2022/08/20 01:59:15 - mmengine - INFO - Checkpoints will be saved to /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb by HardDiskBackend. 2022/08/20 02:02:05 - mmengine - INFO - Epoch(train) [1][100/940] lr: 4.1115e-02 eta: 4 days, 17:33:29 time: 0.4001 data_time: 0.0135 memory: 8039 grad_norm: 1.8622 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.7124 loss: 5.7124 2022/08/20 02:02:42 - mmengine - INFO - Epoch(train) [1][200/940] lr: 4.2242e-02 eta: 2 days, 21:24:41 time: 0.3879 data_time: 0.0121 memory: 8039 grad_norm: 1.6669 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.7578 loss: 5.7578 2022/08/20 02:03:21 - mmengine - INFO - Epoch(train) [1][300/940] lr: 4.3368e-02 eta: 2 days, 6:50:17 time: 0.3847 data_time: 0.0110 memory: 8039 grad_norm: 1.5732 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.5417 loss: 5.5417 2022/08/20 02:03:59 - mmengine - INFO - Epoch(train) [1][400/940] lr: 4.4495e-02 eta: 1 day, 23:22:20 time: 0.3714 data_time: 0.0114 memory: 8039 grad_norm: 1.5031 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.2340 loss: 5.2340 2022/08/20 02:04:37 - mmengine - INFO - Epoch(train) [1][500/940] lr: 4.5621e-02 eta: 1 day, 18:56:58 time: 0.3662 data_time: 0.0115 memory: 8039 grad_norm: 1.4458 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.4197 loss: 5.4197 2022/08/20 02:05:15 - mmengine - INFO - Epoch(train) [1][600/940] lr: 4.6747e-02 eta: 1 day, 15:59:58 time: 0.3747 data_time: 0.0117 memory: 8039 grad_norm: 1.3917 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.3893 loss: 5.3893 2022/08/20 02:05:53 - mmengine - INFO - Epoch(train) [1][700/940] lr: 4.7874e-02 eta: 1 day, 13:57:04 time: 0.3758 data_time: 0.0123 memory: 8039 grad_norm: 1.3696 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.2299 loss: 5.2299 2022/08/20 02:06:31 - mmengine - INFO - Epoch(train) [1][800/940] lr: 4.9000e-02 eta: 1 day, 12:21:23 time: 0.3742 data_time: 0.0124 memory: 8039 grad_norm: 1.3273 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.1854 loss: 5.1854 2022/08/20 02:07:09 - mmengine - INFO - Epoch(train) [1][900/940] lr: 5.0127e-02 eta: 1 day, 11:05:20 time: 0.4062 data_time: 0.0143 memory: 8039 grad_norm: 1.2858 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.4382 loss: 5.4382 2022/08/20 02:07:24 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 02:07:24 - mmengine - INFO - Epoch(train) [1][940/940] lr: 5.0577e-02 eta: 1 day, 10:39:56 time: 0.3871 data_time: 0.0119 memory: 8039 grad_norm: 1.3821 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.3788 loss: 5.3788 2022/08/20 02:07:49 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 02:08:04 - mmengine - INFO - Epoch(train) [2][100/940] lr: 5.1702e-02 eta: 1 day, 9:53:53 time: 0.3978 data_time: 0.0148 memory: 8039 grad_norm: 1.3056 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.2090 loss: 5.2090 2022/08/20 02:08:42 - mmengine - INFO - Epoch(train) [2][200/940] lr: 5.2828e-02 eta: 1 day, 9:07:14 time: 0.3973 data_time: 0.0148 memory: 8039 grad_norm: 1.2494 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.0930 loss: 5.0930 2022/08/20 02:09:20 - mmengine - INFO - Epoch(train) [2][300/940] lr: 5.3955e-02 eta: 1 day, 8:26:44 time: 0.3727 data_time: 0.0143 memory: 8039 grad_norm: 1.2625 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.2931 loss: 5.2931 2022/08/20 02:09:57 - mmengine - INFO - Epoch(train) [2][400/940] lr: 5.5081e-02 eta: 1 day, 7:52:23 time: 0.3654 data_time: 0.0142 memory: 8039 grad_norm: 1.2416 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.9121 loss: 4.9121 2022/08/20 02:10:35 - mmengine - INFO - Epoch(train) [2][500/940] lr: 5.6207e-02 eta: 1 day, 7:23:17 time: 0.3699 data_time: 0.0141 memory: 8039 grad_norm: 1.2537 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.3017 loss: 5.3017 2022/08/20 02:11:13 - mmengine - INFO - Epoch(train) [2][600/940] lr: 5.7334e-02 eta: 1 day, 6:57:13 time: 0.3704 data_time: 0.0157 memory: 8039 grad_norm: 1.1660 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.1889 loss: 5.1889 2022/08/20 02:11:50 - mmengine - INFO - Epoch(train) [2][700/940] lr: 5.8460e-02 eta: 1 day, 6:35:20 time: 0.3633 data_time: 0.0145 memory: 8039 grad_norm: 1.2284 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.3109 loss: 5.3109 2022/08/20 02:12:28 - mmengine - INFO - Epoch(train) [2][800/940] lr: 5.9587e-02 eta: 1 day, 6:15:14 time: 0.3827 data_time: 0.0155 memory: 8039 grad_norm: 1.1919 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.2731 loss: 5.2731 2022/08/20 02:13:06 - mmengine - INFO - Epoch(train) [2][900/940] lr: 6.0713e-02 eta: 1 day, 5:57:39 time: 0.4014 data_time: 0.0156 memory: 8039 grad_norm: 1.1862 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 5.0868 loss: 5.0868 2022/08/20 02:13:21 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 02:13:21 - mmengine - INFO - Epoch(train) [2][940/940] lr: 6.1164e-02 eta: 1 day, 5:50:09 time: 0.3629 data_time: 0.0139 memory: 8039 grad_norm: 1.2101 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 4.9298 loss: 4.9298 2022/08/20 02:14:00 - mmengine - INFO - Epoch(train) [3][100/940] lr: 6.2283e-02 eta: 1 day, 5:37:31 time: 0.3708 data_time: 0.0159 memory: 8039 grad_norm: 1.1712 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.0676 loss: 5.0676 2022/08/20 02:14:07 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 02:14:37 - mmengine - INFO - Epoch(train) [3][200/940] lr: 6.3409e-02 eta: 1 day, 5:23:37 time: 0.3623 data_time: 0.0165 memory: 8039 grad_norm: 1.1693 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.9851 loss: 4.9851 2022/08/20 02:15:15 - mmengine - INFO - Epoch(train) [3][300/940] lr: 6.4535e-02 eta: 1 day, 5:11:17 time: 0.3697 data_time: 0.0150 memory: 8039 grad_norm: 1.1733 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.0636 loss: 5.0636 2022/08/20 02:15:54 - mmengine - INFO - Epoch(train) [3][400/940] lr: 6.5662e-02 eta: 1 day, 5:00:23 time: 0.3677 data_time: 0.0148 memory: 8039 grad_norm: 1.1200 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.9659 loss: 4.9659 2022/08/20 02:16:31 - mmengine - INFO - Epoch(train) [3][500/940] lr: 6.6788e-02 eta: 1 day, 4:48:58 time: 0.3633 data_time: 0.0150 memory: 8039 grad_norm: 1.1537 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.0102 loss: 5.0102 2022/08/20 02:17:09 - mmengine - INFO - Epoch(train) [3][600/940] lr: 6.7914e-02 eta: 1 day, 4:39:47 time: 0.3833 data_time: 0.0158 memory: 8039 grad_norm: 1.1579 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.8956 loss: 4.8956 2022/08/20 02:17:47 - mmengine - INFO - Epoch(train) [3][700/940] lr: 6.9041e-02 eta: 1 day, 4:30:08 time: 0.3768 data_time: 0.0160 memory: 8039 grad_norm: 1.1500 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.0881 loss: 5.0881 2022/08/20 02:18:26 - mmengine - INFO - Epoch(train) [3][800/940] lr: 7.0167e-02 eta: 1 day, 4:23:49 time: 0.4484 data_time: 0.0157 memory: 8039 grad_norm: 1.1730 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.7439 loss: 4.7439 2022/08/20 02:19:05 - mmengine - INFO - Epoch(train) [3][900/940] lr: 7.1293e-02 eta: 1 day, 4:16:39 time: 0.4200 data_time: 0.0162 memory: 8039 grad_norm: 1.1298 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.9512 loss: 4.9512 2022/08/20 02:19:19 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 02:19:19 - mmengine - INFO - Epoch(train) [3][940/940] lr: 7.1744e-02 eta: 1 day, 4:12:46 time: 0.3563 data_time: 0.0141 memory: 8039 grad_norm: 1.1559 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.8433 loss: 4.8433 2022/08/20 02:19:59 - mmengine - INFO - Epoch(train) [4][100/940] lr: 7.2856e-02 eta: 1 day, 4:07:29 time: 0.3679 data_time: 0.0153 memory: 8039 grad_norm: 1.1350 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.8050 loss: 4.8050 2022/08/20 02:20:31 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 02:20:38 - mmengine - INFO - Epoch(train) [4][200/940] lr: 7.3982e-02 eta: 1 day, 4:02:25 time: 0.3616 data_time: 0.0143 memory: 8039 grad_norm: 1.1498 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.8655 loss: 4.8655 2022/08/20 02:21:15 - mmengine - INFO - Epoch(train) [4][300/940] lr: 7.5108e-02 eta: 1 day, 3:55:17 time: 0.3789 data_time: 0.0158 memory: 8039 grad_norm: 1.1202 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.7137 loss: 4.7137 2022/08/20 02:21:54 - mmengine - INFO - Epoch(train) [4][400/940] lr: 7.6234e-02 eta: 1 day, 3:50:15 time: 0.4205 data_time: 0.0154 memory: 8039 grad_norm: 1.1437 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.6262 loss: 4.6262 2022/08/20 02:22:31 - mmengine - INFO - Epoch(train) [4][500/940] lr: 7.7360e-02 eta: 1 day, 3:43:35 time: 0.3709 data_time: 0.0153 memory: 8039 grad_norm: 1.1194 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.9975 loss: 4.9975 2022/08/20 02:23:10 - mmengine - INFO - Epoch(train) [4][600/940] lr: 7.8486e-02 eta: 1 day, 3:38:29 time: 0.3735 data_time: 0.0148 memory: 8039 grad_norm: 1.1179 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.6658 loss: 4.6658 2022/08/20 02:23:48 - mmengine - INFO - Epoch(train) [4][700/940] lr: 7.9613e-02 eta: 1 day, 3:33:48 time: 0.4020 data_time: 0.0144 memory: 8039 grad_norm: 1.1227 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.6892 loss: 4.6892 2022/08/20 02:24:26 - mmengine - INFO - Epoch(train) [4][800/940] lr: 8.0739e-02 eta: 1 day, 3:29:05 time: 0.3894 data_time: 0.0147 memory: 8039 grad_norm: 1.1004 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.8122 loss: 4.8122 2022/08/20 02:25:06 - mmengine - INFO - Epoch(train) [4][900/940] lr: 8.1865e-02 eta: 1 day, 3:26:30 time: 0.3860 data_time: 0.0153 memory: 8039 grad_norm: 1.1252 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.7336 loss: 4.7336 2022/08/20 02:25:21 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 02:25:21 - mmengine - INFO - Epoch(train) [4][940/940] lr: 8.2315e-02 eta: 1 day, 3:24:29 time: 0.3643 data_time: 0.0148 memory: 8039 grad_norm: 1.1577 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.7214 loss: 4.7214 2022/08/20 02:25:21 - mmengine - INFO - Saving checkpoint at 4 epochs 2022/08/20 02:26:05 - mmengine - INFO - Epoch(train) [5][100/940] lr: 8.3419e-02 eta: 1 day, 3:21:22 time: 0.3929 data_time: 0.0157 memory: 8039 grad_norm: 1.1607 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.6574 loss: 4.6574 2022/08/20 02:26:45 - mmengine - INFO - Epoch(train) [5][200/940] lr: 8.4545e-02 eta: 1 day, 3:18:37 time: 0.3821 data_time: 0.0157 memory: 8039 grad_norm: 1.1544 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.5067 loss: 4.5067 2022/08/20 02:27:00 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 02:27:23 - mmengine - INFO - Epoch(train) [5][300/940] lr: 8.5671e-02 eta: 1 day, 3:14:55 time: 0.3735 data_time: 0.0147 memory: 8039 grad_norm: 1.1509 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.6918 loss: 4.6918 2022/08/20 02:28:01 - mmengine - INFO - Epoch(train) [5][400/940] lr: 8.6796e-02 eta: 1 day, 3:10:41 time: 0.3970 data_time: 0.0152 memory: 8039 grad_norm: 1.1054 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.7774 loss: 4.7774 2022/08/20 02:28:39 - mmengine - INFO - Epoch(train) [5][500/940] lr: 8.7922e-02 eta: 1 day, 3:07:28 time: 0.4187 data_time: 0.0149 memory: 8039 grad_norm: 1.1328 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.4674 loss: 4.4674 2022/08/20 02:29:18 - mmengine - INFO - Epoch(train) [5][600/940] lr: 8.9048e-02 eta: 1 day, 3:04:23 time: 0.4003 data_time: 0.0158 memory: 8039 grad_norm: 1.1346 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.4951 loss: 4.4951 2022/08/20 02:29:58 - mmengine - INFO - Epoch(train) [5][700/940] lr: 9.0174e-02 eta: 1 day, 3:02:09 time: 0.4433 data_time: 0.0158 memory: 8039 grad_norm: 1.1997 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.6844 loss: 4.6844 2022/08/20 02:30:36 - mmengine - INFO - Epoch(train) [5][800/940] lr: 9.1300e-02 eta: 1 day, 2:58:54 time: 0.3886 data_time: 0.0153 memory: 8039 grad_norm: 1.1892 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.6003 loss: 4.6003 2022/08/20 02:31:14 - mmengine - INFO - Epoch(train) [5][900/940] lr: 9.2425e-02 eta: 1 day, 2:55:58 time: 0.4037 data_time: 0.0147 memory: 8039 grad_norm: 1.1973 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.4949 loss: 4.4949 2022/08/20 02:31:29 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 02:31:29 - mmengine - INFO - Epoch(train) [5][940/940] lr: 9.2876e-02 eta: 1 day, 2:54:10 time: 0.3625 data_time: 0.0159 memory: 8039 grad_norm: 1.2033 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 4.6184 loss: 4.6184 2022/08/20 02:33:08 - mmengine - INFO - Epoch(val) [5][78/78] acc/top1: 0.1218 acc/top5: 0.2993 acc/mean1: 0.1217 2022/08/20 02:33:11 - mmengine - INFO - The best checkpoint with 0.1218 acc/top1 at 6 epoch is saved to best_acc/top1_epoch_6.pth. 2022/08/20 02:33:50 - mmengine - INFO - Epoch(train) [6][100/940] lr: 9.3970e-02 eta: 1 day, 2:51:48 time: 0.3943 data_time: 0.0162 memory: 8039 grad_norm: 1.1614 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.5540 loss: 4.5540 2022/08/20 02:34:28 - mmengine - INFO - Epoch(train) [6][200/940] lr: 9.5095e-02 eta: 1 day, 2:48:58 time: 0.4121 data_time: 0.0147 memory: 8039 grad_norm: 1.1787 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.4060 loss: 4.4060 2022/08/20 02:35:07 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 02:35:07 - mmengine - INFO - Epoch(train) [6][300/940] lr: 9.6220e-02 eta: 1 day, 2:46:43 time: 0.4451 data_time: 0.0157 memory: 8039 grad_norm: 1.1835 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 4.5335 loss: 4.5335 2022/08/20 02:35:46 - mmengine - INFO - Epoch(train) [6][400/940] lr: 9.7346e-02 eta: 1 day, 2:43:55 time: 0.4069 data_time: 0.0148 memory: 8039 grad_norm: 1.1699 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.2607 loss: 4.2607 2022/08/20 02:36:23 - mmengine - INFO - Epoch(train) [6][500/940] lr: 9.8471e-02 eta: 1 day, 2:40:32 time: 0.3654 data_time: 0.0146 memory: 8039 grad_norm: 1.1934 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.3659 loss: 4.3659 2022/08/20 02:37:01 - mmengine - INFO - Epoch(train) [6][600/940] lr: 9.9596e-02 eta: 1 day, 2:37:53 time: 0.3728 data_time: 0.0150 memory: 8039 grad_norm: 1.2135 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.2949 loss: 4.2949 2022/08/20 02:37:38 - mmengine - INFO - Epoch(train) [6][700/940] lr: 1.0072e-01 eta: 1 day, 2:34:50 time: 0.3680 data_time: 0.0154 memory: 8039 grad_norm: 1.1957 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.2328 loss: 4.2328 2022/08/20 02:38:17 - mmengine - INFO - Epoch(train) [6][800/940] lr: 1.0185e-01 eta: 1 day, 2:32:37 time: 0.3720 data_time: 0.0153 memory: 8039 grad_norm: 1.1851 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.4890 loss: 4.4890 2022/08/20 02:38:55 - mmengine - INFO - Epoch(train) [6][900/940] lr: 1.0297e-01 eta: 1 day, 2:30:07 time: 0.3708 data_time: 0.0157 memory: 8039 grad_norm: 1.2443 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.1625 loss: 4.1625 2022/08/20 02:39:10 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 02:39:10 - mmengine - INFO - Epoch(train) [6][940/940] lr: 1.0342e-01 eta: 1 day, 2:28:50 time: 0.3696 data_time: 0.0147 memory: 8039 grad_norm: 1.2334 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.3909 loss: 4.3909 2022/08/20 02:39:49 - mmengine - INFO - Epoch(train) [7][100/940] lr: 1.0450e-01 eta: 1 day, 2:27:22 time: 0.3869 data_time: 0.0146 memory: 8039 grad_norm: 1.1881 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.6353 loss: 4.6353 2022/08/20 02:40:28 - mmengine - INFO - Epoch(train) [7][200/940] lr: 1.0563e-01 eta: 1 day, 2:25:27 time: 0.4335 data_time: 0.0150 memory: 8039 grad_norm: 1.2019 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.3247 loss: 4.3247 2022/08/20 02:41:06 - mmengine - INFO - Epoch(train) [7][300/940] lr: 1.0675e-01 eta: 1 day, 2:23:13 time: 0.4178 data_time: 0.0147 memory: 8039 grad_norm: 1.2317 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.2548 loss: 4.2548 2022/08/20 02:41:29 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 02:41:44 - mmengine - INFO - Epoch(train) [7][400/940] lr: 1.0788e-01 eta: 1 day, 2:20:41 time: 0.3745 data_time: 0.0146 memory: 8039 grad_norm: 1.2543 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.4084 loss: 4.4084 2022/08/20 02:42:22 - mmengine - INFO - Epoch(train) [7][500/940] lr: 1.0900e-01 eta: 1 day, 2:18:25 time: 0.3751 data_time: 0.0159 memory: 8039 grad_norm: 1.2514 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 4.0637 loss: 4.0637 2022/08/20 02:43:00 - mmengine - INFO - Epoch(train) [7][600/940] lr: 1.1013e-01 eta: 1 day, 2:16:14 time: 0.3698 data_time: 0.0167 memory: 8039 grad_norm: 1.2146 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.9237 loss: 3.9237 2022/08/20 02:43:37 - mmengine - INFO - Epoch(train) [7][700/940] lr: 1.1125e-01 eta: 1 day, 2:13:55 time: 0.3695 data_time: 0.0162 memory: 8039 grad_norm: 1.2287 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.9896 loss: 3.9896 2022/08/20 02:44:15 - mmengine - INFO - Epoch(train) [7][800/940] lr: 1.1238e-01 eta: 1 day, 2:11:37 time: 0.3707 data_time: 0.0149 memory: 8039 grad_norm: 1.2787 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.3311 loss: 4.3311 2022/08/20 02:44:53 - mmengine - INFO - Epoch(train) [7][900/940] lr: 1.1350e-01 eta: 1 day, 2:09:25 time: 0.3701 data_time: 0.0150 memory: 8039 grad_norm: 1.2301 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.4656 loss: 4.4656 2022/08/20 02:45:07 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 02:45:07 - mmengine - INFO - Epoch(train) [7][940/940] lr: 1.1395e-01 eta: 1 day, 2:08:21 time: 0.3681 data_time: 0.0146 memory: 8039 grad_norm: 1.2956 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.3004 loss: 4.3004 2022/08/20 02:45:48 - mmengine - INFO - Epoch(train) [8][100/940] lr: 1.1502e-01 eta: 1 day, 2:07:58 time: 0.4039 data_time: 0.0151 memory: 8039 grad_norm: 1.2520 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.9029 loss: 3.9029 2022/08/20 02:46:26 - mmengine - INFO - Epoch(train) [8][200/940] lr: 1.1615e-01 eta: 1 day, 2:05:43 time: 0.3868 data_time: 0.0155 memory: 8039 grad_norm: 1.2499 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.9434 loss: 3.9434 2022/08/20 02:47:03 - mmengine - INFO - Epoch(train) [8][300/940] lr: 1.1727e-01 eta: 1 day, 2:03:19 time: 0.3693 data_time: 0.0145 memory: 8039 grad_norm: 1.2855 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 4.1661 loss: 4.1661 2022/08/20 02:47:40 - mmengine - INFO - Epoch(train) [8][400/940] lr: 1.1840e-01 eta: 1 day, 2:01:11 time: 0.3691 data_time: 0.0166 memory: 8039 grad_norm: 1.2586 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.9617 loss: 3.9617 2022/08/20 02:47:48 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 02:48:18 - mmengine - INFO - Epoch(train) [8][500/940] lr: 1.1952e-01 eta: 1 day, 1:59:03 time: 0.3685 data_time: 0.0145 memory: 8039 grad_norm: 1.2486 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.2897 loss: 4.2897 2022/08/20 02:48:55 - mmengine - INFO - Epoch(train) [8][600/940] lr: 1.2064e-01 eta: 1 day, 1:57:02 time: 0.3691 data_time: 0.0140 memory: 8039 grad_norm: 1.2759 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.9801 loss: 3.9801 2022/08/20 02:49:33 - mmengine - INFO - Epoch(train) [8][700/940] lr: 1.2177e-01 eta: 1 day, 1:55:15 time: 0.3663 data_time: 0.0153 memory: 8039 grad_norm: 1.2748 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 4.1151 loss: 4.1151 2022/08/20 02:50:12 - mmengine - INFO - Epoch(train) [8][800/940] lr: 1.2289e-01 eta: 1 day, 1:53:43 time: 0.3985 data_time: 0.0156 memory: 8039 grad_norm: 1.2823 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.8652 loss: 3.8652 2022/08/20 02:50:49 - mmengine - INFO - Epoch(train) [8][900/940] lr: 1.2402e-01 eta: 1 day, 1:51:46 time: 0.3785 data_time: 0.0163 memory: 8039 grad_norm: 1.2879 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.9276 loss: 3.9276 2022/08/20 02:51:04 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 02:51:04 - mmengine - INFO - Epoch(train) [8][940/940] lr: 1.2447e-01 eta: 1 day, 1:50:47 time: 0.3590 data_time: 0.0139 memory: 8039 grad_norm: 1.3109 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.7824 loss: 3.7824 2022/08/20 02:51:04 - mmengine - INFO - Saving checkpoint at 8 epochs 2022/08/20 02:51:47 - mmengine - INFO - Epoch(train) [9][100/940] lr: 1.2552e-01 eta: 1 day, 1:49:28 time: 0.3802 data_time: 0.0162 memory: 8039 grad_norm: 1.2976 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.0764 loss: 4.0764 2022/08/20 02:52:24 - mmengine - INFO - Epoch(train) [9][200/940] lr: 1.2664e-01 eta: 1 day, 1:47:38 time: 0.3747 data_time: 0.0145 memory: 8039 grad_norm: 1.3143 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.9992 loss: 3.9992 2022/08/20 02:53:01 - mmengine - INFO - Epoch(train) [9][300/940] lr: 1.2777e-01 eta: 1 day, 1:45:33 time: 0.3750 data_time: 0.0155 memory: 8039 grad_norm: 1.2994 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.9136 loss: 3.9136 2022/08/20 02:53:38 - mmengine - INFO - Epoch(train) [9][400/940] lr: 1.2889e-01 eta: 1 day, 1:43:33 time: 0.3818 data_time: 0.0143 memory: 8039 grad_norm: 1.3053 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.8652 loss: 3.8652 2022/08/20 02:54:08 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 02:54:16 - mmengine - INFO - Epoch(train) [9][500/940] lr: 1.3002e-01 eta: 1 day, 1:41:40 time: 0.3770 data_time: 0.0154 memory: 8039 grad_norm: 1.2862 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.8860 loss: 3.8860 2022/08/20 02:54:53 - mmengine - INFO - Epoch(train) [9][600/940] lr: 1.3114e-01 eta: 1 day, 1:39:38 time: 0.3669 data_time: 0.0156 memory: 8039 grad_norm: 1.3022 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.2031 loss: 4.2031 2022/08/20 02:55:30 - mmengine - INFO - Epoch(train) [9][700/940] lr: 1.3226e-01 eta: 1 day, 1:37:43 time: 0.3685 data_time: 0.0156 memory: 8039 grad_norm: 1.3056 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.9022 loss: 3.9022 2022/08/20 02:56:08 - mmengine - INFO - Epoch(train) [9][800/940] lr: 1.3339e-01 eta: 1 day, 1:36:19 time: 0.3679 data_time: 0.0150 memory: 8039 grad_norm: 1.3271 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.8589 loss: 3.8589 2022/08/20 02:56:45 - mmengine - INFO - Epoch(train) [9][900/940] lr: 1.3451e-01 eta: 1 day, 1:34:36 time: 0.3707 data_time: 0.0151 memory: 8039 grad_norm: 1.3069 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.9632 loss: 3.9632 2022/08/20 02:57:00 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 02:57:00 - mmengine - INFO - Epoch(train) [9][940/940] lr: 1.3496e-01 eta: 1 day, 1:33:51 time: 0.3655 data_time: 0.0158 memory: 8039 grad_norm: 1.3354 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.8561 loss: 3.8561 2022/08/20 02:57:40 - mmengine - INFO - Epoch(train) [10][100/940] lr: 1.3600e-01 eta: 1 day, 1:33:16 time: 0.3869 data_time: 0.0154 memory: 8039 grad_norm: 1.3682 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.9073 loss: 3.9073 2022/08/20 02:58:18 - mmengine - INFO - Epoch(train) [10][200/940] lr: 1.3712e-01 eta: 1 day, 1:32:03 time: 0.4161 data_time: 0.0151 memory: 8039 grad_norm: 1.3263 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.8120 loss: 3.8120 2022/08/20 02:58:56 - mmengine - INFO - Epoch(train) [10][300/940] lr: 1.3824e-01 eta: 1 day, 1:30:23 time: 0.3722 data_time: 0.0144 memory: 8039 grad_norm: 1.2946 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.7967 loss: 3.7967 2022/08/20 02:59:34 - mmengine - INFO - Epoch(train) [10][400/940] lr: 1.3937e-01 eta: 1 day, 1:28:57 time: 0.3882 data_time: 0.0153 memory: 8039 grad_norm: 1.3393 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.6158 loss: 3.6158 2022/08/20 03:00:11 - mmengine - INFO - Epoch(train) [10][500/940] lr: 1.4049e-01 eta: 1 day, 1:27:22 time: 0.3730 data_time: 0.0145 memory: 8039 grad_norm: 1.3120 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.8760 loss: 3.8760 2022/08/20 03:00:26 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 03:00:48 - mmengine - INFO - Epoch(train) [10][600/940] lr: 1.4161e-01 eta: 1 day, 1:25:39 time: 0.3669 data_time: 0.0143 memory: 8039 grad_norm: 1.3683 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.8901 loss: 3.8901 2022/08/20 03:01:26 - mmengine - INFO - Epoch(train) [10][700/940] lr: 1.4273e-01 eta: 1 day, 1:24:13 time: 0.3676 data_time: 0.0147 memory: 8039 grad_norm: 1.2699 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.6659 loss: 3.6659 2022/08/20 03:02:04 - mmengine - INFO - Epoch(train) [10][800/940] lr: 1.4386e-01 eta: 1 day, 1:22:52 time: 0.3851 data_time: 0.0167 memory: 8039 grad_norm: 1.3230 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.6666 loss: 3.6666 2022/08/20 03:02:42 - mmengine - INFO - Epoch(train) [10][900/940] lr: 1.4498e-01 eta: 1 day, 1:21:49 time: 0.4063 data_time: 0.0166 memory: 8039 grad_norm: 1.2864 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.8960 loss: 3.8960 2022/08/20 03:02:57 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 03:02:57 - mmengine - INFO - Epoch(train) [10][940/940] lr: 1.4543e-01 eta: 1 day, 1:21:11 time: 0.3789 data_time: 0.0141 memory: 8039 grad_norm: 1.3847 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.0465 loss: 4.0465 2022/08/20 03:03:17 - mmengine - INFO - Epoch(val) [10][78/78] acc/top1: 0.2286 acc/top5: 0.4680 acc/mean1: 0.2284 2022/08/20 03:03:17 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb/best_acc/top1_epoch_6.pth is removed 2022/08/20 03:03:20 - mmengine - INFO - The best checkpoint with 0.2286 acc/top1 at 11 epoch is saved to best_acc/top1_epoch_11.pth. 2022/08/20 03:03:59 - mmengine - INFO - Epoch(train) [11][100/940] lr: 1.4645e-01 eta: 1 day, 1:20:35 time: 0.4334 data_time: 0.0163 memory: 8039 grad_norm: 1.3447 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.6909 loss: 3.6909 2022/08/20 03:04:38 - mmengine - INFO - Epoch(train) [11][200/940] lr: 1.4757e-01 eta: 1 day, 1:19:36 time: 0.4059 data_time: 0.0157 memory: 8039 grad_norm: 1.3502 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.8111 loss: 3.8111 2022/08/20 03:05:16 - mmengine - INFO - Epoch(train) [11][300/940] lr: 1.4869e-01 eta: 1 day, 1:18:29 time: 0.3817 data_time: 0.0147 memory: 8039 grad_norm: 1.3342 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.7056 loss: 3.7056 2022/08/20 03:05:54 - mmengine - INFO - Epoch(train) [11][400/940] lr: 1.4981e-01 eta: 1 day, 1:17:16 time: 0.3683 data_time: 0.0148 memory: 8039 grad_norm: 1.3204 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.9362 loss: 3.9362 2022/08/20 03:06:33 - mmengine - INFO - Epoch(train) [11][500/940] lr: 1.5094e-01 eta: 1 day, 1:16:10 time: 0.3706 data_time: 0.0156 memory: 8039 grad_norm: 1.3200 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4663 loss: 3.4663 2022/08/20 03:07:11 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 03:07:11 - mmengine - INFO - Epoch(train) [11][600/940] lr: 1.5206e-01 eta: 1 day, 1:15:01 time: 0.3675 data_time: 0.0151 memory: 8039 grad_norm: 1.3301 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.8081 loss: 3.8081 2022/08/20 03:07:49 - mmengine - INFO - Epoch(train) [11][700/940] lr: 1.5318e-01 eta: 1 day, 1:13:46 time: 0.3648 data_time: 0.0154 memory: 8039 grad_norm: 1.3454 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.7296 loss: 3.7296 2022/08/20 03:08:27 - mmengine - INFO - Epoch(train) [11][800/940] lr: 1.5430e-01 eta: 1 day, 1:12:48 time: 0.3746 data_time: 0.0145 memory: 8039 grad_norm: 1.3504 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.7075 loss: 3.7075 2022/08/20 03:09:05 - mmengine - INFO - Epoch(train) [11][900/940] lr: 1.5543e-01 eta: 1 day, 1:11:42 time: 0.3691 data_time: 0.0156 memory: 8039 grad_norm: 1.3408 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.3755 loss: 3.3755 2022/08/20 03:09:20 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 03:09:20 - mmengine - INFO - Epoch(train) [11][940/940] lr: 1.5587e-01 eta: 1 day, 1:11:12 time: 0.3850 data_time: 0.0144 memory: 8039 grad_norm: 1.3941 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.8063 loss: 3.8063 2022/08/20 03:10:02 - mmengine - INFO - Epoch(train) [12][100/940] lr: 1.5687e-01 eta: 1 day, 1:11:11 time: 0.3971 data_time: 0.0156 memory: 8039 grad_norm: 1.3304 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3785 loss: 3.3785 2022/08/20 03:10:40 - mmengine - INFO - Epoch(train) [12][200/940] lr: 1.5799e-01 eta: 1 day, 1:10:16 time: 0.3964 data_time: 0.0159 memory: 8039 grad_norm: 1.3201 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.6768 loss: 3.6768 2022/08/20 03:11:20 - mmengine - INFO - Epoch(train) [12][300/940] lr: 1.5912e-01 eta: 1 day, 1:09:44 time: 0.3949 data_time: 0.0147 memory: 8039 grad_norm: 1.3325 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7346 loss: 3.7346 2022/08/20 03:12:00 - mmengine - INFO - Epoch(train) [12][400/940] lr: 1.6024e-01 eta: 1 day, 1:09:12 time: 0.4120 data_time: 0.0162 memory: 8039 grad_norm: 1.3405 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.7685 loss: 3.7685 2022/08/20 03:12:38 - mmengine - INFO - Epoch(train) [12][500/940] lr: 1.6136e-01 eta: 1 day, 1:08:08 time: 0.4155 data_time: 0.0142 memory: 8039 grad_norm: 1.3482 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.5640 loss: 3.5640 2022/08/20 03:13:16 - mmengine - INFO - Epoch(train) [12][600/940] lr: 1.6248e-01 eta: 1 day, 1:06:59 time: 0.3772 data_time: 0.0144 memory: 8039 grad_norm: 1.3413 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.6759 loss: 3.6759 2022/08/20 03:13:40 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 03:13:55 - mmengine - INFO - Epoch(train) [12][700/940] lr: 1.6360e-01 eta: 1 day, 1:06:12 time: 0.3672 data_time: 0.0153 memory: 8039 grad_norm: 1.3091 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2503 loss: 3.2503 2022/08/20 03:14:33 - mmengine - INFO - Epoch(train) [12][800/940] lr: 1.6472e-01 eta: 1 day, 1:05:00 time: 0.3674 data_time: 0.0147 memory: 8039 grad_norm: 1.3464 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.4378 loss: 3.4378 2022/08/20 03:15:11 - mmengine - INFO - Epoch(train) [12][900/940] lr: 1.6584e-01 eta: 1 day, 1:03:53 time: 0.3681 data_time: 0.0158 memory: 8039 grad_norm: 1.3128 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.5713 loss: 3.5713 2022/08/20 03:15:26 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 03:15:26 - mmengine - INFO - Epoch(train) [12][940/940] lr: 1.6629e-01 eta: 1 day, 1:03:25 time: 0.3594 data_time: 0.0141 memory: 8039 grad_norm: 1.3549 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.5191 loss: 3.5191 2022/08/20 03:15:26 - mmengine - INFO - Saving checkpoint at 12 epochs 2022/08/20 03:16:09 - mmengine - INFO - Epoch(train) [13][100/940] lr: 1.6727e-01 eta: 1 day, 1:02:27 time: 0.3744 data_time: 0.0151 memory: 8039 grad_norm: 1.3079 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2751 loss: 3.2751 2022/08/20 03:16:46 - mmengine - INFO - Epoch(train) [13][200/940] lr: 1.6839e-01 eta: 1 day, 1:01:15 time: 0.3715 data_time: 0.0150 memory: 8039 grad_norm: 1.3120 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.4904 loss: 3.4904 2022/08/20 03:17:25 - mmengine - INFO - Epoch(train) [13][300/940] lr: 1.6951e-01 eta: 1 day, 1:00:19 time: 0.4086 data_time: 0.0161 memory: 8039 grad_norm: 1.3215 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3423 loss: 3.3423 2022/08/20 03:18:03 - mmengine - INFO - Epoch(train) [13][400/940] lr: 1.7063e-01 eta: 1 day, 0:59:10 time: 0.3870 data_time: 0.0153 memory: 8039 grad_norm: 1.3520 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4746 loss: 3.4746 2022/08/20 03:18:40 - mmengine - INFO - Epoch(train) [13][500/940] lr: 1.7175e-01 eta: 1 day, 0:57:59 time: 0.3932 data_time: 0.0160 memory: 8039 grad_norm: 1.3288 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.6165 loss: 3.6165 2022/08/20 03:19:18 - mmengine - INFO - Epoch(train) [13][600/940] lr: 1.7287e-01 eta: 1 day, 0:56:45 time: 0.3688 data_time: 0.0142 memory: 8039 grad_norm: 1.3703 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.5869 loss: 3.5869 2022/08/20 03:19:56 - mmengine - INFO - Epoch(train) [13][700/940] lr: 1.7399e-01 eta: 1 day, 0:55:37 time: 0.3678 data_time: 0.0148 memory: 8039 grad_norm: 1.3133 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2647 loss: 3.2647 2022/08/20 03:20:04 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 03:20:35 - mmengine - INFO - Epoch(train) [13][800/940] lr: 1.7511e-01 eta: 1 day, 0:54:55 time: 0.3681 data_time: 0.0143 memory: 8039 grad_norm: 1.3573 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.8325 loss: 3.8325 2022/08/20 03:21:12 - mmengine - INFO - Epoch(train) [13][900/940] lr: 1.7623e-01 eta: 1 day, 0:53:46 time: 0.3658 data_time: 0.0165 memory: 8039 grad_norm: 1.3114 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.8209 loss: 3.8209 2022/08/20 03:21:28 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 03:21:28 - mmengine - INFO - Epoch(train) [13][940/940] lr: 1.7668e-01 eta: 1 day, 0:53:33 time: 0.3585 data_time: 0.0146 memory: 8039 grad_norm: 1.3659 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.6552 loss: 3.6552 2022/08/20 03:22:08 - mmengine - INFO - Epoch(train) [14][100/940] lr: 1.7763e-01 eta: 1 day, 0:53:03 time: 0.3667 data_time: 0.0145 memory: 8039 grad_norm: 1.3755 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.5861 loss: 3.5861 2022/08/20 03:22:46 - mmengine - INFO - Epoch(train) [14][200/940] lr: 1.7875e-01 eta: 1 day, 0:51:53 time: 0.3823 data_time: 0.0153 memory: 8039 grad_norm: 1.3377 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.2857 loss: 3.2857 2022/08/20 03:23:23 - mmengine - INFO - Epoch(train) [14][300/940] lr: 1.7987e-01 eta: 1 day, 0:50:45 time: 0.3791 data_time: 0.0140 memory: 8039 grad_norm: 1.3386 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4448 loss: 3.4448 2022/08/20 03:24:01 - mmengine - INFO - Epoch(train) [14][400/940] lr: 1.8099e-01 eta: 1 day, 0:49:33 time: 0.3772 data_time: 0.0156 memory: 8039 grad_norm: 1.3190 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.6510 loss: 3.6510 2022/08/20 03:24:38 - mmengine - INFO - Epoch(train) [14][500/940] lr: 1.8211e-01 eta: 1 day, 0:48:23 time: 0.3666 data_time: 0.0155 memory: 8039 grad_norm: 1.3588 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.3164 loss: 3.3164 2022/08/20 03:25:16 - mmengine - INFO - Epoch(train) [14][600/940] lr: 1.8323e-01 eta: 1 day, 0:47:15 time: 0.3722 data_time: 0.0144 memory: 8039 grad_norm: 1.3335 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.8498 loss: 3.8498 2022/08/20 03:25:54 - mmengine - INFO - Epoch(train) [14][700/940] lr: 1.8435e-01 eta: 1 day, 0:46:25 time: 0.3820 data_time: 0.0155 memory: 8039 grad_norm: 1.3559 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.5006 loss: 3.5006 2022/08/20 03:26:25 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 03:26:32 - mmengine - INFO - Epoch(train) [14][800/940] lr: 1.8547e-01 eta: 1 day, 0:45:23 time: 0.3685 data_time: 0.0151 memory: 8039 grad_norm: 1.3490 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.3062 loss: 3.3062 2022/08/20 03:27:10 - mmengine - INFO - Epoch(train) [14][900/940] lr: 1.8659e-01 eta: 1 day, 0:44:13 time: 0.3690 data_time: 0.0147 memory: 8039 grad_norm: 1.3251 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.7303 loss: 3.7303 2022/08/20 03:27:24 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 03:27:24 - mmengine - INFO - Epoch(train) [14][940/940] lr: 1.8703e-01 eta: 1 day, 0:43:41 time: 0.3725 data_time: 0.0142 memory: 8039 grad_norm: 1.3575 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.5159 loss: 3.5159 2022/08/20 03:28:03 - mmengine - INFO - Epoch(train) [15][100/940] lr: 1.8796e-01 eta: 1 day, 0:43:01 time: 0.3883 data_time: 0.0145 memory: 8039 grad_norm: 1.3611 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3948 loss: 3.3948 2022/08/20 03:28:42 - mmengine - INFO - Epoch(train) [15][200/940] lr: 1.8908e-01 eta: 1 day, 0:42:11 time: 0.4136 data_time: 0.0162 memory: 8039 grad_norm: 1.3547 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4890 loss: 3.4890 2022/08/20 03:29:20 - mmengine - INFO - Epoch(train) [15][300/940] lr: 1.9020e-01 eta: 1 day, 0:41:14 time: 0.4062 data_time: 0.0154 memory: 8039 grad_norm: 1.3327 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.6619 loss: 3.6619 2022/08/20 03:29:57 - mmengine - INFO - Epoch(train) [15][400/940] lr: 1.9132e-01 eta: 1 day, 0:40:01 time: 0.3686 data_time: 0.0145 memory: 8039 grad_norm: 1.3326 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2097 loss: 3.2097 2022/08/20 03:30:35 - mmengine - INFO - Epoch(train) [15][500/940] lr: 1.9243e-01 eta: 1 day, 0:38:59 time: 0.3620 data_time: 0.0163 memory: 8039 grad_norm: 1.3386 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4620 loss: 3.4620 2022/08/20 03:31:14 - mmengine - INFO - Epoch(train) [15][600/940] lr: 1.9355e-01 eta: 1 day, 0:38:17 time: 0.3697 data_time: 0.0162 memory: 8039 grad_norm: 1.3245 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2056 loss: 3.2056 2022/08/20 03:31:52 - mmengine - INFO - Epoch(train) [15][700/940] lr: 1.9467e-01 eta: 1 day, 0:37:20 time: 0.3778 data_time: 0.0150 memory: 8039 grad_norm: 1.3439 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2627 loss: 3.2627 2022/08/20 03:32:30 - mmengine - INFO - Epoch(train) [15][800/940] lr: 1.9579e-01 eta: 1 day, 0:36:27 time: 0.3701 data_time: 0.0142 memory: 8039 grad_norm: 1.3427 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5541 loss: 3.5541 2022/08/20 03:32:45 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 03:33:08 - mmengine - INFO - Epoch(train) [15][900/940] lr: 1.9691e-01 eta: 1 day, 0:35:25 time: 0.3647 data_time: 0.0145 memory: 8039 grad_norm: 1.3324 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0569 loss: 3.0569 2022/08/20 03:33:22 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 03:33:22 - mmengine - INFO - Epoch(train) [15][940/940] lr: 1.9735e-01 eta: 1 day, 0:34:54 time: 0.3707 data_time: 0.0148 memory: 8039 grad_norm: 1.3857 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.4165 loss: 3.4165 2022/08/20 03:33:42 - mmengine - INFO - Epoch(val) [15][78/78] acc/top1: 0.3020 acc/top5: 0.5723 acc/mean1: 0.3017 2022/08/20 03:33:42 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb/best_acc/top1_epoch_11.pth is removed 2022/08/20 03:33:44 - mmengine - INFO - The best checkpoint with 0.3020 acc/top1 at 16 epoch is saved to best_acc/top1_epoch_16.pth. 2022/08/20 03:34:23 - mmengine - INFO - Epoch(train) [16][100/940] lr: 1.9825e-01 eta: 1 day, 0:34:18 time: 0.3982 data_time: 0.0151 memory: 8039 grad_norm: 1.3668 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0831 loss: 3.0831 2022/08/20 03:35:01 - mmengine - INFO - Epoch(train) [16][200/940] lr: 1.9937e-01 eta: 1 day, 0:33:12 time: 0.3864 data_time: 0.0159 memory: 8039 grad_norm: 1.3550 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.3840 loss: 3.3840 2022/08/20 03:35:39 - mmengine - INFO - Epoch(train) [16][300/940] lr: 2.0049e-01 eta: 1 day, 0:32:12 time: 0.3808 data_time: 0.0156 memory: 8039 grad_norm: 1.3592 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3383 loss: 3.3383 2022/08/20 03:36:17 - mmengine - INFO - Epoch(train) [16][400/940] lr: 2.0161e-01 eta: 1 day, 0:31:23 time: 0.3689 data_time: 0.0151 memory: 8039 grad_norm: 1.3452 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2412 loss: 3.2412 2022/08/20 03:36:54 - mmengine - INFO - Epoch(train) [16][500/940] lr: 2.0272e-01 eta: 1 day, 0:30:21 time: 0.3677 data_time: 0.0161 memory: 8039 grad_norm: 1.3536 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.4300 loss: 3.4300 2022/08/20 03:37:33 - mmengine - INFO - Epoch(train) [16][600/940] lr: 2.0384e-01 eta: 1 day, 0:29:34 time: 0.3696 data_time: 0.0152 memory: 8039 grad_norm: 1.3302 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.8535 loss: 3.8535 2022/08/20 03:38:11 - mmengine - INFO - Epoch(train) [16][700/940] lr: 2.0496e-01 eta: 1 day, 0:28:33 time: 0.3666 data_time: 0.0168 memory: 8039 grad_norm: 1.3141 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3635 loss: 3.3635 2022/08/20 03:38:48 - mmengine - INFO - Epoch(train) [16][800/940] lr: 2.0607e-01 eta: 1 day, 0:27:29 time: 0.3656 data_time: 0.0148 memory: 8039 grad_norm: 1.3599 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.5041 loss: 3.5041 2022/08/20 03:39:25 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 03:39:25 - mmengine - INFO - Epoch(train) [16][900/940] lr: 2.0719e-01 eta: 1 day, 0:26:19 time: 0.3713 data_time: 0.0153 memory: 8039 grad_norm: 1.3530 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.7384 loss: 3.7384 2022/08/20 03:39:40 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 03:39:40 - mmengine - INFO - Epoch(train) [16][940/940] lr: 2.0764e-01 eta: 1 day, 0:25:50 time: 0.3682 data_time: 0.0140 memory: 8039 grad_norm: 1.3908 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.5178 loss: 3.5178 2022/08/20 03:39:40 - mmengine - INFO - Saving checkpoint at 16 epochs 2022/08/20 03:40:22 - mmengine - INFO - Epoch(train) [17][100/940] lr: 2.0851e-01 eta: 1 day, 0:24:57 time: 0.3691 data_time: 0.0162 memory: 8039 grad_norm: 1.3596 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9781 loss: 2.9781 2022/08/20 03:40:59 - mmengine - INFO - Epoch(train) [17][200/940] lr: 2.0963e-01 eta: 1 day, 0:23:44 time: 0.3594 data_time: 0.0151 memory: 8039 grad_norm: 1.3510 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4411 loss: 3.4411 2022/08/20 03:41:36 - mmengine - INFO - Epoch(train) [17][300/940] lr: 2.1074e-01 eta: 1 day, 0:22:41 time: 0.3684 data_time: 0.0148 memory: 8039 grad_norm: 1.2969 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.7158 loss: 3.7158 2022/08/20 03:42:14 - mmengine - INFO - Epoch(train) [17][400/940] lr: 2.1186e-01 eta: 1 day, 0:21:38 time: 0.3689 data_time: 0.0147 memory: 8039 grad_norm: 1.3394 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2909 loss: 3.2909 2022/08/20 03:42:51 - mmengine - INFO - Epoch(train) [17][500/940] lr: 2.1297e-01 eta: 1 day, 0:20:37 time: 0.3704 data_time: 0.0151 memory: 8039 grad_norm: 1.3393 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.2728 loss: 3.2728 2022/08/20 03:43:28 - mmengine - INFO - Epoch(train) [17][600/940] lr: 2.1409e-01 eta: 1 day, 0:19:30 time: 0.3677 data_time: 0.0159 memory: 8039 grad_norm: 1.3567 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2671 loss: 3.2671 2022/08/20 03:44:05 - mmengine - INFO - Epoch(train) [17][700/940] lr: 2.1520e-01 eta: 1 day, 0:18:28 time: 0.3757 data_time: 0.0156 memory: 8039 grad_norm: 1.3531 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.1637 loss: 3.1637 2022/08/20 03:44:43 - mmengine - INFO - Epoch(train) [17][800/940] lr: 2.1632e-01 eta: 1 day, 0:17:36 time: 0.3768 data_time: 0.0151 memory: 8039 grad_norm: 1.3213 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.3494 loss: 3.3494 2022/08/20 03:45:21 - mmengine - INFO - Epoch(train) [17][900/940] lr: 2.1743e-01 eta: 1 day, 0:16:41 time: 0.4015 data_time: 0.0153 memory: 8039 grad_norm: 1.3331 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2302 loss: 3.2302 2022/08/20 03:45:36 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 03:45:36 - mmengine - INFO - Epoch(train) [17][940/940] lr: 2.1788e-01 eta: 1 day, 0:16:12 time: 0.3650 data_time: 0.0138 memory: 8039 grad_norm: 1.3711 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.5548 loss: 3.5548 2022/08/20 03:45:46 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 03:46:16 - mmengine - INFO - Epoch(train) [18][100/940] lr: 2.1872e-01 eta: 1 day, 0:15:51 time: 0.3749 data_time: 0.0158 memory: 8039 grad_norm: 1.3432 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.5927 loss: 3.5927 2022/08/20 03:46:54 - mmengine - INFO - Epoch(train) [18][200/940] lr: 2.1984e-01 eta: 1 day, 0:15:02 time: 0.3961 data_time: 0.0146 memory: 8039 grad_norm: 1.3114 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.4181 loss: 3.4181 2022/08/20 03:47:32 - mmengine - INFO - Epoch(train) [18][300/940] lr: 2.2095e-01 eta: 1 day, 0:14:11 time: 0.3927 data_time: 0.0147 memory: 8039 grad_norm: 1.3266 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9233 loss: 2.9233 2022/08/20 03:48:10 - mmengine - INFO - Epoch(train) [18][400/940] lr: 2.2207e-01 eta: 1 day, 0:13:14 time: 0.3684 data_time: 0.0151 memory: 8039 grad_norm: 1.3184 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0835 loss: 3.0835 2022/08/20 03:48:48 - mmengine - INFO - Epoch(train) [18][500/940] lr: 2.2318e-01 eta: 1 day, 0:12:23 time: 0.3654 data_time: 0.0159 memory: 8039 grad_norm: 1.3404 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.4311 loss: 3.4311 2022/08/20 03:49:25 - mmengine - INFO - Epoch(train) [18][600/940] lr: 2.2429e-01 eta: 1 day, 0:11:29 time: 0.3698 data_time: 0.0165 memory: 8039 grad_norm: 1.3178 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3096 loss: 3.3096 2022/08/20 03:50:04 - mmengine - INFO - Epoch(train) [18][700/940] lr: 2.2541e-01 eta: 1 day, 0:10:41 time: 0.3696 data_time: 0.0172 memory: 8039 grad_norm: 1.2748 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1201 loss: 3.1201 2022/08/20 03:50:41 - mmengine - INFO - Epoch(train) [18][800/940] lr: 2.2652e-01 eta: 1 day, 0:09:44 time: 0.3660 data_time: 0.0149 memory: 8039 grad_norm: 1.3224 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.5297 loss: 3.5297 2022/08/20 03:51:19 - mmengine - INFO - Epoch(train) [18][900/940] lr: 2.2764e-01 eta: 1 day, 0:08:50 time: 0.3964 data_time: 0.0149 memory: 8039 grad_norm: 1.2993 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4608 loss: 3.4608 2022/08/20 03:51:34 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 03:51:34 - mmengine - INFO - Epoch(train) [18][940/940] lr: 2.2808e-01 eta: 1 day, 0:08:23 time: 0.3670 data_time: 0.0153 memory: 8039 grad_norm: 1.3736 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.4165 loss: 3.4165 2022/08/20 03:52:06 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 03:52:14 - mmengine - INFO - Epoch(train) [19][100/940] lr: 2.2889e-01 eta: 1 day, 0:08:05 time: 0.3808 data_time: 0.0165 memory: 8039 grad_norm: 1.3303 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3753 loss: 3.3753 2022/08/20 03:52:52 - mmengine - INFO - Epoch(train) [19][200/940] lr: 2.3001e-01 eta: 1 day, 0:07:12 time: 0.3928 data_time: 0.0145 memory: 8039 grad_norm: 1.3309 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1042 loss: 3.1042 2022/08/20 03:53:29 - mmengine - INFO - Epoch(train) [19][300/940] lr: 2.3112e-01 eta: 1 day, 0:06:13 time: 0.3680 data_time: 0.0144 memory: 8039 grad_norm: 1.3306 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0375 loss: 3.0375 2022/08/20 03:54:07 - mmengine - INFO - Epoch(train) [19][400/940] lr: 2.3223e-01 eta: 1 day, 0:05:20 time: 0.3701 data_time: 0.0159 memory: 8039 grad_norm: 1.3452 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1931 loss: 3.1931 2022/08/20 03:54:45 - mmengine - INFO - Epoch(train) [19][500/940] lr: 2.3335e-01 eta: 1 day, 0:04:28 time: 0.3682 data_time: 0.0148 memory: 8039 grad_norm: 1.2707 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5219 loss: 3.5219 2022/08/20 03:55:23 - mmengine - INFO - Epoch(train) [19][600/940] lr: 2.3446e-01 eta: 1 day, 0:03:47 time: 0.3751 data_time: 0.0146 memory: 8039 grad_norm: 1.3383 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.2028 loss: 3.2028 2022/08/20 03:56:02 - mmengine - INFO - Epoch(train) [19][700/940] lr: 2.3557e-01 eta: 1 day, 0:03:09 time: 0.3684 data_time: 0.0153 memory: 8039 grad_norm: 1.3228 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2570 loss: 3.2570 2022/08/20 03:56:41 - mmengine - INFO - Epoch(train) [19][800/940] lr: 2.3668e-01 eta: 1 day, 0:02:23 time: 0.3638 data_time: 0.0141 memory: 8039 grad_norm: 1.3287 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1688 loss: 3.1688 2022/08/20 03:57:18 - mmengine - INFO - Epoch(train) [19][900/940] lr: 2.3780e-01 eta: 1 day, 0:01:30 time: 0.3863 data_time: 0.0167 memory: 8039 grad_norm: 1.3400 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5893 loss: 3.5893 2022/08/20 03:57:33 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 03:57:33 - mmengine - INFO - Epoch(train) [19][940/940] lr: 2.3824e-01 eta: 1 day, 0:01:06 time: 0.3688 data_time: 0.0143 memory: 8039 grad_norm: 1.3432 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 3.2323 loss: 3.2323 2022/08/20 03:58:14 - mmengine - INFO - Epoch(train) [20][100/940] lr: 2.3902e-01 eta: 1 day, 0:00:48 time: 0.4107 data_time: 0.0140 memory: 8039 grad_norm: 1.3452 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.9913 loss: 2.9913 2022/08/20 03:58:28 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 03:58:51 - mmengine - INFO - Epoch(train) [20][200/940] lr: 2.4013e-01 eta: 23:59:49 time: 0.3653 data_time: 0.0144 memory: 8039 grad_norm: 1.3024 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.3345 loss: 3.3345 2022/08/20 03:59:28 - mmengine - INFO - Epoch(train) [20][300/940] lr: 2.4124e-01 eta: 23:58:55 time: 0.3690 data_time: 0.0148 memory: 8039 grad_norm: 1.2988 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.4294 loss: 3.4294 2022/08/20 04:00:08 - mmengine - INFO - Epoch(train) [20][400/940] lr: 2.4235e-01 eta: 23:58:22 time: 0.3666 data_time: 0.0149 memory: 8039 grad_norm: 1.3053 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 3.1825 loss: 3.1825 2022/08/20 04:00:47 - mmengine - INFO - Epoch(train) [20][500/940] lr: 2.4346e-01 eta: 23:57:43 time: 0.3669 data_time: 0.0153 memory: 8039 grad_norm: 1.3124 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2121 loss: 3.2121 2022/08/20 04:01:24 - mmengine - INFO - Epoch(train) [20][600/940] lr: 2.4458e-01 eta: 23:56:46 time: 0.3717 data_time: 0.0146 memory: 8039 grad_norm: 1.3429 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3314 loss: 3.3314 2022/08/20 04:02:01 - mmengine - INFO - Epoch(train) [20][700/940] lr: 2.4569e-01 eta: 23:55:52 time: 0.3655 data_time: 0.0146 memory: 8039 grad_norm: 1.2906 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2253 loss: 3.2253 2022/08/20 04:02:40 - mmengine - INFO - Epoch(train) [20][800/940] lr: 2.4680e-01 eta: 23:55:05 time: 0.3978 data_time: 0.0147 memory: 8039 grad_norm: 1.2964 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3981 loss: 3.3981 2022/08/20 04:03:18 - mmengine - INFO - Epoch(train) [20][900/940] lr: 2.4791e-01 eta: 23:54:19 time: 0.4009 data_time: 0.0157 memory: 8039 grad_norm: 1.3217 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1209 loss: 3.1209 2022/08/20 04:03:33 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 04:03:33 - mmengine - INFO - Epoch(train) [20][940/940] lr: 2.4835e-01 eta: 23:53:56 time: 0.3766 data_time: 0.0139 memory: 8039 grad_norm: 1.3652 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.4334 loss: 3.4334 2022/08/20 04:03:33 - mmengine - INFO - Saving checkpoint at 20 epochs 2022/08/20 04:03:55 - mmengine - INFO - Epoch(val) [20][78/78] acc/top1: 0.3197 acc/top5: 0.5890 acc/mean1: 0.3197 2022/08/20 04:03:55 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb/best_acc/top1_epoch_16.pth is removed 2022/08/20 04:03:58 - mmengine - INFO - The best checkpoint with 0.3197 acc/top1 at 21 epoch is saved to best_acc/top1_epoch_21.pth. 2022/08/20 04:04:37 - mmengine - INFO - Epoch(train) [21][100/940] lr: 2.4910e-01 eta: 23:53:17 time: 0.3941 data_time: 0.0141 memory: 8039 grad_norm: 1.3250 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3887 loss: 3.3887 2022/08/20 04:05:14 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 04:05:14 - mmengine - INFO - Epoch(train) [21][200/940] lr: 2.5021e-01 eta: 23:52:26 time: 0.3894 data_time: 0.0149 memory: 8039 grad_norm: 1.2884 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1589 loss: 3.1589 2022/08/20 04:05:51 - mmengine - INFO - Epoch(train) [21][300/940] lr: 2.5132e-01 eta: 23:51:27 time: 0.3624 data_time: 0.0147 memory: 8039 grad_norm: 1.3040 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3490 loss: 3.3490 2022/08/20 04:06:29 - mmengine - INFO - Epoch(train) [21][400/940] lr: 2.5243e-01 eta: 23:50:39 time: 0.3698 data_time: 0.0157 memory: 8039 grad_norm: 1.2807 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3538 loss: 3.3538 2022/08/20 04:07:07 - mmengine - INFO - Epoch(train) [21][500/940] lr: 2.5354e-01 eta: 23:49:52 time: 0.3698 data_time: 0.0154 memory: 8039 grad_norm: 1.2984 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1913 loss: 3.1913 2022/08/20 04:07:46 - mmengine - INFO - Epoch(train) [21][600/940] lr: 2.5464e-01 eta: 23:49:07 time: 0.3705 data_time: 0.0154 memory: 8039 grad_norm: 1.2991 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1743 loss: 3.1743 2022/08/20 04:08:23 - mmengine - INFO - Epoch(train) [21][700/940] lr: 2.5575e-01 eta: 23:48:14 time: 0.3670 data_time: 0.0150 memory: 8039 grad_norm: 1.3071 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1327 loss: 3.1327 2022/08/20 04:09:00 - mmengine - INFO - Epoch(train) [21][800/940] lr: 2.5686e-01 eta: 23:47:19 time: 0.3848 data_time: 0.0150 memory: 8039 grad_norm: 1.2730 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0000 loss: 3.0000 2022/08/20 04:09:38 - mmengine - INFO - Epoch(train) [21][900/940] lr: 2.5797e-01 eta: 23:46:31 time: 0.3903 data_time: 0.0170 memory: 8039 grad_norm: 1.2964 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1608 loss: 3.1608 2022/08/20 04:09:53 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 04:09:53 - mmengine - INFO - Epoch(train) [21][940/940] lr: 2.5842e-01 eta: 23:46:03 time: 0.3531 data_time: 0.0149 memory: 8039 grad_norm: 1.3365 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.2590 loss: 3.2590 2022/08/20 04:10:33 - mmengine - INFO - Epoch(train) [22][100/940] lr: 2.5912e-01 eta: 23:45:43 time: 0.3797 data_time: 0.0144 memory: 8039 grad_norm: 1.3265 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.3149 loss: 3.3149 2022/08/20 04:11:11 - mmengine - INFO - Epoch(train) [22][200/940] lr: 2.6023e-01 eta: 23:44:51 time: 0.3652 data_time: 0.0149 memory: 8039 grad_norm: 1.3035 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.3068 loss: 3.3068 2022/08/20 04:11:34 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 04:11:49 - mmengine - INFO - Epoch(train) [22][300/940] lr: 2.6134e-01 eta: 23:44:06 time: 0.3707 data_time: 0.0148 memory: 8039 grad_norm: 1.2867 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1970 loss: 3.1970 2022/08/20 04:12:27 - mmengine - INFO - Epoch(train) [22][400/940] lr: 2.6245e-01 eta: 23:43:19 time: 0.3902 data_time: 0.0153 memory: 8039 grad_norm: 1.3059 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2565 loss: 3.2565 2022/08/20 04:13:05 - mmengine - INFO - Epoch(train) [22][500/940] lr: 2.6356e-01 eta: 23:42:28 time: 0.3998 data_time: 0.0159 memory: 8039 grad_norm: 1.2855 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9038 loss: 2.9038 2022/08/20 04:13:42 - mmengine - INFO - Epoch(train) [22][600/940] lr: 2.6466e-01 eta: 23:41:37 time: 0.3657 data_time: 0.0155 memory: 8039 grad_norm: 1.2846 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9271 loss: 2.9271 2022/08/20 04:14:20 - mmengine - INFO - Epoch(train) [22][700/940] lr: 2.6577e-01 eta: 23:40:46 time: 0.3720 data_time: 0.0158 memory: 8039 grad_norm: 1.2931 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2442 loss: 3.2442 2022/08/20 04:14:58 - mmengine - INFO - Epoch(train) [22][800/940] lr: 2.6688e-01 eta: 23:39:59 time: 0.3693 data_time: 0.0160 memory: 8039 grad_norm: 1.2716 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0292 loss: 3.0292 2022/08/20 04:15:35 - mmengine - INFO - Epoch(train) [22][900/940] lr: 2.6799e-01 eta: 23:39:10 time: 0.3666 data_time: 0.0151 memory: 8039 grad_norm: 1.2936 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3228 loss: 3.3228 2022/08/20 04:15:51 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 04:15:51 - mmengine - INFO - Epoch(train) [22][940/940] lr: 2.6843e-01 eta: 23:38:50 time: 0.3819 data_time: 0.0157 memory: 8039 grad_norm: 1.3065 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.7093 loss: 3.7093 2022/08/20 04:16:30 - mmengine - INFO - Epoch(train) [23][100/940] lr: 2.6910e-01 eta: 23:38:20 time: 0.3852 data_time: 0.0163 memory: 8039 grad_norm: 1.2730 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.1920 loss: 3.1920 2022/08/20 04:17:08 - mmengine - INFO - Epoch(train) [23][200/940] lr: 2.7021e-01 eta: 23:37:32 time: 0.4072 data_time: 0.0144 memory: 8039 grad_norm: 1.3038 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.2204 loss: 3.2204 2022/08/20 04:17:45 - mmengine - INFO - Epoch(train) [23][300/940] lr: 2.7131e-01 eta: 23:36:40 time: 0.3859 data_time: 0.0160 memory: 8039 grad_norm: 1.2681 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2919 loss: 3.2919 2022/08/20 04:17:53 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 04:18:23 - mmengine - INFO - Epoch(train) [23][400/940] lr: 2.7242e-01 eta: 23:35:49 time: 0.3665 data_time: 0.0144 memory: 8039 grad_norm: 1.2774 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3611 loss: 3.3611 2022/08/20 04:19:01 - mmengine - INFO - Epoch(train) [23][500/940] lr: 2.7352e-01 eta: 23:35:00 time: 0.3671 data_time: 0.0147 memory: 8039 grad_norm: 1.2983 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4130 loss: 3.4130 2022/08/20 04:19:40 - mmengine - INFO - Epoch(train) [23][600/940] lr: 2.7463e-01 eta: 23:34:27 time: 0.3697 data_time: 0.0148 memory: 8039 grad_norm: 1.2662 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4478 loss: 3.4478 2022/08/20 04:20:18 - mmengine - INFO - Epoch(train) [23][700/940] lr: 2.7574e-01 eta: 23:33:40 time: 0.3716 data_time: 0.0152 memory: 8039 grad_norm: 1.2818 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.2043 loss: 3.2043 2022/08/20 04:20:56 - mmengine - INFO - Epoch(train) [23][800/940] lr: 2.7684e-01 eta: 23:32:53 time: 0.3818 data_time: 0.0150 memory: 8039 grad_norm: 1.2787 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1008 loss: 3.1008 2022/08/20 04:21:34 - mmengine - INFO - Epoch(train) [23][900/940] lr: 2.7795e-01 eta: 23:32:11 time: 0.3671 data_time: 0.0151 memory: 8039 grad_norm: 1.2752 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2356 loss: 3.2356 2022/08/20 04:21:49 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 04:21:49 - mmengine - INFO - Epoch(train) [23][940/940] lr: 2.7839e-01 eta: 23:31:48 time: 0.3668 data_time: 0.0150 memory: 8039 grad_norm: 1.2906 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.4524 loss: 3.4524 2022/08/20 04:22:29 - mmengine - INFO - Epoch(train) [24][100/940] lr: 2.7902e-01 eta: 23:31:28 time: 0.4147 data_time: 0.0156 memory: 8039 grad_norm: 1.2518 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1426 loss: 3.1426 2022/08/20 04:23:07 - mmengine - INFO - Epoch(train) [24][200/940] lr: 2.8012e-01 eta: 23:30:39 time: 0.3941 data_time: 0.0155 memory: 8039 grad_norm: 1.2862 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.0574 loss: 3.0574 2022/08/20 04:23:45 - mmengine - INFO - Epoch(train) [24][300/940] lr: 2.8123e-01 eta: 23:29:48 time: 0.3810 data_time: 0.0152 memory: 8039 grad_norm: 1.2818 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3023 loss: 3.3023 2022/08/20 04:24:15 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 04:24:22 - mmengine - INFO - Epoch(train) [24][400/940] lr: 2.8233e-01 eta: 23:29:00 time: 0.3655 data_time: 0.0157 memory: 8039 grad_norm: 1.2494 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1745 loss: 3.1745 2022/08/20 04:25:00 - mmengine - INFO - Epoch(train) [24][500/940] lr: 2.8344e-01 eta: 23:28:14 time: 0.3692 data_time: 0.0153 memory: 8039 grad_norm: 1.2790 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2197 loss: 3.2197 2022/08/20 04:25:38 - mmengine - INFO - Epoch(train) [24][600/940] lr: 2.8454e-01 eta: 23:27:29 time: 0.3682 data_time: 0.0153 memory: 8039 grad_norm: 1.2745 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2202 loss: 3.2202 2022/08/20 04:26:16 - mmengine - INFO - Epoch(train) [24][700/940] lr: 2.8565e-01 eta: 23:26:38 time: 0.3653 data_time: 0.0144 memory: 8039 grad_norm: 1.2641 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4780 loss: 3.4780 2022/08/20 04:26:53 - mmengine - INFO - Epoch(train) [24][800/940] lr: 2.8675e-01 eta: 23:25:51 time: 0.3689 data_time: 0.0153 memory: 8039 grad_norm: 1.2564 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.4980 loss: 3.4980 2022/08/20 04:27:31 - mmengine - INFO - Epoch(train) [24][900/940] lr: 2.8785e-01 eta: 23:25:06 time: 0.3874 data_time: 0.0151 memory: 8039 grad_norm: 1.2667 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.1357 loss: 3.1357 2022/08/20 04:27:46 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 04:27:46 - mmengine - INFO - Epoch(train) [24][940/940] lr: 2.8830e-01 eta: 23:24:47 time: 0.3790 data_time: 0.0141 memory: 8039 grad_norm: 1.2941 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.0931 loss: 3.0931 2022/08/20 04:27:47 - mmengine - INFO - Saving checkpoint at 24 epochs 2022/08/20 04:28:29 - mmengine - INFO - Epoch(train) [25][100/940] lr: 2.8888e-01 eta: 23:24:09 time: 0.4078 data_time: 0.0141 memory: 8039 grad_norm: 1.2783 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9517 loss: 2.9517 2022/08/20 04:29:07 - mmengine - INFO - Epoch(train) [25][200/940] lr: 2.8999e-01 eta: 23:23:21 time: 0.3898 data_time: 0.0156 memory: 8039 grad_norm: 1.2608 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1436 loss: 3.1436 2022/08/20 04:29:44 - mmengine - INFO - Epoch(train) [25][300/940] lr: 2.9109e-01 eta: 23:22:29 time: 0.3642 data_time: 0.0153 memory: 8039 grad_norm: 1.2656 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0097 loss: 3.0097 2022/08/20 04:30:22 - mmengine - INFO - Epoch(train) [25][400/940] lr: 2.9219e-01 eta: 23:21:45 time: 0.3722 data_time: 0.0147 memory: 8039 grad_norm: 1.2774 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2382 loss: 3.2382 2022/08/20 04:30:37 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 04:31:00 - mmengine - INFO - Epoch(train) [25][500/940] lr: 2.9329e-01 eta: 23:20:57 time: 0.3733 data_time: 0.0153 memory: 8039 grad_norm: 1.2810 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1768 loss: 3.1768 2022/08/20 04:31:38 - mmengine - INFO - Epoch(train) [25][600/940] lr: 2.9440e-01 eta: 23:20:08 time: 0.3677 data_time: 0.0157 memory: 8039 grad_norm: 1.2433 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.5267 loss: 3.5267 2022/08/20 04:32:15 - mmengine - INFO - Epoch(train) [25][700/940] lr: 2.9550e-01 eta: 23:19:22 time: 0.3668 data_time: 0.0146 memory: 8039 grad_norm: 1.2655 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1459 loss: 3.1459 2022/08/20 04:32:53 - mmengine - INFO - Epoch(train) [25][800/940] lr: 2.9660e-01 eta: 23:18:38 time: 0.3688 data_time: 0.0151 memory: 8039 grad_norm: 1.2810 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.1391 loss: 3.1391 2022/08/20 04:33:32 - mmengine - INFO - Epoch(train) [25][900/940] lr: 2.9770e-01 eta: 23:17:54 time: 0.3892 data_time: 0.0159 memory: 8039 grad_norm: 1.2546 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3125 loss: 3.3125 2022/08/20 04:33:46 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 04:33:46 - mmengine - INFO - Epoch(train) [25][940/940] lr: 2.9814e-01 eta: 23:17:32 time: 0.3674 data_time: 0.0145 memory: 8039 grad_norm: 1.2820 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.1634 loss: 3.1634 2022/08/20 04:34:06 - mmengine - INFO - Epoch(val) [25][78/78] acc/top1: 0.3446 acc/top5: 0.6130 acc/mean1: 0.3444 2022/08/20 04:34:06 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb/best_acc/top1_epoch_21.pth is removed 2022/08/20 04:34:09 - mmengine - INFO - The best checkpoint with 0.3446 acc/top1 at 26 epoch is saved to best_acc/top1_epoch_26.pth. 2022/08/20 04:34:49 - mmengine - INFO - Epoch(train) [26][100/940] lr: 2.9869e-01 eta: 23:17:06 time: 0.3990 data_time: 0.0154 memory: 8039 grad_norm: 1.2402 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.1735 loss: 3.1735 2022/08/20 04:35:27 - mmengine - INFO - Epoch(train) [26][200/940] lr: 2.9979e-01 eta: 23:16:24 time: 0.4097 data_time: 0.0150 memory: 8039 grad_norm: 1.2525 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1932 loss: 3.1932 2022/08/20 04:36:05 - mmengine - INFO - Epoch(train) [26][300/940] lr: 3.0089e-01 eta: 23:15:35 time: 0.3682 data_time: 0.0144 memory: 8039 grad_norm: 1.2567 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1704 loss: 3.1704 2022/08/20 04:36:43 - mmengine - INFO - Epoch(train) [26][400/940] lr: 3.0199e-01 eta: 23:14:51 time: 0.3736 data_time: 0.0155 memory: 8039 grad_norm: 1.2601 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3822 loss: 3.3822 2022/08/20 04:37:21 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 04:37:21 - mmengine - INFO - Epoch(train) [26][500/940] lr: 3.0309e-01 eta: 23:14:07 time: 0.3907 data_time: 0.0151 memory: 8039 grad_norm: 1.2475 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1068 loss: 3.1068 2022/08/20 04:37:58 - mmengine - INFO - Epoch(train) [26][600/940] lr: 3.0419e-01 eta: 23:13:13 time: 0.3689 data_time: 0.0151 memory: 8039 grad_norm: 1.2600 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0434 loss: 3.0434 2022/08/20 04:38:35 - mmengine - INFO - Epoch(train) [26][700/940] lr: 3.0529e-01 eta: 23:12:20 time: 0.3625 data_time: 0.0153 memory: 8039 grad_norm: 1.2566 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3922 loss: 3.3922 2022/08/20 04:39:12 - mmengine - INFO - Epoch(train) [26][800/940] lr: 3.0639e-01 eta: 23:11:28 time: 0.3752 data_time: 0.0150 memory: 8039 grad_norm: 1.2223 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9826 loss: 2.9826 2022/08/20 04:39:48 - mmengine - INFO - Epoch(train) [26][900/940] lr: 3.0749e-01 eta: 23:10:34 time: 0.3715 data_time: 0.0155 memory: 8039 grad_norm: 1.2323 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.2052 loss: 3.2052 2022/08/20 04:40:03 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 04:40:03 - mmengine - INFO - Epoch(train) [26][940/940] lr: 3.0793e-01 eta: 23:10:10 time: 0.3529 data_time: 0.0153 memory: 8039 grad_norm: 1.2686 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.9920 loss: 2.9920 2022/08/20 04:40:43 - mmengine - INFO - Epoch(train) [27][100/940] lr: 3.0843e-01 eta: 23:09:41 time: 0.3677 data_time: 0.0152 memory: 8039 grad_norm: 1.2580 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.2625 loss: 3.2625 2022/08/20 04:41:21 - mmengine - INFO - Epoch(train) [27][200/940] lr: 3.0953e-01 eta: 23:08:56 time: 0.3743 data_time: 0.0150 memory: 8039 grad_norm: 1.2744 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0730 loss: 3.0730 2022/08/20 04:41:59 - mmengine - INFO - Epoch(train) [27][300/940] lr: 3.1063e-01 eta: 23:08:14 time: 0.3716 data_time: 0.0170 memory: 8039 grad_norm: 1.2207 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1621 loss: 3.1621 2022/08/20 04:42:37 - mmengine - INFO - Epoch(train) [27][400/940] lr: 3.1173e-01 eta: 23:07:36 time: 0.3640 data_time: 0.0155 memory: 8039 grad_norm: 1.2452 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1942 loss: 3.1942 2022/08/20 04:43:15 - mmengine - INFO - Epoch(train) [27][500/940] lr: 3.1282e-01 eta: 23:06:47 time: 0.3672 data_time: 0.0154 memory: 8039 grad_norm: 1.2586 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0489 loss: 3.0489 2022/08/20 04:43:38 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 04:43:53 - mmengine - INFO - Epoch(train) [27][600/940] lr: 3.1392e-01 eta: 23:06:01 time: 0.3836 data_time: 0.0178 memory: 8039 grad_norm: 1.2519 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2402 loss: 3.2402 2022/08/20 04:44:30 - mmengine - INFO - Epoch(train) [27][700/940] lr: 3.1502e-01 eta: 23:05:15 time: 0.3926 data_time: 0.0167 memory: 8039 grad_norm: 1.2550 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.3229 loss: 3.3229 2022/08/20 04:45:08 - mmengine - INFO - Epoch(train) [27][800/940] lr: 3.1612e-01 eta: 23:04:33 time: 0.4116 data_time: 0.0165 memory: 8039 grad_norm: 1.2548 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.3649 loss: 3.3649 2022/08/20 04:45:47 - mmengine - INFO - Epoch(train) [27][900/940] lr: 3.1722e-01 eta: 23:03:54 time: 0.3893 data_time: 0.0149 memory: 8039 grad_norm: 1.2182 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4039 loss: 3.4039 2022/08/20 04:46:02 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 04:46:02 - mmengine - INFO - Epoch(train) [27][940/940] lr: 3.1766e-01 eta: 23:03:31 time: 0.3568 data_time: 0.0134 memory: 8039 grad_norm: 1.2714 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.1990 loss: 3.1990 2022/08/20 04:46:41 - mmengine - INFO - Epoch(train) [28][100/940] lr: 3.1811e-01 eta: 23:03:00 time: 0.3719 data_time: 0.0152 memory: 8039 grad_norm: 1.2469 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0076 loss: 3.0076 2022/08/20 04:47:18 - mmengine - INFO - Epoch(train) [28][200/940] lr: 3.1921e-01 eta: 23:02:11 time: 0.3702 data_time: 0.0150 memory: 8039 grad_norm: 1.2483 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0325 loss: 3.0325 2022/08/20 04:47:56 - mmengine - INFO - Epoch(train) [28][300/940] lr: 3.2030e-01 eta: 23:01:23 time: 0.3697 data_time: 0.0149 memory: 8039 grad_norm: 1.2302 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2452 loss: 3.2452 2022/08/20 04:48:34 - mmengine - INFO - Epoch(train) [28][400/940] lr: 3.2140e-01 eta: 23:00:38 time: 0.3846 data_time: 0.0168 memory: 8039 grad_norm: 1.2336 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0003 loss: 3.0003 2022/08/20 04:49:12 - mmengine - INFO - Epoch(train) [28][500/940] lr: 3.2250e-01 eta: 22:59:55 time: 0.3987 data_time: 0.0158 memory: 8039 grad_norm: 1.2129 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1344 loss: 3.1344 2022/08/20 04:49:49 - mmengine - INFO - Epoch(train) [28][600/940] lr: 3.2359e-01 eta: 22:59:09 time: 0.3872 data_time: 0.0157 memory: 8039 grad_norm: 1.2330 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0614 loss: 3.0614 2022/08/20 04:49:57 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 04:50:29 - mmengine - INFO - Epoch(train) [28][700/940] lr: 3.2469e-01 eta: 22:58:38 time: 0.4382 data_time: 0.0163 memory: 8039 grad_norm: 1.2446 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.2239 loss: 3.2239 2022/08/20 04:51:06 - mmengine - INFO - Epoch(train) [28][800/940] lr: 3.2578e-01 eta: 22:57:48 time: 0.3688 data_time: 0.0142 memory: 8039 grad_norm: 1.2562 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3419 loss: 3.3419 2022/08/20 04:51:43 - mmengine - INFO - Epoch(train) [28][900/940] lr: 3.2688e-01 eta: 22:56:58 time: 0.3750 data_time: 0.0153 memory: 8039 grad_norm: 1.2286 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1415 loss: 3.1415 2022/08/20 04:51:58 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 04:51:58 - mmengine - INFO - Epoch(train) [28][940/940] lr: 3.2732e-01 eta: 22:56:38 time: 0.3676 data_time: 0.0148 memory: 8039 grad_norm: 1.2794 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.1960 loss: 3.1960 2022/08/20 04:51:58 - mmengine - INFO - Saving checkpoint at 28 epochs 2022/08/20 04:52:41 - mmengine - INFO - Epoch(train) [29][100/940] lr: 3.2773e-01 eta: 22:56:04 time: 0.3996 data_time: 0.0147 memory: 8039 grad_norm: 1.2316 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.4582 loss: 3.4582 2022/08/20 04:53:18 - mmengine - INFO - Epoch(train) [29][200/940] lr: 3.2882e-01 eta: 22:55:17 time: 0.3795 data_time: 0.0153 memory: 8039 grad_norm: 1.2186 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2105 loss: 3.2105 2022/08/20 04:53:56 - mmengine - INFO - Epoch(train) [29][300/940] lr: 3.2991e-01 eta: 22:54:29 time: 0.3715 data_time: 0.0146 memory: 8039 grad_norm: 1.2166 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.3889 loss: 3.3889 2022/08/20 04:54:34 - mmengine - INFO - Epoch(train) [29][400/940] lr: 3.3101e-01 eta: 22:53:45 time: 0.3705 data_time: 0.0161 memory: 8039 grad_norm: 1.2421 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3269 loss: 3.3269 2022/08/20 04:55:11 - mmengine - INFO - Epoch(train) [29][500/940] lr: 3.3210e-01 eta: 22:52:59 time: 0.3712 data_time: 0.0155 memory: 8039 grad_norm: 1.2583 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2600 loss: 3.2600 2022/08/20 04:55:50 - mmengine - INFO - Epoch(train) [29][600/940] lr: 3.3320e-01 eta: 22:52:20 time: 0.3695 data_time: 0.0157 memory: 8039 grad_norm: 1.2020 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.1430 loss: 3.1430 2022/08/20 04:56:20 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 04:56:27 - mmengine - INFO - Epoch(train) [29][700/940] lr: 3.3429e-01 eta: 22:51:32 time: 0.3648 data_time: 0.0157 memory: 8039 grad_norm: 1.2084 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2463 loss: 3.2463 2022/08/20 04:57:05 - mmengine - INFO - Epoch(train) [29][800/940] lr: 3.3538e-01 eta: 22:50:48 time: 0.3890 data_time: 0.0169 memory: 8039 grad_norm: 1.2094 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9305 loss: 2.9305 2022/08/20 04:57:42 - mmengine - INFO - Epoch(train) [29][900/940] lr: 3.3648e-01 eta: 22:50:03 time: 0.3867 data_time: 0.0165 memory: 8039 grad_norm: 1.2150 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1309 loss: 3.1309 2022/08/20 04:57:57 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 04:57:57 - mmengine - INFO - Epoch(train) [29][940/940] lr: 3.3691e-01 eta: 22:49:41 time: 0.3614 data_time: 0.0142 memory: 8039 grad_norm: 1.2553 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.5720 loss: 3.5720 2022/08/20 04:58:36 - mmengine - INFO - Epoch(train) [30][100/940] lr: 3.3727e-01 eta: 22:49:08 time: 0.3697 data_time: 0.0151 memory: 8039 grad_norm: 1.2339 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0704 loss: 3.0704 2022/08/20 04:59:14 - mmengine - INFO - Epoch(train) [30][200/940] lr: 3.3837e-01 eta: 22:48:19 time: 0.3744 data_time: 0.0146 memory: 8039 grad_norm: 1.2451 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1581 loss: 3.1581 2022/08/20 04:59:51 - mmengine - INFO - Epoch(train) [30][300/940] lr: 3.3946e-01 eta: 22:47:32 time: 0.3706 data_time: 0.0152 memory: 8039 grad_norm: 1.2497 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.2079 loss: 3.2079 2022/08/20 05:00:29 - mmengine - INFO - Epoch(train) [30][400/940] lr: 3.4055e-01 eta: 22:46:49 time: 0.3765 data_time: 0.0143 memory: 8039 grad_norm: 1.2151 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1616 loss: 3.1616 2022/08/20 05:01:07 - mmengine - INFO - Epoch(train) [30][500/940] lr: 3.4164e-01 eta: 22:46:03 time: 0.3696 data_time: 0.0151 memory: 8039 grad_norm: 1.2065 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2906 loss: 3.2906 2022/08/20 05:01:45 - mmengine - INFO - Epoch(train) [30][600/940] lr: 3.4273e-01 eta: 22:45:24 time: 0.4012 data_time: 0.0159 memory: 8039 grad_norm: 1.1911 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1457 loss: 3.1457 2022/08/20 05:02:24 - mmengine - INFO - Epoch(train) [30][700/940] lr: 3.4382e-01 eta: 22:44:46 time: 0.4036 data_time: 0.0155 memory: 8039 grad_norm: 1.2171 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0690 loss: 3.0690 2022/08/20 05:02:39 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 05:03:02 - mmengine - INFO - Epoch(train) [30][800/940] lr: 3.4491e-01 eta: 22:44:07 time: 0.3985 data_time: 0.0161 memory: 8039 grad_norm: 1.2180 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2184 loss: 3.2184 2022/08/20 05:03:40 - mmengine - INFO - Epoch(train) [30][900/940] lr: 3.4600e-01 eta: 22:43:23 time: 0.3795 data_time: 0.0175 memory: 8039 grad_norm: 1.2148 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9700 loss: 2.9700 2022/08/20 05:03:55 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 05:03:55 - mmengine - INFO - Epoch(train) [30][940/940] lr: 3.4644e-01 eta: 22:43:05 time: 0.3820 data_time: 0.0142 memory: 8039 grad_norm: 1.2390 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.6358 loss: 3.6358 2022/08/20 05:04:14 - mmengine - INFO - Epoch(val) [30][78/78] acc/top1: 0.3427 acc/top5: 0.6245 acc/mean1: 0.3425 2022/08/20 05:04:54 - mmengine - INFO - Epoch(train) [31][100/940] lr: 3.4675e-01 eta: 22:42:37 time: 0.3783 data_time: 0.0161 memory: 8039 grad_norm: 1.2201 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2502 loss: 3.2502 2022/08/20 05:05:32 - mmengine - INFO - Epoch(train) [31][200/940] lr: 3.4784e-01 eta: 22:41:54 time: 0.3981 data_time: 0.0154 memory: 8039 grad_norm: 1.2129 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0940 loss: 3.0940 2022/08/20 05:06:10 - mmengine - INFO - Epoch(train) [31][300/940] lr: 3.4893e-01 eta: 22:41:09 time: 0.3944 data_time: 0.0148 memory: 8039 grad_norm: 1.2133 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1434 loss: 3.1434 2022/08/20 05:06:47 - mmengine - INFO - Epoch(train) [31][400/940] lr: 3.5002e-01 eta: 22:40:22 time: 0.3687 data_time: 0.0148 memory: 8039 grad_norm: 1.2198 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1675 loss: 3.1675 2022/08/20 05:07:26 - mmengine - INFO - Epoch(train) [31][500/940] lr: 3.5111e-01 eta: 22:39:42 time: 0.3702 data_time: 0.0154 memory: 8039 grad_norm: 1.2235 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1553 loss: 3.1553 2022/08/20 05:08:03 - mmengine - INFO - Epoch(train) [31][600/940] lr: 3.5220e-01 eta: 22:38:55 time: 0.3762 data_time: 0.0162 memory: 8039 grad_norm: 1.2116 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2416 loss: 3.2416 2022/08/20 05:08:41 - mmengine - INFO - Epoch(train) [31][700/940] lr: 3.5328e-01 eta: 22:38:14 time: 0.3995 data_time: 0.0159 memory: 8039 grad_norm: 1.2105 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2519 loss: 3.2519 2022/08/20 05:09:19 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 05:09:19 - mmengine - INFO - Epoch(train) [31][800/940] lr: 3.5437e-01 eta: 22:37:30 time: 0.3844 data_time: 0.0145 memory: 8039 grad_norm: 1.2016 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.0183 loss: 3.0183 2022/08/20 05:09:57 - mmengine - INFO - Epoch(train) [31][900/940] lr: 3.5546e-01 eta: 22:36:49 time: 0.3802 data_time: 0.0155 memory: 8039 grad_norm: 1.2219 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1904 loss: 3.1904 2022/08/20 05:10:12 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 05:10:12 - mmengine - INFO - Epoch(train) [31][940/940] lr: 3.5590e-01 eta: 22:36:33 time: 0.3538 data_time: 0.0143 memory: 8039 grad_norm: 1.2396 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1797 loss: 3.1797 2022/08/20 05:10:52 - mmengine - INFO - Epoch(train) [32][100/940] lr: 3.5616e-01 eta: 22:36:04 time: 0.3897 data_time: 0.0161 memory: 8039 grad_norm: 1.2082 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1237 loss: 3.1237 2022/08/20 05:11:30 - mmengine - INFO - Epoch(train) [32][200/940] lr: 3.5724e-01 eta: 22:35:16 time: 0.3770 data_time: 0.0156 memory: 8039 grad_norm: 1.2156 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2104 loss: 3.2104 2022/08/20 05:12:07 - mmengine - INFO - Epoch(train) [32][300/940] lr: 3.5833e-01 eta: 22:34:31 time: 0.3685 data_time: 0.0152 memory: 8039 grad_norm: 1.2093 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1244 loss: 3.1244 2022/08/20 05:12:45 - mmengine - INFO - Epoch(train) [32][400/940] lr: 3.5942e-01 eta: 22:33:47 time: 0.3794 data_time: 0.0152 memory: 8039 grad_norm: 1.2015 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2049 loss: 3.2049 2022/08/20 05:13:22 - mmengine - INFO - Epoch(train) [32][500/940] lr: 3.6050e-01 eta: 22:33:02 time: 0.3801 data_time: 0.0153 memory: 8039 grad_norm: 1.1900 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2206 loss: 3.2206 2022/08/20 05:14:00 - mmengine - INFO - Epoch(train) [32][600/940] lr: 3.6159e-01 eta: 22:32:19 time: 0.3770 data_time: 0.0152 memory: 8039 grad_norm: 1.1791 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0152 loss: 3.0152 2022/08/20 