2022/08/13 07:29:14 - mmengine - INFO - Checkpoints will be saved to /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb by HardDiskBackend. 2022/08/13 07:31:03 - mmengine - INFO - Epoch(train) [1][100/3757] lr: 1.0070e-02 eta: 12 days, 4:02:21 time: 0.3906 data_time: 0.0121 memory: 13431 grad_norm: 3.8952 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9304 loss: 5.9304 2022/08/13 07:31:43 - mmengine - INFO - Epoch(train) [1][200/3757] lr: 1.0140e-02 eta: 8 days, 7:04:28 time: 0.3954 data_time: 0.0108 memory: 13431 grad_norm: 3.8352 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.8589 loss: 5.8589 2022/08/13 07:32:22 - mmengine - INFO - Epoch(train) [1][300/3757] lr: 1.0211e-02 eta: 6 days, 23:32:24 time: 0.3893 data_time: 0.0107 memory: 13431 grad_norm: 3.7998 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.7256 loss: 5.7256 2022/08/13 07:33:01 - mmengine - INFO - Epoch(train) [1][400/3757] lr: 1.0281e-02 eta: 6 days, 7:52:30 time: 0.3887 data_time: 0.0103 memory: 13431 grad_norm: 3.7526 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.7040 loss: 5.7040 2022/08/13 07:33:41 - mmengine - INFO - Epoch(train) [1][500/3757] lr: 1.0352e-02 eta: 5 days, 22:35:46 time: 0.3903 data_time: 0.0112 memory: 13431 grad_norm: 3.5193 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.6689 loss: 5.6689 2022/08/13 07:34:20 - mmengine - INFO - Epoch(train) [1][600/3757] lr: 1.0422e-02 eta: 5 days, 16:25:27 time: 0.4018 data_time: 0.0116 memory: 13431 grad_norm: 3.5041 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.5239 loss: 5.5239 2022/08/13 07:35:00 - mmengine - INFO - Epoch(train) [1][700/3757] lr: 1.0492e-02 eta: 5 days, 12:04:04 time: 0.3946 data_time: 0.0104 memory: 13431 grad_norm: 3.4107 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.6412 loss: 5.6412 2022/08/13 07:35:39 - mmengine - INFO - Epoch(train) [1][800/3757] lr: 1.0563e-02 eta: 5 days, 8:38:01 time: 0.3896 data_time: 0.0106 memory: 13431 grad_norm: 3.3674 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 5.6034 loss: 5.6034 2022/08/13 07:36:19 - mmengine - INFO - Epoch(train) [1][900/3757] lr: 1.0633e-02 eta: 5 days, 6:02:05 time: 0.3926 data_time: 0.0111 memory: 13431 grad_norm: 3.2357 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.5347 loss: 5.5347 2022/08/13 07:36:58 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 07:36:58 - mmengine - INFO - Epoch(train) [1][1000/3757] lr: 1.0704e-02 eta: 5 days, 3:59:01 time: 0.4065 data_time: 0.0116 memory: 13431 grad_norm: 3.1801 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.6072 loss: 5.6072 2022/08/13 07:37:38 - mmengine - INFO - Epoch(train) [1][1100/3757] lr: 1.0774e-02 eta: 5 days, 2:13:50 time: 0.3919 data_time: 0.0106 memory: 13431 grad_norm: 3.1872 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.5146 loss: 5.5146 2022/08/13 07:38:17 - mmengine - INFO - Epoch(train) [1][1200/3757] lr: 1.0845e-02 eta: 5 days, 0:48:55 time: 0.3960 data_time: 0.0119 memory: 13431 grad_norm: 3.0956 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.5224 loss: 5.5224 2022/08/13 07:38:57 - mmengine - INFO - Epoch(train) [1][1300/3757] lr: 1.0915e-02 eta: 4 days, 23:40:44 time: 0.4109 data_time: 0.0107 memory: 13431 grad_norm: 3.0654 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.4443 loss: 5.4443 2022/08/13 07:39:37 - mmengine - INFO - Epoch(train) [1][1400/3757] lr: 1.0986e-02 eta: 4 days, 22:43:02 time: 0.3949 data_time: 0.0111 memory: 13431 grad_norm: 2.9593 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.6625 loss: 5.6625 2022/08/13 07:40:17 - mmengine - INFO - Epoch(train) [1][1500/3757] lr: 1.1056e-02 eta: 4 days, 21:51:53 time: 0.3995 data_time: 0.0132 memory: 13431 grad_norm: 2.9816 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.3947 loss: 5.3947 2022/08/13 07:40:56 - mmengine - INFO - Epoch(train) [1][1600/3757] lr: 1.1127e-02 eta: 4 days, 21:05:19 time: 0.3985 data_time: 0.0114 memory: 13431 grad_norm: 2.9296 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.5645 loss: 5.5645 2022/08/13 07:41:36 - mmengine - INFO - Epoch(train) [1][1700/3757] lr: 1.1197e-02 eta: 4 days, 20:23:33 time: 0.3900 data_time: 0.0111 memory: 13431 grad_norm: 2.8687 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.6354 loss: 5.6354 2022/08/13 07:42:15 - mmengine - INFO - Epoch(train) [1][1800/3757] lr: 1.1268e-02 eta: 4 days, 19:47:06 time: 0.3897 data_time: 0.0118 memory: 13431 grad_norm: 2.8451 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.4386 loss: 5.4386 2022/08/13 07:42:55 - mmengine - INFO - Epoch(train) [1][1900/3757] lr: 1.1338e-02 eta: 4 days, 19:13:49 time: 0.3908 data_time: 0.0111 memory: 13431 grad_norm: 2.8848 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.2996 loss: 5.2996 2022/08/13 07:43:34 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 07:43:35 - mmengine - INFO - Epoch(train) [1][2000/3757] lr: 1.1408e-02 eta: 4 days, 18:43:13 time: 0.3909 data_time: 0.0123 memory: 13431 grad_norm: 2.8747 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.4385 loss: 5.4385 2022/08/13 07:44:15 - mmengine - INFO - Epoch(train) [1][2100/3757] lr: 1.1479e-02 eta: 4 days, 18:25:21 time: 0.3968 data_time: 0.0126 memory: 13431 grad_norm: 2.7986 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.5056 loss: 5.5056 2022/08/13 07:44:55 - mmengine - INFO - Epoch(train) [1][2200/3757] lr: 1.1549e-02 eta: 4 days, 18:02:31 time: 0.3902 data_time: 0.0115 memory: 13431 grad_norm: 2.8345 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.5399 loss: 5.5399 2022/08/13 07:45:35 - mmengine - INFO - Epoch(train) [1][2300/3757] lr: 1.1620e-02 eta: 4 days, 17:39:42 time: 0.3919 data_time: 0.0126 memory: 13431 grad_norm: 2.7642 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.4735 loss: 5.4735 2022/08/13 07:46:14 - mmengine - INFO - Epoch(train) [1][2400/3757] lr: 1.1690e-02 eta: 4 days, 17:17:43 time: 0.3984 data_time: 0.0126 memory: 13431 grad_norm: 2.8204 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.4865 loss: 5.4865 2022/08/13 07:46:54 - mmengine - INFO - Epoch(train) [1][2500/3757] lr: 1.1761e-02 eta: 4 days, 16:56:55 time: 0.3968 data_time: 0.0127 memory: 13431 grad_norm: 2.7499 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.2894 loss: 5.2894 2022/08/13 07:47:33 - mmengine - INFO - Epoch(train) [1][2600/3757] lr: 1.1831e-02 eta: 4 days, 16:38:00 time: 0.3998 data_time: 0.0118 memory: 13431 grad_norm: 2.7102 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 5.4365 loss: 5.4365 2022/08/13 07:48:13 - mmengine - INFO - Epoch(train) [1][2700/3757] lr: 1.1902e-02 eta: 4 days, 16:22:33 time: 0.4080 data_time: 0.0116 memory: 13431 grad_norm: 2.7090 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.2440 loss: 5.2440 2022/08/13 07:48:53 - mmengine - INFO - Epoch(train) [1][2800/3757] lr: 1.1972e-02 eta: 4 days, 16:12:15 time: 0.3947 data_time: 0.0135 memory: 13431 grad_norm: 2.6255 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.2205 loss: 5.2205 2022/08/13 07:49:33 - mmengine - INFO - Epoch(train) [1][2900/3757] lr: 1.2043e-02 eta: 4 days, 15:58:41 time: 0.3917 data_time: 0.0114 memory: 13431 grad_norm: 2.6888 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.2177 loss: 5.2177 2022/08/13 07:50:13 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 07:50:13 - mmengine - INFO - Epoch(train) [1][3000/3757] lr: 1.2113e-02 eta: 4 days, 15:45:18 time: 0.3917 data_time: 0.0118 memory: 13431 grad_norm: 2.6768 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.3702 loss: 5.3702 2022/08/13 07:50:52 - mmengine - INFO - Epoch(train) [1][3100/3757] lr: 1.2183e-02 eta: 4 days, 15:31:01 time: 0.3919 data_time: 0.0120 memory: 13431 grad_norm: 2.5963 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.2342 loss: 5.2342 2022/08/13 07:51:32 - mmengine - INFO - Epoch(train) [1][3200/3757] lr: 1.2254e-02 eta: 4 days, 15:18:38 time: 0.3907 data_time: 0.0122 memory: 13431 grad_norm: 2.5576 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 5.3020 loss: 5.3020 2022/08/13 07:52:11 - mmengine - INFO - Epoch(train) [1][3300/3757] lr: 1.2324e-02 eta: 4 days, 15:06:54 time: 0.3910 data_time: 0.0125 memory: 13431 grad_norm: 2.5962 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.2912 loss: 5.2912 2022/08/13 07:52:51 - mmengine - INFO - Epoch(train) [1][3400/3757] lr: 1.2395e-02 eta: 4 days, 14:56:22 time: 0.3897 data_time: 0.0116 memory: 13431 grad_norm: 2.5620 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.2359 loss: 5.2359 2022/08/13 07:53:31 - mmengine - INFO - Epoch(train) [1][3500/3757] lr: 1.2465e-02 eta: 4 days, 14:49:07 time: 0.4216 data_time: 0.0125 memory: 13431 grad_norm: 2.5648 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.2658 loss: 5.2658 2022/08/13 07:54:10 - mmengine - INFO - Epoch(train) [1][3600/3757] lr: 1.2536e-02 eta: 4 days, 14:38:42 time: 0.3916 data_time: 0.0124 memory: 13431 grad_norm: 2.5384 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 5.1913 loss: 5.1913 2022/08/13 07:54:50 - mmengine - INFO - Epoch(train) [1][3700/3757] lr: 1.2606e-02 eta: 4 days, 14:27:58 time: 0.3915 data_time: 0.0131 memory: 13431 grad_norm: 2.4725 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.1872 loss: 5.1872 2022/08/13 07:55:12 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 07:55:12 - mmengine - INFO - Epoch(train) [1][3757/3757] lr: 1.2646e-02 eta: 4 days, 14:23:38 time: 0.3821 data_time: 0.0130 memory: 13431 grad_norm: 2.5418 top1_acc: 0.1429 top5_acc: 0.1429 loss_cls: 5.3344 loss: 5.3344 2022/08/13 07:55:53 - mmengine - INFO - Epoch(train) [2][100/3757] lr: 1.2716e-02 eta: 4 days, 13:53:19 time: 0.3939 data_time: 0.0127 memory: 13431 grad_norm: 2.4588 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.3567 loss: 5.3567 2022/08/13 07:56:33 - mmengine - INFO - Epoch(train) [2][200/3757] lr: 1.2787e-02 eta: 4 days, 13:46:58 time: 0.4042 data_time: 0.0158 memory: 13431 grad_norm: 2.5705 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.3178 loss: 5.3178 2022/08/13 07:56:50 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 07:57:13 - mmengine - INFO - Epoch(train) [2][300/3757] lr: 1.2857e-02 eta: 4 days, 13:39:11 time: 0.3967 data_time: 0.0125 memory: 13431 grad_norm: 2.5254 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.1974 loss: 5.1974 2022/08/13 07:57:53 - mmengine - INFO - Epoch(train) [2][400/3757] lr: 1.2928e-02 eta: 4 days, 13:34:48 time: 0.4093 data_time: 0.0124 memory: 13431 grad_norm: 2.5478 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.3642 loss: 5.3642 2022/08/13 07:58:33 - mmengine - INFO - Epoch(train) [2][500/3757] lr: 1.2998e-02 eta: 4 days, 13:28:08 time: 0.4056 data_time: 0.0139 memory: 13431 grad_norm: 2.4722 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.3022 loss: 5.3022 2022/08/13 07:59:13 - mmengine - INFO - Epoch(train) [2][600/3757] lr: 1.3069e-02 eta: 4 days, 13:23:17 time: 0.4193 data_time: 0.0135 memory: 13431 grad_norm: 2.4706 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.2366 loss: 5.2366 2022/08/13 07:59:53 - mmengine - INFO - Epoch(train) [2][700/3757] lr: 1.3139e-02 eta: 4 days, 13:18:26 time: 0.4036 data_time: 0.0147 memory: 13431 grad_norm: 2.4666 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.2854 loss: 5.2854 2022/08/13 08:00:32 - mmengine - INFO - Epoch(train) [2][800/3757] lr: 1.3210e-02 eta: 4 days, 13:12:42 time: 0.4063 data_time: 0.0124 memory: 13431 grad_norm: 2.4855 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.1545 loss: 5.1545 2022/08/13 08:01:12 - mmengine - INFO - Epoch(train) [2][900/3757] lr: 1.3280e-02 eta: 4 days, 13:08:50 time: 0.4129 data_time: 0.0142 memory: 13431 grad_norm: 2.4324 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.2375 loss: 5.2375 2022/08/13 08:01:52 - mmengine - INFO - Epoch(train) [2][1000/3757] lr: 1.3350e-02 eta: 4 days, 13:03:49 time: 0.4047 data_time: 0.0126 memory: 13431 grad_norm: 2.4687 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 5.3072 loss: 5.3072 2022/08/13 08:02:32 - mmengine - INFO - Epoch(train) [2][1100/3757] lr: 1.3421e-02 eta: 4 days, 12:58:56 time: 0.3897 data_time: 0.0122 memory: 13431 grad_norm: 2.4368 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 5.1184 loss: 5.1184 2022/08/13 08:03:12 - mmengine - INFO - Epoch(train) [2][1200/3757] lr: 1.3491e-02 eta: 4 days, 12:54:04 time: 0.3914 data_time: 0.0122 memory: 13431 grad_norm: 2.4284 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.9949 loss: 4.9949 2022/08/13 08:03:29 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 08:03:52 - mmengine - INFO - Epoch(train) [2][1300/3757] lr: 1.3562e-02 eta: 4 days, 12:50:12 time: 0.4011 data_time: 0.0133 memory: 13431 grad_norm: 2.4642 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.2464 loss: 5.2464 2022/08/13 08:04:32 - mmengine - INFO - Epoch(train) [2][1400/3757] lr: 1.3632e-02 eta: 4 days, 12:46:35 time: 0.4182 data_time: 0.0132 memory: 13431 grad_norm: 2.4536 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.2736 loss: 5.2736 2022/08/13 08:05:11 - mmengine - INFO - Epoch(train) [2][1500/3757] lr: 1.3703e-02 eta: 4 days, 12:42:23 time: 0.3999 data_time: 0.0115 memory: 13431 grad_norm: 2.3489 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.3010 loss: 5.3010 2022/08/13 08:05:51 - mmengine - INFO - Epoch(train) [2][1600/3757] lr: 1.3773e-02 eta: 4 days, 12:38:23 time: 0.3941 data_time: 0.0127 memory: 13431 grad_norm: 2.3816 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.2487 loss: 5.2487 2022/08/13 08:06:31 - mmengine - INFO - Epoch(train) [2][1700/3757] lr: 1.3844e-02 eta: 4 days, 12:34:56 time: 0.3977 data_time: 0.0144 memory: 13431 grad_norm: 2.3578 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.1769 loss: 5.1769 2022/08/13 08:07:11 - mmengine - INFO - Epoch(train) [2][1800/3757] lr: 1.3914e-02 eta: 4 days, 12:31:54 time: 0.3957 data_time: 0.0119 memory: 13431 grad_norm: 2.4807 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.1120 loss: 5.1120 2022/08/13 08:07:51 - mmengine - INFO - Epoch(train) [2][1900/3757] lr: 1.3985e-02 eta: 4 days, 12:27:03 time: 0.3916 data_time: 0.0124 memory: 13431 grad_norm: 2.3573 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.1728 loss: 5.1728 2022/08/13 08:08:30 - mmengine - INFO - Epoch(train) [2][2000/3757] lr: 1.4055e-02 eta: 4 days, 12:23:10 time: 0.3971 data_time: 0.0131 memory: 13431 grad_norm: 2.4047 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.0604 loss: 5.0604 2022/08/13 08:09:10 - mmengine - INFO - Epoch(train) [2][2100/3757] lr: 1.4125e-02 eta: 4 days, 12:19:33 time: 0.4044 data_time: 0.0138 memory: 13431 grad_norm: 2.3525 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.1751 loss: 5.1751 2022/08/13 08:09:50 - mmengine - INFO - Epoch(train) [2][2200/3757] lr: 1.4196e-02 eta: 4 days, 12:15:30 time: 0.3997 data_time: 0.0132 memory: 13431 grad_norm: 2.3869 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.9205 loss: 4.9205 2022/08/13 08:10:06 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 08:10:29 - mmengine - INFO - Epoch(train) [2][2300/3757] lr: 1.4266e-02 eta: 4 days, 12:11:35 time: 0.3936 data_time: 0.0120 memory: 13431 grad_norm: 2.3311 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.1318 loss: 5.1318 2022/08/13 08:11:09 - mmengine - INFO - Epoch(train) [2][2400/3757] lr: 1.4337e-02 eta: 4 days, 12:07:52 time: 0.3911 data_time: 0.0121 memory: 13431 grad_norm: 2.3820 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.0690 loss: 5.0690 2022/08/13 08:11:49 - mmengine - INFO - Epoch(train) [2][2500/3757] lr: 1.4407e-02 eta: 4 days, 12:05:20 time: 0.3897 data_time: 0.0132 memory: 13431 grad_norm: 2.3236 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.1589 loss: 5.1589 2022/08/13 08:12:29 - mmengine - INFO - Epoch(train) [2][2600/3757] lr: 1.4478e-02 eta: 4 days, 12:02:46 time: 0.3913 data_time: 0.0120 memory: 13431 grad_norm: 2.3849 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 5.1246 loss: 5.1246 2022/08/13 08:13:09 - mmengine - INFO - Epoch(train) [2][2700/3757] lr: 1.4548e-02 eta: 4 days, 12:01:05 time: 0.3992 data_time: 0.0124 memory: 13431 grad_norm: 2.3498 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 5.0205 loss: 5.0205 2022/08/13 08:13:49 - mmengine - INFO - Epoch(train) [2][2800/3757] lr: 1.4619e-02 eta: 4 days, 11:59:03 time: 0.3912 data_time: 0.0119 memory: 13431 grad_norm: 2.3471 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.9750 loss: 4.9750 2022/08/13 08:14:30 - mmengine - INFO - Epoch(train) [2][2900/3757] lr: 1.4689e-02 eta: 4 days, 11:58:35 time: 0.3996 data_time: 0.0132 memory: 13431 grad_norm: 2.4291 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.0355 loss: 5.0355 2022/08/13 08:15:10 - mmengine - INFO - Epoch(train) [2][3000/3757] lr: 1.4760e-02 eta: 4 days, 11:55:53 time: 0.3949 data_time: 0.0117 memory: 13431 grad_norm: 2.4025 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.9882 loss: 4.9882 2022/08/13 08:15:49 - mmengine - INFO - Epoch(train) [2][3100/3757] lr: 1.4830e-02 eta: 4 days, 11:52:41 time: 0.3901 data_time: 0.0124 memory: 13431 grad_norm: 2.3216 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.9989 loss: 4.9989 2022/08/13 08:16:30 - mmengine - INFO - Epoch(train) [2][3200/3757] lr: 1.4900e-02 eta: 4 days, 11:50:49 time: 0.3911 data_time: 0.0111 memory: 13431 grad_norm: 2.2989 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 5.1220 loss: 5.1220 2022/08/13 08:16:47 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 08:17:09 - mmengine - INFO - Epoch(train) [2][3300/3757] lr: 1.4971e-02 eta: 4 days, 11:48:13 time: 0.3912 data_time: 0.0123 memory: 13431 grad_norm: 2.2972 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.9571 loss: 4.9571 2022/08/13 08:17:49 - mmengine - INFO - Epoch(train) [2][3400/3757] lr: 1.5041e-02 eta: 4 days, 11:45:55 time: 0.3916 data_time: 0.0112 memory: 13431 grad_norm: 2.2687 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.1497 loss: 5.1497 2022/08/13 08:18:29 - mmengine - INFO - Epoch(train) [2][3500/3757] lr: 1.5112e-02 eta: 4 days, 11:43:04 time: 0.3905 data_time: 0.0112 memory: 13431 grad_norm: 2.3574 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.8994 loss: 4.8994 2022/08/13 08:19:09 - mmengine - INFO - Epoch(train) [2][3600/3757] lr: 1.5182e-02 eta: 4 days, 11:40:18 time: 0.3920 data_time: 0.0128 memory: 13431 grad_norm: 2.3110 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.7803 loss: 4.7803 2022/08/13 08:19:48 - mmengine - INFO - Epoch(train) [2][3700/3757] lr: 1.5253e-02 eta: 4 days, 11:37:47 time: 0.3919 data_time: 0.0117 memory: 13431 grad_norm: 2.3395 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.8182 loss: 4.8182 2022/08/13 08:20:11 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 08:20:11 - mmengine - INFO - Epoch(train) [2][3757/3757] lr: 1.5293e-02 eta: 4 days, 11:37:08 time: 0.3875 data_time: 0.0133 memory: 13431 grad_norm: 2.3551 top1_acc: 0.0000 top5_acc: 0.2857 loss_cls: 4.9959 loss: 4.9959 2022/08/13 08:20:54 - mmengine - INFO - Epoch(train) [3][100/3757] lr: 1.5362e-02 eta: 4 days, 11:26:28 time: 0.4047 data_time: 0.0119 memory: 13431 grad_norm: 2.3144 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.0946 loss: 5.0946 2022/08/13 08:21:33 - mmengine - INFO - Epoch(train) [3][200/3757] lr: 1.5432e-02 eta: 4 days, 11:23:53 time: 0.3945 data_time: 0.0128 memory: 13431 grad_norm: 2.2934 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.1305 loss: 5.1305 2022/08/13 08:22:13 - mmengine - INFO - Epoch(train) [3][300/3757] lr: 1.5502e-02 eta: 4 days, 11:20:55 time: 0.3944 data_time: 0.0132 memory: 13431 grad_norm: 2.3854 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 5.1873 loss: 5.1873 2022/08/13 08:22:53 - mmengine - INFO - Epoch(train) [3][400/3757] lr: 1.5573e-02 eta: 4 days, 11:18:55 time: 0.4066 data_time: 0.0145 memory: 13431 grad_norm: 2.2857 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.7650 loss: 4.7650 2022/08/13 08:23:27 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 08:23:32 - mmengine - INFO - Epoch(train) [3][500/3757] lr: 1.5643e-02 eta: 4 days, 11:16:44 time: 0.4053 data_time: 0.0148 memory: 13431 grad_norm: 2.3624 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.6736 loss: 4.6736 2022/08/13 08:24:12 - mmengine - INFO - Epoch(train) [3][600/3757] lr: 1.5714e-02 eta: 4 days, 11:14:17 time: 0.4014 data_time: 0.0136 memory: 13431 grad_norm: 2.3738 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.0322 loss: 5.0322 2022/08/13 08:24:52 - mmengine - INFO - Epoch(train) [3][700/3757] lr: 1.5784e-02 eta: 4 days, 11:11:59 time: 0.4051 data_time: 0.0130 memory: 13431 grad_norm: 2.2685 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.0036 loss: 5.0036 2022/08/13 08:25:32 - mmengine - INFO - Epoch(train) [3][800/3757] lr: 1.5855e-02 eta: 4 days, 11:10:27 time: 0.4037 data_time: 0.0121 memory: 13431 grad_norm: 2.2660 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.1044 loss: 5.1044 2022/08/13 08:26:12 - mmengine - INFO - Epoch(train) [3][900/3757] lr: 1.5925e-02 eta: 4 days, 11:08:57 time: 0.4103 data_time: 0.0139 memory: 13431 grad_norm: 2.3445 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.0702 loss: 5.0702 2022/08/13 08:26:51 - mmengine - INFO - Epoch(train) [3][1000/3757] lr: 1.5996e-02 eta: 4 days, 11:06:30 time: 0.4001 data_time: 0.0136 memory: 13431 grad_norm: 2.3504 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.9997 loss: 4.9997 2022/08/13 08:27:31 - mmengine - INFO - Epoch(train) [3][1100/3757] lr: 1.6066e-02 eta: 4 days, 11:05:03 time: 0.4023 data_time: 0.0125 memory: 13431 grad_norm: 2.2164 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.9738 loss: 4.9738 2022/08/13 08:28:11 - mmengine - INFO - Epoch(train) [3][1200/3757] lr: 1.6137e-02 eta: 4 days, 11:02:51 time: 0.3918 data_time: 0.0110 memory: 13431 grad_norm: 2.2651 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.8713 loss: 4.8713 2022/08/13 08:28:50 - mmengine - INFO - Epoch(train) [3][1300/3757] lr: 1.6207e-02 eta: 4 days, 11:00:37 time: 0.3904 data_time: 0.0111 memory: 13431 grad_norm: 2.2582 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.0028 loss: 5.0028 2022/08/13 08:29:31 - mmengine - INFO - Epoch(train) [3][1400/3757] lr: 1.6277e-02 eta: 4 days, 10:59:49 time: 0.3917 data_time: 0.0117 memory: 13431 grad_norm: 2.2569 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.8805 loss: 4.8805 2022/08/13 08:30:05 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 08:30:11 - mmengine - INFO - Epoch(train) [3][1500/3757] lr: 1.6348e-02 eta: 4 days, 10:58:44 time: 0.3993 data_time: 0.0129 memory: 13431 grad_norm: 2.2795 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.8969 loss: 4.8969 2022/08/13 08:30:51 - mmengine - INFO - Epoch(train) [3][1600/3757] lr: 1.6418e-02 eta: 4 days, 10:56:29 time: 0.3915 data_time: 0.0128 memory: 13431 grad_norm: 2.2611 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.8871 loss: 4.8871 2022/08/13 08:31:31 - mmengine - INFO - Epoch(train) [3][1700/3757] lr: 1.6489e-02 eta: 4 days, 10:55:15 time: 0.3918 data_time: 0.0151 memory: 13431 grad_norm: 2.2337 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.9681 loss: 4.9681 2022/08/13 08:32:10 - mmengine - INFO - Epoch(train) [3][1800/3757] lr: 1.6559e-02 eta: 4 days, 10:53:24 time: 0.3928 data_time: 0.0115 memory: 13431 grad_norm: 2.2101 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.9404 loss: 4.9404 2022/08/13 08:32:50 - mmengine - INFO - Epoch(train) [3][1900/3757] lr: 1.6630e-02 eta: 4 days, 10:52:03 time: 0.3906 data_time: 0.0115 memory: 13431 grad_norm: 2.2357 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.1221 loss: 5.1221 2022/08/13 08:33:30 - mmengine - INFO - Epoch(train) [3][2000/3757] lr: 1.6700e-02 eta: 4 days, 10:49:52 time: 0.3918 data_time: 0.0123 memory: 13431 grad_norm: 2.2048 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.0820 loss: 5.0820 2022/08/13 08:34:10 - mmengine - INFO - Epoch(train) [3][2100/3757] lr: 1.6771e-02 eta: 4 days, 10:48:13 time: 0.3920 data_time: 0.0114 memory: 13431 grad_norm: 2.1858 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.9000 loss: 4.9000 2022/08/13 08:34:50 - mmengine - INFO - Epoch(train) [3][2200/3757] lr: 1.6841e-02 eta: 4 days, 10:46:53 time: 0.3981 data_time: 0.0129 memory: 13431 grad_norm: 2.2190 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.8487 loss: 4.8487 2022/08/13 08:35:29 - mmengine - INFO - Epoch(train) [3][2300/3757] lr: 1.6911e-02 eta: 4 days, 10:45:00 time: 0.3918 data_time: 0.0116 memory: 13431 grad_norm: 2.2731 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.0436 loss: 5.0436 2022/08/13 08:36:09 - mmengine - INFO - Epoch(train) [3][2400/3757] lr: 1.6982e-02 eta: 4 days, 10:43:20 time: 0.3944 data_time: 0.0117 memory: 13431 grad_norm: 2.2014 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.8182 loss: 4.8182 2022/08/13 08:36:43 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 08:36:49 - mmengine - INFO - Epoch(train) [3][2500/3757] lr: 1.7052e-02 eta: 4 days, 10:41:17 time: 0.3919 data_time: 0.0125 memory: 13431 grad_norm: 2.1399 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.9436 loss: 4.9436 2022/08/13 08:37:29 - mmengine - INFO - Epoch(train) [3][2600/3757] lr: 1.7123e-02 eta: 4 days, 10:40:03 time: 0.4074 data_time: 0.0168 memory: 13431 grad_norm: 2.2083 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.8738 loss: 4.8738 2022/08/13 08:38:09 - mmengine - INFO - Epoch(train) [3][2700/3757] lr: 1.7193e-02 eta: 4 days, 10:39:37 time: 0.4032 data_time: 0.0138 memory: 13431 grad_norm: 2.2185 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.9043 loss: 4.9043 2022/08/13 08:38:49 - mmengine - INFO - Epoch(train) [3][2800/3757] lr: 1.7264e-02 eta: 4 days, 10:38:31 time: 0.4275 data_time: 0.0134 memory: 13431 grad_norm: 2.2186 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.8481 loss: 4.8481 2022/08/13 08:39:29 - mmengine - INFO - Epoch(train) [3][2900/3757] lr: 1.7334e-02 eta: 4 days, 10:37:14 time: 0.4029 data_time: 0.0156 memory: 13431 grad_norm: 2.2105 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.7143 loss: 4.7143 2022/08/13 08:40:09 - mmengine - INFO - Epoch(train) [3][3000/3757] lr: 1.7405e-02 eta: 4 days, 10:35:42 time: 0.3967 data_time: 0.0123 memory: 13431 grad_norm: 2.1813 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.6512 loss: 4.6512 2022/08/13 08:40:48 - mmengine - INFO - Epoch(train) [3][3100/3757] lr: 1.7475e-02 eta: 4 days, 10:33:49 time: 0.3948 data_time: 0.0121 memory: 13431 grad_norm: 2.1990 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.5997 loss: 4.5997 2022/08/13 08:41:28 - mmengine - INFO - Epoch(train) [3][3200/3757] lr: 1.7545e-02 eta: 4 days, 10:32:36 time: 0.3960 data_time: 0.0128 memory: 13431 grad_norm: 2.2075 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.9743 loss: 4.9743 2022/08/13 08:42:08 - mmengine - INFO - Epoch(train) [3][3300/3757] lr: 1.7616e-02 eta: 4 days, 10:31:09 time: 0.4022 data_time: 0.0130 memory: 13431 grad_norm: 2.2487 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.6938 loss: 4.6938 2022/08/13 08:42:49 - mmengine - INFO - Epoch(train) [3][3400/3757] lr: 1.7686e-02 eta: 4 days, 10:30:38 time: 0.4075 data_time: 0.0131 memory: 13431 grad_norm: 2.2391 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.8978 loss: 4.8978 2022/08/13 08:43:23 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 08:43:28 - mmengine - INFO - Epoch(train) [3][3500/3757] lr: 1.7757e-02 eta: 4 days, 10:29:07 time: 0.4086 data_time: 0.0152 memory: 13431 grad_norm: 2.2354 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.7463 loss: 4.7463 2022/08/13 08:44:09 - mmengine - INFO - Epoch(train) [3][3600/3757] lr: 1.7827e-02 eta: 4 days, 10:28:41 time: 0.4343 data_time: 0.0158 memory: 13431 grad_norm: 2.1585 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.8431 loss: 4.8431 2022/08/13 08:44:49 - mmengine - INFO - Epoch(train) [3][3700/3757] lr: 1.7898e-02 eta: 4 days, 10:28:16 time: 0.4010 data_time: 0.0127 memory: 13431 grad_norm: 2.2161 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.8080 loss: 4.8080 2022/08/13 08:45:13 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 08:45:13 - mmengine - INFO - Epoch(train) [3][3757/3757] lr: 1.7938e-02 eta: 4 days, 10:29:06 time: 0.3783 data_time: 0.0119 memory: 13431 grad_norm: 2.2000 top1_acc: 0.0000 top5_acc: 0.1429 loss_cls: 4.8610 loss: 4.8610 2022/08/13 08:45:55 - mmengine - INFO - Epoch(train) [4][100/3757] lr: 1.8005e-02 eta: 4 days, 10:21:17 time: 0.3921 data_time: 0.0117 memory: 13431 grad_norm: 2.1962 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.6492 loss: 4.6492 2022/08/13 08:46:35 - mmengine - INFO - Epoch(train) [4][200/3757] lr: 1.8075e-02 eta: 4 days, 10:19:39 time: 0.3917 data_time: 0.0129 memory: 13431 grad_norm: 2.1698 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.6682 loss: 4.6682 2022/08/13 08:47:14 - mmengine - INFO - Epoch(train) [4][300/3757] lr: 1.8146e-02 eta: 4 days, 10:18:35 time: 0.4084 data_time: 0.0140 memory: 13431 grad_norm: 2.2544 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.8771 loss: 4.8771 2022/08/13 08:47:54 - mmengine - INFO - Epoch(train) [4][400/3757] lr: 1.8216e-02 eta: 4 days, 10:17:11 time: 0.3955 data_time: 0.0146 memory: 13431 grad_norm: 2.2358 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.7152 loss: 4.7152 2022/08/13 08:48:34 - mmengine - INFO - Epoch(train) [4][500/3757] lr: 1.8287e-02 eta: 4 days, 10:15:50 time: 0.3974 data_time: 0.0132 memory: 13431 grad_norm: 2.1783 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.6593 loss: 4.6593 2022/08/13 08:49:14 - mmengine - INFO - Epoch(train) [4][600/3757] lr: 1.8357e-02 eta: 4 days, 10:14:42 time: 0.3899 data_time: 0.0129 memory: 13431 grad_norm: 2.1822 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.9877 loss: 4.9877 2022/08/13 08:49:54 - mmengine - INFO - Epoch(train) [4][700/3757] lr: 1.8427e-02 eta: 4 days, 10:14:02 time: 0.3909 data_time: 0.0116 memory: 13431 grad_norm: 2.2557 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.6666 loss: 4.6666 2022/08/13 08:50:06 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 08:50:34 - mmengine - INFO - Epoch(train) [4][800/3757] lr: 1.8498e-02 eta: 4 days, 10:12:53 time: 0.3916 data_time: 0.0125 memory: 13431 grad_norm: 2.2153 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.5901 loss: 4.5901 2022/08/13 08:51:15 - mmengine - INFO - Epoch(train) [4][900/3757] lr: 1.8568e-02 eta: 4 days, 10:12:58 time: 0.3975 data_time: 0.0116 memory: 13431 grad_norm: 2.2007 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.8145 loss: 4.8145 2022/08/13 08:51:56 - mmengine - INFO - Epoch(train) [4][1000/3757] lr: 1.8639e-02 eta: 4 days, 10:12:58 time: 0.3999 data_time: 0.0119 memory: 13431 grad_norm: 2.2052 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.8084 loss: 4.8084 2022/08/13 08:52:36 - mmengine - INFO - Epoch(train) [4][1100/3757] lr: 1.8709e-02 eta: 4 days, 10:12:41 time: 0.3922 data_time: 0.0122 memory: 13431 grad_norm: 2.2191 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.9577 loss: 4.9577 2022/08/13 08:53:16 - mmengine - INFO - Epoch(train) [4][1200/3757] lr: 1.8780e-02 eta: 4 days, 10:11:23 time: 0.4046 data_time: 0.0120 memory: 13431 grad_norm: 2.2123 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.8255 loss: 4.8255 2022/08/13 08:53:56 - mmengine - INFO - Epoch(train) [4][1300/3757] lr: 1.8850e-02 eta: 4 days, 10:10:41 time: 0.3928 data_time: 0.0124 memory: 13431 grad_norm: 2.2071 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.7677 loss: 4.7677 2022/08/13 08:54:36 - mmengine - INFO - Epoch(train) [4][1400/3757] lr: 1.8921e-02 eta: 4 days, 10:09:16 time: 0.3921 data_time: 0.0121 memory: 13431 grad_norm: 2.2911 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.8265 loss: 4.8265 2022/08/13 08:55:17 - mmengine - INFO - Epoch(train) [4][1500/3757] lr: 1.8991e-02 eta: 4 days, 10:09:02 time: 0.3954 data_time: 0.0122 memory: 13431 grad_norm: 2.2721 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.7052 loss: 4.7052 2022/08/13 08:55:57 - mmengine - INFO - Epoch(train) [4][1600/3757] lr: 1.9061e-02 eta: 4 days, 10:08:41 time: 0.4014 data_time: 0.0137 memory: 13431 grad_norm: 2.1704 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.5967 loss: 4.5967 2022/08/13 08:56:37 - mmengine - INFO - Epoch(train) [4][1700/3757] lr: 1.9132e-02 eta: 4 days, 10:07:19 time: 0.3979 data_time: 0.0127 memory: 13431 grad_norm: 2.1260 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.8665 loss: 4.8665 2022/08/13 08:56:49 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 08:57:17 - mmengine - INFO - Epoch(train) [4][1800/3757] lr: 1.9202e-02 eta: 4 days, 10:06:31 time: 0.4067 data_time: 0.0136 memory: 13431 grad_norm: 2.3026 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.8348 loss: 4.8348 2022/08/13 08:57:57 - mmengine - INFO - Epoch(train) [4][1900/3757] lr: 1.9273e-02 eta: 4 days, 10:05:34 time: 0.4051 data_time: 0.0125 memory: 13431 grad_norm: 2.2456 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.6585 loss: 4.6585 2022/08/13 08:58:37 - mmengine - INFO - Epoch(train) [4][2000/3757] lr: 1.9343e-02 eta: 4 days, 10:04:37 time: 0.3918 data_time: 0.0117 memory: 13431 grad_norm: 2.1954 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.8174 loss: 4.8174 2022/08/13 08:59:17 - mmengine - INFO - Epoch(train) [4][2100/3757] lr: 1.9414e-02 eta: 4 days, 10:03:21 time: 0.3920 data_time: 0.0123 memory: 13431 grad_norm: 2.2191 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.7089 loss: 4.7089 2022/08/13 08:59:57 - mmengine - INFO - Epoch(train) [4][2200/3757] lr: 1.9484e-02 eta: 4 days, 10:02:06 time: 0.3948 data_time: 0.0129 memory: 13431 grad_norm: 2.2235 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.6012 loss: 4.6012 2022/08/13 09:00:37 - mmengine - INFO - Epoch(train) [4][2300/3757] lr: 1.9554e-02 eta: 4 days, 10:01:24 time: 0.3925 data_time: 0.0138 memory: 13431 grad_norm: 2.2934 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.7366 loss: 4.7366 2022/08/13 09:01:17 - mmengine - INFO - Epoch(train) [4][2400/3757] lr: 1.9625e-02 eta: 4 days, 10:00:13 time: 0.3935 data_time: 0.0128 memory: 13431 grad_norm: 2.2096 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.8184 loss: 4.8184 2022/08/13 09:01:57 - mmengine - INFO - Epoch(train) [4][2500/3757] lr: 1.9695e-02 eta: 4 days, 9:59:36 time: 0.3909 data_time: 0.0133 memory: 13431 grad_norm: 2.2553 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.7449 loss: 4.7449 2022/08/13 09:02:37 - mmengine - INFO - Epoch(train) [4][2600/3757] lr: 1.9766e-02 eta: 4 days, 9:59:05 time: 0.4062 data_time: 0.0121 memory: 13431 grad_norm: 2.2541 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.6206 loss: 4.6206 2022/08/13 09:03:17 - mmengine - INFO - Epoch(train) [4][2700/3757] lr: 1.9836e-02 eta: 4 days, 9:58:07 time: 0.3949 data_time: 0.0133 memory: 13431 grad_norm: 2.2459 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.8840 loss: 4.8840 2022/08/13 09:03:29 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 09:03:57 - mmengine - INFO - Epoch(train) [4][2800/3757] lr: 1.9907e-02 eta: 4 days, 9:57:02 time: 0.3925 data_time: 0.0126 memory: 13431 grad_norm: 2.1909 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.7817 loss: 4.7817 2022/08/13 09:04:38 - mmengine - INFO - Epoch(train) [4][2900/3757] lr: 1.9977e-02 eta: 4 days, 9:56:30 time: 0.3902 data_time: 0.0118 memory: 13431 grad_norm: 2.2241 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.7109 loss: 4.7109 2022/08/13 09:05:18 - mmengine - INFO - Epoch(train) [4][3000/3757] lr: 2.0047e-02 eta: 4 days, 9:55:42 time: 0.3914 data_time: 0.0118 memory: 13431 grad_norm: 2.2227 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.7621 loss: 4.7621 2022/08/13 09:05:58 - mmengine - INFO - Epoch(train) [4][3100/3757] lr: 2.0118e-02 eta: 4 days, 9:54:31 time: 0.3947 data_time: 0.0122 memory: 13431 grad_norm: 2.2749 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.5941 loss: 4.5941 2022/08/13 09:06:38 - mmengine - INFO - Epoch(train) [4][3200/3757] lr: 2.0188e-02 eta: 4 days, 9:53:42 time: 0.3995 data_time: 0.0134 memory: 13431 grad_norm: 2.2601 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.6644 loss: 4.6644 2022/08/13 09:07:18 - mmengine - INFO - Epoch(train) [4][3300/3757] lr: 2.0259e-02 eta: 4 days, 9:52:49 time: 0.4064 data_time: 0.0115 memory: 13431 grad_norm: 2.2395 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.6233 loss: 4.6233 2022/08/13 09:07:58 - mmengine - INFO - Epoch(train) [4][3400/3757] lr: 2.0329e-02 eta: 4 days, 9:51:43 time: 0.3916 data_time: 0.0115 memory: 13431 grad_norm: 2.2556 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 4.7701 loss: 4.7701 2022/08/13 09:08:38 - mmengine - INFO - Epoch(train) [4][3500/3757] lr: 2.0400e-02 eta: 4 days, 9:50:43 time: 0.3915 data_time: 0.0132 memory: 13431 grad_norm: 2.2381 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.6721 loss: 4.6721 2022/08/13 09:09:18 - mmengine - INFO - Epoch(train) [4][3600/3757] lr: 2.0470e-02 eta: 4 days, 9:50:01 time: 0.3909 data_time: 0.0124 memory: 13431 grad_norm: 2.2728 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.8607 loss: 4.8607 2022/08/13 09:09:57 - mmengine - INFO - Epoch(train) [4][3700/3757] lr: 2.0540e-02 eta: 4 days, 9:48:44 time: 0.3958 data_time: 0.0131 memory: 13431 grad_norm: 2.2514 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.5562 loss: 4.5562 2022/08/13 09:10:09 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 09:10:20 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 09:10:20 - mmengine - INFO - Epoch(train) [4][3757/3757] lr: 2.0581e-02 eta: 4 days, 9:48:11 time: 0.3811 data_time: 0.0123 memory: 13431 grad_norm: 2.2775 top1_acc: 0.0000 top5_acc: 0.1429 loss_cls: 4.4505 loss: 4.4505 2022/08/13 09:10:20 - mmengine - INFO - Saving checkpoint at 4 epochs 2022/08/13 09:11:05 - mmengine - INFO - Epoch(train) [5][100/3757] lr: 2.0646e-02 eta: 4 days, 9:41:26 time: 0.4007 data_time: 0.0145 memory: 13431 grad_norm: 2.3255 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.5435 loss: 4.5435 2022/08/13 09:11:45 - mmengine - INFO - Epoch(train) [5][200/3757] lr: 2.0716e-02 eta: 4 days, 9:40:12 time: 0.3919 data_time: 0.0117 memory: 13431 grad_norm: 2.3034 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.5615 loss: 4.5615 2022/08/13 09:12:25 - mmengine - INFO - Epoch(train) [5][300/3757] lr: 2.0786e-02 eta: 4 days, 9:39:27 time: 0.3912 data_time: 0.0132 memory: 13431 grad_norm: 2.2104 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.6877 loss: 4.6877 2022/08/13 09:13:05 - mmengine - INFO - Epoch(train) [5][400/3757] lr: 2.0857e-02 eta: 4 days, 9:38:20 time: 0.3923 data_time: 0.0137 memory: 13431 grad_norm: 2.2422 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.5234 loss: 4.5234 2022/08/13 09:13:45 - mmengine - INFO - Epoch(train) [5][500/3757] lr: 2.0927e-02 eta: 4 days, 9:37:07 time: 0.3925 data_time: 0.0126 memory: 13431 grad_norm: 2.2159 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.6760 loss: 4.6760 2022/08/13 09:14:24 - mmengine - INFO - Epoch(train) [5][600/3757] lr: 2.0998e-02 eta: 4 days, 9:35:58 time: 0.3909 data_time: 0.0132 memory: 13431 grad_norm: 2.2933 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.5380 loss: 4.5380 2022/08/13 09:15:05 - mmengine - INFO - Epoch(train) [5][700/3757] lr: 2.1068e-02 eta: 4 days, 9:35:24 time: 0.3923 data_time: 0.0117 memory: 13431 grad_norm: 2.2894 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.7147 loss: 4.7147 2022/08/13 09:15:45 - mmengine - INFO - Epoch(train) [5][800/3757] lr: 2.1139e-02 eta: 4 days, 9:34:29 time: 0.3901 data_time: 0.0120 memory: 13431 grad_norm: 2.2464 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.7188 loss: 4.7188 2022/08/13 09:16:24 - mmengine - INFO - Epoch(train) [5][900/3757] lr: 2.1209e-02 eta: 4 days, 9:33:23 time: 0.3923 data_time: 0.0121 memory: 13431 grad_norm: 2.3029 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.6645 loss: 4.6645 2022/08/13 09:16:54 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 09:17:05 - mmengine - INFO - Epoch(train) [5][1000/3757] lr: 2.1279e-02 eta: 4 days, 9:32:52 time: 0.3918 data_time: 0.0126 memory: 13431 grad_norm: 2.2328 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.5239 loss: 4.5239 2022/08/13 09:17:44 - mmengine - INFO - Epoch(train) [5][1100/3757] lr: 2.1350e-02 eta: 4 days, 9:31:42 time: 0.3940 data_time: 0.0131 memory: 13431 grad_norm: 2.2814 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.4065 loss: 4.4065 2022/08/13 09:18:24 - mmengine - INFO - Epoch(train) [5][1200/3757] lr: 2.1420e-02 eta: 4 days, 9:30:44 time: 0.3914 data_time: 0.0120 memory: 13431 grad_norm: 2.2033 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.4902 loss: 4.4902 2022/08/13 09:19:04 - mmengine - INFO - Epoch(train) [5][1300/3757] lr: 2.1491e-02 eta: 4 days, 9:29:53 time: 0.4015 data_time: 0.0141 memory: 13431 grad_norm: 2.3138 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.5062 loss: 4.5062 2022/08/13 09:19:45 - mmengine - INFO - Epoch(train) [5][1400/3757] lr: 2.1561e-02 eta: 4 days, 9:29:34 time: 0.3902 data_time: 0.0112 memory: 13431 grad_norm: 2.1982 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.6216 loss: 4.6216 2022/08/13 09:20:25 - mmengine - INFO - Epoch(train) [5][1500/3757] lr: 2.1631e-02 eta: 4 days, 9:28:48 time: 0.3917 data_time: 0.0115 memory: 13431 grad_norm: 2.2711 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.5913 loss: 4.5913 2022/08/13 09:21:04 - mmengine - INFO - Epoch(train) [5][1600/3757] lr: 2.1702e-02 eta: 4 days, 9:27:38 time: 0.3899 data_time: 0.0118 memory: 13431 grad_norm: 2.2464 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.7021 loss: 4.7021 2022/08/13 09:21:44 - mmengine - INFO - Epoch(train) [5][1700/3757] lr: 2.1772e-02 eta: 4 days, 9:26:44 time: 0.3919 data_time: 0.0131 memory: 13431 grad_norm: 2.3069 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.6265 loss: 4.6265 2022/08/13 09:22:24 - mmengine - INFO - Epoch(train) [5][1800/3757] lr: 2.1843e-02 eta: 4 days, 9:25:37 time: 0.3911 data_time: 0.0124 memory: 13431 grad_norm: 2.2687 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.5562 loss: 4.5562 2022/08/13 09:23:04 - mmengine - INFO - Epoch(train) [5][1900/3757] lr: 2.1913e-02 eta: 4 days, 9:24:43 time: 0.3919 data_time: 0.0125 memory: 13431 grad_norm: 2.2768 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.5876 loss: 4.5876 2022/08/13 09:23:33 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 09:23:44 - mmengine - INFO - Epoch(train) [5][2000/3757] lr: 2.1984e-02 eta: 4 days, 9:23:48 time: 0.3936 data_time: 0.0118 memory: 13431 grad_norm: 2.2615 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.4348 loss: 4.4348 2022/08/13 09:24:24 - mmengine - INFO - Epoch(train) [5][2100/3757] lr: 2.2054e-02 eta: 4 days, 9:23:08 time: 0.3915 data_time: 0.0112 memory: 13431 grad_norm: 2.2923 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 4.2543 loss: 4.2543 2022/08/13 09:25:04 - mmengine - INFO - Epoch(train) [5][2200/3757] lr: 2.2124e-02 eta: 4 days, 9:22:03 time: 0.3941 data_time: 0.0122 memory: 13431 grad_norm: 2.2807 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.3285 loss: 4.3285 2022/08/13 09:25:43 - mmengine - INFO - Epoch(train) [5][2300/3757] lr: 2.2195e-02 eta: 4 days, 9:20:56 time: 0.3933 data_time: 0.0123 memory: 13431 grad_norm: 2.2624 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.7623 loss: 4.7623 2022/08/13 09:26:24 - mmengine - INFO - Epoch(train) [5][2400/3757] lr: 2.2265e-02 eta: 4 days, 9:21:01 time: 0.3902 data_time: 0.0113 memory: 13431 grad_norm: 2.2866 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.3292 loss: 4.3292 2022/08/13 09:27:04 - mmengine - INFO - Epoch(train) [5][2500/3757] lr: 2.2336e-02 eta: 4 days, 9:19:59 time: 0.3916 data_time: 0.0120 memory: 13431 grad_norm: 2.2947 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.5389 loss: 4.5389 2022/08/13 09:27:44 - mmengine - INFO - Epoch(train) [5][2600/3757] lr: 2.2406e-02 eta: 4 days, 9:19:10 time: 0.3919 data_time: 0.0131 memory: 13431 grad_norm: 2.3042 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.3948 loss: 4.3948 2022/08/13 09:28:24 - mmengine - INFO - Epoch(train) [5][2700/3757] lr: 2.2476e-02 eta: 4 days, 9:18:23 time: 0.3950 data_time: 0.0119 memory: 13431 grad_norm: 2.3339 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.5859 loss: 4.5859 2022/08/13 09:29:04 - mmengine - INFO - Epoch(train) [5][2800/3757] lr: 2.2547e-02 eta: 4 days, 9:17:26 time: 0.4000 data_time: 0.0148 memory: 13431 grad_norm: 2.2997 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.3027 loss: 4.3027 2022/08/13 09:29:44 - mmengine - INFO - Epoch(train) [5][2900/3757] lr: 2.2617e-02 eta: 4 days, 9:16:44 time: 0.4048 data_time: 0.0145 memory: 13431 grad_norm: 2.3158 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 4.4987 loss: 4.4987 2022/08/13 09:30:13 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 09:30:24 - mmengine - INFO - Epoch(train) [5][3000/3757] lr: 2.2688e-02 eta: 4 days, 9:16:01 time: 0.4054 data_time: 0.0139 memory: 13431 grad_norm: 2.2417 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.4624 loss: 4.4624 2022/08/13 09:31:04 - mmengine - INFO - Epoch(train) [5][3100/3757] lr: 2.2758e-02 eta: 4 days, 9:15:18 time: 0.3973 data_time: 0.0125 memory: 13431 grad_norm: 2.3032 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 4.4412 loss: 4.4412 2022/08/13 09:31:44 - mmengine - INFO - Epoch(train) [5][3200/3757] lr: 2.2828e-02 eta: 4 days, 9:14:15 time: 0.3913 data_time: 0.0122 memory: 13431 grad_norm: 2.3217 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.4019 loss: 4.4019 2022/08/13 09:32:24 - mmengine - INFO - Epoch(train) [5][3300/3757] lr: 2.2899e-02 eta: 4 days, 9:12:54 time: 0.3913 data_time: 0.0119 memory: 13431 grad_norm: 2.3379 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.5988 loss: 4.5988 2022/08/13 09:33:03 - mmengine - INFO - Epoch(train) [5][3400/3757] lr: 2.2969e-02 eta: 4 days, 9:11:43 time: 0.3905 data_time: 0.0121 memory: 13431 grad_norm: 2.3408 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.2578 loss: 4.2578 2022/08/13 09:33:43 - mmengine - INFO - Epoch(train) [5][3500/3757] lr: 2.3040e-02 eta: 4 days, 9:10:38 time: 0.3935 data_time: 0.0119 memory: 13431 grad_norm: 2.3125 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.2627 loss: 4.2627 2022/08/13 09:34:23 - mmengine - INFO - Epoch(train) [5][3600/3757] lr: 2.3110e-02 eta: 4 days, 9:09:39 time: 0.3928 data_time: 0.0136 memory: 13431 grad_norm: 2.3339 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.1946 loss: 4.1946 2022/08/13 09:35:03 - mmengine - INFO - Epoch(train) [5][3700/3757] lr: 2.3181e-02 eta: 4 days, 9:08:52 time: 0.3964 data_time: 0.0141 memory: 13431 grad_norm: 2.2654 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.6451 loss: 4.6451 2022/08/13 09:35:25 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 09:35:25 - mmengine - INFO - Epoch(train) [5][3757/3757] lr: 2.3221e-02 eta: 4 days, 9:08:46 time: 0.3847 data_time: 0.0130 memory: 13431 grad_norm: 2.2786 top1_acc: 0.1429 top5_acc: 0.2857 loss_cls: 4.3023 loss: 4.3023 2022/08/13 09:36:36 - mmengine - INFO - Epoch(val) [5][100/310] eta: 0:00:41 time: 0.1981 data_time: 0.0703 memory: 1974 2022/08/13 09:36:58 - mmengine - INFO - Epoch(val) [5][200/310] eta: 0:00:21 time: 0.1989 data_time: 0.0662 memory: 1974 2022/08/13 09:37:19 - mmengine - INFO - Epoch(val) [5][300/310] eta: 0:00:02 time: 0.2120 data_time: 0.0806 memory: 1974 2022/08/13 09:37:24 - mmengine - INFO - Epoch(val) [5][310/310] acc/top1: 0.1375 acc/top5: 0.3373 acc/mean1: 0.1375 2022/08/13 09:37:27 - mmengine - INFO - The best checkpoint with 0.1375 acc/top1 at 6 epoch is saved to best_acc/top1_epoch_6.pth. 2022/08/13 09:38:07 - mmengine - INFO - Epoch(train) [6][100/3757] lr: 2.3283e-02 eta: 4 days, 9:02:35 time: 0.3913 data_time: 0.0133 memory: 13431 grad_norm: 2.3460 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.3411 loss: 4.3411 2022/08/13 09:38:47 - mmengine - INFO - Epoch(train) [6][200/3757] lr: 2.3354e-02 eta: 4 days, 9:01:47 time: 0.3923 data_time: 0.0114 memory: 13431 grad_norm: 2.3598 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.6308 loss: 4.6308 2022/08/13 09:38:53 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 09:39:27 - mmengine - INFO - Epoch(train) [6][300/3757] lr: 2.3424e-02 eta: 4 days, 9:00:39 time: 0.3905 data_time: 0.0124 memory: 13431 grad_norm: 2.3194 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.4448 loss: 4.4448 2022/08/13 09:40:06 - mmengine - INFO - Epoch(train) [6][400/3757] lr: 2.3494e-02 eta: 4 days, 8:59:26 time: 0.3910 data_time: 0.0137 memory: 13431 grad_norm: 2.3457 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.7813 loss: 4.7813 2022/08/13 09:40:46 - mmengine - INFO - Epoch(train) [6][500/3757] lr: 2.3565e-02 eta: 4 days, 8:58:28 time: 0.3940 data_time: 0.0137 memory: 13431 grad_norm: 2.3159 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.3689 loss: 4.3689 2022/08/13 09:41:26 - mmengine - INFO - Epoch(train) [6][600/3757] lr: 2.3635e-02 eta: 4 days, 8:57:49 time: 0.4027 data_time: 0.0123 memory: 13431 grad_norm: 2.3209 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.0969 loss: 4.0969 2022/08/13 09:42:06 - mmengine - INFO - Epoch(train) [6][700/3757] lr: 2.3706e-02 eta: 4 days, 8:57:13 time: 0.3909 data_time: 0.0118 memory: 13431 grad_norm: 2.2892 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.2798 loss: 4.2798 2022/08/13 09:42:46 - mmengine - INFO - Epoch(train) [6][800/3757] lr: 2.3776e-02 eta: 4 days, 8:56:20 time: 0.3917 data_time: 0.0126 memory: 13431 grad_norm: 2.3267 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.4619 loss: 4.4619 2022/08/13 09:43:26 - mmengine - INFO - Epoch(train) [6][900/3757] lr: 2.3846e-02 eta: 4 days, 8:55:36 time: 0.4021 data_time: 0.0142 memory: 13431 grad_norm: 2.4316 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.3686 loss: 4.3686 2022/08/13 09:44:06 - mmengine - INFO - Epoch(train) [6][1000/3757] lr: 2.3917e-02 eta: 4 days, 8:54:36 time: 0.3981 data_time: 0.0138 memory: 13431 grad_norm: 2.3634 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.5678 loss: 4.5678 2022/08/13 09:44:46 - mmengine - INFO - Epoch(train) [6][1100/3757] lr: 2.3987e-02 eta: 4 days, 8:53:54 time: 0.4161 data_time: 0.0143 memory: 13431 grad_norm: 2.3467 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.2506 loss: 4.2506 2022/08/13 09:45:25 - mmengine - INFO - Epoch(train) [6][1200/3757] lr: 2.4058e-02 eta: 4 days, 8:52:53 time: 0.4017 data_time: 0.0131 memory: 13431 grad_norm: 2.3294 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.0828 loss: 4.0828 2022/08/13 09:45:31 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 09:46:05 - mmengine - INFO - Epoch(train) [6][1300/3757] lr: 2.4128e-02 eta: 4 days, 8:52:03 time: 0.3997 data_time: 0.0128 memory: 13431 grad_norm: 2.3475 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 4.1897 loss: 4.1897 2022/08/13 09:46:45 - mmengine - INFO - Epoch(train) [6][1400/3757] lr: 2.4198e-02 eta: 4 days, 8:51:13 time: 0.3935 data_time: 0.0124 memory: 13431 grad_norm: 2.3954 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.4034 loss: 4.4034 2022/08/13 09:47:25 - mmengine - INFO - Epoch(train) [6][1500/3757] lr: 2.4269e-02 eta: 4 days, 8:50:04 time: 0.3969 data_time: 0.0139 memory: 13431 grad_norm: 2.3725 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.3238 loss: 4.3238 2022/08/13 09:48:05 - mmengine - INFO - Epoch(train) [6][1600/3757] lr: 2.4339e-02 eta: 4 days, 8:49:12 time: 0.4033 data_time: 0.0147 memory: 13431 grad_norm: 2.3258 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.2926 loss: 4.2926 2022/08/13 09:48:45 - mmengine - INFO - Epoch(train) [6][1700/3757] lr: 2.4409e-02 eta: 4 days, 8:48:46 time: 0.4102 data_time: 0.0161 memory: 13431 grad_norm: 2.3993 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 4.2575 loss: 4.2575 2022/08/13 09:49:25 - mmengine - INFO - Epoch(train) [6][1800/3757] lr: 2.4480e-02 eta: 4 days, 8:47:49 time: 0.4020 data_time: 0.0144 memory: 13431 grad_norm: 2.4252 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 4.4024 loss: 4.4024 2022/08/13 09:50:05 - mmengine - INFO - Epoch(train) [6][1900/3757] lr: 2.4550e-02 eta: 4 days, 8:47:11 time: 0.4063 data_time: 0.0141 memory: 13431 grad_norm: 2.4117 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.1906 loss: 4.1906 2022/08/13 09:50:45 - mmengine - INFO - Epoch(train) [6][2000/3757] lr: 2.4621e-02 eta: 4 days, 8:46:36 time: 0.4037 data_time: 0.0118 memory: 13431 grad_norm: 2.4061 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.1277 loss: 4.1277 2022/08/13 09:51:25 - mmengine - INFO - Epoch(train) [6][2100/3757] lr: 2.4691e-02 eta: 4 days, 8:46:02 time: 0.3939 data_time: 0.0121 memory: 13431 grad_norm: 2.3362 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.2550 loss: 4.2550 2022/08/13 09:52:05 - mmengine - INFO - Epoch(train) [6][2200/3757] lr: 2.4761e-02 eta: 4 days, 8:45:23 time: 0.3952 data_time: 0.0135 memory: 13431 grad_norm: 2.3901 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 4.2074 loss: 4.2074 2022/08/13 09:52:12 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 09:52:46 - mmengine - INFO - Epoch(train) [6][2300/3757] lr: 2.4832e-02 eta: 4 days, 8:44:49 time: 0.4005 data_time: 0.0259 memory: 13431 grad_norm: 2.3875 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.5115 loss: 4.5115 2022/08/13 09:53:26 - mmengine - INFO - Epoch(train) [6][2400/3757] lr: 2.4902e-02 eta: 4 days, 8:44:10 time: 0.3918 data_time: 0.0134 memory: 13431 grad_norm: 2.3620 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.2976 loss: 4.2976 2022/08/13 09:54:06 - mmengine - INFO - Epoch(train) [6][2500/3757] lr: 2.4973e-02 eta: 4 days, 8:43:18 time: 0.3922 data_time: 0.0133 memory: 13431 grad_norm: 2.3979 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.3544 loss: 4.3544 2022/08/13 09:54:45 - mmengine - INFO - Epoch(train) [6][2600/3757] lr: 2.5043e-02 eta: 4 days, 8:42:33 time: 0.3919 data_time: 0.0130 memory: 13431 grad_norm: 2.4237 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.3122 loss: 4.3122 2022/08/13 09:55:26 - mmengine - INFO - Epoch(train) [6][2700/3757] lr: 2.5113e-02 eta: 4 days, 8:42:11 time: 0.4047 data_time: 0.0126 memory: 13431 grad_norm: 2.4671 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.3076 loss: 4.3076 2022/08/13 09:56:06 - mmengine - INFO - Epoch(train) [6][2800/3757] lr: 2.5184e-02 eta: 4 days, 8:41:26 time: 0.3934 data_time: 0.0135 memory: 13431 grad_norm: 2.4028 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.3121 loss: 4.3121 2022/08/13 09:56:46 - mmengine - INFO - Epoch(train) [6][2900/3757] lr: 2.5254e-02 eta: 4 days, 8:40:48 time: 0.3928 data_time: 0.0123 memory: 13431 grad_norm: 2.3571 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.1986 loss: 4.1986 2022/08/13 09:57:26 - mmengine - INFO - Epoch(train) [6][3000/3757] lr: 2.5325e-02 eta: 4 days, 8:40:02 time: 0.3934 data_time: 0.0133 memory: 13431 grad_norm: 2.5087 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 4.1057 loss: 4.1057 2022/08/13 09:58:06 - mmengine - INFO - Epoch(train) [6][3100/3757] lr: 2.5395e-02 eta: 4 days, 8:39:30 time: 0.4023 data_time: 0.0144 memory: 13431 grad_norm: 2.4190 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 4.3127 loss: 4.3127 2022/08/13 09:58:46 - mmengine - INFO - Epoch(train) [6][3200/3757] lr: 2.5465e-02 eta: 4 days, 8:38:35 time: 0.4074 data_time: 0.0142 memory: 13431 grad_norm: 2.4337 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.0887 loss: 4.0887 2022/08/13 09:58:52 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 09:59:26 - mmengine - INFO - Epoch(train) [6][3300/3757] lr: 2.5536e-02 eta: 4 days, 8:37:39 time: 0.3988 data_time: 0.0139 memory: 13431 grad_norm: 2.4599 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.1478 loss: 4.1478 2022/08/13 10:00:06 - mmengine - INFO - Epoch(train) [6][3400/3757] lr: 2.5606e-02 eta: 4 days, 8:36:58 time: 0.4068 data_time: 0.0130 memory: 13431 grad_norm: 2.4324 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.1066 loss: 4.1066 2022/08/13 10:00:46 - mmengine - INFO - Epoch(train) [6][3500/3757] lr: 2.5677e-02 eta: 4 days, 8:36:09 time: 0.3943 data_time: 0.0129 memory: 13431 grad_norm: 2.4565 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.2385 loss: 4.2385 2022/08/13 10:01:26 - mmengine - INFO - Epoch(train) [6][3600/3757] lr: 2.5747e-02 eta: 4 days, 8:35:15 time: 0.3946 data_time: 0.0125 memory: 13431 grad_norm: 2.3691 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.1549 loss: 4.1549 2022/08/13 10:02:05 - mmengine - INFO - Epoch(train) [6][3700/3757] lr: 2.5817e-02 eta: 4 days, 8:34:17 time: 0.3942 data_time: 0.0129 memory: 13431 grad_norm: 2.4091 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.2296 loss: 4.2296 2022/08/13 10:02:28 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 10:02:28 - mmengine - INFO - Epoch(train) [6][3757/3757] lr: 2.5857e-02 eta: 4 days, 8:33:55 time: 0.3801 data_time: 0.0133 memory: 13431 grad_norm: 2.3762 top1_acc: 0.1429 top5_acc: 0.2857 loss_cls: 3.8857 loss: 3.8857 2022/08/13 10:03:09 - mmengine - INFO - Epoch(train) [7][100/3757] lr: 2.5917e-02 eta: 4 days, 8:29:32 time: 0.3931 data_time: 0.0127 memory: 13431 grad_norm: 2.4206 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 4.4587 loss: 4.4587 2022/08/13 10:03:49 - mmengine - INFO - Epoch(train) [7][200/3757] lr: 2.5987e-02 eta: 4 days, 8:28:42 time: 0.3923 data_time: 0.0124 memory: 13431 grad_norm: 2.4812 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 4.0612 loss: 4.0612 2022/08/13 10:04:29 - mmengine - INFO - Epoch(train) [7][300/3757] lr: 2.6058e-02 eta: 4 days, 8:28:01 time: 0.3904 data_time: 0.0137 memory: 13431 grad_norm: 2.4491 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 4.3999 loss: 4.3999 2022/08/13 10:05:10 - mmengine - INFO - Epoch(train) [7][400/3757] lr: 2.6128e-02 eta: 4 days, 8:27:40 time: 0.3931 data_time: 0.0134 memory: 13431 grad_norm: 2.4155 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.1884 loss: 4.1884 2022/08/13 10:05:33 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 10:05:50 - mmengine - INFO - Epoch(train) [7][500/3757] lr: 2.6199e-02 eta: 4 days, 8:26:55 time: 0.3934 data_time: 0.0134 memory: 13431 grad_norm: 2.3964 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.1526 loss: 4.1526 2022/08/13 10:06:30 - mmengine - INFO - Epoch(train) [7][600/3757] lr: 2.6269e-02 eta: 4 days, 8:26:12 time: 0.3940 data_time: 0.0132 memory: 13431 grad_norm: 2.4428 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.1776 loss: 4.1776 2022/08/13 10:07:09 - mmengine - INFO - Epoch(train) [7][700/3757] lr: 2.6339e-02 eta: 4 days, 8:25:20 time: 0.3913 data_time: 0.0136 memory: 13431 grad_norm: 2.4436 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 4.0179 loss: 4.0179 2022/08/13 10:07:50 - mmengine - INFO - Epoch(train) [7][800/3757] lr: 2.6410e-02 eta: 4 days, 8:24:49 time: 0.3917 data_time: 0.0140 memory: 13431 grad_norm: 2.5004 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.0264 loss: 4.0264 2022/08/13 10:08:30 - mmengine - INFO - Epoch(train) [7][900/3757] lr: 2.6480e-02 eta: 4 days, 8:24:01 time: 0.3925 data_time: 0.0125 memory: 13431 grad_norm: 2.4824 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 4.2122 loss: 4.2122 2022/08/13 10:09:09 - mmengine - INFO - Epoch(train) [7][1000/3757] lr: 2.6550e-02 eta: 4 days, 8:23:14 time: 0.3933 data_time: 0.0126 memory: 13431 grad_norm: 2.4164 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.1937 loss: 4.1937 2022/08/13 10:09:50 - mmengine - INFO - Epoch(train) [7][1100/3757] lr: 2.6621e-02 eta: 4 days, 8:22:50 time: 0.3925 data_time: 0.0160 memory: 13431 grad_norm: 2.4465 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.1076 loss: 4.1076 2022/08/13 10:10:30 - mmengine - INFO - Epoch(train) [7][1200/3757] lr: 2.6691e-02 eta: 4 days, 8:22:06 time: 0.3913 data_time: 0.0125 memory: 13431 grad_norm: 2.3346 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.0796 loss: 4.0796 2022/08/13 10:11:10 - mmengine - INFO - Epoch(train) [7][1300/3757] lr: 2.6761e-02 eta: 4 days, 8:21:37 time: 0.3920 data_time: 0.0128 memory: 13431 grad_norm: 2.4483 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.3460 loss: 4.3460 2022/08/13 10:11:50 - mmengine - INFO - Epoch(train) [7][1400/3757] lr: 2.6832e-02 eta: 4 days, 8:20:58 time: 0.3926 data_time: 0.0133 memory: 13431 grad_norm: 2.4628 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.3053 loss: 4.3053 2022/08/13 10:12:14 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 10:12:30 - mmengine - INFO - Epoch(train) [7][1500/3757] lr: 2.6902e-02 eta: 4 days, 8:20:19 time: 0.3931 data_time: 0.0130 memory: 13431 grad_norm: 2.5044 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.8606 loss: 3.8606 2022/08/13 10:13:10 - mmengine - INFO - Epoch(train) [7][1600/3757] lr: 2.6972e-02 eta: 4 days, 8:19:24 time: 0.3939 data_time: 0.0143 memory: 13431 grad_norm: 2.3996 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 4.3265 loss: 4.3265 2022/08/13 10:13:50 - mmengine - INFO - Epoch(train) [7][1700/3757] lr: 2.7043e-02 eta: 4 days, 8:18:30 time: 0.3933 data_time: 0.0132 memory: 13431 grad_norm: 2.4377 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.3723 loss: 4.3723 2022/08/13 10:14:30 - mmengine - INFO - Epoch(train) [7][1800/3757] lr: 2.7113e-02 eta: 4 days, 8:17:56 time: 0.3919 data_time: 0.0129 memory: 13431 grad_norm: 2.4165 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.1015 loss: 4.1015 2022/08/13 10:15:10 - mmengine - INFO - Epoch(train) [7][1900/3757] lr: 2.7184e-02 eta: 4 days, 8:17:13 time: 0.3916 data_time: 0.0132 memory: 13431 grad_norm: 2.3870 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 4.0524 loss: 4.0524 2022/08/13 10:15:50 - mmengine - INFO - Epoch(train) [7][2000/3757] lr: 2.7254e-02 eta: 4 days, 8:16:29 time: 0.3932 data_time: 0.0129 memory: 13431 grad_norm: 2.4308 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.9350 loss: 3.9350 2022/08/13 10:16:30 - mmengine - INFO - Epoch(train) [7][2100/3757] lr: 2.7324e-02 eta: 4 days, 8:15:39 time: 0.3924 data_time: 0.0131 memory: 13431 grad_norm: 2.4529 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.8837 loss: 3.8837 2022/08/13 10:17:10 - mmengine - INFO - Epoch(train) [7][2200/3757] lr: 2.7395e-02 eta: 4 days, 8:14:58 time: 0.3928 data_time: 0.0137 memory: 13431 grad_norm: 2.4968 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.9642 loss: 3.9642 2022/08/13 10:17:50 - mmengine - INFO - Epoch(train) [7][2300/3757] lr: 2.7465e-02 eta: 4 days, 8:14:25 time: 0.3931 data_time: 0.0133 memory: 13431 grad_norm: 2.4934 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.0512 loss: 4.0512 2022/08/13 10:18:30 - mmengine - INFO - Epoch(train) [7][2400/3757] lr: 2.7535e-02 eta: 4 days, 8:13:45 time: 0.3925 data_time: 0.0131 memory: 13431 grad_norm: 2.5073 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.3622 loss: 4.3622 2022/08/13 10:18:54 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 10:19:10 - mmengine - INFO - Epoch(train) [7][2500/3757] lr: 2.7606e-02 eta: 4 days, 8:13:10 time: 0.3929 data_time: 0.0139 memory: 13431 grad_norm: 2.4711 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 4.1095 loss: 4.1095 2022/08/13 10:19:50 - mmengine - INFO - Epoch(train) [7][2600/3757] lr: 2.7676e-02 eta: 4 days, 8:12:18 time: 0.3920 data_time: 0.0134 memory: 13431 grad_norm: 2.4440 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.8535 loss: 3.8535 2022/08/13 10:20:30 - mmengine - INFO - Epoch(train) [7][2700/3757] lr: 2.7746e-02 eta: 4 days, 8:11:29 time: 0.3930 data_time: 0.0129 memory: 13431 grad_norm: 2.4378 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.0944 loss: 4.0944 2022/08/13 10:21:10 - mmengine - INFO - Epoch(train) [7][2800/3757] lr: 2.7817e-02 eta: 4 days, 8:10:35 time: 0.3921 data_time: 0.0136 memory: 13431 grad_norm: 2.4414 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.0633 loss: 4.0633 2022/08/13 10:21:50 - mmengine - INFO - Epoch(train) [7][2900/3757] lr: 2.7887e-02 eta: 4 days, 8:10:01 time: 0.3960 data_time: 0.0140 memory: 13431 grad_norm: 2.4752 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.9813 loss: 3.9813 2022/08/13 10:22:30 - mmengine - INFO - Epoch(train) [7][3000/3757] lr: 2.7958e-02 eta: 4 days, 8:09:24 time: 0.3928 data_time: 0.0144 memory: 13431 grad_norm: 2.4395 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.2638 loss: 4.2638 2022/08/13 10:23:10 - mmengine - INFO - Epoch(train) [7][3100/3757] lr: 2.8028e-02 eta: 4 days, 8:08:50 time: 0.3944 data_time: 0.0134 memory: 13431 grad_norm: 2.5371 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.0908 loss: 4.0908 2022/08/13 10:23:51 - mmengine - INFO - Epoch(train) [7][3200/3757] lr: 2.8098e-02 eta: 4 days, 8:08:38 time: 0.3926 data_time: 0.0133 memory: 13431 grad_norm: 2.4368 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 4.0881 loss: 4.0881 2022/08/13 10:24:31 - mmengine - INFO - Epoch(train) [7][3300/3757] lr: 2.8169e-02 eta: 4 days, 8:07:56 time: 0.3941 data_time: 0.0137 memory: 13431 grad_norm: 2.4649 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.0932 loss: 4.0932 2022/08/13 10:25:11 - mmengine - INFO - Epoch(train) [7][3400/3757] lr: 2.8239e-02 eta: 4 days, 8:07:12 time: 0.3926 data_time: 0.0127 memory: 13431 grad_norm: 2.4764 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.0398 loss: 4.0398 2022/08/13 10:25:35 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 10:25:51 - mmengine - INFO - Epoch(train) [7][3500/3757] lr: 2.8309e-02 eta: 4 days, 8:06:38 time: 0.3930 data_time: 0.0136 memory: 13431 grad_norm: 2.5392 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.8051 loss: 3.8051 2022/08/13 10:26:31 - mmengine - INFO - Epoch(train) [7][3600/3757] lr: 2.8380e-02 eta: 4 days, 8:05:52 time: 0.3952 data_time: 0.0136 memory: 13431 grad_norm: 2.4755 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.1854 loss: 4.1854 2022/08/13 10:27:11 - mmengine - INFO - Epoch(train) [7][3700/3757] lr: 2.8450e-02 eta: 4 days, 8:05:09 time: 0.3930 data_time: 0.0135 memory: 13431 grad_norm: 2.4493 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.1840 loss: 4.1840 2022/08/13 10:27:34 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 10:27:34 - mmengine - INFO - Epoch(train) [7][3757/3757] lr: 2.8490e-02 eta: 4 days, 8:04:54 time: 0.3829 data_time: 0.0131 memory: 13431 grad_norm: 2.4987 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 3.8440 loss: 3.8440 2022/08/13 10:28:16 - mmengine - INFO - Epoch(train) [8][100/3757] lr: 2.8547e-02 eta: 4 days, 8:01:38 time: 0.4121 data_time: 0.0147 memory: 13431 grad_norm: 2.4684 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 4.0814 loss: 4.0814 2022/08/13 10:28:56 - mmengine - INFO - Epoch(train) [8][200/3757] lr: 2.8617e-02 eta: 4 days, 8:00:51 time: 0.4021 data_time: 0.0147 memory: 13431 grad_norm: 2.5172 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.9536 loss: 3.9536 2022/08/13 10:29:36 - mmengine - INFO - Epoch(train) [8][300/3757] lr: 2.8687e-02 eta: 4 days, 8:00:04 time: 0.4034 data_time: 0.0139 memory: 13431 grad_norm: 2.5071 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.0501 loss: 4.0501 2022/08/13 10:30:16 - mmengine - INFO - Epoch(train) [8][400/3757] lr: 2.8758e-02 eta: 4 days, 7:59:22 time: 0.4078 data_time: 0.0155 memory: 13431 grad_norm: 2.5090 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.1645 loss: 4.1645 2022/08/13 10:30:56 - mmengine - INFO - Epoch(train) [8][500/3757] lr: 2.8828e-02 eta: 4 days, 7:58:38 time: 0.4044 data_time: 0.0151 memory: 13431 grad_norm: 2.5534 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.9635 loss: 3.9635 2022/08/13 10:31:36 - mmengine - INFO - Epoch(train) [8][600/3757] lr: 2.8898e-02 eta: 4 days, 7:57:58 time: 0.4154 data_time: 0.0153 memory: 13431 grad_norm: 2.4726 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 4.4353 loss: 4.4353 2022/08/13 10:32:16 - mmengine - INFO - Epoch(train) [8][700/3757] lr: 2.8969e-02 eta: 4 days, 7:57:19 time: 0.4067 data_time: 0.0146 memory: 13431 grad_norm: 2.4982 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.9964 loss: 3.9964 2022/08/13 10:32:17 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 10:32:57 - mmengine - INFO - Epoch(train) [8][800/3757] lr: 2.9039e-02 eta: 4 days, 7:56:52 time: 0.3968 data_time: 0.0145 memory: 13431 grad_norm: 2.4711 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.2801 loss: 4.2801 2022/08/13 10:33:37 - mmengine - INFO - Epoch(train) [8][900/3757] lr: 2.9109e-02 eta: 4 days, 7:56:20 time: 0.3926 data_time: 0.0126 memory: 13431 grad_norm: 2.5187 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 4.0303 loss: 4.0303 2022/08/13 10:34:17 - mmengine - INFO - Epoch(train) [8][1000/3757] lr: 2.9180e-02 eta: 4 days, 7:55:38 time: 0.3930 data_time: 0.0143 memory: 13431 grad_norm: 2.4635 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.8139 loss: 3.8139 2022/08/13 10:34:59 - mmengine - INFO - Epoch(train) [8][1100/3757] lr: 2.9250e-02 eta: 4 days, 7:56:06 time: 0.3958 data_time: 0.0138 memory: 13431 grad_norm: 2.5413 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.9434 loss: 3.9434 2022/08/13 10:35:39 - mmengine - INFO - Epoch(train) [8][1200/3757] lr: 2.9320e-02 eta: 4 days, 7:55:21 time: 0.3946 data_time: 0.0126 memory: 13431 grad_norm: 2.5326 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.8161 loss: 3.8161 2022/08/13 10:36:19 - mmengine - INFO - Epoch(train) [8][1300/3757] lr: 2.9391e-02 eta: 4 days, 7:54:55 time: 0.4115 data_time: 0.0151 memory: 13431 grad_norm: 2.4993 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.6426 loss: 3.6426 2022/08/13 10:37:00 - mmengine - INFO - Epoch(train) [8][1400/3757] lr: 2.9461e-02 eta: 4 days, 7:54:31 time: 0.4189 data_time: 0.0155 memory: 13431 grad_norm: 2.5455 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.1906 loss: 4.1906 2022/08/13 10:37:41 - mmengine - INFO - Epoch(train) [8][1500/3757] lr: 2.9531e-02 eta: 4 days, 7:54:17 time: 0.4324 data_time: 0.0158 memory: 13431 grad_norm: 2.4492 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.9507 loss: 3.9507 2022/08/13 10:38:21 - mmengine - INFO - Epoch(train) [8][1600/3757] lr: 2.9601e-02 eta: 4 days, 7:53:35 time: 0.4116 data_time: 0.0158 memory: 13431 grad_norm: 2.4399 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.8864 loss: 3.8864 2022/08/13 10:39:01 - mmengine - INFO - Epoch(train) [8][1700/3757] lr: 2.9672e-02 eta: 4 days, 7:53:07 time: 0.4300 data_time: 0.0148 memory: 13431 grad_norm: 2.5029 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.8552 loss: 3.8552 2022/08/13 10:39:02 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 10:39:43 - mmengine - INFO - Epoch(train) [8][1800/3757] lr: 2.9742e-02 eta: 4 days, 7:53:33 time: 0.3936 data_time: 0.0132 memory: 13431 grad_norm: 2.5545 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.0960 loss: 4.0960 2022/08/13 10:40:23 - mmengine - INFO - Epoch(train) [8][1900/3757] lr: 2.9812e-02 eta: 4 days, 7:52:43 time: 0.3938 data_time: 0.0135 memory: 13431 grad_norm: 2.5290 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.8303 loss: 3.8303 2022/08/13 10:41:03 - mmengine - INFO - Epoch(train) [8][2000/3757] lr: 2.9883e-02 eta: 4 days, 7:51:59 time: 0.3913 data_time: 0.0134 memory: 13431 grad_norm: 2.5387 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.9302 loss: 3.9302 2022/08/13 10:41:43 - mmengine - INFO - Epoch(train) [8][2100/3757] lr: 2.9953e-02 eta: 4 days, 7:51:24 time: 0.3936 data_time: 0.0138 memory: 13431 grad_norm: 2.4960 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.5806 loss: 3.5806 2022/08/13 10:42:23 - mmengine - INFO - Epoch(train) [8][2200/3757] lr: 3.0023e-02 eta: 4 days, 7:50:51 time: 0.3997 data_time: 0.0141 memory: 13431 grad_norm: 2.5079 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.0523 loss: 4.0523 2022/08/13 10:43:03 - mmengine - INFO - Epoch(train) [8][2300/3757] lr: 3.0094e-02 eta: 4 days, 7:50:07 time: 0.3937 data_time: 0.0133 memory: 13431 grad_norm: 2.5107 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.6870 loss: 3.6870 2022/08/13 10:43:43 - mmengine - INFO - Epoch(train) [8][2400/3757] lr: 3.0164e-02 eta: 4 days, 7:49:30 time: 0.3945 data_time: 0.0136 memory: 13431 grad_norm: 2.4456 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.0879 loss: 4.0879 2022/08/13 10:44:24 - mmengine - INFO - Epoch(train) [8][2500/3757] lr: 3.0234e-02 eta: 4 days, 7:49:03 time: 0.3945 data_time: 0.0126 memory: 13431 grad_norm: 2.4803 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.7063 loss: 3.7063 2022/08/13 10:45:04 - mmengine - INFO - Epoch(train) [8][2600/3757] lr: 3.0305e-02 eta: 4 days, 7:48:11 time: 0.3934 data_time: 0.0130 memory: 13431 grad_norm: 2.5315 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.6507 loss: 3.6507 2022/08/13 10:45:43 - mmengine - INFO - Epoch(train) [8][2700/3757] lr: 3.0375e-02 eta: 4 days, 7:47:20 time: 0.3942 data_time: 0.0128 memory: 13431 grad_norm: 2.5116 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.0329 loss: 4.0329 2022/08/13 10:45:44 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 10:46:23 - mmengine - INFO - Epoch(train) [8][2800/3757] lr: 3.0445e-02 eta: 4 days, 7:46:34 time: 0.3959 data_time: 0.0126 memory: 13431 grad_norm: 2.5147 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.8546 loss: 3.8546 2022/08/13 10:47:04 - mmengine - INFO - Epoch(train) [8][2900/3757] lr: 3.0516e-02 eta: 4 days, 7:46:06 time: 0.4000 data_time: 0.0137 memory: 13431 grad_norm: 2.5255 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.8554 loss: 3.8554 2022/08/13 10:47:44 - mmengine - INFO - Epoch(train) [8][3000/3757] lr: 3.0586e-02 eta: 4 days, 7:45:24 time: 0.3920 data_time: 0.0133 memory: 13431 grad_norm: 2.4759 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.9374 loss: 3.9374 2022/08/13 10:48:23 - mmengine - INFO - Epoch(train) [8][3100/3757] lr: 3.0656e-02 eta: 4 days, 7:44:33 time: 0.3931 data_time: 0.0133 memory: 13431 grad_norm: 2.5392 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.9512 loss: 3.9512 2022/08/13 10:49:04 - mmengine - INFO - Epoch(train) [8][3200/3757] lr: 3.0727e-02 eta: 4 days, 7:44:09 time: 0.3943 data_time: 0.0139 memory: 13431 grad_norm: 2.5739 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.8388 loss: 3.8388 2022/08/13 10:49:44 - mmengine - INFO - Epoch(train) [8][3300/3757] lr: 3.0797e-02 eta: 4 days, 7:43:15 time: 0.3933 data_time: 0.0129 memory: 13431 grad_norm: 2.5120 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.8173 loss: 3.8173 2022/08/13 10:50:23 - mmengine - INFO - Epoch(train) [8][3400/3757] lr: 3.0867e-02 eta: 4 days, 7:42:21 time: 0.3937 data_time: 0.0141 memory: 13431 grad_norm: 2.5419 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.8975 loss: 3.8975 2022/08/13 10:51:04 - mmengine - INFO - Epoch(train) [8][3500/3757] lr: 3.0938e-02 eta: 4 days, 7:41:51 time: 0.3950 data_time: 0.0131 memory: 13431 grad_norm: 2.5557 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.7858 loss: 3.7858 2022/08/13 10:51:44 - mmengine - INFO - Epoch(train) [8][3600/3757] lr: 3.1008e-02 eta: 4 days, 7:41:13 time: 0.3995 data_time: 0.0130 memory: 13431 grad_norm: 2.4986 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.7859 loss: 3.7859 2022/08/13 10:52:23 - mmengine - INFO - Epoch(train) [8][3700/3757] lr: 3.1078e-02 eta: 4 days, 7:40:18 time: 0.3948 data_time: 0.0138 memory: 13431 grad_norm: 2.5659 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.7730 loss: 3.7730 2022/08/13 10:52:24 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 10:52:46 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 10:52:46 - mmengine - INFO - Epoch(train) [8][3757/3757] lr: 3.1118e-02 eta: 4 days, 7:39:57 time: 0.3827 data_time: 0.0133 memory: 13431 grad_norm: 2.5170 top1_acc: 0.0000 top5_acc: 0.5714 loss_cls: 3.7723 loss: 3.7723 2022/08/13 10:52:46 - mmengine - INFO - Saving checkpoint at 8 epochs 2022/08/13 10:53:31 - mmengine - INFO - Epoch(train) [9][100/3757] lr: 3.1171e-02 eta: 4 days, 7:35:49 time: 0.3928 data_time: 0.0134 memory: 13431 grad_norm: 2.5064 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.8905 loss: 3.8905 2022/08/13 10:54:11 - mmengine - INFO - Epoch(train) [9][200/3757] lr: 3.1241e-02 eta: 4 days, 7:35:02 time: 0.3972 data_time: 0.0136 memory: 13431 grad_norm: 2.5313 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.9799 loss: 3.9799 2022/08/13 10:54:50 - mmengine - INFO - Epoch(train) [9][300/3757] lr: 3.1312e-02 eta: 4 days, 7:34:09 time: 0.3951 data_time: 0.0145 memory: 13431 grad_norm: 2.5171 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.6819 loss: 3.6819 2022/08/13 10:55:30 - mmengine - INFO - Epoch(train) [9][400/3757] lr: 3.1382e-02 eta: 4 days, 7:33:28 time: 0.4044 data_time: 0.0141 memory: 13431 grad_norm: 2.4836 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5770 loss: 3.5770 2022/08/13 10:56:11 - mmengine - INFO - Epoch(train) [9][500/3757] lr: 3.1452e-02 eta: 4 days, 7:32:54 time: 0.4057 data_time: 0.0135 memory: 13431 grad_norm: 2.5361 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.6086 loss: 3.6086 2022/08/13 10:56:51 - mmengine - INFO - Epoch(train) [9][600/3757] lr: 3.1523e-02 eta: 4 days, 7:32:13 time: 0.3927 data_time: 0.0130 memory: 13431 grad_norm: 2.5659 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7570 loss: 3.7570 2022/08/13 10:57:30 - mmengine - INFO - Epoch(train) [9][700/3757] lr: 3.1593e-02 eta: 4 days, 7:31:22 time: 0.3930 data_time: 0.0137 memory: 13431 grad_norm: 2.4595 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.9505 loss: 3.9505 2022/08/13 10:58:10 - mmengine - INFO - Epoch(train) [9][800/3757] lr: 3.1663e-02 eta: 4 days, 7:30:29 time: 0.3955 data_time: 0.0147 memory: 13431 grad_norm: 2.5226 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.7137 loss: 3.7137 2022/08/13 10:58:50 - mmengine - INFO - Epoch(train) [9][900/3757] lr: 3.1733e-02 eta: 4 days, 7:29:48 time: 0.3932 data_time: 0.0127 memory: 13431 grad_norm: 2.5602 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.7518 loss: 3.7518 2022/08/13 10:59:08 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 10:59:30 - mmengine - INFO - Epoch(train) [9][1000/3757] lr: 3.1804e-02 eta: 4 days, 7:29:02 time: 0.3938 data_time: 0.0129 memory: 13431 grad_norm: 2.5237 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.9137 loss: 3.9137 2022/08/13 11:00:09 - mmengine - INFO - Epoch(train) [9][1100/3757] lr: 3.1874e-02 eta: 4 days, 7:28:10 time: 0.3974 data_time: 0.0155 memory: 13431 grad_norm: 2.5341 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.6889 loss: 3.6889 2022/08/13 11:00:50 - mmengine - INFO - Epoch(train) [9][1200/3757] lr: 3.1944e-02 eta: 4 days, 7:27:47 time: 0.4378 data_time: 0.0150 memory: 13431 grad_norm: 2.5453 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.7605 loss: 3.7605 2022/08/13 11:01:30 - mmengine - INFO - Epoch(train) [9][1300/3757] lr: 3.2015e-02 eta: 4 days, 7:27:14 time: 0.3990 data_time: 0.0148 memory: 13431 grad_norm: 2.4886 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.9123 loss: 3.9123 2022/08/13 11:02:10 - mmengine - INFO - Epoch(train) [9][1400/3757] lr: 3.2085e-02 eta: 4 days, 7:26:26 time: 0.4007 data_time: 0.0143 memory: 13431 grad_norm: 2.5374 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.6299 loss: 3.6299 2022/08/13 11:02:51 - mmengine - INFO - Epoch(train) [9][1500/3757] lr: 3.2155e-02 eta: 4 days, 7:25:59 time: 0.4167 data_time: 0.0182 memory: 13431 grad_norm: 2.5427 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.0609 loss: 4.0609 2022/08/13 11:03:31 - mmengine - INFO - Epoch(train) [9][1600/3757] lr: 3.2225e-02 eta: 4 days, 7:25:20 time: 0.3954 data_time: 0.0137 memory: 13431 grad_norm: 2.5690 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.8673 loss: 3.8673 2022/08/13 11:04:12 - mmengine - INFO - Epoch(train) [9][1700/3757] lr: 3.2296e-02 eta: 4 days, 7:25:22 time: 0.4671 data_time: 0.0199 memory: 13431 grad_norm: 2.5777 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.6383 loss: 3.6383 2022/08/13 11:04:53 - mmengine - INFO - Epoch(train) [9][1800/3757] lr: 3.2366e-02 eta: 4 days, 7:24:54 time: 0.4268 data_time: 0.0170 memory: 13431 grad_norm: 2.4995 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.8645 loss: 3.8645 2022/08/13 11:05:33 - mmengine - INFO - Epoch(train) [9][1900/3757] lr: 3.2436e-02 eta: 4 days, 7:24:13 time: 0.3932 data_time: 0.0125 memory: 13431 grad_norm: 2.5447 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.6134 loss: 3.6134 2022/08/13 11:05:50 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 11:06:13 - mmengine - INFO - Epoch(train) [9][2000/3757] lr: 3.2507e-02 eta: 4 days, 7:23:54 time: 0.3930 data_time: 0.0132 memory: 13431 grad_norm: 2.5657 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.6421 loss: 3.6421 2022/08/13 11:06:54 - mmengine - INFO - Epoch(train) [9][2100/3757] lr: 3.2577e-02 eta: 4 days, 7:23:18 time: 0.4011 data_time: 0.0135 memory: 13431 grad_norm: 2.5749 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7507 loss: 3.7507 2022/08/13 11:07:34 - mmengine - INFO - Epoch(train) [9][2200/3757] lr: 3.2647e-02 eta: 4 days, 7:22:35 time: 0.3965 data_time: 0.0133 memory: 13431 grad_norm: 2.6651 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.7329 loss: 3.7329 2022/08/13 11:08:14 - mmengine - INFO - Epoch(train) [9][2300/3757] lr: 3.2717e-02 eta: 4 days, 7:22:02 time: 0.3964 data_time: 0.0133 memory: 13431 grad_norm: 2.5516 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.8184 loss: 3.8184 2022/08/13 11:08:54 - mmengine - INFO - Epoch(train) [9][2400/3757] lr: 3.2788e-02 eta: 4 days, 7:21:22 time: 0.3970 data_time: 0.0141 memory: 13431 grad_norm: 2.5703 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.7541 loss: 3.7541 2022/08/13 11:09:34 - mmengine - INFO - Epoch(train) [9][2500/3757] lr: 3.2858e-02 eta: 4 days, 7:20:47 time: 0.4058 data_time: 0.0151 memory: 13431 grad_norm: 2.5408 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.7646 loss: 3.7646 2022/08/13 11:10:14 - mmengine - INFO - Epoch(train) [9][2600/3757] lr: 3.2928e-02 eta: 4 days, 7:20:09 time: 0.3944 data_time: 0.0131 memory: 13431 grad_norm: 2.5814 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.3789 loss: 3.3789 2022/08/13 11:10:54 - mmengine - INFO - Epoch(train) [9][2700/3757] lr: 3.2999e-02 eta: 4 days, 7:19:31 time: 0.3943 data_time: 0.0131 memory: 13431 grad_norm: 2.5916 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.7093 loss: 3.7093 2022/08/13 11:11:34 - mmengine - INFO - Epoch(train) [9][2800/3757] lr: 3.3069e-02 eta: 4 days, 7:18:46 time: 0.3951 data_time: 0.0142 memory: 13431 grad_norm: 2.5029 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.6297 loss: 3.6297 2022/08/13 11:12:14 - mmengine - INFO - Epoch(train) [9][2900/3757] lr: 3.3139e-02 eta: 4 days, 7:18:01 time: 0.3929 data_time: 0.0140 memory: 13431 grad_norm: 2.6778 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.6362 loss: 3.6362 2022/08/13 11:12:32 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 11:12:54 - mmengine - INFO - Epoch(train) [9][3000/3757] lr: 3.3210e-02 eta: 4 days, 7:17:28 time: 0.3919 data_time: 0.0133 memory: 13431 grad_norm: 2.6170 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.7249 loss: 3.7249 2022/08/13 11:13:34 - mmengine - INFO - Epoch(train) [9][3100/3757] lr: 3.3280e-02 eta: 4 days, 7:16:45 time: 0.3928 data_time: 0.0142 memory: 13431 grad_norm: 2.5255 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.9064 loss: 3.9064 2022/08/13 11:14:14 - mmengine - INFO - Epoch(train) [9][3200/3757] lr: 3.3350e-02 eta: 4 days, 7:16:07 time: 0.3951 data_time: 0.0141 memory: 13431 grad_norm: 2.5175 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.7356 loss: 3.7356 2022/08/13 11:14:55 - mmengine - INFO - Epoch(train) [9][3300/3757] lr: 3.3420e-02 eta: 4 days, 7:15:47 time: 0.3934 data_time: 0.0137 memory: 13431 grad_norm: 2.4933 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.9129 loss: 3.9129 2022/08/13 11:15:35 - mmengine - INFO - Epoch(train) [9][3400/3757] lr: 3.3491e-02 eta: 4 days, 7:15:05 time: 0.3944 data_time: 0.0128 memory: 13431 grad_norm: 2.5874 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.6431 loss: 3.6431 2022/08/13 11:16:16 - mmengine - INFO - Epoch(train) [9][3500/3757] lr: 3.3561e-02 eta: 4 days, 7:14:35 time: 0.3936 data_time: 0.0138 memory: 13431 grad_norm: 2.5973 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.4701 loss: 3.4701 2022/08/13 11:16:56 - mmengine - INFO - Epoch(train) [9][3600/3757] lr: 3.3631e-02 eta: 4 days, 7:13:51 time: 0.3956 data_time: 0.0133 memory: 13431 grad_norm: 2.6115 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.7974 loss: 3.7974 2022/08/13 11:17:36 - mmengine - INFO - Epoch(train) [9][3700/3757] lr: 3.3702e-02 eta: 4 days, 7:13:21 time: 0.3945 data_time: 0.0129 memory: 13431 grad_norm: 2.6721 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.9429 loss: 3.9429 2022/08/13 11:17:59 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 11:17:59 - mmengine - INFO - Epoch(train) [9][3757/3757] lr: 3.3742e-02 eta: 4 days, 7:13:05 time: 0.4002 data_time: 0.0142 memory: 13431 grad_norm: 2.5784 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 3.5757 loss: 3.5757 2022/08/13 11:18:41 - mmengine - INFO - Epoch(train) [10][100/3757] lr: 3.3790e-02 eta: 4 days, 7:10:15 time: 0.4054 data_time: 0.0147 memory: 13431 grad_norm: 2.5763 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.6826 loss: 3.6826 2022/08/13 11:19:16 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 11:19:21 - mmengine - INFO - Epoch(train) [10][200/3757] lr: 3.3860e-02 eta: 4 days, 7:09:30 time: 0.4118 data_time: 0.0145 memory: 13431 grad_norm: 2.5355 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.0159 loss: 4.0159 2022/08/13 11:20:01 - mmengine - INFO - Epoch(train) [10][300/3757] lr: 3.3931e-02 eta: 4 days, 7:08:52 time: 0.4037 data_time: 0.0151 memory: 13431 grad_norm: 2.6002 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.7692 loss: 3.7692 2022/08/13 11:20:41 - mmengine - INFO - Epoch(train) [10][400/3757] lr: 3.4001e-02 eta: 4 days, 7:08:12 time: 0.4043 data_time: 0.0144 memory: 13431 grad_norm: 2.6170 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.8182 loss: 3.8182 2022/08/13 11:21:21 - mmengine - INFO - Epoch(train) [10][500/3757] lr: 3.4071e-02 eta: 4 days, 7:07:28 time: 0.4111 data_time: 0.0152 memory: 13431 grad_norm: 2.5617 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.7590 loss: 3.7590 2022/08/13 11:22:01 - mmengine - INFO - Epoch(train) [10][600/3757] lr: 3.4141e-02 eta: 4 days, 7:06:42 time: 0.4090 data_time: 0.0150 memory: 13431 grad_norm: 2.5759 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.9011 loss: 3.9011 2022/08/13 11:22:41 - mmengine - INFO - Epoch(train) [10][700/3757] lr: 3.4212e-02 eta: 4 days, 7:06:09 time: 0.4258 data_time: 0.0150 memory: 13431 grad_norm: 2.5790 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.8040 loss: 3.8040 2022/08/13 11:23:23 - mmengine - INFO - Epoch(train) [10][800/3757] lr: 3.4282e-02 eta: 4 days, 7:06:03 time: 0.4222 data_time: 0.0146 memory: 13431 grad_norm: 2.6236 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.7240 loss: 3.7240 2022/08/13 11:24:05 - mmengine - INFO - Epoch(train) [10][900/3757] lr: 3.4352e-02 eta: 4 days, 7:06:36 time: 0.4150 data_time: 0.0133 memory: 13431 grad_norm: 2.6495 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.6995 loss: 3.6995 2022/08/13 11:24:46 - mmengine - INFO - Epoch(train) [10][1000/3757] lr: 3.4422e-02 eta: 4 days, 7:06:15 time: 0.4076 data_time: 0.0162 memory: 13431 grad_norm: 2.6096 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.6707 loss: 3.6707 2022/08/13 11:25:27 - mmengine - INFO - Epoch(train) [10][1100/3757] lr: 3.4493e-02 eta: 4 days, 7:06:00 time: 0.3943 data_time: 0.0132 memory: 13431 grad_norm: 2.5803 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.7366 loss: 3.7366 2022/08/13 11:26:03 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 11:26:08 - mmengine - INFO - Epoch(train) [10][1200/3757] lr: 3.4563e-02 eta: 4 days, 7:05:39 time: 0.3921 data_time: 0.0131 memory: 13431 grad_norm: 2.6009 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.8353 loss: 3.8353 2022/08/13 11:26:48 - mmengine - INFO - Epoch(train) [10][1300/3757] lr: 3.4633e-02 eta: 4 days, 7:04:54 time: 0.3933 data_time: 0.0130 memory: 13431 grad_norm: 2.6694 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.6787 loss: 3.6787 2022/08/13 11:27:28 - mmengine - INFO - Epoch(train) [10][1400/3757] lr: 3.4703e-02 eta: 4 days, 7:04:27 time: 0.3934 data_time: 0.0131 memory: 13431 grad_norm: 2.6196 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.4943 loss: 3.4943 2022/08/13 11:28:09 - mmengine - INFO - Epoch(train) [10][1500/3757] lr: 3.4774e-02 eta: 4 days, 7:03:50 time: 0.3947 data_time: 0.0137 memory: 13431 grad_norm: 2.6009 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.6995 loss: 3.6995 2022/08/13 11:28:49 - mmengine - INFO - Epoch(train) [10][1600/3757] lr: 3.4844e-02 eta: 4 days, 7:03:12 time: 0.4005 data_time: 0.0138 memory: 13431 grad_norm: 2.6190 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.6879 loss: 3.6879 2022/08/13 11:29:29 - mmengine - INFO - Epoch(train) [10][1700/3757] lr: 3.4914e-02 eta: 4 days, 7:02:41 time: 0.3992 data_time: 0.0130 memory: 13431 grad_norm: 2.6110 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.7329 loss: 3.7329 2022/08/13 11:30:09 - mmengine - INFO - Epoch(train) [10][1800/3757] lr: 3.4984e-02 eta: 4 days, 7:01:51 time: 0.3960 data_time: 0.0130 memory: 13431 grad_norm: 2.6106 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.8365 loss: 3.8365 2022/08/13 11:30:49 - mmengine - INFO - Epoch(train) [10][1900/3757] lr: 3.5055e-02 eta: 4 days, 7:01:05 time: 0.4006 data_time: 0.0138 memory: 13431 grad_norm: 2.5785 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5491 loss: 3.5491 2022/08/13 11:31:29 - mmengine - INFO - Epoch(train) [10][2000/3757] lr: 3.5125e-02 eta: 4 days, 7:00:20 time: 0.3985 data_time: 0.0132 memory: 13431 grad_norm: 2.5158 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.6817 loss: 3.6817 2022/08/13 11:32:08 - mmengine - INFO - Epoch(train) [10][2100/3757] lr: 3.5195e-02 eta: 4 days, 6:59:29 time: 0.3930 data_time: 0.0131 memory: 13431 grad_norm: 2.5899 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.7598 loss: 3.7598 2022/08/13 11:32:43 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 11:32:48 - mmengine - INFO - Epoch(train) [10][2200/3757] lr: 3.5265e-02 eta: 4 days, 6:58:42 time: 0.3920 data_time: 0.0141 memory: 13431 grad_norm: 2.5881 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.5980 loss: 3.5980 2022/08/13 11:33:28 - mmengine - INFO - Epoch(train) [10][2300/3757] lr: 3.5336e-02 eta: 4 days, 6:58:01 time: 0.4056 data_time: 0.0137 memory: 13431 grad_norm: 2.6851 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.6299 loss: 3.6299 2022/08/13 11:34:08 - mmengine - INFO - Epoch(train) [10][2400/3757] lr: 3.5406e-02 eta: 4 days, 6:57:16 time: 0.3928 data_time: 0.0130 memory: 13431 grad_norm: 2.5424 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.6681 loss: 3.6681 2022/08/13 11:34:48 - mmengine - INFO - Epoch(train) [10][2500/3757] lr: 3.5476e-02 eta: 4 days, 6:56:31 time: 0.3938 data_time: 0.0143 memory: 13431 grad_norm: 2.6054 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.5706 loss: 3.5706 2022/08/13 11:35:27 - mmengine - INFO - Epoch(train) [10][2600/3757] lr: 3.5546e-02 eta: 4 days, 6:55:43 time: 0.3919 data_time: 0.0132 memory: 13431 grad_norm: 2.6325 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.6685 loss: 3.6685 2022/08/13 11:36:07 - mmengine - INFO - Epoch(train) [10][2700/3757] lr: 3.5617e-02 eta: 4 days, 6:54:45 time: 0.3930 data_time: 0.0143 memory: 13431 grad_norm: 2.5752 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3927 loss: 3.3927 2022/08/13 11:36:46 - mmengine - INFO - Epoch(train) [10][2800/3757] lr: 3.5687e-02 eta: 4 days, 6:53:52 time: 0.3938 data_time: 0.0139 memory: 13431 grad_norm: 2.6401 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5735 loss: 3.5735 2022/08/13 11:37:26 - mmengine - INFO - Epoch(train) [10][2900/3757] lr: 3.5757e-02 eta: 4 days, 6:53:06 time: 0.4024 data_time: 0.0153 memory: 13431 grad_norm: 2.6330 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.8333 loss: 3.8333 2022/08/13 11:38:06 - mmengine - INFO - Epoch(train) [10][3000/3757] lr: 3.5827e-02 eta: 4 days, 6:52:22 time: 0.4039 data_time: 0.0141 memory: 13431 grad_norm: 2.5412 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.6001 loss: 3.6001 2022/08/13 11:38:46 - mmengine - INFO - Epoch(train) [10][3100/3757] lr: 3.5897e-02 eta: 4 days, 6:51:36 time: 0.3963 data_time: 0.0138 memory: 13431 grad_norm: 2.6516 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.5995 loss: 3.5995 2022/08/13 11:39:24 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 11:39:29 - mmengine - INFO - Epoch(train) [10][3200/3757] lr: 3.5968e-02 eta: 4 days, 6:52:20 time: 0.3936 data_time: 0.0135 memory: 13431 grad_norm: 2.6173 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.5947 loss: 3.5947 2022/08/13 11:40:09 - mmengine - INFO - Epoch(train) [10][3300/3757] lr: 3.6038e-02 eta: 4 days, 6:51:28 time: 0.3942 data_time: 0.0131 memory: 13431 grad_norm: 2.6373 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.6140 loss: 3.6140 2022/08/13 11:40:49 - mmengine - INFO - Epoch(train) [10][3400/3757] lr: 3.6108e-02 eta: 4 days, 6:50:44 time: 0.3920 data_time: 0.0134 memory: 13431 grad_norm: 2.5434 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.6099 loss: 3.6099 2022/08/13 11:41:29 - mmengine - INFO - Epoch(train) [10][3500/3757] lr: 3.6178e-02 eta: 4 days, 6:50:14 time: 0.3931 data_time: 0.0145 memory: 13431 grad_norm: 2.6035 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.5138 loss: 3.5138 2022/08/13 11:42:09 - mmengine - INFO - Epoch(train) [10][3600/3757] lr: 3.6249e-02 eta: 4 days, 6:49:26 time: 0.3949 data_time: 0.0132 memory: 13431 grad_norm: 2.5739 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.4389 loss: 3.4389 2022/08/13 11:42:49 - mmengine - INFO - Epoch(train) [10][3700/3757] lr: 3.6319e-02 eta: 4 days, 6:48:47 time: 0.4100 data_time: 0.0143 memory: 13431 grad_norm: 2.6018 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.7562 loss: 3.7562 2022/08/13 11:43:12 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 11:43:12 - mmengine - INFO - Epoch(train) [10][3757/3757] lr: 3.6359e-02 eta: 4 days, 6:48:32 time: 0.3894 data_time: 0.0125 memory: 13431 grad_norm: 2.6186 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 3.5920 loss: 3.5920 2022/08/13 11:43:35 - mmengine - INFO - Epoch(val) [10][100/310] eta: 0:00:53 time: 0.2537 data_time: 0.1241 memory: 1974 2022/08/13 11:43:56 - mmengine - INFO - Epoch(val) [10][200/310] eta: 0:00:21 time: 0.1927 data_time: 0.0654 memory: 1974 2022/08/13 11:44:17 - mmengine - INFO - Epoch(val) [10][300/310] eta: 0:00:02 time: 0.2086 data_time: 0.0760 memory: 1974 2022/08/13 11:44:22 - mmengine - INFO - Epoch(val) [10][310/310] acc/top1: 0.2901 acc/top5: 0.5556 acc/mean1: 0.2901 2022/08/13 11:44:22 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_6.pth is removed 2022/08/13 11:44:25 - mmengine - INFO - The best checkpoint with 0.2901 acc/top1 at 11 epoch is saved to best_acc/top1_epoch_11.pth. 2022/08/13 11:45:05 - mmengine - INFO - Epoch(train) [11][100/3757] lr: 3.6403e-02 eta: 4 days, 6:45:07 time: 0.3975 data_time: 0.0131 memory: 13431 grad_norm: 2.5602 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.4663 loss: 3.4663 2022/08/13 11:45:45 - mmengine - INFO - Epoch(train) [11][200/3757] lr: 3.6473e-02 eta: 4 days, 6:44:23 time: 0.4061 data_time: 0.0150 memory: 13431 grad_norm: 2.5587 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.4505 loss: 3.4505 2022/08/13 11:46:25 - mmengine - INFO - Epoch(train) [11][300/3757] lr: 3.6544e-02 eta: 4 days, 6:43:48 time: 0.4252 data_time: 0.0149 memory: 13431 grad_norm: 2.6409 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.5221 loss: 3.5221 2022/08/13 11:47:06 - mmengine - INFO - Epoch(train) [11][400/3757] lr: 3.6614e-02 eta: 4 days, 6:43:17 time: 0.4049 data_time: 0.0156 memory: 13431 grad_norm: 2.6937 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4971 loss: 3.4971 2022/08/13 11:47:18 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 11:47:46 - mmengine - INFO - Epoch(train) [11][500/3757] lr: 3.6684e-02 eta: 4 days, 6:42:39 time: 0.4106 data_time: 0.0150 memory: 13431 grad_norm: 2.5862 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.3950 loss: 3.3950 2022/08/13 11:48:27 - mmengine - INFO - Epoch(train) [11][600/3757] lr: 3.6754e-02 eta: 4 days, 6:42:11 time: 0.4195 data_time: 0.0139 memory: 13431 grad_norm: 2.6711 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.9220 loss: 3.9220 2022/08/13 11:49:07 - mmengine - INFO - Epoch(train) [11][700/3757] lr: 3.6824e-02 eta: 4 days, 6:41:35 time: 0.4213 data_time: 0.0160 memory: 13431 grad_norm: 2.5889 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.5246 loss: 3.5246 2022/08/13 11:49:47 - mmengine - INFO - Epoch(train) [11][800/3757] lr: 3.6894e-02 eta: 4 days, 6:40:53 time: 0.4047 data_time: 0.0155 memory: 13431 grad_norm: 2.5445 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.6283 loss: 3.6283 2022/08/13 11:50:27 - mmengine - INFO - Epoch(train) [11][900/3757] lr: 3.6965e-02 eta: 4 days, 6:40:08 time: 0.4048 data_time: 0.0146 memory: 13431 grad_norm: 2.7217 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.8123 loss: 3.8123 2022/08/13 11:51:07 - mmengine - INFO - Epoch(train) [11][1000/3757] lr: 3.7035e-02 eta: 4 days, 6:39:28 time: 0.4027 data_time: 0.0138 memory: 13431 grad_norm: 2.6753 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.6565 loss: 3.6565 2022/08/13 11:51:47 - mmengine - INFO - Epoch(train) [11][1100/3757] lr: 3.7105e-02 eta: 4 days, 6:38:49 time: 0.4069 data_time: 0.0155 memory: 13431 grad_norm: 2.6667 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3539 loss: 3.3539 2022/08/13 11:52:27 - mmengine - INFO - Epoch(train) [11][1200/3757] lr: 3.7175e-02 eta: 4 days, 6:38:07 time: 0.3997 data_time: 0.0174 memory: 13431 grad_norm: 2.6443 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1344 loss: 3.1344 2022/08/13 11:53:07 - mmengine - INFO - Epoch(train) [11][1300/3757] lr: 3.7245e-02 eta: 4 days, 6:37:42 time: 0.4132 data_time: 0.0152 memory: 13431 grad_norm: 2.6800 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.8390 loss: 3.8390 2022/08/13 11:53:48 - mmengine - INFO - Epoch(train) [11][1400/3757] lr: 3.7316e-02 eta: 4 days, 6:37:09 time: 0.4205 data_time: 0.0150 memory: 13431 grad_norm: 2.7203 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.9325 loss: 3.9325 2022/08/13 11:54:00 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 11:54:28 - mmengine - INFO - Epoch(train) [11][1500/3757] lr: 3.7386e-02 eta: 4 days, 6:36:30 time: 0.4082 data_time: 0.0163 memory: 13431 grad_norm: 2.6327 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3462 loss: 3.3462 2022/08/13 11:55:08 - mmengine - INFO - Epoch(train) [11][1600/3757] lr: 3.7456e-02 eta: 4 days, 6:35:49 time: 0.4122 data_time: 0.0156 memory: 13431 grad_norm: 2.5851 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.7374 loss: 3.7374 2022/08/13 11:55:48 - mmengine - INFO - Epoch(train) [11][1700/3757] lr: 3.7526e-02 eta: 4 days, 6:35:04 time: 0.3993 data_time: 0.0141 memory: 13431 grad_norm: 2.5964 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.5561 loss: 3.5561 2022/08/13 11:56:29 - mmengine - INFO - Epoch(train) [11][1800/3757] lr: 3.7596e-02 eta: 4 days, 6:34:46 time: 0.4283 data_time: 0.0173 memory: 13431 grad_norm: 2.6688 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.3846 loss: 3.3846 2022/08/13 11:57:09 - mmengine - INFO - Epoch(train) [11][1900/3757] lr: 3.7667e-02 eta: 4 days, 6:34:05 time: 0.4064 data_time: 0.0154 memory: 13431 grad_norm: 2.6063 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.4117 loss: 3.4117 2022/08/13 11:57:50 - mmengine - INFO - Epoch(train) [11][2000/3757] lr: 3.7737e-02 eta: 4 days, 6:33:54 time: 0.3980 data_time: 0.0132 memory: 13431 grad_norm: 2.5694 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.9301 loss: 3.9301 2022/08/13 11:58:30 - mmengine - INFO - Epoch(train) [11][2100/3757] lr: 3.7807e-02 eta: 4 days, 6:33:18 time: 0.3939 data_time: 0.0148 memory: 13431 grad_norm: 2.6474 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.6130 loss: 3.6130 2022/08/13 11:59:10 - mmengine - INFO - Epoch(train) [11][2200/3757] lr: 3.7877e-02 eta: 4 days, 6:32:38 time: 0.3919 data_time: 0.0129 memory: 13431 grad_norm: 2.6083 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.5935 loss: 3.5935 2022/08/13 11:59:50 - mmengine - INFO - Epoch(train) [11][2300/3757] lr: 3.7947e-02 eta: 4 days, 6:31:52 time: 0.3940 data_time: 0.0133 memory: 13431 grad_norm: 2.6576 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7069 loss: 3.7069 2022/08/13 12:00:36 - mmengine - INFO - Epoch(train) [11][2400/3757] lr: 3.8018e-02 eta: 4 days, 6:33:28 time: 0.4213 data_time: 0.0156 memory: 13431 grad_norm: 2.5663 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2060 loss: 3.2060 2022/08/13 12:00:48 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 12:01:16 - mmengine - INFO - Epoch(train) [11][2500/3757] lr: 3.8088e-02 eta: 4 days, 6:32:46 time: 0.4101 data_time: 0.0142 memory: 13431 grad_norm: 2.6063 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 3.8182 loss: 3.8182 2022/08/13 12:01:56 - mmengine - INFO - Epoch(train) [11][2600/3757] lr: 3.8158e-02 eta: 4 days, 6:31:55 time: 0.3956 data_time: 0.0145 memory: 13431 grad_norm: 2.6109 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.5018 loss: 3.5018 2022/08/13 12:02:36 - mmengine - INFO - Epoch(train) [11][2700/3757] lr: 3.8228e-02 eta: 4 days, 6:31:17 time: 0.3944 data_time: 0.0134 memory: 13431 grad_norm: 2.5977 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5504 loss: 3.5504 2022/08/13 12:03:15 - mmengine - INFO - Epoch(train) [11][2800/3757] lr: 3.8298e-02 eta: 4 days, 6:30:29 time: 0.3946 data_time: 0.0133 memory: 13431 grad_norm: 2.6083 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.5909 loss: 3.5909 2022/08/13 12:03:56 - mmengine - INFO - Epoch(train) [11][2900/3757] lr: 3.8369e-02 eta: 4 days, 6:29:50 time: 0.3968 data_time: 0.0143 memory: 13431 grad_norm: 2.6271 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.4347 loss: 3.4347 2022/08/13 12:04:35 - mmengine - INFO - Epoch(train) [11][3000/3757] lr: 3.8439e-02 eta: 4 days, 6:29:07 time: 0.3921 data_time: 0.0140 memory: 13431 grad_norm: 2.5691 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.2918 loss: 3.2918 2022/08/13 12:05:16 - mmengine - INFO - Epoch(train) [11][3100/3757] lr: 3.8509e-02 eta: 4 days, 6:28:29 time: 0.4024 data_time: 0.0137 memory: 13431 grad_norm: 2.5293 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3791 loss: 3.3791 2022/08/13 12:05:55 - mmengine - INFO - Epoch(train) [11][3200/3757] lr: 3.8579e-02 eta: 4 days, 6:27:38 time: 0.3937 data_time: 0.0127 memory: 13431 grad_norm: 2.6662 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.6409 loss: 3.6409 2022/08/13 12:06:35 - mmengine - INFO - Epoch(train) [11][3300/3757] lr: 3.8649e-02 eta: 4 days, 6:26:54 time: 0.3957 data_time: 0.0144 memory: 13431 grad_norm: 2.5852 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3909 loss: 3.3909 2022/08/13 12:07:16 - mmengine - INFO - Epoch(train) [11][3400/3757] lr: 3.8719e-02 eta: 4 days, 6:26:24 time: 0.3975 data_time: 0.0134 memory: 13431 grad_norm: 2.7159 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3676 loss: 3.3676 2022/08/13 12:07:28 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 12:07:56 - mmengine - INFO - Epoch(train) [11][3500/3757] lr: 3.8790e-02 eta: 4 days, 6:25:54 time: 0.3944 data_time: 0.0142 memory: 13431 grad_norm: 2.6094 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.7455 loss: 3.7455 2022/08/13 12:08:36 - mmengine - INFO - Epoch(train) [11][3600/3757] lr: 3.8860e-02 eta: 4 days, 6:25:12 time: 0.3947 data_time: 0.0143 memory: 13431 grad_norm: 2.6606 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4772 loss: 3.4772 2022/08/13 12:09:16 - mmengine - INFO - Epoch(train) [11][3700/3757] lr: 3.8930e-02 eta: 4 days, 6:24:25 time: 0.3937 data_time: 0.0133 memory: 13431 grad_norm: 2.5804 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2541 loss: 3.2541 2022/08/13 12:09:38 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 12:09:38 - mmengine - INFO - Epoch(train) [11][3757/3757] lr: 3.8970e-02 eta: 4 days, 6:24:10 time: 0.3817 data_time: 0.0136 memory: 13431 grad_norm: 2.6698 top1_acc: 0.1429 top5_acc: 0.2857 loss_cls: 3.4928 loss: 3.4928 2022/08/13 12:10:20 - mmengine - INFO - Epoch(train) [12][100/3757] lr: 3.9009e-02 eta: 4 days, 6:21:27 time: 0.3961 data_time: 0.0144 memory: 13431 grad_norm: 2.5588 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.4661 loss: 3.4661 2022/08/13 12:11:00 - mmengine - INFO - Epoch(train) [12][200/3757] lr: 3.9080e-02 eta: 4 days, 6:20:36 time: 0.3973 data_time: 0.0155 memory: 13431 grad_norm: 2.5568 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.6151 loss: 3.6151 2022/08/13 12:11:41 - mmengine - INFO - Epoch(train) [12][300/3757] lr: 3.9150e-02 eta: 4 days, 6:20:15 time: 0.4021 data_time: 0.0144 memory: 13431 grad_norm: 2.5963 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.3859 loss: 3.3859 2022/08/13 12:12:21 - mmengine - INFO - Epoch(train) [12][400/3757] lr: 3.9220e-02 eta: 4 days, 6:19:37 time: 0.3923 data_time: 0.0136 memory: 13431 grad_norm: 2.6416 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.6187 loss: 3.6187 2022/08/13 12:13:01 - mmengine - INFO - Epoch(train) [12][500/3757] lr: 3.9290e-02 eta: 4 days, 6:19:03 time: 0.3933 data_time: 0.0135 memory: 13431 grad_norm: 2.6454 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5251 loss: 3.5251 2022/08/13 12:13:41 - mmengine - INFO - Epoch(train) [12][600/3757] lr: 3.9360e-02 eta: 4 days, 6:18:15 time: 0.3935 data_time: 0.0134 memory: 13431 grad_norm: 2.6732 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.5479 loss: 3.5479 2022/08/13 12:14:10 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 12:14:20 - mmengine - INFO - Epoch(train) [12][700/3757] lr: 3.9430e-02 eta: 4 days, 6:17:25 time: 0.3973 data_time: 0.0146 memory: 13431 grad_norm: 2.6623 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4657 loss: 3.4657 2022/08/13 12:15:00 - mmengine - INFO - Epoch(train) [12][800/3757] lr: 3.9500e-02 eta: 4 days, 6:16:41 time: 0.3949 data_time: 0.0136 memory: 13431 grad_norm: 2.6521 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3261 loss: 3.3261 2022/08/13 12:15:40 - mmengine - INFO - Epoch(train) [12][900/3757] lr: 3.9570e-02 eta: 4 days, 6:16:00 time: 0.3937 data_time: 0.0137 memory: 13431 grad_norm: 2.6079 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.3075 loss: 3.3075 2022/08/13 12:16:21 - mmengine - INFO - Epoch(train) [12][1000/3757] lr: 3.9641e-02 eta: 4 days, 6:15:36 time: 0.4003 data_time: 0.0135 memory: 13431 grad_norm: 2.7073 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.6424 loss: 3.6424 2022/08/13 12:17:01 - mmengine - INFO - Epoch(train) [12][1100/3757] lr: 3.9711e-02 eta: 4 days, 6:14:59 time: 0.3947 data_time: 0.0135 memory: 13431 grad_norm: 2.6925 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.5636 loss: 3.5636 2022/08/13 12:17:41 - mmengine - INFO - Epoch(train) [12][1200/3757] lr: 3.9781e-02 eta: 4 days, 6:14:18 time: 0.3939 data_time: 0.0130 memory: 13431 grad_norm: 2.6043 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.7445 loss: 3.7445 2022/08/13 12:18:21 - mmengine - INFO - Epoch(train) [12][1300/3757] lr: 3.9851e-02 eta: 4 days, 6:13:33 time: 0.3938 data_time: 0.0135 memory: 13431 grad_norm: 2.6548 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2928 loss: 3.2928 2022/08/13 12:19:01 - mmengine - INFO - Epoch(train) [12][1400/3757] lr: 3.9921e-02 eta: 4 days, 6:12:45 time: 0.3932 data_time: 0.0139 memory: 13431 grad_norm: 2.6386 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0270 loss: 3.0270 2022/08/13 12:19:40 - mmengine - INFO - Epoch(train) [12][1500/3757] lr: 3.9991e-02 eta: 4 days, 6:11:55 time: 0.3946 data_time: 0.0144 memory: 13431 grad_norm: 2.6347 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3732 loss: 3.3732 2022/08/13 12:20:20 - mmengine - INFO - Epoch(train) [12][1600/3757] lr: 4.0061e-02 eta: 4 days, 6:11:11 time: 0.4022 data_time: 0.0150 memory: 13431 grad_norm: 2.5086 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.6702 loss: 3.6702 2022/08/13 12:20:50 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 12:21:01 - mmengine - INFO - Epoch(train) [12][1700/3757] lr: 4.0132e-02 eta: 4 days, 6:10:35 time: 0.3966 data_time: 0.0146 memory: 13431 grad_norm: 2.6722 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3207 loss: 3.3207 2022/08/13 12:21:40 - mmengine - INFO - Epoch(train) [12][1800/3757] lr: 4.0202e-02 eta: 4 days, 6:09:51 time: 0.3936 data_time: 0.0126 memory: 13431 grad_norm: 2.5926 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.6325 loss: 3.6325 2022/08/13 12:22:20 - mmengine - INFO - Epoch(train) [12][1900/3757] lr: 4.0272e-02 eta: 4 days, 6:09:11 time: 0.3934 data_time: 0.0149 memory: 13431 grad_norm: 2.6520 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2015 loss: 3.2015 2022/08/13 12:23:00 - mmengine - INFO - Epoch(train) [12][2000/3757] lr: 4.0342e-02 eta: 4 days, 6:08:29 time: 0.3932 data_time: 0.0135 memory: 13431 grad_norm: 2.6268 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.6281 loss: 3.6281 2022/08/13 12:23:41 - mmengine - INFO - Epoch(train) [12][2100/3757] lr: 4.0412e-02 eta: 4 days, 6:07:52 time: 0.3951 data_time: 0.0148 memory: 13431 grad_norm: 2.6715 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.6234 loss: 3.6234 2022/08/13 12:24:21 - mmengine - INFO - Epoch(train) [12][2200/3757] lr: 4.0482e-02 eta: 4 days, 6:07:24 time: 0.3928 data_time: 0.0131 memory: 13431 grad_norm: 2.6270 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.7187 loss: 3.7187 2022/08/13 12:25:01 - mmengine - INFO - Epoch(train) [12][2300/3757] lr: 4.0552e-02 eta: 4 days, 6:06:45 time: 0.3994 data_time: 0.0149 memory: 13431 grad_norm: 2.6693 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.5007 loss: 3.5007 2022/08/13 12:25:42 - mmengine - INFO - Epoch(train) [12][2400/3757] lr: 4.0623e-02 eta: 4 days, 6:06:08 time: 0.3997 data_time: 0.0134 memory: 13431 grad_norm: 2.5643 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5302 loss: 3.5302 2022/08/13 12:26:21 - mmengine - INFO - Epoch(train) [12][2500/3757] lr: 4.0693e-02 eta: 4 days, 6:05:26 time: 0.3981 data_time: 0.0142 memory: 13431 grad_norm: 2.6283 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.8200 loss: 3.8200 2022/08/13 12:27:01 - mmengine - INFO - Epoch(train) [12][2600/3757] lr: 4.0763e-02 eta: 4 days, 6:04:37 time: 0.3944 data_time: 0.0130 memory: 13431 grad_norm: 2.6063 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.6439 loss: 3.6439 2022/08/13 12:27:30 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 12:27:41 - mmengine - INFO - Epoch(train) [12][2700/3757] lr: 4.0833e-02 eta: 4 days, 6:03:53 time: 0.3947 data_time: 0.0129 memory: 13431 grad_norm: 2.6578 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.4690 loss: 3.4690 2022/08/13 12:28:21 - mmengine - INFO - Epoch(train) [12][2800/3757] lr: 4.0903e-02 eta: 4 days, 6:03:11 time: 0.4005 data_time: 0.0147 memory: 13431 grad_norm: 2.5626 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3783 loss: 3.3783 2022/08/13 12:29:01 - mmengine - INFO - Epoch(train) [12][2900/3757] lr: 4.0973e-02 eta: 4 days, 6:02:28 time: 0.4058 data_time: 0.0156 memory: 13431 grad_norm: 2.6914 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4793 loss: 3.4793 2022/08/13 12:29:41 - mmengine - INFO - Epoch(train) [12][3000/3757] lr: 4.1043e-02 eta: 4 days, 6:01:47 time: 0.4020 data_time: 0.0162 memory: 13431 grad_norm: 2.6109 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.4134 loss: 3.4134 2022/08/13 12:30:21 - mmengine - INFO - Epoch(train) [12][3100/3757] lr: 4.1113e-02 eta: 4 days, 6:01:08 time: 0.4037 data_time: 0.0137 memory: 13431 grad_norm: 2.7202 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4762 loss: 3.4762 2022/08/13 12:31:01 - mmengine - INFO - Epoch(train) [12][3200/3757] lr: 4.1184e-02 eta: 4 days, 6:00:31 time: 0.3973 data_time: 0.0148 memory: 13431 grad_norm: 2.6790 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4254 loss: 3.4254 2022/08/13 12:31:41 - mmengine - INFO - Epoch(train) [12][3300/3757] lr: 4.1254e-02 eta: 4 days, 5:59:42 time: 0.4038 data_time: 0.0146 memory: 13431 grad_norm: 2.6373 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.3220 loss: 3.3220 2022/08/13 12:32:21 - mmengine - INFO - Epoch(train) [12][3400/3757] lr: 4.1324e-02 eta: 4 days, 5:59:01 time: 0.4061 data_time: 0.0149 memory: 13431 grad_norm: 2.7535 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.5144 loss: 3.5144 2022/08/13 12:33:02 - mmengine - INFO - Epoch(train) [12][3500/3757] lr: 4.1394e-02 eta: 4 days, 5:58:38 time: 0.4498 data_time: 0.0154 memory: 13431 grad_norm: 2.6225 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5988 loss: 3.5988 2022/08/13 12:33:42 - mmengine - INFO - Epoch(train) [12][3600/3757] lr: 4.1464e-02 eta: 4 days, 5:57:57 time: 0.4070 data_time: 0.0151 memory: 13431 grad_norm: 2.6799 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.6528 loss: 3.6528 2022/08/13 12:34:11 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 12:34:22 - mmengine - INFO - Epoch(train) [12][3700/3757] lr: 4.1534e-02 eta: 4 days, 5:57:16 time: 0.4041 data_time: 0.0136 memory: 13431 grad_norm: 2.5787 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5780 loss: 3.5780 2022/08/13 12:34:44 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 12:34:44 - mmengine - INFO - Epoch(train) [12][3757/3757] lr: 4.1574e-02 eta: 4 days, 5:56:57 time: 0.3817 data_time: 0.0129 memory: 13431 grad_norm: 2.5898 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 3.3260 loss: 3.3260 2022/08/13 12:34:44 - mmengine - INFO - Saving checkpoint at 12 epochs 2022/08/13 12:35:30 - mmengine - INFO - Epoch(train) [13][100/3757] lr: 4.1608e-02 eta: 4 days, 5:54:21 time: 0.4093 data_time: 0.0152 memory: 13431 grad_norm: 2.6246 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3201 loss: 3.3201 2022/08/13 12:36:10 - mmengine - INFO - Epoch(train) [13][200/3757] lr: 4.1678e-02 eta: 4 days, 5:53:40 time: 0.4034 data_time: 0.0137 memory: 13431 grad_norm: 2.6097 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4947 loss: 3.4947 2022/08/13 12:36:50 - mmengine - INFO - Epoch(train) [13][300/3757] lr: 4.1748e-02 eta: 4 days, 5:52:53 time: 0.3984 data_time: 0.0135 memory: 13431 grad_norm: 2.6534 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9089 loss: 2.9089 2022/08/13 12:37:30 - mmengine - INFO - Epoch(train) [13][400/3757] lr: 4.1819e-02 eta: 4 days, 5:52:17 time: 0.3981 data_time: 0.0129 memory: 13431 grad_norm: 2.6514 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4691 loss: 3.4691 2022/08/13 12:38:10 - mmengine - INFO - Epoch(train) [13][500/3757] lr: 4.1889e-02 eta: 4 days, 5:51:34 time: 0.4004 data_time: 0.0136 memory: 13431 grad_norm: 2.5970 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5921 loss: 3.5921 2022/08/13 12:38:50 - mmengine - INFO - Epoch(train) [13][600/3757] lr: 4.1959e-02 eta: 4 days, 5:50:47 time: 0.3945 data_time: 0.0136 memory: 13431 grad_norm: 2.6047 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2870 loss: 3.2870 2022/08/13 12:39:30 - mmengine - INFO - Epoch(train) [13][700/3757] lr: 4.2029e-02 eta: 4 days, 5:50:04 time: 0.4018 data_time: 0.0130 memory: 13431 grad_norm: 2.5996 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2528 loss: 3.2528 2022/08/13 12:40:10 - mmengine - INFO - Epoch(train) [13][800/3757] lr: 4.2099e-02 eta: 4 days, 5:49:26 time: 0.4033 data_time: 0.0153 memory: 13431 grad_norm: 2.6631 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2884 loss: 3.2884 2022/08/13 12:40:50 - mmengine - INFO - Epoch(train) [13][900/3757] lr: 4.2169e-02 eta: 4 days, 5:48:47 time: 0.4046 data_time: 0.0159 memory: 13431 grad_norm: 2.6370 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3277 loss: 3.3277 2022/08/13 12:40:56 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 12:41:30 - mmengine - INFO - Epoch(train) [13][1000/3757] lr: 4.2239e-02 eta: 4 days, 5:48:02 time: 0.3987 data_time: 0.0150 memory: 13431 grad_norm: 2.6545 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5048 loss: 3.5048 2022/08/13 12:42:10 - mmengine - INFO - Epoch(train) [13][1100/3757] lr: 4.2309e-02 eta: 4 days, 5:47:24 time: 0.4061 data_time: 0.0161 memory: 13431 grad_norm: 2.6540 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.4059 loss: 3.4059 2022/08/13 12:42:50 - mmengine - INFO - Epoch(train) [13][1200/3757] lr: 4.2379e-02 eta: 4 days, 5:46:40 time: 0.4016 data_time: 0.0146 memory: 13431 grad_norm: 2.6419 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3604 loss: 3.3604 2022/08/13 12:43:29 - mmengine - INFO - Epoch(train) [13][1300/3757] lr: 4.2449e-02 eta: 4 days, 5:45:57 time: 0.3957 data_time: 0.0152 memory: 13431 grad_norm: 2.6698 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.3993 loss: 3.3993 2022/08/13 12:44:09 - mmengine - INFO - Epoch(train) [13][1400/3757] lr: 4.2519e-02 eta: 4 days, 5:45:13 time: 0.3968 data_time: 0.0142 memory: 13431 grad_norm: 2.6116 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2457 loss: 3.2457 2022/08/13 12:44:50 - mmengine - INFO - Epoch(train) [13][1500/3757] lr: 4.2589e-02 eta: 4 days, 5:44:42 time: 0.4068 data_time: 0.0150 memory: 13431 grad_norm: 2.6866 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.4107 loss: 3.4107 2022/08/13 12:45:30 - mmengine - INFO - Epoch(train) [13][1600/3757] lr: 4.2659e-02 eta: 4 days, 5:44:00 time: 0.4019 data_time: 0.0166 memory: 13431 grad_norm: 2.6089 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.5665 loss: 3.5665 2022/08/13 12:46:10 - mmengine - INFO - Epoch(train) [13][1700/3757] lr: 4.2730e-02 eta: 4 days, 5:43:19 time: 0.4054 data_time: 0.0169 memory: 13431 grad_norm: 2.6692 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.5704 loss: 3.5704 2022/08/13 12:46:50 - mmengine - INFO - Epoch(train) [13][1800/3757] lr: 4.2800e-02 eta: 4 days, 5:42:35 time: 0.3929 data_time: 0.0149 memory: 13431 grad_norm: 2.6109 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2773 loss: 3.2773 2022/08/13 12:47:30 - mmengine - INFO - Epoch(train) [13][1900/3757] lr: 4.2870e-02 eta: 4 days, 5:41:54 time: 0.4020 data_time: 0.0139 memory: 13431 grad_norm: 2.6373 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.6241 loss: 3.6241 2022/08/13 12:47:36 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 12:48:10 - mmengine - INFO - Epoch(train) [13][2000/3757] lr: 4.2940e-02 eta: 4 days, 5:41:18 time: 0.3974 data_time: 0.0141 memory: 13431 grad_norm: 2.5800 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.6646 loss: 3.6646 2022/08/13 12:48:50 - mmengine - INFO - Epoch(train) [13][2100/3757] lr: 4.3010e-02 eta: 4 days, 5:40:35 time: 0.3973 data_time: 0.0140 memory: 13431 grad_norm: 2.6227 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5897 loss: 3.5897 2022/08/13 12:49:30 - mmengine - INFO - Epoch(train) [13][2200/3757] lr: 4.3080e-02 eta: 4 days, 5:40:06 time: 0.4073 data_time: 0.0152 memory: 13431 grad_norm: 2.5717 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.5422 loss: 3.5422 2022/08/13 12:50:11 - mmengine - INFO - Epoch(train) [13][2300/3757] lr: 4.3150e-02 eta: 4 days, 5:39:33 time: 0.4076 data_time: 0.0148 memory: 13431 grad_norm: 2.6106 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.5891 loss: 3.5891 2022/08/13 12:50:51 - mmengine - INFO - Epoch(train) [13][2400/3757] lr: 4.3220e-02 eta: 4 days, 5:38:51 time: 0.3956 data_time: 0.0136 memory: 13431 grad_norm: 2.6440 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.0587 loss: 3.0587 2022/08/13 12:51:31 - mmengine - INFO - Epoch(train) [13][2500/3757] lr: 4.3290e-02 eta: 4 days, 5:38:23 time: 0.3942 data_time: 0.0129 memory: 13431 grad_norm: 2.7098 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4811 loss: 3.4811 2022/08/13 12:52:11 - mmengine - INFO - Epoch(train) [13][2600/3757] lr: 4.3360e-02 eta: 4 days, 5:37:43 time: 0.4035 data_time: 0.0156 memory: 13431 grad_norm: 2.5990 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3185 loss: 3.3185 2022/08/13 12:52:51 - mmengine - INFO - Epoch(train) [13][2700/3757] lr: 4.3430e-02 eta: 4 days, 5:37:00 time: 0.3954 data_time: 0.0139 memory: 13431 grad_norm: 2.5838 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4252 loss: 3.4252 2022/08/13 12:53:31 - mmengine - INFO - Epoch(train) [13][2800/3757] lr: 4.3500e-02 eta: 4 days, 5:36:17 time: 0.3973 data_time: 0.0146 memory: 13431 grad_norm: 2.5097 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3464 loss: 3.3464 2022/08/13 12:54:12 - mmengine - INFO - Epoch(train) [13][2900/3757] lr: 4.3570e-02 eta: 4 days, 5:35:53 time: 0.4251 data_time: 0.0155 memory: 13431 grad_norm: 2.6192 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1847 loss: 3.1847 2022/08/13 12:54:18 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 12:54:52 - mmengine - INFO - Epoch(train) [13][3000/3757] lr: 4.3641e-02 eta: 4 days, 5:35:12 time: 0.4022 data_time: 0.0132 memory: 13431 grad_norm: 2.5720 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.4932 loss: 3.4932 2022/08/13 12:55:32 - mmengine - INFO - Epoch(train) [13][3100/3757] lr: 4.3711e-02 eta: 4 days, 5:34:31 time: 0.4047 data_time: 0.0165 memory: 13431 grad_norm: 2.6519 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2513 loss: 3.2513 2022/08/13 12:56:12 - mmengine - INFO - Epoch(train) [13][3200/3757] lr: 4.3781e-02 eta: 4 days, 5:33:52 time: 0.4035 data_time: 0.0144 memory: 13431 grad_norm: 2.6190 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.5119 loss: 3.5119 2022/08/13 12:56:52 - mmengine - INFO - Epoch(train) [13][3300/3757] lr: 4.3851e-02 eta: 4 days, 5:33:14 time: 0.3951 data_time: 0.0131 memory: 13431 grad_norm: 2.6084 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3766 loss: 3.3766 2022/08/13 12:57:32 - mmengine - INFO - Epoch(train) [13][3400/3757] lr: 4.3921e-02 eta: 4 days, 5:32:32 time: 0.3965 data_time: 0.0138 memory: 13431 grad_norm: 2.5324 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4492 loss: 3.4492 2022/08/13 12:58:12 - mmengine - INFO - Epoch(train) [13][3500/3757] lr: 4.3991e-02 eta: 4 days, 5:31:53 time: 0.4019 data_time: 0.0131 memory: 13431 grad_norm: 2.5432 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.3571 loss: 3.3571 2022/08/13 12:58:53 - mmengine - INFO - Epoch(train) [13][3600/3757] lr: 4.4061e-02 eta: 4 days, 5:31:21 time: 0.4101 data_time: 0.0143 memory: 13431 grad_norm: 2.6078 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.4228 loss: 3.4228 2022/08/13 12:59:33 - mmengine - INFO - Epoch(train) [13][3700/3757] lr: 4.4131e-02 eta: 4 days, 5:30:42 time: 0.3997 data_time: 0.0158 memory: 13431 grad_norm: 2.6288 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1714 loss: 3.1714 2022/08/13 12:59:55 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 12:59:55 - mmengine - INFO - Epoch(train) [13][3757/3757] lr: 4.4171e-02 eta: 4 days, 5:30:27 time: 0.3800 data_time: 0.0132 memory: 13431 grad_norm: 2.6735 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 3.7453 loss: 3.7453 2022/08/13 13:00:37 - mmengine - INFO - Epoch(train) [14][100/3757] lr: 4.4199e-02 eta: 4 days, 5:28:06 time: 0.3934 data_time: 0.0138 memory: 13431 grad_norm: 2.6494 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0593 loss: 3.0593 2022/08/13 13:01:01 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 13:01:17 - mmengine - INFO - Epoch(train) [14][200/3757] lr: 4.4269e-02 eta: 4 days, 5:27:26 time: 0.4006 data_time: 0.0131 memory: 13431 grad_norm: 2.6165 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1648 loss: 3.1648 2022/08/13 13:01:57 - mmengine - INFO - Epoch(train) [14][300/3757] lr: 4.4339e-02 eta: 4 days, 5:26:47 time: 0.3991 data_time: 0.0152 memory: 13431 grad_norm: 2.5765 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2019 loss: 3.2019 2022/08/13 13:02:37 - mmengine - INFO - Epoch(train) [14][400/3757] lr: 4.4409e-02 eta: 4 days, 5:26:04 time: 0.3939 data_time: 0.0136 memory: 13431 grad_norm: 2.5994 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2541 loss: 3.2541 2022/08/13 13:03:17 - mmengine - INFO - Epoch(train) [14][500/3757] lr: 4.4479e-02 eta: 4 days, 5:25:26 time: 0.4022 data_time: 0.0154 memory: 13431 grad_norm: 2.5791 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8593 loss: 2.8593 2022/08/13 13:03:57 - mmengine - INFO - Epoch(train) [14][600/3757] lr: 4.4549e-02 eta: 4 days, 5:24:41 time: 0.3947 data_time: 0.0134 memory: 13431 grad_norm: 2.7054 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.2803 loss: 3.2803 2022/08/13 13:04:37 - mmengine - INFO - Epoch(train) [14][700/3757] lr: 4.4619e-02 eta: 4 days, 5:23:58 time: 0.3949 data_time: 0.0131 memory: 13431 grad_norm: 2.5454 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0291 loss: 3.0291 2022/08/13 13:05:17 - mmengine - INFO - Epoch(train) [14][800/3757] lr: 4.4689e-02 eta: 4 days, 5:23:16 time: 0.3952 data_time: 0.0136 memory: 13431 grad_norm: 2.6709 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5322 loss: 3.5322 2022/08/13 13:05:57 - mmengine - INFO - Epoch(train) [14][900/3757] lr: 4.4759e-02 eta: 4 days, 5:22:34 time: 0.3929 data_time: 0.0136 memory: 13431 grad_norm: 2.6166 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4852 loss: 3.4852 2022/08/13 13:06:37 - mmengine - INFO - Epoch(train) [14][1000/3757] lr: 4.4829e-02 eta: 4 days, 5:21:53 time: 0.3937 data_time: 0.0132 memory: 13431 grad_norm: 2.6211 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5352 loss: 3.5352 2022/08/13 13:07:18 - mmengine - INFO - Epoch(train) [14][1100/3757] lr: 4.4899e-02 eta: 4 days, 5:21:29 time: 0.4013 data_time: 0.0141 memory: 13431 grad_norm: 2.5975 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1632 loss: 3.1632 2022/08/13 13:07:42 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 13:07:58 - mmengine - INFO - Epoch(train) [14][1200/3757] lr: 4.4969e-02 eta: 4 days, 5:20:54 time: 0.3997 data_time: 0.0142 memory: 13431 grad_norm: 2.7738 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4579 loss: 3.4579 2022/08/13 13:08:38 - mmengine - INFO - Epoch(train) [14][1300/3757] lr: 4.5039e-02 eta: 4 days, 5:20:10 time: 0.3954 data_time: 0.0137 memory: 13431 grad_norm: 2.6256 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2441 loss: 3.2441 2022/08/13 13:09:18 - mmengine - INFO - Epoch(train) [14][1400/3757] lr: 4.5109e-02 eta: 4 days, 5:19:26 time: 0.3956 data_time: 0.0136 memory: 13431 grad_norm: 2.6457 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 3.2890 loss: 3.2890 2022/08/13 13:09:58 - mmengine - INFO - Epoch(train) [14][1500/3757] lr: 4.5179e-02 eta: 4 days, 5:18:46 time: 0.3965 data_time: 0.0130 memory: 13431 grad_norm: 2.6962 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.5571 loss: 3.5571 2022/08/13 13:10:37 - mmengine - INFO - Epoch(train) [14][1600/3757] lr: 4.5250e-02 eta: 4 days, 5:17:58 time: 0.3942 data_time: 0.0132 memory: 13431 grad_norm: 2.5859 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1207 loss: 3.1207 2022/08/13 13:11:17 - mmengine - INFO - Epoch(train) [14][1700/3757] lr: 4.5320e-02 eta: 4 days, 5:17:18 time: 0.3948 data_time: 0.0146 memory: 13431 grad_norm: 2.6900 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.6321 loss: 3.6321 2022/08/13 13:11:57 - mmengine - INFO - Epoch(train) [14][1800/3757] lr: 4.5390e-02 eta: 4 days, 5:16:33 time: 0.3940 data_time: 0.0139 memory: 13431 grad_norm: 2.6097 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.0776 loss: 3.0776 2022/08/13 13:12:37 - mmengine - INFO - Epoch(train) [14][1900/3757] lr: 4.5460e-02 eta: 4 days, 5:15:56 time: 0.4005 data_time: 0.0135 memory: 13431 grad_norm: 2.6936 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1462 loss: 3.1462 2022/08/13 13:13:18 - mmengine - INFO - Epoch(train) [14][2000/3757] lr: 4.5530e-02 eta: 4 days, 5:15:17 time: 0.3950 data_time: 0.0144 memory: 13431 grad_norm: 2.6023 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.5599 loss: 3.5599 2022/08/13 13:13:58 - mmengine - INFO - Epoch(train) [14][2100/3757] lr: 4.5600e-02 eta: 4 days, 5:14:37 time: 0.3953 data_time: 0.0142 memory: 13431 grad_norm: 2.6564 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2709 loss: 3.2709 2022/08/13 13:14:21 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 13:14:38 - mmengine - INFO - Epoch(train) [14][2200/3757] lr: 4.5670e-02 eta: 4 days, 5:13:59 time: 0.3953 data_time: 0.0138 memory: 13431 grad_norm: 2.6569 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2778 loss: 3.2778 2022/08/13 13:15:18 - mmengine - INFO - Epoch(train) [14][2300/3757] lr: 4.5740e-02 eta: 4 days, 5:13:17 time: 0.3947 data_time: 0.0130 memory: 13431 grad_norm: 2.6092 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.3001 loss: 3.3001 2022/08/13 13:15:58 - mmengine - INFO - Epoch(train) [14][2400/3757] lr: 4.5810e-02 eta: 4 days, 5:12:36 time: 0.3944 data_time: 0.0142 memory: 13431 grad_norm: 2.6216 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1073 loss: 3.1073 2022/08/13 13:16:37 - mmengine - INFO - Epoch(train) [14][2500/3757] lr: 4.5880e-02 eta: 4 days, 5:11:52 time: 0.3934 data_time: 0.0134 memory: 13431 grad_norm: 2.6710 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2013 loss: 3.2013 2022/08/13 13:17:18 - mmengine - INFO - Epoch(train) [14][2600/3757] lr: 4.5950e-02 eta: 4 days, 5:11:18 time: 0.4030 data_time: 0.0139 memory: 13431 grad_norm: 2.6454 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0540 loss: 3.0540 2022/08/13 13:17:58 - mmengine - INFO - Epoch(train) [14][2700/3757] lr: 4.6020e-02 eta: 4 days, 5:10:39 time: 0.3953 data_time: 0.0137 memory: 13431 grad_norm: 2.5686 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2538 loss: 3.2538 2022/08/13 13:18:38 - mmengine - INFO - Epoch(train) [14][2800/3757] lr: 4.6090e-02 eta: 4 days, 5:09:56 time: 0.3937 data_time: 0.0129 memory: 13431 grad_norm: 2.6728 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2663 loss: 3.2663 2022/08/13 13:19:18 - mmengine - INFO - Epoch(train) [14][2900/3757] lr: 4.6160e-02 eta: 4 days, 5:09:14 time: 0.3935 data_time: 0.0139 memory: 13431 grad_norm: 2.6234 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2666 loss: 3.2666 2022/08/13 13:19:58 - mmengine - INFO - Epoch(train) [14][3000/3757] lr: 4.6230e-02 eta: 4 days, 5:08:33 time: 0.3935 data_time: 0.0145 memory: 13431 grad_norm: 2.5792 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1503 loss: 3.1503 2022/08/13 13:20:38 - mmengine - INFO - Epoch(train) [14][3100/3757] lr: 4.6300e-02 eta: 4 days, 5:08:00 time: 0.4025 data_time: 0.0148 memory: 13431 grad_norm: 2.6895 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2558 loss: 3.2558 2022/08/13 13:21:02 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 13:21:19 - mmengine - INFO - Epoch(train) [14][3200/3757] lr: 4.6370e-02 eta: 4 days, 5:07:28 time: 0.3943 data_time: 0.0136 memory: 13431 grad_norm: 2.6025 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2406 loss: 3.2406 2022/08/13 13:21:59 - mmengine - INFO - Epoch(train) [14][3300/3757] lr: 4.6440e-02 eta: 4 days, 5:06:54 time: 0.3971 data_time: 0.0145 memory: 13431 grad_norm: 2.6430 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.4372 loss: 3.4372 2022/08/13 13:22:39 - mmengine - INFO - Epoch(train) [14][3400/3757] lr: 4.6510e-02 eta: 4 days, 5:06:21 time: 0.3952 data_time: 0.0133 memory: 13431 grad_norm: 2.6740 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1290 loss: 3.1290 2022/08/13 13:23:19 - mmengine - INFO - Epoch(train) [14][3500/3757] lr: 4.6580e-02 eta: 4 days, 5:05:40 time: 0.3955 data_time: 0.0139 memory: 13431 grad_norm: 2.5573 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4462 loss: 3.4462 2022/08/13 13:23:59 - mmengine - INFO - Epoch(train) [14][3600/3757] lr: 4.6650e-02 eta: 4 days, 5:04:54 time: 0.3946 data_time: 0.0140 memory: 13431 grad_norm: 2.6243 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2651 loss: 3.2651 2022/08/13 13:24:39 - mmengine - INFO - Epoch(train) [14][3700/3757] lr: 4.6720e-02 eta: 4 days, 5:04:09 time: 0.3931 data_time: 0.0131 memory: 13431 grad_norm: 2.5694 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5210 loss: 3.5210 2022/08/13 13:25:01 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 13:25:01 - mmengine - INFO - Epoch(train) [14][3757/3757] lr: 4.6760e-02 eta: 4 days, 5:03:53 time: 0.3838 data_time: 0.0129 memory: 13431 grad_norm: 2.6625 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 3.3065 loss: 3.3065 2022/08/13 13:25:44 - mmengine - INFO - Epoch(train) [15][100/3757] lr: 4.6782e-02 eta: 4 days, 5:01:44 time: 0.4083 data_time: 0.0137 memory: 13431 grad_norm: 2.6671 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.6659 loss: 3.6659 2022/08/13 13:26:24 - mmengine - INFO - Epoch(train) [15][200/3757] lr: 4.6852e-02 eta: 4 days, 5:01:05 time: 0.4161 data_time: 0.0141 memory: 13431 grad_norm: 2.6105 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1547 loss: 3.1547 2022/08/13 13:27:04 - mmengine - INFO - Epoch(train) [15][300/3757] lr: 4.6922e-02 eta: 4 days, 5:00:29 time: 0.3974 data_time: 0.0136 memory: 13431 grad_norm: 2.6105 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.3312 loss: 3.3312 2022/08/13 13:27:44 - mmengine - INFO - Epoch(train) [15][400/3757] lr: 4.6992e-02 eta: 4 days, 4:59:47 time: 0.3943 data_time: 0.0141 memory: 13431 grad_norm: 2.6735 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4184 loss: 3.4184 2022/08/13 13:27:45 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 13:28:24 - mmengine - INFO - Epoch(train) [15][500/3757] lr: 4.7062e-02 eta: 4 days, 4:59:09 time: 0.3944 data_time: 0.0135 memory: 13431 grad_norm: 2.6301 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 3.1456 loss: 3.1456 2022/08/13 13:29:04 - mmengine - INFO - Epoch(train) [15][600/3757] lr: 4.7132e-02 eta: 4 days, 4:58:28 time: 0.3965 data_time: 0.0141 memory: 13431 grad_norm: 2.6991 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0728 loss: 3.0728 2022/08/13 13:29:44 - mmengine - INFO - Epoch(train) [15][700/3757] lr: 4.7202e-02 eta: 4 days, 4:57:46 time: 0.3953 data_time: 0.0133 memory: 13431 grad_norm: 2.6574 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4884 loss: 3.4884 2022/08/13 13:30:24 - mmengine - INFO - Epoch(train) [15][800/3757] lr: 4.7272e-02 eta: 4 days, 4:57:04 time: 0.3974 data_time: 0.0134 memory: 13431 grad_norm: 2.5952 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5314 loss: 3.5314 2022/08/13 13:31:04 - mmengine - INFO - Epoch(train) [15][900/3757] lr: 4.7341e-02 eta: 4 days, 4:56:26 time: 0.4027 data_time: 0.0136 memory: 13431 grad_norm: 2.6458 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.3947 loss: 3.3947 2022/08/13 13:31:44 - mmengine - INFO - Epoch(train) [15][1000/3757] lr: 4.7411e-02 eta: 4 days, 4:55:49 time: 0.3945 data_time: 0.0131 memory: 13431 grad_norm: 2.6699 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 3.3624 loss: 3.3624 2022/08/13 13:32:24 - mmengine - INFO - Epoch(train) [15][1100/3757] lr: 4.7481e-02 eta: 4 days, 4:55:05 time: 0.3937 data_time: 0.0143 memory: 13431 grad_norm: 2.6848 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.3785 loss: 3.3785 2022/08/13 13:33:04 - mmengine - INFO - Epoch(train) [15][1200/3757] lr: 4.7551e-02 eta: 4 days, 4:54:23 time: 0.4003 data_time: 0.0138 memory: 13431 grad_norm: 2.6196 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1453 loss: 3.1453 2022/08/13 13:33:44 - mmengine - INFO - Epoch(train) [15][1300/3757] lr: 4.7621e-02 eta: 4 days, 4:53:41 time: 0.4030 data_time: 0.0164 memory: 13431 grad_norm: 2.6389 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1290 loss: 3.1290 2022/08/13 13:34:24 - mmengine - INFO - Epoch(train) [15][1400/3757] lr: 4.7691e-02 eta: 4 days, 4:53:02 time: 0.4013 data_time: 0.0142 memory: 13431 grad_norm: 2.6523 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2325 loss: 3.2325 2022/08/13 13:34:25 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 13:35:05 - mmengine - INFO - Epoch(train) [15][1500/3757] lr: 4.7761e-02 eta: 4 days, 4:52:34 time: 0.4084 data_time: 0.0135 memory: 13431 grad_norm: 2.6581 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2624 loss: 3.2624 2022/08/13 13:35:45 - mmengine - INFO - Epoch(train) [15][1600/3757] lr: 4.7831e-02 eta: 4 days, 4:51:55 time: 0.4141 data_time: 0.0140 memory: 13431 grad_norm: 2.6660 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.2468 loss: 3.2468 2022/08/13 13:36:25 - mmengine - INFO - Epoch(train) [15][1700/3757] lr: 4.7901e-02 eta: 4 days, 4:51:16 time: 0.3999 data_time: 0.0134 memory: 13431 grad_norm: 2.6401 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0618 loss: 3.0618 2022/08/13 13:37:05 - mmengine - INFO - Epoch(train) [15][1800/3757] lr: 4.7971e-02 eta: 4 days, 4:50:38 time: 0.3970 data_time: 0.0134 memory: 13431 grad_norm: 2.6506 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2457 loss: 3.2457 2022/08/13 13:37:45 - mmengine - INFO - Epoch(train) [15][1900/3757] lr: 4.8041e-02 eta: 4 days, 4:49:57 time: 0.4006 data_time: 0.0138 memory: 13431 grad_norm: 2.6816 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3176 loss: 3.3176 2022/08/13 13:38:25 - mmengine - INFO - Epoch(train) [15][2000/3757] lr: 4.8111e-02 eta: 4 days, 4:49:19 time: 0.4020 data_time: 0.0135 memory: 13431 grad_norm: 2.5784 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.1721 loss: 3.1721 2022/08/13 13:39:05 - mmengine - INFO - Epoch(train) [15][2100/3757] lr: 4.8181e-02 eta: 4 days, 4:48:38 time: 0.3955 data_time: 0.0150 memory: 13431 grad_norm: 2.5512 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.4823 loss: 3.4823 2022/08/13 13:39:45 - mmengine - INFO - Epoch(train) [15][2200/3757] lr: 4.8251e-02 eta: 4 days, 4:47:57 time: 0.3952 data_time: 0.0139 memory: 13431 grad_norm: 2.5939 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1140 loss: 3.1140 2022/08/13 13:40:25 - mmengine - INFO - Epoch(train) [15][2300/3757] lr: 4.8321e-02 eta: 4 days, 4:47:23 time: 0.4062 data_time: 0.0132 memory: 13431 grad_norm: 2.6234 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1057 loss: 3.1057 2022/08/13 13:41:06 - mmengine - INFO - Epoch(train) [15][2400/3757] lr: 4.8391e-02 eta: 4 days, 4:46:49 time: 0.3961 data_time: 0.0141 memory: 13431 grad_norm: 2.6909 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1726 loss: 3.1726 2022/08/13 13:41:07 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 13:41:46 - mmengine - INFO - Epoch(train) [15][2500/3757] lr: 4.8460e-02 eta: 4 days, 4:46:08 time: 0.3976 data_time: 0.0137 memory: 13431 grad_norm: 2.6519 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0641 loss: 3.0641 2022/08/13 13:42:26 - mmengine - INFO - Epoch(train) [15][2600/3757] lr: 4.8530e-02 eta: 4 days, 4:45:28 time: 0.3975 data_time: 0.0154 memory: 13431 grad_norm: 2.6628 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0242 loss: 3.0242 2022/08/13 13:43:06 - mmengine - INFO - Epoch(train) [15][2700/3757] lr: 4.8600e-02 eta: 4 days, 4:44:47 time: 0.3949 data_time: 0.0139 memory: 13431 grad_norm: 2.5994 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0218 loss: 3.0218 2022/08/13 13:43:46 - mmengine - INFO - Epoch(train) [15][2800/3757] lr: 4.8670e-02 eta: 4 days, 4:44:11 time: 0.3938 data_time: 0.0138 memory: 13431 grad_norm: 2.5261 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1853 loss: 3.1853 2022/08/13 13:44:26 - mmengine - INFO - Epoch(train) [15][2900/3757] lr: 4.8740e-02 eta: 4 days, 4:43:29 time: 0.3949 data_time: 0.0134 memory: 13431 grad_norm: 2.6980 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2970 loss: 3.2970 2022/08/13 13:45:06 - mmengine - INFO - Epoch(train) [15][3000/3757] lr: 4.8810e-02 eta: 4 days, 4:42:55 time: 0.4034 data_time: 0.0144 memory: 13431 grad_norm: 2.6073 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.3100 loss: 3.3100 2022/08/13 13:45:47 - mmengine - INFO - Epoch(train) [15][3100/3757] lr: 4.8880e-02 eta: 4 days, 4:42:17 time: 0.3944 data_time: 0.0133 memory: 13431 grad_norm: 2.6529 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.7129 loss: 3.7129 2022/08/13 13:46:26 - mmengine - INFO - Epoch(train) [15][3200/3757] lr: 4.8950e-02 eta: 4 days, 4:41:34 time: 0.3949 data_time: 0.0142 memory: 13431 grad_norm: 2.6172 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3337 loss: 3.3337 2022/08/13 13:47:06 - mmengine - INFO - Epoch(train) [15][3300/3757] lr: 4.9020e-02 eta: 4 days, 4:40:50 time: 0.3973 data_time: 0.0156 memory: 13431 grad_norm: 2.6078 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.3923 loss: 3.3923 2022/08/13 13:47:46 - mmengine - INFO - Epoch(train) [15][3400/3757] lr: 4.9090e-02 eta: 4 days, 4:40:06 time: 0.3952 data_time: 0.0149 memory: 13431 grad_norm: 2.6930 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0999 loss: 3.0999 2022/08/13 13:47:47 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 13:48:26 - mmengine - INFO - Epoch(train) [15][3500/3757] lr: 4.9160e-02 eta: 4 days, 4:39:21 time: 0.3945 data_time: 0.0141 memory: 13431 grad_norm: 2.6895 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8796 loss: 2.8796 2022/08/13 13:49:05 - mmengine - INFO - Epoch(train) [15][3600/3757] lr: 4.9230e-02 eta: 4 days, 4:38:35 time: 0.3946 data_time: 0.0144 memory: 13431 grad_norm: 2.6569 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.3482 loss: 3.3482 2022/08/13 13:49:45 - mmengine - INFO - Epoch(train) [15][3700/3757] lr: 4.9300e-02 eta: 4 days, 4:37:55 time: 0.4062 data_time: 0.0137 memory: 13431 grad_norm: 2.7158 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2450 loss: 3.2450 2022/08/13 13:50:08 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 13:50:08 - mmengine - INFO - Epoch(train) [15][3757/3757] lr: 4.9340e-02 eta: 4 days, 4:37:41 time: 0.3830 data_time: 0.0134 memory: 13431 grad_norm: 2.6612 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 3.4464 loss: 3.4464 2022/08/13 13:50:30 - mmengine - INFO - Epoch(val) [15][100/310] eta: 0:00:44 time: 0.2116 data_time: 0.0802 memory: 1974 2022/08/13 13:50:52 - mmengine - INFO - Epoch(val) [15][200/310] eta: 0:00:21 time: 0.1934 data_time: 0.0655 memory: 1974 2022/08/13 13:51:12 - mmengine - INFO - Epoch(val) [15][300/310] eta: 0:00:02 time: 0.2065 data_time: 0.0724 memory: 1974 2022/08/13 13:51:18 - mmengine - INFO - Epoch(val) [15][310/310] acc/top1: 0.3406 acc/top5: 0.6194 acc/mean1: 0.3406 2022/08/13 13:51:18 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_11.pth is removed 2022/08/13 13:51:20 - mmengine - INFO - The best checkpoint with 0.3406 acc/top1 at 16 epoch is saved to best_acc/top1_epoch_16.pth. 2022/08/13 13:52:01 - mmengine - INFO - Epoch(train) [16][100/3757] lr: 4.9355e-02 eta: 4 days, 4:35:21 time: 0.3950 data_time: 0.0140 memory: 13431 grad_norm: 2.6228 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3229 loss: 3.3229 2022/08/13 13:52:41 - mmengine - INFO - Epoch(train) [16][200/3757] lr: 4.9425e-02 eta: 4 days, 4:34:39 time: 0.3961 data_time: 0.0156 memory: 13431 grad_norm: 2.6394 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1618 loss: 3.1618 2022/08/13 13:53:22 - mmengine - INFO - Epoch(train) [16][300/3757] lr: 4.9495e-02 eta: 4 days, 4:34:02 time: 0.3928 data_time: 0.0137 memory: 13431 grad_norm: 2.6278 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 3.0610 loss: 3.0610 2022/08/13 13:54:01 - mmengine - INFO - Epoch(train) [16][400/3757] lr: 4.9565e-02 eta: 4 days, 4:33:20 time: 0.3948 data_time: 0.0137 memory: 13431 grad_norm: 2.7276 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.3450 loss: 3.3450 2022/08/13 13:54:41 - mmengine - INFO - Epoch(train) [16][500/3757] lr: 4.9635e-02 eta: 4 days, 4:32:37 time: 0.3948 data_time: 0.0135 memory: 13431 grad_norm: 2.5614 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2136 loss: 3.2136 2022/08/13 13:55:22 - mmengine - INFO - Epoch(train) [16][600/3757] lr: 4.9705e-02 eta: 4 days, 4:32:05 time: 0.3978 data_time: 0.0133 memory: 13431 grad_norm: 2.5756 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.6554 loss: 3.6554 2022/08/13 13:55:40 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 13:56:02 - mmengine - INFO - Epoch(train) [16][700/3757] lr: 4.9775e-02 eta: 4 days, 4:31:30 time: 0.3949 data_time: 0.0141 memory: 13431 grad_norm: 2.6130 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.9911 loss: 2.9911 2022/08/13 13:56:42 - mmengine - INFO - Epoch(train) [16][800/3757] lr: 4.9845e-02 eta: 4 days, 4:30:48 time: 0.3946 data_time: 0.0135 memory: 13431 grad_norm: 2.6601 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1459 loss: 3.1459 2022/08/13 13:57:22 - mmengine - INFO - Epoch(train) [16][900/3757] lr: 4.9914e-02 eta: 4 days, 4:30:05 time: 0.3935 data_time: 0.0131 memory: 13431 grad_norm: 2.6989 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9523 loss: 2.9523 2022/08/13 13:58:02 - mmengine - INFO - Epoch(train) [16][1000/3757] lr: 4.9984e-02 eta: 4 days, 4:29:27 time: 0.4036 data_time: 0.0153 memory: 13431 grad_norm: 2.7174 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2882 loss: 3.2882 2022/08/13 13:58:42 - mmengine - INFO - Epoch(train) [16][1100/3757] lr: 5.0054e-02 eta: 4 days, 4:28:49 time: 0.3938 data_time: 0.0136 memory: 13431 grad_norm: 2.7532 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.3675 loss: 3.3675 2022/08/13 13:59:22 - mmengine - INFO - Epoch(train) [16][1200/3757] lr: 5.0124e-02 eta: 4 days, 4:28:06 time: 0.3931 data_time: 0.0131 memory: 13431 grad_norm: 2.6503 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9423 loss: 2.9423 2022/08/13 14:00:03 - mmengine - INFO - Epoch(train) [16][1300/3757] lr: 5.0194e-02 eta: 4 days, 4:27:35 time: 0.4027 data_time: 0.0145 memory: 13431 grad_norm: 2.6148 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.2110 loss: 3.2110 2022/08/13 14:00:43 - mmengine - INFO - Epoch(train) [16][1400/3757] lr: 5.0264e-02 eta: 4 days, 4:27:07 time: 0.3968 data_time: 0.0133 memory: 13431 grad_norm: 2.7140 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.0078 loss: 3.0078 2022/08/13 14:01:23 - mmengine - INFO - Epoch(train) [16][1500/3757] lr: 5.0334e-02 eta: 4 days, 4:26:27 time: 0.3957 data_time: 0.0134 memory: 13431 grad_norm: 2.6016 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.6363 loss: 3.6363 2022/08/13 14:02:03 - mmengine - INFO - Epoch(train) [16][1600/3757] lr: 5.0403e-02 eta: 4 days, 4:25:45 time: 0.3950 data_time: 0.0139 memory: 13431 grad_norm: 2.7749 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.6372 loss: 3.6372 2022/08/13 14:02:21 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 14:02:43 - mmengine - INFO - Epoch(train) [16][1700/3757] lr: 5.0473e-02 eta: 4 days, 4:25:08 time: 0.3944 data_time: 0.0134 memory: 13431 grad_norm: 2.6323 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1711 loss: 3.1711 2022/08/13 14:03:23 - mmengine - INFO - Epoch(train) [16][1800/3757] lr: 5.0543e-02 eta: 4 days, 4:24:27 time: 0.3934 data_time: 0.0127 memory: 13431 grad_norm: 2.5992 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1423 loss: 3.1423 2022/08/13 14:04:04 - mmengine - INFO - Epoch(train) [16][1900/3757] lr: 5.0613e-02 eta: 4 days, 4:23:48 time: 0.3946 data_time: 0.0131 memory: 13431 grad_norm: 2.6321 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2870 loss: 3.2870 2022/08/13 14:04:44 - mmengine - INFO - Epoch(train) [16][2000/3757] lr: 5.0683e-02 eta: 4 days, 4:23:18 time: 0.4058 data_time: 0.0137 memory: 13431 grad_norm: 2.5543 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0565 loss: 3.0565 2022/08/13 14:05:25 - mmengine - INFO - Epoch(train) [16][2100/3757] lr: 5.0753e-02 eta: 4 days, 4:22:43 time: 0.3938 data_time: 0.0136 memory: 13431 grad_norm: 2.6739 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.4020 loss: 3.4020 2022/08/13 14:06:05 - mmengine - INFO - Epoch(train) [16][2200/3757] lr: 5.0823e-02 eta: 4 days, 4:22:06 time: 0.3945 data_time: 0.0145 memory: 13431 grad_norm: 2.5622 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2105 loss: 3.2105 2022/08/13 14:06:45 - mmengine - INFO - Epoch(train) [16][2300/3757] lr: 5.0892e-02 eta: 4 days, 4:21:28 time: 0.3954 data_time: 0.0153 memory: 13431 grad_norm: 2.6679 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3329 loss: 3.3329 2022/08/13 14:07:26 - mmengine - INFO - Epoch(train) [16][2400/3757] lr: 5.0962e-02 eta: 4 days, 4:20:58 time: 0.3977 data_time: 0.0134 memory: 13431 grad_norm: 2.6487 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1163 loss: 3.1163 2022/08/13 14:08:06 - mmengine - INFO - Epoch(train) [16][2500/3757] lr: 5.1032e-02 eta: 4 days, 4:20:31 time: 0.4357 data_time: 0.0138 memory: 13431 grad_norm: 2.6343 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1782 loss: 3.1782 2022/08/13 14:08:47 - mmengine - INFO - Epoch(train) [16][2600/3757] lr: 5.1102e-02 eta: 4 days, 4:19:58 time: 0.4369 data_time: 0.0133 memory: 13431 grad_norm: 2.5918 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2215 loss: 3.2215 2022/08/13 14:09:05 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 14:09:27 - mmengine - INFO - Epoch(train) [16][2700/3757] lr: 5.1172e-02 eta: 4 days, 4:19:22 time: 0.3956 data_time: 0.0147 memory: 13431 grad_norm: 2.5880 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.3946 loss: 3.3946 2022/08/13 14:10:07 - mmengine - INFO - Epoch(train) [16][2800/3757] lr: 5.1242e-02 eta: 4 days, 4:18:43 time: 0.3966 data_time: 0.0132 memory: 13431 grad_norm: 2.5909 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.2695 loss: 3.2695 2022/08/13 14:10:47 - mmengine - INFO - Epoch(train) [16][2900/3757] lr: 5.1312e-02 eta: 4 days, 4:18:01 time: 0.3969 data_time: 0.0145 memory: 13431 grad_norm: 2.6538 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0217 loss: 3.0217 2022/08/13 14:11:27 - mmengine - INFO - Epoch(train) [16][3000/3757] lr: 5.1381e-02 eta: 4 days, 4:17:23 time: 0.3952 data_time: 0.0133 memory: 13431 grad_norm: 2.5923 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.3481 loss: 3.3481 2022/08/13 14:12:08 - mmengine - INFO - Epoch(train) [16][3100/3757] lr: 5.1451e-02 eta: 4 days, 4:16:44 time: 0.3954 data_time: 0.0136 memory: 13431 grad_norm: 2.6122 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0153 loss: 3.0153 2022/08/13 14:12:48 - mmengine - INFO - Epoch(train) [16][3200/3757] lr: 5.1521e-02 eta: 4 days, 4:16:04 time: 0.3937 data_time: 0.0142 memory: 13431 grad_norm: 2.6903 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0176 loss: 3.0176 2022/08/13 14:13:27 - mmengine - INFO - Epoch(train) [16][3300/3757] lr: 5.1591e-02 eta: 4 days, 4:15:23 time: 0.3987 data_time: 0.0141 memory: 13431 grad_norm: 2.6190 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0459 loss: 3.0459 2022/08/13 14:14:08 - mmengine - INFO - Epoch(train) [16][3400/3757] lr: 5.1661e-02 eta: 4 days, 4:14:48 time: 0.4029 data_time: 0.0147 memory: 13431 grad_norm: 2.6187 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.2554 loss: 3.2554 2022/08/13 14:14:48 - mmengine - INFO - Epoch(train) [16][3500/3757] lr: 5.1731e-02 eta: 4 days, 4:14:06 time: 0.3943 data_time: 0.0140 memory: 13431 grad_norm: 2.5859 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0739 loss: 3.0739 2022/08/13 14:15:28 - mmengine - INFO - Epoch(train) [16][3600/3757] lr: 5.1801e-02 eta: 4 days, 4:13:25 time: 0.4012 data_time: 0.0140 memory: 13431 grad_norm: 2.5473 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0207 loss: 3.0207 2022/08/13 14:15:46 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 14:16:08 - mmengine - INFO - Epoch(train) [16][3700/3757] lr: 5.1871e-02 eta: 4 days, 4:12:44 time: 0.3965 data_time: 0.0135 memory: 13431 grad_norm: 2.5951 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 3.1239 loss: 3.1239 2022/08/13 14:16:30 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 14:16:30 - mmengine - INFO - Epoch(train) [16][3757/3757] lr: 5.1910e-02 eta: 4 days, 4:12:31 time: 0.3807 data_time: 0.0132 memory: 13431 grad_norm: 2.6142 top1_acc: 0.0000 top5_acc: 0.4286 loss_cls: 3.2221 loss: 3.2221 2022/08/13 14:16:30 - mmengine - INFO - Saving checkpoint at 16 epochs 2022/08/13 14:17:16 - mmengine - INFO - Epoch(train) [17][100/3757] lr: 5.1919e-02 eta: 4 days, 4:10:21 time: 0.3931 data_time: 0.0136 memory: 13431 grad_norm: 2.6618 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8309 loss: 2.8309 2022/08/13 14:17:56 - mmengine - INFO - Epoch(train) [17][200/3757] lr: 5.1989e-02 eta: 4 days, 4:09:40 time: 0.3934 data_time: 0.0138 memory: 13431 grad_norm: 2.6595 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2765 loss: 3.2765 2022/08/13 14:18:37 - mmengine - INFO - Epoch(train) [17][300/3757] lr: 5.2059e-02 eta: 4 days, 4:09:05 time: 0.4098 data_time: 0.0147 memory: 13431 grad_norm: 2.6290 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3323 loss: 3.3323 2022/08/13 14:19:17 - mmengine - INFO - Epoch(train) [17][400/3757] lr: 5.2129e-02 eta: 4 days, 4:08:29 time: 0.4047 data_time: 0.0140 memory: 13431 grad_norm: 2.5962 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5530 loss: 3.5530 2022/08/13 14:19:57 - mmengine - INFO - Epoch(train) [17][500/3757] lr: 5.2199e-02 eta: 4 days, 4:07:45 time: 0.3959 data_time: 0.0131 memory: 13431 grad_norm: 2.7283 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.2538 loss: 3.2538 2022/08/13 14:20:37 - mmengine - INFO - Epoch(train) [17][600/3757] lr: 5.2268e-02 eta: 4 days, 4:07:05 time: 0.4017 data_time: 0.0137 memory: 13431 grad_norm: 2.6229 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2292 loss: 3.2292 2022/08/13 14:21:17 - mmengine - INFO - Epoch(train) [17][700/3757] lr: 5.2338e-02 eta: 4 days, 4:06:21 time: 0.3938 data_time: 0.0133 memory: 13431 grad_norm: 2.5735 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2577 loss: 3.2577 2022/08/13 14:21:57 - mmengine - INFO - Epoch(train) [17][800/3757] lr: 5.2408e-02 eta: 4 days, 4:05:42 time: 0.3995 data_time: 0.0144 memory: 13431 grad_norm: 2.5915 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3349 loss: 3.3349 2022/08/13 14:22:32 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 14:22:37 - mmengine - INFO - Epoch(train) [17][900/3757] lr: 5.2478e-02 eta: 4 days, 4:05:00 time: 0.3961 data_time: 0.0144 memory: 13431 grad_norm: 2.5851 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0844 loss: 3.0844 2022/08/13 14:23:17 - mmengine - INFO - Epoch(train) [17][1000/3757] lr: 5.2547e-02 eta: 4 days, 4:04:21 time: 0.4064 data_time: 0.0149 memory: 13431 grad_norm: 2.5476 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3456 loss: 3.3456 2022/08/13 14:23:57 - mmengine - INFO - Epoch(train) [17][1100/3757] lr: 5.2617e-02 eta: 4 days, 4:03:43 time: 0.4041 data_time: 0.0144 memory: 13431 grad_norm: 2.5839 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.9630 loss: 2.9630 2022/08/13 14:24:37 - mmengine - INFO - Epoch(train) [17][1200/3757] lr: 5.2687e-02 eta: 4 days, 4:03:01 time: 0.3954 data_time: 0.0137 memory: 13431 grad_norm: 2.5892 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9434 loss: 2.9434 2022/08/13 14:25:17 - mmengine - INFO - Epoch(train) [17][1300/3757] lr: 5.2757e-02 eta: 4 days, 4:02:25 time: 0.4116 data_time: 0.0153 memory: 13431 grad_norm: 2.5375 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1184 loss: 3.1184 2022/08/13 14:25:57 - mmengine - INFO - Epoch(train) [17][1400/3757] lr: 5.2827e-02 eta: 4 days, 4:01:47 time: 0.3997 data_time: 0.0139 memory: 13431 grad_norm: 2.6704 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 3.1642 loss: 3.1642 2022/08/13 14:26:37 - mmengine - INFO - Epoch(train) [17][1500/3757] lr: 5.2896e-02 eta: 4 days, 4:01:05 time: 0.3957 data_time: 0.0156 memory: 13431 grad_norm: 2.6849 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2200 loss: 3.2200 2022/08/13 14:27:17 - mmengine - INFO - Epoch(train) [17][1600/3757] lr: 5.2966e-02 eta: 4 days, 4:00:23 time: 0.3930 data_time: 0.0141 memory: 13431 grad_norm: 2.6594 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.0064 loss: 3.0064 2022/08/13 14:27:57 - mmengine - INFO - Epoch(train) [17][1700/3757] lr: 5.3036e-02 eta: 4 days, 3:59:49 time: 0.4042 data_time: 0.0145 memory: 13431 grad_norm: 2.6205 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0540 loss: 3.0540 2022/08/13 14:28:38 - mmengine - INFO - Epoch(train) [17][1800/3757] lr: 5.3106e-02 eta: 4 days, 3:59:12 time: 0.3935 data_time: 0.0137 memory: 13431 grad_norm: 2.6001 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 3.1410 loss: 3.1410 2022/08/13 14:29:13 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 14:29:17 - mmengine - INFO - Epoch(train) [17][1900/3757] lr: 5.3175e-02 eta: 4 days, 3:58:30 time: 0.3933 data_time: 0.0136 memory: 13431 grad_norm: 2.5887 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4427 loss: 3.4427 2022/08/13 14:29:58 - mmengine - INFO - Epoch(train) [17][2000/3757] lr: 5.3245e-02 eta: 4 days, 3:57:56 time: 0.3954 data_time: 0.0139 memory: 13431 grad_norm: 2.5880 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.1525 loss: 3.1525 2022/08/13 14:30:38 - mmengine - INFO - Epoch(train) [17][2100/3757] lr: 5.3315e-02 eta: 4 days, 3:57:18 time: 0.4004 data_time: 0.0152 memory: 13431 grad_norm: 2.6002 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1847 loss: 3.1847 2022/08/13 14:31:18 - mmengine - INFO - Epoch(train) [17][2200/3757] lr: 5.3385e-02 eta: 4 days, 3:56:41 time: 0.4092 data_time: 0.0136 memory: 13431 grad_norm: 2.5987 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.2228 loss: 3.2228 2022/08/13 14:31:58 - mmengine - INFO - Epoch(train) [17][2300/3757] lr: 5.3455e-02 eta: 4 days, 3:56:00 time: 0.4024 data_time: 0.0152 memory: 13431 grad_norm: 2.5861 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3318 loss: 3.3318 2022/08/13 14:32:38 - mmengine - INFO - Epoch(train) [17][2400/3757] lr: 5.3524e-02 eta: 4 days, 3:55:22 time: 0.4025 data_time: 0.0138 memory: 13431 grad_norm: 2.6366 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0510 loss: 3.0510 2022/08/13 14:33:18 - mmengine - INFO - Epoch(train) [17][2500/3757] lr: 5.3594e-02 eta: 4 days, 3:54:41 time: 0.4023 data_time: 0.0133 memory: 13431 grad_norm: 2.6236 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.2619 loss: 3.2619 2022/08/13 14:33:58 - mmengine - INFO - Epoch(train) [17][2600/3757] lr: 5.3664e-02 eta: 4 days, 3:54:02 time: 0.3980 data_time: 0.0141 memory: 13431 grad_norm: 2.5942 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0113 loss: 3.0113 2022/08/13 14:34:38 - mmengine - INFO - Epoch(train) [17][2700/3757] lr: 5.3734e-02 eta: 4 days, 3:53:21 time: 0.3986 data_time: 0.0137 memory: 13431 grad_norm: 2.6377 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 3.0553 loss: 3.0553 2022/08/13 14:35:18 - mmengine - INFO - Epoch(train) [17][2800/3757] lr: 5.3803e-02 eta: 4 days, 3:52:42 time: 0.4011 data_time: 0.0151 memory: 13431 grad_norm: 2.6655 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.4629 loss: 3.4629 2022/08/13 14:35:53 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 14:35:58 - mmengine - INFO - Epoch(train) [17][2900/3757] lr: 5.3873e-02 eta: 4 days, 3:52:00 time: 0.4025 data_time: 0.0140 memory: 13431 grad_norm: 2.6092 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4872 loss: 3.4872 2022/08/13 14:36:38 - mmengine - INFO - Epoch(train) [17][3000/3757] lr: 5.3943e-02 eta: 4 days, 3:51:15 time: 0.3997 data_time: 0.0146 memory: 13431 grad_norm: 2.5687 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2297 loss: 3.2297 2022/08/13 14:37:18 - mmengine - INFO - Epoch(train) [17][3100/3757] lr: 5.4013e-02 eta: 4 days, 3:50:39 time: 0.4086 data_time: 0.0179 memory: 13431 grad_norm: 2.6162 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3289 loss: 3.3289 2022/08/13 14:37:58 - mmengine - INFO - Epoch(train) [17][3200/3757] lr: 5.4083e-02 eta: 4 days, 3:49:57 time: 0.4073 data_time: 0.0166 memory: 13431 grad_norm: 2.5959 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.5517 loss: 3.5517 2022/08/13 14:38:38 - mmengine - INFO - Epoch(train) [17][3300/3757] lr: 5.4152e-02 eta: 4 days, 3:49:15 time: 0.4034 data_time: 0.0145 memory: 13431 grad_norm: 2.6456 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4367 loss: 3.4367 2022/08/13 14:39:18 - mmengine - INFO - Epoch(train) [17][3400/3757] lr: 5.4222e-02 eta: 4 days, 3:48:35 time: 0.4064 data_time: 0.0162 memory: 13431 grad_norm: 2.6413 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0219 loss: 3.0219 2022/08/13 14:39:58 - mmengine - INFO - Epoch(train) [17][3500/3757] lr: 5.4292e-02 eta: 4 days, 3:47:54 time: 0.4060 data_time: 0.0152 memory: 13431 grad_norm: 2.6186 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9754 loss: 2.9754 2022/08/13 14:40:38 - mmengine - INFO - Epoch(train) [17][3600/3757] lr: 5.4362e-02 eta: 4 days, 3:47:11 time: 0.3975 data_time: 0.0145 memory: 13431 grad_norm: 2.5623 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.4922 loss: 3.4922 2022/08/13 14:41:18 - mmengine - INFO - Epoch(train) [17][3700/3757] lr: 5.4431e-02 eta: 4 days, 3:46:32 time: 0.3953 data_time: 0.0137 memory: 13431 grad_norm: 2.5989 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2219 loss: 3.2219 2022/08/13 14:41:41 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 14:41:41 - mmengine - INFO - Epoch(train) [17][3757/3757] lr: 5.4471e-02 eta: 4 days, 3:46:17 time: 0.3833 data_time: 0.0130 memory: 13431 grad_norm: 2.7272 top1_acc: 0.1429 top5_acc: 0.2857 loss_cls: 3.1061 loss: 3.1061 2022/08/13 14:42:23 - mmengine - INFO - Epoch(train) [18][100/3757] lr: 5.4473e-02 eta: 4 days, 3:44:28 time: 0.3986 data_time: 0.0152 memory: 13431 grad_norm: 2.5910 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2589 loss: 3.2589 2022/08/13 14:42:36 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 14:43:03 - mmengine - INFO - Epoch(train) [18][200/3757] lr: 5.4543e-02 eta: 4 days, 3:43:50 time: 0.3946 data_time: 0.0134 memory: 13431 grad_norm: 2.6385 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1471 loss: 3.1471 2022/08/13 14:43:43 - mmengine - INFO - Epoch(train) [18][300/3757] lr: 5.4612e-02 eta: 4 days, 3:43:05 time: 0.3975 data_time: 0.0146 memory: 13431 grad_norm: 2.5951 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.0551 loss: 3.0551 2022/08/13 14:44:23 - mmengine - INFO - Epoch(train) [18][400/3757] lr: 5.4682e-02 eta: 4 days, 3:42:22 time: 0.3980 data_time: 0.0139 memory: 13431 grad_norm: 2.5885 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.1620 loss: 3.1620 2022/08/13 14:45:03 - mmengine - INFO - Epoch(train) [18][500/3757] lr: 5.4752e-02 eta: 4 days, 3:41:40 time: 0.3947 data_time: 0.0141 memory: 13431 grad_norm: 2.5838 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 3.0916 loss: 3.0916 2022/08/13 14:45:42 - mmengine - INFO - Epoch(train) [18][600/3757] lr: 5.4822e-02 eta: 4 days, 3:40:56 time: 0.4046 data_time: 0.0145 memory: 13431 grad_norm: 2.5684 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8833 loss: 2.8833 2022/08/13 14:46:22 - mmengine - INFO - Epoch(train) [18][700/3757] lr: 5.4891e-02 eta: 4 days, 3:40:12 time: 0.3969 data_time: 0.0152 memory: 13431 grad_norm: 2.6800 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2299 loss: 3.2299 2022/08/13 14:47:02 - mmengine - INFO - Epoch(train) [18][800/3757] lr: 5.4961e-02 eta: 4 days, 3:39:35 time: 0.3935 data_time: 0.0134 memory: 13431 grad_norm: 2.6450 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0566 loss: 3.0566 2022/08/13 14:47:42 - mmengine - INFO - Epoch(train) [18][900/3757] lr: 5.5031e-02 eta: 4 days, 3:38:55 time: 0.3961 data_time: 0.0133 memory: 13431 grad_norm: 2.5674 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0303 loss: 3.0303 2022/08/13 14:48:22 - mmengine - INFO - Epoch(train) [18][1000/3757] lr: 5.5100e-02 eta: 4 days, 3:38:14 time: 0.4003 data_time: 0.0148 memory: 13431 grad_norm: 2.6186 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1714 loss: 3.1714 2022/08/13 14:49:02 - mmengine - INFO - Epoch(train) [18][1100/3757] lr: 5.5170e-02 eta: 4 days, 3:37:32 time: 0.3961 data_time: 0.0144 memory: 13431 grad_norm: 2.5358 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.0901 loss: 3.0901 2022/08/13 14:49:15 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 14:49:42 - mmengine - INFO - Epoch(train) [18][1200/3757] lr: 5.5240e-02 eta: 4 days, 3:36:51 time: 0.4033 data_time: 0.0145 memory: 13431 grad_norm: 2.5713 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1782 loss: 3.1782 2022/08/13 14:50:22 - mmengine - INFO - Epoch(train) [18][1300/3757] lr: 5.5309e-02 eta: 4 days, 3:36:09 time: 0.3973 data_time: 0.0157 memory: 13431 grad_norm: 2.6605 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1981 loss: 3.1981 2022/08/13 14:51:02 - mmengine - INFO - Epoch(train) [18][1400/3757] lr: 5.5379e-02 eta: 4 days, 3:35:26 time: 0.3979 data_time: 0.0147 memory: 13431 grad_norm: 2.5528 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1288 loss: 3.1288 2022/08/13 14:51:42 - mmengine - INFO - Epoch(train) [18][1500/3757] lr: 5.5449e-02 eta: 4 days, 3:34:49 time: 0.3961 data_time: 0.0150 memory: 13431 grad_norm: 2.5338 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9730 loss: 2.9730 2022/08/13 14:52:22 - mmengine - INFO - Epoch(train) [18][1600/3757] lr: 5.5518e-02 eta: 4 days, 3:34:09 time: 0.3980 data_time: 0.0139 memory: 13431 grad_norm: 2.6754 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0459 loss: 3.0459 2022/08/13 14:53:02 - mmengine - INFO - Epoch(train) [18][1700/3757] lr: 5.5588e-02 eta: 4 days, 3:33:32 time: 0.3965 data_time: 0.0134 memory: 13431 grad_norm: 2.7054 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.9297 loss: 2.9297 2022/08/13 14:53:42 - mmengine - INFO - Epoch(train) [18][1800/3757] lr: 5.5658e-02 eta: 4 days, 3:32:47 time: 0.3952 data_time: 0.0135 memory: 13431 grad_norm: 2.5174 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.9749 loss: 2.9749 2022/08/13 14:54:21 - mmengine - INFO - Epoch(train) [18][1900/3757] lr: 5.5728e-02 eta: 4 days, 3:32:02 time: 0.3935 data_time: 0.0132 memory: 13431 grad_norm: 2.6212 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.3387 loss: 3.3387 2022/08/13 14:55:02 - mmengine - INFO - Epoch(train) [18][2000/3757] lr: 5.5797e-02 eta: 4 days, 3:31:23 time: 0.4058 data_time: 0.0143 memory: 13431 grad_norm: 2.6312 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1767 loss: 3.1767 2022/08/13 14:55:42 - mmengine - INFO - Epoch(train) [18][2100/3757] lr: 5.5867e-02 eta: 4 days, 3:30:44 time: 0.4100 data_time: 0.0152 memory: 13431 grad_norm: 2.6081 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.1038 loss: 3.1038 2022/08/13 14:55:54 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 14:56:22 - mmengine - INFO - Epoch(train) [18][2200/3757] lr: 5.5937e-02 eta: 4 days, 3:30:09 time: 0.4048 data_time: 0.0154 memory: 13431 grad_norm: 2.6433 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1814 loss: 3.1814 2022/08/13 14:57:02 - mmengine - INFO - Epoch(train) [18][2300/3757] lr: 5.6006e-02 eta: 4 days, 3:29:28 time: 0.3944 data_time: 0.0131 memory: 13431 grad_norm: 2.5990 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.3378 loss: 3.3378 2022/08/13 14:57:42 - mmengine - INFO - Epoch(train) [18][2400/3757] lr: 5.6076e-02 eta: 4 days, 3:28:49 time: 0.3950 data_time: 0.0135 memory: 13431 grad_norm: 2.5621 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9513 loss: 2.9513 2022/08/13 14:58:22 - mmengine - INFO - Epoch(train) [18][2500/3757] lr: 5.6146e-02 eta: 4 days, 3:28:09 time: 0.3970 data_time: 0.0151 memory: 13431 grad_norm: 2.4939 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1856 loss: 3.1856 2022/08/13 14:59:02 - mmengine - INFO - Epoch(train) [18][2600/3757] lr: 5.6215e-02 eta: 4 days, 3:27:30 time: 0.3974 data_time: 0.0130 memory: 13431 grad_norm: 2.6282 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3615 loss: 3.3615 2022/08/13 14:59:42 - mmengine - INFO - Epoch(train) [18][2700/3757] lr: 5.6285e-02 eta: 4 days, 3:26:52 time: 0.4020 data_time: 0.0166 memory: 13431 grad_norm: 2.5562 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0533 loss: 3.0533 2022/08/13 15:00:23 - mmengine - INFO - Epoch(train) [18][2800/3757] lr: 5.6355e-02 eta: 4 days, 3:26:13 time: 0.4108 data_time: 0.0153 memory: 13431 grad_norm: 2.4997 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0306 loss: 3.0306 2022/08/13 15:01:03 - mmengine - INFO - Epoch(train) [18][2900/3757] lr: 5.6424e-02 eta: 4 days, 3:25:38 time: 0.4064 data_time: 0.0138 memory: 13431 grad_norm: 2.6278 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4737 loss: 3.4737 2022/08/13 15:01:43 - mmengine - INFO - Epoch(train) [18][3000/3757] lr: 5.6494e-02 eta: 4 days, 3:24:57 time: 0.3972 data_time: 0.0141 memory: 13431 grad_norm: 2.5617 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1585 loss: 3.1585 2022/08/13 15:02:23 - mmengine - INFO - Epoch(train) [18][3100/3757] lr: 5.6564e-02 eta: 4 days, 3:24:13 time: 0.3996 data_time: 0.0165 memory: 13431 grad_norm: 2.6580 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4800 loss: 3.4800 2022/08/13 15:02:35 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 15:03:02 - mmengine - INFO - Epoch(train) [18][3200/3757] lr: 5.6634e-02 eta: 4 days, 3:23:32 time: 0.3990 data_time: 0.0141 memory: 13431 grad_norm: 2.5269 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.1099 loss: 3.1099 2022/08/13 15:03:43 - mmengine - INFO - Epoch(train) [18][3300/3757] lr: 5.6703e-02 eta: 4 days, 3:22:53 time: 0.4011 data_time: 0.0131 memory: 13431 grad_norm: 2.6210 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.8508 loss: 2.8508 2022/08/13 15:04:23 - mmengine - INFO - Epoch(train) [18][3400/3757] lr: 5.6773e-02 eta: 4 days, 3:22:13 time: 0.3936 data_time: 0.0138 memory: 13431 grad_norm: 2.6004 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1747 loss: 3.1747 2022/08/13 15:05:03 - mmengine - INFO - Epoch(train) [18][3500/3757] lr: 5.6843e-02 eta: 4 days, 3:21:33 time: 0.4084 data_time: 0.0147 memory: 13431 grad_norm: 2.5627 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2130 loss: 3.2130 2022/08/13 15:05:43 - mmengine - INFO - Epoch(train) [18][3600/3757] lr: 5.6912e-02 eta: 4 days, 3:20:57 time: 0.4007 data_time: 0.0150 memory: 13431 grad_norm: 2.5321 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2333 loss: 3.2333 2022/08/13 15:06:23 - mmengine - INFO - Epoch(train) [18][3700/3757] lr: 5.6982e-02 eta: 4 days, 3:20:17 time: 0.3969 data_time: 0.0147 memory: 13431 grad_norm: 2.6541 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5039 loss: 3.5039 2022/08/13 15:06:46 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 15:06:46 - mmengine - INFO - Epoch(train) [18][3757/3757] lr: 5.7022e-02 eta: 4 days, 3:20:03 time: 0.3820 data_time: 0.0129 memory: 13431 grad_norm: 2.6980 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 3.0073 loss: 3.0073 2022/08/13 15:07:28 - mmengine - INFO - Epoch(train) [19][100/3757] lr: 5.7016e-02 eta: 4 days, 3:18:16 time: 0.3960 data_time: 0.0136 memory: 13431 grad_norm: 2.6413 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.2120 loss: 3.2120 2022/08/13 15:08:08 - mmengine - INFO - Epoch(train) [19][200/3757] lr: 5.7086e-02 eta: 4 days, 3:17:35 time: 0.3951 data_time: 0.0138 memory: 13431 grad_norm: 2.5464 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0531 loss: 3.0531 2022/08/13 15:08:48 - mmengine - INFO - Epoch(train) [19][300/3757] lr: 5.7155e-02 eta: 4 days, 3:16:59 time: 0.3957 data_time: 0.0141 memory: 13431 grad_norm: 2.5838 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0391 loss: 3.0391 2022/08/13 15:09:19 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 15:09:29 - mmengine - INFO - Epoch(train) [19][400/3757] lr: 5.7225e-02 eta: 4 days, 3:16:29 time: 0.3952 data_time: 0.0135 memory: 13431 grad_norm: 2.5260 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0624 loss: 3.0624 2022/08/13 15:10:10 - mmengine - INFO - Epoch(train) [19][500/3757] lr: 5.7294e-02 eta: 4 days, 3:15:55 time: 0.4037 data_time: 0.0134 memory: 13431 grad_norm: 2.5887 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1472 loss: 3.1472 2022/08/13 15:10:50 - mmengine - INFO - Epoch(train) [19][600/3757] lr: 5.7364e-02 eta: 4 days, 3:15:18 time: 0.4030 data_time: 0.0142 memory: 13431 grad_norm: 2.5555 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.3449 loss: 3.3449 2022/08/13 15:11:29 - mmengine - INFO - Epoch(train) [19][700/3757] lr: 5.7434e-02 eta: 4 days, 3:14:33 time: 0.3949 data_time: 0.0136 memory: 13431 grad_norm: 2.5433 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.3225 loss: 3.3225 2022/08/13 15:12:10 - mmengine - INFO - Epoch(train) [19][800/3757] lr: 5.7503e-02 eta: 4 days, 3:14:04 time: 0.4032 data_time: 0.0171 memory: 13431 grad_norm: 2.6323 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.5559 loss: 3.5559 2022/08/13 15:12:50 - mmengine - INFO - Epoch(train) [19][900/3757] lr: 5.7573e-02 eta: 4 days, 3:13:25 time: 0.4095 data_time: 0.0154 memory: 13431 grad_norm: 2.5691 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.9668 loss: 2.9668 2022/08/13 15:13:30 - mmengine - INFO - Epoch(train) [19][1000/3757] lr: 5.7642e-02 eta: 4 days, 3:12:47 time: 0.4127 data_time: 0.0154 memory: 13431 grad_norm: 2.6233 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2986 loss: 3.2986 2022/08/13 15:14:11 - mmengine - INFO - Epoch(train) [19][1100/3757] lr: 5.7712e-02 eta: 4 days, 3:12:11 time: 0.4080 data_time: 0.0154 memory: 13431 grad_norm: 2.6048 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.1806 loss: 3.1806 2022/08/13 15:14:51 - mmengine - INFO - Epoch(train) [19][1200/3757] lr: 5.7782e-02 eta: 4 days, 3:11:36 time: 0.4042 data_time: 0.0146 memory: 13431 grad_norm: 2.5948 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3338 loss: 3.3338 2022/08/13 15:15:31 - mmengine - INFO - Epoch(train) [19][1300/3757] lr: 5.7851e-02 eta: 4 days, 3:10:57 time: 0.4015 data_time: 0.0150 memory: 13431 grad_norm: 2.5911 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2538 loss: 3.2538 2022/08/13 15:16:01 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 15:16:11 - mmengine - INFO - Epoch(train) [19][1400/3757] lr: 5.7921e-02 eta: 4 days, 3:10:17 time: 0.3998 data_time: 0.0169 memory: 13431 grad_norm: 2.5675 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9504 loss: 2.9504 2022/08/13 15:16:51 - mmengine - INFO - Epoch(train) [19][1500/3757] lr: 5.7990e-02 eta: 4 days, 3:09:37 time: 0.3998 data_time: 0.0151 memory: 13431 grad_norm: 2.5187 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3882 loss: 3.3882 2022/08/13 15:17:31 - mmengine - INFO - Epoch(train) [19][1600/3757] lr: 5.8060e-02 eta: 4 days, 3:08:55 time: 0.3958 data_time: 0.0147 memory: 13431 grad_norm: 2.5738 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8377 loss: 2.8377 2022/08/13 15:18:11 - mmengine - INFO - Epoch(train) [19][1700/3757] lr: 5.8130e-02 eta: 4 days, 3:08:16 time: 0.4021 data_time: 0.0146 memory: 13431 grad_norm: 2.5671 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.0613 loss: 3.0613 2022/08/13 15:18:51 - mmengine - INFO - Epoch(train) [19][1800/3757] lr: 5.8199e-02 eta: 4 days, 3:07:34 time: 0.3993 data_time: 0.0141 memory: 13431 grad_norm: 2.5880 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9713 loss: 2.9713 2022/08/13 15:19:32 - mmengine - INFO - Epoch(train) [19][1900/3757] lr: 5.8269e-02 eta: 4 days, 3:07:01 time: 0.4032 data_time: 0.0148 memory: 13431 grad_norm: 2.5351 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.1813 loss: 3.1813 2022/08/13 15:20:12 - mmengine - INFO - Epoch(train) [19][2000/3757] lr: 5.8338e-02 eta: 4 days, 3:06:22 time: 0.4072 data_time: 0.0156 memory: 13431 grad_norm: 2.6301 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.3541 loss: 3.3541 2022/08/13 15:20:52 - mmengine - INFO - Epoch(train) [19][2100/3757] lr: 5.8408e-02 eta: 4 days, 3:05:42 time: 0.4075 data_time: 0.0158 memory: 13431 grad_norm: 2.6023 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1212 loss: 3.1212 2022/08/13 15:21:32 - mmengine - INFO - Epoch(train) [19][2200/3757] lr: 5.8478e-02 eta: 4 days, 3:05:02 time: 0.4042 data_time: 0.0158 memory: 13431 grad_norm: 2.6135 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1042 loss: 3.1042 2022/08/13 15:22:12 - mmengine - INFO - Epoch(train) [19][2300/3757] lr: 5.8547e-02 eta: 4 days, 3:04:23 time: 0.4053 data_time: 0.0152 memory: 13431 grad_norm: 2.5558 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8556 loss: 2.8556 2022/08/13 15:22:41 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 15:22:52 - mmengine - INFO - Epoch(train) [19][2400/3757] lr: 5.8617e-02 eta: 4 days, 3:03:43 time: 0.4008 data_time: 0.0158 memory: 13431 grad_norm: 2.4848 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9708 loss: 2.9708 2022/08/13 15:23:32 - mmengine - INFO - Epoch(train) [19][2500/3757] lr: 5.8686e-02 eta: 4 days, 3:03:07 time: 0.4074 data_time: 0.0159 memory: 13431 grad_norm: 2.5093 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2701 loss: 3.2701 2022/08/13 15:24:13 - mmengine - INFO - Epoch(train) [19][2600/3757] lr: 5.8756e-02 eta: 4 days, 3:02:33 time: 0.4068 data_time: 0.0165 memory: 13431 grad_norm: 2.5593 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1493 loss: 3.1493 2022/08/13 15:24:53 - mmengine - INFO - Epoch(train) [19][2700/3757] lr: 5.8826e-02 eta: 4 days, 3:01:54 time: 0.3967 data_time: 0.0152 memory: 13431 grad_norm: 2.5341 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.2553 loss: 3.2553 2022/08/13 15:25:33 - mmengine - INFO - Epoch(train) [19][2800/3757] lr: 5.8895e-02 eta: 4 days, 3:01:13 time: 0.3957 data_time: 0.0143 memory: 13431 grad_norm: 2.5276 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2026 loss: 3.2026 2022/08/13 15:26:13 - mmengine - INFO - Epoch(train) [19][2900/3757] lr: 5.8965e-02 eta: 4 days, 3:00:33 time: 0.4071 data_time: 0.0144 memory: 13431 grad_norm: 2.5118 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9799 loss: 2.9799 2022/08/13 15:26:53 - mmengine - INFO - Epoch(train) [19][3000/3757] lr: 5.9034e-02 eta: 4 days, 2:59:51 time: 0.4000 data_time: 0.0148 memory: 13431 grad_norm: 2.5555 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0522 loss: 3.0522 2022/08/13 15:27:33 - mmengine - INFO - Epoch(train) [19][3100/3757] lr: 5.9104e-02 eta: 4 days, 2:59:10 time: 0.4019 data_time: 0.0159 memory: 13431 grad_norm: 2.5370 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0723 loss: 3.0723 2022/08/13 15:28:13 - mmengine - INFO - Epoch(train) [19][3200/3757] lr: 5.9174e-02 eta: 4 days, 2:58:28 time: 0.3989 data_time: 0.0154 memory: 13431 grad_norm: 2.5870 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1189 loss: 3.1189 2022/08/13 15:28:53 - mmengine - INFO - Epoch(train) [19][3300/3757] lr: 5.9243e-02 eta: 4 days, 2:57:57 time: 0.4117 data_time: 0.0150 memory: 13431 grad_norm: 2.5865 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2169 loss: 3.2169 2022/08/13 15:29:23 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 15:29:34 - mmengine - INFO - Epoch(train) [19][3400/3757] lr: 5.9313e-02 eta: 4 days, 2:57:20 time: 0.4111 data_time: 0.0160 memory: 13431 grad_norm: 2.5707 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1255 loss: 3.1255 2022/08/13 15:30:14 - mmengine - INFO - Epoch(train) [19][3500/3757] lr: 5.9382e-02 eta: 4 days, 2:56:41 time: 0.4016 data_time: 0.0140 memory: 13431 grad_norm: 2.5728 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.4632 loss: 3.4632 2022/08/13 15:30:54 - mmengine - INFO - Epoch(train) [19][3600/3757] lr: 5.9452e-02 eta: 4 days, 2:56:03 time: 0.4065 data_time: 0.0146 memory: 13431 grad_norm: 2.5840 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0116 loss: 3.0116 2022/08/13 15:31:34 - mmengine - INFO - Epoch(train) [19][3700/3757] lr: 5.9522e-02 eta: 4 days, 2:55:23 time: 0.4052 data_time: 0.0138 memory: 13431 grad_norm: 2.6463 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2647 loss: 3.2647 2022/08/13 15:31:56 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 15:31:56 - mmengine - INFO - Epoch(train) [19][3757/3757] lr: 5.9561e-02 eta: 4 days, 2:55:04 time: 0.3914 data_time: 0.0144 memory: 13431 grad_norm: 2.6013 top1_acc: 0.0000 top5_acc: 0.2857 loss_cls: 3.3622 loss: 3.3622 2022/08/13 15:32:39 - mmengine - INFO - Epoch(train) [20][100/3757] lr: 5.9548e-02 eta: 4 days, 2:53:25 time: 0.4052 data_time: 0.0150 memory: 13431 grad_norm: 2.5856 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2790 loss: 3.2790 2022/08/13 15:33:19 - mmengine - INFO - Epoch(train) [20][200/3757] lr: 5.9617e-02 eta: 4 days, 2:52:45 time: 0.4032 data_time: 0.0142 memory: 13431 grad_norm: 2.5359 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2280 loss: 3.2280 2022/08/13 15:33:59 - mmengine - INFO - Epoch(train) [20][300/3757] lr: 5.9687e-02 eta: 4 days, 2:52:10 time: 0.4036 data_time: 0.0143 memory: 13431 grad_norm: 2.5789 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3805 loss: 3.3805 2022/08/13 15:34:39 - mmengine - INFO - Epoch(train) [20][400/3757] lr: 5.9756e-02 eta: 4 days, 2:51:29 time: 0.4040 data_time: 0.0150 memory: 13431 grad_norm: 2.6573 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2381 loss: 3.2381 2022/08/13 15:35:19 - mmengine - INFO - Epoch(train) [20][500/3757] lr: 5.9826e-02 eta: 4 days, 2:50:46 time: 0.4015 data_time: 0.0160 memory: 13431 grad_norm: 2.5858 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0152 loss: 3.0152 2022/08/13 15:35:59 - mmengine - INFO - Epoch(train) [20][600/3757] lr: 5.9895e-02 eta: 4 days, 2:50:04 time: 0.4003 data_time: 0.0148 memory: 13431 grad_norm: 2.6044 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7523 loss: 2.7523 2022/08/13 15:36:06 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 15:36:39 - mmengine - INFO - Epoch(train) [20][700/3757] lr: 5.9965e-02 eta: 4 days, 2:49:24 time: 0.4041 data_time: 0.0157 memory: 13431 grad_norm: 2.5677 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.5574 loss: 3.5574 2022/08/13 15:37:19 - mmengine - INFO - Epoch(train) [20][800/3757] lr: 6.0034e-02 eta: 4 days, 2:48:44 time: 0.4096 data_time: 0.0164 memory: 13431 grad_norm: 2.5533 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3967 loss: 3.3967 2022/08/13 15:37:59 - mmengine - INFO - Epoch(train) [20][900/3757] lr: 6.0104e-02 eta: 4 days, 2:48:07 time: 0.4089 data_time: 0.0140 memory: 13431 grad_norm: 2.4755 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9402 loss: 2.9402 2022/08/13 15:38:40 - mmengine - INFO - Epoch(train) [20][1000/3757] lr: 6.0173e-02 eta: 4 days, 2:47:31 time: 0.4047 data_time: 0.0174 memory: 13431 grad_norm: 2.5672 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9830 loss: 2.9830 2022/08/13 15:39:19 - mmengine - INFO - Epoch(train) [20][1100/3757] lr: 6.0243e-02 eta: 4 days, 2:46:50 time: 0.4075 data_time: 0.0151 memory: 13431 grad_norm: 2.5217 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.3814 loss: 3.3814 2022/08/13 15:39:59 - mmengine - INFO - Epoch(train) [20][1200/3757] lr: 6.0312e-02 eta: 4 days, 2:46:10 time: 0.4062 data_time: 0.0157 memory: 13431 grad_norm: 2.5809 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0164 loss: 3.0164 2022/08/13 15:40:40 - mmengine - INFO - Epoch(train) [20][1300/3757] lr: 6.0382e-02 eta: 4 days, 2:45:32 time: 0.4141 data_time: 0.0140 memory: 13431 grad_norm: 2.5871 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.2076 loss: 3.2076 2022/08/13 15:41:20 - mmengine - INFO - Epoch(train) [20][1400/3757] lr: 6.0451e-02 eta: 4 days, 2:44:56 time: 0.4200 data_time: 0.0137 memory: 13431 grad_norm: 2.4433 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1443 loss: 3.1443 2022/08/13 15:42:00 - mmengine - INFO - Epoch(train) [20][1500/3757] lr: 6.0521e-02 eta: 4 days, 2:44:16 time: 0.3994 data_time: 0.0141 memory: 13431 grad_norm: 2.5310 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0698 loss: 3.0698 2022/08/13 15:42:41 - mmengine - INFO - Epoch(train) [20][1600/3757] lr: 6.0590e-02 eta: 4 days, 2:43:44 time: 0.4176 data_time: 0.0155 memory: 13431 grad_norm: 2.5278 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0244 loss: 3.0244 2022/08/13 15:42:47 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 15:43:21 - mmengine - INFO - Epoch(train) [20][1700/3757] lr: 6.0660e-02 eta: 4 days, 2:43:07 time: 0.4100 data_time: 0.0150 memory: 13431 grad_norm: 2.5916 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9277 loss: 2.9277 2022/08/13 15:44:01 - mmengine - INFO - Epoch(train) [20][1800/3757] lr: 6.0729e-02 eta: 4 days, 2:42:31 time: 0.3952 data_time: 0.0136 memory: 13431 grad_norm: 2.5305 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.4430 loss: 3.4430 2022/08/13 15:44:41 - mmengine - INFO - Epoch(train) [20][1900/3757] lr: 6.0799e-02 eta: 4 days, 2:41:51 time: 0.3965 data_time: 0.0140 memory: 13431 grad_norm: 2.5802 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0442 loss: 3.0442 2022/08/13 15:45:22 - mmengine - INFO - Epoch(train) [20][2000/3757] lr: 6.0868e-02 eta: 4 days, 2:41:15 time: 0.3936 data_time: 0.0141 memory: 13431 grad_norm: 2.4597 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2666 loss: 3.2666 2022/08/13 15:46:02 - mmengine - INFO - Epoch(train) [20][2100/3757] lr: 6.0938e-02 eta: 4 days, 2:40:34 time: 0.3944 data_time: 0.0132 memory: 13431 grad_norm: 2.6024 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0196 loss: 3.0196 2022/08/13 15:46:42 - mmengine - INFO - Epoch(train) [20][2200/3757] lr: 6.1007e-02 eta: 4 days, 2:39:55 time: 0.3954 data_time: 0.0140 memory: 13431 grad_norm: 2.5768 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.3086 loss: 3.3086 2022/08/13 15:47:22 - mmengine - INFO - Epoch(train) [20][2300/3757] lr: 6.1077e-02 eta: 4 days, 2:39:19 time: 0.4076 data_time: 0.0130 memory: 13431 grad_norm: 2.4527 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0933 loss: 3.0933 2022/08/13 15:48:02 - mmengine - INFO - Epoch(train) [20][2400/3757] lr: 6.1146e-02 eta: 4 days, 2:38:39 time: 0.4006 data_time: 0.0137 memory: 13431 grad_norm: 2.5023 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0469 loss: 3.0469 2022/08/13 15:48:42 - mmengine - INFO - Epoch(train) [20][2500/3757] lr: 6.1216e-02 eta: 4 days, 2:38:00 time: 0.3957 data_time: 0.0137 memory: 13431 grad_norm: 2.5482 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.4806 loss: 3.4806 2022/08/13 15:49:22 - mmengine - INFO - Epoch(train) [20][2600/3757] lr: 6.1285e-02 eta: 4 days, 2:37:19 time: 0.3931 data_time: 0.0137 memory: 13431 grad_norm: 2.6311 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9774 loss: 2.9774 2022/08/13 15:49:29 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 15:50:02 - mmengine - INFO - Epoch(train) [20][2700/3757] lr: 6.1355e-02 eta: 4 days, 2:36:37 time: 0.3954 data_time: 0.0152 memory: 13431 grad_norm: 2.5928 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.2335 loss: 3.2335 2022/08/13 15:50:42 - mmengine - INFO - Epoch(train) [20][2800/3757] lr: 6.1424e-02 eta: 4 days, 2:35:55 time: 0.3942 data_time: 0.0142 memory: 13431 grad_norm: 2.5179 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2591 loss: 3.2591 2022/08/13 15:51:22 - mmengine - INFO - Epoch(train) [20][2900/3757] lr: 6.1494e-02 eta: 4 days, 2:35:14 time: 0.3951 data_time: 0.0139 memory: 13431 grad_norm: 2.4964 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.3239 loss: 3.3239 2022/08/13 15:52:02 - mmengine - INFO - Epoch(train) [20][3000/3757] lr: 6.1563e-02 eta: 4 days, 2:34:38 time: 0.3994 data_time: 0.0141 memory: 13431 grad_norm: 2.6007 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0364 loss: 3.0364 2022/08/13 15:52:43 - mmengine - INFO - Epoch(train) [20][3100/3757] lr: 6.1633e-02 eta: 4 days, 2:34:05 time: 0.4075 data_time: 0.0142 memory: 13431 grad_norm: 2.5349 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 3.4971 loss: 3.4971 2022/08/13 15:53:23 - mmengine - INFO - Epoch(train) [20][3200/3757] lr: 6.1702e-02 eta: 4 days, 2:33:27 time: 0.3943 data_time: 0.0130 memory: 13431 grad_norm: 2.6124 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3091 loss: 3.3091 2022/08/13 15:54:03 - mmengine - INFO - Epoch(train) [20][3300/3757] lr: 6.1772e-02 eta: 4 days, 2:32:52 time: 0.3956 data_time: 0.0165 memory: 13431 grad_norm: 2.5921 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2453 loss: 3.2453 2022/08/13 15:54:44 - mmengine - INFO - Epoch(train) [20][3400/3757] lr: 6.1841e-02 eta: 4 days, 2:32:14 time: 0.3944 data_time: 0.0150 memory: 13431 grad_norm: 2.5595 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.3242 loss: 3.3242 2022/08/13 15:55:24 - mmengine - INFO - Epoch(train) [20][3500/3757] lr: 6.1911e-02 eta: 4 days, 2:31:39 time: 0.3958 data_time: 0.0137 memory: 13431 grad_norm: 2.5693 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9980 loss: 2.9980 2022/08/13 15:56:04 - mmengine - INFO - Epoch(train) [20][3600/3757] lr: 6.1980e-02 eta: 4 days, 2:31:03 time: 0.3957 data_time: 0.0149 memory: 13431 grad_norm: 2.6074 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0889 loss: 3.0889 2022/08/13 15:56:11 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 15:56:45 - mmengine - INFO - Epoch(train) [20][3700/3757] lr: 6.2050e-02 eta: 4 days, 2:30:28 time: 0.4030 data_time: 0.0157 memory: 13431 grad_norm: 2.4996 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0572 loss: 3.0572 2022/08/13 15:57:07 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 15:57:07 - mmengine - INFO - Epoch(train) [20][3757/3757] lr: 6.2089e-02 eta: 4 days, 2:30:11 time: 0.3917 data_time: 0.0144 memory: 13431 grad_norm: 2.6083 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 3.2412 loss: 3.2412 2022/08/13 15:57:07 - mmengine - INFO - Saving checkpoint at 20 epochs 2022/08/13 15:57:35 - mmengine - INFO - Epoch(val) [20][100/310] eta: 0:00:47 time: 0.2277 data_time: 0.0975 memory: 1974 2022/08/13 15:57:56 - mmengine - INFO - Epoch(val) [20][200/310] eta: 0:00:22 time: 0.2088 data_time: 0.0810 memory: 1974 2022/08/13 15:58:16 - mmengine - INFO - Epoch(val) [20][300/310] eta: 0:00:01 time: 0.1554 data_time: 0.0438 memory: 1974 2022/08/13 15:58:18 - mmengine - INFO - Epoch(val) [20][310/310] acc/top1: 0.3729 acc/top5: 0.6512 acc/mean1: 0.3727 2022/08/13 15:58:18 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_16.pth is removed 2022/08/13 15:58:21 - mmengine - INFO - The best checkpoint with 0.3729 acc/top1 at 21 epoch is saved to best_acc/top1_epoch_21.pth. 2022/08/13 15:59:02 - mmengine - INFO - Epoch(train) [21][100/3757] lr: 6.2067e-02 eta: 4 days, 2:28:14 time: 0.3989 data_time: 0.0134 memory: 13431 grad_norm: 2.5200 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.2193 loss: 3.2193 2022/08/13 15:59:42 - mmengine - INFO - Epoch(train) [21][200/3757] lr: 6.2137e-02 eta: 4 days, 2:27:35 time: 0.4023 data_time: 0.0143 memory: 13431 grad_norm: 2.5755 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0817 loss: 3.0817 2022/08/13 16:00:22 - mmengine - INFO - Epoch(train) [21][300/3757] lr: 6.2206e-02 eta: 4 days, 2:26:52 time: 0.3963 data_time: 0.0140 memory: 13431 grad_norm: 2.5653 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.2782 loss: 3.2782 2022/08/13 16:01:02 - mmengine - INFO - Epoch(train) [21][400/3757] lr: 6.2275e-02 eta: 4 days, 2:26:09 time: 0.3948 data_time: 0.0136 memory: 13431 grad_norm: 2.5254 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3862 loss: 3.3862 2022/08/13 16:01:41 - mmengine - INFO - Epoch(train) [21][500/3757] lr: 6.2345e-02 eta: 4 days, 2:25:26 time: 0.3966 data_time: 0.0160 memory: 13431 grad_norm: 2.6235 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0867 loss: 3.0867 2022/08/13 16:02:21 - mmengine - INFO - Epoch(train) [21][600/3757] lr: 6.2414e-02 eta: 4 days, 2:24:47 time: 0.3965 data_time: 0.0147 memory: 13431 grad_norm: 2.5981 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1902 loss: 3.1902 2022/08/13 16:03:02 - mmengine - INFO - Epoch(train) [21][700/3757] lr: 6.2484e-02 eta: 4 days, 2:24:10 time: 0.4080 data_time: 0.0152 memory: 13431 grad_norm: 2.5632 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1602 loss: 3.1602 2022/08/13 16:03:42 - mmengine - INFO - Epoch(train) [21][800/3757] lr: 6.2553e-02 eta: 4 days, 2:23:28 time: 0.3964 data_time: 0.0132 memory: 13431 grad_norm: 2.4770 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9011 loss: 2.9011 2022/08/13 16:04:06 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 16:04:22 - mmengine - INFO - Epoch(train) [21][900/3757] lr: 6.2622e-02 eta: 4 days, 2:22:49 time: 0.4043 data_time: 0.0146 memory: 13431 grad_norm: 2.4596 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9425 loss: 2.9425 2022/08/13 16:05:01 - mmengine - INFO - Epoch(train) [21][1000/3757] lr: 6.2692e-02 eta: 4 days, 2:22:06 time: 0.3969 data_time: 0.0153 memory: 13431 grad_norm: 2.5510 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9202 loss: 2.9202 2022/08/13 16:05:41 - mmengine - INFO - Epoch(train) [21][1100/3757] lr: 6.2761e-02 eta: 4 days, 2:21:22 time: 0.3969 data_time: 0.0144 memory: 13431 grad_norm: 2.6520 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1342 loss: 3.1342 2022/08/13 16:06:21 - mmengine - INFO - Epoch(train) [21][1200/3757] lr: 6.2831e-02 eta: 4 days, 2:20:39 time: 0.4014 data_time: 0.0152 memory: 13431 grad_norm: 2.5453 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8634 loss: 2.8634 2022/08/13 16:07:01 - mmengine - INFO - Epoch(train) [21][1300/3757] lr: 6.2900e-02 eta: 4 days, 2:20:00 time: 0.3945 data_time: 0.0134 memory: 13431 grad_norm: 2.4947 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9043 loss: 2.9043 2022/08/13 16:07:41 - mmengine - INFO - Epoch(train) [21][1400/3757] lr: 6.2969e-02 eta: 4 days, 2:19:22 time: 0.4054 data_time: 0.0149 memory: 13431 grad_norm: 2.5412 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7788 loss: 2.7788 2022/08/13 16:08:21 - mmengine - INFO - Epoch(train) [21][1500/3757] lr: 6.3039e-02 eta: 4 days, 2:18:40 time: 0.3985 data_time: 0.0151 memory: 13431 grad_norm: 2.6482 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 3.0641 loss: 3.0641 2022/08/13 16:09:01 - mmengine - INFO - Epoch(train) [21][1600/3757] lr: 6.3108e-02 eta: 4 days, 2:18:01 time: 0.4027 data_time: 0.0152 memory: 13431 grad_norm: 2.5159 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1393 loss: 3.1393 2022/08/13 16:09:41 - mmengine - INFO - Epoch(train) [21][1700/3757] lr: 6.3178e-02 eta: 4 days, 2:17:23 time: 0.4044 data_time: 0.0148 memory: 13431 grad_norm: 2.6062 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.4279 loss: 3.4279 2022/08/13 16:10:21 - mmengine - INFO - Epoch(train) [21][1800/3757] lr: 6.3247e-02 eta: 4 days, 2:16:43 time: 0.4060 data_time: 0.0158 memory: 13431 grad_norm: 2.5862 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1857 loss: 3.1857 2022/08/13 16:10:45 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 16:11:01 - mmengine - INFO - Epoch(train) [21][1900/3757] lr: 6.3316e-02 eta: 4 days, 2:16:00 time: 0.3925 data_time: 0.0136 memory: 13431 grad_norm: 2.5173 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0238 loss: 3.0238 2022/08/13 16:11:41 - mmengine - INFO - Epoch(train) [21][2000/3757] lr: 6.3386e-02 eta: 4 days, 2:15:22 time: 0.3983 data_time: 0.0155 memory: 13431 grad_norm: 2.4988 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.3442 loss: 3.3442 2022/08/13 16:12:21 - mmengine - INFO - Epoch(train) [21][2100/3757] lr: 6.3455e-02 eta: 4 days, 2:14:42 time: 0.4075 data_time: 0.0154 memory: 13431 grad_norm: 2.5643 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.4503 loss: 3.4503 2022/08/13 16:13:01 - mmengine - INFO - Epoch(train) [21][2200/3757] lr: 6.3525e-02 eta: 4 days, 2:14:00 time: 0.4002 data_time: 0.0147 memory: 13431 grad_norm: 2.4645 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0848 loss: 3.0848 2022/08/13 16:13:41 - mmengine - INFO - Epoch(train) [21][2300/3757] lr: 6.3594e-02 eta: 4 days, 2:13:18 time: 0.3974 data_time: 0.0143 memory: 13431 grad_norm: 2.4907 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2289 loss: 3.2289 2022/08/13 16:14:21 - mmengine - INFO - Epoch(train) [21][2400/3757] lr: 6.3663e-02 eta: 4 days, 2:12:36 time: 0.3993 data_time: 0.0149 memory: 13431 grad_norm: 2.5127 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9851 loss: 2.9851 2022/08/13 16:15:00 - mmengine - INFO - Epoch(train) [21][2500/3757] lr: 6.3733e-02 eta: 4 days, 2:11:52 time: 0.3967 data_time: 0.0152 memory: 13431 grad_norm: 2.5625 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1144 loss: 3.1144 2022/08/13 16:15:41 - mmengine - INFO - Epoch(train) [21][2600/3757] lr: 6.3802e-02 eta: 4 days, 2:11:13 time: 0.4073 data_time: 0.0154 memory: 13431 grad_norm: 2.5525 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.2073 loss: 3.2073 2022/08/13 16:16:21 - mmengine - INFO - Epoch(train) [21][2700/3757] lr: 6.3872e-02 eta: 4 days, 2:10:36 time: 0.3971 data_time: 0.0142 memory: 13431 grad_norm: 2.5576 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1878 loss: 3.1878 2022/08/13 16:17:03 - mmengine - INFO - Epoch(train) [21][2800/3757] lr: 6.3941e-02 eta: 4 days, 2:10:20 time: 0.4160 data_time: 0.0268 memory: 13431 grad_norm: 2.5358 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1965 loss: 3.1965 2022/08/13 16:17:29 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 16:17:52 - mmengine - INFO - Epoch(train) [21][2900/3757] lr: 6.4010e-02 eta: 4 days, 2:11:20 time: 0.3975 data_time: 0.0138 memory: 13431 grad_norm: 2.4961 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1535 loss: 3.1535 2022/08/13 16:18:34 - mmengine - INFO - Epoch(train) [21][3000/3757] lr: 6.4080e-02 eta: 4 days, 2:11:10 time: 0.3944 data_time: 0.0145 memory: 13431 grad_norm: 2.5730 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0997 loss: 3.0997 2022/08/13 16:19:15 - mmengine - INFO - Epoch(train) [21][3100/3757] lr: 6.4149e-02 eta: 4 days, 2:10:32 time: 0.4061 data_time: 0.0156 memory: 13431 grad_norm: 2.4154 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9117 loss: 2.9117 2022/08/13 16:20:02 - mmengine - INFO - Epoch(train) [21][3200/3757] lr: 6.4219e-02 eta: 4 days, 2:11:17 time: 0.5820 data_time: 0.0142 memory: 13431 grad_norm: 2.5449 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.2397 loss: 3.2397 2022/08/13 16:20:48 - mmengine - INFO - Epoch(train) [21][3300/3757] lr: 6.4288e-02 eta: 4 days, 2:11:39 time: 0.4145 data_time: 0.0199 memory: 13431 grad_norm: 2.4921 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8391 loss: 2.8391 2022/08/13 16:21:28 - mmengine - INFO - Epoch(train) [21][3400/3757] lr: 6.4357e-02 eta: 4 days, 2:11:04 time: 0.3962 data_time: 0.0148 memory: 13431 grad_norm: 2.5463 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1462 loss: 3.1462 2022/08/13 16:22:08 - mmengine - INFO - Epoch(train) [21][3500/3757] lr: 6.4427e-02 eta: 4 days, 2:10:24 time: 0.4043 data_time: 0.0137 memory: 13431 grad_norm: 2.5089 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5380 loss: 3.5380 2022/08/13 16:22:48 - mmengine - INFO - Epoch(train) [21][3600/3757] lr: 6.4496e-02 eta: 4 days, 2:09:45 time: 0.3947 data_time: 0.0135 memory: 13431 grad_norm: 2.4956 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0848 loss: 3.0848 2022/08/13 16:23:28 - mmengine - INFO - Epoch(train) [21][3700/3757] lr: 6.4566e-02 eta: 4 days, 2:09:03 time: 0.3954 data_time: 0.0141 memory: 13431 grad_norm: 2.4890 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.1676 loss: 3.1676 2022/08/13 16:23:51 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 16:23:51 - mmengine - INFO - Epoch(train) [21][3757/3757] lr: 6.4605e-02 eta: 4 days, 2:08:50 time: 0.3819 data_time: 0.0132 memory: 13431 grad_norm: 2.5473 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.9835 loss: 2.9835 2022/08/13 16:24:33 - mmengine - INFO - Epoch(train) [22][100/3757] lr: 6.4574e-02 eta: 4 days, 2:07:10 time: 0.3985 data_time: 0.0149 memory: 13431 grad_norm: 2.6157 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9360 loss: 2.9360 2022/08/13 16:24:35 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 16:25:13 - mmengine - INFO - Epoch(train) [22][200/3757] lr: 6.4644e-02 eta: 4 days, 2:06:29 time: 0.4011 data_time: 0.0140 memory: 13431 grad_norm: 2.5350 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0553 loss: 3.0553 2022/08/13 16:25:54 - mmengine - INFO - Epoch(train) [22][300/3757] lr: 6.4713e-02 eta: 4 days, 2:05:52 time: 0.4032 data_time: 0.0142 memory: 13431 grad_norm: 2.5479 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1442 loss: 3.1442 2022/08/13 16:26:34 - mmengine - INFO - Epoch(train) [22][400/3757] lr: 6.4782e-02 eta: 4 days, 2:05:14 time: 0.3936 data_time: 0.0127 memory: 13431 grad_norm: 2.5520 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9366 loss: 2.9366 2022/08/13 16:27:14 - mmengine - INFO - Epoch(train) [22][500/3757] lr: 6.4851e-02 eta: 4 days, 2:04:37 time: 0.3950 data_time: 0.0136 memory: 13431 grad_norm: 2.4923 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0057 loss: 3.0057 2022/08/13 16:27:54 - mmengine - INFO - Epoch(train) [22][600/3757] lr: 6.4921e-02 eta: 4 days, 2:03:58 time: 0.3943 data_time: 0.0133 memory: 13431 grad_norm: 2.5434 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9479 loss: 2.9479 2022/08/13 16:28:34 - mmengine - INFO - Epoch(train) [22][700/3757] lr: 6.4990e-02 eta: 4 days, 2:03:16 time: 0.4041 data_time: 0.0141 memory: 13431 grad_norm: 2.5317 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0905 loss: 3.0905 2022/08/13 16:29:14 - mmengine - INFO - Epoch(train) [22][800/3757] lr: 6.5059e-02 eta: 4 days, 2:02:38 time: 0.4078 data_time: 0.0162 memory: 13431 grad_norm: 2.5285 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.0172 loss: 3.0172 2022/08/13 16:29:55 - mmengine - INFO - Epoch(train) [22][900/3757] lr: 6.5129e-02 eta: 4 days, 2:02:00 time: 0.4028 data_time: 0.0153 memory: 13431 grad_norm: 2.6010 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8479 loss: 2.8479 2022/08/13 16:30:35 - mmengine - INFO - Epoch(train) [22][1000/3757] lr: 6.5198e-02 eta: 4 days, 2:01:22 time: 0.4041 data_time: 0.0137 memory: 13431 grad_norm: 2.6136 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2470 loss: 3.2470 2022/08/13 16:31:15 - mmengine - INFO - Epoch(train) [22][1100/3757] lr: 6.5267e-02 eta: 4 days, 2:00:46 time: 0.3978 data_time: 0.0138 memory: 13431 grad_norm: 2.5122 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.3859 loss: 3.3859 2022/08/13 16:31:16 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 16:31:55 - mmengine - INFO - Epoch(train) [22][1200/3757] lr: 6.5337e-02 eta: 4 days, 2:00:07 time: 0.3971 data_time: 0.0149 memory: 13431 grad_norm: 2.5015 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2029 loss: 3.2029 2022/08/13 16:32:35 - mmengine - INFO - Epoch(train) [22][1300/3757] lr: 6.5406e-02 eta: 4 days, 1:59:25 time: 0.3986 data_time: 0.0149 memory: 13431 grad_norm: 2.5650 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0518 loss: 3.0518 2022/08/13 16:33:15 - mmengine - INFO - Epoch(train) [22][1400/3757] lr: 6.5475e-02 eta: 4 days, 1:58:43 time: 0.3951 data_time: 0.0136 memory: 13431 grad_norm: 2.5207 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8581 loss: 2.8581 2022/08/13 16:33:55 - mmengine - INFO - Epoch(train) [22][1500/3757] lr: 6.5544e-02 eta: 4 days, 1:58:05 time: 0.4111 data_time: 0.0142 memory: 13431 grad_norm: 2.5185 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1609 loss: 3.1609 2022/08/13 16:34:35 - mmengine - INFO - Epoch(train) [22][1600/3757] lr: 6.5614e-02 eta: 4 days, 1:57:25 time: 0.4070 data_time: 0.0157 memory: 13431 grad_norm: 2.4562 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1839 loss: 3.1839 2022/08/13 16:35:16 - mmengine - INFO - Epoch(train) [22][1700/3757] lr: 6.5683e-02 eta: 4 days, 1:56:46 time: 0.3968 data_time: 0.0142 memory: 13431 grad_norm: 2.5902 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1520 loss: 3.1520 2022/08/13 16:35:56 - mmengine - INFO - Epoch(train) [22][1800/3757] lr: 6.5752e-02 eta: 4 days, 1:56:12 time: 0.3947 data_time: 0.0145 memory: 13431 grad_norm: 2.5213 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8091 loss: 2.8091 2022/08/13 16:36:36 - mmengine - INFO - Epoch(train) [22][1900/3757] lr: 6.5822e-02 eta: 4 days, 1:55:32 time: 0.3971 data_time: 0.0147 memory: 13431 grad_norm: 2.5082 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9950 loss: 2.9950 2022/08/13 16:37:16 - mmengine - INFO - Epoch(train) [22][2000/3757] lr: 6.5891e-02 eta: 4 days, 1:54:50 time: 0.3965 data_time: 0.0137 memory: 13431 grad_norm: 2.4855 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6768 loss: 2.6768 2022/08/13 16:37:56 - mmengine - INFO - Epoch(train) [22][2100/3757] lr: 6.5960e-02 eta: 4 days, 1:54:07 time: 0.3949 data_time: 0.0139 memory: 13431 grad_norm: 2.4783 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1841 loss: 3.1841 2022/08/13 16:37:57 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 16:38:36 - mmengine - INFO - Epoch(train) [22][2200/3757] lr: 6.6029e-02 eta: 4 days, 1:53:24 time: 0.3954 data_time: 0.0148 memory: 13431 grad_norm: 2.5795 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 3.0019 loss: 3.0019 2022/08/13 16:39:16 - mmengine - INFO - Epoch(train) [22][2300/3757] lr: 6.6099e-02 eta: 4 days, 1:52:44 time: 0.3963 data_time: 0.0147 memory: 13431 grad_norm: 2.4781 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 3.0751 loss: 3.0751 2022/08/13 16:39:55 - mmengine - INFO - Epoch(train) [22][2400/3757] lr: 6.6168e-02 eta: 4 days, 1:52:02 time: 0.3973 data_time: 0.0140 memory: 13431 grad_norm: 2.5287 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9320 loss: 2.9320 2022/08/13 16:40:36 - mmengine - INFO - Epoch(train) [22][2500/3757] lr: 6.6237e-02 eta: 4 days, 1:51:23 time: 0.3968 data_time: 0.0139 memory: 13431 grad_norm: 2.4253 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1519 loss: 3.1519 2022/08/13 16:41:16 - mmengine - INFO - Epoch(train) [22][2600/3757] lr: 6.6307e-02 eta: 4 days, 1:50:42 time: 0.3957 data_time: 0.0141 memory: 13431 grad_norm: 2.5489 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1682 loss: 3.1682 2022/08/13 16:41:55 - mmengine - INFO - Epoch(train) [22][2700/3757] lr: 6.6376e-02 eta: 4 days, 1:49:57 time: 0.3949 data_time: 0.0134 memory: 13431 grad_norm: 2.5500 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.7218 loss: 2.7218 2022/08/13 16:42:35 - mmengine - INFO - Epoch(train) [22][2800/3757] lr: 6.6445e-02 eta: 4 days, 1:49:15 time: 0.3940 data_time: 0.0137 memory: 13431 grad_norm: 2.4805 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0830 loss: 3.0830 2022/08/13 16:43:15 - mmengine - INFO - Epoch(train) [22][2900/3757] lr: 6.6515e-02 eta: 4 days, 1:48:34 time: 0.4012 data_time: 0.0147 memory: 13431 grad_norm: 2.5164 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7876 loss: 2.7876 2022/08/13 16:43:55 - mmengine - INFO - Epoch(train) [22][3000/3757] lr: 6.6584e-02 eta: 4 days, 1:47:55 time: 0.4018 data_time: 0.0161 memory: 13431 grad_norm: 2.4310 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1956 loss: 3.1956 2022/08/13 16:44:35 - mmengine - INFO - Epoch(train) [22][3100/3757] lr: 6.6653e-02 eta: 4 days, 1:47:15 time: 0.4010 data_time: 0.0145 memory: 13431 grad_norm: 2.5527 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0905 loss: 3.0905 2022/08/13 16:44:36 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 16:45:15 - mmengine - INFO - Epoch(train) [22][3200/3757] lr: 6.6722e-02 eta: 4 days, 1:46:36 time: 0.3947 data_time: 0.0161 memory: 13431 grad_norm: 2.5201 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1259 loss: 3.1259 2022/08/13 16:45:55 - mmengine - INFO - Epoch(train) [22][3300/3757] lr: 6.6792e-02 eta: 4 days, 1:45:54 time: 0.3964 data_time: 0.0135 memory: 13431 grad_norm: 2.4836 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1657 loss: 3.1657 2022/08/13 16:46:35 - mmengine - INFO - Epoch(train) [22][3400/3757] lr: 6.6861e-02 eta: 4 days, 1:45:12 time: 0.4023 data_time: 0.0164 memory: 13431 grad_norm: 2.5342 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8836 loss: 2.8836 2022/08/13 16:47:15 - mmengine - INFO - Epoch(train) [22][3500/3757] lr: 6.6930e-02 eta: 4 days, 1:44:36 time: 0.3959 data_time: 0.0138 memory: 13431 grad_norm: 2.5075 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2717 loss: 3.2717 2022/08/13 16:47:55 - mmengine - INFO - Epoch(train) [22][3600/3757] lr: 6.7000e-02 eta: 4 days, 1:43:54 time: 0.4048 data_time: 0.0145 memory: 13431 grad_norm: 2.5663 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3683 loss: 3.3683 2022/08/13 16:48:36 - mmengine - INFO - Epoch(train) [22][3700/3757] lr: 6.7069e-02 eta: 4 days, 1:43:20 time: 0.4052 data_time: 0.0142 memory: 13431 grad_norm: 2.4882 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0008 loss: 3.0008 2022/08/13 16:48:59 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 16:48:59 - mmengine - INFO - Epoch(train) [22][3757/3757] lr: 6.7108e-02 eta: 4 days, 1:43:06 time: 0.3818 data_time: 0.0128 memory: 13431 grad_norm: 2.5196 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 2.5820 loss: 2.5820 2022/08/13 16:49:41 - mmengine - INFO - Epoch(train) [23][100/3757] lr: 6.7068e-02 eta: 4 days, 1:41:32 time: 0.4060 data_time: 0.0149 memory: 13431 grad_norm: 2.5810 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2463 loss: 3.2463 2022/08/13 16:50:21 - mmengine - INFO - Epoch(train) [23][200/3757] lr: 6.7138e-02 eta: 4 days, 1:40:53 time: 0.4023 data_time: 0.0151 memory: 13431 grad_norm: 2.5551 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0021 loss: 3.0021 2022/08/13 16:51:02 - mmengine - INFO - Epoch(train) [23][300/3757] lr: 6.7207e-02 eta: 4 days, 1:40:22 time: 0.4514 data_time: 0.0177 memory: 13431 grad_norm: 2.4971 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.9265 loss: 2.9265 2022/08/13 16:51:21 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 16:51:42 - mmengine - INFO - Epoch(train) [23][400/3757] lr: 6.7276e-02 eta: 4 days, 1:39:44 time: 0.4047 data_time: 0.0148 memory: 13431 grad_norm: 2.5421 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9279 loss: 2.9279 2022/08/13 16:52:22 - mmengine - INFO - Epoch(train) [23][500/3757] lr: 6.7345e-02 eta: 4 days, 1:39:05 time: 0.4079 data_time: 0.0147 memory: 13431 grad_norm: 2.5300 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2211 loss: 3.2211 2022/08/13 16:53:03 - mmengine - INFO - Epoch(train) [23][600/3757] lr: 6.7414e-02 eta: 4 days, 1:38:35 time: 0.4267 data_time: 0.0170 memory: 13431 grad_norm: 2.5222 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8653 loss: 2.8653 2022/08/13 16:53:44 - mmengine - INFO - Epoch(train) [23][700/3757] lr: 6.7483e-02 eta: 4 days, 1:38:00 time: 0.4118 data_time: 0.0145 memory: 13431 grad_norm: 2.4879 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8443 loss: 2.8443 2022/08/13 16:54:25 - mmengine - INFO - Epoch(train) [23][800/3757] lr: 6.7553e-02 eta: 4 days, 1:37:27 time: 0.4109 data_time: 0.0159 memory: 13431 grad_norm: 2.4256 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.1385 loss: 3.1385 2022/08/13 16:55:05 - mmengine - INFO - Epoch(train) [23][900/3757] lr: 6.7622e-02 eta: 4 days, 1:36:52 time: 0.3955 data_time: 0.0141 memory: 13431 grad_norm: 2.4445 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2311 loss: 3.2311 2022/08/13 16:55:45 - mmengine - INFO - Epoch(train) [23][1000/3757] lr: 6.7691e-02 eta: 4 days, 1:36:11 time: 0.3950 data_time: 0.0134 memory: 13431 grad_norm: 2.5067 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0709 loss: 3.0709 2022/08/13 16:56:25 - mmengine - INFO - Epoch(train) [23][1100/3757] lr: 6.7760e-02 eta: 4 days, 1:35:30 time: 0.3985 data_time: 0.0144 memory: 13431 grad_norm: 2.5590 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1455 loss: 3.1455 2022/08/13 16:57:07 - mmengine - INFO - Epoch(train) [23][1200/3757] lr: 6.7829e-02 eta: 4 days, 1:35:05 time: 0.3970 data_time: 0.0137 memory: 13431 grad_norm: 2.4433 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1639 loss: 3.1639 2022/08/13 16:57:47 - mmengine - INFO - Epoch(train) [23][1300/3757] lr: 6.7899e-02 eta: 4 days, 1:34:24 time: 0.3968 data_time: 0.0148 memory: 13431 grad_norm: 2.4159 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9928 loss: 2.9928 2022/08/13 16:58:06 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 16:58:29 - mmengine - INFO - Epoch(train) [23][1400/3757] lr: 6.7968e-02 eta: 4 days, 1:34:06 time: 0.3991 data_time: 0.0140 memory: 13431 grad_norm: 2.4342 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8354 loss: 2.8354 2022/08/13 16:59:10 - mmengine - INFO - Epoch(train) [23][1500/3757] lr: 6.8037e-02 eta: 4 days, 1:33:34 time: 0.3983 data_time: 0.0141 memory: 13431 grad_norm: 2.4799 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8026 loss: 2.8026 2022/08/13 16:59:50 - mmengine - INFO - Epoch(train) [23][1600/3757] lr: 6.8106e-02 eta: 4 days, 1:33:03 time: 0.4081 data_time: 0.0136 memory: 13431 grad_norm: 2.5238 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9010 loss: 2.9010 2022/08/13 17:00:30 - mmengine - INFO - Epoch(train) [23][1700/3757] lr: 6.8175e-02 eta: 4 days, 1:32:20 time: 0.4008 data_time: 0.0131 memory: 13431 grad_norm: 2.5407 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.2316 loss: 3.2316 2022/08/13 17:01:10 - mmengine - INFO - Epoch(train) [23][1800/3757] lr: 6.8244e-02 eta: 4 days, 1:31:42 time: 0.4058 data_time: 0.0136 memory: 13431 grad_norm: 2.4592 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2137 loss: 3.2137 2022/08/13 17:01:50 - mmengine - INFO - Epoch(train) [23][1900/3757] lr: 6.8314e-02 eta: 4 days, 1:30:59 time: 0.3962 data_time: 0.0142 memory: 13431 grad_norm: 2.5814 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2406 loss: 3.2406 2022/08/13 17:02:30 - mmengine - INFO - Epoch(train) [23][2000/3757] lr: 6.8383e-02 eta: 4 days, 1:30:16 time: 0.3956 data_time: 0.0137 memory: 13431 grad_norm: 2.5287 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9686 loss: 2.9686 2022/08/13 17:03:10 - mmengine - INFO - Epoch(train) [23][2100/3757] lr: 6.8452e-02 eta: 4 days, 1:29:38 time: 0.4037 data_time: 0.0137 memory: 13431 grad_norm: 2.5587 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3170 loss: 3.3170 2022/08/13 17:03:53 - mmengine - INFO - Epoch(train) [23][2200/3757] lr: 6.8521e-02 eta: 4 days, 1:29:25 time: 0.4050 data_time: 0.0142 memory: 13431 grad_norm: 2.4583 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9097 loss: 2.9097 2022/08/13 17:04:33 - mmengine - INFO - Epoch(train) [23][2300/3757] lr: 6.8590e-02 eta: 4 days, 1:28:46 time: 0.3967 data_time: 0.0142 memory: 13431 grad_norm: 2.5022 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1734 loss: 3.1734 2022/08/13 17:04:51 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 17:05:13 - mmengine - INFO - Epoch(train) [23][2400/3757] lr: 6.8660e-02 eta: 4 days, 1:28:08 time: 0.4194 data_time: 0.0156 memory: 13431 grad_norm: 2.6013 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1195 loss: 3.1195 2022/08/13 17:05:54 - mmengine - INFO - Epoch(train) [23][2500/3757] lr: 6.8729e-02 eta: 4 days, 1:27:30 time: 0.4012 data_time: 0.0135 memory: 13431 grad_norm: 2.4719 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1140 loss: 3.1140 2022/08/13 17:06:34 - mmengine - INFO - Epoch(train) [23][2600/3757] lr: 6.8798e-02 eta: 4 days, 1:26:50 time: 0.4015 data_time: 0.0143 memory: 13431 grad_norm: 2.5454 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2224 loss: 3.2224 2022/08/13 17:07:14 - mmengine - INFO - Epoch(train) [23][2700/3757] lr: 6.8867e-02 eta: 4 days, 1:26:11 time: 0.4001 data_time: 0.0146 memory: 13431 grad_norm: 2.4692 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2474 loss: 3.2474 2022/08/13 17:07:54 - mmengine - INFO - Epoch(train) [23][2800/3757] lr: 6.8936e-02 eta: 4 days, 1:25:29 time: 0.4011 data_time: 0.0140 memory: 13431 grad_norm: 2.4764 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9841 loss: 2.9841 2022/08/13 17:08:34 - mmengine - INFO - Epoch(train) [23][2900/3757] lr: 6.9005e-02 eta: 4 days, 1:24:53 time: 0.3974 data_time: 0.0148 memory: 13431 grad_norm: 2.5314 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0666 loss: 3.0666 2022/08/13 17:09:14 - mmengine - INFO - Epoch(train) [23][3000/3757] lr: 6.9075e-02 eta: 4 days, 1:24:12 time: 0.4011 data_time: 0.0138 memory: 13431 grad_norm: 2.4761 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9970 loss: 2.9970 2022/08/13 17:09:54 - mmengine - INFO - Epoch(train) [23][3100/3757] lr: 6.9144e-02 eta: 4 days, 1:23:31 time: 0.4057 data_time: 0.0176 memory: 13431 grad_norm: 2.5000 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3180 loss: 3.3180 2022/08/13 17:10:34 - mmengine - INFO - Epoch(train) [23][3200/3757] lr: 6.9213e-02 eta: 4 days, 1:22:51 time: 0.4039 data_time: 0.0150 memory: 13431 grad_norm: 2.5473 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3144 loss: 3.3144 2022/08/13 17:11:14 - mmengine - INFO - Epoch(train) [23][3300/3757] lr: 6.9282e-02 eta: 4 days, 1:22:11 time: 0.4054 data_time: 0.0144 memory: 13431 grad_norm: 2.5180 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1907 loss: 3.1907 2022/08/13 17:11:33 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 17:11:54 - mmengine - INFO - Epoch(train) [23][3400/3757] lr: 6.9351e-02 eta: 4 days, 1:21:34 time: 0.4003 data_time: 0.0149 memory: 13431 grad_norm: 2.4913 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1954 loss: 3.1954 2022/08/13 17:12:35 - mmengine - INFO - Epoch(train) [23][3500/3757] lr: 6.9421e-02 eta: 4 days, 1:21:00 time: 0.4084 data_time: 0.0145 memory: 13431 grad_norm: 2.4420 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.9681 loss: 2.9681 2022/08/13 17:13:16 - mmengine - INFO - Epoch(train) [23][3600/3757] lr: 6.9490e-02 eta: 4 days, 1:20:25 time: 0.3921 data_time: 0.0139 memory: 13431 grad_norm: 2.4513 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3430 loss: 3.3430 2022/08/13 17:13:58 - mmengine - INFO - Epoch(train) [23][3700/3757] lr: 6.9559e-02 eta: 4 days, 1:20:05 time: 0.3956 data_time: 0.0134 memory: 13431 grad_norm: 2.3901 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1333 loss: 3.1333 2022/08/13 17:14:20 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 17:14:20 - mmengine - INFO - Epoch(train) [23][3757/3757] lr: 6.9598e-02 eta: 4 days, 1:19:49 time: 0.3836 data_time: 0.0131 memory: 13431 grad_norm: 2.4894 top1_acc: 0.0000 top5_acc: 0.4286 loss_cls: 2.9927 loss: 2.9927 2022/08/13 17:15:03 - mmengine - INFO - Epoch(train) [24][100/3757] lr: 6.9549e-02 eta: 4 days, 1:18:18 time: 0.4192 data_time: 0.0161 memory: 13431 grad_norm: 2.4168 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9535 loss: 2.9535 2022/08/13 17:15:43 - mmengine - INFO - Epoch(train) [24][200/3757] lr: 6.9618e-02 eta: 4 days, 1:17:39 time: 0.4040 data_time: 0.0146 memory: 13431 grad_norm: 2.5363 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8853 loss: 2.8853 2022/08/13 17:16:23 - mmengine - INFO - Epoch(train) [24][300/3757] lr: 6.9687e-02 eta: 4 days, 1:17:01 time: 0.4110 data_time: 0.0145 memory: 13431 grad_norm: 2.3708 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4180 loss: 3.4180 2022/08/13 17:17:03 - mmengine - INFO - Epoch(train) [24][400/3757] lr: 6.9756e-02 eta: 4 days, 1:16:22 time: 0.4103 data_time: 0.0156 memory: 13431 grad_norm: 2.4425 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.2721 loss: 3.2721 2022/08/13 17:17:44 - mmengine - INFO - Epoch(train) [24][500/3757] lr: 6.9825e-02 eta: 4 days, 1:15:43 time: 0.4063 data_time: 0.0148 memory: 13431 grad_norm: 2.4914 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1340 loss: 3.1340 2022/08/13 17:18:19 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 17:18:24 - mmengine - INFO - Epoch(train) [24][600/3757] lr: 6.9894e-02 eta: 4 days, 1:15:05 time: 0.3953 data_time: 0.0140 memory: 13431 grad_norm: 2.5523 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9921 loss: 2.9921 2022/08/13 17:19:04 - mmengine - INFO - Epoch(train) [24][700/3757] lr: 6.9963e-02 eta: 4 days, 1:14:26 time: 0.3997 data_time: 0.0146 memory: 13431 grad_norm: 2.5069 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3752 loss: 3.3752 2022/08/13 17:19:44 - mmengine - INFO - Epoch(train) [24][800/3757] lr: 7.0032e-02 eta: 4 days, 1:13:45 time: 0.4059 data_time: 0.0161 memory: 13431 grad_norm: 2.4846 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9657 loss: 2.9657 2022/08/13 17:20:24 - mmengine - INFO - Epoch(train) [24][900/3757] lr: 7.0101e-02 eta: 4 days, 1:13:02 time: 0.3991 data_time: 0.0159 memory: 13431 grad_norm: 2.4758 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2186 loss: 3.2186 2022/08/13 17:21:04 - mmengine - INFO - Epoch(train) [24][1000/3757] lr: 7.0170e-02 eta: 4 days, 1:12:20 time: 0.4013 data_time: 0.0151 memory: 13431 grad_norm: 2.4420 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.0096 loss: 3.0096 2022/08/13 17:21:44 - mmengine - INFO - Epoch(train) [24][1100/3757] lr: 7.0239e-02 eta: 4 days, 1:11:40 time: 0.4032 data_time: 0.0150 memory: 13431 grad_norm: 2.5501 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.1584 loss: 3.1584 2022/08/13 17:22:24 - mmengine - INFO - Epoch(train) [24][1200/3757] lr: 7.0309e-02 eta: 4 days, 1:11:05 time: 0.4145 data_time: 0.0150 memory: 13431 grad_norm: 2.4922 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7931 loss: 2.7931 2022/08/13 17:23:04 - mmengine - INFO - Epoch(train) [24][1300/3757] lr: 7.0378e-02 eta: 4 days, 1:10:27 time: 0.4034 data_time: 0.0158 memory: 13431 grad_norm: 2.4634 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9856 loss: 2.9856 2022/08/13 17:23:45 - mmengine - INFO - Epoch(train) [24][1400/3757] lr: 7.0447e-02 eta: 4 days, 1:09:49 time: 0.4046 data_time: 0.0157 memory: 13431 grad_norm: 2.4966 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1434 loss: 3.1434 2022/08/13 17:24:25 - mmengine - INFO - Epoch(train) [24][1500/3757] lr: 7.0516e-02 eta: 4 days, 1:09:09 time: 0.4050 data_time: 0.0156 memory: 13431 grad_norm: 2.5165 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2192 loss: 3.2192 2022/08/13 17:25:00 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 17:25:05 - mmengine - INFO - Epoch(train) [24][1600/3757] lr: 7.0585e-02 eta: 4 days, 1:08:27 time: 0.4030 data_time: 0.0163 memory: 13431 grad_norm: 2.5106 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1007 loss: 3.1007 2022/08/13 17:25:44 - mmengine - INFO - Epoch(train) [24][1700/3757] lr: 7.0654e-02 eta: 4 days, 1:07:45 time: 0.4025 data_time: 0.0132 memory: 13431 grad_norm: 2.4926 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.8143 loss: 2.8143 2022/08/13 17:26:25 - mmengine - INFO - Epoch(train) [24][1800/3757] lr: 7.0723e-02 eta: 4 days, 1:07:06 time: 0.4077 data_time: 0.0148 memory: 13431 grad_norm: 2.5306 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2534 loss: 3.2534 2022/08/13 17:27:05 - mmengine - INFO - Epoch(train) [24][1900/3757] lr: 7.0792e-02 eta: 4 days, 1:06:28 time: 0.4076 data_time: 0.0146 memory: 13431 grad_norm: 2.5417 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9820 loss: 2.9820 2022/08/13 17:27:45 - mmengine - INFO - Epoch(train) [24][2000/3757] lr: 7.0861e-02 eta: 4 days, 1:05:50 time: 0.4053 data_time: 0.0164 memory: 13431 grad_norm: 2.4543 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3120 loss: 3.3120 2022/08/13 17:28:25 - mmengine - INFO - Epoch(train) [24][2100/3757] lr: 7.0930e-02 eta: 4 days, 1:05:09 time: 0.4006 data_time: 0.0150 memory: 13431 grad_norm: 2.5403 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.2336 loss: 3.2336 2022/08/13 17:29:05 - mmengine - INFO - Epoch(train) [24][2200/3757] lr: 7.0999e-02 eta: 4 days, 1:04:32 time: 0.4017 data_time: 0.0132 memory: 13431 grad_norm: 2.5339 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.2278 loss: 3.2278 2022/08/13 17:29:45 - mmengine - INFO - Epoch(train) [24][2300/3757] lr: 7.1068e-02 eta: 4 days, 1:03:52 time: 0.4049 data_time: 0.0138 memory: 13431 grad_norm: 2.4836 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.1684 loss: 3.1684 2022/08/13 17:30:26 - mmengine - INFO - Epoch(train) [24][2400/3757] lr: 7.1137e-02 eta: 4 days, 1:03:19 time: 0.3964 data_time: 0.0137 memory: 13431 grad_norm: 2.4803 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0516 loss: 3.0516 2022/08/13 17:31:06 - mmengine - INFO - Epoch(train) [24][2500/3757] lr: 7.1206e-02 eta: 4 days, 1:02:39 time: 0.3985 data_time: 0.0136 memory: 13431 grad_norm: 2.5297 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1778 loss: 3.1778 2022/08/13 17:31:42 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 17:31:47 - mmengine - INFO - Epoch(train) [24][2600/3757] lr: 7.1275e-02 eta: 4 days, 1:02:02 time: 0.4070 data_time: 0.0174 memory: 13431 grad_norm: 2.4638 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2628 loss: 3.2628 2022/08/13 17:32:27 - mmengine - INFO - Epoch(train) [24][2700/3757] lr: 7.1344e-02 eta: 4 days, 1:01:24 time: 0.4078 data_time: 0.0157 memory: 13431 grad_norm: 2.4243 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.1081 loss: 3.1081 2022/08/13 17:33:07 - mmengine - INFO - Epoch(train) [24][2800/3757] lr: 7.1414e-02 eta: 4 days, 1:00:46 time: 0.4073 data_time: 0.0154 memory: 13431 grad_norm: 2.3405 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0380 loss: 3.0380 2022/08/13 17:33:47 - mmengine - INFO - Epoch(train) [24][2900/3757] lr: 7.1483e-02 eta: 4 days, 1:00:04 time: 0.3994 data_time: 0.0152 memory: 13431 grad_norm: 2.3911 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.4067 loss: 3.4067 2022/08/13 17:34:27 - mmengine - INFO - Epoch(train) [24][3000/3757] lr: 7.1552e-02 eta: 4 days, 0:59:23 time: 0.4044 data_time: 0.0157 memory: 13431 grad_norm: 2.4763 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 3.1110 loss: 3.1110 2022/08/13 17:35:07 - mmengine - INFO - Epoch(train) [24][3100/3757] lr: 7.1621e-02 eta: 4 days, 0:58:42 time: 0.4024 data_time: 0.0165 memory: 13431 grad_norm: 2.4520 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8980 loss: 2.8980 2022/08/13 17:35:47 - mmengine - INFO - Epoch(train) [24][3200/3757] lr: 7.1690e-02 eta: 4 days, 0:58:00 time: 0.4016 data_time: 0.0155 memory: 13431 grad_norm: 2.4962 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.7016 loss: 2.7016 2022/08/13 17:36:27 - mmengine - INFO - Epoch(train) [24][3300/3757] lr: 7.1759e-02 eta: 4 days, 0:57:24 time: 0.4087 data_time: 0.0144 memory: 13431 grad_norm: 2.4104 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8318 loss: 2.8318 2022/08/13 17:37:07 - mmengine - INFO - Epoch(train) [24][3400/3757] lr: 7.1828e-02 eta: 4 days, 0:56:44 time: 0.4058 data_time: 0.0151 memory: 13431 grad_norm: 2.5210 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.6186 loss: 3.6186 2022/08/13 17:37:48 - mmengine - INFO - Epoch(train) [24][3500/3757] lr: 7.1897e-02 eta: 4 days, 0:56:05 time: 0.4020 data_time: 0.0151 memory: 13431 grad_norm: 2.4418 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0669 loss: 3.0669 2022/08/13 17:38:23 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 17:38:27 - mmengine - INFO - Epoch(train) [24][3600/3757] lr: 7.1966e-02 eta: 4 days, 0:55:22 time: 0.3936 data_time: 0.0138 memory: 13431 grad_norm: 2.4943 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.9380 loss: 2.9380 2022/08/13 17:39:07 - mmengine - INFO - Epoch(train) [24][3700/3757] lr: 7.2035e-02 eta: 4 days, 0:54:40 time: 0.3965 data_time: 0.0153 memory: 13431 grad_norm: 2.4341 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0372 loss: 3.0372 2022/08/13 17:39:30 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 17:39:30 - mmengine - INFO - Epoch(train) [24][3757/3757] lr: 7.2074e-02 eta: 4 days, 0:54:22 time: 0.3866 data_time: 0.0141 memory: 13431 grad_norm: 2.5350 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 3.1880 loss: 3.1880 2022/08/13 17:39:30 - mmengine - INFO - Saving checkpoint at 24 epochs 2022/08/13 17:40:16 - mmengine - INFO - Epoch(train) [25][100/3757] lr: 7.2015e-02 eta: 4 days, 0:52:41 time: 0.3943 data_time: 0.0150 memory: 13431 grad_norm: 2.4763 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9217 loss: 2.9217 2022/08/13 17:40:56 - mmengine - INFO - Epoch(train) [25][200/3757] lr: 7.2084e-02 eta: 4 days, 0:52:03 time: 0.4083 data_time: 0.0148 memory: 13431 grad_norm: 2.4803 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.9270 loss: 2.9270 2022/08/13 17:41:36 - mmengine - INFO - Epoch(train) [25][300/3757] lr: 7.2153e-02 eta: 4 days, 0:51:23 time: 0.3955 data_time: 0.0141 memory: 13431 grad_norm: 2.3932 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.8184 loss: 2.8184 2022/08/13 17:42:16 - mmengine - INFO - Epoch(train) [25][400/3757] lr: 7.2222e-02 eta: 4 days, 0:50:44 time: 0.4000 data_time: 0.0145 memory: 13431 grad_norm: 2.4861 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.4027 loss: 3.4027 2022/08/13 17:42:56 - mmengine - INFO - Epoch(train) [25][500/3757] lr: 7.2291e-02 eta: 4 days, 0:50:05 time: 0.3992 data_time: 0.0152 memory: 13431 grad_norm: 2.4901 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1739 loss: 3.1739 2022/08/13 17:43:36 - mmengine - INFO - Epoch(train) [25][600/3757] lr: 7.2360e-02 eta: 4 days, 0:49:25 time: 0.4035 data_time: 0.0160 memory: 13431 grad_norm: 2.5406 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1841 loss: 3.1841 2022/08/13 17:44:17 - mmengine - INFO - Epoch(train) [25][700/3757] lr: 7.2429e-02 eta: 4 days, 0:48:50 time: 0.4033 data_time: 0.0150 memory: 13431 grad_norm: 2.4918 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0949 loss: 3.0949 2022/08/13 17:44:57 - mmengine - INFO - Epoch(train) [25][800/3757] lr: 7.2498e-02 eta: 4 days, 0:48:10 time: 0.4017 data_time: 0.0148 memory: 13431 grad_norm: 2.4324 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.9725 loss: 2.9725 2022/08/13 17:45:10 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 17:45:37 - mmengine - INFO - Epoch(train) [25][900/3757] lr: 7.2567e-02 eta: 4 days, 0:47:33 time: 0.4126 data_time: 0.0135 memory: 13431 grad_norm: 2.4503 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0585 loss: 3.0585 2022/08/13 17:46:17 - mmengine - INFO - Epoch(train) [25][1000/3757] lr: 7.2636e-02 eta: 4 days, 0:46:54 time: 0.4122 data_time: 0.0135 memory: 13431 grad_norm: 2.5672 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0404 loss: 3.0404 2022/08/13 17:46:58 - mmengine - INFO - Epoch(train) [25][1100/3757] lr: 7.2704e-02 eta: 4 days, 0:46:15 time: 0.4046 data_time: 0.0145 memory: 13431 grad_norm: 2.4723 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9226 loss: 2.9226 2022/08/13 17:47:38 - mmengine - INFO - Epoch(train) [25][1200/3757] lr: 7.2773e-02 eta: 4 days, 0:45:35 time: 0.4006 data_time: 0.0158 memory: 13431 grad_norm: 2.4513 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9626 loss: 2.9626 2022/08/13 17:48:17 - mmengine - INFO - Epoch(train) [25][1300/3757] lr: 7.2842e-02 eta: 4 days, 0:44:53 time: 0.3958 data_time: 0.0131 memory: 13431 grad_norm: 2.4026 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1409 loss: 3.1409 2022/08/13 17:48:58 - mmengine - INFO - Epoch(train) [25][1400/3757] lr: 7.2911e-02 eta: 4 days, 0:44:14 time: 0.3988 data_time: 0.0137 memory: 13431 grad_norm: 2.4882 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9998 loss: 2.9998 2022/08/13 17:49:38 - mmengine - INFO - Epoch(train) [25][1500/3757] lr: 7.2980e-02 eta: 4 days, 0:43:33 time: 0.3960 data_time: 0.0134 memory: 13431 grad_norm: 2.4838 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.8712 loss: 2.8712 2022/08/13 17:50:18 - mmengine - INFO - Epoch(train) [25][1600/3757] lr: 7.3049e-02 eta: 4 days, 0:42:57 time: 0.4058 data_time: 0.0137 memory: 13431 grad_norm: 2.4909 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0116 loss: 3.0116 2022/08/13 17:50:58 - mmengine - INFO - Epoch(train) [25][1700/3757] lr: 7.3118e-02 eta: 4 days, 0:42:21 time: 0.3981 data_time: 0.0137 memory: 13431 grad_norm: 2.4311 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1782 loss: 3.1782 2022/08/13 17:51:39 - mmengine - INFO - Epoch(train) [25][1800/3757] lr: 7.3187e-02 eta: 4 days, 0:41:41 time: 0.3976 data_time: 0.0139 memory: 13431 grad_norm: 2.4525 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2341 loss: 3.2341 2022/08/13 17:51:51 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 17:52:18 - mmengine - INFO - Epoch(train) [25][1900/3757] lr: 7.3256e-02 eta: 4 days, 0:40:59 time: 0.3955 data_time: 0.0141 memory: 13431 grad_norm: 2.4677 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9916 loss: 2.9916 2022/08/13 17:52:58 - mmengine - INFO - Epoch(train) [25][2000/3757] lr: 7.3325e-02 eta: 4 days, 0:40:17 time: 0.3976 data_time: 0.0145 memory: 13431 grad_norm: 2.5219 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.8947 loss: 2.8947 2022/08/13 17:53:38 - mmengine - INFO - Epoch(train) [25][2100/3757] lr: 7.3394e-02 eta: 4 days, 0:39:37 time: 0.4011 data_time: 0.0149 memory: 13431 grad_norm: 2.4369 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1705 loss: 3.1705 2022/08/13 17:54:18 - mmengine - INFO - Epoch(train) [25][2200/3757] lr: 7.3463e-02 eta: 4 days, 0:38:57 time: 0.4050 data_time: 0.0151 memory: 13431 grad_norm: 2.4587 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0603 loss: 3.0603 2022/08/13 17:54:59 - mmengine - INFO - Epoch(train) [25][2300/3757] lr: 7.3532e-02 eta: 4 days, 0:38:19 time: 0.4077 data_time: 0.0160 memory: 13431 grad_norm: 2.4232 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.3250 loss: 3.3250 2022/08/13 17:55:39 - mmengine - INFO - Epoch(train) [25][2400/3757] lr: 7.3601e-02 eta: 4 days, 0:37:40 time: 0.4023 data_time: 0.0149 memory: 13431 grad_norm: 2.4879 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2197 loss: 3.2197 2022/08/13 17:56:19 - mmengine - INFO - Epoch(train) [25][2500/3757] lr: 7.3670e-02 eta: 4 days, 0:37:03 time: 0.4000 data_time: 0.0146 memory: 13431 grad_norm: 2.4487 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9489 loss: 2.9489 2022/08/13 17:56:59 - mmengine - INFO - Epoch(train) [25][2600/3757] lr: 7.3739e-02 eta: 4 days, 0:36:23 time: 0.4078 data_time: 0.0153 memory: 13431 grad_norm: 2.4867 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3638 loss: 3.3638 2022/08/13 17:57:39 - mmengine - INFO - Epoch(train) [25][2700/3757] lr: 7.3808e-02 eta: 4 days, 0:35:41 time: 0.4004 data_time: 0.0141 memory: 13431 grad_norm: 2.4531 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8748 loss: 2.8748 2022/08/13 17:58:19 - mmengine - INFO - Epoch(train) [25][2800/3757] lr: 7.3876e-02 eta: 4 days, 0:35:04 time: 0.4177 data_time: 0.0131 memory: 13431 grad_norm: 2.5181 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.3975 loss: 3.3975 2022/08/13 17:58:32 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 17:59:00 - mmengine - INFO - Epoch(train) [25][2900/3757] lr: 7.3945e-02 eta: 4 days, 0:34:24 time: 0.3989 data_time: 0.0153 memory: 13431 grad_norm: 2.4326 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0169 loss: 3.0169 2022/08/13 17:59:40 - mmengine - INFO - Epoch(train) [25][3000/3757] lr: 7.4014e-02 eta: 4 days, 0:33:47 time: 0.4078 data_time: 0.0158 memory: 13431 grad_norm: 2.4719 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0752 loss: 3.0752 2022/08/13 18:00:25 - mmengine - INFO - Epoch(train) [25][3100/3757] lr: 7.4083e-02 eta: 4 days, 0:33:50 time: 0.3953 data_time: 0.0133 memory: 13431 grad_norm: 2.3864 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1300 loss: 3.1300 2022/08/13 18:01:05 - mmengine - INFO - Epoch(train) [25][3200/3757] lr: 7.4152e-02 eta: 4 days, 0:33:13 time: 0.3964 data_time: 0.0140 memory: 13431 grad_norm: 2.4402 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2090 loss: 3.2090 2022/08/13 18:01:45 - mmengine - INFO - Epoch(train) [25][3300/3757] lr: 7.4221e-02 eta: 4 days, 0:32:37 time: 0.3955 data_time: 0.0153 memory: 13431 grad_norm: 2.4472 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9604 loss: 2.9604 2022/08/13 18:02:26 - mmengine - INFO - Epoch(train) [25][3400/3757] lr: 7.4290e-02 eta: 4 days, 0:32:01 time: 0.3969 data_time: 0.0132 memory: 13431 grad_norm: 2.5328 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7706 loss: 2.7706 2022/08/13 18:03:06 - mmengine - INFO - Epoch(train) [25][3500/3757] lr: 7.4359e-02 eta: 4 days, 0:31:21 time: 0.4003 data_time: 0.0133 memory: 13431 grad_norm: 2.4449 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1092 loss: 3.1092 2022/08/13 18:03:46 - mmengine - INFO - Epoch(train) [25][3600/3757] lr: 7.4428e-02 eta: 4 days, 0:30:41 time: 0.3966 data_time: 0.0150 memory: 13431 grad_norm: 2.4916 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3745 loss: 3.3745 2022/08/13 18:04:26 - mmengine - INFO - Epoch(train) [25][3700/3757] lr: 7.4497e-02 eta: 4 days, 0:30:04 time: 0.4106 data_time: 0.0136 memory: 13431 grad_norm: 2.4681 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9822 loss: 2.9822 2022/08/13 18:04:50 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 18:04:50 - mmengine - INFO - Epoch(train) [25][3757/3757] lr: 7.4536e-02 eta: 4 days, 0:29:50 time: 0.4172 data_time: 0.0154 memory: 13431 grad_norm: 2.4766 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 2.8812 loss: 2.8812 2022/08/13 18:05:13 - mmengine - INFO - Epoch(val) [25][100/310] eta: 0:00:47 time: 0.2263 data_time: 0.0987 memory: 1974 2022/08/13 18:05:34 - mmengine - INFO - Epoch(val) [25][200/310] eta: 0:00:20 time: 0.1889 data_time: 0.0606 memory: 1974 2022/08/13 18:05:56 - mmengine - INFO - Epoch(val) [25][300/310] eta: 0:00:02 time: 0.2215 data_time: 0.0897 memory: 1974 2022/08/13 18:06:00 - mmengine - INFO - Epoch(val) [25][310/310] acc/top1: 0.3866 acc/top5: 0.6626 acc/mean1: 0.3865 2022/08/13 18:06:00 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_21.pth is removed 2022/08/13 18:06:03 - mmengine - INFO - The best checkpoint with 0.3866 acc/top1 at 26 epoch is saved to best_acc/top1_epoch_26.pth. 2022/08/13 18:06:34 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 18:06:44 - mmengine - INFO - Epoch(train) [26][100/3757] lr: 7.4467e-02 eta: 4 days, 0:28:12 time: 0.4074 data_time: 0.0159 memory: 13431 grad_norm: 2.4792 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.2375 loss: 3.2375 2022/08/13 18:07:25 - mmengine - INFO - Epoch(train) [26][200/3757] lr: 7.4535e-02 eta: 4 days, 0:27:35 time: 0.3955 data_time: 0.0159 memory: 13431 grad_norm: 2.4773 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8063 loss: 2.8063 2022/08/13 18:08:05 - mmengine - INFO - Epoch(train) [26][300/3757] lr: 7.4604e-02 eta: 4 days, 0:26:59 time: 0.3945 data_time: 0.0137 memory: 13431 grad_norm: 2.4667 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9042 loss: 2.9042 2022/08/13 18:08:46 - mmengine - INFO - Epoch(train) [26][400/3757] lr: 7.4673e-02 eta: 4 days, 0:26:24 time: 0.3961 data_time: 0.0130 memory: 13431 grad_norm: 2.4363 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.1309 loss: 3.1309 2022/08/13 18:09:26 - mmengine - INFO - Epoch(train) [26][500/3757] lr: 7.4742e-02 eta: 4 days, 0:25:43 time: 0.3951 data_time: 0.0136 memory: 13431 grad_norm: 2.4035 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.0779 loss: 3.0779 2022/08/13 18:10:07 - mmengine - INFO - Epoch(train) [26][600/3757] lr: 7.4811e-02 eta: 4 days, 0:25:12 time: 0.4058 data_time: 0.0139 memory: 13431 grad_norm: 2.4568 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9532 loss: 2.9532 2022/08/13 18:10:47 - mmengine - INFO - Epoch(train) [26][700/3757] lr: 7.4879e-02 eta: 4 days, 0:24:37 time: 0.4047 data_time: 0.0139 memory: 13431 grad_norm: 2.5010 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0690 loss: 3.0690 2022/08/13 18:11:28 - mmengine - INFO - Epoch(train) [26][800/3757] lr: 7.4948e-02 eta: 4 days, 0:23:59 time: 0.4010 data_time: 0.0140 memory: 13431 grad_norm: 2.4748 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1688 loss: 3.1688 2022/08/13 18:12:08 - mmengine - INFO - Epoch(train) [26][900/3757] lr: 7.5017e-02 eta: 4 days, 0:23:23 time: 0.4032 data_time: 0.0149 memory: 13431 grad_norm: 2.3921 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0401 loss: 3.0401 2022/08/13 18:12:49 - mmengine - INFO - Epoch(train) [26][1000/3757] lr: 7.5086e-02 eta: 4 days, 0:22:48 time: 0.3928 data_time: 0.0149 memory: 13431 grad_norm: 2.5670 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7526 loss: 2.7526 2022/08/13 18:13:19 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 18:13:29 - mmengine - INFO - Epoch(train) [26][1100/3757] lr: 7.5155e-02 eta: 4 days, 0:22:08 time: 0.3967 data_time: 0.0145 memory: 13431 grad_norm: 2.4701 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0421 loss: 3.0421 2022/08/13 18:14:09 - mmengine - INFO - Epoch(train) [26][1200/3757] lr: 7.5224e-02 eta: 4 days, 0:21:28 time: 0.3952 data_time: 0.0141 memory: 13431 grad_norm: 2.4412 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1116 loss: 3.1116 2022/08/13 18:14:50 - mmengine - INFO - Epoch(train) [26][1300/3757] lr: 7.5292e-02 eta: 4 days, 0:20:55 time: 0.4207 data_time: 0.0166 memory: 13431 grad_norm: 2.4636 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.4430 loss: 3.4430 2022/08/13 18:15:30 - mmengine - INFO - Epoch(train) [26][1400/3757] lr: 7.5361e-02 eta: 4 days, 0:20:19 time: 0.4042 data_time: 0.0153 memory: 13431 grad_norm: 2.4341 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2648 loss: 3.2648 2022/08/13 18:16:10 - mmengine - INFO - Epoch(train) [26][1500/3757] lr: 7.5430e-02 eta: 4 days, 0:19:39 time: 0.3986 data_time: 0.0140 memory: 13431 grad_norm: 2.4784 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2170 loss: 3.2170 2022/08/13 18:16:50 - mmengine - INFO - Epoch(train) [26][1600/3757] lr: 7.5499e-02 eta: 4 days, 0:18:59 time: 0.4014 data_time: 0.0135 memory: 13431 grad_norm: 2.4364 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9726 loss: 2.9726 2022/08/13 18:17:31 - mmengine - INFO - Epoch(train) [26][1700/3757] lr: 7.5568e-02 eta: 4 days, 0:18:20 time: 0.4162 data_time: 0.0177 memory: 13431 grad_norm: 2.3756 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8616 loss: 2.8616 2022/08/13 18:18:11 - mmengine - INFO - Epoch(train) [26][1800/3757] lr: 7.5636e-02 eta: 4 days, 0:17:41 time: 0.3983 data_time: 0.0139 memory: 13431 grad_norm: 2.5082 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9455 loss: 2.9455 2022/08/13 18:18:51 - mmengine - INFO - Epoch(train) [26][1900/3757] lr: 7.5705e-02 eta: 4 days, 0:16:59 time: 0.4016 data_time: 0.0162 memory: 13431 grad_norm: 2.5008 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9733 loss: 2.9733 2022/08/13 18:19:32 - mmengine - INFO - Epoch(train) [26][2000/3757] lr: 7.5774e-02 eta: 4 days, 0:16:28 time: 0.4270 data_time: 0.0147 memory: 13431 grad_norm: 2.4022 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1605 loss: 3.1605 2022/08/13 18:20:02 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 18:20:12 - mmengine - INFO - Epoch(train) [26][2100/3757] lr: 7.5843e-02 eta: 4 days, 0:15:53 time: 0.4068 data_time: 0.0170 memory: 13431 grad_norm: 2.4505 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0014 loss: 3.0014 2022/08/13 18:20:53 - mmengine - INFO - Epoch(train) [26][2200/3757] lr: 7.5912e-02 eta: 4 days, 0:15:15 time: 0.4137 data_time: 0.0139 memory: 13431 grad_norm: 2.4655 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9054 loss: 2.9054 2022/08/13 18:21:34 - mmengine - INFO - Epoch(train) [26][2300/3757] lr: 7.5980e-02 eta: 4 days, 0:14:45 time: 0.3952 data_time: 0.0142 memory: 13431 grad_norm: 2.4814 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0763 loss: 3.0763 2022/08/13 18:22:15 - mmengine - INFO - Epoch(train) [26][2400/3757] lr: 7.6049e-02 eta: 4 days, 0:14:12 time: 0.4049 data_time: 0.0154 memory: 13431 grad_norm: 2.3761 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3394 loss: 3.3394 2022/08/13 18:22:55 - mmengine - INFO - Epoch(train) [26][2500/3757] lr: 7.6118e-02 eta: 4 days, 0:13:35 time: 0.4076 data_time: 0.0173 memory: 13431 grad_norm: 2.5062 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2561 loss: 3.2561 2022/08/13 18:23:35 - mmengine - INFO - Epoch(train) [26][2600/3757] lr: 7.6187e-02 eta: 4 days, 0:12:53 time: 0.4024 data_time: 0.0153 memory: 13431 grad_norm: 2.4155 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.0065 loss: 3.0065 2022/08/13 18:24:15 - mmengine - INFO - Epoch(train) [26][2700/3757] lr: 7.6256e-02 eta: 4 days, 0:12:17 time: 0.4111 data_time: 0.0142 memory: 13431 grad_norm: 2.4076 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1590 loss: 3.1590 2022/08/13 18:24:55 - mmengine - INFO - Epoch(train) [26][2800/3757] lr: 7.6325e-02 eta: 4 days, 0:11:37 time: 0.4042 data_time: 0.0150 memory: 13431 grad_norm: 2.4255 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9338 loss: 2.9338 2022/08/13 18:25:35 - mmengine - INFO - Epoch(train) [26][2900/3757] lr: 7.6393e-02 eta: 4 days, 0:10:56 time: 0.3991 data_time: 0.0142 memory: 13431 grad_norm: 2.4039 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.8992 loss: 2.8992 2022/08/13 18:26:15 - mmengine - INFO - Epoch(train) [26][3000/3757] lr: 7.6462e-02 eta: 4 days, 0:10:15 time: 0.3981 data_time: 0.0140 memory: 13431 grad_norm: 2.4429 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0854 loss: 3.0854 2022/08/13 18:26:45 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 18:26:55 - mmengine - INFO - Epoch(train) [26][3100/3757] lr: 7.6531e-02 eta: 4 days, 0:09:33 time: 0.3966 data_time: 0.0137 memory: 13431 grad_norm: 2.4127 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9280 loss: 2.9280 2022/08/13 18:27:35 - mmengine - INFO - Epoch(train) [26][3200/3757] lr: 7.6600e-02 eta: 4 days, 0:08:53 time: 0.3968 data_time: 0.0140 memory: 13431 grad_norm: 2.4429 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9309 loss: 2.9309 2022/08/13 18:28:15 - mmengine - INFO - Epoch(train) [26][3300/3757] lr: 7.6669e-02 eta: 4 days, 0:08:12 time: 0.4005 data_time: 0.0157 memory: 13431 grad_norm: 2.3754 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7522 loss: 2.7522 2022/08/13 18:28:56 - mmengine - INFO - Epoch(train) [26][3400/3757] lr: 7.6737e-02 eta: 4 days, 0:07:36 time: 0.4112 data_time: 0.0136 memory: 13431 grad_norm: 2.4185 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1107 loss: 3.1107 2022/08/13 18:29:36 - mmengine - INFO - Epoch(train) [26][3500/3757] lr: 7.6806e-02 eta: 4 days, 0:06:54 time: 0.4032 data_time: 0.0151 memory: 13431 grad_norm: 2.4070 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8652 loss: 2.8652 2022/08/13 18:30:16 - mmengine - INFO - Epoch(train) [26][3600/3757] lr: 7.6875e-02 eta: 4 days, 0:06:18 time: 0.3966 data_time: 0.0151 memory: 13431 grad_norm: 2.4378 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1026 loss: 3.1026 2022/08/13 18:30:56 - mmengine - INFO - Epoch(train) [26][3700/3757] lr: 7.6944e-02 eta: 4 days, 0:05:38 time: 0.3979 data_time: 0.0140 memory: 13431 grad_norm: 2.4864 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0240 loss: 3.0240 2022/08/13 18:31:19 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 18:31:19 - mmengine - INFO - Epoch(train) [26][3757/3757] lr: 7.6983e-02 eta: 4 days, 0:05:23 time: 0.3817 data_time: 0.0128 memory: 13431 grad_norm: 2.4129 top1_acc: 0.1429 top5_acc: 0.8571 loss_cls: 2.9710 loss: 2.9710 2022/08/13 18:32:01 - mmengine - INFO - Epoch(train) [27][100/3757] lr: 7.6903e-02 eta: 4 days, 0:03:54 time: 0.4121 data_time: 0.0147 memory: 13431 grad_norm: 2.4579 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.0476 loss: 3.0476 2022/08/13 18:32:41 - mmengine - INFO - Epoch(train) [27][200/3757] lr: 7.6972e-02 eta: 4 days, 0:03:14 time: 0.3969 data_time: 0.0137 memory: 13431 grad_norm: 2.3818 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.9261 loss: 2.9261 2022/08/13 18:33:21 - mmengine - INFO - Epoch(train) [27][300/3757] lr: 7.7040e-02 eta: 4 days, 0:02:34 time: 0.4069 data_time: 0.0142 memory: 13431 grad_norm: 2.4219 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.2856 loss: 3.2856 2022/08/13 18:33:28 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 18:34:01 - mmengine - INFO - Epoch(train) [27][400/3757] lr: 7.7109e-02 eta: 4 days, 0:01:54 time: 0.3962 data_time: 0.0137 memory: 13431 grad_norm: 2.4355 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.1564 loss: 3.1564 2022/08/13 18:34:41 - mmengine - INFO - Epoch(train) [27][500/3757] lr: 7.7178e-02 eta: 4 days, 0:01:16 time: 0.4024 data_time: 0.0147 memory: 13431 grad_norm: 2.5763 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9200 loss: 2.9200 2022/08/13 18:35:21 - mmengine - INFO - Epoch(train) [27][600/3757] lr: 7.7246e-02 eta: 4 days, 0:00:34 time: 0.3980 data_time: 0.0144 memory: 13431 grad_norm: 2.3627 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0745 loss: 3.0745 2022/08/13 18:36:01 - mmengine - INFO - Epoch(train) [27][700/3757] lr: 7.7315e-02 eta: 3 days, 23:59:52 time: 0.3986 data_time: 0.0140 memory: 13431 grad_norm: 2.4184 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1267 loss: 3.1267 2022/08/13 18:36:42 - mmengine - INFO - Epoch(train) [27][800/3757] lr: 7.7384e-02 eta: 3 days, 23:59:15 time: 0.4037 data_time: 0.0150 memory: 13431 grad_norm: 2.4602 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1641 loss: 3.1641 2022/08/13 18:37:22 - mmengine - INFO - Epoch(train) [27][900/3757] lr: 7.7452e-02 eta: 3 days, 23:58:35 time: 0.3976 data_time: 0.0148 memory: 13431 grad_norm: 2.4217 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.3671 loss: 3.3671 2022/08/13 18:38:02 - mmengine - INFO - Epoch(train) [27][1000/3757] lr: 7.7521e-02 eta: 3 days, 23:57:55 time: 0.4099 data_time: 0.0153 memory: 13431 grad_norm: 2.5013 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8322 loss: 2.8322 2022/08/13 18:38:42 - mmengine - INFO - Epoch(train) [27][1100/3757] lr: 7.7590e-02 eta: 3 days, 23:57:15 time: 0.3962 data_time: 0.0150 memory: 13431 grad_norm: 2.3969 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1958 loss: 3.1958 2022/08/13 18:39:22 - mmengine - INFO - Epoch(train) [27][1200/3757] lr: 7.7658e-02 eta: 3 days, 23:56:36 time: 0.3988 data_time: 0.0151 memory: 13431 grad_norm: 2.4559 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0859 loss: 3.0859 2022/08/13 18:40:02 - mmengine - INFO - Epoch(train) [27][1300/3757] lr: 7.7727e-02 eta: 3 days, 23:55:55 time: 0.4032 data_time: 0.0156 memory: 13431 grad_norm: 2.3686 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0083 loss: 3.0083 2022/08/13 18:40:09 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 18:40:42 - mmengine - INFO - Epoch(train) [27][1400/3757] lr: 7.7796e-02 eta: 3 days, 23:55:15 time: 0.4069 data_time: 0.0155 memory: 13431 grad_norm: 2.4721 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0423 loss: 3.0423 2022/08/13 18:41:22 - mmengine - INFO - Epoch(train) [27][1500/3757] lr: 7.7864e-02 eta: 3 days, 23:54:35 time: 0.4016 data_time: 0.0154 memory: 13431 grad_norm: 2.4543 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 3.1306 loss: 3.1306 2022/08/13 18:42:02 - mmengine - INFO - Epoch(train) [27][1600/3757] lr: 7.7933e-02 eta: 3 days, 23:53:55 time: 0.4084 data_time: 0.0154 memory: 13431 grad_norm: 2.4688 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7099 loss: 2.7099 2022/08/13 18:42:42 - mmengine - INFO - Epoch(train) [27][1700/3757] lr: 7.8002e-02 eta: 3 days, 23:53:17 time: 0.3990 data_time: 0.0129 memory: 13431 grad_norm: 2.4476 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2666 loss: 3.2666 2022/08/13 18:43:23 - mmengine - INFO - Epoch(train) [27][1800/3757] lr: 7.8070e-02 eta: 3 days, 23:52:40 time: 0.3954 data_time: 0.0143 memory: 13431 grad_norm: 2.4165 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1316 loss: 3.1316 2022/08/13 18:44:03 - mmengine - INFO - Epoch(train) [27][1900/3757] lr: 7.8139e-02 eta: 3 days, 23:52:02 time: 0.4007 data_time: 0.0136 memory: 13431 grad_norm: 2.4362 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9791 loss: 2.9791 2022/08/13 18:44:43 - mmengine - INFO - Epoch(train) [27][2000/3757] lr: 7.8208e-02 eta: 3 days, 23:51:20 time: 0.4024 data_time: 0.0150 memory: 13431 grad_norm: 2.4133 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9382 loss: 2.9382 2022/08/13 18:45:23 - mmengine - INFO - Epoch(train) [27][2100/3757] lr: 7.8276e-02 eta: 3 days, 23:50:40 time: 0.4077 data_time: 0.0152 memory: 13431 grad_norm: 2.4471 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9177 loss: 2.9177 2022/08/13 18:46:03 - mmengine - INFO - Epoch(train) [27][2200/3757] lr: 7.8345e-02 eta: 3 days, 23:49:59 time: 0.4019 data_time: 0.0152 memory: 13431 grad_norm: 2.4849 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9974 loss: 2.9974 2022/08/13 18:46:43 - mmengine - INFO - Epoch(train) [27][2300/3757] lr: 7.8414e-02 eta: 3 days, 23:49:19 time: 0.4026 data_time: 0.0160 memory: 13431 grad_norm: 2.3352 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9399 loss: 2.9399 2022/08/13 18:46:50 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 18:47:23 - mmengine - INFO - Epoch(train) [27][2400/3757] lr: 7.8482e-02 eta: 3 days, 23:48:41 time: 0.4081 data_time: 0.0177 memory: 13431 grad_norm: 2.3431 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7952 loss: 2.7952 2022/08/13 18:48:04 - mmengine - INFO - Epoch(train) [27][2500/3757] lr: 7.8551e-02 eta: 3 days, 23:48:02 time: 0.3959 data_time: 0.0137 memory: 13431 grad_norm: 2.3627 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2727 loss: 3.2727 2022/08/13 18:48:44 - mmengine - INFO - Epoch(train) [27][2600/3757] lr: 7.8620e-02 eta: 3 days, 23:47:26 time: 0.3968 data_time: 0.0141 memory: 13431 grad_norm: 2.4644 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1451 loss: 3.1451 2022/08/13 18:49:24 - mmengine - INFO - Epoch(train) [27][2700/3757] lr: 7.8689e-02 eta: 3 days, 23:46:46 time: 0.4011 data_time: 0.0152 memory: 13431 grad_norm: 2.4458 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9772 loss: 2.9772 2022/08/13 18:50:04 - mmengine - INFO - Epoch(train) [27][2800/3757] lr: 7.8757e-02 eta: 3 days, 23:46:05 time: 0.4000 data_time: 0.0159 memory: 13431 grad_norm: 2.3687 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9912 loss: 2.9912 2022/08/13 18:50:44 - mmengine - INFO - Epoch(train) [27][2900/3757] lr: 7.8826e-02 eta: 3 days, 23:45:24 time: 0.3998 data_time: 0.0143 memory: 13431 grad_norm: 2.4050 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0644 loss: 3.0644 2022/08/13 18:51:24 - mmengine - INFO - Epoch(train) [27][3000/3757] lr: 7.8895e-02 eta: 3 days, 23:44:44 time: 0.3971 data_time: 0.0137 memory: 13431 grad_norm: 2.3546 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1120 loss: 3.1120 2022/08/13 18:52:04 - mmengine - INFO - Epoch(train) [27][3100/3757] lr: 7.8963e-02 eta: 3 days, 23:44:06 time: 0.4062 data_time: 0.0141 memory: 13431 grad_norm: 2.4230 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.9200 loss: 2.9200 2022/08/13 18:52:45 - mmengine - INFO - Epoch(train) [27][3200/3757] lr: 7.9032e-02 eta: 3 days, 23:43:26 time: 0.3950 data_time: 0.0142 memory: 13431 grad_norm: 2.3733 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3219 loss: 3.3219 2022/08/13 18:53:25 - mmengine - INFO - Epoch(train) [27][3300/3757] lr: 7.9101e-02 eta: 3 days, 23:42:48 time: 0.4007 data_time: 0.0188 memory: 13431 grad_norm: 2.4809 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0014 loss: 3.0014 2022/08/13 18:53:32 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 18:54:05 - mmengine - INFO - Epoch(train) [27][3400/3757] lr: 7.9169e-02 eta: 3 days, 23:42:06 time: 0.3995 data_time: 0.0153 memory: 13431 grad_norm: 2.4002 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2093 loss: 3.2093 2022/08/13 18:54:46 - mmengine - INFO - Epoch(train) [27][3500/3757] lr: 7.9238e-02 eta: 3 days, 23:41:38 time: 0.4770 data_time: 0.0154 memory: 13431 grad_norm: 2.4602 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.3964 loss: 3.3964 2022/08/13 18:55:26 - mmengine - INFO - Epoch(train) [27][3600/3757] lr: 7.9307e-02 eta: 3 days, 23:40:59 time: 0.3995 data_time: 0.0142 memory: 13431 grad_norm: 2.3605 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2304 loss: 3.2304 2022/08/13 18:56:06 - mmengine - INFO - Epoch(train) [27][3700/3757] lr: 7.9375e-02 eta: 3 days, 23:40:18 time: 0.3948 data_time: 0.0134 memory: 13431 grad_norm: 2.4034 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.0504 loss: 3.0504 2022/08/13 18:56:29 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 18:56:29 - mmengine - INFO - Epoch(train) [27][3757/3757] lr: 7.9414e-02 eta: 3 days, 23:40:03 time: 0.3831 data_time: 0.0134 memory: 13431 grad_norm: 2.3975 top1_acc: 0.1429 top5_acc: 0.5714 loss_cls: 3.0910 loss: 3.0910 2022/08/13 18:57:11 - mmengine - INFO - Epoch(train) [28][100/3757] lr: 7.9323e-02 eta: 3 days, 23:38:38 time: 0.4019 data_time: 0.0134 memory: 13431 grad_norm: 2.4227 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.2080 loss: 3.2080 2022/08/13 18:57:51 - mmengine - INFO - Epoch(train) [28][200/3757] lr: 7.9392e-02 eta: 3 days, 23:37:56 time: 0.3985 data_time: 0.0141 memory: 13431 grad_norm: 2.3643 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1431 loss: 3.1431 2022/08/13 18:58:31 - mmengine - INFO - Epoch(train) [28][300/3757] lr: 7.9460e-02 eta: 3 days, 23:37:16 time: 0.3979 data_time: 0.0145 memory: 13431 grad_norm: 2.4821 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.2959 loss: 3.2959 2022/08/13 18:59:11 - mmengine - INFO - Epoch(train) [28][400/3757] lr: 7.9529e-02 eta: 3 days, 23:36:34 time: 0.3967 data_time: 0.0159 memory: 13431 grad_norm: 2.4429 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.3331 loss: 3.3331 2022/08/13 18:59:51 - mmengine - INFO - Epoch(train) [28][500/3757] lr: 7.9597e-02 eta: 3 days, 23:35:52 time: 0.3963 data_time: 0.0157 memory: 13431 grad_norm: 2.3397 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8028 loss: 2.8028 2022/08/13 19:00:15 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 19:00:31 - mmengine - INFO - Epoch(train) [28][600/3757] lr: 7.9666e-02 eta: 3 days, 23:35:12 time: 0.3971 data_time: 0.0142 memory: 13431 grad_norm: 2.4760 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0109 loss: 3.0109 2022/08/13 19:01:11 - mmengine - INFO - Epoch(train) [28][700/3757] lr: 7.9735e-02 eta: 3 days, 23:34:31 time: 0.3962 data_time: 0.0142 memory: 13431 grad_norm: 2.3769 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0143 loss: 3.0143 2022/08/13 19:01:52 - mmengine - INFO - Epoch(train) [28][800/3757] lr: 7.9803e-02 eta: 3 days, 23:33:55 time: 0.3936 data_time: 0.0136 memory: 13431 grad_norm: 2.3826 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0005 loss: 3.0005 2022/08/13 19:02:32 - mmengine - INFO - Epoch(train) [28][900/3757] lr: 7.9872e-02 eta: 3 days, 23:33:16 time: 0.3977 data_time: 0.0134 memory: 13431 grad_norm: 2.3560 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9371 loss: 2.9371 2022/08/13 19:03:12 - mmengine - INFO - Epoch(train) [28][1000/3757] lr: 7.9940e-02 eta: 3 days, 23:32:41 time: 0.4004 data_time: 0.0158 memory: 13431 grad_norm: 2.4487 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.1551 loss: 3.1551 2022/08/13 19:03:52 - mmengine - INFO - Epoch(train) [28][1100/3757] lr: 8.0009e-02 eta: 3 days, 23:32:01 time: 0.4011 data_time: 0.0172 memory: 13431 grad_norm: 2.4065 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0862 loss: 3.0862 2022/08/13 19:04:33 - mmengine - INFO - Epoch(train) [28][1200/3757] lr: 8.0077e-02 eta: 3 days, 23:31:24 time: 0.4258 data_time: 0.0171 memory: 13431 grad_norm: 2.3323 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0160 loss: 3.0160 2022/08/13 19:05:14 - mmengine - INFO - Epoch(train) [28][1300/3757] lr: 8.0146e-02 eta: 3 days, 23:30:51 time: 0.4269 data_time: 0.0153 memory: 13431 grad_norm: 2.3460 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8534 loss: 2.8534 2022/08/13 19:05:54 - mmengine - INFO - Epoch(train) [28][1400/3757] lr: 8.0214e-02 eta: 3 days, 23:30:12 time: 0.4035 data_time: 0.0143 memory: 13431 grad_norm: 2.3466 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.1349 loss: 3.1349 2022/08/13 19:06:34 - mmengine - INFO - Epoch(train) [28][1500/3757] lr: 8.0283e-02 eta: 3 days, 23:29:34 time: 0.4046 data_time: 0.0131 memory: 13431 grad_norm: 2.4118 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8948 loss: 2.8948 2022/08/13 19:06:59 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 19:07:15 - mmengine - INFO - Epoch(train) [28][1600/3757] lr: 8.0351e-02 eta: 3 days, 23:28:56 time: 0.4128 data_time: 0.0146 memory: 13431 grad_norm: 2.3502 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0479 loss: 3.0479 2022/08/13 19:07:55 - mmengine - INFO - Epoch(train) [28][1700/3757] lr: 8.0420e-02 eta: 3 days, 23:28:15 time: 0.4056 data_time: 0.0158 memory: 13431 grad_norm: 2.4484 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3285 loss: 3.3285 2022/08/13 19:08:35 - mmengine - INFO - Epoch(train) [28][1800/3757] lr: 8.0488e-02 eta: 3 days, 23:27:42 time: 0.4421 data_time: 0.0154 memory: 13431 grad_norm: 2.4438 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.3905 loss: 3.3905 2022/08/13 19:09:15 - mmengine - INFO - Epoch(train) [28][1900/3757] lr: 8.0557e-02 eta: 3 days, 23:27:02 time: 0.3998 data_time: 0.0158 memory: 13431 grad_norm: 2.3805 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9289 loss: 2.9289 2022/08/13 19:09:55 - mmengine - INFO - Epoch(train) [28][2000/3757] lr: 8.0626e-02 eta: 3 days, 23:26:20 time: 0.3997 data_time: 0.0163 memory: 13431 grad_norm: 2.4238 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9326 loss: 2.9326 2022/08/13 19:10:35 - mmengine - INFO - Epoch(train) [28][2100/3757] lr: 8.0694e-02 eta: 3 days, 23:25:39 time: 0.4055 data_time: 0.0148 memory: 13431 grad_norm: 2.4125 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9138 loss: 2.9138 2022/08/13 19:11:15 - mmengine - INFO - Epoch(train) [28][2200/3757] lr: 8.0763e-02 eta: 3 days, 23:25:00 time: 0.4054 data_time: 0.0145 memory: 13431 grad_norm: 2.2998 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0298 loss: 3.0298 2022/08/13 19:11:56 - mmengine - INFO - Epoch(train) [28][2300/3757] lr: 8.0831e-02 eta: 3 days, 23:24:23 time: 0.4078 data_time: 0.0145 memory: 13431 grad_norm: 2.3819 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8636 loss: 2.8636 2022/08/13 19:12:36 - mmengine - INFO - Epoch(train) [28][2400/3757] lr: 8.0900e-02 eta: 3 days, 23:23:43 time: 0.3987 data_time: 0.0139 memory: 13431 grad_norm: 2.3749 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.6387 loss: 3.6387 2022/08/13 19:13:16 - mmengine - INFO - Epoch(train) [28][2500/3757] lr: 8.0968e-02 eta: 3 days, 23:23:01 time: 0.3992 data_time: 0.0162 memory: 13431 grad_norm: 2.4018 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2300 loss: 3.2300 2022/08/13 19:13:40 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 19:13:56 - mmengine - INFO - Epoch(train) [28][2600/3757] lr: 8.1037e-02 eta: 3 days, 23:22:20 time: 0.4038 data_time: 0.0144 memory: 13431 grad_norm: 2.3664 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.8785 loss: 2.8785 2022/08/13 19:14:36 - mmengine - INFO - Epoch(train) [28][2700/3757] lr: 8.1105e-02 eta: 3 days, 23:21:41 time: 0.4005 data_time: 0.0155 memory: 13431 grad_norm: 2.3560 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2940 loss: 3.2940 2022/08/13 19:15:16 - mmengine - INFO - Epoch(train) [28][2800/3757] lr: 8.1174e-02 eta: 3 days, 23:21:01 time: 0.3962 data_time: 0.0151 memory: 13431 grad_norm: 2.3817 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8084 loss: 2.8084 2022/08/13 19:15:57 - mmengine - INFO - Epoch(train) [28][2900/3757] lr: 8.1242e-02 eta: 3 days, 23:20:26 time: 0.4206 data_time: 0.0161 memory: 13431 grad_norm: 2.4110 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1745 loss: 3.1745 2022/08/13 19:16:37 - mmengine - INFO - Epoch(train) [28][3000/3757] lr: 8.1311e-02 eta: 3 days, 23:19:48 time: 0.4170 data_time: 0.0182 memory: 13431 grad_norm: 2.3879 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0208 loss: 3.0208 2022/08/13 19:17:17 - mmengine - INFO - Epoch(train) [28][3100/3757] lr: 8.1380e-02 eta: 3 days, 23:19:07 time: 0.4062 data_time: 0.0163 memory: 13431 grad_norm: 2.4313 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2786 loss: 3.2786 2022/08/13 19:17:57 - mmengine - INFO - Epoch(train) [28][3200/3757] lr: 8.1448e-02 eta: 3 days, 23:18:25 time: 0.4029 data_time: 0.0152 memory: 13431 grad_norm: 2.4183 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0889 loss: 3.0889 2022/08/13 19:18:37 - mmengine - INFO - Epoch(train) [28][3300/3757] lr: 8.1517e-02 eta: 3 days, 23:17:46 time: 0.4044 data_time: 0.0143 memory: 13431 grad_norm: 2.4170 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.0923 loss: 3.0923 2022/08/13 19:19:17 - mmengine - INFO - Epoch(train) [28][3400/3757] lr: 8.1585e-02 eta: 3 days, 23:17:08 time: 0.4157 data_time: 0.0156 memory: 13431 grad_norm: 2.4234 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0139 loss: 3.0139 2022/08/13 19:19:57 - mmengine - INFO - Epoch(train) [28][3500/3757] lr: 8.1654e-02 eta: 3 days, 23:16:28 time: 0.3980 data_time: 0.0141 memory: 13431 grad_norm: 2.4126 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 3.0966 loss: 3.0966 2022/08/13 19:20:22 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 19:20:38 - mmengine - INFO - Epoch(train) [28][3600/3757] lr: 8.1722e-02 eta: 3 days, 23:15:50 time: 0.4048 data_time: 0.0159 memory: 13431 grad_norm: 2.4049 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6311 loss: 2.6311 2022/08/13 19:21:18 - mmengine - INFO - Epoch(train) [28][3700/3757] lr: 8.1791e-02 eta: 3 days, 23:15:10 time: 0.3974 data_time: 0.0148 memory: 13431 grad_norm: 2.3595 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9019 loss: 2.9019 2022/08/13 19:21:40 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 19:21:40 - mmengine - INFO - Epoch(train) [28][3757/3757] lr: 8.1830e-02 eta: 3 days, 23:14:54 time: 0.3866 data_time: 0.0149 memory: 13431 grad_norm: 2.3583 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 2.7486 loss: 2.7486 2022/08/13 19:21:40 - mmengine - INFO - Saving checkpoint at 28 epochs 2022/08/13 19:22:26 - mmengine - INFO - Epoch(train) [29][100/3757] lr: 8.1727e-02 eta: 3 days, 23:13:20 time: 0.3958 data_time: 0.0148 memory: 13431 grad_norm: 2.3915 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0547 loss: 3.0547 2022/08/13 19:23:06 - mmengine - INFO - Epoch(train) [29][200/3757] lr: 8.1796e-02 eta: 3 days, 23:12:39 time: 0.3945 data_time: 0.0143 memory: 13431 grad_norm: 2.3910 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1791 loss: 3.1791 2022/08/13 19:23:46 - mmengine - INFO - Epoch(train) [29][300/3757] lr: 8.1864e-02 eta: 3 days, 23:11:59 time: 0.3964 data_time: 0.0139 memory: 13431 grad_norm: 2.3929 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0998 loss: 3.0998 2022/08/13 19:24:26 - mmengine - INFO - Epoch(train) [29][400/3757] lr: 8.1933e-02 eta: 3 days, 23:11:19 time: 0.3943 data_time: 0.0140 memory: 13431 grad_norm: 2.3727 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.8940 loss: 2.8940 2022/08/13 19:25:06 - mmengine - INFO - Epoch(train) [29][500/3757] lr: 8.2001e-02 eta: 3 days, 23:10:40 time: 0.4026 data_time: 0.0152 memory: 13431 grad_norm: 2.4342 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1701 loss: 3.1701 2022/08/13 19:25:46 - mmengine - INFO - Epoch(train) [29][600/3757] lr: 8.2069e-02 eta: 3 days, 23:10:01 time: 0.4035 data_time: 0.0163 memory: 13431 grad_norm: 2.3854 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9505 loss: 2.9505 2022/08/13 19:26:26 - mmengine - INFO - Epoch(train) [29][700/3757] lr: 8.2138e-02 eta: 3 days, 23:09:20 time: 0.3944 data_time: 0.0149 memory: 13431 grad_norm: 2.3225 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0163 loss: 3.0163 2022/08/13 19:27:06 - mmengine - INFO - Epoch(train) [29][800/3757] lr: 8.2206e-02 eta: 3 days, 23:08:38 time: 0.3957 data_time: 0.0137 memory: 13431 grad_norm: 2.4004 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.0305 loss: 3.0305 2022/08/13 19:27:08 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 19:27:46 - mmengine - INFO - Epoch(train) [29][900/3757] lr: 8.2275e-02 eta: 3 days, 23:07:57 time: 0.3958 data_time: 0.0142 memory: 13431 grad_norm: 2.3902 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1818 loss: 3.1818 2022/08/13 19:28:26 - mmengine - INFO - Epoch(train) [29][1000/3757] lr: 8.2343e-02 eta: 3 days, 23:07:15 time: 0.3963 data_time: 0.0140 memory: 13431 grad_norm: 2.4537 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0774 loss: 3.0774 2022/08/13 19:29:06 - mmengine - INFO - Epoch(train) [29][1100/3757] lr: 8.2411e-02 eta: 3 days, 23:06:36 time: 0.4017 data_time: 0.0163 memory: 13431 grad_norm: 2.2828 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1835 loss: 3.1835 2022/08/13 19:29:46 - mmengine - INFO - Epoch(train) [29][1200/3757] lr: 8.2480e-02 eta: 3 days, 23:05:57 time: 0.4040 data_time: 0.0170 memory: 13431 grad_norm: 2.3827 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 2.9052 loss: 2.9052 2022/08/13 19:30:26 - mmengine - INFO - Epoch(train) [29][1300/3757] lr: 8.2548e-02 eta: 3 days, 23:05:19 time: 0.3975 data_time: 0.0148 memory: 13431 grad_norm: 2.3488 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1806 loss: 3.1806 2022/08/13 19:31:07 - mmengine - INFO - Epoch(train) [29][1400/3757] lr: 8.2617e-02 eta: 3 days, 23:04:40 time: 0.3983 data_time: 0.0140 memory: 13431 grad_norm: 2.3891 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7661 loss: 2.7661 2022/08/13 19:31:47 - mmengine - INFO - Epoch(train) [29][1500/3757] lr: 8.2685e-02 eta: 3 days, 23:03:59 time: 0.3946 data_time: 0.0135 memory: 13431 grad_norm: 2.3942 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2949 loss: 3.2949 2022/08/13 19:32:27 - mmengine - INFO - Epoch(train) [29][1600/3757] lr: 8.2753e-02 eta: 3 days, 23:03:19 time: 0.4026 data_time: 0.0144 memory: 13431 grad_norm: 2.4845 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3388 loss: 3.3388 2022/08/13 19:33:07 - mmengine - INFO - Epoch(train) [29][1700/3757] lr: 8.2822e-02 eta: 3 days, 23:02:39 time: 0.4022 data_time: 0.0172 memory: 13431 grad_norm: 2.3065 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7047 loss: 2.7047 2022/08/13 19:33:47 - mmengine - INFO - Epoch(train) [29][1800/3757] lr: 8.2890e-02 eta: 3 days, 23:02:00 time: 0.4025 data_time: 0.0136 memory: 13431 grad_norm: 2.3347 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0133 loss: 3.0133 2022/08/13 19:33:48 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 19:34:27 - mmengine - INFO - Epoch(train) [29][1900/3757] lr: 8.2958e-02 eta: 3 days, 23:01:22 time: 0.4046 data_time: 0.0155 memory: 13431 grad_norm: 2.4094 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0820 loss: 3.0820 2022/08/13 19:35:07 - mmengine - INFO - Epoch(train) [29][2000/3757] lr: 8.3027e-02 eta: 3 days, 23:00:42 time: 0.4000 data_time: 0.0158 memory: 13431 grad_norm: 2.3812 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7260 loss: 2.7260 2022/08/13 19:35:47 - mmengine - INFO - Epoch(train) [29][2100/3757] lr: 8.3095e-02 eta: 3 days, 23:00:02 time: 0.3959 data_time: 0.0148 memory: 13431 grad_norm: 2.3863 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8683 loss: 2.8683 2022/08/13 19:36:27 - mmengine - INFO - Epoch(train) [29][2200/3757] lr: 8.3164e-02 eta: 3 days, 22:59:22 time: 0.3941 data_time: 0.0142 memory: 13431 grad_norm: 2.3832 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9979 loss: 2.9979 2022/08/13 19:37:07 - mmengine - INFO - Epoch(train) [29][2300/3757] lr: 8.3232e-02 eta: 3 days, 22:58:42 time: 0.3963 data_time: 0.0150 memory: 13431 grad_norm: 2.3478 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.3363 loss: 3.3363 2022/08/13 19:37:48 - mmengine - INFO - Epoch(train) [29][2400/3757] lr: 8.3300e-02 eta: 3 days, 22:58:03 time: 0.3987 data_time: 0.0143 memory: 13431 grad_norm: 2.4527 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0748 loss: 3.0748 2022/08/13 19:38:28 - mmengine - INFO - Epoch(train) [29][2500/3757] lr: 8.3369e-02 eta: 3 days, 22:57:22 time: 0.3959 data_time: 0.0148 memory: 13431 grad_norm: 2.3855 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4527 loss: 3.4527 2022/08/13 19:39:08 - mmengine - INFO - Epoch(train) [29][2600/3757] lr: 8.3437e-02 eta: 3 days, 22:56:47 time: 0.4064 data_time: 0.0158 memory: 13431 grad_norm: 2.3942 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.2102 loss: 3.2102 2022/08/13 19:39:49 - mmengine - INFO - Epoch(train) [29][2700/3757] lr: 8.3506e-02 eta: 3 days, 22:56:09 time: 0.4106 data_time: 0.0158 memory: 13431 grad_norm: 2.3217 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8341 loss: 2.8341 2022/08/13 19:40:29 - mmengine - INFO - Epoch(train) [29][2800/3757] lr: 8.3574e-02 eta: 3 days, 22:55:33 time: 0.4143 data_time: 0.0156 memory: 13431 grad_norm: 2.4275 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3630 loss: 3.3630 2022/08/13 19:40:31 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 19:41:09 - mmengine - INFO - Epoch(train) [29][2900/3757] lr: 8.3642e-02 eta: 3 days, 22:54:54 time: 0.4045 data_time: 0.0146 memory: 13431 grad_norm: 2.3657 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8707 loss: 2.8707 2022/08/13 19:41:50 - mmengine - INFO - Epoch(train) [29][3000/3757] lr: 8.3711e-02 eta: 3 days, 22:54:17 time: 0.4069 data_time: 0.0153 memory: 13431 grad_norm: 2.3419 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1499 loss: 3.1499 2022/08/13 19:42:30 - mmengine - INFO - Epoch(train) [29][3100/3757] lr: 8.3779e-02 eta: 3 days, 22:53:38 time: 0.4091 data_time: 0.0170 memory: 13431 grad_norm: 2.3941 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0658 loss: 3.0658 2022/08/13 19:43:10 - mmengine - INFO - Epoch(train) [29][3200/3757] lr: 8.3848e-02 eta: 3 days, 22:53:01 time: 0.4244 data_time: 0.0158 memory: 13431 grad_norm: 2.3901 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9536 loss: 2.9536 2022/08/13 19:43:51 - mmengine - INFO - Epoch(train) [29][3300/3757] lr: 8.3916e-02 eta: 3 days, 22:52:26 time: 0.4117 data_time: 0.0146 memory: 13431 grad_norm: 2.3593 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1225 loss: 3.1225 2022/08/13 19:44:31 - mmengine - INFO - Epoch(train) [29][3400/3757] lr: 8.3984e-02 eta: 3 days, 22:51:46 time: 0.4025 data_time: 0.0150 memory: 13431 grad_norm: 2.3032 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2850 loss: 3.2850 2022/08/13 19:45:11 - mmengine - INFO - Epoch(train) [29][3500/3757] lr: 8.4053e-02 eta: 3 days, 22:51:05 time: 0.3968 data_time: 0.0156 memory: 13431 grad_norm: 2.3565 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9740 loss: 2.9740 2022/08/13 19:45:51 - mmengine - INFO - Epoch(train) [29][3600/3757] lr: 8.4121e-02 eta: 3 days, 22:50:23 time: 0.3961 data_time: 0.0141 memory: 13431 grad_norm: 2.4140 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0062 loss: 3.0062 2022/08/13 19:46:31 - mmengine - INFO - Epoch(train) [29][3700/3757] lr: 8.4190e-02 eta: 3 days, 22:49:41 time: 0.3955 data_time: 0.0134 memory: 13431 grad_norm: 2.3140 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0821 loss: 3.0821 2022/08/13 19:46:53 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 19:46:53 - mmengine - INFO - Epoch(train) [29][3757/3757] lr: 8.4229e-02 eta: 3 days, 22:49:26 time: 0.3838 data_time: 0.0130 memory: 13431 grad_norm: 2.3879 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 3.0852 loss: 3.0852 2022/08/13 19:47:14 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 19:47:35 - mmengine - INFO - Epoch(train) [30][100/3757] lr: 8.4114e-02 eta: 3 days, 22:48:00 time: 0.3957 data_time: 0.0133 memory: 13431 grad_norm: 2.3475 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7953 loss: 2.7953 2022/08/13 19:48:16 - mmengine - INFO - Epoch(train) [30][200/3757] lr: 8.4183e-02 eta: 3 days, 22:47:22 time: 0.3976 data_time: 0.0140 memory: 13431 grad_norm: 2.3965 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1311 loss: 3.1311 2022/08/13 19:48:56 - mmengine - INFO - Epoch(train) [30][300/3757] lr: 8.4251e-02 eta: 3 days, 22:46:42 time: 0.3959 data_time: 0.0155 memory: 13431 grad_norm: 2.3700 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0192 loss: 3.0192 2022/08/13 19:49:36 - mmengine - INFO - Epoch(train) [30][400/3757] lr: 8.4319e-02 eta: 3 days, 22:46:02 time: 0.4047 data_time: 0.0162 memory: 13431 grad_norm: 2.3481 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9880 loss: 2.9880 2022/08/13 19:50:16 - mmengine - INFO - Epoch(train) [30][500/3757] lr: 8.4387e-02 eta: 3 days, 22:45:21 time: 0.3957 data_time: 0.0137 memory: 13431 grad_norm: 2.3044 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2019 loss: 3.2019 2022/08/13 19:50:56 - mmengine - INFO - Epoch(train) [30][600/3757] lr: 8.4456e-02 eta: 3 days, 22:44:40 time: 0.3947 data_time: 0.0138 memory: 13431 grad_norm: 2.4653 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.3409 loss: 3.3409 2022/08/13 19:51:36 - mmengine - INFO - Epoch(train) [30][700/3757] lr: 8.4524e-02 eta: 3 days, 22:43:59 time: 0.3967 data_time: 0.0147 memory: 13431 grad_norm: 2.3596 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0419 loss: 3.0419 2022/08/13 19:52:16 - mmengine - INFO - Epoch(train) [30][800/3757] lr: 8.4592e-02 eta: 3 days, 22:43:18 time: 0.3967 data_time: 0.0148 memory: 13431 grad_norm: 2.4955 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1884 loss: 3.1884 2022/08/13 19:52:56 - mmengine - INFO - Epoch(train) [30][900/3757] lr: 8.4660e-02 eta: 3 days, 22:42:40 time: 0.3949 data_time: 0.0148 memory: 13431 grad_norm: 2.3414 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1539 loss: 3.1539 2022/08/13 19:53:36 - mmengine - INFO - Epoch(train) [30][1000/3757] lr: 8.4729e-02 eta: 3 days, 22:42:02 time: 0.3964 data_time: 0.0134 memory: 13431 grad_norm: 2.4882 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8245 loss: 2.8245 2022/08/13 19:53:55 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 19:54:16 - mmengine - INFO - Epoch(train) [30][1100/3757] lr: 8.4797e-02 eta: 3 days, 22:41:22 time: 0.3963 data_time: 0.0139 memory: 13431 grad_norm: 2.3309 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0724 loss: 3.0724 2022/08/13 19:54:56 - mmengine - INFO - Epoch(train) [30][1200/3757] lr: 8.4865e-02 eta: 3 days, 22:40:41 time: 0.3956 data_time: 0.0141 memory: 13431 grad_norm: 2.2950 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2223 loss: 3.2223 2022/08/13 19:55:36 - mmengine - INFO - Epoch(train) [30][1300/3757] lr: 8.4933e-02 eta: 3 days, 22:40:01 time: 0.3958 data_time: 0.0142 memory: 13431 grad_norm: 2.3799 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2917 loss: 3.2917 2022/08/13 19:56:16 - mmengine - INFO - Epoch(train) [30][1400/3757] lr: 8.5002e-02 eta: 3 days, 22:39:20 time: 0.3949 data_time: 0.0164 memory: 13431 grad_norm: 2.4100 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.9914 loss: 2.9914 2022/08/13 19:56:56 - mmengine - INFO - Epoch(train) [30][1500/3757] lr: 8.5070e-02 eta: 3 days, 22:38:40 time: 0.3980 data_time: 0.0150 memory: 13431 grad_norm: 2.3903 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1142 loss: 3.1142 2022/08/13 19:57:36 - mmengine - INFO - Epoch(train) [30][1600/3757] lr: 8.5138e-02 eta: 3 days, 22:38:01 time: 0.4003 data_time: 0.0154 memory: 13431 grad_norm: 2.3232 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1691 loss: 3.1691 2022/08/13 19:58:17 - mmengine - INFO - Epoch(train) [30][1700/3757] lr: 8.5206e-02 eta: 3 days, 22:37:23 time: 0.3989 data_time: 0.0150 memory: 13431 grad_norm: 2.4083 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6200 loss: 2.6200 2022/08/13 19:58:57 - mmengine - INFO - Epoch(train) [30][1800/3757] lr: 8.5275e-02 eta: 3 days, 22:36:43 time: 0.3960 data_time: 0.0139 memory: 13431 grad_norm: 2.3926 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.2158 loss: 3.2158 2022/08/13 19:59:37 - mmengine - INFO - Epoch(train) [30][1900/3757] lr: 8.5343e-02 eta: 3 days, 22:36:06 time: 0.4022 data_time: 0.0139 memory: 13431 grad_norm: 2.3844 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1373 loss: 3.1373 2022/08/13 20:00:17 - mmengine - INFO - Epoch(train) [30][2000/3757] lr: 8.5411e-02 eta: 3 days, 22:35:27 time: 0.4038 data_time: 0.0149 memory: 13431 grad_norm: 2.3214 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0983 loss: 3.0983 2022/08/13 20:00:36 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 20:00:58 - mmengine - INFO - Epoch(train) [30][2100/3757] lr: 8.5479e-02 eta: 3 days, 22:34:47 time: 0.4018 data_time: 0.0139 memory: 13431 grad_norm: 2.4392 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9805 loss: 2.9805 2022/08/13 20:01:38 - mmengine - INFO - Epoch(train) [30][2200/3757] lr: 8.5548e-02 eta: 3 days, 22:34:07 time: 0.4007 data_time: 0.0141 memory: 13431 grad_norm: 2.4177 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1374 loss: 3.1374 2022/08/13 20:02:18 - mmengine - INFO - Epoch(train) [30][2300/3757] lr: 8.5616e-02 eta: 3 days, 22:33:28 time: 0.4045 data_time: 0.0135 memory: 13431 grad_norm: 2.3472 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.1382 loss: 3.1382 2022/08/13 20:02:58 - mmengine - INFO - Epoch(train) [30][2400/3757] lr: 8.5684e-02 eta: 3 days, 22:32:49 time: 0.3952 data_time: 0.0141 memory: 13431 grad_norm: 2.4699 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.0909 loss: 3.0909 2022/08/13 20:03:38 - mmengine - INFO - Epoch(train) [30][2500/3757] lr: 8.5752e-02 eta: 3 days, 22:32:07 time: 0.3984 data_time: 0.0139 memory: 13431 grad_norm: 2.3475 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9294 loss: 2.9294 2022/08/13 20:04:18 - mmengine - INFO - Epoch(train) [30][2600/3757] lr: 8.5821e-02 eta: 3 days, 22:31:28 time: 0.4033 data_time: 0.0139 memory: 13431 grad_norm: 2.3876 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7328 loss: 2.7328 2022/08/13 20:04:58 - mmengine - INFO - Epoch(train) [30][2700/3757] lr: 8.5889e-02 eta: 3 days, 22:30:48 time: 0.4043 data_time: 0.0140 memory: 13431 grad_norm: 2.3704 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0451 loss: 3.0451 2022/08/13 20:05:38 - mmengine - INFO - Epoch(train) [30][2800/3757] lr: 8.5957e-02 eta: 3 days, 22:30:08 time: 0.4006 data_time: 0.0149 memory: 13431 grad_norm: 2.3441 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0452 loss: 3.0452 2022/08/13 20:06:18 - mmengine - INFO - Epoch(train) [30][2900/3757] lr: 8.6025e-02 eta: 3 days, 22:29:27 time: 0.3982 data_time: 0.0139 memory: 13431 grad_norm: 2.4068 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.1184 loss: 3.1184 2022/08/13 20:06:58 - mmengine - INFO - Epoch(train) [30][3000/3757] lr: 8.6094e-02 eta: 3 days, 22:28:47 time: 0.3995 data_time: 0.0139 memory: 13431 grad_norm: 2.3222 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9397 loss: 2.9397 2022/08/13 20:07:17 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 20:07:38 - mmengine - INFO - Epoch(train) [30][3100/3757] lr: 8.6162e-02 eta: 3 days, 22:28:09 time: 0.3952 data_time: 0.0140 memory: 13431 grad_norm: 2.3277 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9940 loss: 2.9940 2022/08/13 20:08:19 - mmengine - INFO - Epoch(train) [30][3200/3757] lr: 8.6230e-02 eta: 3 days, 22:27:31 time: 0.3978 data_time: 0.0150 memory: 13431 grad_norm: 2.4527 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0770 loss: 3.0770 2022/08/13 20:08:59 - mmengine - INFO - Epoch(train) [30][3300/3757] lr: 8.6298e-02 eta: 3 days, 22:26:50 time: 0.3982 data_time: 0.0157 memory: 13431 grad_norm: 2.4129 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.3128 loss: 3.3128 2022/08/13 20:09:39 - mmengine - INFO - Epoch(train) [30][3400/3757] lr: 8.6367e-02 eta: 3 days, 22:26:10 time: 0.4057 data_time: 0.0165 memory: 13431 grad_norm: 2.3868 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9980 loss: 2.9980 2022/08/13 20:10:18 - mmengine - INFO - Epoch(train) [30][3500/3757] lr: 8.6435e-02 eta: 3 days, 22:25:28 time: 0.3960 data_time: 0.0137 memory: 13431 grad_norm: 2.2903 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1874 loss: 3.1874 2022/08/13 20:10:58 - mmengine - INFO - Epoch(train) [30][3600/3757] lr: 8.6503e-02 eta: 3 days, 22:24:46 time: 0.3956 data_time: 0.0158 memory: 13431 grad_norm: 2.3651 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9403 loss: 2.9403 2022/08/13 20:11:38 - mmengine - INFO - Epoch(train) [30][3700/3757] lr: 8.6571e-02 eta: 3 days, 22:24:07 time: 0.4006 data_time: 0.0141 memory: 13431 grad_norm: 2.3744 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1509 loss: 3.1509 2022/08/13 20:12:01 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 20:12:01 - mmengine - INFO - Epoch(train) [30][3757/3757] lr: 8.6610e-02 eta: 3 days, 22:23:53 time: 0.3844 data_time: 0.0139 memory: 13431 grad_norm: 2.3710 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 2.9400 loss: 2.9400 2022/08/13 20:12:24 - mmengine - INFO - Epoch(val) [30][100/310] eta: 0:00:47 time: 0.2239 data_time: 0.0950 memory: 1974 2022/08/13 20:12:45 - mmengine - INFO - Epoch(val) [30][200/310] eta: 0:00:21 time: 0.1938 data_time: 0.0655 memory: 1974 2022/08/13 20:13:06 - mmengine - INFO - Epoch(val) [30][300/310] eta: 0:00:02 time: 0.2076 data_time: 0.0803 memory: 1974 2022/08/13 20:13:11 - mmengine - INFO - Epoch(val) [30][310/310] acc/top1: 0.3789 acc/top5: 0.6578 acc/mean1: 0.3786 2022/08/13 20:13:53 - mmengine - INFO - Epoch(train) [31][100/3757] lr: 8.6484e-02 eta: 3 days, 22:22:28 time: 0.3984 data_time: 0.0163 memory: 13431 grad_norm: 2.3369 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0823 loss: 3.0823 2022/08/13 20:14:33 - mmengine - INFO - Epoch(train) [31][200/3757] lr: 8.6552e-02 eta: 3 days, 22:21:45 time: 0.3957 data_time: 0.0142 memory: 13431 grad_norm: 2.3207 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.2280 loss: 3.2280 2022/08/13 20:15:09 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 20:15:13 - mmengine - INFO - Epoch(train) [31][300/3757] lr: 8.6620e-02 eta: 3 days, 22:21:05 time: 0.3973 data_time: 0.0147 memory: 13431 grad_norm: 2.3574 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8983 loss: 2.8983 2022/08/13 20:15:53 - mmengine - INFO - Epoch(train) [31][400/3757] lr: 8.6688e-02 eta: 3 days, 22:20:24 time: 0.3964 data_time: 0.0135 memory: 13431 grad_norm: 2.2956 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1335 loss: 3.1335 2022/08/13 20:16:33 - mmengine - INFO - Epoch(train) [31][500/3757] lr: 8.6757e-02 eta: 3 days, 22:19:42 time: 0.3986 data_time: 0.0149 memory: 13431 grad_norm: 2.3805 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2716 loss: 3.2716 2022/08/13 20:17:13 - mmengine - INFO - Epoch(train) [31][600/3757] lr: 8.6825e-02 eta: 3 days, 22:19:05 time: 0.4077 data_time: 0.0141 memory: 13431 grad_norm: 2.3739 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1101 loss: 3.1101 2022/08/13 20:17:53 - mmengine - INFO - Epoch(train) [31][700/3757] lr: 8.6893e-02 eta: 3 days, 22:18:24 time: 0.3963 data_time: 0.0144 memory: 13431 grad_norm: 2.3568 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9250 loss: 2.9250 2022/08/13 20:18:33 - mmengine - INFO - Epoch(train) [31][800/3757] lr: 8.6961e-02 eta: 3 days, 22:17:45 time: 0.3988 data_time: 0.0138 memory: 13431 grad_norm: 2.4165 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1798 loss: 3.1798 2022/08/13 20:19:13 - mmengine - INFO - Epoch(train) [31][900/3757] lr: 8.7029e-02 eta: 3 days, 22:17:06 time: 0.4040 data_time: 0.0145 memory: 13431 grad_norm: 2.2628 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.0961 loss: 3.0961 2022/08/13 20:19:53 - mmengine - INFO - Epoch(train) [31][1000/3757] lr: 8.7097e-02 eta: 3 days, 22:16:23 time: 0.3969 data_time: 0.0134 memory: 13431 grad_norm: 2.2894 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7450 loss: 2.7450 2022/08/13 20:20:33 - mmengine - INFO - Epoch(train) [31][1100/3757] lr: 8.7165e-02 eta: 3 days, 22:15:42 time: 0.3971 data_time: 0.0159 memory: 13431 grad_norm: 2.3277 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2097 loss: 3.2097 2022/08/13 20:21:13 - mmengine - INFO - Epoch(train) [31][1200/3757] lr: 8.7233e-02 eta: 3 days, 22:15:01 time: 0.3970 data_time: 0.0142 memory: 13431 grad_norm: 2.3261 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.9665 loss: 2.9665 2022/08/13 20:21:49 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 20:21:53 - mmengine - INFO - Epoch(train) [31][1300/3757] lr: 8.7301e-02 eta: 3 days, 22:14:22 time: 0.4060 data_time: 0.0142 memory: 13431 grad_norm: 2.3729 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1580 loss: 3.1580 2022/08/13 20:22:33 - mmengine - INFO - Epoch(train) [31][1400/3757] lr: 8.7369e-02 eta: 3 days, 22:13:42 time: 0.3972 data_time: 0.0136 memory: 13431 grad_norm: 2.2966 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9557 loss: 2.9557 2022/08/13 20:23:13 - mmengine - INFO - Epoch(train) [31][1500/3757] lr: 8.7438e-02 eta: 3 days, 22:13:02 time: 0.4127 data_time: 0.0137 memory: 13431 grad_norm: 2.3450 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2043 loss: 3.2043 2022/08/13 20:23:53 - mmengine - INFO - Epoch(train) [31][1600/3757] lr: 8.7506e-02 eta: 3 days, 22:12:21 time: 0.3960 data_time: 0.0142 memory: 13431 grad_norm: 2.3908 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2502 loss: 3.2502 2022/08/13 20:24:33 - mmengine - INFO - Epoch(train) [31][1700/3757] lr: 8.7574e-02 eta: 3 days, 22:11:39 time: 0.3970 data_time: 0.0134 memory: 13431 grad_norm: 2.3006 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0083 loss: 3.0083 2022/08/13 20:25:13 - mmengine - INFO - Epoch(train) [31][1800/3757] lr: 8.7642e-02 eta: 3 days, 22:11:01 time: 0.3962 data_time: 0.0155 memory: 13431 grad_norm: 2.4182 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9260 loss: 2.9260 2022/08/13 20:25:54 - mmengine - INFO - Epoch(train) [31][1900/3757] lr: 8.7710e-02 eta: 3 days, 22:10:24 time: 0.3966 data_time: 0.0141 memory: 13431 grad_norm: 2.2635 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8547 loss: 2.8547 2022/08/13 20:26:35 - mmengine - INFO - Epoch(train) [31][2000/3757] lr: 8.7778e-02 eta: 3 days, 22:09:49 time: 0.4122 data_time: 0.0155 memory: 13431 grad_norm: 2.3131 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.1046 loss: 3.1046 2022/08/13 20:27:15 - mmengine - INFO - Epoch(train) [31][2100/3757] lr: 8.7846e-02 eta: 3 days, 22:09:10 time: 0.4120 data_time: 0.0147 memory: 13431 grad_norm: 2.4734 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2221 loss: 3.2221 2022/08/13 20:27:56 - mmengine - INFO - Epoch(train) [31][2200/3757] lr: 8.7914e-02 eta: 3 days, 22:08:35 time: 0.4232 data_time: 0.0148 memory: 13431 grad_norm: 2.3935 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.1795 loss: 3.1795 2022/08/13 20:28:36 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 20:28:40 - mmengine - INFO - Epoch(train) [31][2300/3757] lr: 8.7982e-02 eta: 3 days, 22:08:29 time: 0.6301 data_time: 0.0221 memory: 13431 grad_norm: 2.4138 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.3251 loss: 3.3251 2022/08/13 20:29:20 - mmengine - INFO - Epoch(train) [31][2400/3757] lr: 8.8050e-02 eta: 3 days, 22:07:49 time: 0.3973 data_time: 0.0133 memory: 13431 grad_norm: 2.3625 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7940 loss: 2.7940 2022/08/13 20:30:00 - mmengine - INFO - Epoch(train) [31][2500/3757] lr: 8.8118e-02 eta: 3 days, 22:07:10 time: 0.3974 data_time: 0.0147 memory: 13431 grad_norm: 2.3314 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0164 loss: 3.0164 2022/08/13 20:30:41 - mmengine - INFO - Epoch(train) [31][2600/3757] lr: 8.8187e-02 eta: 3 days, 22:06:35 time: 0.3974 data_time: 0.0147 memory: 13431 grad_norm: 2.3527 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9682 loss: 2.9682 2022/08/13 20:31:22 - mmengine - INFO - Epoch(train) [31][2700/3757] lr: 8.8255e-02 eta: 3 days, 22:05:59 time: 0.4057 data_time: 0.0151 memory: 13431 grad_norm: 2.2897 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9938 loss: 2.9938 2022/08/13 20:32:02 - mmengine - INFO - Epoch(train) [31][2800/3757] lr: 8.8323e-02 eta: 3 days, 22:05:18 time: 0.4007 data_time: 0.0151 memory: 13431 grad_norm: 2.3307 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.1356 loss: 3.1356 2022/08/13 20:32:42 - mmengine - INFO - Epoch(train) [31][2900/3757] lr: 8.8391e-02 eta: 3 days, 22:04:38 time: 0.3953 data_time: 0.0152 memory: 13431 grad_norm: 2.2698 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8308 loss: 2.8308 2022/08/13 20:33:22 - mmengine - INFO - Epoch(train) [31][3000/3757] lr: 8.8459e-02 eta: 3 days, 22:04:01 time: 0.4059 data_time: 0.0159 memory: 13431 grad_norm: 2.4079 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0842 loss: 3.0842 2022/08/13 20:34:03 - mmengine - INFO - Epoch(train) [31][3100/3757] lr: 8.8527e-02 eta: 3 days, 22:03:24 time: 0.4151 data_time: 0.0144 memory: 13431 grad_norm: 2.3339 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.2179 loss: 3.2179 2022/08/13 20:34:43 - mmengine - INFO - Epoch(train) [31][3200/3757] lr: 8.8595e-02 eta: 3 days, 22:02:44 time: 0.4065 data_time: 0.0161 memory: 13431 grad_norm: 2.2951 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1304 loss: 3.1304 2022/08/13 20:35:19 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 20:35:23 - mmengine - INFO - Epoch(train) [31][3300/3757] lr: 8.8663e-02 eta: 3 days, 22:02:06 time: 0.4106 data_time: 0.0161 memory: 13431 grad_norm: 2.3572 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7880 loss: 2.7880 2022/08/13 20:36:04 - mmengine - INFO - Epoch(train) [31][3400/3757] lr: 8.8731e-02 eta: 3 days, 22:01:29 time: 0.4157 data_time: 0.0131 memory: 13431 grad_norm: 2.3266 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1635 loss: 3.1635 2022/08/13 20:36:44 - mmengine - INFO - Epoch(train) [31][3500/3757] lr: 8.8799e-02 eta: 3 days, 22:00:53 time: 0.4093 data_time: 0.0155 memory: 13431 grad_norm: 2.2729 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8826 loss: 2.8826 2022/08/13 20:37:25 - mmengine - INFO - Epoch(train) [31][3600/3757] lr: 8.8868e-02 eta: 3 days, 22:00:17 time: 0.4331 data_time: 0.0150 memory: 13431 grad_norm: 2.4049 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0802 loss: 3.0802 2022/08/13 20:38:05 - mmengine - INFO - Epoch(train) [31][3700/3757] lr: 8.8936e-02 eta: 3 days, 21:59:37 time: 0.4078 data_time: 0.0153 memory: 13431 grad_norm: 2.3168 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2299 loss: 3.2299 2022/08/13 20:38:28 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 20:38:28 - mmengine - INFO - Epoch(train) [31][3757/3757] lr: 8.8974e-02 eta: 3 days, 21:59:21 time: 0.3850 data_time: 0.0136 memory: 13431 grad_norm: 2.3278 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 2.9755 loss: 2.9755 2022/08/13 20:39:09 - mmengine - INFO - Epoch(train) [32][100/3757] lr: 8.8836e-02 eta: 3 days, 21:57:58 time: 0.3973 data_time: 0.0158 memory: 13431 grad_norm: 2.3254 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2000 loss: 3.2000 2022/08/13 20:39:49 - mmengine - INFO - Epoch(train) [32][200/3757] lr: 8.8904e-02 eta: 3 days, 21:57:17 time: 0.3954 data_time: 0.0142 memory: 13431 grad_norm: 2.3491 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2930 loss: 3.2930 2022/08/13 20:40:30 - mmengine - INFO - Epoch(train) [32][300/3757] lr: 8.8972e-02 eta: 3 days, 21:56:38 time: 0.4054 data_time: 0.0141 memory: 13431 grad_norm: 2.4012 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3563 loss: 3.3563 2022/08/13 20:41:10 - mmengine - INFO - Epoch(train) [32][400/3757] lr: 8.9040e-02 eta: 3 days, 21:56:01 time: 0.3958 data_time: 0.0138 memory: 13431 grad_norm: 2.3420 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9803 loss: 2.9803 2022/08/13 20:41:50 - mmengine - INFO - Epoch(train) [32][500/3757] lr: 8.9108e-02 eta: 3 days, 21:55:21 time: 0.3953 data_time: 0.0141 memory: 13431 grad_norm: 2.3137 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1128 loss: 3.1128 2022/08/13 20:42:03 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 20:42:30 - mmengine - INFO - Epoch(train) [32][600/3757] lr: 8.9176e-02 eta: 3 days, 21:54:42 time: 0.3971 data_time: 0.0143 memory: 13431 grad_norm: 2.3863 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1803 loss: 3.1803 2022/08/13 20:43:10 - mmengine - INFO - Epoch(train) [32][700/3757] lr: 8.9244e-02 eta: 3 days, 21:54:01 time: 0.3965 data_time: 0.0147 memory: 13431 grad_norm: 2.3688 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8298 loss: 2.8298 2022/08/13 20:43:50 - mmengine - INFO - Epoch(train) [32][800/3757] lr: 8.9311e-02 eta: 3 days, 21:53:20 time: 0.3961 data_time: 0.0135 memory: 13431 grad_norm: 2.3382 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3191 loss: 3.3191 2022/08/13 20:44:30 - mmengine - INFO - Epoch(train) [32][900/3757] lr: 8.9379e-02 eta: 3 days, 21:52:41 time: 0.3955 data_time: 0.0137 memory: 13431 grad_norm: 2.2959 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.3668 loss: 3.3668 2022/08/13 20:45:11 - mmengine - INFO - Epoch(train) [32][1000/3757] lr: 8.9447e-02 eta: 3 days, 21:52:04 time: 0.4035 data_time: 0.0134 memory: 13431 grad_norm: 2.3677 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7947 loss: 2.7947 2022/08/13 20:45:51 - mmengine - INFO - Epoch(train) [32][1100/3757] lr: 8.9515e-02 eta: 3 days, 21:51:27 time: 0.3969 data_time: 0.0138 memory: 13431 grad_norm: 2.3183 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 3.0856 loss: 3.0856 2022/08/13 20:46:32 - mmengine - INFO - Epoch(train) [32][1200/3757] lr: 8.9583e-02 eta: 3 days, 21:50:48 time: 0.3953 data_time: 0.0137 memory: 13431 grad_norm: 2.3490 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.2327 loss: 3.2327 2022/08/13 20:47:12 - mmengine - INFO - Epoch(train) [32][1300/3757] lr: 8.9651e-02 eta: 3 days, 21:50:11 time: 0.3970 data_time: 0.0137 memory: 13431 grad_norm: 2.2975 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0093 loss: 3.0093 2022/08/13 20:47:53 - mmengine - INFO - Epoch(train) [32][1400/3757] lr: 8.9719e-02 eta: 3 days, 21:49:34 time: 0.4107 data_time: 0.0151 memory: 13431 grad_norm: 2.4157 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0844 loss: 3.0844 2022/08/13 20:48:33 - mmengine - INFO - Epoch(train) [32][1500/3757] lr: 8.9787e-02 eta: 3 days, 21:48:54 time: 0.4030 data_time: 0.0147 memory: 13431 grad_norm: 2.3800 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.7858 loss: 2.7858 2022/08/13 20:48:47 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 20:49:14 - mmengine - INFO - Epoch(train) [32][1600/3757] lr: 8.9855e-02 eta: 3 days, 21:48:20 time: 0.4059 data_time: 0.0155 memory: 13431 grad_norm: 2.2769 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9998 loss: 2.9998 2022/08/13 20:49:54 - mmengine - INFO - Epoch(train) [32][1700/3757] lr: 8.9923e-02 eta: 3 days, 21:47:40 time: 0.4043 data_time: 0.0156 memory: 13431 grad_norm: 2.4096 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2035 loss: 3.2035 2022/08/13 20:50:34 - mmengine - INFO - Epoch(train) [32][1800/3757] lr: 8.9991e-02 eta: 3 days, 21:47:01 time: 0.3980 data_time: 0.0136 memory: 13431 grad_norm: 2.3015 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1386 loss: 3.1386 2022/08/13 20:51:14 - mmengine - INFO - Epoch(train) [32][1900/3757] lr: 9.0059e-02 eta: 3 days, 21:46:21 time: 0.3968 data_time: 0.0136 memory: 13431 grad_norm: 2.3431 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9063 loss: 2.9063 2022/08/13 20:51:54 - mmengine - INFO - Epoch(train) [32][2000/3757] lr: 9.0127e-02 eta: 3 days, 21:45:42 time: 0.3971 data_time: 0.0141 memory: 13431 grad_norm: 2.3404 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8653 loss: 2.8653 2022/08/13 20:52:34 - mmengine - INFO - Epoch(train) [32][2100/3757] lr: 9.0195e-02 eta: 3 days, 21:45:00 time: 0.3960 data_time: 0.0150 memory: 13431 grad_norm: 2.3545 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1965 loss: 3.1965 2022/08/13 20:53:14 - mmengine - INFO - Epoch(train) [32][2200/3757] lr: 9.0263e-02 eta: 3 days, 21:44:22 time: 0.4063 data_time: 0.0162 memory: 13431 grad_norm: 2.3104 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0247 loss: 3.0247 2022/08/13 20:53:54 - mmengine - INFO - Epoch(train) [32][2300/3757] lr: 9.0331e-02 eta: 3 days, 21:43:40 time: 0.3988 data_time: 0.0133 memory: 13431 grad_norm: 2.3293 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.3395 loss: 3.3395 2022/08/13 20:54:34 - mmengine - INFO - Epoch(train) [32][2400/3757] lr: 9.0398e-02 eta: 3 days, 21:43:01 time: 0.4010 data_time: 0.0142 memory: 13431 grad_norm: 2.2802 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.9350 loss: 2.9350 2022/08/13 20:55:15 - mmengine - INFO - Epoch(train) [32][2500/3757] lr: 9.0466e-02 eta: 3 days, 21:42:23 time: 0.3990 data_time: 0.0173 memory: 13431 grad_norm: 2.3168 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.3649 loss: 3.3649 2022/08/13 20:55:28 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 20:55:55 - mmengine - INFO - Epoch(train) [32][2600/3757] lr: 9.0534e-02 eta: 3 days, 21:41:43 time: 0.3964 data_time: 0.0141 memory: 13431 grad_norm: 2.3658 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8597 loss: 2.8597 2022/08/13 20:56:35 - mmengine - INFO - Epoch(train) [32][2700/3757] lr: 9.0602e-02 eta: 3 days, 21:41:04 time: 0.3966 data_time: 0.0142 memory: 13431 grad_norm: 2.3093 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.1719 loss: 3.1719 2022/08/13 20:57:16 - mmengine - INFO - Epoch(train) [32][2800/3757] lr: 9.0670e-02 eta: 3 days, 21:40:27 time: 0.3961 data_time: 0.0149 memory: 13431 grad_norm: 2.3341 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0283 loss: 3.0283 2022/08/13 20:57:56 - mmengine - INFO - Epoch(train) [32][2900/3757] lr: 9.0738e-02 eta: 3 days, 21:39:48 time: 0.4012 data_time: 0.0151 memory: 13431 grad_norm: 2.3759 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8698 loss: 2.8698 2022/08/13 20:58:36 - mmengine - INFO - Epoch(train) [32][3000/3757] lr: 9.0806e-02 eta: 3 days, 21:39:10 time: 0.3987 data_time: 0.0154 memory: 13431 grad_norm: 2.3527 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7756 loss: 2.7756 2022/08/13 20:59:16 - mmengine - INFO - Epoch(train) [32][3100/3757] lr: 9.0874e-02 eta: 3 days, 21:38:31 time: 0.4043 data_time: 0.0152 memory: 13431 grad_norm: 2.3081 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.0487 loss: 3.0487 2022/08/13 20:59:57 - mmengine - INFO - Epoch(train) [32][3200/3757] lr: 9.0942e-02 eta: 3 days, 21:37:55 time: 0.4082 data_time: 0.0157 memory: 13431 grad_norm: 2.3240 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2006 loss: 3.2006 2022/08/13 21:00:37 - mmengine - INFO - Epoch(train) [32][3300/3757] lr: 9.1010e-02 eta: 3 days, 21:37:15 time: 0.4000 data_time: 0.0167 memory: 13431 grad_norm: 2.2787 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2744 loss: 3.2744 