2022/06/27 16:58:56 - mmengine - INFO - load model from: torchvision://resnet50 2022/06/27 16:58:59 - mmengine - INFO - These parameters in the 2d checkpoint are not loaded: {'fc.weight', 'fc.bias'} 2022/06/27 16:59:01 - mmengine - INFO - Checkpoints will be saved to /mnt/lustre/hukai/action/work_dirs/i3d_r50_32x2x1_100e_kinetics400_rgb by HardDiskBackend. 2022/06/27 16:59:23 - mmengine - INFO - Epoch(train) [1][20/3757] lr: 1.000e-02 eta: 4 days, 19:42:00 time: 0.189 data_time: 0.006 memory: 42354 grad_norm: 5.3656 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 6.0682 loss: 6.0682 2022/06/27 16:59:27 - mmengine - INFO - Epoch(train) [1][40/3757] lr: 1.000e-02 eta: 2 days, 20:12:11 time: 0.192 data_time: 0.004 memory: 5149 grad_norm: 5.2098 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 6.0388 loss: 6.0388 2022/06/27 16:59:31 - mmengine - INFO - Epoch(train) [1][60/3757] lr: 1.000e-02 eta: 2 days, 4:28:35 time: 0.189 data_time: 0.010 memory: 5149 grad_norm: 5.0896 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.8664 loss: 5.8664 2022/06/27 16:59:36 - mmengine - INFO - Epoch(train) [1][80/3757] lr: 1.000e-02 eta: 1 day, 22:19:37 time: 0.199 data_time: 0.005 memory: 5149 grad_norm: 5.1852 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.5435 loss: 5.5435 2022/06/27 16:59:42 - mmengine - INFO - Epoch(train) [1][100/3757] lr: 1.000e-02 eta: 1 day, 19:06:36 time: 0.191 data_time: 0.005 memory: 5149 grad_norm: 5.2050 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.5138 loss: 5.5138 2022/06/27 16:59:47 - mmengine - INFO - Epoch(train) [1][120/3757] lr: 1.000e-02 eta: 1 day, 16:24:09 time: 0.187 data_time: 0.010 memory: 5149 grad_norm: 5.2296 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.7221 loss: 5.7221 2022/06/27 16:59:53 - mmengine - INFO - Epoch(train) [1][140/3757] lr: 1.000e-02 eta: 1 day, 14:45:33 time: 0.197 data_time: 0.009 memory: 5149 grad_norm: 5.5016 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.5033 loss: 5.5033 2022/06/27 16:59:59 - mmengine - INFO - Epoch(train) [1][160/3757] lr: 1.000e-02 eta: 1 day, 13:41:29 time: 0.310 data_time: 0.007 memory: 5149 grad_norm: 5.5430 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 5.1862 loss: 5.1862 2022/06/27 17:00:03 - mmengine - INFO - Epoch(train) [1][180/3757] lr: 1.000e-02 eta: 1 day, 12:13:21 time: 0.197 data_time: 0.006 memory: 5149 grad_norm: 5.6986 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.3603 loss: 5.3603 2022/06/27 17:00:09 - mmengine - INFO - Epoch(train) [1][200/3757] lr: 1.000e-02 eta: 1 day, 11:40:35 time: 0.197 data_time: 0.010 memory: 5149 grad_norm: 5.9730 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 5.1618 loss: 5.1618 2022/06/27 17:00:15 - mmengine - INFO - Epoch(train) [1][220/3757] lr: 1.000e-02 eta: 1 day, 10:58:12 time: 0.194 data_time: 0.006 memory: 5149 grad_norm: 6.1910 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.8033 loss: 4.8033 2022/06/27 17:00:21 - mmengine - INFO - Epoch(train) [1][240/3757] lr: 1.000e-02 eta: 1 day, 10:36:48 time: 0.193 data_time: 0.006 memory: 5149 grad_norm: 5.9334 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.9882 loss: 4.9882 2022/06/27 17:00:26 - mmengine - INFO - Epoch(train) [1][260/3757] lr: 1.000e-02 eta: 1 day, 9:59:10 time: 0.193 data_time: 0.007 memory: 5149 grad_norm: 6.5902 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.8927 loss: 4.8927 2022/06/27 17:00:31 - mmengine - INFO - Epoch(train) [1][280/3757] lr: 1.000e-02 eta: 1 day, 9:22:24 time: 0.194 data_time: 0.007 memory: 5149 grad_norm: 6.6003 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.7005 loss: 4.7005 2022/06/27 17:00:36 - mmengine - INFO - Epoch(train) [1][300/3757] lr: 1.000e-02 eta: 1 day, 8:56:31 time: 0.198 data_time: 0.006 memory: 5149 grad_norm: 6.2442 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.0052 loss: 5.0052 2022/06/27 17:00:41 - mmengine - INFO - Epoch(train) [1][320/3757] lr: 1.000e-02 eta: 1 day, 8:39:46 time: 0.190 data_time: 0.007 memory: 5149 grad_norm: 6.7205 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.8396 loss: 4.8396 2022/06/27 17:00:47 - mmengine - INFO - Epoch(train) [1][340/3757] lr: 1.000e-02 eta: 1 day, 8:22:27 time: 0.194 data_time: 0.007 memory: 5149 grad_norm: 6.3518 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.9415 loss: 4.9415 2022/06/27 17:00:52 - mmengine - INFO - Epoch(train) [1][360/3757] lr: 1.000e-02 eta: 1 day, 8:01:47 time: 0.188 data_time: 0.009 memory: 5149 grad_norm: 6.3408 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.5728 loss: 4.5728 2022/06/27 17:00:57 - mmengine - INFO - Epoch(train) [1][380/3757] lr: 1.000e-02 eta: 1 day, 7:57:11 time: 0.196 data_time: 0.006 memory: 5149 grad_norm: 6.6451 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.8027 loss: 4.8027 2022/06/27 17:01:02 - mmengine - INFO - Epoch(train) [1][400/3757] lr: 1.000e-02 eta: 1 day, 7:35:04 time: 0.189 data_time: 0.006 memory: 5149 grad_norm: 6.1790 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.7777 loss: 4.7777 2022/06/27 17:01:08 - mmengine - INFO - Epoch(train) [1][420/3757] lr: 1.000e-02 eta: 1 day, 7:32:09 time: 0.196 data_time: 0.008 memory: 5149 grad_norm: 6.2673 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.7648 loss: 4.7648 2022/06/27 17:01:13 - mmengine - INFO - Epoch(train) [1][440/3757] lr: 1.000e-02 eta: 1 day, 7:20:44 time: 0.197 data_time: 0.006 memory: 5149 grad_norm: 6.4475 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.8142 loss: 4.8142 2022/06/27 17:01:18 - mmengine - INFO - Epoch(train) [1][460/3757] lr: 1.000e-02 eta: 1 day, 7:07:20 time: 0.189 data_time: 0.006 memory: 5149 grad_norm: 6.2867 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.4624 loss: 4.4624 2022/06/27 17:01:24 - mmengine - INFO - Epoch(train) [1][480/3757] lr: 1.000e-02 eta: 1 day, 6:57:35 time: 0.195 data_time: 0.006 memory: 5149 grad_norm: 6.5752 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.5285 loss: 4.5285 2022/06/27 17:01:29 - mmengine - INFO - Epoch(train) [1][500/3757] lr: 1.000e-02 eta: 1 day, 6:47:12 time: 0.195 data_time: 0.011 memory: 5149 grad_norm: 6.4231 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 4.6266 loss: 4.6266 2022/06/27 17:01:34 - mmengine - INFO - Epoch(train) [1][520/3757] lr: 1.000e-02 eta: 1 day, 6:34:33 time: 0.197 data_time: 0.006 memory: 5149 grad_norm: 6.6154 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.2559 loss: 4.2559 2022/06/27 17:01:39 - mmengine - INFO - Epoch(train) [1][540/3757] lr: 1.000e-02 eta: 1 day, 6:33:37 time: 0.259 data_time: 0.006 memory: 5149 grad_norm: 6.4440 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.6376 loss: 4.6376 2022/06/27 17:01:45 - mmengine - INFO - Epoch(train) [1][560/3757] lr: 1.000e-02 eta: 1 day, 6:30:21 time: 0.212 data_time: 0.006 memory: 5149 grad_norm: 6.5256 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.6616 loss: 4.6616 2022/06/27 17:01:50 - mmengine - INFO - Epoch(train) [1][580/3757] lr: 1.000e-02 eta: 1 day, 6:17:55 time: 0.191 data_time: 0.006 memory: 5149 grad_norm: 6.6024 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.4752 loss: 4.4752 2022/06/27 17:01:55 - mmengine - INFO - Epoch(train) [1][600/3757] lr: 1.000e-02 eta: 1 day, 6:15:14 time: 0.197 data_time: 0.005 memory: 5149 grad_norm: 6.4356 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.5973 loss: 4.5973 2022/06/27 17:02:00 - mmengine - INFO - Epoch(train) [1][620/3757] lr: 1.000e-02 eta: 1 day, 6:08:39 time: 0.198 data_time: 0.005 memory: 5149 grad_norm: 6.0042 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.5745 loss: 4.5745 2022/06/27 17:02:05 - mmengine - INFO - Epoch(train) [1][640/3757] lr: 1.000e-02 eta: 1 day, 6:01:53 time: 0.192 data_time: 0.006 memory: 5149 grad_norm: 7.1432 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.6463 loss: 4.6463 2022/06/27 17:02:11 - mmengine - INFO - Epoch(train) [1][660/3757] lr: 1.000e-02 eta: 1 day, 6:01:26 time: 0.187 data_time: 0.007 memory: 5149 grad_norm: 6.2874 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.0469 loss: 4.0469 2022/06/27 17:02:16 - mmengine - INFO - Epoch(train) [1][680/3757] lr: 1.000e-02 eta: 1 day, 5:49:48 time: 0.212 data_time: 0.006 memory: 5149 grad_norm: 7.1423 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.2562 loss: 4.2562 2022/06/27 17:02:21 - mmengine - INFO - Epoch(train) [1][700/3757] lr: 1.000e-02 eta: 1 day, 5:49:19 time: 0.199 data_time: 0.007 memory: 5149 grad_norm: 6.2355 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.3451 loss: 4.3451 2022/06/27 17:02:27 - mmengine - INFO - Epoch(train) [1][720/3757] lr: 1.000e-02 eta: 1 day, 5:50:53 time: 0.189 data_time: 0.006 memory: 5149 grad_norm: 7.1231 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.5332 loss: 4.5332 2022/06/27 17:02:32 - mmengine - INFO - Epoch(train) [1][740/3757] lr: 1.000e-02 eta: 1 day, 5:41:02 time: 0.203 data_time: 0.006 memory: 5149 grad_norm: 6.4868 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.1115 loss: 4.1115 2022/06/27 17:02:37 - mmengine - INFO - Epoch(train) [1][760/3757] lr: 1.000e-02 eta: 1 day, 5:35:39 time: 0.210 data_time: 0.006 memory: 5149 grad_norm: 6.5565 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.7958 loss: 4.7958 2022/06/27 17:02:42 - mmengine - INFO - Epoch(train) [1][780/3757] lr: 1.000e-02 eta: 1 day, 5:34:26 time: 0.187 data_time: 0.006 memory: 5149 grad_norm: 6.4321 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.3523 loss: 4.3523 2022/06/27 17:02:47 - mmengine - INFO - Epoch(train) [1][800/3757] lr: 1.000e-02 eta: 1 day, 5:25:03 time: 0.196 data_time: 0.006 memory: 5149 grad_norm: 6.5494 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.1371 loss: 4.1371 2022/06/27 17:02:52 - mmengine - INFO - Epoch(train) [1][820/3757] lr: 1.000e-02 eta: 1 day, 5:24:06 time: 0.197 data_time: 0.006 memory: 5149 grad_norm: 6.5925 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.4779 loss: 4.4779 2022/06/27 17:02:58 - mmengine - INFO - Epoch(train) [1][840/3757] lr: 1.000e-02 eta: 1 day, 5:24:59 time: 0.223 data_time: 0.005 memory: 5149 grad_norm: 6.3157 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.4819 loss: 4.4819 2022/06/27 17:03:03 - mmengine - INFO - Epoch(train) [1][860/3757] lr: 1.000e-02 eta: 1 day, 5:16:55 time: 0.207 data_time: 0.012 memory: 5149 grad_norm: 6.5294 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.2293 loss: 4.2293 2022/06/27 17:03:09 - mmengine - INFO - Epoch(train) [1][880/3757] lr: 1.000e-02 eta: 1 day, 5:17:51 time: 0.222 data_time: 0.005 memory: 5149 grad_norm: 6.8566 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 4.0550 loss: 4.0550 2022/06/27 17:03:14 - mmengine - INFO - Epoch(train) [1][900/3757] lr: 1.000e-02 eta: 1 day, 5:17:05 time: 0.203 data_time: 0.006 memory: 5149 grad_norm: 6.3179 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.2127 loss: 4.2127 2022/06/27 17:03:19 - mmengine - INFO - Epoch(train) [1][920/3757] lr: 1.000e-02 eta: 1 day, 5:12:24 time: 0.307 data_time: 0.006 memory: 5149 grad_norm: 6.4141 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.5570 loss: 4.5570 2022/06/27 17:03:24 - mmengine - INFO - Epoch(train) [1][940/3757] lr: 1.000e-02 eta: 1 day, 5:08:26 time: 0.200 data_time: 0.005 memory: 5149 grad_norm: 6.0891 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.5018 loss: 4.5018 2022/06/27 17:03:30 - mmengine - INFO - Epoch(train) [1][960/3757] lr: 1.000e-02 eta: 1 day, 5:07:42 time: 0.188 data_time: 0.006 memory: 5149 grad_norm: 6.0921 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.3156 loss: 4.3156 2022/06/27 17:03:35 - mmengine - INFO - Epoch(train) [1][980/3757] lr: 1.000e-02 eta: 1 day, 5:04:14 time: 0.194 data_time: 0.006 memory: 5149 grad_norm: 6.7548 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.9730 loss: 3.9730 2022/06/27 17:03:40 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 17:03:40 - mmengine - INFO - Epoch(train) [1][1000/3757] lr: 1.000e-02 eta: 1 day, 5:04:08 time: 0.194 data_time: 0.009 memory: 5149 grad_norm: 6.6587 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.3292 loss: 4.3292 2022/06/27 17:03:45 - mmengine - INFO - Epoch(train) [1][1020/3757] lr: 1.000e-02 eta: 1 day, 4:59:49 time: 0.196 data_time: 0.006 memory: 5149 grad_norm: 6.2869 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.3496 loss: 4.3496 2022/06/27 17:03:50 - mmengine - INFO - Epoch(train) [1][1040/3757] lr: 1.000e-02 eta: 1 day, 4:55:17 time: 0.205 data_time: 0.012 memory: 5149 grad_norm: 6.1316 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.9761 loss: 3.9761 2022/06/27 17:03:55 - mmengine - INFO - Epoch(train) [1][1060/3757] lr: 1.000e-02 eta: 1 day, 4:54:58 time: 0.194 data_time: 0.006 memory: 5149 grad_norm: 6.6189 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.5266 loss: 4.5266 2022/06/27 17:04:01 - mmengine - INFO - Epoch(train) [1][1080/3757] lr: 1.000e-02 eta: 1 day, 4:53:52 time: 0.204 data_time: 0.014 memory: 5149 grad_norm: 6.6075 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.1531 loss: 4.1531 2022/06/27 17:04:06 - mmengine - INFO - Epoch(train) [1][1100/3757] lr: 1.000e-02 eta: 1 day, 4:49:15 time: 0.200 data_time: 0.011 memory: 5149 grad_norm: 6.9142 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.9731 loss: 3.9731 2022/06/27 17:04:11 - mmengine - INFO - Epoch(train) [1][1120/3757] lr: 1.000e-02 eta: 1 day, 4:47:40 time: 0.206 data_time: 0.015 memory: 5149 grad_norm: 6.4257 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.8577 loss: 3.8577 2022/06/27 17:04:17 - mmengine - INFO - Epoch(train) [1][1140/3757] lr: 1.000e-02 eta: 1 day, 4:49:57 time: 0.201 data_time: 0.006 memory: 5149 grad_norm: 6.6516 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.4617 loss: 4.4617 2022/06/27 17:04:22 - mmengine - INFO - Epoch(train) [1][1160/3757] lr: 1.000e-02 eta: 1 day, 4:48:47 time: 0.191 data_time: 0.007 memory: 5149 grad_norm: 6.3542 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.8565 loss: 3.8565 2022/06/27 17:04:27 - mmengine - INFO - Epoch(train) [1][1180/3757] lr: 1.000e-02 eta: 1 day, 4:45:36 time: 0.197 data_time: 0.017 memory: 5149 grad_norm: 6.6027 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.0467 loss: 4.0467 2022/06/27 17:04:32 - mmengine - INFO - Epoch(train) [1][1200/3757] lr: 1.000e-02 eta: 1 day, 4:43:18 time: 0.192 data_time: 0.006 memory: 5149 grad_norm: 6.4273 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 4.3606 loss: 4.3606 2022/06/27 17:04:37 - mmengine - INFO - Epoch(train) [1][1220/3757] lr: 1.000e-02 eta: 1 day, 4:40:29 time: 0.209 data_time: 0.013 memory: 5149 grad_norm: 6.4867 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.0230 loss: 4.0230 2022/06/27 17:04:43 - mmengine - INFO - Epoch(train) [1][1240/3757] lr: 1.000e-02 eta: 1 day, 4:40:28 time: 0.201 data_time: 0.009 memory: 5149 grad_norm: 6.7445 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.1470 loss: 4.1470 2022/06/27 17:04:48 - mmengine - INFO - Epoch(train) [1][1260/3757] lr: 1.000e-02 eta: 1 day, 4:39:16 time: 0.193 data_time: 0.006 memory: 5149 grad_norm: 6.2091 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 4.1489 loss: 4.1489 2022/06/27 17:04:53 - mmengine - INFO - Epoch(train) [1][1280/3757] lr: 1.000e-02 eta: 1 day, 4:37:28 time: 0.203 data_time: 0.007 memory: 5149 grad_norm: 6.3934 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 4.2042 loss: 4.2042 2022/06/27 17:04:58 - mmengine - INFO - Epoch(train) [1][1300/3757] lr: 1.000e-02 eta: 1 day, 4:35:21 time: 0.191 data_time: 0.006 memory: 5149 grad_norm: 6.5358 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.8244 loss: 3.8244 2022/06/27 17:05:04 - mmengine - INFO - Epoch(train) [1][1320/3757] lr: 1.000e-02 eta: 1 day, 4:37:03 time: 0.202 data_time: 0.006 memory: 5149 grad_norm: 6.9508 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 4.2760 loss: 4.2760 2022/06/27 17:05:09 - mmengine - INFO - Epoch(train) [1][1340/3757] lr: 1.000e-02 eta: 1 day, 4:33:11 time: 0.205 data_time: 0.009 memory: 5149 grad_norm: 6.5655 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.2186 loss: 4.2186 2022/06/27 17:05:14 - mmengine - INFO - Epoch(train) [1][1360/3757] lr: 1.000e-02 eta: 1 day, 4:33:12 time: 0.195 data_time: 0.007 memory: 5149 grad_norm: 6.4443 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.0240 loss: 4.0240 2022/06/27 17:05:21 - mmengine - INFO - Epoch(train) [1][1380/3757] lr: 1.000e-02 eta: 1 day, 4:36:40 time: 0.210 data_time: 0.006 memory: 5149 grad_norm: 6.6719 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.1411 loss: 4.1411 2022/06/27 17:05:25 - mmengine - INFO - Epoch(train) [1][1400/3757] lr: 1.000e-02 eta: 1 day, 4:30:44 time: 0.196 data_time: 0.006 memory: 5149 grad_norm: 6.5467 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.9228 loss: 3.9228 2022/06/27 17:05:31 - mmengine - INFO - Epoch(train) [1][1420/3757] lr: 1.000e-02 eta: 1 day, 4:31:37 time: 0.207 data_time: 0.007 memory: 5149 grad_norm: 6.4829 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.9771 loss: 3.9771 2022/06/27 17:05:36 - mmengine - INFO - Epoch(train) [1][1440/3757] lr: 1.000e-02 eta: 1 day, 4:31:05 time: 0.729 data_time: 0.006 memory: 5149 grad_norm: 6.5831 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.7080 loss: 3.7080 2022/06/27 17:05:41 - mmengine - INFO - Epoch(train) [1][1460/3757] lr: 1.000e-02 eta: 1 day, 4:28:12 time: 0.198 data_time: 0.005 memory: 5149 grad_norm: 6.5653 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.8105 loss: 3.8105 2022/06/27 17:05:46 - mmengine - INFO - Epoch(train) [1][1480/3757] lr: 1.000e-02 eta: 1 day, 4:25:07 time: 0.213 data_time: 0.007 memory: 5149 grad_norm: 6.7779 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.9364 loss: 3.9364 2022/06/27 17:05:51 - mmengine - INFO - Epoch(train) [1][1500/3757] lr: 1.000e-02 eta: 1 day, 4:25:51 time: 0.203 data_time: 0.006 memory: 5149 grad_norm: 6.4034 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.2411 loss: 4.2411 2022/06/27 17:05:57 - mmengine - INFO - Epoch(train) [1][1520/3757] lr: 1.000e-02 eta: 1 day, 4:27:23 time: 0.213 data_time: 0.006 memory: 5149 grad_norm: 6.7955 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.1340 loss: 4.1340 2022/06/27 17:06:03 - mmengine - INFO - Epoch(train) [1][1540/3757] lr: 1.000e-02 eta: 1 day, 4:27:37 time: 0.212 data_time: 0.005 memory: 5149 grad_norm: 6.6726 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.2863 loss: 4.2863 2022/06/27 17:06:08 - mmengine - INFO - Epoch(train) [1][1560/3757] lr: 1.000e-02 eta: 1 day, 4:25:16 time: 0.192 data_time: 0.007 memory: 5149 grad_norm: 6.9788 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.9870 loss: 3.9870 2022/06/27 17:06:13 - mmengine - INFO - Epoch(train) [1][1580/3757] lr: 1.000e-02 eta: 1 day, 4:24:25 time: 0.194 data_time: 0.007 memory: 5149 grad_norm: 6.4883 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.1388 loss: 4.1388 2022/06/27 17:06:19 - mmengine - INFO - Epoch(train) [1][1600/3757] lr: 1.000e-02 eta: 1 day, 4:25:02 time: 0.993 data_time: 0.006 memory: 5149 grad_norm: 6.3243 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.0907 loss: 4.0907 2022/06/27 17:06:23 - mmengine - INFO - Epoch(train) [1][1620/3757] lr: 1.000e-02 eta: 1 day, 4:23:01 time: 0.208 data_time: 0.006 memory: 5149 grad_norm: 6.6900 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.8714 loss: 3.8714 2022/06/27 17:06:29 - mmengine - INFO - Epoch(train) [1][1640/3757] lr: 1.000e-02 eta: 1 day, 4:24:21 time: 0.195 data_time: 0.006 memory: 5149 grad_norm: 6.7845 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.8146 loss: 3.8146 2022/06/27 17:06:34 - mmengine - INFO - Epoch(train) [1][1660/3757] lr: 1.000e-02 eta: 1 day, 4:22:53 time: 1.081 data_time: 0.007 memory: 5149 grad_norm: 6.4662 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3707 loss: 3.3707 2022/06/27 17:06:39 - mmengine - INFO - Epoch(train) [1][1680/3757] lr: 1.000e-02 eta: 1 day, 4:20:48 time: 0.327 data_time: 0.007 memory: 5149 grad_norm: 6.6007 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.0331 loss: 4.0331 2022/06/27 17:06:45 - mmengine - INFO - Epoch(train) [1][1700/3757] lr: 1.000e-02 eta: 1 day, 4:20:24 time: 0.200 data_time: 0.006 memory: 5149 grad_norm: 6.0942 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.9734 loss: 3.9734 2022/06/27 17:06:50 - mmengine - INFO - Epoch(train) [1][1720/3757] lr: 1.000e-02 eta: 1 day, 4:19:53 time: 0.215 data_time: 0.006 memory: 5149 grad_norm: 6.4856 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.8476 loss: 3.8476 2022/06/27 17:06:54 - mmengine - INFO - Epoch(train) [1][1740/3757] lr: 1.000e-02 eta: 1 day, 4:15:30 time: 0.201 data_time: 0.006 memory: 5149 grad_norm: 6.9232 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.2263 loss: 4.2263 2022/06/27 17:07:01 - mmengine - INFO - Epoch(train) [1][1760/3757] lr: 1.000e-02 eta: 1 day, 4:19:44 time: 0.199 data_time: 0.007 memory: 5149 grad_norm: 6.3590 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.0784 loss: 4.0784 2022/06/27 17:07:05 - mmengine - INFO - Epoch(train) [1][1780/3757] lr: 1.000e-02 eta: 1 day, 4:14:50 time: 0.200 data_time: 0.011 memory: 5149 grad_norm: 6.8194 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.8346 loss: 3.8346 2022/06/27 17:07:10 - mmengine - INFO - Epoch(train) [1][1800/3757] lr: 1.000e-02 eta: 1 day, 4:13:04 time: 0.196 data_time: 0.006 memory: 5149 grad_norm: 6.7579 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.8821 loss: 3.8821 2022/06/27 17:07:16 - mmengine - INFO - Epoch(train) [1][1820/3757] lr: 1.000e-02 eta: 1 day, 4:13:13 time: 0.196 data_time: 0.006 memory: 5149 grad_norm: 6.9274 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.9649 loss: 3.9649 2022/06/27 17:07:21 - mmengine - INFO - Epoch(train) [1][1840/3757] lr: 1.000e-02 eta: 1 day, 4:13:33 time: 0.363 data_time: 0.006 memory: 5149 grad_norm: 6.3908 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.7353 loss: 3.7353 2022/06/27 17:07:26 - mmengine - INFO - Epoch(train) [1][1860/3757] lr: 1.000e-02 eta: 1 day, 4:11:54 time: 0.205 data_time: 0.006 memory: 5149 grad_norm: 6.4259 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.0746 loss: 4.0746 2022/06/27 17:07:32 - mmengine - INFO - Epoch(train) [1][1880/3757] lr: 1.000e-02 eta: 1 day, 4:12:31 time: 0.190 data_time: 0.006 memory: 5149 grad_norm: 6.2428 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.3435 loss: 4.3435 2022/06/27 17:07:37 - mmengine - INFO - Epoch(train) [1][1900/3757] lr: 1.000e-02 eta: 1 day, 4:12:40 time: 0.873 data_time: 0.006 memory: 5149 grad_norm: 6.4029 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.6983 loss: 3.6983 2022/06/27 17:07:42 - mmengine - INFO - Epoch(train) [1][1920/3757] lr: 1.000e-02 eta: 1 day, 4:10:39 time: 0.210 data_time: 0.006 memory: 5149 grad_norm: 6.4339 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.8005 loss: 3.8005 2022/06/27 17:07:48 - mmengine - INFO - Epoch(train) [1][1940/3757] lr: 1.000e-02 eta: 1 day, 4:12:06 time: 0.198 data_time: 0.009 memory: 5149 grad_norm: 6.1507 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.5018 loss: 3.5018 2022/06/27 17:07:54 - mmengine - INFO - Epoch(train) [1][1960/3757] lr: 1.000e-02 eta: 1 day, 4:13:57 time: 1.171 data_time: 0.007 memory: 5149 grad_norm: 6.5087 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.9833 loss: 3.9833 2022/06/27 17:07:59 - mmengine - INFO - Epoch(train) [1][1980/3757] lr: 1.000e-02 eta: 1 day, 4:10:57 time: 0.191 data_time: 0.007 memory: 5149 grad_norm: 6.4466 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.5401 loss: 3.5401 2022/06/27 17:08:04 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 17:08:04 - mmengine - INFO - Epoch(train) [1][2000/3757] lr: 1.000e-02 eta: 1 day, 4:11:50 time: 0.194 data_time: 0.007 memory: 5149 grad_norm: 6.5631 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.8457 loss: 3.8457 2022/06/27 17:08:10 - mmengine - INFO - Epoch(train) [1][2020/3757] lr: 1.000e-02 eta: 1 day, 4:11:11 time: 1.013 data_time: 0.005 memory: 5149 grad_norm: 6.3581 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4051 loss: 3.4051 2022/06/27 17:08:14 - mmengine - INFO - Epoch(train) [1][2040/3757] lr: 1.000e-02 eta: 1 day, 4:08:55 time: 0.194 data_time: 0.007 memory: 5149 grad_norm: 6.4763 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.7586 loss: 3.7586 2022/06/27 17:08:21 - mmengine - INFO - Epoch(train) [1][2060/3757] lr: 1.000e-02 eta: 1 day, 4:12:47 time: 0.193 data_time: 0.007 memory: 5149 grad_norm: 5.8576 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.6325 loss: 3.6325 2022/06/27 17:08:25 - mmengine - INFO - Epoch(train) [1][2080/3757] lr: 1.000e-02 eta: 1 day, 4:08:59 time: 0.354 data_time: 0.006 memory: 5149 grad_norm: 5.8803 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.0930 loss: 4.0930 2022/06/27 17:08:30 - mmengine - INFO - Epoch(train) [1][2100/3757] lr: 1.000e-02 eta: 1 day, 4:07:05 time: 0.203 data_time: 0.006 memory: 5149 grad_norm: 6.4544 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.7726 loss: 3.7726 2022/06/27 17:08:36 - mmengine - INFO - Epoch(train) [1][2120/3757] lr: 1.000e-02 eta: 1 day, 4:08:05 time: 0.200 data_time: 0.006 memory: 5149 grad_norm: 6.5973 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.7434 loss: 3.7434 2022/06/27 17:08:41 - mmengine - INFO - Epoch(train) [1][2140/3757] lr: 1.000e-02 eta: 1 day, 4:08:39 time: 0.359 data_time: 0.015 memory: 5149 grad_norm: 6.6957 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2709 loss: 3.2709 2022/06/27 17:08:46 - mmengine - INFO - Epoch(train) [1][2160/3757] lr: 1.000e-02 eta: 1 day, 4:05:56 time: 0.197 data_time: 0.009 memory: 5149 grad_norm: 5.8727 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.6448 loss: 3.6448 2022/06/27 17:08:52 - mmengine - INFO - Epoch(train) [1][2180/3757] lr: 1.000e-02 eta: 1 day, 4:06:34 time: 0.200 data_time: 0.006 memory: 5149 grad_norm: 6.6991 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.5547 loss: 3.5547 2022/06/27 17:08:57 - mmengine - INFO - Epoch(train) [1][2200/3757] lr: 1.000e-02 eta: 1 day, 4:07:43 time: 1.117 data_time: 0.009 memory: 5149 grad_norm: 6.2314 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.4981 loss: 3.4981 2022/06/27 17:09:02 - mmengine - INFO - Epoch(train) [1][2220/3757] lr: 1.000e-02 eta: 1 day, 4:05:08 time: 0.197 data_time: 0.011 memory: 5149 grad_norm: 6.3004 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.6082 loss: 3.6082 2022/06/27 17:09:07 - mmengine - INFO - Epoch(train) [1][2240/3757] lr: 1.000e-02 eta: 1 day, 4:04:07 time: 0.203 data_time: 0.006 memory: 5149 grad_norm: 6.3020 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2796 loss: 3.2796 2022/06/27 17:09:13 - mmengine - INFO - Epoch(train) [1][2260/3757] lr: 1.000e-02 eta: 1 day, 4:04:22 time: 0.678 data_time: 0.015 memory: 5149 grad_norm: 6.6292 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4510 loss: 3.4510 2022/06/27 17:09:17 - mmengine - INFO - Epoch(train) [1][2280/3757] lr: 1.000e-02 eta: 1 day, 4:01:27 time: 0.196 data_time: 0.006 memory: 5149 grad_norm: 6.1609 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7604 loss: 3.7604 2022/06/27 17:09:23 - mmengine - INFO - Epoch(train) [1][2300/3757] lr: 1.000e-02 eta: 1 day, 4:02:12 time: 0.194 data_time: 0.007 memory: 5149 grad_norm: 6.6830 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.5079 loss: 3.5079 2022/06/27 17:09:28 - mmengine - INFO - Epoch(train) [1][2320/3757] lr: 1.000e-02 eta: 1 day, 4:01:44 time: 0.203 data_time: 0.021 memory: 5149 grad_norm: 7.0557 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3296 loss: 3.3296 2022/06/27 17:09:33 - mmengine - INFO - Epoch(train) [1][2340/3757] lr: 1.000e-02 eta: 1 day, 4:00:10 time: 0.242 data_time: 0.009 memory: 5149 grad_norm: 6.6235 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3519 loss: 3.3519 2022/06/27 17:09:38 - mmengine - INFO - Epoch(train) [1][2360/3757] lr: 1.000e-02 eta: 1 day, 3:59:39 time: 0.197 data_time: 0.006 memory: 5149 grad_norm: 6.3166 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.8615 loss: 3.8615 2022/06/27 17:09:44 - mmengine - INFO - Epoch(train) [1][2380/3757] lr: 1.000e-02 eta: 1 day, 4:00:24 time: 0.195 data_time: 0.023 memory: 5149 grad_norm: 6.2954 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4823 loss: 3.4823 2022/06/27 17:09:49 - mmengine - INFO - Epoch(train) [1][2400/3757] lr: 1.000e-02 eta: 1 day, 3:59:27 time: 0.208 data_time: 0.006 memory: 5149 grad_norm: 6.6614 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.7778 loss: 3.7778 2022/06/27 17:09:54 - mmengine - INFO - Epoch(train) [1][2420/3757] lr: 1.000e-02 eta: 1 day, 3:58:53 time: 0.202 data_time: 0.010 memory: 5149 grad_norm: 6.4657 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0416 loss: 3.0416 2022/06/27 17:10:00 - mmengine - INFO - Epoch(train) [1][2440/3757] lr: 1.000e-02 eta: 1 day, 3:59:55 time: 0.962 data_time: 0.021 memory: 5149 grad_norm: 6.4590 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.9799 loss: 3.9799 2022/06/27 17:10:05 - mmengine - INFO - Epoch(train) [1][2460/3757] lr: 1.000e-02 eta: 1 day, 3:58:32 time: 0.273 data_time: 0.006 memory: 5149 grad_norm: 6.3252 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.6827 loss: 3.6827 2022/06/27 17:10:10 - mmengine - INFO - Epoch(train) [1][2480/3757] lr: 1.000e-02 eta: 1 day, 3:58:54 time: 0.211 data_time: 0.006 memory: 5149 grad_norm: 6.2991 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.7386 loss: 3.7386 2022/06/27 17:10:15 - mmengine - INFO - Epoch(train) [1][2500/3757] lr: 1.000e-02 eta: 1 day, 3:58:06 time: 0.204 data_time: 0.005 memory: 5149 grad_norm: 6.2745 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.9601 loss: 3.9601 2022/06/27 17:10:21 - mmengine - INFO - Epoch(train) [1][2520/3757] lr: 1.000e-02 eta: 1 day, 3:58:16 time: 0.541 data_time: 0.017 memory: 5149 grad_norm: 6.0046 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2798 