05:14:38 - mmengine - INFO - Epoch(train) [32][700/940] lr: 3.6267e-01 eta: 22:31:35 time: 0.3689 data_time: 0.0148 memory: 8039 grad_norm: 1.2095 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3750 loss: 3.3750 2022/08/20 05:15:16 - mmengine - INFO - Epoch(train) [32][800/940] lr: 3.6376e-01 eta: 22:30:51 time: 0.3782 data_time: 0.0160 memory: 8039 grad_norm: 1.1848 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5096 loss: 3.5096 2022/08/20 05:15:38 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 05:15:53 - mmengine - INFO - Epoch(train) [32][900/940] lr: 3.6485e-01 eta: 22:30:04 time: 0.3818 data_time: 0.0161 memory: 8039 grad_norm: 1.1991 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.1674 loss: 3.1674 2022/08/20 05:16:07 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 05:16:07 - mmengine - INFO - Epoch(train) [32][940/940] lr: 3.6528e-01 eta: 22:29:42 time: 0.3528 data_time: 0.0139 memory: 8039 grad_norm: 1.2097 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.2259 loss: 3.2259 2022/08/20 05:16:07 - mmengine - INFO - Saving checkpoint at 32 epochs 2022/08/20 05:16:50 - mmengine - INFO - Epoch(train) [33][100/940] lr: 3.6549e-01 eta: 22:29:06 time: 0.3774 data_time: 0.0151 memory: 8039 grad_norm: 1.2148 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0270 loss: 3.0270 2022/08/20 05:17:28 - mmengine - INFO - Epoch(train) [33][200/940] lr: 3.6657e-01 eta: 22:28:19 time: 0.3666 data_time: 0.0145 memory: 8039 grad_norm: 1.1846 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8919 loss: 2.8919 2022/08/20 05:18:06 - mmengine - INFO - Epoch(train) [33][300/940] lr: 3.6766e-01 eta: 22:27:37 time: 0.3758 data_time: 0.0153 memory: 8039 grad_norm: 1.1749 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2643 loss: 3.2643 2022/08/20 05:18:43 - mmengine - INFO - Epoch(train) [33][400/940] lr: 3.6874e-01 eta: 22:26:52 time: 0.3776 data_time: 0.0173 memory: 8039 grad_norm: 1.2152 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5738 loss: 3.5738 2022/08/20 05:19:20 - mmengine - INFO - Epoch(train) [33][500/940] lr: 3.6982e-01 eta: 22:26:06 time: 0.3736 data_time: 0.0169 memory: 8039 grad_norm: 1.1771 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8455 loss: 2.8455 2022/08/20 05:19:58 - mmengine - INFO - Epoch(train) [33][600/940] lr: 3.7091e-01 eta: 22:25:19 time: 0.3676 data_time: 0.0152 memory: 8039 grad_norm: 1.1829 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.3434 loss: 3.3434 2022/08/20 05:20:35 - mmengine - INFO - Epoch(train) [33][700/940] lr: 3.7199e-01 eta: 22:24:36 time: 0.3752 data_time: 0.0158 memory: 8039 grad_norm: 1.1674 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1230 loss: 3.1230 2022/08/20 05:21:14 - mmengine - INFO - Epoch(train) [33][800/940] lr: 3.7307e-01 eta: 22:23:57 time: 0.3721 data_time: 0.0161 memory: 8039 grad_norm: 1.1792 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.3363 loss: 3.3363 2022/08/20 05:21:51 - mmengine - INFO - Epoch(train) [33][900/940] lr: 3.7416e-01 eta: 22:23:12 time: 0.3661 data_time: 0.0147 memory: 8039 grad_norm: 1.1776 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0394 loss: 3.0394 2022/08/20 05:21:59 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 05:22:06 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 05:22:06 - mmengine - INFO - Epoch(train) [33][940/940] lr: 3.7459e-01 eta: 22:22:53 time: 0.3696 data_time: 0.0145 memory: 8039 grad_norm: 1.2150 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.4960 loss: 3.4960 2022/08/20 05:22:46 - mmengine - INFO - Epoch(train) [34][100/940] lr: 3.7474e-01 eta: 22:22:21 time: 0.3958 data_time: 0.0154 memory: 8039 grad_norm: 1.1679 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.2279 loss: 3.2279 2022/08/20 05:23:24 - mmengine - INFO - Epoch(train) [34][200/940] lr: 3.7582e-01 eta: 22:21:42 time: 0.3912 data_time: 0.0156 memory: 8039 grad_norm: 1.1869 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2579 loss: 3.2579 2022/08/20 05:24:02 - mmengine - INFO - Epoch(train) [34][300/940] lr: 3.7691e-01 eta: 22:21:02 time: 0.4042 data_time: 0.0155 memory: 8039 grad_norm: 1.1940 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2111 loss: 3.2111 2022/08/20 05:24:41 - mmengine - INFO - Epoch(train) [34][400/940] lr: 3.7799e-01 eta: 22:20:22 time: 0.3877 data_time: 0.0155 memory: 8039 grad_norm: 1.1797 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9326 loss: 2.9326 2022/08/20 05:25:18 - mmengine - INFO - Epoch(train) [34][500/940] lr: 3.7907e-01 eta: 22:19:37 time: 0.3658 data_time: 0.0149 memory: 8039 grad_norm: 1.1626 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.4490 loss: 3.4490 2022/08/20 05:25:55 - mmengine - INFO - Epoch(train) [34][600/940] lr: 3.8015e-01 eta: 22:18:52 time: 0.3750 data_time: 0.0143 memory: 8039 grad_norm: 1.1727 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2000 loss: 3.2000 2022/08/20 05:26:33 - mmengine - INFO - Epoch(train) [34][700/940] lr: 3.8123e-01 eta: 22:18:08 time: 0.3786 data_time: 0.0144 memory: 8039 grad_norm: 1.1895 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.3809 loss: 3.3809 2022/08/20 05:27:11 - mmengine - INFO - Epoch(train) [34][800/940] lr: 3.8231e-01 eta: 22:17:25 time: 0.3689 data_time: 0.0149 memory: 8039 grad_norm: 1.1630 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9630 loss: 2.9630 2022/08/20 05:27:48 - mmengine - INFO - Epoch(train) [34][900/940] lr: 3.8339e-01 eta: 22:16:40 time: 0.3646 data_time: 0.0158 memory: 8039 grad_norm: 1.1773 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1602 loss: 3.1602 2022/08/20 05:28:03 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 05:28:03 - mmengine - INFO - Epoch(train) [34][940/940] lr: 3.8382e-01 eta: 22:16:23 time: 0.3575 data_time: 0.0140 memory: 8039 grad_norm: 1.2023 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 2.9385 loss: 2.9385 2022/08/20 05:28:21 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 05:28:43 - mmengine - INFO - Epoch(train) [35][100/940] lr: 3.8284e-01 eta: 22:15:55 time: 0.3762 data_time: 0.0159 memory: 8039 grad_norm: 1.1815 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0534 loss: 3.0534 2022/08/20 05:29:22 - mmengine - INFO - Epoch(train) [35][200/940] lr: 3.8284e-01 eta: 22:15:15 time: 0.3829 data_time: 0.0166 memory: 8039 grad_norm: 1.1855 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5205 loss: 3.5205 2022/08/20 05:29:59 - mmengine - INFO - Epoch(train) [35][300/940] lr: 3.8284e-01 eta: 22:14:31 time: 0.3676 data_time: 0.0150 memory: 8039 grad_norm: 1.1788 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0185 loss: 3.0185 2022/08/20 05:30:37 - mmengine - INFO - Epoch(train) [35][400/940] lr: 3.8284e-01 eta: 22:13:51 time: 0.3708 data_time: 0.0149 memory: 8039 grad_norm: 1.1723 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2172 loss: 3.2172 2022/08/20 05:31:15 - mmengine - INFO - Epoch(train) [35][500/940] lr: 3.8284e-01 eta: 22:13:09 time: 0.3794 data_time: 0.0164 memory: 8039 grad_norm: 1.1529 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2647 loss: 3.2647 2022/08/20 05:31:54 - mmengine - INFO - Epoch(train) [35][600/940] lr: 3.8284e-01 eta: 22:12:31 time: 0.3969 data_time: 0.0164 memory: 8039 grad_norm: 1.1761 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1917 loss: 3.1917 2022/08/20 05:32:32 - mmengine - INFO - Epoch(train) [35][700/940] lr: 3.8284e-01 eta: 22:11:48 time: 0.3659 data_time: 0.0150 memory: 8039 grad_norm: 1.1708 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2029 loss: 3.2029 2022/08/20 05:33:09 - mmengine - INFO - Epoch(train) [35][800/940] lr: 3.8284e-01 eta: 22:11:04 time: 0.3667 data_time: 0.0146 memory: 8039 grad_norm: 1.1717 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.4293 loss: 3.4293 2022/08/20 05:33:47 - mmengine - INFO - Epoch(train) [35][900/940] lr: 3.8284e-01 eta: 22:10:21 time: 0.3662 data_time: 0.0157 memory: 8039 grad_norm: 1.1920 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.3228 loss: 3.3228 2022/08/20 05:34:02 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 05:34:02 - mmengine - INFO - Epoch(train) [35][940/940] lr: 3.8284e-01 eta: 22:10:02 time: 0.3583 data_time: 0.0144 memory: 8039 grad_norm: 1.2242 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.3692 loss: 3.3692 2022/08/20 05:34:22 - mmengine - INFO - Epoch(val) [35][78/78] acc/top1: 0.3205 acc/top5: 0.5844 acc/mean1: 0.3205 2022/08/20 05:35:01 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 05:35:01 - mmengine - INFO - Epoch(train) [36][100/940] lr: 3.8183e-01 eta: 22:09:27 time: 0.3726 data_time: 0.0150 memory: 8039 grad_norm: 1.1947 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.2532 loss: 3.2532 2022/08/20 05:35:38 - mmengine - INFO - Epoch(train) [36][200/940] lr: 3.8183e-01 eta: 22:08:41 time: 0.3722 data_time: 0.0158 memory: 8039 grad_norm: 1.1770 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1431 loss: 3.1431 2022/08/20 05:36:15 - mmengine - INFO - Epoch(train) [36][300/940] lr: 3.8183e-01 eta: 22:07:53 time: 0.3709 data_time: 0.0167 memory: 8039 grad_norm: 1.1899 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9830 loss: 2.9830 2022/08/20 05:36:52 - mmengine - INFO - Epoch(train) [36][400/940] lr: 3.8183e-01 eta: 22:07:07 time: 0.3723 data_time: 0.0157 memory: 8039 grad_norm: 1.1471 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1693 loss: 3.1693 2022/08/20 05:37:30 - mmengine - INFO - Epoch(train) [36][500/940] lr: 3.8183e-01 eta: 22:06:25 time: 0.3691 data_time: 0.0142 memory: 8039 grad_norm: 1.1851 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.0468 loss: 3.0468 2022/08/20 05:38:07 - mmengine - INFO - Epoch(train) [36][600/940] lr: 3.8183e-01 eta: 22:05:42 time: 0.3781 data_time: 0.0149 memory: 8039 grad_norm: 1.1690 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1584 loss: 3.1584 2022/08/20 05:38:46 - mmengine - INFO - Epoch(train) [36][700/940] lr: 3.8183e-01 eta: 22:05:01 time: 0.3871 data_time: 0.0168 memory: 8039 grad_norm: 1.1721 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2493 loss: 3.2493 2022/08/20 05:39:23 - mmengine - INFO - Epoch(train) [36][800/940] lr: 3.8183e-01 eta: 22:04:18 time: 0.3699 data_time: 0.0157 memory: 8039 grad_norm: 1.1972 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5556 loss: 3.5556 2022/08/20 05:40:00 - mmengine - INFO - Epoch(train) [36][900/940] lr: 3.8183e-01 eta: 22:03:32 time: 0.3680 data_time: 0.0145 memory: 8039 grad_norm: 1.1660 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.1611 loss: 3.1611 2022/08/20 05:40:15 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 05:40:15 - mmengine - INFO - Epoch(train) [36][940/940] lr: 3.8183e-01 eta: 22:03:12 time: 0.3610 data_time: 0.0143 memory: 8039 grad_norm: 1.1999 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.2671 loss: 3.2671 2022/08/20 05:40:15 - mmengine - INFO - Saving checkpoint at 36 epochs 2022/08/20 05:40:58 - mmengine - INFO - Epoch(train) [37][100/940] lr: 3.8080e-01 eta: 22:02:34 time: 0.3742 data_time: 0.0150 memory: 8039 grad_norm: 1.1578 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.4095 loss: 3.4095 2022/08/20 05:41:21 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 05:41:36 - mmengine - INFO - Epoch(train) [37][200/940] lr: 3.8080e-01 eta: 22:01:54 time: 0.3733 data_time: 0.0151 memory: 8039 grad_norm: 1.1756 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.4178 loss: 3.4178 2022/08/20 05:42:13 - mmengine - INFO - Epoch(train) [37][300/940] lr: 3.8080e-01 eta: 22:01:09 time: 0.3757 data_time: 0.0147 memory: 8039 grad_norm: 1.1769 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2217 loss: 3.2217 2022/08/20 05:42:51 - mmengine - INFO - Epoch(train) [37][400/940] lr: 3.8080e-01 eta: 22:00:26 time: 0.3663 data_time: 0.0146 memory: 8039 grad_norm: 1.2003 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.0350 loss: 3.0350 2022/08/20 05:43:28 - mmengine - INFO - Epoch(train) [37][500/940] lr: 3.8080e-01 eta: 21:59:42 time: 0.3867 data_time: 0.0153 memory: 8039 grad_norm: 1.1639 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1011 loss: 3.1011 2022/08/20 05:44:06 - mmengine - INFO - Epoch(train) [37][600/940] lr: 3.8080e-01 eta: 21:59:00 time: 0.3842 data_time: 0.0158 memory: 8039 grad_norm: 1.1757 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1381 loss: 3.1381 2022/08/20 05:44:44 - mmengine - INFO - Epoch(train) [37][700/940] lr: 3.8080e-01 eta: 21:58:20 time: 0.3882 data_time: 0.0143 memory: 8039 grad_norm: 1.1676 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1616 loss: 3.1616 2022/08/20 05:45:22 - mmengine - INFO - Epoch(train) [37][800/940] lr: 3.8080e-01 eta: 21:57:36 time: 0.3687 data_time: 0.0154 memory: 8039 grad_norm: 1.1743 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2089 loss: 3.2089 2022/08/20 05:45:59 - mmengine - INFO - Epoch(train) [37][900/940] lr: 3.8080e-01 eta: 21:56:52 time: 0.3695 data_time: 0.0173 memory: 8039 grad_norm: 1.1883 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4457 loss: 3.4457 2022/08/20 05:46:14 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 05:46:14 - mmengine - INFO - Epoch(train) [37][940/940] lr: 3.8080e-01 eta: 21:56:35 time: 0.3678 data_time: 0.0154 memory: 8039 grad_norm: 1.2087 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.9552 loss: 2.9552 2022/08/20 05:46:54 - mmengine - INFO - Epoch(train) [38][100/940] lr: 3.7973e-01 eta: 21:56:02 time: 0.3744 data_time: 0.0167 memory: 8039 grad_norm: 1.1612 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1409 loss: 3.1409 2022/08/20 05:47:31 - mmengine - INFO - Epoch(train) [38][200/940] lr: 3.7973e-01 eta: 21:55:20 time: 0.3667 data_time: 0.0172 memory: 8039 grad_norm: 1.1731 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0088 loss: 3.0088 2022/08/20 05:47:39 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 05:48:09 - mmengine - INFO - Epoch(train) [38][300/940] lr: 3.7973e-01 eta: 21:54:39 time: 0.3887 data_time: 0.0162 memory: 8039 grad_norm: 1.1822 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9523 loss: 2.9523 2022/08/20 05:48:47 - mmengine - INFO - Epoch(train) [38][400/940] lr: 3.7973e-01 eta: 21:53:57 time: 0.3901 data_time: 0.0159 memory: 8039 grad_norm: 1.1772 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3477 loss: 3.3477 2022/08/20 05:49:25 - mmengine - INFO - Epoch(train) [38][500/940] lr: 3.7973e-01 eta: 21:53:15 time: 0.3868 data_time: 0.0157 memory: 8039 grad_norm: 1.1803 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.4140 loss: 3.4140 2022/08/20 05:50:03 - mmengine - INFO - Epoch(train) [38][600/940] lr: 3.7973e-01 eta: 21:52:35 time: 0.3862 data_time: 0.0145 memory: 8039 grad_norm: 1.1719 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2540 loss: 3.2540 2022/08/20 05:50:40 - mmengine - INFO - Epoch(train) [38][700/940] lr: 3.7973e-01 eta: 21:51:50 time: 0.3654 data_time: 0.0158 memory: 8039 grad_norm: 1.1908 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8095 loss: 2.8095 2022/08/20 05:51:18 - mmengine - INFO - Epoch(train) [38][800/940] lr: 3.7973e-01 eta: 21:51:08 time: 0.3717 data_time: 0.0145 memory: 8039 grad_norm: 1.1624 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4165 loss: 3.4165 2022/08/20 05:51:56 - mmengine - INFO - Epoch(train) [38][900/940] lr: 3.7973e-01 eta: 21:50:26 time: 0.3712 data_time: 0.0144 memory: 8039 grad_norm: 1.1785 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0682 loss: 3.0682 2022/08/20 05:52:10 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 05:52:10 - mmengine - INFO - Epoch(train) [38][940/940] lr: 3.7973e-01 eta: 21:50:07 time: 0.3554 data_time: 0.0153 memory: 8039 grad_norm: 1.2120 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.5013 loss: 3.5013 2022/08/20 05:52:50 - mmengine - INFO - Epoch(train) [39][100/940] lr: 3.7864e-01 eta: 21:49:36 time: 0.3819 data_time: 0.0164 memory: 8039 grad_norm: 1.1722 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.3951 loss: 3.3951 2022/08/20 05:53:28 - mmengine - INFO - Epoch(train) [39][200/940] lr: 3.7864e-01 eta: 21:48:54 time: 0.3928 data_time: 0.0161 memory: 8039 grad_norm: 1.1723 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4314 loss: 3.4314 2022/08/20 05:53:58 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 05:54:05 - mmengine - INFO - Epoch(train) [39][300/940] lr: 3.7864e-01 eta: 21:48:11 time: 0.3796 data_time: 0.0147 memory: 8039 grad_norm: 1.1819 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9840 loss: 2.9840 2022/08/20 05:54:43 - mmengine - INFO - Epoch(train) [39][400/940] lr: 3.7864e-01 eta: 21:47:26 time: 0.3699 data_time: 0.0149 memory: 8039 grad_norm: 1.1735 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1889 loss: 3.1889 2022/08/20 05:55:20 - mmengine - INFO - Epoch(train) [39][500/940] lr: 3.7864e-01 eta: 21:46:44 time: 0.3696 data_time: 0.0160 memory: 8039 grad_norm: 1.1944 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3863 loss: 3.3863 2022/08/20 05:55:58 - mmengine - INFO - Epoch(train) [39][600/940] lr: 3.7864e-01 eta: 21:46:03 time: 0.3686 data_time: 0.0170 memory: 8039 grad_norm: 1.1593 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2233 loss: 3.2233 2022/08/20 05:56:36 - mmengine - INFO - Epoch(train) [39][700/940] lr: 3.7864e-01 eta: 21:45:20 time: 0.3731 data_time: 0.0162 memory: 8039 grad_norm: 1.1894 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9427 loss: 2.9427 2022/08/20 05:57:13 - mmengine - INFO - Epoch(train) [39][800/940] lr: 3.7864e-01 eta: 21:44:36 time: 0.3682 data_time: 0.0149 memory: 8039 grad_norm: 1.1668 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0088 loss: 3.0088 2022/08/20 05:57:51 - mmengine - INFO - Epoch(train) [39][900/940] lr: 3.7864e-01 eta: 21:43:52 time: 0.3701 data_time: 0.0150 memory: 8039 grad_norm: 1.1825 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1342 loss: 3.1342 2022/08/20 05:58:06 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 05:58:06 - mmengine - INFO - Epoch(train) [39][940/940] lr: 3.7864e-01 eta: 21:43:36 time: 0.3565 data_time: 0.0145 memory: 8039 grad_norm: 1.1984 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 3.3696 loss: 3.3696 2022/08/20 05:58:46 - mmengine - INFO - Epoch(train) [40][100/940] lr: 3.7753e-01 eta: 21:43:08 time: 0.3893 data_time: 0.0147 memory: 8039 grad_norm: 1.1748 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9463 loss: 2.9463 2022/08/20 05:59:23 - mmengine - INFO - Epoch(train) [40][200/940] lr: 3.7753e-01 eta: 21:42:23 time: 0.3636 data_time: 0.0144 memory: 8039 grad_norm: 1.1775 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1352 loss: 3.1352 2022/08/20 06:00:07 - mmengine - INFO - Epoch(train) [40][300/940] lr: 3.7753e-01 eta: 21:42:14 time: 0.6299 data_time: 0.0200 memory: 8039 grad_norm: 1.1565 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2626 loss: 3.2626 2022/08/20 06:00:22 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 06:00:45 - mmengine - INFO - Epoch(train) [40][400/940] lr: 3.7753e-01 eta: 21:41:31 time: 0.3827 data_time: 0.0161 memory: 8039 grad_norm: 1.1963 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.2708 loss: 3.2708 2022/08/20 06:01:23 - mmengine - INFO - Epoch(train) [40][500/940] lr: 3.7753e-01 eta: 21:40:51 time: 0.3756 data_time: 0.0143 memory: 8039 grad_norm: 1.2114 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0259 loss: 3.0259 2022/08/20 06:02:01 - mmengine - INFO - Epoch(train) [40][600/940] lr: 3.7753e-01 eta: 21:40:13 time: 0.4092 data_time: 0.0156 memory: 8039 grad_norm: 1.1665 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.0062 loss: 3.0062 2022/08/20 06:02:39 - mmengine - INFO - Epoch(train) [40][700/940] lr: 3.7753e-01 eta: 21:39:31 time: 0.3825 data_time: 0.0148 memory: 8039 grad_norm: 1.1788 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4553 loss: 3.4553 2022/08/20 06:03:16 - mmengine - INFO - Epoch(train) [40][800/940] lr: 3.7753e-01 eta: 21:38:49 time: 0.3934 data_time: 0.0154 memory: 8039 grad_norm: 1.1948 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9816 loss: 2.9816 2022/08/20 06:03:54 - mmengine - INFO - Epoch(train) [40][900/940] lr: 3.7753e-01 eta: 21:38:09 time: 0.3849 data_time: 0.0153 memory: 8039 grad_norm: 1.1583 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2414 loss: 3.2414 2022/08/20 06:04:09 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 06:04:09 - mmengine - INFO - Epoch(train) [40][940/940] lr: 3.7753e-01 eta: 21:37:51 time: 0.3712 data_time: 0.0151 memory: 8039 grad_norm: 1.1953 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1876 loss: 3.1876 2022/08/20 06:04:09 - mmengine - INFO - Saving checkpoint at 40 epochs 2022/08/20 06:04:32 - mmengine - INFO - Epoch(val) [40][78/78] acc/top1: 0.3492 acc/top5: 0.6195 acc/mean1: 0.3490 2022/08/20 06:04:32 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb/best_acc/top1_epoch_26.pth is removed 2022/08/20 06:04:35 - mmengine - INFO - The best checkpoint with 0.3492 acc/top1 at 41 epoch is saved to best_acc/top1_epoch_41.pth. 2022/08/20 06:05:13 - mmengine - INFO - Epoch(train) [41][100/940] lr: 3.7638e-01 eta: 21:37:13 time: 0.3682 data_time: 0.0141 memory: 8039 grad_norm: 1.1690 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.9037 loss: 2.9037 2022/08/20 06:05:51 - mmengine - INFO - Epoch(train) [41][200/940] lr: 3.7638e-01 eta: 21:36:32 time: 0.4027 data_time: 0.0162 memory: 8039 grad_norm: 1.1736 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.4732 loss: 3.4732 2022/08/20 06:06:29 - mmengine - INFO - Epoch(train) [41][300/940] lr: 3.7638e-01 eta: 21:35:50 time: 0.3898 data_time: 0.0162 memory: 8039 grad_norm: 1.1809 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3412 loss: 3.3412 2022/08/20 06:07:06 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 06:07:06 - mmengine - INFO - Epoch(train) [41][400/940] lr: 3.7638e-01 eta: 21:35:07 time: 0.3819 data_time: 0.0165 memory: 8039 grad_norm: 1.1760 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.1193 loss: 3.1193 2022/08/20 06:07:43 - mmengine - INFO - Epoch(train) [41][500/940] lr: 3.7638e-01 eta: 21:34:23 time: 0.3680 data_time: 0.0153 memory: 8039 grad_norm: 1.1809 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9744 loss: 2.9744 2022/08/20 06:08:21 - mmengine - INFO - Epoch(train) [41][600/940] lr: 3.7638e-01 eta: 21:33:39 time: 0.3624 data_time: 0.0159 memory: 8039 grad_norm: 1.2111 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.3729 loss: 3.3729 2022/08/20 06:08:58 - mmengine - INFO - Epoch(train) [41][700/940] lr: 3.7638e-01 eta: 21:32:56 time: 0.3698 data_time: 0.0164 memory: 8039 grad_norm: 1.1957 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.4265 loss: 3.4265 2022/08/20 06:09:36 - mmengine - INFO - Epoch(train) [41][800/940] lr: 3.7638e-01 eta: 21:32:13 time: 0.3814 data_time: 0.0155 memory: 8039 grad_norm: 1.1774 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.1644 loss: 3.1644 2022/08/20 06:10:13 - mmengine - INFO - Epoch(train) [41][900/940] lr: 3.7638e-01 eta: 21:31:29 time: 0.3670 data_time: 0.0149 memory: 8039 grad_norm: 1.1757 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3438 loss: 3.3438 2022/08/20 06:10:28 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 06:10:28 - mmengine - INFO - Epoch(train) [41][940/940] lr: 3.7638e-01 eta: 21:31:10 time: 0.3564 data_time: 0.0147 memory: 8039 grad_norm: 1.2128 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.3335 loss: 3.3335 2022/08/20 06:11:08 - mmengine - INFO - Epoch(train) [42][100/940] lr: 3.7521e-01 eta: 21:30:40 time: 0.3862 data_time: 0.0158 memory: 8039 grad_norm: 1.2058 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2564 loss: 3.2564 2022/08/20 06:11:45 - mmengine - INFO - Epoch(train) [42][200/940] lr: 3.7521e-01 eta: 21:29:59 time: 0.3853 data_time: 0.0161 memory: 8039 grad_norm: 1.1939 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0086 loss: 3.0086 2022/08/20 06:12:23 - mmengine - INFO - Epoch(train) [42][300/940] lr: 3.7521e-01 eta: 21:29:14 time: 0.3680 data_time: 0.0165 memory: 8039 grad_norm: 1.1923 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1578 loss: 3.1578 2022/08/20 06:13:00 - mmengine - INFO - Epoch(train) [42][400/940] lr: 3.7521e-01 eta: 21:28:33 time: 0.3838 data_time: 0.0157 memory: 8039 grad_norm: 1.1879 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.2731 loss: 3.2731 2022/08/20 06:13:23 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 06:13:39 - mmengine - INFO - Epoch(train) [42][500/940] lr: 3.7521e-01 eta: 21:27:57 time: 0.4151 data_time: 0.0156 memory: 8039 grad_norm: 1.2004 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9582 loss: 2.9582 2022/08/20 06:14:17 - mmengine - INFO - Epoch(train) [42][600/940] lr: 3.7521e-01 eta: 21:27:18 time: 0.3890 data_time: 0.0146 memory: 8039 grad_norm: 1.1891 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.0498 loss: 3.0498 2022/08/20 06:14:56 - mmengine - INFO - Epoch(train) [42][700/940] lr: 3.7521e-01 eta: 21:26:41 time: 0.3867 data_time: 0.0162 memory: 8039 grad_norm: 1.2085 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5205 loss: 3.5205 2022/08/20 06:15:34 - mmengine - INFO - Epoch(train) [42][800/940] lr: 3.7521e-01 eta: 21:25:58 time: 0.3716 data_time: 0.0138 memory: 8039 grad_norm: 1.1841 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.1035 loss: 3.1035 2022/08/20 06:16:12 - mmengine - INFO - Epoch(train) [42][900/940] lr: 3.7521e-01 eta: 21:25:19 time: 0.3688 data_time: 0.0161 memory: 8039 grad_norm: 1.1856 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2359 loss: 3.2359 2022/08/20 06:16:27 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 06:16:27 - mmengine - INFO - Epoch(train) [42][940/940] lr: 3.7521e-01 eta: 21:25:01 time: 0.3572 data_time: 0.0164 memory: 8039 grad_norm: 1.2032 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.5089 loss: 3.5089 2022/08/20 06:17:14 - mmengine - INFO - Epoch(train) [43][100/940] lr: 3.7402e-01 eta: 21:25:10 time: 0.3678 data_time: 0.0150 memory: 8039 grad_norm: 1.1835 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1331 loss: 3.1331 2022/08/20 06:17:53 - mmengine - INFO - Epoch(train) [43][200/940] lr: 3.7402e-01 eta: 21:24:33 time: 0.3912 data_time: 0.0168 memory: 8039 grad_norm: 1.1753 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0204 loss: 3.0204 2022/08/20 06:18:31 - mmengine - INFO - Epoch(train) [43][300/940] lr: 3.7402e-01 eta: 21:23:54 time: 0.4096 data_time: 0.0159 memory: 8039 grad_norm: 1.2014 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2478 loss: 3.2478 2022/08/20 06:19:09 - mmengine - INFO - Epoch(train) [43][400/940] lr: 3.7402e-01 eta: 21:23:15 time: 0.4085 data_time: 0.0159 memory: 8039 grad_norm: 1.1857 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3242 loss: 3.3242 2022/08/20 06:19:47 - mmengine - INFO - Epoch(train) [43][500/940] lr: 3.7402e-01 eta: 21:22:33 time: 0.3788 data_time: 0.0156 memory: 8039 grad_norm: 1.1701 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9306 loss: 2.9306 2022/08/20 06:19:54 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 06:20:25 - mmengine - INFO - Epoch(train) [43][600/940] lr: 3.7402e-01 eta: 21:21:51 time: 0.3723 data_time: 0.0142 memory: 8039 grad_norm: 1.1585 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2483 loss: 3.2483 2022/08/20 06:21:02 - mmengine - INFO - Epoch(train) [43][700/940] lr: 3.7402e-01 eta: 21:21:10 time: 0.3673 data_time: 0.0158 memory: 8039 grad_norm: 1.1836 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3170 loss: 3.3170 2022/08/20 06:21:41 - mmengine - INFO - Epoch(train) [43][800/940] lr: 3.7402e-01 eta: 21:20:31 time: 0.3747 data_time: 0.0161 memory: 8039 grad_norm: 1.2008 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2600 loss: 3.2600 2022/08/20 06:22:19 - mmengine - INFO - Epoch(train) [43][900/940] lr: 3.7402e-01 eta: 21:19:52 time: 0.3687 data_time: 0.0157 memory: 8039 grad_norm: 1.1757 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0404 loss: 3.0404 2022/08/20 06:22:34 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 06:22:34 - mmengine - INFO - Epoch(train) [43][940/940] lr: 3.7402e-01 eta: 21:19:37 time: 0.3531 data_time: 0.0144 memory: 8039 grad_norm: 1.2050 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.6057 loss: 3.6057 2022/08/20 06:23:15 - mmengine - INFO - Epoch(train) [44][100/940] lr: 3.7279e-01 eta: 21:19:08 time: 0.3707 data_time: 0.0147 memory: 8039 grad_norm: 1.1989 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0653 loss: 3.0653 2022/08/20 06:23:53 - mmengine - INFO - Epoch(train) [44][200/940] lr: 3.7279e-01 eta: 21:18:28 time: 0.4010 data_time: 0.0159 memory: 8039 grad_norm: 1.1941 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2349 loss: 3.2349 2022/08/20 06:24:32 - mmengine - INFO - Epoch(train) [44][300/940] lr: 3.7279e-01 eta: 21:17:55 time: 0.3749 data_time: 0.0160 memory: 8039 grad_norm: 1.1845 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0375 loss: 3.0375 2022/08/20 06:25:10 - mmengine - INFO - Epoch(train) [44][400/940] lr: 3.7279e-01 eta: 21:17:14 time: 0.3847 data_time: 0.0159 memory: 8039 grad_norm: 1.2066 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.3394 loss: 3.3394 2022/08/20 06:25:47 - mmengine - INFO - Epoch(train) [44][500/940] lr: 3.7279e-01 eta: 21:16:31 time: 0.3794 data_time: 0.0145 memory: 8039 grad_norm: 1.1727 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5535 loss: 3.5535 2022/08/20 06:26:17 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 06:26:24 - mmengine - INFO - Epoch(train) [44][600/940] lr: 3.7279e-01 eta: 21:15:46 time: 0.3652 data_time: 0.0149 memory: 8039 grad_norm: 1.1703 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.1966 loss: 3.1966 2022/08/20 06:27:01 - mmengine - INFO - Epoch(train) [44][700/940] lr: 3.7279e-01 eta: 21:15:01 time: 0.3681 data_time: 0.0163 memory: 8039 grad_norm: 1.1987 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0190 loss: 3.0190 2022/08/20 06:27:39 - mmengine - INFO - Epoch(train) [44][800/940] lr: 3.7279e-01 eta: 21:14:18 time: 0.3664 data_time: 0.0160 memory: 8039 grad_norm: 1.1978 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1163 loss: 3.1163 2022/08/20 06:28:17 - mmengine - INFO - Epoch(train) [44][900/940] lr: 3.7279e-01 eta: 21:13:37 time: 0.3679 data_time: 0.0147 memory: 8039 grad_norm: 1.1810 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.3056 loss: 3.3056 2022/08/20 06:28:31 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 06:28:31 - mmengine - INFO - Epoch(train) [44][940/940] lr: 3.7279e-01 eta: 21:13:18 time: 0.3610 data_time: 0.0142 memory: 8039 grad_norm: 1.2097 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.9962 loss: 2.9962 2022/08/20 06:28:31 - mmengine - INFO - Saving checkpoint at 44 epochs 2022/08/20 06:29:16 - mmengine - INFO - Epoch(train) [45][100/940] lr: 3.7155e-01 eta: 21:12:47 time: 0.3649 data_time: 0.0147 memory: 8039 grad_norm: 1.2124 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 3.3052 loss: 3.3052 2022/08/20 06:29:53 - mmengine - INFO - Epoch(train) [45][200/940] lr: 3.7155e-01 eta: 21:12:04 time: 0.3646 data_time: 0.0152 memory: 8039 grad_norm: 1.1711 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1427 loss: 3.1427 2022/08/20 06:30:32 - mmengine - INFO - Epoch(train) [45][300/940] lr: 3.7155e-01 eta: 21:11:27 time: 0.3637 data_time: 0.0149 memory: 8039 grad_norm: 1.2257 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3515 loss: 3.3515 2022/08/20 06:31:10 - mmengine - INFO - Epoch(train) [45][400/940] lr: 3.7155e-01 eta: 21:10:47 time: 0.3719 data_time: 0.0158 memory: 8039 grad_norm: 1.1962 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9842 loss: 2.9842 2022/08/20 06:31:47 - mmengine - INFO - Epoch(train) [45][500/940] lr: 3.7155e-01 eta: 21:10:06 time: 0.3758 data_time: 0.0150 memory: 8039 grad_norm: 1.2082 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1519 loss: 3.1519 2022/08/20 06:32:25 - mmengine - INFO - Epoch(train) [45][600/940] lr: 3.7155e-01 eta: 21:09:24 time: 0.3681 data_time: 0.0149 memory: 8039 grad_norm: 1.1876 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2559 loss: 3.2559 2022/08/20 06:32:40 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 06:33:03 - mmengine - INFO - Epoch(train) [45][700/940] lr: 3.7155e-01 eta: 21:08:42 time: 0.3832 data_time: 0.0170 memory: 8039 grad_norm: 1.1781 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8358 loss: 2.8358 2022/08/20 06:33:42 - mmengine - INFO - Epoch(train) [45][800/940] lr: 3.7155e-01 eta: 21:08:06 time: 0.3860 data_time: 0.0166 memory: 8039 grad_norm: 1.2208 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0453 loss: 3.0453 2022/08/20 06:34:19 - mmengine - INFO - Epoch(train) [45][900/940] lr: 3.7155e-01 eta: 21:07:24 time: 0.3904 data_time: 0.0156 memory: 8039 grad_norm: 1.1771 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8247 loss: 2.8247 2022/08/20 06:34:33 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 06:34:33 - mmengine - INFO - Epoch(train) [45][940/940] lr: 3.7155e-01 eta: 21:07:05 time: 0.3520 data_time: 0.0140 memory: 8039 grad_norm: 1.1914 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8216 loss: 2.8216 2022/08/20 06:34:53 - mmengine - INFO - Epoch(val) [45][78/78] acc/top1: 0.3414 acc/top5: 0.6124 acc/mean1: 0.3415 2022/08/20 06:35:33 - mmengine - INFO - Epoch(train) [46][100/940] lr: 3.7027e-01 eta: 21:06:33 time: 0.3871 data_time: 0.0164 memory: 8039 grad_norm: 1.2048 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 3.3932 loss: 3.3932 2022/08/20 06:36:11 - mmengine - INFO - Epoch(train) [46][200/940] lr: 3.7027e-01 eta: 21:05:51 time: 0.3871 data_time: 0.0157 memory: 8039 grad_norm: 1.1812 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7181 loss: 2.7181 2022/08/20 06:36:48 - mmengine - INFO - Epoch(train) [46][300/940] lr: 3.7027e-01 eta: 21:05:09 time: 0.3894 data_time: 0.0158 memory: 8039 grad_norm: 1.1859 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.2520 loss: 3.2520 2022/08/20 06:37:25 - mmengine - INFO - Epoch(train) [46][400/940] lr: 3.7027e-01 eta: 21:04:25 time: 0.3678 data_time: 0.0157 memory: 8039 grad_norm: 1.1804 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.2648 loss: 3.2648 2022/08/20 06:38:03 - mmengine - INFO - Epoch(train) [46][500/940] lr: 3.7027e-01 eta: 21:03:45 time: 0.3693 data_time: 0.0165 memory: 8039 grad_norm: 1.2134 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1372 loss: 3.1372 2022/08/20 06:38:42 - mmengine - INFO - Epoch(train) [46][600/940] lr: 3.7027e-01 eta: 21:03:08 time: 0.3607 data_time: 0.0162 memory: 8039 grad_norm: 1.1790 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0111 loss: 3.0111 2022/08/20 06:39:20 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 06:39:20 - mmengine - INFO - Epoch(train) [46][700/940] lr: 3.7027e-01 eta: 21:02:27 time: 0.3650 data_time: 0.0157 memory: 8039 grad_norm: 1.1763 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2648 loss: 3.2648 2022/08/20 06:39:57 - mmengine - INFO - Epoch(train) [46][800/940] lr: 3.7027e-01 eta: 21:01:47 time: 0.3694 data_time: 0.0150 memory: 8039 grad_norm: 1.1928 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0714 loss: 3.0714 2022/08/20 06:40:36 - mmengine - INFO - Epoch(train) [46][900/940] lr: 3.7027e-01 eta: 21:01:08 time: 0.3689 data_time: 0.0154 memory: 8039 grad_norm: 1.1457 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.1452 loss: 3.1452 2022/08/20 06:40:52 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 06:40:52 - mmengine - INFO - Epoch(train) [46][940/940] lr: 3.7027e-01 eta: 21:00:56 time: 0.4293 data_time: 0.0151 memory: 8039 grad_norm: 1.2249 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.5026 loss: 3.5026 2022/08/20 06:41:33 - mmengine - INFO - Epoch(train) [47][100/940] lr: 3.6897e-01 eta: 21:00:29 time: 0.4167 data_time: 0.0159 memory: 8039 grad_norm: 1.1879 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2087 loss: 3.2087 2022/08/20 06:42:10 - mmengine - INFO - Epoch(train) [47][200/940] lr: 3.6897e-01 eta: 20:59:46 time: 0.3720 data_time: 0.0157 memory: 8039 grad_norm: 1.1914 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0606 loss: 3.0606 2022/08/20 06:42:47 - mmengine - INFO - Epoch(train) [47][300/940] lr: 3.6897e-01 eta: 20:59:03 time: 0.3641 data_time: 0.0155 memory: 8039 grad_norm: 1.1693 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2609 loss: 3.2609 2022/08/20 06:43:25 - mmengine - INFO - Epoch(train) [47][400/940] lr: 3.6897e-01 eta: 20:58:22 time: 0.3935 data_time: 0.0155 memory: 8039 grad_norm: 1.1991 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1334 loss: 3.1334 2022/08/20 06:44:02 - mmengine - INFO - Epoch(train) [47][500/940] lr: 3.6897e-01 eta: 20:57:40 time: 0.3857 data_time: 0.0160 memory: 8039 grad_norm: 1.1878 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5031 loss: 3.5031 2022/08/20 06:44:40 - mmengine - INFO - Epoch(train) [47][600/940] lr: 3.6897e-01 eta: 20:56:57 time: 0.3854 data_time: 0.0159 memory: 8039 grad_norm: 1.1976 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3708 loss: 3.3708 2022/08/20 06:45:17 - mmengine - INFO - Epoch(train) [47][700/940] lr: 3.6897e-01 eta: 20:56:15 time: 0.3664 data_time: 0.0148 memory: 8039 grad_norm: 1.2138 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 3.1339 loss: 3.1339 2022/08/20 06:45:40 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 06:45:55 - mmengine - INFO - Epoch(train) [47][800/940] lr: 3.6897e-01 eta: 20:55:33 time: 0.3682 data_time: 0.0152 memory: 8039 grad_norm: 1.2219 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0104 loss: 3.0104 2022/08/20 06:46:33 - mmengine - INFO - Epoch(train) [47][900/940] lr: 3.6897e-01 eta: 20:54:53 time: 0.3697 data_time: 0.0151 memory: 8039 grad_norm: 1.1848 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9338 loss: 2.9338 2022/08/20 06:46:48 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 06:46:48 - mmengine - INFO - Epoch(train) [47][940/940] lr: 3.6897e-01 eta: 20:54:36 time: 0.3581 data_time: 0.0137 memory: 8039 grad_norm: 1.2238 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 3.1436 loss: 3.1436 2022/08/20 06:47:27 - mmengine - INFO - Epoch(train) [48][100/940] lr: 3.6764e-01 eta: 20:54:01 time: 0.3692 data_time: 0.0151 memory: 8039 grad_norm: 1.2010 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0682 loss: 3.0682 2022/08/20 06:48:05 - mmengine - INFO - Epoch(train) [48][200/940] lr: 3.6764e-01 eta: 20:53:23 time: 0.4128 data_time: 0.0155 memory: 8039 grad_norm: 1.2092 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.2891 loss: 3.2891 2022/08/20 06:48:43 - mmengine - INFO - Epoch(train) [48][300/940] lr: 3.6764e-01 eta: 20:52:39 time: 0.3675 data_time: 0.0151 memory: 8039 grad_norm: 1.1974 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1260 loss: 3.1260 2022/08/20 06:49:20 - mmengine - INFO - Epoch(train) [48][400/940] lr: 3.6764e-01 eta: 20:51:57 time: 0.3722 data_time: 0.0158 memory: 8039 grad_norm: 1.1895 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.1598 loss: 3.1598 2022/08/20 06:49:57 - mmengine - INFO - Epoch(train) [48][500/940] lr: 3.6764e-01 eta: 20:51:13 time: 0.3663 data_time: 0.0152 memory: 8039 grad_norm: 1.1986 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3315 loss: 3.3315 2022/08/20 06:50:35 - mmengine - INFO - Epoch(train) [48][600/940] lr: 3.6764e-01 eta: 20:50:33 time: 0.3767 data_time: 0.0155 memory: 8039 grad_norm: 1.2183 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 3.0453 loss: 3.0453 2022/08/20 06:51:12 - mmengine - INFO - Epoch(train) [48][700/940] lr: 3.6764e-01 eta: 20:49:49 time: 0.3733 data_time: 0.0160 memory: 8039 grad_norm: 1.2149 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9575 loss: 2.9575 2022/08/20 06:51:49 - mmengine - INFO - Epoch(train) [48][800/940] lr: 3.6764e-01 eta: 20:49:07 time: 0.3708 data_time: 0.0166 memory: 8039 grad_norm: 1.1971 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.2575 loss: 3.2575 2022/08/20 06:51:57 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 06:52:27 - mmengine - INFO - Epoch(train) [48][900/940] lr: 3.6764e-01 eta: 20:48:25 time: 0.3641 data_time: 0.0164 memory: 8039 grad_norm: 1.1939 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.0282 loss: 3.0282 2022/08/20 06:52:42 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 06:52:42 - mmengine - INFO - Epoch(train) [48][940/940] lr: 3.6764e-01 eta: 20:48:08 time: 0.3822 data_time: 0.0175 memory: 8039 grad_norm: 1.2307 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0974 loss: 3.0974 2022/08/20 06:52:42 - mmengine - INFO - Saving checkpoint at 48 epochs 2022/08/20 06:53:25 - mmengine - INFO - Epoch(train) [49][100/940] lr: 3.6629e-01 eta: 20:47:33 time: 0.3887 data_time: 0.0145 memory: 8039 grad_norm: 1.1822 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9431 loss: 2.9431 2022/08/20 06:54:03 - mmengine - INFO - Epoch(train) [49][200/940] lr: 3.6629e-01 eta: 20:46:50 time: 0.3639 data_time: 0.0163 memory: 8039 grad_norm: 1.2125 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0846 loss: 3.0846 2022/08/20 06:54:40 - mmengine - INFO - Epoch(train) [49][300/940] lr: 3.6629e-01 eta: 20:46:09 time: 0.3690 data_time: 0.0158 memory: 8039 grad_norm: 1.1798 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2694 loss: 3.2694 2022/08/20 06:55:20 - mmengine - INFO - Epoch(train) [49][400/940] lr: 3.6629e-01 eta: 20:45:35 time: 0.3664 data_time: 0.0158 memory: 8039 grad_norm: 1.1917 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0337 loss: 3.0337 2022/08/20 06:55:57 - mmengine - INFO - Epoch(train) [49][500/940] lr: 3.6629e-01 eta: 20:44:53 time: 0.3686 data_time: 0.0162 memory: 8039 grad_norm: 1.2017 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3531 loss: 3.3531 2022/08/20 06:56:35 - mmengine - INFO - Epoch(train) [49][600/940] lr: 3.6629e-01 eta: 20:44:11 time: 0.3871 data_time: 0.0159 memory: 8039 grad_norm: 1.2044 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0788 loss: 3.0788 2022/08/20 06:57:12 - mmengine - INFO - Epoch(train) [49][700/940] lr: 3.6629e-01 eta: 20:43:30 time: 0.3935 data_time: 0.0161 memory: 8039 grad_norm: 1.1876 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.0981 loss: 3.0981 2022/08/20 06:57:50 - mmengine - INFO - Epoch(train) [49][800/940] lr: 3.6629e-01 eta: 20:42:51 time: 0.3811 data_time: 0.0163 memory: 8039 grad_norm: 1.1920 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.3016 loss: 3.3016 2022/08/20 06:58:20 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 06:58:27 - mmengine - INFO - Epoch(train) [49][900/940] lr: 3.6629e-01 eta: 20:42:07 time: 0.3697 data_time: 0.0154 memory: 8039 grad_norm: 1.1873 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2754 loss: 3.2754 2022/08/20 06:58:42 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 06:58:42 - mmengine - INFO - Epoch(train) [49][940/940] lr: 3.6629e-01 eta: 20:41:50 time: 0.3590 data_time: 0.0154 memory: 8039 grad_norm: 1.2344 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.2260 loss: 3.2260 2022/08/20 06:59:22 - mmengine - INFO - Epoch(train) [50][100/940] lr: 3.6492e-01 eta: 20:41:17 time: 0.3905 data_time: 0.0166 memory: 8039 grad_norm: 1.1974 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2457 loss: 3.2457 2022/08/20 07:00:00 - mmengine - INFO - Epoch(train) [50][200/940] lr: 3.6492e-01 eta: 20:40:37 time: 0.3839 data_time: 0.0151 memory: 8039 grad_norm: 1.1761 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0844 loss: 3.0844 2022/08/20 07:00:37 - mmengine - INFO - Epoch(train) [50][300/940] lr: 3.6492e-01 eta: 20:39:55 time: 0.3702 data_time: 0.0149 memory: 8039 grad_norm: 1.2234 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2451 loss: 3.2451 2022/08/20 07:01:15 - mmengine - INFO - Epoch(train) [50][400/940] lr: 3.6492e-01 eta: 20:39:15 time: 0.3875 data_time: 0.0160 memory: 8039 grad_norm: 1.2239 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.9315 loss: 2.9315 2022/08/20 07:01:53 - mmengine - INFO - Epoch(train) [50][500/940] lr: 3.6492e-01 eta: 20:38:36 time: 0.4021 data_time: 0.0157 memory: 8039 grad_norm: 1.2262 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2175 loss: 3.2175 2022/08/20 07:02:31 - mmengine - INFO - Epoch(train) [50][600/940] lr: 3.6492e-01 eta: 20:37:54 time: 0.3858 data_time: 0.0154 memory: 8039 grad_norm: 1.2065 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1211 loss: 3.1211 2022/08/20 07:03:08 - mmengine - INFO - Epoch(train) [50][700/940] lr: 3.6492e-01 eta: 20:37:12 time: 0.3654 data_time: 0.0155 memory: 8039 grad_norm: 1.1886 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0324 loss: 3.0324 2022/08/20 07:03:46 - mmengine - INFO - Epoch(train) [50][800/940] lr: 3.6492e-01 eta: 20:36:30 time: 0.3726 data_time: 0.0156 memory: 8039 grad_norm: 1.2171 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2022 loss: 3.2022 2022/08/20 07:04:23 - mmengine - INFO - Epoch(train) [50][900/940] lr: 3.6492e-01 eta: 20:35:50 time: 0.3870 data_time: 0.0159 memory: 8039 grad_norm: 1.2167 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.3610 loss: 3.3610 2022/08/20 07:04:38 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 07:04:38 - mmengine - INFO - Epoch(train) [50][940/940] lr: 3.6492e-01 eta: 20:35:33 time: 0.3653 data_time: 0.0138 memory: 8039 grad_norm: 1.2139 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.0157 loss: 3.0157 2022/08/20 07:04:58 - mmengine - INFO - Epoch(val) [50][78/78] acc/top1: 0.3254 acc/top5: 0.6000 acc/mean1: 0.3253 2022/08/20 07:05:38 - mmengine - INFO - Epoch(train) [51][100/940] lr: 3.6352e-01 eta: 20:35:01 time: 0.3733 data_time: 0.0148 memory: 8039 grad_norm: 1.1905 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1906 loss: 3.1906 2022/08/20 07:06:16 - mmengine - INFO - Epoch(train) [51][200/940] lr: 3.6352e-01 eta: 20:34:22 time: 0.4034 data_time: 0.0159 memory: 8039 grad_norm: 1.2163 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2862 loss: 3.2862 2022/08/20 07:06:54 - mmengine - INFO - Epoch(train) [51][300/940] lr: 3.6352e-01 eta: 20:33:41 time: 0.3978 data_time: 0.0149 memory: 8039 grad_norm: 1.1812 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0182 loss: 3.0182 2022/08/20 07:07:31 - mmengine - INFO - Epoch(train) [51][400/940] lr: 3.6352e-01 eta: 20:33:00 time: 0.3828 data_time: 0.0153 memory: 8039 grad_norm: 1.1789 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9116 loss: 2.9116 2022/08/20 07:08:09 - mmengine - INFO - Epoch(train) [51][500/940] lr: 3.6352e-01 eta: 20:32:18 time: 0.3683 data_time: 0.0147 memory: 8039 grad_norm: 1.2061 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1148 loss: 3.1148 2022/08/20 07:08:47 - mmengine - INFO - Epoch(train) [51][600/940] lr: 3.6352e-01 eta: 20:31:39 time: 0.3631 data_time: 0.0161 memory: 8039 grad_norm: 1.1997 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9044 loss: 2.9044 2022/08/20 07:09:25 - mmengine - INFO - Epoch(train) [51][700/940] lr: 3.6352e-01 eta: 20:30:59 time: 0.3712 data_time: 0.0163 memory: 8039 grad_norm: 1.2104 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9572 loss: 2.9572 2022/08/20 07:10:03 - mmengine - INFO - Epoch(train) [51][800/940] lr: 3.6352e-01 eta: 20:30:19 time: 0.3770 data_time: 0.0169 memory: 8039 grad_norm: 1.2156 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.1729 loss: 3.1729 2022/08/20 07:10:41 - mmengine - INFO - Epoch(train) [51][900/940] lr: 3.6352e-01 eta: 20:29:39 time: 0.3754 data_time: 0.0154 memory: 8039 grad_norm: 1.1976 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0192 loss: 3.0192 2022/08/20 07:10:56 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 07:10:56 - mmengine - INFO - Epoch(train) [51][940/940] lr: 3.6352e-01 eta: 20:29:22 time: 0.3741 data_time: 0.0151 memory: 8039 grad_norm: 1.2536 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.4171 loss: 3.4171 2022/08/20 07:11:20 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 07:11:35 - mmengine - INFO - Epoch(train) [52][100/940] lr: 3.6209e-01 eta: 20:28:50 time: 0.3851 data_time: 0.0146 memory: 8039 grad_norm: 1.2066 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.1796 loss: 3.1796 2022/08/20 07:12:13 - mmengine - INFO - Epoch(train) [52][200/940] lr: 3.6209e-01 eta: 20:28:08 time: 0.3915 data_time: 0.0157 memory: 8039 grad_norm: 1.2182 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0945 loss: 3.0945 2022/08/20 07:12:50 - mmengine - INFO - Epoch(train) [52][300/940] lr: 3.6209e-01 eta: 20:27:26 time: 0.3676 data_time: 0.0153 memory: 8039 grad_norm: 1.2176 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.3187 loss: 3.3187 2022/08/20 07:13:28 - mmengine - INFO - Epoch(train) [52][400/940] lr: 3.6209e-01 eta: 20:26:44 time: 0.3738 data_time: 0.0167 memory: 8039 grad_norm: 1.2265 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9588 loss: 2.9588 2022/08/20 07:14:05 - mmengine - INFO - Epoch(train) [52][500/940] lr: 3.6209e-01 eta: 20:26:03 time: 0.3690 data_time: 0.0158 memory: 8039 grad_norm: 1.2246 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.1623 loss: 3.1623 2022/08/20 07:14:43 - mmengine - INFO - Epoch(train) [52][600/940] lr: 3.6209e-01 eta: 20:25:22 time: 0.3690 data_time: 0.0157 memory: 8039 grad_norm: 1.1892 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2150 loss: 3.2150 2022/08/20 07:15:21 - mmengine - INFO - Epoch(train) [52][700/940] lr: 3.6209e-01 eta: 20:24:42 time: 0.3639 data_time: 0.0154 memory: 8039 grad_norm: 1.2167 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2539 loss: 3.2539 2022/08/20 07:15:58 - mmengine - INFO - Epoch(train) [52][800/940] lr: 3.6209e-01 eta: 20:24:01 time: 0.3647 data_time: 0.0158 memory: 8039 grad_norm: 1.1817 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8724 loss: 2.8724 2022/08/20 07:16:36 - mmengine - INFO - Epoch(train) [52][900/940] lr: 3.6209e-01 eta: 20:23:19 time: 0.3791 data_time: 0.0151 memory: 8039 grad_norm: 1.1833 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9486 loss: 2.9486 2022/08/20 07:16:50 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 07:16:50 - mmengine - INFO - Epoch(train) [52][940/940] lr: 3.6209e-01 eta: 20:23:01 time: 0.3514 data_time: 0.0148 memory: 8039 grad_norm: 1.2681 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.3827 loss: 3.3827 2022/08/20 07:16:50 - mmengine - INFO - Saving checkpoint at 52 epochs 2022/08/20 07:17:34 - mmengine - INFO - Epoch(train) [53][100/940] lr: 3.6064e-01 eta: 20:22:25 time: 0.3901 data_time: 0.0151 memory: 8039 grad_norm: 1.1966 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2012 loss: 3.2012 2022/08/20 07:17:41 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 07:18:11 - mmengine - INFO - Epoch(train) [53][200/940] lr: 3.6064e-01 eta: 20:21:44 time: 0.3715 data_time: 0.0155 memory: 8039 grad_norm: 1.2152 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8960 loss: 2.8960 2022/08/20 07:18:48 - mmengine - INFO - Epoch(train) [53][300/940] lr: 3.6064e-01 eta: 20:21:02 time: 0.3674 data_time: 0.0154 memory: 8039 grad_norm: 1.2054 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.8611 loss: 2.8611 2022/08/20 07:19:26 - mmengine - INFO - Epoch(train) [53][400/940] lr: 3.6064e-01 eta: 20:20:20 time: 0.3678 data_time: 0.0170 memory: 8039 grad_norm: 1.2075 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2439 loss: 3.2439 2022/08/20 07:20:03 - mmengine - INFO - Epoch(train) [53][500/940] lr: 3.6064e-01 eta: 20:19:39 time: 0.3722 data_time: 0.0152 memory: 8039 grad_norm: 1.2134 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2000 loss: 3.2000 2022/08/20 07:20:41 - mmengine - INFO - Epoch(train) [53][600/940] lr: 3.6064e-01 eta: 20:19:00 time: 0.3658 data_time: 0.0150 memory: 8039 grad_norm: 1.2123 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9217 loss: 2.9217 2022/08/20 07:21:19 - mmengine - INFO - Epoch(train) [53][700/940] lr: 3.6064e-01 eta: 20:18:19 time: 0.3830 data_time: 0.0157 memory: 8039 grad_norm: 1.1923 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.9767 loss: 2.9767 2022/08/20 07:21:57 - mmengine - INFO - Epoch(train) [53][800/940] lr: 3.6064e-01 eta: 20:17:38 time: 0.3926 data_time: 0.0162 memory: 8039 grad_norm: 1.2235 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2238 loss: 3.2238 2022/08/20 07:22:35 - mmengine - INFO - Epoch(train) [53][900/940] lr: 3.6064e-01 eta: 20:17:01 time: 0.4004 data_time: 0.0155 memory: 8039 grad_norm: 1.1994 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.2325 loss: 3.2325 2022/08/20 07:22:50 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 07:22:50 - mmengine - INFO - Epoch(train) [53][940/940] lr: 3.6064e-01 eta: 20:16:43 time: 0.3534 data_time: 0.0137 memory: 8039 grad_norm: 1.2399 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.1731 loss: 3.1731 2022/08/20 07:23:29 - mmengine - INFO - Epoch(train) [54][100/940] lr: 3.5917e-01 eta: 20:16:10 time: 0.3688 data_time: 0.0157 memory: 8039 grad_norm: 1.2228 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.1269 loss: 3.1269 2022/08/20 07:23:59 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 07:24:07 - mmengine - INFO - Epoch(train) [54][200/940] lr: 3.5917e-01 eta: 20:15:28 time: 0.3805 data_time: 0.0150 memory: 8039 grad_norm: 1.1812 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0190 loss: 3.0190 2022/08/20 07:24:44 - mmengine - INFO - Epoch(train) [54][300/940] lr: 3.5917e-01 eta: 20:14:47 time: 0.3713 data_time: 0.0143 memory: 8039 grad_norm: 1.1928 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2224 loss: 3.2224 2022/08/20 07:25:21 - mmengine - INFO - Epoch(train) [54][400/940] lr: 3.5917e-01 eta: 20:14:04 time: 0.3685 data_time: 0.0148 memory: 8039 grad_norm: 1.1950 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0288 loss: 3.0288 2022/08/20 07:25:59 - mmengine - INFO - Epoch(train) [54][500/940] lr: 3.5917e-01 eta: 20:13:25 time: 0.4047 data_time: 0.0153 memory: 8039 grad_norm: 1.1929 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.5495 loss: 3.5495 2022/08/20 07:26:37 - mmengine - INFO - Epoch(train) [54][600/940] lr: 3.5917e-01 eta: 20:12:43 time: 0.3691 data_time: 0.0150 memory: 8039 grad_norm: 1.2728 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 3.1579 loss: 3.1579 2022/08/20 07:27:14 - mmengine - INFO - Epoch(train) [54][700/940] lr: 3.5917e-01 eta: 20:12:02 time: 0.3717 data_time: 0.0154 memory: 8039 grad_norm: 1.2144 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0073 loss: 3.0073 2022/08/20 07:27:52 - mmengine - INFO - Epoch(train) [54][800/940] lr: 3.5917e-01 eta: 20:11:21 time: 0.3651 data_time: 0.0162 memory: 8039 grad_norm: 1.2169 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.2008 loss: 3.2008 2022/08/20 07:28:30 - mmengine - INFO - Epoch(train) [54][900/940] lr: 3.5917e-01 eta: 20:10:41 time: 0.3984 data_time: 0.0175 memory: 8039 grad_norm: 1.2141 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1999 loss: 3.1999 2022/08/20 07:28:45 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 07:28:45 - mmengine - INFO - Epoch(train) [54][940/940] lr: 3.5917e-01 eta: 20:10:25 time: 0.3867 data_time: 0.0144 memory: 8039 grad_norm: 1.2397 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.1064 loss: 3.1064 2022/08/20 07:29:25 - mmengine - INFO - Epoch(train) [55][100/940] lr: 3.5767e-01 eta: 20:09:56 time: 0.4194 data_time: 0.0161 memory: 8039 grad_norm: 1.2039 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0119 loss: 3.0119 2022/08/20 07:30:03 - mmengine - INFO - Epoch(train) [55][200/940] lr: 3.5767e-01 eta: 20:09:16 time: 0.3987 data_time: 0.0164 memory: 8039 grad_norm: 1.1872 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9673 loss: 2.9673 2022/08/20 07:30:18 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 07:30:41 - mmengine - INFO - Epoch(train) [55][300/940] lr: 3.5767e-01 eta: 20:08:35 time: 0.3760 data_time: 0.0152 memory: 8039 grad_norm: 1.2200 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9061 loss: 2.9061 2022/08/20 07:31:18 - mmengine - INFO - Epoch(train) [55][400/940] lr: 3.5767e-01 eta: 20:07:54 time: 0.3921 data_time: 0.0163 memory: 8039 grad_norm: 1.2226 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.2821 loss: 3.2821 2022/08/20 07:31:56 - mmengine - INFO - Epoch(train) [55][500/940] lr: 3.5767e-01 eta: 20:07:13 time: 0.3747 data_time: 0.0169 memory: 8039 grad_norm: 1.2102 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9422 loss: 2.9422 2022/08/20 07:32:34 - mmengine - INFO - Epoch(train) [55][600/940] lr: 3.5767e-01 eta: 20:06:34 time: 0.3829 data_time: 0.0165 memory: 8039 grad_norm: 1.2222 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3151 loss: 3.3151 2022/08/20 07:33:12 - mmengine - INFO - Epoch(train) [55][700/940] lr: 3.5767e-01 eta: 20:05:54 time: 0.3649 data_time: 0.0157 memory: 8039 grad_norm: 1.2029 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1042 loss: 3.1042 2022/08/20 07:33:50 - mmengine - INFO - Epoch(train) [55][800/940] lr: 3.5767e-01 eta: 20:05:15 time: 0.3971 data_time: 0.0151 memory: 8039 grad_norm: 1.2279 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9483 loss: 2.9483 2022/08/20 07:34:28 - mmengine - INFO - Epoch(train) [55][900/940] lr: 3.5767e-01 eta: 20:04:36 time: 0.3835 data_time: 0.0160 memory: 8039 grad_norm: 1.2201 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9414 loss: 2.9414 2022/08/20 07:34:42 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 07:34:42 - mmengine - INFO - Epoch(train) [55][940/940] lr: 3.5767e-01 eta: 20:04:18 time: 0.3575 data_time: 0.0145 memory: 8039 grad_norm: 1.2172 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.3211 loss: 3.3211 2022/08/20 07:35:03 - mmengine - INFO - Epoch(val) [55][78/78] acc/top1: 0.3452 acc/top5: 0.6204 acc/mean1: 0.3450 2022/08/20 07:35:42 - mmengine - INFO - Epoch(train) [56][100/940] lr: 3.5615e-01 eta: 20:03:43 time: 0.3676 data_time: 0.0153 memory: 8039 grad_norm: 1.2005 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9680 loss: 2.9680 2022/08/20 07:36:20 - mmengine - INFO - Epoch(train) [56][200/940] lr: 3.5615e-01 eta: 20:03:03 time: 0.3654 data_time: 0.0154 memory: 8039 grad_norm: 1.2098 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0191 loss: 3.0191 2022/08/20 07:36:58 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 07:36:58 - mmengine - INFO - Epoch(train) [56][300/940] lr: 3.5615e-01 eta: 20:02:22 time: 0.3892 data_time: 0.0150 memory: 8039 grad_norm: 1.2007 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.1803 loss: 3.1803 2022/08/20 07:37:36 - mmengine - INFO - Epoch(train) [56][400/940] lr: 3.5615e-01 eta: 20:01:43 time: 0.3976 data_time: 0.0154 memory: 8039 grad_norm: 1.2231 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2483 loss: 3.2483 2022/08/20 07:38:13 - mmengine - INFO - Epoch(train) [56][500/940] lr: 3.5615e-01 eta: 20:01:03 time: 0.3892 data_time: 0.0148 memory: 8039 grad_norm: 1.2303 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7980 loss: 2.7980 2022/08/20 07:38:51 - mmengine - INFO - Epoch(train) [56][600/940] lr: 3.5615e-01 eta: 20:00:21 time: 0.3655 data_time: 0.0158 memory: 8039 grad_norm: 1.2183 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8341 loss: 2.8341 2022/08/20 07:39:29 - mmengine - INFO - Epoch(train) [56][700/940] lr: 3.5615e-01 eta: 19:59:42 time: 0.3672 data_time: 0.0149 memory: 8039 grad_norm: 1.2238 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3170 loss: 3.3170 2022/08/20 07:40:06 - mmengine - INFO - Epoch(train) [56][800/940] lr: 3.5615e-01 eta: 19:59:01 time: 0.3684 data_time: 0.0148 memory: 8039 grad_norm: 1.2046 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.1152 loss: 3.1152 2022/08/20 07:40:44 - mmengine - INFO - Epoch(train) [56][900/940] lr: 3.5615e-01 eta: 19:58:20 time: 0.3681 data_time: 0.0150 memory: 8039 grad_norm: 1.2104 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 3.0090 loss: 3.0090 2022/08/20 07:40:58 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 07:40:58 - mmengine - INFO - Epoch(train) [56][940/940] lr: 3.5615e-01 eta: 19:58:02 time: 0.3635 data_time: 0.0158 memory: 8039 grad_norm: 1.2341 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.5039 loss: 3.5039 2022/08/20 07:40:58 - mmengine - INFO - Saving checkpoint at 56 epochs 2022/08/20 07:41:42 - mmengine - INFO - Epoch(train) [57][100/940] lr: 3.5460e-01 eta: 19:57:26 time: 0.3755 data_time: 0.0163 memory: 8039 grad_norm: 1.2200 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.2477 loss: 3.2477 2022/08/20 07:42:19 - mmengine - INFO - Epoch(train) [57][200/940] lr: 3.5460e-01 eta: 19:56:46 time: 0.3786 data_time: 0.0155 memory: 8039 grad_norm: 1.2197 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8076 loss: 2.8076 2022/08/20 07:42:57 - mmengine - INFO - Epoch(train) [57][300/940] lr: 3.5460e-01 eta: 19:56:05 time: 0.3855 data_time: 0.0163 memory: 8039 grad_norm: 1.2208 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9441 loss: 2.9441 2022/08/20 07:43:19 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 07:43:34 - mmengine - INFO - Epoch(train) [57][400/940] lr: 3.5460e-01 eta: 19:55:25 time: 0.3711 data_time: 0.0159 memory: 8039 grad_norm: 1.2203 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0515 loss: 3.0515 2022/08/20 07:44:12 - mmengine - INFO - Epoch(train) [57][500/940] lr: 3.5460e-01 eta: 19:54:45 time: 0.3672 data_time: 0.0147 memory: 8039 grad_norm: 1.2342 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9039 loss: 2.9039 2022/08/20 07:44:50 - mmengine - INFO - Epoch(train) [57][600/940] lr: 3.5460e-01 eta: 19:54:06 time: 0.3967 data_time: 0.0155 memory: 8039 grad_norm: 1.2400 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9855 loss: 2.9855 2022/08/20 07:45:28 - mmengine - INFO - Epoch(train) [57][700/940] lr: 3.5460e-01 eta: 19:53:26 time: 0.3861 data_time: 0.0154 memory: 8039 grad_norm: 1.2041 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0881 loss: 3.0881 2022/08/20 07:46:06 - mmengine - INFO - Epoch(train) [57][800/940] lr: 3.5460e-01 eta: 19:52:47 time: 0.3972 data_time: 0.0156 memory: 8039 grad_norm: 1.1988 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1688 loss: 3.1688 2022/08/20 07:46:44 - mmengine - INFO - Epoch(train) [57][900/940] lr: 3.5460e-01 eta: 19:52:07 time: 0.3691 data_time: 0.0148 memory: 8039 grad_norm: 1.2109 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6630 loss: 2.6630 2022/08/20 07:46:59 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 07:46:59 - mmengine - INFO - Epoch(train) [57][940/940] lr: 3.5460e-01 eta: 19:51:51 time: 0.3787 data_time: 0.0161 memory: 8039 grad_norm: 1.2470 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.4110 loss: 3.4110 2022/08/20 07:47:39 - mmengine - INFO - Epoch(train) [58][100/940] lr: 3.5303e-01 eta: 19:51:19 time: 0.3673 data_time: 0.0164 memory: 8039 grad_norm: 1.2240 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2385 loss: 3.2385 2022/08/20 07:48:17 - mmengine - INFO - Epoch(train) [58][200/940] lr: 3.5303e-01 eta: 19:50:39 time: 0.3807 data_time: 0.0159 memory: 8039 grad_norm: 1.2315 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.9917 loss: 2.9917 2022/08/20 07:48:54 - mmengine - INFO - Epoch(train) [58][300/940] lr: 3.5303e-01 eta: 19:49:57 time: 0.3677 data_time: 0.0145 memory: 8039 grad_norm: 1.2183 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.5070 loss: 3.5070 2022/08/20 07:49:31 - mmengine - INFO - Epoch(train) [58][400/940] lr: 3.5303e-01 eta: 19:49:15 time: 0.3765 data_time: 0.0168 memory: 8039 grad_norm: 1.2085 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9479 loss: 2.9479 2022/08/20 07:49:39 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 07:50:09 - mmengine - INFO - Epoch(train) [58][500/940] lr: 3.5303e-01 eta: 19:48:35 time: 0.3770 data_time: 0.0152 memory: 8039 grad_norm: 1.2243 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1511 loss: 3.1511 2022/08/20 07:50:46 - mmengine - INFO - Epoch(train) [58][600/940] lr: 3.5303e-01 eta: 19:47:54 time: 0.3713 data_time: 0.0155 memory: 8039 grad_norm: 1.2197 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4365 loss: 3.4365 2022/08/20 07:51:24 - mmengine - INFO - Epoch(train) [58][700/940] lr: 3.5303e-01 eta: 19:47:12 time: 0.3675 data_time: 0.0154 memory: 8039 grad_norm: 1.2158 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2612 loss: 3.2612 2022/08/20 07:52:01 - mmengine - INFO - Epoch(train) [58][800/940] lr: 3.5303e-01 eta: 19:46:32 time: 0.3702 data_time: 0.0147 memory: 8039 grad_norm: 1.2142 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1809 loss: 3.1809 2022/08/20 07:52:39 - mmengine - INFO - Epoch(train) [58][900/940] lr: 3.5303e-01 eta: 19:45:52 time: 0.3677 data_time: 0.0167 memory: 8039 grad_norm: 1.2229 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0532 loss: 3.0532 2022/08/20 07:52:54 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 07:52:54 - mmengine - INFO - Epoch(train) [58][940/940] lr: 3.5303e-01 eta: 19:45:35 time: 0.3499 data_time: 0.0139 memory: 8039 grad_norm: 1.2433 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 3.0921 loss: 3.0921 2022/08/20 07:53:34 - mmengine - INFO - Epoch(train) [59][100/940] lr: 3.5144e-01 eta: 19:45:02 time: 0.3674 data_time: 0.0159 memory: 8039 grad_norm: 1.2351 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 3.0005 loss: 3.0005 2022/08/20 07:54:11 - mmengine - INFO - Epoch(train) [59][200/940] lr: 3.5144e-01 eta: 19:44:21 time: 0.3857 data_time: 0.0151 memory: 8039 grad_norm: 1.2188 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9640 loss: 2.9640 2022/08/20 07:54:49 - mmengine - INFO - Epoch(train) [59][300/940] lr: 3.5144e-01 eta: 19:43:42 time: 0.3862 data_time: 0.0162 memory: 8039 grad_norm: 1.1991 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0418 loss: 3.0418 2022/08/20 07:55:27 - mmengine - INFO - Epoch(train) [59][400/940] lr: 3.5144e-01 eta: 19:43:02 time: 0.3933 data_time: 0.0159 memory: 8039 grad_norm: 1.2221 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1246 loss: 3.1246 2022/08/20 07:55:57 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 07:56:04 - mmengine - INFO - Epoch(train) [59][500/940] lr: 3.5144e-01 eta: 19:42:20 time: 0.3682 data_time: 0.0152 memory: 8039 grad_norm: 1.2565 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8056 loss: 2.8056 2022/08/20 07:56:42 - mmengine - INFO - Epoch(train) [59][600/940] lr: 3.5144e-01 eta: 19:41:41 time: 0.3669 data_time: 0.0153 memory: 8039 grad_norm: 1.2095 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7860 loss: 2.7860 2022/08/20 07:57:20 - mmengine - INFO - Epoch(train) [59][700/940] lr: 3.5144e-01 eta: 19:41:02 time: 0.3725 data_time: 0.0152 memory: 8039 grad_norm: 1.2290 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3955 loss: 3.3955 2022/08/20 07:57:58 - mmengine - INFO - Epoch(train) [59][800/940] lr: 3.5144e-01 eta: 19:40:23 time: 0.3750 data_time: 0.0158 memory: 8039 grad_norm: 1.2333 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.3697 loss: 3.3697 2022/08/20 07:58:35 - mmengine - INFO - Epoch(train) [59][900/940] lr: 3.5144e-01 eta: 19:39:43 time: 0.3684 data_time: 0.0148 memory: 8039 grad_norm: 1.2106 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1761 loss: 3.1761 2022/08/20 07:58:50 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 07:58:50 - mmengine - INFO - Epoch(train) [59][940/940] lr: 3.5144e-01 eta: 19:39:26 time: 0.3697 data_time: 0.0137 memory: 8039 grad_norm: 1.2721 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.8995 loss: 2.8995 2022/08/20 07:59:30 - mmengine - INFO - Epoch(train) [60][100/940] lr: 3.4983e-01 eta: 19:38:53 time: 0.3950 data_time: 0.0148 memory: 8039 grad_norm: 1.2430 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1644 loss: 3.1644 2022/08/20 08:00:09 - mmengine - INFO - Epoch(train) [60][200/940] lr: 3.4983e-01 eta: 19:38:16 time: 0.4299 data_time: 0.0151 memory: 8039 grad_norm: 1.2381 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.5059 loss: 3.5059 2022/08/20 08:00:46 - mmengine - INFO - Epoch(train) [60][300/940] lr: 3.4983e-01 eta: 19:37:36 time: 0.3894 data_time: 0.0155 memory: 8039 grad_norm: 1.2299 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1037 loss: 3.1037 2022/08/20 08:01:24 - mmengine - INFO - Epoch(train) [60][400/940] lr: 3.4983e-01 eta: 19:36:54 time: 0.3657 data_time: 0.0154 memory: 8039 grad_norm: 1.2237 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0875 loss: 3.0875 2022/08/20 08:02:01 - mmengine - INFO - Epoch(train) [60][500/940] lr: 3.4983e-01 eta: 19:36:14 time: 0.3704 data_time: 0.0155 memory: 8039 grad_norm: 1.2293 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9070 loss: 2.9070 2022/08/20 08:02:16 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 08:02:39 - mmengine - INFO - Epoch(train) [60][600/940] lr: 3.4983e-01 eta: 19:35:33 time: 0.3662 data_time: 0.0153 memory: 8039 grad_norm: 1.2343 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8659 loss: 2.8659 2022/08/20 08:03:16 - mmengine - INFO - Epoch(train) [60][700/940] lr: 3.4983e-01 eta: 19:34:53 time: 0.3690 data_time: 0.0153 memory: 8039 grad_norm: 1.1731 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8619 loss: 2.8619 2022/08/20 08:03:55 - mmengine - INFO - Epoch(train) [60][800/940] lr: 3.4983e-01 eta: 19:34:16 time: 0.3687 data_time: 0.0140 memory: 8039 grad_norm: 1.2182 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0338 loss: 3.0338 2022/08/20 08:04:32 - mmengine - INFO - Epoch(train) [60][900/940] lr: 3.4983e-01 eta: 19:33:35 time: 0.3806 data_time: 0.0154 memory: 8039 grad_norm: 1.2159 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1464 loss: 3.1464 2022/08/20 08:04:47 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 08:04:47 - mmengine - INFO - Epoch(train) [60][940/940] lr: 3.4983e-01 eta: 19:33:19 time: 0.3772 data_time: 0.0156 memory: 8039 grad_norm: 1.2345 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.0283 loss: 3.0283 2022/08/20 08:04:47 - mmengine - INFO - Saving checkpoint at 60 epochs 2022/08/20 08:05:09 - mmengine - INFO - Epoch(val) [60][78/78] acc/top1: 0.3444 acc/top5: 0.6197 acc/mean1: 0.3444 2022/08/20 08:05:50 - mmengine - INFO - Epoch(train) [61][100/940] lr: 3.4819e-01 eta: 19:32:47 time: 0.3828 data_time: 0.0160 memory: 8039 grad_norm: 1.2234 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0713 loss: 3.0713 2022/08/20 08:06:28 - mmengine - INFO - Epoch(train) [61][200/940] lr: 3.4819e-01 eta: 19:32:08 time: 0.3879 data_time: 0.0160 memory: 8039 grad_norm: 1.2399 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2293 loss: 3.2293 2022/08/20 08:07:05 - mmengine - INFO - Epoch(train) [61][300/940] lr: 3.4819e-01 eta: 19:31:28 time: 0.3830 data_time: 0.0152 memory: 8039 grad_norm: 1.2490 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0338 loss: 3.0338 2022/08/20 08:07:43 - mmengine - INFO - Epoch(train) [61][400/940] lr: 3.4819e-01 eta: 19:30:47 time: 0.3717 data_time: 0.0151 memory: 8039 grad_norm: 1.2318 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.9854 loss: 2.9854 2022/08/20 08:08:20 - mmengine - INFO - Epoch(train) [61][500/940] lr: 3.4819e-01 eta: 19:30:05 time: 0.3655 data_time: 0.0148 memory: 8039 grad_norm: 1.2152 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0627 loss: 3.0627 2022/08/20 08:08:57 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 08:08:57 - mmengine - INFO - Epoch(train) [61][600/940] lr: 3.4819e-01 eta: 19:29:23 time: 0.3669 data_time: 0.0160 memory: 8039 grad_norm: 1.2217 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2372 loss: 3.2372 2022/08/20 08:09:34 - mmengine - INFO - Epoch(train) [61][700/940] lr: 3.4819e-01 eta: 19:28:41 time: 0.3676 data_time: 0.0159 memory: 8039 grad_norm: 1.2103 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2709 loss: 3.2709 2022/08/20 08:10:11 - mmengine - INFO - Epoch(train) [61][800/940] lr: 3.4819e-01 eta: 19:27:58 time: 0.3694 data_time: 0.0166 memory: 8039 grad_norm: 1.2374 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1503 loss: 3.1503 2022/08/20 08:10:48 - mmengine - INFO - Epoch(train) [61][900/940] lr: 3.4819e-01 eta: 19:27:16 time: 0.3719 data_time: 0.0156 memory: 8039 grad_norm: 1.2357 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0395 loss: 3.0395 2022/08/20 08:11:02 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 08:11:02 - mmengine - INFO - Epoch(train) [61][940/940] lr: 3.4819e-01 eta: 19:26:59 time: 0.3713 data_time: 0.0136 memory: 8039 grad_norm: 1.2360 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.1169 loss: 3.1169 2022/08/20 08:11:42 - mmengine - INFO - Epoch(train) [62][100/940] lr: 3.4653e-01 eta: 19:26:24 time: 0.3656 data_time: 0.0156 memory: 8039 grad_norm: 1.2550 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9236 loss: 2.9236 2022/08/20 08:12:20 - mmengine - INFO - Epoch(train) [62][200/940] lr: 3.4653e-01 eta: 19:25:45 time: 0.3765 data_time: 0.0149 memory: 8039 grad_norm: 1.2287 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3342 loss: 3.3342 2022/08/20 08:12:57 - mmengine - INFO - Epoch(train) [62][300/940] lr: 3.4653e-01 eta: 19:25:04 time: 0.3767 data_time: 0.0155 memory: 8039 grad_norm: 1.2132 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1588 loss: 3.1588 2022/08/20 08:13:35 - mmengine - INFO - Epoch(train) [62][400/940] lr: 3.4653e-01 eta: 19:24:24 time: 0.3698 data_time: 0.0152 memory: 8039 grad_norm: 1.2194 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0318 loss: 3.0318 2022/08/20 08:14:12 - mmengine - INFO - Epoch(train) [62][500/940] lr: 3.4653e-01 eta: 19:23:43 time: 0.3672 data_time: 0.0169 memory: 8039 grad_norm: 1.2309 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9480 loss: 2.9480 2022/08/20 08:14:49 - mmengine - INFO - Epoch(train) [62][600/940] lr: 3.4653e-01 eta: 19:23:02 time: 0.3772 data_time: 0.0152 memory: 8039 grad_norm: 1.2081 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1747 loss: 3.1747 2022/08/20 08:15:12 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 08:15:27 - mmengine - INFO - Epoch(train) [62][700/940] lr: 3.4653e-01 eta: 19:22:21 time: 0.3675 data_time: 0.0155 memory: 8039 grad_norm: 1.2334 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1556 loss: 3.1556 2022/08/20 08:16:04 - mmengine - INFO - Epoch(train) [62][800/940] lr: 3.4653e-01 eta: 19:21:40 time: 0.3789 data_time: 0.0169 memory: 8039 grad_norm: 1.2050 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8312 loss: 2.8312 2022/08/20 08:16:42 - mmengine - INFO - Epoch(train) [62][900/940] lr: 3.4653e-01 eta: 19:21:00 time: 0.3902 data_time: 0.0153 memory: 8039 grad_norm: 1.2230 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2425 loss: 3.2425 2022/08/20 08:16:56 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 08:16:56 - mmengine - INFO - Epoch(train) [62][940/940] lr: 3.4653e-01 eta: 19:20:43 time: 0.3599 data_time: 0.0137 memory: 8039 grad_norm: 1.2688 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0061 loss: 3.0061 2022/08/20 08:17:36 - mmengine - INFO - Epoch(train) [63][100/940] lr: 3.4485e-01 eta: 19:20:08 time: 0.3673 data_time: 0.0150 memory: 8039 grad_norm: 1.2012 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.2394 loss: 3.2394 2022/08/20 08:18:13 - mmengine - INFO - Epoch(train) [63][200/940] lr: 3.4485e-01 eta: 19:19:28 time: 0.3705 data_time: 0.0160 memory: 8039 grad_norm: 1.2468 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1122 loss: 3.1122 2022/08/20 08:18:51 - mmengine - INFO - Epoch(train) [63][300/940] lr: 3.4485e-01 eta: 19:18:48 time: 0.3654 data_time: 0.0175 memory: 8039 grad_norm: 1.2532 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.1341 loss: 3.1341 2022/08/20 08:19:28 - mmengine - INFO - Epoch(train) [63][400/940] lr: 3.4485e-01 eta: 19:18:06 time: 0.3713 data_time: 0.0176 memory: 8039 grad_norm: 1.2550 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0734 loss: 3.0734 2022/08/20 08:20:06 - mmengine - INFO - Epoch(train) [63][500/940] lr: 3.4485e-01 eta: 19:17:27 time: 0.3661 data_time: 0.0152 memory: 8039 grad_norm: 1.2180 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1927 loss: 3.1927 2022/08/20 08:20:44 - mmengine - INFO - Epoch(train) [63][600/940] lr: 3.4485e-01 eta: 19:16:49 time: 0.4119 data_time: 0.0161 memory: 8039 grad_norm: 1.2480 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1123 loss: 3.1123 2022/08/20 08:21:22 - mmengine - INFO - Epoch(train) [63][700/940] lr: 3.4485e-01 eta: 19:16:09 time: 0.3873 data_time: 0.0150 memory: 8039 grad_norm: 1.2405 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9334 loss: 2.9334 2022/08/20 08:21:29 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 08:21:59 - mmengine - INFO - Epoch(train) [63][800/940] lr: 3.4485e-01 eta: 19:15:29 time: 0.3865 data_time: 0.0156 memory: 8039 grad_norm: 1.2160 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2682 loss: 3.2682 2022/08/20 08:22:37 - mmengine - INFO - Epoch(train) [63][900/940] lr: 3.4485e-01 eta: 19:14:50 time: 0.3792 data_time: 0.0147 memory: 8039 grad_norm: 1.2122 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8691 loss: 2.8691 2022/08/20 08:22:52 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 08:22:52 - mmengine - INFO - Epoch(train) [63][940/940] lr: 3.4485e-01 eta: 19:14:34 time: 0.3551 data_time: 0.0151 memory: 8039 grad_norm: 1.2441 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.2948 loss: 3.2948 2022/08/20 08:23:32 - mmengine - INFO - Epoch(train) [64][100/940] lr: 3.4315e-01 eta: 19:14:00 time: 0.3683 data_time: 0.0167 memory: 8039 grad_norm: 1.2571 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0632 loss: 3.0632 2022/08/20 08:24:09 - mmengine - INFO - Epoch(train) [64][200/940] lr: 3.4315e-01 eta: 19:13:19 time: 0.3700 data_time: 0.0149 memory: 8039 grad_norm: 1.2257 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0608 loss: 3.0608 2022/08/20 08:24:47 - mmengine - INFO - Epoch(train) [64][300/940] lr: 3.4315e-01 eta: 19:12:39 time: 0.3661 data_time: 0.0156 memory: 8039 grad_norm: 1.2376 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0054 loss: 3.0054 2022/08/20 08:25:25 - mmengine - INFO - Epoch(train) [64][400/940] lr: 3.4315e-01 eta: 19:12:01 time: 0.3990 data_time: 0.0159 memory: 8039 grad_norm: 1.2298 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0557 loss: 3.0557 2022/08/20 08:26:03 - mmengine - INFO - Epoch(train) [64][500/940] lr: 3.4315e-01 eta: 19:11:21 time: 0.3872 data_time: 0.0153 memory: 8039 grad_norm: 1.2480 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9872 loss: 2.9872 2022/08/20 08:26:41 - mmengine - INFO - Epoch(train) [64][600/940] lr: 3.4315e-01 eta: 19:10:42 time: 0.4004 data_time: 0.0151 memory: 8039 grad_norm: 1.2511 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.8673 loss: 2.8673 2022/08/20 08:27:18 - mmengine - INFO - Epoch(train) [64][700/940] lr: 3.4315e-01 eta: 19:10:02 time: 0.3847 data_time: 0.0156 memory: 8039 grad_norm: 1.2489 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9057 loss: 2.9057 2022/08/20 08:27:48 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 08:27:56 - mmengine - INFO - Epoch(train) [64][800/940] lr: 3.4315e-01 eta: 19:09:22 time: 0.3723 data_time: 0.0158 memory: 8039 grad_norm: 1.2464 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.1227 loss: 3.1227 2022/08/20 08:28:33 - mmengine - INFO - Epoch(train) [64][900/940] lr: 3.4315e-01 eta: 19:08:41 time: 0.3704 data_time: 0.0151 memory: 8039 grad_norm: 1.2438 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7905 loss: 2.7905 2022/08/20 08:28:48 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 08:28:48 - mmengine - INFO - Epoch(train) [64][940/940] lr: 3.4315e-01 eta: 19:08:24 time: 0.3595 data_time: 0.0139 memory: 8039 grad_norm: 1.2549 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 2.9964 loss: 2.9964 2022/08/20 08:28:48 - mmengine - INFO - Saving checkpoint at 64 epochs 2022/08/20 08:29:31 - mmengine - INFO - Epoch(train) [65][100/940] lr: 3.4142e-01 eta: 19:07:46 time: 0.3688 data_time: 0.0165 memory: 8039 grad_norm: 1.2557 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9097 loss: 2.9097 2022/08/20 08:30:08 - mmengine - INFO - Epoch(train) [65][200/940] lr: 3.4142e-01 eta: 19:07:04 time: 0.3679 data_time: 0.0152 memory: 8039 grad_norm: 1.2252 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2533 loss: 3.2533 2022/08/20 08:30:45 - mmengine - INFO - Epoch(train) [65][300/940] lr: 3.4142e-01 eta: 19:06:23 time: 0.3728 data_time: 0.0163 memory: 8039 grad_norm: 1.2348 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1462 loss: 3.1462 2022/08/20 08:31:22 - mmengine - INFO - Epoch(train) [65][400/940] lr: 3.4142e-01 eta: 19:05:42 time: 0.3697 data_time: 0.0153 memory: 8039 grad_norm: 1.2143 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0342 loss: 3.0342 2022/08/20 08:32:00 - mmengine - INFO - Epoch(train) [65][500/940] lr: 3.4142e-01 eta: 19:05:03 time: 0.3723 data_time: 0.0156 memory: 8039 grad_norm: 1.2346 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0180 loss: 3.0180 2022/08/20 08:32:37 - mmengine - INFO - Epoch(train) [65][600/940] lr: 3.4142e-01 eta: 19:04:22 time: 0.3682 data_time: 0.0158 memory: 8039 grad_norm: 1.2608 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1219 loss: 3.1219 2022/08/20 08:33:15 - mmengine - INFO - Epoch(train) [65][700/940] lr: 3.4142e-01 eta: 19:03:43 time: 0.3789 data_time: 0.0158 memory: 8039 grad_norm: 1.2385 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.3507 loss: 3.3507 2022/08/20 08:33:53 - mmengine - INFO - Epoch(train) [65][800/940] lr: 3.4142e-01 eta: 19:03:04 time: 0.3818 data_time: 0.0163 memory: 8039 grad_norm: 1.2157 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1288 loss: 3.1288 2022/08/20 08:34:08 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 08:34:31 - mmengine - INFO - Epoch(train) [65][900/940] lr: 3.4142e-01 eta: 19:02:24 time: 0.3913 data_time: 0.0160 memory: 8039 grad_norm: 1.2280 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0150 loss: 3.0150 2022/08/20 08:34:45 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 08:34:45 - mmengine - INFO - Epoch(train) [65][940/940] lr: 3.4142e-01 eta: 19:02:07 time: 0.3523 data_time: 0.0148 memory: 8039 grad_norm: 1.2512 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.2863 loss: 3.2863 2022/08/20 08:35:05 - mmengine - INFO - Epoch(val) [65][78/78] acc/top1: 0.3592 acc/top5: 0.6374 acc/mean1: 0.3593 2022/08/20 08:35:05 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb/best_acc/top1_epoch_41.pth is removed 2022/08/20 08:35:08 - mmengine - INFO - The best checkpoint with 0.3592 acc/top1 at 66 epoch is saved to best_acc/top1_epoch_66.pth. 2022/08/20 08:35:47 - mmengine - INFO - Epoch(train) [66][100/940] lr: 3.3968e-01 eta: 19:01:30 time: 0.3680 data_time: 0.0155 memory: 8039 grad_norm: 1.2424 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0051 loss: 3.0051 2022/08/20 08:36:25 - mmengine - INFO - Epoch(train) [66][200/940] lr: 3.3968e-01 eta: 19:00:52 time: 0.3672 data_time: 0.0153 memory: 8039 grad_norm: 1.2295 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8063 loss: 2.8063 2022/08/20 08:37:02 - mmengine - INFO - Epoch(train) [66][300/940] lr: 3.3968e-01 eta: 19:00:12 time: 0.3890 data_time: 0.0151 memory: 8039 grad_norm: 1.2430 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.2258 loss: 3.2258 2022/08/20 08:37:43 - mmengine - INFO - Epoch(train) [66][400/940] lr: 3.3968e-01 eta: 18:59:40 time: 0.4880 data_time: 0.0175 memory: 8039 grad_norm: 1.2417 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0494 loss: 3.0494 2022/08/20 08:38:21 - mmengine - INFO - Epoch(train) [66][500/940] lr: 3.3968e-01 eta: 18:59:03 time: 0.4188 data_time: 0.0160 memory: 8039 grad_norm: 1.2209 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1895 loss: 3.1895 2022/08/20 08:38:59 - mmengine - INFO - Epoch(train) [66][600/940] lr: 3.3968e-01 eta: 18:58:24 time: 0.3811 data_time: 0.0154 memory: 8039 grad_norm: 1.2398 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7527 loss: 2.7527 2022/08/20 08:39:37 - mmengine - INFO - Epoch(train) [66][700/940] lr: 3.3968e-01 eta: 18:57:44 time: 0.3671 data_time: 0.0154 memory: 8039 grad_norm: 1.2297 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1784 loss: 3.1784 2022/08/20 08:40:14 - mmengine - INFO - Epoch(train) [66][800/940] lr: 3.3968e-01 eta: 18:57:04 time: 0.3614 data_time: 0.0154 memory: 8039 grad_norm: 1.2348 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8365 loss: 2.8365 2022/08/20 08:40:53 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 08:40:53 - mmengine - INFO - Epoch(train) [66][900/940] lr: 3.3968e-01 eta: 18:56:27 time: 0.3784 data_time: 0.0149 memory: 8039 grad_norm: 1.2227 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0257 loss: 3.0257 2022/08/20 08:41:08 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 08:41:08 - mmengine - INFO - Epoch(train) [66][940/940] lr: 3.3968e-01 eta: 18:56:10 time: 0.3696 data_time: 0.0148 memory: 8039 grad_norm: 1.2593 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.4790 loss: 3.4790 2022/08/20 08:41:47 - mmengine - INFO - Epoch(train) [67][100/940] lr: 3.3791e-01 eta: 18:55:36 time: 0.3689 data_time: 0.0150 memory: 8039 grad_norm: 1.2449 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9631 loss: 2.9631 2022/08/20 08:42:25 - mmengine - INFO - Epoch(train) [67][200/940] lr: 3.3791e-01 eta: 18:54:56 time: 0.3801 data_time: 0.0156 memory: 8039 grad_norm: 1.2303 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9980 loss: 2.9980 2022/08/20 08:43:02 - mmengine - INFO - Epoch(train) [67][300/940] lr: 3.3791e-01 eta: 18:54:16 time: 0.3788 data_time: 0.0158 memory: 8039 grad_norm: 1.2600 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9408 loss: 2.9408 2022/08/20 08:43:40 - mmengine - INFO - Epoch(train) [67][400/940] lr: 3.3791e-01 eta: 18:53:37 time: 0.3967 data_time: 0.0154 memory: 8039 grad_norm: 1.2570 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3222 loss: 3.3222 2022/08/20 08:44:18 - mmengine - INFO - Epoch(train) [67][500/940] lr: 3.3791e-01 eta: 18:52:58 time: 0.3698 data_time: 0.0144 memory: 8039 grad_norm: 1.2428 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.9213 loss: 2.9213 2022/08/20 08:44:56 - mmengine - INFO - Epoch(train) [67][600/940] lr: 3.3791e-01 eta: 18:52:17 time: 0.3685 data_time: 0.0156 memory: 8039 grad_norm: 1.2380 top1_acc: 0.0000 top5_acc: 0.7500 loss_cls: 3.0046 loss: 3.0046 2022/08/20 08:45:34 - mmengine - INFO - Epoch(train) [67][700/940] lr: 3.3791e-01 eta: 18:51:39 time: 0.3745 data_time: 0.0168 memory: 8039 grad_norm: 1.2591 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9131 loss: 2.9131 2022/08/20 08:46:11 - mmengine - INFO - Epoch(train) [67][800/940] lr: 3.3791e-01 eta: 18:50:59 time: 0.3680 data_time: 0.0160 memory: 8039 grad_norm: 1.2373 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4060 loss: 3.4060 2022/08/20 08:46:49 - mmengine - INFO - Epoch(train) [67][900/940] lr: 3.3791e-01 eta: 18:50:19 time: 0.3693 data_time: 0.0155 memory: 8039 grad_norm: 1.2494 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8899 loss: 2.8899 2022/08/20 08:47:03 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 08:47:03 - mmengine - INFO - Epoch(train) [67][940/940] lr: 3.3791e-01 eta: 18:50:02 time: 0.3647 data_time: 0.0151 memory: 8039 grad_norm: 1.2898 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.9388 loss: 2.9388 2022/08/20 08:47:13 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 08:47:43 - mmengine - INFO - Epoch(train) [68][100/940] lr: 3.3612e-01 eta: 18:49:27 time: 0.3874 data_time: 0.0150 memory: 8039 grad_norm: 1.2617 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1296 loss: 3.1296 2022/08/20 08:48:21 - mmengine - INFO - Epoch(train) [68][200/940] lr: 3.3612e-01 eta: 18:48:49 time: 0.3901 data_time: 0.0166 memory: 8039 grad_norm: 1.2565 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9109 loss: 2.9109 2022/08/20 08:48:58 - mmengine - INFO - Epoch(train) [68][300/940] lr: 3.3612e-01 eta: 18:48:08 time: 0.3660 data_time: 0.0153 memory: 8039 grad_norm: 1.2375 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7067 loss: 2.7067 2022/08/20 08:49:36 - mmengine - INFO - Epoch(train) [68][400/940] lr: 3.3612e-01 eta: 18:47:29 time: 0.3741 data_time: 0.0145 memory: 8039 grad_norm: 1.2442 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1957 loss: 3.1957 2022/08/20 08:50:14 - mmengine - INFO - Epoch(train) [68][500/940] lr: 3.3612e-01 eta: 18:46:49 time: 0.3708 data_time: 0.0153 memory: 8039 grad_norm: 1.2230 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.1891 loss: 3.1891 2022/08/20 08:50:51 - mmengine - INFO - Epoch(train) [68][600/940] lr: 3.3612e-01 eta: 18:46:09 time: 0.3678 data_time: 0.0148 memory: 8039 grad_norm: 1.2428 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.2144 loss: 3.2144 2022/08/20 08:51:29 - mmengine - INFO - Epoch(train) [68][700/940] lr: 3.3612e-01 eta: 18:45:29 time: 0.3662 data_time: 0.0153 memory: 8039 grad_norm: 1.2370 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2452 loss: 3.2452 2022/08/20 08:52:06 - mmengine - INFO - Epoch(train) [68][800/940] lr: 3.3612e-01 eta: 18:44:49 time: 0.3705 data_time: 0.0151 memory: 8039 grad_norm: 1.2256 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0560 loss: 3.0560 2022/08/20 08:52:45 - mmengine - INFO - Epoch(train) [68][900/940] lr: 3.3612e-01 eta: 18:44:11 time: 0.3644 data_time: 0.0150 memory: 8039 grad_norm: 1.2481 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8760 loss: 2.8760 2022/08/20 08:53:00 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 08:53:00 - mmengine - INFO - Epoch(train) [68][940/940] lr: 3.3612e-01 eta: 18:43:55 time: 0.3582 data_time: 0.0139 memory: 8039 grad_norm: 1.2730 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.3247 loss: 3.3247 2022/08/20 08:53:00 - mmengine - INFO - Saving checkpoint at 68 epochs 2022/08/20 08:53:35 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 08:53:43 - mmengine - INFO - Epoch(train) [69][100/940] lr: 3.3431e-01 eta: 18:43:19 time: 0.3715 data_time: 0.0148 memory: 8039 grad_norm: 1.2273 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.2253 loss: 3.2253 2022/08/20 08:54:21 - mmengine - INFO - Epoch(train) [69][200/940] lr: 3.3431e-01 eta: 18:42:40 time: 0.3681 data_time: 0.0154 memory: 8039 grad_norm: 1.2142 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.1847 loss: 3.1847 2022/08/20 08:54:58 - mmengine - INFO - Epoch(train) [69][300/940] lr: 3.3431e-01 eta: 18:42:00 time: 0.3691 data_time: 0.0145 memory: 8039 grad_norm: 1.2432 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.0458 loss: 3.0458 2022/08/20 08:55:36 - mmengine - INFO - Epoch(train) [69][400/940] lr: 3.3431e-01 eta: 18:41:20 time: 0.3764 data_time: 0.0151 memory: 8039 grad_norm: 1.2293 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2512 loss: 3.2512 2022/08/20 08:56:14 - mmengine - INFO - Epoch(train) [69][500/940] lr: 3.3431e-01 eta: 18:40:41 time: 0.3745 data_time: 0.0151 memory: 8039 grad_norm: 1.2421 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0246 loss: 3.0246 2022/08/20 08:56:51 - mmengine - INFO - Epoch(train) [69][600/940] lr: 3.3431e-01 eta: 18:40:01 time: 0.3668 data_time: 0.0159 memory: 8039 grad_norm: 1.2509 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1079 loss: 3.1079 2022/08/20 08:57:29 - mmengine - INFO - Epoch(train) [69][700/940] lr: 3.3431e-01 eta: 18:39:21 time: 0.3695 data_time: 0.0149 memory: 8039 grad_norm: 1.2319 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8401 loss: 2.8401 2022/08/20 08:58:06 - mmengine - INFO - Epoch(train) [69][800/940] lr: 3.3431e-01 eta: 18:38:41 time: 0.3696 data_time: 0.0158 memory: 8039 grad_norm: 1.2377 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1255 loss: 3.1255 2022/08/20 08:58:45 - mmengine - INFO - Epoch(train) [69][900/940] lr: 3.3431e-01 eta: 18:38:04 time: 0.3758 data_time: 0.0157 memory: 8039 grad_norm: 1.2512 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1249 loss: 3.1249 2022/08/20 08:59:00 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 08:59:00 - mmengine - INFO - Epoch(train) [69][940/940] lr: 3.3431e-01 eta: 18:37:48 time: 0.3575 data_time: 0.0138 memory: 8039 grad_norm: 1.2621 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8882 loss: 2.8882 2022/08/20 08:59:39 - mmengine - INFO - Epoch(train) [70][100/940] lr: 3.3248e-01 eta: 18:37:13 time: 0.3619 data_time: 0.0159 memory: 8039 grad_norm: 1.2721 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8862 loss: 2.8862 2022/08/20 08:59:54 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 09:00:17 - mmengine - INFO - Epoch(train) [70][200/940] lr: 3.3248e-01 eta: 18:36:33 time: 0.3689 data_time: 0.0166 memory: 8039 grad_norm: 1.2441 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.0881 loss: 3.0881 2022/08/20 09:00:55 - mmengine - INFO - Epoch(train) [70][300/940] lr: 3.3248e-01 eta: 18:35:54 time: 0.3764 data_time: 0.0162 memory: 8039 grad_norm: 1.2342 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0755 loss: 3.0755 2022/08/20 09:01:33 - mmengine - INFO - Epoch(train) [70][400/940] lr: 3.3248e-01 eta: 18:35:17 time: 0.3991 data_time: 0.0182 memory: 8039 grad_norm: 1.2519 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9481 loss: 2.9481 2022/08/20 09:02:10 - mmengine - INFO - Epoch(train) [70][500/940] lr: 3.3248e-01 eta: 18:34:36 time: 0.3666 data_time: 0.0153 memory: 8039 grad_norm: 1.2523 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2176 loss: 3.2176 2022/08/20 09:02:48 - mmengine - INFO - Epoch(train) [70][600/940] lr: 3.3248e-01 eta: 18:33:57 time: 0.3855 data_time: 0.0159 memory: 8039 grad_norm: 1.2453 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7934 loss: 2.7934 2022/08/20 09:03:27 - mmengine - INFO - Epoch(train) [70][700/940] lr: 3.3248e-01 eta: 18:33:20 time: 0.3996 data_time: 0.0154 memory: 8039 grad_norm: 1.2712 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7583 loss: 2.7583 2022/08/20 09:04:05 - mmengine - INFO - Epoch(train) [70][800/940] lr: 3.3248e-01 eta: 18:32:42 time: 0.4023 data_time: 0.0148 memory: 8039 grad_norm: 1.2524 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8243 loss: 2.8243 2022/08/20 09:04:43 - mmengine - INFO - Epoch(train) [70][900/940] lr: 3.3248e-01 eta: 18:32:03 time: 0.4063 data_time: 0.0151 memory: 8039 grad_norm: 1.2705 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0080 loss: 3.0080 2022/08/20 09:04:57 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 09:04:57 - mmengine - INFO - Epoch(train) [70][940/940] lr: 3.3248e-01 eta: 18:31:45 time: 0.3570 data_time: 0.0155 memory: 8039 grad_norm: 1.2652 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1077 loss: 3.1077 2022/08/20 09:05:17 - mmengine - INFO - Epoch(val) [70][78/78] acc/top1: 0.3342 acc/top5: 0.6015 acc/mean1: 0.3342 2022/08/20 09:05:57 - mmengine - INFO - Epoch(train) [71][100/940] lr: 3.3063e-01 eta: 18:31:13 time: 0.3774 data_time: 0.0148 memory: 8039 grad_norm: 1.2480 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7704 loss: 2.7704 2022/08/20 09:06:36 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 09:06:36 - mmengine - INFO - Epoch(train) [71][200/940] lr: 3.3063e-01 eta: 18:30:37 time: 0.4437 data_time: 0.0150 memory: 8039 grad_norm: 1.2586 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 2.9895 loss: 2.9895 2022/08/20 09:07:14 - mmengine - INFO - Epoch(train) [71][300/940] lr: 3.3063e-01 eta: 18:29:57 time: 0.3687 data_time: 0.0151 memory: 8039 grad_norm: 1.2763 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.1813 loss: 3.1813 2022/08/20 09:07:51 - mmengine - INFO - Epoch(train) [71][400/940] lr: 3.3063e-01 eta: 18:29:17 time: 0.3729 data_time: 0.0146 memory: 8039 grad_norm: 1.2391 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0661 loss: 3.0661 2022/08/20 09:08:31 - mmengine - INFO - Epoch(train) [71][500/940] lr: 3.3063e-01 eta: 18:28:42 time: 0.4573 data_time: 0.0146 memory: 8039 grad_norm: 1.2374 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0811 loss: 3.0811 2022/08/20 09:09:08 - mmengine - INFO - Epoch(train) [71][600/940] lr: 3.3063e-01 eta: 18:28:02 time: 0.3829 data_time: 0.0154 memory: 8039 grad_norm: 1.2709 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9880 loss: 2.9880 2022/08/20 09:09:45 - mmengine - INFO - Epoch(train) [71][700/940] lr: 3.3063e-01 eta: 18:27:22 time: 0.3817 data_time: 0.0157 memory: 8039 grad_norm: 1.2561 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9720 loss: 2.9720 2022/08/20 09:10:23 - mmengine - INFO - Epoch(train) [71][800/940] lr: 3.3063e-01 eta: 18:26:43 time: 0.3902 data_time: 0.0166 memory: 8039 grad_norm: 1.2668 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5986 loss: 2.5986 2022/08/20 09:11:00 - mmengine - INFO - Epoch(train) [71][900/940] lr: 3.3063e-01 eta: 18:26:02 time: 0.3698 data_time: 0.0152 memory: 8039 grad_norm: 1.2633 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8834 loss: 2.8834 2022/08/20 09:11:16 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 09:11:16 - mmengine - INFO - Epoch(train) [71][940/940] lr: 3.3063e-01 eta: 18:25:47 time: 0.3615 data_time: 0.0154 memory: 8039 grad_norm: 1.2510 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.3399 loss: 3.3399 2022/08/20 09:11:55 - mmengine - INFO - Epoch(train) [72][100/940] lr: 3.2877e-01 eta: 18:25:12 time: 0.3707 data_time: 0.0153 memory: 8039 grad_norm: 1.2602 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8874 loss: 2.8874 2022/08/20 09:12:33 - mmengine - INFO - Epoch(train) [72][200/940] lr: 3.2877e-01 eta: 18:24:33 time: 0.3779 data_time: 0.0154 memory: 8039 grad_norm: 1.2787 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9056 loss: 2.9056 2022/08/20 09:12:56 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 09:13:11 - mmengine - INFO - Epoch(train) [72][300/940] lr: 3.2877e-01 eta: 18:23:54 time: 0.3677 data_time: 0.0151 memory: 8039 grad_norm: 1.2536 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9396 loss: 2.9396 2022/08/20 09:13:48 - mmengine - INFO - Epoch(train) [72][400/940] lr: 3.2877e-01 eta: 18:23:13 time: 0.3756 data_time: 0.0163 memory: 8039 grad_norm: 1.2439 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.3769 loss: 3.3769 2022/08/20 09:14:26 - mmengine - INFO - Epoch(train) [72][500/940] lr: 3.2877e-01 eta: 18:22:33 time: 0.3812 data_time: 0.0157 memory: 8039 grad_norm: 1.2700 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8682 loss: 2.8682 2022/08/20 09:15:03 - mmengine - INFO - Epoch(train) [72][600/940] lr: 3.2877e-01 eta: 18:21:53 time: 0.3825 data_time: 0.0158 memory: 8039 grad_norm: 1.2422 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2072 loss: 3.2072 2022/08/20 09:15:40 - mmengine - INFO - Epoch(train) [72][700/940] lr: 3.2877e-01 eta: 18:21:13 time: 0.3688 data_time: 0.0154 memory: 8039 grad_norm: 1.2722 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9227 loss: 2.9227 2022/08/20 09:16:18 - mmengine - INFO - Epoch(train) [72][800/940] lr: 3.2877e-01 eta: 18:20:32 time: 0.3759 data_time: 0.0157 memory: 8039 grad_norm: 1.2795 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1353 loss: 3.1353 2022/08/20 09:16:55 - mmengine - INFO - Epoch(train) [72][900/940] lr: 3.2877e-01 eta: 18:19:51 time: 0.3721 data_time: 0.0164 memory: 8039 grad_norm: 1.2831 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3570 loss: 3.3570 2022/08/20 09:17:10 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 09:17:10 - mmengine - INFO - Epoch(train) [72][940/940] lr: 3.2877e-01 eta: 18:19:35 time: 0.3701 data_time: 0.0152 memory: 8039 grad_norm: 1.2844 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.7489 loss: 2.7489 2022/08/20 09:17:10 - mmengine - INFO - Saving checkpoint at 72 epochs 2022/08/20 09:17:53 - mmengine - INFO - Epoch(train) [73][100/940] lr: 3.2688e-01 eta: 18:18:57 time: 0.3707 data_time: 0.0148 memory: 8039 grad_norm: 1.2424 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0819 loss: 3.0819 2022/08/20 09:18:30 - mmengine - INFO - Epoch(train) [73][200/940] lr: 3.2688e-01 eta: 18:18:18 time: 0.3684 data_time: 0.0151 memory: 8039 grad_norm: 1.2444 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.8636 loss: 2.8636 2022/08/20 09:19:08 - mmengine - INFO - Epoch(train) [73][300/940] lr: 3.2688e-01 eta: 18:17:37 time: 0.3788 data_time: 0.0148 memory: 8039 grad_norm: 1.2621 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.0750 loss: 3.0750 2022/08/20 09:19:15 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 09:19:45 - mmengine - INFO - Epoch(train) [73][400/940] lr: 3.2688e-01 eta: 18:16:58 time: 0.3779 data_time: 0.0162 memory: 8039 grad_norm: 1.2441 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.2987 loss: 3.2987 2022/08/20 09:20:23 - mmengine - INFO - Epoch(train) [73][500/940] lr: 3.2688e-01 eta: 18:16:19 time: 0.3868 data_time: 0.0148 memory: 8039 grad_norm: 1.2521 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8200 loss: 2.8200 2022/08/20 09:21:01 - mmengine - INFO - Epoch(train) [73][600/940] lr: 3.2688e-01 eta: 18:15:39 time: 0.3727 data_time: 0.0142 memory: 8039 grad_norm: 1.2395 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7671 loss: 2.7671 2022/08/20 09:21:38 - mmengine - INFO - Epoch(train) [73][700/940] lr: 3.2688e-01 eta: 18:15:00 time: 0.3716 data_time: 0.0146 memory: 8039 grad_norm: 1.2576 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0591 loss: 3.0591 2022/08/20 09:22:16 - mmengine - INFO - Epoch(train) [73][800/940] lr: 3.2688e-01 eta: 18:14:20 time: 0.3723 data_time: 0.0151 memory: 8039 grad_norm: 1.2754 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.8864 loss: 2.8864 2022/08/20 09:22:54 - mmengine - INFO - Epoch(train) [73][900/940] lr: 3.2688e-01 eta: 18:13:41 time: 0.3690 data_time: 0.0160 memory: 8039 grad_norm: 1.2349 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9135 loss: 2.9135 2022/08/20 09:23:08 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 09:23:08 - mmengine - INFO - Epoch(train) [73][940/940] lr: 3.2688e-01 eta: 18:13:24 time: 0.3534 data_time: 0.0154 memory: 8039 grad_norm: 1.2983 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 3.0339 loss: 3.0339 2022/08/20 09:23:47 - mmengine - INFO - Epoch(train) [74][100/940] lr: 3.2497e-01 eta: 18:12:47 time: 0.3677 data_time: 0.0155 memory: 8039 grad_norm: 1.2509 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.9440 loss: 2.9440 2022/08/20 09:24:24 - mmengine - INFO - Epoch(train) [74][200/940] lr: 3.2497e-01 eta: 18:12:06 time: 0.3687 data_time: 0.0162 memory: 8039 grad_norm: 1.2603 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3428 loss: 3.3428 2022/08/20 09:25:01 - mmengine - INFO - Epoch(train) [74][300/940] lr: 3.2497e-01 eta: 18:11:25 time: 0.3688 data_time: 0.0152 memory: 8039 grad_norm: 1.2661 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8384 loss: 2.8384 2022/08/20 09:25:31 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 09:25:38 - mmengine - INFO - Epoch(train) [74][400/940] lr: 3.2497e-01 eta: 18:10:44 time: 0.3658 data_time: 0.0157 memory: 8039 grad_norm: 1.2751 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.0303 loss: 3.0303 2022/08/20 09:26:15 - mmengine - INFO - Epoch(train) [74][500/940] lr: 3.2497e-01 eta: 18:10:03 time: 0.3677 data_time: 0.0151 memory: 8039 grad_norm: 1.2715 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3885 loss: 3.3885 2022/08/20 09:26:53 - mmengine - INFO - Epoch(train) [74][600/940] lr: 3.2497e-01 eta: 18:09:24 time: 0.3733 data_time: 0.0154 memory: 8039 grad_norm: 1.2468 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9505 loss: 2.9505 2022/08/20 09:27:30 - mmengine - INFO - Epoch(train) [74][700/940] lr: 3.2497e-01 eta: 18:08:45 time: 0.3908 data_time: 0.0183 memory: 8039 grad_norm: 1.2511 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7290 loss: 2.7290 2022/08/20 09:28:08 - mmengine - INFO - Epoch(train) [74][800/940] lr: 3.2497e-01 eta: 18:08:06 time: 0.3842 data_time: 0.0153 memory: 8039 grad_norm: 1.2539 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0896 loss: 3.0896 2022/08/20 09:28:46 - mmengine - INFO - Epoch(train) [74][900/940] lr: 3.2497e-01 eta: 18:07:27 time: 0.3852 data_time: 0.0150 memory: 8039 grad_norm: 1.2802 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0962 loss: 3.0962 2022/08/20 09:29:01 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 09:29:01 - mmengine - INFO - Epoch(train) [74][940/940] lr: 3.2497e-01 eta: 18:07:10 time: 0.3632 data_time: 0.0149 memory: 8039 grad_norm: 1.2644 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 3.2074 loss: 3.2074 2022/08/20 09:29:41 - mmengine - INFO - Epoch(train) [75][100/940] lr: 3.2305e-01 eta: 18:06:37 time: 0.3906 data_time: 0.0160 memory: 8039 grad_norm: 1.2407 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9117 loss: 2.9117 2022/08/20 09:30:19 - mmengine - INFO - Epoch(train) [75][200/940] lr: 3.2305e-01 eta: 18:05:58 time: 0.3950 data_time: 0.0162 memory: 8039 grad_norm: 1.2679 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.1501 loss: 3.1501 2022/08/20 09:30:57 - mmengine - INFO - Epoch(train) [75][300/940] lr: 3.2305e-01 eta: 18:05:20 time: 0.3951 data_time: 0.0161 memory: 8039 grad_norm: 1.2634 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1453 loss: 3.1453 2022/08/20 09:31:35 - mmengine - INFO - Epoch(train) [75][400/940] lr: 3.2305e-01 eta: 18:04:42 time: 0.4098 data_time: 0.0162 memory: 8039 grad_norm: 1.2614 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.0071 loss: 3.0071 2022/08/20 09:31:50 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 09:32:12 - mmengine - INFO - Epoch(train) [75][500/940] lr: 3.2305e-01 eta: 18:04:02 time: 0.3719 data_time: 0.0152 memory: 8039 grad_norm: 1.2682 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8845 loss: 2.8845 2022/08/20 09:32:51 - mmengine - INFO - Epoch(train) [75][600/940] lr: 3.2305e-01 eta: 18:03:24 time: 0.3709 data_time: 0.0181 memory: 8039 grad_norm: 1.2533 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9898 loss: 2.9898 2022/08/20 09:33:29 - mmengine - INFO - Epoch(train) [75][700/940] lr: 3.2305e-01 eta: 18:02:47 time: 0.3771 data_time: 0.0171 memory: 8039 grad_norm: 1.2691 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0111 loss: 3.0111 2022/08/20 09:34:08 - mmengine - INFO - Epoch(train) [75][800/940] lr: 3.2305e-01 eta: 18:02:09 time: 0.3776 data_time: 0.0165 memory: 8039 grad_norm: 1.2542 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0687 loss: 3.0687 2022/08/20 09:34:46 - mmengine - INFO - Epoch(train) [75][900/940] lr: 3.2305e-01 eta: 18:01:32 time: 0.3857 data_time: 0.0163 memory: 8039 grad_norm: 1.2730 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0801 loss: 3.0801 2022/08/20 09:35:01 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 09:35:01 - mmengine - INFO - Epoch(train) [75][940/940] lr: 3.2305e-01 eta: 18:01:15 time: 0.3586 data_time: 0.0137 memory: 8039 grad_norm: 1.2974 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 3.0528 loss: 3.0528 2022/08/20 09:35:20 - mmengine - INFO - Epoch(val) [75][78/78] acc/top1: 0.3633 acc/top5: 0.6304 acc/mean1: 0.3633 2022/08/20 09:35:20 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb/best_acc/top1_epoch_66.pth is removed 2022/08/20 09:35:23 - mmengine - INFO - The best checkpoint with 0.3633 acc/top1 at 76 epoch is saved to best_acc/top1_epoch_76.pth. 2022/08/20 09:36:02 - mmengine - INFO - Epoch(train) [76][100/940] lr: 3.2110e-01 eta: 18:00:40 time: 0.4144 data_time: 0.0159 memory: 8039 grad_norm: 1.2964 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.1794 loss: 3.1794 2022/08/20 09:36:41 - mmengine - INFO - Epoch(train) [76][200/940] lr: 3.2110e-01 eta: 18:00:03 time: 0.3962 data_time: 0.0154 memory: 8039 grad_norm: 1.2704 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0892 loss: 3.0892 2022/08/20 09:37:20 - mmengine - INFO - Epoch(train) [76][300/940] lr: 3.2110e-01 eta: 17:59:26 time: 0.4201 data_time: 0.0149 memory: 8039 grad_norm: 1.2641 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9422 loss: 2.9422 2022/08/20 09:37:58 - mmengine - INFO - Epoch(train) [76][400/940] lr: 3.2110e-01 eta: 17:58:48 time: 0.3774 data_time: 0.0152 memory: 8039 grad_norm: 1.2757 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8759 loss: 2.8759 2022/08/20 09:38:36 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 09:38:36 - mmengine - INFO - Epoch(train) [76][500/940] lr: 3.2110e-01 eta: 17:58:09 time: 0.3726 data_time: 0.0154 memory: 8039 grad_norm: 1.2886 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0650 loss: 3.0650 2022/08/20 09:39:14 - mmengine - INFO - Epoch(train) [76][600/940] lr: 3.2110e-01 eta: 17:57:31 time: 0.3704 data_time: 0.0145 memory: 8039 grad_norm: 1.2508 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2436 loss: 3.2436 2022/08/20 09:39:52 - mmengine - INFO - Epoch(train) [76][700/940] lr: 3.2110e-01 eta: 17:56:52 time: 0.3815 data_time: 0.0165 memory: 8039 grad_norm: 1.2527 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.8019 loss: 2.8019 2022/08/20 09:40:29 - mmengine - INFO - Epoch(train) [76][800/940] lr: 3.2110e-01 eta: 17:56:13 time: 0.3885 data_time: 0.0160 memory: 8039 grad_norm: 1.2894 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9973 loss: 2.9973 2022/08/20 09:41:08 - mmengine - INFO - Epoch(train) [76][900/940] lr: 3.2110e-01 eta: 17:55:36 time: 0.4209 data_time: 0.0155 memory: 8039 grad_norm: 1.2435 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.9860 loss: 2.9860 2022/08/20 09:41:22 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 09:41:22 - mmengine - INFO - Epoch(train) [76][940/940] lr: 3.2110e-01 eta: 17:55:18 time: 0.3487 data_time: 0.0132 memory: 8039 grad_norm: 1.2849 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1411 loss: 3.1411 2022/08/20 09:41:22 - mmengine - INFO - Saving checkpoint at 76 epochs 2022/08/20 09:42:07 - mmengine - INFO - Epoch(train) [77][100/940] lr: 3.1914e-01 eta: 17:54:44 time: 0.4015 data_time: 0.0156 memory: 8039 grad_norm: 1.2565 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0244 loss: 3.0244 2022/08/20 09:42:44 - mmengine - INFO - Epoch(train) [77][200/940] lr: 3.1914e-01 eta: 17:54:04 time: 0.3704 data_time: 0.0155 memory: 8039 grad_norm: 1.2679 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0190 loss: 3.0190 2022/08/20 09:43:22 - mmengine - INFO - Epoch(train) [77][300/940] lr: 3.1914e-01 eta: 17:53:26 time: 0.3696 data_time: 0.0151 memory: 8039 grad_norm: 1.2801 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7029 loss: 2.7029 2022/08/20 09:44:00 - mmengine - INFO - Epoch(train) [77][400/940] lr: 3.1914e-01 eta: 17:52:47 time: 0.3719 data_time: 0.0155 memory: 8039 grad_norm: 1.2621 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7833 loss: 2.7833 2022/08/20 09:44:39 - mmengine - INFO - Epoch(train) [77][500/940] lr: 3.1914e-01 eta: 17:52:10 time: 0.3750 data_time: 0.0153 memory: 8039 grad_norm: 1.2805 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.2458 loss: 3.2458 2022/08/20 09:45:01 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 09:45:17 - mmengine - INFO - Epoch(train) [77][600/940] lr: 3.1914e-01 eta: 17:51:31 time: 0.3744 data_time: 0.0157 memory: 8039 grad_norm: 1.2611 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1722 loss: 3.1722 2022/08/20 09:45:54 - mmengine - INFO - Epoch(train) [77][700/940] lr: 3.1914e-01 eta: 17:50:51 time: 0.3668 data_time: 0.0144 memory: 8039 grad_norm: 1.2778 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0204 loss: 3.0204 2022/08/20 09:46:31 - mmengine - INFO - Epoch(train) [77][800/940] lr: 3.1914e-01 eta: 17:50:11 time: 0.3719 data_time: 0.0151 memory: 8039 grad_norm: 1.2593 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9912 loss: 2.9912 2022/08/20 09:47:09 - mmengine - INFO - Epoch(train) [77][900/940] lr: 3.1914e-01 eta: 17:49:32 time: 0.3925 data_time: 0.0161 memory: 8039 grad_norm: 1.3033 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0006 loss: 3.0006 2022/08/20 09:47:24 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 09:47:24 - mmengine - INFO - Epoch(train) [77][940/940] lr: 3.1914e-01 eta: 17:49:15 time: 0.3605 data_time: 0.0145 memory: 8039 grad_norm: 1.3125 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 3.0525 loss: 3.0525 2022/08/20 09:48:03 - mmengine - INFO - Epoch(train) [78][100/940] lr: 3.1716e-01 eta: 17:48:40 time: 0.3634 data_time: 0.0155 memory: 8039 grad_norm: 1.2911 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9392 loss: 2.9392 2022/08/20 09:48:41 - mmengine - INFO - Epoch(train) [78][200/940] lr: 3.1716e-01 eta: 17:48:01 time: 0.3710 data_time: 0.0157 memory: 8039 grad_norm: 1.2608 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9584 loss: 2.9584 2022/08/20 09:49:19 - mmengine - INFO - Epoch(train) [78][300/940] lr: 3.1716e-01 eta: 17:47:22 time: 0.3705 data_time: 0.0162 memory: 8039 grad_norm: 1.2848 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9205 loss: 2.9205 2022/08/20 09:49:57 - mmengine - INFO - Epoch(train) [78][400/940] lr: 3.1716e-01 eta: 17:46:43 time: 0.3759 data_time: 0.0154 memory: 8039 grad_norm: 1.2637 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8832 loss: 2.8832 2022/08/20 09:50:35 - mmengine - INFO - Epoch(train) [78][500/940] lr: 3.1716e-01 eta: 17:46:05 time: 0.3649 data_time: 0.0152 memory: 8039 grad_norm: 1.2696 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2698 loss: 3.2698 2022/08/20 09:51:12 - mmengine - INFO - Epoch(train) [78][600/940] lr: 3.1716e-01 eta: 17:45:26 time: 0.3823 data_time: 0.0167 memory: 8039 grad_norm: 1.2734 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8992 loss: 2.8992 2022/08/20 09:51:20 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 09:51:50 - mmengine - INFO - Epoch(train) [78][700/940] lr: 3.1716e-01 eta: 17:44:47 time: 0.3913 data_time: 0.0162 memory: 8039 grad_norm: 1.2591 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.7584 loss: 2.7584 2022/08/20 09:52:28 - mmengine - INFO - Epoch(train) [78][800/940] lr: 3.1716e-01 eta: 17:44:07 time: 0.3797 data_time: 0.0161 memory: 8039 grad_norm: 1.2462 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9649 loss: 2.9649 2022/08/20 09:53:05 - mmengine - INFO - Epoch(train) [78][900/940] lr: 3.1716e-01 eta: 17:43:28 time: 0.3672 data_time: 0.0147 memory: 8039 grad_norm: 1.2831 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.4404 loss: 3.4404 2022/08/20 09:53:20 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 09:53:20 - mmengine - INFO - Epoch(train) [78][940/940] lr: 3.1716e-01 eta: 17:43:11 time: 0.3623 data_time: 0.0146 memory: 8039 grad_norm: 1.3235 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.1815 loss: 3.1815 2022/08/20 09:54:00 - mmengine - INFO - Epoch(train) [79][100/940] lr: 3.1516e-01 eta: 17:42:36 time: 0.3787 data_time: 0.0148 memory: 8039 grad_norm: 1.2877 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1346 loss: 3.1346 2022/08/20 09:54:37 - mmengine - INFO - Epoch(train) [79][200/940] lr: 3.1516e-01 eta: 17:41:57 time: 0.3700 data_time: 0.0150 memory: 8039 grad_norm: 1.3014 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1639 loss: 3.1639 2022/08/20 09:55:15 - mmengine - INFO - Epoch(train) [79][300/940] lr: 3.1516e-01 eta: 17:41:17 time: 0.3681 data_time: 0.0150 memory: 8039 grad_norm: 1.2597 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0501 loss: 3.0501 2022/08/20 09:55:52 - mmengine - INFO - Epoch(train) [79][400/940] lr: 3.1516e-01 eta: 17:40:38 time: 0.3686 data_time: 0.0159 memory: 8039 grad_norm: 1.2873 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0879 loss: 3.0879 2022/08/20 09:56:30 - mmengine - INFO - Epoch(train) [79][500/940] lr: 3.1516e-01 eta: 17:39:59 time: 0.3676 data_time: 0.0161 memory: 8039 grad_norm: 1.2366 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1527 loss: 3.1527 2022/08/20 09:57:08 - mmengine - INFO - Epoch(train) [79][600/940] lr: 3.1516e-01 eta: 17:39:20 time: 0.3651 data_time: 0.0155 memory: 8039 grad_norm: 1.2737 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0765 loss: 3.0765 2022/08/20 09:57:38 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 09:57:46 - mmengine - INFO - Epoch(train) [79][700/940] lr: 3.1516e-01 eta: 17:38:42 time: 0.3790 data_time: 0.0159 memory: 8039 grad_norm: 1.3157 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0368 loss: 3.0368 2022/08/20 09:58:24 - mmengine - INFO - Epoch(train) [79][800/940] lr: 3.1516e-01 eta: 17:38:03 time: 0.4065 data_time: 0.0159 memory: 8039 grad_norm: 1.2871 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0731 loss: 3.0731 2022/08/20 09:59:02 - mmengine - INFO - Epoch(train) [79][900/940] lr: 3.1516e-01 eta: 17:37:25 time: 0.3820 data_time: 0.0160 memory: 8039 grad_norm: 1.2509 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0516 loss: 3.0516 2022/08/20 09:59:17 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 09:59:17 - mmengine - INFO - Epoch(train) [79][940/940] lr: 3.1516e-01 eta: 17:37:09 time: 0.3705 data_time: 0.0147 memory: 8039 grad_norm: 1.3186 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.1675 loss: 3.1675 2022/08/20 09:59:57 - mmengine - INFO - Epoch(train) [80][100/940] lr: 3.1315e-01 eta: 17:36:34 time: 0.3724 data_time: 0.0157 memory: 8039 grad_norm: 1.2652 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.0091 loss: 3.0091 2022/08/20 10:00:35 - mmengine - INFO - Epoch(train) [80][200/940] lr: 3.1315e-01 eta: 17:35:56 time: 0.4183 data_time: 0.0161 memory: 8039 grad_norm: 1.2802 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7291 loss: 2.7291 2022/08/20 10:01:12 - mmengine - INFO - Epoch(train) [80][300/940] lr: 3.1315e-01 eta: 17:35:16 time: 0.3664 data_time: 0.0170 memory: 8039 grad_norm: 1.2931 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8951 loss: 2.8951 2022/08/20 10:01:49 - mmengine - INFO - Epoch(train) [80][400/940] lr: 3.1315e-01 eta: 17:34:35 time: 0.3682 data_time: 0.0158 memory: 8039 grad_norm: 1.2812 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.1065 loss: 3.1065 2022/08/20 10:02:27 - mmengine - INFO - Epoch(train) [80][500/940] lr: 3.1315e-01 eta: 17:33:56 time: 0.3657 data_time: 0.0153 memory: 8039 grad_norm: 1.2730 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1822 loss: 3.1822 2022/08/20 10:03:06 - mmengine - INFO - Epoch(train) [80][600/940] lr: 3.1315e-01 eta: 17:33:19 time: 0.3664 data_time: 0.0164 memory: 8039 grad_norm: 1.2724 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7498 loss: 2.7498 2022/08/20 10:03:44 - mmengine - INFO - Epoch(train) [80][700/940] lr: 3.1315e-01 eta: 17:32:41 time: 0.4098 data_time: 0.0156 memory: 8039 grad_norm: 1.2922 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9898 loss: 2.9898 2022/08/20 10:03:59 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 10:04:22 - mmengine - INFO - Epoch(train) [80][800/940] lr: 3.1315e-01 eta: 17:32:04 time: 0.4240 data_time: 0.0161 memory: 8039 grad_norm: 1.2728 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9984 loss: 2.9984 2022/08/20 10:05:00 - mmengine - INFO - Epoch(train) [80][900/940] lr: 3.1315e-01 eta: 17:31:25 time: 0.3931 data_time: 0.0146 memory: 8039 grad_norm: 1.2614 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8320 loss: 2.8320 2022/08/20 10:05:15 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 10:05:15 - mmengine - INFO - Epoch(train) [80][940/940] lr: 3.1315e-01 eta: 17:31:09 time: 0.3700 data_time: 0.0143 memory: 8039 grad_norm: 1.2843 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1317 loss: 3.1317 2022/08/20 10:05:15 - mmengine - INFO - Saving checkpoint at 80 epochs 2022/08/20 10:05:37 - mmengine - INFO - Epoch(val) [80][78/78] acc/top1: 0.3798 acc/top5: 0.6557 acc/mean1: 0.3797 2022/08/20 10:05:37 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb/best_acc/top1_epoch_76.pth is removed 2022/08/20 10:05:39 - mmengine - INFO - The best checkpoint with 0.3798 acc/top1 at 81 epoch is saved to best_acc/top1_epoch_81.pth. 2022/08/20 10:06:19 - mmengine - INFO - Epoch(train) [81][100/940] lr: 3.1111e-01 eta: 17:30:34 time: 0.4255 data_time: 0.0158 memory: 8039 grad_norm: 1.3009 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7985 loss: 2.7985 2022/08/20 10:06:57 - mmengine - INFO - Epoch(train) [81][200/940] lr: 3.1111e-01 eta: 17:29:56 time: 0.3720 data_time: 0.0143 memory: 8039 grad_norm: 1.2836 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.0146 loss: 3.0146 2022/08/20 10:07:35 - mmengine - INFO - Epoch(train) [81][300/940] lr: 3.1111e-01 eta: 17:29:17 time: 0.3689 data_time: 0.0146 memory: 8039 grad_norm: 1.3050 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1012 loss: 3.1012 2022/08/20 10:08:13 - mmengine - INFO - Epoch(train) [81][400/940] lr: 3.1111e-01 eta: 17:28:38 time: 0.3752 data_time: 0.0164 memory: 8039 grad_norm: 1.2845 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0196 loss: 3.0196 2022/08/20 10:08:50 - mmengine - INFO - Epoch(train) [81][500/940] lr: 3.1111e-01 eta: 17:27:58 time: 0.3732 data_time: 0.0147 memory: 8039 grad_norm: 1.2669 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7520 loss: 2.7520 2022/08/20 10:09:28 - mmengine - INFO - Epoch(train) [81][600/940] lr: 3.1111e-01 eta: 17:27:19 time: 0.3718 data_time: 0.0142 memory: 8039 grad_norm: 1.3017 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9773 loss: 2.9773 2022/08/20 10:10:05 - mmengine - INFO - Epoch(train) [81][700/940] lr: 3.1111e-01 eta: 17:26:39 time: 0.3675 data_time: 0.0159 memory: 8039 grad_norm: 1.2798 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0293 loss: 3.0293 2022/08/20 10:10:43 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 10:10:43 - mmengine - INFO - Epoch(train) [81][800/940] lr: 3.1111e-01 eta: 17:26:01 time: 0.3905 data_time: 0.0174 memory: 8039 grad_norm: 1.2758 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9765 loss: 2.9765 2022/08/20 10:11:21 - mmengine - INFO - Epoch(train) [81][900/940] lr: 3.1111e-01 eta: 17:25:23 time: 0.3992 data_time: 0.0169 memory: 8039 grad_norm: 1.2969 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8103 loss: 2.8103 2022/08/20 10:11:36 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 10:11:36 - mmengine - INFO - Epoch(train) [81][940/940] lr: 3.1111e-01 eta: 17:25:07 time: 0.3659 data_time: 0.0146 memory: 8039 grad_norm: 1.3127 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.0489 loss: 3.0489 2022/08/20 10:12:17 - mmengine - INFO - Epoch(train) [82][100/940] lr: 3.0906e-01 eta: 17:24:33 time: 0.3717 data_time: 0.0148 memory: 8039 grad_norm: 1.3188 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9857 loss: 2.9857 2022/08/20 10:12:54 - mmengine - INFO - Epoch(train) [82][200/940] lr: 3.0906e-01 eta: 17:23:54 time: 0.3741 data_time: 0.0155 memory: 8039 grad_norm: 1.2867 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0531 loss: 3.0531 2022/08/20 10:13:32 - mmengine - INFO - Epoch(train) [82][300/940] lr: 3.0906e-01 eta: 17:23:15 time: 0.3940 data_time: 0.0153 memory: 8039 grad_norm: 1.3117 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9943 loss: 2.9943 2022/08/20 10:14:10 - mmengine - INFO - Epoch(train) [82][400/940] lr: 3.0906e-01 eta: 17:22:36 time: 0.3902 data_time: 0.0167 memory: 8039 grad_norm: 1.2623 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1259 loss: 3.1259 2022/08/20 10:14:47 - mmengine - INFO - Epoch(train) [82][500/940] lr: 3.0906e-01 eta: 17:21:56 time: 0.3687 data_time: 0.0152 memory: 8039 grad_norm: 1.2993 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7391 loss: 2.7391 2022/08/20 10:15:25 - mmengine - INFO - Epoch(train) [82][600/940] lr: 3.0906e-01 eta: 17:21:18 time: 0.3758 data_time: 0.0156 memory: 8039 grad_norm: 1.2818 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8717 loss: 2.8717 2022/08/20 10:16:03 - mmengine - INFO - Epoch(train) [82][700/940] lr: 3.0906e-01 eta: 17:20:38 time: 0.3697 data_time: 0.0150 memory: 8039 grad_norm: 1.2548 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9746 loss: 2.9746 2022/08/20 10:16:41 - mmengine - INFO - Epoch(train) [82][800/940] lr: 3.0906e-01 eta: 17:20:00 time: 0.3748 data_time: 0.0154 memory: 8039 grad_norm: 1.2796 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7532 loss: 2.7532 2022/08/20 10:17:03 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 10:17:18 - mmengine - INFO - Epoch(train) [82][900/940] lr: 3.0906e-01 eta: 17:19:19 time: 0.3714 data_time: 0.0150 memory: 8039 grad_norm: 1.2590 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6718 loss: 2.6718 2022/08/20 10:17:32 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 10:17:32 - mmengine - INFO - Epoch(train) [82][940/940] lr: 3.0906e-01 eta: 17:19:03 time: 0.3546 data_time: 0.0150 memory: 8039 grad_norm: 1.3115 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.8904 loss: 2.8904 2022/08/20 10:18:13 - mmengine - INFO - Epoch(train) [83][100/940] lr: 3.0700e-01 eta: 17:18:30 time: 0.4053 data_time: 0.0158 memory: 8039 grad_norm: 1.2876 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9401 loss: 2.9401 2022/08/20 10:18:51 - mmengine - INFO - Epoch(train) [83][200/940] lr: 3.0700e-01 eta: 17:17:51 time: 0.3960 data_time: 0.0173 memory: 8039 grad_norm: 1.2943 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4006 loss: 3.4006 2022/08/20 10:19:28 - mmengine - INFO - Epoch(train) [83][300/940] lr: 3.0700e-01 eta: 17:17:11 time: 0.3665 data_time: 0.0152 memory: 8039 grad_norm: 1.2911 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2059 loss: 3.2059 2022/08/20 10:20:06 - mmengine - INFO - Epoch(train) [83][400/940] lr: 3.0700e-01 eta: 17:16:32 time: 0.3769 data_time: 0.0148 memory: 8039 grad_norm: 1.2952 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8540 loss: 2.8540 2022/08/20 10:20:43 - mmengine - INFO - Epoch(train) [83][500/940] lr: 3.0700e-01 eta: 17:15:52 time: 0.3637 data_time: 0.0159 memory: 8039 grad_norm: 1.2704 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.8054 loss: 2.8054 2022/08/20 10:21:21 - mmengine - INFO - Epoch(train) [83][600/940] lr: 3.0700e-01 eta: 17:15:14 time: 0.3679 data_time: 0.0167 memory: 8039 grad_norm: 1.3006 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0225 loss: 3.0225 2022/08/20 10:21:59 - mmengine - INFO - Epoch(train) [83][700/940] lr: 3.0700e-01 eta: 17:14:35 time: 0.3664 data_time: 0.0148 memory: 8039 grad_norm: 1.2750 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1250 loss: 3.1250 2022/08/20 10:22:37 - mmengine - INFO - Epoch(train) [83][800/940] lr: 3.0700e-01 eta: 17:13:57 time: 0.3697 data_time: 0.0153 memory: 8039 grad_norm: 1.2863 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8759 loss: 2.8759 2022/08/20 10:23:15 - mmengine - INFO - Epoch(train) [83][900/940] lr: 3.0700e-01 eta: 17:13:19 time: 0.3826 data_time: 0.0161 memory: 8039 grad_norm: 1.2461 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.1584 loss: 3.1584 2022/08/20 10:23:23 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 10:23:30 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 10:23:30 - mmengine - INFO - Epoch(train) [83][940/940] lr: 3.0700e-01 eta: 17:13:03 time: 0.3772 data_time: 0.0141 memory: 8039 grad_norm: 1.3107 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.9872 loss: 2.9872 2022/08/20 10:24:10 - mmengine - INFO - Epoch(train) [84][100/940] lr: 3.0492e-01 eta: 17:12:29 time: 0.3879 data_time: 0.0156 memory: 8039 grad_norm: 1.2573 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8731 loss: 2.8731 2022/08/20 10:24:48 - mmengine - INFO - Epoch(train) [84][200/940] lr: 3.0492e-01 eta: 17:11:49 time: 0.3678 data_time: 0.0152 memory: 8039 grad_norm: 1.2713 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.2590 loss: 3.2590 2022/08/20 10:25:26 - mmengine - INFO - Epoch(train) [84][300/940] lr: 3.0492e-01 eta: 17:11:11 time: 0.3661 data_time: 0.0158 memory: 8039 grad_norm: 1.3248 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2789 loss: 3.2789 2022/08/20 10:26:04 - mmengine - INFO - Epoch(train) [84][400/940] lr: 3.0492e-01 eta: 17:10:33 time: 0.3687 data_time: 0.0149 memory: 8039 grad_norm: 1.3032 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.0181 loss: 3.0181 2022/08/20 10:26:42 - mmengine - INFO - Epoch(train) [84][500/940] lr: 3.0492e-01 eta: 17:09:55 time: 0.3726 data_time: 0.0161 memory: 8039 grad_norm: 1.3144 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1003 loss: 3.1003 2022/08/20 10:27:20 - mmengine - INFO - Epoch(train) [84][600/940] lr: 3.0492e-01 eta: 17:09:15 time: 0.3646 data_time: 0.0147 memory: 8039 grad_norm: 1.2833 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1113 loss: 3.1113 2022/08/20 10:27:57 - mmengine - INFO - Epoch(train) [84][700/940] lr: 3.0492e-01 eta: 17:08:36 time: 0.3676 data_time: 0.0143 memory: 8039 grad_norm: 1.2940 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.9912 loss: 2.9912 2022/08/20 10:28:35 - mmengine - INFO - Epoch(train) [84][800/940] lr: 3.0492e-01 eta: 17:07:57 time: 0.3858 data_time: 0.0147 memory: 8039 grad_norm: 1.3114 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0771 loss: 3.0771 2022/08/20 10:29:12 - mmengine - INFO - Epoch(train) [84][900/940] lr: 3.0492e-01 eta: 17:07:17 time: 0.3722 data_time: 0.0157 memory: 8039 grad_norm: 1.2911 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7787 loss: 2.7787 2022/08/20 10:29:27 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 10:29:27 - mmengine - INFO - Epoch(train) [84][940/940] lr: 3.0492e-01 eta: 17:07:00 time: 0.3548 data_time: 0.0148 memory: 8039 grad_norm: 1.3357 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.8729 loss: 2.8729 2022/08/20 10:29:27 - mmengine - INFO - Saving checkpoint at 84 epochs 2022/08/20 10:29:47 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 10:30:09 - mmengine - INFO - Epoch(train) [85][100/940] lr: 3.0282e-01 eta: 17:06:22 time: 0.3668 data_time: 0.0148 memory: 8039 grad_norm: 1.3364 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7487 loss: 2.7487 2022/08/20 10:30:47 - mmengine - INFO - Epoch(train) [85][200/940] lr: 3.0282e-01 eta: 17:05:42 time: 0.3727 data_time: 0.0158 memory: 8039 grad_norm: 1.2841 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9533 loss: 2.9533 2022/08/20 10:31:23 - mmengine - INFO - Epoch(train) [85][300/940] lr: 3.0282e-01 eta: 17:05:01 time: 0.3680 data_time: 0.0162 memory: 8039 grad_norm: 1.2849 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9993 loss: 2.9993 2022/08/20 10:32:01 - mmengine - INFO - Epoch(train) [85][400/940] lr: 3.0282e-01 eta: 17:04:22 time: 0.3750 data_time: 0.0162 memory: 8039 grad_norm: 1.2833 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1085 loss: 3.1085 2022/08/20 10:32:38 - mmengine - INFO - Epoch(train) [85][500/940] lr: 3.0282e-01 eta: 17:03:42 time: 0.3671 data_time: 0.0148 memory: 8039 grad_norm: 1.3007 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3847 loss: 3.3847 2022/08/20 10:33:16 - mmengine - INFO - Epoch(train) [85][600/940] lr: 3.0282e-01 eta: 17:03:03 time: 0.3985 data_time: 0.0154 memory: 8039 grad_norm: 1.3158 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0859 loss: 3.0859 2022/08/20 10:33:54 - mmengine - INFO - Epoch(train) [85][700/940] lr: 3.0282e-01 eta: 17:02:25 time: 0.4021 data_time: 0.0154 memory: 8039 grad_norm: 1.3025 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6832 loss: 2.6832 2022/08/20 10:34:32 - mmengine - INFO - Epoch(train) [85][800/940] lr: 3.0282e-01 eta: 17:01:47 time: 0.3954 data_time: 0.0151 memory: 8039 grad_norm: 1.3113 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9773 loss: 2.9773 2022/08/20 10:35:11 - mmengine - INFO - Epoch(train) [85][900/940] lr: 3.0282e-01 eta: 17:01:10 time: 0.3989 data_time: 0.0150 memory: 8039 grad_norm: 1.3036 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7855 loss: 2.7855 2022/08/20 10:35:26 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 10:35:26 - mmengine - INFO - Epoch(train) [85][940/940] lr: 3.0282e-01 eta: 17:00:54 time: 0.3604 data_time: 0.0151 memory: 8039 grad_norm: 1.3103 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 2.9437 loss: 2.9437 2022/08/20 10:35:46 - mmengine - INFO - Epoch(val) [85][78/78] acc/top1: 0.3783 acc/top5: 0.6529 acc/mean1: 0.3781 2022/08/20 10:36:25 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 10:36:25 - mmengine - INFO - Epoch(train) [86][100/940] lr: 3.0071e-01 eta: 17:00:19 time: 0.3890 data_time: 0.0165 memory: 8039 grad_norm: 1.3207 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0306 loss: 3.0306 2022/08/20 10:37:03 - mmengine - INFO - Epoch(train) [86][200/940] lr: 3.0071e-01 eta: 16:59:40 time: 0.3838 data_time: 0.0161 memory: 8039 grad_norm: 1.2943 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9725 loss: 2.9725 2022/08/20 10:37:41 - mmengine - INFO - Epoch(train) [86][300/940] lr: 3.0071e-01 eta: 16:59:01 time: 0.3938 data_time: 0.0154 memory: 8039 grad_norm: 1.3341 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8404 loss: 2.8404 2022/08/20 10:38:18 - mmengine - INFO - Epoch(train) [86][400/940] lr: 3.0071e-01 eta: 16:58:22 time: 0.3675 data_time: 0.0152 memory: 8039 grad_norm: 1.3031 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9878 loss: 2.9878 2022/08/20 10:38:56 - mmengine - INFO - Epoch(train) [86][500/940] lr: 3.0071e-01 eta: 16:57:43 time: 0.3728 data_time: 0.0150 memory: 8039 grad_norm: 1.2960 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0104 loss: 3.0104 2022/08/20 10:39:34 - mmengine - INFO - Epoch(train) [86][600/940] lr: 3.0071e-01 eta: 16:57:03 time: 0.3727 data_time: 0.0162 memory: 8039 grad_norm: 1.3027 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8276 loss: 2.8276 2022/08/20 10:40:12 - mmengine - INFO - Epoch(train) [86][700/940] lr: 3.0071e-01 eta: 16:56:25 time: 0.3723 data_time: 0.0147 memory: 8039 grad_norm: 1.3155 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8868 loss: 2.8868 2022/08/20 10:40:49 - mmengine - INFO - Epoch(train) [86][800/940] lr: 3.0071e-01 eta: 16:55:46 time: 0.3651 data_time: 0.0151 memory: 8039 grad_norm: 1.2991 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2307 loss: 3.2307 2022/08/20 10:41:27 - mmengine - INFO - Epoch(train) [86][900/940] lr: 3.0071e-01 eta: 16:55:07 time: 0.3812 data_time: 0.0158 memory: 8039 grad_norm: 1.3046 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0861 loss: 3.0861 2022/08/20 10:41:42 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 10:41:42 - mmengine - INFO - Epoch(train) [86][940/940] lr: 3.0071e-01 eta: 16:54:51 time: 0.3666 data_time: 0.0157 memory: 8039 grad_norm: 1.3229 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8416 loss: 2.8416 2022/08/20 10:42:22 - mmengine - INFO - Epoch(train) [87][100/940] lr: 2.9858e-01 eta: 16:54:17 time: 0.3906 data_time: 0.0163 memory: 8039 grad_norm: 1.3032 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9447 loss: 2.9447 2022/08/20 10:42:46 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 10:43:01 - mmengine - INFO - Epoch(train) [87][200/940] lr: 2.9858e-01 eta: 16:53:40 time: 0.3663 data_time: 0.0149 memory: 8039 grad_norm: 1.3036 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8382 loss: 2.8382 2022/08/20 10:43:39 - mmengine - INFO - Epoch(train) [87][300/940] lr: 2.9858e-01 eta: 16:53:02 time: 0.3681 data_time: 0.0154 memory: 8039 grad_norm: 1.3066 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.0980 loss: 3.0980 2022/08/20 10:44:17 - mmengine - INFO - Epoch(train) [87][400/940] lr: 2.9858e-01 eta: 16:52:23 time: 0.3751 data_time: 0.0148 memory: 8039 grad_norm: 1.3239 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8876 loss: 2.8876 2022/08/20 10:44:54 - mmengine - INFO - Epoch(train) [87][500/940] lr: 2.9858e-01 eta: 16:51:44 time: 0.3761 data_time: 0.0148 memory: 8039 grad_norm: 1.3053 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7791 loss: 2.7791 2022/08/20 10:45:32 - mmengine - INFO - Epoch(train) [87][600/940] lr: 2.9858e-01 eta: 16:51:05 time: 0.3784 data_time: 0.0151 memory: 8039 grad_norm: 1.3086 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0368 loss: 3.0368 2022/08/20 10:46:10 - mmengine - INFO - Epoch(train) [87][700/940] lr: 2.9858e-01 eta: 16:50:26 time: 0.3700 data_time: 0.0147 memory: 8039 grad_norm: 1.3083 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8439 loss: 2.8439 2022/08/20 10:46:49 - mmengine - INFO - Epoch(train) [87][800/940] lr: 2.9858e-01 eta: 16:49:51 time: 0.4316 data_time: 0.0166 memory: 8039 grad_norm: 1.2974 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.7447 loss: 2.7447 2022/08/20 10:47:27 - mmengine - INFO - Epoch(train) [87][900/940] lr: 2.9858e-01 eta: 16:49:13 time: 0.3765 data_time: 0.0163 memory: 8039 grad_norm: 1.3087 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0787 loss: 3.0787 2022/08/20 10:47:43 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 10:47:43 - mmengine - INFO - Epoch(train) [87][940/940] lr: 2.9858e-01 eta: 16:48:58 time: 0.3842 data_time: 0.0171 memory: 8039 grad_norm: 1.3604 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.6503 loss: 2.6503 2022/08/20 10:48:23 - mmengine - INFO - Epoch(train) [88][100/940] lr: 2.9644e-01 eta: 16:48:23 time: 0.3737 data_time: 0.0154 memory: 8039 grad_norm: 1.2997 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5846 loss: 2.5846 2022/08/20 10:49:00 - mmengine - INFO - Epoch(train) [88][200/940] lr: 2.9644e-01 eta: 16:47:43 time: 0.3671 data_time: 0.0156 memory: 8039 grad_norm: 1.3198 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9343 loss: 2.9343 2022/08/20 10:49:07 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 10:49:38 - mmengine - INFO - Epoch(train) [88][300/940] lr: 2.9644e-01 eta: 16:47:04 time: 0.3715 data_time: 0.0151 memory: 8039 grad_norm: 1.2909 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0346 loss: 3.0346 2022/08/20 10:50:15 - mmengine - INFO - Epoch(train) [88][400/940] lr: 2.9644e-01 eta: 16:46:24 time: 0.3679 data_time: 0.0151 memory: 8039 grad_norm: 1.3147 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7488 loss: 2.7488 2022/08/20 10:50:53 - mmengine - INFO - Epoch(train) [88][500/940] lr: 2.9644e-01 eta: 16:45:45 time: 0.3663 data_time: 0.0162 memory: 8039 grad_norm: 1.2915 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9207 loss: 2.9207 2022/08/20 10:51:30 - mmengine - INFO - Epoch(train) [88][600/940] lr: 2.9644e-01 eta: 16:45:06 time: 0.3672 data_time: 0.0158 memory: 8039 grad_norm: 1.3037 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.8423 loss: 2.8423 2022/08/20 10:52:09 - mmengine - INFO - Epoch(train) [88][700/940] lr: 2.9644e-01 eta: 16:44:29 time: 0.3978 data_time: 0.0169 memory: 8039 grad_norm: 1.3391 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7339 loss: 2.7339 2022/08/20 10:52:47 - mmengine - INFO - Epoch(train) [88][800/940] lr: 2.9644e-01 eta: 16:43:50 time: 0.3892 data_time: 0.0156 memory: 8039 grad_norm: 1.3329 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2120 loss: 3.2120 2022/08/20 10:53:25 - mmengine - INFO - Epoch(train) [88][900/940] lr: 2.9644e-01 eta: 16:43:12 time: 0.4025 data_time: 0.0157 memory: 8039 grad_norm: 1.2779 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0685 loss: 3.0685 2022/08/20 10:53:40 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 10:53:40 - mmengine - INFO - Epoch(train) [88][940/940] lr: 2.9644e-01 eta: 16:42:56 time: 0.3702 data_time: 0.0144 memory: 8039 grad_norm: 1.3340 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1438 loss: 3.1438 2022/08/20 10:53:40 - mmengine - INFO - Saving checkpoint at 88 epochs 2022/08/20 10:54:23 - mmengine - INFO - Epoch(train) [89][100/940] lr: 2.9428e-01 eta: 16:42:20 time: 0.3685 data_time: 0.0159 memory: 8039 grad_norm: 1.2909 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8294 loss: 2.8294 2022/08/20 10:55:02 - mmengine - INFO - Epoch(train) [89][200/940] lr: 2.9428e-01 eta: 16:41:42 time: 0.3820 data_time: 0.0147 memory: 8039 grad_norm: 1.3120 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6243 loss: 2.6243 2022/08/20 10:55:32 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 10:55:40 - mmengine - INFO - Epoch(train) [89][300/940] lr: 2.9428e-01 eta: 16:41:04 time: 0.4059 data_time: 0.0158 memory: 8039 grad_norm: 1.3117 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9273 loss: 2.9273 2022/08/20 10:56:18 - mmengine - INFO - Epoch(train) [89][400/940] lr: 2.9428e-01 eta: 16:40:26 time: 0.3915 data_time: 0.0157 memory: 8039 grad_norm: 1.3357 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8269 loss: 2.8269 2022/08/20 10:56:57 - mmengine - INFO - Epoch(train) [89][500/940] lr: 2.9428e-01 eta: 16:39:50 time: 0.3879 data_time: 0.0147 memory: 8039 grad_norm: 1.2970 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1702 loss: 3.1702 2022/08/20 10:57:35 - mmengine - INFO - Epoch(train) [89][600/940] lr: 2.9428e-01 eta: 16:39:12 time: 0.3937 data_time: 0.0157 memory: 8039 grad_norm: 1.3104 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9839 loss: 2.9839 2022/08/20 10:58:14 - mmengine - INFO - Epoch(train) [89][700/940] lr: 2.9428e-01 eta: 16:38:34 time: 0.3659 data_time: 0.0151 memory: 8039 grad_norm: 1.3092 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4616 loss: 2.4616 2022/08/20 10:58:51 - mmengine - INFO - Epoch(train) [89][800/940] lr: 2.9428e-01 eta: 16:37:55 time: 0.3702 data_time: 0.0147 memory: 8039 grad_norm: 1.3133 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7828 loss: 2.7828 2022/08/20 10:59:30 - mmengine - INFO - Epoch(train) [89][900/940] lr: 2.9428e-01 eta: 16:37:18 time: 0.3700 data_time: 0.0164 memory: 8039 grad_norm: 1.3115 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7642 loss: 2.7642 2022/08/20 10:59:45 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 10:59:45 - mmengine - INFO - Epoch(train) [89][940/940] lr: 2.9428e-01 eta: 16:37:02 time: 0.3677 data_time: 0.0159 memory: 8039 grad_norm: 1.3402 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.9470 loss: 2.9470 2022/08/20 11:00:25 - mmengine - INFO - Epoch(train) [90][100/940] lr: 2.9211e-01 eta: 16:36:27 time: 0.3677 data_time: 0.0156 memory: 8039 grad_norm: 1.3126 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8431 loss: 2.8431 2022/08/20 11:01:03 - mmengine - INFO - Epoch(train) [90][200/940] lr: 2.9211e-01 eta: 16:35:48 time: 0.3664 data_time: 0.0148 memory: 8039 grad_norm: 1.3243 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7461 loss: 2.7461 2022/08/20 11:01:41 - mmengine - INFO - Epoch(train) [90][300/940] lr: 2.9211e-01 eta: 16:35:10 time: 0.3674 data_time: 0.0160 memory: 8039 grad_norm: 1.3290 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9581 loss: 2.9581 2022/08/20 11:01:56 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 11:02:18 - mmengine - INFO - Epoch(train) [90][400/940] lr: 2.9211e-01 eta: 16:34:30 time: 0.3737 data_time: 0.0159 memory: 8039 grad_norm: 1.3178 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9712 loss: 2.9712 2022/08/20 11:02:56 - mmengine - INFO - Epoch(train) [90][500/940] lr: 2.9211e-01 eta: 16:33:52 time: 0.3935 data_time: 0.0156 memory: 8039 grad_norm: 1.3436 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0624 loss: 3.0624 2022/08/20 11:03:34 - mmengine - INFO - Epoch(train) [90][600/940] lr: 2.9211e-01 eta: 16:33:13 time: 0.3779 data_time: 0.0158 memory: 8039 grad_norm: 1.3275 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7399 loss: 2.7399 2022/08/20 11:04:11 - mmengine - INFO - Epoch(train) [90][700/940] lr: 2.9211e-01 eta: 16:32:33 time: 0.3683 data_time: 0.0150 memory: 8039 grad_norm: 1.3009 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8671 loss: 2.8671 2022/08/20 11:04:49 - mmengine - INFO - Epoch(train) [90][800/940] lr: 2.9211e-01 eta: 16:31:55 time: 0.3668 data_time: 0.0156 memory: 8039 grad_norm: 1.3009 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0650 loss: 3.0650 2022/08/20 11:05:27 - mmengine - INFO - Epoch(train) [90][900/940] lr: 2.9211e-01 eta: 16:31:16 time: 0.3764 data_time: 0.0149 memory: 8039 grad_norm: 1.3184 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7419 loss: 2.7419 2022/08/20 11:05:42 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 11:05:42 - mmengine - INFO - Epoch(train) [90][940/940] lr: 2.9211e-01 eta: 16:31:01 time: 0.3574 data_time: 0.0143 memory: 8039 grad_norm: 1.3450 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.1679 loss: 3.1679 2022/08/20 11:06:02 - mmengine - INFO - Epoch(val) [90][78/78] acc/top1: 0.3784 acc/top5: 0.6600 acc/mean1: 0.3782 2022/08/20 11:06:42 - mmengine - INFO - Epoch(train) [91][100/940] lr: 2.8992e-01 eta: 16:30:25 time: 0.3651 data_time: 0.0144 memory: 8039 grad_norm: 1.3339 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7944 loss: 2.7944 2022/08/20 11:07:20 - mmengine - INFO - Epoch(train) [91][200/940] lr: 2.8992e-01 eta: 16:29:47 time: 0.3993 data_time: 0.0160 memory: 8039 grad_norm: 1.3325 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0645 loss: 3.0645 2022/08/20 11:07:58 - mmengine - INFO - Epoch(train) [91][300/940] lr: 2.8992e-01 eta: 16:29:09 time: 0.4015 data_time: 0.0153 memory: 8039 grad_norm: 1.2952 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.9299 loss: 2.9299 2022/08/20 11:08:36 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 11:08:36 - mmengine - INFO - Epoch(train) [91][400/940] lr: 2.8992e-01 eta: 16:28:30 time: 0.3845 data_time: 0.0150 memory: 8039 grad_norm: 1.3016 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1610 loss: 3.1610 2022/08/20 11:09:14 - mmengine - INFO - Epoch(train) [91][500/940] lr: 2.8992e-01 eta: 16:27:52 time: 0.3928 data_time: 0.0150 memory: 8039 grad_norm: 1.3063 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6667 loss: 2.6667 2022/08/20 11:09:52 - mmengine - INFO - Epoch(train) [91][600/940] lr: 2.8992e-01 eta: 16:27:13 time: 0.3696 data_time: 0.0151 memory: 8039 grad_norm: 1.3326 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5540 loss: 2.5540 2022/08/20 11:10:30 - mmengine - INFO - Epoch(train) [91][700/940] lr: 2.8992e-01 eta: 16:26:35 time: 0.3847 data_time: 0.0162 memory: 8039 grad_norm: 1.3272 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3134 loss: 3.3134 2022/08/20 11:11:07 - mmengine - INFO - Epoch(train) [91][800/940] lr: 2.8992e-01 eta: 16:25:55 time: 0.3763 data_time: 0.0164 memory: 8039 grad_norm: 1.3172 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8129 loss: 2.8129 2022/08/20 11:11:45 - mmengine - INFO - Epoch(train) [91][900/940] lr: 2.8992e-01 eta: 16:25:16 time: 0.3794 data_time: 0.0147 memory: 8039 grad_norm: 1.3387 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1058 loss: 3.1058 2022/08/20 11:12:00 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 11:12:00 - mmengine - INFO - Epoch(train) [91][940/940] lr: 2.8992e-01 eta: 16:25:00 time: 0.3730 data_time: 0.0142 memory: 8039 grad_norm: 1.3568 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.1010 loss: 3.1010 2022/08/20 11:12:40 - mmengine - INFO - Epoch(train) [92][100/940] lr: 2.8772e-01 eta: 16:24:26 time: 0.3858 data_time: 0.0166 memory: 8039 grad_norm: 1.3252 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2521 loss: 3.2521 2022/08/20 11:13:18 - mmengine - INFO - Epoch(train) [92][200/940] lr: 2.8772e-01 eta: 16:23:47 time: 0.3713 data_time: 0.0154 memory: 8039 grad_norm: 1.3241 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9152 loss: 2.9152 2022/08/20 11:13:55 - mmengine - INFO - Epoch(train) [92][300/940] lr: 2.8772e-01 eta: 16:23:08 time: 0.3692 data_time: 0.0151 memory: 8039 grad_norm: 1.3295 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8757 loss: 2.8757 2022/08/20 11:14:34 - mmengine - INFO - Epoch(train) [92][400/940] lr: 2.8772e-01 eta: 16:22:31 time: 0.3685 data_time: 0.0165 memory: 8039 grad_norm: 1.3045 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8420 loss: 2.8420 2022/08/20 11:14:57 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 11:15:12 - mmengine - INFO - Epoch(train) [92][500/940] lr: 2.8772e-01 eta: 16:21:52 time: 0.3657 data_time: 0.0163 memory: 8039 grad_norm: 1.3194 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6631 loss: 2.6631 2022/08/20 11:15:50 - mmengine - INFO - Epoch(train) [92][600/940] lr: 2.8772e-01 eta: 16:21:14 time: 0.3817 data_time: 0.0156 memory: 8039 grad_norm: 1.3253 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1792 loss: 3.1792 2022/08/20 11:16:28 - mmengine - INFO - Epoch(train) [92][700/940] lr: 2.8772e-01 eta: 16:20:35 time: 0.3643 data_time: 0.0148 memory: 8039 grad_norm: 1.3400 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.7623 loss: 2.7623 2022/08/20 11:17:06 - mmengine - INFO - Epoch(train) [92][800/940] lr: 2.8772e-01 eta: 16:19:57 time: 0.3856 data_time: 0.0158 memory: 8039 grad_norm: 1.3322 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2302 loss: 3.2302 2022/08/20 11:17:43 - mmengine - INFO - Epoch(train) [92][900/940] lr: 2.8772e-01 eta: 16:19:17 time: 0.3673 data_time: 0.0157 memory: 8039 grad_norm: 1.3261 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0917 loss: 3.0917 2022/08/20 11:17:58 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 11:17:58 - mmengine - INFO - Epoch(train) [92][940/940] lr: 2.8772e-01 eta: 16:19:01 time: 0.3558 data_time: 0.0134 memory: 8039 grad_norm: 1.3797 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 2.9470 loss: 2.9470 2022/08/20 11:17:58 - mmengine - INFO - Saving checkpoint at 92 epochs 2022/08/20 11:18:41 - mmengine - INFO - Epoch(train) [93][100/940] lr: 2.8551e-01 eta: 16:18:24 time: 0.3725 data_time: 0.0157 memory: 8039 grad_norm: 1.3072 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9281 loss: 2.9281 2022/08/20 11:19:19 - mmengine - INFO - Epoch(train) [93][200/940] lr: 2.8551e-01 eta: 16:17:46 time: 0.3694 data_time: 0.0156 memory: 8039 grad_norm: 1.3181 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7773 loss: 2.7773 2022/08/20 11:19:56 - mmengine - INFO - Epoch(train) [93][300/940] lr: 2.8551e-01 eta: 16:17:06 time: 0.3688 data_time: 0.0167 memory: 8039 grad_norm: 1.3131 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0266 loss: 3.0266 2022/08/20 11:20:34 - mmengine - INFO - Epoch(train) [93][400/940] lr: 2.8551e-01 eta: 16:16:28 time: 0.3688 data_time: 0.0149 memory: 8039 grad_norm: 1.3484 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9290 loss: 2.9290 2022/08/20 11:21:12 - mmengine - INFO - Epoch(train) [93][500/940] lr: 2.8551e-01 eta: 16:15:49 time: 0.3709 data_time: 0.0144 memory: 8039 grad_norm: 1.3235 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8594 loss: 2.8594 2022/08/20 11:21:19 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 11:21:49 - mmengine - INFO - Epoch(train) [93][600/940] lr: 2.8551e-01 eta: 16:15:10 time: 0.3684 data_time: 0.0151 memory: 8039 grad_norm: 1.3433 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1443 loss: 3.1443 2022/08/20 11:22:27 - mmengine - INFO - Epoch(train) [93][700/940] lr: 2.8551e-01 eta: 16:14:32 time: 0.3772 data_time: 0.0153 memory: 8039 grad_norm: 1.3586 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0586 loss: 3.0586 2022/08/20 11:23:04 - mmengine - INFO - Epoch(train) [93][800/940] lr: 2.8551e-01 eta: 16:13:51 time: 0.3638 data_time: 0.0156 memory: 8039 grad_norm: 1.3463 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1311 loss: 3.1311 2022/08/20 11:23:41 - mmengine - INFO - Epoch(train) [93][900/940] lr: 2.8551e-01 eta: 16:13:11 time: 0.3730 data_time: 0.0167 memory: 8039 grad_norm: 1.3226 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0598 loss: 3.0598 2022/08/20 11:23:56 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 11:23:56 - mmengine - INFO - Epoch(train) [93][940/940] lr: 2.8551e-01 eta: 16:12:55 time: 0.3697 data_time: 0.0161 memory: 8039 grad_norm: 1.3819 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.2934 loss: 3.2934 2022/08/20 11:24:36 - mmengine - INFO - Epoch(train) [94][100/940] lr: 2.8329e-01 eta: 16:12:21 time: 0.3885 data_time: 0.0177 memory: 8039 grad_norm: 1.3327 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9450 loss: 2.9450 2022/08/20 11:25:13 - mmengine - INFO - Epoch(train) [94][200/940] lr: 2.8329e-01 eta: 16:11:41 time: 0.3690 data_time: 0.0161 memory: 8039 grad_norm: 1.3195 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8628 loss: 2.8628 2022/08/20 11:25:50 - mmengine - INFO - Epoch(train) [94][300/940] lr: 2.8329e-01 eta: 16:11:01 time: 0.3649 data_time: 0.0150 memory: 8039 grad_norm: 1.3242 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0147 loss: 3.0147 2022/08/20 11:26:28 - mmengine - INFO - Epoch(train) [94][400/940] lr: 2.8329e-01 eta: 16:10:21 time: 0.3704 data_time: 0.0159 memory: 8039 grad_norm: 1.3177 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0354 loss: 3.0354 2022/08/20 11:27:05 - mmengine - INFO - Epoch(train) [94][500/940] lr: 2.8329e-01 eta: 16:09:42 time: 0.3681 data_time: 0.0154 memory: 8039 grad_norm: 1.3237 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2177 loss: 3.2177 2022/08/20 11:27:36 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 11:27:43 - mmengine - INFO - Epoch(train) [94][600/940] lr: 2.8329e-01 eta: 16:09:04 time: 0.3699 data_time: 0.0174 memory: 8039 grad_norm: 1.3357 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0346 loss: 3.0346 2022/08/20 11:28:21 - mmengine - INFO - Epoch(train) [94][700/940] lr: 2.8329e-01 eta: 16:08:25 time: 0.4016 data_time: 0.0167 memory: 8039 grad_norm: 1.3362 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0691 loss: 3.0691 2022/08/20 11:28:59 - mmengine - INFO - Epoch(train) [94][800/940] lr: 2.8329e-01 eta: 16:07:46 time: 0.3900 data_time: 0.0161 memory: 8039 grad_norm: 1.3210 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8398 loss: 2.8398 2022/08/20 11:29:38 - mmengine - INFO - Epoch(train) [94][900/940] lr: 2.8329e-01 eta: 16:07:10 time: 0.3889 data_time: 0.0164 memory: 8039 grad_norm: 1.3526 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9363 loss: 2.9363 2022/08/20 11:29:53 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 11:29:53 - mmengine - INFO - Epoch(train) [94][940/940] lr: 2.8329e-01 eta: 16:06:54 time: 0.3597 data_time: 0.0176 memory: 8039 grad_norm: 1.3873 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 2.8699 loss: 2.8699 2022/08/20 11:30:32 - mmengine - INFO - Epoch(train) [95][100/940] lr: 2.8105e-01 eta: 16:06:18 time: 0.3836 data_time: 0.0208 memory: 8039 grad_norm: 1.3034 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7962 loss: 2.7962 2022/08/20 11:31:10 - mmengine - INFO - Epoch(train) [95][200/940] lr: 2.8105e-01 eta: 16:05:40 time: 0.3812 data_time: 0.0157 memory: 8039 grad_norm: 1.3275 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1376 loss: 3.1376 2022/08/20 11:31:48 - mmengine - INFO - Epoch(train) [95][300/940] lr: 2.8105e-01 eta: 16:05:01 time: 0.3751 data_time: 0.0148 memory: 8039 grad_norm: 1.3376 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8767 loss: 2.8767 2022/08/20 11:32:27 - mmengine - INFO - Epoch(train) [95][400/940] lr: 2.8105e-01 eta: 16:04:24 time: 0.4296 data_time: 0.0145 memory: 8039 grad_norm: 1.3245 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9422 loss: 2.9422 2022/08/20 11:33:05 - mmengine - INFO - Epoch(train) [95][500/940] lr: 2.8105e-01 eta: 16:03:45 time: 0.3747 data_time: 0.0148 memory: 8039 grad_norm: 1.3109 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7337 loss: 2.7337 2022/08/20 11:33:42 - mmengine - INFO - Epoch(train) [95][600/940] lr: 2.8105e-01 eta: 16:03:06 time: 0.3728 data_time: 0.0161 memory: 8039 grad_norm: 1.3321 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5431 loss: 2.5431 2022/08/20 11:33:57 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 11:34:20 - mmengine - INFO - Epoch(train) [95][700/940] lr: 2.8105e-01 eta: 16:02:28 time: 0.3725 data_time: 0.0154 memory: 8039 grad_norm: 1.3332 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7273 loss: 2.7273 2022/08/20 11:34:58 - mmengine - INFO - Epoch(train) [95][800/940] lr: 2.8105e-01 eta: 16:01:50 time: 0.3690 data_time: 0.0156 memory: 8039 grad_norm: 1.3314 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7248 loss: 2.7248 2022/08/20 11:35:36 - mmengine - INFO - Epoch(train) [95][900/940] lr: 2.8105e-01 eta: 16:01:11 time: 0.3689 data_time: 0.0149 memory: 8039 grad_norm: 1.3266 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7666 loss: 2.7666 2022/08/20 11:35:51 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 11:35:51 - mmengine - INFO - Epoch(train) [95][940/940] lr: 2.8105e-01 eta: 16:00:55 time: 0.3646 data_time: 0.0148 memory: 8039 grad_norm: 1.3542 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9317 loss: 2.9317 2022/08/20 11:36:10 - mmengine - INFO - Epoch(val) [95][78/78] acc/top1: 0.3896 acc/top5: 0.6638 acc/mean1: 0.3895 2022/08/20 11:36:11 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb/best_acc/top1_epoch_81.pth is removed 2022/08/20 11:36:13 - mmengine - INFO - The best checkpoint with 0.3896 acc/top1 at 96 epoch is saved to best_acc/top1_epoch_96.pth. 2022/08/20 11:36:52 - mmengine - INFO - Epoch(train) [96][100/940] lr: 2.7880e-01 eta: 16:00:17 time: 0.3754 data_time: 0.0155 memory: 8039 grad_norm: 1.3227 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8798 loss: 2.8798 2022/08/20 11:37:29 - mmengine - INFO - Epoch(train) [96][200/940] lr: 2.7880e-01 eta: 15:59:38 time: 0.3821 data_time: 0.0178 memory: 8039 grad_norm: 1.3561 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8470 loss: 2.8470 2022/08/20 11:38:06 - mmengine - INFO - Epoch(train) [96][300/940] lr: 2.7880e-01 eta: 15:58:57 time: 0.3651 data_time: 0.0154 memory: 8039 grad_norm: 1.3248 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0921 loss: 3.0921 2022/08/20 11:38:44 - mmengine - INFO - Epoch(train) [96][400/940] lr: 2.7880e-01 eta: 15:58:19 time: 0.3693 data_time: 0.0151 memory: 8039 grad_norm: 1.3142 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0601 loss: 3.0601 2022/08/20 11:39:22 - mmengine - INFO - Epoch(train) [96][500/940] lr: 2.7880e-01 eta: 15:57:41 time: 0.3783 data_time: 0.0155 memory: 8039 grad_norm: 1.3246 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7846 loss: 2.7846 2022/08/20 11:40:00 - mmengine - INFO - Epoch(train) [96][600/940] lr: 2.7880e-01 eta: 15:57:04 time: 0.3789 data_time: 0.0153 memory: 8039 grad_norm: 1.3450 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6043 loss: 2.6043 2022/08/20 11:40:38 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 11:40:38 - mmengine - INFO - Epoch(train) [96][700/940] lr: 2.7880e-01 eta: 15:56:25 time: 0.3750 data_time: 0.0153 memory: 8039 grad_norm: 1.3171 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7731 loss: 2.7731 2022/08/20 11:41:16 - mmengine - INFO - Epoch(train) [96][800/940] lr: 2.7880e-01 eta: 15:55:46 time: 0.3695 data_time: 0.0163 memory: 8039 grad_norm: 1.3263 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8580 loss: 2.8580 2022/08/20 11:41:54 - mmengine - INFO - Epoch(train) [96][900/940] lr: 2.7880e-01 eta: 15:55:08 time: 0.3993 data_time: 0.0146 memory: 8039 grad_norm: 1.3470 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8669 loss: 2.8669 2022/08/20 11:42:09 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 11:42:09 - mmengine - INFO - Epoch(train) [96][940/940] lr: 2.7880e-01 eta: 15:54:52 time: 0.3778 data_time: 0.0154 memory: 8039 grad_norm: 1.3639 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 3.2020 loss: 3.2020 2022/08/20 11:42:09 - mmengine - INFO - Saving checkpoint at 96 epochs 2022/08/20 11:42:53 - mmengine - INFO - Epoch(train) [97][100/940] lr: 2.7654e-01 eta: 15:54:15 time: 0.3678 data_time: 0.0165 memory: 8039 grad_norm: 1.3403 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0418 loss: 3.0418 2022/08/20 11:43:31 - mmengine - INFO - Epoch(train) [97][200/940] lr: 2.7654e-01 eta: 15:53:38 time: 0.3729 data_time: 0.0150 memory: 8039 grad_norm: 1.3470 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2939 loss: 3.2939 2022/08/20 11:44:10 - mmengine - INFO - Epoch(train) [97][300/940] lr: 2.7654e-01 eta: 15:53:02 time: 0.4166 data_time: 0.0154 memory: 8039 grad_norm: 1.3466 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6201 loss: 2.6201 2022/08/20 11:44:49 - mmengine - INFO - Epoch(train) [97][400/940] lr: 2.7654e-01 eta: 15:52:24 time: 0.4133 data_time: 0.0143 memory: 8039 grad_norm: 1.3509 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6985 loss: 2.6985 2022/08/20 11:45:26 - mmengine - INFO - Epoch(train) [97][500/940] lr: 2.7654e-01 eta: 15:51:44 time: 0.3737 data_time: 0.0154 memory: 8039 grad_norm: 1.3417 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.2846 loss: 3.2846 2022/08/20 11:46:04 - mmengine - INFO - Epoch(train) [97][600/940] lr: 2.7654e-01 eta: 15:51:06 time: 0.3707 data_time: 0.0158 memory: 8039 grad_norm: 1.3387 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0219 loss: 3.0219 2022/08/20 11:46:42 - mmengine - INFO - Epoch(train) [97][700/940] lr: 2.7654e-01 eta: 15:50:28 time: 0.3701 data_time: 0.0164 memory: 8039 grad_norm: 1.3348 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9185 loss: 2.9185 2022/08/20 11:47:06 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 11:47:21 - mmengine - INFO - Epoch(train) [97][800/940] lr: 2.7654e-01 eta: 15:49:52 time: 0.4214 data_time: 0.0163 memory: 8039 grad_norm: 1.3677 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7053 loss: 2.7053 2022/08/20 11:47:59 - mmengine - INFO - Epoch(train) [97][900/940] lr: 2.7654e-01 eta: 15:49:13 time: 0.4086 data_time: 0.0163 memory: 8039 grad_norm: 1.3526 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0061 loss: 3.0061 2022/08/20 11:48:14 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 11:48:14 - mmengine - INFO - Epoch(train) [97][940/940] lr: 2.7654e-01 eta: 15:48:57 time: 0.3531 data_time: 0.0144 memory: 8039 grad_norm: 1.3718 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9750 loss: 2.9750 2022/08/20 11:48:54 - mmengine - INFO - Epoch(train) [98][100/940] lr: 2.7426e-01 eta: 15:48:21 time: 0.3673 data_time: 0.0148 memory: 8039 grad_norm: 1.3015 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.3117 loss: 3.3117 2022/08/20 11:49:31 - mmengine - INFO - Epoch(train) [98][200/940] lr: 2.7426e-01 eta: 15:47:42 time: 0.3661 data_time: 0.0153 memory: 8039 grad_norm: 1.3336 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9416 loss: 2.9416 2022/08/20 11:50:09 - mmengine - INFO - Epoch(train) [98][300/940] lr: 2.7426e-01 eta: 15:47:03 time: 0.3654 data_time: 0.0157 memory: 8039 grad_norm: 1.3432 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8362 loss: 2.8362 2022/08/20 11:50:46 - mmengine - INFO - Epoch(train) [98][400/940] lr: 2.7426e-01 eta: 15:46:23 time: 0.3692 data_time: 0.0149 memory: 8039 grad_norm: 1.3518 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6844 loss: 2.6844 2022/08/20 11:51:24 - mmengine - INFO - Epoch(train) [98][500/940] lr: 2.7426e-01 eta: 15:45:46 time: 0.3993 data_time: 0.0154 memory: 8039 grad_norm: 1.3427 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6714 loss: 2.6714 2022/08/20 11:52:02 - mmengine - INFO - Epoch(train) [98][600/940] lr: 2.7426e-01 eta: 15:45:07 time: 0.3699 data_time: 0.0164 memory: 8039 grad_norm: 1.3443 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8689 loss: 2.8689 2022/08/20 11:52:39 - mmengine - INFO - Epoch(train) [98][700/940] lr: 2.7426e-01 eta: 15:44:27 time: 0.3700 data_time: 0.0164 memory: 8039 grad_norm: 1.3303 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.1889 loss: 3.1889 2022/08/20 11:53:16 - mmengine - INFO - Epoch(train) [98][800/940] lr: 2.7426e-01 eta: 15:43:47 time: 0.3601 data_time: 0.0146 memory: 8039 grad_norm: 1.3445 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9649 loss: 2.9649 2022/08/20 11:53:25 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 11:53:56 - mmengine - INFO - Epoch(train) [98][900/940] lr: 2.7426e-01 eta: 15:43:12 time: 0.4074 data_time: 0.0150 memory: 8039 grad_norm: 1.3657 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8415 loss: 2.8415 2022/08/20 11:55:04 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 11:55:04 - mmengine - INFO - Epoch(train) [98][940/940] lr: 2.7426e-01 eta: 15:44:22 time: 0.8204 data_time: 0.0644 memory: 8039 grad_norm: 1.3900 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.1772 loss: 3.1772 2022/08/20 11:55:46 - mmengine - INFO - Epoch(train) [99][100/940] lr: 2.7198e-01 eta: 15:43:49 time: 0.3681 data_time: 0.0161 memory: 8039 grad_norm: 1.3597 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8616 loss: 2.8616 2022/08/20 11:56:23 - mmengine - INFO - Epoch(train) [99][200/940] lr: 2.7198e-01 eta: 15:43:10 time: 0.3790 data_time: 0.0157 memory: 8039 grad_norm: 1.3743 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0612 loss: 3.0612 2022/08/20 11:57:03 - mmengine - INFO - Epoch(train) [99][300/940] lr: 2.7198e-01 eta: 15:42:35 time: 0.5260 data_time: 0.0251 memory: 8039 grad_norm: 1.3759 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0206 loss: 3.0206 2022/08/20 11:57:41 - mmengine - INFO - Epoch(train) [99][400/940] lr: 2.7198e-01 eta: 15:41:57 time: 0.3869 data_time: 0.0156 memory: 8039 grad_norm: 1.3678 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6870 loss: 2.6870 2022/08/20 11:58:20 - mmengine - INFO - Epoch(train) [99][500/940] lr: 2.7198e-01 eta: 15:41:19 time: 0.4002 data_time: 0.0154 memory: 8039 grad_norm: 1.3634 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5640 loss: 2.5640 2022/08/20 11:58:57 - mmengine - INFO - Epoch(train) [99][600/940] lr: 2.7198e-01 eta: 15:40:39 time: 0.3707 data_time: 0.0148 memory: 8039 grad_norm: 1.3627 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0827 loss: 3.0827 2022/08/20 11:59:35 - mmengine - INFO - Epoch(train) [99][700/940] lr: 2.7198e-01 eta: 15:40:00 time: 0.3695 data_time: 0.0156 memory: 8039 grad_norm: 1.3482 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7543 loss: 2.7543 2022/08/20 12:00:19 - mmengine - INFO - Epoch(train) [99][800/940] lr: 2.7198e-01 eta: 15:39:32 time: 0.3912 data_time: 0.0162 memory: 8039 grad_norm: 1.3461 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9751 loss: 2.9751 2022/08/20 12:00:51 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 12:00:58 - mmengine - INFO - Epoch(train) [99][900/940] lr: 2.7198e-01 eta: 15:38:55 time: 0.3712 data_time: 0.0154 memory: 8039 grad_norm: 1.3747 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8461 loss: 2.8461 2022/08/20 12:01:13 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 12:01:13 - mmengine - INFO - Epoch(train) [99][940/940] lr: 2.7198e-01 eta: 15:38:39 time: 0.3589 data_time: 0.0150 memory: 8039 grad_norm: 1.3708 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.1531 loss: 3.1531 2022/08/20 12:01:52 - mmengine - INFO - Epoch(train) [100][100/940] lr: 2.6968e-01 eta: 15:38:02 time: 0.3706 data_time: 0.0152 memory: 8039 grad_norm: 1.3499 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9204 loss: 2.9204 2022/08/20 12:02:30 - mmengine - INFO - Epoch(train) [100][200/940] lr: 2.6968e-01 eta: 15:37:24 time: 0.3697 data_time: 0.0156 memory: 8039 grad_norm: 1.3504 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1019 loss: 3.1019 2022/08/20 12:03:08 - mmengine - INFO - Epoch(train) [100][300/940] lr: 2.6968e-01 eta: 15:36:45 time: 0.3664 data_time: 0.0148 memory: 8039 grad_norm: 1.3605 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9864 loss: 2.9864 2022/08/20 12:03:46 - mmengine - INFO - Epoch(train) [100][400/940] lr: 2.6968e-01 eta: 15:36:07 time: 0.4096 data_time: 0.0153 memory: 8039 grad_norm: 1.3628 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9310 loss: 2.9310 2022/08/20 12:04:25 - mmengine - INFO - Epoch(train) [100][500/940] lr: 2.6968e-01 eta: 15:35:29 time: 0.4019 data_time: 0.0164 memory: 8039 grad_norm: 1.3766 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0311 loss: 3.0311 2022/08/20 12:05:03 - mmengine - INFO - Epoch(train) [100][600/940] lr: 2.6968e-01 eta: 15:34:51 time: 0.3962 data_time: 0.0151 memory: 8039 grad_norm: 1.3779 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5876 loss: 2.5876 2022/08/20 12:05:41 - mmengine - INFO - Epoch(train) [100][700/940] lr: 2.6968e-01 eta: 15:34:12 time: 0.4022 data_time: 0.0159 memory: 8039 grad_norm: 1.3508 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9180 loss: 2.9180 2022/08/20 12:06:18 - mmengine - INFO - Epoch(train) [100][800/940] lr: 2.6968e-01 eta: 15:33:33 time: 0.3702 data_time: 0.0152 memory: 8039 grad_norm: 1.3568 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8757 loss: 2.8757 2022/08/20 12:06:56 - mmengine - INFO - Epoch(train) [100][900/940] lr: 2.6968e-01 eta: 15:32:54 time: 0.3673 data_time: 0.0159 memory: 8039 grad_norm: 1.3626 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7644 loss: 2.7644 2022/08/20 12:07:11 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 12:07:11 - mmengine - INFO - Epoch(train) [100][940/940] lr: 2.6968e-01 eta: 15:32:39 time: 0.3688 data_time: 0.0150 memory: 8039 grad_norm: 1.3977 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.8991 loss: 2.8991 2022/08/20 12:07:11 - mmengine - INFO - Saving checkpoint at 100 epochs 2022/08/20 12:07:33 - mmengine - INFO - Epoch(val) [100][78/78] acc/top1: 0.3746 acc/top5: 0.6502 acc/mean1: 0.3746 2022/08/20 12:08:14 - mmengine - INFO - Epoch(train) [101][100/940] lr: 2.6738e-01 eta: 15:32:04 time: 0.4068 data_time: 0.0166 memory: 8039 grad_norm: 1.3720 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5892 loss: 2.5892 2022/08/20 12:08:53 - mmengine - INFO - Epoch(train) [101][200/940] lr: 2.6738e-01 eta: 15:31:28 time: 0.4285 data_time: 0.0160 memory: 8039 grad_norm: 1.3727 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9144 loss: 2.9144 2022/08/20 12:09:32 - mmengine - INFO - Epoch(train) [101][300/940] lr: 2.6738e-01 eta: 15:30:51 time: 0.4199 data_time: 0.0164 memory: 8039 grad_norm: 1.3632 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6707 loss: 2.6707 2022/08/20 12:10:11 - mmengine - INFO - Epoch(train) [101][400/940] lr: 2.6738e-01 eta: 15:30:13 time: 0.4113 data_time: 0.0164 memory: 8039 grad_norm: 1.3413 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5071 loss: 2.5071 2022/08/20 12:10:49 - mmengine - INFO - Epoch(train) [101][500/940] lr: 2.6738e-01 eta: 15:29:35 time: 0.3873 data_time: 0.0150 memory: 8039 grad_norm: 1.3628 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0074 loss: 3.0074 2022/08/20 12:11:27 - mmengine - INFO - Epoch(train) [101][600/940] lr: 2.6738e-01 eta: 15:28:57 time: 0.3979 data_time: 0.0151 memory: 8039 grad_norm: 1.3432 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6848 loss: 2.6848 2022/08/20 12:12:05 - mmengine - INFO - Epoch(train) [101][700/940] lr: 2.6738e-01 eta: 15:28:19 time: 0.3831 data_time: 0.0156 memory: 8039 grad_norm: 1.3751 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0056 loss: 3.0056 2022/08/20 12:12:44 - mmengine - INFO - Epoch(train) [101][800/940] lr: 2.6738e-01 eta: 15:27:42 time: 0.3863 data_time: 0.0150 memory: 8039 grad_norm: 1.3433 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1728 loss: 3.1728 2022/08/20 12:13:22 - mmengine - INFO - Epoch(train) [101][900/940] lr: 2.6738e-01 eta: 15:27:03 time: 0.3826 data_time: 0.0168 memory: 8039 grad_norm: 1.3566 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0649 loss: 3.0649 2022/08/20 12:13:36 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 12:13:36 - mmengine - INFO - Epoch(train) [101][940/940] lr: 2.6738e-01 eta: 15:26:47 time: 0.3557 data_time: 0.0141 memory: 8039 grad_norm: 1.3608 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.2563 loss: 3.2563 2022/08/20 12:14:02 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 12:14:16 - mmengine - INFO - Epoch(train) [102][100/940] lr: 2.6506e-01 eta: 15:26:11 time: 0.3720 data_time: 0.0154 memory: 8039 grad_norm: 1.3780 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0844 loss: 3.0844 2022/08/20 12:14:54 - mmengine - INFO - Epoch(train) [102][200/940] lr: 2.6506e-01 eta: 15:25:32 time: 0.3687 data_time: 0.0154 memory: 8039 grad_norm: 1.3837 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7774 loss: 2.7774 2022/08/20 12:15:32 - mmengine - INFO - Epoch(train) [102][300/940] lr: 2.6506e-01 eta: 15:24:54 time: 0.3768 data_time: 0.0158 memory: 8039 grad_norm: 1.3670 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9589 loss: 2.9589 2022/08/20 12:16:10 - mmengine - INFO - Epoch(train) [102][400/940] lr: 2.6506e-01 eta: 15:24:16 time: 0.3783 data_time: 0.0168 memory: 8039 grad_norm: 1.3744 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9238 loss: 2.9238 2022/08/20 12:16:48 - mmengine - INFO - Epoch(train) [102][500/940] lr: 2.6506e-01 eta: 15:23:37 time: 0.3719 data_time: 0.0156 memory: 8039 grad_norm: 1.3508 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9169 loss: 2.9169 2022/08/20 12:17:26 - mmengine - INFO - Epoch(train) [102][600/940] lr: 2.6506e-01 eta: 15:22:58 time: 0.3869 data_time: 0.0151 memory: 8039 grad_norm: 1.3613 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.9624 loss: 2.9624 2022/08/20 12:18:04 - mmengine - INFO - Epoch(train) [102][700/940] lr: 2.6506e-01 eta: 15:22:20 time: 0.4008 data_time: 0.0158 memory: 8039 grad_norm: 1.3677 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5586 loss: 2.5586 2022/08/20 12:18:42 - mmengine - INFO - Epoch(train) [102][800/940] lr: 2.6506e-01 eta: 15:21:41 time: 0.3750 data_time: 0.0155 memory: 8039 grad_norm: 1.3538 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6167 loss: 2.6167 2022/08/20 12:19:20 - mmengine - INFO - Epoch(train) [102][900/940] lr: 2.6506e-01 eta: 15:21:03 time: 0.3782 data_time: 0.0147 memory: 8039 grad_norm: 1.3680 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9776 loss: 2.9776 2022/08/20 12:19:35 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 12:19:35 - mmengine - INFO - Epoch(train) [102][940/940] lr: 2.6506e-01 eta: 15:20:47 time: 0.3722 data_time: 0.0161 memory: 8039 grad_norm: 1.3934 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.0446 loss: 3.0446 2022/08/20 12:20:16 - mmengine - INFO - Epoch(train) [103][100/940] lr: 2.6274e-01 eta: 15:20:12 time: 0.4014 data_time: 0.0160 memory: 8039 grad_norm: 1.3912 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8142 loss: 2.8142 2022/08/20 12:20:23 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 12:20:53 - mmengine - INFO - Epoch(train) [103][200/940] lr: 2.6274e-01 eta: 15:19:33 time: 0.3675 data_time: 0.0157 memory: 8039 grad_norm: 1.3622 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.9374 loss: 2.9374 2022/08/20 12:21:31 - mmengine - INFO - Epoch(train) [103][300/940] lr: 2.6274e-01 eta: 15:18:55 time: 0.3664 data_time: 0.0152 memory: 8039 grad_norm: 1.3735 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7536 loss: 2.7536 2022/08/20 12:22:09 - mmengine - INFO - Epoch(train) [103][400/940] lr: 2.6274e-01 eta: 15:18:16 time: 0.3720 data_time: 0.0149 memory: 8039 grad_norm: 1.3708 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8255 loss: 2.8255 2022/08/20 12:23:56 - mmengine - INFO - Epoch(train) [103][500/940] lr: 2.6274e-01 eta: 15:19:20 time: 0.3705 data_time: 0.0157 memory: 8039 grad_norm: 1.3353 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7690 loss: 2.7690 2022/08/20 12:24:33 - mmengine - INFO - Epoch(train) [103][600/940] lr: 2.6274e-01 eta: 15:18:41 time: 0.3691 data_time: 0.0153 memory: 8039 grad_norm: 1.3622 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9425 loss: 2.9425 2022/08/20 12:25:11 - mmengine - INFO - Epoch(train) [103][700/940] lr: 2.6274e-01 eta: 15:18:02 time: 0.3723 data_time: 0.0148 memory: 8039 grad_norm: 1.3654 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9471 loss: 2.9471 2022/08/20 12:25:50 - mmengine - INFO - Epoch(train) [103][800/940] lr: 2.6274e-01 eta: 15:17:25 time: 0.3664 data_time: 0.0177 memory: 8039 grad_norm: 1.3562 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8732 loss: 2.8732 2022/08/20 12:26:37 - mmengine - INFO - Epoch(train) [103][900/940] lr: 2.6274e-01 eta: 15:17:00 time: 0.3912 data_time: 0.0149 memory: 8039 grad_norm: 1.3579 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8499 loss: 2.8499 2022/08/20 12:26:53 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 12:26:53 - mmengine - INFO - Epoch(train) [103][940/940] lr: 2.6274e-01 eta: 15:16:45 time: 0.4086 data_time: 0.0159 memory: 8039 grad_norm: 1.4130 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.0919 loss: 3.0919 2022/08/20 12:27:34 - mmengine - INFO - Epoch(train) [104][100/940] lr: 2.6040e-01 eta: 15:16:11 time: 0.3776 data_time: 0.0159 memory: 8039 grad_norm: 1.3755 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8682 loss: 2.8682 2022/08/20 12:28:04 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 12:28:12 - mmengine - INFO - Epoch(train) [104][200/940] lr: 2.6040e-01 eta: 15:15:32 time: 0.3691 data_time: 0.0167 memory: 8039 grad_norm: 1.3685 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7974 loss: 2.7974 2022/08/20 12:28:50 - mmengine - INFO - Epoch(train) [104][300/940] lr: 2.6040e-01 eta: 15:14:53 time: 0.3689 data_time: 0.0152 memory: 8039 grad_norm: 1.3947 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8952 loss: 2.8952 2022/08/20 12:29:28 - mmengine - INFO - Epoch(train) [104][400/940] lr: 2.6040e-01 eta: 15:14:15 time: 0.3778 data_time: 0.0147 memory: 8039 grad_norm: 1.3976 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6642 loss: 2.6642 2022/08/20 12:30:06 - mmengine - INFO - Epoch(train) [104][500/940] lr: 2.6040e-01 eta: 15:13:37 time: 0.4015 data_time: 0.0153 memory: 8039 grad_norm: 1.3920 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0072 loss: 3.0072 2022/08/20 12:30:44 - mmengine - INFO - Epoch(train) [104][600/940] lr: 2.6040e-01 eta: 15:12:58 time: 0.3850 data_time: 0.0151 memory: 8039 grad_norm: 1.3595 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6606 loss: 2.6606 2022/08/20 12:31:21 - mmengine - INFO - Epoch(train) [104][700/940] lr: 2.6040e-01 eta: 15:12:18 time: 0.3789 data_time: 0.0159 memory: 8039 grad_norm: 1.3795 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7177 loss: 2.7177 2022/08/20 12:31:59 - mmengine - INFO - Epoch(train) [104][800/940] lr: 2.6040e-01 eta: 15:11:39 time: 0.3699 data_time: 0.0148 memory: 8039 grad_norm: 1.3752 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8240 loss: 2.8240 2022/08/20 12:32:37 - mmengine - INFO - Epoch(train) [104][900/940] lr: 2.6040e-01 eta: 15:11:00 time: 0.3935 data_time: 0.0173 memory: 8039 grad_norm: 1.3945 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5679 loss: 2.5679 2022/08/20 12:32:52 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 12:32:52 - mmengine - INFO - Epoch(train) [104][940/940] lr: 2.6040e-01 eta: 15:10:44 time: 0.3677 data_time: 0.0151 memory: 8039 grad_norm: 1.4048 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.8578 loss: 2.8578 2022/08/20 12:32:52 - mmengine - INFO - Saving checkpoint at 104 epochs 2022/08/20 12:33:35 - mmengine - INFO - Epoch(train) [105][100/940] lr: 2.5806e-01 eta: 15:10:06 time: 0.3810 data_time: 0.0160 memory: 8039 grad_norm: 1.3844 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.0781 loss: 3.0781 2022/08/20 12:34:13 - mmengine - INFO - Epoch(train) [105][200/940] lr: 2.5806e-01 eta: 15:09:28 time: 0.3909 data_time: 0.0151 memory: 8039 grad_norm: 1.3552 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9670 loss: 2.9670 2022/08/20 12:34:28 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 12:34:51 - mmengine - INFO - Epoch(train) [105][300/940] lr: 2.5806e-01 eta: 15:08:49 time: 0.3652 data_time: 0.0154 memory: 8039 grad_norm: 1.3927 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8976 loss: 2.8976 2022/08/20 12:35:29 - mmengine - INFO - Epoch(train) [105][400/940] lr: 2.5806e-01 eta: 15:08:11 time: 0.3861 data_time: 0.0158 memory: 8039 grad_norm: 1.3731 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9026 loss: 2.9026 2022/08/20 12:36:07 - mmengine - INFO - Epoch(train) [105][500/940] lr: 2.5806e-01 eta: 15:07:32 time: 0.3981 data_time: 0.0153 memory: 8039 grad_norm: 1.3843 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.8819 loss: 2.8819 2022/08/20 12:36:46 - mmengine - INFO - Epoch(train) [105][600/940] lr: 2.5806e-01 eta: 15:06:54 time: 0.4030 data_time: 0.0170 memory: 8039 grad_norm: 1.3696 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0659 loss: 3.0659 2022/08/20 12:37:23 - mmengine - INFO - Epoch(train) [105][700/940] lr: 2.5806e-01 eta: 15:06:15 time: 0.3933 data_time: 0.0160 memory: 8039 grad_norm: 1.3816 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9179 loss: 2.9179 2022/08/20 12:38:01 - mmengine - INFO - Epoch(train) [105][800/940] lr: 2.5806e-01 eta: 15:05:36 time: 0.3683 data_time: 0.0152 memory: 8039 grad_norm: 1.3821 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0716 loss: 3.0716 2022/08/20 12:38:39 - mmengine - INFO - Epoch(train) [105][900/940] lr: 2.5806e-01 eta: 15:04:58 time: 0.3813 data_time: 0.0151 memory: 8039 grad_norm: 1.3909 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 2.8103 loss: 2.8103 2022/08/20 12:38:55 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 12:38:55 - mmengine - INFO - Epoch(train) [105][940/940] lr: 2.5806e-01 eta: 15:04:44 time: 0.4171 data_time: 0.0160 memory: 8039 grad_norm: 1.3909 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6507 loss: 2.6507 2022/08/20 12:39:16 - mmengine - INFO - Epoch(val) [105][78/78] acc/top1: 0.3995 acc/top5: 0.6823 acc/mean1: 0.3992 2022/08/20 12:39:16 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb/best_acc/top1_epoch_96.pth is removed 2022/08/20 12:39:19 - mmengine - INFO - The best checkpoint with 0.3995 acc/top1 at 106 epoch is saved to best_acc/top1_epoch_106.pth. 2022/08/20 12:39:57 - mmengine - INFO - Epoch(train) [106][100/940] lr: 2.5570e-01 eta: 15:04:06 time: 0.3732 data_time: 0.0170 memory: 8039 grad_norm: 1.3752 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.8773 loss: 2.8773 2022/08/20 12:40:36 - mmengine - INFO - Epoch(train) [106][200/940] lr: 2.5570e-01 eta: 15:03:28 time: 0.4299 data_time: 0.0174 memory: 8039 grad_norm: 1.3706 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8089 loss: 2.8089 2022/08/20 12:41:14 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 12:41:14 - mmengine - INFO - Epoch(train) [106][300/940] lr: 2.5570e-01 eta: 15:02:50 time: 0.3970 data_time: 0.0160 memory: 8039 grad_norm: 1.4039 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1370 loss: 3.1370 2022/08/20 12:41:52 - mmengine - INFO - Epoch(train) [106][400/940] lr: 2.5570e-01 eta: 15:02:11 time: 0.3788 data_time: 0.0149 memory: 8039 grad_norm: 1.3796 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7844 loss: 2.7844 2022/08/20 12:42:30 - mmengine - INFO - Epoch(train) [106][500/940] lr: 2.5570e-01 eta: 15:01:32 time: 0.3808 data_time: 0.0161 memory: 8039 grad_norm: 1.4085 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4147 loss: 2.4147 2022/08/20 12:43:08 - mmengine - INFO - Epoch(train) [106][600/940] lr: 2.5570e-01 eta: 15:00:54 time: 0.3958 data_time: 0.0153 memory: 8039 grad_norm: 1.3681 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0274 loss: 3.0274 2022/08/20 12:43:46 - mmengine - INFO - Epoch(train) [106][700/940] lr: 2.5570e-01 eta: 15:00:16 time: 0.4220 data_time: 0.0158 memory: 8039 grad_norm: 1.4179 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0151 loss: 3.0151 2022/08/20 12:44:24 - mmengine - INFO - Epoch(train) [106][800/940] lr: 2.5570e-01 eta: 14:59:37 time: 0.4031 data_time: 0.0154 memory: 8039 grad_norm: 1.3926 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9553 loss: 2.9553 2022/08/20 12:45:03 - mmengine - INFO - Epoch(train) [106][900/940] lr: 2.5570e-01 eta: 14:58:59 time: 0.3898 data_time: 0.0151 memory: 8039 grad_norm: 1.3998 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5932 loss: 2.5932 2022/08/20 12:45:18 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 12:45:18 - mmengine - INFO - Epoch(train) [106][940/940] lr: 2.5570e-01 eta: 14:58:43 time: 0.3607 data_time: 0.0168 memory: 8039 grad_norm: 1.4195 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.8434 loss: 2.8434 2022/08/20 12:45:59 - mmengine - INFO - Epoch(train) [107][100/940] lr: 2.5334e-01 eta: 14:58:09 time: 0.4372 data_time: 0.0160 memory: 8039 grad_norm: 1.3742 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0452 loss: 3.0452 2022/08/20 12:46:37 - mmengine - INFO - Epoch(train) [107][200/940] lr: 2.5334e-01 eta: 14:57:31 time: 0.3811 data_time: 0.0159 memory: 8039 grad_norm: 1.3831 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5926 loss: 2.5926 2022/08/20 12:47:15 - mmengine - INFO - Epoch(train) [107][300/940] lr: 2.5334e-01 eta: 14:56:52 time: 0.3699 data_time: 0.0168 memory: 8039 grad_norm: 1.3876 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1858 loss: 3.1858 2022/08/20 12:47:38 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 12:47:54 - mmengine - INFO - Epoch(train) [107][400/940] lr: 2.5334e-01 eta: 14:56:14 time: 0.3839 data_time: 0.0174 memory: 8039 grad_norm: 1.3831 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9144 loss: 2.9144 2022/08/20 12:48:32 - mmengine - INFO - Epoch(train) [107][500/940] lr: 2.5334e-01 eta: 14:55:36 time: 0.3664 data_time: 0.0145 memory: 8039 grad_norm: 1.3874 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.6189 loss: 2.6189 2022/08/20 12:49:10 - mmengine - INFO - Epoch(train) [107][600/940] lr: 2.5334e-01 eta: 14:54:57 time: 0.3951 data_time: 0.0146 memory: 8039 grad_norm: 1.3991 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0065 loss: 3.0065 2022/08/20 12:49:49 - mmengine - INFO - Epoch(train) [107][700/940] lr: 2.5334e-01 eta: 14:54:20 time: 0.3661 data_time: 0.0154 memory: 8039 grad_norm: 1.3837 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.7763 loss: 2.7763 2022/08/20 12:50:27 - mmengine - INFO - Epoch(train) [107][800/940] lr: 2.5334e-01 eta: 14:53:42 time: 0.3688 data_time: 0.0156 memory: 8039 grad_norm: 1.3792 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0167 loss: 3.0167 2022/08/20 12:51:06 - mmengine - INFO - Epoch(train) [107][900/940] lr: 2.5334e-01 eta: 14:53:04 time: 0.3747 data_time: 0.0155 memory: 8039 grad_norm: 1.3646 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8504 loss: 2.8504 2022/08/20 12:51:21 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 12:51:21 - mmengine - INFO - Epoch(train) [107][940/940] lr: 2.5334e-01 eta: 14:52:48 time: 0.3579 data_time: 0.0148 memory: 8039 grad_norm: 1.4256 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.8078 loss: 2.8078 2022/08/20 12:52:00 - mmengine - INFO - Epoch(train) [108][100/940] lr: 2.5097e-01 eta: 14:52:12 time: 0.3688 data_time: 0.0166 memory: 8039 grad_norm: 1.3911 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9985 loss: 2.9985 2022/08/20 12:52:39 - mmengine - INFO - Epoch(train) [108][200/940] lr: 2.5097e-01 eta: 14:51:33 time: 0.3665 data_time: 0.0150 memory: 8039 grad_norm: 1.3639 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.0938 loss: 3.0938 2022/08/20 12:53:17 - mmengine - INFO - Epoch(train) [108][300/940] lr: 2.5097e-01 eta: 14:50:55 time: 0.3672 data_time: 0.0152 memory: 8039 grad_norm: 1.4155 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8796 loss: 2.8796 2022/08/20 12:53:54 - mmengine - INFO - Epoch(train) [108][400/940] lr: 2.5097e-01 eta: 14:50:16 time: 0.3743 data_time: 0.0149 memory: 8039 grad_norm: 1.3769 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9576 loss: 2.9576 2022/08/20 12:54:02 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 12:54:33 - mmengine - INFO - Epoch(train) [108][500/940] lr: 2.5097e-01 eta: 14:49:37 time: 0.3709 data_time: 0.0154 memory: 8039 grad_norm: 1.3796 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7196 loss: 2.7196 2022/08/20 12:55:10 - mmengine - INFO - Epoch(train) [108][600/940] lr: 2.5097e-01 eta: 14:48:59 time: 0.3851 data_time: 0.0164 memory: 8039 grad_norm: 1.3869 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.5883 loss: 2.5883 2022/08/20 12:55:48 - mmengine - INFO - Epoch(train) [108][700/940] lr: 2.5097e-01 eta: 14:48:20 time: 0.3893 data_time: 0.0163 memory: 8039 grad_norm: 1.4260 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0500 loss: 3.0500 2022/08/20 12:56:26 - mmengine - INFO - Epoch(train) [108][800/940] lr: 2.5097e-01 eta: 14:47:41 time: 0.3777 data_time: 0.0167 memory: 8039 grad_norm: 1.3881 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5745 loss: 2.5745 2022/08/20 12:57:05 - mmengine - INFO - Epoch(train) [108][900/940] lr: 2.5097e-01 eta: 14:47:03 time: 0.3904 data_time: 0.0166 memory: 8039 grad_norm: 1.3882 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5867 loss: 2.5867 2022/08/20 12:57:19 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 12:57:19 - mmengine - INFO - Epoch(train) [108][940/940] lr: 2.5097e-01 eta: 14:46:47 time: 0.3578 data_time: 0.0145 memory: 8039 grad_norm: 1.4382 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.8200 loss: 2.8200 2022/08/20 12:57:19 - mmengine - INFO - Saving checkpoint at 108 epochs 2022/08/20 12:58:03 - mmengine - INFO - Epoch(train) [109][100/940] lr: 2.4860e-01 eta: 14:46:10 time: 0.3673 data_time: 0.0151 memory: 8039 grad_norm: 1.4062 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8989 loss: 2.8989 2022/08/20 12:58:40 - mmengine - INFO - Epoch(train) [109][200/940] lr: 2.4860e-01 eta: 14:45:30 time: 0.3709 data_time: 0.0154 memory: 8039 grad_norm: 1.3896 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6182 loss: 2.6182 2022/08/20 12:59:18 - mmengine - INFO - Epoch(train) [109][300/940] lr: 2.4860e-01 eta: 14:44:51 time: 0.3674 data_time: 0.0145 memory: 8039 grad_norm: 1.4120 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6605 loss: 2.6605 2022/08/20 12:59:56 - mmengine - INFO - Epoch(train) [109][400/940] lr: 2.4860e-01 eta: 14:44:13 time: 0.3740 data_time: 0.0147 memory: 8039 grad_norm: 1.4226 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 3.0870 loss: 3.0870 2022/08/20 13:00:28 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 13:00:35 - mmengine - INFO - Epoch(train) [109][500/940] lr: 2.4860e-01 eta: 14:43:36 time: 0.3760 data_time: 0.0181 memory: 8039 grad_norm: 1.3911 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9225 loss: 2.9225 2022/08/20 13:01:13 - mmengine - INFO - Epoch(train) [109][600/940] lr: 2.4860e-01 eta: 14:42:56 time: 0.3677 data_time: 0.0150 memory: 8039 grad_norm: 1.4097 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0789 loss: 3.0789 2022/08/20 13:01:51 - mmengine - INFO - Epoch(train) [109][700/940] lr: 2.4860e-01 eta: 14:42:17 time: 0.3795 data_time: 0.0155 memory: 8039 grad_norm: 1.3760 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1082 loss: 3.1082 2022/08/20 13:02:29 - mmengine - INFO - Epoch(train) [109][800/940] lr: 2.4860e-01 eta: 14:41:39 time: 0.3893 data_time: 0.0151 memory: 8039 grad_norm: 1.4109 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0180 loss: 3.0180 2022/08/20 13:03:07 - mmengine - INFO - Epoch(train) [109][900/940] lr: 2.4860e-01 eta: 14:41:00 time: 0.3928 data_time: 0.0150 memory: 8039 grad_norm: 1.3863 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8426 loss: 2.8426 2022/08/20 13:03:22 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 13:03:22 - mmengine - INFO - Epoch(train) [109][940/940] lr: 2.4860e-01 eta: 14:40:45 time: 0.3902 data_time: 0.0150 memory: 8039 grad_norm: 1.4212 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7681 loss: 2.7681 2022/08/20 13:04:03 - mmengine - INFO - Epoch(train) [110][100/940] lr: 2.4621e-01 eta: 14:40:10 time: 0.3733 data_time: 0.0147 memory: 8039 grad_norm: 1.4250 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.9786 loss: 2.9786 2022/08/20 13:04:41 - mmengine - INFO - Epoch(train) [110][200/940] lr: 2.4621e-01 eta: 14:39:32 time: 0.4143 data_time: 0.0161 memory: 8039 grad_norm: 1.3749 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7978 loss: 2.7978 2022/08/20 13:05:19 - mmengine - INFO - Epoch(train) [110][300/940] lr: 2.4621e-01 eta: 14:38:53 time: 0.4018 data_time: 0.0183 memory: 8039 grad_norm: 1.4020 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5001 loss: 2.5001 2022/08/20 13:05:58 - mmengine - INFO - Epoch(train) [110][400/940] lr: 2.4621e-01 eta: 14:38:16 time: 0.4020 data_time: 0.0155 memory: 8039 grad_norm: 1.4285 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.7857 loss: 2.7857 2022/08/20 13:06:36 - mmengine - INFO - Epoch(train) [110][500/940] lr: 2.4621e-01 eta: 14:37:37 time: 0.3877 data_time: 0.0181 memory: 8039 grad_norm: 1.4068 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9974 loss: 2.9974 2022/08/20 13:06:51 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 13:07:14 - mmengine - INFO - Epoch(train) [110][600/940] lr: 2.4621e-01 eta: 14:36:58 time: 0.3718 data_time: 0.0147 memory: 8039 grad_norm: 1.3975 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9077 loss: 2.9077 2022/08/20 13:07:52 - mmengine - INFO - Epoch(train) [110][700/940] lr: 2.4621e-01 eta: 14:36:19 time: 0.3894 data_time: 0.0156 memory: 8039 grad_norm: 1.4137 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9768 loss: 2.9768 2022/08/20 13:08:30 - mmengine - INFO - Epoch(train) [110][800/940] lr: 2.4621e-01 eta: 14:35:41 time: 0.3955 data_time: 0.0151 memory: 8039 grad_norm: 1.4150 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9362 loss: 2.9362 2022/08/20 13:09:08 - mmengine - INFO - Epoch(train) [110][900/940] lr: 2.4621e-01 eta: 14:35:03 time: 0.3947 data_time: 0.0154 memory: 8039 grad_norm: 1.4228 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8148 loss: 2.8148 2022/08/20 13:09:22 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 13:09:22 - mmengine - INFO - Epoch(train) [110][940/940] lr: 2.4621e-01 eta: 14:34:46 time: 0.3568 data_time: 0.0152 memory: 8039 grad_norm: 1.4337 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8480 loss: 2.8480 2022/08/20 13:09:42 - mmengine - INFO - Epoch(val) [110][78/78] acc/top1: 0.3943 acc/top5: 0.6707 acc/mean1: 0.3941 2022/08/20 13:10:22 - mmengine - INFO - Epoch(train) [111][100/940] lr: 2.4382e-01 eta: 14:34:10 time: 0.3911 data_time: 0.0155 memory: 8039 grad_norm: 1.4103 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8545 loss: 2.8545 2022/08/20 13:10:59 - mmengine - INFO - Epoch(train) [111][200/940] lr: 2.4382e-01 eta: 14:33:31 time: 0.3686 data_time: 0.0147 memory: 8039 grad_norm: 1.4249 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9601 loss: 2.9601 2022/08/20 13:11:37 - mmengine - INFO - Epoch(train) [111][300/940] lr: 2.4382e-01 eta: 14:32:51 time: 0.3741 data_time: 0.0161 memory: 8039 grad_norm: 1.3990 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7758 loss: 2.7758 2022/08/20 13:12:15 - mmengine - INFO - Epoch(train) [111][400/940] lr: 2.4382e-01 eta: 14:32:13 time: 0.3705 data_time: 0.0153 memory: 8039 grad_norm: 1.4133 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1336 loss: 3.1336 2022/08/20 13:12:53 - mmengine - INFO - Epoch(train) [111][500/940] lr: 2.4382e-01 eta: 14:31:34 time: 0.3943 data_time: 0.0155 memory: 8039 grad_norm: 1.4046 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9239 loss: 2.9239 2022/08/20 13:13:31 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 13:13:31 - mmengine - INFO - Epoch(train) [111][600/940] lr: 2.4382e-01 eta: 14:30:55 time: 0.4012 data_time: 0.0162 memory: 8039 grad_norm: 1.4036 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9240 loss: 2.9240 2022/08/20 13:14:08 - mmengine - INFO - Epoch(train) [111][700/940] lr: 2.4382e-01 eta: 14:30:16 time: 0.3785 data_time: 0.0161 memory: 8039 grad_norm: 1.4101 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6258 loss: 2.6258 2022/08/20 13:14:46 - mmengine - INFO - Epoch(train) [111][800/940] lr: 2.4382e-01 eta: 14:29:37 time: 0.3974 data_time: 0.0150 memory: 8039 grad_norm: 1.3860 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6893 loss: 2.6893 2022/08/20 13:15:24 - mmengine - INFO - Epoch(train) [111][900/940] lr: 2.4382e-01 eta: 14:28:59 time: 0.3762 data_time: 0.0145 memory: 8039 grad_norm: 1.3970 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9260 loss: 2.9260 2022/08/20 13:15:40 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 13:15:40 - mmengine - INFO - Epoch(train) [111][940/940] lr: 2.4382e-01 eta: 14:28:44 time: 0.3665 data_time: 0.0151 memory: 8039 grad_norm: 1.4691 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6517 loss: 2.6517 2022/08/20 13:16:20 - mmengine - INFO - Epoch(train) [112][100/940] lr: 2.4142e-01 eta: 14:28:08 time: 0.3804 data_time: 0.0157 memory: 8039 grad_norm: 1.4279 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.9099 loss: 2.9099 2022/08/20 13:16:58 - mmengine - INFO - Epoch(train) [112][200/940] lr: 2.4142e-01 eta: 14:27:30 time: 0.4002 data_time: 0.0161 memory: 8039 grad_norm: 1.4082 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7635 loss: 2.7635 2022/08/20 13:17:37 - mmengine - INFO - Epoch(train) [112][300/940] lr: 2.4142e-01 eta: 14:26:53 time: 0.4132 data_time: 0.0160 memory: 8039 grad_norm: 1.4074 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8167 loss: 2.8167 2022/08/20 13:18:15 - mmengine - INFO - Epoch(train) [112][400/940] lr: 2.4142e-01 eta: 14:26:14 time: 0.3864 data_time: 0.0153 memory: 8039 grad_norm: 1.4087 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8504 loss: 2.8504 2022/08/20 13:18:52 - mmengine - INFO - Epoch(train) [112][500/940] lr: 2.4142e-01 eta: 14:25:34 time: 0.3694 data_time: 0.0149 memory: 8039 grad_norm: 1.4039 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7419 loss: 2.7419 2022/08/20 13:19:31 - mmengine - INFO - Epoch(train) [112][600/940] lr: 2.4142e-01 eta: 14:24:56 time: 0.3888 data_time: 0.0155 memory: 8039 grad_norm: 1.4170 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7879 loss: 2.7879 2022/08/20 13:19:54 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 13:20:09 - mmengine - INFO - Epoch(train) [112][700/940] lr: 2.4142e-01 eta: 14:24:18 time: 0.3897 data_time: 0.0152 memory: 8039 grad_norm: 1.4230 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7880 loss: 2.7880 2022/08/20 13:20:48 - mmengine - INFO - Epoch(train) [112][800/940] lr: 2.4142e-01 eta: 14:23:41 time: 0.3937 data_time: 0.0156 memory: 8039 grad_norm: 1.4115 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9472 loss: 2.9472 2022/08/20 13:21:25 - mmengine - INFO - Epoch(train) [112][900/940] lr: 2.4142e-01 eta: 14:23:01 time: 0.3703 data_time: 0.0152 memory: 8039 grad_norm: 1.4253 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1273 loss: 3.1273 2022/08/20 13:21:41 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 13:21:41 - mmengine - INFO - Epoch(train) [112][940/940] lr: 2.4142e-01 eta: 14:22:46 time: 0.3624 data_time: 0.0155 memory: 8039 grad_norm: 1.4293 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.1039 loss: 3.1039 2022/08/20 13:21:41 - mmengine - INFO - Saving checkpoint at 112 epochs 2022/08/20 13:22:24 - mmengine - INFO - Epoch(train) [113][100/940] lr: 2.3902e-01 eta: 14:22:09 time: 0.3686 data_time: 0.0146 memory: 8039 grad_norm: 1.4083 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8804 loss: 2.8804 2022/08/20 13:23:02 - mmengine - INFO - Epoch(train) [113][200/940] lr: 2.3902e-01 eta: 14:21:31 time: 0.3766 data_time: 0.0165 memory: 8039 grad_norm: 1.4201 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7431 loss: 2.7431 2022/08/20 13:23:40 - mmengine - INFO - Epoch(train) [113][300/940] lr: 2.3902e-01 eta: 14:20:52 time: 0.3863 data_time: 0.0162 memory: 8039 grad_norm: 1.3969 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7850 loss: 2.7850 2022/08/20 13:24:19 - mmengine - INFO - Epoch(train) [113][400/940] lr: 2.3902e-01 eta: 14:20:14 time: 0.3902 data_time: 0.0170 memory: 8039 grad_norm: 1.4056 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6339 loss: 2.6339 2022/08/20 13:24:56 - mmengine - INFO - Epoch(train) [113][500/940] lr: 2.3902e-01 eta: 14:19:35 time: 0.3709 data_time: 0.0148 memory: 8039 grad_norm: 1.4459 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6831 loss: 2.6831 2022/08/20 13:25:34 - mmengine - INFO - Epoch(train) [113][600/940] lr: 2.3902e-01 eta: 14:18:56 time: 0.3686 data_time: 0.0152 memory: 8039 grad_norm: 1.4612 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6294 loss: 2.6294 2022/08/20 13:26:12 - mmengine - INFO - Epoch(train) [113][700/940] lr: 2.3902e-01 eta: 14:18:18 time: 0.4064 data_time: 0.0156 memory: 8039 grad_norm: 1.4125 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8289 loss: 2.8289 2022/08/20 13:26:20 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 13:26:50 - mmengine - INFO - Epoch(train) [113][800/940] lr: 2.3902e-01 eta: 14:17:39 time: 0.3839 data_time: 0.0156 memory: 8039 grad_norm: 1.4307 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9781 loss: 2.9781 2022/08/20 13:27:29 - mmengine - INFO - Epoch(train) [113][900/940] lr: 2.3902e-01 eta: 14:17:01 time: 0.3867 data_time: 0.0156 memory: 8039 grad_norm: 1.4178 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8588 loss: 2.8588 2022/08/20 13:27:43 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 13:27:43 - mmengine - INFO - Epoch(train) [113][940/940] lr: 2.3902e-01 eta: 14:16:45 time: 0.3568 data_time: 0.0156 memory: 8039 grad_norm: 1.4360 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.1461 loss: 3.1461 2022/08/20 13:28:24 - mmengine - INFO - Epoch(train) [114][100/940] lr: 2.3661e-01 eta: 14:16:10 time: 0.4161 data_time: 0.0160 memory: 8039 grad_norm: 1.4411 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0540 loss: 3.0540 2022/08/20 13:29:02 - mmengine - INFO - Epoch(train) [114][200/940] lr: 2.3661e-01 eta: 14:15:31 time: 0.3742 data_time: 0.0160 memory: 8039 grad_norm: 1.4375 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.9715 loss: 2.9715 2022/08/20 13:29:40 - mmengine - INFO - Epoch(train) [114][300/940] lr: 2.3661e-01 eta: 14:14:53 time: 0.3894 data_time: 0.0155 memory: 8039 grad_norm: 1.4256 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8178 loss: 2.8178 2022/08/20 13:30:18 - mmengine - INFO - Epoch(train) [114][400/940] lr: 2.3661e-01 eta: 14:14:14 time: 0.3692 data_time: 0.0154 memory: 8039 grad_norm: 1.4454 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7586 loss: 2.7586 2022/08/20 13:30:56 - mmengine - INFO - Epoch(train) [114][500/940] lr: 2.3661e-01 eta: 14:13:35 time: 0.3670 data_time: 0.0151 memory: 8039 grad_norm: 1.4152 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7857 loss: 2.7857 2022/08/20 13:31:34 - mmengine - INFO - Epoch(train) [114][600/940] lr: 2.3661e-01 eta: 14:12:57 time: 0.3801 data_time: 0.0154 memory: 8039 grad_norm: 1.4106 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6731 loss: 2.6731 2022/08/20 13:32:12 - mmengine - INFO - Epoch(train) [114][700/940] lr: 2.3661e-01 eta: 14:12:17 time: 0.3831 data_time: 0.0153 memory: 8039 grad_norm: 1.4243 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.7991 loss: 2.7991 2022/08/20 13:32:43 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 13:32:50 - mmengine - INFO - Epoch(train) [114][800/940] lr: 2.3661e-01 eta: 14:11:40 time: 0.3670 data_time: 0.0146 memory: 8039 grad_norm: 1.3912 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8879 loss: 2.8879 2022/08/20 13:33:30 - mmengine - INFO - Epoch(train) [114][900/940] lr: 2.3661e-01 eta: 14:11:03 time: 0.3724 data_time: 0.0154 memory: 8039 grad_norm: 1.4235 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6794 loss: 2.6794 2022/08/20 13:33:45 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 13:33:45 - mmengine - INFO - Epoch(train) [114][940/940] lr: 2.3661e-01 eta: 14:10:48 time: 0.3592 data_time: 0.0155 memory: 8039 grad_norm: 1.4325 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.9721 loss: 2.9721 2022/08/20 13:34:25 - mmengine - INFO - Epoch(train) [115][100/940] lr: 2.3419e-01 eta: 14:10:11 time: 0.3730 data_time: 0.0159 memory: 8039 grad_norm: 1.4854 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8144 loss: 2.8144 2022/08/20 13:35:03 - mmengine - INFO - Epoch(train) [115][200/940] lr: 2.3419e-01 eta: 14:09:33 time: 0.3818 data_time: 0.0162 memory: 8039 grad_norm: 1.4562 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6613 loss: 2.6613 2022/08/20 13:35:41 - mmengine - INFO - Epoch(train) [115][300/940] lr: 2.3419e-01 eta: 14:08:54 time: 0.3674 data_time: 0.0159 memory: 8039 grad_norm: 1.4538 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8891 loss: 2.8891 2022/08/20 13:36:19 - mmengine - INFO - Epoch(train) [115][400/940] lr: 2.3419e-01 eta: 14:08:15 time: 0.3677 data_time: 0.0162 memory: 8039 grad_norm: 1.4312 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2119 loss: 3.2119 2022/08/20 13:36:57 - mmengine - INFO - Epoch(train) [115][500/940] lr: 2.3419e-01 eta: 14:07:37 time: 0.3658 data_time: 0.0152 memory: 8039 grad_norm: 1.4150 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8463 loss: 2.8463 2022/08/20 13:37:35 - mmengine - INFO - Epoch(train) [115][600/940] lr: 2.3419e-01 eta: 14:06:58 time: 0.3758 data_time: 0.0153 memory: 8039 grad_norm: 1.4162 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7663 loss: 2.7663 2022/08/20 13:38:13 - mmengine - INFO - Epoch(train) [115][700/940] lr: 2.3419e-01 eta: 14:06:20 time: 0.4033 data_time: 0.0153 memory: 8039 grad_norm: 1.4301 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9810 loss: 2.9810 2022/08/20 13:38:51 - mmengine - INFO - Epoch(train) [115][800/940] lr: 2.3419e-01 eta: 14:05:41 time: 0.3898 data_time: 0.0148 memory: 8039 grad_norm: 1.4385 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8566 loss: 2.8566 2022/08/20 13:39:06 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 13:39:29 - mmengine - INFO - Epoch(train) [115][900/940] lr: 2.3419e-01 eta: 14:05:03 time: 0.3665 data_time: 0.0146 memory: 8039 grad_norm: 1.4364 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7531 loss: 2.7531 2022/08/20 13:39:44 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 13:39:44 - mmengine - INFO - Epoch(train) [115][940/940] lr: 2.3419e-01 eta: 14:04:47 time: 0.3830 data_time: 0.0161 memory: 8039 grad_norm: 1.4637 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.6441 loss: 2.6441 2022/08/20 13:40:04 - mmengine - INFO - Epoch(val) [115][78/78] acc/top1: 0.3463 acc/top5: 0.6017 acc/mean1: 0.3461 2022/08/20 13:40:44 - mmengine - INFO - Epoch(train) [116][100/940] lr: 2.3177e-01 eta: 14:04:11 time: 0.4108 data_time: 0.0162 memory: 8039 grad_norm: 1.4197 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9013 loss: 2.9013 2022/08/20 13:41:23 - mmengine - INFO - Epoch(train) [116][200/940] lr: 2.3177e-01 eta: 14:03:33 time: 0.4127 data_time: 0.0160 memory: 8039 grad_norm: 1.4287 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9092 loss: 2.9092 2022/08/20 13:42:01 - mmengine - INFO - Epoch(train) [116][300/940] lr: 2.3177e-01 eta: 14:02:55 time: 0.3681 data_time: 0.0154 memory: 8039 grad_norm: 1.4280 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5438 loss: 2.5438 2022/08/20 13:42:40 - mmengine - INFO - Epoch(train) [116][400/940] lr: 2.3177e-01 eta: 14:02:17 time: 0.3726 data_time: 0.0161 memory: 8039 grad_norm: 1.4616 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9203 loss: 2.9203 2022/08/20 13:43:18 - mmengine - INFO - Epoch(train) [116][500/940] lr: 2.3177e-01 eta: 14:01:38 time: 0.3668 data_time: 0.0159 memory: 8039 grad_norm: 1.4684 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8893 loss: 2.8893 2022/08/20 13:43:56 - mmengine - INFO - Epoch(train) [116][600/940] lr: 2.3177e-01 eta: 14:01:01 time: 0.4212 data_time: 0.0150 memory: 8039 grad_norm: 1.4454 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7844 loss: 2.7844 2022/08/20 13:44:34 - mmengine - INFO - Epoch(train) [116][700/940] lr: 2.3177e-01 eta: 14:00:22 time: 0.3937 data_time: 0.0154 memory: 8039 grad_norm: 1.4565 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7118 loss: 2.7118 2022/08/20 13:45:13 - mmengine - INFO - Epoch(train) [116][800/940] lr: 2.3177e-01 eta: 13:59:44 time: 0.4006 data_time: 0.0176 memory: 8039 grad_norm: 1.4474 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6381 loss: 2.6381 2022/08/20 13:45:51 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 13:45:51 - mmengine - INFO - Epoch(train) [116][900/940] lr: 2.3177e-01 eta: 13:59:05 time: 0.3914 data_time: 0.0165 memory: 8039 grad_norm: 1.4186 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9305 loss: 2.9305 2022/08/20 13:46:05 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 13:46:05 - mmengine - INFO - Epoch(train) [116][940/940] lr: 2.3177e-01 eta: 13:58:49 time: 0.3534 data_time: 0.0141 memory: 8039 grad_norm: 1.4796 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.8935 loss: 2.8935 2022/08/20 13:46:05 - mmengine - INFO - Saving checkpoint at 116 epochs 2022/08/20 13:46:49 - mmengine - INFO - Epoch(train) [117][100/940] lr: 2.2935e-01 eta: 13:58:12 time: 0.3692 data_time: 0.0150 memory: 8039 grad_norm: 1.4612 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8372 loss: 2.8372 2022/08/20 13:47:27 - mmengine - INFO - Epoch(train) [117][200/940] lr: 2.2935e-01 eta: 13:57:33 time: 0.3668 data_time: 0.0148 memory: 8039 grad_norm: 1.4550 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9320 loss: 2.9320 2022/08/20 13:48:05 - mmengine - INFO - Epoch(train) [117][300/940] lr: 2.2935e-01 eta: 13:56:54 time: 0.3712 data_time: 0.0150 memory: 8039 grad_norm: 1.4573 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7297 loss: 2.7297 2022/08/20 13:48:43 - mmengine - INFO - Epoch(train) [117][400/940] lr: 2.2935e-01 eta: 13:56:16 time: 0.3844 data_time: 0.0153 memory: 8039 grad_norm: 1.4245 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7477 loss: 2.7477 2022/08/20 13:49:21 - mmengine - INFO - Epoch(train) [117][500/940] lr: 2.2935e-01 eta: 13:55:38 time: 0.3882 data_time: 0.0146 memory: 8039 grad_norm: 1.4445 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6189 loss: 2.6189 2022/08/20 13:49:59 - mmengine - INFO - Epoch(train) [117][600/940] lr: 2.2935e-01 eta: 13:55:00 time: 0.3731 data_time: 0.0147 memory: 8039 grad_norm: 1.4571 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0661 loss: 3.0661 2022/08/20 13:50:37 - mmengine - INFO - Epoch(train) [117][700/940] lr: 2.2935e-01 eta: 13:54:21 time: 0.3690 data_time: 0.0152 memory: 8039 grad_norm: 1.4402 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8255 loss: 2.8255 2022/08/20 13:51:15 - mmengine - INFO - Epoch(train) [117][800/940] lr: 2.2935e-01 eta: 13:53:42 time: 0.3704 data_time: 0.0159 memory: 8039 grad_norm: 1.4521 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8835 loss: 2.8835 2022/08/20 13:51:53 - mmengine - INFO - Epoch(train) [117][900/940] lr: 2.2935e-01 eta: 13:53:04 time: 0.3687 data_time: 0.0166 memory: 8039 grad_norm: 1.4385 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1644 loss: 3.1644 2022/08/20 13:52:08 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 13:52:08 - mmengine - INFO - Epoch(train) [117][940/940] lr: 2.2935e-01 eta: 13:52:48 time: 0.3571 data_time: 0.0144 memory: 8039 grad_norm: 1.4662 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1564 loss: 3.1564 2022/08/20 13:52:18 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 13:52:49 - mmengine - INFO - Epoch(train) [118][100/940] lr: 2.2692e-01 eta: 13:52:12 time: 0.3710 data_time: 0.0149 memory: 8039 grad_norm: 1.4530 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6133 loss: 2.6133 2022/08/20 13:53:27 - mmengine - INFO - Epoch(train) [118][200/940] lr: 2.2692e-01 eta: 13:51:34 time: 0.3762 data_time: 0.0154 memory: 8039 grad_norm: 1.4341 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7266 loss: 2.7266 2022/08/20 13:54:05 - mmengine - INFO - Epoch(train) [118][300/940] lr: 2.2692e-01 eta: 13:50:55 time: 0.3919 data_time: 0.0147 memory: 8039 grad_norm: 1.4384 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7160 loss: 2.7160 2022/08/20 13:54:43 - mmengine - INFO - Epoch(train) [118][400/940] lr: 2.2692e-01 eta: 13:50:17 time: 0.3806 data_time: 0.0153 memory: 8039 grad_norm: 1.4618 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7769 loss: 2.7769 2022/08/20 13:55:21 - mmengine - INFO - Epoch(train) [118][500/940] lr: 2.2692e-01 eta: 13:49:38 time: 0.3721 data_time: 0.0160 memory: 8039 grad_norm: 1.4579 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9096 loss: 2.9096 2022/08/20 13:55:58 - mmengine - INFO - Epoch(train) [118][600/940] lr: 2.2692e-01 eta: 13:48:58 time: 0.3728 data_time: 0.0149 memory: 8039 grad_norm: 1.4367 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7648 loss: 2.7648 2022/08/20 13:56:36 - mmengine - INFO - Epoch(train) [118][700/940] lr: 2.2692e-01 eta: 13:48:21 time: 0.3744 data_time: 0.0177 memory: 8039 grad_norm: 1.4526 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5513 loss: 2.5513 2022/08/20 13:57:14 - mmengine - INFO - Epoch(train) [118][800/940] lr: 2.2692e-01 eta: 13:47:41 time: 0.3713 data_time: 0.0157 memory: 8039 grad_norm: 1.4379 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1127 loss: 3.1127 2022/08/20 13:57:51 - mmengine - INFO - Epoch(train) [118][900/940] lr: 2.2692e-01 eta: 13:47:02 time: 0.3714 data_time: 0.0155 memory: 8039 grad_norm: 1.4643 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9014 loss: 2.9014 2022/08/20 13:58:06 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 13:58:06 - mmengine - INFO - Epoch(train) [118][940/940] lr: 2.2692e-01 eta: 13:46:46 time: 0.3600 data_time: 0.0151 memory: 8039 grad_norm: 1.5122 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0812 loss: 3.0812 2022/08/20 13:58:37 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 13:58:45 - mmengine - INFO - Epoch(train) [119][100/940] lr: 2.2448e-01 eta: 13:46:09 time: 0.4034 data_time: 0.0158 memory: 8039 grad_norm: 1.4674 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8494 loss: 2.8494 2022/08/20 13:59:23 - mmengine - INFO - Epoch(train) [119][200/940] lr: 2.2448e-01 eta: 13:45:30 time: 0.3951 data_time: 0.0171 memory: 8039 grad_norm: 1.4471 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8583 loss: 2.8583 2022/08/20 14:00:01 - mmengine - INFO - Epoch(train) [119][300/940] lr: 2.2448e-01 eta: 13:44:52 time: 0.3971 data_time: 0.0161 memory: 8039 grad_norm: 1.4649 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8431 loss: 2.8431 2022/08/20 14:00:39 - mmengine - INFO - Epoch(train) [119][400/940] lr: 2.2448e-01 eta: 13:44:13 time: 0.3700 data_time: 0.0151 memory: 8039 grad_norm: 1.4773 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8386 loss: 2.8386 2022/08/20 14:01:17 - mmengine - INFO - Epoch(train) [119][500/940] lr: 2.2448e-01 eta: 13:43:34 time: 0.3698 data_time: 0.0151 memory: 8039 grad_norm: 1.4722 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8282 loss: 2.8282 2022/08/20 14:01:56 - mmengine - INFO - Epoch(train) [119][600/940] lr: 2.2448e-01 eta: 13:42:57 time: 0.3705 data_time: 0.0150 memory: 8039 grad_norm: 1.4703 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7249 loss: 2.7249 2022/08/20 14:02:34 - mmengine - INFO - Epoch(train) [119][700/940] lr: 2.2448e-01 eta: 13:42:18 time: 0.3791 data_time: 0.0152 memory: 8039 grad_norm: 1.4409 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7753 loss: 2.7753 2022/08/20 14:03:13 - mmengine - INFO - Epoch(train) [119][800/940] lr: 2.2448e-01 eta: 13:41:40 time: 0.3661 data_time: 0.0152 memory: 8039 grad_norm: 1.4510 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8426 loss: 2.8426 2022/08/20 14:03:51 - mmengine - INFO - Epoch(train) [119][900/940] lr: 2.2448e-01 eta: 13:41:02 time: 0.3725 data_time: 0.0154 memory: 8039 grad_norm: 1.4221 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0023 loss: 3.0023 2022/08/20 14:04:06 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 14:04:06 - mmengine - INFO - Epoch(train) [119][940/940] lr: 2.2448e-01 eta: 13:40:47 time: 0.4031 data_time: 0.0152 memory: 8039 grad_norm: 1.4820 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 2.8505 loss: 2.8505 2022/08/20 14:04:47 - mmengine - INFO - Epoch(train) [120][100/940] lr: 2.2204e-01 eta: 13:40:11 time: 0.4086 data_time: 0.0163 memory: 8039 grad_norm: 1.4714 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.4093 loss: 2.4093 2022/08/20 14:05:02 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 14:05:25 - mmengine - INFO - Epoch(train) [120][200/940] lr: 2.2204e-01 eta: 13:39:33 time: 0.4022 data_time: 0.0155 memory: 8039 grad_norm: 1.4657 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9021 loss: 2.9021 2022/08/20 14:06:03 - mmengine - INFO - Epoch(train) [120][300/940] lr: 2.2204e-01 eta: 13:38:55 time: 0.4252 data_time: 0.0156 memory: 8039 grad_norm: 1.4643 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6160 loss: 2.6160 2022/08/20 14:06:42 - mmengine - INFO - Epoch(train) [120][400/940] lr: 2.2204e-01 eta: 13:38:16 time: 0.4037 data_time: 0.0167 memory: 8039 grad_norm: 1.4664 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9636 loss: 2.9636 2022/08/20 14:07:20 - mmengine - INFO - Epoch(train) [120][500/940] lr: 2.2204e-01 eta: 13:37:38 time: 0.3702 data_time: 0.0149 memory: 8039 grad_norm: 1.4524 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6847 loss: 2.6847 2022/08/20 14:07:58 - mmengine - INFO - Epoch(train) [120][600/940] lr: 2.2204e-01 eta: 13:36:59 time: 0.3699 data_time: 0.0149 memory: 8039 grad_norm: 1.4833 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7845 loss: 2.7845 2022/08/20 14:08:36 - mmengine - INFO - Epoch(train) [120][700/940] lr: 2.2204e-01 eta: 13:36:21 time: 0.3730 data_time: 0.0161 memory: 8039 grad_norm: 1.4506 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5957 loss: 2.5957 2022/08/20 14:09:14 - mmengine - INFO - Epoch(train) [120][800/940] lr: 2.2204e-01 eta: 13:35:43 time: 0.3731 data_time: 0.0152 memory: 8039 grad_norm: 1.4374 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7610 loss: 2.7610 2022/08/20 14:09:52 - mmengine - INFO - Epoch(train) [120][900/940] lr: 2.2204e-01 eta: 13:35:04 time: 0.3746 data_time: 0.0159 memory: 8039 grad_norm: 1.4468 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8675 loss: 2.8675 2022/08/20 14:10:07 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 14:10:07 - mmengine - INFO - Epoch(train) [120][940/940] lr: 2.2204e-01 eta: 13:34:49 time: 0.3786 data_time: 0.0151 memory: 8039 grad_norm: 1.5306 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8267 loss: 2.8267 2022/08/20 14:10:07 - mmengine - INFO - Saving checkpoint at 120 epochs 2022/08/20 14:10:29 - mmengine - INFO - Epoch(val) [120][78/78] acc/top1: 0.4098 acc/top5: 0.6899 acc/mean1: 0.4098 2022/08/20 14:10:29 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb/best_acc/top1_epoch_106.pth is removed 2022/08/20 14:10:32 - mmengine - INFO - The best checkpoint with 0.4098 acc/top1 at 121 epoch is saved to best_acc/top1_epoch_121.pth. 2022/08/20 14:11:11 - mmengine - INFO - Epoch(train) [121][100/940] lr: 2.1960e-01 eta: 13:34:12 time: 0.3671 data_time: 0.0155 memory: 8039 grad_norm: 1.4750 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8476 loss: 2.8476 2022/08/20 14:11:49 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 14:11:49 - mmengine - INFO - Epoch(train) [121][200/940] lr: 2.1960e-01 eta: 13:33:33 time: 0.3644 data_time: 0.0148 memory: 8039 grad_norm: 1.4714 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7566 loss: 2.7566 2022/08/20 14:12:28 - mmengine - INFO - Epoch(train) [121][300/940] lr: 2.1960e-01 eta: 13:32:55 time: 0.4047 data_time: 0.0156 memory: 8039 grad_norm: 1.4283 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4927 loss: 2.4927 2022/08/20 14:13:06 - mmengine - INFO - Epoch(train) [121][400/940] lr: 2.1960e-01 eta: 13:32:17 time: 0.4002 data_time: 0.0159 memory: 8039 grad_norm: 1.4657 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8470 loss: 2.8470 2022/08/20 14:13:44 - mmengine - INFO - Epoch(train) [121][500/940] lr: 2.1960e-01 eta: 13:31:38 time: 0.4013 data_time: 0.0168 memory: 8039 grad_norm: 1.4521 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7140 loss: 2.7140 2022/08/20 14:14:22 - mmengine - INFO - Epoch(train) [121][600/940] lr: 2.1960e-01 eta: 13:30:59 time: 0.3844 data_time: 0.0147 memory: 8039 grad_norm: 1.4548 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4271 loss: 2.4271 2022/08/20 14:14:59 - mmengine - INFO - Epoch(train) [121][700/940] lr: 2.1960e-01 eta: 13:30:20 time: 0.3666 data_time: 0.0151 memory: 8039 grad_norm: 1.4941 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6801 loss: 2.6801 2022/08/20 14:15:37 - mmengine - INFO - Epoch(train) [121][800/940] lr: 2.1960e-01 eta: 13:29:41 time: 0.3659 data_time: 0.0152 memory: 8039 grad_norm: 1.4416 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6039 loss: 2.6039 2022/08/20 14:16:17 - mmengine - INFO - Epoch(train) [121][900/940] lr: 2.1960e-01 eta: 13:29:05 time: 0.3723 data_time: 0.0158 memory: 8039 grad_norm: 1.4586 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7970 loss: 2.7970 2022/08/20 14:16:32 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 14:16:32 - mmengine - INFO - Epoch(train) [121][940/940] lr: 2.1960e-01 eta: 13:28:49 time: 0.3642 data_time: 0.0138 memory: 8039 grad_norm: 1.5308 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.1014 loss: 3.1014 2022/08/20 14:17:12 - mmengine - INFO - Epoch(train) [122][100/940] lr: 2.1716e-01 eta: 13:28:13 time: 0.3745 data_time: 0.0158 memory: 8039 grad_norm: 1.4775 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8422 loss: 2.8422 2022/08/20 14:17:49 - mmengine - INFO - Epoch(train) [122][200/940] lr: 2.1716e-01 eta: 13:27:34 time: 0.3660 data_time: 0.0151 memory: 8039 grad_norm: 1.5086 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9898 loss: 2.9898 2022/08/20 14:18:12 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 14:18:28 - mmengine - INFO - Epoch(train) [122][300/940] lr: 2.1716e-01 eta: 13:26:55 time: 0.3898 data_time: 0.0148 memory: 8039 grad_norm: 1.4254 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5315 loss: 2.5315 2022/08/20 14:19:06 - mmengine - INFO - Epoch(train) [122][400/940] lr: 2.1716e-01 eta: 13:26:17 time: 0.3906 data_time: 0.0149 memory: 8039 grad_norm: 1.4512 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7032 loss: 2.7032 2022/08/20 14:19:43 - mmengine - INFO - Epoch(train) [122][500/940] lr: 2.1716e-01 eta: 13:25:38 time: 0.3748 data_time: 0.0159 memory: 8039 grad_norm: 1.4520 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3764 loss: 2.3764 2022/08/20 14:20:21 - mmengine - INFO - Epoch(train) [122][600/940] lr: 2.1716e-01 eta: 13:24:59 time: 0.3720 data_time: 0.0154 memory: 8039 grad_norm: 1.4927 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7968 loss: 2.7968 2022/08/20 14:20:59 - mmengine - INFO - Epoch(train) [122][700/940] lr: 2.1716e-01 eta: 13:24:20 time: 0.3677 data_time: 0.0162 memory: 8039 grad_norm: 1.5001 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6172 loss: 2.6172 2022/08/20 14:21:36 - mmengine - INFO - Epoch(train) [122][800/940] lr: 2.1716e-01 eta: 13:23:41 time: 0.3657 data_time: 0.0155 memory: 8039 grad_norm: 1.4830 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.7867 loss: 2.7867 2022/08/20 14:22:14 - mmengine - INFO - Epoch(train) [122][900/940] lr: 2.1716e-01 eta: 13:23:03 time: 0.3708 data_time: 0.0154 memory: 8039 grad_norm: 1.4803 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5261 loss: 2.5261 2022/08/20 14:22:30 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 14:22:30 - mmengine - INFO - Epoch(train) [122][940/940] lr: 2.1716e-01 eta: 13:22:48 time: 0.4053 data_time: 0.0148 memory: 8039 grad_norm: 1.5079 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.1372 loss: 3.1372 2022/08/20 14:23:10 - mmengine - INFO - Epoch(train) [123][100/940] lr: 2.1471e-01 eta: 13:22:11 time: 0.3837 data_time: 0.0167 memory: 8039 grad_norm: 1.4944 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7953 loss: 2.7953 2022/08/20 14:23:49 - mmengine - INFO - Epoch(train) [123][200/940] lr: 2.1471e-01 eta: 13:21:34 time: 0.4442 data_time: 0.0158 memory: 8039 grad_norm: 1.4712 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9113 loss: 2.9113 2022/08/20 14:24:27 - mmengine - INFO - Epoch(train) [123][300/940] lr: 2.1471e-01 eta: 13:20:55 time: 0.3794 data_time: 0.0160 memory: 8039 grad_norm: 1.4644 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4855 loss: 2.4855 2022/08/20 14:24:34 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 14:25:05 - mmengine - INFO - Epoch(train) [123][400/940] lr: 2.1471e-01 eta: 13:20:17 time: 0.3998 data_time: 0.0156 memory: 8039 grad_norm: 1.4319 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5645 loss: 2.5645 2022/08/20 14:25:43 - mmengine - INFO - Epoch(train) [123][500/940] lr: 2.1471e-01 eta: 13:19:39 time: 0.4056 data_time: 0.0154 memory: 8039 grad_norm: 1.4894 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9557 loss: 2.9557 2022/08/20 14:26:22 - mmengine - INFO - Epoch(train) [123][600/940] lr: 2.1471e-01 eta: 13:19:00 time: 0.3723 data_time: 0.0151 memory: 8039 grad_norm: 1.4466 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6526 loss: 2.6526 2022/08/20 14:27:00 - mmengine - INFO - Epoch(train) [123][700/940] lr: 2.1471e-01 eta: 13:18:22 time: 0.4037 data_time: 0.0161 memory: 8039 grad_norm: 1.4648 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5831 loss: 2.5831 2022/08/20 14:27:38 - mmengine - INFO - Epoch(train) [123][800/940] lr: 2.1471e-01 eta: 13:17:43 time: 0.3899 data_time: 0.0165 memory: 8039 grad_norm: 1.5019 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9687 loss: 2.9687 2022/08/20 14:28:16 - mmengine - INFO - Epoch(train) [123][900/940] lr: 2.1471e-01 eta: 13:17:06 time: 0.3925 data_time: 0.0173 memory: 8039 grad_norm: 1.4586 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.7195 loss: 2.7195 2022/08/20 14:28:31 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 14:28:31 - mmengine - INFO - Epoch(train) [123][940/940] lr: 2.1471e-01 eta: 13:16:50 time: 0.3584 data_time: 0.0139 memory: 8039 grad_norm: 1.5076 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6524 loss: 2.6524 2022/08/20 14:29:10 - mmengine - INFO - Epoch(train) [124][100/940] lr: 2.1226e-01 eta: 13:16:12 time: 0.3671 data_time: 0.0152 memory: 8039 grad_norm: 1.4719 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6940 loss: 2.6940 2022/08/20 14:29:48 - mmengine - INFO - Epoch(train) [124][200/940] lr: 2.1226e-01 eta: 13:15:34 time: 0.3759 data_time: 0.0152 memory: 8039 grad_norm: 1.4789 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5046 loss: 2.5046 2022/08/20 14:30:26 - mmengine - INFO - Epoch(train) [124][300/940] lr: 2.1226e-01 eta: 13:14:55 time: 0.3713 data_time: 0.0150 memory: 8039 grad_norm: 1.4836 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0518 loss: 3.0518 2022/08/20 14:30:57 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 14:31:05 - mmengine - INFO - Epoch(train) [124][400/940] lr: 2.1226e-01 eta: 13:14:17 time: 0.4206 data_time: 0.0157 memory: 8039 grad_norm: 1.5063 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7476 loss: 2.7476 2022/08/20 14:31:43 - mmengine - INFO - Epoch(train) [124][500/940] lr: 2.1226e-01 eta: 13:13:39 time: 0.3709 data_time: 0.0152 memory: 8039 grad_norm: 1.4831 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7727 loss: 2.7727 2022/08/20 14:32:21 - mmengine - INFO - Epoch(train) [124][600/940] lr: 2.1226e-01 eta: 13:13:01 time: 0.3701 data_time: 0.0150 memory: 8039 grad_norm: 1.4833 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6747 loss: 2.6747 2022/08/20 14:32:59 - mmengine - INFO - Epoch(train) [124][700/940] lr: 2.1226e-01 eta: 13:12:22 time: 0.4053 data_time: 0.0154 memory: 8039 grad_norm: 1.5001 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7231 loss: 2.7231 2022/08/20 14:33:38 - mmengine - INFO - Epoch(train) [124][800/940] lr: 2.1226e-01 eta: 13:11:44 time: 0.3997 data_time: 0.0154 memory: 8039 grad_norm: 1.4844 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7129 loss: 2.7129 2022/08/20 14:34:16 - mmengine - INFO - Epoch(train) [124][900/940] lr: 2.1226e-01 eta: 13:11:06 time: 0.3759 data_time: 0.0159 memory: 8039 grad_norm: 1.5003 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0154 loss: 3.0154 2022/08/20 14:34:31 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 14:34:31 - mmengine - INFO - Epoch(train) [124][940/940] lr: 2.1226e-01 eta: 13:10:50 time: 0.3566 data_time: 0.0147 memory: 8039 grad_norm: 1.5240 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.1233 loss: 3.1233 2022/08/20 14:34:31 - mmengine - INFO - Saving checkpoint at 124 epochs 2022/08/20 14:35:15 - mmengine - INFO - Epoch(train) [125][100/940] lr: 2.0981e-01 eta: 13:10:13 time: 0.3884 data_time: 0.0152 memory: 8039 grad_norm: 1.5101 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8039 loss: 2.8039 2022/08/20 14:35:53 - mmengine - INFO - Epoch(train) [125][200/940] lr: 2.0981e-01 eta: 13:09:34 time: 0.3686 data_time: 0.0157 memory: 8039 grad_norm: 1.5204 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1519 loss: 3.1519 2022/08/20 14:36:31 - mmengine - INFO - Epoch(train) [125][300/940] lr: 2.0981e-01 eta: 13:08:56 time: 0.3687 data_time: 0.0151 memory: 8039 grad_norm: 1.4859 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9204 loss: 2.9204 2022/08/20 14:37:10 - mmengine - INFO - Epoch(train) [125][400/940] lr: 2.0981e-01 eta: 13:08:18 time: 0.3836 data_time: 0.0154 memory: 8039 grad_norm: 1.4734 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6865 loss: 2.6865 2022/08/20 14:37:25 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 14:37:48 - mmengine - INFO - Epoch(train) [125][500/940] lr: 2.0981e-01 eta: 13:07:39 time: 0.3970 data_time: 0.0161 memory: 8039 grad_norm: 1.5055 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9097 loss: 2.9097 2022/08/20 14:38:26 - mmengine - INFO - Epoch(train) [125][600/940] lr: 2.0981e-01 eta: 13:07:01 time: 0.3681 data_time: 0.0151 memory: 8039 grad_norm: 1.4784 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6712 loss: 2.6712 2022/08/20 14:39:03 - mmengine - INFO - Epoch(train) [125][700/940] lr: 2.0981e-01 eta: 13:06:22 time: 0.3670 data_time: 0.0154 memory: 8039 grad_norm: 1.4946 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7152 loss: 2.7152 2022/08/20 14:39:41 - mmengine - INFO - Epoch(train) [125][800/940] lr: 2.0981e-01 eta: 13:05:43 time: 0.3676 data_time: 0.0153 memory: 8039 grad_norm: 1.5238 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0297 loss: 3.0297 2022/08/20 14:40:19 - mmengine - INFO - Epoch(train) [125][900/940] lr: 2.0981e-01 eta: 13:05:05 time: 0.3804 data_time: 0.0165 memory: 8039 grad_norm: 1.4943 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5444 loss: 2.5444 2022/08/20 14:40:34 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 14:40:34 - mmengine - INFO - Epoch(train) [125][940/940] lr: 2.0981e-01 eta: 13:04:49 time: 0.3657 data_time: 0.0145 memory: 8039 grad_norm: 1.5201 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 2.7748 loss: 2.7748 2022/08/20 14:40:54 - mmengine - INFO - Epoch(val) [125][78/78] acc/top1: 0.4368 acc/top5: 0.7141 acc/mean1: 0.4367 2022/08/20 14:40:54 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb/best_acc/top1_epoch_121.pth is removed 2022/08/20 14:40:56 - mmengine - INFO - The best checkpoint with 0.4368 acc/top1 at 126 epoch is saved to best_acc/top1_epoch_126.pth. 2022/08/20 14:41:35 - mmengine - INFO - Epoch(train) [126][100/940] lr: 2.0736e-01 eta: 13:04:11 time: 0.3885 data_time: 0.0147 memory: 8039 grad_norm: 1.4923 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5844 loss: 2.5844 2022/08/20 14:42:13 - mmengine - INFO - Epoch(train) [126][200/940] lr: 2.0736e-01 eta: 13:03:32 time: 0.3708 data_time: 0.0157 memory: 8039 grad_norm: 1.4870 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7780 loss: 2.7780 2022/08/20 14:42:51 - mmengine - INFO - Epoch(train) [126][300/940] lr: 2.0736e-01 eta: 13:02:54 time: 0.3992 data_time: 0.0158 memory: 8039 grad_norm: 1.4823 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9664 loss: 2.9664 2022/08/20 14:43:29 - mmengine - INFO - Epoch(train) [126][400/940] lr: 2.0736e-01 eta: 13:02:15 time: 0.3972 data_time: 0.0162 memory: 8039 grad_norm: 1.5088 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.7889 loss: 2.7889 2022/08/20 14:44:09 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 14:44:09 - mmengine - INFO - Epoch(train) [126][500/940] lr: 2.0736e-01 eta: 13:01:39 time: 0.4748 data_time: 0.0152 memory: 8039 grad_norm: 1.5252 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7267 loss: 2.7267 2022/08/20 14:44:48 - mmengine - INFO - Epoch(train) [126][600/940] lr: 2.0736e-01 eta: 13:01:01 time: 0.3667 data_time: 0.0148 memory: 8039 grad_norm: 1.5115 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9400 loss: 2.9400 2022/08/20 14:45:25 - mmengine - INFO - Epoch(train) [126][700/940] lr: 2.0736e-01 eta: 13:00:22 time: 0.3694 data_time: 0.0152 memory: 8039 grad_norm: 1.5098 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6683 loss: 2.6683 2022/08/20 14:46:03 - mmengine - INFO - Epoch(train) [126][800/940] lr: 2.0736e-01 eta: 12:59:43 time: 0.3686 data_time: 0.0146 memory: 8039 grad_norm: 1.5004 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6809 loss: 2.6809 2022/08/20 14:46:40 - mmengine - INFO - Epoch(train) [126][900/940] lr: 2.0736e-01 eta: 12:59:04 time: 0.3873 data_time: 0.0160 memory: 8039 grad_norm: 1.5088 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8788 loss: 2.8788 2022/08/20 14:46:55 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 14:46:55 - mmengine - INFO - Epoch(train) [126][940/940] lr: 2.0736e-01 eta: 12:58:48 time: 0.3730 data_time: 0.0142 memory: 8039 grad_norm: 1.5292 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 2.8512 loss: 2.8512 2022/08/20 14:47:36 - mmengine - INFO - Epoch(train) [127][100/940] lr: 2.0491e-01 eta: 12:58:12 time: 0.3878 data_time: 0.0155 memory: 8039 grad_norm: 1.5202 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9374 loss: 2.9374 2022/08/20 14:48:13 - mmengine - INFO - Epoch(train) [127][200/940] lr: 2.0491e-01 eta: 12:57:33 time: 0.3774 data_time: 0.0149 memory: 8039 grad_norm: 1.5316 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0010 loss: 3.0010 2022/08/20 14:48:51 - mmengine - INFO - Epoch(train) [127][300/940] lr: 2.0491e-01 eta: 12:56:54 time: 0.3709 data_time: 0.0155 memory: 8039 grad_norm: 1.4798 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7635 loss: 2.7635 2022/08/20 14:49:29 - mmengine - INFO - Epoch(train) [127][400/940] lr: 2.0491e-01 eta: 12:56:16 time: 0.3705 data_time: 0.0157 memory: 8039 grad_norm: 1.4883 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0119 loss: 3.0119 2022/08/20 14:50:06 - mmengine - INFO - Epoch(train) [127][500/940] lr: 2.0491e-01 eta: 12:55:37 time: 0.3621 data_time: 0.0156 memory: 8039 grad_norm: 1.5059 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7748 loss: 2.7748 2022/08/20 14:50:29 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 14:50:44 - mmengine - INFO - Epoch(train) [127][600/940] lr: 2.0491e-01 eta: 12:54:58 time: 0.3640 data_time: 0.0147 memory: 8039 grad_norm: 1.5297 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0252 loss: 3.0252 2022/08/20 14:51:22 - mmengine - INFO - Epoch(train) [127][700/940] lr: 2.0491e-01 eta: 12:54:19 time: 0.4008 data_time: 0.0166 memory: 8039 grad_norm: 1.5127 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8249 loss: 2.8249 2022/08/20 14:52:00 - mmengine - INFO - Epoch(train) [127][800/940] lr: 2.0491e-01 eta: 12:53:41 time: 0.3794 data_time: 0.0156 memory: 8039 grad_norm: 1.5350 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7706 loss: 2.7706 2022/08/20 14:52:39 - mmengine - INFO - Epoch(train) [127][900/940] lr: 2.0491e-01 eta: 12:53:04 time: 0.3958 data_time: 0.0155 memory: 8039 grad_norm: 1.4995 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1045 loss: 3.1045 2022/08/20 14:52:54 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 14:52:54 - mmengine - INFO - Epoch(train) [127][940/940] lr: 2.0491e-01 eta: 12:52:48 time: 0.3588 data_time: 0.0150 memory: 8039 grad_norm: 1.5187 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5796 loss: 2.5796 2022/08/20 14:53:34 - mmengine - INFO - Epoch(train) [128][100/940] lr: 2.0245e-01 eta: 12:52:11 time: 0.3701 data_time: 0.0143 memory: 8039 grad_norm: 1.5217 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0198 loss: 3.0198 2022/08/20 14:54:13 - mmengine - INFO - Epoch(train) [128][200/940] lr: 2.0245e-01 eta: 12:51:33 time: 0.3704 data_time: 0.0159 memory: 8039 grad_norm: 1.4952 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9858 loss: 2.9858 2022/08/20 14:54:50 - mmengine - INFO - Epoch(train) [128][300/940] lr: 2.0245e-01 eta: 12:50:55 time: 0.3665 data_time: 0.0161 memory: 8039 grad_norm: 1.5074 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8647 loss: 2.8647 2022/08/20 14:55:28 - mmengine - INFO - Epoch(train) [128][400/940] lr: 2.0245e-01 eta: 12:50:16 time: 0.3739 data_time: 0.0153 memory: 8039 grad_norm: 1.5150 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5772 loss: 2.5772 2022/08/20 14:56:06 - mmengine - INFO - Epoch(train) [128][500/940] lr: 2.0245e-01 eta: 12:49:37 time: 0.3693 data_time: 0.0163 memory: 8039 grad_norm: 1.5261 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6434 loss: 2.6434 2022/08/20 14:56:44 - mmengine - INFO - Epoch(train) [128][600/940] lr: 2.0245e-01 eta: 12:48:58 time: 0.3707 data_time: 0.0151 memory: 8039 grad_norm: 1.4918 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.6823 loss: 2.6823 2022/08/20 14:56:51 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 14:57:22 - mmengine - INFO - Epoch(train) [128][700/940] lr: 2.0245e-01 eta: 12:48:20 time: 0.4037 data_time: 0.0150 memory: 8039 grad_norm: 1.4993 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7171 loss: 2.7171 2022/08/20 14:58:00 - mmengine - INFO - Epoch(train) [128][800/940] lr: 2.0245e-01 eta: 12:47:42 time: 0.3715 data_time: 0.0162 memory: 8039 grad_norm: 1.5143 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4623 loss: 2.4623 2022/08/20 14:58:38 - mmengine - INFO - Epoch(train) [128][900/940] lr: 2.0245e-01 eta: 12:47:03 time: 0.3699 data_time: 0.0163 memory: 8039 grad_norm: 1.4930 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7542 loss: 2.7542 2022/08/20 14:58:53 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 14:58:53 - mmengine - INFO - Epoch(train) [128][940/940] lr: 2.0245e-01 eta: 12:46:48 time: 0.3559 data_time: 0.0142 memory: 8039 grad_norm: 1.5246 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7046 loss: 2.7046 2022/08/20 14:58:53 - mmengine - INFO - Saving checkpoint at 128 epochs 2022/08/20 14:59:37 - mmengine - INFO - Epoch(train) [129][100/940] lr: 2.0000e-01 eta: 12:46:11 time: 0.3657 data_time: 0.0167 memory: 8039 grad_norm: 1.5295 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6979 loss: 2.6979 2022/08/20 15:00:16 - mmengine - INFO - Epoch(train) [129][200/940] lr: 2.0000e-01 eta: 12:45:33 time: 0.3696 data_time: 0.0153 memory: 8039 grad_norm: 1.5162 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8816 loss: 2.8816 2022/08/20 15:00:54 - mmengine - INFO - Epoch(train) [129][300/940] lr: 2.0000e-01 eta: 12:44:55 time: 0.3663 data_time: 0.0157 memory: 8039 grad_norm: 1.5375 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6510 