2022/08/13 21:01:17 - mmengine - INFO - Epoch(train) [32][3400/3757] lr: 9.1078e-02 eta: 3 days, 21:36:35 time: 0.3946 data_time: 0.0141 memory: 13431 grad_norm: 2.3012 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8788 loss: 2.8788 2022/08/13 21:01:57 - mmengine - INFO - Epoch(train) [32][3500/3757] lr: 9.1146e-02 eta: 3 days, 21:35:56 time: 0.3984 data_time: 0.0142 memory: 13431 grad_norm: 2.4135 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2405 loss: 3.2405 2022/08/13 21:02:11 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 21:02:38 - mmengine - INFO - Epoch(train) [32][3600/3757] lr: 9.1214e-02 eta: 3 days, 21:35:17 time: 0.3990 data_time: 0.0152 memory: 13431 grad_norm: 2.3112 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8297 loss: 2.8297 2022/08/13 21:03:18 - mmengine - INFO - Epoch(train) [32][3700/3757] lr: 9.1282e-02 eta: 3 days, 21:34:38 time: 0.4052 data_time: 0.0179 memory: 13431 grad_norm: 2.2673 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1506 loss: 3.1506 2022/08/13 21:03:40 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 21:03:40 - mmengine - INFO - Epoch(train) [32][3757/3757] lr: 9.1320e-02 eta: 3 days, 21:34:22 time: 0.3891 data_time: 0.0137 memory: 13431 grad_norm: 2.2892 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.9239 loss: 2.9239 2022/08/13 21:03:40 - mmengine - INFO - Saving checkpoint at 32 epochs 2022/08/13 21:04:27 - mmengine - INFO - Epoch(train) [33][100/3757] lr: 9.1169e-02 eta: 3 days, 21:32:59 time: 0.4013 data_time: 0.0150 memory: 13431 grad_norm: 2.3064 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0110 loss: 3.0110 2022/08/13 21:05:07 - mmengine - INFO - Epoch(train) [33][200/3757] lr: 9.1237e-02 eta: 3 days, 21:32:20 time: 0.4012 data_time: 0.0155 memory: 13431 grad_norm: 2.3893 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3762 loss: 3.3762 2022/08/13 21:05:47 - mmengine - INFO - Epoch(train) [33][300/3757] lr: 9.1305e-02 eta: 3 days, 21:31:40 time: 0.4024 data_time: 0.0155 memory: 13431 grad_norm: 2.2949 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0050 loss: 3.0050 2022/08/13 21:06:27 - mmengine - INFO - Epoch(train) [33][400/3757] lr: 9.1372e-02 eta: 3 days, 21:31:01 time: 0.4047 data_time: 0.0154 memory: 13431 grad_norm: 2.2732 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3509 loss: 3.3509 2022/08/13 21:07:07 - mmengine - INFO - Epoch(train) [33][500/3757] lr: 9.1440e-02 eta: 3 days, 21:30:19 time: 0.4010 data_time: 0.0139 memory: 13431 grad_norm: 2.3219 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1363 loss: 3.1363 2022/08/13 21:07:47 - mmengine - INFO - Epoch(train) [33][600/3757] lr: 9.1508e-02 eta: 3 days, 21:29:38 time: 0.4022 data_time: 0.0155 memory: 13431 grad_norm: 2.2769 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0867 loss: 3.0867 2022/08/13 21:08:27 - mmengine - INFO - Epoch(train) [33][700/3757] lr: 9.1576e-02 eta: 3 days, 21:28:58 time: 0.4067 data_time: 0.0158 memory: 13431 grad_norm: 2.3862 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1517 loss: 3.1517 2022/08/13 21:08:58 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 21:09:07 - mmengine - INFO - Epoch(train) [33][800/3757] lr: 9.1644e-02 eta: 3 days, 21:28:19 time: 0.4034 data_time: 0.0155 memory: 13431 grad_norm: 2.3178 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1360 loss: 3.1360 2022/08/13 21:09:47 - mmengine - INFO - Epoch(train) [33][900/3757] lr: 9.1711e-02 eta: 3 days, 21:27:40 time: 0.3963 data_time: 0.0138 memory: 13431 grad_norm: 2.4012 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1366 loss: 3.1366 2022/08/13 21:10:27 - mmengine - INFO - Epoch(train) [33][1000/3757] lr: 9.1779e-02 eta: 3 days, 21:26:59 time: 0.3973 data_time: 0.0145 memory: 13431 grad_norm: 2.2530 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1103 loss: 3.1103 2022/08/13 21:11:07 - mmengine - INFO - Epoch(train) [33][1100/3757] lr: 9.1847e-02 eta: 3 days, 21:26:17 time: 0.3956 data_time: 0.0141 memory: 13431 grad_norm: 2.4022 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0530 loss: 3.0530 2022/08/13 21:11:47 - mmengine - INFO - Epoch(train) [33][1200/3757] lr: 9.1915e-02 eta: 3 days, 21:25:36 time: 0.3978 data_time: 0.0155 memory: 13431 grad_norm: 2.3855 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0458 loss: 3.0458 2022/08/13 21:12:27 - mmengine - INFO - Epoch(train) [33][1300/3757] lr: 9.1982e-02 eta: 3 days, 21:24:54 time: 0.3951 data_time: 0.0134 memory: 13431 grad_norm: 2.3230 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.2119 loss: 3.2119 2022/08/13 21:13:07 - mmengine - INFO - Epoch(train) [33][1400/3757] lr: 9.2050e-02 eta: 3 days, 21:24:15 time: 0.4025 data_time: 0.0132 memory: 13431 grad_norm: 2.3181 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0008 loss: 3.0008 2022/08/13 21:13:48 - mmengine - INFO - Epoch(train) [33][1500/3757] lr: 9.2118e-02 eta: 3 days, 21:23:38 time: 0.4113 data_time: 0.0158 memory: 13431 grad_norm: 2.2848 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.0156 loss: 3.0156 2022/08/13 21:14:28 - mmengine - INFO - Epoch(train) [33][1600/3757] lr: 9.2186e-02 eta: 3 days, 21:22:58 time: 0.3980 data_time: 0.0158 memory: 13431 grad_norm: 2.3032 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3445 loss: 3.3445 2022/08/13 21:15:08 - mmengine - INFO - Epoch(train) [33][1700/3757] lr: 9.2254e-02 eta: 3 days, 21:22:20 time: 0.3971 data_time: 0.0142 memory: 13431 grad_norm: 2.2934 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3453 loss: 3.3453 2022/08/13 21:15:39 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 21:15:48 - mmengine - INFO - Epoch(train) [33][1800/3757] lr: 9.2321e-02 eta: 3 days, 21:21:41 time: 0.3971 data_time: 0.0156 memory: 13431 grad_norm: 2.3209 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2849 loss: 3.2849 2022/08/13 21:16:28 - mmengine - INFO - Epoch(train) [33][1900/3757] lr: 9.2389e-02 eta: 3 days, 21:21:00 time: 0.3970 data_time: 0.0141 memory: 13431 grad_norm: 2.2841 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1101 loss: 3.1101 2022/08/13 21:17:08 - mmengine - INFO - Epoch(train) [33][2000/3757] lr: 9.2457e-02 eta: 3 days, 21:20:20 time: 0.3969 data_time: 0.0141 memory: 13431 grad_norm: 2.2929 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7442 loss: 2.7442 2022/08/13 21:17:48 - mmengine - INFO - Epoch(train) [33][2100/3757] lr: 9.2525e-02 eta: 3 days, 21:19:41 time: 0.4033 data_time: 0.0149 memory: 13431 grad_norm: 2.2714 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8456 loss: 2.8456 2022/08/13 21:18:30 - mmengine - INFO - Epoch(train) [33][2200/3757] lr: 9.2592e-02 eta: 3 days, 21:19:09 time: 0.4139 data_time: 0.0147 memory: 13431 grad_norm: 2.3334 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1726 loss: 3.1726 2022/08/13 21:19:10 - mmengine - INFO - Epoch(train) [33][2300/3757] lr: 9.2660e-02 eta: 3 days, 21:18:29 time: 0.4046 data_time: 0.0150 memory: 13431 grad_norm: 2.3031 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8802 loss: 2.8802 2022/08/13 21:19:50 - mmengine - INFO - Epoch(train) [33][2400/3757] lr: 9.2728e-02 eta: 3 days, 21:17:51 time: 0.3964 data_time: 0.0146 memory: 13431 grad_norm: 2.2810 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1435 loss: 3.1435 2022/08/13 21:20:30 - mmengine - INFO - Epoch(train) [33][2500/3757] lr: 9.2796e-02 eta: 3 days, 21:17:11 time: 0.3952 data_time: 0.0131 memory: 13431 grad_norm: 2.3171 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.0495 loss: 3.0495 2022/08/13 21:21:11 - mmengine - INFO - Epoch(train) [33][2600/3757] lr: 9.2863e-02 eta: 3 days, 21:16:32 time: 0.3971 data_time: 0.0138 memory: 13431 grad_norm: 2.2979 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1053 loss: 3.1053 2022/08/13 21:21:50 - mmengine - INFO - Epoch(train) [33][2700/3757] lr: 9.2931e-02 eta: 3 days, 21:15:52 time: 0.3975 data_time: 0.0142 memory: 13431 grad_norm: 2.2204 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0217 loss: 3.0217 2022/08/13 21:22:21 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 21:22:30 - mmengine - INFO - Epoch(train) [33][2800/3757] lr: 9.2999e-02 eta: 3 days, 21:15:11 time: 0.4036 data_time: 0.0150 memory: 13431 grad_norm: 2.3482 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.3981 loss: 3.3981 2022/08/13 21:23:11 - mmengine - INFO - Epoch(train) [33][2900/3757] lr: 9.3067e-02 eta: 3 days, 21:14:33 time: 0.4086 data_time: 0.0142 memory: 13431 grad_norm: 2.1861 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1372 loss: 3.1372 2022/08/13 21:23:51 - mmengine - INFO - Epoch(train) [33][3000/3757] lr: 9.3135e-02 eta: 3 days, 21:13:53 time: 0.3967 data_time: 0.0153 memory: 13431 grad_norm: 2.3238 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1442 loss: 3.1442 2022/08/13 21:24:31 - mmengine - INFO - Epoch(train) [33][3100/3757] lr: 9.3202e-02 eta: 3 days, 21:13:15 time: 0.4052 data_time: 0.0158 memory: 13431 grad_norm: 2.3585 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9180 loss: 2.9180 2022/08/13 21:25:11 - mmengine - INFO - Epoch(train) [33][3200/3757] lr: 9.3270e-02 eta: 3 days, 21:12:34 time: 0.4000 data_time: 0.0149 memory: 13431 grad_norm: 2.3182 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0569 loss: 3.0569 2022/08/13 21:25:52 - mmengine - INFO - Epoch(train) [33][3300/3757] lr: 9.3338e-02 eta: 3 days, 21:11:57 time: 0.4035 data_time: 0.0144 memory: 13431 grad_norm: 2.3387 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9086 loss: 2.9086 2022/08/13 21:26:32 - mmengine - INFO - Epoch(train) [33][3400/3757] lr: 9.3406e-02 eta: 3 days, 21:11:16 time: 0.4015 data_time: 0.0157 memory: 13431 grad_norm: 2.2149 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1547 loss: 3.1547 2022/08/13 21:27:12 - mmengine - INFO - Epoch(train) [33][3500/3757] lr: 9.3473e-02 eta: 3 days, 21:10:36 time: 0.4044 data_time: 0.0147 memory: 13431 grad_norm: 2.3314 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0425 loss: 3.0425 2022/08/13 21:27:52 - mmengine - INFO - Epoch(train) [33][3600/3757] lr: 9.3541e-02 eta: 3 days, 21:09:58 time: 0.4004 data_time: 0.0141 memory: 13431 grad_norm: 2.2859 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9075 loss: 2.9075 2022/08/13 21:28:32 - mmengine - INFO - Epoch(train) [33][3700/3757] lr: 9.3609e-02 eta: 3 days, 21:09:18 time: 0.3955 data_time: 0.0143 memory: 13431 grad_norm: 2.2515 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0711 loss: 3.0711 2022/08/13 21:28:55 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 21:28:55 - mmengine - INFO - Epoch(train) [33][3757/3757] lr: 9.3648e-02 eta: 3 days, 21:09:02 time: 0.3813 data_time: 0.0135 memory: 13431 grad_norm: 2.3734 top1_acc: 0.1429 top5_acc: 0.5714 loss_cls: 2.8436 loss: 2.8436 2022/08/13 21:29:04 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 21:29:36 - mmengine - INFO - Epoch(train) [34][100/3757] lr: 9.3483e-02 eta: 3 days, 21:07:41 time: 0.3977 data_time: 0.0150 memory: 13431 grad_norm: 2.3032 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0427 loss: 3.0427 2022/08/13 21:30:16 - mmengine - INFO - Epoch(train) [34][200/3757] lr: 9.3551e-02 eta: 3 days, 21:06:59 time: 0.3966 data_time: 0.0146 memory: 13431 grad_norm: 2.3635 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.0831 loss: 3.0831 2022/08/13 21:30:56 - mmengine - INFO - Epoch(train) [34][300/3757] lr: 9.3618e-02 eta: 3 days, 21:06:17 time: 0.3967 data_time: 0.0141 memory: 13431 grad_norm: 2.2315 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7763 loss: 2.7763 2022/08/13 21:31:36 - mmengine - INFO - Epoch(train) [34][400/3757] lr: 9.3686e-02 eta: 3 days, 21:05:38 time: 0.3958 data_time: 0.0131 memory: 13431 grad_norm: 2.3230 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.2294 loss: 3.2294 2022/08/13 21:32:17 - mmengine - INFO - Epoch(train) [34][500/3757] lr: 9.3754e-02 eta: 3 days, 21:05:00 time: 0.4076 data_time: 0.0145 memory: 13431 grad_norm: 2.2800 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7715 loss: 2.7715 2022/08/13 21:32:57 - mmengine - INFO - Epoch(train) [34][600/3757] lr: 9.3821e-02 eta: 3 days, 21:04:22 time: 0.4058 data_time: 0.0150 memory: 13431 grad_norm: 2.2541 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7600 loss: 2.7600 2022/08/13 21:33:37 - mmengine - INFO - Epoch(train) [34][700/3757] lr: 9.3889e-02 eta: 3 days, 21:03:42 time: 0.4049 data_time: 0.0145 memory: 13431 grad_norm: 2.3037 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.4205 loss: 3.4205 2022/08/13 21:34:17 - mmengine - INFO - Epoch(train) [34][800/3757] lr: 9.3957e-02 eta: 3 days, 21:03:03 time: 0.4065 data_time: 0.0136 memory: 13431 grad_norm: 2.3322 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.2348 loss: 3.2348 2022/08/13 21:34:57 - mmengine - INFO - Epoch(train) [34][900/3757] lr: 9.4024e-02 eta: 3 days, 21:02:23 time: 0.4010 data_time: 0.0136 memory: 13431 grad_norm: 2.2285 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3812 loss: 3.3812 2022/08/13 21:35:37 - mmengine - INFO - Epoch(train) [34][1000/3757] lr: 9.4092e-02 eta: 3 days, 21:01:41 time: 0.3954 data_time: 0.0141 memory: 13431 grad_norm: 2.2927 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2444 loss: 3.2444 2022/08/13 21:35:45 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 21:36:17 - mmengine - INFO - Epoch(train) [34][1100/3757] lr: 9.4159e-02 eta: 3 days, 21:01:01 time: 0.3967 data_time: 0.0144 memory: 13431 grad_norm: 2.2786 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2127 loss: 3.2127 2022/08/13 21:36:58 - mmengine - INFO - Epoch(train) [34][1200/3757] lr: 9.4227e-02 eta: 3 days, 21:00:23 time: 0.4011 data_time: 0.0132 memory: 13431 grad_norm: 2.2712 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1958 loss: 3.1958 2022/08/13 21:37:38 - mmengine - INFO - Epoch(train) [34][1300/3757] lr: 9.4295e-02 eta: 3 days, 20:59:44 time: 0.3973 data_time: 0.0141 memory: 13431 grad_norm: 2.3022 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1974 loss: 3.1974 2022/08/13 21:38:18 - mmengine - INFO - Epoch(train) [34][1400/3757] lr: 9.4362e-02 eta: 3 days, 20:59:03 time: 0.3981 data_time: 0.0140 memory: 13431 grad_norm: 2.3155 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2396 loss: 3.2396 2022/08/13 21:38:58 - mmengine - INFO - Epoch(train) [34][1500/3757] lr: 9.4430e-02 eta: 3 days, 20:58:24 time: 0.3972 data_time: 0.0136 memory: 13431 grad_norm: 2.2842 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9944 loss: 2.9944 2022/08/13 21:39:38 - mmengine - INFO - Epoch(train) [34][1600/3757] lr: 9.4497e-02 eta: 3 days, 20:57:44 time: 0.3958 data_time: 0.0134 memory: 13431 grad_norm: 2.2916 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3691 loss: 3.3691 2022/08/13 21:40:18 - mmengine - INFO - Epoch(train) [34][1700/3757] lr: 9.4565e-02 eta: 3 days, 20:57:04 time: 0.3988 data_time: 0.0139 memory: 13431 grad_norm: 2.3638 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9277 loss: 2.9277 2022/08/13 21:40:58 - mmengine - INFO - Epoch(train) [34][1800/3757] lr: 9.4633e-02 eta: 3 days, 20:56:23 time: 0.3965 data_time: 0.0145 memory: 13431 grad_norm: 2.2137 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.0902 loss: 3.0902 2022/08/13 21:41:38 - mmengine - INFO - Epoch(train) [34][1900/3757] lr: 9.4700e-02 eta: 3 days, 20:55:44 time: 0.3966 data_time: 0.0147 memory: 13431 grad_norm: 2.2477 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.0403 loss: 3.0403 2022/08/13 21:42:19 - mmengine - INFO - Epoch(train) [34][2000/3757] lr: 9.4768e-02 eta: 3 days, 20:55:07 time: 0.4184 data_time: 0.0160 memory: 13431 grad_norm: 2.2945 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1619 loss: 3.1619 2022/08/13 21:42:26 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 21:42:59 - mmengine - INFO - Epoch(train) [34][2100/3757] lr: 9.4835e-02 eta: 3 days, 20:54:31 time: 0.4176 data_time: 0.0160 memory: 13431 grad_norm: 2.3292 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2026 loss: 3.2026 2022/08/13 21:43:40 - mmengine - INFO - Epoch(train) [34][2200/3757] lr: 9.4903e-02 eta: 3 days, 20:53:57 time: 0.3960 data_time: 0.0140 memory: 13431 grad_norm: 2.3053 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7334 loss: 2.7334 2022/08/13 21:44:21 - mmengine - INFO - Epoch(train) [34][2300/3757] lr: 9.4971e-02 eta: 3 days, 20:53:18 time: 0.4000 data_time: 0.0154 memory: 13431 grad_norm: 2.3054 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2448 loss: 3.2448 2022/08/13 21:45:00 - mmengine - INFO - Epoch(train) [34][2400/3757] lr: 9.5038e-02 eta: 3 days, 20:52:36 time: 0.4013 data_time: 0.0158 memory: 13431 grad_norm: 2.2461 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1014 loss: 3.1014 2022/08/13 21:45:40 - mmengine - INFO - Epoch(train) [34][2500/3757] lr: 9.5106e-02 eta: 3 days, 20:51:55 time: 0.4032 data_time: 0.0154 memory: 13431 grad_norm: 2.2343 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8441 loss: 2.8441 2022/08/13 21:46:21 - mmengine - INFO - Epoch(train) [34][2600/3757] lr: 9.5173e-02 eta: 3 days, 20:51:16 time: 0.3971 data_time: 0.0141 memory: 13431 grad_norm: 2.2641 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0490 loss: 3.0490 2022/08/13 21:47:01 - mmengine - INFO - Epoch(train) [34][2700/3757] lr: 9.5241e-02 eta: 3 days, 20:50:36 time: 0.4008 data_time: 0.0151 memory: 13431 grad_norm: 2.3492 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9303 loss: 2.9303 2022/08/13 21:47:41 - mmengine - INFO - Epoch(train) [34][2800/3757] lr: 9.5309e-02 eta: 3 days, 20:49:56 time: 0.4028 data_time: 0.0141 memory: 13431 grad_norm: 2.3065 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.3081 loss: 3.3081 2022/08/13 21:48:21 - mmengine - INFO - Epoch(train) [34][2900/3757] lr: 9.5376e-02 eta: 3 days, 20:49:15 time: 0.3980 data_time: 0.0138 memory: 13431 grad_norm: 2.1906 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2676 loss: 3.2676 2022/08/13 21:49:01 - mmengine - INFO - Epoch(train) [34][3000/3757] lr: 9.5444e-02 eta: 3 days, 20:48:36 time: 0.4005 data_time: 0.0155 memory: 13431 grad_norm: 2.3440 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8972 loss: 2.8972 2022/08/13 21:49:09 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 21:49:41 - mmengine - INFO - Epoch(train) [34][3100/3757] lr: 9.5512e-02 eta: 3 days, 20:47:57 time: 0.4050 data_time: 0.0153 memory: 13431 grad_norm: 2.2782 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0578 loss: 3.0578 2022/08/13 21:50:21 - mmengine - INFO - Epoch(train) [34][3200/3757] lr: 9.5579e-02 eta: 3 days, 20:47:16 time: 0.4005 data_time: 0.0138 memory: 13431 grad_norm: 2.2950 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.0942 loss: 3.0942 2022/08/13 21:51:01 - mmengine - INFO - Epoch(train) [34][3300/3757] lr: 9.5647e-02 eta: 3 days, 20:46:37 time: 0.3978 data_time: 0.0135 memory: 13431 grad_norm: 2.2704 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3379 loss: 3.3379 2022/08/13 21:51:42 - mmengine - INFO - Epoch(train) [34][3400/3757] lr: 9.5714e-02 eta: 3 days, 20:45:59 time: 0.4023 data_time: 0.0153 memory: 13431 grad_norm: 2.2914 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1102 loss: 3.1102 2022/08/13 21:52:22 - mmengine - INFO - Epoch(train) [34][3500/3757] lr: 9.5782e-02 eta: 3 days, 20:45:19 time: 0.4010 data_time: 0.0148 memory: 13431 grad_norm: 2.2814 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8792 loss: 2.8792 2022/08/13 21:53:02 - mmengine - INFO - Epoch(train) [34][3600/3757] lr: 9.5850e-02 eta: 3 days, 20:44:39 time: 0.3971 data_time: 0.0140 memory: 13431 grad_norm: 2.2446 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.9346 loss: 2.9346 2022/08/13 21:53:42 - mmengine - INFO - Epoch(train) [34][3700/3757] lr: 9.5917e-02 eta: 3 days, 20:44:00 time: 0.4047 data_time: 0.0154 memory: 13431 grad_norm: 2.2490 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 3.0325 loss: 3.0325 2022/08/13 21:54:05 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 21:54:05 - mmengine - INFO - Epoch(train) [34][3757/3757] lr: 9.5956e-02 eta: 3 days, 20:43:44 time: 0.3978 data_time: 0.0148 memory: 13431 grad_norm: 2.2866 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 3.4033 loss: 3.4033 2022/08/13 21:54:47 - mmengine - INFO - Epoch(train) [35][100/3757] lr: 9.5710e-02 eta: 3 days, 20:42:25 time: 0.3956 data_time: 0.0146 memory: 13431 grad_norm: 2.3046 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1963 loss: 3.1963 2022/08/13 21:55:27 - mmengine - INFO - Epoch(train) [35][200/3757] lr: 9.5710e-02 eta: 3 days, 20:41:46 time: 0.3991 data_time: 0.0141 memory: 13431 grad_norm: 2.3249 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.3968 loss: 3.3968 2022/08/13 21:55:52 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 21:56:08 - mmengine - INFO - Epoch(train) [35][300/3757] lr: 9.5710e-02 eta: 3 days, 20:41:08 time: 0.4017 data_time: 0.0134 memory: 13431 grad_norm: 2.3412 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.3462 loss: 3.3462 2022/08/13 21:56:47 - mmengine - INFO - Epoch(train) [35][400/3757] lr: 9.5710e-02 eta: 3 days, 20:40:27 time: 0.3962 data_time: 0.0143 memory: 13431 grad_norm: 2.2756 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.1107 loss: 3.1107 2022/08/13 21:57:28 - mmengine - INFO - Epoch(train) [35][500/3757] lr: 9.5710e-02 eta: 3 days, 20:39:48 time: 0.3961 data_time: 0.0162 memory: 13431 grad_norm: 2.3102 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1047 loss: 3.1047 2022/08/13 21:58:08 - mmengine - INFO - Epoch(train) [35][600/3757] lr: 9.5710e-02 eta: 3 days, 20:39:09 time: 0.3958 data_time: 0.0135 memory: 13431 grad_norm: 2.3129 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0065 loss: 3.0065 2022/08/13 21:58:48 - mmengine - INFO - Epoch(train) [35][700/3757] lr: 9.5710e-02 eta: 3 days, 20:38:30 time: 0.3967 data_time: 0.0159 memory: 13431 grad_norm: 2.2372 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0724 loss: 3.0724 2022/08/13 21:59:28 - mmengine - INFO - Epoch(train) [35][800/3757] lr: 9.5710e-02 eta: 3 days, 20:37:51 time: 0.3959 data_time: 0.0134 memory: 13431 grad_norm: 2.2893 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1569 loss: 3.1569 2022/08/13 22:00:09 - mmengine - INFO - Epoch(train) [35][900/3757] lr: 9.5710e-02 eta: 3 days, 20:37:13 time: 0.3975 data_time: 0.0131 memory: 13431 grad_norm: 2.2729 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3197 loss: 3.3197 2022/08/13 22:00:49 - mmengine - INFO - Epoch(train) [35][1000/3757] lr: 9.5710e-02 eta: 3 days, 20:36:38 time: 0.3965 data_time: 0.0137 memory: 13431 grad_norm: 2.2356 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3025 loss: 3.3025 2022/08/13 22:01:30 - mmengine - INFO - Epoch(train) [35][1100/3757] lr: 9.5710e-02 eta: 3 days, 20:35:58 time: 0.3993 data_time: 0.0139 memory: 13431 grad_norm: 2.2791 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0118 loss: 3.0118 2022/08/13 22:02:09 - mmengine - INFO - Epoch(train) [35][1200/3757] lr: 9.5710e-02 eta: 3 days, 20:35:17 time: 0.3969 data_time: 0.0157 memory: 13431 grad_norm: 2.3276 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2217 loss: 3.2217 2022/08/13 22:02:34 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 22:02:50 - mmengine - INFO - Epoch(train) [35][1300/3757] lr: 9.5710e-02 eta: 3 days, 20:34:37 time: 0.3992 data_time: 0.0155 memory: 13431 grad_norm: 2.2570 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0425 loss: 3.0425 2022/08/13 22:03:30 - mmengine - INFO - Epoch(train) [35][1400/3757] lr: 9.5710e-02 eta: 3 days, 20:34:00 time: 0.4126 data_time: 0.0138 memory: 13431 grad_norm: 2.2601 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0416 loss: 3.0416 2022/08/13 22:04:10 - mmengine - INFO - Epoch(train) [35][1500/3757] lr: 9.5710e-02 eta: 3 days, 20:33:20 time: 0.3996 data_time: 0.0167 memory: 13431 grad_norm: 2.2707 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0627 loss: 3.0627 2022/08/13 22:04:50 - mmengine - INFO - Epoch(train) [35][1600/3757] lr: 9.5710e-02 eta: 3 days, 20:32:41 time: 0.4052 data_time: 0.0148 memory: 13431 grad_norm: 2.2657 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.7917 loss: 2.7917 2022/08/13 22:05:31 - mmengine - INFO - Epoch(train) [35][1700/3757] lr: 9.5710e-02 eta: 3 days, 20:32:02 time: 0.4063 data_time: 0.0139 memory: 13431 grad_norm: 2.2845 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8569 loss: 2.8569 2022/08/13 22:06:11 - mmengine - INFO - Epoch(train) [35][1800/3757] lr: 9.5710e-02 eta: 3 days, 20:31:22 time: 0.3981 data_time: 0.0133 memory: 13431 grad_norm: 2.3342 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.0107 loss: 3.0107 2022/08/13 22:06:51 - mmengine - INFO - Epoch(train) [35][1900/3757] lr: 9.5710e-02 eta: 3 days, 20:30:42 time: 0.3995 data_time: 0.0152 memory: 13431 grad_norm: 2.3348 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2722 loss: 3.2722 2022/08/13 22:07:31 - mmengine - INFO - Epoch(train) [35][2000/3757] lr: 9.5710e-02 eta: 3 days, 20:30:01 time: 0.4049 data_time: 0.0151 memory: 13431 grad_norm: 2.2719 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7826 loss: 2.7826 2022/08/13 22:08:11 - mmengine - INFO - Epoch(train) [35][2100/3757] lr: 9.5710e-02 eta: 3 days, 20:29:21 time: 0.4058 data_time: 0.0153 memory: 13431 grad_norm: 2.2396 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1206 loss: 3.1206 2022/08/13 22:08:51 - mmengine - INFO - Epoch(train) [35][2200/3757] lr: 9.5710e-02 eta: 3 days, 20:28:40 time: 0.3963 data_time: 0.0147 memory: 13431 grad_norm: 2.3189 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9149 loss: 2.9149 2022/08/13 22:09:15 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 22:09:31 - mmengine - INFO - Epoch(train) [35][2300/3757] lr: 9.5710e-02 eta: 3 days, 20:28:00 time: 0.4019 data_time: 0.0156 memory: 13431 grad_norm: 2.2641 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0022 loss: 3.0022 2022/08/13 22:10:11 - mmengine - INFO - Epoch(train) [35][2400/3757] lr: 9.5710e-02 eta: 3 days, 20:27:22 time: 0.4047 data_time: 0.0150 memory: 13431 grad_norm: 2.3067 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8003 loss: 2.8003 2022/08/13 22:10:51 - mmengine - INFO - Epoch(train) [35][2500/3757] lr: 9.5710e-02 eta: 3 days, 20:26:42 time: 0.4014 data_time: 0.0148 memory: 13431 grad_norm: 2.2809 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.2574 loss: 3.2574 2022/08/13 22:11:31 - mmengine - INFO - Epoch(train) [35][2600/3757] lr: 9.5710e-02 eta: 3 days, 20:26:02 time: 0.4033 data_time: 0.0151 memory: 13431 grad_norm: 2.2653 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0920 loss: 3.0920 2022/08/13 22:12:11 - mmengine - INFO - Epoch(train) [35][2700/3757] lr: 9.5710e-02 eta: 3 days, 20:25:22 time: 0.4001 data_time: 0.0173 memory: 13431 grad_norm: 2.2018 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1220 loss: 3.1220 2022/08/13 22:12:51 - mmengine - INFO - Epoch(train) [35][2800/3757] lr: 9.5710e-02 eta: 3 days, 20:24:41 time: 0.4068 data_time: 0.0183 memory: 13431 grad_norm: 2.3042 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7836 loss: 2.7836 2022/08/13 22:13:31 - mmengine - INFO - Epoch(train) [35][2900/3757] lr: 9.5710e-02 eta: 3 days, 20:24:02 time: 0.4079 data_time: 0.0151 memory: 13431 grad_norm: 2.2303 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0415 loss: 3.0415 2022/08/13 22:14:12 - mmengine - INFO - Epoch(train) [35][3000/3757] lr: 9.5710e-02 eta: 3 days, 20:23:25 time: 0.4143 data_time: 0.0153 memory: 13431 grad_norm: 2.2878 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 3.0264 loss: 3.0264 2022/08/13 22:14:53 - mmengine - INFO - Epoch(train) [35][3100/3757] lr: 9.5710e-02 eta: 3 days, 20:22:47 time: 0.4072 data_time: 0.0163 memory: 13431 grad_norm: 2.2952 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7789 loss: 2.7789 2022/08/13 22:15:33 - mmengine - INFO - Epoch(train) [35][3200/3757] lr: 9.5710e-02 eta: 3 days, 20:22:08 time: 0.4091 data_time: 0.0153 memory: 13431 grad_norm: 2.2825 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7376 loss: 2.7376 2022/08/13 22:15:58 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 22:16:14 - mmengine - INFO - Epoch(train) [35][3300/3757] lr: 9.5710e-02 eta: 3 days, 20:21:34 time: 0.4298 data_time: 0.0155 memory: 13431 grad_norm: 2.2505 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0240 loss: 3.0240 2022/08/13 22:16:54 - mmengine - INFO - Epoch(train) [35][3400/3757] lr: 9.5710e-02 eta: 3 days, 20:20:54 time: 0.4017 data_time: 0.0148 memory: 13431 grad_norm: 2.2303 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2299 loss: 3.2299 2022/08/13 22:17:34 - mmengine - INFO - Epoch(train) [35][3500/3757] lr: 9.5710e-02 eta: 3 days, 20:20:15 time: 0.4080 data_time: 0.0151 memory: 13431 grad_norm: 2.2882 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9828 loss: 2.9828 2022/08/13 22:18:14 - mmengine - INFO - Epoch(train) [35][3600/3757] lr: 9.5710e-02 eta: 3 days, 20:19:37 time: 0.4066 data_time: 0.0153 memory: 13431 grad_norm: 2.2675 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8488 loss: 2.8488 2022/08/13 22:18:55 - mmengine - INFO - Epoch(train) [35][3700/3757] lr: 9.5710e-02 eta: 3 days, 20:18:59 time: 0.4117 data_time: 0.0160 memory: 13431 grad_norm: 2.2532 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1187 loss: 3.1187 2022/08/13 22:19:18 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 22:19:18 - mmengine - INFO - Epoch(train) [35][3757/3757] lr: 9.5710e-02 eta: 3 days, 20:18:47 time: 0.4132 data_time: 0.0152 memory: 13431 grad_norm: 2.3234 top1_acc: 0.1429 top5_acc: 0.5714 loss_cls: 3.0450 loss: 3.0450 2022/08/13 22:19:40 - mmengine - INFO - Epoch(val) [35][100/310] eta: 0:00:47 time: 0.2275 data_time: 0.1008 memory: 1974 2022/08/13 22:20:02 - mmengine - INFO - Epoch(val) [35][200/310] eta: 0:00:20 time: 0.1870 data_time: 0.0574 memory: 1974 2022/08/13 22:20:23 - mmengine - INFO - Epoch(val) [35][300/310] eta: 0:00:02 time: 0.2050 data_time: 0.0755 memory: 1974 2022/08/13 22:20:27 - mmengine - INFO - Epoch(val) [35][310/310] acc/top1: 0.3720 acc/top5: 0.6525 acc/mean1: 0.3719 2022/08/13 22:21:10 - mmengine - INFO - Epoch(train) [36][100/3757] lr: 9.5458e-02 eta: 3 days, 20:17:29 time: 0.3948 data_time: 0.0137 memory: 13431 grad_norm: 2.2216 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.1716 loss: 3.1716 2022/08/13 22:21:50 - mmengine - INFO - Epoch(train) [36][200/3757] lr: 9.5458e-02 eta: 3 days, 20:16:49 time: 0.3958 data_time: 0.0132 memory: 13431 grad_norm: 2.3461 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8542 loss: 2.8542 2022/08/13 22:22:30 - mmengine - INFO - Epoch(train) [36][300/3757] lr: 9.5458e-02 eta: 3 days, 20:16:09 time: 0.3961 data_time: 0.0134 memory: 13431 grad_norm: 2.2556 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 3.2388 loss: 3.2388 2022/08/13 22:23:10 - mmengine - INFO - Epoch(train) [36][400/3757] lr: 9.5458e-02 eta: 3 days, 20:15:31 time: 0.3950 data_time: 0.0141 memory: 13431 grad_norm: 2.4101 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2447 loss: 3.2447 2022/08/13 22:23:50 - mmengine - INFO - Epoch(train) [36][500/3757] lr: 9.5458e-02 eta: 3 days, 20:14:53 time: 0.3948 data_time: 0.0150 memory: 13431 grad_norm: 2.3342 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9928 loss: 2.9928 2022/08/13 22:23:53 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 22:24:32 - mmengine - INFO - Epoch(train) [36][600/3757] lr: 9.5458e-02 eta: 3 days, 20:14:20 time: 0.4185 data_time: 0.0144 memory: 13431 grad_norm: 2.2858 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3756 loss: 3.3756 2022/08/13 22:25:12 - mmengine - INFO - Epoch(train) [36][700/3757] lr: 9.5458e-02 eta: 3 days, 20:13:39 time: 0.4013 data_time: 0.0142 memory: 13431 grad_norm: 2.2658 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.0205 loss: 3.0205 2022/08/13 22:25:52 - mmengine - INFO - Epoch(train) [36][800/3757] lr: 9.5458e-02 eta: 3 days, 20:12:59 time: 0.3976 data_time: 0.0146 memory: 13431 grad_norm: 2.3378 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1723 loss: 3.1723 2022/08/13 22:26:32 - mmengine - INFO - Epoch(train) [36][900/3757] lr: 9.5458e-02 eta: 3 days, 20:12:20 time: 0.4002 data_time: 0.0137 memory: 13431 grad_norm: 2.2465 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8862 loss: 2.8862 2022/08/13 22:27:12 - mmengine - INFO - Epoch(train) [36][1000/3757] lr: 9.5458e-02 eta: 3 days, 20:11:41 time: 0.4121 data_time: 0.0151 memory: 13431 grad_norm: 2.3098 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4342 loss: 3.4342 2022/08/13 22:27:52 - mmengine - INFO - Epoch(train) [36][1100/3757] lr: 9.5458e-02 eta: 3 days, 20:11:02 time: 0.4081 data_time: 0.0148 memory: 13431 grad_norm: 2.3350 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1471 loss: 3.1471 2022/08/13 22:28:33 - mmengine - INFO - Epoch(train) [36][1200/3757] lr: 9.5458e-02 eta: 3 days, 20:10:23 time: 0.3957 data_time: 0.0152 memory: 13431 grad_norm: 2.2667 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0439 loss: 3.0439 2022/08/13 22:29:13 - mmengine - INFO - Epoch(train) [36][1300/3757] lr: 9.5458e-02 eta: 3 days, 20:09:44 time: 0.4021 data_time: 0.0145 memory: 13431 grad_norm: 2.2323 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1288 loss: 3.1288 2022/08/13 22:29:53 - mmengine - INFO - Epoch(train) [36][1400/3757] lr: 9.5458e-02 eta: 3 days, 20:09:06 time: 0.4017 data_time: 0.0135 memory: 13431 grad_norm: 2.2794 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8697 loss: 2.8697 2022/08/13 22:30:33 - mmengine - INFO - Epoch(train) [36][1500/3757] lr: 9.5458e-02 eta: 3 days, 20:08:27 time: 0.3976 data_time: 0.0134 memory: 13431 grad_norm: 2.2471 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2278 loss: 3.2278 2022/08/13 22:30:36 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 22:31:15 - mmengine - INFO - Epoch(train) [36][1600/3757] lr: 9.5458e-02 eta: 3 days, 20:07:54 time: 0.4250 data_time: 0.0206 memory: 13431 grad_norm: 2.2500 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0093 loss: 3.0093 2022/08/13 22:31:55 - mmengine - INFO - Epoch(train) [36][1700/3757] lr: 9.5458e-02 eta: 3 days, 20:07:13 time: 0.3981 data_time: 0.0137 memory: 13431 grad_norm: 2.2344 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8997 loss: 2.8997 2022/08/13 22:32:35 - mmengine - INFO - Epoch(train) [36][1800/3757] lr: 9.5458e-02 eta: 3 days, 20:06:35 time: 0.4201 data_time: 0.0154 memory: 13431 grad_norm: 2.2606 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9816 loss: 2.9816 2022/08/13 22:33:15 - mmengine - INFO - Epoch(train) [36][1900/3757] lr: 9.5458e-02 eta: 3 days, 20:05:56 time: 0.4143 data_time: 0.0156 memory: 13431 grad_norm: 2.2464 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.1312 loss: 3.1312 2022/08/13 22:33:56 - mmengine - INFO - Epoch(train) [36][2000/3757] lr: 9.5458e-02 eta: 3 days, 20:05:18 time: 0.4026 data_time: 0.0148 memory: 13431 grad_norm: 2.2129 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1096 loss: 3.1096 2022/08/13 22:34:36 - mmengine - INFO - Epoch(train) [36][2100/3757] lr: 9.5458e-02 eta: 3 days, 20:04:38 time: 0.4036 data_time: 0.0142 memory: 13431 grad_norm: 2.3018 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0742 loss: 3.0742 2022/08/13 22:35:16 - mmengine - INFO - Epoch(train) [36][2200/3757] lr: 9.5458e-02 eta: 3 days, 20:03:57 time: 0.3966 data_time: 0.0136 memory: 13431 grad_norm: 2.3339 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3961 loss: 3.3961 2022/08/13 22:35:56 - mmengine - INFO - Epoch(train) [36][2300/3757] lr: 9.5458e-02 eta: 3 days, 20:03:18 time: 0.3992 data_time: 0.0158 memory: 13431 grad_norm: 2.3533 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1069 loss: 3.1069 2022/08/13 22:36:36 - mmengine - INFO - Epoch(train) [36][2400/3757] lr: 9.5458e-02 eta: 3 days, 20:02:40 time: 0.4133 data_time: 0.0156 memory: 13431 grad_norm: 2.3260 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2557 loss: 3.2557 2022/08/13 22:37:16 - mmengine - INFO - Epoch(train) [36][2500/3757] lr: 9.5458e-02 eta: 3 days, 20:02:01 time: 0.4103 data_time: 0.0158 memory: 13431 grad_norm: 2.2265 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1075 loss: 3.1075 2022/08/13 22:37:18 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 22:37:57 - mmengine - INFO - Epoch(train) [36][2600/3757] lr: 9.5458e-02 eta: 3 days, 20:01:21 time: 0.4038 data_time: 0.0160 memory: 13431 grad_norm: 2.2207 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.9296 loss: 2.9296 2022/08/13 22:38:37 - mmengine - INFO - Epoch(train) [36][2700/3757] lr: 9.5458e-02 eta: 3 days, 20:00:43 time: 0.4017 data_time: 0.0141 memory: 13431 grad_norm: 2.2645 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1296 loss: 3.1296 2022/08/13 22:39:17 - mmengine - INFO - Epoch(train) [36][2800/3757] lr: 9.5458e-02 eta: 3 days, 20:00:04 time: 0.3967 data_time: 0.0143 memory: 13431 grad_norm: 2.3153 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7420 loss: 2.7420 2022/08/13 22:39:57 - mmengine - INFO - Epoch(train) [36][2900/3757] lr: 9.5458e-02 eta: 3 days, 19:59:23 time: 0.3960 data_time: 0.0150 memory: 13431 grad_norm: 2.3154 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.9383 loss: 2.9383 2022/08/13 22:40:37 - mmengine - INFO - Epoch(train) [36][3000/3757] lr: 9.5458e-02 eta: 3 days, 19:58:43 time: 0.3959 data_time: 0.0141 memory: 13431 grad_norm: 2.2778 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.1674 loss: 3.1674 2022/08/13 22:41:17 - mmengine - INFO - Epoch(train) [36][3100/3757] lr: 9.5458e-02 eta: 3 days, 19:58:02 time: 0.3957 data_time: 0.0138 memory: 13431 grad_norm: 2.3435 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1969 loss: 3.1969 2022/08/13 22:41:57 - mmengine - INFO - Epoch(train) [36][3200/3757] lr: 9.5458e-02 eta: 3 days, 19:57:22 time: 0.3970 data_time: 0.0140 memory: 13431 grad_norm: 2.3026 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0666 loss: 3.0666 2022/08/13 22:42:37 - mmengine - INFO - Epoch(train) [36][3300/3757] lr: 9.5458e-02 eta: 3 days, 19:56:40 time: 0.3969 data_time: 0.0145 memory: 13431 grad_norm: 2.2549 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9807 loss: 2.9807 2022/08/13 22:43:17 - mmengine - INFO - Epoch(train) [36][3400/3757] lr: 9.5458e-02 eta: 3 days, 19:56:03 time: 0.4087 data_time: 0.0156 memory: 13431 grad_norm: 2.2556 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1206 loss: 3.1206 2022/08/13 22:43:57 - mmengine - INFO - Epoch(train) [36][3500/3757] lr: 9.5458e-02 eta: 3 days, 19:55:22 time: 0.3979 data_time: 0.0155 memory: 13431 grad_norm: 2.2516 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0810 loss: 3.0810 2022/08/13 22:43:59 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 22:44:37 - mmengine - INFO - Epoch(train) [36][3600/3757] lr: 9.5458e-02 eta: 3 days, 19:54:41 time: 0.4034 data_time: 0.0153 memory: 13431 grad_norm: 2.4044 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1232 loss: 3.1232 2022/08/13 22:45:17 - mmengine - INFO - Epoch(train) [36][3700/3757] lr: 9.5458e-02 eta: 3 days, 19:54:01 time: 0.3947 data_time: 0.0140 memory: 13431 grad_norm: 2.2777 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 2.9789 loss: 2.9789 2022/08/13 22:45:40 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 22:45:40 - mmengine - INFO - Epoch(train) [36][3757/3757] lr: 9.5458e-02 eta: 3 days, 19:53:45 time: 0.3833 data_time: 0.0131 memory: 13431 grad_norm: 2.3183 top1_acc: 0.1429 top5_acc: 0.5714 loss_cls: 2.9713 loss: 2.9713 2022/08/13 22:45:40 - mmengine - INFO - Saving checkpoint at 36 epochs 2022/08/13 22:46:26 - mmengine - INFO - Epoch(train) [37][100/3757] lr: 9.5199e-02 eta: 3 days, 19:52:22 time: 0.3974 data_time: 0.0145 memory: 13431 grad_norm: 2.3211 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1912 loss: 3.1912 2022/08/13 22:47:06 - mmengine - INFO - Epoch(train) [37][200/3757] lr: 9.5199e-02 eta: 3 days, 19:51:42 time: 0.3952 data_time: 0.0141 memory: 13431 grad_norm: 2.2710 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2796 loss: 3.2796 2022/08/13 22:47:46 - mmengine - INFO - Epoch(train) [37][300/3757] lr: 9.5199e-02 eta: 3 days, 19:51:01 time: 0.3986 data_time: 0.0147 memory: 13431 grad_norm: 2.3469 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.3235 loss: 3.3235 2022/08/13 22:48:26 - mmengine - INFO - Epoch(train) [37][400/3757] lr: 9.5199e-02 eta: 3 days, 19:50:22 time: 0.4024 data_time: 0.0147 memory: 13431 grad_norm: 2.2228 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.0460 loss: 3.0460 2022/08/13 22:49:07 - mmengine - INFO - Epoch(train) [37][500/3757] lr: 9.5199e-02 eta: 3 days, 19:49:42 time: 0.3966 data_time: 0.0150 memory: 13431 grad_norm: 2.2538 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8695 loss: 2.8695 2022/08/13 22:49:47 - mmengine - INFO - Epoch(train) [37][600/3757] lr: 9.5199e-02 eta: 3 days, 19:49:02 time: 0.3961 data_time: 0.0139 memory: 13431 grad_norm: 2.1943 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1962 loss: 3.1962 2022/08/13 22:50:27 - mmengine - INFO - Epoch(train) [37][700/3757] lr: 9.5199e-02 eta: 3 days, 19:48:24 time: 0.3952 data_time: 0.0151 memory: 13431 grad_norm: 2.2726 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.0271 loss: 3.0271 2022/08/13 22:50:46 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 22:51:07 - mmengine - INFO - Epoch(train) [37][800/3757] lr: 9.5199e-02 eta: 3 days, 19:47:43 time: 0.3963 data_time: 0.0136 memory: 13431 grad_norm: 2.2351 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8139 loss: 2.8139 2022/08/13 22:51:47 - mmengine - INFO - Epoch(train) [37][900/3757] lr: 9.5199e-02 eta: 3 days, 19:47:02 time: 0.3942 data_time: 0.0135 memory: 13431 grad_norm: 2.2279 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0193 loss: 3.0193 2022/08/13 22:52:27 - mmengine - INFO - Epoch(train) [37][1000/3757] lr: 9.5199e-02 eta: 3 days, 19:46:22 time: 0.4017 data_time: 0.0138 memory: 13431 grad_norm: 2.3703 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9759 loss: 2.9759 2022/08/13 22:53:07 - mmengine - INFO - Epoch(train) [37][1100/3757] lr: 9.5199e-02 eta: 3 days, 19:45:41 time: 0.4005 data_time: 0.0145 memory: 13431 grad_norm: 2.2011 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9158 loss: 2.9158 2022/08/13 22:53:47 - mmengine - INFO - Epoch(train) [37][1200/3757] lr: 9.5199e-02 eta: 3 days, 19:45:00 time: 0.4004 data_time: 0.0145 memory: 13431 grad_norm: 2.3083 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.4564 loss: 3.4564 2022/08/13 22:54:26 - mmengine - INFO - Epoch(train) [37][1300/3757] lr: 9.5199e-02 eta: 3 days, 19:44:19 time: 0.4009 data_time: 0.0159 memory: 13431 grad_norm: 2.2298 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9456 loss: 2.9456 2022/08/13 22:55:06 - mmengine - INFO - Epoch(train) [37][1400/3757] lr: 9.5199e-02 eta: 3 days, 19:43:38 time: 0.4052 data_time: 0.0144 memory: 13431 grad_norm: 2.3079 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9098 loss: 2.9098 2022/08/13 22:55:47 - mmengine - INFO - Epoch(train) [37][1500/3757] lr: 9.5199e-02 eta: 3 days, 19:42:58 time: 0.3954 data_time: 0.0145 memory: 13431 grad_norm: 2.3667 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.1609 loss: 3.1609 2022/08/13 22:56:27 - mmengine - INFO - Epoch(train) [37][1600/3757] lr: 9.5199e-02 eta: 3 days, 19:42:18 time: 0.3956 data_time: 0.0140 memory: 13431 grad_norm: 2.2421 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9015 loss: 2.9015 2022/08/13 22:57:07 - mmengine - INFO - Epoch(train) [37][1700/3757] lr: 9.5199e-02 eta: 3 days, 19:41:39 time: 0.4062 data_time: 0.0163 memory: 13431 grad_norm: 2.2785 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9757 loss: 2.9757 2022/08/13 22:57:26 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 22:57:47 - mmengine - INFO - Epoch(train) [37][1800/3757] lr: 9.5199e-02 eta: 3 days, 19:41:01 time: 0.4068 data_time: 0.0153 memory: 13431 grad_norm: 2.2625 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1736 loss: 3.1736 2022/08/13 22:58:27 - mmengine - INFO - Epoch(train) [37][1900/3757] lr: 9.5199e-02 eta: 3 days, 19:40:21 time: 0.4024 data_time: 0.0147 memory: 13431 grad_norm: 2.3357 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9366 loss: 2.9366 2022/08/13 22:59:08 - mmengine - INFO - Epoch(train) [37][2000/3757] lr: 9.5199e-02 eta: 3 days, 19:39:42 time: 0.4039 data_time: 0.0145 memory: 13431 grad_norm: 2.2416 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9874 loss: 2.9874 2022/08/13 22:59:48 - mmengine - INFO - Epoch(train) [37][2100/3757] lr: 9.5199e-02 eta: 3 days, 19:39:02 time: 0.4012 data_time: 0.0133 memory: 13431 grad_norm: 2.2619 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8668 loss: 2.8668 2022/08/13 23:00:28 - mmengine - INFO - Epoch(train) [37][2200/3757] lr: 9.5199e-02 eta: 3 days, 19:38:22 time: 0.3997 data_time: 0.0140 memory: 13431 grad_norm: 2.2419 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.7929 loss: 2.7929 2022/08/13 23:01:08 - mmengine - INFO - Epoch(train) [37][2300/3757] lr: 9.5199e-02 eta: 3 days, 19:37:41 time: 0.3954 data_time: 0.0139 memory: 13431 grad_norm: 2.3144 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.1030 loss: 3.1030 2022/08/13 23:01:47 - mmengine - INFO - Epoch(train) [37][2400/3757] lr: 9.5199e-02 eta: 3 days, 19:37:00 time: 0.3983 data_time: 0.0153 memory: 13431 grad_norm: 2.3255 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9328 loss: 2.9328 2022/08/13 23:02:27 - mmengine - INFO - Epoch(train) [37][2500/3757] lr: 9.5199e-02 eta: 3 days, 19:36:19 time: 0.4008 data_time: 0.0151 memory: 13431 grad_norm: 2.3681 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.0249 loss: 3.0249 2022/08/13 23:03:08 - mmengine - INFO - Epoch(train) [37][2600/3757] lr: 9.5199e-02 eta: 3 days, 19:35:40 time: 0.4029 data_time: 0.0155 memory: 13431 grad_norm: 2.3142 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.0597 loss: 3.0597 2022/08/13 23:03:48 - mmengine - INFO - Epoch(train) [37][2700/3757] lr: 9.5199e-02 eta: 3 days, 19:35:00 time: 0.3976 data_time: 0.0146 memory: 13431 grad_norm: 2.2517 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.1972 loss: 3.1972 2022/08/13 23:04:07 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 23:04:28 - mmengine - INFO - Epoch(train) [37][2800/3757] lr: 9.5199e-02 eta: 3 days, 19:34:20 time: 0.3968 data_time: 0.0138 memory: 13431 grad_norm: 2.2547 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0372 loss: 3.0372 2022/08/13 23:05:08 - mmengine - INFO - Epoch(train) [37][2900/3757] lr: 9.5199e-02 eta: 3 days, 19:33:40 time: 0.4011 data_time: 0.0168 memory: 13431 grad_norm: 2.2539 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9646 loss: 2.9646 2022/08/13 23:05:48 - mmengine - INFO - Epoch(train) [37][3000/3757] lr: 9.5199e-02 eta: 3 days, 19:32:59 time: 0.4004 data_time: 0.0150 memory: 13431 grad_norm: 2.2923 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1213 loss: 3.1213 2022/08/13 23:06:28 - mmengine - INFO - Epoch(train) [37][3100/3757] lr: 9.5199e-02 eta: 3 days, 19:32:19 time: 0.4025 data_time: 0.0148 memory: 13431 grad_norm: 2.3237 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1619 loss: 3.1619 2022/08/13 23:07:08 - mmengine - INFO - Epoch(train) [37][3200/3757] lr: 9.5199e-02 eta: 3 days, 19:31:39 time: 0.4043 data_time: 0.0163 memory: 13431 grad_norm: 2.2925 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.6962 loss: 2.6962 2022/08/13 23:07:48 - mmengine - INFO - Epoch(train) [37][3300/3757] lr: 9.5199e-02 eta: 3 days, 19:30:59 time: 0.3968 data_time: 0.0150 memory: 13431 grad_norm: 2.2950 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0496 loss: 3.0496 2022/08/13 23:08:28 - mmengine - INFO - Epoch(train) [37][3400/3757] lr: 9.5199e-02 eta: 3 days, 19:30:18 time: 0.3956 data_time: 0.0137 memory: 13431 grad_norm: 2.2901 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0198 loss: 3.0198 2022/08/13 23:09:08 - mmengine - INFO - Epoch(train) [37][3500/3757] lr: 9.5199e-02 eta: 3 days, 19:29:36 time: 0.3976 data_time: 0.0155 memory: 13431 grad_norm: 2.3176 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4775 loss: 3.4775 2022/08/13 23:09:48 - mmengine - INFO - Epoch(train) [37][3600/3757] lr: 9.5199e-02 eta: 3 days, 19:28:57 time: 0.3982 data_time: 0.0160 memory: 13431 grad_norm: 2.2338 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.3622 loss: 3.3622 2022/08/13 23:10:28 - mmengine - INFO - Epoch(train) [37][3700/3757] lr: 9.5199e-02 eta: 3 days, 19:28:17 time: 0.4122 data_time: 0.0153 memory: 13431 grad_norm: 2.3401 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1361 loss: 3.1361 2022/08/13 23:10:47 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 23:10:50 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 23:10:50 - mmengine - INFO - Epoch(train) [37][3757/3757] lr: 9.5199e-02 eta: 3 days, 19:28:00 time: 0.3921 data_time: 0.0146 memory: 13431 grad_norm: 2.2671 top1_acc: 0.1429 top5_acc: 0.7143 loss_cls: 3.2250 loss: 3.2250 2022/08/13 23:11:33 - mmengine - INFO - Epoch(train) [38][100/3757] lr: 9.4934e-02 eta: 3 days, 19:26:47 time: 0.3977 data_time: 0.0145 memory: 13431 grad_norm: 2.3239 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1788 loss: 3.1788 2022/08/13 23:12:13 - mmengine - INFO - Epoch(train) [38][200/3757] lr: 9.4934e-02 eta: 3 days, 19:26:06 time: 0.3999 data_time: 0.0148 memory: 13431 grad_norm: 2.3219 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0787 loss: 3.0787 2022/08/13 23:12:53 - mmengine - INFO - Epoch(train) [38][300/3757] lr: 9.4934e-02 eta: 3 days, 19:25:25 time: 0.3978 data_time: 0.0154 memory: 13431 grad_norm: 2.2781 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8449 loss: 2.8449 2022/08/13 23:13:33 - mmengine - INFO - Epoch(train) [38][400/3757] lr: 9.4934e-02 eta: 3 days, 19:24:44 time: 0.3974 data_time: 0.0140 memory: 13431 grad_norm: 2.2684 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1598 loss: 3.1598 2022/08/13 23:14:13 - mmengine - INFO - Epoch(train) [38][500/3757] lr: 9.4934e-02 eta: 3 days, 19:24:03 time: 0.3975 data_time: 0.0133 memory: 13431 grad_norm: 2.3677 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0435 loss: 3.0435 2022/08/13 23:14:53 - mmengine - INFO - Epoch(train) [38][600/3757] lr: 9.4934e-02 eta: 3 days, 19:23:22 time: 0.3939 data_time: 0.0138 memory: 13431 grad_norm: 2.3172 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8670 loss: 2.8670 2022/08/13 23:15:33 - mmengine - INFO - Epoch(train) [38][700/3757] lr: 9.4934e-02 eta: 3 days, 19:22:42 time: 0.4030 data_time: 0.0139 memory: 13431 grad_norm: 2.2827 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1277 loss: 3.1277 2022/08/13 23:16:13 - mmengine - INFO - Epoch(train) [38][800/3757] lr: 9.4934e-02 eta: 3 days, 19:22:02 time: 0.3979 data_time: 0.0145 memory: 13431 grad_norm: 2.2787 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9386 loss: 2.9386 2022/08/13 23:16:53 - mmengine - INFO - Epoch(train) [38][900/3757] lr: 9.4934e-02 eta: 3 days, 19:21:22 time: 0.4052 data_time: 0.0145 memory: 13431 grad_norm: 2.3014 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 3.0894 loss: 3.0894 2022/08/13 23:17:29 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 23:17:33 - mmengine - INFO - Epoch(train) [38][1000/3757] lr: 9.4934e-02 eta: 3 days, 19:20:41 time: 0.4011 data_time: 0.0149 memory: 13431 grad_norm: 2.2741 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9690 loss: 2.9690 2022/08/13 23:18:13 - mmengine - INFO - Epoch(train) [38][1100/3757] lr: 9.4934e-02 eta: 3 days, 19:20:00 time: 0.4010 data_time: 0.0143 memory: 13431 grad_norm: 2.1986 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9563 loss: 2.9563 2022/08/13 23:18:52 - mmengine - INFO - Epoch(train) [38][1200/3757] lr: 9.4934e-02 eta: 3 days, 19:19:18 time: 0.3960 data_time: 0.0137 memory: 13431 grad_norm: 2.3460 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.1576 loss: 3.1576 2022/08/13 23:19:32 - mmengine - INFO - Epoch(train) [38][1300/3757] lr: 9.4934e-02 eta: 3 days, 19:18:38 time: 0.4009 data_time: 0.0149 memory: 13431 grad_norm: 2.3352 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4296 loss: 3.4296 2022/08/13 23:20:13 - mmengine - INFO - Epoch(train) [38][1400/3757] lr: 9.4934e-02 eta: 3 days, 19:17:58 time: 0.4067 data_time: 0.0153 memory: 13431 grad_norm: 2.2762 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.3045 loss: 3.3045 2022/08/13 23:20:53 - mmengine - INFO - Epoch(train) [38][1500/3757] lr: 9.4934e-02 eta: 3 days, 19:17:21 time: 0.4036 data_time: 0.0148 memory: 13431 grad_norm: 2.3817 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1672 loss: 3.1672 2022/08/13 23:21:33 - mmengine - INFO - Epoch(train) [38][1600/3757] lr: 9.4934e-02 eta: 3 days, 19:16:42 time: 0.4033 data_time: 0.0150 memory: 13431 grad_norm: 2.3449 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2162 loss: 3.2162 2022/08/13 23:22:13 - mmengine - INFO - Epoch(train) [38][1700/3757] lr: 9.4934e-02 eta: 3 days, 19:16:01 time: 0.3974 data_time: 0.0138 memory: 13431 grad_norm: 2.3052 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0053 loss: 3.0053 2022/08/13 23:22:53 - mmengine - INFO - Epoch(train) [38][1800/3757] lr: 9.4934e-02 eta: 3 days, 19:15:21 time: 0.3968 data_time: 0.0139 memory: 13431 grad_norm: 2.2579 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2548 loss: 3.2548 2022/08/13 23:23:33 - mmengine - INFO - Epoch(train) [38][1900/3757] lr: 9.4934e-02 eta: 3 days, 19:14:40 time: 0.3949 data_time: 0.0134 memory: 13431 grad_norm: 2.2454 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1151 loss: 3.1151 2022/08/13 23:24:10 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 23:24:13 - mmengine - INFO - Epoch(train) [38][2000/3757] lr: 9.4934e-02 eta: 3 days, 19:14:01 time: 0.3932 data_time: 0.0142 memory: 13431 grad_norm: 2.2531 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1527 loss: 3.1527 2022/08/13 23:24:54 - mmengine - INFO - Epoch(train) [38][2100/3757] lr: 9.4934e-02 eta: 3 days, 19:13:22 time: 0.4047 data_time: 0.0144 memory: 13431 grad_norm: 2.3183 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0834 loss: 3.0834 2022/08/13 23:25:34 - mmengine - INFO - Epoch(train) [38][2200/3757] lr: 9.4934e-02 eta: 3 days, 19:12:45 time: 0.4072 data_time: 0.0149 memory: 13431 grad_norm: 2.2362 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9449 loss: 2.9449 2022/08/13 23:26:14 - mmengine - INFO - Epoch(train) [38][2300/3757] lr: 9.4934e-02 eta: 3 days, 19:12:05 time: 0.4047 data_time: 0.0136 memory: 13431 grad_norm: 2.1902 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0469 loss: 3.0469 2022/08/13 23:26:54 - mmengine - INFO - Epoch(train) [38][2400/3757] lr: 9.4934e-02 eta: 3 days, 19:11:25 time: 0.4035 data_time: 0.0143 memory: 13431 grad_norm: 2.2610 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9036 loss: 2.9036 2022/08/13 23:27:35 - mmengine - INFO - Epoch(train) [38][2500/3757] lr: 9.4934e-02 eta: 3 days, 19:10:46 time: 0.4121 data_time: 0.0159 memory: 13431 grad_norm: 2.2990 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9499 loss: 2.9499 2022/08/13 23:28:15 - mmengine - INFO - Epoch(train) [38][2600/3757] lr: 9.4934e-02 eta: 3 days, 19:10:10 time: 0.4038 data_time: 0.0158 memory: 13431 grad_norm: 2.2724 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0945 loss: 3.0945 2022/08/13 23:28:56 - mmengine - INFO - Epoch(train) [38][2700/3757] lr: 9.4934e-02 eta: 3 days, 19:09:31 time: 0.4066 data_time: 0.0152 memory: 13431 grad_norm: 2.2563 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1646 loss: 3.1646 2022/08/13 23:29:36 - mmengine - INFO - Epoch(train) [38][2800/3757] lr: 9.4934e-02 eta: 3 days, 19:08:52 time: 0.3959 data_time: 0.0146 memory: 13431 grad_norm: 2.2586 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2155 loss: 3.2155 2022/08/13 23:30:16 - mmengine - INFO - Epoch(train) [38][2900/3757] lr: 9.4934e-02 eta: 3 days, 19:08:14 time: 0.3958 data_time: 0.0139 memory: 13431 grad_norm: 2.2813 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8128 loss: 2.8128 2022/08/13 23:30:53 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 23:30:56 - mmengine - INFO - Epoch(train) [38][3000/3757] lr: 9.4934e-02 eta: 3 days, 19:07:34 time: 0.3938 data_time: 0.0142 memory: 13431 grad_norm: 2.2613 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9894 loss: 2.9894 2022/08/13 23:31:36 - mmengine - INFO - Epoch(train) [38][3100/3757] lr: 9.4934e-02 eta: 3 days, 19:06:53 time: 0.3944 data_time: 0.0134 memory: 13431 grad_norm: 2.2718 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6706 loss: 2.6706 2022/08/13 23:32:16 - mmengine - INFO - Epoch(train) [38][3200/3757] lr: 9.4934e-02 eta: 3 days, 19:06:14 time: 0.3951 data_time: 0.0136 memory: 13431 grad_norm: 2.3316 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1157 loss: 3.1157 2022/08/13 23:32:56 - mmengine - INFO - Epoch(train) [38][3300/3757] lr: 9.4934e-02 eta: 3 days, 19:05:34 time: 0.3974 data_time: 0.0136 memory: 13431 grad_norm: 2.2329 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9705 loss: 2.9705 2022/08/13 23:33:36 - mmengine - INFO - Epoch(train) [38][3400/3757] lr: 9.4934e-02 eta: 3 days, 19:04:53 time: 0.3956 data_time: 0.0141 memory: 13431 grad_norm: 2.3178 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1420 loss: 3.1420 2022/08/13 23:34:16 - mmengine - INFO - Epoch(train) [38][3500/3757] lr: 9.4934e-02 eta: 3 days, 19:04:13 time: 0.3960 data_time: 0.0137 memory: 13431 grad_norm: 2.2922 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.3827 loss: 3.3827 2022/08/13 23:34:57 - mmengine - INFO - Epoch(train) [38][3600/3757] lr: 9.4934e-02 eta: 3 days, 19:03:35 time: 0.3971 data_time: 0.0135 memory: 13431 grad_norm: 2.2643 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7215 loss: 2.7215 2022/08/13 23:35:37 - mmengine - INFO - Epoch(train) [38][3700/3757] lr: 9.4934e-02 eta: 3 days, 19:02:56 time: 0.3955 data_time: 0.0134 memory: 13431 grad_norm: 2.2784 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0310 loss: 3.0310 2022/08/13 23:36:00 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 23:36:00 - mmengine - INFO - Epoch(train) [38][3757/3757] lr: 9.4934e-02 eta: 3 days, 19:02:40 time: 0.3869 data_time: 0.0145 memory: 13431 grad_norm: 2.2478 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 3.2238 loss: 3.2238 2022/08/13 23:36:42 - mmengine - INFO - Epoch(train) [39][100/3757] lr: 9.4661e-02 eta: 3 days, 19:01:27 time: 0.3943 data_time: 0.0139 memory: 13431 grad_norm: 2.4241 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1764 loss: 3.1764 2022/08/13 23:37:22 - mmengine - INFO - Epoch(train) [39][200/3757] lr: 9.4661e-02 eta: 3 days, 19:00:47 time: 0.3972 data_time: 0.0154 memory: 13431 grad_norm: 2.3992 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1085 loss: 3.1085 2022/08/13 23:37:36 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 23:38:03 - mmengine - INFO - Epoch(train) [39][300/3757] lr: 9.4661e-02 eta: 3 days, 19:00:10 time: 0.4286 data_time: 0.0173 memory: 13431 grad_norm: 2.2872 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5856 loss: 2.5856 2022/08/13 23:38:43 - mmengine - INFO - Epoch(train) [39][400/3757] lr: 9.4661e-02 eta: 3 days, 18:59:32 time: 0.4193 data_time: 0.0152 memory: 13431 grad_norm: 2.2924 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1093 loss: 3.1093 2022/08/13 23:39:24 - mmengine - INFO - Epoch(train) [39][500/3757] lr: 9.4661e-02 eta: 3 days, 18:58:54 time: 0.4112 data_time: 0.0159 memory: 13431 grad_norm: 2.2601 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9887 loss: 2.9887 2022/08/13 23:40:04 - mmengine - INFO - Epoch(train) [39][600/3757] lr: 9.4661e-02 eta: 3 days, 18:58:15 time: 0.4100 data_time: 0.0137 memory: 13431 grad_norm: 2.3263 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1053 loss: 3.1053 2022/08/13 23:40:46 - mmengine - INFO - Epoch(train) [39][700/3757] lr: 9.4661e-02 eta: 3 days, 18:57:44 time: 0.4395 data_time: 0.0170 memory: 13431 grad_norm: 2.3080 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0766 loss: 3.0766 2022/08/13 23:41:26 - mmengine - INFO - Epoch(train) [39][800/3757] lr: 9.4661e-02 eta: 3 days, 18:57:05 time: 0.4087 data_time: 0.0146 memory: 13431 grad_norm: 2.3162 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9512 loss: 2.9512 2022/08/13 23:42:06 - mmengine - INFO - Epoch(train) [39][900/3757] lr: 9.4661e-02 eta: 3 days, 18:56:25 time: 0.4047 data_time: 0.0148 memory: 13431 grad_norm: 2.2613 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8103 loss: 2.8103 2022/08/13 23:42:46 - mmengine - INFO - Epoch(train) [39][1000/3757] lr: 9.4661e-02 eta: 3 days, 18:55:46 time: 0.4208 data_time: 0.0181 memory: 13431 grad_norm: 2.2654 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7467 loss: 2.7467 2022/08/13 23:43:26 - mmengine - INFO - Epoch(train) [39][1100/3757] lr: 9.4661e-02 eta: 3 days, 18:55:06 time: 0.4047 data_time: 0.0155 memory: 13431 grad_norm: 2.3402 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.0445 loss: 3.0445 2022/08/13 23:44:07 - mmengine - INFO - Epoch(train) [39][1200/3757] lr: 9.4661e-02 eta: 3 days, 18:54:28 time: 0.3996 data_time: 0.0139 memory: 13431 grad_norm: 2.3044 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7653 loss: 2.7653 2022/08/13 23:44:20 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 23:44:47 - mmengine - INFO - Epoch(train) [39][1300/3757] lr: 9.4661e-02 eta: 3 days, 18:53:51 time: 0.4236 data_time: 0.0151 memory: 13431 grad_norm: 2.2827 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.1356 loss: 3.1356 2022/08/13 23:45:28 - mmengine - INFO - Epoch(train) [39][1400/3757] lr: 9.4661e-02 eta: 3 days, 18:53:13 time: 0.3953 data_time: 0.0142 memory: 13431 grad_norm: 2.2867 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2142 loss: 3.2142 2022/08/13 23:46:08 - mmengine - INFO - Epoch(train) [39][1500/3757] lr: 9.4661e-02 eta: 3 days, 18:52:33 time: 0.3961 data_time: 0.0140 memory: 13431 grad_norm: 2.2874 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9039 loss: 2.9039 2022/08/13 23:46:48 - mmengine - INFO - Epoch(train) [39][1600/3757] lr: 9.4661e-02 eta: 3 days, 18:51:52 time: 0.3962 data_time: 0.0142 memory: 13431 grad_norm: 2.2884 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 3.1352 loss: 3.1352 2022/08/13 23:47:28 - mmengine - INFO - Epoch(train) [39][1700/3757] lr: 9.4661e-02 eta: 3 days, 18:51:12 time: 0.3959 data_time: 0.0137 memory: 13431 grad_norm: 2.2644 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.4166 loss: 3.4166 2022/08/13 23:48:08 - mmengine - INFO - Epoch(train) [39][1800/3757] lr: 9.4661e-02 eta: 3 days, 18:50:32 time: 0.3955 data_time: 0.0143 memory: 13431 grad_norm: 2.3422 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2716 loss: 3.2716 2022/08/13 23:48:48 - mmengine - INFO - Epoch(train) [39][1900/3757] lr: 9.4661e-02 eta: 3 days, 18:49:54 time: 0.4006 data_time: 0.0140 memory: 13431 grad_norm: 2.2756 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1283 loss: 3.1283 2022/08/13 23:49:28 - mmengine - INFO - Epoch(train) [39][2000/3757] lr: 9.4661e-02 eta: 3 days, 18:49:13 time: 0.4015 data_time: 0.0145 memory: 13431 grad_norm: 2.2207 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0033 loss: 3.0033 2022/08/13 23:50:08 - mmengine - INFO - Epoch(train) [39][2100/3757] lr: 9.4661e-02 eta: 3 days, 18:48:32 time: 0.3964 data_time: 0.0145 memory: 13431 grad_norm: 2.3757 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0990 loss: 3.0990 2022/08/13 23:50:48 - mmengine - INFO - Epoch(train) [39][2200/3757] lr: 9.4661e-02 eta: 3 days, 18:47:52 time: 0.3952 data_time: 0.0139 memory: 13431 grad_norm: 2.2078 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0484 loss: 3.0484 2022/08/13 23:51:02 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 23:51:28 - mmengine - INFO - Epoch(train) [39][2300/3757] lr: 9.4661e-02 eta: 3 days, 18:47:11 time: 0.3950 data_time: 0.0139 memory: 13431 grad_norm: 2.2706 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3227 loss: 3.3227 2022/08/13 23:52:08 - mmengine - INFO - Epoch(train) [39][2400/3757] lr: 9.4661e-02 eta: 3 days, 18:46:31 time: 0.3977 data_time: 0.0145 memory: 13431 grad_norm: 2.3773 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.1666 loss: 3.1666 2022/08/13 23:52:48 - mmengine - INFO - Epoch(train) [39][2500/3757] lr: 9.4661e-02 eta: 3 days, 18:45:50 time: 0.3967 data_time: 0.0142 memory: 13431 grad_norm: 2.3773 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.3436 loss: 3.3436 2022/08/13 23:53:28 - mmengine - INFO - Epoch(train) [39][2600/3757] lr: 9.4661e-02 eta: 3 days, 18:45:12 time: 0.4015 data_time: 0.0143 memory: 13431 grad_norm: 2.3978 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8655 loss: 2.8655 2022/08/13 23:54:08 - mmengine - INFO - Epoch(train) [39][2700/3757] lr: 9.4661e-02 eta: 3 days, 18:44:31 time: 0.4013 data_time: 0.0147 memory: 13431 grad_norm: 2.3306 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9689 loss: 2.9689 2022/08/13 23:54:48 - mmengine - INFO - Epoch(train) [39][2800/3757] lr: 9.4661e-02 eta: 3 days, 18:43:51 time: 0.3959 data_time: 0.0146 memory: 13431 grad_norm: 2.2986 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9931 loss: 2.9931 2022/08/13 23:55:29 - mmengine - INFO - Epoch(train) [39][2900/3757] lr: 9.4661e-02 eta: 3 days, 18:43:13 time: 0.3957 data_time: 0.0132 memory: 13431 grad_norm: 2.3232 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0545 loss: 3.0545 2022/08/13 23:56:09 - mmengine - INFO - Epoch(train) [39][3000/3757] lr: 9.4661e-02 eta: 3 days, 18:42:34 time: 0.3950 data_time: 0.0146 memory: 13431 grad_norm: 2.2859 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.4263 loss: 3.4263 2022/08/13 23:56:49 - mmengine - INFO - Epoch(train) [39][3100/3757] lr: 9.4661e-02 eta: 3 days, 18:41:54 time: 0.3947 data_time: 0.0139 memory: 13431 grad_norm: 2.2566 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1227 loss: 3.1227 2022/08/13 23:57:29 - mmengine - INFO - Epoch(train) [39][3200/3757] lr: 9.4661e-02 eta: 3 days, 18:41:14 time: 0.3959 data_time: 0.0137 memory: 13431 grad_norm: 2.3432 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1461 loss: 3.1461 2022/08/13 23:57:43 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/13 23:58:09 - mmengine - INFO - Epoch(train) [39][3300/3757] lr: 9.4661e-02 eta: 3 days, 18:40:34 time: 0.3956 data_time: 0.0137 memory: 13431 grad_norm: 2.2480 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8498 loss: 2.8498 2022/08/13 23:58:49 - mmengine - INFO - Epoch(train) [39][3400/3757] lr: 9.4661e-02 eta: 3 days, 18:39:55 time: 0.4057 data_time: 0.0131 memory: 13431 grad_norm: 2.2817 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.3281 loss: 3.3281 2022/08/13 23:59:29 - mmengine - INFO - Epoch(train) [39][3500/3757] lr: 9.4661e-02 eta: 3 days, 18:39:15 time: 0.3961 data_time: 0.0138 memory: 13431 grad_norm: 2.3415 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4096 loss: 3.4096 2022/08/14 00:00:16 - mmengine - INFO - Epoch(train) [39][3600/3757] lr: 9.4661e-02 eta: 3 days, 18:39:10 time: 0.3957 data_time: 0.0151 memory: 13431 grad_norm: 2.3777 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0625 loss: 3.0625 2022/08/14 00:00:56 - mmengine - INFO - Epoch(train) [39][3700/3757] lr: 9.4661e-02 eta: 3 days, 18:38:32 time: 0.3963 data_time: 0.0147 memory: 13431 grad_norm: 2.3070 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8076 loss: 2.8076 2022/08/14 00:01:19 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 00:01:19 - mmengine - INFO - Epoch(train) [39][3757/3757] lr: 9.4661e-02 eta: 3 days, 18:38:18 time: 0.3815 data_time: 0.0130 memory: 13431 grad_norm: 2.1877 top1_acc: 0.2857 top5_acc: 0.2857 loss_cls: 3.2128 loss: 3.2128 2022/08/14 00:02:02 - mmengine - INFO - Epoch(train) [40][100/3757] lr: 9.4382e-02 eta: 3 days, 18:37:06 time: 0.4110 data_time: 0.0151 memory: 13431 grad_norm: 2.3089 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.9652 loss: 2.9652 2022/08/14 00:02:42 - mmengine - INFO - Epoch(train) [40][200/3757] lr: 9.4382e-02 eta: 3 days, 18:36:27 time: 0.4076 data_time: 0.0161 memory: 13431 grad_norm: 2.2997 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1015 loss: 3.1015 2022/08/14 00:03:22 - mmengine - INFO - Epoch(train) [40][300/3757] lr: 9.4382e-02 eta: 3 days, 18:35:48 time: 0.3999 data_time: 0.0138 memory: 13431 grad_norm: 2.2603 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1477 loss: 3.1477 2022/08/14 00:04:02 - mmengine - INFO - Epoch(train) [40][400/3757] lr: 9.4382e-02 eta: 3 days, 18:35:09 time: 0.3959 data_time: 0.0141 memory: 13431 grad_norm: 2.2738 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1678 loss: 3.1678 2022/08/14 00:04:33 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 00:04:43 - mmengine - INFO - Epoch(train) [40][500/3757] lr: 9.4382e-02 eta: 3 days, 18:34:30 time: 0.3973 data_time: 0.0141 memory: 13431 grad_norm: 2.3281 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9810 loss: 2.9810 2022/08/14 00:05:23 - mmengine - INFO - Epoch(train) [40][600/3757] lr: 9.4382e-02 eta: 3 days, 18:33:52 time: 0.4011 data_time: 0.0141 memory: 13431 grad_norm: 2.2076 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3030 loss: 3.3030 2022/08/14 00:06:03 - mmengine - INFO - Epoch(train) [40][700/3757] lr: 9.4382e-02 eta: 3 days, 18:33:12 time: 0.4001 data_time: 0.0140 memory: 13431 grad_norm: 2.3215 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8941 loss: 2.8941 2022/08/14 00:06:43 - mmengine - INFO - Epoch(train) [40][800/3757] lr: 9.4382e-02 eta: 3 days, 18:32:31 time: 0.3973 data_time: 0.0145 memory: 13431 grad_norm: 2.3091 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.9028 loss: 2.9028 2022/08/14 00:07:23 - mmengine - INFO - Epoch(train) [40][900/3757] lr: 9.4382e-02 eta: 3 days, 18:31:51 time: 0.3984 data_time: 0.0148 memory: 13431 grad_norm: 2.3140 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8321 loss: 2.8321 2022/08/14 00:08:03 - mmengine - INFO - Epoch(train) [40][1000/3757] lr: 9.4382e-02 eta: 3 days, 18:31:12 time: 0.4040 data_time: 0.0161 memory: 13431 grad_norm: 2.2789 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9136 loss: 2.9136 2022/08/14 00:08:44 - mmengine - INFO - Epoch(train) [40][1100/3757] lr: 9.4382e-02 eta: 3 days, 18:30:33 time: 0.4037 data_time: 0.0152 memory: 13431 grad_norm: 2.2830 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0237 loss: 3.0237 2022/08/14 00:09:24 - mmengine - INFO - Epoch(train) [40][1200/3757] lr: 9.4382e-02 eta: 3 days, 18:29:54 time: 0.4081 data_time: 0.0150 memory: 13431 grad_norm: 2.3222 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8621 loss: 2.8621 2022/08/14 00:10:04 - mmengine - INFO - Epoch(train) [40][1300/3757] lr: 9.4382e-02 eta: 3 days, 18:29:15 time: 0.4056 data_time: 0.0150 memory: 13431 grad_norm: 2.2534 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8130 loss: 2.8130 2022/08/14 00:10:44 - mmengine - INFO - Epoch(train) [40][1400/3757] lr: 9.4382e-02 eta: 3 days, 18:28:36 time: 0.4085 data_time: 0.0156 memory: 13431 grad_norm: 2.3185 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9785 loss: 2.9785 2022/08/14 00:11:16 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 00:11:25 - mmengine - INFO - Epoch(train) [40][1500/3757] lr: 9.4382e-02 eta: 3 days, 18:27:58 time: 0.4059 data_time: 0.0157 memory: 13431 grad_norm: 2.3186 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0188 loss: 3.0188 2022/08/14 00:12:05 - mmengine - INFO - Epoch(train) [40][1600/3757] lr: 9.4382e-02 eta: 3 days, 18:27:19 time: 0.4038 data_time: 0.0159 memory: 13431 grad_norm: 2.3376 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.1750 loss: 3.1750 2022/08/14 00:12:46 - mmengine - INFO - Epoch(train) [40][1700/3757] lr: 9.4382e-02 eta: 3 days, 18:26:41 time: 0.3976 data_time: 0.0164 memory: 13431 grad_norm: 2.2612 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9842 loss: 2.9842 2022/08/14 00:13:26 - mmengine - INFO - Epoch(train) [40][1800/3757] lr: 9.4382e-02 eta: 3 days, 18:26:01 time: 0.3968 data_time: 0.0140 memory: 13431 grad_norm: 2.2927 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2259 loss: 3.2259 2022/08/14 00:14:06 - mmengine - INFO - Epoch(train) [40][1900/3757] lr: 9.4382e-02 eta: 3 days, 18:25:21 time: 0.3988 data_time: 0.0149 memory: 13431 grad_norm: 2.3513 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0800 loss: 3.0800 2022/08/14 00:14:46 - mmengine - INFO - Epoch(train) [40][2000/3757] lr: 9.4382e-02 eta: 3 days, 18:24:42 time: 0.4022 data_time: 0.0175 memory: 13431 grad_norm: 2.2878 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9009 loss: 2.9009 2022/08/14 00:15:26 - mmengine - INFO - Epoch(train) [40][2100/3757] lr: 9.4382e-02 eta: 3 days, 18:24:01 time: 0.3953 data_time: 0.0135 memory: 13431 grad_norm: 2.3135 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9286 loss: 2.9286 2022/08/14 00:16:06 - mmengine - INFO - Epoch(train) [40][2200/3757] lr: 9.4382e-02 eta: 3 days, 18:23:20 time: 0.3974 data_time: 0.0135 memory: 13431 grad_norm: 2.2932 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9380 loss: 2.9380 2022/08/14 00:16:46 - mmengine - INFO - Epoch(train) [40][2300/3757] lr: 9.4382e-02 eta: 3 days, 18:22:40 time: 0.3985 data_time: 0.0148 memory: 13431 grad_norm: 2.3850 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.9876 loss: 2.9876 2022/08/14 00:17:26 - mmengine - INFO - Epoch(train) [40][2400/3757] lr: 9.4382e-02 eta: 3 days, 18:22:00 time: 0.3969 data_time: 0.0137 memory: 13431 grad_norm: 2.3411 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0816 loss: 3.0816 2022/08/14 00:17:57 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 00:18:06 - mmengine - INFO - Epoch(train) [40][2500/3757] lr: 9.4382e-02 eta: 3 days, 18:21:21 time: 0.3947 data_time: 0.0147 memory: 13431 grad_norm: 2.2809 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2111 loss: 3.2111 2022/08/14 00:18:47 - mmengine - INFO - Epoch(train) [40][2600/3757] lr: 9.4382e-02 eta: 3 days, 18:20:43 time: 0.3987 data_time: 0.0143 memory: 13431 grad_norm: 2.2658 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9092 loss: 2.9092 2022/08/14 00:19:27 - mmengine - INFO - Epoch(train) [40][2700/3757] lr: 9.4382e-02 eta: 3 days, 18:20:03 time: 0.4000 data_time: 0.0155 memory: 13431 grad_norm: 2.2573 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9021 loss: 2.9021 2022/08/14 00:20:07 - mmengine - INFO - Epoch(train) [40][2800/3757] lr: 9.4382e-02 eta: 3 days, 18:19:23 time: 0.4069 data_time: 0.0155 memory: 13431 grad_norm: 2.3266 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0766 loss: 3.0766 2022/08/14 00:20:47 - mmengine - INFO - Epoch(train) [40][2900/3757] lr: 9.4382e-02 eta: 3 days, 18:18:43 time: 0.4060 data_time: 0.0164 memory: 13431 grad_norm: 2.2887 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1225 loss: 3.1225 2022/08/14 00:21:27 - mmengine - INFO - Epoch(train) [40][3000/3757] lr: 9.4382e-02 eta: 3 days, 18:18:05 time: 0.4131 data_time: 0.0165 memory: 13431 grad_norm: 2.2647 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1192 loss: 3.1192 2022/08/14 00:22:08 - mmengine - INFO - Epoch(train) [40][3100/3757] lr: 9.4382e-02 eta: 3 days, 18:17:27 time: 0.4035 data_time: 0.0156 memory: 13431 grad_norm: 2.3159 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1442 loss: 3.1442 2022/08/14 00:22:48 - mmengine - INFO - Epoch(train) [40][3200/3757] lr: 9.4382e-02 eta: 3 days, 18:16:48 time: 0.3968 data_time: 0.0148 memory: 13431 grad_norm: 2.3364 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8287 loss: 2.8287 2022/08/14 00:23:29 - mmengine - INFO - Epoch(train) [40][3300/3757] lr: 9.4382e-02 eta: 3 days, 18:16:12 time: 0.3960 data_time: 0.0138 memory: 13431 grad_norm: 2.3446 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0261 loss: 3.0261 2022/08/14 00:24:09 - mmengine - INFO - Epoch(train) [40][3400/3757] lr: 9.4382e-02 eta: 3 days, 18:15:32 time: 0.3966 data_time: 0.0145 memory: 13431 grad_norm: 2.3270 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0336 loss: 3.0336 2022/08/14 00:24:40 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 00:24:49 - mmengine - INFO - Epoch(train) [40][3500/3757] lr: 9.4382e-02 eta: 3 days, 18:14:51 time: 0.3967 data_time: 0.0142 memory: 13431 grad_norm: 2.2792 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1857 loss: 3.1857 2022/08/14 00:25:29 - mmengine - INFO - Epoch(train) [40][3600/3757] lr: 9.4382e-02 eta: 3 days, 18:14:11 time: 0.3952 data_time: 0.0143 memory: 13431 grad_norm: 2.2789 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2660 loss: 3.2660 2022/08/14 00:26:09 - mmengine - INFO - Epoch(train) [40][3700/3757] lr: 9.4382e-02 eta: 3 days, 18:13:31 time: 0.3970 data_time: 0.0149 memory: 13431 grad_norm: 2.2292 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9632 loss: 2.9632 2022/08/14 00:26:32 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 00:26:32 - mmengine - INFO - Epoch(train) [40][3757/3757] lr: 9.4382e-02 eta: 3 days, 18:13:16 time: 0.3827 data_time: 0.0131 memory: 13431 grad_norm: 2.3336 top1_acc: 0.1429 top5_acc: 0.7143 loss_cls: 3.0078 loss: 3.0078 2022/08/14 00:26:32 - mmengine - INFO - Saving checkpoint at 40 epochs 2022/08/14 00:26:59 - mmengine - INFO - Epoch(val) [40][100/310] eta: 0:00:46 time: 0.2218 data_time: 0.0924 memory: 1974 2022/08/14 00:27:21 - mmengine - INFO - Epoch(val) [40][200/310] eta: 0:00:21 time: 0.1915 data_time: 0.0611 memory: 1974 2022/08/14 00:27:40 - mmengine - INFO - Epoch(val) [40][300/310] eta: 0:00:01 time: 0.1321 data_time: 0.0238 memory: 1974 2022/08/14 00:27:43 - mmengine - INFO - Epoch(val) [40][310/310] acc/top1: 0.3794 acc/top5: 0.6520 acc/mean1: 0.3793 2022/08/14 00:28:25 - mmengine - INFO - Epoch(train) [41][100/3757] lr: 9.4096e-02 eta: 3 days, 18:12:03 time: 0.4013 data_time: 0.0151 memory: 13431 grad_norm: 2.3780 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2173 loss: 3.2173 2022/08/14 00:29:05 - mmengine - INFO - Epoch(train) [41][200/3757] lr: 9.4096e-02 eta: 3 days, 18:11:23 time: 0.4001 data_time: 0.0140 memory: 13431 grad_norm: 2.2711 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1053 loss: 3.1053 2022/08/14 00:29:45 - mmengine - INFO - Epoch(train) [41][300/3757] lr: 9.4096e-02 eta: 3 days, 18:10:41 time: 0.3978 data_time: 0.0156 memory: 13431 grad_norm: 2.2540 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9853 loss: 2.9853 2022/08/14 00:30:24 - mmengine - INFO - Epoch(train) [41][400/3757] lr: 9.4096e-02 eta: 3 days, 18:10:00 time: 0.3957 data_time: 0.0136 memory: 13431 grad_norm: 2.3703 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7627 loss: 2.7627 2022/08/14 00:31:04 - mmengine - INFO - Epoch(train) [41][500/3757] lr: 9.4096e-02 eta: 3 days, 18:09:18 time: 0.3956 data_time: 0.0134 memory: 13431 grad_norm: 2.3104 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9675 loss: 2.9675 2022/08/14 00:31:44 - mmengine - INFO - Epoch(train) [41][600/3757] lr: 9.4096e-02 eta: 3 days, 18:08:39 time: 0.3956 data_time: 0.0130 memory: 13431 grad_norm: 2.3726 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0634 loss: 3.0634 2022/08/14 00:32:24 - mmengine - INFO - Epoch(train) [41][700/3757] lr: 9.4096e-02 eta: 3 days, 18:07:57 time: 0.3944 data_time: 0.0137 memory: 13431 grad_norm: 2.2982 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9943 loss: 2.9943 2022/08/14 00:32:32 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 00:33:04 - mmengine - INFO - Epoch(train) [41][800/3757] lr: 9.4096e-02 eta: 3 days, 18:07:17 time: 0.3986 data_time: 0.0143 memory: 13431 grad_norm: 2.3029 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1231 loss: 3.1231 2022/08/14 00:33:44 - mmengine - INFO - Epoch(train) [41][900/3757] lr: 9.4096e-02 eta: 3 days, 18:06:36 time: 0.3958 data_time: 0.0130 memory: 13431 grad_norm: 2.2901 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7806 loss: 2.7806 2022/08/14 00:34:24 - mmengine - INFO - Epoch(train) [41][1000/3757] lr: 9.4096e-02 eta: 3 days, 18:05:54 time: 0.3948 data_time: 0.0128 memory: 13431 grad_norm: 2.3651 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0502 loss: 3.0502 2022/08/14 00:35:04 - mmengine - INFO - Epoch(train) [41][1100/3757] lr: 9.4096e-02 eta: 3 days, 18:05:13 time: 0.3972 data_time: 0.0139 memory: 13431 grad_norm: 2.3127 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1546 loss: 3.1546 2022/08/14 00:35:44 - mmengine - INFO - Epoch(train) [41][1200/3757] lr: 9.4096e-02 eta: 3 days, 18:04:32 time: 0.3965 data_time: 0.0154 memory: 13431 grad_norm: 2.3913 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 3.1350 loss: 3.1350 2022/08/14 00:36:24 - mmengine - INFO - Epoch(train) [41][1300/3757] lr: 9.4096e-02 eta: 3 days, 18:03:53 time: 0.3981 data_time: 0.0139 memory: 13431 grad_norm: 2.3466 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0337 loss: 3.0337 2022/08/14 00:37:04 - mmengine - INFO - Epoch(train) [41][1400/3757] lr: 9.4096e-02 eta: 3 days, 18:03:12 time: 0.3963 data_time: 0.0136 memory: 13431 grad_norm: 2.2878 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0253 loss: 3.0253 2022/08/14 00:37:44 - mmengine - INFO - Epoch(train) [41][1500/3757] lr: 9.4096e-02 eta: 3 days, 18:02:31 time: 0.3953 data_time: 0.0143 memory: 13431 grad_norm: 2.2878 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1471 loss: 3.1471 2022/08/14 00:38:24 - mmengine - INFO - Epoch(train) [41][1600/3757] lr: 9.4096e-02 eta: 3 days, 18:01:52 time: 0.3952 data_time: 0.0139 memory: 13431 grad_norm: 2.1839 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1888 loss: 3.1888 2022/08/14 00:39:04 - mmengine - INFO - Epoch(train) [41][1700/3757] lr: 9.4096e-02 eta: 3 days, 18:01:11 time: 0.3957 data_time: 0.0143 memory: 13431 grad_norm: 2.3413 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8770 loss: 2.8770 2022/08/14 00:39:12 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 00:39:44 - mmengine - INFO - Epoch(train) [41][1800/3757] lr: 9.4096e-02 eta: 3 days, 18:00:31 time: 0.3951 data_time: 0.0143 memory: 13431 grad_norm: 2.3206 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.1723 loss: 3.1723 2022/08/14 00:40:24 - mmengine - INFO - Epoch(train) [41][1900/3757] lr: 9.4096e-02 eta: 3 days, 17:59:51 time: 0.3956 data_time: 0.0142 memory: 13431 grad_norm: 2.2293 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.0561 loss: 3.0561 2022/08/14 00:41:04 - mmengine - INFO - Epoch(train) [41][2000/3757] lr: 9.4096e-02 eta: 3 days, 17:59:13 time: 0.4036 data_time: 0.0135 memory: 13431 grad_norm: 2.2493 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1526 loss: 3.1526 2022/08/14 00:41:44 - mmengine - INFO - Epoch(train) [41][2100/3757] lr: 9.4096e-02 eta: 3 days, 17:58:32 time: 0.3959 data_time: 0.0139 memory: 13431 grad_norm: 2.3334 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0198 loss: 3.0198 2022/08/14 00:42:24 - mmengine - INFO - Epoch(train) [41][2200/3757] lr: 9.4096e-02 eta: 3 days, 17:57:52 time: 0.3947 data_time: 0.0139 memory: 13431 grad_norm: 2.3289 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.2908 loss: 3.2908 2022/08/14 00:43:04 - mmengine - INFO - Epoch(train) [41][2300/3757] lr: 9.4096e-02 eta: 3 days, 17:57:13 time: 0.3970 data_time: 0.0143 memory: 13431 grad_norm: 2.2983 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3264 loss: 3.3264 2022/08/14 00:43:45 - mmengine - INFO - Epoch(train) [41][2400/3757] lr: 9.4096e-02 eta: 3 days, 17:56:32 time: 0.3977 data_time: 0.0136 memory: 13431 grad_norm: 2.3126 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9798 loss: 2.9798 2022/08/14 00:44:25 - mmengine - INFO - Epoch(train) [41][2500/3757] lr: 9.4096e-02 eta: 3 days, 17:55:52 time: 0.3995 data_time: 0.0155 memory: 13431 grad_norm: 2.3259 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2011 loss: 3.2011 2022/08/14 00:45:05 - mmengine - INFO - Epoch(train) [41][2600/3757] lr: 9.4096e-02 eta: 3 days, 17:55:12 time: 0.3955 data_time: 0.0131 memory: 13431 grad_norm: 2.2418 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1412 loss: 3.1412 2022/08/14 00:45:45 - mmengine - INFO - Epoch(train) [41][2700/3757] lr: 9.4096e-02 eta: 3 days, 17:54:35 time: 0.4077 data_time: 0.0145 memory: 13431 grad_norm: 2.2737 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0177 loss: 3.0177 2022/08/14 00:45:53 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 00:46:25 - mmengine - INFO - Epoch(train) [41][2800/3757] lr: 9.4096e-02 eta: 3 days, 17:53:55 time: 0.3961 data_time: 0.0162 memory: 13431 grad_norm: 2.3096 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.3660 loss: 3.3660 2022/08/14 00:47:05 - mmengine - INFO - Epoch(train) [41][2900/3757] lr: 9.4096e-02 eta: 3 days, 17:53:15 time: 0.3987 data_time: 0.0159 memory: 13431 grad_norm: 2.3219 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6171 loss: 2.6171 2022/08/14 00:47:45 - mmengine - INFO - Epoch(train) [41][3000/3757] lr: 9.4096e-02 eta: 3 days, 17:52:35 time: 0.3973 data_time: 0.0141 memory: 13431 grad_norm: 2.3058 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1552 loss: 3.1552 2022/08/14 00:48:25 - mmengine - INFO - Epoch(train) [41][3100/3757] lr: 9.4096e-02 eta: 3 days, 17:51:55 time: 0.3951 data_time: 0.0133 memory: 13431 grad_norm: 2.2886 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.8002 loss: 2.8002 2022/08/14 00:49:06 - mmengine - INFO - Epoch(train) [41][3200/3757] lr: 9.4096e-02 eta: 3 days, 17:51:16 time: 0.4050 data_time: 0.0138 memory: 13431 grad_norm: 2.3576 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1618 loss: 3.1618 2022/08/14 00:49:46 - mmengine - INFO - Epoch(train) [41][3300/3757] lr: 9.4096e-02 eta: 3 days, 17:50:36 time: 0.4040 data_time: 0.0143 memory: 13431 grad_norm: 2.3539 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2600 loss: 3.2600 2022/08/14 00:50:26 - mmengine - INFO - Epoch(train) [41][3400/3757] lr: 9.4096e-02 eta: 3 days, 17:49:57 time: 0.4006 data_time: 0.0138 memory: 13431 grad_norm: 2.2980 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2817 loss: 3.2817 2022/08/14 00:51:07 - mmengine - INFO - Epoch(train) [41][3500/3757] lr: 9.4096e-02 eta: 3 days, 17:49:19 time: 0.4075 data_time: 0.0150 memory: 13431 grad_norm: 2.2980 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1933 loss: 3.1933 2022/08/14 00:51:47 - mmengine - INFO - Epoch(train) [41][3600/3757] lr: 9.4096e-02 eta: 3 days, 17:48:38 time: 0.3981 data_time: 0.0147 memory: 13431 grad_norm: 2.3524 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1367 loss: 3.1367 2022/08/14 00:52:27 - mmengine - INFO - Epoch(train) [41][3700/3757] lr: 9.4096e-02 eta: 3 days, 17:47:58 time: 0.3972 data_time: 0.0159 memory: 13431 grad_norm: 2.3203 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2659 loss: 3.2659 2022/08/14 00:52:35 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 00:52:49 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 00:52:49 - mmengine - INFO - Epoch(train) [41][3757/3757] lr: 9.4096e-02 eta: 3 days, 17:47:42 time: 0.3875 data_time: 0.0138 memory: 13431 grad_norm: 2.3465 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 3.6215 loss: 3.6215 2022/08/14 00:53:32 - mmengine - INFO - Epoch(train) [42][100/3757] lr: 9.3804e-02 eta: 3 days, 17:46:31 time: 0.4033 data_time: 0.0159 memory: 13431 grad_norm: 2.2616 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0712 loss: 3.0712 2022/08/14 00:54:12 - mmengine - INFO - Epoch(train) [42][200/3757] lr: 9.3804e-02 eta: 3 days, 17:45:50 time: 0.4023 data_time: 0.0141 memory: 13431 grad_norm: 2.3961 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2385 loss: 3.2385 2022/08/14 00:54:52 - mmengine - INFO - Epoch(train) [42][300/3757] lr: 9.3804e-02 eta: 3 days, 17:45:12 time: 0.4117 data_time: 0.0148 memory: 13431 grad_norm: 2.4164 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1105 loss: 3.1105 2022/08/14 00:55:32 - mmengine - INFO - Epoch(train) [42][400/3757] lr: 9.3804e-02 eta: 3 days, 17:44:33 time: 0.4052 data_time: 0.0163 memory: 13431 grad_norm: 2.2591 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2112 loss: 3.2112 2022/08/14 00:56:13 - mmengine - INFO - Epoch(train) [42][500/3757] lr: 9.3804e-02 eta: 3 days, 17:43:54 time: 0.4042 data_time: 0.0158 memory: 13431 grad_norm: 2.2926 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7034 loss: 2.7034 2022/08/14 00:56:53 - mmengine - INFO - Epoch(train) [42][600/3757] lr: 9.3804e-02 eta: 3 days, 17:43:14 time: 0.4042 data_time: 0.0152 memory: 13431 grad_norm: 2.2645 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0687 loss: 3.0687 2022/08/14 00:57:33 - mmengine - INFO - Epoch(train) [42][700/3757] lr: 9.3804e-02 eta: 3 days, 17:42:36 time: 0.4174 data_time: 0.0147 memory: 13431 grad_norm: 2.2798 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6249 loss: 2.6249 2022/08/14 00:58:13 - mmengine - INFO - Epoch(train) [42][800/3757] lr: 9.3804e-02 eta: 3 days, 17:41:55 time: 0.4032 data_time: 0.0152 memory: 13431 grad_norm: 2.3471 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.1594 loss: 3.1594 2022/08/14 00:58:53 - mmengine - INFO - Epoch(train) [42][900/3757] lr: 9.3804e-02 eta: 3 days, 17:41:16 time: 0.4081 data_time: 0.0156 memory: 13431 grad_norm: 2.3115 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9627 loss: 2.9627 2022/08/14 00:59:19 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 00:59:34 - mmengine - INFO - Epoch(train) [42][1000/3757] lr: 9.3804e-02 eta: 3 days, 17:40:39 time: 0.4236 data_time: 0.0168 memory: 13431 grad_norm: 2.3522 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0985 loss: 3.0985 2022/08/14 01:00:14 - mmengine - INFO - Epoch(train) [42][1100/3757] lr: 9.3804e-02 eta: 3 days, 17:40:00 time: 0.4079 data_time: 0.0154 memory: 13431 grad_norm: 2.3690 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1920 loss: 3.1920 2022/08/14 01:00:54 - mmengine - INFO - Epoch(train) [42][1200/3757] lr: 9.3804e-02 eta: 3 days, 17:39:21 time: 0.3987 data_time: 0.0144 memory: 13431 grad_norm: 2.2951 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0581 loss: 3.0581 2022/08/14 01:01:34 - mmengine - INFO - Epoch(train) [42][1300/3757] lr: 9.3804e-02 eta: 3 days, 17:38:41 time: 0.3941 data_time: 0.0146 memory: 13431 grad_norm: 2.2685 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.2627 loss: 3.2627 2022/08/14 01:02:14 - mmengine - INFO - Epoch(train) [42][1400/3757] lr: 9.3804e-02 eta: 3 days, 17:38:01 time: 0.3963 data_time: 0.0134 memory: 13431 grad_norm: 2.2938 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0781 loss: 3.0781 2022/08/14 01:02:55 - mmengine - INFO - Epoch(train) [42][1500/3757] lr: 9.3804e-02 eta: 3 days, 17:37:22 time: 0.3980 data_time: 0.0142 memory: 13431 grad_norm: 2.2839 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0207 loss: 3.0207 2022/08/14 01:03:35 - mmengine - INFO - Epoch(train) [42][1600/3757] lr: 9.3804e-02 eta: 3 days, 17:36:43 time: 0.3955 data_time: 0.0136 memory: 13431 grad_norm: 2.2681 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9975 loss: 2.9975 2022/08/14 01:04:16 - mmengine - INFO - Epoch(train) [42][1700/3757] lr: 9.3804e-02 eta: 3 days, 17:36:05 time: 0.4093 data_time: 0.0140 memory: 13431 grad_norm: 2.2605 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9935 loss: 2.9935 2022/08/14 01:04:56 - mmengine - INFO - Epoch(train) [42][1800/3757] lr: 9.3804e-02 eta: 3 days, 17:35:27 time: 0.3966 data_time: 0.0143 memory: 13431 grad_norm: 2.3005 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2239 loss: 3.2239 2022/08/14 01:05:36 - mmengine - INFO - Epoch(train) [42][1900/3757] lr: 9.3804e-02 eta: 3 days, 17:34:48 time: 0.3953 data_time: 0.0140 memory: 13431 grad_norm: 2.3349 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2179 loss: 3.2179 2022/08/14 01:06:02 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 01:06:17 - mmengine - INFO - Epoch(train) [42][2000/3757] lr: 9.3804e-02 eta: 3 days, 17:34:09 time: 0.3947 data_time: 0.0139 memory: 13431 grad_norm: 2.3311 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.0785 loss: 3.0785 2022/08/14 01:06:56 - mmengine - INFO - Epoch(train) [42][2100/3757] lr: 9.3804e-02 eta: 3 days, 17:33:28 time: 0.3958 data_time: 0.0141 memory: 13431 grad_norm: 2.2838 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1964 loss: 3.1964 2022/08/14 01:07:37 - mmengine - INFO - Epoch(train) [42][2200/3757] lr: 9.3804e-02 eta: 3 days, 17:32:49 time: 0.3957 data_time: 0.0141 memory: 13431 grad_norm: 2.3086 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.2907 loss: 3.2907 2022/08/14 01:08:17 - mmengine - INFO - Epoch(train) [42][2300/3757] lr: 9.3804e-02 eta: 3 days, 17:32:09 time: 0.3961 data_time: 0.0139 memory: 13431 grad_norm: 2.3664 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0932 loss: 3.0932 2022/08/14 01:08:57 - mmengine - INFO - Epoch(train) [42][2400/3757] lr: 9.3804e-02 eta: 3 days, 17:31:30 time: 0.4000 data_time: 0.0139 memory: 13431 grad_norm: 2.3437 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2419 loss: 3.2419 2022/08/14 01:09:37 - mmengine - INFO - Epoch(train) [42][2500/3757] lr: 9.3804e-02 eta: 3 days, 17:30:49 time: 0.3951 data_time: 0.0144 memory: 13431 grad_norm: 2.2854 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7835 loss: 2.7835 2022/08/14 01:10:17 - mmengine - INFO - Epoch(train) [42][2600/3757] lr: 9.3804e-02 eta: 3 days, 17:30:10 time: 0.4046 data_time: 0.0137 memory: 13431 grad_norm: 2.3595 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3679 loss: 3.3679 2022/08/14 01:10:57 - mmengine - INFO - Epoch(train) [42][2700/3757] lr: 9.3804e-02 eta: 3 days, 17:29:31 time: 0.3972 data_time: 0.0137 memory: 13431 grad_norm: 2.2873 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0669 loss: 3.0669 2022/08/14 01:11:37 - mmengine - INFO - Epoch(train) [42][2800/3757] lr: 9.3804e-02 eta: 3 days, 17:28:50 time: 0.3960 data_time: 0.0143 memory: 13431 grad_norm: 2.1934 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7971 loss: 2.7971 2022/08/14 01:12:17 - mmengine - INFO - Epoch(train) [42][2900/3757] lr: 9.3804e-02 eta: 3 days, 17:28:10 time: 0.3971 data_time: 0.0139 memory: 13431 grad_norm: 2.2937 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2052 loss: 3.2052 2022/08/14 01:12:43 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 01:12:57 - mmengine - INFO - Epoch(train) [42][3000/3757] lr: 9.3804e-02 eta: 3 days, 17:27:29 time: 0.3958 data_time: 0.0134 memory: 13431 grad_norm: 2.3030 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2117 loss: 3.2117 2022/08/14 01:13:37 - mmengine - INFO - Epoch(train) [42][3100/3757] lr: 9.3804e-02 eta: 3 days, 17:26:49 time: 0.3989 data_time: 0.0141 memory: 13431 grad_norm: 2.3285 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2657 loss: 3.2657 2022/08/14 01:14:18 - mmengine - INFO - Epoch(train) [42][3200/3757] lr: 9.3804e-02 eta: 3 days, 17:26:10 time: 0.3975 data_time: 0.0140 memory: 13431 grad_norm: 2.2802 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1357 loss: 3.1357 2022/08/14 01:14:58 - mmengine - INFO - Epoch(train) [42][3300/3757] lr: 9.3804e-02 eta: 3 days, 17:25:31 time: 0.4006 data_time: 0.0175 memory: 13431 grad_norm: 2.3355 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8802 loss: 2.8802 2022/08/14 01:15:38 - mmengine - INFO - Epoch(train) [42][3400/3757] lr: 9.3804e-02 eta: 3 days, 17:24:52 time: 0.4032 data_time: 0.0157 memory: 13431 grad_norm: 2.3191 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0112 loss: 3.0112 2022/08/14 01:16:18 - mmengine - INFO - Epoch(train) [42][3500/3757] lr: 9.3804e-02 eta: 3 days, 17:24:12 time: 0.4111 data_time: 0.0153 memory: 13431 grad_norm: 2.2624 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3040 loss: 3.3040 2022/08/14 01:16:59 - mmengine - INFO - Epoch(train) [42][3600/3757] lr: 9.3804e-02 eta: 3 days, 17:23:33 time: 0.4205 data_time: 0.0142 memory: 13431 grad_norm: 2.4280 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1531 loss: 3.1531 2022/08/14 01:17:39 - mmengine - INFO - Epoch(train) [42][3700/3757] lr: 9.3804e-02 eta: 3 days, 17:22:53 time: 0.3962 data_time: 0.0165 memory: 13431 grad_norm: 2.3544 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0482 loss: 3.0482 2022/08/14 01:18:01 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 01:18:01 - mmengine - INFO - Epoch(train) [42][3757/3757] lr: 9.3804e-02 eta: 3 days, 17:22:37 time: 0.3875 data_time: 0.0132 memory: 13431 grad_norm: 2.4374 top1_acc: 0.1429 top5_acc: 0.5714 loss_cls: 3.1633 loss: 3.1633 2022/08/14 01:18:44 - mmengine - INFO - Epoch(train) [43][100/3757] lr: 9.3504e-02 eta: 3 days, 17:21:27 time: 0.4006 data_time: 0.0161 memory: 13431 grad_norm: 2.3431 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9517 loss: 2.9517 2022/08/14 01:19:24 - mmengine - INFO - Epoch(train) [43][200/3757] lr: 9.3504e-02 eta: 3 days, 17:20:47 time: 0.3984 data_time: 0.0151 memory: 13431 grad_norm: 2.3638 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9257 loss: 2.9257 2022/08/14 01:19:26 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 01:20:04 - mmengine - INFO - Epoch(train) [43][300/3757] lr: 9.3504e-02 eta: 3 days, 17:20:06 time: 0.3967 data_time: 0.0138 memory: 13431 grad_norm: 2.2835 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8975 loss: 2.8975 2022/08/14 01:20:44 - mmengine - INFO - Epoch(train) [43][400/3757] lr: 9.3504e-02 eta: 3 days, 17:19:27 time: 0.4002 data_time: 0.0147 memory: 13431 grad_norm: 2.2795 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.8298 loss: 2.8298 2022/08/14 01:21:24 - mmengine - INFO - Epoch(train) [43][500/3757] lr: 9.3504e-02 eta: 3 days, 17:18:46 time: 0.4019 data_time: 0.0145 memory: 13431 grad_norm: 2.3424 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1835 loss: 3.1835 2022/08/14 01:22:04 - mmengine - INFO - Epoch(train) [43][600/3757] lr: 9.3504e-02 eta: 3 days, 17:18:05 time: 0.4005 data_time: 0.0152 memory: 13431 grad_norm: 2.3212 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.1237 loss: 3.1237 2022/08/14 01:22:44 - mmengine - INFO - Epoch(train) [43][700/3757] lr: 9.3504e-02 eta: 3 days, 17:17:24 time: 0.3991 data_time: 0.0133 memory: 13431 grad_norm: 2.2532 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9583 loss: 2.9583 2022/08/14 01:23:24 - mmengine - INFO - Epoch(train) [43][800/3757] lr: 9.3504e-02 eta: 3 days, 17:16:46 time: 0.3977 data_time: 0.0139 memory: 13431 grad_norm: 2.2455 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9817 loss: 2.9817 2022/08/14 01:24:04 - mmengine - INFO - Epoch(train) [43][900/3757] lr: 9.3504e-02 eta: 3 days, 17:16:05 time: 0.3956 data_time: 0.0137 memory: 13431 grad_norm: 2.3427 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3882 loss: 3.3882 2022/08/14 01:24:44 - mmengine - INFO - Epoch(train) [43][1000/3757] lr: 9.3504e-02 eta: 3 days, 17:15:25 time: 0.3969 data_time: 0.0140 memory: 13431 grad_norm: 2.3733 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1997 loss: 3.1997 2022/08/14 01:25:24 - mmengine - INFO - Epoch(train) [43][1100/3757] lr: 9.3504e-02 eta: 3 days, 17:14:46 time: 0.4021 data_time: 0.0136 memory: 13431 grad_norm: 2.3504 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0892 loss: 3.0892 2022/08/14 01:26:04 - mmengine - INFO - Epoch(train) [43][1200/3757] lr: 9.3504e-02 eta: 3 days, 17:14:05 time: 0.3976 data_time: 0.0157 memory: 13431 grad_norm: 2.2902 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8930 loss: 2.8930 2022/08/14 01:26:07 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 01:26:44 - mmengine - INFO - Epoch(train) [43][1300/3757] lr: 9.3504e-02 eta: 3 days, 17:13:26 time: 0.3983 data_time: 0.0145 memory: 13431 grad_norm: 2.3742 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1755 loss: 3.1755 2022/08/14 01:27:24 - mmengine - INFO - Epoch(train) [43][1400/3757] lr: 9.3504e-02 eta: 3 days, 17:12:47 time: 0.3963 data_time: 0.0142 memory: 13431 grad_norm: 2.2665 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2360 loss: 3.2360 2022/08/14 01:28:05 - mmengine - INFO - Epoch(train) [43][1500/3757] lr: 9.3504e-02 eta: 3 days, 17:12:08 time: 0.3980 data_time: 0.0145 memory: 13431 grad_norm: 2.2728 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.1395 loss: 3.1395 2022/08/14 01:28:45 - mmengine - INFO - Epoch(train) [43][1600/3757] lr: 9.3504e-02 eta: 3 days, 17:11:27 time: 0.3973 data_time: 0.0143 memory: 13431 grad_norm: 2.3729 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1152 loss: 3.1152 2022/08/14 01:29:25 - mmengine - INFO - Epoch(train) [43][1700/3757] lr: 9.3504e-02 eta: 3 days, 17:10:46 time: 0.3949 data_time: 0.0139 memory: 13431 grad_norm: 2.2803 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.2248 loss: 3.2248 2022/08/14 01:30:05 - mmengine - INFO - Epoch(train) [43][1800/3757] lr: 9.3504e-02 eta: 3 days, 17:10:05 time: 0.3953 data_time: 0.0133 memory: 13431 grad_norm: 2.2790 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9667 loss: 2.9667 2022/08/14 01:30:45 - mmengine - INFO - Epoch(train) [43][1900/3757] lr: 9.3504e-02 eta: 3 days, 17:09:26 time: 0.3978 data_time: 0.0149 memory: 13431 grad_norm: 2.3344 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9009 loss: 2.9009 2022/08/14 01:31:24 - mmengine - INFO - Epoch(train) [43][2000/3757] lr: 9.3504e-02 eta: 3 days, 17:08:44 time: 0.3969 data_time: 0.0150 memory: 13431 grad_norm: 2.2959 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7956 loss: 2.7956 2022/08/14 01:32:05 - mmengine - INFO - Epoch(train) [43][2100/3757] lr: 9.3504e-02 eta: 3 days, 17:08:04 time: 0.3971 data_time: 0.0144 memory: 13431 grad_norm: 2.2191 top1_acc: 0.1250 top5_acc: 1.0000 loss_cls: 2.9684 loss: 2.9684 2022/08/14 01:32:45 - mmengine - INFO - Epoch(train) [43][2200/3757] lr: 9.3504e-02 eta: 3 days, 17:07:26 time: 0.3999 data_time: 0.0143 memory: 13431 grad_norm: 2.2806 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8178 loss: 2.8178 2022/08/14 01:32:47 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 01:33:25 - mmengine - INFO - Epoch(train) [43][2300/3757] lr: 9.3504e-02 eta: 3 days, 17:06:45 time: 0.4001 data_time: 0.0149 memory: 13431 grad_norm: 2.2515 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1451 loss: 3.1451 2022/08/14 01:34:05 - mmengine - INFO - Epoch(train) [43][2400/3757] lr: 9.3504e-02 eta: 3 days, 17:06:05 time: 0.3971 data_time: 0.0141 memory: 13431 grad_norm: 2.2966 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.3455 loss: 3.3455 2022/08/14 01:34:45 - mmengine - INFO - Epoch(train) [43][2500/3757] lr: 9.3504e-02 eta: 3 days, 17:05:24 time: 0.3952 data_time: 0.0150 memory: 13431 grad_norm: 2.3278 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2340 loss: 3.2340 2022/08/14 01:35:25 - mmengine - INFO - Epoch(train) [43][2600/3757] lr: 9.3504e-02 eta: 3 days, 17:04:46 time: 0.4137 data_time: 0.0183 memory: 13431 grad_norm: 2.2619 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0709 loss: 3.0709 2022/08/14 01:36:05 - mmengine - INFO - Epoch(train) [43][2700/3757] lr: 9.3504e-02 eta: 3 days, 17:04:06 time: 0.4012 data_time: 0.0155 memory: 13431 grad_norm: 2.2819 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2242 loss: 3.2242 2022/08/14 01:36:45 - mmengine - INFO - Epoch(train) [43][2800/3757] lr: 9.3504e-02 eta: 3 days, 17:03:26 time: 0.4073 data_time: 0.0140 memory: 13431 grad_norm: 2.3446 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.9561 loss: 2.9561 2022/08/14 01:37:26 - mmengine - INFO - Epoch(train) [43][2900/3757] lr: 9.3504e-02 eta: 3 days, 17:02:47 time: 0.3973 data_time: 0.0134 memory: 13431 grad_norm: 2.3133 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8920 loss: 2.8920 2022/08/14 01:38:06 - mmengine - INFO - Epoch(train) [43][3000/3757] lr: 9.3504e-02 eta: 3 days, 17:02:10 time: 0.3971 data_time: 0.0136 memory: 13431 grad_norm: 2.2772 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.9115 loss: 2.9115 2022/08/14 01:38:47 - mmengine - INFO - Epoch(train) [43][3100/3757] lr: 9.3504e-02 eta: 3 days, 17:01:31 time: 0.3966 data_time: 0.0139 memory: 13431 grad_norm: 2.3223 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0064 loss: 3.0064 2022/08/14 01:39:27 - mmengine - INFO - Epoch(train) [43][3200/3757] lr: 9.3504e-02 eta: 3 days, 17:00:52 time: 0.3986 data_time: 0.0145 memory: 13431 grad_norm: 2.3460 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6399 loss: 2.6399 2022/08/14 01:39:29 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 01:40:07 - mmengine - INFO - Epoch(train) [43][3300/3757] lr: 9.3504e-02 eta: 3 days, 17:00:13 time: 0.3973 data_time: 0.0133 memory: 13431 grad_norm: 2.3637 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9160 loss: 2.9160 2022/08/14 01:40:47 - mmengine - INFO - Epoch(train) [43][3400/3757] lr: 9.3504e-02 eta: 3 days, 16:59:32 time: 0.3980 data_time: 0.0145 memory: 13431 grad_norm: 2.3264 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7970 loss: 2.7970 2022/08/14 01:41:27 - mmengine - INFO - Epoch(train) [43][3500/3757] lr: 9.3504e-02 eta: 3 days, 16:58:52 time: 0.3972 data_time: 0.0146 memory: 13431 grad_norm: 2.2686 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9893 loss: 2.9893 2022/08/14 01:42:08 - mmengine - INFO - Epoch(train) [43][3600/3757] lr: 9.3504e-02 eta: 3 days, 16:58:15 time: 0.3958 data_time: 0.0146 memory: 13431 grad_norm: 2.2874 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3310 loss: 3.3310 2022/08/14 01:42:48 - mmengine - INFO - Epoch(train) [43][3700/3757] lr: 9.3504e-02 eta: 3 days, 16:57:35 time: 0.3975 data_time: 0.0142 memory: 13431 grad_norm: 2.3303 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0726 loss: 3.0726 2022/08/14 01:43:11 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 01:43:11 - mmengine - INFO - Epoch(train) [43][3757/3757] lr: 9.3504e-02 eta: 3 days, 16:57:20 time: 0.3859 data_time: 0.0146 memory: 13431 grad_norm: 2.2865 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 3.0844 loss: 3.0844 2022/08/14 01:43:53 - mmengine - INFO - Epoch(train) [44][100/3757] lr: 9.3199e-02 eta: 3 days, 16:56:10 time: 0.3975 data_time: 0.0159 memory: 13431 grad_norm: 2.3285 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.9186 loss: 2.9186 2022/08/14 01:44:33 - mmengine - INFO - Epoch(train) [44][200/3757] lr: 9.3199e-02 eta: 3 days, 16:55:30 time: 0.3992 data_time: 0.0143 memory: 13431 grad_norm: 2.2710 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.3286 loss: 3.3286 2022/08/14 01:45:13 - mmengine - INFO - Epoch(train) [44][300/3757] lr: 9.3199e-02 eta: 3 days, 16:54:50 time: 0.3977 data_time: 0.0139 memory: 13431 grad_norm: 2.3184 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0600 loss: 3.0600 2022/08/14 01:45:53 - mmengine - INFO - Epoch(train) [44][400/3757] lr: 9.3199e-02 eta: 3 days, 16:54:09 time: 0.3948 data_time: 0.0140 memory: 13431 grad_norm: 2.3370 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1354 loss: 3.1354 2022/08/14 01:46:13 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 01:46:34 - mmengine - INFO - Epoch(train) [44][500/3757] lr: 9.3199e-02 eta: 3 days, 16:53:31 time: 0.4064 data_time: 0.0150 memory: 13431 grad_norm: 2.3270 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0104 loss: 3.0104 2022/08/14 01:47:13 - mmengine - INFO - Epoch(train) [44][600/3757] lr: 9.3199e-02 eta: 3 days, 16:52:51 time: 0.4030 data_time: 0.0158 memory: 13431 grad_norm: 2.4128 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0111 loss: 3.0111 2022/08/14 01:47:54 - mmengine - INFO - Epoch(train) [44][700/3757] lr: 9.3199e-02 eta: 3 days, 16:52:11 time: 0.4042 data_time: 0.0151 memory: 13431 grad_norm: 2.2907 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9776 loss: 2.9776 2022/08/14 01:48:34 - mmengine - INFO - Epoch(train) [44][800/3757] lr: 9.3199e-02 eta: 3 days, 16:51:31 time: 0.4068 data_time: 0.0146 memory: 13431 grad_norm: 2.3329 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1838 loss: 3.1838 2022/08/14 01:49:14 - mmengine - INFO - Epoch(train) [44][900/3757] lr: 9.3199e-02 eta: 3 days, 16:50:51 time: 0.4008 data_time: 0.0147 memory: 13431 grad_norm: 2.2980 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4920 loss: 2.4920 2022/08/14 01:49:54 - mmengine - INFO - Epoch(train) [44][1000/3757] lr: 9.3199e-02 eta: 3 days, 16:50:11 time: 0.3975 data_time: 0.0141 memory: 13431 grad_norm: 2.2216 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0617 loss: 3.0617 2022/08/14 01:50:36 - mmengine - INFO - Epoch(train) [44][1100/3757] lr: 9.3199e-02 eta: 3 days, 16:49:40 time: 0.4018 data_time: 0.0153 memory: 13431 grad_norm: 2.3222 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 3.0113 loss: 3.0113 2022/08/14 01:51:16 - mmengine - INFO - Epoch(train) [44][1200/3757] lr: 9.3199e-02 eta: 3 days, 16:49:01 time: 0.3988 data_time: 0.0158 memory: 13431 grad_norm: 2.3801 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0001 loss: 3.0001 2022/08/14 01:51:56 - mmengine - INFO - Epoch(train) [44][1300/3757] lr: 9.3199e-02 eta: 3 days, 16:48:21 time: 0.3986 data_time: 0.0142 memory: 13431 grad_norm: 2.2818 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9622 loss: 2.9622 2022/08/14 01:52:36 - mmengine - INFO - Epoch(train) [44][1400/3757] lr: 9.3199e-02 eta: 3 days, 16:47:40 time: 0.3978 data_time: 0.0150 memory: 13431 grad_norm: 2.3696 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8480 loss: 2.8480 2022/08/14 01:52:56 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 01:53:16 - mmengine - INFO - Epoch(train) [44][1500/3757] lr: 9.3199e-02 eta: 3 days, 16:46:59 time: 0.3969 data_time: 0.0143 memory: 13431 grad_norm: 2.2615 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0351 loss: 3.0351 2022/08/14 01:53:56 - mmengine - INFO - Epoch(train) [44][1600/3757] lr: 9.3199e-02 eta: 3 days, 16:46:18 time: 0.3972 data_time: 0.0150 memory: 13431 grad_norm: 2.2948 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8344 loss: 2.8344 2022/08/14 01:54:36 - mmengine - INFO - Epoch(train) [44][1700/3757] lr: 9.3199e-02 eta: 3 days, 16:45:38 time: 0.4049 data_time: 0.0151 memory: 13431 grad_norm: 2.3085 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0537 loss: 3.0537 2022/08/14 01:55:16 - mmengine - INFO - Epoch(train) [44][1800/3757] lr: 9.3199e-02 eta: 3 days, 16:44:58 time: 0.4040 data_time: 0.0176 memory: 13431 grad_norm: 2.3179 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7567 loss: 2.7567 2022/08/14 01:55:56 - mmengine - INFO - Epoch(train) [44][1900/3757] lr: 9.3199e-02 eta: 3 days, 16:44:19 time: 0.4008 data_time: 0.0147 memory: 13431 grad_norm: 2.3525 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.6835 loss: 2.6835 2022/08/14 01:56:36 - mmengine - INFO - Epoch(train) [44][2000/3757] lr: 9.3199e-02 eta: 3 days, 16:43:39 time: 0.3996 data_time: 0.0149 memory: 13431 grad_norm: 2.2930 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1186 loss: 3.1186 2022/08/14 01:57:16 - mmengine - INFO - Epoch(train) [44][2100/3757] lr: 9.3199e-02 eta: 3 days, 16:42:59 time: 0.4031 data_time: 0.0154 memory: 13431 grad_norm: 2.3738 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0407 loss: 3.0407 2022/08/14 01:57:56 - mmengine - INFO - Epoch(train) [44][2200/3757] lr: 9.3199e-02 eta: 3 days, 16:42:19 time: 0.4037 data_time: 0.0155 memory: 13431 grad_norm: 2.2495 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.3334 loss: 3.3334 2022/08/14 01:58:36 - mmengine - INFO - Epoch(train) [44][2300/3757] lr: 9.3199e-02 eta: 3 days, 16:41:38 time: 0.4042 data_time: 0.0157 memory: 13431 grad_norm: 2.3476 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.7144 loss: 2.7144 2022/08/14 01:59:16 - mmengine - INFO - Epoch(train) [44][2400/3757] lr: 9.3199e-02 eta: 3 days, 16:40:57 time: 0.4015 data_time: 0.0149 memory: 13431 grad_norm: 2.2743 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0929 loss: 3.0929 2022/08/14 01:59:36 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 01:59:56 - mmengine - INFO - Epoch(train) [44][2500/3757] lr: 9.3199e-02 eta: 3 days, 16:40:17 time: 0.3983 data_time: 0.0152 memory: 13431 grad_norm: 2.2533 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8734 loss: 2.8734 2022/08/14 02:00:39 - mmengine - INFO - Epoch(train) [44][2600/3757] lr: 9.3199e-02 eta: 3 days, 16:39:50 time: 0.4010 data_time: 0.0150 memory: 13431 grad_norm: 2.4355 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.7579 loss: 2.7579 2022/08/14 02:01:19 - mmengine - INFO - Epoch(train) [44][2700/3757] lr: 9.3199e-02 eta: 3 days, 16:39:11 time: 0.3990 data_time: 0.0140 memory: 13431 grad_norm: 2.2651 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2227 loss: 3.2227 2022/08/14 02:01:59 - mmengine - INFO - Epoch(train) [44][2800/3757] lr: 9.3199e-02 eta: 3 days, 16:38:32 time: 0.4101 data_time: 0.0157 memory: 13431 grad_norm: 2.2236 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9491 loss: 2.9491 2022/08/14 02:02:40 - mmengine - INFO - Epoch(train) [44][2900/3757] lr: 9.3199e-02 eta: 3 days, 16:37:54 time: 0.4029 data_time: 0.0157 memory: 13431 grad_norm: 2.3261 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0945 loss: 3.0945 2022/08/14 02:03:20 - mmengine - INFO - Epoch(train) [44][3000/3757] lr: 9.3199e-02 eta: 3 days, 16:37:14 time: 0.4037 data_time: 0.0156 memory: 13431 grad_norm: 2.4126 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9039 loss: 2.9039 2022/08/14 02:04:00 - mmengine - INFO - Epoch(train) [44][3100/3757] lr: 9.3199e-02 eta: 3 days, 16:36:34 time: 0.3978 data_time: 0.0142 memory: 13431 grad_norm: 2.3341 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0442 loss: 3.0442 2022/08/14 02:04:40 - mmengine - INFO - Epoch(train) [44][3200/3757] lr: 9.3199e-02 eta: 3 days, 16:35:54 time: 0.3991 data_time: 0.0148 memory: 13431 grad_norm: 2.3556 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2618 loss: 3.2618 2022/08/14 02:05:20 - mmengine - INFO - Epoch(train) [44][3300/3757] lr: 9.3199e-02 eta: 3 days, 16:35:14 time: 0.3967 data_time: 0.0141 memory: 13431 grad_norm: 2.3659 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0394 loss: 3.0394 2022/08/14 02:06:00 - mmengine - INFO - Epoch(train) [44][3400/3757] lr: 9.3199e-02 eta: 3 days, 16:34:34 time: 0.3980 data_time: 0.0141 memory: 13431 grad_norm: 2.3139 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9802 loss: 2.9802 2022/08/14 02:06:20 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 02:06:41 - mmengine - INFO - Epoch(train) [44][3500/3757] lr: 9.3199e-02 eta: 3 days, 16:33:55 time: 0.4043 data_time: 0.0165 memory: 13431 grad_norm: 2.2394 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5226 loss: 2.5226 2022/08/14 02:07:21 - mmengine - INFO - Epoch(train) [44][3600/3757] lr: 9.3199e-02 eta: 3 days, 16:33:14 time: 0.3970 data_time: 0.0153 memory: 13431 grad_norm: 2.3425 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9682 loss: 2.9682 2022/08/14 02:08:01 - mmengine - INFO - Epoch(train) [44][3700/3757] lr: 9.3199e-02 eta: 3 days, 16:32:33 time: 0.4013 data_time: 0.0145 memory: 13431 grad_norm: 2.2447 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1228 loss: 3.1228 2022/08/14 02:08:23 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 02:08:23 - mmengine - INFO - Epoch(train) [44][3757/3757] lr: 9.3199e-02 eta: 3 days, 16:32:17 time: 0.3840 data_time: 0.0138 memory: 13431 grad_norm: 2.3132 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 2.9821 loss: 2.9821 2022/08/14 02:08:23 - mmengine - INFO - Saving checkpoint at 44 epochs 2022/08/14 02:09:09 - mmengine - INFO - Epoch(train) [45][100/3757] lr: 9.2886e-02 eta: 3 days, 16:31:02 time: 0.4029 data_time: 0.0154 memory: 13431 grad_norm: 2.3458 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9259 loss: 2.9259 2022/08/14 02:09:49 - mmengine - INFO - Epoch(train) [45][200/3757] lr: 9.2886e-02 eta: 3 days, 16:30:22 time: 0.4089 data_time: 0.0154 memory: 13431 grad_norm: 2.2744 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9766 loss: 2.9766 2022/08/14 02:10:30 - mmengine - INFO - Epoch(train) [45][300/3757] lr: 9.2886e-02 eta: 3 days, 16:29:46 time: 0.4076 data_time: 0.0156 memory: 13431 grad_norm: 2.3422 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5827 loss: 3.5827 2022/08/14 02:11:10 - mmengine - INFO - Epoch(train) [45][400/3757] lr: 9.2886e-02 eta: 3 days, 16:29:08 time: 0.4121 data_time: 0.0160 memory: 13431 grad_norm: 2.3152 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0208 loss: 3.0208 2022/08/14 02:11:50 - mmengine - INFO - Epoch(train) [45][500/3757] lr: 9.2886e-02 eta: 3 days, 16:28:28 time: 0.4053 data_time: 0.0153 memory: 13431 grad_norm: 2.3436 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0985 loss: 3.0985 2022/08/14 02:12:31 - mmengine - INFO - Epoch(train) [45][600/3757] lr: 9.2886e-02 eta: 3 days, 16:27:48 time: 0.3979 data_time: 0.0147 memory: 13431 grad_norm: 2.3238 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2663 loss: 3.2663 2022/08/14 02:13:07 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 02:13:11 - mmengine - INFO - Epoch(train) [45][700/3757] lr: 9.2886e-02 eta: 3 days, 16:27:08 time: 0.3998 data_time: 0.0155 memory: 13431 grad_norm: 2.2531 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7598 loss: 2.7598 2022/08/14 02:13:51 - mmengine - INFO - Epoch(train) [45][800/3757] lr: 9.2886e-02 eta: 3 days, 16:26:27 time: 0.3987 data_time: 0.0150 memory: 13431 grad_norm: 2.3420 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6730 loss: 2.6730 2022/08/14 02:14:31 - mmengine - INFO - Epoch(train) [45][900/3757] lr: 9.2886e-02 eta: 3 days, 16:25:47 time: 0.4068 data_time: 0.0143 memory: 13431 grad_norm: 2.2550 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0471 loss: 3.0471 2022/08/14 02:15:11 - mmengine - INFO - Epoch(train) [45][1000/3757] lr: 9.2886e-02 eta: 3 days, 16:25:10 time: 0.3996 data_time: 0.0153 memory: 13431 grad_norm: 2.3310 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1391 loss: 3.1391 2022/08/14 02:15:52 - mmengine - INFO - Epoch(train) [45][1100/3757] lr: 9.2886e-02 eta: 3 days, 16:24:32 time: 0.4132 data_time: 0.0180 memory: 13431 grad_norm: 2.3437 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.1000 loss: 3.1000 2022/08/14 02:16:32 - mmengine - INFO - Epoch(train) [45][1200/3757] lr: 9.2886e-02 eta: 3 days, 16:23:52 time: 0.4172 data_time: 0.0153 memory: 13431 grad_norm: 2.2960 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1159 loss: 3.1159 2022/08/14 02:17:13 - mmengine - INFO - Epoch(train) [45][1300/3757] lr: 9.2886e-02 eta: 3 days, 16:23:15 time: 0.4100 data_time: 0.0203 memory: 13431 grad_norm: 2.3219 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0331 loss: 3.0331 2022/08/14 02:17:52 - mmengine - INFO - Epoch(train) [45][1400/3757] lr: 9.2886e-02 eta: 3 days, 16:22:34 time: 0.3969 data_time: 0.0144 memory: 13431 grad_norm: 2.3030 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7535 loss: 2.7535 2022/08/14 02:18:33 - mmengine - INFO - Epoch(train) [45][1500/3757] lr: 9.2886e-02 eta: 3 days, 16:21:55 time: 0.3981 data_time: 0.0137 memory: 13431 grad_norm: 2.3265 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3575 loss: 3.3575 2022/08/14 02:19:14 - mmengine - INFO - Epoch(train) [45][1600/3757] lr: 9.2886e-02 eta: 3 days, 16:21:23 time: 0.4035 data_time: 0.0135 memory: 13431 grad_norm: 2.4343 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2242 loss: 3.2242 2022/08/14 02:19:51 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 02:19:55 - mmengine - INFO - Epoch(train) [45][1700/3757] lr: 9.2886e-02 eta: 3 days, 16:20:43 time: 0.3979 data_time: 0.0140 memory: 13431 grad_norm: 2.2872 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.9486 loss: 2.9486 2022/08/14 02:20:34 - mmengine - INFO - Epoch(train) [45][1800/3757] lr: 9.2886e-02 eta: 3 days, 16:20:02 time: 0.4001 data_time: 0.0154 memory: 13431 grad_norm: 2.3033 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0392 loss: 3.0392 2022/08/14 02:21:15 - mmengine - INFO - Epoch(train) [45][1900/3757] lr: 9.2886e-02 eta: 3 days, 16:19:23 time: 0.4073 data_time: 0.0137 memory: 13431 grad_norm: 2.3281 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9872 loss: 2.9872 2022/08/14 02:21:55 - mmengine - INFO - Epoch(train) [45][2000/3757] lr: 9.2886e-02 eta: 3 days, 16:18:42 time: 0.3985 data_time: 0.0137 memory: 13431 grad_norm: 2.2868 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1180 loss: 3.1180 2022/08/14 02:22:35 - mmengine - INFO - Epoch(train) [45][2100/3757] lr: 9.2886e-02 eta: 3 days, 16:18:02 time: 0.3958 data_time: 0.0138 memory: 13431 grad_norm: 2.3755 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9831 loss: 2.9831 2022/08/14 02:23:15 - mmengine - INFO - Epoch(train) [45][2200/3757] lr: 9.2886e-02 eta: 3 days, 16:17:22 time: 0.3972 data_time: 0.0144 memory: 13431 grad_norm: 2.3529 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8145 loss: 2.8145 2022/08/14 02:23:55 - mmengine - INFO - Epoch(train) [45][2300/3757] lr: 9.2886e-02 eta: 3 days, 16:16:42 time: 0.4024 data_time: 0.0141 memory: 13431 grad_norm: 2.3239 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1668 loss: 3.1668 2022/08/14 02:24:35 - mmengine - INFO - Epoch(train) [45][2400/3757] lr: 9.2886e-02 eta: 3 days, 16:16:03 time: 0.3969 data_time: 0.0131 memory: 13431 grad_norm: 2.3146 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0979 loss: 3.0979 2022/08/14 02:25:15 - mmengine - INFO - Epoch(train) [45][2500/3757] lr: 9.2886e-02 eta: 3 days, 16:15:23 time: 0.3959 data_time: 0.0132 memory: 13431 grad_norm: 2.3673 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.9999 loss: 2.9999 2022/08/14 02:25:55 - mmengine - INFO - Epoch(train) [45][2600/3757] lr: 9.2886e-02 eta: 3 days, 16:14:44 time: 0.4046 data_time: 0.0149 memory: 13431 grad_norm: 2.3068 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.4132 loss: 3.4132 2022/08/14 02:26:32 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 02:26:35 - mmengine - INFO - Epoch(train) [45][2700/3757] lr: 9.2886e-02 eta: 3 days, 16:14:04 time: 0.3950 data_time: 0.0140 memory: 13431 grad_norm: 2.3178 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9834 loss: 2.9834 2022/08/14 02:27:15 - mmengine - INFO - Epoch(train) [45][2800/3757] lr: 9.2886e-02 eta: 3 days, 16:13:24 time: 0.3978 data_time: 0.0153 memory: 13431 grad_norm: 2.2565 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.2714 loss: 3.2714 2022/08/14 02:27:55 - mmengine - INFO - Epoch(train) [45][2900/3757] lr: 9.2886e-02 eta: 3 days, 16:12:43 time: 0.3987 data_time: 0.0152 memory: 13431 grad_norm: 2.3689 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.0716 loss: 3.0716 2022/08/14 02:28:35 - mmengine - INFO - Epoch(train) [45][3000/3757] lr: 9.2886e-02 eta: 3 days, 16:12:02 time: 0.4047 data_time: 0.0147 memory: 13431 grad_norm: 2.3574 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0858 loss: 3.0858 2022/08/14 02:29:16 - mmengine - INFO - Epoch(train) [45][3100/3757] lr: 9.2886e-02 eta: 3 days, 16:11:23 time: 0.4021 data_time: 0.0160 memory: 13431 grad_norm: 2.3620 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7854 loss: 2.7854 2022/08/14 02:29:56 - mmengine - INFO - Epoch(train) [45][3200/3757] lr: 9.2886e-02 eta: 3 days, 16:10:43 time: 0.3980 data_time: 0.0158 memory: 13431 grad_norm: 2.3843 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0067 loss: 3.0067 2022/08/14 02:30:36 - mmengine - INFO - Epoch(train) [45][3300/3757] lr: 9.2886e-02 eta: 3 days, 16:10:03 time: 0.3955 data_time: 0.0134 memory: 13431 grad_norm: 2.3804 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0553 loss: 3.0553 2022/08/14 02:31:16 - mmengine - INFO - Epoch(train) [45][3400/3757] lr: 9.2886e-02 eta: 3 days, 16:09:22 time: 0.3977 data_time: 0.0141 memory: 13431 grad_norm: 2.3036 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.2357 loss: 3.2357 2022/08/14 02:31:56 - mmengine - INFO - Epoch(train) [45][3500/3757] lr: 9.2886e-02 eta: 3 days, 16:08:42 time: 0.4029 data_time: 0.0129 memory: 13431 grad_norm: 2.3008 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0678 loss: 3.0678 2022/08/14 02:32:36 - mmengine - INFO - Epoch(train) [45][3600/3757] lr: 9.2886e-02 eta: 3 days, 16:08:02 time: 0.3951 data_time: 0.0132 memory: 13431 grad_norm: 2.3519 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2363 loss: 3.2363 2022/08/14 02:33:13 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 02:33:16 - mmengine - INFO - Epoch(train) [45][3700/3757] lr: 9.2886e-02 eta: 3 days, 16:07:21 time: 0.3963 data_time: 0.0147 memory: 13431 grad_norm: 2.2273 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0708 loss: 3.0708 2022/08/14 02:33:39 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 02:33:39 - mmengine - INFO - Epoch(train) [45][3757/3757] lr: 9.2886e-02 eta: 3 days, 16:07:07 time: 0.3855 data_time: 0.0140 memory: 13431 grad_norm: 2.3298 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 3.1137 loss: 3.1137 2022/08/14 02:34:01 - mmengine - INFO - Epoch(val) [45][100/310] eta: 0:00:44 time: 0.2106 data_time: 0.0848 memory: 1974 2022/08/14 02:34:23 - mmengine - INFO - Epoch(val) [45][200/310] eta: 0:00:21 time: 0.1939 data_time: 0.0646 memory: 1974 2022/08/14 02:34:43 - mmengine - INFO - Epoch(val) [45][300/310] eta: 0:00:02 time: 0.2032 data_time: 0.0742 memory: 1974 2022/08/14 02:34:49 - mmengine - INFO - Epoch(val) [45][310/310] acc/top1: 0.3820 acc/top5: 0.6594 acc/mean1: 0.3818 2022/08/14 02:35:31 - mmengine - INFO - Epoch(train) [46][100/3757] lr: 9.2568e-02 eta: 3 days, 16:05:57 time: 0.3976 data_time: 0.0151 memory: 13431 grad_norm: 2.2478 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3359 loss: 3.3359 2022/08/14 02:36:11 - mmengine - INFO - Epoch(train) [46][200/3757] lr: 9.2568e-02 eta: 3 days, 16:05:17 time: 0.4005 data_time: 0.0173 memory: 13431 grad_norm: 2.3020 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7585 loss: 2.7585 2022/08/14 02:36:51 - mmengine - INFO - Epoch(train) [46][300/3757] lr: 9.2568e-02 eta: 3 days, 16:04:36 time: 0.3982 data_time: 0.0140 memory: 13431 grad_norm: 2.3664 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8206 loss: 2.8206 2022/08/14 02:37:31 - mmengine - INFO - Epoch(train) [46][400/3757] lr: 9.2568e-02 eta: 3 days, 16:03:55 time: 0.4047 data_time: 0.0148 memory: 13431 grad_norm: 2.3251 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.9144 loss: 2.9144 2022/08/14 02:38:11 - mmengine - INFO - Epoch(train) [46][500/3757] lr: 9.2568e-02 eta: 3 days, 16:03:14 time: 0.4037 data_time: 0.0151 memory: 13431 grad_norm: 2.2806 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0234 loss: 3.0234 2022/08/14 02:38:51 - mmengine - INFO - Epoch(train) [46][600/3757] lr: 9.2568e-02 eta: 3 days, 16:02:35 time: 0.3989 data_time: 0.0149 memory: 13431 grad_norm: 2.3416 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1078 loss: 3.1078 2022/08/14 02:39:31 - mmengine - INFO - Epoch(train) [46][700/3757] lr: 9.2568e-02 eta: 3 days, 16:01:54 time: 0.3956 data_time: 0.0142 memory: 13431 grad_norm: 2.3599 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9395 loss: 2.9395 2022/08/14 02:40:11 - mmengine - INFO - Epoch(train) [46][800/3757] lr: 9.2568e-02 eta: 3 days, 16:01:14 time: 0.3956 data_time: 0.0136 memory: 13431 grad_norm: 2.3157 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1329 loss: 3.1329 2022/08/14 02:40:51 - mmengine - INFO - Epoch(train) [46][900/3757] lr: 9.2568e-02 eta: 3 days, 16:00:34 time: 0.3971 data_time: 0.0144 memory: 13431 grad_norm: 2.3196 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8325 loss: 2.8325 2022/08/14 02:41:05 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 02:41:31 - mmengine - INFO - Epoch(train) [46][1000/3757] lr: 9.2568e-02 eta: 3 days, 15:59:55 time: 0.4131 data_time: 0.0166 memory: 13431 grad_norm: 2.2804 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9898 loss: 2.9898 2022/08/14 02:42:11 - mmengine - INFO - Epoch(train) [46][1100/3757] lr: 9.2568e-02 eta: 3 days, 15:59:15 time: 0.4037 data_time: 0.0158 memory: 13431 grad_norm: 2.1779 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1304 loss: 3.1304 2022/08/14 02:42:51 - mmengine - INFO - Epoch(train) [46][1200/3757] lr: 9.2568e-02 eta: 3 days, 15:58:35 time: 0.3966 data_time: 0.0140 memory: 13431 grad_norm: 2.2574 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8955 loss: 2.8955 2022/08/14 02:43:32 - mmengine - INFO - Epoch(train) [46][1300/3757] lr: 9.2568e-02 eta: 3 days, 15:57:56 time: 0.4007 data_time: 0.0165 memory: 13431 grad_norm: 2.3415 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1877 loss: 3.1877 2022/08/14 02:44:12 - mmengine - INFO - Epoch(train) [46][1400/3757] lr: 9.2568e-02 eta: 3 days, 15:57:15 time: 0.3951 data_time: 0.0136 memory: 13431 grad_norm: 2.2859 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9977 loss: 2.9977 2022/08/14 02:44:52 - mmengine - INFO - Epoch(train) [46][1500/3757] lr: 9.2568e-02 eta: 3 days, 15:56:35 time: 0.3973 data_time: 0.0151 memory: 13431 grad_norm: 2.2911 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7945 loss: 2.7945 2022/08/14 02:45:32 - mmengine - INFO - Epoch(train) [46][1600/3757] lr: 9.2568e-02 eta: 3 days, 15:55:55 time: 0.4013 data_time: 0.0145 memory: 13431 grad_norm: 2.3516 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9908 loss: 2.9908 2022/08/14 02:46:12 - mmengine - INFO - Epoch(train) [46][1700/3757] lr: 9.2568e-02 eta: 3 days, 15:55:15 time: 0.4030 data_time: 0.0182 memory: 13431 grad_norm: 2.2914 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9971 loss: 2.9971 2022/08/14 02:46:52 - mmengine - INFO - Epoch(train) [46][1800/3757] lr: 9.2568e-02 eta: 3 days, 15:54:35 time: 0.3981 data_time: 0.0149 memory: 13431 grad_norm: 2.3152 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2159 loss: 3.2159 2022/08/14 02:47:32 - mmengine - INFO - Epoch(train) [46][1900/3757] lr: 9.2568e-02 eta: 3 days, 15:53:55 time: 0.3976 data_time: 0.0148 memory: 13431 grad_norm: 2.2754 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0593 loss: 3.0593 2022/08/14 02:47:46 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 02:48:13 - mmengine - INFO - Epoch(train) [46][2000/3757] lr: 9.2568e-02 eta: 3 days, 15:53:18 time: 0.4212 data_time: 0.0141 memory: 13431 grad_norm: 2.2917 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8028 loss: 2.8028 2022/08/14 02:48:53 - mmengine - INFO - Epoch(train) [46][2100/3757] lr: 9.2568e-02 eta: 3 days, 15:52:38 time: 0.3975 data_time: 0.0135 memory: 13431 grad_norm: 2.2459 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7326 loss: 2.7326 2022/08/14 02:49:33 - mmengine - INFO - Epoch(train) [46][2200/3757] lr: 9.2568e-02 eta: 3 days, 15:51:57 time: 0.3970 data_time: 0.0138 memory: 13431 grad_norm: 2.2472 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9866 loss: 2.9866 2022/08/14 02:50:13 - mmengine - INFO - Epoch(train) [46][2300/3757] lr: 9.2568e-02 eta: 3 days, 15:51:17 time: 0.3975 data_time: 0.0145 memory: 13431 grad_norm: 2.2815 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.2057 loss: 3.2057 2022/08/14 02:50:53 - mmengine - INFO - Epoch(train) [46][2400/3757] lr: 9.2568e-02 eta: 3 days, 15:50:37 time: 0.3962 data_time: 0.0161 memory: 13431 grad_norm: 2.2801 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.4750 loss: 3.4750 2022/08/14 02:51:33 - mmengine - INFO - Epoch(train) [46][2500/3757] lr: 9.2568e-02 eta: 3 days, 15:49:57 time: 0.3985 data_time: 0.0134 memory: 13431 grad_norm: 2.3321 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1944 loss: 3.1944 2022/08/14 02:52:13 - mmengine - INFO - Epoch(train) [46][2600/3757] lr: 9.2568e-02 eta: 3 days, 15:49:17 time: 0.4077 data_time: 0.0147 memory: 13431 grad_norm: 2.3371 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7371 loss: 2.7371 2022/08/14 02:52:53 - mmengine - INFO - Epoch(train) [46][2700/3757] lr: 9.2568e-02 eta: 3 days, 15:48:37 time: 0.3995 data_time: 0.0154 memory: 13431 grad_norm: 2.4291 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.0303 loss: 3.0303 2022/08/14 02:53:33 - mmengine - INFO - Epoch(train) [46][2800/3757] lr: 9.2568e-02 eta: 3 days, 15:47:57 time: 0.4004 data_time: 0.0160 memory: 13431 grad_norm: 2.3303 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1554 loss: 3.1554 2022/08/14 02:54:13 - mmengine - INFO - Epoch(train) [46][2900/3757] lr: 9.2568e-02 eta: 3 days, 15:47:16 time: 0.3981 data_time: 0.0144 memory: 13431 grad_norm: 2.3057 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8637 loss: 2.8637 2022/08/14 02:54:27 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 02:54:53 - mmengine - INFO - Epoch(train) [46][3000/3757] lr: 9.2568e-02 eta: 3 days, 15:46:36 time: 0.3980 data_time: 0.0153 memory: 13431 grad_norm: 2.3538 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0812 loss: 3.0812 2022/08/14 02:55:33 - mmengine - INFO - Epoch(train) [46][3100/3757] lr: 9.2568e-02 eta: 3 days, 15:45:55 time: 0.4007 data_time: 0.0197 memory: 13431 grad_norm: 2.2927 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8842 loss: 2.8842 2022/08/14 02:56:13 - mmengine - INFO - Epoch(train) [46][3200/3757] lr: 9.2568e-02 eta: 3 days, 15:45:14 time: 0.4003 data_time: 0.0151 memory: 13431 grad_norm: 2.3770 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3010 loss: 3.3010 2022/08/14 02:56:53 - mmengine - INFO - Epoch(train) [46][3300/3757] lr: 9.2568e-02 eta: 3 days, 15:44:33 time: 0.4019 data_time: 0.0156 memory: 13431 grad_norm: 2.3193 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0407 loss: 3.0407 2022/08/14 02:57:33 - mmengine - INFO - Epoch(train) [46][3400/3757] lr: 9.2568e-02 eta: 3 days, 15:43:54 time: 0.3952 data_time: 0.0143 memory: 13431 grad_norm: 2.2625 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9968 loss: 2.9968 2022/08/14 02:58:13 - mmengine - INFO - Epoch(train) [46][3500/3757] lr: 9.2568e-02 eta: 3 days, 15:43:14 time: 0.3982 data_time: 0.0133 memory: 13431 grad_norm: 2.2938 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8197 loss: 2.8197 2022/08/14 02:58:53 - mmengine - INFO - Epoch(train) [46][3600/3757] lr: 9.2568e-02 eta: 3 days, 15:42:34 time: 0.3984 data_time: 0.0142 memory: 13431 grad_norm: 2.3847 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2802 loss: 3.2802 2022/08/14 02:59:33 - mmengine - INFO - Epoch(train) [46][3700/3757] lr: 9.2568e-02 eta: 3 days, 15:41:53 time: 0.3986 data_time: 0.0148 memory: 13431 grad_norm: 2.2762 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1885 loss: 3.1885 2022/08/14 02:59:55 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 02:59:55 - mmengine - INFO - Epoch(train) [46][3757/3757] lr: 9.2568e-02 eta: 3 days, 15:41:37 time: 0.3836 data_time: 0.0133 memory: 13431 grad_norm: 2.3401 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 3.2651 loss: 3.2651 2022/08/14 03:00:37 - mmengine - INFO - Epoch(train) [47][100/3757] lr: 9.2243e-02 eta: 3 days, 15:40:28 time: 0.3948 data_time: 0.0146 memory: 13431 grad_norm: 2.3994 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8830 loss: 2.8830 2022/08/14 03:01:08 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 03:01:17 - mmengine - INFO - Epoch(train) [47][200/3757] lr: 9.2243e-02 eta: 3 days, 15:39:46 time: 0.3956 data_time: 0.0139 memory: 13431 grad_norm: 2.3778 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8481 loss: 2.8481 2022/08/14 03:01:57 - mmengine - INFO - Epoch(train) [47][300/3757] lr: 9.2243e-02 eta: 3 days, 15:39:06 time: 0.4053 data_time: 0.0150 memory: 13431 grad_norm: 2.2634 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9674 loss: 2.9674 2022/08/14 03:02:37 - mmengine - INFO - Epoch(train) [47][400/3757] lr: 9.2243e-02 eta: 3 days, 15:38:27 time: 0.3958 data_time: 0.0136 memory: 13431 grad_norm: 2.3117 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8989 loss: 2.8989 2022/08/14 03:03:17 - mmengine - INFO - Epoch(train) [47][500/3757] lr: 9.2243e-02 eta: 3 days, 15:37:46 time: 0.4019 data_time: 0.0138 memory: 13431 grad_norm: 2.2679 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8245 loss: 2.8245 2022/08/14 03:03:57 - mmengine - INFO - Epoch(train) [47][600/3757] lr: 9.2243e-02 eta: 3 days, 15:37:05 time: 0.4014 data_time: 0.0140 memory: 13431 grad_norm: 2.3190 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6234 loss: 2.6234 2022/08/14 03:04:37 - mmengine - INFO - Epoch(train) [47][700/3757] lr: 9.2243e-02 eta: 3 days, 15:36:24 time: 0.3959 data_time: 0.0138 memory: 13431 grad_norm: 2.2847 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0859 loss: 3.0859 2022/08/14 03:05:17 - mmengine - INFO - Epoch(train) [47][800/3757] lr: 9.2243e-02 eta: 3 days, 15:35:43 time: 0.3963 data_time: 0.0156 memory: 13431 grad_norm: 2.2818 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1838 loss: 3.1838 2022/08/14 03:05:57 - mmengine - INFO - Epoch(train) [47][900/3757] lr: 9.2243e-02 eta: 3 days, 15:35:02 time: 0.3957 data_time: 0.0140 memory: 13431 grad_norm: 2.3009 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9242 loss: 2.9242 2022/08/14 03:06:37 - mmengine - INFO - Epoch(train) [47][1000/3757] lr: 9.2243e-02 eta: 3 days, 15:34:22 time: 0.4056 data_time: 0.0141 memory: 13431 grad_norm: 2.3158 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9903 loss: 2.9903 2022/08/14 03:07:17 - mmengine - INFO - Epoch(train) [47][1100/3757] lr: 9.2243e-02 eta: 3 days, 15:33:43 time: 0.3972 data_time: 0.0142 memory: 13431 grad_norm: 2.3746 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3858 loss: 3.3858 2022/08/14 03:07:48 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 03:07:57 - mmengine - INFO - Epoch(train) [47][1200/3757] lr: 9.2243e-02 eta: 3 days, 15:33:02 time: 0.4019 data_time: 0.0132 memory: 13431 grad_norm: 2.4596 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1551 loss: 3.1551 2022/08/14 03:08:37 - mmengine - INFO - Epoch(train) [47][1300/3757] lr: 9.2243e-02 eta: 3 days, 15:32:22 time: 0.4039 data_time: 0.0136 memory: 13431 grad_norm: 2.3438 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2077 loss: 3.2077 2022/08/14 03:09:17 - mmengine - INFO - Epoch(train) [47][1400/3757] lr: 9.2243e-02 eta: 3 days, 15:31:41 time: 0.3999 data_time: 0.0148 memory: 13431 grad_norm: 2.3418 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9997 loss: 2.9997 2022/08/14 03:09:57 - mmengine - INFO - Epoch(train) [47][1500/3757] lr: 9.2243e-02 eta: 3 days, 15:31:00 time: 0.3957 data_time: 0.0145 memory: 13431 grad_norm: 2.3330 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2843 loss: 3.2843 2022/08/14 03:10:37 - mmengine - INFO - Epoch(train) [47][1600/3757] lr: 9.2243e-02 eta: 3 days, 15:30:20 time: 0.3987 data_time: 0.0150 memory: 13431 grad_norm: 2.2589 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0870 loss: 3.0870 2022/08/14 03:11:17 - mmengine - INFO - Epoch(train) [47][1700/3757] lr: 9.2243e-02 eta: 3 days, 15:29:41 time: 0.4152 data_time: 0.0147 memory: 13431 grad_norm: 2.3711 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3918 loss: 3.3918 2022/08/14 03:11:57 - mmengine - INFO - Epoch(train) [47][1800/3757] lr: 9.2243e-02 eta: 3 days, 15:29:01 time: 0.3954 data_time: 0.0147 memory: 13431 grad_norm: 2.3510 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7104 loss: 2.7104 2022/08/14 03:12:37 - mmengine - INFO - Epoch(train) [47][1900/3757] lr: 9.2243e-02 eta: 3 days, 15:28:21 time: 0.4019 data_time: 0.0145 memory: 13431 grad_norm: 2.3271 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0682 loss: 3.0682 2022/08/14 03:13:17 - mmengine - INFO - Epoch(train) [47][2000/3757] lr: 9.2243e-02 eta: 3 days, 15:27:41 time: 0.4015 data_time: 0.0142 memory: 13431 grad_norm: 2.3575 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0224 loss: 3.0224 2022/08/14 03:13:57 - mmengine - INFO - Epoch(train) [47][2100/3757] lr: 9.2243e-02 eta: 3 days, 15:26:59 time: 0.3961 data_time: 0.0136 memory: 13431 grad_norm: 2.2768 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.0237 loss: 3.0237 2022/08/14 03:14:28 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 03:14:37 - mmengine - INFO - Epoch(train) [47][2200/3757] lr: 9.2243e-02 eta: 3 days, 15:26:19 time: 0.3966 data_time: 0.0143 memory: 13431 grad_norm: 2.3994 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.2180 loss: 3.2180 2022/08/14 03:15:17 - mmengine - INFO - Epoch(train) [47][2300/3757] lr: 9.2243e-02 eta: 3 days, 15:25:38 time: 0.3954 data_time: 0.0146 memory: 13431 grad_norm: 2.3766 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9516 loss: 2.9516 2022/08/14 03:15:57 - mmengine - INFO - Epoch(train) [47][2400/3757] lr: 9.2243e-02 eta: 3 days, 15:24:58 time: 0.4015 data_time: 0.0142 memory: 13431 grad_norm: 2.3425 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0397 loss: 3.0397 2022/08/14 03:16:37 - mmengine - INFO - Epoch(train) [47][2500/3757] lr: 9.2243e-02 eta: 3 days, 15:24:18 time: 0.3993 data_time: 0.0136 memory: 13431 grad_norm: 2.3851 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9483 loss: 2.9483 2022/08/14 03:17:17 - mmengine - INFO - Epoch(train) [47][2600/3757] lr: 9.2243e-02 eta: 3 days, 15:23:38 time: 0.4032 data_time: 0.0152 memory: 13431 grad_norm: 2.3262 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1220 loss: 3.1220 2022/08/14 03:17:57 - mmengine - INFO - Epoch(train) [47][2700/3757] lr: 9.2243e-02 eta: 3 days, 15:22:58 time: 0.4048 data_time: 0.0151 memory: 13431 grad_norm: 2.3705 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8890 loss: 2.8890 2022/08/14 03:18:37 - mmengine - INFO - Epoch(train) [47][2800/3757] lr: 9.2243e-02 eta: 3 days, 15:22:17 time: 0.3973 data_time: 0.0142 memory: 13431 grad_norm: 2.3429 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7908 loss: 2.7908 2022/08/14 03:19:17 - mmengine - INFO - Epoch(train) [47][2900/3757] lr: 9.2243e-02 eta: 3 days, 15:21:36 time: 0.3983 data_time: 0.0141 memory: 13431 grad_norm: 2.3358 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5801 loss: 2.5801 2022/08/14 03:19:57 - mmengine - INFO - Epoch(train) [47][3000/3757] lr: 9.2243e-02 eta: 3 days, 15:20:55 time: 0.3979 data_time: 0.0151 memory: 13431 grad_norm: 2.2982 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1250 loss: 3.1250 2022/08/14 03:20:37 - mmengine - INFO - Epoch(train) [47][3100/3757] lr: 9.2243e-02 eta: 3 days, 15:20:15 time: 0.3998 data_time: 0.0135 memory: 13431 grad_norm: 2.4130 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8540 loss: 2.8540 2022/08/14 03:21:08 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 03:21:17 - mmengine - INFO - Epoch(train) [47][3200/3757] lr: 9.2243e-02 eta: 3 days, 15:19:36 time: 0.4056 data_time: 0.0146 memory: 13431 grad_norm: 2.3919 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0163 loss: 3.0163 2022/08/14 03:21:57 - mmengine - INFO - Epoch(train) [47][3300/3757] lr: 9.2243e-02 eta: 3 days, 15:18:56 time: 0.4046 data_time: 0.0148 memory: 13431 grad_norm: 2.4051 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9606 loss: 2.9606 2022/08/14 03:22:37 - mmengine - INFO - Epoch(train) [47][3400/3757] lr: 9.2243e-02 eta: 3 days, 15:18:15 time: 0.4034 data_time: 0.0141 memory: 13431 grad_norm: 2.3008 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.0610 loss: 3.0610 2022/08/14 03:23:17 - mmengine - INFO - Epoch(train) [47][3500/3757] lr: 9.2243e-02 eta: 3 days, 15:17:35 time: 0.4017 data_time: 0.0141 memory: 13431 grad_norm: 2.2692 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8290 loss: 2.8290 2022/08/14 03:23:57 - mmengine - INFO - Epoch(train) [47][3600/3757] lr: 9.2243e-02 eta: 3 days, 15:16:54 time: 0.4008 data_time: 0.0154 memory: 13431 grad_norm: 2.2429 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6678 loss: 2.6678 2022/08/14 03:24:37 - mmengine - INFO - Epoch(train) [47][3700/3757] lr: 9.2243e-02 eta: 3 days, 15:16:13 time: 0.3994 data_time: 0.0162 memory: 13431 grad_norm: 2.3916 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0712 loss: 3.0712 2022/08/14 03:24:59 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 03:24:59 - mmengine - INFO - Epoch(train) [47][3757/3757] lr: 9.2243e-02 eta: 3 days, 15:15:57 time: 0.3848 data_time: 0.0135 memory: 13431 grad_norm: 2.3049 top1_acc: 0.2857 top5_acc: 0.2857 loss_cls: 3.2081 loss: 3.2081 2022/08/14 03:25:42 - mmengine - INFO - Epoch(train) [48][100/3757] lr: 9.1911e-02 eta: 3 days, 15:14:50 time: 0.4096 data_time: 0.0146 memory: 13431 grad_norm: 2.3696 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.9954 loss: 2.9954 2022/08/14 03:26:22 - mmengine - INFO - Epoch(train) [48][200/3757] lr: 9.1911e-02 eta: 3 days, 15:14:10 time: 0.3979 data_time: 0.0140 memory: 13431 grad_norm: 2.2978 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0024 loss: 3.0024 2022/08/14 03:27:02 - mmengine - INFO - Epoch(train) [48][300/3757] lr: 9.1911e-02 eta: 3 days, 15:13:29 time: 0.3967 data_time: 0.0147 memory: 13431 grad_norm: 2.2376 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5963 loss: 2.5963 2022/08/14 03:27:42 - mmengine - INFO - Epoch(train) [48][400/3757] lr: 9.1911e-02 eta: 3 days, 15:12:49 time: 0.3981 data_time: 0.0146 memory: 13431 grad_norm: 2.2824 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.1562 loss: 3.1562 2022/08/14 03:27:50 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 03:28:21 - mmengine - INFO - Epoch(train) [48][500/3757] lr: 9.1911e-02 eta: 3 days, 15:12:08 time: 0.3967 data_time: 0.0137 memory: 13431 grad_norm: 2.2685 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0687 loss: 3.0687 2022/08/14 03:29:01 - mmengine - INFO - Epoch(train) [48][600/3757] lr: 9.1911e-02 eta: 3 days, 15:11:26 time: 0.3953 data_time: 0.0132 memory: 13431 grad_norm: 2.2922 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6673 loss: 2.6673 2022/08/14 03:29:41 - mmengine - INFO - Epoch(train) [48][700/3757] lr: 9.1911e-02 eta: 3 days, 15:10:46 time: 0.3963 data_time: 0.0140 memory: 13431 grad_norm: 2.3593 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8573 loss: 2.8573 2022/08/14 03:30:22 - mmengine - INFO - Epoch(train) [48][800/3757] lr: 9.1911e-02 eta: 3 days, 15:10:07 time: 0.4067 data_time: 0.0138 memory: 13431 grad_norm: 2.3127 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0374 loss: 3.0374 2022/08/14 03:31:02 - mmengine - INFO - Epoch(train) [48][900/3757] lr: 9.1911e-02 eta: 3 days, 15:09:27 time: 0.4030 data_time: 0.0137 memory: 13431 grad_norm: 2.2906 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0785 loss: 3.0785 2022/08/14 03:31:42 - mmengine - INFO - Epoch(train) [48][1000/3757] lr: 9.1911e-02 eta: 3 days, 15:08:47 time: 0.3967 data_time: 0.0145 memory: 13431 grad_norm: 2.3121 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0298 loss: 3.0298 2022/08/14 03:32:22 - mmengine - INFO - Epoch(train) [48][1100/3757] lr: 9.1911e-02 eta: 3 days, 15:08:07 time: 0.3964 data_time: 0.0137 memory: 13431 grad_norm: 2.2410 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0220 loss: 3.0220 2022/08/14 03:33:01 - mmengine - INFO - Epoch(train) [48][1200/3757] lr: 9.1911e-02 eta: 3 days, 15:07:26 time: 0.3970 data_time: 0.0143 memory: 13431 grad_norm: 2.4183 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9433 loss: 2.9433 2022/08/14 03:33:41 - mmengine - INFO - Epoch(train) [48][1300/3757] lr: 9.1911e-02 eta: 3 days, 15:06:45 time: 0.3952 data_time: 0.0148 memory: 13431 grad_norm: 2.2856 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1880 loss: 3.1880 2022/08/14 03:34:21 - mmengine - INFO - Epoch(train) [48][1400/3757] lr: 9.1911e-02 eta: 3 days, 15:06:04 time: 0.3959 data_time: 0.0133 memory: 13431 grad_norm: 2.3585 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1401 loss: 3.1401 2022/08/14 03:34:30 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 03:35:02 - mmengine - INFO - Epoch(train) [48][1500/3757] lr: 9.1911e-02 eta: 3 days, 15:05:25 time: 0.4004 data_time: 0.0140 memory: 13431 grad_norm: 2.3266 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7462 loss: 2.7462 2022/08/14 03:35:41 - mmengine - INFO - Epoch(train) [48][1600/3757] lr: 9.1911e-02 eta: 3 days, 15:04:44 time: 0.3959 data_time: 0.0146 memory: 13431 grad_norm: 2.4154 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9991 loss: 2.9991 2022/08/14 03:36:21 - mmengine - INFO - Epoch(train) [48][1700/3757] lr: 9.1911e-02 eta: 3 days, 15:04:03 time: 0.3966 data_time: 0.0136 memory: 13431 grad_norm: 2.3041 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1690 loss: 3.1690 2022/08/14 03:37:01 - mmengine - INFO - Epoch(train) [48][1800/3757] lr: 9.1911e-02 eta: 3 days, 15:03:23 time: 0.3972 data_time: 0.0139 memory: 13431 grad_norm: 2.3376 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0777 loss: 3.0777 2022/08/14 03:37:41 - mmengine - INFO - Epoch(train) [48][1900/3757] lr: 9.1911e-02 eta: 3 days, 15:02:42 time: 0.3957 data_time: 0.0139 memory: 13431 grad_norm: 2.3028 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0702 loss: 3.0702 2022/08/14 03:38:21 - mmengine - INFO - Epoch(train) [48][2000/3757] lr: 9.1911e-02 eta: 3 days, 15:02:02 time: 0.3955 data_time: 0.0140 memory: 13431 grad_norm: 2.3702 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0851 loss: 3.0851 2022/08/14 03:39:01 - mmengine - INFO - Epoch(train) [48][2100/3757] lr: 9.1911e-02 eta: 3 days, 15:01:22 time: 0.3970 data_time: 0.0140 memory: 13431 grad_norm: 2.2780 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.0390 loss: 3.0390 2022/08/14 03:39:42 - mmengine - INFO - Epoch(train) [48][2200/3757] lr: 9.1911e-02 eta: 3 days, 15:00:44 time: 0.4020 data_time: 0.0141 memory: 13431 grad_norm: 2.3127 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6420 loss: 2.6420 2022/08/14 03:40:22 - mmengine - INFO - Epoch(train) [48][2300/3757] lr: 9.1911e-02 eta: 3 days, 15:00:03 time: 0.3980 data_time: 0.0136 memory: 13431 grad_norm: 2.3302 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9310 loss: 2.9310 2022/08/14 03:41:02 - mmengine - INFO - Epoch(train) [48][2400/3757] lr: 9.1911e-02 eta: 3 days, 14:59:23 time: 0.3983 data_time: 0.0145 memory: 13431 grad_norm: 2.2595 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9091 loss: 2.9091 2022/08/14 03:41:10 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 03:41:42 - mmengine - INFO - Epoch(train) [48][2500/3757] lr: 9.1911e-02 eta: 3 days, 14:58:44 time: 0.3972 data_time: 0.0136 memory: 13431 grad_norm: 2.3320 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7870 loss: 2.7870 2022/08/14 03:42:22 - mmengine - INFO - Epoch(train) [48][2600/3757] lr: 9.1911e-02 eta: 3 days, 14:58:02 time: 0.3957 data_time: 0.0140 memory: 13431 grad_norm: 2.2784 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.4185 loss: 3.4185 2022/08/14 03:43:02 - mmengine - INFO - Epoch(train) [48][2700/3757] lr: 9.1911e-02 eta: 3 days, 14:57:22 time: 0.3970 data_time: 0.0144 memory: 13431 grad_norm: 2.2865 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9897 loss: 2.9897 2022/08/14 03:43:42 - mmengine - INFO - Epoch(train) [48][2800/3757] lr: 9.1911e-02 eta: 3 days, 14:56:41 time: 0.3956 data_time: 0.0137 memory: 13431 grad_norm: 2.3883 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0216 loss: 3.0216 2022/08/14 03:44:22 - mmengine - INFO - Epoch(train) [48][2900/3757] lr: 9.1911e-02 eta: 3 days, 14:56:03 time: 0.4028 data_time: 0.0147 memory: 13431 grad_norm: 2.2627 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8048 loss: 2.8048 2022/08/14 03:45:02 - mmengine - INFO - Epoch(train) [48][3000/3757] lr: 9.1911e-02 eta: 3 days, 14:55:22 time: 0.3963 data_time: 0.0148 memory: 13431 grad_norm: 2.2791 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2097 loss: 3.2097 2022/08/14 03:45:42 - mmengine - INFO - Epoch(train) [48][3100/3757] lr: 9.1911e-02 eta: 3 days, 14:54:43 time: 0.3957 data_time: 0.0147 memory: 13431 grad_norm: 2.3409 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0270 loss: 3.0270 2022/08/14 03:46:22 - mmengine - INFO - Epoch(train) [48][3200/3757] lr: 9.1911e-02 eta: 3 days, 14:54:03 time: 0.3999 data_time: 0.0153 memory: 13431 grad_norm: 2.3410 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9170 loss: 2.9170 2022/08/14 03:47:02 - mmengine - INFO - Epoch(train) [48][3300/3757] lr: 9.1911e-02 eta: 3 days, 14:53:23 time: 0.3973 data_time: 0.0136 memory: 13431 grad_norm: 2.2939 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6515 loss: 2.6515 2022/08/14 03:47:42 - mmengine - INFO - Epoch(train) [48][3400/3757] lr: 9.1911e-02 eta: 3 days, 14:52:42 time: 0.3970 data_time: 0.0151 memory: 13431 grad_norm: 2.3322 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.0543 loss: 3.0543 2022/08/14 03:47:51 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 03:48:22 - mmengine - INFO - Epoch(train) [48][3500/3757] lr: 9.1911e-02 eta: 3 days, 14:52:01 time: 0.3977 data_time: 0.0137 memory: 13431 grad_norm: 2.3235 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1130 loss: 3.1130 2022/08/14 03:49:02 - mmengine - INFO - Epoch(train) [48][3600/3757] lr: 9.1911e-02 eta: 3 days, 14:51:23 time: 0.4019 data_time: 0.0137 memory: 13431 grad_norm: 2.3078 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9155 loss: 2.9155 2022/08/14 03:49:42 - mmengine - INFO - Epoch(train) [48][3700/3757] lr: 9.1911e-02 eta: 3 days, 14:50:42 time: 0.3965 data_time: 0.0134 memory: 13431 grad_norm: 2.3341 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9716 loss: 2.9716 2022/08/14 03:50:05 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 03:50:05 - mmengine - INFO - Epoch(train) [48][3757/3757] lr: 9.1911e-02 eta: 3 days, 14:50:27 time: 0.3850 data_time: 0.0140 memory: 13431 grad_norm: 2.3024 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 2.7478 loss: 2.7478 2022/08/14 03:50:05 - mmengine - INFO - Saving checkpoint at 48 epochs 2022/08/14 03:50:51 - mmengine - INFO - Epoch(train) [49][100/3757] lr: 9.1573e-02 eta: 3 days, 14:49:15 time: 0.3963 data_time: 0.0136 memory: 13431 grad_norm: 2.2639 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9744 loss: 2.9744 2022/08/14 03:51:31 - mmengine - INFO - Epoch(train) [49][200/3757] lr: 9.1573e-02 eta: 3 days, 14:48:34 time: 0.3983 data_time: 0.0140 memory: 13431 grad_norm: 2.3510 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8959 loss: 2.8959 2022/08/14 03:52:11 - mmengine - INFO - Epoch(train) [49][300/3757] lr: 9.1573e-02 eta: 3 days, 14:47:54 time: 0.4022 data_time: 0.0137 memory: 13431 grad_norm: 2.3617 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9054 loss: 2.9054 2022/08/14 03:52:51 - mmengine - INFO - Epoch(train) [49][400/3757] lr: 9.1573e-02 eta: 3 days, 14:47:13 time: 0.3996 data_time: 0.0148 memory: 13431 grad_norm: 2.3726 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.8441 loss: 2.8441 2022/08/14 03:53:31 - mmengine - INFO - Epoch(train) [49][500/3757] lr: 9.1573e-02 eta: 3 days, 14:46:33 time: 0.3989 data_time: 0.0170 memory: 13431 grad_norm: 2.3612 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9255 loss: 2.9255 2022/08/14 03:54:11 - mmengine - INFO - Epoch(train) [49][600/3757] lr: 9.1573e-02 eta: 3 days, 14:45:54 time: 0.3955 data_time: 0.0154 memory: 13431 grad_norm: 2.3188 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.9294 loss: 2.9294 2022/08/14 03:54:36 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 03:54:51 - mmengine - INFO - Epoch(train) [49][700/3757] lr: 9.1573e-02 eta: 3 days, 14:45:13 time: 0.3964 data_time: 0.0145 memory: 13431 grad_norm: 2.4297 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8728 loss: 2.8728 2022/08/14 03:55:31 - mmengine - INFO - Epoch(train) [49][800/3757] lr: 9.1573e-02 eta: 3 days, 14:44:33 time: 0.3980 data_time: 0.0143 memory: 13431 grad_norm: 2.3382 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 2.9472 loss: 2.9472 2022/08/14 03:56:11 - mmengine - INFO - Epoch(train) [49][900/3757] lr: 9.1573e-02 eta: 3 days, 14:43:52 time: 0.3973 data_time: 0.0142 memory: 13431 grad_norm: 2.4118 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1766 loss: 3.1766 2022/08/14 03:56:51 - mmengine - INFO - Epoch(train) [49][1000/3757] lr: 9.1573e-02 eta: 3 days, 14:43:11 time: 0.3980 data_time: 0.0142 memory: 13431 grad_norm: 2.3445 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6532 loss: 2.6532 2022/08/14 03:57:30 - mmengine - INFO - Epoch(train) [49][1100/3757] lr: 9.1573e-02 eta: 3 days, 14:42:31 time: 0.3971 data_time: 0.0142 memory: 13431 grad_norm: 2.2830 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.9652 loss: 2.9652 2022/08/14 03:58:11 - mmengine - INFO - Epoch(train) [49][1200/3757] lr: 9.1573e-02 eta: 3 days, 14:41:51 time: 0.3988 data_time: 0.0148 memory: 13431 grad_norm: 2.2901 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.3337 loss: 3.3337 2022/08/14 03:58:51 - mmengine - INFO - Epoch(train) [49][1300/3757] lr: 9.1573e-02 eta: 3 days, 14:41:12 time: 0.3997 data_time: 0.0136 memory: 13431 grad_norm: 2.3236 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8866 loss: 2.8866 2022/08/14 03:59:31 - mmengine - INFO - Epoch(train) [49][1400/3757] lr: 9.1573e-02 eta: 3 days, 14:40:32 time: 0.3970 data_time: 0.0136 memory: 13431 grad_norm: 2.4685 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1352 loss: 3.1352 2022/08/14 04:00:11 - mmengine - INFO - Epoch(train) [49][1500/3757] lr: 9.1573e-02 eta: 3 days, 14:39:53 time: 0.3967 data_time: 0.0148 memory: 13431 grad_norm: 2.3315 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0384 loss: 3.0384 2022/08/14 04:00:51 - mmengine - INFO - Epoch(train) [49][1600/3757] lr: 9.1573e-02 eta: 3 days, 14:39:13 time: 0.3960 data_time: 0.0135 memory: 13431 grad_norm: 2.3316 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7312 loss: 2.7312 2022/08/14 04:01:17 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 04:01:31 - mmengine - INFO - Epoch(train) [49][1700/3757] lr: 9.1573e-02 eta: 3 days, 14:38:33 time: 0.3973 data_time: 0.0141 memory: 13431 grad_norm: 2.4153 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6107 loss: 2.6107 2022/08/14 04:02:11 - mmengine - INFO - Epoch(train) [49][1800/3757] lr: 9.1573e-02 eta: 3 days, 14:37:52 time: 0.3979 data_time: 0.0144 memory: 13431 grad_norm: 2.2815 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3153 loss: 3.3153 2022/08/14 04:02:51 - mmengine - INFO - Epoch(train) [49][1900/3757] lr: 9.1573e-02 eta: 3 days, 14:37:12 time: 0.3967 data_time: 0.0150 memory: 13431 grad_norm: 2.3020 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2439 loss: 3.2439 2022/08/14 04:03:32 - mmengine - INFO - Epoch(train) [49][2000/3757] lr: 9.1573e-02 eta: 3 days, 14:36:33 time: 0.3969 data_time: 0.0132 memory: 13431 grad_norm: 2.3643 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.0826 loss: 3.0826 2022/08/14 04:04:12 - mmengine - INFO - Epoch(train) [49][2100/3757] lr: 9.1573e-02 eta: 3 days, 14:35:53 time: 0.3983 data_time: 0.0135 memory: 13431 grad_norm: 2.2436 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1400 loss: 3.1400 2022/08/14 04:04:52 - mmengine - INFO - Epoch(train) [49][2200/3757] lr: 9.1573e-02 eta: 3 days, 14:35:14 time: 0.3978 data_time: 0.0151 memory: 13431 grad_norm: 2.2472 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8740 loss: 2.8740 2022/08/14 04:05:32 - mmengine - INFO - Epoch(train) [49][2300/3757] lr: 9.1573e-02 eta: 3 days, 14:34:33 time: 0.3961 data_time: 0.0146 memory: 13431 grad_norm: 2.2242 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1818 loss: 3.1818 2022/08/14 04:06:12 - mmengine - INFO - Epoch(train) [49][2400/3757] lr: 9.1573e-02 eta: 3 days, 14:33:52 time: 0.3966 data_time: 0.0140 memory: 13431 grad_norm: 2.3503 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8682 loss: 2.8682 2022/08/14 04:06:51 - mmengine - INFO - Epoch(train) [49][2500/3757] lr: 9.1573e-02 eta: 3 days, 14:33:11 time: 0.3972 data_time: 0.0144 memory: 13431 grad_norm: 2.3560 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0872 loss: 3.0872 2022/08/14 04:07:32 - mmengine - INFO - Epoch(train) [49][2600/3757] lr: 9.1573e-02 eta: 3 days, 14:32:32 time: 0.3981 data_time: 0.0152 memory: 13431 grad_norm: 2.3663 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2579 loss: 3.2579 2022/08/14 04:07:57 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 04:08:12 - mmengine - INFO - Epoch(train) [49][2700/3757] lr: 9.1573e-02 eta: 3 days, 14:31:53 time: 0.4073 data_time: 0.0151 memory: 13431 grad_norm: 2.3604 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.3144 loss: 3.3144 2022/08/14 04:08:52 - mmengine - INFO - Epoch(train) [49][2800/3757] lr: 9.1573e-02 eta: 3 days, 14:31:12 time: 0.3975 data_time: 0.0138 memory: 13431 grad_norm: 2.3832 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0849 loss: 3.0849 2022/08/14 04:09:32 - mmengine - INFO - Epoch(train) [49][2900/3757] lr: 9.1573e-02 eta: 3 days, 14:30:32 time: 0.3966 data_time: 0.0146 memory: 13431 grad_norm: 2.2953 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0440 loss: 3.0440 2022/08/14 04:10:12 - mmengine - INFO - Epoch(train) [49][3000/3757] lr: 9.1573e-02 eta: 3 days, 14:29:51 time: 0.3974 data_time: 0.0146 memory: 13431 grad_norm: 2.2914 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.9912 loss: 2.9912 2022/08/14 04:10:52 - mmengine - INFO - Epoch(train) [49][3100/3757] lr: 9.1573e-02 eta: 3 days, 14:29:10 time: 0.3969 data_time: 0.0150 memory: 13431 grad_norm: 2.3284 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9392 loss: 2.9392 2022/08/14 04:11:31 - mmengine - INFO - Epoch(train) [49][3200/3757] lr: 9.1573e-02 eta: 3 days, 14:28:29 time: 0.3967 data_time: 0.0147 memory: 13431 grad_norm: 2.3059 top1_acc: 0.0000 top5_acc: 0.8750 loss_cls: 3.2592 loss: 3.2592 2022/08/14 04:12:12 - mmengine - INFO - Epoch(train) [49][3300/3757] lr: 9.1573e-02 eta: 3 days, 14:27:49 time: 0.3988 data_time: 0.0148 memory: 13431 grad_norm: 2.2699 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1595 loss: 3.1595 2022/08/14 04:12:52 - mmengine - INFO - Epoch(train) [49][3400/3757] lr: 9.1573e-02 eta: 3 days, 14:27:09 time: 0.3971 data_time: 0.0133 memory: 13431 grad_norm: 2.3075 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2304 loss: 3.2304 2022/08/14 04:13:32 - mmengine - INFO - Epoch(train) [49][3500/3757] lr: 9.1573e-02 eta: 3 days, 14:26:31 time: 0.3961 data_time: 0.0144 memory: 13431 grad_norm: 2.3222 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1463 loss: 3.1463 2022/08/14 04:14:12 - mmengine - INFO - Epoch(train) [49][3600/3757] lr: 9.1573e-02 eta: 3 days, 14:25:51 time: 0.3976 data_time: 0.0142 memory: 13431 grad_norm: 2.3045 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9050 loss: 2.9050 2022/08/14 04:14:38 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 04:14:52 - mmengine - INFO - Epoch(train) [49][3700/3757] lr: 9.1573e-02 eta: 3 days, 14:25:10 time: 0.3963 data_time: 0.0146 memory: 13431 grad_norm: 2.3183 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9508 loss: 2.9508 2022/08/14 04:15:15 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 04:15:15 - mmengine - INFO - Epoch(train) [49][3757/3757] lr: 9.1573e-02 eta: 3 days, 14:24:54 time: 0.3856 data_time: 0.0135 memory: 13431 grad_norm: 2.3515 top1_acc: 0.1429 top5_acc: 0.4286 loss_cls: 2.9271 loss: 2.9271 2022/08/14 04:15:57 - mmengine - INFO - Epoch(train) [50][100/3757] lr: 9.1229e-02 eta: 3 days, 14:23:46 time: 0.3987 data_time: 0.0145 memory: 13431 grad_norm: 2.3414 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7540 loss: 2.7540 2022/08/14 04:16:37 - mmengine - INFO - Epoch(train) [50][200/3757] lr: 9.1229e-02 eta: 3 days, 14:23:06 time: 0.4041 data_time: 0.0139 memory: 13431 grad_norm: 2.3015 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0857 loss: 3.0857 2022/08/14 04:17:17 - mmengine - INFO - Epoch(train) [50][300/3757] lr: 9.1229e-02 eta: 3 days, 14:22:27 time: 0.3995 data_time: 0.0163 memory: 13431 grad_norm: 2.3060 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9751 loss: 2.9751 2022/08/14 04:17:57 - mmengine - INFO - Epoch(train) [50][400/3757] lr: 9.1229e-02 eta: 3 days, 14:21:47 time: 0.4047 data_time: 0.0146 memory: 13431 grad_norm: 2.3771 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2081 loss: 3.2081 2022/08/14 04:18:37 - mmengine - INFO - Epoch(train) [50][500/3757] lr: 9.1229e-02 eta: 3 days, 14:21:06 time: 0.3966 data_time: 0.0140 memory: 13431 grad_norm: 2.3532 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9597 loss: 2.9597 2022/08/14 04:19:17 - mmengine - INFO - Epoch(train) [50][600/3757] lr: 9.1229e-02 eta: 3 days, 14:20:26 time: 0.4004 data_time: 0.0151 memory: 13431 grad_norm: 2.3752 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9379 loss: 2.9379 2022/08/14 04:19:57 - mmengine - INFO - Epoch(train) [50][700/3757] lr: 9.1229e-02 eta: 3 days, 14:19:45 time: 0.3987 data_time: 0.0156 memory: 13431 grad_norm: 2.3090 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0066 loss: 3.0066 2022/08/14 04:20:36 - mmengine - INFO - Epoch(train) [50][800/3757] lr: 9.1229e-02 eta: 3 days, 14:19:04 time: 0.3949 data_time: 0.0135 memory: 13431 grad_norm: 2.4333 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1728 loss: 3.1728 2022/08/14 04:21:16 - mmengine - INFO - Epoch(train) [50][900/3757] lr: 9.1229e-02 eta: 3 days, 14:18:24 time: 0.3995 data_time: 0.0138 memory: 13431 grad_norm: 2.4014 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8809 loss: 2.8809 2022/08/14 04:21:19 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 04:21:57 - mmengine - INFO - Epoch(train) [50][1000/3757] lr: 9.1229e-02 eta: 3 days, 14:17:45 time: 0.3978 data_time: 0.0135 memory: 13431 grad_norm: 2.3652 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1661 loss: 3.1661 2022/08/14 04:22:37 - mmengine - INFO - Epoch(train) [50][1100/3757] lr: 9.1229e-02 eta: 3 days, 14:17:04 time: 0.4006 data_time: 0.0149 memory: 13431 grad_norm: 2.4404 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1906 loss: 3.1906 2022/08/14 04:23:16 - mmengine - INFO - Epoch(train) [50][1200/3757] lr: 9.1229e-02 eta: 3 days, 14:16:23 time: 0.3967 data_time: 0.0144 memory: 13431 grad_norm: 2.2759 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7152 loss: 2.7152 2022/08/14 04:23:56 - mmengine - INFO - Epoch(train) [50][1300/3757] lr: 9.1229e-02 eta: 3 days, 14:15:43 time: 0.4002 data_time: 0.0149 memory: 13431 grad_norm: 2.2814 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9752 loss: 2.9752 2022/08/14 04:24:36 - mmengine - INFO - Epoch(train) [50][1400/3757] lr: 9.1229e-02 eta: 3 days, 14:15:03 time: 0.3981 data_time: 0.0143 memory: 13431 grad_norm: 2.2833 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1785 loss: 3.1785 2022/08/14 04:25:16 - mmengine - INFO - Epoch(train) [50][1500/3757] lr: 9.1229e-02 eta: 3 days, 14:14:22 time: 0.3980 data_time: 0.0145 memory: 13431 grad_norm: 2.3411 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8771 loss: 2.8771 2022/08/14 04:25:56 - mmengine - INFO - Epoch(train) [50][1600/3757] lr: 9.1229e-02 eta: 3 days, 14:13:42 time: 0.4031 data_time: 0.0138 memory: 13431 grad_norm: 2.3216 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8481 loss: 2.8481 2022/08/14 04:26:37 - mmengine - INFO - Epoch(train) [50][1700/3757] lr: 9.1229e-02 eta: 3 days, 14:13:02 time: 0.3945 data_time: 0.0137 memory: 13431 grad_norm: 2.2751 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.1662 loss: 3.1662 2022/08/14 04:27:17 - mmengine - INFO - Epoch(train) [50][1800/3757] lr: 9.1229e-02 eta: 3 days, 14:12:22 time: 0.4035 data_time: 0.0136 memory: 13431 grad_norm: 2.2834 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7518 loss: 2.7518 2022/08/14 04:27:56 - mmengine - INFO - Epoch(train) [50][1900/3757] lr: 9.1229e-02 eta: 3 days, 14:11:42 time: 0.3987 data_time: 0.0139 memory: 13431 grad_norm: 2.2890 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0955 loss: 3.0955 2022/08/14 04:27:59 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 04:28:36 - mmengine - INFO - Epoch(train) [50][2000/3757] lr: 9.1229e-02 eta: 3 days, 14:11:01 time: 0.3964 data_time: 0.0141 memory: 13431 grad_norm: 2.2944 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.8743 loss: 2.8743 2022/08/14 04:29:16 - mmengine - INFO - Epoch(train) [50][2100/3757] lr: 9.1229e-02 eta: 3 days, 14:10:20 time: 0.3958 data_time: 0.0137 memory: 13431 grad_norm: 2.3849 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1002 loss: 3.1002 2022/08/14 04:29:56 - mmengine - INFO - Epoch(train) [50][2200/3757] lr: 9.1229e-02 eta: 3 days, 14:09:39 time: 0.3960 data_time: 0.0162 memory: 13431 grad_norm: 2.3663 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0629 loss: 3.0629 2022/08/14 04:30:36 - mmengine - INFO - Epoch(train) [50][2300/3757] lr: 9.1229e-02 eta: 3 days, 14:08:59 time: 0.4058 data_time: 0.0137 memory: 13431 grad_norm: 2.3845 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.9980 loss: 2.9980 2022/08/14 04:31:16 - mmengine - INFO - Epoch(train) [50][2400/3757] lr: 9.1229e-02 eta: 3 days, 14:08:20 time: 0.3971 data_time: 0.0135 memory: 13431 grad_norm: 2.2992 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9205 loss: 2.9205 2022/08/14 04:31:56 - mmengine - INFO - Epoch(train) [50][2500/3757] lr: 9.1229e-02 eta: 3 days, 14:07:39 time: 0.4020 data_time: 0.0138 memory: 13431 grad_norm: 2.3532 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1544 loss: 3.1544 2022/08/14 04:32:36 - mmengine - INFO - Epoch(train) [50][2600/3757] lr: 9.1229e-02 eta: 3 days, 14:06:59 time: 0.3969 data_time: 0.0134 memory: 13431 grad_norm: 2.3631 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9322 loss: 2.9322 2022/08/14 04:33:16 - mmengine - INFO - Epoch(train) [50][2700/3757] lr: 9.1229e-02 eta: 3 days, 14:06:19 time: 0.3961 data_time: 0.0138 memory: 13431 grad_norm: 2.3604 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1823 loss: 3.1823 2022/08/14 04:33:57 - mmengine - INFO - Epoch(train) [50][2800/3757] lr: 9.1229e-02 eta: 3 days, 14:05:40 time: 0.3974 data_time: 0.0137 memory: 13431 grad_norm: 2.3030 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2852 loss: 3.2852 2022/08/14 04:34:36 - mmengine - INFO - Epoch(train) [50][2900/3757] lr: 9.1229e-02 eta: 3 days, 14:04:59 time: 0.3950 data_time: 0.0136 memory: 13431 grad_norm: 2.3304 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1295 loss: 3.1295 2022/08/14 04:34:39 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 04:35:16 - mmengine - INFO - Epoch(train) [50][3000/3757] lr: 9.1229e-02 eta: 3 days, 14:04:19 time: 0.4048 data_time: 0.0139 memory: 13431 grad_norm: 2.3508 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.8482 loss: 2.8482 2022/08/14 04:35:56 - mmengine - INFO - Epoch(train) [50][3100/3757] lr: 9.1229e-02 eta: 3 days, 14:03:39 time: 0.3966 data_time: 0.0133 memory: 13431 grad_norm: 2.3374 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8619 loss: 2.8619 2022/08/14 04:36:36 - mmengine - INFO - Epoch(train) [50][3200/3757] lr: 9.1229e-02 eta: 3 days, 14:02:58 time: 0.4021 data_time: 0.0143 memory: 13431 grad_norm: 2.3588 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.0403 loss: 3.0403 2022/08/14 04:37:16 - mmengine - INFO - Epoch(train) [50][3300/3757] lr: 9.1229e-02 eta: 3 days, 14:02:18 time: 0.4045 data_time: 0.0137 memory: 13431 grad_norm: 2.3367 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0878 loss: 3.0878 2022/08/14 04:37:56 - mmengine - INFO - Epoch(train) [50][3400/3757] lr: 9.1229e-02 eta: 3 days, 14:01:37 time: 0.3977 data_time: 0.0149 memory: 13431 grad_norm: 2.3642 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0375 loss: 3.0375 2022/08/14 04:38:36 - mmengine - INFO - Epoch(train) [50][3500/3757] lr: 9.1229e-02 eta: 3 days, 14:00:57 time: 0.3965 data_time: 0.0140 memory: 13431 grad_norm: 2.3316 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0130 loss: 3.0130 2022/08/14 04:39:16 - mmengine - INFO - Epoch(train) [50][3600/3757] lr: 9.1229e-02 eta: 3 days, 14:00:16 time: 0.3979 data_time: 0.0139 memory: 13431 grad_norm: 2.3684 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.1055 loss: 3.1055 2022/08/14 04:39:56 - mmengine - INFO - Epoch(train) [50][3700/3757] lr: 9.1229e-02 eta: 3 days, 13:59:36 time: 0.4068 data_time: 0.0143 memory: 13431 grad_norm: 2.3685 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9377 loss: 2.9377 2022/08/14 04:40:19 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 04:40:19 - mmengine - INFO - Epoch(train) [50][3757/3757] lr: 9.1229e-02 eta: 3 days, 13:59:21 time: 0.3926 data_time: 0.0133 memory: 13431 grad_norm: 2.2651 top1_acc: 0.0000 top5_acc: 0.2857 loss_cls: 3.3537 loss: 3.3537 2022/08/14 04:40:41 - mmengine - INFO - Epoch(val) [50][100/310] eta: 0:00:49 time: 0.2356 data_time: 0.1074 memory: 1974 2022/08/14 04:41:03 - mmengine - INFO - Epoch(val) [50][200/310] eta: 0:00:21 time: 0.1932 data_time: 0.0634 memory: 1974 2022/08/14 04:41:24 - mmengine - INFO - Epoch(val) [50][300/310] eta: 0:00:02 time: 0.2119 data_time: 0.0814 memory: 1974 2022/08/14 04:41:28 - mmengine - INFO - Epoch(val) [50][310/310] acc/top1: 0.4035 acc/top5: 0.6788 acc/mean1: 0.4032 2022/08/14 04:41:28 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_26.pth is removed 2022/08/14 04:41:32 - mmengine - INFO - The best checkpoint with 0.4035 acc/top1 at 51 epoch is saved to best_acc/top1_epoch_51.pth. 2022/08/14 04:42:13 - mmengine - INFO - Epoch(train) [51][100/3757] lr: 9.0879e-02 eta: 3 days, 13:58:10 time: 0.3972 data_time: 0.0147 memory: 13431 grad_norm: 2.3939 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6905 loss: 2.6905 2022/08/14 04:42:33 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 04:42:53 - mmengine - INFO - Epoch(train) [51][200/3757] lr: 9.0879e-02 eta: 3 days, 13:57:29 time: 0.4036 data_time: 0.0135 memory: 13431 grad_norm: 2.2609 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1217 loss: 3.1217 2022/08/14 04:43:32 - mmengine - INFO - Epoch(train) [51][300/3757] lr: 9.0879e-02 eta: 3 days, 13:56:48 time: 0.3962 data_time: 0.0141 memory: 13431 grad_norm: 2.2269 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2705 loss: 3.2705 2022/08/14 04:44:12 - mmengine - INFO - Epoch(train) [51][400/3757] lr: 9.0879e-02 eta: 3 days, 13:56:07 time: 0.3997 data_time: 0.0152 memory: 13431 grad_norm: 2.3762 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0312 loss: 3.0312 2022/08/14 04:44:52 - mmengine - INFO - Epoch(train) [51][500/3757] lr: 9.0879e-02 eta: 3 days, 13:55:26 time: 0.3976 data_time: 0.0148 memory: 13431 grad_norm: 2.3804 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9590 loss: 2.9590 2022/08/14 04:45:32 - mmengine - INFO - Epoch(train) [51][600/3757] lr: 9.0879e-02 eta: 3 days, 13:54:47 time: 0.4020 data_time: 0.0154 memory: 13431 grad_norm: 2.2936 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9952 loss: 2.9952 2022/08/14 04:46:12 - mmengine - INFO - Epoch(train) [51][700/3757] lr: 9.0879e-02 eta: 3 days, 13:54:07 time: 0.3995 data_time: 0.0149 memory: 13431 grad_norm: 2.3861 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0921 loss: 3.0921 2022/08/14 04:46:52 - mmengine - INFO - Epoch(train) [51][800/3757] lr: 9.0879e-02 eta: 3 days, 13:53:26 time: 0.3985 data_time: 0.0138 memory: 13431 grad_norm: 2.3291 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2079 loss: 3.2079 2022/08/14 04:47:32 - mmengine - INFO - Epoch(train) [51][900/3757] lr: 9.0879e-02 eta: 3 days, 13:52:46 time: 0.3960 data_time: 0.0135 memory: 13431 grad_norm: 2.3842 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0416 loss: 3.0416 2022/08/14 04:48:12 - mmengine - INFO - Epoch(train) [51][1000/3757] lr: 9.0879e-02 eta: 3 days, 13:52:05 time: 0.3971 data_time: 0.0146 memory: 13431 grad_norm: 2.2759 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8343 loss: 2.8343 2022/08/14 04:48:52 - mmengine - INFO - Epoch(train) [51][1100/3757] lr: 9.0879e-02 eta: 3 days, 13:51:25 time: 0.4010 data_time: 0.0147 memory: 13431 grad_norm: 2.3754 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8546 loss: 2.8546 2022/08/14 04:49:12 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 04:49:32 - mmengine - INFO - Epoch(train) [51][1200/3757] lr: 9.0879e-02 eta: 3 days, 13:50:44 time: 0.3970 data_time: 0.0135 memory: 13431 grad_norm: 2.3343 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2575 loss: 3.2575 2022/08/14 04:50:12 - mmengine - INFO - Epoch(train) [51][1300/3757] lr: 9.0879e-02 eta: 3 days, 13:50:04 time: 0.4029 data_time: 0.0146 memory: 13431 grad_norm: 2.4412 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2481 loss: 3.2481 2022/08/14 04:50:52 - mmengine - INFO - Epoch(train) [51][1400/3757] lr: 9.0879e-02 eta: 3 days, 13:49:25 time: 0.4000 data_time: 0.0148 memory: 13431 grad_norm: 2.3525 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.9919 loss: 2.9919 2022/08/14 04:51:32 - mmengine - INFO - Epoch(train) [51][1500/3757] lr: 9.0879e-02 eta: 3 days, 13:48:44 time: 0.3976 data_time: 0.0139 memory: 13431 grad_norm: 2.3295 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0932 loss: 3.0932 2022/08/14 04:52:12 - mmengine - INFO - Epoch(train) [51][1600/3757] lr: 9.0879e-02 eta: 3 days, 13:48:05 time: 0.3975 data_time: 0.0136 memory: 13431 grad_norm: 2.3260 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7754 loss: 2.7754 2022/08/14 04:52:52 - mmengine - INFO - Epoch(train) [51][1700/3757] lr: 9.0879e-02 eta: 3 days, 13:47:24 time: 0.3971 data_time: 0.0131 memory: 13431 grad_norm: 2.3412 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9271 loss: 2.9271 2022/08/14 04:53:32 - mmengine - INFO - Epoch(train) [51][1800/3757] lr: 9.0879e-02 eta: 3 days, 13:46:44 time: 0.3996 data_time: 0.0150 memory: 13431 grad_norm: 2.4183 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8350 loss: 2.8350 2022/08/14 04:54:12 - mmengine - INFO - Epoch(train) [51][1900/3757] lr: 9.0879e-02 eta: 3 days, 13:46:03 time: 0.3981 data_time: 0.0149 memory: 13431 grad_norm: 2.3212 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7292 loss: 2.7292 2022/08/14 04:54:52 - mmengine - INFO - Epoch(train) [51][2000/3757] lr: 9.0879e-02 eta: 3 days, 13:45:24 time: 0.3981 data_time: 0.0142 memory: 13431 grad_norm: 2.3883 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1693 loss: 3.1693 2022/08/14 04:55:32 - mmengine - INFO - Epoch(train) [51][2100/3757] lr: 9.0879e-02 eta: 3 days, 13:44:44 time: 0.3988 data_time: 0.0147 memory: 13431 grad_norm: 2.3442 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1909 loss: 3.1909 2022/08/14 04:55:52 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 04:56:13 - mmengine - INFO - Epoch(train) [51][2200/3757] lr: 9.0879e-02 eta: 3 days, 13:44:04 time: 0.3967 data_time: 0.0140 memory: 13431 grad_norm: 2.3688 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3213 loss: 3.3213 2022/08/14 04:56:53 - mmengine - INFO - Epoch(train) [51][2300/3757] lr: 9.0879e-02 eta: 3 days, 13:43:24 time: 0.3963 data_time: 0.0136 memory: 13431 grad_norm: 2.3909 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1764 loss: 3.1764 2022/08/14 04:57:32 - mmengine - INFO - Epoch(train) [51][2400/3757] lr: 9.0879e-02 eta: 3 days, 13:42:44 time: 0.3975 data_time: 0.0141 memory: 13431 grad_norm: 2.3522 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0700 loss: 3.0700 2022/08/14 04:58:12 - mmengine - INFO - Epoch(train) [51][2500/3757] lr: 9.0879e-02 eta: 3 days, 13:42:03 time: 0.3964 data_time: 0.0147 memory: 13431 grad_norm: 2.3762 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0053 loss: 3.0053 2022/08/14 04:58:52 - mmengine - INFO - Epoch(train) [51][2600/3757] lr: 9.0879e-02 eta: 3 days, 13:41:23 time: 0.3994 data_time: 0.0136 memory: 13431 grad_norm: 2.4217 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.2392 loss: 3.2392 2022/08/14 04:59:32 - mmengine - INFO - Epoch(train) [51][2700/3757] lr: 9.0879e-02 eta: 3 days, 13:40:43 time: 0.4022 data_time: 0.0141 memory: 13431 grad_norm: 2.3093 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1911 loss: 3.1911 2022/08/14 05:00:12 - mmengine - INFO - Epoch(train) [51][2800/3757] lr: 9.0879e-02 eta: 3 days, 13:40:03 time: 0.3964 data_time: 0.0144 memory: 13431 grad_norm: 2.3116 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9397 loss: 2.9397 2022/08/14 05:00:53 - mmengine - INFO - Epoch(train) [51][2900/3757] lr: 9.0879e-02 eta: 3 days, 13:39:23 time: 0.3972 data_time: 0.0137 memory: 13431 grad_norm: 2.3753 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.9074 loss: 2.9074 2022/08/14 05:01:33 - mmengine - INFO - Epoch(train) [51][3000/3757] lr: 9.0879e-02 eta: 3 days, 13:38:42 time: 0.3966 data_time: 0.0148 memory: 13431 grad_norm: 2.3460 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1062 loss: 3.1062 2022/08/14 05:02:12 - mmengine - INFO - Epoch(train) [51][3100/3757] lr: 9.0879e-02 eta: 3 days, 13:38:02 time: 0.3969 data_time: 0.0139 memory: 13431 grad_norm: 2.3867 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0921 loss: 3.0921 2022/08/14 05:02:32 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 05:02:52 - mmengine - INFO - Epoch(train) [51][3200/3757] lr: 9.0879e-02 eta: 3 days, 13:37:22 time: 0.3963 data_time: 0.0149 memory: 13431 grad_norm: 2.3803 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8416 loss: 2.8416 2022/08/14 05:03:32 - mmengine - INFO - Epoch(train) [51][3300/3757] lr: 9.0879e-02 eta: 3 days, 13:36:41 time: 0.3976 data_time: 0.0153 memory: 13431 grad_norm: 2.2808 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.2063 loss: 3.2063 2022/08/14 05:04:13 - mmengine - INFO - Epoch(train) [51][3400/3757] lr: 9.0879e-02 eta: 3 days, 13:36:02 time: 0.4087 data_time: 0.0146 memory: 13431 grad_norm: 2.3310 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2593 loss: 3.2593 2022/08/14 05:04:52 - mmengine - INFO - Epoch(train) [51][3500/3757] lr: 9.0879e-02 eta: 3 days, 13:35:21 time: 0.3975 data_time: 0.0136 memory: 13431 grad_norm: 2.3158 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3011 loss: 3.3011 2022/08/14 05:05:33 - mmengine - INFO - Epoch(train) [51][3600/3757] lr: 9.0879e-02 eta: 3 days, 13:34:42 time: 0.4011 data_time: 0.0146 memory: 13431 grad_norm: 2.2737 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9980 loss: 2.9980 2022/08/14 05:06:13 - mmengine - INFO - Epoch(train) [51][3700/3757] lr: 9.0879e-02 eta: 3 days, 13:34:02 time: 0.4008 data_time: 0.0140 memory: 13431 grad_norm: 2.3922 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.1502 loss: 3.1502 2022/08/14 05:06:35 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 05:06:35 - mmengine - INFO - Epoch(train) [51][3757/3757] lr: 9.0879e-02 eta: 3 days, 13:33:45 time: 0.3885 data_time: 0.0141 memory: 13431 grad_norm: 2.3150 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.8407 loss: 2.8407 2022/08/14 05:07:17 - mmengine - INFO - Epoch(train) [52][100/3757] lr: 9.0523e-02 eta: 3 days, 13:32:39 time: 0.3994 data_time: 0.0153 memory: 13431 grad_norm: 2.3519 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.0830 loss: 3.0830 2022/08/14 05:07:57 - mmengine - INFO - Epoch(train) [52][200/3757] lr: 9.0523e-02 eta: 3 days, 13:31:58 time: 0.3983 data_time: 0.0143 memory: 13431 grad_norm: 2.4144 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0548 loss: 3.0548 2022/08/14 05:08:37 - mmengine - INFO - Epoch(train) [52][300/3757] lr: 9.0523e-02 eta: 3 days, 13:31:18 time: 0.4066 data_time: 0.0141 memory: 13431 grad_norm: 2.3401 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8571 loss: 2.8571 2022/08/14 05:09:15 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 05:09:17 - mmengine - INFO - Epoch(train) [52][400/3757] lr: 9.0523e-02 eta: 3 days, 13:30:38 time: 0.3965 data_time: 0.0148 memory: 13431 grad_norm: 2.3126 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8791 loss: 2.8791 2022/08/14 05:09:57 - mmengine - INFO - Epoch(train) [52][500/3757] lr: 9.0523e-02 eta: 3 days, 13:29:57 time: 0.3997 data_time: 0.0148 memory: 13431 grad_norm: 2.4205 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9100 loss: 2.9100 2022/08/14 05:10:37 - mmengine - INFO - Epoch(train) [52][600/3757] lr: 9.0523e-02 eta: 3 days, 13:29:17 time: 0.3981 data_time: 0.0137 memory: 13431 grad_norm: 2.3617 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9246 loss: 2.9246 2022/08/14 05:11:17 - mmengine - INFO - Epoch(train) [52][700/3757] lr: 9.0523e-02 eta: 3 days, 13:28:37 time: 0.3974 data_time: 0.0144 memory: 13431 grad_norm: 2.4184 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2177 loss: 3.2177 2022/08/14 05:11:57 - mmengine - INFO - Epoch(train) [52][800/3757] lr: 9.0523e-02 eta: 3 days, 13:27:56 time: 0.3979 data_time: 0.0150 memory: 13431 grad_norm: 2.2277 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1396 loss: 3.1396 2022/08/14 05:12:37 - mmengine - INFO - Epoch(train) [52][900/3757] lr: 9.0523e-02 eta: 3 days, 13:27:16 time: 0.3991 data_time: 0.0143 memory: 13431 grad_norm: 2.3896 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.0091 loss: 3.0091 2022/08/14 05:13:17 - mmengine - INFO - Epoch(train) [52][1000/3757] lr: 9.0523e-02 eta: 3 days, 13:26:35 time: 0.4023 data_time: 0.0135 memory: 13431 grad_norm: 2.3639 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0658 loss: 3.0658 2022/08/14 05:13:57 - mmengine - INFO - Epoch(train) [52][1100/3757] lr: 9.0523e-02 eta: 3 days, 13:25:55 time: 0.4005 data_time: 0.0141 memory: 13431 grad_norm: 2.3768 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1196 loss: 3.1196 2022/08/14 05:14:37 - mmengine - INFO - Epoch(train) [52][1200/3757] lr: 9.0523e-02 eta: 3 days, 13:25:15 time: 0.3975 data_time: 0.0139 memory: 13431 grad_norm: 2.4601 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8904 loss: 2.8904 2022/08/14 05:15:17 - mmengine - INFO - Epoch(train) [52][1300/3757] lr: 9.0523e-02 eta: 3 days, 13:24:35 time: 0.3978 data_time: 0.0140 memory: 13431 grad_norm: 2.3885 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0493 loss: 3.0493 2022/08/14 05:15:54 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 05:15:57 - mmengine - INFO - Epoch(train) [52][1400/3757] lr: 9.0523e-02 eta: 3 days, 13:23:55 time: 0.3997 data_time: 0.0160 memory: 13431 grad_norm: 2.3380 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0741 loss: 3.0741 2022/08/14 05:16:37 - mmengine - INFO - Epoch(train) [52][1500/3757] lr: 9.0523e-02 eta: 3 days, 13:23:14 time: 0.3968 data_time: 0.0153 memory: 13431 grad_norm: 2.3298 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9552 loss: 2.9552 2022/08/14 05:17:17 - mmengine - INFO - Epoch(train) [52][1600/3757] lr: 9.0523e-02 eta: 3 days, 13:22:34 time: 0.3989 data_time: 0.0151 memory: 13431 grad_norm: 2.3395 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8932 loss: 2.8932 2022/08/14 05:17:57 - mmengine - INFO - Epoch(train) [52][1700/3757] lr: 9.0523e-02 eta: 3 days, 13:21:54 time: 0.4059 data_time: 0.0151 memory: 13431 grad_norm: 2.3136 top1_acc: 0.1250 top5_acc: 1.0000 loss_cls: 2.9340 loss: 2.9340 2022/08/14 05:18:37 - mmengine - INFO - Epoch(train) [52][1800/3757] lr: 9.0523e-02 eta: 3 days, 13:21:14 time: 0.4003 data_time: 0.0147 memory: 13431 grad_norm: 2.3012 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8941 loss: 2.8941 2022/08/14 05:19:17 - mmengine - INFO - Epoch(train) [52][1900/3757] lr: 9.0523e-02 eta: 3 days, 13:20:33 time: 0.3974 data_time: 0.0152 memory: 13431 grad_norm: 2.3521 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0598 loss: 3.0598 2022/08/14 05:19:57 - mmengine - INFO - Epoch(train) [52][2000/3757] lr: 9.0523e-02 eta: 3 days, 13:19:53 time: 0.4043 data_time: 0.0147 memory: 13431 grad_norm: 2.3836 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.1001 loss: 3.1001 2022/08/14 05:20:37 - mmengine - INFO - Epoch(train) [52][2100/3757] lr: 9.0523e-02 eta: 3 days, 13:19:13 time: 0.3977 data_time: 0.0135 memory: 13431 grad_norm: 2.3679 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0601 loss: 3.0601 2022/08/14 05:21:17 - mmengine - INFO - Epoch(train) [52][2200/3757] lr: 9.0523e-02 eta: 3 days, 13:18:32 time: 0.3973 data_time: 0.0141 memory: 13431 grad_norm: 2.3220 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0295 loss: 3.0295 2022/08/14 05:21:57 - mmengine - INFO - Epoch(train) [52][2300/3757] lr: 9.0523e-02 eta: 3 days, 13:17:52 time: 0.3981 data_time: 0.0140 memory: 13431 grad_norm: 2.4062 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0810 loss: 3.0810 2022/08/14 05:22:34 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 05:22:37 - mmengine - INFO - Epoch(train) [52][2400/3757] lr: 9.0523e-02 eta: 3 days, 13:17:12 time: 0.4054 data_time: 0.0138 memory: 13431 grad_norm: 2.4510 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8572 loss: 2.8572 2022/08/14 05:23:17 - mmengine - INFO - Epoch(train) [52][2500/3757] lr: 9.0523e-02 eta: 3 days, 13:16:32 time: 0.4009 data_time: 0.0161 memory: 13431 grad_norm: 2.3871 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0432 loss: 3.0432 2022/08/14 05:23:57 - mmengine - INFO - Epoch(train) [52][2600/3757] lr: 9.0523e-02 eta: 3 days, 13:15:51 time: 0.3976 data_time: 0.0148 memory: 13431 grad_norm: 2.3897 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0770 loss: 3.0770 2022/08/14 05:24:37 - mmengine - INFO - Epoch(train) [52][2700/3757] lr: 9.0523e-02 eta: 3 days, 13:15:12 time: 0.4023 data_time: 0.0148 memory: 13431 grad_norm: 2.3258 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7789 loss: 2.7789 2022/08/14 05:25:17 - mmengine - INFO - Epoch(train) [52][2800/3757] lr: 9.0523e-02 eta: 3 days, 13:14:32 time: 0.3980 data_time: 0.0139 memory: 13431 grad_norm: 2.4229 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.0970 loss: 3.0970 2022/08/14 05:25:57 - mmengine - INFO - Epoch(train) [52][2900/3757] lr: 9.0523e-02 eta: 3 days, 13:13:52 time: 0.3990 data_time: 0.0148 memory: 13431 grad_norm: 2.3541 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1268 loss: 3.1268 2022/08/14 05:26:37 - mmengine - INFO - Epoch(train) [52][3000/3757] lr: 9.0523e-02 eta: 3 days, 13:13:12 time: 0.4004 data_time: 0.0149 memory: 13431 grad_norm: 2.2644 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9531 loss: 2.9531 2022/08/14 05:27:17 - mmengine - INFO - Epoch(train) [52][3100/3757] lr: 9.0523e-02 eta: 3 days, 13:12:32 time: 0.4057 data_time: 0.0154 memory: 13431 grad_norm: 2.3415 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8669 loss: 2.8669 2022/08/14 05:27:57 - mmengine - INFO - Epoch(train) [52][3200/3757] lr: 9.0523e-02 eta: 3 days, 13:11:53 time: 0.4010 data_time: 0.0144 memory: 13431 grad_norm: 2.3436 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7570 loss: 2.7570 2022/08/14 05:28:37 - mmengine - INFO - Epoch(train) [52][3300/3757] lr: 9.0523e-02 eta: 3 days, 13:11:12 time: 0.3974 data_time: 0.0144 memory: 13431 grad_norm: 2.3962 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9907 loss: 2.9907 2022/08/14 05:29:14 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 05:29:17 - mmengine - INFO - Epoch(train) [52][3400/3757] lr: 9.0523e-02 eta: 3 days, 13:10:32 time: 0.4068 data_time: 0.0151 memory: 13431 grad_norm: 2.3000 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9326 loss: 2.9326 2022/08/14 05:29:57 - mmengine - INFO - Epoch(train) [52][3500/3757] lr: 9.0523e-02 eta: 3 days, 13:09:52 time: 0.3973 data_time: 0.0160 memory: 13431 grad_norm: 2.2601 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7362 loss: 2.7362 2022/08/14 05:30:37 - mmengine - INFO - Epoch(train) [52][3600/3757] lr: 9.0523e-02 eta: 3 days, 13:09:11 time: 0.3979 data_time: 0.0153 memory: 13431 grad_norm: 2.3372 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1142 loss: 3.1142 2022/08/14 05:31:17 - mmengine - INFO - Epoch(train) [52][3700/3757] lr: 9.0523e-02 eta: 3 days, 13:08:31 time: 0.4020 data_time: 0.0140 memory: 13431 grad_norm: 2.3331 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0887 loss: 3.0887 2022/08/14 05:31:40 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 05:31:40 - mmengine - INFO - Epoch(train) [52][3757/3757] lr: 9.0523e-02 eta: 3 days, 13:08:15 time: 0.3886 data_time: 0.0142 memory: 13431 grad_norm: 2.3486 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 3.1269 loss: 3.1269 2022/08/14 05:31:40 - mmengine - INFO - Saving checkpoint at 52 epochs 2022/08/14 05:32:26 - mmengine - INFO - Epoch(train) [53][100/3757] lr: 9.0160e-02 eta: 3 days, 13:07:08 time: 0.4019 data_time: 0.0135 memory: 13431 grad_norm: 2.3336 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.4940 loss: 3.4940 2022/08/14 05:33:06 - mmengine - INFO - Epoch(train) [53][200/3757] lr: 9.0160e-02 eta: 3 days, 13:06:28 time: 0.3979 data_time: 0.0144 memory: 13431 grad_norm: 2.4518 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1213 loss: 3.1213 2022/08/14 05:33:46 - mmengine - INFO - Epoch(train) [53][300/3757] lr: 9.0160e-02 eta: 3 days, 13:05:47 time: 0.3980 data_time: 0.0144 memory: 13431 grad_norm: 2.3331 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8555 loss: 2.8555 2022/08/14 05:34:26 - mmengine - INFO - Epoch(train) [53][400/3757] lr: 9.0160e-02 eta: 3 days, 13:05:08 time: 0.3981 data_time: 0.0168 memory: 13431 grad_norm: 2.3298 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9085 loss: 2.9085 2022/08/14 05:35:06 - mmengine - INFO - Epoch(train) [53][500/3757] lr: 9.0160e-02 eta: 3 days, 13:04:28 time: 0.3978 data_time: 0.0136 memory: 13431 grad_norm: 2.3815 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.9844 loss: 2.9844 2022/08/14 05:35:46 - mmengine - INFO - Epoch(train) [53][600/3757] lr: 9.0160e-02 eta: 3 days, 13:03:47 time: 0.3964 data_time: 0.0136 memory: 13431 grad_norm: 2.3803 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1105 loss: 3.1105 2022/08/14 05:36:01 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 05:36:26 - mmengine - INFO - Epoch(train) [53][700/3757] lr: 9.0160e-02 eta: 3 days, 13:03:07 time: 0.3973 data_time: 0.0143 memory: 13431 grad_norm: 2.3576 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0747 loss: 3.0747 2022/08/14 05:37:07 - mmengine - INFO - Epoch(train) [53][800/3757] lr: 9.0160e-02 eta: 3 days, 13:02:28 time: 0.4022 data_time: 0.0150 memory: 13431 grad_norm: 2.2917 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2331 loss: 3.2331 2022/08/14 05:37:47 - mmengine - INFO - Epoch(train) [53][900/3757] lr: 9.0160e-02 eta: 3 days, 13:01:48 time: 0.3960 data_time: 0.0139 memory: 13431 grad_norm: 2.3156 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9887 loss: 2.9887 2022/08/14 05:38:27 - mmengine - INFO - Epoch(train) [53][1000/3757] lr: 9.0160e-02 eta: 3 days, 13:01:08 time: 0.3997 data_time: 0.0140 memory: 13431 grad_norm: 2.3522 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0962 loss: 3.0962 2022/08/14 05:39:07 - mmengine - INFO - Epoch(train) [53][1100/3757] lr: 9.0160e-02 eta: 3 days, 13:00:28 time: 0.3974 data_time: 0.0136 memory: 13431 grad_norm: 2.3824 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0663 loss: 3.0663 2022/08/14 05:39:47 - mmengine - INFO - Epoch(train) [53][1200/3757] lr: 9.0160e-02 eta: 3 days, 12:59:48 time: 0.3982 data_time: 0.0142 memory: 13431 grad_norm: 2.3206 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0456 loss: 3.0456 2022/08/14 05:40:27 - mmengine - INFO - Epoch(train) [53][1300/3757] lr: 9.0160e-02 eta: 3 days, 12:59:07 time: 0.3974 data_time: 0.0146 memory: 13431 grad_norm: 2.4839 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8217 loss: 2.8217 2022/08/14 05:41:07 - mmengine - INFO - Epoch(train) [53][1400/3757] lr: 9.0160e-02 eta: 3 days, 12:58:27 time: 0.3970 data_time: 0.0151 memory: 13431 grad_norm: 2.2639 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.9641 loss: 2.9641 2022/08/14 05:41:47 - mmengine - INFO - Epoch(train) [53][1500/3757] lr: 9.0160e-02 eta: 3 days, 12:57:47 time: 0.3979 data_time: 0.0133 memory: 13431 grad_norm: 2.2835 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1433 loss: 3.1433 2022/08/14 05:42:27 - mmengine - INFO - Epoch(train) [53][1600/3757] lr: 9.0160e-02 eta: 3 days, 12:57:08 time: 0.4002 data_time: 0.0149 memory: 13431 grad_norm: 2.3451 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1514 loss: 3.1514 2022/08/14 05:42:41 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 05:43:07 - mmengine - INFO - Epoch(train) [53][1700/3757] lr: 9.0160e-02 eta: 3 days, 12:56:28 time: 0.3971 data_time: 0.0142 memory: 13431 grad_norm: 2.3930 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3272 loss: 3.3272 2022/08/14 05:43:47 - mmengine - INFO - Epoch(train) [53][1800/3757] lr: 9.0160e-02 eta: 3 days, 12:55:48 time: 0.3987 data_time: 0.0140 memory: 13431 grad_norm: 2.3542 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7426 loss: 2.7426 2022/08/14 05:44:27 - mmengine - INFO - Epoch(train) [53][1900/3757] lr: 9.0160e-02 eta: 3 days, 12:55:07 time: 0.3987 data_time: 0.0155 memory: 13431 grad_norm: 2.3278 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0894 loss: 3.0894 2022/08/14 05:45:07 - mmengine - INFO - Epoch(train) [53][2000/3757] lr: 9.0160e-02 eta: 3 days, 12:54:27 time: 0.3971 data_time: 0.0152 memory: 13431 grad_norm: 2.3378 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9638 loss: 2.9638 2022/08/14 05:45:47 - mmengine - INFO - Epoch(train) [53][2100/3757] lr: 9.0160e-02 eta: 3 days, 12:53:46 time: 0.3977 data_time: 0.0148 memory: 13431 grad_norm: 2.3529 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1023 loss: 3.1023 2022/08/14 05:46:27 - mmengine - INFO - Epoch(train) [53][2200/3757] lr: 9.0160e-02 eta: 3 days, 12:53:07 time: 0.3998 data_time: 0.0145 memory: 13431 grad_norm: 2.3955 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8920 loss: 2.8920 2022/08/14 05:47:07 - mmengine - INFO - Epoch(train) [53][2300/3757] lr: 9.0160e-02 eta: 3 days, 12:52:27 time: 0.4036 data_time: 0.0141 memory: 13431 grad_norm: 2.3293 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6497 loss: 2.6497 2022/08/14 05:47:47 - mmengine - INFO - Epoch(train) [53][2400/3757] lr: 9.0160e-02 eta: 3 days, 12:51:47 time: 0.3995 data_time: 0.0137 memory: 13431 grad_norm: 2.3988 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9116 loss: 2.9116 2022/08/14 05:48:27 - mmengine - INFO - Epoch(train) [53][2500/3757] lr: 9.0160e-02 eta: 3 days, 12:51:06 time: 0.3961 data_time: 0.0143 memory: 13431 grad_norm: 2.3494 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9891 loss: 2.9891 2022/08/14 05:49:07 - mmengine - INFO - Epoch(train) [53][2600/3757] lr: 9.0160e-02 eta: 3 days, 12:50:26 time: 0.3973 data_time: 0.0147 memory: 13431 grad_norm: 2.3436 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8634 loss: 2.8634 2022/08/14 05:49:21 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 05:49:47 - mmengine - INFO - Epoch(train) [53][2700/3757] lr: 9.0160e-02 eta: 3 days, 12:49:45 time: 0.3963 data_time: 0.0143 memory: 13431 grad_norm: 2.3160 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0236 loss: 3.0236 2022/08/14 05:50:27 - mmengine - INFO - Epoch(train) [53][2800/3757] lr: 9.0160e-02 eta: 3 days, 12:49:05 time: 0.3982 data_time: 0.0147 memory: 13431 grad_norm: 2.3442 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9415 loss: 2.9415 2022/08/14 05:51:07 - mmengine - INFO - Epoch(train) [53][2900/3757] lr: 9.0160e-02 eta: 3 days, 12:48:26 time: 0.3977 data_time: 0.0143 memory: 13431 grad_norm: 2.2763 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8766 loss: 2.8766 2022/08/14 05:51:47 - mmengine - INFO - Epoch(train) [53][3000/3757] lr: 9.0160e-02 eta: 3 days, 12:47:45 time: 0.3977 data_time: 0.0134 memory: 13431 grad_norm: 2.3259 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7608 loss: 2.7608 2022/08/14 05:52:27 - mmengine - INFO - Epoch(train) [53][3100/3757] lr: 9.0160e-02 eta: 3 days, 12:47:05 time: 0.3977 data_time: 0.0138 memory: 13431 grad_norm: 2.3958 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6188 loss: 2.6188 2022/08/14 05:53:07 - mmengine - INFO - Epoch(train) [53][3200/3757] lr: 9.0160e-02 eta: 3 days, 12:46:25 time: 0.3971 data_time: 0.0141 memory: 13431 grad_norm: 2.3400 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8766 loss: 2.8766 2022/08/14 05:53:47 - mmengine - INFO - Epoch(train) [53][3300/3757] lr: 9.0160e-02 eta: 3 days, 12:45:45 time: 0.3981 data_time: 0.0147 memory: 13431 grad_norm: 2.3728 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9498 loss: 2.9498 2022/08/14 05:54:27 - mmengine - INFO - Epoch(train) [53][3400/3757] lr: 9.0160e-02 eta: 3 days, 12:45:05 time: 0.3970 data_time: 0.0137 memory: 13431 grad_norm: 2.2970 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3715 loss: 3.3715 2022/08/14 05:55:07 - mmengine - INFO - Epoch(train) [53][3500/3757] lr: 9.0160e-02 eta: 3 days, 12:44:26 time: 0.3988 data_time: 0.0143 memory: 13431 grad_norm: 2.3527 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.2493 loss: 3.2493 2022/08/14 05:55:48 - mmengine - INFO - Epoch(train) [53][3600/3757] lr: 9.0160e-02 eta: 3 days, 12:43:47 time: 0.4003 data_time: 0.0151 memory: 13431 grad_norm: 2.3474 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0926 loss: 3.0926 2022/08/14 05:56:02 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 05:56:28 - mmengine - INFO - Epoch(train) [53][3700/3757] lr: 9.0160e-02 eta: 3 days, 12:43:08 time: 0.4059 data_time: 0.0156 memory: 13431 grad_norm: 2.3601 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0062 loss: 3.0062 2022/08/14 05:56:51 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 05:56:51 - mmengine - INFO - Epoch(train) [53][3757/3757] lr: 9.0160e-02 eta: 3 days, 12:42:52 time: 0.3876 data_time: 0.0137 memory: 13431 grad_norm: 2.4003 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 3.0205 loss: 3.0205 2022/08/14 05:57:33 - mmengine - INFO - Epoch(train) [54][100/3757] lr: 8.9792e-02 eta: 3 days, 12:41:47 time: 0.3969 data_time: 0.0153 memory: 13431 grad_norm: 2.3093 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7405 loss: 2.7405 2022/08/14 05:58:13 - mmengine - INFO - Epoch(train) [54][200/3757] lr: 8.9792e-02 eta: 3 days, 12:41:07 time: 0.4004 data_time: 0.0141 memory: 13431 grad_norm: 2.3521 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7085 loss: 2.7085 2022/08/14 05:58:53 - mmengine - INFO - Epoch(train) [54][300/3757] lr: 8.9792e-02 eta: 3 days, 12:40:26 time: 0.3976 data_time: 0.0145 memory: 13431 grad_norm: 2.3054 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8971 loss: 2.8971 2022/08/14 05:59:32 - mmengine - INFO - Epoch(train) [54][400/3757] lr: 8.9792e-02 eta: 3 days, 12:39:45 time: 0.3967 data_time: 0.0135 memory: 13431 grad_norm: 2.2912 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9689 loss: 2.9689 2022/08/14 06:00:16 - mmengine - INFO - Epoch(train) [54][500/3757] lr: 8.9792e-02 eta: 3 days, 12:39:20 time: 0.3980 data_time: 0.0142 memory: 13431 grad_norm: 2.2743 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.9040 loss: 2.9040 2022/08/14 06:00:57 - mmengine - INFO - Epoch(train) [54][600/3757] lr: 8.9792e-02 eta: 3 days, 12:38:41 time: 0.3976 data_time: 0.0132 memory: 13431 grad_norm: 2.2959 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1527 loss: 3.1527 2022/08/14 06:01:37 - mmengine - INFO - Epoch(train) [54][700/3757] lr: 8.9792e-02 eta: 3 days, 12:38:01 time: 0.3974 data_time: 0.0146 memory: 13431 grad_norm: 2.4040 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.1002 loss: 3.1002 2022/08/14 06:02:17 - mmengine - INFO - Epoch(train) [54][800/3757] lr: 8.9792e-02 eta: 3 days, 12:37:21 time: 0.3998 data_time: 0.0144 memory: 13431 grad_norm: 2.3449 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1222 loss: 3.1222 2022/08/14 06:02:48 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 06:02:57 - mmengine - INFO - Epoch(train) [54][900/3757] lr: 8.9792e-02 eta: 3 days, 12:36:40 time: 0.3989 data_time: 0.0157 memory: 13431 grad_norm: 2.3098 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8322 loss: 2.8322 2022/08/14 06:03:37 - mmengine - INFO - Epoch(train) [54][1000/3757] lr: 8.9792e-02 eta: 3 days, 12:36:00 time: 0.4001 data_time: 0.0144 memory: 13431 grad_norm: 2.3570 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.2302 loss: 3.2302 2022/08/14 06:04:16 - mmengine - INFO - Epoch(train) [54][1100/3757] lr: 8.9792e-02 eta: 3 days, 12:35:19 time: 0.3982 data_time: 0.0147 memory: 13431 grad_norm: 2.3187 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1174 loss: 3.1174 2022/08/14 06:04:57 - mmengine - INFO - Epoch(train) [54][1200/3757] lr: 8.9792e-02 eta: 3 days, 12:34:39 time: 0.4022 data_time: 0.0142 memory: 13431 grad_norm: 2.3596 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7921 loss: 2.7921 2022/08/14 06:05:37 - mmengine - INFO - Epoch(train) [54][1300/3757] lr: 8.9792e-02 eta: 3 days, 12:34:00 time: 0.3985 data_time: 0.0142 memory: 13431 grad_norm: 2.3721 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.8897 loss: 2.8897 2022/08/14 06:06:17 - mmengine - INFO - Epoch(train) [54][1400/3757] lr: 8.9792e-02 eta: 3 days, 12:33:19 time: 0.4003 data_time: 0.0136 memory: 13431 grad_norm: 2.4261 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0517 loss: 3.0517 2022/08/14 06:06:57 - mmengine - INFO - Epoch(train) [54][1500/3757] lr: 8.9792e-02 eta: 3 days, 12:32:39 time: 0.4005 data_time: 0.0146 memory: 13431 grad_norm: 2.3651 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9681 loss: 2.9681 2022/08/14 06:07:37 - mmengine - INFO - Epoch(train) [54][1600/3757] lr: 8.9792e-02 eta: 3 days, 12:31:59 time: 0.3993 data_time: 0.0148 memory: 13431 grad_norm: 2.4204 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6277 loss: 2.6277 2022/08/14 06:08:17 - mmengine - INFO - Epoch(train) [54][1700/3757] lr: 8.9792e-02 eta: 3 days, 12:31:19 time: 0.3972 data_time: 0.0138 memory: 13431 grad_norm: 2.4088 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.3815 loss: 3.3815 2022/08/14 06:08:57 - mmengine - INFO - Epoch(train) [54][1800/3757] lr: 8.9792e-02 eta: 3 days, 12:30:38 time: 0.3966 data_time: 0.0131 memory: 13431 grad_norm: 2.3765 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1686 loss: 3.1686 2022/08/14 06:09:28 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 06:09:37 - mmengine - INFO - Epoch(train) [54][1900/3757] lr: 8.9792e-02 eta: 3 days, 12:29:59 time: 0.4013 data_time: 0.0142 memory: 13431 grad_norm: 2.3390 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9522 loss: 2.9522 2022/08/14 06:10:17 - mmengine - INFO - Epoch(train) [54][2000/3757] lr: 8.9792e-02 eta: 3 days, 12:29:19 time: 0.3968 data_time: 0.0146 memory: 13431 grad_norm: 2.3895 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1437 loss: 3.1437 2022/08/14 06:10:57 - mmengine - INFO - Epoch(train) [54][2100/3757] lr: 8.9792e-02 eta: 3 days, 12:28:39 time: 0.3969 data_time: 0.0151 memory: 13431 grad_norm: 2.3427 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0540 loss: 3.0540 2022/08/14 06:11:37 - mmengine - INFO - Epoch(train) [54][2200/3757] lr: 8.9792e-02 eta: 3 days, 12:27:59 time: 0.3967 data_time: 0.0144 memory: 13431 grad_norm: 2.2978 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1507 loss: 3.1507 2022/08/14 06:12:17 - mmengine - INFO - Epoch(train) [54][2300/3757] lr: 8.9792e-02 eta: 3 days, 12:27:18 time: 0.3961 data_time: 0.0147 memory: 13431 grad_norm: 2.2768 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0700 loss: 3.0700 2022/08/14 06:12:57 - mmengine - INFO - Epoch(train) [54][2400/3757] lr: 8.9792e-02 eta: 3 days, 12:26:38 time: 0.3961 data_time: 0.0142 memory: 13431 grad_norm: 2.3970 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9420 loss: 2.9420 2022/08/14 06:13:37 - mmengine - INFO - Epoch(train) [54][2500/3757] lr: 8.9792e-02 eta: 3 days, 12:25:58 time: 0.3980 data_time: 0.0152 memory: 13431 grad_norm: 2.3465 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9846 loss: 2.9846 2022/08/14 06:14:17 - mmengine - INFO - Epoch(train) [54][2600/3757] lr: 8.9792e-02 eta: 3 days, 12:25:18 time: 0.3959 data_time: 0.0136 memory: 13431 grad_norm: 2.3776 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1379 loss: 3.1379 2022/08/14 06:14:57 - mmengine - INFO - Epoch(train) [54][2700/3757] lr: 8.9792e-02 eta: 3 days, 12:24:40 time: 0.4018 data_time: 0.0150 memory: 13431 grad_norm: 2.3466 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5289 loss: 2.5289 2022/08/14 06:15:37 - mmengine - INFO - Epoch(train) [54][2800/3757] lr: 8.9792e-02 eta: 3 days, 12:23:59 time: 0.3980 data_time: 0.0149 memory: 13431 grad_norm: 2.3288 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1578 loss: 3.1578 2022/08/14 06:16:09 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 06:16:17 - mmengine - INFO - Epoch(train) [54][2900/3757] lr: 8.9792e-02 eta: 3 days, 12:23:19 time: 0.3992 data_time: 0.0150 memory: 13431 grad_norm: 2.3594 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8913 loss: 2.8913 2022/08/14 06:16:57 - mmengine - INFO - Epoch(train) [54][3000/3757] lr: 8.9792e-02 eta: 3 days, 12:22:39 time: 0.3991 data_time: 0.0143 memory: 13431 grad_norm: 2.3089 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0351 loss: 3.0351 2022/08/14 06:17:37 - mmengine - INFO - Epoch(train) [54][3100/3757] lr: 8.9792e-02 eta: 3 days, 12:21:59 time: 0.3986 data_time: 0.0136 memory: 13431 grad_norm: 2.3903 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9880 loss: 2.9880 2022/08/14 06:18:17 - mmengine - INFO - Epoch(train) [54][3200/3757] lr: 8.9792e-02 eta: 3 days, 12:21:19 time: 0.4010 data_time: 0.0144 memory: 13431 grad_norm: 2.4642 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3545 loss: 3.3545 2022/08/14 06:18:57 - mmengine - INFO - Epoch(train) [54][3300/3757] lr: 8.9792e-02 eta: 3 days, 12:20:39 time: 0.3978 data_time: 0.0148 memory: 13431 grad_norm: 2.4151 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9700 loss: 2.9700 2022/08/14 06:19:38 - mmengine - INFO - Epoch(train) [54][3400/3757] lr: 8.9792e-02 eta: 3 days, 12:19:59 time: 0.3979 data_time: 0.0147 memory: 13431 grad_norm: 2.2632 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8786 loss: 2.8786 2022/08/14 06:20:18 - mmengine - INFO - Epoch(train) [54][3500/3757] lr: 8.9792e-02 eta: 3 days, 12:19:19 time: 0.3983 data_time: 0.0146 memory: 13431 grad_norm: 2.3162 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.2206 loss: 3.2206 2022/08/14 06:20:58 - mmengine - INFO - Epoch(train) [54][3600/3757] lr: 8.9792e-02 eta: 3 days, 12:18:39 time: 0.3969 data_time: 0.0161 memory: 13431 grad_norm: 2.3460 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1136 loss: 3.1136 2022/08/14 06:21:38 - mmengine - INFO - Epoch(train) [54][3700/3757] lr: 8.9792e-02 eta: 3 days, 12:17:59 time: 0.3965 data_time: 0.0140 memory: 13431 grad_norm: 2.2770 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8759 loss: 2.8759 2022/08/14 06:22:00 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 06:22:00 - mmengine - INFO - Epoch(train) [54][3757/3757] lr: 8.9792e-02 eta: 3 days, 12:17:43 time: 0.3871 data_time: 0.0134 memory: 13431 grad_norm: 2.4286 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 3.0327 loss: 3.0327 2022/08/14 06:22:43 - mmengine - INFO - Epoch(train) [55][100/3757] lr: 8.9417e-02 eta: 3 days, 12:16:39 time: 0.3989 data_time: 0.0145 memory: 13431 grad_norm: 2.3736 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0378 loss: 3.0378 2022/08/14 06:22:51 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 06:23:23 - mmengine - INFO - Epoch(train) [55][200/3757] lr: 8.9417e-02 eta: 3 days, 12:15:59 time: 0.3970 data_time: 0.0139 memory: 13431 grad_norm: 2.3234 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.3938 loss: 3.3938 2022/08/14 06:24:03 - mmengine - INFO - Epoch(train) [55][300/3757] lr: 8.9417e-02 eta: 3 days, 12:15:20 time: 0.3976 data_time: 0.0151 memory: 13431 grad_norm: 2.2940 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2520 loss: 3.2520 2022/08/14 06:24:43 - mmengine - INFO - Epoch(train) [55][400/3757] lr: 8.9417e-02 eta: 3 days, 12:14:40 time: 0.4048 data_time: 0.0144 memory: 13431 grad_norm: 2.2788 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9667 loss: 2.9667 2022/08/14 06:25:23 - mmengine - INFO - Epoch(train) [55][500/3757] lr: 8.9417e-02 eta: 3 days, 12:13:59 time: 0.3985 data_time: 0.0144 memory: 13431 grad_norm: 2.3907 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.9940 loss: 2.9940 2022/08/14 06:26:03 - mmengine - INFO - Epoch(train) [55][600/3757] lr: 8.9417e-02 eta: 3 days, 12:13:20 time: 0.4066 data_time: 0.0147 memory: 13431 grad_norm: 2.3660 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8220 loss: 2.8220 2022/08/14 06:26:43 - mmengine - INFO - Epoch(train) [55][700/3757] lr: 8.9417e-02 eta: 3 days, 12:12:39 time: 0.3970 data_time: 0.0140 memory: 13431 grad_norm: 2.4562 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8711 loss: 2.8711 2022/08/14 06:27:23 - mmengine - INFO - Epoch(train) [55][800/3757] lr: 8.9417e-02 eta: 3 days, 12:11:59 time: 0.3998 data_time: 0.0150 memory: 13431 grad_norm: 2.4329 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3312 loss: 3.3312 2022/08/14 06:28:03 - mmengine - INFO - Epoch(train) [55][900/3757] lr: 8.9417e-02 eta: 3 days, 12:11:19 time: 0.3985 data_time: 0.0141 memory: 13431 grad_norm: 2.3063 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1264 loss: 3.1264 2022/08/14 06:28:43 - mmengine - INFO - Epoch(train) [55][1000/3757] lr: 8.9417e-02 eta: 3 days, 12:10:40 time: 0.3988 data_time: 0.0146 memory: 13431 grad_norm: 2.4377 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0723 loss: 3.0723 2022/08/14 06:29:23 - mmengine - INFO - Epoch(train) [55][1100/3757] lr: 8.9417e-02 eta: 3 days, 12:10:00 time: 0.4043 data_time: 0.0140 memory: 13431 grad_norm: 2.3876 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.4772 loss: 3.4772 2022/08/14 06:29:32 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 06:30:03 - mmengine - INFO - Epoch(train) [55][1200/3757] lr: 8.9417e-02 eta: 3 days, 12:09:20 time: 0.3998 data_time: 0.0144 memory: 13431 grad_norm: 2.3639 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5756 loss: 2.5756 2022/08/14 06:30:43 - mmengine - INFO - Epoch(train) [55][1300/3757] lr: 8.9417e-02 eta: 3 days, 12:08:40 time: 0.3974 data_time: 0.0136 memory: 13431 grad_norm: 2.3950 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7651 loss: 2.7651 2022/08/14 06:31:23 - mmengine - INFO - Epoch(train) [55][1400/3757] lr: 8.9417e-02 eta: 3 days, 12:08:00 time: 0.3953 data_time: 0.0138 memory: 13431 grad_norm: 2.3178 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0563 loss: 3.0563 2022/08/14 06:32:03 - mmengine - INFO - Epoch(train) [55][1500/3757] lr: 8.9417e-02 eta: 3 days, 12:07:19 time: 0.3967 data_time: 0.0134 memory: 13431 grad_norm: 2.3724 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9997 loss: 2.9997 2022/08/14 06:32:43 - mmengine - INFO - Epoch(train) [55][1600/3757] lr: 8.9417e-02 eta: 3 days, 12:06:39 time: 0.3990 data_time: 0.0152 memory: 13431 grad_norm: 2.3643 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2013 loss: 3.2013 2022/08/14 06:33:24 - mmengine - INFO - Epoch(train) [55][1700/3757] lr: 8.9417e-02 eta: 3 days, 12:06:00 time: 0.4030 data_time: 0.0148 memory: 13431 grad_norm: 2.3731 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9126 loss: 2.9126 2022/08/14 06:34:04 - mmengine - INFO - Epoch(train) [55][1800/3757] lr: 8.9417e-02 eta: 3 days, 12:05:20 time: 0.4037 data_time: 0.0143 memory: 13431 grad_norm: 2.3783 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9823 loss: 2.9823 2022/08/14 06:34:44 - mmengine - INFO - Epoch(train) [55][1900/3757] lr: 8.9417e-02 eta: 3 days, 12:04:39 time: 0.3990 data_time: 0.0143 memory: 13431 grad_norm: 2.3307 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1466 loss: 3.1466 2022/08/14 06:35:24 - mmengine - INFO - Epoch(train) [55][2000/3757] lr: 8.9417e-02 eta: 3 days, 12:03:59 time: 0.3964 data_time: 0.0141 memory: 13431 grad_norm: 2.2867 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8142 loss: 2.8142 2022/08/14 06:36:04 - mmengine - INFO - Epoch(train) [55][2100/3757] lr: 8.9417e-02 eta: 3 days, 12:03:19 time: 0.3990 data_time: 0.0150 memory: 13431 grad_norm: 2.3602 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1555 loss: 3.1555 2022/08/14 06:36:12 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 06:36:43 - mmengine - INFO - Epoch(train) [55][2200/3757] lr: 8.9417e-02 eta: 3 days, 12:02:39 time: 0.3992 data_time: 0.0146 memory: 13431 grad_norm: 2.4651 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9181 loss: 2.9181 2022/08/14 06:37:23 - mmengine - INFO - Epoch(train) [55][2300/3757] lr: 8.9417e-02 eta: 3 days, 12:01:58 time: 0.3975 data_time: 0.0139 memory: 13431 grad_norm: 2.4095 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.0026 loss: 3.0026 2022/08/14 06:38:04 - mmengine - INFO - Epoch(train) [55][2400/3757] lr: 8.9417e-02 eta: 3 days, 12:01:19 time: 0.4017 data_time: 0.0158 memory: 13431 grad_norm: 2.3004 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2553 loss: 3.2553 2022/08/14 06:38:44 - mmengine - INFO - Epoch(train) [55][2500/3757] lr: 8.9417e-02 eta: 3 days, 12:00:38 time: 0.3980 data_time: 0.0146 memory: 13431 grad_norm: 2.4346 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0820 loss: 3.0820 2022/08/14 06:39:24 - mmengine - INFO - Epoch(train) [55][2600/3757] lr: 8.9417e-02 eta: 3 days, 11:59:58 time: 0.3996 data_time: 0.0148 memory: 13431 grad_norm: 2.3244 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0729 loss: 3.0729 2022/08/14 06:40:04 - mmengine - INFO - Epoch(train) [55][2700/3757] lr: 8.9417e-02 eta: 3 days, 11:59:18 time: 0.4013 data_time: 0.0153 memory: 13431 grad_norm: 2.3908 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6984 loss: 2.6984 2022/08/14 06:40:44 - mmengine - INFO - Epoch(train) [55][2800/3757] lr: 8.9417e-02 eta: 3 days, 11:58:38 time: 0.3975 data_time: 0.0161 memory: 13431 grad_norm: 2.3312 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8774 loss: 2.8774 2022/08/14 06:41:24 - mmengine - INFO - Epoch(train) [55][2900/3757] lr: 8.9417e-02 eta: 3 days, 11:57:58 time: 0.3997 data_time: 0.0142 memory: 13431 grad_norm: 2.2861 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8736 loss: 2.8736 2022/08/14 06:42:04 - mmengine - INFO - Epoch(train) [55][3000/3757] lr: 8.9417e-02 eta: 3 days, 11:57:18 time: 0.3968 data_time: 0.0142 memory: 13431 grad_norm: 2.3848 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.9574 loss: 2.9574 2022/08/14 06:42:44 - mmengine - INFO - Epoch(train) [55][3100/3757] lr: 8.9417e-02 eta: 3 days, 11:56:39 time: 0.3993 data_time: 0.0143 memory: 13431 grad_norm: 2.4060 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.1684 loss: 3.1684 2022/08/14 06:42:53 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 06:43:24 - mmengine - INFO - Epoch(train) [55][3200/3757] lr: 8.9417e-02 eta: 3 days, 11:55:59 time: 0.4028 data_time: 0.0137 memory: 13431 grad_norm: 2.3922 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7077 loss: 2.7077 2022/08/14 06:44:04 - mmengine - INFO - Epoch(train) [55][3300/3757] lr: 8.9417e-02 eta: 3 days, 11:55:18 time: 0.3993 data_time: 0.0156 memory: 13431 grad_norm: 2.3376 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9696 loss: 2.9696 2022/08/14 06:44:44 - mmengine - INFO - Epoch(train) [55][3400/3757] lr: 8.9417e-02 eta: 3 days, 11:54:38 time: 0.3993 data_time: 0.0158 memory: 13431 grad_norm: 2.4226 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.5534 loss: 2.5534 2022/08/14 06:45:24 - mmengine - INFO - Epoch(train) [55][3500/3757] lr: 8.9417e-02 eta: 3 days, 11:53:58 time: 0.3964 data_time: 0.0143 memory: 13431 grad_norm: 2.3085 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9509 loss: 2.9509 2022/08/14 06:46:04 - mmengine - INFO - Epoch(train) [55][3600/3757] lr: 8.9417e-02 eta: 3 days, 11:53:18 time: 0.4037 data_time: 0.0145 memory: 13431 grad_norm: 2.3174 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9570 loss: 2.9570 2022/08/14 06:46:44 - mmengine - INFO - Epoch(train) [55][3700/3757] lr: 8.9417e-02 eta: 3 days, 11:52:38 time: 0.3978 data_time: 0.0146 memory: 13431 grad_norm: 2.3908 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0021 loss: 3.0021 2022/08/14 06:47:07 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 06:47:07 - mmengine - INFO - Epoch(train) [55][3757/3757] lr: 8.9417e-02 eta: 3 days, 11:52:22 time: 0.3959 data_time: 0.0136 memory: 13431 grad_norm: 2.4465 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 2.8848 loss: 2.8848 2022/08/14 06:47:29 - mmengine - INFO - Epoch(val) [55][100/310] eta: 0:00:50 time: 0.2409 data_time: 0.1129 memory: 1974 2022/08/14 06:47:50 - mmengine - INFO - Epoch(val) [55][200/310] eta: 0:00:20 time: 0.1861 data_time: 0.0586 memory: 1974 2022/08/14 06:48:11 - mmengine - INFO - Epoch(val) [55][300/310] eta: 0:00:02 time: 0.2027 data_time: 0.0735 memory: 1974 2022/08/14 06:48:15 - mmengine - INFO - Epoch(val) [55][310/310] acc/top1: 0.4146 acc/top5: 0.6907 acc/mean1: 0.4144 2022/08/14 06:48:15 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_51.pth is removed 2022/08/14 06:48:19 - mmengine - INFO - The best checkpoint with 0.4146 acc/top1 at 56 epoch is saved to best_acc/top1_epoch_56.pth. 2022/08/14 06:49:00 - mmengine - INFO - Epoch(train) [56][100/3757] lr: 8.9037e-02 eta: 3 days, 11:51:14 time: 0.3969 data_time: 0.0146 memory: 13431 grad_norm: 2.3562 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8405 loss: 2.8405 2022/08/14 06:49:40 - mmengine - INFO - Epoch(train) [56][200/3757] lr: 8.9037e-02 eta: 3 days, 11:50:34 time: 0.4058 data_time: 0.0136 memory: 13431 grad_norm: 2.3818 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1710 loss: 3.1710 2022/08/14 06:50:20 - mmengine - INFO - Epoch(train) [56][300/3757] lr: 8.9037e-02 eta: 3 days, 11:49:53 time: 0.3962 data_time: 0.0148 memory: 13431 grad_norm: 2.3052 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8296 loss: 2.8296 2022/08/14 06:50:46 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 06:51:00 - mmengine - INFO - Epoch(train) [56][400/3757] lr: 8.9037e-02 eta: 3 days, 11:49:13 time: 0.3962 data_time: 0.0140 memory: 13431 grad_norm: 2.3908 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0610 loss: 3.0610 2022/08/14 06:51:40 - mmengine - INFO - Epoch(train) [56][500/3757] lr: 8.9037e-02 eta: 3 days, 11:48:33 time: 0.3975 data_time: 0.0141 memory: 13431 grad_norm: 2.4752 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.1081 loss: 3.1081 2022/08/14 06:52:20 - mmengine - INFO - Epoch(train) [56][600/3757] lr: 8.9037e-02 eta: 3 days, 11:47:54 time: 0.4059 data_time: 0.0152 memory: 13431 grad_norm: 2.3425 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.7743 loss: 2.7743 2022/08/14 06:53:00 - mmengine - INFO - Epoch(train) [56][700/3757] lr: 8.9037e-02 eta: 3 days, 11:47:14 time: 0.3987 data_time: 0.0147 memory: 13431 grad_norm: 2.2927 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.0795 loss: 3.0795 2022/08/14 06:53:40 - mmengine - INFO - Epoch(train) [56][800/3757] lr: 8.9037e-02 eta: 3 days, 11:46:34 time: 0.3990 data_time: 0.0143 memory: 13431 grad_norm: 2.2907 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6553 loss: 2.6553 2022/08/14 06:54:20 - mmengine - INFO - Epoch(train) [56][900/3757] lr: 8.9037e-02 eta: 3 days, 11:45:54 time: 0.4018 data_time: 0.0139 memory: 13431 grad_norm: 2.4246 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.9638 loss: 2.9638 2022/08/14 06:55:00 - mmengine - INFO - Epoch(train) [56][1000/3757] lr: 8.9037e-02 eta: 3 days, 11:45:13 time: 0.3968 data_time: 0.0137 memory: 13431 grad_norm: 2.3734 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8738 loss: 2.8738 2022/08/14 06:55:40 - mmengine - INFO - Epoch(train) [56][1100/3757] lr: 8.9037e-02 eta: 3 days, 11:44:33 time: 0.3969 data_time: 0.0134 memory: 13431 grad_norm: 2.3810 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.1394 loss: 3.1394 2022/08/14 06:56:20 - mmengine - INFO - Epoch(train) [56][1200/3757] lr: 8.9037e-02 eta: 3 days, 11:43:53 time: 0.3971 data_time: 0.0148 memory: 13431 grad_norm: 2.3894 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9967 loss: 2.9967 2022/08/14 06:57:00 - mmengine - INFO - Epoch(train) [56][1300/3757] lr: 8.9037e-02 eta: 3 days, 11:43:14 time: 0.4036 data_time: 0.0138 memory: 13431 grad_norm: 2.3504 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0986 loss: 3.0986 2022/08/14 06:57:26 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 06:57:40 - mmengine - INFO - Epoch(train) [56][1400/3757] lr: 8.9037e-02 eta: 3 days, 11:42:34 time: 0.3969 data_time: 0.0159 memory: 13431 grad_norm: 2.3690 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.9554 loss: 2.9554 2022/08/14 06:58:21 - mmengine - INFO - Epoch(train) [56][1500/3757] lr: 8.9037e-02 eta: 3 days, 11:41:54 time: 0.3965 data_time: 0.0138 memory: 13431 grad_norm: 2.3023 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9487 loss: 2.9487 2022/08/14 06:59:01 - mmengine - INFO - Epoch(train) [56][1600/3757] lr: 8.9037e-02 eta: 3 days, 11:41:15 time: 0.4001 data_time: 0.0135 memory: 13431 grad_norm: 2.3919 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1239 loss: 3.1239 2022/08/14 06:59:41 - mmengine - INFO - Epoch(train) [56][1700/3757] lr: 8.9037e-02 eta: 3 days, 11:40:35 time: 0.3977 data_time: 0.0144 memory: 13431 grad_norm: 2.3179 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9324 loss: 2.9324 2022/08/14 07:00:21 - mmengine - INFO - Epoch(train) [56][1800/3757] lr: 8.9037e-02 eta: 3 days, 11:39:54 time: 0.3956 data_time: 0.0137 memory: 13431 grad_norm: 2.3365 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.9164 loss: 2.9164 2022/08/14 07:01:01 - mmengine - INFO - Epoch(train) [56][1900/3757] lr: 8.9037e-02 eta: 3 days, 11:39:14 time: 0.3976 data_time: 0.0151 memory: 13431 grad_norm: 2.3683 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1201 loss: 3.1201 2022/08/14 07:01:41 - mmengine - INFO - Epoch(train) [56][2000/3757] lr: 8.9037e-02 eta: 3 days, 11:38:34 time: 0.4020 data_time: 0.0140 memory: 13431 grad_norm: 2.2741 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8163 loss: 2.8163 2022/08/14 07:02:21 - mmengine - INFO - Epoch(train) [56][2100/3757] lr: 8.9037e-02 eta: 3 days, 11:37:55 time: 0.3950 data_time: 0.0140 memory: 13431 grad_norm: 2.3809 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0337 loss: 3.0337 2022/08/14 07:03:01 - mmengine - INFO - Epoch(train) [56][2200/3757] lr: 8.9037e-02 eta: 3 days, 11:37:15 time: 0.3981 data_time: 0.0135 memory: 13431 grad_norm: 2.4194 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9319 loss: 2.9319 2022/08/14 07:03:41 - mmengine - INFO - Epoch(train) [56][2300/3757] lr: 8.9037e-02 eta: 3 days, 11:36:35 time: 0.4033 data_time: 0.0136 memory: 13431 grad_norm: 2.2406 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4366 loss: 3.4366 2022/08/14 07:04:07 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 07:04:21 - mmengine - INFO - Epoch(train) [56][2400/3757] lr: 8.9037e-02 eta: 3 days, 11:35:55 time: 0.3969 data_time: 0.0139 memory: 13431 grad_norm: 2.3574 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7159 loss: 2.7159 2022/08/14 07:05:01 - mmengine - INFO - Epoch(train) [56][2500/3757] lr: 8.9037e-02 eta: 3 days, 11:35:15 time: 0.3971 data_time: 0.0148 memory: 13431 grad_norm: 2.3055 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0229 loss: 3.0229 2022/08/14 07:05:41 - mmengine - INFO - Epoch(train) [56][2600/3757] lr: 8.9037e-02 eta: 3 days, 11:34:35 time: 0.3970 data_time: 0.0148 memory: 13431 grad_norm: 2.3577 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9134 loss: 2.9134 2022/08/14 07:06:21 - mmengine - INFO - Epoch(train) [56][2700/3757] lr: 8.9037e-02 eta: 3 days, 11:33:56 time: 0.4017 data_time: 0.0140 memory: 13431 grad_norm: 2.3477 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9311 loss: 2.9311 2022/08/14 07:07:01 - mmengine - INFO - Epoch(train) [56][2800/3757] lr: 8.9037e-02 eta: 3 days, 11:33:15 time: 0.3961 data_time: 0.0141 memory: 13431 grad_norm: 2.3564 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.2082 loss: 3.2082 2022/08/14 07:07:41 - mmengine - INFO - Epoch(train) [56][2900/3757] lr: 8.9037e-02 eta: 3 days, 11:32:35 time: 0.3964 data_time: 0.0136 memory: 13431 grad_norm: 2.3173 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7808 loss: 2.7808 2022/08/14 07:08:22 - mmengine - INFO - Epoch(train) [56][3000/3757] lr: 8.9037e-02 eta: 3 days, 11:31:56 time: 0.4048 data_time: 0.0147 memory: 13431 grad_norm: 2.3830 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2282 loss: 3.2282 2022/08/14 07:09:02 - mmengine - INFO - Epoch(train) [56][3100/3757] lr: 8.9037e-02 eta: 3 days, 11:31:16 time: 0.3979 data_time: 0.0137 memory: 13431 grad_norm: 2.3999 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2483 loss: 3.2483 2022/08/14 07:09:41 - mmengine - INFO - Epoch(train) [56][3200/3757] lr: 8.9037e-02 eta: 3 days, 11:30:35 time: 0.3945 data_time: 0.0138 memory: 13431 grad_norm: 2.3754 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0388 loss: 3.0388 2022/08/14 07:10:21 - mmengine - INFO - Epoch(train) [56][3300/3757] lr: 8.9037e-02 eta: 3 days, 11:29:55 time: 0.3963 data_time: 0.0137 memory: 13431 grad_norm: 2.3313 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1471 loss: 3.1471 2022/08/14 07:10:48 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 07:11:02 - mmengine - INFO - Epoch(train) [56][3400/3757] lr: 8.9037e-02 eta: 3 days, 11:29:15 time: 0.4034 data_time: 0.0135 memory: 13431 grad_norm: 2.3966 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0449 loss: 3.0449 2022/08/14 07:11:42 - mmengine - INFO - Epoch(train) [56][3500/3757] lr: 8.9037e-02 eta: 3 days, 11:28:36 time: 0.3964 data_time: 0.0160 memory: 13431 grad_norm: 2.3209 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.9624 loss: 2.9624 2022/08/14 07:12:22 - mmengine - INFO - Epoch(train) [56][3600/3757] lr: 8.9037e-02 eta: 3 days, 11:27:56 time: 0.3964 data_time: 0.0134 memory: 13431 grad_norm: 2.3515 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1325 loss: 3.1325 2022/08/14 07:13:02 - mmengine - INFO - Epoch(train) [56][3700/3757] lr: 8.9037e-02 eta: 3 days, 11:27:16 time: 0.4026 data_time: 0.0147 memory: 13431 grad_norm: 2.4024 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1587 loss: 3.1587 2022/08/14 07:13:25 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 07:13:25 - mmengine - INFO - Epoch(train) [56][3757/3757] lr: 8.9037e-02 eta: 3 days, 11:27:00 time: 0.3835 data_time: 0.0136 memory: 13431 grad_norm: 2.2913 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.7601 loss: 2.7601 2022/08/14 07:13:25 - mmengine - INFO - Saving checkpoint at 56 epochs 2022/08/14 07:14:10 - mmengine - INFO - Epoch(train) [57][100/3757] lr: 8.8651e-02 eta: 3 days, 11:25:52 time: 0.3983 data_time: 0.0142 memory: 13431 grad_norm: 2.3477 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8729 loss: 2.8729 2022/08/14 07:14:51 - mmengine - INFO - Epoch(train) [57][200/3757] lr: 8.8651e-02 eta: 3 days, 11:25:12 time: 0.3982 data_time: 0.0149 memory: 13431 grad_norm: 2.3765 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9814 loss: 2.9814 2022/08/14 07:15:31 - mmengine - INFO - Epoch(train) [57][300/3757] lr: 8.8651e-02 eta: 3 days, 11:24:33 time: 0.3974 data_time: 0.0140 memory: 13431 grad_norm: 2.3590 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.8573 loss: 2.8573 2022/08/14 07:16:11 - mmengine - INFO - Epoch(train) [57][400/3757] lr: 8.8651e-02 eta: 3 days, 11:23:54 time: 0.4013 data_time: 0.0132 memory: 13431 grad_norm: 2.3146 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8705 loss: 2.8705 2022/08/14 07:16:51 - mmengine - INFO - Epoch(train) [57][500/3757] lr: 8.8651e-02 eta: 3 days, 11:23:14 time: 0.3969 data_time: 0.0142 memory: 13431 grad_norm: 2.3880 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.1947 loss: 3.1947 2022/08/14 07:17:31 - mmengine - INFO - Epoch(train) [57][600/3757] lr: 8.8651e-02 eta: 3 days, 11:22:34 time: 0.3993 data_time: 0.0137 memory: 13431 grad_norm: 2.3257 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0749 loss: 3.0749 2022/08/14 07:17:35 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 07:18:11 - mmengine - INFO - Epoch(train) [57][700/3757] lr: 8.8651e-02 eta: 3 days, 11:21:54 time: 0.3966 data_time: 0.0143 memory: 13431 grad_norm: 2.4336 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9960 loss: 2.9960 2022/08/14 07:18:51 - mmengine - INFO - Epoch(train) [57][800/3757] lr: 8.8651e-02 eta: 3 days, 11:21:14 time: 0.3978 data_time: 0.0141 memory: 13431 grad_norm: 2.4569 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1582 loss: 3.1582 2022/08/14 07:19:31 - mmengine - INFO - Epoch(train) [57][900/3757] lr: 8.8651e-02 eta: 3 days, 11:20:34 time: 0.3964 data_time: 0.0141 memory: 13431 grad_norm: 2.3303 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9828 loss: 2.9828 2022/08/14 07:20:11 - mmengine - INFO - Epoch(train) [57][1000/3757] lr: 8.8651e-02 eta: 3 days, 11:19:54 time: 0.3971 data_time: 0.0139 memory: 13431 grad_norm: 2.4029 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8989 loss: 2.8989 2022/08/14 07:20:52 - mmengine - INFO - Epoch(train) [57][1100/3757] lr: 8.8651e-02 eta: 3 days, 11:19:15 time: 0.3997 data_time: 0.0138 memory: 13431 grad_norm: 2.3717 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0317 loss: 3.0317 2022/08/14 07:21:32 - mmengine - INFO - Epoch(train) [57][1200/3757] lr: 8.8651e-02 eta: 3 days, 11:18:36 time: 0.3973 data_time: 0.0144 memory: 13431 grad_norm: 2.3750 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9590 loss: 2.9590 2022/08/14 07:22:12 - mmengine - INFO - Epoch(train) [57][1300/3757] lr: 8.8651e-02 eta: 3 days, 11:17:56 time: 0.3958 data_time: 0.0140 memory: 13431 grad_norm: 2.4208 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2252 loss: 3.2252 2022/08/14 07:22:52 - mmengine - INFO - Epoch(train) [57][1400/3757] lr: 8.8651e-02 eta: 3 days, 11:17:16 time: 0.3962 data_time: 0.0143 memory: 13431 grad_norm: 2.2955 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6604 loss: 2.6604 2022/08/14 07:23:32 - mmengine - INFO - Epoch(train) [57][1500/3757] lr: 8.8651e-02 eta: 3 days, 11:16:36 time: 0.3997 data_time: 0.0148 memory: 13431 grad_norm: 2.3190 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8152 loss: 2.8152 2022/08/14 07:24:12 - mmengine - INFO - Epoch(train) [57][1600/3757] lr: 8.8651e-02 eta: 3 days, 11:15:56 time: 0.3976 data_time: 0.0158 memory: 13431 grad_norm: 2.3724 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0778 loss: 3.0778 2022/08/14 07:24:15 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 07:24:52 - mmengine - INFO - Epoch(train) [57][1700/3757] lr: 8.8651e-02 eta: 3 days, 11:15:16 time: 0.4076 data_time: 0.0141 memory: 13431 grad_norm: 2.3923 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9655 loss: 2.9655 2022/08/14 07:25:32 - mmengine - INFO - Epoch(train) [57][1800/3757] lr: 8.8651e-02 eta: 3 days, 11:14:37 time: 0.3997 data_time: 0.0135 memory: 13431 grad_norm: 2.3448 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0557 loss: 3.0557 2022/08/14 07:26:13 - mmengine - INFO - Epoch(train) [57][1900/3757] lr: 8.8651e-02 eta: 3 days, 11:13:57 time: 0.3983 data_time: 0.0143 memory: 13431 grad_norm: 2.3444 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.1966 loss: 3.1966 2022/08/14 07:26:53 - mmengine - INFO - Epoch(train) [57][2000/3757] lr: 8.8651e-02 eta: 3 days, 11:13:17 time: 0.3973 data_time: 0.0136 memory: 13431 grad_norm: 2.3507 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7396 loss: 2.7396 2022/08/14 07:27:33 - mmengine - INFO - Epoch(train) [57][2100/3757] lr: 8.8651e-02 eta: 3 days, 11:12:38 time: 0.3968 data_time: 0.0146 memory: 13431 grad_norm: 2.3293 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8464 loss: 2.8464 2022/08/14 07:28:13 - mmengine - INFO - Epoch(train) [57][2200/3757] lr: 8.8651e-02 eta: 3 days, 11:11:58 time: 0.3988 data_time: 0.0136 memory: 13431 grad_norm: 2.3671 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0917 loss: 3.0917 2022/08/14 07:28:53 - mmengine - INFO - Epoch(train) [57][2300/3757] lr: 8.8651e-02 eta: 3 days, 11:11:18 time: 0.3993 data_time: 0.0150 memory: 13431 grad_norm: 2.3001 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.1026 loss: 3.1026 2022/08/14 07:29:33 - mmengine - INFO - Epoch(train) [57][2400/3757] lr: 8.8651e-02 eta: 3 days, 11:10:37 time: 0.3966 data_time: 0.0144 memory: 13431 grad_norm: 2.4958 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6026 loss: 2.6026 2022/08/14 07:30:13 - mmengine - INFO - Epoch(train) [57][2500/3757] lr: 8.8651e-02 eta: 3 days, 11:09:58 time: 0.3961 data_time: 0.0138 memory: 13431 grad_norm: 2.3989 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9394 loss: 2.9394 2022/08/14 07:30:53 - mmengine - INFO - Epoch(train) [57][2600/3757] lr: 8.8651e-02 eta: 3 days, 11:09:18 time: 0.3951 data_time: 0.0136 memory: 13431 grad_norm: 2.4781 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8298 loss: 2.8298 2022/08/14 07:30:57 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 07:31:33 - mmengine - INFO - Epoch(train) [57][2700/3757] lr: 8.8651e-02 eta: 3 days, 11:08:38 time: 0.3973 data_time: 0.0140 memory: 13431 grad_norm: 2.4482 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2479 loss: 3.2479 2022/08/14 07:32:13 - mmengine - INFO - Epoch(train) [57][2800/3757] lr: 8.8651e-02 eta: 3 days, 11:07:58 time: 0.3968 data_time: 0.0137 memory: 13431 grad_norm: 2.3746 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8656 loss: 2.8656 2022/08/14 07:32:53 - mmengine - INFO - Epoch(train) [57][2900/3757] lr: 8.8651e-02 eta: 3 days, 11:07:18 time: 0.3986 data_time: 0.0148 memory: 13431 grad_norm: 2.3848 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3728 loss: 3.3728 2022/08/14 07:33:33 - mmengine - INFO - Epoch(train) [57][3000/3757] lr: 8.8651e-02 eta: 3 days, 11:06:37 time: 0.3974 data_time: 0.0138 memory: 13431 grad_norm: 2.2986 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9994 loss: 2.9994 2022/08/14 07:34:13 - mmengine - INFO - Epoch(train) [57][3100/3757] lr: 8.8651e-02 eta: 3 days, 11:05:58 time: 0.3977 data_time: 0.0142 memory: 13431 grad_norm: 2.3994 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7814 loss: 2.7814 2022/08/14 07:34:54 - mmengine - INFO - Epoch(train) [57][3200/3757] lr: 8.8651e-02 eta: 3 days, 11:05:19 time: 0.3976 data_time: 0.0146 memory: 13431 grad_norm: 2.3854 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9485 loss: 2.9485 2022/08/14 07:35:34 - mmengine - INFO - Epoch(train) [57][3300/3757] lr: 8.8651e-02 eta: 3 days, 11:04:39 time: 0.3971 data_time: 0.0149 memory: 13431 grad_norm: 2.4122 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9023 loss: 2.9023 2022/08/14 07:36:14 - mmengine - INFO - Epoch(train) [57][3400/3757] lr: 8.8651e-02 eta: 3 days, 11:03:59 time: 0.3956 data_time: 0.0144 memory: 13431 grad_norm: 2.4006 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1414 loss: 3.1414 2022/08/14 07:36:54 - mmengine - INFO - Epoch(train) [57][3500/3757] lr: 8.8651e-02 eta: 3 days, 11:03:20 time: 0.3974 data_time: 0.0143 memory: 13431 grad_norm: 2.2932 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 3.1469 loss: 3.1469 2022/08/14 07:37:34 - mmengine - INFO - Epoch(train) [57][3600/3757] lr: 8.8651e-02 eta: 3 days, 11:02:40 time: 0.3956 data_time: 0.0141 memory: 13431 grad_norm: 2.4032 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8754 loss: 2.8754 2022/08/14 07:37:37 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 07:38:14 - mmengine - INFO - Epoch(train) [57][3700/3757] lr: 8.8651e-02 eta: 3 days, 11:01:59 time: 0.3956 data_time: 0.0141 memory: 13431 grad_norm: 2.3496 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9897 loss: 2.9897 2022/08/14 07:38:37 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 07:38:37 - mmengine - INFO - Epoch(train) [57][3757/3757] lr: 8.8651e-02 eta: 3 days, 11:01:43 time: 0.3843 data_time: 0.0146 memory: 13431 grad_norm: 2.4091 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 3.0161 loss: 3.0161 2022/08/14 07:39:19 - mmengine - INFO - Epoch(train) [58][100/3757] lr: 8.8258e-02 eta: 3 days, 11:00:42 time: 0.4006 data_time: 0.0161 memory: 13431 grad_norm: 2.3277 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8855 loss: 2.8855 2022/08/14 07:39:59 - mmengine - INFO - Epoch(train) [58][200/3757] lr: 8.8258e-02 eta: 3 days, 11:00:02 time: 0.3987 data_time: 0.0147 memory: 13431 grad_norm: 2.4581 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9800 loss: 2.9800 2022/08/14 07:40:40 - mmengine - INFO - Epoch(train) [58][300/3757] lr: 8.8258e-02 eta: 3 days, 10:59:22 time: 0.3990 data_time: 0.0143 memory: 13431 grad_norm: 2.3394 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9841 loss: 2.9841 2022/08/14 07:41:20 - mmengine - INFO - Epoch(train) [58][400/3757] lr: 8.8258e-02 eta: 3 days, 10:58:42 time: 0.3988 data_time: 0.0140 memory: 13431 grad_norm: 2.3552 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1476 loss: 3.1476 2022/08/14 07:41:59 - mmengine - INFO - Epoch(train) [58][500/3757] lr: 8.8258e-02 eta: 3 days, 10:58:02 time: 0.3979 data_time: 0.0149 memory: 13431 grad_norm: 2.3760 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.9676 loss: 2.9676 2022/08/14 07:42:40 - mmengine - INFO - Epoch(train) [58][600/3757] lr: 8.8258e-02 eta: 3 days, 10:57:22 time: 0.4020 data_time: 0.0148 memory: 13431 grad_norm: 2.3372 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7921 loss: 2.7921 2022/08/14 07:43:19 - mmengine - INFO - Epoch(train) [58][700/3757] lr: 8.8258e-02 eta: 3 days, 10:56:42 time: 0.3977 data_time: 0.0142 memory: 13431 grad_norm: 2.4482 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8635 loss: 2.8635 2022/08/14 07:44:00 - mmengine - INFO - Epoch(train) [58][800/3757] lr: 8.8258e-02 eta: 3 days, 10:56:02 time: 0.4022 data_time: 0.0148 memory: 13431 grad_norm: 2.4377 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8334 loss: 2.8334 2022/08/14 07:44:20 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 07:44:40 - mmengine - INFO - Epoch(train) [58][900/3757] lr: 8.8258e-02 eta: 3 days, 10:55:23 time: 0.3995 data_time: 0.0146 memory: 13431 grad_norm: 2.3646 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1272 loss: 3.1272 2022/08/14 07:45:20 - mmengine - INFO - Epoch(train) [58][1000/3757] lr: 8.8258e-02 eta: 3 days, 10:54:43 time: 0.4035 data_time: 0.0144 memory: 13431 grad_norm: 2.3844 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7775 loss: 2.7775 2022/08/14 07:46:00 - mmengine - INFO - Epoch(train) [58][1100/3757] lr: 8.8258e-02 eta: 3 days, 10:54:03 time: 0.3993 data_time: 0.0148 memory: 13431 grad_norm: 2.4689 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1616 loss: 3.1616 2022/08/14 07:46:40 - mmengine - INFO - Epoch(train) [58][1200/3757] lr: 8.8258e-02 eta: 3 days, 10:53:23 time: 0.4038 data_time: 0.0145 memory: 13431 grad_norm: 2.2972 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2010 loss: 3.2010 2022/08/14 07:47:20 - mmengine - INFO - Epoch(train) [58][1300/3757] lr: 8.8258e-02 eta: 3 days, 10:52:43 time: 0.3977 data_time: 0.0144 memory: 13431 grad_norm: 2.3157 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8831 loss: 2.8831 2022/08/14 07:48:00 - mmengine - INFO - Epoch(train) [58][1400/3757] lr: 8.8258e-02 eta: 3 days, 10:52:03 time: 0.4046 data_time: 0.0153 memory: 13431 grad_norm: 2.4131 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8559 loss: 2.8559 2022/08/14 07:48:40 - mmengine - INFO - Epoch(train) [58][1500/3757] lr: 8.8258e-02 eta: 3 days, 10:51:24 time: 0.4046 data_time: 0.0138 memory: 13431 grad_norm: 2.3954 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.7032 loss: 2.7032 2022/08/14 07:49:21 - mmengine - INFO - Epoch(train) [58][1600/3757] lr: 8.8258e-02 eta: 3 days, 10:50:44 time: 0.4001 data_time: 0.0141 memory: 13431 grad_norm: 2.3406 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9762 loss: 2.9762 2022/08/14 07:50:01 - mmengine - INFO - Epoch(train) [58][1700/3757] lr: 8.8258e-02 eta: 3 days, 10:50:05 time: 0.4024 data_time: 0.0148 memory: 13431 grad_norm: 2.3957 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.9387 loss: 2.9387 2022/08/14 07:50:41 - mmengine - INFO - Epoch(train) [58][1800/3757] lr: 8.8258e-02 eta: 3 days, 10:49:25 time: 0.4005 data_time: 0.0156 memory: 13431 grad_norm: 2.4141 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1525 loss: 3.1525 2022/08/14 07:51:01 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 07:51:21 - mmengine - INFO - Epoch(train) [58][1900/3757] lr: 8.8258e-02 eta: 3 days, 10:48:45 time: 0.3968 data_time: 0.0136 memory: 13431 grad_norm: 2.3558 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0874 loss: 3.0874 2022/08/14 07:52:01 - mmengine - INFO - Epoch(train) [58][2000/3757] lr: 8.8258e-02 eta: 3 days, 10:48:05 time: 0.3993 data_time: 0.0146 memory: 13431 grad_norm: 2.2988 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8763 loss: 2.8763 2022/08/14 07:52:41 - mmengine - INFO - Epoch(train) [58][2100/3757] lr: 8.8258e-02 eta: 3 days, 10:47:25 time: 0.3990 data_time: 0.0149 memory: 13431 grad_norm: 2.4553 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7184 loss: 2.7184 2022/08/14 07:53:21 - mmengine - INFO - Epoch(train) [58][2200/3757] lr: 8.8258e-02 eta: 3 days, 10:46:45 time: 0.4001 data_time: 0.0153 memory: 13431 grad_norm: 2.3606 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0690 loss: 3.0690 2022/08/14 07:54:01 - mmengine - INFO - Epoch(train) [58][2300/3757] lr: 8.8258e-02 eta: 3 days, 10:46:05 time: 0.3973 data_time: 0.0150 memory: 13431 grad_norm: 2.3252 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8467 loss: 2.8467 2022/08/14 07:54:41 - mmengine - INFO - Epoch(train) [58][2400/3757] lr: 8.8258e-02 eta: 3 days, 10:45:26 time: 0.4019 data_time: 0.0142 memory: 13431 grad_norm: 2.3470 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1884 loss: 3.1884 2022/08/14 07:55:22 - mmengine - INFO - Epoch(train) [58][2500/3757] lr: 8.8258e-02 eta: 3 days, 10:44:46 time: 0.4002 data_time: 0.0152 memory: 13431 grad_norm: 2.4022 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.1932 loss: 3.1932 2022/08/14 07:56:02 - mmengine - INFO - Epoch(train) [58][2600/3757] lr: 8.8258e-02 eta: 3 days, 10:44:06 time: 0.3996 data_time: 0.0148 memory: 13431 grad_norm: 2.4749 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2763 loss: 3.2763 2022/08/14 07:56:41 - mmengine - INFO - Epoch(train) [58][2700/3757] lr: 8.8258e-02 eta: 3 days, 10:43:26 time: 0.3997 data_time: 0.0151 memory: 13431 grad_norm: 2.4828 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9351 loss: 2.9351 2022/08/14 07:57:21 - mmengine - INFO - Epoch(train) [58][2800/3757] lr: 8.8258e-02 eta: 3 days, 10:42:45 time: 0.3988 data_time: 0.0159 memory: 13431 grad_norm: 2.3563 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0734 loss: 3.0734 2022/08/14 07:57:42 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 07:58:01 - mmengine - INFO - Epoch(train) [58][2900/3757] lr: 8.8258e-02 eta: 3 days, 10:42:05 time: 0.4007 data_time: 0.0150 memory: 13431 grad_norm: 2.3179 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9587 loss: 2.9587 2022/08/14 07:58:42 - mmengine - INFO - Epoch(train) [58][3000/3757] lr: 8.8258e-02 eta: 3 days, 10:41:26 time: 0.4031 data_time: 0.0160 memory: 13431 grad_norm: 2.4351 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1735 loss: 3.1735 2022/08/14 07:59:22 - mmengine - INFO - Epoch(train) [58][3100/3757] lr: 8.8258e-02 eta: 3 days, 10:40:46 time: 0.4008 data_time: 0.0136 memory: 13431 grad_norm: 2.3800 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.7510 loss: 2.7510 2022/08/14 08:00:02 - mmengine - INFO - Epoch(train) [58][3200/3757] lr: 8.8258e-02 eta: 3 days, 10:40:06 time: 0.4033 data_time: 0.0147 memory: 13431 grad_norm: 2.3741 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9032 loss: 2.9032 2022/08/14 08:00:42 - mmengine - INFO - Epoch(train) [58][3300/3757] lr: 8.8258e-02 eta: 3 days, 10:39:26 time: 0.3983 data_time: 0.0148 memory: 13431 grad_norm: 2.2834 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1214 loss: 3.1214 2022/08/14 08:01:22 - mmengine - INFO - Epoch(train) [58][3400/3757] lr: 8.8258e-02 eta: 3 days, 10:38:46 time: 0.4018 data_time: 0.0175 memory: 13431 grad_norm: 2.4065 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.1183 loss: 3.1183 2022/08/14 08:02:02 - mmengine - INFO - Epoch(train) [58][3500/3757] lr: 8.8258e-02 eta: 3 days, 10:38:07 time: 0.4144 data_time: 0.0157 memory: 13431 grad_norm: 2.3574 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0201 loss: 3.0201 2022/08/14 08:02:42 - mmengine - INFO - Epoch(train) [58][3600/3757] lr: 8.8258e-02 eta: 3 days, 10:37:27 time: 0.3957 data_time: 0.0153 memory: 13431 grad_norm: 2.3081 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0534 loss: 3.0534 2022/08/14 08:03:22 - mmengine - INFO - Epoch(train) [58][3700/3757] lr: 8.8258e-02 eta: 3 days, 10:36:47 time: 0.3957 data_time: 0.0140 memory: 13431 grad_norm: 2.3484 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7810 loss: 2.7810 2022/08/14 08:03:45 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 08:03:45 - mmengine - INFO - Epoch(train) [58][3757/3757] lr: 8.8258e-02 eta: 3 days, 10:36:32 time: 0.3928 data_time: 0.0136 memory: 13431 grad_norm: 2.3783 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 3.0247 loss: 3.0247 2022/08/14 08:04:25 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 08:04:27 - mmengine - INFO - Epoch(train) [59][100/3757] lr: 8.7860e-02 eta: 3 days, 10:35:28 time: 0.4005 data_time: 0.0135 memory: 13431 grad_norm: 2.4322 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.3632 loss: 3.3632 2022/08/14 08:05:07 - mmengine - INFO - Epoch(train) [59][200/3757] lr: 8.7860e-02 eta: 3 days, 10:34:48 time: 0.3967 data_time: 0.0142 memory: 13431 grad_norm: 2.3826 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9487 loss: 2.9487 2022/08/14 08:05:47 - mmengine - INFO - Epoch(train) [59][300/3757] lr: 8.7860e-02 eta: 3 days, 10:34:07 time: 0.3949 data_time: 0.0138 memory: 13431 grad_norm: 2.3725 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9322 loss: 2.9322 2022/08/14 08:06:27 - mmengine - INFO - Epoch(train) [59][400/3757] lr: 8.7860e-02 eta: 3 days, 10:33:27 time: 0.3979 data_time: 0.0143 memory: 13431 grad_norm: 2.4359 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0272 loss: 3.0272 2022/08/14 08:07:07 - mmengine - INFO - Epoch(train) [59][500/3757] lr: 8.7860e-02 eta: 3 days, 10:32:48 time: 0.3969 data_time: 0.0139 memory: 13431 grad_norm: 2.4277 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.3702 loss: 3.3702 2022/08/14 08:07:47 - mmengine - INFO - Epoch(train) [59][600/3757] lr: 8.7860e-02 eta: 3 days, 10:32:08 time: 0.3965 data_time: 0.0138 memory: 13431 grad_norm: 2.3351 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2496 loss: 3.2496 2022/08/14 08:08:27 - mmengine - INFO - Epoch(train) [59][700/3757] lr: 8.7860e-02 eta: 3 days, 10:31:28 time: 0.3984 data_time: 0.0153 memory: 13431 grad_norm: 2.3620 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1014 loss: 3.1014 2022/08/14 08:09:07 - mmengine - INFO - Epoch(train) [59][800/3757] lr: 8.7860e-02 eta: 3 days, 10:30:49 time: 0.4052 data_time: 0.0142 memory: 13431 grad_norm: 2.3942 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8399 loss: 2.8399 2022/08/14 08:09:48 - mmengine - INFO - Epoch(train) [59][900/3757] lr: 8.7860e-02 eta: 3 days, 10:30:09 time: 0.4057 data_time: 0.0140 memory: 13431 grad_norm: 2.3489 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7773 loss: 2.7773 2022/08/14 08:10:28 - mmengine - INFO - Epoch(train) [59][1000/3757] lr: 8.7860e-02 eta: 3 days, 10:29:29 time: 0.3962 data_time: 0.0143 memory: 13431 grad_norm: 2.3565 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7455 loss: 2.7455 2022/08/14 08:11:05 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 08:11:08 - mmengine - INFO - Epoch(train) [59][1100/3757] lr: 8.7860e-02 eta: 3 days, 10:28:48 time: 0.3975 data_time: 0.0134 memory: 13431 grad_norm: 2.4094 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.9025 loss: 2.9025 2022/08/14 08:11:48 - mmengine - INFO - Epoch(train) [59][1200/3757] lr: 8.7860e-02 eta: 3 days, 10:28:09 time: 0.3958 data_time: 0.0146 memory: 13431 grad_norm: 2.4235 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7493 loss: 2.7493 2022/08/14 08:12:28 - mmengine - INFO - Epoch(train) [59][1300/3757] lr: 8.7860e-02 eta: 3 days, 10:27:29 time: 0.3968 data_time: 0.0142 memory: 13431 grad_norm: 2.4158 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7004 loss: 2.7004 2022/08/14 08:13:08 - mmengine - INFO - Epoch(train) [59][1400/3757] lr: 8.7860e-02 eta: 3 days, 10:26:50 time: 0.3966 data_time: 0.0145 memory: 13431 grad_norm: 2.3088 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 3.1356 loss: 3.1356 2022/08/14 08:13:48 - mmengine - INFO - Epoch(train) [59][1500/3757] lr: 8.7860e-02 eta: 3 days, 10:26:10 time: 0.4067 data_time: 0.0161 memory: 13431 grad_norm: 2.3909 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.8757 loss: 2.8757 2022/08/14 08:14:28 - mmengine - INFO - Epoch(train) [59][1600/3757] lr: 8.7860e-02 eta: 3 days, 10:25:29 time: 0.3967 data_time: 0.0134 memory: 13431 grad_norm: 2.3760 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9391 loss: 2.9391 2022/08/14 08:15:08 - mmengine - INFO - Epoch(train) [59][1700/3757] lr: 8.7860e-02 eta: 3 days, 10:24:50 time: 0.3975 data_time: 0.0159 memory: 13431 grad_norm: 2.3346 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8951 loss: 2.8951 2022/08/14 08:15:48 - mmengine - INFO - Epoch(train) [59][1800/3757] lr: 8.7860e-02 eta: 3 days, 10:24:09 time: 0.3992 data_time: 0.0139 memory: 13431 grad_norm: 2.4252 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8942 loss: 2.8942 2022/08/14 08:16:28 - mmengine - INFO - Epoch(train) [59][1900/3757] lr: 8.7860e-02 eta: 3 days, 10:23:29 time: 0.4001 data_time: 0.0140 memory: 13431 grad_norm: 2.3408 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7306 loss: 2.7306 2022/08/14 08:17:08 - mmengine - INFO - Epoch(train) [59][2000/3757] lr: 8.7860e-02 eta: 3 days, 10:22:50 time: 0.4056 data_time: 0.0156 memory: 13431 grad_norm: 2.3606 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.9147 loss: 2.9147 2022/08/14 08:17:46 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 08:17:49 - mmengine - INFO - Epoch(train) [59][2100/3757] lr: 8.7860e-02 eta: 3 days, 10:22:11 time: 0.4000 data_time: 0.0150 memory: 13431 grad_norm: 2.4111 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0526 loss: 3.0526 2022/08/14 08:18:29 - mmengine - INFO - Epoch(train) [59][2200/3757] lr: 8.7860e-02 eta: 3 days, 10:21:31 time: 0.3968 data_time: 0.0138 memory: 13431 grad_norm: 2.4384 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.2538 loss: 3.2538 2022/08/14 08:19:09 - mmengine - INFO - Epoch(train) [59][2300/3757] lr: 8.7860e-02 eta: 3 days, 10:20:50 time: 0.3977 data_time: 0.0137 memory: 13431 grad_norm: 2.3938 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0892 loss: 3.0892 2022/08/14 08:19:49 - mmengine - INFO - Epoch(train) [59][2400/3757] lr: 8.7860e-02 eta: 3 days, 10:20:12 time: 0.3963 data_time: 0.0141 memory: 13431 grad_norm: 2.4358 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9042 loss: 2.9042 2022/08/14 08:20:29 - mmengine - INFO - Epoch(train) [59][2500/3757] lr: 8.7860e-02 eta: 3 days, 10:19:32 time: 0.3989 data_time: 0.0141 memory: 13431 grad_norm: 2.4118 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.0103 loss: 3.0103 2022/08/14 08:21:09 - mmengine - INFO - Epoch(train) [59][2600/3757] lr: 8.7860e-02 eta: 3 days, 10:18:52 time: 0.3981 data_time: 0.0147 memory: 13431 grad_norm: 2.3061 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.9809 loss: 2.9809 2022/08/14 08:21:49 - mmengine - INFO - Epoch(train) [59][2700/3757] lr: 8.7860e-02 eta: 3 days, 10:18:13 time: 0.3975 data_time: 0.0137 memory: 13431 grad_norm: 2.5195 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.4066 loss: 3.4066 2022/08/14 08:22:30 - mmengine - INFO - Epoch(train) [59][2800/3757] lr: 8.7860e-02 eta: 3 days, 10:17:34 time: 0.4019 data_time: 0.0149 memory: 13431 grad_norm: 2.2849 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6199 loss: 2.6199 2022/08/14 08:23:10 - mmengine - INFO - Epoch(train) [59][2900/3757] lr: 8.7860e-02 eta: 3 days, 10:16:54 time: 0.3999 data_time: 0.0140 memory: 13431 grad_norm: 2.4360 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8951 loss: 2.8951 2022/08/14 08:23:50 - mmengine - INFO - Epoch(train) [59][3000/3757] lr: 8.7860e-02 eta: 3 days, 10:16:15 time: 0.3973 data_time: 0.0148 memory: 13431 grad_norm: 2.3124 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8397 loss: 2.8397 2022/08/14 08:24:28 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 08:24:30 - mmengine - INFO - Epoch(train) [59][3100/3757] lr: 8.7860e-02 eta: 3 days, 10:15:35 time: 0.4041 data_time: 0.0150 memory: 13431 grad_norm: 2.3235 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6450 loss: 2.6450 2022/08/14 08:25:10 - mmengine - INFO - Epoch(train) [59][3200/3757] lr: 8.7860e-02 eta: 3 days, 10:14:55 time: 0.3978 data_time: 0.0141 memory: 13431 grad_norm: 2.4379 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.2419 loss: 3.2419 2022/08/14 08:25:51 - mmengine - INFO - Epoch(train) [59][3300/3757] lr: 8.7860e-02 eta: 3 days, 10:14:16 time: 0.4026 data_time: 0.0151 memory: 13431 grad_norm: 2.2692 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9266 loss: 2.9266 2022/08/14 08:26:31 - mmengine - INFO - Epoch(train) [59][3400/3757] lr: 8.7860e-02 eta: 3 days, 10:13:36 time: 0.3969 data_time: 0.0148 memory: 13431 grad_norm: 2.3658 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1963 loss: 3.1963 2022/08/14 08:27:11 - mmengine - INFO - Epoch(train) [59][3500/3757] lr: 8.7860e-02 eta: 3 days, 10:12:57 time: 0.4000 data_time: 0.0146 memory: 13431 grad_norm: 2.4584 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9667 loss: 2.9667 2022/08/14 08:27:51 - mmengine - INFO - Epoch(train) [59][3600/3757] lr: 8.7860e-02 eta: 3 days, 10:12:17 time: 0.4039 data_time: 0.0139 memory: 13431 grad_norm: 2.4154 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9702 loss: 2.9702 2022/08/14 08:28:31 - mmengine - INFO - Epoch(train) [59][3700/3757] lr: 8.7860e-02 eta: 3 days, 10:11:37 time: 0.3980 data_time: 0.0144 memory: 13431 grad_norm: 2.3418 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.8267 loss: 2.8267 2022/08/14 08:28:54 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 08:28:54 - mmengine - INFO - Epoch(train) [59][3757/3757] lr: 8.7860e-02 eta: 3 days, 10:11:21 time: 0.3875 data_time: 0.0137 memory: 13431 grad_norm: 2.3188 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 3.0837 loss: 3.0837 2022/08/14 08:29:36 - mmengine - INFO - Epoch(train) [60][100/3757] lr: 8.7457e-02 eta: 3 days, 10:10:19 time: 0.3969 data_time: 0.0149 memory: 13431 grad_norm: 2.3634 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9000 loss: 2.9000 2022/08/14 08:30:16 - mmengine - INFO - Epoch(train) [60][200/3757] lr: 8.7457e-02 eta: 3 days, 10:09:39 time: 0.4011 data_time: 0.0141 memory: 13431 grad_norm: 2.4268 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8991 loss: 2.8991 2022/08/14 08:30:56 - mmengine - INFO - Epoch(train) [60][300/3757] lr: 8.7457e-02 eta: 3 days, 10:08:59 time: 0.3964 data_time: 0.0148 memory: 13431 grad_norm: 2.3941 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.0886 loss: 3.0886 2022/08/14 08:31:11 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 08:31:36 - mmengine - INFO - Epoch(train) [60][400/3757] lr: 8.7457e-02 eta: 3 days, 10:08:19 time: 0.3976 data_time: 0.0143 memory: 13431 grad_norm: 2.4069 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9098 loss: 2.9098 2022/08/14 08:32:17 - mmengine - INFO - Epoch(train) [60][500/3757] lr: 8.7457e-02 eta: 3 days, 10:07:40 time: 0.4026 data_time: 0.0156 memory: 13431 grad_norm: 2.4087 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 3.0758 loss: 3.0758 2022/08/14 08:32:57 - mmengine - INFO - Epoch(train) [60][600/3757] lr: 8.7457e-02 eta: 3 days, 10:07:00 time: 0.3995 data_time: 0.0146 memory: 13431 grad_norm: 2.3141 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8748 loss: 2.8748 2022/08/14 08:33:36 - mmengine - INFO - Epoch(train) [60][700/3757] lr: 8.7457e-02 eta: 3 days, 10:06:19 time: 0.3988 data_time: 0.0153 memory: 13431 grad_norm: 2.3824 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8022 loss: 2.8022 2022/08/14 08:34:17 - mmengine - INFO - Epoch(train) [60][800/3757] lr: 8.7457e-02 eta: 3 days, 10:05:40 time: 0.3974 data_time: 0.0138 memory: 13431 grad_norm: 2.3603 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8077 loss: 2.8077 2022/08/14 08:34:57 - mmengine - INFO - Epoch(train) [60][900/3757] lr: 8.7457e-02 eta: 3 days, 10:05:00 time: 0.4025 data_time: 0.0135 memory: 13431 grad_norm: 2.3209 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1890 loss: 3.1890 2022/08/14 08:35:37 - mmengine - INFO - Epoch(train) [60][1000/3757] lr: 8.7457e-02 eta: 3 days, 10:04:21 time: 0.4011 data_time: 0.0138 memory: 13431 grad_norm: 2.4214 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7664 loss: 2.7664 2022/08/14 08:36:17 - mmengine - INFO - Epoch(train) [60][1100/3757] lr: 8.7457e-02 eta: 3 days, 10:03:40 time: 0.3963 data_time: 0.0139 memory: 13431 grad_norm: 2.3704 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9203 loss: 2.9203 2022/08/14 08:36:57 - mmengine - INFO - Epoch(train) [60][1200/3757] lr: 8.7457e-02 eta: 3 days, 10:03:00 time: 0.3974 data_time: 0.0139 memory: 13431 grad_norm: 2.3151 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2288 loss: 3.2288 2022/08/14 08:37:37 - mmengine - INFO - Epoch(train) [60][1300/3757] lr: 8.7457e-02 eta: 3 days, 10:02:21 time: 0.3974 data_time: 0.0141 memory: 13431 grad_norm: 2.3140 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7819 loss: 2.7819 2022/08/14 08:37:52 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 08:38:17 - mmengine - INFO - Epoch(train) [60][1400/3757] lr: 8.7457e-02 eta: 3 days, 10:01:40 time: 0.3999 data_time: 0.0147 memory: 13431 grad_norm: 2.4379 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1472 loss: 3.1472 2022/08/14 08:38:57 - mmengine - INFO - Epoch(train) [60][1500/3757] lr: 8.7457e-02 eta: 3 days, 10:01:00 time: 0.4062 data_time: 0.0146 memory: 13431 grad_norm: 2.3664 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0744 loss: 3.0744 2022/08/14 08:39:37 - mmengine - INFO - Epoch(train) [60][1600/3757] lr: 8.7457e-02 eta: 3 days, 10:00:21 time: 0.4036 data_time: 0.0144 memory: 13431 grad_norm: 2.4791 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0874 loss: 3.0874 2022/08/14 08:40:17 - mmengine - INFO - Epoch(train) [60][1700/3757] lr: 8.7457e-02 eta: 3 days, 9:59:41 time: 0.4063 data_time: 0.0148 memory: 13431 grad_norm: 2.3398 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8735 loss: 2.8735 2022/08/14 08:40:58 - mmengine - INFO - Epoch(train) [60][1800/3757] lr: 8.7457e-02 eta: 3 days, 9:59:02 time: 0.4061 data_time: 0.0141 memory: 13431 grad_norm: 2.4259 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8354 loss: 2.8354 2022/08/14 08:41:38 - mmengine - INFO - Epoch(train) [60][1900/3757] lr: 8.7457e-02 eta: 3 days, 9:58:23 time: 0.4027 data_time: 0.0159 memory: 13431 grad_norm: 2.3280 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1072 loss: 3.1072 2022/08/14 08:42:18 - mmengine - INFO - Epoch(train) [60][2000/3757] lr: 8.7457e-02 eta: 3 days, 9:57:44 time: 0.4039 data_time: 0.0143 memory: 13431 grad_norm: 2.3843 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7959 loss: 2.7959 2022/08/14 08:42:58 - mmengine - INFO - Epoch(train) [60][2100/3757] lr: 8.7457e-02 eta: 3 days, 9:57:04 time: 0.4005 data_time: 0.0157 memory: 13431 grad_norm: 2.4050 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8346 loss: 2.8346 2022/08/14 08:43:38 - mmengine - INFO - Epoch(train) [60][2200/3757] lr: 8.7457e-02 eta: 3 days, 9:56:24 time: 0.3980 data_time: 0.0142 memory: 13431 grad_norm: 2.3410 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8695 loss: 2.8695 2022/08/14 08:44:19 - mmengine - INFO - Epoch(train) [60][2300/3757] lr: 8.7457e-02 eta: 3 days, 9:55:44 time: 0.4040 data_time: 0.0138 memory: 13431 grad_norm: 2.3446 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1171 loss: 3.1171 2022/08/14 08:44:33 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 08:44:59 - mmengine - INFO - Epoch(train) [60][2400/3757] lr: 8.7457e-02 eta: 3 days, 9:55:05 time: 0.3964 data_time: 0.0138 memory: 13431 grad_norm: 2.3802 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9708 loss: 2.9708 2022/08/14 08:45:39 - mmengine - INFO - Epoch(train) [60][2500/3757] lr: 8.7457e-02 eta: 3 days, 9:54:25 time: 0.4060 data_time: 0.0154 memory: 13431 grad_norm: 2.3753 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8525 loss: 2.8525 2022/08/14 08:46:19 - mmengine - INFO - Epoch(train) [60][2600/3757] lr: 8.7457e-02 eta: 3 days, 9:53:45 time: 0.3994 data_time: 0.0146 memory: 13431 grad_norm: 2.4545 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9026 loss: 2.9026 2022/08/14 08:46:59 - mmengine - INFO - Epoch(train) [60][2700/3757] lr: 8.7457e-02 eta: 3 days, 9:53:05 time: 0.3987 data_time: 0.0139 memory: 13431 grad_norm: 2.3771 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.9427 loss: 2.9427 2022/08/14 08:47:39 - mmengine - INFO - Epoch(train) [60][2800/3757] lr: 8.7457e-02 eta: 3 days, 9:52:25 time: 0.3981 data_time: 0.0146 memory: 13431 grad_norm: 2.3691 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6968 loss: 2.6968 2022/08/14 08:48:19 - mmengine - INFO - Epoch(train) [60][2900/3757] lr: 8.7457e-02 eta: 3 days, 9:51:45 time: 0.3965 data_time: 0.0136 memory: 13431 grad_norm: 2.3846 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9460 loss: 2.9460 2022/08/14 08:48:59 - mmengine - INFO - Epoch(train) [60][3000/3757] lr: 8.7457e-02 eta: 3 days, 9:51:05 time: 0.4031 data_time: 0.0145 memory: 13431 grad_norm: 2.3626 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1154 loss: 3.1154 2022/08/14 08:49:39 - mmengine - INFO - Epoch(train) [60][3100/3757] lr: 8.7457e-02 eta: 3 days, 9:50:26 time: 0.3977 data_time: 0.0150 memory: 13431 grad_norm: 2.3295 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0860 loss: 3.0860 2022/08/14 08:50:20 - mmengine - INFO - Epoch(train) [60][3200/3757] lr: 8.7457e-02 eta: 3 days, 9:49:46 time: 0.4043 data_time: 0.0140 memory: 13431 grad_norm: 2.4047 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3448 loss: 3.3448 2022/08/14 08:51:00 - mmengine - INFO - Epoch(train) [60][3300/3757] lr: 8.7457e-02 eta: 3 days, 9:49:06 time: 0.4046 data_time: 0.0168 memory: 13431 grad_norm: 2.4373 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7484 loss: 2.7484 2022/08/14 08:51:14 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 08:51:40 - mmengine - INFO - Epoch(train) [60][3400/3757] lr: 8.7457e-02 eta: 3 days, 9:48:26 time: 0.4000 data_time: 0.0144 memory: 13431 grad_norm: 2.3519 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 3.0152 loss: 3.0152 2022/08/14 08:52:20 - mmengine - INFO - Epoch(train) [60][3500/3757] lr: 8.7457e-02 eta: 3 days, 9:47:46 time: 0.3982 data_time: 0.0149 memory: 13431 grad_norm: 2.3472 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9642 loss: 2.9642 2022/08/14 08:53:00 - mmengine - INFO - Epoch(train) [60][3600/3757] lr: 8.7457e-02 eta: 3 days, 9:47:07 time: 0.3973 data_time: 0.0146 memory: 13431 grad_norm: 2.3900 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7882 loss: 2.7882 2022/08/14 08:53:40 - mmengine - INFO - Epoch(train) [60][3700/3757] lr: 8.7457e-02 eta: 3 days, 9:46:27 time: 0.4089 data_time: 0.0133 memory: 13431 grad_norm: 2.3670 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0563 loss: 3.0563 2022/08/14 08:54:03 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 08:54:03 - mmengine - INFO - Epoch(train) [60][3757/3757] lr: 8.7457e-02 eta: 3 days, 9:46:11 time: 0.3873 data_time: 0.0137 memory: 13431 grad_norm: 2.3802 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 3.0204 loss: 3.0204 2022/08/14 08:54:03 - mmengine - INFO - Saving checkpoint at 60 epochs 2022/08/14 08:54:30 - mmengine - INFO - Epoch(val) [60][100/310] eta: 0:00:43 time: 0.2065 data_time: 0.0777 memory: 1974 2022/08/14 08:54:52 - mmengine - INFO - Epoch(val) [60][200/310] eta: 0:00:21 time: 0.1973 data_time: 0.0677 memory: 1974 2022/08/14 08:55:11 - mmengine - INFO - Epoch(val) [60][300/310] eta: 0:00:01 time: 0.1436 data_time: 0.0337 memory: 1974 2022/08/14 08:55:14 - mmengine - INFO - Epoch(val) [60][310/310] acc/top1: 0.4017 acc/top5: 0.6837 acc/mean1: 0.4017 2022/08/14 08:55:56 - mmengine - INFO - Epoch(train) [61][100/3757] lr: 8.7048e-02 eta: 3 days, 9:45:09 time: 0.3993 data_time: 0.0142 memory: 13431 grad_norm: 2.3900 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9872 loss: 2.9872 2022/08/14 08:56:36 - mmengine - INFO - Epoch(train) [61][200/3757] lr: 8.7048e-02 eta: 3 days, 9:44:30 time: 0.4026 data_time: 0.0141 memory: 13431 grad_norm: 2.3037 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7681 loss: 2.7681 2022/08/14 08:57:16 - mmengine - INFO - Epoch(train) [61][300/3757] lr: 8.7048e-02 eta: 3 days, 9:43:49 time: 0.3959 data_time: 0.0137 memory: 13431 grad_norm: 2.3838 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8566 loss: 2.8566 2022/08/14 08:57:56 - mmengine - INFO - Epoch(train) [61][400/3757] lr: 8.7048e-02 eta: 3 days, 9:43:09 time: 0.3979 data_time: 0.0148 memory: 13431 grad_norm: 2.3570 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6558 loss: 2.6558 2022/08/14 08:58:36 - mmengine - INFO - Epoch(train) [61][500/3757] lr: 8.7048e-02 eta: 3 days, 9:42:29 time: 0.3970 data_time: 0.0148 memory: 13431 grad_norm: 2.4447 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0680 loss: 3.0680 2022/08/14 08:59:08 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 08:59:16 - mmengine - INFO - Epoch(train) [61][600/3757] lr: 8.7048e-02 eta: 3 days, 9:41:49 time: 0.3996 data_time: 0.0138 memory: 13431 grad_norm: 2.3099 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0955 loss: 3.0955 2022/08/14 08:59:56 - mmengine - INFO - Epoch(train) [61][700/3757] lr: 8.7048e-02 eta: 3 days, 9:41:10 time: 0.4056 data_time: 0.0158 memory: 13431 grad_norm: 2.4345 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1322 loss: 3.1322 2022/08/14 09:00:36 - mmengine - INFO - Epoch(train) [61][800/3757] lr: 8.7048e-02 eta: 3 days, 9:40:30 time: 0.4036 data_time: 0.0145 memory: 13431 grad_norm: 2.3712 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9743 loss: 2.9743 2022/08/14 09:01:16 - mmengine - INFO - Epoch(train) [61][900/3757] lr: 8.7048e-02 eta: 3 days, 9:39:50 time: 0.4070 data_time: 0.0143 memory: 13431 grad_norm: 2.3398 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7887 loss: 2.7887 2022/08/14 09:01:57 - mmengine - INFO - Epoch(train) [61][1000/3757] lr: 8.7048e-02 eta: 3 days, 9:39:10 time: 0.3987 data_time: 0.0155 memory: 13431 grad_norm: 2.4317 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0203 loss: 3.0203 2022/08/14 09:02:36 - mmengine - INFO - Epoch(train) [61][1100/3757] lr: 8.7048e-02 eta: 3 days, 9:38:30 time: 0.3989 data_time: 0.0156 memory: 13431 grad_norm: 2.3266 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9568 loss: 2.9568 2022/08/14 09:03:16 - mmengine - INFO - Epoch(train) [61][1200/3757] lr: 8.7048e-02 eta: 3 days, 9:37:50 time: 0.3992 data_time: 0.0156 memory: 13431 grad_norm: 2.3512 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.9331 loss: 2.9331 2022/08/14 09:03:56 - mmengine - INFO - Epoch(train) [61][1300/3757] lr: 8.7048e-02 eta: 3 days, 9:37:09 time: 0.3963 data_time: 0.0146 memory: 13431 grad_norm: 2.4755 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7593 loss: 2.7593 2022/08/14 09:04:37 - mmengine - INFO - Epoch(train) [61][1400/3757] lr: 8.7048e-02 eta: 3 days, 9:36:30 time: 0.4032 data_time: 0.0147 memory: 13431 grad_norm: 2.4838 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0392 loss: 3.0392 2022/08/14 09:05:17 - mmengine - INFO - Epoch(train) [61][1500/3757] lr: 8.7048e-02 eta: 3 days, 9:35:50 time: 0.4015 data_time: 0.0146 memory: 13431 grad_norm: 2.4904 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0527 loss: 3.0527 2022/08/14 09:05:49 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 09:05:57 - mmengine - INFO - Epoch(train) [61][1600/3757] lr: 8.7048e-02 eta: 3 days, 9:35:10 time: 0.3987 data_time: 0.0135 memory: 13431 grad_norm: 2.3816 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0474 loss: 3.0474 2022/08/14 09:06:37 - mmengine - INFO - Epoch(train) [61][1700/3757] lr: 8.7048e-02 eta: 3 days, 9:34:31 time: 0.3983 data_time: 0.0144 memory: 13431 grad_norm: 2.3925 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0203 loss: 3.0203 2022/08/14 09:07:17 - mmengine - INFO - Epoch(train) [61][1800/3757] lr: 8.7048e-02 eta: 3 days, 9:33:51 time: 0.3964 data_time: 0.0137 memory: 13431 grad_norm: 2.4801 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9332 loss: 2.9332 2022/08/14 09:07:57 - mmengine - INFO - Epoch(train) [61][1900/3757] lr: 8.7048e-02 eta: 3 days, 9:33:10 time: 0.3972 data_time: 0.0145 memory: 13431 grad_norm: 2.4816 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9916 loss: 2.9916 2022/08/14 09:08:37 - mmengine - INFO - Epoch(train) [61][2000/3757] lr: 8.7048e-02 eta: 3 days, 9:32:31 time: 0.4054 data_time: 0.0144 memory: 13431 grad_norm: 2.3774 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6697 loss: 2.6697 2022/08/14 09:09:17 - mmengine - INFO - Epoch(train) [61][2100/3757] lr: 8.7048e-02 eta: 3 days, 9:31:52 time: 0.4049 data_time: 0.0135 memory: 13431 grad_norm: 2.3682 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0193 loss: 3.0193 2022/08/14 09:09:57 - mmengine - INFO - Epoch(train) [61][2200/3757] lr: 8.7048e-02 eta: 3 days, 9:31:12 time: 0.3969 data_time: 0.0148 memory: 13431 grad_norm: 2.4100 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8443 loss: 2.8443 2022/08/14 09:10:37 - mmengine - INFO - Epoch(train) [61][2300/3757] lr: 8.7048e-02 eta: 3 days, 9:30:32 time: 0.3985 data_time: 0.0152 memory: 13431 grad_norm: 2.3748 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8951 loss: 2.8951 2022/08/14 09:11:18 - mmengine - INFO - Epoch(train) [61][2400/3757] lr: 8.7048e-02 eta: 3 days, 9:29:52 time: 0.4046 data_time: 0.0147 memory: 13431 grad_norm: 2.4235 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.9346 loss: 2.9346 2022/08/14 09:11:58 - mmengine - INFO - Epoch(train) [61][2500/3757] lr: 8.7048e-02 eta: 3 days, 9:29:12 time: 0.3989 data_time: 0.0146 memory: 13431 grad_norm: 2.4127 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7523 loss: 2.7523 2022/08/14 09:12:30 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 09:12:38 - mmengine - INFO - Epoch(train) [61][2600/3757] lr: 8.7048e-02 eta: 3 days, 9:28:32 time: 0.3985 data_time: 0.0146 memory: 13431 grad_norm: 2.4714 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.9624 loss: 2.9624 2022/08/14 09:13:18 - mmengine - INFO - Epoch(train) [61][2700/3757] lr: 8.7048e-02 eta: 3 days, 9:27:52 time: 0.4096 data_time: 0.0176 memory: 13431 grad_norm: 2.3471 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1593 loss: 3.1593 2022/08/14 09:13:58 - mmengine - INFO - Epoch(train) [61][2800/3757] lr: 8.7048e-02 eta: 3 days, 9:27:13 time: 0.4086 data_time: 0.0138 memory: 13431 grad_norm: 2.3445 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9404 loss: 2.9404 2022/08/14 09:14:38 - mmengine - INFO - Epoch(train) [61][2900/3757] lr: 8.7048e-02 eta: 3 days, 9:26:33 time: 0.3979 data_time: 0.0144 memory: 13431 grad_norm: 2.3105 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8394 loss: 2.8394 2022/08/14 09:15:18 - mmengine - INFO - Epoch(train) [61][3000/3757] lr: 8.7048e-02 eta: 3 days, 9:25:53 time: 0.3972 data_time: 0.0138 memory: 13431 grad_norm: 2.3736 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9532 loss: 2.9532 2022/08/14 09:15:58 - mmengine - INFO - Epoch(train) [61][3100/3757] lr: 8.7048e-02 eta: 3 days, 9:25:13 time: 0.4021 data_time: 0.0144 memory: 13431 grad_norm: 2.3221 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8759 loss: 2.8759 2022/08/14 09:16:38 - mmengine - INFO - Epoch(train) [61][3200/3757] lr: 8.7048e-02 eta: 3 days, 9:24:33 time: 0.3972 data_time: 0.0141 memory: 13431 grad_norm: 2.4359 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.9077 loss: 2.9077 2022/08/14 09:17:18 - mmengine - INFO - Epoch(train) [61][3300/3757] lr: 8.7048e-02 eta: 3 days, 9:23:52 time: 0.3976 data_time: 0.0140 memory: 13431 grad_norm: 2.3909 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8931 loss: 2.8931 2022/08/14 09:17:58 - mmengine - INFO - Epoch(train) [61][3400/3757] lr: 8.7048e-02 eta: 3 days, 9:23:13 time: 0.4042 data_time: 0.0147 memory: 13431 grad_norm: 2.4261 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9001 loss: 2.9001 2022/08/14 09:18:38 - mmengine - INFO - Epoch(train) [61][3500/3757] lr: 8.7048e-02 eta: 3 days, 9:22:33 time: 0.3986 data_time: 0.0158 memory: 13431 grad_norm: 2.3139 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9757 loss: 2.9757 2022/08/14 09:19:10 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 09:19:19 - mmengine - INFO - Epoch(train) [61][3600/3757] lr: 8.7048e-02 eta: 3 days, 9:21:54 time: 0.4021 data_time: 0.0141 memory: 13431 grad_norm: 2.3993 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8546 loss: 2.8546 2022/08/14 09:19:59 - mmengine - INFO - Epoch(train) [61][3700/3757] lr: 8.7048e-02 eta: 3 days, 9:21:13 time: 0.3985 data_time: 0.0135 memory: 13431 grad_norm: 2.3424 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8221 loss: 2.8221 2022/08/14 09:20:21 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 09:20:21 - mmengine - INFO - Epoch(train) [61][3757/3757] lr: 8.7048e-02 eta: 3 days, 9:20:58 time: 0.3880 data_time: 0.0145 memory: 13431 grad_norm: 2.4052 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 2.9852 loss: 2.9852 2022/08/14 09:21:03 - mmengine - INFO - Epoch(train) [62][100/3757] lr: 8.6633e-02 eta: 3 days, 9:19:55 time: 0.3931 data_time: 0.0139 memory: 13431 grad_norm: 2.4427 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8961 loss: 2.8961 2022/08/14 09:21:43 - mmengine - INFO - Epoch(train) [62][200/3757] lr: 8.6633e-02 eta: 3 days, 9:19:15 time: 0.3976 data_time: 0.0135 memory: 13431 grad_norm: 2.4016 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0988 loss: 3.0988 2022/08/14 09:22:23 - mmengine - INFO - Epoch(train) [62][300/3757] lr: 8.6633e-02 eta: 3 days, 9:18:35 time: 0.4064 data_time: 0.0149 memory: 13431 grad_norm: 2.3367 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.9142 loss: 2.9142 2022/08/14 09:23:03 - mmengine - INFO - Epoch(train) [62][400/3757] lr: 8.6633e-02 eta: 3 days, 9:17:55 time: 0.3965 data_time: 0.0136 memory: 13431 grad_norm: 2.3876 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6459 loss: 2.6459 2022/08/14 09:23:43 - mmengine - INFO - Epoch(train) [62][500/3757] lr: 8.6633e-02 eta: 3 days, 9:17:15 time: 0.3957 data_time: 0.0137 memory: 13431 grad_norm: 2.3585 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8878 loss: 2.8878 2022/08/14 09:24:23 - mmengine - INFO - Epoch(train) [62][600/3757] lr: 8.6633e-02 eta: 3 days, 9:16:36 time: 0.3965 data_time: 0.0142 memory: 13431 grad_norm: 2.3520 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0097 loss: 3.0097 2022/08/14 09:25:04 - mmengine - INFO - Epoch(train) [62][700/3757] lr: 8.6633e-02 eta: 3 days, 9:15:56 time: 0.3986 data_time: 0.0131 memory: 13431 grad_norm: 2.3848 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8755 loss: 2.8755 2022/08/14 09:25:44 - mmengine - INFO - Epoch(train) [62][800/3757] lr: 8.6633e-02 eta: 3 days, 9:15:16 time: 0.3980 data_time: 0.0148 memory: 13431 grad_norm: 2.4752 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8899 loss: 2.8899 2022/08/14 09:25:53 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 09:26:24 - mmengine - INFO - Epoch(train) [62][900/3757] lr: 8.6633e-02 eta: 3 days, 9:14:36 time: 0.3982 data_time: 0.0142 memory: 13431 grad_norm: 2.4004 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.8344 loss: 2.8344 2022/08/14 09:27:04 - mmengine - INFO - Epoch(train) [62][1000/3757] lr: 8.6633e-02 eta: 3 days, 9:13:56 time: 0.4034 data_time: 0.0141 memory: 13431 grad_norm: 2.3617 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9511 loss: 2.9511 2022/08/14 09:27:44 - mmengine - INFO - Epoch(train) [62][1100/3757] lr: 8.6633e-02 eta: 3 days, 9:13:17 time: 0.3984 data_time: 0.0134 memory: 13431 grad_norm: 2.3477 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8998 loss: 2.8998 2022/08/14 09:28:24 - mmengine - INFO - Epoch(train) [62][1200/3757] lr: 8.6633e-02 eta: 3 days, 9:12:37 time: 0.3966 data_time: 0.0140 memory: 13431 grad_norm: 2.3615 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1181 loss: 3.1181 2022/08/14 09:29:04 - mmengine - INFO - Epoch(train) [62][1300/3757] lr: 8.6633e-02 eta: 3 days, 9:11:57 time: 0.3992 data_time: 0.0159 memory: 13431 grad_norm: 2.3643 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8606 loss: 2.8606 2022/08/14 09:29:44 - mmengine - INFO - Epoch(train) [62][1400/3757] lr: 8.6633e-02 eta: 3 days, 9:11:17 time: 0.3967 data_time: 0.0142 memory: 13431 grad_norm: 2.4017 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6848 loss: 2.6848 2022/08/14 09:30:24 - mmengine - INFO - Epoch(train) [62][1500/3757] lr: 8.6633e-02 eta: 3 days, 9:10:37 time: 0.3968 data_time: 0.0143 memory: 13431 grad_norm: 2.4705 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.0503 loss: 3.0503 2022/08/14 09:31:04 - mmengine - INFO - Epoch(train) [62][1600/3757] lr: 8.6633e-02 eta: 3 days, 9:09:57 time: 0.3970 data_time: 0.0139 memory: 13431 grad_norm: 2.4285 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8464 loss: 2.8464 2022/08/14 09:31:44 - mmengine - INFO - Epoch(train) [62][1700/3757] lr: 8.6633e-02 eta: 3 days, 9:09:17 time: 0.4054 data_time: 0.0148 memory: 13431 grad_norm: 2.3602 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6375 loss: 2.6375 2022/08/14 09:32:25 - mmengine - INFO - Epoch(train) [62][1800/3757] lr: 8.6633e-02 eta: 3 days, 9:08:37 time: 0.3968 data_time: 0.0136 memory: 13431 grad_norm: 2.2938 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8675 loss: 2.8675 2022/08/14 09:32:34 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 09:33:05 - mmengine - INFO - Epoch(train) [62][1900/3757] lr: 8.6633e-02 eta: 3 days, 9:07:58 time: 0.3960 data_time: 0.0139 memory: 13431 grad_norm: 2.3789 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1317 loss: 3.1317 2022/08/14 09:33:45 - mmengine - INFO - Epoch(train) [62][2000/3757] lr: 8.6633e-02 eta: 3 days, 9:07:18 time: 0.3986 data_time: 0.0137 memory: 13431 grad_norm: 2.3706 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8679 loss: 2.8679 2022/08/14 09:34:25 - mmengine - INFO - Epoch(train) [62][2100/3757] lr: 8.6633e-02 eta: 3 days, 9:06:38 time: 0.3979 data_time: 0.0146 memory: 13431 grad_norm: 2.3173 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.1470 loss: 3.1470 2022/08/14 09:35:05 - mmengine - INFO - Epoch(train) [62][2200/3757] lr: 8.6633e-02 eta: 3 days, 9:05:58 time: 0.3985 data_time: 0.0158 memory: 13431 grad_norm: 2.4333 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9827 loss: 2.9827 2022/08/14 09:35:45 - mmengine - INFO - Epoch(train) [62][2300/3757] lr: 8.6633e-02 eta: 3 days, 9:05:19 time: 0.3986 data_time: 0.0136 memory: 13431 grad_norm: 2.3770 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9379 loss: 2.9379 2022/08/14 09:36:25 - mmengine - INFO - Epoch(train) [62][2400/3757] lr: 8.6633e-02 eta: 3 days, 9:04:39 time: 0.3979 data_time: 0.0141 memory: 13431 grad_norm: 2.3703 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.8390 loss: 2.8390 2022/08/14 09:37:05 - mmengine - INFO - Epoch(train) [62][2500/3757] lr: 8.6633e-02 eta: 3 days, 9:04:00 time: 0.3979 data_time: 0.0152 memory: 13431 grad_norm: 2.4727 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8079 loss: 2.8079 2022/08/14 09:37:45 - mmengine - INFO - Epoch(train) [62][2600/3757] lr: 8.6633e-02 eta: 3 days, 9:03:20 time: 0.3970 data_time: 0.0132 memory: 13431 grad_norm: 2.3629 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.7511 loss: 2.7511 2022/08/14 09:38:26 - mmengine - INFO - Epoch(train) [62][2700/3757] lr: 8.6633e-02 eta: 3 days, 9:02:40 time: 0.3966 data_time: 0.0131 memory: 13431 grad_norm: 2.3027 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8211 loss: 2.8211 2022/08/14 09:39:06 - mmengine - INFO - Epoch(train) [62][2800/3757] lr: 8.6633e-02 eta: 3 days, 9:02:01 time: 0.3983 data_time: 0.0149 memory: 13431 grad_norm: 2.4085 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0259 loss: 3.0259 2022/08/14 09:39:15 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 09:39:46 - mmengine - INFO - Epoch(train) [62][2900/3757] lr: 8.6633e-02 eta: 3 days, 9:01:21 time: 0.3986 data_time: 0.0144 memory: 13431 grad_norm: 2.4694 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0306 loss: 3.0306 2022/08/14 09:40:26 - mmengine - INFO - Epoch(train) [62][3000/3757] lr: 8.6633e-02 eta: 3 days, 9:00:42 time: 0.3979 data_time: 0.0138 memory: 13431 grad_norm: 2.3373 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7204 loss: 2.7204 2022/08/14 09:41:06 - mmengine - INFO - Epoch(train) [62][3100/3757] lr: 8.6633e-02 eta: 3 days, 9:00:01 time: 0.3966 data_time: 0.0136 memory: 13431 grad_norm: 2.3885 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0452 loss: 3.0452 2022/08/14 09:41:47 - mmengine - INFO - Epoch(train) [62][3200/3757] lr: 8.6633e-02 eta: 3 days, 8:59:22 time: 0.3971 data_time: 0.0138 memory: 13431 grad_norm: 2.4077 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0472 loss: 3.0472 2022/08/14 09:42:27 - mmengine - INFO - Epoch(train) [62][3300/3757] lr: 8.6633e-02 eta: 3 days, 8:58:43 time: 0.3978 data_time: 0.0146 memory: 13431 grad_norm: 2.3867 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0211 loss: 3.0211 2022/08/14 09:43:07 - mmengine - INFO - Epoch(train) [62][3400/3757] lr: 8.6633e-02 eta: 3 days, 8:58:03 time: 0.3994 data_time: 0.0147 memory: 13431 grad_norm: 2.4009 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9589 loss: 2.9589 2022/08/14 09:43:47 - mmengine - INFO - Epoch(train) [62][3500/3757] lr: 8.6633e-02 eta: 3 days, 8:57:23 time: 0.3973 data_time: 0.0151 memory: 13431 grad_norm: 2.3307 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8643 loss: 2.8643 2022/08/14 09:44:27 - mmengine - INFO - Epoch(train) [62][3600/3757] lr: 8.6633e-02 eta: 3 days, 8:56:43 time: 0.3969 data_time: 0.0137 memory: 13431 grad_norm: 2.3939 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7206 loss: 2.7206 2022/08/14 09:45:07 - mmengine - INFO - Epoch(train) [62][3700/3757] lr: 8.6633e-02 eta: 3 days, 8:56:03 time: 0.3981 data_time: 0.0141 memory: 13431 grad_norm: 2.3942 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8607 loss: 2.8607 2022/08/14 09:45:30 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 09:45:30 - mmengine - INFO - Epoch(train) [62][3757/3757] lr: 8.6633e-02 eta: 3 days, 8:55:48 time: 0.3867 data_time: 0.0136 memory: 13431 grad_norm: 2.3485 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 3.0106 loss: 3.0106 2022/08/14 09:45:58 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 09:46:12 - mmengine - INFO - Epoch(train) [63][100/3757] lr: 8.6212e-02 eta: 3 days, 8:54:46 time: 0.4026 data_time: 0.0149 memory: 13431 grad_norm: 2.4641 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0893 loss: 3.0893 2022/08/14 09:46:52 - mmengine - INFO - Epoch(train) [63][200/3757] lr: 8.6212e-02 eta: 3 days, 8:54:07 time: 0.3976 data_time: 0.0142 memory: 13431 grad_norm: 2.3822 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0012 loss: 3.0012 2022/08/14 09:47:32 - mmengine - INFO - Epoch(train) [63][300/3757] lr: 8.6212e-02 eta: 3 days, 8:53:27 time: 0.4002 data_time: 0.0163 memory: 13431 grad_norm: 2.3507 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.7611 loss: 2.7611 2022/08/14 09:48:13 - mmengine - INFO - Epoch(train) [63][400/3757] lr: 8.6212e-02 eta: 3 days, 8:52:48 time: 0.3991 data_time: 0.0144 memory: 13431 grad_norm: 2.4709 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.1379 loss: 3.1379 2022/08/14 09:48:53 - mmengine - INFO - Epoch(train) [63][500/3757] lr: 8.6212e-02 eta: 3 days, 8:52:08 time: 0.3990 data_time: 0.0144 memory: 13431 grad_norm: 2.4154 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8715 loss: 2.8715 2022/08/14 09:49:33 - mmengine - INFO - Epoch(train) [63][600/3757] lr: 8.6212e-02 eta: 3 days, 8:51:28 time: 0.3986 data_time: 0.0139 memory: 13431 grad_norm: 2.3012 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.8930 loss: 2.8930 2022/08/14 09:50:13 - mmengine - INFO - Epoch(train) [63][700/3757] lr: 8.6212e-02 eta: 3 days, 8:50:48 time: 0.3973 data_time: 0.0136 memory: 13431 grad_norm: 2.4147 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7719 loss: 2.7719 2022/08/14 09:50:53 - mmengine - INFO - Epoch(train) [63][800/3757] lr: 8.6212e-02 eta: 3 days, 8:50:09 time: 0.4067 data_time: 0.0145 memory: 13431 grad_norm: 2.3891 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.9214 loss: 2.9214 2022/08/14 09:51:33 - mmengine - INFO - Epoch(train) [63][900/3757] lr: 8.6212e-02 eta: 3 days, 8:49:28 time: 0.3958 data_time: 0.0138 memory: 13431 grad_norm: 2.3647 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0909 loss: 3.0909 2022/08/14 09:52:13 - mmengine - INFO - Epoch(train) [63][1000/3757] lr: 8.6212e-02 eta: 3 days, 8:48:48 time: 0.3998 data_time: 0.0145 memory: 13431 grad_norm: 2.3735 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9520 loss: 2.9520 2022/08/14 09:52:39 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 09:52:53 - mmengine - INFO - Epoch(train) [63][1100/3757] lr: 8.6212e-02 eta: 3 days, 8:48:08 time: 0.3972 data_time: 0.0142 memory: 13431 grad_norm: 2.4064 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8291 loss: 2.8291 2022/08/14 09:53:33 - mmengine - INFO - Epoch(train) [63][1200/3757] lr: 8.6212e-02 eta: 3 days, 8:47:28 time: 0.3983 data_time: 0.0155 memory: 13431 grad_norm: 2.4248 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9272 loss: 2.9272 2022/08/14 09:54:13 - mmengine - INFO - Epoch(train) [63][1300/3757] lr: 8.6212e-02 eta: 3 days, 8:46:49 time: 0.3989 data_time: 0.0137 memory: 13431 grad_norm: 2.4156 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.0492 loss: 3.0492 2022/08/14 09:54:53 - mmengine - INFO - Epoch(train) [63][1400/3757] lr: 8.6212e-02 eta: 3 days, 8:46:08 time: 0.4002 data_time: 0.0148 memory: 13431 grad_norm: 2.3776 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6397 loss: 2.6397 2022/08/14 09:55:34 - mmengine - INFO - Epoch(train) [63][1500/3757] lr: 8.6212e-02 eta: 3 days, 8:45:30 time: 0.4046 data_time: 0.0144 memory: 13431 grad_norm: 2.4602 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7466 loss: 2.7466 2022/08/14 09:56:14 - mmengine - INFO - Epoch(train) [63][1600/3757] lr: 8.6212e-02 eta: 3 days, 8:44:50 time: 0.4000 data_time: 0.0163 memory: 13431 grad_norm: 2.4037 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8670 loss: 2.8670 2022/08/14 09:56:54 - mmengine - INFO - Epoch(train) [63][1700/3757] lr: 8.6212e-02 eta: 3 days, 8:44:11 time: 0.3979 data_time: 0.0139 memory: 13431 grad_norm: 2.4714 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7324 loss: 2.7324 2022/08/14 09:57:34 - mmengine - INFO - Epoch(train) [63][1800/3757] lr: 8.6212e-02 eta: 3 days, 8:43:31 time: 0.3973 data_time: 0.0155 memory: 13431 grad_norm: 2.3424 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0469 loss: 3.0469 2022/08/14 09:58:14 - mmengine - INFO - Epoch(train) [63][1900/3757] lr: 8.6212e-02 eta: 3 days, 8:42:51 time: 0.3986 data_time: 0.0138 memory: 13431 grad_norm: 2.4039 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9342 loss: 2.9342 2022/08/14 09:58:54 - mmengine - INFO - Epoch(train) [63][2000/3757] lr: 8.6212e-02 eta: 3 days, 8:42:11 time: 0.3994 data_time: 0.0139 memory: 13431 grad_norm: 2.4276 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8767 loss: 2.8767 2022/08/14 09:59:21 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 09:59:34 - mmengine - INFO - Epoch(train) [63][2100/3757] lr: 8.6212e-02 eta: 3 days, 8:41:31 time: 0.4013 data_time: 0.0133 memory: 13431 grad_norm: 2.4003 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0290 loss: 3.0290 2022/08/14 10:00:15 - mmengine - INFO - Epoch(train) [63][2200/3757] lr: 8.6212e-02 eta: 3 days, 8:40:52 time: 0.4088 data_time: 0.0135 memory: 13431 grad_norm: 2.4038 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1374 loss: 3.1374 2022/08/14 10:00:55 - mmengine - INFO - Epoch(train) [63][2300/3757] lr: 8.6212e-02 eta: 3 days, 8:40:13 time: 0.4013 data_time: 0.0138 memory: 13431 grad_norm: 2.4619 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.0571 loss: 3.0571 2022/08/14 10:01:35 - mmengine - INFO - Epoch(train) [63][2400/3757] lr: 8.6212e-02 eta: 3 days, 8:39:33 time: 0.3981 data_time: 0.0150 memory: 13431 grad_norm: 2.3697 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5842 loss: 2.5842 2022/08/14 10:02:15 - mmengine - INFO - Epoch(train) [63][2500/3757] lr: 8.6212e-02 eta: 3 days, 8:38:53 time: 0.3980 data_time: 0.0140 memory: 13431 grad_norm: 2.3836 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9982 loss: 2.9982 2022/08/14 10:02:55 - mmengine - INFO - Epoch(train) [63][2600/3757] lr: 8.6212e-02 eta: 3 days, 8:38:13 time: 0.3974 data_time: 0.0141 memory: 13431 grad_norm: 2.4048 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7839 loss: 2.7839 2022/08/14 10:03:35 - mmengine - INFO - Epoch(train) [63][2700/3757] lr: 8.6212e-02 eta: 3 days, 8:37:33 time: 0.3978 data_time: 0.0141 memory: 13431 grad_norm: 2.3741 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2166 loss: 3.2166 2022/08/14 10:04:15 - mmengine - INFO - Epoch(train) [63][2800/3757] lr: 8.6212e-02 eta: 3 days, 8:36:53 time: 0.3974 data_time: 0.0141 memory: 13431 grad_norm: 2.3966 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.1283 loss: 3.1283 2022/08/14 10:04:56 - mmengine - INFO - Epoch(train) [63][2900/3757] lr: 8.6212e-02 eta: 3 days, 8:36:14 time: 0.4091 data_time: 0.0149 memory: 13431 grad_norm: 2.3857 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1190 loss: 3.1190 2022/08/14 10:05:36 - mmengine - INFO - Epoch(train) [63][3000/3757] lr: 8.6212e-02 eta: 3 days, 8:35:34 time: 0.3974 data_time: 0.0130 memory: 13431 grad_norm: 2.3394 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6909 loss: 2.6909 2022/08/14 10:06:02 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 10:06:16 - mmengine - INFO - Epoch(train) [63][3100/3757] lr: 8.6212e-02 eta: 3 days, 8:34:55 time: 0.3995 data_time: 0.0138 memory: 13431 grad_norm: 2.3707 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.0531 loss: 3.0531 2022/08/14 10:06:56 - mmengine - INFO - Epoch(train) [63][3200/3757] lr: 8.6212e-02 eta: 3 days, 8:34:15 time: 0.3966 data_time: 0.0143 memory: 13431 grad_norm: 2.4176 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9256 loss: 2.9256 2022/08/14 10:07:36 - mmengine - INFO - Epoch(train) [63][3300/3757] lr: 8.6212e-02 eta: 3 days, 8:33:35 time: 0.3979 data_time: 0.0152 memory: 13431 grad_norm: 2.3825 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9573 loss: 2.9573 2022/08/14 10:08:16 - mmengine - INFO - Epoch(train) [63][3400/3757] lr: 8.6212e-02 eta: 3 days, 8:32:55 time: 0.3990 data_time: 0.0147 memory: 13431 grad_norm: 2.3961 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8328 loss: 2.8328 2022/08/14 10:08:56 - mmengine - INFO - Epoch(train) [63][3500/3757] lr: 8.6212e-02 eta: 3 days, 8:32:15 time: 0.3997 data_time: 0.0159 memory: 13431 grad_norm: 2.4175 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0863 loss: 3.0863 2022/08/14 10:09:37 - mmengine - INFO - Epoch(train) [63][3600/3757] lr: 8.6212e-02 eta: 3 days, 8:31:36 time: 0.4115 data_time: 0.0151 memory: 13431 grad_norm: 2.3984 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8971 loss: 2.8971 2022/08/14 10:10:17 - mmengine - INFO - Epoch(train) [63][3700/3757] lr: 8.6212e-02 eta: 3 days, 8:30:57 time: 0.3972 data_time: 0.0138 memory: 13431 grad_norm: 2.4267 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9878 loss: 2.9878 2022/08/14 10:10:40 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 10:10:40 - mmengine - INFO - Epoch(train) [63][3757/3757] lr: 8.6212e-02 eta: 3 days, 8:30:42 time: 0.3921 data_time: 0.0135 memory: 13431 grad_norm: 2.4269 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.9545 loss: 2.9545 2022/08/14 10:11:22 - mmengine - INFO - Epoch(train) [64][100/3757] lr: 8.5787e-02 eta: 3 days, 8:29:41 time: 0.4004 data_time: 0.0142 memory: 13431 grad_norm: 2.4193 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0778 loss: 3.0778 2022/08/14 10:12:02 - mmengine - INFO - Epoch(train) [64][200/3757] lr: 8.5787e-02 eta: 3 days, 8:29:01 time: 0.4012 data_time: 0.0156 memory: 13431 grad_norm: 2.3626 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7095 loss: 2.7095 2022/08/14 10:12:42 - mmengine - INFO - Epoch(train) [64][300/3757] lr: 8.5787e-02 eta: 3 days, 8:28:21 time: 0.3987 data_time: 0.0150 memory: 13431 grad_norm: 2.3388 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.6900 loss: 2.6900 2022/08/14 10:12:46 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 10:13:22 - mmengine - INFO - Epoch(train) [64][400/3757] lr: 8.5787e-02 eta: 3 days, 8:27:41 time: 0.3986 data_time: 0.0141 memory: 13431 grad_norm: 2.4542 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0517 loss: 3.0517 2022/08/14 10:14:03 - mmengine - INFO - Epoch(train) [64][500/3757] lr: 8.5787e-02 eta: 3 days, 8:27:02 time: 0.4112 data_time: 0.0145 memory: 13431 grad_norm: 2.4349 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8439 loss: 2.8439 2022/08/14 10:14:43 - mmengine - INFO - Epoch(train) [64][600/3757] lr: 8.5787e-02 eta: 3 days, 8:26:23 time: 0.3982 data_time: 0.0150 memory: 13431 grad_norm: 2.3515 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0166 loss: 3.0166 2022/08/14 10:15:23 - mmengine - INFO - Epoch(train) [64][700/3757] lr: 8.5787e-02 eta: 3 days, 8:25:43 time: 0.4067 data_time: 0.0144 memory: 13431 grad_norm: 2.4141 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6454 loss: 2.6454 2022/08/14 10:16:03 - mmengine - INFO - Epoch(train) [64][800/3757] lr: 8.5787e-02 eta: 3 days, 8:25:04 time: 0.4046 data_time: 0.0160 memory: 13431 grad_norm: 2.3729 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.7645 loss: 2.7645 2022/08/14 10:16:43 - mmengine - INFO - Epoch(train) [64][900/3757] lr: 8.5787e-02 eta: 3 days, 8:24:23 time: 0.3983 data_time: 0.0146 memory: 13431 grad_norm: 2.3837 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9325 loss: 2.9325 2022/08/14 10:17:23 - mmengine - INFO - Epoch(train) [64][1000/3757] lr: 8.5787e-02 eta: 3 days, 8:23:43 time: 0.4020 data_time: 0.0163 memory: 13431 grad_norm: 2.3627 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 2.8295 loss: 2.8295 2022/08/14 10:18:03 - mmengine - INFO - Epoch(train) [64][1100/3757] lr: 8.5787e-02 eta: 3 days, 8:23:03 time: 0.4008 data_time: 0.0153 memory: 13431 grad_norm: 2.3398 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0060 loss: 3.0060 2022/08/14 10:18:43 - mmengine - INFO - Epoch(train) [64][1200/3757] lr: 8.5787e-02 eta: 3 days, 8:22:24 time: 0.3991 data_time: 0.0142 memory: 13431 grad_norm: 2.3715 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2485 loss: 3.2485 2022/08/14 10:19:24 - mmengine - INFO - Epoch(train) [64][1300/3757] lr: 8.5787e-02 eta: 3 days, 8:21:44 time: 0.4023 data_time: 0.0140 memory: 13431 grad_norm: 2.3733 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.0077 loss: 3.0077 2022/08/14 10:19:27 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 10:20:04 - mmengine - INFO - Epoch(train) [64][1400/3757] lr: 8.5787e-02 eta: 3 days, 8:21:05 time: 0.4030 data_time: 0.0155 memory: 13431 grad_norm: 2.3542 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7288 loss: 2.7288 2022/08/14 10:20:44 - mmengine - INFO - Epoch(train) [64][1500/3757] lr: 8.5787e-02 eta: 3 days, 8:20:25 time: 0.4044 data_time: 0.0138 memory: 13431 grad_norm: 2.4244 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0268 loss: 3.0268 2022/08/14 10:21:24 - mmengine - INFO - Epoch(train) [64][1600/3757] lr: 8.5787e-02 eta: 3 days, 8:19:45 time: 0.4016 data_time: 0.0168 memory: 13431 grad_norm: 2.3692 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9851 loss: 2.9851 2022/08/14 10:22:04 - mmengine - INFO - Epoch(train) [64][1700/3757] lr: 8.5787e-02 eta: 3 days, 8:19:05 time: 0.3983 data_time: 0.0156 memory: 13431 grad_norm: 2.4585 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.8656 loss: 2.8656 2022/08/14 10:22:44 - mmengine - INFO - Epoch(train) [64][1800/3757] lr: 8.5787e-02 eta: 3 days, 8:18:25 time: 0.3985 data_time: 0.0146 memory: 13431 grad_norm: 2.3739 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9454 loss: 2.9454 2022/08/14 10:23:24 - mmengine - INFO - Epoch(train) [64][1900/3757] lr: 8.5787e-02 eta: 3 days, 8:17:46 time: 0.3994 data_time: 0.0141 memory: 13431 grad_norm: 2.4026 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0191 loss: 3.0191 2022/08/14 10:24:05 - mmengine - INFO - Epoch(train) [64][2000/3757] lr: 8.5787e-02 eta: 3 days, 8:17:06 time: 0.3989 data_time: 0.0137 memory: 13431 grad_norm: 2.3594 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0759 loss: 3.0759 2022/08/14 10:24:45 - mmengine - INFO - Epoch(train) [64][2100/3757] lr: 8.5787e-02 eta: 3 days, 8:16:28 time: 0.4203 data_time: 0.0161 memory: 13431 grad_norm: 2.3402 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2161 loss: 3.2161 2022/08/14 10:25:26 - mmengine - INFO - Epoch(train) [64][2200/3757] lr: 8.5787e-02 eta: 3 days, 8:15:51 time: 0.4208 data_time: 0.0165 memory: 13431 grad_norm: 2.4459 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.0685 loss: 3.0685 2022/08/14 10:26:07 - mmengine - INFO - Epoch(train) [64][2300/3757] lr: 8.5787e-02 eta: 3 days, 8:15:12 time: 0.4073 data_time: 0.0134 memory: 13431 grad_norm: 2.4268 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3038 loss: 3.3038 2022/08/14 10:26:10 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 10:26:47 - mmengine - INFO - Epoch(train) [64][2400/3757] lr: 8.5787e-02 eta: 3 days, 8:14:32 time: 0.4010 data_time: 0.0139 memory: 13431 grad_norm: 2.4140 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.8819 loss: 2.8819 2022/08/14 10:27:27 - mmengine - INFO - Epoch(train) [64][2500/3757] lr: 8.5787e-02 eta: 3 days, 8:13:53 time: 0.4030 data_time: 0.0153 memory: 13431 grad_norm: 2.4335 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.1757 loss: 3.1757 2022/08/14 10:28:07 - mmengine - INFO - Epoch(train) [64][2600/3757] lr: 8.5787e-02 eta: 3 days, 8:13:13 time: 0.4022 data_time: 0.0147 memory: 13431 grad_norm: 2.3790 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8590 loss: 2.8590 2022/08/14 10:28:47 - mmengine - INFO - Epoch(train) [64][2700/3757] lr: 8.5787e-02 eta: 3 days, 8:12:33 time: 0.3979 data_time: 0.0139 memory: 13431 grad_norm: 2.3665 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9358 loss: 2.9358 2022/08/14 10:29:28 - mmengine - INFO - Epoch(train) [64][2800/3757] lr: 8.5787e-02 eta: 3 days, 8:11:54 time: 0.3969 data_time: 0.0143 memory: 13431 grad_norm: 2.4559 