loss: 3.2798 2022/06/27 17:10:26 - mmengine - INFO - Epoch(train) [1][2540/3757] lr: 1.000e-02 eta: 1 day, 3:56:32 time: 0.188 data_time: 0.011 memory: 5149 grad_norm: 6.5483 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.8335 loss: 3.8335 2022/06/27 17:10:32 - mmengine - INFO - Epoch(train) [1][2560/3757] lr: 1.000e-02 eta: 1 day, 3:57:54 time: 0.206 data_time: 0.006 memory: 5149 grad_norm: 6.4235 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.2129 loss: 4.2129 2022/06/27 17:10:36 - mmengine - INFO - Epoch(train) [1][2580/3757] lr: 1.000e-02 eta: 1 day, 3:56:02 time: 0.217 data_time: 0.025 memory: 5149 grad_norm: 6.1107 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.9954 loss: 3.9954 2022/06/27 17:10:41 - mmengine - INFO - Epoch(train) [1][2600/3757] lr: 1.000e-02 eta: 1 day, 3:55:08 time: 0.188 data_time: 0.009 memory: 5149 grad_norm: 6.0788 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5168 loss: 3.5168 2022/06/27 17:10:47 - mmengine - INFO - Epoch(train) [1][2620/3757] lr: 1.000e-02 eta: 1 day, 3:55:22 time: 0.201 data_time: 0.012 memory: 5149 grad_norm: 6.5129 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.6765 loss: 3.6765 2022/06/27 17:10:53 - mmengine - INFO - Epoch(train) [1][2640/3757] lr: 1.000e-02 eta: 1 day, 3:55:45 time: 0.235 data_time: 0.022 memory: 5149 grad_norm: 6.4815 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.6298 loss: 3.6298 2022/06/27 17:10:57 - mmengine - INFO - Epoch(train) [1][2660/3757] lr: 1.000e-02 eta: 1 day, 3:53:47 time: 0.196 data_time: 0.013 memory: 5149 grad_norm: 5.8092 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.9118 loss: 3.9118 2022/06/27 17:11:03 - mmengine - INFO - Epoch(train) [1][2680/3757] lr: 1.000e-02 eta: 1 day, 3:54:01 time: 0.205 data_time: 0.007 memory: 5149 grad_norm: 5.9429 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.6932 loss: 3.6932 2022/06/27 17:11:08 - mmengine - INFO - Epoch(train) [1][2700/3757] lr: 1.000e-02 eta: 1 day, 3:53:16 time: 0.229 data_time: 0.020 memory: 5149 grad_norm: 6.7297 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5993 loss: 3.5993 2022/06/27 17:11:13 - mmengine - INFO - Epoch(train) [1][2720/3757] lr: 1.000e-02 eta: 1 day, 3:53:33 time: 0.192 data_time: 0.012 memory: 5149 grad_norm: 6.0521 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.7922 loss: 3.7922 2022/06/27 17:11:19 - mmengine - INFO - Epoch(train) [1][2740/3757] lr: 1.000e-02 eta: 1 day, 3:53:49 time: 0.582 data_time: 0.007 memory: 5149 grad_norm: 6.9135 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.6247 loss: 3.6247 2022/06/27 17:11:24 - mmengine - INFO - Epoch(train) [1][2760/3757] lr: 1.000e-02 eta: 1 day, 3:53:21 time: 0.210 data_time: 0.013 memory: 5149 grad_norm: 6.4724 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.5175 loss: 3.5175 2022/06/27 17:11:29 - mmengine - INFO - Epoch(train) [1][2780/3757] lr: 1.000e-02 eta: 1 day, 3:53:02 time: 0.674 data_time: 0.010 memory: 5149 grad_norm: 6.1529 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4937 loss: 3.4937 2022/06/27 17:11:35 - mmengine - INFO - Epoch(train) [1][2800/3757] lr: 1.000e-02 eta: 1 day, 3:52:42 time: 0.416 data_time: 0.006 memory: 5149 grad_norm: 6.3845 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3995 loss: 3.3995 2022/06/27 17:11:40 - mmengine - INFO - Epoch(train) [1][2820/3757] lr: 1.000e-02 eta: 1 day, 3:53:40 time: 0.596 data_time: 0.059 memory: 5149 grad_norm: 6.2147 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5577 loss: 3.5577 2022/06/27 17:11:45 - mmengine - INFO - Epoch(train) [1][2840/3757] lr: 1.000e-02 eta: 1 day, 3:52:35 time: 0.198 data_time: 0.010 memory: 5149 grad_norm: 6.5038 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.6741 loss: 3.6741 2022/06/27 17:11:51 - mmengine - INFO - Epoch(train) [1][2860/3757] lr: 1.000e-02 eta: 1 day, 3:52:57 time: 0.409 data_time: 0.015 memory: 5149 grad_norm: 6.0710 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.7256 loss: 3.7256 2022/06/27 17:11:56 - mmengine - INFO - Epoch(train) [1][2880/3757] lr: 1.000e-02 eta: 1 day, 3:52:29 time: 0.619 data_time: 0.017 memory: 5149 grad_norm: 6.6396 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.9138 loss: 3.9138 2022/06/27 17:12:02 - mmengine - INFO - Epoch(train) [1][2900/3757] lr: 1.000e-02 eta: 1 day, 3:52:41 time: 0.189 data_time: 0.013 memory: 5149 grad_norm: 6.6730 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.8238 loss: 3.8238 2022/06/27 17:12:07 - mmengine - INFO - Epoch(train) [1][2920/3757] lr: 1.000e-02 eta: 1 day, 3:53:21 time: 0.205 data_time: 0.012 memory: 5149 grad_norm: 6.6442 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2855 loss: 3.2855 2022/06/27 17:12:12 - mmengine - INFO - Epoch(train) [1][2940/3757] lr: 1.000e-02 eta: 1 day, 3:51:35 time: 0.532 data_time: 0.009 memory: 5149 grad_norm: 6.4786 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1231 loss: 3.1231 2022/06/27 17:12:17 - mmengine - INFO - Epoch(train) [1][2960/3757] lr: 1.000e-02 eta: 1 day, 3:51:06 time: 0.193 data_time: 0.007 memory: 5149 grad_norm: 6.1238 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2988 loss: 3.2988 2022/06/27 17:12:23 - mmengine - INFO - Epoch(train) [1][2980/3757] lr: 1.000e-02 eta: 1 day, 3:51:24 time: 0.192 data_time: 0.010 memory: 5149 grad_norm: 6.2963 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4581 loss: 3.4581 2022/06/27 17:12:28 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 17:12:28 - mmengine - INFO - Epoch(train) [1][3000/3757] lr: 1.000e-02 eta: 1 day, 3:50:37 time: 0.203 data_time: 0.008 memory: 5149 grad_norm: 6.6029 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3642 loss: 3.3642 2022/06/27 17:12:33 - mmengine - INFO - Epoch(train) [1][3020/3757] lr: 1.000e-02 eta: 1 day, 3:49:18 time: 0.190 data_time: 0.012 memory: 5149 grad_norm: 6.2708 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5014 loss: 3.5014 2022/06/27 17:12:38 - mmengine - INFO - Epoch(train) [1][3040/3757] lr: 1.000e-02 eta: 1 day, 3:50:08 time: 0.198 data_time: 0.006 memory: 5149 grad_norm: 6.3140 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.7537 loss: 3.7537 2022/06/27 17:12:43 - mmengine - INFO - Epoch(train) [1][3060/3757] lr: 1.000e-02 eta: 1 day, 3:49:17 time: 0.202 data_time: 0.006 memory: 5149 grad_norm: 6.3618 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.7677 loss: 3.7677 2022/06/27 17:12:49 - mmengine - INFO - Epoch(train) [1][3080/3757] lr: 1.000e-02 eta: 1 day, 3:49:40 time: 0.187 data_time: 0.009 memory: 5149 grad_norm: 5.9524 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.6832 loss: 3.6832 2022/06/27 17:12:55 - mmengine - INFO - Epoch(train) [1][3100/3757] lr: 1.000e-02 eta: 1 day, 3:49:49 time: 0.202 data_time: 0.007 memory: 5149 grad_norm: 6.0204 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.6645 loss: 3.6645 2022/06/27 17:12:59 - mmengine - INFO - Epoch(train) [1][3120/3757] lr: 1.000e-02 eta: 1 day, 3:48:14 time: 0.196 data_time: 0.015 memory: 5149 grad_norm: 6.3717 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.4839 loss: 3.4839 2022/06/27 17:13:05 - mmengine - INFO - Epoch(train) [1][3140/3757] lr: 1.000e-02 eta: 1 day, 3:48:33 time: 0.200 data_time: 0.007 memory: 5149 grad_norm: 6.4416 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3245 loss: 3.3245 2022/06/27 17:13:10 - mmengine - INFO - Epoch(train) [1][3160/3757] lr: 1.000e-02 eta: 1 day, 3:47:36 time: 0.204 data_time: 0.006 memory: 5149 grad_norm: 6.6158 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.7462 loss: 3.7462 2022/06/27 17:13:15 - mmengine - INFO - Epoch(train) [1][3180/3757] lr: 1.000e-02 eta: 1 day, 3:46:51 time: 0.197 data_time: 0.006 memory: 5149 grad_norm: 6.5362 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.5101 loss: 3.5101 2022/06/27 17:13:21 - mmengine - INFO - Epoch(train) [1][3200/3757] lr: 1.000e-02 eta: 1 day, 3:47:44 time: 0.207 data_time: 0.014 memory: 5149 grad_norm: 6.9411 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.8462 loss: 3.8462 2022/06/27 17:13:26 - mmengine - INFO - Epoch(train) [1][3220/3757] lr: 1.000e-02 eta: 1 day, 3:47:42 time: 0.573 data_time: 0.011 memory: 5149 grad_norm: 6.2772 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.9422 loss: 3.9422 2022/06/27 17:13:31 - mmengine - INFO - Epoch(train) [1][3240/3757] lr: 1.000e-02 eta: 1 day, 3:46:12 time: 0.201 data_time: 0.006 memory: 5149 grad_norm: 6.6069 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.9805 loss: 3.9805 2022/06/27 17:13:37 - mmengine - INFO - Epoch(train) [1][3260/3757] lr: 1.000e-02 eta: 1 day, 3:47:29 time: 0.208 data_time: 0.017 memory: 5149 grad_norm: 6.3139 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.3461 loss: 3.3461 2022/06/27 17:13:43 - mmengine - INFO - Epoch(train) [1][3280/3757] lr: 1.000e-02 eta: 1 day, 3:48:21 time: 0.207 data_time: 0.008 memory: 5149 grad_norm: 6.1277 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.7568 loss: 3.7568 2022/06/27 17:13:47 - mmengine - INFO - Epoch(train) [1][3300/3757] lr: 1.000e-02 eta: 1 day, 3:45:48 time: 0.191 data_time: 0.009 memory: 5149 grad_norm: 6.1608 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.7525 loss: 3.7525 2022/06/27 17:13:52 - mmengine - INFO - Epoch(train) [1][3320/3757] lr: 1.000e-02 eta: 1 day, 3:45:28 time: 0.191 data_time: 0.006 memory: 5149 grad_norm: 6.6417 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0054 loss: 3.0054 2022/06/27 17:13:57 - mmengine - INFO - Epoch(train) [1][3340/3757] lr: 1.000e-02 eta: 1 day, 3:45:34 time: 0.765 data_time: 0.010 memory: 5149 grad_norm: 6.2863 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.9244 loss: 3.9244 2022/06/27 17:14:03 - mmengine - INFO - Epoch(train) [1][3360/3757] lr: 1.000e-02 eta: 1 day, 3:45:24 time: 0.196 data_time: 0.021 memory: 5149 grad_norm: 6.6916 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5810 loss: 3.5810 2022/06/27 17:14:07 - mmengine - INFO - Epoch(train) [1][3380/3757] lr: 1.000e-02 eta: 1 day, 3:43:47 time: 0.200 data_time: 0.010 memory: 5149 grad_norm: 6.4850 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.6943 loss: 3.6943 2022/06/27 17:14:13 - mmengine - INFO - Epoch(train) [1][3400/3757] lr: 1.000e-02 eta: 1 day, 3:44:28 time: 1.004 data_time: 0.012 memory: 5149 grad_norm: 6.5448 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1796 loss: 3.1796 2022/06/27 17:14:18 - mmengine - INFO - Epoch(train) [1][3420/3757] lr: 1.000e-02 eta: 1 day, 3:42:57 time: 0.193 data_time: 0.013 memory: 5149 grad_norm: 6.2671 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7487 loss: 3.7487 2022/06/27 17:14:23 - mmengine - INFO - Epoch(train) [1][3440/3757] lr: 1.000e-02 eta: 1 day, 3:43:14 time: 0.190 data_time: 0.006 memory: 5149 grad_norm: 6.5327 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.3030 loss: 3.3030 2022/06/27 17:14:29 - mmengine - INFO - Epoch(train) [1][3460/3757] lr: 1.000e-02 eta: 1 day, 3:43:34 time: 0.889 data_time: 0.007 memory: 5149 grad_norm: 6.2949 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2269 loss: 3.2269 2022/06/27 17:14:34 - mmengine - INFO - Epoch(train) [1][3480/3757] lr: 1.000e-02 eta: 1 day, 3:42:23 time: 0.188 data_time: 0.013 memory: 5149 grad_norm: 6.3335 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.9579 loss: 3.9579 2022/06/27 17:14:39 - mmengine - INFO - Epoch(train) [1][3500/3757] lr: 1.000e-02 eta: 1 day, 3:42:41 time: 0.194 data_time: 0.009 memory: 5149 grad_norm: 5.9626 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.5458 loss: 3.5458 2022/06/27 17:14:45 - mmengine - INFO - Epoch(train) [1][3520/3757] lr: 1.000e-02 eta: 1 day, 3:42:52 time: 0.509 data_time: 0.007 memory: 5149 grad_norm: 6.0640 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.9066 loss: 3.9066 2022/06/27 17:14:50 - mmengine - INFO - Epoch(train) [1][3540/3757] lr: 1.000e-02 eta: 1 day, 3:41:59 time: 0.199 data_time: 0.007 memory: 5149 grad_norm: 6.1403 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.4935 loss: 3.4935 2022/06/27 17:14:55 - mmengine - INFO - Epoch(train) [1][3560/3757] lr: 1.000e-02 eta: 1 day, 3:42:08 time: 0.200 data_time: 0.006 memory: 5149 grad_norm: 6.7655 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.5776 loss: 3.5776 2022/06/27 17:15:02 - mmengine - INFO - Epoch(train) [1][3580/3757] lr: 1.000e-02 eta: 1 day, 3:44:02 time: 0.212 data_time: 0.007 memory: 5149 grad_norm: 6.8147 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5394 loss: 3.5394 2022/06/27 17:15:06 - mmengine - INFO - Epoch(train) [1][3600/3757] lr: 1.000e-02 eta: 1 day, 3:41:40 time: 0.202 data_time: 0.007 memory: 5149 grad_norm: 6.2866 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.6400 loss: 3.6400 2022/06/27 17:15:10 - mmengine - INFO - Epoch(train) [1][3620/3757] lr: 1.000e-02 eta: 1 day, 3:40:06 time: 0.203 data_time: 0.007 memory: 5149 grad_norm: 6.2170 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.1002 loss: 4.1002 2022/06/27 17:15:16 - mmengine - INFO - Epoch(train) [1][3640/3757] lr: 1.000e-02 eta: 1 day, 3:40:27 time: 0.202 data_time: 0.011 memory: 5149 grad_norm: 6.5099 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.8709 loss: 3.8709 2022/06/27 17:15:21 - mmengine - INFO - Epoch(train) [1][3660/3757] lr: 1.000e-02 eta: 1 day, 3:39:50 time: 0.194 data_time: 0.006 memory: 5149 grad_norm: 6.2866 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.5904 loss: 3.5904 2022/06/27 17:15:26 - mmengine - INFO - Epoch(train) [1][3680/3757] lr: 1.000e-02 eta: 1 day, 3:39:53 time: 0.202 data_time: 0.010 memory: 5149 grad_norm: 6.7194 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.6317 loss: 3.6317 2022/06/27 17:15:32 - mmengine - INFO - Epoch(train) [1][3700/3757] lr: 1.000e-02 eta: 1 day, 3:40:03 time: 0.327 data_time: 0.008 memory: 5149 grad_norm: 6.5719 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.5213 loss: 3.5213 2022/06/27 17:15:37 - mmengine - INFO - Epoch(train) [1][3720/3757] lr: 1.000e-02 eta: 1 day, 3:39:06 time: 0.204 data_time: 0.029 memory: 5149 grad_norm: 6.9274 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.6645 loss: 3.6645 2022/06/27 17:15:42 - mmengine - INFO - Epoch(train) [1][3740/3757] lr: 1.000e-02 eta: 1 day, 3:39:05 time: 0.197 data_time: 0.006 memory: 5149 grad_norm: 6.3891 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4585 loss: 3.4585 2022/06/27 17:15:59 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 17:16:09 - mmengine - INFO - Epoch(val) [1][20/310] eta: 0:01:07 time: 0.083 data_time: 0.012 memory: 41909 2022/06/27 17:16:13 - mmengine - INFO - Epoch(val) [1][40/310] eta: 0:01:02 time: 0.075 data_time: 0.005 memory: 1367 2022/06/27 17:16:19 - mmengine - INFO - Epoch(val) [1][60/310] eta: 0:00:53 time: 0.078 data_time: 0.008 memory: 1367 2022/06/27 17:16:24 - mmengine - INFO - Epoch(val) [1][80/310] eta: 0:00:54 time: 0.079 data_time: 0.008 memory: 1367 2022/06/27 17:16:30 - mmengine - INFO - Epoch(val) [1][100/310] eta: 