loss: 2.6510 2022/08/20 15:01:33 - mmengine - INFO - Epoch(train) [129][400/940] lr: 2.0000e-01 eta: 12:44:17 time: 0.4085 data_time: 0.0150 memory: 8039 grad_norm: 1.5124 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.6963 loss: 2.6963 2022/08/20 15:02:11 - mmengine - INFO - Epoch(train) [129][500/940] lr: 2.0000e-01 eta: 12:43:39 time: 0.3898 data_time: 0.0155 memory: 8039 grad_norm: 1.5230 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 2.9303 loss: 2.9303 2022/08/20 15:02:50 - mmengine - INFO - Epoch(train) [129][600/940] lr: 2.0000e-01 eta: 12:43:01 time: 0.3955 data_time: 0.0156 memory: 8039 grad_norm: 1.5043 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5618 loss: 2.5618 2022/08/20 15:03:20 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 15:03:28 - mmengine - INFO - Epoch(train) [129][700/940] lr: 2.0000e-01 eta: 12:42:23 time: 0.4076 data_time: 0.0167 memory: 8039 grad_norm: 1.5358 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.7290 loss: 2.7290 2022/08/20 15:04:06 - mmengine - INFO - Epoch(train) [129][800/940] lr: 2.0000e-01 eta: 12:41:44 time: 0.3774 data_time: 0.0154 memory: 8039 grad_norm: 1.5271 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8896 loss: 2.8896 2022/08/20 15:04:44 - mmengine - INFO - Epoch(train) [129][900/940] lr: 2.0000e-01 eta: 12:41:05 time: 0.3685 data_time: 0.0155 memory: 8039 grad_norm: 1.5040 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4869 loss: 2.4869 2022/08/20 15:04:59 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 15:04:59 - mmengine - INFO - Epoch(train) [129][940/940] lr: 2.0000e-01 eta: 12:40:50 time: 0.3776 data_time: 0.0153 memory: 8039 grad_norm: 1.5453 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 2.7300 loss: 2.7300 2022/08/20 15:05:38 - mmengine - INFO - Epoch(train) [130][100/940] lr: 1.9755e-01 eta: 12:40:13 time: 0.3897 data_time: 0.0162 memory: 8039 grad_norm: 1.5363 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6450 loss: 2.6450 2022/08/20 15:06:17 - mmengine - INFO - Epoch(train) [130][200/940] lr: 1.9755e-01 eta: 12:39:35 time: 0.4060 data_time: 0.0159 memory: 8039 grad_norm: 1.5340 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.7593 loss: 2.7593 2022/08/20 15:06:55 - mmengine - INFO - Epoch(train) [130][300/940] lr: 1.9755e-01 eta: 12:38:56 time: 0.3710 data_time: 0.0155 memory: 8039 grad_norm: 1.5409 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5617 loss: 2.5617 2022/08/20 15:07:34 - mmengine - INFO - Epoch(train) [130][400/940] lr: 1.9755e-01 eta: 12:38:19 time: 0.3724 data_time: 0.0154 memory: 8039 grad_norm: 1.5220 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5955 loss: 2.5955 2022/08/20 15:08:12 - mmengine - INFO - Epoch(train) [130][500/940] lr: 1.9755e-01 eta: 12:37:40 time: 0.3690 data_time: 0.0165 memory: 8039 grad_norm: 1.5530 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5132 loss: 2.5132 2022/08/20 15:08:51 - mmengine - INFO - Epoch(train) [130][600/940] lr: 1.9755e-01 eta: 12:37:02 time: 0.3871 data_time: 0.0173 memory: 8039 grad_norm: 1.5544 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8277 loss: 2.8277 2022/08/20 15:09:29 - mmengine - INFO - Epoch(train) [130][700/940] lr: 1.9755e-01 eta: 12:36:24 time: 0.3659 data_time: 0.0163 memory: 8039 grad_norm: 1.5002 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4047 loss: 2.4047 2022/08/20 15:09:44 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 15:10:08 - mmengine - INFO - Epoch(train) [130][800/940] lr: 1.9755e-01 eta: 12:35:46 time: 0.3674 data_time: 0.0152 memory: 8039 grad_norm: 1.5222 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6230 loss: 2.6230 2022/08/20 15:10:46 - mmengine - INFO - Epoch(train) [130][900/940] lr: 1.9755e-01 eta: 12:35:08 time: 0.3689 data_time: 0.0154 memory: 8039 grad_norm: 1.5158 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3668 loss: 2.3668 2022/08/20 15:11:01 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 15:11:01 - mmengine - INFO - Epoch(train) [130][940/940] lr: 1.9755e-01 eta: 12:34:52 time: 0.3914 data_time: 0.0162 memory: 8039 grad_norm: 1.5420 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.9950 loss: 2.9950 2022/08/20 15:11:21 - mmengine - INFO - Epoch(val) [130][78/78] acc/top1: 0.4386 acc/top5: 0.7082 acc/mean1: 0.4384 2022/08/20 15:11:21 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb/best_acc/top1_epoch_126.pth is removed 2022/08/20 15:11:24 - mmengine - INFO - The best checkpoint with 0.4386 acc/top1 at 131 epoch is saved to best_acc/top1_epoch_131.pth. 2022/08/20 15:12:03 - mmengine - INFO - Epoch(train) [131][100/940] lr: 1.9509e-01 eta: 12:34:15 time: 0.3968 data_time: 0.0168 memory: 8039 grad_norm: 1.5327 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6228 loss: 2.6228 2022/08/20 15:12:41 - mmengine - INFO - Epoch(train) [131][200/940] lr: 1.9509e-01 eta: 12:33:37 time: 0.4150 data_time: 0.0169 memory: 8039 grad_norm: 1.5200 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.7930 loss: 2.7930 2022/08/20 15:13:20 - mmengine - INFO - Epoch(train) [131][300/940] lr: 1.9509e-01 eta: 12:32:59 time: 0.4088 data_time: 0.0158 memory: 8039 grad_norm: 1.5390 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5283 loss: 2.5283 2022/08/20 15:13:58 - mmengine - INFO - Epoch(train) [131][400/940] lr: 1.9509e-01 eta: 12:32:20 time: 0.3673 data_time: 0.0152 memory: 8039 grad_norm: 1.5591 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0754 loss: 3.0754 2022/08/20 15:14:36 - mmengine - INFO - Epoch(train) [131][500/940] lr: 1.9509e-01 eta: 12:31:42 time: 0.3697 data_time: 0.0147 memory: 8039 grad_norm: 1.5425 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4383 loss: 2.4383 2022/08/20 15:15:14 - mmengine - INFO - Epoch(train) [131][600/940] lr: 1.9509e-01 eta: 12:31:04 time: 0.3989 data_time: 0.0155 memory: 8039 grad_norm: 1.5409 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.1220 loss: 3.1220 2022/08/20 15:15:53 - mmengine - INFO - Epoch(train) [131][700/940] lr: 1.9509e-01 eta: 12:30:26 time: 0.4028 data_time: 0.0158 memory: 8039 grad_norm: 1.5254 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7283 loss: 2.7283 2022/08/20 15:16:32 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 15:16:32 - mmengine - INFO - Epoch(train) [131][800/940] lr: 1.9509e-01 eta: 12:29:48 time: 0.3947 data_time: 0.0164 memory: 8039 grad_norm: 1.4955 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8859 loss: 2.8859 2022/08/20 15:17:11 - mmengine - INFO - Epoch(train) [131][900/940] lr: 1.9509e-01 eta: 12:29:10 time: 0.4287 data_time: 0.0165 memory: 8039 grad_norm: 1.5149 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.8273 loss: 2.8273 2022/08/20 15:17:25 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 15:17:25 - mmengine - INFO - Epoch(train) [131][940/940] lr: 1.9509e-01 eta: 12:28:54 time: 0.3604 data_time: 0.0145 memory: 8039 grad_norm: 1.5633 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 2.8196 loss: 2.8196 2022/08/20 15:18:06 - mmengine - INFO - Epoch(train) [132][100/940] lr: 1.9264e-01 eta: 12:28:19 time: 0.3668 data_time: 0.0151 memory: 8039 grad_norm: 1.5243 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.7739 loss: 2.7739 2022/08/20 15:18:44 - mmengine - INFO - Epoch(train) [132][200/940] lr: 1.9264e-01 eta: 12:27:40 time: 0.3724 data_time: 0.0163 memory: 8039 grad_norm: 1.5358 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7532 loss: 2.7532 2022/08/20 15:19:23 - mmengine - INFO - Epoch(train) [132][300/940] lr: 1.9264e-01 eta: 12:27:02 time: 0.3907 data_time: 0.0152 memory: 8039 grad_norm: 1.5217 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4916 loss: 2.4916 2022/08/20 15:20:00 - mmengine - INFO - Epoch(train) [132][400/940] lr: 1.9264e-01 eta: 12:26:23 time: 0.3952 data_time: 0.0160 memory: 8039 grad_norm: 1.5461 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9139 loss: 2.9139 2022/08/20 15:20:39 - mmengine - INFO - Epoch(train) [132][500/940] lr: 1.9264e-01 eta: 12:25:45 time: 0.4163 data_time: 0.0154 memory: 8039 grad_norm: 1.5543 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6337 loss: 2.6337 2022/08/20 15:21:17 - mmengine - INFO - Epoch(train) [132][600/940] lr: 1.9264e-01 eta: 12:25:07 time: 0.3754 data_time: 0.0155 memory: 8039 grad_norm: 1.5857 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9979 loss: 2.9979 2022/08/20 15:21:55 - mmengine - INFO - Epoch(train) [132][700/940] lr: 1.9264e-01 eta: 12:24:28 time: 0.3697 data_time: 0.0144 memory: 8039 grad_norm: 1.5774 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5154 loss: 2.5154 2022/08/20 15:22:34 - mmengine - INFO - Epoch(train) [132][800/940] lr: 1.9264e-01 eta: 12:23:51 time: 0.3705 data_time: 0.0163 memory: 8039 grad_norm: 1.5225 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6394 loss: 2.6394 2022/08/20 15:22:57 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 15:23:12 - mmengine - INFO - Epoch(train) [132][900/940] lr: 1.9264e-01 eta: 12:23:13 time: 0.3661 data_time: 0.0169 memory: 8039 grad_norm: 1.5524 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9630 loss: 2.9630 2022/08/20 15:23:27 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 15:23:27 - mmengine - INFO - Epoch(train) [132][940/940] lr: 1.9264e-01 eta: 12:22:57 time: 0.3564 data_time: 0.0136 memory: 8039 grad_norm: 1.5674 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.7874 loss: 2.7874 2022/08/20 15:23:27 - mmengine - INFO - Saving checkpoint at 132 epochs 2022/08/20 15:24:11 - mmengine - INFO - Epoch(train) [133][100/940] lr: 1.9019e-01 eta: 12:22:20 time: 0.3719 data_time: 0.0164 memory: 8039 grad_norm: 1.5800 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6326 loss: 2.6326 2022/08/20 15:24:50 - mmengine - INFO - Epoch(train) [133][200/940] lr: 1.9019e-01 eta: 12:21:42 time: 0.3793 data_time: 0.0163 memory: 8039 grad_norm: 1.5201 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6511 loss: 2.6511 2022/08/20 15:25:27 - mmengine - INFO - Epoch(train) [133][300/940] lr: 1.9019e-01 eta: 12:21:03 time: 0.3853 data_time: 0.0150 memory: 8039 grad_norm: 1.5185 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8521 loss: 2.8521 2022/08/20 15:26:06 - mmengine - INFO - Epoch(train) [133][400/940] lr: 1.9019e-01 eta: 12:20:25 time: 0.4012 data_time: 0.0157 memory: 8039 grad_norm: 1.5426 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3808 loss: 2.3808 2022/08/20 15:26:44 - mmengine - INFO - Epoch(train) [133][500/940] lr: 1.9019e-01 eta: 12:19:47 time: 0.4140 data_time: 0.0161 memory: 8039 grad_norm: 1.5946 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7065 loss: 2.7065 2022/08/20 15:27:23 - mmengine - INFO - Epoch(train) [133][600/940] lr: 1.9019e-01 eta: 12:19:09 time: 0.3931 data_time: 0.0163 memory: 8039 grad_norm: 1.5682 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7611 loss: 2.7611 2022/08/20 15:28:01 - mmengine - INFO - Epoch(train) [133][700/940] lr: 1.9019e-01 eta: 12:18:30 time: 0.3926 data_time: 0.0159 memory: 8039 grad_norm: 1.5305 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6420 loss: 2.6420 2022/08/20 15:28:39 - mmengine - INFO - Epoch(train) [133][800/940] lr: 1.9019e-01 eta: 12:17:52 time: 0.3966 data_time: 0.0168 memory: 8039 grad_norm: 1.5383 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3730 loss: 2.3730 2022/08/20 15:29:17 - mmengine - INFO - Epoch(train) [133][900/940] lr: 1.9019e-01 eta: 12:17:13 time: 0.3679 data_time: 0.0152 memory: 8039 grad_norm: 1.5551 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.4334 loss: 2.4334 2022/08/20 15:29:25 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 15:29:32 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 15:29:32 - mmengine - INFO - Epoch(train) [133][940/940] lr: 1.9019e-01 eta: 12:16:58 time: 0.3611 data_time: 0.0151 memory: 8039 grad_norm: 1.6281 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8990 loss: 2.8990 2022/08/20 15:30:12 - mmengine - INFO - Epoch(train) [134][100/940] lr: 1.8774e-01 eta: 12:16:21 time: 0.3772 data_time: 0.0149 memory: 8039 grad_norm: 1.5527 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6118 loss: 2.6118 2022/08/20 15:30:51 - mmengine - INFO - Epoch(train) [134][200/940] lr: 1.8774e-01 eta: 12:15:43 time: 0.3716 data_time: 0.0150 memory: 8039 grad_norm: 1.5482 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8859 loss: 2.8859 2022/08/20 15:31:29 - mmengine - INFO - Epoch(train) [134][300/940] lr: 1.8774e-01 eta: 12:15:05 time: 0.3650 data_time: 0.0158 memory: 8039 grad_norm: 1.5118 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3730 loss: 2.3730 2022/08/20 15:32:07 - mmengine - INFO - Epoch(train) [134][400/940] lr: 1.8774e-01 eta: 12:14:26 time: 0.3644 data_time: 0.0156 memory: 8039 grad_norm: 1.5492 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.6662 loss: 2.6662 2022/08/20 15:32:45 - mmengine - INFO - Epoch(train) [134][500/940] lr: 1.8774e-01 eta: 12:13:48 time: 0.3944 data_time: 0.0163 memory: 8039 grad_norm: 1.5480 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9192 loss: 2.9192 2022/08/20 15:33:23 - mmengine - INFO - Epoch(train) [134][600/940] lr: 1.8774e-01 eta: 12:13:09 time: 0.3869 data_time: 0.0159 memory: 8039 grad_norm: 1.5351 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8595 loss: 2.8595 2022/08/20 15:34:01 - mmengine - INFO - Epoch(train) [134][700/940] lr: 1.8774e-01 eta: 12:12:31 time: 0.4058 data_time: 0.0169 memory: 8039 grad_norm: 1.5517 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.5071 loss: 2.5071 2022/08/20 15:34:39 - mmengine - INFO - Epoch(train) [134][800/940] lr: 1.8774e-01 eta: 12:11:52 time: 0.3660 data_time: 0.0150 memory: 8039 grad_norm: 1.5661 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6170 loss: 2.6170 2022/08/20 15:35:17 - mmengine - INFO - Epoch(train) [134][900/940] lr: 1.8774e-01 eta: 12:11:14 time: 0.3723 data_time: 0.0154 memory: 8039 grad_norm: 1.5441 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7704 loss: 2.7704 2022/08/20 15:35:32 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 15:35:32 - mmengine - INFO - Epoch(train) [134][940/940] lr: 1.8774e-01 eta: 12:10:59 time: 0.3720 data_time: 0.0149 memory: 8039 grad_norm: 1.5848 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6956 loss: 2.6956 2022/08/20 15:35:50 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 15:36:13 - mmengine - INFO - Epoch(train) [135][100/940] lr: 1.8529e-01 eta: 12:10:22 time: 0.4135 data_time: 0.0157 memory: 8039 grad_norm: 1.5883 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4142 loss: 2.4142 2022/08/20 15:36:51 - mmengine - INFO - Epoch(train) [135][200/940] lr: 1.8529e-01 eta: 12:09:44 time: 0.4128 data_time: 0.0165 memory: 8039 grad_norm: 1.5561 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.7666 loss: 2.7666 2022/08/20 15:37:29 - mmengine - INFO - Epoch(train) [135][300/940] lr: 1.8529e-01 eta: 12:09:05 time: 0.3703 data_time: 0.0152 memory: 8039 grad_norm: 1.5581 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5295 loss: 2.5295 2022/08/20 15:38:07 - mmengine - INFO - Epoch(train) [135][400/940] lr: 1.8529e-01 eta: 12:08:27 time: 0.3655 data_time: 0.0167 memory: 8039 grad_norm: 1.5725 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7753 loss: 2.7753 2022/08/20 15:38:45 - mmengine - INFO - Epoch(train) [135][500/940] lr: 1.8529e-01 eta: 12:07:48 time: 0.3770 data_time: 0.0150 memory: 8039 grad_norm: 1.5702 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 2.7444 loss: 2.7444 2022/08/20 15:39:23 - mmengine - INFO - Epoch(train) [135][600/940] lr: 1.8529e-01 eta: 12:07:10 time: 0.3751 data_time: 0.0153 memory: 8039 grad_norm: 1.5516 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4042 loss: 2.4042 2022/08/20 15:40:01 - mmengine - INFO - Epoch(train) [135][700/940] lr: 1.8529e-01 eta: 12:06:32 time: 0.3689 data_time: 0.0163 memory: 8039 grad_norm: 1.5721 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4218 loss: 2.4218 2022/08/20 15:40:40 - mmengine - INFO - Epoch(train) [135][800/940] lr: 1.8529e-01 eta: 12:05:54 time: 0.3829 data_time: 0.0157 memory: 8039 grad_norm: 1.5751 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9415 loss: 2.9415 2022/08/20 15:41:18 - mmengine - INFO - Epoch(train) [135][900/940] lr: 1.8529e-01 eta: 12:05:15 time: 0.3700 data_time: 0.0155 memory: 8039 grad_norm: 1.5762 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.7835 loss: 2.7835 2022/08/20 15:41:33 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 15:41:33 - mmengine - INFO - Epoch(train) [135][940/940] lr: 1.8529e-01 eta: 12:05:00 time: 0.3589 data_time: 0.0155 memory: 8039 grad_norm: 1.6010 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.5319 loss: 2.5319 2022/08/20 15:41:53 - mmengine - INFO - Epoch(val) [135][78/78] acc/top1: 0.4469 acc/top5: 0.7152 acc/mean1: 0.4468 2022/08/20 15:41:53 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb/best_acc/top1_epoch_131.pth is removed 2022/08/20 15:41:56 - mmengine - INFO - The best checkpoint with 0.4469 acc/top1 at 136 epoch is saved to best_acc/top1_epoch_136.pth. 2022/08/20 15:42:35 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 15:42:35 - mmengine - INFO - Epoch(train) [136][100/940] lr: 1.8284e-01 eta: 12:04:22 time: 0.3724 data_time: 0.0160 memory: 8039 grad_norm: 1.6051 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6374 loss: 2.6374 2022/08/20 15:43:13 - mmengine - INFO - Epoch(train) [136][200/940] lr: 1.8284e-01 eta: 12:03:44 time: 0.3706 data_time: 0.0153 memory: 8039 grad_norm: 1.5734 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6599 loss: 2.6599 2022/08/20 15:43:52 - mmengine - INFO - Epoch(train) [136][300/940] lr: 1.8284e-01 eta: 12:03:06 time: 0.3715 data_time: 0.0151 memory: 8039 grad_norm: 1.5337 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5986 loss: 2.5986 2022/08/20 15:44:33 - mmengine - INFO - Epoch(train) [136][400/940] lr: 1.8284e-01 eta: 12:02:30 time: 0.3762 data_time: 0.0146 memory: 8039 grad_norm: 1.5886 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6415 loss: 2.6415 2022/08/20 15:45:12 - mmengine - INFO - Epoch(train) [136][500/940] lr: 1.8284e-01 eta: 12:01:53 time: 0.3736 data_time: 0.0151 memory: 8039 grad_norm: 1.5872 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8138 loss: 2.8138 2022/08/20 15:45:50 - mmengine - INFO - Epoch(train) [136][600/940] lr: 1.8284e-01 eta: 12:01:15 time: 0.3801 data_time: 0.0146 memory: 8039 grad_norm: 1.5585 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6329 loss: 2.6329 2022/08/20 15:46:29 - mmengine - INFO - Epoch(train) [136][700/940] lr: 1.8284e-01 eta: 12:00:37 time: 0.3666 data_time: 0.0154 memory: 8039 grad_norm: 1.5585 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7176 loss: 2.7176 2022/08/20 15:47:07 - mmengine - INFO - Epoch(train) [136][800/940] lr: 1.8284e-01 eta: 11:59:58 time: 0.3763 data_time: 0.0146 memory: 8039 grad_norm: 1.5528 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4901 loss: 2.4901 2022/08/20 15:47:47 - mmengine - INFO - Epoch(train) [136][900/940] lr: 1.8284e-01 eta: 11:59:21 time: 0.3690 data_time: 0.0155 memory: 8039 grad_norm: 1.5524 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9536 loss: 2.9536 2022/08/20 15:48:02 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 15:48:02 - mmengine - INFO - Epoch(train) [136][940/940] lr: 1.8284e-01 eta: 11:59:06 time: 0.3591 data_time: 0.0146 memory: 8039 grad_norm: 1.6140 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 2.9679 loss: 2.9679 2022/08/20 15:48:02 - mmengine - INFO - Saving checkpoint at 136 epochs 2022/08/20 15:48:46 - mmengine - INFO - Epoch(train) [137][100/940] lr: 1.8040e-01 eta: 11:58:28 time: 0.3885 data_time: 0.0154 memory: 8039 grad_norm: 1.5927 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.7393 loss: 2.7393 2022/08/20 15:49:08 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 15:49:24 - mmengine - INFO - Epoch(train) [137][200/940] lr: 1.8040e-01 eta: 11:57:50 time: 0.3956 data_time: 0.0158 memory: 8039 grad_norm: 1.5655 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7655 loss: 2.7655 2022/08/20 15:50:02 - mmengine - INFO - Epoch(train) [137][300/940] lr: 1.8040e-01 eta: 11:57:12 time: 0.3924 data_time: 0.0161 memory: 8039 grad_norm: 1.5859 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7946 loss: 2.7946 2022/08/20 15:50:41 - mmengine - INFO - Epoch(train) [137][400/940] lr: 1.8040e-01 eta: 11:56:34 time: 0.3936 data_time: 0.0154 memory: 8039 grad_norm: 1.5716 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0025 loss: 3.0025 2022/08/20 15:51:18 - mmengine - INFO - Epoch(train) [137][500/940] lr: 1.8040e-01 eta: 11:55:55 time: 0.3694 data_time: 0.0159 memory: 8039 grad_norm: 1.5523 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8925 loss: 2.8925 2022/08/20 15:51:56 - mmengine - INFO - Epoch(train) [137][600/940] lr: 1.8040e-01 eta: 11:55:16 time: 0.3677 data_time: 0.0157 memory: 8039 grad_norm: 1.6102 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7418 loss: 2.7418 2022/08/20 15:52:35 - mmengine - INFO - Epoch(train) [137][700/940] lr: 1.8040e-01 eta: 11:54:38 time: 0.3749 data_time: 0.0153 memory: 8039 grad_norm: 1.6114 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.6734 loss: 2.6734 2022/08/20 15:53:13 - mmengine - INFO - Epoch(train) [137][800/940] lr: 1.8040e-01 eta: 11:54:00 time: 0.4059 data_time: 0.0154 memory: 8039 grad_norm: 1.5541 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4763 loss: 2.4763 2022/08/20 15:53:51 - mmengine - INFO - Epoch(train) [137][900/940] lr: 1.8040e-01 eta: 11:53:22 time: 0.3995 data_time: 0.0151 memory: 8039 grad_norm: 1.5909 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6277 loss: 2.6277 2022/08/20 15:54:06 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 15:54:06 - mmengine - INFO - Epoch(train) [137][940/940] lr: 1.8040e-01 eta: 11:53:06 time: 0.3944 data_time: 0.0144 memory: 8039 grad_norm: 1.6213 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.5622 loss: 2.5622 2022/08/20 15:54:46 - mmengine - INFO - Epoch(train) [138][100/940] lr: 1.7796e-01 eta: 11:52:30 time: 0.4005 data_time: 0.0150 memory: 8039 grad_norm: 1.5357 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6393 loss: 2.6393 2022/08/20 15:55:24 - mmengine - INFO - Epoch(train) [138][200/940] lr: 1.7796e-01 eta: 11:51:51 time: 0.4114 data_time: 0.0149 memory: 8039 grad_norm: 1.6183 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6365 loss: 2.6365 2022/08/20 15:55:32 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 15:56:02 - mmengine - INFO - Epoch(train) [138][300/940] lr: 1.7796e-01 eta: 11:51:13 time: 0.4034 data_time: 0.0165 memory: 8039 grad_norm: 1.6210 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8982 loss: 2.8982 2022/08/20 15:56:41 - mmengine - INFO - Epoch(train) [138][400/940] lr: 1.7796e-01 eta: 11:50:34 time: 0.3694 data_time: 0.0151 memory: 8039 grad_norm: 1.6168 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7160 loss: 2.7160 2022/08/20 15:57:20 - mmengine - INFO - Epoch(train) [138][500/940] lr: 1.7796e-01 eta: 11:49:57 time: 0.3668 data_time: 0.0151 memory: 8039 grad_norm: 1.5705 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7190 loss: 2.7190 2022/08/20 15:57:58 - mmengine - INFO - Epoch(train) [138][600/940] lr: 1.7796e-01 eta: 11:49:18 time: 0.3723 data_time: 0.0155 memory: 8039 grad_norm: 1.5701 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9272 loss: 2.9272 2022/08/20 15:58:37 - mmengine - INFO - Epoch(train) [138][700/940] lr: 1.7796e-01 eta: 11:48:40 time: 0.4357 data_time: 0.0159 memory: 8039 grad_norm: 1.6072 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3986 loss: 2.3986 2022/08/20 15:59:15 - mmengine - INFO - Epoch(train) [138][800/940] lr: 1.7796e-01 eta: 11:48:02 time: 0.3756 data_time: 0.0165 memory: 8039 grad_norm: 1.5646 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4298 loss: 2.4298 2022/08/20 15:59:53 - mmengine - INFO - Epoch(train) [138][900/940] lr: 1.7796e-01 eta: 11:47:24 time: 0.3715 data_time: 0.0157 memory: 8039 grad_norm: 1.5796 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.7578 loss: 2.7578 2022/08/20 16:00:08 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 16:00:08 - mmengine - INFO - Epoch(train) [138][940/940] lr: 1.7796e-01 eta: 11:47:08 time: 0.3935 data_time: 0.0148 memory: 8039 grad_norm: 1.6225 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.8783 loss: 2.8783 2022/08/20 16:00:50 - mmengine - INFO - Epoch(train) [139][100/940] lr: 1.7552e-01 eta: 11:46:33 time: 0.4722 data_time: 0.0148 memory: 8039 grad_norm: 1.6185 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7345 loss: 2.7345 2022/08/20 16:01:29 - mmengine - INFO - Epoch(train) [139][200/940] lr: 1.7552e-01 eta: 11:45:55 time: 0.4016 data_time: 0.0149 memory: 8039 grad_norm: 1.5985 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8899 loss: 2.8899 2022/08/20 16:02:00 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 16:02:08 - mmengine - INFO - Epoch(train) [139][300/940] lr: 1.7552e-01 eta: 11:45:18 time: 0.4134 data_time: 0.0155 memory: 8039 grad_norm: 1.6072 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6787 loss: 2.6787 2022/08/20 16:02:46 - mmengine - INFO - Epoch(train) [139][400/940] lr: 1.7552e-01 eta: 11:44:39 time: 0.3860 data_time: 0.0152 memory: 8039 grad_norm: 1.5921 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9044 loss: 2.9044 2022/08/20 16:03:26 - mmengine - INFO - Epoch(train) [139][500/940] lr: 1.7552e-01 eta: 11:44:02 time: 0.3989 data_time: 0.0164 memory: 8039 grad_norm: 1.5837 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5136 loss: 2.5136 2022/08/20 16:04:05 - mmengine - INFO - Epoch(train) [139][600/940] lr: 1.7552e-01 eta: 11:43:25 time: 0.4795 data_time: 0.0155 memory: 8039 grad_norm: 1.5671 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7341 loss: 2.7341 2022/08/20 16:04:45 - mmengine - INFO - Epoch(train) [139][700/940] lr: 1.7552e-01 eta: 11:42:48 time: 0.3993 data_time: 0.0162 memory: 8039 grad_norm: 1.5727 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8200 loss: 2.8200 2022/08/20 16:05:24 - mmengine - INFO - Epoch(train) [139][800/940] lr: 1.7552e-01 eta: 11:42:10 time: 0.3971 data_time: 0.0160 memory: 8039 grad_norm: 1.6006 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6082 loss: 2.6082 2022/08/20 16:06:02 - mmengine - INFO - Epoch(train) [139][900/940] lr: 1.7552e-01 eta: 11:41:31 time: 0.3677 data_time: 0.0152 memory: 8039 grad_norm: 1.5776 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4975 loss: 2.4975 2022/08/20 16:06:17 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 16:06:17 - mmengine - INFO - Epoch(train) [139][940/940] lr: 1.7552e-01 eta: 11:41:16 time: 0.3610 data_time: 0.0148 memory: 8039 grad_norm: 1.6240 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 2.7820 loss: 2.7820 2022/08/20 16:06:57 - mmengine - INFO - Epoch(train) [140][100/940] lr: 1.7308e-01 eta: 11:40:39 time: 0.3726 data_time: 0.0153 memory: 8039 grad_norm: 1.5968 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5344 loss: 2.5344 2022/08/20 16:07:35 - mmengine - INFO - Epoch(train) [140][200/940] lr: 1.7308e-01 eta: 11:40:01 time: 0.3702 data_time: 0.0159 memory: 8039 grad_norm: 1.6118 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5001 loss: 2.5001 2022/08/20 16:08:12 - mmengine - INFO - Epoch(train) [140][300/940] lr: 1.7308e-01 eta: 11:39:21 time: 0.3674 data_time: 0.0149 memory: 8039 grad_norm: 1.6126 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5193 loss: 2.5193 2022/08/20 16:08:27 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 16:08:49 - mmengine - INFO - Epoch(train) [140][400/940] lr: 1.7308e-01 eta: 11:38:42 time: 0.3779 data_time: 0.0160 memory: 8039 grad_norm: 1.6310 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7413 loss: 2.7413 2022/08/20 16:09:27 - mmengine - INFO - Epoch(train) [140][500/940] lr: 1.7308e-01 eta: 11:38:03 time: 0.3976 data_time: 0.0162 memory: 8039 grad_norm: 1.5906 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0035 loss: 3.0035 2022/08/20 16:10:06 - mmengine - INFO - Epoch(train) [140][600/940] lr: 1.7308e-01 eta: 11:37:26 time: 0.4131 data_time: 0.0158 memory: 8039 grad_norm: 1.6176 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6872 loss: 2.6872 2022/08/20 16:10:44 - mmengine - INFO - Epoch(train) [140][700/940] lr: 1.7308e-01 eta: 11:36:47 time: 0.3721 data_time: 0.0147 memory: 8039 grad_norm: 1.6001 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6536 loss: 2.6536 2022/08/20 16:11:22 - mmengine - INFO - Epoch(train) [140][800/940] lr: 1.7308e-01 eta: 11:36:09 time: 0.3681 data_time: 0.0153 memory: 8039 grad_norm: 1.6565 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7371 loss: 2.7371 2022/08/20 16:12:02 - mmengine - INFO - Epoch(train) [140][900/940] lr: 1.7308e-01 eta: 11:35:32 time: 0.4846 data_time: 0.0169 memory: 8039 grad_norm: 1.6046 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5343 loss: 2.5343 2022/08/20 16:12:17 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 16:12:17 - mmengine - INFO - Epoch(train) [140][940/940] lr: 1.7308e-01 eta: 11:35:17 time: 0.4037 data_time: 0.0164 memory: 8039 grad_norm: 1.6607 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8130 loss: 2.8130 2022/08/20 16:12:17 - mmengine - INFO - Saving checkpoint at 140 epochs 2022/08/20 16:12:39 - mmengine - INFO - Epoch(val) [140][78/78] acc/top1: 0.4420 acc/top5: 0.7075 acc/mean1: 0.4420 2022/08/20 16:13:20 - mmengine - INFO - Epoch(train) [141][100/940] lr: 1.7065e-01 eta: 11:34:40 time: 0.3846 data_time: 0.0161 memory: 8039 grad_norm: 1.6486 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7734 loss: 2.7734 2022/08/20 16:13:58 - mmengine - INFO - Epoch(train) [141][200/940] lr: 1.7065e-01 eta: 11:34:02 time: 0.4017 data_time: 0.0173 memory: 8039 grad_norm: 1.6018 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.7199 loss: 2.7199 2022/08/20 16:14:38 - mmengine - INFO - Epoch(train) [141][300/940] lr: 1.7065e-01 eta: 11:33:25 time: 0.4278 data_time: 0.0173 memory: 8039 grad_norm: 1.6096 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7093 loss: 2.7093 2022/08/20 16:15:16 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 16:15:16 - mmengine - INFO - Epoch(train) [141][400/940] lr: 1.7065e-01 eta: 11:32:47 time: 0.3739 data_time: 0.0165 memory: 8039 grad_norm: 1.6132 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6782 loss: 2.6782 2022/08/20 16:15:55 - mmengine - INFO - Epoch(train) [141][500/940] lr: 1.7065e-01 eta: 11:32:09 time: 0.4400 data_time: 0.0157 memory: 8039 grad_norm: 1.6259 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7563 loss: 2.7563 2022/08/20 16:16:35 - mmengine - INFO - Epoch(train) [141][600/940] lr: 1.7065e-01 eta: 11:31:32 time: 0.4636 data_time: 0.0153 memory: 8039 grad_norm: 1.6191 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6035 loss: 2.6035 2022/08/20 16:17:13 - mmengine - INFO - Epoch(train) [141][700/940] lr: 1.7065e-01 eta: 11:30:53 time: 0.3693 data_time: 0.0155 memory: 8039 grad_norm: 1.6298 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9393 loss: 2.9393 2022/08/20 16:17:52 - mmengine - INFO - Epoch(train) [141][800/940] lr: 1.7065e-01 eta: 11:30:16 time: 0.3788 data_time: 0.0154 memory: 8039 grad_norm: 1.6263 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.7841 loss: 2.7841 2022/08/20 16:18:30 - mmengine - INFO - Epoch(train) [141][900/940] lr: 1.7065e-01 eta: 11:29:38 time: 0.3772 data_time: 0.0163 memory: 8039 grad_norm: 1.6512 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9395 loss: 2.9395 2022/08/20 16:18:46 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 16:18:46 - mmengine - INFO - Epoch(train) [141][940/940] lr: 1.7065e-01 eta: 11:29:22 time: 0.3860 data_time: 0.0157 memory: 8039 grad_norm: 1.6463 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.5330 loss: 2.5330 2022/08/20 16:19:26 - mmengine - INFO - Epoch(train) [142][100/940] lr: 1.6823e-01 eta: 11:28:46 time: 0.3726 data_time: 0.0162 memory: 8039 grad_norm: 1.6088 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4395 loss: 2.4395 2022/08/20 16:20:05 - mmengine - INFO - Epoch(train) [142][200/940] lr: 1.6823e-01 eta: 11:28:08 time: 0.3862 data_time: 0.0157 memory: 8039 grad_norm: 1.6313 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3782 loss: 2.3782 2022/08/20 16:20:42 - mmengine - INFO - Epoch(train) [142][300/940] lr: 1.6823e-01 eta: 11:27:29 time: 0.3703 data_time: 0.0147 memory: 8039 grad_norm: 1.6100 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7582 loss: 2.7582 2022/08/20 16:21:22 - mmengine - INFO - Epoch(train) [142][400/940] lr: 1.6823e-01 eta: 11:26:52 time: 0.3712 data_time: 0.0165 memory: 8039 grad_norm: 1.6067 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2770 loss: 2.2770 2022/08/20 16:21:45 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 16:22:01 - mmengine - INFO - Epoch(train) [142][500/940] lr: 1.6823e-01 eta: 11:26:14 time: 0.4121 data_time: 0.0165 memory: 8039 grad_norm: 1.6061 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5977 loss: 2.5977 2022/08/20 16:22:39 - mmengine - INFO - Epoch(train) [142][600/940] lr: 1.6823e-01 eta: 11:25:35 time: 0.3839 data_time: 0.0162 memory: 8039 grad_norm: 1.5763 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8544 loss: 2.8544 2022/08/20 16:23:20 - mmengine - INFO - Epoch(train) [142][700/940] lr: 1.6823e-01 eta: 11:24:59 time: 0.4993 data_time: 0.0167 memory: 8039 grad_norm: 1.6281 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5562 loss: 2.5562 2022/08/20 16:23:58 - mmengine - INFO - Epoch(train) [142][800/940] lr: 1.6823e-01 eta: 11:24:21 time: 0.4168 data_time: 0.0166 memory: 8039 grad_norm: 1.5946 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4523 loss: 2.4523 2022/08/20 16:24:40 - mmengine - INFO - Epoch(train) [142][900/940] lr: 1.6823e-01 eta: 11:23:45 time: 0.4404 data_time: 0.0172 memory: 8039 grad_norm: 1.5645 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5230 loss: 2.5230 2022/08/20 16:24:55 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 16:24:55 - mmengine - INFO - Epoch(train) [142][940/940] lr: 1.6823e-01 eta: 11:23:30 time: 0.3996 data_time: 0.0140 memory: 8039 grad_norm: 1.6720 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 2.8132 loss: 2.8132 2022/08/20 16:25:37 - mmengine - INFO - Epoch(train) [143][100/940] lr: 1.6581e-01 eta: 11:22:54 time: 0.4207 data_time: 0.0164 memory: 8039 grad_norm: 1.6351 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3851 loss: 2.3851 2022/08/20 16:26:17 - mmengine - INFO - Epoch(train) [143][200/940] lr: 1.6581e-01 eta: 11:22:18 time: 0.4242 data_time: 0.0158 memory: 8039 grad_norm: 1.6680 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7747 loss: 2.7747 2022/08/20 16:26:56 - mmengine - INFO - Epoch(train) [143][300/940] lr: 1.6581e-01 eta: 11:21:40 time: 0.3680 data_time: 0.0161 memory: 8039 grad_norm: 1.6526 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7007 loss: 2.7007 2022/08/20 16:27:38 - mmengine - INFO - Epoch(train) [143][400/940] lr: 1.6581e-01 eta: 11:21:05 time: 0.4198 data_time: 0.0151 memory: 8039 grad_norm: 1.6086 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3756 loss: 2.3756 2022/08/20 16:28:17 - mmengine - INFO - Epoch(train) [143][500/940] lr: 1.6581e-01 eta: 11:20:27 time: 0.3798 data_time: 0.0158 memory: 8039 grad_norm: 1.6294 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6401 loss: 2.6401 2022/08/20 16:28:25 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 16:28:56 - mmengine - INFO - Epoch(train) [143][600/940] lr: 1.6581e-01 eta: 11:19:49 time: 0.4011 data_time: 0.0160 memory: 8039 grad_norm: 1.5982 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6324 loss: 2.6324 2022/08/20 16:29:35 - mmengine - INFO - Epoch(train) [143][700/940] lr: 1.6581e-01 eta: 11:19:11 time: 0.3959 data_time: 0.0158 memory: 8039 grad_norm: 1.6159 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.9374 loss: 2.9374 2022/08/20 16:30:13 - mmengine - INFO - Epoch(train) [143][800/940] lr: 1.6581e-01 eta: 11:18:33 time: 0.3655 data_time: 0.0153 memory: 8039 grad_norm: 1.6244 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.8200 loss: 2.8200 2022/08/20 16:30:52 - mmengine - INFO - Epoch(train) [143][900/940] lr: 1.6581e-01 eta: 11:17:55 time: 0.3727 data_time: 0.0154 memory: 8039 grad_norm: 1.6640 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3346 loss: 2.3346 2022/08/20 16:31:10 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 16:31:10 - mmengine - INFO - Epoch(train) [143][940/940] lr: 1.6581e-01 eta: 11:17:42 time: 0.4792 data_time: 0.0142 memory: 8039 grad_norm: 1.6824 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 2.6492 loss: 2.6492 2022/08/20 16:31:52 - mmengine - INFO - Epoch(train) [144][100/940] lr: 1.6339e-01 eta: 11:17:06 time: 0.3997 data_time: 0.0154 memory: 8039 grad_norm: 1.6493 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4906 loss: 2.4906 2022/08/20 16:32:33 - mmengine - INFO - Epoch(train) [144][200/940] lr: 1.6339e-01 eta: 11:16:30 time: 0.4616 data_time: 0.0151 memory: 8039 grad_norm: 1.6087 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6695 loss: 2.6695 2022/08/20 16:33:13 - mmengine - INFO - Epoch(train) [144][300/940] lr: 1.6339e-01 eta: 11:15:53 time: 0.3688 data_time: 0.0151 memory: 8039 grad_norm: 1.6756 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4214 loss: 2.4214 2022/08/20 16:33:51 - mmengine - INFO - Epoch(train) [144][400/940] lr: 1.6339e-01 eta: 11:15:15 time: 0.3895 data_time: 0.0156 memory: 8039 grad_norm: 1.6398 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6201 loss: 2.6201 2022/08/20 16:34:31 - mmengine - INFO - Epoch(train) [144][500/940] lr: 1.6339e-01 eta: 11:14:37 time: 0.3937 data_time: 0.0158 memory: 8039 grad_norm: 1.6228 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7974 loss: 2.7974 2022/08/20 16:35:01 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 16:35:09 - mmengine - INFO - Epoch(train) [144][600/940] lr: 1.6339e-01 eta: 11:13:59 time: 0.4072 data_time: 0.0148 memory: 8039 grad_norm: 1.6267 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5576 loss: 2.5576 2022/08/20 16:35:49 - mmengine - INFO - Epoch(train) [144][700/940] lr: 1.6339e-01 eta: 11:13:22 time: 0.4207 data_time: 0.0156 memory: 8039 grad_norm: 1.6851 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3850 loss: 2.3850 2022/08/20 16:36:28 - mmengine - INFO - Epoch(train) [144][800/940] lr: 1.6339e-01 eta: 11:12:44 time: 0.3783 data_time: 0.0145 memory: 8039 grad_norm: 1.6651 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5657 loss: 2.5657 2022/08/20 16:37:07 - mmengine - INFO - Epoch(train) [144][900/940] lr: 1.6339e-01 eta: 11:12:07 time: 0.4026 data_time: 0.0154 memory: 8039 grad_norm: 1.6827 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3886 loss: 2.3886 2022/08/20 16:37:22 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 16:37:22 - mmengine - INFO - Epoch(train) [144][940/940] lr: 1.6339e-01 eta: 11:11:51 time: 0.3642 data_time: 0.0148 memory: 8039 grad_norm: 1.6865 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.6269 loss: 2.6269 2022/08/20 16:37:22 - mmengine - INFO - Saving checkpoint at 144 epochs 2022/08/20 16:38:07 - mmengine - INFO - Epoch(train) [145][100/940] lr: 1.6098e-01 eta: 11:11:14 time: 0.4388 data_time: 0.0156 memory: 8039 grad_norm: 1.6527 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5812 loss: 2.5812 2022/08/20 16:38:45 - mmengine - INFO - Epoch(train) [145][200/940] lr: 1.6098e-01 eta: 11:10:35 time: 0.3664 data_time: 0.0157 memory: 8039 grad_norm: 1.6543 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6855 loss: 2.6855 2022/08/20 16:39:22 - mmengine - INFO - Epoch(train) [145][300/940] lr: 1.6098e-01 eta: 11:09:56 time: 0.3709 data_time: 0.0157 memory: 8039 grad_norm: 1.6514 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4649 loss: 2.4649 2022/08/20 16:40:01 - mmengine - INFO - Epoch(train) [145][400/940] lr: 1.6098e-01 eta: 11:09:18 time: 0.3705 data_time: 0.0166 memory: 8039 grad_norm: 1.6757 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4956 loss: 2.4956 2022/08/20 16:40:41 - mmengine - INFO - Epoch(train) [145][500/940] lr: 1.6098e-01 eta: 11:08:41 time: 0.4574 data_time: 0.0170 memory: 8039 grad_norm: 1.6407 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1718 loss: 2.1718 2022/08/20 16:41:20 - mmengine - INFO - Epoch(train) [145][600/940] lr: 1.6098e-01 eta: 11:08:03 time: 0.4185 data_time: 0.0148 memory: 8039 grad_norm: 1.6422 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7502 loss: 2.7502 2022/08/20 16:41:35 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 16:41:58 - mmengine - INFO - Epoch(train) [145][700/940] lr: 1.6098e-01 eta: 11:07:25 time: 0.3749 data_time: 0.0163 memory: 8039 grad_norm: 1.6789 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4644 loss: 2.4644 2022/08/20 16:42:37 - mmengine - INFO - Epoch(train) [145][800/940] lr: 1.6098e-01 eta: 11:06:47 time: 0.3681 data_time: 0.0158 memory: 8039 grad_norm: 1.6577 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6621 loss: 2.6621 2022/08/20 16:43:15 - mmengine - INFO - Epoch(train) [145][900/940] lr: 1.6098e-01 eta: 11:06:09 time: 0.3708 data_time: 0.0155 memory: 8039 grad_norm: 1.6370 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6781 loss: 2.6781 2022/08/20 16:43:30 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 16:43:30 - mmengine - INFO - Epoch(train) [145][940/940] lr: 1.6098e-01 eta: 11:05:53 time: 0.3748 data_time: 0.0148 memory: 8039 grad_norm: 1.6772 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 2.8336 loss: 2.8336 2022/08/20 16:43:50 - mmengine - INFO - Epoch(val) [145][78/78] acc/top1: 0.4524 acc/top5: 0.7271 acc/mean1: 0.4523 2022/08/20 16:43:50 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb/best_acc/top1_epoch_136.pth is removed 2022/08/20 16:43:53 - mmengine - INFO - The best checkpoint with 0.4524 acc/top1 at 146 epoch is saved to best_acc/top1_epoch_146.pth. 2022/08/20 16:44:33 - mmengine - INFO - Epoch(train) [146][100/940] lr: 1.5858e-01 eta: 11:05:16 time: 0.3988 data_time: 0.0150 memory: 8039 grad_norm: 1.6309 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9678 loss: 2.9678 2022/08/20 16:45:12 - mmengine - INFO - Epoch(train) [146][200/940] lr: 1.5858e-01 eta: 11:04:39 time: 0.4336 data_time: 0.0167 memory: 8039 grad_norm: 1.6368 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6418 loss: 2.6418 2022/08/20 16:45:51 - mmengine - INFO - Epoch(train) [146][300/940] lr: 1.5858e-01 eta: 11:04:00 time: 0.3983 data_time: 0.0163 memory: 8039 grad_norm: 1.6326 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2917 loss: 2.2917 2022/08/20 16:46:29 - mmengine - INFO - Epoch(train) [146][400/940] lr: 1.5858e-01 eta: 11:03:22 time: 0.3706 data_time: 0.0171 memory: 8039 grad_norm: 1.6100 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8000 loss: 2.8000 2022/08/20 16:47:07 - mmengine - INFO - Epoch(train) [146][500/940] lr: 1.5858e-01 eta: 11:02:44 time: 0.4181 data_time: 0.0150 memory: 8039 grad_norm: 1.6851 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6559 loss: 2.6559 2022/08/20 16:47:46 - mmengine - INFO - Epoch(train) [146][600/940] lr: 1.5858e-01 eta: 11:02:06 time: 0.3725 data_time: 0.0154 memory: 8039 grad_norm: 1.6542 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7828 loss: 2.7828 2022/08/20 16:48:25 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 16:48:25 - mmengine - INFO - Epoch(train) [146][700/940] lr: 1.5858e-01 eta: 11:01:28 time: 0.3709 data_time: 0.0146 memory: 8039 grad_norm: 1.6581 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6777 loss: 2.6777 2022/08/20 16:49:04 - mmengine - INFO - Epoch(train) [146][800/940] lr: 1.5858e-01 eta: 11:00:50 time: 0.3703 data_time: 0.0164 memory: 8039 grad_norm: 1.6707 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4873 loss: 2.4873 2022/08/20 16:49:42 - mmengine - INFO - Epoch(train) [146][900/940] lr: 1.5858e-01 eta: 11:00:12 time: 0.3837 data_time: 0.0163 memory: 8039 grad_norm: 1.6545 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6791 loss: 2.6791 2022/08/20 16:49:58 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 16:49:58 - mmengine - INFO - Epoch(train) [146][940/940] lr: 1.5858e-01 eta: 10:59:57 time: 0.3582 data_time: 0.0155 memory: 8039 grad_norm: 1.7129 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5912 loss: 2.5912 2022/08/20 16:50:38 - mmengine - INFO - Epoch(train) [147][100/940] lr: 1.5618e-01 eta: 10:59:20 time: 0.3791 data_time: 0.0161 memory: 8039 grad_norm: 1.6244 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4922 loss: 2.4922 2022/08/20 16:51:16 - mmengine - INFO - Epoch(train) [147][200/940] lr: 1.5618e-01 eta: 10:58:41 time: 0.3696 data_time: 0.0153 memory: 8039 grad_norm: 1.6699 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3529 loss: 2.3529 2022/08/20 16:51:55 - mmengine - INFO - Epoch(train) [147][300/940] lr: 1.5618e-01 eta: 10:58:03 time: 0.3652 data_time: 0.0144 memory: 8039 grad_norm: 1.6865 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5219 loss: 2.5219 2022/08/20 16:52:34 - mmengine - INFO - Epoch(train) [147][400/940] lr: 1.5618e-01 eta: 10:57:26 time: 0.4683 data_time: 0.0156 memory: 8039 grad_norm: 1.6410 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2581 loss: 2.2581 2022/08/20 16:53:12 - mmengine - INFO - Epoch(train) [147][500/940] lr: 1.5618e-01 eta: 10:56:47 time: 0.3832 data_time: 0.0159 memory: 8039 grad_norm: 1.6976 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5492 loss: 2.5492 2022/08/20 16:53:51 - mmengine - INFO - Epoch(train) [147][600/940] lr: 1.5618e-01 eta: 10:56:09 time: 0.4073 data_time: 0.0155 memory: 8039 grad_norm: 1.6787 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3756 loss: 2.3756 2022/08/20 16:54:29 - mmengine - INFO - Epoch(train) [147][700/940] lr: 1.5618e-01 eta: 10:55:30 time: 0.3784 data_time: 0.0150 memory: 8039 grad_norm: 1.6783 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5087 loss: 2.5087 2022/08/20 16:54:52 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 16:55:07 - mmengine - INFO - Epoch(train) [147][800/940] lr: 1.5618e-01 eta: 10:54:52 time: 0.3716 data_time: 0.0156 memory: 8039 grad_norm: 1.6594 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5015 loss: 2.5015 2022/08/20 16:55:45 - mmengine - INFO - Epoch(train) [147][900/940] lr: 1.5618e-01 eta: 10:54:14 time: 0.3678 data_time: 0.0149 memory: 8039 grad_norm: 1.6494 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5043 loss: 2.5043 2022/08/20 16:56:00 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 16:56:00 - mmengine - INFO - Epoch(train) [147][940/940] lr: 1.5618e-01 eta: 10:53:58 time: 0.3944 data_time: 0.0169 memory: 8039 grad_norm: 1.7184 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3624 loss: 2.3624 2022/08/20 16:56:41 - mmengine - INFO - Epoch(train) [148][100/940] lr: 1.5379e-01 eta: 10:53:22 time: 0.3815 data_time: 0.0163 memory: 8039 grad_norm: 1.6469 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4667 loss: 2.4667 2022/08/20 16:57:20 - mmengine - INFO - Epoch(train) [148][200/940] lr: 1.5379e-01 eta: 10:52:44 time: 0.3774 data_time: 0.0165 memory: 8039 grad_norm: 1.6978 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.4553 loss: 2.4553 2022/08/20 16:57:59 - mmengine - INFO - Epoch(train) [148][300/940] lr: 1.5379e-01 eta: 10:52:06 time: 0.3746 data_time: 0.0153 memory: 8039 grad_norm: 1.6477 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8608 loss: 2.8608 2022/08/20 16:58:37 - mmengine - INFO - Epoch(train) [148][400/940] lr: 1.5379e-01 eta: 10:51:27 time: 0.3744 data_time: 0.0157 memory: 8039 grad_norm: 1.6878 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6231 loss: 2.6231 2022/08/20 16:59:16 - mmengine - INFO - Epoch(train) [148][500/940] lr: 1.5379e-01 eta: 10:50:50 time: 0.3766 data_time: 0.0155 memory: 8039 grad_norm: 1.6804 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4324 loss: 2.4324 2022/08/20 16:59:54 - mmengine - INFO - Epoch(train) [148][600/940] lr: 1.5379e-01 eta: 10:50:11 time: 0.3970 data_time: 0.0150 memory: 8039 grad_norm: 1.6566 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6496 loss: 2.6496 2022/08/20 17:00:32 - mmengine - INFO - Epoch(train) [148][700/940] lr: 1.5379e-01 eta: 10:49:33 time: 0.4033 data_time: 0.0166 memory: 8039 grad_norm: 1.6856 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3511 loss: 2.3511 2022/08/20 17:01:11 - mmengine - INFO - Epoch(train) [148][800/940] lr: 1.5379e-01 eta: 10:48:54 time: 0.3953 data_time: 0.0148 memory: 8039 grad_norm: 1.6857 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3218 loss: 2.3218 2022/08/20 17:01:18 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 17:01:50 - mmengine - INFO - Epoch(train) [148][900/940] lr: 1.5379e-01 eta: 10:48:17 time: 0.4195 data_time: 0.0149 memory: 8039 grad_norm: 1.6666 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.7525 loss: 2.7525 2022/08/20 17:02:04 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 17:02:04 - mmengine - INFO - Epoch(train) [148][940/940] lr: 1.5379e-01 eta: 10:48:01 time: 0.3584 data_time: 0.0141 memory: 8039 grad_norm: 1.6979 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8707 loss: 2.8707 2022/08/20 17:02:04 - mmengine - INFO - Saving checkpoint at 148 epochs 2022/08/20 17:02:48 - mmengine - INFO - Epoch(train) [149][100/940] lr: 1.5140e-01 eta: 10:47:23 time: 0.3899 data_time: 0.0153 memory: 8039 grad_norm: 1.6851 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6120 loss: 2.6120 2022/08/20 17:03:27 - mmengine - INFO - Epoch(train) [149][200/940] lr: 1.5140e-01 eta: 10:46:45 time: 0.3773 data_time: 0.0150 memory: 8039 grad_norm: 1.6840 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6520 loss: 2.6520 2022/08/20 17:04:06 - mmengine - INFO - Epoch(train) [149][300/940] lr: 1.5140e-01 eta: 10:46:07 time: 0.4253 data_time: 0.0151 memory: 8039 grad_norm: 1.6930 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6448 loss: 2.6448 2022/08/20 17:04:45 - mmengine - INFO - Epoch(train) [149][400/940] lr: 1.5140e-01 eta: 10:45:29 time: 0.4102 data_time: 0.0167 memory: 8039 grad_norm: 1.6669 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6539 loss: 2.6539 2022/08/20 17:05:23 - mmengine - INFO - Epoch(train) [149][500/940] lr: 1.5140e-01 eta: 10:44:50 time: 0.3688 data_time: 0.0157 memory: 8039 grad_norm: 1.6682 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.3521 loss: 2.3521 2022/08/20 17:06:01 - mmengine - INFO - Epoch(train) [149][600/940] lr: 1.5140e-01 eta: 10:44:13 time: 0.3737 data_time: 0.0162 memory: 8039 grad_norm: 1.6942 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3647 loss: 2.3647 2022/08/20 17:06:39 - mmengine - INFO - Epoch(train) [149][700/940] lr: 1.5140e-01 eta: 10:43:34 time: 0.3694 data_time: 0.0152 memory: 8039 grad_norm: 1.6664 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4653 loss: 2.4653 2022/08/20 17:07:18 - mmengine - INFO - Epoch(train) [149][800/940] lr: 1.5140e-01 eta: 10:42:56 time: 0.3725 data_time: 0.0156 memory: 8039 grad_norm: 1.6944 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.8025 loss: 2.8025 2022/08/20 17:07:48 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 17:07:56 - mmengine - INFO - Epoch(train) [149][900/940] lr: 1.5140e-01 eta: 10:42:17 time: 0.3717 data_time: 0.0153 memory: 8039 grad_norm: 1.6680 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.6009 loss: 2.6009 2022/08/20 17:08:11 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 17:08:11 - mmengine - INFO - Epoch(train) [149][940/940] lr: 1.5140e-01 eta: 10:42:02 time: 0.3937 data_time: 0.0156 memory: 8039 grad_norm: 1.6932 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4529 loss: 2.4529 2022/08/20 17:08:53 - mmengine - INFO - Epoch(train) [150][100/940] lr: 1.4903e-01 eta: 10:41:26 time: 0.4390 data_time: 0.0155 memory: 8039 grad_norm: 1.7016 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7163 loss: 2.7163 2022/08/20 17:09:32 - mmengine - INFO - Epoch(train) [150][200/940] lr: 1.4903e-01 eta: 10:40:48 time: 0.4173 data_time: 0.0163 memory: 8039 grad_norm: 1.6909 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6907 loss: 2.6907 2022/08/20 17:10:10 - mmengine - INFO - Epoch(train) [150][300/940] lr: 1.4903e-01 eta: 10:40:10 time: 0.4048 data_time: 0.0145 memory: 8039 grad_norm: 1.6908 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5993 loss: 2.5993 2022/08/20 17:10:48 - mmengine - INFO - Epoch(train) [150][400/940] lr: 1.4903e-01 eta: 10:39:31 time: 0.3660 data_time: 0.0157 memory: 8039 grad_norm: 1.6708 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7685 loss: 2.7685 2022/08/20 17:11:27 - mmengine - INFO - Epoch(train) [150][500/940] lr: 1.4903e-01 eta: 10:38:53 time: 0.3726 data_time: 0.0147 memory: 8039 grad_norm: 1.6574 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6078 loss: 2.6078 2022/08/20 17:12:05 - mmengine - INFO - Epoch(train) [150][600/940] lr: 1.4903e-01 eta: 10:38:14 time: 0.3869 data_time: 0.0148 memory: 8039 grad_norm: 1.6727 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6768 loss: 2.6768 2022/08/20 17:12:43 - mmengine - INFO - Epoch(train) [150][700/940] lr: 1.4903e-01 eta: 10:37:36 time: 0.3777 data_time: 0.0157 memory: 8039 grad_norm: 1.6981 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4064 loss: 2.4064 2022/08/20 17:13:21 - mmengine - INFO - Epoch(train) [150][800/940] lr: 1.4903e-01 eta: 10:36:58 time: 0.3824 data_time: 0.0151 memory: 8039 grad_norm: 1.6927 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5764 loss: 2.5764 2022/08/20 17:13:59 - mmengine - INFO - Epoch(train) [150][900/940] lr: 1.4903e-01 eta: 10:36:19 time: 0.3947 data_time: 0.0150 memory: 8039 grad_norm: 1.6991 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2631 loss: 2.2631 2022/08/20 17:14:14 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 17:14:14 - mmengine - INFO - Epoch(train) [150][940/940] lr: 1.4903e-01 eta: 10:36:03 time: 0.3617 data_time: 0.0163 memory: 8039 grad_norm: 1.7281 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.4669 loss: 2.4669 2022/08/20 17:14:33 - mmengine - INFO - Epoch(val) [150][78/78] acc/top1: 0.4607 acc/top5: 0.7268 acc/mean1: 0.4606 2022/08/20 17:14:33 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb/best_acc/top1_epoch_146.pth is removed 2022/08/20 17:14:36 - mmengine - INFO - The best checkpoint with 0.4607 acc/top1 at 151 epoch is saved to best_acc/top1_epoch_151.pth. 2022/08/20 17:15:15 - mmengine - INFO - Epoch(train) [151][100/940] lr: 1.4666e-01 eta: 10:35:25 time: 0.3891 data_time: 0.0160 memory: 8039 grad_norm: 1.6947 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2095 loss: 2.2095 2022/08/20 17:15:54 - mmengine - INFO - Epoch(train) [151][200/940] lr: 1.4666e-01 eta: 10:34:48 time: 0.4160 data_time: 0.0158 memory: 8039 grad_norm: 1.7021 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6859 loss: 2.6859 2022/08/20 17:16:32 - mmengine - INFO - Epoch(train) [151][300/940] lr: 1.4666e-01 eta: 10:34:09 time: 0.3998 data_time: 0.0156 memory: 8039 grad_norm: 1.7157 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4255 loss: 2.4255 2022/08/20 17:17:10 - mmengine - INFO - Epoch(train) [151][400/940] lr: 1.4666e-01 eta: 10:33:31 time: 0.3916 data_time: 0.0162 memory: 8039 grad_norm: 1.6677 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7213 loss: 2.7213 2022/08/20 17:17:48 - mmengine - INFO - Epoch(train) [151][500/940] lr: 1.4666e-01 eta: 10:32:52 time: 0.3685 data_time: 0.0155 memory: 8039 grad_norm: 1.7040 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5776 loss: 2.5776 2022/08/20 17:18:26 - mmengine - INFO - Epoch(train) [151][600/940] lr: 1.4666e-01 eta: 10:32:13 time: 0.3708 data_time: 0.0152 memory: 8039 grad_norm: 1.6819 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3924 loss: 2.3924 2022/08/20 17:19:04 - mmengine - INFO - Epoch(train) [151][700/940] lr: 1.4666e-01 eta: 10:31:35 time: 0.3724 data_time: 0.0157 memory: 8039 grad_norm: 1.7035 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6546 loss: 2.6546 2022/08/20 17:19:42 - mmengine - INFO - Epoch(train) [151][800/940] lr: 1.4666e-01 eta: 10:30:56 time: 0.3697 data_time: 0.0149 memory: 8039 grad_norm: 1.6957 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9470 loss: 2.9470 2022/08/20 17:20:21 - mmengine - INFO - Epoch(train) [151][900/940] lr: 1.4666e-01 eta: 10:30:18 time: 0.3836 data_time: 0.0162 memory: 8039 grad_norm: 1.6515 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4407 loss: 2.4407 2022/08/20 17:20:36 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 17:20:36 - mmengine - INFO - Epoch(train) [151][940/940] lr: 1.4666e-01 eta: 10:30:03 time: 0.3817 data_time: 0.0158 memory: 8039 grad_norm: 1.7269 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.7766 loss: 2.7766 2022/08/20 17:21:01 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 17:21:17 - mmengine - INFO - Epoch(train) [152][100/940] lr: 1.4430e-01 eta: 10:29:26 time: 0.3841 data_time: 0.0155 memory: 8039 grad_norm: 1.6856 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3361 loss: 2.3361 2022/08/20 17:21:56 - mmengine - INFO - Epoch(train) [152][200/940] lr: 1.4430e-01 eta: 10:28:48 time: 0.4180 data_time: 0.0154 memory: 8039 grad_norm: 1.7209 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8859 loss: 2.8859 2022/08/20 17:22:35 - mmengine - INFO - Epoch(train) [152][300/940] lr: 1.4430e-01 eta: 10:28:11 time: 0.4130 data_time: 0.0169 memory: 8039 grad_norm: 1.6779 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4653 loss: 2.4653 2022/08/20 17:23:15 - mmengine - INFO - Epoch(train) [152][400/940] lr: 1.4430e-01 eta: 10:27:34 time: 0.4857 data_time: 0.0157 memory: 8039 grad_norm: 1.7180 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4254 loss: 2.4254 2022/08/20 17:23:54 - mmengine - INFO - Epoch(train) [152][500/940] lr: 1.4430e-01 eta: 10:26:55 time: 0.4212 data_time: 0.0161 memory: 8039 grad_norm: 1.7292 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5570 loss: 2.5570 2022/08/20 17:24:32 - mmengine - INFO - Epoch(train) [152][600/940] lr: 1.4430e-01 eta: 10:26:17 time: 0.3975 data_time: 0.0163 memory: 8039 grad_norm: 1.7304 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5237 loss: 2.5237 2022/08/20 17:25:12 - mmengine - INFO - Epoch(train) [152][700/940] lr: 1.4430e-01 eta: 10:25:40 time: 0.4596 data_time: 0.0179 memory: 8039 grad_norm: 1.7438 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9121 loss: 2.9121 2022/08/20 17:25:51 - mmengine - INFO - Epoch(train) [152][800/940] lr: 1.4430e-01 eta: 10:25:02 time: 0.4040 data_time: 0.0169 memory: 8039 grad_norm: 1.6910 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7093 loss: 2.7093 2022/08/20 17:26:28 - mmengine - INFO - Epoch(train) [152][900/940] lr: 1.4430e-01 eta: 10:24:23 time: 0.3637 data_time: 0.0149 memory: 8039 grad_norm: 1.7020 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5417 loss: 2.5417 2022/08/20 17:26:44 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 17:26:44 - mmengine - INFO - Epoch(train) [152][940/940] lr: 1.4430e-01 eta: 10:24:08 time: 0.3624 data_time: 0.0162 memory: 8039 grad_norm: 1.7632 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5503 loss: 2.5503 2022/08/20 17:26:44 - mmengine - INFO - Saving checkpoint at 152 epochs 2022/08/20 17:27:26 - mmengine - INFO - Epoch(train) [153][100/940] lr: 1.4194e-01 eta: 10:23:30 time: 0.3758 data_time: 0.0152 memory: 8039 grad_norm: 1.7120 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5043 loss: 2.5043 2022/08/20 17:27:34 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 17:28:05 - mmengine - INFO - Epoch(train) [153][200/940] lr: 1.4194e-01 eta: 10:22:51 time: 0.3741 data_time: 0.0163 memory: 8039 grad_norm: 1.6970 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8121 loss: 2.8121 2022/08/20 17:28:44 - mmengine - INFO - Epoch(train) [153][300/940] lr: 1.4194e-01 eta: 10:22:13 time: 0.3912 data_time: 0.0152 memory: 8039 grad_norm: 1.7355 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7628 loss: 2.7628 2022/08/20 17:29:22 - mmengine - INFO - Epoch(train) [153][400/940] lr: 1.4194e-01 eta: 10:21:35 time: 0.3933 data_time: 0.0155 memory: 8039 grad_norm: 1.7129 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3866 loss: 2.3866 2022/08/20 17:29:59 - mmengine - INFO - Epoch(train) [153][500/940] lr: 1.4194e-01 eta: 10:20:56 time: 0.3659 data_time: 0.0162 memory: 8039 grad_norm: 1.6840 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6216 loss: 2.6216 2022/08/20 17:30:40 - mmengine - INFO - Epoch(train) [153][600/940] lr: 1.4194e-01 eta: 10:20:19 time: 0.3719 data_time: 0.0150 memory: 8039 grad_norm: 1.7195 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3183 loss: 2.3183 2022/08/20 17:31:20 - mmengine - INFO - Epoch(train) [153][700/940] lr: 1.4194e-01 eta: 10:19:42 time: 0.3766 data_time: 0.0155 memory: 8039 grad_norm: 1.7507 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5507 loss: 2.5507 2022/08/20 17:31:59 - mmengine - INFO - Epoch(train) [153][800/940] lr: 1.4194e-01 eta: 10:19:04 time: 0.3811 data_time: 0.0155 memory: 8039 grad_norm: 1.7335 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5663 loss: 2.5663 2022/08/20 17:32:38 - mmengine - INFO - Epoch(train) [153][900/940] lr: 1.4194e-01 eta: 10:18:26 time: 0.3760 data_time: 0.0165 memory: 8039 grad_norm: 1.7263 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3826 loss: 2.3826 2022/08/20 17:32:54 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 17:32:54 - mmengine - INFO - Epoch(train) [153][940/940] lr: 1.4194e-01 eta: 10:18:11 time: 0.3579 data_time: 0.0153 memory: 8039 grad_norm: 1.7904 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 2.5908 loss: 2.5908 2022/08/20 17:33:34 - mmengine - INFO - Epoch(train) [154][100/940] lr: 1.3960e-01 eta: 10:17:34 time: 0.3756 data_time: 0.0156 memory: 8039 grad_norm: 1.7513 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6041 loss: 2.6041 2022/08/20 17:34:05 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 17:34:12 - mmengine - INFO - Epoch(train) [154][200/940] lr: 1.3960e-01 eta: 10:16:56 time: 0.3745 data_time: 0.0173 memory: 8039 grad_norm: 1.7127 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7213 loss: 2.7213 2022/08/20 17:34:52 - mmengine - INFO - Epoch(train) [154][300/940] lr: 1.3960e-01 eta: 10:16:19 time: 0.4109 data_time: 0.0155 memory: 8039 grad_norm: 1.7435 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5933 loss: 2.5933 2022/08/20 17:35:30 - mmengine - INFO - Epoch(train) [154][400/940] lr: 1.3960e-01 eta: 10:15:40 time: 0.3694 data_time: 0.0153 memory: 8039 grad_norm: 1.7557 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5754 loss: 2.5754 2022/08/20 17:36:12 - mmengine - INFO - Epoch(train) [154][500/940] lr: 1.3960e-01 eta: 10:15:04 time: 0.4140 data_time: 0.0167 memory: 8039 grad_norm: 1.7125 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5111 loss: 2.5111 2022/08/20 17:36:52 - mmengine - INFO - Epoch(train) [154][600/940] lr: 1.3960e-01 eta: 10:14:27 time: 0.4003 data_time: 0.0147 memory: 8039 grad_norm: 1.7650 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8340 loss: 2.8340 2022/08/20 17:37:31 - mmengine - INFO - Epoch(train) [154][700/940] lr: 1.3960e-01 eta: 10:13:49 time: 0.3721 data_time: 0.0145 memory: 8039 grad_norm: 1.7494 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3709 loss: 2.3709 2022/08/20 17:38:09 - mmengine - INFO - Epoch(train) [154][800/940] lr: 1.3960e-01 eta: 10:13:10 time: 0.3692 data_time: 0.0155 memory: 8039 grad_norm: 1.7634 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3121 loss: 2.3121 2022/08/20 17:38:48 - mmengine - INFO - Epoch(train) [154][900/940] lr: 1.3960e-01 eta: 10:12:33 time: 0.3688 data_time: 0.0154 memory: 8039 grad_norm: 1.7824 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9268 loss: 2.9268 2022/08/20 17:39:04 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 17:39:04 - mmengine - INFO - Epoch(train) [154][940/940] lr: 1.3960e-01 eta: 10:12:17 time: 0.3741 data_time: 0.0144 memory: 8039 grad_norm: 1.7605 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1823 loss: 2.1823 2022/08/20 17:39:44 - mmengine - INFO - Epoch(train) [155][100/940] lr: 1.3726e-01 eta: 10:11:40 time: 0.3734 data_time: 0.0144 memory: 8039 grad_norm: 1.7476 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5269 loss: 2.5269 2022/08/20 17:40:24 - mmengine - INFO - Epoch(train) [155][200/940] lr: 1.3726e-01 eta: 10:11:03 time: 0.3914 data_time: 0.0152 memory: 8039 grad_norm: 1.7687 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5048 loss: 2.5048 2022/08/20 17:40:40 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 17:41:04 - mmengine - INFO - Epoch(train) [155][300/940] lr: 1.3726e-01 eta: 10:10:26 time: 0.4171 data_time: 0.0149 memory: 8039 grad_norm: 1.7250 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2081 loss: 2.2081 2022/08/20 17:41:43 - mmengine - INFO - Epoch(train) [155][400/940] lr: 1.3726e-01 eta: 10:09:48 time: 0.4101 data_time: 0.0159 memory: 8039 grad_norm: 1.7188 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3144 loss: 2.3144 2022/08/20 17:42:22 - mmengine - INFO - Epoch(train) [155][500/940] lr: 1.3726e-01 eta: 10:09:10 time: 0.3695 data_time: 0.0151 memory: 8039 grad_norm: 1.7558 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4035 loss: 2.4035 2022/08/20 17:43:00 - mmengine - INFO - Epoch(train) [155][600/940] lr: 1.3726e-01 eta: 10:08:31 time: 0.3713 data_time: 0.0158 memory: 8039 grad_norm: 1.7458 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4323 loss: 2.4323 2022/08/20 17:43:38 - mmengine - INFO - Epoch(train) [155][700/940] lr: 1.3726e-01 eta: 10:07:53 time: 0.4086 data_time: 0.0151 memory: 8039 grad_norm: 1.7584 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5391 loss: 2.5391 2022/08/20 17:44:18 - mmengine - INFO - Epoch(train) [155][800/940] lr: 1.3726e-01 eta: 10:07:15 time: 0.4475 data_time: 0.0162 memory: 8039 grad_norm: 1.7240 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6534 loss: 2.6534 2022/08/20 17:44:56 - mmengine - INFO - Epoch(train) [155][900/940] lr: 1.3726e-01 eta: 10:06:37 time: 0.4120 data_time: 0.0166 memory: 8039 grad_norm: 1.7286 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7267 loss: 2.7267 2022/08/20 17:45:11 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 17:45:11 - mmengine - INFO - Epoch(train) [155][940/940] lr: 1.3726e-01 eta: 10:06:22 time: 0.3808 data_time: 0.0138 memory: 8039 grad_norm: 1.7891 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4944 loss: 2.4944 2022/08/20 17:45:31 - mmengine - INFO - Epoch(val) [155][78/78] acc/top1: 0.4719 acc/top5: 0.7337 acc/mean1: 0.4719 2022/08/20 17:45:31 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb/best_acc/top1_epoch_151.pth is removed 2022/08/20 17:45:34 - mmengine - INFO - The best checkpoint with 0.4719 acc/top1 at 156 epoch is saved to best_acc/top1_epoch_156.pth. 2022/08/20 17:46:15 - mmengine - INFO - Epoch(train) [156][100/940] lr: 1.3494e-01 eta: 10:05:45 time: 0.4448 data_time: 0.0158 memory: 8039 grad_norm: 1.7314 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4900 loss: 2.4900 2022/08/20 17:46:53 - mmengine - INFO - Epoch(train) [156][200/940] lr: 1.3494e-01 eta: 10:05:06 time: 0.3984 data_time: 0.0157 memory: 8039 grad_norm: 1.6845 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4539 loss: 2.4539 2022/08/20 17:47:31 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 17:47:31 - mmengine - INFO - Epoch(train) [156][300/940] lr: 1.3494e-01 eta: 10:04:27 time: 0.3700 data_time: 0.0158 memory: 8039 grad_norm: 1.7381 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4226 loss: 2.4226 2022/08/20 17:48:09 - mmengine - INFO - Epoch(train) [156][400/940] lr: 1.3494e-01 eta: 10:03:49 time: 0.3723 data_time: 0.0167 memory: 8039 grad_norm: 1.7422 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7988 loss: 2.7988 2022/08/20 17:48:48 - mmengine - INFO - Epoch(train) [156][500/940] lr: 1.3494e-01 eta: 10:03:11 time: 0.3674 data_time: 0.0162 memory: 8039 grad_norm: 1.7269 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6445 loss: 2.6445 2022/08/20 17:49:27 - mmengine - INFO - Epoch(train) [156][600/940] lr: 1.3494e-01 eta: 10:02:33 time: 0.3796 data_time: 0.0144 memory: 8039 grad_norm: 1.7137 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5063 loss: 2.5063 2022/08/20 17:50:06 - mmengine - INFO - Epoch(train) [156][700/940] lr: 1.3494e-01 eta: 10:01:55 time: 0.4147 data_time: 0.0155 memory: 8039 grad_norm: 1.7518 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5296 loss: 2.5296 2022/08/20 17:50:44 - mmengine - INFO - Epoch(train) [156][800/940] lr: 1.3494e-01 eta: 10:01:17 time: 0.4312 data_time: 0.0185 memory: 8039 grad_norm: 1.7606 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7315 loss: 2.7315 2022/08/20 17:51:24 - mmengine - INFO - Epoch(train) [156][900/940] lr: 1.3494e-01 eta: 10:00:39 time: 0.4263 data_time: 0.0155 memory: 8039 grad_norm: 1.7719 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7359 loss: 2.7359 2022/08/20 17:51:38 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 17:51:38 - mmengine - INFO - Epoch(train) [156][940/940] lr: 1.3494e-01 eta: 10:00:23 time: 0.3527 data_time: 0.0161 memory: 8039 grad_norm: 1.8296 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8314 loss: 2.8314 2022/08/20 17:51:38 - mmengine - INFO - Saving checkpoint at 156 epochs 2022/08/20 17:52:22 - mmengine - INFO - Epoch(train) [157][100/940] lr: 1.3262e-01 eta: 9:59:46 time: 0.3671 data_time: 0.0153 memory: 8039 grad_norm: 1.7156 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5609 loss: 2.5609 2022/08/20 17:53:00 - mmengine - INFO - Epoch(train) [157][200/940] lr: 1.3262e-01 eta: 9:59:07 time: 0.3683 data_time: 0.0148 memory: 8039 grad_norm: 1.7351 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3879 loss: 2.3879 2022/08/20 17:53:39 - mmengine - INFO - Epoch(train) [157][300/940] lr: 1.3262e-01 eta: 9:58:29 time: 0.3721 data_time: 0.0152 memory: 8039 grad_norm: 1.7778 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7608 loss: 2.7608 2022/08/20 17:54:02 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 17:54:17 - mmengine - INFO - Epoch(train) [157][400/940] lr: 1.3262e-01 eta: 9:57:51 time: 0.3676 data_time: 0.0163 memory: 8039 grad_norm: 1.7503 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5910 loss: 2.5910 2022/08/20 17:54:57 - mmengine - INFO - Epoch(train) [157][500/940] lr: 1.3262e-01 eta: 9:57:13 time: 0.3781 data_time: 0.0152 memory: 8039 grad_norm: 1.7716 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3220 loss: 2.3220 2022/08/20 17:55:37 - mmengine - INFO - Epoch(train) [157][600/940] lr: 1.3262e-01 eta: 9:56:36 time: 0.3699 data_time: 0.0147 memory: 8039 grad_norm: 1.7869 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5006 loss: 2.5006 2022/08/20 17:56:15 - mmengine - INFO - Epoch(train) [157][700/940] lr: 1.3262e-01 eta: 9:55:58 time: 0.3878 data_time: 0.0163 memory: 8039 grad_norm: 1.7446 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3966 loss: 2.3966 2022/08/20 17:56:54 - mmengine - INFO - Epoch(train) [157][800/940] lr: 1.3262e-01 eta: 9:55:20 time: 0.3750 data_time: 0.0164 memory: 8039 grad_norm: 1.7633 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6776 loss: 2.6776 2022/08/20 17:57:32 - mmengine - INFO - Epoch(train) [157][900/940] lr: 1.3262e-01 eta: 9:54:41 time: 0.3862 data_time: 0.0150 memory: 8039 grad_norm: 1.7393 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7486 loss: 2.7486 2022/08/20 17:57:47 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 17:57:47 - mmengine - INFO - Epoch(train) [157][940/940] lr: 1.3262e-01 eta: 9:54:25 time: 0.3669 data_time: 0.0141 memory: 8039 grad_norm: 1.8183 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.5834 loss: 2.5834 2022/08/20 17:58:29 - mmengine - INFO - Epoch(train) [158][100/940] lr: 1.3032e-01 eta: 9:53:49 time: 0.4608 data_time: 0.0149 memory: 8039 grad_norm: 1.7981 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3271 loss: 2.3271 2022/08/20 17:59:07 - mmengine - INFO - Epoch(train) [158][200/940] lr: 1.3032e-01 eta: 9:53:11 time: 0.4050 data_time: 0.0155 memory: 8039 grad_norm: 1.7838 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4104 loss: 2.4104 2022/08/20 17:59:47 - mmengine - INFO - Epoch(train) [158][300/940] lr: 1.3032e-01 eta: 9:52:34 time: 0.4235 data_time: 0.0157 memory: 8039 grad_norm: 1.7570 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5430 loss: 2.5430 2022/08/20 18:00:30 - mmengine - INFO - Epoch(train) [158][400/940] lr: 1.3032e-01 eta: 9:51:58 time: 0.4238 data_time: 0.0151 memory: 8039 grad_norm: 1.7894 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4752 loss: 2.4752 2022/08/20 18:00:38 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 18:01:08 - mmengine - INFO - Epoch(train) [158][500/940] lr: 1.3032e-01 eta: 9:51:20 time: 0.3938 data_time: 0.0155 memory: 8039 grad_norm: 1.7859 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6470 loss: 2.6470 2022/08/20 18:01:47 - mmengine - INFO - Epoch(train) [158][600/940] lr: 1.3032e-01 eta: 9:50:42 time: 0.4142 data_time: 0.0145 memory: 8039 grad_norm: 1.7823 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3849 loss: 2.3849 2022/08/20 18:02:25 - mmengine - INFO - Epoch(train) [158][700/940] lr: 1.3032e-01 eta: 9:50:03 time: 0.4033 data_time: 0.0156 memory: 8039 grad_norm: 1.7835 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7121 loss: 2.7121 2022/08/20 18:03:03 - mmengine - INFO - Epoch(train) [158][800/940] lr: 1.3032e-01 eta: 9:49:25 time: 0.3853 data_time: 0.0144 memory: 8039 grad_norm: 1.7496 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5374 loss: 2.5374 2022/08/20 18:03:42 - mmengine - INFO - Epoch(train) [158][900/940] lr: 1.3032e-01 eta: 9:48:46 time: 0.3715 data_time: 0.0162 memory: 8039 grad_norm: 1.7557 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6044 loss: 2.6044 2022/08/20 18:03:57 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 18:03:57 - mmengine - INFO - Epoch(train) [158][940/940] lr: 1.3032e-01 eta: 9:48:31 time: 0.3827 data_time: 0.0162 memory: 8039 grad_norm: 1.7806 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 2.5383 loss: 2.5383 2022/08/20 18:04:38 - mmengine - INFO - Epoch(train) [159][100/940] lr: 1.2802e-01 eta: 9:47:54 time: 0.3774 data_time: 0.0162 memory: 8039 grad_norm: 1.8219 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2268 loss: 2.2268 2022/08/20 18:05:17 - mmengine - INFO - Epoch(train) [159][200/940] lr: 1.2802e-01 eta: 9:47:16 time: 0.3710 data_time: 0.0156 memory: 8039 grad_norm: 1.7711 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5780 loss: 2.5780 2022/08/20 18:05:56 - mmengine - INFO - Epoch(train) [159][300/940] lr: 1.2802e-01 eta: 9:46:38 time: 0.3935 data_time: 0.0150 memory: 8039 grad_norm: 1.7820 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7126 loss: 2.7126 2022/08/20 18:06:35 - mmengine - INFO - Epoch(train) [159][400/940] lr: 1.2802e-01 eta: 9:46:00 time: 0.3994 data_time: 0.0178 memory: 8039 grad_norm: 1.7736 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0787 loss: 2.0787 2022/08/20 18:07:05 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 18:07:13 - mmengine - INFO - Epoch(train) [159][500/940] lr: 1.2802e-01 eta: 9:45:22 time: 0.3719 data_time: 0.0163 memory: 8039 grad_norm: 1.8223 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7509 loss: 2.7509 2022/08/20 18:07:51 - mmengine - INFO - Epoch(train) [159][600/940] lr: 1.2802e-01 eta: 9:44:43 time: 0.3634 data_time: 0.0172 memory: 8039 grad_norm: 1.7853 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5609 loss: 2.5609 2022/08/20 18:08:28 - mmengine - INFO - Epoch(train) [159][700/940] lr: 1.2802e-01 eta: 9:44:04 time: 0.3714 data_time: 0.0173 memory: 8039 grad_norm: 1.8222 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4498 loss: 2.4498 2022/08/20 18:09:07 - mmengine - INFO - Epoch(train) [159][800/940] lr: 1.2802e-01 eta: 9:43:26 time: 0.3712 data_time: 0.0164 memory: 8039 grad_norm: 1.7578 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3309 loss: 2.3309 2022/08/20 18:09:44 - mmengine - INFO - Epoch(train) [159][900/940] lr: 1.2802e-01 eta: 9:42:47 time: 0.3820 data_time: 0.0162 memory: 8039 grad_norm: 1.7900 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3231 loss: 2.3231 2022/08/20 18:09:59 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 18:09:59 - mmengine - INFO - Epoch(train) [159][940/940] lr: 1.2802e-01 eta: 9:42:31 time: 0.3616 data_time: 0.0147 memory: 8039 grad_norm: 1.7779 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.6019 loss: 2.6019 2022/08/20 18:10:38 - mmengine - INFO - Epoch(train) [160][100/940] lr: 1.2574e-01 eta: 9:41:53 time: 0.3722 data_time: 0.0169 memory: 8039 grad_norm: 1.7833 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5577 loss: 2.5577 2022/08/20 18:11:15 - mmengine - INFO - Epoch(train) [160][200/940] lr: 1.2574e-01 eta: 9:41:14 time: 0.3746 data_time: 0.0167 memory: 8039 grad_norm: 1.8119 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3825 loss: 2.3825 2022/08/20 18:11:54 - mmengine - INFO - Epoch(train) [160][300/940] lr: 1.2574e-01 eta: 9:40:36 time: 0.3740 data_time: 0.0153 memory: 8039 grad_norm: 1.7967 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4836 loss: 2.4836 2022/08/20 18:12:34 - mmengine - INFO - Epoch(train) [160][400/940] lr: 1.2574e-01 eta: 9:39:59 time: 0.3753 data_time: 0.0151 memory: 8039 grad_norm: 1.8199 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6610 loss: 2.6610 2022/08/20 18:13:14 - mmengine - INFO - Epoch(train) [160][500/940] lr: 1.2574e-01 eta: 9:39:21 time: 0.3883 data_time: 0.0153 memory: 8039 grad_norm: 1.8003 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3997 loss: 2.3997 2022/08/20 18:13:30 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 18:13:53 - mmengine - INFO - Epoch(train) [160][600/940] lr: 1.2574e-01 eta: 9:38:43 time: 0.3679 data_time: 0.0162 memory: 8039 grad_norm: 1.8027 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4167 loss: 2.4167 2022/08/20 18:14:31 - mmengine - INFO - Epoch(train) [160][700/940] lr: 1.2574e-01 eta: 9:38:05 time: 0.3945 data_time: 0.0150 memory: 8039 grad_norm: 1.8211 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4703 loss: 2.4703 2022/08/20 18:15:10 - mmengine - INFO - Epoch(train) [160][800/940] lr: 1.2574e-01 eta: 9:37:27 time: 0.4067 data_time: 0.0152 memory: 8039 grad_norm: 1.8001 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4703 loss: 2.4703 2022/08/20 18:15:48 - mmengine - INFO - Epoch(train) [160][900/940] lr: 1.2574e-01 eta: 9:36:48 time: 0.3888 data_time: 0.0150 memory: 8039 grad_norm: 1.8012 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5629 loss: 2.5629 2022/08/20 18:16:03 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 18:16:03 - mmengine - INFO - Epoch(train) [160][940/940] lr: 1.2574e-01 eta: 9:36:33 time: 0.3692 data_time: 0.0145 memory: 8039 grad_norm: 1.8545 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.4718 loss: 2.4718 2022/08/20 18:16:03 - mmengine - INFO - Saving checkpoint at 160 epochs 2022/08/20 18:16:25 - mmengine - INFO - Epoch(val) [160][78/78] acc/top1: 0.4843 acc/top5: 0.7516 acc/mean1: 0.4842 2022/08/20 18:16:25 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb/best_acc/top1_epoch_156.pth is removed 2022/08/20 18:16:28 - mmengine - INFO - The best checkpoint with 0.4843 acc/top1 at 161 epoch is saved to best_acc/top1_epoch_161.pth. 2022/08/20 18:17:08 - mmengine - INFO - Epoch(train) [161][100/940] lr: 1.2346e-01 eta: 9:35:55 time: 0.3889 data_time: 0.0153 memory: 8039 grad_norm: 1.7833 