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8657 loss: 2.8657 2022/08/14 10:30:08 - mmengine - INFO - Epoch(train) [64][2900/3757] lr: 8.5787e-02 eta: 3 days, 8:11:15 time: 0.3992 data_time: 0.0134 memory: 13431 grad_norm: 2.3518 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8246 loss: 2.8246 2022/08/14 10:30:48 - mmengine - INFO - Epoch(train) [64][3000/3757] lr: 8.5787e-02 eta: 3 days, 8:10:35 time: 0.4029 data_time: 0.0150 memory: 13431 grad_norm: 2.3896 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0445 loss: 3.0445 2022/08/14 10:31:28 - mmengine - INFO - Epoch(train) [64][3100/3757] lr: 8.5787e-02 eta: 3 days, 8:09:55 time: 0.3990 data_time: 0.0139 memory: 13431 grad_norm: 2.3473 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0673 loss: 3.0673 2022/08/14 10:32:08 - mmengine - INFO - Epoch(train) [64][3200/3757] lr: 8.5787e-02 eta: 3 days, 8:09:15 time: 0.3994 data_time: 0.0154 memory: 13431 grad_norm: 2.4432 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9977 loss: 2.9977 2022/08/14 10:32:48 - mmengine - INFO - Epoch(train) [64][3300/3757] lr: 8.5787e-02 eta: 3 days, 8:08:35 time: 0.4013 data_time: 0.0144 memory: 13431 grad_norm: 2.4405 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1292 loss: 3.1292 2022/08/14 10:32:52 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 10:33:28 - mmengine - INFO - Epoch(train) [64][3400/3757] lr: 8.5787e-02 eta: 3 days, 8:07:56 time: 0.3970 data_time: 0.0141 memory: 13431 grad_norm: 2.3349 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.0323 loss: 3.0323 2022/08/14 10:34:09 - mmengine - INFO - Epoch(train) [64][3500/3757] lr: 8.5787e-02 eta: 3 days, 8:07:17 time: 0.3975 data_time: 0.0146 memory: 13431 grad_norm: 2.4652 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8081 loss: 2.8081 2022/08/14 10:34:49 - mmengine - INFO - Epoch(train) [64][3600/3757] lr: 8.5787e-02 eta: 3 days, 8:06:37 time: 0.3996 data_time: 0.0145 memory: 13431 grad_norm: 2.3219 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.0124 loss: 3.0124 2022/08/14 10:35:29 - mmengine - INFO - Epoch(train) [64][3700/3757] lr: 8.5787e-02 eta: 3 days, 8:05:57 time: 0.3991 data_time: 0.0140 memory: 13431 grad_norm: 2.3836 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.2599 loss: 3.2599 2022/08/14 10:35:51 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 10:35:51 - mmengine - INFO - Epoch(train) [64][3757/3757] lr: 8.5787e-02 eta: 3 days, 8:05:41 time: 0.3843 data_time: 0.0127 memory: 13431 grad_norm: 2.3784 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.6595 loss: 2.6595 2022/08/14 10:35:52 - mmengine - INFO - Saving checkpoint at 64 epochs 2022/08/14 10:36:39 - mmengine - INFO - Epoch(train) [65][100/3757] lr: 8.5355e-02 eta: 3 days, 8:04:37 time: 0.3996 data_time: 0.0142 memory: 13431 grad_norm: 2.4147 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8352 loss: 2.8352 2022/08/14 10:37:19 - mmengine - INFO - Epoch(train) [65][200/3757] lr: 8.5355e-02 eta: 3 days, 8:03:57 time: 0.3972 data_time: 0.0139 memory: 13431 grad_norm: 2.3348 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.6742 loss: 2.6742 2022/08/14 10:37:59 - mmengine - INFO - Epoch(train) [65][300/3757] lr: 8.5355e-02 eta: 3 days, 8:03:18 time: 0.3991 data_time: 0.0147 memory: 13431 grad_norm: 2.4522 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0484 loss: 3.0484 2022/08/14 10:38:39 - mmengine - INFO - Epoch(train) [65][400/3757] lr: 8.5355e-02 eta: 3 days, 8:02:38 time: 0.3977 data_time: 0.0141 memory: 13431 grad_norm: 2.4477 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9389 loss: 2.9389 2022/08/14 10:39:19 - mmengine - INFO - Epoch(train) [65][500/3757] lr: 8.5355e-02 eta: 3 days, 8:01:59 time: 0.3967 data_time: 0.0139 memory: 13431 grad_norm: 2.4250 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 2.9938 loss: 2.9938 2022/08/14 10:39:40 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 10:39:59 - mmengine - INFO - Epoch(train) [65][600/3757] lr: 8.5355e-02 eta: 3 days, 8:01:19 time: 0.3985 data_time: 0.0180 memory: 13431 grad_norm: 2.3953 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8424 loss: 2.8424 2022/08/14 10:40:39 - mmengine - INFO - Epoch(train) [65][700/3757] lr: 8.5355e-02 eta: 3 days, 8:00:39 time: 0.3989 data_time: 0.0147 memory: 13431 grad_norm: 2.4117 top1_acc: 0.0000 top5_acc: 0.7500 loss_cls: 3.0577 loss: 3.0577 2022/08/14 10:41:19 - mmengine - INFO - Epoch(train) [65][800/3757] lr: 8.5355e-02 eta: 3 days, 7:59:59 time: 0.3980 data_time: 0.0137 memory: 13431 grad_norm: 2.4506 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6745 loss: 2.6745 2022/08/14 10:42:00 - mmengine - INFO - Epoch(train) [65][900/3757] lr: 8.5355e-02 eta: 3 days, 7:59:20 time: 0.4015 data_time: 0.0152 memory: 13431 grad_norm: 2.3801 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9768 loss: 2.9768 2022/08/14 10:42:41 - mmengine - INFO - Epoch(train) [65][1000/3757] lr: 8.5355e-02 eta: 3 days, 7:58:44 time: 0.3993 data_time: 0.0142 memory: 13431 grad_norm: 2.4394 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8827 loss: 2.8827 2022/08/14 10:43:21 - mmengine - INFO - Epoch(train) [65][1100/3757] lr: 8.5355e-02 eta: 3 days, 7:58:05 time: 0.3978 data_time: 0.0143 memory: 13431 grad_norm: 2.4800 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8118 loss: 2.8118 2022/08/14 10:44:02 - mmengine - INFO - Epoch(train) [65][1200/3757] lr: 8.5355e-02 eta: 3 days, 7:57:25 time: 0.3964 data_time: 0.0142 memory: 13431 grad_norm: 2.4563 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5369 loss: 2.5369 2022/08/14 10:44:42 - mmengine - INFO - Epoch(train) [65][1300/3757] lr: 8.5355e-02 eta: 3 days, 7:56:45 time: 0.3960 data_time: 0.0137 memory: 13431 grad_norm: 2.4028 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1707 loss: 3.1707 2022/08/14 10:45:22 - mmengine - INFO - Epoch(train) [65][1400/3757] lr: 8.5355e-02 eta: 3 days, 7:56:05 time: 0.3989 data_time: 0.0144 memory: 13431 grad_norm: 2.3721 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0762 loss: 3.0762 2022/08/14 10:46:02 - mmengine - INFO - Epoch(train) [65][1500/3757] lr: 8.5355e-02 eta: 3 days, 7:55:25 time: 0.3976 data_time: 0.0139 memory: 13431 grad_norm: 2.4345 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.8931 loss: 2.8931 2022/08/14 10:46:23 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 10:46:42 - mmengine - INFO - Epoch(train) [65][1600/3757] lr: 8.5355e-02 eta: 3 days, 7:54:45 time: 0.3967 data_time: 0.0143 memory: 13431 grad_norm: 2.4786 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9100 loss: 2.9100 2022/08/14 10:47:22 - mmengine - INFO - Epoch(train) [65][1700/3757] lr: 8.5355e-02 eta: 3 days, 7:54:06 time: 0.3991 data_time: 0.0143 memory: 13431 grad_norm: 2.4138 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.8753 loss: 2.8753 2022/08/14 10:48:02 - mmengine - INFO - Epoch(train) [65][1800/3757] lr: 8.5355e-02 eta: 3 days, 7:53:27 time: 0.3975 data_time: 0.0144 memory: 13431 grad_norm: 2.3907 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.9839 loss: 2.9839 2022/08/14 10:48:43 - mmengine - INFO - Epoch(train) [65][1900/3757] lr: 8.5355e-02 eta: 3 days, 7:52:47 time: 0.3966 data_time: 0.0146 memory: 13431 grad_norm: 2.5142 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8523 loss: 2.8523 2022/08/14 10:49:23 - mmengine - INFO - Epoch(train) [65][2000/3757] lr: 8.5355e-02 eta: 3 days, 7:52:07 time: 0.3967 data_time: 0.0138 memory: 13431 grad_norm: 2.4334 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0353 loss: 3.0353 2022/08/14 10:50:03 - mmengine - INFO - Epoch(train) [65][2100/3757] lr: 8.5355e-02 eta: 3 days, 7:51:27 time: 0.3980 data_time: 0.0132 memory: 13431 grad_norm: 2.4262 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1426 loss: 3.1426 2022/08/14 10:50:43 - mmengine - INFO - Epoch(train) [65][2200/3757] lr: 8.5355e-02 eta: 3 days, 7:50:47 time: 0.3961 data_time: 0.0142 memory: 13431 grad_norm: 2.4514 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.9640 loss: 2.9640 2022/08/14 10:51:23 - mmengine - INFO - Epoch(train) [65][2300/3757] lr: 8.5355e-02 eta: 3 days, 7:50:07 time: 0.4046 data_time: 0.0142 memory: 13431 grad_norm: 2.4273 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0066 loss: 3.0066 2022/08/14 10:52:03 - mmengine - INFO - Epoch(train) [65][2400/3757] lr: 8.5355e-02 eta: 3 days, 7:49:28 time: 0.3980 data_time: 0.0140 memory: 13431 grad_norm: 2.3338 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8273 loss: 2.8273 2022/08/14 10:52:43 - mmengine - INFO - Epoch(train) [65][2500/3757] lr: 8.5355e-02 eta: 3 days, 7:48:49 time: 0.3989 data_time: 0.0136 memory: 13431 grad_norm: 2.4322 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1972 loss: 3.1972 2022/08/14 10:53:04 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 10:53:24 - mmengine - INFO - Epoch(train) [65][2600/3757] lr: 8.5355e-02 eta: 3 days, 7:48:09 time: 0.3983 data_time: 0.0153 memory: 13431 grad_norm: 2.4548 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3528 loss: 3.3528 2022/08/14 10:54:04 - mmengine - INFO - Epoch(train) [65][2700/3757] lr: 8.5355e-02 eta: 3 days, 7:47:30 time: 0.3978 data_time: 0.0146 memory: 13431 grad_norm: 2.4153 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.9409 loss: 2.9409 2022/08/14 10:54:44 - mmengine - INFO - Epoch(train) [65][2800/3757] lr: 8.5355e-02 eta: 3 days, 7:46:50 time: 0.4021 data_time: 0.0150 memory: 13431 grad_norm: 2.4586 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7865 loss: 2.7865 2022/08/14 10:55:24 - mmengine - INFO - Epoch(train) [65][2900/3757] lr: 8.5355e-02 eta: 3 days, 7:46:09 time: 0.3965 data_time: 0.0138 memory: 13431 grad_norm: 2.3999 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9788 loss: 2.9788 2022/08/14 10:56:04 - mmengine - INFO - Epoch(train) [65][3000/3757] lr: 8.5355e-02 eta: 3 days, 7:45:29 time: 0.3986 data_time: 0.0152 memory: 13431 grad_norm: 2.4943 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7557 loss: 2.7557 2022/08/14 10:56:44 - mmengine - INFO - Epoch(train) [65][3100/3757] lr: 8.5355e-02 eta: 3 days, 7:44:50 time: 0.3995 data_time: 0.0140 memory: 13431 grad_norm: 2.3623 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.0479 loss: 3.0479 2022/08/14 10:57:24 - mmengine - INFO - Epoch(train) [65][3200/3757] lr: 8.5355e-02 eta: 3 days, 7:44:11 time: 0.3959 data_time: 0.0138 memory: 13431 grad_norm: 2.4415 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8919 loss: 2.8919 2022/08/14 10:58:04 - mmengine - INFO - Epoch(train) [65][3300/3757] lr: 8.5355e-02 eta: 3 days, 7:43:31 time: 0.3971 data_time: 0.0137 memory: 13431 grad_norm: 2.4441 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 3.0220 loss: 3.0220 2022/08/14 10:58:45 - mmengine - INFO - Epoch(train) [65][3400/3757] lr: 8.5355e-02 eta: 3 days, 7:42:51 time: 0.3985 data_time: 0.0145 memory: 13431 grad_norm: 2.3947 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0486 loss: 3.0486 2022/08/14 10:59:25 - mmengine - INFO - Epoch(train) [65][3500/3757] lr: 8.5355e-02 eta: 3 days, 7:42:11 time: 0.3990 data_time: 0.0138 memory: 13431 grad_norm: 2.3514 top1_acc: 0.1250 top5_acc: 1.0000 loss_cls: 2.6247 loss: 2.6247 2022/08/14 10:59:45 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 11:00:05 - mmengine - INFO - Epoch(train) [65][3600/3757] lr: 8.5355e-02 eta: 3 days, 7:41:31 time: 0.3971 data_time: 0.0148 memory: 13431 grad_norm: 2.3640 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8620 loss: 2.8620 2022/08/14 11:00:44 - mmengine - INFO - Epoch(train) [65][3700/3757] lr: 8.5355e-02 eta: 3 days, 7:40:51 time: 0.3963 data_time: 0.0141 memory: 13431 grad_norm: 2.3433 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9254 loss: 2.9254 2022/08/14 11:01:07 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 11:01:07 - mmengine - INFO - Epoch(train) [65][3757/3757] lr: 8.5355e-02 eta: 3 days, 7:40:35 time: 0.3911 data_time: 0.0137 memory: 13431 grad_norm: 2.3806 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.7772 loss: 2.7772 2022/08/14 11:01:30 - mmengine - INFO - Epoch(val) [65][100/310] eta: 0:00:42 time: 0.2041 data_time: 0.0739 memory: 1974 2022/08/14 11:01:52 - mmengine - INFO - Epoch(val) [65][200/310] eta: 0:00:22 time: 0.2042 data_time: 0.0757 memory: 1974 2022/08/14 11:02:13 - mmengine - INFO - Epoch(val) [65][300/310] eta: 0:00:02 time: 0.2041 data_time: 0.0761 memory: 1974 2022/08/14 11:02:18 - mmengine - INFO - Epoch(val) [65][310/310] acc/top1: 0.4269 acc/top5: 0.7023 acc/mean1: 0.4268 2022/08/14 11:02:18 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_56.pth is removed 2022/08/14 11:02:21 - mmengine - INFO - The best checkpoint with 0.4269 acc/top1 at 66 epoch is saved to best_acc/top1_epoch_66.pth. 2022/08/14 11:03:02 - mmengine - INFO - Epoch(train) [66][100/3757] lr: 8.4919e-02 eta: 3 days, 7:39:32 time: 0.4028 data_time: 0.0142 memory: 13431 grad_norm: 2.3683 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5895 loss: 2.5895 2022/08/14 11:03:43 - mmengine - INFO - Epoch(train) [66][200/3757] lr: 8.4919e-02 eta: 3 days, 7:38:52 time: 0.4043 data_time: 0.0163 memory: 13431 grad_norm: 2.3978 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.1171 loss: 3.1171 2022/08/14 11:04:23 - mmengine - INFO - Epoch(train) [66][300/3757] lr: 8.4919e-02 eta: 3 days, 7:38:12 time: 0.3976 data_time: 0.0145 memory: 13431 grad_norm: 2.4061 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6766 loss: 2.6766 2022/08/14 11:05:03 - mmengine - INFO - Epoch(train) [66][400/3757] lr: 8.4919e-02 eta: 3 days, 7:37:33 time: 0.3991 data_time: 0.0139 memory: 13431 grad_norm: 2.4237 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.8228 loss: 2.8228 2022/08/14 11:05:43 - mmengine - INFO - Epoch(train) [66][500/3757] lr: 8.4919e-02 eta: 3 days, 7:36:52 time: 0.3987 data_time: 0.0150 memory: 13431 grad_norm: 2.3477 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8218 loss: 2.8218 2022/08/14 11:06:23 - mmengine - INFO - Epoch(train) [66][600/3757] lr: 8.4919e-02 eta: 3 days, 7:36:13 time: 0.4015 data_time: 0.0141 memory: 13431 grad_norm: 2.4213 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9282 loss: 2.9282 2022/08/14 11:07:03 - mmengine - INFO - Epoch(train) [66][700/3757] lr: 8.4919e-02 eta: 3 days, 7:35:34 time: 0.3976 data_time: 0.0132 memory: 13431 grad_norm: 2.3821 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9393 loss: 2.9393 2022/08/14 11:07:42 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 11:07:44 - mmengine - INFO - Epoch(train) [66][800/3757] lr: 8.4919e-02 eta: 3 days, 7:34:54 time: 0.3987 data_time: 0.0139 memory: 13431 grad_norm: 2.3448 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2617 loss: 3.2617 2022/08/14 11:08:24 - mmengine - INFO - Epoch(train) [66][900/3757] lr: 8.4919e-02 eta: 3 days, 7:34:15 time: 0.4042 data_time: 0.0135 memory: 13431 grad_norm: 2.3670 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0259 loss: 3.0259 2022/08/14 11:09:04 - mmengine - INFO - Epoch(train) [66][1000/3757] lr: 8.4919e-02 eta: 3 days, 7:33:34 time: 0.3970 data_time: 0.0142 memory: 13431 grad_norm: 2.4150 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8476 loss: 2.8476 2022/08/14 11:09:44 - mmengine - INFO - Epoch(train) [66][1100/3757] lr: 8.4919e-02 eta: 3 days, 7:32:55 time: 0.3976 data_time: 0.0150 memory: 13431 grad_norm: 2.4157 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8432 loss: 2.8432 2022/08/14 11:10:24 - mmengine - INFO - Epoch(train) [66][1200/3757] lr: 8.4919e-02 eta: 3 days, 7:32:14 time: 0.3967 data_time: 0.0147 memory: 13431 grad_norm: 2.4361 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.2741 loss: 3.2741 2022/08/14 11:11:04 - mmengine - INFO - Epoch(train) [66][1300/3757] lr: 8.4919e-02 eta: 3 days, 7:31:35 time: 0.4011 data_time: 0.0141 memory: 13431 grad_norm: 2.4540 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7500 loss: 2.7500 2022/08/14 11:11:44 - mmengine - INFO - Epoch(train) [66][1400/3757] lr: 8.4919e-02 eta: 3 days, 7:30:55 time: 0.3967 data_time: 0.0142 memory: 13431 grad_norm: 2.4379 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8461 loss: 2.8461 2022/08/14 11:12:24 - mmengine - INFO - Epoch(train) [66][1500/3757] lr: 8.4919e-02 eta: 3 days, 7:30:16 time: 0.3981 data_time: 0.0136 memory: 13431 grad_norm: 2.4542 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2440 loss: 3.2440 2022/08/14 11:13:04 - mmengine - INFO - Epoch(train) [66][1600/3757] lr: 8.4919e-02 eta: 3 days, 7:29:36 time: 0.4066 data_time: 0.0141 memory: 13431 grad_norm: 2.4031 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6018 loss: 2.6018 2022/08/14 11:13:44 - mmengine - INFO - Epoch(train) [66][1700/3757] lr: 8.4919e-02 eta: 3 days, 7:28:56 time: 0.3979 data_time: 0.0139 memory: 13431 grad_norm: 2.3566 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.8309 loss: 2.8309 2022/08/14 11:14:22 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 11:14:24 - mmengine - INFO - Epoch(train) [66][1800/3757] lr: 8.4919e-02 eta: 3 days, 7:28:16 time: 0.3982 data_time: 0.0142 memory: 13431 grad_norm: 2.4579 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0323 loss: 3.0323 2022/08/14 11:15:05 - mmengine - INFO - Epoch(train) [66][1900/3757] lr: 8.4919e-02 eta: 3 days, 7:27:36 time: 0.3986 data_time: 0.0149 memory: 13431 grad_norm: 2.4809 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8549 loss: 2.8549 2022/08/14 11:15:45 - mmengine - INFO - Epoch(train) [66][2000/3757] lr: 8.4919e-02 eta: 3 days, 7:26:57 time: 0.4009 data_time: 0.0143 memory: 13431 grad_norm: 2.4880 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1594 loss: 3.1594 2022/08/14 11:16:25 - mmengine - INFO - Epoch(train) [66][2100/3757] lr: 8.4919e-02 eta: 3 days, 7:26:17 time: 0.3982 data_time: 0.0156 memory: 13431 grad_norm: 2.4168 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5992 loss: 2.5992 2022/08/14 11:17:05 - mmengine - INFO - Epoch(train) [66][2200/3757] lr: 8.4919e-02 eta: 3 days, 7:25:38 time: 0.3978 data_time: 0.0143 memory: 13431 grad_norm: 2.3865 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9493 loss: 2.9493 2022/08/14 11:17:45 - mmengine - INFO - Epoch(train) [66][2300/3757] lr: 8.4919e-02 eta: 3 days, 7:24:58 time: 0.4018 data_time: 0.0145 memory: 13431 grad_norm: 2.3998 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9304 loss: 2.9304 2022/08/14 11:18:26 - mmengine - INFO - Epoch(train) [66][2400/3757] lr: 8.4919e-02 eta: 3 days, 7:24:19 time: 0.3998 data_time: 0.0139 memory: 13431 grad_norm: 2.4742 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.2134 loss: 3.2134 2022/08/14 11:19:06 - mmengine - INFO - Epoch(train) [66][2500/3757] lr: 8.4919e-02 eta: 3 days, 7:23:39 time: 0.4011 data_time: 0.0133 memory: 13431 grad_norm: 2.3986 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7553 loss: 2.7553 2022/08/14 11:19:46 - mmengine - INFO - Epoch(train) [66][2600/3757] lr: 8.4919e-02 eta: 3 days, 7:22:59 time: 0.3996 data_time: 0.0139 memory: 13431 grad_norm: 2.4493 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9322 loss: 2.9322 2022/08/14 11:20:26 - mmengine - INFO - Epoch(train) [66][2700/3757] lr: 8.4919e-02 eta: 3 days, 7:22:20 time: 0.4014 data_time: 0.0143 memory: 13431 grad_norm: 2.4122 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9653 loss: 2.9653 2022/08/14 11:21:04 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 11:21:06 - mmengine - INFO - Epoch(train) [66][2800/3757] lr: 8.4919e-02 eta: 3 days, 7:21:40 time: 0.4006 data_time: 0.0150 memory: 13431 grad_norm: 2.4715 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9062 loss: 2.9062 2022/08/14 11:21:46 - mmengine - INFO - Epoch(train) [66][2900/3757] lr: 8.4919e-02 eta: 3 days, 7:21:00 time: 0.3979 data_time: 0.0141 memory: 13431 grad_norm: 2.3910 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8725 loss: 2.8725 2022/08/14 11:22:27 - mmengine - INFO - Epoch(train) [66][3000/3757] lr: 8.4919e-02 eta: 3 days, 7:20:21 time: 0.4028 data_time: 0.0153 memory: 13431 grad_norm: 2.3620 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7725 loss: 2.7725 2022/08/14 11:23:07 - mmengine - INFO - Epoch(train) [66][3100/3757] lr: 8.4919e-02 eta: 3 days, 7:19:41 time: 0.3974 data_time: 0.0140 memory: 13431 grad_norm: 2.3201 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.0912 loss: 3.0912 2022/08/14 11:23:47 - mmengine - INFO - Epoch(train) [66][3200/3757] lr: 8.4919e-02 eta: 3 days, 7:19:01 time: 0.3978 data_time: 0.0141 memory: 13431 grad_norm: 2.3655 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0359 loss: 3.0359 2022/08/14 11:24:27 - mmengine - INFO - Epoch(train) [66][3300/3757] lr: 8.4919e-02 eta: 3 days, 7:18:21 time: 0.3984 data_time: 0.0178 memory: 13431 grad_norm: 2.4512 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6932 loss: 2.6932 2022/08/14 11:25:07 - mmengine - INFO - Epoch(train) [66][3400/3757] lr: 8.4919e-02 eta: 3 days, 7:17:42 time: 0.4019 data_time: 0.0147 memory: 13431 grad_norm: 2.3340 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9134 loss: 2.9134 2022/08/14 11:25:47 - mmengine - INFO - Epoch(train) [66][3500/3757] lr: 8.4919e-02 eta: 3 days, 7:17:03 time: 0.4004 data_time: 0.0145 memory: 13431 grad_norm: 2.4115 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8290 loss: 2.8290 2022/08/14 11:26:28 - mmengine - INFO - Epoch(train) [66][3600/3757] lr: 8.4919e-02 eta: 3 days, 7:16:23 time: 0.3989 data_time: 0.0144 memory: 13431 grad_norm: 2.4718 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.3259 loss: 3.3259 2022/08/14 11:27:08 - mmengine - INFO - Epoch(train) [66][3700/3757] lr: 8.4919e-02 eta: 3 days, 7:15:44 time: 0.4027 data_time: 0.0141 memory: 13431 grad_norm: 2.3749 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8171 loss: 2.8171 2022/08/14 11:27:30 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 11:27:30 - mmengine - INFO - Epoch(train) [66][3757/3757] lr: 8.4919e-02 eta: 3 days, 7:15:28 time: 0.3840 data_time: 0.0134 memory: 13431 grad_norm: 2.4442 top1_acc: 0.0000 top5_acc: 0.1429 loss_cls: 2.8369 loss: 2.8369 2022/08/14 11:27:48 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 11:28:13 - mmengine - INFO - Epoch(train) [67][100/3757] lr: 8.4477e-02 eta: 3 days, 7:14:28 time: 0.4003 data_time: 0.0156 memory: 13431 grad_norm: 2.3715 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7079 loss: 2.7079 2022/08/14 11:28:53 - mmengine - INFO - Epoch(train) [67][200/3757] lr: 8.4477e-02 eta: 3 days, 7:13:48 time: 0.4013 data_time: 0.0173 memory: 13431 grad_norm: 2.5106 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6965 loss: 2.6965 2022/08/14 11:29:33 - mmengine - INFO - Epoch(train) [67][300/3757] lr: 8.4477e-02 eta: 3 days, 7:13:08 time: 0.4072 data_time: 0.0147 memory: 13431 grad_norm: 2.4892 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0616 loss: 3.0616 2022/08/14 11:30:13 - mmengine - INFO - Epoch(train) [67][400/3757] lr: 8.4477e-02 eta: 3 days, 7:12:29 time: 0.4027 data_time: 0.0150 memory: 13431 grad_norm: 2.3807 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8876 loss: 2.8876 2022/08/14 11:30:54 - mmengine - INFO - Epoch(train) [67][500/3757] lr: 8.4477e-02 eta: 3 days, 7:11:49 time: 0.3980 data_time: 0.0141 memory: 13431 grad_norm: 2.4270 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9235 loss: 2.9235 2022/08/14 11:31:34 - mmengine - INFO - Epoch(train) [67][600/3757] lr: 8.4477e-02 eta: 3 days, 7:11:09 time: 0.3984 data_time: 0.0159 memory: 13431 grad_norm: 2.4024 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1176 loss: 3.1176 2022/08/14 11:32:14 - mmengine - INFO - Epoch(train) [67][700/3757] lr: 8.4477e-02 eta: 3 days, 7:10:30 time: 0.3989 data_time: 0.0142 memory: 13431 grad_norm: 2.4074 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8869 loss: 2.8869 2022/08/14 11:32:54 - mmengine - INFO - Epoch(train) [67][800/3757] lr: 8.4477e-02 eta: 3 days, 7:09:49 time: 0.3986 data_time: 0.0135 memory: 13431 grad_norm: 2.3488 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0128 loss: 3.0128 2022/08/14 11:33:34 - mmengine - INFO - Epoch(train) [67][900/3757] lr: 8.4477e-02 eta: 3 days, 7:09:10 time: 0.3986 data_time: 0.0139 memory: 13431 grad_norm: 2.4015 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7374 loss: 2.7374 2022/08/14 11:34:14 - mmengine - INFO - Epoch(train) [67][1000/3757] lr: 8.4477e-02 eta: 3 days, 7:08:30 time: 0.4061 data_time: 0.0135 memory: 13431 grad_norm: 2.4016 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2142 loss: 3.2142 2022/08/14 11:34:29 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 11:34:54 - mmengine - INFO - Epoch(train) [67][1100/3757] lr: 8.4477e-02 eta: 3 days, 7:07:51 time: 0.3991 data_time: 0.0154 memory: 13431 grad_norm: 2.3784 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.8108 loss: 2.8108 2022/08/14 11:35:35 - mmengine - INFO - Epoch(train) [67][1200/3757] lr: 8.4477e-02 eta: 3 days, 7:07:12 time: 0.3979 data_time: 0.0157 memory: 13431 grad_norm: 2.4175 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2246 loss: 3.2246 2022/08/14 11:36:15 - mmengine - INFO - Epoch(train) [67][1300/3757] lr: 8.4477e-02 eta: 3 days, 7:06:32 time: 0.3976 data_time: 0.0139 memory: 13431 grad_norm: 2.3591 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8422 loss: 2.8422 2022/08/14 11:36:55 - mmengine - INFO - Epoch(train) [67][1400/3757] lr: 8.4477e-02 eta: 3 days, 7:05:53 time: 0.4004 data_time: 0.0139 memory: 13431 grad_norm: 2.3808 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8181 loss: 2.8181 2022/08/14 11:37:35 - mmengine - INFO - Epoch(train) [67][1500/3757] lr: 8.4477e-02 eta: 3 days, 7:05:13 time: 0.3996 data_time: 0.0141 memory: 13431 grad_norm: 2.3808 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8719 loss: 2.8719 2022/08/14 11:38:15 - mmengine - INFO - Epoch(train) [67][1600/3757] lr: 8.4477e-02 eta: 3 days, 7:04:33 time: 0.3988 data_time: 0.0139 memory: 13431 grad_norm: 2.4034 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.8469 loss: 2.8469 2022/08/14 11:38:56 - mmengine - INFO - Epoch(train) [67][1700/3757] lr: 8.4477e-02 eta: 3 days, 7:03:54 time: 0.4025 data_time: 0.0151 memory: 13431 grad_norm: 2.3769 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9899 loss: 2.9899 2022/08/14 11:39:36 - mmengine - INFO - Epoch(train) [67][1800/3757] lr: 8.4477e-02 eta: 3 days, 7:03:15 time: 0.3967 data_time: 0.0143 memory: 13431 grad_norm: 2.4149 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0112 loss: 3.0112 2022/08/14 11:40:16 - mmengine - INFO - Epoch(train) [67][1900/3757] lr: 8.4477e-02 eta: 3 days, 7:02:36 time: 0.3972 data_time: 0.0136 memory: 13431 grad_norm: 2.4340 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6245 loss: 2.6245 2022/08/14 11:40:57 - mmengine - INFO - Epoch(train) [67][2000/3757] lr: 8.4477e-02 eta: 3 days, 7:01:56 time: 0.3977 data_time: 0.0134 memory: 13431 grad_norm: 2.4608 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9212 loss: 2.9212 2022/08/14 11:41:12 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 11:41:37 - mmengine - INFO - Epoch(train) [67][2100/3757] lr: 8.4477e-02 eta: 3 days, 7:01:17 time: 0.3974 data_time: 0.0137 memory: 13431 grad_norm: 2.4638 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9707 loss: 2.9707 2022/08/14 11:42:17 - mmengine - INFO - Epoch(train) [67][2200/3757] lr: 8.4477e-02 eta: 3 days, 7:00:37 time: 0.3990 data_time: 0.0158 memory: 13431 grad_norm: 2.4011 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 3.1288 loss: 3.1288 2022/08/14 11:42:57 - mmengine - INFO - Epoch(train) [67][2300/3757] lr: 8.4477e-02 eta: 3 days, 6:59:57 time: 0.3959 data_time: 0.0142 memory: 13431 grad_norm: 2.3877 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8537 loss: 2.8537 2022/08/14 11:43:37 - mmengine - INFO - Epoch(train) [67][2400/3757] lr: 8.4477e-02 eta: 3 days, 6:59:17 time: 0.4002 data_time: 0.0140 memory: 13431 grad_norm: 2.4142 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0055 loss: 3.0055 2022/08/14 11:44:17 - mmengine - INFO - Epoch(train) [67][2500/3757] lr: 8.4477e-02 eta: 3 days, 6:58:38 time: 0.3981 data_time: 0.0138 memory: 13431 grad_norm: 2.4279 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7563 loss: 2.7563 2022/08/14 11:44:58 - mmengine - INFO - Epoch(train) [67][2600/3757] lr: 8.4477e-02 eta: 3 days, 6:57:59 time: 0.3989 data_time: 0.0140 memory: 13431 grad_norm: 2.4251 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9563 loss: 2.9563 2022/08/14 11:45:38 - mmengine - INFO - Epoch(train) [67][2700/3757] lr: 8.4477e-02 eta: 3 days, 6:57:18 time: 0.3970 data_time: 0.0135 memory: 13431 grad_norm: 2.4262 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7026 loss: 2.7026 2022/08/14 11:46:18 - mmengine - INFO - Epoch(train) [67][2800/3757] lr: 8.4477e-02 eta: 3 days, 6:56:39 time: 0.3984 data_time: 0.0141 memory: 13431 grad_norm: 2.3904 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7956 loss: 2.7956 2022/08/14 11:46:58 - mmengine - INFO - Epoch(train) [67][2900/3757] lr: 8.4477e-02 eta: 3 days, 6:55:59 time: 0.3980 data_time: 0.0150 memory: 13431 grad_norm: 2.4341 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7254 loss: 2.7254 2022/08/14 11:47:38 - mmengine - INFO - Epoch(train) [67][3000/3757] lr: 8.4477e-02 eta: 3 days, 6:55:19 time: 0.3974 data_time: 0.0132 memory: 13431 grad_norm: 2.3908 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8307 loss: 2.8307 2022/08/14 11:47:53 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 11:48:18 - mmengine - INFO - Epoch(train) [67][3100/3757] lr: 8.4477e-02 eta: 3 days, 6:54:39 time: 0.3982 data_time: 0.0150 memory: 13431 grad_norm: 2.4048 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8953 loss: 2.8953 2022/08/14 11:48:58 - mmengine - INFO - Epoch(train) [67][3200/3757] lr: 8.4477e-02 eta: 3 days, 6:53:59 time: 0.3987 data_time: 0.0148 memory: 13431 grad_norm: 2.3936 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7188 loss: 2.7188 2022/08/14 11:49:38 - mmengine - INFO - Epoch(train) [67][3300/3757] lr: 8.4477e-02 eta: 3 days, 6:53:20 time: 0.4002 data_time: 0.0133 memory: 13431 grad_norm: 2.5436 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1030 loss: 3.1030 2022/08/14 11:50:18 - mmengine - INFO - Epoch(train) [67][3400/3757] lr: 8.4477e-02 eta: 3 days, 6:52:40 time: 0.3966 data_time: 0.0143 memory: 13431 grad_norm: 2.3958 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.8876 loss: 2.8876 2022/08/14 11:50:58 - mmengine - INFO - Epoch(train) [67][3500/3757] lr: 8.4477e-02 eta: 3 days, 6:52:00 time: 0.3971 data_time: 0.0141 memory: 13431 grad_norm: 2.3686 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0732 loss: 3.0732 2022/08/14 11:51:38 - mmengine - INFO - Epoch(train) [67][3600/3757] lr: 8.4477e-02 eta: 3 days, 6:51:20 time: 0.3983 data_time: 0.0134 memory: 13431 grad_norm: 2.4476 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4937 loss: 2.4937 2022/08/14 11:52:19 - mmengine - INFO - Epoch(train) [67][3700/3757] lr: 8.4477e-02 eta: 3 days, 6:50:40 time: 0.3970 data_time: 0.0141 memory: 13431 grad_norm: 2.4102 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.2748 loss: 3.2748 2022/08/14 11:52:41 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 11:52:41 - mmengine - INFO - Epoch(train) [67][3757/3757] lr: 8.4477e-02 eta: 3 days, 6:50:24 time: 0.3856 data_time: 0.0141 memory: 13431 grad_norm: 2.4445 top1_acc: 0.1429 top5_acc: 0.4286 loss_cls: 2.7788 loss: 2.7788 2022/08/14 11:53:24 - mmengine - INFO - Epoch(train) [68][100/3757] lr: 8.4030e-02 eta: 3 days, 6:49:26 time: 0.4006 data_time: 0.0159 memory: 13431 grad_norm: 2.4143 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2176 loss: 3.2176 2022/08/14 11:54:04 - mmengine - INFO - Epoch(train) [68][200/3757] lr: 8.4030e-02 eta: 3 days, 6:48:47 time: 0.4073 data_time: 0.0146 memory: 13431 grad_norm: 2.4093 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9116 loss: 2.9116 2022/08/14 11:54:37 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 11:54:44 - mmengine - INFO - Epoch(train) [68][300/3757] lr: 8.4030e-02 eta: 3 days, 6:48:07 time: 0.3960 data_time: 0.0142 memory: 13431 grad_norm: 2.4363 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8990 loss: 2.8990 2022/08/14 11:55:24 - mmengine - INFO - Epoch(train) [68][400/3757] lr: 8.4030e-02 eta: 3 days, 6:47:27 time: 0.3960 data_time: 0.0140 memory: 13431 grad_norm: 2.4381 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9257 loss: 2.9257 2022/08/14 11:56:04 - mmengine - INFO - Epoch(train) [68][500/3757] lr: 8.4030e-02 eta: 3 days, 6:46:47 time: 0.3985 data_time: 0.0152 memory: 13431 grad_norm: 2.3748 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8210 loss: 2.8210 2022/08/14 11:56:44 - mmengine - INFO - Epoch(train) [68][600/3757] lr: 8.4030e-02 eta: 3 days, 6:46:07 time: 0.3977 data_time: 0.0154 memory: 13431 grad_norm: 2.4141 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.8775 loss: 2.8775 2022/08/14 11:57:25 - mmengine - INFO - Epoch(train) [68][700/3757] lr: 8.4030e-02 eta: 3 days, 6:45:27 time: 0.3998 data_time: 0.0146 memory: 13431 grad_norm: 2.3421 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8885 loss: 2.8885 2022/08/14 11:58:05 - mmengine - INFO - Epoch(train) [68][800/3757] lr: 8.4030e-02 eta: 3 days, 6:44:48 time: 0.4026 data_time: 0.0149 memory: 13431 grad_norm: 2.3907 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0509 loss: 3.0509 2022/08/14 11:58:45 - mmengine - INFO - Epoch(train) [68][900/3757] lr: 8.4030e-02 eta: 3 days, 6:44:09 time: 0.4049 data_time: 0.0144 memory: 13431 grad_norm: 2.4336 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7181 loss: 2.7181 2022/08/14 11:59:25 - mmengine - INFO - Epoch(train) [68][1000/3757] lr: 8.4030e-02 eta: 3 days, 6:43:29 time: 0.3971 data_time: 0.0143 memory: 13431 grad_norm: 2.4002 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8674 loss: 2.8674 2022/08/14 12:00:09 - mmengine - INFO - Epoch(train) [68][1100/3757] lr: 8.4030e-02 eta: 3 days, 6:43:00 time: 0.6012 data_time: 0.0239 memory: 13431 grad_norm: 2.4413 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1115 loss: 3.1115 2022/08/14 12:00:50 - mmengine - INFO - Epoch(train) [68][1200/3757] lr: 8.4030e-02 eta: 3 days, 6:42:20 time: 0.3973 data_time: 0.0137 memory: 13431 grad_norm: 2.4195 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0318 loss: 3.0318 2022/08/14 12:01:22 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 12:01:29 - mmengine - INFO - Epoch(train) [68][1300/3757] lr: 8.4030e-02 eta: 3 days, 6:41:40 time: 0.3976 data_time: 0.0146 memory: 13431 grad_norm: 2.3845 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1580 loss: 3.1580 2022/08/14 12:02:09 - mmengine - INFO - Epoch(train) [68][1400/3757] lr: 8.4030e-02 eta: 3 days, 6:41:00 time: 0.3974 data_time: 0.0152 memory: 13431 grad_norm: 2.5047 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8506 loss: 2.8506 2022/08/14 12:02:50 - mmengine - INFO - Epoch(train) [68][1500/3757] lr: 8.4030e-02 eta: 3 days, 6:40:21 time: 0.3978 data_time: 0.0139 memory: 13431 grad_norm: 2.3847 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7191 loss: 2.7191 2022/08/14 12:03:30 - mmengine - INFO - Epoch(train) [68][1600/3757] lr: 8.4030e-02 eta: 3 days, 6:39:42 time: 0.4002 data_time: 0.0145 memory: 13431 grad_norm: 2.4179 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3228 loss: 3.3228 2022/08/14 12:04:11 - mmengine - INFO - Epoch(train) [68][1700/3757] lr: 8.4030e-02 eta: 3 days, 6:39:03 time: 0.3992 data_time: 0.0139 memory: 13431 grad_norm: 2.3346 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7960 loss: 2.7960 2022/08/14 12:04:51 - mmengine - INFO - Epoch(train) [68][1800/3757] lr: 8.4030e-02 eta: 3 days, 6:38:23 time: 0.3978 data_time: 0.0135 memory: 13431 grad_norm: 2.4434 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0289 loss: 3.0289 2022/08/14 12:05:31 - mmengine - INFO - Epoch(train) [68][1900/3757] lr: 8.4030e-02 eta: 3 days, 6:37:44 time: 0.3993 data_time: 0.0145 memory: 13431 grad_norm: 2.4866 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.9516 loss: 2.9516 2022/08/14 12:06:11 - mmengine - INFO - Epoch(train) [68][2000/3757] lr: 8.4030e-02 eta: 3 days, 6:37:04 time: 0.3991 data_time: 0.0146 memory: 13431 grad_norm: 2.5179 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1302 loss: 3.1302 2022/08/14 12:06:51 - mmengine - INFO - Epoch(train) [68][2100/3757] lr: 8.4030e-02 eta: 3 days, 6:36:25 time: 0.4004 data_time: 0.0149 memory: 13431 grad_norm: 2.4233 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2230 loss: 3.2230 2022/08/14 12:07:32 - mmengine - INFO - Epoch(train) [68][2200/3757] lr: 8.4030e-02 eta: 3 days, 6:35:46 time: 0.4057 data_time: 0.0154 memory: 13431 grad_norm: 2.4091 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7848 loss: 2.7848 2022/08/14 12:08:04 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 12:08:12 - mmengine - INFO - Epoch(train) [68][2300/3757] lr: 8.4030e-02 eta: 3 days, 6:35:07 time: 0.4071 data_time: 0.0144 memory: 13431 grad_norm: 2.3876 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0583 loss: 3.0583 2022/08/14 12:08:52 - mmengine - INFO - Epoch(train) [68][2400/3757] lr: 8.4030e-02 eta: 3 days, 6:34:27 time: 0.4005 data_time: 0.0142 memory: 13431 grad_norm: 2.4535 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0460 loss: 3.0460 2022/08/14 12:09:33 - mmengine - INFO - Epoch(train) [68][2500/3757] lr: 8.4030e-02 eta: 3 days, 6:33:47 time: 0.3997 data_time: 0.0157 memory: 13431 grad_norm: 2.3858 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8355 loss: 2.8355 2022/08/14 12:10:13 - mmengine - INFO - Epoch(train) [68][2600/3757] lr: 8.4030e-02 eta: 3 days, 6:33:07 time: 0.3996 data_time: 0.0148 memory: 13431 grad_norm: 2.4449 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.9754 loss: 2.9754 2022/08/14 12:10:53 - mmengine - INFO - Epoch(train) [68][2700/3757] lr: 8.4030e-02 eta: 3 days, 6:32:28 time: 0.3991 data_time: 0.0148 memory: 13431 grad_norm: 2.3732 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0441 loss: 3.0441 2022/08/14 12:11:33 - mmengine - INFO - Epoch(train) [68][2800/3757] lr: 8.4030e-02 eta: 3 days, 6:31:47 time: 0.4021 data_time: 0.0151 memory: 13431 grad_norm: 2.4728 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1956 loss: 3.1956 2022/08/14 12:12:13 - mmengine - INFO - Epoch(train) [68][2900/3757] lr: 8.4030e-02 eta: 3 days, 6:31:08 time: 0.4064 data_time: 0.0152 memory: 13431 grad_norm: 2.5759 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9184 loss: 2.9184 2022/08/14 12:12:53 - mmengine - INFO - Epoch(train) [68][3000/3757] lr: 8.4030e-02 eta: 3 days, 6:30:28 time: 0.4085 data_time: 0.0152 memory: 13431 grad_norm: 2.4782 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.9994 loss: 2.9994 2022/08/14 12:13:34 - mmengine - INFO - Epoch(train) [68][3100/3757] lr: 8.4030e-02 eta: 3 days, 6:29:49 time: 0.4003 data_time: 0.0144 memory: 13431 grad_norm: 2.3868 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.9210 loss: 2.9210 2022/08/14 12:14:14 - mmengine - INFO - Epoch(train) [68][3200/3757] lr: 8.4030e-02 eta: 3 days, 6:29:10 time: 0.4011 data_time: 0.0157 memory: 13431 grad_norm: 2.4784 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8844 loss: 2.8844 2022/08/14 12:14:46 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 12:14:54 - mmengine - INFO - Epoch(train) [68][3300/3757] lr: 8.4030e-02 eta: 3 days, 6:28:30 time: 0.3995 data_time: 0.0151 memory: 13431 grad_norm: 2.3591 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9273 loss: 2.9273 2022/08/14 12:15:34 - mmengine - INFO - Epoch(train) [68][3400/3757] lr: 8.4030e-02 eta: 3 days, 6:27:49 time: 0.3964 data_time: 0.0135 memory: 13431 grad_norm: 2.4458 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0422 loss: 3.0422 2022/08/14 12:16:14 - mmengine - INFO - Epoch(train) [68][3500/3757] lr: 8.4030e-02 eta: 3 days, 6:27:10 time: 0.4019 data_time: 0.0138 memory: 13431 grad_norm: 2.3411 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9093 loss: 2.9093 2022/08/14 12:16:54 - mmengine - INFO - Epoch(train) [68][3600/3757] lr: 8.4030e-02 eta: 3 days, 6:26:31 time: 0.4078 data_time: 0.0147 memory: 13431 grad_norm: 2.4160 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7216 loss: 2.7216 2022/08/14 12:17:35 - mmengine - INFO - Epoch(train) [68][3700/3757] lr: 8.4030e-02 eta: 3 days, 6:25:51 time: 0.3982 data_time: 0.0140 memory: 13431 grad_norm: 2.3777 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0244 loss: 3.0244 2022/08/14 12:17:57 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 12:17:57 - mmengine - INFO - Epoch(train) [68][3757/3757] lr: 8.4030e-02 eta: 3 days, 6:25:36 time: 0.3875 data_time: 0.0128 memory: 13431 grad_norm: 2.4061 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 2.6883 loss: 2.6883 2022/08/14 12:17:57 - mmengine - INFO - Saving checkpoint at 68 epochs 2022/08/14 12:18:44 - mmengine - INFO - Epoch(train) [69][100/3757] lr: 8.3578e-02 eta: 3 days, 6:24:34 time: 0.4051 data_time: 0.0141 memory: 13431 grad_norm: 2.4354 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0066 loss: 3.0066 2022/08/14 12:19:24 - mmengine - INFO - Epoch(train) [69][200/3757] lr: 8.3578e-02 eta: 3 days, 6:23:54 time: 0.3986 data_time: 0.0138 memory: 13431 grad_norm: 2.5098 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8599 loss: 2.8599 2022/08/14 12:20:04 - mmengine - INFO - Epoch(train) [69][300/3757] lr: 8.3578e-02 eta: 3 days, 6:23:14 time: 0.3990 data_time: 0.0141 memory: 13431 grad_norm: 2.4357 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7089 loss: 2.7089 2022/08/14 12:20:44 - mmengine - INFO - Epoch(train) [69][400/3757] lr: 8.3578e-02 eta: 3 days, 6:22:34 time: 0.3979 data_time: 0.0146 memory: 13431 grad_norm: 2.4136 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.9833 loss: 2.9833 2022/08/14 12:21:24 - mmengine - INFO - Epoch(train) [69][500/3757] lr: 8.3578e-02 eta: 3 days, 6:21:54 time: 0.4025 data_time: 0.0143 memory: 13431 grad_norm: 2.4136 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9038 loss: 2.9038 2022/08/14 12:21:34 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 12:22:04 - mmengine - INFO - Epoch(train) [69][600/3757] lr: 8.3578e-02 eta: 3 days, 6:21:14 time: 0.3983 data_time: 0.0141 memory: 13431 grad_norm: 2.4431 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7387 loss: 2.7387 2022/08/14 12:22:44 - mmengine - INFO - Epoch(train) [69][700/3757] lr: 8.3578e-02 eta: 3 days, 6:20:35 time: 0.4009 data_time: 0.0160 memory: 13431 grad_norm: 2.3299 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8459 loss: 2.8459 2022/08/14 12:23:24 - mmengine - INFO - Epoch(train) [69][800/3757] lr: 8.3578e-02 eta: 3 days, 6:19:55 time: 0.4072 data_time: 0.0141 memory: 13431 grad_norm: 2.4815 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2770 loss: 3.2770 2022/08/14 12:24:04 - mmengine - INFO - Epoch(train) [69][900/3757] lr: 8.3578e-02 eta: 3 days, 6:19:15 time: 0.3988 data_time: 0.0143 memory: 13431 grad_norm: 2.4382 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0017 loss: 3.0017 2022/08/14 12:24:45 - mmengine - INFO - Epoch(train) [69][1000/3757] lr: 8.3578e-02 eta: 3 days, 6:18:36 time: 0.3982 data_time: 0.0145 memory: 13431 grad_norm: 2.4705 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.8105 loss: 2.8105 2022/08/14 12:25:25 - mmengine - INFO - Epoch(train) [69][1100/3757] lr: 8.3578e-02 eta: 3 days, 6:17:56 time: 0.3984 data_time: 0.0144 memory: 13431 grad_norm: 2.3351 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6190 loss: 2.6190 2022/08/14 12:26:05 - mmengine - INFO - Epoch(train) [69][1200/3757] lr: 8.3578e-02 eta: 3 days, 6:17:16 time: 0.3986 data_time: 0.0145 memory: 13431 grad_norm: 2.4328 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0857 loss: 3.0857 2022/08/14 12:26:45 - mmengine - INFO - Epoch(train) [69][1300/3757] lr: 8.3578e-02 eta: 3 days, 6:16:37 time: 0.3972 data_time: 0.0146 memory: 13431 grad_norm: 2.4154 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8505 loss: 2.8505 2022/08/14 12:27:25 - mmengine - INFO - Epoch(train) [69][1400/3757] lr: 8.3578e-02 eta: 3 days, 6:15:57 time: 0.3999 data_time: 0.0157 memory: 13431 grad_norm: 2.4968 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0209 loss: 3.0209 2022/08/14 12:28:06 - mmengine - INFO - Epoch(train) [69][1500/3757] lr: 8.3578e-02 eta: 3 days, 6:15:18 time: 0.4082 data_time: 0.0149 memory: 13431 grad_norm: 2.4041 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7124 loss: 2.7124 2022/08/14 12:28:15 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 12:28:46 - mmengine - INFO - Epoch(train) [69][1600/3757] lr: 8.3578e-02 eta: 3 days, 6:14:37 time: 0.3977 data_time: 0.0148 memory: 13431 grad_norm: 2.4296 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0170 loss: 3.0170 2022/08/14 12:29:26 - mmengine - INFO - Epoch(train) [69][1700/3757] lr: 8.3578e-02 eta: 3 days, 6:13:57 time: 0.3984 data_time: 0.0139 memory: 13431 grad_norm: 2.4271 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1451 loss: 3.1451 2022/08/14 12:30:06 - mmengine - INFO - Epoch(train) [69][1800/3757] lr: 8.3578e-02 eta: 3 days, 6:13:18 time: 0.4061 data_time: 0.0143 memory: 13431 grad_norm: 2.4933 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9288 loss: 2.9288 2022/08/14 12:30:46 - mmengine - INFO - Epoch(train) [69][1900/3757] lr: 8.3578e-02 eta: 3 days, 6:12:38 time: 0.3994 data_time: 0.0161 memory: 13431 grad_norm: 2.4319 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0022 loss: 3.0022 2022/08/14 12:31:26 - mmengine - INFO - Epoch(train) [69][2000/3757] lr: 8.3578e-02 eta: 3 days, 6:11:59 time: 0.4025 data_time: 0.0146 memory: 13431 grad_norm: 2.5210 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9244 loss: 2.9244 2022/08/14 12:32:06 - mmengine - INFO - Epoch(train) [69][2100/3757] lr: 8.3578e-02 eta: 3 days, 6:11:19 time: 0.3981 data_time: 0.0141 memory: 13431 grad_norm: 2.4203 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7219 loss: 2.7219 2022/08/14 12:32:46 - mmengine - INFO - Epoch(train) [69][2200/3757] lr: 8.3578e-02 eta: 3 days, 6:10:39 time: 0.4068 data_time: 0.0144 memory: 13431 grad_norm: 2.5139 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0898 loss: 3.0898 2022/08/14 12:33:26 - mmengine - INFO - Epoch(train) [69][2300/3757] lr: 8.3578e-02 eta: 3 days, 6:09:59 time: 0.3966 data_time: 0.0144 memory: 13431 grad_norm: 2.4208 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7937 loss: 2.7937 2022/08/14 12:34:07 - mmengine - INFO - Epoch(train) [69][2400/3757] lr: 8.3578e-02 eta: 3 days, 6:09:19 time: 0.3989 data_time: 0.0145 memory: 13431 grad_norm: 2.3623 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2288 loss: 3.2288 2022/08/14 12:34:46 - mmengine - INFO - Epoch(train) [69][2500/3757] lr: 8.3578e-02 eta: 3 days, 6:08:39 time: 0.3987 data_time: 0.0153 memory: 13431 grad_norm: 2.3864 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8472 loss: 2.8472 2022/08/14 12:34:56 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 12:35:27 - mmengine - INFO - Epoch(train) [69][2600/3757] lr: 8.3578e-02 eta: 3 days, 6:07:59 time: 0.4001 data_time: 0.0144 memory: 13431 grad_norm: 2.3822 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6292 loss: 2.6292 2022/08/14 12:36:07 - mmengine - INFO - Epoch(train) [69][2700/3757] lr: 8.3578e-02 eta: 3 days, 6:07:20 time: 0.3976 data_time: 0.0155 memory: 13431 grad_norm: 2.4188 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9406 loss: 2.9406 2022/08/14 12:36:47 - mmengine - INFO - Epoch(train) [69][2800/3757] lr: 8.3578e-02 eta: 3 days, 6:06:41 time: 0.3995 data_time: 0.0151 memory: 13431 grad_norm: 2.4375 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8099 loss: 2.8099 2022/08/14 12:37:27 - mmengine - INFO - Epoch(train) [69][2900/3757] lr: 8.3578e-02 eta: 3 days, 6:06:01 time: 0.4052 data_time: 0.0152 memory: 13431 grad_norm: 2.4148 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9203 loss: 2.9203 2022/08/14 12:38:08 - mmengine - INFO - Epoch(train) [69][3000/3757] lr: 8.3578e-02 eta: 3 days, 6:05:21 time: 0.4003 data_time: 0.0138 memory: 13431 grad_norm: 2.5865 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9833 loss: 2.9833 2022/08/14 12:38:47 - mmengine - INFO - Epoch(train) [69][3100/3757] lr: 8.3578e-02 eta: 3 days, 6:04:41 time: 0.3968 data_time: 0.0156 memory: 13431 grad_norm: 2.4098 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6955 loss: 2.6955 2022/08/14 12:39:27 - mmengine - INFO - Epoch(train) [69][3200/3757] lr: 8.3578e-02 eta: 3 days, 6:04:01 time: 0.3978 data_time: 0.0156 memory: 13431 grad_norm: 2.4225 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1260 loss: 3.1260 2022/08/14 12:40:08 - mmengine - INFO - Epoch(train) [69][3300/3757] lr: 8.3578e-02 eta: 3 days, 6:03:21 time: 0.3986 data_time: 0.0141 memory: 13431 grad_norm: 2.4430 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.0087 loss: 3.0087 2022/08/14 12:40:48 - mmengine - INFO - Epoch(train) [69][3400/3757] lr: 8.3578e-02 eta: 3 days, 6:02:42 time: 0.3995 data_time: 0.0144 memory: 13431 grad_norm: 2.4091 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9618 loss: 2.9618 2022/08/14 12:41:28 - mmengine - INFO - Epoch(train) [69][3500/3757] lr: 8.3578e-02 eta: 3 days, 6:02:03 time: 0.3987 data_time: 0.0146 memory: 13431 grad_norm: 2.4362 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0482 loss: 3.0482 2022/08/14 12:41:38 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 12:42:08 - mmengine - INFO - Epoch(train) [69][3600/3757] lr: 8.3578e-02 eta: 3 days, 6:01:23 time: 0.3985 data_time: 0.0149 memory: 13431 grad_norm: 2.4291 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8527 loss: 2.8527 2022/08/14 12:42:49 - mmengine - INFO - Epoch(train) [69][3700/3757] lr: 8.3578e-02 eta: 3 days, 6:00:43 time: 0.3987 data_time: 0.0146 memory: 13431 grad_norm: 2.4813 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8529 loss: 2.8529 2022/08/14 12:43:11 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 12:43:11 - mmengine - INFO - Epoch(train) [69][3757/3757] lr: 8.3578e-02 eta: 3 days, 6:00:28 time: 0.3875 data_time: 0.0141 memory: 13431 grad_norm: 2.4346 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 2.4575 loss: 2.4575 2022/08/14 12:43:53 - mmengine - INFO - Epoch(train) [70][100/3757] lr: 8.3121e-02 eta: 3 days, 5:59:27 time: 0.3968 data_time: 0.0151 memory: 13431 grad_norm: 2.4383 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0224 loss: 3.0224 2022/08/14 12:44:33 - mmengine - INFO - Epoch(train) [70][200/3757] lr: 8.3121e-02 eta: 3 days, 5:58:47 time: 0.3966 data_time: 0.0143 memory: 13431 grad_norm: 2.4151 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1421 loss: 3.1421 2022/08/14 12:45:14 - mmengine - INFO - Epoch(train) [70][300/3757] lr: 8.3121e-02 eta: 3 days, 5:58:08 time: 0.3971 data_time: 0.0137 memory: 13431 grad_norm: 2.4287 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6466 loss: 2.6466 2022/08/14 12:45:54 - mmengine - INFO - Epoch(train) [70][400/3757] lr: 8.3121e-02 eta: 3 days, 5:57:29 time: 0.3998 data_time: 0.0148 memory: 13431 grad_norm: 2.5052 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.0190 loss: 3.0190 2022/08/14 12:46:34 - mmengine - INFO - Epoch(train) [70][500/3757] lr: 8.3121e-02 eta: 3 days, 5:56:50 time: 0.3983 data_time: 0.0150 memory: 13431 grad_norm: 2.3606 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8599 loss: 2.8599 2022/08/14 12:47:14 - mmengine - INFO - Epoch(train) [70][600/3757] lr: 8.3121e-02 eta: 3 days, 5:56:10 time: 0.3967 data_time: 0.0141 memory: 13431 grad_norm: 2.4557 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4271 loss: 2.4271 2022/08/14 12:47:54 - mmengine - INFO - Epoch(train) [70][700/3757] lr: 8.3121e-02 eta: 3 days, 5:55:30 time: 0.3997 data_time: 0.0141 memory: 13431 grad_norm: 2.3474 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8978 loss: 2.8978 2022/08/14 12:48:21 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 12:48:35 - mmengine - INFO - Epoch(train) [70][800/3757] lr: 8.3121e-02 eta: 3 days, 5:54:50 time: 0.3986 data_time: 0.0144 memory: 13431 grad_norm: 2.4515 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.9322 loss: 2.9322 2022/08/14 12:49:15 - mmengine - INFO - Epoch(train) [70][900/3757] lr: 8.3121e-02 eta: 3 days, 5:54:11 time: 0.3984 data_time: 0.0138 memory: 13431 grad_norm: 2.4336 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8208 loss: 2.8208 2022/08/14 12:49:55 - mmengine - INFO - Epoch(train) [70][1000/3757] lr: 8.3121e-02 eta: 3 days, 5:53:32 time: 0.3995 data_time: 0.0146 memory: 13431 grad_norm: 2.4180 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6387 loss: 2.6387 2022/08/14 12:50:35 - mmengine - INFO - Epoch(train) [70][1100/3757] lr: 8.3121e-02 eta: 3 days, 5:52:52 time: 0.3975 data_time: 0.0141 memory: 13431 grad_norm: 2.3800 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7456 loss: 2.7456 2022/08/14 12:51:16 - mmengine - INFO - Epoch(train) [70][1200/3757] lr: 8.3121e-02 eta: 3 days, 5:52:12 time: 0.3995 data_time: 0.0148 memory: 13431 grad_norm: 2.4497 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5663 loss: 2.5663 2022/08/14 12:51:56 - mmengine - INFO - Epoch(train) [70][1300/3757] lr: 8.3121e-02 eta: 3 days, 5:51:32 time: 0.3995 data_time: 0.0150 memory: 13431 grad_norm: 2.4849 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8805 loss: 2.8805 2022/08/14 12:52:36 - mmengine - INFO - Epoch(train) [70][1400/3757] lr: 8.3121e-02 eta: 3 days, 5:50:52 time: 0.3994 data_time: 0.0158 memory: 13431 grad_norm: 2.3836 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7962 loss: 2.7962 2022/08/14 12:53:16 - mmengine - INFO - Epoch(train) [70][1500/3757] lr: 8.3121e-02 eta: 3 days, 5:50:12 time: 0.3988 data_time: 0.0172 memory: 13431 grad_norm: 2.4527 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6343 loss: 2.6343 2022/08/14 12:53:56 - mmengine - INFO - Epoch(train) [70][1600/3757] lr: 8.3121e-02 eta: 3 days, 5:49:32 time: 0.4010 data_time: 0.0156 memory: 13431 grad_norm: 2.3681 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6768 loss: 2.6768 2022/08/14 12:54:36 - mmengine - INFO - Epoch(train) [70][1700/3757] lr: 8.3121e-02 eta: 3 days, 5:48:53 time: 0.3982 data_time: 0.0143 memory: 13431 grad_norm: 2.4752 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0264 loss: 3.0264 2022/08/14 12:55:03 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 12:55:16 - mmengine - INFO - Epoch(train) [70][1800/3757] lr: 8.3121e-02 eta: 3 days, 5:48:13 time: 0.3971 data_time: 0.0141 memory: 13431 grad_norm: 2.5132 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1916 loss: 3.1916 2022/08/14 12:55:56 - mmengine - INFO - Epoch(train) [70][1900/3757] lr: 8.3121e-02 eta: 3 days, 5:47:33 time: 0.4022 data_time: 0.0137 memory: 13431 grad_norm: 2.3821 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.8398 loss: 2.8398 2022/08/14 12:56:36 - mmengine - INFO - Epoch(train) [70][2000/3757] lr: 8.3121e-02 eta: 3 days, 5:46:54 time: 0.3988 data_time: 0.0137 memory: 13431 grad_norm: 2.3941 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.8838 loss: 2.8838 2022/08/14 12:57:16 - mmengine - INFO - Epoch(train) [70][2100/3757] lr: 8.3121e-02 eta: 3 days, 5:46:14 time: 0.3995 data_time: 0.0153 memory: 13431 grad_norm: 2.4520 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9312 loss: 2.9312 2022/08/14 12:57:56 - mmengine - INFO - Epoch(train) [70][2200/3757] lr: 8.3121e-02 eta: 3 days, 5:45:34 time: 0.4014 data_time: 0.0151 memory: 13431 grad_norm: 2.4042 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8104 loss: 2.8104 2022/08/14 12:58:37 - mmengine - INFO - Epoch(train) [70][2300/3757] lr: 8.3121e-02 eta: 3 days, 5:44:54 time: 0.3997 data_time: 0.0168 memory: 13431 grad_norm: 2.3891 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9177 loss: 2.9177 2022/08/14 12:59:17 - mmengine - INFO - Epoch(train) [70][2400/3757] lr: 8.3121e-02 eta: 3 days, 5:44:15 time: 0.4001 data_time: 0.0143 memory: 13431 grad_norm: 2.4700 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9973 loss: 2.9973 2022/08/14 12:59:57 - mmengine - INFO - Epoch(train) [70][2500/3757] lr: 8.3121e-02 eta: 3 days, 5:43:35 time: 0.4005 data_time: 0.0141 memory: 13431 grad_norm: 2.3978 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9989 loss: 2.9989 2022/08/14 13:00:37 - mmengine - INFO - Epoch(train) [70][2600/3757] lr: 8.3121e-02 eta: 3 days, 5:42:56 time: 0.4021 data_time: 0.0159 memory: 13431 grad_norm: 2.4321 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0183 loss: 3.0183 2022/08/14 13:01:18 - mmengine - INFO - Epoch(train) [70][2700/3757] lr: 8.3121e-02 eta: 3 days, 5:42:16 time: 0.4012 data_time: 0.0152 memory: 13431 grad_norm: 2.3662 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 3.0010 loss: 3.0010 2022/08/14 13:01:44 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 13:01:58 - mmengine - INFO - Epoch(train) [70][2800/3757] lr: 8.3121e-02 eta: 3 days, 5:41:36 time: 0.4033 data_time: 0.0146 memory: 13431 grad_norm: 2.3888 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2607 loss: 3.2607 2022/08/14 13:02:38 - mmengine - INFO - Epoch(train) [70][2900/3757] lr: 8.3121e-02 eta: 3 days, 5:40:57 time: 0.4039 data_time: 0.0150 memory: 13431 grad_norm: 2.3886 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0021 loss: 3.0021 2022/08/14 13:03:18 - mmengine - INFO - Epoch(train) [70][3000/3757] lr: 8.3121e-02 eta: 3 days, 5:40:17 time: 0.4046 data_time: 0.0161 memory: 13431 grad_norm: 2.3385 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8614 loss: 2.8614 2022/08/14 13:03:58 - mmengine - INFO - Epoch(train) [70][3100/3757] lr: 8.3121e-02 eta: 3 days, 5:39:38 time: 0.4064 data_time: 0.0143 memory: 13431 grad_norm: 2.3624 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5778 loss: 2.5778 2022/08/14 13:04:39 - mmengine - INFO - Epoch(train) [70][3200/3757] lr: 8.3121e-02 eta: 3 days, 5:38:58 time: 0.4049 data_time: 0.0169 memory: 13431 grad_norm: 2.5085 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7173 loss: 2.7173 2022/08/14 13:05:19 - mmengine - INFO - Epoch(train) [70][3300/3757] lr: 8.3121e-02 eta: 3 days, 5:38:19 time: 0.3993 data_time: 0.0152 memory: 13431 grad_norm: 2.4569 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8369 loss: 2.8369 2022/08/14 13:05:59 - mmengine - INFO - Epoch(train) [70][3400/3757] lr: 8.3121e-02 eta: 3 days, 5:37:39 time: 0.4019 data_time: 0.0164 memory: 13431 grad_norm: 2.3752 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8814 loss: 2.8814 2022/08/14 13:06:39 - mmengine - INFO - Epoch(train) [70][3500/3757] lr: 8.3121e-02 eta: 3 days, 5:36:59 time: 0.4003 data_time: 0.0139 memory: 13431 grad_norm: 2.3773 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 2.9764 loss: 2.9764 2022/08/14 13:07:19 - mmengine - INFO - Epoch(train) [70][3600/3757] lr: 8.3121e-02 eta: 3 days, 5:36:19 time: 0.3997 data_time: 0.0144 memory: 13431 grad_norm: 2.4461 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2853 loss: 3.2853 2022/08/14 13:07:59 - mmengine - INFO - Epoch(train) [70][3700/3757] lr: 8.3121e-02 eta: 3 days, 5:35:39 time: 0.3987 data_time: 0.0148 memory: 13431 grad_norm: 2.4308 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8964 loss: 2.8964 2022/08/14 13:08:22 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 13:08:22 - mmengine - INFO - Epoch(train) [70][3757/3757] lr: 8.3121e-02 eta: 3 days, 5:35:23 time: 0.3881 data_time: 0.0140 memory: 13431 grad_norm: 2.4736 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 2.9903 loss: 2.9903 2022/08/14 13:08:44 - mmengine - INFO - Epoch(val) [70][100/310] eta: 0:00:45 time: 0.2149 data_time: 0.0833 memory: 1974 2022/08/14 13:09:05 - mmengine - INFO - Epoch(val) [70][200/310] eta: 0:00:21 time: 0.1987 data_time: 0.0681 memory: 1974 2022/08/14 13:09:26 - mmengine - INFO - Epoch(val) [70][300/310] eta: 0:00:02 time: 0.2118 data_time: 0.0813 memory: 1974 2022/08/14 13:09:30 - mmengine - INFO - Epoch(val) [70][310/310] acc/top1: 0.4090 acc/top5: 0.6896 acc/mean1: 0.4089 2022/08/14 13:09:37 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 13:10:13 - mmengine - INFO - Epoch(train) [71][100/3757] lr: 8.2659e-02 eta: 3 days, 5:34:24 time: 0.4008 data_time: 0.0141 memory: 13431 grad_norm: 2.4824 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7081 loss: 2.7081 2022/08/14 13:10:53 - mmengine - INFO - Epoch(train) [71][200/3757] lr: 8.2659e-02 eta: 3 days, 5:33:44 time: 0.3985 data_time: 0.0150 memory: 13431 grad_norm: 2.3736 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1270 loss: 3.1270 2022/08/14 13:11:33 - mmengine - INFO - Epoch(train) [71][300/3757] lr: 8.2659e-02 eta: 3 days, 5:33:05 time: 0.3990 data_time: 0.0139 memory: 13431 grad_norm: 2.4927 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.9114 loss: 2.9114 2022/08/14 13:12:13 - mmengine - INFO - Epoch(train) [71][400/3757] lr: 8.2659e-02 eta: 3 days, 5:32:25 time: 0.3982 data_time: 0.0152 memory: 13431 grad_norm: 2.4586 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9521 loss: 2.9521 2022/08/14 13:12:53 - mmengine - INFO - Epoch(train) [71][500/3757] lr: 8.2659e-02 eta: 3 days, 5:31:45 time: 0.3986 data_time: 0.0142 memory: 13431 grad_norm: 2.3961 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8199 loss: 2.8199 2022/08/14 13:13:33 - mmengine - INFO - Epoch(train) [71][600/3757] lr: 8.2659e-02 eta: 3 days, 5:31:05 time: 0.4035 data_time: 0.0135 memory: 13431 grad_norm: 2.4238 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.8793 loss: 2.8793 2022/08/14 13:14:14 - mmengine - INFO - Epoch(train) [71][700/3757] lr: 8.2659e-02 eta: 3 days, 5:30:26 time: 0.4004 data_time: 0.0156 memory: 13431 grad_norm: 2.4502 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.9710 loss: 2.9710 2022/08/14 13:14:54 - mmengine - INFO - Epoch(train) [71][800/3757] lr: 8.2659e-02 eta: 3 days, 5:29:47 time: 0.3983 data_time: 0.0141 memory: 13431 grad_norm: 2.4636 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9484 loss: 2.9484 2022/08/14 13:15:34 - mmengine - INFO - Epoch(train) [71][900/3757] lr: 8.2659e-02 eta: 3 days, 5:29:07 time: 0.3974 data_time: 0.0135 memory: 13431 grad_norm: 2.4528 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9664 loss: 2.9664 2022/08/14 13:16:14 - mmengine - INFO - Epoch(train) [71][1000/3757] lr: 8.2659e-02 eta: 3 days, 5:28:27 time: 0.3991 data_time: 0.0145 memory: 13431 grad_norm: 2.4045 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8456 loss: 2.8456 2022/08/14 13:16:18 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 13:16:54 - mmengine - INFO - Epoch(train) [71][1100/3757] lr: 8.2659e-02 eta: 3 days, 5:27:48 time: 0.3988 data_time: 0.0155 memory: 13431 grad_norm: 2.4628 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5838 loss: 2.5838 2022/08/14 13:17:35 - mmengine - INFO - Epoch(train) [71][1200/3757] lr: 8.2659e-02 eta: 3 days, 5:27:08 time: 0.3988 data_time: 0.0145 memory: 13431 grad_norm: 2.4921 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8461 loss: 2.8461 2022/08/14 13:18:15 - mmengine - INFO - Epoch(train) [71][1300/3757] lr: 8.2659e-02 eta: 3 days, 5:26:29 time: 0.4037 data_time: 0.0152 memory: 13431 grad_norm: 2.5079 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0690 loss: 3.0690 2022/08/14 13:18:55 - mmengine - INFO - Epoch(train) [71][1400/3757] lr: 8.2659e-02 eta: 3 days, 5:25:49 time: 0.4007 data_time: 0.0154 memory: 13431 grad_norm: 2.4360 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6657 loss: 2.6657 2022/08/14 13:19:35 - mmengine - INFO - Epoch(train) [71][1500/3757] lr: 8.2659e-02 eta: 3 days, 5:25:10 time: 0.3986 data_time: 0.0154 memory: 13431 grad_norm: 2.3866 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6475 loss: 2.6475 2022/08/14 13:20:15 - mmengine - INFO - Epoch(train) [71][1600/3757] lr: 8.2659e-02 eta: 3 days, 5:24:30 time: 0.3974 data_time: 0.0142 memory: 13431 grad_norm: 2.4591 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9002 loss: 2.9002 2022/08/14 13:20:56 - mmengine - INFO - Epoch(train) [71][1700/3757] lr: 8.2659e-02 eta: 3 days, 5:23:51 time: 0.3999 data_time: 0.0144 memory: 13431 grad_norm: 2.5434 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.1664 loss: 3.1664 2022/08/14 13:21:36 - mmengine - INFO - Epoch(train) [71][1800/3757] lr: 8.2659e-02 eta: 3 days, 5:23:11 time: 0.3982 data_time: 0.0136 memory: 13431 grad_norm: 2.5047 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7128 loss: 2.7128 2022/08/14 13:22:16 - mmengine - INFO - Epoch(train) [71][1900/3757] lr: 8.2659e-02 eta: 3 days, 5:22:31 time: 0.3993 data_time: 0.0147 memory: 13431 grad_norm: 2.4477 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.9259 loss: 2.9259 2022/08/14 13:22:56 - mmengine - INFO - Epoch(train) [71][2000/3757] lr: 8.2659e-02 eta: 3 days, 5:21:51 time: 0.4065 data_time: 0.0149 memory: 13431 grad_norm: 2.4775 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8773 loss: 2.8773 2022/08/14 13:23:00 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 13:23:36 - mmengine - INFO - Epoch(train) [71][2100/3757] lr: 8.2659e-02 eta: 3 days, 5:21:12 time: 0.3990 data_time: 0.0154 memory: 13431 grad_norm: 2.4179 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 2.8598 loss: 2.8598 2022/08/14 13:24:17 - mmengine - INFO - Epoch(train) [71][2200/3757] lr: 8.2659e-02 eta: 3 days, 5:20:33 time: 0.3972 data_time: 0.0143 memory: 13431 grad_norm: 2.4920 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.9729 loss: 2.9729 2022/08/14 13:24:57 - mmengine - INFO - Epoch(train) [71][2300/3757] lr: 8.2659e-02 eta: 3 days, 5:19:53 time: 0.3977 data_time: 0.0162 memory: 13431 grad_norm: 2.4545 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9453 loss: 2.9453 2022/08/14 13:25:37 - mmengine - INFO - Epoch(train) [71][2400/3757] lr: 8.2659e-02 eta: 3 days, 5:19:13 time: 0.3967 data_time: 0.0143 memory: 13431 grad_norm: 2.5646 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0643 loss: 3.0643 2022/08/14 13:26:17 - mmengine - INFO - Epoch(train) [71][2500/3757] lr: 8.2659e-02 eta: 3 days, 5:18:33 time: 0.3987 data_time: 0.0145 memory: 13431 grad_norm: 2.4353 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3642 loss: 3.3642 2022/08/14 13:26:57 - mmengine - INFO - Epoch(train) [71][2600/3757] lr: 8.2659e-02 eta: 3 days, 5:17:53 time: 0.3992 data_time: 0.0146 memory: 13431 grad_norm: 2.4168 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6771 loss: 2.6771 2022/08/14 13:27:37 - mmengine - INFO - Epoch(train) [71][2700/3757] lr: 8.2659e-02 eta: 3 days, 5:17:14 time: 0.4077 data_time: 0.0145 memory: 13431 grad_norm: 2.3551 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9697 loss: 2.9697 2022/08/14 13:28:18 - mmengine - INFO - Epoch(train) [71][2800/3757] lr: 8.2659e-02 eta: 3 days, 5:16:34 time: 0.3979 data_time: 0.0135 memory: 13431 grad_norm: 2.3912 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9959 loss: 2.9959 2022/08/14 13:28:58 - mmengine - INFO - Epoch(train) [71][2900/3757] lr: 8.2659e-02 eta: 3 days, 5:15:55 time: 0.3974 data_time: 0.0135 memory: 13431 grad_norm: 2.4091 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1010 loss: 3.1010 2022/08/14 13:29:38 - mmengine - INFO - Epoch(train) [71][3000/3757] lr: 8.2659e-02 eta: 3 days, 5:15:16 time: 0.3979 data_time: 0.0140 memory: 13431 grad_norm: 2.5365 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0249 loss: 3.0249 2022/08/14 13:29:42 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 13:30:18 - mmengine - INFO - Epoch(train) [71][3100/3757] lr: 8.2659e-02 eta: 3 days, 5:14:36 time: 0.3986 data_time: 0.0141 memory: 13431 grad_norm: 2.4822 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8425 loss: 2.8425 2022/08/14 13:30:58 - mmengine - INFO - Epoch(train) [71][3200/3757] lr: 8.2659e-02 eta: 3 days, 5:13:56 time: 0.3981 data_time: 0.0143 memory: 13431 grad_norm: 2.5219 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.9326 loss: 2.9326 2022/08/14 13:31:38 - mmengine - INFO - Epoch(train) [71][3300/3757] lr: 8.2659e-02 eta: 3 days, 5:13:16 time: 0.3989 data_time: 0.0149 memory: 13431 grad_norm: 2.4697 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0180 loss: 3.0180 2022/08/14 13:32:19 - mmengine - INFO - Epoch(train) [71][3400/3757] lr: 8.2659e-02 eta: 3 days, 5:12:37 time: 0.4099 data_time: 0.0139 memory: 13431 grad_norm: 2.4335 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9645 loss: 2.9645 2022/08/14 13:32:59 - mmengine - INFO - Epoch(train) [71][3500/3757] lr: 8.2659e-02 eta: 3 days, 5:11:57 time: 0.3972 data_time: 0.0134 memory: 13431 grad_norm: 2.4805 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8183 loss: 2.8183 2022/08/14 13:33:39 - mmengine - INFO - Epoch(train) [71][3600/3757] lr: 8.2659e-02 eta: 3 days, 5:11:18 time: 0.3993 data_time: 0.0146 memory: 13431 grad_norm: 2.3807 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5065 loss: 2.5065 2022/08/14 13:34:20 - mmengine - INFO - Epoch(train) [71][3700/3757] lr: 8.2659e-02 eta: 3 days, 5:10:38 time: 0.3984 data_time: 0.0144 memory: 13431 grad_norm: 2.3896 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7727 loss: 2.7727 2022/08/14 13:34:42 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 13:34:42 - mmengine - INFO - Epoch(train) [71][3757/3757] lr: 8.2659e-02 eta: 3 days, 5:10:23 time: 0.3889 data_time: 0.0146 memory: 13431 grad_norm: 2.5183 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 3.0073 loss: 3.0073 2022/08/14 13:35:25 - mmengine - INFO - Epoch(train) [72][100/3757] lr: 8.2192e-02 eta: 3 days, 5:09:24 time: 0.3990 data_time: 0.0141 memory: 13431 grad_norm: 2.4100 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.8985 loss: 2.8985 2022/08/14 13:36:05 - mmengine - INFO - Epoch(train) [72][200/3757] lr: 8.2192e-02 eta: 3 days, 5:08:44 time: 0.4011 data_time: 0.0144 memory: 13431 grad_norm: 2.4537 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6220 loss: 2.6220 2022/08/14 13:36:26 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 13:36:45 - mmengine - INFO - Epoch(train) [72][300/3757] lr: 8.2192e-02 eta: 3 days, 5:08:04 time: 0.3977 data_time: 0.0141 memory: 13431 grad_norm: 2.4207 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1291 loss: 3.1291 2022/08/14 13:37:25 - mmengine - INFO - Epoch(train) [72][400/3757] lr: 8.2192e-02 eta: 3 days, 5:07:25 time: 0.3976 data_time: 0.0139 memory: 13431 grad_norm: 2.5317 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9774 loss: 2.9774 2022/08/14 13:38:05 - mmengine - INFO - Epoch(train) [72][500/3757] lr: 8.2192e-02 eta: 3 days, 5:06:45 time: 0.3975 data_time: 0.0129 memory: 13431 grad_norm: 2.4444 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7922 loss: 2.7922 2022/08/14 13:38:46 - mmengine - INFO - Epoch(train) [72][600/3757] lr: 8.2192e-02 eta: 3 days, 5:06:06 time: 0.4080 data_time: 0.0138 memory: 13431 grad_norm: 2.5089 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9615 loss: 2.9615 2022/08/14 13:39:26 - mmengine - INFO - Epoch(train) [72][700/3757] lr: 8.2192e-02 eta: 3 days, 5:05:26 time: 0.3984 data_time: 0.0152 memory: 13431 grad_norm: 2.3500 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1268 loss: 3.1268 2022/08/14 13:40:06 - mmengine - INFO - Epoch(train) [72][800/3757] lr: 8.2192e-02 eta: 3 days, 5:04:47 time: 0.3997 data_time: 0.0142 memory: 13431 grad_norm: 2.4811 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7432 loss: 2.7432 2022/08/14 13:40:46 - mmengine - INFO - Epoch(train) [72][900/3757] lr: 8.2192e-02 eta: 3 days, 5:04:07 time: 0.3999 data_time: 0.0143 memory: 13431 grad_norm: 2.5012 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.8927 loss: 2.8927 2022/08/14 13:41:26 - mmengine - INFO - Epoch(train) [72][1000/3757] lr: 8.2192e-02 eta: 3 days, 5:03:27 time: 0.3981 data_time: 0.0140 memory: 13431 grad_norm: 2.4985 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9022 loss: 2.9022 2022/08/14 13:42:07 - mmengine - INFO - Epoch(train) [72][1100/3757] lr: 8.2192e-02 eta: 3 days, 5:02:48 time: 0.4005 data_time: 0.0142 memory: 13431 grad_norm: 2.5355 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8781 loss: 2.8781 2022/08/14 13:42:47 - mmengine - INFO - Epoch(train) [72][1200/3757] lr: 8.2192e-02 eta: 3 days, 5:02:09 time: 0.4088 data_time: 0.0139 memory: 13431 grad_norm: 2.5152 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7974 loss: 2.7974 2022/08/14 13:43:08 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 13:43:27 - mmengine - INFO - Epoch(train) [72][1300/3757] lr: 8.2192e-02 eta: 3 days, 5:01:29 time: 0.3994 data_time: 0.0132 memory: 13431 grad_norm: 2.4444 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.7020 loss: 2.7020 2022/08/14 13:44:07 - mmengine - INFO - Epoch(train) [72][1400/3757] lr: 8.2192e-02 eta: 3 days, 5:00:50 time: 0.4000 data_time: 0.0163 memory: 13431 grad_norm: 2.5309 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6566 loss: 2.6566 2022/08/14 13:44:47 - mmengine - INFO - Epoch(train) [72][1500/3757] lr: 8.2192e-02 eta: 3 days, 5:00:10 time: 0.3984 data_time: 0.0154 memory: 13431 grad_norm: 2.4314 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0073 loss: 3.0073 2022/08/14 13:45:27 - mmengine - INFO - Epoch(train) [72][1600/3757] lr: 8.2192e-02 eta: 3 days, 4:59:30 time: 0.3979 data_time: 0.0146 memory: 13431 grad_norm: 2.5073 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1419 loss: 3.1419 2022/08/14 13:46:07 - mmengine - INFO - Epoch(train) [72][1700/3757] lr: 8.2192e-02 eta: 3 days, 4:58:50 time: 0.3993 data_time: 0.0159 memory: 13431 grad_norm: 2.4987 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9343 loss: 2.9343 2022/08/14 13:46:48 - mmengine - INFO - Epoch(train) [72][1800/3757] lr: 8.2192e-02 eta: 3 days, 4:58:10 time: 0.3973 data_time: 0.0139 memory: 13431 grad_norm: 2.4127 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.2487 loss: 3.2487 2022/08/14 13:47:28 - mmengine - INFO - Epoch(train) [72][1900/3757] lr: 8.2192e-02 eta: 3 days, 4:57:31 time: 0.4112 data_time: 0.0153 memory: 13431 grad_norm: 2.3102 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0108 loss: 3.0108 2022/08/14 13:48:08 - mmengine - INFO - Epoch(train) [72][2000/3757] lr: 8.2192e-02 eta: 3 days, 4:56:51 time: 0.3986 data_time: 0.0144 memory: 13431 grad_norm: 2.3873 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7816 loss: 2.7816 2022/08/14 13:48:48 - mmengine - INFO - Epoch(train) [72][2100/3757] lr: 8.2192e-02 eta: 3 days, 4:56:12 time: 0.3979 data_time: 0.0142 memory: 13431 grad_norm: 2.4087 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.0134 loss: 3.0134 2022/08/14 13:49:29 - mmengine - INFO - Epoch(train) [72][2200/3757] lr: 8.2192e-02 eta: 3 days, 4:55:32 time: 0.3970 data_time: 0.0148 memory: 13431 grad_norm: 2.4608 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9777 loss: 2.9777 2022/08/14 13:49:50 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 13:50:09 - mmengine - INFO - Epoch(train) [72][2300/3757] lr: 8.2192e-02 eta: 3 days, 4:54:52 time: 0.3994 data_time: 0.0152 memory: 13431 grad_norm: 2.4507 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7720 loss: 2.7720 2022/08/14 13:50:49 - mmengine - INFO - Epoch(train) [72][2400/3757] lr: 8.2192e-02 eta: 3 days, 4:54:12 time: 0.4006 data_time: 0.0150 memory: 13431 grad_norm: 2.4048 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2653 loss: 3.2653 2022/08/14 13:51:29 - mmengine - INFO - Epoch(train) [72][2500/3757] lr: 8.2192e-02 eta: 3 days, 4:53:33 time: 0.4067 data_time: 0.0143 memory: 13431 grad_norm: 2.4142 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9331 loss: 2.9331 2022/08/14 13:52:09 - mmengine - INFO - Epoch(train) [72][2600/3757] lr: 8.2192e-02 eta: 3 days, 4:52:53 time: 0.4008 data_time: 0.0143 memory: 13431 grad_norm: 2.4854 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8616 loss: 2.8616 2022/08/14 13:52:49 - mmengine - INFO - Epoch(train) [72][2700/3757] lr: 8.2192e-02 eta: 3 days, 4:52:14 time: 0.3978 data_time: 0.0145 memory: 13431 grad_norm: 2.4052 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2063 loss: 3.2063 2022/08/14 13:53:30 - mmengine - INFO - Epoch(train) [72][2800/3757] lr: 8.2192e-02 eta: 3 days, 4:51:34 time: 0.3969 data_time: 0.0146 memory: 13431 grad_norm: 2.3806 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.8195 loss: 2.8195 2022/08/14 13:54:10 - mmengine - INFO - Epoch(train) [72][2900/3757] lr: 8.2192e-02 eta: 3 days, 4:50:54 time: 0.3984 data_time: 0.0148 memory: 13431 grad_norm: 2.5636 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8160 loss: 2.8160 2022/08/14 13:54:50 - mmengine - INFO - Epoch(train) [72][3000/3757] lr: 8.2192e-02 eta: 3 days, 4:50:14 time: 0.3989 data_time: 0.0140 memory: 13431 grad_norm: 2.4862 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0827 loss: 3.0827 2022/08/14 13:55:30 - mmengine - INFO - Epoch(train) [72][3100/3757] lr: 8.2192e-02 eta: 3 days, 4:49:35 time: 0.3980 data_time: 0.0140 memory: 13431 grad_norm: 2.4710 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8903 loss: 2.8903 2022/08/14 13:56:10 - mmengine - INFO - Epoch(train) [72][3200/3757] lr: 8.2192e-02 eta: 3 days, 4:48:56 time: 0.4028 data_time: 0.0148 memory: 13431 grad_norm: 2.5131 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9618 loss: 2.9618 2022/08/14 13:56:32 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 13:56:51 - mmengine - INFO - Epoch(train) [72][3300/3757] lr: 8.2192e-02 eta: 3 days, 4:48:16 time: 0.4017 data_time: 0.0139 memory: 13431 grad_norm: 2.4748 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8911 loss: 2.8911 2022/08/14 13:57:31 - mmengine - INFO - Epoch(train) [72][3400/3757] lr: 8.2192e-02 eta: 3 days, 4:47:37 time: 0.3970 data_time: 0.0139 memory: 13431 grad_norm: 2.4429 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1349 loss: 3.1349 2022/08/14 13:58:11 - mmengine - INFO - Epoch(train) [72][3500/3757] lr: 8.2192e-02 eta: 3 days, 4:46:57 time: 0.4045 data_time: 0.0133 memory: 13431 grad_norm: 2.4113 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0058 loss: 3.0058 2022/08/14 13:58:51 - mmengine - INFO - Epoch(train) [72][3600/3757] lr: 8.2192e-02 eta: 3 days, 4:46:17 time: 0.3975 data_time: 0.0138 memory: 13431 grad_norm: 2.3992 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9026 loss: 2.9026 2022/08/14 13:59:31 - mmengine - INFO - Epoch(train) [72][3700/3757] lr: 8.2192e-02 eta: 3 days, 4:45:37 time: 0.3979 data_time: 0.0141 memory: 13431 grad_norm: 2.4493 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.3295 loss: 3.3295 2022/08/14 13:59:54 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 13:59:54 - mmengine - INFO - Epoch(train) [72][3757/3757] lr: 8.2192e-02 eta: 3 days, 4:45:21 time: 0.3848 data_time: 0.0130 memory: 13431 grad_norm: 2.4501 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 3.0529 loss: 3.0529 2022/08/14 13:59:54 - mmengine - INFO - Saving checkpoint at 72 epochs 2022/08/14 14:00:40 - mmengine - INFO - Epoch(train) [73][100/3757] lr: 8.1720e-02 eta: 3 days, 4:44:20 time: 0.4040 data_time: 0.0141 memory: 13431 grad_norm: 2.5081 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5109 loss: 2.5109 2022/08/14 14:01:21 - mmengine - INFO - Epoch(train) [73][200/3757] lr: 8.1720e-02 eta: 3 days, 4:43:41 time: 0.3980 data_time: 0.0145 memory: 13431 grad_norm: 2.4291 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.9760 loss: 2.9760 2022/08/14 14:02:01 - mmengine - INFO - Epoch(train) [73][300/3757] lr: 8.1720e-02 eta: 3 days, 4:43:01 time: 0.3958 data_time: 0.0145 memory: 13431 grad_norm: 2.4749 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8372 loss: 2.8372 2022/08/14 14:02:41 - mmengine - INFO - Epoch(train) [73][400/3757] lr: 8.1720e-02 eta: 3 days, 4:42:21 time: 0.3986 data_time: 0.0155 memory: 13431 grad_norm: 2.4757 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6894 loss: 2.6894 2022/08/14 14:03:20 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 14:03:21 - mmengine - INFO - Epoch(train) [73][500/3757] lr: 8.1720e-02 eta: 3 days, 4:41:42 time: 0.3982 data_time: 0.0155 memory: 13431 grad_norm: 2.3717 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9137 loss: 2.9137 2022/08/14 14:04:01 - mmengine - INFO - Epoch(train) [73][600/3757] lr: 8.1720e-02 eta: 3 days, 4:41:02 time: 0.3971 data_time: 0.0137 memory: 13431 grad_norm: 2.4179 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8290 loss: 2.8290 2022/08/14 14:04:41 - mmengine - INFO - Epoch(train) [73][700/3757] lr: 8.1720e-02 eta: 3 days, 4:40:22 time: 0.3960 data_time: 0.0143 memory: 13431 grad_norm: 2.4797 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9929 loss: 2.9929 2022/08/14 14:05:21 - mmengine - INFO - Epoch(train) [73][800/3757] lr: 8.1720e-02 eta: 3 days, 4:39:42 time: 0.4043 data_time: 0.0147 memory: 13431 grad_norm: 2.4316 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7643 loss: 2.7643 2022/08/14 14:06:02 - mmengine - INFO - Epoch(train) [73][900/3757] lr: 8.1720e-02 eta: 3 days, 4:39:03 time: 0.3977 data_time: 0.0135 memory: 13431 grad_norm: 2.4964 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9850 loss: 2.9850 2022/08/14 14:06:42 - mmengine - INFO - Epoch(train) [73][1000/3757] lr: 8.1720e-02 eta: 3 days, 4:38:23 time: 0.3971 data_time: 0.0135 memory: 13431 grad_norm: 2.4908 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0176 loss: 3.0176 2022/08/14 14:07:22 - mmengine - INFO - Epoch(train) [73][1100/3757] lr: 8.1720e-02 eta: 3 days, 4:37:44 time: 0.3981 data_time: 0.0145 memory: 13431 grad_norm: 2.3860 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9620 loss: 2.9620 2022/08/14 14:08:02 - mmengine - INFO - Epoch(train) [73][1200/3757] lr: 8.1720e-02 eta: 3 days, 4:37:04 time: 0.3999 data_time: 0.0153 memory: 13431 grad_norm: 2.3659 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.9444 loss: 2.9444 2022/08/14 14:08:43 - mmengine - INFO - Epoch(train) [73][1300/3757] lr: 8.1720e-02 eta: 3 days, 4:36:24 time: 0.3982 data_time: 0.0148 memory: 13431 grad_norm: 2.5570 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5985 loss: 2.5985 2022/08/14 14:09:23 - mmengine - INFO - Epoch(train) [73][1400/3757] lr: 8.1720e-02 eta: 3 days, 4:35:44 time: 0.4007 data_time: 0.0154 memory: 13431 grad_norm: 2.5360 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0530 loss: 3.0530 2022/08/14 14:10:01 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 14:10:03 - mmengine - INFO - Epoch(train) [73][1500/3757] lr: 8.1720e-02 eta: 3 days, 4:35:05 time: 0.3980 data_time: 0.0138 memory: 13431 grad_norm: 2.4203 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8994 loss: 2.8994 2022/08/14 14:10:43 - mmengine - INFO - Epoch(train) [73][1600/3757] lr: 8.1720e-02 eta: 3 days, 4:34:25 time: 0.3998 data_time: 0.0146 memory: 13431 grad_norm: 2.3905 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8691 loss: 2.8691 2022/08/14 14:11:23 - mmengine - INFO - Epoch(train) [73][1700/3757] lr: 8.1720e-02 eta: 3 days, 4:33:46 time: 0.3987 data_time: 0.0147 memory: 13431 grad_norm: 2.5529 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5662 loss: 2.5662 2022/08/14 14:12:04 - mmengine - INFO - Epoch(train) [73][1800/3757] lr: 8.1720e-02 eta: 3 days, 4:33:06 time: 0.4013 data_time: 0.0142 memory: 13431 grad_norm: 2.3769 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.7464 loss: 2.7464 2022/08/14 14:12:44 - mmengine - INFO - Epoch(train) [73][1900/3757] lr: 8.1720e-02 eta: 3 days, 4:32:26 time: 0.4006 data_time: 0.0144 memory: 13431 grad_norm: 2.4113 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0603 loss: 3.0603 2022/08/14 14:13:24 - mmengine - INFO - Epoch(train) [73][2000/3757] lr: 8.1720e-02 eta: 3 days, 4:31:46 time: 0.4013 data_time: 0.0158 memory: 13431 grad_norm: 2.4380 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9227 loss: 2.9227 2022/08/14 14:14:04 - mmengine - INFO - Epoch(train) [73][2100/3757] lr: 8.1720e-02 eta: 3 days, 4:31:07 time: 0.3992 data_time: 0.0143 memory: 13431 grad_norm: 2.5478 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8464 loss: 2.8464 2022/08/14 14:14:46 - mmengine - INFO - Epoch(train) [73][2200/3757] lr: 8.1720e-02 eta: 3 days, 4:30:32 time: 0.4129 data_time: 0.0163 memory: 13431 grad_norm: 2.4693 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9260 loss: 2.9260 2022/08/14 14:15:26 - mmengine - INFO - Epoch(train) [73][2300/3757] lr: 8.1720e-02 eta: 3 days, 4:29:53 time: 0.3967 data_time: 0.0155 memory: 13431 grad_norm: 2.4329 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.1231 loss: 3.1231 2022/08/14 14:16:07 - mmengine - INFO - Epoch(train) [73][2400/3757] lr: 8.1720e-02 eta: 3 days, 4:29:14 time: 0.4004 data_time: 0.0147 memory: 13431 grad_norm: 2.3920 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.7084 loss: 2.7084 2022/08/14 14:16:46 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 14:16:48 - mmengine - INFO - Epoch(train) [73][2500/3757] lr: 8.1720e-02 eta: 3 days, 4:28:36 time: 0.4012 data_time: 0.0173 memory: 13431 grad_norm: 2.3548 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1342 loss: 3.1342 2022/08/14 14:17:28 - mmengine - INFO - Epoch(train) [73][2600/3757] lr: 8.1720e-02 eta: 3 days, 4:27:56 time: 0.4041 data_time: 0.0150 memory: 13431 grad_norm: 2.4138 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0467 loss: 3.0467 2022/08/14 14:18:08 - mmengine - INFO - Epoch(train) [73][2700/3757] lr: 8.1720e-02 eta: 3 days, 4:27:17 time: 0.4005 data_time: 0.0148 memory: 13431 grad_norm: 2.3879 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0567 loss: 3.0567 2022/08/14 14:18:48 - mmengine - INFO - Epoch(train) [73][2800/3757] lr: 8.1720e-02 eta: 3 days, 4:26:37 time: 0.4008 data_time: 0.0144 memory: 13431 grad_norm: 2.5071 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6982 loss: 2.6982 2022/08/14 14:19:28 - mmengine - INFO - Epoch(train) [73][2900/3757] lr: 8.1720e-02 eta: 3 days, 4:25:57 time: 0.4031 data_time: 0.0144 memory: 13431 grad_norm: 2.4803 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9550 loss: 2.9550 2022/08/14 14:20:09 - mmengine - INFO - Epoch(train) [73][3000/3757] lr: 8.1720e-02 eta: 3 days, 4:25:18 time: 0.3985 data_time: 0.0139 memory: 13431 grad_norm: 2.4325 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0956 loss: 3.0956 2022/08/14 14:20:49 - mmengine - INFO - Epoch(train) [73][3100/3757] lr: 8.1720e-02 eta: 3 days, 4:24:38 time: 0.3985 data_time: 0.0158 memory: 13431 grad_norm: 2.4648 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9756 loss: 2.9756 2022/08/14 14:21:29 - mmengine - INFO - Epoch(train) [73][3200/3757] lr: 8.1720e-02 eta: 3 days, 4:23:59 time: 0.4043 data_time: 0.0154 memory: 13431 grad_norm: 2.4228 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9790 loss: 2.9790 2022/08/14 14:22:09 - mmengine - INFO - Epoch(train) [73][3300/3757] lr: 8.1720e-02 eta: 3 days, 4:23:19 time: 0.4041 data_time: 0.0152 memory: 13431 grad_norm: 2.5257 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0741 loss: 3.0741 2022/08/14 14:22:50 - mmengine - INFO - Epoch(train) [73][3400/3757] lr: 8.1720e-02 eta: 3 days, 4:22:40 time: 0.4032 data_time: 0.0148 memory: 13431 grad_norm: 2.4842 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8869 loss: 2.8869 2022/08/14 14:23:28 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 14:23:29 - mmengine - INFO - Epoch(train) [73][3500/3757] lr: 8.1720e-02 eta: 3 days, 4:21:59 time: 0.4005 data_time: 0.0138 memory: 13431 grad_norm: 2.4651 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0298 loss: 3.0298 2022/08/14 14:24:10 - mmengine - INFO - Epoch(train) [73][3600/3757] lr: 8.1720e-02 eta: 3 days, 4:21:20 time: 0.4030 data_time: 0.0154 memory: 13431 grad_norm: 2.5018 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.9909 loss: 2.9909 2022/08/14 14:24:50 - mmengine - INFO - Epoch(train) [73][3700/3757] lr: 8.1720e-02 eta: 3 days, 4:20:41 time: 0.4062 data_time: 0.0148 memory: 13431 grad_norm: 2.4008 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9742 loss: 2.9742 2022/08/14 14:25:13 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 14:25:13 - mmengine - INFO - Epoch(train) [73][3757/3757] lr: 8.1720e-02 eta: 3 days, 4:20:25 time: 0.3854 data_time: 0.0138 memory: 13431 grad_norm: 2.4957 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.9568 loss: 2.9568 2022/08/14 14:25:55 - mmengine - INFO - Epoch(train) [74][100/3757] lr: 8.1243e-02 eta: 3 days, 4:19:27 time: 0.4000 data_time: 0.0143 memory: 13431 grad_norm: 2.4205 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8545 loss: 2.8545 2022/08/14 14:26:35 - mmengine - INFO - Epoch(train) [74][200/3757] lr: 8.1243e-02 eta: 3 days, 4:18:47 time: 0.4032 data_time: 0.0161 memory: 13431 grad_norm: 2.4820 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.7409 loss: 2.7409 2022/08/14 14:27:16 - mmengine - INFO - Epoch(train) [74][300/3757] lr: 8.1243e-02 eta: 3 days, 4:18:07 time: 0.3990 data_time: 0.0159 memory: 13431 grad_norm: 2.4166 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.9425 loss: 2.9425 2022/08/14 14:27:56 - mmengine - INFO - Epoch(train) [74][400/3757] lr: 8.1243e-02 eta: 3 days, 4:17:27 time: 0.4019 data_time: 0.0151 memory: 13431 grad_norm: 2.4289 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0990 loss: 3.0990 2022/08/14 14:28:36 - mmengine - INFO - Epoch(train) [74][500/3757] lr: 8.1243e-02 eta: 3 days, 4:16:48 time: 0.4130 data_time: 0.0149 memory: 13431 grad_norm: 2.4426 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 3.1481 loss: 3.1481 2022/08/14 14:29:16 - mmengine - INFO - Epoch(train) [74][600/3757] lr: 8.1243e-02 eta: 3 days, 4:16:09 time: 0.3996 data_time: 0.0144 memory: 13431 grad_norm: 2.4761 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.8284 loss: 2.8284 2022/08/14 14:29:56 - mmengine - INFO - Epoch(train) [74][700/3757] lr: 8.1243e-02 eta: 3 days, 4:15:29 time: 0.4034 data_time: 0.0148 memory: 13431 grad_norm: 2.5203 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8896 loss: 2.8896 2022/08/14 14:30:12 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 14:30:37 - mmengine - INFO - Epoch(train) [74][800/3757] lr: 8.1243e-02 eta: 3 days, 4:14:50 time: 0.3987 data_time: 0.0149 memory: 13431 grad_norm: 2.4700 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7144 loss: 2.7144 2022/08/14 14:31:17 - mmengine - INFO - Epoch(train) [74][900/3757] lr: 8.1243e-02 eta: 3 days, 4:14:10 time: 0.3995 data_time: 0.0154 memory: 13431 grad_norm: 2.4544 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0721 loss: 3.0721 2022/08/14 14:31:57 - mmengine - INFO - Epoch(train) [74][1000/3757] lr: 8.1243e-02 eta: 3 days, 4:13:30 time: 0.3978 data_time: 0.0141 memory: 13431 grad_norm: 2.4281 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0288 loss: 3.0288 2022/08/14 14:32:37 - mmengine - INFO - Epoch(train) [74][1100/3757] lr: 8.1243e-02 eta: 3 days, 4:12:50 time: 0.3993 data_time: 0.0143 memory: 13431 grad_norm: 2.5110 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8589 loss: 2.8589 2022/08/14 14:33:17 - mmengine - INFO - Epoch(train) [74][1200/3757] lr: 8.1243e-02 eta: 3 days, 4:12:11 time: 0.4082 data_time: 0.0162 memory: 13431 grad_norm: 2.4661 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.0273 loss: 3.0273 2022/08/14 14:33:57 - mmengine - INFO - Epoch(train) [74][1300/3757] lr: 8.1243e-02 eta: 3 days, 4:11:31 time: 0.4012 data_time: 0.0149 memory: 13431 grad_norm: 2.4236 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0679 loss: 3.0679 2022/08/14 14:34:38 - mmengine - INFO - Epoch(train) [74][1400/3757] lr: 8.1243e-02 eta: 3 days, 4:10:52 time: 0.4016 data_time: 0.0154 memory: 13431 grad_norm: 2.4586 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7588 loss: 2.7588 2022/08/14 14:35:18 - mmengine - INFO - Epoch(train) [74][1500/3757] lr: 8.1243e-02 eta: 3 days, 4:10:12 time: 0.3987 data_time: 0.0141 memory: 13431 grad_norm: 2.4649 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2033 loss: 3.2033 2022/08/14 14:35:58 - mmengine - INFO - Epoch(train) [74][1600/3757] lr: 8.1243e-02 eta: 3 days, 4:09:32 time: 0.3999 data_time: 0.0151 memory: 13431 grad_norm: 2.4656 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9387 loss: 2.9387 2022/08/14 14:36:38 - mmengine - INFO - Epoch(train) [74][1700/3757] lr: 8.1243e-02 eta: 3 days, 4:08:53 time: 0.4009 data_time: 0.0161 memory: 13431 grad_norm: 2.5050 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2657 loss: 3.2657 2022/08/14 14:36:54 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 14:37:18 - mmengine - INFO - Epoch(train) [74][1800/3757] lr: 8.1243e-02 eta: 3 days, 4:08:13 time: 0.4012 data_time: 0.0147 memory: 13431 grad_norm: 2.4912 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.0033 loss: 3.0033 2022/08/14 14:37:59 - mmengine - INFO - Epoch(train) [74][1900/3757] lr: 8.1243e-02 eta: 3 days, 4:07:33 time: 0.4097 data_time: 0.0158 memory: 13431 grad_norm: 2.4337 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7012 loss: 2.7012 2022/08/14 14:38:39 - mmengine - INFO - Epoch(train) [74][2000/3757] lr: 8.1243e-02 eta: 3 days, 4:06:54 time: 0.3999 data_time: 0.0152 memory: 13431 grad_norm: 2.5646 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.9120 loss: 2.9120 2022/08/14 14:39:19 - mmengine - INFO - Epoch(train) [74][2100/3757] lr: 8.1243e-02 eta: 3 days, 4:06:15 time: 0.4042 data_time: 0.0143 memory: 13431 grad_norm: 2.4359 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1024 loss: 3.1024 2022/08/14 14:40:00 - mmengine - INFO - Epoch(train) [74][2200/3757] lr: 8.1243e-02 eta: 3 days, 4:05:36 time: 0.4000 data_time: 0.0146 memory: 13431 grad_norm: 2.3869 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9875 loss: 2.9875 2022/08/14 14:40:40 - mmengine - INFO - Epoch(train) [74][2300/3757] lr: 8.1243e-02 eta: 3 days, 4:04:56 time: 0.4028 data_time: 0.0138 memory: 13431 grad_norm: 2.4787 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1356 loss: 3.1356 2022/08/14 14:41:20 - mmengine - INFO - Epoch(train) [74][2400/3757] lr: 8.1243e-02 eta: 3 days, 4:04:16 time: 0.4033 data_time: 0.0152 memory: 13431 grad_norm: 2.3827 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7659 loss: 2.7659 2022/08/14 14:42:00 - mmengine - INFO - Epoch(train) [74][2500/3757] lr: 8.1243e-02 eta: 3 days, 4:03:36 time: 0.4001 data_time: 0.0142 memory: 13431 grad_norm: 2.4782 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9377 loss: 2.9377 2022/08/14 14:42:40 - mmengine - INFO - Epoch(train) [74][2600/3757] lr: 8.1243e-02 eta: 3 days, 4:02:56 time: 0.4112 data_time: 0.0144 memory: 13431 grad_norm: 2.4711 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1423 loss: 3.1423 2022/08/14 14:43:20 - mmengine - INFO - Epoch(train) [74][2700/3757] lr: 8.1243e-02 eta: 3 days, 4:02:17 time: 0.4033 data_time: 0.0145 memory: 13431 grad_norm: 2.5345 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1442 loss: 3.1442 2022/08/14 14:43:36 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 14:44:01 - mmengine - INFO - Epoch(train) [74][2800/3757] lr: 8.1243e-02 eta: 3 days, 4:01:38 time: 0.4030 data_time: 0.0161 memory: 13431 grad_norm: 2.5096 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7060 loss: 2.7060 2022/08/14 14:44:41 - mmengine - INFO - Epoch(train) [74][2900/3757] lr: 8.1243e-02 eta: 3 days, 4:00:58 time: 0.3979 data_time: 0.0144 memory: 13431 grad_norm: 2.4093 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7302 loss: 2.7302 2022/08/14 14:45:21 - mmengine - INFO - Epoch(train) [74][3000/3757] lr: 8.1243e-02 eta: 3 days, 4:00:19 time: 0.3990 data_time: 0.0134 memory: 13431 grad_norm: 2.4506 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9750 loss: 2.9750 2022/08/14 14:46:01 - mmengine - INFO - Epoch(train) [74][3100/3757] lr: 8.1243e-02 eta: 3 days, 3:59:39 time: 0.3980 data_time: 0.0139 memory: 13431 grad_norm: 2.4836 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1347 loss: 3.1347 2022/08/14 14:46:42 - mmengine - INFO - Epoch(train) [74][3200/3757] lr: 8.1243e-02 eta: 3 days, 3:58:59 time: 0.3979 data_time: 0.0144 memory: 13431 grad_norm: 2.4844 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9844 loss: 2.9844 2022/08/14 14:47:22 - mmengine - INFO - Epoch(train) [74][3300/3757] lr: 8.1243e-02 eta: 3 days, 3:58:20 time: 0.4066 data_time: 0.0140 memory: 13431 grad_norm: 2.4588 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6215 loss: 2.6215 2022/08/14 14:48:02 - mmengine - INFO - Epoch(train) [74][3400/3757] lr: 8.1243e-02 eta: 3 days, 3:57:41 time: 0.4065 data_time: 0.0144 memory: 13431 grad_norm: 2.4236 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9622 loss: 2.9622 2022/08/14 14:48:43 - mmengine - INFO - Epoch(train) [74][3500/3757] lr: 8.1243e-02 eta: 3 days, 3:57:01 time: 0.4007 data_time: 0.0136 memory: 13431 grad_norm: 2.5576 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9678 loss: 2.9678 2022/08/14 14:49:23 - mmengine - INFO - Epoch(train) [74][3600/3757] lr: 8.1243e-02 eta: 3 days, 3:56:22 time: 0.4048 data_time: 0.0185 memory: 13431 grad_norm: 2.5048 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8402 loss: 2.8402 2022/08/14 14:50:03 - mmengine - INFO - Epoch(train) [74][3700/3757] lr: 8.1243e-02 eta: 3 days, 3:55:42 time: 0.4010 data_time: 0.0146 memory: 13431 grad_norm: 2.5214 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.3317 loss: 3.3317 2022/08/14 14:50:19 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 14:50:26 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 14:50:26 - mmengine - INFO - Epoch(train) [74][3757/3757] lr: 8.1243e-02 eta: 3 days, 3:55:26 time: 0.3858 data_time: 0.0135 memory: 13431 grad_norm: 2.5303 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 3.0939 loss: 3.0939 2022/08/14 14:51:08 - mmengine - INFO - Epoch(train) [75][100/3757] lr: 8.0762e-02 eta: 3 days, 3:54:28 time: 0.3985 data_time: 0.0145 memory: 13431 grad_norm: 2.4590 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.7114 loss: 2.7114 2022/08/14 14:51:48 - mmengine - INFO - Epoch(train) [75][200/3757] lr: 8.0762e-02 eta: 3 days, 3:53:48 time: 0.3987 data_time: 0.0144 memory: 13431 grad_norm: 2.5041 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8871 loss: 2.8871 2022/08/14 14:52:28 - mmengine - INFO - Epoch(train) [75][300/3757] lr: 8.0762e-02 eta: 3 days, 3:53:09 time: 0.4058 data_time: 0.0149 memory: 13431 grad_norm: 2.4233 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8121 loss: 2.8121 2022/08/14 14:53:09 - mmengine - INFO - Epoch(train) [75][400/3757] lr: 8.0762e-02 eta: 3 days, 3:52:30 time: 0.3993 data_time: 0.0154 memory: 13431 grad_norm: 2.4651 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8525 loss: 2.8525 2022/08/14 14:53:49 - mmengine - INFO - Epoch(train) [75][500/3757] lr: 8.0762e-02 eta: 3 days, 3:51:51 time: 0.3987 data_time: 0.0145 memory: 13431 grad_norm: 2.5053 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0437 loss: 3.0437 2022/08/14 14:54:30 - mmengine - INFO - Epoch(train) [75][600/3757] lr: 8.0762e-02 eta: 3 days, 3:51:12 time: 0.3980 data_time: 0.0140 memory: 13431 grad_norm: 2.5297 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.6691 loss: 2.6691 2022/08/14 14:55:12 - mmengine - INFO - Epoch(train) [75][700/3757] lr: 8.0762e-02 eta: 3 days, 3:50:38 time: 0.3999 data_time: 0.0155 memory: 13431 grad_norm: 2.4606 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5918 loss: 2.5918 2022/08/14 14:55:53 - mmengine - INFO - Epoch(train) [75][800/3757] lr: 8.0762e-02 eta: 3 days, 3:49:59 time: 0.3970 data_time: 0.0140 memory: 13431 grad_norm: 2.4727 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6579 loss: 2.6579 2022/08/14 14:56:33 - mmengine - INFO - Epoch(train) [75][900/3757] lr: 8.0762e-02 eta: 3 days, 3:49:19 time: 0.4011 data_time: 0.0146 memory: 13431 grad_norm: 2.4042 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1576 loss: 3.1576 2022/08/14 14:57:06 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 14:57:13 - mmengine - INFO - Epoch(train) [75][1000/3757] lr: 8.0762e-02 eta: 3 days, 3:48:40 time: 0.4096 data_time: 0.0166 memory: 13431 grad_norm: 2.4723 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8173 loss: 2.8173 2022/08/14 14:57:53 - mmengine - INFO - Epoch(train) [75][1100/3757] lr: 8.0762e-02 eta: 3 days, 3:48:00 time: 0.4076 data_time: 0.0154 memory: 13431 grad_norm: 2.4662 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9827 loss: 2.9827 2022/08/14 14:58:34 - mmengine - INFO - Epoch(train) [75][1200/3757] lr: 8.0762e-02 eta: 3 days, 3:47:21 time: 0.3982 data_time: 0.0137 memory: 13431 grad_norm: 2.4698 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7895 loss: 2.7895 2022/08/14 14:59:14 - mmengine - INFO - Epoch(train) [75][1300/3757] lr: 8.0762e-02 eta: 3 days, 3:46:41 time: 0.3975 data_time: 0.0145 memory: 13431 grad_norm: 2.4318 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6514 loss: 2.6514 2022/08/14 14:59:54 - mmengine - INFO - Epoch(train) [75][1400/3757] lr: 8.0762e-02 eta: 3 days, 3:46:02 time: 0.4002 data_time: 0.0147 memory: 13431 grad_norm: 2.4338 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9357 loss: 2.9357 2022/08/14 15:00:34 - mmengine - INFO - Epoch(train) [75][1500/3757] lr: 8.0762e-02 eta: 3 days, 3:45:22 time: 0.4024 data_time: 0.0161 memory: 13431 grad_norm: 2.4437 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2534 loss: 3.2534 2022/08/14 15:01:15 - mmengine - INFO - Epoch(train) [75][1600/3757] lr: 8.0762e-02 eta: 3 days, 3:44:43 time: 0.4011 data_time: 0.0144 memory: 13431 grad_norm: 2.5135 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8362 loss: 2.8362 2022/08/14 15:01:55 - mmengine - INFO - Epoch(train) [75][1700/3757] lr: 8.0762e-02 eta: 3 days, 3:44:04 time: 0.4069 data_time: 0.0146 memory: 13431 grad_norm: 2.5539 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0460 loss: 3.0460 2022/08/14 15:02:35 - mmengine - INFO - Epoch(train) [75][1800/3757] lr: 8.0762e-02 eta: 3 days, 3:43:24 time: 0.4072 data_time: 0.0152 memory: 13431 grad_norm: 2.5495 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0505 loss: 3.0505 2022/08/14 15:03:16 - mmengine - INFO - Epoch(train) [75][1900/3757] lr: 8.0762e-02 eta: 3 days, 3:42:44 time: 0.3991 data_time: 0.0141 memory: 13431 grad_norm: 2.4927 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9879 loss: 2.9879 2022/08/14 15:03:48 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 15:03:56 - mmengine - INFO - Epoch(train) [75][2000/3757] lr: 8.0762e-02 eta: 3 days, 3:42:05 time: 0.3999 data_time: 0.0145 memory: 13431 grad_norm: 2.5607 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8450 loss: 2.8450 2022/08/14 15:04:36 - mmengine - INFO - Epoch(train) [75][2100/3757] lr: 8.0762e-02 eta: 3 days, 3:41:25 time: 0.4006 data_time: 0.0141 memory: 13431 grad_norm: 2.4862 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0270 loss: 3.0270 2022/08/14 15:05:16 - mmengine - INFO - Epoch(train) [75][2200/3757] lr: 8.0762e-02 eta: 3 days, 3:40:45 time: 0.3988 data_time: 0.0148 memory: 13431 grad_norm: 2.5312 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0567 loss: 3.0567 2022/08/14 15:05:56 - mmengine - INFO - Epoch(train) [75][2300/3757] lr: 8.0762e-02 eta: 3 days, 3:40:05 time: 0.3974 data_time: 0.0143 memory: 13431 grad_norm: 2.5306 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7945 loss: 2.7945 2022/08/14 15:06:36 - mmengine - INFO - Epoch(train) [75][2400/3757] lr: 8.0762e-02 eta: 3 days, 3:39:26 time: 0.3976 data_time: 0.0133 memory: 13431 grad_norm: 2.4536 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7661 loss: 2.7661 2022/08/14 15:07:17 - mmengine - INFO - Epoch(train) [75][2500/3757] lr: 8.0762e-02 eta: 3 days, 3:38:46 time: 0.3986 data_time: 0.0141 memory: 13431 grad_norm: 2.4598 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2297 loss: 3.2297 2022/08/14 15:07:57 - mmengine - INFO - Epoch(train) [75][2600/3757] lr: 8.0762e-02 eta: 3 days, 3:38:07 time: 0.3991 data_time: 0.0141 memory: 13431 grad_norm: 2.3895 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9813 loss: 2.9813 2022/08/14 15:08:37 - mmengine - INFO - Epoch(train) [75][2700/3757] lr: 8.0762e-02 eta: 3 days, 3:37:27 time: 0.3988 data_time: 0.0140 memory: 13431 grad_norm: 2.4063 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8321 loss: 2.8321 2022/08/14 15:09:17 - mmengine - INFO - Epoch(train) [75][2800/3757] lr: 8.0762e-02 eta: 3 days, 3:36:48 time: 0.4048 data_time: 0.0140 memory: 13431 grad_norm: 2.4793 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 2.7733 loss: 2.7733 2022/08/14 15:09:58 - mmengine - INFO - Epoch(train) [75][2900/3757] lr: 8.0762e-02 eta: 3 days, 3:36:08 time: 0.3971 data_time: 0.0147 memory: 13431 grad_norm: 2.5662 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9233 loss: 2.9233 2022/08/14 15:10:30 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 15:10:38 - mmengine - INFO - Epoch(train) [75][3000/3757] lr: 8.0762e-02 eta: 3 days, 3:35:28 time: 0.3992 data_time: 0.0146 memory: 13431 grad_norm: 2.5005 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8616 loss: 2.8616 2022/08/14 15:11:18 - mmengine - INFO - Epoch(train) [75][3100/3757] lr: 8.0762e-02 eta: 3 days, 3:34:50 time: 0.4076 data_time: 0.0155 memory: 13431 grad_norm: 2.4852 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8962 loss: 2.8962 2022/08/14 15:11:58 - mmengine - INFO - Epoch(train) [75][3200/3757] lr: 8.0762e-02 eta: 3 days, 3:34:10 time: 0.3978 data_time: 0.0136 memory: 13431 grad_norm: 2.4271 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0074 loss: 3.0074 2022/08/14 15:12:39 - mmengine - INFO - Epoch(train) [75][3300/3757] lr: 8.0762e-02 eta: 3 days, 3:33:31 time: 0.4046 data_time: 0.0152 memory: 13431 grad_norm: 2.4732 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.6546 loss: 2.6546 2022/08/14 15:13:19 - mmengine - INFO - Epoch(train) [75][3400/3757] lr: 8.0762e-02 eta: 3 days, 3:32:51 time: 0.4063 data_time: 0.0151 memory: 13431 grad_norm: 2.5235 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0220 loss: 3.0220 2022/08/14 15:13:59 - mmengine - INFO - Epoch(train) [75][3500/3757] lr: 8.0762e-02 eta: 3 days, 3:32:11 time: 0.4004 data_time: 0.0157 memory: 13431 grad_norm: 2.5212 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5876 loss: 2.5876 2022/08/14 15:14:39 - mmengine - INFO - Epoch(train) [75][3600/3757] lr: 8.0762e-02 eta: 3 days, 3:31:32 time: 0.3976 data_time: 0.0136 memory: 13431 grad_norm: 2.3594 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7828 loss: 2.7828 2022/08/14 15:15:19 - mmengine - INFO - Epoch(train) [75][3700/3757] lr: 8.0762e-02 eta: 3 days, 3:30:52 time: 0.3977 data_time: 0.0150 memory: 13431 grad_norm: 2.5160 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8449 loss: 2.8449 2022/08/14 15:15:42 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 15:15:42 - mmengine - INFO - Epoch(train) [75][3757/3757] lr: 8.0762e-02 eta: 3 days, 3:30:36 time: 0.3889 data_time: 0.0148 memory: 13431 grad_norm: 2.4157 top1_acc: 0.1429 top5_acc: 0.4286 loss_cls: 3.0085 loss: 3.0085 2022/08/14 15:16:05 - mmengine - INFO - Epoch(val) [75][100/310] eta: 0:00:49 time: 0.2365 data_time: 0.1063 memory: 1974 2022/08/14 15:16:26 - mmengine - INFO - Epoch(val) [75][200/310] eta: 0:00:20 time: 0.1895 data_time: 0.0583 memory: 1974 2022/08/14 15:16:47 - mmengine - INFO - Epoch(val) [75][300/310] eta: 0:00:02 time: 0.2125 data_time: 0.0841 memory: 1974 2022/08/14 15:16:52 - mmengine - INFO - Epoch(val) [75][310/310] acc/top1: 0.4226 acc/top5: 0.6987 acc/mean1: 0.4225 2022/08/14 15:17:34 - mmengine - INFO - Epoch(train) [76][100/3757] lr: 8.0276e-02 eta: 3 days, 3:29:38 time: 0.4029 data_time: 0.0145 memory: 13431 grad_norm: 2.5544 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8133 loss: 2.8133 2022/08/14 15:18:14 - mmengine - INFO - Epoch(train) [76][200/3757] lr: 8.0276e-02 eta: 3 days, 3:28:58 time: 0.4004 data_time: 0.0151 memory: 13431 grad_norm: 2.5299 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.0135 loss: 3.0135 2022/08/14 15:18:24 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 15:18:54 - mmengine - INFO - Epoch(train) [76][300/3757] lr: 8.0276e-02 eta: 3 days, 3:28:18 time: 0.3977 data_time: 0.0139 memory: 13431 grad_norm: 2.4744 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8016 loss: 2.8016 2022/08/14 15:19:34 - mmengine - INFO - Epoch(train) [76][400/3757] lr: 8.0276e-02 eta: 3 days, 3:27:38 time: 0.4003 data_time: 0.0151 memory: 13431 grad_norm: 2.4867 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7788 loss: 2.7788 2022/08/14 15:20:14 - mmengine - INFO - Epoch(train) [76][500/3757] lr: 8.0276e-02 eta: 3 days, 3:26:58 time: 0.3997 data_time: 0.0162 memory: 13431 grad_norm: 2.5316 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9843 loss: 2.9843 2022/08/14 15:20:55 - mmengine - INFO - Epoch(train) [76][600/3757] lr: 8.0276e-02 eta: 3 days, 3:26:19 time: 0.4017 data_time: 0.0143 memory: 13431 grad_norm: 2.4576 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2326 loss: 3.2326 2022/08/14 15:21:35 - mmengine - INFO - Epoch(train) [76][700/3757] lr: 8.0276e-02 eta: 3 days, 3:25:40 time: 0.4025 data_time: 0.0136 memory: 13431 grad_norm: 2.5479 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1416 loss: 3.1416 2022/08/14 15:22:15 - mmengine - INFO - Epoch(train) [76][800/3757] lr: 8.0276e-02 eta: 3 days, 3:25:00 time: 0.4017 data_time: 0.0135 memory: 13431 grad_norm: 2.5051 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9459 loss: 2.9459 2022/08/14 15:22:56 - mmengine - INFO - Epoch(train) [76][900/3757] lr: 8.0276e-02 eta: 3 days, 3:24:20 time: 0.3990 data_time: 0.0142 memory: 13431 grad_norm: 2.4902 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0181 loss: 3.0181 2022/08/14 15:23:36 - mmengine - INFO - Epoch(train) [76][1000/3757] lr: 8.0276e-02 eta: 3 days, 3:23:40 time: 0.3976 data_time: 0.0134 memory: 13431 grad_norm: 2.4065 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.7609 loss: 2.7609 2022/08/14 15:24:16 - mmengine - INFO - Epoch(train) [76][1100/3757] lr: 8.0276e-02 eta: 3 days, 3:23:00 time: 0.3982 data_time: 0.0140 memory: 13431 grad_norm: 2.5044 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0342 loss: 3.0342 2022/08/14 15:24:56 - mmengine - INFO - Epoch(train) [76][1200/3757] lr: 8.0276e-02 eta: 3 days, 3:22:21 time: 0.3963 data_time: 0.0141 memory: 13431 grad_norm: 2.4882 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0127 loss: 3.0127 2022/08/14 15:25:06 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 15:25:36 - mmengine - INFO - Epoch(train) [76][1300/3757] lr: 8.0276e-02 eta: 3 days, 3:21:41 time: 0.3999 data_time: 0.0145 memory: 13431 grad_norm: 2.4013 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.6675 loss: 2.6675 2022/08/14 15:26:16 - mmengine - INFO - Epoch(train) [76][1400/3757] lr: 8.0276e-02 eta: 3 days, 3:21:01 time: 0.4017 data_time: 0.0150 memory: 13431 grad_norm: 2.6160 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0582 loss: 3.0582 2022/08/14 15:26:56 - mmengine - INFO - Epoch(train) [76][1500/3757] lr: 8.0276e-02 eta: 3 days, 3:20:22 time: 0.4023 data_time: 0.0144 memory: 13431 grad_norm: 2.4484 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8245 loss: 2.8245 2022/08/14 15:27:37 - mmengine - INFO - Epoch(train) [76][1600/3757] lr: 8.0276e-02 eta: 3 days, 3:19:42 time: 0.3976 data_time: 0.0139 memory: 13431 grad_norm: 2.5629 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7798 loss: 2.7798 2022/08/14 15:28:17 - mmengine - INFO - Epoch(train) [76][1700/3757] lr: 8.0276e-02 eta: 3 days, 3:19:02 time: 0.4005 data_time: 0.0155 memory: 13431 grad_norm: 2.4818 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7650 loss: 2.7650 2022/08/14 15:28:57 - mmengine - INFO - Epoch(train) [76][1800/3757] lr: 8.0276e-02 eta: 3 days, 3:18:22 time: 0.4018 data_time: 0.0144 memory: 13431 grad_norm: 2.4262 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8117 loss: 2.8117 2022/08/14 15:29:37 - mmengine - INFO - Epoch(train) [76][1900/3757] lr: 8.0276e-02 eta: 3 days, 3:17:43 time: 0.4011 data_time: 0.0153 memory: 13431 grad_norm: 2.5087 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.0138 loss: 3.0138 2022/08/14 15:30:17 - mmengine - INFO - Epoch(train) [76][2000/3757] lr: 8.0276e-02 eta: 3 days, 3:17:03 time: 0.3960 data_time: 0.0135 memory: 13431 grad_norm: 2.4481 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8727 loss: 2.8727 2022/08/14 15:30:58 - mmengine - INFO - Epoch(train) [76][2100/3757] lr: 8.0276e-02 eta: 3 days, 3:16:24 time: 0.4020 data_time: 0.0142 memory: 13431 grad_norm: 2.5274 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0754 loss: 3.0754 2022/08/14 15:31:38 - mmengine - INFO - Epoch(train) [76][2200/3757] lr: 8.0276e-02 eta: 3 days, 3:15:44 time: 0.4059 data_time: 0.0145 memory: 13431 grad_norm: 2.4451 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8048 loss: 2.8048 2022/08/14 15:31:48 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 15:32:18 - mmengine - INFO - Epoch(train) [76][2300/3757] lr: 8.0276e-02 eta: 3 days, 3:15:05 time: 0.3998 data_time: 0.0152 memory: 13431 grad_norm: 2.4583 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0196 loss: 3.0196 2022/08/14 15:32:58 - mmengine - INFO - Epoch(train) [76][2400/3757] lr: 8.0276e-02 eta: 3 days, 3:14:25 time: 0.4015 data_time: 0.0154 memory: 13431 grad_norm: 2.4674 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8498 loss: 2.8498 2022/08/14 15:33:38 - mmengine - INFO - Epoch(train) [76][2500/3757] lr: 8.0276e-02 eta: 3 days, 3:13:45 time: 0.4007 data_time: 0.0140 memory: 13431 grad_norm: 2.5519 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.1119 loss: 3.1119 2022/08/14 15:34:18 - mmengine - INFO - Epoch(train) [76][2600/3757] lr: 8.0276e-02 eta: 3 days, 3:13:05 time: 0.3995 data_time: 0.0167 memory: 13431 grad_norm: 2.4563 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9757 loss: 2.9757 2022/08/14 15:34:59 - mmengine - INFO - Epoch(train) [76][2700/3757] lr: 8.0276e-02 eta: 3 days, 3:12:26 time: 0.3989 data_time: 0.0142 memory: 13431 grad_norm: 2.4025 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.6332 loss: 2.6332 2022/08/14 15:35:39 - mmengine - INFO - Epoch(train) [76][2800/3757] lr: 8.0276e-02 eta: 3 days, 3:11:46 time: 0.3995 data_time: 0.0139 memory: 13431 grad_norm: 2.4650 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0957 loss: 3.0957 2022/08/14 15:36:19 - mmengine - INFO - Epoch(train) [76][2900/3757] lr: 8.0276e-02 eta: 3 days, 3:11:07 time: 0.3999 data_time: 0.0142 memory: 13431 grad_norm: 2.4880 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0864 loss: 3.0864 2022/08/14 15:37:00 - mmengine - INFO - Epoch(train) [76][3000/3757] lr: 8.0276e-02 eta: 3 days, 3:10:28 time: 0.3974 data_time: 0.0157 memory: 13431 grad_norm: 2.4137 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8765 loss: 2.8765 2022/08/14 15:37:40 - mmengine - INFO - Epoch(train) [76][3100/3757] lr: 8.0276e-02 eta: 3 days, 3:09:48 time: 0.3989 data_time: 0.0143 memory: 13431 grad_norm: 2.4630 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9225 loss: 2.9225 2022/08/14 15:38:20 - mmengine - INFO - Epoch(train) [76][3200/3757] lr: 8.0276e-02 eta: 3 days, 3:09:08 time: 0.3971 data_time: 0.0156 memory: 13431 grad_norm: 2.4438 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.3098 loss: 3.3098 2022/08/14 15:38:30 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 15:39:00 - mmengine - INFO - Epoch(train) [76][3300/3757] lr: 8.0276e-02 eta: 3 days, 3:08:28 time: 0.3966 data_time: 0.0138 memory: 13431 grad_norm: 2.4399 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9851 loss: 2.9851 2022/08/14 15:39:40 - mmengine - INFO - Epoch(train) [76][3400/3757] lr: 8.0276e-02 eta: 3 days, 3:07:49 time: 0.3972 data_time: 0.0134 memory: 13431 grad_norm: 2.4773 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.1119 loss: 3.1119 2022/08/14 15:40:21 - mmengine - INFO - Epoch(train) [76][3500/3757] lr: 8.0276e-02 eta: 3 days, 3:07:09 time: 0.3974 data_time: 0.0143 memory: 13431 grad_norm: 2.4265 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0188 loss: 3.0188 2022/08/14 15:41:01 - mmengine - INFO - Epoch(train) [76][3600/3757] lr: 8.0276e-02 eta: 3 days, 3:06:30 time: 0.3982 data_time: 0.0139 memory: 13431 grad_norm: 2.4926 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7811 loss: 2.7811 2022/08/14 15:41:41 - mmengine - INFO - Epoch(train) [76][3700/3757] lr: 8.0276e-02 eta: 3 days, 3:05:50 time: 0.3968 data_time: 0.0138 memory: 13431 grad_norm: 2.4555 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6370 loss: 2.6370 2022/08/14 15:42:04 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 15:42:04 - mmengine - INFO - Epoch(train) [76][3757/3757] lr: 8.0276e-02 eta: 3 days, 3:05:34 time: 0.3869 data_time: 0.0144 memory: 13431 grad_norm: 2.4932 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 2.7013 loss: 2.7013 2022/08/14 15:42:04 - mmengine - INFO - Saving checkpoint at 76 epochs 2022/08/14 15:42:50 - mmengine - INFO - Epoch(train) [77][100/3757] lr: 7.9785e-02 eta: 3 days, 3:04:34 time: 0.3980 data_time: 0.0140 memory: 13431 grad_norm: 2.5648 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.9176 loss: 2.9176 2022/08/14 15:43:30 - mmengine - INFO - Epoch(train) [77][200/3757] lr: 7.9785e-02 eta: 3 days, 3:03:55 time: 0.3987 data_time: 0.0141 memory: 13431 grad_norm: 2.5060 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9099 loss: 2.9099 2022/08/14 15:44:11 - mmengine - INFO - Epoch(train) [77][300/3757] lr: 7.9785e-02 eta: 3 days, 3:03:15 time: 0.4050 data_time: 0.0138 memory: 13431 grad_norm: 2.4883 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0477 loss: 3.0477 2022/08/14 15:44:51 - mmengine - INFO - Epoch(train) [77][400/3757] lr: 7.9785e-02 eta: 3 days, 3:02:36 time: 0.3998 data_time: 0.0133 memory: 13431 grad_norm: 2.4864 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1772 loss: 3.1772 2022/08/14 15:45:18 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 15:45:31 - mmengine - INFO - Epoch(train) [77][500/3757] lr: 7.9785e-02 eta: 3 days, 3:01:56 time: 0.4034 data_time: 0.0134 memory: 13431 grad_norm: 2.4754 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6528 loss: 2.6528 2022/08/14 15:46:12 - mmengine - INFO - Epoch(train) [77][600/3757] lr: 7.9785e-02 eta: 3 days, 3:01:17 time: 0.3966 data_time: 0.0155 memory: 13431 grad_norm: 2.5240 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6712 loss: 2.6712 2022/08/14 15:46:52 - mmengine - INFO - Epoch(train) [77][700/3757] lr: 7.9785e-02 eta: 3 days, 3:00:37 time: 0.3979 data_time: 0.0149 memory: 13431 grad_norm: 2.5079 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8275 loss: 2.8275 2022/08/14 15:47:32 - mmengine - INFO - Epoch(train) [77][800/3757] lr: 7.9785e-02 eta: 3 days, 2:59:57 time: 0.4002 data_time: 0.0139 memory: 13431 grad_norm: 2.5209 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5838 loss: 2.5838 2022/08/14 15:48:12 - mmengine - INFO - Epoch(train) [77][900/3757] lr: 7.9785e-02 eta: 3 days, 2:59:17 time: 0.4014 data_time: 0.0142 memory: 13431 grad_norm: 2.4898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8245 loss: 2.8245 2022/08/14 15:48:52 - mmengine - INFO - Epoch(train) [77][1000/3757] lr: 7.9785e-02 eta: 3 days, 2:58:38 time: 0.4081 data_time: 0.0136 memory: 13431 grad_norm: 2.4599 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8557 loss: 2.8557 2022/08/14 15:49:33 - mmengine - INFO - Epoch(train) [77][1100/3757] lr: 7.9785e-02 eta: 3 days, 2:57:59 time: 0.4002 data_time: 0.0150 memory: 13431 grad_norm: 2.5418 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6554 loss: 2.6554 2022/08/14 15:50:13 - mmengine - INFO - Epoch(train) [77][1200/3757] lr: 7.9785e-02 eta: 3 days, 2:57:20 time: 0.4074 data_time: 0.0146 memory: 13431 grad_norm: 2.3858 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5614 loss: 2.5614 2022/08/14 15:50:54 - mmengine - INFO - Epoch(train) [77][1300/3757] lr: 7.9785e-02 eta: 3 days, 2:56:42 time: 0.4006 data_time: 0.0155 memory: 13431 grad_norm: 2.4625 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9803 loss: 2.9803 2022/08/14 15:51:34 - mmengine - INFO - Epoch(train) [77][1400/3757] lr: 7.9785e-02 eta: 3 days, 2:56:01 time: 0.3975 data_time: 0.0143 memory: 13431 grad_norm: 2.4926 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3606 loss: 3.3606 2022/08/14 15:52:01 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 15:52:14 - mmengine - INFO - Epoch(train) [77][1500/3757] lr: 7.9785e-02 eta: 3 days, 2:55:22 time: 0.3984 data_time: 0.0140 memory: 13431 grad_norm: 2.4380 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0871 loss: 3.0871 2022/08/14 15:52:54 - mmengine - INFO - Epoch(train) [77][1600/3757] lr: 7.9785e-02 eta: 3 days, 2:54:42 time: 0.3985 data_time: 0.0141 memory: 13431 grad_norm: 2.4710 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6309 loss: 2.6309 2022/08/14 15:53:34 - mmengine - INFO - Epoch(train) [77][1700/3757] lr: 7.9785e-02 eta: 3 days, 2:54:02 time: 0.4036 data_time: 0.0140 memory: 13431 grad_norm: 2.3834 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.6223 loss: 2.6223 2022/08/14 15:54:15 - mmengine - INFO - Epoch(train) [77][1800/3757] lr: 7.9785e-02 eta: 3 days, 2:53:23 time: 0.4008 data_time: 0.0137 memory: 13431 grad_norm: 2.4613 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6969 loss: 2.6969 2022/08/14 15:54:55 - mmengine - INFO - Epoch(train) [77][1900/3757] lr: 7.9785e-02 eta: 3 days, 2:52:43 time: 0.3989 data_time: 0.0148 memory: 13431 grad_norm: 2.4702 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9442 loss: 2.9442 2022/08/14 15:55:35 - mmengine - INFO - Epoch(train) [77][2000/3757] lr: 7.9785e-02 eta: 3 days, 2:52:04 time: 0.4007 data_time: 0.0155 memory: 13431 grad_norm: 2.4616 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0970 loss: 3.0970 2022/08/14 15:56:15 - mmengine - INFO - Epoch(train) [77][2100/3757] lr: 7.9785e-02 eta: 3 days, 2:51:24 time: 0.3977 data_time: 0.0146 memory: 13431 grad_norm: 2.4970 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0143 loss: 3.0143 2022/08/14 15:56:55 - mmengine - INFO - Epoch(train) [77][2200/3757] lr: 7.9785e-02 eta: 3 days, 2:50:44 time: 0.4027 data_time: 0.0153 memory: 13431 grad_norm: 2.4317 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.7426 loss: 2.7426 2022/08/14 15:57:36 - mmengine - INFO - Epoch(train) [77][2300/3757] lr: 7.9785e-02 eta: 3 days, 2:50:04 time: 0.4011 data_time: 0.0151 memory: 13431 grad_norm: 2.4984 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6352 loss: 2.6352 2022/08/14 15:58:16 - mmengine - INFO - Epoch(train) [77][2400/3757] lr: 7.9785e-02 eta: 3 days, 2:49:25 time: 0.4075 data_time: 0.0150 memory: 13431 grad_norm: 2.4544 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0310 loss: 3.0310 2022/08/14 15:58:43 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 15:58:56 - mmengine - INFO - Epoch(train) [77][2500/3757] lr: 7.9785e-02 eta: 3 days, 2:48:46 time: 0.3997 data_time: 0.0156 memory: 13431 grad_norm: 2.4812 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8511 loss: 2.8511 2022/08/14 15:59:37 - mmengine - INFO - Epoch(train) [77][2600/3757] lr: 7.9785e-02 eta: 3 days, 2:48:06 time: 0.4054 data_time: 0.0147 memory: 13431 grad_norm: 2.5012 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1027 loss: 3.1027 2022/08/14 16:00:17 - mmengine - INFO - Epoch(train) [77][2700/3757] lr: 7.9785e-02 eta: 3 days, 2:47:27 time: 0.4027 data_time: 0.0141 memory: 13431 grad_norm: 2.4481 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7662 loss: 2.7662 2022/08/14 16:00:57 - mmengine - INFO - Epoch(train) [77][2800/3757] lr: 7.9785e-02 eta: 3 days, 2:46:48 time: 0.4021 data_time: 0.0153 memory: 13431 grad_norm: 2.5191 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8326 loss: 2.8326 2022/08/14 16:01:38 - mmengine - INFO - Epoch(train) [77][2900/3757] lr: 7.9785e-02 eta: 3 days, 2:46:09 time: 0.4275 data_time: 0.0145 memory: 13431 grad_norm: 2.4733 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9538 loss: 2.9538 2022/08/14 16:02:18 - mmengine - INFO - Epoch(train) [77][3000/3757] lr: 7.9785e-02 eta: 3 days, 2:45:30 time: 0.4004 data_time: 0.0145 memory: 13431 grad_norm: 2.4563 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8689 loss: 2.8689 2022/08/14 16:02:59 - mmengine - INFO - Epoch(train) [77][3100/3757] lr: 7.9785e-02 eta: 3 days, 2:44:50 time: 0.4069 data_time: 0.0141 memory: 13431 grad_norm: 2.4729 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5568 loss: 2.5568 2022/08/14 16:03:39 - mmengine - INFO - Epoch(train) [77][3200/3757] lr: 7.9785e-02 eta: 3 days, 2:44:12 time: 0.4011 data_time: 0.0150 memory: 13431 grad_norm: 2.4897 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8347 loss: 2.8347 2022/08/14 16:04:20 - mmengine - INFO - Epoch(train) [77][3300/3757] lr: 7.9785e-02 eta: 3 days, 2:43:32 time: 0.4068 data_time: 0.0142 memory: 13431 grad_norm: 2.4293 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.8331 loss: 2.8331 2022/08/14 16:05:00 - mmengine - INFO - Epoch(train) [77][3400/3757] lr: 7.9785e-02 eta: 3 days, 2:42:53 time: 0.3997 data_time: 0.0158 memory: 13431 grad_norm: 2.4625 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6824 loss: 2.6824 2022/08/14 16:05:27 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 16:05:40 - mmengine - INFO - Epoch(train) [77][3500/3757] lr: 7.9785e-02 eta: 3 days, 2:42:13 time: 0.3984 data_time: 0.0163 memory: 13431 grad_norm: 2.5162 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8948 loss: 2.8948 2022/08/14 16:06:20 - mmengine - INFO - Epoch(train) [77][3600/3757] lr: 7.9785e-02 eta: 3 days, 2:41:33 time: 0.4004 data_time: 0.0154 memory: 13431 grad_norm: 2.5101 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0413 loss: 3.0413 2022/08/14 16:07:00 - mmengine - INFO - Epoch(train) [77][3700/3757] lr: 7.9785e-02 eta: 3 days, 2:40:54 time: 0.3994 data_time: 0.0140 memory: 13431 grad_norm: 2.3412 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9088 loss: 2.9088 2022/08/14 16:07:23 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 16:07:23 - mmengine - INFO - Epoch(train) [77][3757/3757] lr: 7.9785e-02 eta: 3 days, 2:40:38 time: 0.3833 data_time: 0.0142 memory: 13431 grad_norm: 2.4373 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 3.0028 loss: 3.0028 2022/08/14 16:08:05 - mmengine - INFO - Epoch(train) [78][100/3757] lr: 7.9290e-02 eta: 3 days, 2:39:40 time: 0.4000 data_time: 0.0152 memory: 13431 grad_norm: 2.4406 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.9814 loss: 2.9814 2022/08/14 16:08:46 - mmengine - INFO - Epoch(train) [78][200/3757] lr: 7.9290e-02 eta: 3 days, 2:39:01 time: 0.3977 data_time: 0.0148 memory: 13431 grad_norm: 2.5032 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7635 loss: 2.7635 2022/08/14 16:09:26 - mmengine - INFO - Epoch(train) [78][300/3757] lr: 7.9290e-02 eta: 3 days, 2:38:21 time: 0.4061 data_time: 0.0136 memory: 13431 grad_norm: 2.5103 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9511 loss: 2.9511 2022/08/14 16:10:06 - mmengine - INFO - Epoch(train) [78][400/3757] lr: 7.9290e-02 eta: 3 days, 2:37:42 time: 0.4061 data_time: 0.0158 memory: 13431 grad_norm: 2.4969 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6821 loss: 2.6821 2022/08/14 16:10:46 - mmengine - INFO - Epoch(train) [78][500/3757] lr: 7.9290e-02 eta: 3 days, 2:37:02 time: 0.4065 data_time: 0.0154 memory: 13431 grad_norm: 2.4684 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8577 loss: 2.8577 2022/08/14 16:11:26 - mmengine - INFO - Epoch(train) [78][600/3757] lr: 7.9290e-02 eta: 3 days, 2:36:22 time: 0.4026 data_time: 0.0151 memory: 13431 grad_norm: 2.5097 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.7356 loss: 2.7356 2022/08/14 16:12:07 - mmengine - INFO - Epoch(train) [78][700/3757] lr: 7.9290e-02 eta: 3 days, 2:35:43 time: 0.3980 data_time: 0.0149 memory: 13431 grad_norm: 2.4864 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7821 loss: 2.7821 2022/08/14 16:12:11 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 16:12:47 - mmengine - INFO - Epoch(train) [78][800/3757] lr: 7.9290e-02 eta: 3 days, 2:35:04 time: 0.3990 data_time: 0.0156 memory: 13431 grad_norm: 2.4407 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6570 loss: 2.6570 2022/08/14 16:13:27 - mmengine - INFO - Epoch(train) [78][900/3757] lr: 7.9290e-02 eta: 3 days, 2:34:24 time: 0.4003 data_time: 0.0152 memory: 13431 grad_norm: 2.4546 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1597 loss: 3.1597 2022/08/14 16:14:08 - mmengine - INFO - Epoch(train) [78][1000/3757] lr: 7.9290e-02 eta: 3 days, 2:33:45 time: 0.4045 data_time: 0.0138 memory: 13431 grad_norm: 2.5173 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7835 loss: 2.7835 2022/08/14 16:14:48 - mmengine - INFO - Epoch(train) [78][1100/3757] lr: 7.9290e-02 eta: 3 days, 2:33:05 time: 0.4024 data_time: 0.0156 memory: 13431 grad_norm: 2.4807 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7140 loss: 2.7140 2022/08/14 16:15:28 - mmengine - INFO - Epoch(train) [78][1200/3757] lr: 7.9290e-02 eta: 3 days, 2:32:25 time: 0.3996 data_time: 0.0137 memory: 13431 grad_norm: 2.4667 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8932 loss: 2.8932 2022/08/14 16:16:08 - mmengine - INFO - Epoch(train) [78][1300/3757] lr: 7.9290e-02 eta: 3 days, 2:31:46 time: 0.4047 data_time: 0.0170 memory: 13431 grad_norm: 2.4942 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8389 loss: 2.8389 2022/08/14 16:16:49 - mmengine - INFO - Epoch(train) [78][1400/3757] lr: 7.9290e-02 eta: 3 days, 2:31:06 time: 0.4029 data_time: 0.0165 memory: 13431 grad_norm: 2.5124 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0581 loss: 3.0581 2022/08/14 16:17:29 - mmengine - INFO - Epoch(train) [78][1500/3757] lr: 7.9290e-02 eta: 3 days, 2:30:27 time: 0.4017 data_time: 0.0145 memory: 13431 grad_norm: 2.5074 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8456 loss: 2.8456 2022/08/14 16:18:09 - mmengine - INFO - Epoch(train) [78][1600/3757] lr: 7.9290e-02 eta: 3 days, 2:29:48 time: 0.4014 data_time: 0.0147 memory: 13431 grad_norm: 2.3875 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6474 loss: 2.6474 2022/08/14 16:18:50 - mmengine - INFO - Epoch(train) [78][1700/3757] lr: 7.9290e-02 eta: 3 days, 2:29:09 time: 0.4087 data_time: 0.0147 memory: 13431 grad_norm: 2.4401 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8811 loss: 2.8811 2022/08/14 16:18:54 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 16:19:30 - mmengine - INFO - Epoch(train) [78][1800/3757] lr: 7.9290e-02 eta: 3 days, 2:28:29 time: 0.4016 data_time: 0.0153 memory: 13431 grad_norm: 2.5586 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0578 loss: 3.0578 2022/08/14 16:20:10 - mmengine - INFO - Epoch(train) [78][1900/3757] lr: 7.9290e-02 eta: 3 days, 2:27:49 time: 0.3992 data_time: 0.0145 memory: 13431 grad_norm: 2.4858 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8186 loss: 2.8186 2022/08/14 16:20:50 - mmengine - INFO - Epoch(train) [78][2000/3757] lr: 7.9290e-02 eta: 3 days, 2:27:09 time: 0.4000 data_time: 0.0144 memory: 13431 grad_norm: 2.4714 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8764 loss: 2.8764 2022/08/14 16:21:30 - mmengine - INFO - Epoch(train) [78][2100/3757] lr: 7.9290e-02 eta: 3 days, 2:26:30 time: 0.4100 data_time: 0.0146 memory: 13431 grad_norm: 2.5381 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2360 loss: 3.2360 2022/08/14 16:22:11 - mmengine - INFO - Epoch(train) [78][2200/3757] lr: 7.9290e-02 eta: 3 days, 2:25:50 time: 0.4018 data_time: 0.0148 memory: 13431 grad_norm: 2.4621 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8590 loss: 2.8590 2022/08/14 16:22:51 - mmengine - INFO - Epoch(train) [78][2300/3757] lr: 7.9290e-02 eta: 3 days, 2:25:11 time: 0.4015 data_time: 0.0155 memory: 13431 grad_norm: 2.4839 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7945 loss: 2.7945 2022/08/14 16:23:32 - mmengine - INFO - Epoch(train) [78][2400/3757] lr: 7.9290e-02 eta: 3 days, 2:24:32 time: 0.4069 data_time: 0.0151 memory: 13431 grad_norm: 2.4544 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7571 loss: 2.7571 2022/08/14 16:24:12 - mmengine - INFO - Epoch(train) [78][2500/3757] lr: 7.9290e-02 eta: 3 days, 2:23:52 time: 0.4037 data_time: 0.0163 memory: 13431 grad_norm: 2.4791 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1066 loss: 3.1066 2022/08/14 16:24:52 - mmengine - INFO - Epoch(train) [78][2600/3757] lr: 7.9290e-02 eta: 3 days, 2:23:12 time: 0.4005 data_time: 0.0154 memory: 13431 grad_norm: 2.4795 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.1485 loss: 3.1485 2022/08/14 16:25:32 - mmengine - INFO - Epoch(train) [78][2700/3757] lr: 7.9290e-02 eta: 3 days, 2:22:32 time: 0.4014 data_time: 0.0153 memory: 13431 grad_norm: 2.5427 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8393 loss: 2.8393 2022/08/14 16:25:36 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 16:26:12 - mmengine - INFO - Epoch(train) [78][2800/3757] lr: 7.9290e-02 eta: 3 days, 2:21:53 time: 0.4083 data_time: 0.0165 memory: 13431 grad_norm: 2.4718 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7812 loss: 2.7812 2022/08/14 16:26:53 - mmengine - INFO - Epoch(train) [78][2900/3757] lr: 7.9290e-02 eta: 3 days, 2:21:14 time: 0.3999 data_time: 0.0155 memory: 13431 grad_norm: 2.5194 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7799 loss: 2.7799 2022/08/14 16:27:33 - mmengine - INFO - Epoch(train) [78][3000/3757] lr: 7.9290e-02 eta: 3 days, 2:20:35 time: 0.4015 data_time: 0.0170 memory: 13431 grad_norm: 2.5186 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2279 loss: 3.2279 2022/08/14 16:28:14 - mmengine - INFO - Epoch(train) [78][3100/3757] lr: 7.9290e-02 eta: 3 days, 2:19:56 time: 0.4056 data_time: 0.0144 memory: 13431 grad_norm: 2.3937 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7687 loss: 2.7687 2022/08/14 16:28:54 - mmengine - INFO - Epoch(train) [78][3200/3757] lr: 7.9290e-02 eta: 3 days, 2:19:17 time: 0.3983 data_time: 0.0148 memory: 13431 grad_norm: 2.4045 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8047 loss: 2.8047 2022/08/14 16:29:34 - mmengine - INFO - Epoch(train) [78][3300/3757] lr: 7.9290e-02 eta: 3 days, 2:18:37 time: 0.3972 data_time: 0.0138 memory: 13431 grad_norm: 2.4761 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1337 loss: 3.1337 2022/08/14 16:30:15 - mmengine - INFO - Epoch(train) [78][3400/3757] lr: 7.9290e-02 eta: 3 days, 2:17:58 time: 0.3990 data_time: 0.0150 memory: 13431 grad_norm: 2.4165 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5961 loss: 2.5961 2022/08/14 16:30:55 - mmengine - INFO - Epoch(train) [78][3500/3757] lr: 7.9290e-02 eta: 3 days, 2:17:18 time: 0.3989 data_time: 0.0142 memory: 13431 grad_norm: 2.5018 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0320 loss: 3.0320 2022/08/14 16:31:35 - mmengine - INFO - Epoch(train) [78][3600/3757] lr: 7.9290e-02 eta: 3 days, 2:16:39 time: 0.3991 data_time: 0.0141 memory: 13431 grad_norm: 2.4815 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8167 loss: 2.8167 2022/08/14 16:32:16 - mmengine - INFO - Epoch(train) [78][3700/3757] lr: 7.9290e-02 eta: 3 days, 2:15:59 time: 0.3981 data_time: 0.0139 memory: 13431 grad_norm: 2.4979 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0040 loss: 3.0040 2022/08/14 16:32:20 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 16:32:38 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 16:32:38 - mmengine - INFO - Epoch(train) [78][3757/3757] lr: 7.9290e-02 eta: 3 days, 2:15:44 time: 0.3859 data_time: 0.0132 memory: 13431 grad_norm: 2.4360 top1_acc: 0.1429 top5_acc: 0.2857 loss_cls: 3.0842 loss: 3.0842 2022/08/14 16:33:21 - mmengine - INFO - Epoch(train) [79][100/3757] lr: 7.8790e-02 eta: 3 days, 2:14:48 time: 0.4016 data_time: 0.0152 memory: 13431 grad_norm: 2.5573 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8017 loss: 2.8017 2022/08/14 16:34:02 - mmengine - INFO - Epoch(train) [79][200/3757] lr: 7.8790e-02 eta: 3 days, 2:14:09 time: 0.4073 data_time: 0.0152 memory: 13431 grad_norm: 2.3701 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7135 loss: 2.7135 2022/08/14 16:34:42 - mmengine - INFO - Epoch(train) [79][300/3757] lr: 7.8790e-02 eta: 3 days, 2:13:29 time: 0.4003 data_time: 0.0142 memory: 13431 grad_norm: 2.5143 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9204 loss: 2.9204 2022/08/14 16:35:22 - mmengine - INFO - Epoch(train) [79][400/3757] lr: 7.8790e-02 eta: 3 days, 2:12:49 time: 0.3984 data_time: 0.0145 memory: 13431 grad_norm: 2.5234 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1328 loss: 3.1328 2022/08/14 16:36:02 - mmengine - INFO - Epoch(train) [79][500/3757] lr: 7.8790e-02 eta: 3 days, 2:12:09 time: 0.3989 data_time: 0.0142 memory: 13431 grad_norm: 2.5169 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7577 loss: 2.7577 2022/08/14 16:36:43 - mmengine - INFO - Epoch(train) [79][600/3757] lr: 7.8790e-02 eta: 3 days, 2:11:31 time: 0.4061 data_time: 0.0146 memory: 13431 grad_norm: 2.4736 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9126 loss: 2.9126 2022/08/14 16:37:23 - mmengine - INFO - Epoch(train) [79][700/3757] lr: 7.8790e-02 eta: 3 days, 2:10:51 time: 0.4009 data_time: 0.0147 memory: 13431 grad_norm: 2.5133 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0773 loss: 3.0773 2022/08/14 16:38:04 - mmengine - INFO - Epoch(train) [79][800/3757] lr: 7.8790e-02 eta: 3 days, 2:10:12 time: 0.4004 data_time: 0.0140 memory: 13431 grad_norm: 2.6411 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9856 loss: 2.9856 2022/08/14 16:38:44 - mmengine - INFO - Epoch(train) [79][900/3757] lr: 7.8790e-02 eta: 3 days, 2:09:32 time: 0.4007 data_time: 0.0143 memory: 13431 grad_norm: 2.5770 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0867 loss: 3.0867 2022/08/14 16:39:05 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 16:39:24 - mmengine - INFO - Epoch(train) [79][1000/3757] lr: 7.8790e-02 eta: 3 days, 2:08:52 time: 0.4011 data_time: 0.0157 memory: 13431 grad_norm: 2.4743 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7731 loss: 2.7731 2022/08/14 16:40:04 - mmengine - INFO - Epoch(train) [79][1100/3757] lr: 7.8790e-02 eta: 3 days, 2:08:13 time: 0.4046 data_time: 0.0161 memory: 13431 grad_norm: 2.5275 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8833 loss: 2.8833 2022/08/14 16:40:44 - mmengine - INFO - Epoch(train) [79][1200/3757] lr: 7.8790e-02 eta: 3 days, 2:07:33 time: 0.4017 data_time: 0.0141 memory: 13431 grad_norm: 2.4337 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0884 loss: 3.0884 2022/08/14 16:41:25 - mmengine - INFO - Epoch(train) [79][1300/3757] lr: 7.8790e-02 eta: 3 days, 2:06:54 time: 0.3991 data_time: 0.0143 memory: 13431 grad_norm: 2.4475 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7282 loss: 2.7282 2022/08/14 16:42:05 - mmengine - INFO - Epoch(train) [79][1400/3757] lr: 7.8790e-02 eta: 3 days, 2:06:15 time: 0.3992 data_time: 0.0148 memory: 13431 grad_norm: 2.5376 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0288 loss: 3.0288 2022/08/14 16:42:45 - mmengine - INFO - Epoch(train) [79][1500/3757] lr: 7.8790e-02 eta: 3 days, 2:05:35 time: 0.3986 data_time: 0.0145 memory: 13431 grad_norm: 2.4262 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6946 loss: 2.6946 2022/08/14 16:43:26 - mmengine - INFO - Epoch(train) [79][1600/3757] lr: 7.8790e-02 eta: 3 days, 2:04:56 time: 0.3992 data_time: 0.0148 memory: 13431 grad_norm: 2.4419 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8920 loss: 2.8920 2022/08/14 16:44:06 - mmengine - INFO - Epoch(train) [79][1700/3757] lr: 7.8790e-02 eta: 3 days, 2:04:16 time: 0.3997 data_time: 0.0138 memory: 13431 grad_norm: 2.4651 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9136 loss: 2.9136 2022/08/14 16:44:46 - mmengine - INFO - Epoch(train) [79][1800/3757] lr: 7.8790e-02 eta: 3 days, 2:03:36 time: 0.3978 data_time: 0.0141 memory: 13431 grad_norm: 2.4943 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.9134 loss: 2.9134 2022/08/14 16:45:26 - mmengine - INFO - Epoch(train) [79][1900/3757] lr: 7.8790e-02 eta: 3 days, 2:02:56 time: 0.3998 data_time: 0.0146 memory: 13431 grad_norm: 2.4767 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0163 loss: 3.0163 2022/08/14 16:45:48 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 16:46:06 - mmengine - INFO - Epoch(train) [79][2000/3757] lr: 7.8790e-02 eta: 3 days, 2:02:17 time: 0.4047 data_time: 0.0138 memory: 13431 grad_norm: 2.4527 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6155 loss: 2.6155 2022/08/14 16:46:47 - mmengine - INFO - Epoch(train) [79][2100/3757] lr: 7.8790e-02 eta: 3 days, 2:01:38 time: 0.4000 data_time: 0.0140 memory: 13431 grad_norm: 2.4984 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6943 loss: 2.6943 2022/08/14 16:47:27 - mmengine - INFO - Epoch(train) [79][2200/3757] lr: 7.8790e-02 eta: 3 days, 2:00:59 time: 0.3987 data_time: 0.0140 memory: 13431 grad_norm: 2.4902 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.9836 loss: 2.9836 2022/08/14 16:48:08 - mmengine - INFO - Epoch(train) [79][2300/3757] lr: 7.8790e-02 eta: 3 days, 2:00:19 time: 0.4005 data_time: 0.0139 memory: 13431 grad_norm: 2.4847 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.0361 loss: 3.0361 2022/08/14 16:48:48 - mmengine - INFO - Epoch(train) [79][2400/3757] lr: 7.8790e-02 eta: 3 days, 1:59:40 time: 0.4105 data_time: 0.0147 memory: 13431 grad_norm: 2.5300 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9460 loss: 2.9460 2022/08/14 16:49:28 - mmengine - INFO - Epoch(train) [79][2500/3757] lr: 7.8790e-02 eta: 3 days, 1:59:01 time: 0.4060 data_time: 0.0160 memory: 13431 grad_norm: 2.5109 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9866 loss: 2.9866 2022/08/14 16:50:09 - mmengine - INFO - Epoch(train) [79][2600/3757] lr: 7.8790e-02 eta: 3 days, 1:58:21 time: 0.4049 data_time: 0.0143 memory: 13431 grad_norm: 2.4531 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8992 loss: 2.8992 2022/08/14 16:50:49 - mmengine - INFO - Epoch(train) [79][2700/3757] lr: 7.8790e-02 eta: 3 days, 1:57:42 time: 0.4010 data_time: 0.0140 memory: 13431 grad_norm: 2.5313 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7907 loss: 2.7907 2022/08/14 16:51:30 - mmengine - INFO - Epoch(train) [79][2800/3757] lr: 7.8790e-02 eta: 3 days, 1:57:04 time: 0.4015 data_time: 0.0152 memory: 13431 grad_norm: 2.5640 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1483 loss: 3.1483 2022/08/14 16:52:10 - mmengine - INFO - Epoch(train) [79][2900/3757] lr: 7.8790e-02 eta: 3 days, 1:56:25 time: 0.4014 data_time: 0.0143 memory: 13431 grad_norm: 2.4352 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0822 loss: 3.0822 2022/08/14 16:52:32 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 16:52:50 - mmengine - INFO - Epoch(train) [79][3000/3757] lr: 7.8790e-02 eta: 3 days, 1:55:45 time: 0.3991 data_time: 0.0138 memory: 13431 grad_norm: 2.5367 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7467 loss: 2.7467 2022/08/14 16:53:31 - mmengine - INFO - Epoch(train) [79][3100/3757] lr: 7.8790e-02 eta: 3 days, 1:55:05 time: 0.4012 data_time: 0.0154 memory: 13431 grad_norm: 2.4815 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.9714 loss: 2.9714 2022/08/14 16:54:11 - mmengine - INFO - Epoch(train) [79][3200/3757] lr: 7.8790e-02 eta: 3 days, 1:54:25 time: 0.3986 data_time: 0.0143 memory: 13431 grad_norm: 2.4315 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0324 loss: 3.0324 2022/08/14 16:54:51 - mmengine - INFO - Epoch(train) [79][3300/3757] lr: 7.8790e-02 eta: 3 days, 1:53:46 time: 0.3998 data_time: 0.0141 memory: 13431 grad_norm: 2.5238 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9975 loss: 2.9975 2022/08/14 16:55:32 - mmengine - INFO - Epoch(train) [79][3400/3757] lr: 7.8790e-02 eta: 3 days, 1:53:07 time: 0.4128 data_time: 0.0167 memory: 13431 grad_norm: 2.4395 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4830 loss: 2.4830 2022/08/14 16:56:12 - mmengine - INFO - Epoch(train) [79][3500/3757] lr: 7.8790e-02 eta: 3 days, 1:52:28 time: 0.3996 data_time: 0.0144 memory: 13431 grad_norm: 2.4705 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.2389 loss: 3.2389 2022/08/14 16:56:52 - mmengine - INFO - Epoch(train) [79][3600/3757] lr: 7.8790e-02 eta: 3 days, 1:51:48 time: 0.3992 data_time: 0.0155 memory: 13431 grad_norm: 2.4612 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.8326 loss: 2.8326 2022/08/14 16:57:32 - mmengine - INFO - Epoch(train) [79][3700/3757] lr: 7.8790e-02 eta: 3 days, 1:51:08 time: 0.3997 data_time: 0.0135 memory: 13431 grad_norm: 2.4435 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.7594 loss: 2.7594 2022/08/14 16:57:55 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 16:57:55 - mmengine - INFO - Epoch(train) [79][3757/3757] lr: 7.8790e-02 eta: 3 days, 1:50:52 time: 0.3867 data_time: 0.0139 memory: 13431 grad_norm: 2.4720 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 3.0192 loss: 3.0192 2022/08/14 16:58:37 - mmengine - INFO - Epoch(train) [80][100/3757] lr: 7.8287e-02 eta: 3 days, 1:49:55 time: 0.3996 data_time: 0.0145 memory: 13431 grad_norm: 2.4915 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7924 loss: 2.7924 2022/08/14 16:59:16 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 16:59:17 - mmengine - INFO - Epoch(train) [80][200/3757] lr: 7.8287e-02 eta: 3 days, 1:49:15 time: 0.3990 data_time: 0.0144 memory: 13431 grad_norm: 2.4103 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9010 loss: 2.9010 2022/08/14 16:59:58 - mmengine - INFO - Epoch(train) [80][300/3757] lr: 7.8287e-02 eta: 3 days, 1:48:35 time: 0.3976 data_time: 0.0146 memory: 13431 grad_norm: 2.5392 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.9473 loss: 2.9473 2022/08/14 17:00:38 - mmengine - INFO - Epoch(train) [80][400/3757] lr: 7.8287e-02 eta: 3 days, 1:47:56 time: 0.4056 data_time: 0.0138 memory: 13431 grad_norm: 2.5078 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0689 loss: 3.0689 2022/08/14 17:01:18 - mmengine - INFO - Epoch(train) [80][500/3757] lr: 7.8287e-02 eta: 3 days, 1:47:17 time: 0.3988 data_time: 0.0143 memory: 13431 grad_norm: 2.5113 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7964 loss: 2.7964 2022/08/14 17:01:59 - mmengine - INFO - Epoch(train) [80][600/3757] lr: 7.8287e-02 eta: 3 days, 1:46:39 time: 0.3991 data_time: 0.0151 memory: 13431 grad_norm: 2.5364 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0101 loss: 3.0101 2022/08/14 17:02:39 - mmengine - INFO - Epoch(train) [80][700/3757] lr: 7.8287e-02 eta: 3 days, 1:45:59 time: 0.4004 data_time: 0.0142 memory: 13431 grad_norm: 2.5179 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8054 loss: 2.8054 2022/08/14 17:03:20 - mmengine - INFO - Epoch(train) [80][800/3757] lr: 7.8287e-02 eta: 3 days, 1:45:20 time: 0.3997 data_time: 0.0143 memory: 13431 grad_norm: 2.6515 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9780 loss: 2.9780 2022/08/14 17:04:00 - mmengine - INFO - Epoch(train) [80][900/3757] lr: 7.8287e-02 eta: 3 days, 1:44:40 time: 0.3994 data_time: 0.0153 memory: 13431 grad_norm: 2.5198 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6279 loss: 2.6279 2022/08/14 17:04:41 - mmengine - INFO - Epoch(train) [80][1000/3757] lr: 7.8287e-02 eta: 3 days, 1:44:01 time: 0.4010 data_time: 0.0161 memory: 13431 grad_norm: 2.4294 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9202 loss: 2.9202 2022/08/14 17:05:21 - mmengine - INFO - Epoch(train) [80][1100/3757] lr: 7.8287e-02 eta: 3 days, 1:43:23 time: 0.4137 data_time: 0.0174 memory: 13431 grad_norm: 2.4824 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7525 loss: 2.7525 2022/08/14 17:06:00 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 17:06:02 - mmengine - INFO - Epoch(train) [80][1200/3757] lr: 7.8287e-02 eta: 3 days, 1:42:43 time: 0.4001 data_time: 0.0148 memory: 13431 grad_norm: 2.4639 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8270 loss: 2.8270 2022/08/14 17:06:42 - mmengine - INFO - Epoch(train) [80][1300/3757] lr: 7.8287e-02 eta: 3 days, 1:42:04 time: 0.4035 data_time: 0.0158 memory: 13431 grad_norm: 2.4810 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6649 loss: 2.6649 2022/08/14 17:07:22 - mmengine - INFO - Epoch(train) [80][1400/3757] lr: 7.8287e-02 eta: 3 days, 1:41:24 time: 0.4009 data_time: 0.0151 memory: 13431 grad_norm: 2.4596 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6435 loss: 2.6435 2022/08/14 17:08:02 - mmengine - INFO - Epoch(train) [80][1500/3757] lr: 7.8287e-02 eta: 3 days, 1:40:44 time: 0.4021 data_time: 0.0170 memory: 13431 grad_norm: 2.4464 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7940 loss: 2.7940 2022/08/14 17:08:42 - mmengine - INFO - Epoch(train) [80][1600/3757] lr: 7.8287e-02 eta: 3 days, 1:40:05 time: 0.4059 data_time: 0.0154 memory: 13431 grad_norm: 2.4402 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8352 loss: 2.8352 2022/08/14 17:09:23 - mmengine - INFO - Epoch(train) [80][1700/3757] lr: 7.8287e-02 eta: 3 days, 1:39:25 time: 0.4028 data_time: 0.0157 memory: 13431 grad_norm: 2.4583 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8732 loss: 2.8732 2022/08/14 17:10:03 - mmengine - INFO - Epoch(train) [80][1800/3757] lr: 7.8287e-02 eta: 3 days, 1:38:46 time: 0.4049 data_time: 0.0154 memory: 13431 grad_norm: 2.5822 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1338 loss: 3.1338 2022/08/14 17:10:44 - mmengine - INFO - Epoch(train) [80][1900/3757] lr: 7.8287e-02 eta: 3 days, 1:38:07 time: 0.4005 data_time: 0.0149 memory: 13431 grad_norm: 2.5499 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1032 loss: 3.1032 2022/08/14 17:11:24 - mmengine - INFO - Epoch(train) [80][2000/3757] lr: 7.8287e-02 eta: 3 days, 1:37:27 time: 0.3999 data_time: 0.0147 memory: 13431 grad_norm: 2.5314 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7052 loss: 2.7052 2022/08/14 17:12:04 - mmengine - INFO - Epoch(train) [80][2100/3757] lr: 7.8287e-02 eta: 3 days, 1:36:47 time: 0.3990 data_time: 0.0162 memory: 13431 grad_norm: 2.4974 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8640 loss: 2.8640 2022/08/14 17:12:43 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 17:12:44 - mmengine - INFO - Epoch(train) [80][2200/3757] lr: 7.8287e-02 eta: 3 days, 1:36:08 time: 0.4099 data_time: 0.0160 memory: 13431 grad_norm: 2.4685 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8607 loss: 2.8607 2022/08/14 17:13:25 - mmengine - INFO - Epoch(train) [80][2300/3757] lr: 7.8287e-02 eta: 3 days, 1:35:28 time: 0.4014 data_time: 0.0152 memory: 13431 grad_norm: 2.5328 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6783 loss: 2.6783 2022/08/14 17:14:05 - mmengine - INFO - Epoch(train) [80][2400/3757] lr: 7.8287e-02 eta: 3 days, 1:34:50 time: 0.4108 data_time: 0.0183 memory: 13431 grad_norm: 2.4896 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7257 loss: 2.7257 2022/08/14 17:14:46 - mmengine - INFO - Epoch(train) [80][2500/3757] lr: 7.8287e-02 eta: 3 days, 1:34:11 time: 0.4081 data_time: 0.0158 memory: 13431 grad_norm: 2.4893 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6750 loss: 2.6750 2022/08/14 17:15:26 - mmengine - INFO - Epoch(train) [80][2600/3757] lr: 7.8287e-02 eta: 3 days, 1:33:31 time: 0.4020 data_time: 0.0147 memory: 13431 grad_norm: 2.5765 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8919 loss: 2.8919 2022/08/14 17:16:06 - mmengine - INFO - Epoch(train) [80][2700/3757] lr: 7.8287e-02 eta: 3 days, 1:32:52 time: 0.4033 data_time: 0.0173 memory: 13431 grad_norm: 2.4543 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8727 loss: 2.8727 2022/08/14 17:16:46 - mmengine - INFO - Epoch(train) [80][2800/3757] lr: 7.8287e-02 eta: 3 days, 1:32:12 time: 0.4021 data_time: 0.0151 memory: 13431 grad_norm: 2.4295 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1099 loss: 3.1099 2022/08/14 17:17:27 - mmengine - INFO - Epoch(train) [80][2900/3757] lr: 7.8287e-02 eta: 3 days, 1:31:32 time: 0.4018 data_time: 0.0160 memory: 13431 grad_norm: 2.4598 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9034 loss: 2.9034 2022/08/14 17:18:07 - mmengine - INFO - Epoch(train) [80][3000/3757] lr: 7.8287e-02 eta: 3 days, 1:30:53 time: 0.4005 data_time: 0.0140 memory: 13431 grad_norm: 2.4401 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9229 loss: 2.9229 2022/08/14 17:18:47 - mmengine - INFO - Epoch(train) [80][3100/3757] lr: 7.8287e-02 eta: 3 days, 1:30:13 time: 0.4035 data_time: 0.0152 memory: 13431 grad_norm: 2.5007 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.9307 loss: 2.9307 2022/08/14 17:19:26 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 17:19:28 - mmengine - INFO - Epoch(train) [80][3200/3757] lr: 7.8287e-02 eta: 3 days, 1:29:34 time: 0.4097 data_time: 0.0148 memory: 13431 grad_norm: 2.5117 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6960 loss: 2.6960 2022/08/14 17:20:08 - mmengine - INFO - Epoch(train) [80][3300/3757] lr: 7.8287e-02 eta: 3 days, 1:28:54 time: 0.3999 data_time: 0.0145 memory: 13431 grad_norm: 2.5611 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8433 loss: 2.8433 2022/08/14 17:20:48 - mmengine - INFO - Epoch(train) [80][3400/3757] lr: 7.8287e-02 eta: 3 days, 1:28:15 time: 0.4018 data_time: 0.0150 memory: 13431 grad_norm: 2.4706 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9072 loss: 2.9072 2022/08/14 17:21:28 - mmengine - INFO - Epoch(train) [80][3500/3757] lr: 7.8287e-02 eta: 3 days, 1:27:35 time: 0.4006 data_time: 0.0152 memory: 13431 grad_norm: 2.5031 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6961 loss: 2.6961 2022/08/14 17:22:08 - mmengine - INFO - Epoch(train) [80][3600/3757] lr: 7.8287e-02 eta: 3 days, 1:26:55 time: 0.4035 data_time: 0.0150 memory: 13431 grad_norm: 2.4410 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8632 loss: 2.8632 2022/08/14 17:22:48 - mmengine - INFO - Epoch(train) [80][3700/3757] lr: 7.8287e-02 eta: 3 days, 1:26:15 time: 0.3998 data_time: 0.0149 memory: 13431 grad_norm: 2.4791 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9252 loss: 2.9252 2022/08/14 17:23:11 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 17:23:11 - mmengine - INFO - Epoch(train) [80][3757/3757] lr: 7.8287e-02 eta: 3 days, 1:25:59 time: 0.3939 data_time: 0.0143 memory: 13431 grad_norm: 2.4925 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 3.1487 loss: 3.1487 2022/08/14 17:23:11 - mmengine - INFO - Saving checkpoint at 80 epochs 2022/08/14 17:23:39 - mmengine - INFO - Epoch(val) [80][100/310] eta: 0:00:46 time: 0.2235 data_time: 0.0961 memory: 1974 2022/08/14 17:24:01 - mmengine - INFO - Epoch(val) [80][200/310] eta: 0:00:20 time: 0.1895 data_time: 0.0585 memory: 1974 2022/08/14 17:24:20 - mmengine - INFO - Epoch(val) [80][300/310] eta: 0:00:01 time: 0.1280 data_time: 0.0193 memory: 1974 2022/08/14 17:24:23 - mmengine - INFO - Epoch(val) [80][310/310] acc/top1: 0.4428 acc/top5: 0.7151 acc/mean1: 0.4425 2022/08/14 17:24:23 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_66.pth is removed 2022/08/14 17:24:27 - mmengine - INFO - The best checkpoint with 0.4428 acc/top1 at 81 epoch is saved to best_acc/top1_epoch_81.pth. 2022/08/14 17:25:08 - mmengine - INFO - Epoch(train) [81][100/3757] lr: 7.7779e-02 eta: 3 days, 1:25:00 time: 0.3985 data_time: 0.0148 memory: 13431 grad_norm: 2.4304 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7373 loss: 2.7373 2022/08/14 17:25:48 - mmengine - INFO - Epoch(train) [81][200/3757] lr: 7.7779e-02 eta: 3 days, 1:24:20 time: 0.3996 data_time: 0.0148 memory: 13431 grad_norm: 2.4829 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7721 loss: 2.7721 2022/08/14 17:26:28 - mmengine - INFO - Epoch(train) [81][300/3757] lr: 7.7779e-02 eta: 3 days, 1:23:40 time: 0.4012 data_time: 0.0146 memory: 13431 grad_norm: 2.5404 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8490 loss: 2.8490 2022/08/14 17:27:08 - mmengine - INFO - Epoch(train) [81][400/3757] lr: 7.7779e-02 eta: 3 days, 1:23:00 time: 0.3991 data_time: 0.0143 memory: 13431 grad_norm: 2.5756 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9612 loss: 2.9612 2022/08/14 17:27:24 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 17:27:48 - mmengine - INFO - Epoch(train) [81][500/3757] lr: 7.7779e-02 eta: 3 days, 1:22:21 time: 0.4020 data_time: 0.0145 memory: 13431 grad_norm: 2.6543 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.8966 loss: 2.8966 2022/08/14 17:28:29 - mmengine - INFO - Epoch(train) [81][600/3757] lr: 7.7779e-02 eta: 3 days, 1:21:42 time: 0.4126 data_time: 0.0152 memory: 13431 grad_norm: 2.4756 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.8938 loss: 2.8938 2022/08/14 17:29:10 - mmengine - INFO - Epoch(train) [81][700/3757] lr: 7.7779e-02 eta: 3 days, 1:21:04 time: 0.3971 data_time: 0.0141 memory: 13431 grad_norm: 2.5752 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9629 loss: 2.9629 2022/08/14 17:29:50 - mmengine - INFO - Epoch(train) [81][800/3757] lr: 7.7779e-02 eta: 3 days, 1:20:25 time: 0.3981 data_time: 0.0165 memory: 13431 grad_norm: 2.5301 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8386 loss: 2.8386 2022/08/14 17:30:31 - mmengine - INFO - Epoch(train) [81][900/3757] lr: 7.7779e-02 eta: 3 days, 1:19:45 time: 0.3989 data_time: 0.0145 memory: 13431 grad_norm: 2.5349 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.0512 loss: 3.0512 2022/08/14 17:31:11 - mmengine - INFO - Epoch(train) [81][1000/3757] lr: 7.7779e-02 eta: 3 days, 1:19:05 time: 0.3988 data_time: 0.0146 memory: 13431 grad_norm: 2.5762 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5022 loss: 2.5022 2022/08/14 17:31:51 - mmengine - INFO - Epoch(train) [81][1100/3757] lr: 7.7779e-02 eta: 3 days, 1:18:26 time: 0.3979 data_time: 0.0133 memory: 13431 grad_norm: 2.5215 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8040 loss: 2.8040 2022/08/14 17:32:31 - mmengine - INFO - Epoch(train) [81][1200/3757] lr: 7.7779e-02 eta: 3 days, 1:17:46 time: 0.3978 data_time: 0.0146 memory: 13431 grad_norm: 2.4346 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8403 loss: 2.8403 2022/08/14 17:33:11 - mmengine - INFO - Epoch(train) [81][1300/3757] lr: 7.7779e-02 eta: 3 days, 1:17:06 time: 0.4073 data_time: 0.0145 memory: 13431 grad_norm: 2.4792 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6873 loss: 2.6873 2022/08/14 17:33:52 - mmengine - INFO - Epoch(train) [81][1400/3757] lr: 7.7779e-02 eta: 3 days, 1:16:27 time: 0.3992 data_time: 0.0136 memory: 13431 grad_norm: 2.4503 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4923 loss: 2.4923 2022/08/14 17:34:08 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 17:34:32 - mmengine - INFO - Epoch(train) [81][1500/3757] lr: 7.7779e-02 eta: 3 days, 1:15:48 time: 0.4010 data_time: 0.0149 memory: 13431 grad_norm: 2.5345 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6833 loss: 2.6833 2022/08/14 17:35:12 - mmengine - INFO - Epoch(train) [81][1600/3757] lr: 7.7779e-02 eta: 3 days, 1:15:08 time: 0.3968 data_time: 0.0138 memory: 13431 grad_norm: 2.4834 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7032 loss: 2.7032 2022/08/14 17:35:52 - mmengine - INFO - Epoch(train) [81][1700/3757] lr: 7.7779e-02 eta: 3 days, 1:14:28 time: 0.3985 data_time: 0.0146 memory: 13431 grad_norm: 2.4493 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9106 loss: 2.9106 2022/08/14 17:36:32 - mmengine - INFO - Epoch(train) [81][1800/3757] lr: 7.7779e-02 eta: 3 days, 1:13:48 time: 0.4021 data_time: 0.0167 memory: 13431 grad_norm: 2.4258 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.7769 loss: 2.7769 2022/08/14 17:37:13 - mmengine - INFO - Epoch(train) [81][1900/3757] lr: 7.7779e-02 eta: 3 days, 1:13:08 time: 0.4032 data_time: 0.0158 memory: 13431 grad_norm: 2.4922 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6487 loss: 2.6487 2022/08/14 17:37:53 - mmengine - INFO - Epoch(train) [81][2000/3757] lr: 7.7779e-02 eta: 3 days, 1:12:29 time: 0.4038 data_time: 0.0166 memory: 13431 grad_norm: 2.5742 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.4261 loss: 2.4261 2022/08/14 17:38:33 - mmengine - INFO - Epoch(train) [81][2100/3757] lr: 7.7779e-02 eta: 3 days, 1:11:49 time: 0.3998 data_time: 0.0140 memory: 13431 grad_norm: 2.4691 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8937 loss: 2.8937 2022/08/14 17:39:14 - mmengine - INFO - Epoch(train) [81][2200/3757] lr: 7.7779e-02 eta: 3 days, 1:11:10 time: 0.4000 data_time: 0.0151 memory: 13431 grad_norm: 2.5465 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8226 loss: 2.8226 2022/08/14 17:39:54 - mmengine - INFO - Epoch(train) [81][2300/3757] lr: 7.7779e-02 eta: 3 days, 1:10:31 time: 0.4022 data_time: 0.0161 memory: 13431 grad_norm: 2.5481 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.9942 loss: 2.9942 2022/08/14 17:40:34 - mmengine - INFO - Epoch(train) [81][2400/3757] lr: 7.7779e-02 eta: 3 days, 1:09:51 time: 0.3997 data_time: 0.0161 memory: 13431 grad_norm: 2.5271 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1193 loss: 3.1193 2022/08/14 17:40:50 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 17:41:14 - mmengine - INFO - Epoch(train) [81][2500/3757] lr: 7.7779e-02 eta: 3 days, 1:09:11 time: 0.4009 data_time: 0.0147 memory: 13431 grad_norm: 2.4544 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6584 loss: 2.6584 2022/08/14 17:41:55 - mmengine - INFO - Epoch(train) [81][2600/3757] lr: 7.7779e-02 eta: 3 days, 1:08:32 time: 0.4019 data_time: 0.0151 memory: 13431 grad_norm: 2.5752 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9715 loss: 2.9715 2022/08/14 17:42:35 - mmengine - INFO - Epoch(train) [81][2700/3757] lr: 7.7779e-02 eta: 3 days, 1:07:53 time: 0.4085 data_time: 0.0141 memory: 13431 grad_norm: 2.4645 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9837 loss: 2.9837 2022/08/14 17:43:15 - mmengine - INFO - Epoch(train) [81][2800/3757] lr: 7.7779e-02 eta: 3 days, 1:07:13 time: 0.4031 data_time: 0.0153 memory: 13431 grad_norm: 2.4807 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6136 loss: 2.6136 2022/08/14 17:43:56 - mmengine - INFO - Epoch(train) [81][2900/3757] lr: 7.7779e-02 eta: 3 days, 1:06:34 time: 0.4000 data_time: 0.0151 memory: 13431 grad_norm: 2.4713 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.7277 loss: 2.7277 2022/08/14 17:44:36 - mmengine - INFO - Epoch(train) [81][3000/3757] lr: 7.7779e-02 eta: 3 days, 1:05:55 time: 0.4033 data_time: 0.0153 memory: 13431 grad_norm: 2.5356 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9555 loss: 2.9555 2022/08/14 17:45:16 - mmengine - INFO - Epoch(train) [81][3100/3757] lr: 7.7779e-02 eta: 3 days, 1:05:15 time: 0.3988 data_time: 0.0152 memory: 13431 grad_norm: 2.4575 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5396 loss: 2.5396 2022/08/14 17:45:56 - mmengine - INFO - Epoch(train) [81][3200/3757] lr: 7.7779e-02 eta: 3 days, 1:04:35 time: 0.3999 data_time: 0.0142 memory: 13431 grad_norm: 2.5650 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1987 loss: 3.1987 2022/08/14 17:46:37 - mmengine - INFO - Epoch(train) [81][3300/3757] lr: 7.7779e-02 eta: 3 days, 1:03:55 time: 0.4092 data_time: 0.0148 memory: 13431 grad_norm: 2.5349 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8165 loss: 2.8165 2022/08/14 17:47:17 - mmengine - INFO - Epoch(train) [81][3400/3757] lr: 7.7779e-02 eta: 3 days, 1:03:16 time: 0.4115 data_time: 0.0144 memory: 13431 grad_norm: 2.5648 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7676 loss: 2.7676 2022/08/14 17:47:33 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 17:47:58 - mmengine - INFO - Epoch(train) [81][3500/3757] lr: 7.7779e-02 eta: 3 days, 1:02:37 time: 0.3997 data_time: 0.0155 memory: 13431 grad_norm: 2.5801 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8464 loss: 2.8464 2022/08/14 17:48:38 - mmengine - INFO - Epoch(train) [81][3600/3757] lr: 7.7779e-02 eta: 3 days, 1:01:57 time: 0.3995 data_time: 0.0148 memory: 13431 grad_norm: 2.5395 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1047 loss: 3.1047 2022/08/14 17:49:18 - mmengine - INFO - Epoch(train) [81][3700/3757] lr: 7.7779e-02 eta: 3 days, 1:01:18 time: 0.4027 data_time: 0.0153 memory: 13431 grad_norm: 2.4507 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.6731 loss: 2.6731 2022/08/14 17:49:41 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 17:49:41 - mmengine - INFO - Epoch(train) [81][3757/3757] lr: 7.7779e-02 eta: 3 days, 1:01:02 time: 0.3922 data_time: 0.0156 memory: 13431 grad_norm: 2.4794 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 3.0757 loss: 3.0757 2022/08/14 17:50:23 - mmengine - INFO - Epoch(train) [82][100/3757] lr: 7.7266e-02 eta: 3 days, 1:00:06 time: 0.3977 data_time: 0.0144 memory: 13431 grad_norm: 2.4556 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7783 loss: 2.7783 2022/08/14 17:51:03 - mmengine - INFO - Epoch(train) [82][200/3757] lr: 7.7266e-02 eta: 3 days, 0:59:26 time: 0.3989 data_time: 0.0142 memory: 13431 grad_norm: 2.4936 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9960 loss: 2.9960 2022/08/14 17:51:44 - mmengine - INFO - Epoch(train) [82][300/3757] lr: 7.7266e-02 eta: 3 days, 0:58:47 time: 0.4009 data_time: 0.0149 memory: 13431 grad_norm: 2.5388 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7743 loss: 2.7743 2022/08/14 17:52:24 - mmengine - INFO - Epoch(train) [82][400/3757] lr: 7.7266e-02 eta: 3 days, 0:58:07 time: 0.4037 data_time: 0.0141 memory: 13431 grad_norm: 2.5130 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7654 loss: 2.7654 2022/08/14 17:53:05 - mmengine - INFO - Epoch(train) [82][500/3757] lr: 7.7266e-02 eta: 3 days, 0:57:28 time: 0.3995 data_time: 0.0152 memory: 13431 grad_norm: 2.5139 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7005 loss: 2.7005 2022/08/14 17:53:45 - mmengine - INFO - Epoch(train) [82][600/3757] lr: 7.7266e-02 eta: 3 days, 0:56:49 time: 0.4013 data_time: 0.0154 memory: 13431 grad_norm: 2.5950 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8935 loss: 2.8935 2022/08/14 17:54:18 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 17:54:25 - mmengine - INFO - Epoch(train) [82][700/3757] lr: 7.7266e-02 eta: 3 days, 0:56:09 time: 0.4059 data_time: 0.0151 memory: 13431 grad_norm: 2.5157 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9791 loss: 2.9791 2022/08/14 17:55:05 - mmengine - INFO - Epoch(train) [82][800/3757] lr: 7.7266e-02 eta: 3 days, 0:55:29 time: 0.4043 data_time: 0.0162 memory: 13431 grad_norm: 2.5952 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6188 loss: 2.6188 2022/08/14 17:55:46 - mmengine - INFO - Epoch(train) [82][900/3757] lr: 7.7266e-02 eta: 3 days, 0:54:49 time: 0.4008 data_time: 0.0153 memory: 13431 grad_norm: 2.4737 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8172 loss: 2.8172 2022/08/14 17:56:26 - mmengine - INFO - Epoch(train) [82][1000/3757] lr: 7.7266e-02 eta: 3 days, 0:54:10 time: 0.4017 data_time: 0.0148 memory: 13431 grad_norm: 2.5255 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9470 loss: 2.9470 2022/08/14 17:57:07 - mmengine - INFO - Epoch(train) [82][1100/3757] lr: 7.7266e-02 eta: 3 days, 0:53:31 time: 0.4092 data_time: 0.0145 memory: 13431 grad_norm: 2.4574 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.5864 loss: 2.5864 2022/08/14 17:57:47 - mmengine - INFO - Epoch(train) [82][1200/3757] lr: 7.7266e-02 eta: 3 days, 0:52:52 time: 0.4020 data_time: 0.0153 memory: 13431 grad_norm: 2.6522 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9026 loss: 2.9026 2022/08/14 17:58:28 - mmengine - INFO - Epoch(train) [82][1300/3757] lr: 7.7266e-02 eta: 3 days, 0:52:13 time: 0.4059 data_time: 0.0152 memory: 13431 grad_norm: 2.4709 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8660 loss: 2.8660 2022/08/14 17:59:08 - mmengine - INFO - Epoch(train) [82][1400/3757] lr: 7.7266e-02 eta: 3 days, 0:51:34 time: 0.4017 data_time: 0.0153 memory: 13431 grad_norm: 2.5547 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.7778 loss: 2.7778 2022/08/14 17:59:48 - mmengine - INFO - Epoch(train) [82][1500/3757] lr: 7.7266e-02 eta: 3 days, 0:50:54 time: 0.4035 data_time: 0.0154 memory: 13431 grad_norm: 2.5337 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8439 loss: 2.8439 2022/08/14 18:00:33 - mmengine - INFO - Epoch(train) [82][1600/3757] lr: 7.7266e-02 eta: 3 days, 0:50:24 time: 0.4001 data_time: 0.0153 memory: 13431 grad_norm: 2.4481 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.0733 loss: 3.0733 2022/08/14 18:01:07 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 18:01:13 - mmengine - INFO - Epoch(train) [82][1700/3757] lr: 7.7266e-02 eta: 3 days, 0:49:45 time: 0.3972 data_time: 0.0150 memory: 13431 grad_norm: 2.4694 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6686 loss: 2.6686 2022/08/14 18:01:54 - mmengine - INFO - Epoch(train) [82][1800/3757] lr: 7.7266e-02 eta: 3 days, 0:49:07 time: 0.4065 data_time: 0.0145 memory: 13431 grad_norm: 2.5391 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0214 loss: 3.0214 2022/08/14 18:02:35 - mmengine - INFO - Epoch(train) [82][1900/3757] lr: 7.7266e-02 eta: 3 days, 0:48:27 time: 0.4010 data_time: 0.0150 memory: 13431 grad_norm: 2.5480 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.9759 loss: 2.9759 2022/08/14 18:03:15 - mmengine - INFO - Epoch(train) [82][2000/3757] lr: 7.7266e-02 eta: 3 days, 0:47:48 time: 0.4010 data_time: 0.0142 memory: 13431 grad_norm: 2.6251 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7074 loss: 2.7074 2022/08/14 18:03:55 - mmengine - INFO - Epoch(train) [82][2100/3757] lr: 7.7266e-02 eta: 3 days, 0:47:08 time: 0.4030 data_time: 0.0155 memory: 13431 grad_norm: 2.4861 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9424 loss: 2.9424 2022/08/14 18:04:35 - mmengine - INFO - Epoch(train) [82][2200/3757] lr: 7.7266e-02 eta: 3 days, 0:46:28 time: 0.4002 data_time: 0.0157 memory: 13431 grad_norm: 2.4243 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7147 loss: 2.7147 2022/08/14 18:05:15 - mmengine - INFO - Epoch(train) [82][2300/3757] lr: 7.7266e-02 eta: 3 days, 0:45:48 time: 0.4005 data_time: 0.0145 memory: 13431 grad_norm: 2.4895 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.1791 loss: 3.1791 2022/08/14 18:05:56 - mmengine - INFO - Epoch(train) [82][2400/3757] lr: 7.7266e-02 eta: 3 days, 0:45:09 time: 0.3983 data_time: 0.0154 memory: 13431 grad_norm: 2.6706 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9240 loss: 2.9240 2022/08/14 18:06:36 - mmengine - INFO - Epoch(train) [82][2500/3757] lr: 7.7266e-02 eta: 3 days, 0:44:30 time: 0.4008 data_time: 0.0137 memory: 13431 grad_norm: 2.4857 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9640 loss: 2.9640 2022/08/14 18:07:16 - mmengine - INFO - Epoch(train) [82][2600/3757] lr: 7.7266e-02 eta: 3 days, 0:43:50 time: 0.4054 data_time: 0.0151 memory: 13431 grad_norm: 2.4780 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5971 loss: 2.5971 2022/08/14 18:07:50 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 18:07:57 - mmengine - INFO - Epoch(train) [82][2700/3757] lr: 7.7266e-02 eta: 3 days, 0:43:11 time: 0.4008 data_time: 0.0147 memory: 13431 grad_norm: 2.4853 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7388 loss: 2.7388 2022/08/14 18:08:37 - mmengine - INFO - Epoch(train) [82][2800/3757] lr: 7.7266e-02 eta: 3 days, 0:42:31 time: 0.4019 data_time: 0.0155 memory: 13431 grad_norm: 2.5805 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7752 loss: 2.7752 2022/08/14 18:09:17 - mmengine - INFO - Epoch(train) [82][2900/3757] lr: 7.7266e-02 eta: 3 days, 0:41:51 time: 0.4018 data_time: 0.0160 memory: 13431 grad_norm: 2.5519 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2146 loss: 3.2146 2022/08/14 18:09:57 - mmengine - INFO - Epoch(train) [82][3000/3757] lr: 7.7266e-02 eta: 3 days, 0:41:11 time: 0.4015 data_time: 0.0146 memory: 13431 grad_norm: 2.5430 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 2.9133 loss: 2.9133 2022/08/14 18:10:37 - mmengine - INFO - Epoch(train) [82][3100/3757] lr: 7.7266e-02 eta: 3 days, 0:40:32 time: 0.4000 data_time: 0.0151 memory: 13431 grad_norm: 2.4793 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6701 loss: 2.6701 2022/08/14 18:11:18 - mmengine - INFO - Epoch(train) [82][3200/3757] lr: 7.7266e-02 eta: 3 days, 0:39:53 time: 0.3997 data_time: 0.0147 memory: 13431 grad_norm: 2.5295 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6188 loss: 2.6188 2022/08/14 18:11:58 - mmengine - INFO - Epoch(train) [82][3300/3757] lr: 7.7266e-02 eta: 3 days, 0:39:13 time: 0.3994 data_time: 0.0150 memory: 13431 grad_norm: 2.4734 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5396 loss: 2.5396 2022/08/14 18:12:39 - mmengine - INFO - Epoch(train) [82][3400/3757] lr: 7.7266e-02 eta: 3 days, 0:38:34 time: 0.4025 data_time: 0.0166 memory: 13431 grad_norm: 2.4952 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0190 loss: 3.0190 2022/08/14 18:13:19 - mmengine - INFO - Epoch(train) [82][3500/3757] lr: 7.7266e-02 eta: 3 days, 0:37:54 time: 0.4037 data_time: 0.0150 memory: 13431 grad_norm: 2.4172 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5472 loss: 2.5472 2022/08/14 18:13:59 - mmengine - INFO - Epoch(train) [82][3600/3757] lr: 7.7266e-02 eta: 3 days, 0:37:14 time: 0.4006 data_time: 0.0147 memory: 13431 grad_norm: 2.5761 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9783 loss: 2.9783 2022/08/14 18:14:32 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 18:14:39 - mmengine - INFO - Epoch(train) [82][3700/3757] lr: 7.7266e-02 eta: 3 days, 0:36:35 time: 0.4011 data_time: 0.0158 memory: 13431 grad_norm: 2.5267 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.0277 loss: 3.0277 2022/08/14 18:15:02 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 18:15:02 - mmengine - INFO - Epoch(train) [82][3757/3757] lr: 7.7266e-02 eta: 3 days, 0:36:19 time: 0.3919 data_time: 0.0142 memory: 13431 grad_norm: 2.5278 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 2.9248 loss: 2.9248 2022/08/14 18:15:45 - mmengine - INFO - Epoch(train) [83][100/3757] lr: 7.6750e-02 eta: 3 days, 0:35:23 time: 0.3981 data_time: 0.0137 memory: 13431 grad_norm: 2.5125 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6244 loss: 2.6244 2022/08/14 18:16:25 - mmengine - INFO - Epoch(train) [83][200/3757] lr: 7.6750e-02 eta: 3 days, 0:34:43 time: 0.4066 data_time: 0.0143 memory: 13431 grad_norm: 2.5164 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8068 loss: 2.8068 2022/08/14 18:17:05 - mmengine - INFO - Epoch(train) [83][300/3757] lr: 7.6750e-02 eta: 3 days, 0:34:04 time: 0.4026 data_time: 0.0146 memory: 13431 grad_norm: 2.5981 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8263 loss: 2.8263 2022/08/14 18:17:46 - mmengine - INFO - Epoch(train) [83][400/3757] lr: 7.6750e-02 eta: 3 days, 0:33:24 time: 0.3990 data_time: 0.0146 memory: 13431 grad_norm: 2.5324 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7355 loss: 2.7355 2022/08/14 18:18:26 - mmengine - INFO - Epoch(train) [83][500/3757] lr: 7.6750e-02 eta: 3 days, 0:32:45 time: 0.3993 data_time: 0.0142 memory: 13431 grad_norm: 2.5386 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8258 loss: 2.8258 2022/08/14 18:19:06 - mmengine - INFO - Epoch(train) [83][600/3757] lr: 7.6750e-02 eta: 3 days, 0:32:05 time: 0.3987 data_time: 0.0142 memory: 13431 grad_norm: 2.5812 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6083 loss: 2.6083 2022/08/14 18:19:46 - mmengine - INFO - Epoch(train) [83][700/3757] lr: 7.6750e-02 eta: 3 days, 0:31:26 time: 0.3989 data_time: 0.0152 memory: 13431 grad_norm: 2.4627 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9021 loss: 2.9021 2022/08/14 18:20:27 - mmengine - INFO - Epoch(train) [83][800/3757] lr: 7.6750e-02 eta: 3 days, 0:30:46 time: 0.4017 data_time: 0.0138 memory: 13431 grad_norm: 2.5102 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9920 loss: 2.9920 2022/08/14 18:21:07 - mmengine - INFO - Epoch(train) [83][900/3757] lr: 7.6750e-02 eta: 3 days, 0:30:07 time: 0.4084 data_time: 0.0157 memory: 13431 grad_norm: 2.5022 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.7389 loss: 2.7389 2022/08/14 18:21:18 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 18:21:48 - mmengine - INFO - Epoch(train) [83][1000/3757] lr: 7.6750e-02 eta: 3 days, 0:29:28 time: 0.3992 data_time: 0.0151 memory: 13431 grad_norm: 2.5973 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0719 loss: 3.0719 2022/08/14 18:22:28 - mmengine - INFO - Epoch(train) [83][1100/3757] lr: 7.6750e-02 eta: 3 days, 0:28:48 time: 0.4007 data_time: 0.0170 memory: 13431 grad_norm: 2.4548 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5086 loss: 2.5086 2022/08/14 18:23:08 - mmengine - INFO - Epoch(train) [83][1200/3757] lr: 7.6750e-02 eta: 3 days, 0:28:08 time: 0.3986 data_time: 0.0146 memory: 13431 grad_norm: 2.4487 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8456 loss: 2.8456 2022/08/14 18:23:48 - mmengine - INFO - Epoch(train) [83][1300/3757] lr: 7.6750e-02 eta: 3 days, 0:27:28 time: 0.4000 data_time: 0.0143 memory: 13431 grad_norm: 2.4953 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2627 loss: 3.2627 2022/08/14 18:24:28 - mmengine - INFO - Epoch(train) [83][1400/3757] lr: 7.6750e-02 eta: 3 days, 0:26:49 time: 0.4000 data_time: 0.0169 memory: 13431 grad_norm: 2.5408 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.9935 loss: 2.9935 2022/08/14 18:25:09 - mmengine - INFO - Epoch(train) [83][1500/3757] lr: 7.6750e-02 eta: 3 days, 0:26:09 time: 0.4036 data_time: 0.0153 memory: 13431 grad_norm: 2.5252 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8525 loss: 2.8525 2022/08/14 18:25:49 - mmengine - INFO - Epoch(train) [83][1600/3757] lr: 7.6750e-02 eta: 3 days, 0:25:30 time: 0.4106 data_time: 0.0146 memory: 13431 grad_norm: 2.5156 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6285 loss: 2.6285 2022/08/14 18:26:30 - mmengine - INFO - Epoch(train) [83][1700/3757] lr: 7.6750e-02 eta: 3 days, 0:24:51 time: 0.4059 data_time: 0.0143 memory: 13431 grad_norm: 2.4607 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7907 loss: 2.7907 2022/08/14 18:27:10 - mmengine - INFO - Epoch(train) [83][1800/3757] lr: 7.6750e-02 eta: 3 days, 0:24:11 time: 0.3991 data_time: 0.0141 memory: 13431 grad_norm: 2.4971 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8721 loss: 2.8721 2022/08/14 18:27:50 - mmengine - INFO - Epoch(train) [83][1900/3757] lr: 7.6750e-02 eta: 3 days, 0:23:31 time: 0.3991 data_time: 0.0154 memory: 13431 grad_norm: 2.5103 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8178 loss: 2.8178 2022/08/14 18:28:00 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 18:28:30 - mmengine - INFO - Epoch(train) [83][2000/3757] lr: 7.6750e-02 eta: 3 days, 0:22:51 time: 0.4020 data_time: 0.0144 memory: 13431 grad_norm: 2.4858 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.0747 loss: 3.0747 2022/08/14 18:29:10 - mmengine - INFO - Epoch(train) [83][2100/3757] lr: 7.6750e-02 eta: 3 days, 0:22:11 time: 0.4001 data_time: 0.0153 memory: 13431 grad_norm: 2.5134 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7775 loss: 2.7775 2022/08/14 18:29:50 - mmengine - INFO - Epoch(train) [83][2200/3757] lr: 7.6750e-02 eta: 3 days, 0:21:32 time: 0.4054 data_time: 0.0144 memory: 13431 grad_norm: 2.4622 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5549 loss: 2.5549 2022/08/14 18:30:31 - mmengine - INFO - Epoch(train) [83][2300/3757] lr: 7.6750e-02 eta: 3 days, 0:20:53 time: 0.4070 data_time: 0.0171 memory: 13431 grad_norm: 2.4519 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0022 loss: 3.0022 2022/08/14 18:31:11 - mmengine - INFO - Epoch(train) [83][2400/3757] lr: 7.6750e-02 eta: 3 days, 0:20:13 time: 0.4035 data_time: 0.0149 memory: 13431 grad_norm: 2.4732 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8385 loss: 2.8385 2022/08/14 18:31:51 - mmengine - INFO - Epoch(train) [83][2500/3757] lr: 7.6750e-02 eta: 3 days, 0:19:33 time: 0.4019 data_time: 0.0164 memory: 13431 grad_norm: 2.4720 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7115 loss: 2.7115 2022/08/14 18:32:31 - mmengine - INFO - Epoch(train) [83][2600/3757] lr: 7.6750e-02 eta: 3 days, 0:18:54 time: 0.4002 data_time: 0.0148 memory: 13431 grad_norm: 2.4722 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9460 loss: 2.9460 2022/08/14 18:33:12 - mmengine - INFO - Epoch(train) [83][2700/3757] lr: 7.6750e-02 eta: 3 days, 0:18:14 time: 0.4006 data_time: 0.0142 memory: 13431 grad_norm: 2.5534 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9340 loss: 2.9340 2022/08/14 18:33:52 - mmengine - INFO - Epoch(train) [83][2800/3757] lr: 7.6750e-02 eta: 3 days, 0:17:33 time: 0.3993 data_time: 0.0148 memory: 13431 grad_norm: 2.5735 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6238 loss: 2.6238 2022/08/14 18:34:32 - mmengine - INFO - Epoch(train) [83][2900/3757] lr: 7.6750e-02 eta: 3 days, 0:16:54 time: 0.4055 data_time: 0.0159 memory: 13431 grad_norm: 2.5757 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1068 loss: 3.1068 2022/08/14 18:34:42 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 18:35:12 - mmengine - INFO - Epoch(train) [83][3000/3757] lr: 7.6750e-02 eta: 3 days, 0:16:15 time: 0.4087 data_time: 0.0145 memory: 13431 grad_norm: 2.5450 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9601 loss: 2.9601 2022/08/14 18:35:53 - mmengine - INFO - Epoch(train) [83][3100/3757] lr: 7.6750e-02 eta: 3 days, 0:15:36 time: 0.4036 data_time: 0.0176 memory: 13431 grad_norm: 2.5310 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6472 loss: 2.6472 2022/08/14 18:36:33 - mmengine - INFO - Epoch(train) [83][3200/3757] lr: 7.6750e-02 eta: 3 days, 0:14:56 time: 0.3999 data_time: 0.0151 memory: 13431 grad_norm: 2.5180 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5725 loss: 2.5725 2022/08/14 18:37:13 - mmengine - INFO - Epoch(train) [83][3300/3757] lr: 7.6750e-02 eta: 3 days, 0:14:17 time: 0.4016 data_time: 0.0143 memory: 13431 grad_norm: 2.5936 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8138 loss: 2.8138 2022/08/14 18:37:54 - mmengine - INFO - Epoch(train) [83][3400/3757] lr: 7.6750e-02 eta: 3 days, 0:13:37 time: 0.3993 data_time: 0.0146 memory: 13431 grad_norm: 2.5412 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9818 loss: 2.9818 2022/08/14 18:38:34 - mmengine - INFO - Epoch(train) [83][3500/3757] lr: 7.6750e-02 eta: 3 days, 0:12:57 time: 0.4007 data_time: 0.0151 memory: 13431 grad_norm: 2.4861 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8247 loss: 2.8247 2022/08/14 18:39:14 - mmengine - INFO - Epoch(train) [83][3600/3757] lr: 7.6750e-02 eta: 3 days, 0:12:17 time: 0.4107 data_time: 0.0154 memory: 13431 grad_norm: 2.4758 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7636 loss: 2.7636 2022/08/14 18:39:54 - mmengine - INFO - Epoch(train) [83][3700/3757] lr: 7.6750e-02 eta: 3 days, 0:11:38 time: 0.4016 data_time: 0.0150 memory: 13431 grad_norm: 2.5423 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7974 loss: 2.7974 2022/08/14 18:40:17 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 18:40:17 - mmengine - INFO - Epoch(train) [83][3757/3757] lr: 7.6750e-02 eta: 3 days, 0:11:22 time: 0.3894 data_time: 0.0134 memory: 13431 grad_norm: 2.5128 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.9304 loss: 2.9304 2022/08/14 18:40:59 - mmengine - INFO - Epoch(train) [84][100/3757] lr: 7.6229e-02 eta: 3 days, 0:10:26 time: 0.4003 data_time: 0.0152 memory: 13431 grad_norm: 2.5259 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8501 loss: 2.8501 2022/08/14 18:41:27 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 18:41:40 - mmengine - INFO - Epoch(train) [84][200/3757] lr: 7.6229e-02 eta: 3 days, 0:09:46 time: 0.4029 data_time: 0.0149 memory: 13431 grad_norm: 2.5620 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.5548 loss: 2.5548 2022/08/14 18:42:20 - mmengine - INFO - Epoch(train) [84][300/3757] lr: 7.6229e-02 eta: 3 days, 0:09:06 time: 0.4044 data_time: 0.0159 memory: 13431 grad_norm: 2.5296 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1093 loss: 3.1093 2022/08/14 18:43:00 - mmengine - INFO - Epoch(train) [84][400/3757] lr: 7.6229e-02 eta: 3 days, 0:08:26 time: 0.4024 data_time: 0.0148 memory: 13431 grad_norm: 2.5245 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7867 loss: 2.7867 2022/08/14 18:43:40 - mmengine - INFO - Epoch(train) [84][500/3757] lr: 7.6229e-02 eta: 3 days, 0:07:47 time: 0.4140 data_time: 0.0153 memory: 13431 grad_norm: 2.5624 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8825 loss: 2.8825 2022/08/14 18:44:21 - mmengine - INFO - Epoch(train) [84][600/3757] lr: 7.6229e-02 eta: 3 days, 0:07:08 time: 0.3988 data_time: 0.0140 memory: 13431 grad_norm: 2.5577 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6894 loss: 2.6894 2022/08/14 18:45:01 - mmengine - INFO - Epoch(train) [84][700/3757] lr: 7.6229e-02 eta: 3 days, 0:06:29 time: 0.4046 data_time: 0.0136 memory: 13431 grad_norm: 2.5860 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8030 loss: 2.8030 2022/08/14 18:45:42 - mmengine - INFO - Epoch(train) [84][800/3757] lr: 7.6229e-02 eta: 3 days, 0:05:50 time: 0.4030 data_time: 0.0172 memory: 13431 grad_norm: 2.4827 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7683 loss: 2.7683 2022/08/14 18:46:22 - mmengine - INFO - Epoch(train) [84][900/3757] lr: 7.6229e-02 eta: 3 days, 0:05:10 time: 0.3992 data_time: 0.0140 memory: 13431 grad_norm: 2.5726 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7836 loss: 2.7836 2022/08/14 18:47:02 - mmengine - INFO - Epoch(train) [84][1000/3757] lr: 7.6229e-02 eta: 3 days, 0:04:30 time: 0.4005 data_time: 0.0155 memory: 13431 grad_norm: 2.5433 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0790 loss: 3.0790 2022/08/14 18:47:42 - mmengine - INFO - Epoch(train) [84][1100/3757] lr: 7.6229e-02 eta: 3 days, 0:03:51 time: 0.4023 data_time: 0.0148 memory: 13431 grad_norm: 2.5107 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0375 loss: 3.0375 2022/08/14 18:48:10 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 18:48:23 - mmengine - INFO - Epoch(train) [84][1200/3757] lr: 7.6229e-02 eta: 3 days, 0:03:11 time: 0.4045 data_time: 0.0145 memory: 13431 grad_norm: 2.5000 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8233 loss: 2.8233 2022/08/14 18:49:03 - mmengine - INFO - Epoch(train) [84][1300/3757] lr: 7.6229e-02 eta: 3 days, 0:02:32 time: 0.3983 data_time: 0.0145 memory: 13431 grad_norm: 2.5532 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6954 loss: 2.6954 2022/08/14 18:49:44 - mmengine - INFO - Epoch(train) [84][1400/3757] lr: 7.6229e-02 eta: 3 days, 0:01:53 time: 0.4060 data_time: 0.0138 memory: 13431 grad_norm: 2.5651 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9015 loss: 2.9015 2022/08/14 18:50:24 - mmengine - INFO - Epoch(train) [84][1500/3757] lr: 7.6229e-02 eta: 3 days, 0:01:13 time: 0.3981 data_time: 0.0146 memory: 13431 grad_norm: 2.4693 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1212 loss: 3.1212 2022/08/14 18:51:04 - mmengine - INFO - Epoch(train) [84][1600/3757] lr: 7.6229e-02 eta: 3 days, 0:00:34 time: 0.3985 data_time: 0.0146 memory: 13431 grad_norm: 2.4478 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8218 loss: 2.8218 2022/08/14 18:51:44 - mmengine - INFO - Epoch(train) [84][1700/3757] lr: 7.6229e-02 eta: 2 days, 23:59:54 time: 0.3977 data_time: 0.0148 memory: 13431 grad_norm: 2.4981 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0736 loss: 3.0736 2022/08/14 18:52:24 - mmengine - INFO - Epoch(train) [84][1800/3757] lr: 7.6229e-02 eta: 2 days, 23:59:14 time: 0.3978 data_time: 0.0145 memory: 13431 grad_norm: 2.5311 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7869 loss: 2.7869 2022/08/14 18:53:05 - mmengine - INFO - Epoch(train) [84][1900/3757] lr: 7.6229e-02 eta: 2 days, 23:58:34 time: 0.4061 data_time: 0.0158 memory: 13431 grad_norm: 2.5641 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7804 loss: 2.7804 2022/08/14 18:53:45 - mmengine - INFO - Epoch(train) [84][2000/3757] lr: 7.6229e-02 eta: 2 days, 23:57:55 time: 0.4001 data_time: 0.0142 memory: 13431 grad_norm: 2.5144 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9523 loss: 2.9523 2022/08/14 18:54:26 - mmengine - INFO - Epoch(train) [84][2100/3757] lr: 7.6229e-02 eta: 2 days, 23:57:16 time: 0.4097 data_time: 0.0142 memory: 13431 grad_norm: 2.5167 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 3.0464 loss: 3.0464 2022/08/14 18:54:54 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 18:55:06 - mmengine - INFO - Epoch(train) [84][2200/3757] lr: 7.6229e-02 eta: 2 days, 23:56:37 time: 0.4062 data_time: 0.0147 memory: 13431 grad_norm: 2.5116 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0025 loss: 3.0025 2022/08/14 18:55:46 - mmengine - INFO - Epoch(train) [84][2300/3757] lr: 7.6229e-02 eta: 2 days, 23:55:57 time: 0.4024 data_time: 0.0155 memory: 13431 grad_norm: 2.4857 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8690 loss: 2.8690 2022/08/14 18:56:27 - mmengine - INFO - Epoch(train) [84][2400/3757] lr: 7.6229e-02 eta: 2 days, 23:55:17 time: 0.4017 data_time: 0.0157 memory: 13431 grad_norm: 2.4572 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6857 loss: 2.6857 2022/08/14 18:57:07 - mmengine - INFO - Epoch(train) [84][2500/3757] lr: 7.6229e-02 eta: 2 days, 23:54:38 time: 0.4030 data_time: 0.0152 memory: 13431 grad_norm: 2.5667 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1445 loss: 3.1445 2022/08/14 18:57:47 - mmengine - INFO - Epoch(train) [84][2600/3757] lr: 7.6229e-02 eta: 2 days, 23:53:58 time: 0.4086 data_time: 0.0145 memory: 13431 grad_norm: 2.5244 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5596 loss: 2.5596 2022/08/14 18:58:27 - mmengine - INFO - Epoch(train) [84][2700/3757] lr: 7.6229e-02 eta: 2 days, 23:53:19 time: 0.3997 data_time: 0.0159 memory: 13431 grad_norm: 2.5446 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8447 loss: 2.8447 2022/08/14 18:59:08 - mmengine - INFO - Epoch(train) [84][2800/3757] lr: 7.6229e-02 eta: 2 days, 23:52:40 time: 0.4018 data_time: 0.0138 memory: 13431 grad_norm: 2.5196 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0245 loss: 3.0245 2022/08/14 18:59:48 - mmengine - INFO - Epoch(train) [84][2900/3757] lr: 7.6229e-02 eta: 2 days, 23:52:00 time: 0.3988 data_time: 0.0154 memory: 13431 grad_norm: 2.5044 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9110 loss: 2.9110 2022/08/14 19:00:29 - mmengine - INFO - Epoch(train) [84][3000/3757] lr: 7.6229e-02 eta: 2 days, 23:51:21 time: 0.3983 data_time: 0.0159 memory: 13431 grad_norm: 2.4937 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8244 loss: 2.8244 2022/08/14 19:01:09 - mmengine - INFO - Epoch(train) [84][3100/3757] lr: 7.6229e-02 eta: 2 days, 23:50:41 time: 0.4005 data_time: 0.0142 memory: 13431 grad_norm: 2.4405 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9714 loss: 2.9714 2022/08/14 19:01:37 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 19:01:49 - mmengine - INFO - Epoch(train) [84][3200/3757] lr: 7.6229e-02 eta: 2 days, 23:50:01 time: 0.3988 data_time: 0.0147 memory: 13431 grad_norm: 2.5035 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7420 loss: 2.7420 2022/08/14 19:02:29 - mmengine - INFO - Epoch(train) [84][3300/3757] lr: 7.6229e-02 eta: 2 days, 23:49:22 time: 0.4022 data_time: 0.0166 memory: 13431 grad_norm: 2.4966 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.7906 loss: 2.7906 2022/08/14 19:03:10 - mmengine - INFO - Epoch(train) [84][3400/3757] lr: 7.6229e-02 eta: 2 days, 23:48:42 time: 0.3998 data_time: 0.0148 memory: 13431 grad_norm: 2.5240 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9803 loss: 2.9803 2022/08/14 19:03:50 - mmengine - INFO - Epoch(train) [84][3500/3757] lr: 7.6229e-02 eta: 2 days, 23:48:03 time: 0.3973 data_time: 0.0139 memory: 13431 grad_norm: 2.4064 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9713 loss: 2.9713 2022/08/14 19:04:30 - mmengine - INFO - Epoch(train) [84][3600/3757] lr: 7.6229e-02 eta: 2 days, 23:47:24 time: 0.3993 data_time: 0.0148 memory: 13431 grad_norm: 2.5792 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9561 loss: 2.9561 2022/08/14 19:05:11 - mmengine - INFO - Epoch(train) [84][3700/3757] lr: 7.6229e-02 eta: 2 days, 23:46:45 time: 0.4032 data_time: 0.0154 memory: 13431 grad_norm: 2.5551 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5398 loss: 2.5398 2022/08/14 19:05:34 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 19:05:34 - mmengine - INFO - Epoch(train) [84][3757/3757] lr: 7.6229e-02 eta: 2 days, 23:46:29 time: 0.3865 data_time: 0.0147 memory: 13431 grad_norm: 2.5241 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.9489 loss: 2.9489 2022/08/14 19:05:34 - mmengine - INFO - Saving checkpoint at 84 epochs 2022/08/14 19:06:20 - mmengine - INFO - Epoch(train) [85][100/3757] lr: 7.5705e-02 eta: 2 days, 23:45:31 time: 0.3965 data_time: 0.0139 memory: 13431 grad_norm: 2.5194 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9633 loss: 2.9633 2022/08/14 19:07:00 - mmengine - INFO - Epoch(train) [85][200/3757] lr: 7.5705e-02 eta: 2 days, 23:44:51 time: 0.3984 data_time: 0.0141 memory: 13431 grad_norm: 2.5537 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7790 loss: 2.7790 2022/08/14 19:07:41 - mmengine - INFO - Epoch(train) [85][300/3757] lr: 7.5705e-02 eta: 2 days, 23:44:12 time: 0.3975 data_time: 0.0139 memory: 13431 grad_norm: 2.5700 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.9958 loss: 2.9958 2022/08/14 19:08:21 - mmengine - INFO - Epoch(train) [85][400/3757] lr: 7.5705e-02 eta: 2 days, 23:43:33 time: 0.4064 data_time: 0.0163 memory: 13431 grad_norm: 2.4662 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7380 loss: 2.7380 2022/08/14 19:08:26 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 19:09:02 - mmengine - INFO - Epoch(train) [85][500/3757] lr: 7.5705e-02 eta: 2 days, 23:42:53 time: 0.3977 data_time: 0.0140 memory: 13431 grad_norm: 2.5627 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7641 loss: 2.7641 2022/08/14 19:09:42 - mmengine - INFO - Epoch(train) [85][600/3757] lr: 7.5705e-02 eta: 2 days, 23:42:13 time: 0.3992 data_time: 0.0140 memory: 13431 grad_norm: 2.5127 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8900 loss: 2.8900 2022/08/14 19:10:22 - mmengine - INFO - Epoch(train) [85][700/3757] lr: 7.5705e-02 eta: 2 days, 23:41:34 time: 0.3995 data_time: 0.0153 memory: 13431 grad_norm: 2.5946 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9994 loss: 2.9994 2022/08/14 19:11:02 - mmengine - INFO - Epoch(train) [85][800/3757] lr: 7.5705e-02 eta: 2 days, 23:40:54 time: 0.3989 data_time: 0.0144 memory: 13431 grad_norm: 2.5616 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7563 loss: 2.7563 2022/08/14 19:11:43 - mmengine - INFO - Epoch(train) [85][900/3757] lr: 7.5705e-02 eta: 2 days, 23:40:14 time: 0.3980 data_time: 0.0139 memory: 13431 grad_norm: 2.5122 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8937 loss: 2.8937 2022/08/14 19:12:23 - mmengine - INFO - Epoch(train) [85][1000/3757] lr: 7.5705e-02 eta: 2 days, 23:39:35 time: 0.4023 data_time: 0.0147 memory: 13431 grad_norm: 2.5345 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5855 loss: 2.5855 2022/08/14 19:13:03 - mmengine - INFO - Epoch(train) [85][1100/3757] lr: 7.5705e-02 eta: 2 days, 23:38:56 time: 0.4001 data_time: 0.0144 memory: 13431 grad_norm: 2.5089 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7407 loss: 2.7407 2022/08/14 19:13:44 - mmengine - INFO - Epoch(train) [85][1200/3757] lr: 7.5705e-02 eta: 2 days, 23:38:16 time: 0.3988 data_time: 0.0152 memory: 13431 grad_norm: 2.4978 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8555 loss: 2.8555 2022/08/14 19:14:24 - mmengine - INFO - Epoch(train) [85][1300/3757] lr: 7.5705e-02 eta: 2 days, 23:37:37 time: 0.3989 data_time: 0.0150 memory: 13431 grad_norm: 2.5620 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5953 loss: 2.5953 2022/08/14 19:15:04 - mmengine - INFO - Epoch(train) [85][1400/3757] lr: 7.5705e-02 eta: 2 days, 23:36:57 time: 0.4039 data_time: 0.0172 memory: 13431 grad_norm: 2.4965 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7778 loss: 2.7778 2022/08/14 19:15:09 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 19:15:45 - mmengine - INFO - Epoch(train) [85][1500/3757] lr: 7.5705e-02 eta: 2 days, 23:36:17 time: 0.4001 data_time: 0.0145 memory: 13431 grad_norm: 2.4940 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9760 loss: 2.9760 2022/08/14 19:16:25 - mmengine - INFO - Epoch(train) [85][1600/3757] lr: 7.5705e-02 eta: 2 days, 23:35:37 time: 0.3994 data_time: 0.0145 memory: 13431 grad_norm: 2.5512 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2152 loss: 3.2152 2022/08/14 19:17:05 - mmengine - INFO - Epoch(train) [85][1700/3757] lr: 7.5705e-02 eta: 2 days, 23:34:58 time: 0.3997 data_time: 0.0147 memory: 13431 grad_norm: 2.4468 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7776 loss: 2.7776 2022/08/14 19:17:46 - mmengine - INFO - Epoch(train) [85][1800/3757] lr: 7.5705e-02 eta: 2 days, 23:34:19 time: 0.4010 data_time: 0.0150 memory: 13431 grad_norm: 2.5860 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.8479 loss: 2.8479 2022/08/14 19:18:26 - mmengine - INFO - Epoch(train) [85][1900/3757] lr: 7.5705e-02 eta: 2 days, 23:33:40 time: 0.4013 data_time: 0.0142 memory: 13431 grad_norm: 2.5192 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1360 loss: 3.1360 2022/08/14 19:19:06 - mmengine - INFO - Epoch(train) [85][2000/3757] lr: 7.5705e-02 eta: 2 days, 23:33:00 time: 0.4007 data_time: 0.0136 memory: 13431 grad_norm: 2.4826 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5750 loss: 2.5750 2022/08/14 19:19:46 - mmengine - INFO - Epoch(train) [85][2100/3757] lr: 7.5705e-02 eta: 2 days, 23:32:20 time: 0.4009 data_time: 0.0145 memory: 13431 grad_norm: 2.5420 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8300 loss: 2.8300 2022/08/14 19:20:27 - mmengine - INFO - Epoch(train) [85][2200/3757] lr: 7.5705e-02 eta: 2 days, 23:31:41 time: 0.4028 data_time: 0.0151 memory: 13431 grad_norm: 2.5085 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0703 loss: 3.0703 2022/08/14 19:21:07 - mmengine - INFO - Epoch(train) [85][2300/3757] lr: 7.5705e-02 eta: 2 days, 23:31:01 time: 0.4026 data_time: 0.0155 memory: 13431 grad_norm: 2.5327 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.6988 loss: 2.6988 2022/08/14 19:21:47 - mmengine - INFO - Epoch(train) [85][2400/3757] lr: 7.5705e-02 eta: 2 days, 23:30:22 time: 0.4009 data_time: 0.0141 memory: 13431 grad_norm: 2.6057 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6629 loss: 2.6629 2022/08/14 19:21:52 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 19:22:28 - mmengine - INFO - Epoch(train) [85][2500/3757] lr: 7.5705e-02 eta: 2 days, 23:29:42 time: 0.4005 data_time: 0.0162 memory: 13431 grad_norm: 2.5947 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5760 loss: 2.5760 2022/08/14 19:23:08 - mmengine - INFO - Epoch(train) [85][2600/3757] lr: 7.5705e-02 eta: 2 days, 23:29:03 time: 0.4001 data_time: 0.0144 memory: 13431 grad_norm: 2.6145 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7591 loss: 2.7591 2022/08/14 19:23:48 - mmengine - INFO - Epoch(train) [85][2700/3757] lr: 7.5705e-02 eta: 2 days, 23:28:23 time: 0.3994 data_time: 0.0148 memory: 13431 grad_norm: 2.6445 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6900 loss: 2.6900 2022/08/14 19:24:29 - mmengine - INFO - Epoch(train) [85][2800/3757] lr: 7.5705e-02 eta: 2 days, 23:27:43 time: 0.3974 data_time: 0.0140 memory: 13431 grad_norm: 2.6409 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0617 loss: 3.0617 2022/08/14 19:25:09 - mmengine - INFO - Epoch(train) [85][2900/3757] lr: 7.5705e-02 eta: 2 days, 23:27:03 time: 0.3975 data_time: 0.0143 memory: 13431 grad_norm: 2.5932 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.0432 loss: 3.0432 2022/08/14 19:25:49 - mmengine - INFO - Epoch(train) [85][3000/3757] lr: 7.5705e-02 eta: 2 days, 23:26:24 time: 0.4072 data_time: 0.0144 memory: 13431 grad_norm: 2.4862 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7897 loss: 2.7897 2022/08/14 19:26:30 - mmengine - INFO - Epoch(train) [85][3100/3757] lr: 7.5705e-02 eta: 2 days, 23:25:45 time: 0.4008 data_time: 0.0177 memory: 13431 grad_norm: 2.5848 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.1097 loss: 3.1097 2022/08/14 19:27:10 - mmengine - INFO - Epoch(train) [85][3200/3757] lr: 7.5705e-02 eta: 2 days, 23:25:05 time: 0.4020 data_time: 0.0150 memory: 13431 grad_norm: 2.5271 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8501 loss: 2.8501 2022/08/14 19:27:50 - mmengine - INFO - Epoch(train) [85][3300/3757] lr: 7.5705e-02 eta: 2 days, 23:24:26 time: 0.3993 data_time: 0.0148 memory: 13431 grad_norm: 2.5924 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.8210 loss: 2.8210 2022/08/14 19:28:31 - mmengine - INFO - Epoch(train) [85][3400/3757] lr: 7.5705e-02 eta: 2 days, 23:23:47 time: 0.3987 data_time: 0.0145 memory: 13431 grad_norm: 2.5554 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9605 loss: 2.9605 2022/08/14 19:28:36 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 19:29:11 - mmengine - INFO - Epoch(train) [85][3500/3757] lr: 7.5705e-02 eta: 2 days, 23:23:07 time: 0.3990 data_time: 0.0142 memory: 13431 grad_norm: 2.4828 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8745 loss: 2.8745 2022/08/14 19:29:51 - mmengine - INFO - Epoch(train) [85][3600/3757] lr: 7.5705e-02 eta: 2 days, 23:22:27 time: 0.4000 data_time: 0.0145 memory: 13431 grad_norm: 2.5682 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8676 loss: 2.8676 2022/08/14 19:30:31 - mmengine - INFO - Epoch(train) [85][3700/3757] lr: 7.5705e-02 eta: 2 days, 23:21:48 time: 0.4102 data_time: 0.0145 memory: 13431 grad_norm: 2.5323 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7757 loss: 2.7757 2022/08/14 19:30:54 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 19:30:54 - mmengine - INFO - Epoch(train) [85][3757/3757] lr: 7.5705e-02 eta: 2 days, 23:21:32 time: 0.3884 data_time: 0.0151 memory: 13431 grad_norm: 2.5214 top1_acc: 0.2857 top5_acc: 0.2857 loss_cls: 2.7398 loss: 2.7398 2022/08/14 19:31:17 - mmengine - INFO - Epoch(val) [85][100/310] eta: 0:00:44 time: 0.2132 data_time: 0.0834 memory: 1974 2022/08/14 19:31:38 - mmengine - INFO - Epoch(val) [85][200/310] eta: 0:00:22 time: 0.2004 data_time: 0.0723 memory: 1974 2022/08/14 19:31:59 - mmengine - INFO - Epoch(val) [85][300/310] eta: 0:00:02 time: 0.2131 data_time: 0.0816 memory: 1974 2022/08/14 19:32:04 - mmengine - INFO - Epoch(val) [85][310/310] acc/top1: 0.4221 acc/top5: 0.6950 acc/mean1: 0.4220 2022/08/14 19:32:46 - mmengine - INFO - Epoch(train) [86][100/3757] lr: 7.5177e-02 eta: 2 days, 23:20:37 time: 0.4015 data_time: 0.0139 memory: 13431 grad_norm: 2.4738 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7896 loss: 2.7896 2022/08/14 19:33:27 - mmengine - INFO - Epoch(train) [86][200/3757] lr: 7.5177e-02 eta: 2 days, 23:19:57 time: 0.3986 data_time: 0.0146 memory: 13431 grad_norm: 2.5776 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8741 loss: 2.8741 2022/08/14 19:34:07 - mmengine - INFO - Epoch(train) [86][300/3757] lr: 7.5177e-02 eta: 2 days, 23:19:18 time: 0.3994 data_time: 0.0145 memory: 13431 grad_norm: 2.4972 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.7398 loss: 2.7398 2022/08/14 19:34:47 - mmengine - INFO - Epoch(train) [86][400/3757] lr: 7.5177e-02 eta: 2 days, 23:18:38 time: 0.4010 data_time: 0.0172 memory: 13431 grad_norm: 2.5463 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9203 loss: 2.9203 2022/08/14 19:35:27 - mmengine - INFO - Epoch(train) [86][500/3757] lr: 7.5177e-02 eta: 2 days, 23:17:58 time: 0.3991 data_time: 0.0146 memory: 13431 grad_norm: 2.5247 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5522 loss: 2.5522 2022/08/14 19:36:08 - mmengine - INFO - Epoch(train) [86][600/3757] lr: 7.5177e-02 eta: 2 days, 23:17:19 time: 0.4077 data_time: 0.0143 memory: 13431 grad_norm: 2.4972 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8391 loss: 2.8391 2022/08/14 19:36:30 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 19:36:48 - mmengine - INFO - Epoch(train) [86][700/3757] lr: 7.5177e-02 eta: 2 days, 23:16:40 time: 0.3998 data_time: 0.0155 memory: 13431 grad_norm: 2.5820 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8652 loss: 2.8652 2022/08/14 19:37:28 - mmengine - INFO - Epoch(train) [86][800/3757] lr: 7.5177e-02 eta: 2 days, 23:16:00 time: 0.4051 data_time: 0.0146 memory: 13431 grad_norm: 2.4568 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8753 loss: 2.8753 2022/08/14 19:38:09 - mmengine - INFO - Epoch(train) [86][900/3757] lr: 7.5177e-02 eta: 2 days, 23:15:21 time: 0.4004 data_time: 0.0153 memory: 13431 grad_norm: 2.5823 top1_acc: 0.0000 top5_acc: 0.7500 loss_cls: 3.0771 loss: 3.0771 2022/08/14 19:38:49 - mmengine - INFO - Epoch(train) [86][1000/3757] lr: 7.5177e-02 eta: 2 days, 23:14:41 time: 0.4015 data_time: 0.0150 memory: 13431 grad_norm: 2.6141 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9573 loss: 2.9573 2022/08/14 19:39:29 - mmengine - INFO - Epoch(train) [86][1100/3757] lr: 7.5177e-02 eta: 2 days, 23:14:01 time: 0.3992 data_time: 0.0146 memory: 13431 grad_norm: 2.5030 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9612 loss: 2.9612 2022/08/14 19:40:09 - mmengine - INFO - Epoch(train) [86][1200/3757] lr: 7.5177e-02 eta: 2 days, 23:13:21 time: 0.3983 data_time: 0.0145 memory: 13431 grad_norm: 2.6070 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9150 loss: 2.9150 2022/08/14 19:40:50 - mmengine - INFO - Epoch(train) [86][1300/3757] lr: 7.5177e-02 eta: 2 days, 23:12:42 time: 0.4066 data_time: 0.0150 memory: 13431 grad_norm: 2.5575 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9080 loss: 2.9080 2022/08/14 19:41:30 - mmengine - INFO - Epoch(train) [86][1400/3757] lr: 7.5177e-02 eta: 2 days, 23:12:02 time: 0.3998 data_time: 0.0147 memory: 13431 grad_norm: 2.5313 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7550 loss: 2.7550 2022/08/14 19:42:10 - mmengine - INFO - Epoch(train) [86][1500/3757] lr: 7.5177e-02 eta: 2 days, 23:11:23 time: 0.4054 data_time: 0.0149 memory: 13431 grad_norm: 2.5183 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.9163 loss: 2.9163 2022/08/14 19:42:51 - mmengine - INFO - Epoch(train) [86][1600/3757] lr: 7.5177e-02 eta: 2 days, 23:10:44 time: 0.4035 data_time: 0.0173 memory: 13431 grad_norm: 2.5602 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9109 loss: 2.9109 2022/08/14 19:43:13 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 19:43:31 - mmengine - INFO - Epoch(train) [86][1700/3757] lr: 7.5177e-02 eta: 2 days, 23:10:04 time: 0.4036 data_time: 0.0158 memory: 13431 grad_norm: 2.4866 top1_acc: 0.0000 top5_acc: 0.7500 loss_cls: 2.8259 loss: 2.8259 2022/08/14 19:44:11 - mmengine - INFO - Epoch(train) [86][1800/3757] lr: 7.5177e-02 eta: 2 days, 23:09:25 time: 0.4011 data_time: 0.0159 memory: 13431 grad_norm: 2.5539 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6221 loss: 2.6221 2022/08/14 19:44:52 - mmengine - INFO - Epoch(train) [86][1900/3757] lr: 7.5177e-02 eta: 2 days, 23:08:45 time: 0.4011 data_time: 0.0154 memory: 13431 grad_norm: 2.5949 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8055 loss: 2.8055 2022/08/14 19:45:32 - mmengine - INFO - Epoch(train) [86][2000/3757] lr: 7.5177e-02 eta: 2 days, 23:08:06 time: 0.4062 data_time: 0.0147 memory: 13431 grad_norm: 2.5846 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6276 loss: 2.6276 2022/08/14 19:46:12 - mmengine - INFO - Epoch(train) [86][2100/3757] lr: 7.5177e-02 eta: 2 days, 23:07:26 time: 0.4048 data_time: 0.0146 memory: 13431 grad_norm: 2.5191 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7820 loss: 2.7820 2022/08/14 19:46:53 - mmengine - INFO - Epoch(train) [86][2200/3757] lr: 7.5177e-02 eta: 2 days, 23:06:47 time: 0.4009 data_time: 0.0153 memory: 13431 grad_norm: 2.5965 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7864 loss: 2.7864 2022/08/14 19:47:33 - mmengine - INFO - Epoch(train) [86][2300/3757] lr: 7.5177e-02 eta: 2 days, 23:06:08 time: 0.3978 data_time: 0.0151 memory: 13431 grad_norm: 2.5059 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8005 loss: 2.8005 2022/08/14 19:48:13 - mmengine - INFO - Epoch(train) [86][2400/3757] lr: 7.5177e-02 eta: 2 days, 23:05:28 time: 0.4004 data_time: 0.0145 memory: 13431 grad_norm: 2.5265 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.0192 loss: 3.0192 2022/08/14 19:48:54 - mmengine - INFO - Epoch(train) [86][2500/3757] lr: 7.5177e-02 eta: 2 days, 23:04:48 time: 0.3982 data_time: 0.0145 memory: 13431 grad_norm: 2.4679 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8946 loss: 2.8946 2022/08/14 19:49:34 - mmengine - INFO - Epoch(train) [86][2600/3757] lr: 7.5177e-02 eta: 2 days, 23:04:09 time: 0.3987 data_time: 0.0142 memory: 13431 grad_norm: 2.4652 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6926 loss: 2.6926 2022/08/14 19:49:56 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 19:50:14 - mmengine - INFO - Epoch(train) [86][2700/3757] lr: 7.5177e-02 eta: 2 days, 23:03:29 time: 0.4065 data_time: 0.0151 memory: 13431 grad_norm: 2.5968 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1843 loss: 3.1843 2022/08/14 19:50:55 - mmengine - INFO - Epoch(train) [86][2800/3757] lr: 7.5177e-02 eta: 2 days, 23:02:50 time: 0.3989 data_time: 0.0145 memory: 13431 grad_norm: 2.5246 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0660 loss: 3.0660 2022/08/14 19:51:35 - mmengine - INFO - Epoch(train) [86][2900/3757] lr: 7.5177e-02 eta: 2 days, 23:02:11 time: 0.3971 data_time: 0.0143 memory: 13431 grad_norm: 2.4445 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.0143 loss: 3.0143 2022/08/14 19:52:16 - mmengine - INFO - Epoch(train) [86][3000/3757] lr: 7.5177e-02 eta: 2 days, 23:01:31 time: 0.4044 data_time: 0.0146 memory: 13431 grad_norm: 2.4952 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7902 loss: 2.7902 2022/08/14 19:52:56 - mmengine - INFO - Epoch(train) [86][3100/3757] lr: 7.5177e-02 eta: 2 days, 23:00:51 time: 0.4005 data_time: 0.0150 memory: 13431 grad_norm: 2.4870 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8739 loss: 2.8739 2022/08/14 19:53:36 - mmengine - INFO - Epoch(train) [86][3200/3757] lr: 7.5177e-02 eta: 2 days, 23:00:12 time: 0.4181 data_time: 0.0149 memory: 13431 grad_norm: 2.6160 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6122 loss: 2.6122 2022/08/14 19:54:17 - mmengine - INFO - Epoch(train) [86][3300/3757] lr: 7.5177e-02 eta: 2 days, 22:59:33 time: 0.4026 data_time: 0.0151 memory: 13431 grad_norm: 2.5216 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9888 loss: 2.9888 2022/08/14 19:54:57 - mmengine - INFO - Epoch(train) [86][3400/3757] lr: 7.5177e-02 eta: 2 days, 22:58:53 time: 0.4043 data_time: 0.0151 memory: 13431 grad_norm: 2.5552 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7060 loss: 2.7060 2022/08/14 19:55:37 - mmengine - INFO - Epoch(train) [86][3500/3757] lr: 7.5177e-02 eta: 2 days, 22:58:14 time: 0.3989 data_time: 0.0141 memory: 13431 grad_norm: 2.5451 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9387 loss: 2.9387 2022/08/14 19:56:17 - mmengine - INFO - Epoch(train) [86][3600/3757] lr: 7.5177e-02 eta: 2 days, 22:57:34 time: 0.3999 data_time: 0.0155 memory: 13431 grad_norm: 2.5390 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.9231 loss: 2.9231 2022/08/14 19:56:40 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 19:56:58 - mmengine - INFO - Epoch(train) [86][3700/3757] lr: 7.5177e-02 eta: 2 days, 22:56:55 time: 0.4032 data_time: 0.0169 memory: 13431 grad_norm: 2.5122 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7944 loss: 2.7944 2022/08/14 19:57:21 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 19:57:21 - mmengine - INFO - Epoch(train) [86][3757/3757] lr: 7.5177e-02 eta: 2 days, 22:56:40 time: 0.3883 data_time: 0.0137 memory: 13431 grad_norm: 2.5258 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 2.9849 loss: 2.9849 2022/08/14 19:58:04 - mmengine - INFO - Epoch(train) [87][100/3757] lr: 7.4645e-02 eta: 2 days, 22:55:44 time: 0.3985 data_time: 0.0148 memory: 13431 grad_norm: 2.5032 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7370 loss: 2.7370 2022/08/14 19:58:44 - mmengine - INFO - Epoch(train) [87][200/3757] lr: 7.4645e-02 eta: 2 days, 22:55:04 time: 0.3982 data_time: 0.0150 memory: 13431 grad_norm: 2.5586 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.6178 loss: 2.6178 2022/08/14 19:59:24 - mmengine - INFO - Epoch(train) [87][300/3757] lr: 7.4645e-02 eta: 2 days, 22:54:25 time: 0.4065 data_time: 0.0142 memory: 13431 grad_norm: 2.5028 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7035 loss: 2.7035 2022/08/14 20:00:05 - mmengine - INFO - Epoch(train) [87][400/3757] lr: 7.4645e-02 eta: 2 days, 22:53:46 time: 0.3980 data_time: 0.0140 memory: 13431 grad_norm: 2.5614 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.7281 loss: 2.7281 2022/08/14 20:00:45 - mmengine - INFO - Epoch(train) [87][500/3757] lr: 7.4645e-02 eta: 2 days, 22:53:06 time: 0.3991 data_time: 0.0140 memory: 13431 grad_norm: 2.5253 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9676 loss: 2.9676 2022/08/14 20:01:25 - mmengine - INFO - Epoch(train) [87][600/3757] lr: 7.4645e-02 eta: 2 days, 22:52:27 time: 0.3976 data_time: 0.0151 memory: 13431 grad_norm: 2.5170 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6714 loss: 2.6714 2022/08/14 20:02:05 - mmengine - INFO - Epoch(train) [87][700/3757] lr: 7.4645e-02 eta: 2 days, 22:51:47 time: 0.4033 data_time: 0.0142 memory: 13431 grad_norm: 2.6370 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1302 loss: 3.1302 2022/08/14 20:02:46 - mmengine - INFO - Epoch(train) [87][800/3757] lr: 7.4645e-02 eta: 2 days, 22:51:07 time: 0.3980 data_time: 0.0147 memory: 13431 grad_norm: 2.5749 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3074 loss: 3.3074 2022/08/14 20:03:25 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 20:03:26 - mmengine - INFO - Epoch(train) [87][900/3757] lr: 7.4645e-02 eta: 2 days, 22:50:28 time: 0.3990 data_time: 0.0149 memory: 13431 grad_norm: 2.5443 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8103 loss: 2.8103 2022/08/14 20:04:06 - mmengine - INFO - Epoch(train) [87][1000/3757] lr: 7.4645e-02 eta: 2 days, 22:49:49 time: 0.4067 data_time: 0.0143 memory: 13431 grad_norm: 2.6761 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0049 loss: 3.0049 2022/08/14 20:04:47 - mmengine - INFO - Epoch(train) [87][1100/3757] lr: 7.4645e-02 eta: 2 days, 22:49:09 time: 0.4005 data_time: 0.0145 memory: 13431 grad_norm: 2.5712 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0105 loss: 3.0105 2022/08/14 20:05:27 - mmengine - INFO - Epoch(train) [87][1200/3757] lr: 7.4645e-02 eta: 2 days, 22:48:30 time: 0.4040 data_time: 0.0150 memory: 13431 grad_norm: 2.5671 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 3.0886 loss: 3.0886 2022/08/14 20:06:08 - mmengine - INFO - Epoch(train) [87][1300/3757] lr: 7.4645e-02 eta: 2 days, 22:47:51 time: 0.4007 data_time: 0.0146 memory: 13431 grad_norm: 2.5036 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9021 loss: 2.9021 2022/08/14 20:06:48 - mmengine - INFO - Epoch(train) [87][1400/3757] lr: 7.4645e-02 eta: 2 days, 22:47:11 time: 0.4003 data_time: 0.0153 memory: 13431 grad_norm: 2.5960 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8863 loss: 2.8863 2022/08/14 20:07:28 - mmengine - INFO - Epoch(train) [87][1500/3757] lr: 7.4645e-02 eta: 2 days, 22:46:31 time: 0.4033 data_time: 0.0146 memory: 13431 grad_norm: 2.5770 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8416 loss: 2.8416 2022/08/14 20:08:09 - mmengine - INFO - Epoch(train) [87][1600/3757] lr: 7.4645e-02 eta: 2 days, 22:45:52 time: 0.4073 data_time: 0.0155 memory: 13431 grad_norm: 2.5831 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9346 loss: 2.9346 2022/08/14 20:08:49 - mmengine - INFO - Epoch(train) [87][1700/3757] lr: 7.4645e-02 eta: 2 days, 22:45:12 time: 0.4098 data_time: 0.0147 memory: 13431 grad_norm: 2.5624 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7682 loss: 2.7682 2022/08/14 20:09:29 - mmengine - INFO - Epoch(train) [87][1800/3757] lr: 7.4645e-02 eta: 2 days, 22:44:33 time: 0.4053 data_time: 0.0161 memory: 13431 grad_norm: 2.5109 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4323 loss: 2.4323 2022/08/14 20:10:09 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 20:10:10 - mmengine - INFO - Epoch(train) [87][1900/3757] lr: 7.4645e-02 eta: 2 days, 22:43:54 time: 0.4028 data_time: 0.0146 memory: 13431 grad_norm: 2.5270 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0369 loss: 3.0369 2022/08/14 20:10:50 - mmengine - INFO - Epoch(train) [87][2000/3757] lr: 7.4645e-02 eta: 2 days, 22:43:14 time: 0.3993 data_time: 0.0140 memory: 13431 grad_norm: 2.5501 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7962 loss: 2.7962 2022/08/14 20:11:30 - mmengine - INFO - Epoch(train) [87][2100/3757] lr: 7.4645e-02 eta: 2 days, 22:42:35 time: 0.4015 data_time: 0.0153 memory: 13431 grad_norm: 2.5899 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1484 loss: 3.1484 2022/08/14 20:12:11 - mmengine - INFO - Epoch(train) [87][2200/3757] lr: 7.4645e-02 eta: 2 days, 22:41:55 time: 0.4021 data_time: 0.0161 memory: 13431 grad_norm: 2.6310 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6355 loss: 2.6355 2022/08/14 20:12:51 - mmengine - INFO - Epoch(train) [87][2300/3757] lr: 7.4645e-02 eta: 2 days, 22:41:15 time: 0.4010 data_time: 0.0154 memory: 13431 grad_norm: 2.5659 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.7483 loss: 2.7483 2022/08/14 20:13:31 - mmengine - INFO - Epoch(train) [87][2400/3757] lr: 7.4645e-02 eta: 2 days, 22:40:35 time: 0.4084 data_time: 0.0141 memory: 13431 grad_norm: 2.5431 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6916 loss: 2.6916 2022/08/14 20:14:11 - mmengine - INFO - Epoch(train) [87][2500/3757] lr: 7.4645e-02 eta: 2 days, 22:39:56 time: 0.4004 data_time: 0.0145 memory: 13431 grad_norm: 2.5843 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9937 loss: 2.9937 2022/08/14 20:14:52 - mmengine - INFO - Epoch(train) [87][2600/3757] lr: 7.4645e-02 eta: 2 days, 22:39:16 time: 0.3994 data_time: 0.0144 memory: 13431 grad_norm: 2.5684 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6284 loss: 2.6284 2022/08/14 20:15:32 - mmengine - INFO - Epoch(train) [87][2700/3757] lr: 7.4645e-02 eta: 2 days, 22:38:37 time: 0.3992 data_time: 0.0144 memory: 13431 grad_norm: 2.5672 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5556 loss: 2.5556 2022/08/14 20:16:12 - mmengine - INFO - Epoch(train) [87][2800/3757] lr: 7.4645e-02 eta: 2 days, 22:37:57 time: 0.3988 data_time: 0.0144 memory: 13431 grad_norm: 2.5665 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5656 loss: 2.5656 2022/08/14 20:16:52 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 20:16:52 - mmengine - INFO - Epoch(train) [87][2900/3757] lr: 7.4645e-02 eta: 2 days, 22:37:17 time: 0.3990 data_time: 0.0157 memory: 13431 grad_norm: 2.4975 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6735 loss: 2.6735 2022/08/14 20:17:33 - mmengine - INFO - Epoch(train) [87][3000/3757] lr: 7.4645e-02 eta: 2 days, 22:36:38 time: 0.4018 data_time: 0.0152 memory: 13431 grad_norm: 2.5153 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.8128 loss: 2.8128 2022/08/14 20:18:13 - mmengine - INFO - Epoch(train) [87][3100/3757] lr: 7.4645e-02 eta: 2 days, 22:35:58 time: 0.4012 data_time: 0.0148 memory: 13431 grad_norm: 2.5488 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8739 loss: 2.8739 2022/08/14 20:18:53 - mmengine - INFO - Epoch(train) [87][3200/3757] lr: 7.4645e-02 eta: 2 days, 22:35:18 time: 0.3996 data_time: 0.0156 memory: 13431 grad_norm: 2.5388 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.8209 loss: 2.8209 2022/08/14 20:19:34 - mmengine - INFO - Epoch(train) [87][3300/3757] lr: 7.4645e-02 eta: 2 days, 22:34:39 time: 0.4008 data_time: 0.0143 memory: 13431 grad_norm: 2.5945 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9012 loss: 2.9012 2022/08/14 20:20:14 - mmengine - INFO - Epoch(train) [87][3400/3757] lr: 7.4645e-02 eta: 2 days, 22:34:00 time: 0.4017 data_time: 0.0150 memory: 13431 grad_norm: 2.5785 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9805 loss: 2.9805 2022/08/14 20:20:54 - mmengine - INFO - Epoch(train) [87][3500/3757] lr: 7.4645e-02 eta: 2 days, 22:33:20 time: 0.4018 data_time: 0.0147 memory: 13431 grad_norm: 2.5142 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7094 loss: 2.7094 2022/08/14 20:21:35 - mmengine - INFO - Epoch(train) [87][3600/3757] lr: 7.4645e-02 eta: 2 days, 22:32:41 time: 0.4090 data_time: 0.0153 memory: 13431 grad_norm: 2.5418 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0675 loss: 3.0675 2022/08/14 20:22:15 - mmengine - INFO - Epoch(train) [87][3700/3757] lr: 7.4645e-02 eta: 2 days, 22:32:01 time: 0.4010 data_time: 0.0155 memory: 13431 grad_norm: 2.4563 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7966 loss: 2.7966 2022/08/14 20:22:38 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 20:22:38 - mmengine - INFO - Epoch(train) [87][3757/3757] lr: 7.4645e-02 eta: 2 days, 22:31:45 time: 0.3878 data_time: 0.0132 memory: 13431 grad_norm: 2.5659 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 3.3242 loss: 3.3242 2022/08/14 20:23:20 - mmengine - INFO - Epoch(train) [88][100/3757] lr: 7.4109e-02 eta: 2 days, 22:30:50 time: 0.4023 data_time: 0.0148 memory: 13431 grad_norm: 2.6367 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.9827 loss: 2.9827 2022/08/14 20:23:37 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 20:24:01 - mmengine - INFO - Epoch(train) [88][200/3757] lr: 7.4109e-02 eta: 2 days, 22:30:10 time: 0.4065 data_time: 0.0147 memory: 13431 grad_norm: 2.5789 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8632 loss: 2.8632 2022/08/14 20:24:41 - mmengine - INFO - Epoch(train) [88][300/3757] lr: 7.4109e-02 eta: 2 days, 22:29:31 time: 0.4057 data_time: 0.0143 memory: 13431 grad_norm: 2.5727 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6862 loss: 2.6862 2022/08/14 20:25:21 - mmengine - INFO - Epoch(train) [88][400/3757] lr: 7.4109e-02 eta: 2 days, 22:28:51 time: 0.3998 data_time: 0.0156 memory: 13431 grad_norm: 2.5100 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6289 loss: 2.6289 2022/08/14 20:26:01 - mmengine - INFO - Epoch(train) [88][500/3757] lr: 7.4109e-02 eta: 2 days, 22:28:11 time: 0.4008 data_time: 0.0149 memory: 13431 grad_norm: 2.5420 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8369 loss: 2.8369 2022/08/14 20:26:42 - mmengine - INFO - Epoch(train) [88][600/3757] lr: 7.4109e-02 eta: 2 days, 22:27:32 time: 0.4012 data_time: 0.0169 memory: 13431 grad_norm: 2.5571 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8338 loss: 2.8338 2022/08/14 20:27:22 - mmengine - INFO - Epoch(train) [88][700/3757] lr: 7.4109e-02 eta: 2 days, 22:26:52 time: 0.4013 data_time: 0.0144 memory: 13431 grad_norm: 2.5546 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6390 loss: 2.6390 2022/08/14 20:28:02 - mmengine - INFO - Epoch(train) [88][800/3757] lr: 7.4109e-02 eta: 2 days, 22:26:12 time: 0.4024 data_time: 0.0159 memory: 13431 grad_norm: 2.5560 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6634 loss: 2.6634 2022/08/14 20:28:42 - mmengine - INFO - Epoch(train) [88][900/3757] lr: 7.4109e-02 eta: 2 days, 22:25:33 time: 0.4062 data_time: 0.0148 memory: 13431 grad_norm: 2.5514 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9026 loss: 2.9026 2022/08/14 20:29:23 - mmengine - INFO - Epoch(train) [88][1000/3757] lr: 7.4109e-02 eta: 2 days, 22:24:53 time: 0.4031 data_time: 0.0150 memory: 13431 grad_norm: 2.6579 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9056 loss: 2.9056 2022/08/14 20:30:03 - mmengine - INFO - Epoch(train) [88][1100/3757] lr: 7.4109e-02 eta: 2 days, 22:24:14 time: 0.4045 data_time: 0.0160 memory: 13431 grad_norm: 2.6196 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7899 loss: 2.7899 2022/08/14 20:30:19 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 20:30:43 - mmengine - INFO - Epoch(train) [88][1200/3757] lr: 7.4109e-02 eta: 2 days, 22:23:34 time: 0.4004 data_time: 0.0163 memory: 13431 grad_norm: 2.6493 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9504 loss: 2.9504 2022/08/14 20:31:24 - mmengine - INFO - Epoch(train) [88][1300/3757] lr: 7.4109e-02 eta: 2 days, 22:22:54 time: 0.4067 data_time: 0.0144 memory: 13431 grad_norm: 2.5747 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7352 loss: 2.7352 2022/08/14 20:32:04 - mmengine - INFO - Epoch(train) [88][1400/3757] lr: 7.4109e-02 eta: 2 days, 22:22:15 time: 0.4000 data_time: 0.0155 memory: 13431 grad_norm: 2.4526 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8515 loss: 2.8515 2022/08/14 20:32:44 - mmengine - INFO - Epoch(train) [88][1500/3757] lr: 7.4109e-02 eta: 2 days, 22:21:36 time: 0.4063 data_time: 0.0146 memory: 13431 grad_norm: 2.4495 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8266 loss: 2.8266 2022/08/14 20:33:25 - mmengine - INFO - Epoch(train) [88][1600/3757] lr: 7.4109e-02 eta: 2 days, 22:20:56 time: 0.4018 data_time: 0.0151 memory: 13431 grad_norm: 2.5242 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7739 loss: 2.7739 2022/08/14 20:34:05 - mmengine - INFO - Epoch(train) [88][1700/3757] lr: 7.4109e-02 eta: 2 days, 22:20:17 time: 0.4052 data_time: 0.0146 memory: 13431 grad_norm: 2.4783 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7287 loss: 2.7287 2022/08/14 20:34:46 - mmengine - INFO - Epoch(train) [88][1800/3757] lr: 7.4109e-02 eta: 2 days, 22:19:38 time: 0.4027 data_time: 0.0151 memory: 13431 grad_norm: 2.5543 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5525 loss: 2.5525 2022/08/14 20:35:26 - mmengine - INFO - Epoch(train) [88][1900/3757] lr: 7.4109e-02 eta: 2 days, 22:18:58 time: 0.4051 data_time: 0.0148 memory: 13431 grad_norm: 2.4956 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8781 loss: 2.8781 2022/08/14 20:36:06 - mmengine - INFO - Epoch(train) [88][2000/3757] lr: 7.4109e-02 eta: 2 days, 22:18:19 time: 0.4031 data_time: 0.0170 memory: 13431 grad_norm: 2.4648 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7963 loss: 2.7963 2022/08/14 20:36:47 - mmengine - INFO - Epoch(train) [88][2100/3757] lr: 7.4109e-02 eta: 2 days, 22:17:39 time: 0.4013 data_time: 0.0151 memory: 13431 grad_norm: 2.5495 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9445 loss: 2.9445 2022/08/14 20:37:03 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 20:37:27 - mmengine - INFO - Epoch(train) [88][2200/3757] lr: 7.4109e-02 eta: 2 days, 22:17:00 time: 0.4008 data_time: 0.0143 memory: 13431 grad_norm: 2.6171 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.8949 loss: 2.8949 2022/08/14 20:38:08 - mmengine - INFO - Epoch(train) [88][2300/3757] lr: 7.4109e-02 eta: 2 days, 22:16:21 time: 0.4046 data_time: 0.0154 memory: 13431 grad_norm: 2.5411 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7905 loss: 2.7905 2022/08/14 20:38:48 - mmengine - INFO - Epoch(train) [88][2400/3757] lr: 7.4109e-02 eta: 2 days, 22:15:41 time: 0.4006 data_time: 0.0144 memory: 13431 grad_norm: 2.6194 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1980 loss: 3.1980 2022/08/14 20:39:28 - mmengine - INFO - Epoch(train) [88][2500/3757] lr: 7.4109e-02 eta: 2 days, 22:15:01 time: 0.3975 data_time: 0.0145 memory: 13431 grad_norm: 2.5057 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5148 loss: 2.5148 2022/08/14 20:40:08 - mmengine - INFO - Epoch(train) [88][2600/3757] lr: 7.4109e-02 eta: 2 days, 22:14:22 time: 0.3972 data_time: 0.0145 memory: 13431 grad_norm: 2.5923 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9628 loss: 2.9628 2022/08/14 20:40:48 - mmengine - INFO - Epoch(train) [88][2700/3757] lr: 7.4109e-02 eta: 2 days, 22:13:42 time: 0.4008 data_time: 0.0150 memory: 13431 grad_norm: 2.5106 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8931 loss: 2.8931 2022/08/14 20:41:29 - mmengine - INFO - Epoch(train) [88][2800/3757] lr: 7.4109e-02 eta: 2 days, 22:13:02 time: 0.3980 data_time: 0.0146 memory: 13431 grad_norm: 2.5177 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7739 loss: 2.7739 2022/08/14 20:42:09 - mmengine - INFO - Epoch(train) [88][2900/3757] lr: 7.4109e-02 eta: 2 days, 22:12:23 time: 0.4001 data_time: 0.0150 memory: 13431 grad_norm: 2.5737 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8372 loss: 2.8372 2022/08/14 20:42:50 - mmengine - INFO - Epoch(train) [88][3000/3757] lr: 7.4109e-02 eta: 2 days, 22:11:44 time: 0.4048 data_time: 0.0142 memory: 13431 grad_norm: 2.5001 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8328 loss: 2.8328 2022/08/14 20:43:30 - mmengine - INFO - Epoch(train) [88][3100/3757] lr: 7.4109e-02 eta: 2 days, 22:11:04 time: 0.3985 data_time: 0.0140 memory: 13431 grad_norm: 2.4863 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8556 loss: 2.8556 2022/08/14 20:43:47 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 20:44:10 - mmengine - INFO - Epoch(train) [88][3200/3757] lr: 7.4109e-02 eta: 2 days, 22:10:25 time: 0.4004 data_time: 0.0153 memory: 13431 grad_norm: 2.5603 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4795 loss: 2.4795 2022/08/14 20:44:51 - mmengine - INFO - Epoch(train) [88][3300/3757] lr: 7.4109e-02 eta: 2 days, 22:09:45 time: 0.4019 data_time: 0.0169 memory: 13431 grad_norm: 2.5712 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.8885 loss: 2.8885 2022/08/14 20:45:31 - mmengine - INFO - Epoch(train) [88][3400/3757] lr: 7.4109e-02 eta: 2 days, 22:09:05 time: 0.3999 data_time: 0.0146 memory: 13431 grad_norm: 2.5761 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4008 loss: 2.4008 2022/08/14 20:46:11 - mmengine - INFO - Epoch(train) [88][3500/3757] lr: 7.4109e-02 eta: 2 days, 22:08:25 time: 0.4002 data_time: 0.0148 memory: 13431 grad_norm: 2.5986 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2432 loss: 3.2432 2022/08/14 20:46:51 - mmengine - INFO - Epoch(train) [88][3600/3757] lr: 7.4109e-02 eta: 2 days, 22:07:46 time: 0.4046 data_time: 0.0154 memory: 13431 grad_norm: 2.5515 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7378 loss: 2.7378 2022/08/14 20:47:32 - mmengine - INFO - Epoch(train) [88][3700/3757] lr: 7.4109e-02 eta: 2 days, 22:07:07 time: 0.4076 data_time: 0.0149 memory: 13431 grad_norm: 2.6247 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9631 loss: 2.9631 2022/08/14 20:47:54 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 20:47:54 - mmengine - INFO - Epoch(train) [88][3757/3757] lr: 7.4109e-02 eta: 2 days, 22:06:51 time: 0.3885 data_time: 0.0143 memory: 13431 grad_norm: 2.5473 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 2.5820 loss: 2.5820 2022/08/14 20:47:55 - mmengine - INFO - Saving checkpoint at 88 epochs 2022/08/14 20:48:42 - mmengine - INFO - Epoch(train) [89][100/3757] lr: 7.3570e-02 eta: 2 days, 22:05:54 time: 0.3997 data_time: 0.0160 memory: 13431 grad_norm: 2.5582 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8851 loss: 2.8851 2022/08/14 20:49:22 - mmengine - INFO - Epoch(train) [89][200/3757] lr: 7.3570e-02 eta: 2 days, 22:05:15 time: 0.4004 data_time: 0.0157 memory: 13431 grad_norm: 2.5396 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6249 loss: 2.6249 2022/08/14 20:50:02 - mmengine - INFO - Epoch(train) [89][300/3757] lr: 7.3570e-02 eta: 2 days, 22:04:35 time: 0.4028 data_time: 0.0143 memory: 13431 grad_norm: 2.5445 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8372 loss: 2.8372 2022/08/14 20:50:36 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 20:50:43 - mmengine - INFO - Epoch(train) [89][400/3757] lr: 7.3570e-02 eta: 2 days, 22:03:55 time: 0.4009 data_time: 0.0155 memory: 13431 grad_norm: 2.5710 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0215 loss: 3.0215 2022/08/14 20:51:23 - mmengine - INFO - Epoch(train) [89][500/3757] lr: 7.3570e-02 eta: 2 days, 22:03:16 time: 0.4039 data_time: 0.0152 memory: 13431 grad_norm: 2.5943 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7091 loss: 2.7091 2022/08/14 20:52:03 - mmengine - INFO - Epoch(train) [89][600/3757] lr: 7.3570e-02 eta: 2 days, 22:02:36 time: 0.4039 data_time: 0.0150 memory: 13431 grad_norm: 2.5020 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8191 loss: 2.8191 2022/08/14 20:52:44 - mmengine - INFO - Epoch(train) [89][700/3757] lr: 7.3570e-02 eta: 2 days, 22:01:57 time: 0.3992 data_time: 0.0136 memory: 13431 grad_norm: 2.5453 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8902 loss: 2.8902 2022/08/14 20:53:24 - mmengine - INFO - Epoch(train) [89][800/3757] lr: 7.3570e-02 eta: 2 days, 22:01:18 time: 0.4020 data_time: 0.0143 memory: 13431 grad_norm: 2.5735 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0304 loss: 3.0304 2022/08/14 20:54:04 - mmengine - INFO - Epoch(train) [89][900/3757] lr: 7.3570e-02 eta: 2 days, 22:00:38 time: 0.4008 data_time: 0.0149 memory: 13431 grad_norm: 2.5387 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0770 loss: 3.0770 2022/08/14 20:54:45 - mmengine - INFO - Epoch(train) [89][1000/3757] lr: 7.3570e-02 eta: 2 days, 21:59:58 time: 0.4026 data_time: 0.0153 memory: 13431 grad_norm: 2.5776 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.6898 loss: 2.6898 2022/08/14 20:55:25 - mmengine - INFO - Epoch(train) [89][1100/3757] lr: 7.3570e-02 eta: 2 days, 21:59:18 time: 0.4004 data_time: 0.0150 memory: 13431 grad_norm: 2.5783 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9064 loss: 2.9064 2022/08/14 20:56:05 - mmengine - INFO - Epoch(train) [89][1200/3757] lr: 7.3570e-02 eta: 2 days, 21:58:39 time: 0.4076 data_time: 0.0143 memory: 13431 grad_norm: 2.5876 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9138 loss: 2.9138 2022/08/14 20:56:46 - mmengine - INFO - Epoch(train) [89][1300/3757] lr: 7.3570e-02 eta: 2 days, 21:57:59 time: 0.4015 data_time: 0.0150 memory: 13431 grad_norm: 2.5725 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6021 loss: 2.6021 2022/08/14 20:57:20 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 20:57:26 - mmengine - INFO - Epoch(train) [89][1400/3757] lr: 7.3570e-02 eta: 2 days, 21:57:20 time: 0.3999 data_time: 0.0150 memory: 13431 grad_norm: 2.5301 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5604 loss: 2.5604 2022/08/14 20:58:06 - mmengine - INFO - Epoch(train) [89][1500/3757] lr: 7.3570e-02 eta: 2 days, 21:56:40 time: 0.3998 data_time: 0.0143 memory: 13431 grad_norm: 2.5121 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6123 loss: 2.6123 2022/08/14 20:58:47 - mmengine - INFO - Epoch(train) [89][1600/3757] lr: 7.3570e-02 eta: 2 days, 21:56:01 time: 0.4009 data_time: 0.0143 memory: 13431 grad_norm: 2.6079 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8950 loss: 2.8950 2022/08/14 20:59:27 - mmengine - INFO - Epoch(train) [89][1700/3757] lr: 7.3570e-02 eta: 2 days, 21:55:21 time: 0.3996 data_time: 0.0146 memory: 13431 grad_norm: 2.5866 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.8618 loss: 2.8618 2022/08/14 21:00:07 - mmengine - INFO - Epoch(train) [89][1800/3757] lr: 7.3570e-02 eta: 2 days, 21:54:41 time: 0.4006 data_time: 0.0146 memory: 13431 grad_norm: 2.6503 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.7173 loss: 2.7173 2022/08/14 21:00:48 - mmengine - INFO - Epoch(train) [89][1900/3757] lr: 7.3570e-02 eta: 2 days, 21:54:02 time: 0.4017 data_time: 0.0148 memory: 13431 grad_norm: 2.4954 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8127 loss: 2.8127 2022/08/14 21:01:28 - mmengine - INFO - Epoch(train) [89][2000/3757] lr: 7.3570e-02 eta: 2 days, 21:53:22 time: 0.3994 data_time: 0.0148 memory: 13431 grad_norm: 2.6267 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8041 loss: 2.8041 2022/08/14 21:02:08 - mmengine - INFO - Epoch(train) [89][2100/3757] lr: 7.3570e-02 eta: 2 days, 21:52:43 time: 0.4012 data_time: 0.0153 memory: 13431 grad_norm: 2.5322 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7340 loss: 2.7340 2022/08/14 21:02:49 - mmengine - INFO - Epoch(train) [89][2200/3757] lr: 7.3570e-02 eta: 2 days, 21:52:04 time: 0.3980 data_time: 0.0156 memory: 13431 grad_norm: 2.5993 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2081 loss: 3.2081 2022/08/14 21:03:29 - mmengine - INFO - Epoch(train) [89][2300/3757] lr: 7.3570e-02 eta: 2 days, 21:51:24 time: 0.3997 data_time: 0.0146 memory: 13431 grad_norm: 2.5266 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8810 loss: 2.8810 2022/08/14 21:04:03 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 21:04:09 - mmengine - INFO - Epoch(train) [89][2400/3757] lr: 7.3570e-02 eta: 2 days, 21:50:44 time: 0.3998 data_time: 0.0161 memory: 13431 grad_norm: 2.5411 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8427 loss: 2.8427 2022/08/14 21:04:49 - mmengine - INFO - Epoch(train) [89][2500/3757] lr: 7.3570e-02 eta: 2 days, 21:50:04 time: 0.4036 data_time: 0.0163 memory: 13431 grad_norm: 2.5120 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1225 loss: 3.1225 2022/08/14 21:05:30 - mmengine - INFO - Epoch(train) [89][2600/3757] lr: 7.3570e-02 eta: 2 days, 21:49:25 time: 0.4068 data_time: 0.0146 memory: 13431 grad_norm: 2.5237 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.7501 loss: 2.7501 2022/08/14 21:06:10 - mmengine - INFO - Epoch(train) [89][2700/3757] lr: 7.3570e-02 eta: 2 days, 21:48:45 time: 0.4031 data_time: 0.0152 memory: 13431 grad_norm: 2.6641 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8740 loss: 2.8740 2022/08/14 21:06:50 - mmengine - INFO - Epoch(train) [89][2800/3757] lr: 7.3570e-02 eta: 2 days, 21:48:06 time: 0.3998 data_time: 0.0150 memory: 13431 grad_norm: 2.5552 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8093 loss: 2.8093 2022/08/14 21:07:31 - mmengine - INFO - Epoch(train) [89][2900/3757] lr: 7.3570e-02 eta: 2 days, 21:47:26 time: 0.3997 data_time: 0.0149 memory: 13431 grad_norm: 2.5941 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7577 loss: 2.7577 2022/08/14 21:08:11 - mmengine - INFO - Epoch(train) [89][3000/3757] lr: 7.3570e-02 eta: 2 days, 21:46:47 time: 0.3995 data_time: 0.0143 memory: 13431 grad_norm: 2.5032 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0524 loss: 3.0524 2022/08/14 21:08:51 - mmengine - INFO - Epoch(train) [89][3100/3757] lr: 7.3570e-02 eta: 2 days, 21:46:07 time: 0.4003 data_time: 0.0153 memory: 13431 grad_norm: 2.5719 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.6312 loss: 2.6312 2022/08/14 21:09:31 - mmengine - INFO - Epoch(train) [89][3200/3757] lr: 7.3570e-02 eta: 2 days, 21:45:27 time: 0.3986 data_time: 0.0139 memory: 13431 grad_norm: 2.5714 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6385 loss: 2.6385 2022/08/14 21:10:12 - mmengine - INFO - Epoch(train) [89][3300/3757] lr: 7.3570e-02 eta: 2 days, 21:44:48 time: 0.4048 data_time: 0.0144 memory: 13431 grad_norm: 2.5880 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8565 loss: 2.8565 2022/08/14 21:10:46 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 21:10:52 - mmengine - INFO - Epoch(train) [89][3400/3757] lr: 7.3570e-02 eta: 2 days, 21:44:08 time: 0.3986 data_time: 0.0142 memory: 13431 grad_norm: 2.5055 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8237 loss: 2.8237 2022/08/14 21:11:32 - mmengine - INFO - Epoch(train) [89][3500/3757] lr: 7.3570e-02 eta: 2 days, 21:43:28 time: 0.3987 data_time: 0.0145 memory: 13431 grad_norm: 2.6393 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5850 loss: 2.5850 2022/08/14 21:12:13 - mmengine - INFO - Epoch(train) [89][3600/3757] lr: 7.3570e-02 eta: 2 days, 21:42:49 time: 0.3994 data_time: 0.0145 memory: 13431 grad_norm: 2.5590 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8577 loss: 2.8577 2022/08/14 21:12:53 - mmengine - INFO - Epoch(train) [89][3700/3757] lr: 7.3570e-02 eta: 2 days, 21:42:09 time: 0.4082 data_time: 0.0174 memory: 13431 grad_norm: 2.5578 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 3.0576 loss: 3.0576 2022/08/14 21:13:16 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 21:13:16 - mmengine - INFO - Epoch(train) [89][3757/3757] lr: 7.3570e-02 eta: 2 days, 21:41:53 time: 0.3864 data_time: 0.0136 memory: 13431 grad_norm: 2.6087 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.6810 loss: 2.6810 2022/08/14 21:13:58 - mmengine - INFO - Epoch(train) [90][100/3757] lr: 7.3027e-02 eta: 2 days, 21:40:59 time: 0.4015 data_time: 0.0147 memory: 13431 grad_norm: 2.6261 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.8870 loss: 2.8870 2022/08/14 21:14:39 - mmengine - INFO - Epoch(train) [90][200/3757] lr: 7.3027e-02 eta: 2 days, 21:40:19 time: 0.4008 data_time: 0.0154 memory: 13431 grad_norm: 2.5848 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7950 loss: 2.7950 2022/08/14 21:15:19 - mmengine - INFO - Epoch(train) [90][300/3757] lr: 7.3027e-02 eta: 2 days, 21:39:40 time: 0.3988 data_time: 0.0145 memory: 13431 grad_norm: 2.5563 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7066 loss: 2.7066 2022/08/14 21:15:59 - mmengine - INFO - Epoch(train) [90][400/3757] lr: 7.3027e-02 eta: 2 days, 21:39:00 time: 0.3993 data_time: 0.0148 memory: 13431 grad_norm: 2.6341 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9665 loss: 2.9665 2022/08/14 21:16:40 - mmengine - INFO - Epoch(train) [90][500/3757] lr: 7.3027e-02 eta: 2 days, 21:38:21 time: 0.4091 data_time: 0.0180 memory: 13431 grad_norm: 2.5389 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.8085 loss: 2.8085 2022/08/14 21:17:20 - mmengine - INFO - Epoch(train) [90][600/3757] lr: 7.3027e-02 eta: 2 days, 21:37:41 time: 0.3995 data_time: 0.0148 memory: 13431 grad_norm: 2.6226 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7406 loss: 2.7406 2022/08/14 21:17:31 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 21:18:00 - mmengine - INFO - Epoch(train) [90][700/3757] lr: 7.3027e-02 eta: 2 days, 21:37:01 time: 0.4005 data_time: 0.0145 memory: 13431 grad_norm: 2.6494 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8577 loss: 2.8577 2022/08/14 21:18:40 - mmengine - INFO - Epoch(train) [90][800/3757] lr: 7.3027e-02 eta: 2 days, 21:36:21 time: 0.4019 data_time: 0.0143 memory: 13431 grad_norm: 2.5470 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8180 loss: 2.8180 2022/08/14 21:19:21 - mmengine - INFO - Epoch(train) [90][900/3757] lr: 7.3027e-02 eta: 2 days, 21:35:42 time: 0.3984 data_time: 0.0154 memory: 13431 grad_norm: 2.6384 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8533 loss: 2.8533 2022/08/14 21:20:01 - mmengine - INFO - Epoch(train) [90][1000/3757] lr: 7.3027e-02 eta: 2 days, 21:35:03 time: 0.4012 data_time: 0.0150 memory: 13431 grad_norm: 2.5686 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.9835 loss: 2.9835 2022/08/14 21:20:42 - mmengine - INFO - Epoch(train) [90][1100/3757] lr: 7.3027e-02 eta: 2 days, 21:34:23 time: 0.4005 data_time: 0.0142 memory: 13431 grad_norm: 2.6487 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7898 loss: 2.7898 2022/08/14 21:21:22 - mmengine - INFO - Epoch(train) [90][1200/3757] lr: 7.3027e-02 eta: 2 days, 21:33:44 time: 0.4089 data_time: 0.0145 memory: 13431 grad_norm: 2.6067 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8038 loss: 2.8038 2022/08/14 21:22:02 - mmengine - INFO - Epoch(train) [90][1300/3757] lr: 7.3027e-02 eta: 2 days, 21:33:04 time: 0.3991 data_time: 0.0144 memory: 13431 grad_norm: 2.5824 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6742 loss: 2.6742 2022/08/14 21:22:43 - mmengine - INFO - Epoch(train) [90][1400/3757] lr: 7.3027e-02 eta: 2 days, 21:32:25 time: 0.4053 data_time: 0.0143 memory: 13431 grad_norm: 2.5658 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7332 loss: 2.7332 2022/08/14 21:23:23 - mmengine - INFO - Epoch(train) [90][1500/3757] lr: 7.3027e-02 eta: 2 days, 21:31:45 time: 0.3990 data_time: 0.0143 memory: 13431 grad_norm: 2.6069 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8978 loss: 2.8978 2022/08/14 21:24:03 - mmengine - INFO - Epoch(train) [90][1600/3757] lr: 7.3027e-02 eta: 2 days, 21:31:05 time: 0.3985 data_time: 0.0160 memory: 13431 grad_norm: 2.4820 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.7636 loss: 2.7636 2022/08/14 21:24:14 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 21:24:43 - mmengine - INFO - Epoch(train) [90][1700/3757] lr: 7.3027e-02 eta: 2 days, 21:30:26 time: 0.3988 data_time: 0.0144 memory: 13431 grad_norm: 2.5697 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9023 loss: 2.9023 2022/08/14 21:25:24 - mmengine - INFO - Epoch(train) [90][1800/3757] lr: 7.3027e-02 eta: 2 days, 21:29:46 time: 0.4017 data_time: 0.0149 memory: 13431 grad_norm: 2.5994 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6332 loss: 2.6332 2022/08/14 21:26:04 - mmengine - INFO - Epoch(train) [90][1900/3757] lr: 7.3027e-02 eta: 2 days, 21:29:07 time: 0.4085 data_time: 0.0143 memory: 13431 grad_norm: 2.5385 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5751 loss: 2.5751 2022/08/14 21:26:44 - mmengine - INFO - Epoch(train) [90][2000/3757] lr: 7.3027e-02 eta: 2 days, 21:28:27 time: 0.4023 data_time: 0.0140 memory: 13431 grad_norm: 2.5501 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7690 loss: 2.7690 2022/08/14 21:27:25 - mmengine - INFO - Epoch(train) [90][2100/3757] lr: 7.3027e-02 eta: 2 days, 21:27:47 time: 0.4011 data_time: 0.0151 memory: 13431 grad_norm: 2.6436 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5675 loss: 2.5675 2022/08/14 21:28:05 - mmengine - INFO - Epoch(train) [90][2200/3757] lr: 7.3027e-02 eta: 2 days, 21:27:08 time: 0.3991 data_time: 0.0143 memory: 13431 grad_norm: 2.5771 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1740 loss: 3.1740 2022/08/14 21:28:45 - mmengine - INFO - Epoch(train) [90][2300/3757] lr: 7.3027e-02 eta: 2 days, 21:26:28 time: 0.4006 data_time: 0.0161 memory: 13431 grad_norm: 2.5535 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7445 loss: 2.7445 2022/08/14 21:29:26 - mmengine - INFO - Epoch(train) [90][2400/3757] lr: 7.3027e-02 eta: 2 days, 21:25:49 time: 0.4022 data_time: 0.0157 memory: 13431 grad_norm: 2.5689 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1879 loss: 3.1879 2022/08/14 21:30:06 - mmengine - INFO - Epoch(train) [90][2500/3757] lr: 7.3027e-02 eta: 2 days, 21:25:09 time: 0.4033 data_time: 0.0151 memory: 13431 grad_norm: 2.5898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7836 loss: 2.7836 2022/08/14 21:30:46 - mmengine - INFO - Epoch(train) [90][2600/3757] lr: 7.3027e-02 eta: 2 days, 21:24:30 time: 0.4102 data_time: 0.0143 memory: 13431 grad_norm: 2.5890 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6622 loss: 2.6622 2022/08/14 21:30:57 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 21:31:27 - mmengine - INFO - Epoch(train) [90][2700/3757] lr: 7.3027e-02 eta: 2 days, 21:23:50 time: 0.4021 data_time: 0.0148 memory: 13431 grad_norm: 2.5977 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8510 loss: 2.8510 2022/08/14 21:32:07 - mmengine - INFO - Epoch(train) [90][2800/3757] lr: 7.3027e-02 eta: 2 days, 21:23:11 time: 0.4018 data_time: 0.0157 memory: 13431 grad_norm: 2.5594 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9678 loss: 2.9678 2022/08/14 21:32:47 - mmengine - INFO - Epoch(train) [90][2900/3757] lr: 7.3027e-02 eta: 2 days, 21:22:31 time: 0.4016 data_time: 0.0134 memory: 13431 grad_norm: 2.5259 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8082 loss: 2.8082 2022/08/14 21:33:28 - mmengine - INFO - Epoch(train) [90][3000/3757] lr: 7.3027e-02 eta: 2 days, 21:21:52 time: 0.4106 data_time: 0.0152 memory: 13431 grad_norm: 2.5415 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7549 loss: 2.7549 2022/08/14 21:34:08 - mmengine - INFO - Epoch(train) [90][3100/3757] lr: 7.3027e-02 eta: 2 days, 21:21:13 time: 0.4017 data_time: 0.0157 memory: 13431 grad_norm: 2.5458 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7016 loss: 2.7016 2022/08/14 21:34:49 - mmengine - INFO - Epoch(train) [90][3200/3757] lr: 7.3027e-02 eta: 2 days, 21:20:33 time: 0.4008 data_time: 0.0151 memory: 13431 grad_norm: 2.5782 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4600 loss: 2.4600 2022/08/14 21:35:29 - mmengine - INFO - Epoch(train) [90][3300/3757] lr: 7.3027e-02 eta: 2 days, 21:19:54 time: 0.4071 data_time: 0.0153 memory: 13431 grad_norm: 2.6588 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7363 loss: 2.7363 2022/08/14 21:36:09 - mmengine - INFO - Epoch(train) [90][3400/3757] lr: 7.3027e-02 eta: 2 days, 21:19:14 time: 0.4016 data_time: 0.0153 memory: 13431 grad_norm: 2.5921 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5032 loss: 2.5032 2022/08/14 21:36:50 - mmengine - INFO - Epoch(train) [90][3500/3757] lr: 7.3027e-02 eta: 2 days, 21:18:34 time: 0.4013 data_time: 0.0154 memory: 13431 grad_norm: 2.5228 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0277 loss: 3.0277 2022/08/14 21:37:30 - mmengine - INFO - Epoch(train) [90][3600/3757] lr: 7.3027e-02 eta: 2 days, 21:17:54 time: 0.4049 data_time: 0.0151 memory: 13431 grad_norm: 2.5301 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8645 loss: 2.8645 2022/08/14 21:37:41 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 21:38:10 - mmengine - INFO - Epoch(train) [90][3700/3757] lr: 7.3027e-02 eta: 2 days, 21:17:15 time: 0.4000 data_time: 0.0151 memory: 13431 grad_norm: 2.6088 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6387 loss: 2.6387 2022/08/14 21:38:33 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 21:38:33 - mmengine - INFO - Epoch(train) [90][3757/3757] lr: 7.3027e-02 eta: 2 days, 21:16:59 time: 0.3873 data_time: 0.0133 memory: 13431 grad_norm: 2.6015 top1_acc: 0.1429 top5_acc: 0.4286 loss_cls: 2.6372 loss: 2.6372 2022/08/14 21:38:55 - mmengine - INFO - Epoch(val) [90][100/310] eta: 0:00:45 time: 0.2163 data_time: 0.0858 memory: 1974 2022/08/14 21:39:17 - mmengine - INFO - Epoch(val) [90][200/310] eta: 0:00:20 time: 0.1902 data_time: 0.0578 memory: 1974 2022/08/14 21:39:38 - mmengine - INFO - Epoch(val) [90][300/310] eta: 0:00:02 time: 0.2059 data_time: 0.0784 memory: 1974 2022/08/14 21:39:42 - mmengine - INFO - Epoch(val) [90][310/310] acc/top1: 0.4367 acc/top5: 0.7134 acc/mean1: 0.4365 2022/08/14 21:40:24 - mmengine - INFO - Epoch(train) [91][100/3757] lr: 7.2481e-02 eta: 2 days, 21:16:04 time: 0.3983 data_time: 0.0136 memory: 13431 grad_norm: 2.5657 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7503 loss: 2.7503 2022/08/14 21:41:05 - mmengine - INFO - Epoch(train) [91][200/3757] lr: 7.2481e-02 eta: 2 days, 21:15:25 time: 0.3982 data_time: 0.0143 memory: 13431 grad_norm: 2.6131 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6299 loss: 2.6299 2022/08/14 21:41:45 - mmengine - INFO - Epoch(train) [91][300/3757] lr: 7.2481e-02 eta: 2 days, 21:14:45 time: 0.4002 data_time: 0.0148 memory: 13431 grad_norm: 2.5920 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0279 loss: 3.0279 2022/08/14 21:42:25 - mmengine - INFO - Epoch(train) [91][400/3757] lr: 7.2481e-02 eta: 2 days, 21:14:05 time: 0.3978 data_time: 0.0142 memory: 13431 grad_norm: 2.5526 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.9219 loss: 2.9219 2022/08/14 21:43:05 - mmengine - INFO - Epoch(train) [91][500/3757] lr: 7.2481e-02 eta: 2 days, 21:13:26 time: 0.4065 data_time: 0.0152 memory: 13431 grad_norm: 2.5319 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6442 loss: 2.6442 2022/08/14 21:43:46 - mmengine - INFO - Epoch(train) [91][600/3757] lr: 7.2481e-02 eta: 2 days, 21:12:46 time: 0.4052 data_time: 0.0146 memory: 13431 grad_norm: 2.5856 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0516 loss: 3.0516 2022/08/14 21:44:26 - mmengine - INFO - Epoch(train) [91][700/3757] lr: 7.2481e-02 eta: 2 days, 21:12:07 time: 0.4008 data_time: 0.0140 memory: 13431 grad_norm: 2.5177 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8262 loss: 2.8262 2022/08/14 21:45:06 - mmengine - INFO - Epoch(train) [91][800/3757] lr: 7.2481e-02 eta: 2 days, 21:11:27 time: 0.3990 data_time: 0.0153 memory: 13431 grad_norm: 2.5395 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5932 loss: 2.5932 2022/08/14 21:45:35 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 21:45:47 - mmengine - INFO - Epoch(train) [91][900/3757] lr: 7.2481e-02 eta: 2 days, 21:10:48 time: 0.3992 data_time: 0.0149 memory: 13431 grad_norm: 2.5181 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7769 loss: 2.7769 2022/08/14 21:46:27 - mmengine - INFO - Epoch(train) [91][1000/3757] lr: 7.2481e-02 eta: 2 days, 21:10:08 time: 0.4006 data_time: 0.0140 memory: 13431 grad_norm: 2.5982 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9626 loss: 2.9626 2022/08/14 21:47:07 - mmengine - INFO - Epoch(train) [91][1100/3757] lr: 7.2481e-02 eta: 2 days, 21:09:28 time: 0.3985 data_time: 0.0140 memory: 13431 grad_norm: 2.5289 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5713 loss: 2.5713 2022/08/14 21:47:48 - mmengine - INFO - Epoch(train) [91][1200/3757] lr: 7.2481e-02 eta: 2 days, 21:08:48 time: 0.4005 data_time: 0.0150 memory: 13431 grad_norm: 2.6387 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8125 loss: 2.8125 2022/08/14 21:48:28 - mmengine - INFO - Epoch(train) [91][1300/3757] lr: 7.2481e-02 eta: 2 days, 21:08:09 time: 0.4055 data_time: 0.0140 memory: 13431 grad_norm: 2.4707 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5729 loss: 2.5729 2022/08/14 21:49:08 - mmengine - INFO - Epoch(train) [91][1400/3757] lr: 7.2481e-02 eta: 2 days, 21:07:30 time: 0.4002 data_time: 0.0146 memory: 13431 grad_norm: 2.5638 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0297 loss: 3.0297 2022/08/14 21:49:49 - mmengine - INFO - Epoch(train) [91][1500/3757] lr: 7.2481e-02 eta: 2 days, 21:06:50 time: 0.4003 data_time: 0.0142 memory: 13431 grad_norm: 2.6203 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5210 loss: 2.5210 2022/08/14 21:50:29 - mmengine - INFO - Epoch(train) [91][1600/3757] lr: 7.2481e-02 eta: 2 days, 21:06:11 time: 0.4004 data_time: 0.0151 memory: 13431 grad_norm: 2.5400 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7663 loss: 2.7663 2022/08/14 21:51:10 - mmengine - INFO - Epoch(train) [91][1700/3757] lr: 7.2481e-02 eta: 2 days, 21:05:31 time: 0.4010 data_time: 0.0147 memory: 13431 grad_norm: 2.5507 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9016 loss: 2.9016 2022/08/14 21:51:50 - mmengine - INFO - Epoch(train) [91][1800/3757] lr: 7.2481e-02 eta: 2 days, 21:04:52 time: 0.3994 data_time: 0.0149 memory: 13431 grad_norm: 2.6133 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9755 loss: 2.9755 2022/08/14 21:52:18 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 21:52:30 - mmengine - INFO - Epoch(train) [91][1900/3757] lr: 7.2481e-02 eta: 2 days, 21:04:12 time: 0.4005 data_time: 0.0142 memory: 13431 grad_norm: 2.5131 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1610 loss: 3.1610 2022/08/14 21:53:11 - mmengine - INFO - Epoch(train) [91][2000/3757] lr: 7.2481e-02 eta: 2 days, 21:03:33 time: 0.4042 data_time: 0.0156 memory: 13431 grad_norm: 2.5443 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 3.0953 loss: 3.0953 2022/08/14 21:53:51 - mmengine - INFO - Epoch(train) [91][2100/3757] lr: 7.2481e-02 eta: 2 days, 21:02:53 time: 0.4019 data_time: 0.0146 memory: 13431 grad_norm: 2.4556 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5274 loss: 2.5274 2022/08/14 21:54:31 - mmengine - INFO - Epoch(train) [91][2200/3757] lr: 7.2481e-02 eta: 2 days, 21:02:14 time: 0.3989 data_time: 0.0140 memory: 13431 grad_norm: 2.5965 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0783 loss: 3.0783 2022/08/14 21:55:12 - mmengine - INFO - Epoch(train) [91][2300/3757] lr: 7.2481e-02 eta: 2 days, 21:01:34 time: 0.4023 data_time: 0.0138 memory: 13431 grad_norm: 2.6576 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0003 loss: 3.0003 2022/08/14 21:55:52 - mmengine - INFO - Epoch(train) [91][2400/3757] lr: 7.2481e-02 eta: 2 days, 21:00:55 time: 0.4012 data_time: 0.0144 memory: 13431 grad_norm: 2.6010 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6665 loss: 2.6665 2022/08/14 21:56:32 - mmengine - INFO - Epoch(train) [91][2500/3757] lr: 7.2481e-02 eta: 2 days, 21:00:15 time: 0.3998 data_time: 0.0148 memory: 13431 grad_norm: 2.5599 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9452 loss: 2.9452 2022/08/14 21:57:12 - mmengine - INFO - Epoch(train) [91][2600/3757] lr: 7.2481e-02 eta: 2 days, 20:59:35 time: 0.4003 data_time: 0.0145 memory: 13431 grad_norm: 2.6124 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5687 loss: 2.5687 2022/08/14 21:57:53 - mmengine - INFO - Epoch(train) [91][2700/3757] lr: 7.2481e-02 eta: 2 days, 20:58:56 time: 0.3985 data_time: 0.0143 memory: 13431 grad_norm: 2.5768 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6829 loss: 2.6829 2022/08/14 21:58:33 - mmengine - INFO - Epoch(train) [91][2800/3757] lr: 7.2481e-02 eta: 2 days, 20:58:16 time: 0.3999 data_time: 0.0147 memory: 13431 grad_norm: 2.6417 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.9247 loss: 2.9247 2022/08/14 21:59:02 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 21:59:14 - mmengine - INFO - Epoch(train) [91][2900/3757] lr: 7.2481e-02 eta: 2 days, 20:57:37 time: 0.3989 data_time: 0.0151 memory: 13431 grad_norm: 2.5229 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8449 loss: 2.8449 2022/08/14 21:59:54 - mmengine - INFO - Epoch(train) [91][3000/3757] lr: 7.2481e-02 eta: 2 days, 20:56:57 time: 0.3996 data_time: 0.0147 memory: 13431 grad_norm: 2.6256 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9902 loss: 2.9902 2022/08/14 22:00:34 - mmengine - INFO - Epoch(train) [91][3100/3757] lr: 7.2481e-02 eta: 2 days, 20:56:17 time: 0.4010 data_time: 0.0155 memory: 13431 grad_norm: 2.5657 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.7527 loss: 2.7527 2022/08/14 22:01:14 - mmengine - INFO - Epoch(train) [91][3200/3757] lr: 7.2481e-02 eta: 2 days, 20:55:37 time: 0.4005 data_time: 0.0162 memory: 13431 grad_norm: 2.5450 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9577 loss: 2.9577 2022/08/14 22:01:54 - mmengine - INFO - Epoch(train) [91][3300/3757] lr: 7.2481e-02 eta: 2 days, 20:54:58 time: 0.3995 data_time: 0.0154 memory: 13431 grad_norm: 2.6542 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9852 loss: 2.9852 2022/08/14 22:02:35 - mmengine - INFO - Epoch(train) [91][3400/3757] lr: 7.2481e-02 eta: 2 days, 20:54:18 time: 0.4026 data_time: 0.0146 memory: 13431 grad_norm: 2.6149 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6221 loss: 2.6221 2022/08/14 22:03:15 - mmengine - INFO - Epoch(train) [91][3500/3757] lr: 7.2481e-02 eta: 2 days, 20:53:39 time: 0.4020 data_time: 0.0166 memory: 13431 grad_norm: 2.5521 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2149 loss: 3.2149 2022/08/14 22:03:55 - mmengine - INFO - Epoch(train) [91][3600/3757] lr: 7.2481e-02 eta: 2 days, 20:52:59 time: 0.3985 data_time: 0.0145 memory: 13431 grad_norm: 2.5906 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8947 loss: 2.8947 2022/08/14 22:04:36 - mmengine - INFO - Epoch(train) [91][3700/3757] lr: 7.2481e-02 eta: 2 days, 20:52:20 time: 0.3999 data_time: 0.0153 memory: 13431 grad_norm: 2.5518 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8303 loss: 2.8303 2022/08/14 22:04:59 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 22:04:59 - mmengine - INFO - Epoch(train) [91][3757/3757] lr: 7.2481e-02 eta: 2 days, 20:52:04 time: 0.3877 data_time: 0.0141 memory: 13431 grad_norm: 2.6643 top1_acc: 0.1429 top5_acc: 0.1429 loss_cls: 3.0953 loss: 3.0953 2022/08/14 22:05:42 - mmengine - INFO - Epoch(train) [92][100/3757] lr: 7.1931e-02 eta: 2 days, 20:51:10 time: 0.4016 data_time: 0.0154 memory: 13431 grad_norm: 2.5675 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9886 loss: 2.9886 2022/08/14 22:05:47 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 22:06:22 - mmengine - INFO - Epoch(train) [92][200/3757] lr: 7.1931e-02 eta: 2 days, 20:50:30 time: 0.4016 data_time: 0.0148 memory: 13431 grad_norm: 2.6631 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8415 loss: 2.8415 2022/08/14 22:07:02 - mmengine - INFO - Epoch(train) [92][300/3757] lr: 7.1931e-02 eta: 2 days, 20:49:51 time: 0.3994 data_time: 0.0148 memory: 13431 grad_norm: 2.5049 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8646 loss: 2.8646 2022/08/14 22:07:43 - mmengine - INFO - Epoch(train) [92][400/3757] lr: 7.1931e-02 eta: 2 days, 20:49:11 time: 0.4009 data_time: 0.0142 memory: 13431 grad_norm: 2.5885 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5925 loss: 2.5925 2022/08/14 22:08:23 - mmengine - INFO - Epoch(train) [92][500/3757] lr: 7.1931e-02 eta: 2 days, 20:48:32 time: 0.4035 data_time: 0.0147 memory: 13431 grad_norm: 2.6204 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6319 loss: 2.6319 2022/08/14 22:09:04 - mmengine - INFO - Epoch(train) [92][600/3757] lr: 7.1931e-02 eta: 2 days, 20:47:52 time: 0.3988 data_time: 0.0144 memory: 13431 grad_norm: 2.6182 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5472 loss: 2.5472 2022/08/14 22:09:44 - mmengine - INFO - Epoch(train) [92][700/3757] lr: 7.1931e-02 eta: 2 days, 20:47:13 time: 0.4001 data_time: 0.0138 memory: 13431 grad_norm: 2.5356 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7810 loss: 2.7810 2022/08/14 22:10:24 - mmengine - INFO - Epoch(train) [92][800/3757] lr: 7.1931e-02 eta: 2 days, 20:46:33 time: 0.3990 data_time: 0.0144 memory: 13431 grad_norm: 2.5135 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7909 loss: 2.7909 2022/08/14 22:11:04 - mmengine - INFO - Epoch(train) [92][900/3757] lr: 7.1931e-02 eta: 2 days, 20:45:53 time: 0.3986 data_time: 0.0138 memory: 13431 grad_norm: 2.5760 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9594 loss: 2.9594 2022/08/14 22:11:45 - mmengine - INFO - Epoch(train) [92][1000/3757] lr: 7.1931e-02 eta: 2 days, 20:45:14 time: 0.4009 data_time: 0.0140 memory: 13431 grad_norm: 2.5700 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9822 loss: 2.9822 2022/08/14 22:12:25 - mmengine - INFO - Epoch(train) [92][1100/3757] lr: 7.1931e-02 eta: 2 days, 20:44:34 time: 0.4041 data_time: 0.0140 memory: 13431 grad_norm: 2.5897 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9958 loss: 2.9958 2022/08/14 22:12:30 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 22:13:05 - mmengine - INFO - Epoch(train) [92][1200/3757] lr: 7.1931e-02 eta: 2 days, 20:43:55 time: 0.3990 data_time: 0.0152 memory: 13431 grad_norm: 2.7206 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8895 loss: 2.8895 2022/08/14 22:13:46 - mmengine - INFO - Epoch(train) [92][1300/3757] lr: 7.1931e-02 eta: 2 days, 20:43:15 time: 0.4013 data_time: 0.0151 memory: 13431 grad_norm: 2.6251 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7711 loss: 2.7711 2022/08/14 22:14:26 - mmengine - INFO - Epoch(train) [92][1400/3757] lr: 7.1931e-02 eta: 2 days, 20:42:36 time: 0.4008 data_time: 0.0146 memory: 13431 grad_norm: 2.5520 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6741 loss: 2.6741 2022/08/14 22:15:06 - mmengine - INFO - Epoch(train) [92][1500/3757] lr: 7.1931e-02 eta: 2 days, 20:41:56 time: 0.4002 data_time: 0.0145 memory: 13431 grad_norm: 2.5634 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8503 loss: 2.8503 2022/08/14 22:15:47 - mmengine - INFO - Epoch(train) [92][1600/3757] lr: 7.1931e-02 eta: 2 days, 20:41:16 time: 0.4010 data_time: 0.0158 memory: 13431 grad_norm: 2.5945 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0396 loss: 3.0396 2022/08/14 22:16:27 - mmengine - INFO - Epoch(train) [92][1700/3757] lr: 7.1931e-02 eta: 2 days, 20:40:37 time: 0.4010 data_time: 0.0143 memory: 13431 grad_norm: 2.6534 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7908 loss: 2.7908 2022/08/14 22:17:07 - mmengine - INFO - Epoch(train) [92][1800/3757] lr: 7.1931e-02 eta: 2 days, 20:39:57 time: 0.3998 data_time: 0.0146 memory: 13431 grad_norm: 2.5176 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8198 loss: 2.8198 2022/08/14 22:17:48 - mmengine - INFO - Epoch(train) [92][1900/3757] lr: 7.1931e-02 eta: 2 days, 20:39:18 time: 0.4004 data_time: 0.0140 memory: 13431 grad_norm: 2.5245 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8734 loss: 2.8734 2022/08/14 22:18:28 - mmengine - INFO - Epoch(train) [92][2000/3757] lr: 7.1931e-02 eta: 2 days, 20:38:38 time: 0.4044 data_time: 0.0143 memory: 13431 grad_norm: 2.5823 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.7149 loss: 2.7149 2022/08/14 22:19:08 - mmengine - INFO - Epoch(train) [92][2100/3757] lr: 7.1931e-02 eta: 2 days, 20:37:59 time: 0.3985 data_time: 0.0135 memory: 13431 grad_norm: 2.5694 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6211 loss: 2.6211 2022/08/14 22:19:14 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 22:19:49 - mmengine - INFO - Epoch(train) [92][2200/3757] lr: 7.1931e-02 eta: 2 days, 20:37:19 time: 0.4024 data_time: 0.0146 memory: 13431 grad_norm: 2.6130 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6412 loss: 2.6412 2022/08/14 22:20:29 - mmengine - INFO - Epoch(train) [92][2300/3757] lr: 7.1931e-02 eta: 2 days, 20:36:39 time: 0.3987 data_time: 0.0144 memory: 13431 grad_norm: 2.5928 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8568 loss: 2.8568 2022/08/14 22:21:09 - mmengine - INFO - Epoch(train) [92][2400/3757] lr: 7.1931e-02 eta: 2 days, 20:35:59 time: 0.4070 data_time: 0.0152 memory: 13431 grad_norm: 2.6456 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.8865 loss: 2.8865 2022/08/14 22:21:50 - mmengine - INFO - Epoch(train) [92][2500/3757] lr: 7.1931e-02 eta: 2 days, 20:35:20 time: 0.3981 data_time: 0.0144 memory: 13431 grad_norm: 2.5628 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0400 loss: 3.0400 2022/08/14 22:22:30 - mmengine - INFO - Epoch(train) [92][2600/3757] lr: 7.1931e-02 eta: 2 days, 20:34:41 time: 0.4005 data_time: 0.0148 memory: 13431 grad_norm: 2.5433 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8542 loss: 2.8542 2022/08/14 22:23:10 - mmengine - INFO - Epoch(train) [92][2700/3757] lr: 7.1931e-02 eta: 2 days, 20:34:01 time: 0.4068 data_time: 0.0147 memory: 13431 grad_norm: 2.6424 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8505 loss: 2.8505 2022/08/14 22:23:51 - mmengine - INFO - Epoch(train) [92][2800/3757] lr: 7.1931e-02 eta: 2 days, 20:33:22 time: 0.3995 data_time: 0.0141 memory: 13431 grad_norm: 2.6901 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8828 loss: 2.8828 2022/08/14 22:24:31 - mmengine - INFO - Epoch(train) [92][2900/3757] lr: 7.1931e-02 eta: 2 days, 20:32:42 time: 0.4010 data_time: 0.0148 memory: 13431 grad_norm: 2.5789 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6395 loss: 2.6395 2022/08/14 22:25:11 - mmengine - INFO - Epoch(train) [92][3000/3757] lr: 7.1931e-02 eta: 2 days, 20:32:02 time: 0.3997 data_time: 0.0152 memory: 13431 grad_norm: 2.5670 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5907 loss: 2.5907 2022/08/14 22:25:51 - mmengine - INFO - Epoch(train) [92][3100/3757] lr: 7.1931e-02 eta: 2 days, 20:31:22 time: 0.3999 data_time: 0.0168 memory: 13431 grad_norm: 2.6710 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.5402 loss: 2.5402 2022/08/14 22:25:57 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 22:26:32 - mmengine - INFO - Epoch(train) [92][3200/3757] lr: 7.1931e-02 eta: 2 days, 20:30:43 time: 0.4022 data_time: 0.0145 memory: 13431 grad_norm: 2.5662 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7668 loss: 2.7668 2022/08/14 22:27:12 - mmengine - INFO - Epoch(train) [92][3300/3757] lr: 7.1931e-02 eta: 2 days, 20:30:03 time: 0.4045 data_time: 0.0141 memory: 13431 grad_norm: 2.6272 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8618 loss: 2.8618 2022/08/14 22:27:52 - mmengine - INFO - Epoch(train) [92][3400/3757] lr: 7.1931e-02 eta: 2 days, 20:29:24 time: 0.4062 data_time: 0.0153 memory: 13431 grad_norm: 2.5280 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5236 loss: 2.5236 2022/08/14 22:28:33 - mmengine - INFO - Epoch(train) [92][3500/3757] lr: 7.1931e-02 eta: 2 days, 20:28:44 time: 0.3995 data_time: 0.0150 memory: 13431 grad_norm: 2.5840 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9644 loss: 2.9644 2022/08/14 22:29:13 - mmengine - INFO - Epoch(train) [92][3600/3757] lr: 7.1931e-02 eta: 2 days, 20:28:04 time: 0.4000 data_time: 0.0144 memory: 13431 grad_norm: 2.5998 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7022 loss: 2.7022 2022/08/14 22:29:53 - mmengine - INFO - Epoch(train) [92][3700/3757] lr: 7.1931e-02 eta: 2 days, 20:27:25 time: 0.3993 data_time: 0.0152 memory: 13431 grad_norm: 2.5777 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8906 loss: 2.8906 2022/08/14 22:30:16 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 22:30:16 - mmengine - INFO - Epoch(train) [92][3757/3757] lr: 7.1931e-02 eta: 2 days, 20:27:09 time: 0.3868 data_time: 0.0136 memory: 13431 grad_norm: 2.5346 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 2.8754 loss: 2.8754 2022/08/14 22:30:16 - mmengine - INFO - Saving checkpoint at 92 epochs 2022/08/14 22:31:03 - mmengine - INFO - Epoch(train) [93][100/3757] lr: 7.1378e-02 eta: 2 days, 20:26:12 time: 0.4007 data_time: 0.0148 memory: 13431 grad_norm: 2.5869 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4924 loss: 2.4924 2022/08/14 22:31:43 - mmengine - INFO - Epoch(train) [93][200/3757] lr: 7.1378e-02 eta: 2 days, 20:25:32 time: 0.4012 data_time: 0.0150 memory: 13431 grad_norm: 2.6236 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6677 loss: 2.6677 2022/08/14 22:32:23 - mmengine - INFO - Epoch(train) [93][300/3757] lr: 7.1378e-02 eta: 2 days, 20:24:53 time: 0.4022 data_time: 0.0158 memory: 13431 grad_norm: 2.6031 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1279 loss: 3.1279 2022/08/14 22:32:46 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 22:33:04 - mmengine - INFO - Epoch(train) [93][400/3757] lr: 7.1378e-02 eta: 2 days, 20:24:14 time: 0.3999 data_time: 0.0155 memory: 13431 grad_norm: 2.5759 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7631 loss: 2.7631 2022/08/14 22:33:44 - mmengine - INFO - Epoch(train) [93][500/3757] lr: 7.1378e-02 eta: 2 days, 20:23:34 time: 0.4005 data_time: 0.0144 memory: 13431 grad_norm: 2.5621 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6793 loss: 2.6793 2022/08/14 22:34:25 - mmengine - INFO - Epoch(train) [93][600/3757] lr: 7.1378e-02 eta: 2 days, 20:22:54 time: 0.4083 data_time: 0.0137 memory: 13431 grad_norm: 2.6171 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5322 loss: 2.5322 2022/08/14 22:35:05 - mmengine - INFO - Epoch(train) [93][700/3757] lr: 7.1378e-02 eta: 2 days, 20:22:14 time: 0.3996 data_time: 0.0146 memory: 13431 grad_norm: 2.5511 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4494 loss: 2.4494 2022/08/14 22:35:45 - mmengine - INFO - Epoch(train) [93][800/3757] lr: 7.1378e-02 eta: 2 days, 20:21:35 time: 0.3997 data_time: 0.0145 memory: 13431 grad_norm: 2.5921 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9558 loss: 2.9558 2022/08/14 22:36:25 - mmengine - INFO - Epoch(train) [93][900/3757] lr: 7.1378e-02 eta: 2 days, 20:20:55 time: 0.4013 data_time: 0.0144 memory: 13431 grad_norm: 2.7439 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7051 loss: 2.7051 2022/08/14 22:37:06 - mmengine - INFO - Epoch(train) [93][1000/3757] lr: 7.1378e-02 eta: 2 days, 20:20:16 time: 0.4019 data_time: 0.0155 memory: 13431 grad_norm: 2.5703 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.7539 loss: 2.7539 2022/08/14 22:37:46 - mmengine - INFO - Epoch(train) [93][1100/3757] lr: 7.1378e-02 eta: 2 days, 20:19:37 time: 0.4002 data_time: 0.0148 memory: 13431 grad_norm: 2.6200 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.7100 loss: 2.7100 2022/08/14 22:38:27 - mmengine - INFO - Epoch(train) [93][1200/3757] lr: 7.1378e-02 eta: 2 days, 20:18:57 time: 0.4042 data_time: 0.0154 memory: 13431 grad_norm: 2.6087 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7655 loss: 2.7655 2022/08/14 22:39:07 - mmengine - INFO - Epoch(train) [93][1300/3757] lr: 7.1378e-02 eta: 2 days, 20:18:17 time: 0.4020 data_time: 0.0147 memory: 13431 grad_norm: 2.6087 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5057 loss: 2.5057 2022/08/14 22:39:29 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 22:39:47 - mmengine - INFO - Epoch(train) [93][1400/3757] lr: 7.1378e-02 eta: 2 days, 20:17:37 time: 0.4026 data_time: 0.0150 memory: 13431 grad_norm: 2.6026 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.9843 loss: 2.9843 2022/08/14 22:40:27 - mmengine - INFO - Epoch(train) [93][1500/3757] lr: 7.1378e-02 eta: 2 days, 20:16:58 time: 0.4005 data_time: 0.0150 memory: 13431 grad_norm: 2.5855 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5532 loss: 2.5532 2022/08/14 22:41:08 - mmengine - INFO - Epoch(train) [93][1600/3757] lr: 7.1378e-02 eta: 2 days, 20:16:19 time: 0.3999 data_time: 0.0141 memory: 13431 grad_norm: 2.5549 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8636 loss: 2.8636 2022/08/14 22:41:48 - mmengine - INFO - Epoch(train) [93][1700/3757] lr: 7.1378e-02 eta: 2 days, 20:15:39 time: 0.3993 data_time: 0.0146 memory: 13431 grad_norm: 2.5838 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9597 loss: 2.9597 2022/08/14 22:42:29 - mmengine - INFO - Epoch(train) [93][1800/3757] lr: 7.1378e-02 eta: 2 days, 20:15:00 time: 0.4009 data_time: 0.0182 memory: 13431 grad_norm: 2.5384 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.8616 loss: 2.8616 2022/08/14 22:43:09 - mmengine - INFO - Epoch(train) [93][1900/3757] lr: 7.1378e-02 eta: 2 days, 20:14:20 time: 0.4012 data_time: 0.0150 memory: 13431 grad_norm: 2.6192 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8749 loss: 2.8749 2022/08/14 22:43:49 - mmengine - INFO - Epoch(train) [93][2000/3757] lr: 7.1378e-02 eta: 2 days, 20:13:40 time: 0.4037 data_time: 0.0164 memory: 13431 grad_norm: 2.6123 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.8014 loss: 2.8014 2022/08/14 22:44:30 - mmengine - INFO - Epoch(train) [93][2100/3757] lr: 7.1378e-02 eta: 2 days, 20:13:01 time: 0.4021 data_time: 0.0161 memory: 13431 grad_norm: 2.6705 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9514 loss: 2.9514 2022/08/14 22:45:10 - mmengine - INFO - Epoch(train) [93][2200/3757] lr: 7.1378e-02 eta: 2 days, 20:12:22 time: 0.4026 data_time: 0.0147 memory: 13431 grad_norm: 2.5400 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0294 loss: 3.0294 2022/08/14 22:45:51 - mmengine - INFO - Epoch(train) [93][2300/3757] lr: 7.1378e-02 eta: 2 days, 20:11:42 time: 0.3994 data_time: 0.0146 memory: 13431 grad_norm: 2.5833 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8398 loss: 2.8398 2022/08/14 22:46:13 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 22:46:31 - mmengine - INFO - Epoch(train) [93][2400/3757] lr: 7.1378e-02 eta: 2 days, 20:11:02 time: 0.3997 data_time: 0.0142 memory: 13431 grad_norm: 2.5675 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6475 loss: 2.6475 2022/08/14 22:47:11 - mmengine - INFO - Epoch(train) [93][2500/3757] lr: 7.1378e-02 eta: 2 days, 20:10:23 time: 0.3983 data_time: 0.0143 memory: 13431 grad_norm: 2.5418 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7657 loss: 2.7657 2022/08/14 22:47:51 - mmengine - INFO - Epoch(train) [93][2600/3757] lr: 7.1378e-02 eta: 2 days, 20:09:43 time: 0.3988 data_time: 0.0156 memory: 13431 grad_norm: 2.5351 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0097 loss: 3.0097 2022/08/14 22:48:32 - mmengine - INFO - Epoch(train) [93][2700/3757] lr: 7.1378e-02 eta: 2 days, 20:09:03 time: 0.3992 data_time: 0.0146 memory: 13431 grad_norm: 2.5418 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7730 loss: 2.7730 2022/08/14 22:49:12 - mmengine - INFO - Epoch(train) [93][2800/3757] lr: 7.1378e-02 eta: 2 days, 20:08:24 time: 0.3995 data_time: 0.0144 memory: 13431 grad_norm: 2.5253 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7119 loss: 2.7119 2022/08/14 22:49:52 - mmengine - INFO - Epoch(train) [93][2900/3757] lr: 7.1378e-02 eta: 2 days, 20:07:44 time: 0.3999 data_time: 0.0142 memory: 13431 grad_norm: 2.6000 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5584 loss: 2.5584 2022/08/14 22:50:33 - mmengine - INFO - Epoch(train) [93][3000/3757] lr: 7.1378e-02 eta: 2 days, 20:07:05 time: 0.4002 data_time: 0.0151 memory: 13431 grad_norm: 2.5676 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7286 loss: 2.7286 2022/08/14 22:51:13 - mmengine - INFO - Epoch(train) [93][3100/3757] lr: 7.1378e-02 eta: 2 days, 20:06:25 time: 0.4006 data_time: 0.0158 memory: 13431 grad_norm: 2.6391 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.5887 loss: 2.5887 2022/08/14 22:51:54 - mmengine - INFO - Epoch(train) [93][3200/3757] lr: 7.1378e-02 eta: 2 days, 20:05:46 time: 0.4006 data_time: 0.0143 memory: 13431 grad_norm: 2.6063 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7934 loss: 2.7934 2022/08/14 22:52:34 - mmengine - INFO - Epoch(train) [93][3300/3757] lr: 7.1378e-02 eta: 2 days, 20:05:06 time: 0.4000 data_time: 0.0156 memory: 13431 grad_norm: 2.6296 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7881 loss: 2.7881 2022/08/14 22:52:56 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 22:53:14 - mmengine - INFO - Epoch(train) [93][3400/3757] lr: 7.1378e-02 eta: 2 days, 20:04:26 time: 0.4014 data_time: 0.0152 memory: 13431 grad_norm: 2.6094 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8544 loss: 2.8544 2022/08/14 22:53:54 - mmengine - INFO - Epoch(train) [93][3500/3757] lr: 7.1378e-02 eta: 2 days, 20:03:47 time: 0.4007 data_time: 0.0145 memory: 13431 grad_norm: 2.5916 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9750 loss: 2.9750 2022/08/14 22:54:35 - mmengine - INFO - Epoch(train) [93][3600/3757] lr: 7.1378e-02 eta: 2 days, 20:03:07 time: 0.4001 data_time: 0.0159 memory: 13431 grad_norm: 2.6487 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0144 loss: 3.0144 2022/08/14 22:55:15 - mmengine - INFO - Epoch(train) [93][3700/3757] lr: 7.1378e-02 eta: 2 days, 20:02:28 time: 0.4008 data_time: 0.0148 memory: 13431 grad_norm: 2.6447 top1_acc: 0.0000 top5_acc: 0.7500 loss_cls: 2.7841 loss: 2.7841 2022/08/14 22:55:38 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 22:55:38 - mmengine - INFO - Epoch(train) [93][3757/3757] lr: 7.1378e-02 eta: 2 days, 20:02:12 time: 0.3901 data_time: 0.0143 memory: 13431 grad_norm: 2.6076 top1_acc: 0.1429 top5_acc: 0.4286 loss_cls: 2.8959 loss: 2.8959 2022/08/14 22:56:21 - mmengine - INFO - Epoch(train) [94][100/3757] lr: 7.0821e-02 eta: 2 days, 20:01:18 time: 0.4105 data_time: 0.0163 memory: 13431 grad_norm: 2.6262 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8777 loss: 2.8777 2022/08/14 22:57:01 - mmengine - INFO - Epoch(train) [94][200/3757] lr: 7.0821e-02 eta: 2 days, 20:00:39 time: 0.3980 data_time: 0.0142 memory: 13431 grad_norm: 2.5526 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3581 loss: 2.3581 2022/08/14 22:57:42 - mmengine - INFO - Epoch(train) [94][300/3757] lr: 7.0821e-02 eta: 2 days, 19:59:59 time: 0.3998 data_time: 0.0144 memory: 13431 grad_norm: 2.5664 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7069 loss: 2.7069 2022/08/14 22:58:22 - mmengine - INFO - Epoch(train) [94][400/3757] lr: 7.0821e-02 eta: 2 days, 19:59:19 time: 0.4025 data_time: 0.0156 memory: 13431 grad_norm: 2.6389 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8612 loss: 2.8612 2022/08/14 22:59:02 - mmengine - INFO - Epoch(train) [94][500/3757] lr: 7.0821e-02 eta: 2 days, 19:58:40 time: 0.3995 data_time: 0.0159 memory: 13431 grad_norm: 2.6251 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7753 loss: 2.7753 2022/08/14 22:59:42 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 22:59:43 - mmengine - INFO - Epoch(train) [94][600/3757] lr: 7.0821e-02 eta: 2 days, 19:58:00 time: 0.4001 data_time: 0.0137 memory: 13431 grad_norm: 2.6472 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9633 loss: 2.9633 2022/08/14 23:00:23 - mmengine - INFO - Epoch(train) [94][700/3757] lr: 7.0821e-02 eta: 2 days, 19:57:21 time: 0.3991 data_time: 0.0137 memory: 13431 grad_norm: 2.6871 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3325 loss: 2.3325 2022/08/14 23:01:03 - mmengine - INFO - Epoch(train) [94][800/3757] lr: 7.0821e-02 eta: 2 days, 19:56:42 time: 0.4028 data_time: 0.0141 memory: 13431 grad_norm: 2.7135 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.4285 loss: 2.4285 2022/08/14 23:01:44 - mmengine - INFO - Epoch(train) [94][900/3757] lr: 7.0821e-02 eta: 2 days, 19:56:02 time: 0.4008 data_time: 0.0161 memory: 13431 grad_norm: 2.6353 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7696 loss: 2.7696 2022/08/14 23:02:24 - mmengine - INFO - Epoch(train) [94][1000/3757] lr: 7.0821e-02 eta: 2 days, 19:55:22 time: 0.4000 data_time: 0.0142 memory: 13431 grad_norm: 2.5994 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2242 loss: 3.2242 2022/08/14 23:03:04 - mmengine - INFO - Epoch(train) [94][1100/3757] lr: 7.0821e-02 eta: 2 days, 19:54:42 time: 0.4007 data_time: 0.0170 memory: 13431 grad_norm: 2.5805 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8854 loss: 2.8854 2022/08/14 23:03:44 - mmengine - INFO - Epoch(train) [94][1200/3757] lr: 7.0821e-02 eta: 2 days, 19:54:03 time: 0.4020 data_time: 0.0152 memory: 13431 grad_norm: 2.6252 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6914 loss: 2.6914 2022/08/14 23:04:25 - mmengine - INFO - Epoch(train) [94][1300/3757] lr: 7.0821e-02 eta: 2 days, 19:53:23 time: 0.3995 data_time: 0.0147 memory: 13431 grad_norm: 2.4839 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7729 loss: 2.7729 2022/08/14 23:05:05 - mmengine - INFO - Epoch(train) [94][1400/3757] lr: 7.0821e-02 eta: 2 days, 19:52:44 time: 0.3979 data_time: 0.0156 memory: 13431 grad_norm: 2.6137 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6178 loss: 2.6178 2022/08/14 23:05:46 - mmengine - INFO - Epoch(train) [94][1500/3757] lr: 7.0821e-02 eta: 2 days, 19:52:05 time: 0.4082 data_time: 0.0152 memory: 13431 grad_norm: 2.6211 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8796 loss: 2.8796 2022/08/14 23:06:26 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 23:06:26 - mmengine - INFO - Epoch(train) [94][1600/3757] lr: 7.0821e-02 eta: 2 days, 19:51:25 time: 0.3997 data_time: 0.0151 memory: 13431 grad_norm: 2.6457 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8250 loss: 2.8250 2022/08/14 23:07:07 - mmengine - INFO - Epoch(train) [94][1700/3757] lr: 7.0821e-02 eta: 2 days, 19:50:45 time: 0.3994 data_time: 0.0144 memory: 13431 grad_norm: 2.6016 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9416 loss: 2.9416 2022/08/14 23:07:47 - mmengine - INFO - Epoch(train) [94][1800/3757] lr: 7.0821e-02 eta: 2 days, 19:50:06 time: 0.4019 data_time: 0.0148 memory: 13431 grad_norm: 2.6377 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9329 loss: 2.9329 2022/08/14 23:08:27 - mmengine - INFO - Epoch(train) [94][1900/3757] lr: 7.0821e-02 eta: 2 days, 19:49:26 time: 0.3999 data_time: 0.0154 memory: 13431 grad_norm: 2.6231 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.9641 loss: 2.9641 2022/08/14 23:09:08 - mmengine - INFO - Epoch(train) [94][2000/3757] lr: 7.0821e-02 eta: 2 days, 19:48:47 time: 0.4006 data_time: 0.0157 memory: 13431 grad_norm: 2.6117 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0173 loss: 3.0173 2022/08/14 23:09:48 - mmengine - INFO - Epoch(train) [94][2100/3757] lr: 7.0821e-02 eta: 2 days, 19:48:07 time: 0.4010 data_time: 0.0150 memory: 13431 grad_norm: 2.6648 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8624 loss: 2.8624 2022/08/14 23:10:28 - mmengine - INFO - Epoch(train) [94][2200/3757] lr: 7.0821e-02 eta: 2 days, 19:47:28 time: 0.4086 data_time: 0.0152 memory: 13431 grad_norm: 2.5280 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9536 loss: 2.9536 2022/08/14 23:11:09 - mmengine - INFO - Epoch(train) [94][2300/3757] lr: 7.0821e-02 eta: 2 days, 19:46:49 time: 0.4057 data_time: 0.0166 memory: 13431 grad_norm: 2.5623 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.7549 loss: 2.7549 2022/08/14 23:11:49 - mmengine - INFO - Epoch(train) [94][2400/3757] lr: 7.0821e-02 eta: 2 days, 19:46:09 time: 0.4047 data_time: 0.0141 memory: 13431 grad_norm: 2.5633 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.7428 loss: 2.7428 2022/08/14 23:12:30 - mmengine - INFO - Epoch(train) [94][2500/3757] lr: 7.0821e-02 eta: 2 days, 19:45:30 time: 0.4056 data_time: 0.0155 memory: 13431 grad_norm: 2.6452 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0150 loss: 3.0150 2022/08/14 23:13:11 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 23:13:11 - mmengine - INFO - Epoch(train) [94][2600/3757] lr: 7.0821e-02 eta: 2 days, 19:44:51 time: 0.4296 data_time: 0.0154 memory: 13431 grad_norm: 2.5889 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9131 loss: 2.9131 2022/08/14 23:13:51 - mmengine - INFO - Epoch(train) [94][2700/3757] lr: 7.0821e-02 eta: 2 days, 19:44:12 time: 0.3987 data_time: 0.0155 memory: 13431 grad_norm: 2.5338 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5459 loss: 2.5459 2022/08/14 23:14:32 - mmengine - INFO - Epoch(train) [94][2800/3757] lr: 7.0821e-02 eta: 2 days, 19:43:33 time: 0.4068 data_time: 0.0157 memory: 13431 grad_norm: 2.6765 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7482 loss: 2.7482 2022/08/14 23:15:12 - mmengine - INFO - Epoch(train) [94][2900/3757] lr: 7.0821e-02 eta: 2 days, 19:42:53 time: 0.4074 data_time: 0.0158 memory: 13431 grad_norm: 2.5714 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8139 loss: 2.8139 2022/08/14 23:15:52 - mmengine - INFO - Epoch(train) [94][3000/3757] lr: 7.0821e-02 eta: 2 days, 19:42:13 time: 0.4013 data_time: 0.0159 memory: 13431 grad_norm: 2.6758 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7939 loss: 2.7939 2022/08/14 23:16:33 - mmengine - INFO - Epoch(train) [94][3100/3757] lr: 7.0821e-02 eta: 2 days, 19:41:34 time: 0.4009 data_time: 0.0153 memory: 13431 grad_norm: 2.5818 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7797 loss: 2.7797 2022/08/14 23:17:13 - mmengine - INFO - Epoch(train) [94][3200/3757] lr: 7.0821e-02 eta: 2 days, 19:40:54 time: 0.3988 data_time: 0.0152 memory: 13431 grad_norm: 2.6569 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6340 loss: 2.6340 2022/08/14 23:17:54 - mmengine - INFO - Epoch(train) [94][3300/3757] lr: 7.0821e-02 eta: 2 days, 19:40:15 time: 0.4007 data_time: 0.0160 memory: 13431 grad_norm: 2.5636 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.7611 loss: 2.7611 2022/08/14 23:18:34 - mmengine - INFO - Epoch(train) [94][3400/3757] lr: 7.0821e-02 eta: 2 days, 19:39:35 time: 0.3989 data_time: 0.0142 memory: 13431 grad_norm: 2.7291 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7545 loss: 2.7545 2022/08/14 23:19:14 - mmengine - INFO - Epoch(train) [94][3500/3757] lr: 7.0821e-02 eta: 2 days, 19:38:56 time: 0.4002 data_time: 0.0142 memory: 13431 grad_norm: 2.5042 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.9431 loss: 2.9431 2022/08/14 23:19:54 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 23:19:55 - mmengine - INFO - Epoch(train) [94][3600/3757] lr: 7.0821e-02 eta: 2 days, 19:38:16 time: 0.3994 data_time: 0.0143 memory: 13431 grad_norm: 2.6021 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9659 loss: 2.9659 2022/08/14 23:20:35 - mmengine - INFO - Epoch(train) [94][3700/3757] lr: 7.0821e-02 eta: 2 days, 19:37:37 time: 0.3995 data_time: 0.0144 memory: 13431 grad_norm: 2.6916 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6469 loss: 2.6469 2022/08/14 23:20:58 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 23:20:58 - mmengine - INFO - Epoch(train) [94][3757/3757] lr: 7.0821e-02 eta: 2 days, 19:37:21 time: 0.3891 data_time: 0.0150 memory: 13431 grad_norm: 2.5314 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 3.1566 loss: 3.1566 2022/08/14 23:21:40 - mmengine - INFO - Epoch(train) [95][100/3757] lr: 7.0262e-02 eta: 2 days, 19:36:26 time: 0.4014 data_time: 0.0153 memory: 13431 grad_norm: 2.6388 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.9294 loss: 2.9294 2022/08/14 23:22:21 - mmengine - INFO - Epoch(train) [95][200/3757] lr: 7.0262e-02 eta: 2 days, 19:35:47 time: 0.4058 data_time: 0.0159 memory: 13431 grad_norm: 2.5257 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6792 loss: 2.6792 2022/08/14 23:23:01 - mmengine - INFO - Epoch(train) [95][300/3757] lr: 7.0262e-02 eta: 2 days, 19:35:07 time: 0.4004 data_time: 0.0155 memory: 13431 grad_norm: 2.6090 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6979 loss: 2.6979 2022/08/14 23:23:41 - mmengine - INFO - Epoch(train) [95][400/3757] lr: 7.0262e-02 eta: 2 days, 19:34:28 time: 0.4062 data_time: 0.0165 memory: 13431 grad_norm: 2.6168 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8255 loss: 2.8255 2022/08/14 23:24:22 - mmengine - INFO - Epoch(train) [95][500/3757] lr: 7.0262e-02 eta: 2 days, 19:33:48 time: 0.4106 data_time: 0.0148 memory: 13431 grad_norm: 2.6086 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0568 loss: 3.0568 2022/08/14 23:25:02 - mmengine - INFO - Epoch(train) [95][600/3757] lr: 7.0262e-02 eta: 2 days, 19:33:09 time: 0.4012 data_time: 0.0157 memory: 13431 grad_norm: 2.7002 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4904 loss: 2.4904 2022/08/14 23:25:43 - mmengine - INFO - Epoch(train) [95][700/3757] lr: 7.0262e-02 eta: 2 days, 19:32:29 time: 0.4012 data_time: 0.0150 memory: 13431 grad_norm: 2.5949 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.7978 loss: 2.7978 2022/08/14 23:26:23 - mmengine - INFO - Epoch(train) [95][800/3757] lr: 7.0262e-02 eta: 2 days, 19:31:49 time: 0.4001 data_time: 0.0148 memory: 13431 grad_norm: 2.6146 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6550 loss: 2.6550 2022/08/14 23:26:40 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 23:27:03 - mmengine - INFO - Epoch(train) [95][900/3757] lr: 7.0262e-02 eta: 2 days, 19:31:10 time: 0.4016 data_time: 0.0150 memory: 13431 grad_norm: 2.6930 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.5542 loss: 2.5542 2022/08/14 23:27:44 - mmengine - INFO - Epoch(train) [95][1000/3757] lr: 7.0262e-02 eta: 2 days, 19:30:30 time: 0.4034 data_time: 0.0146 memory: 13431 grad_norm: 2.5532 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5219 loss: 2.5219 2022/08/14 23:28:24 - mmengine - INFO - Epoch(train) [95][1100/3757] lr: 7.0262e-02 eta: 2 days, 19:29:51 time: 0.3999 data_time: 0.0166 memory: 13431 grad_norm: 2.6575 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0606 loss: 3.0606 2022/08/14 23:29:04 - mmengine - INFO - Epoch(train) [95][1200/3757] lr: 7.0262e-02 eta: 2 days, 19:29:11 time: 0.4092 data_time: 0.0162 memory: 13431 grad_norm: 2.6268 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9565 loss: 2.9565 2022/08/14 23:29:45 - mmengine - INFO - Epoch(train) [95][1300/3757] lr: 7.0262e-02 eta: 2 days, 19:28:32 time: 0.3994 data_time: 0.0147 memory: 13431 grad_norm: 2.6802 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7680 loss: 2.7680 2022/08/14 23:30:25 - mmengine - INFO - Epoch(train) [95][1400/3757] lr: 7.0262e-02 eta: 2 days, 19:27:52 time: 0.3980 data_time: 0.0146 memory: 13431 grad_norm: 2.5366 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8384 loss: 2.8384 2022/08/14 23:31:05 - mmengine - INFO - Epoch(train) [95][1500/3757] lr: 7.0262e-02 eta: 2 days, 19:27:12 time: 0.3997 data_time: 0.0140 memory: 13431 grad_norm: 2.6921 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8960 loss: 2.8960 2022/08/14 23:31:46 - mmengine - INFO - Epoch(train) [95][1600/3757] lr: 7.0262e-02 eta: 2 days, 19:26:33 time: 0.4076 data_time: 0.0151 memory: 13431 grad_norm: 2.6362 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8047 loss: 2.8047 2022/08/14 23:32:26 - mmengine - INFO - Epoch(train) [95][1700/3757] lr: 7.0262e-02 eta: 2 days, 19:25:53 time: 0.4055 data_time: 0.0146 memory: 13431 grad_norm: 2.5987 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5915 loss: 2.5915 2022/08/14 23:33:07 - mmengine - INFO - Epoch(train) [95][1800/3757] lr: 7.0262e-02 eta: 2 days, 19:25:14 time: 0.3994 data_time: 0.0137 memory: 13431 grad_norm: 2.6895 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0963 loss: 3.0963 2022/08/14 23:33:24 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 23:33:47 - mmengine - INFO - Epoch(train) [95][1900/3757] lr: 7.0262e-02 eta: 2 days, 19:24:35 time: 0.4103 data_time: 0.0134 memory: 13431 grad_norm: 2.5625 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9523 loss: 2.9523 2022/08/14 23:34:28 - mmengine - INFO - Epoch(train) [95][2000/3757] lr: 7.0262e-02 eta: 2 days, 19:23:55 time: 0.4019 data_time: 0.0140 memory: 13431 grad_norm: 2.6208 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5533 loss: 2.5533 2022/08/14 23:35:08 - mmengine - INFO - Epoch(train) [95][2100/3757] lr: 7.0262e-02 eta: 2 days, 19:23:16 time: 0.3990 data_time: 0.0149 memory: 13431 grad_norm: 2.7100 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8143 loss: 2.8143 2022/08/14 23:35:48 - mmengine - INFO - Epoch(train) [95][2200/3757] lr: 7.0262e-02 eta: 2 days, 19:22:36 time: 0.4001 data_time: 0.0142 memory: 13431 grad_norm: 2.5742 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8918 loss: 2.8918 2022/08/14 23:36:28 - mmengine - INFO - Epoch(train) [95][2300/3757] lr: 7.0262e-02 eta: 2 days, 19:21:56 time: 0.4079 data_time: 0.0158 memory: 13431 grad_norm: 2.6831 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.9350 loss: 2.9350 2022/08/14 23:37:09 - mmengine - INFO - Epoch(train) [95][2400/3757] lr: 7.0262e-02 eta: 2 days, 19:21:17 time: 0.4042 data_time: 0.0142 memory: 13431 grad_norm: 2.6467 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0908 loss: 3.0908 2022/08/14 23:37:49 - mmengine - INFO - Epoch(train) [95][2500/3757] lr: 7.0262e-02 eta: 2 days, 19:20:37 time: 0.4002 data_time: 0.0152 memory: 13431 grad_norm: 2.5736 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8223 loss: 2.8223 2022/08/14 23:38:30 - mmengine - INFO - Epoch(train) [95][2600/3757] lr: 7.0262e-02 eta: 2 days, 19:19:58 time: 0.4116 data_time: 0.0143 memory: 13431 grad_norm: 2.5810 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6786 loss: 2.6786 2022/08/14 23:39:10 - mmengine - INFO - Epoch(train) [95][2700/3757] lr: 7.0262e-02 eta: 2 days, 19:19:18 time: 0.4031 data_time: 0.0150 memory: 13431 grad_norm: 2.6358 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1354 loss: 3.1354 2022/08/14 23:39:50 - mmengine - INFO - Epoch(train) [95][2800/3757] lr: 7.0262e-02 eta: 2 days, 19:18:39 time: 0.4043 data_time: 0.0149 memory: 13431 grad_norm: 2.6428 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7377 loss: 2.7377 2022/08/14 23:40:07 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 23:40:31 - mmengine - INFO - Epoch(train) [95][2900/3757] lr: 7.0262e-02 eta: 2 days, 19:17:59 time: 0.4027 data_time: 0.0154 memory: 13431 grad_norm: 2.6657 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4070 loss: 2.4070 2022/08/14 23:41:11 - mmengine - INFO - Epoch(train) [95][3000/3757] lr: 7.0262e-02 eta: 2 days, 19:17:19 time: 0.4050 data_time: 0.0146 memory: 13431 grad_norm: 2.6349 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8088 loss: 2.8088 2022/08/14 23:41:52 - mmengine - INFO - Epoch(train) [95][3100/3757] lr: 7.0262e-02 eta: 2 days, 19:16:40 time: 0.4069 data_time: 0.0150 memory: 13431 grad_norm: 2.6497 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9553 loss: 2.9553 2022/08/14 23:42:32 - mmengine - INFO - Epoch(train) [95][3200/3757] lr: 7.0262e-02 eta: 2 days, 19:16:00 time: 0.4011 data_time: 0.0157 memory: 13431 grad_norm: 2.6435 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8313 loss: 2.8313 2022/08/14 23:43:12 - mmengine - INFO - Epoch(train) [95][3300/3757] lr: 7.0262e-02 eta: 2 days, 19:15:21 time: 0.4112 data_time: 0.0153 memory: 13431 grad_norm: 2.6532 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6440 loss: 2.6440 2022/08/14 23:43:53 - mmengine - INFO - Epoch(train) [95][3400/3757] lr: 7.0262e-02 eta: 2 days, 19:14:42 time: 0.4027 data_time: 0.0148 memory: 13431 grad_norm: 2.6258 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7888 loss: 2.7888 2022/08/14 23:44:33 - mmengine - INFO - Epoch(train) [95][3500/3757] lr: 7.0262e-02 eta: 2 days, 19:14:02 time: 0.3993 data_time: 0.0153 memory: 13431 grad_norm: 2.5525 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 3.0393 loss: 3.0393 2022/08/14 23:45:13 - mmengine - INFO - Epoch(train) [95][3600/3757] lr: 7.0262e-02 eta: 2 days, 19:13:22 time: 0.3988 data_time: 0.0141 memory: 13431 grad_norm: 2.5722 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.8991 loss: 2.8991 2022/08/14 23:45:53 - mmengine - INFO - Epoch(train) [95][3700/3757] lr: 7.0262e-02 eta: 2 days, 19:12:42 time: 0.4049 data_time: 0.0149 memory: 13431 grad_norm: 2.5518 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7720 loss: 2.7720 2022/08/14 23:46:16 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 23:46:16 - mmengine - INFO - Epoch(train) [95][3757/3757] lr: 7.0262e-02 eta: 2 days, 19:12:27 time: 0.3873 data_time: 0.0133 memory: 13431 grad_norm: 2.6279 top1_acc: 0.2857 top5_acc: 0.2857 loss_cls: 2.7605 loss: 2.7605 2022/08/14 23:46:38 - mmengine - INFO - Epoch(val) [95][100/310] eta: 0:00:46 time: 0.2226 data_time: 0.0921 memory: 1974 2022/08/14 23:47:00 - mmengine - INFO - Epoch(val) [95][200/310] eta: 0:00:20 time: 0.1901 data_time: 0.0542 memory: 1974 2022/08/14 23:47:20 - mmengine - INFO - Epoch(val) [95][300/310] eta: 0:00:02 time: 0.2031 data_time: 0.0692 memory: 1974 2022/08/14 23:47:25 - mmengine - INFO - Epoch(val) [95][310/310] acc/top1: 0.4305 acc/top5: 0.7088 acc/mean1: 0.4304 2022/08/14 23:48:01 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 23:48:07 - mmengine - INFO - Epoch(train) [96][100/3757] lr: 6.9700e-02 eta: 2 days, 19:11:31 time: 0.3996 data_time: 0.0149 memory: 13431 grad_norm: 2.6155 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8946 loss: 2.8946 2022/08/14 23:48:47 - mmengine - INFO - Epoch(train) [96][200/3757] lr: 6.9700e-02 eta: 2 days, 19:10:52 time: 0.3976 data_time: 0.0148 memory: 13431 grad_norm: 2.6854 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5211 loss: 2.5211 2022/08/14 23:49:28 - mmengine - INFO - Epoch(train) [96][300/3757] lr: 6.9700e-02 eta: 2 days, 19:10:12 time: 0.3987 data_time: 0.0141 memory: 13431 grad_norm: 2.5911 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7286 loss: 2.7286 2022/08/14 23:50:08 - mmengine - INFO - Epoch(train) [96][400/3757] lr: 6.9700e-02 eta: 2 days, 19:09:33 time: 0.4011 data_time: 0.0144 memory: 13431 grad_norm: 2.5945 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6699 loss: 2.6699 2022/08/14 23:50:48 - mmengine - INFO - Epoch(train) [96][500/3757] lr: 6.9700e-02 eta: 2 days, 19:08:53 time: 0.3995 data_time: 0.0157 memory: 13431 grad_norm: 2.6519 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1202 loss: 3.1202 2022/08/14 23:51:29 - mmengine - INFO - Epoch(train) [96][600/3757] lr: 6.9700e-02 eta: 2 days, 19:08:14 time: 0.4003 data_time: 0.0147 memory: 13431 grad_norm: 2.5486 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7646 loss: 2.7646 2022/08/14 23:52:09 - mmengine - INFO - Epoch(train) [96][700/3757] lr: 6.9700e-02 eta: 2 days, 19:07:34 time: 0.4102 data_time: 0.0155 memory: 13431 grad_norm: 2.5702 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.6897 loss: 2.6897 2022/08/14 23:52:50 - mmengine - INFO - Epoch(train) [96][800/3757] lr: 6.9700e-02 eta: 2 days, 19:06:55 time: 0.4019 data_time: 0.0163 memory: 13431 grad_norm: 2.6384 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9668 loss: 2.9668 2022/08/14 23:53:30 - mmengine - INFO - Epoch(train) [96][900/3757] lr: 6.9700e-02 eta: 2 days, 19:06:16 time: 0.4007 data_time: 0.0145 memory: 13431 grad_norm: 2.5450 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9701 loss: 2.9701 2022/08/14 23:54:10 - mmengine - INFO - Epoch(train) [96][1000/3757] lr: 6.9700e-02 eta: 2 days, 19:05:36 time: 0.4010 data_time: 0.0151 memory: 13431 grad_norm: 2.6798 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6843 loss: 2.6843 2022/08/14 23:54:45 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/14 23:54:51 - mmengine - INFO - Epoch(train) [96][1100/3757] lr: 6.9700e-02 eta: 2 days, 19:04:56 time: 0.4071 data_time: 0.0154 memory: 13431 grad_norm: 2.6720 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1345 loss: 3.1345 2022/08/14 23:55:31 - mmengine - INFO - Epoch(train) [96][1200/3757] lr: 6.9700e-02 eta: 2 days, 19:04:16 time: 0.4021 data_time: 0.0148 memory: 13431 grad_norm: 2.5951 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.9058 loss: 2.9058 2022/08/14 23:56:11 - mmengine - INFO - Epoch(train) [96][1300/3757] lr: 6.9700e-02 eta: 2 days, 19:03:37 time: 0.4019 data_time: 0.0139 memory: 13431 grad_norm: 2.5615 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8451 loss: 2.8451 2022/08/14 23:56:52 - mmengine - INFO - Epoch(train) [96][1400/3757] lr: 6.9700e-02 eta: 2 days, 19:02:58 time: 0.3997 data_time: 0.0142 memory: 13431 grad_norm: 2.5646 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0161 loss: 3.0161 2022/08/14 23:57:32 - mmengine - INFO - Epoch(train) [96][1500/3757] lr: 6.9700e-02 eta: 2 days, 19:02:18 time: 0.4007 data_time: 0.0159 memory: 13431 grad_norm: 2.6131 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6079 loss: 2.6079 2022/08/14 23:58:13 - mmengine - INFO - Epoch(train) [96][1600/3757] lr: 6.9700e-02 eta: 2 days, 19:01:38 time: 0.4017 data_time: 0.0154 memory: 13431 grad_norm: 2.6244 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8442 loss: 2.8442 2022/08/14 23:58:53 - mmengine - INFO - Epoch(train) [96][1700/3757] lr: 6.9700e-02 eta: 2 days, 19:00:59 time: 0.4011 data_time: 0.0148 memory: 13431 grad_norm: 2.6733 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0018 loss: 3.0018 2022/08/14 23:59:33 - mmengine - INFO - Epoch(train) [96][1800/3757] lr: 6.9700e-02 eta: 2 days, 19:00:19 time: 0.4070 data_time: 0.0149 memory: 13431 grad_norm: 2.6678 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.5960 loss: 2.5960 2022/08/15 00:00:18 - mmengine - INFO - Epoch(train) [96][1900/3757] lr: 6.9700e-02 eta: 2 days, 18:59:47 time: 0.3977 data_time: 0.0139 memory: 13431 grad_norm: 2.6659 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5903 loss: 2.5903 2022/08/15 00:00:59 - mmengine - INFO - Epoch(train) [96][2000/3757] lr: 6.9700e-02 eta: 2 days, 18:59:08 time: 0.4032 data_time: 0.0143 memory: 13431 grad_norm: 2.6634 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7772 loss: 2.7772 2022/08/15 00:01:33 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 00:01:39 - mmengine - INFO - Epoch(train) [96][2100/3757] lr: 6.9700e-02 eta: 2 days, 18:58:28 time: 0.4011 data_time: 0.0144 memory: 13431 grad_norm: 2.5173 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5442 loss: 2.5442 2022/08/15 00:02:19 - mmengine - INFO - Epoch(train) [96][2200/3757] lr: 6.9700e-02 eta: 2 days, 18:57:48 time: 0.4002 data_time: 0.0136 memory: 13431 grad_norm: 2.6541 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7349 loss: 2.7349 2022/08/15 00:02:59 - mmengine - INFO - Epoch(train) [96][2300/3757] lr: 6.9700e-02 eta: 2 days, 18:57:09 time: 0.4006 data_time: 0.0145 memory: 13431 grad_norm: 2.5674 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.6919 loss: 2.6919 