0:00:47 time: 0.082 data_time: 0.005 memory: 1367 2022/06/27 17:16:34 - mmengine - INFO - Epoch(val) [1][120/310] eta: 0:00:41 time: 0.112 data_time: 0.042 memory: 1367 2022/06/27 17:16:40 - mmengine - INFO - Epoch(val) [1][140/310] eta: 0:00:52 time: 1.011 data_time: 0.866 memory: 1367 2022/06/27 17:16:45 - mmengine - INFO - Epoch(val) [1][160/310] eta: 0:00:33 time: 0.079 data_time: 0.008 memory: 1367 2022/06/27 17:16:51 - mmengine - INFO - Epoch(val) [1][180/310] eta: 0:00:47 time: 1.415 data_time: 1.338 memory: 1367 2022/06/27 17:16:55 - mmengine - INFO - Epoch(val) [1][200/310] eta: 0:00:25 time: 0.080 data_time: 0.009 memory: 1367 2022/06/27 17:17:01 - mmengine - INFO - Epoch(val) [1][220/310] eta: 0:00:28 time: 0.270 data_time: 0.194 memory: 1367 2022/06/27 17:17:06 - mmengine - INFO - Epoch(val) [1][240/310] eta: 0:00:15 time: 0.080 data_time: 0.005 memory: 1367 2022/06/27 17:17:12 - mmengine - INFO - Epoch(val) [1][260/310] eta: 0:00:16 time: 0.626 data_time: 0.549 memory: 1367 2022/06/27 17:17:16 - mmengine - INFO - Epoch(val) [1][280/310] eta: 0:00:06 time: 0.076 data_time: 0.005 memory: 1367 2022/06/27 17:17:22 - mmengine - INFO - Epoch(val) [1][300/310] eta: 0:00:03 time: 0.221 data_time: 0.150 memory: 1367 2022/06/27 17:17:34 - mmengine - INFO - Epoch(val) [1][310/310] acc/top1: 0.2944 acc/top5: 0.5740 acc/mean1: 0.2941 2022/06/27 17:17:44 - mmengine - INFO - Epoch(train) [2][20/3757] lr: 1.000e-02 eta: 1 day, 3:42:10 time: 0.188 data_time: 0.006 memory: 37587 grad_norm: 6.1930 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4178 loss: 3.4178 2022/06/27 17:17:49 - mmengine - INFO - Epoch(train) [2][40/3757] lr: 1.000e-02 eta: 1 day, 3:41:34 time: 0.189 data_time: 0.007 memory: 5148 grad_norm: 6.0288 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.7847 loss: 3.7847 2022/06/27 17:17:54 - mmengine - INFO - Epoch(train) [2][60/3757] lr: 1.000e-02 eta: 1 day, 3:40:21 time: 0.193 data_time: 0.009 memory: 5148 grad_norm: 6.6464 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.3082 loss: 3.3082 2022/06/27 17:18:00 - mmengine - INFO - Epoch(train) [2][80/3757] lr: 1.000e-02 eta: 1 day, 3:40:51 time: 0.193 data_time: 0.006 memory: 5148 grad_norm: 6.3576 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.2977 loss: 3.2977 2022/06/27 17:18:04 - mmengine - INFO - Epoch(train) [2][100/3757] lr: 1.000e-02 eta: 1 day, 3:39:51 time: 0.185 data_time: 0.006 memory: 5148 grad_norm: 6.5234 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9537 loss: 2.9537 2022/06/27 17:18:09 - mmengine - INFO - Epoch(train) [2][120/3757] lr: 1.000e-02 eta: 1 day, 3:39:24 time: 0.189 data_time: 0.014 memory: 5148 grad_norm: 6.6302 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.6976 loss: 3.6976 2022/06/27 17:18:15 - mmengine - INFO - Epoch(train) [2][140/3757] lr: 1.000e-02 eta: 1 day, 3:39:34 time: 0.191 data_time: 0.009 memory: 5148 grad_norm: 5.8481 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.5096 loss: 3.5096 2022/06/27 17:18:20 - mmengine - INFO - Epoch(train) [2][160/3757] lr: 1.000e-02 eta: 1 day, 3:39:34 time: 0.249 data_time: 0.011 memory: 5148 grad_norm: 6.2544 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1782 loss: 3.1782 2022/06/27 17:18:25 - mmengine - INFO - Epoch(train) [2][180/3757] lr: 1.000e-02 eta: 1 day, 3:38:13 time: 0.192 data_time: 0.010 memory: 5148 grad_norm: 6.3742 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.3836 loss: 3.3836 2022/06/27 17:18:31 - mmengine - INFO - Epoch(train) [2][200/3757] lr: 1.000e-02 eta: 1 day, 3:39:46 time: 0.203 data_time: 0.012 memory: 5148 grad_norm: 6.2002 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.1388 loss: 3.1388 2022/06/27 17:18:36 - mmengine - INFO - Epoch(train) [2][220/3757] lr: 1.000e-02 eta: 1 day, 3:38:00 time: 0.191 data_time: 0.006 memory: 5148 grad_norm: 6.1954 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.4224 loss: 3.4224 2022/06/27 17:18:42 - mmengine - INFO - Epoch(train) [2][240/3757] lr: 1.000e-02 eta: 1 day, 3:38:56 time: 0.192 data_time: 0.013 memory: 5148 grad_norm: 6.4888 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4625 loss: 3.4625 2022/06/27 17:18:42 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 17:18:47 - mmengine - INFO - Epoch(train) [2][260/3757] lr: 1.000e-02 eta: 1 day, 3:38:59 time: 0.193 data_time: 0.009 memory: 5148 grad_norm: 6.3451 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6581 loss: 2.6581 2022/06/27 17:18:52 - mmengine - INFO - Epoch(train) [2][280/3757] lr: 1.000e-02 eta: 1 day, 3:37:43 time: 0.202 data_time: 0.014 memory: 5148 grad_norm: 6.3568 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4708 loss: 3.4708 2022/06/27 17:18:57 - mmengine - INFO - Epoch(train) [2][300/3757] lr: 1.000e-02 eta: 1 day, 3:37:33 time: 0.190 data_time: 0.010 memory: 5148 grad_norm: 5.7091 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 3.8275 loss: 3.8275 2022/06/27 17:19:03 - mmengine - INFO - Epoch(train) [2][320/3757] lr: 1.000e-02 eta: 1 day, 3:38:33 time: 0.240 data_time: 0.006 memory: 5148 grad_norm: 5.9076 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1141 loss: 3.1141 2022/06/27 17:19:08 - mmengine - INFO - Epoch(train) [2][340/3757] lr: 1.000e-02 eta: 1 day, 3:38:16 time: 0.193 data_time: 0.006 memory: 5148 grad_norm: 6.4053 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.2460 loss: 3.2460 2022/06/27 17:19:13 - mmengine - INFO - Epoch(train) [2][360/3757] lr: 1.000e-02 eta: 1 day, 3:37:35 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 6.6956 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3083 loss: 3.3083 2022/06/27 17:19:19 - mmengine - INFO - Epoch(train) [2][380/3757] lr: 1.000e-02 eta: 1 day, 3:37:25 time: 0.192 data_time: 0.006 memory: 5148 grad_norm: 6.2788 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.3668 loss: 3.3668 2022/06/27 17:19:24 - mmengine - INFO - Epoch(train) [2][400/3757] lr: 1.000e-02 eta: 1 day, 3:37:05 time: 0.203 data_time: 0.012 memory: 5148 grad_norm: 6.4551 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8234 loss: 2.8234 2022/06/27 17:19:29 - mmengine - INFO - Epoch(train) [2][420/3757] lr: 1.000e-02 eta: 1 day, 3:36:09 time: 0.192 data_time: 0.006 memory: 5148 grad_norm: 6.8233 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.4330 loss: 3.4330 2022/06/27 17:19:34 - mmengine - INFO - Epoch(train) [2][440/3757] lr: 1.000e-02 eta: 1 day, 3:35:52 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 6.3538 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.7338 loss: 3.7338 2022/06/27 17:19:39 - mmengine - INFO - Epoch(train) [2][460/3757] lr: 1.000e-02 eta: 1 day, 3:34:58 time: 0.208 data_time: 0.013 memory: 5148 grad_norm: 6.1931 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.4620 loss: 3.4620 2022/06/27 17:19:44 - mmengine - INFO - Epoch(train) [2][480/3757] lr: 1.000e-02 eta: 1 day, 3:34:25 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 6.0314 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.4361 loss: 3.4361 2022/06/27 17:19:49 - mmengine - INFO - Epoch(train) [2][500/3757] lr: 1.000e-02 eta: 1 day, 3:34:42 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 6.2526 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2071 loss: 3.2071 2022/06/27 17:19:55 - mmengine - INFO - Epoch(train) [2][520/3757] lr: 1.000e-02 eta: 1 day, 3:34:42 time: 0.205 data_time: 0.009 memory: 5148 grad_norm: 6.0713 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3836 loss: 3.3836 2022/06/27 17:20:00 - mmengine - INFO - Epoch(train) [2][540/3757] lr: 1.000e-02 eta: 1 day, 3:34:22 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 5.7788 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 3.2300 loss: 3.2300 2022/06/27 17:20:05 - mmengine - INFO - Epoch(train) [2][560/3757] lr: 1.000e-02 eta: 1 day, 3:34:40 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 6.4840 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3413 loss: 3.3413 2022/06/27 17:20:11 - mmengine - INFO - Epoch(train) [2][580/3757] lr: 1.000e-02 eta: 1 day, 3:34:38 time: 0.315 data_time: 0.005 memory: 5148 grad_norm: 5.7731 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3408 loss: 3.3408 2022/06/27 17:20:16 - mmengine - INFO - Epoch(train) [2][600/3757] lr: 1.000e-02 eta: 1 day, 3:34:31 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 6.2019 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.3487 loss: 3.3487 2022/06/27 17:20:21 - mmengine - INFO - Epoch(train) [2][620/3757] lr: 1.000e-02 eta: 1 day, 3:34:30 time: 0.214 data_time: 0.006 memory: 5148 grad_norm: 6.1367 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.3332 loss: 3.3332 2022/06/27 17:20:27 - mmengine - INFO - Epoch(train) [2][640/3757] lr: 1.000e-02 eta: 1 day, 3:34:18 time: 0.189 data_time: 0.005 memory: 5148 grad_norm: 6.4469 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.6401 loss: 3.6401 2022/06/27 17:20:32 - mmengine - INFO - Epoch(train) [2][660/3757] lr: 1.000e-02 eta: 1 day, 3:33:44 time: 0.204 data_time: 0.009 memory: 5148 grad_norm: 6.6549 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.3340 loss: 3.3340 2022/06/27 17:20:37 - mmengine - INFO - Epoch(train) [2][680/3757] lr: 1.000e-02 eta: 1 day, 3:33:43 time: 0.197 data_time: 0.009 memory: 5148 grad_norm: 5.9761 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.5955 loss: 3.5955 2022/06/27 17:20:42 - mmengine - INFO - Epoch(train) [2][700/3757] lr: 1.000e-02 eta: 1 day, 3:33:01 time: 0.194 data_time: 0.011 memory: 5148 grad_norm: 5.9377 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.8381 loss: 3.8381 2022/06/27 17:20:48 - mmengine - INFO - Epoch(train) [2][720/3757] lr: 1.000e-02 eta: 1 day, 3:33:06 time: 0.194 data_time: 0.006 memory: 5148 grad_norm: 6.0040 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5355 loss: 3.5355 2022/06/27 17:20:53 - mmengine - INFO - Epoch(train) [2][740/3757] lr: 1.000e-02 eta: 1 day, 3:32:59 time: 0.217 data_time: 0.006 memory: 5148 grad_norm: 6.6508 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2310 loss: 3.2310 2022/06/27 17:20:58 - mmengine - INFO - Epoch(train) [2][760/3757] lr: 1.000e-02 eta: 1 day, 3:32:18 time: 0.194 data_time: 0.014 memory: 5148 grad_norm: 6.4747 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.4553 loss: 3.4553 2022/06/27 17:21:03 - mmengine - INFO - Epoch(train) [2][780/3757] lr: 1.000e-02 eta: 1 day, 3:31:32 time: 0.196 data_time: 0.005 memory: 5148 grad_norm: 6.3462 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.3031 loss: 3.3031 2022/06/27 17:21:09 - mmengine - INFO - Epoch(train) [2][800/3757] lr: 1.000e-02 eta: 1 day, 3:32:46 time: 0.221 data_time: 0.006 memory: 5148 grad_norm: 5.9779 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.3077 loss: 3.3077 2022/06/27 17:21:14 - mmengine - INFO - Epoch(train) [2][820/3757] lr: 1.000e-02 eta: 1 day, 3:32:51 time: 0.209 data_time: 0.031 memory: 5148 grad_norm: 5.9003 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0550 loss: 3.0550 2022/06/27 17:21:18 - mmengine - INFO - Epoch(train) [2][840/3757] lr: 1.000e-02 eta: 1 day, 3:30:58 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 6.5037 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.6007 loss: 3.6007 2022/06/27 17:21:23 - mmengine - INFO - Epoch(train) [2][860/3757] lr: 1.000e-02 eta: 1 day, 3:29:46 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 5.4474 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4873 loss: 3.4873 2022/06/27 17:21:28 - mmengine - INFO - Epoch(train) [2][880/3757] lr: 1.000e-02 eta: 1 day, 3:29:37 time: 0.194 data_time: 0.011 memory: 5148 grad_norm: 6.4140 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3783 loss: 3.3783 2022/06/27 17:21:33 - mmengine - INFO - Epoch(train) [2][900/3757] lr: 1.000e-02 eta: 1 day, 3:28:53 time: 0.196 data_time: 0.006 memory: 5148 grad_norm: 6.3108 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2530 loss: 3.2530 2022/06/27 17:21:39 - mmengine - INFO - Epoch(train) [2][920/3757] lr: 1.000e-02 eta: 1 day, 3:29:10 time: 0.192 data_time: 0.006 memory: 5148 grad_norm: 6.8746 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8423 loss: 2.8423 2022/06/27 17:21:44 - mmengine - INFO - Epoch(train) [2][940/3757] lr: 1.000e-02 eta: 1 day, 3:29:15 time: 0.202 data_time: 0.021 memory: 5148 grad_norm: 6.1519 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2623 loss: 3.2623 2022/06/27 17:21:50 - mmengine - INFO - Epoch(train) [2][960/3757] lr: 1.000e-02 eta: 1 day, 3:29:13 time: 0.326 data_time: 0.007 memory: 5148 grad_norm: 5.9858 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1453 loss: 3.1453 2022/06/27 17:21:55 - mmengine - INFO - Epoch(train) [2][980/3757] lr: 1.000e-02 eta: 1 day, 3:28:46 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.1835 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1070 loss: 3.1070 2022/06/27 17:22:00 - mmengine - INFO - Epoch(train) [2][1000/3757] lr: 1.000e-02 eta: 1 day, 3:28:44 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 6.0708 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0123 loss: 3.0123 2022/06/27 17:22:06 - mmengine - INFO - Epoch(train) [2][1020/3757] lr: 1.000e-02 eta: 1 day, 3:29:06 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 6.1208 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.6931 loss: 3.6931 2022/06/27 17:22:11 - mmengine - INFO - Epoch(train) [2][1040/3757] lr: 1.000e-02 eta: 1 day, 3:29:37 time: 0.209 data_time: 0.006 memory: 5148 grad_norm: 5.7835 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.3596 loss: 3.3596 2022/06/27 17:22:16 - mmengine - INFO - Epoch(train) [2][1060/3757] lr: 1.000e-02 eta: 1 day, 3:29:08 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 6.3787 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.5057 loss: 3.5057 2022/06/27 17:22:21 - mmengine - INFO - Epoch(train) [2][1080/3757] lr: 1.000e-02 eta: 1 day, 3:28:39 time: 0.194 data_time: 0.009 memory: 5148 grad_norm: 6.2745 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2720 loss: 3.2720 2022/06/27 17:22:27 - mmengine - INFO - Epoch(train) [2][1100/3757] lr: 1.000e-02 eta: 1 day, 3:28:29 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.1835 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.3861 loss: 3.3861 2022/06/27 17:22:32 - mmengine - INFO - Epoch(train) [2][1120/3757] lr: 1.000e-02 eta: 1 day, 3:28:27 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.6107 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.5012 loss: 3.5012 2022/06/27 17:22:37 - mmengine - INFO - Epoch(train) [2][1140/3757] lr: 1.000e-02 eta: 1 day, 3:27:45 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 5.8323 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.3235 loss: 3.3235 2022/06/27 17:22:43 - mmengine - INFO - Epoch(train) [2][1160/3757] lr: 1.000e-02 eta: 1 day, 3:27:58 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 5.7076 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.5663 loss: 3.5663 2022/06/27 17:22:48 - mmengine - INFO - Epoch(train) [2][1180/3757] lr: 1.000e-02 eta: 1 day, 3:27:40 time: 0.196 data_time: 0.006 memory: 5148 grad_norm: 5.4007 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.5755 loss: 3.5755 2022/06/27 17:22:53 - mmengine - INFO - Epoch(train) [2][1200/3757] lr: 1.000e-02 eta: 1 day, 3:27:39 time: 0.195 data_time: 0.006 memory: 5148 grad_norm: 6.1408 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.6737 loss: 3.6737 2022/06/27 17:22:59 - mmengine - INFO - Epoch(train) [2][1220/3757] lr: 1.000e-02 eta: 1 day, 3:27:43 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 6.2379 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.4561 loss: 3.4561 2022/06/27 17:23:04 - mmengine - INFO - Epoch(train) [2][1240/3757] lr: 1.000e-02 eta: 1 day, 3:28:02 time: 0.227 data_time: 0.007 memory: 5148 grad_norm: 5.5222 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1614 loss: 3.1614 2022/06/27 17:23:05 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 17:23:09 - mmengine - INFO - Epoch(train) [2][1260/3757] lr: 1.000e-02 eta: 1 day, 3:27:07 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 5.8013 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9403 loss: 2.9403 2022/06/27 17:23:14 - mmengine - INFO - Epoch(train) [2][1280/3757] lr: 1.000e-02 eta: 1 day, 3:27:03 time: 0.196 data_time: 0.006 memory: 5148 grad_norm: 6.3007 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4170 loss: 3.4170 2022/06/27 17:23:20 - mmengine - INFO - Epoch(train) [2][1300/3757] lr: 1.000e-02 eta: 1 day, 3:26:52 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 6.4674 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.5217 loss: 3.5217 2022/06/27 17:23:25 - mmengine - INFO - Epoch(train) [2][1320/3757] lr: 1.000e-02 eta: 1 day, 3:26:45 time: 0.401 data_time: 0.007 memory: 5148 grad_norm: 6.4529 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1262 loss: 3.1262 2022/06/27 17:23:31 - mmengine - INFO - Epoch(train) [2][1340/3757] lr: 1.000e-02 eta: 1 day, 3:27:08 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 5.7886 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8430 loss: 2.8430 2022/06/27 17:23:36 - mmengine - INFO - Epoch(train) [2][1360/3757] lr: 1.000e-02 eta: 1 day, 3:26:35 time: 0.190 data_time: 0.007 memory: 5148 grad_norm: 6.5379 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1754 loss: 3.1754 2022/06/27 17:23:41 - mmengine - INFO - Epoch(train) [2][1380/3757] lr: 1.000e-02 eta: 1 day, 3:27:15 time: 0.836 data_time: 0.007 memory: 5148 grad_norm: 6.4624 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.4911 loss: 3.4911 2022/06/27 17:23:46 - mmengine - INFO - Epoch(train) [2][1400/3757] lr: 1.000e-02 eta: 1 day, 3:26:40 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.1337 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.4916 loss: 3.4916 2022/06/27 17:23:53 - mmengine - INFO - Epoch(train) [2][1420/3757] lr: 1.000e-02 eta: 1 day, 3:27:56 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 6.0063 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0727 loss: 3.0727 2022/06/27 17:23:57 - mmengine - INFO - Epoch(train) [2][1440/3757] lr: 1.000e-02 eta: 1 day, 3:26:22 time: 0.208 data_time: 0.010 memory: 5148 grad_norm: 7.3121 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2481 loss: 3.2481 2022/06/27 17:24:01 - mmengine - INFO - Epoch(train) [2][1460/3757] lr: 1.000e-02 eta: 1 day, 3:24:56 time: 0.230 data_time: 0.009 memory: 5148 grad_norm: 6.1899 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.6114 loss: 3.6114 2022/06/27 17:24:07 - mmengine - INFO - Epoch(train) [2][1480/3757] lr: 1.000e-02 eta: 1 day, 3:25:14 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 6.4068 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.5367 loss: 3.5367 2022/06/27 17:24:12 - mmengine - INFO - Epoch(train) [2][1500/3757] lr: 1.000e-02 eta: 1 day, 3:25:29 time: 0.541 data_time: 0.007 memory: 5148 grad_norm: 6.3249 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4461 loss: 3.4461 2022/06/27 17:24:17 - mmengine - INFO - Epoch(train) [2][1520/3757] lr: 1.000e-02 eta: 1 day, 3:24:42 time: 0.203 data_time: 0.012 memory: 5148 grad_norm: 5.8711 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7437 loss: 2.7437 2022/06/27 17:24:23 - mmengine - INFO - Epoch(train) [2][1540/3757] lr: 1.000e-02 eta: 1 day, 3:25:15 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.5782 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.1466 loss: 3.1466 2022/06/27 17:24:28 - mmengine - INFO - Epoch(train) [2][1560/3757] lr: 1.000e-02 eta: 1 day, 3:25:17 time: 0.891 data_time: 0.006 memory: 5148 grad_norm: 6.6149 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.4212 loss: 3.4212 2022/06/27 17:24:34 - mmengine - INFO - Epoch(train) [2][1580/3757] lr: 1.000e-02 eta: 1 day, 3:25:10 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 6.2630 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9312 loss: 2.9312 2022/06/27 17:24:39 - mmengine - INFO - Epoch(train) [2][1600/3757] lr: 1.000e-02 eta: 1 day, 3:24:48 time: 0.194 data_time: 0.006 memory: 5148 grad_norm: 5.8098 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1042 loss: 3.1042 2022/06/27 17:24:44 - mmengine - INFO - Epoch(train) [2][1620/3757] lr: 1.000e-02 eta: 1 day, 3:24:12 time: 0.496 data_time: 0.009 memory: 5148 grad_norm: 6.1286 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2124 loss: 3.2124 2022/06/27 17:24:49 - mmengine - INFO - Epoch(train) [2][1640/3757] lr: 1.000e-02 eta: 1 day, 3:24:08 time: 0.191 data_time: 0.010 memory: 5148 grad_norm: 6.4883 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.4686 loss: 3.4686 2022/06/27 17:24:55 - mmengine - INFO - Epoch(train) [2][1660/3757] lr: 1.000e-02 eta: 1 day, 3:24:30 time: 0.188 data_time: 0.007 memory: 5148 grad_norm: 6.1287 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2453 loss: 3.2453 2022/06/27 17:25:00 - mmengine - INFO - Epoch(train) [2][1680/3757] lr: 1.000e-02 eta: 1 day, 3:23:50 time: 0.192 data_time: 0.006 memory: 5148 grad_norm: 5.6172 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0955 loss: 3.0955 2022/06/27 17:25:06 - mmengine - INFO - Epoch(train) [2][1700/3757] lr: 1.000e-02 eta: 1 day, 3:24:25 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 6.5965 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1356 loss: 3.1356 2022/06/27 17:25:11 - mmengine - INFO - Epoch(train) [2][1720/3757] lr: 1.000e-02 eta: 1 day, 3:24:13 time: 0.189 data_time: 0.011 memory: 5148 grad_norm: 6.2840 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8546 loss: 2.8546 2022/06/27 17:25:16 - mmengine - INFO - Epoch(train) [2][1740/3757] lr: 1.000e-02 eta: 1 day, 3:24:20 time: 0.193 data_time: 0.009 memory: 5148 grad_norm: 6.2661 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2661 loss: 3.2661 2022/06/27 17:25:22 - mmengine - INFO - Epoch(train) [2][1760/3757] lr: 1.000e-02 eta: 1 day, 3:24:39 time: 0.206 data_time: 0.006 memory: 5148 grad_norm: 6.4324 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.9536 loss: 2.9536 2022/06/27 17:25:27 - mmengine - INFO - Epoch(train) [2][1780/3757] lr: 1.000e-02 eta: 1 day, 3:23:40 time: 0.194 data_time: 0.013 memory: 5148 grad_norm: 6.0236 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1016 loss: 3.1016 2022/06/27 17:25:32 - mmengine - INFO - Epoch(train) [2][1800/3757] lr: 1.000e-02 eta: 1 day, 3:23:24 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 6.2318 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3748 loss: 3.3748 2022/06/27 17:25:37 - mmengine - INFO - Epoch(train) [2][1820/3757] lr: 1.000e-02 eta: 1 day, 3:23:32 time: 0.206 data_time: 0.025 memory: 5148 grad_norm: 6.9249 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1040 loss: 3.1040 2022/06/27 17:25:43 - mmengine - INFO - Epoch(train) [2][1840/3757] lr: 1.000e-02 eta: 1 day, 3:23:35 time: 0.199 data_time: 0.013 memory: 5148 grad_norm: 6.1341 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2835 loss: 3.2835 2022/06/27 17:25:47 - mmengine - INFO - Epoch(train) [2][1860/3757] lr: 1.000e-02 eta: 1 day, 3:22:53 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 6.2052 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.8427 loss: 2.8427 2022/06/27 17:25:54 - mmengine - INFO - Epoch(train) [2][1880/3757] lr: 1.000e-02 eta: 1 day, 3:23:45 time: 0.253 data_time: 0.012 memory: 5148 grad_norm: 5.9994 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.4879 loss: 3.4879 2022/06/27 17:25:58 - mmengine - INFO - Epoch(train) [2][1900/3757] lr: 1.000e-02 eta: 1 day, 3:22:43 time: 0.196 data_time: 0.014 memory: 5148 grad_norm: 6.3710 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1389 loss: 3.1389 2022/06/27 17:26:04 - mmengine - INFO - Epoch(train) [2][1920/3757] lr: 1.000e-02 eta: 1 day, 3:22:44 time: 0.193 data_time: 0.006 memory: 5148 grad_norm: 5.6700 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3447 loss: 3.3447 2022/06/27 17:26:09 - mmengine - INFO - Epoch(train) [2][1940/3757] lr: 1.000e-02 eta: 1 day, 3:22:56 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 6.3481 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1838 loss: 3.1838 2022/06/27 17:26:14 - mmengine - INFO - Epoch(train) [2][1960/3757] lr: 1.000e-02 eta: 1 day, 3:22:14 time: 0.189 data_time: 0.010 memory: 5148 grad_norm: 6.0621 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0752 loss: 3.0752 2022/06/27 17:26:20 - mmengine - INFO - Epoch(train) [2][1980/3757] lr: 1.000e-02 eta: 1 day, 3:22:38 time: 0.236 data_time: 0.007 memory: 5148 grad_norm: 6.8276 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.1178 loss: 3.1178 2022/06/27 17:26:25 - mmengine - INFO - Epoch(train) [2][2000/3757] lr: 1.000e-02 eta: 1 day, 3:22:15 time: 0.187 data_time: 0.009 memory: 5148 grad_norm: 6.1210 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.2616 loss: 3.2616 2022/06/27 17:26:30 - mmengine - INFO - Epoch(train) [2][2020/3757] lr: 1.000e-02 eta: 1 day, 3:22:09 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 6.8069 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8343 loss: 2.8343 2022/06/27 17:26:35 - mmengine - INFO - Epoch(train) [2][2040/3757] lr: 1.000e-02 eta: 1 day, 3:21:49 time: 0.200 data_time: 0.009 memory: 5148 grad_norm: 6.4602 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.5643 loss: 3.5643 2022/06/27 17:26:41 - mmengine - INFO - Epoch(train) [2][2060/3757] lr: 1.000e-02 eta: 1 day, 3:22:00 time: 0.203 data_time: 0.024 memory: 5148 grad_norm: 5.9873 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.5112 loss: 3.5112 2022/06/27 17:26:46 - mmengine - INFO - Epoch(train) [2][2080/3757] lr: 1.000e-02 eta: 1 day, 3:21:47 time: 0.195 data_time: 0.006 memory: 5148 grad_norm: 6.4034 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.9148 loss: 3.9148 2022/06/27 17:26:51 - mmengine - INFO - Epoch(train) [2][2100/3757] lr: 1.000e-02 eta: 1 day, 3:21:09 time: 0.193 data_time: 0.006 memory: 5148 grad_norm: 5.4645 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2977 loss: 3.2977 2022/06/27 17:26:56 - mmengine - INFO - Epoch(train) [2][2120/3757] lr: 1.000e-02 eta: 1 day, 3:21:11 time: 0.207 data_time: 0.026 memory: 5148 grad_norm: 6.6228 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.5259 loss: 3.5259 2022/06/27 17:27:02 - mmengine - INFO - Epoch(train) [2][2140/3757] lr: 1.000e-02 eta: 1 day, 3:21:32 time: 0.192 data_time: 0.014 memory: 5148 grad_norm: 5.4262 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0875 loss: 3.0875 2022/06/27 17:27:07 - mmengine - INFO - Epoch(train) [2][2160/3757] lr: 1.000e-02 eta: 1 day, 3:20:52 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 6.4388 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.4409 loss: 3.4409 2022/06/27 17:27:12 - mmengine - INFO - Epoch(train) [2][2180/3757] lr: 1.000e-02 eta: 1 day, 3:21:10 time: 0.192 data_time: 0.010 memory: 5148 grad_norm: 6.7373 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1650 loss: 3.1650 2022/06/27 17:27:18 - mmengine - INFO - Epoch(train) [2][2200/3757] lr: 1.000e-02 eta: 1 day, 3:20:49 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 5.5073 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1417 loss: 3.1417 2022/06/27 17:27:23 - mmengine - INFO - Epoch(train) [2][2220/3757] lr: 1.000e-02 eta: 1 day, 3:20:36 time: 0.194 data_time: 0.013 memory: 5148 grad_norm: 6.1620 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0906 loss: 3.0906 2022/06/27 17:27:28 - mmengine - INFO - Epoch(train) [2][2240/3757] lr: 1.000e-02 eta: 1 day, 3:20:37 time: 0.197 data_time: 0.009 memory: 5148 grad_norm: 6.3127 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.5765 loss: 3.5765 2022/06/27 17:27:29 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 17:27:33 - mmengine - INFO - Epoch(train) [2][2260/3757] lr: 1.000e-02 eta: 1 day, 3:20:17 time: 0.197 data_time: 0.009 memory: 5148 grad_norm: 6.2472 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1459 loss: 3.1459 2022/06/27 17:27:38 - mmengine - INFO - Epoch(train) [2][2280/3757] lr: 1.000e-02 eta: 1 day, 3:19:36 time: 0.190 data_time: 0.006 memory: 5148 grad_norm: 6.0721 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.2327 loss: 3.2327 2022/06/27 17:27:43 - mmengine - INFO - Epoch(train) [2][2300/3757] lr: 1.000e-02 eta: 1 day, 3:19:13 time: 0.207 data_time: 0.017 memory: 5148 grad_norm: 5.9433 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.3299 loss: 3.3299 2022/06/27 17:27:49 - mmengine - INFO - Epoch(train) [2][2320/3757] lr: 1.000e-02 eta: 1 day, 3:19:21 time: 0.197 data_time: 0.014 memory: 5148 grad_norm: 6.2560 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2470 loss: 3.2470 2022/06/27 17:27:54 - mmengine - INFO - Epoch(train) [2][2340/3757] lr: 1.000e-02 eta: 1 day, 3:18:57 time: 0.187 data_time: 0.007 memory: 5148 grad_norm: 6.1373 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.1869 loss: 3.1869 2022/06/27 17:27:59 - mmengine - INFO - Epoch(train) [2][2360/3757] lr: 1.000e-02 eta: 1 day, 3:18:54 time: 0.189 data_time: 0.008 memory: 5148 grad_norm: 6.5511 top1_acc: 0.0000 top5_acc: 0.7500 loss_cls: 3.3135 loss: 3.3135 2022/06/27 17:28:04 - mmengine - INFO - Epoch(train) [2][2380/3757] lr: 1.000e-02 eta: 1 day, 3:18:38 time: 0.224 data_time: 0.008 memory: 5148 grad_norm: 6.6944 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8306 loss: 2.8306 2022/06/27 17:28:09 - mmengine - INFO - Epoch(train) [2][2400/3757] lr: 1.000e-02 eta: 1 day, 3:17:57 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 6.7570 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2699 loss: 3.2699 2022/06/27 17:28:15 - mmengine - INFO - Epoch(train) [2][2420/3757] lr: 1.000e-02 eta: 1 day, 3:18:17 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 6.3005 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.6626 loss: 3.6626 2022/06/27 17:28:20 - mmengine - INFO - Epoch(train) [2][2440/3757] lr: 1.000e-02 eta: 1 day, 3:18:01 time: 0.518 data_time: 0.006 memory: 5148 