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4643 loss: 2.4643 2022/08/20 18:17:46 - mmengine - INFO - Epoch(train) [161][200/940] lr: 1.2346e-01 eta: 9:35:17 time: 0.3717 data_time: 0.0153 memory: 8039 grad_norm: 1.7929 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4277 loss: 2.4277 2022/08/20 18:18:24 - mmengine - INFO - Epoch(train) [161][300/940] lr: 1.2346e-01 eta: 9:34:38 time: 0.3708 data_time: 0.0152 memory: 8039 grad_norm: 1.7679 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.7024 loss: 2.7024 2022/08/20 18:19:04 - mmengine - INFO - Epoch(train) [161][400/940] lr: 1.2346e-01 eta: 9:34:01 time: 0.3669 data_time: 0.0154 memory: 8039 grad_norm: 1.8371 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7943 loss: 2.7943 2022/08/20 18:19:43 - mmengine - INFO - Epoch(train) [161][500/940] lr: 1.2346e-01 eta: 9:33:23 time: 0.3696 data_time: 0.0159 memory: 8039 grad_norm: 1.8005 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6203 loss: 2.6203 2022/08/20 18:20:20 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 18:20:20 - mmengine - INFO - Epoch(train) [161][600/940] lr: 1.2346e-01 eta: 9:32:44 time: 0.3687 data_time: 0.0167 memory: 8039 grad_norm: 1.7735 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4583 loss: 2.4583 2022/08/20 18:20:58 - mmengine - INFO - Epoch(train) [161][700/940] lr: 1.2346e-01 eta: 9:32:05 time: 0.3696 data_time: 0.0164 memory: 8039 grad_norm: 1.7870 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1458 loss: 2.1458 2022/08/20 18:21:37 - mmengine - INFO - Epoch(train) [161][800/940] lr: 1.2346e-01 eta: 9:31:27 time: 0.3844 data_time: 0.0158 memory: 8039 grad_norm: 1.8202 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6604 loss: 2.6604 2022/08/20 18:22:15 - mmengine - INFO - Epoch(train) [161][900/940] lr: 1.2346e-01 eta: 9:30:49 time: 0.3864 data_time: 0.0149 memory: 8039 grad_norm: 1.8047 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6334 loss: 2.6334 2022/08/20 18:22:31 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 18:22:31 - mmengine - INFO - Epoch(train) [161][940/940] lr: 1.2346e-01 eta: 9:30:34 time: 0.3907 data_time: 0.0156 memory: 8039 grad_norm: 1.8148 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.4263 loss: 2.4263 2022/08/20 18:23:11 - mmengine - INFO - Epoch(train) [162][100/940] lr: 1.2120e-01 eta: 9:29:56 time: 0.3831 data_time: 0.0177 memory: 8039 grad_norm: 1.7967 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1189 loss: 2.1189 2022/08/20 18:23:51 - mmengine - INFO - Epoch(train) [162][200/940] lr: 1.2120e-01 eta: 9:29:19 time: 0.3917 data_time: 0.0163 memory: 8039 grad_norm: 1.7970 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2384 loss: 2.2384 2022/08/20 18:24:30 - mmengine - INFO - Epoch(train) [162][300/940] lr: 1.2120e-01 eta: 9:28:41 time: 0.3831 data_time: 0.0166 memory: 8039 grad_norm: 1.8306 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2913 loss: 2.2913 2022/08/20 18:25:09 - mmengine - INFO - Epoch(train) [162][400/940] lr: 1.2120e-01 eta: 9:28:03 time: 0.4020 data_time: 0.0158 memory: 8039 grad_norm: 1.8337 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9260 loss: 2.9260 2022/08/20 18:25:47 - mmengine - INFO - Epoch(train) [162][500/940] lr: 1.2120e-01 eta: 9:27:24 time: 0.4008 data_time: 0.0158 memory: 8039 grad_norm: 1.8353 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6006 loss: 2.6006 2022/08/20 18:26:25 - mmengine - INFO - Epoch(train) [162][600/940] lr: 1.2120e-01 eta: 9:26:46 time: 0.3629 data_time: 0.0158 memory: 8039 grad_norm: 1.8443 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6784 loss: 2.6784 2022/08/20 18:26:48 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 18:27:03 - mmengine - INFO - Epoch(train) [162][700/940] lr: 1.2120e-01 eta: 9:26:07 time: 0.3719 data_time: 0.0159 memory: 8039 grad_norm: 1.8546 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5382 loss: 2.5382 2022/08/20 18:27:42 - mmengine - INFO - Epoch(train) [162][800/940] lr: 1.2120e-01 eta: 9:25:29 time: 0.3739 data_time: 0.0159 memory: 8039 grad_norm: 1.8418 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3358 loss: 2.3358 2022/08/20 18:28:21 - mmengine - INFO - Epoch(train) [162][900/940] lr: 1.2120e-01 eta: 9:24:51 time: 0.3967 data_time: 0.0162 memory: 8039 grad_norm: 1.8507 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3323 loss: 2.3323 2022/08/20 18:28:36 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 18:28:36 - mmengine - INFO - Epoch(train) [162][940/940] lr: 1.2120e-01 eta: 9:24:36 time: 0.3672 data_time: 0.0148 memory: 8039 grad_norm: 1.8573 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5896 loss: 2.5896 2022/08/20 18:29:18 - mmengine - INFO - Epoch(train) [163][100/940] lr: 1.1895e-01 eta: 9:23:59 time: 0.4420 data_time: 0.0166 memory: 8039 grad_norm: 1.8666 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3068 loss: 2.3068 2022/08/20 18:29:56 - mmengine - INFO - Epoch(train) [163][200/940] lr: 1.1895e-01 eta: 9:23:21 time: 0.3736 data_time: 0.0163 memory: 8039 grad_norm: 1.8314 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4009 loss: 2.4009 2022/08/20 18:30:34 - mmengine - INFO - Epoch(train) [163][300/940] lr: 1.1895e-01 eta: 9:22:42 time: 0.3739 data_time: 0.0159 memory: 8039 grad_norm: 1.8371 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4737 loss: 2.4737 2022/08/20 18:31:12 - mmengine - INFO - Epoch(train) [163][400/940] lr: 1.1895e-01 eta: 9:22:04 time: 0.3742 data_time: 0.0163 memory: 8039 grad_norm: 1.8258 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4148 loss: 2.4148 2022/08/20 18:31:50 - mmengine - INFO - Epoch(train) [163][500/940] lr: 1.1895e-01 eta: 9:21:25 time: 0.3693 data_time: 0.0168 memory: 8039 grad_norm: 1.8064 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5344 loss: 2.5344 2022/08/20 18:32:28 - mmengine - INFO - Epoch(train) [163][600/940] lr: 1.1895e-01 eta: 9:20:47 time: 0.3803 data_time: 0.0164 memory: 8039 grad_norm: 1.8536 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5944 loss: 2.5944 2022/08/20 18:33:08 - mmengine - INFO - Epoch(train) [163][700/940] lr: 1.1895e-01 eta: 9:20:09 time: 0.3722 data_time: 0.0152 memory: 8039 grad_norm: 1.8644 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5738 loss: 2.5738 2022/08/20 18:33:15 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 18:33:47 - mmengine - INFO - Epoch(train) [163][800/940] lr: 1.1895e-01 eta: 9:19:31 time: 0.3671 data_time: 0.0156 memory: 8039 grad_norm: 1.8248 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6093 loss: 2.6093 2022/08/20 18:34:25 - mmengine - INFO - Epoch(train) [163][900/940] lr: 1.1895e-01 eta: 9:18:53 time: 0.3699 data_time: 0.0149 memory: 8039 grad_norm: 1.8389 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4388 loss: 2.4388 2022/08/20 18:34:40 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 18:34:40 - mmengine - INFO - Epoch(train) [163][940/940] lr: 1.1895e-01 eta: 9:18:37 time: 0.3754 data_time: 0.0141 memory: 8039 grad_norm: 1.9023 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.3804 loss: 2.3804 2022/08/20 18:35:21 - mmengine - INFO - Epoch(train) [164][100/940] lr: 1.1671e-01 eta: 9:18:00 time: 0.3970 data_time: 0.0153 memory: 8039 grad_norm: 1.8030 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8360 loss: 2.8360 2022/08/20 18:36:00 - mmengine - INFO - Epoch(train) [164][200/940] lr: 1.1671e-01 eta: 9:17:22 time: 0.4265 data_time: 0.0154 memory: 8039 grad_norm: 1.8336 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4670 loss: 2.4670 2022/08/20 18:36:38 - mmengine - INFO - Epoch(train) [164][300/940] lr: 1.1671e-01 eta: 9:16:44 time: 0.4007 data_time: 0.0153 memory: 8039 grad_norm: 1.8480 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2538 loss: 2.2538 2022/08/20 18:37:19 - mmengine - INFO - Epoch(train) [164][400/940] lr: 1.1671e-01 eta: 9:16:07 time: 0.3708 data_time: 0.0161 memory: 8039 grad_norm: 1.8720 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3800 loss: 2.3800 2022/08/20 18:37:59 - mmengine - INFO - Epoch(train) [164][500/940] lr: 1.1671e-01 eta: 9:15:29 time: 0.3701 data_time: 0.0155 memory: 8039 grad_norm: 1.8651 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5110 loss: 2.5110 2022/08/20 18:38:38 - mmengine - INFO - Epoch(train) [164][600/940] lr: 1.1671e-01 eta: 9:14:51 time: 0.3754 data_time: 0.0153 memory: 8039 grad_norm: 1.8920 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4845 loss: 2.4845 2022/08/20 18:39:16 - mmengine - INFO - Epoch(train) [164][700/940] lr: 1.1671e-01 eta: 9:14:13 time: 0.3751 data_time: 0.0151 memory: 8039 grad_norm: 1.7920 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.4329 loss: 2.4329 2022/08/20 18:39:47 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 18:39:55 - mmengine - INFO - Epoch(train) [164][800/940] lr: 1.1671e-01 eta: 9:13:34 time: 0.3738 data_time: 0.0169 memory: 8039 grad_norm: 1.8288 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0090 loss: 2.0090 2022/08/20 18:40:33 - mmengine - INFO - Epoch(train) [164][900/940] lr: 1.1671e-01 eta: 9:12:56 time: 0.3796 data_time: 0.0167 memory: 8039 grad_norm: 1.8129 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1741 loss: 2.1741 2022/08/20 18:40:49 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 18:40:49 - mmengine - INFO - Epoch(train) [164][940/940] lr: 1.1671e-01 eta: 9:12:41 time: 0.3700 data_time: 0.0159 memory: 8039 grad_norm: 1.8436 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7774 loss: 2.7774 2022/08/20 18:40:49 - mmengine - INFO - Saving checkpoint at 164 epochs 2022/08/20 18:41:32 - mmengine - INFO - Epoch(train) [165][100/940] lr: 1.1449e-01 eta: 9:12:03 time: 0.3850 data_time: 0.0165 memory: 8039 grad_norm: 1.8564 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4742 loss: 2.4742 2022/08/20 18:42:10 - mmengine - INFO - Epoch(train) [165][200/940] lr: 1.1449e-01 eta: 9:11:24 time: 0.3772 data_time: 0.0169 memory: 8039 grad_norm: 1.8330 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4378 loss: 2.4378 2022/08/20 18:42:49 - mmengine - INFO - Epoch(train) [165][300/940] lr: 1.1449e-01 eta: 9:10:46 time: 0.4054 data_time: 0.0169 memory: 8039 grad_norm: 1.8494 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3624 loss: 2.3624 2022/08/20 18:43:27 - mmengine - INFO - Epoch(train) [165][400/940] lr: 1.1449e-01 eta: 9:10:08 time: 0.3701 data_time: 0.0157 memory: 8039 grad_norm: 1.8362 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3299 loss: 2.3299 2022/08/20 18:44:05 - mmengine - INFO - Epoch(train) [165][500/940] lr: 1.1449e-01 eta: 9:09:29 time: 0.3701 data_time: 0.0153 memory: 8039 grad_norm: 1.8765 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.5436 loss: 2.5436 2022/08/20 18:44:43 - mmengine - INFO - Epoch(train) [165][600/940] lr: 1.1449e-01 eta: 9:08:51 time: 0.3729 data_time: 0.0149 memory: 8039 grad_norm: 1.8641 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4806 loss: 2.4806 2022/08/20 18:45:21 - mmengine - INFO - Epoch(train) [165][700/940] lr: 1.1449e-01 eta: 9:08:12 time: 0.3777 data_time: 0.0159 memory: 8039 grad_norm: 1.9040 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3273 loss: 2.3273 2022/08/20 18:46:00 - mmengine - INFO - Epoch(train) [165][800/940] lr: 1.1449e-01 eta: 9:07:34 time: 0.3671 data_time: 0.0153 memory: 8039 grad_norm: 1.8385 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6327 loss: 2.6327 2022/08/20 18:46:15 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 18:46:38 - mmengine - INFO - Epoch(train) [165][900/940] lr: 1.1449e-01 eta: 9:06:55 time: 0.3703 data_time: 0.0162 memory: 8039 grad_norm: 1.8207 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3015 loss: 2.3015 2022/08/20 18:46:53 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 18:46:53 - mmengine - INFO - Epoch(train) [165][940/940] lr: 1.1449e-01 eta: 9:06:40 time: 0.3729 data_time: 0.0153 memory: 8039 grad_norm: 1.9032 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 2.4861 loss: 2.4861 2022/08/20 18:47:12 - mmengine - INFO - Epoch(val) [165][78/78] acc/top1: 0.5136 acc/top5: 0.7629 acc/mean1: 0.5134 2022/08/20 18:47:12 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb/best_acc/top1_epoch_161.pth is removed 2022/08/20 18:47:15 - mmengine - INFO - The best checkpoint with 0.5136 acc/top1 at 166 epoch is saved to best_acc/top1_epoch_166.pth. 2022/08/20 18:47:54 - mmengine - INFO - Epoch(train) [166][100/940] lr: 1.1228e-01 eta: 9:06:02 time: 0.3857 data_time: 0.0170 memory: 8039 grad_norm: 1.8686 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3735 loss: 2.3735 2022/08/20 18:48:32 - mmengine - INFO - Epoch(train) [166][200/940] lr: 1.1228e-01 eta: 9:05:23 time: 0.4005 data_time: 0.0176 memory: 8039 grad_norm: 1.8428 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4352 loss: 2.4352 2022/08/20 18:49:11 - mmengine - INFO - Epoch(train) [166][300/940] lr: 1.1228e-01 eta: 9:04:45 time: 0.4211 data_time: 0.0167 memory: 8039 grad_norm: 1.8835 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7189 loss: 2.7189 2022/08/20 18:49:52 - mmengine - INFO - Epoch(train) [166][400/940] lr: 1.1228e-01 eta: 9:04:08 time: 0.4703 data_time: 0.0165 memory: 8039 grad_norm: 1.8514 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6041 loss: 2.6041 2022/08/20 18:50:30 - mmengine - INFO - Epoch(train) [166][500/940] lr: 1.1228e-01 eta: 9:03:30 time: 0.3925 data_time: 0.0160 memory: 8039 grad_norm: 1.8314 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5545 loss: 2.5545 2022/08/20 18:51:09 - mmengine - INFO - Epoch(train) [166][600/940] lr: 1.1228e-01 eta: 9:02:52 time: 0.4182 data_time: 0.0163 memory: 8039 grad_norm: 1.8619 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4938 loss: 2.4938 2022/08/20 18:51:49 - mmengine - INFO - Epoch(train) [166][700/940] lr: 1.1228e-01 eta: 9:02:14 time: 0.4152 data_time: 0.0165 memory: 8039 grad_norm: 1.8374 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5453 loss: 2.5453 2022/08/20 18:52:27 - mmengine - INFO - Epoch(train) [166][800/940] lr: 1.1228e-01 eta: 9:01:36 time: 0.3687 data_time: 0.0159 memory: 8039 grad_norm: 1.8769 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3899 loss: 2.3899 2022/08/20 18:53:06 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 18:53:06 - mmengine - INFO - Epoch(train) [166][900/940] lr: 1.1228e-01 eta: 9:00:57 time: 0.4061 data_time: 0.0156 memory: 8039 grad_norm: 1.9045 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4312 loss: 2.4312 2022/08/20 18:53:20 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 18:53:20 - mmengine - INFO - Epoch(train) [166][940/940] lr: 1.1228e-01 eta: 9:00:42 time: 0.3727 data_time: 0.0145 memory: 8039 grad_norm: 1.9429 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.4883 loss: 2.4883 2022/08/20 18:54:01 - mmengine - INFO - Epoch(train) [167][100/940] lr: 1.1008e-01 eta: 9:00:05 time: 0.4137 data_time: 0.0155 memory: 8039 grad_norm: 1.8718 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2432 loss: 2.2432 2022/08/20 18:54:40 - mmengine - INFO - Epoch(train) [167][200/940] lr: 1.1008e-01 eta: 8:59:26 time: 0.4202 data_time: 0.0154 memory: 8039 grad_norm: 1.8740 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5194 loss: 2.5194 2022/08/20 18:55:17 - mmengine - INFO - Epoch(train) [167][300/940] lr: 1.1008e-01 eta: 8:58:47 time: 0.3689 data_time: 0.0150 memory: 8039 grad_norm: 1.9318 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4149 loss: 2.4149 2022/08/20 18:55:55 - mmengine - INFO - Epoch(train) [167][400/940] lr: 1.1008e-01 eta: 8:58:09 time: 0.3691 data_time: 0.0179 memory: 8039 grad_norm: 1.8628 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3657 loss: 2.3657 2022/08/20 18:56:33 - mmengine - INFO - Epoch(train) [167][500/940] lr: 1.1008e-01 eta: 8:57:30 time: 0.3736 data_time: 0.0161 memory: 8039 grad_norm: 1.8986 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.3896 loss: 2.3896 2022/08/20 18:57:12 - mmengine - INFO - Epoch(train) [167][600/940] lr: 1.1008e-01 eta: 8:56:52 time: 0.3803 data_time: 0.0154 memory: 8039 grad_norm: 1.8668 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5188 loss: 2.5188 2022/08/20 18:57:50 - mmengine - INFO - Epoch(train) [167][700/940] lr: 1.1008e-01 eta: 8:56:14 time: 0.3815 data_time: 0.0170 memory: 8039 grad_norm: 1.9194 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5316 loss: 2.5316 2022/08/20 18:58:28 - mmengine - INFO - Epoch(train) [167][800/940] lr: 1.1008e-01 eta: 8:55:35 time: 0.3721 data_time: 0.0157 memory: 8039 grad_norm: 1.9067 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4026 loss: 2.4026 2022/08/20 18:59:06 - mmengine - INFO - Epoch(train) [167][900/940] lr: 1.1008e-01 eta: 8:54:57 time: 0.3804 data_time: 0.0149 memory: 8039 grad_norm: 1.8818 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3097 loss: 2.3097 2022/08/20 18:59:21 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 18:59:21 - mmengine - INFO - Epoch(train) [167][940/940] lr: 1.1008e-01 eta: 8:54:41 time: 0.3705 data_time: 0.0148 memory: 8039 grad_norm: 1.9143 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.3721 loss: 2.3721 2022/08/20 18:59:31 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 19:00:02 - mmengine - INFO - Epoch(train) [168][100/940] lr: 1.0789e-01 eta: 8:54:04 time: 0.3976 data_time: 0.0162 memory: 8039 grad_norm: 1.9108 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.5611 loss: 2.5611 2022/08/20 19:00:41 - mmengine - INFO - Epoch(train) [168][200/940] lr: 1.0789e-01 eta: 8:53:26 time: 0.4050 data_time: 0.0157 memory: 8039 grad_norm: 1.8874 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1570 loss: 2.1570 2022/08/20 19:01:21 - mmengine - INFO - Epoch(train) [168][300/940] lr: 1.0789e-01 eta: 8:52:48 time: 0.4172 data_time: 0.0168 memory: 8039 grad_norm: 1.9302 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5354 loss: 2.5354 2022/08/20 19:02:00 - mmengine - INFO - Epoch(train) [168][400/940] lr: 1.0789e-01 eta: 8:52:10 time: 0.4040 data_time: 0.0165 memory: 8039 grad_norm: 1.9077 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5882 loss: 2.5882 2022/08/20 19:02:38 - mmengine - INFO - Epoch(train) [168][500/940] lr: 1.0789e-01 eta: 8:51:32 time: 0.3719 data_time: 0.0148 memory: 8039 grad_norm: 1.8801 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2926 loss: 2.2926 2022/08/20 19:03:16 - mmengine - INFO - Epoch(train) [168][600/940] lr: 1.0789e-01 eta: 8:50:53 time: 0.3745 data_time: 0.0149 memory: 8039 grad_norm: 1.8719 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3168 loss: 2.3168 2022/08/20 19:03:55 - mmengine - INFO - Epoch(train) [168][700/940] lr: 1.0789e-01 eta: 8:50:15 time: 0.3738 data_time: 0.0155 memory: 8039 grad_norm: 1.9329 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2265 loss: 2.2265 2022/08/20 19:04:34 - mmengine - INFO - Epoch(train) [168][800/940] lr: 1.0789e-01 eta: 8:49:37 time: 0.3804 data_time: 0.0171 memory: 8039 grad_norm: 1.8711 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5802 loss: 2.5802 2022/08/20 19:05:13 - mmengine - INFO - Epoch(train) [168][900/940] lr: 1.0789e-01 eta: 8:48:59 time: 0.3782 data_time: 0.0152 memory: 8039 grad_norm: 1.9205 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0622 loss: 2.0622 2022/08/20 19:05:28 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 19:05:28 - mmengine - INFO - Epoch(train) [168][940/940] lr: 1.0789e-01 eta: 8:48:44 time: 0.3568 data_time: 0.0142 memory: 8039 grad_norm: 1.9497 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.4598 loss: 2.4598 2022/08/20 19:05:29 - mmengine - INFO - Saving checkpoint at 168 epochs 2022/08/20 19:06:05 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 19:06:12 - mmengine - INFO - Epoch(train) [169][100/940] lr: 1.0572e-01 eta: 8:48:06 time: 0.3755 data_time: 0.0164 memory: 8039 grad_norm: 1.9251 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2525 loss: 2.2525 2022/08/20 19:06:53 - mmengine - INFO - Epoch(train) [169][200/940] lr: 1.0572e-01 eta: 8:47:29 time: 0.3815 data_time: 0.0161 memory: 8039 grad_norm: 1.8940 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4471 loss: 2.4471 2022/08/20 19:07:33 - mmengine - INFO - Epoch(train) [169][300/940] lr: 1.0572e-01 eta: 8:46:51 time: 0.3950 data_time: 0.0171 memory: 8039 grad_norm: 1.8979 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5318 loss: 2.5318 2022/08/20 19:08:12 - mmengine - INFO - Epoch(train) [169][400/940] lr: 1.0572e-01 eta: 8:46:13 time: 0.3854 data_time: 0.0164 memory: 8039 grad_norm: 1.9519 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5327 loss: 2.5327 2022/08/20 19:08:52 - mmengine - INFO - Epoch(train) [169][500/940] lr: 1.0572e-01 eta: 8:45:36 time: 0.3830 data_time: 0.0164 memory: 8039 grad_norm: 1.9072 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3214 loss: 2.3214 2022/08/20 19:09:31 - mmengine - INFO - Epoch(train) [169][600/940] lr: 1.0572e-01 eta: 8:44:58 time: 0.3805 data_time: 0.0175 memory: 8039 grad_norm: 1.9233 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5659 loss: 2.5659 2022/08/20 19:10:11 - mmengine - INFO - Epoch(train) [169][700/940] lr: 1.0572e-01 eta: 8:44:20 time: 0.3713 data_time: 0.0174 memory: 8039 grad_norm: 1.8951 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3080 loss: 2.3080 2022/08/20 19:10:49 - mmengine - INFO - Epoch(train) [169][800/940] lr: 1.0572e-01 eta: 8:43:42 time: 0.3746 data_time: 0.0158 memory: 8039 grad_norm: 1.9192 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3450 loss: 2.3450 2022/08/20 19:11:28 - mmengine - INFO - Epoch(train) [169][900/940] lr: 1.0572e-01 eta: 8:43:04 time: 0.3704 data_time: 0.0158 memory: 8039 grad_norm: 1.9034 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8333 loss: 2.8333 2022/08/20 19:11:43 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 19:11:43 - mmengine - INFO - Epoch(train) [169][940/940] lr: 1.0572e-01 eta: 8:42:48 time: 0.3881 data_time: 0.0148 memory: 8039 grad_norm: 1.9804 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 2.2541 loss: 2.2541 2022/08/20 19:12:26 - mmengine - INFO - Epoch(train) [170][100/940] lr: 1.0356e-01 eta: 8:42:12 time: 0.4487 data_time: 0.0165 memory: 8039 grad_norm: 1.9181 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3677 loss: 2.3677 2022/08/20 19:12:42 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 19:13:05 - mmengine - INFO - Epoch(train) [170][200/940] lr: 1.0356e-01 eta: 8:41:34 time: 0.4125 data_time: 0.0161 memory: 8039 grad_norm: 1.9173 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3972 loss: 2.3972 2022/08/20 19:13:46 - mmengine - INFO - Epoch(train) [170][300/940] lr: 1.0356e-01 eta: 8:40:57 time: 0.4251 data_time: 0.0167 memory: 8039 grad_norm: 1.9140 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3659 loss: 2.3659 2022/08/20 19:14:25 - mmengine - INFO - Epoch(train) [170][400/940] lr: 1.0356e-01 eta: 8:40:19 time: 0.4246 data_time: 0.0173 memory: 8039 grad_norm: 1.9545 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2781 loss: 2.2781 2022/08/20 19:15:05 - mmengine - INFO - Epoch(train) [170][500/940] lr: 1.0356e-01 eta: 8:39:41 time: 0.4385 data_time: 0.0149 memory: 8039 grad_norm: 1.8957 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7056 loss: 2.7056 2022/08/20 19:15:43 - mmengine - INFO - Epoch(train) [170][600/940] lr: 1.0356e-01 eta: 8:39:03 time: 0.3975 data_time: 0.0161 memory: 8039 grad_norm: 1.9350 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.7453 loss: 2.7453 2022/08/20 19:16:22 - mmengine - INFO - Epoch(train) [170][700/940] lr: 1.0356e-01 eta: 8:38:25 time: 0.3717 data_time: 0.0158 memory: 8039 grad_norm: 1.9020 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2986 loss: 2.2986 2022/08/20 19:17:00 - mmengine - INFO - Epoch(train) [170][800/940] lr: 1.0356e-01 eta: 8:37:46 time: 0.3669 data_time: 0.0144 memory: 8039 grad_norm: 1.8850 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4600 loss: 2.4600 2022/08/20 19:17:38 - mmengine - INFO - Epoch(train) [170][900/940] lr: 1.0356e-01 eta: 8:37:08 time: 0.4065 data_time: 0.0166 memory: 8039 grad_norm: 1.8560 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4495 loss: 2.4495 2022/08/20 19:17:53 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 19:17:53 - mmengine - INFO - Epoch(train) [170][940/940] lr: 1.0356e-01 eta: 8:36:52 time: 0.3863 data_time: 0.0161 memory: 8039 grad_norm: 1.9674 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3226 loss: 2.3226 2022/08/20 19:18:13 - mmengine - INFO - Epoch(val) [170][78/78] acc/top1: 0.5084 acc/top5: 0.7655 acc/mean1: 0.5082 2022/08/20 19:18:54 - mmengine - INFO - Epoch(train) [171][100/940] lr: 1.0142e-01 eta: 8:36:16 time: 0.4133 data_time: 0.0150 memory: 8039 grad_norm: 1.9131 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5488 loss: 2.5488 2022/08/20 19:19:33 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 19:19:33 - mmengine - INFO - Epoch(train) [171][200/940] lr: 1.0142e-01 eta: 8:35:37 time: 0.4140 data_time: 0.0152 memory: 8039 grad_norm: 1.9028 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4581 loss: 2.4581 2022/08/20 19:20:12 - mmengine - INFO - Epoch(train) [171][300/940] lr: 1.0142e-01 eta: 8:34:59 time: 0.3697 data_time: 0.0159 memory: 8039 grad_norm: 1.9231 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1753 loss: 2.1753 2022/08/20 19:20:51 - mmengine - INFO - Epoch(train) [171][400/940] lr: 1.0142e-01 eta: 8:34:21 time: 0.3694 data_time: 0.0147 memory: 8039 grad_norm: 1.9415 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5311 loss: 2.5311 2022/08/20 19:21:29 - mmengine - INFO - Epoch(train) [171][500/940] lr: 1.0142e-01 eta: 8:33:42 time: 0.3716 data_time: 0.0158 memory: 8039 grad_norm: 1.9504 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7506 loss: 2.7506 2022/08/20 19:22:08 - mmengine - INFO - Epoch(train) [171][600/940] lr: 1.0142e-01 eta: 8:33:04 time: 0.3800 data_time: 0.0153 memory: 8039 grad_norm: 1.9458 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2686 loss: 2.2686 2022/08/20 19:22:46 - mmengine - INFO - Epoch(train) [171][700/940] lr: 1.0142e-01 eta: 8:32:26 time: 0.3688 data_time: 0.0152 memory: 8039 grad_norm: 1.8977 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4890 loss: 2.4890 2022/08/20 19:23:25 - mmengine - INFO - Epoch(train) [171][800/940] lr: 1.0142e-01 eta: 8:31:48 time: 0.3985 data_time: 0.0151 memory: 8039 grad_norm: 1.9434 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2649 loss: 2.2649 2022/08/20 19:24:03 - mmengine - INFO - Epoch(train) [171][900/940] lr: 1.0142e-01 eta: 8:31:09 time: 0.3776 data_time: 0.0160 memory: 8039 grad_norm: 1.8777 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0829 loss: 2.0829 2022/08/20 19:24:18 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 19:24:18 - mmengine - INFO - Epoch(train) [171][940/940] lr: 1.0142e-01 eta: 8:30:54 time: 0.3898 data_time: 0.0153 memory: 8039 grad_norm: 1.9712 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.7618 loss: 2.7618 2022/08/20 19:25:00 - mmengine - INFO - Epoch(train) [172][100/940] lr: 9.9292e-02 eta: 8:30:17 time: 0.3715 data_time: 0.0151 memory: 8039 grad_norm: 1.9836 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1781 loss: 2.1781 2022/08/20 19:25:37 - mmengine - INFO - Epoch(train) [172][200/940] lr: 9.9292e-02 eta: 8:29:38 time: 0.3679 data_time: 0.0159 memory: 8039 grad_norm: 1.9222 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3735 loss: 2.3735 2022/08/20 19:26:00 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 19:26:15 - mmengine - INFO - Epoch(train) [172][300/940] lr: 9.9292e-02 eta: 8:28:59 time: 0.3688 data_time: 0.0152 memory: 8039 grad_norm: 1.9532 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9079 loss: 1.9079 2022/08/20 19:26:54 - mmengine - INFO - Epoch(train) [172][400/940] lr: 9.9292e-02 eta: 8:28:21 time: 0.3921 data_time: 0.0164 memory: 8039 grad_norm: 1.9347 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2535 loss: 2.2535 2022/08/20 19:27:32 - mmengine - INFO - Epoch(train) [172][500/940] lr: 9.9292e-02 eta: 8:27:43 time: 0.3984 data_time: 0.0153 memory: 8039 grad_norm: 1.9578 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7326 loss: 2.7326 2022/08/20 19:28:11 - mmengine - INFO - Epoch(train) [172][600/940] lr: 9.9292e-02 eta: 8:27:04 time: 0.3762 data_time: 0.0152 memory: 8039 grad_norm: 1.9631 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6204 loss: 2.6204 2022/08/20 19:28:49 - mmengine - INFO - Epoch(train) [172][700/940] lr: 9.9292e-02 eta: 8:26:26 time: 0.3676 data_time: 0.0148 memory: 8039 grad_norm: 1.9549 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0335 loss: 2.0335 2022/08/20 19:29:28 - mmengine - INFO - Epoch(train) [172][800/940] lr: 9.9292e-02 eta: 8:25:48 time: 0.4174 data_time: 0.0160 memory: 8039 grad_norm: 1.9301 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5047 loss: 2.5047 2022/08/20 19:30:06 - mmengine - INFO - Epoch(train) [172][900/940] lr: 9.9292e-02 eta: 8:25:10 time: 0.3935 data_time: 0.0149 memory: 8039 grad_norm: 1.9696 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4149 loss: 2.4149 2022/08/20 19:30:22 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 19:30:22 - mmengine - INFO - Epoch(train) [172][940/940] lr: 9.9292e-02 eta: 8:24:54 time: 0.3792 data_time: 0.0147 memory: 8039 grad_norm: 2.0023 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3620 loss: 2.3620 2022/08/20 19:30:22 - mmengine - INFO - Saving checkpoint at 172 epochs 2022/08/20 19:31:05 - mmengine - INFO - Epoch(train) [173][100/940] lr: 9.7179e-02 eta: 8:24:16 time: 0.3937 data_time: 0.0164 memory: 8039 grad_norm: 1.9937 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4495 loss: 2.4495 2022/08/20 19:31:44 - mmengine - INFO - Epoch(train) [173][200/940] lr: 9.7179e-02 eta: 8:23:38 time: 0.4068 data_time: 0.0164 memory: 8039 grad_norm: 2.0290 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5677 loss: 2.5677 2022/08/20 19:32:22 - mmengine - INFO - Epoch(train) [173][300/940] lr: 9.7179e-02 eta: 8:22:59 time: 0.3867 data_time: 0.0151 memory: 8039 grad_norm: 1.9296 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5368 loss: 2.5368 2022/08/20 19:32:29 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 19:33:01 - mmengine - INFO - Epoch(train) [173][400/940] lr: 9.7179e-02 eta: 8:22:21 time: 0.3751 data_time: 0.0163 memory: 8039 grad_norm: 1.9694 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.2796 loss: 2.2796 2022/08/20 19:33:40 - mmengine - INFO - Epoch(train) [173][500/940] lr: 9.7179e-02 eta: 8:21:43 time: 0.3841 data_time: 0.0162 memory: 8039 grad_norm: 2.0059 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4146 loss: 2.4146 2022/08/20 19:34:20 - mmengine - INFO - Epoch(train) [173][600/940] lr: 9.7179e-02 eta: 8:21:06 time: 0.3674 data_time: 0.0157 memory: 8039 grad_norm: 2.0096 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3252 loss: 2.3252 2022/08/20 19:34:59 - mmengine - INFO - Epoch(train) [173][700/940] lr: 9.7179e-02 eta: 8:20:28 time: 0.3712 data_time: 0.0157 memory: 8039 grad_norm: 1.9579 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1100 loss: 2.1100 2022/08/20 19:35:38 - mmengine - INFO - Epoch(train) [173][800/940] lr: 9.7179e-02 eta: 8:19:49 time: 0.3715 data_time: 0.0149 memory: 8039 grad_norm: 1.9643 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.2093 loss: 2.2093 2022/08/20 19:36:17 - mmengine - INFO - Epoch(train) [173][900/940] lr: 9.7179e-02 eta: 8:19:11 time: 0.3721 data_time: 0.0154 memory: 8039 grad_norm: 1.9331 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3963 loss: 2.3963 2022/08/20 19:36:32 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 19:36:32 - mmengine - INFO - Epoch(train) [173][940/940] lr: 9.7179e-02 eta: 8:18:56 time: 0.3710 data_time: 0.0148 memory: 8039 grad_norm: 2.0187 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 2.3131 loss: 2.3131 2022/08/20 19:37:13 - mmengine - INFO - Epoch(train) [174][100/940] lr: 9.5082e-02 eta: 8:18:18 time: 0.3809 data_time: 0.0155 memory: 8039 grad_norm: 1.9777 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3215 loss: 2.3215 2022/08/20 19:37:51 - mmengine - INFO - Epoch(train) [174][200/940] lr: 9.5082e-02 eta: 8:17:40 time: 0.3825 data_time: 0.0152 memory: 8039 grad_norm: 2.0022 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3371 loss: 2.3371 2022/08/20 19:38:29 - mmengine - INFO - Epoch(train) [174][300/940] lr: 9.5082e-02 eta: 8:17:01 time: 0.3848 data_time: 0.0163 memory: 8039 grad_norm: 1.9313 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2951 loss: 2.2951 2022/08/20 19:39:00 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 19:39:07 - mmengine - INFO - Epoch(train) [174][400/940] lr: 9.5082e-02 eta: 8:16:23 time: 0.3697 data_time: 0.0164 memory: 8039 grad_norm: 2.0197 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5509 loss: 2.5509 2022/08/20 19:39:46 - mmengine - INFO - Epoch(train) [174][500/940] lr: 9.5082e-02 eta: 8:15:45 time: 0.4339 data_time: 0.0174 memory: 8039 grad_norm: 1.9613 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3959 loss: 2.3959 2022/08/20 19:40:24 - mmengine - INFO - Epoch(train) [174][600/940] lr: 9.5082e-02 eta: 8:15:06 time: 0.4007 data_time: 0.0155 memory: 8039 grad_norm: 1.9606 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5812 loss: 2.5812 2022/08/20 19:41:01 - mmengine - INFO - Epoch(train) [174][700/940] lr: 9.5082e-02 eta: 8:14:27 time: 0.3658 data_time: 0.0159 memory: 8039 grad_norm: 1.9802 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2229 loss: 2.2229 2022/08/20 19:41:40 - mmengine - INFO - Epoch(train) [174][800/940] lr: 9.5082e-02 eta: 8:13:49 time: 0.3765 data_time: 0.0163 memory: 8039 grad_norm: 2.0040 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2817 loss: 2.2817 2022/08/20 19:42:20 - mmengine - INFO - Epoch(train) [174][900/940] lr: 9.5082e-02 eta: 8:13:11 time: 0.3722 data_time: 0.0167 memory: 8039 grad_norm: 1.9529 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1823 loss: 2.1823 2022/08/20 19:42:35 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 19:42:35 - mmengine - INFO - Epoch(train) [174][940/940] lr: 9.5082e-02 eta: 8:12:56 time: 0.3602 data_time: 0.0160 memory: 8039 grad_norm: 2.0494 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7622 loss: 2.7622 2022/08/20 19:43:17 - mmengine - INFO - Epoch(train) [175][100/940] lr: 9.3000e-02 eta: 8:12:19 time: 0.4067 data_time: 0.0189 memory: 8039 grad_norm: 1.9971 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4475 loss: 2.4475 2022/08/20 19:43:56 - mmengine - INFO - Epoch(train) [175][200/940] lr: 9.3000e-02 eta: 8:11:41 time: 0.3949 data_time: 0.0168 memory: 8039 grad_norm: 1.9796 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1921 loss: 2.1921 2022/08/20 19:44:34 - mmengine - INFO - Epoch(train) [175][300/940] lr: 9.3000e-02 eta: 8:11:03 time: 0.3904 data_time: 0.0160 memory: 8039 grad_norm: 1.9933 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0089 loss: 2.0089 2022/08/20 19:45:13 - mmengine - INFO - Epoch(train) [175][400/940] lr: 9.3000e-02 eta: 8:10:25 time: 0.4041 data_time: 0.0154 memory: 8039 grad_norm: 1.9643 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2355 loss: 2.2355 2022/08/20 19:45:29 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 19:45:53 - mmengine - INFO - Epoch(train) [175][500/940] lr: 9.3000e-02 eta: 8:09:47 time: 0.3921 data_time: 0.0149 memory: 8039 grad_norm: 2.0058 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.3760 loss: 2.3760 2022/08/20 19:46:34 - mmengine - INFO - Epoch(train) [175][600/940] lr: 9.3000e-02 eta: 8:09:10 time: 0.3912 data_time: 0.0159 memory: 8039 grad_norm: 2.0269 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4614 loss: 2.4614 2022/08/20 19:47:13 - mmengine - INFO - Epoch(train) [175][700/940] lr: 9.3000e-02 eta: 8:08:31 time: 0.3833 data_time: 0.0152 memory: 8039 grad_norm: 1.9654 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2080 loss: 2.2080 2022/08/20 19:47:52 - mmengine - INFO - Epoch(train) [175][800/940] lr: 9.3000e-02 eta: 8:07:53 time: 0.4242 data_time: 0.0165 memory: 8039 grad_norm: 1.9813 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5340 loss: 2.5340 2022/08/20 19:48:31 - mmengine - INFO - Epoch(train) [175][900/940] lr: 9.3000e-02 eta: 8:07:15 time: 0.4049 data_time: 0.0160 memory: 8039 grad_norm: 2.0005 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5339 loss: 2.5339 2022/08/20 19:48:46 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 19:48:46 - mmengine - INFO - Epoch(train) [175][940/940] lr: 9.3000e-02 eta: 8:07:00 time: 0.3812 data_time: 0.0166 memory: 8039 grad_norm: 2.0835 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6052 loss: 2.6052 2022/08/20 19:49:05 - mmengine - INFO - Epoch(val) [175][78/78] acc/top1: 0.5078 acc/top5: 0.7648 acc/mean1: 0.5078 2022/08/20 19:49:47 - mmengine - INFO - Epoch(train) [176][100/940] lr: 9.0935e-02 eta: 8:06:23 time: 0.3958 data_time: 0.0171 memory: 8039 grad_norm: 1.9962 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4180 loss: 2.4180 2022/08/20 19:50:25 - mmengine - INFO - Epoch(train) [176][200/940] lr: 9.0935e-02 eta: 8:05:44 time: 0.4071 data_time: 0.0168 memory: 8039 grad_norm: 2.0098 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3160 loss: 2.3160 2022/08/20 19:51:03 - mmengine - INFO - Epoch(train) [176][300/940] lr: 9.0935e-02 eta: 8:05:06 time: 0.3929 data_time: 0.0149 memory: 8039 grad_norm: 2.0049 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3522 loss: 2.3522 2022/08/20 19:51:41 - mmengine - INFO - Epoch(train) [176][400/940] lr: 9.0935e-02 eta: 8:04:27 time: 0.3763 data_time: 0.0153 memory: 8039 grad_norm: 1.9790 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2594 loss: 2.2594 2022/08/20 19:52:20 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 19:52:20 - mmengine - INFO - Epoch(train) [176][500/940] lr: 9.0935e-02 eta: 8:03:49 time: 0.3950 data_time: 0.0174 memory: 8039 grad_norm: 2.0269 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3372 loss: 2.3372 2022/08/20 19:52:58 - mmengine - INFO - Epoch(train) [176][600/940] lr: 9.0935e-02 eta: 8:03:10 time: 0.4077 data_time: 0.0155 memory: 8039 grad_norm: 2.0375 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3424 loss: 2.3424 2022/08/20 19:53:36 - mmengine - INFO - Epoch(train) [176][700/940] lr: 9.0935e-02 eta: 8:02:32 time: 0.3785 data_time: 0.0163 memory: 8039 grad_norm: 2.0141 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4639 loss: 2.4639 2022/08/20 19:54:14 - mmengine - INFO - Epoch(train) [176][800/940] lr: 9.0935e-02 eta: 8:01:53 time: 0.3704 data_time: 0.0149 memory: 8039 grad_norm: 1.9769 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5118 loss: 2.5118 2022/08/20 19:54:52 - mmengine - INFO - Epoch(train) [176][900/940] lr: 9.0935e-02 eta: 8:01:15 time: 0.3723 data_time: 0.0157 memory: 8039 grad_norm: 2.0235 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3255 loss: 2.3255 2022/08/20 19:55:07 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 19:55:07 - mmengine - INFO - Epoch(train) [176][940/940] lr: 9.0935e-02 eta: 8:00:59 time: 0.3614 data_time: 0.0160 memory: 8039 grad_norm: 2.0569 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.4264 loss: 2.4264 2022/08/20 19:55:07 - mmengine - INFO - Saving checkpoint at 176 epochs 2022/08/20 19:55:51 - mmengine - INFO - Epoch(train) [177][100/940] lr: 8.8886e-02 eta: 8:00:21 time: 0.3800 data_time: 0.0175 memory: 8039 grad_norm: 2.0108 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.4420 loss: 2.4420 2022/08/20 19:56:30 - mmengine - INFO - Epoch(train) [177][200/940] lr: 8.8886e-02 eta: 7:59:43 time: 0.3744 data_time: 0.0167 memory: 8039 grad_norm: 2.0366 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4476 loss: 2.4476 2022/08/20 19:57:08 - mmengine - INFO - Epoch(train) [177][300/940] lr: 8.8886e-02 eta: 7:59:04 time: 0.3763 data_time: 0.0159 memory: 8039 grad_norm: 2.0270 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4654 loss: 2.4654 2022/08/20 19:57:47 - mmengine - INFO - Epoch(train) [177][400/940] lr: 8.8886e-02 eta: 7:58:26 time: 0.3892 data_time: 0.0161 memory: 8039 grad_norm: 2.0282 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5823 loss: 2.5823 2022/08/20 19:58:26 - mmengine - INFO - Epoch(train) [177][500/940] lr: 8.8886e-02 eta: 7:57:48 time: 0.3895 data_time: 0.0147 memory: 8039 grad_norm: 1.9838 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3051 loss: 2.3051 2022/08/20 19:58:49 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 19:59:04 - mmengine - INFO - Epoch(train) [177][600/940] lr: 8.8886e-02 eta: 7:57:10 time: 0.3698 data_time: 0.0148 memory: 8039 grad_norm: 1.9873 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2570 loss: 2.2570 2022/08/20 19:59:43 - mmengine - INFO - Epoch(train) [177][700/940] lr: 8.8886e-02 eta: 7:56:31 time: 0.3679 data_time: 0.0154 memory: 8039 grad_norm: 2.0343 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5461 loss: 2.5461 2022/08/20 20:00:22 - mmengine - INFO - Epoch(train) [177][800/940] lr: 8.8886e-02 eta: 7:55:53 time: 0.3834 data_time: 0.0158 memory: 8039 grad_norm: 1.9652 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0615 loss: 2.0615 2022/08/20 20:01:00 - mmengine - INFO - Epoch(train) [177][900/940] lr: 8.8886e-02 eta: 7:55:15 time: 0.3935 data_time: 0.0166 memory: 8039 grad_norm: 2.0400 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4687 loss: 2.4687 2022/08/20 20:01:16 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 20:01:16 - mmengine - INFO - Epoch(train) [177][940/940] lr: 8.8886e-02 eta: 7:54:59 time: 0.3764 data_time: 0.0151 memory: 8039 grad_norm: 2.0959 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1264 loss: 2.1264 2022/08/20 20:01:57 - mmengine - INFO - Epoch(train) [178][100/940] lr: 8.6854e-02 eta: 7:54:22 time: 0.4279 data_time: 0.0161 memory: 8039 grad_norm: 2.0377 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2561 loss: 2.2561 2022/08/20 20:02:35 - mmengine - INFO - Epoch(train) [178][200/940] lr: 8.6854e-02 eta: 7:53:44 time: 0.4021 data_time: 0.0157 memory: 8039 grad_norm: 2.0552 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0056 loss: 2.0056 2022/08/20 20:03:13 - mmengine - INFO - Epoch(train) [178][300/940] lr: 8.6854e-02 eta: 7:53:05 time: 0.3758 data_time: 0.0190 memory: 8039 grad_norm: 2.0332 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2798 loss: 2.2798 2022/08/20 20:03:51 - mmengine - INFO - Epoch(train) [178][400/940] lr: 8.6854e-02 eta: 7:52:27 time: 0.3731 data_time: 0.0153 memory: 8039 grad_norm: 2.0741 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1024 loss: 2.1024 2022/08/20 20:04:29 - mmengine - INFO - Epoch(train) [178][500/940] lr: 8.6854e-02 eta: 7:51:48 time: 0.3707 data_time: 0.0156 memory: 8039 grad_norm: 2.0575 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2932 loss: 2.2932 2022/08/20 20:05:08 - mmengine - INFO - Epoch(train) [178][600/940] lr: 8.6854e-02 eta: 7:51:10 time: 0.3780 data_time: 0.0159 memory: 8039 grad_norm: 2.0555 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1393 loss: 2.1393 2022/08/20 20:05:16 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 20:05:47 - mmengine - INFO - Epoch(train) [178][700/940] lr: 8.6854e-02 eta: 7:50:32 time: 0.3730 data_time: 0.0153 memory: 8039 grad_norm: 2.0738 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6935 loss: 2.6935 2022/08/20 20:06:25 - mmengine - INFO - Epoch(train) [178][800/940] lr: 8.6854e-02 eta: 7:49:53 time: 0.3662 data_time: 0.0151 memory: 8039 grad_norm: 2.0586 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4669 loss: 2.4669 2022/08/20 20:07:03 - mmengine - INFO - Epoch(train) [178][900/940] lr: 8.6854e-02 eta: 7:49:15 time: 0.3650 data_time: 0.0162 memory: 8039 grad_norm: 1.9970 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2175 loss: 2.2175 2022/08/20 20:07:18 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 20:07:18 - mmengine - INFO - Epoch(train) [178][940/940] lr: 8.6854e-02 eta: 7:48:59 time: 0.3619 data_time: 0.0151 memory: 8039 grad_norm: 2.1260 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3245 loss: 2.3245 2022/08/20 20:07:58 - mmengine - INFO - Epoch(train) [179][100/940] lr: 8.4838e-02 eta: 7:48:21 time: 0.3864 data_time: 0.0152 memory: 8039 grad_norm: 1.9712 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2979 loss: 2.2979 2022/08/20 20:08:37 - mmengine - INFO - Epoch(train) [179][200/940] lr: 8.4838e-02 eta: 7:47:43 time: 0.4026 data_time: 0.0164 memory: 8039 grad_norm: 2.0472 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5801 loss: 2.5801 2022/08/20 20:09:14 - mmengine - INFO - Epoch(train) [179][300/940] lr: 8.4838e-02 eta: 7:47:04 time: 0.3719 data_time: 0.0153 memory: 8039 grad_norm: 2.1016 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3811 loss: 2.3811 2022/08/20 20:09:52 - mmengine - INFO - Epoch(train) [179][400/940] lr: 8.4838e-02 eta: 7:46:26 time: 0.3779 data_time: 0.0155 memory: 8039 grad_norm: 2.0724 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1843 loss: 2.1843 2022/08/20 20:10:30 - mmengine - INFO - Epoch(train) [179][500/940] lr: 8.4838e-02 eta: 7:45:47 time: 0.3755 data_time: 0.0153 memory: 8039 grad_norm: 2.0396 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5020 loss: 2.5020 2022/08/20 20:11:08 - mmengine - INFO - Epoch(train) [179][600/940] lr: 8.4838e-02 eta: 7:45:09 time: 0.3691 data_time: 0.0168 memory: 8039 grad_norm: 2.0810 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4970 loss: 2.4970 2022/08/20 20:11:39 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 20:11:47 - mmengine - INFO - Epoch(train) [179][700/940] lr: 8.4838e-02 eta: 7:44:31 time: 0.4130 data_time: 0.0154 memory: 8039 grad_norm: 2.0835 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1176 loss: 2.1176 2022/08/20 20:13:23 - mmengine - INFO - Epoch(train) [179][800/940] lr: 8.4838e-02 eta: 7:44:17 time: 0.3986 data_time: 0.0153 memory: 8039 grad_norm: 2.0527 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.2329 loss: 2.2329 2022/08/20 20:14:01 - mmengine - INFO - Epoch(train) [179][900/940] lr: 8.4838e-02 eta: 7:43:38 time: 0.3760 data_time: 0.0150 memory: 8039 grad_norm: 2.0555 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4670 loss: 2.4670 2022/08/20 20:14:16 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 20:14:16 - mmengine - INFO - Epoch(train) [179][940/940] lr: 8.4838e-02 eta: 7:43:23 time: 0.3585 data_time: 0.0142 memory: 8039 grad_norm: 2.1158 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3620 loss: 2.3620 2022/08/20 20:14:56 - mmengine - INFO - Epoch(train) [180][100/940] lr: 8.2840e-02 eta: 7:42:45 time: 0.3699 data_time: 0.0166 memory: 8039 grad_norm: 2.0584 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.2754 loss: 2.2754 2022/08/20 20:15:34 - mmengine - INFO - Epoch(train) [180][200/940] lr: 8.2840e-02 eta: 7:42:06 time: 0.3685 data_time: 0.0148 memory: 8039 grad_norm: 2.0391 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1429 loss: 2.1429 2022/08/20 20:16:12 - mmengine - INFO - Epoch(train) [180][300/940] lr: 8.2840e-02 eta: 7:41:28 time: 0.3694 data_time: 0.0170 memory: 8039 grad_norm: 2.1187 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0364 loss: 2.0364 2022/08/20 20:16:51 - mmengine - INFO - Epoch(train) [180][400/940] lr: 8.2840e-02 eta: 7:40:49 time: 0.4120 data_time: 0.0167 memory: 8039 grad_norm: 2.0971 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2909 loss: 2.2909 2022/08/20 20:17:28 - mmengine - INFO - Epoch(train) [180][500/940] lr: 8.2840e-02 eta: 7:40:11 time: 0.3719 data_time: 0.0169 memory: 8039 grad_norm: 2.1121 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4592 loss: 2.4592 2022/08/20 20:18:07 - mmengine - INFO - Epoch(train) [180][600/940] lr: 8.2840e-02 eta: 7:39:32 time: 0.3699 data_time: 0.0162 memory: 8039 grad_norm: 2.0433 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3791 loss: 2.3791 2022/08/20 20:18:45 - mmengine - INFO - Epoch(train) [180][700/940] lr: 8.2840e-02 eta: 7:38:54 time: 0.3625 data_time: 0.0157 memory: 8039 grad_norm: 2.0349 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4567 loss: 2.4567 2022/08/20 20:19:00 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 20:19:23 - mmengine - INFO - Epoch(train) [180][800/940] lr: 8.2840e-02 eta: 7:38:15 time: 0.3766 data_time: 0.0159 memory: 8039 grad_norm: 2.0791 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3805 loss: 2.3805 2022/08/20 20:20:00 - mmengine - INFO - Epoch(train) [180][900/940] lr: 8.2840e-02 eta: 7:37:36 time: 0.3769 data_time: 0.0164 memory: 8039 grad_norm: 2.1195 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 2.5258 loss: 2.5258 2022/08/20 20:20:15 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 20:20:15 - mmengine - INFO - Epoch(train) [180][940/940] lr: 8.2840e-02 eta: 7:37:20 time: 0.3631 data_time: 0.0133 memory: 8039 grad_norm: 2.1430 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4361 loss: 2.4361 2022/08/20 20:20:15 - mmengine - INFO - Saving checkpoint at 180 epochs 2022/08/20 20:20:37 - mmengine - INFO - Epoch(val) [180][78/78] acc/top1: 0.5374 acc/top5: 0.7895 acc/mean1: 0.5371 2022/08/20 20:20:37 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb/best_acc/top1_epoch_166.pth is removed 2022/08/20 20:20:40 - mmengine - INFO - The best checkpoint with 0.5374 acc/top1 at 181 epoch is saved to best_acc/top1_epoch_181.pth. 2022/08/20 20:21:18 - mmengine - INFO - Epoch(train) [181][100/940] lr: 8.0860e-02 eta: 7:36:42 time: 0.3759 data_time: 0.0171 memory: 8039 grad_norm: 2.0847 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1857 loss: 2.1857 2022/08/20 20:21:55 - mmengine - INFO - Epoch(train) [181][200/940] lr: 8.0860e-02 eta: 7:36:03 time: 0.3777 data_time: 0.0152 memory: 8039 grad_norm: 2.0782 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3249 loss: 2.3249 2022/08/20 20:22:34 - mmengine - INFO - Epoch(train) [181][300/940] lr: 8.0860e-02 eta: 7:35:25 time: 0.3860 data_time: 0.0156 memory: 8039 grad_norm: 2.1010 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4201 loss: 2.4201 2022/08/20 20:23:12 - mmengine - INFO - Epoch(train) [181][400/940] lr: 8.0860e-02 eta: 7:34:46 time: 0.3700 data_time: 0.0165 memory: 8039 grad_norm: 2.1079 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3229 loss: 2.3229 2022/08/20 20:23:51 - mmengine - INFO - Epoch(train) [181][500/940] lr: 8.0860e-02 eta: 7:34:08 time: 0.4035 data_time: 0.0154 memory: 8039 grad_norm: 2.0417 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3009 loss: 2.3009 2022/08/20 20:24:30 - mmengine - INFO - Epoch(train) [181][600/940] lr: 8.0860e-02 eta: 7:33:30 time: 0.3870 data_time: 0.0149 memory: 8039 grad_norm: 2.0673 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1157 loss: 2.1157 2022/08/20 20:25:10 - mmengine - INFO - Epoch(train) [181][700/940] lr: 8.0860e-02 eta: 7:32:52 time: 0.4107 data_time: 0.0153 memory: 8039 grad_norm: 2.1299 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3982 loss: 2.3982 2022/08/20 20:25:48 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 20:25:48 - mmengine - INFO - Epoch(train) [181][800/940] lr: 8.0860e-02 eta: 7:32:13 time: 0.3800 data_time: 0.0148 memory: 8039 grad_norm: 2.0755 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4291 loss: 2.4291 2022/08/20 20:26:26 - mmengine - INFO - Epoch(train) [181][900/940] lr: 8.0860e-02 eta: 7:31:35 time: 0.3748 data_time: 0.0152 memory: 8039 grad_norm: 2.1049 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2070 loss: 2.2070 2022/08/20 20:26:41 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 20:26:41 - mmengine - INFO - Epoch(train) [181][940/940] lr: 8.0860e-02 eta: 7:31:19 time: 0.3819 data_time: 0.0162 memory: 8039 grad_norm: 2.1796 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.1275 loss: 2.1275 2022/08/20 20:27:22 - mmengine - INFO - Epoch(train) [182][100/940] lr: 7.8898e-02 eta: 7:30:42 time: 0.3913 data_time: 0.0162 memory: 8039 grad_norm: 2.1153 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2149 loss: 2.2149 2022/08/20 20:27:59 - mmengine - INFO - Epoch(train) [182][200/940] lr: 7.8898e-02 eta: 7:30:03 time: 0.3776 data_time: 0.0167 memory: 8039 grad_norm: 2.0847 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.4772 loss: 2.4772 2022/08/20 20:28:37 - mmengine - INFO - Epoch(train) [182][300/940] lr: 7.8898e-02 eta: 7:29:24 time: 0.3646 data_time: 0.0189 memory: 8039 grad_norm: 2.1439 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2916 loss: 2.2916 2022/08/20 20:29:15 - mmengine - INFO - Epoch(train) [182][400/940] lr: 7.8898e-02 eta: 7:28:45 time: 0.3864 data_time: 0.0163 memory: 8039 grad_norm: 2.1009 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1377 loss: 2.1377 2022/08/20 20:29:53 - mmengine - INFO - Epoch(train) [182][500/940] lr: 7.8898e-02 eta: 7:28:07 time: 0.3756 data_time: 0.0163 memory: 8039 grad_norm: 2.1346 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.4015 loss: 2.4015 2022/08/20 20:30:30 - mmengine - INFO - Epoch(train) [182][600/940] lr: 7.8898e-02 eta: 7:27:28 time: 0.3746 data_time: 0.0166 memory: 8039 grad_norm: 2.1711 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0850 loss: 2.0850 2022/08/20 20:31:08 - mmengine - INFO - Epoch(train) [182][700/940] lr: 7.8898e-02 eta: 7:26:49 time: 0.3717 data_time: 0.0154 memory: 8039 grad_norm: 2.1184 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1910 loss: 2.1910 2022/08/20 20:31:46 - mmengine - INFO - Epoch(train) [182][800/940] lr: 7.8898e-02 eta: 7:26:11 time: 0.3671 data_time: 0.0161 memory: 8039 grad_norm: 2.1506 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.8717 loss: 1.8717 2022/08/20 20:32:08 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 20:32:24 - mmengine - INFO - Epoch(train) [182][900/940] lr: 7.8898e-02 eta: 7:25:32 time: 0.3911 data_time: 0.0164 memory: 8039 grad_norm: 2.1316 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1803 loss: 2.1803 2022/08/20 20:32:39 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 20:32:39 - mmengine - INFO - Epoch(train) [182][940/940] lr: 7.8898e-02 eta: 7:25:16 time: 0.3771 data_time: 0.0159 memory: 8039 grad_norm: 2.1373 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.3016 loss: 2.3016 2022/08/20 20:33:19 - mmengine - INFO - Epoch(train) [183][100/940] lr: 7.6954e-02 eta: 7:24:39 time: 0.3883 data_time: 0.0149 memory: 8039 grad_norm: 2.0722 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1521 loss: 2.1521 2022/08/20 20:33:57 - mmengine - INFO - Epoch(train) [183][200/940] lr: 7.6954e-02 eta: 7:24:00 time: 0.3731 data_time: 0.0158 memory: 8039 grad_norm: 2.1153 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2489 loss: 2.2489 2022/08/20 20:34:35 - mmengine - INFO - Epoch(train) [183][300/940] lr: 7.6954e-02 eta: 7:23:22 time: 0.3697 data_time: 0.0167 memory: 8039 grad_norm: 2.1997 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2092 loss: 2.2092 2022/08/20 20:35:13 - mmengine - INFO - Epoch(train) [183][400/940] lr: 7.6954e-02 eta: 7:22:43 time: 0.3685 data_time: 0.0164 memory: 8039 grad_norm: 2.1520 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2635 loss: 2.2635 2022/08/20 20:35:52 - mmengine - INFO - Epoch(train) [183][500/940] lr: 7.6954e-02 eta: 7:22:05 time: 0.3713 data_time: 0.0163 memory: 8039 grad_norm: 2.0811 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1929 loss: 2.1929 2022/08/20 20:36:29 - mmengine - INFO - Epoch(train) [183][600/940] lr: 7.6954e-02 eta: 7:21:26 time: 0.3775 data_time: 0.0165 memory: 8039 grad_norm: 2.1010 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3806 loss: 2.3806 2022/08/20 20:37:07 - mmengine - INFO - Epoch(train) [183][700/940] lr: 7.6954e-02 eta: 7:20:47 time: 0.3619 data_time: 0.0151 memory: 8039 grad_norm: 2.1608 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2714 loss: 2.2714 2022/08/20 20:37:45 - mmengine - INFO - Epoch(train) [183][800/940] lr: 7.6954e-02 eta: 7:20:09 time: 0.3739 data_time: 0.0158 memory: 8039 grad_norm: 2.1768 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2204 loss: 2.2204 2022/08/20 20:38:23 - mmengine - INFO - Epoch(train) [183][900/940] lr: 7.6954e-02 eta: 7:19:30 time: 0.3860 data_time: 0.0187 memory: 8039 grad_norm: 2.1541 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9601 loss: 1.9601 2022/08/20 20:38:31 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 20:38:39 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 20:38:39 - mmengine - INFO - Epoch(train) [183][940/940] lr: 7.6954e-02 eta: 7:19:15 time: 0.3935 data_time: 0.0137 memory: 8039 grad_norm: 2.2068 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 1.9471 loss: 1.9471 2022/08/20 20:39:20 - mmengine - INFO - Epoch(train) [184][100/940] lr: 7.5028e-02 eta: 7:18:37 time: 0.3912 data_time: 0.0158 memory: 8039 grad_norm: 2.1293 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0329 loss: 2.0329 2022/08/20 20:39:59 - mmengine - INFO - Epoch(train) [184][200/940] lr: 7.5028e-02 eta: 7:17:59 time: 0.4102 data_time: 0.0150 memory: 8039 grad_norm: 2.0881 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4608 loss: 2.4608 2022/08/20 20:40:37 - mmengine - INFO - Epoch(train) [184][300/940] lr: 7.5028e-02 eta: 7:17:21 time: 0.3767 data_time: 0.0160 memory: 8039 grad_norm: 2.1270 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3080 loss: 2.3080 2022/08/20 20:41:16 - mmengine - INFO - Epoch(train) [184][400/940] lr: 7.5028e-02 eta: 7:16:42 time: 0.3727 data_time: 0.0168 memory: 8039 grad_norm: 2.1780 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1577 loss: 2.1577 2022/08/20 20:41:54 - mmengine - INFO - Epoch(train) [184][500/940] lr: 7.5028e-02 eta: 7:16:04 time: 0.3675 data_time: 0.0162 memory: 8039 grad_norm: 2.1174 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0057 loss: 2.0057 2022/08/20 20:42:31 - mmengine - INFO - Epoch(train) [184][600/940] lr: 7.5028e-02 eta: 7:15:25 time: 0.3702 data_time: 0.0175 memory: 8039 grad_norm: 2.1236 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0334 loss: 2.0334 2022/08/20 20:43:10 - mmengine - INFO - Epoch(train) [184][700/940] lr: 7.5028e-02 eta: 7:14:47 time: 0.3912 data_time: 0.0145 memory: 8039 grad_norm: 2.0990 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2650 loss: 2.2650 2022/08/20 20:43:48 - mmengine - INFO - Epoch(train) [184][800/940] lr: 7.5028e-02 eta: 7:14:08 time: 0.3770 data_time: 0.0156 memory: 8039 grad_norm: 2.1498 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3734 loss: 2.3734 2022/08/20 20:44:27 - mmengine - INFO - Epoch(train) [184][900/940] lr: 7.5028e-02 eta: 7:13:30 time: 0.3842 data_time: 0.0157 memory: 8039 grad_norm: 2.1138 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3871 loss: 2.3871 2022/08/20 20:44:42 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 20:44:42 - mmengine - INFO - Epoch(train) [184][940/940] lr: 7.5028e-02 eta: 7:13:15 time: 0.3894 data_time: 0.0151 memory: 8039 grad_norm: 2.2140 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2401 loss: 2.2401 2022/08/20 20:44:43 - mmengine - INFO - Saving checkpoint at 184 epochs 2022/08/20 20:45:03 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 20:45:25 - mmengine - INFO - Epoch(train) [185][100/940] lr: 7.3121e-02 eta: 7:12:36 time: 0.3866 data_time: 0.0172 memory: 8039 grad_norm: 2.1621 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2853 loss: 2.2853 2022/08/20 20:46:04 - mmengine - INFO - Epoch(train) [185][200/940] lr: 7.3121e-02 eta: 7:11:58 time: 0.4003 data_time: 0.0171 memory: 8039 grad_norm: 2.1792 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3267 loss: 2.3267 2022/08/20 20:46:42 - mmengine - INFO - Epoch(train) [185][300/940] lr: 7.3121e-02 eta: 7:11:19 time: 0.3928 data_time: 0.0165 memory: 8039 grad_norm: 2.1662 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3029 loss: 2.3029 2022/08/20 20:47:20 - mmengine - INFO - Epoch(train) [185][400/940] lr: 7.3121e-02 eta: 7:10:41 time: 0.3897 data_time: 0.0166 memory: 8039 grad_norm: 2.1284 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.0717 loss: 2.0717 2022/08/20 20:47:58 - mmengine - INFO - Epoch(train) [185][500/940] lr: 7.3121e-02 eta: 7:10:02 time: 0.3858 data_time: 0.0155 memory: 8039 grad_norm: 2.1617 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0315 loss: 2.0315 2022/08/20 20:48:37 - mmengine - INFO - Epoch(train) [185][600/940] lr: 7.3121e-02 eta: 7:09:24 time: 0.3717 data_time: 0.0165 memory: 8039 grad_norm: 2.1759 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5928 loss: 2.5928 2022/08/20 20:49:15 - mmengine - INFO - Epoch(train) [185][700/940] lr: 7.3121e-02 eta: 7:08:45 time: 0.3941 data_time: 0.0169 memory: 8039 grad_norm: 2.1955 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3133 loss: 2.3133 2022/08/20 20:49:54 - mmengine - INFO - Epoch(train) [185][800/940] lr: 7.3121e-02 eta: 7:08:07 time: 0.3771 data_time: 0.0160 memory: 8039 grad_norm: 2.2098 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1974 loss: 2.1974 2022/08/20 20:50:31 - mmengine - INFO - Epoch(train) [185][900/940] lr: 7.3121e-02 eta: 7:07:28 time: 0.3784 data_time: 0.0168 memory: 8039 grad_norm: 2.2174 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4407 loss: 2.4407 2022/08/20 20:50:46 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 20:50:46 - mmengine - INFO - Epoch(train) [185][940/940] lr: 7.3121e-02 eta: 7:07:13 time: 0.3691 data_time: 0.0143 memory: 8039 grad_norm: 2.2187 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0463 loss: 2.0463 2022/08/20 20:51:06 - mmengine - INFO - Epoch(val) [185][78/78] acc/top1: 0.5407 acc/top5: 0.7886 acc/mean1: 0.5406 2022/08/20 20:51:06 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb/best_acc/top1_epoch_181.pth is removed 2022/08/20 20:51:09 - mmengine - INFO - The best checkpoint with 0.5407 acc/top1 at 186 epoch is saved to best_acc/top1_epoch_186.pth. 2022/08/20 20:51:48 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 20:51:48 - mmengine - INFO - Epoch(train) [186][100/940] lr: 7.1234e-02 eta: 7:06:35 time: 0.3686 data_time: 0.0154 memory: 8039 grad_norm: 2.1927 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1630 loss: 2.1630 2022/08/20 20:52:27 - mmengine - INFO - Epoch(train) [186][200/940] lr: 7.1234e-02 eta: 7:05:56 time: 0.4085 data_time: 0.0165 memory: 8039 grad_norm: 2.1839 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1296 loss: 2.1296 2022/08/20 20:53:06 - mmengine - INFO - Epoch(train) [186][300/940] lr: 7.1234e-02 eta: 7:05:18 time: 0.4034 data_time: 0.0165 memory: 8039 grad_norm: 2.2033 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3701 loss: 2.3701 2022/08/20 20:53:44 - mmengine - INFO - Epoch(train) [186][400/940] lr: 7.1234e-02 eta: 7:04:39 time: 0.3909 data_time: 0.0160 memory: 8039 grad_norm: 2.2093 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2974 loss: 2.2974 2022/08/20 20:54:22 - mmengine - INFO - Epoch(train) [186][500/940] lr: 7.1234e-02 eta: 7:04:01 time: 0.4055 data_time: 0.0154 memory: 8039 grad_norm: 2.2070 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2922 loss: 2.2922 2022/08/20 20:54:59 - mmengine - INFO - Epoch(train) [186][600/940] lr: 7.1234e-02 eta: 7:03:22 time: 0.3650 data_time: 0.0148 memory: 8039 grad_norm: 2.2129 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5921 loss: 2.5921 2022/08/20 20:55:38 - mmengine - INFO - Epoch(train) [186][700/940] lr: 7.1234e-02 eta: 7:02:44 time: 0.3628 data_time: 0.0152 memory: 8039 grad_norm: 2.2061 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2618 loss: 2.2618 2022/08/20 20:56:16 - mmengine - INFO - Epoch(train) [186][800/940] lr: 7.1234e-02 eta: 7:02:05 time: 0.3742 data_time: 0.0155 memory: 8039 grad_norm: 2.2118 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4167 loss: 2.4167 2022/08/20 20:56:54 - mmengine - INFO - Epoch(train) [186][900/940] lr: 7.1234e-02 eta: 7:01:27 time: 0.3729 data_time: 0.0153 memory: 8039 grad_norm: 2.1858 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0785 loss: 2.0785 2022/08/20 20:57:10 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 20:57:10 - mmengine - INFO - Epoch(train) [186][940/940] lr: 7.1234e-02 eta: 7:01:11 time: 0.3744 data_time: 0.0144 memory: 8039 grad_norm: 2.2798 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.3449 loss: 2.3449 2022/08/20 20:57:50 - mmengine - INFO - Epoch(train) [187][100/940] lr: 6.9365e-02 eta: 7:00:34 time: 0.3681 data_time: 0.0150 memory: 8039 grad_norm: 2.2015 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0741 loss: 2.0741 2022/08/20 20:58:13 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 20:58:28 - mmengine - INFO - Epoch(train) [187][200/940] lr: 6.9365e-02 eta: 6:59:55 time: 0.3806 data_time: 0.0170 memory: 8039 grad_norm: 2.2270 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3207 loss: 2.3207 2022/08/20 20:59:06 - mmengine - INFO - Epoch(train) [187][300/940] lr: 6.9365e-02 eta: 6:59:16 time: 0.3782 data_time: 0.0156 memory: 8039 grad_norm: 2.2138 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.2164 loss: 2.2164 2022/08/20 20:59:44 - mmengine - INFO - Epoch(train) [187][400/940] lr: 6.9365e-02 eta: 6:58:38 time: 0.3749 data_time: 0.0168 memory: 8039 grad_norm: 2.1856 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2740 loss: 2.2740 2022/08/20 21:00:22 - mmengine - INFO - Epoch(train) [187][500/940] lr: 6.9365e-02 eta: 6:57:59 time: 0.3786 data_time: 0.0172 memory: 8039 grad_norm: 2.2046 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0354 loss: 2.0354 2022/08/20 21:01:00 - mmengine - INFO - Epoch(train) [187][600/940] lr: 6.9365e-02 eta: 6:57:21 time: 0.3815 data_time: 0.0155 memory: 8039 grad_norm: 2.2657 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1620 loss: 2.1620 2022/08/20 21:01:38 - mmengine - INFO - Epoch(train) [187][700/940] lr: 6.9365e-02 eta: 6:56:42 time: 0.3740 data_time: 0.0154 memory: 8039 grad_norm: 2.1913 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3283 loss: 2.3283 2022/08/20 21:02:17 - mmengine - INFO - Epoch(train) [187][800/940] lr: 6.9365e-02 eta: 6:56:04 time: 0.4086 data_time: 0.0150 memory: 8039 grad_norm: 2.2433 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2140 loss: 2.2140 2022/08/20 21:02:56 - mmengine - INFO - Epoch(train) [187][900/940] lr: 6.9365e-02 eta: 6:55:26 time: 0.4131 data_time: 0.0151 memory: 8039 grad_norm: 2.1829 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5530 loss: 2.5530 2022/08/20 21:03:12 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 21:03:12 - mmengine - INFO - Epoch(train) [187][940/940] lr: 6.9365e-02 eta: 6:55:10 time: 0.3790 data_time: 0.0145 memory: 8039 grad_norm: 2.2797 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2912 loss: 2.2912 2022/08/20 21:03:52 - mmengine - INFO - Epoch(train) [188][100/940] lr: 6.7517e-02 eta: 6:54:33 time: 0.3943 data_time: 0.0152 memory: 8039 grad_norm: 2.1849 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2551 loss: 2.2551 2022/08/20 21:04:32 - mmengine - INFO - Epoch(train) [188][200/940] lr: 6.7517e-02 eta: 6:53:55 time: 0.4005 data_time: 0.0155 memory: 8039 grad_norm: 2.1911 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3103 loss: 2.3103 2022/08/20 21:04:39 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 21:05:09 - mmengine - INFO - Epoch(train) [188][300/940] lr: 6.7517e-02 eta: 6:53:16 time: 0.3669 data_time: 0.0162 memory: 8039 grad_norm: 2.2214 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.7149 loss: 2.7149 2022/08/20 21:06:46 - mmengine - INFO - Epoch(train) [188][400/940] lr: 6.7517e-02 eta: 6:52:59 time: 0.4586 data_time: 0.0165 memory: 8039 grad_norm: 2.2456 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1945 loss: 2.1945 2022/08/20 21:07:24 - mmengine - INFO - Epoch(train) [188][500/940] lr: 6.7517e-02 eta: 6:52:20 time: 0.3729 data_time: 0.0168 memory: 8039 grad_norm: 2.2027 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3261 loss: 2.3261 2022/08/20 21:08:01 - mmengine - INFO - Epoch(train) [188][600/940] lr: 6.7517e-02 eta: 6:51:41 time: 0.3801 data_time: 0.0158 memory: 8039 grad_norm: 2.1981 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3018 loss: 2.3018 2022/08/20 21:08:40 - mmengine - INFO - Epoch(train) [188][700/940] lr: 6.7517e-02 eta: 6:51:03 time: 0.3852 data_time: 0.0153 memory: 8039 grad_norm: 2.2290 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.3182 loss: 2.3182 2022/08/20 21:09:20 - mmengine - INFO - Epoch(train) [188][800/940] lr: 6.7517e-02 eta: 6:50:25 time: 0.3834 data_time: 0.0156 memory: 8039 grad_norm: 2.2043 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3745 loss: 2.3745 2022/08/20 21:09:59 - mmengine - INFO - Epoch(train) [188][900/940] lr: 6.7517e-02 eta: 6:49:47 time: 0.3872 data_time: 0.0166 memory: 8039 grad_norm: 2.1973 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0249 loss: 2.0249 2022/08/20 21:10:14 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 21:10:14 - mmengine - INFO - Epoch(train) [188][940/940] lr: 6.7517e-02 eta: 6:49:31 time: 0.3702 data_time: 0.0154 memory: 8039 grad_norm: 2.3344 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1343 loss: 2.1343 2022/08/20 21:10:14 - mmengine - INFO - Saving checkpoint at 188 epochs 2022/08/20 21:10:58 - mmengine - INFO - Epoch(train) [189][100/940] lr: 6.5688e-02 eta: 6:48:53 time: 0.4128 data_time: 0.0167 memory: 8039 grad_norm: 2.2009 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9496 loss: 1.9496 2022/08/20 21:11:35 - mmengine - INFO - Epoch(train) [189][200/940] lr: 6.5688e-02 eta: 6:48:14 time: 0.3713 data_time: 0.0168 memory: 8039 grad_norm: 2.2548 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2723 loss: 2.2723 2022/08/20 21:12:05 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 21:12:13 - mmengine - INFO - Epoch(train) [189][300/940] lr: 6.5688e-02 eta: 6:47:36 time: 0.3678 data_time: 0.0168 memory: 8039 grad_norm: 2.2394 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1266 loss: 2.1266 2022/08/20 21:12:51 - mmengine - INFO - Epoch(train) [189][400/940] lr: 6.5688e-02 eta: 6:46:57 time: 0.3669 data_time: 0.0162 memory: 8039 grad_norm: 2.2444 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2028 loss: 2.2028 2022/08/20 21:13:29 - mmengine - INFO - Epoch(train) [189][500/940] lr: 6.5688e-02 eta: 6:46:19 time: 0.3682 data_time: 0.0160 memory: 8039 grad_norm: 2.2644 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4326 loss: 2.4326 2022/08/20 21:14:07 - mmengine - INFO - Epoch(train) [189][600/940] lr: 6.5688e-02 eta: 6:45:40 time: 0.3889 data_time: 0.0173 memory: 8039 grad_norm: 2.2605 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3302 loss: 2.3302 2022/08/20 21:14:45 - mmengine - INFO - Epoch(train) [189][700/940] lr: 6.5688e-02 eta: 6:45:01 time: 0.3846 data_time: 0.0164 memory: 8039 grad_norm: 2.2729 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0520 loss: 2.0520 2022/08/20 21:15:26 - mmengine - INFO - Epoch(train) [189][800/940] lr: 6.5688e-02 eta: 6:44:24 time: 0.4467 data_time: 0.0165 memory: 8039 grad_norm: 2.2108 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9554 loss: 1.9554 2022/08/20 21:16:03 - mmengine - INFO - Epoch(train) [189][900/940] lr: 6.5688e-02 eta: 6:43:45 time: 0.3815 data_time: 0.0147 memory: 8039 grad_norm: 2.1769 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3663 loss: 2.3663 2022/08/20 21:16:18 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 21:16:18 - mmengine - INFO - Epoch(train) [189][940/940] lr: 6.5688e-02 eta: 6:43:29 time: 0.3571 data_time: 0.0159 memory: 8039 grad_norm: 2.2969 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3642 loss: 2.3642 2022/08/20 21:16:58 - mmengine - INFO - Epoch(train) [190][100/940] lr: 6.3880e-02 eta: 6:42:51 time: 0.3795 data_time: 0.0168 memory: 8039 grad_norm: 2.2474 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0124 loss: 2.0124 2022/08/20 21:17:37 - mmengine - INFO - Epoch(train) [190][200/940] lr: 6.3880e-02 eta: 6:42:13 time: 0.3983 data_time: 0.0158 memory: 8039 grad_norm: 2.2501 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2161 loss: 2.2161 2022/08/20 21:18:16 - mmengine - INFO - Epoch(train) [190][300/940] lr: 6.3880e-02 eta: 6:41:35 time: 0.3942 data_time: 0.0176 memory: 8039 grad_norm: 2.2431 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0311 loss: 2.0311 2022/08/20 21:18:32 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 21:18:56 - mmengine - INFO - Epoch(train) [190][400/940] lr: 6.3880e-02 eta: 6:40:57 time: 0.3870 data_time: 0.0190 memory: 8039 grad_norm: 2.2674 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1796 loss: 2.1796 2022/08/20 21:19:35 - mmengine - INFO - Epoch(train) [190][500/940] lr: 6.3880e-02 eta: 6:40:19 time: 0.3838 data_time: 0.0168 memory: 8039 grad_norm: 2.2601 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3052 loss: 2.3052 2022/08/20 21:20:15 - mmengine - INFO - Epoch(train) [190][600/940] lr: 6.3880e-02 eta: 6:39:40 time: 0.3925 data_time: 0.0173 memory: 8039 grad_norm: 2.2301 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3819 loss: 2.3819 2022/08/20 21:20:54 - mmengine - INFO - Epoch(train) [190][700/940] lr: 6.3880e-02 eta: 6:39:02 time: 0.3894 data_time: 0.0155 memory: 8039 grad_norm: 2.2442 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2377 loss: 2.2377 2022/08/20 21:21:34 - mmengine - INFO - Epoch(train) [190][800/940] lr: 6.3880e-02 eta: 6:38:24 time: 0.3769 data_time: 0.0154 memory: 8039 grad_norm: 2.2810 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3693 loss: 2.3693 2022/08/20 21:22:19 - mmengine - INFO - Epoch(train) [190][900/940] lr: 6.3880e-02 eta: 6:37:48 time: 0.3741 data_time: 0.0158 memory: 8039 grad_norm: 2.3099 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3853 loss: 2.3853 2022/08/20 21:22:35 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 21:22:35 - mmengine - INFO - Epoch(train) [190][940/940] lr: 6.3880e-02 eta: 6:37:33 time: 0.4018 data_time: 0.0148 memory: 8039 grad_norm: 2.3598 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 2.3707 loss: 2.3707 2022/08/20 21:22:55 - mmengine - INFO - Epoch(val) [190][78/78] acc/top1: 0.5531 acc/top5: 0.8010 acc/mean1: 0.5529 2022/08/20 21:22:55 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb/best_acc/top1_epoch_186.pth is removed 2022/08/20 21:22:58 - mmengine - INFO - The best checkpoint with 0.5531 acc/top1 at 191 epoch is saved to best_acc/top1_epoch_191.pth. 2022/08/20 21:23:38 - mmengine - INFO - Epoch(train) [191][100/940] lr: 6.2092e-02 eta: 6:36:55 time: 0.4203 data_time: 0.0168 memory: 8039 grad_norm: 2.2674 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3287 loss: 2.3287 2022/08/20 21:24:19 - mmengine - INFO - Epoch(train) [191][200/940] lr: 6.2092e-02 eta: 6:36:18 time: 0.4342 data_time: 0.0153 memory: 8039 grad_norm: 2.3451 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9785 loss: 1.9785 2022/08/20 21:24:59 - mmengine - INFO - Epoch(train) [191][300/940] lr: 6.2092e-02 eta: 6:35:40 time: 0.4377 data_time: 0.0159 memory: 8039 grad_norm: 2.2298 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3180 loss: 2.3180 2022/08/20 21:25:39 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 21:25:39 - mmengine - INFO - Epoch(train) [191][400/940] lr: 6.2092e-02 eta: 6:35:02 time: 0.4287 data_time: 0.0165 memory: 8039 grad_norm: 2.3199 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1311 loss: 2.1311 2022/08/20 21:26:19 - mmengine - INFO - Epoch(train) [191][500/940] lr: 6.2092e-02 eta: 6:34:24 time: 0.4214 data_time: 0.0157 memory: 8039 grad_norm: 2.2322 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5879 loss: 1.5879 2022/08/20 21:26:58 - mmengine - INFO - Epoch(train) [191][600/940] lr: 6.2092e-02 eta: 6:33:46 time: 0.4137 data_time: 0.0177 memory: 8039 grad_norm: 2.2784 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2600 loss: 2.2600 2022/08/20 21:27:38 - mmengine - INFO - Epoch(train) [191][700/940] lr: 6.2092e-02 eta: 6:33:08 time: 0.4464 data_time: 0.0158 memory: 8039 grad_norm: 2.2916 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1438 loss: 2.1438 2022/08/20 21:28:19 - mmengine - INFO - Epoch(train) [191][800/940] lr: 6.2092e-02 eta: 6:32:30 time: 0.4892 data_time: 0.0155 memory: 8039 grad_norm: 2.3327 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4235 loss: 2.4235 2022/08/20 21:28:58 - mmengine - INFO - Epoch(train) [191][900/940] lr: 6.2092e-02 eta: 6:31:52 time: 0.4334 data_time: 0.0170 memory: 8039 grad_norm: 2.3023 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.1525 loss: 2.1525 2022/08/20 21:29:13 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 21:29:13 - mmengine - INFO - Epoch(train) [191][940/940] lr: 6.2092e-02 eta: 6:31:36 time: 0.3694 data_time: 0.0151 memory: 8039 grad_norm: 2.2959 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 2.4542 loss: 2.4542 2022/08/20 21:29:55 - mmengine - INFO - Epoch(train) [192][100/940] lr: 6.0325e-02 eta: 6:30:59 time: 0.4252 data_time: 0.0166 memory: 8039 grad_norm: 2.3133 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9204 loss: 1.9204 2022/08/20 21:30:34 - mmengine - INFO - Epoch(train) [192][200/940] lr: 6.0325e-02 eta: 6:30:21 time: 0.3947 data_time: 0.0152 memory: 8039 grad_norm: 2.3067 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2136 loss: 2.2136 2022/08/20 21:31:12 - mmengine - INFO - Epoch(train) [192][300/940] lr: 6.0325e-02 eta: 6:29:42 time: 0.3752 data_time: 0.0164 memory: 8039 grad_norm: 2.3042 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2583 loss: 2.2583 2022/08/20 21:31:52 - mmengine - INFO - Epoch(train) [192][400/940] lr: 6.0325e-02 eta: 6:29:04 time: 0.3858 data_time: 0.0156 memory: 8039 grad_norm: 2.3316 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9202 loss: 1.9202 2022/08/20 21:32:16 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 21:32:31 - mmengine - INFO - Epoch(train) [192][500/940] lr: 6.0325e-02 eta: 6:28:26 time: 0.3672 data_time: 0.0159 memory: 8039 grad_norm: 2.3375 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3526 loss: 2.3526 2022/08/20 21:33:11 - mmengine - INFO - Epoch(train) [192][600/940] lr: 6.0325e-02 eta: 6:27:48 time: 0.3779 data_time: 0.0160 memory: 8039 grad_norm: 2.2811 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.8054 loss: 1.8054 2022/08/20 21:33:49 - mmengine - INFO - Epoch(train) [192][700/940] lr: 6.0325e-02 eta: 6:27:09 time: 0.3688 data_time: 0.0188 memory: 8039 grad_norm: 2.3132 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2845 loss: 2.2845 2022/08/20 21:34:28 - mmengine - INFO - Epoch(train) [192][800/940] lr: 6.0325e-02 eta: 6:26:31 time: 0.4007 data_time: 0.0166 memory: 8039 grad_norm: 2.3099 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3193 loss: 2.3193 2022/08/20 21:35:09 - mmengine - INFO - Epoch(train) [192][900/940] lr: 6.0325e-02 eta: 6:25:53 time: 0.4917 data_time: 0.0151 memory: 8039 grad_norm: 2.3502 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4145 loss: 2.4145 2022/08/20 21:35:25 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 21:35:25 - mmengine - INFO - Epoch(train) [192][940/940] lr: 6.0325e-02 eta: 6:25:38 time: 0.3840 data_time: 0.0149 memory: 8039 grad_norm: 2.3963 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.4581 loss: 2.4581 2022/08/20 21:35:25 - mmengine - INFO - Saving checkpoint at 192 epochs 2022/08/20 21:36:09 - mmengine - INFO - Epoch(train) [193][100/940] lr: 5.8579e-02 eta: 6:25:00 time: 0.3938 data_time: 0.0157 memory: 8039 grad_norm: 2.2826 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.3121 loss: 2.3121 2022/08/20 21:36:48 - mmengine - INFO - Epoch(train) [193][200/940] lr: 5.8579e-02 eta: 6:24:22 time: 0.4154 data_time: 0.0160 memory: 8039 grad_norm: 2.2910 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1298 loss: 2.1298 2022/08/20 21:37:27 - mmengine - INFO - Epoch(train) [193][300/940] lr: 