2022/08/15 00:03:40 - mmengine - INFO - Epoch(train) [96][2400/3757] lr: 6.9700e-02 eta: 2 days, 18:56:29 time: 0.3995 data_time: 0.0155 memory: 13431 grad_norm: 2.6153 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.7959 loss: 2.7959 2022/08/15 00:04:20 - mmengine - INFO - Epoch(train) [96][2500/3757] lr: 6.9700e-02 eta: 2 days, 18:55:49 time: 0.4016 data_time: 0.0154 memory: 13431 grad_norm: 2.6665 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7814 loss: 2.7814 2022/08/15 00:05:00 - mmengine - INFO - Epoch(train) [96][2600/3757] lr: 6.9700e-02 eta: 2 days, 18:55:10 time: 0.4007 data_time: 0.0153 memory: 13431 grad_norm: 2.5927 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3576 loss: 2.3576 2022/08/15 00:05:41 - mmengine - INFO - Epoch(train) [96][2700/3757] lr: 6.9700e-02 eta: 2 days, 18:54:30 time: 0.4029 data_time: 0.0166 memory: 13431 grad_norm: 2.5631 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9622 loss: 2.9622 2022/08/15 00:06:21 - mmengine - INFO - Epoch(train) [96][2800/3757] lr: 6.9700e-02 eta: 2 days, 18:53:50 time: 0.3994 data_time: 0.0156 memory: 13431 grad_norm: 2.6976 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5947 loss: 2.5947 2022/08/15 00:07:02 - mmengine - INFO - Epoch(train) [96][2900/3757] lr: 6.9700e-02 eta: 2 days, 18:53:11 time: 0.4009 data_time: 0.0159 memory: 13431 grad_norm: 2.6529 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7229 loss: 2.7229 2022/08/15 00:07:42 - mmengine - INFO - Epoch(train) [96][3000/3757] lr: 6.9700e-02 eta: 2 days, 18:52:32 time: 0.4021 data_time: 0.0151 memory: 13431 grad_norm: 2.6815 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0765 loss: 3.0765 2022/08/15 00:08:16 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 00:08:22 - mmengine - INFO - Epoch(train) [96][3100/3757] lr: 6.9700e-02 eta: 2 days, 18:51:52 time: 0.3993 data_time: 0.0148 memory: 13431 grad_norm: 2.6381 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8343 loss: 2.8343 2022/08/15 00:09:03 - mmengine - INFO - Epoch(train) [96][3200/3757] lr: 6.9700e-02 eta: 2 days, 18:51:12 time: 0.4018 data_time: 0.0153 memory: 13431 grad_norm: 2.5955 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8259 loss: 2.8259 2022/08/15 00:09:43 - mmengine - INFO - Epoch(train) [96][3300/3757] lr: 6.9700e-02 eta: 2 days, 18:50:33 time: 0.4004 data_time: 0.0147 memory: 13431 grad_norm: 2.7052 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0523 loss: 3.0523 2022/08/15 00:10:23 - mmengine - INFO - Epoch(train) [96][3400/3757] lr: 6.9700e-02 eta: 2 days, 18:49:53 time: 0.4044 data_time: 0.0142 memory: 13431 grad_norm: 2.5984 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8587 loss: 2.8587 2022/08/15 00:11:04 - mmengine - INFO - Epoch(train) [96][3500/3757] lr: 6.9700e-02 eta: 2 days, 18:49:14 time: 0.3999 data_time: 0.0145 memory: 13431 grad_norm: 2.5706 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5415 loss: 2.5415 2022/08/15 00:11:44 - mmengine - INFO - Epoch(train) [96][3600/3757] lr: 6.9700e-02 eta: 2 days, 18:48:34 time: 0.4007 data_time: 0.0165 memory: 13431 grad_norm: 2.6110 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9318 loss: 2.9318 2022/08/15 00:12:24 - mmengine - INFO - Epoch(train) [96][3700/3757] lr: 6.9700e-02 eta: 2 days, 18:47:54 time: 0.3998 data_time: 0.0142 memory: 13431 grad_norm: 2.5918 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8202 loss: 2.8202 2022/08/15 00:12:47 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 00:12:47 - mmengine - INFO - Epoch(train) [96][3757/3757] lr: 6.9700e-02 eta: 2 days, 18:47:38 time: 0.3866 data_time: 0.0136 memory: 13431 grad_norm: 2.6505 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 2.6851 loss: 2.6851 2022/08/15 00:12:47 - mmengine - INFO - Saving checkpoint at 96 epochs 2022/08/15 00:13:34 - mmengine - INFO - Epoch(train) [97][100/3757] lr: 6.9134e-02 eta: 2 days, 18:46:42 time: 0.3990 data_time: 0.0142 memory: 13431 grad_norm: 2.6464 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4267 loss: 2.4267 2022/08/15 00:14:14 - mmengine - INFO - Epoch(train) [97][200/3757] lr: 6.9134e-02 eta: 2 days, 18:46:02 time: 0.4012 data_time: 0.0163 memory: 13431 grad_norm: 2.6034 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8316 loss: 2.8316 2022/08/15 00:14:55 - mmengine - INFO - Epoch(train) [97][300/3757] lr: 6.9134e-02 eta: 2 days, 18:45:23 time: 0.4089 data_time: 0.0144 memory: 13431 grad_norm: 2.5959 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6866 loss: 2.6866 2022/08/15 00:15:06 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 00:15:35 - mmengine - INFO - Epoch(train) [97][400/3757] lr: 6.9134e-02 eta: 2 days, 18:44:43 time: 0.3991 data_time: 0.0140 memory: 13431 grad_norm: 2.6812 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7396 loss: 2.7396 2022/08/15 00:16:16 - mmengine - INFO - Epoch(train) [97][500/3757] lr: 6.9134e-02 eta: 2 days, 18:44:04 time: 0.4098 data_time: 0.0157 memory: 13431 grad_norm: 2.6424 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9344 loss: 2.9344 2022/08/15 00:16:56 - mmengine - INFO - Epoch(train) [97][600/3757] lr: 6.9134e-02 eta: 2 days, 18:43:25 time: 0.4062 data_time: 0.0152 memory: 13431 grad_norm: 2.6607 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9259 loss: 2.9259 2022/08/15 00:17:36 - mmengine - INFO - Epoch(train) [97][700/3757] lr: 6.9134e-02 eta: 2 days, 18:42:45 time: 0.4013 data_time: 0.0151 memory: 13431 grad_norm: 2.6183 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0523 loss: 3.0523 2022/08/15 00:18:17 - mmengine - INFO - Epoch(train) [97][800/3757] lr: 6.9134e-02 eta: 2 days, 18:42:05 time: 0.4017 data_time: 0.0153 memory: 13431 grad_norm: 2.5634 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.8870 loss: 2.8870 2022/08/15 00:18:57 - mmengine - INFO - Epoch(train) [97][900/3757] lr: 6.9134e-02 eta: 2 days, 18:41:26 time: 0.4010 data_time: 0.0145 memory: 13431 grad_norm: 2.6508 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6443 loss: 2.6443 2022/08/15 00:19:37 - mmengine - INFO - Epoch(train) [97][1000/3757] lr: 6.9134e-02 eta: 2 days, 18:40:46 time: 0.4078 data_time: 0.0154 memory: 13431 grad_norm: 2.5655 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8377 loss: 2.8377 2022/08/15 00:20:18 - mmengine - INFO - Epoch(train) [97][1100/3757] lr: 6.9134e-02 eta: 2 days, 18:40:07 time: 0.4007 data_time: 0.0148 memory: 13431 grad_norm: 2.4755 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.7805 loss: 2.7805 2022/08/15 00:20:58 - mmengine - INFO - Epoch(train) [97][1200/3757] lr: 6.9134e-02 eta: 2 days, 18:39:27 time: 0.4015 data_time: 0.0159 memory: 13431 grad_norm: 2.5798 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7840 loss: 2.7840 2022/08/15 00:21:38 - mmengine - INFO - Epoch(train) [97][1300/3757] lr: 6.9134e-02 eta: 2 days, 18:38:47 time: 0.4024 data_time: 0.0166 memory: 13431 grad_norm: 2.6303 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7329 loss: 2.7329 2022/08/15 00:21:50 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 00:22:19 - mmengine - INFO - Epoch(train) [97][1400/3757] lr: 6.9134e-02 eta: 2 days, 18:38:08 time: 0.4044 data_time: 0.0156 memory: 13431 grad_norm: 2.6040 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7314 loss: 2.7314 2022/08/15 00:22:59 - mmengine - INFO - Epoch(train) [97][1500/3757] lr: 6.9134e-02 eta: 2 days, 18:37:28 time: 0.3998 data_time: 0.0149 memory: 13431 grad_norm: 2.7605 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8274 loss: 2.8274 2022/08/15 00:23:39 - mmengine - INFO - Epoch(train) [97][1600/3757] lr: 6.9134e-02 eta: 2 days, 18:36:48 time: 0.4005 data_time: 0.0147 memory: 13431 grad_norm: 2.7288 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6519 loss: 2.6519 2022/08/15 00:24:20 - mmengine - INFO - Epoch(train) [97][1700/3757] lr: 6.9134e-02 eta: 2 days, 18:36:09 time: 0.4104 data_time: 0.0151 memory: 13431 grad_norm: 2.6811 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9716 loss: 2.9716 2022/08/15 00:25:00 - mmengine - INFO - Epoch(train) [97][1800/3757] lr: 6.9134e-02 eta: 2 days, 18:35:29 time: 0.4016 data_time: 0.0151 memory: 13431 grad_norm: 2.6005 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8360 loss: 2.8360 2022/08/15 00:25:41 - mmengine - INFO - Epoch(train) [97][1900/3757] lr: 6.9134e-02 eta: 2 days, 18:34:50 time: 0.4073 data_time: 0.0159 memory: 13431 grad_norm: 2.6128 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6552 loss: 2.6552 2022/08/15 00:26:21 - mmengine - INFO - Epoch(train) [97][2000/3757] lr: 6.9134e-02 eta: 2 days, 18:34:10 time: 0.4077 data_time: 0.0137 memory: 13431 grad_norm: 2.6647 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0098 loss: 3.0098 2022/08/15 00:27:01 - mmengine - INFO - Epoch(train) [97][2100/3757] lr: 6.9134e-02 eta: 2 days, 18:33:31 time: 0.4007 data_time: 0.0144 memory: 13431 grad_norm: 2.6253 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6055 loss: 2.6055 2022/08/15 00:27:42 - mmengine - INFO - Epoch(train) [97][2200/3757] lr: 6.9134e-02 eta: 2 days, 18:32:51 time: 0.3991 data_time: 0.0146 memory: 13431 grad_norm: 2.5878 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4429 loss: 2.4429 2022/08/15 00:28:22 - mmengine - INFO - Epoch(train) [97][2300/3757] lr: 6.9134e-02 eta: 2 days, 18:32:11 time: 0.4000 data_time: 0.0137 memory: 13431 grad_norm: 2.5951 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8036 loss: 2.8036 2022/08/15 00:28:33 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 00:29:02 - mmengine - INFO - Epoch(train) [97][2400/3757] lr: 6.9134e-02 eta: 2 days, 18:31:31 time: 0.4028 data_time: 0.0140 memory: 13431 grad_norm: 2.6696 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8584 loss: 2.8584 2022/08/15 00:29:42 - mmengine - INFO - Epoch(train) [97][2500/3757] lr: 6.9134e-02 eta: 2 days, 18:30:51 time: 0.3992 data_time: 0.0153 memory: 13431 grad_norm: 2.6136 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0087 loss: 3.0087 2022/08/15 00:30:22 - mmengine - INFO - Epoch(train) [97][2600/3757] lr: 6.9134e-02 eta: 2 days, 18:30:12 time: 0.4016 data_time: 0.0156 memory: 13431 grad_norm: 2.6402 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7509 loss: 2.7509 2022/08/15 00:31:03 - mmengine - INFO - Epoch(train) [97][2700/3757] lr: 6.9134e-02 eta: 2 days, 18:29:32 time: 0.4061 data_time: 0.0136 memory: 13431 grad_norm: 2.5870 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0613 loss: 3.0613 2022/08/15 00:31:43 - mmengine - INFO - Epoch(train) [97][2800/3757] lr: 6.9134e-02 eta: 2 days, 18:28:53 time: 0.3998 data_time: 0.0141 memory: 13431 grad_norm: 2.6022 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.9526 loss: 2.9526 2022/08/15 00:32:23 - mmengine - INFO - Epoch(train) [97][2900/3757] lr: 6.9134e-02 eta: 2 days, 18:28:13 time: 0.4016 data_time: 0.0160 memory: 13431 grad_norm: 2.6703 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8178 loss: 2.8178 2022/08/15 00:33:04 - mmengine - INFO - Epoch(train) [97][3000/3757] lr: 6.9134e-02 eta: 2 days, 18:27:33 time: 0.4012 data_time: 0.0147 memory: 13431 grad_norm: 2.6647 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6650 loss: 2.6650 2022/08/15 00:33:44 - mmengine - INFO - Epoch(train) [97][3100/3757] lr: 6.9134e-02 eta: 2 days, 18:26:53 time: 0.4003 data_time: 0.0150 memory: 13431 grad_norm: 2.7520 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8919 loss: 2.8919 2022/08/15 00:34:24 - mmengine - INFO - Epoch(train) [97][3200/3757] lr: 6.9134e-02 eta: 2 days, 18:26:14 time: 0.4080 data_time: 0.0155 memory: 13431 grad_norm: 2.5735 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6252 loss: 2.6252 2022/08/15 00:35:05 - mmengine - INFO - Epoch(train) [97][3300/3757] lr: 6.9134e-02 eta: 2 days, 18:25:34 time: 0.4011 data_time: 0.0150 memory: 13431 grad_norm: 2.6663 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6379 loss: 2.6379 2022/08/15 00:35:16 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 00:35:45 - mmengine - INFO - Epoch(train) [97][3400/3757] lr: 6.9134e-02 eta: 2 days, 18:24:55 time: 0.4073 data_time: 0.0169 memory: 13431 grad_norm: 2.5938 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8247 loss: 2.8247 2022/08/15 00:36:26 - mmengine - INFO - Epoch(train) [97][3500/3757] lr: 6.9134e-02 eta: 2 days, 18:24:15 time: 0.4002 data_time: 0.0151 memory: 13431 grad_norm: 2.5516 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7880 loss: 2.7880 2022/08/15 00:37:06 - mmengine - INFO - Epoch(train) [97][3600/3757] lr: 6.9134e-02 eta: 2 days, 18:23:36 time: 0.4028 data_time: 0.0154 memory: 13431 grad_norm: 2.6359 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6195 loss: 2.6195 2022/08/15 00:37:46 - mmengine - INFO - Epoch(train) [97][3700/3757] lr: 6.9134e-02 eta: 2 days, 18:22:56 time: 0.3998 data_time: 0.0140 memory: 13431 grad_norm: 2.6047 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8046 loss: 2.8046 2022/08/15 00:38:09 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 00:38:09 - mmengine - INFO - Epoch(train) [97][3757/3757] lr: 6.9134e-02 eta: 2 days, 18:22:40 time: 0.3895 data_time: 0.0136 memory: 13431 grad_norm: 2.5879 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.7148 loss: 2.7148 2022/08/15 00:38:51 - mmengine - INFO - Epoch(train) [98][100/3757] lr: 6.8566e-02 eta: 2 days, 18:21:46 time: 0.3987 data_time: 0.0143 memory: 13431 grad_norm: 2.6168 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 2.9310 loss: 2.9310 2022/08/15 00:39:32 - mmengine - INFO - Epoch(train) [98][200/3757] lr: 6.8566e-02 eta: 2 days, 18:21:06 time: 0.4006 data_time: 0.0155 memory: 13431 grad_norm: 2.5907 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5307 loss: 2.5307 2022/08/15 00:40:12 - mmengine - INFO - Epoch(train) [98][300/3757] lr: 6.8566e-02 eta: 2 days, 18:20:26 time: 0.3987 data_time: 0.0139 memory: 13431 grad_norm: 2.6775 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1371 loss: 3.1371 2022/08/15 00:40:52 - mmengine - INFO - Epoch(train) [98][400/3757] lr: 6.8566e-02 eta: 2 days, 18:19:47 time: 0.3975 data_time: 0.0156 memory: 13431 grad_norm: 2.6176 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8136 loss: 2.8136 2022/08/15 00:41:33 - mmengine - INFO - Epoch(train) [98][500/3757] lr: 6.8566e-02 eta: 2 days, 18:19:07 time: 0.3994 data_time: 0.0139 memory: 13431 grad_norm: 2.6445 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0047 loss: 3.0047 2022/08/15 00:42:01 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 00:42:13 - mmengine - INFO - Epoch(train) [98][600/3757] lr: 6.8566e-02 eta: 2 days, 18:18:27 time: 0.3997 data_time: 0.0140 memory: 13431 grad_norm: 2.5724 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8212 loss: 2.8212 2022/08/15 00:42:53 - mmengine - INFO - Epoch(train) [98][700/3757] lr: 6.8566e-02 eta: 2 days, 18:17:48 time: 0.4010 data_time: 0.0141 memory: 13431 grad_norm: 2.5700 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0584 loss: 3.0584 2022/08/15 00:43:34 - mmengine - INFO - Epoch(train) [98][800/3757] lr: 6.8566e-02 eta: 2 days, 18:17:08 time: 0.4071 data_time: 0.0144 memory: 13431 grad_norm: 2.5993 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7034 loss: 2.7034 2022/08/15 00:44:14 - mmengine - INFO - Epoch(train) [98][900/3757] lr: 6.8566e-02 eta: 2 days, 18:16:29 time: 0.4026 data_time: 0.0157 memory: 13431 grad_norm: 2.6112 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6039 loss: 2.6039 2022/08/15 00:44:54 - mmengine - INFO - Epoch(train) [98][1000/3757] lr: 6.8566e-02 eta: 2 days, 18:15:49 time: 0.3997 data_time: 0.0146 memory: 13431 grad_norm: 2.7664 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5673 loss: 2.5673 2022/08/15 00:45:35 - mmengine - INFO - Epoch(train) [98][1100/3757] lr: 6.8566e-02 eta: 2 days, 18:15:10 time: 0.3977 data_time: 0.0149 memory: 13431 grad_norm: 2.7177 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9449 loss: 2.9449 2022/08/15 00:46:15 - mmengine - INFO - Epoch(train) [98][1200/3757] lr: 6.8566e-02 eta: 2 days, 18:14:30 time: 0.4036 data_time: 0.0150 memory: 13431 grad_norm: 2.6610 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5479 loss: 2.5479 2022/08/15 00:46:55 - mmengine - INFO - Epoch(train) [98][1300/3757] lr: 6.8566e-02 eta: 2 days, 18:13:50 time: 0.4004 data_time: 0.0153 memory: 13431 grad_norm: 2.6417 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7286 loss: 2.7286 2022/08/15 00:47:36 - mmengine - INFO - Epoch(train) [98][1400/3757] lr: 6.8566e-02 eta: 2 days, 18:13:10 time: 0.4020 data_time: 0.0146 memory: 13431 grad_norm: 2.6544 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0062 loss: 3.0062 2022/08/15 00:48:16 - mmengine - INFO - Epoch(train) [98][1500/3757] lr: 6.8566e-02 eta: 2 days, 18:12:31 time: 0.3999 data_time: 0.0144 memory: 13431 grad_norm: 2.7267 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0754 loss: 3.0754 2022/08/15 00:48:45 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 00:48:57 - mmengine - INFO - Epoch(train) [98][1600/3757] lr: 6.8566e-02 eta: 2 days, 18:11:52 time: 0.4018 data_time: 0.0164 memory: 13431 grad_norm: 2.7058 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6512 loss: 2.6512 2022/08/15 00:49:37 - mmengine - INFO - Epoch(train) [98][1700/3757] lr: 6.8566e-02 eta: 2 days, 18:11:12 time: 0.3990 data_time: 0.0143 memory: 13431 grad_norm: 2.6697 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9457 loss: 2.9457 2022/08/15 00:50:17 - mmengine - INFO - Epoch(train) [98][1800/3757] lr: 6.8566e-02 eta: 2 days, 18:10:32 time: 0.4023 data_time: 0.0149 memory: 13431 grad_norm: 2.5910 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7300 loss: 2.7300 2022/08/15 00:50:58 - mmengine - INFO - Epoch(train) [98][1900/3757] lr: 6.8566e-02 eta: 2 days, 18:09:53 time: 0.4052 data_time: 0.0148 memory: 13431 grad_norm: 2.6543 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7564 loss: 2.7564 2022/08/15 00:51:38 - mmengine - INFO - Epoch(train) [98][2000/3757] lr: 6.8566e-02 eta: 2 days, 18:09:13 time: 0.4023 data_time: 0.0147 memory: 13431 grad_norm: 2.6319 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5553 loss: 2.5553 2022/08/15 00:52:18 - mmengine - INFO - Epoch(train) [98][2100/3757] lr: 6.8566e-02 eta: 2 days, 18:08:33 time: 0.4004 data_time: 0.0151 memory: 13431 grad_norm: 2.6782 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6443 loss: 2.6443 2022/08/15 00:52:59 - mmengine - INFO - Epoch(train) [98][2200/3757] lr: 6.8566e-02 eta: 2 days, 18:07:54 time: 0.3988 data_time: 0.0142 memory: 13431 grad_norm: 2.6384 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8825 loss: 2.8825 2022/08/15 00:53:39 - mmengine - INFO - Epoch(train) [98][2300/3757] lr: 6.8566e-02 eta: 2 days, 18:07:14 time: 0.4004 data_time: 0.0153 memory: 13431 grad_norm: 2.6294 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.7853 loss: 2.7853 2022/08/15 00:54:19 - mmengine - INFO - Epoch(train) [98][2400/3757] lr: 6.8566e-02 eta: 2 days, 18:06:34 time: 0.3983 data_time: 0.0155 memory: 13431 grad_norm: 2.6366 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8068 loss: 2.8068 2022/08/15 00:55:00 - mmengine - INFO - Epoch(train) [98][2500/3757] lr: 6.8566e-02 eta: 2 days, 18:05:56 time: 0.4000 data_time: 0.0144 memory: 13431 grad_norm: 2.6268 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7424 loss: 2.7424 2022/08/15 00:55:29 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 00:55:41 - mmengine - INFO - Epoch(train) [98][2600/3757] lr: 6.8566e-02 eta: 2 days, 18:05:17 time: 0.4013 data_time: 0.0142 memory: 13431 grad_norm: 2.6174 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.6262 loss: 2.6262 2022/08/15 00:56:21 - mmengine - INFO - Epoch(train) [98][2700/3757] lr: 6.8566e-02 eta: 2 days, 18:04:37 time: 0.4022 data_time: 0.0145 memory: 13431 grad_norm: 2.6448 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6442 loss: 2.6442 2022/08/15 00:57:01 - mmengine - INFO - Epoch(train) [98][2800/3757] lr: 6.8566e-02 eta: 2 days, 18:03:57 time: 0.4027 data_time: 0.0148 memory: 13431 grad_norm: 2.6110 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8517 loss: 2.8517 2022/08/15 00:57:42 - mmengine - INFO - Epoch(train) [98][2900/3757] lr: 6.8566e-02 eta: 2 days, 18:03:18 time: 0.4023 data_time: 0.0154 memory: 13431 grad_norm: 2.6396 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8236 loss: 2.8236 2022/08/15 00:58:22 - mmengine - INFO - Epoch(train) [98][3000/3757] lr: 6.8566e-02 eta: 2 days, 18:02:39 time: 0.4040 data_time: 0.0159 memory: 13431 grad_norm: 2.5916 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7524 loss: 2.7524 2022/08/15 00:59:03 - mmengine - INFO - Epoch(train) [98][3100/3757] lr: 6.8566e-02 eta: 2 days, 18:01:59 time: 0.4011 data_time: 0.0147 memory: 13431 grad_norm: 2.6107 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9536 loss: 2.9536 2022/08/15 00:59:43 - mmengine - INFO - Epoch(train) [98][3200/3757] lr: 6.8566e-02 eta: 2 days, 18:01:19 time: 0.4000 data_time: 0.0146 memory: 13431 grad_norm: 2.6623 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5341 loss: 2.5341 2022/08/15 01:00:24 - mmengine - INFO - Epoch(train) [98][3300/3757] lr: 6.8566e-02 eta: 2 days, 18:00:40 time: 0.4000 data_time: 0.0142 memory: 13431 grad_norm: 2.5949 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6718 loss: 2.6718 2022/08/15 01:01:04 - mmengine - INFO - Epoch(train) [98][3400/3757] lr: 6.8566e-02 eta: 2 days, 18:00:00 time: 0.3978 data_time: 0.0142 memory: 13431 grad_norm: 2.7130 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8717 loss: 2.8717 2022/08/15 01:01:44 - mmengine - INFO - Epoch(train) [98][3500/3757] lr: 6.8566e-02 eta: 2 days, 17:59:20 time: 0.3993 data_time: 0.0144 memory: 13431 grad_norm: 2.5800 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.9868 loss: 2.9868 2022/08/15 01:02:13 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 01:02:24 - mmengine - INFO - Epoch(train) [98][3600/3757] lr: 6.8566e-02 eta: 2 days, 17:58:40 time: 0.3981 data_time: 0.0138 memory: 13431 grad_norm: 2.6192 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6806 loss: 2.6806 2022/08/15 01:03:05 - mmengine - INFO - Epoch(train) [98][3700/3757] lr: 6.8566e-02 eta: 2 days, 17:58:01 time: 0.3996 data_time: 0.0138 memory: 13431 grad_norm: 2.6193 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9428 loss: 2.9428 2022/08/15 01:03:28 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 01:03:28 - mmengine - INFO - Epoch(train) [98][3757/3757] lr: 6.8566e-02 eta: 2 days, 17:57:45 time: 0.3890 data_time: 0.0136 memory: 13431 grad_norm: 2.6161 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 2.9368 loss: 2.9368 2022/08/15 01:04:10 - mmengine - INFO - Epoch(train) [99][100/3757] lr: 6.7995e-02 eta: 2 days, 17:56:51 time: 0.4098 data_time: 0.0146 memory: 13431 grad_norm: 2.6573 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9324 loss: 2.9324 2022/08/15 01:04:50 - mmengine - INFO - Epoch(train) [99][200/3757] lr: 6.7995e-02 eta: 2 days, 17:56:12 time: 0.4018 data_time: 0.0148 memory: 13431 grad_norm: 2.6700 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6153 loss: 2.6153 2022/08/15 01:05:31 - mmengine - INFO - Epoch(train) [99][300/3757] lr: 6.7995e-02 eta: 2 days, 17:55:32 time: 0.4001 data_time: 0.0151 memory: 13431 grad_norm: 2.6436 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 3.1400 loss: 3.1400 2022/08/15 01:06:11 - mmengine - INFO - Epoch(train) [99][400/3757] lr: 6.7995e-02 eta: 2 days, 17:54:53 time: 0.4000 data_time: 0.0156 memory: 13431 grad_norm: 2.6176 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6076 loss: 2.6076 2022/08/15 01:06:52 - mmengine - INFO - Epoch(train) [99][500/3757] lr: 6.7995e-02 eta: 2 days, 17:54:13 time: 0.4023 data_time: 0.0148 memory: 13431 grad_norm: 2.6166 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9339 loss: 2.9339 2022/08/15 01:07:32 - mmengine - INFO - Epoch(train) [99][600/3757] lr: 6.7995e-02 eta: 2 days, 17:53:34 time: 0.4004 data_time: 0.0143 memory: 13431 grad_norm: 2.5943 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8894 loss: 2.8894 2022/08/15 01:08:13 - mmengine - INFO - Epoch(train) [99][700/3757] lr: 6.7995e-02 eta: 2 days, 17:52:54 time: 0.4015 data_time: 0.0151 memory: 13431 grad_norm: 2.6681 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9017 loss: 2.9017 2022/08/15 01:08:53 - mmengine - INFO - Epoch(train) [99][800/3757] lr: 6.7995e-02 eta: 2 days, 17:52:15 time: 0.4070 data_time: 0.0145 memory: 13431 grad_norm: 2.6522 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4939 loss: 2.4939 2022/08/15 01:08:59 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 01:09:34 - mmengine - INFO - Epoch(train) [99][900/3757] lr: 6.7995e-02 eta: 2 days, 17:51:35 time: 0.3996 data_time: 0.0137 memory: 13431 grad_norm: 2.7350 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2464 loss: 3.2464 2022/08/15 01:10:14 - mmengine - INFO - Epoch(train) [99][1000/3757] lr: 6.7995e-02 eta: 2 days, 17:50:55 time: 0.3993 data_time: 0.0144 memory: 13431 grad_norm: 2.6420 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9076 loss: 2.9076 2022/08/15 01:10:54 - mmengine - INFO - Epoch(train) [99][1100/3757] lr: 6.7995e-02 eta: 2 days, 17:50:16 time: 0.3993 data_time: 0.0148 memory: 13431 grad_norm: 2.6666 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7222 loss: 2.7222 2022/08/15 01:11:35 - mmengine - INFO - Epoch(train) [99][1200/3757] lr: 6.7995e-02 eta: 2 days, 17:49:36 time: 0.3995 data_time: 0.0145 memory: 13431 grad_norm: 2.6547 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7885 loss: 2.7885 2022/08/15 01:12:15 - mmengine - INFO - Epoch(train) [99][1300/3757] lr: 6.7995e-02 eta: 2 days, 17:48:57 time: 0.4009 data_time: 0.0157 memory: 13431 grad_norm: 2.6289 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7265 loss: 2.7265 2022/08/15 01:12:55 - mmengine - INFO - Epoch(train) [99][1400/3757] lr: 6.7995e-02 eta: 2 days, 17:48:17 time: 0.3993 data_time: 0.0142 memory: 13431 grad_norm: 2.6934 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.7338 loss: 2.7338 2022/08/15 01:13:36 - mmengine - INFO - Epoch(train) [99][1500/3757] lr: 6.7995e-02 eta: 2 days, 17:47:38 time: 0.4055 data_time: 0.0139 memory: 13431 grad_norm: 2.6743 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8634 loss: 2.8634 2022/08/15 01:14:16 - mmengine - INFO - Epoch(train) [99][1600/3757] lr: 6.7995e-02 eta: 2 days, 17:46:58 time: 0.3984 data_time: 0.0147 memory: 13431 grad_norm: 2.7091 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9277 loss: 2.9277 2022/08/15 01:14:56 - mmengine - INFO - Epoch(train) [99][1700/3757] lr: 6.7995e-02 eta: 2 days, 17:46:18 time: 0.4002 data_time: 0.0144 memory: 13431 grad_norm: 2.6742 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7690 loss: 2.7690 2022/08/15 01:15:37 - mmengine - INFO - Epoch(train) [99][1800/3757] lr: 6.7995e-02 eta: 2 days, 17:45:39 time: 0.4000 data_time: 0.0144 memory: 13431 grad_norm: 2.6481 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8546 loss: 2.8546 2022/08/15 01:15:42 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 01:16:17 - mmengine - INFO - Epoch(train) [99][1900/3757] lr: 6.7995e-02 eta: 2 days, 17:44:59 time: 0.4024 data_time: 0.0165 memory: 13431 grad_norm: 2.7160 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7718 loss: 2.7718 2022/08/15 01:16:58 - mmengine - INFO - Epoch(train) [99][2000/3757] lr: 6.7995e-02 eta: 2 days, 17:44:20 time: 0.4000 data_time: 0.0153 memory: 13431 grad_norm: 2.7526 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0005 loss: 3.0005 2022/08/15 01:17:38 - mmengine - INFO - Epoch(train) [99][2100/3757] lr: 6.7995e-02 eta: 2 days, 17:43:40 time: 0.4056 data_time: 0.0169 memory: 13431 grad_norm: 2.6147 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8879 loss: 2.8879 2022/08/15 01:18:18 - mmengine - INFO - Epoch(train) [99][2200/3757] lr: 6.7995e-02 eta: 2 days, 17:43:00 time: 0.4061 data_time: 0.0152 memory: 13431 grad_norm: 2.6699 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8885 loss: 2.8885 2022/08/15 01:18:58 - mmengine - INFO - Epoch(train) [99][2300/3757] lr: 6.7995e-02 eta: 2 days, 17:42:21 time: 0.3997 data_time: 0.0149 memory: 13431 grad_norm: 2.7088 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7370 loss: 2.7370 2022/08/15 01:19:39 - mmengine - INFO - Epoch(train) [99][2400/3757] lr: 6.7995e-02 eta: 2 days, 17:41:41 time: 0.4022 data_time: 0.0145 memory: 13431 grad_norm: 2.6170 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6566 loss: 2.6566 2022/08/15 01:20:19 - mmengine - INFO - Epoch(train) [99][2500/3757] lr: 6.7995e-02 eta: 2 days, 17:41:01 time: 0.4066 data_time: 0.0149 memory: 13431 grad_norm: 2.7004 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8183 loss: 2.8183 2022/08/15 01:21:00 - mmengine - INFO - Epoch(train) [99][2600/3757] lr: 6.7995e-02 eta: 2 days, 17:40:22 time: 0.4074 data_time: 0.0164 memory: 13431 grad_norm: 2.6429 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0703 loss: 3.0703 2022/08/15 01:21:40 - mmengine - INFO - Epoch(train) [99][2700/3757] lr: 6.7995e-02 eta: 2 days, 17:39:42 time: 0.4022 data_time: 0.0153 memory: 13431 grad_norm: 2.7614 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8937 loss: 2.8937 2022/08/15 01:22:20 - mmengine - INFO - Epoch(train) [99][2800/3757] lr: 6.7995e-02 eta: 2 days, 17:39:03 time: 0.4017 data_time: 0.0153 memory: 13431 grad_norm: 2.5836 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7944 loss: 2.7944 2022/08/15 01:22:26 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 01:23:01 - mmengine - INFO - Epoch(train) [99][2900/3757] lr: 6.7995e-02 eta: 2 days, 17:38:24 time: 0.4152 data_time: 0.0153 memory: 13431 grad_norm: 2.5904 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8370 loss: 2.8370 2022/08/15 01:23:41 - mmengine - INFO - Epoch(train) [99][3000/3757] lr: 6.7995e-02 eta: 2 days, 17:37:44 time: 0.4018 data_time: 0.0147 memory: 13431 grad_norm: 2.6475 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9867 loss: 2.9867 2022/08/15 01:24:21 - mmengine - INFO - Epoch(train) [99][3100/3757] lr: 6.7995e-02 eta: 2 days, 17:37:04 time: 0.4026 data_time: 0.0157 memory: 13431 grad_norm: 2.5495 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5169 loss: 2.5169 2022/08/15 01:25:02 - mmengine - INFO - Epoch(train) [99][3200/3757] lr: 6.7995e-02 eta: 2 days, 17:36:24 time: 0.4047 data_time: 0.0148 memory: 13431 grad_norm: 2.6932 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8429 loss: 2.8429 2022/08/15 01:25:42 - mmengine - INFO - Epoch(train) [99][3300/3757] lr: 6.7995e-02 eta: 2 days, 17:35:45 time: 0.4085 data_time: 0.0144 memory: 13431 grad_norm: 2.6407 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7517 loss: 2.7517 2022/08/15 01:26:23 - mmengine - INFO - Epoch(train) [99][3400/3757] lr: 6.7995e-02 eta: 2 days, 17:35:05 time: 0.4017 data_time: 0.0147 memory: 13431 grad_norm: 2.7463 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.5886 loss: 2.5886 2022/08/15 01:27:03 - mmengine - INFO - Epoch(train) [99][3500/3757] lr: 6.7995e-02 eta: 2 days, 17:34:26 time: 0.4010 data_time: 0.0148 memory: 13431 grad_norm: 2.5587 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8655 loss: 2.8655 2022/08/15 01:27:43 - mmengine - INFO - Epoch(train) [99][3600/3757] lr: 6.7995e-02 eta: 2 days, 17:33:46 time: 0.4043 data_time: 0.0149 memory: 13431 grad_norm: 2.6279 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6961 loss: 2.6961 2022/08/15 01:28:24 - mmengine - INFO - Epoch(train) [99][3700/3757] lr: 6.7995e-02 eta: 2 days, 17:33:06 time: 0.4013 data_time: 0.0153 memory: 13431 grad_norm: 2.5413 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5164 loss: 2.5164 2022/08/15 01:28:46 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 01:28:46 - mmengine - INFO - Epoch(train) [99][3757/3757] lr: 6.7995e-02 eta: 2 days, 17:32:51 time: 0.3861 data_time: 0.0137 memory: 13431 grad_norm: 2.6178 top1_acc: 0.4286 top5_acc: 0.4286 loss_cls: 2.9120 loss: 2.9120 2022/08/15 01:29:11 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 01:29:29 - mmengine - INFO - Epoch(train) [100][100/3757] lr: 6.7421e-02 eta: 2 days, 17:31:56 time: 0.3992 data_time: 0.0146 memory: 13431 grad_norm: 2.6209 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.4982 loss: 2.4982 2022/08/15 01:30:09 - mmengine - INFO - Epoch(train) [100][200/3757] lr: 6.7421e-02 eta: 2 days, 17:31:17 time: 0.4036 data_time: 0.0163 memory: 13431 grad_norm: 2.6171 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6373 loss: 2.6373 2022/08/15 01:30:49 - mmengine - INFO - Epoch(train) [100][300/3757] lr: 6.7421e-02 eta: 2 days, 17:30:37 time: 0.3998 data_time: 0.0149 memory: 13431 grad_norm: 2.6311 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7199 loss: 2.7199 2022/08/15 01:31:30 - mmengine - INFO - Epoch(train) [100][400/3757] lr: 6.7421e-02 eta: 2 days, 17:29:57 time: 0.4014 data_time: 0.0155 memory: 13431 grad_norm: 2.6316 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5689 loss: 2.5689 2022/08/15 01:32:10 - mmengine - INFO - Epoch(train) [100][500/3757] lr: 6.7421e-02 eta: 2 days, 17:29:18 time: 0.4076 data_time: 0.0156 memory: 13431 grad_norm: 2.6569 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7479 loss: 2.7479 2022/08/15 01:32:51 - mmengine - INFO - Epoch(train) [100][600/3757] lr: 6.7421e-02 eta: 2 days, 17:28:38 time: 0.3992 data_time: 0.0155 memory: 13431 grad_norm: 2.6381 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4182 loss: 2.4182 2022/08/15 01:33:31 - mmengine - INFO - Epoch(train) [100][700/3757] lr: 6.7421e-02 eta: 2 days, 17:27:59 time: 0.3997 data_time: 0.0143 memory: 13431 grad_norm: 2.6402 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0280 loss: 3.0280 2022/08/15 01:34:11 - mmengine - INFO - Epoch(train) [100][800/3757] lr: 6.7421e-02 eta: 2 days, 17:27:19 time: 0.4009 data_time: 0.0150 memory: 13431 grad_norm: 2.6965 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6031 loss: 2.6031 2022/08/15 01:34:52 - mmengine - INFO - Epoch(train) [100][900/3757] lr: 6.7421e-02 eta: 2 days, 17:26:40 time: 0.4022 data_time: 0.0155 memory: 13431 grad_norm: 2.6086 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.6096 loss: 2.6096 2022/08/15 01:35:32 - mmengine - INFO - Epoch(train) [100][1000/3757] lr: 6.7421e-02 eta: 2 days, 17:26:00 time: 0.3997 data_time: 0.0152 memory: 13431 grad_norm: 2.6416 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.9581 loss: 2.9581 2022/08/15 01:35:55 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 01:36:12 - mmengine - INFO - Epoch(train) [100][1100/3757] lr: 6.7421e-02 eta: 2 days, 17:25:20 time: 0.4011 data_time: 0.0149 memory: 13431 grad_norm: 2.6688 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8868 loss: 2.8868 2022/08/15 01:36:53 - mmengine - INFO - Epoch(train) [100][1200/3757] lr: 6.7421e-02 eta: 2 days, 17:24:41 time: 0.4012 data_time: 0.0150 memory: 13431 grad_norm: 2.7081 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7834 loss: 2.7834 2022/08/15 01:37:33 - mmengine - INFO - Epoch(train) [100][1300/3757] lr: 6.7421e-02 eta: 2 days, 17:24:01 time: 0.4011 data_time: 0.0160 memory: 13431 grad_norm: 2.7223 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9994 loss: 2.9994 2022/08/15 01:38:14 - mmengine - INFO - Epoch(train) [100][1400/3757] lr: 6.7421e-02 eta: 2 days, 17:23:22 time: 0.4068 data_time: 0.0147 memory: 13431 grad_norm: 2.5722 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6544 loss: 2.6544 2022/08/15 01:38:54 - mmengine - INFO - Epoch(train) [100][1500/3757] lr: 6.7421e-02 eta: 2 days, 17:22:42 time: 0.4022 data_time: 0.0153 memory: 13431 grad_norm: 2.7281 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.5736 loss: 2.5736 2022/08/15 01:39:34 - mmengine - INFO - Epoch(train) [100][1600/3757] lr: 6.7421e-02 eta: 2 days, 17:22:02 time: 0.4010 data_time: 0.0154 memory: 13431 grad_norm: 2.7016 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0028 loss: 3.0028 2022/08/15 01:40:15 - mmengine - INFO - Epoch(train) [100][1700/3757] lr: 6.7421e-02 eta: 2 days, 17:21:23 time: 0.3999 data_time: 0.0144 memory: 13431 grad_norm: 2.6419 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.6025 loss: 2.6025 2022/08/15 01:40:55 - mmengine - INFO - Epoch(train) [100][1800/3757] lr: 6.7421e-02 eta: 2 days, 17:20:43 time: 0.4017 data_time: 0.0146 memory: 13431 grad_norm: 2.6558 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6531 loss: 2.6531 2022/08/15 01:41:36 - mmengine - INFO - Epoch(train) [100][1900/3757] lr: 6.7421e-02 eta: 2 days, 17:20:04 time: 0.4079 data_time: 0.0145 memory: 13431 grad_norm: 2.6579 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.8925 loss: 2.8925 2022/08/15 01:42:16 - mmengine - INFO - Epoch(train) [100][2000/3757] lr: 6.7421e-02 eta: 2 days, 17:19:24 time: 0.4046 data_time: 0.0150 memory: 13431 grad_norm: 2.6218 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9117 loss: 2.9117 2022/08/15 01:42:39 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 01:42:56 - mmengine - INFO - Epoch(train) [100][2100/3757] lr: 6.7421e-02 eta: 2 days, 17:18:45 time: 0.4036 data_time: 0.0144 memory: 13431 grad_norm: 2.6135 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5838 loss: 2.5838 2022/08/15 01:43:37 - mmengine - INFO - Epoch(train) [100][2200/3757] lr: 6.7421e-02 eta: 2 days, 17:18:05 time: 0.4034 data_time: 0.0150 memory: 13431 grad_norm: 2.6281 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0031 loss: 3.0031 2022/08/15 01:44:17 - mmengine - INFO - Epoch(train) [100][2300/3757] lr: 6.7421e-02 eta: 2 days, 17:17:26 time: 0.4003 data_time: 0.0145 memory: 13431 grad_norm: 2.6727 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2410 loss: 3.2410 2022/08/15 01:44:58 - mmengine - INFO - Epoch(train) [100][2400/3757] lr: 6.7421e-02 eta: 2 days, 17:16:46 time: 0.4013 data_time: 0.0145 memory: 13431 grad_norm: 2.5694 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1161 loss: 3.1161 2022/08/15 01:45:38 - mmengine - INFO - Epoch(train) [100][2500/3757] lr: 6.7421e-02 eta: 2 days, 17:16:06 time: 0.3982 data_time: 0.0152 memory: 13431 grad_norm: 2.6276 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9103 loss: 2.9103 2022/08/15 01:46:18 - mmengine - INFO - Epoch(train) [100][2600/3757] lr: 6.7421e-02 eta: 2 days, 17:15:27 time: 0.4038 data_time: 0.0146 memory: 13431 grad_norm: 2.6632 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8062 loss: 2.8062 2022/08/15 01:46:59 - mmengine - INFO - Epoch(train) [100][2700/3757] lr: 6.7421e-02 eta: 2 days, 17:14:48 time: 0.3989 data_time: 0.0146 memory: 13431 grad_norm: 2.6230 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3584 loss: 2.3584 2022/08/15 01:47:39 - mmengine - INFO - Epoch(train) [100][2800/3757] lr: 6.7421e-02 eta: 2 days, 17:14:08 time: 0.3989 data_time: 0.0144 memory: 13431 grad_norm: 2.7033 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8847 loss: 2.8847 2022/08/15 01:48:19 - mmengine - INFO - Epoch(train) [100][2900/3757] lr: 6.7421e-02 eta: 2 days, 17:13:28 time: 0.4014 data_time: 0.0145 memory: 13431 grad_norm: 2.6548 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6704 loss: 2.6704 2022/08/15 01:49:00 - mmengine - INFO - Epoch(train) [100][3000/3757] lr: 6.7421e-02 eta: 2 days, 17:12:48 time: 0.4003 data_time: 0.0146 memory: 13431 grad_norm: 2.6423 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8871 loss: 2.8871 2022/08/15 01:49:23 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 01:49:40 - mmengine - INFO - Epoch(train) [100][3100/3757] lr: 6.7421e-02 eta: 2 days, 17:12:09 time: 0.4031 data_time: 0.0142 memory: 13431 grad_norm: 2.6681 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8765 loss: 2.8765 2022/08/15 01:50:21 - mmengine - INFO - Epoch(train) [100][3200/3757] lr: 6.7421e-02 eta: 2 days, 17:11:29 time: 0.4008 data_time: 0.0160 memory: 13431 grad_norm: 2.5645 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6077 loss: 2.6077 2022/08/15 01:51:01 - mmengine - INFO - Epoch(train) [100][3300/3757] lr: 6.7421e-02 eta: 2 days, 17:10:50 time: 0.4079 data_time: 0.0152 memory: 13431 grad_norm: 2.7070 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7039 loss: 2.7039 2022/08/15 01:51:42 - mmengine - INFO - Epoch(train) [100][3400/3757] lr: 6.7421e-02 eta: 2 days, 17:10:11 time: 0.3991 data_time: 0.0151 memory: 13431 grad_norm: 2.7004 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7222 loss: 2.7222 2022/08/15 01:52:22 - mmengine - INFO - Epoch(train) [100][3500/3757] lr: 6.7421e-02 eta: 2 days, 17:09:31 time: 0.4003 data_time: 0.0140 memory: 13431 grad_norm: 2.6551 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9009 loss: 2.9009 2022/08/15 01:53:02 - mmengine - INFO - Epoch(train) [100][3600/3757] lr: 6.7421e-02 eta: 2 days, 17:08:51 time: 0.4004 data_time: 0.0141 memory: 13431 grad_norm: 2.5798 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6722 loss: 2.6722 2022/08/15 01:53:42 - mmengine - INFO - Epoch(train) [100][3700/3757] lr: 6.7421e-02 eta: 2 days, 17:08:11 time: 0.4019 data_time: 0.0150 memory: 13431 grad_norm: 2.6861 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7259 loss: 2.7259 2022/08/15 01:54:05 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 01:54:05 - mmengine - INFO - Epoch(train) [100][3757/3757] lr: 6.7421e-02 eta: 2 days, 17:07:56 time: 0.3876 data_time: 0.0136 memory: 13431 grad_norm: 2.5670 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 2.8059 loss: 2.8059 2022/08/15 01:54:05 - mmengine - INFO - Saving checkpoint at 100 epochs 2022/08/15 01:54:34 - mmengine - INFO - Epoch(val) [100][100/310] eta: 0:00:48 time: 0.2299 data_time: 0.0999 memory: 1974 2022/08/15 01:54:55 - mmengine - INFO - Epoch(val) [100][200/310] eta: 0:00:21 time: 0.1968 data_time: 0.0669 memory: 1974 2022/08/15 01:55:14 - mmengine - INFO - Epoch(val) [100][300/310] eta: 0:00:01 time: 0.1290 data_time: 0.0198 memory: 1974 2022/08/15 01:55:16 - mmengine - INFO - Epoch(val) [100][310/310] acc/top1: 0.4465 acc/top5: 0.7218 acc/mean1: 0.4463 2022/08/15 01:55:16 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_81.pth is removed 2022/08/15 01:55:19 - mmengine - INFO - The best checkpoint with 0.4465 acc/top1 at 101 epoch is saved to best_acc/top1_epoch_101.pth. 2022/08/15 01:56:01 - mmengine - INFO - Epoch(train) [101][100/3757] lr: 6.6844e-02 eta: 2 days, 17:07:00 time: 0.4001 data_time: 0.0146 memory: 13431 grad_norm: 2.7115 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6142 loss: 2.6142 2022/08/15 01:56:41 - mmengine - INFO - Epoch(train) [101][200/3757] lr: 6.6844e-02 eta: 2 days, 17:06:20 time: 0.3983 data_time: 0.0148 memory: 13431 grad_norm: 2.6815 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9123 loss: 2.9123 2022/08/15 01:57:21 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 01:57:21 - mmengine - INFO - Epoch(train) [101][300/3757] lr: 6.6844e-02 eta: 2 days, 17:05:41 time: 0.3995 data_time: 0.0145 memory: 13431 grad_norm: 2.7147 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6114 loss: 2.6114 2022/08/15 01:58:02 - mmengine - INFO - Epoch(train) [101][400/3757] lr: 6.6844e-02 eta: 2 days, 17:05:01 time: 0.4000 data_time: 0.0148 memory: 13431 grad_norm: 2.6635 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5611 loss: 2.5611 2022/08/15 01:58:42 - mmengine - INFO - Epoch(train) [101][500/3757] lr: 6.6844e-02 eta: 2 days, 17:04:21 time: 0.4000 data_time: 0.0160 memory: 13431 grad_norm: 2.6272 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3317 loss: 2.3317 2022/08/15 01:59:22 - mmengine - INFO - Epoch(train) [101][600/3757] lr: 6.6844e-02 eta: 2 days, 17:03:41 time: 0.4077 data_time: 0.0153 memory: 13431 grad_norm: 2.6708 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.8012 loss: 2.8012 2022/08/15 02:00:03 - mmengine - INFO - Epoch(train) [101][700/3757] lr: 6.6844e-02 eta: 2 days, 17:03:02 time: 0.4070 data_time: 0.0142 memory: 13431 grad_norm: 2.6233 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5600 loss: 2.5600 2022/08/15 02:00:44 - mmengine - INFO - Epoch(train) [101][800/3757] lr: 6.6844e-02 eta: 2 days, 17:02:24 time: 0.4019 data_time: 0.0152 memory: 13431 grad_norm: 2.6555 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7002 loss: 2.7002 2022/08/15 02:01:25 - mmengine - INFO - Epoch(train) [101][900/3757] lr: 6.6844e-02 eta: 2 days, 17:01:45 time: 0.4046 data_time: 0.0150 memory: 13431 grad_norm: 2.6922 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9487 loss: 2.9487 2022/08/15 02:02:05 - mmengine - INFO - Epoch(train) [101][1000/3757] lr: 6.6844e-02 eta: 2 days, 17:01:05 time: 0.4006 data_time: 0.0144 memory: 13431 grad_norm: 2.5699 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0843 loss: 3.0843 2022/08/15 02:02:45 - mmengine - INFO - Epoch(train) [101][1100/3757] lr: 6.6844e-02 eta: 2 days, 17:00:25 time: 0.4018 data_time: 0.0141 memory: 13431 grad_norm: 2.6036 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3795 loss: 2.3795 2022/08/15 02:03:25 - mmengine - INFO - Epoch(train) [101][1200/3757] lr: 6.6844e-02 eta: 2 days, 16:59:45 time: 0.4022 data_time: 0.0157 memory: 13431 grad_norm: 2.6528 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4711 loss: 2.4711 2022/08/15 02:04:06 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 02:04:06 - mmengine - INFO - Epoch(train) [101][1300/3757] lr: 6.6844e-02 eta: 2 days, 16:59:06 time: 0.4002 data_time: 0.0151 memory: 13431 grad_norm: 2.7041 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9599 loss: 2.9599 2022/08/15 02:04:46 - mmengine - INFO - Epoch(train) [101][1400/3757] lr: 6.6844e-02 eta: 2 days, 16:58:26 time: 0.4087 data_time: 0.0146 memory: 13431 grad_norm: 2.7336 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6949 loss: 2.6949 2022/08/15 02:05:27 - mmengine - INFO - Epoch(train) [101][1500/3757] lr: 6.6844e-02 eta: 2 days, 16:57:47 time: 0.4002 data_time: 0.0159 memory: 13431 grad_norm: 2.6706 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5972 loss: 2.5972 2022/08/15 02:06:07 - mmengine - INFO - Epoch(train) [101][1600/3757] lr: 6.6844e-02 eta: 2 days, 16:57:07 time: 0.4014 data_time: 0.0161 memory: 13431 grad_norm: 2.6189 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5763 loss: 2.5763 2022/08/15 02:06:48 - mmengine - INFO - Epoch(train) [101][1700/3757] lr: 6.6844e-02 eta: 2 days, 16:56:28 time: 0.4006 data_time: 0.0147 memory: 13431 grad_norm: 2.5691 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8266 loss: 2.8266 2022/08/15 02:07:28 - mmengine - INFO - Epoch(train) [101][1800/3757] lr: 6.6844e-02 eta: 2 days, 16:55:48 time: 0.4007 data_time: 0.0145 memory: 13431 grad_norm: 2.7420 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6347 loss: 2.6347 2022/08/15 02:08:08 - mmengine - INFO - Epoch(train) [101][1900/3757] lr: 6.6844e-02 eta: 2 days, 16:55:08 time: 0.4027 data_time: 0.0160 memory: 13431 grad_norm: 2.7222 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7040 loss: 2.7040 2022/08/15 02:08:49 - mmengine - INFO - Epoch(train) [101][2000/3757] lr: 6.6844e-02 eta: 2 days, 16:54:29 time: 0.4002 data_time: 0.0149 memory: 13431 grad_norm: 2.6742 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8545 loss: 2.8545 2022/08/15 02:09:29 - mmengine - INFO - Epoch(train) [101][2100/3757] lr: 6.6844e-02 eta: 2 days, 16:53:49 time: 0.4076 data_time: 0.0149 memory: 13431 grad_norm: 2.5902 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3652 loss: 2.3652 2022/08/15 02:10:09 - mmengine - INFO - Epoch(train) [101][2200/3757] lr: 6.6844e-02 eta: 2 days, 16:53:09 time: 0.4110 data_time: 0.0149 memory: 13431 grad_norm: 2.6534 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4302 loss: 2.4302 2022/08/15 02:10:50 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 02:10:50 - mmengine - INFO - Epoch(train) [101][2300/3757] lr: 6.6844e-02 eta: 2 days, 16:52:30 time: 0.4005 data_time: 0.0146 memory: 13431 grad_norm: 2.7361 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7047 loss: 2.7047 2022/08/15 02:11:30 - mmengine - INFO - Epoch(train) [101][2400/3757] lr: 6.6844e-02 eta: 2 days, 16:51:51 time: 0.3996 data_time: 0.0135 memory: 13431 grad_norm: 2.6599 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7525 loss: 2.7525 2022/08/15 02:12:11 - mmengine - INFO - Epoch(train) [101][2500/3757] lr: 6.6844e-02 eta: 2 days, 16:51:11 time: 0.3997 data_time: 0.0143 memory: 13431 grad_norm: 2.6008 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0581 loss: 3.0581 2022/08/15 02:12:51 - mmengine - INFO - Epoch(train) [101][2600/3757] lr: 6.6844e-02 eta: 2 days, 16:50:31 time: 0.3998 data_time: 0.0140 memory: 13431 grad_norm: 2.6174 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6410 loss: 2.6410 2022/08/15 02:13:31 - mmengine - INFO - Epoch(train) [101][2700/3757] lr: 6.6844e-02 eta: 2 days, 16:49:52 time: 0.4012 data_time: 0.0144 memory: 13431 grad_norm: 2.6459 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8730 loss: 2.8730 2022/08/15 02:14:12 - mmengine - INFO - Epoch(train) [101][2800/3757] lr: 6.6844e-02 eta: 2 days, 16:49:12 time: 0.4042 data_time: 0.0142 memory: 13431 grad_norm: 2.6505 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6374 loss: 2.6374 2022/08/15 02:14:52 - mmengine - INFO - Epoch(train) [101][2900/3757] lr: 6.6844e-02 eta: 2 days, 16:48:32 time: 0.3994 data_time: 0.0166 memory: 13431 grad_norm: 2.6205 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7022 loss: 2.7022 2022/08/15 02:15:33 - mmengine - INFO - Epoch(train) [101][3000/3757] lr: 6.6844e-02 eta: 2 days, 16:47:53 time: 0.4020 data_time: 0.0149 memory: 13431 grad_norm: 2.6095 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9054 loss: 2.9054 2022/08/15 02:16:13 - mmengine - INFO - Epoch(train) [101][3100/3757] lr: 6.6844e-02 eta: 2 days, 16:47:14 time: 0.4023 data_time: 0.0148 memory: 13431 grad_norm: 2.7763 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2582 loss: 3.2582 2022/08/15 02:16:53 - mmengine - INFO - Epoch(train) [101][3200/3757] lr: 6.6844e-02 eta: 2 days, 16:46:34 time: 0.3998 data_time: 0.0146 memory: 13431 grad_norm: 2.7395 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9285 loss: 2.9285 2022/08/15 02:17:34 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 02:17:34 - mmengine - INFO - Epoch(train) [101][3300/3757] lr: 6.6844e-02 eta: 2 days, 16:45:54 time: 0.3984 data_time: 0.0147 memory: 13431 grad_norm: 2.6256 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5485 loss: 2.5485 2022/08/15 02:18:14 - mmengine - INFO - Epoch(train) [101][3400/3757] lr: 6.6844e-02 eta: 2 days, 16:45:14 time: 0.4044 data_time: 0.0151 memory: 13431 grad_norm: 2.7159 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8212 loss: 2.8212 2022/08/15 02:18:54 - mmengine - INFO - Epoch(train) [101][3500/3757] lr: 6.6844e-02 eta: 2 days, 16:44:35 time: 0.4010 data_time: 0.0138 memory: 13431 grad_norm: 2.6526 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8114 loss: 2.8114 2022/08/15 02:19:35 - mmengine - INFO - Epoch(train) [101][3600/3757] lr: 6.6844e-02 eta: 2 days, 16:43:55 time: 0.4005 data_time: 0.0147 memory: 13431 grad_norm: 2.7039 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6427 loss: 2.6427 2022/08/15 02:20:15 - mmengine - INFO - Epoch(train) [101][3700/3757] lr: 6.6844e-02 eta: 2 days, 16:43:16 time: 0.4076 data_time: 0.0146 memory: 13431 grad_norm: 2.6848 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9003 loss: 2.9003 2022/08/15 02:20:38 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 02:20:38 - mmengine - INFO - Epoch(train) [101][3757/3757] lr: 6.6844e-02 eta: 2 days, 16:43:00 time: 0.3903 data_time: 0.0146 memory: 13431 grad_norm: 2.6233 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 2.7977 loss: 2.7977 2022/08/15 02:21:20 - mmengine - INFO - Epoch(train) [102][100/3757] lr: 6.6266e-02 eta: 2 days, 16:42:06 time: 0.4012 data_time: 0.0154 memory: 13431 grad_norm: 2.7413 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5536 loss: 2.5536 2022/08/15 02:22:00 - mmengine - INFO - Epoch(train) [102][200/3757] lr: 6.6266e-02 eta: 2 days, 16:41:26 time: 0.4010 data_time: 0.0149 memory: 13431 grad_norm: 2.6276 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2938 loss: 2.2938 2022/08/15 02:22:41 - mmengine - INFO - Epoch(train) [102][300/3757] lr: 6.6266e-02 eta: 2 days, 16:40:46 time: 0.4021 data_time: 0.0154 memory: 13431 grad_norm: 2.6684 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8449 loss: 2.8449 2022/08/15 02:23:21 - mmengine - INFO - Epoch(train) [102][400/3757] lr: 6.6266e-02 eta: 2 days, 16:40:07 time: 0.4005 data_time: 0.0138 memory: 13431 grad_norm: 2.6773 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8585 loss: 2.8585 2022/08/15 02:24:02 - mmengine - INFO - Epoch(train) [102][500/3757] lr: 6.6266e-02 eta: 2 days, 16:39:27 time: 0.4001 data_time: 0.0147 memory: 13431 grad_norm: 2.6956 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.9528 loss: 2.9528 2022/08/15 02:24:19 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 02:24:42 - mmengine - INFO - Epoch(train) [102][600/3757] lr: 6.6266e-02 eta: 2 days, 16:38:48 time: 0.4051 data_time: 0.0144 memory: 13431 grad_norm: 2.7658 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6808 loss: 2.6808 2022/08/15 02:25:23 - mmengine - INFO - Epoch(train) [102][700/3757] lr: 6.6266e-02 eta: 2 days, 16:38:08 time: 0.3985 data_time: 0.0137 memory: 13431 grad_norm: 2.6392 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7061 loss: 2.7061 2022/08/15 02:26:03 - mmengine - INFO - Epoch(train) [102][800/3757] lr: 6.6266e-02 eta: 2 days, 16:37:29 time: 0.4001 data_time: 0.0159 memory: 13431 grad_norm: 2.6837 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7535 loss: 2.7535 2022/08/15 02:26:43 - mmengine - INFO - Epoch(train) [102][900/3757] lr: 6.6266e-02 eta: 2 days, 16:36:49 time: 0.4033 data_time: 0.0145 memory: 13431 grad_norm: 2.6623 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8215 loss: 2.8215 2022/08/15 02:27:24 - mmengine - INFO - Epoch(train) [102][1000/3757] lr: 6.6266e-02 eta: 2 days, 16:36:09 time: 0.3988 data_time: 0.0146 memory: 13431 grad_norm: 2.7269 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9529 loss: 2.9529 2022/08/15 02:28:04 - mmengine - INFO - Epoch(train) [102][1100/3757] lr: 6.6266e-02 eta: 2 days, 16:35:30 time: 0.4009 data_time: 0.0162 memory: 13431 grad_norm: 2.7115 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5691 loss: 2.5691 2022/08/15 02:28:44 - mmengine - INFO - Epoch(train) [102][1200/3757] lr: 6.6266e-02 eta: 2 days, 16:34:50 time: 0.4015 data_time: 0.0160 memory: 13431 grad_norm: 2.6780 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6861 loss: 2.6861 2022/08/15 02:29:25 - mmengine - INFO - Epoch(train) [102][1300/3757] lr: 6.6266e-02 eta: 2 days, 16:34:11 time: 0.4076 data_time: 0.0151 memory: 13431 grad_norm: 2.6965 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8576 loss: 2.8576 2022/08/15 02:30:06 - mmengine - INFO - Epoch(train) [102][1400/3757] lr: 6.6266e-02 eta: 2 days, 16:33:31 time: 0.4017 data_time: 0.0149 memory: 13431 grad_norm: 2.7178 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5989 loss: 2.5989 2022/08/15 02:30:46 - mmengine - INFO - Epoch(train) [102][1500/3757] lr: 6.6266e-02 eta: 2 days, 16:32:52 time: 0.4013 data_time: 0.0147 memory: 13431 grad_norm: 2.7388 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8020 loss: 2.8020 2022/08/15 02:31:03 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 02:31:26 - mmengine - INFO - Epoch(train) [102][1600/3757] lr: 6.6266e-02 eta: 2 days, 16:32:12 time: 0.4031 data_time: 0.0146 memory: 13431 grad_norm: 2.6638 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7950 loss: 2.7950 2022/08/15 02:32:07 - mmengine - INFO - Epoch(train) [102][1700/3757] lr: 6.6266e-02 eta: 2 days, 16:31:32 time: 0.4014 data_time: 0.0165 memory: 13431 grad_norm: 2.6917 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5644 loss: 2.5644 2022/08/15 02:32:47 - mmengine - INFO - Epoch(train) [102][1800/3757] lr: 6.6266e-02 eta: 2 days, 16:30:53 time: 0.4091 data_time: 0.0155 memory: 13431 grad_norm: 2.6940 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6258 loss: 2.6258 2022/08/15 02:33:27 - mmengine - INFO - Epoch(train) [102][1900/3757] lr: 6.6266e-02 eta: 2 days, 16:30:13 time: 0.4015 data_time: 0.0153 memory: 13431 grad_norm: 2.6477 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8330 loss: 2.8330 2022/08/15 02:34:08 - mmengine - INFO - Epoch(train) [102][2000/3757] lr: 6.6266e-02 eta: 2 days, 16:29:34 time: 0.4060 data_time: 0.0148 memory: 13431 grad_norm: 2.5603 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.7346 loss: 2.7346 2022/08/15 02:34:48 - mmengine - INFO - Epoch(train) [102][2100/3757] lr: 6.6266e-02 eta: 2 days, 16:28:54 time: 0.3990 data_time: 0.0142 memory: 13431 grad_norm: 2.6063 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4421 loss: 2.4421 2022/08/15 02:35:29 - mmengine - INFO - Epoch(train) [102][2200/3757] lr: 6.6266e-02 eta: 2 days, 16:28:15 time: 0.4047 data_time: 0.0172 memory: 13431 grad_norm: 2.6350 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.0283 loss: 3.0283 2022/08/15 02:36:09 - mmengine - INFO - Epoch(train) [102][2300/3757] lr: 6.6266e-02 eta: 2 days, 16:27:35 time: 0.4010 data_time: 0.0165 memory: 13431 grad_norm: 2.6949 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9393 loss: 2.9393 2022/08/15 02:36:49 - mmengine - INFO - Epoch(train) [102][2400/3757] lr: 6.6266e-02 eta: 2 days, 16:26:55 time: 0.4004 data_time: 0.0154 memory: 13431 grad_norm: 2.6268 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7832 loss: 2.7832 2022/08/15 02:37:30 - mmengine - INFO - Epoch(train) [102][2500/3757] lr: 6.6266e-02 eta: 2 days, 16:26:16 time: 0.4077 data_time: 0.0148 memory: 13431 grad_norm: 2.6769 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6264 loss: 2.6264 2022/08/15 02:37:47 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 02:38:10 - mmengine - INFO - Epoch(train) [102][2600/3757] lr: 6.6266e-02 eta: 2 days, 16:25:37 time: 0.4044 data_time: 0.0158 memory: 13431 grad_norm: 2.6458 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8908 loss: 2.8908 2022/08/15 02:38:51 - mmengine - INFO - Epoch(train) [102][2700/3757] lr: 6.6266e-02 eta: 2 days, 16:24:57 time: 0.4070 data_time: 0.0149 memory: 13431 grad_norm: 2.6667 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6686 loss: 2.6686 2022/08/15 02:39:31 - mmengine - INFO - Epoch(train) [102][2800/3757] lr: 6.6266e-02 eta: 2 days, 16:24:18 time: 0.4002 data_time: 0.0140 memory: 13431 grad_norm: 2.6505 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5099 loss: 2.5099 2022/08/15 02:40:12 - mmengine - INFO - Epoch(train) [102][2900/3757] lr: 6.6266e-02 eta: 2 days, 16:23:38 time: 0.4021 data_time: 0.0157 memory: 13431 grad_norm: 2.6558 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8630 loss: 2.8630 2022/08/15 02:40:52 - mmengine - INFO - Epoch(train) [102][3000/3757] lr: 6.6266e-02 eta: 2 days, 16:22:58 time: 0.4003 data_time: 0.0143 memory: 13431 grad_norm: 2.6417 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6035 loss: 2.6035 2022/08/15 02:41:33 - mmengine - INFO - Epoch(train) [102][3100/3757] lr: 6.6266e-02 eta: 2 days, 16:22:19 time: 0.4032 data_time: 0.0157 memory: 13431 grad_norm: 2.7193 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5077 loss: 2.5077 2022/08/15 02:42:13 - mmengine - INFO - Epoch(train) [102][3200/3757] lr: 6.6266e-02 eta: 2 days, 16:21:39 time: 0.4063 data_time: 0.0143 memory: 13431 grad_norm: 2.7293 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8913 loss: 2.8913 2022/08/15 02:42:54 - mmengine - INFO - Epoch(train) [102][3300/3757] lr: 6.6266e-02 eta: 2 days, 16:21:00 time: 0.4001 data_time: 0.0140 memory: 13431 grad_norm: 2.7033 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7499 loss: 2.7499 2022/08/15 02:43:34 - mmengine - INFO - Epoch(train) [102][3400/3757] lr: 6.6266e-02 eta: 2 days, 16:20:21 time: 0.4058 data_time: 0.0142 memory: 13431 grad_norm: 2.6172 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7233 loss: 2.7233 2022/08/15 02:44:15 - mmengine - INFO - Epoch(train) [102][3500/3757] lr: 6.6266e-02 eta: 2 days, 16:19:41 time: 0.4025 data_time: 0.0154 memory: 13431 grad_norm: 2.6855 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8415 loss: 2.8415 2022/08/15 02:44:32 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 02:44:55 - mmengine - INFO - Epoch(train) [102][3600/3757] lr: 6.6266e-02 eta: 2 days, 16:19:01 time: 0.4003 data_time: 0.0140 memory: 13431 grad_norm: 2.6507 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4426 loss: 2.4426 2022/08/15 02:45:35 - mmengine - INFO - Epoch(train) [102][3700/3757] lr: 6.6266e-02 eta: 2 days, 16:18:22 time: 0.4008 data_time: 0.0151 memory: 13431 grad_norm: 2.6665 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1212 loss: 3.1212 2022/08/15 02:45:58 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 02:45:58 - mmengine - INFO - Epoch(train) [102][3757/3757] lr: 6.6266e-02 eta: 2 days, 16:18:06 time: 0.3964 data_time: 0.0138 memory: 13431 grad_norm: 2.7111 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.5574 loss: 2.5574 2022/08/15 02:46:41 - mmengine - INFO - Epoch(train) [103][100/3757] lr: 6.5684e-02 eta: 2 days, 16:17:13 time: 0.4007 data_time: 0.0145 memory: 13431 grad_norm: 2.6927 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5477 loss: 2.5477 2022/08/15 02:47:21 - mmengine - INFO - Epoch(train) [103][200/3757] lr: 6.5684e-02 eta: 2 days, 16:16:33 time: 0.3993 data_time: 0.0150 memory: 13431 grad_norm: 2.6166 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9097 loss: 2.9097 2022/08/15 02:48:02 - mmengine - INFO - Epoch(train) [103][300/3757] lr: 6.5684e-02 eta: 2 days, 16:15:54 time: 0.4052 data_time: 0.0146 memory: 13431 grad_norm: 2.7465 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7708 loss: 2.7708 2022/08/15 02:48:42 - mmengine - INFO - Epoch(train) [103][400/3757] lr: 6.5684e-02 eta: 2 days, 16:15:14 time: 0.4066 data_time: 0.0157 memory: 13431 grad_norm: 2.6980 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8134 loss: 2.8134 2022/08/15 02:49:23 - mmengine - INFO - Epoch(train) [103][500/3757] lr: 6.5684e-02 eta: 2 days, 16:14:35 time: 0.4026 data_time: 0.0147 memory: 13431 grad_norm: 2.7598 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8466 loss: 2.8466 2022/08/15 02:50:03 - mmengine - INFO - Epoch(train) [103][600/3757] lr: 6.5684e-02 eta: 2 days, 16:13:55 time: 0.4042 data_time: 0.0137 memory: 13431 grad_norm: 2.6722 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5964 loss: 2.5964 2022/08/15 02:50:44 - mmengine - INFO - Epoch(train) [103][700/3757] lr: 6.5684e-02 eta: 2 days, 16:13:16 time: 0.4084 data_time: 0.0142 memory: 13431 grad_norm: 2.6891 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8105 loss: 2.8105 2022/08/15 02:51:18 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 02:51:24 - mmengine - INFO - Epoch(train) [103][800/3757] lr: 6.5684e-02 eta: 2 days, 16:12:36 time: 0.3996 data_time: 0.0146 memory: 13431 grad_norm: 2.6136 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5258 loss: 2.5258 2022/08/15 02:52:04 - mmengine - INFO - Epoch(train) [103][900/3757] lr: 6.5684e-02 eta: 2 days, 16:11:56 time: 0.3989 data_time: 0.0145 memory: 13431 grad_norm: 2.6877 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8220 loss: 2.8220 2022/08/15 02:52:45 - mmengine - INFO - Epoch(train) [103][1000/3757] lr: 6.5684e-02 eta: 2 days, 16:11:17 time: 0.3995 data_time: 0.0145 memory: 13431 grad_norm: 2.6737 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7539 loss: 2.7539 2022/08/15 02:53:25 - mmengine - INFO - Epoch(train) [103][1100/3757] lr: 6.5684e-02 eta: 2 days, 16:10:37 time: 0.4044 data_time: 0.0146 memory: 13431 grad_norm: 2.6495 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0951 loss: 3.0951 2022/08/15 02:54:05 - mmengine - INFO - Epoch(train) [103][1200/3757] lr: 6.5684e-02 eta: 2 days, 16:09:57 time: 0.3986 data_time: 0.0151 memory: 13431 grad_norm: 2.6802 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7288 loss: 2.7288 2022/08/15 02:54:46 - mmengine - INFO - Epoch(train) [103][1300/3757] lr: 6.5684e-02 eta: 2 days, 16:09:18 time: 0.4002 data_time: 0.0139 memory: 13431 grad_norm: 2.6225 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8594 loss: 2.8594 2022/08/15 02:55:26 - mmengine - INFO - Epoch(train) [103][1400/3757] lr: 6.5684e-02 eta: 2 days, 16:08:38 time: 0.4041 data_time: 0.0145 memory: 13431 grad_norm: 2.7111 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0019 loss: 3.0019 2022/08/15 02:56:06 - mmengine - INFO - Epoch(train) [103][1500/3757] lr: 6.5684e-02 eta: 2 days, 16:07:58 time: 0.4013 data_time: 0.0160 memory: 13431 grad_norm: 2.6472 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7101 loss: 2.7101 2022/08/15 02:56:47 - mmengine - INFO - Epoch(train) [103][1600/3757] lr: 6.5684e-02 eta: 2 days, 16:07:19 time: 0.4000 data_time: 0.0136 memory: 13431 grad_norm: 2.7170 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8457 loss: 2.8457 2022/08/15 02:57:27 - mmengine - INFO - Epoch(train) [103][1700/3757] lr: 6.5684e-02 eta: 2 days, 16:06:39 time: 0.4101 data_time: 0.0148 memory: 13431 grad_norm: 2.6350 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5168 loss: 2.5168 2022/08/15 02:58:02 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 02:58:08 - mmengine - INFO - Epoch(train) [103][1800/3757] lr: 6.5684e-02 eta: 2 days, 16:06:00 time: 0.4073 data_time: 0.0169 memory: 13431 grad_norm: 2.6113 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6990 loss: 2.6990 2022/08/15 02:58:48 - mmengine - INFO - Epoch(train) [103][1900/3757] lr: 6.5684e-02 eta: 2 days, 16:05:20 time: 0.4009 data_time: 0.0158 memory: 13431 grad_norm: 2.6905 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7183 loss: 2.7183 2022/08/15 02:59:28 - mmengine - INFO - Epoch(train) [103][2000/3757] lr: 6.5684e-02 eta: 2 days, 16:04:40 time: 0.4041 data_time: 0.0163 memory: 13431 grad_norm: 2.6195 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7146 loss: 2.7146 2022/08/15 03:00:09 - mmengine - INFO - Epoch(train) [103][2100/3757] lr: 6.5684e-02 eta: 2 days, 16:04:01 time: 0.4077 data_time: 0.0142 memory: 13431 grad_norm: 2.5862 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5975 loss: 2.5975 2022/08/15 03:00:49 - mmengine - INFO - Epoch(train) [103][2200/3757] lr: 6.5684e-02 eta: 2 days, 16:03:21 time: 0.4034 data_time: 0.0181 memory: 13431 grad_norm: 2.7576 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6470 loss: 2.6470 2022/08/15 03:01:30 - mmengine - INFO - Epoch(train) [103][2300/3757] lr: 6.5684e-02 eta: 2 days, 16:02:41 time: 0.3998 data_time: 0.0144 memory: 13431 grad_norm: 2.6794 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5947 loss: 2.5947 2022/08/15 03:02:10 - mmengine - INFO - Epoch(train) [103][2400/3757] lr: 6.5684e-02 eta: 2 days, 16:02:02 time: 0.4067 data_time: 0.0150 memory: 13431 grad_norm: 2.6293 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6859 loss: 2.6859 2022/08/15 03:02:51 - mmengine - INFO - Epoch(train) [103][2500/3757] lr: 6.5684e-02 eta: 2 days, 16:01:22 time: 0.4006 data_time: 0.0148 memory: 13431 grad_norm: 2.7093 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.5841 loss: 2.5841 2022/08/15 03:03:31 - mmengine - INFO - Epoch(train) [103][2600/3757] lr: 6.5684e-02 eta: 2 days, 16:00:43 time: 0.4002 data_time: 0.0143 memory: 13431 grad_norm: 2.7106 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6506 loss: 2.6506 2022/08/15 03:04:11 - mmengine - INFO - Epoch(train) [103][2700/3757] lr: 6.5684e-02 eta: 2 days, 16:00:03 time: 0.4012 data_time: 0.0165 memory: 13431 grad_norm: 2.7043 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7347 loss: 2.7347 2022/08/15 03:04:46 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 03:04:51 - mmengine - INFO - Epoch(train) [103][2800/3757] lr: 6.5684e-02 eta: 2 days, 15:59:23 time: 0.4014 data_time: 0.0157 memory: 13431 grad_norm: 2.6898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.8294 loss: 2.8294 2022/08/15 03:05:32 - mmengine - INFO - Epoch(train) [103][2900/3757] lr: 6.5684e-02 eta: 2 days, 15:58:44 time: 0.4008 data_time: 0.0141 memory: 13431 grad_norm: 2.7634 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7916 loss: 2.7916 2022/08/15 03:06:12 - mmengine - INFO - Epoch(train) [103][3000/3757] lr: 6.5684e-02 eta: 2 days, 15:58:04 time: 0.4016 data_time: 0.0146 memory: 13431 grad_norm: 2.7230 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.0972 loss: 3.0972 2022/08/15 03:06:53 - mmengine - INFO - Epoch(train) [103][3100/3757] lr: 6.5684e-02 eta: 2 days, 15:57:25 time: 0.4067 data_time: 0.0172 memory: 13431 grad_norm: 2.6509 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8454 loss: 2.8454 2022/08/15 03:07:33 - mmengine - INFO - Epoch(train) [103][3200/3757] lr: 6.5684e-02 eta: 2 days, 15:56:45 time: 0.4061 data_time: 0.0142 memory: 13431 grad_norm: 2.7589 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6888 loss: 2.6888 2022/08/15 03:08:14 - mmengine - INFO - Epoch(train) [103][3300/3757] lr: 6.5684e-02 eta: 2 days, 15:56:06 time: 0.4011 data_time: 0.0152 memory: 13431 grad_norm: 2.6634 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0393 loss: 3.0393 2022/08/15 03:08:54 - mmengine - INFO - Epoch(train) [103][3400/3757] lr: 6.5684e-02 eta: 2 days, 15:55:26 time: 0.4036 data_time: 0.0150 memory: 13431 grad_norm: 2.6653 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8076 loss: 2.8076 2022/08/15 03:09:35 - mmengine - INFO - Epoch(train) [103][3500/3757] lr: 6.5684e-02 eta: 2 days, 15:54:47 time: 0.4135 data_time: 0.0162 memory: 13431 grad_norm: 2.6556 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8143 loss: 2.8143 2022/08/15 03:10:15 - mmengine - INFO - Epoch(train) [103][3600/3757] lr: 6.5684e-02 eta: 2 days, 15:54:07 time: 0.4018 data_time: 0.0158 memory: 13431 grad_norm: 2.6615 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6000 loss: 2.6000 2022/08/15 03:10:56 - mmengine - INFO - Epoch(train) [103][3700/3757] lr: 6.5684e-02 eta: 2 days, 15:53:28 time: 0.3994 data_time: 0.0145 memory: 13431 grad_norm: 2.7343 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0251 loss: 3.0251 2022/08/15 03:11:18 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 03:11:18 - mmengine - INFO - Epoch(train) [103][3757/3757] lr: 6.5684e-02 eta: 2 days, 15:53:12 time: 0.3890 data_time: 0.0145 memory: 13431 grad_norm: 2.6422 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 2.7941 loss: 2.7941 2022/08/15 03:11:32 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 03:12:01 - mmengine - INFO - Epoch(train) [104][100/3757] lr: 6.5100e-02 eta: 2 days, 15:52:19 time: 0.4123 data_time: 0.0145 memory: 13431 grad_norm: 2.6249 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7140 loss: 2.7140 2022/08/15 03:12:41 - mmengine - INFO - Epoch(train) [104][200/3757] lr: 6.5100e-02 eta: 2 days, 15:51:39 time: 0.4020 data_time: 0.0163 memory: 13431 grad_norm: 2.8042 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7862 loss: 2.7862 2022/08/15 03:13:22 - mmengine - INFO - Epoch(train) [104][300/3757] lr: 6.5100e-02 eta: 2 days, 15:50:59 time: 0.4039 data_time: 0.0156 memory: 13431 grad_norm: 2.6952 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.4376 loss: 2.4376 2022/08/15 03:14:02 - mmengine - INFO - Epoch(train) [104][400/3757] lr: 6.5100e-02 eta: 2 days, 15:50:19 time: 0.3995 data_time: 0.0148 memory: 13431 grad_norm: 2.7123 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6729 loss: 2.6729 2022/08/15 03:14:42 - mmengine - INFO - Epoch(train) [104][500/3757] lr: 6.5100e-02 eta: 2 days, 15:49:40 time: 0.4013 data_time: 0.0159 memory: 13431 grad_norm: 2.7101 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2698 loss: 2.2698 2022/08/15 03:15:23 - mmengine - INFO - Epoch(train) [104][600/3757] lr: 6.5100e-02 eta: 2 days, 15:49:01 time: 0.4035 data_time: 0.0154 memory: 13431 grad_norm: 2.6921 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4796 loss: 2.4796 2022/08/15 03:16:03 - mmengine - INFO - Epoch(train) [104][700/3757] lr: 6.5100e-02 eta: 2 days, 15:48:21 time: 0.4018 data_time: 0.0152 memory: 13431 grad_norm: 2.7058 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6395 loss: 2.6395 2022/08/15 03:16:44 - mmengine - INFO - Epoch(train) [104][800/3757] lr: 6.5100e-02 eta: 2 days, 15:47:42 time: 0.4062 data_time: 0.0147 memory: 13431 grad_norm: 2.6424 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.9128 loss: 2.9128 2022/08/15 03:17:24 - mmengine - INFO - Epoch(train) [104][900/3757] lr: 6.5100e-02 eta: 2 days, 15:47:02 time: 0.4020 data_time: 0.0149 memory: 13431 grad_norm: 2.7056 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7315 loss: 2.7315 2022/08/15 03:18:05 - mmengine - INFO - Epoch(train) [104][1000/3757] lr: 6.5100e-02 eta: 2 days, 15:46:22 time: 0.4035 data_time: 0.0150 memory: 13431 grad_norm: 2.6693 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4395 loss: 2.4395 2022/08/15 03:18:16 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 03:18:45 - mmengine - INFO - Epoch(train) [104][1100/3757] lr: 6.5100e-02 eta: 2 days, 15:45:42 time: 0.4009 data_time: 0.0147 memory: 13431 grad_norm: 2.6766 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5125 loss: 2.5125 2022/08/15 03:19:25 - mmengine - INFO - Epoch(train) [104][1200/3757] lr: 6.5100e-02 eta: 2 days, 15:45:03 time: 0.4004 data_time: 0.0160 memory: 13431 grad_norm: 2.6779 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6835 loss: 2.6835 2022/08/15 03:20:06 - mmengine - INFO - Epoch(train) [104][1300/3757] lr: 6.5100e-02 eta: 2 days, 15:44:23 time: 0.4002 data_time: 0.0143 memory: 13431 grad_norm: 2.7436 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2915 loss: 2.2915 2022/08/15 03:20:46 - mmengine - INFO - Epoch(train) [104][1400/3757] lr: 6.5100e-02 eta: 2 days, 15:43:43 time: 0.4006 data_time: 0.0148 memory: 13431 grad_norm: 2.7522 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.9003 loss: 2.9003 2022/08/15 03:21:27 - mmengine - INFO - Epoch(train) [104][1500/3757] lr: 6.5100e-02 eta: 2 days, 15:43:04 time: 0.4129 data_time: 0.0142 memory: 13431 grad_norm: 2.6922 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6247 loss: 2.6247 2022/08/15 03:22:07 - mmengine - INFO - Epoch(train) [104][1600/3757] lr: 6.5100e-02 eta: 2 days, 15:42:24 time: 0.3999 data_time: 0.0154 memory: 13431 grad_norm: 2.6792 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8014 loss: 2.8014 2022/08/15 03:22:47 - mmengine - INFO - Epoch(train) [104][1700/3757] lr: 6.5100e-02 eta: 2 days, 15:41:45 time: 0.4041 data_time: 0.0142 memory: 13431 grad_norm: 2.6575 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8406 loss: 2.8406 2022/08/15 03:23:28 - mmengine - INFO - Epoch(train) [104][1800/3757] lr: 6.5100e-02 eta: 2 days, 15:41:05 time: 0.4006 data_time: 0.0141 memory: 13431 grad_norm: 2.7031 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9843 loss: 2.9843 2022/08/15 03:24:08 - mmengine - INFO - Epoch(train) [104][1900/3757] lr: 6.5100e-02 eta: 2 days, 15:40:25 time: 0.4016 data_time: 0.0145 memory: 13431 grad_norm: 2.6751 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9152 loss: 2.9152 2022/08/15 03:24:49 - mmengine - INFO - Epoch(train) [104][2000/3757] lr: 6.5100e-02 eta: 2 days, 15:39:46 time: 0.4045 data_time: 0.0160 memory: 13431 grad_norm: 2.6395 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5279 loss: 2.5279 2022/08/15 03:25:00 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 03:25:29 - mmengine - INFO - Epoch(train) [104][2100/3757] lr: 6.5100e-02 eta: 2 days, 15:39:06 time: 0.3999 data_time: 0.0146 memory: 13431 grad_norm: 2.7698 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6012 loss: 2.6012 2022/08/15 03:26:09 - mmengine - INFO - Epoch(train) [104][2200/3757] lr: 6.5100e-02 eta: 2 days, 15:38:27 time: 0.4104 data_time: 0.0145 memory: 13431 grad_norm: 2.6575 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9017 loss: 2.9017 2022/08/15 03:26:50 - mmengine - INFO - Epoch(train) [104][2300/3757] lr: 6.5100e-02 eta: 2 days, 15:37:47 time: 0.3996 data_time: 0.0142 memory: 13431 grad_norm: 2.6607 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9407 loss: 2.9407 2022/08/15 03:27:30 - mmengine - INFO - Epoch(train) [104][2400/3757] lr: 6.5100e-02 eta: 2 days, 15:37:07 time: 0.4006 data_time: 0.0140 memory: 13431 grad_norm: 2.6722 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4452 loss: 2.4452 2022/08/15 03:28:10 - mmengine - INFO - Epoch(train) [104][2500/3757] lr: 6.5100e-02 eta: 2 days, 15:36:28 time: 0.3997 data_time: 0.0150 memory: 13431 grad_norm: 2.7402 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8649 loss: 2.8649 2022/08/15 03:28:51 - mmengine - INFO - Epoch(train) [104][2600/3757] lr: 6.5100e-02 eta: 2 days, 15:35:48 time: 0.4022 data_time: 0.0151 memory: 13431 grad_norm: 2.7416 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3411 loss: 2.3411 2022/08/15 03:29:31 - mmengine - INFO - Epoch(train) [104][2700/3757] lr: 6.5100e-02 eta: 2 days, 15:35:09 time: 0.3991 data_time: 0.0149 memory: 13431 grad_norm: 2.7384 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7041 loss: 2.7041 2022/08/15 03:30:12 - mmengine - INFO - Epoch(train) [104][2800/3757] lr: 6.5100e-02 eta: 2 days, 15:34:29 time: 0.4018 data_time: 0.0146 memory: 13431 grad_norm: 2.6634 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8129 loss: 2.8129 2022/08/15 03:30:52 - mmengine - INFO - Epoch(train) [104][2900/3757] lr: 6.5100e-02 eta: 2 days, 15:33:50 time: 0.4041 data_time: 0.0150 memory: 13431 grad_norm: 2.6897 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6685 loss: 2.6685 2022/08/15 03:31:33 - mmengine - INFO - Epoch(train) [104][3000/3757] lr: 6.5100e-02 eta: 2 days, 15:33:10 time: 0.4006 data_time: 0.0152 memory: 13431 grad_norm: 2.6713 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6098 loss: 2.6098 2022/08/15 03:31:44 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 03:32:13 - mmengine - INFO - Epoch(train) [104][3100/3757] lr: 6.5100e-02 eta: 2 days, 15:32:30 time: 0.3988 data_time: 0.0143 memory: 13431 grad_norm: 2.7242 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0132 loss: 3.0132 2022/08/15 03:32:53 - mmengine - INFO - Epoch(train) [104][3200/3757] lr: 6.5100e-02 eta: 2 days, 15:31:50 time: 0.4014 data_time: 0.0148 memory: 13431 grad_norm: 2.5672 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6000 loss: 2.6000 2022/08/15 03:33:34 - mmengine - INFO - Epoch(train) [104][3300/3757] lr: 6.5100e-02 eta: 2 days, 15:31:11 time: 0.4082 data_time: 0.0145 memory: 13431 grad_norm: 2.6911 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9966 loss: 2.9966 2022/08/15 03:34:14 - mmengine - INFO - Epoch(train) [104][3400/3757] lr: 6.5100e-02 eta: 2 days, 15:30:31 time: 0.4027 data_time: 0.0153 memory: 13431 grad_norm: 2.6685 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8837 loss: 2.8837 2022/08/15 03:34:55 - mmengine - INFO - Epoch(train) [104][3500/3757] lr: 6.5100e-02 eta: 2 days, 15:29:52 time: 0.3999 data_time: 0.0156 memory: 13431 grad_norm: 2.6335 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.6835 loss: 2.6835 2022/08/15 03:35:35 - mmengine - INFO - Epoch(train) [104][3600/3757] lr: 6.5100e-02 eta: 2 days, 15:29:12 time: 0.4028 data_time: 0.0141 memory: 13431 grad_norm: 2.7220 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6285 loss: 2.6285 2022/08/15 03:36:16 - mmengine - INFO - Epoch(train) [104][3700/3757] lr: 6.5100e-02 eta: 2 days, 15:28:33 time: 0.4006 data_time: 0.0164 memory: 13431 grad_norm: 2.8242 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8415 loss: 2.8415 2022/08/15 03:36:38 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 03:36:38 - mmengine - INFO - Epoch(train) [104][3757/3757] lr: 6.5100e-02 eta: 2 days, 15:28:17 time: 0.3873 data_time: 0.0137 memory: 13431 grad_norm: 2.6847 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 3.2073 loss: 3.2073 2022/08/15 03:36:38 - mmengine - INFO - Saving checkpoint at 104 epochs 2022/08/15 03:37:25 - mmengine - INFO - Epoch(train) [105][100/3757] lr: 6.4514e-02 eta: 2 days, 15:27:22 time: 0.4036 data_time: 0.0148 memory: 13431 grad_norm: 2.6038 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6838 loss: 2.6838 2022/08/15 03:38:05 - mmengine - INFO - Epoch(train) [105][200/3757] lr: 6.4514e-02 eta: 2 days, 15:26:43 time: 0.4007 data_time: 0.0150 memory: 13431 grad_norm: 2.6320 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6468 loss: 2.6468 2022/08/15 03:38:35 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 03:38:46 - mmengine - INFO - Epoch(train) [105][300/3757] lr: 6.4514e-02 eta: 2 days, 15:26:03 time: 0.4056 data_time: 0.0153 memory: 13431 grad_norm: 2.7288 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6388 loss: 2.6388 2022/08/15 03:39:26 - mmengine - INFO - Epoch(train) [105][400/3757] lr: 6.4514e-02 eta: 2 days, 15:25:23 time: 0.4032 data_time: 0.0154 memory: 13431 grad_norm: 2.6332 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.5625 loss: 2.5625 2022/08/15 03:40:06 - mmengine - INFO - Epoch(train) [105][500/3757] lr: 6.4514e-02 eta: 2 days, 15:24:44 time: 0.4030 data_time: 0.0153 memory: 13431 grad_norm: 2.7096 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.5786 loss: 2.5786 2022/08/15 03:40:47 - mmengine - INFO - Epoch(train) [105][600/3757] lr: 6.4514e-02 eta: 2 days, 15:24:04 time: 0.4001 data_time: 0.0147 memory: 13431 grad_norm: 2.7507 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7358 loss: 2.7358 2022/08/15 03:41:27 - mmengine - INFO - Epoch(train) [105][700/3757] lr: 6.4514e-02 eta: 2 days, 15:23:25 time: 0.4020 data_time: 0.0148 memory: 13431 grad_norm: 2.7056 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6694 loss: 2.6694 2022/08/15 03:42:08 - mmengine - INFO - Epoch(train) [105][800/3757] lr: 6.4514e-02 eta: 2 days, 15:22:45 time: 0.4008 data_time: 0.0145 memory: 13431 grad_norm: 2.6908 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5764 loss: 2.5764 2022/08/15 03:42:48 - mmengine - INFO - Epoch(train) [105][900/3757] lr: 6.4514e-02 eta: 2 days, 15:22:05 time: 0.4011 data_time: 0.0151 memory: 13431 grad_norm: 2.6446 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7185 loss: 2.7185 2022/08/15 03:43:29 - mmengine - INFO - Epoch(train) [105][1000/3757] lr: 6.4514e-02 eta: 2 days, 15:21:26 time: 0.4014 data_time: 0.0151 memory: 13431 grad_norm: 2.7138 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9691 loss: 2.9691 2022/08/15 03:44:09 - mmengine - INFO - Epoch(train) [105][1100/3757] lr: 6.4514e-02 eta: 2 days, 15:20:46 time: 0.3995 data_time: 0.0141 memory: 13431 grad_norm: 2.7191 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5656 loss: 2.5656 2022/08/15 03:44:50 - mmengine - INFO - Epoch(train) [105][1200/3757] lr: 6.4514e-02 eta: 2 days, 15:20:07 time: 0.4000 data_time: 0.0146 memory: 13431 grad_norm: 2.7112 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7225 loss: 2.7225 2022/08/15 03:45:19 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 03:45:30 - mmengine - INFO - Epoch(train) [105][1300/3757] lr: 6.4514e-02 eta: 2 days, 15:19:27 time: 0.4014 data_time: 0.0148 memory: 13431 grad_norm: 2.6859 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8601 loss: 2.8601 2022/08/15 03:46:10 - mmengine - INFO - Epoch(train) [105][1400/3757] lr: 6.4514e-02 eta: 2 days, 15:18:47 time: 0.3998 data_time: 0.0143 memory: 13431 grad_norm: 2.6295 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8390 loss: 2.8390 2022/08/15 03:46:51 - mmengine - INFO - Epoch(train) [105][1500/3757] lr: 6.4514e-02 eta: 2 days, 15:18:08 time: 0.4000 data_time: 0.0144 memory: 13431 grad_norm: 2.7052 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.8994 loss: 2.8994 2022/08/15 03:47:31 - mmengine - INFO - Epoch(train) [105][1600/3757] lr: 6.4514e-02 eta: 2 days, 15:17:28 time: 0.4016 data_time: 0.0161 memory: 13431 grad_norm: 2.7055 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5235 loss: 2.5235 2022/08/15 03:48:12 - mmengine - INFO - Epoch(train) [105][1700/3757] lr: 6.4514e-02 eta: 2 days, 15:16:49 time: 0.4006 data_time: 0.0146 memory: 13431 grad_norm: 2.7541 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7396 loss: 2.7396 2022/08/15 03:48:52 - mmengine - INFO - Epoch(train) [105][1800/3757] lr: 6.4514e-02 eta: 2 days, 15:16:09 time: 0.3997 data_time: 0.0138 memory: 13431 grad_norm: 2.6575 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5079 loss: 2.5079 2022/08/15 03:49:33 - mmengine - INFO - Epoch(train) [105][1900/3757] lr: 6.4514e-02 eta: 2 days, 15:15:30 time: 0.4009 data_time: 0.0146 memory: 13431 grad_norm: 2.7276 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0240 loss: 3.0240 2022/08/15 03:50:13 - mmengine - INFO - Epoch(train) [105][2000/3757] lr: 6.4514e-02 eta: 2 days, 15:14:50 time: 0.3998 data_time: 0.0146 memory: 13431 grad_norm: 2.6794 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7230 loss: 2.7230 2022/08/15 03:50:53 - mmengine - INFO - Epoch(train) [105][2100/3757] lr: 6.4514e-02 eta: 2 days, 15:14:10 time: 0.4031 data_time: 0.0152 memory: 13431 grad_norm: 2.6440 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6783 loss: 2.6783 2022/08/15 03:51:34 - mmengine - INFO - Epoch(train) [105][2200/3757] lr: 6.4514e-02 eta: 2 days, 15:13:31 time: 0.4022 data_time: 0.0158 memory: 13431 grad_norm: 2.7160 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3967 loss: 2.3967 2022/08/15 03:52:03 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 03:52:14 - mmengine - INFO - Epoch(train) [105][2300/3757] lr: 6.4514e-02 eta: 2 days, 15:12:51 time: 0.4008 data_time: 0.0145 memory: 13431 grad_norm: 2.7088 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5352 loss: 2.5352 2022/08/15 03:52:55 - mmengine - INFO - Epoch(train) [105][2400/3757] lr: 6.4514e-02 eta: 2 days, 15:12:12 time: 0.4018 data_time: 0.0145 memory: 13431 grad_norm: 2.7993 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.7143 loss: 2.7143 2022/08/15 03:53:35 - mmengine - INFO - Epoch(train) [105][2500/3757] lr: 6.4514e-02 eta: 2 days, 15:11:32 time: 0.4003 data_time: 0.0139 memory: 13431 grad_norm: 2.7171 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8254 loss: 2.8254 2022/08/15 03:54:15 - mmengine - INFO - Epoch(train) [105][2600/3757] lr: 6.4514e-02 eta: 2 days, 15:10:52 time: 0.4001 data_time: 0.0152 memory: 13431 grad_norm: 2.6672 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8353 loss: 2.8353 2022/08/15 03:54:56 - mmengine - INFO - Epoch(train) [105][2700/3757] lr: 6.4514e-02 eta: 2 days, 15:10:13 time: 0.4018 data_time: 0.0167 memory: 13431 grad_norm: 2.6794 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.7933 loss: 2.7933 2022/08/15 03:55:36 - mmengine - INFO - Epoch(train) [105][2800/3757] lr: 6.4514e-02 eta: 2 days, 15:09:33 time: 0.4024 data_time: 0.0153 memory: 13431 grad_norm: 2.6334 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8178 loss: 2.8178 2022/08/15 03:56:16 - mmengine - INFO - Epoch(train) [105][2900/3757] lr: 6.4514e-02 eta: 2 days, 15:08:53 time: 0.4039 data_time: 0.0169 memory: 13431 grad_norm: 2.6793 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7262 loss: 2.7262 2022/08/15 03:56:57 - mmengine - INFO - Epoch(train) [105][3000/3757] lr: 6.4514e-02 eta: 2 days, 15:08:14 time: 0.4003 data_time: 0.0153 memory: 13431 grad_norm: 2.7213 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.7203 loss: 2.7203 2022/08/15 03:57:37 - mmengine - INFO - Epoch(train) [105][3100/3757] lr: 6.4514e-02 eta: 2 days, 15:07:34 time: 0.4002 data_time: 0.0159 memory: 13431 grad_norm: 2.7600 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5735 loss: 2.5735 2022/08/15 03:58:18 - mmengine - INFO - Epoch(train) [105][3200/3757] lr: 6.4514e-02 eta: 2 days, 15:06:55 time: 0.4039 data_time: 0.0160 memory: 13431 grad_norm: 2.7193 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8870 loss: 2.8870 2022/08/15 03:58:47 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 03:58:58 - mmengine - INFO - Epoch(train) [105][3300/3757] lr: 6.4514e-02 eta: 2 days, 15:06:15 time: 0.4030 data_time: 0.0179 memory: 13431 grad_norm: 2.6338 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5760 loss: 2.5760 2022/08/15 03:59:39 - mmengine - INFO - Epoch(train) [105][3400/3757] lr: 6.4514e-02 eta: 2 days, 15:05:36 time: 0.4008 data_time: 0.0153 memory: 13431 grad_norm: 2.6736 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6532 loss: 2.6532 2022/08/15 04:00:19 - mmengine - INFO - Epoch(train) [105][3500/3757] lr: 6.4514e-02 eta: 2 days, 15:04:56 time: 0.4009 data_time: 0.0145 memory: 13431 grad_norm: 2.7140 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8834 loss: 2.8834 2022/08/15 04:00:59 - mmengine - INFO - Epoch(train) [105][3600/3757] lr: 6.4514e-02 eta: 2 days, 15:04:16 time: 0.4005 data_time: 0.0143 memory: 13431 grad_norm: 2.6963 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5395 loss: 2.5395 2022/08/15 04:01:40 - mmengine - INFO - Epoch(train) [105][3700/3757] lr: 6.4514e-02 eta: 2 days, 15:03:36 time: 0.4020 data_time: 0.0147 memory: 13431 grad_norm: 2.7412 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8128 loss: 2.8128 2022/08/15 04:02:03 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 04:02:03 - mmengine - INFO - Epoch(train) [105][3757/3757] lr: 6.4514e-02 eta: 2 days, 15:03:21 time: 0.3869 data_time: 0.0131 memory: 13431 grad_norm: 2.7179 top1_acc: 0.1429 top5_acc: 0.8571 loss_cls: 2.7600 loss: 2.7600 2022/08/15 04:02:25 - mmengine - INFO - Epoch(val) [105][100/310] eta: 0:00:45 time: 0.2177 data_time: 0.0871 memory: 1974 2022/08/15 04:02:46 - mmengine - INFO - Epoch(val) [105][200/310] eta: 0:00:21 time: 0.1923 data_time: 0.0613 memory: 1974 2022/08/15 04:03:07 - mmengine - INFO - Epoch(val) [105][300/310] eta: 0:00:02 time: 0.2052 data_time: 0.0771 memory: 1974 2022/08/15 04:03:12 - mmengine - INFO - Epoch(val) [105][310/310] acc/top1: 0.4493 acc/top5: 0.7227 acc/mean1: 0.4495 2022/08/15 04:03:13 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_101.pth is removed 2022/08/15 04:03:16 - mmengine - INFO - The best checkpoint with 0.4493 acc/top1 at 106 epoch is saved to best_acc/top1_epoch_106.pth. 2022/08/15 04:03:57 - mmengine - INFO - Epoch(train) [106][100/3757] lr: 6.3926e-02 eta: 2 days, 15:02:26 time: 0.3991 data_time: 0.0153 memory: 13431 grad_norm: 2.7461 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7058 loss: 2.7058 2022/08/15 04:04:38 - mmengine - INFO - Epoch(train) [106][200/3757] lr: 6.3926e-02 eta: 2 days, 15:01:46 time: 0.4033 data_time: 0.0142 memory: 13431 grad_norm: 2.7463 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8640 loss: 2.8640 2022/08/15 04:05:18 - mmengine - INFO - Epoch(train) [106][300/3757] lr: 6.3926e-02 eta: 2 days, 15:01:06 time: 0.3984 data_time: 0.0139 memory: 13431 grad_norm: 2.7019 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8690 loss: 2.8690 2022/08/15 04:05:58 - mmengine - INFO - Epoch(train) [106][400/3757] lr: 6.3926e-02 eta: 2 days, 15:00:27 time: 0.4005 data_time: 0.0155 memory: 13431 grad_norm: 2.7982 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7933 loss: 2.7933 2022/08/15 04:06:39 - mmengine - INFO - Epoch(train) [106][500/3757] lr: 6.3926e-02 eta: 2 days, 14:59:47 time: 0.4001 data_time: 0.0141 memory: 13431 grad_norm: 2.7591 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7067 loss: 2.7067 2022/08/15 04:06:45 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 04:07:19 - mmengine - INFO - Epoch(train) [106][600/3757] lr: 6.3926e-02 eta: 2 days, 14:59:07 time: 0.4057 data_time: 0.0141 memory: 13431 grad_norm: 2.7223 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5975 loss: 2.5975 2022/08/15 04:08:00 - mmengine - INFO - Epoch(train) [106][700/3757] lr: 6.3926e-02 eta: 2 days, 14:58:28 time: 0.4020 data_time: 0.0141 memory: 13431 grad_norm: 2.7480 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6959 loss: 2.6959 2022/08/15 04:08:40 - mmengine - INFO - Epoch(train) [106][800/3757] lr: 6.3926e-02 eta: 2 days, 14:57:48 time: 0.4005 data_time: 0.0150 memory: 13431 grad_norm: 2.7828 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5803 loss: 2.5803 2022/08/15 04:09:20 - mmengine - INFO - Epoch(train) [106][900/3757] lr: 6.3926e-02 eta: 2 days, 14:57:09 time: 0.4048 data_time: 0.0143 memory: 13431 grad_norm: 2.8424 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5795 loss: 2.5795 2022/08/15 04:10:01 - mmengine - INFO - Epoch(train) [106][1000/3757] lr: 6.3926e-02 eta: 2 days, 14:56:29 time: 0.4007 data_time: 0.0146 memory: 13431 grad_norm: 2.7243 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8524 loss: 2.8524 2022/08/15 04:10:41 - mmengine - INFO - Epoch(train) [106][1100/3757] lr: 6.3926e-02 eta: 2 days, 14:55:49 time: 0.4107 data_time: 0.0154 memory: 13431 grad_norm: 2.6618 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.9392 loss: 2.9392 2022/08/15 04:11:22 - mmengine - INFO - Epoch(train) [106][1200/3757] lr: 6.3926e-02 eta: 2 days, 14:55:10 time: 0.4016 data_time: 0.0144 memory: 13431 grad_norm: 2.6810 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.8410 loss: 2.8410 2022/08/15 04:12:02 - mmengine - INFO - Epoch(train) [106][1300/3757] lr: 6.3926e-02 eta: 2 days, 14:54:30 time: 0.4051 data_time: 0.0147 memory: 13431 grad_norm: 2.6981 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6955 loss: 2.6955 2022/08/15 04:12:43 - mmengine - INFO - Epoch(train) [106][1400/3757] lr: 6.3926e-02 eta: 2 days, 14:53:51 time: 0.4008 data_time: 0.0146 memory: 13431 grad_norm: 2.7193 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0514 loss: 3.0514 2022/08/15 04:13:23 - mmengine - INFO - Epoch(train) [106][1500/3757] lr: 6.3926e-02 eta: 2 days, 14:53:11 time: 0.3996 data_time: 0.0139 memory: 13431 grad_norm: 2.7196 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7829 loss: 2.7829 2022/08/15 04:13:29 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 04:14:03 - mmengine - INFO - Epoch(train) [106][1600/3757] lr: 6.3926e-02 eta: 2 days, 14:52:31 time: 0.4041 data_time: 0.0151 memory: 13431 grad_norm: 2.6842 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7236 loss: 2.7236 2022/08/15 04:14:44 - mmengine - INFO - Epoch(train) [106][1700/3757] lr: 6.3926e-02 eta: 2 days, 14:51:52 time: 0.4048 data_time: 0.0157 memory: 13431 grad_norm: 2.6617 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6107 loss: 2.6107 2022/08/15 04:15:24 - mmengine - INFO - Epoch(train) [106][1800/3757] lr: 6.3926e-02 eta: 2 days, 14:51:12 time: 0.4031 data_time: 0.0146 memory: 13431 grad_norm: 2.6571 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.7867 loss: 2.7867 2022/08/15 04:16:05 - mmengine - INFO - Epoch(train) [106][1900/3757] lr: 6.3926e-02 eta: 2 days, 14:50:33 time: 0.4020 data_time: 0.0144 memory: 13431 grad_norm: 2.6534 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7034 loss: 2.7034 2022/08/15 04:16:45 - mmengine - INFO - Epoch(train) [106][2000/3757] lr: 6.3926e-02 eta: 2 days, 14:49:54 time: 0.4002 data_time: 0.0155 memory: 13431 grad_norm: 2.7308 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8301 loss: 2.8301 2022/08/15 04:17:26 - mmengine - INFO - Epoch(train) [106][2100/3757] lr: 6.3926e-02 eta: 2 days, 14:49:14 time: 0.4018 data_time: 0.0157 memory: 13431 grad_norm: 2.6885 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9246 loss: 2.9246 2022/08/15 04:18:06 - mmengine - INFO - Epoch(train) [106][2200/3757] lr: 6.3926e-02 eta: 2 days, 14:48:34 time: 0.3999 data_time: 0.0153 memory: 13431 grad_norm: 2.7883 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9165 loss: 2.9165 2022/08/15 04:18:47 - mmengine - INFO - Epoch(train) [106][2300/3757] lr: 6.3926e-02 eta: 2 days, 14:47:55 time: 0.4049 data_time: 0.0141 memory: 13431 grad_norm: 2.6931 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4527 loss: 2.4527 2022/08/15 04:19:27 - mmengine - INFO - Epoch(train) [106][2400/3757] lr: 6.3926e-02 eta: 2 days, 14:47:15 time: 0.4016 data_time: 0.0157 memory: 13431 grad_norm: 2.6705 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6981 loss: 2.6981 2022/08/15 04:20:08 - mmengine - INFO - Epoch(train) [106][2500/3757] lr: 6.3926e-02 eta: 2 days, 14:46:36 time: 0.3994 data_time: 0.0137 memory: 13431 grad_norm: 2.7214 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6855 loss: 2.6855 2022/08/15 04:20:14 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 04:20:48 - mmengine - INFO - Epoch(train) [106][2600/3757] lr: 6.3926e-02 eta: 2 days, 14:45:56 time: 0.4006 data_time: 0.0154 memory: 13431 grad_norm: 2.7583 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8409 loss: 2.8409 2022/08/15 04:21:28 - mmengine - INFO - Epoch(train) [106][2700/3757] lr: 6.3926e-02 eta: 2 days, 14:45:16 time: 0.4011 data_time: 0.0143 memory: 13431 grad_norm: 2.5889 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7001 loss: 2.7001 2022/08/15 04:22:09 - mmengine - INFO - Epoch(train) [106][2800/3757] lr: 6.3926e-02 eta: 2 days, 14:44:37 time: 0.4012 data_time: 0.0159 memory: 13431 grad_norm: 2.6982 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9607 loss: 2.9607 2022/08/15 04:22:49 - mmengine - INFO - Epoch(train) [106][2900/3757] lr: 6.3926e-02 eta: 2 days, 14:43:57 time: 0.4032 data_time: 0.0150 memory: 13431 grad_norm: 2.7520 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.9901 loss: 2.9901 2022/08/15 04:23:30 - mmengine - INFO - Epoch(train) [106][3000/3757] lr: 6.3926e-02 eta: 2 days, 14:43:18 time: 0.4078 data_time: 0.0141 memory: 13431 grad_norm: 2.4849 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9120 loss: 2.9120 2022/08/15 04:24:10 - mmengine - INFO - Epoch(train) [106][3100/3757] lr: 6.3926e-02 eta: 2 days, 14:42:38 time: 0.4007 data_time: 0.0148 memory: 13431 grad_norm: 2.7366 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7624 loss: 2.7624 2022/08/15 04:24:50 - mmengine - INFO - Epoch(train) [106][3200/3757] lr: 6.3926e-02 eta: 2 days, 14:41:58 time: 0.4000 data_time: 0.0149 memory: 13431 grad_norm: 2.6829 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8147 loss: 2.8147 2022/08/15 04:25:31 - mmengine - INFO - Epoch(train) [106][3300/3757] lr: 6.3926e-02 eta: 2 days, 14:41:19 time: 0.4103 data_time: 0.0153 memory: 13431 grad_norm: 2.6997 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9105 loss: 2.9105 2022/08/15 04:26:11 - mmengine - INFO - Epoch(train) [106][3400/3757] lr: 6.3926e-02 eta: 2 days, 14:40:39 time: 0.4062 data_time: 0.0141 memory: 13431 grad_norm: 2.6611 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7124 loss: 2.7124 2022/08/15 04:26:52 - mmengine - INFO - Epoch(train) [106][3500/3757] lr: 6.3926e-02 eta: 2 days, 14:40:00 time: 0.4022 data_time: 0.0155 memory: 13431 grad_norm: 2.7833 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8380 loss: 2.8380 2022/08/15 04:26:58 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 04:27:32 - mmengine - INFO - Epoch(train) [106][3600/3757] lr: 6.3926e-02 eta: 2 days, 14:39:20 time: 0.4054 data_time: 0.0168 memory: 13431 grad_norm: 2.7440 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5174 loss: 2.5174 2022/08/15 04:28:13 - mmengine - INFO - Epoch(train) [106][3700/3757] lr: 6.3926e-02 eta: 2 days, 14:38:40 time: 0.4022 data_time: 0.0138 memory: 13431 grad_norm: 2.7949 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8152 loss: 2.8152 2022/08/15 04:28:36 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 04:28:36 - mmengine - INFO - Epoch(train) [106][3757/3757] lr: 6.3926e-02 eta: 2 days, 14:38:25 time: 0.3887 data_time: 0.0146 memory: 13431 grad_norm: 2.7626 top1_acc: 0.4286 top5_acc: 0.4286 loss_cls: 3.1454 loss: 3.1454 2022/08/15 04:29:18 - mmengine - INFO - Epoch(train) [107][100/3757] lr: 6.3336e-02 eta: 2 days, 14:37:31 time: 0.4021 data_time: 0.0156 memory: 13431 grad_norm: 2.6206 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5154 loss: 2.5154 2022/08/15 04:29:58 - mmengine - INFO - Epoch(train) [107][200/3757] lr: 6.3336e-02 eta: 2 days, 14:36:51 time: 0.4008 data_time: 0.0148 memory: 13431 grad_norm: 2.7497 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6030 loss: 2.6030 2022/08/15 04:30:38 - mmengine - INFO - Epoch(train) [107][300/3757] lr: 6.3336e-02 eta: 2 days, 14:36:12 time: 0.4014 data_time: 0.0150 memory: 13431 grad_norm: 2.6868 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6906 loss: 2.6906 2022/08/15 04:31:19 - mmengine - INFO - Epoch(train) [107][400/3757] lr: 6.3336e-02 eta: 2 days, 14:35:32 time: 0.4035 data_time: 0.0139 memory: 13431 grad_norm: 2.7711 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6175 loss: 2.6175 2022/08/15 04:31:59 - mmengine - INFO - Epoch(train) [107][500/3757] lr: 6.3336e-02 eta: 2 days, 14:34:52 time: 0.4033 data_time: 0.0153 memory: 13431 grad_norm: 2.7954 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6789 loss: 2.6789 2022/08/15 04:32:40 - mmengine - INFO - Epoch(train) [107][600/3757] lr: 6.3336e-02 eta: 2 days, 14:34:13 time: 0.4047 data_time: 0.0150 memory: 13431 grad_norm: 2.7670 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6783 loss: 2.6783 2022/08/15 04:33:20 - mmengine - INFO - Epoch(train) [107][700/3757] lr: 6.3336e-02 eta: 2 days, 14:33:33 time: 0.4008 data_time: 0.0147 memory: 13431 grad_norm: 2.7853 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6101 loss: 2.6101 2022/08/15 04:33:44 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 04:34:01 - mmengine - INFO - Epoch(train) [107][800/3757] lr: 6.3336e-02 eta: 2 days, 14:32:54 time: 0.4023 data_time: 0.0155 memory: 13431 grad_norm: 2.6681 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.7013 loss: 2.7013 2022/08/15 04:34:41 - mmengine - INFO - Epoch(train) [107][900/3757] lr: 6.3336e-02 eta: 2 days, 14:32:14 time: 0.4012 data_time: 0.0151 memory: 13431 grad_norm: 2.7510 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7250 loss: 2.7250 2022/08/15 04:35:21 - mmengine - INFO - Epoch(train) [107][1000/3757] lr: 6.3336e-02 eta: 2 days, 14:31:34 time: 0.3998 data_time: 0.0151 memory: 13431 grad_norm: 2.5957 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5325 loss: 2.5325 2022/08/15 04:36:02 - mmengine - INFO - Epoch(train) [107][1100/3757] lr: 6.3336e-02 eta: 2 days, 14:30:55 time: 0.4008 data_time: 0.0139 memory: 13431 grad_norm: 2.7627 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3470 loss: 2.3470 2022/08/15 04:36:42 - mmengine - INFO - Epoch(train) [107][1200/3757] lr: 6.3336e-02 eta: 2 days, 14:30:15 time: 0.4027 data_time: 0.0152 memory: 13431 grad_norm: 2.7356 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5988 loss: 2.5988 2022/08/15 04:37:22 - mmengine - INFO - Epoch(train) [107][1300/3757] lr: 6.3336e-02 eta: 2 days, 14:29:35 time: 0.4023 data_time: 0.0147 memory: 13431 grad_norm: 2.6463 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5822 loss: 2.5822 2022/08/15 04:38:03 - mmengine - INFO - Epoch(train) [107][1400/3757] lr: 6.3336e-02 eta: 2 days, 14:28:56 time: 0.4000 data_time: 0.0157 memory: 13431 grad_norm: 2.7159 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8803 loss: 2.8803 2022/08/15 04:38:43 - mmengine - INFO - Epoch(train) [107][1500/3757] lr: 6.3336e-02 eta: 2 days, 14:28:16 time: 0.4034 data_time: 0.0153 memory: 13431 grad_norm: 2.7523 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8671 loss: 2.8671 2022/08/15 04:39:24 - mmengine - INFO - Epoch(train) [107][1600/3757] lr: 6.3336e-02 eta: 2 days, 14:27:36 time: 0.4014 data_time: 0.0152 memory: 13431 grad_norm: 2.6329 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9201 loss: 2.9201 2022/08/15 04:40:04 - mmengine - INFO - Epoch(train) [107][1700/3757] lr: 6.3336e-02 eta: 2 days, 14:26:57 time: 0.4006 data_time: 0.0148 memory: 13431 grad_norm: 2.7483 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4816 loss: 2.4816 2022/08/15 04:40:28 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 04:40:45 - mmengine - INFO - Epoch(train) [107][1800/3757] lr: 6.3336e-02 eta: 2 days, 14:26:17 time: 0.4014 data_time: 0.0143 memory: 13431 grad_norm: 2.7440 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8974 loss: 2.8974 2022/08/15 04:41:25 - mmengine - INFO - Epoch(train) [107][1900/3757] lr: 6.3336e-02 eta: 2 days, 14:25:38 time: 0.4016 data_time: 0.0144 memory: 13431 grad_norm: 2.7222 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8068 loss: 2.8068 2022/08/15 04:42:05 - mmengine - INFO - Epoch(train) [107][2000/3757] lr: 6.3336e-02 eta: 2 days, 14:24:58 time: 0.4001 data_time: 0.0147 memory: 13431 grad_norm: 2.5421 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.6056 loss: 2.6056 2022/08/15 04:42:46 - mmengine - INFO - Epoch(train) [107][2100/3757] lr: 6.3336e-02 eta: 2 days, 14:24:18 time: 0.4020 data_time: 0.0141 memory: 13431 grad_norm: 2.8083 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5468 loss: 2.5468 2022/08/15 04:43:26 - mmengine - INFO - Epoch(train) [107][2200/3757] lr: 6.3336e-02 eta: 2 days, 14:23:39 time: 0.4044 data_time: 0.0148 memory: 13431 grad_norm: 2.7309 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7392 loss: 2.7392 2022/08/15 04:44:07 - mmengine - INFO - Epoch(train) [107][2300/3757] lr: 6.3336e-02 eta: 2 days, 14:22:59 time: 0.4007 data_time: 0.0154 memory: 13431 grad_norm: 2.8406 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9510 loss: 2.9510 2022/08/15 04:44:47 - mmengine - INFO - Epoch(train) [107][2400/3757] lr: 6.3336e-02 eta: 2 days, 14:22:20 time: 0.4001 data_time: 0.0142 memory: 13431 grad_norm: 2.7607 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5558 loss: 2.5558 2022/08/15 04:45:28 - mmengine - INFO - Epoch(train) [107][2500/3757] lr: 6.3336e-02 eta: 2 days, 14:21:40 time: 0.4005 data_time: 0.0141 memory: 13431 grad_norm: 2.6285 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5893 loss: 2.5893 2022/08/15 04:46:08 - mmengine - INFO - Epoch(train) [107][2600/3757] lr: 6.3336e-02 eta: 2 days, 14:21:01 time: 0.4009 data_time: 0.0152 memory: 13431 grad_norm: 2.8113 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3585 loss: 2.3585 2022/08/15 04:46:49 - mmengine - INFO - Epoch(train) [107][2700/3757] lr: 6.3336e-02 eta: 2 days, 14:20:21 time: 0.4015 data_time: 0.0158 memory: 13431 grad_norm: 2.7544 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6391 loss: 2.6391 2022/08/15 04:47:12 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 04:47:29 - mmengine - INFO - Epoch(train) [107][2800/3757] lr: 6.3336e-02 eta: 2 days, 14:19:42 time: 0.4029 data_time: 0.0156 memory: 13431 grad_norm: 2.7343 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7038 loss: 2.7038 2022/08/15 04:48:10 - mmengine - INFO - Epoch(train) [107][2900/3757] lr: 6.3336e-02 eta: 2 days, 14:19:02 time: 0.4036 data_time: 0.0163 memory: 13431 grad_norm: 2.7160 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8462 loss: 2.8462 2022/08/15 04:48:50 - mmengine - INFO - Epoch(train) [107][3000/3757] lr: 6.3336e-02 eta: 2 days, 14:18:22 time: 0.4013 data_time: 0.0154 memory: 13431 grad_norm: 2.6251 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9455 loss: 2.9455 2022/08/15 04:49:30 - mmengine - INFO - Epoch(train) [107][3100/3757] lr: 6.3336e-02 eta: 2 days, 14:17:43 time: 0.4010 data_time: 0.0147 memory: 13431 grad_norm: 2.7387 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7518 loss: 2.7518 2022/08/15 04:50:11 - mmengine - INFO - Epoch(train) [107][3200/3757] lr: 6.3336e-02 eta: 2 days, 14:17:03 time: 0.4005 data_time: 0.0158 memory: 13431 grad_norm: 2.7443 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9962 loss: 2.9962 2022/08/15 04:50:51 - mmengine - INFO - Epoch(train) [107][3300/3757] lr: 6.3336e-02 eta: 2 days, 14:16:24 time: 0.4005 data_time: 0.0148 memory: 13431 grad_norm: 2.7482 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.9046 loss: 2.9046 2022/08/15 04:51:32 - mmengine - INFO - Epoch(train) [107][3400/3757] lr: 6.3336e-02 eta: 2 days, 14:15:44 time: 0.4003 data_time: 0.0147 memory: 13431 grad_norm: 2.6484 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6849 loss: 2.6849 2022/08/15 04:52:12 - mmengine - INFO - Epoch(train) [107][3500/3757] lr: 6.3336e-02 eta: 2 days, 14:15:05 time: 0.4028 data_time: 0.0171 memory: 13431 grad_norm: 2.6778 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5853 loss: 2.5853 2022/08/15 04:52:52 - mmengine - INFO - Epoch(train) [107][3600/3757] lr: 6.3336e-02 eta: 2 days, 14:14:25 time: 0.4007 data_time: 0.0153 memory: 13431 grad_norm: 2.7004 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7673 loss: 2.7673 2022/08/15 04:53:33 - mmengine - INFO - Epoch(train) [107][3700/3757] lr: 6.3336e-02 eta: 2 days, 14:13:45 time: 0.4026 data_time: 0.0143 memory: 13431 grad_norm: 2.7502 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9047 loss: 2.9047 2022/08/15 04:53:56 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 04:53:56 - mmengine - INFO - Epoch(train) [107][3757/3757] lr: 6.3336e-02 eta: 2 days, 14:13:29 time: 0.3930 data_time: 0.0135 memory: 13431 grad_norm: 2.6789 top1_acc: 0.1429 top5_acc: 0.5714 loss_cls: 2.7939 loss: 2.7939 2022/08/15 04:53:58 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 04:54:38 - mmengine - INFO - Epoch(train) [108][100/3757] lr: 6.2743e-02 eta: 2 days, 14:12:36 time: 0.4027 data_time: 0.0149 memory: 13431 grad_norm: 2.7912 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8772 loss: 2.8772 2022/08/15 04:55:18 - mmengine - INFO - Epoch(train) [108][200/3757] lr: 6.2743e-02 eta: 2 days, 14:11:56 time: 0.4013 data_time: 0.0156 memory: 13431 grad_norm: 2.7144 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7508 loss: 2.7508 2022/08/15 04:55:59 - mmengine - INFO - Epoch(train) [108][300/3757] lr: 6.2743e-02 eta: 2 days, 14:11:17 time: 0.4065 data_time: 0.0142 memory: 13431 grad_norm: 2.7133 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6744 loss: 2.6744 2022/08/15 04:56:40 - mmengine - INFO - Epoch(train) [108][400/3757] lr: 6.2743e-02 eta: 2 days, 14:10:38 time: 0.4015 data_time: 0.0144 memory: 13431 grad_norm: 2.6973 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.4356 loss: 2.4356 2022/08/15 04:57:20 - mmengine - INFO - Epoch(train) [108][500/3757] lr: 6.2743e-02 eta: 2 days, 14:09:58 time: 0.4003 data_time: 0.0140 memory: 13431 grad_norm: 2.6766 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6843 loss: 2.6843 2022/08/15 04:58:00 - mmengine - INFO - Epoch(train) [108][600/3757] lr: 6.2743e-02 eta: 2 days, 14:09:18 time: 0.4004 data_time: 0.0160 memory: 13431 grad_norm: 2.7462 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.7689 loss: 2.7689 2022/08/15 04:58:40 - mmengine - INFO - Epoch(train) [108][700/3757] lr: 6.2743e-02 eta: 2 days, 14:08:38 time: 0.4079 data_time: 0.0154 memory: 13431 grad_norm: 2.6698 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7827 loss: 2.7827 2022/08/15 04:59:21 - mmengine - INFO - Epoch(train) [108][800/3757] lr: 6.2743e-02 eta: 2 days, 14:07:59 time: 0.4113 data_time: 0.0158 memory: 13431 grad_norm: 2.7368 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6081 loss: 2.6081 2022/08/15 05:00:01 - mmengine - INFO - Epoch(train) [108][900/3757] lr: 6.2743e-02 eta: 2 days, 14:07:19 time: 0.4023 data_time: 0.0155 memory: 13431 grad_norm: 2.7651 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.7051 loss: 2.7051 2022/08/15 05:00:42 - mmengine - INFO - Epoch(train) [108][1000/3757] lr: 6.2743e-02 eta: 2 days, 14:06:40 time: 0.4030 data_time: 0.0186 memory: 13431 grad_norm: 2.6757 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3606 loss: 2.3606 2022/08/15 05:00:42 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 05:01:23 - mmengine - INFO - Epoch(train) [108][1100/3757] lr: 6.2743e-02 eta: 2 days, 14:06:00 time: 0.4011 data_time: 0.0155 memory: 13431 grad_norm: 2.8811 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8690 loss: 2.8690 2022/08/15 05:02:03 - mmengine - INFO - Epoch(train) [108][1200/3757] lr: 6.2743e-02 eta: 2 days, 14:05:20 time: 0.4021 data_time: 0.0151 memory: 13431 grad_norm: 2.6827 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6476 loss: 2.6476 2022/08/15 05:02:43 - mmengine - INFO - Epoch(train) [108][1300/3757] lr: 6.2743e-02 eta: 2 days, 14:04:41 time: 0.4043 data_time: 0.0150 memory: 13431 grad_norm: 2.7159 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8786 loss: 2.8786 2022/08/15 05:03:24 - mmengine - INFO - Epoch(train) [108][1400/3757] lr: 6.2743e-02 eta: 2 days, 14:04:01 time: 0.4107 data_time: 0.0147 memory: 13431 grad_norm: 2.8130 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9427 loss: 2.9427 2022/08/15 05:04:04 - mmengine - INFO - Epoch(train) [108][1500/3757] lr: 6.2743e-02 eta: 2 days, 14:03:22 time: 0.4125 data_time: 0.0148 memory: 13431 grad_norm: 2.7544 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5144 loss: 2.5144 2022/08/15 05:04:45 - mmengine - INFO - Epoch(train) [108][1600/3757] lr: 6.2743e-02 eta: 2 days, 14:02:42 time: 0.4021 data_time: 0.0157 memory: 13431 grad_norm: 2.8029 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 2.7688 loss: 2.7688 2022/08/15 05:05:25 - mmengine - INFO - Epoch(train) [108][1700/3757] lr: 6.2743e-02 eta: 2 days, 14:02:03 time: 0.3996 data_time: 0.0158 memory: 13431 grad_norm: 2.7508 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8036 loss: 2.8036 2022/08/15 05:06:06 - mmengine - INFO - Epoch(train) [108][1800/3757] lr: 6.2743e-02 eta: 2 days, 14:01:23 time: 0.4037 data_time: 0.0142 memory: 13431 grad_norm: 2.8360 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0737 loss: 3.0737 2022/08/15 05:06:46 - mmengine - INFO - Epoch(train) [108][1900/3757] lr: 6.2743e-02 eta: 2 days, 14:00:44 time: 0.4033 data_time: 0.0159 memory: 13431 grad_norm: 2.8657 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9913 loss: 2.9913 2022/08/15 05:07:26 - mmengine - INFO - Epoch(train) [108][2000/3757] lr: 6.2743e-02 eta: 2 days, 14:00:04 time: 0.4028 data_time: 0.0153 memory: 13431 grad_norm: 2.8698 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7832 loss: 2.7832 2022/08/15 05:07:27 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 05:08:07 - mmengine - INFO - Epoch(train) [108][2100/3757] lr: 6.2743e-02 eta: 2 days, 13:59:24 time: 0.4006 data_time: 0.0145 memory: 13431 grad_norm: 2.7342 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7078 loss: 2.7078 2022/08/15 05:08:48 - mmengine - INFO - Epoch(train) [108][2200/3757] lr: 6.2743e-02 eta: 2 days, 13:58:45 time: 0.4082 data_time: 0.0148 memory: 13431 grad_norm: 2.8146 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6399 loss: 2.6399 2022/08/15 05:09:28 - mmengine - INFO - Epoch(train) [108][2300/3757] lr: 6.2743e-02 eta: 2 days, 13:58:05 time: 0.4067 data_time: 0.0149 memory: 13431 grad_norm: 2.7205 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7787 loss: 2.7787 2022/08/15 05:10:09 - mmengine - INFO - Epoch(train) [108][2400/3757] lr: 6.2743e-02 eta: 2 days, 13:57:26 time: 0.4061 data_time: 0.0141 memory: 13431 grad_norm: 2.6673 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6979 loss: 2.6979 2022/08/15 05:10:49 - mmengine - INFO - Epoch(train) [108][2500/3757] lr: 6.2743e-02 eta: 2 days, 13:56:46 time: 0.4002 data_time: 0.0144 memory: 13431 grad_norm: 2.6623 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7997 loss: 2.7997 2022/08/15 05:11:29 - mmengine - INFO - Epoch(train) [108][2600/3757] lr: 6.2743e-02 eta: 2 days, 13:56:06 time: 0.4002 data_time: 0.0146 memory: 13431 grad_norm: 2.7041 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8049 loss: 2.8049 2022/08/15 05:12:10 - mmengine - INFO - Epoch(train) [108][2700/3757] lr: 6.2743e-02 eta: 2 days, 13:55:27 time: 0.4013 data_time: 0.0149 memory: 13431 grad_norm: 2.6870 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6352 loss: 2.6352 2022/08/15 05:12:50 - mmengine - INFO - Epoch(train) [108][2800/3757] lr: 6.2743e-02 eta: 2 days, 13:54:47 time: 0.4017 data_time: 0.0146 memory: 13431 grad_norm: 2.7232 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0240 loss: 3.0240 2022/08/15 05:13:31 - mmengine - INFO - Epoch(train) [108][2900/3757] lr: 6.2743e-02 eta: 2 days, 13:54:08 time: 0.4068 data_time: 0.0141 memory: 13431 grad_norm: 2.8360 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8874 loss: 2.8874 2022/08/15 05:14:11 - mmengine - INFO - Epoch(train) [108][3000/3757] lr: 6.2743e-02 eta: 2 days, 13:53:28 time: 0.4023 data_time: 0.0147 memory: 13431 grad_norm: 2.6632 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.6575 loss: 2.6575 2022/08/15 05:14:11 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 05:14:52 - mmengine - INFO - Epoch(train) [108][3100/3757] lr: 6.2743e-02 eta: 2 days, 13:52:49 time: 0.4070 data_time: 0.0146 memory: 13431 grad_norm: 2.7231 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.8721 loss: 2.8721 2022/08/15 05:15:32 - mmengine - INFO - Epoch(train) [108][3200/3757] lr: 6.2743e-02 eta: 2 days, 13:52:09 time: 0.4009 data_time: 0.0155 memory: 13431 grad_norm: 2.7036 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0902 loss: 3.0902 2022/08/15 05:16:13 - mmengine - INFO - Epoch(train) [108][3300/3757] lr: 6.2743e-02 eta: 2 days, 13:51:30 time: 0.4019 data_time: 0.0147 memory: 13431 grad_norm: 2.6904 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.7774 loss: 2.7774 2022/08/15 05:16:53 - mmengine - INFO - Epoch(train) [108][3400/3757] lr: 6.2743e-02 eta: 2 days, 13:50:50 time: 0.4026 data_time: 0.0147 memory: 13431 grad_norm: 2.7036 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8401 loss: 2.8401 2022/08/15 05:17:33 - mmengine - INFO - Epoch(train) [108][3500/3757] lr: 6.2743e-02 eta: 2 days, 13:50:10 time: 0.4030 data_time: 0.0159 memory: 13431 grad_norm: 2.8293 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6809 loss: 2.6809 2022/08/15 05:18:14 - mmengine - INFO - Epoch(train) [108][3600/3757] lr: 6.2743e-02 eta: 2 days, 13:49:31 time: 0.4041 data_time: 0.0144 memory: 13431 grad_norm: 2.7813 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6780 loss: 2.6780 2022/08/15 05:18:54 - mmengine - INFO - Epoch(train) [108][3700/3757] lr: 6.2743e-02 eta: 2 days, 13:48:51 time: 0.4027 data_time: 0.0147 memory: 13431 grad_norm: 2.6949 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3614 loss: 2.3614 2022/08/15 05:19:17 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 05:19:17 - mmengine - INFO - Epoch(train) [108][3757/3757] lr: 6.2743e-02 eta: 2 days, 13:48:35 time: 0.3896 data_time: 0.0143 memory: 13431 grad_norm: 2.6909 top1_acc: 0.4286 top5_acc: 0.4286 loss_cls: 2.5039 loss: 2.5039 2022/08/15 05:19:17 - mmengine - INFO - Saving checkpoint at 108 epochs 2022/08/15 05:20:04 - mmengine - INFO - Epoch(train) [109][100/3757] lr: 6.2149e-02 eta: 2 days, 13:47:41 time: 0.4052 data_time: 0.0147 memory: 13431 grad_norm: 2.7813 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7617 loss: 2.7617 2022/08/15 05:20:45 - mmengine - INFO - Epoch(train) [109][200/3757] lr: 6.2149e-02 eta: 2 days, 13:47:01 time: 0.4020 data_time: 0.0161 memory: 13431 grad_norm: 2.7867 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0627 loss: 3.0627 2022/08/15 05:21:03 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 05:21:25 - mmengine - INFO - Epoch(train) [109][300/3757] lr: 6.2149e-02 eta: 2 days, 13:46:22 time: 0.4020 data_time: 0.0158 memory: 13431 grad_norm: 2.7410 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7344 loss: 2.7344 2022/08/15 05:22:06 - mmengine - INFO - Epoch(train) [109][400/3757] lr: 6.2149e-02 eta: 2 days, 13:45:42 time: 0.4121 data_time: 0.0154 memory: 13431 grad_norm: 2.7051 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2254 loss: 3.2254 2022/08/15 05:22:46 - mmengine - INFO - Epoch(train) [109][500/3757] lr: 6.2149e-02 eta: 2 days, 13:45:02 time: 0.4012 data_time: 0.0154 memory: 13431 grad_norm: 2.7450 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5940 loss: 2.5940 2022/08/15 05:23:27 - mmengine - INFO - Epoch(train) [109][600/3757] lr: 6.2149e-02 eta: 2 days, 13:44:23 time: 0.4037 data_time: 0.0147 memory: 13431 grad_norm: 2.8687 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0946 loss: 3.0946 2022/08/15 05:24:07 - mmengine - INFO - Epoch(train) [109][700/3757] lr: 6.2149e-02 eta: 2 days, 13:43:43 time: 0.4009 data_time: 0.0146 memory: 13431 grad_norm: 2.7787 top1_acc: 0.0000 top5_acc: 0.7500 loss_cls: 2.7061 loss: 2.7061 2022/08/15 05:24:47 - mmengine - INFO - Epoch(train) [109][800/3757] lr: 6.2149e-02 eta: 2 days, 13:43:04 time: 0.4086 data_time: 0.0153 memory: 13431 grad_norm: 2.7061 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.9224 loss: 2.9224 2022/08/15 05:25:28 - mmengine - INFO - Epoch(train) [109][900/3757] lr: 6.2149e-02 eta: 2 days, 13:42:24 time: 0.4029 data_time: 0.0153 memory: 13431 grad_norm: 2.6864 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8754 loss: 2.8754 2022/08/15 05:26:08 - mmengine - INFO - Epoch(train) [109][1000/3757] lr: 6.2149e-02 eta: 2 days, 13:41:45 time: 0.3998 data_time: 0.0148 memory: 13431 grad_norm: 2.7296 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9313 loss: 2.9313 2022/08/15 05:26:49 - mmengine - INFO - Epoch(train) [109][1100/3757] lr: 6.2149e-02 eta: 2 days, 13:41:05 time: 0.4045 data_time: 0.0160 memory: 13431 grad_norm: 2.7528 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8838 loss: 2.8838 2022/08/15 05:27:29 - mmengine - INFO - Epoch(train) [109][1200/3757] lr: 6.2149e-02 eta: 2 days, 13:40:25 time: 0.4008 data_time: 0.0144 memory: 13431 grad_norm: 2.6843 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6412 loss: 2.6412 2022/08/15 05:27:47 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 05:28:10 - mmengine - INFO - Epoch(train) [109][1300/3757] lr: 6.2149e-02 eta: 2 days, 13:39:46 time: 0.4011 data_time: 0.0140 memory: 13431 grad_norm: 2.7759 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7105 loss: 2.7105 2022/08/15 05:28:50 - mmengine - INFO - Epoch(train) [109][1400/3757] lr: 6.2149e-02 eta: 2 days, 13:39:06 time: 0.4007 data_time: 0.0144 memory: 13431 grad_norm: 2.7372 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7390 loss: 2.7390 2022/08/15 05:29:30 - mmengine - INFO - Epoch(train) [109][1500/3757] lr: 6.2149e-02 eta: 2 days, 13:38:27 time: 0.4095 data_time: 0.0146 memory: 13431 grad_norm: 2.6125 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6439 loss: 2.6439 2022/08/15 05:30:11 - mmengine - INFO - Epoch(train) [109][1600/3757] lr: 6.2149e-02 eta: 2 days, 13:37:47 time: 0.4012 data_time: 0.0176 memory: 13431 grad_norm: 2.8092 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4618 loss: 2.4618 2022/08/15 05:30:51 - mmengine - INFO - Epoch(train) [109][1700/3757] lr: 6.2149e-02 eta: 2 days, 13:37:07 time: 0.4005 data_time: 0.0145 memory: 13431 grad_norm: 2.7106 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6802 loss: 2.6802 2022/08/15 05:31:32 - mmengine - INFO - Epoch(train) [109][1800/3757] lr: 6.2149e-02 eta: 2 days, 13:36:27 time: 0.4008 data_time: 0.0152 memory: 13431 grad_norm: 2.8072 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5105 loss: 2.5105 2022/08/15 05:32:12 - mmengine - INFO - Epoch(train) [109][1900/3757] lr: 6.2149e-02 eta: 2 days, 13:35:48 time: 0.4058 data_time: 0.0148 memory: 13431 grad_norm: 2.7499 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7762 loss: 2.7762 2022/08/15 05:32:53 - mmengine - INFO - Epoch(train) [109][2000/3757] lr: 6.2149e-02 eta: 2 days, 13:35:08 time: 0.4002 data_time: 0.0144 memory: 13431 grad_norm: 2.8336 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7760 loss: 2.7760 2022/08/15 05:33:33 - mmengine - INFO - Epoch(train) [109][2100/3757] lr: 6.2149e-02 eta: 2 days, 13:34:29 time: 0.4012 data_time: 0.0146 memory: 13431 grad_norm: 2.7069 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3504 loss: 2.3504 2022/08/15 05:34:14 - mmengine - INFO - Epoch(train) [109][2200/3757] lr: 6.2149e-02 eta: 2 days, 13:33:49 time: 0.4084 data_time: 0.0163 memory: 13431 grad_norm: 2.8736 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9283 loss: 2.9283 2022/08/15 05:34:31 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 05:34:54 - mmengine - INFO - Epoch(train) [109][2300/3757] lr: 6.2149e-02 eta: 2 days, 13:33:10 time: 0.4004 data_time: 0.0147 memory: 13431 grad_norm: 2.8047 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.0212 loss: 3.0212 2022/08/15 05:35:34 - mmengine - INFO - Epoch(train) [109][2400/3757] lr: 6.2149e-02 eta: 2 days, 13:32:30 time: 0.4016 data_time: 0.0155 memory: 13431 grad_norm: 2.7163 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8796 loss: 2.8796 2022/08/15 05:36:15 - mmengine - INFO - Epoch(train) [109][2500/3757] lr: 6.2149e-02 eta: 2 days, 13:31:50 time: 0.4021 data_time: 0.0161 memory: 13431 grad_norm: 2.7078 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8883 loss: 2.8883 2022/08/15 05:36:55 - mmengine - INFO - Epoch(train) [109][2600/3757] lr: 6.2149e-02 eta: 2 days, 13:31:11 time: 0.4023 data_time: 0.0155 memory: 13431 grad_norm: 2.8156 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8984 loss: 2.8984 2022/08/15 05:37:36 - mmengine - INFO - Epoch(train) [109][2700/3757] lr: 6.2149e-02 eta: 2 days, 13:30:31 time: 0.4042 data_time: 0.0150 memory: 13431 grad_norm: 2.7227 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3726 loss: 2.3726 2022/08/15 05:38:16 - mmengine - INFO - Epoch(train) [109][2800/3757] lr: 6.2149e-02 eta: 2 days, 13:29:52 time: 0.4003 data_time: 0.0146 memory: 13431 grad_norm: 2.7463 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7161 loss: 2.7161 2022/08/15 05:38:57 - mmengine - INFO - Epoch(train) [109][2900/3757] lr: 6.2149e-02 eta: 2 days, 13:29:12 time: 0.4098 data_time: 0.0159 memory: 13431 grad_norm: 2.7219 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6750 loss: 2.6750 2022/08/15 05:39:37 - mmengine - INFO - Epoch(train) [109][3000/3757] lr: 6.2149e-02 eta: 2 days, 13:28:33 time: 0.4019 data_time: 0.0148 memory: 13431 grad_norm: 2.7448 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6380 loss: 2.6380 2022/08/15 05:40:17 - mmengine - INFO - Epoch(train) [109][3100/3757] lr: 6.2149e-02 eta: 2 days, 13:27:53 time: 0.4011 data_time: 0.0148 memory: 13431 grad_norm: 2.6939 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6698 loss: 2.6698 2022/08/15 05:40:58 - mmengine - INFO - Epoch(train) [109][3200/3757] lr: 6.2149e-02 eta: 2 days, 13:27:13 time: 0.4049 data_time: 0.0144 memory: 13431 grad_norm: 2.6369 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.6716 loss: 2.6716 2022/08/15 05:41:16 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 05:41:38 - mmengine - INFO - Epoch(train) [109][3300/3757] lr: 6.2149e-02 eta: 2 days, 13:26:34 time: 0.4108 data_time: 0.0142 memory: 13431 grad_norm: 2.6807 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.9329 loss: 2.9329 2022/08/15 05:42:19 - mmengine - INFO - Epoch(train) [109][3400/3757] lr: 6.2149e-02 eta: 2 days, 13:25:54 time: 0.4041 data_time: 0.0163 memory: 13431 grad_norm: 2.7540 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6591 loss: 2.6591 2022/08/15 05:42:59 - mmengine - INFO - Epoch(train) [109][3500/3757] lr: 6.2149e-02 eta: 2 days, 13:25:14 time: 0.4003 data_time: 0.0144 memory: 13431 grad_norm: 2.8093 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3089 loss: 2.3089 2022/08/15 05:43:40 - mmengine - INFO - Epoch(train) [109][3600/3757] lr: 6.2149e-02 eta: 2 days, 13:24:35 time: 0.4116 data_time: 0.0154 memory: 13431 grad_norm: 2.7792 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5987 loss: 2.5987 2022/08/15 05:44:20 - mmengine - INFO - Epoch(train) [109][3700/3757] lr: 6.2149e-02 eta: 2 days, 13:23:55 time: 0.4021 data_time: 0.0154 memory: 13431 grad_norm: 2.7969 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9433 loss: 2.9433 2022/08/15 05:44:43 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 05:44:43 - mmengine - INFO - Epoch(train) [109][3757/3757] lr: 6.2149e-02 eta: 2 days, 13:23:39 time: 0.3893 data_time: 0.0145 memory: 13431 grad_norm: 2.6761 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 2.5107 loss: 2.5107 2022/08/15 05:45:26 - mmengine - INFO - Epoch(train) [110][100/3757] lr: 6.1553e-02 eta: 2 days, 13:22:46 time: 0.4054 data_time: 0.0145 memory: 13431 grad_norm: 2.8300 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6561 loss: 2.6561 2022/08/15 05:46:06 - mmengine - INFO - Epoch(train) [110][200/3757] lr: 6.1553e-02 eta: 2 days, 13:22:07 time: 0.3992 data_time: 0.0150 memory: 13431 grad_norm: 2.7234 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8281 loss: 2.8281 2022/08/15 05:46:47 - mmengine - INFO - Epoch(train) [110][300/3757] lr: 6.1553e-02 eta: 2 days, 13:21:27 time: 0.4002 data_time: 0.0143 memory: 13431 grad_norm: 2.7147 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.9965 loss: 2.9965 2022/08/15 05:47:27 - mmengine - INFO - Epoch(train) [110][400/3757] lr: 6.1553e-02 eta: 2 days, 13:20:47 time: 0.4026 data_time: 0.0151 memory: 13431 grad_norm: 2.8176 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5758 loss: 2.5758 2022/08/15 05:48:02 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 05:48:07 - mmengine - INFO - Epoch(train) [110][500/3757] lr: 6.1553e-02 eta: 2 days, 13:20:08 time: 0.4103 data_time: 0.0143 memory: 13431 grad_norm: 2.7571 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8854 loss: 2.8854 2022/08/15 05:48:48 - mmengine - INFO - Epoch(train) [110][600/3757] lr: 6.1553e-02 eta: 2 days, 13:19:28 time: 0.4027 data_time: 0.0146 memory: 13431 grad_norm: 2.7403 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5650 loss: 2.5650 2022/08/15 05:49:28 - mmengine - INFO - Epoch(train) [110][700/3757] lr: 6.1553e-02 eta: 2 days, 13:18:49 time: 0.3994 data_time: 0.0148 memory: 13431 grad_norm: 2.7907 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6752 loss: 2.6752 2022/08/15 05:50:08 - mmengine - INFO - Epoch(train) [110][800/3757] lr: 6.1553e-02 eta: 2 days, 13:18:09 time: 0.4027 data_time: 0.0143 memory: 13431 grad_norm: 2.7153 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8189 loss: 2.8189 2022/08/15 05:50:49 - mmengine - INFO - Epoch(train) [110][900/3757] lr: 6.1553e-02 eta: 2 days, 13:17:29 time: 0.4037 data_time: 0.0167 memory: 13431 grad_norm: 2.6999 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5067 loss: 2.5067 2022/08/15 05:51:30 - mmengine - INFO - Epoch(train) [110][1000/3757] lr: 6.1553e-02 eta: 2 days, 13:16:50 time: 0.4049 data_time: 0.0158 memory: 13431 grad_norm: 2.7786 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6907 loss: 2.6907 2022/08/15 05:52:10 - mmengine - INFO - Epoch(train) [110][1100/3757] lr: 6.1553e-02 eta: 2 days, 13:16:10 time: 0.4014 data_time: 0.0158 memory: 13431 grad_norm: 2.6462 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.7678 loss: 2.7678 2022/08/15 05:52:51 - mmengine - INFO - Epoch(train) [110][1200/3757] lr: 6.1553e-02 eta: 2 days, 13:15:31 time: 0.4094 data_time: 0.0144 memory: 13431 grad_norm: 2.7086 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5948 loss: 2.5948 2022/08/15 05:53:31 - mmengine - INFO - Epoch(train) [110][1300/3757] lr: 6.1553e-02 eta: 2 days, 13:14:51 time: 0.4020 data_time: 0.0154 memory: 13431 grad_norm: 2.8123 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9464 loss: 2.9464 2022/08/15 05:54:12 - mmengine - INFO - Epoch(train) [110][1400/3757] lr: 6.1553e-02 eta: 2 days, 13:14:12 time: 0.4006 data_time: 0.0148 memory: 13431 grad_norm: 2.7660 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.8860 loss: 2.8860 2022/08/15 05:54:47 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 05:54:52 - mmengine - INFO - Epoch(train) [110][1500/3757] lr: 6.1553e-02 eta: 2 days, 13:13:32 time: 0.4033 data_time: 0.0162 memory: 13431 grad_norm: 2.6444 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6718 loss: 2.6718 2022/08/15 05:55:32 - mmengine - INFO - Epoch(train) [110][1600/3757] lr: 6.1553e-02 eta: 2 days, 13:12:52 time: 0.3991 data_time: 0.0145 memory: 13431 grad_norm: 2.7481 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7932 loss: 2.7932 2022/08/15 05:56:13 - mmengine - INFO - Epoch(train) [110][1700/3757] lr: 6.1553e-02 eta: 2 days, 13:12:13 time: 0.4010 data_time: 0.0143 memory: 13431 grad_norm: 2.7567 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8800 loss: 2.8800 2022/08/15 05:56:54 - mmengine - INFO - Epoch(train) [110][1800/3757] lr: 6.1553e-02 eta: 2 days, 13:11:34 time: 0.4042 data_time: 0.0151 memory: 13431 grad_norm: 2.6755 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6203 loss: 2.6203 2022/08/15 05:57:34 - mmengine - INFO - Epoch(train) [110][1900/3757] lr: 6.1553e-02 eta: 2 days, 13:10:54 time: 0.4091 data_time: 0.0150 memory: 13431 grad_norm: 2.6707 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5761 loss: 2.5761 2022/08/15 05:58:15 - mmengine - INFO - Epoch(train) [110][2000/3757] lr: 6.1553e-02 eta: 2 days, 13:10:15 time: 0.3999 data_time: 0.0151 memory: 13431 grad_norm: 2.7945 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4059 loss: 2.4059 2022/08/15 05:58:55 - mmengine - INFO - Epoch(train) [110][2100/3757] lr: 6.1553e-02 eta: 2 days, 13:09:35 time: 0.3991 data_time: 0.0146 memory: 13431 grad_norm: 2.7046 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5775 loss: 2.5775 2022/08/15 05:59:36 - mmengine - INFO - Epoch(train) [110][2200/3757] lr: 6.1553e-02 eta: 2 days, 13:08:55 time: 0.4030 data_time: 0.0147 memory: 13431 grad_norm: 2.6712 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6987 loss: 2.6987 2022/08/15 06:00:19 - mmengine - INFO - Epoch(train) [110][2300/3757] lr: 6.1553e-02 eta: 2 days, 13:08:20 time: 0.3999 data_time: 0.0147 memory: 13431 grad_norm: 2.8292 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6561 loss: 2.6561 2022/08/15 06:01:00 - mmengine - INFO - Epoch(train) [110][2400/3757] lr: 6.1553e-02 eta: 2 days, 13:07:41 time: 0.3996 data_time: 0.0148 memory: 13431 grad_norm: 2.8481 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5192 loss: 2.5192 2022/08/15 06:01:35 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 06:01:40 - mmengine - INFO - Epoch(train) [110][2500/3757] lr: 6.1553e-02 eta: 2 days, 13:07:01 time: 0.4016 data_time: 0.0153 memory: 13431 grad_norm: 2.7643 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.9768 loss: 2.9768 2022/08/15 06:02:21 - mmengine - INFO - Epoch(train) [110][2600/3757] lr: 6.1553e-02 eta: 2 days, 13:06:22 time: 0.4097 data_time: 0.0150 memory: 13431 grad_norm: 2.7519 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8667 loss: 2.8667 2022/08/15 06:03:01 - mmengine - INFO - Epoch(train) [110][2700/3757] lr: 6.1553e-02 eta: 2 days, 13:05:42 time: 0.3997 data_time: 0.0153 memory: 13431 grad_norm: 2.7057 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0514 loss: 3.0514 2022/08/15 06:03:42 - mmengine - INFO - Epoch(train) [110][2800/3757] lr: 6.1553e-02 eta: 2 days, 13:05:02 time: 0.4006 data_time: 0.0152 memory: 13431 grad_norm: 2.6510 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7011 loss: 2.7011 2022/08/15 06:04:22 - mmengine - INFO - Epoch(train) [110][2900/3757] lr: 6.1553e-02 eta: 2 days, 13:04:23 time: 0.4001 data_time: 0.0155 memory: 13431 grad_norm: 2.6591 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3368 loss: 2.3368 2022/08/15 06:05:02 - mmengine - INFO - Epoch(train) [110][3000/3757] lr: 6.1553e-02 eta: 2 days, 13:03:43 time: 0.3996 data_time: 0.0143 memory: 13431 grad_norm: 2.7468 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.5517 loss: 2.5517 2022/08/15 06:05:43 - mmengine - INFO - Epoch(train) [110][3100/3757] lr: 6.1553e-02 eta: 2 days, 13:03:04 time: 0.4008 data_time: 0.0154 memory: 13431 grad_norm: 2.7563 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7206 loss: 2.7206 2022/08/15 06:06:23 - mmengine - INFO - Epoch(train) [110][3200/3757] lr: 6.1553e-02 eta: 2 days, 13:02:24 time: 0.4030 data_time: 0.0139 memory: 13431 grad_norm: 2.6795 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4939 loss: 2.4939 2022/08/15 06:07:04 - mmengine - INFO - Epoch(train) [110][3300/3757] lr: 6.1553e-02 eta: 2 days, 13:01:44 time: 0.4052 data_time: 0.0148 memory: 13431 grad_norm: 2.7629 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 2.8155 loss: 2.8155 2022/08/15 06:07:45 - mmengine - INFO - Epoch(train) [110][3400/3757] lr: 6.1553e-02 eta: 2 days, 13:01:05 time: 0.4033 data_time: 0.0165 memory: 13431 grad_norm: 2.7408 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6180 loss: 2.6180 2022/08/15 06:08:20 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 06:08:25 - mmengine - INFO - Epoch(train) [110][3500/3757] lr: 6.1553e-02 eta: 2 days, 13:00:25 time: 0.4024 data_time: 0.0167 memory: 13431 grad_norm: 2.7005 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6824 loss: 2.6824 2022/08/15 06:09:05 - mmengine - INFO - Epoch(train) [110][3600/3757] lr: 6.1553e-02 eta: 2 days, 12:59:46 time: 0.4047 data_time: 0.0153 memory: 13431 grad_norm: 2.8417 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7460 loss: 2.7460 2022/08/15 06:09:46 - mmengine - INFO - Epoch(train) [110][3700/3757] lr: 6.1553e-02 eta: 2 days, 12:59:06 time: 0.4012 data_time: 0.0143 memory: 13431 grad_norm: 2.8256 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7635 loss: 2.7635 2022/08/15 06:10:09 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 06:10:09 - mmengine - INFO - Epoch(train) [110][3757/3757] lr: 6.1553e-02 eta: 2 days, 12:58:50 time: 0.3903 data_time: 0.0150 memory: 13431 grad_norm: 2.8300 top1_acc: 0.1429 top5_acc: 0.2857 loss_cls: 2.7084 loss: 2.7084 2022/08/15 06:10:31 - mmengine - INFO - Epoch(val) [110][100/310] eta: 0:00:49 time: 0.2360 data_time: 0.1066 memory: 1974 2022/08/15 06:10:52 - mmengine - INFO - Epoch(val) [110][200/310] eta: 0:00:21 time: 0.1916 data_time: 0.0633 memory: 1974 2022/08/15 06:11:13 - mmengine - INFO - Epoch(val) [110][300/310] eta: 0:00:02 time: 0.2048 data_time: 0.0764 memory: 1974 2022/08/15 06:11:18 - mmengine - INFO - Epoch(val) [110][310/310] acc/top1: 0.4567 acc/top5: 0.7171 acc/mean1: 0.4567 2022/08/15 06:11:18 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_106.pth is removed 2022/08/15 06:11:22 - mmengine - INFO - The best checkpoint with 0.4567 acc/top1 at 111 epoch is saved to best_acc/top1_epoch_111.pth. 2022/08/15 06:12:03 - mmengine - INFO - Epoch(train) [111][100/3757] lr: 6.0955e-02 eta: 2 days, 12:57:55 time: 0.4016 data_time: 0.0148 memory: 13431 grad_norm: 2.6726 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.7209 loss: 2.7209 2022/08/15 06:12:43 - mmengine - INFO - Epoch(train) [111][200/3757] lr: 6.0955e-02 eta: 2 days, 12:57:16 time: 0.4013 data_time: 0.0157 memory: 13431 grad_norm: 2.6810 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5341 loss: 2.5341 2022/08/15 06:13:24 - mmengine - INFO - Epoch(train) [111][300/3757] lr: 6.0955e-02 eta: 2 days, 12:56:36 time: 0.4030 data_time: 0.0170 memory: 13431 grad_norm: 2.7110 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7518 loss: 2.7518 2022/08/15 06:14:04 - mmengine - INFO - Epoch(train) [111][400/3757] lr: 6.0955e-02 eta: 2 days, 12:55:57 time: 0.4004 data_time: 0.0146 memory: 13431 grad_norm: 2.7727 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9074 loss: 2.9074 2022/08/15 06:14:45 - mmengine - INFO - Epoch(train) [111][500/3757] lr: 6.0955e-02 eta: 2 days, 12:55:17 time: 0.4026 data_time: 0.0148 memory: 13431 grad_norm: 2.7364 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8186 loss: 2.8186 2022/08/15 06:15:25 - mmengine - INFO - Epoch(train) [111][600/3757] lr: 6.0955e-02 eta: 2 days, 12:54:38 time: 0.4039 data_time: 0.0145 memory: 13431 grad_norm: 2.7586 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7560 loss: 2.7560 2022/08/15 06:16:06 - mmengine - INFO - Epoch(train) [111][700/3757] lr: 6.0955e-02 eta: 2 days, 12:53:58 time: 0.4017 data_time: 0.0144 memory: 13431 grad_norm: 2.7507 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9069 loss: 2.9069 2022/08/15 06:16:18 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 06:16:46 - mmengine - INFO - Epoch(train) [111][800/3757] lr: 6.0955e-02 eta: 2 days, 12:53:18 time: 0.3997 data_time: 0.0154 memory: 13431 grad_norm: 2.7948 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8619 loss: 2.8619 2022/08/15 06:17:27 - mmengine - INFO - Epoch(train) [111][900/3757] lr: 6.0955e-02 eta: 2 days, 12:52:39 time: 0.4084 data_time: 0.0151 memory: 13431 grad_norm: 2.8381 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4516 loss: 2.4516 2022/08/15 06:18:07 - mmengine - INFO - Epoch(train) [111][1000/3757] lr: 6.0955e-02 eta: 2 days, 12:51:59 time: 0.4015 data_time: 0.0149 memory: 13431 grad_norm: 2.7514 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6860 loss: 2.6860 2022/08/15 06:18:47 - mmengine - INFO - Epoch(train) [111][1100/3757] lr: 6.0955e-02 eta: 2 days, 12:51:20 time: 0.4015 data_time: 0.0148 memory: 13431 grad_norm: 2.6962 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8382 loss: 2.8382 2022/08/15 06:19:28 - mmengine - INFO - Epoch(train) [111][1200/3757] lr: 6.0955e-02 eta: 2 days, 12:50:40 time: 0.4056 data_time: 0.0163 memory: 13431 grad_norm: 2.7979 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4783 loss: 2.4783 2022/08/15 06:20:09 - mmengine - INFO - Epoch(train) [111][1300/3757] lr: 6.0955e-02 eta: 2 days, 12:50:00 time: 0.4051 data_time: 0.0147 memory: 13431 grad_norm: 2.7450 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.4844 loss: 2.4844 2022/08/15 06:20:49 - mmengine - INFO - Epoch(train) [111][1400/3757] lr: 6.0955e-02 eta: 2 days, 12:49:21 time: 0.3996 data_time: 0.0174 memory: 13431 grad_norm: 2.7125 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6938 loss: 2.6938 2022/08/15 06:21:29 - mmengine - INFO - Epoch(train) [111][1500/3757] lr: 6.0955e-02 eta: 2 days, 12:48:41 time: 0.4019 data_time: 0.0145 memory: 13431 grad_norm: 2.8036 top1_acc: 0.0000 top5_acc: 0.8750 loss_cls: 2.8138 loss: 2.8138 2022/08/15 06:22:10 - mmengine - INFO - Epoch(train) [111][1600/3757] lr: 6.0955e-02 eta: 2 days, 12:48:02 time: 0.4068 data_time: 0.0157 memory: 13431 grad_norm: 2.7523 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5467 loss: 2.5467 2022/08/15 06:22:50 - mmengine - INFO - Epoch(train) [111][1700/3757] lr: 6.0955e-02 eta: 2 days, 12:47:22 time: 0.4034 data_time: 0.0150 memory: 13431 grad_norm: 2.7479 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7286 loss: 2.7286 2022/08/15 06:23:03 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 06:23:31 - mmengine - INFO - Epoch(train) [111][1800/3757] lr: 6.0955e-02 eta: 2 days, 12:46:42 time: 0.4001 data_time: 0.0150 memory: 13431 grad_norm: 2.7768 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8181 loss: 2.8181 2022/08/15 06:24:11 - mmengine - INFO - Epoch(train) [111][1900/3757] lr: 6.0955e-02 eta: 2 days, 12:46:03 time: 0.4026 data_time: 0.0152 memory: 13431 grad_norm: 2.7297 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5300 loss: 2.5300 2022/08/15 06:24:52 - mmengine - INFO - Epoch(train) [111][2000/3757] lr: 6.0955e-02 eta: 2 days, 12:45:23 time: 0.4017 data_time: 0.0157 memory: 13431 grad_norm: 2.7950 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7150 loss: 2.7150 2022/08/15 06:25:32 - mmengine - INFO - Epoch(train) [111][2100/3757] lr: 6.0955e-02 eta: 2 days, 12:44:44 time: 0.4025 data_time: 0.0146 memory: 13431 grad_norm: 2.8083 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8095 loss: 2.8095 2022/08/15 06:26:13 - mmengine - INFO - Epoch(train) [111][2200/3757] lr: 6.0955e-02 eta: 2 days, 12:44:04 time: 0.3996 data_time: 0.0144 memory: 13431 grad_norm: 2.6792 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9360 loss: 2.9360 2022/08/15 06:26:54 - mmengine - INFO - Epoch(train) [111][2300/3757] lr: 6.0955e-02 eta: 2 days, 12:43:25 time: 0.4080 data_time: 0.0155 memory: 13431 grad_norm: 2.8187 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7298 loss: 2.7298 2022/08/15 06:27:34 - mmengine - INFO - Epoch(train) [111][2400/3757] lr: 6.0955e-02 eta: 2 days, 12:42:46 time: 0.4044 data_time: 0.0153 memory: 13431 grad_norm: 2.8066 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5811 loss: 2.5811 2022/08/15 06:28:14 - mmengine - INFO - Epoch(train) [111][2500/3757] lr: 6.0955e-02 eta: 2 days, 12:42:06 time: 0.4010 data_time: 0.0152 memory: 13431 grad_norm: 2.6850 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.6562 loss: 2.6562 2022/08/15 06:28:55 - mmengine - INFO - Epoch(train) [111][2600/3757] lr: 6.0955e-02 eta: 2 days, 12:41:26 time: 0.4020 data_time: 0.0146 memory: 13431 grad_norm: 2.7150 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4343 loss: 2.4343 2022/08/15 06:29:35 - mmengine - INFO - Epoch(train) [111][2700/3757] lr: 6.0955e-02 eta: 2 days, 12:40:47 time: 0.4016 data_time: 0.0142 memory: 13431 grad_norm: 2.7493 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3365 loss: 2.3365 2022/08/15 06:29:48 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 06:30:16 - mmengine - INFO - Epoch(train) [111][2800/3757] lr: 6.0955e-02 eta: 2 days, 12:40:07 time: 0.4018 data_time: 0.0176 memory: 13431 grad_norm: 2.7436 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0116 loss: 3.0116 2022/08/15 06:30:57 - mmengine - INFO - Epoch(train) [111][2900/3757] lr: 6.0955e-02 eta: 2 days, 12:39:28 time: 0.4010 data_time: 0.0149 memory: 13431 grad_norm: 2.8108 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6798 loss: 2.6798 2022/08/15 06:31:37 - mmengine - INFO - Epoch(train) [111][3000/3757] lr: 6.0955e-02 eta: 2 days, 12:38:48 time: 0.4069 data_time: 0.0145 memory: 13431 grad_norm: 2.7316 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3484 loss: 2.3484 2022/08/15 06:32:18 - mmengine - INFO - Epoch(train) [111][3100/3757] lr: 6.0955e-02 eta: 2 days, 12:38:09 time: 0.4021 data_time: 0.0148 memory: 13431 grad_norm: 2.7849 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5495 loss: 2.5495 2022/08/15 06:32:58 - mmengine - INFO - Epoch(train) [111][3200/3757] lr: 6.0955e-02 eta: 2 days, 12:37:29 time: 0.4010 data_time: 0.0143 memory: 13431 grad_norm: 2.7907 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0467 loss: 3.0467 2022/08/15 06:33:38 - mmengine - INFO - Epoch(train) [111][3300/3757] lr: 6.0955e-02 eta: 2 days, 12:36:49 time: 0.4073 data_time: 0.0156 memory: 13431 grad_norm: 2.7367 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7634 loss: 2.7634 2022/08/15 06:34:19 - mmengine - INFO - Epoch(train) [111][3400/3757] lr: 6.0955e-02 eta: 2 days, 12:36:10 time: 0.4056 data_time: 0.0148 memory: 13431 grad_norm: 2.7853 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7299 loss: 2.7299 2022/08/15 06:35:00 - mmengine - INFO - Epoch(train) [111][3500/3757] lr: 6.0955e-02 eta: 2 days, 12:35:30 time: 0.4072 data_time: 0.0164 memory: 13431 grad_norm: 2.7284 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7097 loss: 2.7097 2022/08/15 06:35:40 - mmengine - INFO - Epoch(train) [111][3600/3757] lr: 6.0955e-02 eta: 2 days, 12:34:51 time: 0.4020 data_time: 0.0156 memory: 13431 grad_norm: 2.7720 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5349 loss: 2.5349 2022/08/15 06:36:20 - mmengine - INFO - Epoch(train) [111][3700/3757] lr: 6.0955e-02 eta: 2 days, 12:34:11 time: 0.4067 data_time: 0.0150 memory: 13431 grad_norm: 2.8236 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.8301 loss: 2.8301 2022/08/15 06:36:33 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 06:36:43 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 06:36:43 - mmengine - INFO - Epoch(train) [111][3757/3757] lr: 6.0955e-02 eta: 2 days, 12:33:55 time: 0.3891 data_time: 0.0141 memory: 13431 grad_norm: 2.8239 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.7721 loss: 2.7721 2022/08/15 06:37:26 - mmengine - INFO - Epoch(train) [112][100/3757] lr: 6.0356e-02 eta: 2 days, 12:33:02 time: 0.3992 data_time: 0.0140 memory: 13431 grad_norm: 2.8469 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.8404 loss: 2.8404 2022/08/15 06:38:06 - mmengine - INFO - Epoch(train) [112][200/3757] lr: 6.0356e-02 eta: 2 days, 12:32:23 time: 0.4000 data_time: 0.0149 memory: 13431 grad_norm: 2.7752 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7259 loss: 2.7259 2022/08/15 06:38:46 - mmengine - INFO - Epoch(train) [112][300/3757] lr: 6.0356e-02 eta: 2 days, 12:31:43 time: 0.4015 data_time: 0.0145 memory: 13431 grad_norm: 2.8058 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4773 loss: 2.4773 2022/08/15 06:39:27 - mmengine - INFO - Epoch(train) [112][400/3757] lr: 6.0356e-02 eta: 2 days, 12:31:04 time: 0.4007 data_time: 0.0140 memory: 13431 grad_norm: 2.7503 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8113 loss: 2.8113 2022/08/15 06:40:08 - mmengine - INFO - Epoch(train) [112][500/3757] lr: 6.0356e-02 eta: 2 days, 12:30:24 time: 0.4019 data_time: 0.0147 memory: 13431 grad_norm: 2.6951 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7957 loss: 2.7957 2022/08/15 06:40:48 - mmengine - INFO - Epoch(train) [112][600/3757] lr: 6.0356e-02 eta: 2 days, 12:29:45 time: 0.4065 data_time: 0.0149 memory: 13431 grad_norm: 2.7618 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3987 loss: 2.3987 2022/08/15 06:41:29 - mmengine - INFO - Epoch(train) [112][700/3757] lr: 6.0356e-02 eta: 2 days, 12:29:06 time: 0.4001 data_time: 0.0149 memory: 13431 grad_norm: 2.8510 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7142 loss: 2.7142 2022/08/15 06:42:09 - mmengine - INFO - Epoch(train) [112][800/3757] lr: 6.0356e-02 eta: 2 days, 12:28:26 time: 0.4011 data_time: 0.0147 memory: 13431 grad_norm: 2.7260 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.7786 loss: 2.7786 2022/08/15 06:42:50 - mmengine - INFO - Epoch(train) [112][900/3757] lr: 6.0356e-02 eta: 2 days, 12:27:46 time: 0.3997 data_time: 0.0147 memory: 13431 grad_norm: 2.7583 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6036 loss: 2.6036 2022/08/15 06:43:19 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 06:43:30 - mmengine - INFO - Epoch(train) [112][1000/3757] lr: 6.0356e-02 eta: 2 days, 12:27:06 time: 0.4016 data_time: 0.0156 memory: 13431 grad_norm: 2.8089 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6746 loss: 2.6746 2022/08/15 06:44:11 - mmengine - INFO - Epoch(train) [112][1100/3757] lr: 6.0356e-02 eta: 2 days, 12:26:27 time: 0.4040 data_time: 0.0155 memory: 13431 grad_norm: 2.6836 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6459 loss: 2.6459 2022/08/15 06:44:51 - mmengine - INFO - Epoch(train) [112][1200/3757] lr: 6.0356e-02 eta: 2 days, 12:25:47 time: 0.3986 data_time: 0.0143 memory: 13431 grad_norm: 2.7616 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6026 loss: 2.6026 2022/08/15 06:45:32 - mmengine - INFO - Epoch(train) [112][1300/3757] lr: 6.0356e-02 eta: 2 days, 12:25:08 time: 0.4027 data_time: 0.0144 memory: 13431 grad_norm: 2.8062 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4079 loss: 2.4079 2022/08/15 06:46:12 - mmengine - INFO - Epoch(train) [112][1400/3757] lr: 6.0356e-02 eta: 2 days, 12:24:28 time: 0.4027 data_time: 0.0144 memory: 13431 grad_norm: 2.9107 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6331 loss: 2.6331 2022/08/15 06:46:53 - mmengine - INFO - Epoch(train) [112][1500/3757] lr: 6.0356e-02 eta: 2 days, 12:23:49 time: 0.4023 data_time: 0.0141 memory: 13431 grad_norm: 2.7435 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8209 loss: 2.8209 2022/08/15 06:47:33 - mmengine - INFO - Epoch(train) [112][1600/3757] lr: 6.0356e-02 eta: 2 days, 12:23:09 time: 0.4024 data_time: 0.0161 memory: 13431 grad_norm: 2.7461 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3036 loss: 2.3036 2022/08/15 06:48:14 - mmengine - INFO - Epoch(train) [112][1700/3757] lr: 6.0356e-02 eta: 2 days, 12:22:29 time: 0.4038 data_time: 0.0148 memory: 13431 grad_norm: 2.7078 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7365 loss: 2.7365 2022/08/15 06:48:54 - mmengine - INFO - Epoch(train) [112][1800/3757] lr: 6.0356e-02 eta: 2 days, 12:21:50 time: 0.4028 data_time: 0.0154 memory: 13431 grad_norm: 2.7589 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6452 loss: 2.6452 2022/08/15 06:49:35 - mmengine - INFO - Epoch(train) [112][1900/3757] lr: 6.0356e-02 eta: 2 days, 12:21:11 time: 0.4115 data_time: 0.0153 memory: 13431 grad_norm: 2.7670 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7331 loss: 2.7331 2022/08/15 06:50:04 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 06:50:15 - mmengine - INFO - Epoch(train) [112][2000/3757] lr: 6.0356e-02 eta: 2 days, 12:20:31 time: 0.4039 data_time: 0.0148 memory: 13431 grad_norm: 2.8867 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.7759 loss: 2.7759 2022/08/15 06:50:56 - mmengine - INFO - Epoch(train) [112][2100/3757] lr: 6.0356e-02 eta: 2 days, 12:19:52 time: 0.4006 data_time: 0.0150 memory: 13431 grad_norm: 2.7532 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8338 loss: 2.8338 2022/08/15 06:51:36 - mmengine - INFO - Epoch(train) [112][2200/3757] lr: 6.0356e-02 eta: 2 days, 12:19:12 time: 0.4017 data_time: 0.0145 memory: 13431 grad_norm: 2.7438 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.6663 loss: 2.6663 2022/08/15 06:52:17 - mmengine - INFO - Epoch(train) [112][2300/3757] lr: 6.0356e-02 eta: 2 days, 12:18:32 time: 0.4035 data_time: 0.0184 memory: 13431 grad_norm: 2.7670 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6855 loss: 2.6855 2022/08/15 06:52:57 - mmengine - INFO - Epoch(train) [112][2400/3757] lr: 6.0356e-02 eta: 2 days, 12:17:53 time: 0.4003 data_time: 0.0141 memory: 13431 grad_norm: 2.7938 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8444 loss: 2.8444 2022/08/15 06:53:38 - mmengine - INFO - Epoch(train) [112][2500/3757] lr: 6.0356e-02 eta: 2 days, 12:17:13 time: 0.3997 data_time: 0.0143 memory: 13431 grad_norm: 2.7169 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7421 loss: 2.7421 2022/08/15 06:54:18 - mmengine - INFO - Epoch(train) [112][2600/3757] lr: 6.0356e-02 eta: 2 days, 12:16:34 time: 0.3996 data_time: 0.0142 memory: 13431 grad_norm: 2.7840 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3772 loss: 2.3772 2022/08/15 06:54:59 - mmengine - INFO - Epoch(train) [112][2700/3757] lr: 6.0356e-02 eta: 2 days, 12:15:54 time: 0.4097 data_time: 0.0148 memory: 13431 grad_norm: 2.8263 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6853 loss: 2.6853 2022/08/15 06:55:39 - mmengine - INFO - Epoch(train) [112][2800/3757] lr: 6.0356e-02 eta: 2 days, 12:15:15 time: 0.4022 data_time: 0.0149 memory: 13431 grad_norm: 2.7235 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6853 loss: 2.6853 2022/08/15 06:56:20 - mmengine - INFO - Epoch(train) [112][2900/3757] lr: 6.0356e-02 eta: 2 days, 12:14:35 time: 0.4027 data_time: 0.0144 memory: 13431 grad_norm: 2.7547 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7230 loss: 2.7230 2022/08/15 06:56:50 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 06:57:00 - mmengine - INFO - Epoch(train) [112][3000/3757] lr: 6.0356e-02 eta: 2 days, 12:13:56 time: 0.4017 data_time: 0.0149 memory: 13431 grad_norm: 2.7502 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8835 loss: 2.8835 2022/08/15 06:57:41 - mmengine - INFO - Epoch(train) [112][3100/3757] lr: 6.0356e-02 eta: 2 days, 12:13:16 time: 0.4011 data_time: 0.0152 memory: 13431 grad_norm: 2.8121 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.4461 loss: 2.4461 2022/08/15 06:58:21 - mmengine - INFO - Epoch(train) [112][3200/3757] lr: 6.0356e-02 eta: 2 days, 12:12:36 time: 0.4034 data_time: 0.0153 memory: 13431 grad_norm: 2.7601 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8606 loss: 2.8606 2022/08/15 06:59:02 - mmengine - INFO - Epoch(train) [112][3300/3757] lr: 6.0356e-02 eta: 2 days, 12:11:57 time: 0.4052 data_time: 0.0145 memory: 13431 grad_norm: 2.7198 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7434 loss: 2.7434 2022/08/15 06:59:42 - mmengine - INFO - Epoch(train) [112][3400/3757] lr: 6.0356e-02 eta: 2 days, 12:11:17 time: 0.4049 data_time: 0.0150 memory: 13431 grad_norm: 2.7342 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 2.8794 loss: 2.8794 2022/08/15 07:00:23 - mmengine - INFO - Epoch(train) [112][3500/3757] lr: 6.0356e-02 eta: 2 days, 12:10:38 time: 0.4032 data_time: 0.0157 memory: 13431 grad_norm: 2.7570 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4844 loss: 2.4844 2022/08/15 07:01:03 - mmengine - INFO - Epoch(train) [112][3600/3757] lr: 6.0356e-02 eta: 2 days, 12:09:58 time: 0.4022 data_time: 0.0150 memory: 13431 grad_norm: 2.8162 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6807 loss: 2.6807 2022/08/15 07:01:44 - mmengine - INFO - Epoch(train) [112][3700/3757] lr: 6.0356e-02 eta: 2 days, 12:09:18 time: 0.4004 data_time: 0.0148 memory: 13431 grad_norm: 2.7856 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7642 loss: 2.7642 2022/08/15 07:02:06 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 07:02:06 - mmengine - INFO - Epoch(train) [112][3757/3757] lr: 6.0356e-02 eta: 2 days, 12:09:02 time: 0.3936 data_time: 0.0135 memory: 13431 grad_norm: 2.7657 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.6493 loss: 2.6493 2022/08/15 07:02:06 - mmengine - INFO - Saving checkpoint at 112 epochs 2022/08/15 07:02:53 - mmengine - INFO - Epoch(train) [113][100/3757] lr: 5.9755e-02 eta: 2 days, 12:08:08 time: 0.4011 data_time: 0.0150 memory: 13431 grad_norm: 2.7352 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4631 loss: 2.4631 2022/08/15 07:03:34 - mmengine - INFO - Epoch(train) [113][200/3757] lr: 5.9755e-02 eta: 2 days, 12:07:29 time: 0.4007 data_time: 0.0139 memory: 13431 grad_norm: 2.7851 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6032 loss: 2.6032 2022/08/15 07:03:40 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 07:04:14 - mmengine - INFO - Epoch(train) [113][300/3757] lr: 5.9755e-02 eta: 2 days, 12:06:49 time: 0.4005 data_time: 0.0146 memory: 13431 grad_norm: 2.8876 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8318 loss: 2.8318 2022/08/15 07:04:55 - mmengine - INFO - Epoch(train) [113][400/3757] lr: 5.9755e-02 eta: 2 days, 12:06:10 time: 0.4038 data_time: 0.0152 memory: 13431 grad_norm: 2.8367 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.7028 loss: 2.7028 2022/08/15 07:05:35 - mmengine - INFO - Epoch(train) [113][500/3757] lr: 5.9755e-02 eta: 2 days, 12:05:30 time: 0.4016 data_time: 0.0152 memory: 13431 grad_norm: 2.7768 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7344 loss: 2.7344 2022/08/15 07:06:16 - mmengine - INFO - Epoch(train) [113][600/3757] lr: 5.9755e-02 eta: 2 days, 12:04:50 time: 0.3994 data_time: 0.0150 memory: 13431 grad_norm: 2.8061 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9808 loss: 2.9808 2022/08/15 07:06:56 - mmengine - INFO - Epoch(train) [113][700/3757] lr: 5.9755e-02 eta: 2 days, 12:04:10 time: 0.4074 data_time: 0.0146 memory: 13431 grad_norm: 2.7378 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5541 loss: 2.5541 2022/08/15 07:07:36 - mmengine - INFO - Epoch(train) [113][800/3757] lr: 5.9755e-02 eta: 2 days, 12:03:31 time: 0.3998 data_time: 0.0144 memory: 13431 grad_norm: 2.8180 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8643 loss: 2.8643 2022/08/15 07:08:17 - mmengine - INFO - Epoch(train) [113][900/3757] lr: 5.9755e-02 eta: 2 days, 12:02:51 time: 0.4013 data_time: 0.0142 memory: 13431 grad_norm: 2.8036 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8220 loss: 2.8220 2022/08/15 07:08:57 - mmengine - INFO - Epoch(train) [113][1000/3757] lr: 5.9755e-02 eta: 2 days, 12:02:12 time: 0.4013 data_time: 0.0150 memory: 13431 grad_norm: 2.8714 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8985 loss: 2.8985 2022/08/15 07:09:38 - mmengine - INFO - Epoch(train) [113][1100/3757] lr: 5.9755e-02 eta: 2 days, 12:01:32 time: 0.4045 data_time: 0.0144 memory: 13431 grad_norm: 2.8113 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8229 loss: 2.8229 2022/08/15 07:10:18 - mmengine - INFO - Epoch(train) [113][1200/3757] lr: 5.9755e-02 eta: 2 days, 12:00:52 time: 0.4019 data_time: 0.0157 memory: 13431 grad_norm: 2.7844 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5061 loss: 2.5061 2022/08/15 07:10:25 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 07:10:59 - mmengine - INFO - Epoch(train) [113][1300/3757] lr: 5.9755e-02 eta: 2 days, 12:00:13 time: 0.4013 data_time: 0.0151 memory: 13431 grad_norm: 2.7692 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4043 loss: 2.4043 2022/08/15 07:11:39 - mmengine - INFO - Epoch(train) [113][1400/3757] lr: 5.9755e-02 eta: 2 days, 11:59:33 time: 0.4014 data_time: 0.0141 memory: 13431 grad_norm: 2.8464 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8270 loss: 2.8270 2022/08/15 07:12:20 - mmengine - INFO - Epoch(train) [113][1500/3757] lr: 5.9755e-02 eta: 2 days, 11:58:54 time: 0.4015 data_time: 0.0152 memory: 13431 grad_norm: 2.8498 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5036 loss: 2.5036 2022/08/15 07:13:01 - mmengine - INFO - Epoch(train) [113][1600/3757] lr: 5.9755e-02 eta: 2 days, 11:58:15 time: 0.4000 data_time: 0.0145 memory: 13431 grad_norm: 2.8013 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8649 loss: 2.8649 2022/08/15 07:13:41 - mmengine - INFO - Epoch(train) [113][1700/3757] lr: 5.9755e-02 eta: 2 days, 11:57:35 time: 0.4087 data_time: 0.0158 memory: 13431 grad_norm: 2.7228 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7218 loss: 2.7218 2022/08/15 07:14:22 - mmengine - INFO - Epoch(train) [113][1800/3757] lr: 5.9755e-02 eta: 2 days, 11:56:56 time: 0.4008 data_time: 0.0149 memory: 13431 grad_norm: 2.7363 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5481 loss: 2.5481 2022/08/15 07:15:02 - mmengine - INFO - Epoch(train) [113][1900/3757] lr: 5.9755e-02 eta: 2 days, 11:56:16 time: 0.4023 data_time: 0.0146 memory: 13431 grad_norm: 2.8101 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6691 loss: 2.6691 2022/08/15 07:15:43 - mmengine - INFO - Epoch(train) [113][2000/3757] lr: 5.9755e-02 eta: 2 days, 11:55:36 time: 0.4027 data_time: 0.0146 memory: 13431 grad_norm: 2.7260 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5637 loss: 2.5637 2022/08/15 07:16:23 - mmengine - INFO - Epoch(train) [113][2100/3757] lr: 5.9755e-02 eta: 2 days, 11:54:56 time: 0.4052 data_time: 0.0143 memory: 13431 grad_norm: 2.7955 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.7090 loss: 2.7090 2022/08/15 07:17:03 - mmengine - INFO - Epoch(train) [113][2200/3757] lr: 5.9755e-02 eta: 2 days, 11:54:17 time: 0.4078 data_time: 0.0152 memory: 13431 grad_norm: 2.7686 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6406 loss: 2.6406 2022/08/15 07:17:10 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 07:17:44 - mmengine - INFO - Epoch(train) [113][2300/3757] lr: 5.9755e-02 eta: 2 days, 11:53:37 time: 0.4033 data_time: 0.0158 memory: 13431 grad_norm: 2.7470 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.4974 loss: 2.4974 2022/08/15 07:18:24 - mmengine - INFO - Epoch(train) [113][2400/3757] lr: 5.9755e-02 eta: 2 days, 11:52:57 time: 0.4015 data_time: 0.0146 memory: 13431 grad_norm: 2.8217 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9405 loss: 2.9405 2022/08/15 07:19:05 - mmengine - INFO - Epoch(train) [113][2500/3757] lr: 5.9755e-02 eta: 2 days, 11:52:18 time: 0.4033 data_time: 0.0162 memory: 13431 grad_norm: 2.6100 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8348 loss: 2.8348 2022/08/15 07:19:45 - mmengine - INFO - Epoch(train) [113][2600/3757] lr: 5.9755e-02 eta: 2 days, 11:51:38 time: 0.4040 data_time: 0.0150 memory: 13431 grad_norm: 2.7073 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0718 loss: 3.0718 2022/08/15 07:20:26 - mmengine - INFO - Epoch(train) [113][2700/3757] lr: 5.9755e-02 eta: 2 days, 11:50:59 time: 0.4036 data_time: 0.0162 memory: 13431 grad_norm: 2.8242 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8194 loss: 2.8194 2022/08/15 07:21:06 - mmengine - INFO - Epoch(train) [113][2800/3757] lr: 5.9755e-02 eta: 2 days, 11:50:19 time: 0.4099 data_time: 0.0170 memory: 13431 grad_norm: 2.7641 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5445 loss: 2.5445 2022/08/15 07:21:47 - mmengine - INFO - Epoch(train) [113][2900/3757] lr: 5.9755e-02 eta: 2 days, 11:49:39 time: 0.4019 data_time: 0.0151 memory: 13431 grad_norm: 2.8073 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7917 loss: 2.7917 2022/08/15 07:22:27 - mmengine - INFO - Epoch(train) [113][3000/3757] lr: 5.9755e-02 eta: 2 days, 11:49:00 time: 0.4029 data_time: 0.0152 memory: 13431 grad_norm: 2.8156 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7894 loss: 2.7894 2022/08/15 07:23:07 - mmengine - INFO - Epoch(train) [113][3100/3757] lr: 5.9755e-02 eta: 2 days, 11:48:20 time: 0.4010 data_time: 0.0141 memory: 13431 grad_norm: 2.7511 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7460 loss: 2.7460 2022/08/15 07:23:48 - mmengine - INFO - Epoch(train) [113][3200/3757] lr: 5.9755e-02 eta: 2 days, 11:47:41 time: 0.4016 data_time: 0.0146 memory: 13431 grad_norm: 2.7183 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6357 loss: 2.6357 2022/08/15 07:23:55 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 07:24:29 - mmengine - INFO - Epoch(train) [113][3300/3757] lr: 5.9755e-02 eta: 2 days, 11:47:01 time: 0.4033 data_time: 0.0179 memory: 13431 grad_norm: 2.8101 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.7832 loss: 2.7832 2022/08/15 07:25:09 - mmengine - INFO - Epoch(train) [113][3400/3757] lr: 5.9755e-02 eta: 2 days, 11:46:21 time: 0.4007 data_time: 0.0146 memory: 13431 grad_norm: 2.7474 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5834 loss: 2.5834 2022/08/15 07:25:50 - mmengine - INFO - Epoch(train) [113][3500/3757] lr: 5.9755e-02 eta: 2 days, 11:45:42 time: 0.4071 data_time: 0.0150 memory: 13431 grad_norm: 2.8154 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9277 loss: 2.9277 2022/08/15 07:26:30 - mmengine - INFO - Epoch(train) [113][3600/3757] lr: 5.9755e-02 eta: 2 days, 11:45:02 time: 0.4034 data_time: 0.0157 memory: 13431 grad_norm: 2.9249 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7042 loss: 2.7042 2022/08/15 07:27:11 - mmengine - INFO - Epoch(train) [113][3700/3757] lr: 5.9755e-02 eta: 2 days, 11:44:23 time: 0.4021 data_time: 0.0151 memory: 13431 grad_norm: 2.7392 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7837 loss: 2.7837 2022/08/15 07:27:33 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 07:27:33 - mmengine - INFO - Epoch(train) [113][3757/3757] lr: 5.9755e-02 eta: 2 days, 11:44:07 time: 0.3935 data_time: 0.0149 memory: 13431 grad_norm: 2.7958 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 3.0854 loss: 3.0854 2022/08/15 07:28:16 - mmengine - INFO - Epoch(train) [114][100/3757] lr: 5.9152e-02 eta: 2 days, 11:43:14 time: 0.4049 data_time: 0.0151 memory: 13431 grad_norm: 2.7842 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4828 loss: 2.4828 2022/08/15 07:28:56 - mmengine - INFO - Epoch(train) [114][200/3757] lr: 5.9152e-02 eta: 2 days, 11:42:35 time: 0.4050 data_time: 0.0166 memory: 13431 grad_norm: 2.8626 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5992 loss: 2.5992 2022/08/15 07:29:37 - mmengine - INFO - Epoch(train) [114][300/3757] lr: 5.9152e-02 eta: 2 days, 11:41:55 time: 0.4052 data_time: 0.0144 memory: 13431 grad_norm: 2.8107 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9454 loss: 2.9454 2022/08/15 07:30:17 - mmengine - INFO - Epoch(train) [114][400/3757] lr: 5.9152e-02 eta: 2 days, 11:41:15 time: 0.4012 data_time: 0.0143 memory: 13431 grad_norm: 2.7295 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5394 loss: 2.5394 2022/08/15 07:30:41 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 07:30:58 - mmengine - INFO - Epoch(train) [114][500/3757] lr: 5.9152e-02 eta: 2 days, 11:40:36 time: 0.4075 data_time: 0.0154 memory: 13431 grad_norm: 2.7480 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5355 loss: 2.5355 2022/08/15 07:31:38 - mmengine - INFO - Epoch(train) [114][600/3757] lr: 5.9152e-02 eta: 2 days, 11:39:56 time: 0.4018 data_time: 0.0147 memory: 13431 grad_norm: 2.7049 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6597 loss: 2.6597 2022/08/15 07:32:19 - mmengine - INFO - Epoch(train) [114][700/3757] lr: 5.9152e-02 eta: 2 days, 11:39:17 time: 0.4008 data_time: 0.0140 memory: 13431 grad_norm: 2.8822 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7197 loss: 2.7197 2022/08/15 07:32:59 - mmengine - INFO - Epoch(train) [114][800/3757] lr: 5.9152e-02 eta: 2 days, 11:38:37 time: 0.4086 data_time: 0.0157 memory: 13431 grad_norm: 2.7508 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4611 loss: 2.4611 2022/08/15 07:33:40 - mmengine - INFO - Epoch(train) [114][900/3757] lr: 5.9152e-02 eta: 2 days, 11:37:57 time: 0.4040 data_time: 0.0148 memory: 13431 grad_norm: 2.7556 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5793 loss: 2.5793 2022/08/15 07:34:20 - mmengine - INFO - Epoch(train) [114][1000/3757] lr: 5.9152e-02 eta: 2 days, 11:37:18 time: 0.4017 data_time: 0.0157 memory: 13431 grad_norm: 2.7366 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3085 loss: 2.3085 2022/08/15 07:35:00 - mmengine - INFO - Epoch(train) [114][1100/3757] lr: 5.9152e-02 eta: 2 days, 11:36:38 time: 0.4012 data_time: 0.0152 memory: 13431 grad_norm: 2.7491 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6617 loss: 2.6617 2022/08/15 07:35:41 - mmengine - INFO - Epoch(train) [114][1200/3757] lr: 5.9152e-02 eta: 2 days, 11:35:58 time: 0.4006 data_time: 0.0138 memory: 13431 grad_norm: 2.7684 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5829 loss: 2.5829 2022/08/15 07:36:21 - mmengine - INFO - Epoch(train) [114][1300/3757] lr: 5.9152e-02 eta: 2 days, 11:35:19 time: 0.3988 data_time: 0.0142 memory: 13431 grad_norm: 2.8578 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6499 loss: 2.6499 2022/08/15 07:37:02 - mmengine - INFO - Epoch(train) [114][1400/3757] lr: 5.9152e-02 eta: 2 days, 11:34:39 time: 0.4017 data_time: 0.0146 memory: 13431 grad_norm: 2.7307 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6526 loss: 2.6526 2022/08/15 07:37:26 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 07:37:42 - mmengine - INFO - Epoch(train) [114][1500/3757] lr: 5.9152e-02 eta: 2 days, 11:34:00 time: 0.4049 data_time: 0.0145 memory: 13431 grad_norm: 2.7786 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.8682 loss: 2.8682 2022/08/15 07:38:23 - mmengine - INFO - Epoch(train) [114][1600/3757] lr: 5.9152e-02 eta: 2 days, 11:33:20 time: 0.4001 data_time: 0.0141 memory: 13431 grad_norm: 2.8016 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4385 loss: 2.4385 2022/08/15 07:39:03 - mmengine - INFO - Epoch(train) [114][1700/3757] lr: 5.9152e-02 eta: 2 days, 11:32:40 time: 0.4007 data_time: 0.0146 memory: 13431 grad_norm: 2.7571 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5899 loss: 2.5899 2022/08/15 07:39:44 - mmengine - INFO - Epoch(train) [114][1800/3757] lr: 5.9152e-02 eta: 2 days, 11:32:00 time: 0.4013 data_time: 0.0147 memory: 13431 grad_norm: 2.7553 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7433 loss: 2.7433 2022/08/15 07:40:24 - mmengine - INFO - Epoch(train) [114][1900/3757] lr: 5.9152e-02 eta: 2 days, 11:31:21 time: 0.4012 data_time: 0.0152 memory: 13431 grad_norm: 2.7628 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7807 loss: 2.7807 2022/08/15 07:41:05 - mmengine - INFO - Epoch(train) [114][2000/3757] lr: 5.9152e-02 eta: 2 days, 11:30:42 time: 0.4037 data_time: 0.0156 memory: 13431 grad_norm: 2.7632 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5683 loss: 2.5683 2022/08/15 07:41:46 - mmengine - INFO - Epoch(train) [114][2100/3757] lr: 5.9152e-02 eta: 2 days, 11:30:02 time: 0.4091 data_time: 0.0152 memory: 13431 grad_norm: 2.8082 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7517 loss: 2.7517 2022/08/15 07:42:26 - mmengine - INFO - Epoch(train) [114][2200/3757] lr: 5.9152e-02 eta: 2 days, 11:29:23 time: 0.4034 data_time: 0.0156 memory: 13431 grad_norm: 2.8102 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8668 loss: 2.8668 2022/08/15 07:43:07 - mmengine - INFO - Epoch(train) [114][2300/3757] lr: 5.9152e-02 eta: 2 days, 11:28:43 time: 0.4037 data_time: 0.0160 memory: 13431 grad_norm: 2.8584 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7358 loss: 2.7358 2022/08/15 07:43:47 - mmengine - INFO - Epoch(train) [114][2400/3757] lr: 5.9152e-02 eta: 2 days, 11:28:03 time: 0.4010 data_time: 0.0144 memory: 13431 grad_norm: 2.7440 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8205 loss: 2.8205 2022/08/15 07:44:11 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 07:44:28 - mmengine - INFO - Epoch(train) [114][2500/3757] lr: 5.9152e-02 eta: 2 days, 11:27:24 time: 0.4031 data_time: 0.0151 memory: 13431 grad_norm: 2.7707 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7002 loss: 2.7002 2022/08/15 07:45:08 - mmengine - INFO - Epoch(train) [114][2600/3757] lr: 5.9152e-02 eta: 2 days, 11:26:44 time: 0.4011 data_time: 0.0147 memory: 13431 grad_norm: 2.7955 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5608 loss: 2.5608 2022/08/15 07:45:48 - mmengine - INFO - Epoch(train) [114][2700/3757] lr: 5.9152e-02 eta: 2 days, 11:26:04 time: 0.3998 data_time: 0.0147 memory: 13431 grad_norm: 2.7725 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8071 loss: 2.8071 2022/08/15 07:46:29 - mmengine - INFO - Epoch(train) [114][2800/3757] lr: 5.9152e-02 eta: 2 days, 11:25:25 time: 0.4020 data_time: 0.0163 memory: 13431 grad_norm: 2.7712 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7249 loss: 2.7249 2022/08/15 07:47:10 - mmengine - INFO - Epoch(train) [114][2900/3757] lr: 5.9152e-02 eta: 2 days, 11:24:45 time: 0.4106 data_time: 0.0144 memory: 13431 grad_norm: 2.8754 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7958 loss: 2.7958 2022/08/15 07:47:50 - mmengine - INFO - Epoch(train) [114][3000/3757] lr: 5.9152e-02 eta: 2 days, 11:24:06 time: 0.4030 data_time: 0.0157 memory: 13431 grad_norm: 2.7911 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8235 loss: 2.8235 2022/08/15 07:48:30 - mmengine - INFO - Epoch(train) [114][3100/3757] lr: 5.9152e-02 eta: 2 days, 11:23:26 time: 0.4032 data_time: 0.0157 memory: 13431 grad_norm: 2.8353 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7700 loss: 2.7700 2022/08/15 07:49:11 - mmengine - INFO - Epoch(train) [114][3200/3757] lr: 5.9152e-02 eta: 2 days, 11:22:46 time: 0.4043 data_time: 0.0156 memory: 13431 grad_norm: 2.7423 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9510 loss: 2.9510 2022/08/15 07:49:51 - mmengine - INFO - Epoch(train) [114][3300/3757] lr: 5.9152e-02 eta: 2 days, 11:22:07 time: 0.4088 data_time: 0.0150 memory: 13431 grad_norm: 2.7789 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5547 loss: 2.5547 2022/08/15 07:50:32 - mmengine - INFO - Epoch(train) [114][3400/3757] lr: 5.9152e-02 eta: 2 days, 11:21:27 time: 0.4007 data_time: 0.0156 memory: 13431 grad_norm: 2.7502 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6481 loss: 2.6481 2022/08/15 07:50:56 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 07:51:12 - mmengine - INFO - Epoch(train) [114][3500/3757] lr: 5.9152e-02 eta: 2 days, 11:20:48 time: 0.4033 data_time: 0.0148 memory: 13431 grad_norm: 2.7652 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4911 loss: 2.4911 2022/08/15 07:51:53 - mmengine - INFO - Epoch(train) [114][3600/3757] lr: 5.9152e-02 eta: 2 days, 11:20:08 time: 0.4053 data_time: 0.0149 memory: 13431 grad_norm: 2.9281 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.7703 loss: 2.7703 2022/08/15 07:52:33 - mmengine - INFO - Epoch(train) [114][3700/3757] lr: 5.9152e-02 eta: 2 days, 11:19:28 time: 0.4009 data_time: 0.0144 memory: 13431 grad_norm: 2.8675 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7541 loss: 2.7541 2022/08/15 07:52:56 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 07:52:56 - mmengine - INFO - Epoch(train) [114][3757/3757] lr: 5.9152e-02 eta: 2 days, 11:19:13 time: 0.3889 data_time: 0.0147 memory: 13431 grad_norm: 2.7863 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 2.7554 loss: 2.7554 2022/08/15 07:53:39 - mmengine - INFO - Epoch(train) [115][100/3757] lr: 5.8548e-02 eta: 2 days, 11:18:21 time: 0.4041 data_time: 0.0152 memory: 13431 grad_norm: 2.7970 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4160 loss: 2.4160 2022/08/15 07:54:20 - mmengine - INFO - Epoch(train) [115][200/3757] lr: 5.8548e-02 eta: 2 days, 11:17:41 time: 0.4038 data_time: 0.0157 memory: 13431 grad_norm: 2.8729 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.7047 loss: 2.7047 2022/08/15 07:55:00 - mmengine - INFO - Epoch(train) [115][300/3757] lr: 5.8548e-02 eta: 2 days, 11:17:01 time: 0.4007 data_time: 0.0163 memory: 13431 grad_norm: 2.7977 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6861 loss: 2.6861 2022/08/15 07:55:41 - mmengine - INFO - Epoch(train) [115][400/3757] lr: 5.8548e-02 eta: 2 days, 11:16:22 time: 0.4031 data_time: 0.0161 memory: 13431 grad_norm: 2.7657 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6285 loss: 2.6285 2022/08/15 07:56:21 - mmengine - INFO - Epoch(train) [115][500/3757] lr: 5.8548e-02 eta: 2 days, 11:15:42 time: 0.4112 data_time: 0.0165 memory: 13431 grad_norm: 2.6637 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9087 loss: 2.9087 2022/08/15 07:57:02 - mmengine - INFO - Epoch(train) [115][600/3757] lr: 5.8548e-02 eta: 2 days, 11:15:03 time: 0.3998 data_time: 0.0175 memory: 13431 grad_norm: 2.7167 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5937 loss: 2.5937 2022/08/15 07:57:42 - mmengine - INFO - Epoch(train) [115][700/3757] lr: 5.8548e-02 eta: 2 days, 11:14:23 time: 0.4010 data_time: 0.0152 memory: 13431 grad_norm: 2.7329 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2959 loss: 2.2959 2022/08/15 07:57:43 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 07:58:22 - mmengine - INFO - Epoch(train) [115][800/3757] lr: 5.8548e-02 eta: 2 days, 11:13:43 time: 0.4029 data_time: 0.0159 memory: 13431 grad_norm: 2.8216 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7802 loss: 2.7802 2022/08/15 07:59:03 - mmengine - INFO - Epoch(train) [115][900/3757] lr: 5.8548e-02 eta: 2 days, 11:13:03 time: 0.4016 data_time: 0.0151 memory: 13431 grad_norm: 2.8003 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6626 loss: 2.6626 2022/08/15 07:59:43 - mmengine - INFO - Epoch(train) [115][1000/3757] lr: 5.8548e-02 eta: 2 days, 11:12:24 time: 0.4036 data_time: 0.0156 memory: 13431 grad_norm: 2.7947 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5578 loss: 2.5578 2022/08/15 08:00:24 - mmengine - INFO - Epoch(train) [115][1100/3757] lr: 5.8548e-02 eta: 2 days, 11:11:44 time: 0.4011 data_time: 0.0142 memory: 13431 grad_norm: 2.7955 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6185 loss: 2.6185 2022/08/15 08:01:04 - mmengine - INFO - Epoch(train) [115][1200/3757] lr: 5.8548e-02 eta: 2 days, 11:11:05 time: 0.4075 data_time: 0.0142 memory: 13431 grad_norm: 2.8083 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3928 loss: 2.3928 2022/08/15 08:01:45 - mmengine - INFO - Epoch(train) [115][1300/3757] lr: 5.8548e-02 eta: 2 days, 11:10:25 time: 0.4014 data_time: 0.0156 memory: 13431 grad_norm: 2.7504 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3705 loss: 2.3705 2022/08/15 08:02:25 - mmengine - INFO - Epoch(train) [115][1400/3757] lr: 5.8548e-02 eta: 2 days, 11:09:46 time: 0.4003 data_time: 0.0140 memory: 13431 grad_norm: 2.7906 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8789 loss: 2.8789 2022/08/15 08:03:06 - mmengine - INFO - Epoch(train) [115][1500/3757] lr: 5.8548e-02 eta: 2 days, 11:09:06 time: 0.4031 data_time: 0.0166 memory: 13431 grad_norm: 2.7657 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7767 loss: 2.7767 2022/08/15 08:03:46 - mmengine - INFO - Epoch(train) [115][1600/3757] lr: 5.8548e-02 eta: 2 days, 11:08:26 time: 0.4014 data_time: 0.0147 memory: 13431 grad_norm: 2.8166 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8743 loss: 2.8743 2022/08/15 08:04:27 - mmengine - INFO - Epoch(train) [115][1700/3757] lr: 5.8548e-02 eta: 2 days, 11:07:47 time: 0.4022 data_time: 0.0145 memory: 13431 grad_norm: 2.7823 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5598 loss: 2.5598 2022/08/15 08:04:28 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 08:05:07 - mmengine - INFO - Epoch(train) [115][1800/3757] lr: 5.8548e-02 eta: 2 days, 11:07:07 time: 0.4030 data_time: 0.0150 memory: 13431 grad_norm: 2.8252 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9876 loss: 2.9876 2022/08/15 08:05:48 - mmengine - INFO - Epoch(train) [115][1900/3757] lr: 5.8548e-02 eta: 2 days, 11:06:28 time: 0.4094 data_time: 0.0152 memory: 13431 grad_norm: 2.8126 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.6254 loss: 2.6254 2022/08/15 08:06:28 - mmengine - INFO - Epoch(train) [115][2000/3757] lr: 5.8548e-02 eta: 2 days, 11:05:48 time: 0.4015 data_time: 0.0142 memory: 13431 grad_norm: 2.7616 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3787 loss: 2.3787 2022/08/15 08:07:09 - mmengine - INFO - Epoch(train) [115][2100/3757] lr: 5.8548e-02 eta: 2 days, 11:05:08 time: 0.4020 data_time: 0.0148 memory: 13431 grad_norm: 2.8125 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4899 loss: 2.4899 2022/08/15 08:07:49 - mmengine - INFO - Epoch(train) [115][2200/3757] lr: 5.8548e-02 eta: 2 days, 11:04:28 time: 0.4027 data_time: 0.0147 memory: 13431 grad_norm: 2.7813 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6425 loss: 2.6425 2022/08/15 08:08:30 - mmengine - INFO - Epoch(train) [115][2300/3757] lr: 5.8548e-02 eta: 2 days, 11:03:49 time: 0.4046 data_time: 0.0149 memory: 13431 grad_norm: 2.8873 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9073 loss: 2.9073 2022/08/15 08:09:10 - mmengine - INFO - Epoch(train) [115][2400/3757] lr: 5.8548e-02 eta: 2 days, 11:03:09 time: 0.4017 data_time: 0.0146 memory: 13431 grad_norm: 2.8656 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 3.0897 loss: 3.0897 2022/08/15 08:09:51 - mmengine - INFO - Epoch(train) [115][2500/3757] lr: 5.8548e-02 eta: 2 days, 11:02:30 time: 0.4034 data_time: 0.0156 memory: 13431 grad_norm: 2.7940 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8114 loss: 2.8114 2022/08/15 08:10:31 - mmengine - INFO - Epoch(train) [115][2600/3757] lr: 5.8548e-02 eta: 2 days, 11:01:50 time: 0.4095 data_time: 0.0144 memory: 13431 grad_norm: 2.7648 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0538 loss: 3.0538 2022/08/15 08:11:12 - mmengine - INFO - Epoch(train) [115][2700/3757] lr: 5.8548e-02 eta: 2 days, 11:01:11 time: 0.4010 data_time: 0.0145 memory: 13431 grad_norm: 2.8289 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8297 loss: 2.8297 2022/08/15 08:11:13 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 08:11:52 - mmengine - INFO - Epoch(train) [115][2800/3757] lr: 5.8548e-02 eta: 2 days, 11:00:31 time: 0.4009 data_time: 0.0149 memory: 13431 grad_norm: 2.7856 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7694 loss: 2.7694 2022/08/15 08:12:33 - mmengine - INFO - Epoch(train) [115][2900/3757] lr: 5.8548e-02 eta: 2 days, 10:59:51 time: 0.4014 data_time: 0.0154 memory: 13431 grad_norm: 2.8128 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8278 loss: 2.8278 2022/08/15 08:13:13 - mmengine - INFO - Epoch(train) [115][3000/3757] lr: 5.8548e-02 eta: 2 days, 10:59:12 time: 0.4028 data_time: 0.0143 memory: 13431 grad_norm: 2.7359 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.9792 loss: 2.9792 2022/08/15 08:13:54 - mmengine - INFO - Epoch(train) [115][3100/3757] lr: 5.8548e-02 eta: 2 days, 10:58:32 time: 0.4016 data_time: 0.0155 memory: 13431 grad_norm: 2.7675 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6197 loss: 2.6197 2022/08/15 08:14:34 - mmengine - INFO - Epoch(train) [115][3200/3757] lr: 5.8548e-02 eta: 2 days, 10:57:53 time: 0.4030 data_time: 0.0146 memory: 13431 grad_norm: 2.8539 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6962 loss: 2.6962 2022/08/15 08:15:15 - mmengine - INFO - Epoch(train) [115][3300/3757] lr: 5.8548e-02 eta: 2 days, 10:57:13 time: 0.4037 data_time: 0.0163 memory: 13431 grad_norm: 2.7476 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6677 loss: 2.6677 2022/08/15 08:15:55 - mmengine - INFO - Epoch(train) [115][3400/3757] lr: 5.8548e-02 eta: 2 days, 10:56:34 time: 0.4025 data_time: 0.0142 memory: 13431 grad_norm: 2.9047 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5584 loss: 2.5584 2022/08/15 08:16:36 - mmengine - INFO - Epoch(train) [115][3500/3757] lr: 5.8548e-02 eta: 2 days, 10:55:54 time: 0.3996 data_time: 0.0152 memory: 13431 grad_norm: 2.7765 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6223 loss: 2.6223 2022/08/15 08:17:16 - mmengine - INFO - Epoch(train) [115][3600/3757] lr: 5.8548e-02 eta: 2 days, 10:55:14 time: 0.4010 data_time: 0.0140 memory: 13431 grad_norm: 2.7527 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7772 loss: 2.7772 2022/08/15 08:17:57 - mmengine - INFO - Epoch(train) [115][3700/3757] lr: 5.8548e-02 eta: 2 days, 10:54:35 time: 0.4025 data_time: 0.0148 memory: 13431 grad_norm: 2.9069 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7497 loss: 2.7497 2022/08/15 08:17:58 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 08:18:20 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 08:18:20 - mmengine - INFO - Epoch(train) [115][3757/3757] lr: 5.8548e-02 eta: 2 days, 10:54:19 time: 0.3954 data_time: 0.0140 memory: 13431 grad_norm: 2.9573 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 2.6330 loss: 2.6330 2022/08/15 08:18:42 - mmengine - INFO - Epoch(val) [115][100/310] eta: 0:00:45 time: 0.2156 data_time: 0.0835 memory: 1974 2022/08/15 08:19:04 - mmengine - INFO - Epoch(val) [115][200/310] eta: 0:00:20 time: 0.1899 data_time: 0.0550 memory: 1974 2022/08/15 08:19:25 - mmengine - INFO - Epoch(val) [115][300/310] eta: 0:00:02 time: 0.2060 data_time: 0.0765 memory: 1974 2022/08/15 08:19:29 - mmengine - INFO - Epoch(val) [115][310/310] acc/top1: 0.4417 acc/top5: 0.7169 acc/mean1: 0.4413 2022/08/15 08:20:12 - mmengine - INFO - Epoch(train) [116][100/3757] lr: 5.7943e-02 eta: 2 days, 10:53:27 time: 0.4033 data_time: 0.0150 memory: 13431 grad_norm: 2.8872 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5764 loss: 2.5764 2022/08/15 08:20:52 - mmengine - INFO - Epoch(train) [116][200/3757] lr: 5.7943e-02 eta: 2 days, 10:52:47 time: 0.4027 data_time: 0.0146 memory: 13431 grad_norm: 2.8462 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6285 loss: 2.6285 2022/08/15 08:21:33 - mmengine - INFO - Epoch(train) [116][300/3757] lr: 5.7943e-02 eta: 2 days, 10:52:08 time: 0.4003 data_time: 0.0160 memory: 13431 grad_norm: 2.8379 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7520 loss: 2.7520 2022/08/15 08:22:13 - mmengine - INFO - Epoch(train) [116][400/3757] lr: 5.7943e-02 eta: 2 days, 10:51:28 time: 0.4022 data_time: 0.0161 memory: 13431 grad_norm: 2.7225 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5270 loss: 2.5270 2022/08/15 08:22:54 - mmengine - INFO - Epoch(train) [116][500/3757] lr: 5.7943e-02 eta: 2 days, 10:50:48 time: 0.4030 data_time: 0.0148 memory: 13431 grad_norm: 2.7201 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6224 loss: 2.6224 2022/08/15 08:23:34 - mmengine - INFO - Epoch(train) [116][600/3757] lr: 5.7943e-02 eta: 2 days, 10:50:09 time: 0.4029 data_time: 0.0169 memory: 13431 grad_norm: 2.8101 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6916 loss: 2.6916 2022/08/15 08:24:15 - mmengine - INFO - Epoch(train) [116][700/3757] lr: 5.7943e-02 eta: 2 days, 10:49:29 time: 0.4030 data_time: 0.0146 memory: 13431 grad_norm: 2.7759 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8268 loss: 2.8268 2022/08/15 08:24:55 - mmengine - INFO - Epoch(train) [116][800/3757] lr: 5.7943e-02 eta: 2 days, 10:48:50 time: 0.4021 data_time: 0.0145 memory: 13431 grad_norm: 2.8022 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7538 loss: 2.7538 2022/08/15 08:25:36 - mmengine - INFO - Epoch(train) [116][900/3757] lr: 5.7943e-02 eta: 2 days, 10:48:10 time: 0.4113 data_time: 0.0141 memory: 13431 grad_norm: 2.7766 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9841 loss: 2.9841 2022/08/15 08:25:54 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 08:26:16 - mmengine - INFO - Epoch(train) [116][1000/3757] lr: 5.7943e-02 eta: 2 days, 10:47:31 time: 0.4003 data_time: 0.0141 memory: 13431 grad_norm: 2.7114 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0956 loss: 3.0956 2022/08/15 08:26:57 - mmengine - INFO - Epoch(train) [116][1100/3757] lr: 5.7943e-02 eta: 2 days, 10:46:51 time: 0.4002 data_time: 0.0146 memory: 13431 grad_norm: 2.7785 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5262 loss: 2.5262 2022/08/15 08:27:37 - mmengine - INFO - Epoch(train) [116][1200/3757] lr: 5.7943e-02 eta: 2 days, 10:46:11 time: 0.4006 data_time: 0.0147 memory: 13431 grad_norm: 2.8689 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6159 loss: 2.6159 2022/08/15 08:28:18 - mmengine - INFO - Epoch(train) [116][1300/3757] lr: 5.7943e-02 eta: 2 days, 10:45:32 time: 0.4004 data_time: 0.0159 memory: 13431 grad_norm: 2.7840 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6566 loss: 2.6566 2022/08/15 08:28:59 - mmengine - INFO - Epoch(train) [116][1400/3757] lr: 5.7943e-02 eta: 2 days, 10:44:53 time: 0.4130 data_time: 0.0160 memory: 13431 grad_norm: 2.8196 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2089 loss: 2.2089 2022/08/15 08:29:39 - mmengine - INFO - Epoch(train) [116][1500/3757] lr: 5.7943e-02 eta: 2 days, 10:44:13 time: 0.4027 data_time: 0.0143 memory: 13431 grad_norm: 2.8423 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6405 loss: 2.6405 2022/08/15 08:30:20 - mmengine - INFO - Epoch(train) [116][1600/3757] lr: 5.7943e-02 eta: 2 days, 10:43:33 time: 0.4027 data_time: 0.0145 memory: 13431 grad_norm: 2.8376 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8692 loss: 2.8692 2022/08/15 08:31:00 - mmengine - INFO - Epoch(train) [116][1700/3757] lr: 5.7943e-02 eta: 2 days, 10:42:54 time: 0.4005 data_time: 0.0145 memory: 13431 grad_norm: 2.7963 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6728 loss: 2.6728 2022/08/15 08:31:41 - mmengine - INFO - Epoch(train) [116][1800/3757] lr: 5.7943e-02 eta: 2 days, 10:42:14 time: 0.4014 data_time: 0.0152 memory: 13431 grad_norm: 2.7450 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.0695 loss: 3.0695 2022/08/15 08:32:21 - mmengine - INFO - Epoch(train) [116][1900/3757] lr: 5.7943e-02 eta: 2 days, 10:41:34 time: 0.4001 data_time: 0.0154 memory: 13431 grad_norm: 2.7735 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5860 loss: 2.5860 2022/08/15 08:32:39 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 08:33:02 - mmengine - INFO - Epoch(train) [116][2000/3757] lr: 5.7943e-02 eta: 2 days, 10:40:55 time: 0.4016 data_time: 0.0149 memory: 13431 grad_norm: 2.8441 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6357 loss: 2.6357 2022/08/15 08:33:42 - mmengine - INFO - Epoch(train) [116][2100/3757] lr: 5.7943e-02 eta: 2 days, 10:40:15 time: 0.4128 data_time: 0.0143 memory: 13431 grad_norm: 2.7943 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7669 loss: 2.7669 2022/08/15 08:34:23 - mmengine - INFO - Epoch(train) [116][2200/3757] lr: 5.7943e-02 eta: 2 days, 10:39:36 time: 0.4014 data_time: 0.0156 memory: 13431 grad_norm: 2.9148 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8091 loss: 2.8091 2022/08/15 08:35:03 - mmengine - INFO - Epoch(train) [116][2300/3757] lr: 5.7943e-02 eta: 2 days, 10:38:56 time: 0.4101 data_time: 0.0166 memory: 13431 grad_norm: 2.7534 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5640 loss: 2.5640 2022/08/15 08:35:44 - mmengine - INFO - Epoch(train) [116][2400/3757] lr: 5.7943e-02 eta: 2 days, 10:38:17 time: 0.4029 data_time: 0.0152 memory: 13431 grad_norm: 2.8177 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8260 loss: 2.8260 2022/08/15 08:36:24 - mmengine - INFO - Epoch(train) [116][2500/3757] lr: 5.7943e-02 eta: 2 days, 10:37:37 time: 0.4050 data_time: 0.0149 memory: 13431 grad_norm: 2.9045 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7011 loss: 2.7011 2022/08/15 08:37:05 - mmengine - INFO - Epoch(train) [116][2600/3757] lr: 5.7943e-02 eta: 2 days, 10:36:58 time: 0.4033 data_time: 0.0153 memory: 13431 grad_norm: 2.8013 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7165 loss: 2.7165 2022/08/15 08:37:46 - mmengine - INFO - Epoch(train) [116][2700/3757] lr: 5.7943e-02 eta: 2 days, 10:36:18 time: 0.4035 data_time: 0.0146 memory: 13431 grad_norm: 2.8238 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9460 loss: 2.9460 2022/08/15 08:38:26 - mmengine - INFO - Epoch(train) [116][2800/3757] lr: 5.7943e-02 eta: 2 days, 10:35:39 time: 0.4043 data_time: 0.0154 memory: 13431 grad_norm: 2.8618 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8387 loss: 2.8387 2022/08/15 08:39:07 - mmengine - INFO - Epoch(train) [116][2900/3757] lr: 5.7943e-02 eta: 2 days, 10:34:59 time: 0.4008 data_time: 0.0148 memory: 13431 grad_norm: 2.7922 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.0955 loss: 3.0955 2022/08/15 08:39:25 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 08:39:47 - mmengine - INFO - Epoch(train) [116][3000/3757] lr: 5.7943e-02 eta: 2 days, 10:34:19 time: 0.4030 data_time: 0.0148 memory: 13431 grad_norm: 2.7500 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4577 loss: 2.4577 2022/08/15 08:40:28 - mmengine - INFO - Epoch(train) [116][3100/3757] lr: 5.7943e-02 eta: 2 days, 10:33:40 time: 0.4004 data_time: 0.0145 memory: 13431 grad_norm: 2.7739 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6538 loss: 2.6538 2022/08/15 08:41:08 - mmengine - INFO - Epoch(train) [116][3200/3757] lr: 5.7943e-02 eta: 2 days, 10:33:00 time: 0.4015 data_time: 0.0149 memory: 13431 grad_norm: 2.8103 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.8228 loss: 2.8228 2022/08/15 08:41:49 - mmengine - INFO - Epoch(train) [116][3300/3757] lr: 5.7943e-02 eta: 2 days, 10:32:20 time: 0.4000 data_time: 0.0141 memory: 13431 grad_norm: 2.8385 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5159 loss: 2.5159 2022/08/15 08:42:29 - mmengine - INFO - Epoch(train) [116][3400/3757] lr: 5.7943e-02 eta: 2 days, 10:31:41 time: 0.4012 data_time: 0.0144 memory: 13431 grad_norm: 2.7524 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5782 loss: 2.5782 2022/08/15 08:43:10 - mmengine - INFO - Epoch(train) [116][3500/3757] lr: 5.7943e-02 eta: 2 days, 10:31:01 time: 0.4007 data_time: 0.0148 memory: 13431 grad_norm: 2.8583 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9169 loss: 2.9169 2022/08/15 08:43:50 - mmengine - INFO - Epoch(train) [116][3600/3757] lr: 5.7943e-02 eta: 2 days, 10:30:21 time: 0.4002 data_time: 0.0143 memory: 13431 grad_norm: 2.8690 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4311 loss: 2.4311 2022/08/15 08:44:31 - mmengine - INFO - Epoch(train) [116][3700/3757] lr: 5.7943e-02 eta: 2 days, 10:29:42 time: 0.4139 data_time: 0.0146 memory: 13431 grad_norm: 2.7789 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7308 loss: 2.7308 2022/08/15 08:44:53 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 08:44:54 - mmengine - INFO - Epoch(train) [116][3757/3757] lr: 5.7943e-02 eta: 2 days, 10:29:26 time: 0.3891 data_time: 0.0153 memory: 13431 grad_norm: 2.8346 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 2.6209 loss: 2.6209 2022/08/15 08:44:54 - mmengine - INFO - Saving checkpoint at 116 epochs 2022/08/15 08:45:41 - mmengine - INFO - Epoch(train) [117][100/3757] lr: 5.7337e-02 eta: 2 days, 10:28:33 time: 0.4017 data_time: 0.0156 memory: 13431 grad_norm: 2.8567 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8896 loss: 2.8896 2022/08/15 08:46:17 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 08:46:22 - mmengine - INFO - Epoch(train) [117][200/3757] lr: 5.7337e-02 eta: 2 days, 10:27:53 time: 0.4024 data_time: 0.0150 memory: 13431 grad_norm: 2.8635 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7242 loss: 2.7242 2022/08/15 08:47:02 - mmengine - INFO - Epoch(train) [117][300/3757] lr: 5.7337e-02 eta: 2 days, 10:27:13 time: 0.4037 data_time: 0.0153 memory: 13431 grad_norm: 2.8807 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9335 loss: 2.9335 2022/08/15 08:47:43 - mmengine - INFO - Epoch(train) [117][400/3757] lr: 5.7337e-02 eta: 2 days, 10:26:34 time: 0.4036 data_time: 0.0153 memory: 13431 grad_norm: 2.8680 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7002 loss: 2.7002 2022/08/15 08:48:23 - mmengine - INFO - Epoch(train) [117][500/3757] lr: 5.7337e-02 eta: 2 days, 10:25:54 time: 0.4015 data_time: 0.0135 memory: 13431 grad_norm: 2.7905 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5540 loss: 2.5540 2022/08/15 08:49:04 - mmengine - INFO - Epoch(train) [117][600/3757] lr: 5.7337e-02 eta: 2 days, 10:25:15 time: 0.4077 data_time: 0.0158 memory: 13431 grad_norm: 2.8595 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6228 loss: 2.6228 2022/08/15 08:49:44 - mmengine - INFO - Epoch(train) [117][700/3757] lr: 5.7337e-02 eta: 2 days, 10:24:35 time: 0.4019 data_time: 0.0146 memory: 13431 grad_norm: 2.7604 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8598 loss: 2.8598 2022/08/15 08:50:25 - mmengine - INFO - Epoch(train) [117][800/3757] lr: 5.7337e-02 eta: 2 days, 10:23:55 time: 0.4048 data_time: 0.0150 memory: 13431 grad_norm: 2.8582 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5041 loss: 2.5041 2022/08/15 08:51:05 - mmengine - INFO - Epoch(train) [117][900/3757] lr: 5.7337e-02 eta: 2 days, 10:23:16 time: 0.4025 data_time: 0.0165 memory: 13431 grad_norm: 2.8025 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6020 loss: 2.6020 2022/08/15 08:51:46 - mmengine - INFO - Epoch(train) [117][1000/3757] lr: 5.7337e-02 eta: 2 days, 10:22:36 time: 0.4037 data_time: 0.0162 memory: 13431 grad_norm: 2.8737 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5638 loss: 2.5638 2022/08/15 08:52:27 - mmengine - INFO - Epoch(train) [117][1100/3757] lr: 5.7337e-02 eta: 2 days, 10:21:57 time: 0.4018 data_time: 0.0157 memory: 13431 grad_norm: 2.7340 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.1264 loss: 3.1264 2022/08/15 08:53:02 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 08:53:07 - mmengine - INFO - Epoch(train) [117][1200/3757] lr: 5.7337e-02 eta: 2 days, 10:21:17 time: 0.4029 data_time: 0.0147 memory: 13431 grad_norm: 2.7901 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3522 loss: 2.3522 2022/08/15 08:53:48 - mmengine - INFO - Epoch(train) [117][1300/3757] lr: 5.7337e-02 eta: 2 days, 10:20:38 time: 0.4185 data_time: 0.0149 memory: 13431 grad_norm: 2.7897 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8614 loss: 2.8614 2022/08/15 08:54:29 - mmengine - INFO - Epoch(train) [117][1400/3757] lr: 5.7337e-02 eta: 2 days, 10:19:59 time: 0.4029 data_time: 0.0152 memory: 13431 grad_norm: 2.8354 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4434 loss: 2.4434 2022/08/15 08:55:09 - mmengine - INFO - Epoch(train) [117][1500/3757] lr: 5.7337e-02 eta: 2 days, 10:19:19 time: 0.4017 data_time: 0.0154 memory: 13431 grad_norm: 2.8518 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7068 loss: 2.7068 2022/08/15 08:55:50 - mmengine - INFO - Epoch(train) [117][1600/3757] lr: 5.7337e-02 eta: 2 days, 10:18:39 time: 0.3995 data_time: 0.0150 memory: 13431 grad_norm: 2.8025 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8507 loss: 2.8507 2022/08/15 08:56:30 - mmengine - INFO - Epoch(train) [117][1700/3757] lr: 5.7337e-02 eta: 2 days, 10:18:00 time: 0.4006 data_time: 0.0140 memory: 13431 grad_norm: 2.7330 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7565 loss: 2.7565 2022/08/15 08:57:11 - mmengine - INFO - Epoch(train) [117][1800/3757] lr: 5.7337e-02 eta: 2 days, 10:17:20 time: 0.4014 data_time: 0.0144 memory: 13431 grad_norm: 2.7308 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.6686 loss: 2.6686 2022/08/15 08:57:51 - mmengine - INFO - Epoch(train) [117][1900/3757] lr: 5.7337e-02 eta: 2 days, 10:16:40 time: 0.4008 data_time: 0.0153 memory: 13431 grad_norm: 2.7839 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6678 loss: 2.6678 2022/08/15 08:58:32 - mmengine - INFO - Epoch(train) [117][2000/3757] lr: 5.7337e-02 eta: 2 days, 10:16:01 time: 0.4022 data_time: 0.0148 memory: 13431 grad_norm: 2.8882 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7824 loss: 2.7824 2022/08/15 08:59:13 - mmengine - INFO - Epoch(train) [117][2100/3757] lr: 5.7337e-02 eta: 2 days, 10:15:22 time: 0.4023 data_time: 0.0143 memory: 13431 grad_norm: 2.7887 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8170 loss: 2.8170 2022/08/15 08:59:48 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 08:59:53 - mmengine - INFO - Epoch(train) [117][2200/3757] lr: 5.7337e-02 eta: 2 days, 10:14:42 time: 0.4029 data_time: 0.0159 memory: 13431 grad_norm: 2.8313 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0347 loss: 3.0347 2022/08/15 09:00:34 - mmengine - INFO - Epoch(train) [117][2300/3757] lr: 5.7337e-02 eta: 2 days, 10:14:02 time: 0.4037 data_time: 0.0156 memory: 13431 grad_norm: 2.7143 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5688 loss: 2.5688 2022/08/15 09:01:14 - mmengine - INFO - Epoch(train) [117][2400/3757] lr: 5.7337e-02 eta: 2 days, 10:13:23 time: 0.4029 data_time: 0.0166 memory: 13431 grad_norm: 2.7109 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7799 loss: 2.7799 2022/08/15 09:01:55 - mmengine - INFO - Epoch(train) [117][2500/3757] lr: 5.7337e-02 eta: 2 days, 10:12:43 time: 0.4002 data_time: 0.0145 memory: 13431 grad_norm: 2.7224 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.7699 loss: 2.7699 2022/08/15 09:02:35 - mmengine - INFO - Epoch(train) [117][2600/3757] lr: 5.7337e-02 eta: 2 days, 10:12:03 time: 0.4026 data_time: 0.0157 memory: 13431 grad_norm: 2.8017 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7750 loss: 2.7750 2022/08/15 09:03:16 - mmengine - INFO - Epoch(train) [117][2700/3757] lr: 5.7337e-02 eta: 2 days, 10:11:24 time: 0.4031 data_time: 0.0154 memory: 13431 grad_norm: 2.7221 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5341 loss: 2.5341 2022/08/15 09:03:56 - mmengine - INFO - Epoch(train) [117][2800/3757] lr: 5.7337e-02 eta: 2 days, 10:10:44 time: 0.4027 data_time: 0.0150 memory: 13431 grad_norm: 2.7713 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6050 loss: 2.6050 2022/08/15 09:04:37 - mmengine - INFO - Epoch(train) [117][2900/3757] lr: 5.7337e-02 eta: 2 days, 10:10:05 time: 0.4032 data_time: 0.0145 memory: 13431 grad_norm: 2.9349 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9223 loss: 2.9223 2022/08/15 09:05:17 - mmengine - INFO - Epoch(train) [117][3000/3757] lr: 5.7337e-02 eta: 2 days, 10:09:25 time: 0.4010 data_time: 0.0151 memory: 13431 grad_norm: 2.7124 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9424 loss: 2.9424 2022/08/15 09:05:58 - mmengine - INFO - Epoch(train) [117][3100/3757] lr: 5.7337e-02 eta: 2 days, 10:08:45 time: 0.4006 data_time: 0.0151 memory: 13431 grad_norm: 2.8782 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5586 loss: 2.5586 2022/08/15 09:06:33 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 09:06:38 - mmengine - INFO - Epoch(train) [117][3200/3757] lr: 5.7337e-02 eta: 2 days, 10:08:06 time: 0.4031 data_time: 0.0155 memory: 13431 grad_norm: 2.7812 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4827 loss: 2.4827 2022/08/15 09:07:19 - mmengine - INFO - Epoch(train) [117][3300/3757] lr: 5.7337e-02 eta: 2 days, 10:07:26 time: 0.4025 data_time: 0.0146 memory: 13431 grad_norm: 2.8132 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7198 loss: 2.7198 2022/08/15 09:07:59 - mmengine - INFO - Epoch(train) [117][3400/3757] lr: 5.7337e-02 eta: 2 days, 10:06:47 time: 0.4051 data_time: 0.0142 memory: 13431 grad_norm: 2.8421 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8003 loss: 2.8003 2022/08/15 09:08:40 - mmengine - INFO - Epoch(train) [117][3500/3757] lr: 5.7337e-02 eta: 2 days, 10:06:07 time: 0.4076 data_time: 0.0153 memory: 13431 grad_norm: 2.7734 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5009 loss: 2.5009 2022/08/15 09:09:21 - mmengine - INFO - Epoch(train) [117][3600/3757] lr: 5.7337e-02 eta: 2 days, 10:05:28 time: 0.4012 data_time: 0.0143 memory: 13431 grad_norm: 2.8351 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9738 loss: 2.9738 2022/08/15 09:10:01 - mmengine - INFO - Epoch(train) [117][3700/3757] lr: 5.7337e-02 eta: 2 days, 10:04:48 time: 0.4026 data_time: 0.0158 memory: 13431 grad_norm: 2.7641 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5763 loss: 2.5763 2022/08/15 09:10:24 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 09:10:24 - mmengine - INFO - Epoch(train) [117][3757/3757] lr: 5.7337e-02 eta: 2 days, 10:04:32 time: 0.3925 data_time: 0.0137 memory: 13431 grad_norm: 2.8822 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 2.7702 loss: 2.7702 2022/08/15 09:11:07 - mmengine - INFO - Epoch(train) [118][100/3757] lr: 5.6729e-02 eta: 2 days, 10:03:41 time: 0.4104 data_time: 0.0147 memory: 13431 grad_norm: 2.8579 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6217 loss: 2.6217 2022/08/15 09:11:48 - mmengine - INFO - Epoch(train) [118][200/3757] lr: 5.6729e-02 eta: 2 days, 10:03:01 time: 0.4039 data_time: 0.0151 memory: 13431 grad_norm: 2.7538 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0579 loss: 3.0579 2022/08/15 09:12:28 - mmengine - INFO - Epoch(train) [118][300/3757] lr: 5.6729e-02 eta: 2 days, 10:02:22 time: 0.4039 data_time: 0.0138 memory: 13431 grad_norm: 2.8150 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6171 loss: 2.6171 2022/08/15 09:13:09 - mmengine - INFO - Epoch(train) [118][400/3757] lr: 5.6729e-02 eta: 2 days, 10:01:42 time: 0.4017 data_time: 0.0149 memory: 13431 grad_norm: 2.9263 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6018 loss: 2.6018 2022/08/15 09:13:21 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 09:13:49 - mmengine - INFO - Epoch(train) [118][500/3757] lr: 5.6729e-02 eta: 2 days, 10:01:03 time: 0.4013 data_time: 0.0149 memory: 13431 grad_norm: 2.8319 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6352 loss: 2.6352 2022/08/15 09:14:30 - mmengine - INFO - Epoch(train) [118][600/3757] lr: 5.6729e-02 eta: 2 days, 10:00:23 time: 0.4032 data_time: 0.0163 memory: 13431 grad_norm: 2.8972 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3894 loss: 2.3894 2022/08/15 09:15:10 - mmengine - INFO - Epoch(train) [118][700/3757] lr: 5.6729e-02 eta: 2 days, 9:59:43 time: 0.4008 data_time: 0.0139 memory: 13431 grad_norm: 2.7934 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7295 loss: 2.7295 2022/08/15 09:15:51 - mmengine - INFO - Epoch(train) [118][800/3757] lr: 5.6729e-02 eta: 2 days, 9:59:04 time: 0.4105 data_time: 0.0164 memory: 13431 grad_norm: 2.8146 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8355 loss: 2.8355 2022/08/15 09:16:31 - mmengine - INFO - Epoch(train) [118][900/3757] lr: 5.6729e-02 eta: 2 days, 9:58:24 time: 0.4016 data_time: 0.0145 memory: 13431 grad_norm: 2.8963 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5246 loss: 2.5246 2022/08/15 09:17:12 - mmengine - INFO - Epoch(train) [118][1000/3757] lr: 5.6729e-02 eta: 2 days, 9:57:44 time: 0.4024 data_time: 0.0170 memory: 13431 grad_norm: 2.9059 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7048 loss: 2.7048 2022/08/15 09:17:52 - mmengine - INFO - Epoch(train) [118][1100/3757] lr: 5.6729e-02 eta: 2 days, 9:57:05 time: 0.4015 data_time: 0.0145 memory: 13431 grad_norm: 2.7799 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7949 loss: 2.7949 2022/08/15 09:18:33 - mmengine - INFO - Epoch(train) [118][1200/3757] lr: 5.6729e-02 eta: 2 days, 9:56:26 time: 0.4021 data_time: 0.0150 memory: 13431 grad_norm: 2.9400 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5029 loss: 2.5029 2022/08/15 09:19:14 - mmengine - INFO - Epoch(train) [118][1300/3757] lr: 5.6729e-02 eta: 2 days, 9:55:46 time: 0.4011 data_time: 0.0144 memory: 13431 grad_norm: 2.7698 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3298 loss: 2.3298 2022/08/15 09:19:54 - mmengine - INFO - Epoch(train) [118][1400/3757] lr: 5.6729e-02 eta: 2 days, 9:55:06 time: 0.4035 data_time: 0.0139 memory: 13431 grad_norm: 2.8704 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0161 loss: 3.0161 2022/08/15 09:20:07 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 09:20:35 - mmengine - INFO - Epoch(train) [118][1500/3757] lr: 5.6729e-02 eta: 2 days, 9:54:27 time: 0.4090 data_time: 0.0148 memory: 13431 grad_norm: 2.7338 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6182 loss: 2.6182 2022/08/15 09:21:15 - mmengine - INFO - Epoch(train) [118][1600/3757] lr: 5.6729e-02 eta: 2 days, 9:53:47 time: 0.4018 data_time: 0.0155 memory: 13431 grad_norm: 2.8106 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5739 loss: 2.5739 2022/08/15 09:21:56 - mmengine - INFO - Epoch(train) [118][1700/3757] lr: 5.6729e-02 eta: 2 days, 9:53:07 time: 0.4033 data_time: 0.0155 memory: 13431 grad_norm: 2.6475 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8598 loss: 2.8598 2022/08/15 09:22:36 - mmengine - INFO - Epoch(train) [118][1800/3757] lr: 5.6729e-02 eta: 2 days, 9:52:28 time: 0.4109 data_time: 0.0155 memory: 13431 grad_norm: 2.9017 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6123 loss: 2.6123 2022/08/15 09:23:17 - mmengine - INFO - Epoch(train) [118][1900/3757] lr: 5.6729e-02 eta: 2 days, 9:51:48 time: 0.4034 data_time: 0.0145 memory: 13431 grad_norm: 2.8923 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6392 loss: 2.6392 2022/08/15 09:23:58 - mmengine - INFO - Epoch(train) [118][2000/3757] lr: 5.6729e-02 eta: 2 days, 9:51:09 time: 0.4001 data_time: 0.0150 memory: 13431 grad_norm: 2.8523 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.6841 loss: 2.6841 2022/08/15 09:24:38 - mmengine - INFO - Epoch(train) [118][2100/3757] lr: 5.6729e-02 eta: 2 days, 9:50:29 time: 0.4101 data_time: 0.0148 memory: 13431 grad_norm: 2.7948 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7723 loss: 2.7723 2022/08/15 09:25:19 - mmengine - INFO - Epoch(train) [118][2200/3757] lr: 5.6729e-02 eta: 2 days, 9:49:50 time: 0.4016 data_time: 0.0145 memory: 13431 grad_norm: 2.8448 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.7014 loss: 2.7014 2022/08/15 09:25:59 - mmengine - INFO - Epoch(train) [118][2300/3757] lr: 5.6729e-02 eta: 2 days, 9:49:10 time: 0.4110 data_time: 0.0180 memory: 13431 grad_norm: 2.7869 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8485 loss: 2.8485 2022/08/15 09:26:40 - mmengine - INFO - Epoch(train) [118][2400/3757] lr: 5.6729e-02 eta: 2 days, 9:48:31 time: 0.4003 data_time: 0.0148 memory: 13431 grad_norm: 2.8184 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5059 loss: 2.5059 2022/08/15 09:26:53 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 09:27:21 - mmengine - INFO - Epoch(train) [118][2500/3757] lr: 5.6729e-02 eta: 2 days, 9:47:51 time: 0.4036 data_time: 0.0147 memory: 13431 grad_norm: 2.8324 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5683 loss: 2.5683 2022/08/15 09:28:01 - mmengine - INFO - Epoch(train) [118][2600/3757] lr: 5.6729e-02 eta: 2 days, 9:47:12 time: 0.4030 data_time: 0.0160 memory: 13431 grad_norm: 2.9261 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6147 loss: 2.6147 2022/08/15 09:28:42 - mmengine - INFO - Epoch(train) [118][2700/3757] lr: 5.6729e-02 eta: 2 days, 9:46:32 time: 0.4024 data_time: 0.0145 memory: 13431 grad_norm: 2.7684 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6287 loss: 2.6287 2022/08/15 09:29:22 - mmengine - INFO - Epoch(train) [118][2800/3757] lr: 5.6729e-02 eta: 2 days, 9:45:53 time: 0.4125 data_time: 0.0154 memory: 13431 grad_norm: 2.8338 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.5744 loss: 2.5744 2022/08/15 09:30:03 - mmengine - INFO - Epoch(train) [118][2900/3757] lr: 5.6729e-02 eta: 2 days, 9:45:13 time: 0.4006 data_time: 0.0142 memory: 13431 grad_norm: 2.7731 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4421 loss: 2.4421 2022/08/15 09:30:43 - mmengine - INFO - Epoch(train) [118][3000/3757] lr: 5.6729e-02 eta: 2 days, 9:44:33 time: 0.4009 data_time: 0.0175 memory: 13431 grad_norm: 2.8908 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6677 loss: 2.6677 2022/08/15 09:31:24 - mmengine - INFO - Epoch(train) [118][3100/3757] lr: 5.6729e-02 eta: 2 days, 9:43:54 time: 0.4029 data_time: 0.0144 memory: 13431 grad_norm: 2.8285 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.6947 loss: 2.6947 2022/08/15 09:32:04 - mmengine - INFO - Epoch(train) [118][3200/3757] lr: 5.6729e-02 eta: 2 days, 9:43:14 time: 0.4074 data_time: 0.0149 memory: 13431 grad_norm: 2.9670 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.4305 loss: 2.4305 2022/08/15 09:32:45 - mmengine - INFO - Epoch(train) [118][3300/3757] lr: 5.6729e-02 eta: 2 days, 9:42:34 time: 0.4018 data_time: 0.0146 memory: 13431 grad_norm: 2.8858 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.4985 loss: 2.4985 2022/08/15 09:33:25 - mmengine - INFO - Epoch(train) [118][3400/3757] lr: 5.6729e-02 eta: 2 days, 9:41:55 time: 0.4011 data_time: 0.0171 memory: 13431 grad_norm: 2.9230 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7642 loss: 2.7642 2022/08/15 09:33:38 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 09:34:06 - mmengine - INFO - Epoch(train) [118][3500/3757] lr: 5.6729e-02 eta: 2 days, 9:41:15 time: 0.4096 data_time: 0.0142 memory: 13431 grad_norm: 2.8454 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5405 loss: 2.5405 2022/08/15 09:34:46 - mmengine - INFO - Epoch(train) [118][3600/3757] lr: 5.6729e-02 eta: 2 days, 9:40:35 time: 0.4025 data_time: 0.0143 memory: 13431 grad_norm: 2.8168 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7427 loss: 2.7427 2022/08/15 09:35:27 - mmengine - INFO - Epoch(train) [118][3700/3757] lr: 5.6729e-02 eta: 2 days, 9:39:56 time: 0.4025 data_time: 0.0156 memory: 13431 grad_norm: 2.8742 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9055 loss: 2.9055 2022/08/15 09:35:49 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 09:35:49 - mmengine - INFO - Epoch(train) [118][3757/3757] lr: 5.6729e-02 eta: 2 days, 9:39:40 time: 0.3897 data_time: 0.0134 memory: 13431 grad_norm: 2.8425 top1_acc: 0.1429 top5_acc: 0.5714 loss_cls: 2.9484 loss: 2.9484 2022/08/15 09:36:32 - mmengine - INFO - Epoch(train) [119][100/3757] lr: 5.6121e-02 eta: 2 days, 9:38:48 time: 0.3996 data_time: 0.0148 memory: 13431 grad_norm: 2.8387 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4911 loss: 2.4911 2022/08/15 09:37:13 - mmengine - INFO - Epoch(train) [119][200/3757] lr: 5.6121e-02 eta: 2 days, 9:38:08 time: 0.3999 data_time: 0.0147 memory: 13431 grad_norm: 2.7452 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6120 loss: 2.6120 2022/08/15 09:37:53 - mmengine - INFO - Epoch(train) [119][300/3757] lr: 5.6121e-02 eta: 2 days, 9:37:28 time: 0.4000 data_time: 0.0145 memory: 13431 grad_norm: 2.9001 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6198 loss: 2.6198 2022/08/15 09:38:33 - mmengine - INFO - Epoch(train) [119][400/3757] lr: 5.6121e-02 eta: 2 days, 9:36:49 time: 0.4019 data_time: 0.0150 memory: 13431 grad_norm: 2.7840 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7524 loss: 2.7524 2022/08/15 09:39:14 - mmengine - INFO - Epoch(train) [119][500/3757] lr: 5.6121e-02 eta: 2 days, 9:36:09 time: 0.4021 data_time: 0.0146 memory: 13431 grad_norm: 2.7678 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6695 loss: 2.6695 2022/08/15 09:39:54 - mmengine - INFO - Epoch(train) [119][600/3757] lr: 5.6121e-02 eta: 2 days, 9:35:30 time: 0.4065 data_time: 0.0147 memory: 13431 grad_norm: 2.8696 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5270 loss: 2.5270 2022/08/15 09:40:24 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 09:40:35 - mmengine - INFO - Epoch(train) [119][700/3757] lr: 5.6121e-02 eta: 2 days, 9:34:50 time: 0.3997 data_time: 0.0147 memory: 13431 grad_norm: 2.7799 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5265 loss: 2.5265 2022/08/15 09:41:15 - mmengine - INFO - Epoch(train) [119][800/3757] lr: 5.6121e-02 eta: 2 days, 9:34:10 time: 0.4017 data_time: 0.0144 memory: 13431 grad_norm: 2.9054 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7153 loss: 2.7153 2022/08/15 09:41:56 - mmengine - INFO - Epoch(train) [119][900/3757] lr: 5.6121e-02 eta: 2 days, 9:33:31 time: 0.3998 data_time: 0.0140 memory: 13431 grad_norm: 2.8221 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6007 loss: 2.6007 2022/08/15 09:42:36 - mmengine - INFO - Epoch(train) [119][1000/3757] lr: 5.6121e-02 eta: 2 days, 9:32:51 time: 0.4003 data_time: 0.0144 memory: 13431 grad_norm: 2.8822 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6151 loss: 2.6151 2022/08/15 09:43:17 - mmengine - INFO - Epoch(train) [119][1100/3757] lr: 5.6121e-02 eta: 2 days, 9:32:11 time: 0.3998 data_time: 0.0157 memory: 13431 grad_norm: 2.8366 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6162 loss: 2.6162 2022/08/15 09:43:57 - mmengine - INFO - Epoch(train) [119][1200/3757] lr: 5.6121e-02 eta: 2 days, 9:31:31 time: 0.4005 data_time: 0.0152 memory: 13431 grad_norm: 2.7737 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.6581 loss: 2.6581 2022/08/15 09:44:38 - mmengine - INFO - Epoch(train) [119][1300/3757] lr: 5.6121e-02 eta: 2 days, 9:30:52 time: 0.4070 data_time: 0.0148 memory: 13431 grad_norm: 2.8471 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5641 loss: 2.5641 2022/08/15 09:45:18 - mmengine - INFO - Epoch(train) [119][1400/3757] lr: 5.6121e-02 eta: 2 days, 9:30:12 time: 0.4002 data_time: 0.0151 memory: 13431 grad_norm: 2.7466 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5180 loss: 2.5180 2022/08/15 09:45:59 - mmengine - INFO - Epoch(train) [119][1500/3757] lr: 5.6121e-02 eta: 2 days, 9:29:33 time: 0.4017 data_time: 0.0139 memory: 13431 grad_norm: 2.7670 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3229 loss: 2.3229 2022/08/15 09:46:39 - mmengine - INFO - Epoch(train) [119][1600/3757] lr: 5.6121e-02 eta: 2 days, 9:28:53 time: 0.3997 data_time: 0.0154 memory: 13431 grad_norm: 2.8659 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4059 loss: 2.4059 2022/08/15 09:47:09 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 09:47:20 - mmengine - INFO - Epoch(train) [119][1700/3757] lr: 5.6121e-02 eta: 2 days, 9:28:13 time: 0.3998 data_time: 0.0143 memory: 13431 grad_norm: 2.8304 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4012 loss: 2.4012 2022/08/15 09:48:00 - mmengine - INFO - Epoch(train) [119][1800/3757] lr: 5.6121e-02 eta: 2 days, 9:27:33 time: 0.4019 data_time: 0.0155 memory: 13431 grad_norm: 2.8024 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5489 loss: 2.5489 2022/08/15 09:48:40 - mmengine - INFO - Epoch(train) [119][1900/3757] lr: 5.6121e-02 eta: 2 days, 9:26:54 time: 0.4042 data_time: 0.0153 memory: 13431 grad_norm: 2.8581 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6500 loss: 2.6500 2022/08/15 09:49:21 - mmengine - INFO - Epoch(train) [119][2000/3757] lr: 5.6121e-02 eta: 2 days, 9:26:14 time: 0.4078 data_time: 0.0140 memory: 13431 grad_norm: 2.8815 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0394 loss: 3.0394 2022/08/15 09:50:01 - mmengine - INFO - Epoch(train) [119][2100/3757] lr: 5.6121e-02 eta: 2 days, 9:25:34 time: 0.4053 data_time: 0.0154 memory: 13431 grad_norm: 2.8480 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5036 loss: 2.5036 2022/08/15 09:50:42 - mmengine - INFO - Epoch(train) [119][2200/3757] lr: 5.6121e-02 eta: 2 days, 9:24:55 time: 0.4029 data_time: 0.0143 memory: 13431 grad_norm: 2.7999 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4857 loss: 2.4857 2022/08/15 09:51:23 - mmengine - INFO - Epoch(train) [119][2300/3757] lr: 5.6121e-02 eta: 2 days, 9:24:15 time: 0.4025 data_time: 0.0146 memory: 13431 grad_norm: 2.9028 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.5652 loss: 2.5652 2022/08/15 09:52:03 - mmengine - INFO - Epoch(train) [119][2400/3757] lr: 5.6121e-02 eta: 2 days, 9:23:36 time: 0.4012 data_time: 0.0158 memory: 13431 grad_norm: 2.9606 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3817 loss: 2.3817 2022/08/15 09:52:43 - mmengine - INFO - Epoch(train) [119][2500/3757] lr: 5.6121e-02 eta: 2 days, 9:22:56 time: 0.4010 data_time: 0.0143 memory: 13431 grad_norm: 2.8764 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5216 loss: 2.5216 2022/08/15 09:53:24 - mmengine - INFO - Epoch(train) [119][2600/3757] lr: 5.6121e-02 eta: 2 days, 9:22:17 time: 0.4000 data_time: 0.0135 memory: 13431 grad_norm: 2.8894 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4430 loss: 2.4430 2022/08/15 09:53:54 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 09:54:05 - mmengine - INFO - Epoch(train) [119][2700/3757] lr: 5.6121e-02 eta: 2 days, 9:21:37 time: 0.4100 data_time: 0.0147 memory: 13431 grad_norm: 2.8991 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7002 loss: 2.7002 2022/08/15 09:54:45 - mmengine - INFO - Epoch(train) [119][2800/3757] lr: 5.6121e-02 eta: 2 days, 9:20:58 time: 0.3996 data_time: 0.0150 memory: 13431 grad_norm: 2.8930 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5115 loss: 2.5115 2022/08/15 09:55:26 - mmengine - INFO - Epoch(train) [119][2900/3757] lr: 5.6121e-02 eta: 2 days, 9:20:18 time: 0.3995 data_time: 0.0142 memory: 13431 grad_norm: 2.8357 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5063 loss: 2.5063 2022/08/15 09:56:06 - mmengine - INFO - Epoch(train) [119][3000/3757] lr: 5.6121e-02 eta: 2 days, 9:19:38 time: 0.4015 data_time: 0.0140 memory: 13431 grad_norm: 2.8506 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.7852 loss: 2.7852 2022/08/15 09:56:47 - mmengine - INFO - Epoch(train) [119][3100/3757] lr: 5.6121e-02 eta: 2 days, 9:18:58 time: 0.4040 data_time: 0.0181 memory: 13431 grad_norm: 2.8309 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6258 loss: 2.6258 2022/08/15 09:57:27 - mmengine - INFO - Epoch(train) [119][3200/3757] lr: 5.6121e-02 eta: 2 days, 9:18:19 time: 0.4032 data_time: 0.0150 memory: 13431 grad_norm: 2.9211 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7664 loss: 2.7664 2022/08/15 09:58:08 - mmengine - INFO - Epoch(train) [119][3300/3757] lr: 5.6121e-02 eta: 2 days, 9:17:39 time: 0.4010 data_time: 0.0157 memory: 13431 grad_norm: 2.8567 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6488 loss: 2.6488 2022/08/15 09:58:49 - mmengine - INFO - Epoch(train) [119][3400/3757] lr: 5.6121e-02 eta: 2 days, 9:17:00 time: 0.4055 data_time: 0.0146 memory: 13431 grad_norm: 2.9275 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6834 loss: 2.6834 2022/08/15 09:59:29 - mmengine - INFO - Epoch(train) [119][3500/3757] lr: 5.6121e-02 eta: 2 days, 9:16:20 time: 0.4021 data_time: 0.0146 memory: 13431 grad_norm: 2.8262 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7785 loss: 2.7785 2022/08/15 10:00:09 - mmengine - INFO - Epoch(train) [119][3600/3757] lr: 5.6121e-02 eta: 2 days, 9:15:40 time: 0.4031 data_time: 0.0152 memory: 13431 grad_norm: 2.8640 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6041 loss: 2.6041 2022/08/15 10:00:39 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 10:00:50 - mmengine - INFO - Epoch(train) [119][3700/3757] lr: 5.6121e-02 eta: 2 days, 9:15:01 time: 0.4018 data_time: 0.0150 memory: 13431 grad_norm: 2.8932 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6230 loss: 2.6230 2022/08/15 10:01:13 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 10:01:13 - mmengine - INFO - Epoch(train) [119][3757/3757] lr: 5.6121e-02 eta: 2 days, 9:14:45 time: 0.3903 data_time: 0.0161 memory: 13431 grad_norm: 2.8351 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 2.8252 loss: 2.8252 2022/08/15 10:01:55 - mmengine - INFO - Epoch(train) [120][100/3757] lr: 5.5511e-02 eta: 2 days, 9:13:53 time: 0.4020 data_time: 0.0164 memory: 13431 grad_norm: 2.8372 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6294 loss: 2.6294 2022/08/15 10:02:36 - mmengine - INFO - Epoch(train) [120][200/3757] lr: 5.5511e-02 eta: 2 days, 9:13:13 time: 0.4008 data_time: 0.0146 memory: 13431 grad_norm: 2.8186 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1177 loss: 2.1177 2022/08/15 10:03:16 - mmengine - INFO - Epoch(train) [120][300/3757] lr: 5.5511e-02 eta: 2 days, 9:12:34 time: 0.4016 data_time: 0.0147 memory: 13431 grad_norm: 2.7854 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9673 loss: 2.9673 2022/08/15 10:03:57 - mmengine - INFO - Epoch(train) [120][400/3757] lr: 5.5511e-02 eta: 2 days, 9:11:54 time: 0.4030 data_time: 0.0157 memory: 13431 grad_norm: 2.8528 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7823 loss: 2.7823 2022/08/15 10:04:37 - mmengine - INFO - Epoch(train) [120][500/3757] lr: 5.5511e-02 eta: 2 days, 9:11:14 time: 0.3995 data_time: 0.0146 memory: 13431 grad_norm: 2.8733 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7789 loss: 2.7789 2022/08/15 10:05:18 - mmengine - INFO - Epoch(train) [120][600/3757] lr: 5.5511e-02 eta: 2 days, 9:10:35 time: 0.4042 data_time: 0.0142 memory: 13431 grad_norm: 2.7987 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6569 loss: 2.6569 2022/08/15 10:05:58 - mmengine - INFO - Epoch(train) [120][700/3757] lr: 5.5511e-02 eta: 2 days, 9:09:55 time: 0.4034 data_time: 0.0162 memory: 13431 grad_norm: 2.9005 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6122 loss: 2.6122 2022/08/15 10:06:39 - mmengine - INFO - Epoch(train) [120][800/3757] lr: 5.5511e-02 eta: 2 days, 9:09:15 time: 0.4050 data_time: 0.0149 memory: 13431 grad_norm: 2.8644 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6466 loss: 2.6466 2022/08/15 10:07:19 - mmengine - INFO - Epoch(train) [120][900/3757] lr: 5.5511e-02 eta: 2 days, 9:08:36 time: 0.4038 data_time: 0.0155 memory: 13431 grad_norm: 2.9342 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7467 loss: 2.7467 2022/08/15 10:07:26 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 10:08:00 - mmengine - INFO - Epoch(train) [120][1000/3757] lr: 5.5511e-02 eta: 2 days, 9:07:56 time: 0.4033 data_time: 0.0153 memory: 13431 grad_norm: 2.8384 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4636 loss: 2.4636 2022/08/15 10:08:40 - mmengine - INFO - Epoch(train) [120][1100/3757] lr: 5.5511e-02 eta: 2 days, 9:07:16 time: 0.4032 data_time: 0.0159 memory: 13431 grad_norm: 2.8261 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8621 loss: 2.8621 2022/08/15 10:09:21 - mmengine - INFO - Epoch(train) [120][1200/3757] lr: 5.5511e-02 eta: 2 days, 9:06:37 time: 0.3992 data_time: 0.0143 memory: 13431 grad_norm: 2.7892 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6690 loss: 2.6690 2022/08/15 10:10:01 - mmengine - INFO - Epoch(train) [120][1300/3757] lr: 5.5511e-02 eta: 2 days, 9:05:57 time: 0.4075 data_time: 0.0154 memory: 13431 grad_norm: 2.9214 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3956 loss: 2.3956 2022/08/15 10:10:42 - mmengine - INFO - Epoch(train) [120][1400/3757] lr: 5.5511e-02 eta: 2 days, 9:05:17 time: 0.4057 data_time: 0.0161 memory: 13431 grad_norm: 2.7453 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5070 loss: 2.5070 2022/08/15 10:11:22 - mmengine - INFO - Epoch(train) [120][1500/3757] lr: 5.5511e-02 eta: 2 days, 9:04:37 time: 0.4032 data_time: 0.0159 memory: 13431 grad_norm: 2.9269 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6830 loss: 2.6830 2022/08/15 10:12:02 - mmengine - INFO - Epoch(train) [120][1600/3757] lr: 5.5511e-02 eta: 2 days, 9:03:58 time: 0.4052 data_time: 0.0149 memory: 13431 grad_norm: 2.9114 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8789 loss: 2.8789 2022/08/15 10:12:43 - mmengine - INFO - Epoch(train) [120][1700/3757] lr: 5.5511e-02 eta: 2 days, 9:03:18 time: 0.4026 data_time: 0.0149 memory: 13431 grad_norm: 2.7944 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4070 loss: 2.4070 2022/08/15 10:13:23 - mmengine - INFO - Epoch(train) [120][1800/3757] lr: 5.5511e-02 eta: 2 days, 9:02:38 time: 0.4026 data_time: 0.0147 memory: 13431 grad_norm: 2.8209 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5008 loss: 2.5008 2022/08/15 10:14:04 - mmengine - INFO - Epoch(train) [120][1900/3757] lr: 5.5511e-02 eta: 2 days, 9:01:59 time: 0.4083 data_time: 0.0156 memory: 13431 grad_norm: 2.8872 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5324 loss: 2.5324 2022/08/15 10:14:11 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 10:14:45 - mmengine - INFO - Epoch(train) [120][2000/3757] lr: 5.5511e-02 eta: 2 days, 9:01:20 time: 0.4094 data_time: 0.0160 memory: 13431 grad_norm: 2.9475 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.7096 loss: 2.7096 2022/08/15 10:15:25 - mmengine - INFO - Epoch(train) [120][2100/3757] lr: 5.5511e-02 eta: 2 days, 9:00:40 time: 0.4028 data_time: 0.0148 memory: 13431 grad_norm: 2.9253 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7618 loss: 2.7618 2022/08/15 10:16:05 - mmengine - INFO - Epoch(train) [120][2200/3757] lr: 5.5511e-02 eta: 2 days, 9:00:00 time: 0.4036 data_time: 0.0165 memory: 13431 grad_norm: 2.9400 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6594 loss: 2.6594 2022/08/15 10:16:46 - mmengine - INFO - Epoch(train) [120][2300/3757] lr: 5.5511e-02 eta: 2 days, 8:59:20 time: 0.4036 data_time: 0.0151 memory: 13431 grad_norm: 2.8195 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6718 loss: 2.6718 2022/08/15 10:17:26 - mmengine - INFO - Epoch(train) [120][2400/3757] lr: 5.5511e-02 eta: 2 days, 8:58:41 time: 0.4009 data_time: 0.0144 memory: 13431 grad_norm: 2.7699 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8220 loss: 2.8220 2022/08/15 10:18:07 - mmengine - INFO - Epoch(train) [120][2500/3757] lr: 5.5511e-02 eta: 2 days, 8:58:01 time: 0.4011 data_time: 0.0158 memory: 13431 grad_norm: 2.9461 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5459 loss: 2.5459 2022/08/15 10:18:47 - mmengine - INFO - Epoch(train) [120][2600/3757] lr: 5.5511e-02 eta: 2 days, 8:57:21 time: 0.4057 data_time: 0.0153 memory: 13431 grad_norm: 2.8047 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 2.5312 loss: 2.5312 2022/08/15 10:19:28 - mmengine - INFO - Epoch(train) [120][2700/3757] lr: 5.5511e-02 eta: 2 days, 8:56:42 time: 0.4064 data_time: 0.0146 memory: 13431 grad_norm: 2.9173 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5407 loss: 2.5407 2022/08/15 10:20:08 - mmengine - INFO - Epoch(train) [120][2800/3757] lr: 5.5511e-02 eta: 2 days, 8:56:02 time: 0.4005 data_time: 0.0149 memory: 13431 grad_norm: 2.9647 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6675 loss: 2.6675 2022/08/15 10:20:49 - mmengine - INFO - Epoch(train) [120][2900/3757] lr: 5.5511e-02 eta: 2 days, 8:55:22 time: 0.3997 data_time: 0.0144 memory: 13431 grad_norm: 2.9030 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.7988 loss: 2.7988 2022/08/15 10:20:56 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 10:21:29 - mmengine - INFO - Epoch(train) [120][3000/3757] lr: 5.5511e-02 eta: 2 days, 8:54:42 time: 0.4015 data_time: 0.0145 memory: 13431 grad_norm: 2.7822 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6810 loss: 2.6810 2022/08/15 10:22:10 - mmengine - INFO - Epoch(train) [120][3100/3757] lr: 5.5511e-02 eta: 2 days, 8:54:03 time: 0.4036 data_time: 0.0162 memory: 13431 grad_norm: 2.8327 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6076 loss: 2.6076 2022/08/15 10:22:50 - mmengine - INFO - Epoch(train) [120][3200/3757] lr: 5.5511e-02 eta: 2 days, 8:53:23 time: 0.4015 data_time: 0.0156 memory: 13431 grad_norm: 2.8917 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9455 loss: 2.9455 2022/08/15 10:23:31 - mmengine - INFO - Epoch(train) [120][3300/3757] lr: 5.5511e-02 eta: 2 days, 8:52:44 time: 0.4082 data_time: 0.0145 memory: 13431 grad_norm: 2.8547 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7340 loss: 2.7340 2022/08/15 10:24:11 - mmengine - INFO - Epoch(train) [120][3400/3757] lr: 5.5511e-02 eta: 2 days, 8:52:04 time: 0.4055 data_time: 0.0149 memory: 13431 grad_norm: 2.7799 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6852 loss: 2.6852 2022/08/15 10:24:52 - mmengine - INFO - Epoch(train) [120][3500/3757] lr: 5.5511e-02 eta: 2 days, 8:51:24 time: 0.4060 data_time: 0.0148 memory: 13431 grad_norm: 2.8771 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9696 loss: 2.9696 2022/08/15 10:25:32 - mmengine - INFO - Epoch(train) [120][3600/3757] lr: 5.5511e-02 eta: 2 days, 8:50:45 time: 0.4019 data_time: 0.0140 memory: 13431 grad_norm: 2.9254 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5155 loss: 2.5155 2022/08/15 10:26:13 - mmengine - INFO - Epoch(train) [120][3700/3757] lr: 5.5511e-02 eta: 2 days, 8:50:05 time: 0.4022 data_time: 0.0155 memory: 13431 grad_norm: 2.8990 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6585 loss: 2.6585 2022/08/15 10:26:36 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 10:26:36 - mmengine - INFO - Epoch(train) [120][3757/3757] lr: 5.5511e-02 eta: 2 days, 8:49:49 time: 0.3887 data_time: 0.0143 memory: 13431 grad_norm: 2.8818 top1_acc: 0.1429 top5_acc: 0.7143 loss_cls: 2.7207 loss: 2.7207 2022/08/15 10:26:36 - mmengine - INFO - Saving checkpoint at 120 epochs 2022/08/15 10:27:04 - mmengine - INFO - Epoch(val) [120][100/310] eta: 0:00:44 time: 0.2099 data_time: 0.0806 memory: 1974 2022/08/15 10:27:26 - mmengine - INFO - Epoch(val) [120][200/310] eta: 0:00:22 time: 0.2013 data_time: 0.0747 memory: 1974 2022/08/15 10:27:45 - mmengine - INFO - Epoch(val) [120][300/310] eta: 0:00:01 time: 0.1271 data_time: 0.0191 memory: 1974 2022/08/15 10:27:47 - mmengine - INFO - Epoch(val) [120][310/310] acc/top1: 0.4612 acc/top5: 0.7229 acc/mean1: 0.4611 2022/08/15 10:27:47 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_111.pth is removed 2022/08/15 10:27:51 - mmengine - INFO - The best checkpoint with 0.4612 acc/top1 at 121 epoch is saved to best_acc/top1_epoch_121.pth. 2022/08/15 10:28:32 - mmengine - INFO - Epoch(train) [121][100/3757] lr: 5.4901e-02 eta: 2 days, 8:48:56 time: 0.4022 data_time: 0.0153 memory: 13431 grad_norm: 2.9328 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.7196 loss: 2.7196 2022/08/15 10:28:57 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 10:29:13 - mmengine - INFO - Epoch(train) [121][200/3757] lr: 5.4901e-02 eta: 2 days, 8:48:17 time: 0.4002 data_time: 0.0143 memory: 13431 grad_norm: 2.7646 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6688 loss: 2.6688 2022/08/15 10:29:54 - mmengine - INFO - Epoch(train) [121][300/3757] lr: 5.4901e-02 eta: 2 days, 8:47:37 time: 0.4022 data_time: 0.0169 memory: 13431 grad_norm: 2.8525 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7425 loss: 2.7425 2022/08/15 10:30:34 - mmengine - INFO - Epoch(train) [121][400/3757] lr: 5.4901e-02 eta: 2 days, 8:46:57 time: 0.4017 data_time: 0.0156 memory: 13431 grad_norm: 2.8728 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5399 loss: 2.5399 2022/08/15 10:31:14 - mmengine - INFO - Epoch(train) [121][500/3757] lr: 5.4901e-02 eta: 2 days, 8:46:17 time: 0.4011 data_time: 0.0161 memory: 13431 grad_norm: 2.8856 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.7458 loss: 2.7458 2022/08/15 10:31:55 - mmengine - INFO - Epoch(train) [121][600/3757] lr: 5.4901e-02 eta: 2 days, 8:45:38 time: 0.4006 data_time: 0.0141 memory: 13431 grad_norm: 2.9856 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6328 loss: 2.6328 2022/08/15 10:32:35 - mmengine - INFO - Epoch(train) [121][700/3757] lr: 5.4901e-02 eta: 2 days, 8:44:58 time: 0.4078 data_time: 0.0151 memory: 13431 grad_norm: 2.8181 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8314 loss: 2.8314 2022/08/15 10:33:16 - mmengine - INFO - Epoch(train) [121][800/3757] lr: 5.4901e-02 eta: 2 days, 8:44:18 time: 0.4020 data_time: 0.0153 memory: 13431 grad_norm: 2.9119 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7491 loss: 2.7491 2022/08/15 10:33:56 - mmengine - INFO - Epoch(train) [121][900/3757] lr: 5.4901e-02 eta: 2 days, 8:43:39 time: 0.4042 data_time: 0.0147 memory: 13431 grad_norm: 3.0090 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7467 loss: 2.7467 2022/08/15 10:34:37 - mmengine - INFO - Epoch(train) [121][1000/3757] lr: 5.4901e-02 eta: 2 days, 8:42:59 time: 0.4019 data_time: 0.0161 memory: 13431 grad_norm: 2.9947 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6003 loss: 2.6003 2022/08/15 10:35:17 - mmengine - INFO - Epoch(train) [121][1100/3757] lr: 5.4901e-02 eta: 2 days, 8:42:19 time: 0.4000 data_time: 0.0154 memory: 13431 grad_norm: 2.8916 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5321 loss: 2.5321 2022/08/15 10:35:41 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 10:35:57 - mmengine - INFO - Epoch(train) [121][1200/3757] lr: 5.4901e-02 eta: 2 days, 8:41:40 time: 0.4015 data_time: 0.0140 memory: 13431 grad_norm: 2.8943 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4113 loss: 2.4113 2022/08/15 10:36:38 - mmengine - INFO - Epoch(train) [121][1300/3757] lr: 5.4901e-02 eta: 2 days, 8:41:00 time: 0.3991 data_time: 0.0145 memory: 13431 grad_norm: 2.8854 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7314 loss: 2.7314 2022/08/15 10:37:19 - mmengine - INFO - Epoch(train) [121][1400/3757] lr: 5.4901e-02 eta: 2 days, 8:40:21 time: 0.4103 data_time: 0.0152 memory: 13431 grad_norm: 2.8454 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6549 loss: 2.6549 2022/08/15 10:37:59 - mmengine - INFO - Epoch(train) [121][1500/3757] lr: 5.4901e-02 eta: 2 days, 8:39:41 time: 0.3989 data_time: 0.0148 memory: 13431 grad_norm: 2.8171 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7800 loss: 2.7800 2022/08/15 10:38:40 - mmengine - INFO - Epoch(train) [121][1600/3757] lr: 5.4901e-02 eta: 2 days, 8:39:01 time: 0.4033 data_time: 0.0150 memory: 13431 grad_norm: 2.7444 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4769 loss: 2.4769 2022/08/15 10:39:20 - mmengine - INFO - Epoch(train) [121][1700/3757] lr: 5.4901e-02 eta: 2 days, 8:38:22 time: 0.4009 data_time: 0.0149 memory: 13431 grad_norm: 2.8912 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.4065 loss: 2.4065 2022/08/15 10:40:01 - mmengine - INFO - Epoch(train) [121][1800/3757] lr: 5.4901e-02 eta: 2 days, 8:37:42 time: 0.4017 data_time: 0.0146 memory: 13431 grad_norm: 2.8047 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6899 loss: 2.6899 2022/08/15 10:40:41 - mmengine - INFO - Epoch(train) [121][1900/3757] lr: 5.4901e-02 eta: 2 days, 8:37:02 time: 0.4016 data_time: 0.0146 memory: 13431 grad_norm: 2.8958 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6298 loss: 2.6298 2022/08/15 10:41:22 - mmengine - INFO - Epoch(train) [121][2000/3757] lr: 5.4901e-02 eta: 2 days, 8:36:23 time: 0.4043 data_time: 0.0144 memory: 13431 grad_norm: 2.8997 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.7921 loss: 2.7921 2022/08/15 10:42:02 - mmengine - INFO - Epoch(train) [121][2100/3757] lr: 5.4901e-02 eta: 2 days, 8:35:43 time: 0.4066 data_time: 0.0149 memory: 13431 grad_norm: 2.9536 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4244 loss: 2.4244 2022/08/15 10:42:27 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 10:42:43 - mmengine - INFO - Epoch(train) [121][2200/3757] lr: 5.4901e-02 eta: 2 days, 8:35:03 time: 0.4005 data_time: 0.0150 memory: 13431 grad_norm: 2.8011 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8319 loss: 2.8319 2022/08/15 10:43:24 - mmengine - INFO - Epoch(train) [121][2300/3757] lr: 5.4901e-02 eta: 2 days, 8:34:24 time: 0.4148 data_time: 0.0144 memory: 13431 grad_norm: 2.9742 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5297 loss: 2.5297 2022/08/15 10:44:04 - mmengine - INFO - Epoch(train) [121][2400/3757] lr: 5.4901e-02 eta: 2 days, 8:33:44 time: 0.4027 data_time: 0.0150 memory: 13431 grad_norm: 2.8330 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9929 loss: 2.9929 2022/08/15 10:44:44 - mmengine - INFO - Epoch(train) [121][2500/3757] lr: 5.4901e-02 eta: 2 days, 8:33:05 time: 0.4032 data_time: 0.0169 memory: 13431 grad_norm: 2.8090 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.6841 loss: 2.6841 2022/08/15 10:45:25 - mmengine - INFO - Epoch(train) [121][2600/3757] lr: 5.4901e-02 eta: 2 days, 8:32:25 time: 0.4010 data_time: 0.0149 memory: 13431 grad_norm: 2.8064 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6113 loss: 2.6113 2022/08/15 10:46:05 - mmengine - INFO - Epoch(train) [121][2700/3757] lr: 5.4901e-02 eta: 2 days, 8:31:45 time: 0.4025 data_time: 0.0167 memory: 13431 grad_norm: 2.8877 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8167 loss: 2.8167 2022/08/15 10:46:46 - mmengine - INFO - Epoch(train) [121][2800/3757] lr: 5.4901e-02 eta: 2 days, 8:31:06 time: 0.4076 data_time: 0.0149 memory: 13431 grad_norm: 2.9524 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5557 loss: 2.5557 2022/08/15 10:47:26 - mmengine - INFO - Epoch(train) [121][2900/3757] lr: 5.4901e-02 eta: 2 days, 8:30:26 time: 0.4002 data_time: 0.0151 memory: 13431 grad_norm: 2.8644 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7156 loss: 2.7156 2022/08/15 10:48:07 - mmengine - INFO - Epoch(train) [121][3000/3757] lr: 5.4901e-02 eta: 2 days, 8:29:46 time: 0.4087 data_time: 0.0159 memory: 13431 grad_norm: 2.8813 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4264 loss: 2.4264 2022/08/15 10:48:47 - mmengine - INFO - Epoch(train) [121][3100/3757] lr: 5.4901e-02 eta: 2 days, 8:29:07 time: 0.3995 data_time: 0.0146 memory: 13431 grad_norm: 2.9405 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7666 loss: 2.7666 2022/08/15 10:49:12 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 10:49:28 - mmengine - INFO - Epoch(train) [121][3200/3757] lr: 5.4901e-02 eta: 2 days, 8:28:27 time: 0.4023 data_time: 0.0153 memory: 13431 grad_norm: 2.8293 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4919 loss: 2.4919 2022/08/15 10:50:08 - mmengine - INFO - Epoch(train) [121][3300/3757] lr: 5.4901e-02 eta: 2 days, 8:27:47 time: 0.4003 data_time: 0.0151 memory: 13431 grad_norm: 2.8986 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.8817 loss: 2.8817 2022/08/15 10:50:49 - mmengine - INFO - Epoch(train) [121][3400/3757] lr: 5.4901e-02 eta: 2 days, 8:27:07 time: 0.4018 data_time: 0.0142 memory: 13431 grad_norm: 2.8795 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5255 loss: 2.5255 2022/08/15 10:51:29 - mmengine - INFO - Epoch(train) [121][3500/3757] lr: 5.4901e-02 eta: 2 days, 8:26:28 time: 0.4091 data_time: 0.0174 memory: 13431 grad_norm: 2.7505 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8111 loss: 2.8111 2022/08/15 10:52:10 - mmengine - INFO - Epoch(train) [121][3600/3757] lr: 5.4901e-02 eta: 2 days, 8:25:48 time: 0.4026 data_time: 0.0159 memory: 13431 grad_norm: 2.8899 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6329 loss: 2.6329 2022/08/15 10:52:50 - mmengine - INFO - Epoch(train) [121][3700/3757] lr: 5.4901e-02 eta: 2 days, 8:25:08 time: 0.4003 data_time: 0.0140 memory: 13431 grad_norm: 2.9385 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7797 loss: 2.7797 2022/08/15 10:53:13 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 10:53:13 - mmengine - INFO - Epoch(train) [121][3757/3757] lr: 5.4901e-02 eta: 2 days, 8:24:53 time: 0.3888 data_time: 0.0142 memory: 13431 grad_norm: 2.8567 top1_acc: 0.0000 top5_acc: 0.5714 loss_cls: 2.7273 loss: 2.7273 2022/08/15 10:53:56 - mmengine - INFO - Epoch(train) [122][100/3757] lr: 5.4290e-02 eta: 2 days, 8:24:01 time: 0.4002 data_time: 0.0163 memory: 13431 grad_norm: 2.8665 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5549 loss: 2.5549 2022/08/15 10:54:37 - mmengine - INFO - Epoch(train) [122][200/3757] lr: 5.4290e-02 eta: 2 days, 8:23:22 time: 0.4028 data_time: 0.0151 memory: 13431 grad_norm: 2.8172 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7674 loss: 2.7674 2022/08/15 10:55:17 - mmengine - INFO - Epoch(train) [122][300/3757] lr: 5.4290e-02 eta: 2 days, 8:22:42 time: 0.4036 data_time: 0.0161 memory: 13431 grad_norm: 2.8481 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.0964 loss: 3.0964 2022/08/15 10:55:58 - mmengine - INFO - Epoch(train) [122][400/3757] lr: 5.4290e-02 eta: 2 days, 8:22:02 time: 0.4123 data_time: 0.0149 memory: 13431 grad_norm: 2.8550 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7237 loss: 2.7237 2022/08/15 10:55:59 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 10:56:38 - mmengine - INFO - Epoch(train) [122][500/3757] lr: 5.4290e-02 eta: 2 days, 8:21:23 time: 0.4025 data_time: 0.0145 memory: 13431 grad_norm: 2.8013 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6469 loss: 2.6469 2022/08/15 10:57:19 - mmengine - INFO - Epoch(train) [122][600/3757] lr: 5.4290e-02 eta: 2 days, 8:20:43 time: 0.4005 data_time: 0.0142 memory: 13431 grad_norm: 2.8812 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6937 loss: 2.6937 2022/08/15 10:57:59 - mmengine - INFO - Epoch(train) [122][700/3757] lr: 5.4290e-02 eta: 2 days, 8:20:04 time: 0.4066 data_time: 0.0173 memory: 13431 grad_norm: 2.8820 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.5390 loss: 2.5390 2022/08/15 10:58:40 - mmengine - INFO - Epoch(train) [122][800/3757] lr: 5.4290e-02 eta: 2 days, 8:19:24 time: 0.4028 data_time: 0.0173 memory: 13431 grad_norm: 2.9241 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5502 loss: 2.5502 2022/08/15 10:59:20 - mmengine - INFO - Epoch(train) [122][900/3757] lr: 5.4290e-02 eta: 2 days, 8:18:44 time: 0.4056 data_time: 0.0158 memory: 13431 grad_norm: 2.7971 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2981 loss: 2.2981 2022/08/15 11:00:01 - mmengine - INFO - Epoch(train) [122][1000/3757] lr: 5.4290e-02 eta: 2 days, 8:18:04 time: 0.4031 data_time: 0.0148 memory: 13431 grad_norm: 2.9100 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5320 loss: 2.5320 2022/08/15 11:00:41 - mmengine - INFO - Epoch(train) [122][1100/3757] lr: 5.4290e-02 eta: 2 days, 8:17:25 time: 0.4078 data_time: 0.0146 memory: 13431 grad_norm: 2.8051 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4563 loss: 2.4563 2022/08/15 11:01:22 - mmengine - INFO - Epoch(train) [122][1200/3757] lr: 5.4290e-02 eta: 2 days, 8:16:45 time: 0.3995 data_time: 0.0144 memory: 13431 grad_norm: 2.8660 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4418 loss: 2.4418 2022/08/15 11:02:02 - mmengine - INFO - Epoch(train) [122][1300/3757] lr: 5.4290e-02 eta: 2 days, 8:16:05 time: 0.4085 data_time: 0.0153 memory: 13431 grad_norm: 2.8850 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5918 loss: 2.5918 2022/08/15 11:02:43 - mmengine - INFO - Epoch(train) [122][1400/3757] lr: 5.4290e-02 eta: 2 days, 8:15:26 time: 0.4061 data_time: 0.0171 memory: 13431 grad_norm: 2.8153 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5317 loss: 2.5317 2022/08/15 11:02:44 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 11:03:23 - mmengine - INFO - Epoch(train) [122][1500/3757] lr: 5.4290e-02 eta: 2 days, 8:14:46 time: 0.4044 data_time: 0.0154 memory: 13431 grad_norm: 2.8912 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7503 loss: 2.7503 2022/08/15 11:04:04 - mmengine - INFO - Epoch(train) [122][1600/3757] lr: 5.4290e-02 eta: 2 days, 8:14:06 time: 0.4042 data_time: 0.0171 memory: 13431 grad_norm: 2.7744 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3476 loss: 2.3476 2022/08/15 11:04:44 - mmengine - INFO - Epoch(train) [122][1700/3757] lr: 5.4290e-02 eta: 2 days, 8:13:27 time: 0.4037 data_time: 0.0156 memory: 13431 grad_norm: 2.8498 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5429 loss: 2.5429 2022/08/15 11:05:25 - mmengine - INFO - Epoch(train) [122][1800/3757] lr: 5.4290e-02 eta: 2 days, 8:12:47 time: 0.4068 data_time: 0.0144 memory: 13431 grad_norm: 2.8850 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3843 loss: 2.3843 2022/08/15 11:06:05 - mmengine - INFO - Epoch(train) [122][1900/3757] lr: 5.4290e-02 eta: 2 days, 8:12:07 time: 0.4032 data_time: 0.0149 memory: 13431 grad_norm: 2.9545 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8016 loss: 2.8016 2022/08/15 11:06:46 - mmengine - INFO - Epoch(train) [122][2000/3757] lr: 5.4290e-02 eta: 2 days, 8:11:28 time: 0.4099 data_time: 0.0146 memory: 13431 grad_norm: 2.9227 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7292 loss: 2.7292 2022/08/15 11:07:26 - mmengine - INFO - Epoch(train) [122][2100/3757] lr: 5.4290e-02 eta: 2 days, 8:10:48 time: 0.4091 data_time: 0.0154 memory: 13431 grad_norm: 2.8906 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.6384 loss: 2.6384 2022/08/15 11:08:07 - mmengine - INFO - Epoch(train) [122][2200/3757] lr: 5.4290e-02 eta: 2 days, 8:10:09 time: 0.4094 data_time: 0.0153 memory: 13431 grad_norm: 2.9375 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6330 loss: 2.6330 2022/08/15 11:08:47 - mmengine - INFO - Epoch(train) [122][2300/3757] lr: 5.4290e-02 eta: 2 days, 8:09:29 time: 0.4001 data_time: 0.0147 memory: 13431 grad_norm: 2.8127 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5910 loss: 2.5910 2022/08/15 11:09:28 - mmengine - INFO - Epoch(train) [122][2400/3757] lr: 5.4290e-02 eta: 2 days, 8:08:49 time: 0.4012 data_time: 0.0159 memory: 13431 grad_norm: 2.8274 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3809 loss: 2.3809 2022/08/15 11:09:29 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 11:10:08 - mmengine - INFO - Epoch(train) [122][2500/3757] lr: 5.4290e-02 eta: 2 days, 8:08:09 time: 0.4016 data_time: 0.0160 memory: 13431 grad_norm: 2.9236 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8637 loss: 2.8637 2022/08/15 11:10:49 - mmengine - INFO - Epoch(train) [122][2600/3757] lr: 5.4290e-02 eta: 2 days, 8:07:30 time: 0.4002 data_time: 0.0146 memory: 13431 grad_norm: 2.8388 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9151 loss: 2.9151 2022/08/15 11:11:30 - mmengine - INFO - Epoch(train) [122][2700/3757] lr: 5.4290e-02 eta: 2 days, 8:06:50 time: 0.4120 data_time: 0.0150 memory: 13431 grad_norm: 2.9351 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3328 loss: 2.3328 2022/08/15 11:12:10 - mmengine - INFO - Epoch(train) [122][2800/3757] lr: 5.4290e-02 eta: 2 days, 8:06:11 time: 0.4078 data_time: 0.0149 memory: 13431 grad_norm: 2.8560 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6151 loss: 2.6151 2022/08/15 11:12:51 - mmengine - INFO - Epoch(train) [122][2900/3757] lr: 5.4290e-02 eta: 2 days, 8:05:31 time: 0.4017 data_time: 0.0137 memory: 13431 grad_norm: 2.9702 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4262 loss: 2.4262 2022/08/15 11:13:31 - mmengine - INFO - Epoch(train) [122][3000/3757] lr: 5.4290e-02 eta: 2 days, 8:04:51 time: 0.4028 data_time: 0.0150 memory: 13431 grad_norm: 2.9076 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7030 loss: 2.7030 2022/08/15 11:14:12 - mmengine - INFO - Epoch(train) [122][3100/3757] lr: 5.4290e-02 eta: 2 days, 8:04:12 time: 0.4065 data_time: 0.0147 memory: 13431 grad_norm: 2.9426 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5419 loss: 2.5419 2022/08/15 11:14:52 - mmengine - INFO - Epoch(train) [122][3200/3757] lr: 5.4290e-02 eta: 2 days, 8:03:32 time: 0.4083 data_time: 0.0170 memory: 13431 grad_norm: 2.8378 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5517 loss: 2.5517 2022/08/15 11:15:33 - mmengine - INFO - Epoch(train) [122][3300/3757] lr: 5.4290e-02 eta: 2 days, 8:02:53 time: 0.4022 data_time: 0.0159 memory: 13431 grad_norm: 2.9887 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8913 loss: 2.8913 2022/08/15 11:16:14 - mmengine - INFO - Epoch(train) [122][3400/3757] lr: 5.4290e-02 eta: 2 days, 8:02:13 time: 0.4073 data_time: 0.0150 memory: 13431 grad_norm: 2.8313 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6087 loss: 2.6087 2022/08/15 11:16:15 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 11:16:54 - mmengine - INFO - Epoch(train) [122][3500/3757] lr: 5.4290e-02 eta: 2 days, 8:01:34 time: 0.4010 data_time: 0.0150 memory: 13431 grad_norm: 2.8629 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4476 loss: 2.4476 2022/08/15 11:17:35 - mmengine - INFO - Epoch(train) [122][3600/3757] lr: 5.4290e-02 eta: 2 days, 8:00:54 time: 0.4024 data_time: 0.0152 memory: 13431 grad_norm: 2.9001 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8605 loss: 2.8605 2022/08/15 11:18:15 - mmengine - INFO - Epoch(train) [122][3700/3757] lr: 5.4290e-02 eta: 2 days, 8:00:14 time: 0.4031 data_time: 0.0157 memory: 13431 grad_norm: 2.8533 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.5629 loss: 2.5629 2022/08/15 11:18:38 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 11:18:38 - mmengine - INFO - Epoch(train) [122][3757/3757] lr: 5.4290e-02 eta: 2 days, 7:59:58 time: 0.3932 data_time: 0.0147 memory: 13431 grad_norm: 2.8809 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 2.3993 loss: 2.3993 2022/08/15 11:19:21 - mmengine - INFO - Epoch(train) [123][100/3757] lr: 5.3678e-02 eta: 2 days, 7:59:07 time: 0.4051 data_time: 0.0146 memory: 13431 grad_norm: 2.9287 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.7035 loss: 2.7035 2022/08/15 11:20:02 - mmengine - INFO - Epoch(train) [123][200/3757] lr: 5.3678e-02 eta: 2 days, 7:58:27 time: 0.4015 data_time: 0.0151 memory: 13431 grad_norm: 2.8773 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5386 loss: 2.5386 2022/08/15 11:20:42 - mmengine - INFO - Epoch(train) [123][300/3757] lr: 5.3678e-02 eta: 2 days, 7:57:48 time: 0.4032 data_time: 0.0148 memory: 13431 grad_norm: 2.9218 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5507 loss: 2.5507 2022/08/15 11:21:23 - mmengine - INFO - Epoch(train) [123][400/3757] lr: 5.3678e-02 eta: 2 days, 7:57:08 time: 0.4031 data_time: 0.0151 memory: 13431 grad_norm: 2.9319 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5815 loss: 2.5815 2022/08/15 11:22:03 - mmengine - INFO - Epoch(train) [123][500/3757] lr: 5.3678e-02 eta: 2 days, 7:56:29 time: 0.4012 data_time: 0.0155 memory: 13431 grad_norm: 2.8548 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5226 loss: 2.5226 2022/08/15 11:22:44 - mmengine - INFO - Epoch(train) [123][600/3757] lr: 5.3678e-02 eta: 2 days, 7:55:49 time: 0.4002 data_time: 0.0146 memory: 13431 grad_norm: 2.9009 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.5832 loss: 2.5832 2022/08/15 11:23:02 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 11:23:24 - mmengine - INFO - Epoch(train) [123][700/3757] lr: 5.3678e-02 eta: 2 days, 7:55:09 time: 0.4076 data_time: 0.0151 memory: 13431 grad_norm: 2.9451 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7121 loss: 2.7121 2022/08/15 11:24:05 - mmengine - INFO - Epoch(train) [123][800/3757] lr: 5.3678e-02 eta: 2 days, 7:54:30 time: 0.4013 data_time: 0.0139 memory: 13431 grad_norm: 2.9466 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8616 loss: 2.8616 2022/08/15 11:24:45 - mmengine - INFO - Epoch(train) [123][900/3757] lr: 5.3678e-02 eta: 2 days, 7:53:50 time: 0.4023 data_time: 0.0158 memory: 13431 grad_norm: 2.8268 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8161 loss: 2.8161 2022/08/15 11:25:26 - mmengine - INFO - Epoch(train) [123][1000/3757] lr: 5.3678e-02 eta: 2 days, 7:53:10 time: 0.4026 data_time: 0.0168 memory: 13431 grad_norm: 3.0078 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7828 loss: 2.7828 2022/08/15 11:26:07 - mmengine - INFO - Epoch(train) [123][1100/3757] lr: 5.3678e-02 eta: 2 days, 7:52:31 time: 0.4115 data_time: 0.0147 memory: 13431 grad_norm: 2.8863 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6183 loss: 2.6183 2022/08/15 11:26:47 - mmengine - INFO - Epoch(train) [123][1200/3757] lr: 5.3678e-02 eta: 2 days, 7:51:51 time: 0.4004 data_time: 0.0144 memory: 13431 grad_norm: 2.9112 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5153 loss: 2.5153 2022/08/15 11:27:27 - mmengine - INFO - Epoch(train) [123][1300/3757] lr: 5.3678e-02 eta: 2 days, 7:51:11 time: 0.4011 data_time: 0.0155 memory: 13431 grad_norm: 2.8968 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8846 loss: 2.8846 2022/08/15 11:28:08 - mmengine - INFO - Epoch(train) [123][1400/3757] lr: 5.3678e-02 eta: 2 days, 7:50:32 time: 0.4081 data_time: 0.0156 memory: 13431 grad_norm: 2.8450 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8217 loss: 2.8217 2022/08/15 11:28:49 - mmengine - INFO - Epoch(train) [123][1500/3757] lr: 5.3678e-02 eta: 2 days, 7:49:52 time: 0.4024 data_time: 0.0154 memory: 13431 grad_norm: 2.9023 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3964 loss: 2.3964 2022/08/15 11:29:29 - mmengine - INFO - Epoch(train) [123][1600/3757] lr: 5.3678e-02 eta: 2 days, 7:49:13 time: 0.3998 data_time: 0.0150 memory: 13431 grad_norm: 2.9497 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7172 loss: 2.7172 2022/08/15 11:29:48 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 11:30:10 - mmengine - INFO - Epoch(train) [123][1700/3757] lr: 5.3678e-02 eta: 2 days, 7:48:33 time: 0.4009 data_time: 0.0145 memory: 13431 grad_norm: 2.7955 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5424 loss: 2.5424 2022/08/15 11:30:51 - mmengine - INFO - Epoch(train) [123][1800/3757] lr: 5.3678e-02 eta: 2 days, 7:47:54 time: 0.4079 data_time: 0.0145 memory: 13431 grad_norm: 2.9430 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6642 loss: 2.6642 2022/08/15 11:31:31 - mmengine - INFO - Epoch(train) [123][1900/3757] lr: 5.3678e-02 eta: 2 days, 7:47:14 time: 0.4004 data_time: 0.0164 memory: 13431 grad_norm: 2.8899 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6916 loss: 2.6916 2022/08/15 11:32:12 - mmengine - INFO - Epoch(train) [123][2000/3757] lr: 5.3678e-02 eta: 2 days, 7:46:34 time: 0.4019 data_time: 0.0151 memory: 13431 grad_norm: 2.9627 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5455 loss: 2.5455 2022/08/15 11:32:52 - mmengine - INFO - Epoch(train) [123][2100/3757] lr: 5.3678e-02 eta: 2 days, 7:45:55 time: 0.4050 data_time: 0.0148 memory: 13431 grad_norm: 2.8204 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6680 loss: 2.6680 2022/08/15 11:33:33 - mmengine - INFO - Epoch(train) [123][2200/3757] lr: 5.3678e-02 eta: 2 days, 7:45:15 time: 0.4045 data_time: 0.0156 memory: 13431 grad_norm: 2.8873 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6720 loss: 2.6720 2022/08/15 11:34:13 - mmengine - INFO - Epoch(train) [123][2300/3757] lr: 5.3678e-02 eta: 2 days, 7:44:36 time: 0.4037 data_time: 0.0150 memory: 13431 grad_norm: 2.9983 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8227 loss: 2.8227 2022/08/15 11:34:54 - mmengine - INFO - Epoch(train) [123][2400/3757] lr: 5.3678e-02 eta: 2 days, 7:43:56 time: 0.4007 data_time: 0.0143 memory: 13431 grad_norm: 2.9132 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.7837 loss: 2.7837 2022/08/15 11:35:35 - mmengine - INFO - Epoch(train) [123][2500/3757] lr: 5.3678e-02 eta: 2 days, 7:43:17 time: 0.4095 data_time: 0.0154 memory: 13431 grad_norm: 2.9785 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.7449 loss: 2.7449 2022/08/15 11:36:15 - mmengine - INFO - Epoch(train) [123][2600/3757] lr: 5.3678e-02 eta: 2 days, 7:42:37 time: 0.4016 data_time: 0.0159 memory: 13431 grad_norm: 2.8434 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7437 loss: 2.7437 2022/08/15 11:36:34 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 11:36:55 - mmengine - INFO - Epoch(train) [123][2700/3757] lr: 5.3678e-02 eta: 2 days, 7:41:57 time: 0.4027 data_time: 0.0144 memory: 13431 grad_norm: 2.8902 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7804 loss: 2.7804 2022/08/15 11:37:36 - mmengine - INFO - Epoch(train) [123][2800/3757] lr: 5.3678e-02 eta: 2 days, 7:41:17 time: 0.4035 data_time: 0.0142 memory: 13431 grad_norm: 2.8499 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7933 loss: 2.7933 2022/08/15 11:38:16 - mmengine - INFO - Epoch(train) [123][2900/3757] lr: 5.3678e-02 eta: 2 days, 7:40:37 time: 0.4032 data_time: 0.0148 memory: 13431 grad_norm: 2.9634 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7653 loss: 2.7653 2022/08/15 11:38:57 - mmengine - INFO - Epoch(train) [123][3000/3757] lr: 5.3678e-02 eta: 2 days, 7:39:58 time: 0.4024 data_time: 0.0142 memory: 13431 grad_norm: 2.8702 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5262 loss: 2.5262 2022/08/15 11:39:37 - mmengine - INFO - Epoch(train) [123][3100/3757] lr: 5.3678e-02 eta: 2 days, 7:39:18 time: 0.4015 data_time: 0.0146 memory: 13431 grad_norm: 2.8488 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8939 loss: 2.8939 2022/08/15 11:40:18 - mmengine - INFO - Epoch(train) [123][3200/3757] lr: 5.3678e-02 eta: 2 days, 7:38:38 time: 0.4059 data_time: 0.0140 memory: 13431 grad_norm: 2.9850 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7949 loss: 2.7949 2022/08/15 11:40:58 - mmengine - INFO - Epoch(train) [123][3300/3757] lr: 5.3678e-02 eta: 2 days, 7:37:59 time: 0.4016 data_time: 0.0155 memory: 13431 grad_norm: 2.8447 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4580 loss: 2.4580 2022/08/15 11:41:39 - mmengine - INFO - Epoch(train) [123][3400/3757] lr: 5.3678e-02 eta: 2 days, 7:37:19 time: 0.4003 data_time: 0.0159 memory: 13431 grad_norm: 2.8593 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3865 loss: 2.3865 2022/08/15 11:42:19 - mmengine - INFO - Epoch(train) [123][3500/3757] lr: 5.3678e-02 eta: 2 days, 7:36:39 time: 0.3995 data_time: 0.0153 memory: 13431 grad_norm: 2.8152 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 2.7815 loss: 2.7815 2022/08/15 11:43:00 - mmengine - INFO - Epoch(train) [123][3600/3757] lr: 5.3678e-02 eta: 2 days, 7:36:00 time: 0.4012 data_time: 0.0141 memory: 13431 grad_norm: 2.9418 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6957 loss: 2.6957 2022/08/15 11:43:18 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 11:43:40 - mmengine - INFO - Epoch(train) [123][3700/3757] lr: 5.3678e-02 eta: 2 days, 7:35:20 time: 0.4029 data_time: 0.0159 memory: 13431 grad_norm: 2.8975 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6802 loss: 2.6802 2022/08/15 11:44:03 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 11:44:03 - mmengine - INFO - Epoch(train) [123][3757/3757] lr: 5.3678e-02 eta: 2 days, 7:35:04 time: 0.3870 data_time: 0.0143 memory: 13431 grad_norm: 2.9480 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.5767 loss: 2.5767 2022/08/15 11:44:46 - mmengine - INFO - Epoch(train) [124][100/3757] lr: 5.3066e-02 eta: 2 days, 7:34:12 time: 0.4006 data_time: 0.0142 memory: 13431 grad_norm: 2.9373 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0062 loss: 3.0062 2022/08/15 11:45:26 - mmengine - INFO - Epoch(train) [124][200/3757] lr: 5.3066e-02 eta: 2 days, 7:33:33 time: 0.4020 data_time: 0.0165 memory: 13431 grad_norm: 2.8436 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6627 loss: 2.6627 2022/08/15 11:46:06 - mmengine - INFO - Epoch(train) [124][300/3757] lr: 5.3066e-02 eta: 2 days, 7:32:53 time: 0.4004 data_time: 0.0151 memory: 13431 grad_norm: 2.9547 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3216 loss: 2.3216 2022/08/15 11:46:47 - mmengine - INFO - Epoch(train) [124][400/3757] lr: 5.3066e-02 eta: 2 days, 7:32:13 time: 0.3997 data_time: 0.0152 memory: 13431 grad_norm: 2.9011 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6799 loss: 2.6799 2022/08/15 11:47:28 - mmengine - INFO - Epoch(train) [124][500/3757] lr: 5.3066e-02 eta: 2 days, 7:31:34 time: 0.4120 data_time: 0.0159 memory: 13431 grad_norm: 2.9074 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6789 loss: 2.6789 2022/08/15 11:48:08 - mmengine - INFO - Epoch(train) [124][600/3757] lr: 5.3066e-02 eta: 2 days, 7:30:54 time: 0.4031 data_time: 0.0146 memory: 13431 grad_norm: 2.8574 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5389 loss: 2.5389 2022/08/15 11:48:49 - mmengine - INFO - Epoch(train) [124][700/3757] lr: 5.3066e-02 eta: 2 days, 7:30:15 time: 0.4113 data_time: 0.0175 memory: 13431 grad_norm: 2.8407 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6557 loss: 2.6557 2022/08/15 11:49:29 - mmengine - INFO - Epoch(train) [124][800/3757] lr: 5.3066e-02 eta: 2 days, 7:29:35 time: 0.4031 data_time: 0.0151 memory: 13431 grad_norm: 2.9177 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6747 loss: 2.6747 2022/08/15 11:50:06 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 11:50:10 - mmengine - INFO - Epoch(train) [124][900/3757] lr: 5.3066e-02 eta: 2 days, 7:28:55 time: 0.4043 data_time: 0.0154 memory: 13431 grad_norm: 2.9422 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.5819 loss: 2.5819 2022/08/15 11:50:51 - mmengine - INFO - Epoch(train) [124][1000/3757] lr: 5.3066e-02 eta: 2 days, 7:28:16 time: 0.4069 data_time: 0.0159 memory: 13431 grad_norm: 2.8992 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4774 loss: 2.4774 2022/08/15 11:51:31 - mmengine - INFO - Epoch(train) [124][1100/3757] lr: 5.3066e-02 eta: 2 days, 7:27:36 time: 0.4034 data_time: 0.0160 memory: 13431 grad_norm: 2.9502 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7735 loss: 2.7735 2022/08/15 11:52:12 - mmengine - INFO - Epoch(train) [124][1200/3757] lr: 5.3066e-02 eta: 2 days, 7:26:56 time: 0.4008 data_time: 0.0150 memory: 13431 grad_norm: 2.9142 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3398 loss: 2.3398 2022/08/15 11:52:52 - mmengine - INFO - Epoch(train) [124][1300/3757] lr: 5.3066e-02 eta: 2 days, 7:26:17 time: 0.4013 data_time: 0.0163 memory: 13431 grad_norm: 2.9378 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8009 loss: 2.8009 2022/08/15 11:53:33 - mmengine - INFO - Epoch(train) [124][1400/3757] lr: 5.3066e-02 eta: 2 days, 7:25:37 time: 0.4016 data_time: 0.0149 memory: 13431 grad_norm: 2.8095 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6535 loss: 2.6535 2022/08/15 11:54:13 - mmengine - INFO - Epoch(train) [124][1500/3757] lr: 5.3066e-02 eta: 2 days, 7:24:58 time: 0.4054 data_time: 0.0157 memory: 13431 grad_norm: 2.8869 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9324 loss: 2.9324 2022/08/15 11:54:54 - mmengine - INFO - Epoch(train) [124][1600/3757] lr: 5.3066e-02 eta: 2 days, 7:24:18 time: 0.4052 data_time: 0.0163 memory: 13431 grad_norm: 2.9520 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4637 loss: 2.4637 2022/08/15 11:55:34 - mmengine - INFO - Epoch(train) [124][1700/3757] lr: 5.3066e-02 eta: 2 days, 7:23:38 time: 0.4024 data_time: 0.0148 memory: 13431 grad_norm: 2.8110 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.5054 loss: 2.5054 2022/08/15 11:56:15 - mmengine - INFO - Epoch(train) [124][1800/3757] lr: 5.3066e-02 eta: 2 days, 7:22:58 time: 0.4043 data_time: 0.0163 memory: 13431 grad_norm: 2.9722 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.5907 loss: 2.5907 2022/08/15 11:56:51 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 11:56:55 - mmengine - INFO - Epoch(train) [124][1900/3757] lr: 5.3066e-02 eta: 2 days, 7:22:19 time: 0.4027 data_time: 0.0144 memory: 13431 grad_norm: 2.9171 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6038 loss: 2.6038 2022/08/15 11:57:36 - mmengine - INFO - Epoch(train) [124][2000/3757] lr: 5.3066e-02 eta: 2 days, 7:21:39 time: 0.4023 data_time: 0.0150 memory: 13431 grad_norm: 2.9301 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6449 loss: 2.6449 2022/08/15 11:58:16 - mmengine - INFO - Epoch(train) [124][2100/3757] lr: 5.3066e-02 eta: 2 days, 7:20:59 time: 0.4023 data_time: 0.0152 memory: 13431 grad_norm: 2.9100 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6548 loss: 2.6548 2022/08/15 11:58:57 - mmengine - INFO - Epoch(train) [124][2200/3757] lr: 5.3066e-02 eta: 2 days, 7:20:20 time: 0.4059 data_time: 0.0145 memory: 13431 grad_norm: 2.8854 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.4636 loss: 2.4636 2022/08/15 11:59:38 - mmengine - INFO - Epoch(train) [124][2300/3757] lr: 5.3066e-02 eta: 2 days, 7:19:40 time: 0.4011 data_time: 0.0144 memory: 13431 grad_norm: 2.8280 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.7971 loss: 2.7971 2022/08/15 12:00:21 - mmengine - INFO - Epoch(train) [124][2400/3757] lr: 5.3066e-02 eta: 2 days, 7:19:04 time: 0.4002 data_time: 0.0142 memory: 13431 grad_norm: 2.8145 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6225 loss: 2.6225 2022/08/15 12:01:02 - mmengine - INFO - Epoch(train) [124][2500/3757] lr: 5.3066e-02 eta: 2 days, 7:18:24 time: 0.4019 data_time: 0.0151 memory: 13431 grad_norm: 2.9687 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7054 loss: 2.7054 2022/08/15 12:01:42 - mmengine - INFO - Epoch(train) [124][2600/3757] lr: 5.3066e-02 eta: 2 days, 7:17:44 time: 0.4032 data_time: 0.0165 memory: 13431 grad_norm: 2.8509 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8100 loss: 2.8100 2022/08/15 12:02:23 - mmengine - INFO - Epoch(train) [124][2700/3757] lr: 5.3066e-02 eta: 2 days, 7:17:05 time: 0.4077 data_time: 0.0157 memory: 13431 grad_norm: 2.9455 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8344 loss: 2.8344 2022/08/15 12:03:03 - mmengine - INFO - Epoch(train) [124][2800/3757] lr: 5.3066e-02 eta: 2 days, 7:16:25 time: 0.4046 data_time: 0.0154 memory: 13431 grad_norm: 2.9839 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5635 loss: 2.5635 2022/08/15 12:03:39 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 12:03:44 - mmengine - INFO - Epoch(train) [124][2900/3757] lr: 5.3066e-02 eta: 2 days, 7:15:45 time: 0.4069 data_time: 0.0154 memory: 13431 grad_norm: 2.9611 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6190 loss: 2.6190 2022/08/15 12:04:24 - mmengine - INFO - Epoch(train) [124][3000/3757] lr: 5.3066e-02 eta: 2 days, 7:15:06 time: 0.4021 data_time: 0.0153 memory: 13431 grad_norm: 2.8334 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3949 loss: 2.3949 2022/08/15 12:05:05 - mmengine - INFO - Epoch(train) [124][3100/3757] lr: 5.3066e-02 eta: 2 days, 7:14:26 time: 0.4014 data_time: 0.0143 memory: 13431 grad_norm: 2.8493 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.7635 loss: 2.7635 2022/08/15 12:05:45 - mmengine - INFO - Epoch(train) [124][3200/3757] lr: 5.3066e-02 eta: 2 days, 7:13:46 time: 0.4023 data_time: 0.0164 memory: 13431 grad_norm: 2.9175 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7195 loss: 2.7195 2022/08/15 12:06:26 - mmengine - INFO - Epoch(train) [124][3300/3757] lr: 5.3066e-02 eta: 2 days, 7:13:06 time: 0.4022 data_time: 0.0153 memory: 13431 grad_norm: 2.9112 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5782 loss: 2.5782 2022/08/15 12:07:06 - mmengine - INFO - Epoch(train) [124][3400/3757] lr: 5.3066e-02 eta: 2 days, 7:12:27 time: 0.4051 data_time: 0.0160 memory: 13431 grad_norm: 2.8038 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8532 loss: 2.8532 2022/08/15 12:07:47 - mmengine - INFO - Epoch(train) [124][3500/3757] lr: 5.3066e-02 eta: 2 days, 7:11:47 time: 0.4023 data_time: 0.0155 memory: 13431 grad_norm: 2.9872 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.5858 loss: 2.5858 2022/08/15 12:08:27 - mmengine - INFO - Epoch(train) [124][3600/3757] lr: 5.3066e-02 eta: 2 days, 7:11:07 time: 0.4099 data_time: 0.0166 memory: 13431 grad_norm: 2.8841 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6778 loss: 2.6778 2022/08/15 12:09:08 - mmengine - INFO - Epoch(train) [124][3700/3757] lr: 5.3066e-02 eta: 2 days, 7:10:28 time: 0.4024 data_time: 0.0143 memory: 13431 grad_norm: 2.9862 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5592 loss: 2.5592 2022/08/15 12:09:31 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 12:09:31 - mmengine - INFO - Epoch(train) [124][3757/3757] lr: 5.3066e-02 eta: 2 days, 7:10:12 time: 0.3880 data_time: 0.0133 memory: 13431 grad_norm: 2.8032 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 2.4202 loss: 2.4202 2022/08/15 12:09:31 - mmengine - INFO - Saving checkpoint at 124 epochs 2022/08/15 12:10:17 - mmengine - INFO - Epoch(train) [125][100/3757] lr: 5.2453e-02 eta: 2 days, 7:09:19 time: 0.4021 data_time: 0.0151 memory: 13431 grad_norm: 2.9420 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8453 loss: 2.8453 2022/08/15 12:10:30 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 12:10:58 - mmengine - INFO - Epoch(train) [125][200/3757] lr: 5.2453e-02 eta: 2 days, 7:08:39 time: 0.4022 data_time: 0.0159 memory: 13431 grad_norm: 2.9250 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.7875 loss: 2.7875 2022/08/15 12:11:38 - mmengine - INFO - Epoch(train) [125][300/3757] lr: 5.2453e-02 eta: 2 days, 7:08:00 time: 0.4012 data_time: 0.0149 memory: 13431 grad_norm: 2.9557 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3937 loss: 2.3937 2022/08/15 12:12:19 - mmengine - INFO - Epoch(train) [125][400/3757] lr: 5.2453e-02 eta: 2 days, 7:07:20 time: 0.4021 data_time: 0.0142 memory: 13431 grad_norm: 2.8998 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6219 loss: 2.6219 2022/08/15 12:12:59 - mmengine - INFO - Epoch(train) [125][500/3757] lr: 5.2453e-02 eta: 2 days, 7:06:40 time: 0.4061 data_time: 0.0145 memory: 13431 grad_norm: 2.9448 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6354 loss: 2.6354 2022/08/15 12:13:40 - mmengine - INFO - Epoch(train) [125][600/3757] lr: 5.2453e-02 eta: 2 days, 7:06:01 time: 0.4000 data_time: 0.0138 memory: 13431 grad_norm: 2.9460 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7056 loss: 2.7056 2022/08/15 12:14:21 - mmengine - INFO - Epoch(train) [125][700/3757] lr: 5.2453e-02 eta: 2 days, 7:05:21 time: 0.4031 data_time: 0.0145 memory: 13431 grad_norm: 3.0229 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5785 loss: 2.5785 2022/08/15 12:15:01 - mmengine - INFO - Epoch(train) [125][800/3757] lr: 5.2453e-02 eta: 2 days, 7:04:41 time: 0.4014 data_time: 0.0150 memory: 13431 grad_norm: 2.9446 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7820 loss: 2.7820 2022/08/15 12:15:42 - mmengine - INFO - Epoch(train) [125][900/3757] lr: 5.2453e-02 eta: 2 days, 7:04:02 time: 0.4042 data_time: 0.0151 memory: 13431 grad_norm: 3.0031 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6337 loss: 2.6337 2022/08/15 12:16:22 - mmengine - INFO - Epoch(train) [125][1000/3757] lr: 5.2453e-02 eta: 2 days, 7:03:22 time: 0.4021 data_time: 0.0141 memory: 13431 grad_norm: 2.9118 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7714 loss: 2.7714 2022/08/15 12:17:03 - mmengine - INFO - Epoch(train) [125][1100/3757] lr: 5.2453e-02 eta: 2 days, 7:02:42 time: 0.4025 data_time: 0.0145 memory: 13431 grad_norm: 2.9025 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4628 loss: 2.4628 2022/08/15 12:17:16 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 12:17:43 - mmengine - INFO - Epoch(train) [125][1200/3757] lr: 5.2453e-02 eta: 2 days, 7:02:03 time: 0.4079 data_time: 0.0151 memory: 13431 grad_norm: 2.8520 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7885 loss: 2.7885 2022/08/15 12:18:24 - mmengine - INFO - Epoch(train) [125][1300/3757] lr: 5.2453e-02 eta: 2 days, 7:01:23 time: 0.4072 data_time: 0.0149 memory: 13431 grad_norm: 2.9737 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4847 loss: 2.4847 2022/08/15 12:19:04 - mmengine - INFO - Epoch(train) [125][1400/3757] lr: 5.2453e-02 eta: 2 days, 7:00:43 time: 0.4027 data_time: 0.0154 memory: 13431 grad_norm: 2.8067 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7193 loss: 2.7193 2022/08/15 12:19:45 - mmengine - INFO - Epoch(train) [125][1500/3757] lr: 5.2453e-02 eta: 2 days, 7:00:04 time: 0.4137 data_time: 0.0140 memory: 13431 grad_norm: 2.8034 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.7894 loss: 2.7894 2022/08/15 12:20:25 - mmengine - INFO - Epoch(train) [125][1600/3757] lr: 5.2453e-02 eta: 2 days, 6:59:24 time: 0.4037 data_time: 0.0151 memory: 13431 grad_norm: 2.9270 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4345 loss: 2.4345 2022/08/15 12:21:06 - mmengine - INFO - Epoch(train) [125][1700/3757] lr: 5.2453e-02 eta: 2 days, 6:58:44 time: 0.4058 data_time: 0.0144 memory: 13431 grad_norm: 2.9315 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3791 loss: 2.3791 2022/08/15 12:21:46 - mmengine - INFO - Epoch(train) [125][1800/3757] lr: 5.2453e-02 eta: 2 days, 6:58:05 time: 0.4029 data_time: 0.0157 memory: 13431 grad_norm: 2.9646 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5262 loss: 2.5262 2022/08/15 12:22:27 - mmengine - INFO - Epoch(train) [125][1900/3757] lr: 5.2453e-02 eta: 2 days, 6:57:25 time: 0.4091 data_time: 0.0148 memory: 13431 grad_norm: 2.9202 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.6001 loss: 2.6001 2022/08/15 12:23:07 - mmengine - INFO - Epoch(train) [125][2000/3757] lr: 5.2453e-02 eta: 2 days, 6:56:45 time: 0.4014 data_time: 0.0149 memory: 13431 grad_norm: 2.8575 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5667 loss: 2.5667 2022/08/15 12:23:48 - mmengine - INFO - Epoch(train) [125][2100/3757] lr: 5.2453e-02 eta: 2 days, 6:56:06 time: 0.3996 data_time: 0.0142 memory: 13431 grad_norm: 2.9657 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6117 loss: 2.6117 2022/08/15 12:24:01 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 12:24:28 - mmengine - INFO - Epoch(train) [125][2200/3757] lr: 5.2453e-02 eta: 2 days, 6:55:26 time: 0.4011 data_time: 0.0147 memory: 13431 grad_norm: 2.9349 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7963 loss: 2.7963 2022/08/15 12:25:09 - mmengine - INFO - Epoch(train) [125][2300/3757] lr: 5.2453e-02 eta: 2 days, 6:54:46 time: 0.4020 data_time: 0.0155 memory: 13431 grad_norm: 2.8348 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2516 loss: 2.2516 2022/08/15 12:25:50 - mmengine - INFO - Epoch(train) [125][2400/3757] lr: 5.2453e-02 eta: 2 days, 6:54:07 time: 0.4024 data_time: 0.0166 memory: 13431 grad_norm: 2.9667 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6058 loss: 2.6058 2022/08/15 12:26:30 - mmengine - INFO - Epoch(train) [125][2500/3757] lr: 5.2453e-02 eta: 2 days, 6:53:27 time: 0.4035 data_time: 0.0146 memory: 13431 grad_norm: 2.9591 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3456 loss: 2.3456 2022/08/15 12:27:11 - mmengine - INFO - Epoch(train) [125][2600/3757] lr: 5.2453e-02 eta: 2 days, 6:52:47 time: 0.4028 data_time: 0.0151 memory: 13431 grad_norm: 2.9024 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.7535 loss: 2.7535 2022/08/15 12:27:51 - mmengine - INFO - Epoch(train) [125][2700/3757] lr: 5.2453e-02 eta: 2 days, 6:52:08 time: 0.4003 data_time: 0.0149 memory: 13431 grad_norm: 2.9764 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6280 loss: 2.6280 2022/08/15 12:28:32 - mmengine - INFO - Epoch(train) [125][2800/3757] lr: 5.2453e-02 eta: 2 days, 6:51:28 time: 0.4002 data_time: 0.0145 memory: 13431 grad_norm: 2.9481 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.5491 loss: 2.5491 2022/08/15 12:29:12 - mmengine - INFO - Epoch(train) [125][2900/3757] lr: 5.2453e-02 eta: 2 days, 6:50:48 time: 0.3997 data_time: 0.0147 memory: 13431 grad_norm: 2.9393 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4072 loss: 2.4072 2022/08/15 12:29:53 - mmengine - INFO - Epoch(train) [125][3000/3757] lr: 5.2453e-02 eta: 2 days, 6:50:09 time: 0.4000 data_time: 0.0143 memory: 13431 grad_norm: 3.0010 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6586 loss: 2.6586 2022/08/15 12:30:33 - mmengine - INFO - Epoch(train) [125][3100/3757] lr: 5.2453e-02 eta: 2 days, 6:49:29 time: 0.4006 data_time: 0.0150 memory: 13431 grad_norm: 2.9297 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6123 loss: 2.6123 2022/08/15 12:30:47 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 12:31:14 - mmengine - INFO - Epoch(train) [125][3200/3757] lr: 5.2453e-02 eta: 2 days, 6:48:50 time: 0.3997 data_time: 0.0140 memory: 13431 grad_norm: 2.8640 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3625 loss: 2.3625 2022/08/15 12:31:55 - mmengine - INFO - Epoch(train) [125][3300/3757] lr: 5.2453e-02 eta: 2 days, 6:48:10 time: 0.4018 data_time: 0.0152 memory: 13431 grad_norm: 2.9019 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8244 loss: 2.8244 2022/08/15 12:32:36 - mmengine - INFO - Epoch(train) [125][3400/3757] lr: 5.2453e-02 eta: 2 days, 6:47:31 time: 0.4001 data_time: 0.0143 memory: 13431 grad_norm: 2.9648 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4352 loss: 2.4352 2022/08/15 12:33:16 - mmengine - INFO - Epoch(train) [125][3500/3757] lr: 5.2453e-02 eta: 2 days, 6:46:51 time: 0.4008 data_time: 0.0147 memory: 13431 grad_norm: 2.8465 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2887 loss: 2.2887 2022/08/15 12:33:56 - mmengine - INFO - Epoch(train) [125][3600/3757] lr: 5.2453e-02 eta: 2 days, 6:46:11 time: 0.4025 data_time: 0.0150 memory: 13431 grad_norm: 2.8642 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6348 loss: 2.6348 2022/08/15 12:34:37 - mmengine - INFO - Epoch(train) [125][3700/3757] lr: 5.2453e-02 eta: 2 days, 6:45:31 time: 0.4044 data_time: 0.0139 memory: 13431 grad_norm: 2.9685 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7841 loss: 2.7841 2022/08/15 12:35:00 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 12:35:00 - mmengine - INFO - Epoch(train) [125][3757/3757] lr: 5.2453e-02 eta: 2 days, 6:45:16 time: 0.3911 data_time: 0.0154 memory: 13431 grad_norm: 2.9430 top1_acc: 0.4286 top5_acc: 0.4286 loss_cls: 2.4934 loss: 2.4934 2022/08/15 12:35:22 - mmengine - INFO - Epoch(val) [125][100/310] eta: 0:00:46 time: 0.2191 data_time: 0.0897 memory: 1974 2022/08/15 12:35:43 - mmengine - INFO - Epoch(val) [125][200/310] eta: 0:00:20 time: 0.1867 data_time: 0.0579 memory: 1974 2022/08/15 12:36:04 - mmengine - INFO - Epoch(val) [125][300/310] eta: 0:00:02 time: 0.2048 data_time: 0.0726 memory: 1974 2022/08/15 12:36:09 - mmengine - INFO - Epoch(val) [125][310/310] acc/top1: 0.4760 acc/top5: 0.7445 acc/mean1: 0.4759 2022/08/15 12:36:09 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_121.pth is removed 2022/08/15 12:36:13 - mmengine - INFO - The best checkpoint with 0.4760 acc/top1 at 126 epoch is saved to best_acc/top1_epoch_126.pth. 2022/08/15 12:36:54 - mmengine - INFO - Epoch(train) [126][100/3757] lr: 5.1840e-02 eta: 2 days, 6:44:23 time: 0.3998 data_time: 0.0156 memory: 13431 grad_norm: 2.9563 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6321 loss: 2.6321 2022/08/15 12:37:34 - mmengine - INFO - Epoch(train) [126][200/3757] lr: 5.1840e-02 eta: 2 days, 6:43:43 time: 0.4054 data_time: 0.0152 memory: 13431 grad_norm: 2.8277 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6918 loss: 2.6918 2022/08/15 12:38:15 - mmengine - INFO - Epoch(train) [126][300/3757] lr: 5.1840e-02 eta: 2 days, 6:43:04 time: 0.4068 data_time: 0.0159 memory: 13431 grad_norm: 2.9057 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8129 loss: 2.8129 2022/08/15 12:38:45 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 12:38:56 - mmengine - INFO - Epoch(train) [126][400/3757] lr: 5.1840e-02 eta: 2 days, 6:42:24 time: 0.4049 data_time: 0.0156 memory: 13431 grad_norm: 2.9875 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7060 loss: 2.7060 2022/08/15 12:39:36 - mmengine - INFO - Epoch(train) [126][500/3757] lr: 5.1840e-02 eta: 2 days, 6:41:44 time: 0.4038 data_time: 0.0145 memory: 13431 grad_norm: 2.9301 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6850 loss: 2.6850 2022/08/15 12:40:16 - mmengine - INFO - Epoch(train) [126][600/3757] lr: 5.1840e-02 eta: 2 days, 6:41:04 time: 0.4029 data_time: 0.0171 memory: 13431 grad_norm: 2.8941 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4305 loss: 2.4305 2022/08/15 12:40:57 - mmengine - INFO - Epoch(train) [126][700/3757] lr: 5.1840e-02 eta: 2 days, 6:40:24 time: 0.4058 data_time: 0.0170 memory: 13431 grad_norm: 2.9027 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5173 loss: 2.5173 2022/08/15 12:41:37 - mmengine - INFO - Epoch(train) [126][800/3757] lr: 5.1840e-02 eta: 2 days, 6:39:45 time: 0.4046 data_time: 0.0154 memory: 13431 grad_norm: 2.9690 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6688 loss: 2.6688 2022/08/15 12:42:18 - mmengine - INFO - Epoch(train) [126][900/3757] lr: 5.1840e-02 eta: 2 days, 6:39:06 time: 0.4120 data_time: 0.0165 memory: 13431 grad_norm: 2.9151 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3821 loss: 2.3821 2022/08/15 12:42:59 - mmengine - INFO - Epoch(train) [126][1000/3757] lr: 5.1840e-02 eta: 2 days, 6:38:26 time: 0.4137 data_time: 0.0159 memory: 13431 grad_norm: 2.9656 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3804 loss: 2.3804 2022/08/15 12:43:39 - mmengine - INFO - Epoch(train) [126][1100/3757] lr: 5.1840e-02 eta: 2 days, 6:37:46 time: 0.4030 data_time: 0.0148 memory: 13431 grad_norm: 2.9486 top1_acc: 0.0000 top5_acc: 0.7500 loss_cls: 2.6632 loss: 2.6632 2022/08/15 12:44:20 - mmengine - INFO - Epoch(train) [126][1200/3757] lr: 5.1840e-02 eta: 2 days, 6:37:06 time: 0.4046 data_time: 0.0152 memory: 13431 grad_norm: 2.9492 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.7925 loss: 2.7925 2022/08/15 12:45:00 - mmengine - INFO - Epoch(train) [126][1300/3757] lr: 5.1840e-02 eta: 2 days, 6:36:27 time: 0.4055 data_time: 0.0168 memory: 13431 grad_norm: 2.9359 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9507 loss: 2.9507 2022/08/15 12:45:31 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 12:45:41 - mmengine - INFO - Epoch(train) [126][1400/3757] lr: 5.1840e-02 eta: 2 days, 6:35:47 time: 0.4013 data_time: 0.0142 memory: 13431 grad_norm: 2.9620 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6197 loss: 2.6197 2022/08/15 12:46:21 - mmengine - INFO - Epoch(train) [126][1500/3757] lr: 5.1840e-02 eta: 2 days, 6:35:07 time: 0.4012 data_time: 0.0144 memory: 13431 grad_norm: 2.9826 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4939 loss: 2.4939 2022/08/15 12:47:02 - mmengine - INFO - Epoch(train) [126][1600/3757] lr: 5.1840e-02 eta: 2 days, 6:34:28 time: 0.4009 data_time: 0.0140 memory: 13431 grad_norm: 2.9286 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.6013 loss: 2.6013 2022/08/15 12:47:42 - mmengine - INFO - Epoch(train) [126][1700/3757] lr: 5.1840e-02 eta: 2 days, 6:33:48 time: 0.4068 data_time: 0.0142 memory: 13431 grad_norm: 2.9292 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6561 loss: 2.6561 2022/08/15 12:48:23 - mmengine - INFO - Epoch(train) [126][1800/3757] lr: 5.1840e-02 eta: 2 days, 6:33:08 time: 0.3991 data_time: 0.0139 memory: 13431 grad_norm: 2.9255 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8696 loss: 2.8696 2022/08/15 12:49:03 - mmengine - INFO - Epoch(train) [126][1900/3757] lr: 5.1840e-02 eta: 2 days, 6:32:28 time: 0.4003 data_time: 0.0140 memory: 13431 grad_norm: 3.0513 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6268 loss: 2.6268 2022/08/15 12:49:44 - mmengine - INFO - Epoch(train) [126][2000/3757] lr: 5.1840e-02 eta: 2 days, 6:31:48 time: 0.4015 data_time: 0.0148 memory: 13431 grad_norm: 2.9590 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5480 loss: 2.5480 2022/08/15 12:50:24 - mmengine - INFO - Epoch(train) [126][2100/3757] lr: 5.1840e-02 eta: 2 days, 6:31:09 time: 0.4002 data_time: 0.0144 memory: 13431 grad_norm: 2.9409 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6420 loss: 2.6420 2022/08/15 12:51:05 - mmengine - INFO - Epoch(train) [126][2200/3757] lr: 5.1840e-02 eta: 2 days, 6:30:29 time: 0.4009 data_time: 0.0141 memory: 13431 grad_norm: 2.9266 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4452 loss: 2.4452 2022/08/15 12:51:45 - mmengine - INFO - Epoch(train) [126][2300/3757] lr: 5.1840e-02 eta: 2 days, 6:29:50 time: 0.4052 data_time: 0.0168 memory: 13431 grad_norm: 2.9122 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5476 loss: 2.5476 2022/08/15 12:52:16 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 12:52:26 - mmengine - INFO - Epoch(train) [126][2400/3757] lr: 5.1840e-02 eta: 2 days, 6:29:10 time: 0.4010 data_time: 0.0144 memory: 13431 grad_norm: 2.9457 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5073 loss: 2.5073 2022/08/15 12:53:06 - mmengine - INFO - Epoch(train) [126][2500/3757] lr: 5.1840e-02 eta: 2 days, 6:28:30 time: 0.4048 data_time: 0.0150 memory: 13431 grad_norm: 2.9162 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.7079 loss: 2.7079 2022/08/15 12:53:47 - mmengine - INFO - Epoch(train) [126][2600/3757] lr: 5.1840e-02 eta: 2 days, 6:27:51 time: 0.4091 data_time: 0.0151 memory: 13431 grad_norm: 3.0374 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9536 loss: 2.9536 2022/08/15 12:54:27 - mmengine - INFO - Epoch(train) [126][2700/3757] lr: 5.1840e-02 eta: 2 days, 6:27:11 time: 0.4063 data_time: 0.0170 memory: 13431 grad_norm: 2.9472 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8156 loss: 2.8156 2022/08/15 12:55:08 - mmengine - INFO - Epoch(train) [126][2800/3757] lr: 5.1840e-02 eta: 2 days, 6:26:31 time: 0.4117 data_time: 0.0143 memory: 13431 grad_norm: 2.9304 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3552 loss: 2.3552 2022/08/15 12:55:49 - mmengine - INFO - Epoch(train) [126][2900/3757] lr: 5.1840e-02 eta: 2 days, 6:25:52 time: 0.4007 data_time: 0.0143 memory: 13431 grad_norm: 3.0378 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5352 loss: 2.5352 2022/08/15 12:56:29 - mmengine - INFO - Epoch(train) [126][3000/3757] lr: 5.1840e-02 eta: 2 days, 6:25:12 time: 0.4060 data_time: 0.0152 memory: 13431 grad_norm: 2.9253 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7007 loss: 2.7007 2022/08/15 12:57:10 - mmengine - INFO - Epoch(train) [126][3100/3757] lr: 5.1840e-02 eta: 2 days, 6:24:32 time: 0.4107 data_time: 0.0150 memory: 13431 grad_norm: 2.9451 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5760 loss: 2.5760 2022/08/15 12:57:50 - mmengine - INFO - Epoch(train) [126][3200/3757] lr: 5.1840e-02 eta: 2 days, 6:23:53 time: 0.4078 data_time: 0.0156 memory: 13431 grad_norm: 2.8533 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.7517 loss: 2.7517 2022/08/15 12:58:31 - mmengine - INFO - Epoch(train) [126][3300/3757] lr: 5.1840e-02 eta: 2 days, 6:23:13 time: 0.4038 data_time: 0.0150 memory: 13431 grad_norm: 2.9441 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6884 loss: 2.6884 2022/08/15 12:59:01 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 12:59:12 - mmengine - INFO - Epoch(train) [126][3400/3757] lr: 5.1840e-02 eta: 2 days, 6:22:33 time: 0.4020 data_time: 0.0147 memory: 13431 grad_norm: 3.0015 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4462 loss: 2.4462 2022/08/15 12:59:52 - mmengine - INFO - Epoch(train) [126][3500/3757] lr: 5.1840e-02 eta: 2 days, 6:21:54 time: 0.4112 data_time: 0.0157 memory: 13431 grad_norm: 3.1106 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6339 loss: 2.6339 2022/08/15 13:00:33 - mmengine - INFO - Epoch(train) [126][3600/3757] lr: 5.1840e-02 eta: 2 days, 6:21:14 time: 0.4012 data_time: 0.0149 memory: 13431 grad_norm: 2.9452 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4733 loss: 2.4733 2022/08/15 13:01:13 - mmengine - INFO - Epoch(train) [126][3700/3757] lr: 5.1840e-02 eta: 2 days, 6:20:34 time: 0.4078 data_time: 0.0147 memory: 13431 grad_norm: 2.8904 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6365 loss: 2.6365 2022/08/15 13:01:36 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 13:01:36 - mmengine - INFO - Epoch(train) [126][3757/3757] lr: 5.1840e-02 eta: 2 days, 6:20:19 time: 0.3955 data_time: 0.0136 memory: 13431 grad_norm: 2.9495 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 2.5430 loss: 2.5430 2022/08/15 13:02:19 - mmengine - INFO - Epoch(train) [127][100/3757] lr: 5.1227e-02 eta: 2 days, 6:19:27 time: 0.4011 data_time: 0.0142 memory: 13431 grad_norm: 2.9408 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7508 loss: 2.7508 2022/08/15 13:02:59 - mmengine - INFO - Epoch(train) [127][200/3757] lr: 5.1227e-02 eta: 2 days, 6:18:48 time: 0.4031 data_time: 0.0155 memory: 13431 grad_norm: 2.9183 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0805 loss: 3.0805 2022/08/15 13:03:40 - mmengine - INFO - Epoch(train) [127][300/3757] lr: 5.1227e-02 eta: 2 days, 6:18:08 time: 0.4034 data_time: 0.0150 memory: 13431 grad_norm: 2.9357 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4399 loss: 2.4399 2022/08/15 13:04:20 - mmengine - INFO - Epoch(train) [127][400/3757] lr: 5.1227e-02 eta: 2 days, 6:17:28 time: 0.4037 data_time: 0.0157 memory: 13431 grad_norm: 3.0075 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1967 loss: 2.1967 2022/08/15 13:05:01 - mmengine - INFO - Epoch(train) [127][500/3757] lr: 5.1227e-02 eta: 2 days, 6:16:48 time: 0.4010 data_time: 0.0138 memory: 13431 grad_norm: 2.8308 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.5598 loss: 2.5598 2022/08/15 13:05:42 - mmengine - INFO - Epoch(train) [127][600/3757] lr: 5.1227e-02 eta: 2 days, 6:16:09 time: 0.4091 data_time: 0.0171 memory: 13431 grad_norm: 2.9136 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.6197 loss: 2.6197 2022/08/15 13:05:49 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 13:06:22 - mmengine - INFO - Epoch(train) [127][700/3757] lr: 5.1227e-02 eta: 2 days, 6:15:29 time: 0.3994 data_time: 0.0142 memory: 13431 grad_norm: 2.9584 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1283 loss: 2.1283 2022/08/15 13:07:03 - mmengine - INFO - Epoch(train) [127][800/3757] lr: 5.1227e-02 eta: 2 days, 6:14:50 time: 0.4036 data_time: 0.0149 memory: 13431 grad_norm: 2.9483 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4613 loss: 2.4613 2022/08/15 13:07:43 - mmengine - INFO - Epoch(train) [127][900/3757] lr: 5.1227e-02 eta: 2 days, 6:14:10 time: 0.4012 data_time: 0.0141 memory: 13431 grad_norm: 3.0710 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.6103 loss: 2.6103 2022/08/15 13:08:24 - mmengine - INFO - Epoch(train) [127][1000/3757] lr: 5.1227e-02 eta: 2 days, 6:13:30 time: 0.4008 data_time: 0.0155 memory: 13431 grad_norm: 2.9955 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1841 loss: 2.1841 2022/08/15 13:09:04 - mmengine - INFO - Epoch(train) [127][1100/3757] lr: 5.1227e-02 eta: 2 days, 6:12:50 time: 0.4008 data_time: 0.0143 memory: 13431 grad_norm: 2.9413 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4450 loss: 2.4450 2022/08/15 13:09:45 - mmengine - INFO - Epoch(train) [127][1200/3757] lr: 5.1227e-02 eta: 2 days, 6:12:11 time: 0.4012 data_time: 0.0141 memory: 13431 grad_norm: 2.8734 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.4122 loss: 2.4122 2022/08/15 13:10:25 - mmengine - INFO - Epoch(train) [127][1300/3757] lr: 5.1227e-02 eta: 2 days, 6:11:31 time: 0.3996 data_time: 0.0145 memory: 13431 grad_norm: 2.9369 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5731 loss: 2.5731 2022/08/15 13:11:06 - mmengine - INFO - Epoch(train) [127][1400/3757] lr: 5.1227e-02 eta: 2 days, 6:10:51 time: 0.4013 data_time: 0.0158 memory: 13431 grad_norm: 2.8671 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6722 loss: 2.6722 2022/08/15 13:11:46 - mmengine - INFO - Epoch(train) [127][1500/3757] lr: 5.1227e-02 eta: 2 days, 6:10:12 time: 0.4028 data_time: 0.0148 memory: 13431 grad_norm: 2.9323 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3798 loss: 2.3798 2022/08/15 13:12:27 - mmengine - INFO - Epoch(train) [127][1600/3757] lr: 5.1227e-02 eta: 2 days, 6:09:32 time: 0.4038 data_time: 0.0147 memory: 13431 grad_norm: 2.9258 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3417 loss: 2.3417 2022/08/15 13:12:34 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 13:13:07 - mmengine - INFO - Epoch(train) [127][1700/3757] lr: 5.1227e-02 eta: 2 days, 6:08:52 time: 0.4004 data_time: 0.0147 memory: 13431 grad_norm: 2.8353 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5531 loss: 2.5531 2022/08/15 13:13:47 - mmengine - INFO - Epoch(train) [127][1800/3757] lr: 5.1227e-02 eta: 2 days, 6:08:12 time: 0.4019 data_time: 0.0148 memory: 13431 grad_norm: 2.7942 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.7671 loss: 2.7671 2022/08/15 13:14:28 - mmengine - INFO - Epoch(train) [127][1900/3757] lr: 5.1227e-02 eta: 2 days, 6:07:33 time: 0.4009 data_time: 0.0151 memory: 13431 grad_norm: 2.9177 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6740 loss: 2.6740 2022/08/15 13:15:08 - mmengine - INFO - Epoch(train) [127][2000/3757] lr: 5.1227e-02 eta: 2 days, 6:06:53 time: 0.4025 data_time: 0.0155 memory: 13431 grad_norm: 3.0476 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.7059 loss: 2.7059 2022/08/15 13:15:49 - mmengine - INFO - Epoch(train) [127][2100/3757] lr: 5.1227e-02 eta: 2 days, 6:06:13 time: 0.4011 data_time: 0.0149 memory: 13431 grad_norm: 2.9754 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6766 loss: 2.6766 2022/08/15 13:16:30 - mmengine - INFO - Epoch(train) [127][2200/3757] lr: 5.1227e-02 eta: 2 days, 6:05:34 time: 0.4024 data_time: 0.0149 memory: 13431 grad_norm: 2.9940 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6093 loss: 2.6093 2022/08/15 13:17:10 - mmengine - INFO - Epoch(train) [127][2300/3757] lr: 5.1227e-02 eta: 2 days, 6:04:54 time: 0.4013 data_time: 0.0147 memory: 13431 grad_norm: 2.9678 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7263 loss: 2.7263 2022/08/15 13:17:51 - mmengine - INFO - Epoch(train) [127][2400/3757] lr: 5.1227e-02 eta: 2 days, 6:04:14 time: 0.4023 data_time: 0.0150 memory: 13431 grad_norm: 3.0152 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5445 loss: 2.5445 2022/08/15 13:18:31 - mmengine - INFO - Epoch(train) [127][2500/3757] lr: 5.1227e-02 eta: 2 days, 6:03:34 time: 0.4023 data_time: 0.0149 memory: 13431 grad_norm: 2.7650 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2990 loss: 2.2990 2022/08/15 13:19:12 - mmengine - INFO - Epoch(train) [127][2600/3757] lr: 5.1227e-02 eta: 2 days, 6:02:55 time: 0.4017 data_time: 0.0157 memory: 13431 grad_norm: 2.9881 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9755 loss: 2.9755 2022/08/15 13:19:19 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 13:19:52 - mmengine - INFO - Epoch(train) [127][2700/3757] lr: 5.1227e-02 eta: 2 days, 6:02:15 time: 0.4009 data_time: 0.0141 memory: 13431 grad_norm: 3.0399 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.7592 loss: 2.7592 2022/08/15 13:20:33 - mmengine - INFO - Epoch(train) [127][2800/3757] lr: 5.1227e-02 eta: 2 days, 6:01:36 time: 0.4032 data_time: 0.0143 memory: 13431 grad_norm: 2.9472 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5896 loss: 2.5896 2022/08/15 13:21:14 - mmengine - INFO - Epoch(train) [127][2900/3757] lr: 5.1227e-02 eta: 2 days, 6:00:56 time: 0.4021 data_time: 0.0156 memory: 13431 grad_norm: 2.9519 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7142 loss: 2.7142 2022/08/15 13:21:54 - mmengine - INFO - Epoch(train) [127][3000/3757] lr: 5.1227e-02 eta: 2 days, 6:00:16 time: 0.4024 data_time: 0.0153 memory: 13431 grad_norm: 2.9774 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5628 loss: 2.5628 2022/08/15 13:22:35 - mmengine - INFO - Epoch(train) [127][3100/3757] lr: 5.1227e-02 eta: 2 days, 5:59:36 time: 0.4022 data_time: 0.0160 memory: 13431 grad_norm: 2.9931 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5630 loss: 2.5630 2022/08/15 13:23:15 - mmengine - INFO - Epoch(train) [127][3200/3757] lr: 5.1227e-02 eta: 2 days, 5:58:56 time: 0.4030 data_time: 0.0146 memory: 13431 grad_norm: 2.9872 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7811 loss: 2.7811 2022/08/15 13:23:56 - mmengine - INFO - Epoch(train) [127][3300/3757] lr: 5.1227e-02 eta: 2 days, 5:58:17 time: 0.4015 data_time: 0.0152 memory: 13431 grad_norm: 2.9293 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7831 loss: 2.7831 2022/08/15 13:24:36 - mmengine - INFO - Epoch(train) [127][3400/3757] lr: 5.1227e-02 eta: 2 days, 5:57:37 time: 0.4020 data_time: 0.0171 memory: 13431 grad_norm: 2.9854 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6124 loss: 2.6124 2022/08/15 13:25:17 - mmengine - INFO - Epoch(train) [127][3500/3757] lr: 5.1227e-02 eta: 2 days, 5:56:58 time: 0.4033 data_time: 0.0157 memory: 13431 grad_norm: 2.9681 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6375 loss: 2.6375 2022/08/15 13:25:57 - mmengine - INFO - Epoch(train) [127][3600/3757] lr: 5.1227e-02 eta: 2 days, 5:56:18 time: 0.4017 data_time: 0.0145 memory: 13431 grad_norm: 2.8728 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2978 loss: 2.2978 2022/08/15 13:26:05 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 13:26:38 - mmengine - INFO - Epoch(train) [127][3700/3757] lr: 5.1227e-02 eta: 2 days, 5:55:38 time: 0.4015 data_time: 0.0149 memory: 13431 grad_norm: 2.9777 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3607 loss: 2.3607 2022/08/15 13:27:01 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 13:27:01 - mmengine - INFO - Epoch(train) [127][3757/3757] lr: 5.1227e-02 eta: 2 days, 5:55:22 time: 0.3941 data_time: 0.0151 memory: 13431 grad_norm: 2.9084 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 2.3189 loss: 2.3189 2022/08/15 13:27:44 - mmengine - INFO - Epoch(train) [128][100/3757] lr: 5.0614e-02 eta: 2 days, 5:54:31 time: 0.4027 data_time: 0.0154 memory: 13431 grad_norm: 3.0682 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6572 loss: 2.6572 2022/08/15 13:28:24 - mmengine - INFO - Epoch(train) [128][200/3757] lr: 5.0614e-02 eta: 2 days, 5:53:52 time: 0.4021 data_time: 0.0145 memory: 13431 grad_norm: 2.9398 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3735 loss: 2.3735 2022/08/15 13:29:05 - mmengine - INFO - Epoch(train) [128][300/3757] lr: 5.0614e-02 eta: 2 days, 5:53:12 time: 0.4011 data_time: 0.0145 memory: 13431 grad_norm: 3.0147 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5645 loss: 2.5645 2022/08/15 13:29:46 - mmengine - INFO - Epoch(train) [128][400/3757] lr: 5.0614e-02 eta: 2 days, 5:52:33 time: 0.4006 data_time: 0.0145 memory: 13431 grad_norm: 2.9075 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6216 loss: 2.6216 2022/08/15 13:30:26 - mmengine - INFO - Epoch(train) [128][500/3757] lr: 5.0614e-02 eta: 2 days, 5:51:53 time: 0.4070 data_time: 0.0147 memory: 13431 grad_norm: 3.0472 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.4636 loss: 2.4636 2022/08/15 13:31:07 - mmengine - INFO - Epoch(train) [128][600/3757] lr: 5.0614e-02 eta: 2 days, 5:51:13 time: 0.4002 data_time: 0.0144 memory: 13431 grad_norm: 3.0014 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6768 loss: 2.6768 2022/08/15 13:31:47 - mmengine - INFO - Epoch(train) [128][700/3757] lr: 5.0614e-02 eta: 2 days, 5:50:33 time: 0.3983 data_time: 0.0141 memory: 13431 grad_norm: 2.9423 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7938 loss: 2.7938 2022/08/15 13:32:28 - mmengine - INFO - Epoch(train) [128][800/3757] lr: 5.0614e-02 eta: 2 days, 5:49:54 time: 0.4032 data_time: 0.0150 memory: 13431 grad_norm: 2.9436 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7428 loss: 2.7428 2022/08/15 13:32:52 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 13:33:08 - mmengine - INFO - Epoch(train) [128][900/3757] lr: 5.0614e-02 eta: 2 days, 5:49:14 time: 0.4027 data_time: 0.0150 memory: 13431 grad_norm: 2.8886 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8590 loss: 2.8590 2022/08/15 13:33:49 - mmengine - INFO - Epoch(train) [128][1000/3757] lr: 5.0614e-02 eta: 2 days, 5:48:34 time: 0.4011 data_time: 0.0150 memory: 13431 grad_norm: 2.9047 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6258 loss: 2.6258 2022/08/15 13:34:29 - mmengine - INFO - Epoch(train) [128][1100/3757] lr: 5.0614e-02 eta: 2 days, 5:47:55 time: 0.4025 data_time: 0.0146 memory: 13431 grad_norm: 2.9587 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3906 loss: 2.3906 2022/08/15 13:35:10 - mmengine - INFO - Epoch(train) [128][1200/3757] lr: 5.0614e-02 eta: 2 days, 5:47:15 time: 0.4102 data_time: 0.0146 memory: 13431 grad_norm: 2.8820 