grad_norm: 6.0888 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0982 loss: 3.0982 2022/06/27 17:28:24 - mmengine - INFO - Epoch(train) [2][2460/3757] lr: 1.000e-02 eta: 1 day, 3:17:19 time: 0.192 data_time: 0.009 memory: 5148 grad_norm: 5.4278 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2750 loss: 3.2750 2022/06/27 17:28:30 - mmengine - INFO - Epoch(train) [2][2480/3757] lr: 1.000e-02 eta: 1 day, 3:17:36 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 5.2774 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0164 loss: 3.0164 2022/06/27 17:28:36 - mmengine - INFO - Epoch(train) [2][2500/3757] lr: 1.000e-02 eta: 1 day, 3:17:52 time: 0.755 data_time: 0.006 memory: 5148 grad_norm: 6.5399 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9122 loss: 2.9122 2022/06/27 17:28:41 - mmengine - INFO - Epoch(train) [2][2520/3757] lr: 1.000e-02 eta: 1 day, 3:17:19 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.3032 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.4390 loss: 3.4390 2022/06/27 17:28:46 - mmengine - INFO - Epoch(train) [2][2540/3757] lr: 1.000e-02 eta: 1 day, 3:17:34 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.4888 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2224 loss: 3.2224 2022/06/27 17:28:52 - mmengine - INFO - Epoch(train) [2][2560/3757] lr: 1.000e-02 eta: 1 day, 3:18:18 time: 1.313 data_time: 0.008 memory: 5148 grad_norm: 6.1196 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3358 loss: 3.3358 2022/06/27 17:28:57 - mmengine - INFO - Epoch(train) [2][2580/3757] lr: 1.000e-02 eta: 1 day, 3:17:02 time: 0.216 data_time: 0.006 memory: 5148 grad_norm: 6.2329 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.1261 loss: 3.1261 2022/06/27 17:29:01 - mmengine - INFO - Epoch(train) [2][2600/3757] lr: 1.000e-02 eta: 1 day, 3:16:25 time: 0.192 data_time: 0.006 memory: 5148 grad_norm: 6.2537 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8443 loss: 2.8443 2022/06/27 17:29:07 - mmengine - INFO - Epoch(train) [2][2620/3757] lr: 1.000e-02 eta: 1 day, 3:16:35 time: 0.211 data_time: 0.013 memory: 5148 grad_norm: 6.0147 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2143 loss: 3.2143 2022/06/27 17:29:13 - mmengine - INFO - Epoch(train) [2][2640/3757] lr: 1.000e-02 eta: 1 day, 3:17:16 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 5.7887 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.0053 loss: 3.0053 2022/06/27 17:29:17 - mmengine - INFO - Epoch(train) [2][2660/3757] lr: 1.000e-02 eta: 1 day, 3:15:55 time: 0.209 data_time: 0.011 memory: 5148 grad_norm: 6.8591 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1430 loss: 3.1430 2022/06/27 17:29:23 - mmengine - INFO - Epoch(train) [2][2680/3757] lr: 1.000e-02 eta: 1 day, 3:16:25 time: 0.193 data_time: 0.016 memory: 5148 grad_norm: 6.6463 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4329 loss: 3.4329 2022/06/27 17:29:28 - mmengine - INFO - Epoch(train) [2][2700/3757] lr: 1.000e-02 eta: 1 day, 3:16:22 time: 0.243 data_time: 0.006 memory: 5148 grad_norm: 6.2813 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.3059 loss: 3.3059 2022/06/27 17:29:34 - mmengine - INFO - Epoch(train) [2][2720/3757] lr: 1.000e-02 eta: 1 day, 3:16:15 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 5.8799 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0969 loss: 3.0969 2022/06/27 17:29:39 - mmengine - INFO - Epoch(train) [2][2740/3757] lr: 1.000e-02 eta: 1 day, 3:16:25 time: 0.217 data_time: 0.048 memory: 5148 grad_norm: 5.7992 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 4.0060 loss: 4.0060 2022/06/27 17:29:44 - mmengine - INFO - Epoch(train) [2][2760/3757] lr: 1.000e-02 eta: 1 day, 3:15:37 time: 0.420 data_time: 0.010 memory: 5148 grad_norm: 5.9115 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.5420 loss: 3.5420 2022/06/27 17:29:48 - mmengine - INFO - Epoch(train) [2][2780/3757] lr: 1.000e-02 eta: 1 day, 3:14:57 time: 0.222 data_time: 0.010 memory: 5148 grad_norm: 5.8647 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2371 loss: 3.2371 2022/06/27 17:29:54 - mmengine - INFO - Epoch(train) [2][2800/3757] lr: 1.000e-02 eta: 1 day, 3:14:43 time: 0.192 data_time: 0.016 memory: 5148 grad_norm: 6.2004 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3066 loss: 3.3066 2022/06/27 17:29:59 - mmengine - INFO - Epoch(train) [2][2820/3757] lr: 1.000e-02 eta: 1 day, 3:14:56 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 6.3097 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0801 loss: 3.0801 2022/06/27 17:30:05 - mmengine - INFO - Epoch(train) [2][2840/3757] lr: 1.000e-02 eta: 1 day, 3:15:09 time: 0.208 data_time: 0.012 memory: 5148 grad_norm: 6.1945 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.7693 loss: 3.7693 2022/06/27 17:30:10 - mmengine - INFO - Epoch(train) [2][2860/3757] lr: 1.000e-02 eta: 1 day, 3:14:49 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 6.3755 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4413 loss: 3.4413 2022/06/27 17:30:16 - mmengine - INFO - Epoch(train) [2][2880/3757] lr: 1.000e-02 eta: 1 day, 3:15:16 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 5.8099 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.3149 loss: 3.3149 2022/06/27 17:30:21 - mmengine - INFO - Epoch(train) [2][2900/3757] lr: 1.000e-02 eta: 1 day, 3:15:24 time: 0.214 data_time: 0.005 memory: 5148 grad_norm: 6.2777 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2032 loss: 3.2032 2022/06/27 17:30:26 - mmengine - INFO - Epoch(train) [2][2920/3757] lr: 1.000e-02 eta: 1 day, 3:14:59 time: 0.194 data_time: 0.009 memory: 5148 grad_norm: 5.8191 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.6143 loss: 3.6143 2022/06/27 17:30:32 - mmengine - INFO - Epoch(train) [2][2940/3757] lr: 1.000e-02 eta: 1 day, 3:15:10 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 5.8790 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3313 loss: 3.3313 2022/06/27 17:30:38 - mmengine - INFO - Epoch(train) [2][2960/3757] lr: 1.000e-02 eta: 1 day, 3:15:22 time: 0.200 data_time: 0.012 memory: 5148 grad_norm: 6.0732 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0910 loss: 3.0910 2022/06/27 17:30:42 - mmengine - INFO - Epoch(train) [2][2980/3757] lr: 1.000e-02 eta: 1 day, 3:14:45 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.5430 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2044 loss: 3.2044 2022/06/27 17:30:48 - mmengine - INFO - Epoch(train) [2][3000/3757] lr: 1.000e-02 eta: 1 day, 3:14:42 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 6.4419 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1575 loss: 3.1575 2022/06/27 17:30:53 - mmengine - INFO - Epoch(train) [2][3020/3757] lr: 1.000e-02 eta: 1 day, 3:14:53 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 6.6084 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1455 loss: 3.1455 2022/06/27 17:30:58 - mmengine - INFO - Epoch(train) [2][3040/3757] lr: 1.000e-02 eta: 1 day, 3:14:11 time: 0.190 data_time: 0.011 memory: 5148 grad_norm: 6.1656 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8563 loss: 2.8563 2022/06/27 17:31:04 - mmengine - INFO - Epoch(train) [2][3060/3757] lr: 1.000e-02 eta: 1 day, 3:14:39 time: 0.718 data_time: 0.006 memory: 5148 grad_norm: 6.2852 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4274 loss: 3.4274 2022/06/27 17:31:09 - mmengine - INFO - Epoch(train) [2][3080/3757] lr: 1.000e-02 eta: 1 day, 3:14:29 time: 0.191 data_time: 0.010 memory: 5148 grad_norm: 6.1908 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.3847 loss: 3.3847 2022/06/27 17:31:15 - mmengine - INFO - Epoch(train) [2][3100/3757] lr: 1.000e-02 eta: 1 day, 3:14:43 time: 0.203 data_time: 0.013 memory: 5148 grad_norm: 5.8078 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1025 loss: 3.1025 2022/06/27 17:31:20 - mmengine - INFO - Epoch(train) [2][3120/3757] lr: 1.000e-02 eta: 1 day, 3:14:18 time: 0.213 data_time: 0.041 memory: 5148 grad_norm: 5.8661 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2506 loss: 3.2506 2022/06/27 17:31:25 - mmengine - INFO - Epoch(train) [2][3140/3757] lr: 1.000e-02 eta: 1 day, 3:13:47 time: 0.198 data_time: 0.015 memory: 5148 grad_norm: 5.8291 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7164 loss: 2.7164 2022/06/27 17:31:30 - mmengine - INFO - Epoch(train) [2][3160/3757] lr: 1.000e-02 eta: 1 day, 3:13:39 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 6.4199 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1389 loss: 3.1389 2022/06/27 17:31:36 - mmengine - INFO - Epoch(train) [2][3180/3757] lr: 1.000e-02 eta: 1 day, 3:14:09 time: 0.229 data_time: 0.006 memory: 5148 grad_norm: 5.8958 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1121 loss: 3.1121 2022/06/27 17:31:40 - mmengine - INFO - Epoch(train) [2][3200/3757] lr: 1.000e-02 eta: 1 day, 3:12:54 time: 0.204 data_time: 0.009 memory: 5148 grad_norm: 5.5796 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0157 loss: 3.0157 2022/06/27 17:31:45 - mmengine - INFO - Epoch(train) [2][3220/3757] lr: 1.000e-02 eta: 1 day, 3:13:01 time: 0.208 data_time: 0.010 memory: 5148 grad_norm: 5.8569 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1109 loss: 3.1109 2022/06/27 17:31:51 - mmengine - INFO - Epoch(train) [2][3240/3757] lr: 1.000e-02 eta: 1 day, 3:13:24 time: 0.199 data_time: 0.014 memory: 5148 grad_norm: 6.3082 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2087 loss: 3.2087 2022/06/27 17:31:52 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 17:31:56 - mmengine - INFO - Epoch(train) [2][3260/3757] lr: 1.000e-02 eta: 1 day, 3:12:57 time: 0.196 data_time: 0.006 memory: 5148 grad_norm: 6.2814 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.3778 loss: 3.3778 2022/06/27 17:32:01 - mmengine - INFO - Epoch(train) [2][3280/3757] lr: 1.000e-02 eta: 1 day, 3:12:48 time: 0.205 data_time: 0.014 memory: 5148 grad_norm: 5.8050 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.3093 loss: 3.3093 2022/06/27 17:32:07 - mmengine - INFO - Epoch(train) [2][3300/3757] lr: 1.000e-02 eta: 1 day, 3:12:52 time: 0.418 data_time: 0.015 memory: 5148 grad_norm: 6.0264 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9672 loss: 2.9672 2022/06/27 17:32:12 - mmengine - INFO - Epoch(train) [2][3320/3757] lr: 1.000e-02 eta: 1 day, 3:12:37 time: 0.232 data_time: 0.006 memory: 5148 grad_norm: 6.4707 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9289 loss: 2.9289 2022/06/27 17:32:18 - mmengine - INFO - Epoch(train) [2][3340/3757] lr: 1.000e-02 eta: 1 day, 3:13:02 time: 0.203 data_time: 0.012 memory: 5148 grad_norm: 5.6882 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1946 loss: 3.1946 2022/06/27 17:32:24 - mmengine - INFO - Epoch(train) [2][3360/3757] lr: 1.000e-02 eta: 1 day, 3:13:26 time: 1.430 data_time: 0.014 memory: 5148 grad_norm: 6.7247 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9853 loss: 2.9853 2022/06/27 17:32:28 - mmengine - INFO - Epoch(train) [2][3380/3757] lr: 1.000e-02 eta: 1 day, 3:12:42 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 6.3716 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1248 loss: 3.1248 2022/06/27 17:32:34 - mmengine - INFO - Epoch(train) [2][3400/3757] lr: 1.000e-02 eta: 1 day, 3:12:40 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 5.9789 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4129 loss: 3.4129 2022/06/27 17:32:39 - mmengine - INFO - Epoch(train) [2][3420/3757] lr: 1.000e-02 eta: 1 day, 3:12:17 time: 0.860 data_time: 0.010 memory: 5148 grad_norm: 5.8107 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4795 loss: 3.4795 2022/06/27 17:32:44 - mmengine - INFO - Epoch(train) [2][3440/3757] lr: 1.000e-02 eta: 1 day, 3:11:51 time: 0.198 data_time: 0.017 memory: 5148 grad_norm: 6.5454 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.8238 loss: 2.8238 2022/06/27 17:32:49 - mmengine - INFO - Epoch(train) [2][3460/3757] lr: 1.000e-02 eta: 1 day, 3:12:08 time: 0.198 data_time: 0.013 memory: 5148 grad_norm: 6.3234 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2367 loss: 3.2367 2022/06/27 17:32:54 - mmengine - INFO - Epoch(train) [2][3480/3757] lr: 1.000e-02 eta: 1 day, 3:11:34 time: 0.208 data_time: 0.011 memory: 5148 grad_norm: 6.2240 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8616 loss: 2.8616 2022/06/27 17:32:59 - mmengine - INFO - Epoch(train) [2][3500/3757] lr: 1.000e-02 eta: 1 day, 3:10:59 time: 0.203 data_time: 0.005 memory: 5148 grad_norm: 6.1280 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0654 loss: 3.0654 2022/06/27 17:33:05 - mmengine - INFO - Epoch(train) [2][3520/3757] lr: 1.000e-02 eta: 1 day, 3:11:13 time: 0.202 data_time: 0.009 memory: 5148 grad_norm: 6.4166 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7611 loss: 2.7611 2022/06/27 17:33:10 - mmengine - INFO - Epoch(train) [2][3540/3757] lr: 1.000e-02 eta: 1 day, 3:11:30 time: 0.937 data_time: 0.006 memory: 5148 grad_norm: 6.0792 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2864 loss: 3.2864 2022/06/27 17:33:15 - mmengine - INFO - Epoch(train) [2][3560/3757] lr: 1.000e-02 eta: 1 day, 3:11:01 time: 0.213 data_time: 0.006 memory: 5148 grad_norm: 6.1542 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1683 loss: 3.1683 2022/06/27 17:33:21 - mmengine - INFO - Epoch(train) [2][3580/3757] lr: 1.000e-02 eta: 1 day, 3:11:07 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 5.8711 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2449 loss: 3.2449 2022/06/27 17:33:26 - mmengine - INFO - Epoch(train) [2][3600/3757] lr: 1.000e-02 eta: 1 day, 3:10:56 time: 0.545 data_time: 0.006 memory: 5148 grad_norm: 5.9275 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7507 loss: 2.7507 2022/06/27 17:33:31 - mmengine - INFO - Epoch(train) [2][3620/3757] lr: 1.000e-02 eta: 1 day, 3:10:18 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 6.6278 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1600 loss: 3.1600 2022/06/27 17:33:37 - mmengine - INFO - Epoch(train) [2][3640/3757] lr: 1.000e-02 eta: 1 day, 3:10:44 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 5.9963 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2698 loss: 3.2698 2022/06/27 17:33:41 - mmengine - INFO - Epoch(train) [2][3660/3757] lr: 1.000e-02 eta: 1 day, 3:10:08 time: 0.861 data_time: 0.006 memory: 5148 grad_norm: 5.7390 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8214 loss: 2.8214 2022/06/27 17:33:46 - mmengine - INFO - Epoch(train) [2][3680/3757] lr: 1.000e-02 eta: 1 day, 3:09:38 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 6.6307 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1940 loss: 3.1940 2022/06/27 17:33:52 - mmengine - INFO - Epoch(train) [2][3700/3757] lr: 1.000e-02 eta: 1 day, 3:09:43 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 6.4042 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.4720 loss: 3.4720 2022/06/27 17:33:57 - mmengine - INFO - Epoch(train) [2][3720/3757] lr: 1.000e-02 eta: 1 day, 