5.8579e-02 eta: 6:23:43 time: 0.4054 data_time: 0.0165 memory: 8039 grad_norm: 2.3595 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2921 loss: 2.2921 2022/08/20 21:38:06 - mmengine - INFO - Epoch(train) [193][400/940] lr: 5.8579e-02 eta: 6:23:05 time: 0.4151 data_time: 0.0159 memory: 8039 grad_norm: 2.3540 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0642 loss: 2.0642 2022/08/20 21:38:44 - mmengine - INFO - Epoch(train) [193][500/940] lr: 5.8579e-02 eta: 6:22:26 time: 0.3741 data_time: 0.0156 memory: 8039 grad_norm: 2.3060 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0943 loss: 2.0943 2022/08/20 21:38:52 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 21:39:22 - mmengine - INFO - Epoch(train) [193][600/940] lr: 5.8579e-02 eta: 6:21:48 time: 0.3800 data_time: 0.0168 memory: 8039 grad_norm: 2.2559 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4488 loss: 2.4488 2022/08/20 21:40:01 - mmengine - INFO - Epoch(train) [193][700/940] lr: 5.8579e-02 eta: 6:21:10 time: 0.3704 data_time: 0.0172 memory: 8039 grad_norm: 2.3449 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1719 loss: 2.1719 2022/08/20 21:40:39 - mmengine - INFO - Epoch(train) [193][800/940] lr: 5.8579e-02 eta: 6:20:31 time: 0.3982 data_time: 0.0173 memory: 8039 grad_norm: 2.2828 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0916 loss: 2.0916 2022/08/20 21:41:17 - mmengine - INFO - Epoch(train) [193][900/940] lr: 5.8579e-02 eta: 6:19:52 time: 0.3895 data_time: 0.0147 memory: 8039 grad_norm: 2.3322 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3203 loss: 2.3203 2022/08/20 21:41:32 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 21:41:32 - mmengine - INFO - Epoch(train) [193][940/940] lr: 5.8579e-02 eta: 6:19:37 time: 0.3657 data_time: 0.0154 memory: 8039 grad_norm: 2.4027 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3282 loss: 2.3282 2022/08/20 21:42:12 - mmengine - INFO - Epoch(train) [194][100/940] lr: 5.6854e-02 eta: 6:18:59 time: 0.3714 data_time: 0.0150 memory: 8039 grad_norm: 2.3768 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1210 loss: 2.1210 2022/08/20 21:42:51 - mmengine - INFO - Epoch(train) [194][200/940] lr: 5.6854e-02 eta: 6:18:20 time: 0.3684 data_time: 0.0157 memory: 8039 grad_norm: 2.3064 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9925 loss: 1.9925 2022/08/20 21:43:29 - mmengine - INFO - Epoch(train) [194][300/940] lr: 5.6854e-02 eta: 6:17:42 time: 0.3724 data_time: 0.0169 memory: 8039 grad_norm: 2.3437 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3626 loss: 2.3626 2022/08/20 21:44:07 - mmengine - INFO - Epoch(train) [194][400/940] lr: 5.6854e-02 eta: 6:17:03 time: 0.3793 data_time: 0.0158 memory: 8039 grad_norm: 2.3321 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9778 loss: 1.9778 2022/08/20 21:44:46 - mmengine - INFO - Epoch(train) [194][500/940] lr: 5.6854e-02 eta: 6:16:25 time: 0.3970 data_time: 0.0171 memory: 8039 grad_norm: 2.3791 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1624 loss: 2.1624 2022/08/20 21:45:17 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 21:45:24 - mmengine - INFO - Epoch(train) [194][600/940] lr: 5.6854e-02 eta: 6:15:46 time: 0.3706 data_time: 0.0152 memory: 8039 grad_norm: 2.4105 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1374 loss: 2.1374 2022/08/20 21:46:01 - mmengine - INFO - Epoch(train) [194][700/940] lr: 5.6854e-02 eta: 6:15:07 time: 0.3743 data_time: 0.0164 memory: 8039 grad_norm: 2.3878 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3972 loss: 2.3972 2022/08/20 21:46:39 - mmengine - INFO - Epoch(train) [194][800/940] lr: 5.6854e-02 eta: 6:14:29 time: 0.3965 data_time: 0.0160 memory: 8039 grad_norm: 2.3794 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0244 loss: 2.0244 2022/08/20 21:47:18 - mmengine - INFO - Epoch(train) [194][900/940] lr: 5.6854e-02 eta: 6:13:50 time: 0.3669 data_time: 0.0154 memory: 8039 grad_norm: 2.3771 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0326 loss: 2.0326 2022/08/20 21:47:33 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 21:47:33 - mmengine - INFO - Epoch(train) [194][940/940] lr: 5.6854e-02 eta: 6:13:35 time: 0.3554 data_time: 0.0141 memory: 8039 grad_norm: 2.4270 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1111 loss: 2.1111 2022/08/20 21:48:14 - mmengine - INFO - Epoch(train) [195][100/940] lr: 5.5151e-02 eta: 6:12:57 time: 0.3683 data_time: 0.0157 memory: 8039 grad_norm: 2.3569 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3998 loss: 2.3998 2022/08/20 21:48:53 - mmengine - INFO - Epoch(train) [195][200/940] lr: 5.5151e-02 eta: 6:12:19 time: 0.4204 data_time: 0.0167 memory: 8039 grad_norm: 2.4149 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1638 loss: 2.1638 2022/08/20 21:49:31 - mmengine - INFO - Epoch(train) [195][300/940] lr: 5.5151e-02 eta: 6:11:40 time: 0.3989 data_time: 0.0160 memory: 8039 grad_norm: 2.3890 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3468 loss: 2.3468 2022/08/20 21:50:10 - mmengine - INFO - Epoch(train) [195][400/940] lr: 5.5151e-02 eta: 6:11:02 time: 0.3811 data_time: 0.0149 memory: 8039 grad_norm: 2.3539 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1065 loss: 2.1065 2022/08/20 21:50:49 - mmengine - INFO - Epoch(train) [195][500/940] lr: 5.5151e-02 eta: 6:10:23 time: 0.3833 data_time: 0.0147 memory: 8039 grad_norm: 2.3461 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9959 loss: 1.9959 2022/08/20 21:51:27 - mmengine - INFO - Epoch(train) [195][600/940] lr: 5.5151e-02 eta: 6:09:45 time: 0.3771 data_time: 0.0165 memory: 8039 grad_norm: 2.4171 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1768 loss: 2.1768 2022/08/20 21:51:43 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 21:52:07 - mmengine - INFO - Epoch(train) [195][700/940] lr: 5.5151e-02 eta: 6:09:07 time: 0.3813 data_time: 0.0162 memory: 8039 grad_norm: 2.4144 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0873 loss: 2.0873 2022/08/20 21:52:46 - mmengine - INFO - Epoch(train) [195][800/940] lr: 5.5151e-02 eta: 6:08:29 time: 0.3711 data_time: 0.0154 memory: 8039 grad_norm: 2.4395 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0262 loss: 2.0262 2022/08/20 21:53:24 - mmengine - INFO - Epoch(train) [195][900/940] lr: 5.5151e-02 eta: 6:07:50 time: 0.3680 data_time: 0.0172 memory: 8039 grad_norm: 2.3443 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2537 loss: 2.2537 2022/08/20 21:53:42 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 21:53:42 - mmengine - INFO - Epoch(train) [195][940/940] lr: 5.5151e-02 eta: 6:07:35 time: 0.5028 data_time: 0.0169 memory: 8039 grad_norm: 2.4463 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.3241 loss: 2.3241 2022/08/20 21:54:02 - mmengine - INFO - Epoch(val) [195][78/78] acc/top1: 0.5606 acc/top5: 0.8023 acc/mean1: 0.5605 2022/08/20 21:54:02 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb/best_acc/top1_epoch_191.pth is removed 2022/08/20 21:54:04 - mmengine - INFO - The best checkpoint with 0.5606 acc/top1 at 196 epoch is saved to best_acc/top1_epoch_196.pth. 2022/08/20 21:54:47 - mmengine - INFO - Epoch(train) [196][100/940] lr: 5.3469e-02 eta: 6:06:58 time: 0.3700 data_time: 0.0154 memory: 8039 grad_norm: 2.3973 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1100 loss: 2.1100 2022/08/20 21:55:25 - mmengine - INFO - Epoch(train) [196][200/940] lr: 5.3469e-02 eta: 6:06:20 time: 0.3641 data_time: 0.0154 memory: 8039 grad_norm: 2.3515 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0413 loss: 2.0413 2022/08/20 21:56:06 - mmengine - INFO - Epoch(train) [196][300/940] lr: 5.3469e-02 eta: 6:05:42 time: 0.3740 data_time: 0.0152 memory: 8039 grad_norm: 2.3813 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0630 loss: 2.0630 2022/08/20 21:56:45 - mmengine - INFO - Epoch(train) [196][400/940] lr: 5.3469e-02 eta: 6:05:04 time: 0.3708 data_time: 0.0151 memory: 8039 grad_norm: 2.3951 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0311 loss: 2.0311 2022/08/20 21:57:24 - mmengine - INFO - Epoch(train) [196][500/940] lr: 5.3469e-02 eta: 6:04:25 time: 0.3721 data_time: 0.0161 memory: 8039 grad_norm: 2.3899 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9516 loss: 1.9516 2022/08/20 21:58:03 - mmengine - INFO - Epoch(train) [196][600/940] lr: 5.3469e-02 eta: 6:03:47 time: 0.3951 data_time: 0.0162 memory: 8039 grad_norm: 2.4033 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2197 loss: 2.2197 2022/08/20 21:58:42 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 21:58:42 - mmengine - INFO - Epoch(train) [196][700/940] lr: 5.3469e-02 eta: 6:03:09 time: 0.4281 data_time: 0.0151 memory: 8039 grad_norm: 2.4641 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8268 loss: 1.8268 2022/08/20 21:59:23 - mmengine - INFO - Epoch(train) [196][800/940] lr: 5.3469e-02 eta: 6:02:31 time: 0.4813 data_time: 0.0157 memory: 8039 grad_norm: 2.3780 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3266 loss: 2.3266 2022/08/20 22:00:02 - mmengine - INFO - Epoch(train) [196][900/940] lr: 5.3469e-02 eta: 6:01:53 time: 0.4139 data_time: 0.0166 memory: 8039 grad_norm: 2.3830 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3717 loss: 2.3717 2022/08/20 22:00:18 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 22:00:18 - mmengine - INFO - Epoch(train) [196][940/940] lr: 5.3469e-02 eta: 6:01:37 time: 0.4063 data_time: 0.0145 memory: 8039 grad_norm: 2.4606 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.4087 loss: 2.4087 2022/08/20 22:00:18 - mmengine - INFO - Saving checkpoint at 196 epochs 2022/08/20 22:01:03 - mmengine - INFO - Epoch(train) [197][100/940] lr: 5.1810e-02 eta: 6:00:59 time: 0.4003 data_time: 0.0169 memory: 8039 grad_norm: 2.4668 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7560 loss: 1.7560 2022/08/20 22:01:43 - mmengine - INFO - Epoch(train) [197][200/940] lr: 5.1810e-02 eta: 6:00:21 time: 0.4248 data_time: 0.0167 memory: 8039 grad_norm: 2.4643 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1902 loss: 2.1902 2022/08/20 22:02:23 - mmengine - INFO - Epoch(train) [197][300/940] lr: 5.1810e-02 eta: 5:59:43 time: 0.4126 data_time: 0.0167 memory: 8039 grad_norm: 2.4326 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2136 loss: 2.2136 2022/08/20 22:03:03 - mmengine - INFO - Epoch(train) [197][400/940] lr: 5.1810e-02 eta: 5:59:05 time: 0.4602 data_time: 0.0167 memory: 8039 grad_norm: 2.4071 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0599 loss: 2.0599 2022/08/20 22:03:42 - mmengine - INFO - Epoch(train) [197][500/940] lr: 5.1810e-02 eta: 5:58:27 time: 0.3814 data_time: 0.0158 memory: 8039 grad_norm: 2.4481 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1475 loss: 2.1475 2022/08/20 22:04:21 - mmengine - INFO - Epoch(train) [197][600/940] lr: 5.1810e-02 eta: 5:57:49 time: 0.3887 data_time: 0.0175 memory: 8039 grad_norm: 2.4106 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.9934 loss: 1.9934 2022/08/20 22:04:59 - mmengine - INFO - Epoch(train) [197][700/940] lr: 5.1810e-02 eta: 5:57:10 time: 0.3721 data_time: 0.0149 memory: 8039 grad_norm: 2.4362 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5973 loss: 2.5973 2022/08/20 22:05:23 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 22:05:39 - mmengine - INFO - Epoch(train) [197][800/940] lr: 5.1810e-02 eta: 5:56:32 time: 0.3774 data_time: 0.0157 memory: 8039 grad_norm: 2.3875 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0371 loss: 2.0371 2022/08/20 22:06:17 - mmengine - INFO - Epoch(train) [197][900/940] lr: 5.1810e-02 eta: 5:55:53 time: 0.3687 data_time: 0.0160 memory: 8039 grad_norm: 2.4211 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1375 loss: 2.1375 2022/08/20 22:06:33 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 22:06:33 - mmengine - INFO - Epoch(train) [197][940/940] lr: 5.1810e-02 eta: 5:55:38 time: 0.4072 data_time: 0.0164 memory: 8039 grad_norm: 2.5362 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.1023 loss: 2.1023 2022/08/20 22:07:14 - mmengine - INFO - Epoch(train) [198][100/940] lr: 5.0173e-02 eta: 5:55:00 time: 0.4001 data_time: 0.0152 memory: 8039 grad_norm: 2.4887 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8782 loss: 1.8782 2022/08/20 22:07:53 - mmengine - INFO - Epoch(train) [198][200/940] lr: 5.0173e-02 eta: 5:54:22 time: 0.4139 data_time: 0.0157 memory: 8039 grad_norm: 2.4296 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0996 loss: 2.0996 2022/08/20 22:08:34 - mmengine - INFO - Epoch(train) [198][300/940] lr: 5.0173e-02 eta: 5:53:44 time: 0.4150 data_time: 0.0155 memory: 8039 grad_norm: 2.4686 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1292 loss: 2.1292 2022/08/20 22:09:12 - mmengine - INFO - Epoch(train) [198][400/940] lr: 5.0173e-02 eta: 5:53:06 time: 0.4032 data_time: 0.0165 memory: 8039 grad_norm: 2.3663 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1003 loss: 2.1003 2022/08/20 22:09:51 - mmengine - INFO - Epoch(train) [198][500/940] lr: 5.0173e-02 eta: 5:52:27 time: 0.4291 data_time: 0.0174 memory: 8039 grad_norm: 2.4422 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0196 loss: 2.0196 2022/08/20 22:10:30 - mmengine - INFO - Epoch(train) [198][600/940] lr: 5.0173e-02 eta: 5:51:49 time: 0.4169 data_time: 0.0172 memory: 8039 grad_norm: 2.4975 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9337 loss: 1.9337 2022/08/20 22:11:08 - mmengine - INFO - Epoch(train) [198][700/940] lr: 5.0173e-02 eta: 5:51:10 time: 0.3676 data_time: 0.0146 memory: 8039 grad_norm: 2.4533 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2983 loss: 2.2983 2022/08/20 22:11:46 - mmengine - INFO - Epoch(train) [198][800/940] lr: 5.0173e-02 eta: 5:50:32 time: 0.3777 data_time: 0.0162 memory: 8039 grad_norm: 2.5282 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0524 loss: 2.0524 2022/08/20 22:11:54 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 22:12:24 - mmengine - INFO - Epoch(train) [198][900/940] lr: 5.0173e-02 eta: 5:49:53 time: 0.3932 data_time: 0.0173 memory: 8039 grad_norm: 2.5045 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1269 loss: 2.1269 2022/08/20 22:12:39 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 22:12:39 - mmengine - INFO - Epoch(train) [198][940/940] lr: 5.0173e-02 eta: 5:49:38 time: 0.3748 data_time: 0.0152 memory: 8039 grad_norm: 2.4815 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2500 loss: 2.2500 2022/08/20 22:13:20 - mmengine - INFO - Epoch(train) [199][100/940] lr: 4.8558e-02 eta: 5:49:00 time: 0.4095 data_time: 0.0163 memory: 8039 grad_norm: 2.4657 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9723 loss: 1.9723 2022/08/20 22:13:59 - mmengine - INFO - Epoch(train) [199][200/940] lr: 4.8558e-02 eta: 5:48:21 time: 0.4068 data_time: 0.0154 memory: 8039 grad_norm: 2.4609 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1644 loss: 2.1644 2022/08/20 22:14:37 - mmengine - INFO - Epoch(train) [199][300/940] lr: 4.8558e-02 eta: 5:47:43 time: 0.3687 data_time: 0.0159 memory: 8039 grad_norm: 2.4956 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0600 loss: 2.0600 2022/08/20 22:15:15 - mmengine - INFO - Epoch(train) [199][400/940] lr: 4.8558e-02 eta: 5:47:04 time: 0.3693 data_time: 0.0175 memory: 8039 grad_norm: 2.5021 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9371 loss: 1.9371 2022/08/20 22:15:53 - mmengine - INFO - Epoch(train) [199][500/940] lr: 4.8558e-02 eta: 5:46:26 time: 0.4050 data_time: 0.0169 memory: 8039 grad_norm: 2.4667 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1570 loss: 2.1570 2022/08/20 22:16:32 - mmengine - INFO - Epoch(train) [199][600/940] lr: 4.8558e-02 eta: 5:45:47 time: 0.4076 data_time: 0.0163 memory: 8039 grad_norm: 2.5801 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0143 loss: 2.0143 2022/08/20 22:17:12 - mmengine - INFO - Epoch(train) [199][700/940] lr: 4.8558e-02 eta: 5:45:09 time: 0.4608 data_time: 0.0170 memory: 8039 grad_norm: 2.4333 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1001 loss: 2.1001 2022/08/20 22:17:50 - mmengine - INFO - Epoch(train) [199][800/940] lr: 4.8558e-02 eta: 5:44:31 time: 0.4089 data_time: 0.0156 memory: 8039 grad_norm: 2.4967 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8952 loss: 1.8952 2022/08/20 22:18:20 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 22:18:28 - mmengine - INFO - Epoch(train) [199][900/940] lr: 4.8558e-02 eta: 5:43:52 time: 0.3931 data_time: 0.0154 memory: 8039 grad_norm: 2.4841 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9786 loss: 1.9786 2022/08/20 22:18:43 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 22:18:43 - mmengine - INFO - Epoch(train) [199][940/940] lr: 4.8558e-02 eta: 5:43:36 time: 0.3594 data_time: 0.0145 memory: 8039 grad_norm: 2.5131 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 2.3358 loss: 2.3358 2022/08/20 22:19:24 - mmengine - INFO - Epoch(train) [200][100/940] lr: 4.6967e-02 eta: 5:42:58 time: 0.3854 data_time: 0.0160 memory: 8039 grad_norm: 2.5309 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3744 loss: 2.3744 2022/08/20 22:20:03 - mmengine - INFO - Epoch(train) [200][200/940] lr: 4.6967e-02 eta: 5:42:20 time: 0.4154 data_time: 0.0167 memory: 8039 grad_norm: 2.5168 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1437 loss: 2.1437 2022/08/20 22:20:41 - mmengine - INFO - Epoch(train) [200][300/940] lr: 4.6967e-02 eta: 5:41:42 time: 0.3912 data_time: 0.0162 memory: 8039 grad_norm: 2.5185 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3544 loss: 2.3544 2022/08/20 22:21:19 - mmengine - INFO - Epoch(train) [200][400/940] lr: 4.6967e-02 eta: 5:41:03 time: 0.3736 data_time: 0.0159 memory: 8039 grad_norm: 2.5528 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9447 loss: 1.9447 2022/08/20 22:21:57 - mmengine - INFO - Epoch(train) [200][500/940] lr: 4.6967e-02 eta: 5:40:24 time: 0.3719 data_time: 0.0152 memory: 8039 grad_norm: 2.5194 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0079 loss: 2.0079 2022/08/20 22:22:35 - mmengine - INFO - Epoch(train) [200][600/940] lr: 4.6967e-02 eta: 5:39:46 time: 0.3888 data_time: 0.0157 memory: 8039 grad_norm: 2.5518 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0721 loss: 2.0721 2022/08/20 22:23:14 - mmengine - INFO - Epoch(train) [200][700/940] lr: 4.6967e-02 eta: 5:39:07 time: 0.3668 data_time: 0.0162 memory: 8039 grad_norm: 2.4503 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9186 loss: 1.9186 2022/08/20 22:23:52 - mmengine - INFO - Epoch(train) [200][800/940] lr: 4.6967e-02 eta: 5:38:29 time: 0.3832 data_time: 0.0159 memory: 8039 grad_norm: 2.4531 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1759 loss: 2.1759 2022/08/20 22:24:30 - mmengine - INFO - Epoch(train) [200][900/940] lr: 4.6967e-02 eta: 5:37:50 time: 0.3640 data_time: 0.0160 memory: 8039 grad_norm: 2.5233 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9901 loss: 1.9901 2022/08/20 22:24:45 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 22:24:45 - mmengine - INFO - Epoch(train) [200][940/940] lr: 4.6967e-02 eta: 5:37:35 time: 0.3736 data_time: 0.0149 memory: 8039 grad_norm: 2.5006 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 2.1375 loss: 2.1375 2022/08/20 22:24:45 - mmengine - INFO - Saving checkpoint at 200 epochs 2022/08/20 22:25:08 - mmengine - INFO - Epoch(val) [200][78/78] acc/top1: 0.5854 acc/top5: 0.8225 acc/mean1: 0.5853 2022/08/20 22:25:08 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb/best_acc/top1_epoch_196.pth is removed 2022/08/20 22:25:11 - mmengine - INFO - The best checkpoint with 0.5854 acc/top1 at 201 epoch is saved to best_acc/top1_epoch_201.pth. 2022/08/20 22:25:51 - mmengine - INFO - Epoch(train) [201][100/940] lr: 4.5398e-02 eta: 5:36:56 time: 0.4243 data_time: 0.0152 memory: 8039 grad_norm: 2.5442 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1559 loss: 2.1559 2022/08/20 22:26:28 - mmengine - INFO - Epoch(train) [201][200/940] lr: 4.5398e-02 eta: 5:36:18 time: 0.3874 data_time: 0.0154 memory: 8039 grad_norm: 2.5626 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1162 loss: 2.1162 2022/08/20 22:27:06 - mmengine - INFO - Epoch(train) [201][300/940] lr: 4.5398e-02 eta: 5:35:39 time: 0.3672 data_time: 0.0169 memory: 8039 grad_norm: 2.5533 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.0939 loss: 2.0939 2022/08/20 22:27:44 - mmengine - INFO - Epoch(train) [201][400/940] lr: 4.5398e-02 eta: 5:35:00 time: 0.3844 data_time: 0.0172 memory: 8039 grad_norm: 2.5394 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1528 loss: 2.1528 2022/08/20 22:28:23 - mmengine - INFO - Epoch(train) [201][500/940] lr: 4.5398e-02 eta: 5:34:22 time: 0.3767 data_time: 0.0180 memory: 8039 grad_norm: 2.4840 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0077 loss: 2.0077 2022/08/20 22:29:01 - mmengine - INFO - Epoch(train) [201][600/940] lr: 4.5398e-02 eta: 5:33:43 time: 0.3767 data_time: 0.0160 memory: 8039 grad_norm: 2.5887 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9654 loss: 1.9654 2022/08/20 22:29:39 - mmengine - INFO - Epoch(train) [201][700/940] lr: 4.5398e-02 eta: 5:33:05 time: 0.3670 data_time: 0.0154 memory: 8039 grad_norm: 2.5576 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4875 loss: 2.4875 2022/08/20 22:30:18 - mmengine - INFO - Epoch(train) [201][800/940] lr: 4.5398e-02 eta: 5:32:26 time: 0.3688 data_time: 0.0146 memory: 8039 grad_norm: 2.5363 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1380 loss: 2.1380 2022/08/20 22:30:59 - mmengine - INFO - Epoch(train) [201][900/940] lr: 4.5398e-02 eta: 5:31:48 time: 0.3702 data_time: 0.0159 memory: 8039 grad_norm: 2.5854 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1741 loss: 2.1741 2022/08/20 22:31:14 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 22:31:14 - mmengine - INFO - Epoch(train) [201][940/940] lr: 4.5398e-02 eta: 5:31:33 time: 0.3679 data_time: 0.0170 memory: 8039 grad_norm: 2.6394 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.1032 loss: 2.1032 2022/08/20 22:31:38 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 22:31:54 - mmengine - INFO - Epoch(train) [202][100/940] lr: 4.3853e-02 eta: 5:30:55 time: 0.4174 data_time: 0.0166 memory: 8039 grad_norm: 2.5755 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8771 loss: 1.8771 2022/08/20 22:32:32 - mmengine - INFO - Epoch(train) [202][200/940] lr: 4.3853e-02 eta: 5:30:16 time: 0.4193 data_time: 0.0166 memory: 8039 grad_norm: 2.5942 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1086 loss: 2.1086 2022/08/20 22:33:11 - mmengine - INFO - Epoch(train) [202][300/940] lr: 4.3853e-02 eta: 5:29:38 time: 0.4298 data_time: 0.0173 memory: 8039 grad_norm: 2.5717 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0283 loss: 2.0283 2022/08/20 22:33:50 - mmengine - INFO - Epoch(train) [202][400/940] lr: 4.3853e-02 eta: 5:29:00 time: 0.4060 data_time: 0.0164 memory: 8039 grad_norm: 2.5896 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7205 loss: 1.7205 2022/08/20 22:34:29 - mmengine - INFO - Epoch(train) [202][500/940] lr: 4.3853e-02 eta: 5:28:21 time: 0.3784 data_time: 0.0157 memory: 8039 grad_norm: 2.6139 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7537 loss: 1.7537 2022/08/20 22:35:11 - mmengine - INFO - Epoch(train) [202][600/940] lr: 4.3853e-02 eta: 5:27:44 time: 0.3851 data_time: 0.0172 memory: 8039 grad_norm: 2.5687 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1180 loss: 2.1180 2022/08/20 22:35:51 - mmengine - INFO - Epoch(train) [202][700/940] lr: 4.3853e-02 eta: 5:27:06 time: 0.3842 data_time: 0.0164 memory: 8039 grad_norm: 2.5626 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0503 loss: 2.0503 2022/08/20 22:36:31 - mmengine - INFO - Epoch(train) [202][800/940] lr: 4.3853e-02 eta: 5:26:27 time: 0.3888 data_time: 0.0168 memory: 8039 grad_norm: 2.5243 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0926 loss: 2.0926 2022/08/20 22:37:09 - mmengine - INFO - Epoch(train) [202][900/940] lr: 4.3853e-02 eta: 5:25:49 time: 0.3715 data_time: 0.0157 memory: 8039 grad_norm: 2.5507 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6942 loss: 1.6942 2022/08/20 22:37:24 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 22:37:24 - mmengine - INFO - Epoch(train) [202][940/940] lr: 4.3853e-02 eta: 5:25:33 time: 0.3864 data_time: 0.0157 memory: 8039 grad_norm: 2.6389 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.0667 loss: 2.0667 2022/08/20 22:38:06 - mmengine - INFO - Epoch(train) [203][100/940] lr: 4.2331e-02 eta: 5:24:56 time: 0.4167 data_time: 0.0154 memory: 8039 grad_norm: 2.6193 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1289 loss: 2.1289 2022/08/20 22:38:14 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 22:38:48 - mmengine - INFO - Epoch(train) [203][200/940] lr: 4.2331e-02 eta: 5:24:18 time: 0.3796 data_time: 0.0155 memory: 8039 grad_norm: 2.6023 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7886 loss: 1.7886 2022/08/20 22:39:28 - mmengine - INFO - Epoch(train) [203][300/940] lr: 4.2331e-02 eta: 5:23:40 time: 0.3824 data_time: 0.0163 memory: 8039 grad_norm: 2.6097 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1078 loss: 2.1078 2022/08/20 22:40:07 - mmengine - INFO - Epoch(train) [203][400/940] lr: 4.2331e-02 eta: 5:23:02 time: 0.3736 data_time: 0.0166 memory: 8039 grad_norm: 2.5504 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7047 loss: 1.7047 2022/08/20 22:40:47 - mmengine - INFO - Epoch(train) [203][500/940] lr: 4.2331e-02 eta: 5:22:24 time: 0.3806 data_time: 0.0168 memory: 8039 grad_norm: 2.6255 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8348 loss: 1.8348 2022/08/20 22:41:26 - mmengine - INFO - Epoch(train) [203][600/940] lr: 4.2331e-02 eta: 5:21:45 time: 0.3839 data_time: 0.0155 memory: 8039 grad_norm: 2.6132 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8292 loss: 1.8292 2022/08/20 22:42:05 - mmengine - INFO - Epoch(train) [203][700/940] lr: 4.2331e-02 eta: 5:21:07 time: 0.3677 data_time: 0.0172 memory: 8039 grad_norm: 2.5828 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0210 loss: 2.0210 2022/08/20 22:42:43 - mmengine - INFO - Epoch(train) [203][800/940] lr: 4.2331e-02 eta: 5:20:28 time: 0.3851 data_time: 0.0167 memory: 8039 grad_norm: 2.6279 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7573 loss: 1.7573 2022/08/20 22:43:23 - mmengine - INFO - Epoch(train) [203][900/940] lr: 4.2331e-02 eta: 5:19:50 time: 0.3906 data_time: 0.0172 memory: 8039 grad_norm: 2.6578 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8979 loss: 1.8979 2022/08/20 22:43:38 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 22:43:38 - mmengine - INFO - Epoch(train) [203][940/940] lr: 4.2331e-02 eta: 5:19:35 time: 0.3658 data_time: 0.0158 memory: 8039 grad_norm: 2.6386 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.1235 loss: 2.1235 2022/08/20 22:44:19 - mmengine - INFO - Epoch(train) [204][100/940] lr: 4.0833e-02 eta: 5:18:57 time: 0.3783 data_time: 0.0151 memory: 8039 grad_norm: 2.5848 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1892 loss: 2.1892 2022/08/20 22:44:50 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 22:44:58 - mmengine - INFO - Epoch(train) [204][200/940] lr: 4.0833e-02 eta: 5:18:19 time: 0.4148 data_time: 0.0160 memory: 8039 grad_norm: 2.6404 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2245 loss: 2.2245 2022/08/20 22:45:37 - mmengine - INFO - Epoch(train) [204][300/940] lr: 4.0833e-02 eta: 5:17:40 time: 0.3862 data_time: 0.0165 memory: 8039 grad_norm: 2.6793 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9988 loss: 1.9988 2022/08/20 22:46:16 - mmengine - INFO - Epoch(train) [204][400/940] lr: 4.0833e-02 eta: 5:17:02 time: 0.3953 data_time: 0.0166 memory: 8039 grad_norm: 2.6176 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1784 loss: 2.1784 2022/08/20 22:46:55 - mmengine - INFO - Epoch(train) [204][500/940] lr: 4.0833e-02 eta: 5:16:23 time: 0.4091 data_time: 0.0167 memory: 8039 grad_norm: 2.6087 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2365 loss: 2.2365 2022/08/20 22:47:35 - mmengine - INFO - Epoch(train) [204][600/940] lr: 4.0833e-02 eta: 5:15:45 time: 0.4063 data_time: 0.0166 memory: 8039 grad_norm: 2.6329 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0473 loss: 2.0473 2022/08/20 22:48:13 - mmengine - INFO - Epoch(train) [204][700/940] lr: 4.0833e-02 eta: 5:15:07 time: 0.4010 data_time: 0.0163 memory: 8039 grad_norm: 2.6644 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1611 loss: 2.1611 2022/08/20 22:48:54 - mmengine - INFO - Epoch(train) [204][800/940] lr: 4.0833e-02 eta: 5:14:29 time: 0.4175 data_time: 0.0180 memory: 8039 grad_norm: 2.6061 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0321 loss: 2.0321 2022/08/20 22:49:32 - mmengine - INFO - Epoch(train) [204][900/940] lr: 4.0833e-02 eta: 5:13:50 time: 0.3942 data_time: 0.0174 memory: 8039 grad_norm: 2.6628 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1745 loss: 2.1745 2022/08/20 22:49:47 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 22:49:47 - mmengine - INFO - Epoch(train) [204][940/940] lr: 4.0833e-02 eta: 5:13:35 time: 0.3532 data_time: 0.0147 memory: 8039 grad_norm: 2.7242 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.3528 loss: 2.3528 2022/08/20 22:49:47 - mmengine - INFO - Saving checkpoint at 204 epochs 2022/08/20 22:50:32 - mmengine - INFO - Epoch(train) [205][100/940] lr: 3.9358e-02 eta: 5:12:56 time: 0.3725 data_time: 0.0168 memory: 8039 grad_norm: 2.6439 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7318 loss: 1.7318 2022/08/20 22:51:10 - mmengine - INFO - Epoch(train) [205][200/940] lr: 3.9358e-02 eta: 5:12:18 time: 0.3658 data_time: 0.0164 memory: 8039 grad_norm: 2.6287 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2368 loss: 2.2368 2022/08/20 22:51:26 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 22:51:49 - mmengine - INFO - Epoch(train) [205][300/940] lr: 3.9358e-02 eta: 5:11:40 time: 0.3757 data_time: 0.0171 memory: 8039 grad_norm: 2.6494 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9757 loss: 1.9757 2022/08/20 22:52:27 - mmengine - INFO - Epoch(train) [205][400/940] lr: 3.9358e-02 eta: 5:11:01 time: 0.3968 data_time: 0.0179 memory: 8039 grad_norm: 2.6397 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9666 loss: 1.9666 2022/08/20 22:53:09 - mmengine - INFO - Epoch(train) [205][500/940] lr: 3.9358e-02 eta: 5:10:23 time: 0.4977 data_time: 0.0158 memory: 8039 grad_norm: 2.6556 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9143 loss: 1.9143 2022/08/20 22:53:46 - mmengine - INFO - Epoch(train) [205][600/940] lr: 3.9358e-02 eta: 5:09:44 time: 0.4034 data_time: 0.0167 memory: 8039 grad_norm: 2.6128 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1132 loss: 2.1132 2022/08/20 22:54:24 - mmengine - INFO - Epoch(train) [205][700/940] lr: 3.9358e-02 eta: 5:09:06 time: 0.3799 data_time: 0.0163 memory: 8039 grad_norm: 2.6735 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9354 loss: 1.9354 2022/08/20 22:55:02 - mmengine - INFO - Epoch(train) [205][800/940] lr: 3.9358e-02 eta: 5:08:27 time: 0.3863 data_time: 0.0160 memory: 8039 grad_norm: 2.6367 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7956 loss: 1.7956 2022/08/20 22:55:42 - mmengine - INFO - Epoch(train) [205][900/940] lr: 3.9358e-02 eta: 5:07:49 time: 0.3772 data_time: 0.0158 memory: 8039 grad_norm: 2.6887 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 1.9723 loss: 1.9723 2022/08/20 22:55:57 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 22:55:57 - mmengine - INFO - Epoch(train) [205][940/940] lr: 3.9358e-02 eta: 5:07:33 time: 0.3883 data_time: 0.0163 memory: 8039 grad_norm: 2.7289 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7477 loss: 1.7477 2022/08/20 22:56:17 - mmengine - INFO - Epoch(val) [205][78/78] acc/top1: 0.5986 acc/top5: 0.8273 acc/mean1: 0.5986 2022/08/20 22:56:17 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb/best_acc/top1_epoch_201.pth is removed 2022/08/20 22:56:23 - mmengine - INFO - The best checkpoint with 0.5986 acc/top1 at 206 epoch is saved to best_acc/top1_epoch_206.pth. 2022/08/20 22:57:02 - mmengine - INFO - Epoch(train) [206][100/940] lr: 3.7909e-02 eta: 5:06:55 time: 0.3677 data_time: 0.0166 memory: 8039 grad_norm: 2.6467 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9695 loss: 1.9695 2022/08/20 22:57:40 - mmengine - INFO - Epoch(train) [206][200/940] lr: 3.7909e-02 eta: 5:06:16 time: 0.3698 data_time: 0.0160 memory: 8039 grad_norm: 2.6292 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8484 loss: 1.8484 2022/08/20 22:58:18 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 22:58:19 - mmengine - INFO - Epoch(train) [206][300/940] lr: 3.7909e-02 eta: 5:05:38 time: 0.3816 data_time: 0.0172 memory: 8039 grad_norm: 2.6360 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8339 loss: 1.8339 2022/08/20 22:58:57 - mmengine - INFO - Epoch(train) [206][400/940] lr: 3.7909e-02 eta: 5:04:59 time: 0.3860 data_time: 0.0169 memory: 8039 grad_norm: 2.6501 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1262 loss: 2.1262 2022/08/20 22:59:35 - mmengine - INFO - Epoch(train) [206][500/940] lr: 3.7909e-02 eta: 5:04:21 time: 0.3685 data_time: 0.0169 memory: 8039 grad_norm: 2.6943 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9647 loss: 1.9647 2022/08/20 23:00:14 - mmengine - INFO - Epoch(train) [206][600/940] lr: 3.7909e-02 eta: 5:03:42 time: 0.4208 data_time: 0.0165 memory: 8039 grad_norm: 2.6386 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4338 loss: 1.4338 2022/08/20 23:00:53 - mmengine - INFO - Epoch(train) [206][700/940] lr: 3.7909e-02 eta: 5:03:04 time: 0.4245 data_time: 0.0158 memory: 8039 grad_norm: 2.6611 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8833 loss: 1.8833 2022/08/20 23:01:31 - mmengine - INFO - Epoch(train) [206][800/940] lr: 3.7909e-02 eta: 5:02:25 time: 0.3723 data_time: 0.0150 memory: 8039 grad_norm: 2.7212 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1569 loss: 2.1569 2022/08/20 23:02:11 - mmengine - INFO - Epoch(train) [206][900/940] lr: 3.7909e-02 eta: 5:01:47 time: 0.3678 data_time: 0.0144 memory: 8039 grad_norm: 2.7586 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0241 loss: 2.0241 2022/08/20 23:02:26 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 23:02:26 - mmengine - INFO - Epoch(train) [206][940/940] lr: 3.7909e-02 eta: 5:01:32 time: 0.3632 data_time: 0.0154 memory: 8039 grad_norm: 2.7212 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.1260 loss: 2.1260 2022/08/20 23:03:07 - mmengine - INFO - Epoch(train) [207][100/940] lr: 3.6483e-02 eta: 5:00:54 time: 0.3820 data_time: 0.0203 memory: 8039 grad_norm: 2.7493 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1862 loss: 2.1862 2022/08/20 23:03:45 - mmengine - INFO - Epoch(train) [207][200/940] lr: 3.6483e-02 eta: 5:00:15 time: 0.3816 data_time: 0.0152 memory: 8039 grad_norm: 2.6833 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0942 loss: 2.0942 2022/08/20 23:04:24 - mmengine - INFO - Epoch(train) [207][300/940] lr: 3.6483e-02 eta: 4:59:37 time: 0.4200 data_time: 0.0170 memory: 8039 grad_norm: 2.6939 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0549 loss: 2.0549 2022/08/20 23:04:47 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 23:05:02 - mmengine - INFO - Epoch(train) [207][400/940] lr: 3.6483e-02 eta: 4:58:58 time: 0.3760 data_time: 0.0147 memory: 8039 grad_norm: 2.6995 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0360 loss: 2.0360 2022/08/20 23:05:40 - mmengine - INFO - Epoch(train) [207][500/940] lr: 3.6483e-02 eta: 4:58:20 time: 0.3691 data_time: 0.0154 memory: 8039 grad_norm: 2.6298 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8057 loss: 1.8057 2022/08/20 23:06:20 - mmengine - INFO - Epoch(train) [207][600/940] lr: 3.6483e-02 eta: 4:57:41 time: 0.3661 data_time: 0.0145 memory: 8039 grad_norm: 2.7346 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2317 loss: 2.2317 2022/08/20 23:06:59 - mmengine - INFO - Epoch(train) [207][700/940] lr: 3.6483e-02 eta: 4:57:03 time: 0.3688 data_time: 0.0160 memory: 8039 grad_norm: 2.6839 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9950 loss: 1.9950 2022/08/20 23:07:38 - mmengine - INFO - Epoch(train) [207][800/940] lr: 3.6483e-02 eta: 4:56:25 time: 0.3769 data_time: 0.0157 memory: 8039 grad_norm: 2.7805 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8760 loss: 1.8760 2022/08/20 23:08:17 - mmengine - INFO - Epoch(train) [207][900/940] lr: 3.6483e-02 eta: 4:55:46 time: 0.3704 data_time: 0.0156 memory: 8039 grad_norm: 2.6647 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0280 loss: 2.0280 2022/08/20 23:08:32 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 23:08:32 - mmengine - INFO - Epoch(train) [207][940/940] lr: 3.6483e-02 eta: 4:55:31 time: 0.3658 data_time: 0.0140 memory: 8039 grad_norm: 2.8104 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 1.9029 loss: 1.9029 2022/08/20 23:09:12 - mmengine - INFO - Epoch(train) [208][100/940] lr: 3.5082e-02 eta: 4:54:53 time: 0.3901 data_time: 0.0159 memory: 8039 grad_norm: 2.7596 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8508 loss: 1.8508 2022/08/20 23:09:51 - mmengine - INFO - Epoch(train) [208][200/940] lr: 3.5082e-02 eta: 4:54:14 time: 0.3789 data_time: 0.0178 memory: 8039 grad_norm: 2.6963 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9085 loss: 1.9085 2022/08/20 23:10:30 - mmengine - INFO - Epoch(train) [208][300/940] lr: 3.5082e-02 eta: 4:53:36 time: 0.4145 data_time: 0.0160 memory: 8039 grad_norm: 2.7368 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0440 loss: 2.0440 2022/08/20 23:11:09 - mmengine - INFO - Epoch(train) [208][400/940] lr: 3.5082e-02 eta: 4:52:57 time: 0.3970 data_time: 0.0160 memory: 8039 grad_norm: 2.7604 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1712 loss: 2.1712 2022/08/20 23:11:17 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 23:11:50 - mmengine - INFO - Epoch(train) [208][500/940] lr: 3.5082e-02 eta: 4:52:19 time: 0.4929 data_time: 0.0160 memory: 8039 grad_norm: 2.7356 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5657 loss: 1.5657 2022/08/20 23:12:28 - mmengine - INFO - Epoch(train) [208][600/940] lr: 3.5082e-02 eta: 4:51:41 time: 0.3937 data_time: 0.0168 memory: 8039 grad_norm: 2.7360 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8905 loss: 1.8905 2022/08/20 23:13:07 - mmengine - INFO - Epoch(train) [208][700/940] lr: 3.5082e-02 eta: 4:51:02 time: 0.3988 data_time: 0.0166 memory: 8039 grad_norm: 2.8005 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9227 loss: 1.9227 2022/08/20 23:13:48 - mmengine - INFO - Epoch(train) [208][800/940] lr: 3.5082e-02 eta: 4:50:24 time: 0.4820 data_time: 0.0171 memory: 8039 grad_norm: 2.7624 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1270 loss: 2.1270 2022/08/20 23:14:27 - mmengine - INFO - Epoch(train) [208][900/940] lr: 3.5082e-02 eta: 4:49:46 time: 0.4135 data_time: 0.0163 memory: 8039 grad_norm: 2.7057 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8411 loss: 1.8411 2022/08/20 23:14:42 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 23:14:42 - mmengine - INFO - Epoch(train) [208][940/940] lr: 3.5082e-02 eta: 4:49:30 time: 0.3669 data_time: 0.0144 memory: 8039 grad_norm: 2.7829 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 1.7983 loss: 1.7983 2022/08/20 23:14:42 - mmengine - INFO - Saving checkpoint at 208 epochs 2022/08/20 23:15:25 - mmengine - INFO - Epoch(train) [209][100/940] lr: 3.3706e-02 eta: 4:48:52 time: 0.3966 data_time: 0.0169 memory: 8039 grad_norm: 2.7274 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8574 loss: 1.8574 2022/08/20 23:16:03 - mmengine - INFO - Epoch(train) [209][200/940] lr: 3.3706e-02 eta: 4:48:13 time: 0.3699 data_time: 0.0152 memory: 8039 grad_norm: 2.7557 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0114 loss: 2.0114 2022/08/20 23:16:40 - mmengine - INFO - Epoch(train) [209][300/940] lr: 3.3706e-02 eta: 4:47:35 time: 0.3710 data_time: 0.0168 memory: 8039 grad_norm: 2.6733 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7977 loss: 1.7977 2022/08/20 23:17:19 - mmengine - INFO - Epoch(train) [209][400/940] lr: 3.3706e-02 eta: 4:46:56 time: 0.3986 data_time: 0.0159 memory: 8039 grad_norm: 2.7471 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9921 loss: 1.9921 2022/08/20 23:17:49 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 23:17:57 - mmengine - INFO - Epoch(train) [209][500/940] lr: 3.3706e-02 eta: 4:46:18 time: 0.3982 data_time: 0.0185 memory: 8039 grad_norm: 2.7353 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.9369 loss: 1.9369 2022/08/20 23:18:35 - mmengine - INFO - Epoch(train) [209][600/940] lr: 3.3706e-02 eta: 4:45:39 time: 0.4013 data_time: 0.0174 memory: 8039 grad_norm: 2.8076 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0068 loss: 2.0068 2022/08/20 23:19:13 - mmengine - INFO - Epoch(train) [209][700/940] lr: 3.3706e-02 eta: 4:45:00 time: 0.3829 data_time: 0.0158 memory: 8039 grad_norm: 2.8079 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1147 loss: 2.1147 2022/08/20 23:19:52 - mmengine - INFO - Epoch(train) [209][800/940] lr: 3.3706e-02 eta: 4:44:22 time: 0.3730 data_time: 0.0160 memory: 8039 grad_norm: 2.7662 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7965 loss: 1.7965 2022/08/20 23:20:30 - mmengine - INFO - Epoch(train) [209][900/940] lr: 3.3706e-02 eta: 4:43:43 time: 0.3656 data_time: 0.0157 memory: 8039 grad_norm: 2.8346 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1987 loss: 2.1987 2022/08/20 23:20:45 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 23:20:45 - mmengine - INFO - Epoch(train) [209][940/940] lr: 3.3706e-02 eta: 4:43:28 time: 0.3587 data_time: 0.0146 memory: 8039 grad_norm: 2.8916 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8375 loss: 1.8375 2022/08/20 23:21:26 - mmengine - INFO - Epoch(train) [210][100/940] lr: 3.2355e-02 eta: 4:42:50 time: 0.3838 data_time: 0.0168 memory: 8039 grad_norm: 2.8360 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8553 loss: 1.8553 2022/08/20 23:22:03 - mmengine - INFO - Epoch(train) [210][200/940] lr: 3.2355e-02 eta: 4:42:11 time: 0.3672 data_time: 0.0164 memory: 8039 grad_norm: 2.7570 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8191 loss: 1.8191 2022/08/20 23:22:41 - mmengine - INFO - Epoch(train) [210][300/940] lr: 3.2355e-02 eta: 4:41:32 time: 0.3683 data_time: 0.0165 memory: 8039 grad_norm: 2.7825 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9318 loss: 1.9318 2022/08/20 23:23:19 - mmengine - INFO - Epoch(train) [210][400/940] lr: 3.2355e-02 eta: 4:40:54 time: 0.3689 data_time: 0.0146 memory: 8039 grad_norm: 2.7629 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1454 loss: 2.1454 2022/08/20 23:23:57 - mmengine - INFO - Epoch(train) [210][500/940] lr: 3.2355e-02 eta: 4:40:15 time: 0.3773 data_time: 0.0155 memory: 8039 grad_norm: 2.8767 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9134 loss: 1.9134 2022/08/20 23:24:12 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 23:24:35 - mmengine - INFO - Epoch(train) [210][600/940] lr: 3.2355e-02 eta: 4:39:37 time: 0.3680 data_time: 0.0156 memory: 8039 grad_norm: 2.8307 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9025 loss: 1.9025 2022/08/20 23:25:13 - mmengine - INFO - Epoch(train) [210][700/940] lr: 3.2355e-02 eta: 4:38:58 time: 0.3679 data_time: 0.0157 memory: 8039 grad_norm: 2.7972 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8679 loss: 1.8679 2022/08/20 23:25:51 - mmengine - INFO - Epoch(train) [210][800/940] lr: 3.2355e-02 eta: 4:38:19 time: 0.3932 data_time: 0.0163 memory: 8039 grad_norm: 2.8164 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1429 loss: 2.1429 2022/08/20 23:26:30 - mmengine - INFO - Epoch(train) [210][900/940] lr: 3.2355e-02 eta: 4:37:41 time: 0.3956 data_time: 0.0166 memory: 8039 grad_norm: 2.8451 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1545 loss: 2.1545 2022/08/20 23:26:45 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 23:26:45 - mmengine - INFO - Epoch(train) [210][940/940] lr: 3.2355e-02 eta: 4:37:25 time: 0.4101 data_time: 0.0155 memory: 8039 grad_norm: 2.8982 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6831 loss: 1.6831 2022/08/20 23:27:05 - mmengine - INFO - Epoch(val) [210][78/78] acc/top1: 0.6089 acc/top5: 0.8331 acc/mean1: 0.6087 2022/08/20 23:27:05 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb/best_acc/top1_epoch_206.pth is removed 2022/08/20 23:27:08 - mmengine - INFO - The best checkpoint with 0.6089 acc/top1 at 211 epoch is saved to best_acc/top1_epoch_211.pth. 2022/08/20 23:27:47 - mmengine - INFO - Epoch(train) [211][100/940] lr: 3.1029e-02 eta: 4:36:47 time: 0.3892 data_time: 0.0169 memory: 8039 grad_norm: 2.8703 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7579 loss: 1.7579 2022/08/20 23:28:26 - mmengine - INFO - Epoch(train) [211][200/940] lr: 3.1029e-02 eta: 4:36:09 time: 0.3856 data_time: 0.0181 memory: 8039 grad_norm: 2.7605 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7857 loss: 1.7857 2022/08/20 23:29:05 - mmengine - INFO - Epoch(train) [211][300/940] lr: 3.1029e-02 eta: 4:35:30 time: 0.4009 data_time: 0.0159 memory: 8039 grad_norm: 2.8027 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7817 loss: 1.7817 2022/08/20 23:29:43 - mmengine - INFO - Epoch(train) [211][400/940] lr: 3.1029e-02 eta: 4:34:52 time: 0.3671 data_time: 0.0156 memory: 8039 grad_norm: 2.9177 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2300 loss: 2.2300 2022/08/20 23:30:23 - mmengine - INFO - Epoch(train) [211][500/940] lr: 3.1029e-02 eta: 4:34:13 time: 0.4581 data_time: 0.0174 memory: 8039 grad_norm: 2.7971 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9339 loss: 1.9339 2022/08/20 23:31:01 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 23:31:01 - mmengine - INFO - Epoch(train) [211][600/940] lr: 3.1029e-02 eta: 4:33:35 time: 0.3691 data_time: 0.0157 memory: 8039 grad_norm: 2.9245 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9106 loss: 1.9106 2022/08/20 23:31:39 - mmengine - INFO - Epoch(train) [211][700/940] lr: 3.1029e-02 eta: 4:32:56 time: 0.3657 data_time: 0.0162 memory: 8039 grad_norm: 2.8721 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8836 loss: 1.8836 2022/08/20 23:32:18 - mmengine - INFO - Epoch(train) [211][800/940] lr: 3.1029e-02 eta: 4:32:18 time: 0.3698 data_time: 0.0154 memory: 8039 grad_norm: 2.8207 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9449 loss: 1.9449 2022/08/20 23:32:57 - mmengine - INFO - Epoch(train) [211][900/940] lr: 3.1029e-02 eta: 4:31:39 time: 0.3801 data_time: 0.0168 memory: 8039 grad_norm: 2.8799 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9297 loss: 1.9297 2022/08/20 23:33:12 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 23:33:12 - mmengine - INFO - Epoch(train) [211][940/940] lr: 3.1029e-02 eta: 4:31:24 time: 0.3830 data_time: 0.0147 memory: 8039 grad_norm: 2.9060 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9303 loss: 1.9303 2022/08/20 23:33:52 - mmengine - INFO - Epoch(train) [212][100/940] lr: 2.9729e-02 eta: 4:30:46 time: 0.4004 data_time: 0.0156 memory: 8039 grad_norm: 2.8593 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7110 loss: 1.7110 2022/08/20 23:34:31 - mmengine - INFO - Epoch(train) [212][200/940] lr: 2.9729e-02 eta: 4:30:07 time: 0.3731 data_time: 0.0164 memory: 8039 grad_norm: 2.9007 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.7448 loss: 1.7448 2022/08/20 23:35:09 - mmengine - INFO - Epoch(train) [212][300/940] lr: 2.9729e-02 eta: 4:29:29 time: 0.3682 data_time: 0.0155 memory: 8039 grad_norm: 2.8598 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1399 loss: 2.1399 2022/08/20 23:35:47 - mmengine - INFO - Epoch(train) [212][400/940] lr: 2.9729e-02 eta: 4:28:50 time: 0.3789 data_time: 0.0173 memory: 8039 grad_norm: 2.8314 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.7563 loss: 1.7563 2022/08/20 23:36:25 - mmengine - INFO - Epoch(train) [212][500/940] lr: 2.9729e-02 eta: 4:28:12 time: 0.3787 data_time: 0.0177 memory: 8039 grad_norm: 2.9414 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6941 loss: 1.6941 2022/08/20 23:37:03 - mmengine - INFO - Epoch(train) [212][600/940] lr: 2.9729e-02 eta: 4:27:33 time: 0.3677 data_time: 0.0163 memory: 8039 grad_norm: 2.9464 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0924 loss: 2.0924 2022/08/20 23:37:26 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 23:37:42 - mmengine - INFO - Epoch(train) [212][700/940] lr: 2.9729e-02 eta: 4:26:54 time: 0.4018 data_time: 0.0172 memory: 8039 grad_norm: 2.9336 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8667 loss: 1.8667 2022/08/20 23:38:20 - mmengine - INFO - Epoch(train) [212][800/940] lr: 2.9729e-02 eta: 4:26:16 time: 0.3882 data_time: 0.0174 memory: 8039 grad_norm: 2.8584 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8057 loss: 1.8057 2022/08/20 23:38:58 - mmengine - INFO - Epoch(train) [212][900/940] lr: 2.9729e-02 eta: 4:25:37 time: 0.3731 data_time: 0.0176 memory: 8039 grad_norm: 2.8468 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7344 loss: 1.7344 2022/08/20 23:39:14 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 23:39:14 - mmengine - INFO - Epoch(train) [212][940/940] lr: 2.9729e-02 eta: 4:25:22 time: 0.3641 data_time: 0.0149 memory: 8039 grad_norm: 2.9666 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9324 loss: 1.9324 2022/08/20 23:39:14 - mmengine - INFO - Saving checkpoint at 212 epochs 2022/08/20 23:39:59 - mmengine - INFO - Epoch(train) [213][100/940] lr: 2.8454e-02 eta: 4:24:44 time: 0.3673 data_time: 0.0163 memory: 8039 grad_norm: 2.8806 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6884 loss: 1.6884 2022/08/20 23:40:37 - mmengine - INFO - Epoch(train) [213][200/940] lr: 2.8454e-02 eta: 4:24:05 time: 0.3793 data_time: 0.0167 memory: 8039 grad_norm: 2.9026 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7383 loss: 1.7383 2022/08/20 23:41:15 - mmengine - INFO - Epoch(train) [213][300/940] lr: 2.8454e-02 eta: 4:23:27 time: 0.3818 data_time: 0.0152 memory: 8039 grad_norm: 2.9162 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8777 loss: 1.8777 2022/08/20 23:41:53 - mmengine - INFO - Epoch(train) [213][400/940] lr: 2.8454e-02 eta: 4:22:48 time: 0.3876 data_time: 0.0151 memory: 8039 grad_norm: 2.8553 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8816 loss: 1.8816 2022/08/20 23:42:32 - mmengine - INFO - Epoch(train) [213][500/940] lr: 2.8454e-02 eta: 4:22:09 time: 0.4161 data_time: 0.0169 memory: 8039 grad_norm: 2.8449 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8058 loss: 1.8058 2022/08/20 23:43:11 - mmengine - INFO - Epoch(train) [213][600/940] lr: 2.8454e-02 eta: 4:21:31 time: 0.4208 data_time: 0.0169 memory: 8039 grad_norm: 2.9000 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0423 loss: 2.0423 2022/08/20 23:43:49 - mmengine - INFO - Epoch(train) [213][700/940] lr: 2.8454e-02 eta: 4:20:53 time: 0.3897 data_time: 0.0169 memory: 8039 grad_norm: 2.8671 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7873 loss: 1.7873 2022/08/20 23:43:57 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 23:44:30 - mmengine - INFO - Epoch(train) [213][800/940] lr: 2.8454e-02 eta: 4:20:14 time: 0.4937 data_time: 0.0162 memory: 8039 grad_norm: 2.9172 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8976 loss: 1.8976 2022/08/20 23:45:11 - mmengine - INFO - Epoch(train) [213][900/940] lr: 2.8454e-02 eta: 4:19:37 time: 0.4600 data_time: 0.0146 memory: 8039 grad_norm: 2.8650 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2314 loss: 2.2314 2022/08/20 23:45:27 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 23:45:27 - mmengine - INFO - Epoch(train) [213][940/940] lr: 2.8454e-02 eta: 4:19:21 time: 0.3800 data_time: 0.0143 memory: 8039 grad_norm: 2.9569 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8445 loss: 1.8445 2022/08/20 23:46:10 - mmengine - INFO - Epoch(train) [214][100/940] lr: 2.7205e-02 eta: 4:18:44 time: 0.4031 data_time: 0.0162 memory: 8039 grad_norm: 2.9247 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3245 loss: 2.3245 2022/08/20 23:46:49 - mmengine - INFO - Epoch(train) [214][200/940] lr: 2.7205e-02 eta: 4:18:05 time: 0.4106 data_time: 0.0151 memory: 8039 grad_norm: 2.9401 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7923 loss: 1.7923 2022/08/20 23:47:29 - mmengine - INFO - Epoch(train) [214][300/940] lr: 2.7205e-02 eta: 4:17:27 time: 0.3953 data_time: 0.0152 memory: 8039 grad_norm: 2.9469 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8707 loss: 1.8707 2022/08/20 23:48:10 - mmengine - INFO - Epoch(train) [214][400/940] lr: 2.7205e-02 eta: 4:16:49 time: 0.4088 data_time: 0.0161 memory: 8039 grad_norm: 2.8885 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5786 loss: 1.5786 2022/08/20 23:48:50 - mmengine - INFO - Epoch(train) [214][500/940] lr: 2.7205e-02 eta: 4:16:11 time: 0.4038 data_time: 0.0151 memory: 8039 grad_norm: 2.9754 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3193 loss: 2.3193 2022/08/20 23:49:45 - mmengine - INFO - Epoch(train) [214][600/940] lr: 2.7205e-02 eta: 4:15:36 time: 1.2330 data_time: 0.0436 memory: 8039 grad_norm: 2.8974 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0648 loss: 2.0648 2022/08/20 23:50:25 - mmengine - INFO - Epoch(train) [214][700/940] lr: 2.7205e-02 eta: 4:14:57 time: 0.3998 data_time: 0.0166 memory: 8039 grad_norm: 2.9671 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8195 loss: 1.8195 2022/08/20 23:50:56 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 23:51:03 - mmengine - INFO - Epoch(train) [214][800/940] lr: 2.7205e-02 eta: 4:14:19 time: 0.3961 data_time: 0.0191 memory: 8039 grad_norm: 3.0537 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6984 loss: 1.6984 2022/08/20 23:52:06 - mmengine - INFO - Epoch(train) [214][900/940] lr: 2.7205e-02 eta: 4:13:45 time: 1.5708 data_time: 0.0174 memory: 8039 grad_norm: 3.0000 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0210 loss: 2.0210 2022/08/20 23:52:45 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 23:52:45 - mmengine - INFO - Epoch(train) [214][940/940] lr: 2.7205e-02 eta: 4:13:34 time: 0.9427 data_time: 0.0447 memory: 8039 grad_norm: 3.0377 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 1.6715 loss: 1.6715 2022/08/20 23:53:28 - mmengine - INFO - Epoch(train) [215][100/940] lr: 2.5983e-02 eta: 4:12:56 time: 0.3948 data_time: 0.0153 memory: 8039 grad_norm: 2.9808 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7889 loss: 1.7889 2022/08/20 23:54:06 - mmengine - INFO - Epoch(train) [215][200/940] lr: 2.5983e-02 eta: 4:12:18 time: 0.3727 data_time: 0.0154 memory: 8039 grad_norm: 2.9047 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9077 loss: 1.9077 2022/08/20 23:54:45 - mmengine - INFO - Epoch(train) [215][300/940] lr: 2.5983e-02 eta: 4:11:39 time: 0.3960 data_time: 0.0150 memory: 8039 grad_norm: 2.9602 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0509 loss: 2.0509 2022/08/20 23:55:27 - mmengine - INFO - Epoch(train) [215][400/940] lr: 2.5983e-02 eta: 4:11:01 time: 0.3809 data_time: 0.0151 memory: 8039 grad_norm: 2.9682 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0288 loss: 2.0288 2022/08/20 23:56:05 - mmengine - INFO - Epoch(train) [215][500/940] lr: 2.5983e-02 eta: 4:10:23 time: 0.3823 data_time: 0.0154 memory: 8039 grad_norm: 2.9848 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5097 loss: 1.5097 2022/08/20 23:56:44 - mmengine - INFO - Epoch(train) [215][600/940] lr: 2.5983e-02 eta: 4:09:44 time: 0.4326 data_time: 0.0150 memory: 8039 grad_norm: 2.9288 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6965 loss: 1.6965 2022/08/20 23:57:23 - mmengine - INFO - Epoch(train) [215][700/940] lr: 2.5983e-02 eta: 4:09:06 time: 0.3702 data_time: 0.0152 memory: 8039 grad_norm: 2.9649 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9331 loss: 1.9331 2022/08/20 23:58:02 - mmengine - INFO - Epoch(train) [215][800/940] lr: 2.5983e-02 eta: 4:08:27 time: 0.3810 data_time: 0.0155 memory: 8039 grad_norm: 2.9354 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0376 loss: 2.0376 2022/08/20 23:58:17 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 23:58:40 - mmengine - INFO - Epoch(train) [215][900/940] lr: 2.5983e-02 eta: 4:07:49 time: 0.3959 data_time: 0.0152 memory: 8039 grad_norm: 3.0089 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6641 loss: 1.6641 2022/08/20 23:58:55 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/20 23:58:55 - mmengine - INFO - Epoch(train) [215][940/940] lr: 2.5983e-02 eta: 4:07:33 time: 0.3602 data_time: 0.0154 memory: 8039 grad_norm: 3.0331 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6978 loss: 1.6978 2022/08/20 23:59:14 - mmengine - INFO - Epoch(val) [215][78/78] acc/top1: 0.6196 acc/top5: 0.8414 acc/mean1: 0.6195 2022/08/20 23:59:15 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb/best_acc/top1_epoch_211.pth is removed 2022/08/20 23:59:17 - mmengine - INFO - The best checkpoint with 0.6196 acc/top1 at 216 epoch is saved to best_acc/top1_epoch_216.pth. 2022/08/20 23:59:59 - mmengine - INFO - Epoch(train) [216][100/940] lr: 2.4786e-02 eta: 4:06:55 time: 0.3852 data_time: 0.0152 memory: 8039 grad_norm: 3.0250 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1362 loss: 2.1362 2022/08/21 00:00:47 - mmengine - INFO - Epoch(train) [216][200/940] lr: 2.4786e-02 eta: 4:06:18 time: 0.3757 data_time: 0.0151 memory: 8039 grad_norm: 3.0249 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7819 loss: 1.7819 2022/08/21 00:01:25 - mmengine - INFO - Epoch(train) [216][300/940] lr: 2.4786e-02 eta: 4:05:40 time: 0.4078 data_time: 0.0152 memory: 8039 grad_norm: 2.9210 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7692 loss: 1.7692 2022/08/21 00:02:04 - mmengine - INFO - Epoch(train) [216][400/940] lr: 2.4786e-02 eta: 4:05:01 time: 0.4048 data_time: 0.0146 memory: 8039 grad_norm: 2.9607 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7261 loss: 1.7261 2022/08/21 00:02:42 - mmengine - INFO - Epoch(train) [216][500/940] lr: 2.4786e-02 eta: 4:04:23 time: 0.3922 data_time: 0.0157 memory: 8039 grad_norm: 3.1073 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7959 loss: 1.7959 2022/08/21 00:03:21 - mmengine - INFO - Epoch(train) [216][600/940] lr: 2.4786e-02 eta: 4:03:44 time: 0.4204 data_time: 0.0153 memory: 8039 grad_norm: 3.0571 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6655 loss: 1.6655 2022/08/21 00:04:00 - mmengine - INFO - Epoch(train) [216][700/940] lr: 2.4786e-02 eta: 4:03:06 time: 0.4050 data_time: 0.0163 memory: 8039 grad_norm: 3.0258 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6041 loss: 1.6041 2022/08/21 00:04:39 - mmengine - INFO - Epoch(train) [216][800/940] lr: 2.4786e-02 eta: 4:02:27 time: 0.3871 data_time: 0.0168 memory: 8039 grad_norm: 2.9768 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8782 loss: 1.8782 2022/08/21 00:05:17 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 00:05:17 - mmengine - INFO - Epoch(train) [216][900/940] lr: 2.4786e-02 eta: 4:01:49 time: 0.3741 data_time: 0.0156 memory: 8039 grad_norm: 3.0827 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7286 loss: 1.7286 2022/08/21 00:05:32 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 00:05:32 - mmengine - INFO - Epoch(train) [216][940/940] lr: 2.4786e-02 eta: 4:01:33 time: 0.3695 data_time: 0.0137 memory: 8039 grad_norm: 3.1081 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7560 loss: 1.7560 2022/08/21 00:05:32 - mmengine - INFO - Saving checkpoint at 216 epochs 2022/08/21 00:06:18 - mmengine - INFO - Epoch(train) [217][100/940] lr: 2.3616e-02 eta: 4:00:55 time: 0.3673 data_time: 0.0155 memory: 8039 grad_norm: 2.9900 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5849 loss: 1.5849 2022/08/21 00:06:58 - mmengine - INFO - Epoch(train) [217][200/940] lr: 2.3616e-02 eta: 4:00:17 time: 0.3797 data_time: 0.0153 memory: 8039 grad_norm: 3.0839 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8787 loss: 1.8787 2022/08/21 00:07:36 - mmengine - INFO - Epoch(train) [217][300/940] lr: 2.3616e-02 eta: 3:59:38 time: 0.3657 data_time: 0.0162 memory: 8039 grad_norm: 3.0297 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7264 loss: 1.7264 2022/08/21 00:08:14 - mmengine - INFO - Epoch(train) [217][400/940] lr: 2.3616e-02 eta: 3:58:59 time: 0.3978 data_time: 0.0160 memory: 8039 grad_norm: 3.0480 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9935 loss: 1.9935 2022/08/21 00:08:52 - mmengine - INFO - Epoch(train) [217][500/940] lr: 2.3616e-02 eta: 3:58:21 time: 0.3995 data_time: 0.0156 memory: 8039 grad_norm: 3.0688 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0528 loss: 2.0528 2022/08/21 00:09:31 - mmengine - INFO - Epoch(train) [217][600/940] lr: 2.3616e-02 eta: 3:57:42 time: 0.4144 data_time: 0.0162 memory: 8039 grad_norm: 3.0449 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7338 loss: 1.7338 2022/08/21 00:10:11 - mmengine - INFO - Epoch(train) [217][700/940] lr: 2.3616e-02 eta: 3:57:04 time: 0.3982 data_time: 0.0155 memory: 8039 grad_norm: 3.0441 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6740 loss: 1.6740 2022/08/21 00:10:50 - mmengine - INFO - Epoch(train) [217][800/940] lr: 2.3616e-02 eta: 3:56:25 time: 0.4105 data_time: 0.0156 memory: 8039 grad_norm: 3.0660 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7339 loss: 1.7339 2022/08/21 00:11:27 - mmengine - INFO - Epoch(train) [217][900/940] lr: 2.3616e-02 eta: 3:55:47 time: 0.3650 data_time: 0.0154 memory: 8039 grad_norm: 3.0758 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7025 loss: 1.7025 2022/08/21 00:11:43 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 00:11:43 - mmengine - INFO - Epoch(train) [217][940/940] lr: 2.3616e-02 eta: 3:55:31 time: 0.3667 data_time: 0.0159 memory: 8039 grad_norm: 3.1739 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 2.1408 loss: 2.1408 2022/08/21 00:11:53 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 00:12:23 - mmengine - INFO - Epoch(train) [218][100/940] lr: 2.2472e-02 eta: 3:54:53 time: 0.3810 data_time: 0.0156 memory: 8039 grad_norm: 3.1100 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8645 loss: 1.8645 2022/08/21 00:13:02 - mmengine - INFO - Epoch(train) [218][200/940] lr: 2.2472e-02 eta: 3:54:14 time: 0.3830 data_time: 0.0154 memory: 8039 grad_norm: 3.1188 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7910 loss: 1.7910 2022/08/21 00:13:40 - mmengine - INFO - Epoch(train) [218][300/940] lr: 2.2472e-02 eta: 3:53:36 time: 0.3982 data_time: 0.0153 memory: 8039 grad_norm: 3.0998 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0662 loss: 2.0662 2022/08/21 00:14:18 - mmengine - INFO - Epoch(train) [218][400/940] lr: 2.2472e-02 eta: 3:52:57 time: 0.3761 data_time: 0.0165 memory: 8039 grad_norm: 3.0745 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5926 loss: 1.5926 2022/08/21 00:14:57 - mmengine - INFO - Epoch(train) [218][500/940] lr: 2.2472e-02 eta: 3:52:19 time: 0.3741 data_time: 0.0171 memory: 8039 grad_norm: 3.1114 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6384 loss: 1.6384 2022/08/21 00:15:37 - mmengine - INFO - Epoch(train) [218][600/940] lr: 2.2472e-02 eta: 3:51:40 time: 0.3956 data_time: 0.0172 memory: 8039 grad_norm: 3.0829 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7292 loss: 1.7292 2022/08/21 00:16:16 - mmengine - INFO - Epoch(train) [218][700/940] lr: 2.2472e-02 eta: 3:51:02 time: 0.3800 data_time: 0.0168 memory: 8039 grad_norm: 3.0823 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9469 loss: 1.9469 2022/08/21 00:16:55 - mmengine - INFO - Epoch(train) [218][800/940] lr: 2.2472e-02 eta: 3:50:23 time: 0.3773 data_time: 0.0166 memory: 8039 grad_norm: 3.1034 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8038 loss: 1.8038 2022/08/21 00:17:34 - mmengine - INFO - Epoch(train) [218][900/940] lr: 2.2472e-02 eta: 3:49:45 time: 0.3757 data_time: 0.0157 memory: 8039 grad_norm: 3.0410 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6568 loss: 1.6568 2022/08/21 00:17:49 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 00:17:49 - mmengine - INFO - Epoch(train) [218][940/940] lr: 2.2472e-02 eta: 3:49:29 time: 0.3617 data_time: 0.0146 memory: 8039 grad_norm: 3.2159 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 2.0040 loss: 2.0040 2022/08/21 00:18:22 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 00:18:30 - mmengine - INFO - Epoch(train) [219][100/940] lr: 2.1355e-02 eta: 3:48:51 time: 0.3866 data_time: 0.0169 memory: 8039 grad_norm: 3.0729 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7193 loss: 1.7193 2022/08/21 00:19:09 - mmengine - INFO - Epoch(train) [219][200/940] lr: 2.1355e-02 eta: 3:48:13 time: 0.3766 data_time: 0.0155 memory: 8039 grad_norm: 3.1582 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8677 loss: 1.8677 2022/08/21 00:19:50 - mmengine - INFO - Epoch(train) [219][300/940] lr: 2.1355e-02 eta: 3:47:35 time: 0.4114 data_time: 0.0160 memory: 8039 grad_norm: 3.1731 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8187 loss: 1.8187 2022/08/21 00:20:29 - mmengine - INFO - Epoch(train) [219][400/940] lr: 2.1355e-02 eta: 3:46:56 time: 0.3658 data_time: 0.0151 memory: 8039 grad_norm: 3.1704 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7677 loss: 1.7677 2022/08/21 00:21:11 - mmengine - INFO - Epoch(train) [219][500/940] lr: 2.1355e-02 eta: 3:46:18 time: 0.4052 data_time: 0.0144 memory: 8039 grad_norm: 3.1577 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9919 loss: 1.9919 2022/08/21 00:21:49 - mmengine - INFO - Epoch(train) [219][600/940] lr: 2.1355e-02 eta: 3:45:40 time: 0.3638 data_time: 0.0151 memory: 8039 grad_norm: 3.1644 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6305 loss: 1.6305 2022/08/21 00:22:29 - mmengine - INFO - Epoch(train) [219][700/940] lr: 2.1355e-02 eta: 3:45:01 time: 0.3667 data_time: 0.0157 memory: 8039 grad_norm: 3.1448 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6429 loss: 1.6429 2022/08/21 00:23:08 - mmengine - INFO - Epoch(train) [219][800/940] lr: 2.1355e-02 eta: 3:44:23 time: 0.3948 data_time: 0.0159 memory: 8039 grad_norm: 3.1586 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7172 loss: 1.7172 2022/08/21 00:23:48 - mmengine - INFO - Epoch(train) [219][900/940] lr: 2.1355e-02 eta: 3:43:45 time: 0.3858 data_time: 0.0155 memory: 8039 grad_norm: 3.1209 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7481 loss: 1.7481 2022/08/21 00:24:03 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 00:24:03 - mmengine - INFO - Epoch(train) [219][940/940] lr: 2.1355e-02 eta: 3:43:29 time: 0.3810 data_time: 0.0149 memory: 8039 grad_norm: 3.2596 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 1.9691 loss: 1.9691 2022/08/21 00:24:44 - mmengine - INFO - Epoch(train) [220][100/940] lr: 2.0265e-02 eta: 3:42:51 time: 0.4024 data_time: 0.0153 memory: 8039 grad_norm: 3.1434 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5828 loss: 1.5828 2022/08/21 00:24:59 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 00:25:24 - mmengine - INFO - Epoch(train) [220][200/940] lr: 2.0265e-02 eta: 3:42:12 time: 0.4316 data_time: 0.0153 memory: 8039 grad_norm: 3.1802 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7128 loss: 1.7128 2022/08/21 00:26:03 - mmengine - INFO - Epoch(train) [220][300/940] lr: 2.0265e-02 eta: 3:41:34 time: 0.4115 data_time: 0.0157 memory: 8039 grad_norm: 3.1983 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3138 loss: 1.3138 2022/08/21 00:26:42 - mmengine - INFO - Epoch(train) [220][400/940] lr: 2.0265e-02 eta: 3:40:55 time: 0.4362 data_time: 0.0170 memory: 8039 grad_norm: 3.1236 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6787 loss: 1.6787 2022/08/21 00:27:21 - mmengine - INFO - Epoch(train) [220][500/940] lr: 2.0265e-02 eta: 3:40:17 time: 0.3738 data_time: 0.0153 memory: 8039 grad_norm: 3.2511 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7208 loss: 1.7208 2022/08/21 00:28:00 - mmengine - INFO - Epoch(train) [220][600/940] lr: 2.0265e-02 eta: 3:39:38 time: 0.3737 data_time: 0.0154 memory: 8039 grad_norm: 3.2182 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9269 loss: 1.9269 2022/08/21 00:28:38 - mmengine - INFO - Epoch(train) [220][700/940] lr: 2.0265e-02 eta: 3:39:00 time: 0.3831 data_time: 0.0168 memory: 8039 grad_norm: 3.1936 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.7599 loss: 1.7599 2022/08/21 00:29:17 - mmengine - INFO - Epoch(train) [220][800/940] lr: 2.0265e-02 eta: 3:38:21 time: 0.3744 data_time: 0.0157 memory: 8039 grad_norm: 3.1568 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7781 loss: 1.7781 2022/08/21 00:29:56 - mmengine - INFO - Epoch(train) [220][900/940] lr: 2.0265e-02 eta: 3:37:43 time: 0.3695 data_time: 0.0172 memory: 8039 grad_norm: 3.1504 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9776 loss: 1.9776 2022/08/21 00:30:12 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 00:30:12 - mmengine - INFO - Epoch(train) [220][940/940] lr: 2.0265e-02 eta: 3:37:27 time: 0.3814 data_time: 0.0141 memory: 8039 grad_norm: 3.2367 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7876 loss: 1.7876 2022/08/21 00:30:12 - mmengine - INFO - Saving checkpoint at 220 epochs 2022/08/21 00:30:34 - mmengine - INFO - Epoch(val) [220][78/78] acc/top1: 0.6330 acc/top5: 0.8505 acc/mean1: 0.6329 2022/08/21 00:30:34 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb/best_acc/top1_epoch_216.pth is removed 2022/08/21 00:30:37 - mmengine - INFO - The best checkpoint with 0.6330 acc/top1 at 221 epoch is saved to best_acc/top1_epoch_221.pth. 2022/08/21 00:31:16 - mmengine - INFO - Epoch(train) [221][100/940] lr: 1.9202e-02 eta: 3:36:49 time: 0.3974 data_time: 0.0167 memory: 8039 grad_norm: 3.1790 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8459 loss: 1.8459 2022/08/21 00:31:55 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 00:31:55 - mmengine - INFO - Epoch(train) [221][200/940] lr: 1.9202e-02 eta: 3:36:10 time: 0.4036 data_time: 0.0169 memory: 8039 grad_norm: 3.2046 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7806 loss: 1.7806 2022/08/21 00:32:33 - mmengine - INFO - Epoch(train) [221][300/940] lr: 1.9202e-02 eta: 3:35:32 time: 0.3995 data_time: 0.0156 memory: 8039 grad_norm: 3.1480 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9575 loss: 1.9575 2022/08/21 00:33:11 - mmengine - INFO - Epoch(train) [221][400/940] lr: 1.9202e-02 eta: 3:34:53 time: 0.3904 data_time: 0.0160 memory: 8039 grad_norm: 3.2247 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6461 loss: 1.6461 2022/08/21 00:33:50 - mmengine - INFO - Epoch(train) [221][500/940] lr: 1.9202e-02 eta: 3:34:15 time: 0.3685 data_time: 0.0162 memory: 8039 grad_norm: 3.2435 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6560 loss: 1.6560 2022/08/21 00:34:28 - mmengine - INFO - Epoch(train) [221][600/940] lr: 1.9202e-02 eta: 3:33:36 time: 0.3652 data_time: 0.0150 memory: 8039 grad_norm: 3.2669 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6596 loss: 1.6596 2022/08/21 00:35:08 - mmengine - INFO - Epoch(train) [221][700/940] lr: 1.9202e-02 eta: 3:32:58 time: 0.3750 data_time: 0.0169 memory: 8039 grad_norm: 3.2092 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8155 loss: 1.8155 2022/08/21 00:35:46 - mmengine - INFO - Epoch(train) [221][800/940] lr: 1.9202e-02 eta: 3:32:19 time: 0.3672 data_time: 0.0154 memory: 8039 grad_norm: 3.1659 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0069 loss: 2.0069 2022/08/21 00:36:25 - mmengine - INFO - Epoch(train) [221][900/940] lr: 1.9202e-02 eta: 3:31:41 time: 0.4061 data_time: 0.0151 memory: 8039 grad_norm: 3.3050 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8186 loss: 1.8186 2022/08/21 00:36:41 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 00:36:41 - mmengine - INFO - Epoch(train) [221][940/940] lr: 1.9202e-02 eta: 3:31:25 time: 0.3830 data_time: 0.0146 memory: 8039 grad_norm: 3.3131 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 1.7107 loss: 1.7107 2022/08/21 00:37:22 - mmengine - INFO - Epoch(train) [222][100/940] lr: 1.8166e-02 eta: 3:30:47 time: 0.4167 data_time: 0.0152 memory: 8039 grad_norm: 3.2607 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7077 loss: 1.7077 2022/08/21 00:38:01 - mmengine - INFO - Epoch(train) [222][200/940] lr: 1.8166e-02 eta: 3:30:08 time: 0.3687 data_time: 0.0156 memory: 8039 grad_norm: 3.2718 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3822 loss: 1.3822 2022/08/21 00:38:24 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 00:38:39 - mmengine - INFO - Epoch(train) [222][300/940] lr: 1.8166e-02 eta: 3:29:30 time: 0.3741 data_time: 0.0160 memory: 8039 grad_norm: 3.3011 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7769 loss: 1.7769 2022/08/21 00:39:18 - mmengine - INFO - Epoch(train) [222][400/940] lr: 1.8166e-02 eta: 3:28:51 time: 0.3764 data_time: 0.0168 memory: 8039 grad_norm: 3.3192 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0403 loss: 2.0403 2022/08/21 00:39:57 - mmengine - INFO - Epoch(train) [222][500/940] lr: 1.8166e-02 eta: 3:28:13 time: 0.3695 data_time: 0.0171 memory: 8039 grad_norm: 3.2687 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7142 loss: 1.7142 2022/08/21 00:40:35 - mmengine - INFO - Epoch(train) [222][600/940] lr: 1.8166e-02 eta: 3:27:34 time: 0.3803 data_time: 0.0164 memory: 8039 grad_norm: 3.3216 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7095 loss: 1.7095 2022/08/21 00:41:14 - mmengine - INFO - Epoch(train) [222][700/940] lr: 1.8166e-02 eta: 3:26:56 time: 0.3756 data_time: 0.0172 memory: 8039 grad_norm: 3.2491 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.6854 loss: 1.6854 2022/08/21 00:41:52 - mmengine - INFO - Epoch(train) [222][800/940] lr: 1.8166e-02 eta: 3:26:17 time: 0.3767 data_time: 0.0157 memory: 8039 grad_norm: 3.3013 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5603 loss: 1.5603 2022/08/21 00:42:30 - mmengine - INFO - Epoch(train) [222][900/940] lr: 1.8166e-02 eta: 3:25:38 time: 0.3710 data_time: 0.0155 memory: 8039 grad_norm: 3.2349 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7142 loss: 1.7142 2022/08/21 00:42:46 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 00:42:46 - mmengine - INFO - Epoch(train) [222][940/940] lr: 1.8166e-02 eta: 3:25:23 time: 0.3801 data_time: 0.0148 memory: 8039 grad_norm: 3.4247 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6341 loss: 1.6341 2022/08/21 00:43:27 - mmengine - INFO - Epoch(train) [223][100/940] lr: 1.7158e-02 eta: 3:24:45 time: 0.4076 data_time: 0.0160 memory: 8039 grad_norm: 3.3225 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.5417 loss: 1.5417 2022/08/21 00:44:05 - mmengine - INFO - Epoch(train) [223][200/940] lr: 1.7158e-02 eta: 3:24:06 time: 0.3959 data_time: 0.0168 memory: 8039 grad_norm: 3.2626 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7607 loss: 1.7607 2022/08/21 00:44:44 - mmengine - INFO - Epoch(train) [223][300/940] lr: 1.7158e-02 eta: 3:23:28 time: 0.3991 data_time: 0.0155 memory: 8039 grad_norm: 3.2485 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7632 loss: 1.7632 2022/08/21 00:44:51 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 00:45:21 - mmengine - INFO - Epoch(train) [223][400/940] lr: 1.7158e-02 eta: 3:22:49 time: 0.3723 data_time: 0.0164 memory: 8039 grad_norm: 3.3953 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4808 loss: 1.4808 2022/08/21 00:46:00 - mmengine - INFO - Epoch(train) [223][500/940] lr: 1.7158e-02 eta: 3:22:10 time: 0.3770 data_time: 0.0168 memory: 8039 grad_norm: 3.3161 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8676 loss: 1.8676 2022/08/21 00:46:39 - mmengine - INFO - Epoch(train) [223][600/940] lr: 1.7158e-02 eta: 3:21:32 time: 0.3776 data_time: 0.0186 memory: 8039 grad_norm: 3.3255 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8865 loss: 1.8865 2022/08/21 00:47:18 - mmengine - INFO - Epoch(train) [223][700/940] lr: 1.7158e-02 eta: 3:20:53 time: 0.3708 data_time: 0.0179 memory: 8039 grad_norm: 3.3274 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9033 loss: 1.9033 2022/08/21 00:47:56 - mmengine - INFO - Epoch(train) [223][800/940] lr: 1.7158e-02 eta: 3:20:15 time: 0.3880 data_time: 0.0159 memory: 8039 grad_norm: 3.3517 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8676 loss: 1.8676 2022/08/21 00:48:34 - mmengine - INFO - Epoch(train) [223][900/940] lr: 1.7158e-02 eta: 3:19:36 time: 0.3974 data_time: 0.0165 memory: 8039 grad_norm: 3.3711 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8582 loss: 1.8582 2022/08/21 00:48:48 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 00:48:48 - mmengine - INFO - Epoch(train) [223][940/940] lr: 1.7158e-02 eta: 3:19:20 time: 0.3543 data_time: 0.0172 memory: 8039 grad_norm: 3.3996 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7622 loss: 1.7622 2022/08/21 00:49:29 - mmengine - INFO - Epoch(train) [224][100/940] lr: 1.6177e-02 eta: 3:18:42 time: 0.3788 data_time: 0.0176 memory: 8039 grad_norm: 3.3323 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5312 loss: 1.5312 2022/08/21 00:50:10 - mmengine - INFO - Epoch(train) [224][200/940] lr: 1.6177e-02 eta: 3:18:04 time: 0.3922 data_time: 0.0159 memory: 8039 grad_norm: 3.3417 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9885 loss: 1.9885 2022/08/21 00:50:48 - mmengine - INFO - Epoch(train) [224][300/940] lr: 1.6177e-02 eta: 3:17:25 time: 0.3737 data_time: 0.0163 memory: 8039 grad_norm: 3.3440 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4219 loss: 1.4219 2022/08/21 00:51:19 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 00:51:27 - mmengine - INFO - Epoch(train) [224][400/940] lr: 1.6177e-02 eta: 3:16:47 time: 0.3723 data_time: 0.0177 memory: 8039 grad_norm: 3.3729 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0413 loss: 2.0413 2022/08/21 00:52:05 - mmengine - INFO - Epoch(train) [224][500/940] lr: 1.6177e-02 eta: 3:16:08 time: 0.3682 data_time: 0.0158 memory: 8039 grad_norm: 3.3250 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5403 loss: 1.5403 2022/08/21 00:52:43 - mmengine - INFO - Epoch(train) [224][600/940] lr: 1.6177e-02 eta: 3:15:30 time: 0.3701 data_time: 0.0150 memory: 8039 grad_norm: 3.3746 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5524 loss: 1.5524 2022/08/21 00:53:21 - mmengine - INFO - Epoch(train) [224][700/940] lr: 1.6177e-02 eta: 3:14:51 time: 0.3680 data_time: 0.0153 memory: 8039 grad_norm: 3.3690 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6422 loss: 1.6422 2022/08/21 00:54:01 - mmengine - INFO - Epoch(train) [224][800/940] lr: 1.6177e-02 eta: 3:14:12 time: 0.3674 data_time: 0.0158 memory: 8039 grad_norm: 3.3638 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7237 loss: 1.7237 2022/08/21 00:54:39 - mmengine - INFO - Epoch(train) [224][900/940] lr: 1.6177e-02 eta: 3:13:34 time: 0.3890 data_time: 0.0171 memory: 8039 grad_norm: 3.3608 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9243 loss: 1.9243 2022/08/21 00:54:55 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 00:54:55 - mmengine - INFO - Epoch(train) [224][940/940] lr: 1.6177e-02 eta: 3:13:18 time: 0.3941 data_time: 0.0171 memory: 8039 grad_norm: 3.5164 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9106 loss: 1.9106 2022/08/21 00:54:55 - mmengine - INFO - Saving checkpoint at 224 epochs 2022/08/21 00:55:39 - mmengine - INFO - Epoch(train) [225][100/940] lr: 1.5224e-02 eta: 3:12:40 time: 0.4252 data_time: 0.0155 memory: 8039 grad_norm: 3.3144 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6448 loss: 1.6448 2022/08/21 00:56:17 - mmengine - INFO - Epoch(train) [225][200/940] lr: 1.5224e-02 eta: 3:12:01 time: 0.4073 data_time: 0.0159 memory: 8039 grad_norm: 3.4043 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.7999 loss: 1.7999 