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5793 loss: 2.5793 2022/08/15 13:35:50 - mmengine - INFO - Epoch(train) [128][1300/3757] lr: 5.0614e-02 eta: 2 days, 5:46:35 time: 0.4012 data_time: 0.0137 memory: 13431 grad_norm: 2.9636 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4210 loss: 2.4210 2022/08/15 13:36:31 - mmengine - INFO - Epoch(train) [128][1400/3757] lr: 5.0614e-02 eta: 2 days, 5:45:56 time: 0.4016 data_time: 0.0145 memory: 13431 grad_norm: 2.8400 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6125 loss: 2.6125 2022/08/15 13:37:12 - mmengine - INFO - Epoch(train) [128][1500/3757] lr: 5.0614e-02 eta: 2 days, 5:45:16 time: 0.4095 data_time: 0.0150 memory: 13431 grad_norm: 3.0526 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8474 loss: 2.8474 2022/08/15 13:37:52 - mmengine - INFO - Epoch(train) [128][1600/3757] lr: 5.0614e-02 eta: 2 days, 5:44:36 time: 0.4000 data_time: 0.0144 memory: 13431 grad_norm: 2.9823 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5099 loss: 2.5099 2022/08/15 13:38:33 - mmengine - INFO - Epoch(train) [128][1700/3757] lr: 5.0614e-02 eta: 2 days, 5:43:57 time: 0.4027 data_time: 0.0144 memory: 13431 grad_norm: 2.9825 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7608 loss: 2.7608 2022/08/15 13:39:14 - mmengine - INFO - Epoch(train) [128][1800/3757] lr: 5.0614e-02 eta: 2 days, 5:43:17 time: 0.4058 data_time: 0.0141 memory: 13431 grad_norm: 3.0425 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8218 loss: 2.8218 2022/08/15 13:39:38 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 13:39:54 - mmengine - INFO - Epoch(train) [128][1900/3757] lr: 5.0614e-02 eta: 2 days, 5:42:38 time: 0.4096 data_time: 0.0149 memory: 13431 grad_norm: 3.0090 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4153 loss: 2.4153 2022/08/15 13:40:35 - mmengine - INFO - Epoch(train) [128][2000/3757] lr: 5.0614e-02 eta: 2 days, 5:41:58 time: 0.4027 data_time: 0.0155 memory: 13431 grad_norm: 2.9711 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.4525 loss: 2.4525 2022/08/15 13:41:16 - mmengine - INFO - Epoch(train) [128][2100/3757] lr: 5.0614e-02 eta: 2 days, 5:41:19 time: 0.4028 data_time: 0.0145 memory: 13431 grad_norm: 2.9825 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6101 loss: 2.6101 2022/08/15 13:41:57 - mmengine - INFO - Epoch(train) [128][2200/3757] lr: 5.0614e-02 eta: 2 days, 5:40:39 time: 0.4036 data_time: 0.0149 memory: 13431 grad_norm: 2.9715 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7835 loss: 2.7835 2022/08/15 13:42:37 - mmengine - INFO - Epoch(train) [128][2300/3757] lr: 5.0614e-02 eta: 2 days, 5:40:00 time: 0.3983 data_time: 0.0148 memory: 13431 grad_norm: 3.1488 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7181 loss: 2.7181 2022/08/15 13:43:18 - mmengine - INFO - Epoch(train) [128][2400/3757] lr: 5.0614e-02 eta: 2 days, 5:39:20 time: 0.4011 data_time: 0.0140 memory: 13431 grad_norm: 2.9363 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8510 loss: 2.8510 2022/08/15 13:43:58 - mmengine - INFO - Epoch(train) [128][2500/3757] lr: 5.0614e-02 eta: 2 days, 5:38:41 time: 0.4062 data_time: 0.0156 memory: 13431 grad_norm: 3.0031 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5061 loss: 2.5061 2022/08/15 13:44:39 - mmengine - INFO - Epoch(train) [128][2600/3757] lr: 5.0614e-02 eta: 2 days, 5:38:01 time: 0.4019 data_time: 0.0150 memory: 13431 grad_norm: 3.1091 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7518 loss: 2.7518 2022/08/15 13:45:20 - mmengine - INFO - Epoch(train) [128][2700/3757] lr: 5.0614e-02 eta: 2 days, 5:37:21 time: 0.4005 data_time: 0.0151 memory: 13431 grad_norm: 3.0427 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1172 loss: 3.1172 2022/08/15 13:46:00 - mmengine - INFO - Epoch(train) [128][2800/3757] lr: 5.0614e-02 eta: 2 days, 5:36:42 time: 0.4025 data_time: 0.0149 memory: 13431 grad_norm: 2.9805 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8501 loss: 2.8501 2022/08/15 13:46:25 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 13:46:41 - mmengine - INFO - Epoch(train) [128][2900/3757] lr: 5.0614e-02 eta: 2 days, 5:36:02 time: 0.4065 data_time: 0.0150 memory: 13431 grad_norm: 2.8996 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2397 loss: 2.2397 2022/08/15 13:47:22 - mmengine - INFO - Epoch(train) [128][3000/3757] lr: 5.0614e-02 eta: 2 days, 5:35:22 time: 0.4023 data_time: 0.0158 memory: 13431 grad_norm: 3.0212 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5983 loss: 2.5983 2022/08/15 13:48:02 - mmengine - INFO - Epoch(train) [128][3100/3757] lr: 5.0614e-02 eta: 2 days, 5:34:43 time: 0.4004 data_time: 0.0144 memory: 13431 grad_norm: 2.9649 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8109 loss: 2.8109 2022/08/15 13:48:43 - mmengine - INFO - Epoch(train) [128][3200/3757] lr: 5.0614e-02 eta: 2 days, 5:34:04 time: 0.4024 data_time: 0.0142 memory: 13431 grad_norm: 2.9315 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6556 loss: 2.6556 2022/08/15 13:49:24 - mmengine - INFO - Epoch(train) [128][3300/3757] lr: 5.0614e-02 eta: 2 days, 5:33:24 time: 0.4082 data_time: 0.0141 memory: 13431 grad_norm: 2.8408 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5813 loss: 2.5813 2022/08/15 13:50:04 - mmengine - INFO - Epoch(train) [128][3400/3757] lr: 5.0614e-02 eta: 2 days, 5:32:44 time: 0.4033 data_time: 0.0148 memory: 13431 grad_norm: 2.9418 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7806 loss: 2.7806 2022/08/15 13:50:45 - mmengine - INFO - Epoch(train) [128][3500/3757] lr: 5.0614e-02 eta: 2 days, 5:32:04 time: 0.4101 data_time: 0.0159 memory: 13431 grad_norm: 2.9821 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5621 loss: 2.5621 2022/08/15 13:51:25 - mmengine - INFO - Epoch(train) [128][3600/3757] lr: 5.0614e-02 eta: 2 days, 5:31:25 time: 0.4046 data_time: 0.0159 memory: 13431 grad_norm: 2.9657 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5324 loss: 2.5324 2022/08/15 13:52:06 - mmengine - INFO - Epoch(train) [128][3700/3757] lr: 5.0614e-02 eta: 2 days, 5:30:45 time: 0.4084 data_time: 0.0150 memory: 13431 grad_norm: 2.9826 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7430 loss: 2.7430 2022/08/15 13:52:29 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 13:52:29 - mmengine - INFO - Epoch(train) [128][3757/3757] lr: 5.0614e-02 eta: 2 days, 5:30:30 time: 0.3964 data_time: 0.0137 memory: 13431 grad_norm: 3.0121 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.6143 loss: 2.6143 2022/08/15 13:52:29 - mmengine - INFO - Saving checkpoint at 128 epochs 2022/08/15 13:53:16 - mmengine - INFO - Epoch(train) [129][100/3757] lr: 5.0000e-02 eta: 2 days, 5:29:37 time: 0.4038 data_time: 0.0148 memory: 13431 grad_norm: 3.1181 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8496 loss: 2.8496 2022/08/15 13:53:18 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 13:53:57 - mmengine - INFO - Epoch(train) [129][200/3757] lr: 5.0000e-02 eta: 2 days, 5:28:58 time: 0.4028 data_time: 0.0184 memory: 13431 grad_norm: 2.9613 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4117 loss: 2.4117 2022/08/15 13:54:37 - mmengine - INFO - Epoch(train) [129][300/3757] lr: 5.0000e-02 eta: 2 days, 5:28:18 time: 0.4010 data_time: 0.0149 memory: 13431 grad_norm: 3.0756 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6320 loss: 2.6320 2022/08/15 13:55:18 - mmengine - INFO - Epoch(train) [129][400/3757] lr: 5.0000e-02 eta: 2 days, 5:27:38 time: 0.4001 data_time: 0.0142 memory: 13431 grad_norm: 2.8444 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5940 loss: 2.5940 2022/08/15 13:55:59 - mmengine - INFO - Epoch(train) [129][500/3757] lr: 5.0000e-02 eta: 2 days, 5:26:59 time: 0.4007 data_time: 0.0150 memory: 13431 grad_norm: 2.8989 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5370 loss: 2.5370 2022/08/15 13:56:39 - mmengine - INFO - Epoch(train) [129][600/3757] lr: 5.0000e-02 eta: 2 days, 5:26:19 time: 0.4039 data_time: 0.0151 memory: 13431 grad_norm: 2.9079 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8467 loss: 2.8467 2022/08/15 13:57:20 - mmengine - INFO - Epoch(train) [129][700/3757] lr: 5.0000e-02 eta: 2 days, 5:25:40 time: 0.4111 data_time: 0.0151 memory: 13431 grad_norm: 3.0298 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7909 loss: 2.7909 2022/08/15 13:58:01 - mmengine - INFO - Epoch(train) [129][800/3757] lr: 5.0000e-02 eta: 2 days, 5:25:00 time: 0.4109 data_time: 0.0160 memory: 13431 grad_norm: 3.0028 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4594 loss: 2.4594 2022/08/15 13:58:41 - mmengine - INFO - Epoch(train) [129][900/3757] lr: 5.0000e-02 eta: 2 days, 5:24:21 time: 0.4015 data_time: 0.0145 memory: 13431 grad_norm: 3.0477 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6045 loss: 2.6045 2022/08/15 13:59:22 - mmengine - INFO - Epoch(train) [129][1000/3757] lr: 5.0000e-02 eta: 2 days, 5:23:41 time: 0.4016 data_time: 0.0151 memory: 13431 grad_norm: 2.9439 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7125 loss: 2.7125 2022/08/15 14:00:02 - mmengine - INFO - Epoch(train) [129][1100/3757] lr: 5.0000e-02 eta: 2 days, 5:23:01 time: 0.4024 data_time: 0.0154 memory: 13431 grad_norm: 2.9806 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8722 loss: 2.8722 2022/08/15 14:00:04 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 14:00:43 - mmengine - INFO - Epoch(train) [129][1200/3757] lr: 5.0000e-02 eta: 2 days, 5:22:22 time: 0.4043 data_time: 0.0155 memory: 13431 grad_norm: 2.9416 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7963 loss: 2.7963 2022/08/15 14:01:23 - mmengine - INFO - Epoch(train) [129][1300/3757] lr: 5.0000e-02 eta: 2 days, 5:21:42 time: 0.4039 data_time: 0.0160 memory: 13431 grad_norm: 3.0129 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3853 loss: 2.3853 2022/08/15 14:02:04 - mmengine - INFO - Epoch(train) [129][1400/3757] lr: 5.0000e-02 eta: 2 days, 5:21:02 time: 0.4023 data_time: 0.0143 memory: 13431 grad_norm: 2.8610 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4908 loss: 2.4908 2022/08/15 14:02:45 - mmengine - INFO - Epoch(train) [129][1500/3757] lr: 5.0000e-02 eta: 2 days, 5:20:22 time: 0.4035 data_time: 0.0155 memory: 13431 grad_norm: 3.0003 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7017 loss: 2.7017 2022/08/15 14:03:25 - mmengine - INFO - Epoch(train) [129][1600/3757] lr: 5.0000e-02 eta: 2 days, 5:19:43 time: 0.4050 data_time: 0.0146 memory: 13431 grad_norm: 3.0893 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8126 loss: 2.8126 2022/08/15 14:04:06 - mmengine - INFO - Epoch(train) [129][1700/3757] lr: 5.0000e-02 eta: 2 days, 5:19:03 time: 0.4035 data_time: 0.0149 memory: 13431 grad_norm: 2.9885 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6806 loss: 2.6806 2022/08/15 14:04:47 - mmengine - INFO - Epoch(train) [129][1800/3757] lr: 5.0000e-02 eta: 2 days, 5:18:24 time: 0.4018 data_time: 0.0163 memory: 13431 grad_norm: 2.8230 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6370 loss: 2.6370 2022/08/15 14:05:27 - mmengine - INFO - Epoch(train) [129][1900/3757] lr: 5.0000e-02 eta: 2 days, 5:17:44 time: 0.4042 data_time: 0.0163 memory: 13431 grad_norm: 2.8837 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9676 loss: 2.9676 2022/08/15 14:06:08 - mmengine - INFO - Epoch(train) [129][2000/3757] lr: 5.0000e-02 eta: 2 days, 5:17:04 time: 0.4041 data_time: 0.0153 memory: 13431 grad_norm: 2.9675 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6503 loss: 2.6503 2022/08/15 14:06:49 - mmengine - INFO - Epoch(train) [129][2100/3757] lr: 5.0000e-02 eta: 2 days, 5:16:25 time: 0.4030 data_time: 0.0139 memory: 13431 grad_norm: 2.9007 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6637 loss: 2.6637 2022/08/15 14:06:50 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 14:07:29 - mmengine - INFO - Epoch(train) [129][2200/3757] lr: 5.0000e-02 eta: 2 days, 5:15:45 time: 0.4019 data_time: 0.0157 memory: 13431 grad_norm: 3.0145 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6031 loss: 2.6031 2022/08/15 14:08:10 - mmengine - INFO - Epoch(train) [129][2300/3757] lr: 5.0000e-02 eta: 2 days, 5:15:06 time: 0.4028 data_time: 0.0143 memory: 13431 grad_norm: 2.9014 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5029 loss: 2.5029 2022/08/15 14:08:50 - mmengine - INFO - Epoch(train) [129][2400/3757] lr: 5.0000e-02 eta: 2 days, 5:14:26 time: 0.4017 data_time: 0.0153 memory: 13431 grad_norm: 2.9471 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4219 loss: 2.4219 2022/08/15 14:09:31 - mmengine - INFO - Epoch(train) [129][2500/3757] lr: 5.0000e-02 eta: 2 days, 5:13:46 time: 0.4032 data_time: 0.0147 memory: 13431 grad_norm: 2.8545 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7476 loss: 2.7476 2022/08/15 14:10:12 - mmengine - INFO - Epoch(train) [129][2600/3757] lr: 5.0000e-02 eta: 2 days, 5:13:07 time: 0.4041 data_time: 0.0177 memory: 13431 grad_norm: 3.0653 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6545 loss: 2.6545 2022/08/15 14:10:52 - mmengine - INFO - Epoch(train) [129][2700/3757] lr: 5.0000e-02 eta: 2 days, 5:12:27 time: 0.4023 data_time: 0.0145 memory: 13431 grad_norm: 3.0156 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8570 loss: 2.8570 2022/08/15 14:11:33 - mmengine - INFO - Epoch(train) [129][2800/3757] lr: 5.0000e-02 eta: 2 days, 5:11:47 time: 0.4033 data_time: 0.0147 memory: 13431 grad_norm: 2.9765 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4197 loss: 2.4197 2022/08/15 14:12:13 - mmengine - INFO - Epoch(train) [129][2900/3757] lr: 5.0000e-02 eta: 2 days, 5:11:08 time: 0.4048 data_time: 0.0138 memory: 13431 grad_norm: 3.0889 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.7863 loss: 2.7863 2022/08/15 14:12:54 - mmengine - INFO - Epoch(train) [129][3000/3757] lr: 5.0000e-02 eta: 2 days, 5:10:28 time: 0.4025 data_time: 0.0145 memory: 13431 grad_norm: 2.9923 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6165 loss: 2.6165 2022/08/15 14:13:34 - mmengine - INFO - Epoch(train) [129][3100/3757] lr: 5.0000e-02 eta: 2 days, 5:09:48 time: 0.4032 data_time: 0.0145 memory: 13431 grad_norm: 2.9575 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3160 loss: 2.3160 2022/08/15 14:13:36 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 14:14:15 - mmengine - INFO - Epoch(train) [129][3200/3757] lr: 5.0000e-02 eta: 2 days, 5:09:09 time: 0.4028 data_time: 0.0152 memory: 13431 grad_norm: 2.8962 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5317 loss: 2.5317 2022/08/15 14:14:56 - mmengine - INFO - Epoch(train) [129][3300/3757] lr: 5.0000e-02 eta: 2 days, 5:08:29 time: 0.4023 data_time: 0.0165 memory: 13431 grad_norm: 2.9798 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7059 loss: 2.7059 2022/08/15 14:15:36 - mmengine - INFO - Epoch(train) [129][3400/3757] lr: 5.0000e-02 eta: 2 days, 5:07:49 time: 0.4033 data_time: 0.0148 memory: 13431 grad_norm: 3.0217 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.7909 loss: 2.7909 2022/08/15 14:16:17 - mmengine - INFO - Epoch(train) [129][3500/3757] lr: 5.0000e-02 eta: 2 days, 5:07:10 time: 0.4038 data_time: 0.0150 memory: 13431 grad_norm: 3.0193 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2871 loss: 2.2871 2022/08/15 14:16:57 - mmengine - INFO - Epoch(train) [129][3600/3757] lr: 5.0000e-02 eta: 2 days, 5:06:30 time: 0.3991 data_time: 0.0142 memory: 13431 grad_norm: 3.0493 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.4935 loss: 2.4935 2022/08/15 14:17:38 - mmengine - INFO - Epoch(train) [129][3700/3757] lr: 5.0000e-02 eta: 2 days, 5:05:50 time: 0.4027 data_time: 0.0146 memory: 13431 grad_norm: 3.0699 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6563 loss: 2.6563 2022/08/15 14:18:01 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 14:18:01 - mmengine - INFO - Epoch(train) [129][3757/3757] lr: 5.0000e-02 eta: 2 days, 5:05:35 time: 0.3879 data_time: 0.0145 memory: 13431 grad_norm: 3.0019 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 2.4245 loss: 2.4245 2022/08/15 14:18:43 - mmengine - INFO - Epoch(train) [130][100/3757] lr: 4.9386e-02 eta: 2 days, 5:04:43 time: 0.4026 data_time: 0.0157 memory: 13431 grad_norm: 2.9180 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7248 loss: 2.7248 2022/08/15 14:19:24 - mmengine - INFO - Epoch(train) [130][200/3757] lr: 4.9386e-02 eta: 2 days, 5:04:04 time: 0.4109 data_time: 0.0151 memory: 13431 grad_norm: 2.9182 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3033 loss: 2.3033 2022/08/15 14:20:04 - mmengine - INFO - Epoch(train) [130][300/3757] lr: 4.9386e-02 eta: 2 days, 5:03:24 time: 0.4035 data_time: 0.0149 memory: 13431 grad_norm: 2.8330 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7447 loss: 2.7447 2022/08/15 14:20:23 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 14:20:45 - mmengine - INFO - Epoch(train) [130][400/3757] lr: 4.9386e-02 eta: 2 days, 5:02:44 time: 0.4012 data_time: 0.0144 memory: 13431 grad_norm: 2.9982 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6824 loss: 2.6824 2022/08/15 14:21:26 - mmengine - INFO - Epoch(train) [130][500/3757] lr: 4.9386e-02 eta: 2 days, 5:02:04 time: 0.4035 data_time: 0.0148 memory: 13431 grad_norm: 3.0280 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6880 loss: 2.6880 2022/08/15 14:22:06 - mmengine - INFO - Epoch(train) [130][600/3757] lr: 4.9386e-02 eta: 2 days, 5:01:25 time: 0.4014 data_time: 0.0158 memory: 13431 grad_norm: 2.9488 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8609 loss: 2.8609 2022/08/15 14:22:47 - mmengine - INFO - Epoch(train) [130][700/3757] lr: 4.9386e-02 eta: 2 days, 5:00:45 time: 0.4037 data_time: 0.0158 memory: 13431 grad_norm: 2.9848 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4373 loss: 2.4373 2022/08/15 14:23:27 - mmengine - INFO - Epoch(train) [130][800/3757] lr: 4.9386e-02 eta: 2 days, 5:00:05 time: 0.4044 data_time: 0.0160 memory: 13431 grad_norm: 2.9199 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7673 loss: 2.7673 2022/08/15 14:24:08 - mmengine - INFO - Epoch(train) [130][900/3757] lr: 4.9386e-02 eta: 2 days, 4:59:26 time: 0.4175 data_time: 0.0151 memory: 13431 grad_norm: 2.9241 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5462 loss: 2.5462 2022/08/15 14:24:49 - mmengine - INFO - Epoch(train) [130][1000/3757] lr: 4.9386e-02 eta: 2 days, 4:58:46 time: 0.4109 data_time: 0.0148 memory: 13431 grad_norm: 2.9771 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8966 loss: 2.8966 2022/08/15 14:25:29 - mmengine - INFO - Epoch(train) [130][1100/3757] lr: 4.9386e-02 eta: 2 days, 4:58:07 time: 0.4025 data_time: 0.0145 memory: 13431 grad_norm: 3.0295 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5082 loss: 2.5082 2022/08/15 14:26:10 - mmengine - INFO - Epoch(train) [130][1200/3757] lr: 4.9386e-02 eta: 2 days, 4:57:27 time: 0.4065 data_time: 0.0150 memory: 13431 grad_norm: 2.9420 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6765 loss: 2.6765 2022/08/15 14:26:51 - mmengine - INFO - Epoch(train) [130][1300/3757] lr: 4.9386e-02 eta: 2 days, 4:56:48 time: 0.4017 data_time: 0.0158 memory: 13431 grad_norm: 3.0250 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7510 loss: 2.7510 2022/08/15 14:27:10 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 14:27:31 - mmengine - INFO - Epoch(train) [130][1400/3757] lr: 4.9386e-02 eta: 2 days, 4:56:08 time: 0.4032 data_time: 0.0151 memory: 13431 grad_norm: 3.0325 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6837 loss: 2.6837 2022/08/15 14:28:15 - mmengine - INFO - Epoch(train) [130][1500/3757] lr: 4.9386e-02 eta: 2 days, 4:55:31 time: 0.4770 data_time: 0.0167 memory: 13431 grad_norm: 2.9133 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8343 loss: 2.8343 2022/08/15 14:28:59 - mmengine - INFO - Epoch(train) [130][1600/3757] lr: 4.9386e-02 eta: 2 days, 4:54:55 time: 0.4137 data_time: 0.0154 memory: 13431 grad_norm: 2.9214 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4516 loss: 2.4516 2022/08/15 14:29:40 - mmengine - INFO - Epoch(train) [130][1700/3757] lr: 4.9386e-02 eta: 2 days, 4:54:15 time: 0.4009 data_time: 0.0150 memory: 13431 grad_norm: 3.0430 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6866 loss: 2.6866 2022/08/15 14:30:20 - mmengine - INFO - Epoch(train) [130][1800/3757] lr: 4.9386e-02 eta: 2 days, 4:53:36 time: 0.4027 data_time: 0.0146 memory: 13431 grad_norm: 2.9913 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5691 loss: 2.5691 2022/08/15 14:31:01 - mmengine - INFO - Epoch(train) [130][1900/3757] lr: 4.9386e-02 eta: 2 days, 4:52:56 time: 0.4011 data_time: 0.0146 memory: 13431 grad_norm: 2.9829 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7589 loss: 2.7589 2022/08/15 14:31:42 - mmengine - INFO - Epoch(train) [130][2000/3757] lr: 4.9386e-02 eta: 2 days, 4:52:17 time: 0.4000 data_time: 0.0147 memory: 13431 grad_norm: 3.0127 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4294 loss: 2.4294 2022/08/15 14:32:22 - mmengine - INFO - Epoch(train) [130][2100/3757] lr: 4.9386e-02 eta: 2 days, 4:51:37 time: 0.4015 data_time: 0.0140 memory: 13431 grad_norm: 2.9492 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4812 loss: 2.4812 2022/08/15 14:33:03 - mmengine - INFO - Epoch(train) [130][2200/3757] lr: 4.9386e-02 eta: 2 days, 4:50:57 time: 0.4017 data_time: 0.0154 memory: 13431 grad_norm: 3.1796 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9413 loss: 2.9413 2022/08/15 14:33:44 - mmengine - INFO - Epoch(train) [130][2300/3757] lr: 4.9386e-02 eta: 2 days, 4:50:18 time: 0.4071 data_time: 0.0167 memory: 13431 grad_norm: 2.9387 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4557 loss: 2.4557 2022/08/15 14:34:03 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 14:34:24 - mmengine - INFO - Epoch(train) [130][2400/3757] lr: 4.9386e-02 eta: 2 days, 4:49:38 time: 0.4086 data_time: 0.0141 memory: 13431 grad_norm: 3.0136 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6225 loss: 2.6225 2022/08/15 14:35:05 - mmengine - INFO - Epoch(train) [130][2500/3757] lr: 4.9386e-02 eta: 2 days, 4:48:58 time: 0.4037 data_time: 0.0146 memory: 13431 grad_norm: 2.9810 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.8171 loss: 2.8171 2022/08/15 14:35:45 - mmengine - INFO - Epoch(train) [130][2600/3757] lr: 4.9386e-02 eta: 2 days, 4:48:19 time: 0.4085 data_time: 0.0164 memory: 13431 grad_norm: 3.0822 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6510 loss: 2.6510 2022/08/15 14:36:26 - mmengine - INFO - Epoch(train) [130][2700/3757] lr: 4.9386e-02 eta: 2 days, 4:47:39 time: 0.4007 data_time: 0.0146 memory: 13431 grad_norm: 2.9942 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6024 loss: 2.6024 2022/08/15 14:37:07 - mmengine - INFO - Epoch(train) [130][2800/3757] lr: 4.9386e-02 eta: 2 days, 4:47:00 time: 0.4026 data_time: 0.0150 memory: 13431 grad_norm: 3.0442 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6557 loss: 2.6557 2022/08/15 14:37:47 - mmengine - INFO - Epoch(train) [130][2900/3757] lr: 4.9386e-02 eta: 2 days, 4:46:20 time: 0.4031 data_time: 0.0143 memory: 13431 grad_norm: 2.9099 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5451 loss: 2.5451 2022/08/15 14:38:28 - mmengine - INFO - Epoch(train) [130][3000/3757] lr: 4.9386e-02 eta: 2 days, 4:45:40 time: 0.4120 data_time: 0.0147 memory: 13431 grad_norm: 2.9069 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3604 loss: 2.3604 2022/08/15 14:39:08 - mmengine - INFO - Epoch(train) [130][3100/3757] lr: 4.9386e-02 eta: 2 days, 4:45:00 time: 0.4037 data_time: 0.0152 memory: 13431 grad_norm: 2.9001 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5161 loss: 2.5161 2022/08/15 14:39:49 - mmengine - INFO - Epoch(train) [130][3200/3757] lr: 4.9386e-02 eta: 2 days, 4:44:21 time: 0.4062 data_time: 0.0147 memory: 13431 grad_norm: 3.0968 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.7087 loss: 2.7087 2022/08/15 14:40:30 - mmengine - INFO - Epoch(train) [130][3300/3757] lr: 4.9386e-02 eta: 2 days, 4:43:41 time: 0.4019 data_time: 0.0143 memory: 13431 grad_norm: 3.0338 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6189 loss: 2.6189 2022/08/15 14:40:49 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 14:41:10 - mmengine - INFO - Epoch(train) [130][3400/3757] lr: 4.9386e-02 eta: 2 days, 4:43:02 time: 0.4056 data_time: 0.0154 memory: 13431 grad_norm: 2.9841 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5952 loss: 2.5952 2022/08/15 14:41:51 - mmengine - INFO - Epoch(train) [130][3500/3757] lr: 4.9386e-02 eta: 2 days, 4:42:22 time: 0.4039 data_time: 0.0152 memory: 13431 grad_norm: 3.0084 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6472 loss: 2.6472 2022/08/15 14:42:31 - mmengine - INFO - Epoch(train) [130][3600/3757] lr: 4.9386e-02 eta: 2 days, 4:41:42 time: 0.4013 data_time: 0.0146 memory: 13431 grad_norm: 2.9631 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5391 loss: 2.5391 2022/08/15 14:43:12 - mmengine - INFO - Epoch(train) [130][3700/3757] lr: 4.9386e-02 eta: 2 days, 4:41:02 time: 0.4056 data_time: 0.0156 memory: 13431 grad_norm: 2.9409 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8875 loss: 2.8875 2022/08/15 14:43:35 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 14:43:35 - mmengine - INFO - Epoch(train) [130][3757/3757] lr: 4.9386e-02 eta: 2 days, 4:40:47 time: 0.3920 data_time: 0.0137 memory: 13431 grad_norm: 3.0763 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 2.6259 loss: 2.6259 2022/08/15 14:43:58 - mmengine - INFO - Epoch(val) [130][100/310] eta: 0:00:44 time: 0.2126 data_time: 0.0801 memory: 1974 2022/08/15 14:44:19 - mmengine - INFO - Epoch(val) [130][200/310] eta: 0:00:21 time: 0.1949 data_time: 0.0658 memory: 1974 2022/08/15 14:44:40 - mmengine - INFO - Epoch(val) [130][300/310] eta: 0:00:02 time: 0.2080 data_time: 0.0805 memory: 1974 2022/08/15 14:44:44 - mmengine - INFO - Epoch(val) [130][310/310] acc/top1: 0.4724 acc/top5: 0.7371 acc/mean1: 0.4724 2022/08/15 14:45:27 - mmengine - INFO - Epoch(train) [131][100/3757] lr: 4.8773e-02 eta: 2 days, 4:39:56 time: 0.4011 data_time: 0.0145 memory: 13431 grad_norm: 3.0624 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5812 loss: 2.5812 2022/08/15 14:46:08 - mmengine - INFO - Epoch(train) [131][200/3757] lr: 4.8773e-02 eta: 2 days, 4:39:16 time: 0.4098 data_time: 0.0144 memory: 13431 grad_norm: 2.9894 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5434 loss: 2.5434 2022/08/15 14:46:48 - mmengine - INFO - Epoch(train) [131][300/3757] lr: 4.8773e-02 eta: 2 days, 4:38:36 time: 0.4012 data_time: 0.0152 memory: 13431 grad_norm: 2.9689 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6064 loss: 2.6064 2022/08/15 14:47:29 - mmengine - INFO - Epoch(train) [131][400/3757] lr: 4.8773e-02 eta: 2 days, 4:37:57 time: 0.4030 data_time: 0.0155 memory: 13431 grad_norm: 3.0789 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2605 loss: 2.2605 2022/08/15 14:48:09 - mmengine - INFO - Epoch(train) [131][500/3757] lr: 4.8773e-02 eta: 2 days, 4:37:17 time: 0.4056 data_time: 0.0143 memory: 13431 grad_norm: 3.0910 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6776 loss: 2.6776 2022/08/15 14:48:46 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 14:48:50 - mmengine - INFO - Epoch(train) [131][600/3757] lr: 4.8773e-02 eta: 2 days, 4:36:37 time: 0.4056 data_time: 0.0151 memory: 13431 grad_norm: 3.0432 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4394 loss: 2.4394 2022/08/15 14:49:31 - mmengine - INFO - Epoch(train) [131][700/3757] lr: 4.8773e-02 eta: 2 days, 4:35:58 time: 0.4027 data_time: 0.0147 memory: 13431 grad_norm: 3.0896 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4368 loss: 2.4368 2022/08/15 14:50:11 - mmengine - INFO - Epoch(train) [131][800/3757] lr: 4.8773e-02 eta: 2 days, 4:35:18 time: 0.4045 data_time: 0.0158 memory: 13431 grad_norm: 3.0071 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4871 loss: 2.4871 2022/08/15 14:50:52 - mmengine - INFO - Epoch(train) [131][900/3757] lr: 4.8773e-02 eta: 2 days, 4:34:39 time: 0.4144 data_time: 0.0162 memory: 13431 grad_norm: 3.0564 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8774 loss: 2.8774 2022/08/15 14:51:33 - mmengine - INFO - Epoch(train) [131][1000/3757] lr: 4.8773e-02 eta: 2 days, 4:33:59 time: 0.4030 data_time: 0.0144 memory: 13431 grad_norm: 2.9553 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6788 loss: 2.6788 2022/08/15 14:52:13 - mmengine - INFO - Epoch(train) [131][1100/3757] lr: 4.8773e-02 eta: 2 days, 4:33:19 time: 0.4018 data_time: 0.0152 memory: 13431 grad_norm: 2.8943 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5893 loss: 2.5893 2022/08/15 14:52:54 - mmengine - INFO - Epoch(train) [131][1200/3757] lr: 4.8773e-02 eta: 2 days, 4:32:40 time: 0.4018 data_time: 0.0148 memory: 13431 grad_norm: 3.0567 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3176 loss: 2.3176 2022/08/15 14:53:34 - mmengine - INFO - Epoch(train) [131][1300/3757] lr: 4.8773e-02 eta: 2 days, 4:32:00 time: 0.4091 data_time: 0.0143 memory: 13431 grad_norm: 3.0495 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5489 loss: 2.5489 2022/08/15 14:54:15 - mmengine - INFO - Epoch(train) [131][1400/3757] lr: 4.8773e-02 eta: 2 days, 4:31:20 time: 0.3986 data_time: 0.0142 memory: 13431 grad_norm: 3.0234 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6013 loss: 2.6013 2022/08/15 14:54:56 - mmengine - INFO - Epoch(train) [131][1500/3757] lr: 4.8773e-02 eta: 2 days, 4:30:41 time: 0.4013 data_time: 0.0152 memory: 13431 grad_norm: 3.0433 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4634 loss: 2.4634 2022/08/15 14:55:32 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 14:55:36 - mmengine - INFO - Epoch(train) [131][1600/3757] lr: 4.8773e-02 eta: 2 days, 4:30:01 time: 0.4111 data_time: 0.0150 memory: 13431 grad_norm: 3.0884 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4756 loss: 2.4756 2022/08/15 14:56:17 - mmengine - INFO - Epoch(train) [131][1700/3757] lr: 4.8773e-02 eta: 2 days, 4:29:21 time: 0.4008 data_time: 0.0140 memory: 13431 grad_norm: 2.9853 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7185 loss: 2.7185 2022/08/15 14:56:58 - mmengine - INFO - Epoch(train) [131][1800/3757] lr: 4.8773e-02 eta: 2 days, 4:28:42 time: 0.4069 data_time: 0.0151 memory: 13431 grad_norm: 3.0173 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3153 loss: 2.3153 2022/08/15 14:57:38 - mmengine - INFO - Epoch(train) [131][1900/3757] lr: 4.8773e-02 eta: 2 days, 4:28:02 time: 0.4043 data_time: 0.0147 memory: 13431 grad_norm: 3.0567 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8649 loss: 2.8649 2022/08/15 14:58:19 - mmengine - INFO - Epoch(train) [131][2000/3757] lr: 4.8773e-02 eta: 2 days, 4:27:23 time: 0.4093 data_time: 0.0147 memory: 13431 grad_norm: 2.9839 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6182 loss: 2.6182 2022/08/15 14:58:59 - mmengine - INFO - Epoch(train) [131][2100/3757] lr: 4.8773e-02 eta: 2 days, 4:26:43 time: 0.4037 data_time: 0.0147 memory: 13431 grad_norm: 2.9813 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.7697 loss: 2.7697 2022/08/15 14:59:40 - mmengine - INFO - Epoch(train) [131][2200/3757] lr: 4.8773e-02 eta: 2 days, 4:26:03 time: 0.4075 data_time: 0.0142 memory: 13431 grad_norm: 2.9536 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5687 loss: 2.5687 2022/08/15 15:00:21 - mmengine - INFO - Epoch(train) [131][2300/3757] lr: 4.8773e-02 eta: 2 days, 4:25:24 time: 0.4138 data_time: 0.0149 memory: 13431 grad_norm: 2.9799 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5940 loss: 2.5940 2022/08/15 15:01:01 - mmengine - INFO - Epoch(train) [131][2400/3757] lr: 4.8773e-02 eta: 2 days, 4:24:44 time: 0.4017 data_time: 0.0148 memory: 13431 grad_norm: 3.0119 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6140 loss: 2.6140 2022/08/15 15:01:42 - mmengine - INFO - Epoch(train) [131][2500/3757] lr: 4.8773e-02 eta: 2 days, 4:24:04 time: 0.3996 data_time: 0.0145 memory: 13431 grad_norm: 2.9486 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.3605 loss: 2.3605 2022/08/15 15:02:18 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 15:02:22 - mmengine - INFO - Epoch(train) [131][2600/3757] lr: 4.8773e-02 eta: 2 days, 4:23:24 time: 0.4029 data_time: 0.0144 memory: 13431 grad_norm: 2.9381 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4532 loss: 2.4532 2022/08/15 15:03:28 - mmengine - INFO - Epoch(train) [131][2700/3757] lr: 4.8773e-02 eta: 2 days, 4:23:08 time: 0.4074 data_time: 0.0149 memory: 13431 grad_norm: 2.9176 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6070 loss: 2.6070 2022/08/15 15:04:08 - mmengine - INFO - Epoch(train) [131][2800/3757] lr: 4.8773e-02 eta: 2 days, 4:22:29 time: 0.4038 data_time: 0.0155 memory: 13431 grad_norm: 3.0348 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3609 loss: 2.3609 2022/08/15 15:04:49 - mmengine - INFO - Epoch(train) [131][2900/3757] lr: 4.8773e-02 eta: 2 days, 4:21:49 time: 0.4082 data_time: 0.0145 memory: 13431 grad_norm: 2.9872 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6220 loss: 2.6220 2022/08/15 15:05:30 - mmengine - INFO - Epoch(train) [131][3000/3757] lr: 4.8773e-02 eta: 2 days, 4:21:10 time: 0.4052 data_time: 0.0182 memory: 13431 grad_norm: 3.1140 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9210 loss: 2.9210 2022/08/15 15:06:11 - mmengine - INFO - Epoch(train) [131][3100/3757] lr: 4.8773e-02 eta: 2 days, 4:20:30 time: 0.4025 data_time: 0.0178 memory: 13431 grad_norm: 3.0396 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7249 loss: 2.7249 2022/08/15 15:06:52 - mmengine - INFO - Epoch(train) [131][3200/3757] lr: 4.8773e-02 eta: 2 days, 4:19:51 time: 0.4087 data_time: 0.0155 memory: 13431 grad_norm: 2.9879 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8477 loss: 2.8477 2022/08/15 15:07:32 - mmengine - INFO - Epoch(train) [131][3300/3757] lr: 4.8773e-02 eta: 2 days, 4:19:11 time: 0.4034 data_time: 0.0154 memory: 13431 grad_norm: 3.0293 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.5170 loss: 2.5170 2022/08/15 15:08:13 - mmengine - INFO - Epoch(train) [131][3400/3757] lr: 4.8773e-02 eta: 2 days, 4:18:31 time: 0.4053 data_time: 0.0170 memory: 13431 grad_norm: 2.9143 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5390 loss: 2.5390 2022/08/15 15:08:53 - mmengine - INFO - Epoch(train) [131][3500/3757] lr: 4.8773e-02 eta: 2 days, 4:17:51 time: 0.4032 data_time: 0.0169 memory: 13431 grad_norm: 2.9611 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1737 loss: 2.1737 2022/08/15 15:09:30 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 15:09:34 - mmengine - INFO - Epoch(train) [131][3600/3757] lr: 4.8773e-02 eta: 2 days, 4:17:12 time: 0.4023 data_time: 0.0159 memory: 13431 grad_norm: 3.0064 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3074 loss: 2.3074 2022/08/15 15:10:14 - mmengine - INFO - Epoch(train) [131][3700/3757] lr: 4.8773e-02 eta: 2 days, 4:16:32 time: 0.4068 data_time: 0.0163 memory: 13431 grad_norm: 2.9536 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3027 loss: 2.3027 2022/08/15 15:10:37 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 15:10:37 - mmengine - INFO - Epoch(train) [131][3757/3757] lr: 4.8773e-02 eta: 2 days, 4:16:16 time: 0.3900 data_time: 0.0134 memory: 13431 grad_norm: 2.9959 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 2.7844 loss: 2.7844 2022/08/15 15:11:20 - mmengine - INFO - Epoch(train) [132][100/3757] lr: 4.8160e-02 eta: 2 days, 4:15:26 time: 0.4031 data_time: 0.0161 memory: 13431 grad_norm: 2.9763 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5799 loss: 2.5799 2022/08/15 15:12:01 - mmengine - INFO - Epoch(train) [132][200/3757] lr: 4.8160e-02 eta: 2 days, 4:14:46 time: 0.4063 data_time: 0.0160 memory: 13431 grad_norm: 3.0545 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3239 loss: 2.3239 2022/08/15 15:12:41 - mmengine - INFO - Epoch(train) [132][300/3757] lr: 4.8160e-02 eta: 2 days, 4:14:06 time: 0.4033 data_time: 0.0144 memory: 13431 grad_norm: 3.0037 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5092 loss: 2.5092 2022/08/15 15:13:22 - mmengine - INFO - Epoch(train) [132][400/3757] lr: 4.8160e-02 eta: 2 days, 4:13:27 time: 0.4043 data_time: 0.0147 memory: 13431 grad_norm: 3.0181 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4332 loss: 2.4332 2022/08/15 15:14:03 - mmengine - INFO - Epoch(train) [132][500/3757] lr: 4.8160e-02 eta: 2 days, 4:12:47 time: 0.4064 data_time: 0.0144 memory: 13431 grad_norm: 2.9513 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5482 loss: 2.5482 2022/08/15 15:14:43 - mmengine - INFO - Epoch(train) [132][600/3757] lr: 4.8160e-02 eta: 2 days, 4:12:07 time: 0.4062 data_time: 0.0152 memory: 13431 grad_norm: 3.0876 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3731 loss: 2.3731 2022/08/15 15:15:24 - mmengine - INFO - Epoch(train) [132][700/3757] lr: 4.8160e-02 eta: 2 days, 4:11:28 time: 0.4035 data_time: 0.0143 memory: 13431 grad_norm: 3.0989 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8211 loss: 2.8211 2022/08/15 15:16:05 - mmengine - INFO - Epoch(train) [132][800/3757] lr: 4.8160e-02 eta: 2 days, 4:10:48 time: 0.4049 data_time: 0.0158 memory: 13431 grad_norm: 3.0741 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7006 loss: 2.7006 2022/08/15 15:16:18 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 15:16:45 - mmengine - INFO - Epoch(train) [132][900/3757] lr: 4.8160e-02 eta: 2 days, 4:10:08 time: 0.4043 data_time: 0.0164 memory: 13431 grad_norm: 3.0840 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4866 loss: 2.4866 2022/08/15 15:17:26 - mmengine - INFO - Epoch(train) [132][1000/3757] lr: 4.8160e-02 eta: 2 days, 4:09:29 time: 0.4021 data_time: 0.0142 memory: 13431 grad_norm: 2.9446 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4519 loss: 2.4519 2022/08/15 15:18:06 - mmengine - INFO - Epoch(train) [132][1100/3757] lr: 4.8160e-02 eta: 2 days, 4:08:49 time: 0.4017 data_time: 0.0151 memory: 13431 grad_norm: 3.0317 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5492 loss: 2.5492 2022/08/15 15:18:47 - mmengine - INFO - Epoch(train) [132][1200/3757] lr: 4.8160e-02 eta: 2 days, 4:08:09 time: 0.4022 data_time: 0.0177 memory: 13431 grad_norm: 3.0830 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6608 loss: 2.6608 2022/08/15 15:19:28 - mmengine - INFO - Epoch(train) [132][1300/3757] lr: 4.8160e-02 eta: 2 days, 4:07:30 time: 0.4081 data_time: 0.0149 memory: 13431 grad_norm: 3.1180 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1579 loss: 2.1579 2022/08/15 15:20:09 - mmengine - INFO - Epoch(train) [132][1400/3757] lr: 4.8160e-02 eta: 2 days, 4:06:50 time: 0.4034 data_time: 0.0147 memory: 13431 grad_norm: 2.8944 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7475 loss: 2.7475 2022/08/15 15:20:49 - mmengine - INFO - Epoch(train) [132][1500/3757] lr: 4.8160e-02 eta: 2 days, 4:06:11 time: 0.4025 data_time: 0.0149 memory: 13431 grad_norm: 3.0033 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5362 loss: 2.5362 2022/08/15 15:21:30 - mmengine - INFO - Epoch(train) [132][1600/3757] lr: 4.8160e-02 eta: 2 days, 4:05:31 time: 0.4026 data_time: 0.0151 memory: 13431 grad_norm: 3.1199 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5187 loss: 2.5187 2022/08/15 15:22:10 - mmengine - INFO - Epoch(train) [132][1700/3757] lr: 4.8160e-02 eta: 2 days, 4:04:51 time: 0.4027 data_time: 0.0152 memory: 13431 grad_norm: 3.0800 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5657 loss: 2.5657 2022/08/15 15:22:51 - mmengine - INFO - Epoch(train) [132][1800/3757] lr: 4.8160e-02 eta: 2 days, 4:04:11 time: 0.4040 data_time: 0.0164 memory: 13431 grad_norm: 3.0869 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.6487 loss: 2.6487 2022/08/15 15:23:04 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 15:23:32 - mmengine - INFO - Epoch(train) [132][1900/3757] lr: 4.8160e-02 eta: 2 days, 4:03:32 time: 0.4128 data_time: 0.0142 memory: 13431 grad_norm: 3.0462 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0149 loss: 3.0149 2022/08/15 15:24:22 - mmengine - INFO - Epoch(train) [132][2000/3757] lr: 4.8160e-02 eta: 2 days, 4:03:01 time: 0.8975 data_time: 0.0232 memory: 13431 grad_norm: 2.9870 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6897 loss: 2.6897 2022/08/15 15:25:04 - mmengine - INFO - Epoch(train) [132][2100/3757] lr: 4.8160e-02 eta: 2 days, 4:02:23 time: 0.4024 data_time: 0.0165 memory: 13431 grad_norm: 3.0215 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7884 loss: 2.7884 2022/08/15 15:25:44 - mmengine - INFO - Epoch(train) [132][2200/3757] lr: 4.8160e-02 eta: 2 days, 4:01:43 time: 0.4052 data_time: 0.0153 memory: 13431 grad_norm: 2.9594 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5964 loss: 2.5964 2022/08/15 15:26:25 - mmengine - INFO - Epoch(train) [132][2300/3757] lr: 4.8160e-02 eta: 2 days, 4:01:03 time: 0.4053 data_time: 0.0162 memory: 13431 grad_norm: 2.9004 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5942 loss: 2.5942 2022/08/15 15:27:06 - mmengine - INFO - Epoch(train) [132][2400/3757] lr: 4.8160e-02 eta: 2 days, 4:00:24 time: 0.4016 data_time: 0.0181 memory: 13431 grad_norm: 3.0640 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.3148 loss: 3.3148 2022/08/15 15:27:47 - mmengine - INFO - Epoch(train) [132][2500/3757] lr: 4.8160e-02 eta: 2 days, 3:59:44 time: 0.4010 data_time: 0.0153 memory: 13431 grad_norm: 3.0546 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5540 loss: 2.5540 2022/08/15 15:28:27 - mmengine - INFO - Epoch(train) [132][2600/3757] lr: 4.8160e-02 eta: 2 days, 3:59:05 time: 0.4053 data_time: 0.0139 memory: 13431 grad_norm: 3.0051 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.4094 loss: 2.4094 2022/08/15 15:29:07 - mmengine - INFO - Epoch(train) [132][2700/3757] lr: 4.8160e-02 eta: 2 days, 3:58:25 time: 0.4016 data_time: 0.0150 memory: 13431 grad_norm: 3.0327 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8531 loss: 2.8531 2022/08/15 15:29:48 - mmengine - INFO - Epoch(train) [132][2800/3757] lr: 4.8160e-02 eta: 2 days, 3:57:45 time: 0.4079 data_time: 0.0144 memory: 13431 grad_norm: 3.0676 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4682 loss: 2.4682 2022/08/15 15:30:02 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 15:30:29 - mmengine - INFO - Epoch(train) [132][2900/3757] lr: 4.8160e-02 eta: 2 days, 3:57:05 time: 0.4015 data_time: 0.0146 memory: 13431 grad_norm: 3.1300 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5110 loss: 2.5110 2022/08/15 15:31:09 - mmengine - INFO - Epoch(train) [132][3000/3757] lr: 4.8160e-02 eta: 2 days, 3:56:26 time: 0.4026 data_time: 0.0151 memory: 13431 grad_norm: 3.0780 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2407 loss: 2.2407 2022/08/15 15:31:50 - mmengine - INFO - Epoch(train) [132][3100/3757] lr: 4.8160e-02 eta: 2 days, 3:55:46 time: 0.4016 data_time: 0.0167 memory: 13431 grad_norm: 3.0629 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0004 loss: 3.0004 2022/08/15 15:32:30 - mmengine - INFO - Epoch(train) [132][3200/3757] lr: 4.8160e-02 eta: 2 days, 3:55:06 time: 0.4025 data_time: 0.0159 memory: 13431 grad_norm: 3.0311 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.5022 loss: 2.5022 2022/08/15 15:33:11 - mmengine - INFO - Epoch(train) [132][3300/3757] lr: 4.8160e-02 eta: 2 days, 3:54:26 time: 0.4105 data_time: 0.0156 memory: 13431 grad_norm: 3.0994 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4563 loss: 2.4563 2022/08/15 15:33:51 - mmengine - INFO - Epoch(train) [132][3400/3757] lr: 4.8160e-02 eta: 2 days, 3:53:46 time: 0.4031 data_time: 0.0163 memory: 13431 grad_norm: 3.0389 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7555 loss: 2.7555 2022/08/15 15:34:32 - mmengine - INFO - Epoch(train) [132][3500/3757] lr: 4.8160e-02 eta: 2 days, 3:53:07 time: 0.4037 data_time: 0.0158 memory: 13431 grad_norm: 3.0566 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6191 loss: 2.6191 2022/08/15 15:35:13 - mmengine - INFO - Epoch(train) [132][3600/3757] lr: 4.8160e-02 eta: 2 days, 3:52:27 time: 0.4015 data_time: 0.0146 memory: 13431 grad_norm: 3.0583 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4429 loss: 2.4429 2022/08/15 15:35:53 - mmengine - INFO - Epoch(train) [132][3700/3757] lr: 4.8160e-02 eta: 2 days, 3:51:48 time: 0.4031 data_time: 0.0158 memory: 13431 grad_norm: 3.0236 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6861 loss: 2.6861 2022/08/15 15:36:16 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 15:36:16 - mmengine - INFO - Epoch(train) [132][3757/3757] lr: 4.8160e-02 eta: 2 days, 3:51:32 time: 0.3889 data_time: 0.0130 memory: 13431 grad_norm: 3.0126 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.6976 loss: 2.6976 2022/08/15 15:36:16 - mmengine - INFO - Saving checkpoint at 132 epochs 2022/08/15 15:36:55 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 15:37:04 - mmengine - INFO - Epoch(train) [133][100/3757] lr: 4.7547e-02 eta: 2 days, 3:50:40 time: 0.4022 data_time: 0.0151 memory: 13431 grad_norm: 3.0128 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4672 loss: 2.4672 2022/08/15 15:37:45 - mmengine - INFO - Epoch(train) [133][200/3757] lr: 4.7547e-02 eta: 2 days, 3:50:01 time: 0.4112 data_time: 0.0148 memory: 13431 grad_norm: 3.0773 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5832 loss: 2.5832 2022/08/15 15:38:26 - mmengine - INFO - Epoch(train) [133][300/3757] lr: 4.7547e-02 eta: 2 days, 3:49:21 time: 0.4013 data_time: 0.0140 memory: 13431 grad_norm: 3.0009 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5886 loss: 2.5886 2022/08/15 15:39:06 - mmengine - INFO - Epoch(train) [133][400/3757] lr: 4.7547e-02 eta: 2 days, 3:48:41 time: 0.4090 data_time: 0.0144 memory: 13431 grad_norm: 3.0200 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4894 loss: 2.4894 2022/08/15 15:39:47 - mmengine - INFO - Epoch(train) [133][500/3757] lr: 4.7547e-02 eta: 2 days, 3:48:02 time: 0.4014 data_time: 0.0146 memory: 13431 grad_norm: 3.0320 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7890 loss: 2.7890 2022/08/15 15:40:28 - mmengine - INFO - Epoch(train) [133][600/3757] lr: 4.7547e-02 eta: 2 days, 3:47:22 time: 0.4031 data_time: 0.0148 memory: 13431 grad_norm: 3.0847 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9194 loss: 2.9194 2022/08/15 15:41:08 - mmengine - INFO - Epoch(train) [133][700/3757] lr: 4.7547e-02 eta: 2 days, 3:46:42 time: 0.4030 data_time: 0.0152 memory: 13431 grad_norm: 3.1255 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6134 loss: 2.6134 2022/08/15 15:41:49 - mmengine - INFO - Epoch(train) [133][800/3757] lr: 4.7547e-02 eta: 2 days, 3:46:02 time: 0.4033 data_time: 0.0147 memory: 13431 grad_norm: 3.1142 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5558 loss: 2.5558 2022/08/15 15:42:30 - mmengine - INFO - Epoch(train) [133][900/3757] lr: 4.7547e-02 eta: 2 days, 3:45:23 time: 0.4010 data_time: 0.0148 memory: 13431 grad_norm: 3.0117 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4624 loss: 2.4624 2022/08/15 15:43:10 - mmengine - INFO - Epoch(train) [133][1000/3757] lr: 4.7547e-02 eta: 2 days, 3:44:43 time: 0.4032 data_time: 0.0146 memory: 13431 grad_norm: 2.9867 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6689 loss: 2.6689 2022/08/15 15:43:41 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 15:43:51 - mmengine - INFO - Epoch(train) [133][1100/3757] lr: 4.7547e-02 eta: 2 days, 3:44:04 time: 0.4039 data_time: 0.0166 memory: 13431 grad_norm: 3.0076 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6372 loss: 2.6372 2022/08/15 15:44:32 - mmengine - INFO - Epoch(train) [133][1200/3757] lr: 4.7547e-02 eta: 2 days, 3:43:24 time: 0.4019 data_time: 0.0155 memory: 13431 grad_norm: 3.0811 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.4505 loss: 2.4505 2022/08/15 15:45:12 - mmengine - INFO - Epoch(train) [133][1300/3757] lr: 4.7547e-02 eta: 2 days, 3:42:44 time: 0.4012 data_time: 0.0142 memory: 13431 grad_norm: 3.0489 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4278 loss: 2.4278 2022/08/15 15:45:53 - mmengine - INFO - Epoch(train) [133][1400/3757] lr: 4.7547e-02 eta: 2 days, 3:42:05 time: 0.4046 data_time: 0.0154 memory: 13431 grad_norm: 3.0591 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6456 loss: 2.6456 2022/08/15 15:46:34 - mmengine - INFO - Epoch(train) [133][1500/3757] lr: 4.7547e-02 eta: 2 days, 3:41:25 time: 0.4019 data_time: 0.0147 memory: 13431 grad_norm: 3.0243 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8521 loss: 2.8521 2022/08/15 15:47:14 - mmengine - INFO - Epoch(train) [133][1600/3757] lr: 4.7547e-02 eta: 2 days, 3:40:46 time: 0.4084 data_time: 0.0163 memory: 13431 grad_norm: 2.9030 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5995 loss: 2.5995 2022/08/15 15:47:55 - mmengine - INFO - Epoch(train) [133][1700/3757] lr: 4.7547e-02 eta: 2 days, 3:40:06 time: 0.4014 data_time: 0.0146 memory: 13431 grad_norm: 3.0135 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6955 loss: 2.6955 2022/08/15 15:48:36 - mmengine - INFO - Epoch(train) [133][1800/3757] lr: 4.7547e-02 eta: 2 days, 3:39:26 time: 0.4028 data_time: 0.0157 memory: 13431 grad_norm: 3.0107 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6366 loss: 2.6366 2022/08/15 15:49:52 - mmengine - INFO - Epoch(train) [133][1900/3757] lr: 4.7547e-02 eta: 2 days, 3:39:20 time: 0.4051 data_time: 0.0162 memory: 13431 grad_norm: 3.0270 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5823 loss: 2.5823 2022/08/15 15:50:33 - mmengine - INFO - Epoch(train) [133][2000/3757] lr: 4.7547e-02 eta: 2 days, 3:38:41 time: 0.4045 data_time: 0.0149 memory: 13431 grad_norm: 2.9655 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5525 loss: 2.5525 2022/08/15 15:51:04 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 15:51:13 - mmengine - INFO - Epoch(train) [133][2100/3757] lr: 4.7547e-02 eta: 2 days, 3:38:01 time: 0.4036 data_time: 0.0153 memory: 13431 grad_norm: 3.0049 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4973 loss: 2.4973 2022/08/15 15:51:55 - mmengine - INFO - Epoch(train) [133][2200/3757] lr: 4.7547e-02 eta: 2 days, 3:37:21 time: 0.4011 data_time: 0.0145 memory: 13431 grad_norm: 3.0851 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4321 loss: 2.4321 2022/08/15 15:52:36 - mmengine - INFO - Epoch(train) [133][2300/3757] lr: 4.7547e-02 eta: 2 days, 3:36:42 time: 0.4037 data_time: 0.0148 memory: 13431 grad_norm: 3.0655 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3861 loss: 2.3861 2022/08/15 15:53:16 - mmengine - INFO - Epoch(train) [133][2400/3757] lr: 4.7547e-02 eta: 2 days, 3:36:02 time: 0.4030 data_time: 0.0153 memory: 13431 grad_norm: 3.0497 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7866 loss: 2.7866 2022/08/15 15:53:57 - mmengine - INFO - Epoch(train) [133][2500/3757] lr: 4.7547e-02 eta: 2 days, 3:35:23 time: 0.4037 data_time: 0.0144 memory: 13431 grad_norm: 3.0315 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5987 loss: 2.5987 2022/08/15 15:54:38 - mmengine - INFO - Epoch(train) [133][2600/3757] lr: 4.7547e-02 eta: 2 days, 3:34:43 time: 0.4008 data_time: 0.0146 memory: 13431 grad_norm: 3.0536 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4512 loss: 2.4512 2022/08/15 15:55:18 - mmengine - INFO - Epoch(train) [133][2700/3757] lr: 4.7547e-02 eta: 2 days, 3:34:04 time: 0.4024 data_time: 0.0149 memory: 13431 grad_norm: 3.0491 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5750 loss: 2.5750 2022/08/15 15:55:59 - mmengine - INFO - Epoch(train) [133][2800/3757] lr: 4.7547e-02 eta: 2 days, 3:33:24 time: 0.4021 data_time: 0.0158 memory: 13431 grad_norm: 2.9818 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4735 loss: 2.4735 2022/08/15 15:56:40 - mmengine - INFO - Epoch(train) [133][2900/3757] lr: 4.7547e-02 eta: 2 days, 3:32:44 time: 0.4025 data_time: 0.0149 memory: 13431 grad_norm: 3.0015 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5822 loss: 2.5822 2022/08/15 15:57:21 - mmengine - INFO - Epoch(train) [133][3000/3757] lr: 4.7547e-02 eta: 2 days, 3:32:05 time: 0.4165 data_time: 0.0148 memory: 13431 grad_norm: 2.9096 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5695 loss: 2.5695 2022/08/15 15:57:51 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 15:58:01 - mmengine - INFO - Epoch(train) [133][3100/3757] lr: 4.7547e-02 eta: 2 days, 3:31:25 time: 0.4019 data_time: 0.0144 memory: 13431 grad_norm: 3.0523 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5972 loss: 2.5972 2022/08/15 15:58:42 - mmengine - INFO - Epoch(train) [133][3200/3757] lr: 4.7547e-02 eta: 2 days, 3:30:45 time: 0.4115 data_time: 0.0142 memory: 13431 grad_norm: 2.8423 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5773 loss: 2.5773 2022/08/15 15:59:23 - mmengine - INFO - Epoch(train) [133][3300/3757] lr: 4.7547e-02 eta: 2 days, 3:30:06 time: 0.4043 data_time: 0.0163 memory: 13431 grad_norm: 3.0914 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9736 loss: 2.9736 2022/08/15 16:00:03 - mmengine - INFO - Epoch(train) [133][3400/3757] lr: 4.7547e-02 eta: 2 days, 3:29:26 time: 0.4009 data_time: 0.0154 memory: 13431 grad_norm: 3.0010 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5129 loss: 2.5129 2022/08/15 16:00:43 - mmengine - INFO - Epoch(train) [133][3500/3757] lr: 4.7547e-02 eta: 2 days, 3:28:46 time: 0.4031 data_time: 0.0172 memory: 13431 grad_norm: 3.0414 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5038 loss: 2.5038 2022/08/15 16:01:24 - mmengine - INFO - Epoch(train) [133][3600/3757] lr: 4.7547e-02 eta: 2 days, 3:28:06 time: 0.4018 data_time: 0.0149 memory: 13431 grad_norm: 3.0545 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6033 loss: 2.6033 2022/08/15 16:02:05 - mmengine - INFO - Epoch(train) [133][3700/3757] lr: 4.7547e-02 eta: 2 days, 3:27:27 time: 0.4018 data_time: 0.0148 memory: 13431 grad_norm: 3.0463 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8610 loss: 2.8610 2022/08/15 16:02:28 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 16:02:28 - mmengine - INFO - Epoch(train) [133][3757/3757] lr: 4.7547e-02 eta: 2 days, 3:27:11 time: 0.3877 data_time: 0.0139 memory: 13431 grad_norm: 3.1274 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 2.5118 loss: 2.5118 2022/08/15 16:03:10 - mmengine - INFO - Epoch(train) [134][100/3757] lr: 4.6934e-02 eta: 2 days, 3:26:20 time: 0.4023 data_time: 0.0146 memory: 13431 grad_norm: 3.0725 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7303 loss: 2.7303 2022/08/15 16:03:51 - mmengine - INFO - Epoch(train) [134][200/3757] lr: 4.6934e-02 eta: 2 days, 3:25:40 time: 0.4110 data_time: 0.0147 memory: 13431 grad_norm: 3.0571 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4970 loss: 2.4970 2022/08/15 16:04:32 - mmengine - INFO - Epoch(train) [134][300/3757] lr: 4.6934e-02 eta: 2 days, 3:25:00 time: 0.4026 data_time: 0.0143 memory: 13431 grad_norm: 3.0650 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4694 loss: 2.4694 2022/08/15 16:04:39 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 16:05:12 - mmengine - INFO - Epoch(train) [134][400/3757] lr: 4.6934e-02 eta: 2 days, 3:24:21 time: 0.4046 data_time: 0.0150 memory: 13431 grad_norm: 3.0034 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3709 loss: 2.3709 2022/08/15 16:05:53 - mmengine - INFO - Epoch(train) [134][500/3757] lr: 4.6934e-02 eta: 2 days, 3:23:41 time: 0.4040 data_time: 0.0152 memory: 13431 grad_norm: 3.0185 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6693 loss: 2.6693 2022/08/15 16:06:33 - mmengine - INFO - Epoch(train) [134][600/3757] lr: 4.6934e-02 eta: 2 days, 3:23:01 time: 0.4073 data_time: 0.0151 memory: 13431 grad_norm: 3.0690 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4500 loss: 2.4500 2022/08/15 16:07:14 - mmengine - INFO - Epoch(train) [134][700/3757] lr: 4.6934e-02 eta: 2 days, 3:22:22 time: 0.4109 data_time: 0.0157 memory: 13431 grad_norm: 3.1330 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8498 loss: 2.8498 2022/08/15 16:07:55 - mmengine - INFO - Epoch(train) [134][800/3757] lr: 4.6934e-02 eta: 2 days, 3:21:42 time: 0.4058 data_time: 0.0146 memory: 13431 grad_norm: 2.9953 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4657 loss: 2.4657 2022/08/15 16:08:36 - mmengine - INFO - Epoch(train) [134][900/3757] lr: 4.6934e-02 eta: 2 days, 3:21:03 time: 0.4086 data_time: 0.0154 memory: 13431 grad_norm: 2.9888 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7324 loss: 2.7324 2022/08/15 16:09:16 - mmengine - INFO - Epoch(train) [134][1000/3757] lr: 4.6934e-02 eta: 2 days, 3:20:23 time: 0.4014 data_time: 0.0150 memory: 13431 grad_norm: 3.0084 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9170 loss: 2.9170 2022/08/15 16:09:57 - mmengine - INFO - Epoch(train) [134][1100/3757] lr: 4.6934e-02 eta: 2 days, 3:19:43 time: 0.4126 data_time: 0.0161 memory: 13431 grad_norm: 3.0452 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5648 loss: 2.5648 2022/08/15 16:10:38 - mmengine - INFO - Epoch(train) [134][1200/3757] lr: 4.6934e-02 eta: 2 days, 3:19:03 time: 0.4023 data_time: 0.0141 memory: 13431 grad_norm: 2.9665 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5518 loss: 2.5518 2022/08/15 16:11:18 - mmengine - INFO - Epoch(train) [134][1300/3757] lr: 4.6934e-02 eta: 2 days, 3:18:24 time: 0.4024 data_time: 0.0147 memory: 13431 grad_norm: 3.0142 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2932 loss: 2.2932 2022/08/15 16:11:26 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 16:11:59 - mmengine - INFO - Epoch(train) [134][1400/3757] lr: 4.6934e-02 eta: 2 days, 3:17:44 time: 0.4059 data_time: 0.0145 memory: 13431 grad_norm: 3.0633 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3359 loss: 2.3359 2022/08/15 16:12:40 - mmengine - INFO - Epoch(train) [134][1500/3757] lr: 4.6934e-02 eta: 2 days, 3:17:04 time: 0.4015 data_time: 0.0144 memory: 13431 grad_norm: 3.0176 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5388 loss: 2.5388 2022/08/15 16:13:21 - mmengine - INFO - Epoch(train) [134][1600/3757] lr: 4.6934e-02 eta: 2 days, 3:16:25 time: 0.4109 data_time: 0.0146 memory: 13431 grad_norm: 3.0901 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4809 loss: 2.4809 2022/08/15 16:14:01 - mmengine - INFO - Epoch(train) [134][1700/3757] lr: 4.6934e-02 eta: 2 days, 3:15:45 time: 0.4009 data_time: 0.0145 memory: 13431 grad_norm: 2.9767 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7639 loss: 2.7639 2022/08/15 16:14:41 - mmengine - INFO - Epoch(train) [134][1800/3757] lr: 4.6934e-02 eta: 2 days, 3:15:05 time: 0.4029 data_time: 0.0148 memory: 13431 grad_norm: 2.9311 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8317 loss: 2.8317 2022/08/15 16:15:29 - mmengine - INFO - Epoch(train) [134][1900/3757] lr: 4.6934e-02 eta: 2 days, 3:14:31 time: 0.4017 data_time: 0.0146 memory: 13431 grad_norm: 2.9796 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4059 loss: 2.4059 2022/08/15 16:16:09 - mmengine - INFO - Epoch(train) [134][2000/3757] lr: 4.6934e-02 eta: 2 days, 3:13:52 time: 0.4012 data_time: 0.0146 memory: 13431 grad_norm: 3.0767 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6943 loss: 2.6943 2022/08/15 16:16:50 - mmengine - INFO - Epoch(train) [134][2100/3757] lr: 4.6934e-02 eta: 2 days, 3:13:12 time: 0.4022 data_time: 0.0147 memory: 13431 grad_norm: 3.0609 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4665 loss: 2.4665 2022/08/15 16:17:30 - mmengine - INFO - Epoch(train) [134][2200/3757] lr: 4.6934e-02 eta: 2 days, 3:12:32 time: 0.4042 data_time: 0.0171 memory: 13431 grad_norm: 3.1060 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5446 loss: 2.5446 2022/08/15 16:18:11 - mmengine - INFO - Epoch(train) [134][2300/3757] lr: 4.6934e-02 eta: 2 days, 3:11:53 time: 0.4083 data_time: 0.0155 memory: 13431 grad_norm: 2.9894 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3872 loss: 2.3872 2022/08/15 16:18:19 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 16:18:52 - mmengine - INFO - Epoch(train) [134][2400/3757] lr: 4.6934e-02 eta: 2 days, 3:11:13 time: 0.4015 data_time: 0.0151 memory: 13431 grad_norm: 3.0318 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2796 loss: 2.2796 2022/08/15 16:19:32 - mmengine - INFO - Epoch(train) [134][2500/3757] lr: 4.6934e-02 eta: 2 days, 3:10:33 time: 0.4035 data_time: 0.0161 memory: 13431 grad_norm: 3.0704 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4695 loss: 2.4695 2022/08/15 16:20:13 - mmengine - INFO - Epoch(train) [134][2600/3757] lr: 4.6934e-02 eta: 2 days, 3:09:53 time: 0.4011 data_time: 0.0150 memory: 13431 grad_norm: 3.0198 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6456 loss: 2.6456 2022/08/15 16:20:53 - mmengine - INFO - Epoch(train) [134][2700/3757] lr: 4.6934e-02 eta: 2 days, 3:09:14 time: 0.4037 data_time: 0.0140 memory: 13431 grad_norm: 3.0015 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3659 loss: 2.3659 2022/08/15 16:21:34 - mmengine - INFO - Epoch(train) [134][2800/3757] lr: 4.6934e-02 eta: 2 days, 3:08:34 time: 0.4056 data_time: 0.0151 memory: 13431 grad_norm: 3.0504 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.5257 loss: 2.5257 2022/08/15 16:22:15 - mmengine - INFO - Epoch(train) [134][2900/3757] lr: 4.6934e-02 eta: 2 days, 3:07:54 time: 0.4051 data_time: 0.0153 memory: 13431 grad_norm: 3.0576 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5503 loss: 2.5503 2022/08/15 16:22:56 - mmengine - INFO - Epoch(train) [134][3000/3757] lr: 4.6934e-02 eta: 2 days, 3:07:15 time: 0.4098 data_time: 0.0147 memory: 13431 grad_norm: 3.0829 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6140 loss: 2.6140 2022/08/15 16:23:36 - mmengine - INFO - Epoch(train) [134][3100/3757] lr: 4.6934e-02 eta: 2 days, 3:06:35 time: 0.4043 data_time: 0.0158 memory: 13431 grad_norm: 2.9463 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4917 loss: 2.4917 2022/08/15 16:24:17 - mmengine - INFO - Epoch(train) [134][3200/3757] lr: 4.6934e-02 eta: 2 days, 3:05:56 time: 0.4036 data_time: 0.0152 memory: 13431 grad_norm: 3.0185 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6278 loss: 2.6278 2022/08/15 16:24:58 - mmengine - INFO - Epoch(train) [134][3300/3757] lr: 4.6934e-02 eta: 2 days, 3:05:16 time: 0.4035 data_time: 0.0153 memory: 13431 grad_norm: 3.0028 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.7873 loss: 2.7873 2022/08/15 16:25:05 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 16:25:38 - mmengine - INFO - Epoch(train) [134][3400/3757] lr: 4.6934e-02 eta: 2 days, 3:04:36 time: 0.4004 data_time: 0.0155 memory: 13431 grad_norm: 3.0584 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5594 loss: 2.5594 2022/08/15 16:26:19 - mmengine - INFO - Epoch(train) [134][3500/3757] lr: 4.6934e-02 eta: 2 days, 3:03:56 time: 0.4033 data_time: 0.0162 memory: 13431 grad_norm: 3.1216 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8852 loss: 2.8852 2022/08/15 16:26:59 - mmengine - INFO - Epoch(train) [134][3600/3757] lr: 4.6934e-02 eta: 2 days, 3:03:17 time: 0.4129 data_time: 0.0161 memory: 13431 grad_norm: 3.0873 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8200 loss: 2.8200 2022/08/15 16:27:40 - mmengine - INFO - Epoch(train) [134][3700/3757] lr: 4.6934e-02 eta: 2 days, 3:02:37 time: 0.4096 data_time: 0.0164 memory: 13431 grad_norm: 3.0194 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6102 loss: 2.6102 2022/08/15 16:28:03 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 16:28:03 - mmengine - INFO - Epoch(train) [134][3757/3757] lr: 4.6934e-02 eta: 2 days, 3:02:21 time: 0.3871 data_time: 0.0141 memory: 13431 grad_norm: 2.9288 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.4751 loss: 2.4751 2022/08/15 16:28:46 - mmengine - INFO - Epoch(train) [135][100/3757] lr: 4.6322e-02 eta: 2 days, 3:01:30 time: 0.4008 data_time: 0.0153 memory: 13431 grad_norm: 3.0670 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.6247 loss: 2.6247 2022/08/15 16:29:26 - mmengine - INFO - Epoch(train) [135][200/3757] lr: 4.6322e-02 eta: 2 days, 3:00:51 time: 0.4017 data_time: 0.0149 memory: 13431 grad_norm: 3.1117 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4012 loss: 2.4012 2022/08/15 16:30:07 - mmengine - INFO - Epoch(train) [135][300/3757] lr: 4.6322e-02 eta: 2 days, 3:00:11 time: 0.4037 data_time: 0.0144 memory: 13431 grad_norm: 2.9740 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1831 loss: 2.1831 2022/08/15 16:30:47 - mmengine - INFO - Epoch(train) [135][400/3757] lr: 4.6322e-02 eta: 2 days, 2:59:31 time: 0.4025 data_time: 0.0152 memory: 13431 grad_norm: 3.0139 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4860 loss: 2.4860 2022/08/15 16:31:28 - mmengine - INFO - Epoch(train) [135][500/3757] lr: 4.6322e-02 eta: 2 days, 2:58:51 time: 0.4091 data_time: 0.0157 memory: 13431 grad_norm: 3.1139 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5494 loss: 2.5494 2022/08/15 16:31:53 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 16:32:09 - mmengine - INFO - Epoch(train) [135][600/3757] lr: 4.6322e-02 eta: 2 days, 2:58:12 time: 0.4056 data_time: 0.0152 memory: 13431 grad_norm: 3.1171 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5689 loss: 2.5689 2022/08/15 16:32:49 - mmengine - INFO - Epoch(train) [135][700/3757] lr: 4.6322e-02 eta: 2 days, 2:57:32 time: 0.4020 data_time: 0.0146 memory: 13431 grad_norm: 3.1127 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4758 loss: 2.4758 2022/08/15 16:33:30 - mmengine - INFO - Epoch(train) [135][800/3757] lr: 4.6322e-02 eta: 2 days, 2:56:52 time: 0.4026 data_time: 0.0151 memory: 13431 grad_norm: 3.0473 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.4182 loss: 2.4182 2022/08/15 16:34:11 - mmengine - INFO - Epoch(train) [135][900/3757] lr: 4.6322e-02 eta: 2 days, 2:56:12 time: 0.4012 data_time: 0.0154 memory: 13431 grad_norm: 3.0434 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7716 loss: 2.7716 2022/08/15 16:34:51 - mmengine - INFO - Epoch(train) [135][1000/3757] lr: 4.6322e-02 eta: 2 days, 2:55:33 time: 0.4044 data_time: 0.0149 memory: 13431 grad_norm: 3.2472 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8394 loss: 2.8394 2022/08/15 16:35:32 - mmengine - INFO - Epoch(train) [135][1100/3757] lr: 4.6322e-02 eta: 2 days, 2:54:53 time: 0.4041 data_time: 0.0146 memory: 13431 grad_norm: 3.0094 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4325 loss: 2.4325 2022/08/15 16:36:12 - mmengine - INFO - Epoch(train) [135][1200/3757] lr: 4.6322e-02 eta: 2 days, 2:54:13 time: 0.4057 data_time: 0.0159 memory: 13431 grad_norm: 3.0112 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4107 loss: 2.4107 2022/08/15 16:36:53 - mmengine - INFO - Epoch(train) [135][1300/3757] lr: 4.6322e-02 eta: 2 days, 2:53:34 time: 0.4062 data_time: 0.0145 memory: 13431 grad_norm: 3.0955 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3882 loss: 2.3882 2022/08/15 16:37:34 - mmengine - INFO - Epoch(train) [135][1400/3757] lr: 4.6322e-02 eta: 2 days, 2:52:54 time: 0.4020 data_time: 0.0147 memory: 13431 grad_norm: 3.1136 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7306 loss: 2.7306 2022/08/15 16:38:14 - mmengine - INFO - Epoch(train) [135][1500/3757] lr: 4.6322e-02 eta: 2 days, 2:52:14 time: 0.4020 data_time: 0.0145 memory: 13431 grad_norm: 3.0486 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5324 loss: 2.5324 2022/08/15 16:38:40 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 16:38:55 - mmengine - INFO - Epoch(train) [135][1600/3757] lr: 4.6322e-02 eta: 2 days, 2:51:35 time: 0.4091 data_time: 0.0154 memory: 13431 grad_norm: 3.0551 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6561 loss: 2.6561 2022/08/15 16:39:36 - mmengine - INFO - Epoch(train) [135][1700/3757] lr: 4.6322e-02 eta: 2 days, 2:50:55 time: 0.4035 data_time: 0.0144 memory: 13431 grad_norm: 3.0526 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3437 loss: 2.3437 2022/08/15 16:40:16 - mmengine - INFO - Epoch(train) [135][1800/3757] lr: 4.6322e-02 eta: 2 days, 2:50:15 time: 0.4016 data_time: 0.0153 memory: 13431 grad_norm: 3.0225 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7663 loss: 2.7663 2022/08/15 16:40:57 - mmengine - INFO - Epoch(train) [135][1900/3757] lr: 4.6322e-02 eta: 2 days, 2:49:35 time: 0.4044 data_time: 0.0157 memory: 13431 grad_norm: 3.0117 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3693 loss: 2.3693 2022/08/15 16:41:38 - mmengine - INFO - Epoch(train) [135][2000/3757] lr: 4.6322e-02 eta: 2 days, 2:48:56 time: 0.4176 data_time: 0.0150 memory: 13431 grad_norm: 3.0178 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6148 loss: 2.6148 2022/08/15 16:42:18 - mmengine - INFO - Epoch(train) [135][2100/3757] lr: 4.6322e-02 eta: 2 days, 2:48:16 time: 0.4035 data_time: 0.0150 memory: 13431 grad_norm: 3.0537 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5751 loss: 2.5751 2022/08/15 16:42:59 - mmengine - INFO - Epoch(train) [135][2200/3757] lr: 4.6322e-02 eta: 2 days, 2:47:36 time: 0.4071 data_time: 0.0159 memory: 13431 grad_norm: 3.0925 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5085 loss: 2.5085 2022/08/15 16:43:40 - mmengine - INFO - Epoch(train) [135][2300/3757] lr: 4.6322e-02 eta: 2 days, 2:46:57 time: 0.4120 data_time: 0.0152 memory: 13431 grad_norm: 2.9651 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4318 loss: 2.4318 2022/08/15 16:44:20 - mmengine - INFO - Epoch(train) [135][2400/3757] lr: 4.6322e-02 eta: 2 days, 2:46:17 time: 0.4066 data_time: 0.0155 memory: 13431 grad_norm: 3.1238 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3929 loss: 2.3929 2022/08/15 16:45:01 - mmengine - INFO - Epoch(train) [135][2500/3757] lr: 4.6322e-02 eta: 2 days, 2:45:37 time: 0.4049 data_time: 0.0161 memory: 13431 grad_norm: 3.0835 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3901 loss: 2.3901 2022/08/15 16:45:26 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 16:45:41 - mmengine - INFO - Epoch(train) [135][2600/3757] lr: 4.6322e-02 eta: 2 days, 2:44:57 time: 0.4041 data_time: 0.0156 memory: 13431 grad_norm: 3.0787 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2233 loss: 2.2233 2022/08/15 16:46:22 - mmengine - INFO - Epoch(train) [135][2700/3757] lr: 4.6322e-02 eta: 2 days, 2:44:18 time: 0.4058 data_time: 0.0148 memory: 13431 grad_norm: 3.0268 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6286 loss: 2.6286 2022/08/15 16:47:03 - mmengine - INFO - Epoch(train) [135][2800/3757] lr: 4.6322e-02 eta: 2 days, 2:43:38 time: 0.4035 data_time: 0.0149 memory: 13431 grad_norm: 3.0725 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5596 loss: 2.5596 2022/08/15 16:47:44 - mmengine - INFO - Epoch(train) [135][2900/3757] lr: 4.6322e-02 eta: 2 days, 2:42:58 time: 0.4037 data_time: 0.0150 memory: 13431 grad_norm: 3.0627 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3718 loss: 2.3718 2022/08/15 16:48:24 - mmengine - INFO - Epoch(train) [135][3000/3757] lr: 4.6322e-02 eta: 2 days, 2:42:19 time: 0.4093 data_time: 0.0152 memory: 13431 grad_norm: 2.9816 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.7200 loss: 2.7200 2022/08/15 16:49:05 - mmengine - INFO - Epoch(train) [135][3100/3757] lr: 4.6322e-02 eta: 2 days, 2:41:39 time: 0.4017 data_time: 0.0142 memory: 13431 grad_norm: 3.0822 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7057 loss: 2.7057 2022/08/15 16:49:46 - mmengine - INFO - Epoch(train) [135][3200/3757] lr: 4.6322e-02 eta: 2 days, 2:40:59 time: 0.4083 data_time: 0.0150 memory: 13431 grad_norm: 3.0748 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5297 loss: 2.5297 2022/08/15 16:50:26 - mmengine - INFO - Epoch(train) [135][3300/3757] lr: 4.6322e-02 eta: 2 days, 2:40:20 time: 0.4012 data_time: 0.0152 memory: 13431 grad_norm: 3.0825 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7015 loss: 2.7015 2022/08/15 16:51:07 - mmengine - INFO - Epoch(train) [135][3400/3757] lr: 4.6322e-02 eta: 2 days, 2:39:40 time: 0.4051 data_time: 0.0139 memory: 13431 grad_norm: 3.0347 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5624 loss: 2.5624 2022/08/15 16:51:47 - mmengine - INFO - Epoch(train) [135][3500/3757] lr: 4.6322e-02 eta: 2 days, 2:39:00 time: 0.4052 data_time: 0.0145 memory: 13431 grad_norm: 3.0521 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5116 loss: 2.5116 2022/08/15 16:52:13 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 16:52:28 - mmengine - INFO - Epoch(train) [135][3600/3757] lr: 4.6322e-02 eta: 2 days, 2:38:21 time: 0.4051 data_time: 0.0153 memory: 13431 grad_norm: 3.0080 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4284 loss: 2.4284 2022/08/15 16:53:09 - mmengine - INFO - Epoch(train) [135][3700/3757] lr: 4.6322e-02 eta: 2 days, 2:37:41 time: 0.4058 data_time: 0.0154 memory: 13431 grad_norm: 3.1170 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3415 loss: 2.3415 2022/08/15 16:53:32 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 16:53:32 - mmengine - INFO - Epoch(train) [135][3757/3757] lr: 4.6322e-02 eta: 2 days, 2:37:25 time: 0.3906 data_time: 0.0150 memory: 13431 grad_norm: 3.1675 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 2.7148 loss: 2.7148 2022/08/15 16:53:54 - mmengine - INFO - Epoch(val) [135][100/310] eta: 0:00:47 time: 0.2285 data_time: 0.0976 memory: 1974 2022/08/15 16:54:15 - mmengine - INFO - Epoch(val) [135][200/310] eta: 0:00:20 time: 0.1863 data_time: 0.0569 memory: 1974 2022/08/15 16:54:36 - mmengine - INFO - Epoch(val) [135][300/310] eta: 0:00:02 time: 0.2085 data_time: 0.0788 memory: 1974 2022/08/15 16:54:42 - mmengine - INFO - Epoch(val) [135][310/310] acc/top1: 0.4914 acc/top5: 0.7488 acc/mean1: 0.4915 2022/08/15 16:54:42 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_126.pth is removed 2022/08/15 16:54:46 - mmengine - INFO - The best checkpoint with 0.4914 acc/top1 at 136 epoch is saved to best_acc/top1_epoch_136.pth. 2022/08/15 16:55:33 - mmengine - INFO - Epoch(train) [136][100/3757] lr: 4.5710e-02 eta: 2 days, 2:36:38 time: 0.4029 data_time: 0.0152 memory: 13431 grad_norm: 2.9616 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4849 loss: 2.4849 2022/08/15 16:56:13 - mmengine - INFO - Epoch(train) [136][200/3757] lr: 4.5710e-02 eta: 2 days, 2:35:58 time: 0.4081 data_time: 0.0151 memory: 13431 grad_norm: 3.2450 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6205 loss: 2.6205 2022/08/15 16:56:54 - mmengine - INFO - Epoch(train) [136][300/3757] lr: 4.5710e-02 eta: 2 days, 2:35:19 time: 0.4107 data_time: 0.0165 memory: 13431 grad_norm: 3.0000 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7347 loss: 2.7347 2022/08/15 16:57:35 - mmengine - INFO - Epoch(train) [136][400/3757] lr: 4.5710e-02 eta: 2 days, 2:34:39 time: 0.4028 data_time: 0.0164 memory: 13431 grad_norm: 3.1713 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3799 loss: 2.3799 2022/08/15 16:58:15 - mmengine - INFO - Epoch(train) [136][500/3757] lr: 4.5710e-02 eta: 2 days, 2:33:59 time: 0.4018 data_time: 0.0141 memory: 13431 grad_norm: 2.9499 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8706 loss: 2.8706 2022/08/15 16:58:56 - mmengine - INFO - Epoch(train) [136][600/3757] lr: 4.5710e-02 eta: 2 days, 2:33:20 time: 0.4023 data_time: 0.0146 memory: 13431 grad_norm: 3.1845 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3255 loss: 2.3255 2022/08/15 16:59:37 - mmengine - INFO - Epoch(train) [136][700/3757] lr: 4.5710e-02 eta: 2 days, 2:32:40 time: 0.4010 data_time: 0.0152 memory: 13431 grad_norm: 3.0175 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4755 loss: 2.4755 2022/08/15 17:00:17 - mmengine - INFO - Epoch(train) [136][800/3757] lr: 4.5710e-02 eta: 2 days, 2:32:00 time: 0.4040 data_time: 0.0164 memory: 13431 grad_norm: 3.1356 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5588 loss: 2.5588 2022/08/15 17:00:20 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 17:00:58 - mmengine - INFO - Epoch(train) [136][900/3757] lr: 4.5710e-02 eta: 2 days, 2:31:21 time: 0.4007 data_time: 0.0151 memory: 13431 grad_norm: 3.0497 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 2.5687 loss: 2.5687 2022/08/15 17:01:39 - mmengine - INFO - Epoch(train) [136][1000/3757] lr: 4.5710e-02 eta: 2 days, 2:30:41 time: 0.4036 data_time: 0.0144 memory: 13431 grad_norm: 2.9682 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0424 loss: 3.0424 2022/08/15 17:02:19 - mmengine - INFO - Epoch(train) [136][1100/3757] lr: 4.5710e-02 eta: 2 days, 2:30:01 time: 0.4034 data_time: 0.0147 memory: 13431 grad_norm: 3.0247 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1117 loss: 2.1117 2022/08/15 17:03:00 - mmengine - INFO - Epoch(train) [136][1200/3757] lr: 4.5710e-02 eta: 2 days, 2:29:21 time: 0.4033 data_time: 0.0150 memory: 13431 grad_norm: 3.1272 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4689 loss: 2.4689 2022/08/15 17:03:40 - mmengine - INFO - Epoch(train) [136][1300/3757] lr: 4.5710e-02 eta: 2 days, 2:28:42 time: 0.4056 data_time: 0.0152 memory: 13431 grad_norm: 3.1242 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.6084 loss: 2.6084 2022/08/15 17:04:21 - mmengine - INFO - Epoch(train) [136][1400/3757] lr: 4.5710e-02 eta: 2 days, 2:28:02 time: 0.4065 data_time: 0.0152 memory: 13431 grad_norm: 3.1628 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6093 loss: 2.6093 2022/08/15 17:05:02 - mmengine - INFO - Epoch(train) [136][1500/3757] lr: 4.5710e-02 eta: 2 days, 2:27:22 time: 0.4023 data_time: 0.0150 memory: 13431 grad_norm: 3.0862 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8052 loss: 2.8052 2022/08/15 17:05:42 - mmengine - INFO - Epoch(train) [136][1600/3757] lr: 4.5710e-02 eta: 2 days, 2:26:42 time: 0.4006 data_time: 0.0147 memory: 13431 grad_norm: 3.0256 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4752 loss: 2.4752 2022/08/15 17:06:23 - mmengine - INFO - Epoch(train) [136][1700/3757] lr: 4.5710e-02 eta: 2 days, 2:26:03 time: 0.4039 data_time: 0.0149 memory: 13431 grad_norm: 2.9762 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3805 loss: 2.3805 2022/08/15 17:07:04 - mmengine - INFO - Epoch(train) [136][1800/3757] lr: 4.5710e-02 eta: 2 days, 2:25:23 time: 0.4013 data_time: 0.0145 memory: 13431 grad_norm: 3.0487 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4184 loss: 2.4184 2022/08/15 17:07:06 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 17:07:44 - mmengine - INFO - Epoch(train) [136][1900/3757] lr: 4.5710e-02 eta: 2 days, 2:24:43 time: 0.4015 data_time: 0.0148 memory: 13431 grad_norm: 3.0953 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7768 loss: 2.7768 2022/08/15 17:08:25 - mmengine - INFO - Epoch(train) [136][2000/3757] lr: 4.5710e-02 eta: 2 days, 2:24:03 time: 0.4017 data_time: 0.0149 memory: 13431 grad_norm: 3.1021 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.7175 loss: 2.7175 2022/08/15 17:09:05 - mmengine - INFO - Epoch(train) [136][2100/3757] lr: 4.5710e-02 eta: 2 days, 2:23:24 time: 0.4098 data_time: 0.0159 memory: 13431 grad_norm: 2.9998 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6766 loss: 2.6766 2022/08/15 17:09:46 - mmengine - INFO - Epoch(train) [136][2200/3757] lr: 4.5710e-02 eta: 2 days, 2:22:44 time: 0.4040 data_time: 0.0156 memory: 13431 grad_norm: 3.1345 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5668 loss: 2.5668 2022/08/15 17:10:27 - mmengine - INFO - Epoch(train) [136][2300/3757] lr: 4.5710e-02 eta: 2 days, 2:22:04 time: 0.4007 data_time: 0.0145 memory: 13431 grad_norm: 3.1104 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6442 loss: 2.6442 2022/08/15 17:11:08 - mmengine - INFO - Epoch(train) [136][2400/3757] lr: 4.5710e-02 eta: 2 days, 2:21:25 time: 0.4113 data_time: 0.0152 memory: 13431 grad_norm: 3.0865 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8306 loss: 2.8306 2022/08/15 17:11:48 - mmengine - INFO - Epoch(train) [136][2500/3757] lr: 4.5710e-02 eta: 2 days, 2:20:45 time: 0.4007 data_time: 0.0159 memory: 13431 grad_norm: 3.0377 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8748 loss: 2.8748 2022/08/15 17:12:28 - mmengine - INFO - Epoch(train) [136][2600/3757] lr: 4.5710e-02 eta: 2 days, 2:20:05 time: 0.4017 data_time: 0.0148 memory: 13431 grad_norm: 2.9689 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6720 loss: 2.6720 2022/08/15 17:13:09 - mmengine - INFO - Epoch(train) [136][2700/3757] lr: 4.5710e-02 eta: 2 days, 2:19:25 time: 0.4023 data_time: 0.0168 memory: 13431 grad_norm: 3.1742 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5337 loss: 2.5337 2022/08/15 17:13:50 - mmengine - INFO - Epoch(train) [136][2800/3757] lr: 4.5710e-02 eta: 2 days, 2:18:46 time: 0.4118 data_time: 0.0152 memory: 13431 grad_norm: 2.9547 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7701 loss: 2.7701 2022/08/15 17:13:52 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 17:14:31 - mmengine - INFO - Epoch(train) [136][2900/3757] lr: 4.5710e-02 eta: 2 days, 2:18:06 time: 0.4025 data_time: 0.0145 memory: 13431 grad_norm: 3.0186 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4955 loss: 2.4955 2022/08/15 17:15:11 - mmengine - INFO - Epoch(train) [136][3000/3757] lr: 4.5710e-02 eta: 2 days, 2:17:26 time: 0.4103 data_time: 0.0153 memory: 13431 grad_norm: 2.9633 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.7171 loss: 2.7171 2022/08/15 17:15:52 - mmengine - INFO - Epoch(train) [136][3100/3757] lr: 4.5710e-02 eta: 2 days, 2:16:47 time: 0.4069 data_time: 0.0148 memory: 13431 grad_norm: 3.1129 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5128 loss: 2.5128 2022/08/15 17:16:33 - mmengine - INFO - Epoch(train) [136][3200/3757] lr: 4.5710e-02 eta: 2 days, 2:16:07 time: 0.4021 data_time: 0.0144 memory: 13431 grad_norm: 3.0615 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5014 loss: 2.5014 2022/08/15 17:17:13 - mmengine - INFO - Epoch(train) [136][3300/3757] lr: 4.5710e-02 eta: 2 days, 2:15:27 time: 0.4043 data_time: 0.0169 memory: 13431 grad_norm: 3.0160 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5016 loss: 2.5016 2022/08/15 17:17:54 - mmengine - INFO - Epoch(train) [136][3400/3757] lr: 4.5710e-02 eta: 2 days, 2:14:47 time: 0.4032 data_time: 0.0145 memory: 13431 grad_norm: 3.0781 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6126 loss: 2.6126 2022/08/15 17:18:34 - mmengine - INFO - Epoch(train) [136][3500/3757] lr: 4.5710e-02 eta: 2 days, 2:14:08 time: 0.4122 data_time: 0.0149 memory: 13431 grad_norm: 2.9509 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4140 loss: 2.4140 2022/08/15 17:19:15 - mmengine - INFO - Epoch(train) [136][3600/3757] lr: 4.5710e-02 eta: 2 days, 2:13:28 time: 0.4082 data_time: 0.0178 memory: 13431 grad_norm: 3.0295 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6920 loss: 2.6920 2022/08/15 17:19:56 - mmengine - INFO - Epoch(train) [136][3700/3757] lr: 4.5710e-02 eta: 2 days, 2:12:48 time: 0.4028 data_time: 0.0169 memory: 13431 grad_norm: 3.0196 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4824 loss: 2.4824 2022/08/15 17:20:19 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 17:20:19 - mmengine - INFO - Epoch(train) [136][3757/3757] lr: 4.5710e-02 eta: 2 days, 2:12:33 time: 0.3877 data_time: 0.0140 memory: 13431 grad_norm: 2.9939 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 2.6666 loss: 2.6666 2022/08/15 17:20:19 - mmengine - INFO - Saving checkpoint at 136 epochs 2022/08/15 17:20:46 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 17:21:07 - mmengine - INFO - Epoch(train) [137][100/3757] lr: 4.5099e-02 eta: 2 days, 2:11:41 time: 0.4008 data_time: 0.0141 memory: 13431 grad_norm: 3.1121 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1607 loss: 2.1607 2022/08/15 17:21:47 - mmengine - INFO - Epoch(train) [137][200/3757] lr: 4.5099e-02 eta: 2 days, 2:11:01 time: 0.4014 data_time: 0.0164 memory: 13431 grad_norm: 3.1166 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5672 loss: 2.5672 2022/08/15 17:22:28 - mmengine - INFO - Epoch(train) [137][300/3757] lr: 4.5099e-02 eta: 2 days, 2:10:21 time: 0.4113 data_time: 0.0154 memory: 13431 grad_norm: 3.1821 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1835 loss: 2.1835 2022/08/15 17:23:09 - mmengine - INFO - Epoch(train) [137][400/3757] lr: 4.5099e-02 eta: 2 days, 2:09:42 time: 0.4025 data_time: 0.0143 memory: 13431 grad_norm: 3.1299 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3806 loss: 2.3806 2022/08/15 17:23:50 - mmengine - INFO - Epoch(train) [137][500/3757] lr: 4.5099e-02 eta: 2 days, 2:09:02 time: 0.4043 data_time: 0.0148 memory: 13431 grad_norm: 3.1341 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5082 loss: 2.5082 2022/08/15 17:24:30 - mmengine - INFO - Epoch(train) [137][600/3757] lr: 4.5099e-02 eta: 2 days, 2:08:23 time: 0.4006 data_time: 0.0146 memory: 13431 grad_norm: 3.0006 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4353 loss: 2.4353 2022/08/15 17:25:11 - mmengine - INFO - Epoch(train) [137][700/3757] lr: 4.5099e-02 eta: 2 days, 2:07:43 time: 0.4039 data_time: 0.0150 memory: 13431 grad_norm: 3.1558 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6620 loss: 2.6620 2022/08/15 17:25:52 - mmengine - INFO - Epoch(train) [137][800/3757] lr: 4.5099e-02 eta: 2 days, 2:07:03 time: 0.3997 data_time: 0.0144 memory: 13431 grad_norm: 3.0412 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5563 loss: 2.5563 2022/08/15 17:26:33 - mmengine - INFO - Epoch(train) [137][900/3757] lr: 4.5099e-02 eta: 2 days, 2:06:24 time: 0.4008 data_time: 0.0143 memory: 13431 grad_norm: 3.0650 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.5397 loss: 2.5397 2022/08/15 17:27:13 - mmengine - INFO - Epoch(train) [137][1000/3757] lr: 4.5099e-02 eta: 2 days, 2:05:44 time: 0.4017 data_time: 0.0147 memory: 13431 grad_norm: 3.0652 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3643 loss: 2.3643 2022/08/15 17:27:33 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 17:27:54 - mmengine - INFO - Epoch(train) [137][1100/3757] lr: 4.5099e-02 eta: 2 days, 2:05:04 time: 0.4047 data_time: 0.0166 memory: 13431 grad_norm: 3.0252 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2747 loss: 2.2747 2022/08/15 17:28:34 - mmengine - INFO - Epoch(train) [137][1200/3757] lr: 4.5099e-02 eta: 2 days, 2:04:24 time: 0.4047 data_time: 0.0153 memory: 13431 grad_norm: 3.0882 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9104 loss: 2.9104 2022/08/15 17:29:15 - mmengine - INFO - Epoch(train) [137][1300/3757] lr: 4.5099e-02 eta: 2 days, 2:03:44 time: 0.4015 data_time: 0.0167 memory: 13431 grad_norm: 3.1284 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4410 loss: 2.4410 2022/08/15 17:29:55 - mmengine - INFO - Epoch(train) [137][1400/3757] lr: 4.5099e-02 eta: 2 days, 2:03:05 time: 0.4031 data_time: 0.0153 memory: 13431 grad_norm: 3.0838 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4873 loss: 2.4873 2022/08/15 17:30:36 - mmengine - INFO - Epoch(train) [137][1500/3757] lr: 4.5099e-02 eta: 2 days, 2:02:25 time: 0.4025 data_time: 0.0149 memory: 13431 grad_norm: 3.0029 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1361 loss: 2.1361 2022/08/15 17:31:17 - mmengine - INFO - Epoch(train) [137][1600/3757] lr: 4.5099e-02 eta: 2 days, 2:01:45 time: 0.4012 data_time: 0.0149 memory: 13431 grad_norm: 3.0223 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7205 loss: 2.7205 2022/08/15 17:31:57 - mmengine - INFO - Epoch(train) [137][1700/3757] lr: 4.5099e-02 eta: 2 days, 2:01:05 time: 0.4014 data_time: 0.0155 memory: 13431 grad_norm: 3.0872 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0251 loss: 2.0251 2022/08/15 17:32:38 - mmengine - INFO - Epoch(train) [137][1800/3757] lr: 4.5099e-02 eta: 2 days, 2:00:26 time: 0.4020 data_time: 0.0155 memory: 13431 grad_norm: 3.1085 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6728 loss: 2.6728 2022/08/15 17:33:18 - mmengine - INFO - Epoch(train) [137][1900/3757] lr: 4.5099e-02 eta: 2 days, 1:59:46 time: 0.4018 data_time: 0.0144 memory: 13431 grad_norm: 3.0997 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3855 loss: 2.3855 2022/08/15 17:33:59 - mmengine - INFO - Epoch(train) [137][2000/3757] lr: 4.5099e-02 eta: 2 days, 1:59:06 time: 0.4024 data_time: 0.0147 memory: 13431 grad_norm: 3.1557 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3599 loss: 2.3599 2022/08/15 17:34:19 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 17:34:40 - mmengine - INFO - Epoch(train) [137][2100/3757] lr: 4.5099e-02 eta: 2 days, 1:58:26 time: 0.4006 data_time: 0.0156 memory: 13431 grad_norm: 2.9944 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6301 loss: 2.6301 2022/08/15 17:35:20 - mmengine - INFO - Epoch(train) [137][2200/3757] lr: 4.5099e-02 eta: 2 days, 1:57:47 time: 0.4007 data_time: 0.0139 memory: 13431 grad_norm: 3.0251 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5273 loss: 2.5273 2022/08/15 17:36:01 - mmengine - INFO - Epoch(train) [137][2300/3757] lr: 4.5099e-02 eta: 2 days, 1:57:07 time: 0.4078 data_time: 0.0148 memory: 13431 grad_norm: 3.1609 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2950 loss: 2.2950 2022/08/15 17:36:42 - mmengine - INFO - Epoch(train) [137][2400/3757] lr: 4.5099e-02 eta: 2 days, 1:56:27 time: 0.4053 data_time: 0.0153 memory: 13431 grad_norm: 3.0006 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7696 loss: 2.7696 2022/08/15 17:37:22 - mmengine - INFO - Epoch(train) [137][2500/3757] lr: 4.5099e-02 eta: 2 days, 1:55:48 time: 0.4069 data_time: 0.0163 memory: 13431 grad_norm: 3.1325 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2283 loss: 2.2283 2022/08/15 17:38:03 - mmengine - INFO - Epoch(train) [137][2600/3757] lr: 4.5099e-02 eta: 2 days, 1:55:08 time: 0.4034 data_time: 0.0151 memory: 13431 grad_norm: 3.0460 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5264 loss: 2.5264 2022/08/15 17:38:44 - mmengine - INFO - Epoch(train) [137][2700/3757] lr: 4.5099e-02 eta: 2 days, 1:54:28 time: 0.4044 data_time: 0.0156 memory: 13431 grad_norm: 3.0487 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.2466 loss: 2.2466 2022/08/15 17:39:24 - mmengine - INFO - Epoch(train) [137][2800/3757] lr: 4.5099e-02 eta: 2 days, 1:53:48 time: 0.4041 data_time: 0.0149 memory: 13431 grad_norm: 3.0903 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8170 loss: 2.8170 2022/08/15 17:40:05 - mmengine - INFO - Epoch(train) [137][2900/3757] lr: 4.5099e-02 eta: 2 days, 1:53:09 time: 0.4059 data_time: 0.0153 memory: 13431 grad_norm: 3.1773 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6617 loss: 2.6617 2022/08/15 17:40:46 - mmengine - INFO - Epoch(train) [137][3000/3757] lr: 4.5099e-02 eta: 2 days, 1:52:29 time: 0.4077 data_time: 0.0168 memory: 13431 grad_norm: 3.0570 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5973 loss: 2.5973 2022/08/15 17:41:05 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 17:41:26 - mmengine - INFO - Epoch(train) [137][3100/3757] lr: 4.5099e-02 eta: 2 days, 1:51:49 time: 0.4040 data_time: 0.0168 memory: 13431 grad_norm: 3.0127 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5158 loss: 2.5158 2022/08/15 17:42:07 - mmengine - INFO - Epoch(train) [137][3200/3757] lr: 4.5099e-02 eta: 2 days, 1:51:09 time: 0.4045 data_time: 0.0153 memory: 13431 grad_norm: 3.1293 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7131 loss: 2.7131 2022/08/15 17:42:48 - mmengine - INFO - Epoch(train) [137][3300/3757] lr: 4.5099e-02 eta: 2 days, 1:50:30 time: 0.4037 data_time: 0.0148 memory: 13431 grad_norm: 3.0648 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4663 loss: 2.4663 2022/08/15 17:43:28 - mmengine - INFO - Epoch(train) [137][3400/3757] lr: 4.5099e-02 eta: 2 days, 1:49:50 time: 0.4046 data_time: 0.0177 memory: 13431 grad_norm: 3.0729 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8162 loss: 2.8162 2022/08/15 17:44:09 - mmengine - INFO - Epoch(train) [137][3500/3757] lr: 4.5099e-02 eta: 2 days, 1:49:10 time: 0.4031 data_time: 0.0154 memory: 13431 grad_norm: 3.1141 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4093 loss: 2.4093 2022/08/15 17:44:50 - mmengine - INFO - Epoch(train) [137][3600/3757] lr: 4.5099e-02 eta: 2 days, 1:48:31 time: 0.4026 data_time: 0.0148 memory: 13431 grad_norm: 3.1209 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5325 loss: 2.5325 2022/08/15 17:45:30 - mmengine - INFO - Epoch(train) [137][3700/3757] lr: 4.5099e-02 eta: 2 days, 1:47:51 time: 0.4015 data_time: 0.0150 memory: 13431 grad_norm: 3.2262 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5321 loss: 2.5321 2022/08/15 17:45:53 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 17:45:53 - mmengine - INFO - Epoch(train) [137][3757/3757] lr: 4.5099e-02 eta: 2 days, 1:47:35 time: 0.3927 data_time: 0.0149 memory: 13431 grad_norm: 3.0802 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.6075 loss: 2.6075 2022/08/15 17:46:36 - mmengine - INFO - Epoch(train) [138][100/3757] lr: 4.4489e-02 eta: 2 days, 1:46:44 time: 0.4108 data_time: 0.0171 memory: 13431 grad_norm: 3.0574 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3712 loss: 2.3712 2022/08/15 17:47:17 - mmengine - INFO - Epoch(train) [138][200/3757] lr: 4.4489e-02 eta: 2 days, 1:46:05 time: 0.4076 data_time: 0.0148 memory: 13431 grad_norm: 3.0310 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6569 loss: 2.6569 2022/08/15 17:47:54 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 17:47:57 - mmengine - INFO - Epoch(train) [138][300/3757] lr: 4.4489e-02 eta: 2 days, 1:45:25 time: 0.4019 data_time: 0.0154 memory: 13431 grad_norm: 3.0483 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1375 loss: 2.1375 2022/08/15 17:48:38 - mmengine - INFO - Epoch(train) [138][400/3757] lr: 4.4489e-02 eta: 2 days, 1:44:46 time: 0.4117 data_time: 0.0157 memory: 13431 grad_norm: 3.0824 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3612 loss: 2.3612 2022/08/15 17:49:19 - mmengine - INFO - Epoch(train) [138][500/3757] lr: 4.4489e-02 eta: 2 days, 1:44:06 time: 0.4050 data_time: 0.0158 memory: 13431 grad_norm: 3.0673 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4001 loss: 2.4001 2022/08/15 17:50:00 - mmengine - INFO - Epoch(train) [138][600/3757] lr: 4.4489e-02 eta: 2 days, 1:43:26 time: 0.4052 data_time: 0.0146 memory: 13431 grad_norm: 3.1302 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6950 loss: 2.6950 2022/08/15 17:50:47 - mmengine - INFO - Epoch(train) [138][700/3757] lr: 4.4489e-02 eta: 2 days, 1:42:52 time: 0.4036 data_time: 0.0151 memory: 13431 grad_norm: 3.0371 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.2240 loss: 2.2240 2022/08/15 17:51:32 - mmengine - INFO - Epoch(train) [138][800/3757] lr: 4.4489e-02 eta: 2 days, 1:42:16 time: 0.4028 data_time: 0.0146 memory: 13431 grad_norm: 3.1201 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1647 loss: 2.1647 2022/08/15 17:52:13 - mmengine - INFO - Epoch(train) [138][900/3757] lr: 4.4489e-02 eta: 2 days, 1:41:37 time: 0.4127 data_time: 0.0151 memory: 13431 grad_norm: 3.0718 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4913 loss: 2.4913 2022/08/15 17:52:53 - mmengine - INFO - Epoch(train) [138][1000/3757] lr: 4.4489e-02 eta: 2 days, 1:40:57 time: 0.4059 data_time: 0.0162 memory: 13431 grad_norm: 3.0425 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1948 loss: 2.1948 2022/08/15 17:53:34 - mmengine - INFO - Epoch(train) [138][1100/3757] lr: 4.4489e-02 eta: 2 days, 1:40:17 time: 0.4081 data_time: 0.0153 memory: 13431 grad_norm: 3.0726 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4970 loss: 2.4970 2022/08/15 17:54:15 - mmengine - INFO - Epoch(train) [138][1200/3757] lr: 4.4489e-02 eta: 2 days, 1:39:37 time: 0.4026 data_time: 0.0143 memory: 13431 grad_norm: 3.1983 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7167 loss: 2.7167 2022/08/15 17:54:52 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 17:54:55 - mmengine - INFO - Epoch(train) [138][1300/3757] lr: 4.4489e-02 eta: 2 days, 1:38:57 time: 0.4028 data_time: 0.0152 memory: 13431 grad_norm: 3.0611 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6644 loss: 2.6644 2022/08/15 17:55:36 - mmengine - INFO - Epoch(train) [138][1400/3757] lr: 4.4489e-02 eta: 2 days, 1:38:18 time: 0.4059 data_time: 0.0159 memory: 13431 grad_norm: 3.0992 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6598 loss: 2.6598 2022/08/15 17:56:16 - mmengine - INFO - Epoch(train) [138][1500/3757] lr: 4.4489e-02 eta: 2 days, 1:37:38 time: 0.4044 data_time: 0.0152 memory: 13431 grad_norm: 3.1738 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5291 loss: 2.5291 2022/08/15 17:56:57 - mmengine - INFO - Epoch(train) [138][1600/3757] lr: 4.4489e-02 eta: 2 days, 1:36:58 time: 0.4067 data_time: 0.0158 memory: 13431 grad_norm: 3.2041 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4814 loss: 2.4814 2022/08/15 17:57:38 - mmengine - INFO - Epoch(train) [138][1700/3757] lr: 4.4489e-02 eta: 2 days, 1:36:18 time: 0.4031 data_time: 0.0142 memory: 13431 grad_norm: 3.1499 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3472 loss: 2.3472 2022/08/15 17:58:18 - mmengine - INFO - Epoch(train) [138][1800/3757] lr: 4.4489e-02 eta: 2 days, 1:35:39 time: 0.4115 data_time: 0.0156 memory: 13431 grad_norm: 3.2031 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8245 loss: 2.8245 2022/08/15 17:58:59 - mmengine - INFO - Epoch(train) [138][1900/3757] lr: 4.4489e-02 eta: 2 days, 1:34:59 time: 0.4045 data_time: 0.0156 memory: 13431 grad_norm: 3.1157 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5499 loss: 2.5499 2022/08/15 17:59:40 - mmengine - INFO - Epoch(train) [138][2000/3757] lr: 4.4489e-02 eta: 2 days, 1:34:19 time: 0.4073 data_time: 0.0171 memory: 13431 grad_norm: 3.1111 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6459 loss: 2.6459 2022/08/15 18:00:25 - mmengine - INFO - Epoch(train) [138][2100/3757] lr: 4.4489e-02 eta: 2 days, 1:33:44 time: 0.4090 data_time: 0.0152 memory: 13431 grad_norm: 3.1242 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4952 loss: 2.4952 2022/08/15 18:01:06 - mmengine - INFO - Epoch(train) [138][2200/3757] lr: 4.4489e-02 eta: 2 days, 1:33:04 time: 0.4048 data_time: 0.0159 memory: 13431 grad_norm: 3.1343 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3970 loss: 2.3970 2022/08/15 18:01:43 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 18:01:46 - mmengine - INFO - Epoch(train) [138][2300/3757] lr: 4.4489e-02 eta: 2 days, 1:32:24 time: 0.4084 data_time: 0.0151 memory: 13431 grad_norm: 3.2023 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4946 loss: 2.4946 2022/08/15 18:02:27 - mmengine - INFO - Epoch(train) [138][2400/3757] lr: 4.4489e-02 eta: 2 days, 1:31:44 time: 0.4039 data_time: 0.0148 memory: 13431 grad_norm: 3.1515 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3694 loss: 2.3694 2022/08/15 18:03:08 - mmengine - INFO - Epoch(train) [138][2500/3757] lr: 4.4489e-02 eta: 2 days, 1:31:05 time: 0.4012 data_time: 0.0154 memory: 13431 grad_norm: 3.0529 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4494 loss: 2.4494 2022/08/15 18:03:48 - mmengine - INFO - Epoch(train) [138][2600/3757] lr: 4.4489e-02 eta: 2 days, 1:30:25 time: 0.4042 data_time: 0.0151 memory: 13431 grad_norm: 3.1528 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6510 loss: 2.6510 2022/08/15 18:04:29 - mmengine - INFO - Epoch(train) [138][2700/3757] lr: 4.4489e-02 eta: 2 days, 1:29:45 time: 0.4097 data_time: 0.0155 memory: 13431 grad_norm: 3.1595 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9838 loss: 2.9838 2022/08/15 18:05:10 - mmengine - INFO - Epoch(train) [138][2800/3757] lr: 4.4489e-02 eta: 2 days, 1:29:06 time: 0.4113 data_time: 0.0157 memory: 13431 grad_norm: 3.1660 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3422 loss: 2.3422 2022/08/15 18:05:51 - mmengine - INFO - Epoch(train) [138][2900/3757] lr: 4.4489e-02 eta: 2 days, 1:28:26 time: 0.4057 data_time: 0.0155 memory: 13431 grad_norm: 3.0804 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6421 loss: 2.6421 2022/08/15 18:06:31 - mmengine - INFO - Epoch(train) [138][3000/3757] lr: 4.4489e-02 eta: 2 days, 1:27:46 time: 0.4090 data_time: 0.0147 memory: 13431 grad_norm: 3.0811 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4957 loss: 2.4957 2022/08/15 18:07:12 - mmengine - INFO - Epoch(train) [138][3100/3757] lr: 4.4489e-02 eta: 2 days, 1:27:06 time: 0.4011 data_time: 0.0144 memory: 13431 grad_norm: 3.0565 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.7161 loss: 2.7161 2022/08/15 18:07:53 - mmengine - INFO - Epoch(train) [138][3200/3757] lr: 4.4489e-02 eta: 2 days, 1:26:27 time: 0.4085 data_time: 0.0146 memory: 13431 grad_norm: 3.0209 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6198 loss: 2.6198 2022/08/15 18:08:30 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 18:08:33 - mmengine - INFO - Epoch(train) [138][3300/3757] lr: 4.4489e-02 eta: 2 days, 1:25:47 time: 0.4015 data_time: 0.0147 memory: 13431 grad_norm: 3.1785 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6765 loss: 2.6765 2022/08/15 18:09:14 - mmengine - INFO - Epoch(train) [138][3400/3757] lr: 4.4489e-02 eta: 2 days, 1:25:07 time: 0.4012 data_time: 0.0147 memory: 13431 grad_norm: 3.1086 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9191 loss: 2.9191 2022/08/15 18:09:54 - mmengine - INFO - Epoch(train) [138][3500/3757] lr: 4.4489e-02 eta: 2 days, 1:24:27 time: 0.4021 data_time: 0.0145 memory: 13431 grad_norm: 3.0254 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7258 loss: 2.7258 2022/08/15 18:10:35 - mmengine - INFO - Epoch(train) [138][3600/3757] lr: 4.4489e-02 eta: 2 days, 1:23:48 time: 0.4034 data_time: 0.0153 memory: 13431 grad_norm: 3.0713 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3383 loss: 2.3383 2022/08/15 18:11:16 - mmengine - INFO - Epoch(train) [138][3700/3757] lr: 4.4489e-02 eta: 2 days, 1:23:08 time: 0.4062 data_time: 0.0149 memory: 13431 grad_norm: 3.0862 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1154 loss: 2.1154 2022/08/15 18:11:39 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 18:11:39 - mmengine - INFO - Epoch(train) [138][3757/3757] lr: 4.4489e-02 eta: 2 days, 1:22:52 time: 0.3901 data_time: 0.0148 memory: 13431 grad_norm: 3.1912 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 2.5134 loss: 2.5134 2022/08/15 18:12:22 - mmengine - INFO - Epoch(train) [139][100/3757] lr: 4.3879e-02 eta: 2 days, 1:22:02 time: 0.4073 data_time: 0.0154 memory: 13431 grad_norm: 3.0984 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3919 loss: 2.3919 2022/08/15 18:13:03 - mmengine - INFO - Epoch(train) [139][200/3757] lr: 4.3879e-02 eta: 2 days, 1:21:22 time: 0.4070 data_time: 0.0144 memory: 13431 grad_norm: 3.1281 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7540 loss: 2.7540 2022/08/15 18:13:43 - mmengine - INFO - Epoch(train) [139][300/3757] lr: 4.3879e-02 eta: 2 days, 1:20:42 time: 0.4026 data_time: 0.0143 memory: 13431 grad_norm: 3.1648 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4492 loss: 2.4492 2022/08/15 18:14:24 - mmengine - INFO - Epoch(train) [139][400/3757] lr: 4.3879e-02 eta: 2 days, 1:20:03 time: 0.4021 data_time: 0.0149 memory: 13431 grad_norm: 3.1594 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2867 loss: 2.2867 2022/08/15 18:15:05 - mmengine - INFO - Epoch(train) [139][500/3757] lr: 4.3879e-02 eta: 2 days, 1:19:23 time: 0.4096 data_time: 0.0156 memory: 13431 grad_norm: 3.1925 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5480 loss: 2.5480 2022/08/15 18:15:18 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 18:15:45 - mmengine - INFO - Epoch(train) [139][600/3757] lr: 4.3879e-02 eta: 2 days, 1:18:43 time: 0.4038 data_time: 0.0146 memory: 13431 grad_norm: 3.0849 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1522 loss: 2.1522 2022/08/15 18:16:26 - mmengine - INFO - Epoch(train) [139][700/3757] lr: 4.3879e-02 eta: 2 days, 1:18:03 time: 0.4034 data_time: 0.0150 memory: 13431 grad_norm: 3.1767 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5385 loss: 2.5385 2022/08/15 18:17:06 - mmengine - INFO - Epoch(train) [139][800/3757] lr: 4.3879e-02 eta: 2 days, 1:17:23 time: 0.4069 data_time: 0.0146 memory: 13431 grad_norm: 3.1099 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5572 loss: 2.5572 2022/08/15 18:17:47 - mmengine - INFO - Epoch(train) [139][900/3757] lr: 4.3879e-02 eta: 2 days, 1:16:44 time: 0.4094 data_time: 0.0153 memory: 13431 grad_norm: 3.0488 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5135 loss: 2.5135 2022/08/15 18:18:28 - mmengine - INFO - Epoch(train) [139][1000/3757] lr: 4.3879e-02 eta: 2 days, 1:16:04 time: 0.4041 data_time: 0.0150 memory: 13431 grad_norm: 3.1296 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5286 loss: 2.5286 2022/08/15 18:19:08 - mmengine - INFO - Epoch(train) [139][1100/3757] lr: 4.3879e-02 eta: 2 days, 1:15:24 time: 0.4038 data_time: 0.0154 memory: 13431 grad_norm: 3.1482 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5326 loss: 2.5326 2022/08/15 18:19:49 - mmengine - INFO - Epoch(train) [139][1200/3757] lr: 4.3879e-02 eta: 2 days, 1:14:45 time: 0.4116 data_time: 0.0146 memory: 13431 grad_norm: 3.1136 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7993 loss: 2.7993 2022/08/15 18:20:30 - mmengine - INFO - Epoch(train) [139][1300/3757] lr: 4.3879e-02 eta: 2 days, 1:14:05 time: 0.4030 data_time: 0.0154 memory: 13431 grad_norm: 2.9898 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6253 loss: 2.6253 2022/08/15 18:21:10 - mmengine - INFO - Epoch(train) [139][1400/3757] lr: 4.3879e-02 eta: 2 days, 1:13:25 time: 0.4022 data_time: 0.0149 memory: 13431 grad_norm: 3.1058 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.6805 loss: 2.6805 2022/08/15 18:21:51 - mmengine - INFO - Epoch(train) [139][1500/3757] lr: 4.3879e-02 eta: 2 days, 1:12:45 time: 0.4150 data_time: 0.0166 memory: 13431 grad_norm: 3.1190 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3818 loss: 2.3818 2022/08/15 18:22:05 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 18:22:32 - mmengine - INFO - Epoch(train) [139][1600/3757] lr: 4.3879e-02 eta: 2 days, 1:12:06 time: 0.4099 data_time: 0.0144 memory: 13431 grad_norm: 3.2199 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3584 loss: 2.3584 2022/08/15 18:23:13 - mmengine - INFO - Epoch(train) [139][1700/3757] lr: 4.3879e-02 eta: 2 days, 1:11:26 time: 0.4052 data_time: 0.0140 memory: 13431 grad_norm: 3.0333 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3818 loss: 2.3818 2022/08/15 18:23:53 - mmengine - INFO - Epoch(train) [139][1800/3757] lr: 4.3879e-02 eta: 2 days, 1:10:46 time: 0.4016 data_time: 0.0166 memory: 13431 grad_norm: 3.1431 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5165 loss: 2.5165 2022/08/15 18:24:34 - mmengine - INFO - Epoch(train) [139][1900/3757] lr: 4.3879e-02 eta: 2 days, 1:10:06 time: 0.4081 data_time: 0.0152 memory: 13431 grad_norm: 3.1845 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5233 loss: 2.5233 2022/08/15 18:25:14 - mmengine - INFO - Epoch(train) [139][2000/3757] lr: 4.3879e-02 eta: 2 days, 1:09:27 time: 0.4005 data_time: 0.0145 memory: 13431 grad_norm: 3.2578 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.4891 loss: 2.4891 2022/08/15 18:25:55 - mmengine - INFO - Epoch(train) [139][2100/3757] lr: 4.3879e-02 eta: 2 days, 1:08:47 time: 0.4003 data_time: 0.0149 memory: 13431 grad_norm: 3.1494 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5212 loss: 2.5212 2022/08/15 18:26:36 - mmengine - INFO - Epoch(train) [139][2200/3757] lr: 4.3879e-02 eta: 2 days, 1:08:07 time: 0.4048 data_time: 0.0150 memory: 13431 grad_norm: 3.0575 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.5079 loss: 2.5079 2022/08/15 18:27:16 - mmengine - INFO - Epoch(train) [139][2300/3757] lr: 4.3879e-02 eta: 2 days, 1:07:28 time: 0.4074 data_time: 0.0156 memory: 13431 grad_norm: 3.0411 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.2335 loss: 2.2335 2022/08/15 18:27:57 - mmengine - INFO - Epoch(train) [139][2400/3757] lr: 4.3879e-02 eta: 2 days, 1:06:48 time: 0.4032 data_time: 0.0147 memory: 13431 grad_norm: 3.1713 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3237 loss: 2.3237 2022/08/15 18:28:38 - mmengine - INFO - Epoch(train) [139][2500/3757] lr: 4.3879e-02 eta: 2 days, 1:06:08 time: 0.4052 data_time: 0.0140 memory: 13431 grad_norm: 3.1163 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3524 loss: 2.3524 2022/08/15 18:28:51 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 18:29:18 - mmengine - INFO - Epoch(train) [139][2600/3757] lr: 4.3879e-02 eta: 2 days, 1:05:28 time: 0.4026 data_time: 0.0151 memory: 13431 grad_norm: 3.2197 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4500 loss: 2.4500 2022/08/15 18:29:59 - mmengine - INFO - Epoch(train) [139][2700/3757] lr: 4.3879e-02 eta: 2 days, 1:04:48 time: 0.4058 data_time: 0.0149 memory: 13431 grad_norm: 3.1125 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3508 loss: 2.3508 2022/08/15 18:30:40 - mmengine - INFO - Epoch(train) [139][2800/3757] lr: 4.3879e-02 eta: 2 days, 1:04:09 time: 0.4042 data_time: 0.0156 memory: 13431 grad_norm: 3.1228 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3436 loss: 2.3436 2022/08/15 18:31:20 - mmengine - INFO - Epoch(train) [139][2900/3757] lr: 4.3879e-02 eta: 2 days, 1:03:29 time: 0.4028 data_time: 0.0154 memory: 13431 grad_norm: 3.1041 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4873 loss: 2.4873 2022/08/15 18:32:01 - mmengine - INFO - Epoch(train) [139][3000/3757] lr: 4.3879e-02 eta: 2 days, 1:02:49 time: 0.4030 data_time: 0.0155 memory: 13431 grad_norm: 3.0808 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5136 loss: 2.5136 2022/08/15 18:32:42 - mmengine - INFO - Epoch(train) [139][3100/3757] lr: 4.3879e-02 eta: 2 days, 1:02:10 time: 0.4060 data_time: 0.0148 memory: 13431 grad_norm: 3.2219 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6885 loss: 2.6885 2022/08/15 18:33:22 - mmengine - INFO - Epoch(train) [139][3200/3757] lr: 4.3879e-02 eta: 2 days, 1:01:30 time: 0.4033 data_time: 0.0171 memory: 13431 grad_norm: 3.0262 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1606 loss: 2.1606 2022/08/15 18:34:03 - mmengine - INFO - Epoch(train) [139][3300/3757] lr: 4.3879e-02 eta: 2 days, 1:00:50 time: 0.4046 data_time: 0.0167 memory: 13431 grad_norm: 3.0660 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4926 loss: 2.4926 2022/08/15 18:34:44 - mmengine - INFO - Epoch(train) [139][3400/3757] lr: 4.3879e-02 eta: 2 days, 1:00:10 time: 0.4027 data_time: 0.0153 memory: 13431 grad_norm: 3.0997 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1795 loss: 2.1795 2022/08/15 18:35:24 - mmengine - INFO - Epoch(train) [139][3500/3757] lr: 4.3879e-02 eta: 2 days, 0:59:31 time: 0.4046 data_time: 0.0148 memory: 13431 grad_norm: 3.1133 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4560 loss: 2.4560 2022/08/15 18:35:38 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 18:36:05 - mmengine - INFO - Epoch(train) [139][3600/3757] lr: 4.3879e-02 eta: 2 days, 0:58:51 time: 0.4031 data_time: 0.0144 memory: 13431 grad_norm: 3.1721 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5295 loss: 2.5295 2022/08/15 18:36:46 - mmengine - INFO - Epoch(train) [139][3700/3757] lr: 4.3879e-02 eta: 2 days, 0:58:11 time: 0.4059 data_time: 0.0146 memory: 13431 grad_norm: 3.1134 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4420 loss: 2.4420 2022/08/15 18:37:09 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 18:37:09 - mmengine - INFO - Epoch(train) [139][3757/3757] lr: 4.3879e-02 eta: 2 days, 0:57:55 time: 0.3910 data_time: 0.0139 memory: 13431 grad_norm: 3.0004 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 2.4279 loss: 2.4279 2022/08/15 18:37:52 - mmengine - INFO - Epoch(train) [140][100/3757] lr: 4.3271e-02 eta: 2 days, 0:57:05 time: 0.4032 data_time: 0.0152 memory: 13431 grad_norm: 3.1859 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6365 loss: 2.6365 2022/08/15 18:38:33 - mmengine - INFO - Epoch(train) [140][200/3757] lr: 4.3271e-02 eta: 2 days, 0:56:25 time: 0.4027 data_time: 0.0149 memory: 13431 grad_norm: 3.0688 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8250 loss: 2.8250 2022/08/15 18:39:13 - mmengine - INFO - Epoch(train) [140][300/3757] lr: 4.3271e-02 eta: 2 days, 0:55:46 time: 0.4022 data_time: 0.0145 memory: 13431 grad_norm: 3.0642 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7273 loss: 2.7273 2022/08/15 18:39:54 - mmengine - INFO - Epoch(train) [140][400/3757] lr: 4.3271e-02 eta: 2 days, 0:55:06 time: 0.4062 data_time: 0.0154 memory: 13431 grad_norm: 3.1253 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6082 loss: 2.6082 2022/08/15 18:40:34 - mmengine - INFO - Epoch(train) [140][500/3757] lr: 4.3271e-02 eta: 2 days, 0:54:26 time: 0.4045 data_time: 0.0155 memory: 13431 grad_norm: 3.1868 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7893 loss: 2.7893 2022/08/15 18:41:15 - mmengine - INFO - Epoch(train) [140][600/3757] lr: 4.3271e-02 eta: 2 days, 0:53:46 time: 0.4101 data_time: 0.0154 memory: 13431 grad_norm: 3.1623 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3489 loss: 2.3489 2022/08/15 18:41:56 - mmengine - INFO - Epoch(train) [140][700/3757] lr: 4.3271e-02 eta: 2 days, 0:53:07 time: 0.4019 data_time: 0.0152 memory: 13431 grad_norm: 3.1695 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7399 loss: 2.7399 2022/08/15 18:42:27 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 18:42:36 - mmengine - INFO - Epoch(train) [140][800/3757] lr: 4.3271e-02 eta: 2 days, 0:52:27 time: 0.4023 data_time: 0.0159 memory: 13431 grad_norm: 3.1268 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2781 loss: 2.2781 2022/08/15 18:43:17 - mmengine - INFO - Epoch(train) [140][900/3757] lr: 4.3271e-02 eta: 2 days, 0:51:47 time: 0.4008 data_time: 0.0145 memory: 13431 grad_norm: 3.0785 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5994 loss: 2.5994 2022/08/15 18:43:58 - mmengine - INFO - Epoch(train) [140][1000/3757] lr: 4.3271e-02 eta: 2 days, 0:51:07 time: 0.4053 data_time: 0.0153 memory: 13431 grad_norm: 3.2643 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4392 loss: 2.4392 2022/08/15 18:44:38 - mmengine - INFO - Epoch(train) [140][1100/3757] lr: 4.3271e-02 eta: 2 days, 0:50:28 time: 0.4027 data_time: 0.0162 memory: 13431 grad_norm: 3.1004 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6091 loss: 2.6091 2022/08/15 18:45:19 - mmengine - INFO - Epoch(train) [140][1200/3757] lr: 4.3271e-02 eta: 2 days, 0:49:48 time: 0.4041 data_time: 0.0144 memory: 13431 grad_norm: 3.1189 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3858 loss: 2.3858 2022/08/15 18:46:00 - mmengine - INFO - Epoch(train) [140][1300/3757] lr: 4.3271e-02 eta: 2 days, 0:49:08 time: 0.4109 data_time: 0.0152 memory: 13431 grad_norm: 3.0995 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6625 loss: 2.6625 2022/08/15 18:46:40 - mmengine - INFO - Epoch(train) [140][1400/3757] lr: 4.3271e-02 eta: 2 days, 0:48:28 time: 0.4033 data_time: 0.0148 memory: 13431 grad_norm: 3.1196 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.5057 loss: 2.5057 2022/08/15 18:47:21 - mmengine - INFO - Epoch(train) [140][1500/3757] lr: 4.3271e-02 eta: 2 days, 0:47:48 time: 0.4013 data_time: 0.0142 memory: 13431 grad_norm: 3.1587 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4069 loss: 2.4069 2022/08/15 18:48:01 - mmengine - INFO - Epoch(train) [140][1600/3757] lr: 4.3271e-02 eta: 2 days, 0:47:09 time: 0.4023 data_time: 0.0146 memory: 13431 grad_norm: 3.1352 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5273 loss: 2.5273 2022/08/15 18:48:42 - mmengine - INFO - Epoch(train) [140][1700/3757] lr: 4.3271e-02 eta: 2 days, 0:46:29 time: 0.4027 data_time: 0.0148 memory: 13431 grad_norm: 3.2021 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.3710 loss: 2.3710 2022/08/15 18:49:14 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 18:49:23 - mmengine - INFO - Epoch(train) [140][1800/3757] lr: 4.3271e-02 eta: 2 days, 0:45:49 time: 0.4053 data_time: 0.0178 memory: 13431 grad_norm: 3.0744 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3841 loss: 2.3841 2022/08/15 18:50:04 - mmengine - INFO - Epoch(train) [140][1900/3757] lr: 4.3271e-02 eta: 2 days, 0:45:09 time: 0.4057 data_time: 0.0156 memory: 13431 grad_norm: 3.1683 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3796 loss: 2.3796 2022/08/15 18:50:45 - mmengine - INFO - Epoch(train) [140][2000/3757] lr: 4.3271e-02 eta: 2 days, 0:44:30 time: 0.4106 data_time: 0.0149 memory: 13431 grad_norm: 3.0626 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5449 loss: 2.5449 2022/08/15 18:51:25 - mmengine - INFO - Epoch(train) [140][2100/3757] lr: 4.3271e-02 eta: 2 days, 0:43:50 time: 0.4081 data_time: 0.0164 memory: 13431 grad_norm: 3.1916 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5986 loss: 2.5986 2022/08/15 18:52:06 - mmengine - INFO - Epoch(train) [140][2200/3757] lr: 4.3271e-02 eta: 2 days, 0:43:10 time: 0.4013 data_time: 0.0151 memory: 13431 grad_norm: 3.0536 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4341 loss: 2.4341 2022/08/15 18:52:46 - mmengine - INFO - Epoch(train) [140][2300/3757] lr: 4.3271e-02 eta: 2 days, 0:42:31 time: 0.4008 data_time: 0.0148 memory: 13431 grad_norm: 3.0895 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6161 loss: 2.6161 2022/08/15 18:53:27 - mmengine - INFO - Epoch(train) [140][2400/3757] lr: 4.3271e-02 eta: 2 days, 0:41:51 time: 0.4030 data_time: 0.0151 memory: 13431 grad_norm: 3.1832 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3121 loss: 2.3121 2022/08/15 18:54:08 - mmengine - INFO - Epoch(train) [140][2500/3757] lr: 4.3271e-02 eta: 2 days, 0:41:11 time: 0.4022 data_time: 0.0141 memory: 13431 grad_norm: 3.0620 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5004 loss: 2.5004 2022/08/15 18:54:49 - mmengine - INFO - Epoch(train) [140][2600/3757] lr: 4.3271e-02 eta: 2 days, 0:40:32 time: 0.4043 data_time: 0.0145 memory: 13431 grad_norm: 3.1525 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4472 loss: 2.4472 2022/08/15 18:55:30 - mmengine - INFO - Epoch(train) [140][2700/3757] lr: 4.3271e-02 eta: 2 days, 0:39:52 time: 0.4093 data_time: 0.0138 memory: 13431 grad_norm: 3.2154 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4073 loss: 2.4073 2022/08/15 18:56:02 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 18:56:11 - mmengine - INFO - Epoch(train) [140][2800/3757] lr: 4.3271e-02 eta: 2 days, 0:39:13 time: 0.4018 data_time: 0.0147 memory: 13431 grad_norm: 3.2019 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1905 loss: 2.1905 2022/08/15 18:56:51 - mmengine - INFO - Epoch(train) [140][2900/3757] lr: 4.3271e-02 eta: 2 days, 0:38:33 time: 0.4041 data_time: 0.0153 memory: 13431 grad_norm: 3.2575 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6216 loss: 2.6216 2022/08/15 18:57:32 - mmengine - INFO - Epoch(train) [140][3000/3757] lr: 4.3271e-02 eta: 2 days, 0:37:53 time: 0.4031 data_time: 0.0155 memory: 13431 grad_norm: 3.0696 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3706 loss: 2.3706 2022/08/15 18:58:12 - mmengine - INFO - Epoch(train) [140][3100/3757] lr: 4.3271e-02 eta: 2 days, 0:37:13 time: 0.4033 data_time: 0.0142 memory: 13431 grad_norm: 3.2180 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6145 loss: 2.6145 2022/08/15 18:58:53 - mmengine - INFO - Epoch(train) [140][3200/3757] lr: 4.3271e-02 eta: 2 days, 0:36:34 time: 0.4023 data_time: 0.0156 memory: 13431 grad_norm: 3.2003 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.4650 loss: 2.4650 2022/08/15 18:59:34 - mmengine - INFO - Epoch(train) [140][3300/3757] lr: 4.3271e-02 eta: 2 days, 0:35:54 time: 0.4032 data_time: 0.0162 memory: 13431 grad_norm: 3.2037 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5934 loss: 2.5934 2022/08/15 19:00:14 - mmengine - INFO - Epoch(train) [140][3400/3757] lr: 4.3271e-02 eta: 2 days, 0:35:14 time: 0.4005 data_time: 0.0166 memory: 13431 grad_norm: 3.1839 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5259 loss: 2.5259 2022/08/15 19:00:55 - mmengine - INFO - Epoch(train) [140][3500/3757] lr: 4.3271e-02 eta: 2 days, 0:34:34 time: 0.4027 data_time: 0.0167 memory: 13431 grad_norm: 3.2171 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7414 loss: 2.7414 2022/08/15 19:01:36 - mmengine - INFO - Epoch(train) [140][3600/3757] lr: 4.3271e-02 eta: 2 days, 0:33:55 time: 0.4044 data_time: 0.0144 memory: 13431 grad_norm: 3.2053 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4047 loss: 2.4047 2022/08/15 19:02:16 - mmengine - INFO - Epoch(train) [140][3700/3757] lr: 4.3271e-02 eta: 2 days, 0:33:15 time: 0.4024 data_time: 0.0163 memory: 13431 grad_norm: 3.0774 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1849 loss: 2.1849 2022/08/15 19:02:39 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 19:02:39 - mmengine - INFO - Epoch(train) [140][3757/3757] lr: 4.3271e-02 eta: 2 days, 0:32:59 time: 0.3903 data_time: 0.0142 memory: 13431 grad_norm: 3.2168 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 2.4157 loss: 2.4157 2022/08/15 19:02:39 - mmengine - INFO - Saving checkpoint at 140 epochs 2022/08/15 19:03:08 - mmengine - INFO - Epoch(val) [140][100/310] eta: 0:00:42 time: 0.2036 data_time: 0.0718 memory: 1974 2022/08/15 19:03:30 - mmengine - INFO - Epoch(val) [140][200/310] eta: 0:00:20 time: 0.1906 data_time: 0.0600 memory: 1974 2022/08/15 19:03:49 - mmengine - INFO - Epoch(val) [140][300/310] eta: 0:00:01 time: 0.1272 data_time: 0.0188 memory: 1974 2022/08/15 19:03:52 - mmengine - INFO - Epoch(val) [140][310/310] acc/top1: 0.4945 acc/top5: 0.7620 acc/mean1: 0.4943 2022/08/15 19:03:52 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_136.pth is removed 2022/08/15 19:03:56 - mmengine - INFO - The best checkpoint with 0.4945 acc/top1 at 141 epoch is saved to best_acc/top1_epoch_141.pth. 2022/08/15 19:04:05 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 19:04:37 - mmengine - INFO - Epoch(train) [141][100/3757] lr: 4.2663e-02 eta: 2 days, 0:32:07 time: 0.4025 data_time: 0.0151 memory: 13431 grad_norm: 3.1497 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5355 loss: 2.5355 2022/08/15 19:05:18 - mmengine - INFO - Epoch(train) [141][200/3757] lr: 4.2663e-02 eta: 2 days, 0:31:27 time: 0.4019 data_time: 0.0146 memory: 13431 grad_norm: 3.1354 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.4531 loss: 2.4531 2022/08/15 19:05:58 - mmengine - INFO - Epoch(train) [141][300/3757] lr: 4.2663e-02 eta: 2 days, 0:30:48 time: 0.4041 data_time: 0.0143 memory: 13431 grad_norm: 3.2170 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5561 loss: 2.5561 2022/08/15 19:06:39 - mmengine - INFO - Epoch(train) [141][400/3757] lr: 4.2663e-02 eta: 2 days, 0:30:08 time: 0.4010 data_time: 0.0155 memory: 13431 grad_norm: 3.1096 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.4276 loss: 2.4276 2022/08/15 19:07:20 - mmengine - INFO - Epoch(train) [141][500/3757] lr: 4.2663e-02 eta: 2 days, 0:29:28 time: 0.4082 data_time: 0.0158 memory: 13431 grad_norm: 3.1672 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2262 loss: 2.2262 2022/08/15 19:08:00 - mmengine - INFO - Epoch(train) [141][600/3757] lr: 4.2663e-02 eta: 2 days, 0:28:48 time: 0.4086 data_time: 0.0148 memory: 13431 grad_norm: 3.2283 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.3845 loss: 2.3845 2022/08/15 19:08:41 - mmengine - INFO - Epoch(train) [141][700/3757] lr: 4.2663e-02 eta: 2 days, 0:28:08 time: 0.4017 data_time: 0.0149 memory: 13431 grad_norm: 3.2118 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3888 loss: 2.3888 2022/08/15 19:09:22 - mmengine - INFO - Epoch(train) [141][800/3757] lr: 4.2663e-02 eta: 2 days, 0:27:29 time: 0.4023 data_time: 0.0155 memory: 13431 grad_norm: 3.1115 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6399 loss: 2.6399 2022/08/15 19:10:02 - mmengine - INFO - Epoch(train) [141][900/3757] lr: 4.2663e-02 eta: 2 days, 0:26:49 time: 0.4039 data_time: 0.0151 memory: 13431 grad_norm: 3.1462 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4751 loss: 2.4751 2022/08/15 19:10:43 - mmengine - INFO - Epoch(train) [141][1000/3757] lr: 4.2663e-02 eta: 2 days, 0:26:09 time: 0.4075 data_time: 0.0179 memory: 13431 grad_norm: 3.1781 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2562 loss: 2.2562 2022/08/15 19:10:51 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 19:11:23 - mmengine - INFO - Epoch(train) [141][1100/3757] lr: 4.2663e-02 eta: 2 days, 0:25:29 time: 0.4044 data_time: 0.0159 memory: 13431 grad_norm: 3.2146 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.5337 loss: 2.5337 2022/08/15 19:12:04 - mmengine - INFO - Epoch(train) [141][1200/3757] lr: 4.2663e-02 eta: 2 days, 0:24:49 time: 0.4018 data_time: 0.0145 memory: 13431 grad_norm: 3.2693 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3442 loss: 2.3442 2022/08/15 19:12:45 - mmengine - INFO - Epoch(train) [141][1300/3757] lr: 4.2663e-02 eta: 2 days, 0:24:10 time: 0.4078 data_time: 0.0159 memory: 13431 grad_norm: 3.1719 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.7320 loss: 2.7320 2022/08/15 19:13:25 - mmengine - INFO - Epoch(train) [141][1400/3757] lr: 4.2663e-02 eta: 2 days, 0:23:30 time: 0.4024 data_time: 0.0147 memory: 13431 grad_norm: 3.0752 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5074 loss: 2.5074 2022/08/15 19:14:06 - mmengine - INFO - Epoch(train) [141][1500/3757] lr: 4.2663e-02 eta: 2 days, 0:22:50 time: 0.4036 data_time: 0.0140 memory: 13431 grad_norm: 3.1846 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4500 loss: 2.4500 2022/08/15 19:14:47 - mmengine - INFO - Epoch(train) [141][1600/3757] lr: 4.2663e-02 eta: 2 days, 0:22:10 time: 0.4080 data_time: 0.0151 memory: 13431 grad_norm: 3.1577 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3292 loss: 2.3292 2022/08/15 19:15:27 - mmengine - INFO - Epoch(train) [141][1700/3757] lr: 4.2663e-02 eta: 2 days, 0:21:31 time: 0.4059 data_time: 0.0147 memory: 13431 grad_norm: 3.1987 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7853 loss: 2.7853 2022/08/15 19:16:08 - mmengine - INFO - Epoch(train) [141][1800/3757] lr: 4.2663e-02 eta: 2 days, 0:20:51 time: 0.4039 data_time: 0.0178 memory: 13431 grad_norm: 3.0869 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5830 loss: 2.5830 2022/08/15 19:16:48 - mmengine - INFO - Epoch(train) [141][1900/3757] lr: 4.2663e-02 eta: 2 days, 0:20:11 time: 0.4025 data_time: 0.0153 memory: 13431 grad_norm: 3.2665 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7706 loss: 2.7706 2022/08/15 19:17:29 - mmengine - INFO - Epoch(train) [141][2000/3757] lr: 4.2663e-02 eta: 2 days, 0:19:31 time: 0.4095 data_time: 0.0148 memory: 13431 grad_norm: 3.1343 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4062 loss: 2.4062 2022/08/15 19:17:37 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 19:18:10 - mmengine - INFO - Epoch(train) [141][2100/3757] lr: 4.2663e-02 eta: 2 days, 0:18:51 time: 0.4003 data_time: 0.0141 memory: 13431 grad_norm: 3.1112 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.4147 loss: 2.4147 2022/08/15 19:18:50 - mmengine - INFO - Epoch(train) [141][2200/3757] lr: 4.2663e-02 eta: 2 days, 0:18:12 time: 0.4026 data_time: 0.0144 memory: 13431 grad_norm: 3.3325 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6844 loss: 2.6844 2022/08/15 19:19:31 - mmengine - INFO - Epoch(train) [141][2300/3757] lr: 4.2663e-02 eta: 2 days, 0:17:32 time: 0.4119 data_time: 0.0156 memory: 13431 grad_norm: 3.1945 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8929 loss: 2.8929 2022/08/15 19:20:12 - mmengine - INFO - Epoch(train) [141][2400/3757] lr: 4.2663e-02 eta: 2 days, 0:16:52 time: 0.4158 data_time: 0.0146 memory: 13431 grad_norm: 3.2337 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6068 loss: 2.6068 2022/08/15 19:20:52 - mmengine - INFO - Epoch(train) [141][2500/3757] lr: 4.2663e-02 eta: 2 days, 0:16:13 time: 0.4036 data_time: 0.0148 memory: 13431 grad_norm: 3.1927 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4048 loss: 2.4048 2022/08/15 19:21:33 - mmengine - INFO - Epoch(train) [141][2600/3757] lr: 4.2663e-02 eta: 2 days, 0:15:33 time: 0.4054 data_time: 0.0152 memory: 13431 grad_norm: 3.1268 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4845 loss: 2.4845 2022/08/15 19:22:14 - mmengine - INFO - Epoch(train) [141][2700/3757] lr: 4.2663e-02 eta: 2 days, 0:14:53 time: 0.4085 data_time: 0.0146 memory: 13431 grad_norm: 3.2139 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3199 loss: 2.3199 2022/08/15 19:22:55 - mmengine - INFO - Epoch(train) [141][2800/3757] lr: 4.2663e-02 eta: 2 days, 0:14:14 time: 0.4066 data_time: 0.0172 memory: 13431 grad_norm: 3.1450 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6238 loss: 2.6238 2022/08/15 19:23:36 - mmengine - INFO - Epoch(train) [141][2900/3757] lr: 4.2663e-02 eta: 2 days, 0:13:34 time: 0.4028 data_time: 0.0159 memory: 13431 grad_norm: 3.2726 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7304 loss: 2.7304 2022/08/15 19:24:16 - mmengine - INFO - Epoch(train) [141][3000/3757] lr: 4.2663e-02 eta: 2 days, 0:12:54 time: 0.4095 data_time: 0.0155 memory: 13431 grad_norm: 3.1777 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5881 loss: 2.5881 2022/08/15 19:24:24 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 19:24:57 - mmengine - INFO - Epoch(train) [141][3100/3757] lr: 4.2663e-02 eta: 2 days, 0:12:15 time: 0.4119 data_time: 0.0149 memory: 13431 grad_norm: 3.0704 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5529 loss: 2.5529 2022/08/15 19:25:38 - mmengine - INFO - Epoch(train) [141][3200/3757] lr: 4.2663e-02 eta: 2 days, 0:11:35 time: 0.4006 data_time: 0.0149 memory: 13431 grad_norm: 3.1555 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6551 loss: 2.6551 2022/08/15 19:26:18 - mmengine - INFO - Epoch(train) [141][3300/3757] lr: 4.2663e-02 eta: 2 days, 0:10:55 time: 0.4033 data_time: 0.0148 memory: 13431 grad_norm: 3.0585 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4849 loss: 2.4849 2022/08/15 19:26:59 - mmengine - INFO - Epoch(train) [141][3400/3757] lr: 4.2663e-02 eta: 2 days, 0:10:15 time: 0.4081 data_time: 0.0143 memory: 13431 grad_norm: 3.1244 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7050 loss: 2.7050 2022/08/15 19:27:40 - mmengine - INFO - Epoch(train) [141][3500/3757] lr: 4.2663e-02 eta: 2 days, 0:09:35 time: 0.4011 data_time: 0.0144 memory: 13431 grad_norm: 3.1387 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5357 loss: 2.5357 2022/08/15 19:28:20 - mmengine - INFO - Epoch(train) [141][3600/3757] lr: 4.2663e-02 eta: 2 days, 0:08:56 time: 0.4039 data_time: 0.0148 memory: 13431 grad_norm: 3.1251 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5303 loss: 2.5303 2022/08/15 19:29:01 - mmengine - INFO - Epoch(train) [141][3700/3757] lr: 4.2663e-02 eta: 2 days, 0:08:16 time: 0.4104 data_time: 0.0191 memory: 13431 grad_norm: 3.1019 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6325 loss: 2.6325 2022/08/15 19:29:24 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 19:29:24 - mmengine - INFO - Epoch(train) [141][3757/3757] lr: 4.2663e-02 eta: 2 days, 0:08:00 time: 0.3926 data_time: 0.0139 memory: 13431 grad_norm: 3.1843 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.7249 loss: 2.7249 2022/08/15 19:30:08 - mmengine - INFO - Epoch(train) [142][100/3757] lr: 4.2057e-02 eta: 2 days, 0:07:10 time: 0.4060 data_time: 0.0154 memory: 13431 grad_norm: 3.0852 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4215 loss: 2.4215 2022/08/15 19:30:48 - mmengine - INFO - Epoch(train) [142][200/3757] lr: 4.2057e-02 eta: 2 days, 0:06:30 time: 0.4017 data_time: 0.0156 memory: 13431 grad_norm: 3.2719 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4726 loss: 2.4726 2022/08/15 19:31:14 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 19:31:29 - mmengine - INFO - Epoch(train) [142][300/3757] lr: 4.2057e-02 eta: 2 days, 0:05:51 time: 0.4052 data_time: 0.0164 memory: 13431 grad_norm: 3.2289 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5965 loss: 2.5965 2022/08/15 19:32:09 - mmengine - INFO - Epoch(train) [142][400/3757] lr: 4.2057e-02 eta: 2 days, 0:05:11 time: 0.4025 data_time: 0.0153 memory: 13431 grad_norm: 3.1844 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8123 loss: 2.8123 2022/08/15 19:32:50 - mmengine - INFO - Epoch(train) [142][500/3757] lr: 4.2057e-02 eta: 2 days, 0:04:31 time: 0.4090 data_time: 0.0154 memory: 13431 grad_norm: 3.0838 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6929 loss: 2.6929 2022/08/15 19:33:31 - mmengine - INFO - Epoch(train) [142][600/3757] lr: 4.2057e-02 eta: 2 days, 0:03:51 time: 0.4012 data_time: 0.0147 memory: 13431 grad_norm: 3.1373 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2447 loss: 2.2447 2022/08/15 19:34:11 - mmengine - INFO - Epoch(train) [142][700/3757] lr: 4.2057e-02 eta: 2 days, 0:03:11 time: 0.4014 data_time: 0.0148 memory: 13431 grad_norm: 3.1081 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.5996 loss: 2.5996 2022/08/15 19:34:52 - mmengine - INFO - Epoch(train) [142][800/3757] lr: 4.2057e-02 eta: 2 days, 0:02:32 time: 0.4016 data_time: 0.0145 memory: 13431 grad_norm: 3.2117 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4012 loss: 2.4012 2022/08/15 19:35:33 - mmengine - INFO - Epoch(train) [142][900/3757] lr: 4.2057e-02 eta: 2 days, 0:01:52 time: 0.4092 data_time: 0.0160 memory: 13431 grad_norm: 3.2246 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1463 loss: 2.1463 2022/08/15 19:36:13 - mmengine - INFO - Epoch(train) [142][1000/3757] lr: 4.2057e-02 eta: 2 days, 0:01:12 time: 0.4033 data_time: 0.0153 memory: 13431 grad_norm: 3.1280 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5227 loss: 2.5227 2022/08/15 19:36:54 - mmengine - INFO - Epoch(train) [142][1100/3757] lr: 4.2057e-02 eta: 2 days, 0:00:32 time: 0.4029 data_time: 0.0151 memory: 13431 grad_norm: 3.1478 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5223 loss: 2.5223 2022/08/15 19:37:35 - mmengine - INFO - Epoch(train) [142][1200/3757] lr: 4.2057e-02 eta: 1 day, 23:59:53 time: 0.4068 data_time: 0.0155 memory: 13431 grad_norm: 3.1471 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3874 loss: 2.3874 2022/08/15 19:38:01 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 19:38:15 - mmengine - INFO - Epoch(train) [142][1300/3757] lr: 4.2057e-02 eta: 1 day, 23:59:13 time: 0.4023 data_time: 0.0153 memory: 13431 grad_norm: 3.2047 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4015 loss: 2.4015 2022/08/15 19:38:56 - mmengine - INFO - Epoch(train) [142][1400/3757] lr: 4.2057e-02 eta: 1 day, 23:58:33 time: 0.4041 data_time: 0.0147 memory: 13431 grad_norm: 3.1567 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2920 loss: 2.2920 2022/08/15 19:39:37 - mmengine - INFO - Epoch(train) [142][1500/3757] lr: 4.2057e-02 eta: 1 day, 23:57:54 time: 0.4027 data_time: 0.0150 memory: 13431 grad_norm: 3.2139 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1951 loss: 2.1951 2022/08/15 19:40:18 - mmengine - INFO - Epoch(train) [142][1600/3757] lr: 4.2057e-02 eta: 1 day, 23:57:14 time: 0.4047 data_time: 0.0158 memory: 13431 grad_norm: 3.2776 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0051 loss: 3.0051 2022/08/15 19:40:58 - mmengine - INFO - Epoch(train) [142][1700/3757] lr: 4.2057e-02 eta: 1 day, 23:56:34 time: 0.4031 data_time: 0.0147 memory: 13431 grad_norm: 3.1906 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3821 loss: 2.3821 2022/08/15 19:41:39 - mmengine - INFO - Epoch(train) [142][1800/3757] lr: 4.2057e-02 eta: 1 day, 23:55:54 time: 0.4098 data_time: 0.0153 memory: 13431 grad_norm: 3.2473 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6103 loss: 2.6103 2022/08/15 19:42:20 - mmengine - INFO - Epoch(train) [142][1900/3757] lr: 4.2057e-02 eta: 1 day, 23:55:15 time: 0.4051 data_time: 0.0149 memory: 13431 grad_norm: 3.2378 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3552 loss: 2.3552 2022/08/15 19:43:00 - mmengine - INFO - Epoch(train) [142][2000/3757] lr: 4.2057e-02 eta: 1 day, 23:54:35 time: 0.4029 data_time: 0.0158 memory: 13431 grad_norm: 3.1831 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5141 loss: 2.5141 2022/08/15 19:43:41 - mmengine - INFO - Epoch(train) [142][2100/3757] lr: 4.2057e-02 eta: 1 day, 23:53:55 time: 0.4023 data_time: 0.0144 memory: 13431 grad_norm: 3.1612 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8726 loss: 2.8726 2022/08/15 19:44:22 - mmengine - INFO - Epoch(train) [142][2200/3757] lr: 4.2057e-02 eta: 1 day, 23:53:15 time: 0.4024 data_time: 0.0147 memory: 13431 grad_norm: 3.1657 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4356 loss: 2.4356 2022/08/15 19:44:47 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 19:45:02 - mmengine - INFO - Epoch(train) [142][2300/3757] lr: 4.2057e-02 eta: 1 day, 23:52:35 time: 0.4010 data_time: 0.0144 memory: 13431 grad_norm: 3.2118 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3754 loss: 2.3754 2022/08/15 19:45:43 - mmengine - INFO - Epoch(train) [142][2400/3757] lr: 4.2057e-02 eta: 1 day, 23:51:56 time: 0.4047 data_time: 0.0155 memory: 13431 grad_norm: 3.1284 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4443 loss: 2.4443 2022/08/15 19:46:24 - mmengine - INFO - Epoch(train) [142][2500/3757] lr: 4.2057e-02 eta: 1 day, 23:51:16 time: 0.4045 data_time: 0.0159 memory: 13431 grad_norm: 3.0993 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4852 loss: 2.4852 2022/08/15 19:47:05 - mmengine - INFO - Epoch(train) [142][2600/3757] lr: 4.2057e-02 eta: 1 day, 23:50:36 time: 0.4060 data_time: 0.0154 memory: 13431 grad_norm: 3.2321 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7211 loss: 2.7211 2022/08/15 19:47:45 - mmengine - INFO - Epoch(train) [142][2700/3757] lr: 4.2057e-02 eta: 1 day, 23:49:57 time: 0.4037 data_time: 0.0154 memory: 13431 grad_norm: 3.1382 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7967 loss: 2.7967 2022/08/15 19:48:26 - mmengine - INFO - Epoch(train) [142][2800/3757] lr: 4.2057e-02 eta: 1 day, 23:49:17 time: 0.4007 data_time: 0.0144 memory: 13431 grad_norm: 3.2163 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4268 loss: 2.4268 2022/08/15 19:49:07 - mmengine - INFO - Epoch(train) [142][2900/3757] lr: 4.2057e-02 eta: 1 day, 23:48:37 time: 0.4035 data_time: 0.0161 memory: 13431 grad_norm: 3.2698 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.8298 loss: 2.8298 2022/08/15 19:49:47 - mmengine - INFO - Epoch(train) [142][3000/3757] lr: 4.2057e-02 eta: 1 day, 23:47:57 time: 0.4047 data_time: 0.0149 memory: 13431 grad_norm: 3.2529 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6125 loss: 2.6125 2022/08/15 19:50:28 - mmengine - INFO - Epoch(train) [142][3100/3757] lr: 4.2057e-02 eta: 1 day, 23:47:17 time: 0.4062 data_time: 0.0165 memory: 13431 grad_norm: 3.2364 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5728 loss: 2.5728 2022/08/15 19:51:09 - mmengine - INFO - Epoch(train) [142][3200/3757] lr: 4.2057e-02 eta: 1 day, 23:46:38 time: 0.4062 data_time: 0.0148 memory: 13431 grad_norm: 3.2048 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2151 loss: 2.2151 2022/08/15 19:51:34 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 19:51:49 - mmengine - INFO - Epoch(train) [142][3300/3757] lr: 4.2057e-02 eta: 1 day, 23:45:58 time: 0.4033 data_time: 0.0146 memory: 13431 grad_norm: 3.2155 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6573 loss: 2.6573 2022/08/15 19:52:30 - mmengine - INFO - Epoch(train) [142][3400/3757] lr: 4.2057e-02 eta: 1 day, 23:45:18 time: 0.4025 data_time: 0.0143 memory: 13431 grad_norm: 3.2760 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4268 loss: 2.4268 2022/08/15 19:53:11 - mmengine - INFO - Epoch(train) [142][3500/3757] lr: 4.2057e-02 eta: 1 day, 23:44:38 time: 0.4030 data_time: 0.0165 memory: 13431 grad_norm: 3.0331 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6009 loss: 2.6009 2022/08/15 19:53:51 - mmengine - INFO - Epoch(train) [142][3600/3757] lr: 4.2057e-02 eta: 1 day, 23:43:59 time: 0.4014 data_time: 0.0150 memory: 13431 grad_norm: 3.1342 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6542 loss: 2.6542 2022/08/15 19:54:32 - mmengine - INFO - Epoch(train) [142][3700/3757] lr: 4.2057e-02 eta: 1 day, 23:43:19 time: 0.4016 data_time: 0.0143 memory: 13431 grad_norm: 3.2439 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7911 loss: 2.7911 2022/08/15 19:54:55 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 19:54:55 - mmengine - INFO - Epoch(train) [142][3757/3757] lr: 4.2057e-02 eta: 1 day, 23:43:03 time: 0.3927 data_time: 0.0156 memory: 13431 grad_norm: 3.1265 top1_acc: 0.1429 top5_acc: 0.4286 loss_cls: 2.2743 loss: 2.2743 2022/08/15 19:55:38 - mmengine - INFO - Epoch(train) [143][100/3757] lr: 4.1452e-02 eta: 1 day, 23:42:13 time: 0.4067 data_time: 0.0165 memory: 13431 grad_norm: 3.0707 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3216 loss: 2.3216 2022/08/15 19:56:19 - mmengine - INFO - Epoch(train) [143][200/3757] lr: 4.1452e-02 eta: 1 day, 23:41:33 time: 0.4036 data_time: 0.0150 memory: 13431 grad_norm: 3.1765 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7057 loss: 2.7057 2022/08/15 19:56:59 - mmengine - INFO - Epoch(train) [143][300/3757] lr: 4.1452e-02 eta: 1 day, 23:40:53 time: 0.4033 data_time: 0.0170 memory: 13431 grad_norm: 3.2590 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.5458 loss: 2.5458 2022/08/15 19:57:40 - mmengine - INFO - Epoch(train) [143][400/3757] lr: 4.1452e-02 eta: 1 day, 23:40:13 time: 0.4059 data_time: 0.0159 memory: 13431 grad_norm: 3.1731 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3091 loss: 2.3091 2022/08/15 19:58:21 - mmengine - INFO - Epoch(train) [143][500/3757] lr: 4.1452e-02 eta: 1 day, 23:39:34 time: 0.4045 data_time: 0.0149 memory: 13431 grad_norm: 3.2519 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2996 loss: 2.2996 2022/08/15 19:58:23 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 19:59:01 - mmengine - INFO - Epoch(train) [143][600/3757] lr: 4.1452e-02 eta: 1 day, 23:38:54 time: 0.4056 data_time: 0.0160 memory: 13431 grad_norm: 3.2459 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6736 loss: 2.6736 2022/08/15 19:59:42 - mmengine - INFO - Epoch(train) [143][700/3757] lr: 4.1452e-02 eta: 1 day, 23:38:14 time: 0.4037 data_time: 0.0155 memory: 13431 grad_norm: 3.2431 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.4209 loss: 2.4209 2022/08/15 20:00:23 - mmengine - INFO - Epoch(train) [143][800/3757] lr: 4.1452e-02 eta: 1 day, 23:37:34 time: 0.4009 data_time: 0.0144 memory: 13431 grad_norm: 3.0793 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5713 loss: 2.5713 2022/08/15 20:01:04 - mmengine - INFO - Epoch(train) [143][900/3757] lr: 4.1452e-02 eta: 1 day, 23:36:55 time: 0.4017 data_time: 0.0151 memory: 13431 grad_norm: 3.1613 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6338 loss: 2.6338 2022/08/15 20:01:45 - mmengine - INFO - Epoch(train) [143][1000/3757] lr: 4.1452e-02 eta: 1 day, 23:36:15 time: 0.4024 data_time: 0.0150 memory: 13431 grad_norm: 3.1414 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4420 loss: 2.4420 2022/08/15 20:02:25 - mmengine - INFO - Epoch(train) [143][1100/3757] lr: 4.1452e-02 eta: 1 day, 23:35:36 time: 0.4057 data_time: 0.0161 memory: 13431 grad_norm: 3.3101 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4343 loss: 2.4343 2022/08/15 20:03:06 - mmengine - INFO - Epoch(train) [143][1200/3757] lr: 4.1452e-02 eta: 1 day, 23:34:56 time: 0.4024 data_time: 0.0160 memory: 13431 grad_norm: 3.1101 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4370 loss: 2.4370 2022/08/15 20:03:47 - mmengine - INFO - Epoch(train) [143][1300/3757] lr: 4.1452e-02 eta: 1 day, 23:34:16 time: 0.4046 data_time: 0.0146 memory: 13431 grad_norm: 3.2023 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9205 loss: 2.9205 2022/08/15 20:04:27 - mmengine - INFO - Epoch(train) [143][1400/3757] lr: 4.1452e-02 eta: 1 day, 23:33:36 time: 0.4051 data_time: 0.0150 memory: 13431 grad_norm: 3.1702 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4069 loss: 2.4069 2022/08/15 20:05:08 - mmengine - INFO - Epoch(train) [143][1500/3757] lr: 4.1452e-02 eta: 1 day, 23:32:57 time: 0.4055 data_time: 0.0154 memory: 13431 grad_norm: 3.1141 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8137 loss: 2.8137 2022/08/15 20:05:11 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 20:05:49 - mmengine - INFO - Epoch(train) [143][1600/3757] lr: 4.1452e-02 eta: 1 day, 23:32:17 time: 0.4039 data_time: 0.0156 memory: 13431 grad_norm: 3.1585 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4072 loss: 2.4072 2022/08/15 20:06:30 - mmengine - INFO - Epoch(train) [143][1700/3757] lr: 4.1452e-02 eta: 1 day, 23:31:37 time: 0.4094 data_time: 0.0142 memory: 13431 grad_norm: 3.2270 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5637 loss: 2.5637 2022/08/15 20:07:10 - mmengine - INFO - Epoch(train) [143][1800/3757] lr: 4.1452e-02 eta: 1 day, 23:30:57 time: 0.4019 data_time: 0.0155 memory: 13431 grad_norm: 3.1456 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5164 loss: 2.5164 2022/08/15 20:07:51 - mmengine - INFO - Epoch(train) [143][1900/3757] lr: 4.1452e-02 eta: 1 day, 23:30:18 time: 0.4087 data_time: 0.0150 memory: 13431 grad_norm: 3.2338 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4268 loss: 2.4268 2022/08/15 20:08:32 - mmengine - INFO - Epoch(train) [143][2000/3757] lr: 4.1452e-02 eta: 1 day, 23:29:38 time: 0.4036 data_time: 0.0156 memory: 13431 grad_norm: 3.3076 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4221 loss: 2.4221 2022/08/15 20:09:12 - mmengine - INFO - Epoch(train) [143][2100/3757] lr: 4.1452e-02 eta: 1 day, 23:28:58 time: 0.4014 data_time: 0.0141 memory: 13431 grad_norm: 3.2269 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5901 loss: 2.5901 2022/08/15 20:09:53 - mmengine - INFO - Epoch(train) [143][2200/3757] lr: 4.1452e-02 eta: 1 day, 23:28:18 time: 0.4049 data_time: 0.0151 memory: 13431 grad_norm: 3.2265 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1848 loss: 2.1848 2022/08/15 20:10:34 - mmengine - INFO - Epoch(train) [143][2300/3757] lr: 4.1452e-02 eta: 1 day, 23:27:39 time: 0.4051 data_time: 0.0150 memory: 13431 grad_norm: 3.1754 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4205 loss: 2.4205 2022/08/15 20:11:15 - mmengine - INFO - Epoch(train) [143][2400/3757] lr: 4.1452e-02 eta: 1 day, 23:26:59 time: 0.4019 data_time: 0.0148 memory: 13431 grad_norm: 3.1939 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3857 loss: 2.3857 2022/08/15 20:11:55 - mmengine - INFO - Epoch(train) [143][2500/3757] lr: 4.1452e-02 eta: 1 day, 23:26:19 time: 0.4012 data_time: 0.0145 memory: 13431 grad_norm: 3.1594 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5050 loss: 2.5050 2022/08/15 20:11:58 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 20:12:36 - mmengine - INFO - Epoch(train) [143][2600/3757] lr: 4.1452e-02 eta: 1 day, 23:25:40 time: 0.4016 data_time: 0.0145 memory: 13431 grad_norm: 3.1580 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4985 loss: 2.4985 2022/08/15 20:13:17 - mmengine - INFO - Epoch(train) [143][2700/3757] lr: 4.1452e-02 eta: 1 day, 23:25:00 time: 0.4020 data_time: 0.0146 memory: 13431 grad_norm: 3.1679 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3371 loss: 2.3371 2022/08/15 20:13:58 - mmengine - INFO - Epoch(train) [143][2800/3757] lr: 4.1452e-02 eta: 1 day, 23:24:20 time: 0.4079 data_time: 0.0153 memory: 13431 grad_norm: 3.1288 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4977 loss: 2.4977 2022/08/15 20:14:38 - mmengine - INFO - Epoch(train) [143][2900/3757] lr: 4.1452e-02 eta: 1 day, 23:23:40 time: 0.4010 data_time: 0.0140 memory: 13431 grad_norm: 3.2310 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6777 loss: 2.6777 2022/08/15 20:15:19 - mmengine - INFO - Epoch(train) [143][3000/3757] lr: 4.1452e-02 eta: 1 day, 23:23:00 time: 0.4043 data_time: 0.0154 memory: 13431 grad_norm: 3.2564 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3631 loss: 2.3631 2022/08/15 20:16:00 - mmengine - INFO - Epoch(train) [143][3100/3757] lr: 4.1452e-02 eta: 1 day, 23:22:21 time: 0.4043 data_time: 0.0149 memory: 13431 grad_norm: 3.1189 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.8166 loss: 2.8166 2022/08/15 20:16:40 - mmengine - INFO - Epoch(train) [143][3200/3757] lr: 4.1452e-02 eta: 1 day, 23:21:41 time: 0.4059 data_time: 0.0147 memory: 13431 grad_norm: 3.2296 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1678 loss: 2.1678 2022/08/15 20:17:21 - mmengine - INFO - Epoch(train) [143][3300/3757] lr: 4.1452e-02 eta: 1 day, 23:21:01 time: 0.4072 data_time: 0.0146 memory: 13431 grad_norm: 3.1937 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6470 loss: 2.6470 2022/08/15 20:18:02 - mmengine - INFO - Epoch(train) [143][3400/3757] lr: 4.1452e-02 eta: 1 day, 23:20:22 time: 0.4051 data_time: 0.0190 memory: 13431 grad_norm: 3.1804 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4352 loss: 2.4352 2022/08/15 20:18:43 - mmengine - INFO - Epoch(train) [143][3500/3757] lr: 4.1452e-02 eta: 1 day, 23:19:42 time: 0.4063 data_time: 0.0160 memory: 13431 grad_norm: 3.2750 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2810 loss: 2.2810 2022/08/15 20:18:45 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 20:19:23 - mmengine - INFO - Epoch(train) [143][3600/3757] lr: 4.1452e-02 eta: 1 day, 23:19:02 time: 0.4068 data_time: 0.0153 memory: 13431 grad_norm: 3.2572 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.6183 loss: 2.6183 2022/08/15 20:20:04 - mmengine - INFO - Epoch(train) [143][3700/3757] lr: 4.1452e-02 eta: 1 day, 23:18:22 time: 0.4028 data_time: 0.0152 memory: 13431 grad_norm: 3.3236 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6806 loss: 2.6806 2022/08/15 20:20:27 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 20:20:27 - mmengine - INFO - Epoch(train) [143][3757/3757] lr: 4.1452e-02 eta: 1 day, 23:18:07 time: 0.3961 data_time: 0.0138 memory: 13431 grad_norm: 3.2104 top1_acc: 0.1429 top5_acc: 0.7143 loss_cls: 2.2740 loss: 2.2740 2022/08/15 20:21:11 - mmengine - INFO - Epoch(train) [144][100/3757] lr: 4.0848e-02 eta: 1 day, 23:17:17 time: 0.4155 data_time: 0.0145 memory: 13431 grad_norm: 3.1924 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5538 loss: 2.5538 2022/08/15 20:21:52 - mmengine - INFO - Epoch(train) [144][200/3757] lr: 4.0848e-02 eta: 1 day, 23:16:37 time: 0.4055 data_time: 0.0145 memory: 13431 grad_norm: 3.2326 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5817 loss: 2.5817 2022/08/15 20:22:33 - mmengine - INFO - Epoch(train) [144][300/3757] lr: 4.0848e-02 eta: 1 day, 23:15:58 time: 0.4060 data_time: 0.0150 memory: 13431 grad_norm: 3.1438 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1579 loss: 2.1579 2022/08/15 20:23:14 - mmengine - INFO - Epoch(train) [144][400/3757] lr: 4.0848e-02 eta: 1 day, 23:15:18 time: 0.4110 data_time: 0.0163 memory: 13431 grad_norm: 3.3158 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2604 loss: 2.2604 2022/08/15 20:23:54 - mmengine - INFO - Epoch(train) [144][500/3757] lr: 4.0848e-02 eta: 1 day, 23:14:38 time: 0.4067 data_time: 0.0141 memory: 13431 grad_norm: 3.2417 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.4828 loss: 2.4828 2022/08/15 20:24:35 - mmengine - INFO - Epoch(train) [144][600/3757] lr: 4.0848e-02 eta: 1 day, 23:13:59 time: 0.4024 data_time: 0.0148 memory: 13431 grad_norm: 3.2395 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6231 loss: 2.6231 2022/08/15 20:25:16 - mmengine - INFO - Epoch(train) [144][700/3757] lr: 4.0848e-02 eta: 1 day, 23:13:19 time: 0.4025 data_time: 0.0152 memory: 13431 grad_norm: 3.2220 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4439 loss: 2.4439 2022/08/15 20:25:36 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 20:25:57 - mmengine - INFO - Epoch(train) [144][800/3757] lr: 4.0848e-02 eta: 1 day, 23:12:39 time: 0.4163 data_time: 0.0171 memory: 13431 grad_norm: 3.2297 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5458 loss: 2.5458 2022/08/15 20:26:37 - mmengine - INFO - Epoch(train) [144][900/3757] lr: 4.0848e-02 eta: 1 day, 23:12:00 time: 0.4055 data_time: 0.0162 memory: 13431 grad_norm: 3.2887 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7088 loss: 2.7088 2022/08/15 20:27:18 - mmengine - INFO - Epoch(train) [144][1000/3757] lr: 4.0848e-02 eta: 1 day, 23:11:20 time: 0.4036 data_time: 0.0148 memory: 13431 grad_norm: 3.1984 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4762 loss: 2.4762 2022/08/15 20:27:59 - mmengine - INFO - Epoch(train) [144][1100/3757] lr: 4.0848e-02 eta: 1 day, 23:10:40 time: 0.4055 data_time: 0.0157 memory: 13431 grad_norm: 3.2042 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6063 loss: 2.6063 2022/08/15 20:28:40 - mmengine - INFO - Epoch(train) [144][1200/3757] lr: 4.0848e-02 eta: 1 day, 23:10:00 time: 0.4028 data_time: 0.0154 memory: 13431 grad_norm: 3.2453 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2508 loss: 2.2508 2022/08/15 20:29:20 - mmengine - INFO - Epoch(train) [144][1300/3757] lr: 4.0848e-02 eta: 1 day, 23:09:20 time: 0.4034 data_time: 0.0162 memory: 13431 grad_norm: 3.1599 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7849 loss: 2.7849 2022/08/15 20:30:01 - mmengine - INFO - Epoch(train) [144][1400/3757] lr: 4.0848e-02 eta: 1 day, 23:08:41 time: 0.4048 data_time: 0.0165 memory: 13431 grad_norm: 3.1445 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1714 loss: 2.1714 2022/08/15 20:30:42 - mmengine - INFO - Epoch(train) [144][1500/3757] lr: 4.0848e-02 eta: 1 day, 23:08:01 time: 0.4037 data_time: 0.0159 memory: 13431 grad_norm: 3.3294 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5144 loss: 2.5144 2022/08/15 20:31:23 - mmengine - INFO - Epoch(train) [144][1600/3757] lr: 4.0848e-02 eta: 1 day, 23:07:21 time: 0.4086 data_time: 0.0150 memory: 13431 grad_norm: 3.2561 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4093 loss: 2.4093 2022/08/15 20:32:04 - mmengine - INFO - Epoch(train) [144][1700/3757] lr: 4.0848e-02 eta: 1 day, 23:06:42 time: 0.4037 data_time: 0.0150 memory: 13431 grad_norm: 3.3042 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1509 loss: 2.1509 2022/08/15 20:32:23 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 20:32:44 - mmengine - INFO - Epoch(train) [144][1800/3757] lr: 4.0848e-02 eta: 1 day, 23:06:02 time: 0.4045 data_time: 0.0148 memory: 13431 grad_norm: 3.2179 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4950 loss: 2.4950 2022/08/15 20:33:25 - mmengine - INFO - Epoch(train) [144][1900/3757] lr: 4.0848e-02 eta: 1 day, 23:05:22 time: 0.4043 data_time: 0.0156 memory: 13431 grad_norm: 3.2022 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3968 loss: 2.3968 2022/08/15 20:34:05 - mmengine - INFO - Epoch(train) [144][2000/3757] lr: 4.0848e-02 eta: 1 day, 23:04:42 time: 0.4036 data_time: 0.0153 memory: 13431 grad_norm: 3.1914 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3907 loss: 2.3907 2022/08/15 20:34:46 - mmengine - INFO - Epoch(train) [144][2100/3757] lr: 4.0848e-02 eta: 1 day, 23:04:03 time: 0.4023 data_time: 0.0154 memory: 13431 grad_norm: 3.1186 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4613 loss: 2.4613 2022/08/15 20:35:27 - mmengine - INFO - Epoch(train) [144][2200/3757] lr: 4.0848e-02 eta: 1 day, 23:03:23 time: 0.4045 data_time: 0.0154 memory: 13431 grad_norm: 3.3085 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3326 loss: 2.3326 2022/08/15 20:36:07 - mmengine - INFO - Epoch(train) [144][2300/3757] lr: 4.0848e-02 eta: 1 day, 23:02:43 time: 0.4129 data_time: 0.0146 memory: 13431 grad_norm: 3.1896 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4628 loss: 2.4628 2022/08/15 20:36:48 - mmengine - INFO - Epoch(train) [144][2400/3757] lr: 4.0848e-02 eta: 1 day, 23:02:03 time: 0.4027 data_time: 0.0150 memory: 13431 grad_norm: 3.2188 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3108 loss: 2.3108 2022/08/15 20:37:29 - mmengine - INFO - Epoch(train) [144][2500/3757] lr: 4.0848e-02 eta: 1 day, 23:01:23 time: 0.4048 data_time: 0.0153 memory: 13431 grad_norm: 3.2385 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.6547 loss: 2.6547 2022/08/15 20:38:09 - mmengine - INFO - Epoch(train) [144][2600/3757] lr: 4.0848e-02 eta: 1 day, 23:00:44 time: 0.4038 data_time: 0.0154 memory: 13431 grad_norm: 3.1439 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5327 loss: 2.5327 2022/08/15 20:38:50 - mmengine - INFO - Epoch(train) [144][2700/3757] lr: 4.0848e-02 eta: 1 day, 23:00:04 time: 0.4053 data_time: 0.0165 memory: 13431 grad_norm: 3.1620 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3854 loss: 2.3854 2022/08/15 20:39:10 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 20:39:31 - mmengine - INFO - Epoch(train) [144][2800/3757] lr: 4.0848e-02 eta: 1 day, 22:59:24 time: 0.4055 data_time: 0.0155 memory: 13431 grad_norm: 3.1909 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5859 loss: 2.5859 2022/08/15 20:40:11 - mmengine - INFO - Epoch(train) [144][2900/3757] lr: 4.0848e-02 eta: 1 day, 22:58:44 time: 0.4113 data_time: 0.0142 memory: 13431 grad_norm: 3.3181 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7302 loss: 2.7302 2022/08/15 20:40:52 - mmengine - INFO - Epoch(train) [144][3000/3757] lr: 4.0848e-02 eta: 1 day, 22:58:05 time: 0.4056 data_time: 0.0153 memory: 13431 grad_norm: 3.1392 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.4054 loss: 2.4054 2022/08/15 20:41:33 - mmengine - INFO - Epoch(train) [144][3100/3757] lr: 4.0848e-02 eta: 1 day, 22:57:25 time: 0.4016 data_time: 0.0143 memory: 13431 grad_norm: 3.1967 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8434 loss: 2.8434 2022/08/15 20:42:14 - mmengine - INFO - Epoch(train) [144][3200/3757] lr: 4.0848e-02 eta: 1 day, 22:56:45 time: 0.4063 data_time: 0.0156 memory: 13431 grad_norm: 3.1865 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7049 loss: 2.7049 2022/08/15 20:42:54 - mmengine - INFO - Epoch(train) [144][3300/3757] lr: 4.0848e-02 eta: 1 day, 22:56:05 time: 0.4029 data_time: 0.0146 memory: 13431 grad_norm: 3.2768 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7134 loss: 2.7134 2022/08/15 20:43:35 - mmengine - INFO - Epoch(train) [144][3400/3757] lr: 4.0848e-02 eta: 1 day, 22:55:26 time: 0.4027 data_time: 0.0165 memory: 13431 grad_norm: 3.1827 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4254 loss: 2.4254 2022/08/15 20:44:16 - mmengine - INFO - Epoch(train) [144][3500/3757] lr: 4.0848e-02 eta: 1 day, 22:54:46 time: 0.4014 data_time: 0.0143 memory: 13431 grad_norm: 3.1536 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6337 loss: 2.6337 2022/08/15 20:44:56 - mmengine - INFO - Epoch(train) [144][3600/3757] lr: 4.0848e-02 eta: 1 day, 22:54:06 time: 0.4081 data_time: 0.0157 memory: 13431 grad_norm: 3.1657 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4214 loss: 2.4214 2022/08/15 20:45:37 - mmengine - INFO - Epoch(train) [144][3700/3757] lr: 4.0848e-02 eta: 1 day, 22:53:26 time: 0.4066 data_time: 0.0151 memory: 13431 grad_norm: 3.2257 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5499 loss: 2.5499 2022/08/15 20:45:57 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 20:46:00 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 20:46:00 - mmengine - INFO - Epoch(train) [144][3757/3757] lr: 4.0848e-02 eta: 1 day, 22:53:11 time: 0.4003 data_time: 0.0133 memory: 13431 grad_norm: 3.2968 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 2.4991 loss: 2.4991 2022/08/15 20:46:01 - mmengine - INFO - Saving checkpoint at 144 epochs 2022/08/15 20:46:48 - mmengine - INFO - Epoch(train) [145][100/3757] lr: 4.0245e-02 eta: 1 day, 22:52:20 time: 0.4029 data_time: 0.0151 memory: 13431 grad_norm: 3.2373 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6295 loss: 2.6295 2022/08/15 20:47:29 - mmengine - INFO - Epoch(train) [145][200/3757] lr: 4.0245e-02 eta: 1 day, 22:51:40 time: 0.4061 data_time: 0.0157 memory: 13431 grad_norm: 3.2091 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5433 loss: 2.5433 2022/08/15 20:48:10 - mmengine - INFO - Epoch(train) [145][300/3757] lr: 4.0245e-02 eta: 1 day, 22:51:00 time: 0.4063 data_time: 0.0172 memory: 13431 grad_norm: 3.1450 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5682 loss: 2.5682 2022/08/15 20:48:51 - mmengine - INFO - Epoch(train) [145][400/3757] lr: 4.0245e-02 eta: 1 day, 22:50:21 time: 0.4129 data_time: 0.0147 memory: 13431 grad_norm: 3.1929 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4456 loss: 2.4456 2022/08/15 20:49:31 - mmengine - INFO - Epoch(train) [145][500/3757] lr: 4.0245e-02 eta: 1 day, 22:49:41 time: 0.4119 data_time: 0.0159 memory: 13431 grad_norm: 3.2357 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4057 loss: 2.4057 2022/08/15 20:50:12 - mmengine - INFO - Epoch(train) [145][600/3757] lr: 4.0245e-02 eta: 1 day, 22:49:01 time: 0.4028 data_time: 0.0150 memory: 13431 grad_norm: 3.2007 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5979 loss: 2.5979 2022/08/15 20:50:53 - mmengine - INFO - Epoch(train) [145][700/3757] lr: 4.0245e-02 eta: 1 day, 22:48:22 time: 0.4057 data_time: 0.0166 memory: 13431 grad_norm: 3.2989 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2011 loss: 2.2011 2022/08/15 20:51:33 - mmengine - INFO - Epoch(train) [145][800/3757] lr: 4.0245e-02 eta: 1 day, 22:47:42 time: 0.4040 data_time: 0.0159 memory: 13431 grad_norm: 3.2150 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4083 loss: 2.4083 2022/08/15 20:52:14 - mmengine - INFO - Epoch(train) [145][900/3757] lr: 4.0245e-02 eta: 1 day, 22:47:02 time: 0.4048 data_time: 0.0162 memory: 13431 grad_norm: 3.1993 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.5189 loss: 2.5189 2022/08/15 20:52:52 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 20:52:55 - mmengine - INFO - Epoch(train) [145][1000/3757] lr: 4.0245e-02 eta: 1 day, 22:46:22 time: 0.4051 data_time: 0.0157 memory: 13431 grad_norm: 3.2595 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.5863 loss: 2.5863 2022/08/15 20:53:36 - mmengine - INFO - Epoch(train) [145][1100/3757] lr: 4.0245e-02 eta: 1 day, 22:45:43 time: 0.4106 data_time: 0.0163 memory: 13431 grad_norm: 3.2615 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4429 loss: 2.4429 2022/08/15 20:54:17 - mmengine - INFO - Epoch(train) [145][1200/3757] lr: 4.0245e-02 eta: 1 day, 22:45:03 time: 0.4035 data_time: 0.0152 memory: 13431 grad_norm: 3.3073 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4368 loss: 2.4368 2022/08/15 20:54:57 - mmengine - INFO - Epoch(train) [145][1300/3757] lr: 4.0245e-02 eta: 1 day, 22:44:23 time: 0.4009 data_time: 0.0163 memory: 13431 grad_norm: 3.2291 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6109 loss: 2.6109 2022/08/15 20:55:38 - mmengine - INFO - Epoch(train) [145][1400/3757] lr: 4.0245e-02 eta: 1 day, 22:43:43 time: 0.4024 data_time: 0.0155 memory: 13431 grad_norm: 3.2554 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5284 loss: 2.5284 2022/08/15 20:56:19 - mmengine - INFO - Epoch(train) [145][1500/3757] lr: 4.0245e-02 eta: 1 day, 22:43:04 time: 0.4020 data_time: 0.0145 memory: 13431 grad_norm: 3.2433 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3914 loss: 2.3914 2022/08/15 20:56:59 - mmengine - INFO - Epoch(train) [145][1600/3757] lr: 4.0245e-02 eta: 1 day, 22:42:24 time: 0.4017 data_time: 0.0148 memory: 13431 grad_norm: 3.1568 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3244 loss: 2.3244 2022/08/15 20:57:40 - mmengine - INFO - Epoch(train) [145][1700/3757] lr: 4.0245e-02 eta: 1 day, 22:41:44 time: 0.4033 data_time: 0.0147 memory: 13431 grad_norm: 3.3075 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3282 loss: 2.3282 2022/08/15 20:58:21 - mmengine - INFO - Epoch(train) [145][1800/3757] lr: 4.0245e-02 eta: 1 day, 22:41:04 time: 0.4087 data_time: 0.0146 memory: 13431 grad_norm: 3.1494 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4404 loss: 2.4404 2022/08/15 20:59:01 - mmengine - INFO - Epoch(train) [145][1900/3757] lr: 4.0245e-02 eta: 1 day, 22:40:24 time: 0.4037 data_time: 0.0144 memory: 13431 grad_norm: 3.3312 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.5848 loss: 2.5848 2022/08/15 20:59:39 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 20:59:42 - mmengine - INFO - Epoch(train) [145][2000/3757] lr: 4.0245e-02 eta: 1 day, 22:39:45 time: 0.4041 data_time: 0.0154 memory: 13431 grad_norm: 3.1285 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1516 loss: 2.1516 2022/08/15 21:00:23 - mmengine - INFO - Epoch(train) [145][2100/3757] lr: 4.0245e-02 eta: 1 day, 22:39:05 time: 0.4048 data_time: 0.0146 memory: 13431 grad_norm: 3.2458 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4062 loss: 2.4062 2022/08/15 21:01:04 - mmengine - INFO - Epoch(train) [145][2200/3757] lr: 4.0245e-02 eta: 1 day, 22:38:25 time: 0.4056 data_time: 0.0157 memory: 13431 grad_norm: 3.3004 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5599 loss: 2.5599 2022/08/15 21:01:44 - mmengine - INFO - Epoch(train) [145][2300/3757] lr: 4.0245e-02 eta: 1 day, 22:37:46 time: 0.4076 data_time: 0.0164 memory: 13431 grad_norm: 3.2345 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1397 loss: 2.1397 2022/08/15 21:02:25 - mmengine - INFO - Epoch(train) [145][2400/3757] lr: 4.0245e-02 eta: 1 day, 22:37:06 time: 0.4025 data_time: 0.0140 memory: 13431 grad_norm: 3.2899 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4224 loss: 2.4224 2022/08/15 21:03:06 - mmengine - INFO - Epoch(train) [145][2500/3757] lr: 4.0245e-02 eta: 1 day, 22:36:26 time: 0.4107 data_time: 0.0146 memory: 13431 grad_norm: 3.1879 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.4399 loss: 2.4399 2022/08/15 21:03:47 - mmengine - INFO - Epoch(train) [145][2600/3757] lr: 4.0245e-02 eta: 1 day, 22:35:46 time: 0.4049 data_time: 0.0157 memory: 13431 grad_norm: 3.2216 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3753 loss: 2.3753 2022/08/15 21:04:27 - mmengine - INFO - Epoch(train) [145][2700/3757] lr: 4.0245e-02 eta: 1 day, 22:35:07 time: 0.4018 data_time: 0.0146 memory: 13431 grad_norm: 3.1548 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3453 loss: 2.3453 2022/08/15 21:05:08 - mmengine - INFO - Epoch(train) [145][2800/3757] lr: 4.0245e-02 eta: 1 day, 22:34:27 time: 0.4030 data_time: 0.0171 memory: 13431 grad_norm: 3.1549 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2390 loss: 2.2390 2022/08/15 21:05:49 - mmengine - INFO - Epoch(train) [145][2900/3757] lr: 4.0245e-02 eta: 1 day, 22:33:47 time: 0.4044 data_time: 0.0146 memory: 13431 grad_norm: 3.2543 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1913 loss: 2.1913 2022/08/15 21:06:26 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 21:06:29 - mmengine - INFO - Epoch(train) [145][3000/3757] lr: 4.0245e-02 eta: 1 day, 22:33:07 time: 0.4013 data_time: 0.0152 memory: 13431 grad_norm: 3.1567 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4311 loss: 2.4311 2022/08/15 21:07:10 - mmengine - INFO - Epoch(train) [145][3100/3757] lr: 4.0245e-02 eta: 1 day, 22:32:27 time: 0.4033 data_time: 0.0148 memory: 13431 grad_norm: 3.1318 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4731 loss: 2.4731 2022/08/15 21:07:51 - mmengine - INFO - Epoch(train) [145][3200/3757] lr: 4.0245e-02 eta: 1 day, 22:31:48 time: 0.4079 data_time: 0.0144 memory: 13431 grad_norm: 3.4917 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4728 loss: 2.4728 2022/08/15 21:08:32 - mmengine - INFO - Epoch(train) [145][3300/3757] lr: 4.0245e-02 eta: 1 day, 22:31:08 time: 0.4109 data_time: 0.0139 memory: 13431 grad_norm: 3.2967 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4859 loss: 2.4859 2022/08/15 21:09:12 - mmengine - INFO - Epoch(train) [145][3400/3757] lr: 4.0245e-02 eta: 1 day, 22:30:28 time: 0.4027 data_time: 0.0149 memory: 13431 grad_norm: 3.2048 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7236 loss: 2.7236 2022/08/15 21:09:53 - mmengine - INFO - Epoch(train) [145][3500/3757] lr: 4.0245e-02 eta: 1 day, 22:29:49 time: 0.4054 data_time: 0.0162 memory: 13431 grad_norm: 3.3837 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3770 loss: 2.3770 2022/08/15 21:10:34 - mmengine - INFO - Epoch(train) [145][3600/3757] lr: 4.0245e-02 eta: 1 day, 22:29:09 time: 0.4033 data_time: 0.0159 memory: 13431 grad_norm: 3.1704 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4916 loss: 2.4916 2022/08/15 21:11:14 - mmengine - INFO - Epoch(train) [145][3700/3757] lr: 4.0245e-02 eta: 1 day, 22:28:29 time: 0.4042 data_time: 0.0152 memory: 13431 grad_norm: 3.2089 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6701 loss: 2.6701 2022/08/15 21:11:37 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 21:11:37 - mmengine - INFO - Epoch(train) [145][3757/3757] lr: 4.0245e-02 eta: 1 day, 22:28:13 time: 0.3889 data_time: 0.0141 memory: 13431 grad_norm: 3.2772 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 2.2398 loss: 2.2398 2022/08/15 21:11:59 - mmengine - INFO - Epoch(val) [145][100/310] eta: 0:00:46 time: 0.2201 data_time: 0.0884 memory: 1974 2022/08/15 21:12:20 - mmengine - INFO - Epoch(val) [145][200/310] eta: 0:00:20 time: 0.1846 data_time: 0.0574 memory: 1974 2022/08/15 21:12:41 - mmengine - INFO - Epoch(val) [145][300/310] eta: 0:00:01 time: 0.1994 data_time: 0.0715 memory: 1974 2022/08/15 21:12:46 - mmengine - INFO - Epoch(val) [145][310/310] acc/top1: 0.5078 acc/top5: 0.7706 acc/mean1: 0.5078 2022/08/15 21:12:46 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_141.pth is removed 2022/08/15 21:12:50 - mmengine - INFO - The best checkpoint with 0.5078 acc/top1 at 146 epoch is saved to best_acc/top1_epoch_146.pth. 2022/08/15 21:13:32 - mmengine - INFO - Epoch(train) [146][100/3757] lr: 3.9644e-02 eta: 1 day, 22:27:22 time: 0.4020 data_time: 0.0151 memory: 13431 grad_norm: 3.2344 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4683 loss: 2.4683 2022/08/15 21:14:12 - mmengine - INFO - Epoch(train) [146][200/3757] lr: 3.9644e-02 eta: 1 day, 22:26:42 time: 0.4071 data_time: 0.0150 memory: 13431 grad_norm: 3.3222 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4200 loss: 2.4200 2022/08/15 21:14:27 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 21:14:53 - mmengine - INFO - Epoch(train) [146][300/3757] lr: 3.9644e-02 eta: 1 day, 22:26:02 time: 0.4107 data_time: 0.0146 memory: 13431 grad_norm: 3.2001 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.6305 loss: 2.6305 2022/08/15 21:15:34 - mmengine - INFO - Epoch(train) [146][400/3757] lr: 3.9644e-02 eta: 1 day, 22:25:23 time: 0.4040 data_time: 0.0147 memory: 13431 grad_norm: 3.2779 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5530 loss: 2.5530 2022/08/15 21:16:15 - mmengine - INFO - Epoch(train) [146][500/3757] lr: 3.9644e-02 eta: 1 day, 22:24:43 time: 0.4019 data_time: 0.0158 memory: 13431 grad_norm: 3.2679 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4757 loss: 2.4757 2022/08/15 21:16:55 - mmengine - INFO - Epoch(train) [146][600/3757] lr: 3.9644e-02 eta: 1 day, 22:24:03 time: 0.4060 data_time: 0.0145 memory: 13431 grad_norm: 3.2858 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2872 loss: 2.2872 2022/08/15 21:17:36 - mmengine - INFO - Epoch(train) [146][700/3757] lr: 3.9644e-02 eta: 1 day, 22:23:23 time: 0.4054 data_time: 0.0169 memory: 13431 grad_norm: 3.2691 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.4485 loss: 2.4485 2022/08/15 21:18:17 - mmengine - INFO - Epoch(train) [146][800/3757] lr: 3.9644e-02 eta: 1 day, 22:22:44 time: 0.4023 data_time: 0.0165 memory: 13431 grad_norm: 3.2270 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2386 loss: 2.2386 2022/08/15 21:18:58 - mmengine - INFO - Epoch(train) [146][900/3757] lr: 3.9644e-02 eta: 1 day, 22:22:04 time: 0.4119 data_time: 0.0152 memory: 13431 grad_norm: 3.1810 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5091 loss: 2.5091 2022/08/15 21:19:38 - mmengine - INFO - Epoch(train) [146][1000/3757] lr: 3.9644e-02 eta: 1 day, 22:21:24 time: 0.4141 data_time: 0.0152 memory: 13431 grad_norm: 3.1880 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6196 loss: 2.6196 2022/08/15 21:20:19 - mmengine - INFO - Epoch(train) [146][1100/3757] lr: 3.9644e-02 eta: 1 day, 22:20:44 time: 0.4035 data_time: 0.0180 memory: 13431 grad_norm: 3.2829 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3296 loss: 2.3296 2022/08/15 21:21:00 - mmengine - INFO - Epoch(train) [146][1200/3757] lr: 3.9644e-02 eta: 1 day, 22:20:05 time: 0.4053 data_time: 0.0157 memory: 13431 grad_norm: 3.3006 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4071 loss: 2.4071 2022/08/15 21:21:14 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 21:21:41 - mmengine - INFO - Epoch(train) [146][1300/3757] lr: 3.9644e-02 eta: 1 day, 22:19:25 time: 0.4096 data_time: 0.0155 memory: 13431 grad_norm: 3.1818 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0900 loss: 2.0900 2022/08/15 21:22:21 - mmengine - INFO - Epoch(train) [146][1400/3757] lr: 3.9644e-02 eta: 1 day, 22:18:45 time: 0.4039 data_time: 0.0141 memory: 13431 grad_norm: 3.2828 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6628 loss: 2.6628 2022/08/15 21:23:02 - mmengine - INFO - Epoch(train) [146][1500/3757] lr: 3.9644e-02 eta: 1 day, 22:18:05 time: 0.4030 data_time: 0.0148 memory: 13431 grad_norm: 3.1888 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3118 loss: 2.3118 2022/08/15 21:23:43 - mmengine - INFO - Epoch(train) [146][1600/3757] lr: 3.9644e-02 eta: 1 day, 22:17:26 time: 0.4088 data_time: 0.0170 memory: 13431 grad_norm: 3.2381 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5515 loss: 2.5515 2022/08/15 21:24:24 - mmengine - INFO - Epoch(train) [146][1700/3757] lr: 3.9644e-02 eta: 1 day, 22:16:46 time: 0.4088 data_time: 0.0148 memory: 13431 grad_norm: 3.2722 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2365 loss: 2.2365 2022/08/15 21:25:04 - mmengine - INFO - Epoch(train) [146][1800/3757] lr: 3.9644e-02 eta: 1 day, 22:16:06 time: 0.4034 data_time: 0.0150 memory: 13431 grad_norm: 3.2255 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2332 loss: 2.2332 2022/08/15 21:25:45 - mmengine - INFO - Epoch(train) [146][1900/3757] lr: 3.9644e-02 eta: 1 day, 22:15:26 time: 0.4052 data_time: 0.0148 memory: 13431 grad_norm: 3.2339 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1746 loss: 2.1746 2022/08/15 21:26:25 - mmengine - INFO - Epoch(train) [146][2000/3757] lr: 3.9644e-02 eta: 1 day, 22:14:47 time: 0.4040 data_time: 0.0146 memory: 13431 grad_norm: 3.1907 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5311 loss: 2.5311 2022/08/15 21:27:06 - mmengine - INFO - Epoch(train) [146][2100/3757] lr: 3.9644e-02 eta: 1 day, 22:14:07 time: 0.4053 data_time: 0.0163 memory: 13431 grad_norm: 3.2648 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3674 loss: 2.3674 2022/08/15 21:27:47 - mmengine - INFO - Epoch(train) [146][2200/3757] lr: 3.9644e-02 eta: 1 day, 22:13:27 time: 0.4029 data_time: 0.0143 memory: 13431 grad_norm: 3.1178 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5289 loss: 2.5289 2022/08/15 21:28:01 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 21:28:28 - mmengine - INFO - Epoch(train) [146][2300/3757] lr: 3.9644e-02 eta: 1 day, 22:12:47 time: 0.4087 data_time: 0.0148 memory: 13431 grad_norm: 3.2471 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6226 loss: 2.6226 2022/08/15 21:29:08 - mmengine - INFO - Epoch(train) [146][2400/3757] lr: 3.9644e-02 eta: 1 day, 22:12:08 time: 0.4122 data_time: 0.0147 memory: 13431 grad_norm: 3.1819 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2111 loss: 2.2111 2022/08/15 21:29:49 - mmengine - INFO - Epoch(train) [146][2500/3757] lr: 3.9644e-02 eta: 1 day, 22:11:28 time: 0.4023 data_time: 0.0155 memory: 13431 grad_norm: 3.2330 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3796 loss: 2.3796 2022/08/15 21:30:30 - mmengine - INFO - Epoch(train) [146][2600/3757] lr: 3.9644e-02 eta: 1 day, 22:10:48 time: 0.4028 data_time: 0.0154 memory: 13431 grad_norm: 3.2931 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7286 loss: 2.7286 2022/08/15 21:31:11 - mmengine - INFO - Epoch(train) [146][2700/3757] lr: 3.9644e-02 eta: 1 day, 22:10:08 time: 0.4023 data_time: 0.0147 memory: 13431 grad_norm: 3.3841 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.5949 loss: 2.5949 2022/08/15 21:31:51 - mmengine - INFO - Epoch(train) [146][2800/3757] lr: 3.9644e-02 eta: 1 day, 22:09:28 time: 0.4015 data_time: 0.0163 memory: 13431 grad_norm: 3.3321 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6573 loss: 2.6573 2022/08/15 21:32:32 - mmengine - INFO - Epoch(train) [146][2900/3757] lr: 3.9644e-02 eta: 1 day, 22:08:49 time: 0.4010 data_time: 0.0150 memory: 13431 grad_norm: 3.2166 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.7804 loss: 2.7804 2022/08/15 21:33:13 - mmengine - INFO - Epoch(train) [146][3000/3757] lr: 3.9644e-02 eta: 1 day, 22:08:09 time: 0.4088 data_time: 0.0141 memory: 13431 grad_norm: 3.3147 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7279 loss: 2.7279 2022/08/15 21:33:53 - mmengine - INFO - Epoch(train) [146][3100/3757] lr: 3.9644e-02 eta: 1 day, 22:07:29 time: 0.4050 data_time: 0.0161 memory: 13431 grad_norm: 3.2446 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2075 loss: 2.2075 2022/08/15 21:34:34 - mmengine - INFO - Epoch(train) [146][3200/3757] lr: 3.9644e-02 eta: 1 day, 22:06:49 time: 0.4033 data_time: 0.0149 memory: 13431 grad_norm: 3.2355 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4162 loss: 2.4162 2022/08/15 21:34:48 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 21:35:15 - mmengine - INFO - Epoch(train) [146][3300/3757] lr: 3.9644e-02 eta: 1 day, 22:06:10 time: 0.4056 data_time: 0.0152 memory: 13431 grad_norm: 3.1871 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7467 loss: 2.7467 2022/08/15 21:35:55 - mmengine - INFO - Epoch(train) [146][3400/3757] lr: 3.9644e-02 eta: 1 day, 22:05:30 time: 0.4104 data_time: 0.0155 memory: 13431 grad_norm: 3.2593 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3436 loss: 2.3436 2022/08/15 21:36:36 - mmengine - INFO - Epoch(train) [146][3500/3757] lr: 3.9644e-02 eta: 1 day, 22:04:50 time: 0.4113 data_time: 0.0144 memory: 13431 grad_norm: 3.1789 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6952 loss: 2.6952 2022/08/15 21:37:17 - mmengine - INFO - Epoch(train) [146][3600/3757] lr: 3.9644e-02 eta: 1 day, 22:04:10 time: 0.4058 data_time: 0.0159 memory: 13431 grad_norm: 3.3115 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6840 loss: 2.6840 2022/08/15 21:37:58 - mmengine - INFO - Epoch(train) [146][3700/3757] lr: 3.9644e-02 eta: 1 day, 22:03:31 time: 0.4096 data_time: 0.0157 memory: 13431 grad_norm: 3.4069 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3872 loss: 2.3872 2022/08/15 21:38:21 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 21:38:21 - mmengine - INFO - Epoch(train) [146][3757/3757] lr: 3.9644e-02 eta: 1 day, 22:03:15 time: 0.3931 data_time: 0.0155 memory: 13431 grad_norm: 3.2491 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 2.6811 loss: 2.6811 2022/08/15 21:39:03 - mmengine - INFO - Epoch(train) [147][100/3757] lr: 3.9045e-02 eta: 1 day, 22:02:24 time: 0.4012 data_time: 0.0142 memory: 13431 grad_norm: 3.2401 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6094 loss: 2.6094 2022/08/15 21:39:44 - mmengine - INFO - Epoch(train) [147][200/3757] lr: 3.9045e-02 eta: 1 day, 22:01:44 time: 0.4017 data_time: 0.0150 memory: 13431 grad_norm: 3.2050 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5121 loss: 2.5121 2022/08/15 21:40:25 - mmengine - INFO - Epoch(train) [147][300/3757] lr: 3.9045e-02 eta: 1 day, 22:01:05 time: 0.4054 data_time: 0.0158 memory: 13431 grad_norm: 3.2187 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5493 loss: 2.5493 2022/08/15 21:41:05 - mmengine - INFO - Epoch(train) [147][400/3757] lr: 3.9045e-02 eta: 1 day, 22:00:25 time: 0.4047 data_time: 0.0156 memory: 13431 grad_norm: 3.2387 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5126 loss: 2.5126 2022/08/15 21:41:37 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 21:41:46 - mmengine - INFO - Epoch(train) [147][500/3757] lr: 3.9045e-02 eta: 1 day, 21:59:45 time: 0.4073 data_time: 0.0145 memory: 13431 grad_norm: 3.3117 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5910 loss: 2.5910 2022/08/15 21:42:27 - mmengine - INFO - Epoch(train) [147][600/3757] lr: 3.9045e-02 eta: 1 day, 21:59:05 time: 0.4038 data_time: 0.0160 memory: 13431 grad_norm: 3.3207 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8467 loss: 2.8467 2022/08/15 21:43:07 - mmengine - INFO - Epoch(train) [147][700/3757] lr: 3.9045e-02 eta: 1 day, 21:58:25 time: 0.4034 data_time: 0.0146 memory: 13431 grad_norm: 3.3158 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.4627 loss: 2.4627 2022/08/15 21:43:48 - mmengine - INFO - Epoch(train) [147][800/3757] lr: 3.9045e-02 eta: 1 day, 21:57:46 time: 0.4035 data_time: 0.0155 memory: 13431 grad_norm: 3.2416 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4730 loss: 2.4730 2022/08/15 21:44:29 - mmengine - INFO - Epoch(train) [147][900/3757] lr: 3.9045e-02 eta: 1 day, 21:57:06 time: 0.4051 data_time: 0.0156 memory: 13431 grad_norm: 3.2069 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3909 loss: 2.3909 2022/08/15 21:45:09 - mmengine - INFO - Epoch(train) [147][1000/3757] lr: 3.9045e-02 eta: 1 day, 21:56:26 time: 0.4026 data_time: 0.0148 memory: 13431 grad_norm: 3.2576 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4611 loss: 2.4611 2022/08/15 21:45:50 - mmengine - INFO - Epoch(train) [147][1100/3757] lr: 3.9045e-02 eta: 1 day, 21:55:46 time: 0.4041 data_time: 0.0151 memory: 13431 grad_norm: 3.3074 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6292 loss: 2.6292 2022/08/15 21:46:31 - mmengine - INFO - Epoch(train) [147][1200/3757] lr: 3.9045e-02 eta: 1 day, 21:55:07 time: 0.4085 data_time: 0.0162 memory: 13431 grad_norm: 3.2258 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6510 loss: 2.6510 2022/08/15 21:47:12 - mmengine - INFO - Epoch(train) [147][1300/3757] lr: 3.9045e-02 eta: 1 day, 21:54:27 time: 0.4031 data_time: 0.0145 memory: 13431 grad_norm: 3.2037 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0022 loss: 2.0022 2022/08/15 21:47:53 - mmengine - INFO - Epoch(train) [147][1400/3757] lr: 3.9045e-02 eta: 1 day, 21:53:47 time: 0.4035 data_time: 0.0178 memory: 13431 grad_norm: 3.3082 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.4246 loss: 2.4246 2022/08/15 21:48:24 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 21:48:33 - mmengine - INFO - Epoch(train) [147][1500/3757] lr: 3.9045e-02 eta: 1 day, 21:53:07 time: 0.4012 data_time: 0.0144 memory: 13431 grad_norm: 3.2197 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4541 loss: 2.4541 2022/08/15 21:49:14 - mmengine - INFO - Epoch(train) [147][1600/3757] lr: 3.9045e-02 eta: 1 day, 21:52:28 time: 0.4048 data_time: 0.0154 memory: 13431 grad_norm: 3.2895 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4797 loss: 2.4797 2022/08/15 21:49:55 - mmengine - INFO - Epoch(train) [147][1700/3757] lr: 3.9045e-02 eta: 1 day, 21:51:48 time: 0.4022 data_time: 0.0162 memory: 13431 grad_norm: 3.2866 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4004 loss: 2.4004 2022/08/15 21:50:35 - mmengine - INFO - Epoch(train) [147][1800/3757] lr: 3.9045e-02 eta: 1 day, 21:51:08 time: 0.4054 data_time: 0.0162 memory: 13431 grad_norm: 3.2878 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4596 loss: 2.4596 2022/08/15 21:51:16 - mmengine - INFO - Epoch(train) [147][1900/3757] lr: 3.9045e-02 eta: 1 day, 21:50:28 time: 0.4056 data_time: 0.0156 memory: 13431 grad_norm: 3.2606 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2962 loss: 2.2962 2022/08/15 21:51:57 - mmengine - INFO - Epoch(train) [147][2000/3757] lr: 3.9045e-02 eta: 1 day, 21:49:49 time: 0.4061 data_time: 0.0149 memory: 13431 grad_norm: 3.4043 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5312 loss: 2.5312 2022/08/15 21:52:38 - mmengine - INFO - Epoch(train) [147][2100/3757] lr: 3.9045e-02 eta: 1 day, 21:49:09 time: 0.4034 data_time: 0.0160 memory: 13431 grad_norm: 3.2374 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8516 loss: 2.8516 2022/08/15 21:53:19 - mmengine - INFO - Epoch(train) [147][2200/3757] lr: 3.9045e-02 eta: 1 day, 21:48:29 time: 0.4056 data_time: 0.0150 memory: 13431 grad_norm: 3.1914 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5646 loss: 2.5646 2022/08/15 21:54:00 - mmengine - INFO - Epoch(train) [147][2300/3757] lr: 3.9045e-02 eta: 1 day, 21:47:50 time: 0.4060 data_time: 0.0165 memory: 13431 grad_norm: 3.3292 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6642 loss: 2.6642 2022/08/15 21:54:40 - mmengine - INFO - Epoch(train) [147][2400/3757] lr: 3.9045e-02 eta: 1 day, 21:47:10 time: 0.4061 data_time: 0.0153 memory: 13431 grad_norm: 3.2374 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2881 loss: 2.2881 2022/08/15 21:55:12 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 21:55:21 - mmengine - INFO - Epoch(train) [147][2500/3757] lr: 3.9045e-02 eta: 1 day, 21:46:30 time: 0.4046 data_time: 0.0155 memory: 13431 grad_norm: 3.2083 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1711 loss: 2.1711 2022/08/15 21:56:02 - mmengine - INFO - Epoch(train) [147][2600/3757] lr: 3.9045e-02 eta: 1 day, 21:45:50 time: 0.4055 data_time: 0.0160 memory: 13431 grad_norm: 3.3219 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4165 loss: 2.4165 2022/08/15 21:56:42 - mmengine - INFO - Epoch(train) [147][2700/3757] lr: 3.9045e-02 eta: 1 day, 21:45:10 time: 0.4094 data_time: 0.0154 memory: 13431 grad_norm: 3.2241 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3723 loss: 2.3723 2022/08/15 21:57:23 - mmengine - INFO - Epoch(train) [147][2800/3757] lr: 3.9045e-02 eta: 1 day, 21:44:30 time: 0.4046 data_time: 0.0179 memory: 13431 grad_norm: 3.2591 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6096 loss: 2.6096 2022/08/15 21:58:04 - mmengine - INFO - Epoch(train) [147][2900/3757] lr: 3.9045e-02 eta: 1 day, 21:43:51 time: 0.4036 data_time: 0.0156 memory: 13431 grad_norm: 3.2854 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3833 loss: 2.3833 2022/08/15 21:58:45 - mmengine - INFO - Epoch(train) [147][3000/3757] lr: 3.9045e-02 eta: 1 day, 21:43:11 time: 0.4040 data_time: 0.0148 memory: 13431 grad_norm: 3.1685 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2439 loss: 2.2439 2022/08/15 21:59:25 - mmengine - INFO - Epoch(train) [147][3100/3757] lr: 3.9045e-02 eta: 1 day, 21:42:31 time: 0.4040 data_time: 0.0147 memory: 13431 grad_norm: 3.2645 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2802 loss: 2.2802 2022/08/15 22:00:06 - mmengine - INFO - Epoch(train) [147][3200/3757] lr: 3.9045e-02 eta: 1 day, 21:41:51 time: 0.4045 data_time: 0.0143 memory: 13431 grad_norm: 3.1538 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3240 loss: 2.3240 2022/08/15 22:00:47 - mmengine - INFO - Epoch(train) [147][3300/3757] lr: 3.9045e-02 eta: 1 day, 21:41:12 time: 0.4044 data_time: 0.0158 memory: 13431 grad_norm: 3.3953 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5306 loss: 2.5306 2022/08/15 22:01:27 - mmengine - INFO - Epoch(train) [147][3400/3757] lr: 3.9045e-02 eta: 1 day, 21:40:32 time: 0.4079 data_time: 0.0166 memory: 13431 grad_norm: 3.1806 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.4852 loss: 2.4852 2022/08/15 22:01:59 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 22:02:08 - mmengine - INFO - Epoch(train) [147][3500/3757] lr: 3.9045e-02 eta: 1 day, 21:39:52 time: 0.4078 data_time: 0.0156 memory: 13431 grad_norm: 3.2451 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3623 loss: 2.3623 2022/08/15 22:02:49 - mmengine - INFO - Epoch(train) [147][3600/3757] lr: 3.9045e-02 eta: 1 day, 21:39:13 time: 0.4065 data_time: 0.0153 memory: 13431 grad_norm: 3.2078 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2131 loss: 2.2131 2022/08/15 22:03:30 - mmengine - INFO - Epoch(train) [147][3700/3757] lr: 3.9045e-02 eta: 1 day, 21:38:33 time: 0.4059 data_time: 0.0171 memory: 13431 grad_norm: 3.2803 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5039 loss: 2.5039 2022/08/15 22:03:53 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 22:03:53 - mmengine - INFO - Epoch(train) [147][3757/3757] lr: 3.9045e-02 eta: 1 day, 21:38:17 time: 0.3928 data_time: 0.0148 memory: 13431 grad_norm: 3.3533 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 2.3400 loss: 2.3400 2022/08/15 22:04:35 - mmengine - INFO - Epoch(train) [148][100/3757] lr: 3.8447e-02 eta: 1 day, 21:37:27 time: 0.4046 data_time: 0.0154 memory: 13431 grad_norm: 3.2405 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1404 loss: 2.1404 2022/08/15 22:05:16 - mmengine - INFO - Epoch(train) [148][200/3757] lr: 3.8447e-02 eta: 1 day, 21:36:47 time: 0.4106 data_time: 0.0145 memory: 13431 grad_norm: 3.1583 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3403 loss: 2.3403 2022/08/15 22:05:57 - mmengine - INFO - Epoch(train) [148][300/3757] lr: 3.8447e-02 eta: 1 day, 21:36:07 time: 0.4026 data_time: 0.0154 memory: 13431 grad_norm: 3.3351 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4791 loss: 2.4791 2022/08/15 22:06:38 - mmengine - INFO - Epoch(train) [148][400/3757] lr: 3.8447e-02 eta: 1 day, 21:35:27 time: 0.4019 data_time: 0.0145 memory: 13431 grad_norm: 3.3100 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3976 loss: 2.3976 2022/08/15 22:07:19 - mmengine - INFO - Epoch(train) [148][500/3757] lr: 3.8447e-02 eta: 1 day, 21:34:48 time: 0.4076 data_time: 0.0151 memory: 13431 grad_norm: 3.2471 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4361 loss: 2.4361 2022/08/15 22:07:59 - mmengine - INFO - Epoch(train) [148][600/3757] lr: 3.8447e-02 eta: 1 day, 21:34:08 time: 0.4054 data_time: 0.0150 memory: 13431 grad_norm: 3.3789 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3989 loss: 2.3989 2022/08/15 22:08:40 - mmengine - INFO - Epoch(train) [148][700/3757] lr: 3.8447e-02 eta: 1 day, 21:33:28 time: 0.4032 data_time: 0.0149 memory: 13431 grad_norm: 3.1687 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3904 loss: 2.3904 2022/08/15 22:08:49 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 22:09:21 - mmengine - INFO - Epoch(train) [148][800/3757] lr: 3.8447e-02 eta: 1 day, 21:32:48 time: 0.4052 data_time: 0.0157 memory: 13431 grad_norm: 3.1474 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2168 loss: 2.2168 2022/08/15 22:10:02 - mmengine - INFO - Epoch(train) [148][900/3757] lr: 3.8447e-02 eta: 1 day, 21:32:09 time: 0.4149 data_time: 0.0141 memory: 13431 grad_norm: 3.2337 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2883 loss: 2.2883 2022/08/15 22:10:42 - mmengine - INFO - Epoch(train) [148][1000/3757] lr: 3.8447e-02 eta: 1 day, 21:31:29 time: 0.4051 data_time: 0.0151 memory: 13431 grad_norm: 3.2117 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3825 loss: 2.3825 2022/08/15 22:11:23 - mmengine - INFO - Epoch(train) [148][1100/3757] lr: 3.8447e-02 eta: 1 day, 21:30:49 time: 0.4037 data_time: 0.0163 memory: 13431 grad_norm: 3.2834 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5133 loss: 2.5133 2022/08/15 22:12:04 - mmengine - INFO - Epoch(train) [148][1200/3757] lr: 3.8447e-02 eta: 1 day, 21:30:10 time: 0.4078 data_time: 0.0148 memory: 13431 grad_norm: 3.2775 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3872 loss: 2.3872 2022/08/15 22:12:45 - mmengine - INFO - Epoch(train) [148][1300/3757] lr: 3.8447e-02 eta: 1 day, 21:29:30 time: 0.4032 data_time: 0.0153 memory: 13431 grad_norm: 3.2560 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3401 loss: 2.3401 2022/08/15 22:13:25 - mmengine - INFO - Epoch(train) [148][1400/3757] lr: 3.8447e-02 eta: 1 day, 21:28:50 time: 0.4037 data_time: 0.0171 memory: 13431 grad_norm: 3.2302 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3623 loss: 2.3623 2022/08/15 22:14:06 - mmengine - INFO - Epoch(train) [148][1500/3757] lr: 3.8447e-02 eta: 1 day, 21:28:10 time: 0.4032 data_time: 0.0152 memory: 13431 grad_norm: 3.3155 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3802 loss: 2.3802 2022/08/15 22:14:47 - mmengine - INFO - Epoch(train) [148][1600/3757] lr: 3.8447e-02 eta: 1 day, 21:27:30 time: 0.4104 data_time: 0.0151 memory: 13431 grad_norm: 3.3511 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3685 loss: 2.3685 2022/08/15 22:15:27 - mmengine - INFO - Epoch(train) [148][1700/3757] lr: 3.8447e-02 eta: 1 day, 21:26:50 time: 0.4024 data_time: 0.0152 memory: 13431 grad_norm: 3.2776 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4368 loss: 2.4368 2022/08/15 22:15:36 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 22:16:08 - mmengine - INFO - Epoch(train) [148][1800/3757] lr: 3.8447e-02 eta: 1 day, 21:26:11 time: 0.4076 data_time: 0.0154 memory: 13431 grad_norm: 3.3374 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6517 loss: 2.6517 2022/08/15 22:16:49 - mmengine - INFO - Epoch(train) [148][1900/3757] lr: 3.8447e-02 eta: 1 day, 21:25:31 time: 0.4100 data_time: 0.0148 memory: 13431 grad_norm: 3.3946 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.9176 loss: 2.9176 2022/08/15 22:17:30 - mmengine - INFO - Epoch(train) [148][2000/3757] lr: 3.8447e-02 eta: 1 day, 21:24:51 time: 0.4037 data_time: 0.0151 memory: 13431 grad_norm: 3.2814 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5558 loss: 2.5558 2022/08/15 22:18:10 - mmengine - INFO - Epoch(train) [148][2100/3757] lr: 3.8447e-02 eta: 1 day, 21:24:11 time: 0.4028 data_time: 0.0152 memory: 13431 grad_norm: 3.1407 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4382 loss: 2.4382 2022/08/15 22:18:51 - mmengine - INFO - Epoch(train) [148][2200/3757] lr: 3.8447e-02 eta: 1 day, 21:23:32 time: 0.4048 data_time: 0.0155 memory: 13431 grad_norm: 3.2755 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3387 loss: 2.3387 2022/08/15 22:19:32 - mmengine - INFO - Epoch(train) [148][2300/3757] lr: 3.8447e-02 eta: 1 day, 21:22:52 time: 0.4130 data_time: 0.0179 memory: 13431 grad_norm: 3.4281 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6379 loss: 2.6379 2022/08/15 22:20:13 - mmengine - INFO - Epoch(train) [148][2400/3757] lr: 3.8447e-02 eta: 1 day, 21:22:12 time: 0.4035 data_time: 0.0150 memory: 13431 grad_norm: 3.2212 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4879 loss: 2.4879 2022/08/15 22:21:17 - mmengine - INFO - Epoch(train) [148][2500/3757] lr: 3.8447e-02 eta: 1 day, 21:21:50 time: 0.5806 data_time: 0.0170 memory: 13431 grad_norm: 3.3410 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3617 loss: 2.3617 2022/08/15 22:22:02 - mmengine - INFO - Epoch(train) [148][2600/3757] lr: 3.8447e-02 eta: 1 day, 21:21:13 time: 0.4029 data_time: 0.0154 memory: 13431 grad_norm: 3.1666 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3123 loss: 2.3123 2022/08/15 22:22:43 - mmengine - INFO - Epoch(train) [148][2700/3757] lr: 3.8447e-02 eta: 1 day, 21:20:33 time: 0.4045 data_time: 0.0150 memory: 13431 grad_norm: 3.2136 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3257 loss: 2.3257 2022/08/15 22:22:51 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 22:23:23 - mmengine - INFO - Epoch(train) [148][2800/3757] lr: 3.8447e-02 eta: 1 day, 21:19:53 time: 0.4050 data_time: 0.0164 memory: 13431 grad_norm: 3.2392 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5799 loss: 2.5799 2022/08/15 22:24:06 - mmengine - INFO - Epoch(train) [148][2900/3757] lr: 3.8447e-02 eta: 1 day, 21:19:15 time: 0.4087 data_time: 0.0159 memory: 13431 grad_norm: 3.4292 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4143 loss: 2.4143 2022/08/15 22:24:47 - mmengine - INFO - Epoch(train) [148][3000/3757] lr: 3.8447e-02 eta: 1 day, 21:18:35 time: 0.4114 data_time: 0.0154 memory: 13431 grad_norm: 3.2575 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5032 loss: 2.5032 2022/08/15 22:25:27 - mmengine - INFO - Epoch(train) [148][3100/3757] lr: 3.8447e-02 eta: 1 day, 21:17:55 time: 0.4016 data_time: 0.0148 memory: 13431 grad_norm: 3.3197 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5642 loss: 2.5642 2022/08/15 22:26:08 - mmengine - INFO - Epoch(train) [148][3200/3757] lr: 3.8447e-02 eta: 1 day, 21:17:16 time: 0.4011 data_time: 0.0145 memory: 13431 grad_norm: 3.1975 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5945 loss: 2.5945 2022/08/15 22:26:49 - mmengine - INFO - Epoch(train) [148][3300/3757] lr: 3.8447e-02 eta: 1 day, 21:16:36 time: 0.4038 data_time: 0.0143 memory: 13431 grad_norm: 3.2136 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4427 loss: 2.4427 2022/08/15 22:27:30 - mmengine - INFO - Epoch(train) [148][3400/3757] lr: 3.8447e-02 eta: 1 day, 21:15:56 time: 0.4099 data_time: 0.0153 memory: 13431 grad_norm: 3.1970 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4376 loss: 2.4376 2022/08/15 22:28:11 - mmengine - INFO - Epoch(train) [148][3500/3757] lr: 3.8447e-02 eta: 1 day, 21:15:16 time: 0.4054 data_time: 0.0172 memory: 13431 grad_norm: 3.2665 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3850 loss: 2.3850 2022/08/15 22:28:52 - mmengine - INFO - Epoch(train) [148][3600/3757] lr: 3.8447e-02 eta: 1 day, 21:14:37 time: 0.4038 data_time: 0.0147 memory: 13431 grad_norm: 3.3459 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.4186 loss: 2.4186 2022/08/15 22:29:33 - mmengine - INFO - Epoch(train) [148][3700/3757] lr: 3.8447e-02 eta: 1 day, 21:13:57 time: 0.4148 data_time: 0.0152 memory: 13431 grad_norm: 3.3540 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1926 loss: 2.1926 2022/08/15 22:29:41 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 22:29:56 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 22:29:56 - mmengine - INFO - Epoch(train) [148][3757/3757] lr: 3.8447e-02 eta: 1 day, 21:13:41 time: 0.3886 data_time: 0.0139 memory: 13431 grad_norm: 3.3165 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.5430 loss: 2.5430 2022/08/15 22:29:56 - mmengine - INFO - Saving checkpoint at 148 epochs 2022/08/15 22:30:43 - mmengine - INFO - Epoch(train) [149][100/3757] lr: 3.7851e-02 eta: 1 day, 21:12:51 time: 0.4028 data_time: 0.0152 memory: 13431 grad_norm: 3.2783 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6668 loss: 2.6668 2022/08/15 22:31:24 - mmengine - INFO - Epoch(train) [149][200/3757] lr: 3.7851e-02 eta: 1 day, 21:12:11 time: 0.4063 data_time: 0.0141 memory: 13431 grad_norm: 3.2748 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3543 loss: 2.3543 2022/08/15 22:32:05 - mmengine - INFO - Epoch(train) [149][300/3757] lr: 3.7851e-02 eta: 1 day, 21:11:31 time: 0.4011 data_time: 0.0150 memory: 13431 grad_norm: 3.3455 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.4490 loss: 2.4490 2022/08/15 22:32:46 - mmengine - INFO - Epoch(train) [149][400/3757] lr: 3.7851e-02 eta: 1 day, 21:10:51 time: 0.4016 data_time: 0.0150 memory: 13431 grad_norm: 3.2991 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5969 loss: 2.5969 2022/08/15 22:33:26 - mmengine - INFO - Epoch(train) [149][500/3757] lr: 3.7851e-02 eta: 1 day, 21:10:11 time: 0.4032 data_time: 0.0142 memory: 13431 grad_norm: 3.1842 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3983 loss: 2.3983 2022/08/15 22:34:07 - mmengine - INFO - Epoch(train) [149][600/3757] lr: 3.7851e-02 eta: 1 day, 21:09:31 time: 0.4031 data_time: 0.0150 memory: 13431 grad_norm: 3.3237 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.4442 loss: 2.4442 2022/08/15 22:34:48 - mmengine - INFO - Epoch(train) [149][700/3757] lr: 3.7851e-02 eta: 1 day, 21:08:52 time: 0.4039 data_time: 0.0153 memory: 13431 grad_norm: 3.4460 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3327 loss: 2.3327 2022/08/15 22:35:29 - mmengine - INFO - Epoch(train) [149][800/3757] lr: 3.7851e-02 eta: 1 day, 21:08:12 time: 0.4112 data_time: 0.0142 memory: 13431 grad_norm: 3.2724 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2391 loss: 2.2391 2022/08/15 22:36:09 - mmengine - INFO - Epoch(train) [149][900/3757] lr: 3.7851e-02 eta: 1 day, 21:07:32 time: 0.4077 data_time: 0.0154 memory: 13431 grad_norm: 3.3177 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.5241 loss: 2.5241 2022/08/15 22:36:36 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 22:36:50 - mmengine - INFO - Epoch(train) [149][1000/3757] lr: 3.7851e-02 eta: 1 day, 21:06:52 time: 0.4028 data_time: 0.0142 memory: 13431 grad_norm: 3.3813 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2594 loss: 2.2594 2022/08/15 22:37:31 - mmengine - INFO - Epoch(train) [149][1100/3757] lr: 3.7851e-02 eta: 1 day, 21:06:13 time: 0.4026 data_time: 0.0140 memory: 13431 grad_norm: 3.2490 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4273 loss: 2.4273 2022/08/15 22:38:11 - mmengine - INFO - Epoch(train) [149][1200/3757] lr: 3.7851e-02 eta: 1 day, 21:05:33 time: 0.4043 data_time: 0.0153 memory: 13431 grad_norm: 3.2921 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3749 loss: 2.3749 2022/08/15 22:38:52 - mmengine - INFO - Epoch(train) [149][1300/3757] lr: 3.7851e-02 eta: 1 day, 21:04:53 time: 0.4066 data_time: 0.0170 memory: 13431 grad_norm: 3.4342 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.5381 loss: 2.5381 2022/08/15 22:39:33 - mmengine - INFO - Epoch(train) [149][1400/3757] lr: 3.7851e-02 eta: 1 day, 21:04:13 time: 0.4036 data_time: 0.0170 memory: 13431 grad_norm: 3.4178 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8194 loss: 2.8194 2022/08/15 22:40:14 - mmengine - INFO - Epoch(train) [149][1500/3757] lr: 3.7851e-02 eta: 1 day, 21:03:33 time: 0.4042 data_time: 0.0146 memory: 13431 grad_norm: 3.2180 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3379 loss: 2.3379 2022/08/15 22:40:55 - mmengine - INFO - Epoch(train) [149][1600/3757] lr: 3.7851e-02 eta: 1 day, 21:02:54 time: 0.4051 data_time: 0.0153 memory: 13431 grad_norm: 3.3423 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5651 loss: 2.5651 2022/08/15 22:41:35 - mmengine - INFO - Epoch(train) [149][1700/3757] lr: 3.7851e-02 eta: 1 day, 21:02:14 time: 0.4029 data_time: 0.0147 memory: 13431 grad_norm: 3.2535 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5006 loss: 2.5006 2022/08/15 22:42:16 - mmengine - INFO - Epoch(train) [149][1800/3757] lr: 3.7851e-02 eta: 1 day, 21:01:34 time: 0.4053 data_time: 0.0151 memory: 13431 grad_norm: 3.2988 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4776 loss: 2.4776 2022/08/15 22:42:57 - mmengine - INFO - Epoch(train) [149][1900/3757] lr: 3.7851e-02 eta: 1 day, 21:00:54 time: 0.4040 data_time: 0.0150 memory: 13431 grad_norm: 3.2850 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2581 loss: 2.2581 2022/08/15 22:43:23 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 22:43:38 - mmengine - INFO - Epoch(train) [149][2000/3757] lr: 3.7851e-02 eta: 1 day, 21:00:15 time: 0.4039 data_time: 0.0155 memory: 13431 grad_norm: 3.3592 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2416 loss: 2.2416 2022/08/15 22:44:19 - mmengine - INFO - Epoch(train) [149][2100/3757] lr: 3.7851e-02 eta: 1 day, 20:59:35 time: 0.4088 data_time: 0.0154 memory: 13431 grad_norm: 3.2962 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5973 loss: 2.5973 2022/08/15 22:44:59 - mmengine - INFO - Epoch(train) [149][2200/3757] lr: 3.7851e-02 eta: 1 day, 20:58:55 time: 0.4022 data_time: 0.0149 memory: 13431 grad_norm: 3.3387 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.4137 loss: 2.4137 2022/08/15 22:45:40 - mmengine - INFO - Epoch(train) [149][2300/3757] lr: 3.7851e-02 eta: 1 day, 20:58:16 time: 0.4065 data_time: 0.0166 memory: 13431 grad_norm: 3.3039 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3977 loss: 2.3977 2022/08/15 22:46:21 - mmengine - INFO - Epoch(train) [149][2400/3757] lr: 3.7851e-02 eta: 1 day, 20:57:36 time: 0.4071 data_time: 0.0159 memory: 13431 grad_norm: 3.3704 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2968 loss: 2.2968 2022/08/15 22:47:02 - mmengine - INFO - Epoch(train) [149][2500/3757] lr: 3.7851e-02 eta: 1 day, 20:56:56 time: 0.4057 data_time: 0.0151 memory: 13431 grad_norm: 3.3383 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0620 loss: 2.0620 2022/08/15 22:47:43 - mmengine - INFO - Epoch(train) [149][2600/3757] lr: 3.7851e-02 eta: 1 day, 20:56:16 time: 0.4047 data_time: 0.0157 memory: 13431 grad_norm: 3.2251 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6692 loss: 2.6692 2022/08/15 22:48:23 - mmengine - INFO - Epoch(train) [149][2700/3757] lr: 3.7851e-02 eta: 1 day, 20:55:36 time: 0.4052 data_time: 0.0150 memory: 13431 grad_norm: 3.2681 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4075 loss: 2.4075 2022/08/15 22:49:14 - mmengine - INFO - Epoch(train) [149][2800/3757] lr: 3.7851e-02 eta: 1 day, 20:55:04 time: 0.8159 data_time: 0.0702 memory: 13431 grad_norm: 3.3558 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6779 loss: 2.6779 2022/08/15 22:49:55 - mmengine - INFO - Epoch(train) [149][2900/3757] lr: 3.7851e-02 eta: 1 day, 20:54:24 time: 0.4017 data_time: 0.0149 memory: 13431 grad_norm: 3.2557 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3762 loss: 2.3762 2022/08/15 22:50:21 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 22:50:36 - mmengine - INFO - Epoch(train) [149][3000/3757] lr: 3.7851e-02 eta: 1 day, 20:53:45 time: 0.4062 data_time: 0.0159 memory: 13431 grad_norm: 3.3880 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5008 loss: 2.5008 2022/08/15 22:51:17 - mmengine - INFO - Epoch(train) [149][3100/3757] lr: 3.7851e-02 eta: 1 day, 20:53:05 time: 0.4025 data_time: 0.0147 memory: 13431 grad_norm: 3.2341 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3146 loss: 2.3146 2022/08/15 22:51:58 - mmengine - INFO - Epoch(train) [149][3200/3757] lr: 3.7851e-02 eta: 1 day, 20:52:25 time: 0.4059 data_time: 0.0167 memory: 13431 grad_norm: 3.2613 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2548 loss: 2.2548 2022/08/15 22:52:38 - mmengine - INFO - Epoch(train) [149][3300/3757] lr: 3.7851e-02 eta: 1 day, 20:51:45 time: 0.4035 data_time: 0.0147 memory: 13431 grad_norm: 3.3008 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4313 loss: 2.4313 2022/08/15 22:53:19 - mmengine - INFO - Epoch(train) [149][3400/3757] lr: 3.7851e-02 eta: 1 day, 20:51:06 time: 0.4041 data_time: 0.0158 memory: 13431 grad_norm: 3.3521 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6256 loss: 2.6256 2022/08/15 22:54:00 - mmengine - INFO - Epoch(train) [149][3500/3757] lr: 3.7851e-02 eta: 1 day, 20:50:26 time: 0.4044 data_time: 0.0146 memory: 13431 grad_norm: 3.3079 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6341 loss: 2.6341 2022/08/15 22:54:41 - mmengine - INFO - Epoch(train) [149][3600/3757] lr: 3.7851e-02 eta: 1 day, 20:49:46 time: 0.4065 data_time: 0.0143 memory: 13431 grad_norm: 3.2364 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5255 loss: 2.5255 2022/08/15 22:55:22 - mmengine - INFO - Epoch(train) [149][3700/3757] lr: 3.7851e-02 eta: 1 day, 20:49:07 time: 0.4041 data_time: 0.0146 memory: 13431 grad_norm: 3.3497 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5696 loss: 2.5696 2022/08/15 22:55:45 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 22:55:45 - mmengine - INFO - Epoch(train) [149][3757/3757] lr: 3.7851e-02 eta: 1 day, 20:48:51 time: 0.3924 data_time: 0.0156 memory: 13431 grad_norm: 3.2869 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.5000 loss: 2.5000 2022/08/15 22:56:28 - mmengine - INFO - Epoch(train) [150][100/3757] lr: 3.7257e-02 eta: 1 day, 20:48:01 time: 0.4039 data_time: 0.0158 memory: 13431 grad_norm: 3.2660 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1378 loss: 2.1378 2022/08/15 22:57:09 - mmengine - INFO - Epoch(train) [150][200/3757] lr: 3.7257e-02 eta: 1 day, 20:47:21 time: 0.4055 data_time: 0.0158 memory: 13431 grad_norm: 3.1759 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2756 loss: 2.2756 2022/08/15 22:57:12 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 22:57:50 - mmengine - INFO - Epoch(train) [150][300/3757] lr: 3.7257e-02 eta: 1 day, 20:46:41 time: 0.4035 data_time: 0.0150 memory: 13431 grad_norm: 3.2773 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3750 loss: 2.3750 2022/08/15 22:58:31 - mmengine - INFO - Epoch(train) [150][400/3757] lr: 3.7257e-02 eta: 1 day, 20:46:02 time: 0.4043 data_time: 0.0158 memory: 13431 grad_norm: 3.1201 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2980 loss: 2.2980 2022/08/15 22:59:11 - mmengine - INFO - Epoch(train) [150][500/3757] lr: 3.7257e-02 eta: 1 day, 20:45:22 time: 0.4027 data_time: 0.0153 memory: 13431 grad_norm: 3.2570 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6159 loss: 2.6159 2022/08/15 22:59:52 - mmengine - INFO - Epoch(train) [150][600/3757] lr: 3.7257e-02 eta: 1 day, 20:44:42 time: 0.4039 data_time: 0.0144 memory: 13431 grad_norm: 3.2800 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3840 loss: 2.3840 2022/08/15 23:00:33 - mmengine - INFO - Epoch(train) [150][700/3757] lr: 3.7257e-02 eta: 1 day, 20:44:02 time: 0.4046 data_time: 0.0163 memory: 13431 grad_norm: 3.3876 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6242 loss: 2.6242 2022/08/15 23:01:14 - mmengine - INFO - Epoch(train) [150][800/3757] lr: 3.7257e-02 eta: 1 day, 20:43:23 time: 0.4048 data_time: 0.0159 memory: 13431 grad_norm: 3.4064 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5360 loss: 2.5360 2022/08/15 23:01:54 - mmengine - INFO - Epoch(train) [150][900/3757] lr: 3.7257e-02 eta: 1 day, 20:42:43 time: 0.4040 data_time: 0.0165 memory: 13431 grad_norm: 3.3600 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3944 loss: 2.3944 2022/08/15 23:02:35 - mmengine - INFO - Epoch(train) [150][1000/3757] lr: 3.7257e-02 eta: 1 day, 20:42:03 time: 0.4052 data_time: 0.0145 memory: 13431 grad_norm: 3.3112 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5492 loss: 2.5492 2022/08/15 23:03:16 - mmengine - INFO - Epoch(train) [150][1100/3757] lr: 3.7257e-02 eta: 1 day, 20:41:23 time: 0.4145 data_time: 0.0160 memory: 13431 grad_norm: 3.4126 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3297 loss: 2.3297 2022/08/15 23:03:57 - mmengine - INFO - Epoch(train) [150][1200/3757] lr: 3.7257e-02 eta: 1 day, 20:40:43 time: 0.4064 data_time: 0.0162 memory: 13431 grad_norm: 3.3639 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3824 loss: 2.3824 2022/08/15 23:03:59 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 23:04:37 - mmengine - INFO - Epoch(train) [150][1300/3757] lr: 3.7257e-02 eta: 1 day, 20:40:04 time: 0.4047 data_time: 0.0148 memory: 13431 grad_norm: 3.2264 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5897 loss: 2.5897 2022/08/15 23:05:18 - mmengine - INFO - Epoch(train) [150][1400/3757] lr: 3.7257e-02 eta: 1 day, 20:39:24 time: 0.4037 data_time: 0.0152 memory: 13431 grad_norm: 3.3097 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3372 loss: 2.3372 2022/08/15 23:05:59 - mmengine - INFO - Epoch(train) [150][1500/3757] lr: 3.7257e-02 eta: 1 day, 20:38:44 time: 0.4086 data_time: 0.0151 memory: 13431 grad_norm: 3.2240 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2427 loss: 2.2427 2022/08/15 23:06:40 - mmengine - INFO - Epoch(train) [150][1600/3757] lr: 3.7257e-02 eta: 1 day, 20:38:04 time: 0.4085 data_time: 0.0152 memory: 13431 grad_norm: 3.3309 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2112 loss: 2.2112 2022/08/15 23:07:21 - mmengine - INFO - Epoch(train) [150][1700/3757] lr: 3.7257e-02 eta: 1 day, 20:37:25 time: 0.4035 data_time: 0.0151 memory: 13431 grad_norm: 3.1678 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4500 loss: 2.4500 2022/08/15 23:08:02 - mmengine - INFO - Epoch(train) [150][1800/3757] lr: 3.7257e-02 eta: 1 day, 20:36:45 time: 0.4082 data_time: 0.0146 memory: 13431 grad_norm: 3.2578 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0826 loss: 2.0826 2022/08/15 23:08:42 - mmengine - INFO - Epoch(train) [150][1900/3757] lr: 3.7257e-02 eta: 1 day, 20:36:05 time: 0.4019 data_time: 0.0142 memory: 13431 grad_norm: 3.3310 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5318 loss: 2.5318 2022/08/15 23:09:23 - mmengine - INFO - Epoch(train) [150][2000/3757] lr: 3.7257e-02 eta: 1 day, 20:35:25 time: 0.4099 data_time: 0.0146 memory: 13431 grad_norm: 3.3318 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4404 loss: 2.4404 2022/08/15 23:10:04 - mmengine - INFO - Epoch(train) [150][2100/3757] lr: 3.7257e-02 eta: 1 day, 20:34:46 time: 0.4042 data_time: 0.0146 memory: 13431 grad_norm: 3.3242 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3067 loss: 2.3067 2022/08/15 23:10:45 - mmengine - INFO - Epoch(train) [150][2200/3757] lr: 3.7257e-02 eta: 1 day, 20:34:06 time: 0.4034 data_time: 0.0147 memory: 13431 grad_norm: 3.3467 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4289 loss: 2.4289 2022/08/15 23:10:48 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 23:11:26 - mmengine - INFO - Epoch(train) [150][2300/3757] lr: 3.7257e-02 eta: 1 day, 20:33:26 time: 0.4044 data_time: 0.0151 memory: 13431 grad_norm: 3.1483 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0999 loss: 2.0999 2022/08/15 23:12:06 - mmengine - INFO - Epoch(train) [150][2400/3757] lr: 3.7257e-02 eta: 1 day, 20:32:46 time: 0.4076 data_time: 0.0160 memory: 13431 grad_norm: 3.2495 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4051 loss: 2.4051 2022/08/15 23:12:47 - mmengine - INFO - Epoch(train) [150][2500/3757] lr: 3.7257e-02 eta: 1 day, 20:32:07 time: 0.4101 data_time: 0.0156 memory: 13431 grad_norm: 3.3402 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1806 loss: 2.1806 2022/08/15 23:13:28 - mmengine - INFO - Epoch(train) [150][2600/3757] lr: 3.7257e-02 eta: 1 day, 20:31:27 time: 0.4025 data_time: 0.0157 memory: 13431 grad_norm: 3.3902 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4630 loss: 2.4630 2022/08/15 23:14:09 - mmengine - INFO - Epoch(train) [150][2700/3757] lr: 3.7257e-02 eta: 1 day, 20:30:47 time: 0.4021 data_time: 0.0158 memory: 13431 grad_norm: 3.3618 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2520 loss: 2.2520 2022/08/15 23:14:50 - mmengine - INFO - Epoch(train) [150][2800/3757] lr: 3.7257e-02 eta: 1 day, 20:30:07 time: 0.4032 data_time: 0.0153 memory: 13431 grad_norm: 3.3661 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4722 loss: 2.4722 2022/08/15 23:15:30 - mmengine - INFO - Epoch(train) [150][2900/3757] lr: 3.7257e-02 eta: 1 day, 20:29:28 time: 0.4047 data_time: 0.0153 memory: 13431 grad_norm: 3.2510 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5327 loss: 2.5327 2022/08/15 23:16:11 - mmengine - INFO - Epoch(train) [150][3000/3757] lr: 3.7257e-02 eta: 1 day, 20:28:48 time: 0.4048 data_time: 0.0152 memory: 13431 grad_norm: 3.4434 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6188 loss: 2.6188 2022/08/15 23:16:52 - mmengine - INFO - Epoch(train) [150][3100/3757] lr: 3.7257e-02 eta: 1 day, 20:28:08 time: 0.4026 data_time: 0.0148 memory: 13431 grad_norm: 3.3853 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4968 loss: 2.4968 2022/08/15 23:17:33 - mmengine - INFO - Epoch(train) [150][3200/3757] lr: 3.7257e-02 eta: 1 day, 20:27:28 time: 0.4099 data_time: 0.0144 memory: 13431 grad_norm: 3.3268 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1544 loss: 2.1544 2022/08/15 23:17:35 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 23:18:13 - mmengine - INFO - Epoch(train) [150][3300/3757] lr: 3.7257e-02 eta: 1 day, 20:26:48 time: 0.4028 data_time: 0.0158 memory: 13431 grad_norm: 3.3783 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6356 loss: 2.6356 2022/08/15 23:18:54 - mmengine - INFO - Epoch(train) [150][3400/3757] lr: 3.7257e-02 eta: 1 day, 20:26:08 time: 0.4030 data_time: 0.0149 memory: 13431 grad_norm: 3.3510 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2744 loss: 2.2744 2022/08/15 23:19:35 - mmengine - INFO - Epoch(train) [150][3500/3757] lr: 3.7257e-02 eta: 1 day, 20:25:29 time: 0.4026 data_time: 0.0147 memory: 13431 grad_norm: 3.3309 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4317 loss: 2.4317 2022/08/15 23:20:16 - mmengine - INFO - Epoch(train) [150][3600/3757] lr: 3.7257e-02 eta: 1 day, 20:24:49 time: 0.4056 data_time: 0.0161 memory: 13431 grad_norm: 3.1836 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2185 loss: 2.2185 2022/08/15 23:20:56 - mmengine - INFO - Epoch(train) [150][3700/3757] lr: 3.7257e-02 eta: 1 day, 20:24:09 time: 0.4041 data_time: 0.0156 memory: 13431 grad_norm: 3.3791 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4414 loss: 2.4414 2022/08/15 23:21:19 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 23:21:19 - mmengine - INFO - Epoch(train) [150][3757/3757] lr: 3.7257e-02 eta: 1 day, 20:23:53 time: 0.3989 data_time: 0.0157 memory: 13431 grad_norm: 3.3012 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.4476 loss: 2.4476 2022/08/15 23:21:42 - mmengine - INFO - Epoch(val) [150][100/310] eta: 0:00:46 time: 0.2212 data_time: 0.0913 memory: 1974 2022/08/15 23:22:02 - mmengine - INFO - Epoch(val) [150][200/310] eta: 0:00:20 time: 0.1872 data_time: 0.0582 memory: 1974 2022/08/15 23:22:23 - mmengine - INFO - Epoch(val) [150][300/310] eta: 0:00:02 time: 0.2059 data_time: 0.0771 memory: 1974 2022/08/15 23:22:28 - mmengine - INFO - Epoch(val) [150][310/310] acc/top1: 0.5137 acc/top5: 0.7701 acc/mean1: 0.5136 2022/08/15 23:22:29 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_146.pth is removed 2022/08/15 23:22:32 - mmengine - INFO - The best checkpoint with 0.5137 acc/top1 at 151 epoch is saved to best_acc/top1_epoch_151.pth. 2022/08/15 23:23:14 - mmengine - INFO - Epoch(train) [151][100/3757] lr: 3.6664e-02 eta: 1 day, 20:23:03 time: 0.4076 data_time: 0.0160 memory: 13431 grad_norm: 3.4453 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3129 loss: 2.3129 2022/08/15 23:23:55 - mmengine - INFO - Epoch(train) [151][200/3757] lr: 3.6664e-02 eta: 1 day, 20:22:23 time: 0.4036 data_time: 0.0147 memory: 13431 grad_norm: 3.1702 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1944 loss: 2.1944 2022/08/15 23:24:36 - mmengine - INFO - Epoch(train) [151][300/3757] lr: 3.6664e-02 eta: 1 day, 20:21:43 time: 0.4151 data_time: 0.0150 memory: 13431 grad_norm: 3.3108 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5526 loss: 2.5526 2022/08/15 23:25:17 - mmengine - INFO - Epoch(train) [151][400/3757] lr: 3.6664e-02 eta: 1 day, 20:21:03 time: 0.4036 data_time: 0.0147 memory: 13431 grad_norm: 3.3175 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5095 loss: 2.5095 2022/08/15 23:25:37 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 23:25:57 - mmengine - INFO - Epoch(train) [151][500/3757] lr: 3.6664e-02 eta: 1 day, 20:20:24 time: 0.4078 data_time: 0.0154 memory: 13431 grad_norm: 3.4213 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2555 loss: 2.2555 2022/08/15 23:26:38 - mmengine - INFO - Epoch(train) [151][600/3757] lr: 3.6664e-02 eta: 1 day, 20:19:44 time: 0.4092 data_time: 0.0169 memory: 13431 grad_norm: 3.3372 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4327 loss: 2.4327 2022/08/15 23:27:19 - mmengine - INFO - Epoch(train) [151][700/3757] lr: 3.6664e-02 eta: 1 day, 20:19:04 time: 0.4052 data_time: 0.0164 memory: 13431 grad_norm: 3.3920 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4490 loss: 2.4490 2022/08/15 23:27:59 - mmengine - INFO - Epoch(train) [151][800/3757] lr: 3.6664e-02 eta: 1 day, 20:18:24 time: 0.4034 data_time: 0.0146 memory: 13431 grad_norm: 3.2963 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3202 loss: 2.3202 2022/08/15 23:28:40 - mmengine - INFO - Epoch(train) [151][900/3757] lr: 3.6664e-02 eta: 1 day, 20:17:44 time: 0.4028 data_time: 0.0154 memory: 13431 grad_norm: 3.3144 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7125 loss: 2.7125 2022/08/15 23:29:21 - mmengine - INFO - Epoch(train) [151][1000/3757] lr: 3.6664e-02 eta: 1 day, 20:17:05 time: 0.4120 data_time: 0.0160 memory: 13431 grad_norm: 3.4251 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6213 loss: 2.6213 2022/08/15 23:30:02 - mmengine - INFO - Epoch(train) [151][1100/3757] lr: 3.6664e-02 eta: 1 day, 20:16:25 time: 0.4048 data_time: 0.0153 memory: 13431 grad_norm: 3.4391 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.7644 loss: 2.7644 2022/08/15 23:30:43 - mmengine - INFO - Epoch(train) [151][1200/3757] lr: 3.6664e-02 eta: 1 day, 20:15:45 time: 0.4042 data_time: 0.0144 memory: 13431 grad_norm: 3.3463 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5832 loss: 2.5832 2022/08/15 23:31:23 - mmengine - INFO - Epoch(train) [151][1300/3757] lr: 3.6664e-02 eta: 1 day, 20:15:05 time: 0.4099 data_time: 0.0158 memory: 13431 grad_norm: 3.3297 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6020 loss: 2.6020 2022/08/15 23:32:04 - mmengine - INFO - Epoch(train) [151][1400/3757] lr: 3.6664e-02 eta: 1 day, 20:14:25 time: 0.4033 data_time: 0.0147 memory: 13431 grad_norm: 3.3811 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2138 loss: 2.2138 2022/08/15 23:32:24 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 23:32:45 - mmengine - INFO - Epoch(train) [151][1500/3757] lr: 3.6664e-02 eta: 1 day, 20:13:45 time: 0.4033 data_time: 0.0150 memory: 13431 grad_norm: 3.2984 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5914 loss: 2.5914 2022/08/15 23:33:26 - mmengine - INFO - Epoch(train) [151][1600/3757] lr: 3.6664e-02 eta: 1 day, 20:13:06 time: 0.4029 data_time: 0.0152 memory: 13431 grad_norm: 3.3747 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2825 loss: 2.2825 2022/08/15 23:34:07 - mmengine - INFO - Epoch(train) [151][1700/3757] lr: 3.6664e-02 eta: 1 day, 20:12:26 time: 0.4104 data_time: 0.0149 memory: 13431 grad_norm: 3.2076 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.5039 loss: 2.5039 2022/08/15 23:34:47 - mmengine - INFO - Epoch(train) [151][1800/3757] lr: 3.6664e-02 eta: 1 day, 20:11:46 time: 0.4039 data_time: 0.0155 memory: 13431 grad_norm: 3.2765 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4686 loss: 2.4686 2022/08/15 23:35:28 - mmengine - INFO - Epoch(train) [151][1900/3757] lr: 3.6664e-02 eta: 1 day, 20:11:06 time: 0.4064 data_time: 0.0166 memory: 13431 grad_norm: 3.2527 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.3681 loss: 2.3681 2022/08/15 23:36:09 - mmengine - INFO - Epoch(train) [151][2000/3757] lr: 3.6664e-02 eta: 1 day, 20:10:27 time: 0.4089 data_time: 0.0172 memory: 13431 grad_norm: 3.3619 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6629 loss: 2.6629 2022/08/15 23:36:49 - mmengine - INFO - Epoch(train) [151][2100/3757] lr: 3.6664e-02 eta: 1 day, 20:09:47 time: 0.4029 data_time: 0.0145 memory: 13431 grad_norm: 3.3562 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4199 loss: 2.4199 2022/08/15 23:37:30 - mmengine - INFO - Epoch(train) [151][2200/3757] lr: 3.6664e-02 eta: 1 day, 20:09:07 time: 0.4047 data_time: 0.0145 memory: 13431 grad_norm: 3.3222 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4406 loss: 2.4406 2022/08/15 23:38:11 - mmengine - INFO - Epoch(train) [151][2300/3757] lr: 3.6664e-02 eta: 1 day, 20:08:27 time: 0.4053 data_time: 0.0144 memory: 13431 grad_norm: 3.1702 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4157 loss: 2.4157 2022/08/15 23:38:52 - mmengine - INFO - Epoch(train) [151][2400/3757] lr: 3.6664e-02 eta: 1 day, 20:07:48 time: 0.4143 data_time: 0.0156 memory: 13431 grad_norm: 3.2450 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7615 loss: 2.7615 2022/08/15 23:39:13 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 23:39:33 - mmengine - INFO - Epoch(train) [151][2500/3757] lr: 3.6664e-02 eta: 1 day, 20:07:08 time: 0.4036 data_time: 0.0153 memory: 13431 grad_norm: 3.3147 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3929 loss: 2.3929 2022/08/15 23:40:14 - mmengine - INFO - Epoch(train) [151][2600/3757] lr: 3.6664e-02 eta: 1 day, 20:06:28 time: 0.4051 data_time: 0.0155 memory: 13431 grad_norm: 3.2481 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8384 loss: 2.8384 2022/08/15 23:40:54 - mmengine - INFO - Epoch(train) [151][2700/3757] lr: 3.6664e-02 eta: 1 day, 20:05:48 time: 0.4099 data_time: 0.0145 memory: 13431 grad_norm: 3.3194 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4350 loss: 2.4350 2022/08/15 23:41:35 - mmengine - INFO - Epoch(train) [151][2800/3757] lr: 3.6664e-02 eta: 1 day, 20:05:08 time: 0.4042 data_time: 0.0139 memory: 13431 grad_norm: 3.2915 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8030 loss: 2.8030 2022/08/15 23:42:16 - mmengine - INFO - Epoch(train) [151][2900/3757] lr: 3.6664e-02 eta: 1 day, 20:04:29 time: 0.4040 data_time: 0.0160 memory: 13431 grad_norm: 3.4029 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2277 loss: 2.2277 2022/08/15 23:42:57 - mmengine - INFO - Epoch(train) [151][3000/3757] lr: 3.6664e-02 eta: 1 day, 20:03:49 time: 0.4038 data_time: 0.0145 memory: 13431 grad_norm: 3.3559 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5239 loss: 2.5239 2022/08/15 23:43:38 - mmengine - INFO - Epoch(train) [151][3100/3757] lr: 3.6664e-02 eta: 1 day, 20:03:09 time: 0.4136 data_time: 0.0157 memory: 13431 grad_norm: 3.3518 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.8788 loss: 2.8788 2022/08/15 23:44:18 - mmengine - INFO - Epoch(train) [151][3200/3757] lr: 3.6664e-02 eta: 1 day, 20:02:29 time: 0.4061 data_time: 0.0151 memory: 13431 grad_norm: 3.3514 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3123 loss: 2.3123 2022/08/15 23:44:59 - mmengine - INFO - Epoch(train) [151][3300/3757] lr: 3.6664e-02 eta: 1 day, 20:01:49 time: 0.4043 data_time: 0.0156 memory: 13431 grad_norm: 3.3687 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1716 loss: 2.1716 2022/08/15 23:45:40 - mmengine - INFO - Epoch(train) [151][3400/3757] lr: 3.6664e-02 eta: 1 day, 20:01:09 time: 0.4110 data_time: 0.0157 memory: 13431 grad_norm: 3.3556 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5192 loss: 2.5192 2022/08/15 23:46:00 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 23:46:20 - mmengine - INFO - Epoch(train) [151][3500/3757] lr: 3.6664e-02 eta: 1 day, 20:00:30 time: 0.4054 data_time: 0.0153 memory: 13431 grad_norm: 3.4098 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6975 loss: 2.6975 2022/08/15 23:47:01 - mmengine - INFO - Epoch(train) [151][3600/3757] lr: 3.6664e-02 eta: 1 day, 19:59:50 time: 0.4041 data_time: 0.0151 memory: 13431 grad_norm: 3.4455 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6497 loss: 2.6497 2022/08/15 23:47:42 - mmengine - INFO - Epoch(train) [151][3700/3757] lr: 3.6664e-02 eta: 1 day, 19:59:10 time: 0.4034 data_time: 0.0144 memory: 13431 grad_norm: 3.4672 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3720 loss: 2.3720 2022/08/15 23:48:05 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 23:48:05 - mmengine - INFO - Epoch(train) [151][3757/3757] lr: 3.6664e-02 eta: 1 day, 19:58:54 time: 0.3933 data_time: 0.0140 memory: 13431 grad_norm: 3.3699 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.5663 loss: 2.5663 2022/08/15 23:48:48 - mmengine - INFO - Epoch(train) [152][100/3757] lr: 3.6074e-02 eta: 1 day, 19:58:04 time: 0.4111 data_time: 0.0149 memory: 13431 grad_norm: 3.4363 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5437 loss: 2.5437 2022/08/15 23:49:29 - mmengine - INFO - Epoch(train) [152][200/3757] lr: 3.6074e-02 eta: 1 day, 19:57:24 time: 0.4042 data_time: 0.0167 memory: 13431 grad_norm: 3.3618 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3779 loss: 2.3779 2022/08/15 23:50:09 - mmengine - INFO - Epoch(train) [152][300/3757] lr: 3.6074e-02 eta: 1 day, 19:56:44 time: 0.4053 data_time: 0.0146 memory: 13431 grad_norm: 3.2859 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2933 loss: 2.2933 2022/08/15 23:50:50 - mmengine - INFO - Epoch(train) [152][400/3757] lr: 3.6074e-02 eta: 1 day, 19:56:04 time: 0.4043 data_time: 0.0144 memory: 13431 grad_norm: 3.3753 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5586 loss: 2.5586 2022/08/15 23:51:31 - mmengine - INFO - Epoch(train) [152][500/3757] lr: 3.6074e-02 eta: 1 day, 19:55:25 time: 0.4127 data_time: 0.0160 memory: 13431 grad_norm: 3.5090 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3574 loss: 2.3574 2022/08/15 23:52:11 - mmengine - INFO - Epoch(train) [152][600/3757] lr: 3.6074e-02 eta: 1 day, 19:54:45 time: 0.4057 data_time: 0.0145 memory: 13431 grad_norm: 3.4317 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3208 loss: 2.3208 2022/08/15 23:52:49 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 23:52:52 - mmengine - INFO - Epoch(train) [152][700/3757] lr: 3.6074e-02 eta: 1 day, 19:54:05 time: 0.4047 data_time: 0.0166 memory: 13431 grad_norm: 3.2821 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4073 loss: 2.4073 2022/08/15 23:53:33 - mmengine - INFO - Epoch(train) [152][800/3757] lr: 3.6074e-02 eta: 1 day, 19:53:25 time: 0.4127 data_time: 0.0146 memory: 13431 grad_norm: 3.3618 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5419 loss: 2.5419 2022/08/15 23:54:14 - mmengine - INFO - Epoch(train) [152][900/3757] lr: 3.6074e-02 eta: 1 day, 19:52:45 time: 0.4026 data_time: 0.0151 memory: 13431 grad_norm: 3.3833 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6456 loss: 2.6456 2022/08/15 23:54:54 - mmengine - INFO - Epoch(train) [152][1000/3757] lr: 3.6074e-02 eta: 1 day, 19:52:05 time: 0.4052 data_time: 0.0145 memory: 13431 grad_norm: 3.2609 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7588 loss: 2.7588 2022/08/15 23:55:35 - mmengine - INFO - Epoch(train) [152][1100/3757] lr: 3.6074e-02 eta: 1 day, 19:51:26 time: 0.4029 data_time: 0.0145 memory: 13431 grad_norm: 3.2970 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0297 loss: 2.0297 2022/08/15 23:56:16 - mmengine - INFO - Epoch(train) [152][1200/3757] lr: 3.6074e-02 eta: 1 day, 19:50:46 time: 0.4127 data_time: 0.0157 memory: 13431 grad_norm: 3.3952 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.5822 loss: 2.5822 2022/08/15 23:56:56 - mmengine - INFO - Epoch(train) [152][1300/3757] lr: 3.6074e-02 eta: 1 day, 19:50:06 time: 0.4032 data_time: 0.0149 memory: 13431 grad_norm: 3.3087 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.7367 loss: 2.7367 2022/08/15 23:57:37 - mmengine - INFO - Epoch(train) [152][1400/3757] lr: 3.6074e-02 eta: 1 day, 19:49:26 time: 0.4017 data_time: 0.0148 memory: 13431 grad_norm: 3.2516 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1712 loss: 2.1712 2022/08/15 23:58:18 - mmengine - INFO - Epoch(train) [152][1500/3757] lr: 3.6074e-02 eta: 1 day, 19:48:47 time: 0.4098 data_time: 0.0152 memory: 13431 grad_norm: 3.4060 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4703 loss: 2.4703 2022/08/15 23:58:59 - mmengine - INFO - Epoch(train) [152][1600/3757] lr: 3.6074e-02 eta: 1 day, 19:48:07 time: 0.4062 data_time: 0.0151 memory: 13431 grad_norm: 3.3889 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5034 loss: 2.5034 2022/08/15 23:59:37 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/15 23:59:40 - mmengine - INFO - Epoch(train) [152][1700/3757] lr: 3.6074e-02 eta: 1 day, 19:47:27 time: 0.4034 data_time: 0.0145 memory: 13431 grad_norm: 3.3658 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3018 loss: 2.3018 2022/08/16 00:00:24 - mmengine - INFO - Epoch(train) [152][1800/3757] lr: 3.6074e-02 eta: 1 day, 19:46:50 time: 0.4072 data_time: 0.0160 memory: 13431 grad_norm: 3.4676 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2294 loss: 2.2294 2022/08/16 00:01:05 - mmengine - INFO - Epoch(train) [152][1900/3757] lr: 3.6074e-02 eta: 1 day, 19:46:10 time: 0.4119 data_time: 0.0171 memory: 13431 grad_norm: 3.3045 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5159 loss: 2.5159 2022/08/16 00:01:46 - mmengine - INFO - Epoch(train) [152][2000/3757] lr: 3.6074e-02 eta: 1 day, 19:45:30 time: 0.4088 data_time: 0.0153 memory: 13431 grad_norm: 3.4416 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3979 loss: 2.3979 2022/08/16 00:02:27 - mmengine - INFO - Epoch(train) [152][2100/3757] lr: 3.6074e-02 eta: 1 day, 19:44:51 time: 0.4046 data_time: 0.0160 memory: 13431 grad_norm: 3.3190 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2020 loss: 2.2020 2022/08/16 00:03:08 - mmengine - INFO - Epoch(train) [152][2200/3757] lr: 3.6074e-02 eta: 1 day, 19:44:11 time: 0.4147 data_time: 0.0159 memory: 13431 grad_norm: 3.3656 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.6909 loss: 2.6909 2022/08/16 00:03:48 - mmengine - INFO - Epoch(train) [152][2300/3757] lr: 3.6074e-02 eta: 1 day, 19:43:31 time: 0.4042 data_time: 0.0152 memory: 13431 grad_norm: 3.3725 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.1651 loss: 2.1651 2022/08/16 00:04:29 - mmengine - INFO - Epoch(train) [152][2400/3757] lr: 3.6074e-02 eta: 1 day, 19:42:51 time: 0.4040 data_time: 0.0148 memory: 13431 grad_norm: 3.3885 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6609 loss: 2.6609 2022/08/16 00:05:10 - mmengine - INFO - Epoch(train) [152][2500/3757] lr: 3.6074e-02 eta: 1 day, 19:42:11 time: 0.4061 data_time: 0.0163 memory: 13431 grad_norm: 3.3962 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5048 loss: 2.5048 2022/08/16 00:05:51 - mmengine - INFO - Epoch(train) [152][2600/3757] lr: 3.6074e-02 eta: 1 day, 19:41:32 time: 0.4208 data_time: 0.0168 memory: 13431 grad_norm: 3.2534 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4814 loss: 2.4814 2022/08/16 00:06:28 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 00:06:31 - mmengine - INFO - Epoch(train) [152][2700/3757] lr: 3.6074e-02 eta: 1 day, 19:40:52 time: 0.4030 data_time: 0.0157 memory: 13431 grad_norm: 3.4108 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5483 loss: 2.5483 2022/08/16 00:07:12 - mmengine - INFO - Epoch(train) [152][2800/3757] lr: 3.6074e-02 eta: 1 day, 19:40:12 time: 0.4028 data_time: 0.0157 memory: 13431 grad_norm: 3.3790 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7701 loss: 2.7701 2022/08/16 00:07:53 - mmengine - INFO - Epoch(train) [152][2900/3757] lr: 3.6074e-02 eta: 1 day, 19:39:32 time: 0.4072 data_time: 0.0150 memory: 13431 grad_norm: 3.3894 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4119 loss: 2.4119 2022/08/16 00:08:34 - mmengine - INFO - Epoch(train) [152][3000/3757] lr: 3.6074e-02 eta: 1 day, 19:38:52 time: 0.4029 data_time: 0.0147 memory: 13431 grad_norm: 3.5528 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2720 loss: 2.2720 2022/08/16 00:09:14 - mmengine - INFO - Epoch(train) [152][3100/3757] lr: 3.6074e-02 eta: 1 day, 19:38:12 time: 0.4063 data_time: 0.0147 memory: 13431 grad_norm: 3.4051 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1117 loss: 2.1117 2022/08/16 00:09:55 - mmengine - INFO - Epoch(train) [152][3200/3757] lr: 3.6074e-02 eta: 1 day, 19:37:33 time: 0.4050 data_time: 0.0164 memory: 13431 grad_norm: 3.3811 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7041 loss: 2.7041 2022/08/16 00:10:36 - mmengine - INFO - Epoch(train) [152][3300/3757] lr: 3.6074e-02 eta: 1 day, 19:36:53 time: 0.4174 data_time: 0.0150 memory: 13431 grad_norm: 3.2972 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2096 loss: 2.2096 2022/08/16 00:11:17 - mmengine - INFO - Epoch(train) [152][3400/3757] lr: 3.6074e-02 eta: 1 day, 19:36:13 time: 0.4054 data_time: 0.0173 memory: 13431 grad_norm: 3.4499 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5256 loss: 2.5256 2022/08/16 00:11:58 - mmengine - INFO - Epoch(train) [152][3500/3757] lr: 3.6074e-02 eta: 1 day, 19:35:33 time: 0.4014 data_time: 0.0147 memory: 13431 grad_norm: 3.3531 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3978 loss: 2.3978 2022/08/16 00:12:39 - mmengine - INFO - Epoch(train) [152][3600/3757] lr: 3.6074e-02 eta: 1 day, 19:34:54 time: 0.4035 data_time: 0.0149 memory: 13431 grad_norm: 3.4568 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2513 loss: 2.2513 2022/08/16 00:13:17 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 00:13:19 - mmengine - INFO - Epoch(train) [152][3700/3757] lr: 3.6074e-02 eta: 1 day, 19:34:14 time: 0.4039 data_time: 0.0147 memory: 13431 grad_norm: 3.2415 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8869 loss: 2.8869 2022/08/16 00:13:42 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 00:13:42 - mmengine - INFO - Epoch(train) [152][3757/3757] lr: 3.6074e-02 eta: 1 day, 19:33:58 time: 0.3920 data_time: 0.0157 memory: 13431 grad_norm: 3.4547 top1_acc: 0.1429 top5_acc: 0.4286 loss_cls: 2.6379 loss: 2.6379 2022/08/16 00:13:42 - mmengine - INFO - Saving checkpoint at 152 epochs 2022/08/16 00:14:30 - mmengine - INFO - Epoch(train) [153][100/3757] lr: 3.5486e-02 eta: 1 day, 19:33:07 time: 0.4067 data_time: 0.0154 memory: 13431 grad_norm: 3.3618 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3924 loss: 2.3924 2022/08/16 00:15:11 - mmengine - INFO - Epoch(train) [153][200/3757] lr: 3.5486e-02 eta: 1 day, 19:32:28 time: 0.4123 data_time: 0.0155 memory: 13431 grad_norm: 3.4740 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4023 loss: 2.4023 2022/08/16 00:15:51 - mmengine - INFO - Epoch(train) [153][300/3757] lr: 3.5486e-02 eta: 1 day, 19:31:48 time: 0.4024 data_time: 0.0159 memory: 13431 grad_norm: 3.2495 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2638 loss: 2.2638 2022/08/16 00:16:32 - mmengine - INFO - Epoch(train) [153][400/3757] lr: 3.5486e-02 eta: 1 day, 19:31:08 time: 0.4021 data_time: 0.0144 memory: 13431 grad_norm: 3.3952 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3935 loss: 2.3935 2022/08/16 00:17:13 - mmengine - INFO - Epoch(train) [153][500/3757] lr: 3.5486e-02 eta: 1 day, 19:30:28 time: 0.4139 data_time: 0.0160 memory: 13431 grad_norm: 3.2526 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1273 loss: 2.1273 2022/08/16 00:17:54 - mmengine - INFO - Epoch(train) [153][600/3757] lr: 3.5486e-02 eta: 1 day, 19:29:49 time: 0.4048 data_time: 0.0161 memory: 13431 grad_norm: 3.2603 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3520 loss: 2.3520 2022/08/16 00:18:35 - mmengine - INFO - Epoch(train) [153][700/3757] lr: 3.5486e-02 eta: 1 day, 19:29:09 time: 0.4039 data_time: 0.0150 memory: 13431 grad_norm: 3.4053 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5769 loss: 2.5769 2022/08/16 00:19:15 - mmengine - INFO - Epoch(train) [153][800/3757] lr: 3.5486e-02 eta: 1 day, 19:28:29 time: 0.4053 data_time: 0.0154 memory: 13431 grad_norm: 3.3225 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7313 loss: 2.7313 2022/08/16 00:19:56 - mmengine - INFO - Epoch(train) [153][900/3757] lr: 3.5486e-02 eta: 1 day, 19:27:49 time: 0.4029 data_time: 0.0150 memory: 13431 grad_norm: 3.4011 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.4836 loss: 2.4836 2022/08/16 00:20:11 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 00:20:37 - mmengine - INFO - Epoch(train) [153][1000/3757] lr: 3.5486e-02 eta: 1 day, 19:27:09 time: 0.4050 data_time: 0.0156 memory: 13431 grad_norm: 3.3259 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1404 loss: 2.1404 2022/08/16 00:21:18 - mmengine - INFO - Epoch(train) [153][1100/3757] lr: 3.5486e-02 eta: 1 day, 19:26:29 time: 0.4037 data_time: 0.0146 memory: 13431 grad_norm: 3.6102 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3421 loss: 2.3421 2022/08/16 00:21:59 - mmengine - INFO - Epoch(train) [153][1200/3757] lr: 3.5486e-02 eta: 1 day, 19:25:50 time: 0.4093 data_time: 0.0156 memory: 13431 grad_norm: 3.2912 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2622 loss: 2.2622 2022/08/16 00:22:39 - mmengine - INFO - Epoch(train) [153][1300/3757] lr: 3.5486e-02 eta: 1 day, 19:25:10 time: 0.4050 data_time: 0.0173 memory: 13431 grad_norm: 3.4471 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4943 loss: 2.4943 2022/08/16 00:23:20 - mmengine - INFO - Epoch(train) [153][1400/3757] lr: 3.5486e-02 eta: 1 day, 19:24:30 time: 0.4021 data_time: 0.0154 memory: 13431 grad_norm: 3.3571 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3726 loss: 2.3726 2022/08/16 00:24:01 - mmengine - INFO - Epoch(train) [153][1500/3757] lr: 3.5486e-02 eta: 1 day, 19:23:50 time: 0.4054 data_time: 0.0163 memory: 13431 grad_norm: 3.4568 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2481 loss: 2.2481 2022/08/16 00:24:42 - mmengine - INFO - Epoch(train) [153][1600/3757] lr: 3.5486e-02 eta: 1 day, 19:23:10 time: 0.4049 data_time: 0.0154 memory: 13431 grad_norm: 3.3200 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5022 loss: 2.5022 2022/08/16 00:25:22 - mmengine - INFO - Epoch(train) [153][1700/3757] lr: 3.5486e-02 eta: 1 day, 19:22:30 time: 0.4029 data_time: 0.0150 memory: 13431 grad_norm: 3.4697 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4796 loss: 2.4796 2022/08/16 00:26:03 - mmengine - INFO - Epoch(train) [153][1800/3757] lr: 3.5486e-02 eta: 1 day, 19:21:51 time: 0.4034 data_time: 0.0154 memory: 13431 grad_norm: 3.2894 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4594 loss: 2.4594 2022/08/16 00:26:44 - mmengine - INFO - Epoch(train) [153][1900/3757] lr: 3.5486e-02 eta: 1 day, 19:21:11 time: 0.4054 data_time: 0.0155 memory: 13431 grad_norm: 3.2830 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1289 loss: 2.1289 2022/08/16 00:26:58 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 00:27:24 - mmengine - INFO - Epoch(train) [153][2000/3757] lr: 3.5486e-02 eta: 1 day, 19:20:31 time: 0.4050 data_time: 0.0151 memory: 13431 grad_norm: 3.3452 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4250 loss: 2.4250 2022/08/16 00:28:05 - mmengine - INFO - Epoch(train) [153][2100/3757] lr: 3.5486e-02 eta: 1 day, 19:19:51 time: 0.4056 data_time: 0.0148 memory: 13431 grad_norm: 3.3536 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3126 loss: 2.3126 2022/08/16 00:28:46 - mmengine - INFO - Epoch(train) [153][2200/3757] lr: 3.5486e-02 eta: 1 day, 19:19:11 time: 0.4055 data_time: 0.0151 memory: 13431 grad_norm: 3.4617 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2314 loss: 2.2314 2022/08/16 00:29:26 - mmengine - INFO - Epoch(train) [153][2300/3757] lr: 3.5486e-02 eta: 1 day, 19:18:31 time: 0.4035 data_time: 0.0142 memory: 13431 grad_norm: 3.4877 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4074 loss: 2.4074 2022/08/16 00:30:07 - mmengine - INFO - Epoch(train) [153][2400/3757] lr: 3.5486e-02 eta: 1 day, 19:17:51 time: 0.4050 data_time: 0.0156 memory: 13431 grad_norm: 3.3607 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6826 loss: 2.6826 2022/08/16 00:30:48 - mmengine - INFO - Epoch(train) [153][2500/3757] lr: 3.5486e-02 eta: 1 day, 19:17:12 time: 0.4039 data_time: 0.0163 memory: 13431 grad_norm: 3.3698 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1957 loss: 2.1957 2022/08/16 00:31:29 - mmengine - INFO - Epoch(train) [153][2600/3757] lr: 3.5486e-02 eta: 1 day, 19:16:32 time: 0.4086 data_time: 0.0167 memory: 13431 grad_norm: 3.3572 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1628 loss: 2.1628 2022/08/16 00:32:09 - mmengine - INFO - Epoch(train) [153][2700/3757] lr: 3.5486e-02 eta: 1 day, 19:15:52 time: 0.4024 data_time: 0.0149 memory: 13431 grad_norm: 3.4089 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5662 loss: 2.5662 2022/08/16 00:32:50 - mmengine - INFO - Epoch(train) [153][2800/3757] lr: 3.5486e-02 eta: 1 day, 19:15:12 time: 0.4021 data_time: 0.0144 memory: 13431 grad_norm: 3.3185 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4701 loss: 2.4701 2022/08/16 00:33:31 - mmengine - INFO - Epoch(train) [153][2900/3757] lr: 3.5486e-02 eta: 1 day, 19:14:32 time: 0.4031 data_time: 0.0144 memory: 13431 grad_norm: 3.3485 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3438 loss: 2.3438 2022/08/16 00:33:46 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 00:34:12 - mmengine - INFO - Epoch(train) [153][3000/3757] lr: 3.5486e-02 eta: 1 day, 19:13:53 time: 0.4040 data_time: 0.0155 memory: 13431 grad_norm: 3.2459 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0408 loss: 2.0408 2022/08/16 00:34:52 - mmengine - INFO - Epoch(train) [153][3100/3757] lr: 3.5486e-02 eta: 1 day, 19:13:13 time: 0.4040 data_time: 0.0152 memory: 13431 grad_norm: 3.3059 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4958 loss: 2.4958 2022/08/16 00:35:33 - mmengine - INFO - Epoch(train) [153][3200/3757] lr: 3.5486e-02 eta: 1 day, 19:12:33 time: 0.4028 data_time: 0.0148 memory: 13431 grad_norm: 3.3942 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6155 loss: 2.6155 2022/08/16 00:36:14 - mmengine - INFO - Epoch(train) [153][3300/3757] lr: 3.5486e-02 eta: 1 day, 19:11:53 time: 0.4047 data_time: 0.0144 memory: 13431 grad_norm: 3.4497 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5926 loss: 2.5926 2022/08/16 00:36:55 - mmengine - INFO - Epoch(train) [153][3400/3757] lr: 3.5486e-02 eta: 1 day, 19:11:13 time: 0.4084 data_time: 0.0157 memory: 13431 grad_norm: 3.4291 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3028 loss: 2.3028 2022/08/16 00:37:36 - mmengine - INFO - Epoch(train) [153][3500/3757] lr: 3.5486e-02 eta: 1 day, 19:10:34 time: 0.4040 data_time: 0.0156 memory: 13431 grad_norm: 3.3994 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5053 loss: 2.5053 2022/08/16 00:38:16 - mmengine - INFO - Epoch(train) [153][3600/3757] lr: 3.5486e-02 eta: 1 day, 19:09:54 time: 0.4069 data_time: 0.0162 memory: 13431 grad_norm: 3.3906 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2597 loss: 2.2597 2022/08/16 00:38:57 - mmengine - INFO - Epoch(train) [153][3700/3757] lr: 3.5486e-02 eta: 1 day, 19:09:14 time: 0.4029 data_time: 0.0153 memory: 13431 grad_norm: 3.4182 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2832 loss: 2.2832 2022/08/16 00:39:20 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 00:39:20 - mmengine - INFO - Epoch(train) [153][3757/3757] lr: 3.5486e-02 eta: 1 day, 19:08:58 time: 0.3904 data_time: 0.0135 memory: 13431 grad_norm: 3.3660 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 2.2849 loss: 2.2849 2022/08/16 00:40:03 - mmengine - INFO - Epoch(train) [154][100/3757] lr: 3.4900e-02 eta: 1 day, 19:08:08 time: 0.4058 data_time: 0.0146 memory: 13431 grad_norm: 3.3054 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5344 loss: 2.5344 2022/08/16 00:40:35 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 00:40:44 - mmengine - INFO - Epoch(train) [154][200/3757] lr: 3.4900e-02 eta: 1 day, 19:07:28 time: 0.4039 data_time: 0.0157 memory: 13431 grad_norm: 3.4088 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4129 loss: 2.4129 2022/08/16 00:41:25 - mmengine - INFO - Epoch(train) [154][300/3757] lr: 3.4900e-02 eta: 1 day, 19:06:48 time: 0.4042 data_time: 0.0158 memory: 13431 grad_norm: 3.4800 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0262 loss: 2.0262 2022/08/16 00:42:05 - mmengine - INFO - Epoch(train) [154][400/3757] lr: 3.4900e-02 eta: 1 day, 19:06:09 time: 0.4055 data_time: 0.0149 memory: 13431 grad_norm: 3.5299 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4797 loss: 2.4797 2022/08/16 00:42:46 - mmengine - INFO - Epoch(train) [154][500/3757] lr: 3.4900e-02 eta: 1 day, 19:05:29 time: 0.4042 data_time: 0.0185 memory: 13431 grad_norm: 3.4314 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2975 loss: 2.2975 2022/08/16 00:43:27 - mmengine - INFO - Epoch(train) [154][600/3757] lr: 3.4900e-02 eta: 1 day, 19:04:49 time: 0.4076 data_time: 0.0150 memory: 13431 grad_norm: 3.4023 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3084 loss: 2.3084 2022/08/16 00:44:08 - mmengine - INFO - Epoch(train) [154][700/3757] lr: 3.4900e-02 eta: 1 day, 19:04:09 time: 0.4041 data_time: 0.0165 memory: 13431 grad_norm: 3.5072 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5688 loss: 2.5688 2022/08/16 00:44:48 - mmengine - INFO - Epoch(train) [154][800/3757] lr: 3.4900e-02 eta: 1 day, 19:03:29 time: 0.4059 data_time: 0.0152 memory: 13431 grad_norm: 3.4740 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3413 loss: 2.3413 2022/08/16 00:45:29 - mmengine - INFO - Epoch(train) [154][900/3757] lr: 3.4900e-02 eta: 1 day, 19:02:50 time: 0.4064 data_time: 0.0147 memory: 13431 grad_norm: 3.5024 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2888 loss: 2.2888 2022/08/16 00:46:10 - mmengine - INFO - Epoch(train) [154][1000/3757] lr: 3.4900e-02 eta: 1 day, 19:02:10 time: 0.4048 data_time: 0.0157 memory: 13431 grad_norm: 3.4446 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6006 loss: 2.6006 2022/08/16 00:46:51 - mmengine - INFO - Epoch(train) [154][1100/3757] lr: 3.4900e-02 eta: 1 day, 19:01:30 time: 0.4029 data_time: 0.0162 memory: 13431 grad_norm: 3.4343 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5081 loss: 2.5081 2022/08/16 00:47:23 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 00:47:32 - mmengine - INFO - Epoch(train) [154][1200/3757] lr: 3.4900e-02 eta: 1 day, 19:00:50 time: 0.4155 data_time: 0.0152 memory: 13431 grad_norm: 3.3783 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1040 loss: 2.1040 2022/08/16 00:48:12 - mmengine - INFO - Epoch(train) [154][1300/3757] lr: 3.4900e-02 eta: 1 day, 19:00:10 time: 0.4026 data_time: 0.0156 memory: 13431 grad_norm: 3.3397 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4169 loss: 2.4169 2022/08/16 00:48:53 - mmengine - INFO - Epoch(train) [154][1400/3757] lr: 3.4900e-02 eta: 1 day, 18:59:30 time: 0.4044 data_time: 0.0160 memory: 13431 grad_norm: 3.4082 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2262 loss: 2.2262 2022/08/16 00:49:34 - mmengine - INFO - Epoch(train) [154][1500/3757] lr: 3.4900e-02 eta: 1 day, 18:58:50 time: 0.4037 data_time: 0.0154 memory: 13431 grad_norm: 3.4550 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3352 loss: 2.3352 2022/08/16 00:50:14 - mmengine - INFO - Epoch(train) [154][1600/3757] lr: 3.4900e-02 eta: 1 day, 18:58:11 time: 0.4026 data_time: 0.0150 memory: 13431 grad_norm: 3.4674 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1412 loss: 2.1412 2022/08/16 00:50:55 - mmengine - INFO - Epoch(train) [154][1700/3757] lr: 3.4900e-02 eta: 1 day, 18:57:31 time: 0.4041 data_time: 0.0156 memory: 13431 grad_norm: 3.4463 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6961 loss: 2.6961 2022/08/16 00:51:36 - mmengine - INFO - Epoch(train) [154][1800/3757] lr: 3.4900e-02 eta: 1 day, 18:56:51 time: 0.4080 data_time: 0.0149 memory: 13431 grad_norm: 3.4938 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4239 loss: 2.4239 2022/08/16 00:52:17 - mmengine - INFO - Epoch(train) [154][1900/3757] lr: 3.4900e-02 eta: 1 day, 18:56:11 time: 0.4096 data_time: 0.0152 memory: 13431 grad_norm: 3.3088 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3086 loss: 2.3086 2022/08/16 00:52:58 - mmengine - INFO - Epoch(train) [154][2000/3757] lr: 3.4900e-02 eta: 1 day, 18:55:31 time: 0.4086 data_time: 0.0192 memory: 13431 grad_norm: 3.3102 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4734 loss: 2.4734 2022/08/16 00:53:38 - mmengine - INFO - Epoch(train) [154][2100/3757] lr: 3.4900e-02 eta: 1 day, 18:54:52 time: 0.4033 data_time: 0.0149 memory: 13431 grad_norm: 3.3223 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4842 loss: 2.4842 2022/08/16 00:54:10 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 00:54:19 - mmengine - INFO - Epoch(train) [154][2200/3757] lr: 3.4900e-02 eta: 1 day, 18:54:12 time: 0.4045 data_time: 0.0156 memory: 13431 grad_norm: 3.3864 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3172 loss: 2.3172 2022/08/16 00:55:00 - mmengine - INFO - Epoch(train) [154][2300/3757] lr: 3.4900e-02 eta: 1 day, 18:53:32 time: 0.4044 data_time: 0.0146 memory: 13431 grad_norm: 3.3831 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0795 loss: 2.0795 2022/08/16 00:55:41 - mmengine - INFO - Epoch(train) [154][2400/3757] lr: 3.4900e-02 eta: 1 day, 18:52:52 time: 0.4029 data_time: 0.0147 memory: 13431 grad_norm: 3.3495 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2909 loss: 2.2909 2022/08/16 00:56:21 - mmengine - INFO - Epoch(train) [154][2500/3757] lr: 3.4900e-02 eta: 1 day, 18:52:12 time: 0.4041 data_time: 0.0152 memory: 13431 grad_norm: 3.3943 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0955 loss: 2.0955 2022/08/16 00:57:02 - mmengine - INFO - Epoch(train) [154][2600/3757] lr: 3.4900e-02 eta: 1 day, 18:51:32 time: 0.4083 data_time: 0.0148 memory: 13431 grad_norm: 3.3825 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1960 loss: 2.1960 2022/08/16 00:57:43 - mmengine - INFO - Epoch(train) [154][2700/3757] lr: 3.4900e-02 eta: 1 day, 18:50:53 time: 0.4035 data_time: 0.0151 memory: 13431 grad_norm: 3.4468 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2126 loss: 2.2126 2022/08/16 00:58:24 - mmengine - INFO - Epoch(train) [154][2800/3757] lr: 3.4900e-02 eta: 1 day, 18:50:13 time: 0.4066 data_time: 0.0160 memory: 13431 grad_norm: 3.4064 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1364 loss: 2.1364 2022/08/16 00:59:05 - mmengine - INFO - Epoch(train) [154][2900/3757] lr: 3.4900e-02 eta: 1 day, 18:49:33 time: 0.4094 data_time: 0.0151 memory: 13431 grad_norm: 3.3298 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.4269 loss: 2.4269 2022/08/16 00:59:45 - mmengine - INFO - Epoch(train) [154][3000/3757] lr: 3.4900e-02 eta: 1 day, 18:48:53 time: 0.4138 data_time: 0.0151 memory: 13431 grad_norm: 3.4362 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1532 loss: 2.1532 2022/08/16 01:00:26 - mmengine - INFO - Epoch(train) [154][3100/3757] lr: 3.4900e-02 eta: 1 day, 18:48:14 time: 0.4115 data_time: 0.0150 memory: 13431 grad_norm: 3.3865 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4727 loss: 2.4727 2022/08/16 01:00:58 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 01:01:07 - mmengine - INFO - Epoch(train) [154][3200/3757] lr: 3.4900e-02 eta: 1 day, 18:47:34 time: 0.4043 data_time: 0.0154 memory: 13431 grad_norm: 3.4480 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6439 loss: 2.6439 2022/08/16 01:01:48 - mmengine - INFO - Epoch(train) [154][3300/3757] lr: 3.4900e-02 eta: 1 day, 18:46:54 time: 0.4019 data_time: 0.0151 memory: 13431 grad_norm: 3.3434 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4107 loss: 2.4107 2022/08/16 01:02:28 - mmengine - INFO - Epoch(train) [154][3400/3757] lr: 3.4900e-02 eta: 1 day, 18:46:14 time: 0.4027 data_time: 0.0151 memory: 13431 grad_norm: 3.4191 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3321 loss: 2.3321 2022/08/16 01:03:09 - mmengine - INFO - Epoch(train) [154][3500/3757] lr: 3.4900e-02 eta: 1 day, 18:45:34 time: 0.4066 data_time: 0.0156 memory: 13431 grad_norm: 3.2782 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5835 loss: 2.5835 2022/08/16 01:03:50 - mmengine - INFO - Epoch(train) [154][3600/3757] lr: 3.4900e-02 eta: 1 day, 18:44:54 time: 0.4111 data_time: 0.0166 memory: 13431 grad_norm: 3.3647 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4742 loss: 2.4742 2022/08/16 01:04:31 - mmengine - INFO - Epoch(train) [154][3700/3757] lr: 3.4900e-02 eta: 1 day, 18:44:14 time: 0.4101 data_time: 0.0149 memory: 13431 grad_norm: 3.4583 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4125 loss: 2.4125 2022/08/16 01:04:54 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 01:04:54 - mmengine - INFO - Epoch(train) [154][3757/3757] lr: 3.4900e-02 eta: 1 day, 18:43:59 time: 0.4018 data_time: 0.0143 memory: 13431 grad_norm: 3.4286 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 2.6265 loss: 2.6265 2022/08/16 01:05:37 - mmengine - INFO - Epoch(train) [155][100/3757] lr: 3.4316e-02 eta: 1 day, 18:43:09 time: 0.4055 data_time: 0.0152 memory: 13431 grad_norm: 3.3808 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2444 loss: 2.2444 2022/08/16 01:06:18 - mmengine - INFO - Epoch(train) [155][200/3757] lr: 3.4316e-02 eta: 1 day, 18:42:29 time: 0.4044 data_time: 0.0156 memory: 13431 grad_norm: 3.3403 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3385 loss: 2.3385 2022/08/16 01:06:59 - mmengine - INFO - Epoch(train) [155][300/3757] lr: 3.4316e-02 eta: 1 day, 18:41:49 time: 0.4049 data_time: 0.0161 memory: 13431 grad_norm: 3.3911 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4146 loss: 2.4146 2022/08/16 01:07:39 - mmengine - INFO - Epoch(train) [155][400/3757] lr: 3.4316e-02 eta: 1 day, 18:41:09 time: 0.4094 data_time: 0.0152 memory: 13431 grad_norm: 3.4647 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3250 loss: 2.3250 2022/08/16 01:07:48 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 01:08:20 - mmengine - INFO - Epoch(train) [155][500/3757] lr: 3.4316e-02 eta: 1 day, 18:40:29 time: 0.4068 data_time: 0.0152 memory: 13431 grad_norm: 3.4002 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6856 loss: 2.6856 2022/08/16 01:09:01 - mmengine - INFO - Epoch(train) [155][600/3757] lr: 3.4316e-02 eta: 1 day, 18:39:50 time: 0.4051 data_time: 0.0153 memory: 13431 grad_norm: 3.4946 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4619 loss: 2.4619 2022/08/16 01:09:42 - mmengine - INFO - Epoch(train) [155][700/3757] lr: 3.4316e-02 eta: 1 day, 18:39:10 time: 0.4084 data_time: 0.0159 memory: 13431 grad_norm: 3.3919 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2853 loss: 2.2853 2022/08/16 01:10:22 - mmengine - INFO - Epoch(train) [155][800/3757] lr: 3.4316e-02 eta: 1 day, 18:38:30 time: 0.4040 data_time: 0.0159 memory: 13431 grad_norm: 3.4704 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.5502 loss: 2.5502 2022/08/16 01:11:03 - mmengine - INFO - Epoch(train) [155][900/3757] lr: 3.4316e-02 eta: 1 day, 18:37:50 time: 0.4032 data_time: 0.0148 memory: 13431 grad_norm: 3.5033 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1660 loss: 2.1660 2022/08/16 01:11:44 - mmengine - INFO - Epoch(train) [155][1000/3757] lr: 3.4316e-02 eta: 1 day, 18:37:10 time: 0.4059 data_time: 0.0142 memory: 13431 grad_norm: 3.5028 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3018 loss: 2.3018 2022/08/16 01:12:25 - mmengine - INFO - Epoch(train) [155][1100/3757] lr: 3.4316e-02 eta: 1 day, 18:36:31 time: 0.4051 data_time: 0.0164 memory: 13431 grad_norm: 3.3884 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5613 loss: 2.5613 2022/08/16 01:13:05 - mmengine - INFO - Epoch(train) [155][1200/3757] lr: 3.4316e-02 eta: 1 day, 18:35:51 time: 0.4048 data_time: 0.0158 memory: 13431 grad_norm: 3.5040 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5786 loss: 2.5786 2022/08/16 01:13:46 - mmengine - INFO - Epoch(train) [155][1300/3757] lr: 3.4316e-02 eta: 1 day, 18:35:11 time: 0.4041 data_time: 0.0152 memory: 13431 grad_norm: 3.3217 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2430 loss: 2.2430 2022/08/16 01:14:27 - mmengine - INFO - Epoch(train) [155][1400/3757] lr: 3.4316e-02 eta: 1 day, 18:34:31 time: 0.4068 data_time: 0.0158 memory: 13431 grad_norm: 3.4373 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6888 loss: 2.6888 2022/08/16 01:14:36 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 01:15:08 - mmengine - INFO - Epoch(train) [155][1500/3757] lr: 3.4316e-02 eta: 1 day, 18:33:51 time: 0.4115 data_time: 0.0149 memory: 13431 grad_norm: 3.4220 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2305 loss: 2.2305 2022/08/16 01:15:48 - mmengine - INFO - Epoch(train) [155][1600/3757] lr: 3.4316e-02 eta: 1 day, 18:33:11 time: 0.4065 data_time: 0.0148 memory: 13431 grad_norm: 3.3988 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3133 loss: 2.3133 2022/08/16 01:16:29 - mmengine - INFO - Epoch(train) [155][1700/3757] lr: 3.4316e-02 eta: 1 day, 18:32:31 time: 0.4021 data_time: 0.0144 memory: 13431 grad_norm: 3.3194 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3301 loss: 2.3301 2022/08/16 01:17:10 - mmengine - INFO - Epoch(train) [155][1800/3757] lr: 3.4316e-02 eta: 1 day, 18:31:52 time: 0.4041 data_time: 0.0174 memory: 13431 grad_norm: 3.3913 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2031 loss: 2.2031 2022/08/16 01:18:04 - mmengine - INFO - Epoch(train) [155][1900/3757] lr: 3.4316e-02 eta: 1 day, 18:31:20 time: 1.0496 data_time: 0.0302 memory: 13431 grad_norm: 3.4189 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5637 loss: 2.5637 2022/08/16 01:18:49 - mmengine - INFO - Epoch(train) [155][2000/3757] lr: 3.4316e-02 eta: 1 day, 18:30:44 time: 0.4023 data_time: 0.0143 memory: 13431 grad_norm: 3.3801 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2059 loss: 2.2059 2022/08/16 01:19:30 - mmengine - INFO - Epoch(train) [155][2100/3757] lr: 3.4316e-02 eta: 1 day, 18:30:04 time: 0.4093 data_time: 0.0164 memory: 13431 grad_norm: 3.3378 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1502 loss: 2.1502 2022/08/16 01:20:11 - mmengine - INFO - Epoch(train) [155][2200/3757] lr: 3.4316e-02 eta: 1 day, 18:29:24 time: 0.4052 data_time: 0.0155 memory: 13431 grad_norm: 3.4498 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2768 loss: 2.2768 2022/08/16 01:20:53 - mmengine - INFO - Epoch(train) [155][2300/3757] lr: 3.4316e-02 eta: 1 day, 18:28:45 time: 0.4035 data_time: 0.0151 memory: 13431 grad_norm: 3.3732 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4075 loss: 2.4075 2022/08/16 01:21:33 - mmengine - INFO - Epoch(train) [155][2400/3757] lr: 3.4316e-02 eta: 1 day, 18:28:05 time: 0.4074 data_time: 0.0167 memory: 13431 grad_norm: 3.3591 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2558 loss: 2.2558 2022/08/16 01:21:42 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 01:22:14 - mmengine - INFO - Epoch(train) [155][2500/3757] lr: 3.4316e-02 eta: 1 day, 18:27:25 time: 0.4036 data_time: 0.0157 memory: 13431 grad_norm: 3.4339 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3937 loss: 2.3937 2022/08/16 01:22:55 - mmengine - INFO - Epoch(train) [155][2600/3757] lr: 3.4316e-02 eta: 1 day, 18:26:45 time: 0.4032 data_time: 0.0155 memory: 13431 grad_norm: 3.3995 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5353 loss: 2.5353 2022/08/16 01:23:35 - mmengine - INFO - Epoch(train) [155][2700/3757] lr: 3.4316e-02 eta: 1 day, 18:26:05 time: 0.4030 data_time: 0.0164 memory: 13431 grad_norm: 3.4758 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3602 loss: 2.3602 2022/08/16 01:24:16 - mmengine - INFO - Epoch(train) [155][2800/3757] lr: 3.4316e-02 eta: 1 day, 18:25:26 time: 0.4111 data_time: 0.0151 memory: 13431 grad_norm: 3.4691 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2370 loss: 2.2370 2022/08/16 01:24:57 - mmengine - INFO - Epoch(train) [155][2900/3757] lr: 3.4316e-02 eta: 1 day, 18:24:46 time: 0.4035 data_time: 0.0147 memory: 13431 grad_norm: 3.6016 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2781 loss: 2.2781 2022/08/16 01:25:38 - mmengine - INFO - Epoch(train) [155][3000/3757] lr: 3.4316e-02 eta: 1 day, 18:24:06 time: 0.4048 data_time: 0.0148 memory: 13431 grad_norm: 3.4608 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5873 loss: 2.5873 2022/08/16 01:26:19 - mmengine - INFO - Epoch(train) [155][3100/3757] lr: 3.4316e-02 eta: 1 day, 18:23:26 time: 0.4051 data_time: 0.0159 memory: 13431 grad_norm: 3.4599 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5473 loss: 2.5473 2022/08/16 01:26:59 - mmengine - INFO - Epoch(train) [155][3200/3757] lr: 3.4316e-02 eta: 1 day, 18:22:46 time: 0.4042 data_time: 0.0153 memory: 13431 grad_norm: 3.6107 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5267 loss: 2.5267 2022/08/16 01:27:40 - mmengine - INFO - Epoch(train) [155][3300/3757] lr: 3.4316e-02 eta: 1 day, 18:22:06 time: 0.4047 data_time: 0.0155 memory: 13431 grad_norm: 3.6469 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5084 loss: 2.5084 2022/08/16 01:28:21 - mmengine - INFO - Epoch(train) [155][3400/3757] lr: 3.4316e-02 eta: 1 day, 18:21:27 time: 0.4033 data_time: 0.0151 memory: 13431 grad_norm: 3.3921 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5792 loss: 2.5792 2022/08/16 01:28:30 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 01:29:02 - mmengine - INFO - Epoch(train) [155][3500/3757] lr: 3.4316e-02 eta: 1 day, 18:20:47 time: 0.4072 data_time: 0.0151 memory: 13431 grad_norm: 3.3198 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3818 loss: 2.3818 2022/08/16 01:29:43 - mmengine - INFO - Epoch(train) [155][3600/3757] lr: 3.4316e-02 eta: 1 day, 18:20:07 time: 0.4020 data_time: 0.0150 memory: 13431 grad_norm: 3.4712 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3062 loss: 2.3062 2022/08/16 01:30:23 - mmengine - INFO - Epoch(train) [155][3700/3757] lr: 3.4316e-02 eta: 1 day, 18:19:27 time: 0.4107 data_time: 0.0155 memory: 13431 grad_norm: 3.3378 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2924 loss: 2.2924 2022/08/16 01:30:47 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 01:30:47 - mmengine - INFO - Epoch(train) [155][3757/3757] lr: 3.4316e-02 eta: 1 day, 18:19:11 time: 0.3970 data_time: 0.0139 memory: 13431 grad_norm: 3.3499 top1_acc: 0.2857 top5_acc: 1.0000 loss_cls: 2.3467 loss: 2.3467 2022/08/16 01:31:09 - mmengine - INFO - Epoch(val) [155][100/310] eta: 0:00:44 time: 0.2115 data_time: 0.0809 memory: 1974 2022/08/16 01:31:30 - mmengine - INFO - Epoch(val) [155][200/310] eta: 0:00:20 time: 0.1889 data_time: 0.0585 memory: 1974 2022/08/16 01:31:51 - mmengine - INFO - Epoch(val) [155][300/310] eta: 0:00:02 time: 0.2148 data_time: 0.0891 memory: 1974 2022/08/16 01:31:55 - mmengine - INFO - Epoch(val) [155][310/310] acc/top1: 0.5180 acc/top5: 0.7741 acc/mean1: 0.5178 2022/08/16 01:31:55 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_151.pth is removed 2022/08/16 01:31:59 - mmengine - INFO - The best checkpoint with 0.5180 acc/top1 at 156 epoch is saved to best_acc/top1_epoch_156.pth. 2022/08/16 01:32:41 - mmengine - INFO - Epoch(train) [156][100/3757] lr: 3.3734e-02 eta: 1 day, 18:18:21 time: 0.4045 data_time: 0.0149 memory: 13431 grad_norm: 3.5115 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.2789 loss: 2.2789 2022/08/16 01:33:22 - mmengine - INFO - Epoch(train) [156][200/3757] lr: 3.3734e-02 eta: 1 day, 18:17:41 time: 0.4019 data_time: 0.0160 memory: 13431 grad_norm: 3.5776 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3424 loss: 2.3424 2022/08/16 01:34:03 - mmengine - INFO - Epoch(train) [156][300/3757] lr: 3.3734e-02 eta: 1 day, 18:17:01 time: 0.4113 data_time: 0.0147 memory: 13431 grad_norm: 3.4073 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1647 loss: 2.1647 2022/08/16 01:34:44 - mmengine - INFO - Epoch(train) [156][400/3757] lr: 3.3734e-02 eta: 1 day, 18:16:21 time: 0.4100 data_time: 0.0143 memory: 13431 grad_norm: 3.4293 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4692 loss: 2.4692 2022/08/16 01:35:24 - mmengine - INFO - Epoch(train) [156][500/3757] lr: 3.3734e-02 eta: 1 day, 18:15:42 time: 0.4061 data_time: 0.0148 memory: 13431 grad_norm: 3.3201 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2247 loss: 2.2247 2022/08/16 01:36:05 - mmengine - INFO - Epoch(train) [156][600/3757] lr: 3.3734e-02 eta: 1 day, 18:15:02 time: 0.4035 data_time: 0.0148 memory: 13431 grad_norm: 3.5909 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4851 loss: 2.4851 2022/08/16 01:36:32 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 01:36:46 - mmengine - INFO - Epoch(train) [156][700/3757] lr: 3.3734e-02 eta: 1 day, 18:14:22 time: 0.4040 data_time: 0.0149 memory: 13431 grad_norm: 3.4718 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.4823 loss: 2.4823 2022/08/16 01:37:27 - mmengine - INFO - Epoch(train) [156][800/3757] lr: 3.3734e-02 eta: 1 day, 18:13:42 time: 0.4041 data_time: 0.0144 memory: 13431 grad_norm: 3.3992 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1268 loss: 2.1268 2022/08/16 01:38:07 - mmengine - INFO - Epoch(train) [156][900/3757] lr: 3.3734e-02 eta: 1 day, 18:13:02 time: 0.4015 data_time: 0.0149 memory: 13431 grad_norm: 3.5158 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6090 loss: 2.6090 2022/08/16 01:38:48 - mmengine - INFO - Epoch(train) [156][1000/3757] lr: 3.3734e-02 eta: 1 day, 18:12:22 time: 0.4159 data_time: 0.0150 memory: 13431 grad_norm: 3.4005 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3568 loss: 2.3568 2022/08/16 01:39:29 - mmengine - INFO - Epoch(train) [156][1100/3757] lr: 3.3734e-02 eta: 1 day, 18:11:43 time: 0.4071 data_time: 0.0155 memory: 13431 grad_norm: 3.4523 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3087 loss: 2.3087 2022/08/16 01:40:10 - mmengine - INFO - Epoch(train) [156][1200/3757] lr: 3.3734e-02 eta: 1 day, 18:11:03 time: 0.4039 data_time: 0.0143 memory: 13431 grad_norm: 3.5140 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.2868 loss: 2.2868 2022/08/16 01:40:51 - mmengine - INFO - Epoch(train) [156][1300/3757] lr: 3.3734e-02 eta: 1 day, 18:10:23 time: 0.4053 data_time: 0.0167 memory: 13431 grad_norm: 3.3760 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2230 loss: 2.2230 2022/08/16 01:41:32 - mmengine - INFO - Epoch(train) [156][1400/3757] lr: 3.3734e-02 eta: 1 day, 18:09:43 time: 0.4041 data_time: 0.0154 memory: 13431 grad_norm: 3.4303 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3337 loss: 2.3337 2022/08/16 01:42:12 - mmengine - INFO - Epoch(train) [156][1500/3757] lr: 3.3734e-02 eta: 1 day, 18:09:03 time: 0.4025 data_time: 0.0149 memory: 13431 grad_norm: 3.5168 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5261 loss: 2.5261 2022/08/16 01:42:53 - mmengine - INFO - Epoch(train) [156][1600/3757] lr: 3.3734e-02 eta: 1 day, 18:08:23 time: 0.4051 data_time: 0.0157 memory: 13431 grad_norm: 3.5193 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5981 loss: 2.5981 2022/08/16 01:43:20 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 01:43:34 - mmengine - INFO - Epoch(train) [156][1700/3757] lr: 3.3734e-02 eta: 1 day, 18:07:44 time: 0.4102 data_time: 0.0157 memory: 13431 grad_norm: 3.4957 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3012 loss: 2.3012 2022/08/16 01:44:15 - mmengine - INFO - Epoch(train) [156][1800/3757] lr: 3.3734e-02 eta: 1 day, 18:07:04 time: 0.4113 data_time: 0.0165 memory: 13431 grad_norm: 3.4073 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3861 loss: 2.3861 2022/08/16 01:44:56 - mmengine - INFO - Epoch(train) [156][1900/3757] lr: 3.3734e-02 eta: 1 day, 18:06:24 time: 0.4051 data_time: 0.0148 memory: 13431 grad_norm: 3.3640 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4252 loss: 2.4252 2022/08/16 01:45:36 - mmengine - INFO - Epoch(train) [156][2000/3757] lr: 3.3734e-02 eta: 1 day, 18:05:44 time: 0.4031 data_time: 0.0142 memory: 13431 grad_norm: 3.4328 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.4078 loss: 2.4078 2022/08/16 01:46:17 - mmengine - INFO - Epoch(train) [156][2100/3757] lr: 3.3734e-02 eta: 1 day, 18:05:04 time: 0.4027 data_time: 0.0147 memory: 13431 grad_norm: 3.3687 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4935 loss: 2.4935 2022/08/16 01:46:58 - mmengine - INFO - Epoch(train) [156][2200/3757] lr: 3.3734e-02 eta: 1 day, 18:04:25 time: 0.4028 data_time: 0.0151 memory: 13431 grad_norm: 3.4512 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2022 loss: 2.2022 2022/08/16 01:47:39 - mmengine - INFO - Epoch(train) [156][2300/3757] lr: 3.3734e-02 eta: 1 day, 18:03:45 time: 0.4031 data_time: 0.0142 memory: 13431 grad_norm: 3.4344 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3611 loss: 2.3611 2022/08/16 01:48:20 - mmengine - INFO - Epoch(train) [156][2400/3757] lr: 3.3734e-02 eta: 1 day, 18:03:05 time: 0.4057 data_time: 0.0162 memory: 13431 grad_norm: 3.5368 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3664 loss: 2.3664 2022/08/16 01:49:01 - mmengine - INFO - Epoch(train) [156][2500/3757] lr: 3.3734e-02 eta: 1 day, 18:02:25 time: 0.4088 data_time: 0.0148 memory: 13431 grad_norm: 3.3607 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4225 loss: 2.4225 2022/08/16 01:49:42 - mmengine - INFO - Epoch(train) [156][2600/3757] lr: 3.3734e-02 eta: 1 day, 18:01:45 time: 0.4049 data_time: 0.0171 memory: 13431 grad_norm: 3.4493 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2591 loss: 2.2591 2022/08/16 01:50:08 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 01:50:22 - mmengine - INFO - Epoch(train) [156][2700/3757] lr: 3.3734e-02 eta: 1 day, 18:01:06 time: 0.4119 data_time: 0.0149 memory: 13431 grad_norm: 3.5095 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3648 loss: 2.3648 2022/08/16 01:51:03 - mmengine - INFO - Epoch(train) [156][2800/3757] lr: 3.3734e-02 eta: 1 day, 18:00:26 time: 0.4056 data_time: 0.0160 memory: 13431 grad_norm: 3.3701 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3768 loss: 2.3768 2022/08/16 01:51:44 - mmengine - INFO - Epoch(train) [156][2900/3757] lr: 3.3734e-02 eta: 1 day, 17:59:46 time: 0.4066 data_time: 0.0156 memory: 13431 grad_norm: 3.4782 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4783 loss: 2.4783 2022/08/16 01:52:25 - mmengine - INFO - Epoch(train) [156][3000/3757] lr: 3.3734e-02 eta: 1 day, 17:59:06 time: 0.4038 data_time: 0.0142 memory: 13431 grad_norm: 3.4401 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3811 loss: 2.3811 2022/08/16 01:53:06 - mmengine - INFO - Epoch(train) [156][3100/3757] lr: 3.3734e-02 eta: 1 day, 17:58:26 time: 0.4114 data_time: 0.0154 memory: 13431 grad_norm: 3.5105 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5952 loss: 2.5952 2022/08/16 01:53:47 - mmengine - INFO - Epoch(train) [156][3200/3757] lr: 3.3734e-02 eta: 1 day, 17:57:47 time: 0.4049 data_time: 0.0146 memory: 13431 grad_norm: 3.3852 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4221 loss: 2.4221 2022/08/16 01:54:27 - mmengine - INFO - Epoch(train) [156][3300/3757] lr: 3.3734e-02 eta: 1 day, 17:57:07 time: 0.4049 data_time: 0.0158 memory: 13431 grad_norm: 3.4115 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6142 loss: 2.6142 2022/08/16 01:55:08 - mmengine - INFO - Epoch(train) [156][3400/3757] lr: 3.3734e-02 eta: 1 day, 17:56:27 time: 0.4115 data_time: 0.0149 memory: 13431 grad_norm: 3.5571 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6253 loss: 2.6253 2022/08/16 01:55:49 - mmengine - INFO - Epoch(train) [156][3500/3757] lr: 3.3734e-02 eta: 1 day, 17:55:47 time: 0.4039 data_time: 0.0157 memory: 13431 grad_norm: 3.5681 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6482 loss: 2.6482 2022/08/16 01:56:30 - mmengine - INFO - Epoch(train) [156][3600/3757] lr: 3.3734e-02 eta: 1 day, 17:55:07 time: 0.4056 data_time: 0.0151 memory: 13431 grad_norm: 3.3491 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5937 loss: 2.5937 2022/08/16 01:56:56 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 01:57:10 - mmengine - INFO - Epoch(train) [156][3700/3757] lr: 3.3734e-02 eta: 1 day, 17:54:27 time: 0.4067 data_time: 0.0149 memory: 13431 grad_norm: 3.4421 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4138 loss: 2.4138 2022/08/16 01:57:34 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 01:57:34 - mmengine - INFO - Epoch(train) [156][3757/3757] lr: 3.3734e-02 eta: 1 day, 17:54:12 time: 0.3915 data_time: 0.0139 memory: 13431 grad_norm: 3.5330 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 2.0989 loss: 2.0989 2022/08/16 01:57:34 - mmengine - INFO - Saving checkpoint at 156 epochs 2022/08/16 01:58:22 - mmengine - INFO - Epoch(train) [157][100/3757] lr: 3.3156e-02 eta: 1 day, 17:53:21 time: 0.4023 data_time: 0.0147 memory: 13431 grad_norm: 3.4111 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9584 loss: 1.9584 2022/08/16 01:59:03 - mmengine - INFO - Epoch(train) [157][200/3757] lr: 3.3156e-02 eta: 1 day, 17:52:41 time: 0.4035 data_time: 0.0159 memory: 13431 grad_norm: 3.4722 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2570 loss: 2.2570 2022/08/16 01:59:43 - mmengine - INFO - Epoch(train) [157][300/3757] lr: 3.3156e-02 eta: 1 day, 17:52:01 time: 0.4027 data_time: 0.0149 memory: 13431 grad_norm: 3.5469 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0932 loss: 2.0932 2022/08/16 02:00:26 - mmengine - INFO - Epoch(train) [157][400/3757] lr: 3.3156e-02 eta: 1 day, 17:51:23 time: 0.4042 data_time: 0.0152 memory: 13431 grad_norm: 3.4790 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2558 loss: 2.2558 2022/08/16 02:01:07 - mmengine - INFO - Epoch(train) [157][500/3757] lr: 3.3156e-02 eta: 1 day, 17:50:43 time: 0.4089 data_time: 0.0154 memory: 13431 grad_norm: 3.5539 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2905 loss: 2.2905 2022/08/16 02:01:48 - mmengine - INFO - Epoch(train) [157][600/3757] lr: 3.3156e-02 eta: 1 day, 17:50:03 time: 0.4039 data_time: 0.0150 memory: 13431 grad_norm: 3.4874 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6826 loss: 2.6826 2022/08/16 02:02:29 - mmengine - INFO - Epoch(train) [157][700/3757] lr: 3.3156e-02 eta: 1 day, 17:49:24 time: 0.4059 data_time: 0.0147 memory: 13431 grad_norm: 3.4491 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5945 loss: 2.5945 2022/08/16 02:03:10 - mmengine - INFO - Epoch(train) [157][800/3757] lr: 3.3156e-02 eta: 1 day, 17:48:44 time: 0.4033 data_time: 0.0145 memory: 13431 grad_norm: 3.5267 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4886 loss: 2.4886 2022/08/16 02:03:51 - mmengine - INFO - Epoch(train) [157][900/3757] lr: 3.3156e-02 eta: 1 day, 17:48:04 time: 0.4056 data_time: 0.0157 memory: 13431 grad_norm: 3.5871 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5081 loss: 2.5081 2022/08/16 02:03:54 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 02:04:31 - mmengine - INFO - Epoch(train) [157][1000/3757] lr: 3.3156e-02 eta: 1 day, 17:47:24 time: 0.4095 data_time: 0.0170 memory: 13431 grad_norm: 3.4374 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1596 loss: 2.1596 2022/08/16 02:05:12 - mmengine - INFO - Epoch(train) [157][1100/3757] lr: 3.3156e-02 eta: 1 day, 17:46:44 time: 0.4047 data_time: 0.0144 memory: 13431 grad_norm: 3.4985 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.4590 loss: 2.4590 2022/08/16 02:05:53 - mmengine - INFO - Epoch(train) [157][1200/3757] lr: 3.3156e-02 eta: 1 day, 17:46:05 time: 0.4092 data_time: 0.0151 memory: 13431 grad_norm: 3.5097 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1293 loss: 2.1293 2022/08/16 02:06:34 - mmengine - INFO - Epoch(train) [157][1300/3757] lr: 3.3156e-02 eta: 1 day, 17:45:25 time: 0.4036 data_time: 0.0145 memory: 13431 grad_norm: 3.5485 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.5071 loss: 2.5071 2022/08/16 02:07:15 - mmengine - INFO - Epoch(train) [157][1400/3757] lr: 3.3156e-02 eta: 1 day, 17:44:45 time: 0.4028 data_time: 0.0158 memory: 13431 grad_norm: 3.5725 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6669 loss: 2.6669 2022/08/16 02:07:56 - mmengine - INFO - Epoch(train) [157][1500/3757] lr: 3.3156e-02 eta: 1 day, 17:44:05 time: 0.4067 data_time: 0.0149 memory: 13431 grad_norm: 3.4915 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2568 loss: 2.2568 2022/08/16 02:08:37 - mmengine - INFO - Epoch(train) [157][1600/3757] lr: 3.3156e-02 eta: 1 day, 17:43:25 time: 0.4047 data_time: 0.0142 memory: 13431 grad_norm: 3.4825 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3386 loss: 2.3386 2022/08/16 02:09:17 - mmengine - INFO - Epoch(train) [157][1700/3757] lr: 3.3156e-02 eta: 1 day, 17:42:45 time: 0.4045 data_time: 0.0145 memory: 13431 grad_norm: 3.4132 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4610 loss: 2.4610 2022/08/16 02:09:58 - mmengine - INFO - Epoch(train) [157][1800/3757] lr: 3.3156e-02 eta: 1 day, 17:42:06 time: 0.4034 data_time: 0.0147 memory: 13431 grad_norm: 3.4024 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4249 loss: 2.4249 2022/08/16 02:10:39 - mmengine - INFO - Epoch(train) [157][1900/3757] lr: 3.3156e-02 eta: 1 day, 17:41:26 time: 0.4126 data_time: 0.0154 memory: 13431 grad_norm: 3.3173 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5230 loss: 2.5230 2022/08/16 02:10:42 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 02:11:19 - mmengine - INFO - Epoch(train) [157][2000/3757] lr: 3.3156e-02 eta: 1 day, 17:40:46 time: 0.4020 data_time: 0.0146 memory: 13431 grad_norm: 3.6383 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5022 loss: 2.5022 2022/08/16 02:12:00 - mmengine - INFO - Epoch(train) [157][2100/3757] lr: 3.3156e-02 eta: 1 day, 17:40:06 time: 0.4021 data_time: 0.0147 memory: 13431 grad_norm: 3.5309 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4301 loss: 2.4301 2022/08/16 02:12:41 - mmengine - INFO - Epoch(train) [157][2200/3757] lr: 3.3156e-02 eta: 1 day, 17:39:26 time: 0.4056 data_time: 0.0156 memory: 13431 grad_norm: 3.4788 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3500 loss: 2.3500 2022/08/16 02:13:22 - mmengine - INFO - Epoch(train) [157][2300/3757] lr: 3.3156e-02 eta: 1 day, 17:38:46 time: 0.4024 data_time: 0.0146 memory: 13431 grad_norm: 3.4997 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1903 loss: 2.1903 2022/08/16 02:14:03 - mmengine - INFO - Epoch(train) [157][2400/3757] lr: 3.3156e-02 eta: 1 day, 17:38:07 time: 0.4030 data_time: 0.0152 memory: 13431 grad_norm: 3.3232 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3769 loss: 2.3769 2022/08/16 02:14:43 - mmengine - INFO - Epoch(train) [157][2500/3757] lr: 3.3156e-02 eta: 1 day, 17:37:27 time: 0.4046 data_time: 0.0158 memory: 13431 grad_norm: 3.5368 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3560 loss: 2.3560 2022/08/16 02:15:24 - mmengine - INFO - Epoch(train) [157][2600/3757] lr: 3.3156e-02 eta: 1 day, 17:36:47 time: 0.4095 data_time: 0.0142 memory: 13431 grad_norm: 3.4404 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.5163 loss: 2.5163 2022/08/16 02:16:05 - mmengine - INFO - Epoch(train) [157][2700/3757] lr: 3.3156e-02 eta: 1 day, 17:36:07 time: 0.4036 data_time: 0.0156 memory: 13431 grad_norm: 3.5274 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2120 loss: 2.2120 2022/08/16 02:16:46 - mmengine - INFO - Epoch(train) [157][2800/3757] lr: 3.3156e-02 eta: 1 day, 17:35:27 time: 0.4040 data_time: 0.0148 memory: 13431 grad_norm: 3.4956 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.2613 loss: 2.2613 2022/08/16 02:17:27 - mmengine - INFO - Epoch(train) [157][2900/3757] lr: 3.3156e-02 eta: 1 day, 17:34:47 time: 0.4108 data_time: 0.0154 memory: 13431 grad_norm: 3.4599 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3860 loss: 2.3860 2022/08/16 02:17:30 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 02:18:08 - mmengine - INFO - Epoch(train) [157][3000/3757] lr: 3.3156e-02 eta: 1 day, 17:34:08 time: 0.4052 data_time: 0.0150 memory: 13431 grad_norm: 3.4068 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3420 loss: 2.3420 2022/08/16 02:18:48 - mmengine - INFO - Epoch(train) [157][3100/3757] lr: 3.3156e-02 eta: 1 day, 17:33:28 time: 0.4057 data_time: 0.0167 memory: 13431 grad_norm: 3.4329 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3378 loss: 2.3378 2022/08/16 02:19:29 - mmengine - INFO - Epoch(train) [157][3200/3757] lr: 3.3156e-02 eta: 1 day, 17:32:48 time: 0.4070 data_time: 0.0161 memory: 13431 grad_norm: 3.4366 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5676 loss: 2.5676 2022/08/16 02:20:10 - mmengine - INFO - Epoch(train) [157][3300/3757] lr: 3.3156e-02 eta: 1 day, 17:32:08 time: 0.4058 data_time: 0.0151 memory: 13431 grad_norm: 3.4225 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4034 loss: 2.4034 2022/08/16 02:20:50 - mmengine - INFO - Epoch(train) [157][3400/3757] lr: 3.3156e-02 eta: 1 day, 17:31:28 time: 0.4042 data_time: 0.0149 memory: 13431 grad_norm: 3.5690 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2619 loss: 2.2619 2022/08/16 02:21:31 - mmengine - INFO - Epoch(train) [157][3500/3757] lr: 3.3156e-02 eta: 1 day, 17:30:48 time: 0.4069 data_time: 0.0152 memory: 13431 grad_norm: 3.5781 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2841 loss: 2.2841 2022/08/16 02:22:12 - mmengine - INFO - Epoch(train) [157][3600/3757] lr: 3.3156e-02 eta: 1 day, 17:30:08 time: 0.4077 data_time: 0.0144 memory: 13431 grad_norm: 3.3487 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1991 loss: 2.1991 2022/08/16 02:22:53 - mmengine - INFO - Epoch(train) [157][3700/3757] lr: 3.3156e-02 eta: 1 day, 17:29:29 time: 0.4038 data_time: 0.0146 memory: 13431 grad_norm: 3.4280 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4167 loss: 2.4167 2022/08/16 02:23:16 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 02:23:16 - mmengine - INFO - Epoch(train) [157][3757/3757] lr: 3.3156e-02 eta: 1 day, 17:29:13 time: 0.3916 data_time: 0.0145 memory: 13431 grad_norm: 3.5770 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 2.4885 loss: 2.4885 2022/08/16 02:23:59 - mmengine - INFO - Epoch(train) [158][100/3757] lr: 3.2579e-02 eta: 1 day, 17:28:23 time: 0.4048 data_time: 0.0147 memory: 13431 grad_norm: 3.3862 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0771 loss: 2.0771 2022/08/16 02:24:20 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 02:24:40 - mmengine - INFO - Epoch(train) [158][200/3757] lr: 3.2579e-02 eta: 1 day, 17:27:43 time: 0.4042 data_time: 0.0153 memory: 13431 grad_norm: 3.4671 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5724 loss: 2.5724 2022/08/16 02:25:21 - mmengine - INFO - Epoch(train) [158][300/3757] lr: 3.2579e-02 eta: 1 day, 17:27:03 time: 0.4030 data_time: 0.0147 memory: 13431 grad_norm: 3.4784 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.6411 loss: 2.6411 2022/08/16 02:26:02 - mmengine - INFO - Epoch(train) [158][400/3757] lr: 3.2579e-02 eta: 1 day, 17:26:24 time: 0.4050 data_time: 0.0161 memory: 13431 grad_norm: 3.5151 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5472 loss: 2.5472 2022/08/16 02:26:42 - mmengine - INFO - Epoch(train) [158][500/3757] lr: 3.2579e-02 eta: 1 day, 17:25:44 time: 0.4052 data_time: 0.0156 memory: 13431 grad_norm: 3.5305 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4847 loss: 2.4847 2022/08/16 02:27:23 - mmengine - INFO - Epoch(train) [158][600/3757] lr: 3.2579e-02 eta: 1 day, 17:25:04 time: 0.4042 data_time: 0.0162 memory: 13431 grad_norm: 3.5027 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6054 loss: 2.6054 2022/08/16 02:28:04 - mmengine - INFO - Epoch(train) [158][700/3757] lr: 3.2579e-02 eta: 1 day, 17:24:24 time: 0.4053 data_time: 0.0155 memory: 13431 grad_norm: 3.6696 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.4955 loss: 2.4955 2022/08/16 02:28:45 - mmengine - INFO - Epoch(train) [158][800/3757] lr: 3.2579e-02 eta: 1 day, 17:23:44 time: 0.4031 data_time: 0.0155 memory: 13431 grad_norm: 3.3679 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1078 loss: 2.1078 2022/08/16 02:29:25 - mmengine - INFO - Epoch(train) [158][900/3757] lr: 3.2579e-02 eta: 1 day, 17:23:04 time: 0.4022 data_time: 0.0147 memory: 13431 grad_norm: 3.5807 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3045 loss: 2.3045 2022/08/16 02:30:06 - mmengine - INFO - Epoch(train) [158][1000/3757] lr: 3.2579e-02 eta: 1 day, 17:22:24 time: 0.4043 data_time: 0.0170 memory: 13431 grad_norm: 3.5051 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4972 loss: 2.4972 2022/08/16 02:30:47 - mmengine - INFO - Epoch(train) [158][1100/3757] lr: 3.2579e-02 eta: 1 day, 17:21:44 time: 0.4031 data_time: 0.0149 memory: 13431 grad_norm: 3.4723 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5700 loss: 2.5700 2022/08/16 02:31:08 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 02:31:28 - mmengine - INFO - Epoch(train) [158][1200/3757] lr: 3.2579e-02 eta: 1 day, 17:21:05 time: 0.4104 data_time: 0.0157 memory: 13431 grad_norm: 3.4283 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3806 loss: 2.3806 2022/08/16 02:32:09 - mmengine - INFO - Epoch(train) [158][1300/3757] lr: 3.2579e-02 eta: 1 day, 17:20:25 time: 0.4047 data_time: 0.0162 memory: 13431 grad_norm: 3.3731 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3633 loss: 2.3633 2022/08/16 02:32:49 - mmengine - INFO - Epoch(train) [158][1400/3757] lr: 3.2579e-02 eta: 1 day, 17:19:45 time: 0.4043 data_time: 0.0167 memory: 13431 grad_norm: 3.5702 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4117 loss: 2.4117 2022/08/16 02:33:30 - mmengine - INFO - Epoch(train) [158][1500/3757] lr: 3.2579e-02 eta: 1 day, 17:19:05 time: 0.4037 data_time: 0.0149 memory: 13431 grad_norm: 3.5430 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5162 loss: 2.5162 2022/08/16 02:34:11 - mmengine - INFO - Epoch(train) [158][1600/3757] lr: 3.2579e-02 eta: 1 day, 17:18:25 time: 0.4047 data_time: 0.0155 memory: 13431 grad_norm: 3.4974 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4713 loss: 2.4713 2022/08/16 02:34:52 - mmengine - INFO - Epoch(train) [158][1700/3757] lr: 3.2579e-02 eta: 1 day, 17:17:46 time: 0.4062 data_time: 0.0141 memory: 13431 grad_norm: 3.5287 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0644 loss: 2.0644 2022/08/16 02:35:33 - mmengine - INFO - Epoch(train) [158][1800/3757] lr: 3.2579e-02 eta: 1 day, 17:17:06 time: 0.4077 data_time: 0.0148 memory: 13431 grad_norm: 3.4082 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2472 loss: 2.2472 2022/08/16 02:36:13 - mmengine - INFO - Epoch(train) [158][1900/3757] lr: 3.2579e-02 eta: 1 day, 17:16:26 time: 0.4111 data_time: 0.0148 memory: 13431 grad_norm: 3.6265 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6543 loss: 2.6543 2022/08/16 02:36:55 - mmengine - INFO - Epoch(train) [158][2000/3757] lr: 3.2579e-02 eta: 1 day, 17:15:46 time: 0.4061 data_time: 0.0150 memory: 13431 grad_norm: 3.4770 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1823 loss: 2.1823 2022/08/16 02:37:35 - mmengine - INFO - Epoch(train) [158][2100/3757] lr: 3.2579e-02 eta: 1 day, 17:15:06 time: 0.4066 data_time: 0.0156 memory: 13431 grad_norm: 3.5037 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2520 loss: 2.2520 2022/08/16 02:37:56 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 02:38:16 - mmengine - INFO - Epoch(train) [158][2200/3757] lr: 3.2579e-02 eta: 1 day, 17:14:26 time: 0.4067 data_time: 0.0152 memory: 13431 grad_norm: 3.6027 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4390 loss: 2.4390 2022/08/16 02:38:57 - mmengine - INFO - Epoch(train) [158][2300/3757] lr: 3.2579e-02 eta: 1 day, 17:13:46 time: 0.4052 data_time: 0.0161 memory: 13431 grad_norm: 3.4203 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2638 loss: 2.2638 2022/08/16 02:39:37 - mmengine - INFO - Epoch(train) [158][2400/3757] lr: 3.2579e-02 eta: 1 day, 17:13:07 time: 0.4043 data_time: 0.0152 memory: 13431 grad_norm: 3.4659 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4357 loss: 2.4357 2022/08/16 02:40:18 - mmengine - INFO - Epoch(train) [158][2500/3757] lr: 3.2579e-02 eta: 1 day, 17:12:27 time: 0.4105 data_time: 0.0155 memory: 13431 grad_norm: 3.5769 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4595 loss: 2.4595 2022/08/16 02:40:59 - mmengine - INFO - Epoch(train) [158][2600/3757] lr: 3.2579e-02 eta: 1 day, 17:11:47 time: 0.4047 data_time: 0.0166 memory: 13431 grad_norm: 3.5771 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3716 loss: 2.3716 2022/08/16 02:41:40 - mmengine - INFO - Epoch(train) [158][2700/3757] lr: 3.2579e-02 eta: 1 day, 17:11:07 time: 0.4071 data_time: 0.0161 memory: 13431 grad_norm: 3.4651 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7174 loss: 2.7174 2022/08/16 02:42:21 - mmengine - INFO - Epoch(train) [158][2800/3757] lr: 3.2579e-02 eta: 1 day, 17:10:27 time: 0.4048 data_time: 0.0175 memory: 13431 grad_norm: 3.4774 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5831 loss: 2.5831 2022/08/16 02:43:01 - mmengine - INFO - Epoch(train) [158][2900/3757] lr: 3.2579e-02 eta: 1 day, 17:09:47 time: 0.4057 data_time: 0.0148 memory: 13431 grad_norm: 3.4812 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4745 loss: 2.4745 2022/08/16 02:43:42 - mmengine - INFO - Epoch(train) [158][3000/3757] lr: 3.2579e-02 eta: 1 day, 17:09:07 time: 0.4031 data_time: 0.0144 memory: 13431 grad_norm: 3.3851 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4159 loss: 2.4159 2022/08/16 02:44:23 - mmengine - INFO - Epoch(train) [158][3100/3757] lr: 3.2579e-02 eta: 1 day, 17:08:28 time: 0.4031 data_time: 0.0146 memory: 13431 grad_norm: 3.4342 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5498 loss: 2.5498 2022/08/16 02:44:44 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 02:45:03 - mmengine - INFO - Epoch(train) [158][3200/3757] lr: 3.2579e-02 eta: 1 day, 17:07:48 time: 0.4055 data_time: 0.0147 memory: 13431 grad_norm: 3.4798 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4938 loss: 2.4938 2022/08/16 02:45:44 - mmengine - INFO - Epoch(train) [158][3300/3757] lr: 3.2579e-02 eta: 1 day, 17:07:08 time: 0.4041 data_time: 0.0156 memory: 13431 grad_norm: 3.6172 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3662 loss: 2.3662 2022/08/16 02:46:25 - mmengine - INFO - Epoch(train) [158][3400/3757] lr: 3.2579e-02 eta: 1 day, 17:06:28 time: 0.4084 data_time: 0.0158 memory: 13431 grad_norm: 3.5107 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3131 loss: 2.3131 2022/08/16 02:47:06 - mmengine - INFO - Epoch(train) [158][3500/3757] lr: 3.2579e-02 eta: 1 day, 17:05:48 time: 0.4079 data_time: 0.0152 memory: 13431 grad_norm: 3.4226 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3308 loss: 2.3308 2022/08/16 02:47:47 - mmengine - INFO - Epoch(train) [158][3600/3757] lr: 3.2579e-02 eta: 1 day, 17:05:08 time: 0.4086 data_time: 0.0158 memory: 13431 grad_norm: 3.5817 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2907 loss: 2.2907 2022/08/16 02:48:28 - mmengine - INFO - Epoch(train) [158][3700/3757] lr: 3.2579e-02 eta: 1 day, 17:04:28 time: 0.4047 data_time: 0.0155 memory: 13431 grad_norm: 3.5114 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6896 loss: 2.6896 2022/08/16 02:48:51 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 02:48:51 - mmengine - INFO - Epoch(train) [158][3757/3757] lr: 3.2579e-02 eta: 1 day, 17:04:12 time: 0.3934 data_time: 0.0140 memory: 13431 grad_norm: 3.6001 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 2.5287 loss: 2.5287 2022/08/16 02:49:33 - mmengine - INFO - Epoch(train) [159][100/3757] lr: 3.2005e-02 eta: 1 day, 17:03:23 time: 0.4028 data_time: 0.0147 memory: 13431 grad_norm: 3.6049 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.6881 loss: 2.6881 2022/08/16 02:50:14 - mmengine - INFO - Epoch(train) [159][200/3757] lr: 3.2005e-02 eta: 1 day, 17:02:43 time: 0.4027 data_time: 0.0145 memory: 13431 grad_norm: 3.5041 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6947 loss: 2.6947 2022/08/16 02:50:55 - mmengine - INFO - Epoch(train) [159][300/3757] lr: 3.2005e-02 eta: 1 day, 17:02:03 time: 0.4116 data_time: 0.0155 memory: 13431 grad_norm: 3.4840 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5090 loss: 2.5090 2022/08/16 02:51:33 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 02:51:36 - mmengine - INFO - Epoch(train) [159][400/3757] lr: 3.2005e-02 eta: 1 day, 17:01:23 time: 0.4021 data_time: 0.0154 memory: 13431 grad_norm: 3.4236 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.3816 loss: 2.3816 2022/08/16 02:52:17 - mmengine - INFO - Epoch(train) [159][500/3757] lr: 3.2005e-02 eta: 1 day, 17:00:43 time: 0.4117 data_time: 0.0169 memory: 13431 grad_norm: 3.3489 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3860 loss: 2.3860 2022/08/16 02:52:57 - mmengine - INFO - Epoch(train) [159][600/3757] lr: 3.2005e-02 eta: 1 day, 17:00:03 time: 0.4053 data_time: 0.0151 memory: 13431 grad_norm: 3.4298 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2696 loss: 2.2696 2022/08/16 02:53:38 - mmengine - INFO - Epoch(train) [159][700/3757] lr: 3.2005e-02 eta: 1 day, 16:59:23 time: 0.4044 data_time: 0.0160 memory: 13431 grad_norm: 3.5144 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3983 loss: 2.3983 2022/08/16 02:54:19 - mmengine - INFO - Epoch(train) [159][800/3757] lr: 3.2005e-02 eta: 1 day, 16:58:44 time: 0.4056 data_time: 0.0153 memory: 13431 grad_norm: 3.5090 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4588 loss: 2.4588 2022/08/16 02:54:59 - mmengine - INFO - Epoch(train) [159][900/3757] lr: 3.2005e-02 eta: 1 day, 16:58:04 time: 0.4044 data_time: 0.0162 memory: 13431 grad_norm: 3.4241 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3311 loss: 2.3311 2022/08/16 02:55:40 - mmengine - INFO - Epoch(train) [159][1000/3757] lr: 3.2005e-02 eta: 1 day, 16:57:24 time: 0.4139 data_time: 0.0178 memory: 13431 grad_norm: 3.5103 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2431 loss: 2.2431 2022/08/16 02:56:21 - mmengine - INFO - Epoch(train) [159][1100/3757] lr: 3.2005e-02 eta: 1 day, 16:56:44 time: 0.4043 data_time: 0.0161 memory: 13431 grad_norm: 3.5326 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3732 loss: 2.3732 2022/08/16 02:57:02 - mmengine - INFO - Epoch(train) [159][1200/3757] lr: 3.2005e-02 eta: 1 day, 16:56:04 time: 0.4046 data_time: 0.0165 memory: 13431 grad_norm: 3.5693 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4006 loss: 2.4006 2022/08/16 02:57:43 - mmengine - INFO - Epoch(train) [159][1300/3757] lr: 3.2005e-02 eta: 1 day, 16:55:24 time: 0.4046 data_time: 0.0147 memory: 13431 grad_norm: 3.4987 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4765 loss: 2.4765 2022/08/16 02:58:21 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 02:58:24 - mmengine - INFO - Epoch(train) [159][1400/3757] lr: 3.2005e-02 eta: 1 day, 16:54:44 time: 0.4051 data_time: 0.0154 memory: 13431 grad_norm: 3.4319 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1787 loss: 2.1787 2022/08/16 02:59:04 - mmengine - INFO - Epoch(train) [159][1500/3757] lr: 3.2005e-02 eta: 1 day, 16:54:05 time: 0.4032 data_time: 0.0147 memory: 13431 grad_norm: 3.6036 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1540 loss: 2.1540 2022/08/16 02:59:45 - mmengine - INFO - Epoch(train) [159][1600/3757] lr: 3.2005e-02 eta: 1 day, 16:53:25 time: 0.4045 data_time: 0.0162 memory: 13431 grad_norm: 3.4690 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4675 loss: 2.4675 2022/08/16 03:00:26 - mmengine - INFO - Epoch(train) [159][1700/3757] lr: 3.2005e-02 eta: 1 day, 16:52:45 time: 0.4063 data_time: 0.0160 memory: 13431 grad_norm: 3.5197 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5204 loss: 2.5204 2022/08/16 03:01:07 - mmengine - INFO - Epoch(train) [159][1800/3757] lr: 3.2005e-02 eta: 1 day, 16:52:05 time: 0.4074 data_time: 0.0164 memory: 13431 grad_norm: 3.4975 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1655 loss: 2.1655 2022/08/16 03:01:48 - mmengine - INFO - Epoch(train) [159][1900/3757] lr: 3.2005e-02 eta: 1 day, 16:51:25 time: 0.4057 data_time: 0.0147 memory: 13431 grad_norm: 3.4845 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.4681 loss: 2.4681 2022/08/16 03:02:29 - mmengine - INFO - Epoch(train) [159][2000/3757] lr: 3.2005e-02 eta: 1 day, 16:50:46 time: 0.4072 data_time: 0.0151 memory: 13431 grad_norm: 3.4714 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.2988 loss: 2.2988 2022/08/16 03:03:10 - mmengine - INFO - Epoch(train) [159][2100/3757] lr: 3.2005e-02 eta: 1 day, 16:50:06 time: 0.4105 data_time: 0.0150 memory: 13431 grad_norm: 3.4631 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1528 loss: 2.1528 2022/08/16 03:03:50 - mmengine - INFO - Epoch(train) [159][2200/3757] lr: 3.2005e-02 eta: 1 day, 16:49:26 time: 0.4049 data_time: 0.0148 memory: 13431 grad_norm: 3.6036 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3228 loss: 2.3228 2022/08/16 03:04:31 - mmengine - INFO - Epoch(train) [159][2300/3757] lr: 3.2005e-02 eta: 1 day, 16:48:46 time: 0.4036 data_time: 0.0143 memory: 13431 grad_norm: 3.4741 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2212 loss: 2.2212 2022/08/16 03:05:10 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 03:05:12 - mmengine - INFO - Epoch(train) [159][2400/3757] lr: 3.2005e-02 eta: 1 day, 16:48:06 time: 0.4082 data_time: 0.0146 memory: 13431 grad_norm: 3.5937 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7752 loss: 2.7752 2022/08/16 03:05:53 - mmengine - INFO - Epoch(train) [159][2500/3757] lr: 3.2005e-02 eta: 1 day, 16:47:26 time: 0.4045 data_time: 0.0159 memory: 13431 grad_norm: 3.5476 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2934 loss: 2.2934 2022/08/16 03:06:33 - mmengine - INFO - Epoch(train) [159][2600/3757] lr: 3.2005e-02 eta: 1 day, 16:46:46 time: 0.4045 data_time: 0.0157 memory: 13431 grad_norm: 3.6528 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4852 loss: 2.4852 2022/08/16 03:07:14 - mmengine - INFO - Epoch(train) [159][2700/3757] lr: 3.2005e-02 eta: 1 day, 16:46:06 time: 0.4011 data_time: 0.0143 memory: 13431 grad_norm: 3.5046 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1135 loss: 2.1135 2022/08/16 03:07:55 - mmengine - INFO - Epoch(train) [159][2800/3757] lr: 3.2005e-02 eta: 1 day, 16:45:27 time: 0.4138 data_time: 0.0148 memory: 13431 grad_norm: 3.4482 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1942 loss: 2.1942 2022/08/16 03:08:36 - mmengine - INFO - Epoch(train) [159][2900/3757] lr: 3.2005e-02 eta: 1 day, 16:44:47 time: 0.4039 data_time: 0.0157 memory: 13431 grad_norm: 3.4153 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.4003 loss: 2.4003 2022/08/16 03:09:17 - mmengine - INFO - Epoch(train) [159][3000/3757] lr: 3.2005e-02 eta: 1 day, 16:44:07 time: 0.4027 data_time: 0.0145 memory: 13431 grad_norm: 3.5916 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4150 loss: 2.4150 2022/08/16 03:09:58 - mmengine - INFO - Epoch(train) [159][3100/3757] lr: 3.2005e-02 eta: 1 day, 16:43:27 time: 0.4113 data_time: 0.0148 memory: 13431 grad_norm: 3.5437 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3705 loss: 2.3705 2022/08/16 03:10:38 - mmengine - INFO - Epoch(train) [159][3200/3757] lr: 3.2005e-02 eta: 1 day, 16:42:47 time: 0.4049 data_time: 0.0159 memory: 13431 grad_norm: 3.5089 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3937 loss: 2.3937 2022/08/16 03:11:19 - mmengine - INFO - Epoch(train) [159][3300/3757] lr: 3.2005e-02 eta: 1 day, 16:42:07 time: 0.4044 data_time: 0.0147 memory: 13431 grad_norm: 3.4412 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4891 loss: 2.4891 2022/08/16 03:11:58 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 03:12:00 - mmengine - INFO - Epoch(train) [159][3400/3757] lr: 3.2005e-02 eta: 1 day, 16:41:28 time: 0.4064 data_time: 0.0155 memory: 13431 grad_norm: 3.6382 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2756 loss: 2.2756 2022/08/16 03:12:41 - mmengine - INFO - Epoch(train) [159][3500/3757] lr: 3.2005e-02 eta: 1 day, 16:40:48 time: 0.4080 data_time: 0.0156 memory: 13431 grad_norm: 3.4819 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2017 loss: 2.2017 2022/08/16 03:13:22 - mmengine - INFO - Epoch(train) [159][3600/3757] lr: 3.2005e-02 eta: 1 day, 16:40:08 time: 0.4076 data_time: 0.0154 memory: 13431 grad_norm: 3.4086 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.3982 loss: 2.3982 2022/08/16 03:14:03 - mmengine - INFO - Epoch(train) [159][3700/3757] lr: 3.2005e-02 eta: 1 day, 16:39:28 time: 0.4066 data_time: 0.0159 memory: 13431 grad_norm: 3.6197 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3935 loss: 2.3935 2022/08/16 03:14:26 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 03:14:26 - mmengine - INFO - Epoch(train) [159][3757/3757] lr: 3.2005e-02 eta: 1 day, 16:39:12 time: 0.3918 data_time: 0.0146 memory: 13431 grad_norm: 3.5671 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.1857 loss: 2.1857 2022/08/16 03:15:09 - mmengine - INFO - Epoch(train) [160][100/3757] lr: 3.1434e-02 eta: 1 day, 16:38:23 time: 0.4048 data_time: 0.0152 memory: 13431 grad_norm: 3.5103 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5340 loss: 2.5340 2022/08/16 03:15:50 - mmengine - INFO - Epoch(train) [160][200/3757] lr: 3.1434e-02 eta: 1 day, 16:37:43 time: 0.4096 data_time: 0.0155 memory: 13431 grad_norm: 3.5094 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6770 loss: 2.6770 2022/08/16 03:16:31 - mmengine - INFO - Epoch(train) [160][300/3757] lr: 3.1434e-02 eta: 1 day, 16:37:03 time: 0.4065 data_time: 0.0153 memory: 13431 grad_norm: 3.5009 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2402 loss: 2.2402 2022/08/16 03:17:11 - mmengine - INFO - Epoch(train) [160][400/3757] lr: 