3:09:59 time: 0.926 data_time: 0.010 memory: 5148 grad_norm: 6.1805 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.3399 loss: 3.3399 2022/06/27 17:34:02 - mmengine - INFO - Epoch(train) [2][3740/3757] lr: 1.000e-02 eta: 1 day, 3:09:26 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 5.9118 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4987 loss: 3.4987 2022/06/27 17:34:05 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 17:34:12 - mmengine - INFO - Epoch(val) [2][20/310] eta: 0:01:13 time: 0.264 data_time: 0.189 memory: 5148 2022/06/27 17:34:17 - mmengine - INFO - Epoch(val) [2][40/310] eta: 0:01:01 time: 0.076 data_time: 0.005 memory: 1367 2022/06/27 17:34:23 - mmengine - INFO - Epoch(val) [2][60/310] eta: 0:01:02 time: 0.475 data_time: 0.403 memory: 1367 2022/06/27 17:34:27 - mmengine - INFO - Epoch(val) [2][80/310] eta: 0:00:57 time: 0.082 data_time: 0.005 memory: 1367 2022/06/27 17:34:33 - mmengine - INFO - Epoch(val) [2][100/310] eta: 0:00:55 time: 0.509 data_time: 0.433 memory: 1367 2022/06/27 17:34:38 - mmengine - INFO - Epoch(val) [2][120/310] eta: 0:00:44 time: 0.082 data_time: 0.007 memory: 1367 2022/06/27 17:34:44 - mmengine - INFO - Epoch(val) [2][140/310] eta: 0:01:06 time: 1.629 data_time: 1.557 memory: 1367 2022/06/27 17:34:49 - mmengine - INFO - Epoch(val) [2][160/310] eta: 0:00:33 time: 0.076 data_time: 0.005 memory: 1367 2022/06/27 17:34:55 - mmengine - INFO - Epoch(val) [2][180/310] eta: 0:00:49 time: 1.452 data_time: 1.379 memory: 1367 2022/06/27 17:34:59 - mmengine - INFO - Epoch(val) [2][200/310] eta: 0:00:24 time: 0.076 data_time: 0.005 memory: 1367 2022/06/27 17:35:05 - mmengine - INFO - Epoch(val) [2][220/310] eta: 0:00:33 time: 1.298 data_time: 1.222 memory: 1367 2022/06/27 17:35:10 - mmengine - INFO - Epoch(val) [2][240/310] eta: 0:00:15 time: 0.081 data_time: 0.005 memory: 1367 2022/06/27 17:35:16 - mmengine - INFO - Epoch(val) [2][260/310] eta: 0:00:16 time: 1.372 data_time: 1.295 memory: 1367 2022/06/27 17:35:20 - mmengine - INFO - Epoch(val) [2][280/310] eta: 0:00:06 time: 0.081 data_time: 0.007 memory: 1367 2022/06/27 17:35:26 - mmengine - INFO - Epoch(val) [2][300/310] eta: 0:00:03 time: 1.054 data_time: 0.983 memory: 1367 2022/06/27 17:35:29 - mmengine - INFO - Epoch(val) [2][310/310] acc/top1: 0.3588 acc/top5: 0.6425 acc/mean1: 0.3586 2022/06/27 17:35:37 - mmengine - INFO - Epoch(train) [3][20/3757] lr: 1.000e-02 eta: 1 day, 3:09:37 time: 0.190 data_time: 0.007 memory: 5148 grad_norm: 6.0690 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9764 loss: 2.9764 2022/06/27 17:35:43 - mmengine - INFO - Epoch(train) [3][40/3757] lr: 1.000e-02 eta: 1 day, 3:10:31 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 5.4210 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0846 loss: 3.0846 2022/06/27 17:35:48 - mmengine - INFO - Epoch(train) [3][60/3757] lr: 1.000e-02 eta: 1 day, 3:09:56 time: 0.188 data_time: 0.007 memory: 5148 grad_norm: 5.9490 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2070 loss: 3.2070 2022/06/27 17:35:55 - mmengine - INFO - Epoch(train) [3][80/3757] lr: 1.000e-02 eta: 1 day, 3:10:46 time: 0.189 data_time: 0.007 memory: 5148 grad_norm: 5.9717 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.3538 loss: 3.3538 2022/06/27 17:35:59 - mmengine - INFO - Epoch(train) [3][100/3757] lr: 1.000e-02 eta: 1 day, 3:09:57 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.8482 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1369 loss: 3.1369 2022/06/27 17:36:04 - mmengine - INFO - Epoch(train) [3][120/3757] lr: 1.000e-02 eta: 1 day, 3:09:43 time: 0.190 data_time: 0.011 memory: 5148 grad_norm: 6.0545 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9774 loss: 2.9774 2022/06/27 17:36:09 - mmengine - INFO - Epoch(train) [3][140/3757] lr: 1.000e-02 eta: 1 day, 3:09:28 time: 0.191 data_time: 0.010 memory: 5148 grad_norm: 6.0960 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2629 loss: 3.2629 2022/06/27 17:36:15 - mmengine - INFO - Epoch(train) [3][160/3757] lr: 1.000e-02 eta: 1 day, 3:09:40 time: 0.201 data_time: 0.005 memory: 5148 grad_norm: 6.1985 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5606 loss: 2.5606 2022/06/27 17:36:20 - mmengine - INFO - Epoch(train) [3][180/3757] lr: 1.000e-02 eta: 1 day, 3:09:04 time: 0.202 data_time: 0.009 memory: 5148 grad_norm: 6.4265 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3178 loss: 3.3178 2022/06/27 17:36:25 - mmengine - INFO - Epoch(train) [3][200/3757] lr: 1.000e-02 eta: 1 day, 3:09:25 time: 0.207 data_time: 0.017 memory: 5148 grad_norm: 5.9403 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6725 loss: 2.6725 2022/06/27 17:36:31 - mmengine - INFO - Epoch(train) [3][220/3757] lr: 1.000e-02 eta: 1 day, 3:09:30 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.9981 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1774 loss: 3.1774 2022/06/27 17:36:36 - mmengine - INFO - Epoch(train) [3][240/3757] lr: 1.000e-02 eta: 1 day, 3:08:57 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 5.6399 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1030 loss: 3.1030 2022/06/27 17:36:41 - mmengine - INFO - Epoch(train) [3][260/3757] lr: 1.000e-02 eta: 1 day, 3:08:59 time: 0.188 data_time: 0.010 memory: 5148 grad_norm: 5.8785 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.8807 loss: 2.8807 2022/06/27 17:36:47 - mmengine - INFO - Epoch(train) [3][280/3757] lr: 1.000e-02 eta: 1 day, 3:09:28 time: 0.196 data_time: 0.015 memory: 5148 grad_norm: 6.1025 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1900 loss: 3.1900 2022/06/27 17:36:52 - mmengine - INFO - Epoch(train) [3][300/3757] lr: 1.000e-02 eta: 1 day, 3:09:02 time: 0.198 data_time: 0.020 memory: 5148 grad_norm: 6.2100 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1041 loss: 3.1041 2022/06/27 17:36:57 - mmengine - INFO - Epoch(train) [3][320/3757] lr: 1.000e-02 eta: 1 day, 3:08:37 time: 0.188 data_time: 0.012 memory: 5148 grad_norm: 6.5646 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.3158 loss: 3.3158 2022/06/27 17:37:03 - mmengine - INFO - Epoch(train) [3][340/3757] lr: 1.000e-02 eta: 1 day, 3:08:54 time: 0.240 data_time: 0.013 memory: 5148 grad_norm: 6.4249 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3544 loss: 3.3544 2022/06/27 17:37:07 - mmengine - INFO - Epoch(train) [3][360/3757] lr: 1.000e-02 eta: 1 day, 3:08:22 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 6.2241 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5592 loss: 2.5592 2022/06/27 17:37:13 - mmengine - INFO - Epoch(train) [3][380/3757] lr: 1.000e-02 eta: 1 day, 3:08:48 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 6.3166 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9108 loss: 2.9108 2022/06/27 17:37:19 - mmengine - INFO - Epoch(train) [3][400/3757] lr: 1.000e-02 eta: 1 day, 3:08:36 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 5.9123 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.3416 loss: 3.3416 2022/06/27 17:37:24 - mmengine - INFO - Epoch(train) [3][420/3757] lr: 1.000e-02 eta: 1 day, 3:08:13 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 5.9036 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0043 loss: 3.0043 2022/06/27 17:37:28 - mmengine - INFO - Epoch(train) [3][440/3757] lr: 1.000e-02 eta: 1 day, 3:07:49 time: 0.193 data_time: 0.013 memory: 5148 grad_norm: 6.3311 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9849 loss: 2.9849 2022/06/27 17:37:34 - mmengine - INFO - Epoch(train) [3][460/3757] lr: 1.000e-02 eta: 1 day, 3:07:46 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.3959 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0937 loss: 3.0937 2022/06/27 17:37:39 - mmengine - INFO - Epoch(train) [3][480/3757] lr: 1.000e-02 eta: 1 day, 3:07:12 time: 0.191 data_time: 0.009 memory: 5148 grad_norm: 6.2556 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1878 loss: 3.1878 2022/06/27 17:37:41 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 17:37:44 - mmengine - INFO - Epoch(train) [3][500/3757] lr: 1.000e-02 eta: 1 day, 3:07:18 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 6.2589 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1247 loss: 3.1247 2022/06/27 17:37:50 - mmengine - INFO - Epoch(train) [3][520/3757] lr: 1.000e-02 eta: 1 day, 3:07:21 time: 0.204 data_time: 0.024 memory: 5148 grad_norm: 5.7152 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9485 loss: 2.9485 2022/06/27 17:37:55 - mmengine - INFO - Epoch(train) [3][540/3757] lr: 1.000e-02 eta: 1 day, 3:07:24 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 6.4382 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1084 loss: 3.1084 2022/06/27 17:38:00 - mmengine - INFO - Epoch(train) [3][560/3757] lr: 1.000e-02 eta: 1 day, 3:06:49 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 5.6025 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.0409 loss: 3.0409 2022/06/27 17:38:05 - mmengine - INFO - Epoch(train) [3][580/3757] lr: 1.000e-02 eta: 1 day, 3:06:57 time: 0.386 data_time: 0.020 memory: 5148 grad_norm: 6.4779 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0956 loss: 3.0956 2022/06/27 17:38:10 - mmengine - INFO - Epoch(train) [3][600/3757] lr: 1.000e-02 eta: 1 day, 3:06:23 time: 0.190 data_time: 0.010 memory: 5148 grad_norm: 6.2283 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.2624 loss: 3.2624 2022/06/27 17:38:16 - mmengine - INFO - Epoch(train) [3][620/3757] lr: 1.000e-02 eta: 1 day, 3:06:29 time: 0.190 data_time: 0.006 memory: 5148 grad_norm: 6.0710 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8944 loss: 2.8944 2022/06/27 17:38:21 - mmengine - INFO - Epoch(train) [3][640/3757] lr: 1.000e-02 eta: 1 day, 3:06:31 time: 0.300 data_time: 0.006 memory: 5148 grad_norm: 5.4066 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0062 loss: 3.0062 2022/06/27 17:38:26 - mmengine - INFO - Epoch(train) [3][660/3757] lr: 1.000e-02 eta: 1 day, 3:06:04 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 6.2391 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9718 loss: 2.9718 2022/06/27 17:38:31 - mmengine - INFO - Epoch(train) [3][680/3757] lr: 1.000e-02 eta: 1 day, 3:05:59 time: 0.192 data_time: 0.011 memory: 5148 grad_norm: 5.8653 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8704 loss: 2.8704 2022/06/27 17:38:37 - mmengine - INFO - Epoch(train) [3][700/3757] lr: 1.000e-02 eta: 1 day, 3:06:04 time: 0.207 data_time: 0.006 memory: 5148 grad_norm: 5.8894 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0744 loss: 3.0744 2022/06/27 17:38:42 - mmengine - INFO - Epoch(train) [3][720/3757] lr: 1.000e-02 eta: 1 day, 3:05:56 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 5.4103 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.2581 loss: 3.2581 2022/06/27 17:38:47 - mmengine - INFO - Epoch(train) [3][740/3757] lr: 1.000e-02 eta: 1 day, 3:05:41 time: 0.196 data_time: 0.013 memory: 5148 grad_norm: 6.2155 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8990 loss: 2.8990 2022/06/27 17:38:54 - mmengine - INFO - Epoch(train) [3][760/3757] lr: 1.000e-02 eta: 1 day, 3:06:30 time: 0.232 data_time: 0.006 memory: 5148 grad_norm: 6.1484 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8739 loss: 2.8739 2022/06/27 17:38:58 - mmengine - INFO - Epoch(train) [3][780/3757] lr: 1.000e-02 eta: 1 day, 3:05:32 time: 0.197 data_time: 0.014 memory: 5148 grad_norm: 5.7145 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8531 loss: 2.8531 2022/06/27 17:39:03 - mmengine - INFO - Epoch(train) [3][800/3757] lr: 1.000e-02 eta: 1 day, 3:05:28 time: 0.202 data_time: 0.014 memory: 5148 grad_norm: 6.4111 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8834 loss: 2.8834 2022/06/27 17:39:08 - mmengine - INFO - Epoch(train) [3][820/3757] lr: 1.000e-02 eta: 1 day, 3:05:18 time: 0.218 data_time: 0.007 memory: 5148 grad_norm: 6.2557 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3177 loss: 3.3177 2022/06/27 17:39:14 - mmengine - INFO - Epoch(train) [3][840/3757] lr: 1.000e-02 eta: 1 day, 3:05:18 time: 0.204 data_time: 0.015 memory: 5148 grad_norm: 5.6452 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.0528 loss: 3.0528 2022/06/27 17:39:19 - mmengine - INFO - Epoch(train) [3][860/3757] lr: 1.000e-02 eta: 1 day, 3:05:19 time: 0.200 data_time: 0.020 memory: 5148 grad_norm: 6.3238 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8697 loss: 2.8697 2022/06/27 17:39:25 - mmengine - INFO - Epoch(train) [3][880/3757] lr: 1.000e-02 eta: 1 day, 3:05:26 time: 0.226 data_time: 0.006 memory: 5148 grad_norm: 5.7676 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6227 loss: 2.6227 2022/06/27 17:39:30 - mmengine - INFO - Epoch(train) [3][900/3757] lr: 1.000e-02 eta: 1 day, 3:05:06 time: 0.221 data_time: 0.010 memory: 5148 grad_norm: 7.0345 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9427 loss: 2.9427 2022/06/27 17:39:35 - mmengine - INFO - Epoch(train) [3][920/3757] lr: 1.000e-02 eta: 1 day, 3:05:15 time: 0.194 data_time: 0.016 memory: 5148 grad_norm: 6.3290 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1231 loss: 3.1231 2022/06/27 17:39:40 - mmengine - INFO - Epoch(train) [3][940/3757] lr: 1.000e-02 eta: 1 day, 3:04:25 time: 0.199 data_time: 0.009 memory: 5148 grad_norm: 6.0111 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1811 loss: 3.1811 2022/06/27 17:39:44 - mmengine - INFO - Epoch(train) [3][960/3757] lr: 1.000e-02 eta: 1 day, 3:03:45 time: 0.201 data_time: 0.012 memory: 5148 grad_norm: 5.7314 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1263 loss: 3.1263 2022/06/27 17:39:50 - mmengine - INFO - Epoch(train) [3][980/3757] lr: 1.000e-02 eta: 1 day, 3:03:42 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 6.1457 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0550 loss: 3.0550 2022/06/27 17:39:55 - mmengine - INFO - Epoch(train) [3][1000/3757] lr: 1.000e-02 eta: 1 day, 3:03:33 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 6.5695 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1782 loss: 3.1782 2022/06/27 17:40:00 - mmengine - INFO - Epoch(train) [3][1020/3757] lr: 1.000e-02 eta: 1 day, 3:03:39 time: 0.196 data_time: 0.017 memory: 5148 grad_norm: 5.4885 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.3954 loss: 3.3954 2022/06/27 17:40:06 - mmengine - INFO - Epoch(train) [3][1040/3757] lr: 1.000e-02 eta: 1 day, 3:03:48 time: 0.190 data_time: 0.007 memory: 5148 grad_norm: 6.0739 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.7180 loss: 2.7180 2022/06/27 17:40:11 - mmengine - INFO - Epoch(train) [3][1060/3757] lr: 1.000e-02 eta: 1 day, 3:03:20 time: 0.205 data_time: 0.006 memory: 5148 grad_norm: 5.8096 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.3343 loss: 3.3343 2022/06/27 17:40:16 - mmengine - INFO - Epoch(train) [3][1080/3757] lr: 1.000e-02 eta: 1 day, 3:03:33 time: 0.189 data_time: 0.014 memory: 5148 grad_norm: 5.9020 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.6968 loss: 3.6968 2022/06/27 