2022/08/21 00:56:56 - mmengine - INFO - Epoch(train) [225][300/940] lr: 1.5224e-02 eta: 3:11:23 time: 0.4016 data_time: 0.0157 memory: 8039 grad_norm: 3.3633 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6026 loss: 1.6026 2022/08/21 00:57:34 - mmengine - INFO - Epoch(train) [225][400/940] lr: 1.5224e-02 eta: 3:10:44 time: 0.4128 data_time: 0.0151 memory: 8039 grad_norm: 3.3763 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8086 loss: 1.8086 2022/08/21 00:57:49 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 00:58:12 - mmengine - INFO - Epoch(train) [225][500/940] lr: 1.5224e-02 eta: 3:10:06 time: 0.3791 data_time: 0.0154 memory: 8039 grad_norm: 3.4578 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8100 loss: 1.8100 2022/08/21 00:58:50 - mmengine - INFO - Epoch(train) [225][600/940] lr: 1.5224e-02 eta: 3:09:27 time: 0.3770 data_time: 0.0166 memory: 8039 grad_norm: 3.4559 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6785 loss: 1.6785 2022/08/21 00:59:29 - mmengine - INFO - Epoch(train) [225][700/940] lr: 1.5224e-02 eta: 3:08:48 time: 0.3717 data_time: 0.0171 memory: 8039 grad_norm: 3.4641 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6628 loss: 1.6628 2022/08/21 01:00:07 - mmengine - INFO - Epoch(train) [225][800/940] lr: 1.5224e-02 eta: 3:08:10 time: 0.3723 data_time: 0.0168 memory: 8039 grad_norm: 3.4571 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7669 loss: 1.7669 2022/08/21 01:00:46 - mmengine - INFO - Epoch(train) [225][900/940] lr: 1.5224e-02 eta: 3:07:31 time: 0.3734 data_time: 0.0171 memory: 8039 grad_norm: 3.3943 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6367 loss: 1.6367 2022/08/21 01:01:00 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 01:01:00 - mmengine - INFO - Epoch(train) [225][940/940] lr: 1.5224e-02 eta: 3:07:16 time: 0.3711 data_time: 0.0150 memory: 8039 grad_norm: 3.5348 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 1.7875 loss: 1.7875 2022/08/21 01:01:20 - mmengine - INFO - Epoch(val) [225][78/78] acc/top1: 0.6426 acc/top5: 0.8544 acc/mean1: 0.6425 2022/08/21 01:01:20 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb/best_acc/top1_epoch_221.pth is removed 2022/08/21 01:01:23 - mmengine - INFO - The best checkpoint with 0.6426 acc/top1 at 226 epoch is saved to best_acc/top1_epoch_226.pth. 2022/08/21 01:02:03 - mmengine - INFO - Epoch(train) [226][100/940] lr: 1.4299e-02 eta: 3:06:37 time: 0.3720 data_time: 0.0163 memory: 8039 grad_norm: 3.4457 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5640 loss: 1.5640 2022/08/21 01:02:42 - mmengine - INFO - Epoch(train) [226][200/940] lr: 1.4299e-02 eta: 3:05:59 time: 0.3772 data_time: 0.0154 memory: 8039 grad_norm: 3.4615 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7539 loss: 1.7539 2022/08/21 01:03:19 - mmengine - INFO - Epoch(train) [226][300/940] lr: 1.4299e-02 eta: 3:05:20 time: 0.3800 data_time: 0.0156 memory: 8039 grad_norm: 3.4507 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5525 loss: 1.5525 2022/08/21 01:03:59 - mmengine - INFO - Epoch(train) [226][400/940] lr: 1.4299e-02 eta: 3:04:42 time: 0.4507 data_time: 0.0155 memory: 8039 grad_norm: 3.4691 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6981 loss: 1.6981 2022/08/21 01:04:37 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 01:04:37 - mmengine - INFO - Epoch(train) [226][500/940] lr: 1.4299e-02 eta: 3:04:03 time: 0.3987 data_time: 0.0157 memory: 8039 grad_norm: 3.4457 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1034 loss: 2.1034 2022/08/21 01:05:15 - mmengine - INFO - Epoch(train) [226][600/940] lr: 1.4299e-02 eta: 3:03:24 time: 0.3950 data_time: 0.0173 memory: 8039 grad_norm: 3.4613 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.9058 loss: 1.9058 2022/08/21 01:05:53 - mmengine - INFO - Epoch(train) [226][700/940] lr: 1.4299e-02 eta: 3:02:46 time: 0.3616 data_time: 0.0154 memory: 8039 grad_norm: 3.4311 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5381 loss: 1.5381 2022/08/21 01:06:31 - mmengine - INFO - Epoch(train) [226][800/940] lr: 1.4299e-02 eta: 3:02:07 time: 0.3637 data_time: 0.0162 memory: 8039 grad_norm: 3.3989 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8506 loss: 1.8506 2022/08/21 01:07:10 - mmengine - INFO - Epoch(train) [226][900/940] lr: 1.4299e-02 eta: 3:01:29 time: 0.3670 data_time: 0.0156 memory: 8039 grad_norm: 3.4323 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8054 loss: 1.8054 2022/08/21 01:07:25 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 01:07:25 - mmengine - INFO - Epoch(train) [226][940/940] lr: 1.4299e-02 eta: 3:01:13 time: 0.3518 data_time: 0.0148 memory: 8039 grad_norm: 3.6047 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6473 loss: 1.6473 2022/08/21 01:08:06 - mmengine - INFO - Epoch(train) [227][100/940] lr: 1.3401e-02 eta: 3:00:35 time: 0.4069 data_time: 0.0153 memory: 8039 grad_norm: 3.4908 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6592 loss: 1.6592 2022/08/21 01:08:44 - mmengine - INFO - Epoch(train) [227][200/940] lr: 1.3401e-02 eta: 2:59:56 time: 0.3803 data_time: 0.0158 memory: 8039 grad_norm: 3.4101 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5518 loss: 1.5518 2022/08/21 01:09:22 - mmengine - INFO - Epoch(train) [227][300/940] lr: 1.3401e-02 eta: 2:59:18 time: 0.3719 data_time: 0.0159 memory: 8039 grad_norm: 3.4729 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7020 loss: 1.7020 2022/08/21 01:10:01 - mmengine - INFO - Epoch(train) [227][400/940] lr: 1.3401e-02 eta: 2:58:39 time: 0.3773 data_time: 0.0161 memory: 8039 grad_norm: 3.5311 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5465 loss: 1.5465 2022/08/21 01:10:40 - mmengine - INFO - Epoch(train) [227][500/940] lr: 1.3401e-02 eta: 2:58:01 time: 0.3859 data_time: 0.0160 memory: 8039 grad_norm: 3.5490 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5209 loss: 1.5209 2022/08/21 01:11:03 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 01:11:19 - mmengine - INFO - Epoch(train) [227][600/940] lr: 1.3401e-02 eta: 2:57:22 time: 0.4095 data_time: 0.0163 memory: 8039 grad_norm: 3.4683 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7634 loss: 1.7634 2022/08/21 01:11:58 - mmengine - INFO - Epoch(train) [227][700/940] lr: 1.3401e-02 eta: 2:56:43 time: 0.4168 data_time: 0.0167 memory: 8039 grad_norm: 3.4765 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9074 loss: 1.9074 2022/08/21 01:12:36 - mmengine - INFO - Epoch(train) [227][800/940] lr: 1.3401e-02 eta: 2:56:05 time: 0.4067 data_time: 0.0146 memory: 8039 grad_norm: 3.5625 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8506 loss: 1.8506 2022/08/21 01:13:15 - mmengine - INFO - Epoch(train) [227][900/940] lr: 1.3401e-02 eta: 2:55:26 time: 0.4038 data_time: 0.0154 memory: 8039 grad_norm: 3.5227 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7019 loss: 1.7019 2022/08/21 01:13:30 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 01:13:30 - mmengine - INFO - Epoch(train) [227][940/940] lr: 1.3401e-02 eta: 2:55:11 time: 0.3718 data_time: 0.0147 memory: 8039 grad_norm: 3.6926 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 1.7098 loss: 1.7098 2022/08/21 01:14:10 - mmengine - INFO - Epoch(train) [228][100/940] lr: 1.2532e-02 eta: 2:54:33 time: 0.4083 data_time: 0.0168 memory: 8039 grad_norm: 3.5393 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1159 loss: 2.1159 2022/08/21 01:14:50 - mmengine - INFO - Epoch(train) [228][200/940] lr: 1.2532e-02 eta: 2:53:54 time: 0.3802 data_time: 0.0166 memory: 8039 grad_norm: 3.4830 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5352 loss: 1.5352 2022/08/21 01:15:28 - mmengine - INFO - Epoch(train) [228][300/940] lr: 1.2532e-02 eta: 2:53:15 time: 0.3739 data_time: 0.0166 memory: 8039 grad_norm: 3.5426 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4917 loss: 1.4917 2022/08/21 01:16:07 - mmengine - INFO - Epoch(train) [228][400/940] lr: 1.2532e-02 eta: 2:52:37 time: 0.3775 data_time: 0.0167 memory: 8039 grad_norm: 3.5734 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7935 loss: 1.7935 2022/08/21 01:16:46 - mmengine - INFO - Epoch(train) [228][500/940] lr: 1.2532e-02 eta: 2:51:59 time: 0.4071 data_time: 0.0168 memory: 8039 grad_norm: 3.6795 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8171 loss: 1.8171 2022/08/21 01:17:26 - mmengine - INFO - Epoch(train) [228][600/940] lr: 1.2532e-02 eta: 2:51:20 time: 0.4552 data_time: 0.0147 memory: 8039 grad_norm: 3.5632 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6938 loss: 1.6938 2022/08/21 01:17:33 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 01:18:04 - mmengine - INFO - Epoch(train) [228][700/940] lr: 1.2532e-02 eta: 2:50:41 time: 0.3808 data_time: 0.0153 memory: 8039 grad_norm: 3.6264 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6774 loss: 1.6774 2022/08/21 01:18:42 - mmengine - INFO - Epoch(train) [228][800/940] lr: 1.2532e-02 eta: 2:50:03 time: 0.3689 data_time: 0.0156 memory: 8039 grad_norm: 3.6159 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7237 loss: 1.7237 2022/08/21 01:19:20 - mmengine - INFO - Epoch(train) [228][900/940] lr: 1.2532e-02 eta: 2:49:24 time: 0.3720 data_time: 0.0154 memory: 8039 grad_norm: 3.5540 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7045 loss: 1.7045 2022/08/21 01:19:36 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 01:19:36 - mmengine - INFO - Epoch(train) [228][940/940] lr: 1.2532e-02 eta: 2:49:09 time: 0.3676 data_time: 0.0146 memory: 8039 grad_norm: 3.6667 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.0096 loss: 2.0096 2022/08/21 01:19:36 - mmengine - INFO - Saving checkpoint at 228 epochs 2022/08/21 01:20:19 - mmengine - INFO - Epoch(train) [229][100/940] lr: 1.1691e-02 eta: 2:48:30 time: 0.4001 data_time: 0.0159 memory: 8039 grad_norm: 3.5109 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6700 loss: 1.6700 2022/08/21 01:20:57 - mmengine - INFO - Epoch(train) [229][200/940] lr: 1.1691e-02 eta: 2:47:52 time: 0.3952 data_time: 0.0181 memory: 8039 grad_norm: 3.4949 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7919 loss: 1.7919 2022/08/21 01:21:36 - mmengine - INFO - Epoch(train) [229][300/940] lr: 1.1691e-02 eta: 2:47:13 time: 0.4120 data_time: 0.0148 memory: 8039 grad_norm: 3.6535 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6254 loss: 1.6254 2022/08/21 01:22:14 - mmengine - INFO - Epoch(train) [229][400/940] lr: 1.1691e-02 eta: 2:46:34 time: 0.3796 data_time: 0.0153 memory: 8039 grad_norm: 3.5411 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6085 loss: 1.6085 2022/08/21 01:22:53 - mmengine - INFO - Epoch(train) [229][500/940] lr: 1.1691e-02 eta: 2:45:56 time: 0.3695 data_time: 0.0159 memory: 8039 grad_norm: 3.5930 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7282 loss: 1.7282 2022/08/21 01:23:32 - mmengine - INFO - Epoch(train) [229][600/940] lr: 1.1691e-02 eta: 2:45:17 time: 0.3945 data_time: 0.0156 memory: 8039 grad_norm: 3.5908 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5371 loss: 1.5371 2022/08/21 01:24:03 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 01:24:11 - mmengine - INFO - Epoch(train) [229][700/940] lr: 1.1691e-02 eta: 2:44:39 time: 0.3984 data_time: 0.0151 memory: 8039 grad_norm: 3.5727 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5508 loss: 1.5508 2022/08/21 01:24:49 - mmengine - INFO - Epoch(train) [229][800/940] lr: 1.1691e-02 eta: 2:44:00 time: 0.3940 data_time: 0.0169 memory: 8039 grad_norm: 3.6494 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6055 loss: 1.6055 2022/08/21 01:25:28 - mmengine - INFO - Epoch(train) [229][900/940] lr: 1.1691e-02 eta: 2:43:22 time: 0.3856 data_time: 0.0178 memory: 8039 grad_norm: 3.6093 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7864 loss: 1.7864 2022/08/21 01:25:43 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 01:25:43 - mmengine - INFO - Epoch(train) [229][940/940] lr: 1.1691e-02 eta: 2:43:06 time: 0.3626 data_time: 0.0143 memory: 8039 grad_norm: 3.8055 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7988 loss: 1.7988 2022/08/21 01:26:23 - mmengine - INFO - Epoch(train) [230][100/940] lr: 1.0879e-02 eta: 2:42:28 time: 0.3858 data_time: 0.0163 memory: 8039 grad_norm: 3.5770 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8078 loss: 1.8078 2022/08/21 01:27:01 - mmengine - INFO - Epoch(train) [230][200/940] lr: 1.0879e-02 eta: 2:41:49 time: 0.3830 data_time: 0.0167 memory: 8039 grad_norm: 3.6074 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3800 loss: 1.3800 2022/08/21 01:27:40 - mmengine - INFO - Epoch(train) [230][300/940] lr: 1.0879e-02 eta: 2:41:11 time: 0.4055 data_time: 0.0176 memory: 8039 grad_norm: 3.5476 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4695 loss: 1.4695 2022/08/21 01:28:19 - mmengine - INFO - Epoch(train) [230][400/940] lr: 1.0879e-02 eta: 2:40:32 time: 0.4074 data_time: 0.0169 memory: 8039 grad_norm: 3.6318 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6944 loss: 1.6944 2022/08/21 01:28:57 - mmengine - INFO - Epoch(train) [230][500/940] lr: 1.0879e-02 eta: 2:39:54 time: 0.4116 data_time: 0.0157 memory: 8039 grad_norm: 3.6714 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7510 loss: 1.7510 2022/08/21 01:29:36 - mmengine - INFO - Epoch(train) [230][600/940] lr: 1.0879e-02 eta: 2:39:15 time: 0.3808 data_time: 0.0154 memory: 8039 grad_norm: 3.5816 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7368 loss: 1.7368 2022/08/21 01:30:14 - mmengine - INFO - Epoch(train) [230][700/940] lr: 1.0879e-02 eta: 2:38:36 time: 0.3855 data_time: 0.0158 memory: 8039 grad_norm: 3.6158 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3987 loss: 1.3987 2022/08/21 01:30:30 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 01:30:52 - mmengine - INFO - Epoch(train) [230][800/940] lr: 1.0879e-02 eta: 2:37:58 time: 0.3842 data_time: 0.0162 memory: 8039 grad_norm: 3.6872 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6833 loss: 1.6833 2022/08/21 01:31:31 - mmengine - INFO - Epoch(train) [230][900/940] lr: 1.0879e-02 eta: 2:37:19 time: 0.3738 data_time: 0.0150 memory: 8039 grad_norm: 3.6347 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.5196 loss: 1.5196 2022/08/21 01:31:46 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 01:31:46 - mmengine - INFO - Epoch(train) [230][940/940] lr: 1.0879e-02 eta: 2:37:04 time: 0.3653 data_time: 0.0149 memory: 8039 grad_norm: 3.7485 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4719 loss: 1.4719 2022/08/21 01:32:06 - mmengine - INFO - Epoch(val) [230][78/78] acc/top1: 0.6579 acc/top5: 0.8640 acc/mean1: 0.6579 2022/08/21 01:32:06 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb/best_acc/top1_epoch_226.pth is removed 2022/08/21 01:32:09 - mmengine - INFO - The best checkpoint with 0.6579 acc/top1 at 231 epoch is saved to best_acc/top1_epoch_231.pth. 2022/08/21 01:32:49 - mmengine - INFO - Epoch(train) [231][100/940] lr: 1.0094e-02 eta: 2:36:25 time: 0.4047 data_time: 0.0170 memory: 8039 grad_norm: 3.6262 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7225 loss: 1.7225 2022/08/21 01:33:27 - mmengine - INFO - Epoch(train) [231][200/940] lr: 1.0094e-02 eta: 2:35:47 time: 0.3948 data_time: 0.0153 memory: 8039 grad_norm: 3.6315 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4786 loss: 1.4786 2022/08/21 01:34:05 - mmengine - INFO - Epoch(train) [231][300/940] lr: 1.0094e-02 eta: 2:35:08 time: 0.3726 data_time: 0.0170 memory: 8039 grad_norm: 3.7305 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8396 loss: 1.8396 2022/08/21 01:34:43 - mmengine - INFO - Epoch(train) [231][400/940] lr: 1.0094e-02 eta: 2:34:29 time: 0.3680 data_time: 0.0162 memory: 8039 grad_norm: 3.6126 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7046 loss: 1.7046 2022/08/21 01:35:21 - mmengine - INFO - Epoch(train) [231][500/940] lr: 1.0094e-02 eta: 2:33:51 time: 0.3880 data_time: 0.0176 memory: 8039 grad_norm: 3.7634 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5378 loss: 1.5378 2022/08/21 01:36:00 - mmengine - INFO - Epoch(train) [231][600/940] lr: 1.0094e-02 eta: 2:33:12 time: 0.3719 data_time: 0.0166 memory: 8039 grad_norm: 3.6627 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.4081 loss: 1.4081 2022/08/21 01:36:38 - mmengine - INFO - Epoch(train) [231][700/940] lr: 1.0094e-02 eta: 2:32:34 time: 0.3725 data_time: 0.0145 memory: 8039 grad_norm: 3.7470 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7550 loss: 1.7550 2022/08/21 01:37:17 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 01:37:17 - mmengine - INFO - Epoch(train) [231][800/940] lr: 1.0094e-02 eta: 2:31:55 time: 0.3990 data_time: 0.0158 memory: 8039 grad_norm: 3.7446 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7943 loss: 1.7943 2022/08/21 01:37:55 - mmengine - INFO - Epoch(train) [231][900/940] lr: 1.0094e-02 eta: 2:31:17 time: 0.3668 data_time: 0.0163 memory: 8039 grad_norm: 3.6506 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7208 loss: 1.7208 2022/08/21 01:38:10 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 01:38:10 - mmengine - INFO - Epoch(train) [231][940/940] lr: 1.0094e-02 eta: 2:31:01 time: 0.3766 data_time: 0.0146 memory: 8039 grad_norm: 3.9019 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6104 loss: 1.6104 2022/08/21 01:38:51 - mmengine - INFO - Epoch(train) [232][100/940] lr: 9.3388e-03 eta: 2:30:23 time: 0.4068 data_time: 0.0171 memory: 8039 grad_norm: 3.7935 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5258 loss: 1.5258 2022/08/21 01:39:30 - mmengine - INFO - Epoch(train) [232][200/940] lr: 9.3388e-03 eta: 2:29:44 time: 0.4125 data_time: 0.0174 memory: 8039 grad_norm: 3.8020 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5495 loss: 1.5495 2022/08/21 01:40:08 - mmengine - INFO - Epoch(train) [232][300/940] lr: 9.3388e-03 eta: 2:29:06 time: 0.3815 data_time: 0.0159 memory: 8039 grad_norm: 3.7866 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5311 loss: 1.5311 2022/08/21 01:40:46 - mmengine - INFO - Epoch(train) [232][400/940] lr: 9.3388e-03 eta: 2:28:27 time: 0.3737 data_time: 0.0164 memory: 8039 grad_norm: 3.7531 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8162 loss: 1.8162 2022/08/21 01:41:25 - mmengine - INFO - Epoch(train) [232][500/940] lr: 9.3388e-03 eta: 2:27:48 time: 0.4036 data_time: 0.0159 memory: 8039 grad_norm: 3.8050 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8561 loss: 1.8561 2022/08/21 01:42:03 - mmengine - INFO - Epoch(train) [232][600/940] lr: 9.3388e-03 eta: 2:27:10 time: 0.3956 data_time: 0.0161 memory: 8039 grad_norm: 3.7777 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.6640 loss: 1.6640 2022/08/21 01:42:41 - mmengine - INFO - Epoch(train) [232][700/940] lr: 9.3388e-03 eta: 2:26:31 time: 0.3895 data_time: 0.0150 memory: 8039 grad_norm: 3.7049 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5700 loss: 1.5700 2022/08/21 01:43:20 - mmengine - INFO - Epoch(train) [232][800/940] lr: 9.3388e-03 eta: 2:25:53 time: 0.3995 data_time: 0.0167 memory: 8039 grad_norm: 3.7540 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6938 loss: 1.6938 2022/08/21 01:43:43 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 01:43:59 - mmengine - INFO - Epoch(train) [232][900/940] lr: 9.3388e-03 eta: 2:25:14 time: 0.4422 data_time: 0.0152 memory: 8039 grad_norm: 3.7967 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7071 loss: 1.7071 2022/08/21 01:44:14 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 01:44:14 - mmengine - INFO - Epoch(train) [232][940/940] lr: 9.3388e-03 eta: 2:24:59 time: 0.3704 data_time: 0.0163 memory: 8039 grad_norm: 3.8927 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5309 loss: 1.5309 2022/08/21 01:44:14 - mmengine - INFO - Saving checkpoint at 232 epochs 2022/08/21 01:44:59 - mmengine - INFO - Epoch(train) [233][100/940] lr: 8.6119e-03 eta: 2:24:20 time: 0.3747 data_time: 0.0157 memory: 8039 grad_norm: 3.7741 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5138 loss: 1.5138 2022/08/21 01:45:37 - mmengine - INFO - Epoch(train) [233][200/940] lr: 8.6119e-03 eta: 2:23:42 time: 0.3690 data_time: 0.0158 memory: 8039 grad_norm: 3.8190 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3860 loss: 1.3860 2022/08/21 01:46:16 - mmengine - INFO - Epoch(train) [233][300/940] lr: 8.6119e-03 eta: 2:23:03 time: 0.4172 data_time: 0.0171 memory: 8039 grad_norm: 3.7594 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5422 loss: 1.5422 2022/08/21 01:46:54 - mmengine - INFO - Epoch(train) [233][400/940] lr: 8.6119e-03 eta: 2:22:24 time: 0.3773 data_time: 0.0155 memory: 8039 grad_norm: 3.7704 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3768 loss: 1.3768 2022/08/21 01:47:33 - mmengine - INFO - Epoch(train) [233][500/940] lr: 8.6119e-03 eta: 2:21:46 time: 0.4313 data_time: 0.0159 memory: 8039 grad_norm: 3.8429 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6797 loss: 1.6797 2022/08/21 01:48:11 - mmengine - INFO - Epoch(train) [233][600/940] lr: 8.6119e-03 eta: 2:21:07 time: 0.4115 data_time: 0.0171 memory: 8039 grad_norm: 3.7651 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7659 loss: 1.7659 2022/08/21 01:48:49 - mmengine - INFO - Epoch(train) [233][700/940] lr: 8.6119e-03 eta: 2:20:29 time: 0.3793 data_time: 0.0176 memory: 8039 grad_norm: 3.7912 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3580 loss: 1.3580 2022/08/21 01:49:27 - mmengine - INFO - Epoch(train) [233][800/940] lr: 8.6119e-03 eta: 2:19:50 time: 0.3620 data_time: 0.0157 memory: 8039 grad_norm: 3.7987 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6968 loss: 1.6968 2022/08/21 01:50:05 - mmengine - INFO - Epoch(train) [233][900/940] lr: 8.6119e-03 eta: 2:19:11 time: 0.3713 data_time: 0.0154 memory: 8039 grad_norm: 3.8189 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8420 loss: 1.8420 2022/08/21 01:50:13 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 01:50:20 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 01:50:20 - mmengine - INFO - Epoch(train) [233][940/940] lr: 8.6119e-03 eta: 2:18:56 time: 0.3679 data_time: 0.0144 memory: 8039 grad_norm: 4.0036 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4581 loss: 1.4581 2022/08/21 01:51:01 - mmengine - INFO - Epoch(train) [234][100/940] lr: 7.9139e-03 eta: 2:18:18 time: 0.3694 data_time: 0.0172 memory: 8039 grad_norm: 3.8105 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4817 loss: 1.4817 2022/08/21 01:51:40 - mmengine - INFO - Epoch(train) [234][200/940] lr: 7.9139e-03 eta: 2:17:39 time: 0.3736 data_time: 0.0150 memory: 8039 grad_norm: 3.7652 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3633 loss: 1.3633 2022/08/21 01:52:18 - mmengine - INFO - Epoch(train) [234][300/940] lr: 7.9139e-03 eta: 2:17:01 time: 0.3850 data_time: 0.0149 memory: 8039 grad_norm: 3.7290 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6983 loss: 1.6983 2022/08/21 01:52:56 - mmengine - INFO - Epoch(train) [234][400/940] lr: 7.9139e-03 eta: 2:16:22 time: 0.3647 data_time: 0.0172 memory: 8039 grad_norm: 3.9013 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3464 loss: 1.3464 2022/08/21 01:53:35 - mmengine - INFO - Epoch(train) [234][500/940] lr: 7.9139e-03 eta: 2:15:43 time: 0.3818 data_time: 0.0160 memory: 8039 grad_norm: 3.8921 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7479 loss: 1.7479 2022/08/21 01:54:13 - mmengine - INFO - Epoch(train) [234][600/940] lr: 7.9139e-03 eta: 2:15:05 time: 0.3796 data_time: 0.0150 memory: 8039 grad_norm: 3.7838 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5916 loss: 1.5916 2022/08/21 01:54:51 - mmengine - INFO - Epoch(train) [234][700/940] lr: 7.9139e-03 eta: 2:14:26 time: 0.4013 data_time: 0.0164 memory: 8039 grad_norm: 3.8250 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5550 loss: 1.5550 2022/08/21 01:55:29 - mmengine - INFO - Epoch(train) [234][800/940] lr: 7.9139e-03 eta: 2:13:48 time: 0.3914 data_time: 0.0159 memory: 8039 grad_norm: 3.8784 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8941 loss: 1.8941 2022/08/21 01:56:08 - mmengine - INFO - Epoch(train) [234][900/940] lr: 7.9139e-03 eta: 2:13:09 time: 0.3753 data_time: 0.0155 memory: 8039 grad_norm: 3.9618 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5045 loss: 1.5045 2022/08/21 01:56:23 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 01:56:23 - mmengine - INFO - Epoch(train) [234][940/940] lr: 7.9139e-03 eta: 2:12:54 time: 0.3702 data_time: 0.0153 memory: 8039 grad_norm: 4.0377 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5366 loss: 1.5366 2022/08/21 01:56:42 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 01:57:04 - mmengine - INFO - Epoch(train) [235][100/940] lr: 7.2448e-03 eta: 2:12:15 time: 0.3995 data_time: 0.0164 memory: 8039 grad_norm: 3.9780 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4354 loss: 1.4354 2022/08/21 01:57:43 - mmengine - INFO - Epoch(train) [235][200/940] lr: 7.2448e-03 eta: 2:11:37 time: 0.4111 data_time: 0.0174 memory: 8039 grad_norm: 3.8514 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4317 loss: 1.4317 2022/08/21 01:58:22 - mmengine - INFO - Epoch(train) [235][300/940] lr: 7.2448e-03 eta: 2:10:58 time: 0.4130 data_time: 0.0170 memory: 8039 grad_norm: 3.9298 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1448 loss: 1.1448 2022/08/21 01:59:00 - mmengine - INFO - Epoch(train) [235][400/940] lr: 7.2448e-03 eta: 2:10:20 time: 0.3936 data_time: 0.0181 memory: 8039 grad_norm: 3.9593 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6817 loss: 1.6817 2022/08/21 01:59:39 - mmengine - INFO - Epoch(train) [235][500/940] lr: 7.2448e-03 eta: 2:09:41 time: 0.3779 data_time: 0.0155 memory: 8039 grad_norm: 3.9253 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7058 loss: 1.7058 2022/08/21 02:00:22 - mmengine - INFO - Epoch(train) [235][600/940] lr: 7.2448e-03 eta: 2:09:03 time: 0.5254 data_time: 0.0193 memory: 8039 grad_norm: 3.9241 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7116 loss: 1.7116 2022/08/21 02:01:02 - mmengine - INFO - Epoch(train) [235][700/940] lr: 7.2448e-03 eta: 2:08:24 time: 0.3874 data_time: 0.0161 memory: 8039 grad_norm: 3.9262 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4580 loss: 1.4580 2022/08/21 02:01:40 - mmengine - INFO - Epoch(train) [235][800/940] lr: 7.2448e-03 eta: 2:07:46 time: 0.3836 data_time: 0.0150 memory: 8039 grad_norm: 3.8916 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4335 loss: 1.4335 2022/08/21 02:02:18 - mmengine - INFO - Epoch(train) [235][900/940] lr: 7.2448e-03 eta: 2:07:07 time: 0.3813 data_time: 0.0157 memory: 8039 grad_norm: 3.9410 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4432 loss: 1.4432 2022/08/21 02:02:34 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 02:02:34 - mmengine - INFO - Epoch(train) [235][940/940] lr: 7.2448e-03 eta: 2:06:52 time: 0.3959 data_time: 0.0171 memory: 8039 grad_norm: 4.0966 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 1.5574 loss: 1.5574 2022/08/21 02:02:54 - mmengine - INFO - Epoch(val) [235][78/78] acc/top1: 0.6708 acc/top5: 0.8702 acc/mean1: 0.6708 2022/08/21 02:02:54 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb/best_acc/top1_epoch_231.pth is removed 2022/08/21 02:02:57 - mmengine - INFO - The best checkpoint with 0.6708 acc/top1 at 236 epoch is saved to best_acc/top1_epoch_236.pth. 2022/08/21 02:03:37 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 02:03:37 - mmengine - INFO - Epoch(train) [236][100/940] lr: 6.6047e-03 eta: 2:06:13 time: 0.3932 data_time: 0.0164 memory: 8039 grad_norm: 4.0334 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3929 loss: 1.3929 2022/08/21 02:04:16 - mmengine - INFO - Epoch(train) [236][200/940] lr: 6.6047e-03 eta: 2:05:35 time: 0.4236 data_time: 0.0175 memory: 8039 grad_norm: 3.8977 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4135 loss: 1.4135 2022/08/21 02:04:54 - mmengine - INFO - Epoch(train) [236][300/940] lr: 6.6047e-03 eta: 2:04:56 time: 0.3919 data_time: 0.0164 memory: 8039 grad_norm: 3.9603 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4489 loss: 1.4489 2022/08/21 02:05:32 - mmengine - INFO - Epoch(train) [236][400/940] lr: 6.6047e-03 eta: 2:04:18 time: 0.4058 data_time: 0.0166 memory: 8039 grad_norm: 3.9845 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7206 loss: 1.7206 2022/08/21 02:06:11 - mmengine - INFO - Epoch(train) [236][500/940] lr: 6.6047e-03 eta: 2:03:39 time: 0.4124 data_time: 0.0162 memory: 8039 grad_norm: 3.9927 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6673 loss: 1.6673 2022/08/21 02:06:49 - mmengine - INFO - Epoch(train) [236][600/940] lr: 6.6047e-03 eta: 2:03:00 time: 0.3709 data_time: 0.0158 memory: 8039 grad_norm: 3.9592 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6262 loss: 1.6262 2022/08/21 02:07:28 - mmengine - INFO - Epoch(train) [236][700/940] lr: 6.6047e-03 eta: 2:02:22 time: 0.3662 data_time: 0.0152 memory: 8039 grad_norm: 3.9830 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4221 loss: 1.4221 2022/08/21 02:08:06 - mmengine - INFO - Epoch(train) [236][800/940] lr: 6.6047e-03 eta: 2:01:43 time: 0.3707 data_time: 0.0154 memory: 8039 grad_norm: 3.9625 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5027 loss: 1.5027 2022/08/21 02:08:44 - mmengine - INFO - Epoch(train) [236][900/940] lr: 6.6047e-03 eta: 2:01:05 time: 0.3701 data_time: 0.0162 memory: 8039 grad_norm: 3.9408 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7052 loss: 1.7052 2022/08/21 02:08:59 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 02:08:59 - mmengine - INFO - Epoch(train) [236][940/940] lr: 6.6047e-03 eta: 2:00:49 time: 0.3615 data_time: 0.0149 memory: 8039 grad_norm: 4.0275 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2891 loss: 1.2891 2022/08/21 02:09:00 - mmengine - INFO - Saving checkpoint at 236 epochs 2022/08/21 02:09:44 - mmengine - INFO - Epoch(train) [237][100/940] lr: 5.9937e-03 eta: 2:00:11 time: 0.4332 data_time: 0.0148 memory: 8039 grad_norm: 4.0514 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2404 loss: 1.2404 2022/08/21 02:10:07 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 02:10:23 - mmengine - INFO - Epoch(train) [237][200/940] lr: 5.9937e-03 eta: 1:59:32 time: 0.4006 data_time: 0.0159 memory: 8039 grad_norm: 3.9551 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4332 loss: 1.4332 2022/08/21 02:11:01 - mmengine - INFO - Epoch(train) [237][300/940] lr: 5.9937e-03 eta: 1:58:54 time: 0.4026 data_time: 0.0158 memory: 8039 grad_norm: 4.0403 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5408 loss: 1.5408 2022/08/21 02:11:40 - mmengine - INFO - Epoch(train) [237][400/940] lr: 5.9937e-03 eta: 1:58:15 time: 0.3920 data_time: 0.0155 memory: 8039 grad_norm: 4.0077 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5557 loss: 1.5557 2022/08/21 02:12:19 - mmengine - INFO - Epoch(train) [237][500/940] lr: 5.9937e-03 eta: 1:57:37 time: 0.3762 data_time: 0.0173 memory: 8039 grad_norm: 4.0291 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2424 loss: 1.2424 2022/08/21 02:12:58 - mmengine - INFO - Epoch(train) [237][600/940] lr: 5.9937e-03 eta: 1:56:58 time: 0.4109 data_time: 0.0169 memory: 8039 grad_norm: 3.9975 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4846 loss: 1.4846 2022/08/21 02:13:37 - mmengine - INFO - Epoch(train) [237][700/940] lr: 5.9937e-03 eta: 1:56:19 time: 0.3906 data_time: 0.0179 memory: 8039 grad_norm: 3.9825 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3199 loss: 1.3199 2022/08/21 02:14:15 - mmengine - INFO - Epoch(train) [237][800/940] lr: 5.9937e-03 eta: 1:55:41 time: 0.3841 data_time: 0.0163 memory: 8039 grad_norm: 4.1626 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7483 loss: 1.7483 2022/08/21 02:14:54 - mmengine - INFO - Epoch(train) [237][900/940] lr: 5.9937e-03 eta: 1:55:02 time: 0.3737 data_time: 0.0160 memory: 8039 grad_norm: 4.0457 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6862 loss: 1.6862 2022/08/21 02:15:08 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 02:15:08 - mmengine - INFO - Epoch(train) [237][940/940] lr: 5.9937e-03 eta: 1:54:47 time: 0.3475 data_time: 0.0155 memory: 8039 grad_norm: 4.2501 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7271 loss: 1.7271 2022/08/21 02:15:48 - mmengine - INFO - Epoch(train) [238][100/940] lr: 5.4120e-03 eta: 1:54:08 time: 0.3714 data_time: 0.0173 memory: 8039 grad_norm: 4.0245 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3592 loss: 1.3592 2022/08/21 02:16:27 - mmengine - INFO - Epoch(train) [238][200/940] lr: 5.4120e-03 eta: 1:53:30 time: 0.3761 data_time: 0.0152 memory: 8039 grad_norm: 4.0721 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4744 loss: 1.4744 2022/08/21 02:16:35 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 02:17:06 - mmengine - INFO - Epoch(train) [238][300/940] lr: 5.4120e-03 eta: 1:52:51 time: 0.3816 data_time: 0.0163 memory: 8039 grad_norm: 4.0140 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4226 loss: 1.4226 2022/08/21 02:17:44 - mmengine - INFO - Epoch(train) [238][400/940] lr: 5.4120e-03 eta: 1:52:13 time: 0.3759 data_time: 0.0156 memory: 8039 grad_norm: 4.0869 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3450 loss: 1.3450 2022/08/21 02:18:23 - mmengine - INFO - Epoch(train) [238][500/940] lr: 5.4120e-03 eta: 1:51:34 time: 0.3826 data_time: 0.0156 memory: 8039 grad_norm: 4.0437 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4400 loss: 1.4400 2022/08/21 02:19:01 - mmengine - INFO - Epoch(train) [238][600/940] lr: 5.4120e-03 eta: 1:50:55 time: 0.3755 data_time: 0.0154 memory: 8039 grad_norm: 4.1316 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4869 loss: 1.4869 2022/08/21 02:19:40 - mmengine - INFO - Epoch(train) [238][700/940] lr: 5.4120e-03 eta: 1:50:17 time: 0.3762 data_time: 0.0165 memory: 8039 grad_norm: 4.0962 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2744 loss: 1.2744 2022/08/21 02:20:20 - mmengine - INFO - Epoch(train) [238][800/940] lr: 5.4120e-03 eta: 1:49:38 time: 0.3723 data_time: 0.0153 memory: 8039 grad_norm: 4.1468 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5925 loss: 1.5925 2022/08/21 02:20:58 - mmengine - INFO - Epoch(train) [238][900/940] lr: 5.4120e-03 eta: 1:49:00 time: 0.4013 data_time: 0.0162 memory: 8039 grad_norm: 4.2194 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5196 loss: 1.5196 2022/08/21 02:21:14 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 02:21:14 - mmengine - INFO - Epoch(train) [238][940/940] lr: 5.4120e-03 eta: 1:48:44 time: 0.3641 data_time: 0.0160 memory: 8039 grad_norm: 4.2054 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5761 loss: 1.5761 2022/08/21 02:21:55 - mmengine - INFO - Epoch(train) [239][100/940] lr: 4.8596e-03 eta: 1:48:06 time: 0.4234 data_time: 0.0172 memory: 8039 grad_norm: 4.0228 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1876 loss: 1.1876 2022/08/21 02:22:33 - mmengine - INFO - Epoch(train) [239][200/940] lr: 4.8596e-03 eta: 1:47:27 time: 0.3868 data_time: 0.0168 memory: 8039 grad_norm: 4.1194 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3144 loss: 1.3144 2022/08/21 02:23:03 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 02:23:11 - mmengine - INFO - Epoch(train) [239][300/940] lr: 4.8596e-03 eta: 1:46:49 time: 0.3719 data_time: 0.0165 memory: 8039 grad_norm: 4.1021 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4554 loss: 1.4554 2022/08/21 02:23:50 - mmengine - INFO - Epoch(train) [239][400/940] lr: 4.8596e-03 eta: 1:46:10 time: 0.3784 data_time: 0.0155 memory: 8039 grad_norm: 4.1957 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2081 loss: 1.2081 2022/08/21 02:24:28 - mmengine - INFO - Epoch(train) [239][500/940] lr: 4.8596e-03 eta: 1:45:32 time: 0.3655 data_time: 0.0157 memory: 8039 grad_norm: 4.0943 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5236 loss: 1.5236 2022/08/21 02:25:08 - mmengine - INFO - Epoch(train) [239][600/940] lr: 4.8596e-03 eta: 1:44:53 time: 0.3687 data_time: 0.0156 memory: 8039 grad_norm: 4.1351 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2495 loss: 1.2495 2022/08/21 02:25:47 - mmengine - INFO - Epoch(train) [239][700/940] lr: 4.8596e-03 eta: 1:44:15 time: 0.3726 data_time: 0.0153 memory: 8039 grad_norm: 4.1062 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4877 loss: 1.4877 2022/08/21 02:26:25 - mmengine - INFO - Epoch(train) [239][800/940] lr: 4.8596e-03 eta: 1:43:36 time: 0.3744 data_time: 0.0160 memory: 8039 grad_norm: 4.1168 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3175 loss: 1.3175 2022/08/21 02:27:06 - mmengine - INFO - Epoch(train) [239][900/940] lr: 4.8596e-03 eta: 1:42:58 time: 0.3728 data_time: 0.0157 memory: 8039 grad_norm: 4.2135 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3486 loss: 1.3486 2022/08/21 02:27:21 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 02:27:21 - mmengine - INFO - Epoch(train) [239][940/940] lr: 4.8596e-03 eta: 1:42:42 time: 0.3821 data_time: 0.0148 memory: 8039 grad_norm: 4.2995 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4636 loss: 1.4636 2022/08/21 02:28:02 - mmengine - INFO - Epoch(train) [240][100/940] lr: 4.3365e-03 eta: 1:42:04 time: 0.3730 data_time: 0.0157 memory: 8039 grad_norm: 4.1614 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3189 loss: 1.3189 2022/08/21 02:28:41 - mmengine - INFO - Epoch(train) [240][200/940] lr: 4.3365e-03 eta: 1:41:25 time: 0.3789 data_time: 0.0162 memory: 8039 grad_norm: 4.1232 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3480 loss: 1.3480 2022/08/21 02:29:21 - mmengine - INFO - Epoch(train) [240][300/940] lr: 4.3365e-03 eta: 1:40:47 time: 0.3745 data_time: 0.0159 memory: 8039 grad_norm: 4.1569 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5238 loss: 1.5238 2022/08/21 02:29:36 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 02:30:00 - mmengine - INFO - Epoch(train) [240][400/940] lr: 4.3365e-03 eta: 1:40:08 time: 0.4002 data_time: 0.0152 memory: 8039 grad_norm: 4.2847 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7084 loss: 1.7084 2022/08/21 02:30:41 - mmengine - INFO - Epoch(train) [240][500/940] lr: 4.3365e-03 eta: 1:39:30 time: 0.3645 data_time: 0.0160 memory: 8039 grad_norm: 4.1287 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3999 loss: 1.3999 2022/08/21 02:31:20 - mmengine - INFO - Epoch(train) [240][600/940] lr: 4.3365e-03 eta: 1:38:51 time: 0.4281 data_time: 0.0148 memory: 8039 grad_norm: 4.1534 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3051 loss: 1.3051 2022/08/21 02:31:58 - mmengine - INFO - Epoch(train) [240][700/940] lr: 4.3365e-03 eta: 1:38:13 time: 0.4000 data_time: 0.0159 memory: 8039 grad_norm: 4.1877 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3957 loss: 1.3957 2022/08/21 02:32:37 - mmengine - INFO - Epoch(train) [240][800/940] lr: 4.3365e-03 eta: 1:37:34 time: 0.3946 data_time: 0.0154 memory: 8039 grad_norm: 4.2210 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3044 loss: 1.3044 2022/08/21 02:33:16 - mmengine - INFO - Epoch(train) [240][900/940] lr: 4.3365e-03 eta: 1:36:56 time: 0.3689 data_time: 0.0156 memory: 8039 grad_norm: 4.1636 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3607 loss: 1.3607 2022/08/21 02:33:31 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 02:33:31 - mmengine - INFO - Epoch(train) [240][940/940] lr: 4.3365e-03 eta: 1:36:40 time: 0.3604 data_time: 0.0146 memory: 8039 grad_norm: 4.3227 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3355 loss: 1.3355 2022/08/21 02:33:31 - mmengine - INFO - Saving checkpoint at 240 epochs 2022/08/21 02:33:54 - mmengine - INFO - Epoch(val) [240][78/78] acc/top1: 0.6816 acc/top5: 0.8749 acc/mean1: 0.6815 2022/08/21 02:33:54 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb/best_acc/top1_epoch_236.pth is removed 2022/08/21 02:33:57 - mmengine - INFO - The best checkpoint with 0.6816 acc/top1 at 241 epoch is saved to best_acc/top1_epoch_241.pth. 2022/08/21 02:34:36 - mmengine - INFO - Epoch(train) [241][100/940] lr: 3.8429e-03 eta: 1:36:02 time: 0.4001 data_time: 0.0173 memory: 8039 grad_norm: 4.2312 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3049 loss: 1.3049 2022/08/21 02:35:15 - mmengine - INFO - Epoch(train) [241][200/940] lr: 3.8429e-03 eta: 1:35:23 time: 0.3933 data_time: 0.0176 memory: 8039 grad_norm: 4.1935 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4913 loss: 1.4913 2022/08/21 02:35:52 - mmengine - INFO - Epoch(train) [241][300/940] lr: 3.8429e-03 eta: 1:34:44 time: 0.3663 data_time: 0.0163 memory: 8039 grad_norm: 4.1915 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5849 loss: 1.5849 2022/08/21 02:36:31 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 02:36:31 - mmengine - INFO - Epoch(train) [241][400/940] lr: 3.8429e-03 eta: 1:34:06 time: 0.3683 data_time: 0.0159 memory: 8039 grad_norm: 4.3599 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5678 loss: 1.5678 2022/08/21 02:37:10 - mmengine - INFO - Epoch(train) [241][500/940] lr: 3.8429e-03 eta: 1:33:27 time: 0.3927 data_time: 0.0159 memory: 8039 grad_norm: 4.2891 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7380 loss: 1.7380 2022/08/21 02:37:49 - mmengine - INFO - Epoch(train) [241][600/940] lr: 3.8429e-03 eta: 1:32:49 time: 0.3852 data_time: 0.0158 memory: 8039 grad_norm: 4.2365 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4411 loss: 1.4411 2022/08/21 02:38:27 - mmengine - INFO - Epoch(train) [241][700/940] lr: 3.8429e-03 eta: 1:32:10 time: 0.4137 data_time: 0.0168 memory: 8039 grad_norm: 4.2997 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4729 loss: 1.4729 2022/08/21 02:39:07 - mmengine - INFO - Epoch(train) [241][800/940] lr: 3.8429e-03 eta: 1:31:32 time: 0.4140 data_time: 0.0160 memory: 8039 grad_norm: 4.2862 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3763 loss: 1.3763 2022/08/21 02:39:46 - mmengine - INFO - Epoch(train) [241][900/940] lr: 3.8429e-03 eta: 1:30:53 time: 0.4082 data_time: 0.0168 memory: 8039 grad_norm: 4.2177 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6713 loss: 1.6713 2022/08/21 02:40:01 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 02:40:01 - mmengine - INFO - Epoch(train) [241][940/940] lr: 3.8429e-03 eta: 1:30:38 time: 0.3563 data_time: 0.0148 memory: 8039 grad_norm: 4.3525 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 1.3530 loss: 1.3530 2022/08/21 02:40:42 - mmengine - INFO - Epoch(train) [242][100/940] lr: 3.3789e-03 eta: 1:29:59 time: 0.3761 data_time: 0.0167 memory: 8039 grad_norm: 4.2582 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5537 loss: 1.5537 2022/08/21 02:41:20 - mmengine - INFO - Epoch(train) [242][200/940] lr: 3.3789e-03 eta: 1:29:21 time: 0.3814 data_time: 0.0163 memory: 8039 grad_norm: 4.2659 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2676 loss: 1.2676 2022/08/21 02:41:59 - mmengine - INFO - Epoch(train) [242][300/940] lr: 3.3789e-03 eta: 1:28:42 time: 0.4061 data_time: 0.0173 memory: 8039 grad_norm: 4.3179 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3446 loss: 1.3446 2022/08/21 02:42:38 - mmengine - INFO - Epoch(train) [242][400/940] lr: 3.3789e-03 eta: 1:28:04 time: 0.3877 data_time: 0.0162 memory: 8039 grad_norm: 4.2233 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3406 loss: 1.3406 2022/08/21 02:43:01 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 02:43:16 - mmengine - INFO - Epoch(train) [242][500/940] lr: 3.3789e-03 eta: 1:27:25 time: 0.3702 data_time: 0.0172 memory: 8039 grad_norm: 4.2262 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3285 loss: 1.3285 2022/08/21 02:43:55 - mmengine - INFO - Epoch(train) [242][600/940] lr: 3.3789e-03 eta: 1:26:46 time: 0.3842 data_time: 0.0159 memory: 8039 grad_norm: 4.3623 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4168 loss: 1.4168 2022/08/21 02:44:33 - mmengine - INFO - Epoch(train) [242][700/940] lr: 3.3789e-03 eta: 1:26:08 time: 0.3759 data_time: 0.0155 memory: 8039 grad_norm: 4.2138 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4603 loss: 1.4603 2022/08/21 02:45:12 - mmengine - INFO - Epoch(train) [242][800/940] lr: 3.3789e-03 eta: 1:25:29 time: 0.3699 data_time: 0.0164 memory: 8039 grad_norm: 4.3543 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5603 loss: 1.5603 2022/08/21 02:45:50 - mmengine - INFO - Epoch(train) [242][900/940] lr: 3.3789e-03 eta: 1:24:51 time: 0.3896 data_time: 0.0163 memory: 8039 grad_norm: 4.2706 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1989 loss: 1.1989 2022/08/21 02:46:06 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 02:46:06 - mmengine - INFO - Epoch(train) [242][940/940] lr: 3.3789e-03 eta: 1:24:35 time: 0.3864 data_time: 0.0169 memory: 8039 grad_norm: 4.4730 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4345 loss: 1.4345 2022/08/21 02:46:46 - mmengine - INFO - Epoch(train) [243][100/940] lr: 2.9445e-03 eta: 1:23:57 time: 0.4027 data_time: 0.0172 memory: 8039 grad_norm: 4.2793 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6390 loss: 1.6390 2022/08/21 02:47:24 - mmengine - INFO - Epoch(train) [243][200/940] lr: 2.9445e-03 eta: 1:23:18 time: 0.3948 data_time: 0.0157 memory: 8039 grad_norm: 4.3350 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4476 loss: 1.4476 2022/08/21 02:48:03 - mmengine - INFO - Epoch(train) [243][300/940] lr: 2.9445e-03 eta: 1:22:40 time: 0.3867 data_time: 0.0159 memory: 8039 grad_norm: 4.3318 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5391 loss: 1.5391 2022/08/21 02:48:41 - mmengine - INFO - Epoch(train) [243][400/940] lr: 2.9445e-03 eta: 1:22:01 time: 0.3701 data_time: 0.0158 memory: 8039 grad_norm: 4.3207 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3888 loss: 1.3888 2022/08/21 02:49:19 - mmengine - INFO - Epoch(train) [243][500/940] lr: 2.9445e-03 eta: 1:21:22 time: 0.3667 data_time: 0.0161 memory: 8039 grad_norm: 4.2901 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4273 loss: 1.4273 2022/08/21 02:49:27 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 02:49:57 - mmengine - INFO - Epoch(train) [243][600/940] lr: 2.9445e-03 eta: 1:20:44 time: 0.3677 data_time: 0.0158 memory: 8039 grad_norm: 4.3692 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2469 loss: 1.2469 2022/08/21 02:50:35 - mmengine - INFO - Epoch(train) [243][700/940] lr: 2.9445e-03 eta: 1:20:05 time: 0.3689 data_time: 0.0144 memory: 8039 grad_norm: 4.3614 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4421 loss: 1.4421 2022/08/21 02:51:13 - mmengine - INFO - Epoch(train) [243][800/940] lr: 2.9445e-03 eta: 1:19:27 time: 0.3736 data_time: 0.0162 memory: 8039 grad_norm: 4.2836 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2518 loss: 1.2518 2022/08/21 02:51:51 - mmengine - INFO - Epoch(train) [243][900/940] lr: 2.9445e-03 eta: 1:18:48 time: 0.3714 data_time: 0.0153 memory: 8039 grad_norm: 4.3246 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1495 loss: 1.1495 2022/08/21 02:52:06 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 02:52:06 - mmengine - INFO - Epoch(train) [243][940/940] lr: 2.9445e-03 eta: 1:18:33 time: 0.3660 data_time: 0.0156 memory: 8039 grad_norm: 4.4118 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2718 loss: 1.2718 2022/08/21 02:52:47 - mmengine - INFO - Epoch(train) [244][100/940] lr: 2.5397e-03 eta: 1:17:54 time: 0.3840 data_time: 0.0159 memory: 8039 grad_norm: 4.2776 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5314 loss: 1.5314 2022/08/21 02:53:26 - mmengine - INFO - Epoch(train) [244][200/940] lr: 2.5397e-03 eta: 1:17:16 time: 0.4043 data_time: 0.0158 memory: 8039 grad_norm: 4.3449 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4822 loss: 1.4822 2022/08/21 02:54:04 - mmengine - INFO - Epoch(train) [244][300/940] lr: 2.5397e-03 eta: 1:16:37 time: 0.3658 data_time: 0.0148 memory: 8039 grad_norm: 4.3233 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3020 loss: 1.3020 2022/08/21 02:54:42 - mmengine - INFO - Epoch(train) [244][400/940] lr: 2.5397e-03 eta: 1:15:58 time: 0.3700 data_time: 0.0175 memory: 8039 grad_norm: 4.3535 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4541 loss: 1.4541 2022/08/21 02:55:23 - mmengine - INFO - Epoch(train) [244][500/940] lr: 2.5397e-03 eta: 1:15:20 time: 0.4267 data_time: 0.0165 memory: 8039 grad_norm: 4.3280 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4388 loss: 1.4388 2022/08/21 02:55:54 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 02:56:02 - mmengine - INFO - Epoch(train) [244][600/940] lr: 2.5397e-03 eta: 1:14:41 time: 0.4161 data_time: 0.0174 memory: 8039 grad_norm: 4.3524 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2124 loss: 1.2124 2022/08/21 02:56:40 - mmengine - INFO - Epoch(train) [244][700/940] lr: 2.5397e-03 eta: 1:14:03 time: 0.3994 data_time: 0.0157 memory: 8039 grad_norm: 4.3787 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3382 loss: 1.3382 2022/08/21 02:57:20 - mmengine - INFO - Epoch(train) [244][800/940] lr: 2.5397e-03 eta: 1:13:24 time: 0.4273 data_time: 0.0149 memory: 8039 grad_norm: 4.3925 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3724 loss: 1.3724 2022/08/21 02:57:58 - mmengine - INFO - Epoch(train) [244][900/940] lr: 2.5397e-03 eta: 1:12:46 time: 0.3921 data_time: 0.0158 memory: 8039 grad_norm: 4.4292 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4628 loss: 1.4628 2022/08/21 02:58:12 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 02:58:12 - mmengine - INFO - Epoch(train) [244][940/940] lr: 2.5397e-03 eta: 1:12:30 time: 0.3594 data_time: 0.0167 memory: 8039 grad_norm: 4.5752 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6016 loss: 1.6016 2022/08/21 02:58:12 - mmengine - INFO - Saving checkpoint at 244 epochs 2022/08/21 02:58:58 - mmengine - INFO - Epoch(train) [245][100/940] lr: 2.1647e-03 eta: 1:11:52 time: 0.4452 data_time: 0.0159 memory: 8039 grad_norm: 4.3850 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1950 loss: 1.1950 2022/08/21 02:59:37 - mmengine - INFO - Epoch(train) [245][200/940] lr: 2.1647e-03 eta: 1:11:13 time: 0.4605 data_time: 0.0158 memory: 8039 grad_norm: 4.4124 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1409 loss: 1.1409 2022/08/21 03:00:15 - mmengine - INFO - Epoch(train) [245][300/940] lr: 2.1647e-03 eta: 1:10:35 time: 0.3683 data_time: 0.0156 memory: 8039 grad_norm: 4.3725 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4541 loss: 1.4541 2022/08/21 03:00:53 - mmengine - INFO - Epoch(train) [245][400/940] lr: 2.1647e-03 eta: 1:09:56 time: 0.3776 data_time: 0.0175 memory: 8039 grad_norm: 4.4498 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3309 loss: 1.3309 2022/08/21 03:01:32 - mmengine - INFO - Epoch(train) [245][500/940] lr: 2.1647e-03 eta: 1:09:17 time: 0.4063 data_time: 0.0156 memory: 8039 grad_norm: 4.3882 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3970 loss: 1.3970 2022/08/21 03:02:11 - mmengine - INFO - Epoch(train) [245][600/940] lr: 2.1647e-03 eta: 1:08:39 time: 0.4124 data_time: 0.0160 memory: 8039 grad_norm: 4.4732 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3239 loss: 1.3239 2022/08/21 03:02:26 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 03:02:49 - mmengine - INFO - Epoch(train) [245][700/940] lr: 2.1647e-03 eta: 1:08:00 time: 0.3929 data_time: 0.0160 memory: 8039 grad_norm: 4.4446 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5516 loss: 1.5516 2022/08/21 03:03:28 - mmengine - INFO - Epoch(train) [245][800/940] lr: 2.1647e-03 eta: 1:07:22 time: 0.4021 data_time: 0.0170 memory: 8039 grad_norm: 4.5192 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3919 loss: 1.3919 2022/08/21 03:04:06 - mmengine - INFO - Epoch(train) [245][900/940] lr: 2.1647e-03 eta: 1:06:43 time: 0.3849 data_time: 0.0163 memory: 8039 grad_norm: 4.4600 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2328 loss: 1.2328 2022/08/21 03:04:21 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 03:04:21 - mmengine - INFO - Epoch(train) [245][940/940] lr: 2.1647e-03 eta: 1:06:28 time: 0.3700 data_time: 0.0150 memory: 8039 grad_norm: 4.5211 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.1954 loss: 1.1954 2022/08/21 03:04:41 - mmengine - INFO - Epoch(val) [245][78/78] acc/top1: 0.6879 acc/top5: 0.8817 acc/mean1: 0.6878 2022/08/21 03:04:41 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb/best_acc/top1_epoch_241.pth is removed 2022/08/21 03:04:44 - mmengine - INFO - The best checkpoint with 0.6879 acc/top1 at 246 epoch is saved to best_acc/top1_epoch_246.pth. 2022/08/21 03:05:23 - mmengine - INFO - Epoch(train) [246][100/940] lr: 1.8195e-03 eta: 1:05:49 time: 0.4052 data_time: 0.0183 memory: 8039 grad_norm: 4.4342 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4534 loss: 1.4534 2022/08/21 03:06:02 - mmengine - INFO - Epoch(train) [246][200/940] lr: 1.8195e-03 eta: 1:05:11 time: 0.4013 data_time: 0.0174 memory: 8039 grad_norm: 4.5052 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1071 loss: 1.1071 2022/08/21 03:06:41 - mmengine - INFO - Epoch(train) [246][300/940] lr: 1.8195e-03 eta: 1:04:32 time: 0.4373 data_time: 0.0171 memory: 8039 grad_norm: 4.3845 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2967 loss: 1.2967 2022/08/21 03:07:20 - mmengine - INFO - Epoch(train) [246][400/940] lr: 1.8195e-03 eta: 1:03:53 time: 0.3823 data_time: 0.0176 memory: 8039 grad_norm: 4.6431 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3536 loss: 1.3536 2022/08/21 03:08:00 - mmengine - INFO - Epoch(train) [246][500/940] lr: 1.8195e-03 eta: 1:03:15 time: 0.3793 data_time: 0.0178 memory: 8039 grad_norm: 4.4123 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3782 loss: 1.3782 2022/08/21 03:08:38 - mmengine - INFO - Epoch(train) [246][600/940] lr: 1.8195e-03 eta: 1:02:36 time: 0.4006 data_time: 0.0161 memory: 8039 grad_norm: 4.4785 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4650 loss: 1.4650 2022/08/21 03:09:17 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 03:09:17 - mmengine - INFO - Epoch(train) [246][700/940] lr: 1.8195e-03 eta: 1:01:58 time: 0.3969 data_time: 0.0172 memory: 8039 grad_norm: 4.5281 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4613 loss: 1.4613 2022/08/21 03:09:56 - mmengine - INFO - Epoch(train) [246][800/940] lr: 1.8195e-03 eta: 1:01:19 time: 0.3865 data_time: 0.0166 memory: 8039 grad_norm: 4.4605 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4036 loss: 1.4036 2022/08/21 03:10:35 - mmengine - INFO - Epoch(train) [246][900/940] lr: 1.8195e-03 eta: 1:00:41 time: 0.3874 data_time: 0.0165 memory: 8039 grad_norm: 4.5144 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4553 loss: 1.4553 2022/08/21 03:10:50 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 03:10:50 - mmengine - INFO - Epoch(train) [246][940/940] lr: 1.8195e-03 eta: 1:00:25 time: 0.3992 data_time: 0.0157 memory: 8039 grad_norm: 4.6152 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5711 loss: 1.5711 2022/08/21 03:11:32 - mmengine - INFO - Epoch(train) [247][100/940] lr: 1.5041e-03 eta: 0:59:47 time: 0.4036 data_time: 0.0152 memory: 8039 grad_norm: 4.4783 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0744 loss: 1.0744 2022/08/21 03:12:11 - mmengine - INFO - Epoch(train) [247][200/940] lr: 1.5041e-03 eta: 0:59:08 time: 0.3775 data_time: 0.0171 memory: 8039 grad_norm: 4.4812 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3284 loss: 1.3284 2022/08/21 03:12:49 - mmengine - INFO - Epoch(train) [247][300/940] lr: 1.5041e-03 eta: 0:58:30 time: 0.3754 data_time: 0.0175 memory: 8039 grad_norm: 4.4881 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3735 loss: 1.3735 2022/08/21 03:13:27 - mmengine - INFO - Epoch(train) [247][400/940] lr: 1.5041e-03 eta: 0:57:51 time: 0.4019 data_time: 0.0177 memory: 8039 grad_norm: 4.5309 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7080 loss: 1.7080 2022/08/21 03:14:06 - mmengine - INFO - Epoch(train) [247][500/940] lr: 1.5041e-03 eta: 0:57:12 time: 0.3716 data_time: 0.0159 memory: 8039 grad_norm: 4.5122 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3807 loss: 1.3807 2022/08/21 03:14:45 - mmengine - INFO - Epoch(train) [247][600/940] lr: 1.5041e-03 eta: 0:56:34 time: 0.3763 data_time: 0.0175 memory: 8039 grad_norm: 4.5149 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2589 loss: 1.2589 2022/08/21 03:15:23 - mmengine - INFO - Epoch(train) [247][700/940] lr: 1.5041e-03 eta: 0:55:55 time: 0.3937 data_time: 0.0177 memory: 8039 grad_norm: 4.5431 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3640 loss: 1.3640 2022/08/21 03:15:46 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 03:16:02 - mmengine - INFO - Epoch(train) [247][800/940] lr: 1.5041e-03 eta: 0:55:17 time: 0.4136 data_time: 0.0170 memory: 8039 grad_norm: 4.4795 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3213 loss: 1.3213 2022/08/21 03:16:41 - mmengine - INFO - Epoch(train) [247][900/940] lr: 1.5041e-03 eta: 0:54:38 time: 0.4218 data_time: 0.0181 memory: 8039 grad_norm: 4.4341 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4725 loss: 1.4725 2022/08/21 03:16:56 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 03:16:56 - mmengine - INFO - Epoch(train) [247][940/940] lr: 1.5041e-03 eta: 0:54:23 time: 0.3727 data_time: 0.0148 memory: 8039 grad_norm: 4.6588 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6364 loss: 1.6364 2022/08/21 03:17:38 - mmengine - INFO - Epoch(train) [248][100/940] lr: 1.2186e-03 eta: 0:53:44 time: 0.4000 data_time: 0.0175 memory: 8039 grad_norm: 4.5135 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3645 loss: 1.3645 2022/08/21 03:18:17 - mmengine - INFO - Epoch(train) [248][200/940] lr: 1.2186e-03 eta: 0:53:06 time: 0.3771 data_time: 0.0160 memory: 8039 grad_norm: 4.4131 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3890 loss: 1.3890 2022/08/21 03:18:55 - mmengine - INFO - Epoch(train) [248][300/940] lr: 1.2186e-03 eta: 0:52:27 time: 0.3700 data_time: 0.0174 memory: 8039 grad_norm: 4.5182 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0968 loss: 1.0968 2022/08/21 03:19:33 - mmengine - INFO - Epoch(train) [248][400/940] lr: 1.2186e-03 eta: 0:51:49 time: 0.4119 data_time: 0.0175 memory: 8039 grad_norm: 4.5121 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3015 loss: 1.3015 2022/08/21 03:20:11 - mmengine - INFO - Epoch(train) [248][500/940] lr: 1.2186e-03 eta: 0:51:10 time: 0.3931 data_time: 0.0175 memory: 8039 grad_norm: 4.5178 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2326 loss: 1.2326 2022/08/21 03:20:50 - mmengine - INFO - Epoch(train) [248][600/940] lr: 1.2186e-03 eta: 0:50:31 time: 0.4014 data_time: 0.0177 memory: 8039 grad_norm: 4.5882 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3891 loss: 1.3891 2022/08/21 03:21:29 - mmengine - INFO - Epoch(train) [248][700/940] lr: 1.2186e-03 eta: 0:49:53 time: 0.4296 data_time: 0.0169 memory: 8039 grad_norm: 4.4972 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0712 loss: 1.0712 2022/08/21 03:22:08 - mmengine - INFO - Epoch(train) [248][800/940] lr: 1.2186e-03 eta: 0:49:14 time: 0.3748 data_time: 0.0176 memory: 8039 grad_norm: 4.5782 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4320 loss: 1.4320 2022/08/21 03:22:16 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 03:22:46 - mmengine - INFO - Epoch(train) [248][900/940] lr: 1.2186e-03 eta: 0:48:36 time: 0.3690 data_time: 0.0166 memory: 8039 grad_norm: 4.4971 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4097 loss: 1.4097 2022/08/21 03:23:03 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 03:23:03 - mmengine - INFO - Epoch(train) [248][940/940] lr: 1.2186e-03 eta: 0:48:20 time: 0.3617 data_time: 0.0156 memory: 8039 grad_norm: 4.7051 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4426 loss: 1.4426 2022/08/21 03:23:03 - mmengine - INFO - Saving checkpoint at 248 epochs 2022/08/21 03:23:49 - mmengine - INFO - Epoch(train) [249][100/940] lr: 9.6305e-04 eta: 0:47:42 time: 0.3814 data_time: 0.0170 memory: 8039 grad_norm: 4.6159 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3506 loss: 1.3506 2022/08/21 03:24:27 - mmengine - INFO - Epoch(train) [249][200/940] lr: 9.6305e-04 eta: 0:47:03 time: 0.3691 data_time: 0.0178 memory: 8039 grad_norm: 4.4802 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3083 loss: 1.3083 2022/08/21 03:25:05 - mmengine - INFO - Epoch(train) [249][300/940] lr: 9.6305e-04 eta: 0:46:25 time: 0.3795 data_time: 0.0167 memory: 8039 grad_norm: 4.4922 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1319 loss: 1.1319 2022/08/21 03:25:44 - mmengine - INFO - Epoch(train) [249][400/940] lr: 9.6305e-04 eta: 0:45:46 time: 0.3679 data_time: 0.0161 memory: 8039 grad_norm: 4.5723 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3889 loss: 1.3889 2022/08/21 03:26:22 - mmengine - INFO - Epoch(train) [249][500/940] lr: 9.6305e-04 eta: 0:45:07 time: 0.3775 data_time: 0.0163 memory: 8039 grad_norm: 4.6096 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3757 loss: 1.3757 2022/08/21 03:27:00 - mmengine - INFO - Epoch(train) [249][600/940] lr: 9.6305e-04 eta: 0:44:29 time: 0.3695 data_time: 0.0157 memory: 8039 grad_norm: 4.6415 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3638 loss: 1.3638 2022/08/21 03:27:38 - mmengine - INFO - Epoch(train) [249][700/940] lr: 9.6305e-04 eta: 0:43:50 time: 0.3759 data_time: 0.0155 memory: 8039 grad_norm: 4.5524 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2817 loss: 1.2817 2022/08/21 03:28:16 - mmengine - INFO - Epoch(train) [249][800/940] lr: 9.6305e-04 eta: 0:43:12 time: 0.3715 data_time: 0.0176 memory: 8039 grad_norm: 4.5709 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2704 loss: 1.2704 2022/08/21 03:28:46 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 03:28:54 - mmengine - INFO - Epoch(train) [249][900/940] lr: 9.6305e-04 eta: 0:42:33 time: 0.3941 data_time: 0.0167 memory: 8039 grad_norm: 4.5284 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3294 loss: 1.3294 2022/08/21 03:29:09 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 03:29:09 - mmengine - INFO - Epoch(train) [249][940/940] lr: 9.6305e-04 eta: 0:42:18 time: 0.3873 data_time: 0.0168 memory: 8039 grad_norm: 4.6900 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3436 loss: 1.3436 2022/08/21 03:29:51 - mmengine - INFO - Epoch(train) [250][100/940] lr: 7.3748e-04 eta: 0:41:39 time: 0.4103 data_time: 0.0157 memory: 8039 grad_norm: 4.6826 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3339 loss: 1.3339 2022/08/21 03:30:30 - mmengine - INFO - Epoch(train) [250][200/940] lr: 7.3748e-04 eta: 0:41:01 time: 0.3972 data_time: 0.0155 memory: 8039 grad_norm: 4.6477 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.3734 loss: 1.3734 2022/08/21 03:31:08 - mmengine - INFO - Epoch(train) [250][300/940] lr: 7.3748e-04 eta: 0:40:22 time: 0.3808 data_time: 0.0161 memory: 8039 grad_norm: 4.5635 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1009 loss: 1.1009 2022/08/21 03:31:46 - mmengine - INFO - Epoch(train) [250][400/940] lr: 7.3748e-04 eta: 0:39:43 time: 0.3623 data_time: 0.0159 memory: 8039 grad_norm: 4.5935 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2689 loss: 1.2689 2022/08/21 03:32:24 - mmengine - INFO - Epoch(train) [250][500/940] lr: 7.3748e-04 eta: 0:39:05 time: 0.3769 data_time: 0.0174 memory: 8039 grad_norm: 4.5964 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3187 loss: 1.3187 2022/08/21 03:33:03 - mmengine - INFO - Epoch(train) [250][600/940] lr: 7.3748e-04 eta: 0:38:26 time: 0.3833 data_time: 0.0179 memory: 8039 grad_norm: 4.5570 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2181 loss: 1.2181 2022/08/21 03:33:41 - mmengine - INFO - Epoch(train) [250][700/940] lr: 7.3748e-04 eta: 0:37:48 time: 0.3777 data_time: 0.0176 memory: 8039 grad_norm: 4.6031 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1664 loss: 1.1664 2022/08/21 03:34:20 - mmengine - INFO - Epoch(train) [250][800/940] lr: 7.3748e-04 eta: 0:37:09 time: 0.3890 data_time: 0.0177 memory: 8039 grad_norm: 4.5534 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4563 loss: 1.4563 2022/08/21 03:34:59 - mmengine - INFO - Epoch(train) [250][900/940] lr: 7.3748e-04 eta: 0:36:30 time: 0.3851 data_time: 0.0160 memory: 8039 grad_norm: 4.6054 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6504 loss: 1.6504 2022/08/21 03:35:15 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 03:35:15 - mmengine - INFO - Epoch(train) [250][940/940] lr: 7.3748e-04 eta: 0:36:15 time: 0.3921 data_time: 0.0182 memory: 8039 grad_norm: 4.8337 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4062 loss: 1.4062 2022/08/21 03:35:34 - mmengine - INFO - Epoch(val) [250][78/78] acc/top1: 0.6897 acc/top5: 0.8831 acc/mean1: 0.6896 2022/08/21 03:35:35 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb/best_acc/top1_epoch_246.pth is removed 2022/08/21 03:35:37 - mmengine - INFO - The best checkpoint with 0.6897 acc/top1 at 251 epoch is saved to best_acc/top1_epoch_251.pth. 2022/08/21 03:36:17 - mmengine - INFO - Epoch(train) [251][100/940] lr: 5.4191e-04 eta: 0:35:36 time: 0.3706 data_time: 0.0168 memory: 8039 grad_norm: 4.4885 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2571 loss: 1.2571 2022/08/21 03:36:55 - mmengine - INFO - Epoch(train) [251][200/940] lr: 5.4191e-04 eta: 0:34:58 time: 0.3828 data_time: 0.0182 memory: 8039 grad_norm: 4.6207 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2786 loss: 1.2786 2022/08/21 03:37:34 - mmengine - INFO - Epoch(train) [251][300/940] lr: 5.4191e-04 eta: 0:34:19 time: 0.3712 data_time: 0.0156 memory: 8039 grad_norm: 4.5751 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4780 loss: 1.4780 2022/08/21 03:38:12 - mmengine - INFO - Epoch(train) [251][400/940] lr: 5.4191e-04 eta: 0:33:41 time: 0.3827 data_time: 0.0177 memory: 8039 grad_norm: 4.5892 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5909 loss: 1.5909 2022/08/21 03:38:51 - mmengine - INFO - Epoch(train) [251][500/940] lr: 5.4191e-04 eta: 0:33:02 time: 0.3724 data_time: 0.0157 memory: 8039 grad_norm: 4.5110 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6510 loss: 1.6510 2022/08/21 03:39:29 - mmengine - INFO - Epoch(train) [251][600/940] lr: 5.4191e-04 eta: 0:32:24 time: 0.3775 data_time: 0.0154 memory: 8039 grad_norm: 4.5697 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1557 loss: 1.1557 2022/08/21 03:40:07 - mmengine - INFO - Epoch(train) [251][700/940] lr: 5.4191e-04 eta: 0:31:45 time: 0.3817 data_time: 0.0162 memory: 8039 grad_norm: 4.6095 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5397 loss: 1.5397 2022/08/21 03:40:47 - mmengine - INFO - Epoch(train) [251][800/940] lr: 5.4191e-04 eta: 0:31:06 time: 0.4331 data_time: 0.0170 memory: 8039 grad_norm: 4.5518 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2919 loss: 1.2919 2022/08/21 03:41:26 - mmengine - INFO - Epoch(train) [251][900/940] lr: 5.4191e-04 eta: 0:30:28 time: 0.4111 data_time: 0.0170 memory: 8039 grad_norm: 4.5674 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2496 loss: 1.2496 2022/08/21 03:41:41 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 03:41:41 - mmengine - INFO - Epoch(train) [251][940/940] lr: 5.4191e-04 eta: 0:30:12 time: 0.4016 data_time: 0.0180 memory: 8039 grad_norm: 4.6977 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 1.2885 loss: 1.2885 2022/08/21 03:42:07 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 03:42:23 - mmengine - INFO - Epoch(train) [252][100/940] lr: 3.7638e-04 eta: 0:29:34 time: 0.4259 data_time: 0.0167 memory: 8039 grad_norm: 4.7298 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3496 loss: 1.3496 2022/08/21 03:43:01 - mmengine - INFO - Epoch(train) [252][200/940] lr: 3.7638e-04 eta: 0:28:55 time: 0.3848 data_time: 0.0176 memory: 8039 grad_norm: 4.5819 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1826 loss: 1.1826 2022/08/21 03:43:40 - mmengine - INFO - Epoch(train) [252][300/940] lr: 3.7638e-04 eta: 0:28:17 time: 0.3765 data_time: 0.0161 memory: 8039 grad_norm: 4.5383 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2210 loss: 1.2210 2022/08/21 03:44:21 - mmengine - INFO - Epoch(train) [252][400/940] lr: 3.7638e-04 eta: 0:27:38 time: 0.4404 data_time: 0.0177 memory: 8039 grad_norm: 4.5444 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4359 loss: 1.4359 2022/08/21 03:44:59 - mmengine - INFO - Epoch(train) [252][500/940] lr: 3.7638e-04 eta: 0:27:00 time: 0.3729 data_time: 0.0167 memory: 8039 grad_norm: 4.6301 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3192 loss: 1.3192 2022/08/21 03:45:37 - mmengine - INFO - Epoch(train) [252][600/940] lr: 3.7638e-04 eta: 0:26:21 time: 0.3677 data_time: 0.0178 memory: 8039 grad_norm: 4.6557 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4352 loss: 1.4352 2022/08/21 03:46:15 - mmengine - INFO - Epoch(train) [252][700/940] lr: 3.7638e-04 eta: 0:25:43 time: 0.3700 data_time: 0.0169 memory: 8039 grad_norm: 4.7311 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1417 loss: 1.1417 2022/08/21 03:46:54 - mmengine - INFO - Epoch(train) [252][800/940] lr: 3.7638e-04 eta: 0:25:04 time: 0.3681 data_time: 0.0178 memory: 8039 grad_norm: 4.6342 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2873 loss: 1.2873 2022/08/21 03:47:33 - mmengine - INFO - Epoch(train) [252][900/940] lr: 3.7638e-04 eta: 0:24:25 time: 0.3726 data_time: 0.0185 memory: 8039 grad_norm: 4.6032 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0402 loss: 1.0402 2022/08/21 03:47:48 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 03:47:48 - mmengine - INFO - Epoch(train) [252][940/940] lr: 3.7638e-04 eta: 0:24:10 time: 0.3597 data_time: 0.0148 memory: 8039 grad_norm: 4.8138 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4488 loss: 1.4488 2022/08/21 03:47:48 - mmengine - INFO - Saving checkpoint at 252 epochs 2022/08/21 03:48:33 - mmengine - INFO - Epoch(train) [253][100/940] lr: 2.4091e-04 eta: 0:23:31 time: 0.3816 data_time: 0.0176 memory: 8039 grad_norm: 4.6456 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1289 loss: 1.1289 2022/08/21 03:48:41 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 03:49:11 - mmengine - INFO - Epoch(train) [253][200/940] lr: 2.4091e-04 eta: 0:22:53 time: 0.3692 data_time: 0.0183 memory: 8039 grad_norm: 4.5587 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2142 loss: 1.2142 2022/08/21 03:49:50 - mmengine - INFO - Epoch(train) [253][300/940] lr: 2.4091e-04 eta: 0:22:14 time: 0.3742 data_time: 0.0166 memory: 8039 grad_norm: 4.5960 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2088 loss: 1.2088 2022/08/21 03:50:28 - mmengine - INFO - Epoch(train) [253][400/940] lr: 2.4091e-04 eta: 0:21:36 time: 0.3683 data_time: 0.0166 memory: 8039 grad_norm: 4.5675 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2117 loss: 1.2117 2022/08/21 03:51:07 - mmengine - INFO - Epoch(train) [253][500/940] lr: 2.4091e-04 eta: 0:20:57 time: 0.3947 data_time: 0.0166 memory: 8039 grad_norm: 4.6043 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4359 loss: 1.4359 2022/08/21 03:51:45 - mmengine - INFO - Epoch(train) [253][600/940] lr: 2.4091e-04 eta: 0:20:18 time: 0.3768 data_time: 0.0162 memory: 8039 grad_norm: 4.6253 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3755 loss: 1.3755 2022/08/21 03:52:23 - mmengine - INFO - Epoch(train) [253][700/940] lr: 2.4091e-04 eta: 0:19:40 time: 0.3805 data_time: 0.0163 memory: 8039 grad_norm: 4.5418 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3461 loss: 1.3461 2022/08/21 03:53:01 - mmengine - INFO - Epoch(train) [253][800/940] lr: 2.4091e-04 eta: 0:19:01 time: 0.3665 data_time: 0.0152 memory: 8039 grad_norm: 4.6758 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3380 loss: 1.3380 2022/08/21 03:53:40 - mmengine - INFO - Epoch(train) [253][900/940] lr: 2.4091e-04 eta: 0:18:23 time: 0.3708 data_time: 0.0160 memory: 8039 grad_norm: 4.5655 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0438 loss: 1.0438 2022/08/21 03:53:55 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 03:53:55 - mmengine - INFO - Epoch(train) [253][940/940] lr: 2.4091e-04 eta: 0:18:07 time: 0.3735 data_time: 0.0149 memory: 8039 grad_norm: 4.8056 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1449 loss: 1.1449 2022/08/21 03:54:35 - mmengine - INFO - Epoch(train) [254][100/940] lr: 1.3552e-04 eta: 0:17:29 time: 0.3927 data_time: 0.0175 memory: 8039 grad_norm: 4.7225 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3255 loss: 1.3255 2022/08/21 03:55:05 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 03:55:13 - mmengine - INFO - Epoch(train) [254][200/940] lr: 1.3552e-04 eta: 0:16:50 time: 0.3980 data_time: 0.0163 memory: 8039 grad_norm: 4.6040 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4690 loss: 1.4690 2022/08/21 03:55:51 - mmengine - INFO - Epoch(train) [254][300/940] lr: 1.3552e-04 eta: 0:16:12 time: 0.3818 data_time: 0.0165 memory: 8039 grad_norm: 4.4774 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2605 loss: 1.2605 2022/08/21 03:56:29 - mmengine - INFO - Epoch(train) [254][400/940] lr: 1.3552e-04 eta: 0:15:33 time: 0.3668 data_time: 0.0160 memory: 8039 grad_norm: 4.6861 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3035 loss: 1.3035 2022/08/21 03:57:07 - mmengine - INFO - Epoch(train) [254][500/940] lr: 1.3552e-04 eta: 0:14:54 time: 0.3678 data_time: 0.0157 memory: 8039 grad_norm: 4.6869 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.4954 loss: 1.4954 2022/08/21 03:57:45 - mmengine - INFO - Epoch(train) [254][600/940] lr: 1.3552e-04 eta: 0:14:16 time: 0.3676 data_time: 0.0177 memory: 8039 grad_norm: 4.7455 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2989 loss: 1.2989 2022/08/21 03:58:25 - mmengine - INFO - Epoch(train) [254][700/940] lr: 1.3552e-04 eta: 0:13:37 time: 0.4247 data_time: 0.0162 memory: 8039 grad_norm: 4.4808 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2808 loss: 1.2808 2022/08/21 03:59:03 - mmengine - INFO - Epoch(train) [254][800/940] lr: 1.3552e-04 eta: 0:12:59 time: 0.3799 data_time: 0.0168 memory: 8039 grad_norm: 4.6449 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2563 loss: 1.2563 2022/08/21 03:59:42 - mmengine - INFO - Epoch(train) [254][900/940] lr: 1.3552e-04 eta: 0:12:20 time: 0.3692 data_time: 0.0166 memory: 8039 grad_norm: 4.6042 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9889 loss: 0.9889 2022/08/21 03:59:57 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 03:59:57 - mmengine - INFO - Epoch(train) [254][940/940] lr: 1.3552e-04 eta: 0:12:05 time: 0.3820 data_time: 0.0161 memory: 8039 grad_norm: 4.7129 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4565 loss: 1.4565 2022/08/21 04:00:38 - mmengine - INFO - Epoch(train) [255][100/940] lr: 6.0236e-05 eta: 0:11:26 time: 0.4037 data_time: 0.0158 memory: 8039 grad_norm: 4.6882 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3522 loss: 1.3522 2022/08/21 04:01:17 - mmengine - INFO - Epoch(train) [255][200/940] lr: 6.0236e-05 eta: 0:10:48 time: 0.4088 data_time: 0.0161 memory: 8039 grad_norm: 4.5090 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3806 loss: 1.3806 2022/08/21 04:01:32 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 04:01:55 - mmengine - INFO - Epoch(train) [255][300/940] lr: 6.0236e-05 eta: 0:10:09 time: 0.3820 data_time: 0.0185 memory: 8039 grad_norm: 4.7176 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3572 loss: 1.3572 2022/08/21 04:02:35 - mmengine - INFO - Epoch(train) [255][400/940] lr: 6.0236e-05 eta: 0:09:30 time: 0.3729 data_time: 0.0184 memory: 8039 grad_norm: 4.5995 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2873 loss: 1.2873 2022/08/21 04:03:14 - mmengine - INFO - Epoch(train) [255][500/940] lr: 6.0236e-05 eta: 0:08:52 time: 0.4058 data_time: 0.0164 memory: 8039 grad_norm: 4.5545 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4996 loss: 1.4996 2022/08/21 04:03:52 - mmengine - INFO - Epoch(train) [255][600/940] lr: 6.0236e-05 eta: 0:08:13 time: 0.4049 data_time: 0.0171 memory: 8039 grad_norm: 4.5660 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5669 loss: 1.5669 2022/08/21 04:04:30 - mmengine - INFO - Epoch(train) [255][700/940] lr: 6.0236e-05 eta: 0:07:35 time: 0.3672 data_time: 0.0155 memory: 8039 grad_norm: 4.7102 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2684 loss: 1.2684 2022/08/21 04:05:08 - mmengine - INFO - Epoch(train) [255][800/940] lr: 6.0236e-05 eta: 0:06:56 time: 0.4038 data_time: 0.0170 memory: 8039 grad_norm: 4.6524 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2931 loss: 1.2931 2022/08/21 04:05:47 - mmengine - INFO - Epoch(train) [255][900/940] lr: 6.0236e-05 eta: 0:06:18 time: 0.3945 data_time: 0.0174 memory: 8039 grad_norm: 4.6207 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4494 loss: 1.4494 2022/08/21 04:06:02 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 04:06:02 - mmengine - INFO - Epoch(train) [255][940/940] lr: 6.0236e-05 eta: 0:06:02 time: 0.3805 data_time: 0.0154 memory: 8039 grad_norm: 4.8381 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4823 loss: 1.4823 2022/08/21 04:06:22 - mmengine - INFO - Epoch(val) [255][78/78] acc/top1: 0.6924 acc/top5: 0.8840 acc/mean1: 0.6923 2022/08/21 04:06:22 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb/best_acc/top1_epoch_251.pth is removed 2022/08/21 04:06:25 - mmengine - INFO - The best checkpoint with 0.6924 acc/top1 at 256 epoch is saved to best_acc/top1_epoch_256.pth. 2022/08/21 04:07:03 - mmengine - INFO - Epoch(train) [256][100/940] lr: 1.5060e-05 eta: 0:05:24 time: 0.3825 data_time: 0.0172 memory: 8039 grad_norm: 4.6696 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1384 loss: 1.1384 2022/08/21 04:07:43 - mmengine - INFO - Epoch(train) [256][200/940] lr: 1.5060e-05 eta: 0:04:45 time: 0.3992 data_time: 0.0175 memory: 8039 grad_norm: 4.6581 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1766 loss: 1.1766 2022/08/21 04:08:22 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 04:08:22 - mmengine - INFO - Epoch(train) [256][300/940] lr: 1.5060e-05 eta: 0:04:06 time: 0.3837 data_time: 0.0155 memory: 8039 grad_norm: 4.6485 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5640 loss: 1.5640 2022/08/21 04:08:59 - mmengine - INFO - Epoch(train) [256][400/940] lr: 1.5060e-05 eta: 0:03:28 time: 0.3805 data_time: 0.0164 memory: 8039 grad_norm: 4.5633 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2841 loss: 1.2841 2022/08/21 04:09:38 - mmengine - INFO - Epoch(train) [256][500/940] lr: 1.5060e-05 eta: 0:02:49 time: 0.4092 data_time: 0.0168 memory: 8039 grad_norm: 4.6290 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4364 loss: 1.4364 2022/08/21 04:10:17 - mmengine - INFO - Epoch(train) [256][600/940] lr: 1.5060e-05 eta: 0:02:11 time: 0.3991 data_time: 0.0165 memory: 8039 grad_norm: 4.7426 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3318 loss: 1.3318 2022/08/21 04:10:56 - mmengine - INFO - Epoch(train) [256][700/940] lr: 1.5060e-05 eta: 0:01:32 time: 0.4244 data_time: 0.0158 memory: 8039 grad_norm: 4.5854 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9561 loss: 0.9561 2022/08/21 04:11:35 - mmengine - INFO - Epoch(train) [256][800/940] lr: 1.5060e-05 eta: 0:00:54 time: 0.4309 data_time: 0.0168 memory: 8039 grad_norm: 4.7315 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2135 loss: 1.2135 2022/08/21 04:12:14 - mmengine - INFO - Epoch(train) [256][900/940] lr: 1.5060e-05 eta: 0:00:15 time: 0.4198 data_time: 0.0182 memory: 8039 grad_norm: 4.5826 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2657 loss: 1.2657 2022/08/21 04:12:29 - mmengine - INFO - Exp name: slowfast_r101_r50_4x16x1_256e_32xb8_kinetics400_rgb_20220820_015902 2022/08/21 04:12:29 - mmengine - INFO - Epoch(train) [256][940/940] lr: 1.5060e-05 eta: 0:00:00 time: 0.3772 data_time: 0.0150 memory: 8039 grad_norm: 4.8354 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1521 loss: 1.1521 2022/08/21 04:12:29 - mmengine - INFO - Saving checkpoint at 256 epochs