3.1434e-02 eta: 1 day, 16:36:23 time: 0.4097 data_time: 0.0160 memory: 13431 grad_norm: 3.5507 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4069 loss: 2.4069 2022/08/16 03:17:52 - mmengine - INFO - Epoch(train) [160][500/3757] lr: 3.1434e-02 eta: 1 day, 16:35:43 time: 0.4032 data_time: 0.0154 memory: 13431 grad_norm: 3.5511 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5093 loss: 2.5093 2022/08/16 03:18:33 - mmengine - INFO - Epoch(train) [160][600/3757] lr: 3.1434e-02 eta: 1 day, 16:35:03 time: 0.4035 data_time: 0.0148 memory: 13431 grad_norm: 3.4642 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.3231 loss: 2.3231 2022/08/16 03:18:48 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 03:19:14 - mmengine - INFO - Epoch(train) [160][700/3757] lr: 3.1434e-02 eta: 1 day, 16:34:23 time: 0.4045 data_time: 0.0152 memory: 13431 grad_norm: 3.6426 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4111 loss: 2.4111 2022/08/16 03:19:54 - mmengine - INFO - Epoch(train) [160][800/3757] lr: 3.1434e-02 eta: 1 day, 16:33:44 time: 0.4054 data_time: 0.0148 memory: 13431 grad_norm: 3.5664 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2388 loss: 2.2388 2022/08/16 03:20:35 - mmengine - INFO - Epoch(train) [160][900/3757] lr: 3.1434e-02 eta: 1 day, 16:33:04 time: 0.4035 data_time: 0.0151 memory: 13431 grad_norm: 3.5585 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2253 loss: 2.2253 2022/08/16 03:21:16 - mmengine - INFO - Epoch(train) [160][1000/3757] lr: 3.1434e-02 eta: 1 day, 16:32:24 time: 0.4054 data_time: 0.0149 memory: 13431 grad_norm: 3.5854 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2061 loss: 2.2061 2022/08/16 03:21:57 - mmengine - INFO - Epoch(train) [160][1100/3757] lr: 3.1434e-02 eta: 1 day, 16:31:44 time: 0.4116 data_time: 0.0144 memory: 13431 grad_norm: 3.5701 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9251 loss: 1.9251 2022/08/16 03:22:38 - mmengine - INFO - Epoch(train) [160][1200/3757] lr: 3.1434e-02 eta: 1 day, 16:31:04 time: 0.4035 data_time: 0.0144 memory: 13431 grad_norm: 3.3665 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3216 loss: 2.3216 2022/08/16 03:23:19 - mmengine - INFO - Epoch(train) [160][1300/3757] lr: 3.1434e-02 eta: 1 day, 16:30:24 time: 0.4047 data_time: 0.0158 memory: 13431 grad_norm: 3.5015 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4087 loss: 2.4087 2022/08/16 03:23:59 - mmengine - INFO - Epoch(train) [160][1400/3757] lr: 3.1434e-02 eta: 1 day, 16:29:45 time: 0.4069 data_time: 0.0161 memory: 13431 grad_norm: 3.4120 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5297 loss: 2.5297 2022/08/16 03:24:40 - mmengine - INFO - Epoch(train) [160][1500/3757] lr: 3.1434e-02 eta: 1 day, 16:29:05 time: 0.4060 data_time: 0.0156 memory: 13431 grad_norm: 3.5247 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4362 loss: 2.4362 2022/08/16 03:25:21 - mmengine - INFO - Epoch(train) [160][1600/3757] lr: 3.1434e-02 eta: 1 day, 16:28:25 time: 0.4061 data_time: 0.0161 memory: 13431 grad_norm: 3.4890 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5020 loss: 2.5020 2022/08/16 03:25:36 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 03:26:02 - mmengine - INFO - Epoch(train) [160][1700/3757] lr: 3.1434e-02 eta: 1 day, 16:27:45 time: 0.4058 data_time: 0.0159 memory: 13431 grad_norm: 3.5073 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6111 loss: 2.6111 2022/08/16 03:26:43 - mmengine - INFO - Epoch(train) [160][1800/3757] lr: 3.1434e-02 eta: 1 day, 16:27:05 time: 0.4058 data_time: 0.0149 memory: 13431 grad_norm: 3.3600 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4613 loss: 2.4613 2022/08/16 03:27:24 - mmengine - INFO - Epoch(train) [160][1900/3757] lr: 3.1434e-02 eta: 1 day, 16:26:25 time: 0.4073 data_time: 0.0150 memory: 13431 grad_norm: 3.5980 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.4097 loss: 2.4097 2022/08/16 03:28:04 - mmengine - INFO - Epoch(train) [160][2000/3757] lr: 3.1434e-02 eta: 1 day, 16:25:45 time: 0.4048 data_time: 0.0154 memory: 13431 grad_norm: 3.5017 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.1237 loss: 2.1237 2022/08/16 03:28:45 - mmengine - INFO - Epoch(train) [160][2100/3757] lr: 3.1434e-02 eta: 1 day, 16:25:06 time: 0.4062 data_time: 0.0159 memory: 13431 grad_norm: 3.5577 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2780 loss: 2.2780 2022/08/16 03:29:26 - mmengine - INFO - Epoch(train) [160][2200/3757] lr: 3.1434e-02 eta: 1 day, 16:24:26 time: 0.4041 data_time: 0.0144 memory: 13431 grad_norm: 3.5640 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2527 loss: 2.2527 2022/08/16 03:30:07 - mmengine - INFO - Epoch(train) [160][2300/3757] lr: 3.1434e-02 eta: 1 day, 16:23:46 time: 0.4022 data_time: 0.0142 memory: 13431 grad_norm: 3.5965 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5546 loss: 2.5546 2022/08/16 03:30:48 - mmengine - INFO - Epoch(train) [160][2400/3757] lr: 3.1434e-02 eta: 1 day, 16:23:06 time: 0.4071 data_time: 0.0145 memory: 13431 grad_norm: 3.6349 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4168 loss: 2.4168 2022/08/16 03:31:29 - mmengine - INFO - Epoch(train) [160][2500/3757] lr: 3.1434e-02 eta: 1 day, 16:22:26 time: 0.4057 data_time: 0.0162 memory: 13431 grad_norm: 3.4672 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4801 loss: 2.4801 2022/08/16 03:32:09 - mmengine - INFO - Epoch(train) [160][2600/3757] lr: 3.1434e-02 eta: 1 day, 16:21:46 time: 0.4037 data_time: 0.0157 memory: 13431 grad_norm: 3.7271 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.2187 loss: 2.2187 2022/08/16 03:32:25 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 03:32:50 - mmengine - INFO - Epoch(train) [160][2700/3757] lr: 3.1434e-02 eta: 1 day, 16:21:07 time: 0.4029 data_time: 0.0159 memory: 13431 grad_norm: 3.5598 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3718 loss: 2.3718 2022/08/16 03:33:31 - mmengine - INFO - Epoch(train) [160][2800/3757] lr: 3.1434e-02 eta: 1 day, 16:20:27 time: 0.4104 data_time: 0.0171 memory: 13431 grad_norm: 3.4969 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2120 loss: 2.2120 2022/08/16 03:34:12 - mmengine - INFO - Epoch(train) [160][2900/3757] lr: 3.1434e-02 eta: 1 day, 16:19:47 time: 0.4037 data_time: 0.0150 memory: 13431 grad_norm: 3.5355 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3463 loss: 2.3463 2022/08/16 03:34:53 - mmengine - INFO - Epoch(train) [160][3000/3757] lr: 3.1434e-02 eta: 1 day, 16:19:07 time: 0.4098 data_time: 0.0152 memory: 13431 grad_norm: 3.7160 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3395 loss: 2.3395 2022/08/16 03:35:33 - mmengine - INFO - Epoch(train) [160][3100/3757] lr: 3.1434e-02 eta: 1 day, 16:18:27 time: 0.4052 data_time: 0.0156 memory: 13431 grad_norm: 3.5403 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4788 loss: 2.4788 2022/08/16 03:36:15 - mmengine - INFO - Epoch(train) [160][3200/3757] lr: 3.1434e-02 eta: 1 day, 16:17:47 time: 0.4054 data_time: 0.0144 memory: 13431 grad_norm: 3.5432 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3139 loss: 2.3139 2022/08/16 03:36:55 - mmengine - INFO - Epoch(train) [160][3300/3757] lr: 3.1434e-02 eta: 1 day, 16:17:08 time: 0.4049 data_time: 0.0160 memory: 13431 grad_norm: 3.6384 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4956 loss: 2.4956 2022/08/16 03:37:36 - mmengine - INFO - Epoch(train) [160][3400/3757] lr: 3.1434e-02 eta: 1 day, 16:16:28 time: 0.4107 data_time: 0.0156 memory: 13431 grad_norm: 3.4923 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2876 loss: 2.2876 2022/08/16 03:38:17 - mmengine - INFO - Epoch(train) [160][3500/3757] lr: 3.1434e-02 eta: 1 day, 16:15:48 time: 0.4113 data_time: 0.0151 memory: 13431 grad_norm: 3.4653 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6168 loss: 2.6168 2022/08/16 03:38:58 - mmengine - INFO - Epoch(train) [160][3600/3757] lr: 3.1434e-02 eta: 1 day, 16:15:08 time: 0.4034 data_time: 0.0147 memory: 13431 grad_norm: 3.4475 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4304 loss: 2.4304 2022/08/16 03:39:13 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 03:39:39 - mmengine - INFO - Epoch(train) [160][3700/3757] lr: 3.1434e-02 eta: 1 day, 16:14:28 time: 0.4028 data_time: 0.0157 memory: 13431 grad_norm: 3.5461 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3143 loss: 2.3143 2022/08/16 03:40:02 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 03:40:02 - mmengine - INFO - Epoch(train) [160][3757/3757] lr: 3.1434e-02 eta: 1 day, 16:14:12 time: 0.3956 data_time: 0.0143 memory: 13431 grad_norm: 3.5679 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 2.6414 loss: 2.6414 2022/08/16 03:40:02 - mmengine - INFO - Saving checkpoint at 160 epochs 2022/08/16 03:40:30 - mmengine - INFO - Epoch(val) [160][100/310] eta: 0:00:43 time: 0.2066 data_time: 0.0771 memory: 1974 2022/08/16 03:40:52 - mmengine - INFO - Epoch(val) [160][200/310] eta: 0:00:20 time: 0.1902 data_time: 0.0599 memory: 1974 2022/08/16 03:41:11 - mmengine - INFO - Epoch(val) [160][300/310] eta: 0:00:01 time: 0.1237 data_time: 0.0156 memory: 1974 2022/08/16 03:41:14 - mmengine - INFO - Epoch(val) [160][310/310] acc/top1: 0.5277 acc/top5: 0.7867 acc/mean1: 0.5277 2022/08/16 03:41:14 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_156.pth is removed 2022/08/16 03:41:17 - mmengine - INFO - The best checkpoint with 0.5277 acc/top1 at 161 epoch is saved to best_acc/top1_epoch_161.pth. 2022/08/16 03:41:59 - mmengine - INFO - Epoch(train) [161][100/3757] lr: 3.0866e-02 eta: 1 day, 16:13:22 time: 0.4033 data_time: 0.0146 memory: 13431 grad_norm: 3.5479 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2151 loss: 2.2151 2022/08/16 03:42:40 - mmengine - INFO - Epoch(train) [161][200/3757] lr: 3.0866e-02 eta: 1 day, 16:12:42 time: 0.4050 data_time: 0.0153 memory: 13431 grad_norm: 3.4549 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5854 loss: 2.5854 2022/08/16 03:43:21 - mmengine - INFO - Epoch(train) [161][300/3757] lr: 3.0866e-02 eta: 1 day, 16:12:03 time: 0.4048 data_time: 0.0155 memory: 13431 grad_norm: 3.5469 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0886 loss: 2.0886 2022/08/16 03:44:02 - mmengine - INFO - Epoch(train) [161][400/3757] lr: 3.0866e-02 eta: 1 day, 16:11:23 time: 0.4057 data_time: 0.0157 memory: 13431 grad_norm: 3.5330 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0655 loss: 2.0655 2022/08/16 03:44:42 - mmengine - INFO - Epoch(train) [161][500/3757] lr: 3.0866e-02 eta: 1 day, 16:10:43 time: 0.4037 data_time: 0.0155 memory: 13431 grad_norm: 3.6686 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6588 loss: 2.6588 2022/08/16 03:45:23 - mmengine - INFO - Epoch(train) [161][600/3757] lr: 3.0866e-02 eta: 1 day, 16:10:03 time: 0.4060 data_time: 0.0161 memory: 13431 grad_norm: 3.5800 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6376 loss: 2.6376 2022/08/16 03:46:04 - mmengine - INFO - Epoch(train) [161][700/3757] lr: 3.0866e-02 eta: 1 day, 16:09:23 time: 0.4056 data_time: 0.0157 memory: 13431 grad_norm: 3.4996 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1968 loss: 2.1968 2022/08/16 03:46:45 - mmengine - INFO - Epoch(train) [161][800/3757] lr: 3.0866e-02 eta: 1 day, 16:08:43 time: 0.4062 data_time: 0.0150 memory: 13431 grad_norm: 3.4613 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3953 loss: 2.3953 2022/08/16 03:47:18 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 03:47:26 - mmengine - INFO - Epoch(train) [161][900/3757] lr: 3.0866e-02 eta: 1 day, 16:08:03 time: 0.4055 data_time: 0.0152 memory: 13431 grad_norm: 3.5526 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3216 loss: 2.3216 2022/08/16 03:48:06 - mmengine - INFO - Epoch(train) [161][1000/3757] lr: 3.0866e-02 eta: 1 day, 16:07:23 time: 0.4058 data_time: 0.0152 memory: 13431 grad_norm: 3.4991 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2768 loss: 2.2768 2022/08/16 03:48:47 - mmengine - INFO - Epoch(train) [161][1100/3757] lr: 3.0866e-02 eta: 1 day, 16:06:44 time: 0.4031 data_time: 0.0147 memory: 13431 grad_norm: 3.5879 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.3880 loss: 2.3880 2022/08/16 03:49:28 - mmengine - INFO - Epoch(train) [161][1200/3757] lr: 3.0866e-02 eta: 1 day, 16:06:04 time: 0.4026 data_time: 0.0156 memory: 13431 grad_norm: 3.5959 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4412 loss: 2.4412 2022/08/16 03:50:09 - mmengine - INFO - Epoch(train) [161][1300/3757] lr: 3.0866e-02 eta: 1 day, 16:05:24 time: 0.4060 data_time: 0.0160 memory: 13431 grad_norm: 3.5489 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4772 loss: 2.4772 2022/08/16 03:50:50 - mmengine - INFO - Epoch(train) [161][1400/3757] lr: 3.0866e-02 eta: 1 day, 16:04:44 time: 0.4029 data_time: 0.0157 memory: 13431 grad_norm: 3.6097 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.4624 loss: 2.4624 2022/08/16 03:51:30 - mmengine - INFO - Epoch(train) [161][1500/3757] lr: 3.0866e-02 eta: 1 day, 16:04:04 time: 0.4063 data_time: 0.0166 memory: 13431 grad_norm: 3.5010 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4532 loss: 2.4532 2022/08/16 03:52:11 - mmengine - INFO - Epoch(train) [161][1600/3757] lr: 3.0866e-02 eta: 1 day, 16:03:24 time: 0.4036 data_time: 0.0147 memory: 13431 grad_norm: 3.6255 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3769 loss: 2.3769 2022/08/16 03:52:52 - mmengine - INFO - Epoch(train) [161][1700/3757] lr: 3.0866e-02 eta: 1 day, 16:02:45 time: 0.4107 data_time: 0.0152 memory: 13431 grad_norm: 3.6123 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1901 loss: 2.1901 2022/08/16 03:53:33 - mmengine - INFO - Epoch(train) [161][1800/3757] lr: 3.0866e-02 eta: 1 day, 16:02:05 time: 0.4109 data_time: 0.0161 memory: 13431 grad_norm: 3.4179 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2658 loss: 2.2658 2022/08/16 03:54:06 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 03:54:14 - mmengine - INFO - Epoch(train) [161][1900/3757] lr: 3.0866e-02 eta: 1 day, 16:01:25 time: 0.4073 data_time: 0.0156 memory: 13431 grad_norm: 3.5918 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.2179 loss: 2.2179 2022/08/16 03:54:55 - mmengine - INFO - Epoch(train) [161][2000/3757] lr: 3.0866e-02 eta: 1 day, 16:00:45 time: 0.4028 data_time: 0.0167 memory: 13431 grad_norm: 3.5782 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5459 loss: 2.5459 2022/08/16 03:55:36 - mmengine - INFO - Epoch(train) [161][2100/3757] lr: 3.0866e-02 eta: 1 day, 16:00:05 time: 0.4042 data_time: 0.0156 memory: 13431 grad_norm: 3.4658 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2573 loss: 2.2573 2022/08/16 03:56:16 - mmengine - INFO - Epoch(train) [161][2200/3757] lr: 3.0866e-02 eta: 1 day, 15:59:25 time: 0.4069 data_time: 0.0151 memory: 13431 grad_norm: 3.4994 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5527 loss: 2.5527 2022/08/16 03:56:57 - mmengine - INFO - Epoch(train) [161][2300/3757] lr: 3.0866e-02 eta: 1 day, 15:58:45 time: 0.4041 data_time: 0.0144 memory: 13431 grad_norm: 3.5701 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3796 loss: 2.3796 2022/08/16 03:57:38 - mmengine - INFO - Epoch(train) [161][2400/3757] lr: 3.0866e-02 eta: 1 day, 15:58:05 time: 0.4060 data_time: 0.0147 memory: 13431 grad_norm: 3.7028 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5228 loss: 2.5228 2022/08/16 03:58:19 - mmengine - INFO - Epoch(train) [161][2500/3757] lr: 3.0866e-02 eta: 1 day, 15:57:26 time: 0.4063 data_time: 0.0149 memory: 13431 grad_norm: 3.5577 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2645 loss: 2.2645 2022/08/16 03:59:00 - mmengine - INFO - Epoch(train) [161][2600/3757] lr: 3.0866e-02 eta: 1 day, 15:56:46 time: 0.4038 data_time: 0.0148 memory: 13431 grad_norm: 3.6502 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5408 loss: 2.5408 2022/08/16 03:59:40 - mmengine - INFO - Epoch(train) [161][2700/3757] lr: 3.0866e-02 eta: 1 day, 15:56:06 time: 0.4042 data_time: 0.0164 memory: 13431 grad_norm: 3.6226 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4100 loss: 2.4100 2022/08/16 04:00:21 - mmengine - INFO - Epoch(train) [161][2800/3757] lr: 3.0866e-02 eta: 1 day, 15:55:26 time: 0.4035 data_time: 0.0148 memory: 13431 grad_norm: 3.6757 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2196 loss: 2.2196 2022/08/16 04:00:54 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 04:01:02 - mmengine - INFO - Epoch(train) [161][2900/3757] lr: 3.0866e-02 eta: 1 day, 15:54:46 time: 0.4051 data_time: 0.0159 memory: 13431 grad_norm: 3.4658 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3506 loss: 2.3506 2022/08/16 04:01:43 - mmengine - INFO - Epoch(train) [161][3000/3757] lr: 3.0866e-02 eta: 1 day, 15:54:06 time: 0.4062 data_time: 0.0173 memory: 13431 grad_norm: 3.4705 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3046 loss: 2.3046 2022/08/16 04:02:23 - mmengine - INFO - Epoch(train) [161][3100/3757] lr: 3.0866e-02 eta: 1 day, 15:53:26 time: 0.4036 data_time: 0.0148 memory: 13431 grad_norm: 3.5024 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1770 loss: 2.1770 2022/08/16 04:03:04 - mmengine - INFO - Epoch(train) [161][3200/3757] lr: 3.0866e-02 eta: 1 day, 15:52:46 time: 0.4097 data_time: 0.0150 memory: 13431 grad_norm: 3.6176 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1891 loss: 2.1891 2022/08/16 04:03:45 - mmengine - INFO - Epoch(train) [161][3300/3757] lr: 3.0866e-02 eta: 1 day, 15:52:07 time: 0.4103 data_time: 0.0147 memory: 13431 grad_norm: 3.5731 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3239 loss: 2.3239 2022/08/16 04:04:26 - mmengine - INFO - Epoch(train) [161][3400/3757] lr: 3.0866e-02 eta: 1 day, 15:51:27 time: 0.4124 data_time: 0.0169 memory: 13431 grad_norm: 3.5775 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5087 loss: 2.5087 2022/08/16 04:05:07 - mmengine - INFO - Epoch(train) [161][3500/3757] lr: 3.0866e-02 eta: 1 day, 15:50:47 time: 0.4090 data_time: 0.0188 memory: 13431 grad_norm: 3.6936 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2824 loss: 2.2824 2022/08/16 04:05:48 - mmengine - INFO - Epoch(train) [161][3600/3757] lr: 3.0866e-02 eta: 1 day, 15:50:07 time: 0.4018 data_time: 0.0154 memory: 13431 grad_norm: 3.5369 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3917 loss: 2.3917 2022/08/16 04:06:29 - mmengine - INFO - Epoch(train) [161][3700/3757] lr: 3.0866e-02 eta: 1 day, 15:49:27 time: 0.4053 data_time: 0.0144 memory: 13431 grad_norm: 3.6392 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2657 loss: 2.2657 2022/08/16 04:06:52 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 04:06:52 - mmengine - INFO - Epoch(train) [161][3757/3757] lr: 3.0866e-02 eta: 1 day, 15:49:11 time: 0.3906 data_time: 0.0146 memory: 13431 grad_norm: 3.5915 top1_acc: 0.1429 top5_acc: 0.8571 loss_cls: 2.1282 loss: 2.1282 2022/08/16 04:07:35 - mmengine - INFO - Epoch(train) [162][100/3757] lr: 3.0300e-02 eta: 1 day, 15:48:22 time: 0.4159 data_time: 0.0159 memory: 13431 grad_norm: 3.6087 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5706 loss: 2.5706 2022/08/16 04:07:44 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 04:08:16 - mmengine - INFO - Epoch(train) [162][200/3757] lr: 3.0300e-02 eta: 1 day, 15:47:42 time: 0.4051 data_time: 0.0171 memory: 13431 grad_norm: 3.5698 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1881 loss: 2.1881 2022/08/16 04:08:56 - mmengine - INFO - Epoch(train) [162][300/3757] lr: 3.0300e-02 eta: 1 day, 15:47:02 time: 0.4081 data_time: 0.0159 memory: 13431 grad_norm: 3.6581 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3060 loss: 2.3060 2022/08/16 04:09:37 - mmengine - INFO - Epoch(train) [162][400/3757] lr: 3.0300e-02 eta: 1 day, 15:46:22 time: 0.4055 data_time: 0.0170 memory: 13431 grad_norm: 3.5265 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4814 loss: 2.4814 2022/08/16 04:10:18 - mmengine - INFO - Epoch(train) [162][500/3757] lr: 3.0300e-02 eta: 1 day, 15:45:42 time: 0.4074 data_time: 0.0151 memory: 13431 grad_norm: 3.6119 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6090 loss: 2.6090 2022/08/16 04:10:59 - mmengine - INFO - Epoch(train) [162][600/3757] lr: 3.0300e-02 eta: 1 day, 15:45:02 time: 0.4100 data_time: 0.0148 memory: 13431 grad_norm: 3.5903 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3608 loss: 2.3608 2022/08/16 04:11:40 - mmengine - INFO - Epoch(train) [162][700/3757] lr: 3.0300e-02 eta: 1 day, 15:44:23 time: 0.4146 data_time: 0.0161 memory: 13431 grad_norm: 3.6299 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0141 loss: 2.0141 2022/08/16 04:12:21 - mmengine - INFO - Epoch(train) [162][800/3757] lr: 3.0300e-02 eta: 1 day, 15:43:43 time: 0.4092 data_time: 0.0154 memory: 13431 grad_norm: 3.5817 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2589 loss: 2.2589 2022/08/16 04:13:01 - mmengine - INFO - Epoch(train) [162][900/3757] lr: 3.0300e-02 eta: 1 day, 15:43:03 time: 0.4057 data_time: 0.0151 memory: 13431 grad_norm: 3.6283 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1921 loss: 2.1921 2022/08/16 04:13:42 - mmengine - INFO - Epoch(train) [162][1000/3757] lr: 3.0300e-02 eta: 1 day, 15:42:23 time: 0.4040 data_time: 0.0154 memory: 13431 grad_norm: 3.5592 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1792 loss: 2.1792 2022/08/16 04:14:23 - mmengine - INFO - Epoch(train) [162][1100/3757] lr: 3.0300e-02 eta: 1 day, 15:41:43 time: 0.4048 data_time: 0.0148 memory: 13431 grad_norm: 3.4222 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2198 loss: 2.2198 2022/08/16 04:14:32 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 04:15:04 - mmengine - INFO - Epoch(train) [162][1200/3757] lr: 3.0300e-02 eta: 1 day, 15:41:03 time: 0.4079 data_time: 0.0165 memory: 13431 grad_norm: 3.4403 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6372 loss: 2.6372 2022/08/16 04:15:45 - mmengine - INFO - Epoch(train) [162][1300/3757] lr: 3.0300e-02 eta: 1 day, 15:40:23 time: 0.4060 data_time: 0.0154 memory: 13431 grad_norm: 3.5688 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1775 loss: 2.1775 2022/08/16 04:16:25 - mmengine - INFO - Epoch(train) [162][1400/3757] lr: 3.0300e-02 eta: 1 day, 15:39:43 time: 0.4110 data_time: 0.0150 memory: 13431 grad_norm: 3.6461 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3813 loss: 2.3813 2022/08/16 04:17:06 - mmengine - INFO - Epoch(train) [162][1500/3757] lr: 3.0300e-02 eta: 1 day, 15:39:04 time: 0.4095 data_time: 0.0160 memory: 13431 grad_norm: 3.5228 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3249 loss: 2.3249 2022/08/16 04:17:47 - mmengine - INFO - Epoch(train) [162][1600/3757] lr: 3.0300e-02 eta: 1 day, 15:38:24 time: 0.4062 data_time: 0.0154 memory: 13431 grad_norm: 3.5293 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0958 loss: 2.0958 2022/08/16 04:18:28 - mmengine - INFO - Epoch(train) [162][1700/3757] lr: 3.0300e-02 eta: 1 day, 15:37:44 time: 0.4024 data_time: 0.0144 memory: 13431 grad_norm: 3.7408 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6436 loss: 2.6436 2022/08/16 04:19:09 - mmengine - INFO - Epoch(train) [162][1800/3757] lr: 3.0300e-02 eta: 1 day, 15:37:04 time: 0.4039 data_time: 0.0154 memory: 13431 grad_norm: 3.5996 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4817 loss: 2.4817 2022/08/16 04:19:50 - mmengine - INFO - Epoch(train) [162][1900/3757] lr: 3.0300e-02 eta: 1 day, 15:36:24 time: 0.4023 data_time: 0.0144 memory: 13431 grad_norm: 3.5714 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5148 loss: 2.5148 2022/08/16 04:20:31 - mmengine - INFO - Epoch(train) [162][2000/3757] lr: 3.0300e-02 eta: 1 day, 15:35:44 time: 0.4041 data_time: 0.0154 memory: 13431 grad_norm: 3.4920 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0075 loss: 2.0075 2022/08/16 04:21:12 - mmengine - INFO - Epoch(train) [162][2100/3757] lr: 3.0300e-02 eta: 1 day, 15:35:05 time: 0.4150 data_time: 0.0167 memory: 13431 grad_norm: 3.6232 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1104 loss: 2.1104 2022/08/16 04:21:21 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 04:21:53 - mmengine - INFO - Epoch(train) [162][2200/3757] lr: 3.0300e-02 eta: 1 day, 15:34:25 time: 0.4047 data_time: 0.0144 memory: 13431 grad_norm: 3.6083 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5652 loss: 2.5652 2022/08/16 04:22:33 - mmengine - INFO - Epoch(train) [162][2300/3757] lr: 3.0300e-02 eta: 1 day, 15:33:45 time: 0.4105 data_time: 0.0142 memory: 13431 grad_norm: 3.5948 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2119 loss: 2.2119 2022/08/16 04:23:14 - mmengine - INFO - Epoch(train) [162][2400/3757] lr: 3.0300e-02 eta: 1 day, 15:33:05 time: 0.4057 data_time: 0.0150 memory: 13431 grad_norm: 3.6458 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4301 loss: 2.4301 2022/08/16 04:23:55 - mmengine - INFO - Epoch(train) [162][2500/3757] lr: 3.0300e-02 eta: 1 day, 15:32:25 time: 0.4045 data_time: 0.0157 memory: 13431 grad_norm: 3.4298 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2964 loss: 2.2964 2022/08/16 04:24:36 - mmengine - INFO - Epoch(train) [162][2600/3757] lr: 3.0300e-02 eta: 1 day, 15:31:45 time: 0.4062 data_time: 0.0146 memory: 13431 grad_norm: 3.4896 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0303 loss: 2.0303 2022/08/16 04:25:17 - mmengine - INFO - Epoch(train) [162][2700/3757] lr: 3.0300e-02 eta: 1 day, 15:31:06 time: 0.4056 data_time: 0.0149 memory: 13431 grad_norm: 3.5404 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5462 loss: 2.5462 2022/08/16 04:25:58 - mmengine - INFO - Epoch(train) [162][2800/3757] lr: 3.0300e-02 eta: 1 day, 15:30:26 time: 0.4125 data_time: 0.0163 memory: 13431 grad_norm: 3.7103 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2362 loss: 2.2362 2022/08/16 04:26:39 - mmengine - INFO - Epoch(train) [162][2900/3757] lr: 3.0300e-02 eta: 1 day, 15:29:46 time: 0.4108 data_time: 0.0163 memory: 13431 grad_norm: 3.6720 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1560 loss: 2.1560 2022/08/16 04:27:19 - mmengine - INFO - Epoch(train) [162][3000/3757] lr: 3.0300e-02 eta: 1 day, 15:29:06 time: 0.4046 data_time: 0.0164 memory: 13431 grad_norm: 3.5631 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4880 loss: 2.4880 2022/08/16 04:28:00 - mmengine - INFO - Epoch(train) [162][3100/3757] lr: 3.0300e-02 eta: 1 day, 15:28:26 time: 0.4053 data_time: 0.0139 memory: 13431 grad_norm: 3.7012 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7345 loss: 2.7345 2022/08/16 04:28:10 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 04:28:41 - mmengine - INFO - Epoch(train) [162][3200/3757] lr: 3.0300e-02 eta: 1 day, 15:27:46 time: 0.4049 data_time: 0.0158 memory: 13431 grad_norm: 3.4714 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9992 loss: 1.9992 2022/08/16 04:29:22 - mmengine - INFO - Epoch(train) [162][3300/3757] lr: 3.0300e-02 eta: 1 day, 15:27:06 time: 0.4056 data_time: 0.0155 memory: 13431 grad_norm: 3.5353 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3660 loss: 2.3660 2022/08/16 04:30:03 - mmengine - INFO - Epoch(train) [162][3400/3757] lr: 3.0300e-02 eta: 1 day, 15:26:26 time: 0.4043 data_time: 0.0146 memory: 13431 grad_norm: 3.4417 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2063 loss: 2.2063 2022/08/16 04:30:44 - mmengine - INFO - Epoch(train) [162][3500/3757] lr: 3.0300e-02 eta: 1 day, 15:25:47 time: 0.4114 data_time: 0.0150 memory: 13431 grad_norm: 3.5441 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3014 loss: 2.3014 2022/08/16 04:31:24 - mmengine - INFO - Epoch(train) [162][3600/3757] lr: 3.0300e-02 eta: 1 day, 15:25:07 time: 0.4044 data_time: 0.0146 memory: 13431 grad_norm: 3.5006 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3986 loss: 2.3986 2022/08/16 04:32:05 - mmengine - INFO - Epoch(train) [162][3700/3757] lr: 3.0300e-02 eta: 1 day, 15:24:27 time: 0.4044 data_time: 0.0156 memory: 13431 grad_norm: 3.5545 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4706 loss: 2.4706 2022/08/16 04:32:28 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 04:32:28 - mmengine - INFO - Epoch(train) [162][3757/3757] lr: 3.0300e-02 eta: 1 day, 15:24:11 time: 0.3929 data_time: 0.0149 memory: 13431 grad_norm: 3.6417 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.4697 loss: 2.4697 2022/08/16 04:33:12 - mmengine - INFO - Epoch(train) [163][100/3757] lr: 2.9738e-02 eta: 1 day, 15:23:22 time: 0.4118 data_time: 0.0155 memory: 13431 grad_norm: 3.6669 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2856 loss: 2.2856 2022/08/16 04:33:52 - mmengine - INFO - Epoch(train) [163][200/3757] lr: 2.9738e-02 eta: 1 day, 15:22:42 time: 0.4047 data_time: 0.0162 memory: 13431 grad_norm: 3.6693 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4029 loss: 2.4029 2022/08/16 04:34:33 - mmengine - INFO - Epoch(train) [163][300/3757] lr: 2.9738e-02 eta: 1 day, 15:22:02 time: 0.4075 data_time: 0.0147 memory: 13431 grad_norm: 3.5925 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4612 loss: 2.4612 2022/08/16 04:35:00 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 04:35:14 - mmengine - INFO - Epoch(train) [163][400/3757] lr: 2.9738e-02 eta: 1 day, 15:21:22 time: 0.4039 data_time: 0.0145 memory: 13431 grad_norm: 3.5961 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2611 loss: 2.2611 2022/08/16 04:35:55 - mmengine - INFO - Epoch(train) [163][500/3757] lr: 2.9738e-02 eta: 1 day, 15:20:42 time: 0.4104 data_time: 0.0161 memory: 13431 grad_norm: 3.6425 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2962 loss: 2.2962 2022/08/16 04:36:36 - mmengine - INFO - Epoch(train) [163][600/3757] lr: 2.9738e-02 eta: 1 day, 15:20:02 time: 0.4051 data_time: 0.0150 memory: 13431 grad_norm: 3.5976 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2257 loss: 2.2257 2022/08/16 04:37:17 - mmengine - INFO - Epoch(train) [163][700/3757] lr: 2.9738e-02 eta: 1 day, 15:19:23 time: 0.4042 data_time: 0.0149 memory: 13431 grad_norm: 3.6367 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1234 loss: 2.1234 2022/08/16 04:37:58 - mmengine - INFO - Epoch(train) [163][800/3757] lr: 2.9738e-02 eta: 1 day, 15:18:43 time: 0.4103 data_time: 0.0156 memory: 13431 grad_norm: 3.6730 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3178 loss: 2.3178 2022/08/16 04:38:38 - mmengine - INFO - Epoch(train) [163][900/3757] lr: 2.9738e-02 eta: 1 day, 15:18:03 time: 0.4054 data_time: 0.0154 memory: 13431 grad_norm: 3.5393 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4913 loss: 2.4913 2022/08/16 04:39:19 - mmengine - INFO - Epoch(train) [163][1000/3757] lr: 2.9738e-02 eta: 1 day, 15:17:23 time: 0.4040 data_time: 0.0159 memory: 13431 grad_norm: 3.6259 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3383 loss: 2.3383 2022/08/16 04:40:00 - mmengine - INFO - Epoch(train) [163][1100/3757] lr: 2.9738e-02 eta: 1 day, 15:16:43 time: 0.4070 data_time: 0.0150 memory: 13431 grad_norm: 3.7880 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4987 loss: 2.4987 2022/08/16 04:40:41 - mmengine - INFO - Epoch(train) [163][1200/3757] lr: 2.9738e-02 eta: 1 day, 15:16:03 time: 0.4108 data_time: 0.0156 memory: 13431 grad_norm: 3.5000 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0940 loss: 2.0940 2022/08/16 04:41:22 - mmengine - INFO - Epoch(train) [163][1300/3757] lr: 2.9738e-02 eta: 1 day, 15:15:23 time: 0.4071 data_time: 0.0163 memory: 13431 grad_norm: 3.6720 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4337 loss: 2.4337 2022/08/16 04:41:49 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 04:42:03 - mmengine - INFO - Epoch(train) [163][1400/3757] lr: 2.9738e-02 eta: 1 day, 15:14:44 time: 0.4059 data_time: 0.0155 memory: 13431 grad_norm: 3.5553 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1896 loss: 2.1896 2022/08/16 04:42:43 - mmengine - INFO - Epoch(train) [163][1500/3757] lr: 2.9738e-02 eta: 1 day, 15:14:04 time: 0.4068 data_time: 0.0148 memory: 13431 grad_norm: 3.5851 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6146 loss: 2.6146 2022/08/16 04:43:24 - mmengine - INFO - Epoch(train) [163][1600/3757] lr: 2.9738e-02 eta: 1 day, 15:13:24 time: 0.4028 data_time: 0.0157 memory: 13431 grad_norm: 3.7386 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5676 loss: 2.5676 2022/08/16 04:44:05 - mmengine - INFO - Epoch(train) [163][1700/3757] lr: 2.9738e-02 eta: 1 day, 15:12:44 time: 0.4024 data_time: 0.0153 memory: 13431 grad_norm: 3.6918 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1009 loss: 2.1009 2022/08/16 04:44:46 - mmengine - INFO - Epoch(train) [163][1800/3757] lr: 2.9738e-02 eta: 1 day, 15:12:04 time: 0.4045 data_time: 0.0159 memory: 13431 grad_norm: 3.6447 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3173 loss: 2.3173 2022/08/16 04:45:26 - mmengine - INFO - Epoch(train) [163][1900/3757] lr: 2.9738e-02 eta: 1 day, 15:11:24 time: 0.4040 data_time: 0.0147 memory: 13431 grad_norm: 3.4284 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1204 loss: 2.1204 2022/08/16 04:46:07 - mmengine - INFO - Epoch(train) [163][2000/3757] lr: 2.9738e-02 eta: 1 day, 15:10:44 time: 0.4041 data_time: 0.0149 memory: 13431 grad_norm: 3.6877 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3523 loss: 2.3523 2022/08/16 04:46:48 - mmengine - INFO - Epoch(train) [163][2100/3757] lr: 2.9738e-02 eta: 1 day, 15:10:04 time: 0.4033 data_time: 0.0156 memory: 13431 grad_norm: 3.6573 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4479 loss: 2.4479 2022/08/16 04:47:29 - mmengine - INFO - Epoch(train) [163][2200/3757] lr: 2.9738e-02 eta: 1 day, 15:09:24 time: 0.4106 data_time: 0.0153 memory: 13431 grad_norm: 3.5431 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4780 loss: 2.4780 2022/08/16 04:48:10 - mmengine - INFO - Epoch(train) [163][2300/3757] lr: 2.9738e-02 eta: 1 day, 15:08:44 time: 0.4032 data_time: 0.0163 memory: 13431 grad_norm: 3.5535 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0446 loss: 2.0446 2022/08/16 04:48:37 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 04:48:51 - mmengine - INFO - Epoch(train) [163][2400/3757] lr: 2.9738e-02 eta: 1 day, 15:08:05 time: 0.4063 data_time: 0.0149 memory: 13431 grad_norm: 3.4868 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4652 loss: 2.4652 2022/08/16 04:49:31 - mmengine - INFO - Epoch(train) [163][2500/3757] lr: 2.9738e-02 eta: 1 day, 15:07:25 time: 0.4056 data_time: 0.0153 memory: 13431 grad_norm: 3.5847 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4675 loss: 2.4675 2022/08/16 04:50:12 - mmengine - INFO - Epoch(train) [163][2600/3757] lr: 2.9738e-02 eta: 1 day, 15:06:45 time: 0.4036 data_time: 0.0152 memory: 13431 grad_norm: 3.5242 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.3129 loss: 2.3129 2022/08/16 04:50:53 - mmengine - INFO - Epoch(train) [163][2700/3757] lr: 2.9738e-02 eta: 1 day, 15:06:05 time: 0.4050 data_time: 0.0158 memory: 13431 grad_norm: 3.5973 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4748 loss: 2.4748 2022/08/16 04:51:34 - mmengine - INFO - Epoch(train) [163][2800/3757] lr: 2.9738e-02 eta: 1 day, 15:05:25 time: 0.4056 data_time: 0.0170 memory: 13431 grad_norm: 3.6247 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4534 loss: 2.4534 2022/08/16 04:52:15 - mmengine - INFO - Epoch(train) [163][2900/3757] lr: 2.9738e-02 eta: 1 day, 15:04:45 time: 0.4086 data_time: 0.0146 memory: 13431 grad_norm: 3.5349 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8590 loss: 1.8590 2022/08/16 04:52:55 - mmengine - INFO - Epoch(train) [163][3000/3757] lr: 2.9738e-02 eta: 1 day, 15:04:05 time: 0.4065 data_time: 0.0154 memory: 13431 grad_norm: 3.5035 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4176 loss: 2.4176 2022/08/16 04:53:36 - mmengine - INFO - Epoch(train) [163][3100/3757] lr: 2.9738e-02 eta: 1 day, 15:03:25 time: 0.4068 data_time: 0.0182 memory: 13431 grad_norm: 3.5955 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5195 loss: 2.5195 2022/08/16 04:54:17 - mmengine - INFO - Epoch(train) [163][3200/3757] lr: 2.9738e-02 eta: 1 day, 15:02:45 time: 0.4075 data_time: 0.0155 memory: 13431 grad_norm: 3.5355 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1185 loss: 2.1185 2022/08/16 04:54:58 - mmengine - INFO - Epoch(train) [163][3300/3757] lr: 2.9738e-02 eta: 1 day, 15:02:06 time: 0.4039 data_time: 0.0152 memory: 13431 grad_norm: 3.5994 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4693 loss: 2.4693 2022/08/16 04:55:25 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 04:55:39 - mmengine - INFO - Epoch(train) [163][3400/3757] lr: 2.9738e-02 eta: 1 day, 15:01:26 time: 0.4058 data_time: 0.0156 memory: 13431 grad_norm: 3.7388 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5749 loss: 2.5749 2022/08/16 04:56:20 - mmengine - INFO - Epoch(train) [163][3500/3757] lr: 2.9738e-02 eta: 1 day, 15:00:46 time: 0.4045 data_time: 0.0167 memory: 13431 grad_norm: 3.5141 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2442 loss: 2.2442 2022/08/16 04:57:01 - mmengine - INFO - Epoch(train) [163][3600/3757] lr: 2.9738e-02 eta: 1 day, 15:00:06 time: 0.4103 data_time: 0.0159 memory: 13431 grad_norm: 3.6354 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3496 loss: 2.3496 2022/08/16 04:57:41 - mmengine - INFO - Epoch(train) [163][3700/3757] lr: 2.9738e-02 eta: 1 day, 14:59:26 time: 0.4053 data_time: 0.0159 memory: 13431 grad_norm: 3.5177 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5068 loss: 2.5068 2022/08/16 04:58:04 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 04:58:04 - mmengine - INFO - Epoch(train) [163][3757/3757] lr: 2.9738e-02 eta: 1 day, 14:59:10 time: 0.3931 data_time: 0.0149 memory: 13431 grad_norm: 3.4992 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 2.2441 loss: 2.2441 2022/08/16 04:58:48 - mmengine - INFO - Epoch(train) [164][100/3757] lr: 2.9179e-02 eta: 1 day, 14:58:21 time: 0.4045 data_time: 0.0156 memory: 13431 grad_norm: 3.6082 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4389 loss: 2.4389 2022/08/16 04:59:28 - mmengine - INFO - Epoch(train) [164][200/3757] lr: 2.9179e-02 eta: 1 day, 14:57:41 time: 0.4058 data_time: 0.0146 memory: 13431 grad_norm: 3.5452 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2129 loss: 2.2129 2022/08/16 05:00:09 - mmengine - INFO - Epoch(train) [164][300/3757] lr: 2.9179e-02 eta: 1 day, 14:57:01 time: 0.4118 data_time: 0.0164 memory: 13431 grad_norm: 3.6556 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2169 loss: 2.2169 2022/08/16 05:00:50 - mmengine - INFO - Epoch(train) [164][400/3757] lr: 2.9179e-02 eta: 1 day, 14:56:21 time: 0.4046 data_time: 0.0149 memory: 13431 grad_norm: 3.5674 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3825 loss: 2.3825 2022/08/16 05:01:31 - mmengine - INFO - Epoch(train) [164][500/3757] lr: 2.9179e-02 eta: 1 day, 14:55:41 time: 0.4057 data_time: 0.0159 memory: 13431 grad_norm: 3.6497 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2718 loss: 2.2718 2022/08/16 05:02:11 - mmengine - INFO - Epoch(train) [164][600/3757] lr: 2.9179e-02 eta: 1 day, 14:55:01 time: 0.4022 data_time: 0.0153 memory: 13431 grad_norm: 3.4743 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1736 loss: 2.1736 2022/08/16 05:02:15 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 05:02:52 - mmengine - INFO - Epoch(train) [164][700/3757] lr: 2.9179e-02 eta: 1 day, 14:54:21 time: 0.4037 data_time: 0.0149 memory: 13431 grad_norm: 3.7370 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3110 loss: 2.3110 2022/08/16 05:03:33 - mmengine - INFO - Epoch(train) [164][800/3757] lr: 2.9179e-02 eta: 1 day, 14:53:42 time: 0.4058 data_time: 0.0150 memory: 13431 grad_norm: 3.5827 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1350 loss: 2.1350 2022/08/16 05:04:14 - mmengine - INFO - Epoch(train) [164][900/3757] lr: 2.9179e-02 eta: 1 day, 14:53:02 time: 0.4100 data_time: 0.0153 memory: 13431 grad_norm: 3.7301 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2182 loss: 2.2182 2022/08/16 05:04:55 - mmengine - INFO - Epoch(train) [164][1000/3757] lr: 2.9179e-02 eta: 1 day, 14:52:22 time: 0.4141 data_time: 0.0152 memory: 13431 grad_norm: 3.6974 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3876 loss: 2.3876 2022/08/16 05:05:36 - mmengine - INFO - Epoch(train) [164][1100/3757] lr: 2.9179e-02 eta: 1 day, 14:51:42 time: 0.4032 data_time: 0.0158 memory: 13431 grad_norm: 3.5917 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2686 loss: 2.2686 2022/08/16 05:06:16 - mmengine - INFO - Epoch(train) [164][1200/3757] lr: 2.9179e-02 eta: 1 day, 14:51:02 time: 0.4027 data_time: 0.0146 memory: 13431 grad_norm: 3.5610 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3094 loss: 2.3094 2022/08/16 05:06:57 - mmengine - INFO - Epoch(train) [164][1300/3757] lr: 2.9179e-02 eta: 1 day, 14:50:22 time: 0.4032 data_time: 0.0147 memory: 13431 grad_norm: 3.6366 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4960 loss: 2.4960 2022/08/16 05:07:38 - mmengine - INFO - Epoch(train) [164][1400/3757] lr: 2.9179e-02 eta: 1 day, 14:49:42 time: 0.4140 data_time: 0.0150 memory: 13431 grad_norm: 3.7307 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.2697 loss: 2.2697 2022/08/16 05:08:19 - mmengine - INFO - Epoch(train) [164][1500/3757] lr: 2.9179e-02 eta: 1 day, 14:49:02 time: 0.4087 data_time: 0.0156 memory: 13431 grad_norm: 3.5575 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1583 loss: 2.1583 2022/08/16 05:09:00 - mmengine - INFO - Epoch(train) [164][1600/3757] lr: 2.9179e-02 eta: 1 day, 14:48:22 time: 0.4130 data_time: 0.0151 memory: 13431 grad_norm: 3.5500 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2119 loss: 2.2119 2022/08/16 05:09:04 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 05:09:41 - mmengine - INFO - Epoch(train) [164][1700/3757] lr: 2.9179e-02 eta: 1 day, 14:47:43 time: 0.4102 data_time: 0.0165 memory: 13431 grad_norm: 3.7129 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.5310 loss: 2.5310 2022/08/16 05:10:21 - mmengine - INFO - Epoch(train) [164][1800/3757] lr: 2.9179e-02 eta: 1 day, 14:47:03 time: 0.4042 data_time: 0.0143 memory: 13431 grad_norm: 3.5914 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8317 loss: 1.8317 2022/08/16 05:11:02 - mmengine - INFO - Epoch(train) [164][1900/3757] lr: 2.9179e-02 eta: 1 day, 14:46:23 time: 0.4023 data_time: 0.0158 memory: 13431 grad_norm: 3.7247 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0864 loss: 2.0864 2022/08/16 05:11:43 - mmengine - INFO - Epoch(train) [164][2000/3757] lr: 2.9179e-02 eta: 1 day, 14:45:43 time: 0.4059 data_time: 0.0149 memory: 13431 grad_norm: 3.7263 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0970 loss: 2.0970 2022/08/16 05:12:24 - mmengine - INFO - Epoch(train) [164][2100/3757] lr: 2.9179e-02 eta: 1 day, 14:45:03 time: 0.4081 data_time: 0.0152 memory: 13431 grad_norm: 3.6558 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9298 loss: 1.9298 2022/08/16 05:13:05 - mmengine - INFO - Epoch(train) [164][2200/3757] lr: 2.9179e-02 eta: 1 day, 14:44:23 time: 0.4048 data_time: 0.0151 memory: 13431 grad_norm: 3.6697 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0807 loss: 2.0807 2022/08/16 05:13:45 - mmengine - INFO - Epoch(train) [164][2300/3757] lr: 2.9179e-02 eta: 1 day, 14:43:43 time: 0.4157 data_time: 0.0166 memory: 13431 grad_norm: 3.6705 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5321 loss: 2.5321 2022/08/16 05:14:26 - mmengine - INFO - Epoch(train) [164][2400/3757] lr: 2.9179e-02 eta: 1 day, 14:43:03 time: 0.4085 data_time: 0.0147 memory: 13431 grad_norm: 3.7210 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 2.3026 loss: 2.3026 2022/08/16 05:15:07 - mmengine - INFO - Epoch(train) [164][2500/3757] lr: 2.9179e-02 eta: 1 day, 14:42:24 time: 0.4030 data_time: 0.0147 memory: 13431 grad_norm: 3.5700 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4391 loss: 2.4391 2022/08/16 05:15:48 - mmengine - INFO - Epoch(train) [164][2600/3757] lr: 2.9179e-02 eta: 1 day, 14:41:44 time: 0.4031 data_time: 0.0153 memory: 13431 grad_norm: 3.5578 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4227 loss: 2.4227 2022/08/16 05:15:52 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 05:16:29 - mmengine - INFO - Epoch(train) [164][2700/3757] lr: 2.9179e-02 eta: 1 day, 14:41:04 time: 0.4048 data_time: 0.0157 memory: 13431 grad_norm: 3.5883 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5386 loss: 2.5386 2022/08/16 05:17:09 - mmengine - INFO - Epoch(train) [164][2800/3757] lr: 2.9179e-02 eta: 1 day, 14:40:24 time: 0.4057 data_time: 0.0165 memory: 13431 grad_norm: 3.5874 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4085 loss: 2.4085 2022/08/16 05:17:50 - mmengine - INFO - Epoch(train) [164][2900/3757] lr: 2.9179e-02 eta: 1 day, 14:39:44 time: 0.4064 data_time: 0.0155 memory: 13431 grad_norm: 3.6528 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4030 loss: 2.4030 2022/08/16 05:18:31 - mmengine - INFO - Epoch(train) [164][3000/3757] lr: 2.9179e-02 eta: 1 day, 14:39:04 time: 0.4063 data_time: 0.0166 memory: 13431 grad_norm: 3.5921 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6599 loss: 2.6599 2022/08/16 05:19:12 - mmengine - INFO - Epoch(train) [164][3100/3757] lr: 2.9179e-02 eta: 1 day, 14:38:24 time: 0.4081 data_time: 0.0147 memory: 13431 grad_norm: 3.6918 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2852 loss: 2.2852 2022/08/16 05:19:53 - mmengine - INFO - Epoch(train) [164][3200/3757] lr: 2.9179e-02 eta: 1 day, 14:37:44 time: 0.4076 data_time: 0.0153 memory: 13431 grad_norm: 3.5825 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0484 loss: 2.0484 2022/08/16 05:20:34 - mmengine - INFO - Epoch(train) [164][3300/3757] lr: 2.9179e-02 eta: 1 day, 14:37:04 time: 0.4073 data_time: 0.0146 memory: 13431 grad_norm: 3.7345 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4322 loss: 2.4322 2022/08/16 05:21:15 - mmengine - INFO - Epoch(train) [164][3400/3757] lr: 2.9179e-02 eta: 1 day, 14:36:24 time: 0.4059 data_time: 0.0150 memory: 13431 grad_norm: 3.6229 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2326 loss: 2.2326 2022/08/16 05:21:55 - mmengine - INFO - Epoch(train) [164][3500/3757] lr: 2.9179e-02 eta: 1 day, 14:35:44 time: 0.4062 data_time: 0.0147 memory: 13431 grad_norm: 3.6364 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3799 loss: 2.3799 2022/08/16 05:22:37 - mmengine - INFO - Epoch(train) [164][3600/3757] lr: 2.9179e-02 eta: 1 day, 14:35:05 time: 0.4050 data_time: 0.0165 memory: 13431 grad_norm: 3.5813 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5201 loss: 2.5201 2022/08/16 05:22:40 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 05:23:17 - mmengine - INFO - Epoch(train) [164][3700/3757] lr: 2.9179e-02 eta: 1 day, 14:34:25 time: 0.4080 data_time: 0.0149 memory: 13431 grad_norm: 3.5879 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1679 loss: 2.1679 2022/08/16 05:23:40 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 05:23:40 - mmengine - INFO - Epoch(train) [164][3757/3757] lr: 2.9179e-02 eta: 1 day, 14:34:09 time: 0.3933 data_time: 0.0139 memory: 13431 grad_norm: 3.6660 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 1.7820 loss: 1.7820 2022/08/16 05:23:41 - mmengine - INFO - Saving checkpoint at 164 epochs 2022/08/16 05:24:28 - mmengine - INFO - Epoch(train) [165][100/3757] lr: 2.8622e-02 eta: 1 day, 14:33:19 time: 0.4044 data_time: 0.0147 memory: 13431 grad_norm: 3.7608 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3998 loss: 2.3998 2022/08/16 05:25:09 - mmengine - INFO - Epoch(train) [165][200/3757] lr: 2.8622e-02 eta: 1 day, 14:32:39 time: 0.4024 data_time: 0.0149 memory: 13431 grad_norm: 3.6085 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3972 loss: 2.3972 2022/08/16 05:25:50 - mmengine - INFO - Epoch(train) [165][300/3757] lr: 2.8622e-02 eta: 1 day, 14:32:00 time: 0.4088 data_time: 0.0139 memory: 13431 grad_norm: 3.7109 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5803 loss: 2.5803 2022/08/16 05:26:31 - mmengine - INFO - Epoch(train) [165][400/3757] lr: 2.8622e-02 eta: 1 day, 14:31:20 time: 0.4043 data_time: 0.0151 memory: 13431 grad_norm: 3.5741 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4448 loss: 2.4448 2022/08/16 05:27:12 - mmengine - INFO - Epoch(train) [165][500/3757] lr: 2.8622e-02 eta: 1 day, 14:30:40 time: 0.4102 data_time: 0.0148 memory: 13431 grad_norm: 3.5925 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2743 loss: 2.2743 2022/08/16 05:27:52 - mmengine - INFO - Epoch(train) [165][600/3757] lr: 2.8622e-02 eta: 1 day, 14:30:00 time: 0.4035 data_time: 0.0166 memory: 13431 grad_norm: 3.6287 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2957 loss: 2.2957 2022/08/16 05:28:33 - mmengine - INFO - Epoch(train) [165][700/3757] lr: 2.8622e-02 eta: 1 day, 14:29:20 time: 0.4057 data_time: 0.0154 memory: 13431 grad_norm: 3.5980 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3094 loss: 2.3094 2022/08/16 05:29:14 - mmengine - INFO - Epoch(train) [165][800/3757] lr: 2.8622e-02 eta: 1 day, 14:28:40 time: 0.4047 data_time: 0.0148 memory: 13431 grad_norm: 3.5907 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2325 loss: 2.2325 2022/08/16 05:29:35 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 05:29:55 - mmengine - INFO - Epoch(train) [165][900/3757] lr: 2.8622e-02 eta: 1 day, 14:28:00 time: 0.4044 data_time: 0.0152 memory: 13431 grad_norm: 3.7075 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2590 loss: 2.2590 2022/08/16 05:30:36 - mmengine - INFO - Epoch(train) [165][1000/3757] lr: 2.8622e-02 eta: 1 day, 14:27:20 time: 0.4025 data_time: 0.0155 memory: 13431 grad_norm: 3.6267 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4877 loss: 2.4877 2022/08/16 05:31:16 - mmengine - INFO - Epoch(train) [165][1100/3757] lr: 2.8622e-02 eta: 1 day, 14:26:40 time: 0.4022 data_time: 0.0149 memory: 13431 grad_norm: 3.7879 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5312 loss: 2.5312 2022/08/16 05:31:57 - mmengine - INFO - Epoch(train) [165][1200/3757] lr: 2.8622e-02 eta: 1 day, 14:26:00 time: 0.4103 data_time: 0.0150 memory: 13431 grad_norm: 3.6554 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2517 loss: 2.2517 2022/08/16 05:32:38 - mmengine - INFO - Epoch(train) [165][1300/3757] lr: 2.8622e-02 eta: 1 day, 14:25:20 time: 0.4038 data_time: 0.0157 memory: 13431 grad_norm: 3.6409 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4540 loss: 2.4540 2022/08/16 05:33:19 - mmengine - INFO - Epoch(train) [165][1400/3757] lr: 2.8622e-02 eta: 1 day, 14:24:41 time: 0.4042 data_time: 0.0150 memory: 13431 grad_norm: 3.6089 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8898 loss: 1.8898 2022/08/16 05:34:00 - mmengine - INFO - Epoch(train) [165][1500/3757] lr: 2.8622e-02 eta: 1 day, 14:24:01 time: 0.4038 data_time: 0.0157 memory: 13431 grad_norm: 3.6508 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1650 loss: 2.1650 2022/08/16 05:34:41 - mmengine - INFO - Epoch(train) [165][1600/3757] lr: 2.8622e-02 eta: 1 day, 14:23:21 time: 0.4093 data_time: 0.0157 memory: 13431 grad_norm: 3.5634 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2500 loss: 2.2500 2022/08/16 05:35:22 - mmengine - INFO - Epoch(train) [165][1700/3757] lr: 2.8622e-02 eta: 1 day, 14:22:41 time: 0.4052 data_time: 0.0156 memory: 13431 grad_norm: 3.7366 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2120 loss: 2.2120 2022/08/16 05:36:03 - mmengine - INFO - Epoch(train) [165][1800/3757] lr: 2.8622e-02 eta: 1 day, 14:22:01 time: 0.4055 data_time: 0.0148 memory: 13431 grad_norm: 3.6296 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4187 loss: 2.4187 2022/08/16 05:36:24 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 05:36:44 - mmengine - INFO - Epoch(train) [165][1900/3757] lr: 2.8622e-02 eta: 1 day, 14:21:21 time: 0.4090 data_time: 0.0152 memory: 13431 grad_norm: 3.6948 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0494 loss: 2.0494 2022/08/16 05:37:24 - mmengine - INFO - Epoch(train) [165][2000/3757] lr: 2.8622e-02 eta: 1 day, 14:20:42 time: 0.4065 data_time: 0.0162 memory: 13431 grad_norm: 3.6082 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2675 loss: 2.2675 2022/08/16 05:38:05 - mmengine - INFO - Epoch(train) [165][2100/3757] lr: 2.8622e-02 eta: 1 day, 14:20:02 time: 0.4041 data_time: 0.0153 memory: 13431 grad_norm: 3.7284 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3521 loss: 2.3521 2022/08/16 05:38:46 - mmengine - INFO - Epoch(train) [165][2200/3757] lr: 2.8622e-02 eta: 1 day, 14:19:22 time: 0.4050 data_time: 0.0157 memory: 13431 grad_norm: 3.5782 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.1422 loss: 2.1422 2022/08/16 05:39:27 - mmengine - INFO - Epoch(train) [165][2300/3757] lr: 2.8622e-02 eta: 1 day, 14:18:42 time: 0.4079 data_time: 0.0161 memory: 13431 grad_norm: 3.6405 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4917 loss: 2.4917 2022/08/16 05:40:08 - mmengine - INFO - Epoch(train) [165][2400/3757] lr: 2.8622e-02 eta: 1 day, 14:18:02 time: 0.4054 data_time: 0.0148 memory: 13431 grad_norm: 3.6427 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9250 loss: 1.9250 2022/08/16 05:40:49 - mmengine - INFO - Epoch(train) [165][2500/3757] lr: 2.8622e-02 eta: 1 day, 14:17:22 time: 0.4055 data_time: 0.0162 memory: 13431 grad_norm: 3.7410 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3148 loss: 2.3148 2022/08/16 05:41:30 - mmengine - INFO - Epoch(train) [165][2600/3757] lr: 2.8622e-02 eta: 1 day, 14:16:42 time: 0.4081 data_time: 0.0168 memory: 13431 grad_norm: 3.7654 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2799 loss: 2.2799 2022/08/16 05:42:10 - mmengine - INFO - Epoch(train) [165][2700/3757] lr: 2.8622e-02 eta: 1 day, 14:16:02 time: 0.4048 data_time: 0.0140 memory: 13431 grad_norm: 3.4453 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9274 loss: 1.9274 2022/08/16 05:42:51 - mmengine - INFO - Epoch(train) [165][2800/3757] lr: 2.8622e-02 eta: 1 day, 14:15:22 time: 0.4033 data_time: 0.0152 memory: 13431 grad_norm: 3.6789 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1424 loss: 2.1424 2022/08/16 05:43:12 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 05:43:32 - mmengine - INFO - Epoch(train) [165][2900/3757] lr: 2.8622e-02 eta: 1 day, 14:14:43 time: 0.4050 data_time: 0.0151 memory: 13431 grad_norm: 3.6535 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6841 loss: 2.6841 2022/08/16 05:44:13 - mmengine - INFO - Epoch(train) [165][3000/3757] lr: 2.8622e-02 eta: 1 day, 14:14:03 time: 0.4036 data_time: 0.0163 memory: 13431 grad_norm: 3.5030 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3124 loss: 2.3124 2022/08/16 05:44:53 - mmengine - INFO - Epoch(train) [165][3100/3757] lr: 2.8622e-02 eta: 1 day, 14:13:23 time: 0.4034 data_time: 0.0159 memory: 13431 grad_norm: 3.6030 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3731 loss: 2.3731 2022/08/16 05:45:34 - mmengine - INFO - Epoch(train) [165][3200/3757] lr: 2.8622e-02 eta: 1 day, 14:12:43 time: 0.4054 data_time: 0.0180 memory: 13431 grad_norm: 3.5918 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9906 loss: 1.9906 2022/08/16 05:46:15 - mmengine - INFO - Epoch(train) [165][3300/3757] lr: 2.8622e-02 eta: 1 day, 14:12:03 time: 0.4119 data_time: 0.0163 memory: 13431 grad_norm: 3.7952 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1719 loss: 2.1719 2022/08/16 05:46:56 - mmengine - INFO - Epoch(train) [165][3400/3757] lr: 2.8622e-02 eta: 1 day, 14:11:23 time: 0.4043 data_time: 0.0150 memory: 13431 grad_norm: 3.5766 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2420 loss: 2.2420 2022/08/16 05:47:37 - mmengine - INFO - Epoch(train) [165][3500/3757] lr: 2.8622e-02 eta: 1 day, 14:10:43 time: 0.4034 data_time: 0.0152 memory: 13431 grad_norm: 3.5944 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2297 loss: 2.2297 2022/08/16 05:48:18 - mmengine - INFO - Epoch(train) [165][3600/3757] lr: 2.8622e-02 eta: 1 day, 14:10:03 time: 0.4056 data_time: 0.0164 memory: 13431 grad_norm: 3.6233 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1957 loss: 2.1957 2022/08/16 05:48:58 - mmengine - INFO - Epoch(train) [165][3700/3757] lr: 2.8622e-02 eta: 1 day, 14:09:23 time: 0.4051 data_time: 0.0159 memory: 13431 grad_norm: 3.7146 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3051 loss: 2.3051 2022/08/16 05:49:21 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 05:49:21 - mmengine - INFO - Epoch(train) [165][3757/3757] lr: 2.8622e-02 eta: 1 day, 14:09:07 time: 0.3906 data_time: 0.0145 memory: 13431 grad_norm: 3.6078 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 2.3565 loss: 2.3565 2022/08/16 05:49:43 - mmengine - INFO - Epoch(val) [165][100/310] eta: 0:00:43 time: 0.2066 data_time: 0.0762 memory: 1974 2022/08/16 05:50:05 - mmengine - INFO - Epoch(val) [165][200/310] eta: 0:00:20 time: 0.1898 data_time: 0.0618 memory: 1974 2022/08/16 05:50:26 - mmengine - INFO - Epoch(val) [165][300/310] eta: 0:00:02 time: 0.2222 data_time: 0.0950 memory: 1974 2022/08/16 05:50:30 - mmengine - INFO - Epoch(val) [165][310/310] acc/top1: 0.5364 acc/top5: 0.7878 acc/mean1: 0.5364 2022/08/16 05:50:30 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_161.pth is removed 2022/08/16 05:50:34 - mmengine - INFO - The best checkpoint with 0.5364 acc/top1 at 166 epoch is saved to best_acc/top1_epoch_166.pth. 2022/08/16 05:51:14 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 05:51:16 - mmengine - INFO - Epoch(train) [166][100/3757] lr: 2.8069e-02 eta: 1 day, 14:08:17 time: 0.4114 data_time: 0.0161 memory: 13431 grad_norm: 3.6563 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4812 loss: 2.4812 2022/08/16 05:51:57 - mmengine - INFO - Epoch(train) [166][200/3757] lr: 2.8069e-02 eta: 1 day, 14:07:38 time: 0.4086 data_time: 0.0161 memory: 13431 grad_norm: 3.6824 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2354 loss: 2.2354 2022/08/16 05:52:38 - mmengine - INFO - Epoch(train) [166][300/3757] lr: 2.8069e-02 eta: 1 day, 14:06:58 time: 0.4127 data_time: 0.0157 memory: 13431 grad_norm: 3.7091 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0383 loss: 2.0383 2022/08/16 05:53:18 - mmengine - INFO - Epoch(train) [166][400/3757] lr: 2.8069e-02 eta: 1 day, 14:06:18 time: 0.4170 data_time: 0.0149 memory: 13431 grad_norm: 3.6816 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4657 loss: 2.4657 2022/08/16 05:53:59 - mmengine - INFO - Epoch(train) [166][500/3757] lr: 2.8069e-02 eta: 1 day, 14:05:38 time: 0.4032 data_time: 0.0142 memory: 13431 grad_norm: 3.6503 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1504 loss: 2.1504 2022/08/16 05:54:40 - mmengine - INFO - Epoch(train) [166][600/3757] lr: 2.8069e-02 eta: 1 day, 14:04:58 time: 0.4121 data_time: 0.0177 memory: 13431 grad_norm: 3.7121 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2425 loss: 2.2425 2022/08/16 05:55:21 - mmengine - INFO - Epoch(train) [166][700/3757] lr: 2.8069e-02 eta: 1 day, 14:04:18 time: 0.4056 data_time: 0.0149 memory: 13431 grad_norm: 3.6525 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2367 loss: 2.2367 2022/08/16 05:56:02 - mmengine - INFO - Epoch(train) [166][800/3757] lr: 2.8069e-02 eta: 1 day, 14:03:38 time: 0.4121 data_time: 0.0162 memory: 13431 grad_norm: 3.6033 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0104 loss: 2.0104 2022/08/16 05:56:43 - mmengine - INFO - Epoch(train) [166][900/3757] lr: 2.8069e-02 eta: 1 day, 14:02:58 time: 0.4053 data_time: 0.0161 memory: 13431 grad_norm: 3.6869 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3670 loss: 2.3670 2022/08/16 05:57:24 - mmengine - INFO - Epoch(train) [166][1000/3757] lr: 2.8069e-02 eta: 1 day, 14:02:19 time: 0.4163 data_time: 0.0152 memory: 13431 grad_norm: 3.6288 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3809 loss: 2.3809 2022/08/16 05:58:03 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 05:58:05 - mmengine - INFO - Epoch(train) [166][1100/3757] lr: 2.8069e-02 eta: 1 day, 14:01:39 time: 0.4153 data_time: 0.0152 memory: 13431 grad_norm: 3.7297 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2629 loss: 2.2629 2022/08/16 05:58:45 - mmengine - INFO - Epoch(train) [166][1200/3757] lr: 2.8069e-02 eta: 1 day, 14:00:59 time: 0.4023 data_time: 0.0159 memory: 13431 grad_norm: 3.7728 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4135 loss: 2.4135 2022/08/16 05:59:26 - mmengine - INFO - Epoch(train) [166][1300/3757] lr: 2.8069e-02 eta: 1 day, 14:00:19 time: 0.4028 data_time: 0.0149 memory: 13431 grad_norm: 3.6609 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2757 loss: 2.2757 2022/08/16 06:00:10 - mmengine - INFO - Epoch(train) [166][1400/3757] lr: 2.8069e-02 eta: 1 day, 13:59:41 time: 0.5774 data_time: 0.0246 memory: 13431 grad_norm: 3.6265 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8599 loss: 1.8599 2022/08/16 06:00:51 - mmengine - INFO - Epoch(train) [166][1500/3757] lr: 2.8069e-02 eta: 1 day, 13:59:01 time: 0.4096 data_time: 0.0157 memory: 13431 grad_norm: 3.7154 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4210 loss: 2.4210 2022/08/16 06:01:32 - mmengine - INFO - Epoch(train) [166][1600/3757] lr: 2.8069e-02 eta: 1 day, 13:58:21 time: 0.4032 data_time: 0.0149 memory: 13431 grad_norm: 3.5764 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3928 loss: 2.3928 2022/08/16 06:02:13 - mmengine - INFO - Epoch(train) [166][1700/3757] lr: 2.8069e-02 eta: 1 day, 13:57:41 time: 0.4161 data_time: 0.0145 memory: 13431 grad_norm: 3.7285 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3744 loss: 2.3744 2022/08/16 06:02:54 - mmengine - INFO - Epoch(train) [166][1800/3757] lr: 2.8069e-02 eta: 1 day, 13:57:01 time: 0.4145 data_time: 0.0171 memory: 13431 grad_norm: 3.6345 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3464 loss: 2.3464 2022/08/16 06:03:35 - mmengine - INFO - Epoch(train) [166][1900/3757] lr: 2.8069e-02 eta: 1 day, 13:56:21 time: 0.4047 data_time: 0.0161 memory: 13431 grad_norm: 3.5616 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.4253 loss: 2.4253 2022/08/16 06:04:16 - mmengine - INFO - Epoch(train) [166][2000/3757] lr: 2.8069e-02 eta: 1 day, 13:55:42 time: 0.4070 data_time: 0.0164 memory: 13431 grad_norm: 3.6751 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0061 loss: 2.0061 2022/08/16 06:04:55 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 06:04:57 - mmengine - INFO - Epoch(train) [166][2100/3757] lr: 2.8069e-02 eta: 1 day, 13:55:02 time: 0.4063 data_time: 0.0172 memory: 13431 grad_norm: 3.7746 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5904 loss: 2.5904 2022/08/16 06:05:38 - mmengine - INFO - Epoch(train) [166][2200/3757] lr: 2.8069e-02 eta: 1 day, 13:54:22 time: 0.4115 data_time: 0.0153 memory: 13431 grad_norm: 3.6143 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2394 loss: 2.2394 2022/08/16 06:06:19 - mmengine - INFO - Epoch(train) [166][2300/3757] lr: 2.8069e-02 eta: 1 day, 13:53:42 time: 0.4080 data_time: 0.0145 memory: 13431 grad_norm: 3.7821 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3687 loss: 2.3687 2022/08/16 06:06:59 - mmengine - INFO - Epoch(train) [166][2400/3757] lr: 2.8069e-02 eta: 1 day, 13:53:02 time: 0.4132 data_time: 0.0163 memory: 13431 grad_norm: 3.7593 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3205 loss: 2.3205 2022/08/16 06:07:40 - mmengine - INFO - Epoch(train) [166][2500/3757] lr: 2.8069e-02 eta: 1 day, 13:52:22 time: 0.4161 data_time: 0.0157 memory: 13431 grad_norm: 3.7309 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2368 loss: 2.2368 2022/08/16 06:08:21 - mmengine - INFO - Epoch(train) [166][2600/3757] lr: 2.8069e-02 eta: 1 day, 13:51:42 time: 0.4101 data_time: 0.0154 memory: 13431 grad_norm: 3.7296 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4161 loss: 2.4161 2022/08/16 06:09:02 - mmengine - INFO - Epoch(train) [166][2700/3757] lr: 2.8069e-02 eta: 1 day, 13:51:02 time: 0.4036 data_time: 0.0154 memory: 13431 grad_norm: 3.6915 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3257 loss: 2.3257 2022/08/16 06:09:43 - mmengine - INFO - Epoch(train) [166][2800/3757] lr: 2.8069e-02 eta: 1 day, 13:50:22 time: 0.4044 data_time: 0.0159 memory: 13431 grad_norm: 3.7804 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5016 loss: 2.5016 2022/08/16 06:10:23 - mmengine - INFO - Epoch(train) [166][2900/3757] lr: 2.8069e-02 eta: 1 day, 13:49:43 time: 0.4072 data_time: 0.0147 memory: 13431 grad_norm: 3.7718 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0860 loss: 2.0860 2022/08/16 06:11:04 - mmengine - INFO - Epoch(train) [166][3000/3757] lr: 2.8069e-02 eta: 1 day, 13:49:03 time: 0.4046 data_time: 0.0155 memory: 13431 grad_norm: 3.5366 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3066 loss: 2.3066 2022/08/16 06:11:43 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 06:11:45 - mmengine - INFO - Epoch(train) [166][3100/3757] lr: 2.8069e-02 eta: 1 day, 13:48:23 time: 0.4114 data_time: 0.0148 memory: 13431 grad_norm: 3.6047 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2314 loss: 2.2314 2022/08/16 06:12:26 - mmengine - INFO - Epoch(train) [166][3200/3757] lr: 2.8069e-02 eta: 1 day, 13:47:43 time: 0.4149 data_time: 0.0150 memory: 13431 grad_norm: 3.5599 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3345 loss: 2.3345 2022/08/16 06:13:07 - mmengine - INFO - Epoch(train) [166][3300/3757] lr: 2.8069e-02 eta: 1 day, 13:47:03 time: 0.4036 data_time: 0.0149 memory: 13431 grad_norm: 3.7192 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8115 loss: 2.8115 2022/08/16 06:13:48 - mmengine - INFO - Epoch(train) [166][3400/3757] lr: 2.8069e-02 eta: 1 day, 13:46:23 time: 0.4031 data_time: 0.0152 memory: 13431 grad_norm: 3.7486 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6049 loss: 2.6049 2022/08/16 06:14:29 - mmengine - INFO - Epoch(train) [166][3500/3757] lr: 2.8069e-02 eta: 1 day, 13:45:43 time: 0.4049 data_time: 0.0162 memory: 13431 grad_norm: 3.6169 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2904 loss: 2.2904 2022/08/16 06:15:09 - mmengine - INFO - Epoch(train) [166][3600/3757] lr: 2.8069e-02 eta: 1 day, 13:45:03 time: 0.4127 data_time: 0.0142 memory: 13431 grad_norm: 3.7780 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8918 loss: 1.8918 2022/08/16 06:15:50 - mmengine - INFO - Epoch(train) [166][3700/3757] lr: 2.8069e-02 eta: 1 day, 13:44:23 time: 0.4064 data_time: 0.0148 memory: 13431 grad_norm: 3.6526 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3527 loss: 2.3527 2022/08/16 06:16:13 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 06:16:13 - mmengine - INFO - Epoch(train) [166][3757/3757] lr: 2.8069e-02 eta: 1 day, 13:44:07 time: 0.3902 data_time: 0.0139 memory: 13431 grad_norm: 3.5361 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 2.1583 loss: 2.1583 2022/08/16 06:16:56 - mmengine - INFO - Epoch(train) [167][100/3757] lr: 2.7519e-02 eta: 1 day, 13:43:18 time: 0.4060 data_time: 0.0157 memory: 13431 grad_norm: 3.7545 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1028 loss: 2.1028 2022/08/16 06:17:37 - mmengine - INFO - Epoch(train) [167][200/3757] lr: 2.7519e-02 eta: 1 day, 13:42:38 time: 0.4060 data_time: 0.0144 memory: 13431 grad_norm: 3.7185 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3566 loss: 2.3566 2022/08/16 06:18:18 - mmengine - INFO - Epoch(train) [167][300/3757] lr: 2.7519e-02 eta: 1 day, 13:41:58 time: 0.4096 data_time: 0.0145 memory: 13431 grad_norm: 3.7343 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2658 loss: 2.2658 2022/08/16 06:18:34 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 06:18:59 - mmengine - INFO - Epoch(train) [167][400/3757] lr: 2.7519e-02 eta: 1 day, 13:41:19 time: 0.4085 data_time: 0.0163 memory: 13431 grad_norm: 3.7501 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5670 loss: 2.5670 2022/08/16 06:19:40 - mmengine - INFO - Epoch(train) [167][500/3757] lr: 2.7519e-02 eta: 1 day, 13:40:39 time: 0.4039 data_time: 0.0152 memory: 13431 grad_norm: 3.6522 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1268 loss: 2.1268 2022/08/16 06:20:21 - mmengine - INFO - Epoch(train) [167][600/3757] lr: 2.7519e-02 eta: 1 day, 13:39:59 time: 0.4075 data_time: 0.0147 memory: 13431 grad_norm: 3.7127 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4577 loss: 2.4577 2022/08/16 06:21:01 - mmengine - INFO - Epoch(train) [167][700/3757] lr: 2.7519e-02 eta: 1 day, 13:39:19 time: 0.4032 data_time: 0.0145 memory: 13431 grad_norm: 3.7589 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4412 loss: 2.4412 2022/08/16 06:21:42 - mmengine - INFO - Epoch(train) [167][800/3757] lr: 2.7519e-02 eta: 1 day, 13:38:39 time: 0.4059 data_time: 0.0144 memory: 13431 grad_norm: 3.6537 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7009 loss: 2.7009 2022/08/16 06:22:24 - mmengine - INFO - Epoch(train) [167][900/3757] lr: 2.7519e-02 eta: 1 day, 13:37:59 time: 0.4057 data_time: 0.0151 memory: 13431 grad_norm: 3.7855 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5481 loss: 2.5481 2022/08/16 06:23:04 - mmengine - INFO - Epoch(train) [167][1000/3757] lr: 2.7519e-02 eta: 1 day, 13:37:19 time: 0.4062 data_time: 0.0167 memory: 13431 grad_norm: 3.9066 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1926 loss: 2.1926 2022/08/16 06:23:46 - mmengine - INFO - Epoch(train) [167][1100/3757] lr: 2.7519e-02 eta: 1 day, 13:36:40 time: 0.4049 data_time: 0.0156 memory: 13431 grad_norm: 3.7905 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4798 loss: 2.4798 2022/08/16 06:24:26 - mmengine - INFO - Epoch(train) [167][1200/3757] lr: 2.7519e-02 eta: 1 day, 13:36:00 time: 0.4088 data_time: 0.0165 memory: 13431 grad_norm: 3.6293 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2210 loss: 2.2210 2022/08/16 06:25:07 - mmengine - INFO - Epoch(train) [167][1300/3757] lr: 2.7519e-02 eta: 1 day, 13:35:20 time: 0.4036 data_time: 0.0154 memory: 13431 grad_norm: 3.6558 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.2014 loss: 2.2014 2022/08/16 06:25:23 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 06:25:48 - mmengine - INFO - Epoch(train) [167][1400/3757] lr: 2.7519e-02 eta: 1 day, 13:34:40 time: 0.4059 data_time: 0.0150 memory: 13431 grad_norm: 3.8941 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.3387 loss: 2.3387 2022/08/16 06:26:29 - mmengine - INFO - Epoch(train) [167][1500/3757] lr: 2.7519e-02 eta: 1 day, 13:34:00 time: 0.4041 data_time: 0.0149 memory: 13431 grad_norm: 3.7668 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2134 loss: 2.2134 2022/08/16 06:27:10 - mmengine - INFO - Epoch(train) [167][1600/3757] lr: 2.7519e-02 eta: 1 day, 13:33:20 time: 0.4069 data_time: 0.0148 memory: 13431 grad_norm: 3.6413 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1499 loss: 2.1499 2022/08/16 06:27:51 - mmengine - INFO - Epoch(train) [167][1700/3757] lr: 2.7519e-02 eta: 1 day, 13:32:40 time: 0.4050 data_time: 0.0149 memory: 13431 grad_norm: 3.6466 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3719 loss: 2.3719 2022/08/16 06:28:32 - mmengine - INFO - Epoch(train) [167][1800/3757] lr: 2.7519e-02 eta: 1 day, 13:32:01 time: 0.4071 data_time: 0.0157 memory: 13431 grad_norm: 3.6577 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3332 loss: 2.3332 2022/08/16 06:29:13 - mmengine - INFO - Epoch(train) [167][1900/3757] lr: 2.7519e-02 eta: 1 day, 13:31:21 time: 0.4045 data_time: 0.0155 memory: 13431 grad_norm: 3.7436 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2688 loss: 2.2688 2022/08/16 06:29:54 - mmengine - INFO - Epoch(train) [167][2000/3757] lr: 2.7519e-02 eta: 1 day, 13:30:41 time: 0.4045 data_time: 0.0164 memory: 13431 grad_norm: 3.7682 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3782 loss: 2.3782 2022/08/16 06:30:35 - mmengine - INFO - Epoch(train) [167][2100/3757] lr: 2.7519e-02 eta: 1 day, 13:30:01 time: 0.4039 data_time: 0.0154 memory: 13431 grad_norm: 3.7555 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6597 loss: 2.6597 2022/08/16 06:31:15 - mmengine - INFO - Epoch(train) [167][2200/3757] lr: 2.7519e-02 eta: 1 day, 13:29:21 time: 0.4043 data_time: 0.0159 memory: 13431 grad_norm: 3.6658 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5216 loss: 2.5216 2022/08/16 06:31:56 - mmengine - INFO - Epoch(train) [167][2300/3757] lr: 2.7519e-02 eta: 1 day, 13:28:41 time: 0.4047 data_time: 0.0145 memory: 13431 grad_norm: 3.6637 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2462 loss: 2.2462 2022/08/16 06:32:12 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 06:32:37 - mmengine - INFO - Epoch(train) [167][2400/3757] lr: 2.7519e-02 eta: 1 day, 13:28:01 time: 0.4045 data_time: 0.0157 memory: 13431 grad_norm: 3.7534 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3351 loss: 2.3351 2022/08/16 06:33:18 - mmengine - INFO - Epoch(train) [167][2500/3757] lr: 2.7519e-02 eta: 1 day, 13:27:21 time: 0.4146 data_time: 0.0150 memory: 13431 grad_norm: 3.6556 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0826 loss: 2.0826 2022/08/16 06:33:59 - mmengine - INFO - Epoch(train) [167][2600/3757] lr: 2.7519e-02 eta: 1 day, 13:26:42 time: 0.4073 data_time: 0.0154 memory: 13431 grad_norm: 3.7115 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5077 loss: 2.5077 2022/08/16 06:34:40 - mmengine - INFO - Epoch(train) [167][2700/3757] lr: 2.7519e-02 eta: 1 day, 13:26:02 time: 0.4046 data_time: 0.0151 memory: 13431 grad_norm: 3.5997 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1120 loss: 2.1120 2022/08/16 06:35:21 - mmengine - INFO - Epoch(train) [167][2800/3757] lr: 2.7519e-02 eta: 1 day, 13:25:22 time: 0.4067 data_time: 0.0163 memory: 13431 grad_norm: 3.6873 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9670 loss: 1.9670 2022/08/16 06:36:02 - mmengine - INFO - Epoch(train) [167][2900/3757] lr: 2.7519e-02 eta: 1 day, 13:24:42 time: 0.4041 data_time: 0.0151 memory: 13431 grad_norm: 3.6589 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2353 loss: 2.2353 2022/08/16 06:36:43 - mmengine - INFO - Epoch(train) [167][3000/3757] lr: 2.7519e-02 eta: 1 day, 13:24:02 time: 0.4045 data_time: 0.0160 memory: 13431 grad_norm: 3.7782 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1466 loss: 2.1466 2022/08/16 06:37:23 - mmengine - INFO - Epoch(train) [167][3100/3757] lr: 2.7519e-02 eta: 1 day, 13:23:22 time: 0.4055 data_time: 0.0149 memory: 13431 grad_norm: 3.6825 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3170 loss: 2.3170 2022/08/16 06:38:04 - mmengine - INFO - Epoch(train) [167][3200/3757] lr: 2.7519e-02 eta: 1 day, 13:22:42 time: 0.4079 data_time: 0.0153 memory: 13431 grad_norm: 3.6054 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5525 loss: 2.5525 2022/08/16 06:38:45 - mmengine - INFO - Epoch(train) [167][3300/3757] lr: 2.7519e-02 eta: 1 day, 13:22:02 time: 0.4044 data_time: 0.0146 memory: 13431 grad_norm: 3.7550 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4259 loss: 2.4259 2022/08/16 06:39:01 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 06:39:26 - mmengine - INFO - Epoch(train) [167][3400/3757] lr: 2.7519e-02 eta: 1 day, 13:21:22 time: 0.4036 data_time: 0.0153 memory: 13431 grad_norm: 3.7137 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0540 loss: 2.0540 2022/08/16 06:40:07 - mmengine - INFO - Epoch(train) [167][3500/3757] lr: 2.7519e-02 eta: 1 day, 13:20:42 time: 0.4051 data_time: 0.0156 memory: 13431 grad_norm: 3.7310 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1310 loss: 2.1310 2022/08/16 06:40:47 - mmengine - INFO - Epoch(train) [167][3600/3757] lr: 2.7519e-02 eta: 1 day, 13:20:02 time: 0.4050 data_time: 0.0159 memory: 13431 grad_norm: 3.6599 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3434 loss: 2.3434 2022/08/16 06:41:28 - mmengine - INFO - Epoch(train) [167][3700/3757] lr: 2.7519e-02 eta: 1 day, 13:19:23 time: 0.4064 data_time: 0.0154 memory: 13431 grad_norm: 3.6871 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7108 loss: 2.7108 2022/08/16 06:41:51 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 06:41:51 - mmengine - INFO - Epoch(train) [167][3757/3757] lr: 2.7519e-02 eta: 1 day, 13:19:07 time: 0.3947 data_time: 0.0151 memory: 13431 grad_norm: 3.6590 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 2.3945 loss: 2.3945 2022/08/16 06:42:35 - mmengine - INFO - Epoch(train) [168][100/3757] lr: 2.6973e-02 eta: 1 day, 13:18:17 time: 0.4057 data_time: 0.0151 memory: 13431 grad_norm: 3.7215 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4465 loss: 2.4465 2022/08/16 06:43:16 - mmengine - INFO - Epoch(train) [168][200/3757] lr: 2.6973e-02 eta: 1 day, 13:17:37 time: 0.4058 data_time: 0.0151 memory: 13431 grad_norm: 3.7226 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4077 loss: 2.4077 2022/08/16 06:43:56 - mmengine - INFO - Epoch(train) [168][300/3757] lr: 2.6973e-02 eta: 1 day, 13:16:58 time: 0.4066 data_time: 0.0161 memory: 13431 grad_norm: 3.8091 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4906 loss: 2.4906 2022/08/16 06:44:37 - mmengine - INFO - Epoch(train) [168][400/3757] lr: 2.6973e-02 eta: 1 day, 13:16:18 time: 0.4049 data_time: 0.0152 memory: 13431 grad_norm: 3.6659 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2581 loss: 2.2581 2022/08/16 06:45:18 - mmengine - INFO - Epoch(train) [168][500/3757] lr: 2.6973e-02 eta: 1 day, 13:15:38 time: 0.4056 data_time: 0.0156 memory: 13431 grad_norm: 3.8181 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3389 loss: 2.3389 2022/08/16 06:45:51 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 06:45:59 - mmengine - INFO - Epoch(train) [168][600/3757] lr: 2.6973e-02 eta: 1 day, 13:14:58 time: 0.4073 data_time: 0.0157 memory: 13431 grad_norm: 3.6905 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5376 loss: 2.5376 2022/08/16 06:46:40 - mmengine - INFO - Epoch(train) [168][700/3757] lr: 2.6973e-02 eta: 1 day, 13:14:18 time: 0.4052 data_time: 0.0151 memory: 13431 grad_norm: 3.7177 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2569 loss: 2.2569 2022/08/16 06:47:21 - mmengine - INFO - Epoch(train) [168][800/3757] lr: 2.6973e-02 eta: 1 day, 13:13:38 time: 0.4058 data_time: 0.0153 memory: 13431 grad_norm: 3.7437 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2430 loss: 2.2430 2022/08/16 06:48:02 - mmengine - INFO - Epoch(train) [168][900/3757] lr: 2.6973e-02 eta: 1 day, 13:12:58 time: 0.4055 data_time: 0.0159 memory: 13431 grad_norm: 3.8242 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1186 loss: 2.1186 2022/08/16 06:48:43 - mmengine - INFO - Epoch(train) [168][1000/3757] lr: 2.6973e-02 eta: 1 day, 13:12:18 time: 0.4070 data_time: 0.0150 memory: 13431 grad_norm: 3.6400 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1383 loss: 2.1383 2022/08/16 06:49:23 - mmengine - INFO - Epoch(train) [168][1100/3757] lr: 2.6973e-02 eta: 1 day, 13:11:38 time: 0.4077 data_time: 0.0153 memory: 13431 grad_norm: 3.9087 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2414 loss: 2.2414 2022/08/16 06:50:04 - mmengine - INFO - Epoch(train) [168][1200/3757] lr: 2.6973e-02 eta: 1 day, 13:10:58 time: 0.4062 data_time: 0.0159 memory: 13431 grad_norm: 3.6590 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0569 loss: 2.0569 2022/08/16 06:50:45 - mmengine - INFO - Epoch(train) [168][1300/3757] lr: 2.6973e-02 eta: 1 day, 13:10:19 time: 0.4064 data_time: 0.0150 memory: 13431 grad_norm: 3.7630 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0426 loss: 2.0426 2022/08/16 06:51:26 - mmengine - INFO - Epoch(train) [168][1400/3757] lr: 2.6973e-02 eta: 1 day, 13:09:39 time: 0.4048 data_time: 0.0165 memory: 13431 grad_norm: 3.7431 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2359 loss: 2.2359 2022/08/16 06:52:06 - mmengine - INFO - Epoch(train) [168][1500/3757] lr: 2.6973e-02 eta: 1 day, 13:08:59 time: 0.4011 data_time: 0.0158 memory: 13431 grad_norm: 3.7983 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2344 loss: 2.2344 2022/08/16 06:52:40 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 06:52:47 - mmengine - INFO - Epoch(train) [168][1600/3757] lr: 2.6973e-02 eta: 1 day, 13:08:19 time: 0.4036 data_time: 0.0146 memory: 13431 grad_norm: 3.6398 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3045 loss: 2.3045 2022/08/16 06:53:28 - mmengine - INFO - Epoch(train) [168][1700/3757] lr: 2.6973e-02 eta: 1 day, 13:07:39 time: 0.4061 data_time: 0.0169 memory: 13431 grad_norm: 3.6181 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5747 loss: 2.5747 2022/08/16 06:54:09 - mmengine - INFO - Epoch(train) [168][1800/3757] lr: 2.6973e-02 eta: 1 day, 13:06:59 time: 0.4061 data_time: 0.0157 memory: 13431 grad_norm: 3.8390 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2642 loss: 2.2642 2022/08/16 06:54:50 - mmengine - INFO - Epoch(train) [168][1900/3757] lr: 2.6973e-02 eta: 1 day, 13:06:19 time: 0.4074 data_time: 0.0147 memory: 13431 grad_norm: 3.7083 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2837 loss: 2.2837 2022/08/16 06:55:31 - mmengine - INFO - Epoch(train) [168][2000/3757] lr: 2.6973e-02 eta: 1 day, 13:05:39 time: 0.4051 data_time: 0.0148 memory: 13431 grad_norm: 3.6597 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3019 loss: 2.3019 2022/08/16 06:56:12 - mmengine - INFO - Epoch(train) [168][2100/3757] lr: 2.6973e-02 eta: 1 day, 13:04:59 time: 0.4062 data_time: 0.0166 memory: 13431 grad_norm: 3.6440 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1801 loss: 2.1801 2022/08/16 06:56:53 - mmengine - INFO - Epoch(train) [168][2200/3757] lr: 2.6973e-02 eta: 1 day, 13:04:19 time: 0.4040 data_time: 0.0148 memory: 13431 grad_norm: 3.7620 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0528 loss: 2.0528 2022/08/16 06:57:34 - mmengine - INFO - Epoch(train) [168][2300/3757] lr: 2.6973e-02 eta: 1 day, 13:03:40 time: 0.4065 data_time: 0.0172 memory: 13431 grad_norm: 3.7363 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2950 loss: 2.2950 2022/08/16 06:58:15 - mmengine - INFO - Epoch(train) [168][2400/3757] lr: 2.6973e-02 eta: 1 day, 13:03:00 time: 0.4045 data_time: 0.0160 memory: 13431 grad_norm: 3.7229 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3425 loss: 2.3425 2022/08/16 06:58:55 - mmengine - INFO - Epoch(train) [168][2500/3757] lr: 2.6973e-02 eta: 1 day, 13:02:20 time: 0.4063 data_time: 0.0151 memory: 13431 grad_norm: 3.7650 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3793 loss: 2.3793 2022/08/16 06:59:29 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 06:59:36 - mmengine - INFO - Epoch(train) [168][2600/3757] lr: 2.6973e-02 eta: 1 day, 13:01:40 time: 0.4043 data_time: 0.0153 memory: 13431 grad_norm: 3.7507 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2821 loss: 2.2821 2022/08/16 07:00:17 - mmengine - INFO - Epoch(train) [168][2700/3757] lr: 2.6973e-02 eta: 1 day, 13:01:00 time: 0.4047 data_time: 0.0173 memory: 13431 grad_norm: 3.8763 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.3376 loss: 2.3376 2022/08/16 07:00:58 - mmengine - INFO - Epoch(train) [168][2800/3757] lr: 2.6973e-02 eta: 1 day, 13:00:20 time: 0.4034 data_time: 0.0145 memory: 13431 grad_norm: 3.5355 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4883 loss: 2.4883 2022/08/16 07:01:39 - mmengine - INFO - Epoch(train) [168][2900/3757] lr: 2.6973e-02 eta: 1 day, 12:59:40 time: 0.4090 data_time: 0.0157 memory: 13431 grad_norm: 3.7890 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3838 loss: 2.3838 2022/08/16 07:02:20 - mmengine - INFO - Epoch(train) [168][3000/3757] lr: 2.6973e-02 eta: 1 day, 12:59:00 time: 0.4066 data_time: 0.0157 memory: 13431 grad_norm: 3.7367 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6107 loss: 2.6107 2022/08/16 07:03:01 - mmengine - INFO - Epoch(train) [168][3100/3757] lr: 2.6973e-02 eta: 1 day, 12:58:20 time: 0.4051 data_time: 0.0155 memory: 13431 grad_norm: 3.5822 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4227 loss: 2.4227 2022/08/16 07:03:42 - mmengine - INFO - Epoch(train) [168][3200/3757] lr: 2.6973e-02 eta: 1 day, 12:57:41 time: 0.4104 data_time: 0.0158 memory: 13431 grad_norm: 3.6788 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1316 loss: 2.1316 2022/08/16 07:04:23 - mmengine - INFO - Epoch(train) [168][3300/3757] lr: 2.6973e-02 eta: 1 day, 12:57:01 time: 0.4098 data_time: 0.0175 memory: 13431 grad_norm: 3.7506 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3488 loss: 2.3488 2022/08/16 07:05:03 - mmengine - INFO - Epoch(train) [168][3400/3757] lr: 2.6973e-02 eta: 1 day, 12:56:21 time: 0.4068 data_time: 0.0156 memory: 13431 grad_norm: 3.7120 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9183 loss: 1.9183 2022/08/16 07:05:44 - mmengine - INFO - Epoch(train) [168][3500/3757] lr: 2.6973e-02 eta: 1 day, 12:55:41 time: 0.4042 data_time: 0.0162 memory: 13431 grad_norm: 3.7195 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3044 loss: 2.3044 2022/08/16 07:06:17 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 07:06:25 - mmengine - INFO - Epoch(train) [168][3600/3757] lr: 2.6973e-02 eta: 1 day, 12:55:01 time: 0.4046 data_time: 0.0169 memory: 13431 grad_norm: 3.7461 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2112 loss: 2.2112 2022/08/16 07:07:06 - mmengine - INFO - Epoch(train) [168][3700/3757] lr: 2.6973e-02 eta: 1 day, 12:54:21 time: 0.4086 data_time: 0.0161 memory: 13431 grad_norm: 3.8167 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3884 loss: 2.3884 2022/08/16 07:07:29 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 07:07:29 - mmengine - INFO - Epoch(train) [168][3757/3757] lr: 2.6973e-02 eta: 1 day, 12:54:05 time: 0.3933 data_time: 0.0137 memory: 13431 grad_norm: 3.6906 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 2.4664 loss: 2.4664 2022/08/16 07:07:29 - mmengine - INFO - Saving checkpoint at 168 epochs 2022/08/16 07:08:17 - mmengine - INFO - Epoch(train) [169][100/3757] lr: 2.6430e-02 eta: 1 day, 12:53:15 time: 0.4066 data_time: 0.0171 memory: 13431 grad_norm: 3.7288 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.4624 loss: 2.4624 2022/08/16 07:08:58 - mmengine - INFO - Epoch(train) [169][200/3757] lr: 2.6430e-02 eta: 1 day, 12:52:35 time: 0.4057 data_time: 0.0157 memory: 13431 grad_norm: 3.7184 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0957 loss: 2.0957 2022/08/16 07:09:38 - mmengine - INFO - Epoch(train) [169][300/3757] lr: 2.6430e-02 eta: 1 day, 12:51:55 time: 0.4065 data_time: 0.0166 memory: 13431 grad_norm: 3.6478 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1223 loss: 2.1223 2022/08/16 07:10:19 - mmengine - INFO - Epoch(train) [169][400/3757] lr: 2.6430e-02 eta: 1 day, 12:51:16 time: 0.4057 data_time: 0.0152 memory: 13431 grad_norm: 3.7655 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9877 loss: 1.9877 2022/08/16 07:11:00 - mmengine - INFO - Epoch(train) [169][500/3757] lr: 2.6430e-02 eta: 1 day, 12:50:36 time: 0.4050 data_time: 0.0161 memory: 13431 grad_norm: 3.7760 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1206 loss: 2.1206 2022/08/16 07:11:41 - mmengine - INFO - Epoch(train) [169][600/3757] lr: 2.6430e-02 eta: 1 day, 12:49:56 time: 0.4051 data_time: 0.0148 memory: 13431 grad_norm: 3.7712 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3400 loss: 2.3400 2022/08/16 07:12:22 - mmengine - INFO - Epoch(train) [169][700/3757] lr: 2.6430e-02 eta: 1 day, 12:49:16 time: 0.4086 data_time: 0.0150 memory: 13431 grad_norm: 3.7508 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0514 loss: 2.0514 2022/08/16 07:13:03 - mmengine - INFO - Epoch(train) [169][800/3757] lr: 2.6430e-02 eta: 1 day, 12:48:36 time: 0.4103 data_time: 0.0159 memory: 13431 grad_norm: 3.8684 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0280 loss: 2.0280 2022/08/16 07:13:13 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 07:13:44 - mmengine - INFO - Epoch(train) [169][900/3757] lr: 2.6430e-02 eta: 1 day, 12:47:56 time: 0.4076 data_time: 0.0157 memory: 13431 grad_norm: 3.7661 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3395 loss: 2.3395 2022/08/16 07:14:25 - mmengine - INFO - Epoch(train) [169][1000/3757] lr: 2.6430e-02 eta: 1 day, 12:47:16 time: 0.4082 data_time: 0.0160 memory: 13431 grad_norm: 3.8647 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2287 loss: 2.2287 2022/08/16 07:15:06 - mmengine - INFO - Epoch(train) [169][1100/3757] lr: 2.6430e-02 eta: 1 day, 12:46:36 time: 0.4061 data_time: 0.0163 memory: 13431 grad_norm: 3.8176 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3344 loss: 2.3344 2022/08/16 07:15:47 - mmengine - INFO - Epoch(train) [169][1200/3757] lr: 2.6430e-02 eta: 1 day, 12:45:56 time: 0.4079 data_time: 0.0165 memory: 13431 grad_norm: 3.7223 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9841 loss: 1.9841 2022/08/16 07:16:28 - mmengine - INFO - Epoch(train) [169][1300/3757] lr: 2.6430e-02 eta: 1 day, 12:45:17 time: 0.4074 data_time: 0.0157 memory: 13431 grad_norm: 3.7463 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4661 loss: 2.4661 2022/08/16 07:17:09 - mmengine - INFO - Epoch(train) [169][1400/3757] lr: 2.6430e-02 eta: 1 day, 12:44:37 time: 0.4058 data_time: 0.0156 memory: 13431 grad_norm: 3.9154 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2507 loss: 2.2507 2022/08/16 07:17:50 - mmengine - INFO - Epoch(train) [169][1500/3757] lr: 2.6430e-02 eta: 1 day, 12:43:57 time: 0.4107 data_time: 0.0159 memory: 13431 grad_norm: 3.6389 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2012 loss: 2.2012 2022/08/16 07:18:31 - mmengine - INFO - Epoch(train) [169][1600/3757] lr: 2.6430e-02 eta: 1 day, 12:43:17 time: 0.4120 data_time: 0.0150 memory: 13431 grad_norm: 3.8709 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1392 loss: 2.1392 2022/08/16 07:19:12 - mmengine - INFO - Epoch(train) [169][1700/3757] lr: 2.6430e-02 eta: 1 day, 12:42:37 time: 0.4033 data_time: 0.0153 memory: 13431 grad_norm: 3.6608 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4724 loss: 2.4724 2022/08/16 07:19:53 - mmengine - INFO - Epoch(train) [169][1800/3757] lr: 2.6430e-02 eta: 1 day, 12:41:58 time: 0.4114 data_time: 0.0170 memory: 13431 grad_norm: 3.7597 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0215 loss: 2.0215 2022/08/16 07:20:03 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 07:20:34 - mmengine - INFO - Epoch(train) [169][1900/3757] lr: 2.6430e-02 eta: 1 day, 12:41:18 time: 0.4074 data_time: 0.0171 memory: 13431 grad_norm: 3.8623 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5471 loss: 2.5471 2022/08/16 07:21:15 - mmengine - INFO - Epoch(train) [169][2000/3757] lr: 2.6430e-02 eta: 1 day, 12:40:38 time: 0.4152 data_time: 0.0158 memory: 13431 grad_norm: 3.6883 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3786 loss: 2.3786 2022/08/16 07:21:56 - mmengine - INFO - Epoch(train) [169][2100/3757] lr: 2.6430e-02 eta: 1 day, 12:39:58 time: 0.4169 data_time: 0.0154 memory: 13431 grad_norm: 3.7775 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1529 loss: 2.1529 2022/08/16 07:22:37 - mmengine - INFO - Epoch(train) [169][2200/3757] lr: 2.6430e-02 eta: 1 day, 12:39:18 time: 0.4114 data_time: 0.0157 memory: 13431 grad_norm: 3.6141 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6061 loss: 2.6061 2022/08/16 07:23:18 - mmengine - INFO - Epoch(train) [169][2300/3757] lr: 2.6430e-02 eta: 1 day, 12:38:38 time: 0.4057 data_time: 0.0150 memory: 13431 grad_norm: 3.7193 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3318 loss: 2.3318 2022/08/16 07:23:59 - mmengine - INFO - Epoch(train) [169][2400/3757] lr: 2.6430e-02 eta: 1 day, 12:37:59 time: 0.4039 data_time: 0.0155 memory: 13431 grad_norm: 3.7049 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4609 loss: 2.4609 2022/08/16 07:24:40 - mmengine - INFO - Epoch(train) [169][2500/3757] lr: 2.6430e-02 eta: 1 day, 12:37:19 time: 0.4064 data_time: 0.0162 memory: 13431 grad_norm: 3.6196 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 2.3093 loss: 2.3093 2022/08/16 07:25:21 - mmengine - INFO - Epoch(train) [169][2600/3757] lr: 2.6430e-02 eta: 1 day, 12:36:39 time: 0.4108 data_time: 0.0174 memory: 13431 grad_norm: 3.6680 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2320 loss: 2.2320 2022/08/16 07:26:02 - mmengine - INFO - Epoch(train) [169][2700/3757] lr: 2.6430e-02 eta: 1 day, 12:35:59 time: 0.4050 data_time: 0.0166 memory: 13431 grad_norm: 3.6981 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4880 loss: 2.4880 2022/08/16 07:26:43 - mmengine - INFO - Epoch(train) [169][2800/3757] lr: 2.6430e-02 eta: 1 day, 12:35:19 time: 0.4062 data_time: 0.0167 memory: 13431 grad_norm: 3.7296 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1476 loss: 2.1476 2022/08/16 07:26:53 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 07:27:24 - mmengine - INFO - Epoch(train) [169][2900/3757] lr: 2.6430e-02 eta: 1 day, 12:34:39 time: 0.4128 data_time: 0.0153 memory: 13431 grad_norm: 3.7102 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0948 loss: 2.0948 2022/08/16 07:28:05 - mmengine - INFO - Epoch(train) [169][3000/3757] lr: 2.6430e-02 eta: 1 day, 12:34:00 time: 0.4049 data_time: 0.0153 memory: 13431 grad_norm: 3.7878 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2036 loss: 2.2036 2022/08/16 07:28:46 - mmengine - INFO - Epoch(train) [169][3100/3757] lr: 2.6430e-02 eta: 1 day, 12:33:20 time: 0.4048 data_time: 0.0152 memory: 13431 grad_norm: 3.5970 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2278 loss: 2.2278 2022/08/16 07:29:27 - mmengine - INFO - Epoch(train) [169][3200/3757] lr: 2.6430e-02 eta: 1 day, 12:32:40 time: 0.4058 data_time: 0.0149 memory: 13431 grad_norm: 3.7971 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3313 loss: 2.3313 2022/08/16 07:30:08 - mmengine - INFO - Epoch(train) [169][3300/3757] lr: 2.6430e-02 eta: 1 day, 12:32:00 time: 0.4065 data_time: 0.0154 memory: 13431 grad_norm: 3.7500 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3712 loss: 2.3712 2022/08/16 07:30:49 - mmengine - INFO - Epoch(train) [169][3400/3757] lr: 2.6430e-02 eta: 1 day, 12:31:20 time: 0.4090 data_time: 0.0166 memory: 13431 grad_norm: 3.7756 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4822 loss: 2.4822 2022/08/16 07:31:30 - mmengine - INFO - Epoch(train) [169][3500/3757] lr: 2.6430e-02 eta: 1 day, 12:30:40 time: 0.4037 data_time: 0.0166 memory: 13431 grad_norm: 3.7520 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3549 loss: 2.3549 2022/08/16 07:32:11 - mmengine - INFO - Epoch(train) [169][3600/3757] lr: 2.6430e-02 eta: 1 day, 12:30:00 time: 0.4097 data_time: 0.0160 memory: 13431 grad_norm: 3.7642 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1368 loss: 2.1368 2022/08/16 07:32:52 - mmengine - INFO - Epoch(train) [169][3700/3757] lr: 2.6430e-02 eta: 1 day, 12:29:20 time: 0.4035 data_time: 0.0149 memory: 13431 grad_norm: 3.8187 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5823 loss: 2.5823 2022/08/16 07:33:15 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 07:33:15 - mmengine - INFO - Epoch(train) [169][3757/3757] lr: 2.6430e-02 eta: 1 day, 12:29:04 time: 0.3956 data_time: 0.0147 memory: 13431 grad_norm: 3.8849 top1_acc: 0.1429 top5_acc: 0.4286 loss_cls: 2.1987 loss: 2.1987 2022/08/16 07:33:45 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 07:33:59 - mmengine - INFO - Epoch(train) [170][100/3757] lr: 2.5891e-02 eta: 1 day, 12:28:16 time: 0.4130 data_time: 0.0151 memory: 13431 grad_norm: 3.5755 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3850 loss: 2.3850 2022/08/16 07:34:39 - mmengine - INFO - Epoch(train) [170][200/3757] lr: 2.5891e-02 eta: 1 day, 12:27:36 time: 0.4073 data_time: 0.0163 memory: 13431 grad_norm: 3.8333 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4285 loss: 2.4285 2022/08/16 07:35:20 - mmengine - INFO - Epoch(train) [170][300/3757] lr: 2.5891e-02 eta: 1 day, 12:26:56 time: 0.4093 data_time: 0.0155 memory: 13431 grad_norm: 3.7653 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1734 loss: 2.1734 2022/08/16 07:36:01 - mmengine - INFO - Epoch(train) [170][400/3757] lr: 2.5891e-02 eta: 1 day, 12:26:16 time: 0.4106 data_time: 0.0149 memory: 13431 grad_norm: 3.6396 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3745 loss: 2.3745 2022/08/16 07:36:42 - mmengine - INFO - Epoch(train) [170][500/3757] lr: 2.5891e-02 eta: 1 day, 12:25:36 time: 0.4043 data_time: 0.0154 memory: 13431 grad_norm: 3.8043 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2036 loss: 2.2036 2022/08/16 07:37:23 - mmengine - INFO - Epoch(train) [170][600/3757] lr: 2.5891e-02 eta: 1 day, 12:24:56 time: 0.4101 data_time: 0.0153 memory: 13431 grad_norm: 3.7578 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1404 loss: 2.1404 2022/08/16 07:38:04 - mmengine - INFO - Epoch(train) [170][700/3757] lr: 2.5891e-02 eta: 1 day, 12:24:16 time: 0.4083 data_time: 0.0164 memory: 13431 grad_norm: 3.7666 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3180 loss: 2.3180 2022/08/16 07:38:45 - mmengine - INFO - Epoch(train) [170][800/3757] lr: 2.5891e-02 eta: 1 day, 12:23:36 time: 0.4105 data_time: 0.0164 memory: 13431 grad_norm: 3.6072 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1474 loss: 2.1474 2022/08/16 07:39:26 - mmengine - INFO - Epoch(train) [170][900/3757] lr: 2.5891e-02 eta: 1 day, 12:22:57 time: 0.4039 data_time: 0.0148 memory: 13431 grad_norm: 3.7852 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.3916 loss: 2.3916 2022/08/16 07:40:07 - mmengine - INFO - Epoch(train) [170][1000/3757] lr: 2.5891e-02 eta: 1 day, 12:22:17 time: 0.4117 data_time: 0.0160 memory: 13431 grad_norm: 3.8137 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1419 loss: 2.1419 2022/08/16 07:40:34 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 07:40:48 - mmengine - INFO - Epoch(train) [170][1100/3757] lr: 2.5891e-02 eta: 1 day, 12:21:37 time: 0.4068 data_time: 0.0153 memory: 13431 grad_norm: 3.7601 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1117 loss: 2.1117 2022/08/16 07:41:29 - mmengine - INFO - Epoch(train) [170][1200/3757] lr: 2.5891e-02 eta: 1 day, 12:20:57 time: 0.4059 data_time: 0.0160 memory: 13431 grad_norm: 3.7882 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4692 loss: 2.4692 2022/08/16 07:42:10 - mmengine - INFO - Epoch(train) [170][1300/3757] lr: 2.5891e-02 eta: 1 day, 12:20:17 time: 0.4116 data_time: 0.0161 memory: 13431 grad_norm: 3.6614 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3522 loss: 2.3522 2022/08/16 07:42:51 - mmengine - INFO - Epoch(train) [170][1400/3757] lr: 2.5891e-02 eta: 1 day, 12:19:37 time: 0.4075 data_time: 0.0173 memory: 13431 grad_norm: 3.8656 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2269 loss: 2.2269 2022/08/16 07:43:32 - mmengine - INFO - Epoch(train) [170][1500/3757] lr: 2.5891e-02 eta: 1 day, 12:18:57 time: 0.4087 data_time: 0.0150 memory: 13431 grad_norm: 3.7498 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2189 loss: 2.2189 2022/08/16 07:44:12 - mmengine - INFO - Epoch(train) [170][1600/3757] lr: 2.5891e-02 eta: 1 day, 12:18:17 time: 0.4040 data_time: 0.0155 memory: 13431 grad_norm: 3.7678 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5417 loss: 2.5417 2022/08/16 07:44:53 - mmengine - INFO - Epoch(train) [170][1700/3757] lr: 2.5891e-02 eta: 1 day, 12:17:37 time: 0.4089 data_time: 0.0144 memory: 13431 grad_norm: 3.8000 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7583 loss: 2.7583 2022/08/16 07:45:34 - mmengine - INFO - Epoch(train) [170][1800/3757] lr: 2.5891e-02 eta: 1 day, 12:16:57 time: 0.4029 data_time: 0.0157 memory: 13431 grad_norm: 3.8429 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1392 loss: 2.1392 2022/08/16 07:46:15 - mmengine - INFO - Epoch(train) [170][1900/3757] lr: 2.5891e-02 eta: 1 day, 12:16:17 time: 0.4048 data_time: 0.0151 memory: 13431 grad_norm: 3.7959 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2408 loss: 2.2408 2022/08/16 07:46:56 - mmengine - INFO - Epoch(train) [170][2000/3757] lr: 2.5891e-02 eta: 1 day, 12:15:38 time: 0.4117 data_time: 0.0156 memory: 13431 grad_norm: 3.8066 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3152 loss: 2.3152 2022/08/16 07:47:23 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 07:47:37 - mmengine - INFO - Epoch(train) [170][2100/3757] lr: 2.5891e-02 eta: 1 day, 12:14:58 time: 0.4062 data_time: 0.0159 memory: 13431 grad_norm: 3.8514 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9435 loss: 1.9435 2022/08/16 07:48:18 - mmengine - INFO - Epoch(train) [170][2200/3757] lr: 2.5891e-02 eta: 1 day, 12:14:18 time: 0.4055 data_time: 0.0162 memory: 13431 grad_norm: 3.8401 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9944 loss: 1.9944 2022/08/16 07:48:58 - mmengine - INFO - Epoch(train) [170][2300/3757] lr: 2.5891e-02 eta: 1 day, 12:13:38 time: 0.4087 data_time: 0.0168 memory: 13431 grad_norm: 3.9458 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2983 loss: 2.2983 2022/08/16 07:49:39 - mmengine - INFO - Epoch(train) [170][2400/3757] lr: 2.5891e-02 eta: 1 day, 12:12:58 time: 0.4136 data_time: 0.0166 memory: 13431 grad_norm: 3.7374 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6419 loss: 2.6419 2022/08/16 07:50:20 - mmengine - INFO - Epoch(train) [170][2500/3757] lr: 2.5891e-02 eta: 1 day, 12:12:18 time: 0.4055 data_time: 0.0156 memory: 13431 grad_norm: 3.7872 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4719 loss: 2.4719 2022/08/16 07:51:02 - mmengine - INFO - Epoch(train) [170][2600/3757] lr: 2.5891e-02 eta: 1 day, 12:11:38 time: 0.4056 data_time: 0.0167 memory: 13431 grad_norm: 3.8280 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2558 loss: 2.2558 2022/08/16 07:51:43 - mmengine - INFO - Epoch(train) [170][2700/3757] lr: 2.5891e-02 eta: 1 day, 12:10:58 time: 0.4112 data_time: 0.0149 memory: 13431 grad_norm: 3.7376 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0903 loss: 2.0903 2022/08/16 07:52:23 - mmengine - INFO - Epoch(train) [170][2800/3757] lr: 2.5891e-02 eta: 1 day, 12:10:19 time: 0.4027 data_time: 0.0152 memory: 13431 grad_norm: 3.5712 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2229 loss: 2.2229 2022/08/16 07:53:05 - mmengine - INFO - Epoch(train) [170][2900/3757] lr: 2.5891e-02 eta: 1 day, 12:09:39 time: 0.4065 data_time: 0.0150 memory: 13431 grad_norm: 3.8621 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1551 loss: 2.1551 2022/08/16 07:53:45 - mmengine - INFO - Epoch(train) [170][3000/3757] lr: 2.5891e-02 eta: 1 day, 12:08:59 time: 0.4040 data_time: 0.0150 memory: 13431 grad_norm: 3.7573 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.1822 loss: 2.1822 2022/08/16 07:54:13 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 07:54:26 - mmengine - INFO - Epoch(train) [170][3100/3757] lr: 2.5891e-02 eta: 1 day, 12:08:19 time: 0.4139 data_time: 0.0149 memory: 13431 grad_norm: 3.7383 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4260 loss: 2.4260 2022/08/16 07:55:07 - mmengine - INFO - Epoch(train) [170][3200/3757] lr: 2.5891e-02 eta: 1 day, 12:07:39 time: 0.4080 data_time: 0.0160 memory: 13431 grad_norm: 3.7733 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4374 loss: 2.4374 2022/08/16 07:55:48 - mmengine - INFO - Epoch(train) [170][3300/3757] lr: 2.5891e-02 eta: 1 day, 12:06:59 time: 0.4139 data_time: 0.0162 memory: 13431 grad_norm: 3.8636 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2213 loss: 2.2213 2022/08/16 07:56:29 - mmengine - INFO - Epoch(train) [170][3400/3757] lr: 2.5891e-02 eta: 1 day, 12:06:19 time: 0.4091 data_time: 0.0156 memory: 13431 grad_norm: 3.7484 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2792 loss: 2.2792 2022/08/16 07:57:10 - mmengine - INFO - Epoch(train) [170][3500/3757] lr: 2.5891e-02 eta: 1 day, 12:05:39 time: 0.4102 data_time: 0.0155 memory: 13431 grad_norm: 3.8960 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3309 loss: 2.3309 2022/08/16 07:57:51 - mmengine - INFO - Epoch(train) [170][3600/3757] lr: 2.5891e-02 eta: 1 day, 12:04:59 time: 0.4105 data_time: 0.0156 memory: 13431 grad_norm: 3.7443 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4076 loss: 2.4076 2022/08/16 07:58:32 - mmengine - INFO - Epoch(train) [170][3700/3757] lr: 2.5891e-02 eta: 1 day, 12:04:19 time: 0.4067 data_time: 0.0152 memory: 13431 grad_norm: 3.6477 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2499 loss: 2.2499 2022/08/16 07:58:55 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 07:58:55 - mmengine - INFO - Epoch(train) [170][3757/3757] lr: 2.5891e-02 eta: 1 day, 12:04:03 time: 0.3915 data_time: 0.0137 memory: 13431 grad_norm: 3.8001 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 2.2181 loss: 2.2181 2022/08/16 07:59:17 - mmengine - INFO - Epoch(val) [170][100/310] eta: 0:00:45 time: 0.2153 data_time: 0.0861 memory: 1974 2022/08/16 07:59:38 - mmengine - INFO - Epoch(val) [170][200/310] eta: 0:00:19 time: 0.1784 data_time: 0.0502 memory: 1974 2022/08/16 07:59:59 - mmengine - INFO - Epoch(val) [170][300/310] eta: 0:00:02 time: 0.2064 data_time: 0.0782 memory: 1974 2022/08/16 08:00:04 - mmengine - INFO - Epoch(val) [170][310/310] acc/top1: 0.5537 acc/top5: 0.8020 acc/mean1: 0.5537 2022/08/16 08:00:04 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_166.pth is removed 2022/08/16 08:00:08 - mmengine - INFO - The best checkpoint with 0.5537 acc/top1 at 171 epoch is saved to best_acc/top1_epoch_171.pth. 2022/08/16 08:00:50 - mmengine - INFO - Epoch(train) [171][100/3757] lr: 2.5355e-02 eta: 1 day, 12:03:14 time: 0.4067 data_time: 0.0170 memory: 13431 grad_norm: 3.8301 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4779 loss: 2.4779 2022/08/16 08:01:31 - mmengine - INFO - Epoch(train) [171][200/3757] lr: 2.5355e-02 eta: 1 day, 12:02:34 time: 0.4035 data_time: 0.0147 memory: 13431 grad_norm: 3.7366 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0735 loss: 2.0735 2022/08/16 08:02:12 - mmengine - INFO - Epoch(train) [171][300/3757] lr: 2.5355e-02 eta: 1 day, 12:01:54 time: 0.4056 data_time: 0.0155 memory: 13431 grad_norm: 3.7561 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3555 loss: 2.3555 2022/08/16 08:02:16 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 08:02:53 - mmengine - INFO - Epoch(train) [171][400/3757] lr: 2.5355e-02 eta: 1 day, 12:01:14 time: 0.4031 data_time: 0.0146 memory: 13431 grad_norm: 3.8123 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0276 loss: 2.0276 2022/08/16 08:03:33 - mmengine - INFO - Epoch(train) [171][500/3757] lr: 2.5355e-02 eta: 1 day, 12:00:34 time: 0.4056 data_time: 0.0150 memory: 13431 grad_norm: 3.8082 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.3658 loss: 2.3658 2022/08/16 08:04:14 - mmengine - INFO - Epoch(train) [171][600/3757] lr: 2.5355e-02 eta: 1 day, 11:59:54 time: 0.4047 data_time: 0.0144 memory: 13431 grad_norm: 3.7127 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3818 loss: 2.3818 2022/08/16 08:04:55 - mmengine - INFO - Epoch(train) [171][700/3757] lr: 2.5355e-02 eta: 1 day, 11:59:14 time: 0.4082 data_time: 0.0153 memory: 13431 grad_norm: 3.7805 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2121 loss: 2.2121 2022/08/16 08:05:36 - mmengine - INFO - Epoch(train) [171][800/3757] lr: 2.5355e-02 eta: 1 day, 11:58:34 time: 0.4052 data_time: 0.0160 memory: 13431 grad_norm: 3.7979 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1700 loss: 2.1700 2022/08/16 08:06:17 - mmengine - INFO - Epoch(train) [171][900/3757] lr: 2.5355e-02 eta: 1 day, 11:57:54 time: 0.4065 data_time: 0.0155 memory: 13431 grad_norm: 3.7525 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8822 loss: 1.8822 2022/08/16 08:06:58 - mmengine - INFO - Epoch(train) [171][1000/3757] lr: 2.5355e-02 eta: 1 day, 11:57:15 time: 0.4071 data_time: 0.0157 memory: 13431 grad_norm: 3.8073 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5218 loss: 2.5218 2022/08/16 08:07:39 - mmengine - INFO - Epoch(train) [171][1100/3757] lr: 2.5355e-02 eta: 1 day, 11:56:35 time: 0.4040 data_time: 0.0145 memory: 13431 grad_norm: 3.7896 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4203 loss: 2.4203 2022/08/16 08:08:20 - mmengine - INFO - Epoch(train) [171][1200/3757] lr: 2.5355e-02 eta: 1 day, 11:55:55 time: 0.4058 data_time: 0.0151 memory: 13431 grad_norm: 3.9235 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1499 loss: 2.1499 2022/08/16 08:09:01 - mmengine - INFO - Epoch(train) [171][1300/3757] lr: 2.5355e-02 eta: 1 day, 11:55:15 time: 0.4051 data_time: 0.0164 memory: 13431 grad_norm: 3.8339 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3987 loss: 2.3987 2022/08/16 08:09:05 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 08:09:42 - mmengine - INFO - Epoch(train) [171][1400/3757] lr: 2.5355e-02 eta: 1 day, 11:54:35 time: 0.4078 data_time: 0.0154 memory: 13431 grad_norm: 3.9066 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1020 loss: 2.1020 2022/08/16 08:10:23 - mmengine - INFO - Epoch(train) [171][1500/3757] lr: 2.5355e-02 eta: 1 day, 11:53:55 time: 0.4054 data_time: 0.0155 memory: 13431 grad_norm: 3.7906 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2882 loss: 2.2882 2022/08/16 08:11:04 - mmengine - INFO - Epoch(train) [171][1600/3757] lr: 2.5355e-02 eta: 1 day, 11:53:15 time: 0.4063 data_time: 0.0158 memory: 13431 grad_norm: 3.7624 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5828 loss: 2.5828 2022/08/16 08:11:45 - mmengine - INFO - Epoch(train) [171][1700/3757] lr: 2.5355e-02 eta: 1 day, 11:52:35 time: 0.4044 data_time: 0.0152 memory: 13431 grad_norm: 3.7931 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0957 loss: 2.0957 2022/08/16 08:12:25 - mmengine - INFO - Epoch(train) [171][1800/3757] lr: 2.5355e-02 eta: 1 day, 11:51:55 time: 0.4046 data_time: 0.0176 memory: 13431 grad_norm: 3.7735 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4759 loss: 2.4759 2022/08/16 08:13:07 - mmengine - INFO - Epoch(train) [171][1900/3757] lr: 2.5355e-02 eta: 1 day, 11:51:15 time: 0.4051 data_time: 0.0149 memory: 13431 grad_norm: 3.9270 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1429 loss: 2.1429 2022/08/16 08:13:47 - mmengine - INFO - Epoch(train) [171][2000/3757] lr: 2.5355e-02 eta: 1 day, 11:50:36 time: 0.4043 data_time: 0.0147 memory: 13431 grad_norm: 3.7704 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1672 loss: 2.1672 2022/08/16 08:14:28 - mmengine - INFO - Epoch(train) [171][2100/3757] lr: 2.5355e-02 eta: 1 day, 11:49:56 time: 0.4120 data_time: 0.0152 memory: 13431 grad_norm: 3.7888 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4024 loss: 2.4024 2022/08/16 08:15:09 - mmengine - INFO - Epoch(train) [171][2200/3757] lr: 2.5355e-02 eta: 1 day, 11:49:16 time: 0.4052 data_time: 0.0147 memory: 13431 grad_norm: 3.6193 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2166 loss: 2.2166 2022/08/16 08:15:50 - mmengine - INFO - Epoch(train) [171][2300/3757] lr: 2.5355e-02 eta: 1 day, 11:48:36 time: 0.4137 data_time: 0.0163 memory: 13431 grad_norm: 3.8689 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2904 loss: 2.2904 2022/08/16 08:15:55 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 08:16:31 - mmengine - INFO - Epoch(train) [171][2400/3757] lr: 2.5355e-02 eta: 1 day, 11:47:56 time: 0.4052 data_time: 0.0155 memory: 13431 grad_norm: 3.8271 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1782 loss: 2.1782 2022/08/16 08:17:12 - mmengine - INFO - Epoch(train) [171][2500/3757] lr: 2.5355e-02 eta: 1 day, 11:47:16 time: 0.4030 data_time: 0.0150 memory: 13431 grad_norm: 3.7934 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3170 loss: 2.3170 2022/08/16 08:17:53 - mmengine - INFO - Epoch(train) [171][2600/3757] lr: 2.5355e-02 eta: 1 day, 11:46:36 time: 0.4032 data_time: 0.0156 memory: 13431 grad_norm: 3.5791 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1372 loss: 2.1372 2022/08/16 08:18:34 - mmengine - INFO - Epoch(train) [171][2700/3757] lr: 2.5355e-02 eta: 1 day, 11:45:56 time: 0.4065 data_time: 0.0172 memory: 13431 grad_norm: 3.8076 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.1689 loss: 2.1689 2022/08/16 08:19:15 - mmengine - INFO - Epoch(train) [171][2800/3757] lr: 2.5355e-02 eta: 1 day, 11:45:16 time: 0.4054 data_time: 0.0155 memory: 13431 grad_norm: 3.8574 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1136 loss: 2.1136 2022/08/16 08:19:56 - mmengine - INFO - Epoch(train) [171][2900/3757] lr: 2.5355e-02 eta: 1 day, 11:44:36 time: 0.4034 data_time: 0.0145 memory: 13431 grad_norm: 3.9822 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6025 loss: 2.6025 2022/08/16 08:20:37 - mmengine - INFO - Epoch(train) [171][3000/3757] lr: 2.5355e-02 eta: 1 day, 11:43:57 time: 0.4100 data_time: 0.0154 memory: 13431 grad_norm: 3.6780 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1260 loss: 2.1260 2022/08/16 08:21:18 - mmengine - INFO - Epoch(train) [171][3100/3757] lr: 2.5355e-02 eta: 1 day, 11:43:17 time: 0.4040 data_time: 0.0158 memory: 13431 grad_norm: 3.7411 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2131 loss: 2.2131 2022/08/16 08:21:59 - mmengine - INFO - Epoch(train) [171][3200/3757] lr: 2.5355e-02 eta: 1 day, 11:42:37 time: 0.4088 data_time: 0.0168 memory: 13431 grad_norm: 3.6786 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1656 loss: 2.1656 2022/08/16 08:22:40 - mmengine - INFO - Epoch(train) [171][3300/3757] lr: 2.5355e-02 eta: 1 day, 11:41:57 time: 0.4078 data_time: 0.0159 memory: 13431 grad_norm: 3.8231 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4907 loss: 2.4907 2022/08/16 08:22:44 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 08:23:21 - mmengine - INFO - Epoch(train) [171][3400/3757] lr: 2.5355e-02 eta: 1 day, 11:41:17 time: 0.4082 data_time: 0.0169 memory: 13431 grad_norm: 3.7759 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3028 loss: 2.3028 2022/08/16 08:24:02 - mmengine - INFO - Epoch(train) [171][3500/3757] lr: 2.5355e-02 eta: 1 day, 11:40:37 time: 0.4053 data_time: 0.0162 memory: 13431 grad_norm: 3.6538 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0998 loss: 2.0998 2022/08/16 08:24:42 - mmengine - INFO - Epoch(train) [171][3600/3757] lr: 2.5355e-02 eta: 1 day, 11:39:57 time: 0.4057 data_time: 0.0156 memory: 13431 grad_norm: 3.7992 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0100 loss: 2.0100 2022/08/16 08:25:23 - mmengine - INFO - Epoch(train) [171][3700/3757] lr: 2.5355e-02 eta: 1 day, 11:39:17 time: 0.4066 data_time: 0.0151 memory: 13431 grad_norm: 3.8279 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5455 loss: 2.5455 2022/08/16 08:25:46 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 08:25:46 - mmengine - INFO - Epoch(train) [171][3757/3757] lr: 2.5355e-02 eta: 1 day, 11:39:01 time: 0.3904 data_time: 0.0138 memory: 13431 grad_norm: 3.7355 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 2.2560 loss: 2.2560 2022/08/16 08:26:30 - mmengine - INFO - Epoch(train) [172][100/3757] lr: 2.4823e-02 eta: 1 day, 11:38:12 time: 0.4088 data_time: 0.0157 memory: 13431 grad_norm: 3.8180 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7099 loss: 2.7099 2022/08/16 08:27:11 - mmengine - INFO - Epoch(train) [172][200/3757] lr: 2.4823e-02 eta: 1 day, 11:37:32 time: 0.4078 data_time: 0.0159 memory: 13431 grad_norm: 3.8429 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4871 loss: 2.4871 2022/08/16 08:27:51 - mmengine - INFO - Epoch(train) [172][300/3757] lr: 2.4823e-02 eta: 1 day, 11:36:52 time: 0.4062 data_time: 0.0149 memory: 13431 grad_norm: 3.9591 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9400 loss: 1.9400 2022/08/16 08:28:32 - mmengine - INFO - Epoch(train) [172][400/3757] lr: 2.4823e-02 eta: 1 day, 11:36:13 time: 0.4062 data_time: 0.0147 memory: 13431 grad_norm: 3.7602 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0036 loss: 2.0036 2022/08/16 08:29:13 - mmengine - INFO - Epoch(train) [172][500/3757] lr: 2.4823e-02 eta: 1 day, 11:35:33 time: 0.4029 data_time: 0.0143 memory: 13431 grad_norm: 3.7961 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4699 loss: 2.4699 2022/08/16 08:29:35 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 08:29:54 - mmengine - INFO - Epoch(train) [172][600/3757] lr: 2.4823e-02 eta: 1 day, 11:34:53 time: 0.4070 data_time: 0.0163 memory: 13431 grad_norm: 3.8374 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2432 loss: 2.2432 2022/08/16 08:30:35 - mmengine - INFO - Epoch(train) [172][700/3757] lr: 2.4823e-02 eta: 1 day, 11:34:13 time: 0.4070 data_time: 0.0152 memory: 13431 grad_norm: 3.9579 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2591 loss: 2.2591 2022/08/16 08:31:16 - mmengine - INFO - Epoch(train) [172][800/3757] lr: 2.4823e-02 eta: 1 day, 11:33:33 time: 0.4055 data_time: 0.0149 memory: 13431 grad_norm: 3.8289 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2081 loss: 2.2081 2022/08/16 08:31:57 - mmengine - INFO - Epoch(train) [172][900/3757] lr: 2.4823e-02 eta: 1 day, 11:32:53 time: 0.4054 data_time: 0.0164 memory: 13431 grad_norm: 3.8298 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1507 loss: 2.1507 2022/08/16 08:32:38 - mmengine - INFO - Epoch(train) [172][1000/3757] lr: 2.4823e-02 eta: 1 day, 11:32:13 time: 0.4055 data_time: 0.0175 memory: 13431 grad_norm: 3.9059 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2152 loss: 2.2152 2022/08/16 08:33:19 - mmengine - INFO - Epoch(train) [172][1100/3757] lr: 2.4823e-02 eta: 1 day, 11:31:33 time: 0.4073 data_time: 0.0163 memory: 13431 grad_norm: 3.9059 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3422 loss: 2.3422 2022/08/16 08:34:00 - mmengine - INFO - Epoch(train) [172][1200/3757] lr: 2.4823e-02 eta: 1 day, 11:30:54 time: 0.4113 data_time: 0.0165 memory: 13431 grad_norm: 3.7894 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2430 loss: 2.2430 2022/08/16 08:34:41 - mmengine - INFO - Epoch(train) [172][1300/3757] lr: 2.4823e-02 eta: 1 day, 11:30:14 time: 0.4049 data_time: 0.0164 memory: 13431 grad_norm: 3.8830 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9388 loss: 1.9388 2022/08/16 08:35:22 - mmengine - INFO - Epoch(train) [172][1400/3757] lr: 2.4823e-02 eta: 1 day, 11:29:34 time: 0.4032 data_time: 0.0165 memory: 13431 grad_norm: 3.9001 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4235 loss: 2.4235 2022/08/16 08:36:03 - mmengine - INFO - Epoch(train) [172][1500/3757] lr: 2.4823e-02 eta: 1 day, 11:28:54 time: 0.4057 data_time: 0.0161 memory: 13431 grad_norm: 3.8502 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1830 loss: 2.1830 2022/08/16 08:36:25 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 08:36:44 - mmengine - INFO - Epoch(train) [172][1600/3757] lr: 2.4823e-02 eta: 1 day, 11:28:14 time: 0.4087 data_time: 0.0165 memory: 13431 grad_norm: 3.7328 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4095 loss: 2.4095 2022/08/16 08:37:25 - mmengine - INFO - Epoch(train) [172][1700/3757] lr: 2.4823e-02 eta: 1 day, 11:27:34 time: 0.4058 data_time: 0.0168 memory: 13431 grad_norm: 3.8105 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2979 loss: 2.2979 2022/08/16 08:38:06 - mmengine - INFO - Epoch(train) [172][1800/3757] lr: 2.4823e-02 eta: 1 day, 11:26:54 time: 0.4070 data_time: 0.0146 memory: 13431 grad_norm: 3.8267 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3917 loss: 2.3917 2022/08/16 08:38:47 - mmengine - INFO - Epoch(train) [172][1900/3757] lr: 2.4823e-02 eta: 1 day, 11:26:14 time: 0.4057 data_time: 0.0156 memory: 13431 grad_norm: 3.8131 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2697 loss: 2.2697 2022/08/16 08:39:28 - mmengine - INFO - Epoch(train) [172][2000/3757] lr: 2.4823e-02 eta: 1 day, 11:25:35 time: 0.4038 data_time: 0.0148 memory: 13431 grad_norm: 3.9001 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2429 loss: 2.2429 2022/08/16 08:40:09 - mmengine - INFO - Epoch(train) [172][2100/3757] lr: 2.4823e-02 eta: 1 day, 11:24:55 time: 0.4073 data_time: 0.0168 memory: 13431 grad_norm: 3.8541 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.4321 loss: 2.4321 2022/08/16 08:40:50 - mmengine - INFO - Epoch(train) [172][2200/3757] lr: 2.4823e-02 eta: 1 day, 11:24:15 time: 0.4065 data_time: 0.0158 memory: 13431 grad_norm: 3.7579 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9944 loss: 1.9944 2022/08/16 08:41:31 - mmengine - INFO - Epoch(train) [172][2300/3757] lr: 2.4823e-02 eta: 1 day, 11:23:35 time: 0.4187 data_time: 0.0153 memory: 13431 grad_norm: 3.8214 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1554 loss: 2.1554 2022/08/16 08:42:12 - mmengine - INFO - Epoch(train) [172][2400/3757] lr: 2.4823e-02 eta: 1 day, 11:22:55 time: 0.4106 data_time: 0.0179 memory: 13431 grad_norm: 3.7322 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9665 loss: 1.9665 2022/08/16 08:42:53 - mmengine - INFO - Epoch(train) [172][2500/3757] lr: 2.4823e-02 eta: 1 day, 11:22:15 time: 0.4057 data_time: 0.0154 memory: 13431 grad_norm: 3.9746 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6219 loss: 2.6219 2022/08/16 08:43:15 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 08:43:34 - mmengine - INFO - Epoch(train) [172][2600/3757] lr: 2.4823e-02 eta: 1 day, 11:21:35 time: 0.4046 data_time: 0.0156 memory: 13431 grad_norm: 3.7390 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1041 loss: 2.1041 2022/08/16 08:44:15 - mmengine - INFO - Epoch(train) [172][2700/3757] lr: 2.4823e-02 eta: 1 day, 11:20:55 time: 0.4072 data_time: 0.0161 memory: 13431 grad_norm: 3.8464 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2416 loss: 2.2416 2022/08/16 08:44:56 - mmengine - INFO - Epoch(train) [172][2800/3757] lr: 2.4823e-02 eta: 1 day, 11:20:16 time: 0.4067 data_time: 0.0155 memory: 13431 grad_norm: 3.7875 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2110 loss: 2.2110 2022/08/16 08:45:37 - mmengine - INFO - Epoch(train) [172][2900/3757] lr: 2.4823e-02 eta: 1 day, 11:19:36 time: 0.4033 data_time: 0.0153 memory: 13431 grad_norm: 3.9647 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9633 loss: 1.9633 2022/08/16 08:46:18 - mmengine - INFO - Epoch(train) [172][3000/3757] lr: 2.4823e-02 eta: 1 day, 11:18:56 time: 0.4171 data_time: 0.0150 memory: 13431 grad_norm: 3.8075 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3468 loss: 2.3468 2022/08/16 08:46:59 - mmengine - INFO - Epoch(train) [172][3100/3757] lr: 2.4823e-02 eta: 1 day, 11:18:16 time: 0.4064 data_time: 0.0164 memory: 13431 grad_norm: 3.9057 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0863 loss: 2.0863 2022/08/16 08:47:40 - mmengine - INFO - Epoch(train) [172][3200/3757] lr: 2.4823e-02 eta: 1 day, 11:17:36 time: 0.4059 data_time: 0.0159 memory: 13431 grad_norm: 3.7624 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9626 loss: 1.9626 2022/08/16 08:48:20 - mmengine - INFO - Epoch(train) [172][3300/3757] lr: 2.4823e-02 eta: 1 day, 11:16:56 time: 0.4084 data_time: 0.0157 memory: 13431 grad_norm: 3.7624 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.2615 loss: 2.2615 2022/08/16 08:49:01 - mmengine - INFO - Epoch(train) [172][3400/3757] lr: 2.4823e-02 eta: 1 day, 11:16:16 time: 0.4051 data_time: 0.0149 memory: 13431 grad_norm: 3.8969 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5382 loss: 2.5382 2022/08/16 08:49:43 - mmengine - INFO - Epoch(train) [172][3500/3757] lr: 2.4823e-02 eta: 1 day, 11:15:36 time: 0.4041 data_time: 0.0147 memory: 13431 grad_norm: 3.8758 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4182 loss: 2.4182 2022/08/16 08:50:04 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 08:50:24 - mmengine - INFO - Epoch(train) [172][3600/3757] lr: 2.4823e-02 eta: 1 day, 11:14:57 time: 0.4071 data_time: 0.0161 memory: 13431 grad_norm: 3.8423 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1239 loss: 2.1239 2022/08/16 08:51:05 - mmengine - INFO - Epoch(train) [172][3700/3757] lr: 2.4823e-02 eta: 1 day, 11:14:17 time: 0.4102 data_time: 0.0180 memory: 13431 grad_norm: 3.7545 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.4807 loss: 2.4807 2022/08/16 08:51:28 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 08:51:28 - mmengine - INFO - Epoch(train) [172][3757/3757] lr: 2.4823e-02 eta: 1 day, 11:14:01 time: 0.3906 data_time: 0.0138 memory: 13431 grad_norm: 3.8505 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.1312 loss: 2.1312 2022/08/16 08:51:28 - mmengine - INFO - Saving checkpoint at 172 epochs 2022/08/16 08:52:16 - mmengine - INFO - Epoch(train) [173][100/3757] lr: 2.4295e-02 eta: 1 day, 11:13:11 time: 0.4057 data_time: 0.0160 memory: 13431 grad_norm: 3.9693 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1494 loss: 2.1494 2022/08/16 08:52:57 - mmengine - INFO - Epoch(train) [173][200/3757] lr: 2.4295e-02 eta: 1 day, 11:12:31 time: 0.4062 data_time: 0.0164 memory: 13431 grad_norm: 3.7916 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3616 loss: 2.3616 2022/08/16 08:53:38 - mmengine - INFO - Epoch(train) [173][300/3757] lr: 2.4295e-02 eta: 1 day, 11:11:51 time: 0.4058 data_time: 0.0159 memory: 13431 grad_norm: 3.7830 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9680 loss: 1.9680 2022/08/16 08:54:19 - mmengine - INFO - Epoch(train) [173][400/3757] lr: 2.4295e-02 eta: 1 day, 11:11:11 time: 0.4072 data_time: 0.0156 memory: 13431 grad_norm: 4.0418 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4155 loss: 2.4155 2022/08/16 08:54:59 - mmengine - INFO - Epoch(train) [173][500/3757] lr: 2.4295e-02 eta: 1 day, 11:10:31 time: 0.4126 data_time: 0.0159 memory: 13431 grad_norm: 3.8031 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2499 loss: 2.2499 2022/08/16 08:55:40 - mmengine - INFO - Epoch(train) [173][600/3757] lr: 2.4295e-02 eta: 1 day, 11:09:52 time: 0.4068 data_time: 0.0152 memory: 13431 grad_norm: 3.9110 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4671 loss: 2.4671 2022/08/16 08:56:21 - mmengine - INFO - Epoch(train) [173][700/3757] lr: 2.4295e-02 eta: 1 day, 11:09:12 time: 0.4027 data_time: 0.0154 memory: 13431 grad_norm: 3.8390 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.4412 loss: 2.4412 2022/08/16 08:57:01 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 08:57:02 - mmengine - INFO - Epoch(train) [173][800/3757] lr: 2.4295e-02 eta: 1 day, 11:08:32 time: 0.4085 data_time: 0.0160 memory: 13431 grad_norm: 3.7481 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2317 loss: 2.2317 2022/08/16 08:57:43 - mmengine - INFO - Epoch(train) [173][900/3757] lr: 2.4295e-02 eta: 1 day, 11:07:52 time: 0.4069 data_time: 0.0160 memory: 13431 grad_norm: 3.8816 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3139 loss: 2.3139 2022/08/16 08:58:24 - mmengine - INFO - Epoch(train) [173][1000/3757] lr: 2.4295e-02 eta: 1 day, 11:07:12 time: 0.4033 data_time: 0.0146 memory: 13431 grad_norm: 3.9844 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2199 loss: 2.2199 2022/08/16 08:59:05 - mmengine - INFO - Epoch(train) [173][1100/3757] lr: 2.4295e-02 eta: 1 day, 11:06:32 time: 0.4060 data_time: 0.0151 memory: 13431 grad_norm: 4.0222 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2823 loss: 2.2823 2022/08/16 08:59:46 - mmengine - INFO - Epoch(train) [173][1200/3757] lr: 2.4295e-02 eta: 1 day, 11:05:52 time: 0.4061 data_time: 0.0149 memory: 13431 grad_norm: 3.9521 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2875 loss: 2.2875 2022/08/16 09:00:27 - mmengine - INFO - Epoch(train) [173][1300/3757] lr: 2.4295e-02 eta: 1 day, 11:05:12 time: 0.4062 data_time: 0.0146 memory: 13431 grad_norm: 3.7780 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2796 loss: 2.2796 2022/08/16 09:01:08 - mmengine - INFO - Epoch(train) [173][1400/3757] lr: 2.4295e-02 eta: 1 day, 11:04:32 time: 0.4097 data_time: 0.0156 memory: 13431 grad_norm: 3.8424 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1286 loss: 2.1286 2022/08/16 09:01:48 - mmengine - INFO - Epoch(train) [173][1500/3757] lr: 2.4295e-02 eta: 1 day, 11:03:52 time: 0.4080 data_time: 0.0161 memory: 13431 grad_norm: 3.8632 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2733 loss: 2.2733 2022/08/16 09:02:29 - mmengine - INFO - Epoch(train) [173][1600/3757] lr: 2.4295e-02 eta: 1 day, 11:03:12 time: 0.4058 data_time: 0.0164 memory: 13431 grad_norm: 4.0072 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3287 loss: 2.3287 2022/08/16 09:03:10 - mmengine - INFO - Epoch(train) [173][1700/3757] lr: 2.4295e-02 eta: 1 day, 11:02:32 time: 0.4049 data_time: 0.0154 memory: 13431 grad_norm: 3.7563 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0871 loss: 2.0871 2022/08/16 09:03:49 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 09:03:51 - mmengine - INFO - Epoch(train) [173][1800/3757] lr: 2.4295e-02 eta: 1 day, 11:01:52 time: 0.4112 data_time: 0.0164 memory: 13431 grad_norm: 3.9175 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1894 loss: 2.1894 2022/08/16 09:04:32 - mmengine - INFO - Epoch(train) [173][1900/3757] lr: 2.4295e-02 eta: 1 day, 11:01:12 time: 0.4041 data_time: 0.0154 memory: 13431 grad_norm: 3.9353 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9220 loss: 1.9220 2022/08/16 09:05:13 - mmengine - INFO - Epoch(train) [173][2000/3757] lr: 2.4295e-02 eta: 1 day, 11:00:32 time: 0.4072 data_time: 0.0162 memory: 13431 grad_norm: 3.7189 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3925 loss: 2.3925 2022/08/16 09:05:54 - mmengine - INFO - Epoch(train) [173][2100/3757] lr: 2.4295e-02 eta: 1 day, 10:59:52 time: 0.4063 data_time: 0.0151 memory: 13431 grad_norm: 3.9804 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.4138 loss: 2.4138 2022/08/16 09:06:34 - mmengine - INFO - Epoch(train) [173][2200/3757] lr: 2.4295e-02 eta: 1 day, 10:59:12 time: 0.4027 data_time: 0.0148 memory: 13431 grad_norm: 3.9409 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0534 loss: 2.0534 2022/08/16 09:07:15 - mmengine - INFO - Epoch(train) [173][2300/3757] lr: 2.4295e-02 eta: 1 day, 10:58:33 time: 0.4066 data_time: 0.0150 memory: 13431 grad_norm: 3.8737 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9824 loss: 1.9824 2022/08/16 09:07:56 - mmengine - INFO - Epoch(train) [173][2400/3757] lr: 2.4295e-02 eta: 1 day, 10:57:53 time: 0.4100 data_time: 0.0164 memory: 13431 grad_norm: 3.8739 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3287 loss: 2.3287 2022/08/16 09:08:37 - mmengine - INFO - Epoch(train) [173][2500/3757] lr: 2.4295e-02 eta: 1 day, 10:57:13 time: 0.4081 data_time: 0.0189 memory: 13431 grad_norm: 3.7719 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4685 loss: 2.4685 2022/08/16 09:09:18 - mmengine - INFO - Epoch(train) [173][2600/3757] lr: 2.4295e-02 eta: 1 day, 10:56:33 time: 0.4059 data_time: 0.0152 memory: 13431 grad_norm: 3.9256 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2808 loss: 2.2808 2022/08/16 09:09:59 - mmengine - INFO - Epoch(train) [173][2700/3757] lr: 2.4295e-02 eta: 1 day, 10:55:53 time: 0.4064 data_time: 0.0156 memory: 13431 grad_norm: 3.9110 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3776 loss: 2.3776 2022/08/16 09:10:38 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 09:10:40 - mmengine - INFO - Epoch(train) [173][2800/3757] lr: 2.4295e-02 eta: 1 day, 10:55:13 time: 0.4046 data_time: 0.0169 memory: 13431 grad_norm: 3.8800 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8304 loss: 1.8304 2022/08/16 09:11:21 - mmengine - INFO - Epoch(train) [173][2900/3757] lr: 2.4295e-02 eta: 1 day, 10:54:33 time: 0.4045 data_time: 0.0155 memory: 13431 grad_norm: 3.8093 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0496 loss: 2.0496 2022/08/16 09:12:02 - mmengine - INFO - Epoch(train) [173][3000/3757] lr: 2.4295e-02 eta: 1 day, 10:53:53 time: 0.4101 data_time: 0.0148 memory: 13431 grad_norm: 3.9724 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3803 loss: 2.3803 2022/08/16 09:12:43 - mmengine - INFO - Epoch(train) [173][3100/3757] lr: 2.4295e-02 eta: 1 day, 10:53:13 time: 0.4142 data_time: 0.0161 memory: 13431 grad_norm: 3.9385 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1245 loss: 2.1245 2022/08/16 09:13:24 - mmengine - INFO - Epoch(train) [173][3200/3757] lr: 2.4295e-02 eta: 1 day, 10:52:33 time: 0.4049 data_time: 0.0146 memory: 13431 grad_norm: 3.9447 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1789 loss: 2.1789 2022/08/16 09:14:05 - mmengine - INFO - Epoch(train) [173][3300/3757] lr: 2.4295e-02 eta: 1 day, 10:51:53 time: 0.4156 data_time: 0.0152 memory: 13431 grad_norm: 3.8482 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5778 loss: 2.5778 2022/08/16 09:14:46 - mmengine - INFO - Epoch(train) [173][3400/3757] lr: 2.4295e-02 eta: 1 day, 10:51:14 time: 0.4047 data_time: 0.0166 memory: 13431 grad_norm: 3.8211 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4204 loss: 2.4204 2022/08/16 09:15:27 - mmengine - INFO - Epoch(train) [173][3500/3757] lr: 2.4295e-02 eta: 1 day, 10:50:34 time: 0.4072 data_time: 0.0149 memory: 13431 grad_norm: 3.8789 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2334 loss: 2.2334 2022/08/16 09:16:07 - mmengine - INFO - Epoch(train) [173][3600/3757] lr: 2.4295e-02 eta: 1 day, 10:49:54 time: 0.4056 data_time: 0.0148 memory: 13431 grad_norm: 3.9411 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2785 loss: 2.2785 2022/08/16 09:16:48 - mmengine - INFO - Epoch(train) [173][3700/3757] lr: 2.4295e-02 eta: 1 day, 10:49:14 time: 0.4059 data_time: 0.0151 memory: 13431 grad_norm: 3.8194 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9970 loss: 1.9970 2022/08/16 09:17:11 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 09:17:11 - mmengine - INFO - Epoch(train) [173][3757/3757] lr: 2.4295e-02 eta: 1 day, 10:48:58 time: 0.3913 data_time: 0.0135 memory: 13431 grad_norm: 3.8401 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 2.1589 loss: 2.1589 2022/08/16 09:17:30 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 09:17:55 - mmengine - INFO - Epoch(train) [174][100/3757] lr: 2.3771e-02 eta: 1 day, 10:48:09 time: 0.4118 data_time: 0.0157 memory: 13431 grad_norm: 3.8330 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2184 loss: 2.2184 2022/08/16 09:18:36 - mmengine - INFO - Epoch(train) [174][200/3757] lr: 2.3771e-02 eta: 1 day, 10:47:29 time: 0.4079 data_time: 0.0154 memory: 13431 grad_norm: 3.8750 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8353 loss: 1.8353 2022/08/16 09:19:17 - mmengine - INFO - Epoch(train) [174][300/3757] lr: 2.3771e-02 eta: 1 day, 10:46:49 time: 0.4042 data_time: 0.0149 memory: 13431 grad_norm: 3.9570 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3547 loss: 2.3547 2022/08/16 09:19:58 - mmengine - INFO - Epoch(train) [174][400/3757] lr: 2.3771e-02 eta: 1 day, 10:46:09 time: 0.4057 data_time: 0.0157 memory: 13431 grad_norm: 3.9152 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0505 loss: 2.0505 2022/08/16 09:20:38 - mmengine - INFO - Epoch(train) [174][500/3757] lr: 2.3771e-02 eta: 1 day, 10:45:29 time: 0.4066 data_time: 0.0163 memory: 13431 grad_norm: 3.8346 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9495 loss: 1.9495 2022/08/16 09:21:19 - mmengine - INFO - Epoch(train) [174][600/3757] lr: 2.3771e-02 eta: 1 day, 10:44:49 time: 0.4157 data_time: 0.0163 memory: 13431 grad_norm: 3.8666 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0450 loss: 2.0450 2022/08/16 09:22:00 - mmengine - INFO - Epoch(train) [174][700/3757] lr: 2.3771e-02 eta: 1 day, 10:44:09 time: 0.4101 data_time: 0.0160 memory: 13431 grad_norm: 3.7151 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8598 loss: 1.8598 2022/08/16 09:22:41 - mmengine - INFO - Epoch(train) [174][800/3757] lr: 2.3771e-02 eta: 1 day, 10:43:30 time: 0.4119 data_time: 0.0156 memory: 13431 grad_norm: 3.8618 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4110 loss: 2.4110 2022/08/16 09:23:22 - mmengine - INFO - Epoch(train) [174][900/3757] lr: 2.3771e-02 eta: 1 day, 10:42:50 time: 0.4048 data_time: 0.0148 memory: 13431 grad_norm: 3.9479 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2138 loss: 2.2138 2022/08/16 09:24:03 - mmengine - INFO - Epoch(train) [174][1000/3757] lr: 2.3771e-02 eta: 1 day, 10:42:10 time: 0.4065 data_time: 0.0159 memory: 13431 grad_norm: 3.8548 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3292 loss: 2.3292 2022/08/16 09:24:19 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 09:24:44 - mmengine - INFO - Epoch(train) [174][1100/3757] lr: 2.3771e-02 eta: 1 day, 10:41:30 time: 0.4061 data_time: 0.0159 memory: 13431 grad_norm: 3.8573 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3511 loss: 2.3511 2022/08/16 09:25:25 - mmengine - INFO - Epoch(train) [174][1200/3757] lr: 2.3771e-02 eta: 1 day, 10:40:50 time: 0.4044 data_time: 0.0167 memory: 13431 grad_norm: 3.9465 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0840 loss: 2.0840 2022/08/16 09:26:06 - mmengine - INFO - Epoch(train) [174][1300/3757] lr: 2.3771e-02 eta: 1 day, 10:40:10 time: 0.4133 data_time: 0.0147 memory: 13431 grad_norm: 3.9828 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2396 loss: 2.2396 2022/08/16 09:26:47 - mmengine - INFO - Epoch(train) [174][1400/3757] lr: 2.3771e-02 eta: 1 day, 10:39:30 time: 0.4049 data_time: 0.0169 memory: 13431 grad_norm: 4.0098 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0047 loss: 2.0047 2022/08/16 09:27:28 - mmengine - INFO - Epoch(train) [174][1500/3757] lr: 2.3771e-02 eta: 1 day, 10:38:50 time: 0.4162 data_time: 0.0150 memory: 13431 grad_norm: 3.8833 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0772 loss: 2.0772 2022/08/16 09:28:09 - mmengine - INFO - Epoch(train) [174][1600/3757] lr: 2.3771e-02 eta: 1 day, 10:38:10 time: 0.4070 data_time: 0.0159 memory: 13431 grad_norm: 3.9139 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2779 loss: 2.2779 2022/08/16 09:28:50 - mmengine - INFO - Epoch(train) [174][1700/3757] lr: 2.3771e-02 eta: 1 day, 10:37:30 time: 0.4039 data_time: 0.0149 memory: 13431 grad_norm: 3.9164 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9679 loss: 1.9679 2022/08/16 09:29:31 - mmengine - INFO - Epoch(train) [174][1800/3757] lr: 2.3771e-02 eta: 1 day, 10:36:50 time: 0.4057 data_time: 0.0153 memory: 13431 grad_norm: 3.8256 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9217 loss: 1.9217 2022/08/16 09:30:12 - mmengine - INFO - Epoch(train) [174][1900/3757] lr: 2.3771e-02 eta: 1 day, 10:36:10 time: 0.4038 data_time: 0.0148 memory: 13431 grad_norm: 4.0217 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4402 loss: 2.4402 2022/08/16 09:30:53 - mmengine - INFO - Epoch(train) [174][2000/3757] lr: 2.3771e-02 eta: 1 day, 10:35:31 time: 0.4100 data_time: 0.0151 memory: 13431 grad_norm: 3.8195 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1665 loss: 2.1665 2022/08/16 09:31:09 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 09:31:34 - mmengine - INFO - Epoch(train) [174][2100/3757] lr: 2.3771e-02 eta: 1 day, 10:34:51 time: 0.4044 data_time: 0.0150 memory: 13431 grad_norm: 3.9795 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1343 loss: 2.1343 2022/08/16 09:32:15 - mmengine - INFO - Epoch(train) [174][2200/3757] lr: 2.3771e-02 eta: 1 day, 10:34:11 time: 0.4088 data_time: 0.0185 memory: 13431 grad_norm: 3.9019 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2155 loss: 2.2155 2022/08/16 09:32:56 - mmengine - INFO - Epoch(train) [174][2300/3757] lr: 2.3771e-02 eta: 1 day, 10:33:31 time: 0.4037 data_time: 0.0149 memory: 13431 grad_norm: 3.8665 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2722 loss: 2.2722 2022/08/16 09:33:37 - mmengine - INFO - Epoch(train) [174][2400/3757] lr: 2.3771e-02 eta: 1 day, 10:32:51 time: 0.4066 data_time: 0.0158 memory: 13431 grad_norm: 3.7766 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1366 loss: 2.1366 2022/08/16 09:34:18 - mmengine - INFO - Epoch(train) [174][2500/3757] lr: 2.3771e-02 eta: 1 day, 10:32:11 time: 0.4057 data_time: 0.0175 memory: 13431 grad_norm: 3.9549 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2664 loss: 2.2664 2022/08/16 09:34:58 - mmengine - INFO - Epoch(train) [174][2600/3757] lr: 2.3771e-02 eta: 1 day, 10:31:31 time: 0.4065 data_time: 0.0150 memory: 13431 grad_norm: 3.6794 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8308 loss: 1.8308 2022/08/16 09:35:39 - mmengine - INFO - Epoch(train) [174][2700/3757] lr: 2.3771e-02 eta: 1 day, 10:30:51 time: 0.4133 data_time: 0.0164 memory: 13431 grad_norm: 3.8474 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2847 loss: 2.2847 2022/08/16 09:36:20 - mmengine - INFO - Epoch(train) [174][2800/3757] lr: 2.3771e-02 eta: 1 day, 10:30:11 time: 0.4066 data_time: 0.0166 memory: 13431 grad_norm: 3.8126 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1627 loss: 2.1627 2022/08/16 09:37:01 - mmengine - INFO - Epoch(train) [174][2900/3757] lr: 2.3771e-02 eta: 1 day, 10:29:31 time: 0.4190 data_time: 0.0159 memory: 13431 grad_norm: 3.8982 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2018 loss: 2.2018 2022/08/16 09:37:42 - mmengine - INFO - Epoch(train) [174][3000/3757] lr: 2.3771e-02 eta: 1 day, 10:28:51 time: 0.4061 data_time: 0.0150 memory: 13431 grad_norm: 3.9506 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.2567 loss: 2.2567 2022/08/16 09:37:58 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 09:38:23 - mmengine - INFO - Epoch(train) [174][3100/3757] lr: 2.3771e-02 eta: 1 day, 10:28:11 time: 0.4047 data_time: 0.0149 memory: 13431 grad_norm: 3.7840 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1341 loss: 2.1341 2022/08/16 09:39:04 - mmengine - INFO - Epoch(train) [174][3200/3757] lr: 2.3771e-02 eta: 1 day, 10:27:32 time: 0.4039 data_time: 0.0149 memory: 13431 grad_norm: 4.0349 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2700 loss: 2.2700 2022/08/16 09:39:45 - mmengine - INFO - Epoch(train) [174][3300/3757] lr: 2.3771e-02 eta: 1 day, 10:26:52 time: 0.4046 data_time: 0.0159 memory: 13431 grad_norm: 3.8826 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1644 loss: 2.1644 2022/08/16 09:40:26 - mmengine - INFO - Epoch(train) [174][3400/3757] lr: 2.3771e-02 eta: 1 day, 10:26:12 time: 0.4050 data_time: 0.0154 memory: 13431 grad_norm: 3.9122 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.0328 loss: 2.0328 2022/08/16 09:41:07 - mmengine - INFO - Epoch(train) [174][3500/3757] lr: 2.3771e-02 eta: 1 day, 10:25:32 time: 0.4099 data_time: 0.0150 memory: 13431 grad_norm: 3.8448 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1713 loss: 2.1713 2022/08/16 09:41:48 - mmengine - INFO - Epoch(train) [174][3600/3757] lr: 2.3771e-02 eta: 1 day, 10:24:52 time: 0.4127 data_time: 0.0154 memory: 13431 grad_norm: 4.0125 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3470 loss: 2.3470 2022/08/16 09:42:29 - mmengine - INFO - Epoch(train) [174][3700/3757] lr: 2.3771e-02 eta: 1 day, 10:24:12 time: 0.4064 data_time: 0.0144 memory: 13431 grad_norm: 4.0256 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2229 loss: 2.2229 2022/08/16 09:42:52 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 09:42:52 - mmengine - INFO - Epoch(train) [174][3757/3757] lr: 2.3771e-02 eta: 1 day, 10:23:56 time: 0.3900 data_time: 0.0131 memory: 13431 grad_norm: 3.8193 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.1871 loss: 2.1871 2022/08/16 09:43:35 - mmengine - INFO - Epoch(train) [175][100/3757] lr: 2.3250e-02 eta: 1 day, 10:23:07 time: 0.4150 data_time: 0.0159 memory: 13431 grad_norm: 4.0440 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1546 loss: 2.1546 2022/08/16 09:44:16 - mmengine - INFO - Epoch(train) [175][200/3757] lr: 2.3250e-02 eta: 1 day, 10:22:27 time: 0.4092 data_time: 0.0162 memory: 13431 grad_norm: 3.8105 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3507 loss: 2.3507 2022/08/16 09:44:49 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 09:44:57 - mmengine - INFO - Epoch(train) [175][300/3757] lr: 2.3250e-02 eta: 1 day, 10:21:47 time: 0.4075 data_time: 0.0159 memory: 13431 grad_norm: 3.8912 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3619 loss: 2.3619 2022/08/16 09:45:38 - mmengine - INFO - Epoch(train) [175][400/3757] lr: 2.3250e-02 eta: 1 day, 10:21:07 time: 0.4042 data_time: 0.0155 memory: 13431 grad_norm: 3.9249 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3557 loss: 2.3557 2022/08/16 09:46:19 - mmengine - INFO - Epoch(train) [175][500/3757] lr: 2.3250e-02 eta: 1 day, 10:20:27 time: 0.4068 data_time: 0.0159 memory: 13431 grad_norm: 3.9349 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1011 loss: 2.1011 2022/08/16 09:47:00 - mmengine - INFO - Epoch(train) [175][600/3757] lr: 2.3250e-02 eta: 1 day, 10:19:47 time: 0.4146 data_time: 0.0145 memory: 13431 grad_norm: 3.8147 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5532 loss: 2.5532 2022/08/16 09:47:41 - mmengine - INFO - Epoch(train) [175][700/3757] lr: 2.3250e-02 eta: 1 day, 10:19:08 time: 0.4046 data_time: 0.0148 memory: 13431 grad_norm: 3.9914 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1960 loss: 2.1960 2022/08/16 09:48:22 - mmengine - INFO - Epoch(train) [175][800/3757] lr: 2.3250e-02 eta: 1 day, 10:18:28 time: 0.4099 data_time: 0.0158 memory: 13431 grad_norm: 3.8808 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0062 loss: 2.0062 2022/08/16 09:49:02 - mmengine - INFO - Epoch(train) [175][900/3757] lr: 2.3250e-02 eta: 1 day, 10:17:48 time: 0.4051 data_time: 0.0152 memory: 13431 grad_norm: 3.8758 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2706 loss: 2.2706 2022/08/16 09:49:43 - mmengine - INFO - Epoch(train) [175][1000/3757] lr: 2.3250e-02 eta: 1 day, 10:17:08 time: 0.4079 data_time: 0.0155 memory: 13431 grad_norm: 3.9535 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0121 loss: 2.0121 2022/08/16 09:50:24 - mmengine - INFO - Epoch(train) [175][1100/3757] lr: 2.3250e-02 eta: 1 day, 10:16:28 time: 0.4057 data_time: 0.0156 memory: 13431 grad_norm: 3.9798 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1080 loss: 2.1080 2022/08/16 09:51:05 - mmengine - INFO - Epoch(train) [175][1200/3757] lr: 2.3250e-02 eta: 1 day, 10:15:48 time: 0.4048 data_time: 0.0153 memory: 13431 grad_norm: 3.9037 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0410 loss: 2.0410 2022/08/16 09:51:39 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 09:51:46 - mmengine - INFO - Epoch(train) [175][1300/3757] lr: 2.3250e-02 eta: 1 day, 10:15:08 time: 0.4147 data_time: 0.0149 memory: 13431 grad_norm: 3.9526 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0899 loss: 2.0899 2022/08/16 09:52:27 - mmengine - INFO - Epoch(train) [175][1400/3757] lr: 2.3250e-02 eta: 1 day, 10:14:28 time: 0.4050 data_time: 0.0153 memory: 13431 grad_norm: 3.9762 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2683 loss: 2.2683 2022/08/16 09:53:08 - mmengine - INFO - Epoch(train) [175][1500/3757] lr: 2.3250e-02 eta: 1 day, 10:13:48 time: 0.4052 data_time: 0.0152 memory: 13431 grad_norm: 3.8772 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2939 loss: 2.2939 2022/08/16 09:53:49 - mmengine - INFO - Epoch(train) [175][1600/3757] lr: 2.3250e-02 eta: 1 day, 10:13:08 time: 0.4053 data_time: 0.0147 memory: 13431 grad_norm: 4.0116 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.4408 loss: 2.4408 2022/08/16 09:54:30 - mmengine - INFO - Epoch(train) [175][1700/3757] lr: 2.3250e-02 eta: 1 day, 10:12:28 time: 0.4067 data_time: 0.0161 memory: 13431 grad_norm: 3.9824 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4027 loss: 2.4027 2022/08/16 09:55:11 - mmengine - INFO - Epoch(train) [175][1800/3757] lr: 2.3250e-02 eta: 1 day, 10:11:48 time: 0.4063 data_time: 0.0157 memory: 13431 grad_norm: 3.8315 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1201 loss: 2.1201 2022/08/16 09:55:52 - mmengine - INFO - Epoch(train) [175][1900/3757] lr: 2.3250e-02 eta: 1 day, 10:11:08 time: 0.4073 data_time: 0.0165 memory: 13431 grad_norm: 3.9462 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1795 loss: 2.1795 2022/08/16 09:56:33 - mmengine - INFO - Epoch(train) [175][2000/3757] lr: 2.3250e-02 eta: 1 day, 10:10:28 time: 0.4117 data_time: 0.0158 memory: 13431 grad_norm: 3.9574 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.2396 loss: 2.2396 2022/08/16 09:57:14 - mmengine - INFO - Epoch(train) [175][2100/3757] lr: 2.3250e-02 eta: 1 day, 10:09:49 time: 0.4062 data_time: 0.0153 memory: 13431 grad_norm: 3.8578 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1832 loss: 2.1832 2022/08/16 09:57:55 - mmengine - INFO - Epoch(train) [175][2200/3757] lr: 2.3250e-02 eta: 1 day, 10:09:09 time: 0.4050 data_time: 0.0156 memory: 13431 grad_norm: 4.0342 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3108 loss: 2.3108 2022/08/16 09:58:28 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 09:58:36 - mmengine - INFO - Epoch(train) [175][2300/3757] lr: 2.3250e-02 eta: 1 day, 10:08:29 time: 0.4090 data_time: 0.0164 memory: 13431 grad_norm: 4.0116 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3411 loss: 2.3411 2022/08/16 09:59:17 - mmengine - INFO - Epoch(train) [175][2400/3757] lr: 2.3250e-02 eta: 1 day, 10:07:49 time: 0.4074 data_time: 0.0160 memory: 13431 grad_norm: 3.9373 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2552 loss: 2.2552 2022/08/16 09:59:58 - mmengine - INFO - Epoch(train) [175][2500/3757] lr: 2.3250e-02 eta: 1 day, 10:07:09 time: 0.4048 data_time: 0.0167 memory: 13431 grad_norm: 3.8619 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2584 loss: 2.2584 2022/08/16 10:00:39 - mmengine - INFO - Epoch(train) [175][2600/3757] lr: 2.3250e-02 eta: 1 day, 10:06:29 time: 0.4057 data_time: 0.0156 memory: 13431 grad_norm: 3.7811 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3696 loss: 2.3696 2022/08/16 10:01:20 - mmengine - INFO - Epoch(train) [175][2700/3757] lr: 2.3250e-02 eta: 1 day, 10:05:49 time: 0.4113 data_time: 0.0176 memory: 13431 grad_norm: 3.9483 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2221 loss: 2.2221 2022/08/16 10:02:01 - mmengine - INFO - Epoch(train) [175][2800/3757] lr: 2.3250e-02 eta: 1 day, 10:05:09 time: 0.4068 data_time: 0.0160 memory: 13431 grad_norm: 3.7502 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2443 loss: 2.2443 2022/08/16 10:02:42 - mmengine - INFO - Epoch(train) [175][2900/3757] lr: 2.3250e-02 eta: 1 day, 10:04:29 time: 0.4051 data_time: 0.0150 memory: 13431 grad_norm: 4.0189 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0402 loss: 2.0402 2022/08/16 10:03:23 - mmengine - INFO - Epoch(train) [175][3000/3757] lr: 2.3250e-02 eta: 1 day, 10:03:49 time: 0.4040 data_time: 0.0152 memory: 13431 grad_norm: 4.0876 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6526 loss: 2.6526 2022/08/16 10:04:04 - mmengine - INFO - Epoch(train) [175][3100/3757] lr: 2.3250e-02 eta: 1 day, 10:03:09 time: 0.4056 data_time: 0.0151 memory: 13431 grad_norm: 3.9067 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4475 loss: 2.4475 2022/08/16 10:04:45 - mmengine - INFO - Epoch(train) [175][3200/3757] lr: 2.3250e-02 eta: 1 day, 10:02:30 time: 0.4079 data_time: 0.0149 memory: 13431 grad_norm: 4.1127 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3431 loss: 2.3431 2022/08/16 10:05:18 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 10:05:26 - mmengine - INFO - Epoch(train) [175][3300/3757] lr: 2.3250e-02 eta: 1 day, 10:01:50 time: 0.4026 data_time: 0.0150 memory: 13431 grad_norm: 3.7923 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1433 loss: 2.1433 2022/08/16 10:06:07 - mmengine - INFO - Epoch(train) [175][3400/3757] lr: 2.3250e-02 eta: 1 day, 10:01:10 time: 0.4103 data_time: 0.0153 memory: 13431 grad_norm: 3.8505 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2559 loss: 2.2559 2022/08/16 10:06:48 - mmengine - INFO - Epoch(train) [175][3500/3757] lr: 2.3250e-02 eta: 1 day, 10:00:30 time: 0.4089 data_time: 0.0158 memory: 13431 grad_norm: 3.8159 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8787 loss: 1.8787 2022/08/16 10:07:29 - mmengine - INFO - Epoch(train) [175][3600/3757] lr: 2.3250e-02 eta: 1 day, 9:59:50 time: 0.4077 data_time: 0.0166 memory: 13431 grad_norm: 4.0528 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1556 loss: 2.1556 2022/08/16 10:08:10 - mmengine - INFO - Epoch(train) [175][3700/3757] lr: 2.3250e-02 eta: 1 day, 9:59:10 time: 0.4092 data_time: 0.0155 memory: 13431 grad_norm: 3.9294 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0754 loss: 2.0754 2022/08/16 10:08:33 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 10:08:33 - mmengine - INFO - Epoch(train) [175][3757/3757] lr: 2.3250e-02 eta: 1 day, 9:58:54 time: 0.3950 data_time: 0.0145 memory: 13431 grad_norm: 3.8612 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 1.9193 loss: 1.9193 2022/08/16 10:08:55 - mmengine - INFO - Epoch(val) [175][100/310] eta: 0:00:43 time: 0.2081 data_time: 0.0788 memory: 1974 2022/08/16 10:09:16 - mmengine - INFO - Epoch(val) [175][200/310] eta: 0:00:20 time: 0.1906 data_time: 0.0630 memory: 1974 2022/08/16 10:09:37 - mmengine - INFO - Epoch(val) [175][300/310] eta: 0:00:02 time: 0.2171 data_time: 0.0916 memory: 1974 2022/08/16 10:09:42 - mmengine - INFO - Epoch(val) [175][310/310] acc/top1: 0.5707 acc/top5: 0.8140 acc/mean1: 0.5706 2022/08/16 10:09:42 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_171.pth is removed 2022/08/16 10:09:47 - mmengine - INFO - The best checkpoint with 0.5707 acc/top1 at 176 epoch is saved to best_acc/top1_epoch_176.pth. 2022/08/16 10:10:29 - mmengine - INFO - Epoch(train) [176][100/3757] lr: 2.2734e-02 eta: 1 day, 9:58:05 time: 0.4070 data_time: 0.0168 memory: 13431 grad_norm: 3.8488 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0560 loss: 2.0560 2022/08/16 10:11:10 - mmengine - INFO - Epoch(train) [176][200/3757] lr: 2.2734e-02 eta: 1 day, 9:57:25 time: 0.4071 data_time: 0.0171 memory: 13431 grad_norm: 3.9111 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4302 loss: 2.4302 2022/08/16 10:11:51 - mmengine - INFO - Epoch(train) [176][300/3757] lr: 2.2734e-02 eta: 1 day, 9:56:45 time: 0.4070 data_time: 0.0156 memory: 13431 grad_norm: 3.8317 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1038 loss: 2.1038 2022/08/16 10:12:32 - mmengine - INFO - Epoch(train) [176][400/3757] lr: 2.2734e-02 eta: 1 day, 9:56:05 time: 0.4181 data_time: 0.0191 memory: 13431 grad_norm: 3.9622 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1037 loss: 2.1037 2022/08/16 10:13:13 - mmengine - INFO - Epoch(train) [176][500/3757] lr: 2.2734e-02 eta: 1 day, 9:55:25 time: 0.4042 data_time: 0.0152 memory: 13431 grad_norm: 3.8804 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0345 loss: 2.0345 2022/08/16 10:13:23 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 10:13:54 - mmengine - INFO - Epoch(train) [176][600/3757] lr: 2.2734e-02 eta: 1 day, 9:54:45 time: 0.4066 data_time: 0.0158 memory: 13431 grad_norm: 3.9794 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3169 loss: 2.3169 2022/08/16 10:14:35 - mmengine - INFO - Epoch(train) [176][700/3757] lr: 2.2734e-02 eta: 1 day, 9:54:05 time: 0.4133 data_time: 0.0150 memory: 13431 grad_norm: 4.0179 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0850 loss: 2.0850 2022/08/16 10:15:16 - mmengine - INFO - Epoch(train) [176][800/3757] lr: 2.2734e-02 eta: 1 day, 9:53:25 time: 0.4062 data_time: 0.0152 memory: 13431 grad_norm: 3.9058 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1972 loss: 2.1972 2022/08/16 10:15:57 - mmengine - INFO - Epoch(train) [176][900/3757] lr: 2.2734e-02 eta: 1 day, 9:52:45 time: 0.4055 data_time: 0.0155 memory: 13431 grad_norm: 3.9371 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9813 loss: 1.9813 2022/08/16 10:16:38 - mmengine - INFO - Epoch(train) [176][1000/3757] lr: 2.2734e-02 eta: 1 day, 9:52:06 time: 0.4084 data_time: 0.0169 memory: 13431 grad_norm: 3.9309 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0488 loss: 2.0488 2022/08/16 10:17:19 - mmengine - INFO - Epoch(train) [176][1100/3757] lr: 2.2734e-02 eta: 1 day, 9:51:26 time: 0.4061 data_time: 0.0155 memory: 13431 grad_norm: 4.1290 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2426 loss: 2.2426 2022/08/16 10:18:00 - mmengine - INFO - Epoch(train) [176][1200/3757] lr: 2.2734e-02 eta: 1 day, 9:50:46 time: 0.4051 data_time: 0.0156 memory: 13431 grad_norm: 3.8619 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1181 loss: 2.1181 2022/08/16 10:18:41 - mmengine - INFO - Epoch(train) [176][1300/3757] lr: 2.2734e-02 eta: 1 day, 9:50:06 time: 0.4077 data_time: 0.0145 memory: 13431 grad_norm: 3.8604 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0144 loss: 2.0144 2022/08/16 10:19:22 - mmengine - INFO - Epoch(train) [176][1400/3757] lr: 2.2734e-02 eta: 1 day, 9:49:26 time: 0.4116 data_time: 0.0160 memory: 13431 grad_norm: 3.8622 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9310 loss: 1.9310 2022/08/16 10:20:03 - mmengine - INFO - Epoch(train) [176][1500/3757] lr: 2.2734e-02 eta: 1 day, 9:48:46 time: 0.4169 data_time: 0.0170 memory: 13431 grad_norm: 3.8997 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2327 loss: 2.2327 2022/08/16 10:20:13 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 10:20:44 - mmengine - INFO - Epoch(train) [176][1600/3757] lr: 2.2734e-02 eta: 1 day, 9:48:06 time: 0.4060 data_time: 0.0155 memory: 13431 grad_norm: 3.9892 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1882 loss: 2.1882 2022/08/16 10:21:25 - mmengine - INFO - Epoch(train) [176][1700/3757] lr: 2.2734e-02 eta: 1 day, 9:47:26 time: 0.4074 data_time: 0.0155 memory: 13431 grad_norm: 3.9023 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2745 loss: 2.2745 2022/08/16 10:22:06 - mmengine - INFO - Epoch(train) [176][1800/3757] lr: 2.2734e-02 eta: 1 day, 9:46:46 time: 0.4053 data_time: 0.0154 memory: 13431 grad_norm: 4.0426 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2648 loss: 2.2648 2022/08/16 10:22:47 - mmengine - INFO - Epoch(train) [176][1900/3757] lr: 2.2734e-02 eta: 1 day, 9:46:06 time: 0.4045 data_time: 0.0159 memory: 13431 grad_norm: 4.0307 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2165 loss: 2.2165 2022/08/16 10:23:28 - mmengine - INFO - Epoch(train) [176][2000/3757] lr: 2.2734e-02 eta: 1 day, 9:45:26 time: 0.4054 data_time: 0.0158 memory: 13431 grad_norm: 3.9984 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0774 loss: 2.0774 2022/08/16 10:24:09 - mmengine - INFO - Epoch(train) [176][2100/3757] lr: 2.2734e-02 eta: 1 day, 9:44:47 time: 0.4111 data_time: 0.0162 memory: 13431 grad_norm: 3.8511 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2385 loss: 2.2385 2022/08/16 10:24:50 - mmengine - INFO - Epoch(train) [176][2200/3757] lr: 2.2734e-02 eta: 1 day, 9:44:07 time: 0.4054 data_time: 0.0159 memory: 13431 grad_norm: 3.9668 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2841 loss: 2.2841 2022/08/16 10:25:31 - mmengine - INFO - Epoch(train) [176][2300/3757] lr: 2.2734e-02 eta: 1 day, 9:43:27 time: 0.4050 data_time: 0.0145 memory: 13431 grad_norm: 3.9430 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2664 loss: 2.2664 2022/08/16 10:26:12 - mmengine - INFO - Epoch(train) [176][2400/3757] lr: 2.2734e-02 eta: 1 day, 9:42:47 time: 0.4047 data_time: 0.0154 memory: 13431 grad_norm: 3.9841 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1916 loss: 2.1916 2022/08/16 10:26:53 - mmengine - INFO - Epoch(train) [176][2500/3757] lr: 2.2734e-02 eta: 1 day, 9:42:07 time: 0.4095 data_time: 0.0155 memory: 13431 grad_norm: 3.9161 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1973 loss: 2.1973 2022/08/16 10:27:03 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 10:27:34 - mmengine - INFO - Epoch(train) [176][2600/3757] lr: 2.2734e-02 eta: 1 day, 9:41:27 time: 0.4045 data_time: 0.0155 memory: 13431 grad_norm: 3.9531 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0588 loss: 2.0588 2022/08/16 10:28:14 - mmengine - INFO - Epoch(train) [176][2700/3757] lr: 2.2734e-02 eta: 1 day, 9:40:47 time: 0.4047 data_time: 0.0159 memory: 13431 grad_norm: 4.1168 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3899 loss: 2.3899 2022/08/16 10:28:55 - mmengine - INFO - Epoch(train) [176][2800/3757] lr: 2.2734e-02 eta: 1 day, 9:40:07 time: 0.4093 data_time: 0.0156 memory: 13431 grad_norm: 4.0357 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1940 loss: 2.1940 2022/08/16 10:29:36 - mmengine - INFO - Epoch(train) [176][2900/3757] lr: 2.2734e-02 eta: 1 day, 9:39:27 time: 0.4066 data_time: 0.0157 memory: 13431 grad_norm: 3.8970 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4106 loss: 2.4106 2022/08/16 10:30:17 - mmengine - INFO - Epoch(train) [176][3000/3757] lr: 2.2734e-02 eta: 1 day, 9:38:47 time: 0.4039 data_time: 0.0151 memory: 13431 grad_norm: 3.9269 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9519 loss: 1.9519 2022/08/16 10:30:58 - mmengine - INFO - Epoch(train) [176][3100/3757] lr: 2.2734e-02 eta: 1 day, 9:38:07 time: 0.4043 data_time: 0.0146 memory: 13431 grad_norm: 3.9992 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1207 loss: 2.1207 2022/08/16 10:31:39 - mmengine - INFO - Epoch(train) [176][3200/3757] lr: 2.2734e-02 eta: 1 day, 9:37:27 time: 0.4057 data_time: 0.0179 memory: 13431 grad_norm: 3.9642 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3594 loss: 2.3594 2022/08/16 10:32:21 - mmengine - INFO - Epoch(train) [176][3300/3757] lr: 2.2734e-02 eta: 1 day, 9:36:47 time: 0.4066 data_time: 0.0144 memory: 13431 grad_norm: 3.9427 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0056 loss: 2.0056 2022/08/16 10:33:01 - mmengine - INFO - Epoch(train) [176][3400/3757] lr: 2.2734e-02 eta: 1 day, 9:36:07 time: 0.4040 data_time: 0.0157 memory: 13431 grad_norm: 3.9884 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1323 loss: 2.1323 2022/08/16 10:33:43 - mmengine - INFO - Epoch(train) [176][3500/3757] lr: 2.2734e-02 eta: 1 day, 9:35:28 time: 0.4125 data_time: 0.0154 memory: 13431 grad_norm: 3.9322 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1801 loss: 2.1801 2022/08/16 10:33:53 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 10:34:23 - mmengine - INFO - Epoch(train) [176][3600/3757] lr: 2.2734e-02 eta: 1 day, 9:34:48 time: 0.4135 data_time: 0.0167 memory: 13431 grad_norm: 3.9585 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0001 loss: 2.0001 2022/08/16 10:35:05 - mmengine - INFO - Epoch(train) [176][3700/3757] lr: 2.2734e-02 eta: 1 day, 9:34:08 time: 0.4147 data_time: 0.0148 memory: 13431 grad_norm: 3.9925 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7241 loss: 1.7241 2022/08/16 10:35:28 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 10:35:28 - mmengine - INFO - Epoch(train) [176][3757/3757] lr: 2.2734e-02 eta: 1 day, 9:33:52 time: 0.3926 data_time: 0.0137 memory: 13431 grad_norm: 3.9079 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.1108 loss: 2.1108 2022/08/16 10:35:28 - mmengine - INFO - Saving checkpoint at 176 epochs 2022/08/16 10:36:18 - mmengine - INFO - Epoch(train) [177][100/3757] lr: 2.2221e-02 eta: 1 day, 9:33:03 time: 0.4143 data_time: 0.0143 memory: 13431 grad_norm: 3.9017 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3048 loss: 2.3048 2022/08/16 10:36:59 - mmengine - INFO - Epoch(train) [177][200/3757] lr: 2.2221e-02 eta: 1 day, 9:32:23 time: 0.4051 data_time: 0.0153 memory: 13431 grad_norm: 3.8893 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1622 loss: 2.1622 2022/08/16 10:37:40 - mmengine - INFO - Epoch(train) [177][300/3757] lr: 2.2221e-02 eta: 1 day, 9:31:43 time: 0.4074 data_time: 0.0170 memory: 13431 grad_norm: 4.1199 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0314 loss: 2.0314 2022/08/16 10:38:21 - mmengine - INFO - Epoch(train) [177][400/3757] lr: 2.2221e-02 eta: 1 day, 9:31:03 time: 0.4089 data_time: 0.0155 memory: 13431 grad_norm: 4.0011 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3703 loss: 2.3703 2022/08/16 10:39:02 - mmengine - INFO - Epoch(train) [177][500/3757] lr: 2.2221e-02 eta: 1 day, 9:30:23 time: 0.4043 data_time: 0.0153 memory: 13431 grad_norm: 3.9642 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1613 loss: 2.1613 2022/08/16 10:39:43 - mmengine - INFO - Epoch(train) [177][600/3757] lr: 2.2221e-02 eta: 1 day, 9:29:43 time: 0.4092 data_time: 0.0152 memory: 13431 grad_norm: 4.1236 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0685 loss: 2.0685 2022/08/16 10:40:24 - mmengine - INFO - Epoch(train) [177][700/3757] lr: 2.2221e-02 eta: 1 day, 9:29:03 time: 0.4071 data_time: 0.0154 memory: 13431 grad_norm: 3.9880 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1748 loss: 2.1748 2022/08/16 10:40:52 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 10:41:05 - mmengine - INFO - Epoch(train) [177][800/3757] lr: 2.2221e-02 eta: 1 day, 9:28:23 time: 0.4065 data_time: 0.0154 memory: 13431 grad_norm: 4.1312 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1217 loss: 2.1217 2022/08/16 10:41:46 - mmengine - INFO - Epoch(train) [177][900/3757] lr: 2.2221e-02 eta: 1 day, 9:27:43 time: 0.4047 data_time: 0.0160 memory: 13431 grad_norm: 3.9052 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9890 loss: 1.9890 2022/08/16 10:42:27 - mmengine - INFO - Epoch(train) [177][1000/3757] lr: 2.2221e-02 eta: 1 day, 9:27:03 time: 0.4066 data_time: 0.0148 memory: 13431 grad_norm: 3.9390 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1350 loss: 2.1350 2022/08/16 10:43:08 - mmengine - INFO - Epoch(train) [177][1100/3757] lr: 2.2221e-02 eta: 1 day, 9:26:23 time: 0.4059 data_time: 0.0152 memory: 13431 grad_norm: 3.8658 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0399 loss: 2.0399 2022/08/16 10:43:49 - mmengine - INFO - Epoch(train) [177][1200/3757] lr: 2.2221e-02 eta: 1 day, 9:25:43 time: 0.4132 data_time: 0.0149 memory: 13431 grad_norm: 4.0095 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2801 loss: 2.2801 2022/08/16 10:44:30 - mmengine - INFO - Epoch(train) [177][1300/3757] lr: 2.2221e-02 eta: 1 day, 9:25:04 time: 0.4061 data_time: 0.0157 memory: 13431 grad_norm: 4.0767 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0383 loss: 2.0383 2022/08/16 10:45:11 - mmengine - INFO - Epoch(train) [177][1400/3757] lr: 2.2221e-02 eta: 1 day, 9:24:24 time: 0.4040 data_time: 0.0171 memory: 13431 grad_norm: 3.9242 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1327 loss: 2.1327 2022/08/16 10:45:52 - mmengine - INFO - Epoch(train) [177][1500/3757] lr: 2.2221e-02 eta: 1 day, 9:23:44 time: 0.4057 data_time: 0.0150 memory: 13431 grad_norm: 3.9619 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0658 loss: 2.0658 2022/08/16 10:46:33 - mmengine - INFO - Epoch(train) [177][1600/3757] lr: 2.2221e-02 eta: 1 day, 9:23:04 time: 0.4115 data_time: 0.0166 memory: 13431 grad_norm: 3.8687 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8612 loss: 1.8612 2022/08/16 10:47:14 - mmengine - INFO - Epoch(train) [177][1700/3757] lr: 2.2221e-02 eta: 1 day, 9:22:24 time: 0.4088 data_time: 0.0159 memory: 13431 grad_norm: 3.9734 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1020 loss: 2.1020 2022/08/16 10:47:42 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 10:47:55 - mmengine - INFO - Epoch(train) [177][1800/3757] lr: 2.2221e-02 eta: 1 day, 9:21:44 time: 0.4066 data_time: 0.0156 memory: 13431 grad_norm: 4.1388 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5554 loss: 2.5554 2022/08/16 10:48:36 - mmengine - INFO - Epoch(train) [177][1900/3757] lr: 2.2221e-02 eta: 1 day, 9:21:04 time: 0.4035 data_time: 0.0161 memory: 13431 grad_norm: 4.0602 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4852 loss: 2.4852 2022/08/16 10:49:17 - mmengine - INFO - Epoch(train) [177][2000/3757] lr: 2.2221e-02 eta: 1 day, 9:20:24 time: 0.4072 data_time: 0.0148 memory: 13431 grad_norm: 4.0813 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0801 loss: 2.0801 2022/08/16 10:49:58 - mmengine - INFO - Epoch(train) [177][2100/3757] lr: 2.2221e-02 eta: 1 day, 9:19:44 time: 0.4067 data_time: 0.0156 memory: 13431 grad_norm: 3.8566 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.0925 loss: 2.0925 2022/08/16 10:50:39 - mmengine - INFO - Epoch(train) [177][2200/3757] lr: 2.2221e-02 eta: 1 day, 9:19:04 time: 0.4044 data_time: 0.0153 memory: 13431 grad_norm: 3.9129 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3787 loss: 2.3787 2022/08/16 10:51:20 - mmengine - INFO - Epoch(train) [177][2300/3757] lr: 2.2221e-02 eta: 1 day, 9:18:24 time: 0.4046 data_time: 0.0164 memory: 13431 grad_norm: 3.9375 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4029 loss: 2.4029 2022/08/16 10:52:01 - mmengine - INFO - Epoch(train) [177][2400/3757] lr: 2.2221e-02 eta: 1 day, 9:17:44 time: 0.4043 data_time: 0.0161 memory: 13431 grad_norm: 4.1317 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3682 loss: 2.3682 2022/08/16 10:52:41 - mmengine - INFO - Epoch(train) [177][2500/3757] lr: 2.2221e-02 eta: 1 day, 9:17:04 time: 0.4107 data_time: 0.0166 memory: 13431 grad_norm: 4.0503 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3330 loss: 2.3330 2022/08/16 10:53:22 - mmengine - INFO - Epoch(train) [177][2600/3757] lr: 2.2221e-02 eta: 1 day, 9:16:24 time: 0.4047 data_time: 0.0157 memory: 13431 grad_norm: 4.1108 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1848 loss: 2.1848 2022/08/16 10:54:04 - mmengine - INFO - Epoch(train) [177][2700/3757] lr: 2.2221e-02 eta: 1 day, 9:15:45 time: 0.4089 data_time: 0.0154 memory: 13431 grad_norm: 3.9535 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2048 loss: 2.2048 2022/08/16 10:54:31 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 10:54:44 - mmengine - INFO - Epoch(train) [177][2800/3757] lr: 2.2221e-02 eta: 1 day, 9:15:05 time: 0.4065 data_time: 0.0157 memory: 13431 grad_norm: 3.9935 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1122 loss: 2.1122 2022/08/16 10:55:25 - mmengine - INFO - Epoch(train) [177][2900/3757] lr: 2.2221e-02 eta: 1 day, 9:14:25 time: 0.4040 data_time: 0.0151 memory: 13431 grad_norm: 4.2324 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0062 loss: 2.0062 2022/08/16 10:56:06 - mmengine - INFO - Epoch(train) [177][3000/3757] lr: 2.2221e-02 eta: 1 day, 9:13:45 time: 0.4079 data_time: 0.0168 memory: 13431 grad_norm: 3.9896 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2398 loss: 2.2398 2022/08/16 10:56:47 - mmengine - INFO - Epoch(train) [177][3100/3757] lr: 2.2221e-02 eta: 1 day, 9:13:05 time: 0.4056 data_time: 0.0156 memory: 13431 grad_norm: 4.0719 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2377 loss: 2.2377 2022/08/16 10:57:28 - mmengine - INFO - Epoch(train) [177][3200/3757] lr: 2.2221e-02 eta: 1 day, 9:12:25 time: 0.4061 data_time: 0.0147 memory: 13431 grad_norm: 4.0769 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3624 loss: 2.3624 2022/08/16 10:58:09 - mmengine - INFO - Epoch(train) [177][3300/3757] lr: 2.2221e-02 eta: 1 day, 9:11:45 time: 0.4052 data_time: 0.0145 memory: 13431 grad_norm: 4.0083 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4218 loss: 2.4218 2022/08/16 10:58:50 - mmengine - INFO - Epoch(train) [177][3400/3757] lr: 2.2221e-02 eta: 1 day, 9:11:05 time: 0.4055 data_time: 0.0160 memory: 13431 grad_norm: 3.9773 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0845 loss: 2.0845 2022/08/16 10:59:31 - mmengine - INFO - Epoch(train) [177][3500/3757] lr: 2.2221e-02 eta: 1 day, 9:10:25 time: 0.4047 data_time: 0.0157 memory: 13431 grad_norm: 4.0027 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0697 loss: 2.0697 2022/08/16 11:00:12 - mmengine - INFO - Epoch(train) [177][3600/3757] lr: 2.2221e-02 eta: 1 day, 9:09:45 time: 0.4060 data_time: 0.0155 memory: 13431 grad_norm: 3.9887 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9787 loss: 1.9787 2022/08/16 11:00:53 - mmengine - INFO - Epoch(train) [177][3700/3757] lr: 2.2221e-02 eta: 1 day, 9:09:05 time: 0.4043 data_time: 0.0148 memory: 13431 grad_norm: 3.9662 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0547 loss: 2.0547 2022/08/16 11:01:16 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 11:01:16 - mmengine - INFO - Epoch(train) [177][3757/3757] lr: 2.2221e-02 eta: 1 day, 9:08:49 time: 0.3951 data_time: 0.0135 memory: 13431 grad_norm: 3.9843 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.0702 loss: 2.0702 2022/08/16 11:01:22 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 11:01:59 - mmengine - INFO - Epoch(train) [178][100/3757] lr: 2.1713e-02 eta: 1 day, 9:08:00 time: 0.4133 data_time: 0.0154 memory: 13431 grad_norm: 4.1633 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3222 loss: 2.3222 2022/08/16 11:02:40 - mmengine - INFO - Epoch(train) [178][200/3757] lr: 2.1713e-02 eta: 1 day, 9:07:20 time: 0.4091 data_time: 0.0160 memory: 13431 grad_norm: 4.0433 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3640 loss: 2.3640 2022/08/16 11:03:21 - mmengine - INFO - Epoch(train) [178][300/3757] lr: 2.1713e-02 eta: 1 day, 9:06:40 time: 0.4069 data_time: 0.0154 memory: 13431 grad_norm: 3.9873 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0451 loss: 2.0451 2022/08/16 11:04:02 - mmengine - INFO - Epoch(train) [178][400/3757] lr: 2.1713e-02 eta: 1 day, 9:06:00 time: 0.4051 data_time: 0.0150 memory: 13431 grad_norm: 3.8857 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.9329 loss: 1.9329 2022/08/16 11:04:43 - mmengine - INFO - Epoch(train) [178][500/3757] lr: 2.1713e-02 eta: 1 day, 9:05:20 time: 0.4076 data_time: 0.0157 memory: 13431 grad_norm: 3.9577 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0622 loss: 2.0622 2022/08/16 11:05:24 - mmengine - INFO - Epoch(train) [178][600/3757] lr: 2.1713e-02 eta: 1 day, 9:04:40 time: 0.4126 data_time: 0.0149 memory: 13431 grad_norm: 4.0676 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2291 loss: 2.2291 2022/08/16 11:06:05 - mmengine - INFO - Epoch(train) [178][700/3757] lr: 2.1713e-02 eta: 1 day, 9:04:01 time: 0.4039 data_time: 0.0164 memory: 13431 grad_norm: 4.1228 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0978 loss: 2.0978 2022/08/16 11:06:46 - mmengine - INFO - Epoch(train) [178][800/3757] lr: 2.1713e-02 eta: 1 day, 9:03:21 time: 0.4084 data_time: 0.0149 memory: 13431 grad_norm: 3.8915 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1912 loss: 2.1912 2022/08/16 11:07:27 - mmengine - INFO - Epoch(train) [178][900/3757] lr: 2.1713e-02 eta: 1 day, 9:02:41 time: 0.4109 data_time: 0.0153 memory: 13431 grad_norm: 4.0013 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0084 loss: 2.0084 2022/08/16 11:08:08 - mmengine - INFO - Epoch(train) [178][1000/3757] lr: 2.1713e-02 eta: 1 day, 9:02:01 time: 0.4045 data_time: 0.0151 memory: 13431 grad_norm: 3.9702 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1219 loss: 2.1219 2022/08/16 11:08:12 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 11:08:49 - mmengine - INFO - Epoch(train) [178][1100/3757] lr: 2.1713e-02 eta: 1 day, 9:01:21 time: 0.4151 data_time: 0.0161 memory: 13431 grad_norm: 3.9822 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3415 loss: 2.3415 2022/08/16 11:09:30 - mmengine - INFO - Epoch(train) [178][1200/3757] lr: 2.1713e-02 eta: 1 day, 9:00:41 time: 0.4052 data_time: 0.0154 memory: 13431 grad_norm: 4.0718 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0673 loss: 2.0673 2022/08/16 11:10:11 - mmengine - INFO - Epoch(train) [178][1300/3757] lr: 2.1713e-02 eta: 1 day, 9:00:01 time: 0.4110 data_time: 0.0152 memory: 13431 grad_norm: 4.0140 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4347 loss: 2.4347 2022/08/16 11:10:52 - mmengine - INFO - Epoch(train) [178][1400/3757] lr: 2.1713e-02 eta: 1 day, 8:59:21 time: 0.4050 data_time: 0.0148 memory: 13431 grad_norm: 4.0188 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2328 loss: 2.2328 2022/08/16 11:11:33 - mmengine - INFO - Epoch(train) [178][1500/3757] lr: 2.1713e-02 eta: 1 day, 8:58:41 time: 0.4063 data_time: 0.0152 memory: 13431 grad_norm: 4.0022 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3975 loss: 2.3975 2022/08/16 11:12:14 - mmengine - INFO - Epoch(train) [178][1600/3757] lr: 2.1713e-02 eta: 1 day, 8:58:01 time: 0.4089 data_time: 0.0154 memory: 13431 grad_norm: 3.9112 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9869 loss: 1.9869 2022/08/16 11:12:55 - mmengine - INFO - Epoch(train) [178][1700/3757] lr: 2.1713e-02 eta: 1 day, 8:57:21 time: 0.4056 data_time: 0.0153 memory: 13431 grad_norm: 3.8701 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2400 loss: 2.2400 2022/08/16 11:13:36 - mmengine - INFO - Epoch(train) [178][1800/3757] lr: 2.1713e-02 eta: 1 day, 8:56:41 time: 0.4063 data_time: 0.0159 memory: 13431 grad_norm: 3.8473 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3365 loss: 2.3365 2022/08/16 11:14:17 - mmengine - INFO - Epoch(train) [178][1900/3757] lr: 2.1713e-02 eta: 1 day, 8:56:02 time: 0.4070 data_time: 0.0166 memory: 13431 grad_norm: 3.9842 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1444 loss: 2.1444 2022/08/16 11:14:58 - mmengine - INFO - Epoch(train) [178][2000/3757] lr: 2.1713e-02 eta: 1 day, 8:55:22 time: 0.4076 data_time: 0.0157 memory: 13431 grad_norm: 4.1221 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1708 loss: 2.1708 2022/08/16 11:15:03 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 11:15:39 - mmengine - INFO - Epoch(train) [178][2100/3757] lr: 2.1713e-02 eta: 1 day, 8:54:42 time: 0.4044 data_time: 0.0150 memory: 13431 grad_norm: 4.0710 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3513 loss: 2.3513 2022/08/16 11:16:20 - mmengine - INFO - Epoch(train) [178][2200/3757] lr: 2.1713e-02 eta: 1 day, 8:54:02 time: 0.4087 data_time: 0.0155 memory: 13431 grad_norm: 3.9810 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2282 loss: 2.2282 2022/08/16 11:17:01 - mmengine - INFO - Epoch(train) [178][2300/3757] lr: 2.1713e-02 eta: 1 day, 8:53:22 time: 0.4096 data_time: 0.0159 memory: 13431 grad_norm: 3.8186 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.3706 loss: 2.3706 2022/08/16 11:17:42 - mmengine - INFO - Epoch(train) [178][2400/3757] lr: 2.1713e-02 eta: 1 day, 8:52:42 time: 0.4076 data_time: 0.0154 memory: 13431 grad_norm: 3.8892 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1600 loss: 2.1600 2022/08/16 11:18:23 - mmengine - INFO - Epoch(train) [178][2500/3757] lr: 2.1713e-02 eta: 1 day, 8:52:02 time: 0.4048 data_time: 0.0161 memory: 13431 grad_norm: 4.0580 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4694 loss: 2.4694 2022/08/16 11:19:04 - mmengine - INFO - Epoch(train) [178][2600/3757] lr: 2.1713e-02 eta: 1 day, 8:51:22 time: 0.4049 data_time: 0.0163 memory: 13431 grad_norm: 3.9919 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2177 loss: 2.2177 2022/08/16 11:19:45 - mmengine - INFO - Epoch(train) [178][2700/3757] lr: 2.1713e-02 eta: 1 day, 8:50:42 time: 0.4113 data_time: 0.0160 memory: 13431 grad_norm: 4.1101 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2924 loss: 2.2924 2022/08/16 11:20:26 - mmengine - INFO - Epoch(train) [178][2800/3757] lr: 2.1713e-02 eta: 1 day, 8:50:02 time: 0.4084 data_time: 0.0153 memory: 13431 grad_norm: 3.8647 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1718 loss: 2.1718 2022/08/16 11:21:07 - mmengine - INFO - Epoch(train) [178][2900/3757] lr: 2.1713e-02 eta: 1 day, 8:49:22 time: 0.4075 data_time: 0.0172 memory: 13431 grad_norm: 4.1213 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5328 loss: 2.5328 2022/08/16 11:21:48 - mmengine - INFO - Epoch(train) [178][3000/3757] lr: 2.1713e-02 eta: 1 day, 8:48:42 time: 0.4059 data_time: 0.0159 memory: 13431 grad_norm: 4.0586 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0863 loss: 2.0863 2022/08/16 11:21:52 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 11:22:29 - mmengine - INFO - Epoch(train) [178][3100/3757] lr: 2.1713e-02 eta: 1 day, 8:48:02 time: 0.4066 data_time: 0.0171 memory: 13431 grad_norm: 4.0686 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1457 loss: 2.1457 2022/08/16 11:23:10 - mmengine - INFO - Epoch(train) [178][3200/3757] lr: 2.1713e-02 eta: 1 day, 8:47:22 time: 0.4187 data_time: 0.0160 memory: 13431 grad_norm: 4.1274 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2463 loss: 2.2463 2022/08/16 11:23:51 - mmengine - INFO - Epoch(train) [178][3300/3757] lr: 2.1713e-02 eta: 1 day, 8:46:42 time: 0.4071 data_time: 0.0165 memory: 13431 grad_norm: 3.9217 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1905 loss: 2.1905 2022/08/16 11:24:32 - mmengine - INFO - Epoch(train) [178][3400/3757] lr: 2.1713e-02 eta: 1 day, 8:46:03 time: 0.4162 data_time: 0.0146 memory: 13431 grad_norm: 3.9344 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9505 loss: 1.9505 2022/08/16 11:25:13 - mmengine - INFO - Epoch(train) [178][3500/3757] lr: 2.1713e-02 eta: 1 day, 8:45:23 time: 0.4063 data_time: 0.0149 memory: 13431 grad_norm: 4.1740 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2851 loss: 2.2851 2022/08/16 11:25:54 - mmengine - INFO - Epoch(train) [178][3600/3757] lr: 2.1713e-02 eta: 1 day, 8:44:43 time: 0.4072 data_time: 0.0152 memory: 13431 grad_norm: 4.0989 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9272 loss: 1.9272 2022/08/16 11:26:35 - mmengine - INFO - Epoch(train) [178][3700/3757] lr: 2.1713e-02 eta: 1 day, 8:44:03 time: 0.4040 data_time: 0.0155 memory: 13431 grad_norm: 4.0641 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3930 loss: 2.3930 2022/08/16 11:26:58 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 11:26:58 - mmengine - INFO - Epoch(train) [178][3757/3757] lr: 2.1713e-02 eta: 1 day, 8:43:47 time: 0.3929 data_time: 0.0137 memory: 13431 grad_norm: 3.9842 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 2.2447 loss: 2.2447 2022/08/16 11:27:41 - mmengine - INFO - Epoch(train) [179][100/3757] lr: 2.1210e-02 eta: 1 day, 8:42:58 time: 0.4082 data_time: 0.0164 memory: 13431 grad_norm: 3.9667 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0387 loss: 2.0387 2022/08/16 11:28:22 - mmengine - INFO - Epoch(train) [179][200/3757] lr: 2.1210e-02 eta: 1 day, 8:42:18 time: 0.4127 data_time: 0.0149 memory: 13431 grad_norm: 3.9334 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2116 loss: 2.2116 2022/08/16 11:28:45 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 11:29:04 - mmengine - INFO - Epoch(train) [179][300/3757] lr: 2.1210e-02 eta: 1 day, 8:41:38 time: 0.4067 data_time: 0.0170 memory: 13431 grad_norm: 3.9253 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3212 loss: 2.3212 2022/08/16 11:29:44 - mmengine - INFO - Epoch(train) [179][400/3757] lr: 2.1210e-02 eta: 1 day, 8:40:58 time: 0.4055 data_time: 0.0150 memory: 13431 grad_norm: 3.9207 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2004 loss: 2.2004 2022/08/16 11:30:25 - mmengine - INFO - Epoch(train) [179][500/3757] lr: 2.1210e-02 eta: 1 day, 8:40:18 time: 0.4067 data_time: 0.0162 memory: 13431 grad_norm: 4.1018 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1317 loss: 2.1317 2022/08/16 11:31:06 - mmengine - INFO - Epoch(train) [179][600/3757] lr: 2.1210e-02 eta: 1 day, 8:39:38 time: 0.4065 data_time: 0.0145 memory: 13431 grad_norm: 3.9438 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2466 loss: 2.2466 2022/08/16 11:31:47 - mmengine - INFO - Epoch(train) [179][700/3757] lr: 2.1210e-02 eta: 1 day, 8:38:58 time: 0.4081 data_time: 0.0156 memory: 13431 grad_norm: 4.0849 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3649 loss: 2.3649 2022/08/16 11:32:28 - mmengine - INFO - Epoch(train) [179][800/3757] lr: 2.1210e-02 eta: 1 day, 8:38:18 time: 0.4059 data_time: 0.0160 memory: 13431 grad_norm: 4.0324 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4068 loss: 2.4068 2022/08/16 11:33:09 - mmengine - INFO - Epoch(train) [179][900/3757] lr: 2.1210e-02 eta: 1 day, 8:37:38 time: 0.4131 data_time: 0.0159 memory: 13431 grad_norm: 4.1252 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2245 loss: 2.2245 2022/08/16 11:33:50 - mmengine - INFO - Epoch(train) [179][1000/3757] lr: 2.1210e-02 eta: 1 day, 8:36:59 time: 0.4056 data_time: 0.0142 memory: 13431 grad_norm: 4.1026 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.2102 loss: 2.2102 2022/08/16 11:34:31 - mmengine - INFO - Epoch(train) [179][1100/3757] lr: 2.1210e-02 eta: 1 day, 8:36:19 time: 0.4054 data_time: 0.0153 memory: 13431 grad_norm: 4.0504 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.4169 loss: 2.4169 2022/08/16 11:35:12 - mmengine - INFO - Epoch(train) [179][1200/3757] lr: 2.1210e-02 eta: 1 day, 8:35:39 time: 0.4076 data_time: 0.0147 memory: 13431 grad_norm: 4.1809 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0565 loss: 2.0565 2022/08/16 11:35:34 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 11:35:53 - mmengine - INFO - Epoch(train) [179][1300/3757] lr: 2.1210e-02 eta: 1 day, 8:34:59 time: 0.4074 data_time: 0.0160 memory: 13431 grad_norm: 4.0507 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2032 loss: 2.2032 2022/08/16 11:36:34 - mmengine - INFO - Epoch(train) [179][1400/3757] lr: 2.1210e-02 eta: 1 day, 8:34:19 time: 0.4132 data_time: 0.0153 memory: 13431 grad_norm: 4.0303 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2391 loss: 2.2391 2022/08/16 11:37:15 - mmengine - INFO - Epoch(train) [179][1500/3757] lr: 2.1210e-02 eta: 1 day, 8:33:39 time: 0.4048 data_time: 0.0150 memory: 13431 grad_norm: 4.0730 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8926 loss: 1.8926 2022/08/16 11:37:56 - mmengine - INFO - Epoch(train) [179][1600/3757] lr: 2.1210e-02 eta: 1 day, 8:32:59 time: 0.4129 data_time: 0.0151 memory: 13431 grad_norm: 4.0788 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0161 loss: 2.0161 2022/08/16 11:38:38 - mmengine - INFO - Epoch(train) [179][1700/3757] lr: 2.1210e-02 eta: 1 day, 8:32:19 time: 0.4119 data_time: 0.0165 memory: 13431 grad_norm: 4.0418 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1491 loss: 2.1491 2022/08/16 11:39:19 - mmengine - INFO - Epoch(train) [179][1800/3757] lr: 2.1210e-02 eta: 1 day, 8:31:39 time: 0.4137 data_time: 0.0179 memory: 13431 grad_norm: 4.0216 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0725 loss: 2.0725 2022/08/16 11:40:00 - mmengine - INFO - Epoch(train) [179][1900/3757] lr: 2.1210e-02 eta: 1 day, 8:30:59 time: 0.4098 data_time: 0.0163 memory: 13431 grad_norm: 4.0764 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1572 loss: 2.1572 2022/08/16 11:40:41 - mmengine - INFO - Epoch(train) [179][2000/3757] lr: 2.1210e-02 eta: 1 day, 8:30:20 time: 0.4101 data_time: 0.0167 memory: 13431 grad_norm: 3.9070 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1755 loss: 2.1755 2022/08/16 11:41:22 - mmengine - INFO - Epoch(train) [179][2100/3757] lr: 2.1210e-02 eta: 1 day, 8:29:40 time: 0.4212 data_time: 0.0185 memory: 13431 grad_norm: 4.1438 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3037 loss: 2.3037 2022/08/16 11:42:03 - mmengine - INFO - Epoch(train) [179][2200/3757] lr: 2.1210e-02 eta: 1 day, 8:29:00 time: 0.4091 data_time: 0.0158 memory: 13431 grad_norm: 4.2030 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3577 loss: 2.3577 2022/08/16 11:42:26 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 11:42:44 - mmengine - INFO - Epoch(train) [179][2300/3757] lr: 2.1210e-02 eta: 1 day, 8:28:20 time: 0.4114 data_time: 0.0159 memory: 13431 grad_norm: 4.0155 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0919 loss: 2.0919 2022/08/16 11:43:26 - mmengine - INFO - Epoch(train) [179][2400/3757] lr: 2.1210e-02 eta: 1 day, 8:27:40 time: 0.4070 data_time: 0.0152 memory: 13431 grad_norm: 4.0586 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9228 loss: 1.9228 2022/08/16 11:44:08 - mmengine - INFO - Epoch(train) [179][2500/3757] lr: 2.1210e-02 eta: 1 day, 8:27:01 time: 0.4182 data_time: 0.0146 memory: 13431 grad_norm: 3.9637 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0792 loss: 2.0792 2022/08/16 11:44:49 - mmengine - INFO - Epoch(train) [179][2600/3757] lr: 2.1210e-02 eta: 1 day, 8:26:21 time: 0.4080 data_time: 0.0151 memory: 13431 grad_norm: 4.0672 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8863 loss: 1.8863 2022/08/16 11:45:30 - mmengine - INFO - Epoch(train) [179][2700/3757] lr: 2.1210e-02 eta: 1 day, 8:25:41 time: 0.4044 data_time: 0.0151 memory: 13431 grad_norm: 3.9835 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1218 loss: 2.1218 2022/08/16 11:46:11 - mmengine - INFO - Epoch(train) [179][2800/3757] lr: 2.1210e-02 eta: 1 day, 8:25:01 time: 0.4152 data_time: 0.0162 memory: 13431 grad_norm: 4.0438 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1846 loss: 2.1846 2022/08/16 11:46:53 - mmengine - INFO - Epoch(train) [179][2900/3757] lr: 2.1210e-02 eta: 1 day, 8:24:21 time: 0.4540 data_time: 0.0169 memory: 13431 grad_norm: 3.9008 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5270 loss: 2.5270 2022/08/16 11:47:34 - mmengine - INFO - Epoch(train) [179][3000/3757] lr: 2.1210e-02 eta: 1 day, 8:23:42 time: 0.4129 data_time: 0.0162 memory: 13431 grad_norm: 4.0831 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2469 loss: 2.2469 2022/08/16 11:48:16 - mmengine - INFO - Epoch(train) [179][3100/3757] lr: 2.1210e-02 eta: 1 day, 8:23:02 time: 0.4055 data_time: 0.0178 memory: 13431 grad_norm: 3.9403 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0490 loss: 2.0490 2022/08/16 11:48:57 - mmengine - INFO - Epoch(train) [179][3200/3757] lr: 2.1210e-02 eta: 1 day, 8:22:22 time: 0.4079 data_time: 0.0155 memory: 13431 grad_norm: 4.0224 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4584 loss: 2.4584 2022/08/16 11:49:19 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 11:49:38 - mmengine - INFO - Epoch(train) [179][3300/3757] lr: 2.1210e-02 eta: 1 day, 8:21:42 time: 0.4071 data_time: 0.0158 memory: 13431 grad_norm: 4.0385 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3196 loss: 2.3196 2022/08/16 11:50:19 - mmengine - INFO - Epoch(train) [179][3400/3757] lr: 2.1210e-02 eta: 1 day, 8:21:02 time: 0.4094 data_time: 0.0165 memory: 13431 grad_norm: 3.8631 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1355 loss: 2.1355 2022/08/16 11:51:00 - mmengine - INFO - Epoch(train) [179][3500/3757] lr: 2.1210e-02 eta: 1 day, 8:20:22 time: 0.4120 data_time: 0.0150 memory: 13431 grad_norm: 4.0647 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0748 loss: 2.0748 2022/08/16 11:51:41 - mmengine - INFO - Epoch(train) [179][3600/3757] lr: 2.1210e-02 eta: 1 day, 8:19:42 time: 0.4048 data_time: 0.0155 memory: 13431 grad_norm: 4.1549 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2074 loss: 2.2074 2022/08/16 11:52:22 - mmengine - INFO - Epoch(train) [179][3700/3757] lr: 2.1210e-02 eta: 1 day, 8:19:02 time: 0.4135 data_time: 0.0159 memory: 13431 grad_norm: 4.0378 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4460 loss: 2.4460 2022/08/16 11:52:45 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 11:52:45 - mmengine - INFO - Epoch(train) [179][3757/3757] lr: 2.1210e-02 eta: 1 day, 8:18:46 time: 0.3969 data_time: 0.0140 memory: 13431 grad_norm: 4.1019 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.4284 loss: 2.4284 2022/08/16 11:53:28 - mmengine - INFO - Epoch(train) [180][100/3757] lr: 2.0710e-02 eta: 1 day, 8:17:57 time: 0.4056 data_time: 0.0161 memory: 13431 grad_norm: 4.0442 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1735 loss: 2.1735 2022/08/16 11:54:09 - mmengine - INFO - Epoch(train) [180][200/3757] lr: 2.0710e-02 eta: 1 day, 8:17:18 time: 0.4092 data_time: 0.0158 memory: 13431 grad_norm: 4.0190 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3645 loss: 2.3645 2022/08/16 11:54:50 - mmengine - INFO - Epoch(train) [180][300/3757] lr: 2.0710e-02 eta: 1 day, 8:16:38 time: 0.4089 data_time: 0.0154 memory: 13431 grad_norm: 4.0990 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9770 loss: 1.9770 2022/08/16 11:55:31 - mmengine - INFO - Epoch(train) [180][400/3757] lr: 2.0710e-02 eta: 1 day, 8:15:58 time: 0.4062 data_time: 0.0169 memory: 13431 grad_norm: 4.0542 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0154 loss: 2.0154 2022/08/16 11:56:11 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 11:56:12 - mmengine - INFO - Epoch(train) [180][500/3757] lr: 2.0710e-02 eta: 1 day, 8:15:18 time: 0.4064 data_time: 0.0157 memory: 13431 grad_norm: 4.0105 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0215 loss: 2.0215 2022/08/16 11:56:53 - mmengine - INFO - Epoch(train) [180][600/3757] lr: 2.0710e-02 eta: 1 day, 8:14:38 time: 0.4029 data_time: 0.0150 memory: 13431 grad_norm: 4.1994 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0599 loss: 2.0599 2022/08/16 11:57:34 - mmengine - INFO - Epoch(train) [180][700/3757] lr: 2.0710e-02 eta: 1 day, 8:13:58 time: 0.4114 data_time: 0.0152 memory: 13431 grad_norm: 4.1406 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0845 loss: 2.0845 2022/08/16 11:58:15 - mmengine - INFO - Epoch(train) [180][800/3757] lr: 2.0710e-02 eta: 1 day, 8:13:18 time: 0.4053 data_time: 0.0154 memory: 13431 grad_norm: 4.2072 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0375 loss: 2.0375 2022/08/16 11:58:56 - mmengine - INFO - Epoch(train) [180][900/3757] lr: 2.0710e-02 eta: 1 day, 8:12:38 time: 0.4060 data_time: 0.0155 memory: 13431 grad_norm: 3.9648 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1796 loss: 2.1796 2022/08/16 11:59:37 - mmengine - INFO - Epoch(train) [180][1000/3757] lr: 2.0710e-02 eta: 1 day, 8:11:58 time: 0.4034 data_time: 0.0154 memory: 13431 grad_norm: 4.1090 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1246 loss: 2.1246 2022/08/16 12:00:23 - mmengine - INFO - Epoch(train) [180][1100/3757] lr: 2.0710e-02 eta: 1 day, 8:11:20 time: 0.4097 data_time: 0.0167 memory: 13431 grad_norm: 4.1322 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2467 loss: 2.2467 2022/08/16 12:01:05 - mmengine - INFO - Epoch(train) [180][1200/3757] lr: 2.0710e-02 eta: 1 day, 8:10:41 time: 0.4379 data_time: 0.0161 memory: 13431 grad_norm: 3.9728 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3274 loss: 2.3274 2022/08/16 12:01:46 - mmengine - INFO - Epoch(train) [180][1300/3757] lr: 2.0710e-02 eta: 1 day, 8:10:01 time: 0.4116 data_time: 0.0154 memory: 13431 grad_norm: 4.2303 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3122 loss: 2.3122 2022/08/16 12:02:27 - mmengine - INFO - Epoch(train) [180][1400/3757] lr: 2.0710e-02 eta: 1 day, 8:09:21 time: 0.4048 data_time: 0.0154 memory: 13431 grad_norm: 4.0444 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1450 loss: 2.1450 2022/08/16 12:03:07 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 12:03:09 - mmengine - INFO - Epoch(train) [180][1500/3757] lr: 2.0710e-02 eta: 1 day, 8:08:41 time: 0.4117 data_time: 0.0154 memory: 13431 grad_norm: 4.0470 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.3252 loss: 2.3252 2022/08/16 12:03:50 - mmengine - INFO - Epoch(train) [180][1600/3757] lr: 2.0710e-02 eta: 1 day, 8:08:01 time: 0.4125 data_time: 0.0150 memory: 13431 grad_norm: 4.0972 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4210 loss: 2.4210 2022/08/16 12:04:31 - mmengine - INFO - Epoch(train) [180][1700/3757] lr: 2.0710e-02 eta: 1 day, 8:07:21 time: 0.4070 data_time: 0.0160 memory: 13431 grad_norm: 4.1376 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0141 loss: 2.0141 2022/08/16 12:05:13 - mmengine - INFO - Epoch(train) [180][1800/3757] lr: 2.0710e-02 eta: 1 day, 8:06:42 time: 0.4071 data_time: 0.0154 memory: 13431 grad_norm: 3.9823 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2590 loss: 2.2590 2022/08/16 12:05:54 - mmengine - INFO - Epoch(train) [180][1900/3757] lr: 2.0710e-02 eta: 1 day, 8:06:02 time: 0.4060 data_time: 0.0151 memory: 13431 grad_norm: 3.9870 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0381 loss: 2.0381 2022/08/16 12:06:35 - mmengine - INFO - Epoch(train) [180][2000/3757] lr: 2.0710e-02 eta: 1 day, 8:05:22 time: 0.4196 data_time: 0.0162 memory: 13431 grad_norm: 4.1868 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2734 loss: 2.2734 2022/08/16 12:07:16 - mmengine - INFO - Epoch(train) [180][2100/3757] lr: 2.0710e-02 eta: 1 day, 8:04:42 time: 0.4088 data_time: 0.0173 memory: 13431 grad_norm: 4.0898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1353 loss: 2.1353 2022/08/16 12:07:57 - mmengine - INFO - Epoch(train) [180][2200/3757] lr: 2.0710e-02 eta: 1 day, 8:04:02 time: 0.4123 data_time: 0.0156 memory: 13431 grad_norm: 4.1297 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1574 loss: 2.1574 2022/08/16 12:08:38 - mmengine - INFO - Epoch(train) [180][2300/3757] lr: 2.0710e-02 eta: 1 day, 8:03:22 time: 0.4058 data_time: 0.0158 memory: 13431 grad_norm: 4.1914 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1476 loss: 2.1476 2022/08/16 12:09:19 - mmengine - INFO - Epoch(train) [180][2400/3757] lr: 2.0710e-02 eta: 1 day, 8:02:42 time: 0.4105 data_time: 0.0161 memory: 13431 grad_norm: 4.1500 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2331 loss: 2.2331 2022/08/16 12:09:59 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 12:10:00 - mmengine - INFO - Epoch(train) [180][2500/3757] lr: 2.0710e-02 eta: 1 day, 8:02:02 time: 0.4112 data_time: 0.0156 memory: 13431 grad_norm: 4.1302 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2503 loss: 2.2503 2022/08/16 12:10:41 - mmengine - INFO - Epoch(train) [180][2600/3757] lr: 2.0710e-02 eta: 1 day, 8:01:22 time: 0.4073 data_time: 0.0161 memory: 13431 grad_norm: 3.9824 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0052 loss: 2.0052 2022/08/16 12:11:22 - mmengine - INFO - Epoch(train) [180][2700/3757] lr: 2.0710e-02 eta: 1 day, 8:00:42 time: 0.4082 data_time: 0.0161 memory: 13431 grad_norm: 4.0719 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.8806 loss: 1.8806 2022/08/16 12:12:03 - mmengine - INFO - Epoch(train) [180][2800/3757] lr: 2.0710e-02 eta: 1 day, 8:00:02 time: 0.4105 data_time: 0.0179 memory: 13431 grad_norm: 4.1715 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4142 loss: 2.4142 2022/08/16 12:12:44 - mmengine - INFO - Epoch(train) [180][2900/3757] lr: 2.0710e-02 eta: 1 day, 7:59:22 time: 0.4078 data_time: 0.0158 memory: 13431 grad_norm: 4.1248 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0111 loss: 2.0111 2022/08/16 12:13:25 - mmengine - INFO - Epoch(train) [180][3000/3757] lr: 2.0710e-02 eta: 1 day, 7:58:43 time: 0.4101 data_time: 0.0159 memory: 13431 grad_norm: 4.1263 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0450 loss: 2.0450 2022/08/16 12:14:07 - mmengine - INFO - Epoch(train) [180][3100/3757] lr: 2.0710e-02 eta: 1 day, 7:58:03 time: 0.4102 data_time: 0.0168 memory: 13431 grad_norm: 4.0957 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3747 loss: 2.3747 2022/08/16 12:14:48 - mmengine - INFO - Epoch(train) [180][3200/3757] lr: 2.0710e-02 eta: 1 day, 7:57:23 time: 0.4063 data_time: 0.0155 memory: 13431 grad_norm: 4.0638 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0452 loss: 2.0452 2022/08/16 12:15:29 - mmengine - INFO - Epoch(train) [180][3300/3757] lr: 2.0710e-02 eta: 1 day, 7:56:43 time: 0.4054 data_time: 0.0153 memory: 13431 grad_norm: 4.1537 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1160 loss: 2.1160 2022/08/16 12:16:10 - mmengine - INFO - Epoch(train) [180][3400/3757] lr: 2.0710e-02 eta: 1 day, 7:56:03 time: 0.4118 data_time: 0.0151 memory: 13431 grad_norm: 4.0863 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3240 loss: 2.3240 2022/08/16 12:16:49 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 12:16:51 - mmengine - INFO - Epoch(train) [180][3500/3757] lr: 2.0710e-02 eta: 1 day, 7:55:23 time: 0.4051 data_time: 0.0155 memory: 13431 grad_norm: 4.1156 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2171 loss: 2.2171 2022/08/16 12:17:32 - mmengine - INFO - Epoch(train) [180][3600/3757] lr: 2.0710e-02 eta: 1 day, 7:54:43 time: 0.4057 data_time: 0.0154 memory: 13431 grad_norm: 4.1371 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2130 loss: 2.2130 2022/08/16 12:18:13 - mmengine - INFO - Epoch(train) [180][3700/3757] lr: 2.0710e-02 eta: 1 day, 7:54:03 time: 0.4089 data_time: 0.0172 memory: 13431 grad_norm: 4.1110 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.7155 loss: 1.7155 2022/08/16 12:18:36 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 12:18:36 - mmengine - INFO - Epoch(train) [180][3757/3757] lr: 2.0710e-02 eta: 1 day, 7:53:47 time: 0.3947 data_time: 0.0144 memory: 13431 grad_norm: 4.1075 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.1061 loss: 2.1061 2022/08/16 12:18:36 - mmengine - INFO - Saving checkpoint at 180 epochs 2022/08/16 12:19:05 - mmengine - INFO - Epoch(val) [180][100/310] eta: 0:00:47 time: 0.2275 data_time: 0.0968 memory: 1974 2022/08/16 12:19:26 - mmengine - INFO - Epoch(val) [180][200/310] eta: 0:00:21 time: 0.1971 data_time: 0.0663 memory: 1974 2022/08/16 12:19:45 - mmengine - INFO - Epoch(val) [180][300/310] eta: 0:00:01 time: 0.1269 data_time: 0.0199 memory: 1974 2022/08/16 12:19:48 - mmengine - INFO - Epoch(val) [180][310/310] acc/top1: 0.5710 acc/top5: 0.8129 acc/mean1: 0.5708 2022/08/16 12:19:48 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_176.pth is removed 2022/08/16 12:19:52 - mmengine - INFO - The best checkpoint with 0.5710 acc/top1 at 181 epoch is saved to best_acc/top1_epoch_181.pth. 2022/08/16 12:20:34 - mmengine - INFO - Epoch(train) [181][100/3757] lr: 2.0215e-02 eta: 1 day, 7:52:58 time: 0.4125 data_time: 0.0166 memory: 13431 grad_norm: 4.0566 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1153 loss: 2.1153 2022/08/16 12:21:15 - mmengine - INFO - Epoch(train) [181][200/3757] lr: 2.0215e-02 eta: 1 day, 7:52:18 time: 0.4063 data_time: 0.0158 memory: 13431 grad_norm: 3.9940 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0554 loss: 2.0554 2022/08/16 12:21:56 - mmengine - INFO - Epoch(train) [181][300/3757] lr: 2.0215e-02 eta: 1 day, 7:51:38 time: 0.4054 data_time: 0.0163 memory: 13431 grad_norm: 4.0401 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9264 loss: 1.9264 2022/08/16 12:22:37 - mmengine - INFO - Epoch(train) [181][400/3757] lr: 2.0215e-02 eta: 1 day, 7:50:58 time: 0.4146 data_time: 0.0169 memory: 13431 grad_norm: 4.2612 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9669 loss: 1.9669 2022/08/16 12:23:18 - mmengine - INFO - Epoch(train) [181][500/3757] lr: 2.0215e-02 eta: 1 day, 7:50:18 time: 0.4067 data_time: 0.0160 memory: 13431 grad_norm: 4.0470 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3079 loss: 2.3079 2022/08/16 12:23:59 - mmengine - INFO - Epoch(train) [181][600/3757] lr: 2.0215e-02 eta: 1 day, 7:49:38 time: 0.4038 data_time: 0.0147 memory: 13431 grad_norm: 4.1479 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0038 loss: 2.0038 2022/08/16 12:24:40 - mmengine - INFO - Epoch(train) [181][700/3757] lr: 2.0215e-02 eta: 1 day, 7:48:58 time: 0.4087 data_time: 0.0171 memory: 13431 grad_norm: 4.2890 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3136 loss: 2.3136 2022/08/16 12:24:57 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 12:25:21 - mmengine - INFO - Epoch(train) [181][800/3757] lr: 2.0215e-02 eta: 1 day, 7:48:18 time: 0.4052 data_time: 0.0165 memory: 13431 grad_norm: 4.2174 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5455 loss: 2.5455 2022/08/16 12:26:02 - mmengine - INFO - Epoch(train) [181][900/3757] lr: 2.0215e-02 eta: 1 day, 7:47:38 time: 0.4094 data_time: 0.0165 memory: 13431 grad_norm: 4.1771 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1755 loss: 2.1755 2022/08/16 12:26:43 - mmengine - INFO - Epoch(train) [181][1000/3757] lr: 2.0215e-02 eta: 1 day, 7:46:58 time: 0.4089 data_time: 0.0159 memory: 13431 grad_norm: 4.0974 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3544 loss: 2.3544 2022/08/16 12:27:24 - mmengine - INFO - Epoch(train) [181][1100/3757] lr: 2.0215e-02 eta: 1 day, 7:46:18 time: 0.4118 data_time: 0.0171 memory: 13431 grad_norm: 4.2413 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9295 loss: 1.9295 2022/08/16 12:28:05 - mmengine - INFO - Epoch(train) [181][1200/3757] lr: 2.0215e-02 eta: 1 day, 7:45:38 time: 0.4144 data_time: 0.0149 memory: 13431 grad_norm: 4.1064 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1707 loss: 2.1707 2022/08/16 12:28:46 - mmengine - INFO - Epoch(train) [181][1300/3757] lr: 2.0215e-02 eta: 1 day, 7:44:58 time: 0.4058 data_time: 0.0147 memory: 13431 grad_norm: 4.1491 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3406 loss: 2.3406 2022/08/16 12:29:27 - mmengine - INFO - Epoch(train) [181][1400/3757] lr: 2.0215e-02 eta: 1 day, 7:44:18 time: 0.4058 data_time: 0.0158 memory: 13431 grad_norm: 4.2471 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0590 loss: 2.0590 2022/08/16 12:30:08 - mmengine - INFO - Epoch(train) [181][1500/3757] lr: 2.0215e-02 eta: 1 day, 7:43:38 time: 0.4082 data_time: 0.0172 memory: 13431 grad_norm: 4.3414 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9097 loss: 1.9097 2022/08/16 12:30:49 - mmengine - INFO - Epoch(train) [181][1600/3757] lr: 2.0215e-02 eta: 1 day, 7:42:59 time: 0.4069 data_time: 0.0149 memory: 13431 grad_norm: 4.0621 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8392 loss: 1.8392 2022/08/16 12:31:30 - mmengine - INFO - Epoch(train) [181][1700/3757] lr: 2.0215e-02 eta: 1 day, 7:42:19 time: 0.4036 data_time: 0.0148 memory: 13431 grad_norm: 3.9705 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9122 loss: 1.9122 2022/08/16 12:31:46 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 12:32:11 - mmengine - INFO - Epoch(train) [181][1800/3757] lr: 2.0215e-02 eta: 1 day, 7:41:39 time: 0.4168 data_time: 0.0150 memory: 13431 grad_norm: 4.0347 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2234 loss: 2.2234 2022/08/16 12:32:52 - mmengine - INFO - Epoch(train) [181][1900/3757] lr: 2.0215e-02 eta: 1 day, 7:40:59 time: 0.4129 data_time: 0.0155 memory: 13431 grad_norm: 4.0464 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2985 loss: 2.2985 2022/08/16 12:33:33 - mmengine - INFO - Epoch(train) [181][2000/3757] lr: 2.0215e-02 eta: 1 day, 7:40:19 time: 0.4054 data_time: 0.0147 memory: 13431 grad_norm: 4.1608 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1803 loss: 2.1803 2022/08/16 12:34:14 - mmengine - INFO - Epoch(train) [181][2100/3757] lr: 2.0215e-02 eta: 1 day, 7:39:39 time: 0.4046 data_time: 0.0159 memory: 13431 grad_norm: 4.2768 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0961 loss: 2.0961 2022/08/16 12:34:55 - mmengine - INFO - Epoch(train) [181][2200/3757] lr: 2.0215e-02 eta: 1 day, 7:38:59 time: 0.4096 data_time: 0.0151 memory: 13431 grad_norm: 4.1617 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5206 loss: 2.5206 2022/08/16 12:35:36 - mmengine - INFO - Epoch(train) [181][2300/3757] lr: 2.0215e-02 eta: 1 day, 7:38:19 time: 0.4092 data_time: 0.0154 memory: 13431 grad_norm: 4.1926 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0157 loss: 2.0157 2022/08/16 12:36:17 - mmengine - INFO - Epoch(train) [181][2400/3757] lr: 2.0215e-02 eta: 1 day, 7:37:39 time: 0.4100 data_time: 0.0151 memory: 13431 grad_norm: 4.1442 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3192 loss: 2.3192 2022/08/16 12:36:58 - mmengine - INFO - Epoch(train) [181][2500/3757] lr: 2.0215e-02 eta: 1 day, 7:36:59 time: 0.4122 data_time: 0.0156 memory: 13431 grad_norm: 4.1159 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9596 loss: 1.9596 2022/08/16 12:37:39 - mmengine - INFO - Epoch(train) [181][2600/3757] lr: 2.0215e-02 eta: 1 day, 7:36:19 time: 0.4072 data_time: 0.0157 memory: 13431 grad_norm: 3.9657 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0679 loss: 2.0679 2022/08/16 12:38:20 - mmengine - INFO - Epoch(train) [181][2700/3757] lr: 2.0215e-02 eta: 1 day, 7:35:39 time: 0.4046 data_time: 0.0154 memory: 13431 grad_norm: 4.1579 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8821 loss: 1.8821 2022/08/16 12:38:37 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 12:39:01 - mmengine - INFO - Epoch(train) [181][2800/3757] lr: 2.0215e-02 eta: 1 day, 7:34:59 time: 0.4084 data_time: 0.0162 memory: 13431 grad_norm: 4.0179 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0825 loss: 2.0825 2022/08/16 12:39:42 - mmengine - INFO - Epoch(train) [181][2900/3757] lr: 2.0215e-02 eta: 1 day, 7:34:19 time: 0.4072 data_time: 0.0155 memory: 13431 grad_norm: 4.0727 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9732 loss: 1.9732 2022/08/16 12:40:23 - mmengine - INFO - Epoch(train) [181][3000/3757] lr: 2.0215e-02 eta: 1 day, 7:33:39 time: 0.4131 data_time: 0.0149 memory: 13431 grad_norm: 4.0542 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0014 loss: 2.0014 2022/08/16 12:41:04 - mmengine - INFO - Epoch(train) [181][3100/3757] lr: 2.0215e-02 eta: 1 day, 7:32:59 time: 0.4133 data_time: 0.0175 memory: 13431 grad_norm: 4.1103 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0451 loss: 2.0451 2022/08/16 12:41:45 - mmengine - INFO - Epoch(train) [181][3200/3757] lr: 2.0215e-02 eta: 1 day, 7:32:19 time: 0.4154 data_time: 0.0163 memory: 13431 grad_norm: 4.1947 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1892 loss: 2.1892 2022/08/16 12:42:27 - mmengine - INFO - Epoch(train) [181][3300/3757] lr: 2.0215e-02 eta: 1 day, 7:31:39 time: 0.4061 data_time: 0.0154 memory: 13431 grad_norm: 4.1574 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2862 loss: 2.2862 2022/08/16 12:43:07 - mmengine - INFO - Epoch(train) [181][3400/3757] lr: 2.0215e-02 eta: 1 day, 7:30:59 time: 0.4031 data_time: 0.0150 memory: 13431 grad_norm: 4.0907 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2574 loss: 2.2574 2022/08/16 12:43:48 - mmengine - INFO - Epoch(train) [181][3500/3757] lr: 2.0215e-02 eta: 1 day, 7:30:19 time: 0.4057 data_time: 0.0148 memory: 13431 grad_norm: 4.1071 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3397 loss: 2.3397 2022/08/16 12:44:29 - mmengine - INFO - Epoch(train) [181][3600/3757] lr: 2.0215e-02 eta: 1 day, 7:29:39 time: 0.4056 data_time: 0.0162 memory: 13431 grad_norm: 4.1759 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.2668 loss: 2.2668 2022/08/16 12:45:10 - mmengine - INFO - Epoch(train) [181][3700/3757] lr: 2.0215e-02 eta: 1 day, 7:29:00 time: 0.4062 data_time: 0.0150 memory: 13431 grad_norm: 4.1870 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3416 loss: 2.3416 2022/08/16 12:45:27 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 12:45:34 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 12:45:34 - mmengine - INFO - Epoch(train) [181][3757/3757] lr: 2.0215e-02 eta: 1 day, 7:28:44 time: 0.3977 data_time: 0.0146 memory: 13431 grad_norm: 4.2410 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.3780 loss: 2.3780 2022/08/16 12:46:17 - mmengine - INFO - Epoch(train) [182][100/3757] lr: 1.9724e-02 eta: 1 day, 7:27:55 time: 0.4077 data_time: 0.0172 memory: 13431 grad_norm: 4.0760 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6945 loss: 1.6945 2022/08/16 12:46:58 - mmengine - INFO - Epoch(train) [182][200/3757] lr: 1.9724e-02 eta: 1 day, 7:27:15 time: 0.4057 data_time: 0.0164 memory: 13431 grad_norm: 4.1976 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2638 loss: 2.2638 2022/08/16 12:47:39 - mmengine - INFO - Epoch(train) [182][300/3757] lr: 1.9724e-02 eta: 1 day, 7:26:35 time: 0.4057 data_time: 0.0150 memory: 13431 grad_norm: 4.0243 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1451 loss: 2.1451 2022/08/16 12:48:20 - mmengine - INFO - Epoch(train) [182][400/3757] lr: 1.9724e-02 eta: 1 day, 7:25:55 time: 0.4078 data_time: 0.0166 memory: 13431 grad_norm: 4.0647 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0686 loss: 2.0686 2022/08/16 12:49:01 - mmengine - INFO - Epoch(train) [182][500/3757] lr: 1.9724e-02 eta: 1 day, 7:25:15 time: 0.4050 data_time: 0.0154 memory: 13431 grad_norm: 4.0670 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0687 loss: 2.0687 2022/08/16 12:49:42 - mmengine - INFO - Epoch(train) [182][600/3757] lr: 1.9724e-02 eta: 1 day, 7:24:35 time: 0.4067 data_time: 0.0166 memory: 13431 grad_norm: 4.1303 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9868 loss: 1.9868 2022/08/16 12:50:23 - mmengine - INFO - Epoch(train) [182][700/3757] lr: 1.9724e-02 eta: 1 day, 7:23:55 time: 0.4046 data_time: 0.0154 memory: 13431 grad_norm: 4.1533 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2129 loss: 2.2129 2022/08/16 12:51:04 - mmengine - INFO - Epoch(train) [182][800/3757] lr: 1.9724e-02 eta: 1 day, 7:23:15 time: 0.4081 data_time: 0.0153 memory: 13431 grad_norm: 4.0694 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7415 loss: 1.7415 2022/08/16 12:51:45 - mmengine - INFO - Epoch(train) [182][900/3757] lr: 1.9724e-02 eta: 1 day, 7:22:35 time: 0.4077 data_time: 0.0157 memory: 13431 grad_norm: 4.1182 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8870 loss: 1.8870 2022/08/16 12:52:19 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 12:52:26 - mmengine - INFO - Epoch(train) [182][1000/3757] lr: 1.9724e-02 eta: 1 day, 7:21:55 time: 0.4094 data_time: 0.0153 memory: 13431 grad_norm: 3.9709 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0916 loss: 2.0916 2022/08/16 12:53:07 - mmengine - INFO - Epoch(train) [182][1100/3757] lr: 1.9724e-02 eta: 1 day, 7:21:15 time: 0.4086 data_time: 0.0157 memory: 13431 grad_norm: 4.1590 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2403 loss: 2.2403 2022/08/16 12:53:48 - mmengine - INFO - Epoch(train) [182][1200/3757] lr: 1.9724e-02 eta: 1 day, 7:20:35 time: 0.4084 data_time: 0.0174 memory: 13431 grad_norm: 4.1224 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8649 loss: 1.8649 2022/08/16 12:54:29 - mmengine - INFO - Epoch(train) [182][1300/3757] lr: 1.9724e-02 eta: 1 day, 7:19:55 time: 0.4083 data_time: 0.0156 memory: 13431 grad_norm: 4.2794 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4195 loss: 2.4195 2022/08/16 12:55:10 - mmengine - INFO - Epoch(train) [182][1400/3757] lr: 1.9724e-02 eta: 1 day, 7:19:15 time: 0.4107 data_time: 0.0168 memory: 13431 grad_norm: 4.1445 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1887 loss: 2.1887 2022/08/16 12:55:51 - mmengine - INFO - Epoch(train) [182][1500/3757] lr: 1.9724e-02 eta: 1 day, 7:18:35 time: 0.4061 data_time: 0.0156 memory: 13431 grad_norm: 4.1922 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0323 loss: 2.0323 2022/08/16 12:56:32 - mmengine - INFO - Epoch(train) [182][1600/3757] lr: 1.9724e-02 eta: 1 day, 7:17:55 time: 0.4054 data_time: 0.0165 memory: 13431 grad_norm: 4.1104 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8723 loss: 1.8723 2022/08/16 12:57:13 - mmengine - INFO - Epoch(train) [182][1700/3757] lr: 1.9724e-02 eta: 1 day, 7:17:15 time: 0.4053 data_time: 0.0148 memory: 13431 grad_norm: 4.1942 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2439 loss: 2.2439 2022/08/16 12:57:54 - mmengine - INFO - Epoch(train) [182][1800/3757] lr: 1.9724e-02 eta: 1 day, 7:16:35 time: 0.4094 data_time: 0.0148 memory: 13431 grad_norm: 4.1654 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2104 loss: 2.2104 2022/08/16 12:58:35 - mmengine - INFO - Epoch(train) [182][1900/3757] lr: 1.9724e-02 eta: 1 day, 7:15:55 time: 0.4088 data_time: 0.0157 memory: 13431 grad_norm: 4.1081 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1743 loss: 2.1743 2022/08/16 12:59:09 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 12:59:16 - mmengine - INFO - Epoch(train) [182][2000/3757] lr: 1.9724e-02 eta: 1 day, 7:15:15 time: 0.4038 data_time: 0.0147 memory: 13431 grad_norm: 4.1680 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9859 loss: 1.9859 2022/08/16 12:59:57 - mmengine - INFO - Epoch(train) [182][2100/3757] lr: 1.9724e-02 eta: 1 day, 7:14:35 time: 0.4103 data_time: 0.0165 memory: 13431 grad_norm: 4.0844 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2806 loss: 2.2806 2022/08/16 13:00:38 - mmengine - INFO - Epoch(train) [182][2200/3757] lr: 1.9724e-02 eta: 1 day, 7:13:56 time: 0.4074 data_time: 0.0164 memory: 13431 grad_norm: 4.0412 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2049 loss: 2.2049 2022/08/16 13:01:19 - mmengine - INFO - Epoch(train) [182][2300/3757] lr: 1.9724e-02 eta: 1 day, 7:13:16 time: 0.4067 data_time: 0.0159 memory: 13431 grad_norm: 4.2348 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0142 loss: 2.0142 2022/08/16 13:02:00 - mmengine - INFO - Epoch(train) [182][2400/3757] lr: 1.9724e-02 eta: 1 day, 7:12:36 time: 0.4127 data_time: 0.0173 memory: 13431 grad_norm: 3.9555 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0733 loss: 2.0733 2022/08/16 13:02:41 - mmengine - INFO - Epoch(train) [182][2500/3757] lr: 1.9724e-02 eta: 1 day, 7:11:56 time: 0.4075 data_time: 0.0153 memory: 13431 grad_norm: 4.2879 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0035 loss: 2.0035 2022/08/16 13:03:22 - mmengine - INFO - Epoch(train) [182][2600/3757] lr: 1.9724e-02 eta: 1 day, 7:11:16 time: 0.4073 data_time: 0.0150 memory: 13431 grad_norm: 4.1240 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1614 loss: 2.1614 2022/08/16 13:04:03 - mmengine - INFO - Epoch(train) [182][2700/3757] lr: 1.9724e-02 eta: 1 day, 7:10:36 time: 0.4041 data_time: 0.0156 memory: 13431 grad_norm: 4.0572 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9585 loss: 1.9585 2022/08/16 13:04:44 - mmengine - INFO - Epoch(train) [182][2800/3757] lr: 1.9724e-02 eta: 1 day, 7:09:56 time: 0.4048 data_time: 0.0145 memory: 13431 grad_norm: 4.1693 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1040 loss: 2.1040 2022/08/16 13:05:25 - mmengine - INFO - Epoch(train) [182][2900/3757] lr: 1.9724e-02 eta: 1 day, 7:09:16 time: 0.4052 data_time: 0.0171 memory: 13431 grad_norm: 4.0963 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8773 loss: 1.8773 2022/08/16 13:05:59 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 13:06:06 - mmengine - INFO - Epoch(train) [182][3000/3757] lr: 1.9724e-02 eta: 1 day, 7:08:36 time: 0.4076 data_time: 0.0160 memory: 13431 grad_norm: 4.2791 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9543 loss: 1.9543 2022/08/16 13:06:47 - mmengine - INFO - Epoch(train) [182][3100/3757] lr: 1.9724e-02 eta: 1 day, 7:07:56 time: 0.4069 data_time: 0.0160 memory: 13431 grad_norm: 4.2598 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1047 loss: 2.1047 2022/08/16 13:07:28 - mmengine - INFO - Epoch(train) [182][3200/3757] lr: 1.9724e-02 eta: 1 day, 7:07:16 time: 0.4056 data_time: 0.0159 memory: 13431 grad_norm: 4.1947 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2389 loss: 2.2389 2022/08/16 13:08:09 - mmengine - INFO - Epoch(train) [182][3300/3757] lr: 1.9724e-02 eta: 1 day, 7:06:36 time: 0.4064 data_time: 0.0151 memory: 13431 grad_norm: 4.3408 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2150 loss: 2.2150 2022/08/16 13:08:50 - mmengine - INFO - Epoch(train) [182][3400/3757] lr: 1.9724e-02 eta: 1 day, 7:05:56 time: 0.4069 data_time: 0.0172 memory: 13431 grad_norm: 4.0716 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2436 loss: 2.2436 2022/08/16 13:09:31 - mmengine - INFO - Epoch(train) [182][3500/3757] lr: 1.9724e-02 eta: 1 day, 7:05:16 time: 0.4103 data_time: 0.0169 memory: 13431 grad_norm: 4.1869 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9893 loss: 1.9893 2022/08/16 13:10:12 - mmengine - INFO - Epoch(train) [182][3600/3757] lr: 1.9724e-02 eta: 1 day, 7:04:36 time: 0.4162 data_time: 0.0156 memory: 13431 grad_norm: 4.2701 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0479 loss: 2.0479 2022/08/16 13:10:53 - mmengine - INFO - Epoch(train) [182][3700/3757] lr: 1.9724e-02 eta: 1 day, 7:03:56 time: 0.4060 data_time: 0.0156 memory: 13431 grad_norm: 4.1147 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1007 loss: 2.1007 2022/08/16 13:11:17 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 13:11:17 - mmengine - INFO - Epoch(train) [182][3757/3757] lr: 1.9724e-02 eta: 1 day, 7:03:40 time: 0.3927 data_time: 0.0137 memory: 13431 grad_norm: 4.1338 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 2.1476 loss: 2.1476 2022/08/16 13:12:00 - mmengine - INFO - Epoch(train) [183][100/3757] lr: 1.9238e-02 eta: 1 day, 7:02:52 time: 0.4080 data_time: 0.0149 memory: 13431 grad_norm: 4.1313 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1361 loss: 2.1361 2022/08/16 13:12:41 - mmengine - INFO - Epoch(train) [183][200/3757] lr: 1.9238e-02 eta: 1 day, 7:02:12 time: 0.4037 data_time: 0.0157 memory: 13431 grad_norm: 4.0782 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9861 loss: 1.9861 2022/08/16 13:12:52 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 13:13:22 - mmengine - INFO - Epoch(train) [183][300/3757] lr: 1.9238e-02 eta: 1 day, 7:01:32 time: 0.4061 data_time: 0.0151 memory: 13431 grad_norm: 4.2020 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0641 loss: 2.0641 2022/08/16 13:14:03 - mmengine - INFO - Epoch(train) [183][400/3757] lr: 1.9238e-02 eta: 1 day, 7:00:52 time: 0.4057 data_time: 0.0143 memory: 13431 grad_norm: 4.2765 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1712 loss: 2.1712 2022/08/16 13:14:44 - mmengine - INFO - Epoch(train) [183][500/3757] lr: 1.9238e-02 eta: 1 day, 7:00:12 time: 0.4057 data_time: 0.0164 memory: 13431 grad_norm: 4.1327 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1914 loss: 2.1914 2022/08/16 13:15:25 - mmengine - INFO - Epoch(train) [183][600/3757] lr: 1.9238e-02 eta: 1 day, 6:59:32 time: 0.4112 data_time: 0.0155 memory: 13431 grad_norm: 4.1457 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1278 loss: 2.1278 2022/08/16 13:16:06 - mmengine - INFO - Epoch(train) [183][700/3757] lr: 1.9238e-02 eta: 1 day, 6:58:52 time: 0.4059 data_time: 0.0149 memory: 13431 grad_norm: 4.1526 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1568 loss: 2.1568 2022/08/16 13:16:47 - mmengine - INFO - Epoch(train) [183][800/3757] lr: 1.9238e-02 eta: 1 day, 6:58:12 time: 0.4059 data_time: 0.0156 memory: 13431 grad_norm: 4.2868 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4973 loss: 2.4973 2022/08/16 13:17:28 - mmengine - INFO - Epoch(train) [183][900/3757] lr: 1.9238e-02 eta: 1 day, 6:57:32 time: 0.4099 data_time: 0.0163 memory: 13431 grad_norm: 4.2415 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.8536 loss: 1.8536 2022/08/16 13:18:09 - mmengine - INFO - Epoch(train) [183][1000/3757] lr: 1.9238e-02 eta: 1 day, 6:56:52 time: 0.4078 data_time: 0.0172 memory: 13431 grad_norm: 4.0490 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9971 loss: 1.9971 2022/08/16 13:18:50 - mmengine - INFO - Epoch(train) [183][1100/3757] lr: 1.9238e-02 eta: 1 day, 6:56:12 time: 0.4058 data_time: 0.0153 memory: 13431 grad_norm: 4.1597 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2687 loss: 2.2687 2022/08/16 13:19:31 - mmengine - INFO - Epoch(train) [183][1200/3757] lr: 1.9238e-02 eta: 1 day, 6:55:32 time: 0.4062 data_time: 0.0172 memory: 13431 grad_norm: 4.0228 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0584 loss: 2.0584 2022/08/16 13:19:42 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 13:20:13 - mmengine - INFO - Epoch(train) [183][1300/3757] lr: 1.9238e-02 eta: 1 day, 6:54:52 time: 0.4174 data_time: 0.0156 memory: 13431 grad_norm: 4.3302 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1350 loss: 2.1350 2022/08/16 13:20:54 - mmengine - INFO - Epoch(train) [183][1400/3757] lr: 1.9238e-02 eta: 1 day, 6:54:12 time: 0.4068 data_time: 0.0155 memory: 13431 grad_norm: 4.1174 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0377 loss: 2.0377 2022/08/16 13:21:35 - mmengine - INFO - Epoch(train) [183][1500/3757] lr: 1.9238e-02 eta: 1 day, 6:53:32 time: 0.4057 data_time: 0.0158 memory: 13431 grad_norm: 4.3059 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7883 loss: 1.7883 2022/08/16 13:22:16 - mmengine - INFO - Epoch(train) [183][1600/3757] lr: 1.9238e-02 eta: 1 day, 6:52:52 time: 0.4065 data_time: 0.0153 memory: 13431 grad_norm: 4.2075 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2363 loss: 2.2363 2022/08/16 13:22:57 - mmengine - INFO - Epoch(train) [183][1700/3757] lr: 1.9238e-02 eta: 1 day, 6:52:12 time: 0.4055 data_time: 0.0151 memory: 13431 grad_norm: 4.3154 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1216 loss: 2.1216 2022/08/16 13:23:38 - mmengine - INFO - Epoch(train) [183][1800/3757] lr: 1.9238e-02 eta: 1 day, 6:51:32 time: 0.4061 data_time: 0.0158 memory: 13431 grad_norm: 4.3143 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6221 loss: 2.6221 2022/08/16 13:24:19 - mmengine - INFO - Epoch(train) [183][1900/3757] lr: 1.9238e-02 eta: 1 day, 6:50:53 time: 0.4078 data_time: 0.0153 memory: 13431 grad_norm: 4.2424 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1644 loss: 2.1644 2022/08/16 13:25:00 - mmengine - INFO - Epoch(train) [183][2000/3757] lr: 1.9238e-02 eta: 1 day, 6:50:13 time: 0.4126 data_time: 0.0168 memory: 13431 grad_norm: 4.0681 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0199 loss: 2.0199 2022/08/16 13:25:41 - mmengine - INFO - Epoch(train) [183][2100/3757] lr: 1.9238e-02 eta: 1 day, 6:49:33 time: 0.4086 data_time: 0.0164 memory: 13431 grad_norm: 4.0947 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2886 loss: 2.2886 2022/08/16 13:26:22 - mmengine - INFO - Epoch(train) [183][2200/3757] lr: 1.9238e-02 eta: 1 day, 6:48:53 time: 0.4079 data_time: 0.0164 memory: 13431 grad_norm: 4.1784 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9183 loss: 1.9183 2022/08/16 13:26:33 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 13:27:03 - mmengine - INFO - Epoch(train) [183][2300/3757] lr: 1.9238e-02 eta: 1 day, 6:48:13 time: 0.4118 data_time: 0.0154 memory: 13431 grad_norm: 4.2669 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2296 loss: 2.2296 2022/08/16 13:27:44 - mmengine - INFO - Epoch(train) [183][2400/3757] lr: 1.9238e-02 eta: 1 day, 6:47:33 time: 0.4080 data_time: 0.0157 memory: 13431 grad_norm: 4.2741 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3505 loss: 2.3505 2022/08/16 13:28:25 - mmengine - INFO - Epoch(train) [183][2500/3757] lr: 1.9238e-02 eta: 1 day, 6:46:53 time: 0.4049 data_time: 0.0146 memory: 13431 grad_norm: 4.2096 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0470 loss: 2.0470 2022/08/16 13:29:06 - mmengine - INFO - Epoch(train) [183][2600/3757] lr: 1.9238e-02 eta: 1 day, 6:46:13 time: 0.4044 data_time: 0.0153 memory: 13431 grad_norm: 4.1195 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.0389 loss: 2.0389 2022/08/16 13:29:47 - mmengine - INFO - Epoch(train) [183][2700/3757] lr: 1.9238e-02 eta: 1 day, 6:45:33 time: 0.4093 data_time: 0.0151 memory: 13431 grad_norm: 4.3285 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2285 loss: 2.2285 2022/08/16 13:30:28 - mmengine - INFO - Epoch(train) [183][2800/3757] lr: 1.9238e-02 eta: 1 day, 6:44:53 time: 0.4061 data_time: 0.0158 memory: 13431 grad_norm: 4.1226 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0621 loss: 2.0621 2022/08/16 13:31:09 - mmengine - INFO - Epoch(train) [183][2900/3757] lr: 1.9238e-02 eta: 1 day, 6:44:13 time: 0.4035 data_time: 0.0152 memory: 13431 grad_norm: 4.2759 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0015 loss: 2.0015 2022/08/16 13:31:50 - mmengine - INFO - Epoch(train) [183][3000/3757] lr: 1.9238e-02 eta: 1 day, 6:43:33 time: 0.4061 data_time: 0.0165 memory: 13431 grad_norm: 4.1682 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0258 loss: 2.0258 2022/08/16 13:32:31 - mmengine - INFO - Epoch(train) [183][3100/3757] lr: 1.9238e-02 eta: 1 day, 6:42:53 time: 0.4075 data_time: 0.0158 memory: 13431 grad_norm: 4.2096 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0432 loss: 2.0432 2022/08/16 13:33:12 - mmengine - INFO - Epoch(train) [183][3200/3757] lr: 1.9238e-02 eta: 1 day, 6:42:13 time: 0.4094 data_time: 0.0163 memory: 13431 grad_norm: 4.0988 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3653 loss: 2.3653 2022/08/16 13:33:23 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 13:33:53 - mmengine - INFO - Epoch(train) [183][3300/3757] lr: 1.9238e-02 eta: 1 day, 6:41:33 time: 0.4054 data_time: 0.0150 memory: 13431 grad_norm: 4.3199 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0681 loss: 2.0681 2022/08/16 13:34:34 - mmengine - INFO - Epoch(train) [183][3400/3757] lr: 1.9238e-02 eta: 1 day, 6:40:53 time: 0.4148 data_time: 0.0156 memory: 13431 grad_norm: 4.2230 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0932 loss: 2.0932 2022/08/16 13:35:15 - mmengine - INFO - Epoch(train) [183][3500/3757] lr: 1.9238e-02 eta: 1 day, 6:40:13 time: 0.4117 data_time: 0.0161 memory: 13431 grad_norm: 4.1604 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3057 loss: 2.3057 2022/08/16 13:35:56 - mmengine - INFO - Epoch(train) [183][3600/3757] lr: 1.9238e-02 eta: 1 day, 6:39:33 time: 0.4050 data_time: 0.0158 memory: 13431 grad_norm: 4.0003 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9106 loss: 1.9106 2022/08/16 13:36:37 - mmengine - INFO - Epoch(train) [183][3700/3757] lr: 1.9238e-02 eta: 1 day, 6:38:53 time: 0.4068 data_time: 0.0161 memory: 13431 grad_norm: 4.2261 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2780 loss: 2.2780 2022/08/16 13:37:00 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 13:37:00 - mmengine - INFO - Epoch(train) [183][3757/3757] lr: 1.9238e-02 eta: 1 day, 6:38:37 time: 0.3956 data_time: 0.0146 memory: 13431 grad_norm: 4.1321 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.9700 loss: 1.9700 2022/08/16 13:37:44 - mmengine - INFO - Epoch(train) [184][100/3757] lr: 1.8757e-02 eta: 1 day, 6:37:49 time: 0.4064 data_time: 0.0154 memory: 13431 grad_norm: 4.1936 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8817 loss: 1.8817 2022/08/16 13:38:25 - mmengine - INFO - Epoch(train) [184][200/3757] lr: 1.8757e-02 eta: 1 day, 6:37:09 time: 0.4100 data_time: 0.0155 memory: 13431 grad_norm: 4.2912 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9792 loss: 1.9792 2022/08/16 13:39:06 - mmengine - INFO - Epoch(train) [184][300/3757] lr: 1.8757e-02 eta: 1 day, 6:36:29 time: 0.4076 data_time: 0.0166 memory: 13431 grad_norm: 4.2910 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2137 loss: 2.2137 2022/08/16 13:39:47 - mmengine - INFO - Epoch(train) [184][400/3757] lr: 1.8757e-02 eta: 1 day, 6:35:49 time: 0.4045 data_time: 0.0153 memory: 13431 grad_norm: 4.2530 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9523 loss: 1.9523 2022/08/16 13:40:15 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 13:40:28 - mmengine - INFO - Epoch(train) [184][500/3757] lr: 1.8757e-02 eta: 1 day, 6:35:09 time: 0.4070 data_time: 0.0151 memory: 13431 grad_norm: 4.3373 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2132 loss: 2.2132 2022/08/16 13:41:09 - mmengine - INFO - Epoch(train) [184][600/3757] lr: 1.8757e-02 eta: 1 day, 6:34:29 time: 0.4078 data_time: 0.0153 memory: 13431 grad_norm: 4.1215 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0953 loss: 2.0953 2022/08/16 13:41:50 - mmengine - INFO - Epoch(train) [184][700/3757] lr: 1.8757e-02 eta: 1 day, 6:33:49 time: 0.4073 data_time: 0.0156 memory: 13431 grad_norm: 4.1371 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8986 loss: 1.8986 2022/08/16 13:42:31 - mmengine - INFO - Epoch(train) [184][800/3757] lr: 1.8757e-02 eta: 1 day, 6:33:09 time: 0.4062 data_time: 0.0154 memory: 13431 grad_norm: 4.3659 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0600 loss: 2.0600 2022/08/16 13:43:13 - mmengine - INFO - Epoch(train) [184][900/3757] lr: 1.8757e-02 eta: 1 day, 6:32:29 time: 0.4123 data_time: 0.0153 memory: 13431 grad_norm: 4.2490 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1581 loss: 2.1581 2022/08/16 13:43:54 - mmengine - INFO - Epoch(train) [184][1000/3757] lr: 1.8757e-02 eta: 1 day, 6:31:49 time: 0.4122 data_time: 0.0159 memory: 13431 grad_norm: 4.2424 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9851 loss: 1.9851 2022/08/16 13:44:35 - mmengine - INFO - Epoch(train) [184][1100/3757] lr: 1.8757e-02 eta: 1 day, 6:31:09 time: 0.4127 data_time: 0.0157 memory: 13431 grad_norm: 4.3012 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1285 loss: 2.1285 2022/08/16 13:45:16 - mmengine - INFO - Epoch(train) [184][1200/3757] lr: 1.8757e-02 eta: 1 day, 6:30:29 time: 0.4074 data_time: 0.0150 memory: 13431 grad_norm: 4.2350 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0236 loss: 2.0236 2022/08/16 13:45:57 - mmengine - INFO - Epoch(train) [184][1300/3757] lr: 1.8757e-02 eta: 1 day, 6:29:49 time: 0.4058 data_time: 0.0150 memory: 13431 grad_norm: 4.2329 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3700 loss: 2.3700 2022/08/16 13:46:38 - mmengine - INFO - Epoch(train) [184][1400/3757] lr: 1.8757e-02 eta: 1 day, 6:29:09 time: 0.4064 data_time: 0.0153 memory: 13431 grad_norm: 4.3127 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9359 loss: 1.9359 2022/08/16 13:47:06 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 13:47:19 - mmengine - INFO - Epoch(train) [184][1500/3757] lr: 1.8757e-02 eta: 1 day, 6:28:29 time: 0.4075 data_time: 0.0175 memory: 13431 grad_norm: 4.2138 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2819 loss: 2.2819 2022/08/16 13:48:00 - mmengine - INFO - Epoch(train) [184][1600/3757] lr: 1.8757e-02 eta: 1 day, 6:27:49 time: 0.4071 data_time: 0.0154 memory: 13431 grad_norm: 4.2315 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9691 loss: 1.9691 2022/08/16 13:48:41 - mmengine - INFO - Epoch(train) [184][1700/3757] lr: 1.8757e-02 eta: 1 day, 6:27:09 time: 0.4108 data_time: 0.0164 memory: 13431 grad_norm: 4.2547 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8346 loss: 1.8346 2022/08/16 13:49:22 - mmengine - INFO - Epoch(train) [184][1800/3757] lr: 1.8757e-02 eta: 1 day, 6:26:29 time: 0.4135 data_time: 0.0157 memory: 13431 grad_norm: 4.1674 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0295 loss: 2.0295 2022/08/16 13:50:03 - mmengine - INFO - Epoch(train) [184][1900/3757] lr: 1.8757e-02 eta: 1 day, 6:25:49 time: 0.4143 data_time: 0.0157 memory: 13431 grad_norm: 4.0855 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9421 loss: 1.9421 2022/08/16 13:50:44 - mmengine - INFO - Epoch(train) [184][2000/3757] lr: 1.8757e-02 eta: 1 day, 6:25:09 time: 0.4083 data_time: 0.0171 memory: 13431 grad_norm: 4.3641 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4186 loss: 2.4186 2022/08/16 13:51:25 - mmengine - INFO - Epoch(train) [184][2100/3757] lr: 1.8757e-02 eta: 1 day, 6:24:29 time: 0.4072 data_time: 0.0171 memory: 13431 grad_norm: 4.3401 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2504 loss: 2.2504 2022/08/16 13:52:06 - mmengine - INFO - Epoch(train) [184][2200/3757] lr: 1.8757e-02 eta: 1 day, 6:23:49 time: 0.4058 data_time: 0.0163 memory: 13431 grad_norm: 4.1029 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9303 loss: 1.9303 2022/08/16 13:52:47 - mmengine - INFO - Epoch(train) [184][2300/3757] lr: 1.8757e-02 eta: 1 day, 6:23:09 time: 0.4038 data_time: 0.0154 memory: 13431 grad_norm: 4.2187 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9959 loss: 1.9959 2022/08/16 13:53:28 - mmengine - INFO - Epoch(train) [184][2400/3757] lr: 1.8757e-02 eta: 1 day, 6:22:29 time: 0.4051 data_time: 0.0149 memory: 13431 grad_norm: 4.1205 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2993 loss: 2.2993 2022/08/16 13:53:57 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 13:54:09 - mmengine - INFO - Epoch(train) [184][2500/3757] lr: 1.8757e-02 eta: 1 day, 6:21:49 time: 0.4111 data_time: 0.0153 memory: 13431 grad_norm: 4.2495 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0198 loss: 2.0198 2022/08/16 13:54:50 - mmengine - INFO - Epoch(train) [184][2600/3757] lr: 1.8757e-02 eta: 1 day, 6:21:09 time: 0.4082 data_time: 0.0158 memory: 13431 grad_norm: 4.3010 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2650 loss: 2.2650 2022/08/16 13:55:32 - mmengine - INFO - Epoch(train) [184][2700/3757] lr: 1.8757e-02 eta: 1 day, 6:20:30 time: 0.4049 data_time: 0.0165 memory: 13431 grad_norm: 4.2355 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6568 loss: 2.6568 2022/08/16 13:56:13 - mmengine - INFO - Epoch(train) [184][2800/3757] lr: 1.8757e-02 eta: 1 day, 6:19:50 time: 0.4055 data_time: 0.0149 memory: 13431 grad_norm: 4.1821 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1020 loss: 2.1020 2022/08/16 13:56:54 - mmengine - INFO - Epoch(train) [184][2900/3757] lr: 1.8757e-02 eta: 1 day, 6:19:10 time: 0.4047 data_time: 0.0149 memory: 13431 grad_norm: 4.2551 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5093 loss: 2.5093 2022/08/16 13:57:35 - mmengine - INFO - Epoch(train) [184][3000/3757] lr: 1.8757e-02 eta: 1 day, 6:18:30 time: 0.4032 data_time: 0.0151 memory: 13431 grad_norm: 4.1188 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1568 loss: 2.1568 2022/08/16 13:58:16 - mmengine - INFO - Epoch(train) [184][3100/3757] lr: 1.8757e-02 eta: 1 day, 6:17:50 time: 0.4102 data_time: 0.0162 memory: 13431 grad_norm: 4.3180 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1757 loss: 2.1757 2022/08/16 13:58:57 - mmengine - INFO - Epoch(train) [184][3200/3757] lr: 1.8757e-02 eta: 1 day, 6:17:10 time: 0.4136 data_time: 0.0156 memory: 13431 grad_norm: 4.3223 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1577 loss: 2.1577 2022/08/16 13:59:38 - mmengine - INFO - Epoch(train) [184][3300/3757] lr: 1.8757e-02 eta: 1 day, 6:16:30 time: 0.4062 data_time: 0.0149 memory: 13431 grad_norm: 4.2272 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1538 loss: 2.1538 2022/08/16 14:00:19 - mmengine - INFO - Epoch(train) [184][3400/3757] lr: 1.8757e-02 eta: 1 day, 6:15:50 time: 0.4079 data_time: 0.0152 memory: 13431 grad_norm: 4.2679 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2253 loss: 2.2253 2022/08/16 14:00:47 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 14:01:00 - mmengine - INFO - Epoch(train) [184][3500/3757] lr: 1.8757e-02 eta: 1 day, 6:15:10 time: 0.4092 data_time: 0.0160 memory: 13431 grad_norm: 4.2117 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1406 loss: 2.1406 2022/08/16 14:01:41 - mmengine - INFO - Epoch(train) [184][3600/3757] lr: 1.8757e-02 eta: 1 day, 6:14:30 time: 0.4045 data_time: 0.0150 memory: 13431 grad_norm: 4.1756 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2884 loss: 2.2884 2022/08/16 14:02:22 - mmengine - INFO - Epoch(train) [184][3700/3757] lr: 1.8757e-02 eta: 1 day, 6:13:50 time: 0.4067 data_time: 0.0158 memory: 13431 grad_norm: 4.2281 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9591 loss: 1.9591 2022/08/16 14:02:45 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 14:02:45 - mmengine - INFO - Epoch(train) [184][3757/3757] lr: 1.8757e-02 eta: 1 day, 6:13:34 time: 0.3942 data_time: 0.0153 memory: 13431 grad_norm: 4.1029 top1_acc: 0.1429 top5_acc: 0.7143 loss_cls: 2.0705 loss: 2.0705 2022/08/16 14:02:45 - mmengine - INFO - Saving checkpoint at 184 epochs 2022/08/16 14:03:33 - mmengine - INFO - Epoch(train) [185][100/3757] lr: 1.8280e-02 eta: 1 day, 6:12:45 time: 0.4087 data_time: 0.0153 memory: 13431 grad_norm: 4.4352 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2740 loss: 2.2740 2022/08/16 14:04:14 - mmengine - INFO - Epoch(train) [185][200/3757] lr: 1.8280e-02 eta: 1 day, 6:12:05 time: 0.4109 data_time: 0.0175 memory: 13431 grad_norm: 4.3928 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9712 loss: 1.9712 2022/08/16 14:04:55 - mmengine - INFO - Epoch(train) [185][300/3757] lr: 1.8280e-02 eta: 1 day, 6:11:25 time: 0.4095 data_time: 0.0160 memory: 13431 grad_norm: 4.2627 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1290 loss: 2.1290 2022/08/16 14:05:36 - mmengine - INFO - Epoch(train) [185][400/3757] lr: 1.8280e-02 eta: 1 day, 6:10:45 time: 0.4059 data_time: 0.0158 memory: 13431 grad_norm: 4.3833 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9609 loss: 1.9609 2022/08/16 14:06:17 - mmengine - INFO - Epoch(train) [185][500/3757] lr: 1.8280e-02 eta: 1 day, 6:10:05 time: 0.4079 data_time: 0.0155 memory: 13431 grad_norm: 4.3108 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4137 loss: 2.4137 2022/08/16 14:06:59 - mmengine - INFO - Epoch(train) [185][600/3757] lr: 1.8280e-02 eta: 1 day, 6:09:25 time: 0.4108 data_time: 0.0154 memory: 13431 grad_norm: 4.1811 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2520 loss: 2.2520 2022/08/16 14:07:40 - mmengine - INFO - Epoch(train) [185][700/3757] lr: 1.8280e-02 eta: 1 day, 6:08:45 time: 0.4038 data_time: 0.0154 memory: 13431 grad_norm: 4.2070 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9434 loss: 1.9434 2022/08/16 14:07:45 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 14:08:21 - mmengine - INFO - Epoch(train) [185][800/3757] lr: 1.8280e-02 eta: 1 day, 6:08:05 time: 0.4128 data_time: 0.0163 memory: 13431 grad_norm: 4.4014 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9441 loss: 1.9441 2022/08/16 14:09:02 - mmengine - INFO - Epoch(train) [185][900/3757] lr: 1.8280e-02 eta: 1 day, 6:07:25 time: 0.4080 data_time: 0.0177 memory: 13431 grad_norm: 4.2433 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9917 loss: 1.9917 2022/08/16 14:09:43 - mmengine - INFO - Epoch(train) [185][1000/3757] lr: 1.8280e-02 eta: 1 day, 6:06:45 time: 0.4072 data_time: 0.0161 memory: 13431 grad_norm: 4.2407 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1941 loss: 2.1941 2022/08/16 14:10:24 - mmengine - INFO - Epoch(train) [185][1100/3757] lr: 1.8280e-02 eta: 1 day, 6:06:05 time: 0.4091 data_time: 0.0151 memory: 13431 grad_norm: 4.3560 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2347 loss: 2.2347 2022/08/16 14:11:05 - mmengine - INFO - Epoch(train) [185][1200/3757] lr: 1.8280e-02 eta: 1 day, 6:05:25 time: 0.4103 data_time: 0.0145 memory: 13431 grad_norm: 4.2988 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8089 loss: 1.8089 2022/08/16 14:11:46 - mmengine - INFO - Epoch(train) [185][1300/3757] lr: 1.8280e-02 eta: 1 day, 6:04:45 time: 0.4144 data_time: 0.0170 memory: 13431 grad_norm: 4.3813 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9666 loss: 1.9666 2022/08/16 14:12:27 - mmengine - INFO - Epoch(train) [185][1400/3757] lr: 1.8280e-02 eta: 1 day, 6:04:05 time: 0.4078 data_time: 0.0165 memory: 13431 grad_norm: 4.3437 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1894 loss: 2.1894 2022/08/16 14:13:08 - mmengine - INFO - Epoch(train) [185][1500/3757] lr: 1.8280e-02 eta: 1 day, 6:03:25 time: 0.4041 data_time: 0.0156 memory: 13431 grad_norm: 4.3560 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0730 loss: 2.0730 2022/08/16 14:13:49 - mmengine - INFO - Epoch(train) [185][1600/3757] lr: 1.8280e-02 eta: 1 day, 6:02:45 time: 0.4070 data_time: 0.0148 memory: 13431 grad_norm: 4.3510 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2337 loss: 2.2337 2022/08/16 14:14:30 - mmengine - INFO - Epoch(train) [185][1700/3757] lr: 1.8280e-02 eta: 1 day, 6:02:05 time: 0.4134 data_time: 0.0153 memory: 13431 grad_norm: 4.1311 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0042 loss: 2.0042 2022/08/16 14:14:35 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 14:15:12 - mmengine - INFO - Epoch(train) [185][1800/3757] lr: 1.8280e-02 eta: 1 day, 6:01:26 time: 0.4238 data_time: 0.0149 memory: 13431 grad_norm: 4.2957 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0422 loss: 2.0422 2022/08/16 14:15:53 - mmengine - INFO - Epoch(train) [185][1900/3757] lr: 1.8280e-02 eta: 1 day, 6:00:46 time: 0.4065 data_time: 0.0152 memory: 13431 grad_norm: 4.2665 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2437 loss: 2.2437 2022/08/16 14:16:34 - mmengine - INFO - Epoch(train) [185][2000/3757] lr: 1.8280e-02 eta: 1 day, 6:00:06 time: 0.4104 data_time: 0.0174 memory: 13431 grad_norm: 4.2402 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1479 loss: 2.1479 2022/08/16 14:17:15 - mmengine - INFO - Epoch(train) [185][2100/3757] lr: 1.8280e-02 eta: 1 day, 5:59:26 time: 0.4095 data_time: 0.0160 memory: 13431 grad_norm: 4.1679 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9926 loss: 1.9926 2022/08/16 14:17:56 - mmengine - INFO - Epoch(train) [185][2200/3757] lr: 1.8280e-02 eta: 1 day, 5:58:46 time: 0.4053 data_time: 0.0153 memory: 13431 grad_norm: 4.1698 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8873 loss: 1.8873 2022/08/16 14:18:37 - mmengine - INFO - Epoch(train) [185][2300/3757] lr: 1.8280e-02 eta: 1 day, 5:58:06 time: 0.4053 data_time: 0.0145 memory: 13431 grad_norm: 4.4201 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8851 loss: 1.8851 2022/08/16 14:19:18 - mmengine - INFO - Epoch(train) [185][2400/3757] lr: 1.8280e-02 eta: 1 day, 5:57:26 time: 0.4053 data_time: 0.0150 memory: 13431 grad_norm: 4.2445 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1712 loss: 2.1712 2022/08/16 14:19:59 - mmengine - INFO - Epoch(train) [185][2500/3757] lr: 1.8280e-02 eta: 1 day, 5:56:46 time: 0.4176 data_time: 0.0155 memory: 13431 grad_norm: 4.3156 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2864 loss: 2.2864 2022/08/16 14:20:40 - mmengine - INFO - Epoch(train) [185][2600/3757] lr: 1.8280e-02 eta: 1 day, 5:56:06 time: 0.4061 data_time: 0.0150 memory: 13431 grad_norm: 4.3479 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9120 loss: 1.9120 2022/08/16 14:21:21 - mmengine - INFO - Epoch(train) [185][2700/3757] lr: 1.8280e-02 eta: 1 day, 5:55:26 time: 0.4111 data_time: 0.0151 memory: 13431 grad_norm: 4.2558 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2222 loss: 2.2222 2022/08/16 14:21:26 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 14:22:02 - mmengine - INFO - Epoch(train) [185][2800/3757] lr: 1.8280e-02 eta: 1 day, 5:54:46 time: 0.4073 data_time: 0.0162 memory: 13431 grad_norm: 4.1164 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0035 loss: 2.0035 2022/08/16 14:22:44 - mmengine - INFO - Epoch(train) [185][2900/3757] lr: 1.8280e-02 eta: 1 day, 5:54:06 time: 0.4070 data_time: 0.0148 memory: 13431 grad_norm: 4.1443 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0720 loss: 2.0720 2022/08/16 14:23:25 - mmengine - INFO - Epoch(train) [185][3000/3757] lr: 1.8280e-02 eta: 1 day, 5:53:26 time: 0.4082 data_time: 0.0152 memory: 13431 grad_norm: 4.2793 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1481 loss: 2.1481 2022/08/16 14:24:06 - mmengine - INFO - Epoch(train) [185][3100/3757] lr: 1.8280e-02 eta: 1 day, 5:52:46 time: 0.4108 data_time: 0.0162 memory: 13431 grad_norm: 4.2458 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.1377 loss: 2.1377 2022/08/16 14:24:47 - mmengine - INFO - Epoch(train) [185][3200/3757] lr: 1.8280e-02 eta: 1 day, 5:52:06 time: 0.4086 data_time: 0.0170 memory: 13431 grad_norm: 4.5066 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2239 loss: 2.2239 2022/08/16 14:25:28 - mmengine - INFO - Epoch(train) [185][3300/3757] lr: 1.8280e-02 eta: 1 day, 5:51:26 time: 0.4072 data_time: 0.0166 memory: 13431 grad_norm: 4.2595 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8413 loss: 1.8413 2022/08/16 14:26:09 - mmengine - INFO - Epoch(train) [185][3400/3757] lr: 1.8280e-02 eta: 1 day, 5:50:46 time: 0.4205 data_time: 0.0167 memory: 13431 grad_norm: 4.1418 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3815 loss: 2.3815 2022/08/16 14:26:50 - mmengine - INFO - Epoch(train) [185][3500/3757] lr: 1.8280e-02 eta: 1 day, 5:50:06 time: 0.4134 data_time: 0.0148 memory: 13431 grad_norm: 4.2610 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2419 loss: 2.2419 2022/08/16 14:27:31 - mmengine - INFO - Epoch(train) [185][3600/3757] lr: 1.8280e-02 eta: 1 day, 5:49:26 time: 0.4059 data_time: 0.0154 memory: 13431 grad_norm: 4.2236 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9780 loss: 1.9780 2022/08/16 14:28:12 - mmengine - INFO - Epoch(train) [185][3700/3757] lr: 1.8280e-02 eta: 1 day, 5:48:46 time: 0.4141 data_time: 0.0179 memory: 13431 grad_norm: 4.2697 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0463 loss: 2.0463 2022/08/16 14:28:17 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 14:28:35 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 14:28:35 - mmengine - INFO - Epoch(train) [185][3757/3757] lr: 1.8280e-02 eta: 1 day, 5:48:30 time: 0.3956 data_time: 0.0145 memory: 13431 grad_norm: 4.1535 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 2.0441 loss: 2.0441 2022/08/16 14:28:58 - mmengine - INFO - Epoch(val) [185][100/310] eta: 0:00:44 time: 0.2122 data_time: 0.0840 memory: 1974 2022/08/16 14:29:19 - mmengine - INFO - Epoch(val) [185][200/310] eta: 0:00:21 time: 0.1917 data_time: 0.0631 memory: 1974 2022/08/16 14:29:40 - mmengine - INFO - Epoch(val) [185][300/310] eta: 0:00:02 time: 0.2089 data_time: 0.0821 memory: 1974 2022/08/16 14:29:45 - mmengine - INFO - Epoch(val) [185][310/310] acc/top1: 0.5861 acc/top5: 0.8230 acc/mean1: 0.5860 2022/08/16 14:29:45 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_181.pth is removed 2022/08/16 14:29:49 - mmengine - INFO - The best checkpoint with 0.5861 acc/top1 at 186 epoch is saved to best_acc/top1_epoch_186.pth. 2022/08/16 14:30:31 - mmengine - INFO - Epoch(train) [186][100/3757] lr: 1.7808e-02 eta: 1 day, 5:47:41 time: 0.4042 data_time: 0.0153 memory: 13431 grad_norm: 4.2245 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0852 loss: 2.0852 2022/08/16 14:31:12 - mmengine - INFO - Epoch(train) [186][200/3757] lr: 1.7808e-02 eta: 1 day, 5:47:01 time: 0.4088 data_time: 0.0160 memory: 13431 grad_norm: 4.3451 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1009 loss: 2.1009 2022/08/16 14:31:53 - mmengine - INFO - Epoch(train) [186][300/3757] lr: 1.7808e-02 eta: 1 day, 5:46:21 time: 0.4118 data_time: 0.0153 memory: 13431 grad_norm: 4.3665 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9260 loss: 1.9260 2022/08/16 14:32:34 - mmengine - INFO - Epoch(train) [186][400/3757] lr: 1.7808e-02 eta: 1 day, 5:45:41 time: 0.4054 data_time: 0.0158 memory: 13431 grad_norm: 4.2686 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2027 loss: 2.2027 2022/08/16 14:33:16 - mmengine - INFO - Epoch(train) [186][500/3757] lr: 1.7808e-02 eta: 1 day, 5:45:01 time: 0.4046 data_time: 0.0164 memory: 13431 grad_norm: 4.4125 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0363 loss: 2.0363 2022/08/16 14:33:57 - mmengine - INFO - Epoch(train) [186][600/3757] lr: 1.7808e-02 eta: 1 day, 5:44:21 time: 0.4067 data_time: 0.0156 memory: 13431 grad_norm: 4.2937 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0708 loss: 2.0708 2022/08/16 14:34:38 - mmengine - INFO - Epoch(train) [186][700/3757] lr: 1.7808e-02 eta: 1 day, 5:43:41 time: 0.4071 data_time: 0.0183 memory: 13431 grad_norm: 4.1923 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1302 loss: 2.1302 2022/08/16 14:35:19 - mmengine - INFO - Epoch(train) [186][800/3757] lr: 1.7808e-02 eta: 1 day, 5:43:01 time: 0.4061 data_time: 0.0151 memory: 13431 grad_norm: 4.3866 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2650 loss: 2.2650 2022/08/16 14:36:00 - mmengine - INFO - Epoch(train) [186][900/3757] lr: 1.7808e-02 eta: 1 day, 5:42:21 time: 0.4072 data_time: 0.0150 memory: 13431 grad_norm: 4.3035 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9578 loss: 1.9578 2022/08/16 14:36:22 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 14:36:41 - mmengine - INFO - Epoch(train) [186][1000/3757] lr: 1.7808e-02 eta: 1 day, 5:41:41 time: 0.4119 data_time: 0.0166 memory: 13431 grad_norm: 4.4023 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0847 loss: 2.0847 2022/08/16 14:37:22 - mmengine - INFO - Epoch(train) [186][1100/3757] lr: 1.7808e-02 eta: 1 day, 5:41:01 time: 0.4045 data_time: 0.0154 memory: 13431 grad_norm: 4.2101 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9263 loss: 1.9263 2022/08/16 14:38:03 - mmengine - INFO - Epoch(train) [186][1200/3757] lr: 1.7808e-02 eta: 1 day, 5:40:21 time: 0.4059 data_time: 0.0152 memory: 13431 grad_norm: 4.3594 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3541 loss: 2.3541 2022/08/16 14:38:44 - mmengine - INFO - Epoch(train) [186][1300/3757] lr: 1.7808e-02 eta: 1 day, 5:39:41 time: 0.4065 data_time: 0.0161 memory: 13431 grad_norm: 4.3953 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2199 loss: 2.2199 2022/08/16 14:39:25 - mmengine - INFO - Epoch(train) [186][1400/3757] lr: 1.7808e-02 eta: 1 day, 5:39:01 time: 0.4047 data_time: 0.0154 memory: 13431 grad_norm: 4.2477 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0070 loss: 2.0070 2022/08/16 14:40:06 - mmengine - INFO - Epoch(train) [186][1500/3757] lr: 1.7808e-02 eta: 1 day, 5:38:21 time: 0.4076 data_time: 0.0152 memory: 13431 grad_norm: 4.2646 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3040 loss: 2.3040 2022/08/16 14:40:47 - mmengine - INFO - Epoch(train) [186][1600/3757] lr: 1.7808e-02 eta: 1 day, 5:37:41 time: 0.4058 data_time: 0.0150 memory: 13431 grad_norm: 4.2554 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0768 loss: 2.0768 2022/08/16 14:41:28 - mmengine - INFO - Epoch(train) [186][1700/3757] lr: 1.7808e-02 eta: 1 day, 5:37:01 time: 0.4108 data_time: 0.0157 memory: 13431 grad_norm: 4.2572 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1298 loss: 2.1298 2022/08/16 14:42:09 - mmengine - INFO - Epoch(train) [186][1800/3757] lr: 1.7808e-02 eta: 1 day, 5:36:21 time: 0.4057 data_time: 0.0164 memory: 13431 grad_norm: 4.4224 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1618 loss: 2.1618 2022/08/16 14:42:50 - mmengine - INFO - Epoch(train) [186][1900/3757] lr: 1.7808e-02 eta: 1 day, 5:35:41 time: 0.4105 data_time: 0.0164 memory: 13431 grad_norm: 4.2155 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0705 loss: 2.0705 2022/08/16 14:43:13 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 14:43:31 - mmengine - INFO - Epoch(train) [186][2000/3757] lr: 1.7808e-02 eta: 1 day, 5:35:01 time: 0.4049 data_time: 0.0145 memory: 13431 grad_norm: 4.3821 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.4772 loss: 2.4772 2022/08/16 14:44:12 - mmengine - INFO - Epoch(train) [186][2100/3757] lr: 1.7808e-02 eta: 1 day, 5:34:21 time: 0.4054 data_time: 0.0157 memory: 13431 grad_norm: 4.3378 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9557 loss: 1.9557 2022/08/16 14:44:53 - mmengine - INFO - Epoch(train) [186][2200/3757] lr: 1.7808e-02 eta: 1 day, 5:33:41 time: 0.4064 data_time: 0.0163 memory: 13431 grad_norm: 4.2751 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.1640 loss: 2.1640 2022/08/16 14:45:34 - mmengine - INFO - Epoch(train) [186][2300/3757] lr: 1.7808e-02 eta: 1 day, 5:33:01 time: 0.4110 data_time: 0.0156 memory: 13431 grad_norm: 4.2750 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2387 loss: 2.2387 2022/08/16 14:46:15 - mmengine - INFO - Epoch(train) [186][2400/3757] lr: 1.7808e-02 eta: 1 day, 5:32:21 time: 0.4096 data_time: 0.0157 memory: 13431 grad_norm: 4.3854 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1684 loss: 2.1684 2022/08/16 14:46:56 - mmengine - INFO - Epoch(train) [186][2500/3757] lr: 1.7808e-02 eta: 1 day, 5:31:41 time: 0.4143 data_time: 0.0162 memory: 13431 grad_norm: 4.2755 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0695 loss: 2.0695 2022/08/16 14:47:37 - mmengine - INFO - Epoch(train) [186][2600/3757] lr: 1.7808e-02 eta: 1 day, 5:31:01 time: 0.4104 data_time: 0.0162 memory: 13431 grad_norm: 4.3067 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3465 loss: 2.3465 2022/08/16 14:48:18 - mmengine - INFO - Epoch(train) [186][2700/3757] lr: 1.7808e-02 eta: 1 day, 5:30:22 time: 0.4102 data_time: 0.0156 memory: 13431 grad_norm: 4.2888 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0358 loss: 2.0358 2022/08/16 14:48:59 - mmengine - INFO - Epoch(train) [186][2800/3757] lr: 1.7808e-02 eta: 1 day, 5:29:41 time: 0.4089 data_time: 0.0157 memory: 13431 grad_norm: 4.3750 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2250 loss: 2.2250 2022/08/16 14:49:40 - mmengine - INFO - Epoch(train) [186][2900/3757] lr: 1.7808e-02 eta: 1 day, 5:29:02 time: 0.4103 data_time: 0.0157 memory: 13431 grad_norm: 4.3844 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0171 loss: 2.0171 2022/08/16 14:50:03 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 14:50:21 - mmengine - INFO - Epoch(train) [186][3000/3757] lr: 1.7808e-02 eta: 1 day, 5:28:22 time: 0.4087 data_time: 0.0156 memory: 13431 grad_norm: 4.3068 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1964 loss: 2.1964 2022/08/16 14:51:03 - mmengine - INFO - Epoch(train) [186][3100/3757] lr: 1.7808e-02 eta: 1 day, 5:27:42 time: 0.4142 data_time: 0.0154 memory: 13431 grad_norm: 4.3251 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1306 loss: 2.1306 2022/08/16 14:51:44 - mmengine - INFO - Epoch(train) [186][3200/3757] lr: 1.7808e-02 eta: 1 day, 5:27:02 time: 0.4043 data_time: 0.0159 memory: 13431 grad_norm: 4.2233 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0003 loss: 2.0003 2022/08/16 14:52:25 - mmengine - INFO - Epoch(train) [186][3300/3757] lr: 1.7808e-02 eta: 1 day, 5:26:22 time: 0.4047 data_time: 0.0150 memory: 13431 grad_norm: 4.4752 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9819 loss: 1.9819 2022/08/16 14:53:06 - mmengine - INFO - Epoch(train) [186][3400/3757] lr: 1.7808e-02 eta: 1 day, 5:25:42 time: 0.4074 data_time: 0.0157 memory: 13431 grad_norm: 4.2872 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0836 loss: 2.0836 2022/08/16 14:53:47 - mmengine - INFO - Epoch(train) [186][3500/3757] lr: 1.7808e-02 eta: 1 day, 5:25:02 time: 0.4068 data_time: 0.0160 memory: 13431 grad_norm: 4.4599 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1660 loss: 2.1660 2022/08/16 14:54:28 - mmengine - INFO - Epoch(train) [186][3600/3757] lr: 1.7808e-02 eta: 1 day, 5:24:22 time: 0.4089 data_time: 0.0160 memory: 13431 grad_norm: 4.4460 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0751 loss: 2.0751 2022/08/16 14:55:09 - mmengine - INFO - Epoch(train) [186][3700/3757] lr: 1.7808e-02 eta: 1 day, 5:23:42 time: 0.4077 data_time: 0.0163 memory: 13431 grad_norm: 4.2130 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8937 loss: 1.8937 2022/08/16 14:55:32 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 14:55:32 - mmengine - INFO - Epoch(train) [186][3757/3757] lr: 1.7808e-02 eta: 1 day, 5:23:26 time: 0.3935 data_time: 0.0144 memory: 13431 grad_norm: 4.4483 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 2.0373 loss: 2.0373 2022/08/16 14:56:15 - mmengine - INFO - Epoch(train) [187][100/3757] lr: 1.7341e-02 eta: 1 day, 5:22:37 time: 0.4063 data_time: 0.0159 memory: 13431 grad_norm: 4.2632 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9166 loss: 1.9166 2022/08/16 14:56:56 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 14:56:57 - mmengine - INFO - Epoch(train) [187][200/3757] lr: 1.7341e-02 eta: 1 day, 5:21:57 time: 0.4076 data_time: 0.0162 memory: 13431 grad_norm: 4.2260 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3678 loss: 2.3678 2022/08/16 14:57:38 - mmengine - INFO - Epoch(train) [187][300/3757] lr: 1.7341e-02 eta: 1 day, 5:21:17 time: 0.4066 data_time: 0.0174 memory: 13431 grad_norm: 4.2929 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9849 loss: 1.9849 2022/08/16 14:58:19 - mmengine - INFO - Epoch(train) [187][400/3757] lr: 1.7341e-02 eta: 1 day, 5:20:37 time: 0.4078 data_time: 0.0179 memory: 13431 grad_norm: 4.1638 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0095 loss: 2.0095 2022/08/16 14:59:00 - mmengine - INFO - Epoch(train) [187][500/3757] lr: 1.7341e-02 eta: 1 day, 5:19:57 time: 0.4067 data_time: 0.0168 memory: 13431 grad_norm: 4.4821 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.0440 loss: 2.0440 2022/08/16 14:59:41 - mmengine - INFO - Epoch(train) [187][600/3757] lr: 1.7341e-02 eta: 1 day, 5:19:17 time: 0.4067 data_time: 0.0159 memory: 13431 grad_norm: 4.3521 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2004 loss: 2.2004 2022/08/16 15:00:22 - mmengine - INFO - Epoch(train) [187][700/3757] lr: 1.7341e-02 eta: 1 day, 5:18:37 time: 0.4086 data_time: 0.0163 memory: 13431 grad_norm: 4.4517 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0706 loss: 2.0706 2022/08/16 15:01:03 - mmengine - INFO - Epoch(train) [187][800/3757] lr: 1.7341e-02 eta: 1 day, 5:17:57 time: 0.4093 data_time: 0.0158 memory: 13431 grad_norm: 4.3441 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3112 loss: 2.3112 2022/08/16 15:01:44 - mmengine - INFO - Epoch(train) [187][900/3757] lr: 1.7341e-02 eta: 1 day, 5:17:17 time: 0.4052 data_time: 0.0149 memory: 13431 grad_norm: 4.2136 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0275 loss: 2.0275 2022/08/16 15:02:25 - mmengine - INFO - Epoch(train) [187][1000/3757] lr: 1.7341e-02 eta: 1 day, 5:16:37 time: 0.4058 data_time: 0.0162 memory: 13431 grad_norm: 4.3718 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0538 loss: 2.0538 2022/08/16 15:03:06 - mmengine - INFO - Epoch(train) [187][1100/3757] lr: 1.7341e-02 eta: 1 day, 5:15:57 time: 0.4079 data_time: 0.0160 memory: 13431 grad_norm: 4.4180 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0249 loss: 2.0249 2022/08/16 15:03:46 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 15:03:47 - mmengine - INFO - Epoch(train) [187][1200/3757] lr: 1.7341e-02 eta: 1 day, 5:15:17 time: 0.4144 data_time: 0.0162 memory: 13431 grad_norm: 4.5211 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1257 loss: 2.1257 2022/08/16 15:04:28 - mmengine - INFO - Epoch(train) [187][1300/3757] lr: 1.7341e-02 eta: 1 day, 5:14:37 time: 0.4095 data_time: 0.0168 memory: 13431 grad_norm: 4.5206 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2035 loss: 2.2035 2022/08/16 15:05:09 - mmengine - INFO - Epoch(train) [187][1400/3757] lr: 1.7341e-02 eta: 1 day, 5:13:57 time: 0.4063 data_time: 0.0144 memory: 13431 grad_norm: 4.1361 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0943 loss: 2.0943 2022/08/16 15:05:50 - mmengine - INFO - Epoch(train) [187][1500/3757] lr: 1.7341e-02 eta: 1 day, 5:13:17 time: 0.4093 data_time: 0.0153 memory: 13431 grad_norm: 4.3484 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0481 loss: 2.0481 2022/08/16 15:06:31 - mmengine - INFO - Epoch(train) [187][1600/3757] lr: 1.7341e-02 eta: 1 day, 5:12:37 time: 0.4062 data_time: 0.0155 memory: 13431 grad_norm: 4.2055 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1061 loss: 2.1061 2022/08/16 15:07:12 - mmengine - INFO - Epoch(train) [187][1700/3757] lr: 1.7341e-02 eta: 1 day, 5:11:57 time: 0.4071 data_time: 0.0193 memory: 13431 grad_norm: 4.4047 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9704 loss: 1.9704 2022/08/16 15:07:53 - mmengine - INFO - Epoch(train) [187][1800/3757] lr: 1.7341e-02 eta: 1 day, 5:11:17 time: 0.4060 data_time: 0.0146 memory: 13431 grad_norm: 4.1414 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9313 loss: 1.9313 2022/08/16 15:08:34 - mmengine - INFO - Epoch(train) [187][1900/3757] lr: 1.7341e-02 eta: 1 day, 5:10:37 time: 0.4092 data_time: 0.0148 memory: 13431 grad_norm: 4.2430 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0958 loss: 2.0958 2022/08/16 15:09:16 - mmengine - INFO - Epoch(train) [187][2000/3757] lr: 1.7341e-02 eta: 1 day, 5:09:57 time: 0.4070 data_time: 0.0172 memory: 13431 grad_norm: 4.3144 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2153 loss: 2.2153 2022/08/16 15:09:57 - mmengine - INFO - Epoch(train) [187][2100/3757] lr: 1.7341e-02 eta: 1 day, 5:09:17 time: 0.4087 data_time: 0.0163 memory: 13431 grad_norm: 4.4984 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0148 loss: 2.0148 2022/08/16 15:10:37 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 15:10:38 - mmengine - INFO - Epoch(train) [187][2200/3757] lr: 1.7341e-02 eta: 1 day, 5:08:37 time: 0.4053 data_time: 0.0158 memory: 13431 grad_norm: 4.5507 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0274 loss: 2.0274 2022/08/16 15:11:19 - mmengine - INFO - Epoch(train) [187][2300/3757] lr: 1.7341e-02 eta: 1 day, 5:07:58 time: 0.4091 data_time: 0.0151 memory: 13431 grad_norm: 4.3375 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2378 loss: 2.2378 2022/08/16 15:12:00 - mmengine - INFO - Epoch(train) [187][2400/3757] lr: 1.7341e-02 eta: 1 day, 5:07:18 time: 0.4167 data_time: 0.0177 memory: 13431 grad_norm: 4.3120 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0777 loss: 2.0777 2022/08/16 15:12:41 - mmengine - INFO - Epoch(train) [187][2500/3757] lr: 1.7341e-02 eta: 1 day, 5:06:38 time: 0.4104 data_time: 0.0172 memory: 13431 grad_norm: 4.2979 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7443 loss: 1.7443 2022/08/16 15:13:22 - mmengine - INFO - Epoch(train) [187][2600/3757] lr: 1.7341e-02 eta: 1 day, 5:05:58 time: 0.4088 data_time: 0.0152 memory: 13431 grad_norm: 4.4290 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8494 loss: 1.8494 2022/08/16 15:14:03 - mmengine - INFO - Epoch(train) [187][2700/3757] lr: 1.7341e-02 eta: 1 day, 5:05:18 time: 0.4057 data_time: 0.0158 memory: 13431 grad_norm: 4.4138 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9984 loss: 1.9984 2022/08/16 15:14:44 - mmengine - INFO - Epoch(train) [187][2800/3757] lr: 1.7341e-02 eta: 1 day, 5:04:38 time: 0.4057 data_time: 0.0149 memory: 13431 grad_norm: 4.2792 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0236 loss: 2.0236 2022/08/16 15:15:25 - mmengine - INFO - Epoch(train) [187][2900/3757] lr: 1.7341e-02 eta: 1 day, 5:03:58 time: 0.4064 data_time: 0.0159 memory: 13431 grad_norm: 4.2560 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3069 loss: 2.3069 2022/08/16 15:16:06 - mmengine - INFO - Epoch(train) [187][3000/3757] lr: 1.7341e-02 eta: 1 day, 5:03:18 time: 0.4044 data_time: 0.0156 memory: 13431 grad_norm: 4.1494 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0881 loss: 2.0881 2022/08/16 15:16:47 - mmengine - INFO - Epoch(train) [187][3100/3757] lr: 1.7341e-02 eta: 1 day, 5:02:38 time: 0.4083 data_time: 0.0169 memory: 13431 grad_norm: 4.3356 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1174 loss: 2.1174 2022/08/16 15:17:28 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 15:17:29 - mmengine - INFO - Epoch(train) [187][3200/3757] lr: 1.7341e-02 eta: 1 day, 5:01:58 time: 0.4102 data_time: 0.0157 memory: 13431 grad_norm: 4.3905 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9835 loss: 1.9835 2022/08/16 15:18:10 - mmengine - INFO - Epoch(train) [187][3300/3757] lr: 1.7341e-02 eta: 1 day, 5:01:18 time: 0.4055 data_time: 0.0152 memory: 13431 grad_norm: 4.3469 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.1504 loss: 2.1504 2022/08/16 15:18:51 - mmengine - INFO - Epoch(train) [187][3400/3757] lr: 1.7341e-02 eta: 1 day, 5:00:38 time: 0.4080 data_time: 0.0148 memory: 13431 grad_norm: 4.2798 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8417 loss: 1.8417 2022/08/16 15:19:32 - mmengine - INFO - Epoch(train) [187][3500/3757] lr: 1.7341e-02 eta: 1 day, 4:59:58 time: 0.4086 data_time: 0.0165 memory: 13431 grad_norm: 4.3353 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3967 loss: 2.3967 2022/08/16 15:20:13 - mmengine - INFO - Epoch(train) [187][3600/3757] lr: 1.7341e-02 eta: 1 day, 4:59:18 time: 0.4055 data_time: 0.0163 memory: 13431 grad_norm: 4.2243 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4722 loss: 2.4722 2022/08/16 15:20:54 - mmengine - INFO - Epoch(train) [187][3700/3757] lr: 1.7341e-02 eta: 1 day, 4:58:38 time: 0.4066 data_time: 0.0171 memory: 13431 grad_norm: 4.1840 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1779 loss: 2.1779 2022/08/16 15:21:17 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 15:21:17 - mmengine - INFO - Epoch(train) [187][3757/3757] lr: 1.7341e-02 eta: 1 day, 4:58:22 time: 0.4009 data_time: 0.0139 memory: 13431 grad_norm: 4.3169 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.9853 loss: 1.9853 2022/08/16 15:22:00 - mmengine - INFO - Epoch(train) [188][100/3757] lr: 1.6879e-02 eta: 1 day, 4:57:33 time: 0.4141 data_time: 0.0161 memory: 13431 grad_norm: 4.1984 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1517 loss: 2.1517 2022/08/16 15:22:41 - mmengine - INFO - Epoch(train) [188][200/3757] lr: 1.6879e-02 eta: 1 day, 4:56:53 time: 0.4067 data_time: 0.0152 memory: 13431 grad_norm: 4.2359 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2786 loss: 2.2786 2022/08/16 15:23:22 - mmengine - INFO - Epoch(train) [188][300/3757] lr: 1.6879e-02 eta: 1 day, 4:56:13 time: 0.4062 data_time: 0.0154 memory: 13431 grad_norm: 4.4047 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9586 loss: 1.9586 2022/08/16 15:24:04 - mmengine - INFO - Epoch(train) [188][400/3757] lr: 1.6879e-02 eta: 1 day, 4:55:33 time: 0.4082 data_time: 0.0167 memory: 13431 grad_norm: 4.2540 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8628 loss: 1.8628 2022/08/16 15:24:21 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 15:24:45 - mmengine - INFO - Epoch(train) [188][500/3757] lr: 1.6879e-02 eta: 1 day, 4:54:53 time: 0.4069 data_time: 0.0162 memory: 13431 grad_norm: 4.5931 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1050 loss: 2.1050 2022/08/16 15:25:26 - mmengine - INFO - Epoch(train) [188][600/3757] lr: 1.6879e-02 eta: 1 day, 4:54:13 time: 0.4071 data_time: 0.0158 memory: 13431 grad_norm: 4.3444 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0094 loss: 2.0094 2022/08/16 15:26:07 - mmengine - INFO - Epoch(train) [188][700/3757] lr: 1.6879e-02 eta: 1 day, 4:53:33 time: 0.4118 data_time: 0.0154 memory: 13431 grad_norm: 4.3644 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1516 loss: 2.1516 2022/08/16 15:26:48 - mmengine - INFO - Epoch(train) [188][800/3757] lr: 1.6879e-02 eta: 1 day, 4:52:53 time: 0.4067 data_time: 0.0149 memory: 13431 grad_norm: 4.3589 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1764 loss: 2.1764 2022/08/16 15:27:29 - mmengine - INFO - Epoch(train) [188][900/3757] lr: 1.6879e-02 eta: 1 day, 4:52:13 time: 0.4077 data_time: 0.0174 memory: 13431 grad_norm: 4.4734 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8878 loss: 1.8878 2022/08/16 15:28:10 - mmengine - INFO - Epoch(train) [188][1000/3757] lr: 1.6879e-02 eta: 1 day, 4:51:33 time: 0.4054 data_time: 0.0155 memory: 13431 grad_norm: 4.3964 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0797 loss: 2.0797 2022/08/16 15:28:51 - mmengine - INFO - Epoch(train) [188][1100/3757] lr: 1.6879e-02 eta: 1 day, 4:50:53 time: 0.4085 data_time: 0.0156 memory: 13431 grad_norm: 4.3010 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0363 loss: 2.0363 2022/08/16 15:29:32 - mmengine - INFO - Epoch(train) [188][1200/3757] lr: 1.6879e-02 eta: 1 day, 4:50:13 time: 0.4149 data_time: 0.0150 memory: 13431 grad_norm: 4.3595 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1233 loss: 2.1233 2022/08/16 15:30:14 - mmengine - INFO - Epoch(train) [188][1300/3757] lr: 1.6879e-02 eta: 1 day, 4:49:33 time: 0.4143 data_time: 0.0162 memory: 13431 grad_norm: 4.3808 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0569 loss: 2.0569 2022/08/16 15:30:55 - mmengine - INFO - Epoch(train) [188][1400/3757] lr: 1.6879e-02 eta: 1 day, 4:48:53 time: 0.4200 data_time: 0.0156 memory: 13431 grad_norm: 4.5262 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8988 loss: 1.8988 2022/08/16 15:31:12 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 15:31:36 - mmengine - INFO - Epoch(train) [188][1500/3757] lr: 1.6879e-02 eta: 1 day, 4:48:13 time: 0.4132 data_time: 0.0157 memory: 13431 grad_norm: 4.4869 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1520 loss: 2.1520 2022/08/16 15:32:17 - mmengine - INFO - Epoch(train) [188][1600/3757] lr: 1.6879e-02 eta: 1 day, 4:47:33 time: 0.4067 data_time: 0.0145 memory: 13431 grad_norm: 4.3755 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9968 loss: 1.9968 2022/08/16 15:32:58 - mmengine - INFO - Epoch(train) [188][1700/3757] lr: 1.6879e-02 eta: 1 day, 4:46:53 time: 0.4079 data_time: 0.0162 memory: 13431 grad_norm: 4.5454 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8874 loss: 1.8874 2022/08/16 15:33:39 - mmengine - INFO - Epoch(train) [188][1800/3757] lr: 1.6879e-02 eta: 1 day, 4:46:13 time: 0.4109 data_time: 0.0169 memory: 13431 grad_norm: 4.6086 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2404 loss: 2.2404 2022/08/16 15:34:21 - mmengine - INFO - Epoch(train) [188][1900/3757] lr: 1.6879e-02 eta: 1 day, 4:45:34 time: 0.4113 data_time: 0.0165 memory: 13431 grad_norm: 4.5178 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9287 loss: 1.9287 2022/08/16 15:35:02 - mmengine - INFO - Epoch(train) [188][2000/3757] lr: 1.6879e-02 eta: 1 day, 4:44:54 time: 0.4169 data_time: 0.0175 memory: 13431 grad_norm: 4.5426 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.0865 loss: 2.0865 2022/08/16 15:35:43 - mmengine - INFO - Epoch(train) [188][2100/3757] lr: 1.6879e-02 eta: 1 day, 4:44:14 time: 0.4170 data_time: 0.0166 memory: 13431 grad_norm: 4.4951 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3493 loss: 2.3493 2022/08/16 15:36:24 - mmengine - INFO - Epoch(train) [188][2200/3757] lr: 1.6879e-02 eta: 1 day, 4:43:34 time: 0.4118 data_time: 0.0153 memory: 13431 grad_norm: 4.4626 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0614 loss: 2.0614 2022/08/16 15:37:05 - mmengine - INFO - Epoch(train) [188][2300/3757] lr: 1.6879e-02 eta: 1 day, 4:42:54 time: 0.4147 data_time: 0.0150 memory: 13431 grad_norm: 4.3638 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3483 loss: 2.3483 2022/08/16 15:37:46 - mmengine - INFO - Epoch(train) [188][2400/3757] lr: 1.6879e-02 eta: 1 day, 4:42:14 time: 0.4091 data_time: 0.0151 memory: 13431 grad_norm: 4.2841 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0050 loss: 2.0050 2022/08/16 15:38:03 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 15:38:27 - mmengine - INFO - Epoch(train) [188][2500/3757] lr: 1.6879e-02 eta: 1 day, 4:41:34 time: 0.4058 data_time: 0.0153 memory: 13431 grad_norm: 4.2939 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9374 loss: 1.9374 2022/08/16 15:39:08 - mmengine - INFO - Epoch(train) [188][2600/3757] lr: 1.6879e-02 eta: 1 day, 4:40:54 time: 0.4060 data_time: 0.0149 memory: 13431 grad_norm: 4.4607 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2609 loss: 2.2609 2022/08/16 15:39:50 - mmengine - INFO - Epoch(train) [188][2700/3757] lr: 1.6879e-02 eta: 1 day, 4:40:14 time: 0.4109 data_time: 0.0158 memory: 13431 grad_norm: 4.4662 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1019 loss: 2.1019 2022/08/16 15:40:31 - mmengine - INFO - Epoch(train) [188][2800/3757] lr: 1.6879e-02 eta: 1 day, 4:39:34 time: 0.4139 data_time: 0.0155 memory: 13431 grad_norm: 4.4991 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2481 loss: 2.2481 2022/08/16 15:41:12 - mmengine - INFO - Epoch(train) [188][2900/3757] lr: 1.6879e-02 eta: 1 day, 4:38:54 time: 0.4084 data_time: 0.0153 memory: 13431 grad_norm: 4.4791 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3769 loss: 2.3769 2022/08/16 15:41:53 - mmengine - INFO - Epoch(train) [188][3000/3757] lr: 1.6879e-02 eta: 1 day, 4:38:14 time: 0.4068 data_time: 0.0155 memory: 13431 grad_norm: 4.3501 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2571 loss: 2.2571 2022/08/16 15:42:34 - mmengine - INFO - Epoch(train) [188][3100/3757] lr: 1.6879e-02 eta: 1 day, 4:37:34 time: 0.4115 data_time: 0.0165 memory: 13431 grad_norm: 4.5769 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9851 loss: 1.9851 2022/08/16 15:43:15 - mmengine - INFO - Epoch(train) [188][3200/3757] lr: 1.6879e-02 eta: 1 day, 4:36:54 time: 0.4065 data_time: 0.0147 memory: 13431 grad_norm: 4.3937 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4108 loss: 2.4108 2022/08/16 15:43:56 - mmengine - INFO - Epoch(train) [188][3300/3757] lr: 1.6879e-02 eta: 1 day, 4:36:14 time: 0.4052 data_time: 0.0165 memory: 13431 grad_norm: 4.3810 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5921 loss: 2.5921 2022/08/16 15:44:37 - mmengine - INFO - Epoch(train) [188][3400/3757] lr: 1.6879e-02 eta: 1 day, 4:35:34 time: 0.4064 data_time: 0.0154 memory: 13431 grad_norm: 4.3859 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3395 loss: 2.3395 2022/08/16 15:44:54 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 15:45:18 - mmengine - INFO - Epoch(train) [188][3500/3757] lr: 1.6879e-02 eta: 1 day, 4:34:54 time: 0.4104 data_time: 0.0157 memory: 13431 grad_norm: 4.5286 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2670 loss: 2.2670 2022/08/16 15:45:59 - mmengine - INFO - Epoch(train) [188][3600/3757] lr: 1.6879e-02 eta: 1 day, 4:34:14 time: 0.4063 data_time: 0.0160 memory: 13431 grad_norm: 4.5014 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3601 loss: 2.3601 2022/08/16 15:46:40 - mmengine - INFO - Epoch(train) [188][3700/3757] lr: 1.6879e-02 eta: 1 day, 4:33:34 time: 0.4070 data_time: 0.0155 memory: 13431 grad_norm: 4.4064 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8615 loss: 1.8615 2022/08/16 15:47:04 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 15:47:04 - mmengine - INFO - Epoch(train) [188][3757/3757] lr: 1.6879e-02 eta: 1 day, 4:33:18 time: 0.4001 data_time: 0.0136 memory: 13431 grad_norm: 4.6411 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 2.2718 loss: 2.2718 2022/08/16 15:47:04 - mmengine - INFO - Saving checkpoint at 188 epochs 2022/08/16 15:47:52 - mmengine - INFO - Epoch(train) [189][100/3757] lr: 1.6422e-02 eta: 1 day, 4:32:29 time: 0.4095 data_time: 0.0165 memory: 13431 grad_norm: 4.4716 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9312 loss: 1.9312 2022/08/16 15:48:33 - mmengine - INFO - Epoch(train) [189][200/3757] lr: 1.6422e-02 eta: 1 day, 4:31:49 time: 0.4075 data_time: 0.0165 memory: 13431 grad_norm: 4.3239 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2576 loss: 2.2576 2022/08/16 15:49:14 - mmengine - INFO - Epoch(train) [189][300/3757] lr: 1.6422e-02 eta: 1 day, 4:31:09 time: 0.4119 data_time: 0.0154 memory: 13431 grad_norm: 4.3849 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8138 loss: 1.8138 2022/08/16 15:49:55 - mmengine - INFO - Epoch(train) [189][400/3757] lr: 1.6422e-02 eta: 1 day, 4:30:29 time: 0.4075 data_time: 0.0151 memory: 13431 grad_norm: 4.3809 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1681 loss: 2.1681 2022/08/16 15:50:36 - mmengine - INFO - Epoch(train) [189][500/3757] lr: 1.6422e-02 eta: 1 day, 4:29:49 time: 0.4078 data_time: 0.0165 memory: 13431 grad_norm: 4.4418 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0394 loss: 2.0394 2022/08/16 15:51:17 - mmengine - INFO - Epoch(train) [189][600/3757] lr: 1.6422e-02 eta: 1 day, 4:29:09 time: 0.4078 data_time: 0.0157 memory: 13431 grad_norm: 4.4268 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3718 loss: 2.3718 2022/08/16 15:51:52 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 15:51:58 - mmengine - INFO - Epoch(train) [189][700/3757] lr: 1.6422e-02 eta: 1 day, 4:28:29 time: 0.4082 data_time: 0.0169 memory: 13431 grad_norm: 4.4625 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1256 loss: 2.1256 2022/08/16 15:52:40 - mmengine - INFO - Epoch(train) [189][800/3757] lr: 1.6422e-02 eta: 1 day, 4:27:49 time: 0.4056 data_time: 0.0150 memory: 13431 grad_norm: 4.5360 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0473 loss: 2.0473 2022/08/16 15:53:21 - mmengine - INFO - Epoch(train) [189][900/3757] lr: 1.6422e-02 eta: 1 day, 4:27:09 time: 0.4107 data_time: 0.0161 memory: 13431 grad_norm: 4.5173 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0389 loss: 2.0389 2022/08/16 15:54:02 - mmengine - INFO - Epoch(train) [189][1000/3757] lr: 1.6422e-02 eta: 1 day, 4:26:29 time: 0.4126 data_time: 0.0153 memory: 13431 grad_norm: 4.3798 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8938 loss: 1.8938 2022/08/16 15:54:43 - mmengine - INFO - Epoch(train) [189][1100/3757] lr: 1.6422e-02 eta: 1 day, 4:25:49 time: 0.4071 data_time: 0.0182 memory: 13431 grad_norm: 4.3384 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8170 loss: 1.8170 2022/08/16 15:55:24 - mmengine - INFO - Epoch(train) [189][1200/3757] lr: 1.6422e-02 eta: 1 day, 4:25:09 time: 0.4080 data_time: 0.0164 memory: 13431 grad_norm: 4.5230 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0741 loss: 2.0741 2022/08/16 15:56:05 - mmengine - INFO - Epoch(train) [189][1300/3757] lr: 1.6422e-02 eta: 1 day, 4:24:29 time: 0.4080 data_time: 0.0171 memory: 13431 grad_norm: 4.3492 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0137 loss: 2.0137 2022/08/16 15:56:46 - mmengine - INFO - Epoch(train) [189][1400/3757] lr: 1.6422e-02 eta: 1 day, 4:23:49 time: 0.4058 data_time: 0.0149 memory: 13431 grad_norm: 4.4708 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6905 loss: 1.6905 2022/08/16 15:57:27 - mmengine - INFO - Epoch(train) [189][1500/3757] lr: 1.6422e-02 eta: 1 day, 4:23:09 time: 0.4098 data_time: 0.0162 memory: 13431 grad_norm: 4.5286 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2139 loss: 2.2139 2022/08/16 15:58:08 - mmengine - INFO - Epoch(train) [189][1600/3757] lr: 1.6422e-02 eta: 1 day, 4:22:29 time: 0.4114 data_time: 0.0164 memory: 13431 grad_norm: 4.5004 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3550 loss: 2.3550 2022/08/16 15:58:43 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 15:58:49 - mmengine - INFO - Epoch(train) [189][1700/3757] lr: 1.6422e-02 eta: 1 day, 4:21:49 time: 0.4105 data_time: 0.0148 memory: 13431 grad_norm: 4.3432 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8756 loss: 1.8756 2022/08/16 15:59:30 - mmengine - INFO - Epoch(train) [189][1800/3757] lr: 1.6422e-02 eta: 1 day, 4:21:09 time: 0.4080 data_time: 0.0153 memory: 13431 grad_norm: 4.1050 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4427 loss: 2.4427 2022/08/16 16:00:11 - mmengine - INFO - Epoch(train) [189][1900/3757] lr: 1.6422e-02 eta: 1 day, 4:20:29 time: 0.4073 data_time: 0.0166 memory: 13431 grad_norm: 4.4544 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0232 loss: 2.0232 2022/08/16 16:00:52 - mmengine - INFO - Epoch(train) [189][2000/3757] lr: 1.6422e-02 eta: 1 day, 4:19:49 time: 0.4042 data_time: 0.0151 memory: 13431 grad_norm: 4.3290 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9740 loss: 1.9740 2022/08/16 16:01:33 - mmengine - INFO - Epoch(train) [189][2100/3757] lr: 1.6422e-02 eta: 1 day, 4:19:09 time: 0.4062 data_time: 0.0158 memory: 13431 grad_norm: 4.4600 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 2.6268 loss: 2.6268 2022/08/16 16:02:15 - mmengine - INFO - Epoch(train) [189][2200/3757] lr: 1.6422e-02 eta: 1 day, 4:18:29 time: 0.4061 data_time: 0.0156 memory: 13431 grad_norm: 4.5935 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1060 loss: 2.1060 2022/08/16 16:02:56 - mmengine - INFO - Epoch(train) [189][2300/3757] lr: 1.6422e-02 eta: 1 day, 4:17:49 time: 0.4140 data_time: 0.0153 memory: 13431 grad_norm: 4.4157 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0472 loss: 2.0472 2022/08/16 16:03:37 - mmengine - INFO - Epoch(train) [189][2400/3757] lr: 1.6422e-02 eta: 1 day, 4:17:09 time: 0.4134 data_time: 0.0173 memory: 13431 grad_norm: 4.4928 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1133 loss: 2.1133 2022/08/16 16:04:18 - mmengine - INFO - Epoch(train) [189][2500/3757] lr: 1.6422e-02 eta: 1 day, 4:16:29 time: 0.4064 data_time: 0.0156 memory: 13431 grad_norm: 4.4329 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1968 loss: 2.1968 2022/08/16 16:04:59 - mmengine - INFO - Epoch(train) [189][2600/3757] lr: 1.6422e-02 eta: 1 day, 4:15:49 time: 0.4062 data_time: 0.0151 memory: 13431 grad_norm: 4.5199 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1354 loss: 2.1354 2022/08/16 16:05:33 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 16:05:40 - mmengine - INFO - Epoch(train) [189][2700/3757] lr: 1.6422e-02 eta: 1 day, 4:15:09 time: 0.4078 data_time: 0.0153 memory: 13431 grad_norm: 4.4354 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3405 loss: 2.3405 2022/08/16 16:06:21 - mmengine - INFO - Epoch(train) [189][2800/3757] lr: 1.6422e-02 eta: 1 day, 4:14:29 time: 0.4062 data_time: 0.0151 memory: 13431 grad_norm: 4.3074 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0439 loss: 2.0439 2022/08/16 16:07:02 - mmengine - INFO - Epoch(train) [189][2900/3757] lr: 1.6422e-02 eta: 1 day, 4:13:49 time: 0.4053 data_time: 0.0150 memory: 13431 grad_norm: 4.4323 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9443 loss: 1.9443 2022/08/16 16:07:43 - mmengine - INFO - Epoch(train) [189][3000/3757] lr: 1.6422e-02 eta: 1 day, 4:13:09 time: 0.4124 data_time: 0.0157 memory: 13431 grad_norm: 4.6860 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3028 loss: 2.3028 2022/08/16 16:08:25 - mmengine - INFO - Epoch(train) [189][3100/3757] lr: 1.6422e-02 eta: 1 day, 4:12:29 time: 0.4140 data_time: 0.0156 memory: 13431 grad_norm: 4.3415 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3637 loss: 2.3637 2022/08/16 16:09:06 - mmengine - INFO - Epoch(train) [189][3200/3757] lr: 1.6422e-02 eta: 1 day, 4:11:49 time: 0.4091 data_time: 0.0163 memory: 13431 grad_norm: 4.5320 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0648 loss: 2.0648 2022/08/16 16:09:47 - mmengine - INFO - Epoch(train) [189][3300/3757] lr: 1.6422e-02 eta: 1 day, 4:11:09 time: 0.4103 data_time: 0.0166 memory: 13431 grad_norm: 4.2559 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1132 loss: 2.1132 2022/08/16 16:10:28 - mmengine - INFO - Epoch(train) [189][3400/3757] lr: 1.6422e-02 eta: 1 day, 4:10:29 time: 0.4095 data_time: 0.0159 memory: 13431 grad_norm: 4.2309 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0323 loss: 2.0323 2022/08/16 16:11:09 - mmengine - INFO - Epoch(train) [189][3500/3757] lr: 1.6422e-02 eta: 1 day, 4:09:49 time: 0.4081 data_time: 0.0159 memory: 13431 grad_norm: 4.5102 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1135 loss: 2.1135 2022/08/16 16:11:51 - mmengine - INFO - Epoch(train) [189][3600/3757] lr: 1.6422e-02 eta: 1 day, 4:09:09 time: 0.4067 data_time: 0.0152 memory: 13431 grad_norm: 4.3450 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7301 loss: 1.7301 2022/08/16 16:12:25 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 16:12:32 - mmengine - INFO - Epoch(train) [189][3700/3757] lr: 1.6422e-02 eta: 1 day, 4:08:29 time: 0.4104 data_time: 0.0151 memory: 13431 grad_norm: 4.4431 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5038 loss: 2.5038 2022/08/16 16:12:55 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 16:12:55 - mmengine - INFO - Epoch(train) [189][3757/3757] lr: 1.6422e-02 eta: 1 day, 4:08:13 time: 0.3974 data_time: 0.0143 memory: 13431 grad_norm: 4.4803 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8284 loss: 1.8284 2022/08/16 16:13:39 - mmengine - INFO - Epoch(train) [190][100/3757] lr: 1.5970e-02 eta: 1 day, 4:07:25 time: 0.4056 data_time: 0.0155 memory: 13431 grad_norm: 4.3037 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0790 loss: 2.0790 2022/08/16 16:14:20 - mmengine - INFO - Epoch(train) [190][200/3757] lr: 1.5970e-02 eta: 1 day, 4:06:45 time: 0.4127 data_time: 0.0161 memory: 13431 grad_norm: 4.4541 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3747 loss: 2.3747 2022/08/16 16:15:01 - mmengine - INFO - Epoch(train) [190][300/3757] lr: 1.5970e-02 eta: 1 day, 4:06:05 time: 0.4095 data_time: 0.0169 memory: 13431 grad_norm: 4.5367 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9025 loss: 1.9025 2022/08/16 16:15:42 - mmengine - INFO - Epoch(train) [190][400/3757] lr: 1.5970e-02 eta: 1 day, 4:05:25 time: 0.4060 data_time: 0.0160 memory: 13431 grad_norm: 4.3300 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1982 loss: 2.1982 2022/08/16 16:16:23 - mmengine - INFO - Epoch(train) [190][500/3757] lr: 1.5970e-02 eta: 1 day, 4:04:45 time: 0.4096 data_time: 0.0160 memory: 13431 grad_norm: 4.3738 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1008 loss: 2.1008 2022/08/16 16:17:04 - mmengine - INFO - Epoch(train) [190][600/3757] lr: 1.5970e-02 eta: 1 day, 4:04:05 time: 0.4091 data_time: 0.0166 memory: 13431 grad_norm: 4.4558 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2509 loss: 2.2509 2022/08/16 16:17:46 - mmengine - INFO - Epoch(train) [190][700/3757] lr: 1.5970e-02 eta: 1 day, 4:03:25 time: 0.4138 data_time: 0.0153 memory: 13431 grad_norm: 4.3685 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9548 loss: 1.9548 2022/08/16 16:18:27 - mmengine - INFO - Epoch(train) [190][800/3757] lr: 1.5970e-02 eta: 1 day, 4:02:45 time: 0.4076 data_time: 0.0154 memory: 13431 grad_norm: 4.4690 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9976 loss: 1.9976 2022/08/16 16:19:08 - mmengine - INFO - Epoch(train) [190][900/3757] lr: 1.5970e-02 eta: 1 day, 4:02:05 time: 0.4084 data_time: 0.0166 memory: 13431 grad_norm: 4.4356 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0022 loss: 2.0022 2022/08/16 16:19:19 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 16:19:49 - mmengine - INFO - Epoch(train) [190][1000/3757] lr: 1.5970e-02 eta: 1 day, 4:01:25 time: 0.4051 data_time: 0.0152 memory: 13431 grad_norm: 4.5371 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4504 loss: 2.4504 2022/08/16 16:20:30 - mmengine - INFO - Epoch(train) [190][1100/3757] lr: 1.5970e-02 eta: 1 day, 4:00:45 time: 0.4068 data_time: 0.0146 memory: 13431 grad_norm: 4.5679 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1275 loss: 2.1275 2022/08/16 16:21:11 - mmengine - INFO - Epoch(train) [190][1200/3757] lr: 1.5970e-02 eta: 1 day, 4:00:05 time: 0.4072 data_time: 0.0157 memory: 13431 grad_norm: 4.4265 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7988 loss: 1.7988 2022/08/16 16:21:52 - mmengine - INFO - Epoch(train) [190][1300/3757] lr: 1.5970e-02 eta: 1 day, 3:59:25 time: 0.4062 data_time: 0.0154 memory: 13431 grad_norm: 4.4551 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1392 loss: 2.1392 2022/08/16 16:22:34 - mmengine - INFO - Epoch(train) [190][1400/3757] lr: 1.5970e-02 eta: 1 day, 3:58:45 time: 0.4192 data_time: 0.0160 memory: 13431 grad_norm: 4.4185 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9939 loss: 1.9939 2022/08/16 16:23:15 - mmengine - INFO - Epoch(train) [190][1500/3757] lr: 1.5970e-02 eta: 1 day, 3:58:05 time: 0.4050 data_time: 0.0159 memory: 13431 grad_norm: 4.4493 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2266 loss: 2.2266 2022/08/16 16:23:56 - mmengine - INFO - Epoch(train) [190][1600/3757] lr: 1.5970e-02 eta: 1 day, 3:57:25 time: 0.4058 data_time: 0.0153 memory: 13431 grad_norm: 4.5544 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1290 loss: 2.1290 2022/08/16 16:24:37 - mmengine - INFO - Epoch(train) [190][1700/3757] lr: 1.5970e-02 eta: 1 day, 3:56:45 time: 0.4068 data_time: 0.0168 memory: 13431 grad_norm: 4.5399 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0967 loss: 2.0967 2022/08/16 16:25:18 - mmengine - INFO - Epoch(train) [190][1800/3757] lr: 1.5970e-02 eta: 1 day, 3:56:05 time: 0.4093 data_time: 0.0170 memory: 13431 grad_norm: 4.4324 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0331 loss: 2.0331 2022/08/16 16:25:59 - mmengine - INFO - Epoch(train) [190][1900/3757] lr: 1.5970e-02 eta: 1 day, 3:55:25 time: 0.4091 data_time: 0.0155 memory: 13431 grad_norm: 4.4499 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8583 loss: 1.8583 2022/08/16 16:26:10 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 16:26:40 - mmengine - INFO - Epoch(train) [190][2000/3757] lr: 1.5970e-02 eta: 1 day, 3:54:45 time: 0.4064 data_time: 0.0149 memory: 13431 grad_norm: 4.3239 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0732 loss: 2.0732 2022/08/16 16:27:21 - mmengine - INFO - Epoch(train) [190][2100/3757] lr: 1.5970e-02 eta: 1 day, 3:54:05 time: 0.4161 data_time: 0.0148 memory: 13431 grad_norm: 4.3876 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0164 loss: 2.0164 2022/08/16 16:28:02 - mmengine - INFO - Epoch(train) [190][2200/3757] lr: 1.5970e-02 eta: 1 day, 3:53:25 time: 0.4053 data_time: 0.0149 memory: 13431 grad_norm: 4.4160 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0506 loss: 2.0506 2022/08/16 16:28:43 - mmengine - INFO - Epoch(train) [190][2300/3757] lr: 1.5970e-02 eta: 1 day, 3:52:45 time: 0.4044 data_time: 0.0150 memory: 13431 grad_norm: 4.4282 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2592 loss: 2.2592 2022/08/16 16:29:25 - mmengine - INFO - Epoch(train) [190][2400/3757] lr: 1.5970e-02 eta: 1 day, 3:52:05 time: 0.4076 data_time: 0.0161 memory: 13431 grad_norm: 4.5688 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2997 loss: 2.2997 2022/08/16 16:30:06 - mmengine - INFO - Epoch(train) [190][2500/3757] lr: 1.5970e-02 eta: 1 day, 3:51:25 time: 0.4093 data_time: 0.0155 memory: 13431 grad_norm: 4.7120 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0318 loss: 2.0318 2022/08/16 16:30:47 - mmengine - INFO - Epoch(train) [190][2600/3757] lr: 1.5970e-02 eta: 1 day, 3:50:45 time: 0.4074 data_time: 0.0152 memory: 13431 grad_norm: 4.5326 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8075 loss: 1.8075 2022/08/16 16:31:28 - mmengine - INFO - Epoch(train) [190][2700/3757] lr: 1.5970e-02 eta: 1 day, 3:50:05 time: 0.4050 data_time: 0.0150 memory: 13431 grad_norm: 4.3710 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9968 loss: 1.9968 2022/08/16 16:32:09 - mmengine - INFO - Epoch(train) [190][2800/3757] lr: 1.5970e-02 eta: 1 day, 3:49:25 time: 0.4116 data_time: 0.0179 memory: 13431 grad_norm: 4.2522 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8381 loss: 1.8381 2022/08/16 16:32:50 - mmengine - INFO - Epoch(train) [190][2900/3757] lr: 1.5970e-02 eta: 1 day, 3:48:45 time: 0.4126 data_time: 0.0153 memory: 13431 grad_norm: 4.4331 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0542 loss: 2.0542 2022/08/16 16:33:01 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 16:33:31 - mmengine - INFO - Epoch(train) [190][3000/3757] lr: 1.5970e-02 eta: 1 day, 3:48:05 time: 0.4096 data_time: 0.0166 memory: 13431 grad_norm: 4.4078 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8566 loss: 1.8566 2022/08/16 16:34:12 - mmengine - INFO - Epoch(train) [190][3100/3757] lr: 1.5970e-02 eta: 1 day, 3:47:25 time: 0.4116 data_time: 0.0149 memory: 13431 grad_norm: 4.4092 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0538 loss: 2.0538 2022/08/16 16:34:54 - mmengine - INFO - Epoch(train) [190][3200/3757] lr: 1.5970e-02 eta: 1 day, 3:46:45 time: 0.4043 data_time: 0.0148 memory: 13431 grad_norm: 4.4576 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9673 loss: 1.9673 2022/08/16 16:35:35 - mmengine - INFO - Epoch(train) [190][3300/3757] lr: 1.5970e-02 eta: 1 day, 3:46:05 time: 0.4091 data_time: 0.0162 memory: 13431 grad_norm: 4.6188 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9352 loss: 1.9352 2022/08/16 16:36:16 - mmengine - INFO - Epoch(train) [190][3400/3757] lr: 1.5970e-02 eta: 1 day, 3:45:25 time: 0.4071 data_time: 0.0158 memory: 13431 grad_norm: 4.3965 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5473 loss: 2.5473 2022/08/16 16:36:57 - mmengine - INFO - Epoch(train) [190][3500/3757] lr: 1.5970e-02 eta: 1 day, 3:44:45 time: 0.4088 data_time: 0.0150 memory: 13431 grad_norm: 4.2976 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.0497 loss: 2.0497 2022/08/16 16:37:38 - mmengine - INFO - Epoch(train) [190][3600/3757] lr: 1.5970e-02 eta: 1 day, 3:44:05 time: 0.4068 data_time: 0.0152 memory: 13431 grad_norm: 4.4017 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1331 loss: 2.1331 2022/08/16 16:38:19 - mmengine - INFO - Epoch(train) [190][3700/3757] lr: 1.5970e-02 eta: 1 day, 3:43:25 time: 0.4068 data_time: 0.0145 memory: 13431 grad_norm: 4.6024 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2987 loss: 2.2987 2022/08/16 16:38:42 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 16:38:42 - mmengine - INFO - Epoch(train) [190][3757/3757] lr: 1.5970e-02 eta: 1 day, 3:43:09 time: 0.3923 data_time: 0.0134 memory: 13431 grad_norm: 4.4788 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 1.9203 loss: 1.9203 2022/08/16 16:39:05 - mmengine - INFO - Epoch(val) [190][100/310] eta: 0:00:45 time: 0.2171 data_time: 0.0889 memory: 1974 2022/08/16 16:39:26 - mmengine - INFO - Epoch(val) [190][200/310] eta: 0:00:21 time: 0.1952 data_time: 0.0665 memory: 1974 2022/08/16 16:39:47 - mmengine - INFO - Epoch(val) [190][300/310] eta: 0:00:02 time: 0.2253 data_time: 0.0930 memory: 1974 2022/08/16 16:39:51 - mmengine - INFO - Epoch(val) [190][310/310] acc/top1: 0.5966 acc/top5: 0.8263 acc/mean1: 0.5965 2022/08/16 16:39:51 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_186.pth is removed 2022/08/16 16:39:55 - mmengine - INFO - The best checkpoint with 0.5966 acc/top1 at 191 epoch is saved to best_acc/top1_epoch_191.pth. 2022/08/16 16:40:37 - mmengine - INFO - Epoch(train) [191][100/3757] lr: 1.5523e-02 eta: 1 day, 3:42:20 time: 0.4109 data_time: 0.0151 memory: 13431 grad_norm: 4.4891 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8979 loss: 1.8979 2022/08/16 16:41:05 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 16:41:18 - mmengine - INFO - Epoch(train) [191][200/3757] lr: 1.5523e-02 eta: 1 day, 3:41:40 time: 0.4062 data_time: 0.0156 memory: 13431 grad_norm: 4.4073 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8582 loss: 1.8582 2022/08/16 16:41:59 - mmengine - INFO - Epoch(train) [191][300/3757] lr: 1.5523e-02 eta: 1 day, 3:41:00 time: 0.4047 data_time: 0.0150 memory: 13431 grad_norm: 4.3857 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7177 loss: 1.7177 2022/08/16 16:42:40 - mmengine - INFO - Epoch(train) [191][400/3757] lr: 1.5523e-02 eta: 1 day, 3:40:20 time: 0.4143 data_time: 0.0161 memory: 13431 grad_norm: 4.5858 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8600 loss: 1.8600 2022/08/16 16:43:21 - mmengine - INFO - Epoch(train) [191][500/3757] lr: 1.5523e-02 eta: 1 day, 3:39:40 time: 0.4044 data_time: 0.0147 memory: 13431 grad_norm: 4.5425 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1038 loss: 2.1038 2022/08/16 16:44:02 - mmengine - INFO - Epoch(train) [191][600/3757] lr: 1.5523e-02 eta: 1 day, 3:39:00 time: 0.4071 data_time: 0.0158 memory: 13431 grad_norm: 4.5312 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0472 loss: 2.0472 2022/08/16 16:44:43 - mmengine - INFO - Epoch(train) [191][700/3757] lr: 1.5523e-02 eta: 1 day, 3:38:20 time: 0.4060 data_time: 0.0159 memory: 13431 grad_norm: 4.4136 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0619 loss: 2.0619 2022/08/16 16:45:25 - mmengine - INFO - Epoch(train) [191][800/3757] lr: 1.5523e-02 eta: 1 day, 3:37:41 time: 0.4162 data_time: 0.0150 memory: 13431 grad_norm: 4.4224 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7958 loss: 1.7958 2022/08/16 16:46:06 - mmengine - INFO - Epoch(train) [191][900/3757] lr: 1.5523e-02 eta: 1 day, 3:37:01 time: 0.4048 data_time: 0.0155 memory: 13431 grad_norm: 4.4301 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0520 loss: 2.0520 2022/08/16 16:46:47 - mmengine - INFO - Epoch(train) [191][1000/3757] lr: 1.5523e-02 eta: 1 day, 3:36:21 time: 0.4107 data_time: 0.0162 memory: 13431 grad_norm: 4.5395 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8299 loss: 1.8299 2022/08/16 16:47:29 - mmengine - INFO - Epoch(train) [191][1100/3757] lr: 1.5523e-02 eta: 1 day, 3:35:41 time: 0.4146 data_time: 0.0164 memory: 13431 grad_norm: 4.3720 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7355 loss: 1.7355 2022/08/16 16:47:57 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 16:48:10 - mmengine - INFO - Epoch(train) [191][1200/3757] lr: 1.5523e-02 eta: 1 day, 3:35:01 time: 0.4076 data_time: 0.0161 memory: 13431 grad_norm: 4.4536 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1174 loss: 2.1174 2022/08/16 16:48:51 - mmengine - INFO - Epoch(train) [191][1300/3757] lr: 1.5523e-02 eta: 1 day, 3:34:21 time: 0.4067 data_time: 0.0158 memory: 13431 grad_norm: 4.5515 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1834 loss: 2.1834 2022/08/16 16:49:32 - mmengine - INFO - Epoch(train) [191][1400/3757] lr: 1.5523e-02 eta: 1 day, 3:33:41 time: 0.4111 data_time: 0.0171 memory: 13431 grad_norm: 4.3599 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8906 loss: 1.8906 2022/08/16 16:50:13 - mmengine - INFO - Epoch(train) [191][1500/3757] lr: 1.5523e-02 eta: 1 day, 3:33:01 time: 0.4128 data_time: 0.0155 memory: 13431 grad_norm: 4.3583 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1025 loss: 2.1025 2022/08/16 16:50:54 - mmengine - INFO - Epoch(train) [191][1600/3757] lr: 1.5523e-02 eta: 1 day, 3:32:21 time: 0.4074 data_time: 0.0153 memory: 13431 grad_norm: 4.5059 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1741 loss: 2.1741 2022/08/16 16:51:35 - mmengine - INFO - Epoch(train) [191][1700/3757] lr: 1.5523e-02 eta: 1 day, 3:31:41 time: 0.4116 data_time: 0.0157 memory: 13431 grad_norm: 4.5742 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4229 loss: 2.4229 2022/08/16 16:52:16 - mmengine - INFO - Epoch(train) [191][1800/3757] lr: 1.5523e-02 eta: 1 day, 3:31:01 time: 0.4097 data_time: 0.0154 memory: 13431 grad_norm: 4.6174 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2618 loss: 2.2618 2022/08/16 16:52:58 - mmengine - INFO - Epoch(train) [191][1900/3757] lr: 1.5523e-02 eta: 1 day, 3:30:21 time: 0.4068 data_time: 0.0152 memory: 13431 grad_norm: 4.5705 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7631 loss: 1.7631 2022/08/16 16:53:39 - mmengine - INFO - Epoch(train) [191][2000/3757] lr: 1.5523e-02 eta: 1 day, 3:29:41 time: 0.4075 data_time: 0.0157 memory: 13431 grad_norm: 4.5097 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9168 loss: 1.9168 2022/08/16 16:54:20 - mmengine - INFO - Epoch(train) [191][2100/3757] lr: 1.5523e-02 eta: 1 day, 3:29:01 time: 0.4115 data_time: 0.0165 memory: 13431 grad_norm: 4.6133 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0787 loss: 2.0787 2022/08/16 16:54:48 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 16:55:01 - mmengine - INFO - Epoch(train) [191][2200/3757] lr: 1.5523e-02 eta: 1 day, 3:28:21 time: 0.4238 data_time: 0.0161 memory: 13431 grad_norm: 4.5499 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2715 loss: 2.2715 2022/08/16 16:55:42 - mmengine - INFO - Epoch(train) [191][2300/3757] lr: 1.5523e-02 eta: 1 day, 3:27:41 time: 0.4104 data_time: 0.0162 memory: 13431 grad_norm: 4.5446 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1293 loss: 2.1293 2022/08/16 16:56:23 - mmengine - INFO - Epoch(train) [191][2400/3757] lr: 1.5523e-02 eta: 1 day, 3:27:01 time: 0.4067 data_time: 0.0148 memory: 13431 grad_norm: 4.5898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1295 loss: 2.1295 2022/08/16 16:57:05 - mmengine - INFO - Epoch(train) [191][2500/3757] lr: 1.5523e-02 eta: 1 day, 3:26:21 time: 0.4120 data_time: 0.0148 memory: 13431 grad_norm: 4.5687 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0513 loss: 2.0513 2022/08/16 16:57:46 - mmengine - INFO - Epoch(train) [191][2600/3757] lr: 1.5523e-02 eta: 1 day, 3:25:41 time: 0.4069 data_time: 0.0156 memory: 13431 grad_norm: 4.5197 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1960 loss: 2.1960 2022/08/16 16:58:27 - mmengine - INFO - Epoch(train) [191][2700/3757] lr: 1.5523e-02 eta: 1 day, 3:25:01 time: 0.4110 data_time: 0.0158 memory: 13431 grad_norm: 4.5372 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1672 loss: 2.1672 2022/08/16 16:59:08 - mmengine - INFO - Epoch(train) [191][2800/3757] lr: 1.5523e-02 eta: 1 day, 3:24:21 time: 0.4095 data_time: 0.0169 memory: 13431 grad_norm: 4.3839 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0570 loss: 2.0570 2022/08/16 16:59:49 - mmengine - INFO - Epoch(train) [191][2900/3757] lr: 1.5523e-02 eta: 1 day, 3:23:41 time: 0.4138 data_time: 0.0155 memory: 13431 grad_norm: 4.4449 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0757 loss: 2.0757 2022/08/16 17:00:30 - mmengine - INFO - Epoch(train) [191][3000/3757] lr: 1.5523e-02 eta: 1 day, 3:23:01 time: 0.4052 data_time: 0.0153 memory: 13431 grad_norm: 4.5430 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7665 loss: 1.7665 2022/08/16 17:01:11 - mmengine - INFO - Epoch(train) [191][3100/3757] lr: 1.5523e-02 eta: 1 day, 3:22:21 time: 0.4073 data_time: 0.0154 memory: 13431 grad_norm: 4.4713 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3265 loss: 2.3265 2022/08/16 17:01:40 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 17:01:53 - mmengine - INFO - Epoch(train) [191][3200/3757] lr: 1.5523e-02 eta: 1 day, 3:21:41 time: 0.4116 data_time: 0.0162 memory: 13431 grad_norm: 4.5440 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0008 loss: 2.0008 2022/08/16 17:02:34 - mmengine - INFO - Epoch(train) [191][3300/3757] lr: 1.5523e-02 eta: 1 day, 3:21:01 time: 0.4117 data_time: 0.0183 memory: 13431 grad_norm: 4.6211 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3316 loss: 2.3316 2022/08/16 17:03:15 - mmengine - INFO - Epoch(train) [191][3400/3757] lr: 1.5523e-02 eta: 1 day, 3:20:21 time: 0.4043 data_time: 0.0147 memory: 13431 grad_norm: 4.4787 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9578 loss: 1.9578 2022/08/16 17:03:56 - mmengine - INFO - Epoch(train) [191][3500/3757] lr: 1.5523e-02 eta: 1 day, 3:19:41 time: 0.4065 data_time: 0.0154 memory: 13431 grad_norm: 4.6226 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4756 loss: 2.4756 2022/08/16 17:04:37 - mmengine - INFO - Epoch(train) [191][3600/3757] lr: 1.5523e-02 eta: 1 day, 3:19:01 time: 0.4139 data_time: 0.0150 memory: 13431 grad_norm: 4.6149 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8589 loss: 1.8589 2022/08/16 17:05:19 - mmengine - INFO - Epoch(train) [191][3700/3757] lr: 1.5523e-02 eta: 1 day, 3:18:21 time: 0.4107 data_time: 0.0144 memory: 13431 grad_norm: 4.7024 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7076 loss: 1.7076 2022/08/16 17:05:42 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 17:05:42 - mmengine - INFO - Epoch(train) [191][3757/3757] lr: 1.5523e-02 eta: 1 day, 3:18:05 time: 0.3987 data_time: 0.0151 memory: 13431 grad_norm: 4.5210 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.0451 loss: 2.0451 2022/08/16 17:06:26 - mmengine - INFO - Epoch(train) [192][100/3757] lr: 1.5081e-02 eta: 1 day, 3:17:17 time: 0.4132 data_time: 0.0150 memory: 13431 grad_norm: 4.5492 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9212 loss: 1.9212 2022/08/16 17:07:07 - mmengine - INFO - Epoch(train) [192][200/3757] lr: 1.5081e-02 eta: 1 day, 3:16:37 time: 0.4079 data_time: 0.0150 memory: 13431 grad_norm: 4.6905 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3506 loss: 2.3506 2022/08/16 17:07:48 - mmengine - INFO - Epoch(train) [192][300/3757] lr: 1.5081e-02 eta: 1 day, 3:15:57 time: 0.4045 data_time: 0.0152 memory: 13431 grad_norm: 4.5873 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9467 loss: 1.9467 2022/08/16 17:08:29 - mmengine - INFO - Epoch(train) [192][400/3757] lr: 1.5081e-02 eta: 1 day, 3:15:17 time: 0.4083 data_time: 0.0151 memory: 13431 grad_norm: 4.4373 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2392 loss: 2.2392 2022/08/16 17:08:35 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 17:09:10 - mmengine - INFO - Epoch(train) [192][500/3757] lr: 1.5081e-02 eta: 1 day, 3:14:37 time: 0.4108 data_time: 0.0152 memory: 13431 grad_norm: 4.5228 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1020 loss: 2.1020 2022/08/16 17:09:52 - mmengine - INFO - Epoch(train) [192][600/3757] lr: 1.5081e-02 eta: 1 day, 3:13:57 time: 0.4087 data_time: 0.0154 memory: 13431 grad_norm: 4.3964 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1193 loss: 2.1193 2022/08/16 17:10:33 - mmengine - INFO - Epoch(train) [192][700/3757] lr: 1.5081e-02 eta: 1 day, 3:13:17 time: 0.4081 data_time: 0.0150 memory: 13431 grad_norm: 4.5208 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0836 loss: 2.0836 2022/08/16 17:11:14 - mmengine - INFO - Epoch(train) [192][800/3757] lr: 1.5081e-02 eta: 1 day, 3:12:37 time: 0.4153 data_time: 0.0165 memory: 13431 grad_norm: 4.6530 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1362 loss: 2.1362 2022/08/16 17:11:55 - mmengine - INFO - Epoch(train) [192][900/3757] lr: 1.5081e-02 eta: 1 day, 3:11:57 time: 0.4063 data_time: 0.0146 memory: 13431 grad_norm: 4.4815 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9769 loss: 1.9769 2022/08/16 17:12:36 - mmengine - INFO - Epoch(train) [192][1000/3757] lr: 1.5081e-02 eta: 1 day, 3:11:17 time: 0.4061 data_time: 0.0153 memory: 13431 grad_norm: 4.4194 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9009 loss: 1.9009 2022/08/16 17:13:17 - mmengine - INFO - Epoch(train) [192][1100/3757] lr: 1.5081e-02 eta: 1 day, 3:10:37 time: 0.4043 data_time: 0.0151 memory: 13431 grad_norm: 4.4742 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7721 loss: 1.7721 2022/08/16 17:13:58 - mmengine - INFO - Epoch(train) [192][1200/3757] lr: 1.5081e-02 eta: 1 day, 3:09:57 time: 0.4110 data_time: 0.0158 memory: 13431 grad_norm: 4.4543 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1176 loss: 2.1176 2022/08/16 17:14:40 - mmengine - INFO - Epoch(train) [192][1300/3757] lr: 1.5081e-02 eta: 1 day, 3:09:17 time: 0.4093 data_time: 0.0178 memory: 13431 grad_norm: 4.4912 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2054 loss: 2.2054 2022/08/16 17:15:21 - mmengine - INFO - Epoch(train) [192][1400/3757] lr: 1.5081e-02 eta: 1 day, 3:08:37 time: 0.4092 data_time: 0.0163 memory: 13431 grad_norm: 4.6304 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1270 loss: 2.1270 2022/08/16 17:15:26 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 17:16:02 - mmengine - INFO - Epoch(train) [192][1500/3757] lr: 1.5081e-02 eta: 1 day, 3:07:57 time: 0.4116 data_time: 0.0160 memory: 13431 grad_norm: 4.5531 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9273 loss: 1.9273 2022/08/16 17:16:43 - mmengine - INFO - Epoch(train) [192][1600/3757] lr: 1.5081e-02 eta: 1 day, 3:07:17 time: 0.4087 data_time: 0.0155 memory: 13431 grad_norm: 4.5901 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9872 loss: 1.9872 2022/08/16 17:17:24 - mmengine - INFO - Epoch(train) [192][1700/3757] lr: 1.5081e-02 eta: 1 day, 3:06:37 time: 0.4161 data_time: 0.0169 memory: 13431 grad_norm: 4.5875 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1741 loss: 2.1741 2022/08/16 17:18:06 - mmengine - INFO - Epoch(train) [192][1800/3757] lr: 1.5081e-02 eta: 1 day, 3:05:57 time: 0.4109 data_time: 0.0153 memory: 13431 grad_norm: 4.5598 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7644 loss: 1.7644 2022/08/16 17:18:47 - mmengine - INFO - Epoch(train) [192][1900/3757] lr: 1.5081e-02 eta: 1 day, 3:05:17 time: 0.4079 data_time: 0.0149 memory: 13431 grad_norm: 4.7388 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1271 loss: 2.1271 2022/08/16 17:19:28 - mmengine - INFO - Epoch(train) [192][2000/3757] lr: 1.5081e-02 eta: 1 day, 3:04:37 time: 0.4067 data_time: 0.0157 memory: 13431 grad_norm: 4.7018 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0879 loss: 2.0879 2022/08/16 17:20:09 - mmengine - INFO - Epoch(train) [192][2100/3757] lr: 1.5081e-02 eta: 1 day, 3:03:57 time: 0.4141 data_time: 0.0155 memory: 13431 grad_norm: 4.5383 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0066 loss: 2.0066 2022/08/16 17:20:51 - mmengine - INFO - Epoch(train) [192][2200/3757] lr: 1.5081e-02 eta: 1 day, 3:03:17 time: 0.4179 data_time: 0.0162 memory: 13431 grad_norm: 4.6381 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3388 loss: 2.3388 2022/08/16 17:21:33 - mmengine - INFO - Epoch(train) [192][2300/3757] lr: 1.5081e-02 eta: 1 day, 3:02:37 time: 0.4242 data_time: 0.0167 memory: 13431 grad_norm: 4.6019 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9873 loss: 1.9873 2022/08/16 17:22:14 - mmengine - INFO - Epoch(train) [192][2400/3757] lr: 1.5081e-02 eta: 1 day, 3:01:57 time: 0.4129 data_time: 0.0168 memory: 13431 grad_norm: 4.5214 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8161 loss: 1.8161 2022/08/16 17:22:19 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 17:22:55 - mmengine - INFO - Epoch(train) [192][2500/3757] lr: 1.5081e-02 eta: 1 day, 3:01:17 time: 0.4076 data_time: 0.0153 memory: 13431 grad_norm: 4.5102 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2165 loss: 2.2165 2022/08/16 17:23:37 - mmengine - INFO - Epoch(train) [192][2600/3757] lr: 1.5081e-02 eta: 1 day, 3:00:37 time: 0.4089 data_time: 0.0161 memory: 13431 grad_norm: 4.6259 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8727 loss: 1.8727 2022/08/16 17:24:18 - mmengine - INFO - Epoch(train) [192][2700/3757] lr: 1.5081e-02 eta: 1 day, 2:59:57 time: 0.4041 data_time: 0.0150 memory: 13431 grad_norm: 4.4542 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8746 loss: 1.8746 2022/08/16 17:25:00 - mmengine - INFO - Epoch(train) [192][2800/3757] lr: 1.5081e-02 eta: 1 day, 2:59:18 time: 0.4136 data_time: 0.0171 memory: 13431 grad_norm: 4.4750 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9238 loss: 1.9238 2022/08/16 17:25:41 - mmengine - INFO - Epoch(train) [192][2900/3757] lr: 1.5081e-02 eta: 1 day, 2:58:38 time: 0.4140 data_time: 0.0167 memory: 13431 grad_norm: 4.5785 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8059 loss: 1.8059 2022/08/16 17:26:22 - mmengine - INFO - Epoch(train) [192][3000/3757] lr: 1.5081e-02 eta: 1 day, 2:57:58 time: 0.4064 data_time: 0.0150 memory: 13431 grad_norm: 4.4800 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0338 loss: 2.0338 2022/08/16 17:27:04 - mmengine - INFO - Epoch(train) [192][3100/3757] lr: 1.5081e-02 eta: 1 day, 2:57:18 time: 0.4188 data_time: 0.0164 memory: 13431 grad_norm: 4.4445 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2767 loss: 2.2767 2022/08/16 17:27:45 - mmengine - INFO - Epoch(train) [192][3200/3757] lr: 1.5081e-02 eta: 1 day, 2:56:38 time: 0.4120 data_time: 0.0164 memory: 13431 grad_norm: 4.5469 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0591 loss: 2.0591 2022/08/16 17:28:26 - mmengine - INFO - Epoch(train) [192][3300/3757] lr: 1.5081e-02 eta: 1 day, 2:55:58 time: 0.4191 data_time: 0.0166 memory: 13431 grad_norm: 4.6454 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8459 loss: 1.8459 2022/08/16 17:29:08 - mmengine - INFO - Epoch(train) [192][3400/3757] lr: 1.5081e-02 eta: 1 day, 2:55:18 time: 0.4057 data_time: 0.0152 memory: 13431 grad_norm: 4.3916 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7885 loss: 1.7885 2022/08/16 17:29:13 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 17:29:50 - mmengine - INFO - Epoch(train) [192][3500/3757] lr: 1.5081e-02 eta: 1 day, 2:54:38 time: 0.4118 data_time: 0.0158 memory: 13431 grad_norm: 4.4569 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2591 loss: 2.2591 2022/08/16 17:30:31 - mmengine - INFO - Epoch(train) [192][3600/3757] lr: 1.5081e-02 eta: 1 day, 2:53:58 time: 0.4218 data_time: 0.0165 memory: 13431 grad_norm: 4.6577 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0064 loss: 2.0064 2022/08/16 17:31:13 - mmengine - INFO - Epoch(train) [192][3700/3757] lr: 1.5081e-02 eta: 1 day, 2:53:18 time: 0.4077 data_time: 0.0155 memory: 13431 grad_norm: 4.4902 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2154 loss: 2.2154 2022/08/16 17:31:36 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 17:31:36 - mmengine - INFO - Epoch(train) [192][3757/3757] lr: 1.5081e-02 eta: 1 day, 2:53:03 time: 0.4050 data_time: 0.0141 memory: 13431 grad_norm: 4.7202 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 2.1778 loss: 2.1778 2022/08/16 17:31:36 - mmengine - INFO - Saving checkpoint at 192 epochs 2022/08/16 17:32:25 - mmengine - INFO - Epoch(train) [193][100/3757] lr: 1.4645e-02 eta: 1 day, 2:52:14 time: 0.4065 data_time: 0.0161 memory: 13431 grad_norm: 4.6292 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9981 loss: 1.9981 2022/08/16 17:33:06 - mmengine - INFO - Epoch(train) [193][200/3757] lr: 1.4645e-02 eta: 1 day, 2:51:34 time: 0.4067 data_time: 0.0156 memory: 13431 grad_norm: 4.5555 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0392 loss: 2.0392 2022/08/16 17:33:48 - mmengine - INFO - Epoch(train) [193][300/3757] lr: 1.4645e-02 eta: 1 day, 2:50:54 time: 0.4116 data_time: 0.0160 memory: 13431 grad_norm: 4.6808 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1932 loss: 2.1932 2022/08/16 17:34:29 - mmengine - INFO - Epoch(train) [193][400/3757] lr: 1.4645e-02 eta: 1 day, 2:50:14 time: 0.4060 data_time: 0.0186 memory: 13431 grad_norm: 4.7078 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8344 loss: 1.8344 2022/08/16 17:35:10 - mmengine - INFO - Epoch(train) [193][500/3757] lr: 1.4645e-02 eta: 1 day, 2:49:34 time: 0.4108 data_time: 0.0169 memory: 13431 grad_norm: 4.4618 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2023 loss: 2.2023 2022/08/16 17:35:51 - mmengine - INFO - Epoch(train) [193][600/3757] lr: 1.4645e-02 eta: 1 day, 2:48:54 time: 0.4108 data_time: 0.0162 memory: 13431 grad_norm: 4.7226 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9263 loss: 1.9263 2022/08/16 17:36:15 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 17:36:33 - mmengine - INFO - Epoch(train) [193][700/3757] lr: 1.4645e-02 eta: 1 day, 2:48:14 time: 0.4115 data_time: 0.0155 memory: 13431 grad_norm: 4.5358 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1322 loss: 2.1322 2022/08/16 17:37:14 - mmengine - INFO - Epoch(train) [193][800/3757] lr: 1.4645e-02 eta: 1 day, 2:47:34 time: 0.4266 data_time: 0.0171 memory: 13431 grad_norm: 4.5568 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1790 loss: 2.1790 2022/08/16 17:37:55 - mmengine - INFO - Epoch(train) [193][900/3757] lr: 1.4645e-02 eta: 1 day, 2:46:54 time: 0.4104 data_time: 0.0174 memory: 13431 grad_norm: 4.5235 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2184 loss: 2.2184 2022/08/16 17:38:37 - mmengine - INFO - Epoch(train) [193][1000/3757] lr: 1.4645e-02 eta: 1 day, 2:46:14 time: 0.4123 data_time: 0.0164 memory: 13431 grad_norm: 4.5209 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7690 loss: 1.7690 2022/08/16 17:39:18 - mmengine - INFO - Epoch(train) [193][1100/3757] lr: 1.4645e-02 eta: 1 day, 2:45:34 time: 0.4069 data_time: 0.0158 memory: 13431 grad_norm: 4.4841 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0053 loss: 2.0053 2022/08/16 17:39:59 - mmengine - INFO - Epoch(train) [193][1200/3757] lr: 1.4645e-02 eta: 1 day, 2:44:54 time: 0.4142 data_time: 0.0157 memory: 13431 grad_norm: 4.5882 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9299 loss: 1.9299 2022/08/16 17:40:41 - mmengine - INFO - Epoch(train) [193][1300/3757] lr: 1.4645e-02 eta: 1 day, 2:44:14 time: 0.4086 data_time: 0.0162 memory: 13431 grad_norm: 4.4882 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0873 loss: 2.0873 2022/08/16 17:41:22 - mmengine - INFO - Epoch(train) [193][1400/3757] lr: 1.4645e-02 eta: 1 day, 2:43:34 time: 0.4203 data_time: 0.0165 memory: 13431 grad_norm: 4.5571 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2544 loss: 2.2544 2022/08/16 17:42:03 - mmengine - INFO - Epoch(train) [193][1500/3757] lr: 1.4645e-02 eta: 1 day, 2:42:54 time: 0.4080 data_time: 0.0164 memory: 13431 grad_norm: 4.5333 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0214 loss: 2.0214 2022/08/16 17:42:44 - mmengine - INFO - Epoch(train) [193][1600/3757] lr: 1.4645e-02 eta: 1 day, 2:42:14 time: 0.4074 data_time: 0.0157 memory: 13431 grad_norm: 4.5158 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1852 loss: 2.1852 2022/08/16 17:43:07 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 17:43:25 - mmengine - INFO - Epoch(train) [193][1700/3757] lr: 1.4645e-02 eta: 1 day, 2:41:34 time: 0.4131 data_time: 0.0169 memory: 13431 grad_norm: 4.5623 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4103 loss: 2.4103 2022/08/16 17:44:07 - mmengine - INFO - Epoch(train) [193][1800/3757] lr: 1.4645e-02 eta: 1 day, 2:40:54 time: 0.4103 data_time: 0.0156 memory: 13431 grad_norm: 4.7015 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2164 loss: 2.2164 2022/08/16 17:44:48 - mmengine - INFO - Epoch(train) [193][1900/3757] lr: 1.4645e-02 eta: 1 day, 2:40:14 time: 0.4198 data_time: 0.0173 memory: 13431 grad_norm: 4.7547 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9345 loss: 1.9345 2022/08/16 17:45:29 - mmengine - INFO - Epoch(train) [193][2000/3757] lr: 1.4645e-02 eta: 1 day, 2:39:34 time: 0.4093 data_time: 0.0176 memory: 13431 grad_norm: 4.6792 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9750 loss: 1.9750 2022/08/16 17:46:11 - mmengine - INFO - Epoch(train) [193][2100/3757] lr: 1.4645e-02 eta: 1 day, 2:38:54 time: 0.4088 data_time: 0.0154 memory: 13431 grad_norm: 4.5600 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3039 loss: 2.3039 2022/08/16 17:46:52 - mmengine - INFO - Epoch(train) [193][2200/3757] lr: 1.4645e-02 eta: 1 day, 2:38:14 time: 0.4078 data_time: 0.0150 memory: 13431 grad_norm: 4.7049 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7562 loss: 1.7562 2022/08/16 17:47:33 - mmengine - INFO - Epoch(train) [193][2300/3757] lr: 1.4645e-02 eta: 1 day, 2:37:34 time: 0.4174 data_time: 0.0164 memory: 13431 grad_norm: 4.7204 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0284 loss: 2.0284 2022/08/16 17:48:14 - mmengine - INFO - Epoch(train) [193][2400/3757] lr: 1.4645e-02 eta: 1 day, 2:36:54 time: 0.4067 data_time: 0.0151 memory: 13431 grad_norm: 4.6413 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4699 loss: 2.4699 2022/08/16 17:48:55 - mmengine - INFO - Epoch(train) [193][2500/3757] lr: 1.4645e-02 eta: 1 day, 2:36:14 time: 0.4087 data_time: 0.0151 memory: 13431 grad_norm: 4.5598 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1575 loss: 2.1575 2022/08/16 17:49:37 - mmengine - INFO - Epoch(train) [193][2600/3757] lr: 1.4645e-02 eta: 1 day, 2:35:34 time: 0.4150 data_time: 0.0157 memory: 13431 grad_norm: 4.6542 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7512 loss: 1.7512 2022/08/16 17:50:00 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 17:50:18 - mmengine - INFO - Epoch(train) [193][2700/3757] lr: 1.4645e-02 eta: 1 day, 2:34:55 time: 0.4145 data_time: 0.0167 memory: 13431 grad_norm: 4.6225 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0966 loss: 2.0966 2022/08/16 17:50:59 - mmengine - INFO - Epoch(train) [193][2800/3757] lr: 1.4645e-02 eta: 1 day, 2:34:15 time: 0.4167 data_time: 0.0168 memory: 13431 grad_norm: 4.8317 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1483 loss: 2.1483 2022/08/16 17:51:41 - mmengine - INFO - Epoch(train) [193][2900/3757] lr: 1.4645e-02 eta: 1 day, 2:33:35 time: 0.4047 data_time: 0.0157 memory: 13431 grad_norm: 4.6859 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9249 loss: 1.9249 2022/08/16 17:52:22 - mmengine - INFO - Epoch(train) [193][3000/3757] lr: 1.4645e-02 eta: 1 day, 2:32:55 time: 0.4074 data_time: 0.0167 memory: 13431 grad_norm: 4.5479 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1193 loss: 2.1193 2022/08/16 17:53:04 - mmengine - INFO - Epoch(train) [193][3100/3757] lr: 1.4645e-02 eta: 1 day, 2:32:15 time: 0.4174 data_time: 0.0158 memory: 13431 grad_norm: 4.4889 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1284 loss: 2.1284 2022/08/16 17:53:45 - mmengine - INFO - Epoch(train) [193][3200/3757] lr: 1.4645e-02 eta: 1 day, 2:31:35 time: 0.4093 data_time: 0.0161 memory: 13431 grad_norm: 4.5667 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1721 loss: 2.1721 2022/08/16 17:54:26 - mmengine - INFO - Epoch(train) [193][3300/3757] lr: 1.4645e-02 eta: 1 day, 2:30:55 time: 0.4118 data_time: 0.0156 memory: 13431 grad_norm: 4.5751 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0655 loss: 2.0655 2022/08/16 17:55:07 - mmengine - INFO - Epoch(train) [193][3400/3757] lr: 1.4645e-02 eta: 1 day, 2:30:15 time: 0.4132 data_time: 0.0182 memory: 13431 grad_norm: 4.5720 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1628 loss: 2.1628 2022/08/16 17:55:48 - mmengine - INFO - Epoch(train) [193][3500/3757] lr: 1.4645e-02 eta: 1 day, 2:29:35 time: 0.4100 data_time: 0.0152 memory: 13431 grad_norm: 4.5388 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8587 loss: 1.8587 2022/08/16 17:56:30 - mmengine - INFO - Epoch(train) [193][3600/3757] lr: 1.4645e-02 eta: 1 day, 2:28:55 time: 0.4054 data_time: 0.0154 memory: 13431 grad_norm: 4.7277 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.8851 loss: 1.8851 2022/08/16 17:56:53 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 17:57:11 - mmengine - INFO - Epoch(train) [193][3700/3757] lr: 1.4645e-02 eta: 1 day, 2:28:15 time: 0.4070 data_time: 0.0146 memory: 13431 grad_norm: 4.3524 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3632 loss: 2.3632 2022/08/16 17:57:34 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 17:57:34 - mmengine - INFO - Epoch(train) [193][3757/3757] lr: 1.4645e-02 eta: 1 day, 2:27:59 time: 0.3963 data_time: 0.0152 memory: 13431 grad_norm: 4.7366 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 2.0337 loss: 2.0337 2022/08/16 17:58:18 - mmengine - INFO - Epoch(train) [194][100/3757] lr: 1.4213e-02 eta: 1 day, 2:27:11 time: 0.4041 data_time: 0.0141 memory: 13431 grad_norm: 4.5005 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1701 loss: 2.1701 2022/08/16 17:58:59 - mmengine - INFO - Epoch(train) [194][200/3757] lr: 1.4213e-02 eta: 1 day, 2:26:31 time: 0.4068 data_time: 0.0153 memory: 13431 grad_norm: 4.8115 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1594 loss: 2.1594 2022/08/16 17:59:41 - mmengine - INFO - Epoch(train) [194][300/3757] lr: 1.4213e-02 eta: 1 day, 2:25:51 time: 0.4173 data_time: 0.0157 memory: 13431 grad_norm: 4.5901 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1932 loss: 2.1932 2022/08/16 18:00:27 - mmengine - INFO - Epoch(train) [194][400/3757] lr: 1.4213e-02 eta: 1 day, 2:25:12 time: 0.4155 data_time: 0.0177 memory: 13431 grad_norm: 4.4396 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6303 loss: 1.6303 2022/08/16 18:01:08 - mmengine - INFO - Epoch(train) [194][500/3757] lr: 1.4213e-02 eta: 1 day, 2:24:32 time: 0.4066 data_time: 0.0148 memory: 13431 grad_norm: 4.6480 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0183 loss: 2.0183 2022/08/16 18:01:49 - mmengine - INFO - Epoch(train) [194][600/3757] lr: 1.4213e-02 eta: 1 day, 2:23:52 time: 0.4097 data_time: 0.0156 memory: 13431 grad_norm: 4.6579 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0167 loss: 2.0167 2022/08/16 18:02:30 - mmengine - INFO - Epoch(train) [194][700/3757] lr: 1.4213e-02 eta: 1 day, 2:23:12 time: 0.4103 data_time: 0.0157 memory: 13431 grad_norm: 4.4825 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8851 loss: 1.8851 2022/08/16 18:03:12 - mmengine - INFO - Epoch(train) [194][800/3757] lr: 1.4213e-02 eta: 1 day, 2:22:32 time: 0.4083 data_time: 0.0162 memory: 13431 grad_norm: 4.6293 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1203 loss: 2.1203 2022/08/16 18:03:52 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 18:03:53 - mmengine - INFO - Epoch(train) [194][900/3757] lr: 1.4213e-02 eta: 1 day, 2:21:52 time: 0.4077 data_time: 0.0149 memory: 13431 grad_norm: 4.7005 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1637 loss: 2.1637 2022/08/16 18:04:34 - mmengine - INFO - Epoch(train) [194][1000/3757] lr: 1.4213e-02 eta: 1 day, 2:21:12 time: 0.4148 data_time: 0.0151 memory: 13431 grad_norm: 4.7524 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.9323 loss: 1.9323 2022/08/16 18:05:15 - mmengine - INFO - Epoch(train) [194][1100/3757] lr: 1.4213e-02 eta: 1 day, 2:20:32 time: 0.4087 data_time: 0.0157 memory: 13431 grad_norm: 4.6666 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9094 loss: 1.9094 2022/08/16 18:05:57 - mmengine - INFO - Epoch(train) [194][1200/3757] lr: 1.4213e-02 eta: 1 day, 2:19:52 time: 0.4069 data_time: 0.0162 memory: 13431 grad_norm: 4.5992 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0342 loss: 2.0342 2022/08/16 18:06:38 - mmengine - INFO - Epoch(train) [194][1300/3757] lr: 1.4213e-02 eta: 1 day, 2:19:12 time: 0.4093 data_time: 0.0164 memory: 13431 grad_norm: 4.7235 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0355 loss: 2.0355 2022/08/16 18:07:19 - mmengine - INFO - Epoch(train) [194][1400/3757] lr: 1.4213e-02 eta: 1 day, 2:18:32 time: 0.4046 data_time: 0.0157 memory: 13431 grad_norm: 4.4605 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9470 loss: 1.9470 2022/08/16 18:08:00 - mmengine - INFO - Epoch(train) [194][1500/3757] lr: 1.4213e-02 eta: 1 day, 2:17:52 time: 0.4084 data_time: 0.0167 memory: 13431 grad_norm: 4.5741 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9627 loss: 1.9627 2022/08/16 18:08:41 - mmengine - INFO - Epoch(train) [194][1600/3757] lr: 1.4213e-02 eta: 1 day, 2:17:12 time: 0.4062 data_time: 0.0154 memory: 13431 grad_norm: 4.4960 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0684 loss: 2.0684 2022/08/16 18:09:22 - mmengine - INFO - Epoch(train) [194][1700/3757] lr: 1.4213e-02 eta: 1 day, 2:16:32 time: 0.4171 data_time: 0.0153 memory: 13431 grad_norm: 4.7066 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1036 loss: 2.1036 2022/08/16 18:10:03 - mmengine - INFO - Epoch(train) [194][1800/3757] lr: 1.4213e-02 eta: 1 day, 2:15:52 time: 0.4058 data_time: 0.0146 memory: 13431 grad_norm: 4.6589 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9848 loss: 1.9848 2022/08/16 18:10:44 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 18:10:45 - mmengine - INFO - Epoch(train) [194][1900/3757] lr: 1.4213e-02 eta: 1 day, 2:15:12 time: 0.4097 data_time: 0.0173 memory: 13431 grad_norm: 4.6712 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8862 loss: 1.8862 2022/08/16 18:11:26 - mmengine - INFO - Epoch(train) [194][2000/3757] lr: 1.4213e-02 eta: 1 day, 2:14:32 time: 0.4190 data_time: 0.0161 memory: 13431 grad_norm: 4.8005 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6867 loss: 1.6867 2022/08/16 18:12:07 - mmengine - INFO - Epoch(train) [194][2100/3757] lr: 1.4213e-02 eta: 1 day, 2:13:52 time: 0.4117 data_time: 0.0184 memory: 13431 grad_norm: 4.7385 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.0908 loss: 2.0908 2022/08/16 18:12:48 - mmengine - INFO - Epoch(train) [194][2200/3757] lr: 1.4213e-02 eta: 1 day, 2:13:12 time: 0.4072 data_time: 0.0151 memory: 13431 grad_norm: 4.5665 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7576 loss: 1.7576 2022/08/16 18:13:29 - mmengine - INFO - Epoch(train) [194][2300/3757] lr: 1.4213e-02 eta: 1 day, 2:12:32 time: 0.4087 data_time: 0.0150 memory: 13431 grad_norm: 4.6414 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0488 loss: 2.0488 2022/08/16 18:14:11 - mmengine - INFO - Epoch(train) [194][2400/3757] lr: 1.4213e-02 eta: 1 day, 2:11:52 time: 0.4062 data_time: 0.0159 memory: 13431 grad_norm: 4.6466 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9830 loss: 1.9830 2022/08/16 18:14:52 - mmengine - INFO - Epoch(train) [194][2500/3757] lr: 1.4213e-02 eta: 1 day, 2:11:12 time: 0.4075 data_time: 0.0159 memory: 13431 grad_norm: 4.6718 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0329 loss: 2.0329 2022/08/16 18:15:33 - mmengine - INFO - Epoch(train) [194][2600/3757] lr: 1.4213e-02 eta: 1 day, 2:10:32 time: 0.4092 data_time: 0.0166 memory: 13431 grad_norm: 4.5491 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0731 loss: 2.0731 2022/08/16 18:16:14 - mmengine - INFO - Epoch(train) [194][2700/3757] lr: 1.4213e-02 eta: 1 day, 2:09:52 time: 0.4078 data_time: 0.0164 memory: 13431 grad_norm: 4.6865 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0019 loss: 2.0019 2022/08/16 18:16:55 - mmengine - INFO - Epoch(train) [194][2800/3757] lr: 1.4213e-02 eta: 1 day, 2:09:12 time: 0.4080 data_time: 0.0165 memory: 13431 grad_norm: 4.4168 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8045 loss: 1.8045 2022/08/16 18:17:36 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 18:17:36 - mmengine - INFO - Epoch(train) [194][2900/3757] lr: 1.4213e-02 eta: 1 day, 2:08:32 time: 0.4080 data_time: 0.0153 memory: 13431 grad_norm: 4.6048 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8921 loss: 1.8921 2022/08/16 18:18:17 - mmengine - INFO - Epoch(train) [194][3000/3757] lr: 1.4213e-02 eta: 1 day, 2:07:52 time: 0.4066 data_time: 0.0150 memory: 13431 grad_norm: 4.4602 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1580 loss: 2.1580 2022/08/16 18:18:58 - mmengine - INFO - Epoch(train) [194][3100/3757] lr: 1.4213e-02 eta: 1 day, 2:07:12 time: 0.4068 data_time: 0.0159 memory: 13431 grad_norm: 4.6654 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0288 loss: 2.0288 2022/08/16 18:19:39 - mmengine - INFO - Epoch(train) [194][3200/3757] lr: 1.4213e-02 eta: 1 day, 2:06:32 time: 0.4093 data_time: 0.0153 memory: 13431 grad_norm: 4.6455 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0847 loss: 2.0847 2022/08/16 18:20:21 - mmengine - INFO - Epoch(train) [194][3300/3757] lr: 1.4213e-02 eta: 1 day, 2:05:52 time: 0.4084 data_time: 0.0157 memory: 13431 grad_norm: 4.5814 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8638 loss: 1.8638 2022/08/16 18:21:01 - mmengine - INFO - Epoch(train) [194][3400/3757] lr: 1.4213e-02 eta: 1 day, 2:05:11 time: 0.4061 data_time: 0.0161 memory: 13431 grad_norm: 4.7635 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9305 loss: 1.9305 2022/08/16 18:21:43 - mmengine - INFO - Epoch(train) [194][3500/3757] lr: 1.4213e-02 eta: 1 day, 2:04:31 time: 0.4043 data_time: 0.0147 memory: 13431 grad_norm: 4.6805 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8706 loss: 1.8706 2022/08/16 18:22:24 - mmengine - INFO - Epoch(train) [194][3600/3757] lr: 1.4213e-02 eta: 1 day, 2:03:51 time: 0.4077 data_time: 0.0150 memory: 13431 grad_norm: 4.7185 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9484 loss: 1.9484 2022/08/16 18:23:05 - mmengine - INFO - Epoch(train) [194][3700/3757] lr: 1.4213e-02 eta: 1 day, 2:03:11 time: 0.4086 data_time: 0.0177 memory: 13431 grad_norm: 4.5241 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9084 loss: 1.9084 2022/08/16 18:23:28 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 18:23:28 - mmengine - INFO - Epoch(train) [194][3757/3757] lr: 1.4213e-02 eta: 1 day, 2:02:55 time: 0.4007 data_time: 0.0146 memory: 13431 grad_norm: 4.6044 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.8743 loss: 1.8743 2022/08/16 18:24:12 - mmengine - INFO - Epoch(train) [195][100/3757] lr: 1.3788e-02 eta: 1 day, 2:02:07 time: 0.4274 data_time: 0.0165 memory: 13431 grad_norm: 4.5505 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0005 loss: 2.0005 2022/08/16 18:24:30 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 18:24:53 - mmengine - INFO - Epoch(train) [195][200/3757] lr: 1.3788e-02 eta: 1 day, 2:01:27 time: 0.4076 data_time: 0.0151 memory: 13431 grad_norm: 4.8287 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9101 loss: 1.9101 2022/08/16 18:25:34 - mmengine - INFO - Epoch(train) [195][300/3757] lr: 1.3788e-02 eta: 1 day, 2:00:47 time: 0.4064 data_time: 0.0156 memory: 13431 grad_norm: 4.4910 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9635 loss: 1.9635 2022/08/16 18:26:16 - mmengine - INFO - Epoch(train) [195][400/3757] lr: 1.3788e-02 eta: 1 day, 2:00:07 time: 0.4103 data_time: 0.0163 memory: 13431 grad_norm: 4.7749 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9734 loss: 1.9734 2022/08/16 18:26:57 - mmengine - INFO - Epoch(train) [195][500/3757] lr: 1.3788e-02 eta: 1 day, 1:59:27 time: 0.4105 data_time: 0.0165 memory: 13431 grad_norm: 4.5106 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8192 loss: 1.8192 2022/08/16 18:27:38 - mmengine - INFO - Epoch(train) [195][600/3757] lr: 1.3788e-02 eta: 1 day, 1:58:47 time: 0.4066 data_time: 0.0158 memory: 13431 grad_norm: 4.7325 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8088 loss: 1.8088 2022/08/16 18:28:19 - mmengine - INFO - Epoch(train) [195][700/3757] lr: 1.3788e-02 eta: 1 day, 1:58:07 time: 0.4101 data_time: 0.0167 memory: 13431 grad_norm: 4.6998 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7467 loss: 1.7467 2022/08/16 18:29:01 - mmengine - INFO - Epoch(train) [195][800/3757] lr: 1.3788e-02 eta: 1 day, 1:57:27 time: 0.4138 data_time: 0.0154 memory: 13431 grad_norm: 4.6027 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9741 loss: 1.9741 2022/08/16 18:29:42 - mmengine - INFO - Epoch(train) [195][900/3757] lr: 1.3788e-02 eta: 1 day, 1:56:47 time: 0.4080 data_time: 0.0159 memory: 13431 grad_norm: 4.8596 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3823 loss: 2.3823 2022/08/16 18:30:23 - mmengine - INFO - Epoch(train) [195][1000/3757] lr: 1.3788e-02 eta: 1 day, 1:56:07 time: 0.4072 data_time: 0.0159 memory: 13431 grad_norm: 4.7590 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9876 loss: 1.9876 2022/08/16 18:31:04 - mmengine - INFO - Epoch(train) [195][1100/3757] lr: 1.3788e-02 eta: 1 day, 1:55:27 time: 0.4075 data_time: 0.0165 memory: 13431 grad_norm: 4.6713 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.8697 loss: 1.8697 2022/08/16 18:31:21 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 18:31:45 - mmengine - INFO - Epoch(train) [195][1200/3757] lr: 1.3788e-02 eta: 1 day, 1:54:47 time: 0.4075 data_time: 0.0157 memory: 13431 grad_norm: 4.5994 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0824 loss: 2.0824 2022/08/16 18:32:26 - mmengine - INFO - Epoch(train) [195][1300/3757] lr: 1.3788e-02 eta: 1 day, 1:54:07 time: 0.4092 data_time: 0.0179 memory: 13431 grad_norm: 4.6347 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0879 loss: 2.0879 2022/08/16 18:33:07 - mmengine - INFO - Epoch(train) [195][1400/3757] lr: 1.3788e-02 eta: 1 day, 1:53:27 time: 0.4133 data_time: 0.0165 memory: 13431 grad_norm: 4.7481 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0780 loss: 2.0780 2022/08/16 18:33:48 - mmengine - INFO - Epoch(train) [195][1500/3757] lr: 1.3788e-02 eta: 1 day, 1:52:47 time: 0.4125 data_time: 0.0158 memory: 13431 grad_norm: 4.6698 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2029 loss: 2.2029 2022/08/16 18:34:29 - mmengine - INFO - Epoch(train) [195][1600/3757] lr: 1.3788e-02 eta: 1 day, 1:52:07 time: 0.4080 data_time: 0.0154 memory: 13431 grad_norm: 4.7664 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8356 loss: 1.8356 2022/08/16 18:35:10 - mmengine - INFO - Epoch(train) [195][1700/3757] lr: 1.3788e-02 eta: 1 day, 1:51:27 time: 0.4098 data_time: 0.0159 memory: 13431 grad_norm: 4.7197 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3428 loss: 2.3428 2022/08/16 18:35:51 - mmengine - INFO - Epoch(train) [195][1800/3757] lr: 1.3788e-02 eta: 1 day, 1:50:47 time: 0.4081 data_time: 0.0157 memory: 13431 grad_norm: 4.8147 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0479 loss: 2.0479 2022/08/16 18:36:33 - mmengine - INFO - Epoch(train) [195][1900/3757] lr: 1.3788e-02 eta: 1 day, 1:50:07 time: 0.4100 data_time: 0.0165 memory: 13431 grad_norm: 4.6142 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1812 loss: 2.1812 2022/08/16 18:37:14 - mmengine - INFO - Epoch(train) [195][2000/3757] lr: 1.3788e-02 eta: 1 day, 1:49:27 time: 0.4041 data_time: 0.0151 memory: 13431 grad_norm: 4.7113 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7895 loss: 1.7895 2022/08/16 18:37:55 - mmengine - INFO - Epoch(train) [195][2100/3757] lr: 1.3788e-02 eta: 1 day, 1:48:46 time: 0.4101 data_time: 0.0157 memory: 13431 grad_norm: 4.8101 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1177 loss: 2.1177 2022/08/16 18:38:12 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 18:38:36 - mmengine - INFO - Epoch(train) [195][2200/3757] lr: 1.3788e-02 eta: 1 day, 1:48:07 time: 0.4144 data_time: 0.0161 memory: 13431 grad_norm: 4.6816 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1803 loss: 2.1803 2022/08/16 18:39:18 - mmengine - INFO - Epoch(train) [195][2300/3757] lr: 1.3788e-02 eta: 1 day, 1:47:27 time: 0.4064 data_time: 0.0157 memory: 13431 grad_norm: 4.6667 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9631 loss: 1.9631 2022/08/16 18:39:59 - mmengine - INFO - Epoch(train) [195][2400/3757] lr: 1.3788e-02 eta: 1 day, 1:46:47 time: 0.4090 data_time: 0.0159 memory: 13431 grad_norm: 4.7028 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0877 loss: 2.0877 2022/08/16 18:40:40 - mmengine - INFO - Epoch(train) [195][2500/3757] lr: 1.3788e-02 eta: 1 day, 1:46:06 time: 0.4068 data_time: 0.0150 memory: 13431 grad_norm: 4.6505 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7847 loss: 1.7847 2022/08/16 18:41:21 - mmengine - INFO - Epoch(train) [195][2600/3757] lr: 1.3788e-02 eta: 1 day, 1:45:26 time: 0.4136 data_time: 0.0150 memory: 13431 grad_norm: 4.7268 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7290 loss: 1.7290 2022/08/16 18:42:02 - mmengine - INFO - Epoch(train) [195][2700/3757] lr: 1.3788e-02 eta: 1 day, 1:44:46 time: 0.4072 data_time: 0.0158 memory: 13431 grad_norm: 4.6046 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0824 loss: 2.0824 2022/08/16 18:42:43 - mmengine - INFO - Epoch(train) [195][2800/3757] lr: 1.3788e-02 eta: 1 day, 1:44:06 time: 0.4102 data_time: 0.0162 memory: 13431 grad_norm: 4.6604 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1353 loss: 2.1353 2022/08/16 18:43:24 - mmengine - INFO - Epoch(train) [195][2900/3757] lr: 1.3788e-02 eta: 1 day, 1:43:26 time: 0.4165 data_time: 0.0155 memory: 13431 grad_norm: 4.5537 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3634 loss: 2.3634 2022/08/16 18:44:06 - mmengine - INFO - Epoch(train) [195][3000/3757] lr: 1.3788e-02 eta: 1 day, 1:42:46 time: 0.4066 data_time: 0.0152 memory: 13431 grad_norm: 4.6189 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8961 loss: 1.8961 2022/08/16 18:44:47 - mmengine - INFO - Epoch(train) [195][3100/3757] lr: 1.3788e-02 eta: 1 day, 1:42:06 time: 0.4072 data_time: 0.0153 memory: 13431 grad_norm: 4.5464 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4671 loss: 2.4671 2022/08/16 18:45:04 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 18:45:28 - mmengine - INFO - Epoch(train) [195][3200/3757] lr: 1.3788e-02 eta: 1 day, 1:41:26 time: 0.4092 data_time: 0.0158 memory: 13431 grad_norm: 4.8564 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9528 loss: 1.9528 2022/08/16 18:46:09 - mmengine - INFO - Epoch(train) [195][3300/3757] lr: 1.3788e-02 eta: 1 day, 1:40:46 time: 0.4061 data_time: 0.0158 memory: 13431 grad_norm: 4.6669 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0251 loss: 2.0251 2022/08/16 18:46:50 - mmengine - INFO - Epoch(train) [195][3400/3757] lr: 1.3788e-02 eta: 1 day, 1:40:06 time: 0.4085 data_time: 0.0153 memory: 13431 grad_norm: 4.6256 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7143 loss: 1.7143 2022/08/16 18:47:31 - mmengine - INFO - Epoch(train) [195][3500/3757] lr: 1.3788e-02 eta: 1 day, 1:39:26 time: 0.4108 data_time: 0.0165 memory: 13431 grad_norm: 4.8011 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0518 loss: 2.0518 2022/08/16 18:48:13 - mmengine - INFO - Epoch(train) [195][3600/3757] lr: 1.3788e-02 eta: 1 day, 1:38:46 time: 0.4140 data_time: 0.0162 memory: 13431 grad_norm: 4.6724 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0086 loss: 2.0086 2022/08/16 18:48:54 - mmengine - INFO - Epoch(train) [195][3700/3757] lr: 1.3788e-02 eta: 1 day, 1:38:06 time: 0.4065 data_time: 0.0170 memory: 13431 grad_norm: 4.7546 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1859 loss: 2.1859 2022/08/16 18:49:17 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 18:49:17 - mmengine - INFO - Epoch(train) [195][3757/3757] lr: 1.3788e-02 eta: 1 day, 1:37:50 time: 0.3982 data_time: 0.0144 memory: 13431 grad_norm: 4.7433 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.7885 loss: 1.7885 2022/08/16 18:49:39 - mmengine - INFO - Epoch(val) [195][100/310] eta: 0:00:43 time: 0.2063 data_time: 0.0774 memory: 1974 2022/08/16 18:50:01 - mmengine - INFO - Epoch(val) [195][200/310] eta: 0:00:21 time: 0.1910 data_time: 0.0626 memory: 1974 2022/08/16 18:50:22 - mmengine - INFO - Epoch(val) [195][300/310] eta: 0:00:01 time: 0.1976 data_time: 0.0724 memory: 1974 2022/08/16 18:50:26 - mmengine - INFO - Epoch(val) [195][310/310] acc/top1: 0.6044 acc/top5: 0.8321 acc/mean1: 0.6044 2022/08/16 18:50:26 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_191.pth is removed 2022/08/16 18:50:30 - mmengine - INFO - The best checkpoint with 0.6044 acc/top1 at 196 epoch is saved to best_acc/top1_epoch_196.pth. 2022/08/16 18:51:13 - mmengine - INFO - Epoch(train) [196][100/3757] lr: 1.3367e-02 eta: 1 day, 1:37:01 time: 0.4092 data_time: 0.0188 memory: 13431 grad_norm: 4.6470 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.9927 loss: 1.9927 2022/08/16 18:51:54 - mmengine - INFO - Epoch(train) [196][200/3757] lr: 1.3367e-02 eta: 1 day, 1:36:21 time: 0.4088 data_time: 0.0160 memory: 13431 grad_norm: 4.6893 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8497 loss: 1.8497 2022/08/16 18:52:35 - mmengine - INFO - Epoch(train) [196][300/3757] lr: 1.3367e-02 eta: 1 day, 1:35:41 time: 0.4075 data_time: 0.0154 memory: 13431 grad_norm: 4.4964 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8288 loss: 1.8288 2022/08/16 18:53:10 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 18:53:16 - mmengine - INFO - Epoch(train) [196][400/3757] lr: 1.3367e-02 eta: 1 day, 1:35:01 time: 0.4151 data_time: 0.0171 memory: 13431 grad_norm: 4.6200 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1608 loss: 2.1608 2022/08/16 18:53:57 - mmengine - INFO - Epoch(train) [196][500/3757] lr: 1.3367e-02 eta: 1 day, 1:34:21 time: 0.4088 data_time: 0.0161 memory: 13431 grad_norm: 4.9219 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1080 loss: 2.1080 2022/08/16 18:54:39 - mmengine - INFO - Epoch(train) [196][600/3757] lr: 1.3367e-02 eta: 1 day, 1:33:41 time: 0.4081 data_time: 0.0160 memory: 13431 grad_norm: 4.7944 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1539 loss: 2.1539 2022/08/16 18:55:20 - mmengine - INFO - Epoch(train) [196][700/3757] lr: 1.3367e-02 eta: 1 day, 1:33:01 time: 0.4082 data_time: 0.0162 memory: 13431 grad_norm: 4.6689 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9608 loss: 1.9608 2022/08/16 18:56:01 - mmengine - INFO - Epoch(train) [196][800/3757] lr: 1.3367e-02 eta: 1 day, 1:32:21 time: 0.4064 data_time: 0.0154 memory: 13431 grad_norm: 4.6408 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0254 loss: 2.0254 2022/08/16 18:56:42 - mmengine - INFO - Epoch(train) [196][900/3757] lr: 1.3367e-02 eta: 1 day, 1:31:41 time: 0.4166 data_time: 0.0162 memory: 13431 grad_norm: 4.7081 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9572 loss: 1.9572 2022/08/16 18:57:23 - mmengine - INFO - Epoch(train) [196][1000/3757] lr: 1.3367e-02 eta: 1 day, 1:31:01 time: 0.4073 data_time: 0.0160 memory: 13431 grad_norm: 4.5918 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8496 loss: 1.8496 2022/08/16 18:58:05 - mmengine - INFO - Epoch(train) [196][1100/3757] lr: 1.3367e-02 eta: 1 day, 1:30:21 time: 0.4182 data_time: 0.0162 memory: 13431 grad_norm: 4.6019 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6564 loss: 1.6564 2022/08/16 18:58:46 - mmengine - INFO - Epoch(train) [196][1200/3757] lr: 1.3367e-02 eta: 1 day, 1:29:41 time: 0.4097 data_time: 0.0165 memory: 13431 grad_norm: 4.7124 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0354 loss: 2.0354 2022/08/16 18:59:27 - mmengine - INFO - Epoch(train) [196][1300/3757] lr: 1.3367e-02 eta: 1 day, 1:29:01 time: 0.4061 data_time: 0.0156 memory: 13431 grad_norm: 4.6367 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9575 loss: 1.9575 2022/08/16 19:00:02 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 19:00:08 - mmengine - INFO - Epoch(train) [196][1400/3757] lr: 1.3367e-02 eta: 1 day, 1:28:21 time: 0.4077 data_time: 0.0155 memory: 13431 grad_norm: 4.5794 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8956 loss: 1.8956 2022/08/16 19:00:49 - mmengine - INFO - Epoch(train) [196][1500/3757] lr: 1.3367e-02 eta: 1 day, 1:27:41 time: 0.4080 data_time: 0.0161 memory: 13431 grad_norm: 4.5718 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9703 loss: 1.9703 2022/08/16 19:01:30 - mmengine - INFO - Epoch(train) [196][1600/3757] lr: 1.3367e-02 eta: 1 day, 1:27:01 time: 0.4124 data_time: 0.0162 memory: 13431 grad_norm: 4.8201 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9176 loss: 1.9176 2022/08/16 19:02:11 - mmengine - INFO - Epoch(train) [196][1700/3757] lr: 1.3367e-02 eta: 1 day, 1:26:21 time: 0.4088 data_time: 0.0169 memory: 13431 grad_norm: 4.7627 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9978 loss: 1.9978 2022/08/16 19:02:53 - mmengine - INFO - Epoch(train) [196][1800/3757] lr: 1.3367e-02 eta: 1 day, 1:25:41 time: 0.4123 data_time: 0.0157 memory: 13431 grad_norm: 4.6591 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1121 loss: 2.1121 2022/08/16 19:03:34 - mmengine - INFO - Epoch(train) [196][1900/3757] lr: 1.3367e-02 eta: 1 day, 1:25:01 time: 0.4127 data_time: 0.0163 memory: 13431 grad_norm: 4.7299 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2202 loss: 2.2202 2022/08/16 19:04:15 - mmengine - INFO - Epoch(train) [196][2000/3757] lr: 1.3367e-02 eta: 1 day, 1:24:21 time: 0.4088 data_time: 0.0160 memory: 13431 grad_norm: 4.7848 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0102 loss: 2.0102 2022/08/16 19:04:56 - mmengine - INFO - Epoch(train) [196][2100/3757] lr: 1.3367e-02 eta: 1 day, 1:23:41 time: 0.4089 data_time: 0.0152 memory: 13431 grad_norm: 4.9830 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9350 loss: 1.9350 2022/08/16 19:05:37 - mmengine - INFO - Epoch(train) [196][2200/3757] lr: 1.3367e-02 eta: 1 day, 1:23:01 time: 0.4050 data_time: 0.0150 memory: 13431 grad_norm: 4.6708 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7875 loss: 1.7875 2022/08/16 19:06:18 - mmengine - INFO - Epoch(train) [196][2300/3757] lr: 1.3367e-02 eta: 1 day, 1:22:21 time: 0.4066 data_time: 0.0155 memory: 13431 grad_norm: 4.7262 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8798 loss: 1.8798 2022/08/16 19:06:53 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 19:06:59 - mmengine - INFO - Epoch(train) [196][2400/3757] lr: 1.3367e-02 eta: 1 day, 1:21:41 time: 0.4105 data_time: 0.0180 memory: 13431 grad_norm: 4.7260 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0440 loss: 2.0440 2022/08/16 19:07:41 - mmengine - INFO - Epoch(train) [196][2500/3757] lr: 1.3367e-02 eta: 1 day, 1:21:01 time: 0.4136 data_time: 0.0165 memory: 13431 grad_norm: 4.5966 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8863 loss: 1.8863 2022/08/16 19:08:22 - mmengine - INFO - Epoch(train) [196][2600/3757] lr: 1.3367e-02 eta: 1 day, 1:20:21 time: 0.4111 data_time: 0.0168 memory: 13431 grad_norm: 5.0636 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1717 loss: 2.1717 2022/08/16 19:09:03 - mmengine - INFO - Epoch(train) [196][2700/3757] lr: 1.3367e-02 eta: 1 day, 1:19:40 time: 0.4067 data_time: 0.0148 memory: 13431 grad_norm: 4.8427 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0618 loss: 2.0618 2022/08/16 19:09:44 - mmengine - INFO - Epoch(train) [196][2800/3757] lr: 1.3367e-02 eta: 1 day, 1:19:00 time: 0.4076 data_time: 0.0159 memory: 13431 grad_norm: 4.8308 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9840 loss: 1.9840 2022/08/16 19:10:25 - mmengine - INFO - Epoch(train) [196][2900/3757] lr: 1.3367e-02 eta: 1 day, 1:18:20 time: 0.4090 data_time: 0.0174 memory: 13431 grad_norm: 4.7164 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1789 loss: 2.1789 2022/08/16 19:11:06 - mmengine - INFO - Epoch(train) [196][3000/3757] lr: 1.3367e-02 eta: 1 day, 1:17:40 time: 0.4079 data_time: 0.0167 memory: 13431 grad_norm: 4.7222 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0860 loss: 2.0860 2022/08/16 19:11:47 - mmengine - INFO - Epoch(train) [196][3100/3757] lr: 1.3367e-02 eta: 1 day, 1:17:00 time: 0.4073 data_time: 0.0164 memory: 13431 grad_norm: 4.6488 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1141 loss: 2.1141 2022/08/16 19:12:28 - mmengine - INFO - Epoch(train) [196][3200/3757] lr: 1.3367e-02 eta: 1 day, 1:16:20 time: 0.4060 data_time: 0.0149 memory: 13431 grad_norm: 4.7499 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0089 loss: 2.0089 2022/08/16 19:13:10 - mmengine - INFO - Epoch(train) [196][3300/3757] lr: 1.3367e-02 eta: 1 day, 1:15:40 time: 0.4121 data_time: 0.0158 memory: 13431 grad_norm: 4.4965 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9945 loss: 1.9945 2022/08/16 19:13:44 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 19:13:51 - mmengine - INFO - Epoch(train) [196][3400/3757] lr: 1.3367e-02 eta: 1 day, 1:15:00 time: 0.4081 data_time: 0.0166 memory: 13431 grad_norm: 4.8673 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8549 loss: 1.8549 2022/08/16 19:14:32 - mmengine - INFO - Epoch(train) [196][3500/3757] lr: 1.3367e-02 eta: 1 day, 1:14:20 time: 0.4124 data_time: 0.0158 memory: 13431 grad_norm: 4.9387 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1248 loss: 2.1248 2022/08/16 19:15:13 - mmengine - INFO - Epoch(train) [196][3600/3757] lr: 1.3367e-02 eta: 1 day, 1:13:40 time: 0.4092 data_time: 0.0167 memory: 13431 grad_norm: 4.7176 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1789 loss: 2.1789 2022/08/16 19:15:54 - mmengine - INFO - Epoch(train) [196][3700/3757] lr: 1.3367e-02 eta: 1 day, 1:13:00 time: 0.4095 data_time: 0.0154 memory: 13431 grad_norm: 4.8496 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2214 loss: 2.2214 2022/08/16 19:16:17 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 19:16:17 - mmengine - INFO - Epoch(train) [196][3757/3757] lr: 1.3367e-02 eta: 1 day, 1:12:44 time: 0.3961 data_time: 0.0147 memory: 13431 grad_norm: 5.0340 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 2.2766 loss: 2.2766 2022/08/16 19:16:17 - mmengine - INFO - Saving checkpoint at 196 epochs 2022/08/16 19:17:06 - mmengine - INFO - Epoch(train) [197][100/3757] lr: 1.2952e-02 eta: 1 day, 1:11:55 time: 0.4106 data_time: 0.0159 memory: 13431 grad_norm: 4.8465 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9596 loss: 1.9596 2022/08/16 19:17:47 - mmengine - INFO - Epoch(train) [197][200/3757] lr: 1.2952e-02 eta: 1 day, 1:11:15 time: 0.4161 data_time: 0.0160 memory: 13431 grad_norm: 4.8724 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9987 loss: 1.9987 2022/08/16 19:18:28 - mmengine - INFO - Epoch(train) [197][300/3757] lr: 1.2952e-02 eta: 1 day, 1:10:35 time: 0.4055 data_time: 0.0151 memory: 13431 grad_norm: 4.7727 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2723 loss: 2.2723 2022/08/16 19:19:09 - mmengine - INFO - Epoch(train) [197][400/3757] lr: 1.2952e-02 eta: 1 day, 1:09:55 time: 0.4087 data_time: 0.0148 memory: 13431 grad_norm: 4.9146 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9089 loss: 1.9089 2022/08/16 19:19:50 - mmengine - INFO - Epoch(train) [197][500/3757] lr: 1.2952e-02 eta: 1 day, 1:09:15 time: 0.4093 data_time: 0.0162 memory: 13431 grad_norm: 4.9574 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.4159 loss: 2.4159 2022/08/16 19:20:32 - mmengine - INFO - Epoch(train) [197][600/3757] lr: 1.2952e-02 eta: 1 day, 1:08:35 time: 0.4100 data_time: 0.0169 memory: 13431 grad_norm: 4.9015 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0776 loss: 2.0776 2022/08/16 19:20:43 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 19:21:13 - mmengine - INFO - Epoch(train) [197][700/3757] lr: 1.2952e-02 eta: 1 day, 1:07:55 time: 0.4117 data_time: 0.0169 memory: 13431 grad_norm: 4.6428 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0600 loss: 2.0600 2022/08/16 19:21:54 - mmengine - INFO - Epoch(train) [197][800/3757] lr: 1.2952e-02 eta: 1 day, 1:07:15 time: 0.4173 data_time: 0.0158 memory: 13431 grad_norm: 5.0312 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0430 loss: 2.0430 2022/08/16 19:22:35 - mmengine - INFO - Epoch(train) [197][900/3757] lr: 1.2952e-02 eta: 1 day, 1:06:35 time: 0.4165 data_time: 0.0158 memory: 13431 grad_norm: 4.8083 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9156 loss: 1.9156 2022/08/16 19:23:16 - mmengine - INFO - Epoch(train) [197][1000/3757] lr: 1.2952e-02 eta: 1 day, 1:05:55 time: 0.4089 data_time: 0.0151 memory: 13431 grad_norm: 4.6915 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0557 loss: 2.0557 2022/08/16 19:23:58 - mmengine - INFO - Epoch(train) [197][1100/3757] lr: 1.2952e-02 eta: 1 day, 1:05:15 time: 0.4146 data_time: 0.0172 memory: 13431 grad_norm: 4.7497 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1763 loss: 2.1763 2022/08/16 19:25:08 - mmengine - INFO - Epoch(train) [197][1200/3757] lr: 1.2952e-02 eta: 1 day, 1:04:44 time: 0.6076 data_time: 0.1586 memory: 13431 grad_norm: 4.7825 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2697 loss: 2.2697 2022/08/16 19:25:50 - mmengine - INFO - Epoch(train) [197][1300/3757] lr: 1.2952e-02 eta: 1 day, 1:04:04 time: 0.4077 data_time: 0.0150 memory: 13431 grad_norm: 4.9144 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9956 loss: 1.9956 2022/08/16 19:26:31 - mmengine - INFO - Epoch(train) [197][1400/3757] lr: 1.2952e-02 eta: 1 day, 1:03:24 time: 0.4058 data_time: 0.0149 memory: 13431 grad_norm: 4.8417 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7940 loss: 1.7940 2022/08/16 19:27:13 - mmengine - INFO - Epoch(train) [197][1500/3757] lr: 1.2952e-02 eta: 1 day, 1:02:44 time: 0.4108 data_time: 0.0161 memory: 13431 grad_norm: 4.6302 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7460 loss: 1.7460 2022/08/16 19:27:54 - mmengine - INFO - Epoch(train) [197][1600/3757] lr: 1.2952e-02 eta: 1 day, 1:02:04 time: 0.4173 data_time: 0.0165 memory: 13431 grad_norm: 4.7508 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0174 loss: 2.0174 2022/08/16 19:28:06 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 19:28:36 - mmengine - INFO - Epoch(train) [197][1700/3757] lr: 1.2952e-02 eta: 1 day, 1:01:24 time: 0.4115 data_time: 0.0154 memory: 13431 grad_norm: 4.8581 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2137 loss: 2.2137 2022/08/16 19:29:17 - mmengine - INFO - Epoch(train) [197][1800/3757] lr: 1.2952e-02 eta: 1 day, 1:00:44 time: 0.4084 data_time: 0.0165 memory: 13431 grad_norm: 4.9385 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1558 loss: 2.1558 2022/08/16 19:29:58 - mmengine - INFO - Epoch(train) [197][1900/3757] lr: 1.2952e-02 eta: 1 day, 1:00:04 time: 0.4090 data_time: 0.0160 memory: 13431 grad_norm: 4.9619 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3879 loss: 2.3879 2022/08/16 19:30:39 - mmengine - INFO - Epoch(train) [197][2000/3757] lr: 1.2952e-02 eta: 1 day, 0:59:24 time: 0.4072 data_time: 0.0162 memory: 13431 grad_norm: 4.8622 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8376 loss: 1.8376 2022/08/16 19:31:20 - mmengine - INFO - Epoch(train) [197][2100/3757] lr: 1.2952e-02 eta: 1 day, 0:58:44 time: 0.4077 data_time: 0.0155 memory: 13431 grad_norm: 4.6604 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0143 loss: 2.0143 2022/08/16 19:32:01 - mmengine - INFO - Epoch(train) [197][2200/3757] lr: 1.2952e-02 eta: 1 day, 0:58:04 time: 0.4098 data_time: 0.0182 memory: 13431 grad_norm: 4.7873 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7504 loss: 1.7504 2022/08/16 19:32:42 - mmengine - INFO - Epoch(train) [197][2300/3757] lr: 1.2952e-02 eta: 1 day, 0:57:24 time: 0.4162 data_time: 0.0163 memory: 13431 grad_norm: 4.8604 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0644 loss: 2.0644 2022/08/16 19:33:24 - mmengine - INFO - Epoch(train) [197][2400/3757] lr: 1.2952e-02 eta: 1 day, 0:56:44 time: 0.4105 data_time: 0.0166 memory: 13431 grad_norm: 4.6600 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8512 loss: 1.8512 2022/08/16 19:34:05 - mmengine - INFO - Epoch(train) [197][2500/3757] lr: 1.2952e-02 eta: 1 day, 0:56:04 time: 0.4159 data_time: 0.0162 memory: 13431 grad_norm: 4.7419 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3441 loss: 2.3441 2022/08/16 19:34:46 - mmengine - INFO - Epoch(train) [197][2600/3757] lr: 1.2952e-02 eta: 1 day, 0:55:24 time: 0.4072 data_time: 0.0167 memory: 13431 grad_norm: 4.8486 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8797 loss: 1.8797 2022/08/16 19:34:58 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 19:35:27 - mmengine - INFO - Epoch(train) [197][2700/3757] lr: 1.2952e-02 eta: 1 day, 0:54:44 time: 0.4069 data_time: 0.0170 memory: 13431 grad_norm: 4.7650 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0896 loss: 2.0896 2022/08/16 19:36:09 - mmengine - INFO - Epoch(train) [197][2800/3757] lr: 1.2952e-02 eta: 1 day, 0:54:04 time: 0.4130 data_time: 0.0156 memory: 13431 grad_norm: 4.7910 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.7592 loss: 1.7592 2022/08/16 19:36:50 - mmengine - INFO - Epoch(train) [197][2900/3757] lr: 1.2952e-02 eta: 1 day, 0:53:23 time: 0.4077 data_time: 0.0155 memory: 13431 grad_norm: 4.9503 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9385 loss: 1.9385 2022/08/16 19:37:31 - mmengine - INFO - Epoch(train) [197][3000/3757] lr: 1.2952e-02 eta: 1 day, 0:52:43 time: 0.4045 data_time: 0.0151 memory: 13431 grad_norm: 4.7771 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9528 loss: 1.9528 2022/08/16 19:38:12 - mmengine - INFO - Epoch(train) [197][3100/3757] lr: 1.2952e-02 eta: 1 day, 0:52:03 time: 0.4103 data_time: 0.0172 memory: 13431 grad_norm: 4.7852 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2082 loss: 2.2082 2022/08/16 19:38:54 - mmengine - INFO - Epoch(train) [197][3200/3757] lr: 1.2952e-02 eta: 1 day, 0:51:23 time: 0.4066 data_time: 0.0158 memory: 13431 grad_norm: 4.7959 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1470 loss: 2.1470 2022/08/16 19:39:35 - mmengine - INFO - Epoch(train) [197][3300/3757] lr: 1.2952e-02 eta: 1 day, 0:50:43 time: 0.4105 data_time: 0.0155 memory: 13431 grad_norm: 4.9158 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9587 loss: 1.9587 2022/08/16 19:40:16 - mmengine - INFO - Epoch(train) [197][3400/3757] lr: 1.2952e-02 eta: 1 day, 0:50:03 time: 0.4107 data_time: 0.0168 memory: 13431 grad_norm: 4.6457 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1832 loss: 2.1832 2022/08/16 19:40:57 - mmengine - INFO - Epoch(train) [197][3500/3757] lr: 1.2952e-02 eta: 1 day, 0:49:23 time: 0.4166 data_time: 0.0180 memory: 13431 grad_norm: 4.5517 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0060 loss: 2.0060 2022/08/16 19:41:38 - mmengine - INFO - Epoch(train) [197][3600/3757] lr: 1.2952e-02 eta: 1 day, 0:48:43 time: 0.4120 data_time: 0.0152 memory: 13431 grad_norm: 4.6761 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8457 loss: 1.8457 2022/08/16 19:41:50 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 19:42:20 - mmengine - INFO - Epoch(train) [197][3700/3757] lr: 1.2952e-02 eta: 1 day, 0:48:03 time: 0.4056 data_time: 0.0152 memory: 13431 grad_norm: 4.8700 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.0580 loss: 2.0580 2022/08/16 19:42:43 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 19:42:43 - mmengine - INFO - Epoch(train) [197][3757/3757] lr: 1.2952e-02 eta: 1 day, 0:47:47 time: 0.4023 data_time: 0.0131 memory: 13431 grad_norm: 4.8850 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.0440 loss: 2.0440 2022/08/16 19:43:27 - mmengine - INFO - Epoch(train) [198][100/3757] lr: 1.2543e-02 eta: 1 day, 0:46:59 time: 0.4226 data_time: 0.0164 memory: 13431 grad_norm: 4.8119 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0607 loss: 2.0607 2022/08/16 19:44:08 - mmengine - INFO - Epoch(train) [198][200/3757] lr: 1.2543e-02 eta: 1 day, 0:46:19 time: 0.4146 data_time: 0.0159 memory: 13431 grad_norm: 4.7970 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9003 loss: 1.9003 2022/08/16 19:44:49 - mmengine - INFO - Epoch(train) [198][300/3757] lr: 1.2543e-02 eta: 1 day, 0:45:39 time: 0.4131 data_time: 0.0151 memory: 13431 grad_norm: 4.8617 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7649 loss: 1.7649 2022/08/16 19:45:31 - mmengine - INFO - Epoch(train) [198][400/3757] lr: 1.2543e-02 eta: 1 day, 0:44:59 time: 0.4085 data_time: 0.0148 memory: 13431 grad_norm: 4.7604 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9528 loss: 1.9528 2022/08/16 19:46:12 - mmengine - INFO - Epoch(train) [198][500/3757] lr: 1.2543e-02 eta: 1 day, 0:44:19 time: 0.4087 data_time: 0.0160 memory: 13431 grad_norm: 4.7855 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8148 loss: 1.8148 2022/08/16 19:46:53 - mmengine - INFO - Epoch(train) [198][600/3757] lr: 1.2543e-02 eta: 1 day, 0:43:39 time: 0.4083 data_time: 0.0157 memory: 13431 grad_norm: 4.8274 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0057 loss: 2.0057 2022/08/16 19:47:35 - mmengine - INFO - Epoch(train) [198][700/3757] lr: 1.2543e-02 eta: 1 day, 0:42:59 time: 0.4184 data_time: 0.0149 memory: 13431 grad_norm: 4.9673 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0446 loss: 2.0446 2022/08/16 19:48:16 - mmengine - INFO - Epoch(train) [198][800/3757] lr: 1.2543e-02 eta: 1 day, 0:42:19 time: 0.4064 data_time: 0.0150 memory: 13431 grad_norm: 4.6981 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8294 loss: 1.8294 2022/08/16 19:48:45 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 19:48:57 - mmengine - INFO - Epoch(train) [198][900/3757] lr: 1.2543e-02 eta: 1 day, 0:41:39 time: 0.4079 data_time: 0.0153 memory: 13431 grad_norm: 4.7171 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1840 loss: 2.1840 2022/08/16 19:49:38 - mmengine - INFO - Epoch(train) [198][1000/3757] lr: 1.2543e-02 eta: 1 day, 0:40:59 time: 0.4136 data_time: 0.0166 memory: 13431 grad_norm: 4.9118 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9201 loss: 1.9201 2022/08/16 19:50:19 - mmengine - INFO - Epoch(train) [198][1100/3757] lr: 1.2543e-02 eta: 1 day, 0:40:19 time: 0.4084 data_time: 0.0157 memory: 13431 grad_norm: 5.0621 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1463 loss: 2.1463 2022/08/16 19:51:00 - mmengine - INFO - Epoch(train) [198][1200/3757] lr: 1.2543e-02 eta: 1 day, 0:39:39 time: 0.4143 data_time: 0.0169 memory: 13431 grad_norm: 4.9053 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6481 loss: 1.6481 2022/08/16 19:51:42 - mmengine - INFO - Epoch(train) [198][1300/3757] lr: 1.2543e-02 eta: 1 day, 0:38:59 time: 0.4068 data_time: 0.0153 memory: 13431 grad_norm: 4.7728 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9857 loss: 1.9857 2022/08/16 19:52:23 - mmengine - INFO - Epoch(train) [198][1400/3757] lr: 1.2543e-02 eta: 1 day, 0:38:18 time: 0.4110 data_time: 0.0162 memory: 13431 grad_norm: 4.7998 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8753 loss: 1.8753 2022/08/16 19:53:04 - mmengine - INFO - Epoch(train) [198][1500/3757] lr: 1.2543e-02 eta: 1 day, 0:37:38 time: 0.4072 data_time: 0.0152 memory: 13431 grad_norm: 5.0958 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7468 loss: 1.7468 2022/08/16 19:53:45 - mmengine - INFO - Epoch(train) [198][1600/3757] lr: 1.2543e-02 eta: 1 day, 0:36:58 time: 0.4061 data_time: 0.0151 memory: 13431 grad_norm: 4.7856 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5434 loss: 1.5434 2022/08/16 19:54:26 - mmengine - INFO - Epoch(train) [198][1700/3757] lr: 1.2543e-02 eta: 1 day, 0:36:18 time: 0.4187 data_time: 0.0150 memory: 13431 grad_norm: 4.8595 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8727 loss: 1.8727 2022/08/16 19:55:07 - mmengine - INFO - Epoch(train) [198][1800/3757] lr: 1.2543e-02 eta: 1 day, 0:35:38 time: 0.4070 data_time: 0.0160 memory: 13431 grad_norm: 5.0498 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1042 loss: 2.1042 2022/08/16 19:55:37 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 19:55:49 - mmengine - INFO - Epoch(train) [198][1900/3757] lr: 1.2543e-02 eta: 1 day, 0:34:58 time: 0.4171 data_time: 0.0166 memory: 13431 grad_norm: 4.8929 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0398 loss: 2.0398 2022/08/16 19:56:30 - mmengine - INFO - Epoch(train) [198][2000/3757] lr: 1.2543e-02 eta: 1 day, 0:34:18 time: 0.4191 data_time: 0.0164 memory: 13431 grad_norm: 4.8815 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8139 loss: 1.8139 2022/08/16 19:57:11 - mmengine - INFO - Epoch(train) [198][2100/3757] lr: 1.2543e-02 eta: 1 day, 0:33:38 time: 0.4155 data_time: 0.0167 memory: 13431 grad_norm: 4.7673 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8734 loss: 1.8734 2022/08/16 19:57:52 - mmengine - INFO - Epoch(train) [198][2200/3757] lr: 1.2543e-02 eta: 1 day, 0:32:58 time: 0.4054 data_time: 0.0155 memory: 13431 grad_norm: 4.7274 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2035 loss: 2.2035 2022/08/16 19:58:33 - mmengine - INFO - Epoch(train) [198][2300/3757] lr: 1.2543e-02 eta: 1 day, 0:32:18 time: 0.4121 data_time: 0.0147 memory: 13431 grad_norm: 4.9186 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1248 loss: 2.1248 2022/08/16 19:59:15 - mmengine - INFO - Epoch(train) [198][2400/3757] lr: 1.2543e-02 eta: 1 day, 0:31:38 time: 0.4133 data_time: 0.0163 memory: 13431 grad_norm: 4.8830 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0196 loss: 2.0196 2022/08/16 19:59:56 - mmengine - INFO - Epoch(train) [198][2500/3757] lr: 1.2543e-02 eta: 1 day, 0:30:58 time: 0.4087 data_time: 0.0164 memory: 13431 grad_norm: 5.0376 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9660 loss: 1.9660 2022/08/16 20:00:37 - mmengine - INFO - Epoch(train) [198][2600/3757] lr: 1.2543e-02 eta: 1 day, 0:30:18 time: 0.4151 data_time: 0.0153 memory: 13431 grad_norm: 4.8715 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.9385 loss: 1.9385 2022/08/16 20:01:19 - mmengine - INFO - Epoch(train) [198][2700/3757] lr: 1.2543e-02 eta: 1 day, 0:29:38 time: 0.4165 data_time: 0.0168 memory: 13431 grad_norm: 4.8838 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9624 loss: 1.9624 2022/08/16 20:02:00 - mmengine - INFO - Epoch(train) [198][2800/3757] lr: 1.2543e-02 eta: 1 day, 0:28:58 time: 0.4150 data_time: 0.0157 memory: 13431 grad_norm: 4.7742 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7833 loss: 1.7833 2022/08/16 20:02:29 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 20:02:41 - mmengine - INFO - Epoch(train) [198][2900/3757] lr: 1.2543e-02 eta: 1 day, 0:28:18 time: 0.4086 data_time: 0.0160 memory: 13431 grad_norm: 4.7924 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8157 loss: 1.8157 2022/08/16 20:03:22 - mmengine - INFO - Epoch(train) [198][3000/3757] lr: 1.2543e-02 eta: 1 day, 0:27:38 time: 0.4073 data_time: 0.0159 memory: 13431 grad_norm: 4.8024 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0367 loss: 2.0367 2022/08/16 20:04:03 - mmengine - INFO - Epoch(train) [198][3100/3757] lr: 1.2543e-02 eta: 1 day, 0:26:58 time: 0.4146 data_time: 0.0151 memory: 13431 grad_norm: 4.8051 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9287 loss: 1.9287 2022/08/16 20:04:44 - mmengine - INFO - Epoch(train) [198][3200/3757] lr: 1.2543e-02 eta: 1 day, 0:26:17 time: 0.4082 data_time: 0.0149 memory: 13431 grad_norm: 4.8110 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8730 loss: 1.8730 2022/08/16 20:05:25 - mmengine - INFO - Epoch(train) [198][3300/3757] lr: 1.2543e-02 eta: 1 day, 0:25:37 time: 0.4121 data_time: 0.0160 memory: 13431 grad_norm: 4.6442 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8568 loss: 1.8568 2022/08/16 20:06:07 - mmengine - INFO - Epoch(train) [198][3400/3757] lr: 1.2543e-02 eta: 1 day, 0:24:57 time: 0.4140 data_time: 0.0165 memory: 13431 grad_norm: 4.7301 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7495 loss: 1.7495 2022/08/16 20:06:48 - mmengine - INFO - Epoch(train) [198][3500/3757] lr: 1.2543e-02 eta: 1 day, 0:24:17 time: 0.4151 data_time: 0.0168 memory: 13431 grad_norm: 4.7519 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8523 loss: 1.8523 2022/08/16 20:07:29 - mmengine - INFO - Epoch(train) [198][3600/3757] lr: 1.2543e-02 eta: 1 day, 0:23:37 time: 0.4094 data_time: 0.0154 memory: 13431 grad_norm: 4.8362 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1590 loss: 2.1590 2022/08/16 20:08:10 - mmengine - INFO - Epoch(train) [198][3700/3757] lr: 1.2543e-02 eta: 1 day, 0:22:57 time: 0.4098 data_time: 0.0157 memory: 13431 grad_norm: 4.9141 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0980 loss: 2.0980 2022/08/16 20:08:33 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 20:08:33 - mmengine - INFO - Epoch(train) [198][3757/3757] lr: 1.2543e-02 eta: 1 day, 0:22:41 time: 0.3945 data_time: 0.0141 memory: 13431 grad_norm: 4.9161 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 2.2062 loss: 2.2062 2022/08/16 20:09:16 - mmengine - INFO - Epoch(train) [199][100/3757] lr: 1.2140e-02 eta: 1 day, 0:21:53 time: 0.4075 data_time: 0.0148 memory: 13431 grad_norm: 4.7927 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1114 loss: 2.1114 2022/08/16 20:09:22 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 20:09:58 - mmengine - INFO - Epoch(train) [199][200/3757] lr: 1.2140e-02 eta: 1 day, 0:21:13 time: 0.4098 data_time: 0.0166 memory: 13431 grad_norm: 4.7672 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7331 loss: 1.7331 2022/08/16 20:10:39 - mmengine - INFO - Epoch(train) [199][300/3757] lr: 1.2140e-02 eta: 1 day, 0:20:33 time: 0.4136 data_time: 0.0168 memory: 13431 grad_norm: 5.0034 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9377 loss: 1.9377 2022/08/16 20:11:20 - mmengine - INFO - Epoch(train) [199][400/3757] lr: 1.2140e-02 eta: 1 day, 0:19:53 time: 0.4090 data_time: 0.0156 memory: 13431 grad_norm: 4.9757 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.8209 loss: 1.8209 2022/08/16 20:12:01 - mmengine - INFO - Epoch(train) [199][500/3757] lr: 1.2140e-02 eta: 1 day, 0:19:13 time: 0.4076 data_time: 0.0162 memory: 13431 grad_norm: 4.8294 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9966 loss: 1.9966 2022/08/16 20:12:42 - mmengine - INFO - Epoch(train) [199][600/3757] lr: 1.2140e-02 eta: 1 day, 0:18:32 time: 0.4085 data_time: 0.0161 memory: 13431 grad_norm: 4.8569 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9728 loss: 1.9728 2022/08/16 20:13:23 - mmengine - INFO - Epoch(train) [199][700/3757] lr: 1.2140e-02 eta: 1 day, 0:17:52 time: 0.4100 data_time: 0.0159 memory: 13431 grad_norm: 4.5694 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6599 loss: 1.6599 2022/08/16 20:14:04 - mmengine - INFO - Epoch(train) [199][800/3757] lr: 1.2140e-02 eta: 1 day, 0:17:12 time: 0.4063 data_time: 0.0142 memory: 13431 grad_norm: 4.9538 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7475 loss: 1.7475 2022/08/16 20:14:46 - mmengine - INFO - Epoch(train) [199][900/3757] lr: 1.2140e-02 eta: 1 day, 0:16:32 time: 0.4100 data_time: 0.0151 memory: 13431 grad_norm: 5.1438 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9910 loss: 1.9910 2022/08/16 20:15:27 - mmengine - INFO - Epoch(train) [199][1000/3757] lr: 1.2140e-02 eta: 1 day, 0:15:52 time: 0.4115 data_time: 0.0146 memory: 13431 grad_norm: 4.7224 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7743 loss: 1.7743 2022/08/16 20:16:09 - mmengine - INFO - Epoch(train) [199][1100/3757] lr: 1.2140e-02 eta: 1 day, 0:15:12 time: 0.4078 data_time: 0.0152 memory: 13431 grad_norm: 4.8214 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7902 loss: 1.7902 2022/08/16 20:16:14 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 20:16:50 - mmengine - INFO - Epoch(train) [199][1200/3757] lr: 1.2140e-02 eta: 1 day, 0:14:32 time: 0.4084 data_time: 0.0155 memory: 13431 grad_norm: 5.0533 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8773 loss: 1.8773 2022/08/16 20:17:31 - mmengine - INFO - Epoch(train) [199][1300/3757] lr: 1.2140e-02 eta: 1 day, 0:13:52 time: 0.4077 data_time: 0.0153 memory: 13431 grad_norm: 4.9957 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9917 loss: 1.9917 2022/08/16 20:18:12 - mmengine - INFO - Epoch(train) [199][1400/3757] lr: 1.2140e-02 eta: 1 day, 0:13:12 time: 0.4068 data_time: 0.0158 memory: 13431 grad_norm: 4.9299 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0200 loss: 2.0200 2022/08/16 20:18:54 - mmengine - INFO - Epoch(train) [199][1500/3757] lr: 1.2140e-02 eta: 1 day, 0:12:32 time: 0.4093 data_time: 0.0170 memory: 13431 grad_norm: 4.8379 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9723 loss: 1.9723 2022/08/16 20:19:35 - mmengine - INFO - Epoch(train) [199][1600/3757] lr: 1.2140e-02 eta: 1 day, 0:11:52 time: 0.4085 data_time: 0.0154 memory: 13431 grad_norm: 4.9658 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7962 loss: 1.7962 2022/08/16 20:20:16 - mmengine - INFO - Epoch(train) [199][1700/3757] lr: 1.2140e-02 eta: 1 day, 0:11:12 time: 0.4142 data_time: 0.0165 memory: 13431 grad_norm: 4.8119 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0484 loss: 2.0484 2022/08/16 20:20:57 - mmengine - INFO - Epoch(train) [199][1800/3757] lr: 1.2140e-02 eta: 1 day, 0:10:32 time: 0.4070 data_time: 0.0167 memory: 13431 grad_norm: 4.6996 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9634 loss: 1.9634 2022/08/16 20:21:39 - mmengine - INFO - Epoch(train) [199][1900/3757] lr: 1.2140e-02 eta: 1 day, 0:09:52 time: 0.4056 data_time: 0.0152 memory: 13431 grad_norm: 4.8417 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8962 loss: 1.8962 2022/08/16 20:22:20 - mmengine - INFO - Epoch(train) [199][2000/3757] lr: 1.2140e-02 eta: 1 day, 0:09:12 time: 0.4076 data_time: 0.0153 memory: 13431 grad_norm: 4.8474 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7578 loss: 1.7578 2022/08/16 20:23:02 - mmengine - INFO - Epoch(train) [199][2100/3757] lr: 1.2140e-02 eta: 1 day, 0:08:32 time: 0.4087 data_time: 0.0156 memory: 13431 grad_norm: 5.0079 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0356 loss: 2.0356 2022/08/16 20:23:08 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 20:23:44 - mmengine - INFO - Epoch(train) [199][2200/3757] lr: 1.2140e-02 eta: 1 day, 0:07:52 time: 0.4188 data_time: 0.0160 memory: 13431 grad_norm: 4.8701 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.0672 loss: 2.0672 2022/08/16 20:24:25 - mmengine - INFO - Epoch(train) [199][2300/3757] lr: 1.2140e-02 eta: 1 day, 0:07:12 time: 0.4049 data_time: 0.0156 memory: 13431 grad_norm: 4.9723 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1797 loss: 2.1797 2022/08/16 20:25:07 - mmengine - INFO - Epoch(train) [199][2400/3757] lr: 1.2140e-02 eta: 1 day, 0:06:32 time: 0.4225 data_time: 0.0197 memory: 13431 grad_norm: 4.7089 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9381 loss: 1.9381 2022/08/16 20:25:48 - mmengine - INFO - Epoch(train) [199][2500/3757] lr: 1.2140e-02 eta: 1 day, 0:05:52 time: 0.4072 data_time: 0.0164 memory: 13431 grad_norm: 4.9766 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1025 loss: 2.1025 2022/08/16 20:26:29 - mmengine - INFO - Epoch(train) [199][2600/3757] lr: 1.2140e-02 eta: 1 day, 0:05:12 time: 0.4126 data_time: 0.0159 memory: 13431 grad_norm: 5.0213 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8404 loss: 1.8404 2022/08/16 20:27:10 - mmengine - INFO - Epoch(train) [199][2700/3757] lr: 1.2140e-02 eta: 1 day, 0:04:32 time: 0.4079 data_time: 0.0165 memory: 13431 grad_norm: 4.8627 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8154 loss: 1.8154 2022/08/16 20:27:52 - mmengine - INFO - Epoch(train) [199][2800/3757] lr: 1.2140e-02 eta: 1 day, 0:03:52 time: 0.4085 data_time: 0.0168 memory: 13431 grad_norm: 4.7729 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9307 loss: 1.9307 2022/08/16 20:28:33 - mmengine - INFO - Epoch(train) [199][2900/3757] lr: 1.2140e-02 eta: 1 day, 0:03:12 time: 0.4103 data_time: 0.0159 memory: 13431 grad_norm: 4.8854 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.8835 loss: 1.8835 2022/08/16 20:29:15 - mmengine - INFO - Epoch(train) [199][3000/3757] lr: 1.2140e-02 eta: 1 day, 0:02:32 time: 0.4098 data_time: 0.0155 memory: 13431 grad_norm: 4.7437 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7529 loss: 1.7529 2022/08/16 20:29:56 - mmengine - INFO - Epoch(train) [199][3100/3757] lr: 1.2140e-02 eta: 1 day, 0:01:52 time: 0.4149 data_time: 0.0168 memory: 13431 grad_norm: 4.8403 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0238 loss: 2.0238 2022/08/16 20:30:02 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 20:30:38 - mmengine - INFO - Epoch(train) [199][3200/3757] lr: 1.2140e-02 eta: 1 day, 0:01:12 time: 0.4136 data_time: 0.0158 memory: 13431 grad_norm: 5.1008 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9628 loss: 1.9628 2022/08/16 20:31:19 - mmengine - INFO - Epoch(train) [199][3300/3757] lr: 1.2140e-02 eta: 1 day, 0:00:32 time: 0.4128 data_time: 0.0167 memory: 13431 grad_norm: 4.9725 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8864 loss: 1.8864 2022/08/16 20:32:00 - mmengine - INFO - Epoch(train) [199][3400/3757] lr: 1.2140e-02 eta: 23:59:52 time: 0.4132 data_time: 0.0161 memory: 13431 grad_norm: 4.8711 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9494 loss: 1.9494 2022/08/16 20:32:42 - mmengine - INFO - Epoch(train) [199][3500/3757] lr: 1.2140e-02 eta: 23:59:12 time: 0.4156 data_time: 0.0156 memory: 13431 grad_norm: 5.0141 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8306 loss: 1.8306 2022/08/16 20:33:23 - mmengine - INFO - Epoch(train) [199][3600/3757] lr: 1.2140e-02 eta: 23:58:32 time: 0.4133 data_time: 0.0166 memory: 13431 grad_norm: 4.9726 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7964 loss: 1.7964 2022/08/16 20:34:05 - mmengine - INFO - Epoch(train) [199][3700/3757] lr: 1.2140e-02 eta: 23:57:52 time: 0.4072 data_time: 0.0153 memory: 13431 grad_norm: 4.9598 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0161 loss: 2.0161 2022/08/16 20:34:28 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 20:34:28 - mmengine - INFO - Epoch(train) [199][3757/3757] lr: 1.2140e-02 eta: 23:57:36 time: 0.4034 data_time: 0.0138 memory: 13431 grad_norm: 4.8017 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.0299 loss: 2.0299 2022/08/16 20:35:12 - mmengine - INFO - Epoch(train) [200][100/3757] lr: 1.1742e-02 eta: 23:56:48 time: 0.4117 data_time: 0.0159 memory: 13431 grad_norm: 4.8212 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9708 loss: 1.9708 2022/08/16 20:35:53 - mmengine - INFO - Epoch(train) [200][200/3757] lr: 1.1742e-02 eta: 23:56:08 time: 0.4131 data_time: 0.0172 memory: 13431 grad_norm: 4.8565 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1041 loss: 2.1041 2022/08/16 20:36:34 - mmengine - INFO - Epoch(train) [200][300/3757] lr: 1.1742e-02 eta: 23:55:28 time: 0.4091 data_time: 0.0176 memory: 13431 grad_norm: 4.8989 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9034 loss: 1.9034 2022/08/16 20:36:58 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 20:37:15 - mmengine - INFO - Epoch(train) [200][400/3757] lr: 1.1742e-02 eta: 23:54:48 time: 0.4093 data_time: 0.0172 memory: 13431 grad_norm: 5.0477 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8709 loss: 1.8709 2022/08/16 20:37:57 - mmengine - INFO - Epoch(train) [200][500/3757] lr: 1.1742e-02 eta: 23:54:08 time: 0.4077 data_time: 0.0167 memory: 13431 grad_norm: 5.0013 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9107 loss: 1.9107 2022/08/16 20:38:38 - mmengine - INFO - Epoch(train) [200][600/3757] lr: 1.1742e-02 eta: 23:53:28 time: 0.4075 data_time: 0.0165 memory: 13431 grad_norm: 4.9778 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0609 loss: 2.0609 2022/08/16 20:39:19 - mmengine - INFO - Epoch(train) [200][700/3757] lr: 1.1742e-02 eta: 23:52:48 time: 0.4171 data_time: 0.0158 memory: 13431 grad_norm: 4.7875 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8922 loss: 1.8922 2022/08/16 20:40:01 - mmengine - INFO - Epoch(train) [200][800/3757] lr: 1.1742e-02 eta: 23:52:08 time: 0.4164 data_time: 0.0154 memory: 13431 grad_norm: 4.6289 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1767 loss: 2.1767 2022/08/16 20:40:42 - mmengine - INFO - Epoch(train) [200][900/3757] lr: 1.1742e-02 eta: 23:51:28 time: 0.4169 data_time: 0.0158 memory: 13431 grad_norm: 4.8841 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8725 loss: 1.8725 2022/08/16 20:41:23 - mmengine - INFO - Epoch(train) [200][1000/3757] lr: 1.1742e-02 eta: 23:50:47 time: 0.4067 data_time: 0.0164 memory: 13431 grad_norm: 4.8399 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0476 loss: 2.0476 2022/08/16 20:42:04 - mmengine - INFO - Epoch(train) [200][1100/3757] lr: 1.1742e-02 eta: 23:50:07 time: 0.4111 data_time: 0.0172 memory: 13431 grad_norm: 4.9461 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1341 loss: 2.1341 2022/08/16 20:42:46 - mmengine - INFO - Epoch(train) [200][1200/3757] lr: 1.1742e-02 eta: 23:49:27 time: 0.4118 data_time: 0.0156 memory: 13431 grad_norm: 4.9063 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1630 loss: 2.1630 2022/08/16 20:43:27 - mmengine - INFO - Epoch(train) [200][1300/3757] lr: 1.1742e-02 eta: 23:48:47 time: 0.4075 data_time: 0.0159 memory: 13431 grad_norm: 4.9431 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7103 loss: 1.7103 2022/08/16 20:43:51 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 20:44:08 - mmengine - INFO - Epoch(train) [200][1400/3757] lr: 1.1742e-02 eta: 23:48:07 time: 0.4153 data_time: 0.0177 memory: 13431 grad_norm: 5.1254 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.8842 loss: 1.8842 2022/08/16 20:44:50 - mmengine - INFO - Epoch(train) [200][1500/3757] lr: 1.1742e-02 eta: 23:47:27 time: 0.4145 data_time: 0.0153 memory: 13431 grad_norm: 4.8209 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0706 loss: 2.0706 2022/08/16 20:45:31 - mmengine - INFO - Epoch(train) [200][1600/3757] lr: 1.1742e-02 eta: 23:46:47 time: 0.4123 data_time: 0.0157 memory: 13431 grad_norm: 4.9903 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8091 loss: 1.8091 2022/08/16 20:46:12 - mmengine - INFO - Epoch(train) [200][1700/3757] lr: 1.1742e-02 eta: 23:46:07 time: 0.4089 data_time: 0.0157 memory: 13431 grad_norm: 4.8232 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7931 loss: 1.7931 2022/08/16 20:46:53 - mmengine - INFO - Epoch(train) [200][1800/3757] lr: 1.1742e-02 eta: 23:45:27 time: 0.4088 data_time: 0.0187 memory: 13431 grad_norm: 4.9545 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8370 loss: 1.8370 2022/08/16 20:47:35 - mmengine - INFO - Epoch(train) [200][1900/3757] lr: 1.1742e-02 eta: 23:44:47 time: 0.4096 data_time: 0.0167 memory: 13431 grad_norm: 4.9538 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7440 loss: 1.7440 2022/08/16 20:48:16 - mmengine - INFO - Epoch(train) [200][2000/3757] lr: 1.1742e-02 eta: 23:44:07 time: 0.4090 data_time: 0.0169 memory: 13431 grad_norm: 5.0724 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7981 loss: 1.7981 2022/08/16 20:48:57 - mmengine - INFO - Epoch(train) [200][2100/3757] lr: 1.1742e-02 eta: 23:43:27 time: 0.4090 data_time: 0.0156 memory: 13431 grad_norm: 5.1006 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7721 loss: 1.7721 2022/08/16 20:49:39 - mmengine - INFO - Epoch(train) [200][2200/3757] lr: 1.1742e-02 eta: 23:42:47 time: 0.4166 data_time: 0.0160 memory: 13431 grad_norm: 5.0689 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9200 loss: 1.9200 2022/08/16 20:50:20 - mmengine - INFO - Epoch(train) [200][2300/3757] lr: 1.1742e-02 eta: 23:42:07 time: 0.4141 data_time: 0.0166 memory: 13431 grad_norm: 4.8087 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7783 loss: 1.7783 2022/08/16 20:50:44 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 20:51:02 - mmengine - INFO - Epoch(train) [200][2400/3757] lr: 1.1742e-02 eta: 23:41:27 time: 0.4420 data_time: 0.0168 memory: 13431 grad_norm: 5.1243 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0302 loss: 2.0302 2022/08/16 20:51:43 - mmengine - INFO - Epoch(train) [200][2500/3757] lr: 1.1742e-02 eta: 23:40:47 time: 0.4062 data_time: 0.0145 memory: 13431 grad_norm: 4.9949 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8743 loss: 1.8743 2022/08/16 20:52:25 - mmengine - INFO - Epoch(train) [200][2600/3757] lr: 1.1742e-02 eta: 23:40:07 time: 0.4124 data_time: 0.0153 memory: 13431 grad_norm: 4.7382 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7817 loss: 1.7817 2022/08/16 20:53:06 - mmengine - INFO - Epoch(train) [200][2700/3757] lr: 1.1742e-02 eta: 23:39:27 time: 0.4111 data_time: 0.0166 memory: 13431 grad_norm: 4.8955 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7379 loss: 1.7379 2022/08/16 20:53:47 - mmengine - INFO - Epoch(train) [200][2800/3757] lr: 1.1742e-02 eta: 23:38:47 time: 0.4126 data_time: 0.0156 memory: 13431 grad_norm: 4.6864 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8910 loss: 1.8910 2022/08/16 20:54:29 - mmengine - INFO - Epoch(train) [200][2900/3757] lr: 1.1742e-02 eta: 23:38:07 time: 0.4134 data_time: 0.0150 memory: 13431 grad_norm: 4.8923 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2885 loss: 2.2885 2022/08/16 20:55:11 - mmengine - INFO - Epoch(train) [200][3000/3757] lr: 1.1742e-02 eta: 23:37:27 time: 0.4134 data_time: 0.0160 memory: 13431 grad_norm: 5.1132 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9268 loss: 1.9268 2022/08/16 20:55:52 - mmengine - INFO - Epoch(train) [200][3100/3757] lr: 1.1742e-02 eta: 23:36:47 time: 0.4089 data_time: 0.0154 memory: 13431 grad_norm: 5.1036 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7888 loss: 1.7888 2022/08/16 20:57:21 - mmengine - INFO - Epoch(train) [200][3200/3757] lr: 1.1742e-02 eta: 23:36:20 time: 2.7758 data_time: 0.0183 memory: 13431 grad_norm: 4.6370 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8031 loss: 1.8031 2022/08/16 20:58:03 - mmengine - INFO - Epoch(train) [200][3300/3757] lr: 1.1742e-02 eta: 23:35:40 time: 0.4122 data_time: 0.0166 memory: 13431 grad_norm: 4.8853 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9082 loss: 1.9082 2022/08/16 20:58:27 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 20:58:45 - mmengine - INFO - Epoch(train) [200][3400/3757] lr: 1.1742e-02 eta: 23:35:01 time: 0.4365 data_time: 0.0168 memory: 13431 grad_norm: 4.8548 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9912 loss: 1.9912 2022/08/16 20:59:26 - mmengine - INFO - Epoch(train) [200][3500/3757] lr: 1.1742e-02 eta: 23:34:21 time: 0.4081 data_time: 0.0150 memory: 13431 grad_norm: 4.8608 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7150 loss: 1.7150 2022/08/16 21:00:08 - mmengine - INFO - Epoch(train) [200][3600/3757] lr: 1.1742e-02 eta: 23:33:41 time: 0.4093 data_time: 0.0152 memory: 13431 grad_norm: 5.0009 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8625 loss: 1.8625 2022/08/16 21:00:50 - mmengine - INFO - Epoch(train) [200][3700/3757] lr: 1.1742e-02 eta: 23:33:01 time: 0.4067 data_time: 0.0168 memory: 13431 grad_norm: 4.7233 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9256 loss: 1.9256 2022/08/16 21:01:13 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 21:01:13 - mmengine - INFO - Epoch(train) [200][3757/3757] lr: 1.1742e-02 eta: 23:32:45 time: 0.3955 data_time: 0.0143 memory: 13431 grad_norm: 5.0107 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 1.9581 loss: 1.9581 2022/08/16 21:01:13 - mmengine - INFO - Saving checkpoint at 200 epochs 2022/08/16 21:01:41 - mmengine - INFO - Epoch(val) [200][100/310] eta: 0:00:44 time: 0.2104 data_time: 0.0833 memory: 1974 2022/08/16 21:02:03 - mmengine - INFO - Epoch(val) [200][200/310] eta: 0:00:21 time: 0.1926 data_time: 0.0592 memory: 1974 2022/08/16 21:02:22 - mmengine - INFO - Epoch(val) [200][300/310] eta: 0:00:01 time: 0.1318 data_time: 0.0245 memory: 1974 2022/08/16 21:02:24 - mmengine - INFO - Epoch(val) [200][310/310] acc/top1: 0.6190 acc/top5: 0.8390 acc/mean1: 0.6189 2022/08/16 21:02:24 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_196.pth is removed 2022/08/16 21:02:28 - mmengine - INFO - The best checkpoint with 0.6190 acc/top1 at 201 epoch is saved to best_acc/top1_epoch_201.pth. 2022/08/16 21:03:11 - mmengine - INFO - Epoch(train) [201][100/3757] lr: 1.1349e-02 eta: 23:31:56 time: 0.4102 data_time: 0.0161 memory: 13431 grad_norm: 5.0895 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9139 loss: 1.9139 2022/08/16 21:03:52 - mmengine - INFO - Epoch(train) [201][200/3757] lr: 1.1349e-02 eta: 23:31:16 time: 0.4110 data_time: 0.0164 memory: 13431 grad_norm: 4.7489 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8712 loss: 1.8712 2022/08/16 21:04:34 - mmengine - INFO - Epoch(train) [201][300/3757] lr: 1.1349e-02 eta: 23:30:36 time: 0.4109 data_time: 0.0161 memory: 13431 grad_norm: 4.8569 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7149 loss: 1.7149 2022/08/16 21:05:15 - mmengine - INFO - Epoch(train) [201][400/3757] lr: 1.1349e-02 eta: 23:29:56 time: 0.4202 data_time: 0.0166 memory: 13431 grad_norm: 5.1455 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0559 loss: 2.0559 2022/08/16 21:05:56 - mmengine - INFO - Epoch(train) [201][500/3757] lr: 1.1349e-02 eta: 23:29:16 time: 0.4093 data_time: 0.0156 memory: 13431 grad_norm: 4.9739 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9121 loss: 1.9121 2022/08/16 21:06:38 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 21:06:38 - mmengine - INFO - Epoch(train) [201][600/3757] lr: 1.1349e-02 eta: 23:28:36 time: 0.4072 data_time: 0.0162 memory: 13431 grad_norm: 5.0456 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0187 loss: 2.0187 2022/08/16 21:07:19 - mmengine - INFO - Epoch(train) [201][700/3757] lr: 1.1349e-02 eta: 23:27:56 time: 0.4093 data_time: 0.0170 memory: 13431 grad_norm: 4.9117 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6206 loss: 1.6206 2022/08/16 21:08:00 - mmengine - INFO - Epoch(train) [201][800/3757] lr: 1.1349e-02 eta: 23:27:16 time: 0.4064 data_time: 0.0157 memory: 13431 grad_norm: 4.9818 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2383 loss: 2.2383 2022/08/16 21:08:41 - mmengine - INFO - Epoch(train) [201][900/3757] lr: 1.1349e-02 eta: 23:26:36 time: 0.4072 data_time: 0.0148 memory: 13431 grad_norm: 5.0291 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0002 loss: 2.0002 2022/08/16 21:09:23 - mmengine - INFO - Epoch(train) [201][1000/3757] lr: 1.1349e-02 eta: 23:25:56 time: 0.4111 data_time: 0.0166 memory: 13431 grad_norm: 4.9977 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7096 loss: 1.7096 2022/08/16 21:10:04 - mmengine - INFO - Epoch(train) [201][1100/3757] lr: 1.1349e-02 eta: 23:25:16 time: 0.4196 data_time: 0.0159 memory: 13431 grad_norm: 5.1051 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1369 loss: 2.1369 2022/08/16 21:10:46 - mmengine - INFO - Epoch(train) [201][1200/3757] lr: 1.1349e-02 eta: 23:24:36 time: 0.4092 data_time: 0.0156 memory: 13431 grad_norm: 5.0608 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8226 loss: 1.8226 2022/08/16 21:11:28 - mmengine - INFO - Epoch(train) [201][1300/3757] lr: 1.1349e-02 eta: 23:23:56 time: 0.4202 data_time: 0.0174 memory: 13431 grad_norm: 5.0341 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2764 loss: 2.2764 2022/08/16 21:12:09 - mmengine - INFO - Epoch(train) [201][1400/3757] lr: 1.1349e-02 eta: 23:23:16 time: 0.4082 data_time: 0.0163 memory: 13431 grad_norm: 5.0521 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2312 loss: 2.2312 2022/08/16 21:12:50 - mmengine - INFO - Epoch(train) [201][1500/3757] lr: 1.1349e-02 eta: 23:22:36 time: 0.4093 data_time: 0.0154 memory: 13431 grad_norm: 4.9740 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8977 loss: 1.8977 2022/08/16 21:13:32 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 21:13:32 - mmengine - INFO - Epoch(train) [201][1600/3757] lr: 1.1349e-02 eta: 23:21:56 time: 0.4095 data_time: 0.0166 memory: 13431 grad_norm: 5.0050 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0329 loss: 2.0329 2022/08/16 21:14:13 - mmengine - INFO - Epoch(train) [201][1700/3757] lr: 1.1349e-02 eta: 23:21:16 time: 0.4166 data_time: 0.0194 memory: 13431 grad_norm: 4.9242 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8482 loss: 1.8482 2022/08/16 21:14:55 - mmengine - INFO - Epoch(train) [201][1800/3757] lr: 1.1349e-02 eta: 23:20:36 time: 0.4240 data_time: 0.0189 memory: 13431 grad_norm: 4.9908 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0437 loss: 2.0437 2022/08/16 21:15:36 - mmengine - INFO - Epoch(train) [201][1900/3757] lr: 1.1349e-02 eta: 23:19:56 time: 0.4111 data_time: 0.0160 memory: 13431 grad_norm: 5.0305 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7984 loss: 1.7984 2022/08/16 21:16:18 - mmengine - INFO - Epoch(train) [201][2000/3757] lr: 1.1349e-02 eta: 23:19:16 time: 0.4220 data_time: 0.0160 memory: 13431 grad_norm: 4.9548 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0075 loss: 2.0075 2022/08/16 21:16:59 - mmengine - INFO - Epoch(train) [201][2100/3757] lr: 1.1349e-02 eta: 23:18:36 time: 0.4086 data_time: 0.0157 memory: 13431 grad_norm: 5.0227 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7983 loss: 1.7983 2022/08/16 21:17:41 - mmengine - INFO - Epoch(train) [201][2200/3757] lr: 1.1349e-02 eta: 23:17:56 time: 0.4053 data_time: 0.0145 memory: 13431 grad_norm: 4.9352 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9290 loss: 1.9290 2022/08/16 21:18:22 - mmengine - INFO - Epoch(train) [201][2300/3757] lr: 1.1349e-02 eta: 23:17:16 time: 0.4105 data_time: 0.0154 memory: 13431 grad_norm: 4.7999 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0964 loss: 2.0964 2022/08/16 21:19:04 - mmengine - INFO - Epoch(train) [201][2400/3757] lr: 1.1349e-02 eta: 23:16:36 time: 0.4066 data_time: 0.0171 memory: 13431 grad_norm: 4.9960 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7919 loss: 1.7919 2022/08/16 21:19:46 - mmengine - INFO - Epoch(train) [201][2500/3757] lr: 1.1349e-02 eta: 23:15:56 time: 0.4165 data_time: 0.0161 memory: 13431 grad_norm: 5.0778 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9301 loss: 1.9301 2022/08/16 21:20:27 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 21:20:27 - mmengine - INFO - Epoch(train) [201][2600/3757] lr: 1.1349e-02 eta: 23:15:16 time: 0.4077 data_time: 0.0149 memory: 13431 grad_norm: 4.9998 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2615 loss: 2.2615 2022/08/16 21:21:08 - mmengine - INFO - Epoch(train) [201][2700/3757] lr: 1.1349e-02 eta: 23:14:36 time: 0.4056 data_time: 0.0149 memory: 13431 grad_norm: 4.9525 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5612 loss: 1.5612 2022/08/16 21:21:50 - mmengine - INFO - Epoch(train) [201][2800/3757] lr: 1.1349e-02 eta: 23:13:56 time: 0.4062 data_time: 0.0164 memory: 13431 grad_norm: 4.9087 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7143 loss: 1.7143 2022/08/16 21:22:31 - mmengine - INFO - Epoch(train) [201][2900/3757] lr: 1.1349e-02 eta: 23:13:16 time: 0.4091 data_time: 0.0152 memory: 13431 grad_norm: 5.0185 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.6877 loss: 1.6877 2022/08/16 21:23:12 - mmengine - INFO - Epoch(train) [201][3000/3757] lr: 1.1349e-02 eta: 23:12:36 time: 0.4211 data_time: 0.0166 memory: 13431 grad_norm: 5.2460 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0915 loss: 2.0915 2022/08/16 21:23:54 - mmengine - INFO - Epoch(train) [201][3100/3757] lr: 1.1349e-02 eta: 23:11:55 time: 0.4099 data_time: 0.0166 memory: 13431 grad_norm: 4.9392 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8916 loss: 1.8916 2022/08/16 21:24:35 - mmengine - INFO - Epoch(train) [201][3200/3757] lr: 1.1349e-02 eta: 23:11:15 time: 0.4094 data_time: 0.0150 memory: 13431 grad_norm: 4.8813 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9976 loss: 1.9976 2022/08/16 21:25:16 - mmengine - INFO - Epoch(train) [201][3300/3757] lr: 1.1349e-02 eta: 23:10:35 time: 0.4131 data_time: 0.0180 memory: 13431 grad_norm: 5.0429 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8675 loss: 1.8675 2022/08/16 21:25:58 - mmengine - INFO - Epoch(train) [201][3400/3757] lr: 1.1349e-02 eta: 23:09:55 time: 0.4102 data_time: 0.0160 memory: 13431 grad_norm: 4.9524 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9416 loss: 1.9416 2022/08/16 21:26:40 - mmengine - INFO - Epoch(train) [201][3500/3757] lr: 1.1349e-02 eta: 23:09:15 time: 0.4086 data_time: 0.0148 memory: 13431 grad_norm: 5.1585 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2196 loss: 2.2196 2022/08/16 21:27:21 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 21:27:21 - mmengine - INFO - Epoch(train) [201][3600/3757] lr: 1.1349e-02 eta: 23:08:35 time: 0.4059 data_time: 0.0164 memory: 13431 grad_norm: 5.2605 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0036 loss: 2.0036 2022/08/16 21:28:03 - mmengine - INFO - Epoch(train) [201][3700/3757] lr: 1.1349e-02 eta: 23:07:55 time: 0.4056 data_time: 0.0155 memory: 13431 grad_norm: 5.1629 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7046 loss: 1.7046 2022/08/16 21:28:26 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 21:28:26 - mmengine - INFO - Epoch(train) [201][3757/3757] lr: 1.1349e-02 eta: 23:07:39 time: 0.3938 data_time: 0.0146 memory: 13431 grad_norm: 4.9860 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.1533 loss: 2.1533 2022/08/16 21:29:10 - mmengine - INFO - Epoch(train) [202][100/3757] lr: 1.0963e-02 eta: 23:06:51 time: 0.4075 data_time: 0.0161 memory: 13431 grad_norm: 5.2572 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9664 loss: 1.9664 2022/08/16 21:29:52 - mmengine - INFO - Epoch(train) [202][200/3757] lr: 1.0963e-02 eta: 23:06:11 time: 0.4055 data_time: 0.0153 memory: 13431 grad_norm: 4.9510 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.8509 loss: 1.8509 2022/08/16 21:30:33 - mmengine - INFO - Epoch(train) [202][300/3757] lr: 1.0963e-02 eta: 23:05:31 time: 0.4075 data_time: 0.0166 memory: 13431 grad_norm: 5.0235 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0395 loss: 2.0395 2022/08/16 21:31:14 - mmengine - INFO - Epoch(train) [202][400/3757] lr: 1.0963e-02 eta: 23:04:51 time: 0.4073 data_time: 0.0162 memory: 13431 grad_norm: 4.9658 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8082 loss: 1.8082 2022/08/16 21:31:56 - mmengine - INFO - Epoch(train) [202][500/3757] lr: 1.0963e-02 eta: 23:04:11 time: 0.4087 data_time: 0.0149 memory: 13431 grad_norm: 5.0314 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9529 loss: 1.9529 2022/08/16 21:32:37 - mmengine - INFO - Epoch(train) [202][600/3757] lr: 1.0963e-02 eta: 23:03:31 time: 0.4113 data_time: 0.0162 memory: 13431 grad_norm: 4.8614 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9667 loss: 1.9667 2022/08/16 21:33:18 - mmengine - INFO - Epoch(train) [202][700/3757] lr: 1.0963e-02 eta: 23:02:51 time: 0.4100 data_time: 0.0156 memory: 13431 grad_norm: 5.1347 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9990 loss: 1.9990 2022/08/16 21:34:00 - mmengine - INFO - Epoch(train) [202][800/3757] lr: 1.0963e-02 eta: 23:02:11 time: 0.4189 data_time: 0.0170 memory: 13431 grad_norm: 5.0272 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0832 loss: 2.0832 2022/08/16 21:34:17 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 21:34:41 - mmengine - INFO - Epoch(train) [202][900/3757] lr: 1.0963e-02 eta: 23:01:31 time: 0.4117 data_time: 0.0161 memory: 13431 grad_norm: 5.1221 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0229 loss: 2.0229 2022/08/16 21:35:22 - mmengine - INFO - Epoch(train) [202][1000/3757] lr: 1.0963e-02 eta: 23:00:51 time: 0.4050 data_time: 0.0148 memory: 13431 grad_norm: 4.9723 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0379 loss: 2.0379 2022/08/16 21:36:04 - mmengine - INFO - Epoch(train) [202][1100/3757] lr: 1.0963e-02 eta: 23:00:11 time: 0.4091 data_time: 0.0152 memory: 13431 grad_norm: 4.8563 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9884 loss: 1.9884 2022/08/16 21:36:45 - mmengine - INFO - Epoch(train) [202][1200/3757] lr: 1.0963e-02 eta: 22:59:31 time: 0.4102 data_time: 0.0151 memory: 13431 grad_norm: 4.9474 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7910 loss: 1.7910 2022/08/16 21:37:27 - mmengine - INFO - Epoch(train) [202][1300/3757] lr: 1.0963e-02 eta: 22:58:51 time: 0.4079 data_time: 0.0150 memory: 13431 grad_norm: 5.0415 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6833 loss: 1.6833 2022/08/16 21:38:08 - mmengine - INFO - Epoch(train) [202][1400/3757] lr: 1.0963e-02 eta: 22:58:11 time: 0.4069 data_time: 0.0156 memory: 13431 grad_norm: 5.0236 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8762 loss: 1.8762 2022/08/16 21:38:49 - mmengine - INFO - Epoch(train) [202][1500/3757] lr: 1.0963e-02 eta: 22:57:31 time: 0.4138 data_time: 0.0162 memory: 13431 grad_norm: 5.2123 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.9278 loss: 1.9278 2022/08/16 21:39:31 - mmengine - INFO - Epoch(train) [202][1600/3757] lr: 1.0963e-02 eta: 22:56:51 time: 0.4186 data_time: 0.0167 memory: 13431 grad_norm: 5.1648 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9008 loss: 1.9008 2022/08/16 21:40:12 - mmengine - INFO - Epoch(train) [202][1700/3757] lr: 1.0963e-02 eta: 22:56:11 time: 0.4070 data_time: 0.0157 memory: 13431 grad_norm: 5.1222 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0503 loss: 2.0503 2022/08/16 21:40:53 - mmengine - INFO - Epoch(train) [202][1800/3757] lr: 1.0963e-02 eta: 22:55:30 time: 0.4087 data_time: 0.0157 memory: 13431 grad_norm: 5.2606 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9705 loss: 1.9705 2022/08/16 21:41:11 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 21:41:35 - mmengine - INFO - Epoch(train) [202][1900/3757] lr: 1.0963e-02 eta: 22:54:50 time: 0.4137 data_time: 0.0159 memory: 13431 grad_norm: 5.0474 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5976 loss: 1.5976 2022/08/16 21:42:16 - mmengine - INFO - Epoch(train) [202][2000/3757] lr: 1.0963e-02 eta: 22:54:10 time: 0.4063 data_time: 0.0158 memory: 13431 grad_norm: 5.0418 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9927 loss: 1.9927 2022/08/16 21:42:57 - mmengine - INFO - Epoch(train) [202][2100/3757] lr: 1.0963e-02 eta: 22:53:30 time: 0.4135 data_time: 0.0162 memory: 13431 grad_norm: 4.9241 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6954 loss: 1.6954 2022/08/16 21:43:39 - mmengine - INFO - Epoch(train) [202][2200/3757] lr: 1.0963e-02 eta: 22:52:50 time: 0.4234 data_time: 0.0151 memory: 13431 grad_norm: 5.0799 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9834 loss: 1.9834 2022/08/16 21:44:20 - mmengine - INFO - Epoch(train) [202][2300/3757] lr: 1.0963e-02 eta: 22:52:10 time: 0.4257 data_time: 0.0156 memory: 13431 grad_norm: 5.1196 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7433 loss: 1.7433 2022/08/16 21:45:02 - mmengine - INFO - Epoch(train) [202][2400/3757] lr: 1.0963e-02 eta: 22:51:30 time: 0.4068 data_time: 0.0152 memory: 13431 grad_norm: 4.8987 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6730 loss: 1.6730 2022/08/16 21:45:43 - mmengine - INFO - Epoch(train) [202][2500/3757] lr: 1.0963e-02 eta: 22:50:50 time: 0.4073 data_time: 0.0165 memory: 13431 grad_norm: 5.0164 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9364 loss: 1.9364 2022/08/16 21:46:24 - mmengine - INFO - Epoch(train) [202][2600/3757] lr: 1.0963e-02 eta: 22:50:10 time: 0.4108 data_time: 0.0164 memory: 13431 grad_norm: 4.9624 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8781 loss: 1.8781 2022/08/16 21:47:06 - mmengine - INFO - Epoch(train) [202][2700/3757] lr: 1.0963e-02 eta: 22:49:30 time: 0.4131 data_time: 0.0168 memory: 13431 grad_norm: 5.1885 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6879 loss: 1.6879 2022/08/16 21:47:47 - mmengine - INFO - Epoch(train) [202][2800/3757] lr: 1.0963e-02 eta: 22:48:50 time: 0.4080 data_time: 0.0169 memory: 13431 grad_norm: 4.9366 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1373 loss: 2.1373 2022/08/16 21:48:05 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 21:48:28 - mmengine - INFO - Epoch(train) [202][2900/3757] lr: 1.0963e-02 eta: 22:48:10 time: 0.4064 data_time: 0.0160 memory: 13431 grad_norm: 5.1243 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6602 loss: 1.6602 2022/08/16 21:49:10 - mmengine - INFO - Epoch(train) [202][3000/3757] lr: 1.0963e-02 eta: 22:47:30 time: 0.4151 data_time: 0.0152 memory: 13431 grad_norm: 5.1287 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0553 loss: 2.0553 2022/08/16 21:49:52 - mmengine - INFO - Epoch(train) [202][3100/3757] lr: 1.0963e-02 eta: 22:46:50 time: 0.4059 data_time: 0.0153 memory: 13431 grad_norm: 5.1454 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3531 loss: 2.3531 2022/08/16 21:50:33 - mmengine - INFO - Epoch(train) [202][3200/3757] lr: 1.0963e-02 eta: 22:46:10 time: 0.4063 data_time: 0.0161 memory: 13431 grad_norm: 4.9887 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1177 loss: 2.1177 2022/08/16 21:51:14 - mmengine - INFO - Epoch(train) [202][3300/3757] lr: 1.0963e-02 eta: 22:45:30 time: 0.4058 data_time: 0.0164 memory: 13431 grad_norm: 5.0025 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9162 loss: 1.9162 2022/08/16 21:51:55 - mmengine - INFO - Epoch(train) [202][3400/3757] lr: 1.0963e-02 eta: 22:44:50 time: 0.4127 data_time: 0.0142 memory: 13431 grad_norm: 5.0197 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8550 loss: 1.8550 2022/08/16 21:52:36 - mmengine - INFO - Epoch(train) [202][3500/3757] lr: 1.0963e-02 eta: 22:44:09 time: 0.4062 data_time: 0.0157 memory: 13431 grad_norm: 4.9008 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8772 loss: 1.8772 2022/08/16 21:53:18 - mmengine - INFO - Epoch(train) [202][3600/3757] lr: 1.0963e-02 eta: 22:43:29 time: 0.4154 data_time: 0.0155 memory: 13431 grad_norm: 5.1301 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0429 loss: 2.0429 2022/08/16 21:53:59 - mmengine - INFO - Epoch(train) [202][3700/3757] lr: 1.0963e-02 eta: 22:42:49 time: 0.4187 data_time: 0.0157 memory: 13431 grad_norm: 5.1779 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8029 loss: 1.8029 2022/08/16 21:54:23 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 21:54:23 - mmengine - INFO - Epoch(train) [202][3757/3757] lr: 1.0963e-02 eta: 22:42:33 time: 0.3975 data_time: 0.0152 memory: 13431 grad_norm: 4.9673 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 2.2524 loss: 2.2524 2022/08/16 21:55:00 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 21:55:06 - mmengine - INFO - Epoch(train) [203][100/3757] lr: 1.0583e-02 eta: 22:41:45 time: 0.4098 data_time: 0.0166 memory: 13431 grad_norm: 5.0093 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6801 loss: 1.6801 2022/08/16 21:55:47 - mmengine - INFO - Epoch(train) [203][200/3757] lr: 1.0583e-02 eta: 22:41:05 time: 0.4093 data_time: 0.0164 memory: 13431 grad_norm: 5.1577 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9181 loss: 1.9181 2022/08/16 21:56:28 - mmengine - INFO - Epoch(train) [203][300/3757] lr: 1.0583e-02 eta: 22:40:25 time: 0.4092 data_time: 0.0161 memory: 13431 grad_norm: 5.0702 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9116 loss: 1.9116 2022/08/16 21:57:09 - mmengine - INFO - Epoch(train) [203][400/3757] lr: 1.0583e-02 eta: 22:39:45 time: 0.4102 data_time: 0.0159 memory: 13431 grad_norm: 5.0825 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6567 loss: 1.6567 2022/08/16 21:57:51 - mmengine - INFO - Epoch(train) [203][500/3757] lr: 1.0583e-02 eta: 22:39:05 time: 0.4134 data_time: 0.0166 memory: 13431 grad_norm: 5.0682 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1541 loss: 2.1541 2022/08/16 21:58:32 - mmengine - INFO - Epoch(train) [203][600/3757] lr: 1.0583e-02 eta: 22:38:25 time: 0.4090 data_time: 0.0158 memory: 13431 grad_norm: 5.1489 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.7535 loss: 1.7535 2022/08/16 21:59:13 - mmengine - INFO - Epoch(train) [203][700/3757] lr: 1.0583e-02 eta: 22:37:45 time: 0.4105 data_time: 0.0170 memory: 13431 grad_norm: 5.1675 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8347 loss: 1.8347 2022/08/16 21:59:55 - mmengine - INFO - Epoch(train) [203][800/3757] lr: 1.0583e-02 eta: 22:37:05 time: 0.4067 data_time: 0.0146 memory: 13431 grad_norm: 5.0396 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7868 loss: 1.7868 2022/08/16 22:00:36 - mmengine - INFO - Epoch(train) [203][900/3757] lr: 1.0583e-02 eta: 22:36:24 time: 0.4175 data_time: 0.0192 memory: 13431 grad_norm: 5.0522 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8310 loss: 1.8310 2022/08/16 22:01:17 - mmengine - INFO - Epoch(train) [203][1000/3757] lr: 1.0583e-02 eta: 22:35:44 time: 0.4162 data_time: 0.0167 memory: 13431 grad_norm: 5.1950 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7486 loss: 1.7486 2022/08/16 22:01:53 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 22:01:59 - mmengine - INFO - Epoch(train) [203][1100/3757] lr: 1.0583e-02 eta: 22:35:04 time: 0.4159 data_time: 0.0178 memory: 13431 grad_norm: 4.9930 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8672 loss: 1.8672 2022/08/16 22:02:40 - mmengine - INFO - Epoch(train) [203][1200/3757] lr: 1.0583e-02 eta: 22:34:24 time: 0.4088 data_time: 0.0163 memory: 13431 grad_norm: 4.9175 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7782 loss: 1.7782 2022/08/16 22:03:21 - mmengine - INFO - Epoch(train) [203][1300/3757] lr: 1.0583e-02 eta: 22:33:44 time: 0.4072 data_time: 0.0150 memory: 13431 grad_norm: 5.1266 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.7592 loss: 1.7592 2022/08/16 22:04:02 - mmengine - INFO - Epoch(train) [203][1400/3757] lr: 1.0583e-02 eta: 22:33:04 time: 0.4091 data_time: 0.0162 memory: 13431 grad_norm: 5.2556 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7448 loss: 1.7448 2022/08/16 22:04:44 - mmengine - INFO - Epoch(train) [203][1500/3757] lr: 1.0583e-02 eta: 22:32:24 time: 0.4098 data_time: 0.0152 memory: 13431 grad_norm: 5.1340 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9568 loss: 1.9568 2022/08/16 22:05:25 - mmengine - INFO - Epoch(train) [203][1600/3757] lr: 1.0583e-02 eta: 22:31:44 time: 0.4065 data_time: 0.0166 memory: 13431 grad_norm: 5.1108 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8351 loss: 1.8351 2022/08/16 22:06:06 - mmengine - INFO - Epoch(train) [203][1700/3757] lr: 1.0583e-02 eta: 22:31:04 time: 0.4146 data_time: 0.0148 memory: 13431 grad_norm: 4.9619 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0128 loss: 2.0128 2022/08/16 22:06:47 - mmengine - INFO - Epoch(train) [203][1800/3757] lr: 1.0583e-02 eta: 22:30:24 time: 0.4092 data_time: 0.0152 memory: 13431 grad_norm: 4.9536 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7657 loss: 1.7657 2022/08/16 22:07:28 - mmengine - INFO - Epoch(train) [203][1900/3757] lr: 1.0583e-02 eta: 22:29:43 time: 0.4072 data_time: 0.0157 memory: 13431 grad_norm: 5.4456 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4764 loss: 1.4764 2022/08/16 22:08:10 - mmengine - INFO - Epoch(train) [203][2000/3757] lr: 1.0583e-02 eta: 22:29:03 time: 0.4083 data_time: 0.0152 memory: 13431 grad_norm: 4.9532 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6220 loss: 1.6220 2022/08/16 22:08:45 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 22:08:51 - mmengine - INFO - Epoch(train) [203][2100/3757] lr: 1.0583e-02 eta: 22:28:23 time: 0.4087 data_time: 0.0159 memory: 13431 grad_norm: 5.0041 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8948 loss: 1.8948 2022/08/16 22:09:32 - mmengine - INFO - Epoch(train) [203][2200/3757] lr: 1.0583e-02 eta: 22:27:43 time: 0.4112 data_time: 0.0162 memory: 13431 grad_norm: 5.0848 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7109 loss: 1.7109 2022/08/16 22:10:13 - mmengine - INFO - Epoch(train) [203][2300/3757] lr: 1.0583e-02 eta: 22:27:03 time: 0.4111 data_time: 0.0165 memory: 13431 grad_norm: 4.8315 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1547 loss: 2.1547 2022/08/16 22:10:55 - mmengine - INFO - Epoch(train) [203][2400/3757] lr: 1.0583e-02 eta: 22:26:23 time: 0.4126 data_time: 0.0155 memory: 13431 grad_norm: 5.1953 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1241 loss: 2.1241 2022/08/16 22:11:36 - mmengine - INFO - Epoch(train) [203][2500/3757] lr: 1.0583e-02 eta: 22:25:43 time: 0.4085 data_time: 0.0165 memory: 13431 grad_norm: 5.0256 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7711 loss: 1.7711 2022/08/16 22:12:17 - mmengine - INFO - Epoch(train) [203][2600/3757] lr: 1.0583e-02 eta: 22:25:03 time: 0.4069 data_time: 0.0164 memory: 13431 grad_norm: 5.1483 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8562 loss: 1.8562 2022/08/16 22:12:59 - mmengine - INFO - Epoch(train) [203][2700/3757] lr: 1.0583e-02 eta: 22:24:23 time: 0.4106 data_time: 0.0156 memory: 13431 grad_norm: 5.1511 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7239 loss: 1.7239 2022/08/16 22:13:40 - mmengine - INFO - Epoch(train) [203][2800/3757] lr: 1.0583e-02 eta: 22:23:43 time: 0.4091 data_time: 0.0167 memory: 13431 grad_norm: 5.0418 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8608 loss: 1.8608 2022/08/16 22:14:22 - mmengine - INFO - Epoch(train) [203][2900/3757] lr: 1.0583e-02 eta: 22:23:03 time: 0.4141 data_time: 0.0188 memory: 13431 grad_norm: 5.2497 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.0968 loss: 2.0968 2022/08/16 22:15:03 - mmengine - INFO - Epoch(train) [203][3000/3757] lr: 1.0583e-02 eta: 22:22:23 time: 0.4111 data_time: 0.0157 memory: 13431 grad_norm: 5.4159 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3112 loss: 2.3112 2022/08/16 22:15:38 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 22:15:44 - mmengine - INFO - Epoch(train) [203][3100/3757] lr: 1.0583e-02 eta: 22:21:42 time: 0.4147 data_time: 0.0162 memory: 13431 grad_norm: 5.2209 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8719 loss: 1.8719 2022/08/16 22:16:25 - mmengine - INFO - Epoch(train) [203][3200/3757] lr: 1.0583e-02 eta: 22:21:02 time: 0.4080 data_time: 0.0162 memory: 13431 grad_norm: 5.0869 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.9133 loss: 1.9133 2022/08/16 22:17:06 - mmengine - INFO - Epoch(train) [203][3300/3757] lr: 1.0583e-02 eta: 22:20:22 time: 0.4075 data_time: 0.0152 memory: 13431 grad_norm: 5.1575 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9361 loss: 1.9361 2022/08/16 22:17:48 - mmengine - INFO - Epoch(train) [203][3400/3757] lr: 1.0583e-02 eta: 22:19:42 time: 0.4057 data_time: 0.0150 memory: 13431 grad_norm: 5.2188 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9906 loss: 1.9906 2022/08/16 22:18:29 - mmengine - INFO - Epoch(train) [203][3500/3757] lr: 1.0583e-02 eta: 22:19:02 time: 0.4083 data_time: 0.0165 memory: 13431 grad_norm: 5.2159 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8489 loss: 1.8489 2022/08/16 22:19:10 - mmengine - INFO - Epoch(train) [203][3600/3757] lr: 1.0583e-02 eta: 22:18:22 time: 0.4100 data_time: 0.0182 memory: 13431 grad_norm: 5.0737 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1286 loss: 2.1286 2022/08/16 22:19:52 - mmengine - INFO - Epoch(train) [203][3700/3757] lr: 1.0583e-02 eta: 22:17:42 time: 0.4129 data_time: 0.0166 memory: 13431 grad_norm: 5.2391 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9541 loss: 1.9541 2022/08/16 22:20:15 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 22:20:15 - mmengine - INFO - Epoch(train) [203][3757/3757] lr: 1.0583e-02 eta: 22:17:26 time: 0.3988 data_time: 0.0155 memory: 13431 grad_norm: 5.3649 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.1517 loss: 2.1517 2022/08/16 22:20:59 - mmengine - INFO - Epoch(train) [204][100/3757] lr: 1.0208e-02 eta: 22:16:38 time: 0.4093 data_time: 0.0163 memory: 13431 grad_norm: 4.9738 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8453 loss: 1.8453 2022/08/16 22:21:40 - mmengine - INFO - Epoch(train) [204][200/3757] lr: 1.0208e-02 eta: 22:15:58 time: 0.4080 data_time: 0.0153 memory: 13431 grad_norm: 5.0095 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6392 loss: 1.6392 2022/08/16 22:22:21 - mmengine - INFO - Epoch(train) [204][300/3757] lr: 1.0208e-02 eta: 22:15:18 time: 0.4099 data_time: 0.0168 memory: 13431 grad_norm: 5.0329 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9516 loss: 1.9516 2022/08/16 22:22:33 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 22:23:02 - mmengine - INFO - Epoch(train) [204][400/3757] lr: 1.0208e-02 eta: 22:14:37 time: 0.4071 data_time: 0.0153 memory: 13431 grad_norm: 5.1735 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7985 loss: 1.7985 2022/08/16 22:23:44 - mmengine - INFO - Epoch(train) [204][500/3757] lr: 1.0208e-02 eta: 22:13:57 time: 0.4081 data_time: 0.0169 memory: 13431 grad_norm: 5.2078 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7118 loss: 1.7118 2022/08/16 22:24:25 - mmengine - INFO - Epoch(train) [204][600/3757] lr: 1.0208e-02 eta: 22:13:17 time: 0.4099 data_time: 0.0165 memory: 13431 grad_norm: 5.0784 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0231 loss: 2.0231 2022/08/16 22:25:06 - mmengine - INFO - Epoch(train) [204][700/3757] lr: 1.0208e-02 eta: 22:12:37 time: 0.4086 data_time: 0.0159 memory: 13431 grad_norm: 5.3326 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9527 loss: 1.9527 2022/08/16 22:25:47 - mmengine - INFO - Epoch(train) [204][800/3757] lr: 1.0208e-02 eta: 22:11:57 time: 0.4052 data_time: 0.0151 memory: 13431 grad_norm: 4.9343 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8203 loss: 1.8203 2022/08/16 22:26:28 - mmengine - INFO - Epoch(train) [204][900/3757] lr: 1.0208e-02 eta: 22:11:17 time: 0.4057 data_time: 0.0165 memory: 13431 grad_norm: 5.3166 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9647 loss: 1.9647 2022/08/16 22:27:10 - mmengine - INFO - Epoch(train) [204][1000/3757] lr: 1.0208e-02 eta: 22:10:37 time: 0.4170 data_time: 0.0157 memory: 13431 grad_norm: 5.1891 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8415 loss: 1.8415 2022/08/16 22:27:51 - mmengine - INFO - Epoch(train) [204][1100/3757] lr: 1.0208e-02 eta: 22:09:57 time: 0.4083 data_time: 0.0168 memory: 13431 grad_norm: 5.2909 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7921 loss: 1.7921 2022/08/16 22:28:32 - mmengine - INFO - Epoch(train) [204][1200/3757] lr: 1.0208e-02 eta: 22:09:17 time: 0.4075 data_time: 0.0166 memory: 13431 grad_norm: 5.1289 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9605 loss: 1.9605 2022/08/16 22:29:13 - mmengine - INFO - Epoch(train) [204][1300/3757] lr: 1.0208e-02 eta: 22:08:36 time: 0.4100 data_time: 0.0160 memory: 13431 grad_norm: 5.2141 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9445 loss: 1.9445 2022/08/16 22:29:25 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 22:29:54 - mmengine - INFO - Epoch(train) [204][1400/3757] lr: 1.0208e-02 eta: 22:07:56 time: 0.4123 data_time: 0.0163 memory: 13431 grad_norm: 5.1993 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6688 loss: 1.6688 2022/08/16 22:30:35 - mmengine - INFO - Epoch(train) [204][1500/3757] lr: 1.0208e-02 eta: 22:07:16 time: 0.4114 data_time: 0.0169 memory: 13431 grad_norm: 5.1792 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7875 loss: 1.7875 2022/08/16 22:31:16 - mmengine - INFO - Epoch(train) [204][1600/3757] lr: 1.0208e-02 eta: 22:06:36 time: 0.4054 data_time: 0.0147 memory: 13431 grad_norm: 5.1806 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7336 loss: 1.7336 2022/08/16 22:31:58 - mmengine - INFO - Epoch(train) [204][1700/3757] lr: 1.0208e-02 eta: 22:05:56 time: 0.4102 data_time: 0.0162 memory: 13431 grad_norm: 4.8802 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6978 loss: 1.6978 2022/08/16 22:32:39 - mmengine - INFO - Epoch(train) [204][1800/3757] lr: 1.0208e-02 eta: 22:05:16 time: 0.4081 data_time: 0.0165 memory: 13431 grad_norm: 5.1937 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0525 loss: 2.0525 2022/08/16 22:33:20 - mmengine - INFO - Epoch(train) [204][1900/3757] lr: 1.0208e-02 eta: 22:04:36 time: 0.4046 data_time: 0.0146 memory: 13431 grad_norm: 4.9720 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8775 loss: 1.8775 2022/08/16 22:34:02 - mmengine - INFO - Epoch(train) [204][2000/3757] lr: 1.0208e-02 eta: 22:03:56 time: 0.4117 data_time: 0.0157 memory: 13431 grad_norm: 5.2222 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9351 loss: 1.9351 2022/08/16 22:34:43 - mmengine - INFO - Epoch(train) [204][2100/3757] lr: 1.0208e-02 eta: 22:03:15 time: 0.4073 data_time: 0.0155 memory: 13431 grad_norm: 5.2183 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6852 loss: 1.6852 2022/08/16 22:35:24 - mmengine - INFO - Epoch(train) [204][2200/3757] lr: 1.0208e-02 eta: 22:02:35 time: 0.4095 data_time: 0.0172 memory: 13431 grad_norm: 5.3166 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7886 loss: 1.7886 2022/08/16 22:36:05 - mmengine - INFO - Epoch(train) [204][2300/3757] lr: 1.0208e-02 eta: 22:01:55 time: 0.4105 data_time: 0.0169 memory: 13431 grad_norm: 5.3854 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9524 loss: 1.9524 2022/08/16 22:36:18 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 22:36:47 - mmengine - INFO - Epoch(train) [204][2400/3757] lr: 1.0208e-02 eta: 22:01:15 time: 0.4111 data_time: 0.0153 memory: 13431 grad_norm: 5.1442 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9778 loss: 1.9778 2022/08/16 22:37:30 - mmengine - INFO - Epoch(train) [204][2500/3757] lr: 1.0208e-02 eta: 22:00:36 time: 0.4134 data_time: 0.0196 memory: 13431 grad_norm: 5.3318 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0225 loss: 2.0225 2022/08/16 22:38:11 - mmengine - INFO - Epoch(train) [204][2600/3757] lr: 1.0208e-02 eta: 21:59:56 time: 0.4083 data_time: 0.0170 memory: 13431 grad_norm: 5.1932 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2586 loss: 2.2586 2022/08/16 22:38:53 - mmengine - INFO - Epoch(train) [204][2700/3757] lr: 1.0208e-02 eta: 21:59:15 time: 0.4091 data_time: 0.0164 memory: 13431 grad_norm: 5.2077 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8861 loss: 1.8861 2022/08/16 22:39:34 - mmengine - INFO - Epoch(train) [204][2800/3757] lr: 1.0208e-02 eta: 21:58:35 time: 0.4082 data_time: 0.0158 memory: 13431 grad_norm: 5.0752 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6871 loss: 1.6871 2022/08/16 22:40:15 - mmengine - INFO - Epoch(train) [204][2900/3757] lr: 1.0208e-02 eta: 21:57:55 time: 0.4059 data_time: 0.0157 memory: 13431 grad_norm: 5.0487 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8436 loss: 1.8436 2022/08/16 22:40:56 - mmengine - INFO - Epoch(train) [204][3000/3757] lr: 1.0208e-02 eta: 21:57:15 time: 0.4068 data_time: 0.0161 memory: 13431 grad_norm: 5.1606 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6418 loss: 1.6418 2022/08/16 22:41:37 - mmengine - INFO - Epoch(train) [204][3100/3757] lr: 1.0208e-02 eta: 21:56:35 time: 0.4169 data_time: 0.0159 memory: 13431 grad_norm: 5.2131 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5653 loss: 1.5653 2022/08/16 22:42:19 - mmengine - INFO - Epoch(train) [204][3200/3757] lr: 1.0208e-02 eta: 21:55:55 time: 0.4097 data_time: 0.0148 memory: 13431 grad_norm: 5.2586 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8296 loss: 1.8296 2022/08/16 22:43:00 - mmengine - INFO - Epoch(train) [204][3300/3757] lr: 1.0208e-02 eta: 21:55:15 time: 0.4095 data_time: 0.0159 memory: 13431 grad_norm: 5.1954 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1029 loss: 2.1029 2022/08/16 22:43:12 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 22:43:41 - mmengine - INFO - Epoch(train) [204][3400/3757] lr: 1.0208e-02 eta: 21:54:35 time: 0.4058 data_time: 0.0156 memory: 13431 grad_norm: 5.2302 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9946 loss: 1.9946 2022/08/16 22:44:23 - mmengine - INFO - Epoch(train) [204][3500/3757] lr: 1.0208e-02 eta: 21:53:55 time: 0.4079 data_time: 0.0146 memory: 13431 grad_norm: 5.1045 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7302 loss: 1.7302 2022/08/16 22:45:04 - mmengine - INFO - Epoch(train) [204][3600/3757] lr: 1.0208e-02 eta: 21:53:15 time: 0.4086 data_time: 0.0153 memory: 13431 grad_norm: 5.1614 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7051 loss: 1.7051 2022/08/16 22:45:45 - mmengine - INFO - Epoch(train) [204][3700/3757] lr: 1.0208e-02 eta: 21:52:34 time: 0.4105 data_time: 0.0156 memory: 13431 grad_norm: 5.1963 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9670 loss: 1.9670 2022/08/16 22:46:08 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 22:46:08 - mmengine - INFO - Epoch(train) [204][3757/3757] lr: 1.0208e-02 eta: 21:52:18 time: 0.3962 data_time: 0.0144 memory: 13431 grad_norm: 5.4151 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.1085 loss: 2.1085 2022/08/16 22:46:09 - mmengine - INFO - Saving checkpoint at 204 epochs 2022/08/16 22:46:58 - mmengine - INFO - Epoch(train) [205][100/3757] lr: 9.8396e-03 eta: 21:51:30 time: 0.4152 data_time: 0.0155 memory: 13431 grad_norm: 5.1609 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7673 loss: 1.7673 2022/08/16 22:47:39 - mmengine - INFO - Epoch(train) [205][200/3757] lr: 9.8396e-03 eta: 21:50:50 time: 0.4070 data_time: 0.0151 memory: 13431 grad_norm: 5.2706 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9862 loss: 1.9862 2022/08/16 22:48:21 - mmengine - INFO - Epoch(train) [205][300/3757] lr: 9.8396e-03 eta: 21:50:10 time: 0.4136 data_time: 0.0161 memory: 13431 grad_norm: 5.0474 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6212 loss: 1.6212 2022/08/16 22:49:02 - mmengine - INFO - Epoch(train) [205][400/3757] lr: 9.8396e-03 eta: 21:49:30 time: 0.4082 data_time: 0.0162 memory: 13431 grad_norm: 5.2396 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0936 loss: 2.0936 2022/08/16 22:49:43 - mmengine - INFO - Epoch(train) [205][500/3757] lr: 9.8396e-03 eta: 21:48:50 time: 0.4068 data_time: 0.0160 memory: 13431 grad_norm: 5.2654 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8743 loss: 1.8743 2022/08/16 22:50:13 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 22:50:24 - mmengine - INFO - Epoch(train) [205][600/3757] lr: 9.8396e-03 eta: 21:48:09 time: 0.4128 data_time: 0.0155 memory: 13431 grad_norm: 5.2961 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6626 loss: 1.6626 2022/08/16 22:51:05 - mmengine - INFO - Epoch(train) [205][700/3757] lr: 9.8396e-03 eta: 21:47:29 time: 0.4090 data_time: 0.0149 memory: 13431 grad_norm: 5.1728 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9951 loss: 1.9951 2022/08/16 22:51:47 - mmengine - INFO - Epoch(train) [205][800/3757] lr: 9.8396e-03 eta: 21:46:49 time: 0.4157 data_time: 0.0158 memory: 13431 grad_norm: 5.2645 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0608 loss: 2.0608 2022/08/16 22:52:28 - mmengine - INFO - Epoch(train) [205][900/3757] lr: 9.8396e-03 eta: 21:46:09 time: 0.4086 data_time: 0.0154 memory: 13431 grad_norm: 5.1730 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0669 loss: 2.0669 2022/08/16 22:53:10 - mmengine - INFO - Epoch(train) [205][1000/3757] lr: 9.8396e-03 eta: 21:45:29 time: 0.4063 data_time: 0.0152 memory: 13431 grad_norm: 4.9543 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7118 loss: 1.7118 2022/08/16 22:53:51 - mmengine - INFO - Epoch(train) [205][1100/3757] lr: 9.8396e-03 eta: 21:44:49 time: 0.4106 data_time: 0.0178 memory: 13431 grad_norm: 5.2032 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7130 loss: 1.7130 2022/08/16 22:54:32 - mmengine - INFO - Epoch(train) [205][1200/3757] lr: 9.8396e-03 eta: 21:44:09 time: 0.4081 data_time: 0.0154 memory: 13431 grad_norm: 5.3826 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9706 loss: 1.9706 2022/08/16 22:55:14 - mmengine - INFO - Epoch(train) [205][1300/3757] lr: 9.8396e-03 eta: 21:43:29 time: 0.4065 data_time: 0.0151 memory: 13431 grad_norm: 5.1739 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9310 loss: 1.9310 2022/08/16 22:55:55 - mmengine - INFO - Epoch(train) [205][1400/3757] lr: 9.8396e-03 eta: 21:42:49 time: 0.4088 data_time: 0.0173 memory: 13431 grad_norm: 5.2621 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9197 loss: 1.9197 2022/08/16 22:56:36 - mmengine - INFO - Epoch(train) [205][1500/3757] lr: 9.8396e-03 eta: 21:42:09 time: 0.4073 data_time: 0.0155 memory: 13431 grad_norm: 5.4719 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8894 loss: 1.8894 2022/08/16 22:57:06 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 22:57:18 - mmengine - INFO - Epoch(train) [205][1600/3757] lr: 9.8396e-03 eta: 21:41:29 time: 0.4091 data_time: 0.0156 memory: 13431 grad_norm: 5.0530 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7195 loss: 1.7195 2022/08/16 22:57:59 - mmengine - INFO - Epoch(train) [205][1700/3757] lr: 9.8396e-03 eta: 21:40:48 time: 0.4092 data_time: 0.0162 memory: 13431 grad_norm: 5.2728 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9935 loss: 1.9935 2022/08/16 22:58:40 - mmengine - INFO - Epoch(train) [205][1800/3757] lr: 9.8396e-03 eta: 21:40:08 time: 0.4081 data_time: 0.0162 memory: 13431 grad_norm: 4.9963 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9687 loss: 1.9687 2022/08/16 22:59:21 - mmengine - INFO - Epoch(train) [205][1900/3757] lr: 9.8396e-03 eta: 21:39:28 time: 0.4076 data_time: 0.0161 memory: 13431 grad_norm: 5.1715 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0127 loss: 2.0127 2022/08/16 23:00:02 - mmengine - INFO - Epoch(train) [205][2000/3757] lr: 9.8396e-03 eta: 21:38:48 time: 0.4131 data_time: 0.0162 memory: 13431 grad_norm: 5.2257 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8319 loss: 1.8319 2022/08/16 23:00:44 - mmengine - INFO - Epoch(train) [205][2100/3757] lr: 9.8396e-03 eta: 21:38:08 time: 0.4087 data_time: 0.0162 memory: 13431 grad_norm: 5.2730 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5960 loss: 1.5960 2022/08/16 23:01:25 - mmengine - INFO - Epoch(train) [205][2200/3757] lr: 9.8396e-03 eta: 21:37:28 time: 0.4162 data_time: 0.0170 memory: 13431 grad_norm: 5.1196 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7038 loss: 1.7038 2022/08/16 23:02:06 - mmengine - INFO - Epoch(train) [205][2300/3757] lr: 9.8396e-03 eta: 21:36:48 time: 0.4096 data_time: 0.0159 memory: 13431 grad_norm: 5.1456 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0407 loss: 2.0407 2022/08/16 23:02:48 - mmengine - INFO - Epoch(train) [205][2400/3757] lr: 9.8396e-03 eta: 21:36:08 time: 0.4082 data_time: 0.0157 memory: 13431 grad_norm: 5.2737 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1102 loss: 2.1102 2022/08/16 23:03:29 - mmengine - INFO - Epoch(train) [205][2500/3757] lr: 9.8396e-03 eta: 21:35:28 time: 0.4071 data_time: 0.0162 memory: 13431 grad_norm: 5.2101 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9265 loss: 1.9265 2022/08/16 23:03:59 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 23:04:10 - mmengine - INFO - Epoch(train) [205][2600/3757] lr: 9.8396e-03 eta: 21:34:47 time: 0.4167 data_time: 0.0149 memory: 13431 grad_norm: 5.1491 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0415 loss: 2.0415 2022/08/16 23:04:51 - mmengine - INFO - Epoch(train) [205][2700/3757] lr: 9.8396e-03 eta: 21:34:07 time: 0.4106 data_time: 0.0157 memory: 13431 grad_norm: 5.4470 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2684 loss: 2.2684 2022/08/16 23:05:33 - mmengine - INFO - Epoch(train) [205][2800/3757] lr: 9.8396e-03 eta: 21:33:27 time: 0.4054 data_time: 0.0147 memory: 13431 grad_norm: 5.1582 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7633 loss: 1.7633 2022/08/16 23:06:14 - mmengine - INFO - Epoch(train) [205][2900/3757] lr: 9.8396e-03 eta: 21:32:47 time: 0.4137 data_time: 0.0152 memory: 13431 grad_norm: 5.2980 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7917 loss: 1.7917 2022/08/16 23:06:55 - mmengine - INFO - Epoch(train) [205][3000/3757] lr: 9.8396e-03 eta: 21:32:07 time: 0.4155 data_time: 0.0148 memory: 13431 grad_norm: 5.2403 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0064 loss: 2.0064 2022/08/16 23:07:37 - mmengine - INFO - Epoch(train) [205][3100/3757] lr: 9.8396e-03 eta: 21:31:27 time: 0.4071 data_time: 0.0158 memory: 13431 grad_norm: 5.1911 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0630 loss: 2.0630 2022/08/16 23:08:18 - mmengine - INFO - Epoch(train) [205][3200/3757] lr: 9.8396e-03 eta: 21:30:47 time: 0.4087 data_time: 0.0160 memory: 13431 grad_norm: 5.1453 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1296 loss: 2.1296 2022/08/16 23:08:59 - mmengine - INFO - Epoch(train) [205][3300/3757] lr: 9.8396e-03 eta: 21:30:07 time: 0.4077 data_time: 0.0168 memory: 13431 grad_norm: 5.2939 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0254 loss: 2.0254 2022/08/16 23:09:40 - mmengine - INFO - Epoch(train) [205][3400/3757] lr: 9.8396e-03 eta: 21:29:27 time: 0.4076 data_time: 0.0157 memory: 13431 grad_norm: 5.1470 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9583 loss: 1.9583 2022/08/16 23:10:21 - mmengine - INFO - Epoch(train) [205][3500/3757] lr: 9.8396e-03 eta: 21:28:46 time: 0.4060 data_time: 0.0155 memory: 13431 grad_norm: 5.1029 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0080 loss: 2.0080 2022/08/16 23:10:51 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 23:11:03 - mmengine - INFO - Epoch(train) [205][3600/3757] lr: 9.8396e-03 eta: 21:28:06 time: 0.4210 data_time: 0.0169 memory: 13431 grad_norm: 5.2197 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9737 loss: 1.9737 2022/08/16 23:11:44 - mmengine - INFO - Epoch(train) [205][3700/3757] lr: 9.8396e-03 eta: 21:27:26 time: 0.4183 data_time: 0.0148 memory: 13431 grad_norm: 5.1235 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9240 loss: 1.9240 2022/08/16 23:12:07 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 23:12:07 - mmengine - INFO - Epoch(train) [205][3757/3757] lr: 9.8396e-03 eta: 21:27:10 time: 0.3954 data_time: 0.0145 memory: 13431 grad_norm: 5.3472 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.8074 loss: 1.8074 2022/08/16 23:12:30 - mmengine - INFO - Epoch(val) [205][100/310] eta: 0:00:45 time: 0.2180 data_time: 0.0893 memory: 1974 2022/08/16 23:12:52 - mmengine - INFO - Epoch(val) [205][200/310] eta: 0:00:21 time: 0.1929 data_time: 0.0649 memory: 1974 2022/08/16 23:13:13 - mmengine - INFO - Epoch(val) [205][300/310] eta: 0:00:01 time: 0.1991 data_time: 0.0689 memory: 1974 2022/08/16 23:13:17 - mmengine - INFO - Epoch(val) [205][310/310] acc/top1: 0.6282 acc/top5: 0.8505 acc/mean1: 0.6281 2022/08/16 23:13:17 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_201.pth is removed 2022/08/16 23:13:22 - mmengine - INFO - The best checkpoint with 0.6282 acc/top1 at 206 epoch is saved to best_acc/top1_epoch_206.pth. 2022/08/16 23:14:04 - mmengine - INFO - Epoch(train) [206][100/3757] lr: 9.4771e-03 eta: 21:26:22 time: 0.4085 data_time: 0.0157 memory: 13431 grad_norm: 5.1481 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8827 loss: 1.8827 2022/08/16 23:14:46 - mmengine - INFO - Epoch(train) [206][200/3757] lr: 9.4771e-03 eta: 21:25:42 time: 0.4079 data_time: 0.0151 memory: 13431 grad_norm: 5.2787 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5412 loss: 1.5412 2022/08/16 23:15:27 - mmengine - INFO - Epoch(train) [206][300/3757] lr: 9.4771e-03 eta: 21:25:02 time: 0.4068 data_time: 0.0162 memory: 13431 grad_norm: 5.1695 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9855 loss: 1.9855 2022/08/16 23:16:08 - mmengine - INFO - Epoch(train) [206][400/3757] lr: 9.4771e-03 eta: 21:24:22 time: 0.4059 data_time: 0.0148 memory: 13431 grad_norm: 4.9983 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8541 loss: 1.8541 2022/08/16 23:16:49 - mmengine - INFO - Epoch(train) [206][500/3757] lr: 9.4771e-03 eta: 21:23:41 time: 0.4062 data_time: 0.0153 memory: 13431 grad_norm: 5.2837 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8786 loss: 1.8786 2022/08/16 23:17:31 - mmengine - INFO - Epoch(train) [206][600/3757] lr: 9.4771e-03 eta: 21:23:01 time: 0.4071 data_time: 0.0169 memory: 13431 grad_norm: 5.1792 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9215 loss: 1.9215 2022/08/16 23:18:12 - mmengine - INFO - Epoch(train) [206][700/3757] lr: 9.4771e-03 eta: 21:22:21 time: 0.4070 data_time: 0.0159 memory: 13431 grad_norm: 5.2944 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.7508 loss: 1.7508 2022/08/16 23:18:53 - mmengine - INFO - Epoch(train) [206][800/3757] lr: 9.4771e-03 eta: 21:21:41 time: 0.4045 data_time: 0.0149 memory: 13431 grad_norm: 5.2230 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8912 loss: 1.8912 2022/08/16 23:18:59 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 23:19:34 - mmengine - INFO - Epoch(train) [206][900/3757] lr: 9.4771e-03 eta: 21:21:01 time: 0.4089 data_time: 0.0155 memory: 13431 grad_norm: 5.2784 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4615 loss: 1.4615 2022/08/16 23:20:15 - mmengine - INFO - Epoch(train) [206][1000/3757] lr: 9.4771e-03 eta: 21:20:21 time: 0.4094 data_time: 0.0155 memory: 13431 grad_norm: 5.3207 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7886 loss: 1.7886 2022/08/16 23:20:56 - mmengine - INFO - Epoch(train) [206][1100/3757] lr: 9.4771e-03 eta: 21:19:41 time: 0.4069 data_time: 0.0160 memory: 13431 grad_norm: 5.2716 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8370 loss: 1.8370 2022/08/16 23:21:38 - mmengine - INFO - Epoch(train) [206][1200/3757] lr: 9.4771e-03 eta: 21:19:00 time: 0.4081 data_time: 0.0163 memory: 13431 grad_norm: 5.3453 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9179 loss: 1.9179 2022/08/16 23:22:19 - mmengine - INFO - Epoch(train) [206][1300/3757] lr: 9.4771e-03 eta: 21:18:20 time: 0.4095 data_time: 0.0164 memory: 13431 grad_norm: 4.9513 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8535 loss: 1.8535 2022/08/16 23:23:00 - mmengine - INFO - Epoch(train) [206][1400/3757] lr: 9.4771e-03 eta: 21:17:40 time: 0.4130 data_time: 0.0166 memory: 13431 grad_norm: 5.3125 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9306 loss: 1.9306 2022/08/16 23:23:41 - mmengine - INFO - Epoch(train) [206][1500/3757] lr: 9.4771e-03 eta: 21:17:00 time: 0.4106 data_time: 0.0159 memory: 13431 grad_norm: 5.2734 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8047 loss: 1.8047 2022/08/16 23:24:23 - mmengine - INFO - Epoch(train) [206][1600/3757] lr: 9.4771e-03 eta: 21:16:20 time: 0.4087 data_time: 0.0155 memory: 13431 grad_norm: 5.2547 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7403 loss: 1.7403 2022/08/16 23:25:04 - mmengine - INFO - Epoch(train) [206][1700/3757] lr: 9.4771e-03 eta: 21:15:40 time: 0.4124 data_time: 0.0165 memory: 13431 grad_norm: 5.1264 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8399 loss: 1.8399 2022/08/16 23:25:45 - mmengine - INFO - Epoch(train) [206][1800/3757] lr: 9.4771e-03 eta: 21:15:00 time: 0.4107 data_time: 0.0177 memory: 13431 grad_norm: 5.4522 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6348 loss: 1.6348 2022/08/16 23:25:51 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 23:26:27 - mmengine - INFO - Epoch(train) [206][1900/3757] lr: 9.4771e-03 eta: 21:14:20 time: 0.4102 data_time: 0.0155 memory: 13431 grad_norm: 5.4238 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.8393 loss: 1.8393 2022/08/16 23:27:08 - mmengine - INFO - Epoch(train) [206][2000/3757] lr: 9.4771e-03 eta: 21:13:40 time: 0.4115 data_time: 0.0170 memory: 13431 grad_norm: 5.4511 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0148 loss: 2.0148 2022/08/16 23:27:49 - mmengine - INFO - Epoch(train) [206][2100/3757] lr: 9.4771e-03 eta: 21:13:00 time: 0.4129 data_time: 0.0160 memory: 13431 grad_norm: 5.0773 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9966 loss: 1.9966 2022/08/16 23:28:31 - mmengine - INFO - Epoch(train) [206][2200/3757] lr: 9.4771e-03 eta: 21:12:19 time: 0.4105 data_time: 0.0164 memory: 13431 grad_norm: 5.1551 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7842 loss: 1.7842 2022/08/16 23:29:12 - mmengine - INFO - Epoch(train) [206][2300/3757] lr: 9.4771e-03 eta: 21:11:39 time: 0.4080 data_time: 0.0149 memory: 13431 grad_norm: 5.3298 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6743 loss: 1.6743 2022/08/16 23:29:53 - mmengine - INFO - Epoch(train) [206][2400/3757] lr: 9.4771e-03 eta: 21:10:59 time: 0.4100 data_time: 0.0151 memory: 13431 grad_norm: 5.2904 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5545 loss: 1.5545 2022/08/16 23:30:35 - mmengine - INFO - Epoch(train) [206][2500/3757] lr: 9.4771e-03 eta: 21:10:19 time: 0.4109 data_time: 0.0158 memory: 13431 grad_norm: 5.2943 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7884 loss: 1.7884 2022/08/16 23:31:16 - mmengine - INFO - Epoch(train) [206][2600/3757] lr: 9.4771e-03 eta: 21:09:39 time: 0.4084 data_time: 0.0161 memory: 13431 grad_norm: 5.0841 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8624 loss: 1.8624 2022/08/16 23:31:57 - mmengine - INFO - Epoch(train) [206][2700/3757] lr: 9.4771e-03 eta: 21:08:59 time: 0.4144 data_time: 0.0170 memory: 13431 grad_norm: 5.4893 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7811 loss: 1.7811 2022/08/16 23:32:39 - mmengine - INFO - Epoch(train) [206][2800/3757] lr: 9.4771e-03 eta: 21:08:19 time: 0.4215 data_time: 0.0153 memory: 13431 grad_norm: 5.2937 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0353 loss: 2.0353 2022/08/16 23:32:45 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 23:33:20 - mmengine - INFO - Epoch(train) [206][2900/3757] lr: 9.4771e-03 eta: 21:07:39 time: 0.4147 data_time: 0.0170 memory: 13431 grad_norm: 5.1638 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7500 loss: 1.7500 2022/08/16 23:34:02 - mmengine - INFO - Epoch(train) [206][3000/3757] lr: 9.4771e-03 eta: 21:06:59 time: 0.4092 data_time: 0.0150 memory: 13431 grad_norm: 5.0744 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5265 loss: 1.5265 2022/08/16 23:34:43 - mmengine - INFO - Epoch(train) [206][3100/3757] lr: 9.4771e-03 eta: 21:06:19 time: 0.4059 data_time: 0.0157 memory: 13431 grad_norm: 5.4203 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9853 loss: 1.9853 2022/08/16 23:35:24 - mmengine - INFO - Epoch(train) [206][3200/3757] lr: 9.4771e-03 eta: 21:05:38 time: 0.4106 data_time: 0.0150 memory: 13431 grad_norm: 5.4683 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8800 loss: 1.8800 2022/08/16 23:36:06 - mmengine - INFO - Epoch(train) [206][3300/3757] lr: 9.4771e-03 eta: 21:04:58 time: 0.4103 data_time: 0.0160 memory: 13431 grad_norm: 5.3789 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9987 loss: 1.9987 2022/08/16 23:36:47 - mmengine - INFO - Epoch(train) [206][3400/3757] lr: 9.4771e-03 eta: 21:04:18 time: 0.4091 data_time: 0.0161 memory: 13431 grad_norm: 5.2975 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8479 loss: 1.8479 2022/08/16 23:37:28 - mmengine - INFO - Epoch(train) [206][3500/3757] lr: 9.4771e-03 eta: 21:03:38 time: 0.4139 data_time: 0.0173 memory: 13431 grad_norm: 5.3044 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9536 loss: 1.9536 2022/08/16 23:38:10 - mmengine - INFO - Epoch(train) [206][3600/3757] lr: 9.4771e-03 eta: 21:02:58 time: 0.4131 data_time: 0.0173 memory: 13431 grad_norm: 5.3229 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1064 loss: 2.1064 2022/08/16 23:38:52 - mmengine - INFO - Epoch(train) [206][3700/3757] lr: 9.4771e-03 eta: 21:02:18 time: 0.4115 data_time: 0.0159 memory: 13431 grad_norm: 5.1677 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9838 loss: 1.9838 2022/08/16 23:39:15 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 23:39:15 - mmengine - INFO - Epoch(train) [206][3757/3757] lr: 9.4771e-03 eta: 21:02:02 time: 0.3941 data_time: 0.0145 memory: 13431 grad_norm: 5.2453 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.0411 loss: 2.0411 2022/08/16 23:39:41 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 23:39:58 - mmengine - INFO - Epoch(train) [207][100/3757] lr: 9.1208e-03 eta: 21:01:14 time: 0.4085 data_time: 0.0167 memory: 13431 grad_norm: 5.3061 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7023 loss: 1.7023 2022/08/16 23:40:40 - mmengine - INFO - Epoch(train) [207][200/3757] lr: 9.1208e-03 eta: 21:00:34 time: 0.4077 data_time: 0.0157 memory: 13431 grad_norm: 5.4525 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7383 loss: 1.7383 2022/08/16 23:41:21 - mmengine - INFO - Epoch(train) [207][300/3757] lr: 9.1208e-03 eta: 20:59:54 time: 0.4156 data_time: 0.0154 memory: 13431 grad_norm: 5.3213 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8093 loss: 1.8093 2022/08/16 23:42:02 - mmengine - INFO - Epoch(train) [207][400/3757] lr: 9.1208e-03 eta: 20:59:14 time: 0.4081 data_time: 0.0158 memory: 13431 grad_norm: 5.3397 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8707 loss: 1.8707 2022/08/16 23:42:44 - mmengine - INFO - Epoch(train) [207][500/3757] lr: 9.1208e-03 eta: 20:58:33 time: 0.4066 data_time: 0.0153 memory: 13431 grad_norm: 4.9625 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.8061 loss: 1.8061 2022/08/16 23:43:25 - mmengine - INFO - Epoch(train) [207][600/3757] lr: 9.1208e-03 eta: 20:57:53 time: 0.4142 data_time: 0.0151 memory: 13431 grad_norm: 5.3354 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1306 loss: 2.1306 2022/08/16 23:44:06 - mmengine - INFO - Epoch(train) [207][700/3757] lr: 9.1208e-03 eta: 20:57:13 time: 0.4146 data_time: 0.0164 memory: 13431 grad_norm: 5.1098 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6717 loss: 1.6717 2022/08/16 23:44:48 - mmengine - INFO - Epoch(train) [207][800/3757] lr: 9.1208e-03 eta: 20:56:33 time: 0.4058 data_time: 0.0149 memory: 13431 grad_norm: 5.3048 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9174 loss: 1.9174 2022/08/16 23:45:29 - mmengine - INFO - Epoch(train) [207][900/3757] lr: 9.1208e-03 eta: 20:55:53 time: 0.4092 data_time: 0.0163 memory: 13431 grad_norm: 5.3364 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7481 loss: 1.7481 2022/08/16 23:46:11 - mmengine - INFO - Epoch(train) [207][1000/3757] lr: 9.1208e-03 eta: 20:55:13 time: 0.4156 data_time: 0.0176 memory: 13431 grad_norm: 5.4608 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8186 loss: 1.8186 2022/08/16 23:46:34 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 23:46:52 - mmengine - INFO - Epoch(train) [207][1100/3757] lr: 9.1208e-03 eta: 20:54:33 time: 0.4072 data_time: 0.0158 memory: 13431 grad_norm: 5.4465 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0098 loss: 2.0098 2022/08/16 23:47:33 - mmengine - INFO - Epoch(train) [207][1200/3757] lr: 9.1208e-03 eta: 20:53:53 time: 0.4199 data_time: 0.0154 memory: 13431 grad_norm: 5.3096 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9663 loss: 1.9663 2022/08/16 23:48:15 - mmengine - INFO - Epoch(train) [207][1300/3757] lr: 9.1208e-03 eta: 20:53:13 time: 0.4163 data_time: 0.0152 memory: 13431 grad_norm: 5.1631 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8034 loss: 1.8034 2022/08/16 23:48:56 - mmengine - INFO - Epoch(train) [207][1400/3757] lr: 9.1208e-03 eta: 20:52:33 time: 0.4095 data_time: 0.0151 memory: 13431 grad_norm: 5.2574 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9129 loss: 1.9129 2022/08/16 23:49:37 - mmengine - INFO - Epoch(train) [207][1500/3757] lr: 9.1208e-03 eta: 20:51:52 time: 0.4084 data_time: 0.0165 memory: 13431 grad_norm: 5.4597 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9895 loss: 1.9895 2022/08/16 23:50:18 - mmengine - INFO - Epoch(train) [207][1600/3757] lr: 9.1208e-03 eta: 20:51:12 time: 0.4125 data_time: 0.0158 memory: 13431 grad_norm: 5.3146 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9998 loss: 1.9998 2022/08/16 23:51:00 - mmengine - INFO - Epoch(train) [207][1700/3757] lr: 9.1208e-03 eta: 20:50:32 time: 0.4161 data_time: 0.0159 memory: 13431 grad_norm: 5.4244 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8195 loss: 1.8195 2022/08/16 23:51:41 - mmengine - INFO - Epoch(train) [207][1800/3757] lr: 9.1208e-03 eta: 20:49:52 time: 0.4087 data_time: 0.0158 memory: 13431 grad_norm: 5.1081 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.6786 loss: 1.6786 2022/08/16 23:52:22 - mmengine - INFO - Epoch(train) [207][1900/3757] lr: 9.1208e-03 eta: 20:49:12 time: 0.4105 data_time: 0.0160 memory: 13431 grad_norm: 5.2046 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5847 loss: 1.5847 2022/08/16 23:53:04 - mmengine - INFO - Epoch(train) [207][2000/3757] lr: 9.1208e-03 eta: 20:48:32 time: 0.4151 data_time: 0.0162 memory: 13431 grad_norm: 5.2870 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5823 loss: 1.5823 2022/08/16 23:53:28 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/16 23:53:45 - mmengine - INFO - Epoch(train) [207][2100/3757] lr: 9.1208e-03 eta: 20:47:52 time: 0.4071 data_time: 0.0162 memory: 13431 grad_norm: 5.4036 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0689 loss: 2.0689 2022/08/16 23:54:27 - mmengine - INFO - Epoch(train) [207][2200/3757] lr: 9.1208e-03 eta: 20:47:12 time: 0.4075 data_time: 0.0147 memory: 13431 grad_norm: 5.3718 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7771 loss: 1.7771 2022/08/16 23:55:09 - mmengine - INFO - Epoch(train) [207][2300/3757] lr: 9.1208e-03 eta: 20:46:32 time: 0.4153 data_time: 0.0161 memory: 13431 grad_norm: 5.6342 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0365 loss: 2.0365 2022/08/16 23:55:50 - mmengine - INFO - Epoch(train) [207][2400/3757] lr: 9.1208e-03 eta: 20:45:52 time: 0.4159 data_time: 0.0180 memory: 13431 grad_norm: 5.4372 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9368 loss: 1.9368 2022/08/16 23:56:32 - mmengine - INFO - Epoch(train) [207][2500/3757] lr: 9.1208e-03 eta: 20:45:12 time: 0.4126 data_time: 0.0164 memory: 13431 grad_norm: 5.3282 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8869 loss: 1.8869 2022/08/16 23:57:13 - mmengine - INFO - Epoch(train) [207][2600/3757] lr: 9.1208e-03 eta: 20:44:31 time: 0.4092 data_time: 0.0157 memory: 13431 grad_norm: 5.5655 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6710 loss: 1.6710 2022/08/16 23:57:54 - mmengine - INFO - Epoch(train) [207][2700/3757] lr: 9.1208e-03 eta: 20:43:51 time: 0.4091 data_time: 0.0156 memory: 13431 grad_norm: 5.3057 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7466 loss: 1.7466 2022/08/16 23:58:35 - mmengine - INFO - Epoch(train) [207][2800/3757] lr: 9.1208e-03 eta: 20:43:11 time: 0.4066 data_time: 0.0157 memory: 13431 grad_norm: 5.3460 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7448 loss: 1.7448 2022/08/16 23:59:17 - mmengine - INFO - Epoch(train) [207][2900/3757] lr: 9.1208e-03 eta: 20:42:31 time: 0.4234 data_time: 0.0169 memory: 13431 grad_norm: 5.4110 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9485 loss: 1.9485 2022/08/16 23:59:59 - mmengine - INFO - Epoch(train) [207][3000/3757] lr: 9.1208e-03 eta: 20:41:51 time: 0.4156 data_time: 0.0174 memory: 13431 grad_norm: 5.4019 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7987 loss: 1.7987 2022/08/17 00:00:28 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 00:00:45 - mmengine - INFO - Epoch(train) [207][3100/3757] lr: 9.1208e-03 eta: 20:41:12 time: 0.4166 data_time: 0.0159 memory: 13431 grad_norm: 5.3638 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8473 loss: 1.8473 2022/08/17 00:01:26 - mmengine - INFO - Epoch(train) [207][3200/3757] lr: 9.1208e-03 eta: 20:40:32 time: 0.4071 data_time: 0.0151 memory: 13431 grad_norm: 5.4225 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2114 loss: 2.2114 2022/08/17 00:02:08 - mmengine - INFO - Epoch(train) [207][3300/3757] lr: 9.1208e-03 eta: 20:39:52 time: 0.4093 data_time: 0.0159 memory: 13431 grad_norm: 5.3783 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9865 loss: 1.9865 2022/08/17 00:02:49 - mmengine - INFO - Epoch(train) [207][3400/3757] lr: 9.1208e-03 eta: 20:39:12 time: 0.4147 data_time: 0.0160 memory: 13431 grad_norm: 5.4585 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6405 loss: 1.6405 2022/08/17 00:03:30 - mmengine - INFO - Epoch(train) [207][3500/3757] lr: 9.1208e-03 eta: 20:38:32 time: 0.4143 data_time: 0.0158 memory: 13431 grad_norm: 5.3406 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9165 loss: 1.9165 2022/08/17 00:04:12 - mmengine - INFO - Epoch(train) [207][3600/3757] lr: 9.1208e-03 eta: 20:37:52 time: 0.4152 data_time: 0.0158 memory: 13431 grad_norm: 5.3113 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4944 loss: 1.4944 2022/08/17 00:04:53 - mmengine - INFO - Epoch(train) [207][3700/3757] lr: 9.1208e-03 eta: 20:37:12 time: 0.4077 data_time: 0.0158 memory: 13431 grad_norm: 5.5966 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9999 loss: 1.9999 2022/08/17 00:05:16 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 00:05:16 - mmengine - INFO - Epoch(train) [207][3757/3757] lr: 9.1208e-03 eta: 20:36:55 time: 0.3945 data_time: 0.0138 memory: 13431 grad_norm: 5.4926 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.7540 loss: 1.7540 2022/08/17 00:05:59 - mmengine - INFO - Epoch(train) [208][100/3757] lr: 8.7705e-03 eta: 20:36:07 time: 0.4060 data_time: 0.0145 memory: 13431 grad_norm: 5.4424 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6233 loss: 1.6233 2022/08/17 00:06:41 - mmengine - INFO - Epoch(train) [208][200/3757] lr: 8.7705e-03 eta: 20:35:27 time: 0.4100 data_time: 0.0166 memory: 13431 grad_norm: 5.3472 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8074 loss: 1.8074 2022/08/17 00:07:22 - mmengine - INFO - Epoch(train) [208][300/3757] lr: 8.7705e-03 eta: 20:34:47 time: 0.4076 data_time: 0.0156 memory: 13431 grad_norm: 5.4701 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9335 loss: 1.9335 2022/08/17 00:07:22 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 00:08:03 - mmengine - INFO - Epoch(train) [208][400/3757] lr: 8.7705e-03 eta: 20:34:07 time: 0.4122 data_time: 0.0157 memory: 13431 grad_norm: 5.2685 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5700 loss: 1.5700 2022/08/17 00:08:44 - mmengine - INFO - Epoch(train) [208][500/3757] lr: 8.7705e-03 eta: 20:33:27 time: 0.4117 data_time: 0.0162 memory: 13431 grad_norm: 5.4418 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8452 loss: 1.8452 2022/08/17 00:09:26 - mmengine - INFO - Epoch(train) [208][600/3757] lr: 8.7705e-03 eta: 20:32:47 time: 0.4188 data_time: 0.0158 memory: 13431 grad_norm: 5.4523 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7697 loss: 1.7697 2022/08/17 00:10:07 - mmengine - INFO - Epoch(train) [208][700/3757] lr: 8.7705e-03 eta: 20:32:07 time: 0.4085 data_time: 0.0161 memory: 13431 grad_norm: 5.4152 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0206 loss: 2.0206 2022/08/17 00:10:49 - mmengine - INFO - Epoch(train) [208][800/3757] lr: 8.7705e-03 eta: 20:31:26 time: 0.4086 data_time: 0.0158 memory: 13431 grad_norm: 5.3469 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7827 loss: 1.7827 2022/08/17 00:11:30 - mmengine - INFO - Epoch(train) [208][900/3757] lr: 8.7705e-03 eta: 20:30:46 time: 0.4076 data_time: 0.0160 memory: 13431 grad_norm: 5.4324 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9028 loss: 1.9028 2022/08/17 00:12:11 - mmengine - INFO - Epoch(train) [208][1000/3757] lr: 8.7705e-03 eta: 20:30:06 time: 0.4115 data_time: 0.0156 memory: 13431 grad_norm: 5.3335 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8005 loss: 1.8005 2022/08/17 00:12:53 - mmengine - INFO - Epoch(train) [208][1100/3757] lr: 8.7705e-03 eta: 20:29:26 time: 0.4097 data_time: 0.0154 memory: 13431 grad_norm: 5.3653 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6689 loss: 1.6689 2022/08/17 00:13:34 - mmengine - INFO - Epoch(train) [208][1200/3757] lr: 8.7705e-03 eta: 20:28:46 time: 0.4051 data_time: 0.0154 memory: 13431 grad_norm: 5.3258 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7538 loss: 1.7538 2022/08/17 00:14:15 - mmengine - INFO - Epoch(train) [208][1300/3757] lr: 8.7705e-03 eta: 20:28:06 time: 0.4153 data_time: 0.0168 memory: 13431 grad_norm: 5.4452 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7555 loss: 1.7555 2022/08/17 00:14:16 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 00:14:57 - mmengine - INFO - Epoch(train) [208][1400/3757] lr: 8.7705e-03 eta: 20:27:26 time: 0.4086 data_time: 0.0158 memory: 13431 grad_norm: 5.4902 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6599 loss: 1.6599 2022/08/17 00:15:38 - mmengine - INFO - Epoch(train) [208][1500/3757] lr: 8.7705e-03 eta: 20:26:46 time: 0.4062 data_time: 0.0155 memory: 13431 grad_norm: 5.3163 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7249 loss: 1.7249 2022/08/17 00:16:19 - mmengine - INFO - Epoch(train) [208][1600/3757] lr: 8.7705e-03 eta: 20:26:05 time: 0.4083 data_time: 0.0169 memory: 13431 grad_norm: 5.5334 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9900 loss: 1.9900 2022/08/17 00:17:00 - mmengine - INFO - Epoch(train) [208][1700/3757] lr: 8.7705e-03 eta: 20:25:25 time: 0.4143 data_time: 0.0157 memory: 13431 grad_norm: 5.5067 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7503 loss: 1.7503 2022/08/17 00:17:42 - mmengine - INFO - Epoch(train) [208][1800/3757] lr: 8.7705e-03 eta: 20:24:45 time: 0.4108 data_time: 0.0158 memory: 13431 grad_norm: 5.3117 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8118 loss: 1.8118 2022/08/17 00:18:23 - mmengine - INFO - Epoch(train) [208][1900/3757] lr: 8.7705e-03 eta: 20:24:05 time: 0.4130 data_time: 0.0169 memory: 13431 grad_norm: 5.4882 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5467 loss: 1.5467 2022/08/17 00:19:05 - mmengine - INFO - Epoch(train) [208][2000/3757] lr: 8.7705e-03 eta: 20:23:25 time: 0.4091 data_time: 0.0170 memory: 13431 grad_norm: 5.2722 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9344 loss: 1.9344 2022/08/17 00:19:46 - mmengine - INFO - Epoch(train) [208][2100/3757] lr: 8.7705e-03 eta: 20:22:45 time: 0.4075 data_time: 0.0155 memory: 13431 grad_norm: 5.4716 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0003 loss: 2.0003 2022/08/17 00:20:27 - mmengine - INFO - Epoch(train) [208][2200/3757] lr: 8.7705e-03 eta: 20:22:05 time: 0.4061 data_time: 0.0163 memory: 13431 grad_norm: 5.2758 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5646 loss: 1.5646 2022/08/17 00:21:09 - mmengine - INFO - Epoch(train) [208][2300/3757] lr: 8.7705e-03 eta: 20:21:25 time: 0.4063 data_time: 0.0151 memory: 13431 grad_norm: 5.4643 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7934 loss: 1.7934 2022/08/17 00:21:09 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 00:21:50 - mmengine - INFO - Epoch(train) [208][2400/3757] lr: 8.7705e-03 eta: 20:20:44 time: 0.4085 data_time: 0.0163 memory: 13431 grad_norm: 5.3702 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7605 loss: 1.7605 2022/08/17 00:22:31 - mmengine - INFO - Epoch(train) [208][2500/3757] lr: 8.7705e-03 eta: 20:20:04 time: 0.4081 data_time: 0.0153 memory: 13431 grad_norm: 5.5955 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6471 loss: 1.6471 2022/08/17 00:23:12 - mmengine - INFO - Epoch(train) [208][2600/3757] lr: 8.7705e-03 eta: 20:19:24 time: 0.4124 data_time: 0.0156 memory: 13431 grad_norm: 5.4406 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0142 loss: 2.0142 2022/08/17 00:23:54 - mmengine - INFO - Epoch(train) [208][2700/3757] lr: 8.7705e-03 eta: 20:18:44 time: 0.4085 data_time: 0.0159 memory: 13431 grad_norm: 5.5808 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8634 loss: 1.8634 2022/08/17 00:24:35 - mmengine - INFO - Epoch(train) [208][2800/3757] lr: 8.7705e-03 eta: 20:18:04 time: 0.4149 data_time: 0.0167 memory: 13431 grad_norm: 5.5567 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1165 loss: 2.1165 2022/08/17 00:25:17 - mmengine - INFO - Epoch(train) [208][2900/3757] lr: 8.7705e-03 eta: 20:17:24 time: 0.4095 data_time: 0.0161 memory: 13431 grad_norm: 5.5506 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6453 loss: 1.6453 2022/08/17 00:25:58 - mmengine - INFO - Epoch(train) [208][3000/3757] lr: 8.7705e-03 eta: 20:16:44 time: 0.4100 data_time: 0.0166 memory: 13431 grad_norm: 5.2624 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7877 loss: 1.7877 2022/08/17 00:26:39 - mmengine - INFO - Epoch(train) [208][3100/3757] lr: 8.7705e-03 eta: 20:16:04 time: 0.4072 data_time: 0.0147 memory: 13431 grad_norm: 5.4504 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9739 loss: 1.9739 2022/08/17 00:27:20 - mmengine - INFO - Epoch(train) [208][3200/3757] lr: 8.7705e-03 eta: 20:15:24 time: 0.4079 data_time: 0.0165 memory: 13431 grad_norm: 5.4961 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7550 loss: 1.7550 2022/08/17 00:28:02 - mmengine - INFO - Epoch(train) [208][3300/3757] lr: 8.7705e-03 eta: 20:14:43 time: 0.4097 data_time: 0.0160 memory: 13431 grad_norm: 5.4222 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7094 loss: 1.7094 2022/08/17 00:28:02 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 00:28:43 - mmengine - INFO - Epoch(train) [208][3400/3757] lr: 8.7705e-03 eta: 20:14:03 time: 0.4070 data_time: 0.0157 memory: 13431 grad_norm: 5.4959 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7211 loss: 1.7211 2022/08/17 00:29:25 - mmengine - INFO - Epoch(train) [208][3500/3757] lr: 8.7705e-03 eta: 20:13:23 time: 0.4099 data_time: 0.0155 memory: 13431 grad_norm: 5.3624 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9745 loss: 1.9745 2022/08/17 00:30:06 - mmengine - INFO - Epoch(train) [208][3600/3757] lr: 8.7705e-03 eta: 20:12:43 time: 0.4092 data_time: 0.0154 memory: 13431 grad_norm: 5.4008 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5226 loss: 1.5226 2022/08/17 00:30:47 - mmengine - INFO - Epoch(train) [208][3700/3757] lr: 8.7705e-03 eta: 20:12:03 time: 0.4085 data_time: 0.0158 memory: 13431 grad_norm: 5.3989 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8301 loss: 1.8301 2022/08/17 00:31:10 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 00:31:10 - mmengine - INFO - Epoch(train) [208][3757/3757] lr: 8.7705e-03 eta: 20:11:47 time: 0.3952 data_time: 0.0142 memory: 13431 grad_norm: 5.1940 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 1.7877 loss: 1.7877 2022/08/17 00:31:11 - mmengine - INFO - Saving checkpoint at 208 epochs 2022/08/17 00:31:59 - mmengine - INFO - Epoch(train) [209][100/3757] lr: 8.4265e-03 eta: 20:10:59 time: 0.4074 data_time: 0.0154 memory: 13431 grad_norm: 5.3345 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5776 loss: 1.5776 2022/08/17 00:32:41 - mmengine - INFO - Epoch(train) [209][200/3757] lr: 8.4265e-03 eta: 20:10:19 time: 0.4078 data_time: 0.0161 memory: 13431 grad_norm: 5.2871 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6090 loss: 1.6090 2022/08/17 00:33:22 - mmengine - INFO - Epoch(train) [209][300/3757] lr: 8.4265e-03 eta: 20:09:38 time: 0.4117 data_time: 0.0177 memory: 13431 grad_norm: 5.2978 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6518 loss: 1.6518 2022/08/17 00:34:04 - mmengine - INFO - Epoch(train) [209][400/3757] lr: 8.4265e-03 eta: 20:08:58 time: 0.4122 data_time: 0.0164 memory: 13431 grad_norm: 5.5117 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8836 loss: 1.8836 2022/08/17 00:34:45 - mmengine - INFO - Epoch(train) [209][500/3757] lr: 8.4265e-03 eta: 20:08:18 time: 0.4142 data_time: 0.0167 memory: 13431 grad_norm: 5.4564 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9714 loss: 1.9714 2022/08/17 00:35:03 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 00:35:26 - mmengine - INFO - Epoch(train) [209][600/3757] lr: 8.4265e-03 eta: 20:07:38 time: 0.4094 data_time: 0.0168 memory: 13431 grad_norm: 5.2695 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8603 loss: 1.8603 2022/08/17 00:36:08 - mmengine - INFO - Epoch(train) [209][700/3757] lr: 8.4265e-03 eta: 20:06:58 time: 0.4212 data_time: 0.0183 memory: 13431 grad_norm: 5.3544 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7584 loss: 1.7584 2022/08/17 00:36:49 - mmengine - INFO - Epoch(train) [209][800/3757] lr: 8.4265e-03 eta: 20:06:18 time: 0.4070 data_time: 0.0153 memory: 13431 grad_norm: 5.3706 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0215 loss: 2.0215 2022/08/17 00:37:31 - mmengine - INFO - Epoch(train) [209][900/3757] lr: 8.4265e-03 eta: 20:05:38 time: 0.4114 data_time: 0.0149 memory: 13431 grad_norm: 5.6225 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4781 loss: 1.4781 2022/08/17 00:38:12 - mmengine - INFO - Epoch(train) [209][1000/3757] lr: 8.4265e-03 eta: 20:04:58 time: 0.4100 data_time: 0.0163 memory: 13431 grad_norm: 5.6314 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8191 loss: 1.8191 2022/08/17 00:38:54 - mmengine - INFO - Epoch(train) [209][1100/3757] lr: 8.4265e-03 eta: 20:04:18 time: 0.4122 data_time: 0.0159 memory: 13431 grad_norm: 5.4691 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5794 loss: 1.5794 2022/08/17 00:39:35 - mmengine - INFO - Epoch(train) [209][1200/3757] lr: 8.4265e-03 eta: 20:03:37 time: 0.4120 data_time: 0.0162 memory: 13431 grad_norm: 5.5789 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6289 loss: 1.6289 2022/08/17 00:40:16 - mmengine - INFO - Epoch(train) [209][1300/3757] lr: 8.4265e-03 eta: 20:02:57 time: 0.4102 data_time: 0.0173 memory: 13431 grad_norm: 5.3075 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9189 loss: 1.9189 2022/08/17 00:40:57 - mmengine - INFO - Epoch(train) [209][1400/3757] lr: 8.4265e-03 eta: 20:02:17 time: 0.4124 data_time: 0.0163 memory: 13431 grad_norm: 5.4404 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7977 loss: 1.7977 2022/08/17 00:41:39 - mmengine - INFO - Epoch(train) [209][1500/3757] lr: 8.4265e-03 eta: 20:01:37 time: 0.4099 data_time: 0.0158 memory: 13431 grad_norm: 5.3995 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9857 loss: 1.9857 2022/08/17 00:41:57 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 00:42:20 - mmengine - INFO - Epoch(train) [209][1600/3757] lr: 8.4265e-03 eta: 20:00:57 time: 0.4058 data_time: 0.0156 memory: 13431 grad_norm: 5.3664 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1377 loss: 2.1377 2022/08/17 00:43:02 - mmengine - INFO - Epoch(train) [209][1700/3757] lr: 8.4265e-03 eta: 20:00:17 time: 0.4103 data_time: 0.0185 memory: 13431 grad_norm: 5.5681 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6850 loss: 1.6850 2022/08/17 00:43:44 - mmengine - INFO - Epoch(train) [209][1800/3757] lr: 8.4265e-03 eta: 19:59:37 time: 0.4213 data_time: 0.0164 memory: 13431 grad_norm: 5.5542 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9552 loss: 1.9552 2022/08/17 00:44:25 - mmengine - INFO - Epoch(train) [209][1900/3757] lr: 8.4265e-03 eta: 19:58:57 time: 0.4095 data_time: 0.0169 memory: 13431 grad_norm: 5.5831 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7186 loss: 1.7186 2022/08/17 00:45:06 - mmengine - INFO - Epoch(train) [209][2000/3757] lr: 8.4265e-03 eta: 19:58:16 time: 0.4137 data_time: 0.0163 memory: 13431 grad_norm: 5.5227 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8118 loss: 1.8118 2022/08/17 00:45:47 - mmengine - INFO - Epoch(train) [209][2100/3757] lr: 8.4265e-03 eta: 19:57:36 time: 0.4084 data_time: 0.0164 memory: 13431 grad_norm: 5.3216 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8451 loss: 1.8451 2022/08/17 00:46:29 - mmengine - INFO - Epoch(train) [209][2200/3757] lr: 8.4265e-03 eta: 19:56:56 time: 0.4067 data_time: 0.0160 memory: 13431 grad_norm: 5.4296 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6326 loss: 1.6326 2022/08/17 00:47:10 - mmengine - INFO - Epoch(train) [209][2300/3757] lr: 8.4265e-03 eta: 19:56:16 time: 0.4098 data_time: 0.0165 memory: 13431 grad_norm: 5.5730 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8567 loss: 1.8567 2022/08/17 00:47:52 - mmengine - INFO - Epoch(train) [209][2400/3757] lr: 8.4265e-03 eta: 19:55:36 time: 0.4174 data_time: 0.0154 memory: 13431 grad_norm: 5.5036 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7839 loss: 1.7839 2022/08/17 00:48:33 - mmengine - INFO - Epoch(train) [209][2500/3757] lr: 8.4265e-03 eta: 19:54:56 time: 0.4167 data_time: 0.0161 memory: 13431 grad_norm: 5.3131 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0566 loss: 2.0566 2022/08/17 00:48:51 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 00:49:14 - mmengine - INFO - Epoch(train) [209][2600/3757] lr: 8.4265e-03 eta: 19:54:16 time: 0.4178 data_time: 0.0169 memory: 13431 grad_norm: 5.5418 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6161 loss: 1.6161 2022/08/17 00:49:56 - mmengine - INFO - Epoch(train) [209][2700/3757] lr: 8.4265e-03 eta: 19:53:36 time: 0.4099 data_time: 0.0165 memory: 13431 grad_norm: 5.4010 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4774 loss: 1.4774 2022/08/17 00:50:37 - mmengine - INFO - Epoch(train) [209][2800/3757] lr: 8.4265e-03 eta: 19:52:55 time: 0.4105 data_time: 0.0165 memory: 13431 grad_norm: 5.5348 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1100 loss: 2.1100 2022/08/17 00:51:18 - mmengine - INFO - Epoch(train) [209][2900/3757] lr: 8.4265e-03 eta: 19:52:15 time: 0.4112 data_time: 0.0158 memory: 13431 grad_norm: 5.2380 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7614 loss: 1.7614 2022/08/17 00:51:59 - mmengine - INFO - Epoch(train) [209][3000/3757] lr: 8.4265e-03 eta: 19:51:35 time: 0.4078 data_time: 0.0161 memory: 13431 grad_norm: 5.3689 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6576 loss: 1.6576 2022/08/17 00:52:41 - mmengine - INFO - Epoch(train) [209][3100/3757] lr: 8.4265e-03 eta: 19:50:55 time: 0.4055 data_time: 0.0157 memory: 13431 grad_norm: 5.3390 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7525 loss: 1.7525 2022/08/17 00:53:23 - mmengine - INFO - Epoch(train) [209][3200/3757] lr: 8.4265e-03 eta: 19:50:15 time: 0.4172 data_time: 0.0155 memory: 13431 grad_norm: 5.3433 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7763 loss: 1.7763 2022/08/17 00:54:04 - mmengine - INFO - Epoch(train) [209][3300/3757] lr: 8.4265e-03 eta: 19:49:35 time: 0.4136 data_time: 0.0166 memory: 13431 grad_norm: 5.5353 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7120 loss: 1.7120 2022/08/17 00:54:45 - mmengine - INFO - Epoch(train) [209][3400/3757] lr: 8.4265e-03 eta: 19:48:55 time: 0.4135 data_time: 0.0164 memory: 13431 grad_norm: 5.5232 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1213 loss: 2.1213 2022/08/17 00:55:27 - mmengine - INFO - Epoch(train) [209][3500/3757] lr: 8.4265e-03 eta: 19:48:15 time: 0.4158 data_time: 0.0180 memory: 13431 grad_norm: 5.4815 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0149 loss: 2.0149 2022/08/17 00:55:45 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 00:56:08 - mmengine - INFO - Epoch(train) [209][3600/3757] lr: 8.4265e-03 eta: 19:47:35 time: 0.4136 data_time: 0.0168 memory: 13431 grad_norm: 5.6394 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8498 loss: 1.8498 2022/08/17 00:56:49 - mmengine - INFO - Epoch(train) [209][3700/3757] lr: 8.4265e-03 eta: 19:46:54 time: 0.4109 data_time: 0.0167 memory: 13431 grad_norm: 5.5547 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0135 loss: 2.0135 2022/08/17 00:57:13 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 00:57:13 - mmengine - INFO - Epoch(train) [209][3757/3757] lr: 8.4265e-03 eta: 19:46:38 time: 0.3973 data_time: 0.0150 memory: 13431 grad_norm: 5.4299 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.7071 loss: 1.7071 2022/08/17 00:57:57 - mmengine - INFO - Epoch(train) [210][100/3757] lr: 8.0888e-03 eta: 19:45:50 time: 0.4206 data_time: 0.0161 memory: 13431 grad_norm: 5.6530 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 1.6557 loss: 1.6557 2022/08/17 00:58:39 - mmengine - INFO - Epoch(train) [210][200/3757] lr: 8.0888e-03 eta: 19:45:10 time: 0.4172 data_time: 0.0167 memory: 13431 grad_norm: 5.4958 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9632 loss: 1.9632 2022/08/17 00:59:20 - mmengine - INFO - Epoch(train) [210][300/3757] lr: 8.0888e-03 eta: 19:44:30 time: 0.4149 data_time: 0.0162 memory: 13431 grad_norm: 5.5655 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9467 loss: 1.9467 2022/08/17 01:00:01 - mmengine - INFO - Epoch(train) [210][400/3757] lr: 8.0888e-03 eta: 19:43:50 time: 0.4092 data_time: 0.0169 memory: 13431 grad_norm: 5.6147 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0079 loss: 2.0079 2022/08/17 01:00:43 - mmengine - INFO - Epoch(train) [210][500/3757] lr: 8.0888e-03 eta: 19:43:10 time: 0.4081 data_time: 0.0167 memory: 13431 grad_norm: 5.3834 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7286 loss: 1.7286 2022/08/17 01:01:24 - mmengine - INFO - Epoch(train) [210][600/3757] lr: 8.0888e-03 eta: 19:42:30 time: 0.4134 data_time: 0.0168 memory: 13431 grad_norm: 5.4406 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1603 loss: 2.1603 2022/08/17 01:02:05 - mmengine - INFO - Epoch(train) [210][700/3757] lr: 8.0888e-03 eta: 19:41:50 time: 0.4176 data_time: 0.0177 memory: 13431 grad_norm: 5.3953 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.8157 loss: 1.8157 2022/08/17 01:02:41 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 01:02:47 - mmengine - INFO - Epoch(train) [210][800/3757] lr: 8.0888e-03 eta: 19:41:10 time: 0.4219 data_time: 0.0191 memory: 13431 grad_norm: 5.4540 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6107 loss: 1.6107 2022/08/17 01:03:28 - mmengine - INFO - Epoch(train) [210][900/3757] lr: 8.0888e-03 eta: 19:40:29 time: 0.4231 data_time: 0.0170 memory: 13431 grad_norm: 5.4124 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4814 loss: 1.4814 2022/08/17 01:04:09 - mmengine - INFO - Epoch(train) [210][1000/3757] lr: 8.0888e-03 eta: 19:39:49 time: 0.4169 data_time: 0.0171 memory: 13431 grad_norm: 5.6727 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7797 loss: 1.7797 2022/08/17 01:04:51 - mmengine - INFO - Epoch(train) [210][1100/3757] lr: 8.0888e-03 eta: 19:39:09 time: 0.4156 data_time: 0.0162 memory: 13431 grad_norm: 5.5060 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8042 loss: 1.8042 2022/08/17 01:05:32 - mmengine - INFO - Epoch(train) [210][1200/3757] lr: 8.0888e-03 eta: 19:38:29 time: 0.4085 data_time: 0.0150 memory: 13431 grad_norm: 5.6930 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9019 loss: 1.9019 2022/08/17 01:06:13 - mmengine - INFO - Epoch(train) [210][1300/3757] lr: 8.0888e-03 eta: 19:37:49 time: 0.4082 data_time: 0.0161 memory: 13431 grad_norm: 5.5904 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8750 loss: 1.8750 2022/08/17 01:06:55 - mmengine - INFO - Epoch(train) [210][1400/3757] lr: 8.0888e-03 eta: 19:37:09 time: 0.4094 data_time: 0.0169 memory: 13431 grad_norm: 5.7776 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8019 loss: 1.8019 2022/08/17 01:07:36 - mmengine - INFO - Epoch(train) [210][1500/3757] lr: 8.0888e-03 eta: 19:36:29 time: 0.4142 data_time: 0.0174 memory: 13431 grad_norm: 5.8044 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9027 loss: 1.9027 2022/08/17 01:08:17 - mmengine - INFO - Epoch(train) [210][1600/3757] lr: 8.0888e-03 eta: 19:35:48 time: 0.4128 data_time: 0.0168 memory: 13431 grad_norm: 5.7138 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7515 loss: 1.7515 2022/08/17 01:08:59 - mmengine - INFO - Epoch(train) [210][1700/3757] lr: 8.0888e-03 eta: 19:35:08 time: 0.4148 data_time: 0.0167 memory: 13431 grad_norm: 5.4798 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7701 loss: 1.7701 2022/08/17 01:09:35 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 01:09:40 - mmengine - INFO - Epoch(train) [210][1800/3757] lr: 8.0888e-03 eta: 19:34:28 time: 0.4174 data_time: 0.0170 memory: 13431 grad_norm: 5.4690 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6933 loss: 1.6933 2022/08/17 01:10:21 - mmengine - INFO - Epoch(train) [210][1900/3757] lr: 8.0888e-03 eta: 19:33:48 time: 0.4169 data_time: 0.0175 memory: 13431 grad_norm: 5.4993 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7872 loss: 1.7872 2022/08/17 01:11:03 - mmengine - INFO - Epoch(train) [210][2000/3757] lr: 8.0888e-03 eta: 19:33:08 time: 0.4100 data_time: 0.0161 memory: 13431 grad_norm: 5.6022 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7955 loss: 1.7955 2022/08/17 01:11:44 - mmengine - INFO - Epoch(train) [210][2100/3757] lr: 8.0888e-03 eta: 19:32:28 time: 0.4105 data_time: 0.0160 memory: 13431 grad_norm: 5.6547 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7706 loss: 1.7706 2022/08/17 01:12:26 - mmengine - INFO - Epoch(train) [210][2200/3757] lr: 8.0888e-03 eta: 19:31:48 time: 0.4136 data_time: 0.0159 memory: 13431 grad_norm: 5.1859 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4498 loss: 1.4498 2022/08/17 01:13:07 - mmengine - INFO - Epoch(train) [210][2300/3757] lr: 8.0888e-03 eta: 19:31:08 time: 0.4131 data_time: 0.0161 memory: 13431 grad_norm: 5.4599 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9101 loss: 1.9101 2022/08/17 01:13:49 - mmengine - INFO - Epoch(train) [210][2400/3757] lr: 8.0888e-03 eta: 19:30:28 time: 0.4166 data_time: 0.0163 memory: 13431 grad_norm: 5.3876 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7476 loss: 1.7476 2022/08/17 01:14:30 - mmengine - INFO - Epoch(train) [210][2500/3757] lr: 8.0888e-03 eta: 19:29:47 time: 0.4151 data_time: 0.0170 memory: 13431 grad_norm: 5.8000 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1828 loss: 2.1828 2022/08/17 01:15:11 - mmengine - INFO - Epoch(train) [210][2600/3757] lr: 8.0888e-03 eta: 19:29:07 time: 0.4152 data_time: 0.0177 memory: 13431 grad_norm: 5.5630 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5735 loss: 1.5735 2022/08/17 01:15:53 - mmengine - INFO - Epoch(train) [210][2700/3757] lr: 8.0888e-03 eta: 19:28:27 time: 0.4087 data_time: 0.0154 memory: 13431 grad_norm: 5.7328 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8893 loss: 1.8893 2022/08/17 01:16:29 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 01:16:34 - mmengine - INFO - Epoch(train) [210][2800/3757] lr: 8.0888e-03 eta: 19:27:47 time: 0.4071 data_time: 0.0163 memory: 13431 grad_norm: 5.4463 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8714 loss: 1.8714 2022/08/17 01:17:16 - mmengine - INFO - Epoch(train) [210][2900/3757] lr: 8.0888e-03 eta: 19:27:07 time: 0.4125 data_time: 0.0169 memory: 13431 grad_norm: 5.3671 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.5956 loss: 1.5956 2022/08/17 01:17:57 - mmengine - INFO - Epoch(train) [210][3000/3757] lr: 8.0888e-03 eta: 19:26:27 time: 0.4149 data_time: 0.0159 memory: 13431 grad_norm: 5.7357 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7736 loss: 1.7736 2022/08/17 01:18:38 - mmengine - INFO - Epoch(train) [210][3100/3757] lr: 8.0888e-03 eta: 19:25:47 time: 0.4089 data_time: 0.0164 memory: 13431 grad_norm: 5.4642 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9149 loss: 1.9149 2022/08/17 01:19:20 - mmengine - INFO - Epoch(train) [210][3200/3757] lr: 8.0888e-03 eta: 19:25:07 time: 0.4092 data_time: 0.0147 memory: 13431 grad_norm: 5.7517 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9121 loss: 1.9121 2022/08/17 01:20:01 - mmengine - INFO - Epoch(train) [210][3300/3757] lr: 8.0888e-03 eta: 19:24:26 time: 0.4159 data_time: 0.0165 memory: 13431 grad_norm: 5.6309 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7277 loss: 1.7277 2022/08/17 01:20:43 - mmengine - INFO - Epoch(train) [210][3400/3757] lr: 8.0888e-03 eta: 19:23:46 time: 0.4120 data_time: 0.0161 memory: 13431 grad_norm: 5.4601 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6879 loss: 1.6879 2022/08/17 01:21:24 - mmengine - INFO - Epoch(train) [210][3500/3757] lr: 8.0888e-03 eta: 19:23:06 time: 0.4082 data_time: 0.0153 memory: 13431 grad_norm: 5.5378 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5806 loss: 1.5806 2022/08/17 01:22:05 - mmengine - INFO - Epoch(train) [210][3600/3757] lr: 8.0888e-03 eta: 19:22:26 time: 0.4117 data_time: 0.0156 memory: 13431 grad_norm: 5.4377 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7813 loss: 1.7813 2022/08/17 01:22:47 - mmengine - INFO - Epoch(train) [210][3700/3757] lr: 8.0888e-03 eta: 19:21:46 time: 0.4138 data_time: 0.0154 memory: 13431 grad_norm: 5.5562 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9183 loss: 1.9183 2022/08/17 01:23:10 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 01:23:10 - mmengine - INFO - Epoch(train) [210][3757/3757] lr: 8.0888e-03 eta: 19:21:30 time: 0.3975 data_time: 0.0149 memory: 13431 grad_norm: 5.4675 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.8149 loss: 1.8149 2022/08/17 01:23:32 - mmengine - INFO - Epoch(val) [210][100/310] eta: 0:00:42 time: 0.2022 data_time: 0.0747 memory: 1974 2022/08/17 01:23:53 - mmengine - INFO - Epoch(val) [210][200/310] eta: 0:00:21 time: 0.1925 data_time: 0.0630 memory: 1974 2022/08/17 01:24:15 - mmengine - INFO - Epoch(val) [210][300/310] eta: 0:00:02 time: 0.2081 data_time: 0.0785 memory: 1974 2022/08/17 01:24:20 - mmengine - INFO - Epoch(val) [210][310/310] acc/top1: 0.6405 acc/top5: 0.8527 acc/mean1: 0.6404 2022/08/17 01:24:20 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_206.pth is removed 2022/08/17 01:24:24 - mmengine - INFO - The best checkpoint with 0.6405 acc/top1 at 211 epoch is saved to best_acc/top1_epoch_211.pth. 2022/08/17 01:24:38 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 01:25:07 - mmengine - INFO - Epoch(train) [211][100/3757] lr: 7.7573e-03 eta: 19:20:42 time: 0.4082 data_time: 0.0151 memory: 13431 grad_norm: 5.3964 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6833 loss: 1.6833 2022/08/17 01:25:48 - mmengine - INFO - Epoch(train) [211][200/3757] lr: 7.7573e-03 eta: 19:20:01 time: 0.4088 data_time: 0.0155 memory: 13431 grad_norm: 5.3139 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.6710 loss: 1.6710 2022/08/17 01:26:30 - mmengine - INFO - Epoch(train) [211][300/3757] lr: 7.7573e-03 eta: 19:19:21 time: 0.4085 data_time: 0.0167 memory: 13431 grad_norm: 5.5405 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8155 loss: 1.8155 2022/08/17 01:27:11 - mmengine - INFO - Epoch(train) [211][400/3757] lr: 7.7573e-03 eta: 19:18:41 time: 0.4247 data_time: 0.0152 memory: 13431 grad_norm: 5.6002 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9350 loss: 1.9350 2022/08/17 01:27:53 - mmengine - INFO - Epoch(train) [211][500/3757] lr: 7.7573e-03 eta: 19:18:01 time: 0.4130 data_time: 0.0161 memory: 13431 grad_norm: 5.6452 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9698 loss: 1.9698 2022/08/17 01:28:34 - mmengine - INFO - Epoch(train) [211][600/3757] lr: 7.7573e-03 eta: 19:17:21 time: 0.4104 data_time: 0.0157 memory: 13431 grad_norm: 5.5331 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0032 loss: 2.0032 2022/08/17 01:29:15 - mmengine - INFO - Epoch(train) [211][700/3757] lr: 7.7573e-03 eta: 19:16:41 time: 0.4066 data_time: 0.0153 memory: 13431 grad_norm: 5.7847 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0310 loss: 2.0310 2022/08/17 01:29:57 - mmengine - INFO - Epoch(train) [211][800/3757] lr: 7.7573e-03 eta: 19:16:01 time: 0.4176 data_time: 0.0171 memory: 13431 grad_norm: 5.3516 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9359 loss: 1.9359 2022/08/17 01:30:38 - mmengine - INFO - Epoch(train) [211][900/3757] lr: 7.7573e-03 eta: 19:15:21 time: 0.4151 data_time: 0.0160 memory: 13431 grad_norm: 5.6542 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6594 loss: 1.6594 2022/08/17 01:31:19 - mmengine - INFO - Epoch(train) [211][1000/3757] lr: 7.7573e-03 eta: 19:14:40 time: 0.4116 data_time: 0.0179 memory: 13431 grad_norm: 5.5433 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7523 loss: 1.7523 2022/08/17 01:31:31 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 01:32:00 - mmengine - INFO - Epoch(train) [211][1100/3757] lr: 7.7573e-03 eta: 19:14:00 time: 0.4139 data_time: 0.0154 memory: 13431 grad_norm: 5.3993 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7230 loss: 1.7230 2022/08/17 01:32:42 - mmengine - INFO - Epoch(train) [211][1200/3757] lr: 7.7573e-03 eta: 19:13:20 time: 0.4075 data_time: 0.0167 memory: 13431 grad_norm: 5.5941 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6558 loss: 1.6558 2022/08/17 01:33:23 - mmengine - INFO - Epoch(train) [211][1300/3757] lr: 7.7573e-03 eta: 19:12:40 time: 0.4122 data_time: 0.0170 memory: 13431 grad_norm: 5.5017 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5364 loss: 1.5364 2022/08/17 01:34:04 - mmengine - INFO - Epoch(train) [211][1400/3757] lr: 7.7573e-03 eta: 19:12:00 time: 0.4090 data_time: 0.0156 memory: 13431 grad_norm: 5.6106 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6572 loss: 1.6572 2022/08/17 01:34:45 - mmengine - INFO - Epoch(train) [211][1500/3757] lr: 7.7573e-03 eta: 19:11:19 time: 0.4080 data_time: 0.0161 memory: 13431 grad_norm: 5.5928 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9801 loss: 1.9801 2022/08/17 01:35:26 - mmengine - INFO - Epoch(train) [211][1600/3757] lr: 7.7573e-03 eta: 19:10:39 time: 0.4099 data_time: 0.0161 memory: 13431 grad_norm: 5.7251 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6644 loss: 1.6644 2022/08/17 01:36:08 - mmengine - INFO - Epoch(train) [211][1700/3757] lr: 7.7573e-03 eta: 19:09:59 time: 0.4126 data_time: 0.0174 memory: 13431 grad_norm: 5.5517 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7565 loss: 1.7565 2022/08/17 01:36:49 - mmengine - INFO - Epoch(train) [211][1800/3757] lr: 7.7573e-03 eta: 19:09:19 time: 0.4104 data_time: 0.0156 memory: 13431 grad_norm: 5.3960 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4570 loss: 1.4570 2022/08/17 01:37:30 - mmengine - INFO - Epoch(train) [211][1900/3757] lr: 7.7573e-03 eta: 19:08:39 time: 0.4082 data_time: 0.0158 memory: 13431 grad_norm: 5.6090 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7319 loss: 1.7319 2022/08/17 01:38:12 - mmengine - INFO - Epoch(train) [211][2000/3757] lr: 7.7573e-03 eta: 19:07:59 time: 0.4055 data_time: 0.0154 memory: 13431 grad_norm: 5.7498 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6225 loss: 1.6225 2022/08/17 01:38:24 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 01:38:53 - mmengine - INFO - Epoch(train) [211][2100/3757] lr: 7.7573e-03 eta: 19:07:18 time: 0.4081 data_time: 0.0150 memory: 13431 grad_norm: 5.6874 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8536 loss: 1.8536 2022/08/17 01:39:34 - mmengine - INFO - Epoch(train) [211][2200/3757] lr: 7.7573e-03 eta: 19:06:38 time: 0.4068 data_time: 0.0161 memory: 13431 grad_norm: 5.5519 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6894 loss: 1.6894 2022/08/17 01:40:15 - mmengine - INFO - Epoch(train) [211][2300/3757] lr: 7.7573e-03 eta: 19:05:58 time: 0.4109 data_time: 0.0165 memory: 13431 grad_norm: 5.7942 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.5889 loss: 1.5889 2022/08/17 01:40:56 - mmengine - INFO - Epoch(train) [211][2400/3757] lr: 7.7573e-03 eta: 19:05:18 time: 0.4094 data_time: 0.0146 memory: 13431 grad_norm: 5.7408 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8461 loss: 1.8461 2022/08/17 01:41:38 - mmengine - INFO - Epoch(train) [211][2500/3757] lr: 7.7573e-03 eta: 19:04:38 time: 0.4117 data_time: 0.0151 memory: 13431 grad_norm: 5.6280 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9220 loss: 1.9220 2022/08/17 01:42:19 - mmengine - INFO - Epoch(train) [211][2600/3757] lr: 7.7573e-03 eta: 19:03:58 time: 0.4119 data_time: 0.0163 memory: 13431 grad_norm: 5.6372 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8835 loss: 1.8835 2022/08/17 01:43:01 - mmengine - INFO - Epoch(train) [211][2700/3757] lr: 7.7573e-03 eta: 19:03:18 time: 0.4084 data_time: 0.0158 memory: 13431 grad_norm: 5.6740 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7069 loss: 1.7069 2022/08/17 01:43:42 - mmengine - INFO - Epoch(train) [211][2800/3757] lr: 7.7573e-03 eta: 19:02:37 time: 0.4061 data_time: 0.0154 memory: 13431 grad_norm: 5.7153 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0389 loss: 2.0389 2022/08/17 01:44:23 - mmengine - INFO - Epoch(train) [211][2900/3757] lr: 7.7573e-03 eta: 19:01:57 time: 0.4079 data_time: 0.0161 memory: 13431 grad_norm: 5.5700 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8232 loss: 1.8232 2022/08/17 01:45:04 - mmengine - INFO - Epoch(train) [211][3000/3757] lr: 7.7573e-03 eta: 19:01:17 time: 0.4117 data_time: 0.0155 memory: 13431 grad_norm: 5.8729 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8075 loss: 1.8075 2022/08/17 01:45:17 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 01:45:46 - mmengine - INFO - Epoch(train) [211][3100/3757] lr: 7.7573e-03 eta: 19:00:37 time: 0.4090 data_time: 0.0156 memory: 13431 grad_norm: 5.6291 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9083 loss: 1.9083 2022/08/17 01:46:27 - mmengine - INFO - Epoch(train) [211][3200/3757] lr: 7.7573e-03 eta: 18:59:57 time: 0.4182 data_time: 0.0159 memory: 13431 grad_norm: 5.6530 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6563 loss: 1.6563 2022/08/17 01:47:08 - mmengine - INFO - Epoch(train) [211][3300/3757] lr: 7.7573e-03 eta: 18:59:17 time: 0.4075 data_time: 0.0154 memory: 13431 grad_norm: 5.5310 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7210 loss: 1.7210 2022/08/17 01:47:50 - mmengine - INFO - Epoch(train) [211][3400/3757] lr: 7.7573e-03 eta: 18:58:37 time: 0.4118 data_time: 0.0161 memory: 13431 grad_norm: 5.6429 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7405 loss: 1.7405 2022/08/17 01:48:31 - mmengine - INFO - Epoch(train) [211][3500/3757] lr: 7.7573e-03 eta: 18:57:56 time: 0.4141 data_time: 0.0162 memory: 13431 grad_norm: 5.5555 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8783 loss: 1.8783 2022/08/17 01:49:12 - mmengine - INFO - Epoch(train) [211][3600/3757] lr: 7.7573e-03 eta: 18:57:16 time: 0.4133 data_time: 0.0175 memory: 13431 grad_norm: 5.7817 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9042 loss: 1.9042 2022/08/17 01:49:54 - mmengine - INFO - Epoch(train) [211][3700/3757] lr: 7.7573e-03 eta: 18:56:36 time: 0.4193 data_time: 0.0173 memory: 13431 grad_norm: 5.7772 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9748 loss: 1.9748 2022/08/17 01:50:17 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 01:50:17 - mmengine - INFO - Epoch(train) [211][3757/3757] lr: 7.7573e-03 eta: 18:56:20 time: 0.3949 data_time: 0.0141 memory: 13431 grad_norm: 5.3785 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.9526 loss: 1.9526 2022/08/17 01:51:01 - mmengine - INFO - Epoch(train) [212][100/3757] lr: 7.4322e-03 eta: 18:55:32 time: 0.4087 data_time: 0.0168 memory: 13431 grad_norm: 5.6315 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7821 loss: 1.7821 2022/08/17 01:51:43 - mmengine - INFO - Epoch(train) [212][200/3757] lr: 7.4322e-03 eta: 18:54:52 time: 0.4172 data_time: 0.0152 memory: 13431 grad_norm: 5.6220 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6332 loss: 1.6332 2022/08/17 01:52:13 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 01:52:25 - mmengine - INFO - Epoch(train) [212][300/3757] lr: 7.4322e-03 eta: 18:54:12 time: 0.4169 data_time: 0.0174 memory: 13431 grad_norm: 5.5531 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5884 loss: 1.5884 2022/08/17 01:53:06 - mmengine - INFO - Epoch(train) [212][400/3757] lr: 7.4322e-03 eta: 18:53:32 time: 0.4110 data_time: 0.0178 memory: 13431 grad_norm: 5.8186 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6569 loss: 1.6569 2022/08/17 01:53:47 - mmengine - INFO - Epoch(train) [212][500/3757] lr: 7.4322e-03 eta: 18:52:52 time: 0.4084 data_time: 0.0158 memory: 13431 grad_norm: 5.7398 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0682 loss: 2.0682 2022/08/17 01:54:29 - mmengine - INFO - Epoch(train) [212][600/3757] lr: 7.4322e-03 eta: 18:52:12 time: 0.4263 data_time: 0.0155 memory: 13431 grad_norm: 5.5704 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5443 loss: 1.5443 2022/08/17 01:55:10 - mmengine - INFO - Epoch(train) [212][700/3757] lr: 7.4322e-03 eta: 18:51:31 time: 0.4151 data_time: 0.0165 memory: 13431 grad_norm: 5.5890 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7241 loss: 1.7241 2022/08/17 01:55:52 - mmengine - INFO - Epoch(train) [212][800/3757] lr: 7.4322e-03 eta: 18:50:51 time: 0.4137 data_time: 0.0161 memory: 13431 grad_norm: 5.6458 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5836 loss: 1.5836 2022/08/17 01:56:33 - mmengine - INFO - Epoch(train) [212][900/3757] lr: 7.4322e-03 eta: 18:50:11 time: 0.4206 data_time: 0.0154 memory: 13431 grad_norm: 5.4495 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7044 loss: 1.7044 2022/08/17 01:57:15 - mmengine - INFO - Epoch(train) [212][1000/3757] lr: 7.4322e-03 eta: 18:49:31 time: 0.4251 data_time: 0.0168 memory: 13431 grad_norm: 5.7404 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9487 loss: 1.9487 2022/08/17 01:57:57 - mmengine - INFO - Epoch(train) [212][1100/3757] lr: 7.4322e-03 eta: 18:48:51 time: 0.4111 data_time: 0.0148 memory: 13431 grad_norm: 5.7088 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5147 loss: 1.5147 2022/08/17 01:58:38 - mmengine - INFO - Epoch(train) [212][1200/3757] lr: 7.4322e-03 eta: 18:48:11 time: 0.4122 data_time: 0.0161 memory: 13431 grad_norm: 6.0050 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7632 loss: 1.7632 2022/08/17 01:59:08 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 01:59:20 - mmengine - INFO - Epoch(train) [212][1300/3757] lr: 7.4322e-03 eta: 18:47:31 time: 0.4184 data_time: 0.0162 memory: 13431 grad_norm: 5.6805 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6465 loss: 1.6465 2022/08/17 02:00:01 - mmengine - INFO - Epoch(train) [212][1400/3757] lr: 7.4322e-03 eta: 18:46:51 time: 0.4150 data_time: 0.0164 memory: 13431 grad_norm: 5.5943 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7945 loss: 1.7945 2022/08/17 02:00:44 - mmengine - INFO - Epoch(train) [212][1500/3757] lr: 7.4322e-03 eta: 18:46:11 time: 0.4176 data_time: 0.0167 memory: 13431 grad_norm: 5.5296 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7231 loss: 1.7231 2022/08/17 02:01:26 - mmengine - INFO - Epoch(train) [212][1600/3757] lr: 7.4322e-03 eta: 18:45:31 time: 0.4188 data_time: 0.0173 memory: 13431 grad_norm: 5.6470 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1999 loss: 2.1999 2022/08/17 02:02:07 - mmengine - INFO - Epoch(train) [212][1700/3757] lr: 7.4322e-03 eta: 18:44:51 time: 0.4079 data_time: 0.0154 memory: 13431 grad_norm: 5.5025 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8752 loss: 1.8752 2022/08/17 02:02:49 - mmengine - INFO - Epoch(train) [212][1800/3757] lr: 7.4322e-03 eta: 18:44:10 time: 0.4069 data_time: 0.0149 memory: 13431 grad_norm: 5.6109 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7764 loss: 1.7764 2022/08/17 02:03:30 - mmengine - INFO - Epoch(train) [212][1900/3757] lr: 7.4322e-03 eta: 18:43:30 time: 0.4109 data_time: 0.0164 memory: 13431 grad_norm: 5.7467 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4146 loss: 1.4146 2022/08/17 02:04:12 - mmengine - INFO - Epoch(train) [212][2000/3757] lr: 7.4322e-03 eta: 18:42:50 time: 0.4089 data_time: 0.0159 memory: 13431 grad_norm: 5.4577 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6567 loss: 1.6567 2022/08/17 02:04:53 - mmengine - INFO - Epoch(train) [212][2100/3757] lr: 7.4322e-03 eta: 18:42:10 time: 0.4162 data_time: 0.0164 memory: 13431 grad_norm: 5.6863 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0686 loss: 2.0686 2022/08/17 02:05:35 - mmengine - INFO - Epoch(train) [212][2200/3757] lr: 7.4322e-03 eta: 18:41:30 time: 0.4100 data_time: 0.0169 memory: 13431 grad_norm: 5.6686 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6566 loss: 1.6566 2022/08/17 02:06:06 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 02:06:17 - mmengine - INFO - Epoch(train) [212][2300/3757] lr: 7.4322e-03 eta: 18:40:50 time: 0.4170 data_time: 0.0159 memory: 13431 grad_norm: 5.4644 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6818 loss: 1.6818 2022/08/17 02:06:58 - mmengine - INFO - Epoch(train) [212][2400/3757] lr: 7.4322e-03 eta: 18:40:10 time: 0.4159 data_time: 0.0157 memory: 13431 grad_norm: 5.8321 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6695 loss: 1.6695 2022/08/17 02:07:40 - mmengine - INFO - Epoch(train) [212][2500/3757] lr: 7.4322e-03 eta: 18:39:30 time: 0.4071 data_time: 0.0154 memory: 13431 grad_norm: 5.6897 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8019 loss: 1.8019 2022/08/17 02:08:21 - mmengine - INFO - Epoch(train) [212][2600/3757] lr: 7.4322e-03 eta: 18:38:50 time: 0.4156 data_time: 0.0177 memory: 13431 grad_norm: 5.4656 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8339 loss: 1.8339 2022/08/17 02:09:03 - mmengine - INFO - Epoch(train) [212][2700/3757] lr: 7.4322e-03 eta: 18:38:09 time: 0.4255 data_time: 0.0164 memory: 13431 grad_norm: 5.8096 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9078 loss: 1.9078 2022/08/17 02:09:44 - mmengine - INFO - Epoch(train) [212][2800/3757] lr: 7.4322e-03 eta: 18:37:29 time: 0.4098 data_time: 0.0166 memory: 13431 grad_norm: 5.6902 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8400 loss: 1.8400 2022/08/17 02:10:25 - mmengine - INFO - Epoch(train) [212][2900/3757] lr: 7.4322e-03 eta: 18:36:49 time: 0.4083 data_time: 0.0153 memory: 13431 grad_norm: 5.5789 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7473 loss: 1.7473 2022/08/17 02:11:07 - mmengine - INFO - Epoch(train) [212][3000/3757] lr: 7.4322e-03 eta: 18:36:09 time: 0.4189 data_time: 0.0164 memory: 13431 grad_norm: 5.7415 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5668 loss: 1.5668 2022/08/17 02:11:49 - mmengine - INFO - Epoch(train) [212][3100/3757] lr: 7.4322e-03 eta: 18:35:29 time: 0.4162 data_time: 0.0164 memory: 13431 grad_norm: 6.0106 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8979 loss: 1.8979 2022/08/17 02:12:30 - mmengine - INFO - Epoch(train) [212][3200/3757] lr: 7.4322e-03 eta: 18:34:49 time: 0.4129 data_time: 0.0153 memory: 13431 grad_norm: 5.7681 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8845 loss: 1.8845 2022/08/17 02:13:00 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 02:13:11 - mmengine - INFO - Epoch(train) [212][3300/3757] lr: 7.4322e-03 eta: 18:34:09 time: 0.4096 data_time: 0.0149 memory: 13431 grad_norm: 5.6766 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8044 loss: 1.8044 2022/08/17 02:13:53 - mmengine - INFO - Epoch(train) [212][3400/3757] lr: 7.4322e-03 eta: 18:33:29 time: 0.4105 data_time: 0.0162 memory: 13431 grad_norm: 5.7348 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7009 loss: 1.7009 2022/08/17 02:14:35 - mmengine - INFO - Epoch(train) [212][3500/3757] lr: 7.4322e-03 eta: 18:32:49 time: 0.4278 data_time: 0.0182 memory: 13431 grad_norm: 5.5852 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6342 loss: 1.6342 2022/08/17 02:15:16 - mmengine - INFO - Epoch(train) [212][3600/3757] lr: 7.4322e-03 eta: 18:32:08 time: 0.4089 data_time: 0.0157 memory: 13431 grad_norm: 5.6344 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6854 loss: 1.6854 2022/08/17 02:15:58 - mmengine - INFO - Epoch(train) [212][3700/3757] lr: 7.4322e-03 eta: 18:31:28 time: 0.4193 data_time: 0.0164 memory: 13431 grad_norm: 5.9551 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8949 loss: 1.8949 2022/08/17 02:16:22 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 02:16:22 - mmengine - INFO - Epoch(train) [212][3757/3757] lr: 7.4322e-03 eta: 18:31:12 time: 0.4048 data_time: 0.0142 memory: 13431 grad_norm: 5.9499 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.9402 loss: 1.9402 2022/08/17 02:16:22 - mmengine - INFO - Saving checkpoint at 212 epochs 2022/08/17 02:17:10 - mmengine - INFO - Epoch(train) [213][100/3757] lr: 7.1136e-03 eta: 18:30:24 time: 0.4087 data_time: 0.0179 memory: 13431 grad_norm: 5.6867 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5806 loss: 1.5806 2022/08/17 02:17:52 - mmengine - INFO - Epoch(train) [213][200/3757] lr: 7.1136e-03 eta: 18:29:44 time: 0.4184 data_time: 0.0163 memory: 13431 grad_norm: 5.7459 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6219 loss: 1.6219 2022/08/17 02:18:34 - mmengine - INFO - Epoch(train) [213][300/3757] lr: 7.1136e-03 eta: 18:29:04 time: 0.4201 data_time: 0.0179 memory: 13431 grad_norm: 5.6859 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8075 loss: 1.8075 2022/08/17 02:19:15 - mmengine - INFO - Epoch(train) [213][400/3757] lr: 7.1136e-03 eta: 18:28:24 time: 0.4109 data_time: 0.0169 memory: 13431 grad_norm: 5.7359 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7426 loss: 1.7426 2022/08/17 02:19:56 - mmengine - INFO - Epoch(train) [213][500/3757] lr: 7.1136e-03 eta: 18:27:44 time: 0.4099 data_time: 0.0159 memory: 13431 grad_norm: 5.6915 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9795 loss: 1.9795 2022/08/17 02:20:03 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 02:20:38 - mmengine - INFO - Epoch(train) [213][600/3757] lr: 7.1136e-03 eta: 18:27:03 time: 0.4133 data_time: 0.0171 memory: 13431 grad_norm: 5.7669 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7937 loss: 1.7937 2022/08/17 02:21:19 - mmengine - INFO - Epoch(train) [213][700/3757] lr: 7.1136e-03 eta: 18:26:23 time: 0.4127 data_time: 0.0155 memory: 13431 grad_norm: 5.6098 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8042 loss: 1.8042 2022/08/17 02:22:01 - mmengine - INFO - Epoch(train) [213][800/3757] lr: 7.1136e-03 eta: 18:25:43 time: 0.4091 data_time: 0.0152 memory: 13431 grad_norm: 5.6903 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8232 loss: 1.8232 2022/08/17 02:22:43 - mmengine - INFO - Epoch(train) [213][900/3757] lr: 7.1136e-03 eta: 18:25:03 time: 0.4071 data_time: 0.0157 memory: 13431 grad_norm: 5.8793 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6923 loss: 1.6923 2022/08/17 02:23:25 - mmengine - INFO - Epoch(train) [213][1000/3757] lr: 7.1136e-03 eta: 18:24:23 time: 0.4110 data_time: 0.0165 memory: 13431 grad_norm: 5.5652 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6471 loss: 1.6471 2022/08/17 02:24:06 - mmengine - INFO - Epoch(train) [213][1100/3757] lr: 7.1136e-03 eta: 18:23:43 time: 0.4118 data_time: 0.0154 memory: 13431 grad_norm: 5.8137 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9385 loss: 1.9385 2022/08/17 02:24:48 - mmengine - INFO - Epoch(train) [213][1200/3757] lr: 7.1136e-03 eta: 18:23:03 time: 0.4166 data_time: 0.0163 memory: 13431 grad_norm: 5.8702 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9995 loss: 1.9995 2022/08/17 02:25:29 - mmengine - INFO - Epoch(train) [213][1300/3757] lr: 7.1136e-03 eta: 18:22:23 time: 0.4174 data_time: 0.0183 memory: 13431 grad_norm: 5.5670 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7364 loss: 1.7364 2022/08/17 02:26:10 - mmengine - INFO - Epoch(train) [213][1400/3757] lr: 7.1136e-03 eta: 18:21:43 time: 0.4102 data_time: 0.0159 memory: 13431 grad_norm: 5.7958 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7354 loss: 1.7354 2022/08/17 02:26:52 - mmengine - INFO - Epoch(train) [213][1500/3757] lr: 7.1136e-03 eta: 18:21:02 time: 0.4079 data_time: 0.0160 memory: 13431 grad_norm: 5.4456 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3818 loss: 1.3818 2022/08/17 02:26:58 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 02:27:33 - mmengine - INFO - Epoch(train) [213][1600/3757] lr: 7.1136e-03 eta: 18:20:22 time: 0.4113 data_time: 0.0159 memory: 13431 grad_norm: 5.6062 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5303 loss: 1.5303 2022/08/17 02:28:14 - mmengine - INFO - Epoch(train) [213][1700/3757] lr: 7.1136e-03 eta: 18:19:42 time: 0.4106 data_time: 0.0169 memory: 13431 grad_norm: 5.6936 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8879 loss: 1.8879 2022/08/17 02:28:56 - mmengine - INFO - Epoch(train) [213][1800/3757] lr: 7.1136e-03 eta: 18:19:02 time: 0.4125 data_time: 0.0182 memory: 13431 grad_norm: 5.7843 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8155 loss: 1.8155 2022/08/17 02:29:37 - mmengine - INFO - Epoch(train) [213][1900/3757] lr: 7.1136e-03 eta: 18:18:22 time: 0.4085 data_time: 0.0151 memory: 13431 grad_norm: 5.8054 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0180 loss: 2.0180 2022/08/17 02:30:19 - mmengine - INFO - Epoch(train) [213][2000/3757] lr: 7.1136e-03 eta: 18:17:42 time: 0.4166 data_time: 0.0161 memory: 13431 grad_norm: 5.7551 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4961 loss: 1.4961 2022/08/17 02:31:00 - mmengine - INFO - Epoch(train) [213][2100/3757] lr: 7.1136e-03 eta: 18:17:01 time: 0.4067 data_time: 0.0162 memory: 13431 grad_norm: 5.8408 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0215 loss: 2.0215 2022/08/17 02:31:42 - mmengine - INFO - Epoch(train) [213][2200/3757] lr: 7.1136e-03 eta: 18:16:21 time: 0.4114 data_time: 0.0148 memory: 13431 grad_norm: 5.9436 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8751 loss: 1.8751 2022/08/17 02:32:23 - mmengine - INFO - Epoch(train) [213][2300/3757] lr: 7.1136e-03 eta: 18:15:41 time: 0.4075 data_time: 0.0154 memory: 13431 grad_norm: 5.7720 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9167 loss: 1.9167 2022/08/17 02:33:04 - mmengine - INFO - Epoch(train) [213][2400/3757] lr: 7.1136e-03 eta: 18:15:01 time: 0.4116 data_time: 0.0166 memory: 13431 grad_norm: 5.7070 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7616 loss: 1.7616 2022/08/17 02:33:45 - mmengine - INFO - Epoch(train) [213][2500/3757] lr: 7.1136e-03 eta: 18:14:21 time: 0.4109 data_time: 0.0167 memory: 13431 grad_norm: 5.9091 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8883 loss: 1.8883 2022/08/17 02:33:52 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 02:34:27 - mmengine - INFO - Epoch(train) [213][2600/3757] lr: 7.1136e-03 eta: 18:13:41 time: 0.4108 data_time: 0.0166 memory: 13431 grad_norm: 5.7672 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8960 loss: 1.8960 2022/08/17 02:35:08 - mmengine - INFO - Epoch(train) [213][2700/3757] lr: 7.1136e-03 eta: 18:13:00 time: 0.4143 data_time: 0.0161 memory: 13431 grad_norm: 5.7856 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8081 loss: 1.8081 2022/08/17 02:35:49 - mmengine - INFO - Epoch(train) [213][2800/3757] lr: 7.1136e-03 eta: 18:12:20 time: 0.4082 data_time: 0.0158 memory: 13431 grad_norm: 5.7122 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6754 loss: 1.6754 2022/08/17 02:36:31 - mmengine - INFO - Epoch(train) [213][2900/3757] lr: 7.1136e-03 eta: 18:11:40 time: 0.4093 data_time: 0.0171 memory: 13431 grad_norm: 5.8095 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9319 loss: 1.9319 2022/08/17 02:37:12 - mmengine - INFO - Epoch(train) [213][3000/3757] lr: 7.1136e-03 eta: 18:11:00 time: 0.4077 data_time: 0.0158 memory: 13431 grad_norm: 5.9301 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9086 loss: 1.9086 2022/08/17 02:37:53 - mmengine - INFO - Epoch(train) [213][3100/3757] lr: 7.1136e-03 eta: 18:10:20 time: 0.4073 data_time: 0.0149 memory: 13431 grad_norm: 5.7824 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8839 loss: 1.8839 2022/08/17 02:38:35 - mmengine - INFO - Epoch(train) [213][3200/3757] lr: 7.1136e-03 eta: 18:09:40 time: 0.4203 data_time: 0.0172 memory: 13431 grad_norm: 5.7407 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6988 loss: 1.6988 2022/08/17 02:39:16 - mmengine - INFO - Epoch(train) [213][3300/3757] lr: 7.1136e-03 eta: 18:08:59 time: 0.4123 data_time: 0.0166 memory: 13431 grad_norm: 5.9114 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5912 loss: 1.5912 2022/08/17 02:39:58 - mmengine - INFO - Epoch(train) [213][3400/3757] lr: 7.1136e-03 eta: 18:08:19 time: 0.4149 data_time: 0.0150 memory: 13431 grad_norm: 5.7268 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8900 loss: 1.8900 2022/08/17 02:40:39 - mmengine - INFO - Epoch(train) [213][3500/3757] lr: 7.1136e-03 eta: 18:07:39 time: 0.4068 data_time: 0.0173 memory: 13431 grad_norm: 5.9062 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0504 loss: 2.0504 2022/08/17 02:40:46 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 02:41:21 - mmengine - INFO - Epoch(train) [213][3600/3757] lr: 7.1136e-03 eta: 18:06:59 time: 0.4061 data_time: 0.0159 memory: 13431 grad_norm: 5.7719 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6471 loss: 1.6471 2022/08/17 02:42:02 - mmengine - INFO - Epoch(train) [213][3700/3757] lr: 7.1136e-03 eta: 18:06:19 time: 0.4105 data_time: 0.0153 memory: 13431 grad_norm: 5.6850 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7594 loss: 1.7594 2022/08/17 02:42:25 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 02:42:25 - mmengine - INFO - Epoch(train) [213][3757/3757] lr: 7.1136e-03 eta: 18:06:03 time: 0.4005 data_time: 0.0154 memory: 13431 grad_norm: 5.7540 top1_acc: 0.2857 top5_acc: 1.0000 loss_cls: 1.8184 loss: 1.8184 2022/08/17 02:43:09 - mmengine - INFO - Epoch(train) [214][100/3757] lr: 6.8014e-03 eta: 18:05:15 time: 0.4109 data_time: 0.0159 memory: 13431 grad_norm: 5.6889 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7880 loss: 1.7880 2022/08/17 02:43:50 - mmengine - INFO - Epoch(train) [214][200/3757] lr: 6.8014e-03 eta: 18:04:35 time: 0.4099 data_time: 0.0159 memory: 13431 grad_norm: 5.7720 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9316 loss: 1.9316 2022/08/17 02:44:32 - mmengine - INFO - Epoch(train) [214][300/3757] lr: 6.8014e-03 eta: 18:03:54 time: 0.4086 data_time: 0.0161 memory: 13431 grad_norm: 5.6439 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3592 loss: 1.3592 2022/08/17 02:45:13 - mmengine - INFO - Epoch(train) [214][400/3757] lr: 6.8014e-03 eta: 18:03:14 time: 0.4123 data_time: 0.0160 memory: 13431 grad_norm: 6.0347 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7704 loss: 1.7704 2022/08/17 02:45:55 - mmengine - INFO - Epoch(train) [214][500/3757] lr: 6.8014e-03 eta: 18:02:34 time: 0.4159 data_time: 0.0170 memory: 13431 grad_norm: 5.7903 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6473 loss: 1.6473 2022/08/17 02:46:36 - mmengine - INFO - Epoch(train) [214][600/3757] lr: 6.8014e-03 eta: 18:01:54 time: 0.4134 data_time: 0.0167 memory: 13431 grad_norm: 5.9536 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8145 loss: 1.8145 2022/08/17 02:47:17 - mmengine - INFO - Epoch(train) [214][700/3757] lr: 6.8014e-03 eta: 18:01:14 time: 0.4131 data_time: 0.0169 memory: 13431 grad_norm: 5.7622 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6601 loss: 1.6601 2022/08/17 02:47:42 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 02:47:59 - mmengine - INFO - Epoch(train) [214][800/3757] lr: 6.8014e-03 eta: 18:00:34 time: 0.4218 data_time: 0.0152 memory: 13431 grad_norm: 5.6700 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7151 loss: 1.7151 2022/08/17 02:48:40 - mmengine - INFO - Epoch(train) [214][900/3757] lr: 6.8014e-03 eta: 17:59:54 time: 0.4191 data_time: 0.0172 memory: 13431 grad_norm: 5.7557 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7082 loss: 1.7082 2022/08/17 02:49:22 - mmengine - INFO - Epoch(train) [214][1000/3757] lr: 6.8014e-03 eta: 17:59:13 time: 0.4080 data_time: 0.0157 memory: 13431 grad_norm: 5.8306 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.6619 loss: 1.6619 2022/08/17 02:50:03 - mmengine - INFO - Epoch(train) [214][1100/3757] lr: 6.8014e-03 eta: 17:58:33 time: 0.4092 data_time: 0.0154 memory: 13431 grad_norm: 5.7267 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5756 loss: 1.5756 2022/08/17 02:50:45 - mmengine - INFO - Epoch(train) [214][1200/3757] lr: 6.8014e-03 eta: 17:57:53 time: 0.4083 data_time: 0.0156 memory: 13431 grad_norm: 5.6423 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5801 loss: 1.5801 2022/08/17 02:51:26 - mmengine - INFO - Epoch(train) [214][1300/3757] lr: 6.8014e-03 eta: 17:57:13 time: 0.4100 data_time: 0.0151 memory: 13431 grad_norm: 5.6678 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6082 loss: 1.6082 2022/08/17 02:52:08 - mmengine - INFO - Epoch(train) [214][1400/3757] lr: 6.8014e-03 eta: 17:56:33 time: 0.4117 data_time: 0.0168 memory: 13431 grad_norm: 6.0285 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1687 loss: 2.1687 2022/08/17 02:52:49 - mmengine - INFO - Epoch(train) [214][1500/3757] lr: 6.8014e-03 eta: 17:55:53 time: 0.4165 data_time: 0.0158 memory: 13431 grad_norm: 5.8556 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8995 loss: 1.8995 2022/08/17 02:53:30 - mmengine - INFO - Epoch(train) [214][1600/3757] lr: 6.8014e-03 eta: 17:55:12 time: 0.4126 data_time: 0.0163 memory: 13431 grad_norm: 5.7306 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5551 loss: 1.5551 2022/08/17 02:54:12 - mmengine - INFO - Epoch(train) [214][1700/3757] lr: 6.8014e-03 eta: 17:54:32 time: 0.4099 data_time: 0.0172 memory: 13431 grad_norm: 6.1680 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5774 loss: 1.5774 2022/08/17 02:54:36 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 02:54:53 - mmengine - INFO - Epoch(train) [214][1800/3757] lr: 6.8014e-03 eta: 17:53:52 time: 0.4067 data_time: 0.0154 memory: 13431 grad_norm: 5.9807 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7271 loss: 1.7271 2022/08/17 02:55:35 - mmengine - INFO - Epoch(train) [214][1900/3757] lr: 6.8014e-03 eta: 17:53:12 time: 0.4085 data_time: 0.0158 memory: 13431 grad_norm: 5.7285 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7530 loss: 1.7530 2022/08/17 02:56:16 - mmengine - INFO - Epoch(train) [214][2000/3757] lr: 6.8014e-03 eta: 17:52:32 time: 0.4143 data_time: 0.0159 memory: 13431 grad_norm: 5.7874 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4431 loss: 1.4431 2022/08/17 02:56:57 - mmengine - INFO - Epoch(train) [214][2100/3757] lr: 6.8014e-03 eta: 17:51:52 time: 0.4134 data_time: 0.0182 memory: 13431 grad_norm: 5.8606 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7737 loss: 1.7737 2022/08/17 02:57:39 - mmengine - INFO - Epoch(train) [214][2200/3757] lr: 6.8014e-03 eta: 17:51:11 time: 0.4172 data_time: 0.0172 memory: 13431 grad_norm: 5.9274 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6260 loss: 1.6260 2022/08/17 02:58:20 - mmengine - INFO - Epoch(train) [214][2300/3757] lr: 6.8014e-03 eta: 17:50:31 time: 0.4096 data_time: 0.0161 memory: 13431 grad_norm: 6.1870 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1446 loss: 2.1446 2022/08/17 02:59:01 - mmengine - INFO - Epoch(train) [214][2400/3757] lr: 6.8014e-03 eta: 17:49:51 time: 0.4098 data_time: 0.0164 memory: 13431 grad_norm: 5.7854 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9644 loss: 1.9644 2022/08/17 02:59:42 - mmengine - INFO - Epoch(train) [214][2500/3757] lr: 6.8014e-03 eta: 17:49:11 time: 0.4098 data_time: 0.0171 memory: 13431 grad_norm: 5.8720 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7435 loss: 1.7435 2022/08/17 03:00:24 - mmengine - INFO - Epoch(train) [214][2600/3757] lr: 6.8014e-03 eta: 17:48:31 time: 0.4089 data_time: 0.0159 memory: 13431 grad_norm: 5.6264 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6815 loss: 1.6815 2022/08/17 03:01:05 - mmengine - INFO - Epoch(train) [214][2700/3757] lr: 6.8014e-03 eta: 17:47:51 time: 0.4089 data_time: 0.0165 memory: 13431 grad_norm: 6.0087 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0627 loss: 2.0627 2022/08/17 03:01:29 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 03:01:46 - mmengine - INFO - Epoch(train) [214][2800/3757] lr: 6.8014e-03 eta: 17:47:10 time: 0.4091 data_time: 0.0153 memory: 13431 grad_norm: 6.0472 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6246 loss: 1.6246 2022/08/17 03:02:27 - mmengine - INFO - Epoch(train) [214][2900/3757] lr: 6.8014e-03 eta: 17:46:30 time: 0.4074 data_time: 0.0161 memory: 13431 grad_norm: 5.9757 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6558 loss: 1.6558 2022/08/17 03:03:09 - mmengine - INFO - Epoch(train) [214][3000/3757] lr: 6.8014e-03 eta: 17:45:50 time: 0.4106 data_time: 0.0155 memory: 13431 grad_norm: 5.7964 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6683 loss: 1.6683 2022/08/17 03:03:50 - mmengine - INFO - Epoch(train) [214][3100/3757] lr: 6.8014e-03 eta: 17:45:10 time: 0.4095 data_time: 0.0163 memory: 13431 grad_norm: 5.7069 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9018 loss: 1.9018 2022/08/17 03:04:31 - mmengine - INFO - Epoch(train) [214][3200/3757] lr: 6.8014e-03 eta: 17:44:30 time: 0.4170 data_time: 0.0162 memory: 13431 grad_norm: 5.6995 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7076 loss: 1.7076 2022/08/17 03:05:13 - mmengine - INFO - Epoch(train) [214][3300/3757] lr: 6.8014e-03 eta: 17:43:49 time: 0.4096 data_time: 0.0173 memory: 13431 grad_norm: 5.9431 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7782 loss: 1.7782 2022/08/17 03:05:54 - mmengine - INFO - Epoch(train) [214][3400/3757] lr: 6.8014e-03 eta: 17:43:09 time: 0.4086 data_time: 0.0152 memory: 13431 grad_norm: 6.0924 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8103 loss: 1.8103 2022/08/17 03:06:35 - mmengine - INFO - Epoch(train) [214][3500/3757] lr: 6.8014e-03 eta: 17:42:29 time: 0.4109 data_time: 0.0157 memory: 13431 grad_norm: 6.0899 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5117 loss: 1.5117 2022/08/17 03:07:17 - mmengine - INFO - Epoch(train) [214][3600/3757] lr: 6.8014e-03 eta: 17:41:49 time: 0.4148 data_time: 0.0165 memory: 13431 grad_norm: 5.8146 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9433 loss: 1.9433 2022/08/17 03:07:58 - mmengine - INFO - Epoch(train) [214][3700/3757] lr: 6.8014e-03 eta: 17:41:09 time: 0.4205 data_time: 0.0175 memory: 13431 grad_norm: 5.7534 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5552 loss: 1.5552 2022/08/17 03:08:21 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 03:08:21 - mmengine - INFO - Epoch(train) [214][3757/3757] lr: 6.8014e-03 eta: 17:40:53 time: 0.3965 data_time: 0.0155 memory: 13431 grad_norm: 5.9671 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.7518 loss: 1.7518 2022/08/17 03:08:24 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 03:09:05 - mmengine - INFO - Epoch(train) [215][100/3757] lr: 6.4957e-03 eta: 17:40:05 time: 0.4151 data_time: 0.0158 memory: 13431 grad_norm: 5.9912 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8368 loss: 1.8368 2022/08/17 03:09:47 - mmengine - INFO - Epoch(train) [215][200/3757] lr: 6.4957e-03 eta: 17:39:25 time: 0.4100 data_time: 0.0157 memory: 13431 grad_norm: 5.8865 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8318 loss: 1.8318 2022/08/17 03:10:28 - mmengine - INFO - Epoch(train) [215][300/3757] lr: 6.4957e-03 eta: 17:38:44 time: 0.4069 data_time: 0.0167 memory: 13431 grad_norm: 5.8534 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0510 loss: 2.0510 2022/08/17 03:11:09 - mmengine - INFO - Epoch(train) [215][400/3757] lr: 6.4957e-03 eta: 17:38:04 time: 0.4099 data_time: 0.0169 memory: 13431 grad_norm: 5.7485 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.5617 loss: 1.5617 2022/08/17 03:11:51 - mmengine - INFO - Epoch(train) [215][500/3757] lr: 6.4957e-03 eta: 17:37:24 time: 0.4091 data_time: 0.0169 memory: 13431 grad_norm: 6.2122 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7195 loss: 1.7195 2022/08/17 03:12:32 - mmengine - INFO - Epoch(train) [215][600/3757] lr: 6.4957e-03 eta: 17:36:44 time: 0.4098 data_time: 0.0171 memory: 13431 grad_norm: 6.0691 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9685 loss: 1.9685 2022/08/17 03:13:13 - mmengine - INFO - Epoch(train) [215][700/3757] lr: 6.4957e-03 eta: 17:36:04 time: 0.4147 data_time: 0.0162 memory: 13431 grad_norm: 5.9928 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7049 loss: 1.7049 2022/08/17 03:13:55 - mmengine - INFO - Epoch(train) [215][800/3757] lr: 6.4957e-03 eta: 17:35:23 time: 0.4133 data_time: 0.0148 memory: 13431 grad_norm: 5.8281 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3902 loss: 1.3902 2022/08/17 03:14:36 - mmengine - INFO - Epoch(train) [215][900/3757] lr: 6.4957e-03 eta: 17:34:43 time: 0.4106 data_time: 0.0155 memory: 13431 grad_norm: 5.9346 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5804 loss: 1.5804 2022/08/17 03:15:18 - mmengine - INFO - Epoch(train) [215][1000/3757] lr: 6.4957e-03 eta: 17:34:03 time: 0.4076 data_time: 0.0151 memory: 13431 grad_norm: 5.8182 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6072 loss: 1.6072 2022/08/17 03:15:18 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 03:15:59 - mmengine - INFO - Epoch(train) [215][1100/3757] lr: 6.4957e-03 eta: 17:33:23 time: 0.4075 data_time: 0.0156 memory: 13431 grad_norm: 5.6573 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7359 loss: 1.7359 2022/08/17 03:16:40 - mmengine - INFO - Epoch(train) [215][1200/3757] lr: 6.4957e-03 eta: 17:32:43 time: 0.4093 data_time: 0.0158 memory: 13431 grad_norm: 5.8377 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6809 loss: 1.6809 2022/08/17 03:17:22 - mmengine - INFO - Epoch(train) [215][1300/3757] lr: 6.4957e-03 eta: 17:32:03 time: 0.4098 data_time: 0.0161 memory: 13431 grad_norm: 5.6716 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6210 loss: 1.6210 2022/08/17 03:18:03 - mmengine - INFO - Epoch(train) [215][1400/3757] lr: 6.4957e-03 eta: 17:31:22 time: 0.4176 data_time: 0.0163 memory: 13431 grad_norm: 6.1359 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5634 loss: 1.5634 2022/08/17 03:18:45 - mmengine - INFO - Epoch(train) [215][1500/3757] lr: 6.4957e-03 eta: 17:30:42 time: 0.4203 data_time: 0.0161 memory: 13431 grad_norm: 5.8564 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7539 loss: 1.7539 2022/08/17 03:19:26 - mmengine - INFO - Epoch(train) [215][1600/3757] lr: 6.4957e-03 eta: 17:30:02 time: 0.4093 data_time: 0.0163 memory: 13431 grad_norm: 5.9649 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7606 loss: 1.7606 2022/08/17 03:20:07 - mmengine - INFO - Epoch(train) [215][1700/3757] lr: 6.4957e-03 eta: 17:29:22 time: 0.4091 data_time: 0.0164 memory: 13431 grad_norm: 5.9980 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8077 loss: 1.8077 2022/08/17 03:20:49 - mmengine - INFO - Epoch(train) [215][1800/3757] lr: 6.4957e-03 eta: 17:28:42 time: 0.4116 data_time: 0.0161 memory: 13431 grad_norm: 6.0310 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6915 loss: 1.6915 2022/08/17 03:21:30 - mmengine - INFO - Epoch(train) [215][1900/3757] lr: 6.4957e-03 eta: 17:28:02 time: 0.4141 data_time: 0.0181 memory: 13431 grad_norm: 5.9842 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6942 loss: 1.6942 2022/08/17 03:22:11 - mmengine - INFO - Epoch(train) [215][2000/3757] lr: 6.4957e-03 eta: 17:27:21 time: 0.4143 data_time: 0.0164 memory: 13431 grad_norm: 6.0113 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8809 loss: 1.8809 2022/08/17 03:22:12 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 03:22:53 - mmengine - INFO - Epoch(train) [215][2100/3757] lr: 6.4957e-03 eta: 17:26:41 time: 0.4198 data_time: 0.0160 memory: 13431 grad_norm: 5.8730 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6107 loss: 1.6107 2022/08/17 03:23:34 - mmengine - INFO - Epoch(train) [215][2200/3757] lr: 6.4957e-03 eta: 17:26:01 time: 0.4173 data_time: 0.0171 memory: 13431 grad_norm: 5.8779 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7671 loss: 1.7671 2022/08/17 03:24:16 - mmengine - INFO - Epoch(train) [215][2300/3757] lr: 6.4957e-03 eta: 17:25:21 time: 0.4174 data_time: 0.0154 memory: 13431 grad_norm: 5.8516 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6686 loss: 1.6686 2022/08/17 03:24:57 - mmengine - INFO - Epoch(train) [215][2400/3757] lr: 6.4957e-03 eta: 17:24:41 time: 0.4094 data_time: 0.0154 memory: 13431 grad_norm: 6.2135 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5945 loss: 1.5945 2022/08/17 03:25:38 - mmengine - INFO - Epoch(train) [215][2500/3757] lr: 6.4957e-03 eta: 17:24:01 time: 0.4079 data_time: 0.0161 memory: 13431 grad_norm: 6.0371 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9421 loss: 1.9421 2022/08/17 03:26:20 - mmengine - INFO - Epoch(train) [215][2600/3757] lr: 6.4957e-03 eta: 17:23:20 time: 0.4105 data_time: 0.0169 memory: 13431 grad_norm: 5.8169 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7321 loss: 1.7321 2022/08/17 03:27:01 - mmengine - INFO - Epoch(train) [215][2700/3757] lr: 6.4957e-03 eta: 17:22:40 time: 0.4108 data_time: 0.0169 memory: 13431 grad_norm: 5.6752 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5840 loss: 1.5840 2022/08/17 03:27:42 - mmengine - INFO - Epoch(train) [215][2800/3757] lr: 6.4957e-03 eta: 17:22:00 time: 0.4107 data_time: 0.0156 memory: 13431 grad_norm: 5.8150 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5335 loss: 1.5335 2022/08/17 03:28:24 - mmengine - INFO - Epoch(train) [215][2900/3757] lr: 6.4957e-03 eta: 17:21:20 time: 0.4148 data_time: 0.0152 memory: 13431 grad_norm: 5.5796 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7308 loss: 1.7308 2022/08/17 03:29:06 - mmengine - INFO - Epoch(train) [215][3000/3757] lr: 6.4957e-03 eta: 17:20:40 time: 0.4143 data_time: 0.0166 memory: 13431 grad_norm: 6.0180 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7469 loss: 1.7469 2022/08/17 03:29:07 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 03:29:47 - mmengine - INFO - Epoch(train) [215][3100/3757] lr: 6.4957e-03 eta: 17:20:00 time: 0.4121 data_time: 0.0156 memory: 13431 grad_norm: 6.0399 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8615 loss: 1.8615 2022/08/17 03:30:28 - mmengine - INFO - Epoch(train) [215][3200/3757] lr: 6.4957e-03 eta: 17:19:19 time: 0.4067 data_time: 0.0153 memory: 13431 grad_norm: 5.8101 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7071 loss: 1.7071 2022/08/17 03:31:10 - mmengine - INFO - Epoch(train) [215][3300/3757] lr: 6.4957e-03 eta: 17:18:39 time: 0.4091 data_time: 0.0160 memory: 13431 grad_norm: 5.6521 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7759 loss: 1.7759 2022/08/17 03:31:51 - mmengine - INFO - Epoch(train) [215][3400/3757] lr: 6.4957e-03 eta: 17:17:59 time: 0.4077 data_time: 0.0158 memory: 13431 grad_norm: 5.9426 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5153 loss: 1.5153 2022/08/17 03:32:32 - mmengine - INFO - Epoch(train) [215][3500/3757] lr: 6.4957e-03 eta: 17:17:19 time: 0.4182 data_time: 0.0162 memory: 13431 grad_norm: 6.0271 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9012 loss: 1.9012 2022/08/17 03:33:14 - mmengine - INFO - Epoch(train) [215][3600/3757] lr: 6.4957e-03 eta: 17:16:39 time: 0.4167 data_time: 0.0152 memory: 13431 grad_norm: 6.0502 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7657 loss: 1.7657 2022/08/17 03:33:55 - mmengine - INFO - Epoch(train) [215][3700/3757] lr: 6.4957e-03 eta: 17:15:59 time: 0.4135 data_time: 0.0164 memory: 13431 grad_norm: 5.8489 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5659 loss: 1.5659 2022/08/17 03:34:18 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 03:34:18 - mmengine - INFO - Epoch(train) [215][3757/3757] lr: 6.4957e-03 eta: 17:15:42 time: 0.3958 data_time: 0.0138 memory: 13431 grad_norm: 5.9323 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 1.8058 loss: 1.8058 2022/08/17 03:34:42 - mmengine - INFO - Epoch(val) [215][100/310] eta: 0:00:53 time: 0.2560 data_time: 0.1292 memory: 1974 2022/08/17 03:35:02 - mmengine - INFO - Epoch(val) [215][200/310] eta: 0:00:21 time: 0.1963 data_time: 0.0675 memory: 1974 2022/08/17 03:35:23 - mmengine - INFO - Epoch(val) [215][300/310] eta: 0:00:02 time: 0.2024 data_time: 0.0740 memory: 1974 2022/08/17 03:35:28 - mmengine - INFO - Epoch(val) [215][310/310] acc/top1: 0.6473 acc/top5: 0.8567 acc/mean1: 0.6471 2022/08/17 03:35:28 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_211.pth is removed 2022/08/17 03:35:33 - mmengine - INFO - The best checkpoint with 0.6473 acc/top1 at 216 epoch is saved to best_acc/top1_epoch_216.pth. 2022/08/17 03:36:15 - mmengine - INFO - Epoch(train) [216][100/3757] lr: 6.1965e-03 eta: 17:14:54 time: 0.4177 data_time: 0.0156 memory: 13431 grad_norm: 5.8880 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7402 loss: 1.7402 2022/08/17 03:36:57 - mmengine - INFO - Epoch(train) [216][200/3757] lr: 6.1965e-03 eta: 17:14:14 time: 0.4085 data_time: 0.0156 memory: 13431 grad_norm: 6.0391 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7425 loss: 1.7425 2022/08/17 03:37:15 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 03:37:38 - mmengine - INFO - Epoch(train) [216][300/3757] lr: 6.1965e-03 eta: 17:13:34 time: 0.4094 data_time: 0.0170 memory: 13431 grad_norm: 5.8792 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6936 loss: 1.6936 2022/08/17 03:38:19 - mmengine - INFO - Epoch(train) [216][400/3757] lr: 6.1965e-03 eta: 17:12:54 time: 0.4150 data_time: 0.0162 memory: 13431 grad_norm: 5.7764 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7276 loss: 1.7276 2022/08/17 03:39:01 - mmengine - INFO - Epoch(train) [216][500/3757] lr: 6.1965e-03 eta: 17:12:14 time: 0.4101 data_time: 0.0156 memory: 13431 grad_norm: 5.6821 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4692 loss: 1.4692 2022/08/17 03:39:42 - mmengine - INFO - Epoch(train) [216][600/3757] lr: 6.1965e-03 eta: 17:11:33 time: 0.4076 data_time: 0.0155 memory: 13431 grad_norm: 6.4045 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9367 loss: 1.9367 2022/08/17 03:40:23 - mmengine - INFO - Epoch(train) [216][700/3757] lr: 6.1965e-03 eta: 17:10:53 time: 0.4082 data_time: 0.0157 memory: 13431 grad_norm: 5.8215 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6181 loss: 1.6181 2022/08/17 03:41:04 - mmengine - INFO - Epoch(train) [216][800/3757] lr: 6.1965e-03 eta: 17:10:13 time: 0.4074 data_time: 0.0154 memory: 13431 grad_norm: 5.9625 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4931 loss: 1.4931 2022/08/17 03:41:45 - mmengine - INFO - Epoch(train) [216][900/3757] lr: 6.1965e-03 eta: 17:09:33 time: 0.4088 data_time: 0.0170 memory: 13431 grad_norm: 5.9427 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7071 loss: 1.7071 2022/08/17 03:42:27 - mmengine - INFO - Epoch(train) [216][1000/3757] lr: 6.1965e-03 eta: 17:08:52 time: 0.4066 data_time: 0.0160 memory: 13431 grad_norm: 5.9921 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8766 loss: 1.8766 2022/08/17 03:43:08 - mmengine - INFO - Epoch(train) [216][1100/3757] lr: 6.1965e-03 eta: 17:08:12 time: 0.4070 data_time: 0.0155 memory: 13431 grad_norm: 5.9665 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9186 loss: 1.9186 2022/08/17 03:43:50 - mmengine - INFO - Epoch(train) [216][1200/3757] lr: 6.1965e-03 eta: 17:07:32 time: 0.4103 data_time: 0.0158 memory: 13431 grad_norm: 5.8264 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6918 loss: 1.6918 2022/08/17 03:44:08 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 03:44:31 - mmengine - INFO - Epoch(train) [216][1300/3757] lr: 6.1965e-03 eta: 17:06:52 time: 0.4072 data_time: 0.0165 memory: 13431 grad_norm: 5.9422 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5670 loss: 1.5670 2022/08/17 03:45:12 - mmengine - INFO - Epoch(train) [216][1400/3757] lr: 6.1965e-03 eta: 17:06:12 time: 0.4079 data_time: 0.0169 memory: 13431 grad_norm: 6.0325 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6648 loss: 1.6648 2022/08/17 03:45:53 - mmengine - INFO - Epoch(train) [216][1500/3757] lr: 6.1965e-03 eta: 17:05:32 time: 0.4125 data_time: 0.0165 memory: 13431 grad_norm: 6.0819 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4428 loss: 1.4428 2022/08/17 03:46:35 - mmengine - INFO - Epoch(train) [216][1600/3757] lr: 6.1965e-03 eta: 17:04:51 time: 0.4102 data_time: 0.0166 memory: 13431 grad_norm: 6.1625 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8353 loss: 1.8353 2022/08/17 03:47:16 - mmengine - INFO - Epoch(train) [216][1700/3757] lr: 6.1965e-03 eta: 17:04:11 time: 0.4080 data_time: 0.0151 memory: 13431 grad_norm: 5.7570 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5235 loss: 1.5235 2022/08/17 03:47:58 - mmengine - INFO - Epoch(train) [216][1800/3757] lr: 6.1965e-03 eta: 17:03:31 time: 0.4081 data_time: 0.0178 memory: 13431 grad_norm: 5.9163 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7336 loss: 1.7336 2022/08/17 03:48:39 - mmengine - INFO - Epoch(train) [216][1900/3757] lr: 6.1965e-03 eta: 17:02:51 time: 0.4145 data_time: 0.0169 memory: 13431 grad_norm: 6.0472 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5308 loss: 1.5308 2022/08/17 03:49:21 - mmengine - INFO - Epoch(train) [216][2000/3757] lr: 6.1965e-03 eta: 17:02:11 time: 0.4069 data_time: 0.0155 memory: 13431 grad_norm: 5.8066 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6785 loss: 1.6785 2022/08/17 03:50:02 - mmengine - INFO - Epoch(train) [216][2100/3757] lr: 6.1965e-03 eta: 17:01:30 time: 0.4073 data_time: 0.0158 memory: 13431 grad_norm: 6.1815 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5132 loss: 1.5132 2022/08/17 03:50:43 - mmengine - INFO - Epoch(train) [216][2200/3757] lr: 6.1965e-03 eta: 17:00:50 time: 0.4117 data_time: 0.0159 memory: 13431 grad_norm: 6.2303 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5178 loss: 1.5178 2022/08/17 03:51:02 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 03:51:24 - mmengine - INFO - Epoch(train) [216][2300/3757] lr: 6.1965e-03 eta: 17:00:10 time: 0.4093 data_time: 0.0155 memory: 13431 grad_norm: 5.6988 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5071 loss: 1.5071 2022/08/17 03:52:06 - mmengine - INFO - Epoch(train) [216][2400/3757] lr: 6.1965e-03 eta: 16:59:30 time: 0.4190 data_time: 0.0167 memory: 13431 grad_norm: 5.8426 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5790 loss: 1.5790 2022/08/17 03:52:47 - mmengine - INFO - Epoch(train) [216][2500/3757] lr: 6.1965e-03 eta: 16:58:50 time: 0.4112 data_time: 0.0158 memory: 13431 grad_norm: 6.1318 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7345 loss: 1.7345 2022/08/17 03:53:29 - mmengine - INFO - Epoch(train) [216][2600/3757] lr: 6.1965e-03 eta: 16:58:10 time: 0.4080 data_time: 0.0166 memory: 13431 grad_norm: 5.8961 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8796 loss: 1.8796 2022/08/17 03:54:10 - mmengine - INFO - Epoch(train) [216][2700/3757] lr: 6.1965e-03 eta: 16:57:29 time: 0.4090 data_time: 0.0156 memory: 13431 grad_norm: 5.9426 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0105 loss: 2.0105 2022/08/17 03:54:52 - mmengine - INFO - Epoch(train) [216][2800/3757] lr: 6.1965e-03 eta: 16:56:49 time: 0.4091 data_time: 0.0157 memory: 13431 grad_norm: 5.8428 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0061 loss: 2.0061 2022/08/17 03:55:33 - mmengine - INFO - Epoch(train) [216][2900/3757] lr: 6.1965e-03 eta: 16:56:09 time: 0.4070 data_time: 0.0163 memory: 13431 grad_norm: 6.0134 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9541 loss: 1.9541 2022/08/17 03:56:14 - mmengine - INFO - Epoch(train) [216][3000/3757] lr: 6.1965e-03 eta: 16:55:29 time: 0.4106 data_time: 0.0154 memory: 13431 grad_norm: 5.7602 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7663 loss: 1.7663 2022/08/17 03:56:56 - mmengine - INFO - Epoch(train) [216][3100/3757] lr: 6.1965e-03 eta: 16:54:49 time: 0.4101 data_time: 0.0163 memory: 13431 grad_norm: 5.7025 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7449 loss: 1.7449 2022/08/17 03:57:37 - mmengine - INFO - Epoch(train) [216][3200/3757] lr: 6.1965e-03 eta: 16:54:08 time: 0.4082 data_time: 0.0162 memory: 13431 grad_norm: 5.8547 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5811 loss: 1.5811 2022/08/17 03:57:56 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 03:58:19 - mmengine - INFO - Epoch(train) [216][3300/3757] lr: 6.1965e-03 eta: 16:53:28 time: 0.4106 data_time: 0.0158 memory: 13431 grad_norm: 5.8464 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6970 loss: 1.6970 2022/08/17 03:59:00 - mmengine - INFO - Epoch(train) [216][3400/3757] lr: 6.1965e-03 eta: 16:52:48 time: 0.4074 data_time: 0.0158 memory: 13431 grad_norm: 5.8503 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8057 loss: 1.8057 2022/08/17 03:59:41 - mmengine - INFO - Epoch(train) [216][3500/3757] lr: 6.1965e-03 eta: 16:52:08 time: 0.4086 data_time: 0.0165 memory: 13431 grad_norm: 5.9647 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7038 loss: 1.7038 2022/08/17 04:00:22 - mmengine - INFO - Epoch(train) [216][3600/3757] lr: 6.1965e-03 eta: 16:51:28 time: 0.4074 data_time: 0.0155 memory: 13431 grad_norm: 6.0492 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0349 loss: 2.0349 2022/08/17 04:01:04 - mmengine - INFO - Epoch(train) [216][3700/3757] lr: 6.1965e-03 eta: 16:50:47 time: 0.4100 data_time: 0.0164 memory: 13431 grad_norm: 6.1700 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7824 loss: 1.7824 2022/08/17 04:01:27 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 04:01:27 - mmengine - INFO - Epoch(train) [216][3757/3757] lr: 6.1965e-03 eta: 16:50:31 time: 0.3962 data_time: 0.0145 memory: 13431 grad_norm: 6.0115 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 1.6178 loss: 1.6178 2022/08/17 04:01:27 - mmengine - INFO - Saving checkpoint at 216 epochs 2022/08/17 04:02:15 - mmengine - INFO - Epoch(train) [217][100/3757] lr: 5.9039e-03 eta: 16:49:43 time: 0.4206 data_time: 0.0158 memory: 13431 grad_norm: 6.0242 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5510 loss: 1.5510 2022/08/17 04:02:57 - mmengine - INFO - Epoch(train) [217][200/3757] lr: 5.9039e-03 eta: 16:49:03 time: 0.4113 data_time: 0.0191 memory: 13431 grad_norm: 6.0388 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6916 loss: 1.6916 2022/08/17 04:03:38 - mmengine - INFO - Epoch(train) [217][300/3757] lr: 5.9039e-03 eta: 16:48:23 time: 0.4152 data_time: 0.0159 memory: 13431 grad_norm: 6.0265 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8147 loss: 1.8147 2022/08/17 04:04:20 - mmengine - INFO - Epoch(train) [217][400/3757] lr: 5.9039e-03 eta: 16:47:43 time: 0.4082 data_time: 0.0161 memory: 13431 grad_norm: 5.9930 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8822 loss: 1.8822 2022/08/17 04:04:56 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 04:05:01 - mmengine - INFO - Epoch(train) [217][500/3757] lr: 5.9039e-03 eta: 16:47:02 time: 0.4106 data_time: 0.0159 memory: 13431 grad_norm: 6.0914 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8870 loss: 1.8870 2022/08/17 04:05:43 - mmengine - INFO - Epoch(train) [217][600/3757] lr: 5.9039e-03 eta: 16:46:22 time: 0.4148 data_time: 0.0154 memory: 13431 grad_norm: 5.9578 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7456 loss: 1.7456 2022/08/17 04:06:24 - mmengine - INFO - Epoch(train) [217][700/3757] lr: 5.9039e-03 eta: 16:45:42 time: 0.4125 data_time: 0.0165 memory: 13431 grad_norm: 5.9383 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6649 loss: 1.6649 2022/08/17 04:07:05 - mmengine - INFO - Epoch(train) [217][800/3757] lr: 5.9039e-03 eta: 16:45:02 time: 0.4192 data_time: 0.0161 memory: 13431 grad_norm: 5.7002 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5998 loss: 1.5998 2022/08/17 04:07:47 - mmengine - INFO - Epoch(train) [217][900/3757] lr: 5.9039e-03 eta: 16:44:22 time: 0.4112 data_time: 0.0155 memory: 13431 grad_norm: 5.7658 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7133 loss: 1.7133 2022/08/17 04:08:28 - mmengine - INFO - Epoch(train) [217][1000/3757] lr: 5.9039e-03 eta: 16:43:42 time: 0.4084 data_time: 0.0158 memory: 13431 grad_norm: 6.1654 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9709 loss: 1.9709 2022/08/17 04:09:09 - mmengine - INFO - Epoch(train) [217][1100/3757] lr: 5.9039e-03 eta: 16:43:01 time: 0.4076 data_time: 0.0157 memory: 13431 grad_norm: 6.1462 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6950 loss: 1.6950 2022/08/17 04:09:50 - mmengine - INFO - Epoch(train) [217][1200/3757] lr: 5.9039e-03 eta: 16:42:21 time: 0.4055 data_time: 0.0153 memory: 13431 grad_norm: 6.1712 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6718 loss: 1.6718 2022/08/17 04:10:32 - mmengine - INFO - Epoch(train) [217][1300/3757] lr: 5.9039e-03 eta: 16:41:41 time: 0.4100 data_time: 0.0164 memory: 13431 grad_norm: 6.1424 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4197 loss: 1.4197 2022/08/17 04:11:13 - mmengine - INFO - Epoch(train) [217][1400/3757] lr: 5.9039e-03 eta: 16:41:01 time: 0.4096 data_time: 0.0168 memory: 13431 grad_norm: 5.9778 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6610 loss: 1.6610 2022/08/17 04:11:49 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 04:11:55 - mmengine - INFO - Epoch(train) [217][1500/3757] lr: 5.9039e-03 eta: 16:40:21 time: 0.4168 data_time: 0.0162 memory: 13431 grad_norm: 6.1188 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8540 loss: 1.8540 2022/08/17 04:12:36 - mmengine - INFO - Epoch(train) [217][1600/3757] lr: 5.9039e-03 eta: 16:39:40 time: 0.4133 data_time: 0.0164 memory: 13431 grad_norm: 6.0013 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5553 loss: 1.5553 2022/08/17 04:13:17 - mmengine - INFO - Epoch(train) [217][1700/3757] lr: 5.9039e-03 eta: 16:39:00 time: 0.4193 data_time: 0.0156 memory: 13431 grad_norm: 6.0047 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9218 loss: 1.9218 2022/08/17 04:13:59 - mmengine - INFO - Epoch(train) [217][1800/3757] lr: 5.9039e-03 eta: 16:38:20 time: 0.4115 data_time: 0.0170 memory: 13431 grad_norm: 5.9940 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8333 loss: 1.8333 2022/08/17 04:14:40 - mmengine - INFO - Epoch(train) [217][1900/3757] lr: 5.9039e-03 eta: 16:37:40 time: 0.4083 data_time: 0.0170 memory: 13431 grad_norm: 5.9578 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7635 loss: 1.7635 2022/08/17 04:15:21 - mmengine - INFO - Epoch(train) [217][2000/3757] lr: 5.9039e-03 eta: 16:37:00 time: 0.4108 data_time: 0.0160 memory: 13431 grad_norm: 6.2221 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6259 loss: 1.6259 2022/08/17 04:16:03 - mmengine - INFO - Epoch(train) [217][2100/3757] lr: 5.9039e-03 eta: 16:36:19 time: 0.4076 data_time: 0.0158 memory: 13431 grad_norm: 6.1670 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5991 loss: 1.5991 2022/08/17 04:16:45 - mmengine - INFO - Epoch(train) [217][2200/3757] lr: 5.9039e-03 eta: 16:35:39 time: 0.4093 data_time: 0.0158 memory: 13431 grad_norm: 6.1498 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8913 loss: 1.8913 2022/08/17 04:17:26 - mmengine - INFO - Epoch(train) [217][2300/3757] lr: 5.9039e-03 eta: 16:34:59 time: 0.4241 data_time: 0.0166 memory: 13431 grad_norm: 5.9560 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5908 loss: 1.5908 2022/08/17 04:18:08 - mmengine - INFO - Epoch(train) [217][2400/3757] lr: 5.9039e-03 eta: 16:34:19 time: 0.4239 data_time: 0.0154 memory: 13431 grad_norm: 5.8521 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5882 loss: 1.5882 2022/08/17 04:18:44 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 04:18:49 - mmengine - INFO - Epoch(train) [217][2500/3757] lr: 5.9039e-03 eta: 16:33:39 time: 0.4089 data_time: 0.0157 memory: 13431 grad_norm: 5.8459 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7374 loss: 1.7374 2022/08/17 04:19:30 - mmengine - INFO - Epoch(train) [217][2600/3757] lr: 5.9039e-03 eta: 16:32:59 time: 0.4093 data_time: 0.0153 memory: 13431 grad_norm: 6.3771 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6627 loss: 1.6627 2022/08/17 04:20:12 - mmengine - INFO - Epoch(train) [217][2700/3757] lr: 5.9039e-03 eta: 16:32:18 time: 0.4167 data_time: 0.0160 memory: 13431 grad_norm: 6.0341 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5329 loss: 1.5329 2022/08/17 04:20:53 - mmengine - INFO - Epoch(train) [217][2800/3757] lr: 5.9039e-03 eta: 16:31:38 time: 0.4107 data_time: 0.0156 memory: 13431 grad_norm: 6.2611 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5653 loss: 1.5653 2022/08/17 04:21:34 - mmengine - INFO - Epoch(train) [217][2900/3757] lr: 5.9039e-03 eta: 16:30:58 time: 0.4110 data_time: 0.0155 memory: 13431 grad_norm: 6.0029 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7999 loss: 1.7999 2022/08/17 04:22:16 - mmengine - INFO - Epoch(train) [217][3000/3757] lr: 5.9039e-03 eta: 16:30:18 time: 0.4192 data_time: 0.0169 memory: 13431 grad_norm: 5.9903 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8566 loss: 1.8566 2022/08/17 04:22:57 - mmengine - INFO - Epoch(train) [217][3100/3757] lr: 5.9039e-03 eta: 16:29:38 time: 0.4140 data_time: 0.0170 memory: 13431 grad_norm: 6.1288 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7887 loss: 1.7887 2022/08/17 04:23:39 - mmengine - INFO - Epoch(train) [217][3200/3757] lr: 5.9039e-03 eta: 16:28:57 time: 0.4096 data_time: 0.0165 memory: 13431 grad_norm: 6.2014 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6941 loss: 1.6941 2022/08/17 04:24:20 - mmengine - INFO - Epoch(train) [217][3300/3757] lr: 5.9039e-03 eta: 16:28:17 time: 0.4080 data_time: 0.0171 memory: 13431 grad_norm: 6.1097 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7709 loss: 1.7709 2022/08/17 04:25:01 - mmengine - INFO - Epoch(train) [217][3400/3757] lr: 5.9039e-03 eta: 16:27:37 time: 0.4079 data_time: 0.0160 memory: 13431 grad_norm: 6.1662 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6460 loss: 1.6460 2022/08/17 04:25:38 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 04:25:43 - mmengine - INFO - Epoch(train) [217][3500/3757] lr: 5.9039e-03 eta: 16:26:57 time: 0.4068 data_time: 0.0151 memory: 13431 grad_norm: 6.1654 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7308 loss: 1.7308 2022/08/17 04:26:24 - mmengine - INFO - Epoch(train) [217][3600/3757] lr: 5.9039e-03 eta: 16:26:17 time: 0.4162 data_time: 0.0159 memory: 13431 grad_norm: 5.9649 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5515 loss: 1.5515 2022/08/17 04:27:05 - mmengine - INFO - Epoch(train) [217][3700/3757] lr: 5.9039e-03 eta: 16:25:36 time: 0.4169 data_time: 0.0159 memory: 13431 grad_norm: 6.0326 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8685 loss: 1.8685 2022/08/17 04:27:29 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 04:27:29 - mmengine - INFO - Epoch(train) [217][3757/3757] lr: 5.9039e-03 eta: 16:25:20 time: 0.3964 data_time: 0.0144 memory: 13431 grad_norm: 5.8252 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2529 loss: 1.2529 2022/08/17 04:28:12 - mmengine - INFO - Epoch(train) [218][100/3757] lr: 5.6180e-03 eta: 16:24:32 time: 0.4084 data_time: 0.0161 memory: 13431 grad_norm: 6.0483 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5937 loss: 1.5937 2022/08/17 04:28:54 - mmengine - INFO - Epoch(train) [218][200/3757] lr: 5.6180e-03 eta: 16:23:52 time: 0.4137 data_time: 0.0171 memory: 13431 grad_norm: 5.8338 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7536 loss: 1.7536 2022/08/17 04:29:35 - mmengine - INFO - Epoch(train) [218][300/3757] lr: 5.6180e-03 eta: 16:23:12 time: 0.4091 data_time: 0.0166 memory: 13431 grad_norm: 5.9062 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7618 loss: 1.7618 2022/08/17 04:30:16 - mmengine - INFO - Epoch(train) [218][400/3757] lr: 5.6180e-03 eta: 16:22:32 time: 0.4097 data_time: 0.0166 memory: 13431 grad_norm: 6.1549 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6447 loss: 1.6447 2022/08/17 04:30:57 - mmengine - INFO - Epoch(train) [218][500/3757] lr: 5.6180e-03 eta: 16:21:52 time: 0.4117 data_time: 0.0170 memory: 13431 grad_norm: 6.1023 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7353 loss: 1.7353 2022/08/17 04:31:39 - mmengine - INFO - Epoch(train) [218][600/3757] lr: 5.6180e-03 eta: 16:21:11 time: 0.4093 data_time: 0.0168 memory: 13431 grad_norm: 6.1875 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6493 loss: 1.6493 2022/08/17 04:32:20 - mmengine - INFO - Epoch(train) [218][700/3757] lr: 5.6180e-03 eta: 16:20:31 time: 0.4100 data_time: 0.0166 memory: 13431 grad_norm: 6.0939 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9086 loss: 1.9086 2022/08/17 04:32:33 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 04:33:01 - mmengine - INFO - Epoch(train) [218][800/3757] lr: 5.6180e-03 eta: 16:19:51 time: 0.4063 data_time: 0.0156 memory: 13431 grad_norm: 6.0161 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7337 loss: 1.7337 2022/08/17 04:33:43 - mmengine - INFO - Epoch(train) [218][900/3757] lr: 5.6180e-03 eta: 16:19:11 time: 0.4058 data_time: 0.0156 memory: 13431 grad_norm: 6.4134 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7879 loss: 1.7879 2022/08/17 04:34:24 - mmengine - INFO - Epoch(train) [218][1000/3757] lr: 5.6180e-03 eta: 16:18:31 time: 0.4134 data_time: 0.0166 memory: 13431 grad_norm: 5.9799 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5188 loss: 1.5188 2022/08/17 04:35:07 - mmengine - INFO - Epoch(train) [218][1100/3757] lr: 5.6180e-03 eta: 16:17:51 time: 0.4343 data_time: 0.0161 memory: 13431 grad_norm: 6.2402 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6757 loss: 1.6757 2022/08/17 04:35:48 - mmengine - INFO - Epoch(train) [218][1200/3757] lr: 5.6180e-03 eta: 16:17:10 time: 0.4088 data_time: 0.0148 memory: 13431 grad_norm: 6.1862 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7304 loss: 1.7304 2022/08/17 04:36:30 - mmengine - INFO - Epoch(train) [218][1300/3757] lr: 5.6180e-03 eta: 16:16:30 time: 0.4147 data_time: 0.0177 memory: 13431 grad_norm: 6.3134 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8468 loss: 1.8468 2022/08/17 04:37:11 - mmengine - INFO - Epoch(train) [218][1400/3757] lr: 5.6180e-03 eta: 16:15:50 time: 0.4123 data_time: 0.0154 memory: 13431 grad_norm: 5.9044 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4856 loss: 1.4856 2022/08/17 04:37:53 - mmengine - INFO - Epoch(train) [218][1500/3757] lr: 5.6180e-03 eta: 16:15:10 time: 0.4067 data_time: 0.0163 memory: 13431 grad_norm: 6.1571 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6104 loss: 1.6104 2022/08/17 04:38:34 - mmengine - INFO - Epoch(train) [218][1600/3757] lr: 5.6180e-03 eta: 16:14:30 time: 0.4136 data_time: 0.0181 memory: 13431 grad_norm: 5.9471 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5621 loss: 1.5621 2022/08/17 04:39:15 - mmengine - INFO - Epoch(train) [218][1700/3757] lr: 5.6180e-03 eta: 16:13:49 time: 0.4089 data_time: 0.0155 memory: 13431 grad_norm: 6.0429 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6107 loss: 1.6107 2022/08/17 04:39:28 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 04:39:57 - mmengine - INFO - Epoch(train) [218][1800/3757] lr: 5.6180e-03 eta: 16:13:09 time: 0.4088 data_time: 0.0159 memory: 13431 grad_norm: 5.8834 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6192 loss: 1.6192 2022/08/17 04:40:39 - mmengine - INFO - Epoch(train) [218][1900/3757] lr: 5.6180e-03 eta: 16:12:29 time: 0.4153 data_time: 0.0155 memory: 13431 grad_norm: 6.3879 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9982 loss: 1.9982 2022/08/17 04:41:20 - mmengine - INFO - Epoch(train) [218][2000/3757] lr: 5.6180e-03 eta: 16:11:49 time: 0.4073 data_time: 0.0165 memory: 13431 grad_norm: 6.2767 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7364 loss: 1.7364 2022/08/17 04:42:01 - mmengine - INFO - Epoch(train) [218][2100/3757] lr: 5.6180e-03 eta: 16:11:09 time: 0.4084 data_time: 0.0153 memory: 13431 grad_norm: 6.2246 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6445 loss: 1.6445 2022/08/17 04:42:43 - mmengine - INFO - Epoch(train) [218][2200/3757] lr: 5.6180e-03 eta: 16:10:28 time: 0.4068 data_time: 0.0155 memory: 13431 grad_norm: 6.2142 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7460 loss: 1.7460 2022/08/17 04:43:24 - mmengine - INFO - Epoch(train) [218][2300/3757] lr: 5.6180e-03 eta: 16:09:48 time: 0.4082 data_time: 0.0152 memory: 13431 grad_norm: 6.2539 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6364 loss: 1.6364 2022/08/17 04:44:05 - mmengine - INFO - Epoch(train) [218][2400/3757] lr: 5.6180e-03 eta: 16:09:08 time: 0.4088 data_time: 0.0175 memory: 13431 grad_norm: 6.1859 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0025 loss: 2.0025 2022/08/17 04:44:47 - mmengine - INFO - Epoch(train) [218][2500/3757] lr: 5.6180e-03 eta: 16:08:28 time: 0.4137 data_time: 0.0153 memory: 13431 grad_norm: 6.2084 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6135 loss: 1.6135 2022/08/17 04:45:28 - mmengine - INFO - Epoch(train) [218][2600/3757] lr: 5.6180e-03 eta: 16:07:48 time: 0.4163 data_time: 0.0157 memory: 13431 grad_norm: 5.9826 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8837 loss: 1.8837 2022/08/17 04:46:09 - mmengine - INFO - Epoch(train) [218][2700/3757] lr: 5.6180e-03 eta: 16:07:07 time: 0.4121 data_time: 0.0158 memory: 13431 grad_norm: 6.2534 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5089 loss: 1.5089 2022/08/17 04:46:22 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 04:46:51 - mmengine - INFO - Epoch(train) [218][2800/3757] lr: 5.6180e-03 eta: 16:06:27 time: 0.4082 data_time: 0.0163 memory: 13431 grad_norm: 6.2145 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6600 loss: 1.6600 2022/08/17 04:47:32 - mmengine - INFO - Epoch(train) [218][2900/3757] lr: 5.6180e-03 eta: 16:05:47 time: 0.4080 data_time: 0.0157 memory: 13431 grad_norm: 6.1231 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0093 loss: 2.0093 2022/08/17 04:48:14 - mmengine - INFO - Epoch(train) [218][3000/3757] lr: 5.6180e-03 eta: 16:05:07 time: 0.4065 data_time: 0.0165 memory: 13431 grad_norm: 6.1671 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5362 loss: 1.5362 2022/08/17 04:48:55 - mmengine - INFO - Epoch(train) [218][3100/3757] lr: 5.6180e-03 eta: 16:04:27 time: 0.4127 data_time: 0.0161 memory: 13431 grad_norm: 6.0264 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6619 loss: 1.6619 2022/08/17 04:49:37 - mmengine - INFO - Epoch(train) [218][3200/3757] lr: 5.6180e-03 eta: 16:03:46 time: 0.4120 data_time: 0.0168 memory: 13431 grad_norm: 6.0867 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7190 loss: 1.7190 2022/08/17 04:50:18 - mmengine - INFO - Epoch(train) [218][3300/3757] lr: 5.6180e-03 eta: 16:03:06 time: 0.4177 data_time: 0.0169 memory: 13431 grad_norm: 6.1577 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7827 loss: 1.7827 2022/08/17 04:50:59 - mmengine - INFO - Epoch(train) [218][3400/3757] lr: 5.6180e-03 eta: 16:02:26 time: 0.4106 data_time: 0.0164 memory: 13431 grad_norm: 5.9242 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6233 loss: 1.6233 2022/08/17 04:51:41 - mmengine - INFO - Epoch(train) [218][3500/3757] lr: 5.6180e-03 eta: 16:01:46 time: 0.4071 data_time: 0.0157 memory: 13431 grad_norm: 6.3540 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.7135 loss: 1.7135 2022/08/17 04:52:22 - mmengine - INFO - Epoch(train) [218][3600/3757] lr: 5.6180e-03 eta: 16:01:06 time: 0.4158 data_time: 0.0152 memory: 13431 grad_norm: 6.3627 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6092 loss: 1.6092 2022/08/17 04:53:03 - mmengine - INFO - Epoch(train) [218][3700/3757] lr: 5.6180e-03 eta: 16:00:25 time: 0.4079 data_time: 0.0154 memory: 13431 grad_norm: 6.2867 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7952 loss: 1.7952 2022/08/17 04:53:16 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 04:53:27 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 04:53:27 - mmengine - INFO - Epoch(train) [218][3757/3757] lr: 5.6180e-03 eta: 16:00:09 time: 0.3963 data_time: 0.0141 memory: 13431 grad_norm: 6.0202 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.8980 loss: 1.8980 2022/08/17 04:54:10 - mmengine - INFO - Epoch(train) [219][100/3757] lr: 5.3388e-03 eta: 15:59:21 time: 0.4125 data_time: 0.0164 memory: 13431 grad_norm: 6.0660 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7645 loss: 1.7645 2022/08/17 04:54:52 - mmengine - INFO - Epoch(train) [219][200/3757] lr: 5.3388e-03 eta: 15:58:41 time: 0.4111 data_time: 0.0168 memory: 13431 grad_norm: 6.0405 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5216 loss: 1.5216 2022/08/17 04:55:33 - mmengine - INFO - Epoch(train) [219][300/3757] lr: 5.3388e-03 eta: 15:58:01 time: 0.4151 data_time: 0.0157 memory: 13431 grad_norm: 6.0098 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5912 loss: 1.5912 2022/08/17 04:56:14 - mmengine - INFO - Epoch(train) [219][400/3757] lr: 5.3388e-03 eta: 15:57:21 time: 0.4098 data_time: 0.0155 memory: 13431 grad_norm: 6.1416 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6748 loss: 1.6748 2022/08/17 04:56:56 - mmengine - INFO - Epoch(train) [219][500/3757] lr: 5.3388e-03 eta: 15:56:41 time: 0.4094 data_time: 0.0163 memory: 13431 grad_norm: 6.2586 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5393 loss: 1.5393 2022/08/17 04:57:37 - mmengine - INFO - Epoch(train) [219][600/3757] lr: 5.3388e-03 eta: 15:56:00 time: 0.4114 data_time: 0.0173 memory: 13431 grad_norm: 6.2043 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8917 loss: 1.8917 2022/08/17 04:58:19 - mmengine - INFO - Epoch(train) [219][700/3757] lr: 5.3388e-03 eta: 15:55:20 time: 0.4128 data_time: 0.0175 memory: 13431 grad_norm: 6.2514 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6214 loss: 1.6214 2022/08/17 04:59:00 - mmengine - INFO - Epoch(train) [219][800/3757] lr: 5.3388e-03 eta: 15:54:40 time: 0.4107 data_time: 0.0159 memory: 13431 grad_norm: 6.3302 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5414 loss: 1.5414 2022/08/17 04:59:41 - mmengine - INFO - Epoch(train) [219][900/3757] lr: 5.3388e-03 eta: 15:54:00 time: 0.4109 data_time: 0.0165 memory: 13431 grad_norm: 6.2962 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7639 loss: 1.7639 2022/08/17 05:00:12 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 05:00:23 - mmengine - INFO - Epoch(train) [219][1000/3757] lr: 5.3388e-03 eta: 15:53:20 time: 0.4178 data_time: 0.0158 memory: 13431 grad_norm: 6.2047 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7475 loss: 1.7475 2022/08/17 05:01:04 - mmengine - INFO - Epoch(train) [219][1100/3757] lr: 5.3388e-03 eta: 15:52:39 time: 0.4188 data_time: 0.0162 memory: 13431 grad_norm: 6.2930 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7204 loss: 1.7204 2022/08/17 05:01:46 - mmengine - INFO - Epoch(train) [219][1200/3757] lr: 5.3388e-03 eta: 15:51:59 time: 0.4111 data_time: 0.0164 memory: 13431 grad_norm: 6.3094 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8895 loss: 1.8895 2022/08/17 05:02:27 - mmengine - INFO - Epoch(train) [219][1300/3757] lr: 5.3388e-03 eta: 15:51:19 time: 0.4092 data_time: 0.0161 memory: 13431 grad_norm: 6.0680 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8555 loss: 1.8555 2022/08/17 05:03:08 - mmengine - INFO - Epoch(train) [219][1400/3757] lr: 5.3388e-03 eta: 15:50:39 time: 0.4112 data_time: 0.0161 memory: 13431 grad_norm: 6.0186 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5810 loss: 1.5810 2022/08/17 05:03:50 - mmengine - INFO - Epoch(train) [219][1500/3757] lr: 5.3388e-03 eta: 15:49:59 time: 0.4174 data_time: 0.0169 memory: 13431 grad_norm: 5.9533 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5633 loss: 1.5633 2022/08/17 05:04:31 - mmengine - INFO - Epoch(train) [219][1600/3757] lr: 5.3388e-03 eta: 15:49:18 time: 0.4110 data_time: 0.0161 memory: 13431 grad_norm: 6.3901 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7300 loss: 1.7300 2022/08/17 05:05:12 - mmengine - INFO - Epoch(train) [219][1700/3757] lr: 5.3388e-03 eta: 15:48:38 time: 0.4138 data_time: 0.0163 memory: 13431 grad_norm: 6.0429 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2367 loss: 1.2367 2022/08/17 05:05:54 - mmengine - INFO - Epoch(train) [219][1800/3757] lr: 5.3388e-03 eta: 15:47:58 time: 0.4105 data_time: 0.0155 memory: 13431 grad_norm: 6.2808 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6804 loss: 1.6804 2022/08/17 05:06:35 - mmengine - INFO - Epoch(train) [219][1900/3757] lr: 5.3388e-03 eta: 15:47:18 time: 0.4072 data_time: 0.0148 memory: 13431 grad_norm: 5.8473 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3396 loss: 1.3396 2022/08/17 05:07:06 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 05:07:16 - mmengine - INFO - Epoch(train) [219][2000/3757] lr: 5.3388e-03 eta: 15:46:38 time: 0.4079 data_time: 0.0161 memory: 13431 grad_norm: 6.1600 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8029 loss: 1.8029 2022/08/17 05:07:58 - mmengine - INFO - Epoch(train) [219][2100/3757] lr: 5.3388e-03 eta: 15:45:57 time: 0.4088 data_time: 0.0153 memory: 13431 grad_norm: 6.2108 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5659 loss: 1.5659 2022/08/17 05:08:39 - mmengine - INFO - Epoch(train) [219][2200/3757] lr: 5.3388e-03 eta: 15:45:17 time: 0.4185 data_time: 0.0164 memory: 13431 grad_norm: 6.0843 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5221 loss: 1.5221 2022/08/17 05:09:20 - mmengine - INFO - Epoch(train) [219][2300/3757] lr: 5.3388e-03 eta: 15:44:37 time: 0.4110 data_time: 0.0152 memory: 13431 grad_norm: 6.3206 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5964 loss: 1.5964 2022/08/17 05:10:02 - mmengine - INFO - Epoch(train) [219][2400/3757] lr: 5.3388e-03 eta: 15:43:57 time: 0.4091 data_time: 0.0162 memory: 13431 grad_norm: 6.3600 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6566 loss: 1.6566 2022/08/17 05:10:43 - mmengine - INFO - Epoch(train) [219][2500/3757] lr: 5.3388e-03 eta: 15:43:17 time: 0.4151 data_time: 0.0168 memory: 13431 grad_norm: 6.2110 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4049 loss: 1.4049 2022/08/17 05:11:25 - mmengine - INFO - Epoch(train) [219][2600/3757] lr: 5.3388e-03 eta: 15:42:36 time: 0.4153 data_time: 0.0165 memory: 13431 grad_norm: 6.1100 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4025 loss: 1.4025 2022/08/17 05:12:06 - mmengine - INFO - Epoch(train) [219][2700/3757] lr: 5.3388e-03 eta: 15:41:56 time: 0.4086 data_time: 0.0147 memory: 13431 grad_norm: 6.4854 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7242 loss: 1.7242 2022/08/17 05:12:47 - mmengine - INFO - Epoch(train) [219][2800/3757] lr: 5.3388e-03 eta: 15:41:16 time: 0.4089 data_time: 0.0149 memory: 13431 grad_norm: 6.0929 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6335 loss: 1.6335 2022/08/17 05:13:29 - mmengine - INFO - Epoch(train) [219][2900/3757] lr: 5.3388e-03 eta: 15:40:36 time: 0.4099 data_time: 0.0157 memory: 13431 grad_norm: 6.1559 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8260 loss: 1.8260 2022/08/17 05:13:59 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 05:14:10 - mmengine - INFO - Epoch(train) [219][3000/3757] lr: 5.3388e-03 eta: 15:39:55 time: 0.4090 data_time: 0.0147 memory: 13431 grad_norm: 6.2997 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4005 loss: 1.4005 2022/08/17 05:14:52 - mmengine - INFO - Epoch(train) [219][3100/3757] lr: 5.3388e-03 eta: 15:39:15 time: 0.4073 data_time: 0.0156 memory: 13431 grad_norm: 6.0957 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6261 loss: 1.6261 2022/08/17 05:15:33 - mmengine - INFO - Epoch(train) [219][3200/3757] lr: 5.3388e-03 eta: 15:38:35 time: 0.4117 data_time: 0.0161 memory: 13431 grad_norm: 6.1971 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5082 loss: 1.5082 2022/08/17 05:16:15 - mmengine - INFO - Epoch(train) [219][3300/3757] lr: 5.3388e-03 eta: 15:37:55 time: 0.4204 data_time: 0.0161 memory: 13431 grad_norm: 6.0883 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6517 loss: 1.6517 2022/08/17 05:16:56 - mmengine - INFO - Epoch(train) [219][3400/3757] lr: 5.3388e-03 eta: 15:37:15 time: 0.4108 data_time: 0.0159 memory: 13431 grad_norm: 6.1704 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9373 loss: 1.9373 2022/08/17 05:17:37 - mmengine - INFO - Epoch(train) [219][3500/3757] lr: 5.3388e-03 eta: 15:36:34 time: 0.4094 data_time: 0.0170 memory: 13431 grad_norm: 6.0927 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.7796 loss: 1.7796 2022/08/17 05:18:18 - mmengine - INFO - Epoch(train) [219][3600/3757] lr: 5.3388e-03 eta: 15:35:54 time: 0.4066 data_time: 0.0159 memory: 13431 grad_norm: 6.1513 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7191 loss: 1.7191 2022/08/17 05:19:00 - mmengine - INFO - Epoch(train) [219][3700/3757] lr: 5.3388e-03 eta: 15:35:14 time: 0.4107 data_time: 0.0167 memory: 13431 grad_norm: 6.1481 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5065 loss: 1.5065 2022/08/17 05:19:23 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 05:19:23 - mmengine - INFO - Epoch(train) [219][3757/3757] lr: 5.3388e-03 eta: 15:34:58 time: 0.3956 data_time: 0.0151 memory: 13431 grad_norm: 6.3536 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.7090 loss: 1.7090 2022/08/17 05:20:07 - mmengine - INFO - Epoch(train) [220][100/3757] lr: 5.0663e-03 eta: 15:34:10 time: 0.4065 data_time: 0.0170 memory: 13431 grad_norm: 6.0754 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5022 loss: 1.5022 2022/08/17 05:20:48 - mmengine - INFO - Epoch(train) [220][200/3757] lr: 5.0663e-03 eta: 15:33:30 time: 0.4193 data_time: 0.0164 memory: 13431 grad_norm: 5.9784 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4395 loss: 1.4395 2022/08/17 05:20:55 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 05:21:29 - mmengine - INFO - Epoch(train) [220][300/3757] lr: 5.0663e-03 eta: 15:32:50 time: 0.4068 data_time: 0.0165 memory: 13431 grad_norm: 5.9716 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7459 loss: 1.7459 2022/08/17 05:22:11 - mmengine - INFO - Epoch(train) [220][400/3757] lr: 5.0663e-03 eta: 15:32:09 time: 0.4083 data_time: 0.0159 memory: 13431 grad_norm: 6.1061 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9032 loss: 1.9032 2022/08/17 05:22:52 - mmengine - INFO - Epoch(train) [220][500/3757] lr: 5.0663e-03 eta: 15:31:29 time: 0.4150 data_time: 0.0164 memory: 13431 grad_norm: 6.4142 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5409 loss: 1.5409 2022/08/17 05:23:34 - mmengine - INFO - Epoch(train) [220][600/3757] lr: 5.0663e-03 eta: 15:30:49 time: 0.4099 data_time: 0.0160 memory: 13431 grad_norm: 6.3424 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5754 loss: 1.5754 2022/08/17 05:24:15 - mmengine - INFO - Epoch(train) [220][700/3757] lr: 5.0663e-03 eta: 15:30:09 time: 0.4151 data_time: 0.0174 memory: 13431 grad_norm: 6.2119 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5492 loss: 1.5492 2022/08/17 05:24:56 - mmengine - INFO - Epoch(train) [220][800/3757] lr: 5.0663e-03 eta: 15:29:29 time: 0.4101 data_time: 0.0160 memory: 13431 grad_norm: 6.0135 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6510 loss: 1.6510 2022/08/17 05:25:38 - mmengine - INFO - Epoch(train) [220][900/3757] lr: 5.0663e-03 eta: 15:28:48 time: 0.4103 data_time: 0.0155 memory: 13431 grad_norm: 6.2231 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5743 loss: 1.5743 2022/08/17 05:26:19 - mmengine - INFO - Epoch(train) [220][1000/3757] lr: 5.0663e-03 eta: 15:28:08 time: 0.4080 data_time: 0.0158 memory: 13431 grad_norm: 6.2945 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7032 loss: 1.7032 2022/08/17 05:27:01 - mmengine - INFO - Epoch(train) [220][1100/3757] lr: 5.0663e-03 eta: 15:27:28 time: 0.4088 data_time: 0.0165 memory: 13431 grad_norm: 6.3057 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4215 loss: 1.4215 2022/08/17 05:27:42 - mmengine - INFO - Epoch(train) [220][1200/3757] lr: 5.0663e-03 eta: 15:26:48 time: 0.4076 data_time: 0.0164 memory: 13431 grad_norm: 6.2326 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3701 loss: 1.3701 2022/08/17 05:27:49 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 05:28:24 - mmengine - INFO - Epoch(train) [220][1300/3757] lr: 5.0663e-03 eta: 15:26:08 time: 0.4092 data_time: 0.0177 memory: 13431 grad_norm: 6.4998 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5283 loss: 1.5283 2022/08/17 05:29:05 - mmengine - INFO - Epoch(train) [220][1400/3757] lr: 5.0663e-03 eta: 15:25:27 time: 0.4131 data_time: 0.0171 memory: 13431 grad_norm: 6.3178 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6420 loss: 1.6420 2022/08/17 05:29:46 - mmengine - INFO - Epoch(train) [220][1500/3757] lr: 5.0663e-03 eta: 15:24:47 time: 0.4091 data_time: 0.0149 memory: 13431 grad_norm: 6.1570 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6017 loss: 1.6017 2022/08/17 05:30:28 - mmengine - INFO - Epoch(train) [220][1600/3757] lr: 5.0663e-03 eta: 15:24:07 time: 0.4185 data_time: 0.0156 memory: 13431 grad_norm: 6.1442 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7003 loss: 1.7003 2022/08/17 05:31:09 - mmengine - INFO - Epoch(train) [220][1700/3757] lr: 5.0663e-03 eta: 15:23:27 time: 0.4088 data_time: 0.0153 memory: 13431 grad_norm: 6.7011 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6565 loss: 1.6565 2022/08/17 05:31:51 - mmengine - INFO - Epoch(train) [220][1800/3757] lr: 5.0663e-03 eta: 15:22:46 time: 0.4082 data_time: 0.0159 memory: 13431 grad_norm: 6.3442 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5329 loss: 1.5329 2022/08/17 05:32:32 - mmengine - INFO - Epoch(train) [220][1900/3757] lr: 5.0663e-03 eta: 15:22:06 time: 0.4097 data_time: 0.0160 memory: 13431 grad_norm: 6.2742 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6495 loss: 1.6495 2022/08/17 05:33:14 - mmengine - INFO - Epoch(train) [220][2000/3757] lr: 5.0663e-03 eta: 15:21:26 time: 0.4100 data_time: 0.0169 memory: 13431 grad_norm: 6.1691 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5499 loss: 1.5499 2022/08/17 05:33:55 - mmengine - INFO - Epoch(train) [220][2100/3757] lr: 5.0663e-03 eta: 15:20:46 time: 0.4086 data_time: 0.0153 memory: 13431 grad_norm: 6.4180 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6224 loss: 1.6224 2022/08/17 05:34:36 - mmengine - INFO - Epoch(train) [220][2200/3757] lr: 5.0663e-03 eta: 15:20:06 time: 0.4099 data_time: 0.0159 memory: 13431 grad_norm: 6.4207 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8383 loss: 1.8383 2022/08/17 05:34:43 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 05:35:18 - mmengine - INFO - Epoch(train) [220][2300/3757] lr: 5.0663e-03 eta: 15:19:25 time: 0.4172 data_time: 0.0154 memory: 13431 grad_norm: 5.9532 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9520 loss: 1.9520 2022/08/17 05:35:59 - mmengine - INFO - Epoch(train) [220][2400/3757] lr: 5.0663e-03 eta: 15:18:45 time: 0.4067 data_time: 0.0163 memory: 13431 grad_norm: 6.5490 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8173 loss: 1.8173 2022/08/17 05:36:40 - mmengine - INFO - Epoch(train) [220][2500/3757] lr: 5.0663e-03 eta: 15:18:05 time: 0.4088 data_time: 0.0157 memory: 13431 grad_norm: 6.3542 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.9879 loss: 1.9879 2022/08/17 05:37:22 - mmengine - INFO - Epoch(train) [220][2600/3757] lr: 5.0663e-03 eta: 15:17:25 time: 0.4124 data_time: 0.0169 memory: 13431 grad_norm: 6.2034 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4693 loss: 1.4693 2022/08/17 05:38:03 - mmengine - INFO - Epoch(train) [220][2700/3757] lr: 5.0663e-03 eta: 15:16:45 time: 0.4144 data_time: 0.0174 memory: 13431 grad_norm: 6.6313 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8211 loss: 1.8211 2022/08/17 05:38:45 - mmengine - INFO - Epoch(train) [220][2800/3757] lr: 5.0663e-03 eta: 15:16:04 time: 0.4103 data_time: 0.0163 memory: 13431 grad_norm: 6.4654 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5170 loss: 1.5170 2022/08/17 05:39:26 - mmengine - INFO - Epoch(train) [220][2900/3757] lr: 5.0663e-03 eta: 15:15:24 time: 0.4082 data_time: 0.0154 memory: 13431 grad_norm: 6.5260 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.6470 loss: 1.6470 2022/08/17 05:40:08 - mmengine - INFO - Epoch(train) [220][3000/3757] lr: 5.0663e-03 eta: 15:14:44 time: 0.4145 data_time: 0.0156 memory: 13431 grad_norm: 6.0039 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.5529 loss: 1.5529 2022/08/17 05:40:49 - mmengine - INFO - Epoch(train) [220][3100/3757] lr: 5.0663e-03 eta: 15:14:04 time: 0.4079 data_time: 0.0154 memory: 13431 grad_norm: 6.1144 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6960 loss: 1.6960 2022/08/17 05:41:30 - mmengine - INFO - Epoch(train) [220][3200/3757] lr: 5.0663e-03 eta: 15:13:23 time: 0.4077 data_time: 0.0151 memory: 13431 grad_norm: 6.3073 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4792 loss: 1.4792 2022/08/17 05:41:37 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 05:42:11 - mmengine - INFO - Epoch(train) [220][3300/3757] lr: 5.0663e-03 eta: 15:12:43 time: 0.4103 data_time: 0.0166 memory: 13431 grad_norm: 6.5333 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6431 loss: 1.6431 2022/08/17 05:42:53 - mmengine - INFO - Epoch(train) [220][3400/3757] lr: 5.0663e-03 eta: 15:12:03 time: 0.4098 data_time: 0.0159 memory: 13431 grad_norm: 6.5531 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6553 loss: 1.6553 2022/08/17 05:43:34 - mmengine - INFO - Epoch(train) [220][3500/3757] lr: 5.0663e-03 eta: 15:11:23 time: 0.4095 data_time: 0.0157 memory: 13431 grad_norm: 6.3060 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6843 loss: 1.6843 2022/08/17 05:44:16 - mmengine - INFO - Epoch(train) [220][3600/3757] lr: 5.0663e-03 eta: 15:10:43 time: 0.4108 data_time: 0.0153 memory: 13431 grad_norm: 6.2277 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7418 loss: 1.7418 2022/08/17 05:44:57 - mmengine - INFO - Epoch(train) [220][3700/3757] lr: 5.0663e-03 eta: 15:10:02 time: 0.4086 data_time: 0.0155 memory: 13431 grad_norm: 6.3285 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5509 loss: 1.5509 2022/08/17 05:45:21 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 05:45:21 - mmengine - INFO - Epoch(train) [220][3757/3757] lr: 5.0663e-03 eta: 15:09:46 time: 0.3940 data_time: 0.0149 memory: 13431 grad_norm: 6.3345 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.5973 loss: 1.5973 2022/08/17 05:45:21 - mmengine - INFO - Saving checkpoint at 220 epochs 2022/08/17 05:45:50 - mmengine - INFO - Epoch(val) [220][100/310] eta: 0:00:50 time: 0.2396 data_time: 0.1127 memory: 1974 2022/08/17 05:46:11 - mmengine - INFO - Epoch(val) [220][200/310] eta: 0:00:21 time: 0.1997 data_time: 0.0697 memory: 1974 2022/08/17 05:46:30 - mmengine - INFO - Epoch(val) [220][300/310] eta: 0:00:01 time: 0.1227 data_time: 0.0152 memory: 1974 2022/08/17 05:46:32 - mmengine - INFO - Epoch(val) [220][310/310] acc/top1: 0.6584 acc/top5: 0.8647 acc/mean1: 0.6583 2022/08/17 05:46:32 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_216.pth is removed 2022/08/17 05:46:36 - mmengine - INFO - The best checkpoint with 0.6584 acc/top1 at 221 epoch is saved to best_acc/top1_epoch_221.pth. 2022/08/17 05:47:19 - mmengine - INFO - Epoch(train) [221][100/3757] lr: 4.8005e-03 eta: 15:08:58 time: 0.4126 data_time: 0.0166 memory: 13431 grad_norm: 6.2293 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7731 loss: 1.7731 2022/08/17 05:48:00 - mmengine - INFO - Epoch(train) [221][200/3757] lr: 4.8005e-03 eta: 15:08:18 time: 0.4073 data_time: 0.0161 memory: 13431 grad_norm: 6.1793 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6370 loss: 1.6370 2022/08/17 05:48:41 - mmengine - INFO - Epoch(train) [221][300/3757] lr: 4.8005e-03 eta: 15:07:38 time: 0.4117 data_time: 0.0163 memory: 13431 grad_norm: 6.3087 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4321 loss: 1.4321 2022/08/17 05:49:23 - mmengine - INFO - Epoch(train) [221][400/3757] lr: 4.8005e-03 eta: 15:06:58 time: 0.4085 data_time: 0.0152 memory: 13431 grad_norm: 6.3574 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6839 loss: 1.6839 2022/08/17 05:49:48 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 05:50:04 - mmengine - INFO - Epoch(train) [221][500/3757] lr: 4.8005e-03 eta: 15:06:17 time: 0.4097 data_time: 0.0153 memory: 13431 grad_norm: 6.4051 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6655 loss: 1.6655 2022/08/17 05:50:45 - mmengine - INFO - Epoch(train) [221][600/3757] lr: 4.8005e-03 eta: 15:05:37 time: 0.4078 data_time: 0.0162 memory: 13431 grad_norm: 6.1640 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5530 loss: 1.5530 2022/08/17 05:51:27 - mmengine - INFO - Epoch(train) [221][700/3757] lr: 4.8005e-03 eta: 15:04:57 time: 0.4109 data_time: 0.0154 memory: 13431 grad_norm: 6.2944 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8709 loss: 1.8709 2022/08/17 05:52:08 - mmengine - INFO - Epoch(train) [221][800/3757] lr: 4.8005e-03 eta: 15:04:17 time: 0.4104 data_time: 0.0155 memory: 13431 grad_norm: 6.6045 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5406 loss: 1.5406 2022/08/17 05:52:49 - mmengine - INFO - Epoch(train) [221][900/3757] lr: 4.8005e-03 eta: 15:03:36 time: 0.4166 data_time: 0.0165 memory: 13431 grad_norm: 6.4976 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9073 loss: 1.9073 2022/08/17 05:53:31 - mmengine - INFO - Epoch(train) [221][1000/3757] lr: 4.8005e-03 eta: 15:02:56 time: 0.4079 data_time: 0.0159 memory: 13431 grad_norm: 6.3983 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.4120 loss: 1.4120 2022/08/17 05:54:12 - mmengine - INFO - Epoch(train) [221][1100/3757] lr: 4.8005e-03 eta: 15:02:16 time: 0.4085 data_time: 0.0169 memory: 13431 grad_norm: 6.1907 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4355 loss: 1.4355 2022/08/17 05:54:54 - mmengine - INFO - Epoch(train) [221][1200/3757] lr: 4.8005e-03 eta: 15:01:36 time: 0.4157 data_time: 0.0156 memory: 13431 grad_norm: 6.4106 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5984 loss: 1.5984 2022/08/17 05:55:35 - mmengine - INFO - Epoch(train) [221][1300/3757] lr: 4.8005e-03 eta: 15:00:56 time: 0.4111 data_time: 0.0161 memory: 13431 grad_norm: 6.3640 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5851 loss: 1.5851 2022/08/17 05:56:16 - mmengine - INFO - Epoch(train) [221][1400/3757] lr: 4.8005e-03 eta: 15:00:15 time: 0.4087 data_time: 0.0149 memory: 13431 grad_norm: 6.3233 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9711 loss: 1.9711 2022/08/17 05:56:41 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 05:56:58 - mmengine - INFO - Epoch(train) [221][1500/3757] lr: 4.8005e-03 eta: 14:59:35 time: 0.4092 data_time: 0.0155 memory: 13431 grad_norm: 6.2795 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6259 loss: 1.6259 2022/08/17 05:57:39 - mmengine - INFO - Epoch(train) [221][1600/3757] lr: 4.8005e-03 eta: 14:58:55 time: 0.4091 data_time: 0.0160 memory: 13431 grad_norm: 6.4829 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4321 loss: 1.4321 2022/08/17 05:58:21 - mmengine - INFO - Epoch(train) [221][1700/3757] lr: 4.8005e-03 eta: 14:58:15 time: 0.4066 data_time: 0.0153 memory: 13431 grad_norm: 6.3241 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5536 loss: 1.5536 2022/08/17 05:59:02 - mmengine - INFO - Epoch(train) [221][1800/3757] lr: 4.8005e-03 eta: 14:57:34 time: 0.4081 data_time: 0.0165 memory: 13431 grad_norm: 6.4488 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7335 loss: 1.7335 2022/08/17 05:59:43 - mmengine - INFO - Epoch(train) [221][1900/3757] lr: 4.8005e-03 eta: 14:56:54 time: 0.4143 data_time: 0.0162 memory: 13431 grad_norm: 6.1487 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5141 loss: 1.5141 2022/08/17 06:00:29 - mmengine - INFO - Epoch(train) [221][2000/3757] lr: 4.8005e-03 eta: 14:56:15 time: 0.4140 data_time: 0.0169 memory: 13431 grad_norm: 6.5026 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9413 loss: 1.9413 2022/08/17 06:01:11 - mmengine - INFO - Epoch(train) [221][2100/3757] lr: 4.8005e-03 eta: 14:55:35 time: 0.4117 data_time: 0.0153 memory: 13431 grad_norm: 6.2782 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5013 loss: 1.5013 2022/08/17 06:01:52 - mmengine - INFO - Epoch(train) [221][2200/3757] lr: 4.8005e-03 eta: 14:54:54 time: 0.4109 data_time: 0.0168 memory: 13431 grad_norm: 6.5302 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5767 loss: 1.5767 2022/08/17 06:02:33 - mmengine - INFO - Epoch(train) [221][2300/3757] lr: 4.8005e-03 eta: 14:54:14 time: 0.4170 data_time: 0.0165 memory: 13431 grad_norm: 6.2799 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5206 loss: 1.5206 2022/08/17 06:03:15 - mmengine - INFO - Epoch(train) [221][2400/3757] lr: 4.8005e-03 eta: 14:53:34 time: 0.4139 data_time: 0.0178 memory: 13431 grad_norm: 6.4520 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4533 loss: 1.4533 2022/08/17 06:03:40 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 06:03:56 - mmengine - INFO - Epoch(train) [221][2500/3757] lr: 4.8005e-03 eta: 14:52:54 time: 0.4092 data_time: 0.0160 memory: 13431 grad_norm: 6.5666 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9108 loss: 1.9108 2022/08/17 06:04:37 - mmengine - INFO - Epoch(train) [221][2600/3757] lr: 4.8005e-03 eta: 14:52:13 time: 0.4146 data_time: 0.0171 memory: 13431 grad_norm: 6.3162 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6757 loss: 1.6757 2022/08/17 06:05:19 - mmengine - INFO - Epoch(train) [221][2700/3757] lr: 4.8005e-03 eta: 14:51:33 time: 0.4140 data_time: 0.0164 memory: 13431 grad_norm: 6.4968 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5811 loss: 1.5811 2022/08/17 06:06:00 - mmengine - INFO - Epoch(train) [221][2800/3757] lr: 4.8005e-03 eta: 14:50:53 time: 0.4093 data_time: 0.0155 memory: 13431 grad_norm: 6.4617 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2826 loss: 1.2826 2022/08/17 06:06:41 - mmengine - INFO - Epoch(train) [221][2900/3757] lr: 4.8005e-03 eta: 14:50:13 time: 0.4078 data_time: 0.0156 memory: 13431 grad_norm: 6.3408 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 1.7524 loss: 1.7524 2022/08/17 06:07:23 - mmengine - INFO - Epoch(train) [221][3000/3757] lr: 4.8005e-03 eta: 14:49:32 time: 0.4171 data_time: 0.0159 memory: 13431 grad_norm: 6.3694 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6376 loss: 1.6376 2022/08/17 06:08:04 - mmengine - INFO - Epoch(train) [221][3100/3757] lr: 4.8005e-03 eta: 14:48:52 time: 0.4123 data_time: 0.0167 memory: 13431 grad_norm: 6.5453 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6380 loss: 1.6380 2022/08/17 06:08:46 - mmengine - INFO - Epoch(train) [221][3200/3757] lr: 4.8005e-03 eta: 14:48:12 time: 0.4193 data_time: 0.0165 memory: 13431 grad_norm: 6.3737 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6104 loss: 1.6104 2022/08/17 06:09:27 - mmengine - INFO - Epoch(train) [221][3300/3757] lr: 4.8005e-03 eta: 14:47:32 time: 0.4103 data_time: 0.0165 memory: 13431 grad_norm: 6.1700 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5795 loss: 1.5795 2022/08/17 06:10:09 - mmengine - INFO - Epoch(train) [221][3400/3757] lr: 4.8005e-03 eta: 14:46:52 time: 0.4140 data_time: 0.0172 memory: 13431 grad_norm: 6.4118 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5085 loss: 1.5085 2022/08/17 06:10:34 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 06:10:50 - mmengine - INFO - Epoch(train) [221][3500/3757] lr: 4.8005e-03 eta: 14:46:11 time: 0.4080 data_time: 0.0158 memory: 13431 grad_norm: 6.2897 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6421 loss: 1.6421 2022/08/17 06:11:31 - mmengine - INFO - Epoch(train) [221][3600/3757] lr: 4.8005e-03 eta: 14:45:31 time: 0.4078 data_time: 0.0149 memory: 13431 grad_norm: 6.3475 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6529 loss: 1.6529 2022/08/17 06:12:12 - mmengine - INFO - Epoch(train) [221][3700/3757] lr: 4.8005e-03 eta: 14:44:51 time: 0.4126 data_time: 0.0161 memory: 13431 grad_norm: 6.4198 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6859 loss: 1.6859 2022/08/17 06:12:36 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 06:12:36 - mmengine - INFO - Epoch(train) [221][3757/3757] lr: 4.8005e-03 eta: 14:44:35 time: 0.3981 data_time: 0.0143 memory: 13431 grad_norm: 6.4875 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.8216 loss: 1.8216 2022/08/17 06:13:19 - mmengine - INFO - Epoch(train) [222][100/3757] lr: 4.5416e-03 eta: 14:43:47 time: 0.4189 data_time: 0.0164 memory: 13431 grad_norm: 6.2623 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6286 loss: 1.6286 2022/08/17 06:14:01 - mmengine - INFO - Epoch(train) [222][200/3757] lr: 4.5416e-03 eta: 14:43:07 time: 0.4100 data_time: 0.0157 memory: 13431 grad_norm: 6.1500 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5949 loss: 1.5949 2022/08/17 06:14:42 - mmengine - INFO - Epoch(train) [222][300/3757] lr: 4.5416e-03 eta: 14:42:26 time: 0.4085 data_time: 0.0155 memory: 13431 grad_norm: 6.4598 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6828 loss: 1.6828 2022/08/17 06:15:24 - mmengine - INFO - Epoch(train) [222][400/3757] lr: 4.5416e-03 eta: 14:41:46 time: 0.4090 data_time: 0.0154 memory: 13431 grad_norm: 6.1979 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3813 loss: 1.3813 2022/08/17 06:16:05 - mmengine - INFO - Epoch(train) [222][500/3757] lr: 4.5416e-03 eta: 14:41:06 time: 0.4089 data_time: 0.0157 memory: 13431 grad_norm: 6.3804 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4788 loss: 1.4788 2022/08/17 06:16:46 - mmengine - INFO - Epoch(train) [222][600/3757] lr: 4.5416e-03 eta: 14:40:26 time: 0.4088 data_time: 0.0155 memory: 13431 grad_norm: 6.5285 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5083 loss: 1.5083 2022/08/17 06:17:27 - mmengine - INFO - Epoch(train) [222][700/3757] lr: 4.5416e-03 eta: 14:39:45 time: 0.4084 data_time: 0.0156 memory: 13431 grad_norm: 6.6609 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8417 loss: 1.8417 2022/08/17 06:17:29 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 06:18:09 - mmengine - INFO - Epoch(train) [222][800/3757] lr: 4.5416e-03 eta: 14:39:05 time: 0.4077 data_time: 0.0151 memory: 13431 grad_norm: 6.4350 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5455 loss: 1.5455 2022/08/17 06:18:50 - mmengine - INFO - Epoch(train) [222][900/3757] lr: 4.5416e-03 eta: 14:38:25 time: 0.4093 data_time: 0.0150 memory: 13431 grad_norm: 6.2676 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5292 loss: 1.5292 2022/08/17 06:19:31 - mmengine - INFO - Epoch(train) [222][1000/3757] lr: 4.5416e-03 eta: 14:37:45 time: 0.4071 data_time: 0.0163 memory: 13431 grad_norm: 6.2909 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7629 loss: 1.7629 2022/08/17 06:20:13 - mmengine - INFO - Epoch(train) [222][1100/3757] lr: 4.5416e-03 eta: 14:37:05 time: 0.4118 data_time: 0.0170 memory: 13431 grad_norm: 6.4727 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3664 loss: 1.3664 2022/08/17 06:20:54 - mmengine - INFO - Epoch(train) [222][1200/3757] lr: 4.5416e-03 eta: 14:36:24 time: 0.4106 data_time: 0.0148 memory: 13431 grad_norm: 6.5023 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4474 loss: 1.4474 2022/08/17 06:21:35 - mmengine - INFO - Epoch(train) [222][1300/3757] lr: 4.5416e-03 eta: 14:35:44 time: 0.4095 data_time: 0.0158 memory: 13431 grad_norm: 6.7643 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5572 loss: 1.5572 2022/08/17 06:22:17 - mmengine - INFO - Epoch(train) [222][1400/3757] lr: 4.5416e-03 eta: 14:35:04 time: 0.4145 data_time: 0.0169 memory: 13431 grad_norm: 6.6765 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7081 loss: 1.7081 2022/08/17 06:22:58 - mmengine - INFO - Epoch(train) [222][1500/3757] lr: 4.5416e-03 eta: 14:34:24 time: 0.4079 data_time: 0.0164 memory: 13431 grad_norm: 6.2251 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2810 loss: 1.2810 2022/08/17 06:23:40 - mmengine - INFO - Epoch(train) [222][1600/3757] lr: 4.5416e-03 eta: 14:33:43 time: 0.4089 data_time: 0.0155 memory: 13431 grad_norm: 6.6327 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5859 loss: 1.5859 2022/08/17 06:24:21 - mmengine - INFO - Epoch(train) [222][1700/3757] lr: 4.5416e-03 eta: 14:33:03 time: 0.4098 data_time: 0.0148 memory: 13431 grad_norm: 6.3104 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6469 loss: 1.6469 2022/08/17 06:24:22 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 06:25:02 - mmengine - INFO - Epoch(train) [222][1800/3757] lr: 4.5416e-03 eta: 14:32:23 time: 0.4144 data_time: 0.0155 memory: 13431 grad_norm: 6.5315 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4759 loss: 1.4759 2022/08/17 06:25:44 - mmengine - INFO - Epoch(train) [222][1900/3757] lr: 4.5416e-03 eta: 14:31:43 time: 0.4094 data_time: 0.0162 memory: 13431 grad_norm: 6.6499 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5343 loss: 1.5343 2022/08/17 06:26:25 - mmengine - INFO - Epoch(train) [222][2000/3757] lr: 4.5416e-03 eta: 14:31:02 time: 0.4112 data_time: 0.0171 memory: 13431 grad_norm: 6.5148 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5603 loss: 1.5603 2022/08/17 06:27:06 - mmengine - INFO - Epoch(train) [222][2100/3757] lr: 4.5416e-03 eta: 14:30:22 time: 0.4097 data_time: 0.0152 memory: 13431 grad_norm: 6.2532 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6067 loss: 1.6067 2022/08/17 06:27:48 - mmengine - INFO - Epoch(train) [222][2200/3757] lr: 4.5416e-03 eta: 14:29:42 time: 0.4091 data_time: 0.0166 memory: 13431 grad_norm: 6.3658 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6433 loss: 1.6433 2022/08/17 06:28:29 - mmengine - INFO - Epoch(train) [222][2300/3757] lr: 4.5416e-03 eta: 14:29:02 time: 0.4107 data_time: 0.0164 memory: 13431 grad_norm: 6.5226 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3287 loss: 1.3287 2022/08/17 06:29:11 - mmengine - INFO - Epoch(train) [222][2400/3757] lr: 4.5416e-03 eta: 14:28:22 time: 0.4100 data_time: 0.0165 memory: 13431 grad_norm: 6.3469 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4395 loss: 1.4395 2022/08/17 06:29:52 - mmengine - INFO - Epoch(train) [222][2500/3757] lr: 4.5416e-03 eta: 14:27:41 time: 0.4194 data_time: 0.0165 memory: 13431 grad_norm: 6.8514 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7409 loss: 1.7409 2022/08/17 06:30:33 - mmengine - INFO - Epoch(train) [222][2600/3757] lr: 4.5416e-03 eta: 14:27:01 time: 0.4096 data_time: 0.0158 memory: 13431 grad_norm: 6.6560 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6230 loss: 1.6230 2022/08/17 06:31:15 - mmengine - INFO - Epoch(train) [222][2700/3757] lr: 4.5416e-03 eta: 14:26:21 time: 0.4071 data_time: 0.0154 memory: 13431 grad_norm: 6.6664 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8390 loss: 1.8390 2022/08/17 06:31:16 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 06:31:56 - mmengine - INFO - Epoch(train) [222][2800/3757] lr: 4.5416e-03 eta: 14:25:41 time: 0.4093 data_time: 0.0156 memory: 13431 grad_norm: 6.4523 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7878 loss: 1.7878 2022/08/17 06:32:38 - mmengine - INFO - Epoch(train) [222][2900/3757] lr: 4.5416e-03 eta: 14:25:00 time: 0.4169 data_time: 0.0164 memory: 13431 grad_norm: 6.5359 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4494 loss: 1.4494 2022/08/17 06:33:19 - mmengine - INFO - Epoch(train) [222][3000/3757] lr: 4.5416e-03 eta: 14:24:20 time: 0.4133 data_time: 0.0163 memory: 13431 grad_norm: 6.4494 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5802 loss: 1.5802 2022/08/17 06:34:00 - mmengine - INFO - Epoch(train) [222][3100/3757] lr: 4.5416e-03 eta: 14:23:40 time: 0.4124 data_time: 0.0171 memory: 13431 grad_norm: 6.5415 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.5767 loss: 1.5767 2022/08/17 06:34:42 - mmengine - INFO - Epoch(train) [222][3200/3757] lr: 4.5416e-03 eta: 14:23:00 time: 0.4079 data_time: 0.0152 memory: 13431 grad_norm: 6.4184 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5407 loss: 1.5407 2022/08/17 06:35:23 - mmengine - INFO - Epoch(train) [222][3300/3757] lr: 4.5416e-03 eta: 14:22:19 time: 0.4082 data_time: 0.0158 memory: 13431 grad_norm: 6.6279 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7971 loss: 1.7971 2022/08/17 06:36:04 - mmengine - INFO - Epoch(train) [222][3400/3757] lr: 4.5416e-03 eta: 14:21:39 time: 0.4090 data_time: 0.0155 memory: 13431 grad_norm: 6.7629 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5733 loss: 1.5733 2022/08/17 06:36:46 - mmengine - INFO - Epoch(train) [222][3500/3757] lr: 4.5416e-03 eta: 14:20:59 time: 0.4115 data_time: 0.0156 memory: 13431 grad_norm: 6.6880 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7322 loss: 1.7322 2022/08/17 06:37:27 - mmengine - INFO - Epoch(train) [222][3600/3757] lr: 4.5416e-03 eta: 14:20:19 time: 0.4106 data_time: 0.0168 memory: 13431 grad_norm: 6.6601 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3931 loss: 1.3931 2022/08/17 06:38:09 - mmengine - INFO - Epoch(train) [222][3700/3757] lr: 4.5416e-03 eta: 14:19:38 time: 0.4149 data_time: 0.0167 memory: 13431 grad_norm: 6.6258 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6529 loss: 1.6529 2022/08/17 06:38:10 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 06:38:32 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 06:38:32 - mmengine - INFO - Epoch(train) [222][3757/3757] lr: 4.5416e-03 eta: 14:19:22 time: 0.3982 data_time: 0.0150 memory: 13431 grad_norm: 6.2693 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.5617 loss: 1.5617 2022/08/17 06:39:16 - mmengine - INFO - Epoch(train) [223][100/3757] lr: 4.2895e-03 eta: 14:18:35 time: 0.4108 data_time: 0.0169 memory: 13431 grad_norm: 6.7006 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7614 loss: 1.7614 2022/08/17 06:39:57 - mmengine - INFO - Epoch(train) [223][200/3757] lr: 4.2895e-03 eta: 14:17:54 time: 0.4091 data_time: 0.0149 memory: 13431 grad_norm: 6.4355 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4369 loss: 1.4369 2022/08/17 06:40:38 - mmengine - INFO - Epoch(train) [223][300/3757] lr: 4.2895e-03 eta: 14:17:14 time: 0.4111 data_time: 0.0166 memory: 13431 grad_norm: 6.4941 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4056 loss: 1.4056 2022/08/17 06:41:20 - mmengine - INFO - Epoch(train) [223][400/3757] lr: 4.2895e-03 eta: 14:16:34 time: 0.4138 data_time: 0.0157 memory: 13431 grad_norm: 6.4853 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2543 loss: 1.2543 2022/08/17 06:42:01 - mmengine - INFO - Epoch(train) [223][500/3757] lr: 4.2895e-03 eta: 14:15:54 time: 0.4110 data_time: 0.0167 memory: 13431 grad_norm: 6.7219 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3554 loss: 1.3554 2022/08/17 06:42:42 - mmengine - INFO - Epoch(train) [223][600/3757] lr: 4.2895e-03 eta: 14:15:13 time: 0.4116 data_time: 0.0165 memory: 13431 grad_norm: 6.5803 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7200 loss: 1.7200 2022/08/17 06:43:24 - mmengine - INFO - Epoch(train) [223][700/3757] lr: 4.2895e-03 eta: 14:14:33 time: 0.4110 data_time: 0.0167 memory: 13431 grad_norm: 6.6267 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4623 loss: 1.4623 2022/08/17 06:44:05 - mmengine - INFO - Epoch(train) [223][800/3757] lr: 4.2895e-03 eta: 14:13:53 time: 0.4093 data_time: 0.0163 memory: 13431 grad_norm: 6.5353 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7174 loss: 1.7174 2022/08/17 06:44:47 - mmengine - INFO - Epoch(train) [223][900/3757] lr: 4.2895e-03 eta: 14:13:13 time: 0.4090 data_time: 0.0150 memory: 13431 grad_norm: 6.4991 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6316 loss: 1.6316 2022/08/17 06:45:06 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 06:45:28 - mmengine - INFO - Epoch(train) [223][1000/3757] lr: 4.2895e-03 eta: 14:12:32 time: 0.4090 data_time: 0.0153 memory: 13431 grad_norm: 6.4327 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0503 loss: 2.0503 2022/08/17 06:46:09 - mmengine - INFO - Epoch(train) [223][1100/3757] lr: 4.2895e-03 eta: 14:11:52 time: 0.4136 data_time: 0.0163 memory: 13431 grad_norm: 6.6182 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7199 loss: 1.7199 2022/08/17 06:46:51 - mmengine - INFO - Epoch(train) [223][1200/3757] lr: 4.2895e-03 eta: 14:11:12 time: 0.4104 data_time: 0.0178 memory: 13431 grad_norm: 6.7493 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3856 loss: 1.3856 2022/08/17 06:47:32 - mmengine - INFO - Epoch(train) [223][1300/3757] lr: 4.2895e-03 eta: 14:10:32 time: 0.4218 data_time: 0.0159 memory: 13431 grad_norm: 6.5255 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5618 loss: 1.5618 2022/08/17 06:48:14 - mmengine - INFO - Epoch(train) [223][1400/3757] lr: 4.2895e-03 eta: 14:09:51 time: 0.4085 data_time: 0.0152 memory: 13431 grad_norm: 6.4038 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4113 loss: 1.4113 2022/08/17 06:48:55 - mmengine - INFO - Epoch(train) [223][1500/3757] lr: 4.2895e-03 eta: 14:09:11 time: 0.4101 data_time: 0.0155 memory: 13431 grad_norm: 6.3518 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8775 loss: 1.8775 2022/08/17 06:49:36 - mmengine - INFO - Epoch(train) [223][1600/3757] lr: 4.2895e-03 eta: 14:08:31 time: 0.4094 data_time: 0.0158 memory: 13431 grad_norm: 6.4260 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5609 loss: 1.5609 2022/08/17 06:50:18 - mmengine - INFO - Epoch(train) [223][1700/3757] lr: 4.2895e-03 eta: 14:07:51 time: 0.4145 data_time: 0.0181 memory: 13431 grad_norm: 6.4026 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4384 loss: 1.4384 2022/08/17 06:50:59 - mmengine - INFO - Epoch(train) [223][1800/3757] lr: 4.2895e-03 eta: 14:07:10 time: 0.4119 data_time: 0.0165 memory: 13431 grad_norm: 6.6551 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9022 loss: 1.9022 2022/08/17 06:51:40 - mmengine - INFO - Epoch(train) [223][1900/3757] lr: 4.2895e-03 eta: 14:06:30 time: 0.4082 data_time: 0.0166 memory: 13431 grad_norm: 6.4237 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6655 loss: 1.6655 2022/08/17 06:52:00 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 06:52:22 - mmengine - INFO - Epoch(train) [223][2000/3757] lr: 4.2895e-03 eta: 14:05:50 time: 0.4138 data_time: 0.0166 memory: 13431 grad_norm: 6.6084 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6883 loss: 1.6883 2022/08/17 06:53:03 - mmengine - INFO - Epoch(train) [223][2100/3757] lr: 4.2895e-03 eta: 14:05:10 time: 0.4093 data_time: 0.0162 memory: 13431 grad_norm: 6.5529 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.7147 loss: 1.7147 2022/08/17 06:53:45 - mmengine - INFO - Epoch(train) [223][2200/3757] lr: 4.2895e-03 eta: 14:04:30 time: 0.4125 data_time: 0.0172 memory: 13431 grad_norm: 6.5490 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2726 loss: 1.2726 2022/08/17 06:54:26 - mmengine - INFO - Epoch(train) [223][2300/3757] lr: 4.2895e-03 eta: 14:03:49 time: 0.4111 data_time: 0.0152 memory: 13431 grad_norm: 6.4895 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6534 loss: 1.6534 2022/08/17 06:55:08 - mmengine - INFO - Epoch(train) [223][2400/3757] lr: 4.2895e-03 eta: 14:03:09 time: 0.4118 data_time: 0.0164 memory: 13431 grad_norm: 6.7880 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5770 loss: 1.5770 2022/08/17 06:55:49 - mmengine - INFO - Epoch(train) [223][2500/3757] lr: 4.2895e-03 eta: 14:02:29 time: 0.4097 data_time: 0.0158 memory: 13431 grad_norm: 6.5067 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4885 loss: 1.4885 2022/08/17 06:56:30 - mmengine - INFO - Epoch(train) [223][2600/3757] lr: 4.2895e-03 eta: 14:01:49 time: 0.4086 data_time: 0.0160 memory: 13431 grad_norm: 6.5107 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4880 loss: 1.4880 2022/08/17 06:57:12 - mmengine - INFO - Epoch(train) [223][2700/3757] lr: 4.2895e-03 eta: 14:01:08 time: 0.4155 data_time: 0.0161 memory: 13431 grad_norm: 6.6203 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5997 loss: 1.5997 2022/08/17 06:57:54 - mmengine - INFO - Epoch(train) [223][2800/3757] lr: 4.2895e-03 eta: 14:00:28 time: 0.4119 data_time: 0.0161 memory: 13431 grad_norm: 6.5952 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0081 loss: 2.0081 2022/08/17 06:58:35 - mmengine - INFO - Epoch(train) [223][2900/3757] lr: 4.2895e-03 eta: 13:59:48 time: 0.4119 data_time: 0.0174 memory: 13431 grad_norm: 6.6440 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5851 loss: 1.5851 2022/08/17 06:58:54 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 06:59:17 - mmengine - INFO - Epoch(train) [223][3000/3757] lr: 4.2895e-03 eta: 13:59:08 time: 0.4082 data_time: 0.0158 memory: 13431 grad_norm: 6.4898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4583 loss: 1.4583 2022/08/17 06:59:58 - mmengine - INFO - Epoch(train) [223][3100/3757] lr: 4.2895e-03 eta: 13:58:27 time: 0.4086 data_time: 0.0160 memory: 13431 grad_norm: 6.2352 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5113 loss: 1.5113 2022/08/17 07:00:40 - mmengine - INFO - Epoch(train) [223][3200/3757] lr: 4.2895e-03 eta: 13:57:47 time: 0.4105 data_time: 0.0159 memory: 13431 grad_norm: 6.8591 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6265 loss: 1.6265 2022/08/17 07:01:21 - mmengine - INFO - Epoch(train) [223][3300/3757] lr: 4.2895e-03 eta: 13:57:07 time: 0.4081 data_time: 0.0158 memory: 13431 grad_norm: 6.5572 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3715 loss: 1.3715 2022/08/17 07:02:02 - mmengine - INFO - Epoch(train) [223][3400/3757] lr: 4.2895e-03 eta: 13:56:27 time: 0.4096 data_time: 0.0150 memory: 13431 grad_norm: 6.5120 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6298 loss: 1.6298 2022/08/17 07:02:44 - mmengine - INFO - Epoch(train) [223][3500/3757] lr: 4.2895e-03 eta: 13:55:46 time: 0.4096 data_time: 0.0168 memory: 13431 grad_norm: 6.4683 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4581 loss: 1.4581 2022/08/17 07:03:25 - mmengine - INFO - Epoch(train) [223][3600/3757] lr: 4.2895e-03 eta: 13:55:06 time: 0.4096 data_time: 0.0161 memory: 13431 grad_norm: 6.6463 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5635 loss: 1.5635 2022/08/17 07:04:07 - mmengine - INFO - Epoch(train) [223][3700/3757] lr: 4.2895e-03 eta: 13:54:26 time: 0.4086 data_time: 0.0152 memory: 13431 grad_norm: 6.6055 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7568 loss: 1.7568 2022/08/17 07:04:30 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 07:04:30 - mmengine - INFO - Epoch(train) [223][3757/3757] lr: 4.2895e-03 eta: 13:54:10 time: 0.3997 data_time: 0.0156 memory: 13431 grad_norm: 6.7941 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.3629 loss: 1.3629 2022/08/17 07:05:14 - mmengine - INFO - Epoch(train) [224][100/3757] lr: 4.0443e-03 eta: 13:53:22 time: 0.4174 data_time: 0.0170 memory: 13431 grad_norm: 6.8488 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6049 loss: 1.6049 2022/08/17 07:05:51 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 07:05:55 - mmengine - INFO - Epoch(train) [224][200/3757] lr: 4.0443e-03 eta: 13:52:42 time: 0.4110 data_time: 0.0166 memory: 13431 grad_norm: 6.6556 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5088 loss: 1.5088 2022/08/17 07:06:37 - mmengine - INFO - Epoch(train) [224][300/3757] lr: 4.0443e-03 eta: 13:52:02 time: 0.4098 data_time: 0.0161 memory: 13431 grad_norm: 6.7407 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6074 loss: 1.6074 2022/08/17 07:07:18 - mmengine - INFO - Epoch(train) [224][400/3757] lr: 4.0443e-03 eta: 13:51:21 time: 0.4079 data_time: 0.0158 memory: 13431 grad_norm: 6.5669 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4751 loss: 1.4751 2022/08/17 07:07:59 - mmengine - INFO - Epoch(train) [224][500/3757] lr: 4.0443e-03 eta: 13:50:41 time: 0.4097 data_time: 0.0156 memory: 13431 grad_norm: 6.6583 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5535 loss: 1.5535 2022/08/17 07:08:41 - mmengine - INFO - Epoch(train) [224][600/3757] lr: 4.0443e-03 eta: 13:50:01 time: 0.4112 data_time: 0.0162 memory: 13431 grad_norm: 6.6093 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7189 loss: 1.7189 2022/08/17 07:09:22 - mmengine - INFO - Epoch(train) [224][700/3757] lr: 4.0443e-03 eta: 13:49:21 time: 0.4088 data_time: 0.0157 memory: 13431 grad_norm: 7.0006 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3843 loss: 1.3843 2022/08/17 07:10:03 - mmengine - INFO - Epoch(train) [224][800/3757] lr: 4.0443e-03 eta: 13:48:40 time: 0.4109 data_time: 0.0176 memory: 13431 grad_norm: 6.6415 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5838 loss: 1.5838 2022/08/17 07:10:45 - mmengine - INFO - Epoch(train) [224][900/3757] lr: 4.0443e-03 eta: 13:48:00 time: 0.4107 data_time: 0.0156 memory: 13431 grad_norm: 6.6509 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5802 loss: 1.5802 2022/08/17 07:11:26 - mmengine - INFO - Epoch(train) [224][1000/3757] lr: 4.0443e-03 eta: 13:47:20 time: 0.4102 data_time: 0.0166 memory: 13431 grad_norm: 6.7397 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8237 loss: 1.8237 2022/08/17 07:12:07 - mmengine - INFO - Epoch(train) [224][1100/3757] lr: 4.0443e-03 eta: 13:46:40 time: 0.4088 data_time: 0.0172 memory: 13431 grad_norm: 6.3166 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2094 loss: 1.2094 2022/08/17 07:12:44 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 07:12:49 - mmengine - INFO - Epoch(train) [224][1200/3757] lr: 4.0443e-03 eta: 13:45:59 time: 0.4111 data_time: 0.0165 memory: 13431 grad_norm: 6.9419 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7961 loss: 1.7961 2022/08/17 07:13:30 - mmengine - INFO - Epoch(train) [224][1300/3757] lr: 4.0443e-03 eta: 13:45:19 time: 0.4074 data_time: 0.0164 memory: 13431 grad_norm: 6.8496 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6695 loss: 1.6695 2022/08/17 07:14:12 - mmengine - INFO - Epoch(train) [224][1400/3757] lr: 4.0443e-03 eta: 13:44:39 time: 0.4112 data_time: 0.0161 memory: 13431 grad_norm: 6.7120 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6295 loss: 1.6295 2022/08/17 07:14:53 - mmengine - INFO - Epoch(train) [224][1500/3757] lr: 4.0443e-03 eta: 13:43:59 time: 0.4152 data_time: 0.0165 memory: 13431 grad_norm: 6.6048 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.3682 loss: 1.3682 2022/08/17 07:15:34 - mmengine - INFO - Epoch(train) [224][1600/3757] lr: 4.0443e-03 eta: 13:43:18 time: 0.4107 data_time: 0.0154 memory: 13431 grad_norm: 6.8211 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7021 loss: 1.7021 2022/08/17 07:16:16 - mmengine - INFO - Epoch(train) [224][1700/3757] lr: 4.0443e-03 eta: 13:42:38 time: 0.4107 data_time: 0.0154 memory: 13431 grad_norm: 6.8654 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.7658 loss: 1.7658 2022/08/17 07:16:57 - mmengine - INFO - Epoch(train) [224][1800/3757] lr: 4.0443e-03 eta: 13:41:58 time: 0.4117 data_time: 0.0159 memory: 13431 grad_norm: 6.6075 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4195 loss: 1.4195 2022/08/17 07:17:39 - mmengine - INFO - Epoch(train) [224][1900/3757] lr: 4.0443e-03 eta: 13:41:18 time: 0.4076 data_time: 0.0154 memory: 13431 grad_norm: 6.6640 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5897 loss: 1.5897 2022/08/17 07:18:20 - mmengine - INFO - Epoch(train) [224][2000/3757] lr: 4.0443e-03 eta: 13:40:37 time: 0.4118 data_time: 0.0149 memory: 13431 grad_norm: 6.5884 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6655 loss: 1.6655 2022/08/17 07:19:01 - mmengine - INFO - Epoch(train) [224][2100/3757] lr: 4.0443e-03 eta: 13:39:57 time: 0.4079 data_time: 0.0159 memory: 13431 grad_norm: 6.7903 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6353 loss: 1.6353 2022/08/17 07:19:38 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 07:19:43 - mmengine - INFO - Epoch(train) [224][2200/3757] lr: 4.0443e-03 eta: 13:39:17 time: 0.4128 data_time: 0.0172 memory: 13431 grad_norm: 6.6071 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3439 loss: 1.3439 2022/08/17 07:20:24 - mmengine - INFO - Epoch(train) [224][2300/3757] lr: 4.0443e-03 eta: 13:38:37 time: 0.4122 data_time: 0.0169 memory: 13431 grad_norm: 6.4538 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3428 loss: 1.3428 2022/08/17 07:21:05 - mmengine - INFO - Epoch(train) [224][2400/3757] lr: 4.0443e-03 eta: 13:37:56 time: 0.4080 data_time: 0.0165 memory: 13431 grad_norm: 6.5411 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4860 loss: 1.4860 2022/08/17 07:21:47 - mmengine - INFO - Epoch(train) [224][2500/3757] lr: 4.0443e-03 eta: 13:37:16 time: 0.4103 data_time: 0.0166 memory: 13431 grad_norm: 6.7269 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8421 loss: 1.8421 2022/08/17 07:22:29 - mmengine - INFO - Epoch(train) [224][2600/3757] lr: 4.0443e-03 eta: 13:36:36 time: 0.4091 data_time: 0.0152 memory: 13431 grad_norm: 6.5203 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5342 loss: 1.5342 2022/08/17 07:23:10 - mmengine - INFO - Epoch(train) [224][2700/3757] lr: 4.0443e-03 eta: 13:35:56 time: 0.4109 data_time: 0.0156 memory: 13431 grad_norm: 6.6491 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6111 loss: 1.6111 2022/08/17 07:23:52 - mmengine - INFO - Epoch(train) [224][2800/3757] lr: 4.0443e-03 eta: 13:35:16 time: 0.4095 data_time: 0.0161 memory: 13431 grad_norm: 6.7968 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5553 loss: 1.5553 2022/08/17 07:24:33 - mmengine - INFO - Epoch(train) [224][2900/3757] lr: 4.0443e-03 eta: 13:34:35 time: 0.4162 data_time: 0.0163 memory: 13431 grad_norm: 6.5041 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6194 loss: 1.6194 2022/08/17 07:25:14 - mmengine - INFO - Epoch(train) [224][3000/3757] lr: 4.0443e-03 eta: 13:33:55 time: 0.4108 data_time: 0.0166 memory: 13431 grad_norm: 6.8031 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4171 loss: 1.4171 2022/08/17 07:25:56 - mmengine - INFO - Epoch(train) [224][3100/3757] lr: 4.0443e-03 eta: 13:33:15 time: 0.4125 data_time: 0.0160 memory: 13431 grad_norm: 6.6315 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4827 loss: 1.4827 2022/08/17 07:26:33 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 07:26:37 - mmengine - INFO - Epoch(train) [224][3200/3757] lr: 4.0443e-03 eta: 13:32:35 time: 0.4097 data_time: 0.0161 memory: 13431 grad_norm: 6.5905 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7657 loss: 1.7657 2022/08/17 07:27:19 - mmengine - INFO - Epoch(train) [224][3300/3757] lr: 4.0443e-03 eta: 13:31:54 time: 0.4102 data_time: 0.0153 memory: 13431 grad_norm: 7.0734 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6436 loss: 1.6436 2022/08/17 07:28:00 - mmengine - INFO - Epoch(train) [224][3400/3757] lr: 4.0443e-03 eta: 13:31:14 time: 0.4098 data_time: 0.0153 memory: 13431 grad_norm: 6.6717 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6389 loss: 1.6389 2022/08/17 07:28:41 - mmengine - INFO - Epoch(train) [224][3500/3757] lr: 4.0443e-03 eta: 13:30:34 time: 0.4089 data_time: 0.0156 memory: 13431 grad_norm: 6.8717 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6810 loss: 1.6810 2022/08/17 07:29:23 - mmengine - INFO - Epoch(train) [224][3600/3757] lr: 4.0443e-03 eta: 13:29:54 time: 0.4146 data_time: 0.0168 memory: 13431 grad_norm: 6.6455 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4283 loss: 1.4283 2022/08/17 07:30:04 - mmengine - INFO - Epoch(train) [224][3700/3757] lr: 4.0443e-03 eta: 13:29:13 time: 0.4088 data_time: 0.0162 memory: 13431 grad_norm: 6.8420 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.7515 loss: 1.7515 2022/08/17 07:30:27 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 07:30:27 - mmengine - INFO - Epoch(train) [224][3757/3757] lr: 4.0443e-03 eta: 13:28:57 time: 0.3988 data_time: 0.0143 memory: 13431 grad_norm: 6.6995 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.4558 loss: 1.4558 2022/08/17 07:30:28 - mmengine - INFO - Saving checkpoint at 224 epochs 2022/08/17 07:31:17 - mmengine - INFO - Epoch(train) [225][100/3757] lr: 3.8060e-03 eta: 13:28:09 time: 0.4090 data_time: 0.0156 memory: 13431 grad_norm: 6.7997 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4497 loss: 1.4497 2022/08/17 07:31:58 - mmengine - INFO - Epoch(train) [225][200/3757] lr: 3.8060e-03 eta: 13:27:29 time: 0.4090 data_time: 0.0157 memory: 13431 grad_norm: 6.7108 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4762 loss: 1.4762 2022/08/17 07:32:40 - mmengine - INFO - Epoch(train) [225][300/3757] lr: 3.8060e-03 eta: 13:26:49 time: 0.4087 data_time: 0.0158 memory: 13431 grad_norm: 6.7735 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4116 loss: 1.4116 2022/08/17 07:33:21 - mmengine - INFO - Epoch(train) [225][400/3757] lr: 3.8060e-03 eta: 13:26:09 time: 0.4114 data_time: 0.0168 memory: 13431 grad_norm: 6.4469 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7580 loss: 1.7580 2022/08/17 07:33:34 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 07:34:02 - mmengine - INFO - Epoch(train) [225][500/3757] lr: 3.8060e-03 eta: 13:25:28 time: 0.4160 data_time: 0.0181 memory: 13431 grad_norm: 6.6809 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2984 loss: 1.2984 2022/08/17 07:34:44 - mmengine - INFO - Epoch(train) [225][600/3757] lr: 3.8060e-03 eta: 13:24:48 time: 0.4097 data_time: 0.0163 memory: 13431 grad_norm: 6.9107 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5722 loss: 1.5722 2022/08/17 07:35:25 - mmengine - INFO - Epoch(train) [225][700/3757] lr: 3.8060e-03 eta: 13:24:08 time: 0.4121 data_time: 0.0164 memory: 13431 grad_norm: 6.6281 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7969 loss: 1.7969 2022/08/17 07:36:07 - mmengine - INFO - Epoch(train) [225][800/3757] lr: 3.8060e-03 eta: 13:23:28 time: 0.4115 data_time: 0.0157 memory: 13431 grad_norm: 6.6324 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6280 loss: 1.6280 2022/08/17 07:36:48 - mmengine - INFO - Epoch(train) [225][900/3757] lr: 3.8060e-03 eta: 13:22:47 time: 0.4127 data_time: 0.0159 memory: 13431 grad_norm: 6.8999 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7039 loss: 1.7039 2022/08/17 07:37:29 - mmengine - INFO - Epoch(train) [225][1000/3757] lr: 3.8060e-03 eta: 13:22:07 time: 0.4088 data_time: 0.0153 memory: 13431 grad_norm: 6.4468 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1921 loss: 1.1921 2022/08/17 07:38:11 - mmengine - INFO - Epoch(train) [225][1100/3757] lr: 3.8060e-03 eta: 13:21:27 time: 0.4081 data_time: 0.0154 memory: 13431 grad_norm: 6.7788 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4826 loss: 1.4826 2022/08/17 07:38:52 - mmengine - INFO - Epoch(train) [225][1200/3757] lr: 3.8060e-03 eta: 13:20:47 time: 0.4069 data_time: 0.0154 memory: 13431 grad_norm: 6.4512 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4270 loss: 1.4270 2022/08/17 07:39:33 - mmengine - INFO - Epoch(train) [225][1300/3757] lr: 3.8060e-03 eta: 13:20:06 time: 0.4075 data_time: 0.0154 memory: 13431 grad_norm: 6.7731 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4440 loss: 1.4440 2022/08/17 07:40:15 - mmengine - INFO - Epoch(train) [225][1400/3757] lr: 3.8060e-03 eta: 13:19:26 time: 0.4106 data_time: 0.0163 memory: 13431 grad_norm: 6.7345 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4784 loss: 1.4784 2022/08/17 07:40:28 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 07:40:56 - mmengine - INFO - Epoch(train) [225][1500/3757] lr: 3.8060e-03 eta: 13:18:46 time: 0.4082 data_time: 0.0160 memory: 13431 grad_norm: 6.8727 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6545 loss: 1.6545 2022/08/17 07:41:38 - mmengine - INFO - Epoch(train) [225][1600/3757] lr: 3.8060e-03 eta: 13:18:06 time: 0.4079 data_time: 0.0152 memory: 13431 grad_norm: 6.5037 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5003 loss: 1.5003 2022/08/17 07:42:19 - mmengine - INFO - Epoch(train) [225][1700/3757] lr: 3.8060e-03 eta: 13:17:25 time: 0.4165 data_time: 0.0159 memory: 13431 grad_norm: 6.3892 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7588 loss: 1.7588 2022/08/17 07:43:00 - mmengine - INFO - Epoch(train) [225][1800/3757] lr: 3.8060e-03 eta: 13:16:45 time: 0.4103 data_time: 0.0162 memory: 13431 grad_norm: 6.6454 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6338 loss: 1.6338 2022/08/17 07:43:42 - mmengine - INFO - Epoch(train) [225][1900/3757] lr: 3.8060e-03 eta: 13:16:05 time: 0.4078 data_time: 0.0158 memory: 13431 grad_norm: 6.6319 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2656 loss: 1.2656 2022/08/17 07:44:23 - mmengine - INFO - Epoch(train) [225][2000/3757] lr: 3.8060e-03 eta: 13:15:25 time: 0.4115 data_time: 0.0168 memory: 13431 grad_norm: 6.6962 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2742 loss: 1.2742 2022/08/17 07:45:05 - mmengine - INFO - Epoch(train) [225][2100/3757] lr: 3.8060e-03 eta: 13:14:44 time: 0.4096 data_time: 0.0165 memory: 13431 grad_norm: 6.7100 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7355 loss: 1.7355 2022/08/17 07:45:46 - mmengine - INFO - Epoch(train) [225][2200/3757] lr: 3.8060e-03 eta: 13:14:04 time: 0.4086 data_time: 0.0154 memory: 13431 grad_norm: 6.8815 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5911 loss: 1.5911 2022/08/17 07:46:28 - mmengine - INFO - Epoch(train) [225][2300/3757] lr: 3.8060e-03 eta: 13:13:24 time: 0.4093 data_time: 0.0151 memory: 13431 grad_norm: 6.7750 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4359 loss: 1.4359 2022/08/17 07:47:09 - mmengine - INFO - Epoch(train) [225][2400/3757] lr: 3.8060e-03 eta: 13:12:44 time: 0.4147 data_time: 0.0161 memory: 13431 grad_norm: 6.6958 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5322 loss: 1.5322 2022/08/17 07:47:22 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 07:47:50 - mmengine - INFO - Epoch(train) [225][2500/3757] lr: 3.8060e-03 eta: 13:12:03 time: 0.4104 data_time: 0.0167 memory: 13431 grad_norm: 7.1042 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5165 loss: 1.5165 2022/08/17 07:48:32 - mmengine - INFO - Epoch(train) [225][2600/3757] lr: 3.8060e-03 eta: 13:11:23 time: 0.4117 data_time: 0.0159 memory: 13431 grad_norm: 6.8118 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8883 loss: 1.8883 2022/08/17 07:49:13 - mmengine - INFO - Epoch(train) [225][2700/3757] lr: 3.8060e-03 eta: 13:10:43 time: 0.4105 data_time: 0.0155 memory: 13431 grad_norm: 6.6591 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3236 loss: 1.3236 2022/08/17 07:49:55 - mmengine - INFO - Epoch(train) [225][2800/3757] lr: 3.8060e-03 eta: 13:10:02 time: 0.4078 data_time: 0.0157 memory: 13431 grad_norm: 7.0864 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5114 loss: 1.5114 2022/08/17 07:50:36 - mmengine - INFO - Epoch(train) [225][2900/3757] lr: 3.8060e-03 eta: 13:09:22 time: 0.4128 data_time: 0.0159 memory: 13431 grad_norm: 6.7310 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3922 loss: 1.3922 2022/08/17 07:51:18 - mmengine - INFO - Epoch(train) [225][3000/3757] lr: 3.8060e-03 eta: 13:08:42 time: 0.4089 data_time: 0.0148 memory: 13431 grad_norm: 6.9541 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5107 loss: 1.5107 2022/08/17 07:51:59 - mmengine - INFO - Epoch(train) [225][3100/3757] lr: 3.8060e-03 eta: 13:08:02 time: 0.4192 data_time: 0.0177 memory: 13431 grad_norm: 6.9273 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8025 loss: 1.8025 2022/08/17 07:52:41 - mmengine - INFO - Epoch(train) [225][3200/3757] lr: 3.8060e-03 eta: 13:07:22 time: 0.4140 data_time: 0.0166 memory: 13431 grad_norm: 6.7348 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4882 loss: 1.4882 2022/08/17 07:53:22 - mmengine - INFO - Epoch(train) [225][3300/3757] lr: 3.8060e-03 eta: 13:06:41 time: 0.4077 data_time: 0.0161 memory: 13431 grad_norm: 6.8210 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5322 loss: 1.5322 2022/08/17 07:54:04 - mmengine - INFO - Epoch(train) [225][3400/3757] lr: 3.8060e-03 eta: 13:06:01 time: 0.4137 data_time: 0.0164 memory: 13431 grad_norm: 6.8585 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8716 loss: 1.8716 2022/08/17 07:54:17 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 07:54:45 - mmengine - INFO - Epoch(train) [225][3500/3757] lr: 3.8060e-03 eta: 13:05:21 time: 0.4141 data_time: 0.0167 memory: 13431 grad_norm: 6.8852 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5564 loss: 1.5564 2022/08/17 07:55:26 - mmengine - INFO - Epoch(train) [225][3600/3757] lr: 3.8060e-03 eta: 13:04:41 time: 0.4089 data_time: 0.0155 memory: 13431 grad_norm: 6.7920 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7008 loss: 1.7008 2022/08/17 07:56:08 - mmengine - INFO - Epoch(train) [225][3700/3757] lr: 3.8060e-03 eta: 13:04:00 time: 0.4089 data_time: 0.0164 memory: 13431 grad_norm: 6.6027 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7317 loss: 1.7317 2022/08/17 07:56:31 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 07:56:31 - mmengine - INFO - Epoch(train) [225][3757/3757] lr: 3.8060e-03 eta: 13:03:44 time: 0.3970 data_time: 0.0145 memory: 13431 grad_norm: 6.9188 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.7410 loss: 1.7410 2022/08/17 07:56:53 - mmengine - INFO - Epoch(val) [225][100/310] eta: 0:00:42 time: 0.2045 data_time: 0.0763 memory: 1974 2022/08/17 07:57:15 - mmengine - INFO - Epoch(val) [225][200/310] eta: 0:00:21 time: 0.1928 data_time: 0.0618 memory: 1974 2022/08/17 07:57:36 - mmengine - INFO - Epoch(val) [225][300/310] eta: 0:00:02 time: 0.2060 data_time: 0.0765 memory: 1974 2022/08/17 07:57:40 - mmengine - INFO - Epoch(val) [225][310/310] acc/top1: 0.6703 acc/top5: 0.8716 acc/mean1: 0.6703 2022/08/17 07:57:40 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_221.pth is removed 2022/08/17 07:57:44 - mmengine - INFO - The best checkpoint with 0.6703 acc/top1 at 226 epoch is saved to best_acc/top1_epoch_226.pth. 2022/08/17 07:58:27 - mmengine - INFO - Epoch(train) [226][100/3757] lr: 3.5747e-03 eta: 13:02:56 time: 0.4089 data_time: 0.0168 memory: 13431 grad_norm: 6.9713 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6068 loss: 1.6068 2022/08/17 07:59:08 - mmengine - INFO - Epoch(train) [226][200/3757] lr: 3.5747e-03 eta: 13:02:16 time: 0.4091 data_time: 0.0168 memory: 13431 grad_norm: 6.7273 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7723 loss: 1.7723 2022/08/17 07:59:49 - mmengine - INFO - Epoch(train) [226][300/3757] lr: 3.5747e-03 eta: 13:01:36 time: 0.4100 data_time: 0.0162 memory: 13431 grad_norm: 6.6247 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.5455 loss: 1.5455 2022/08/17 08:00:31 - mmengine - INFO - Epoch(train) [226][400/3757] lr: 3.5747e-03 eta: 13:00:55 time: 0.4111 data_time: 0.0154 memory: 13431 grad_norm: 6.7230 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2376 loss: 1.2376 2022/08/17 08:01:12 - mmengine - INFO - Epoch(train) [226][500/3757] lr: 3.5747e-03 eta: 13:00:15 time: 0.4085 data_time: 0.0150 memory: 13431 grad_norm: 6.9071 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6926 loss: 1.6926 2022/08/17 08:01:54 - mmengine - INFO - Epoch(train) [226][600/3757] lr: 3.5747e-03 eta: 12:59:35 time: 0.4071 data_time: 0.0156 memory: 13431 grad_norm: 6.6393 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5641 loss: 1.5641 2022/08/17 08:02:25 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 08:02:35 - mmengine - INFO - Epoch(train) [226][700/3757] lr: 3.5747e-03 eta: 12:58:55 time: 0.4085 data_time: 0.0156 memory: 13431 grad_norm: 6.6939 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5840 loss: 1.5840 2022/08/17 08:03:17 - mmengine - INFO - Epoch(train) [226][800/3757] lr: 3.5747e-03 eta: 12:58:14 time: 0.4105 data_time: 0.0155 memory: 13431 grad_norm: 6.4327 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4716 loss: 1.4716 2022/08/17 08:03:58 - mmengine - INFO - Epoch(train) [226][900/3757] lr: 3.5747e-03 eta: 12:57:34 time: 0.4102 data_time: 0.0150 memory: 13431 grad_norm: 6.7705 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5183 loss: 1.5183 2022/08/17 08:04:39 - mmengine - INFO - Epoch(train) [226][1000/3757] lr: 3.5747e-03 eta: 12:56:54 time: 0.4119 data_time: 0.0152 memory: 13431 grad_norm: 6.8321 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3185 loss: 1.3185 2022/08/17 08:05:21 - mmengine - INFO - Epoch(train) [226][1100/3757] lr: 3.5747e-03 eta: 12:56:14 time: 0.4204 data_time: 0.0165 memory: 13431 grad_norm: 6.7339 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4808 loss: 1.4808 2022/08/17 08:06:02 - mmengine - INFO - Epoch(train) [226][1200/3757] lr: 3.5747e-03 eta: 12:55:33 time: 0.4111 data_time: 0.0157 memory: 13431 grad_norm: 7.0311 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7112 loss: 1.7112 2022/08/17 08:06:44 - mmengine - INFO - Epoch(train) [226][1300/3757] lr: 3.5747e-03 eta: 12:54:53 time: 0.4198 data_time: 0.0158 memory: 13431 grad_norm: 6.9988 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4254 loss: 1.4254 2022/08/17 08:07:25 - mmengine - INFO - Epoch(train) [226][1400/3757] lr: 3.5747e-03 eta: 12:54:13 time: 0.4080 data_time: 0.0149 memory: 13431 grad_norm: 6.4495 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2491 loss: 1.2491 2022/08/17 08:08:07 - mmengine - INFO - Epoch(train) [226][1500/3757] lr: 3.5747e-03 eta: 12:53:33 time: 0.4105 data_time: 0.0156 memory: 13431 grad_norm: 6.6540 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1642 loss: 1.1642 2022/08/17 08:08:48 - mmengine - INFO - Epoch(train) [226][1600/3757] lr: 3.5747e-03 eta: 12:52:52 time: 0.4081 data_time: 0.0154 memory: 13431 grad_norm: 6.8509 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4107 loss: 1.4107 2022/08/17 08:09:19 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 08:09:30 - mmengine - INFO - Epoch(train) [226][1700/3757] lr: 3.5747e-03 eta: 12:52:12 time: 0.4105 data_time: 0.0173 memory: 13431 grad_norm: 6.8782 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4947 loss: 1.4947 2022/08/17 08:10:11 - mmengine - INFO - Epoch(train) [226][1800/3757] lr: 3.5747e-03 eta: 12:51:32 time: 0.4171 data_time: 0.0179 memory: 13431 grad_norm: 6.9017 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5947 loss: 1.5947 2022/08/17 08:10:52 - mmengine - INFO - Epoch(train) [226][1900/3757] lr: 3.5747e-03 eta: 12:50:52 time: 0.4081 data_time: 0.0174 memory: 13431 grad_norm: 6.8665 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3184 loss: 1.3184 2022/08/17 08:11:34 - mmengine - INFO - Epoch(train) [226][2000/3757] lr: 3.5747e-03 eta: 12:50:11 time: 0.4152 data_time: 0.0155 memory: 13431 grad_norm: 6.7251 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5836 loss: 1.5836 2022/08/17 08:12:15 - mmengine - INFO - Epoch(train) [226][2100/3757] lr: 3.5747e-03 eta: 12:49:31 time: 0.4125 data_time: 0.0164 memory: 13431 grad_norm: 6.9294 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5216 loss: 1.5216 2022/08/17 08:12:57 - mmengine - INFO - Epoch(train) [226][2200/3757] lr: 3.5747e-03 eta: 12:48:51 time: 0.4114 data_time: 0.0176 memory: 13431 grad_norm: 7.2115 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6432 loss: 1.6432 2022/08/17 08:13:38 - mmengine - INFO - Epoch(train) [226][2300/3757] lr: 3.5747e-03 eta: 12:48:11 time: 0.4308 data_time: 0.0171 memory: 13431 grad_norm: 6.8615 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8128 loss: 1.8128 2022/08/17 08:14:20 - mmengine - INFO - Epoch(train) [226][2400/3757] lr: 3.5747e-03 eta: 12:47:30 time: 0.4143 data_time: 0.0170 memory: 13431 grad_norm: 6.9227 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4665 loss: 1.4665 2022/08/17 08:15:02 - mmengine - INFO - Epoch(train) [226][2500/3757] lr: 3.5747e-03 eta: 12:46:50 time: 0.4224 data_time: 0.0174 memory: 13431 grad_norm: 6.7932 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4748 loss: 1.4748 2022/08/17 08:15:43 - mmengine - INFO - Epoch(train) [226][2600/3757] lr: 3.5747e-03 eta: 12:46:10 time: 0.4133 data_time: 0.0157 memory: 13431 grad_norm: 6.8340 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6378 loss: 1.6378 2022/08/17 08:16:15 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 08:16:25 - mmengine - INFO - Epoch(train) [226][2700/3757] lr: 3.5747e-03 eta: 12:45:30 time: 0.4203 data_time: 0.0158 memory: 13431 grad_norm: 6.8343 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4726 loss: 1.4726 2022/08/17 08:17:07 - mmengine - INFO - Epoch(train) [226][2800/3757] lr: 3.5747e-03 eta: 12:44:50 time: 0.4092 data_time: 0.0171 memory: 13431 grad_norm: 7.2002 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5165 loss: 1.5165 2022/08/17 08:17:48 - mmengine - INFO - Epoch(train) [226][2900/3757] lr: 3.5747e-03 eta: 12:44:09 time: 0.4076 data_time: 0.0154 memory: 13431 grad_norm: 6.7305 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.6778 loss: 1.6778 2022/08/17 08:18:29 - mmengine - INFO - Epoch(train) [226][3000/3757] lr: 3.5747e-03 eta: 12:43:29 time: 0.4231 data_time: 0.0160 memory: 13431 grad_norm: 6.9863 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3858 loss: 1.3858 2022/08/17 08:19:11 - mmengine - INFO - Epoch(train) [226][3100/3757] lr: 3.5747e-03 eta: 12:42:49 time: 0.4109 data_time: 0.0169 memory: 13431 grad_norm: 6.8019 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4304 loss: 1.4304 2022/08/17 08:19:52 - mmengine - INFO - Epoch(train) [226][3200/3757] lr: 3.5747e-03 eta: 12:42:08 time: 0.4137 data_time: 0.0164 memory: 13431 grad_norm: 6.8539 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7365 loss: 1.7365 2022/08/17 08:20:34 - mmengine - INFO - Epoch(train) [226][3300/3757] lr: 3.5747e-03 eta: 12:41:28 time: 0.4048 data_time: 0.0160 memory: 13431 grad_norm: 6.9621 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5185 loss: 1.5185 2022/08/17 08:21:15 - mmengine - INFO - Epoch(train) [226][3400/3757] lr: 3.5747e-03 eta: 12:40:48 time: 0.4104 data_time: 0.0161 memory: 13431 grad_norm: 6.9686 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6197 loss: 1.6197 2022/08/17 08:21:57 - mmengine - INFO - Epoch(train) [226][3500/3757] lr: 3.5747e-03 eta: 12:40:08 time: 0.4077 data_time: 0.0155 memory: 13431 grad_norm: 6.9158 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6093 loss: 1.6093 2022/08/17 08:22:38 - mmengine - INFO - Epoch(train) [226][3600/3757] lr: 3.5747e-03 eta: 12:39:27 time: 0.4076 data_time: 0.0154 memory: 13431 grad_norm: 6.7715 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4702 loss: 1.4702 2022/08/17 08:23:09 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 08:23:19 - mmengine - INFO - Epoch(train) [226][3700/3757] lr: 3.5747e-03 eta: 12:38:47 time: 0.4115 data_time: 0.0159 memory: 13431 grad_norm: 6.9595 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4105 loss: 1.4105 2022/08/17 08:23:43 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 08:23:43 - mmengine - INFO - Epoch(train) [226][3757/3757] lr: 3.5747e-03 eta: 12:38:31 time: 0.3998 data_time: 0.0150 memory: 13431 grad_norm: 6.5565 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.4225 loss: 1.4225 2022/08/17 08:24:26 - mmengine - INFO - Epoch(train) [227][100/3757] lr: 3.3504e-03 eta: 12:37:43 time: 0.4081 data_time: 0.0163 memory: 13431 grad_norm: 6.7923 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6167 loss: 1.6167 2022/08/17 08:25:07 - mmengine - INFO - Epoch(train) [227][200/3757] lr: 3.3504e-03 eta: 12:37:03 time: 0.4124 data_time: 0.0151 memory: 13431 grad_norm: 7.0064 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3485 loss: 1.3485 2022/08/17 08:25:49 - mmengine - INFO - Epoch(train) [227][300/3757] lr: 3.3504e-03 eta: 12:36:23 time: 0.4098 data_time: 0.0165 memory: 13431 grad_norm: 6.9975 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5301 loss: 1.5301 2022/08/17 08:26:30 - mmengine - INFO - Epoch(train) [227][400/3757] lr: 3.3504e-03 eta: 12:35:42 time: 0.4109 data_time: 0.0159 memory: 13431 grad_norm: 6.8817 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4816 loss: 1.4816 2022/08/17 08:27:12 - mmengine - INFO - Epoch(train) [227][500/3757] lr: 3.3504e-03 eta: 12:35:02 time: 0.4110 data_time: 0.0176 memory: 13431 grad_norm: 6.9521 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4705 loss: 1.4705 2022/08/17 08:27:53 - mmengine - INFO - Epoch(train) [227][600/3757] lr: 3.3504e-03 eta: 12:34:22 time: 0.4134 data_time: 0.0176 memory: 13431 grad_norm: 6.9064 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.3889 loss: 1.3889 2022/08/17 08:28:35 - mmengine - INFO - Epoch(train) [227][700/3757] lr: 3.3504e-03 eta: 12:33:42 time: 0.4111 data_time: 0.0159 memory: 13431 grad_norm: 6.9655 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5793 loss: 1.5793 2022/08/17 08:29:16 - mmengine - INFO - Epoch(train) [227][800/3757] lr: 3.3504e-03 eta: 12:33:01 time: 0.4098 data_time: 0.0160 memory: 13431 grad_norm: 6.9945 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2230 loss: 1.2230 2022/08/17 08:29:57 - mmengine - INFO - Epoch(train) [227][900/3757] lr: 3.3504e-03 eta: 12:32:21 time: 0.4171 data_time: 0.0154 memory: 13431 grad_norm: 6.8692 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9397 loss: 1.9397 2022/08/17 08:30:05 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 08:30:39 - mmengine - INFO - Epoch(train) [227][1000/3757] lr: 3.3504e-03 eta: 12:31:41 time: 0.4083 data_time: 0.0173 memory: 13431 grad_norm: 7.0896 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5468 loss: 1.5468 2022/08/17 08:31:21 - mmengine - INFO - Epoch(train) [227][1100/3757] lr: 3.3504e-03 eta: 12:31:01 time: 0.4547 data_time: 0.0165 memory: 13431 grad_norm: 6.8594 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1799 loss: 1.1799 2022/08/17 08:32:03 - mmengine - INFO - Epoch(train) [227][1200/3757] lr: 3.3504e-03 eta: 12:30:20 time: 0.4231 data_time: 0.0189 memory: 13431 grad_norm: 6.8797 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4707 loss: 1.4707 2022/08/17 08:32:44 - mmengine - INFO - Epoch(train) [227][1300/3757] lr: 3.3504e-03 eta: 12:29:40 time: 0.4115 data_time: 0.0163 memory: 13431 grad_norm: 6.8236 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3963 loss: 1.3963 2022/08/17 08:33:26 - mmengine - INFO - Epoch(train) [227][1400/3757] lr: 3.3504e-03 eta: 12:29:00 time: 0.4087 data_time: 0.0159 memory: 13431 grad_norm: 6.8805 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4819 loss: 1.4819 2022/08/17 08:34:07 - mmengine - INFO - Epoch(train) [227][1500/3757] lr: 3.3504e-03 eta: 12:28:20 time: 0.4116 data_time: 0.0159 memory: 13431 grad_norm: 7.0074 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4991 loss: 1.4991 2022/08/17 08:34:49 - mmengine - INFO - Epoch(train) [227][1600/3757] lr: 3.3504e-03 eta: 12:27:39 time: 0.4179 data_time: 0.0153 memory: 13431 grad_norm: 6.8226 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5406 loss: 1.5406 2022/08/17 08:35:30 - mmengine - INFO - Epoch(train) [227][1700/3757] lr: 3.3504e-03 eta: 12:26:59 time: 0.4096 data_time: 0.0177 memory: 13431 grad_norm: 7.0866 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4178 loss: 1.4178 2022/08/17 08:36:12 - mmengine - INFO - Epoch(train) [227][1800/3757] lr: 3.3504e-03 eta: 12:26:19 time: 0.4186 data_time: 0.0158 memory: 13431 grad_norm: 7.1193 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5454 loss: 1.5454 2022/08/17 08:36:53 - mmengine - INFO - Epoch(train) [227][1900/3757] lr: 3.3504e-03 eta: 12:25:39 time: 0.4113 data_time: 0.0168 memory: 13431 grad_norm: 6.8139 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5550 loss: 1.5550 2022/08/17 08:37:01 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 08:37:34 - mmengine - INFO - Epoch(train) [227][2000/3757] lr: 3.3504e-03 eta: 12:24:58 time: 0.4155 data_time: 0.0163 memory: 13431 grad_norm: 6.9005 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6196 loss: 1.6196 2022/08/17 08:38:16 - mmengine - INFO - Epoch(train) [227][2100/3757] lr: 3.3504e-03 eta: 12:24:18 time: 0.4086 data_time: 0.0163 memory: 13431 grad_norm: 6.8133 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6067 loss: 1.6067 2022/08/17 08:38:57 - mmengine - INFO - Epoch(train) [227][2200/3757] lr: 3.3504e-03 eta: 12:23:38 time: 0.4096 data_time: 0.0155 memory: 13431 grad_norm: 6.7770 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4049 loss: 1.4049 2022/08/17 08:39:39 - mmengine - INFO - Epoch(train) [227][2300/3757] lr: 3.3504e-03 eta: 12:22:58 time: 0.4160 data_time: 0.0163 memory: 13431 grad_norm: 6.8898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5193 loss: 1.5193 2022/08/17 08:40:20 - mmengine - INFO - Epoch(train) [227][2400/3757] lr: 3.3504e-03 eta: 12:22:17 time: 0.4125 data_time: 0.0167 memory: 13431 grad_norm: 6.9776 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7788 loss: 1.7788 2022/08/17 08:41:02 - mmengine - INFO - Epoch(train) [227][2500/3757] lr: 3.3504e-03 eta: 12:21:37 time: 0.4167 data_time: 0.0191 memory: 13431 grad_norm: 6.7915 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1871 loss: 1.1871 2022/08/17 08:41:43 - mmengine - INFO - Epoch(train) [227][2600/3757] lr: 3.3504e-03 eta: 12:20:57 time: 0.4119 data_time: 0.0166 memory: 13431 grad_norm: 6.8047 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5009 loss: 1.5009 2022/08/17 08:42:24 - mmengine - INFO - Epoch(train) [227][2700/3757] lr: 3.3504e-03 eta: 12:20:17 time: 0.4075 data_time: 0.0156 memory: 13431 grad_norm: 7.0303 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4454 loss: 1.4454 2022/08/17 08:43:06 - mmengine - INFO - Epoch(train) [227][2800/3757] lr: 3.3504e-03 eta: 12:19:36 time: 0.4124 data_time: 0.0159 memory: 13431 grad_norm: 7.2890 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5433 loss: 1.5433 2022/08/17 08:43:47 - mmengine - INFO - Epoch(train) [227][2900/3757] lr: 3.3504e-03 eta: 12:18:56 time: 0.4104 data_time: 0.0158 memory: 13431 grad_norm: 7.1215 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3970 loss: 1.3970 2022/08/17 08:43:55 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 08:44:29 - mmengine - INFO - Epoch(train) [227][3000/3757] lr: 3.3504e-03 eta: 12:18:16 time: 0.4191 data_time: 0.0155 memory: 13431 grad_norm: 7.0167 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7113 loss: 1.7113 2022/08/17 08:45:10 - mmengine - INFO - Epoch(train) [227][3100/3757] lr: 3.3504e-03 eta: 12:17:35 time: 0.4136 data_time: 0.0168 memory: 13431 grad_norm: 7.0257 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8972 loss: 1.8972 2022/08/17 08:45:52 - mmengine - INFO - Epoch(train) [227][3200/3757] lr: 3.3504e-03 eta: 12:16:55 time: 0.4184 data_time: 0.0156 memory: 13431 grad_norm: 6.9380 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4573 loss: 1.4573 2022/08/17 08:46:33 - mmengine - INFO - Epoch(train) [227][3300/3757] lr: 3.3504e-03 eta: 12:16:15 time: 0.4102 data_time: 0.0161 memory: 13431 grad_norm: 7.0486 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7700 loss: 1.7700 2022/08/17 08:47:15 - mmengine - INFO - Epoch(train) [227][3400/3757] lr: 3.3504e-03 eta: 12:15:35 time: 0.4136 data_time: 0.0164 memory: 13431 grad_norm: 6.8434 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6926 loss: 1.6926 2022/08/17 08:47:56 - mmengine - INFO - Epoch(train) [227][3500/3757] lr: 3.3504e-03 eta: 12:14:54 time: 0.4109 data_time: 0.0167 memory: 13431 grad_norm: 6.6677 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2972 loss: 1.2972 2022/08/17 08:48:37 - mmengine - INFO - Epoch(train) [227][3600/3757] lr: 3.3504e-03 eta: 12:14:14 time: 0.4107 data_time: 0.0164 memory: 13431 grad_norm: 6.8875 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6002 loss: 1.6002 2022/08/17 08:49:19 - mmengine - INFO - Epoch(train) [227][3700/3757] lr: 3.3504e-03 eta: 12:13:34 time: 0.4088 data_time: 0.0150 memory: 13431 grad_norm: 7.0573 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.3403 loss: 1.3403 2022/08/17 08:49:42 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 08:49:42 - mmengine - INFO - Epoch(train) [227][3757/3757] lr: 3.3504e-03 eta: 12:13:18 time: 0.4013 data_time: 0.0138 memory: 13431 grad_norm: 7.1647 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.2962 loss: 1.2962 2022/08/17 08:50:26 - mmengine - INFO - Epoch(train) [228][100/3757] lr: 3.1330e-03 eta: 12:12:30 time: 0.4190 data_time: 0.0175 memory: 13431 grad_norm: 7.0917 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2425 loss: 1.2425 2022/08/17 08:50:52 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 08:51:08 - mmengine - INFO - Epoch(train) [228][200/3757] lr: 3.1330e-03 eta: 12:11:50 time: 0.4094 data_time: 0.0158 memory: 13431 grad_norm: 6.9640 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3746 loss: 1.3746 2022/08/17 08:51:49 - mmengine - INFO - Epoch(train) [228][300/3757] lr: 3.1330e-03 eta: 12:11:10 time: 0.4113 data_time: 0.0159 memory: 13431 grad_norm: 6.9171 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4512 loss: 1.4512 2022/08/17 08:52:31 - mmengine - INFO - Epoch(train) [228][400/3757] lr: 3.1330e-03 eta: 12:10:29 time: 0.4188 data_time: 0.0155 memory: 13431 grad_norm: 7.0996 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5361 loss: 1.5361 2022/08/17 08:53:12 - mmengine - INFO - Epoch(train) [228][500/3757] lr: 3.1330e-03 eta: 12:09:49 time: 0.4121 data_time: 0.0163 memory: 13431 grad_norm: 6.9884 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4370 loss: 1.4370 2022/08/17 08:53:54 - mmengine - INFO - Epoch(train) [228][600/3757] lr: 3.1330e-03 eta: 12:09:09 time: 0.4115 data_time: 0.0173 memory: 13431 grad_norm: 7.2115 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7815 loss: 1.7815 2022/08/17 08:54:35 - mmengine - INFO - Epoch(train) [228][700/3757] lr: 3.1330e-03 eta: 12:08:29 time: 0.4118 data_time: 0.0160 memory: 13431 grad_norm: 6.9641 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5104 loss: 1.5104 2022/08/17 08:55:17 - mmengine - INFO - Epoch(train) [228][800/3757] lr: 3.1330e-03 eta: 12:07:48 time: 0.4107 data_time: 0.0155 memory: 13431 grad_norm: 6.6703 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4007 loss: 1.4007 2022/08/17 08:55:58 - mmengine - INFO - Epoch(train) [228][900/3757] lr: 3.1330e-03 eta: 12:07:08 time: 0.4086 data_time: 0.0154 memory: 13431 grad_norm: 7.1473 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4601 loss: 1.4601 2022/08/17 08:56:40 - mmengine - INFO - Epoch(train) [228][1000/3757] lr: 3.1330e-03 eta: 12:06:28 time: 0.4111 data_time: 0.0155 memory: 13431 grad_norm: 7.0818 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3203 loss: 1.3203 2022/08/17 08:57:21 - mmengine - INFO - Epoch(train) [228][1100/3757] lr: 3.1330e-03 eta: 12:05:47 time: 0.4126 data_time: 0.0162 memory: 13431 grad_norm: 7.0808 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6044 loss: 1.6044 2022/08/17 08:57:46 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 08:58:02 - mmengine - INFO - Epoch(train) [228][1200/3757] lr: 3.1330e-03 eta: 12:05:07 time: 0.4093 data_time: 0.0165 memory: 13431 grad_norm: 6.8295 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6518 loss: 1.6518 2022/08/17 08:58:44 - mmengine - INFO - Epoch(train) [228][1300/3757] lr: 3.1330e-03 eta: 12:04:27 time: 0.4109 data_time: 0.0155 memory: 13431 grad_norm: 7.0474 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6052 loss: 1.6052 2022/08/17 08:59:25 - mmengine - INFO - Epoch(train) [228][1400/3757] lr: 3.1330e-03 eta: 12:03:47 time: 0.4073 data_time: 0.0157 memory: 13431 grad_norm: 6.9043 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4038 loss: 1.4038 2022/08/17 09:00:07 - mmengine - INFO - Epoch(train) [228][1500/3757] lr: 3.1330e-03 eta: 12:03:06 time: 0.4101 data_time: 0.0164 memory: 13431 grad_norm: 6.8957 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5035 loss: 1.5035 2022/08/17 09:00:48 - mmengine - INFO - Epoch(train) [228][1600/3757] lr: 3.1330e-03 eta: 12:02:26 time: 0.4139 data_time: 0.0156 memory: 13431 grad_norm: 7.2345 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6779 loss: 1.6779 2022/08/17 09:01:30 - mmengine - INFO - Epoch(train) [228][1700/3757] lr: 3.1330e-03 eta: 12:01:46 time: 0.4094 data_time: 0.0171 memory: 13431 grad_norm: 7.1171 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6691 loss: 1.6691 2022/08/17 09:02:11 - mmengine - INFO - Epoch(train) [228][1800/3757] lr: 3.1330e-03 eta: 12:01:06 time: 0.4199 data_time: 0.0155 memory: 13431 grad_norm: 7.2358 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5124 loss: 1.5124 2022/08/17 09:02:53 - mmengine - INFO - Epoch(train) [228][1900/3757] lr: 3.1330e-03 eta: 12:00:25 time: 0.4117 data_time: 0.0156 memory: 13431 grad_norm: 6.9501 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2714 loss: 1.2714 2022/08/17 09:03:34 - mmengine - INFO - Epoch(train) [228][2000/3757] lr: 3.1330e-03 eta: 11:59:45 time: 0.4092 data_time: 0.0171 memory: 13431 grad_norm: 6.9210 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5456 loss: 1.5456 2022/08/17 09:04:15 - mmengine - INFO - Epoch(train) [228][2100/3757] lr: 3.1330e-03 eta: 11:59:05 time: 0.4095 data_time: 0.0164 memory: 13431 grad_norm: 7.0475 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7252 loss: 1.7252 2022/08/17 09:04:41 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 09:04:57 - mmengine - INFO - Epoch(train) [228][2200/3757] lr: 3.1330e-03 eta: 11:58:24 time: 0.4112 data_time: 0.0153 memory: 13431 grad_norm: 6.7695 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4813 loss: 1.4813 2022/08/17 09:05:38 - mmengine - INFO - Epoch(train) [228][2300/3757] lr: 3.1330e-03 eta: 11:57:44 time: 0.4082 data_time: 0.0156 memory: 13431 grad_norm: 6.8399 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4166 loss: 1.4166 2022/08/17 09:06:20 - mmengine - INFO - Epoch(train) [228][2400/3757] lr: 3.1330e-03 eta: 11:57:04 time: 0.4210 data_time: 0.0163 memory: 13431 grad_norm: 7.2282 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3927 loss: 1.3927 2022/08/17 09:07:01 - mmengine - INFO - Epoch(train) [228][2500/3757] lr: 3.1330e-03 eta: 11:56:24 time: 0.4165 data_time: 0.0166 memory: 13431 grad_norm: 7.0442 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7959 loss: 1.7959 2022/08/17 09:07:43 - mmengine - INFO - Epoch(train) [228][2600/3757] lr: 3.1330e-03 eta: 11:55:43 time: 0.4107 data_time: 0.0163 memory: 13431 grad_norm: 6.9504 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2854 loss: 1.2854 2022/08/17 09:08:24 - mmengine - INFO - Epoch(train) [228][2700/3757] lr: 3.1330e-03 eta: 11:55:03 time: 0.4141 data_time: 0.0162 memory: 13431 grad_norm: 6.9316 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7591 loss: 1.7591 2022/08/17 09:09:06 - mmengine - INFO - Epoch(train) [228][2800/3757] lr: 3.1330e-03 eta: 11:54:23 time: 0.4114 data_time: 0.0162 memory: 13431 grad_norm: 7.0150 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4037 loss: 1.4037 2022/08/17 09:09:47 - mmengine - INFO - Epoch(train) [228][2900/3757] lr: 3.1330e-03 eta: 11:53:43 time: 0.4096 data_time: 0.0155 memory: 13431 grad_norm: 6.9014 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4317 loss: 1.4317 2022/08/17 09:10:29 - mmengine - INFO - Epoch(train) [228][3000/3757] lr: 3.1330e-03 eta: 11:53:02 time: 0.4104 data_time: 0.0166 memory: 13431 grad_norm: 7.4819 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3747 loss: 1.3747 2022/08/17 09:11:10 - mmengine - INFO - Epoch(train) [228][3100/3757] lr: 3.1330e-03 eta: 11:52:22 time: 0.4087 data_time: 0.0156 memory: 13431 grad_norm: 6.9542 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3387 loss: 1.3387 2022/08/17 09:11:35 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 09:11:52 - mmengine - INFO - Epoch(train) [228][3200/3757] lr: 3.1330e-03 eta: 11:51:42 time: 0.4223 data_time: 0.0160 memory: 13431 grad_norm: 7.0442 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5074 loss: 1.5074 2022/08/17 09:12:33 - mmengine - INFO - Epoch(train) [228][3300/3757] lr: 3.1330e-03 eta: 11:51:01 time: 0.4086 data_time: 0.0165 memory: 13431 grad_norm: 7.1948 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5817 loss: 1.5817 2022/08/17 09:13:15 - mmengine - INFO - Epoch(train) [228][3400/3757] lr: 3.1330e-03 eta: 11:50:21 time: 0.4190 data_time: 0.0173 memory: 13431 grad_norm: 7.1371 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5056 loss: 1.5056 2022/08/17 09:13:56 - mmengine - INFO - Epoch(train) [228][3500/3757] lr: 3.1330e-03 eta: 11:49:41 time: 0.4104 data_time: 0.0158 memory: 13431 grad_norm: 7.1719 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4341 loss: 1.4341 2022/08/17 09:14:39 - mmengine - INFO - Epoch(train) [228][3600/3757] lr: 3.1330e-03 eta: 11:49:01 time: 0.4384 data_time: 0.0174 memory: 13431 grad_norm: 6.9368 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4137 loss: 1.4137 2022/08/17 09:15:20 - mmengine - INFO - Epoch(train) [228][3700/3757] lr: 3.1330e-03 eta: 11:48:21 time: 0.4094 data_time: 0.0150 memory: 13431 grad_norm: 7.1289 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6037 loss: 1.6037 2022/08/17 09:15:43 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 09:15:43 - mmengine - INFO - Epoch(train) [228][3757/3757] lr: 3.1330e-03 eta: 11:48:04 time: 0.3983 data_time: 0.0147 memory: 13431 grad_norm: 6.9716 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.4372 loss: 1.4372 2022/08/17 09:15:43 - mmengine - INFO - Saving checkpoint at 228 epochs 2022/08/17 09:16:32 - mmengine - INFO - Epoch(train) [229][100/3757] lr: 2.9228e-03 eta: 11:47:17 time: 0.4100 data_time: 0.0156 memory: 13431 grad_norm: 7.1533 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6491 loss: 1.6491 2022/08/17 09:17:13 - mmengine - INFO - Epoch(train) [229][200/3757] lr: 2.9228e-03 eta: 11:46:36 time: 0.4091 data_time: 0.0151 memory: 13431 grad_norm: 6.8902 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4667 loss: 1.4667 2022/08/17 09:17:55 - mmengine - INFO - Epoch(train) [229][300/3757] lr: 2.9228e-03 eta: 11:45:56 time: 0.4172 data_time: 0.0156 memory: 13431 grad_norm: 6.7395 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5044 loss: 1.5044 2022/08/17 09:18:36 - mmengine - INFO - Epoch(train) [229][400/3757] lr: 2.9228e-03 eta: 11:45:16 time: 0.4115 data_time: 0.0156 memory: 13431 grad_norm: 7.0579 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3177 loss: 1.3177 2022/08/17 09:18:38 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 09:19:18 - mmengine - INFO - Epoch(train) [229][500/3757] lr: 2.9228e-03 eta: 11:44:35 time: 0.4166 data_time: 0.0157 memory: 13431 grad_norm: 7.0603 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4646 loss: 1.4646 2022/08/17 09:20:00 - mmengine - INFO - Epoch(train) [229][600/3757] lr: 2.9228e-03 eta: 11:43:55 time: 0.4092 data_time: 0.0154 memory: 13431 grad_norm: 6.9853 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3802 loss: 1.3802 2022/08/17 09:20:41 - mmengine - INFO - Epoch(train) [229][700/3757] lr: 2.9228e-03 eta: 11:43:15 time: 0.4107 data_time: 0.0156 memory: 13431 grad_norm: 7.0324 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6421 loss: 1.6421 2022/08/17 09:21:22 - mmengine - INFO - Epoch(train) [229][800/3757] lr: 2.9228e-03 eta: 11:42:35 time: 0.4106 data_time: 0.0158 memory: 13431 grad_norm: 7.0706 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3801 loss: 1.3801 2022/08/17 09:22:04 - mmengine - INFO - Epoch(train) [229][900/3757] lr: 2.9228e-03 eta: 11:41:54 time: 0.4085 data_time: 0.0162 memory: 13431 grad_norm: 7.1530 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5513 loss: 1.5513 2022/08/17 09:22:45 - mmengine - INFO - Epoch(train) [229][1000/3757] lr: 2.9228e-03 eta: 11:41:14 time: 0.4164 data_time: 0.0166 memory: 13431 grad_norm: 7.0955 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5320 loss: 1.5320 2022/08/17 09:23:27 - mmengine - INFO - Epoch(train) [229][1100/3757] lr: 2.9228e-03 eta: 11:40:34 time: 0.4133 data_time: 0.0167 memory: 13431 grad_norm: 7.1138 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4349 loss: 1.4349 2022/08/17 09:24:08 - mmengine - INFO - Epoch(train) [229][1200/3757] lr: 2.9228e-03 eta: 11:39:54 time: 0.4118 data_time: 0.0156 memory: 13431 grad_norm: 7.1542 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6361 loss: 1.6361 2022/08/17 09:24:50 - mmengine - INFO - Epoch(train) [229][1300/3757] lr: 2.9228e-03 eta: 11:39:13 time: 0.4134 data_time: 0.0157 memory: 13431 grad_norm: 6.8748 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4059 loss: 1.4059 2022/08/17 09:25:31 - mmengine - INFO - Epoch(train) [229][1400/3757] lr: 2.9228e-03 eta: 11:38:33 time: 0.4097 data_time: 0.0151 memory: 13431 grad_norm: 7.1842 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4272 loss: 1.4272 2022/08/17 09:25:33 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 09:26:13 - mmengine - INFO - Epoch(train) [229][1500/3757] lr: 2.9228e-03 eta: 11:37:53 time: 0.4103 data_time: 0.0161 memory: 13431 grad_norm: 7.0740 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3598 loss: 1.3598 2022/08/17 09:26:54 - mmengine - INFO - Epoch(train) [229][1600/3757] lr: 2.9228e-03 eta: 11:37:12 time: 0.4061 data_time: 0.0153 memory: 13431 grad_norm: 7.6828 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5300 loss: 1.5300 2022/08/17 09:27:36 - mmengine - INFO - Epoch(train) [229][1700/3757] lr: 2.9228e-03 eta: 11:36:32 time: 0.4184 data_time: 0.0157 memory: 13431 grad_norm: 7.0926 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3154 loss: 1.3154 2022/08/17 09:28:17 - mmengine - INFO - Epoch(train) [229][1800/3757] lr: 2.9228e-03 eta: 11:35:52 time: 0.4106 data_time: 0.0166 memory: 13431 grad_norm: 7.0715 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5736 loss: 1.5736 2022/08/17 09:28:59 - mmengine - INFO - Epoch(train) [229][1900/3757] lr: 2.9228e-03 eta: 11:35:12 time: 0.4227 data_time: 0.0162 memory: 13431 grad_norm: 7.2025 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4199 loss: 1.4199 2022/08/17 09:29:40 - mmengine - INFO - Epoch(train) [229][2000/3757] lr: 2.9228e-03 eta: 11:34:31 time: 0.4079 data_time: 0.0168 memory: 13431 grad_norm: 7.2428 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7624 loss: 1.7624 2022/08/17 09:30:22 - mmengine - INFO - Epoch(train) [229][2100/3757] lr: 2.9228e-03 eta: 11:33:51 time: 0.4092 data_time: 0.0157 memory: 13431 grad_norm: 7.1553 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4976 loss: 1.4976 2022/08/17 09:31:03 - mmengine - INFO - Epoch(train) [229][2200/3757] lr: 2.9228e-03 eta: 11:33:11 time: 0.4097 data_time: 0.0154 memory: 13431 grad_norm: 7.0402 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3625 loss: 1.3625 2022/08/17 09:31:45 - mmengine - INFO - Epoch(train) [229][2300/3757] lr: 2.9228e-03 eta: 11:32:31 time: 0.4105 data_time: 0.0161 memory: 13431 grad_norm: 7.3272 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4248 loss: 1.4248 2022/08/17 09:32:26 - mmengine - INFO - Epoch(train) [229][2400/3757] lr: 2.9228e-03 eta: 11:31:50 time: 0.4198 data_time: 0.0157 memory: 13431 grad_norm: 7.2294 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1767 loss: 1.1767 2022/08/17 09:32:28 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 09:33:08 - mmengine - INFO - Epoch(train) [229][2500/3757] lr: 2.9228e-03 eta: 11:31:10 time: 0.4106 data_time: 0.0174 memory: 13431 grad_norm: 7.1094 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3808 loss: 1.3808 2022/08/17 09:33:49 - mmengine - INFO - Epoch(train) [229][2600/3757] lr: 2.9228e-03 eta: 11:30:30 time: 0.4192 data_time: 0.0150 memory: 13431 grad_norm: 6.9819 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7511 loss: 1.7511 2022/08/17 09:34:31 - mmengine - INFO - Epoch(train) [229][2700/3757] lr: 2.9228e-03 eta: 11:29:49 time: 0.4112 data_time: 0.0186 memory: 13431 grad_norm: 7.3679 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4248 loss: 1.4248 2022/08/17 09:35:12 - mmengine - INFO - Epoch(train) [229][2800/3757] lr: 2.9228e-03 eta: 11:29:09 time: 0.4081 data_time: 0.0166 memory: 13431 grad_norm: 6.8938 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5337 loss: 1.5337 2022/08/17 09:35:54 - mmengine - INFO - Epoch(train) [229][2900/3757] lr: 2.9228e-03 eta: 11:28:29 time: 0.4124 data_time: 0.0167 memory: 13431 grad_norm: 7.2330 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6444 loss: 1.6444 2022/08/17 09:36:35 - mmengine - INFO - Epoch(train) [229][3000/3757] lr: 2.9228e-03 eta: 11:27:49 time: 0.4138 data_time: 0.0152 memory: 13431 grad_norm: 7.1960 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7111 loss: 1.7111 2022/08/17 09:37:17 - mmengine - INFO - Epoch(train) [229][3100/3757] lr: 2.9228e-03 eta: 11:27:08 time: 0.4172 data_time: 0.0157 memory: 13431 grad_norm: 7.2023 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5624 loss: 1.5624 2022/08/17 09:37:58 - mmengine - INFO - Epoch(train) [229][3200/3757] lr: 2.9228e-03 eta: 11:26:28 time: 0.4161 data_time: 0.0174 memory: 13431 grad_norm: 7.1222 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4716 loss: 1.4716 2022/08/17 09:38:40 - mmengine - INFO - Epoch(train) [229][3300/3757] lr: 2.9228e-03 eta: 11:25:48 time: 0.4185 data_time: 0.0152 memory: 13431 grad_norm: 7.0403 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3535 loss: 1.3535 2022/08/17 09:39:22 - mmengine - INFO - Epoch(train) [229][3400/3757] lr: 2.9228e-03 eta: 11:25:08 time: 0.4060 data_time: 0.0166 memory: 13431 grad_norm: 6.8643 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3362 loss: 1.3362 2022/08/17 09:39:24 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 09:40:03 - mmengine - INFO - Epoch(train) [229][3500/3757] lr: 2.9228e-03 eta: 11:24:27 time: 0.4122 data_time: 0.0165 memory: 13431 grad_norm: 7.3712 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3143 loss: 1.3143 2022/08/17 09:40:45 - mmengine - INFO - Epoch(train) [229][3600/3757] lr: 2.9228e-03 eta: 11:23:47 time: 0.4135 data_time: 0.0193 memory: 13431 grad_norm: 7.3523 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5141 loss: 1.5141 2022/08/17 09:41:26 - mmengine - INFO - Epoch(train) [229][3700/3757] lr: 2.9228e-03 eta: 11:23:07 time: 0.4082 data_time: 0.0155 memory: 13431 grad_norm: 7.0303 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4637 loss: 1.4637 2022/08/17 09:41:49 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 09:41:49 - mmengine - INFO - Epoch(train) [229][3757/3757] lr: 2.9228e-03 eta: 11:22:51 time: 0.3969 data_time: 0.0143 memory: 13431 grad_norm: 7.0402 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.3893 loss: 1.3893 2022/08/17 09:42:33 - mmengine - INFO - Epoch(train) [230][100/3757] lr: 2.7196e-03 eta: 11:22:03 time: 0.4116 data_time: 0.0165 memory: 13431 grad_norm: 7.2033 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2326 loss: 1.2326 2022/08/17 09:43:15 - mmengine - INFO - Epoch(train) [230][200/3757] lr: 2.7196e-03 eta: 11:21:23 time: 0.4100 data_time: 0.0156 memory: 13431 grad_norm: 7.1396 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6344 loss: 1.6344 2022/08/17 09:43:57 - mmengine - INFO - Epoch(train) [230][300/3757] lr: 2.7196e-03 eta: 11:20:42 time: 0.4207 data_time: 0.0159 memory: 13431 grad_norm: 6.9947 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4745 loss: 1.4745 2022/08/17 09:44:38 - mmengine - INFO - Epoch(train) [230][400/3757] lr: 2.7196e-03 eta: 11:20:02 time: 0.4118 data_time: 0.0154 memory: 13431 grad_norm: 6.9093 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3665 loss: 1.3665 2022/08/17 09:45:19 - mmengine - INFO - Epoch(train) [230][500/3757] lr: 2.7196e-03 eta: 11:19:22 time: 0.4090 data_time: 0.0159 memory: 13431 grad_norm: 7.5938 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3156 loss: 1.3156 2022/08/17 09:46:01 - mmengine - INFO - Epoch(train) [230][600/3757] lr: 2.7196e-03 eta: 11:18:42 time: 0.4144 data_time: 0.0155 memory: 13431 grad_norm: 7.2997 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4139 loss: 1.4139 2022/08/17 09:46:21 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 09:46:42 - mmengine - INFO - Epoch(train) [230][700/3757] lr: 2.7196e-03 eta: 11:18:01 time: 0.4116 data_time: 0.0150 memory: 13431 grad_norm: 7.2336 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.5188 loss: 1.5188 2022/08/17 09:47:24 - mmengine - INFO - Epoch(train) [230][800/3757] lr: 2.7196e-03 eta: 11:17:21 time: 0.4089 data_time: 0.0158 memory: 13431 grad_norm: 7.1410 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7008 loss: 1.7008 2022/08/17 09:48:06 - mmengine - INFO - Epoch(train) [230][900/3757] lr: 2.7196e-03 eta: 11:16:41 time: 0.4108 data_time: 0.0164 memory: 13431 grad_norm: 7.3938 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3782 loss: 1.3782 2022/08/17 09:48:47 - mmengine - INFO - Epoch(train) [230][1000/3757] lr: 2.7196e-03 eta: 11:16:00 time: 0.4188 data_time: 0.0154 memory: 13431 grad_norm: 7.2682 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4450 loss: 1.4450 2022/08/17 09:49:29 - mmengine - INFO - Epoch(train) [230][1100/3757] lr: 2.7196e-03 eta: 11:15:20 time: 0.4086 data_time: 0.0167 memory: 13431 grad_norm: 7.0680 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2918 loss: 1.2918 2022/08/17 09:50:10 - mmengine - INFO - Epoch(train) [230][1200/3757] lr: 2.7196e-03 eta: 11:14:40 time: 0.4131 data_time: 0.0166 memory: 13431 grad_norm: 7.2961 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4405 loss: 1.4405 2022/08/17 09:50:52 - mmengine - INFO - Epoch(train) [230][1300/3757] lr: 2.7196e-03 eta: 11:14:00 time: 0.4236 data_time: 0.0161 memory: 13431 grad_norm: 7.4228 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8277 loss: 1.8277 2022/08/17 09:51:33 - mmengine - INFO - Epoch(train) [230][1400/3757] lr: 2.7196e-03 eta: 11:13:19 time: 0.4108 data_time: 0.0160 memory: 13431 grad_norm: 7.2101 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5800 loss: 1.5800 2022/08/17 09:52:15 - mmengine - INFO - Epoch(train) [230][1500/3757] lr: 2.7196e-03 eta: 11:12:39 time: 0.4117 data_time: 0.0158 memory: 13431 grad_norm: 7.2768 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3997 loss: 1.3997 2022/08/17 09:52:56 - mmengine - INFO - Epoch(train) [230][1600/3757] lr: 2.7196e-03 eta: 11:11:59 time: 0.4094 data_time: 0.0169 memory: 13431 grad_norm: 7.3187 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6150 loss: 1.6150 2022/08/17 09:53:16 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 09:53:38 - mmengine - INFO - Epoch(train) [230][1700/3757] lr: 2.7196e-03 eta: 11:11:18 time: 0.4103 data_time: 0.0163 memory: 13431 grad_norm: 6.9850 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5590 loss: 1.5590 2022/08/17 09:54:19 - mmengine - INFO - Epoch(train) [230][1800/3757] lr: 2.7196e-03 eta: 11:10:38 time: 0.4105 data_time: 0.0163 memory: 13431 grad_norm: 7.4137 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5983 loss: 1.5983 2022/08/17 09:55:00 - mmengine - INFO - Epoch(train) [230][1900/3757] lr: 2.7196e-03 eta: 11:09:58 time: 0.4112 data_time: 0.0163 memory: 13431 grad_norm: 7.2952 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5060 loss: 1.5060 2022/08/17 09:55:42 - mmengine - INFO - Epoch(train) [230][2000/3757] lr: 2.7196e-03 eta: 11:09:18 time: 0.4285 data_time: 0.0159 memory: 13431 grad_norm: 7.3264 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5262 loss: 1.5262 2022/08/17 09:56:23 - mmengine - INFO - Epoch(train) [230][2100/3757] lr: 2.7196e-03 eta: 11:08:37 time: 0.4127 data_time: 0.0167 memory: 13431 grad_norm: 7.2514 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5930 loss: 1.5930 2022/08/17 09:57:05 - mmengine - INFO - Epoch(train) [230][2200/3757] lr: 2.7196e-03 eta: 11:07:57 time: 0.4190 data_time: 0.0154 memory: 13431 grad_norm: 7.2028 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4295 loss: 1.4295 2022/08/17 09:57:46 - mmengine - INFO - Epoch(train) [230][2300/3757] lr: 2.7196e-03 eta: 11:07:17 time: 0.4121 data_time: 0.0168 memory: 13431 grad_norm: 7.2338 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3824 loss: 1.3824 2022/08/17 09:58:28 - mmengine - INFO - Epoch(train) [230][2400/3757] lr: 2.7196e-03 eta: 11:06:36 time: 0.4108 data_time: 0.0154 memory: 13431 grad_norm: 7.4973 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6529 loss: 1.6529 2022/08/17 09:59:09 - mmengine - INFO - Epoch(train) [230][2500/3757] lr: 2.7196e-03 eta: 11:05:56 time: 0.4176 data_time: 0.0164 memory: 13431 grad_norm: 7.3507 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4973 loss: 1.4973 2022/08/17 09:59:51 - mmengine - INFO - Epoch(train) [230][2600/3757] lr: 2.7196e-03 eta: 11:05:16 time: 0.4108 data_time: 0.0157 memory: 13431 grad_norm: 7.2804 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7202 loss: 1.7202 2022/08/17 10:00:10 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 10:00:32 - mmengine - INFO - Epoch(train) [230][2700/3757] lr: 2.7196e-03 eta: 11:04:36 time: 0.4209 data_time: 0.0174 memory: 13431 grad_norm: 7.2450 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4972 loss: 1.4972 2022/08/17 10:01:14 - mmengine - INFO - Epoch(train) [230][2800/3757] lr: 2.7196e-03 eta: 11:03:55 time: 0.4125 data_time: 0.0163 memory: 13431 grad_norm: 7.2738 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5733 loss: 1.5733 2022/08/17 10:01:55 - mmengine - INFO - Epoch(train) [230][2900/3757] lr: 2.7196e-03 eta: 11:03:15 time: 0.4141 data_time: 0.0154 memory: 13431 grad_norm: 7.1784 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5123 loss: 1.5123 2022/08/17 10:02:37 - mmengine - INFO - Epoch(train) [230][3000/3757] lr: 2.7196e-03 eta: 11:02:35 time: 0.4107 data_time: 0.0159 memory: 13431 grad_norm: 7.0878 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5547 loss: 1.5547 2022/08/17 10:03:19 - mmengine - INFO - Epoch(train) [230][3100/3757] lr: 2.7196e-03 eta: 11:01:55 time: 0.4107 data_time: 0.0155 memory: 13431 grad_norm: 7.1543 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5058 loss: 1.5058 2022/08/17 10:04:00 - mmengine - INFO - Epoch(train) [230][3200/3757] lr: 2.7196e-03 eta: 11:01:14 time: 0.4122 data_time: 0.0167 memory: 13431 grad_norm: 7.2904 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5987 loss: 1.5987 2022/08/17 10:04:42 - mmengine - INFO - Epoch(train) [230][3300/3757] lr: 2.7196e-03 eta: 11:00:34 time: 0.4113 data_time: 0.0160 memory: 13431 grad_norm: 7.3690 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.5102 loss: 1.5102 2022/08/17 10:05:23 - mmengine - INFO - Epoch(train) [230][3400/3757] lr: 2.7196e-03 eta: 10:59:54 time: 0.4149 data_time: 0.0150 memory: 13431 grad_norm: 7.1350 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3005 loss: 1.3005 2022/08/17 10:06:05 - mmengine - INFO - Epoch(train) [230][3500/3757] lr: 2.7196e-03 eta: 10:59:13 time: 0.4098 data_time: 0.0148 memory: 13431 grad_norm: 7.1762 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4204 loss: 1.4204 2022/08/17 10:06:46 - mmengine - INFO - Epoch(train) [230][3600/3757] lr: 2.7196e-03 eta: 10:58:33 time: 0.4091 data_time: 0.0162 memory: 13431 grad_norm: 7.0697 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6554 loss: 1.6554 2022/08/17 10:07:06 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 10:07:28 - mmengine - INFO - Epoch(train) [230][3700/3757] lr: 2.7196e-03 eta: 10:57:53 time: 0.4097 data_time: 0.0163 memory: 13431 grad_norm: 7.4767 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5061 loss: 1.5061 2022/08/17 10:07:51 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 10:07:51 - mmengine - INFO - Epoch(train) [230][3757/3757] lr: 2.7196e-03 eta: 10:57:37 time: 0.3945 data_time: 0.0148 memory: 13431 grad_norm: 7.2691 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.4118 loss: 1.4118 2022/08/17 10:08:14 - mmengine - INFO - Epoch(val) [230][100/310] eta: 0:00:42 time: 0.2040 data_time: 0.0750 memory: 1974 2022/08/17 10:08:36 - mmengine - INFO - Epoch(val) [230][200/310] eta: 0:00:20 time: 0.1892 data_time: 0.0602 memory: 1974 2022/08/17 10:08:57 - mmengine - INFO - Epoch(val) [230][300/310] eta: 0:00:01 time: 0.1973 data_time: 0.0700 memory: 1974 2022/08/17 10:09:01 - mmengine - INFO - Epoch(val) [230][310/310] acc/top1: 0.6805 acc/top5: 0.8772 acc/mean1: 0.6804 2022/08/17 10:09:01 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_226.pth is removed 2022/08/17 10:09:06 - mmengine - INFO - The best checkpoint with 0.6805 acc/top1 at 231 epoch is saved to best_acc/top1_epoch_231.pth. 2022/08/17 10:09:48 - mmengine - INFO - Epoch(train) [231][100/3757] lr: 2.5236e-03 eta: 10:56:49 time: 0.4087 data_time: 0.0159 memory: 13431 grad_norm: 7.4199 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5527 loss: 1.5527 2022/08/17 10:10:30 - mmengine - INFO - Epoch(train) [231][200/3757] lr: 2.5236e-03 eta: 10:56:09 time: 0.4097 data_time: 0.0152 memory: 13431 grad_norm: 7.4587 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3666 loss: 1.3666 2022/08/17 10:11:11 - mmengine - INFO - Epoch(train) [231][300/3757] lr: 2.5236e-03 eta: 10:55:28 time: 0.4122 data_time: 0.0174 memory: 13431 grad_norm: 7.4880 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6437 loss: 1.6437 2022/08/17 10:11:53 - mmengine - INFO - Epoch(train) [231][400/3757] lr: 2.5236e-03 eta: 10:54:48 time: 0.4137 data_time: 0.0174 memory: 13431 grad_norm: 7.4550 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.7199 loss: 1.7199 2022/08/17 10:12:34 - mmengine - INFO - Epoch(train) [231][500/3757] lr: 2.5236e-03 eta: 10:54:08 time: 0.4083 data_time: 0.0156 memory: 13431 grad_norm: 7.3644 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.2371 loss: 1.2371 2022/08/17 10:13:16 - mmengine - INFO - Epoch(train) [231][600/3757] lr: 2.5236e-03 eta: 10:53:27 time: 0.4160 data_time: 0.0158 memory: 13431 grad_norm: 7.2931 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4131 loss: 1.4131 2022/08/17 10:13:57 - mmengine - INFO - Epoch(train) [231][700/3757] lr: 2.5236e-03 eta: 10:52:47 time: 0.4115 data_time: 0.0168 memory: 13431 grad_norm: 7.3813 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4957 loss: 1.4957 2022/08/17 10:14:39 - mmengine - INFO - Epoch(train) [231][800/3757] lr: 2.5236e-03 eta: 10:52:07 time: 0.4118 data_time: 0.0169 memory: 13431 grad_norm: 7.1399 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3965 loss: 1.3965 2022/08/17 10:15:16 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 10:15:20 - mmengine - INFO - Epoch(train) [231][900/3757] lr: 2.5236e-03 eta: 10:51:27 time: 0.4127 data_time: 0.0175 memory: 13431 grad_norm: 7.5644 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4634 loss: 1.4634 2022/08/17 10:16:01 - mmengine - INFO - Epoch(train) [231][1000/3757] lr: 2.5236e-03 eta: 10:50:46 time: 0.4110 data_time: 0.0165 memory: 13431 grad_norm: 7.0927 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2453 loss: 1.2453 2022/08/17 10:16:43 - mmengine - INFO - Epoch(train) [231][1100/3757] lr: 2.5236e-03 eta: 10:50:06 time: 0.4197 data_time: 0.0171 memory: 13431 grad_norm: 7.3394 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3667 loss: 1.3667 2022/08/17 10:17:24 - mmengine - INFO - Epoch(train) [231][1200/3757] lr: 2.5236e-03 eta: 10:49:26 time: 0.4111 data_time: 0.0169 memory: 13431 grad_norm: 7.3725 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1357 loss: 1.1357 2022/08/17 10:18:06 - mmengine - INFO - Epoch(train) [231][1300/3757] lr: 2.5236e-03 eta: 10:48:45 time: 0.4177 data_time: 0.0165 memory: 13431 grad_norm: 7.1531 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0827 loss: 1.0827 2022/08/17 10:18:47 - mmengine - INFO - Epoch(train) [231][1400/3757] lr: 2.5236e-03 eta: 10:48:05 time: 0.4124 data_time: 0.0170 memory: 13431 grad_norm: 7.4547 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4977 loss: 1.4977 2022/08/17 10:19:29 - mmengine - INFO - Epoch(train) [231][1500/3757] lr: 2.5236e-03 eta: 10:47:25 time: 0.4099 data_time: 0.0168 memory: 13431 grad_norm: 6.8832 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2673 loss: 1.2673 2022/08/17 10:20:10 - mmengine - INFO - Epoch(train) [231][1600/3757] lr: 2.5236e-03 eta: 10:46:45 time: 0.4105 data_time: 0.0162 memory: 13431 grad_norm: 7.3470 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6287 loss: 1.6287 2022/08/17 10:20:52 - mmengine - INFO - Epoch(train) [231][1700/3757] lr: 2.5236e-03 eta: 10:46:04 time: 0.4126 data_time: 0.0173 memory: 13431 grad_norm: 7.2639 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3468 loss: 1.3468 2022/08/17 10:21:33 - mmengine - INFO - Epoch(train) [231][1800/3757] lr: 2.5236e-03 eta: 10:45:24 time: 0.4146 data_time: 0.0165 memory: 13431 grad_norm: 7.1269 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3744 loss: 1.3744 2022/08/17 10:22:10 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 10:22:15 - mmengine - INFO - Epoch(train) [231][1900/3757] lr: 2.5236e-03 eta: 10:44:44 time: 0.4069 data_time: 0.0163 memory: 13431 grad_norm: 7.2343 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3683 loss: 1.3683 2022/08/17 10:22:56 - mmengine - INFO - Epoch(train) [231][2000/3757] lr: 2.5236e-03 eta: 10:44:03 time: 0.4136 data_time: 0.0158 memory: 13431 grad_norm: 7.5353 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3321 loss: 1.3321 2022/08/17 10:23:37 - mmengine - INFO - Epoch(train) [231][2100/3757] lr: 2.5236e-03 eta: 10:43:23 time: 0.4094 data_time: 0.0156 memory: 13431 grad_norm: 7.4560 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6467 loss: 1.6467 2022/08/17 10:24:19 - mmengine - INFO - Epoch(train) [231][2200/3757] lr: 2.5236e-03 eta: 10:42:43 time: 0.4092 data_time: 0.0174 memory: 13431 grad_norm: 7.3766 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3501 loss: 1.3501 2022/08/17 10:25:00 - mmengine - INFO - Epoch(train) [231][2300/3757] lr: 2.5236e-03 eta: 10:42:02 time: 0.4084 data_time: 0.0158 memory: 13431 grad_norm: 7.5000 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2849 loss: 1.2849 2022/08/17 10:25:42 - mmengine - INFO - Epoch(train) [231][2400/3757] lr: 2.5236e-03 eta: 10:41:22 time: 0.4152 data_time: 0.0163 memory: 13431 grad_norm: 7.0749 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5970 loss: 1.5970 2022/08/17 10:26:23 - mmengine - INFO - Epoch(train) [231][2500/3757] lr: 2.5236e-03 eta: 10:40:42 time: 0.4165 data_time: 0.0164 memory: 13431 grad_norm: 7.3146 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5608 loss: 1.5608 2022/08/17 10:27:05 - mmengine - INFO - Epoch(train) [231][2600/3757] lr: 2.5236e-03 eta: 10:40:02 time: 0.4175 data_time: 0.0170 memory: 13431 grad_norm: 7.4187 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6277 loss: 1.6277 2022/08/17 10:27:46 - mmengine - INFO - Epoch(train) [231][2700/3757] lr: 2.5236e-03 eta: 10:39:21 time: 0.4129 data_time: 0.0158 memory: 13431 grad_norm: 7.0997 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4053 loss: 1.4053 2022/08/17 10:28:27 - mmengine - INFO - Epoch(train) [231][2800/3757] lr: 2.5236e-03 eta: 10:38:41 time: 0.4105 data_time: 0.0162 memory: 13431 grad_norm: 7.1572 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5517 loss: 1.5517 2022/08/17 10:29:05 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 10:29:09 - mmengine - INFO - Epoch(train) [231][2900/3757] lr: 2.5236e-03 eta: 10:38:01 time: 0.4117 data_time: 0.0160 memory: 13431 grad_norm: 7.5943 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7176 loss: 1.7176 2022/08/17 10:29:51 - mmengine - INFO - Epoch(train) [231][3000/3757] lr: 2.5236e-03 eta: 10:37:20 time: 0.4112 data_time: 0.0157 memory: 13431 grad_norm: 7.1991 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3358 loss: 1.3358 2022/08/17 10:30:32 - mmengine - INFO - Epoch(train) [231][3100/3757] lr: 2.5236e-03 eta: 10:36:40 time: 0.4103 data_time: 0.0170 memory: 13431 grad_norm: 7.2811 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3072 loss: 1.3072 2022/08/17 10:31:14 - mmengine - INFO - Epoch(train) [231][3200/3757] lr: 2.5236e-03 eta: 10:36:00 time: 0.4136 data_time: 0.0167 memory: 13431 grad_norm: 7.2231 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4906 loss: 1.4906 2022/08/17 10:31:55 - mmengine - INFO - Epoch(train) [231][3300/3757] lr: 2.5236e-03 eta: 10:35:20 time: 0.4228 data_time: 0.0169 memory: 13431 grad_norm: 7.4402 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4252 loss: 1.4252 2022/08/17 10:32:37 - mmengine - INFO - Epoch(train) [231][3400/3757] lr: 2.5236e-03 eta: 10:34:39 time: 0.4175 data_time: 0.0158 memory: 13431 grad_norm: 7.4689 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6053 loss: 1.6053 2022/08/17 10:33:19 - mmengine - INFO - Epoch(train) [231][3500/3757] lr: 2.5236e-03 eta: 10:33:59 time: 0.4151 data_time: 0.0162 memory: 13431 grad_norm: 7.5422 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3688 loss: 1.3688 2022/08/17 10:34:00 - mmengine - INFO - Epoch(train) [231][3600/3757] lr: 2.5236e-03 eta: 10:33:19 time: 0.4104 data_time: 0.0159 memory: 13431 grad_norm: 7.4035 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5467 loss: 1.5467 2022/08/17 10:34:41 - mmengine - INFO - Epoch(train) [231][3700/3757] lr: 2.5236e-03 eta: 10:32:38 time: 0.4090 data_time: 0.0153 memory: 13431 grad_norm: 7.3239 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5996 loss: 1.5996 2022/08/17 10:35:05 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 10:35:05 - mmengine - INFO - Epoch(train) [231][3757/3757] lr: 2.5236e-03 eta: 10:32:22 time: 0.4049 data_time: 0.0145 memory: 13431 grad_norm: 7.3077 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.4684 loss: 1.4684 2022/08/17 10:35:48 - mmengine - INFO - Epoch(train) [232][100/3757] lr: 2.3347e-03 eta: 10:31:35 time: 0.4098 data_time: 0.0170 memory: 13431 grad_norm: 7.5392 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5093 loss: 1.5093 2022/08/17 10:36:02 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 10:36:29 - mmengine - INFO - Epoch(train) [232][200/3757] lr: 2.3347e-03 eta: 10:30:54 time: 0.4091 data_time: 0.0169 memory: 13431 grad_norm: 7.8147 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5779 loss: 1.5779 2022/08/17 10:37:11 - mmengine - INFO - Epoch(train) [232][300/3757] lr: 2.3347e-03 eta: 10:30:14 time: 0.4112 data_time: 0.0158 memory: 13431 grad_norm: 7.4705 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1634 loss: 1.1634 2022/08/17 10:37:52 - mmengine - INFO - Epoch(train) [232][400/3757] lr: 2.3347e-03 eta: 10:29:34 time: 0.4121 data_time: 0.0156 memory: 13431 grad_norm: 7.3381 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4629 loss: 1.4629 2022/08/17 10:38:34 - mmengine - INFO - Epoch(train) [232][500/3757] lr: 2.3347e-03 eta: 10:28:53 time: 0.4082 data_time: 0.0152 memory: 13431 grad_norm: 6.9912 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4290 loss: 1.4290 2022/08/17 10:39:15 - mmengine - INFO - Epoch(train) [232][600/3757] lr: 2.3347e-03 eta: 10:28:13 time: 0.4090 data_time: 0.0160 memory: 13431 grad_norm: 7.1654 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4500 loss: 1.4500 2022/08/17 10:39:56 - mmengine - INFO - Epoch(train) [232][700/3757] lr: 2.3347e-03 eta: 10:27:33 time: 0.4182 data_time: 0.0153 memory: 13431 grad_norm: 7.5159 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5560 loss: 1.5560 2022/08/17 10:40:38 - mmengine - INFO - Epoch(train) [232][800/3757] lr: 2.3347e-03 eta: 10:26:52 time: 0.4093 data_time: 0.0160 memory: 13431 grad_norm: 7.4221 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3986 loss: 1.3986 2022/08/17 10:41:19 - mmengine - INFO - Epoch(train) [232][900/3757] lr: 2.3347e-03 eta: 10:26:12 time: 0.4132 data_time: 0.0158 memory: 13431 grad_norm: 7.5396 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4343 loss: 1.4343 2022/08/17 10:42:01 - mmengine - INFO - Epoch(train) [232][1000/3757] lr: 2.3347e-03 eta: 10:25:32 time: 0.4113 data_time: 0.0166 memory: 13431 grad_norm: 7.5882 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5471 loss: 1.5471 2022/08/17 10:42:42 - mmengine - INFO - Epoch(train) [232][1100/3757] lr: 2.3347e-03 eta: 10:24:52 time: 0.4119 data_time: 0.0154 memory: 13431 grad_norm: 7.5958 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3291 loss: 1.3291 2022/08/17 10:42:57 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 10:43:24 - mmengine - INFO - Epoch(train) [232][1200/3757] lr: 2.3347e-03 eta: 10:24:11 time: 0.4094 data_time: 0.0159 memory: 13431 grad_norm: 7.4430 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5064 loss: 1.5064 2022/08/17 10:44:06 - mmengine - INFO - Epoch(train) [232][1300/3757] lr: 2.3347e-03 eta: 10:23:31 time: 0.4126 data_time: 0.0165 memory: 13431 grad_norm: 7.5964 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6827 loss: 1.6827 2022/08/17 10:44:47 - mmengine - INFO - Epoch(train) [232][1400/3757] lr: 2.3347e-03 eta: 10:22:51 time: 0.4139 data_time: 0.0162 memory: 13431 grad_norm: 7.3409 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4614 loss: 1.4614 2022/08/17 10:45:29 - mmengine - INFO - Epoch(train) [232][1500/3757] lr: 2.3347e-03 eta: 10:22:10 time: 0.4097 data_time: 0.0168 memory: 13431 grad_norm: 7.4334 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0944 loss: 1.0944 2022/08/17 10:46:10 - mmengine - INFO - Epoch(train) [232][1600/3757] lr: 2.3347e-03 eta: 10:21:30 time: 0.4136 data_time: 0.0151 memory: 13431 grad_norm: 7.5862 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6642 loss: 1.6642 2022/08/17 10:46:52 - mmengine - INFO - Epoch(train) [232][1700/3757] lr: 2.3347e-03 eta: 10:20:50 time: 0.4095 data_time: 0.0161 memory: 13431 grad_norm: 7.5097 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4638 loss: 1.4638 2022/08/17 10:47:34 - mmengine - INFO - Epoch(train) [232][1800/3757] lr: 2.3347e-03 eta: 10:20:10 time: 0.4182 data_time: 0.0160 memory: 13431 grad_norm: 7.4183 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4650 loss: 1.4650 2022/08/17 10:48:15 - mmengine - INFO - Epoch(train) [232][1900/3757] lr: 2.3347e-03 eta: 10:19:29 time: 0.4168 data_time: 0.0153 memory: 13431 grad_norm: 7.8607 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4350 loss: 1.4350 2022/08/17 10:48:56 - mmengine - INFO - Epoch(train) [232][2000/3757] lr: 2.3347e-03 eta: 10:18:49 time: 0.4145 data_time: 0.0175 memory: 13431 grad_norm: 7.3398 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2636 loss: 1.2636 2022/08/17 10:49:38 - mmengine - INFO - Epoch(train) [232][2100/3757] lr: 2.3347e-03 eta: 10:18:09 time: 0.4129 data_time: 0.0156 memory: 13431 grad_norm: 7.3406 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4067 loss: 1.4067 2022/08/17 10:49:52 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 10:50:19 - mmengine - INFO - Epoch(train) [232][2200/3757] lr: 2.3347e-03 eta: 10:17:28 time: 0.4097 data_time: 0.0156 memory: 13431 grad_norm: 7.4823 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5001 loss: 1.5001 2022/08/17 10:51:01 - mmengine - INFO - Epoch(train) [232][2300/3757] lr: 2.3347e-03 eta: 10:16:48 time: 0.4174 data_time: 0.0160 memory: 13431 grad_norm: 7.1898 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3472 loss: 1.3472 2022/08/17 10:51:43 - mmengine - INFO - Epoch(train) [232][2400/3757] lr: 2.3347e-03 eta: 10:16:08 time: 0.4095 data_time: 0.0151 memory: 13431 grad_norm: 7.7037 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3703 loss: 1.3703 2022/08/17 10:52:24 - mmengine - INFO - Epoch(train) [232][2500/3757] lr: 2.3347e-03 eta: 10:15:27 time: 0.4150 data_time: 0.0176 memory: 13431 grad_norm: 7.6047 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4866 loss: 1.4866 2022/08/17 10:53:05 - mmengine - INFO - Epoch(train) [232][2600/3757] lr: 2.3347e-03 eta: 10:14:47 time: 0.4098 data_time: 0.0165 memory: 13431 grad_norm: 7.6280 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5138 loss: 1.5138 2022/08/17 10:53:47 - mmengine - INFO - Epoch(train) [232][2700/3757] lr: 2.3347e-03 eta: 10:14:07 time: 0.4078 data_time: 0.0156 memory: 13431 grad_norm: 7.9187 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3787 loss: 1.3787 2022/08/17 10:54:29 - mmengine - INFO - Epoch(train) [232][2800/3757] lr: 2.3347e-03 eta: 10:13:27 time: 0.4218 data_time: 0.0159 memory: 13431 grad_norm: 7.3836 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3460 loss: 1.3460 2022/08/17 10:55:10 - mmengine - INFO - Epoch(train) [232][2900/3757] lr: 2.3347e-03 eta: 10:12:46 time: 0.4113 data_time: 0.0158 memory: 13431 grad_norm: 7.5945 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4375 loss: 1.4375 2022/08/17 10:55:52 - mmengine - INFO - Epoch(train) [232][3000/3757] lr: 2.3347e-03 eta: 10:12:06 time: 0.4194 data_time: 0.0161 memory: 13431 grad_norm: 7.4551 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5037 loss: 1.5037 2022/08/17 10:56:33 - mmengine - INFO - Epoch(train) [232][3100/3757] lr: 2.3347e-03 eta: 10:11:26 time: 0.4126 data_time: 0.0158 memory: 13431 grad_norm: 7.6313 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5955 loss: 1.5955 2022/08/17 10:56:47 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 10:57:15 - mmengine - INFO - Epoch(train) [232][3200/3757] lr: 2.3347e-03 eta: 10:10:45 time: 0.4147 data_time: 0.0154 memory: 13431 grad_norm: 7.7391 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5416 loss: 1.5416 2022/08/17 10:57:56 - mmengine - INFO - Epoch(train) [232][3300/3757] lr: 2.3347e-03 eta: 10:10:05 time: 0.4139 data_time: 0.0163 memory: 13431 grad_norm: 7.4748 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0516 loss: 1.0516 2022/08/17 10:58:38 - mmengine - INFO - Epoch(train) [232][3400/3757] lr: 2.3347e-03 eta: 10:09:25 time: 0.4123 data_time: 0.0159 memory: 13431 grad_norm: 7.5625 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.4259 loss: 1.4259 2022/08/17 10:59:19 - mmengine - INFO - Epoch(train) [232][3500/3757] lr: 2.3347e-03 eta: 10:08:44 time: 0.4172 data_time: 0.0168 memory: 13431 grad_norm: 7.4216 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4275 loss: 1.4275 2022/08/17 11:00:00 - mmengine - INFO - Epoch(train) [232][3600/3757] lr: 2.3347e-03 eta: 10:08:04 time: 0.4078 data_time: 0.0161 memory: 13431 grad_norm: 7.6405 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6526 loss: 1.6526 2022/08/17 11:00:42 - mmengine - INFO - Epoch(train) [232][3700/3757] lr: 2.3347e-03 eta: 10:07:24 time: 0.4156 data_time: 0.0159 memory: 13431 grad_norm: 7.4965 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5919 loss: 1.5919 2022/08/17 11:01:05 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 11:01:05 - mmengine - INFO - Epoch(train) [232][3757/3757] lr: 2.3347e-03 eta: 10:07:08 time: 0.4008 data_time: 0.0152 memory: 13431 grad_norm: 7.2931 top1_acc: 0.4286 top5_acc: 0.4286 loss_cls: 1.6425 loss: 1.6425 2022/08/17 11:01:05 - mmengine - INFO - Saving checkpoint at 232 epochs 2022/08/17 11:01:55 - mmengine - INFO - Epoch(train) [233][100/3757] lr: 2.1530e-03 eta: 10:06:20 time: 0.4097 data_time: 0.0149 memory: 13431 grad_norm: 7.2344 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.5711 loss: 1.5711 2022/08/17 11:02:36 - mmengine - INFO - Epoch(train) [233][200/3757] lr: 2.1530e-03 eta: 10:05:40 time: 0.4097 data_time: 0.0176 memory: 13431 grad_norm: 7.6433 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6193 loss: 1.6193 2022/08/17 11:03:18 - mmengine - INFO - Epoch(train) [233][300/3757] lr: 2.1530e-03 eta: 10:04:59 time: 0.4100 data_time: 0.0159 memory: 13431 grad_norm: 7.5516 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4871 loss: 1.4871 2022/08/17 11:03:49 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 11:03:59 - mmengine - INFO - Epoch(train) [233][400/3757] lr: 2.1530e-03 eta: 10:04:19 time: 0.4093 data_time: 0.0166 memory: 13431 grad_norm: 7.4894 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1788 loss: 1.1788 2022/08/17 11:04:41 - mmengine - INFO - Epoch(train) [233][500/3757] lr: 2.1530e-03 eta: 10:03:39 time: 0.4082 data_time: 0.0162 memory: 13431 grad_norm: 7.4030 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2563 loss: 1.2563 2022/08/17 11:05:22 - mmengine - INFO - Epoch(train) [233][600/3757] lr: 2.1530e-03 eta: 10:02:58 time: 0.4150 data_time: 0.0161 memory: 13431 grad_norm: 7.3806 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6684 loss: 1.6684 2022/08/17 11:06:04 - mmengine - INFO - Epoch(train) [233][700/3757] lr: 2.1530e-03 eta: 10:02:18 time: 0.4067 data_time: 0.0151 memory: 13431 grad_norm: 7.6067 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8204 loss: 1.8204 2022/08/17 11:06:45 - mmengine - INFO - Epoch(train) [233][800/3757] lr: 2.1530e-03 eta: 10:01:38 time: 0.4147 data_time: 0.0157 memory: 13431 grad_norm: 7.6139 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1912 loss: 1.1912 2022/08/17 11:07:27 - mmengine - INFO - Epoch(train) [233][900/3757] lr: 2.1530e-03 eta: 10:00:58 time: 0.4105 data_time: 0.0157 memory: 13431 grad_norm: 7.4475 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3283 loss: 1.3283 2022/08/17 11:08:08 - mmengine - INFO - Epoch(train) [233][1000/3757] lr: 2.1530e-03 eta: 10:00:17 time: 0.4095 data_time: 0.0154 memory: 13431 grad_norm: 7.3373 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4334 loss: 1.4334 2022/08/17 11:08:50 - mmengine - INFO - Epoch(train) [233][1100/3757] lr: 2.1530e-03 eta: 9:59:37 time: 0.4100 data_time: 0.0160 memory: 13431 grad_norm: 7.6229 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5388 loss: 1.5388 2022/08/17 11:09:31 - mmengine - INFO - Epoch(train) [233][1200/3757] lr: 2.1530e-03 eta: 9:58:57 time: 0.4091 data_time: 0.0153 memory: 13431 grad_norm: 7.2626 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4329 loss: 1.4329 2022/08/17 11:10:13 - mmengine - INFO - Epoch(train) [233][1300/3757] lr: 2.1530e-03 eta: 9:58:16 time: 0.4143 data_time: 0.0168 memory: 13431 grad_norm: 7.5242 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4314 loss: 1.4314 2022/08/17 11:10:45 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 11:10:55 - mmengine - INFO - Epoch(train) [233][1400/3757] lr: 2.1530e-03 eta: 9:57:36 time: 0.4087 data_time: 0.0169 memory: 13431 grad_norm: 7.5616 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5689 loss: 1.5689 2022/08/17 11:11:36 - mmengine - INFO - Epoch(train) [233][1500/3757] lr: 2.1530e-03 eta: 9:56:56 time: 0.4123 data_time: 0.0166 memory: 13431 grad_norm: 7.9246 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4240 loss: 1.4240 2022/08/17 11:12:18 - mmengine - INFO - Epoch(train) [233][1600/3757] lr: 2.1530e-03 eta: 9:56:16 time: 0.4128 data_time: 0.0177 memory: 13431 grad_norm: 7.7418 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4246 loss: 1.4246 2022/08/17 11:12:59 - mmengine - INFO - Epoch(train) [233][1700/3757] lr: 2.1530e-03 eta: 9:55:35 time: 0.4105 data_time: 0.0168 memory: 13431 grad_norm: 7.5724 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2791 loss: 1.2791 2022/08/17 11:13:41 - mmengine - INFO - Epoch(train) [233][1800/3757] lr: 2.1530e-03 eta: 9:54:55 time: 0.4096 data_time: 0.0154 memory: 13431 grad_norm: 7.3183 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1760 loss: 1.1760 2022/08/17 11:14:23 - mmengine - INFO - Epoch(train) [233][1900/3757] lr: 2.1530e-03 eta: 9:54:15 time: 0.4115 data_time: 0.0166 memory: 13431 grad_norm: 7.6102 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4348 loss: 1.4348 2022/08/17 11:15:04 - mmengine - INFO - Epoch(train) [233][2000/3757] lr: 2.1530e-03 eta: 9:53:34 time: 0.4101 data_time: 0.0174 memory: 13431 grad_norm: 7.5400 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4446 loss: 1.4446 2022/08/17 11:15:46 - mmengine - INFO - Epoch(train) [233][2100/3757] lr: 2.1530e-03 eta: 9:52:54 time: 0.4116 data_time: 0.0156 memory: 13431 grad_norm: 7.7270 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4959 loss: 1.4959 2022/08/17 11:16:28 - mmengine - INFO - Epoch(train) [233][2200/3757] lr: 2.1530e-03 eta: 9:52:14 time: 0.4236 data_time: 0.0162 memory: 13431 grad_norm: 7.3810 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3362 loss: 1.3362 2022/08/17 11:17:10 - mmengine - INFO - Epoch(train) [233][2300/3757] lr: 2.1530e-03 eta: 9:51:34 time: 0.4167 data_time: 0.0165 memory: 13431 grad_norm: 7.4053 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1625 loss: 1.1625 2022/08/17 11:17:41 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 11:17:51 - mmengine - INFO - Epoch(train) [233][2400/3757] lr: 2.1530e-03 eta: 9:50:53 time: 0.4098 data_time: 0.0167 memory: 13431 grad_norm: 7.5642 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4483 loss: 1.4483 2022/08/17 11:18:33 - mmengine - INFO - Epoch(train) [233][2500/3757] lr: 2.1530e-03 eta: 9:50:13 time: 0.4105 data_time: 0.0157 memory: 13431 grad_norm: 7.3888 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1972 loss: 1.1972 2022/08/17 11:19:14 - mmengine - INFO - Epoch(train) [233][2600/3757] lr: 2.1530e-03 eta: 9:49:33 time: 0.4122 data_time: 0.0162 memory: 13431 grad_norm: 7.5047 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2214 loss: 1.2214 2022/08/17 11:19:56 - mmengine - INFO - Epoch(train) [233][2700/3757] lr: 2.1530e-03 eta: 9:48:52 time: 0.4131 data_time: 0.0170 memory: 13431 grad_norm: 7.8547 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3612 loss: 1.3612 2022/08/17 11:20:38 - mmengine - INFO - Epoch(train) [233][2800/3757] lr: 2.1530e-03 eta: 9:48:12 time: 0.4104 data_time: 0.0154 memory: 13431 grad_norm: 7.5583 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3602 loss: 1.3602 2022/08/17 11:21:19 - mmengine - INFO - Epoch(train) [233][2900/3757] lr: 2.1530e-03 eta: 9:47:32 time: 0.4182 data_time: 0.0162 memory: 13431 grad_norm: 7.3968 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4040 loss: 1.4040 2022/08/17 11:22:01 - mmengine - INFO - Epoch(train) [233][3000/3757] lr: 2.1530e-03 eta: 9:46:51 time: 0.4104 data_time: 0.0174 memory: 13431 grad_norm: 7.3930 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4162 loss: 1.4162 2022/08/17 11:22:43 - mmengine - INFO - Epoch(train) [233][3100/3757] lr: 2.1530e-03 eta: 9:46:11 time: 0.4099 data_time: 0.0159 memory: 13431 grad_norm: 7.5998 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3441 loss: 1.3441 2022/08/17 11:23:24 - mmengine - INFO - Epoch(train) [233][3200/3757] lr: 2.1530e-03 eta: 9:45:31 time: 0.4111 data_time: 0.0165 memory: 13431 grad_norm: 7.8143 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1183 loss: 1.1183 2022/08/17 11:24:06 - mmengine - INFO - Epoch(train) [233][3300/3757] lr: 2.1530e-03 eta: 9:44:51 time: 0.4157 data_time: 0.0156 memory: 13431 grad_norm: 7.8828 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6057 loss: 1.6057 2022/08/17 11:24:38 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 11:24:48 - mmengine - INFO - Epoch(train) [233][3400/3757] lr: 2.1530e-03 eta: 9:44:10 time: 0.4184 data_time: 0.0151 memory: 13431 grad_norm: 7.6018 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5028 loss: 1.5028 2022/08/17 11:25:29 - mmengine - INFO - Epoch(train) [233][3500/3757] lr: 2.1530e-03 eta: 9:43:30 time: 0.4117 data_time: 0.0155 memory: 13431 grad_norm: 7.7774 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3719 loss: 1.3719 2022/08/17 11:26:11 - mmengine - INFO - Epoch(train) [233][3600/3757] lr: 2.1530e-03 eta: 9:42:50 time: 0.4229 data_time: 0.0158 memory: 13431 grad_norm: 7.6629 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3134 loss: 1.3134 2022/08/17 11:26:53 - mmengine - INFO - Epoch(train) [233][3700/3757] lr: 2.1530e-03 eta: 9:42:09 time: 0.4086 data_time: 0.0159 memory: 13431 grad_norm: 7.7999 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4270 loss: 1.4270 2022/08/17 11:27:16 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 11:27:16 - mmengine - INFO - Epoch(train) [233][3757/3757] lr: 2.1530e-03 eta: 9:41:53 time: 0.4011 data_time: 0.0152 memory: 13431 grad_norm: 7.2015 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 1.4854 loss: 1.4854 2022/08/17 11:28:01 - mmengine - INFO - Epoch(train) [234][100/3757] lr: 1.9785e-03 eta: 9:41:06 time: 0.4260 data_time: 0.0165 memory: 13431 grad_norm: 7.3502 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4251 loss: 1.4251 2022/08/17 11:28:43 - mmengine - INFO - Epoch(train) [234][200/3757] lr: 1.9785e-03 eta: 9:40:25 time: 0.4148 data_time: 0.0164 memory: 13431 grad_norm: 7.4340 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1490 loss: 1.1490 2022/08/17 11:29:25 - mmengine - INFO - Epoch(train) [234][300/3757] lr: 1.9785e-03 eta: 9:39:45 time: 0.4134 data_time: 0.0159 memory: 13431 grad_norm: 7.7630 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6019 loss: 1.6019 2022/08/17 11:30:07 - mmengine - INFO - Epoch(train) [234][400/3757] lr: 1.9785e-03 eta: 9:39:05 time: 0.4159 data_time: 0.0169 memory: 13431 grad_norm: 7.8427 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5165 loss: 1.5165 2022/08/17 11:30:48 - mmengine - INFO - Epoch(train) [234][500/3757] lr: 1.9785e-03 eta: 9:38:25 time: 0.4093 data_time: 0.0151 memory: 13431 grad_norm: 7.6923 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4223 loss: 1.4223 2022/08/17 11:31:29 - mmengine - INFO - Epoch(train) [234][600/3757] lr: 1.9785e-03 eta: 9:37:44 time: 0.4082 data_time: 0.0156 memory: 13431 grad_norm: 7.3677 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1268 loss: 1.1268 2022/08/17 11:31:37 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 11:32:11 - mmengine - INFO - Epoch(train) [234][700/3757] lr: 1.9785e-03 eta: 9:37:04 time: 0.4094 data_time: 0.0164 memory: 13431 grad_norm: 7.4969 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3209 loss: 1.3209 2022/08/17 11:32:52 - mmengine - INFO - Epoch(train) [234][800/3757] lr: 1.9785e-03 eta: 9:36:24 time: 0.4101 data_time: 0.0151 memory: 13431 grad_norm: 7.6017 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2724 loss: 1.2724 2022/08/17 11:33:35 - mmengine - INFO - Epoch(train) [234][900/3757] lr: 1.9785e-03 eta: 9:35:43 time: 0.4280 data_time: 0.0168 memory: 13431 grad_norm: 7.7979 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5321 loss: 1.5321 2022/08/17 11:34:16 - mmengine - INFO - Epoch(train) [234][1000/3757] lr: 1.9785e-03 eta: 9:35:03 time: 0.4173 data_time: 0.0156 memory: 13431 grad_norm: 7.7854 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0175 loss: 1.0175 2022/08/17 11:34:58 - mmengine - INFO - Epoch(train) [234][1100/3757] lr: 1.9785e-03 eta: 9:34:23 time: 0.4246 data_time: 0.0178 memory: 13431 grad_norm: 7.4864 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4528 loss: 1.4528 2022/08/17 11:35:40 - mmengine - INFO - Epoch(train) [234][1200/3757] lr: 1.9785e-03 eta: 9:33:43 time: 0.4080 data_time: 0.0158 memory: 13431 grad_norm: 7.6608 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6716 loss: 1.6716 2022/08/17 11:36:22 - mmengine - INFO - Epoch(train) [234][1300/3757] lr: 1.9785e-03 eta: 9:33:02 time: 0.4087 data_time: 0.0154 memory: 13431 grad_norm: 7.7481 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.4645 loss: 1.4645 2022/08/17 11:37:04 - mmengine - INFO - Epoch(train) [234][1400/3757] lr: 1.9785e-03 eta: 9:32:22 time: 0.4092 data_time: 0.0161 memory: 13431 grad_norm: 7.7362 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7695 loss: 1.7695 2022/08/17 11:37:45 - mmengine - INFO - Epoch(train) [234][1500/3757] lr: 1.9785e-03 eta: 9:31:42 time: 0.4113 data_time: 0.0155 memory: 13431 grad_norm: 7.5568 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7304 loss: 1.7304 2022/08/17 11:38:27 - mmengine - INFO - Epoch(train) [234][1600/3757] lr: 1.9785e-03 eta: 9:31:01 time: 0.4153 data_time: 0.0193 memory: 13431 grad_norm: 7.4363 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3242 loss: 1.3242 2022/08/17 11:38:35 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 11:39:09 - mmengine - INFO - Epoch(train) [234][1700/3757] lr: 1.9785e-03 eta: 9:30:21 time: 0.4187 data_time: 0.0162 memory: 13431 grad_norm: 7.5651 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4193 loss: 1.4193 2022/08/17 11:39:51 - mmengine - INFO - Epoch(train) [234][1800/3757] lr: 1.9785e-03 eta: 9:29:41 time: 0.4142 data_time: 0.0165 memory: 13431 grad_norm: 7.3966 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3900 loss: 1.3900 2022/08/17 11:40:32 - mmengine - INFO - Epoch(train) [234][1900/3757] lr: 1.9785e-03 eta: 9:29:01 time: 0.4080 data_time: 0.0160 memory: 13431 grad_norm: 7.6654 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6372 loss: 1.6372 2022/08/17 11:41:14 - mmengine - INFO - Epoch(train) [234][2000/3757] lr: 1.9785e-03 eta: 9:28:20 time: 0.4069 data_time: 0.0164 memory: 13431 grad_norm: 7.7222 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5990 loss: 1.5990 2022/08/17 11:41:56 - mmengine - INFO - Epoch(train) [234][2100/3757] lr: 1.9785e-03 eta: 9:27:40 time: 0.4141 data_time: 0.0164 memory: 13431 grad_norm: 7.6828 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2368 loss: 1.2368 2022/08/17 11:42:37 - mmengine - INFO - Epoch(train) [234][2200/3757] lr: 1.9785e-03 eta: 9:27:00 time: 0.4129 data_time: 0.0173 memory: 13431 grad_norm: 7.6638 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.4202 loss: 1.4202 2022/08/17 11:43:19 - mmengine - INFO - Epoch(train) [234][2300/3757] lr: 1.9785e-03 eta: 9:26:19 time: 0.4159 data_time: 0.0162 memory: 13431 grad_norm: 8.0320 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2935 loss: 1.2935 2022/08/17 11:44:01 - mmengine - INFO - Epoch(train) [234][2400/3757] lr: 1.9785e-03 eta: 9:25:39 time: 0.4186 data_time: 0.0153 memory: 13431 grad_norm: 7.4315 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4018 loss: 1.4018 2022/08/17 11:44:42 - mmengine - INFO - Epoch(train) [234][2500/3757] lr: 1.9785e-03 eta: 9:24:59 time: 0.4087 data_time: 0.0170 memory: 13431 grad_norm: 7.7421 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4410 loss: 1.4410 2022/08/17 11:45:24 - mmengine - INFO - Epoch(train) [234][2600/3757] lr: 1.9785e-03 eta: 9:24:18 time: 0.4102 data_time: 0.0156 memory: 13431 grad_norm: 7.7362 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2703 loss: 1.2703 2022/08/17 11:45:32 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 11:46:06 - mmengine - INFO - Epoch(train) [234][2700/3757] lr: 1.9785e-03 eta: 9:23:38 time: 0.4177 data_time: 0.0157 memory: 13431 grad_norm: 7.7569 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5057 loss: 1.5057 2022/08/17 11:46:47 - mmengine - INFO - Epoch(train) [234][2800/3757] lr: 1.9785e-03 eta: 9:22:58 time: 0.4138 data_time: 0.0155 memory: 13431 grad_norm: 7.6206 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2847 loss: 1.2847 2022/08/17 11:47:29 - mmengine - INFO - Epoch(train) [234][2900/3757] lr: 1.9785e-03 eta: 9:22:18 time: 0.4138 data_time: 0.0168 memory: 13431 grad_norm: 7.8015 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4208 loss: 1.4208 2022/08/17 11:48:10 - mmengine - INFO - Epoch(train) [234][3000/3757] lr: 1.9785e-03 eta: 9:21:37 time: 0.4186 data_time: 0.0182 memory: 13431 grad_norm: 7.8449 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4103 loss: 1.4103 2022/08/17 11:48:52 - mmengine - INFO - Epoch(train) [234][3100/3757] lr: 1.9785e-03 eta: 9:20:57 time: 0.4082 data_time: 0.0149 memory: 13431 grad_norm: 7.0868 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9995 loss: 0.9995 2022/08/17 11:49:34 - mmengine - INFO - Epoch(train) [234][3200/3757] lr: 1.9785e-03 eta: 9:20:17 time: 0.4124 data_time: 0.0169 memory: 13431 grad_norm: 7.6571 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4850 loss: 1.4850 2022/08/17 11:50:15 - mmengine - INFO - Epoch(train) [234][3300/3757] lr: 1.9785e-03 eta: 9:19:36 time: 0.4085 data_time: 0.0166 memory: 13431 grad_norm: 7.3289 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7725 loss: 1.7725 2022/08/17 11:50:57 - mmengine - INFO - Epoch(train) [234][3400/3757] lr: 1.9785e-03 eta: 9:18:56 time: 0.4138 data_time: 0.0170 memory: 13431 grad_norm: 7.5565 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.4508 loss: 1.4508 2022/08/17 11:51:38 - mmengine - INFO - Epoch(train) [234][3500/3757] lr: 1.9785e-03 eta: 9:18:16 time: 0.4105 data_time: 0.0160 memory: 13431 grad_norm: 7.2890 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2586 loss: 1.2586 2022/08/17 11:52:20 - mmengine - INFO - Epoch(train) [234][3600/3757] lr: 1.9785e-03 eta: 9:17:35 time: 0.4149 data_time: 0.0170 memory: 13431 grad_norm: 7.4055 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4252 loss: 1.4252 2022/08/17 11:52:28 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 11:53:01 - mmengine - INFO - Epoch(train) [234][3700/3757] lr: 1.9785e-03 eta: 9:16:55 time: 0.4089 data_time: 0.0152 memory: 13431 grad_norm: 7.9963 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5181 loss: 1.5181 2022/08/17 11:53:25 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 11:53:25 - mmengine - INFO - Epoch(train) [234][3757/3757] lr: 1.9785e-03 eta: 9:16:39 time: 0.3967 data_time: 0.0146 memory: 13431 grad_norm: 7.9072 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.3559 loss: 1.3559 2022/08/17 11:54:08 - mmengine - INFO - Epoch(train) [235][100/3757] lr: 1.8112e-03 eta: 9:15:51 time: 0.4176 data_time: 0.0155 memory: 13431 grad_norm: 7.7266 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4723 loss: 1.4723 2022/08/17 11:54:50 - mmengine - INFO - Epoch(train) [235][200/3757] lr: 1.8112e-03 eta: 9:15:11 time: 0.4107 data_time: 0.0160 memory: 13431 grad_norm: 7.7029 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4092 loss: 1.4092 2022/08/17 11:55:32 - mmengine - INFO - Epoch(train) [235][300/3757] lr: 1.8112e-03 eta: 9:14:31 time: 0.4126 data_time: 0.0169 memory: 13431 grad_norm: 7.8360 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3747 loss: 1.3747 2022/08/17 11:56:14 - mmengine - INFO - Epoch(train) [235][400/3757] lr: 1.8112e-03 eta: 9:13:50 time: 0.4115 data_time: 0.0153 memory: 13431 grad_norm: 7.7262 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6296 loss: 1.6296 2022/08/17 11:56:55 - mmengine - INFO - Epoch(train) [235][500/3757] lr: 1.8112e-03 eta: 9:13:10 time: 0.4095 data_time: 0.0159 memory: 13431 grad_norm: 7.5652 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2051 loss: 1.2051 2022/08/17 11:57:37 - mmengine - INFO - Epoch(train) [235][600/3757] lr: 1.8112e-03 eta: 9:12:30 time: 0.4100 data_time: 0.0160 memory: 13431 grad_norm: 7.7024 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.4003 loss: 1.4003 2022/08/17 11:58:18 - mmengine - INFO - Epoch(train) [235][700/3757] lr: 1.8112e-03 eta: 9:11:50 time: 0.4115 data_time: 0.0173 memory: 13431 grad_norm: 7.6200 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2580 loss: 1.2580 2022/08/17 11:59:00 - mmengine - INFO - Epoch(train) [235][800/3757] lr: 1.8112e-03 eta: 9:11:09 time: 0.4165 data_time: 0.0173 memory: 13431 grad_norm: 7.7155 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5798 loss: 1.5798 2022/08/17 11:59:26 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 11:59:42 - mmengine - INFO - Epoch(train) [235][900/3757] lr: 1.8112e-03 eta: 9:10:29 time: 0.4142 data_time: 0.0162 memory: 13431 grad_norm: 7.8557 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2926 loss: 1.2926 2022/08/17 12:00:27 - mmengine - INFO - Epoch(train) [235][1000/3757] lr: 1.8112e-03 eta: 9:09:49 time: 0.4125 data_time: 0.0157 memory: 13431 grad_norm: 7.7943 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1193 loss: 1.1193 2022/08/17 12:01:08 - mmengine - INFO - Epoch(train) [235][1100/3757] lr: 1.8112e-03 eta: 9:09:09 time: 0.4090 data_time: 0.0155 memory: 13431 grad_norm: 7.7743 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4324 loss: 1.4324 2022/08/17 12:01:50 - mmengine - INFO - Epoch(train) [235][1200/3757] lr: 1.8112e-03 eta: 9:08:28 time: 0.4117 data_time: 0.0159 memory: 13431 grad_norm: 7.7964 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6456 loss: 1.6456 2022/08/17 12:02:31 - mmengine - INFO - Epoch(train) [235][1300/3757] lr: 1.8112e-03 eta: 9:07:48 time: 0.4097 data_time: 0.0157 memory: 13431 grad_norm: 7.4107 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2567 loss: 1.2567 2022/08/17 12:03:12 - mmengine - INFO - Epoch(train) [235][1400/3757] lr: 1.8112e-03 eta: 9:07:08 time: 0.4086 data_time: 0.0178 memory: 13431 grad_norm: 7.8606 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4140 loss: 1.4140 2022/08/17 12:03:54 - mmengine - INFO - Epoch(train) [235][1500/3757] lr: 1.8112e-03 eta: 9:06:27 time: 0.4174 data_time: 0.0167 memory: 13431 grad_norm: 8.0149 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3871 loss: 1.3871 2022/08/17 12:04:35 - mmengine - INFO - Epoch(train) [235][1600/3757] lr: 1.8112e-03 eta: 9:05:47 time: 0.4089 data_time: 0.0161 memory: 13431 grad_norm: 7.7989 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4158 loss: 1.4158 2022/08/17 12:05:17 - mmengine - INFO - Epoch(train) [235][1700/3757] lr: 1.8112e-03 eta: 9:05:07 time: 0.4101 data_time: 0.0155 memory: 13431 grad_norm: 8.0125 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5923 loss: 1.5923 2022/08/17 12:05:58 - mmengine - INFO - Epoch(train) [235][1800/3757] lr: 1.8112e-03 eta: 9:04:26 time: 0.4137 data_time: 0.0167 memory: 13431 grad_norm: 7.6424 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3875 loss: 1.3875 2022/08/17 12:06:24 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 12:06:40 - mmengine - INFO - Epoch(train) [235][1900/3757] lr: 1.8112e-03 eta: 9:03:46 time: 0.4111 data_time: 0.0171 memory: 13431 grad_norm: 8.0924 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2770 loss: 1.2770 2022/08/17 12:07:21 - mmengine - INFO - Epoch(train) [235][2000/3757] lr: 1.8112e-03 eta: 9:03:06 time: 0.4108 data_time: 0.0158 memory: 13431 grad_norm: 7.6614 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4903 loss: 1.4903 2022/08/17 12:08:03 - mmengine - INFO - Epoch(train) [235][2100/3757] lr: 1.8112e-03 eta: 9:02:25 time: 0.4094 data_time: 0.0158 memory: 13431 grad_norm: 7.5712 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3103 loss: 1.3103 2022/08/17 12:08:44 - mmengine - INFO - Epoch(train) [235][2200/3757] lr: 1.8112e-03 eta: 9:01:45 time: 0.4085 data_time: 0.0172 memory: 13431 grad_norm: 7.6535 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1724 loss: 1.1724 2022/08/17 12:09:26 - mmengine - INFO - Epoch(train) [235][2300/3757] lr: 1.8112e-03 eta: 9:01:05 time: 0.4106 data_time: 0.0163 memory: 13431 grad_norm: 7.7672 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1380 loss: 1.1380 2022/08/17 12:10:07 - mmengine - INFO - Epoch(train) [235][2400/3757] lr: 1.8112e-03 eta: 9:00:24 time: 0.4131 data_time: 0.0162 memory: 13431 grad_norm: 7.7246 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5360 loss: 1.5360 2022/08/17 12:10:49 - mmengine - INFO - Epoch(train) [235][2500/3757] lr: 1.8112e-03 eta: 8:59:44 time: 0.4127 data_time: 0.0159 memory: 13431 grad_norm: 7.9656 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2458 loss: 1.2458 2022/08/17 12:11:30 - mmengine - INFO - Epoch(train) [235][2600/3757] lr: 1.8112e-03 eta: 8:59:04 time: 0.4123 data_time: 0.0152 memory: 13431 grad_norm: 7.9001 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4956 loss: 1.4956 2022/08/17 12:12:12 - mmengine - INFO - Epoch(train) [235][2700/3757] lr: 1.8112e-03 eta: 8:58:23 time: 0.4219 data_time: 0.0175 memory: 13431 grad_norm: 7.6892 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6106 loss: 1.6106 2022/08/17 12:12:54 - mmengine - INFO - Epoch(train) [235][2800/3757] lr: 1.8112e-03 eta: 8:57:43 time: 0.4141 data_time: 0.0166 memory: 13431 grad_norm: 7.6456 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4040 loss: 1.4040 2022/08/17 12:13:19 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 12:13:35 - mmengine - INFO - Epoch(train) [235][2900/3757] lr: 1.8112e-03 eta: 8:57:03 time: 0.4112 data_time: 0.0158 memory: 13431 grad_norm: 7.4140 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4454 loss: 1.4454 2022/08/17 12:14:17 - mmengine - INFO - Epoch(train) [235][3000/3757] lr: 1.8112e-03 eta: 8:56:22 time: 0.4083 data_time: 0.0154 memory: 13431 grad_norm: 7.9144 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3361 loss: 1.3361 2022/08/17 12:14:58 - mmengine - INFO - Epoch(train) [235][3100/3757] lr: 1.8112e-03 eta: 8:55:42 time: 0.4075 data_time: 0.0170 memory: 13431 grad_norm: 7.8208 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2692 loss: 1.2692 2022/08/17 12:15:40 - mmengine - INFO - Epoch(train) [235][3200/3757] lr: 1.8112e-03 eta: 8:55:02 time: 0.4105 data_time: 0.0170 memory: 13431 grad_norm: 8.0176 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4858 loss: 1.4858 2022/08/17 12:16:21 - mmengine - INFO - Epoch(train) [235][3300/3757] lr: 1.8112e-03 eta: 8:54:21 time: 0.4131 data_time: 0.0165 memory: 13431 grad_norm: 7.8979 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4769 loss: 1.4769 2022/08/17 12:17:03 - mmengine - INFO - Epoch(train) [235][3400/3757] lr: 1.8112e-03 eta: 8:53:41 time: 0.4189 data_time: 0.0159 memory: 13431 grad_norm: 8.0687 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3414 loss: 1.3414 2022/08/17 12:17:44 - mmengine - INFO - Epoch(train) [235][3500/3757] lr: 1.8112e-03 eta: 8:53:01 time: 0.4133 data_time: 0.0153 memory: 13431 grad_norm: 7.7407 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3658 loss: 1.3658 2022/08/17 12:18:25 - mmengine - INFO - Epoch(train) [235][3600/3757] lr: 1.8112e-03 eta: 8:52:20 time: 0.4158 data_time: 0.0165 memory: 13431 grad_norm: 7.8924 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4819 loss: 1.4819 2022/08/17 12:19:07 - mmengine - INFO - Epoch(train) [235][3700/3757] lr: 1.8112e-03 eta: 8:51:40 time: 0.4128 data_time: 0.0158 memory: 13431 grad_norm: 7.8027 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4975 loss: 1.4975 2022/08/17 12:19:30 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 12:19:30 - mmengine - INFO - Epoch(train) [235][3757/3757] lr: 1.8112e-03 eta: 8:51:24 time: 0.4016 data_time: 0.0153 memory: 13431 grad_norm: 7.8336 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4744 loss: 1.4744 2022/08/17 12:19:53 - mmengine - INFO - Epoch(val) [235][100/310] eta: 0:00:46 time: 0.2209 data_time: 0.0905 memory: 1974 2022/08/17 12:20:14 - mmengine - INFO - Epoch(val) [235][200/310] eta: 0:00:21 time: 0.1911 data_time: 0.0639 memory: 1974 2022/08/17 12:20:36 - mmengine - INFO - Epoch(val) [235][300/310] eta: 0:00:02 time: 0.2023 data_time: 0.0743 memory: 1974 2022/08/17 12:20:40 - mmengine - INFO - Epoch(val) [235][310/310] acc/top1: 0.6912 acc/top5: 0.8833 acc/mean1: 0.6911 2022/08/17 12:20:41 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_231.pth is removed 2022/08/17 12:20:45 - mmengine - INFO - The best checkpoint with 0.6912 acc/top1 at 236 epoch is saved to best_acc/top1_epoch_236.pth. 2022/08/17 12:21:28 - mmengine - INFO - Epoch(train) [236][100/3757] lr: 1.6512e-03 eta: 8:50:36 time: 0.4093 data_time: 0.0154 memory: 13431 grad_norm: 7.7161 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2524 loss: 1.2524 2022/08/17 12:21:30 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 12:22:09 - mmengine - INFO - Epoch(train) [236][200/3757] lr: 1.6512e-03 eta: 8:49:56 time: 0.4132 data_time: 0.0167 memory: 13431 grad_norm: 7.9562 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6539 loss: 1.6539 2022/08/17 12:22:51 - mmengine - INFO - Epoch(train) [236][300/3757] lr: 1.6512e-03 eta: 8:49:16 time: 0.4116 data_time: 0.0167 memory: 13431 grad_norm: 7.6363 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2879 loss: 1.2879 2022/08/17 12:23:32 - mmengine - INFO - Epoch(train) [236][400/3757] lr: 1.6512e-03 eta: 8:48:35 time: 0.4094 data_time: 0.0185 memory: 13431 grad_norm: 7.8791 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2489 loss: 1.2489 2022/08/17 12:24:14 - mmengine - INFO - Epoch(train) [236][500/3757] lr: 1.6512e-03 eta: 8:47:55 time: 0.4174 data_time: 0.0156 memory: 13431 grad_norm: 7.7619 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1977 loss: 1.1977 2022/08/17 12:24:55 - mmengine - INFO - Epoch(train) [236][600/3757] lr: 1.6512e-03 eta: 8:47:15 time: 0.4078 data_time: 0.0153 memory: 13431 grad_norm: 7.9665 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3753 loss: 1.3753 2022/08/17 12:25:37 - mmengine - INFO - Epoch(train) [236][700/3757] lr: 1.6512e-03 eta: 8:46:34 time: 0.4162 data_time: 0.0170 memory: 13431 grad_norm: 7.9019 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0726 loss: 1.0726 2022/08/17 12:26:18 - mmengine - INFO - Epoch(train) [236][800/3757] lr: 1.6512e-03 eta: 8:45:54 time: 0.4095 data_time: 0.0162 memory: 13431 grad_norm: 8.2322 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3785 loss: 1.3785 2022/08/17 12:27:00 - mmengine - INFO - Epoch(train) [236][900/3757] lr: 1.6512e-03 eta: 8:45:14 time: 0.4094 data_time: 0.0160 memory: 13431 grad_norm: 7.9899 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4241 loss: 1.4241 2022/08/17 12:27:42 - mmengine - INFO - Epoch(train) [236][1000/3757] lr: 1.6512e-03 eta: 8:44:33 time: 0.4164 data_time: 0.0148 memory: 13431 grad_norm: 7.7522 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3229 loss: 1.3229 2022/08/17 12:28:23 - mmengine - INFO - Epoch(train) [236][1100/3757] lr: 1.6512e-03 eta: 8:43:53 time: 0.4122 data_time: 0.0165 memory: 13431 grad_norm: 7.7604 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3223 loss: 1.3223 2022/08/17 12:28:25 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 12:29:05 - mmengine - INFO - Epoch(train) [236][1200/3757] lr: 1.6512e-03 eta: 8:43:13 time: 0.4162 data_time: 0.0191 memory: 13431 grad_norm: 7.7038 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2030 loss: 1.2030 2022/08/17 12:29:47 - mmengine - INFO - Epoch(train) [236][1300/3757] lr: 1.6512e-03 eta: 8:42:32 time: 0.4117 data_time: 0.0150 memory: 13431 grad_norm: 8.0167 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2500 loss: 1.2500 2022/08/17 12:30:28 - mmengine - INFO - Epoch(train) [236][1400/3757] lr: 1.6512e-03 eta: 8:41:52 time: 0.4177 data_time: 0.0174 memory: 13431 grad_norm: 7.4516 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4178 loss: 1.4178 2022/08/17 12:31:10 - mmengine - INFO - Epoch(train) [236][1500/3757] lr: 1.6512e-03 eta: 8:41:12 time: 0.4115 data_time: 0.0179 memory: 13431 grad_norm: 7.9946 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3873 loss: 1.3873 2022/08/17 12:31:52 - mmengine - INFO - Epoch(train) [236][1600/3757] lr: 1.6512e-03 eta: 8:40:32 time: 0.4120 data_time: 0.0169 memory: 13431 grad_norm: 7.9044 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3283 loss: 1.3283 2022/08/17 12:32:34 - mmengine - INFO - Epoch(train) [236][1700/3757] lr: 1.6512e-03 eta: 8:39:51 time: 0.4124 data_time: 0.0156 memory: 13431 grad_norm: 8.1145 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3815 loss: 1.3815 2022/08/17 12:33:16 - mmengine - INFO - Epoch(train) [236][1800/3757] lr: 1.6512e-03 eta: 8:39:11 time: 0.4218 data_time: 0.0162 memory: 13431 grad_norm: 7.5552 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3391 loss: 1.3391 2022/08/17 12:33:58 - mmengine - INFO - Epoch(train) [236][1900/3757] lr: 1.6512e-03 eta: 8:38:31 time: 0.4145 data_time: 0.0182 memory: 13431 grad_norm: 7.7863 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3742 loss: 1.3742 2022/08/17 12:34:39 - mmengine - INFO - Epoch(train) [236][2000/3757] lr: 1.6512e-03 eta: 8:37:50 time: 0.4112 data_time: 0.0173 memory: 13431 grad_norm: 7.9548 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2002 loss: 1.2002 2022/08/17 12:35:21 - mmengine - INFO - Epoch(train) [236][2100/3757] lr: 1.6512e-03 eta: 8:37:10 time: 0.4162 data_time: 0.0183 memory: 13431 grad_norm: 8.1305 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1489 loss: 1.1489 2022/08/17 12:35:23 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 12:36:03 - mmengine - INFO - Epoch(train) [236][2200/3757] lr: 1.6512e-03 eta: 8:36:30 time: 0.4090 data_time: 0.0160 memory: 13431 grad_norm: 7.6918 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2838 loss: 1.2838 2022/08/17 12:36:45 - mmengine - INFO - Epoch(train) [236][2300/3757] lr: 1.6512e-03 eta: 8:35:49 time: 0.4169 data_time: 0.0171 memory: 13431 grad_norm: 7.6638 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2345 loss: 1.2345 2022/08/17 12:37:26 - mmengine - INFO - Epoch(train) [236][2400/3757] lr: 1.6512e-03 eta: 8:35:09 time: 0.4189 data_time: 0.0157 memory: 13431 grad_norm: 8.0256 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5134 loss: 1.5134 2022/08/17 12:38:08 - mmengine - INFO - Epoch(train) [236][2500/3757] lr: 1.6512e-03 eta: 8:34:29 time: 0.4165 data_time: 0.0154 memory: 13431 grad_norm: 7.8318 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3431 loss: 1.3431 2022/08/17 12:38:50 - mmengine - INFO - Epoch(train) [236][2600/3757] lr: 1.6512e-03 eta: 8:33:49 time: 0.4103 data_time: 0.0161 memory: 13431 grad_norm: 7.9859 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2810 loss: 1.2810 2022/08/17 12:39:32 - mmengine - INFO - Epoch(train) [236][2700/3757] lr: 1.6512e-03 eta: 8:33:08 time: 0.4232 data_time: 0.0175 memory: 13431 grad_norm: 7.7627 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1371 loss: 1.1371 2022/08/17 12:40:14 - mmengine - INFO - Epoch(train) [236][2800/3757] lr: 1.6512e-03 eta: 8:32:28 time: 0.4196 data_time: 0.0160 memory: 13431 grad_norm: 8.2622 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4649 loss: 1.4649 2022/08/17 12:40:56 - mmengine - INFO - Epoch(train) [236][2900/3757] lr: 1.6512e-03 eta: 8:31:48 time: 0.4087 data_time: 0.0168 memory: 13431 grad_norm: 7.8377 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3295 loss: 1.3295 2022/08/17 12:41:37 - mmengine - INFO - Epoch(train) [236][3000/3757] lr: 1.6512e-03 eta: 8:31:07 time: 0.4129 data_time: 0.0192 memory: 13431 grad_norm: 7.8583 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4766 loss: 1.4766 2022/08/17 12:42:19 - mmengine - INFO - Epoch(train) [236][3100/3757] lr: 1.6512e-03 eta: 8:30:27 time: 0.4109 data_time: 0.0154 memory: 13431 grad_norm: 7.8495 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4146 loss: 1.4146 2022/08/17 12:42:21 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 12:43:01 - mmengine - INFO - Epoch(train) [236][3200/3757] lr: 1.6512e-03 eta: 8:29:47 time: 0.4126 data_time: 0.0154 memory: 13431 grad_norm: 7.8536 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3802 loss: 1.3802 2022/08/17 12:43:42 - mmengine - INFO - Epoch(train) [236][3300/3757] lr: 1.6512e-03 eta: 8:29:06 time: 0.4135 data_time: 0.0164 memory: 13431 grad_norm: 7.9408 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5528 loss: 1.5528 2022/08/17 12:44:24 - mmengine - INFO - Epoch(train) [236][3400/3757] lr: 1.6512e-03 eta: 8:28:26 time: 0.4132 data_time: 0.0173 memory: 13431 grad_norm: 8.1874 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2600 loss: 1.2600 2022/08/17 12:45:06 - mmengine - INFO - Epoch(train) [236][3500/3757] lr: 1.6512e-03 eta: 8:27:46 time: 0.4211 data_time: 0.0161 memory: 13431 grad_norm: 8.2918 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3487 loss: 1.3487 2022/08/17 12:45:47 - mmengine - INFO - Epoch(train) [236][3600/3757] lr: 1.6512e-03 eta: 8:27:05 time: 0.4076 data_time: 0.0159 memory: 13431 grad_norm: 7.8357 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2122 loss: 1.2122 2022/08/17 12:46:29 - mmengine - INFO - Epoch(train) [236][3700/3757] lr: 1.6512e-03 eta: 8:26:25 time: 0.4124 data_time: 0.0193 memory: 13431 grad_norm: 8.1472 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6075 loss: 1.6075 2022/08/17 12:46:52 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 12:46:52 - mmengine - INFO - Epoch(train) [236][3757/3757] lr: 1.6512e-03 eta: 8:26:09 time: 0.3985 data_time: 0.0144 memory: 13431 grad_norm: 8.1156 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.3893 loss: 1.3893 2022/08/17 12:46:53 - mmengine - INFO - Saving checkpoint at 236 epochs 2022/08/17 12:47:42 - mmengine - INFO - Epoch(train) [237][100/3757] lr: 1.4984e-03 eta: 8:25:21 time: 0.4129 data_time: 0.0161 memory: 13431 grad_norm: 7.8939 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5196 loss: 1.5196 2022/08/17 12:48:24 - mmengine - INFO - Epoch(train) [237][200/3757] lr: 1.4984e-03 eta: 8:24:41 time: 0.4209 data_time: 0.0190 memory: 13431 grad_norm: 7.6436 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1498 loss: 1.1498 2022/08/17 12:49:06 - mmengine - INFO - Epoch(train) [237][300/3757] lr: 1.4984e-03 eta: 8:24:01 time: 0.4182 data_time: 0.0172 memory: 13431 grad_norm: 7.7450 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0237 loss: 1.0237 2022/08/17 12:49:26 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 12:49:48 - mmengine - INFO - Epoch(train) [237][400/3757] lr: 1.4984e-03 eta: 8:23:20 time: 0.4291 data_time: 0.0159 memory: 13431 grad_norm: 7.8443 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3845 loss: 1.3845 2022/08/17 12:50:30 - mmengine - INFO - Epoch(train) [237][500/3757] lr: 1.4984e-03 eta: 8:22:40 time: 0.4104 data_time: 0.0159 memory: 13431 grad_norm: 7.7696 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4344 loss: 1.4344 2022/08/17 12:51:12 - mmengine - INFO - Epoch(train) [237][600/3757] lr: 1.4984e-03 eta: 8:22:00 time: 0.4173 data_time: 0.0158 memory: 13431 grad_norm: 7.8413 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3396 loss: 1.3396 2022/08/17 12:51:55 - mmengine - INFO - Epoch(train) [237][700/3757] lr: 1.4984e-03 eta: 8:21:20 time: 0.4492 data_time: 0.0203 memory: 13431 grad_norm: 7.9387 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3256 loss: 1.3256 2022/08/17 12:52:36 - mmengine - INFO - Epoch(train) [237][800/3757] lr: 1.4984e-03 eta: 8:20:39 time: 0.4139 data_time: 0.0162 memory: 13431 grad_norm: 7.6700 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.4178 loss: 1.4178 2022/08/17 12:53:18 - mmengine - INFO - Epoch(train) [237][900/3757] lr: 1.4984e-03 eta: 8:19:59 time: 0.4345 data_time: 0.0175 memory: 13431 grad_norm: 7.9991 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4152 loss: 1.4152 2022/08/17 12:54:01 - mmengine - INFO - Epoch(train) [237][1000/3757] lr: 1.4984e-03 eta: 8:19:19 time: 0.4104 data_time: 0.0158 memory: 13431 grad_norm: 8.2893 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5072 loss: 1.5072 2022/08/17 12:54:43 - mmengine - INFO - Epoch(train) [237][1100/3757] lr: 1.4984e-03 eta: 8:18:38 time: 0.4107 data_time: 0.0158 memory: 13431 grad_norm: 7.6317 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2706 loss: 1.2706 2022/08/17 12:55:24 - mmengine - INFO - Epoch(train) [237][1200/3757] lr: 1.4984e-03 eta: 8:17:58 time: 0.4123 data_time: 0.0175 memory: 13431 grad_norm: 8.0151 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4498 loss: 1.4498 2022/08/17 12:56:06 - mmengine - INFO - Epoch(train) [237][1300/3757] lr: 1.4984e-03 eta: 8:17:18 time: 0.4145 data_time: 0.0174 memory: 13431 grad_norm: 8.4856 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2168 loss: 1.2168 2022/08/17 12:56:26 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 12:56:48 - mmengine - INFO - Epoch(train) [237][1400/3757] lr: 1.4984e-03 eta: 8:16:37 time: 0.4186 data_time: 0.0167 memory: 13431 grad_norm: 7.9680 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4024 loss: 1.4024 2022/08/17 12:57:30 - mmengine - INFO - Epoch(train) [237][1500/3757] lr: 1.4984e-03 eta: 8:15:57 time: 0.4209 data_time: 0.0165 memory: 13431 grad_norm: 7.9954 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2301 loss: 1.2301 2022/08/17 12:58:11 - mmengine - INFO - Epoch(train) [237][1600/3757] lr: 1.4984e-03 eta: 8:15:17 time: 0.4145 data_time: 0.0158 memory: 13431 grad_norm: 7.7756 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2860 loss: 1.2860 2022/08/17 12:58:53 - mmengine - INFO - Epoch(train) [237][1700/3757] lr: 1.4984e-03 eta: 8:14:36 time: 0.4132 data_time: 0.0157 memory: 13431 grad_norm: 8.0225 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3097 loss: 1.3097 2022/08/17 12:59:35 - mmengine - INFO - Epoch(train) [237][1800/3757] lr: 1.4984e-03 eta: 8:13:56 time: 0.4080 data_time: 0.0158 memory: 13431 grad_norm: 8.3958 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4237 loss: 1.4237 2022/08/17 13:00:16 - mmengine - INFO - Epoch(train) [237][1900/3757] lr: 1.4984e-03 eta: 8:13:16 time: 0.4082 data_time: 0.0163 memory: 13431 grad_norm: 7.9460 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1180 loss: 1.1180 2022/08/17 13:00:58 - mmengine - INFO - Epoch(train) [237][2000/3757] lr: 1.4984e-03 eta: 8:12:35 time: 0.4116 data_time: 0.0165 memory: 13431 grad_norm: 7.8871 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1996 loss: 1.1996 2022/08/17 13:01:40 - mmengine - INFO - Epoch(train) [237][2100/3757] lr: 1.4984e-03 eta: 8:11:55 time: 0.4143 data_time: 0.0170 memory: 13431 grad_norm: 7.9360 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3193 loss: 1.3193 2022/08/17 13:02:21 - mmengine - INFO - Epoch(train) [237][2200/3757] lr: 1.4984e-03 eta: 8:11:15 time: 0.4089 data_time: 0.0163 memory: 13431 grad_norm: 7.9405 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.1206 loss: 1.1206 2022/08/17 13:03:03 - mmengine - INFO - Epoch(train) [237][2300/3757] lr: 1.4984e-03 eta: 8:10:35 time: 0.4168 data_time: 0.0174 memory: 13431 grad_norm: 7.8843 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4366 loss: 1.4366 2022/08/17 13:03:23 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 13:03:45 - mmengine - INFO - Epoch(train) [237][2400/3757] lr: 1.4984e-03 eta: 8:09:54 time: 0.4140 data_time: 0.0185 memory: 13431 grad_norm: 8.1844 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1915 loss: 1.1915 2022/08/17 13:04:26 - mmengine - INFO - Epoch(train) [237][2500/3757] lr: 1.4984e-03 eta: 8:09:14 time: 0.4128 data_time: 0.0160 memory: 13431 grad_norm: 7.9616 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5010 loss: 1.5010 2022/08/17 13:05:08 - mmengine - INFO - Epoch(train) [237][2600/3757] lr: 1.4984e-03 eta: 8:08:34 time: 0.4162 data_time: 0.0167 memory: 13431 grad_norm: 7.6148 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5977 loss: 1.5977 2022/08/17 13:05:50 - mmengine - INFO - Epoch(train) [237][2700/3757] lr: 1.4984e-03 eta: 8:07:53 time: 0.4283 data_time: 0.0187 memory: 13431 grad_norm: 7.5320 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0070 loss: 1.0070 2022/08/17 13:06:32 - mmengine - INFO - Epoch(train) [237][2800/3757] lr: 1.4984e-03 eta: 8:07:13 time: 0.4140 data_time: 0.0153 memory: 13431 grad_norm: 8.0423 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4951 loss: 1.4951 2022/08/17 13:07:14 - mmengine - INFO - Epoch(train) [237][2900/3757] lr: 1.4984e-03 eta: 8:06:33 time: 0.4129 data_time: 0.0165 memory: 13431 grad_norm: 8.0853 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4815 loss: 1.4815 2022/08/17 13:07:56 - mmengine - INFO - Epoch(train) [237][3000/3757] lr: 1.4984e-03 eta: 8:05:52 time: 0.4145 data_time: 0.0159 memory: 13431 grad_norm: 7.8186 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3650 loss: 1.3650 2022/08/17 13:08:38 - mmengine - INFO - Epoch(train) [237][3100/3757] lr: 1.4984e-03 eta: 8:05:12 time: 0.4119 data_time: 0.0178 memory: 13431 grad_norm: 7.7772 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2540 loss: 1.2540 2022/08/17 13:09:20 - mmengine - INFO - Epoch(train) [237][3200/3757] lr: 1.4984e-03 eta: 8:04:32 time: 0.4098 data_time: 0.0156 memory: 13431 grad_norm: 8.2496 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1955 loss: 1.1955 2022/08/17 13:10:01 - mmengine - INFO - Epoch(train) [237][3300/3757] lr: 1.4984e-03 eta: 8:03:51 time: 0.4103 data_time: 0.0162 memory: 13431 grad_norm: 8.0701 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5807 loss: 1.5807 2022/08/17 13:10:21 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 13:10:43 - mmengine - INFO - Epoch(train) [237][3400/3757] lr: 1.4984e-03 eta: 8:03:11 time: 0.4083 data_time: 0.0165 memory: 13431 grad_norm: 8.0654 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2940 loss: 1.2940 2022/08/17 13:11:25 - mmengine - INFO - Epoch(train) [237][3500/3757] lr: 1.4984e-03 eta: 8:02:31 time: 0.4139 data_time: 0.0159 memory: 13431 grad_norm: 8.1204 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2199 loss: 1.2199 2022/08/17 13:12:07 - mmengine - INFO - Epoch(train) [237][3600/3757] lr: 1.4984e-03 eta: 8:01:50 time: 0.4114 data_time: 0.0163 memory: 13431 grad_norm: 7.7336 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3696 loss: 1.3696 2022/08/17 13:12:48 - mmengine - INFO - Epoch(train) [237][3700/3757] lr: 1.4984e-03 eta: 8:01:10 time: 0.4137 data_time: 0.0160 memory: 13431 grad_norm: 7.9552 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3044 loss: 1.3044 2022/08/17 13:13:12 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 13:13:12 - mmengine - INFO - Epoch(train) [237][3757/3757] lr: 1.4984e-03 eta: 8:00:54 time: 0.3992 data_time: 0.0145 memory: 13431 grad_norm: 8.1792 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 1.2270 loss: 1.2270 2022/08/17 13:13:56 - mmengine - INFO - Epoch(train) [238][100/3757] lr: 1.3530e-03 eta: 8:00:06 time: 0.4121 data_time: 0.0174 memory: 13431 grad_norm: 8.0789 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4288 loss: 1.4288 2022/08/17 13:14:38 - mmengine - INFO - Epoch(train) [238][200/3757] lr: 1.3530e-03 eta: 7:59:26 time: 0.4199 data_time: 0.0169 memory: 13431 grad_norm: 8.0745 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3149 loss: 1.3149 2022/08/17 13:15:20 - mmengine - INFO - Epoch(train) [238][300/3757] lr: 1.3530e-03 eta: 7:58:46 time: 0.4291 data_time: 0.0187 memory: 13431 grad_norm: 7.8204 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3274 loss: 1.3274 2022/08/17 13:16:01 - mmengine - INFO - Epoch(train) [238][400/3757] lr: 1.3530e-03 eta: 7:58:05 time: 0.4189 data_time: 0.0158 memory: 13431 grad_norm: 7.9220 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2525 loss: 1.2525 2022/08/17 13:16:43 - mmengine - INFO - Epoch(train) [238][500/3757] lr: 1.3530e-03 eta: 7:57:25 time: 0.4100 data_time: 0.0156 memory: 13431 grad_norm: 8.2285 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4383 loss: 1.4383 2022/08/17 13:17:21 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 13:17:25 - mmengine - INFO - Epoch(train) [238][600/3757] lr: 1.3530e-03 eta: 7:56:45 time: 0.4084 data_time: 0.0157 memory: 13431 grad_norm: 8.0375 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2446 loss: 1.2446 2022/08/17 13:18:07 - mmengine - INFO - Epoch(train) [238][700/3757] lr: 1.3530e-03 eta: 7:56:04 time: 0.4167 data_time: 0.0192 memory: 13431 grad_norm: 7.8180 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4506 loss: 1.4506 2022/08/17 13:18:48 - mmengine - INFO - Epoch(train) [238][800/3757] lr: 1.3530e-03 eta: 7:55:24 time: 0.4202 data_time: 0.0183 memory: 13431 grad_norm: 8.3487 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3979 loss: 1.3979 2022/08/17 13:19:30 - mmengine - INFO - Epoch(train) [238][900/3757] lr: 1.3530e-03 eta: 7:54:44 time: 0.4189 data_time: 0.0169 memory: 13431 grad_norm: 8.6898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4448 loss: 1.4448 2022/08/17 13:20:12 - mmengine - INFO - Epoch(train) [238][1000/3757] lr: 1.3530e-03 eta: 7:54:03 time: 0.4207 data_time: 0.0182 memory: 13431 grad_norm: 8.3488 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3681 loss: 1.3681 2022/08/17 13:20:54 - mmengine - INFO - Epoch(train) [238][1100/3757] lr: 1.3530e-03 eta: 7:53:23 time: 0.4110 data_time: 0.0154 memory: 13431 grad_norm: 8.0742 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6826 loss: 1.6826 2022/08/17 13:21:36 - mmengine - INFO - Epoch(train) [238][1200/3757] lr: 1.3530e-03 eta: 7:52:43 time: 0.4116 data_time: 0.0171 memory: 13431 grad_norm: 8.1498 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2343 loss: 1.2343 2022/08/17 13:22:17 - mmengine - INFO - Epoch(train) [238][1300/3757] lr: 1.3530e-03 eta: 7:52:03 time: 0.4085 data_time: 0.0160 memory: 13431 grad_norm: 7.7665 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5537 loss: 1.5537 2022/08/17 13:22:59 - mmengine - INFO - Epoch(train) [238][1400/3757] lr: 1.3530e-03 eta: 7:51:22 time: 0.4101 data_time: 0.0156 memory: 13431 grad_norm: 8.1659 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2803 loss: 1.2803 2022/08/17 13:23:41 - mmengine - INFO - Epoch(train) [238][1500/3757] lr: 1.3530e-03 eta: 7:50:42 time: 0.4218 data_time: 0.0156 memory: 13431 grad_norm: 8.0286 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3845 loss: 1.3845 2022/08/17 13:24:19 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 13:24:23 - mmengine - INFO - Epoch(train) [238][1600/3757] lr: 1.3530e-03 eta: 7:50:02 time: 0.4109 data_time: 0.0165 memory: 13431 grad_norm: 8.2887 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2378 loss: 1.2378 2022/08/17 13:25:04 - mmengine - INFO - Epoch(train) [238][1700/3757] lr: 1.3530e-03 eta: 7:49:21 time: 0.4116 data_time: 0.0159 memory: 13431 grad_norm: 8.6598 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.3857 loss: 1.3857 2022/08/17 13:25:46 - mmengine - INFO - Epoch(train) [238][1800/3757] lr: 1.3530e-03 eta: 7:48:41 time: 0.4230 data_time: 0.0155 memory: 13431 grad_norm: 8.1493 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2604 loss: 1.2604 2022/08/17 13:26:28 - mmengine - INFO - Epoch(train) [238][1900/3757] lr: 1.3530e-03 eta: 7:48:01 time: 0.4167 data_time: 0.0164 memory: 13431 grad_norm: 7.9095 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1880 loss: 1.1880 2022/08/17 13:27:10 - mmengine - INFO - Epoch(train) [238][2000/3757] lr: 1.3530e-03 eta: 7:47:20 time: 0.4150 data_time: 0.0163 memory: 13431 grad_norm: 8.2166 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1629 loss: 1.1629 2022/08/17 13:27:51 - mmengine - INFO - Epoch(train) [238][2100/3757] lr: 1.3530e-03 eta: 7:46:40 time: 0.4128 data_time: 0.0161 memory: 13431 grad_norm: 7.9190 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3207 loss: 1.3207 2022/08/17 13:28:33 - mmengine - INFO - Epoch(train) [238][2200/3757] lr: 1.3530e-03 eta: 7:46:00 time: 0.4212 data_time: 0.0176 memory: 13431 grad_norm: 8.0337 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.4248 loss: 1.4248 2022/08/17 13:29:15 - mmengine - INFO - Epoch(train) [238][2300/3757] lr: 1.3530e-03 eta: 7:45:19 time: 0.4083 data_time: 0.0151 memory: 13431 grad_norm: 8.0043 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3500 loss: 1.3500 2022/08/17 13:29:57 - mmengine - INFO - Epoch(train) [238][2400/3757] lr: 1.3530e-03 eta: 7:44:39 time: 0.4075 data_time: 0.0156 memory: 13431 grad_norm: 8.1852 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3392 loss: 1.3392 2022/08/17 13:30:39 - mmengine - INFO - Epoch(train) [238][2500/3757] lr: 1.3530e-03 eta: 7:43:59 time: 0.4149 data_time: 0.0164 memory: 13431 grad_norm: 8.0427 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3372 loss: 1.3372 2022/08/17 13:31:17 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 13:31:20 - mmengine - INFO - Epoch(train) [238][2600/3757] lr: 1.3530e-03 eta: 7:43:18 time: 0.4108 data_time: 0.0162 memory: 13431 grad_norm: 7.7505 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0786 loss: 1.0786 2022/08/17 13:32:02 - mmengine - INFO - Epoch(train) [238][2700/3757] lr: 1.3530e-03 eta: 7:42:38 time: 0.4111 data_time: 0.0165 memory: 13431 grad_norm: 7.9727 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2963 loss: 1.2963 2022/08/17 13:32:44 - mmengine - INFO - Epoch(train) [238][2800/3757] lr: 1.3530e-03 eta: 7:41:58 time: 0.4201 data_time: 0.0158 memory: 13431 grad_norm: 7.6597 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1201 loss: 1.1201 2022/08/17 13:33:26 - mmengine - INFO - Epoch(train) [238][2900/3757] lr: 1.3530e-03 eta: 7:41:17 time: 0.4158 data_time: 0.0158 memory: 13431 grad_norm: 8.1105 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4136 loss: 1.4136 2022/08/17 13:34:08 - mmengine - INFO - Epoch(train) [238][3000/3757] lr: 1.3530e-03 eta: 7:40:37 time: 0.4139 data_time: 0.0168 memory: 13431 grad_norm: 8.2804 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4476 loss: 1.4476 2022/08/17 13:34:50 - mmengine - INFO - Epoch(train) [238][3100/3757] lr: 1.3530e-03 eta: 7:39:57 time: 0.4234 data_time: 0.0177 memory: 13431 grad_norm: 8.1843 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2795 loss: 1.2795 2022/08/17 13:35:31 - mmengine - INFO - Epoch(train) [238][3200/3757] lr: 1.3530e-03 eta: 7:39:16 time: 0.4152 data_time: 0.0160 memory: 13431 grad_norm: 8.3251 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6704 loss: 1.6704 2022/08/17 13:36:13 - mmengine - INFO - Epoch(train) [238][3300/3757] lr: 1.3530e-03 eta: 7:38:36 time: 0.4099 data_time: 0.0159 memory: 13431 grad_norm: 7.8431 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2573 loss: 1.2573 2022/08/17 13:36:55 - mmengine - INFO - Epoch(train) [238][3400/3757] lr: 1.3530e-03 eta: 7:37:56 time: 0.4113 data_time: 0.0160 memory: 13431 grad_norm: 7.8287 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1178 loss: 1.1178 2022/08/17 13:37:36 - mmengine - INFO - Epoch(train) [238][3500/3757] lr: 1.3530e-03 eta: 7:37:15 time: 0.4192 data_time: 0.0154 memory: 13431 grad_norm: 7.8468 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6335 loss: 1.6335 2022/08/17 13:38:14 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 13:38:18 - mmengine - INFO - Epoch(train) [238][3600/3757] lr: 1.3530e-03 eta: 7:36:35 time: 0.4175 data_time: 0.0180 memory: 13431 grad_norm: 8.3569 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0916 loss: 1.0916 2022/08/17 13:39:00 - mmengine - INFO - Epoch(train) [238][3700/3757] lr: 1.3530e-03 eta: 7:35:55 time: 0.4184 data_time: 0.0189 memory: 13431 grad_norm: 8.2002 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3986 loss: 1.3986 2022/08/17 13:39:24 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 13:39:24 - mmengine - INFO - Epoch(train) [238][3757/3757] lr: 1.3530e-03 eta: 7:35:39 time: 0.4131 data_time: 0.0158 memory: 13431 grad_norm: 8.1651 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.6230 loss: 1.6230 2022/08/17 13:40:08 - mmengine - INFO - Epoch(train) [239][100/3757] lr: 1.2149e-03 eta: 7:34:51 time: 0.4153 data_time: 0.0161 memory: 13431 grad_norm: 8.4746 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6015 loss: 1.6015 2022/08/17 13:40:49 - mmengine - INFO - Epoch(train) [239][200/3757] lr: 1.2149e-03 eta: 7:34:11 time: 0.4164 data_time: 0.0175 memory: 13431 grad_norm: 8.3677 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3925 loss: 1.3925 2022/08/17 13:41:31 - mmengine - INFO - Epoch(train) [239][300/3757] lr: 1.2149e-03 eta: 7:33:30 time: 0.4210 data_time: 0.0172 memory: 13431 grad_norm: 8.2589 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2017 loss: 1.2017 2022/08/17 13:42:13 - mmengine - INFO - Epoch(train) [239][400/3757] lr: 1.2149e-03 eta: 7:32:50 time: 0.4258 data_time: 0.0157 memory: 13431 grad_norm: 8.0532 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1802 loss: 1.1802 2022/08/17 13:42:55 - mmengine - INFO - Epoch(train) [239][500/3757] lr: 1.2149e-03 eta: 7:32:10 time: 0.4090 data_time: 0.0158 memory: 13431 grad_norm: 8.1612 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2198 loss: 1.2198 2022/08/17 13:43:37 - mmengine - INFO - Epoch(train) [239][600/3757] lr: 1.2149e-03 eta: 7:31:29 time: 0.4176 data_time: 0.0165 memory: 13431 grad_norm: 8.2947 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1938 loss: 1.1938 2022/08/17 13:44:19 - mmengine - INFO - Epoch(train) [239][700/3757] lr: 1.2149e-03 eta: 7:30:49 time: 0.4099 data_time: 0.0155 memory: 13431 grad_norm: 8.1966 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5391 loss: 1.5391 2022/08/17 13:45:01 - mmengine - INFO - Epoch(train) [239][800/3757] lr: 1.2149e-03 eta: 7:30:09 time: 0.4187 data_time: 0.0187 memory: 13431 grad_norm: 8.1630 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3484 loss: 1.3484 2022/08/17 13:45:16 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 13:45:43 - mmengine - INFO - Epoch(train) [239][900/3757] lr: 1.2149e-03 eta: 7:29:28 time: 0.4080 data_time: 0.0165 memory: 13431 grad_norm: 8.2248 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1916 loss: 1.1916 2022/08/17 13:46:25 - mmengine - INFO - Epoch(train) [239][1000/3757] lr: 1.2149e-03 eta: 7:28:48 time: 0.4103 data_time: 0.0165 memory: 13431 grad_norm: 8.4253 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4529 loss: 1.4529 2022/08/17 13:47:07 - mmengine - INFO - Epoch(train) [239][1100/3757] lr: 1.2149e-03 eta: 7:28:08 time: 0.4109 data_time: 0.0171 memory: 13431 grad_norm: 8.3895 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4985 loss: 1.4985 2022/08/17 13:47:49 - mmengine - INFO - Epoch(train) [239][1200/3757] lr: 1.2149e-03 eta: 7:27:27 time: 0.4087 data_time: 0.0159 memory: 13431 grad_norm: 7.7433 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1871 loss: 1.1871 2022/08/17 13:48:30 - mmengine - INFO - Epoch(train) [239][1300/3757] lr: 1.2149e-03 eta: 7:26:47 time: 0.4118 data_time: 0.0164 memory: 13431 grad_norm: 8.4449 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5347 loss: 1.5347 2022/08/17 13:49:12 - mmengine - INFO - Epoch(train) [239][1400/3757] lr: 1.2149e-03 eta: 7:26:07 time: 0.4099 data_time: 0.0154 memory: 13431 grad_norm: 8.4518 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4171 loss: 1.4171 2022/08/17 13:49:54 - mmengine - INFO - Epoch(train) [239][1500/3757] lr: 1.2149e-03 eta: 7:25:26 time: 0.4119 data_time: 0.0175 memory: 13431 grad_norm: 8.0398 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2002 loss: 1.2002 2022/08/17 13:50:35 - mmengine - INFO - Epoch(train) [239][1600/3757] lr: 1.2149e-03 eta: 7:24:46 time: 0.4101 data_time: 0.0158 memory: 13431 grad_norm: 8.4602 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5098 loss: 1.5098 2022/08/17 13:51:17 - mmengine - INFO - Epoch(train) [239][1700/3757] lr: 1.2149e-03 eta: 7:24:06 time: 0.4092 data_time: 0.0150 memory: 13431 grad_norm: 8.2753 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2985 loss: 1.2985 2022/08/17 13:51:59 - mmengine - INFO - Epoch(train) [239][1800/3757] lr: 1.2149e-03 eta: 7:23:25 time: 0.4202 data_time: 0.0180 memory: 13431 grad_norm: 8.1819 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0794 loss: 1.0794 2022/08/17 13:52:13 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 13:52:41 - mmengine - INFO - Epoch(train) [239][1900/3757] lr: 1.2149e-03 eta: 7:22:45 time: 0.4150 data_time: 0.0155 memory: 13431 grad_norm: 8.2545 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6299 loss: 1.6299 2022/08/17 13:53:23 - mmengine - INFO - Epoch(train) [239][2000/3757] lr: 1.2149e-03 eta: 7:22:05 time: 0.4094 data_time: 0.0161 memory: 13431 grad_norm: 7.8621 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1817 loss: 1.1817 2022/08/17 13:54:04 - mmengine - INFO - Epoch(train) [239][2100/3757] lr: 1.2149e-03 eta: 7:21:24 time: 0.4123 data_time: 0.0164 memory: 13431 grad_norm: 7.7823 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5365 loss: 1.5365 2022/08/17 13:54:46 - mmengine - INFO - Epoch(train) [239][2200/3757] lr: 1.2149e-03 eta: 7:20:44 time: 0.4159 data_time: 0.0151 memory: 13431 grad_norm: 8.1459 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9979 loss: 0.9979 2022/08/17 13:55:28 - mmengine - INFO - Epoch(train) [239][2300/3757] lr: 1.2149e-03 eta: 7:20:04 time: 0.4092 data_time: 0.0154 memory: 13431 grad_norm: 8.2172 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4978 loss: 1.4978 2022/08/17 13:56:10 - mmengine - INFO - Epoch(train) [239][2400/3757] lr: 1.2149e-03 eta: 7:19:23 time: 0.4083 data_time: 0.0162 memory: 13431 grad_norm: 8.1782 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2398 loss: 1.2398 2022/08/17 13:56:52 - mmengine - INFO - Epoch(train) [239][2500/3757] lr: 1.2149e-03 eta: 7:18:43 time: 0.4121 data_time: 0.0158 memory: 13431 grad_norm: 8.1880 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.3840 loss: 1.3840 2022/08/17 13:57:34 - mmengine - INFO - Epoch(train) [239][2600/3757] lr: 1.2149e-03 eta: 7:18:03 time: 0.4136 data_time: 0.0161 memory: 13431 grad_norm: 7.9005 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9518 loss: 0.9518 2022/08/17 13:58:16 - mmengine - INFO - Epoch(train) [239][2700/3757] lr: 1.2149e-03 eta: 7:17:22 time: 0.4093 data_time: 0.0148 memory: 13431 grad_norm: 7.9511 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3274 loss: 1.3274 2022/08/17 13:58:59 - mmengine - INFO - Epoch(train) [239][2800/3757] lr: 1.2149e-03 eta: 7:16:42 time: 0.4236 data_time: 0.0172 memory: 13431 grad_norm: 8.0242 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0665 loss: 1.0665 2022/08/17 13:59:13 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 13:59:41 - mmengine - INFO - Epoch(train) [239][2900/3757] lr: 1.2149e-03 eta: 7:16:02 time: 0.4320 data_time: 0.0171 memory: 13431 grad_norm: 7.9708 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4769 loss: 1.4769 2022/08/17 14:00:23 - mmengine - INFO - Epoch(train) [239][3000/3757] lr: 1.2149e-03 eta: 7:15:22 time: 0.4126 data_time: 0.0155 memory: 13431 grad_norm: 8.4266 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3800 loss: 1.3800 2022/08/17 14:01:05 - mmengine - INFO - Epoch(train) [239][3100/3757] lr: 1.2149e-03 eta: 7:14:41 time: 0.4103 data_time: 0.0181 memory: 13431 grad_norm: 8.2024 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1594 loss: 1.1594 2022/08/17 14:01:47 - mmengine - INFO - Epoch(train) [239][3200/3757] lr: 1.2149e-03 eta: 7:14:01 time: 0.4091 data_time: 0.0154 memory: 13431 grad_norm: 7.8843 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5386 loss: 1.5386 2022/08/17 14:02:28 - mmengine - INFO - Epoch(train) [239][3300/3757] lr: 1.2149e-03 eta: 7:13:21 time: 0.4136 data_time: 0.0151 memory: 13431 grad_norm: 8.4202 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2192 loss: 1.2192 2022/08/17 14:03:11 - mmengine - INFO - Epoch(train) [239][3400/3757] lr: 1.2149e-03 eta: 7:12:40 time: 0.4195 data_time: 0.0168 memory: 13431 grad_norm: 8.1998 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3752 loss: 1.3752 2022/08/17 14:03:52 - mmengine - INFO - Epoch(train) [239][3500/3757] lr: 1.2149e-03 eta: 7:12:00 time: 0.4208 data_time: 0.0174 memory: 13431 grad_norm: 8.4258 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4307 loss: 1.4307 2022/08/17 14:04:34 - mmengine - INFO - Epoch(train) [239][3600/3757] lr: 1.2149e-03 eta: 7:11:20 time: 0.4198 data_time: 0.0173 memory: 13431 grad_norm: 8.2428 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1523 loss: 1.1523 2022/08/17 14:05:16 - mmengine - INFO - Epoch(train) [239][3700/3757] lr: 1.2149e-03 eta: 7:10:39 time: 0.4216 data_time: 0.0171 memory: 13431 grad_norm: 8.0903 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4659 loss: 1.4659 2022/08/17 14:05:40 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 14:05:40 - mmengine - INFO - Epoch(train) [239][3757/3757] lr: 1.2149e-03 eta: 7:10:23 time: 0.3966 data_time: 0.0135 memory: 13431 grad_norm: 7.8913 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 1.2455 loss: 1.2455 2022/08/17 14:06:14 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 14:06:24 - mmengine - INFO - Epoch(train) [240][100/3757] lr: 1.0841e-03 eta: 7:09:36 time: 0.4089 data_time: 0.0165 memory: 13431 grad_norm: 7.8252 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0712 loss: 1.0712 2022/08/17 14:07:06 - mmengine - INFO - Epoch(train) [240][200/3757] lr: 1.0841e-03 eta: 7:08:55 time: 0.4112 data_time: 0.0158 memory: 13431 grad_norm: 8.0289 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.2446 loss: 1.2446 2022/08/17 14:07:48 - mmengine - INFO - Epoch(train) [240][300/3757] lr: 1.0841e-03 eta: 7:08:15 time: 0.4090 data_time: 0.0157 memory: 13431 grad_norm: 8.3994 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1617 loss: 1.1617 2022/08/17 14:08:30 - mmengine - INFO - Epoch(train) [240][400/3757] lr: 1.0841e-03 eta: 7:07:35 time: 0.4163 data_time: 0.0171 memory: 13431 grad_norm: 8.2199 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2745 loss: 1.2745 2022/08/17 14:09:11 - mmengine - INFO - Epoch(train) [240][500/3757] lr: 1.0841e-03 eta: 7:06:54 time: 0.4170 data_time: 0.0173 memory: 13431 grad_norm: 8.2759 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4220 loss: 1.4220 2022/08/17 14:09:53 - mmengine - INFO - Epoch(train) [240][600/3757] lr: 1.0841e-03 eta: 7:06:14 time: 0.4215 data_time: 0.0167 memory: 13431 grad_norm: 8.1323 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0246 loss: 1.0246 2022/08/17 14:10:35 - mmengine - INFO - Epoch(train) [240][700/3757] lr: 1.0841e-03 eta: 7:05:34 time: 0.4088 data_time: 0.0157 memory: 13431 grad_norm: 7.9281 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1992 loss: 1.1992 2022/08/17 14:11:17 - mmengine - INFO - Epoch(train) [240][800/3757] lr: 1.0841e-03 eta: 7:04:53 time: 0.4126 data_time: 0.0171 memory: 13431 grad_norm: 8.2637 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4850 loss: 1.4850 2022/08/17 14:12:00 - mmengine - INFO - Epoch(train) [240][900/3757] lr: 1.0841e-03 eta: 7:04:13 time: 0.4210 data_time: 0.0167 memory: 13431 grad_norm: 8.3487 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3598 loss: 1.3598 2022/08/17 14:12:42 - mmengine - INFO - Epoch(train) [240][1000/3757] lr: 1.0841e-03 eta: 7:03:33 time: 0.4263 data_time: 0.0191 memory: 13431 grad_norm: 8.3597 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2859 loss: 1.2859 2022/08/17 14:13:14 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 14:13:24 - mmengine - INFO - Epoch(train) [240][1100/3757] lr: 1.0841e-03 eta: 7:02:52 time: 0.4199 data_time: 0.0203 memory: 13431 grad_norm: 8.3847 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2460 loss: 1.2460 2022/08/17 14:14:05 - mmengine - INFO - Epoch(train) [240][1200/3757] lr: 1.0841e-03 eta: 7:02:12 time: 0.4128 data_time: 0.0166 memory: 13431 grad_norm: 8.2615 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2157 loss: 1.2157 2022/08/17 14:14:47 - mmengine - INFO - Epoch(train) [240][1300/3757] lr: 1.0841e-03 eta: 7:01:32 time: 0.4098 data_time: 0.0155 memory: 13431 grad_norm: 8.3839 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3008 loss: 1.3008 2022/08/17 14:15:30 - mmengine - INFO - Epoch(train) [240][1400/3757] lr: 1.0841e-03 eta: 7:00:51 time: 0.4133 data_time: 0.0169 memory: 13431 grad_norm: 8.4035 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4243 loss: 1.4243 2022/08/17 14:16:13 - mmengine - INFO - Epoch(train) [240][1500/3757] lr: 1.0841e-03 eta: 7:00:11 time: 0.4355 data_time: 0.0273 memory: 13431 grad_norm: 8.2711 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.5304 loss: 1.5304 2022/08/17 14:16:55 - mmengine - INFO - Epoch(train) [240][1600/3757] lr: 1.0841e-03 eta: 6:59:31 time: 0.4329 data_time: 0.0159 memory: 13431 grad_norm: 7.9876 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1415 loss: 1.1415 2022/08/17 14:17:37 - mmengine - INFO - Epoch(train) [240][1700/3757] lr: 1.0841e-03 eta: 6:58:50 time: 0.4117 data_time: 0.0156 memory: 13431 grad_norm: 8.9165 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3969 loss: 1.3969 2022/08/17 14:18:19 - mmengine - INFO - Epoch(train) [240][1800/3757] lr: 1.0841e-03 eta: 6:58:10 time: 0.4113 data_time: 0.0154 memory: 13431 grad_norm: 8.3555 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3245 loss: 1.3245 2022/08/17 14:19:03 - mmengine - INFO - Epoch(train) [240][1900/3757] lr: 1.0841e-03 eta: 6:57:30 time: 0.4199 data_time: 0.0175 memory: 13431 grad_norm: 8.4564 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3612 loss: 1.3612 2022/08/17 14:19:45 - mmengine - INFO - Epoch(train) [240][2000/3757] lr: 1.0841e-03 eta: 6:56:50 time: 0.4097 data_time: 0.0169 memory: 13431 grad_norm: 8.5769 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2003 loss: 1.2003 2022/08/17 14:20:17 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 14:20:27 - mmengine - INFO - Epoch(train) [240][2100/3757] lr: 1.0841e-03 eta: 6:56:09 time: 0.4094 data_time: 0.0165 memory: 13431 grad_norm: 8.0305 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2767 loss: 1.2767 2022/08/17 14:21:09 - mmengine - INFO - Epoch(train) [240][2200/3757] lr: 1.0841e-03 eta: 6:55:29 time: 0.4119 data_time: 0.0154 memory: 13431 grad_norm: 7.9933 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4364 loss: 1.4364 2022/08/17 14:21:51 - mmengine - INFO - Epoch(train) [240][2300/3757] lr: 1.0841e-03 eta: 6:54:49 time: 0.4198 data_time: 0.0169 memory: 13431 grad_norm: 7.9688 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1800 loss: 1.1800 2022/08/17 14:22:33 - mmengine - INFO - Epoch(train) [240][2400/3757] lr: 1.0841e-03 eta: 6:54:08 time: 0.4181 data_time: 0.0171 memory: 13431 grad_norm: 7.8904 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.1440 loss: 1.1440 2022/08/17 14:23:14 - mmengine - INFO - Epoch(train) [240][2500/3757] lr: 1.0841e-03 eta: 6:53:28 time: 0.4248 data_time: 0.0190 memory: 13431 grad_norm: 8.2275 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2397 loss: 1.2397 2022/08/17 14:23:56 - mmengine - INFO - Epoch(train) [240][2600/3757] lr: 1.0841e-03 eta: 6:52:47 time: 0.4195 data_time: 0.0163 memory: 13431 grad_norm: 8.4533 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3319 loss: 1.3319 2022/08/17 14:24:38 - mmengine - INFO - Epoch(train) [240][2700/3757] lr: 1.0841e-03 eta: 6:52:07 time: 0.4096 data_time: 0.0162 memory: 13431 grad_norm: 7.9789 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1519 loss: 1.1519 2022/08/17 14:25:20 - mmengine - INFO - Epoch(train) [240][2800/3757] lr: 1.0841e-03 eta: 6:51:27 time: 0.4194 data_time: 0.0182 memory: 13431 grad_norm: 8.4442 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4454 loss: 1.4454 2022/08/17 14:26:01 - mmengine - INFO - Epoch(train) [240][2900/3757] lr: 1.0841e-03 eta: 6:50:46 time: 0.4092 data_time: 0.0156 memory: 13431 grad_norm: 8.1858 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3716 loss: 1.3716 2022/08/17 14:26:43 - mmengine - INFO - Epoch(train) [240][3000/3757] lr: 1.0841e-03 eta: 6:50:06 time: 0.4193 data_time: 0.0181 memory: 13431 grad_norm: 8.2328 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2481 loss: 1.2481 2022/08/17 14:27:15 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 14:27:25 - mmengine - INFO - Epoch(train) [240][3100/3757] lr: 1.0841e-03 eta: 6:49:26 time: 0.4154 data_time: 0.0159 memory: 13431 grad_norm: 8.1009 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1112 loss: 1.1112 2022/08/17 14:28:07 - mmengine - INFO - Epoch(train) [240][3200/3757] lr: 1.0841e-03 eta: 6:48:45 time: 0.4196 data_time: 0.0165 memory: 13431 grad_norm: 8.2500 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2069 loss: 1.2069 2022/08/17 14:28:49 - mmengine - INFO - Epoch(train) [240][3300/3757] lr: 1.0841e-03 eta: 6:48:05 time: 0.4141 data_time: 0.0160 memory: 13431 grad_norm: 8.5705 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3411 loss: 1.3411 2022/08/17 14:29:31 - mmengine - INFO - Epoch(train) [240][3400/3757] lr: 1.0841e-03 eta: 6:47:25 time: 0.4141 data_time: 0.0222 memory: 13431 grad_norm: 8.2785 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0614 loss: 1.0614 2022/08/17 14:30:14 - mmengine - INFO - Epoch(train) [240][3500/3757] lr: 1.0841e-03 eta: 6:46:44 time: 0.4243 data_time: 0.0165 memory: 13431 grad_norm: 8.5724 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1184 loss: 1.1184 2022/08/17 14:30:55 - mmengine - INFO - Epoch(train) [240][3600/3757] lr: 1.0841e-03 eta: 6:46:04 time: 0.4092 data_time: 0.0161 memory: 13431 grad_norm: 8.1788 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2104 loss: 1.2104 2022/08/17 14:31:37 - mmengine - INFO - Epoch(train) [240][3700/3757] lr: 1.0841e-03 eta: 6:45:24 time: 0.4130 data_time: 0.0157 memory: 13431 grad_norm: 8.2477 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2223 loss: 1.2223 2022/08/17 14:32:00 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 14:32:00 - mmengine - INFO - Epoch(train) [240][3757/3757] lr: 1.0841e-03 eta: 6:45:08 time: 0.3953 data_time: 0.0144 memory: 13431 grad_norm: 8.3598 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.2659 loss: 1.2659 2022/08/17 14:32:00 - mmengine - INFO - Saving checkpoint at 240 epochs 2022/08/17 14:32:30 - mmengine - INFO - Epoch(val) [240][100/310] eta: 0:00:46 time: 0.2219 data_time: 0.0958 memory: 1974 2022/08/17 14:32:51 - mmengine - INFO - Epoch(val) [240][200/310] eta: 0:00:21 time: 0.1940 data_time: 0.0653 memory: 1974 2022/08/17 14:33:10 - mmengine - INFO - Epoch(val) [240][300/310] eta: 0:00:01 time: 0.1276 data_time: 0.0204 memory: 1974 2022/08/17 14:33:12 - mmengine - INFO - Epoch(val) [240][310/310] acc/top1: 0.7018 acc/top5: 0.8913 acc/mean1: 0.7018 2022/08/17 14:33:12 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_236.pth is removed 2022/08/17 14:33:17 - mmengine - INFO - The best checkpoint with 0.7018 acc/top1 at 241 epoch is saved to best_acc/top1_epoch_241.pth. 2022/08/17 14:34:00 - mmengine - INFO - Epoch(train) [241][100/3757] lr: 9.6074e-04 eta: 6:44:20 time: 0.4078 data_time: 0.0162 memory: 13431 grad_norm: 8.2141 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0808 loss: 1.0808 2022/08/17 14:34:42 - mmengine - INFO - Epoch(train) [241][200/3757] lr: 9.6074e-04 eta: 6:43:40 time: 0.4098 data_time: 0.0173 memory: 13431 grad_norm: 7.8308 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1820 loss: 1.1820 2022/08/17 14:35:24 - mmengine - INFO - Epoch(train) [241][300/3757] lr: 9.6074e-04 eta: 6:42:59 time: 0.4221 data_time: 0.0164 memory: 13431 grad_norm: 8.0989 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0627 loss: 1.0627 2022/08/17 14:35:32 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 14:36:05 - mmengine - INFO - Epoch(train) [241][400/3757] lr: 9.6074e-04 eta: 6:42:19 time: 0.4165 data_time: 0.0179 memory: 13431 grad_norm: 8.2662 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2367 loss: 1.2367 2022/08/17 14:36:47 - mmengine - INFO - Epoch(train) [241][500/3757] lr: 9.6074e-04 eta: 6:41:39 time: 0.4190 data_time: 0.0156 memory: 13431 grad_norm: 8.5401 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2439 loss: 1.2439 2022/08/17 14:37:29 - mmengine - INFO - Epoch(train) [241][600/3757] lr: 9.6074e-04 eta: 6:40:58 time: 0.4141 data_time: 0.0164 memory: 13431 grad_norm: 8.2872 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1701 loss: 1.1701 2022/08/17 14:38:11 - mmengine - INFO - Epoch(train) [241][700/3757] lr: 9.6074e-04 eta: 6:40:18 time: 0.4191 data_time: 0.0165 memory: 13431 grad_norm: 8.2576 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3696 loss: 1.3696 2022/08/17 14:38:53 - mmengine - INFO - Epoch(train) [241][800/3757] lr: 9.6074e-04 eta: 6:39:38 time: 0.4103 data_time: 0.0156 memory: 13431 grad_norm: 8.7291 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3847 loss: 1.3847 2022/08/17 14:39:34 - mmengine - INFO - Epoch(train) [241][900/3757] lr: 9.6074e-04 eta: 6:38:57 time: 0.4149 data_time: 0.0174 memory: 13431 grad_norm: 8.6891 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1604 loss: 1.1604 2022/08/17 14:40:16 - mmengine - INFO - Epoch(train) [241][1000/3757] lr: 9.6074e-04 eta: 6:38:17 time: 0.4208 data_time: 0.0150 memory: 13431 grad_norm: 8.1444 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3881 loss: 1.3881 2022/08/17 14:40:59 - mmengine - INFO - Epoch(train) [241][1100/3757] lr: 9.6074e-04 eta: 6:37:36 time: 0.4340 data_time: 0.0180 memory: 13431 grad_norm: 8.2947 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3241 loss: 1.3241 2022/08/17 14:41:41 - mmengine - INFO - Epoch(train) [241][1200/3757] lr: 9.6074e-04 eta: 6:36:56 time: 0.4114 data_time: 0.0153 memory: 13431 grad_norm: 7.8992 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2030 loss: 1.2030 2022/08/17 14:42:23 - mmengine - INFO - Epoch(train) [241][1300/3757] lr: 9.6074e-04 eta: 6:36:16 time: 0.4140 data_time: 0.0157 memory: 13431 grad_norm: 8.0552 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3139 loss: 1.3139 2022/08/17 14:42:31 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 14:43:05 - mmengine - INFO - Epoch(train) [241][1400/3757] lr: 9.6074e-04 eta: 6:35:35 time: 0.4183 data_time: 0.0171 memory: 13431 grad_norm: 8.2666 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3503 loss: 1.3503 2022/08/17 14:43:47 - mmengine - INFO - Epoch(train) [241][1500/3757] lr: 9.6074e-04 eta: 6:34:55 time: 0.4272 data_time: 0.0176 memory: 13431 grad_norm: 8.4737 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3879 loss: 1.3879 2022/08/17 14:44:28 - mmengine - INFO - Epoch(train) [241][1600/3757] lr: 9.6074e-04 eta: 6:34:15 time: 0.4215 data_time: 0.0185 memory: 13431 grad_norm: 8.2154 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2143 loss: 1.2143 2022/08/17 14:45:10 - mmengine - INFO - Epoch(train) [241][1700/3757] lr: 9.6074e-04 eta: 6:33:34 time: 0.4172 data_time: 0.0183 memory: 13431 grad_norm: 8.6727 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0610 loss: 1.0610 2022/08/17 14:45:52 - mmengine - INFO - Epoch(train) [241][1800/3757] lr: 9.6074e-04 eta: 6:32:54 time: 0.4185 data_time: 0.0179 memory: 13431 grad_norm: 8.3905 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2087 loss: 1.2087 2022/08/17 14:46:34 - mmengine - INFO - Epoch(train) [241][1900/3757] lr: 9.6074e-04 eta: 6:32:14 time: 0.4078 data_time: 0.0154 memory: 13431 grad_norm: 8.4563 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0758 loss: 1.0758 2022/08/17 14:47:16 - mmengine - INFO - Epoch(train) [241][2000/3757] lr: 9.6074e-04 eta: 6:31:33 time: 0.4087 data_time: 0.0153 memory: 13431 grad_norm: 8.6135 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0842 loss: 1.0842 2022/08/17 14:47:58 - mmengine - INFO - Epoch(train) [241][2100/3757] lr: 9.6074e-04 eta: 6:30:53 time: 0.4230 data_time: 0.0176 memory: 13431 grad_norm: 8.1544 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3394 loss: 1.3394 2022/08/17 14:48:40 - mmengine - INFO - Epoch(train) [241][2200/3757] lr: 9.6074e-04 eta: 6:30:13 time: 0.4172 data_time: 0.0170 memory: 13431 grad_norm: 8.2674 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2438 loss: 1.2438 2022/08/17 14:49:22 - mmengine - INFO - Epoch(train) [241][2300/3757] lr: 9.6074e-04 eta: 6:29:32 time: 0.4088 data_time: 0.0152 memory: 13431 grad_norm: 8.4726 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3906 loss: 1.3906 2022/08/17 14:49:30 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 14:50:04 - mmengine - INFO - Epoch(train) [241][2400/3757] lr: 9.6074e-04 eta: 6:28:52 time: 0.4227 data_time: 0.0155 memory: 13431 grad_norm: 8.6218 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1236 loss: 1.1236 2022/08/17 14:50:45 - mmengine - INFO - Epoch(train) [241][2500/3757] lr: 9.6074e-04 eta: 6:28:12 time: 0.4171 data_time: 0.0179 memory: 13431 grad_norm: 8.6560 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4062 loss: 1.4062 2022/08/17 14:51:27 - mmengine - INFO - Epoch(train) [241][2600/3757] lr: 9.6074e-04 eta: 6:27:31 time: 0.4125 data_time: 0.0161 memory: 13431 grad_norm: 8.8469 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2099 loss: 1.2099 2022/08/17 14:52:09 - mmengine - INFO - Epoch(train) [241][2700/3757] lr: 9.6074e-04 eta: 6:26:51 time: 0.4145 data_time: 0.0167 memory: 13431 grad_norm: 8.4279 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1950 loss: 1.1950 2022/08/17 14:52:52 - mmengine - INFO - Epoch(train) [241][2800/3757] lr: 9.6074e-04 eta: 6:26:11 time: 0.4545 data_time: 0.0189 memory: 13431 grad_norm: 8.4081 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2449 loss: 1.2449 2022/08/17 14:53:34 - mmengine - INFO - Epoch(train) [241][2900/3757] lr: 9.6074e-04 eta: 6:25:30 time: 0.4105 data_time: 0.0163 memory: 13431 grad_norm: 8.5894 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3572 loss: 1.3572 2022/08/17 14:54:15 - mmengine - INFO - Epoch(train) [241][3000/3757] lr: 9.6074e-04 eta: 6:24:50 time: 0.4131 data_time: 0.0162 memory: 13431 grad_norm: 8.8571 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2474 loss: 1.2474 2022/08/17 14:54:58 - mmengine - INFO - Epoch(train) [241][3100/3757] lr: 9.6074e-04 eta: 6:24:10 time: 0.4231 data_time: 0.0161 memory: 13431 grad_norm: 8.4766 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2351 loss: 1.2351 2022/08/17 14:55:39 - mmengine - INFO - Epoch(train) [241][3200/3757] lr: 9.6074e-04 eta: 6:23:29 time: 0.4102 data_time: 0.0164 memory: 13431 grad_norm: 8.9300 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3701 loss: 1.3701 2022/08/17 14:56:21 - mmengine - INFO - Epoch(train) [241][3300/3757] lr: 9.6074e-04 eta: 6:22:49 time: 0.4108 data_time: 0.0159 memory: 13431 grad_norm: 8.2995 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1913 loss: 1.1913 2022/08/17 14:56:30 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 14:57:03 - mmengine - INFO - Epoch(train) [241][3400/3757] lr: 9.6074e-04 eta: 6:22:08 time: 0.4098 data_time: 0.0149 memory: 13431 grad_norm: 8.2230 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4088 loss: 1.4088 2022/08/17 14:57:45 - mmengine - INFO - Epoch(train) [241][3500/3757] lr: 9.6074e-04 eta: 6:21:28 time: 0.4275 data_time: 0.0198 memory: 13431 grad_norm: 8.1549 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2134 loss: 1.2134 2022/08/17 14:58:27 - mmengine - INFO - Epoch(train) [241][3600/3757] lr: 9.6074e-04 eta: 6:20:48 time: 0.4228 data_time: 0.0168 memory: 13431 grad_norm: 8.5656 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4059 loss: 1.4059 2022/08/17 14:59:09 - mmengine - INFO - Epoch(train) [241][3700/3757] lr: 9.6074e-04 eta: 6:20:07 time: 0.4430 data_time: 0.0199 memory: 13431 grad_norm: 8.6463 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2684 loss: 1.2684 2022/08/17 14:59:33 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 14:59:33 - mmengine - INFO - Epoch(train) [241][3757/3757] lr: 9.6074e-04 eta: 6:19:51 time: 0.4008 data_time: 0.0140 memory: 13431 grad_norm: 8.3044 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.3560 loss: 1.3560 2022/08/17 15:00:17 - mmengine - INFO - Epoch(train) [242][100/3757] lr: 8.4473e-04 eta: 6:19:04 time: 0.4098 data_time: 0.0163 memory: 13431 grad_norm: 8.5296 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2989 loss: 1.2989 2022/08/17 15:00:59 - mmengine - INFO - Epoch(train) [242][200/3757] lr: 8.4473e-04 eta: 6:18:23 time: 0.4122 data_time: 0.0154 memory: 13431 grad_norm: 8.6629 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3847 loss: 1.3847 2022/08/17 15:01:42 - mmengine - INFO - Epoch(train) [242][300/3757] lr: 8.4473e-04 eta: 6:17:43 time: 0.4222 data_time: 0.0162 memory: 13431 grad_norm: 8.6206 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2941 loss: 1.2941 2022/08/17 15:02:24 - mmengine - INFO - Epoch(train) [242][400/3757] lr: 8.4473e-04 eta: 6:17:03 time: 0.4220 data_time: 0.0172 memory: 13431 grad_norm: 8.1909 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.2937 loss: 1.2937 2022/08/17 15:03:06 - mmengine - INFO - Epoch(train) [242][500/3757] lr: 8.4473e-04 eta: 6:16:22 time: 0.4198 data_time: 0.0172 memory: 13431 grad_norm: 8.5270 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3005 loss: 1.3005 2022/08/17 15:03:32 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 15:03:47 - mmengine - INFO - Epoch(train) [242][600/3757] lr: 8.4473e-04 eta: 6:15:42 time: 0.4189 data_time: 0.0173 memory: 13431 grad_norm: 8.5836 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2960 loss: 1.2960 2022/08/17 15:04:29 - mmengine - INFO - Epoch(train) [242][700/3757] lr: 8.4473e-04 eta: 6:15:02 time: 0.4247 data_time: 0.0164 memory: 13431 grad_norm: 8.7425 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9859 loss: 0.9859 2022/08/17 15:05:11 - mmengine - INFO - Epoch(train) [242][800/3757] lr: 8.4473e-04 eta: 6:14:21 time: 0.4214 data_time: 0.0170 memory: 13431 grad_norm: 8.1577 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3545 loss: 1.3545 2022/08/17 15:05:54 - mmengine - INFO - Epoch(train) [242][900/3757] lr: 8.4473e-04 eta: 6:13:41 time: 0.4203 data_time: 0.0161 memory: 13431 grad_norm: 8.2549 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9667 loss: 0.9667 2022/08/17 15:06:36 - mmengine - INFO - Epoch(train) [242][1000/3757] lr: 8.4473e-04 eta: 6:13:01 time: 0.4109 data_time: 0.0156 memory: 13431 grad_norm: 8.8015 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4538 loss: 1.4538 2022/08/17 15:07:18 - mmengine - INFO - Epoch(train) [242][1100/3757] lr: 8.4473e-04 eta: 6:12:20 time: 0.4196 data_time: 0.0159 memory: 13431 grad_norm: 8.1982 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0849 loss: 1.0849 2022/08/17 15:08:02 - mmengine - INFO - Epoch(train) [242][1200/3757] lr: 8.4473e-04 eta: 6:11:40 time: 0.4100 data_time: 0.0167 memory: 13431 grad_norm: 8.6522 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2383 loss: 1.2383 2022/08/17 15:08:45 - mmengine - INFO - Epoch(train) [242][1300/3757] lr: 8.4473e-04 eta: 6:11:00 time: 0.4116 data_time: 0.0156 memory: 13431 grad_norm: 8.6336 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2905 loss: 1.2905 2022/08/17 15:09:27 - mmengine - INFO - Epoch(train) [242][1400/3757] lr: 8.4473e-04 eta: 6:10:20 time: 0.4216 data_time: 0.0162 memory: 13431 grad_norm: 8.8369 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5188 loss: 1.5188 2022/08/17 15:10:09 - mmengine - INFO - Epoch(train) [242][1500/3757] lr: 8.4473e-04 eta: 6:09:39 time: 0.4128 data_time: 0.0174 memory: 13431 grad_norm: 8.3468 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3325 loss: 1.3325 2022/08/17 15:10:36 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 15:10:51 - mmengine - INFO - Epoch(train) [242][1600/3757] lr: 8.4473e-04 eta: 6:08:59 time: 0.4150 data_time: 0.0152 memory: 13431 grad_norm: 8.1302 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2191 loss: 1.2191 2022/08/17 15:11:33 - mmengine - INFO - Epoch(train) [242][1700/3757] lr: 8.4473e-04 eta: 6:08:18 time: 0.4193 data_time: 0.0178 memory: 13431 grad_norm: 8.3747 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3948 loss: 1.3948 2022/08/17 15:12:15 - mmengine - INFO - Epoch(train) [242][1800/3757] lr: 8.4473e-04 eta: 6:07:38 time: 0.4186 data_time: 0.0165 memory: 13431 grad_norm: 8.6134 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2592 loss: 1.2592 2022/08/17 15:12:56 - mmengine - INFO - Epoch(train) [242][1900/3757] lr: 8.4473e-04 eta: 6:06:58 time: 0.4183 data_time: 0.0181 memory: 13431 grad_norm: 8.4851 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5450 loss: 1.5450 2022/08/17 15:13:38 - mmengine - INFO - Epoch(train) [242][2000/3757] lr: 8.4473e-04 eta: 6:06:17 time: 0.4227 data_time: 0.0178 memory: 13431 grad_norm: 8.5677 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3177 loss: 1.3177 2022/08/17 15:14:20 - mmengine - INFO - Epoch(train) [242][2100/3757] lr: 8.4473e-04 eta: 6:05:37 time: 0.4268 data_time: 0.0163 memory: 13431 grad_norm: 8.3423 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1972 loss: 1.1972 2022/08/17 15:15:02 - mmengine - INFO - Epoch(train) [242][2200/3757] lr: 8.4473e-04 eta: 6:04:57 time: 0.4200 data_time: 0.0165 memory: 13431 grad_norm: 8.6655 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3663 loss: 1.3663 2022/08/17 15:15:44 - mmengine - INFO - Epoch(train) [242][2300/3757] lr: 8.4473e-04 eta: 6:04:16 time: 0.4126 data_time: 0.0172 memory: 13431 grad_norm: 8.5740 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9997 loss: 0.9997 2022/08/17 15:16:26 - mmengine - INFO - Epoch(train) [242][2400/3757] lr: 8.4473e-04 eta: 6:03:36 time: 0.4272 data_time: 0.0158 memory: 13431 grad_norm: 8.6216 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1422 loss: 1.1422 2022/08/17 15:17:09 - mmengine - INFO - Epoch(train) [242][2500/3757] lr: 8.4473e-04 eta: 6:02:56 time: 0.4187 data_time: 0.0149 memory: 13431 grad_norm: 8.6085 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2507 loss: 1.2507 2022/08/17 15:17:36 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 15:17:52 - mmengine - INFO - Epoch(train) [242][2600/3757] lr: 8.4473e-04 eta: 6:02:15 time: 0.4123 data_time: 0.0172 memory: 13431 grad_norm: 8.6360 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2706 loss: 1.2706 2022/08/17 15:18:33 - mmengine - INFO - Epoch(train) [242][2700/3757] lr: 8.4473e-04 eta: 6:01:35 time: 0.4194 data_time: 0.0167 memory: 13431 grad_norm: 8.3960 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3496 loss: 1.3496 2022/08/17 15:19:16 - mmengine - INFO - Epoch(train) [242][2800/3757] lr: 8.4473e-04 eta: 6:00:55 time: 0.4214 data_time: 0.0163 memory: 13431 grad_norm: 7.9722 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0462 loss: 1.0462 2022/08/17 15:19:58 - mmengine - INFO - Epoch(train) [242][2900/3757] lr: 8.4473e-04 eta: 6:00:14 time: 0.4420 data_time: 0.0181 memory: 13431 grad_norm: 8.8180 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2971 loss: 1.2971 2022/08/17 15:20:40 - mmengine - INFO - Epoch(train) [242][3000/3757] lr: 8.4473e-04 eta: 5:59:34 time: 0.4221 data_time: 0.0153 memory: 13431 grad_norm: 8.3761 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0833 loss: 1.0833 2022/08/17 15:21:22 - mmengine - INFO - Epoch(train) [242][3100/3757] lr: 8.4473e-04 eta: 5:58:54 time: 0.4172 data_time: 0.0160 memory: 13431 grad_norm: 8.3824 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5893 loss: 1.5893 2022/08/17 15:22:05 - mmengine - INFO - Epoch(train) [242][3200/3757] lr: 8.4473e-04 eta: 5:58:13 time: 0.4282 data_time: 0.0159 memory: 13431 grad_norm: 8.7760 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4636 loss: 1.4636 2022/08/17 15:22:47 - mmengine - INFO - Epoch(train) [242][3300/3757] lr: 8.4473e-04 eta: 5:57:33 time: 0.4099 data_time: 0.0172 memory: 13431 grad_norm: 8.3446 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2065 loss: 1.2065 2022/08/17 15:23:29 - mmengine - INFO - Epoch(train) [242][3400/3757] lr: 8.4473e-04 eta: 5:56:53 time: 0.4213 data_time: 0.0155 memory: 13431 grad_norm: 8.4834 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9272 loss: 0.9272 2022/08/17 15:24:11 - mmengine - INFO - Epoch(train) [242][3500/3757] lr: 8.4473e-04 eta: 5:56:12 time: 0.4150 data_time: 0.0164 memory: 13431 grad_norm: 8.2109 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3907 loss: 1.3907 2022/08/17 15:24:38 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 15:24:53 - mmengine - INFO - Epoch(train) [242][3600/3757] lr: 8.4473e-04 eta: 5:55:32 time: 0.4287 data_time: 0.0180 memory: 13431 grad_norm: 8.4979 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2824 loss: 1.2824 2022/08/17 15:25:35 - mmengine - INFO - Epoch(train) [242][3700/3757] lr: 8.4473e-04 eta: 5:54:51 time: 0.4195 data_time: 0.0148 memory: 13431 grad_norm: 8.4957 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.4284 loss: 1.4284 2022/08/17 15:25:59 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 15:25:59 - mmengine - INFO - Epoch(train) [242][3757/3757] lr: 8.4473e-04 eta: 5:54:35 time: 0.3999 data_time: 0.0140 memory: 13431 grad_norm: 8.7983 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.4319 loss: 1.4319 2022/08/17 15:26:43 - mmengine - INFO - Epoch(train) [243][100/3757] lr: 7.3612e-04 eta: 5:53:48 time: 0.4124 data_time: 0.0154 memory: 13431 grad_norm: 8.2112 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2456 loss: 1.2456 2022/08/17 15:27:25 - mmengine - INFO - Epoch(train) [243][200/3757] lr: 7.3612e-04 eta: 5:53:07 time: 0.4097 data_time: 0.0155 memory: 13431 grad_norm: 8.4999 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2313 loss: 1.2313 2022/08/17 15:28:07 - mmengine - INFO - Epoch(train) [243][300/3757] lr: 7.3612e-04 eta: 5:52:27 time: 0.4233 data_time: 0.0179 memory: 13431 grad_norm: 8.6989 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1462 loss: 1.1462 2022/08/17 15:28:49 - mmengine - INFO - Epoch(train) [243][400/3757] lr: 7.3612e-04 eta: 5:51:47 time: 0.4212 data_time: 0.0185 memory: 13431 grad_norm: 8.4876 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2703 loss: 1.2703 2022/08/17 15:29:31 - mmengine - INFO - Epoch(train) [243][500/3757] lr: 7.3612e-04 eta: 5:51:06 time: 0.4217 data_time: 0.0154 memory: 13431 grad_norm: 8.4819 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4303 loss: 1.4303 2022/08/17 15:30:13 - mmengine - INFO - Epoch(train) [243][600/3757] lr: 7.3612e-04 eta: 5:50:26 time: 0.4176 data_time: 0.0182 memory: 13431 grad_norm: 8.4467 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1083 loss: 1.1083 2022/08/17 15:30:55 - mmengine - INFO - Epoch(train) [243][700/3757] lr: 7.3612e-04 eta: 5:49:46 time: 0.4073 data_time: 0.0157 memory: 13431 grad_norm: 8.4321 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1044 loss: 1.1044 2022/08/17 15:31:37 - mmengine - INFO - Epoch(train) [243][800/3757] lr: 7.3612e-04 eta: 5:49:05 time: 0.4165 data_time: 0.0155 memory: 13431 grad_norm: 8.4701 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2743 loss: 1.2743 2022/08/17 15:31:40 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 15:32:19 - mmengine - INFO - Epoch(train) [243][900/3757] lr: 7.3612e-04 eta: 5:48:25 time: 0.4196 data_time: 0.0180 memory: 13431 grad_norm: 8.1682 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1293 loss: 1.1293 2022/08/17 15:33:01 - mmengine - INFO - Epoch(train) [243][1000/3757] lr: 7.3612e-04 eta: 5:47:45 time: 0.4246 data_time: 0.0199 memory: 13431 grad_norm: 8.4821 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1604 loss: 1.1604 2022/08/17 15:33:42 - mmengine - INFO - Epoch(train) [243][1100/3757] lr: 7.3612e-04 eta: 5:47:04 time: 0.4132 data_time: 0.0161 memory: 13431 grad_norm: 8.0308 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2196 loss: 1.2196 2022/08/17 15:34:25 - mmengine - INFO - Epoch(train) [243][1200/3757] lr: 7.3612e-04 eta: 5:46:24 time: 0.4234 data_time: 0.0185 memory: 13431 grad_norm: 8.6265 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2043 loss: 1.2043 2022/08/17 15:35:07 - mmengine - INFO - Epoch(train) [243][1300/3757] lr: 7.3612e-04 eta: 5:45:43 time: 0.4110 data_time: 0.0163 memory: 13431 grad_norm: 8.5848 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.1956 loss: 1.1956 2022/08/17 15:35:49 - mmengine - INFO - Epoch(train) [243][1400/3757] lr: 7.3612e-04 eta: 5:45:03 time: 0.4142 data_time: 0.0155 memory: 13431 grad_norm: 8.5171 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0489 loss: 1.0489 2022/08/17 15:36:32 - mmengine - INFO - Epoch(train) [243][1500/3757] lr: 7.3612e-04 eta: 5:44:23 time: 0.4155 data_time: 0.0162 memory: 13431 grad_norm: 8.4636 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1644 loss: 1.1644 2022/08/17 15:37:14 - mmengine - INFO - Epoch(train) [243][1600/3757] lr: 7.3612e-04 eta: 5:43:42 time: 0.4148 data_time: 0.0165 memory: 13431 grad_norm: 8.6153 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2621 loss: 1.2621 2022/08/17 15:37:56 - mmengine - INFO - Epoch(train) [243][1700/3757] lr: 7.3612e-04 eta: 5:43:02 time: 0.4089 data_time: 0.0156 memory: 13431 grad_norm: 8.1073 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1227 loss: 1.1227 2022/08/17 15:38:38 - mmengine - INFO - Epoch(train) [243][1800/3757] lr: 7.3612e-04 eta: 5:42:22 time: 0.4115 data_time: 0.0152 memory: 13431 grad_norm: 8.3883 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3007 loss: 1.3007 2022/08/17 15:38:40 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 15:39:20 - mmengine - INFO - Epoch(train) [243][1900/3757] lr: 7.3612e-04 eta: 5:41:41 time: 0.4200 data_time: 0.0160 memory: 13431 grad_norm: 8.4956 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6142 loss: 1.6142 2022/08/17 15:40:02 - mmengine - INFO - Epoch(train) [243][2000/3757] lr: 7.3612e-04 eta: 5:41:01 time: 0.4123 data_time: 0.0178 memory: 13431 grad_norm: 8.7996 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2286 loss: 1.2286 2022/08/17 15:40:44 - mmengine - INFO - Epoch(train) [243][2100/3757] lr: 7.3612e-04 eta: 5:40:21 time: 0.4113 data_time: 0.0157 memory: 13431 grad_norm: 8.5994 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2398 loss: 1.2398 2022/08/17 15:41:26 - mmengine - INFO - Epoch(train) [243][2200/3757] lr: 7.3612e-04 eta: 5:39:40 time: 0.4089 data_time: 0.0158 memory: 13431 grad_norm: 8.6006 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3218 loss: 1.3218 2022/08/17 15:42:09 - mmengine - INFO - Epoch(train) [243][2300/3757] lr: 7.3612e-04 eta: 5:39:00 time: 0.4287 data_time: 0.0192 memory: 13431 grad_norm: 8.4647 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8994 loss: 0.8994 2022/08/17 15:42:51 - mmengine - INFO - Epoch(train) [243][2400/3757] lr: 7.3612e-04 eta: 5:38:20 time: 0.4226 data_time: 0.0177 memory: 13431 grad_norm: 8.4120 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1989 loss: 1.1989 2022/08/17 15:43:34 - mmengine - INFO - Epoch(train) [243][2500/3757] lr: 7.3612e-04 eta: 5:37:39 time: 0.4609 data_time: 0.0190 memory: 13431 grad_norm: 8.4627 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2747 loss: 1.2747 2022/08/17 15:44:16 - mmengine - INFO - Epoch(train) [243][2600/3757] lr: 7.3612e-04 eta: 5:36:59 time: 0.4249 data_time: 0.0168 memory: 13431 grad_norm: 8.9970 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3289 loss: 1.3289 2022/08/17 15:44:59 - mmengine - INFO - Epoch(train) [243][2700/3757] lr: 7.3612e-04 eta: 5:36:19 time: 0.4108 data_time: 0.0157 memory: 13431 grad_norm: 8.9193 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.0713 loss: 1.0713 2022/08/17 15:45:42 - mmengine - INFO - Epoch(train) [243][2800/3757] lr: 7.3612e-04 eta: 5:35:38 time: 0.4285 data_time: 0.0184 memory: 13431 grad_norm: 8.3943 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3271 loss: 1.3271 2022/08/17 15:45:44 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 15:46:24 - mmengine - INFO - Epoch(train) [243][2900/3757] lr: 7.3612e-04 eta: 5:34:58 time: 0.4179 data_time: 0.0167 memory: 13431 grad_norm: 9.1260 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3882 loss: 1.3882 2022/08/17 15:47:06 - mmengine - INFO - Epoch(train) [243][3000/3757] lr: 7.3612e-04 eta: 5:34:18 time: 0.4126 data_time: 0.0186 memory: 13431 grad_norm: 8.7045 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1205 loss: 1.1205 2022/08/17 15:47:48 - mmengine - INFO - Epoch(train) [243][3100/3757] lr: 7.3612e-04 eta: 5:33:37 time: 0.4109 data_time: 0.0159 memory: 13431 grad_norm: 8.3866 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9574 loss: 0.9574 2022/08/17 15:48:30 - mmengine - INFO - Epoch(train) [243][3200/3757] lr: 7.3612e-04 eta: 5:32:57 time: 0.4113 data_time: 0.0161 memory: 13431 grad_norm: 9.0491 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2558 loss: 1.2558 2022/08/17 15:49:12 - mmengine - INFO - Epoch(train) [243][3300/3757] lr: 7.3612e-04 eta: 5:32:16 time: 0.4126 data_time: 0.0175 memory: 13431 grad_norm: 8.5313 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5384 loss: 1.5384 2022/08/17 15:49:55 - mmengine - INFO - Epoch(train) [243][3400/3757] lr: 7.3612e-04 eta: 5:31:36 time: 0.4097 data_time: 0.0156 memory: 13431 grad_norm: 8.0736 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4651 loss: 1.4651 2022/08/17 15:50:37 - mmengine - INFO - Epoch(train) [243][3500/3757] lr: 7.3612e-04 eta: 5:30:56 time: 0.4142 data_time: 0.0158 memory: 13431 grad_norm: 8.6558 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9488 loss: 0.9488 2022/08/17 15:51:19 - mmengine - INFO - Epoch(train) [243][3600/3757] lr: 7.3612e-04 eta: 5:30:15 time: 0.4157 data_time: 0.0170 memory: 13431 grad_norm: 8.3729 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1170 loss: 1.1170 2022/08/17 15:52:00 - mmengine - INFO - Epoch(train) [243][3700/3757] lr: 7.3612e-04 eta: 5:29:35 time: 0.4115 data_time: 0.0157 memory: 13431 grad_norm: 8.5087 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3212 loss: 1.3212 2022/08/17 15:52:24 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 15:52:24 - mmengine - INFO - Epoch(train) [243][3757/3757] lr: 7.3612e-04 eta: 5:29:19 time: 0.4029 data_time: 0.0160 memory: 13431 grad_norm: 8.5970 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.2690 loss: 1.2690 2022/08/17 15:52:48 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 15:53:09 - mmengine - INFO - Epoch(train) [244][100/3757] lr: 6.3493e-04 eta: 5:28:31 time: 0.4091 data_time: 0.0167 memory: 13431 grad_norm: 8.4877 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0537 loss: 1.0537 2022/08/17 15:53:51 - mmengine - INFO - Epoch(train) [244][200/3757] lr: 6.3493e-04 eta: 5:27:51 time: 0.4205 data_time: 0.0157 memory: 13431 grad_norm: 8.8421 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0563 loss: 1.0563 2022/08/17 15:54:33 - mmengine - INFO - Epoch(train) [244][300/3757] lr: 6.3493e-04 eta: 5:27:11 time: 0.4127 data_time: 0.0167 memory: 13431 grad_norm: 8.4537 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1500 loss: 1.1500 2022/08/17 15:55:16 - mmengine - INFO - Epoch(train) [244][400/3757] lr: 6.3493e-04 eta: 5:26:30 time: 0.4212 data_time: 0.0174 memory: 13431 grad_norm: 8.7124 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3175 loss: 1.3175 2022/08/17 15:55:58 - mmengine - INFO - Epoch(train) [244][500/3757] lr: 6.3493e-04 eta: 5:25:50 time: 0.4113 data_time: 0.0158 memory: 13431 grad_norm: 8.6936 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1911 loss: 1.1911 2022/08/17 15:56:40 - mmengine - INFO - Epoch(train) [244][600/3757] lr: 6.3493e-04 eta: 5:25:10 time: 0.4095 data_time: 0.0166 memory: 13431 grad_norm: 8.6448 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0001 loss: 1.0001 2022/08/17 15:57:23 - mmengine - INFO - Epoch(train) [244][700/3757] lr: 6.3493e-04 eta: 5:24:29 time: 0.4117 data_time: 0.0164 memory: 13431 grad_norm: 8.7844 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4092 loss: 1.4092 2022/08/17 15:58:05 - mmengine - INFO - Epoch(train) [244][800/3757] lr: 6.3493e-04 eta: 5:23:49 time: 0.4155 data_time: 0.0165 memory: 13431 grad_norm: 8.6093 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1352 loss: 1.1352 2022/08/17 15:58:47 - mmengine - INFO - Epoch(train) [244][900/3757] lr: 6.3493e-04 eta: 5:23:08 time: 0.4104 data_time: 0.0165 memory: 13431 grad_norm: 8.7590 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2856 loss: 1.2856 2022/08/17 15:59:29 - mmengine - INFO - Epoch(train) [244][1000/3757] lr: 6.3493e-04 eta: 5:22:28 time: 0.4136 data_time: 0.0151 memory: 13431 grad_norm: 8.3759 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1738 loss: 1.1738 2022/08/17 15:59:50 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 16:00:12 - mmengine - INFO - Epoch(train) [244][1100/3757] lr: 6.3493e-04 eta: 5:21:48 time: 0.4528 data_time: 0.0190 memory: 13431 grad_norm: 8.5277 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2280 loss: 1.2280 2022/08/17 16:00:54 - mmengine - INFO - Epoch(train) [244][1200/3757] lr: 6.3493e-04 eta: 5:21:07 time: 0.4268 data_time: 0.0184 memory: 13431 grad_norm: 8.7057 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2943 loss: 1.2943 2022/08/17 16:01:36 - mmengine - INFO - Epoch(train) [244][1300/3757] lr: 6.3493e-04 eta: 5:20:27 time: 0.4189 data_time: 0.0172 memory: 13431 grad_norm: 8.5848 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2916 loss: 1.2916 2022/08/17 16:02:18 - mmengine - INFO - Epoch(train) [244][1400/3757] lr: 6.3493e-04 eta: 5:19:47 time: 0.4085 data_time: 0.0154 memory: 13431 grad_norm: 8.6029 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2214 loss: 1.2214 2022/08/17 16:03:00 - mmengine - INFO - Epoch(train) [244][1500/3757] lr: 6.3493e-04 eta: 5:19:06 time: 0.4207 data_time: 0.0159 memory: 13431 grad_norm: 8.5932 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2351 loss: 1.2351 2022/08/17 16:03:42 - mmengine - INFO - Epoch(train) [244][1600/3757] lr: 6.3493e-04 eta: 5:18:26 time: 0.4140 data_time: 0.0162 memory: 13431 grad_norm: 8.7067 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3598 loss: 1.3598 2022/08/17 16:04:24 - mmengine - INFO - Epoch(train) [244][1700/3757] lr: 6.3493e-04 eta: 5:17:46 time: 0.4223 data_time: 0.0156 memory: 13431 grad_norm: 8.6234 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3946 loss: 1.3946 2022/08/17 16:05:07 - mmengine - INFO - Epoch(train) [244][1800/3757] lr: 6.3493e-04 eta: 5:17:05 time: 0.4290 data_time: 0.0174 memory: 13431 grad_norm: 8.5786 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2084 loss: 1.2084 2022/08/17 16:05:49 - mmengine - INFO - Epoch(train) [244][1900/3757] lr: 6.3493e-04 eta: 5:16:25 time: 0.4097 data_time: 0.0151 memory: 13431 grad_norm: 8.3311 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9546 loss: 0.9546 2022/08/17 16:06:32 - mmengine - INFO - Epoch(train) [244][2000/3757] lr: 6.3493e-04 eta: 5:15:44 time: 0.4142 data_time: 0.0160 memory: 13431 grad_norm: 8.5777 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1902 loss: 1.1902 2022/08/17 16:06:53 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 16:07:14 - mmengine - INFO - Epoch(train) [244][2100/3757] lr: 6.3493e-04 eta: 5:15:04 time: 0.4196 data_time: 0.0164 memory: 13431 grad_norm: 8.3584 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0229 loss: 1.0229 2022/08/17 16:07:56 - mmengine - INFO - Epoch(train) [244][2200/3757] lr: 6.3493e-04 eta: 5:14:24 time: 0.4173 data_time: 0.0161 memory: 13431 grad_norm: 9.0415 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3077 loss: 1.3077 2022/08/17 16:08:38 - mmengine - INFO - Epoch(train) [244][2300/3757] lr: 6.3493e-04 eta: 5:13:43 time: 0.4329 data_time: 0.0170 memory: 13431 grad_norm: 8.7552 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3091 loss: 1.3091 2022/08/17 16:09:21 - mmengine - INFO - Epoch(train) [244][2400/3757] lr: 6.3493e-04 eta: 5:13:03 time: 0.4113 data_time: 0.0152 memory: 13431 grad_norm: 8.5265 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0901 loss: 1.0901 2022/08/17 16:10:03 - mmengine - INFO - Epoch(train) [244][2500/3757] lr: 6.3493e-04 eta: 5:12:23 time: 0.4287 data_time: 0.0173 memory: 13431 grad_norm: 8.7581 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0588 loss: 1.0588 2022/08/17 16:10:47 - mmengine - INFO - Epoch(train) [244][2600/3757] lr: 6.3493e-04 eta: 5:11:42 time: 0.4673 data_time: 0.0173 memory: 13431 grad_norm: 8.8039 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1889 loss: 1.1889 2022/08/17 16:11:30 - mmengine - INFO - Epoch(train) [244][2700/3757] lr: 6.3493e-04 eta: 5:11:02 time: 0.4117 data_time: 0.0163 memory: 13431 grad_norm: 8.3035 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8420 loss: 0.8420 2022/08/17 16:12:13 - mmengine - INFO - Epoch(train) [244][2800/3757] lr: 6.3493e-04 eta: 5:10:22 time: 0.4166 data_time: 0.0169 memory: 13431 grad_norm: 8.6853 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2296 loss: 1.2296 2022/08/17 16:12:55 - mmengine - INFO - Epoch(train) [244][2900/3757] lr: 6.3493e-04 eta: 5:09:41 time: 0.4173 data_time: 0.0156 memory: 13431 grad_norm: 8.3790 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1009 loss: 1.1009 2022/08/17 16:13:37 - mmengine - INFO - Epoch(train) [244][3000/3757] lr: 6.3493e-04 eta: 5:09:01 time: 0.4251 data_time: 0.0174 memory: 13431 grad_norm: 8.9648 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1629 loss: 1.1629 2022/08/17 16:13:58 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 16:14:19 - mmengine - INFO - Epoch(train) [244][3100/3757] lr: 6.3493e-04 eta: 5:08:21 time: 0.4274 data_time: 0.0191 memory: 13431 grad_norm: 8.9463 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0416 loss: 1.0416 2022/08/17 16:15:02 - mmengine - INFO - Epoch(train) [244][3200/3757] lr: 6.3493e-04 eta: 5:07:40 time: 0.4127 data_time: 0.0160 memory: 13431 grad_norm: 8.7396 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3395 loss: 1.3395 2022/08/17 16:15:46 - mmengine - INFO - Epoch(train) [244][3300/3757] lr: 6.3493e-04 eta: 5:07:00 time: 0.4709 data_time: 0.0184 memory: 13431 grad_norm: 8.9055 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3957 loss: 1.3957 2022/08/17 16:16:28 - mmengine - INFO - Epoch(train) [244][3400/3757] lr: 6.3493e-04 eta: 5:06:20 time: 0.4248 data_time: 0.0162 memory: 13431 grad_norm: 8.8896 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0765 loss: 1.0765 2022/08/17 16:17:10 - mmengine - INFO - Epoch(train) [244][3500/3757] lr: 6.3493e-04 eta: 5:05:39 time: 0.4120 data_time: 0.0163 memory: 13431 grad_norm: 8.7655 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0932 loss: 1.0932 2022/08/17 16:17:53 - mmengine - INFO - Epoch(train) [244][3600/3757] lr: 6.3493e-04 eta: 5:04:59 time: 0.4098 data_time: 0.0167 memory: 13431 grad_norm: 9.0212 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2571 loss: 1.2571 2022/08/17 16:18:35 - mmengine - INFO - Epoch(train) [244][3700/3757] lr: 6.3493e-04 eta: 5:04:18 time: 0.4232 data_time: 0.0161 memory: 13431 grad_norm: 8.6549 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0984 loss: 1.0984 2022/08/17 16:18:59 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 16:18:59 - mmengine - INFO - Epoch(train) [244][3757/3757] lr: 6.3493e-04 eta: 5:04:02 time: 0.4075 data_time: 0.0140 memory: 13431 grad_norm: 8.4025 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 0.9012 loss: 0.9012 2022/08/17 16:18:59 - mmengine - INFO - Saving checkpoint at 244 epochs 2022/08/17 16:19:50 - mmengine - INFO - Epoch(train) [245][100/3757] lr: 5.4117e-04 eta: 5:03:15 time: 0.4626 data_time: 0.0192 memory: 13431 grad_norm: 8.8663 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1870 loss: 1.1870 2022/08/17 16:20:33 - mmengine - INFO - Epoch(train) [245][200/3757] lr: 5.4117e-04 eta: 5:02:35 time: 0.4205 data_time: 0.0180 memory: 13431 grad_norm: 8.1773 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4105 loss: 1.4105 2022/08/17 16:21:13 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 16:21:16 - mmengine - INFO - Epoch(train) [245][300/3757] lr: 5.4117e-04 eta: 5:01:54 time: 0.4350 data_time: 0.0177 memory: 13431 grad_norm: 8.4593 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2563 loss: 1.2563 2022/08/17 16:21:58 - mmengine - INFO - Epoch(train) [245][400/3757] lr: 5.4117e-04 eta: 5:01:14 time: 0.4126 data_time: 0.0161 memory: 13431 grad_norm: 8.4308 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2894 loss: 1.2894 2022/08/17 16:22:41 - mmengine - INFO - Epoch(train) [245][500/3757] lr: 5.4117e-04 eta: 5:00:33 time: 0.4112 data_time: 0.0163 memory: 13431 grad_norm: 8.7002 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0900 loss: 1.0900 2022/08/17 16:23:24 - mmengine - INFO - Epoch(train) [245][600/3757] lr: 5.4117e-04 eta: 4:59:53 time: 0.4125 data_time: 0.0160 memory: 13431 grad_norm: 8.4725 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2437 loss: 1.2437 2022/08/17 16:24:07 - mmengine - INFO - Epoch(train) [245][700/3757] lr: 5.4117e-04 eta: 4:59:13 time: 0.4222 data_time: 0.0164 memory: 13431 grad_norm: 8.9385 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4190 loss: 1.4190 2022/08/17 16:24:50 - mmengine - INFO - Epoch(train) [245][800/3757] lr: 5.4117e-04 eta: 4:58:32 time: 0.4375 data_time: 0.0192 memory: 13431 grad_norm: 8.7389 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1577 loss: 1.1577 2022/08/17 16:25:34 - mmengine - INFO - Epoch(train) [245][900/3757] lr: 5.4117e-04 eta: 4:57:52 time: 0.4172 data_time: 0.0169 memory: 13431 grad_norm: 8.3786 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3733 loss: 1.3733 2022/08/17 16:26:16 - mmengine - INFO - Epoch(train) [245][1000/3757] lr: 5.4117e-04 eta: 4:57:12 time: 0.4180 data_time: 0.0163 memory: 13431 grad_norm: 8.5674 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0351 loss: 1.0351 2022/08/17 16:26:58 - mmengine - INFO - Epoch(train) [245][1100/3757] lr: 5.4117e-04 eta: 4:56:31 time: 0.4106 data_time: 0.0161 memory: 13431 grad_norm: 8.9110 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5887 loss: 1.5887 2022/08/17 16:27:39 - mmengine - INFO - Epoch(train) [245][1200/3757] lr: 5.4117e-04 eta: 4:55:51 time: 0.4110 data_time: 0.0162 memory: 13431 grad_norm: 8.8531 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2007 loss: 1.2007 2022/08/17 16:28:19 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 16:28:23 - mmengine - INFO - Epoch(train) [245][1300/3757] lr: 5.4117e-04 eta: 4:55:11 time: 0.4184 data_time: 0.0174 memory: 13431 grad_norm: 8.7671 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5279 loss: 1.5279 2022/08/17 16:29:06 - mmengine - INFO - Epoch(train) [245][1400/3757] lr: 5.4117e-04 eta: 4:54:30 time: 0.4106 data_time: 0.0162 memory: 13431 grad_norm: 8.9712 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3108 loss: 1.3108 2022/08/17 16:29:49 - mmengine - INFO - Epoch(train) [245][1500/3757] lr: 5.4117e-04 eta: 4:53:50 time: 0.4195 data_time: 0.0157 memory: 13431 grad_norm: 8.7040 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1365 loss: 1.1365 2022/08/17 16:30:33 - mmengine - INFO - Epoch(train) [245][1600/3757] lr: 5.4117e-04 eta: 4:53:10 time: 0.4323 data_time: 0.0158 memory: 13431 grad_norm: 9.0348 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1754 loss: 1.1754 2022/08/17 16:31:15 - mmengine - INFO - Epoch(train) [245][1700/3757] lr: 5.4117e-04 eta: 4:52:29 time: 0.4143 data_time: 0.0172 memory: 13431 grad_norm: 8.4437 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1501 loss: 1.1501 2022/08/17 16:31:57 - mmengine - INFO - Epoch(train) [245][1800/3757] lr: 5.4117e-04 eta: 4:51:49 time: 0.4126 data_time: 0.0188 memory: 13431 grad_norm: 8.6805 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0022 loss: 1.0022 2022/08/17 16:32:38 - mmengine - INFO - Epoch(train) [245][1900/3757] lr: 5.4117e-04 eta: 4:51:08 time: 0.4233 data_time: 0.0178 memory: 13431 grad_norm: 8.6200 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5169 loss: 1.5169 2022/08/17 16:33:20 - mmengine - INFO - Epoch(train) [245][2000/3757] lr: 5.4117e-04 eta: 4:50:28 time: 0.4316 data_time: 0.0157 memory: 13431 grad_norm: 8.6392 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1264 loss: 1.1264 2022/08/17 16:34:02 - mmengine - INFO - Epoch(train) [245][2100/3757] lr: 5.4117e-04 eta: 4:49:48 time: 0.4098 data_time: 0.0156 memory: 13431 grad_norm: 8.9541 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0280 loss: 1.0280 2022/08/17 16:34:44 - mmengine - INFO - Epoch(train) [245][2200/3757] lr: 5.4117e-04 eta: 4:49:07 time: 0.4146 data_time: 0.0160 memory: 13431 grad_norm: 8.9412 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3599 loss: 1.3599 2022/08/17 16:35:23 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 16:35:27 - mmengine - INFO - Epoch(train) [245][2300/3757] lr: 5.4117e-04 eta: 4:48:27 time: 0.4242 data_time: 0.0176 memory: 13431 grad_norm: 8.8608 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5504 loss: 1.5504 2022/08/17 16:36:09 - mmengine - INFO - Epoch(train) [245][2400/3757] lr: 5.4117e-04 eta: 4:47:47 time: 0.4113 data_time: 0.0173 memory: 13431 grad_norm: 8.7421 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0112 loss: 1.0112 2022/08/17 16:36:52 - mmengine - INFO - Epoch(train) [245][2500/3757] lr: 5.4117e-04 eta: 4:47:06 time: 0.4102 data_time: 0.0168 memory: 13431 grad_norm: 8.9813 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3735 loss: 1.3735 2022/08/17 16:37:34 - mmengine - INFO - Epoch(train) [245][2600/3757] lr: 5.4117e-04 eta: 4:46:26 time: 0.4235 data_time: 0.0166 memory: 13431 grad_norm: 8.7048 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1637 loss: 1.1637 2022/08/17 16:38:16 - mmengine - INFO - Epoch(train) [245][2700/3757] lr: 5.4117e-04 eta: 4:45:45 time: 0.4267 data_time: 0.0172 memory: 13431 grad_norm: 8.4584 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1565 loss: 1.1565 2022/08/17 16:38:59 - mmengine - INFO - Epoch(train) [245][2800/3757] lr: 5.4117e-04 eta: 4:45:05 time: 0.4134 data_time: 0.0161 memory: 13431 grad_norm: 8.5978 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3159 loss: 1.3159 2022/08/17 16:39:41 - mmengine - INFO - Epoch(train) [245][2900/3757] lr: 5.4117e-04 eta: 4:44:25 time: 0.4127 data_time: 0.0168 memory: 13431 grad_norm: 8.8266 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1255 loss: 1.1255 2022/08/17 16:40:23 - mmengine - INFO - Epoch(train) [245][3000/3757] lr: 5.4117e-04 eta: 4:43:44 time: 0.4160 data_time: 0.0179 memory: 13431 grad_norm: 8.8406 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9298 loss: 0.9298 2022/08/17 16:41:07 - mmengine - INFO - Epoch(train) [245][3100/3757] lr: 5.4117e-04 eta: 4:43:04 time: 0.4332 data_time: 0.0164 memory: 13431 grad_norm: 8.4377 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2534 loss: 1.2534 2022/08/17 16:41:49 - mmengine - INFO - Epoch(train) [245][3200/3757] lr: 5.4117e-04 eta: 4:42:24 time: 0.4177 data_time: 0.0160 memory: 13431 grad_norm: 8.5011 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2025 loss: 1.2025 2022/08/17 16:42:28 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 16:42:32 - mmengine - INFO - Epoch(train) [245][3300/3757] lr: 5.4117e-04 eta: 4:41:43 time: 0.4376 data_time: 0.0178 memory: 13431 grad_norm: 8.7561 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2487 loss: 1.2487 2022/08/17 16:43:15 - mmengine - INFO - Epoch(train) [245][3400/3757] lr: 5.4117e-04 eta: 4:41:03 time: 0.4175 data_time: 0.0154 memory: 13431 grad_norm: 8.8588 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2998 loss: 1.2998 2022/08/17 16:43:58 - mmengine - INFO - Epoch(train) [245][3500/3757] lr: 5.4117e-04 eta: 4:40:23 time: 0.4352 data_time: 0.0173 memory: 13431 grad_norm: 8.8046 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0903 loss: 1.0903 2022/08/17 16:44:41 - mmengine - INFO - Epoch(train) [245][3600/3757] lr: 5.4117e-04 eta: 4:39:42 time: 0.4135 data_time: 0.0152 memory: 13431 grad_norm: 8.3526 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9389 loss: 0.9389 2022/08/17 16:45:23 - mmengine - INFO - Epoch(train) [245][3700/3757] lr: 5.4117e-04 eta: 4:39:02 time: 0.4113 data_time: 0.0163 memory: 13431 grad_norm: 8.8907 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3329 loss: 1.3329 2022/08/17 16:45:49 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 16:45:49 - mmengine - INFO - Epoch(train) [245][3757/3757] lr: 5.4117e-04 eta: 4:38:46 time: 0.4390 data_time: 0.0171 memory: 13431 grad_norm: 8.9154 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.1259 loss: 1.1259 2022/08/17 16:46:11 - mmengine - INFO - Epoch(val) [245][100/310] eta: 0:00:45 time: 0.2170 data_time: 0.0884 memory: 1974 2022/08/17 16:46:33 - mmengine - INFO - Epoch(val) [245][200/310] eta: 0:00:21 time: 0.1930 data_time: 0.0634 memory: 1974 2022/08/17 16:46:54 - mmengine - INFO - Epoch(val) [245][300/310] eta: 0:00:02 time: 0.2045 data_time: 0.0770 memory: 1974 2022/08/17 16:46:58 - mmengine - INFO - Epoch(val) [245][310/310] acc/top1: 0.7082 acc/top5: 0.8914 acc/mean1: 0.7081 2022/08/17 16:46:58 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_241.pth is removed 2022/08/17 16:47:03 - mmengine - INFO - The best checkpoint with 0.7082 acc/top1 at 246 epoch is saved to best_acc/top1_epoch_246.pth. 2022/08/17 16:47:46 - mmengine - INFO - Epoch(train) [246][100/3757] lr: 4.5487e-04 eta: 4:37:58 time: 0.4184 data_time: 0.0148 memory: 13431 grad_norm: 8.7565 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2388 loss: 1.2388 2022/08/17 16:48:28 - mmengine - INFO - Epoch(train) [246][200/3757] lr: 4.5487e-04 eta: 4:37:18 time: 0.4113 data_time: 0.0161 memory: 13431 grad_norm: 9.0830 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3420 loss: 1.3420 2022/08/17 16:49:11 - mmengine - INFO - Epoch(train) [246][300/3757] lr: 4.5487e-04 eta: 4:36:37 time: 0.4125 data_time: 0.0158 memory: 13431 grad_norm: 8.8455 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0895 loss: 1.0895 2022/08/17 16:49:53 - mmengine - INFO - Epoch(train) [246][400/3757] lr: 4.5487e-04 eta: 4:35:57 time: 0.4113 data_time: 0.0183 memory: 13431 grad_norm: 9.0691 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0679 loss: 1.0679 2022/08/17 16:50:36 - mmengine - INFO - Epoch(train) [246][500/3757] lr: 4.5487e-04 eta: 4:35:17 time: 0.4140 data_time: 0.0167 memory: 13431 grad_norm: 8.9122 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1845 loss: 1.1845 2022/08/17 16:50:50 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 16:51:18 - mmengine - INFO - Epoch(train) [246][600/3757] lr: 4.5487e-04 eta: 4:34:36 time: 0.4231 data_time: 0.0172 memory: 13431 grad_norm: 9.1707 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2142 loss: 1.2142 2022/08/17 16:52:00 - mmengine - INFO - Epoch(train) [246][700/3757] lr: 4.5487e-04 eta: 4:33:56 time: 0.4339 data_time: 0.0182 memory: 13431 grad_norm: 8.6207 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0213 loss: 1.0213 2022/08/17 16:52:43 - mmengine - INFO - Epoch(train) [246][800/3757] lr: 4.5487e-04 eta: 4:33:16 time: 0.4758 data_time: 0.0223 memory: 13431 grad_norm: 8.7760 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1419 loss: 1.1419 2022/08/17 16:53:26 - mmengine - INFO - Epoch(train) [246][900/3757] lr: 4.5487e-04 eta: 4:32:35 time: 0.4287 data_time: 0.0169 memory: 13431 grad_norm: 8.6966 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1363 loss: 1.1363 2022/08/17 16:54:08 - mmengine - INFO - Epoch(train) [246][1000/3757] lr: 4.5487e-04 eta: 4:31:55 time: 0.4239 data_time: 0.0165 memory: 13431 grad_norm: 8.6832 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0891 loss: 1.0891 2022/08/17 16:54:50 - mmengine - INFO - Epoch(train) [246][1100/3757] lr: 4.5487e-04 eta: 4:31:14 time: 0.4218 data_time: 0.0174 memory: 13431 grad_norm: 9.1933 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1163 loss: 1.1163 2022/08/17 16:55:33 - mmengine - INFO - Epoch(train) [246][1200/3757] lr: 4.5487e-04 eta: 4:30:34 time: 0.4302 data_time: 0.0178 memory: 13431 grad_norm: 9.0789 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.2829 loss: 1.2829 2022/08/17 16:56:15 - mmengine - INFO - Epoch(train) [246][1300/3757] lr: 4.5487e-04 eta: 4:29:54 time: 0.4225 data_time: 0.0156 memory: 13431 grad_norm: 8.7984 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3500 loss: 1.3500 2022/08/17 16:56:58 - mmengine - INFO - Epoch(train) [246][1400/3757] lr: 4.5487e-04 eta: 4:29:13 time: 0.4289 data_time: 0.0160 memory: 13431 grad_norm: 8.9666 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1282 loss: 1.1282 2022/08/17 16:57:40 - mmengine - INFO - Epoch(train) [246][1500/3757] lr: 4.5487e-04 eta: 4:28:33 time: 0.4307 data_time: 0.0175 memory: 13431 grad_norm: 8.5727 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5345 loss: 1.5345 2022/08/17 16:57:55 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 16:58:22 - mmengine - INFO - Epoch(train) [246][1600/3757] lr: 4.5487e-04 eta: 4:27:52 time: 0.4268 data_time: 0.0180 memory: 13431 grad_norm: 9.4492 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1018 loss: 1.1018 2022/08/17 16:59:05 - mmengine - INFO - Epoch(train) [246][1700/3757] lr: 4.5487e-04 eta: 4:27:12 time: 0.4090 data_time: 0.0158 memory: 13431 grad_norm: 9.3048 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2352 loss: 1.2352 2022/08/17 16:59:47 - mmengine - INFO - Epoch(train) [246][1800/3757] lr: 4.5487e-04 eta: 4:26:32 time: 0.4350 data_time: 0.0189 memory: 13431 grad_norm: 8.6422 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1655 loss: 1.1655 2022/08/17 17:00:29 - mmengine - INFO - Epoch(train) [246][1900/3757] lr: 4.5487e-04 eta: 4:25:51 time: 0.4099 data_time: 0.0167 memory: 13431 grad_norm: 8.8165 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0777 loss: 1.0777 2022/08/17 17:01:13 - mmengine - INFO - Epoch(train) [246][2000/3757] lr: 4.5487e-04 eta: 4:25:11 time: 0.4305 data_time: 0.0157 memory: 13431 grad_norm: 9.0854 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3913 loss: 1.3913 2022/08/17 17:01:56 - mmengine - INFO - Epoch(train) [246][2100/3757] lr: 4.5487e-04 eta: 4:24:31 time: 0.4097 data_time: 0.0155 memory: 13431 grad_norm: 8.7739 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9001 loss: 0.9001 2022/08/17 17:02:39 - mmengine - INFO - Epoch(train) [246][2200/3757] lr: 4.5487e-04 eta: 4:23:50 time: 0.4105 data_time: 0.0159 memory: 13431 grad_norm: 9.2579 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3838 loss: 1.3838 2022/08/17 17:03:22 - mmengine - INFO - Epoch(train) [246][2300/3757] lr: 4.5487e-04 eta: 4:23:10 time: 0.4212 data_time: 0.0174 memory: 13431 grad_norm: 8.9001 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0053 loss: 1.0053 2022/08/17 17:04:04 - mmengine - INFO - Epoch(train) [246][2400/3757] lr: 4.5487e-04 eta: 4:22:29 time: 0.4131 data_time: 0.0150 memory: 13431 grad_norm: 8.6768 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9474 loss: 0.9474 2022/08/17 17:04:47 - mmengine - INFO - Epoch(train) [246][2500/3757] lr: 4.5487e-04 eta: 4:21:49 time: 0.4285 data_time: 0.0177 memory: 13431 grad_norm: 9.0405 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1473 loss: 1.1473 2022/08/17 17:05:01 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 17:05:29 - mmengine - INFO - Epoch(train) [246][2600/3757] lr: 4.5487e-04 eta: 4:21:09 time: 0.4117 data_time: 0.0166 memory: 13431 grad_norm: 9.0033 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4053 loss: 1.4053 2022/08/17 17:06:11 - mmengine - INFO - Epoch(train) [246][2700/3757] lr: 4.5487e-04 eta: 4:20:28 time: 0.4167 data_time: 0.0173 memory: 13431 grad_norm: 9.2464 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4353 loss: 1.4353 2022/08/17 17:06:54 - mmengine - INFO - Epoch(train) [246][2800/3757] lr: 4.5487e-04 eta: 4:19:48 time: 0.4255 data_time: 0.0185 memory: 13431 grad_norm: 9.1264 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6684 loss: 1.6684 2022/08/17 17:07:36 - mmengine - INFO - Epoch(train) [246][2900/3757] lr: 4.5487e-04 eta: 4:19:07 time: 0.4122 data_time: 0.0164 memory: 13431 grad_norm: 8.8548 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2990 loss: 1.2990 2022/08/17 17:08:18 - mmengine - INFO - Epoch(train) [246][3000/3757] lr: 4.5487e-04 eta: 4:18:27 time: 0.4118 data_time: 0.0154 memory: 13431 grad_norm: 8.3739 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1738 loss: 1.1738 2022/08/17 17:09:02 - mmengine - INFO - Epoch(train) [246][3100/3757] lr: 4.5487e-04 eta: 4:17:47 time: 0.4121 data_time: 0.0168 memory: 13431 grad_norm: 8.6976 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3255 loss: 1.3255 2022/08/17 17:09:46 - mmengine - INFO - Epoch(train) [246][3200/3757] lr: 4.5487e-04 eta: 4:17:06 time: 0.4717 data_time: 0.0180 memory: 13431 grad_norm: 8.8615 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9805 loss: 0.9805 2022/08/17 17:10:28 - mmengine - INFO - Epoch(train) [246][3300/3757] lr: 4.5487e-04 eta: 4:16:26 time: 0.4105 data_time: 0.0164 memory: 13431 grad_norm: 9.0180 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1862 loss: 1.1862 2022/08/17 17:11:11 - mmengine - INFO - Epoch(train) [246][3400/3757] lr: 4.5487e-04 eta: 4:15:46 time: 0.4191 data_time: 0.0160 memory: 13431 grad_norm: 8.8037 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2022 loss: 1.2022 2022/08/17 17:11:53 - mmengine - INFO - Epoch(train) [246][3500/3757] lr: 4.5487e-04 eta: 4:15:05 time: 0.4353 data_time: 0.0171 memory: 13431 grad_norm: 8.8211 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1963 loss: 1.1963 2022/08/17 17:12:08 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 17:12:36 - mmengine - INFO - Epoch(train) [246][3600/3757] lr: 4.5487e-04 eta: 4:14:25 time: 0.4090 data_time: 0.0150 memory: 13431 grad_norm: 8.4803 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9881 loss: 0.9881 2022/08/17 17:13:19 - mmengine - INFO - Epoch(train) [246][3700/3757] lr: 4.5487e-04 eta: 4:13:45 time: 0.4115 data_time: 0.0162 memory: 13431 grad_norm: 8.8316 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1329 loss: 1.1329 2022/08/17 17:13:43 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 17:13:43 - mmengine - INFO - Epoch(train) [246][3757/3757] lr: 4.5487e-04 eta: 4:13:28 time: 0.4064 data_time: 0.0162 memory: 13431 grad_norm: 9.2746 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.2032 loss: 1.2032 2022/08/17 17:14:27 - mmengine - INFO - Epoch(train) [247][100/3757] lr: 3.7602e-04 eta: 4:12:41 time: 0.4210 data_time: 0.0160 memory: 13431 grad_norm: 8.7474 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9620 loss: 0.9620 2022/08/17 17:15:10 - mmengine - INFO - Epoch(train) [247][200/3757] lr: 3.7602e-04 eta: 4:12:01 time: 0.4123 data_time: 0.0155 memory: 13431 grad_norm: 8.8026 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1567 loss: 1.1567 2022/08/17 17:15:52 - mmengine - INFO - Epoch(train) [247][300/3757] lr: 3.7602e-04 eta: 4:11:20 time: 0.4113 data_time: 0.0162 memory: 13431 grad_norm: 8.9543 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2095 loss: 1.2095 2022/08/17 17:16:35 - mmengine - INFO - Epoch(train) [247][400/3757] lr: 3.7602e-04 eta: 4:10:40 time: 0.4193 data_time: 0.0157 memory: 13431 grad_norm: 8.9381 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0800 loss: 1.0800 2022/08/17 17:17:17 - mmengine - INFO - Epoch(train) [247][500/3757] lr: 3.7602e-04 eta: 4:09:59 time: 0.4097 data_time: 0.0156 memory: 13431 grad_norm: 9.3378 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2984 loss: 1.2984 2022/08/17 17:18:00 - mmengine - INFO - Epoch(train) [247][600/3757] lr: 3.7602e-04 eta: 4:09:19 time: 0.4117 data_time: 0.0162 memory: 13431 grad_norm: 9.1582 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2345 loss: 1.2345 2022/08/17 17:18:42 - mmengine - INFO - Epoch(train) [247][700/3757] lr: 3.7602e-04 eta: 4:08:39 time: 0.4123 data_time: 0.0165 memory: 13431 grad_norm: 8.8748 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3917 loss: 1.3917 2022/08/17 17:19:15 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 17:19:24 - mmengine - INFO - Epoch(train) [247][800/3757] lr: 3.7602e-04 eta: 4:07:58 time: 0.4317 data_time: 0.0174 memory: 13431 grad_norm: 8.9531 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1407 loss: 1.1407 2022/08/17 17:20:07 - mmengine - INFO - Epoch(train) [247][900/3757] lr: 3.7602e-04 eta: 4:07:18 time: 0.4108 data_time: 0.0152 memory: 13431 grad_norm: 8.8137 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2891 loss: 1.2891 2022/08/17 17:20:49 - mmengine - INFO - Epoch(train) [247][1000/3757] lr: 3.7602e-04 eta: 4:06:37 time: 0.4125 data_time: 0.0171 memory: 13431 grad_norm: 9.3983 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3008 loss: 1.3008 2022/08/17 17:21:31 - mmengine - INFO - Epoch(train) [247][1100/3757] lr: 3.7602e-04 eta: 4:05:57 time: 0.4150 data_time: 0.0157 memory: 13431 grad_norm: 8.9243 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2328 loss: 1.2328 2022/08/17 17:22:15 - mmengine - INFO - Epoch(train) [247][1200/3757] lr: 3.7602e-04 eta: 4:05:17 time: 0.4145 data_time: 0.0155 memory: 13431 grad_norm: 9.1667 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4521 loss: 1.4521 2022/08/17 17:22:57 - mmengine - INFO - Epoch(train) [247][1300/3757] lr: 3.7602e-04 eta: 4:04:36 time: 0.4107 data_time: 0.0161 memory: 13431 grad_norm: 9.1539 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1159 loss: 1.1159 2022/08/17 17:23:39 - mmengine - INFO - Epoch(train) [247][1400/3757] lr: 3.7602e-04 eta: 4:03:56 time: 0.4311 data_time: 0.0163 memory: 13431 grad_norm: 8.8561 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1465 loss: 1.1465 2022/08/17 17:24:21 - mmengine - INFO - Epoch(train) [247][1500/3757] lr: 3.7602e-04 eta: 4:03:15 time: 0.4216 data_time: 0.0154 memory: 13431 grad_norm: 8.5680 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0279 loss: 1.0279 2022/08/17 17:25:05 - mmengine - INFO - Epoch(train) [247][1600/3757] lr: 3.7602e-04 eta: 4:02:35 time: 0.4105 data_time: 0.0182 memory: 13431 grad_norm: 8.9286 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5055 loss: 1.5055 2022/08/17 17:25:47 - mmengine - INFO - Epoch(train) [247][1700/3757] lr: 3.7602e-04 eta: 4:01:55 time: 0.4102 data_time: 0.0155 memory: 13431 grad_norm: 9.2776 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.4619 loss: 1.4619 2022/08/17 17:26:20 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 17:26:29 - mmengine - INFO - Epoch(train) [247][1800/3757] lr: 3.7602e-04 eta: 4:01:14 time: 0.4117 data_time: 0.0158 memory: 13431 grad_norm: 8.7560 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2232 loss: 1.2232 2022/08/17 17:27:12 - mmengine - INFO - Epoch(train) [247][1900/3757] lr: 3.7602e-04 eta: 4:00:34 time: 0.4493 data_time: 0.0187 memory: 13431 grad_norm: 8.5668 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2961 loss: 1.2961 2022/08/17 17:27:55 - mmengine - INFO - Epoch(train) [247][2000/3757] lr: 3.7602e-04 eta: 3:59:53 time: 0.4811 data_time: 0.0153 memory: 13431 grad_norm: 9.0453 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3075 loss: 1.3075 2022/08/17 17:28:37 - mmengine - INFO - Epoch(train) [247][2100/3757] lr: 3.7602e-04 eta: 3:59:13 time: 0.4194 data_time: 0.0164 memory: 13431 grad_norm: 8.7136 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8494 loss: 0.8494 2022/08/17 17:29:20 - mmengine - INFO - Epoch(train) [247][2200/3757] lr: 3.7602e-04 eta: 3:58:33 time: 0.4246 data_time: 0.0177 memory: 13431 grad_norm: 9.0778 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4102 loss: 1.4102 2022/08/17 17:30:02 - mmengine - INFO - Epoch(train) [247][2300/3757] lr: 3.7602e-04 eta: 3:57:52 time: 0.4233 data_time: 0.0182 memory: 13431 grad_norm: 8.7420 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1226 loss: 1.1226 2022/08/17 17:30:44 - mmengine - INFO - Epoch(train) [247][2400/3757] lr: 3.7602e-04 eta: 3:57:12 time: 0.4449 data_time: 0.0199 memory: 13431 grad_norm: 8.5439 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1359 loss: 1.1359 2022/08/17 17:31:26 - mmengine - INFO - Epoch(train) [247][2500/3757] lr: 3.7602e-04 eta: 3:56:31 time: 0.4262 data_time: 0.0183 memory: 13431 grad_norm: 8.8979 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2015 loss: 1.2015 2022/08/17 17:32:09 - mmengine - INFO - Epoch(train) [247][2600/3757] lr: 3.7602e-04 eta: 3:55:51 time: 0.4207 data_time: 0.0157 memory: 13431 grad_norm: 8.3676 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2804 loss: 1.2804 2022/08/17 17:32:51 - mmengine - INFO - Epoch(train) [247][2700/3757] lr: 3.7602e-04 eta: 3:55:11 time: 0.4190 data_time: 0.0174 memory: 13431 grad_norm: 9.2208 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0422 loss: 1.0422 2022/08/17 17:33:23 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 17:33:33 - mmengine - INFO - Epoch(train) [247][2800/3757] lr: 3.7602e-04 eta: 3:54:30 time: 0.4223 data_time: 0.0169 memory: 13431 grad_norm: 9.0993 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1340 loss: 1.1340 2022/08/17 17:34:15 - mmengine - INFO - Epoch(train) [247][2900/3757] lr: 3.7602e-04 eta: 3:53:50 time: 0.4391 data_time: 0.0169 memory: 13431 grad_norm: 9.1726 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3211 loss: 1.3211 2022/08/17 17:34:58 - mmengine - INFO - Epoch(train) [247][3000/3757] lr: 3.7602e-04 eta: 3:53:09 time: 0.4136 data_time: 0.0152 memory: 13431 grad_norm: 9.1369 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2934 loss: 1.2934 2022/08/17 17:35:40 - mmengine - INFO - Epoch(train) [247][3100/3757] lr: 3.7602e-04 eta: 3:52:29 time: 0.4118 data_time: 0.0155 memory: 13431 grad_norm: 8.9325 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1919 loss: 1.1919 2022/08/17 17:36:22 - mmengine - INFO - Epoch(train) [247][3200/3757] lr: 3.7602e-04 eta: 3:51:49 time: 0.4143 data_time: 0.0170 memory: 13431 grad_norm: 8.7703 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2065 loss: 1.2065 2022/08/17 17:37:04 - mmengine - INFO - Epoch(train) [247][3300/3757] lr: 3.7602e-04 eta: 3:51:08 time: 0.4291 data_time: 0.0173 memory: 13431 grad_norm: 9.0434 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4378 loss: 1.4378 2022/08/17 17:37:46 - mmengine - INFO - Epoch(train) [247][3400/3757] lr: 3.7602e-04 eta: 3:50:28 time: 0.4271 data_time: 0.0177 memory: 13431 grad_norm: 9.0331 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1069 loss: 1.1069 2022/08/17 17:38:28 - mmengine - INFO - Epoch(train) [247][3500/3757] lr: 3.7602e-04 eta: 3:49:47 time: 0.4177 data_time: 0.0158 memory: 13431 grad_norm: 9.1386 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7917 loss: 0.7917 2022/08/17 17:39:12 - mmengine - INFO - Epoch(train) [247][3600/3757] lr: 3.7602e-04 eta: 3:49:07 time: 0.4246 data_time: 0.0163 memory: 13431 grad_norm: 8.8751 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7615 loss: 0.7615 2022/08/17 17:39:55 - mmengine - INFO - Epoch(train) [247][3700/3757] lr: 3.7602e-04 eta: 3:48:27 time: 0.4288 data_time: 0.0175 memory: 13431 grad_norm: 9.0141 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2079 loss: 1.2079 2022/08/17 17:40:19 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 17:40:19 - mmengine - INFO - Epoch(train) [247][3757/3757] lr: 3.7602e-04 eta: 3:48:10 time: 0.4070 data_time: 0.0147 memory: 13431 grad_norm: 8.7756 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0344 loss: 1.0344 2022/08/17 17:40:31 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 17:41:05 - mmengine - INFO - Epoch(train) [248][100/3757] lr: 3.0465e-04 eta: 3:47:23 time: 0.4104 data_time: 0.0164 memory: 13431 grad_norm: 8.8595 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2852 loss: 1.2852 2022/08/17 17:41:49 - mmengine - INFO - Epoch(train) [248][200/3757] lr: 3.0465e-04 eta: 3:46:43 time: 0.4118 data_time: 0.0169 memory: 13431 grad_norm: 9.3790 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2250 loss: 1.2250 2022/08/17 17:42:32 - mmengine - INFO - Epoch(train) [248][300/3757] lr: 3.0465e-04 eta: 3:46:02 time: 0.4112 data_time: 0.0160 memory: 13431 grad_norm: 8.9873 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1177 loss: 1.1177 2022/08/17 17:43:14 - mmengine - INFO - Epoch(train) [248][400/3757] lr: 3.0465e-04 eta: 3:45:22 time: 0.4115 data_time: 0.0159 memory: 13431 grad_norm: 8.8468 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4439 loss: 1.4439 2022/08/17 17:43:56 - mmengine - INFO - Epoch(train) [248][500/3757] lr: 3.0465e-04 eta: 3:44:41 time: 0.4101 data_time: 0.0162 memory: 13431 grad_norm: 9.3047 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2680 loss: 1.2680 2022/08/17 17:44:40 - mmengine - INFO - Epoch(train) [248][600/3757] lr: 3.0465e-04 eta: 3:44:01 time: 0.4168 data_time: 0.0155 memory: 13431 grad_norm: 8.9423 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2943 loss: 1.2943 2022/08/17 17:45:22 - mmengine - INFO - Epoch(train) [248][700/3757] lr: 3.0465e-04 eta: 3:43:21 time: 0.4243 data_time: 0.0161 memory: 13431 grad_norm: 9.0623 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2222 loss: 1.2222 2022/08/17 17:46:05 - mmengine - INFO - Epoch(train) [248][800/3757] lr: 3.0465e-04 eta: 3:42:40 time: 0.4117 data_time: 0.0164 memory: 13431 grad_norm: 9.2355 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0864 loss: 1.0864 2022/08/17 17:46:47 - mmengine - INFO - Epoch(train) [248][900/3757] lr: 3.0465e-04 eta: 3:42:00 time: 0.4304 data_time: 0.0178 memory: 13431 grad_norm: 8.9460 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2210 loss: 1.2210 2022/08/17 17:47:30 - mmengine - INFO - Epoch(train) [248][1000/3757] lr: 3.0465e-04 eta: 3:41:19 time: 0.4112 data_time: 0.0156 memory: 13431 grad_norm: 8.5523 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1721 loss: 1.1721 2022/08/17 17:47:39 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 17:48:13 - mmengine - INFO - Epoch(train) [248][1100/3757] lr: 3.0465e-04 eta: 3:40:39 time: 0.4177 data_time: 0.0166 memory: 13431 grad_norm: 9.1183 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4901 loss: 1.4901 2022/08/17 17:48:55 - mmengine - INFO - Epoch(train) [248][1200/3757] lr: 3.0465e-04 eta: 3:39:59 time: 0.4095 data_time: 0.0156 memory: 13431 grad_norm: 9.2632 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1969 loss: 1.1969 2022/08/17 17:49:39 - mmengine - INFO - Epoch(train) [248][1300/3757] lr: 3.0465e-04 eta: 3:39:18 time: 0.4762 data_time: 0.0179 memory: 13431 grad_norm: 9.2154 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1022 loss: 1.1022 2022/08/17 17:50:21 - mmengine - INFO - Epoch(train) [248][1400/3757] lr: 3.0465e-04 eta: 3:38:38 time: 0.4177 data_time: 0.0199 memory: 13431 grad_norm: 8.8072 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1489 loss: 1.1489 2022/08/17 17:51:04 - mmengine - INFO - Epoch(train) [248][1500/3757] lr: 3.0465e-04 eta: 3:37:57 time: 0.4400 data_time: 0.0173 memory: 13431 grad_norm: 8.7787 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3146 loss: 1.3146 2022/08/17 17:51:47 - mmengine - INFO - Epoch(train) [248][1600/3757] lr: 3.0465e-04 eta: 3:37:17 time: 0.4354 data_time: 0.0178 memory: 13431 grad_norm: 8.6472 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9728 loss: 0.9728 2022/08/17 17:52:29 - mmengine - INFO - Epoch(train) [248][1700/3757] lr: 3.0465e-04 eta: 3:36:37 time: 0.4197 data_time: 0.0187 memory: 13431 grad_norm: 9.2190 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5267 loss: 1.5267 2022/08/17 17:53:11 - mmengine - INFO - Epoch(train) [248][1800/3757] lr: 3.0465e-04 eta: 3:35:56 time: 0.4214 data_time: 0.0169 memory: 13431 grad_norm: 8.6377 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9695 loss: 0.9695 2022/08/17 17:53:54 - mmengine - INFO - Epoch(train) [248][1900/3757] lr: 3.0465e-04 eta: 3:35:16 time: 0.4108 data_time: 0.0160 memory: 13431 grad_norm: 8.9233 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2885 loss: 1.2885 2022/08/17 17:54:37 - mmengine - INFO - Epoch(train) [248][2000/3757] lr: 3.0465e-04 eta: 3:34:35 time: 0.4475 data_time: 0.0170 memory: 13431 grad_norm: 8.8232 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1270 loss: 1.1270 2022/08/17 17:54:46 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 17:55:19 - mmengine - INFO - Epoch(train) [248][2100/3757] lr: 3.0465e-04 eta: 3:33:55 time: 0.4103 data_time: 0.0174 memory: 13431 grad_norm: 9.2035 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8522 loss: 0.8522 2022/08/17 17:56:03 - mmengine - INFO - Epoch(train) [248][2200/3757] lr: 3.0465e-04 eta: 3:33:15 time: 0.4957 data_time: 0.0190 memory: 13431 grad_norm: 9.1840 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0870 loss: 1.0870 2022/08/17 17:56:46 - mmengine - INFO - Epoch(train) [248][2300/3757] lr: 3.0465e-04 eta: 3:32:34 time: 0.4318 data_time: 0.0179 memory: 13431 grad_norm: 8.6582 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1033 loss: 1.1033 2022/08/17 17:57:28 - mmengine - INFO - Epoch(train) [248][2400/3757] lr: 3.0465e-04 eta: 3:31:54 time: 0.4374 data_time: 0.0178 memory: 13431 grad_norm: 8.9054 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3144 loss: 1.3144 2022/08/17 17:58:11 - mmengine - INFO - Epoch(train) [248][2500/3757] lr: 3.0465e-04 eta: 3:31:13 time: 0.4092 data_time: 0.0161 memory: 13431 grad_norm: 9.2207 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2025 loss: 1.2025 2022/08/17 17:58:54 - mmengine - INFO - Epoch(train) [248][2600/3757] lr: 3.0465e-04 eta: 3:30:33 time: 0.4331 data_time: 0.0182 memory: 13431 grad_norm: 8.8923 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1361 loss: 1.1361 2022/08/17 17:59:37 - mmengine - INFO - Epoch(train) [248][2700/3757] lr: 3.0465e-04 eta: 3:29:53 time: 0.4363 data_time: 0.0179 memory: 13431 grad_norm: 8.7452 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0655 loss: 1.0655 2022/08/17 18:00:23 - mmengine - INFO - Epoch(train) [248][2800/3757] lr: 3.0465e-04 eta: 3:29:12 time: 0.4166 data_time: 0.0148 memory: 13431 grad_norm: 8.9612 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1497 loss: 1.1497 2022/08/17 18:01:07 - mmengine - INFO - Epoch(train) [248][2900/3757] lr: 3.0465e-04 eta: 3:28:32 time: 0.4310 data_time: 0.0198 memory: 13431 grad_norm: 9.2972 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9483 loss: 0.9483 2022/08/17 18:01:50 - mmengine - INFO - Epoch(train) [248][3000/3757] lr: 3.0465e-04 eta: 3:27:51 time: 0.4221 data_time: 0.0165 memory: 13431 grad_norm: 8.8515 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1900 loss: 1.1900 2022/08/17 18:01:59 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 18:02:33 - mmengine - INFO - Epoch(train) [248][3100/3757] lr: 3.0465e-04 eta: 3:27:11 time: 0.4455 data_time: 0.0176 memory: 13431 grad_norm: 8.6834 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2721 loss: 1.2721 2022/08/17 18:03:15 - mmengine - INFO - Epoch(train) [248][3200/3757] lr: 3.0465e-04 eta: 3:26:31 time: 0.4279 data_time: 0.0180 memory: 13431 grad_norm: 8.9450 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9885 loss: 0.9885 2022/08/17 18:03:58 - mmengine - INFO - Epoch(train) [248][3300/3757] lr: 3.0465e-04 eta: 3:25:50 time: 0.4113 data_time: 0.0158 memory: 13431 grad_norm: 9.3424 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3085 loss: 1.3085 2022/08/17 18:04:42 - mmengine - INFO - Epoch(train) [248][3400/3757] lr: 3.0465e-04 eta: 3:25:10 time: 0.4176 data_time: 0.0176 memory: 13431 grad_norm: 8.8284 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9917 loss: 0.9917 2022/08/17 18:05:24 - mmengine - INFO - Epoch(train) [248][3500/3757] lr: 3.0465e-04 eta: 3:24:29 time: 0.4107 data_time: 0.0153 memory: 13431 grad_norm: 8.8852 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0914 loss: 1.0914 2022/08/17 18:06:07 - mmengine - INFO - Epoch(train) [248][3600/3757] lr: 3.0465e-04 eta: 3:23:49 time: 0.4198 data_time: 0.0160 memory: 13431 grad_norm: 8.8682 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1783 loss: 1.1783 2022/08/17 18:06:50 - mmengine - INFO - Epoch(train) [248][3700/3757] lr: 3.0465e-04 eta: 3:23:09 time: 0.4136 data_time: 0.0163 memory: 13431 grad_norm: 9.0739 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0428 loss: 1.0428 2022/08/17 18:07:14 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 18:07:14 - mmengine - INFO - Epoch(train) [248][3757/3757] lr: 3.0465e-04 eta: 3:22:52 time: 0.4151 data_time: 0.0166 memory: 13431 grad_norm: 9.0214 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.3450 loss: 1.3450 2022/08/17 18:07:14 - mmengine - INFO - Saving checkpoint at 248 epochs 2022/08/17 18:08:04 - mmengine - INFO - Epoch(train) [249][100/3757] lr: 2.4076e-04 eta: 3:22:05 time: 0.4191 data_time: 0.0156 memory: 13431 grad_norm: 8.7815 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2462 loss: 1.2462 2022/08/17 18:08:46 - mmengine - INFO - Epoch(train) [249][200/3757] lr: 2.4076e-04 eta: 3:21:25 time: 0.4155 data_time: 0.0199 memory: 13431 grad_norm: 9.2400 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0441 loss: 1.0441 2022/08/17 18:09:13 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 18:09:29 - mmengine - INFO - Epoch(train) [249][300/3757] lr: 2.4076e-04 eta: 3:20:44 time: 0.4314 data_time: 0.0195 memory: 13431 grad_norm: 8.9186 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0337 loss: 1.0337 2022/08/17 18:10:12 - mmengine - INFO - Epoch(train) [249][400/3757] lr: 2.4076e-04 eta: 3:20:04 time: 0.4167 data_time: 0.0168 memory: 13431 grad_norm: 8.8203 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1279 loss: 1.1279 2022/08/17 18:10:56 - mmengine - INFO - Epoch(train) [249][500/3757] lr: 2.4076e-04 eta: 3:19:23 time: 0.4592 data_time: 0.0184 memory: 13431 grad_norm: 9.7393 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5792 loss: 1.5792 2022/08/17 18:11:38 - mmengine - INFO - Epoch(train) [249][600/3757] lr: 2.4076e-04 eta: 3:18:43 time: 0.4157 data_time: 0.0152 memory: 13431 grad_norm: 9.0198 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1476 loss: 1.1476 2022/08/17 18:12:20 - mmengine - INFO - Epoch(train) [249][700/3757] lr: 2.4076e-04 eta: 3:18:03 time: 0.4132 data_time: 0.0164 memory: 13431 grad_norm: 9.0784 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0294 loss: 1.0294 2022/08/17 18:13:04 - mmengine - INFO - Epoch(train) [249][800/3757] lr: 2.4076e-04 eta: 3:17:22 time: 0.4372 data_time: 0.0182 memory: 13431 grad_norm: 8.6922 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9938 loss: 0.9938 2022/08/17 18:13:46 - mmengine - INFO - Epoch(train) [249][900/3757] lr: 2.4076e-04 eta: 3:16:42 time: 0.4113 data_time: 0.0157 memory: 13431 grad_norm: 9.0414 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0915 loss: 1.0915 2022/08/17 18:14:29 - mmengine - INFO - Epoch(train) [249][1000/3757] lr: 2.4076e-04 eta: 3:16:01 time: 0.4551 data_time: 0.0181 memory: 13431 grad_norm: 8.7156 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1338 loss: 1.1338 2022/08/17 18:15:13 - mmengine - INFO - Epoch(train) [249][1100/3757] lr: 2.4076e-04 eta: 3:15:21 time: 0.4103 data_time: 0.0156 memory: 13431 grad_norm: 8.8443 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2805 loss: 1.2805 2022/08/17 18:15:55 - mmengine - INFO - Epoch(train) [249][1200/3757] lr: 2.4076e-04 eta: 3:14:40 time: 0.4408 data_time: 0.0181 memory: 13431 grad_norm: 9.3058 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2661 loss: 1.2661 2022/08/17 18:16:22 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 18:16:37 - mmengine - INFO - Epoch(train) [249][1300/3757] lr: 2.4076e-04 eta: 3:14:00 time: 0.4176 data_time: 0.0168 memory: 13431 grad_norm: 9.1653 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0574 loss: 1.0574 2022/08/17 18:17:21 - mmengine - INFO - Epoch(train) [249][1400/3757] lr: 2.4076e-04 eta: 3:13:20 time: 0.4147 data_time: 0.0181 memory: 13431 grad_norm: 9.1242 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3116 loss: 1.3116 2022/08/17 18:18:05 - mmengine - INFO - Epoch(train) [249][1500/3757] lr: 2.4076e-04 eta: 3:12:39 time: 0.4527 data_time: 0.0196 memory: 13431 grad_norm: 8.7616 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1982 loss: 1.1982 2022/08/17 18:18:48 - mmengine - INFO - Epoch(train) [249][1600/3757] lr: 2.4076e-04 eta: 3:11:59 time: 0.4108 data_time: 0.0159 memory: 13431 grad_norm: 9.2126 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3261 loss: 1.3261 2022/08/17 18:19:31 - mmengine - INFO - Epoch(train) [249][1700/3757] lr: 2.4076e-04 eta: 3:11:18 time: 0.4321 data_time: 0.0187 memory: 13431 grad_norm: 8.9963 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0290 loss: 1.0290 2022/08/17 18:20:14 - mmengine - INFO - Epoch(train) [249][1800/3757] lr: 2.4076e-04 eta: 3:10:38 time: 0.4108 data_time: 0.0159 memory: 13431 grad_norm: 9.2420 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1975 loss: 1.1975 2022/08/17 18:20:56 - mmengine - INFO - Epoch(train) [249][1900/3757] lr: 2.4076e-04 eta: 3:09:58 time: 0.4171 data_time: 0.0173 memory: 13431 grad_norm: 9.2247 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2541 loss: 1.2541 2022/08/17 18:21:39 - mmengine - INFO - Epoch(train) [249][2000/3757] lr: 2.4076e-04 eta: 3:09:17 time: 0.4305 data_time: 0.0160 memory: 13431 grad_norm: 8.6994 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1790 loss: 1.1790 2022/08/17 18:22:22 - mmengine - INFO - Epoch(train) [249][2100/3757] lr: 2.4076e-04 eta: 3:08:37 time: 0.4093 data_time: 0.0156 memory: 13431 grad_norm: 8.8729 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1700 loss: 1.1700 2022/08/17 18:23:05 - mmengine - INFO - Epoch(train) [249][2200/3757] lr: 2.4076e-04 eta: 3:07:56 time: 0.4361 data_time: 0.0192 memory: 13431 grad_norm: 9.1076 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0970 loss: 1.0970 2022/08/17 18:23:32 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 18:23:47 - mmengine - INFO - Epoch(train) [249][2300/3757] lr: 2.4076e-04 eta: 3:07:16 time: 0.4263 data_time: 0.0178 memory: 13431 grad_norm: 9.1647 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1832 loss: 1.1832 2022/08/17 18:24:30 - mmengine - INFO - Epoch(train) [249][2400/3757] lr: 2.4076e-04 eta: 3:06:35 time: 0.4231 data_time: 0.0159 memory: 13431 grad_norm: 9.3454 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1258 loss: 1.1258 2022/08/17 18:25:12 - mmengine - INFO - Epoch(train) [249][2500/3757] lr: 2.4076e-04 eta: 3:05:55 time: 0.4102 data_time: 0.0167 memory: 13431 grad_norm: 9.3629 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2160 loss: 1.2160 2022/08/17 18:25:55 - mmengine - INFO - Epoch(train) [249][2600/3757] lr: 2.4076e-04 eta: 3:05:15 time: 0.4270 data_time: 0.0181 memory: 13431 grad_norm: 9.3454 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1183 loss: 1.1183 2022/08/17 18:26:38 - mmengine - INFO - Epoch(train) [249][2700/3757] lr: 2.4076e-04 eta: 3:04:34 time: 0.4248 data_time: 0.0159 memory: 13431 grad_norm: 9.3712 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1515 loss: 1.1515 2022/08/17 18:27:21 - mmengine - INFO - Epoch(train) [249][2800/3757] lr: 2.4076e-04 eta: 3:03:54 time: 0.4090 data_time: 0.0155 memory: 13431 grad_norm: 8.7069 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0637 loss: 1.0637 2022/08/17 18:28:03 - mmengine - INFO - Epoch(train) [249][2900/3757] lr: 2.4076e-04 eta: 3:03:13 time: 0.4079 data_time: 0.0166 memory: 13431 grad_norm: 9.0853 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1715 loss: 1.1715 2022/08/17 18:28:46 - mmengine - INFO - Epoch(train) [249][3000/3757] lr: 2.4076e-04 eta: 3:02:33 time: 0.4248 data_time: 0.0163 memory: 13431 grad_norm: 8.7246 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2550 loss: 1.2550 2022/08/17 18:29:29 - mmengine - INFO - Epoch(train) [249][3100/3757] lr: 2.4076e-04 eta: 3:01:52 time: 0.4284 data_time: 0.0162 memory: 13431 grad_norm: 9.4047 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1556 loss: 1.1556 2022/08/17 18:30:11 - mmengine - INFO - Epoch(train) [249][3200/3757] lr: 2.4076e-04 eta: 3:01:12 time: 0.4120 data_time: 0.0161 memory: 13431 grad_norm: 9.0610 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1459 loss: 1.1459 2022/08/17 18:30:39 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 18:30:54 - mmengine - INFO - Epoch(train) [249][3300/3757] lr: 2.4076e-04 eta: 3:00:32 time: 0.4105 data_time: 0.0163 memory: 13431 grad_norm: 9.0814 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4114 loss: 1.4114 2022/08/17 18:31:37 - mmengine - INFO - Epoch(train) [249][3400/3757] lr: 2.4076e-04 eta: 2:59:51 time: 0.4128 data_time: 0.0170 memory: 13431 grad_norm: 9.0441 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3321 loss: 1.3321 2022/08/17 18:32:19 - mmengine - INFO - Epoch(train) [249][3500/3757] lr: 2.4076e-04 eta: 2:59:11 time: 0.4167 data_time: 0.0188 memory: 13431 grad_norm: 9.0015 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0578 loss: 1.0578 2022/08/17 18:33:01 - mmengine - INFO - Epoch(train) [249][3600/3757] lr: 2.4076e-04 eta: 2:58:30 time: 0.4240 data_time: 0.0166 memory: 13431 grad_norm: 8.6407 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1131 loss: 1.1131 2022/08/17 18:33:43 - mmengine - INFO - Epoch(train) [249][3700/3757] lr: 2.4076e-04 eta: 2:57:50 time: 0.4114 data_time: 0.0159 memory: 13431 grad_norm: 8.8496 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0600 loss: 1.0600 2022/08/17 18:34:08 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 18:34:08 - mmengine - INFO - Epoch(train) [249][3757/3757] lr: 2.4076e-04 eta: 2:57:34 time: 0.4184 data_time: 0.0156 memory: 13431 grad_norm: 9.3565 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 1.5335 loss: 1.5335 2022/08/17 18:34:53 - mmengine - INFO - Epoch(train) [250][100/3757] lr: 1.8437e-04 eta: 2:56:46 time: 0.4204 data_time: 0.0167 memory: 13431 grad_norm: 9.3884 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2839 loss: 1.2839 2022/08/17 18:35:35 - mmengine - INFO - Epoch(train) [250][200/3757] lr: 1.8437e-04 eta: 2:56:06 time: 0.4106 data_time: 0.0171 memory: 13431 grad_norm: 8.8233 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0833 loss: 1.0833 2022/08/17 18:36:18 - mmengine - INFO - Epoch(train) [250][300/3757] lr: 1.8437e-04 eta: 2:55:25 time: 0.4283 data_time: 0.0183 memory: 13431 grad_norm: 9.2405 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2659 loss: 1.2659 2022/08/17 18:37:00 - mmengine - INFO - Epoch(train) [250][400/3757] lr: 1.8437e-04 eta: 2:54:45 time: 0.4154 data_time: 0.0170 memory: 13431 grad_norm: 9.1647 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0503 loss: 1.0503 2022/08/17 18:37:42 - mmengine - INFO - Epoch(train) [250][500/3757] lr: 1.8437e-04 eta: 2:54:04 time: 0.4291 data_time: 0.0175 memory: 13431 grad_norm: 8.8439 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8708 loss: 0.8708 2022/08/17 18:37:45 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 18:38:24 - mmengine - INFO - Epoch(train) [250][600/3757] lr: 1.8437e-04 eta: 2:53:24 time: 0.4093 data_time: 0.0153 memory: 13431 grad_norm: 9.4778 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0358 loss: 1.0358 2022/08/17 18:39:09 - mmengine - INFO - Epoch(train) [250][700/3757] lr: 1.8437e-04 eta: 2:52:44 time: 0.4390 data_time: 0.0178 memory: 13431 grad_norm: 9.1629 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0089 loss: 1.0089 2022/08/17 18:39:53 - mmengine - INFO - Epoch(train) [250][800/3757] lr: 1.8437e-04 eta: 2:52:03 time: 0.4923 data_time: 0.0185 memory: 13431 grad_norm: 9.2624 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9920 loss: 0.9920 2022/08/17 18:40:36 - mmengine - INFO - Epoch(train) [250][900/3757] lr: 1.8437e-04 eta: 2:51:23 time: 0.4111 data_time: 0.0152 memory: 13431 grad_norm: 8.9623 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1887 loss: 1.1887 2022/08/17 18:41:19 - mmengine - INFO - Epoch(train) [250][1000/3757] lr: 1.8437e-04 eta: 2:50:42 time: 0.4456 data_time: 0.0173 memory: 13431 grad_norm: 9.1521 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3300 loss: 1.3300 2022/08/17 18:42:01 - mmengine - INFO - Epoch(train) [250][1100/3757] lr: 1.8437e-04 eta: 2:50:02 time: 0.4178 data_time: 0.0161 memory: 13431 grad_norm: 9.4389 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1459 loss: 1.1459 2022/08/17 18:42:44 - mmengine - INFO - Epoch(train) [250][1200/3757] lr: 1.8437e-04 eta: 2:49:22 time: 0.4108 data_time: 0.0185 memory: 13431 grad_norm: 9.2508 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1726 loss: 1.1726 2022/08/17 18:43:29 - mmengine - INFO - Epoch(train) [250][1300/3757] lr: 1.8437e-04 eta: 2:48:41 time: 0.4613 data_time: 0.0185 memory: 13431 grad_norm: 9.1691 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1474 loss: 1.1474 2022/08/17 18:44:12 - mmengine - INFO - Epoch(train) [250][1400/3757] lr: 1.8437e-04 eta: 2:48:01 time: 0.4389 data_time: 0.0162 memory: 13431 grad_norm: 8.9868 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0409 loss: 1.0409 2022/08/17 18:44:56 - mmengine - INFO - Epoch(train) [250][1500/3757] lr: 1.8437e-04 eta: 2:47:20 time: 0.4102 data_time: 0.0158 memory: 13431 grad_norm: 9.0750 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1595 loss: 1.1595 2022/08/17 18:44:59 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 18:45:38 - mmengine - INFO - Epoch(train) [250][1600/3757] lr: 1.8437e-04 eta: 2:46:40 time: 0.4247 data_time: 0.0179 memory: 13431 grad_norm: 9.4759 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2597 loss: 1.2597 2022/08/17 18:46:21 - mmengine - INFO - Epoch(train) [250][1700/3757] lr: 1.8437e-04 eta: 2:45:59 time: 0.4164 data_time: 0.0170 memory: 13431 grad_norm: 8.7808 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0333 loss: 1.0333 2022/08/17 18:47:03 - mmengine - INFO - Epoch(train) [250][1800/3757] lr: 1.8437e-04 eta: 2:45:19 time: 0.4191 data_time: 0.0176 memory: 13431 grad_norm: 9.5651 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2273 loss: 1.2273 2022/08/17 18:47:47 - mmengine - INFO - Epoch(train) [250][1900/3757] lr: 1.8437e-04 eta: 2:44:39 time: 0.4501 data_time: 0.0164 memory: 13431 grad_norm: 9.1213 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3457 loss: 1.3457 2022/08/17 18:48:29 - mmengine - INFO - Epoch(train) [250][2000/3757] lr: 1.8437e-04 eta: 2:43:58 time: 0.4398 data_time: 0.0182 memory: 13431 grad_norm: 8.8338 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2342 loss: 1.2342 2022/08/17 18:49:12 - mmengine - INFO - Epoch(train) [250][2100/3757] lr: 1.8437e-04 eta: 2:43:18 time: 0.4093 data_time: 0.0165 memory: 13431 grad_norm: 9.2159 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4673 loss: 1.4673 2022/08/17 18:49:56 - mmengine - INFO - Epoch(train) [250][2200/3757] lr: 1.8437e-04 eta: 2:42:37 time: 0.4109 data_time: 0.0151 memory: 13431 grad_norm: 9.0767 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1597 loss: 1.1597 2022/08/17 18:50:39 - mmengine - INFO - Epoch(train) [250][2300/3757] lr: 1.8437e-04 eta: 2:41:57 time: 0.4112 data_time: 0.0161 memory: 13431 grad_norm: 9.3430 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4270 loss: 1.4270 2022/08/17 18:51:22 - mmengine - INFO - Epoch(train) [250][2400/3757] lr: 1.8437e-04 eta: 2:41:16 time: 0.4341 data_time: 0.0177 memory: 13431 grad_norm: 9.4430 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2258 loss: 1.2258 2022/08/17 18:52:06 - mmengine - INFO - Epoch(train) [250][2500/3757] lr: 1.8437e-04 eta: 2:40:36 time: 0.4109 data_time: 0.0157 memory: 13431 grad_norm: 9.4338 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2895 loss: 1.2895 2022/08/17 18:52:09 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 18:52:49 - mmengine - INFO - Epoch(train) [250][2600/3757] lr: 1.8437e-04 eta: 2:39:56 time: 0.4896 data_time: 0.0188 memory: 13431 grad_norm: 9.2226 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1777 loss: 1.1777 2022/08/17 18:53:32 - mmengine - INFO - Epoch(train) [250][2700/3757] lr: 1.8437e-04 eta: 2:39:15 time: 0.4465 data_time: 0.0194 memory: 13431 grad_norm: 9.0701 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1306 loss: 1.1306 2022/08/17 18:54:14 - mmengine - INFO - Epoch(train) [250][2800/3757] lr: 1.8437e-04 eta: 2:38:35 time: 0.4219 data_time: 0.0172 memory: 13431 grad_norm: 9.1380 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0808 loss: 1.0808 2022/08/17 18:54:56 - mmengine - INFO - Epoch(train) [250][2900/3757] lr: 1.8437e-04 eta: 2:37:54 time: 0.4084 data_time: 0.0148 memory: 13431 grad_norm: 9.1917 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0917 loss: 1.0917 2022/08/17 18:55:38 - mmengine - INFO - Epoch(train) [250][3000/3757] lr: 1.8437e-04 eta: 2:37:14 time: 0.4104 data_time: 0.0176 memory: 13431 grad_norm: 9.1491 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1910 loss: 1.1910 2022/08/17 18:56:21 - mmengine - INFO - Epoch(train) [250][3100/3757] lr: 1.8437e-04 eta: 2:36:33 time: 0.4318 data_time: 0.0184 memory: 13431 grad_norm: 9.2286 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4806 loss: 1.4806 2022/08/17 18:57:05 - mmengine - INFO - Epoch(train) [250][3200/3757] lr: 1.8437e-04 eta: 2:35:53 time: 0.4081 data_time: 0.0163 memory: 13431 grad_norm: 9.1840 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2348 loss: 1.2348 2022/08/17 18:57:49 - mmengine - INFO - Epoch(train) [250][3300/3757] lr: 1.8437e-04 eta: 2:35:13 time: 0.4439 data_time: 0.0192 memory: 13431 grad_norm: 8.9667 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0956 loss: 1.0956 2022/08/17 18:58:32 - mmengine - INFO - Epoch(train) [250][3400/3757] lr: 1.8437e-04 eta: 2:34:32 time: 0.4720 data_time: 0.0188 memory: 13431 grad_norm: 9.0032 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4806 loss: 1.4806 2022/08/17 18:59:15 - mmengine - INFO - Epoch(train) [250][3500/3757] lr: 1.8437e-04 eta: 2:33:52 time: 0.4423 data_time: 0.0198 memory: 13431 grad_norm: 8.7971 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3592 loss: 1.3592 2022/08/17 18:59:18 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 18:59:59 - mmengine - INFO - Epoch(train) [250][3600/3757] lr: 1.8437e-04 eta: 2:33:11 time: 0.4129 data_time: 0.0156 memory: 13431 grad_norm: 9.7285 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5766 loss: 1.5766 2022/08/17 19:00:43 - mmengine - INFO - Epoch(train) [250][3700/3757] lr: 1.8437e-04 eta: 2:32:31 time: 0.4328 data_time: 0.0180 memory: 13431 grad_norm: 8.7670 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2410 loss: 1.2410 2022/08/17 19:01:06 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 19:01:06 - mmengine - INFO - Epoch(train) [250][3757/3757] lr: 1.8437e-04 eta: 2:32:15 time: 0.3971 data_time: 0.0142 memory: 13431 grad_norm: 9.3351 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.2810 loss: 1.2810 2022/08/17 19:01:29 - mmengine - INFO - Epoch(val) [250][100/310] eta: 0:00:47 time: 0.2267 data_time: 0.0714 memory: 1974 2022/08/17 19:01:50 - mmengine - INFO - Epoch(val) [250][200/310] eta: 0:00:23 time: 0.2107 data_time: 0.0492 memory: 1974 2022/08/17 19:02:11 - mmengine - INFO - Epoch(val) [250][300/310] eta: 0:00:01 time: 0.1971 data_time: 0.0715 memory: 1974 2022/08/17 19:02:16 - mmengine - INFO - Epoch(val) [250][310/310] acc/top1: 0.7096 acc/top5: 0.8944 acc/mean1: 0.7095 2022/08/17 19:02:16 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_246.pth is removed 2022/08/17 19:02:21 - mmengine - INFO - The best checkpoint with 0.7096 acc/top1 at 251 epoch is saved to best_acc/top1_epoch_251.pth. 2022/08/17 19:03:05 - mmengine - INFO - Epoch(train) [251][100/3757] lr: 1.3548e-04 eta: 2:31:27 time: 0.4266 data_time: 0.0154 memory: 13431 grad_norm: 9.4571 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2556 loss: 1.2556 2022/08/17 19:03:47 - mmengine - INFO - Epoch(train) [251][200/3757] lr: 1.3548e-04 eta: 2:30:47 time: 0.4206 data_time: 0.0167 memory: 13431 grad_norm: 9.2611 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0499 loss: 1.0499 2022/08/17 19:04:30 - mmengine - INFO - Epoch(train) [251][300/3757] lr: 1.3548e-04 eta: 2:30:06 time: 0.4372 data_time: 0.0188 memory: 13431 grad_norm: 8.9160 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0232 loss: 1.0232 2022/08/17 19:05:14 - mmengine - INFO - Epoch(train) [251][400/3757] lr: 1.3548e-04 eta: 2:29:26 time: 0.4632 data_time: 0.0189 memory: 13431 grad_norm: 9.3961 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2373 loss: 1.2373 2022/08/17 19:05:57 - mmengine - INFO - Epoch(train) [251][500/3757] lr: 1.3548e-04 eta: 2:28:45 time: 0.4109 data_time: 0.0167 memory: 13431 grad_norm: 8.9043 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0862 loss: 1.0862 2022/08/17 19:06:41 - mmengine - INFO - Epoch(train) [251][600/3757] lr: 1.3548e-04 eta: 2:28:05 time: 0.4506 data_time: 0.0186 memory: 13431 grad_norm: 8.8745 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9326 loss: 0.9326 2022/08/17 19:07:23 - mmengine - INFO - Epoch(train) [251][700/3757] lr: 1.3548e-04 eta: 2:27:25 time: 0.4392 data_time: 0.0183 memory: 13431 grad_norm: 9.1195 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9859 loss: 0.9859 2022/08/17 19:07:44 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 19:08:05 - mmengine - INFO - Epoch(train) [251][800/3757] lr: 1.3548e-04 eta: 2:26:44 time: 0.4226 data_time: 0.0173 memory: 13431 grad_norm: 9.5302 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1734 loss: 1.1734 2022/08/17 19:08:48 - mmengine - INFO - Epoch(train) [251][900/3757] lr: 1.3548e-04 eta: 2:26:04 time: 0.4269 data_time: 0.0166 memory: 13431 grad_norm: 9.2687 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1064 loss: 1.1064 2022/08/17 19:09:33 - mmengine - INFO - Epoch(train) [251][1000/3757] lr: 1.3548e-04 eta: 2:25:23 time: 0.4889 data_time: 0.0179 memory: 13431 grad_norm: 9.1648 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0974 loss: 1.0974 2022/08/17 19:10:17 - mmengine - INFO - Epoch(train) [251][1100/3757] lr: 1.3548e-04 eta: 2:24:43 time: 0.4210 data_time: 0.0185 memory: 13431 grad_norm: 9.3103 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9649 loss: 0.9649 2022/08/17 19:11:00 - mmengine - INFO - Epoch(train) [251][1200/3757] lr: 1.3548e-04 eta: 2:24:02 time: 0.4210 data_time: 0.0156 memory: 13431 grad_norm: 9.3177 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9458 loss: 0.9458 2022/08/17 19:11:43 - mmengine - INFO - Epoch(train) [251][1300/3757] lr: 1.3548e-04 eta: 2:23:22 time: 0.4239 data_time: 0.0164 memory: 13431 grad_norm: 9.5153 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1640 loss: 1.1640 2022/08/17 19:12:26 - mmengine - INFO - Epoch(train) [251][1400/3757] lr: 1.3548e-04 eta: 2:22:41 time: 0.4454 data_time: 0.0165 memory: 13431 grad_norm: 9.1319 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3570 loss: 1.3570 2022/08/17 19:13:09 - mmengine - INFO - Epoch(train) [251][1500/3757] lr: 1.3548e-04 eta: 2:22:01 time: 0.4152 data_time: 0.0157 memory: 13431 grad_norm: 8.7878 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8223 loss: 0.8223 2022/08/17 19:13:52 - mmengine - INFO - Epoch(train) [251][1600/3757] lr: 1.3548e-04 eta: 2:21:21 time: 0.4111 data_time: 0.0159 memory: 13431 grad_norm: 9.1185 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1212 loss: 1.1212 2022/08/17 19:14:36 - mmengine - INFO - Epoch(train) [251][1700/3757] lr: 1.3548e-04 eta: 2:20:40 time: 0.4348 data_time: 0.0171 memory: 13431 grad_norm: 9.5019 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1397 loss: 1.1397 2022/08/17 19:14:58 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 19:15:20 - mmengine - INFO - Epoch(train) [251][1800/3757] lr: 1.3548e-04 eta: 2:20:00 time: 0.4247 data_time: 0.0164 memory: 13431 grad_norm: 9.0369 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2263 loss: 1.2263 2022/08/17 19:16:03 - mmengine - INFO - Epoch(train) [251][1900/3757] lr: 1.3548e-04 eta: 2:19:19 time: 0.4130 data_time: 0.0159 memory: 13431 grad_norm: 9.2646 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0967 loss: 1.0967 2022/08/17 19:16:47 - mmengine - INFO - Epoch(train) [251][2000/3757] lr: 1.3548e-04 eta: 2:18:39 time: 0.4097 data_time: 0.0160 memory: 13431 grad_norm: 8.9776 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2825 loss: 1.2825 2022/08/17 19:17:31 - mmengine - INFO - Epoch(train) [251][2100/3757] lr: 1.3548e-04 eta: 2:17:58 time: 0.4195 data_time: 0.0163 memory: 13431 grad_norm: 8.8657 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1082 loss: 1.1082 2022/08/17 19:18:13 - mmengine - INFO - Epoch(train) [251][2200/3757] lr: 1.3548e-04 eta: 2:17:18 time: 0.4198 data_time: 0.0163 memory: 13431 grad_norm: 8.8025 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3525 loss: 1.3525 2022/08/17 19:18:57 - mmengine - INFO - Epoch(train) [251][2300/3757] lr: 1.3548e-04 eta: 2:16:37 time: 0.4198 data_time: 0.0153 memory: 13431 grad_norm: 8.9809 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0788 loss: 1.0788 2022/08/17 19:19:39 - mmengine - INFO - Epoch(train) [251][2400/3757] lr: 1.3548e-04 eta: 2:15:57 time: 0.4256 data_time: 0.0188 memory: 13431 grad_norm: 8.9807 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1062 loss: 1.1062 2022/08/17 19:20:22 - mmengine - INFO - Epoch(train) [251][2500/3757] lr: 1.3548e-04 eta: 2:15:17 time: 0.4153 data_time: 0.0171 memory: 13431 grad_norm: 9.2293 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3432 loss: 1.3432 2022/08/17 19:21:05 - mmengine - INFO - Epoch(train) [251][2600/3757] lr: 1.3548e-04 eta: 2:14:36 time: 0.4100 data_time: 0.0152 memory: 13431 grad_norm: 9.1093 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3762 loss: 1.3762 2022/08/17 19:21:47 - mmengine - INFO - Epoch(train) [251][2700/3757] lr: 1.3548e-04 eta: 2:13:56 time: 0.4172 data_time: 0.0173 memory: 13431 grad_norm: 9.4362 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2133 loss: 1.2133 2022/08/17 19:22:09 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 19:22:31 - mmengine - INFO - Epoch(train) [251][2800/3757] lr: 1.3548e-04 eta: 2:13:15 time: 0.4580 data_time: 0.0227 memory: 13431 grad_norm: 9.3601 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1051 loss: 1.1051 2022/08/17 19:23:14 - mmengine - INFO - Epoch(train) [251][2900/3757] lr: 1.3548e-04 eta: 2:12:35 time: 0.4486 data_time: 0.0185 memory: 13431 grad_norm: 9.1666 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1120 loss: 1.1120 2022/08/17 19:23:57 - mmengine - INFO - Epoch(train) [251][3000/3757] lr: 1.3548e-04 eta: 2:11:54 time: 0.4354 data_time: 0.0176 memory: 13431 grad_norm: 9.2406 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1018 loss: 1.1018 2022/08/17 19:24:40 - mmengine - INFO - Epoch(train) [251][3100/3757] lr: 1.3548e-04 eta: 2:11:14 time: 0.4177 data_time: 0.0162 memory: 13431 grad_norm: 8.9925 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0820 loss: 1.0820 2022/08/17 19:25:23 - mmengine - INFO - Epoch(train) [251][3200/3757] lr: 1.3548e-04 eta: 2:10:33 time: 0.4197 data_time: 0.0164 memory: 13431 grad_norm: 9.1534 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3556 loss: 1.3556 2022/08/17 19:26:05 - mmengine - INFO - Epoch(train) [251][3300/3757] lr: 1.3548e-04 eta: 2:09:53 time: 0.4330 data_time: 0.0180 memory: 13431 grad_norm: 9.0934 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1098 loss: 1.1098 2022/08/17 19:26:47 - mmengine - INFO - Epoch(train) [251][3400/3757] lr: 1.3548e-04 eta: 2:09:12 time: 0.4178 data_time: 0.0174 memory: 13431 grad_norm: 8.6555 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9356 loss: 0.9356 2022/08/17 19:27:30 - mmengine - INFO - Epoch(train) [251][3500/3757] lr: 1.3548e-04 eta: 2:08:32 time: 0.4335 data_time: 0.0166 memory: 13431 grad_norm: 9.3003 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3314 loss: 1.3314 2022/08/17 19:28:13 - mmengine - INFO - Epoch(train) [251][3600/3757] lr: 1.3548e-04 eta: 2:07:52 time: 0.4174 data_time: 0.0161 memory: 13431 grad_norm: 9.2898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3143 loss: 1.3143 2022/08/17 19:28:56 - mmengine - INFO - Epoch(train) [251][3700/3757] lr: 1.3548e-04 eta: 2:07:11 time: 0.4361 data_time: 0.0190 memory: 13431 grad_norm: 9.3262 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8264 loss: 0.8264 2022/08/17 19:29:17 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 19:29:20 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 19:29:20 - mmengine - INFO - Epoch(train) [251][3757/3757] lr: 1.3548e-04 eta: 2:06:55 time: 0.3963 data_time: 0.0142 memory: 13431 grad_norm: 9.4345 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 1.2584 loss: 1.2584 2022/08/17 19:30:04 - mmengine - INFO - Epoch(train) [252][100/3757] lr: 9.4094e-05 eta: 2:06:07 time: 0.4140 data_time: 0.0166 memory: 13431 grad_norm: 9.0658 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1168 loss: 1.1168 2022/08/17 19:30:47 - mmengine - INFO - Epoch(train) [252][200/3757] lr: 9.4094e-05 eta: 2:05:27 time: 0.4129 data_time: 0.0160 memory: 13431 grad_norm: 9.1150 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2241 loss: 1.2241 2022/08/17 19:31:31 - mmengine - INFO - Epoch(train) [252][300/3757] lr: 9.4094e-05 eta: 2:04:47 time: 0.4647 data_time: 0.0262 memory: 13431 grad_norm: 8.7958 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2960 loss: 1.2960 2022/08/17 19:32:13 - mmengine - INFO - Epoch(train) [252][400/3757] lr: 9.4094e-05 eta: 2:04:06 time: 0.4199 data_time: 0.0179 memory: 13431 grad_norm: 9.3601 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8898 loss: 0.8898 2022/08/17 19:32:56 - mmengine - INFO - Epoch(train) [252][500/3757] lr: 9.4094e-05 eta: 2:03:26 time: 0.4503 data_time: 0.0187 memory: 13431 grad_norm: 9.0969 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3700 loss: 1.3700 2022/08/17 19:33:39 - mmengine - INFO - Epoch(train) [252][600/3757] lr: 9.4094e-05 eta: 2:02:45 time: 0.4119 data_time: 0.0160 memory: 13431 grad_norm: 9.1479 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1931 loss: 1.1931 2022/08/17 19:34:21 - mmengine - INFO - Epoch(train) [252][700/3757] lr: 9.4094e-05 eta: 2:02:05 time: 0.4206 data_time: 0.0162 memory: 13431 grad_norm: 9.6098 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2547 loss: 1.2547 2022/08/17 19:35:04 - mmengine - INFO - Epoch(train) [252][800/3757] lr: 9.4094e-05 eta: 2:01:24 time: 0.4112 data_time: 0.0168 memory: 13431 grad_norm: 9.1605 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4423 loss: 1.4423 2022/08/17 19:35:46 - mmengine - INFO - Epoch(train) [252][900/3757] lr: 9.4094e-05 eta: 2:00:44 time: 0.4164 data_time: 0.0157 memory: 13431 grad_norm: 9.1154 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0227 loss: 1.0227 2022/08/17 19:36:27 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 19:36:30 - mmengine - INFO - Epoch(train) [252][1000/3757] lr: 9.4094e-05 eta: 2:00:03 time: 0.4095 data_time: 0.0153 memory: 13431 grad_norm: 9.5620 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0367 loss: 1.0367 2022/08/17 19:37:13 - mmengine - INFO - Epoch(train) [252][1100/3757] lr: 9.4094e-05 eta: 1:59:23 time: 0.4375 data_time: 0.0151 memory: 13431 grad_norm: 8.9277 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0857 loss: 1.0857 2022/08/17 19:37:58 - mmengine - INFO - Epoch(train) [252][1200/3757] lr: 9.4094e-05 eta: 1:58:42 time: 0.4555 data_time: 0.0194 memory: 13431 grad_norm: 9.3170 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9920 loss: 0.9920 2022/08/17 19:38:40 - mmengine - INFO - Epoch(train) [252][1300/3757] lr: 9.4094e-05 eta: 1:58:02 time: 0.4111 data_time: 0.0163 memory: 13431 grad_norm: 9.1283 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2304 loss: 1.2304 2022/08/17 19:39:22 - mmengine - INFO - Epoch(train) [252][1400/3757] lr: 9.4094e-05 eta: 1:57:21 time: 0.4127 data_time: 0.0158 memory: 13431 grad_norm: 9.1194 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2435 loss: 1.2435 2022/08/17 19:40:10 - mmengine - INFO - Epoch(train) [252][1500/3757] lr: 9.4094e-05 eta: 1:56:41 time: 0.4113 data_time: 0.0187 memory: 13431 grad_norm: 9.4861 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1376 loss: 1.1376 2022/08/17 19:40:54 - mmengine - INFO - Epoch(train) [252][1600/3757] lr: 9.4094e-05 eta: 1:56:01 time: 0.4278 data_time: 0.0172 memory: 13431 grad_norm: 9.3112 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3148 loss: 1.3148 2022/08/17 19:41:36 - mmengine - INFO - Epoch(train) [252][1700/3757] lr: 9.4094e-05 eta: 1:55:20 time: 0.4302 data_time: 0.0171 memory: 13431 grad_norm: 9.3370 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2634 loss: 1.2634 2022/08/17 19:42:19 - mmengine - INFO - Epoch(train) [252][1800/3757] lr: 9.4094e-05 eta: 1:54:40 time: 0.4125 data_time: 0.0156 memory: 13431 grad_norm: 9.1245 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2792 loss: 1.2792 2022/08/17 19:43:03 - mmengine - INFO - Epoch(train) [252][1900/3757] lr: 9.4094e-05 eta: 1:53:59 time: 0.4299 data_time: 0.0197 memory: 13431 grad_norm: 8.9067 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3588 loss: 1.3588 2022/08/17 19:43:43 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 19:43:46 - mmengine - INFO - Epoch(train) [252][2000/3757] lr: 9.4094e-05 eta: 1:53:19 time: 0.4666 data_time: 0.0194 memory: 13431 grad_norm: 8.9184 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1913 loss: 1.1913 2022/08/17 19:44:30 - mmengine - INFO - Epoch(train) [252][2100/3757] lr: 9.4094e-05 eta: 1:52:38 time: 0.4429 data_time: 0.0191 memory: 13431 grad_norm: 9.3637 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0048 loss: 1.0048 2022/08/17 19:45:14 - mmengine - INFO - Epoch(train) [252][2200/3757] lr: 9.4094e-05 eta: 1:51:58 time: 0.4136 data_time: 0.0161 memory: 13431 grad_norm: 9.1097 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9713 loss: 0.9713 2022/08/17 19:45:57 - mmengine - INFO - Epoch(train) [252][2300/3757] lr: 9.4094e-05 eta: 1:51:17 time: 0.4206 data_time: 0.0159 memory: 13431 grad_norm: 9.2462 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8128 loss: 0.8128 2022/08/17 19:46:41 - mmengine - INFO - Epoch(train) [252][2400/3757] lr: 9.4094e-05 eta: 1:50:37 time: 0.4645 data_time: 0.0199 memory: 13431 grad_norm: 9.1851 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9018 loss: 0.9018 2022/08/17 19:47:24 - mmengine - INFO - Epoch(train) [252][2500/3757] lr: 9.4094e-05 eta: 1:49:56 time: 0.4144 data_time: 0.0167 memory: 13431 grad_norm: 8.4608 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3100 loss: 1.3100 2022/08/17 19:48:08 - mmengine - INFO - Epoch(train) [252][2600/3757] lr: 9.4094e-05 eta: 1:49:16 time: 0.4428 data_time: 0.0195 memory: 13431 grad_norm: 9.0894 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2805 loss: 1.2805 2022/08/17 19:48:51 - mmengine - INFO - Epoch(train) [252][2700/3757] lr: 9.4094e-05 eta: 1:48:36 time: 0.4110 data_time: 0.0163 memory: 13431 grad_norm: 9.4936 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2340 loss: 1.2340 2022/08/17 19:49:35 - mmengine - INFO - Epoch(train) [252][2800/3757] lr: 9.4094e-05 eta: 1:47:55 time: 0.4110 data_time: 0.0161 memory: 13431 grad_norm: 9.1492 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1922 loss: 1.1922 2022/08/17 19:50:17 - mmengine - INFO - Epoch(train) [252][2900/3757] lr: 9.4094e-05 eta: 1:47:15 time: 0.4106 data_time: 0.0167 memory: 13431 grad_norm: 9.4056 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3225 loss: 1.3225 2022/08/17 19:50:58 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 19:51:01 - mmengine - INFO - Epoch(train) [252][3000/3757] lr: 9.4094e-05 eta: 1:46:34 time: 0.4132 data_time: 0.0158 memory: 13431 grad_norm: 9.4110 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2814 loss: 1.2814 2022/08/17 19:51:44 - mmengine - INFO - Epoch(train) [252][3100/3757] lr: 9.4094e-05 eta: 1:45:54 time: 0.4298 data_time: 0.0180 memory: 13431 grad_norm: 9.3233 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2536 loss: 1.2536 2022/08/17 19:52:26 - mmengine - INFO - Epoch(train) [252][3200/3757] lr: 9.4094e-05 eta: 1:45:13 time: 0.4358 data_time: 0.0172 memory: 13431 grad_norm: 9.5131 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1455 loss: 1.1455 2022/08/17 19:53:09 - mmengine - INFO - Epoch(train) [252][3300/3757] lr: 9.4094e-05 eta: 1:44:33 time: 0.4150 data_time: 0.0152 memory: 13431 grad_norm: 9.5079 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5509 loss: 1.5509 2022/08/17 19:53:51 - mmengine - INFO - Epoch(train) [252][3400/3757] lr: 9.4094e-05 eta: 1:43:52 time: 0.4137 data_time: 0.0167 memory: 13431 grad_norm: 8.8960 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0422 loss: 1.0422 2022/08/17 19:54:34 - mmengine - INFO - Epoch(train) [252][3500/3757] lr: 9.4094e-05 eta: 1:43:12 time: 0.4525 data_time: 0.0159 memory: 13431 grad_norm: 9.3636 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0028 loss: 1.0028 2022/08/17 19:55:17 - mmengine - INFO - Epoch(train) [252][3600/3757] lr: 9.4094e-05 eta: 1:42:31 time: 0.4207 data_time: 0.0172 memory: 13431 grad_norm: 8.7944 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1336 loss: 1.1336 2022/08/17 19:55:59 - mmengine - INFO - Epoch(train) [252][3700/3757] lr: 9.4094e-05 eta: 1:41:51 time: 0.4184 data_time: 0.0165 memory: 13431 grad_norm: 9.1355 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3758 loss: 1.3758 2022/08/17 19:56:24 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 19:56:24 - mmengine - INFO - Epoch(train) [252][3757/3757] lr: 9.4094e-05 eta: 1:41:35 time: 0.4103 data_time: 0.0143 memory: 13431 grad_norm: 9.2881 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.1869 loss: 1.1869 2022/08/17 19:56:24 - mmengine - INFO - Saving checkpoint at 252 epochs 2022/08/17 19:57:13 - mmengine - INFO - Epoch(train) [253][100/3757] lr: 6.0227e-05 eta: 1:40:47 time: 0.4146 data_time: 0.0162 memory: 13431 grad_norm: 9.2227 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9883 loss: 0.9883 2022/08/17 19:57:56 - mmengine - INFO - Epoch(train) [253][200/3757] lr: 6.0227e-05 eta: 1:40:07 time: 0.4099 data_time: 0.0162 memory: 13431 grad_norm: 9.3502 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4019 loss: 1.4019 2022/08/17 19:58:11 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 19:58:39 - mmengine - INFO - Epoch(train) [253][300/3757] lr: 6.0227e-05 eta: 1:39:26 time: 0.4600 data_time: 0.0197 memory: 13431 grad_norm: 8.7742 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1110 loss: 1.1110 2022/08/17 19:59:22 - mmengine - INFO - Epoch(train) [253][400/3757] lr: 6.0227e-05 eta: 1:38:46 time: 0.4098 data_time: 0.0155 memory: 13431 grad_norm: 9.2255 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9532 loss: 0.9532 2022/08/17 20:00:06 - mmengine - INFO - Epoch(train) [253][500/3757] lr: 6.0227e-05 eta: 1:38:05 time: 0.4428 data_time: 0.0224 memory: 13431 grad_norm: 9.2169 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0113 loss: 1.0113 2022/08/17 20:00:49 - mmengine - INFO - Epoch(train) [253][600/3757] lr: 6.0227e-05 eta: 1:37:25 time: 0.4456 data_time: 0.0185 memory: 13431 grad_norm: 9.4633 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3588 loss: 1.3588 2022/08/17 20:01:32 - mmengine - INFO - Epoch(train) [253][700/3757] lr: 6.0227e-05 eta: 1:36:44 time: 0.4205 data_time: 0.0154 memory: 13431 grad_norm: 9.0529 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0987 loss: 1.0987 2022/08/17 20:02:15 - mmengine - INFO - Epoch(train) [253][800/3757] lr: 6.0227e-05 eta: 1:36:04 time: 0.4103 data_time: 0.0157 memory: 13431 grad_norm: 9.2030 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2569 loss: 1.2569 2022/08/17 20:02:58 - mmengine - INFO - Epoch(train) [253][900/3757] lr: 6.0227e-05 eta: 1:35:23 time: 0.4452 data_time: 0.0178 memory: 13431 grad_norm: 8.6341 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0902 loss: 1.0902 2022/08/17 20:03:41 - mmengine - INFO - Epoch(train) [253][1000/3757] lr: 6.0227e-05 eta: 1:34:43 time: 0.4384 data_time: 0.0172 memory: 13431 grad_norm: 8.6667 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0208 loss: 1.0208 2022/08/17 20:04:24 - mmengine - INFO - Epoch(train) [253][1100/3757] lr: 6.0227e-05 eta: 1:34:02 time: 0.4126 data_time: 0.0164 memory: 13431 grad_norm: 9.2137 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0719 loss: 1.0719 2022/08/17 20:05:07 - mmengine - INFO - Epoch(train) [253][1200/3757] lr: 6.0227e-05 eta: 1:33:22 time: 0.4430 data_time: 0.0189 memory: 13431 grad_norm: 8.9854 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3293 loss: 1.3293 2022/08/17 20:05:22 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 20:05:50 - mmengine - INFO - Epoch(train) [253][1300/3757] lr: 6.0227e-05 eta: 1:32:41 time: 0.4168 data_time: 0.0171 memory: 13431 grad_norm: 9.6708 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1174 loss: 1.1174 2022/08/17 20:06:32 - mmengine - INFO - Epoch(train) [253][1400/3757] lr: 6.0227e-05 eta: 1:32:01 time: 0.4121 data_time: 0.0161 memory: 13431 grad_norm: 8.9574 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9569 loss: 0.9569 2022/08/17 20:07:15 - mmengine - INFO - Epoch(train) [253][1500/3757] lr: 6.0227e-05 eta: 1:31:20 time: 0.4174 data_time: 0.0167 memory: 13431 grad_norm: 8.9192 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9660 loss: 0.9660 2022/08/17 20:07:58 - mmengine - INFO - Epoch(train) [253][1600/3757] lr: 6.0227e-05 eta: 1:30:40 time: 0.4105 data_time: 0.0170 memory: 13431 grad_norm: 9.4951 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1526 loss: 1.1526 2022/08/17 20:08:41 - mmengine - INFO - Epoch(train) [253][1700/3757] lr: 6.0227e-05 eta: 1:29:59 time: 0.4282 data_time: 0.0193 memory: 13431 grad_norm: 9.2466 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1408 loss: 1.1408 2022/08/17 20:09:24 - mmengine - INFO - Epoch(train) [253][1800/3757] lr: 6.0227e-05 eta: 1:29:19 time: 0.4091 data_time: 0.0157 memory: 13431 grad_norm: 9.3452 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2181 loss: 1.2181 2022/08/17 20:10:06 - mmengine - INFO - Epoch(train) [253][1900/3757] lr: 6.0227e-05 eta: 1:28:38 time: 0.4353 data_time: 0.0189 memory: 13431 grad_norm: 9.1937 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1055 loss: 1.1055 2022/08/17 20:10:49 - mmengine - INFO - Epoch(train) [253][2000/3757] lr: 6.0227e-05 eta: 1:27:58 time: 0.4142 data_time: 0.0174 memory: 13431 grad_norm: 9.2322 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1336 loss: 1.1336 2022/08/17 20:11:33 - mmengine - INFO - Epoch(train) [253][2100/3757] lr: 6.0227e-05 eta: 1:27:17 time: 0.4452 data_time: 0.0238 memory: 13431 grad_norm: 9.4501 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3529 loss: 1.3529 2022/08/17 20:12:16 - mmengine - INFO - Epoch(train) [253][2200/3757] lr: 6.0227e-05 eta: 1:26:37 time: 0.4271 data_time: 0.0155 memory: 13431 grad_norm: 9.3755 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0152 loss: 1.0152 2022/08/17 20:12:31 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 20:12:58 - mmengine - INFO - Epoch(train) [253][2300/3757] lr: 6.0227e-05 eta: 1:25:56 time: 0.4312 data_time: 0.0179 memory: 13431 grad_norm: 9.5555 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3607 loss: 1.3607 2022/08/17 20:13:41 - mmengine - INFO - Epoch(train) [253][2400/3757] lr: 6.0227e-05 eta: 1:25:16 time: 0.4436 data_time: 0.0190 memory: 13431 grad_norm: 8.9695 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1368 loss: 1.1368 2022/08/17 20:14:24 - mmengine - INFO - Epoch(train) [253][2500/3757] lr: 6.0227e-05 eta: 1:24:35 time: 0.4102 data_time: 0.0176 memory: 13431 grad_norm: 8.9804 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1799 loss: 1.1799 2022/08/17 20:15:07 - mmengine - INFO - Epoch(train) [253][2600/3757] lr: 6.0227e-05 eta: 1:23:55 time: 0.4430 data_time: 0.0204 memory: 13431 grad_norm: 9.2051 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3844 loss: 1.3844 2022/08/17 20:15:49 - mmengine - INFO - Epoch(train) [253][2700/3757] lr: 6.0227e-05 eta: 1:23:15 time: 0.4131 data_time: 0.0153 memory: 13431 grad_norm: 8.7722 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3227 loss: 1.3227 2022/08/17 20:16:33 - mmengine - INFO - Epoch(train) [253][2800/3757] lr: 6.0227e-05 eta: 1:22:34 time: 0.4346 data_time: 0.0160 memory: 13431 grad_norm: 9.3237 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3324 loss: 1.3324 2022/08/17 20:17:17 - mmengine - INFO - Epoch(train) [253][2900/3757] lr: 6.0227e-05 eta: 1:21:54 time: 0.4124 data_time: 0.0151 memory: 13431 grad_norm: 9.4055 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1984 loss: 1.1984 2022/08/17 20:18:00 - mmengine - INFO - Epoch(train) [253][3000/3757] lr: 6.0227e-05 eta: 1:21:13 time: 0.4435 data_time: 0.0195 memory: 13431 grad_norm: 9.2292 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8517 loss: 0.8517 2022/08/17 20:18:43 - mmengine - INFO - Epoch(train) [253][3100/3757] lr: 6.0227e-05 eta: 1:20:33 time: 0.4443 data_time: 0.0212 memory: 13431 grad_norm: 9.2034 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0267 loss: 1.0267 2022/08/17 20:19:27 - mmengine - INFO - Epoch(train) [253][3200/3757] lr: 6.0227e-05 eta: 1:19:52 time: 0.4107 data_time: 0.0157 memory: 13431 grad_norm: 9.3410 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1360 loss: 1.1360 2022/08/17 20:19:42 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 20:20:09 - mmengine - INFO - Epoch(train) [253][3300/3757] lr: 6.0227e-05 eta: 1:19:12 time: 0.4165 data_time: 0.0162 memory: 13431 grad_norm: 9.6089 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2485 loss: 1.2485 2022/08/17 20:20:52 - mmengine - INFO - Epoch(train) [253][3400/3757] lr: 6.0227e-05 eta: 1:18:31 time: 0.4189 data_time: 0.0165 memory: 13431 grad_norm: 9.0103 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9154 loss: 0.9154 2022/08/17 20:21:36 - mmengine - INFO - Epoch(train) [253][3500/3757] lr: 6.0227e-05 eta: 1:17:51 time: 0.4461 data_time: 0.0193 memory: 13431 grad_norm: 9.2899 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2152 loss: 1.2152 2022/08/17 20:22:18 - mmengine - INFO - Epoch(train) [253][3600/3757] lr: 6.0227e-05 eta: 1:17:10 time: 0.4143 data_time: 0.0162 memory: 13431 grad_norm: 9.1682 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0202 loss: 1.0202 2022/08/17 20:23:01 - mmengine - INFO - Epoch(train) [253][3700/3757] lr: 6.0227e-05 eta: 1:16:30 time: 0.4204 data_time: 0.0165 memory: 13431 grad_norm: 9.2934 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0536 loss: 1.0536 2022/08/17 20:23:25 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 20:23:25 - mmengine - INFO - Epoch(train) [253][3757/3757] lr: 6.0227e-05 eta: 1:16:13 time: 0.3963 data_time: 0.0149 memory: 13431 grad_norm: 8.9428 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3539 loss: 1.3539 2022/08/17 20:24:11 - mmengine - INFO - Epoch(train) [254][100/3757] lr: 3.3881e-05 eta: 1:15:26 time: 0.4120 data_time: 0.0155 memory: 13431 grad_norm: 8.9878 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9601 loss: 0.9601 2022/08/17 20:24:55 - mmengine - INFO - Epoch(train) [254][200/3757] lr: 3.3881e-05 eta: 1:14:46 time: 0.4190 data_time: 0.0160 memory: 13431 grad_norm: 9.0965 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1383 loss: 1.1383 2022/08/17 20:25:39 - mmengine - INFO - Epoch(train) [254][300/3757] lr: 3.3881e-05 eta: 1:14:05 time: 0.4518 data_time: 0.0194 memory: 13431 grad_norm: 9.0145 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3396 loss: 1.3396 2022/08/17 20:26:24 - mmengine - INFO - Epoch(train) [254][400/3757] lr: 3.3881e-05 eta: 1:13:25 time: 0.4370 data_time: 0.0174 memory: 13431 grad_norm: 9.0004 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4883 loss: 1.4883 2022/08/17 20:26:58 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 20:27:06 - mmengine - INFO - Epoch(train) [254][500/3757] lr: 3.3881e-05 eta: 1:12:44 time: 0.4104 data_time: 0.0158 memory: 13431 grad_norm: 9.2169 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2851 loss: 1.2851 2022/08/17 20:27:50 - mmengine - INFO - Epoch(train) [254][600/3757] lr: 3.3881e-05 eta: 1:12:04 time: 0.4131 data_time: 0.0163 memory: 13431 grad_norm: 9.4341 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8567 loss: 0.8567 2022/08/17 20:28:33 - mmengine - INFO - Epoch(train) [254][700/3757] lr: 3.3881e-05 eta: 1:11:23 time: 0.4541 data_time: 0.0197 memory: 13431 grad_norm: 9.2996 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1006 loss: 1.1006 2022/08/17 20:29:16 - mmengine - INFO - Epoch(train) [254][800/3757] lr: 3.3881e-05 eta: 1:10:43 time: 0.4223 data_time: 0.0174 memory: 13431 grad_norm: 9.6318 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1107 loss: 1.1107 2022/08/17 20:29:59 - mmengine - INFO - Epoch(train) [254][900/3757] lr: 3.3881e-05 eta: 1:10:02 time: 0.4143 data_time: 0.0170 memory: 13431 grad_norm: 8.8635 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1250 loss: 1.1250 2022/08/17 20:30:42 - mmengine - INFO - Epoch(train) [254][1000/3757] lr: 3.3881e-05 eta: 1:09:22 time: 0.4325 data_time: 0.0190 memory: 13431 grad_norm: 9.4742 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4175 loss: 1.4175 2022/08/17 20:31:26 - mmengine - INFO - Epoch(train) [254][1100/3757] lr: 3.3881e-05 eta: 1:08:41 time: 0.4082 data_time: 0.0161 memory: 13431 grad_norm: 9.6292 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3093 loss: 1.3093 2022/08/17 20:32:10 - mmengine - INFO - Epoch(train) [254][1200/3757] lr: 3.3881e-05 eta: 1:08:01 time: 0.4083 data_time: 0.0151 memory: 13431 grad_norm: 9.0659 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0483 loss: 1.0483 2022/08/17 20:32:53 - mmengine - INFO - Epoch(train) [254][1300/3757] lr: 3.3881e-05 eta: 1:07:20 time: 0.4170 data_time: 0.0149 memory: 13431 grad_norm: 9.4902 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1620 loss: 1.1620 2022/08/17 20:33:37 - mmengine - INFO - Epoch(train) [254][1400/3757] lr: 3.3881e-05 eta: 1:06:40 time: 0.4133 data_time: 0.0156 memory: 13431 grad_norm: 8.8814 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0669 loss: 1.0669 2022/08/17 20:34:11 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 20:34:20 - mmengine - INFO - Epoch(train) [254][1500/3757] lr: 3.3881e-05 eta: 1:05:59 time: 0.4244 data_time: 0.0163 memory: 13431 grad_norm: 9.2665 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2298 loss: 1.2298 2022/08/17 20:35:02 - mmengine - INFO - Epoch(train) [254][1600/3757] lr: 3.3881e-05 eta: 1:05:19 time: 0.4272 data_time: 0.0168 memory: 13431 grad_norm: 8.9464 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9485 loss: 0.9485 2022/08/17 20:35:45 - mmengine - INFO - Epoch(train) [254][1700/3757] lr: 3.3881e-05 eta: 1:04:38 time: 0.4161 data_time: 0.0173 memory: 13431 grad_norm: 9.2022 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2029 loss: 1.2029 2022/08/17 20:36:28 - mmengine - INFO - Epoch(train) [254][1800/3757] lr: 3.3881e-05 eta: 1:03:58 time: 0.4123 data_time: 0.0163 memory: 13431 grad_norm: 9.4020 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9309 loss: 0.9309 2022/08/17 20:37:11 - mmengine - INFO - Epoch(train) [254][1900/3757] lr: 3.3881e-05 eta: 1:03:17 time: 0.4095 data_time: 0.0162 memory: 13431 grad_norm: 9.0477 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0272 loss: 1.0272 2022/08/17 20:37:55 - mmengine - INFO - Epoch(train) [254][2000/3757] lr: 3.3881e-05 eta: 1:02:37 time: 0.4336 data_time: 0.0167 memory: 13431 grad_norm: 9.1604 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1209 loss: 1.1209 2022/08/17 20:38:40 - mmengine - INFO - Epoch(train) [254][2100/3757] lr: 3.3881e-05 eta: 1:01:56 time: 0.4107 data_time: 0.0167 memory: 13431 grad_norm: 8.9247 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1284 loss: 1.1284 2022/08/17 20:39:23 - mmengine - INFO - Epoch(train) [254][2200/3757] lr: 3.3881e-05 eta: 1:01:16 time: 0.4197 data_time: 0.0164 memory: 13431 grad_norm: 8.9508 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9425 loss: 0.9425 2022/08/17 20:40:06 - mmengine - INFO - Epoch(train) [254][2300/3757] lr: 3.3881e-05 eta: 1:00:35 time: 0.4462 data_time: 0.0205 memory: 13431 grad_norm: 9.4480 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2965 loss: 1.2965 2022/08/17 20:40:49 - mmengine - INFO - Epoch(train) [254][2400/3757] lr: 3.3881e-05 eta: 0:59:55 time: 0.4189 data_time: 0.0155 memory: 13431 grad_norm: 9.2930 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3528 loss: 1.3528 2022/08/17 20:41:22 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 20:41:33 - mmengine - INFO - Epoch(train) [254][2500/3757] lr: 3.3881e-05 eta: 0:59:14 time: 0.4939 data_time: 0.0177 memory: 13431 grad_norm: 9.3116 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1144 loss: 1.1144 2022/08/17 20:42:15 - mmengine - INFO - Epoch(train) [254][2600/3757] lr: 3.3881e-05 eta: 0:58:34 time: 0.4103 data_time: 0.0162 memory: 13431 grad_norm: 9.7146 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3871 loss: 1.3871 2022/08/17 20:42:59 - mmengine - INFO - Epoch(train) [254][2700/3757] lr: 3.3881e-05 eta: 0:57:53 time: 0.4304 data_time: 0.0155 memory: 13431 grad_norm: 9.2891 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1468 loss: 1.1468 2022/08/17 20:43:43 - mmengine - INFO - Epoch(train) [254][2800/3757] lr: 3.3881e-05 eta: 0:57:13 time: 0.4104 data_time: 0.0155 memory: 13431 grad_norm: 9.5376 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1846 loss: 1.1846 2022/08/17 20:44:25 - mmengine - INFO - Epoch(train) [254][2900/3757] lr: 3.3881e-05 eta: 0:56:32 time: 0.4105 data_time: 0.0151 memory: 13431 grad_norm: 8.6743 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0095 loss: 1.0095 2022/08/17 20:45:08 - mmengine - INFO - Epoch(train) [254][3000/3757] lr: 3.3881e-05 eta: 0:55:52 time: 0.4263 data_time: 0.0179 memory: 13431 grad_norm: 9.0618 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1279 loss: 1.1279 2022/08/17 20:45:50 - mmengine - INFO - Epoch(train) [254][3100/3757] lr: 3.3881e-05 eta: 0:55:11 time: 0.4208 data_time: 0.0165 memory: 13431 grad_norm: 9.4198 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9982 loss: 0.9982 2022/08/17 20:46:33 - mmengine - INFO - Epoch(train) [254][3200/3757] lr: 3.3881e-05 eta: 0:54:31 time: 0.4276 data_time: 0.0179 memory: 13431 grad_norm: 9.0331 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1744 loss: 1.1744 2022/08/17 20:47:16 - mmengine - INFO - Epoch(train) [254][3300/3757] lr: 3.3881e-05 eta: 0:53:50 time: 0.4117 data_time: 0.0163 memory: 13431 grad_norm: 9.2063 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2229 loss: 1.2229 2022/08/17 20:47:59 - mmengine - INFO - Epoch(train) [254][3400/3757] lr: 3.3881e-05 eta: 0:53:10 time: 0.4100 data_time: 0.0160 memory: 13431 grad_norm: 8.6260 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0758 loss: 1.0758 2022/08/17 20:48:32 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 20:48:41 - mmengine - INFO - Epoch(train) [254][3500/3757] lr: 3.3881e-05 eta: 0:52:29 time: 0.4136 data_time: 0.0163 memory: 13431 grad_norm: 9.1473 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3870 loss: 1.3870 2022/08/17 20:49:24 - mmengine - INFO - Epoch(train) [254][3600/3757] lr: 3.3881e-05 eta: 0:51:48 time: 0.4155 data_time: 0.0164 memory: 13431 grad_norm: 8.9315 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2033 loss: 1.2033 2022/08/17 20:50:06 - mmengine - INFO - Epoch(train) [254][3700/3757] lr: 3.3881e-05 eta: 0:51:08 time: 0.4118 data_time: 0.0159 memory: 13431 grad_norm: 9.1465 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2568 loss: 1.2568 2022/08/17 20:50:30 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 20:50:30 - mmengine - INFO - Epoch(train) [254][3757/3757] lr: 3.3881e-05 eta: 0:50:52 time: 0.3981 data_time: 0.0145 memory: 13431 grad_norm: 9.5311 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.0993 loss: 1.0993 2022/08/17 20:51:16 - mmengine - INFO - Epoch(train) [255][100/3757] lr: 1.5059e-05 eta: 0:50:04 time: 0.4346 data_time: 0.0194 memory: 13431 grad_norm: 9.1446 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9385 loss: 0.9385 2022/08/17 20:52:00 - mmengine - INFO - Epoch(train) [255][200/3757] lr: 1.5059e-05 eta: 0:49:24 time: 0.4502 data_time: 0.0199 memory: 13431 grad_norm: 9.2150 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3501 loss: 1.3501 2022/08/17 20:52:42 - mmengine - INFO - Epoch(train) [255][300/3757] lr: 1.5059e-05 eta: 0:48:43 time: 0.4114 data_time: 0.0155 memory: 13431 grad_norm: 9.2804 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0061 loss: 1.0061 2022/08/17 20:53:25 - mmengine - INFO - Epoch(train) [255][400/3757] lr: 1.5059e-05 eta: 0:48:03 time: 0.4143 data_time: 0.0159 memory: 13431 grad_norm: 9.0722 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1435 loss: 1.1435 2022/08/17 20:54:09 - mmengine - INFO - Epoch(train) [255][500/3757] lr: 1.5059e-05 eta: 0:47:22 time: 0.4440 data_time: 0.0194 memory: 13431 grad_norm: 9.0630 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0239 loss: 1.0239 2022/08/17 20:54:52 - mmengine - INFO - Epoch(train) [255][600/3757] lr: 1.5059e-05 eta: 0:46:42 time: 0.4494 data_time: 0.0187 memory: 13431 grad_norm: 9.1239 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9915 loss: 0.9915 2022/08/17 20:55:34 - mmengine - INFO - Epoch(train) [255][700/3757] lr: 1.5059e-05 eta: 0:46:01 time: 0.4374 data_time: 0.0163 memory: 13431 grad_norm: 8.9346 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8420 loss: 0.8420 2022/08/17 20:55:43 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 20:56:17 - mmengine - INFO - Epoch(train) [255][800/3757] lr: 1.5059e-05 eta: 0:45:21 time: 0.4527 data_time: 0.0183 memory: 13431 grad_norm: 9.0534 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1487 loss: 1.1487 2022/08/17 20:57:00 - mmengine - INFO - Epoch(train) [255][900/3757] lr: 1.5059e-05 eta: 0:44:40 time: 0.4351 data_time: 0.0218 memory: 13431 grad_norm: 9.2309 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9818 loss: 0.9818 2022/08/17 20:57:42 - mmengine - INFO - Epoch(train) [255][1000/3757] lr: 1.5059e-05 eta: 0:44:00 time: 0.4456 data_time: 0.0190 memory: 13431 grad_norm: 8.9694 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2878 loss: 1.2878 2022/08/17 20:58:25 - mmengine - INFO - Epoch(train) [255][1100/3757] lr: 1.5059e-05 eta: 0:43:19 time: 0.4163 data_time: 0.0155 memory: 13431 grad_norm: 9.2745 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3805 loss: 1.3805 2022/08/17 20:59:07 - mmengine - INFO - Epoch(train) [255][1200/3757] lr: 1.5059e-05 eta: 0:42:39 time: 0.4111 data_time: 0.0156 memory: 13431 grad_norm: 9.2896 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3059 loss: 1.3059 2022/08/17 20:59:50 - mmengine - INFO - Epoch(train) [255][1300/3757] lr: 1.5059e-05 eta: 0:41:58 time: 0.4252 data_time: 0.0178 memory: 13431 grad_norm: 9.2253 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0277 loss: 1.0277 2022/08/17 21:00:32 - mmengine - INFO - Epoch(train) [255][1400/3757] lr: 1.5059e-05 eta: 0:41:18 time: 0.4188 data_time: 0.0164 memory: 13431 grad_norm: 9.3520 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1409 loss: 1.1409 2022/08/17 21:01:15 - mmengine - INFO - Epoch(train) [255][1500/3757] lr: 1.5059e-05 eta: 0:40:37 time: 0.4172 data_time: 0.0175 memory: 13431 grad_norm: 9.4579 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2817 loss: 1.2817 2022/08/17 21:01:58 - mmengine - INFO - Epoch(train) [255][1600/3757] lr: 1.5059e-05 eta: 0:39:57 time: 0.4424 data_time: 0.0187 memory: 13431 grad_norm: 8.6036 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8914 loss: 0.8914 2022/08/17 21:02:40 - mmengine - INFO - Epoch(train) [255][1700/3757] lr: 1.5059e-05 eta: 0:39:16 time: 0.4122 data_time: 0.0157 memory: 13431 grad_norm: 9.1175 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9447 loss: 0.9447 2022/08/17 21:02:49 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 21:03:24 - mmengine - INFO - Epoch(train) [255][1800/3757] lr: 1.5059e-05 eta: 0:38:36 time: 0.4577 data_time: 0.0199 memory: 13431 grad_norm: 9.3115 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2664 loss: 1.2664 2022/08/17 21:04:06 - mmengine - INFO - Epoch(train) [255][1900/3757] lr: 1.5059e-05 eta: 0:37:55 time: 0.4095 data_time: 0.0155 memory: 13431 grad_norm: 8.8816 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9478 loss: 0.9478 2022/08/17 21:04:48 - mmengine - INFO - Epoch(train) [255][2000/3757] lr: 1.5059e-05 eta: 0:37:14 time: 0.4117 data_time: 0.0159 memory: 13431 grad_norm: 9.1945 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1568 loss: 1.1568 2022/08/17 21:05:31 - mmengine - INFO - Epoch(train) [255][2100/3757] lr: 1.5059e-05 eta: 0:36:34 time: 0.4474 data_time: 0.0185 memory: 13431 grad_norm: 9.5515 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0180 loss: 1.0180 2022/08/17 21:06:15 - mmengine - INFO - Epoch(train) [255][2200/3757] lr: 1.5059e-05 eta: 0:35:53 time: 0.4307 data_time: 0.0155 memory: 13431 grad_norm: 9.0908 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0695 loss: 1.0695 2022/08/17 21:06:57 - mmengine - INFO - Epoch(train) [255][2300/3757] lr: 1.5059e-05 eta: 0:35:13 time: 0.4419 data_time: 0.0189 memory: 13431 grad_norm: 9.1255 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1850 loss: 1.1850 2022/08/17 21:07:40 - mmengine - INFO - Epoch(train) [255][2400/3757] lr: 1.5059e-05 eta: 0:34:32 time: 0.4225 data_time: 0.0159 memory: 13431 grad_norm: 9.4231 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3900 loss: 1.3900 2022/08/17 21:08:23 - mmengine - INFO - Epoch(train) [255][2500/3757] lr: 1.5059e-05 eta: 0:33:52 time: 0.4114 data_time: 0.0179 memory: 13431 grad_norm: 9.2818 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1665 loss: 1.1665 2022/08/17 21:09:06 - mmengine - INFO - Epoch(train) [255][2600/3757] lr: 1.5059e-05 eta: 0:33:11 time: 0.4157 data_time: 0.0167 memory: 13431 grad_norm: 9.0469 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0927 loss: 1.0927 2022/08/17 21:09:49 - mmengine - INFO - Epoch(train) [255][2700/3757] lr: 1.5059e-05 eta: 0:32:31 time: 0.4115 data_time: 0.0161 memory: 13431 grad_norm: 9.2697 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2453 loss: 1.2453 2022/08/17 21:09:58 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 21:10:31 - mmengine - INFO - Epoch(train) [255][2800/3757] lr: 1.5059e-05 eta: 0:31:50 time: 0.4135 data_time: 0.0155 memory: 13431 grad_norm: 9.0035 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2704 loss: 1.2704 2022/08/17 21:11:14 - mmengine - INFO - Epoch(train) [255][2900/3757] lr: 1.5059e-05 eta: 0:31:10 time: 0.4172 data_time: 0.0159 memory: 13431 grad_norm: 8.9290 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0367 loss: 1.0367 2022/08/17 21:11:56 - mmengine - INFO - Epoch(train) [255][3000/3757] lr: 1.5059e-05 eta: 0:30:29 time: 0.4382 data_time: 0.0181 memory: 13431 grad_norm: 8.9977 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1869 loss: 1.1869 2022/08/17 21:12:39 - mmengine - INFO - Epoch(train) [255][3100/3757] lr: 1.5059e-05 eta: 0:29:49 time: 0.4106 data_time: 0.0157 memory: 13431 grad_norm: 9.6655 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0630 loss: 1.0630 2022/08/17 21:13:22 - mmengine - INFO - Epoch(train) [255][3200/3757] lr: 1.5059e-05 eta: 0:29:08 time: 0.4313 data_time: 0.0189 memory: 13431 grad_norm: 9.0912 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1889 loss: 1.1889 2022/08/17 21:14:04 - mmengine - INFO - Epoch(train) [255][3300/3757] lr: 1.5059e-05 eta: 0:28:28 time: 0.4197 data_time: 0.0180 memory: 13431 grad_norm: 9.1012 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0208 loss: 1.0208 2022/08/17 21:14:48 - mmengine - INFO - Epoch(train) [255][3400/3757] lr: 1.5059e-05 eta: 0:27:47 time: 0.4881 data_time: 0.0178 memory: 13431 grad_norm: 9.1597 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0592 loss: 1.0592 2022/08/17 21:15:30 - mmengine - INFO - Epoch(train) [255][3500/3757] lr: 1.5059e-05 eta: 0:27:07 time: 0.4156 data_time: 0.0171 memory: 13431 grad_norm: 9.2725 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0020 loss: 1.0020 2022/08/17 21:16:13 - mmengine - INFO - Epoch(train) [255][3600/3757] lr: 1.5059e-05 eta: 0:26:26 time: 0.4286 data_time: 0.0162 memory: 13431 grad_norm: 9.2805 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9904 loss: 0.9904 2022/08/17 21:16:56 - mmengine - INFO - Epoch(train) [255][3700/3757] lr: 1.5059e-05 eta: 0:25:46 time: 0.4289 data_time: 0.0191 memory: 13431 grad_norm: 9.4371 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2314 loss: 1.2314 2022/08/17 21:17:05 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 21:17:19 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 21:17:19 - mmengine - INFO - Epoch(train) [255][3757/3757] lr: 1.5059e-05 eta: 0:25:29 time: 0.3978 data_time: 0.0151 memory: 13431 grad_norm: 9.5641 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.1087 loss: 1.1087 2022/08/17 21:17:42 - mmengine - INFO - Epoch(val) [255][100/310] eta: 0:00:52 time: 0.2479 data_time: 0.1133 memory: 1974 2022/08/17 21:18:03 - mmengine - INFO - Epoch(val) [255][200/310] eta: 0:00:22 time: 0.2028 data_time: 0.0726 memory: 1974 2022/08/17 21:18:24 - mmengine - INFO - Epoch(val) [255][300/310] eta: 0:00:02 time: 0.2116 data_time: 0.0804 memory: 1974 2022/08/17 21:18:29 - mmengine - INFO - Epoch(val) [255][310/310] acc/top1: 0.7111 acc/top5: 0.8971 acc/mean1: 0.7110 2022/08/17 21:18:29 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb/best_acc/top1_epoch_251.pth is removed 2022/08/17 21:18:34 - mmengine - INFO - The best checkpoint with 0.7111 acc/top1 at 256 epoch is saved to best_acc/top1_epoch_256.pth. 2022/08/17 21:19:17 - mmengine - INFO - Epoch(train) [256][100/3757] lr: 3.7649e-06 eta: 0:24:42 time: 0.4271 data_time: 0.0175 memory: 13431 grad_norm: 9.1172 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1972 loss: 1.1972 2022/08/17 21:19:59 - mmengine - INFO - Epoch(train) [256][200/3757] lr: 3.7649e-06 eta: 0:24:01 time: 0.4147 data_time: 0.0196 memory: 13431 grad_norm: 8.9737 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1027 loss: 1.1027 2022/08/17 21:20:42 - mmengine - INFO - Epoch(train) [256][300/3757] lr: 3.7649e-06 eta: 0:23:21 time: 0.4274 data_time: 0.0176 memory: 13431 grad_norm: 9.3219 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0949 loss: 1.0949 2022/08/17 21:21:24 - mmengine - INFO - Epoch(train) [256][400/3757] lr: 3.7649e-06 eta: 0:22:40 time: 0.4326 data_time: 0.0157 memory: 13431 grad_norm: 9.4460 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0649 loss: 1.0649 2022/08/17 21:22:07 - mmengine - INFO - Epoch(train) [256][500/3757] lr: 3.7649e-06 eta: 0:22:00 time: 0.4124 data_time: 0.0151 memory: 13431 grad_norm: 8.8710 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9355 loss: 0.9355 2022/08/17 21:22:50 - mmengine - INFO - Epoch(train) [256][600/3757] lr: 3.7649e-06 eta: 0:21:19 time: 0.4124 data_time: 0.0166 memory: 13431 grad_norm: 9.5186 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3518 loss: 1.3518 2022/08/17 21:23:33 - mmengine - INFO - Epoch(train) [256][700/3757] lr: 3.7649e-06 eta: 0:20:39 time: 0.4305 data_time: 0.0156 memory: 13431 grad_norm: 9.7586 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0532 loss: 1.0532 2022/08/17 21:24:16 - mmengine - INFO - Epoch(train) [256][800/3757] lr: 3.7649e-06 eta: 0:19:58 time: 0.4100 data_time: 0.0170 memory: 13431 grad_norm: 9.7230 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1093 loss: 1.1093 2022/08/17 21:24:59 - mmengine - INFO - Epoch(train) [256][900/3757] lr: 3.7649e-06 eta: 0:19:18 time: 0.4209 data_time: 0.0193 memory: 13431 grad_norm: 9.0934 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1328 loss: 1.1328 2022/08/17 21:25:27 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 21:25:42 - mmengine - INFO - Epoch(train) [256][1000/3757] lr: 3.7649e-06 eta: 0:18:37 time: 0.4235 data_time: 0.0167 memory: 13431 grad_norm: 8.9409 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1294 loss: 1.1294 2022/08/17 21:26:24 - mmengine - INFO - Epoch(train) [256][1100/3757] lr: 3.7649e-06 eta: 0:17:57 time: 0.4161 data_time: 0.0161 memory: 13431 grad_norm: 8.9310 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2271 loss: 1.2271 2022/08/17 21:27:06 - mmengine - INFO - Epoch(train) [256][1200/3757] lr: 3.7649e-06 eta: 0:17:16 time: 0.4419 data_time: 0.0216 memory: 13431 grad_norm: 9.0756 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3210 loss: 1.3210 2022/08/17 21:27:49 - mmengine - INFO - Epoch(train) [256][1300/3757] lr: 3.7649e-06 eta: 0:16:36 time: 0.4280 data_time: 0.0177 memory: 13431 grad_norm: 9.4156 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0341 loss: 1.0341 2022/08/17 21:28:32 - mmengine - INFO - Epoch(train) [256][1400/3757] lr: 3.7649e-06 eta: 0:15:55 time: 0.4157 data_time: 0.0158 memory: 13431 grad_norm: 9.2222 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0755 loss: 1.0755 2022/08/17 21:29:14 - mmengine - INFO - Epoch(train) [256][1500/3757] lr: 3.7649e-06 eta: 0:15:14 time: 0.4109 data_time: 0.0155 memory: 13431 grad_norm: 9.0685 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3035 loss: 1.3035 2022/08/17 21:29:57 - mmengine - INFO - Epoch(train) [256][1600/3757] lr: 3.7649e-06 eta: 0:14:34 time: 0.4231 data_time: 0.0170 memory: 13431 grad_norm: 9.2592 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0586 loss: 1.0586 2022/08/17 21:30:39 - mmengine - INFO - Epoch(train) [256][1700/3757] lr: 3.7649e-06 eta: 0:13:53 time: 0.4324 data_time: 0.0191 memory: 13431 grad_norm: 9.4112 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2324 loss: 1.2324 2022/08/17 21:31:21 - mmengine - INFO - Epoch(train) [256][1800/3757] lr: 3.7649e-06 eta: 0:13:13 time: 0.4101 data_time: 0.0168 memory: 13431 grad_norm: 9.2379 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2212 loss: 1.2212 2022/08/17 21:32:04 - mmengine - INFO - Epoch(train) [256][1900/3757] lr: 3.7649e-06 eta: 0:12:32 time: 0.4329 data_time: 0.0183 memory: 13431 grad_norm: 9.3224 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1635 loss: 1.1635 2022/08/17 21:32:32 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 21:32:47 - mmengine - INFO - Epoch(train) [256][2000/3757] lr: 3.7649e-06 eta: 0:11:52 time: 0.4294 data_time: 0.0177 memory: 13431 grad_norm: 9.7603 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3304 loss: 1.3304 2022/08/17 21:33:29 - mmengine - INFO - Epoch(train) [256][2100/3757] lr: 3.7649e-06 eta: 0:11:11 time: 0.4296 data_time: 0.0162 memory: 13431 grad_norm: 9.2417 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9121 loss: 0.9121 2022/08/17 21:34:11 - mmengine - INFO - Epoch(train) [256][2200/3757] lr: 3.7649e-06 eta: 0:10:31 time: 0.4120 data_time: 0.0165 memory: 13431 grad_norm: 8.7926 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0404 loss: 1.0404 2022/08/17 21:34:54 - mmengine - INFO - Epoch(train) [256][2300/3757] lr: 3.7649e-06 eta: 0:09:50 time: 0.4284 data_time: 0.0185 memory: 13431 grad_norm: 9.0992 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1145 loss: 1.1145 2022/08/17 21:35:37 - mmengine - INFO - Epoch(train) [256][2400/3757] lr: 3.7649e-06 eta: 0:09:10 time: 0.4614 data_time: 0.0177 memory: 13431 grad_norm: 9.4569 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3210 loss: 1.3210 2022/08/17 21:36:20 - mmengine - INFO - Epoch(train) [256][2500/3757] lr: 3.7649e-06 eta: 0:08:29 time: 0.4375 data_time: 0.0168 memory: 13431 grad_norm: 9.2485 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2808 loss: 1.2808 2022/08/17 21:37:04 - mmengine - INFO - Epoch(train) [256][2600/3757] lr: 3.7649e-06 eta: 0:07:49 time: 0.4717 data_time: 0.0168 memory: 13431 grad_norm: 9.3214 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0908 loss: 1.0908 2022/08/17 21:37:46 - mmengine - INFO - Epoch(train) [256][2700/3757] lr: 3.7649e-06 eta: 0:07:08 time: 0.4269 data_time: 0.0181 memory: 13431 grad_norm: 9.2188 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3670 loss: 1.3670 2022/08/17 21:38:29 - mmengine - INFO - Epoch(train) [256][2800/3757] lr: 3.7649e-06 eta: 0:06:27 time: 0.4459 data_time: 0.0186 memory: 13431 grad_norm: 9.1929 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0374 loss: 1.0374 2022/08/17 21:39:12 - mmengine - INFO - Epoch(train) [256][2900/3757] lr: 3.7649e-06 eta: 0:05:47 time: 0.4114 data_time: 0.0157 memory: 13431 grad_norm: 9.2959 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3866 loss: 1.3866 2022/08/17 21:39:40 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 21:39:54 - mmengine - INFO - Epoch(train) [256][3000/3757] lr: 3.7649e-06 eta: 0:05:06 time: 0.4239 data_time: 0.0170 memory: 13431 grad_norm: 9.1366 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2179 loss: 1.2179 2022/08/17 21:40:36 - mmengine - INFO - Epoch(train) [256][3100/3757] lr: 3.7649e-06 eta: 0:04:26 time: 0.4118 data_time: 0.0162 memory: 13431 grad_norm: 8.8725 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8991 loss: 0.8991 2022/08/17 21:41:19 - mmengine - INFO - Epoch(train) [256][3200/3757] lr: 3.7649e-06 eta: 0:03:45 time: 0.4249 data_time: 0.0199 memory: 13431 grad_norm: 9.7102 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3051 loss: 1.3051 2022/08/17 21:42:02 - mmengine - INFO - Epoch(train) [256][3300/3757] lr: 3.7649e-06 eta: 0:03:05 time: 0.4124 data_time: 0.0156 memory: 13431 grad_norm: 9.3087 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0182 loss: 1.0182 2022/08/17 21:42:45 - mmengine - INFO - Epoch(train) [256][3400/3757] lr: 3.7649e-06 eta: 0:02:24 time: 0.4644 data_time: 0.0184 memory: 13431 grad_norm: 9.2495 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9531 loss: 0.9531 2022/08/17 21:43:28 - mmengine - INFO - Epoch(train) [256][3500/3757] lr: 3.7649e-06 eta: 0:01:44 time: 0.4174 data_time: 0.0159 memory: 13431 grad_norm: 9.1362 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1130 loss: 1.1130 2022/08/17 21:44:11 - mmengine - INFO - Epoch(train) [256][3600/3757] lr: 3.7649e-06 eta: 0:01:03 time: 0.4168 data_time: 0.0180 memory: 13431 grad_norm: 8.9684 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0716 loss: 1.0716 2022/08/17 21:44:53 - mmengine - INFO - Epoch(train) [256][3700/3757] lr: 3.7649e-06 eta: 0:00:23 time: 0.4184 data_time: 0.0162 memory: 13431 grad_norm: 8.9424 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1676 loss: 1.1676 2022/08/17 21:45:17 - mmengine - INFO - Exp name: slowfast_r101_8x8x1_256e_8xb8_kinetics400_rgb_20220813_072904 2022/08/17 21:45:17 - mmengine - INFO - Epoch(train) [256][3757/3757] lr: 3.7649e-06 eta: 0:00:06 time: 0.4017 data_time: 0.0146 memory: 13431 grad_norm: 8.5727 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0955 loss: 1.0955 2022/08/17 21:45:18 - mmengine - INFO - Saving checkpoint at 256 epochs