17:40:21 - mmengine - INFO - Epoch(train) [3][1100/3757] lr: 1.000e-02 eta: 1 day, 3:03:08 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.1664 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.2154 loss: 3.2154 2022/06/27 17:40:27 - mmengine - INFO - Epoch(train) [3][1120/3757] lr: 1.000e-02 eta: 1 day, 3:03:08 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.4024 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7439 loss: 2.7439 2022/06/27 17:40:32 - mmengine - INFO - Epoch(train) [3][1140/3757] lr: 1.000e-02 eta: 1 day, 3:03:16 time: 0.203 data_time: 0.020 memory: 5148 grad_norm: 6.2613 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8009 loss: 2.8009 2022/06/27 17:40:37 - mmengine - INFO - Epoch(train) [3][1160/3757] lr: 1.000e-02 eta: 1 day, 3:02:48 time: 0.194 data_time: 0.006 memory: 5148 grad_norm: 6.5018 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3325 loss: 3.3325 2022/06/27 17:40:43 - mmengine - INFO - Epoch(train) [3][1180/3757] lr: 1.000e-02 eta: 1 day, 3:03:12 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.2997 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0435 loss: 3.0435 2022/06/27 17:40:48 - mmengine - INFO - Epoch(train) [3][1200/3757] lr: 1.000e-02 eta: 1 day, 3:02:58 time: 0.209 data_time: 0.027 memory: 5148 grad_norm: 6.8065 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3126 loss: 3.3126 2022/06/27 17:40:53 - mmengine - INFO - Epoch(train) [3][1220/3757] lr: 1.000e-02 eta: 1 day, 3:02:49 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.6811 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9581 loss: 2.9581 2022/06/27 17:40:59 - mmengine - INFO - Epoch(train) [3][1240/3757] lr: 1.000e-02 eta: 1 day, 3:02:45 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.7606 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8991 loss: 2.8991 2022/06/27 17:41:04 - mmengine - INFO - Epoch(train) [3][1260/3757] lr: 1.000e-02 eta: 1 day, 3:02:41 time: 0.216 data_time: 0.014 memory: 5148 grad_norm: 5.7186 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1968 loss: 3.1968 2022/06/27 17:41:09 - mmengine - INFO - Epoch(train) [3][1280/3757] lr: 1.000e-02 eta: 1 day, 3:02:24 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 6.1538 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0015 loss: 3.0015 2022/06/27 17:41:15 - mmengine - INFO - Epoch(train) [3][1300/3757] lr: 1.000e-02 eta: 1 day, 3:02:47 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 6.5569 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5589 loss: 2.5589 2022/06/27 17:41:20 - mmengine - INFO - Epoch(train) [3][1320/3757] lr: 1.000e-02 eta: 1 day, 3:02:27 time: 0.216 data_time: 0.038 memory: 5148 grad_norm: 6.2736 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9349 loss: 2.9349 2022/06/27 17:41:25 - mmengine - INFO - Epoch(train) [3][1340/3757] lr: 1.000e-02 eta: 1 day, 3:01:53 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.5444 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9245 loss: 2.9245 2022/06/27 17:41:30 - mmengine - INFO - Epoch(train) [3][1360/3757] lr: 1.000e-02 eta: 1 day, 3:01:46 time: 0.194 data_time: 0.006 memory: 5148 grad_norm: 5.4782 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7265 loss: 2.7265 2022/06/27 17:41:35 - mmengine - INFO - Epoch(train) [3][1380/3757] lr: 1.000e-02 eta: 1 day, 3:01:44 time: 0.203 data_time: 0.009 memory: 5148 grad_norm: 5.3520 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9098 loss: 2.9098 2022/06/27 17:41:40 - mmengine - INFO - Epoch(train) [3][1400/3757] lr: 1.000e-02 eta: 1 day, 3:01:26 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.8200 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9934 loss: 2.9934 2022/06/27 17:41:46 - mmengine - INFO - Epoch(train) [3][1420/3757] lr: 1.000e-02 eta: 1 day, 3:01:21 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 5.7552 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9579 loss: 2.9579 2022/06/27 17:41:51 - mmengine - INFO - Epoch(train) [3][1440/3757] lr: 1.000e-02 eta: 1 day, 3:01:15 time: 0.414 data_time: 0.025 memory: 5148 grad_norm: 6.0962 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1434 loss: 3.1434 2022/06/27 17:41:56 - mmengine - INFO - Epoch(train) [3][1460/3757] lr: 1.000e-02 eta: 1 day, 3:00:55 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.2788 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.0952 loss: 3.0952 2022/06/27 17:42:01 - mmengine - INFO - Epoch(train) [3][1480/3757] lr: 1.000e-02 eta: 1 day, 3:00:49 time: 0.190 data_time: 0.012 memory: 5148 grad_norm: 5.7806 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.0887 loss: 3.0887 2022/06/27 17:42:03 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 17:42:07 - mmengine - INFO - Epoch(train) [3][1500/3757] lr: 1.000e-02 eta: 1 day, 3:00:46 time: 0.591 data_time: 0.013 memory: 5148 grad_norm: 5.0653 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8292 loss: 2.8292 2022/06/27 17:42:11 - mmengine - INFO - Epoch(train) [3][1520/3757] lr: 1.000e-02 eta: 1 day, 3:00:20 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.6791 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2301 loss: 3.2301 2022/06/27 17:42:17 - mmengine - INFO - Epoch(train) [3][1540/3757] lr: 1.000e-02 eta: 1 day, 3:00:18 time: 0.185 data_time: 0.012 memory: 5148 grad_norm: 5.7884 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.3203 loss: 3.3203 2022/06/27 17:42:22 - mmengine - INFO - Epoch(train) [3][1560/3757] lr: 1.000e-02 eta: 1 day, 3:00:29 time: 0.871 data_time: 0.010 memory: 5148 grad_norm: 6.1114 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8331 loss: 2.8331 2022/06/27 17:42:27 - mmengine - INFO - Epoch(train) [3][1580/3757] lr: 1.000e-02 eta: 1 day, 3:00:09 time: 0.273 data_time: 0.007 memory: 5148 grad_norm: 6.2861 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8729 loss: 2.8729 2022/06/27 17:42:33 - mmengine - INFO - Epoch(train) [3][1600/3757] lr: 1.000e-02 eta: 1 day, 3:00:14 time: 0.211 data_time: 0.030 memory: 5148 grad_norm: 5.3094 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1778 loss: 3.1778 2022/06/27 17:42:39 - mmengine - INFO - Epoch(train) [3][1620/3757] lr: 1.000e-02 eta: 1 day, 3:00:24 time: 0.935 data_time: 0.013 memory: 5148 grad_norm: 6.1718 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8445 loss: 2.8445 2022/06/27 17:42:44 - mmengine - INFO - Epoch(train) [3][1640/3757] lr: 1.000e-02 eta: 1 day, 3:00:12 time: 0.561 data_time: 0.007 memory: 5148 grad_norm: 6.1688 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8001 loss: 2.8001 2022/06/27 17:42:49 - mmengine - INFO - Epoch(train) [3][1660/3757] lr: 1.000e-02 eta: 1 day, 2:59:56 time: 0.212 data_time: 0.032 memory: 5148 grad_norm: 6.0342 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9099 loss: 2.9099 2022/06/27 17:42:54 - mmengine - INFO - Epoch(train) [3][1680/3757] lr: 1.000e-02 eta: 1 day, 2:59:47 time: 0.307 data_time: 0.012 memory: 5148 grad_norm: 5.8912 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2145 loss: 3.2145 2022/06/27 17:43:00 - mmengine - INFO - Epoch(train) [3][1700/3757] lr: 1.000e-02 eta: 1 day, 2:59:53 time: 0.208 data_time: 0.006 memory: 5148 grad_norm: 5.5187 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0628 loss: 3.0628 2022/06/27 17:43:05 - mmengine - INFO - Epoch(train) [3][1720/3757] lr: 1.000e-02 eta: 1 day, 2:59:50 time: 0.185 data_time: 0.011 memory: 5148 grad_norm: 6.0231 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4821 loss: 2.4821 2022/06/27 17:43:10 - mmengine - INFO - Epoch(train) [3][1740/3757] lr: 1.000e-02 eta: 1 day, 2:59:22 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 6.1556 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8353 loss: 2.8353 2022/06/27 17:43:15 - mmengine - INFO - Epoch(train) [3][1760/3757] lr: 1.000e-02 eta: 1 day, 2:59:13 time: 0.215 data_time: 0.012 memory: 5148 grad_norm: 5.8903 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1326 loss: 3.1326 2022/06/27 17:43:20 - mmengine - INFO - Epoch(train) [3][1780/3757] lr: 1.000e-02 eta: 1 day, 2:59:17 time: 0.193 data_time: 0.009 memory: 5148 grad_norm: 6.1252 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7174 loss: 2.7174 2022/06/27 17:43:26 - mmengine - INFO - Epoch(train) [3][1800/3757] lr: 1.000e-02 eta: 1 day, 2:59:22 time: 0.623 data_time: 0.010 memory: 5148 grad_norm: 6.6527 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8559 loss: 2.8559 2022/06/27 17:43:31 - mmengine - INFO - Epoch(train) [3][1820/3757] lr: 1.000e-02 eta: 1 day, 2:58:59 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 6.3369 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1824 loss: 3.1824 2022/06/27 17:43:37 - mmengine - INFO - Epoch(train) [3][1840/3757] lr: 1.000e-02 eta: 1 day, 2:59:12 time: 0.207 data_time: 0.035 memory: 5148 grad_norm: 5.9892 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4132 loss: 3.4132 2022/06/27 17:43:42 - mmengine - INFO - Epoch(train) [3][1860/3757] lr: 1.000e-02 eta: 1 day, 2:59:09 time: 0.676 data_time: 0.010 memory: 5148 grad_norm: 5.8257 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8493 loss: 2.8493 2022/06/27 17:43:47 - mmengine - INFO - Epoch(train) [3][1880/3757] lr: 1.000e-02 eta: 1 day, 2:58:47 time: 0.187 data_time: 0.006 memory: 5148 grad_norm: 5.9890 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9785 loss: 2.9785 2022/06/27 17:43:52 - mmengine - INFO - Epoch(train) [3][1900/3757] lr: 1.000e-02 eta: 1 day, 2:58:50 time: 0.205 data_time: 0.009 memory: 5148 grad_norm: 5.5719 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1633 loss: 3.1633 2022/06/27 17:43:58 - mmengine - INFO - Epoch(train) [3][1920/3757] lr: 1.000e-02 eta: 1 day, 2:58:53 time: 0.860 data_time: 0.009 memory: 5148 grad_norm: 6.4220 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1421 loss: 3.1421 2022/06/27 17:44:03 - mmengine - INFO - Epoch(train) [3][1940/3757] lr: 1.000e-02 eta: 1 day, 2:58:33 time: 0.204 data_time: 0.009 memory: 5148 grad_norm: 6.2276 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.9385 loss: 2.9385 2022/06/27 17:44:08 - mmengine - INFO - Epoch(train) [3][1960/3757] lr: 1.000e-02 eta: 1 day, 2:58:39 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.3082 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8861 loss: 2.8861 2022/06/27 17:44:14 - mmengine - INFO - Epoch(train) [3][1980/3757] lr: 1.000e-02 eta: 1 day, 2:58:37 time: 0.867 data_time: 0.027 memory: 5148 grad_norm: 5.6368 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9991 loss: 2.9991 2022/06/27 17:44:19 - mmengine - INFO - Epoch(train) [3][2000/3757] lr: 1.000e-02 eta: 1 day, 2:58:21 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 6.0737 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6224 loss: 2.6224 2022/06/27 17:44:25 - mmengine - INFO - Epoch(train) [3][2020/3757] lr: 1.000e-02 eta: 1 day, 2:58:38 time: 0.191 data_time: 0.009 memory: 5148 grad_norm: 5.8125 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9353 loss: 2.9353 2022/06/27 17:44:30 - mmengine - INFO - Epoch(train) [3][2040/3757] lr: 1.000e-02 eta: 1 day, 2:58:22 time: 0.708 data_time: 0.006 memory: 5148 grad_norm: 5.7438 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7823 loss: 2.7823 2022/06/27 17:44:35 - mmengine - INFO - Epoch(train) [3][2060/3757] lr: 1.000e-02 eta: 1 day, 2:58:01 time: 0.188 data_time: 0.007 memory: 5148 grad_norm: 5.7906 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9230 loss: 2.9230 2022/06/27 17:44:40 - mmengine - INFO - Epoch(train) [3][2080/3757] lr: 1.000e-02 eta: 1 day, 2:58:06 time: 0.191 data_time: 0.015 memory: 5148 grad_norm: 6.0484 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1355 loss: 3.1355 2022/06/27 17:44:46 - mmengine - INFO - Epoch(train) [3][2100/3757] lr: 1.000e-02 eta: 1 day, 2:58:01 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 5.8641 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9353 loss: 2.9353 2022/06/27 17:44:50 - mmengine - INFO - Epoch(train) [3][2120/3757] lr: 1.000e-02 eta: 1 day, 2:57:37 time: 0.226 data_time: 0.054 memory: 5148 grad_norm: 5.9391 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1569 loss: 3.1569 2022/06/27 17:44:56 - mmengine - INFO - Epoch(train) [3][2140/3757] lr: 1.000e-02 eta: 1 day, 2:57:49 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.8757 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9513 loss: 2.9513 2022/06/27 17:45:02 - mmengine - INFO - Epoch(train) [3][2160/3757] lr: 1.000e-02 eta: 1 day, 2:58:00 time: 1.193 data_time: 0.017 memory: 5148 grad_norm: 6.1031 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1429 loss: 3.1429 2022/06/27 17:45:07 - mmengine - INFO - Epoch(train) [3][2180/3757] lr: 1.000e-02 eta: 1 day, 2:57:48 time: 0.191 data_time: 0.011 memory: 5148 grad_norm: 5.7871 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9345 loss: 2.9345 2022/06/27 17:45:12 - mmengine - INFO - Epoch(train) [3][2200/3757] lr: 1.000e-02 eta: 1 day, 2:57:45 time: 0.195 data_time: 0.016 memory: 5148 grad_norm: 5.4299 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6502 loss: 2.6502 2022/06/27 17:45:18 - mmengine - INFO - Epoch(train) [3][2220/3757] lr: 1.000e-02 eta: 1 day, 2:57:34 time: 0.646 data_time: 0.019 memory: 5148 grad_norm: 5.6783 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3335 loss: 2.3335 2022/06/27 17:45:23 - mmengine - INFO - Epoch(train) [3][2240/3757] lr: 1.000e-02 eta: 1 day, 2:57:31 time: 0.197 data_time: 0.019 memory: 5148 grad_norm: 7.2105 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8676 loss: 2.8676 2022/06/27 17:45:28 - mmengine - INFO - Epoch(train) [3][2260/3757] lr: 1.000e-02 eta: 1 day, 2:57:31 time: 0.200 data_time: 0.009 memory: 5148 grad_norm: 5.7882 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.2001 loss: 3.2001 2022/06/27 17:45:34 - mmengine - INFO - Epoch(train) [3][2280/3757] lr: 1.000e-02 eta: 1 day, 2:57:28 time: 0.828 data_time: 0.012 memory: 5148 grad_norm: 6.4192 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 3.1391 loss: 3.1391 2022/06/27 17:45:39 - mmengine - INFO - Epoch(train) [3][2300/3757] lr: 1.000e-02 eta: 1 day, 2:57:12 time: 0.197 data_time: 0.022 memory: 5148 grad_norm: 5.6116 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9547 loss: 2.9547 2022/06/27 17:45:45 - mmengine - INFO - Epoch(train) [3][2320/3757] lr: 1.000e-02 eta: 1 day, 2:57:28 time: 0.187 data_time: 0.007 memory: 5148 grad_norm: 6.2674 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1055 loss: 3.1055 2022/06/27 17:45:50 - mmengine - INFO - Epoch(train) [3][2340/3757] lr: 1.000e-02 eta: 1 day, 2:57:32 time: 1.015 data_time: 0.012 memory: 5148 grad_norm: 5.9804 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6965 loss: 2.6965 2022/06/27 17:45:55 - mmengine - INFO - Epoch(train) [3][2360/3757] lr: 1.000e-02 eta: 1 day, 2:57:25 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 6.6711 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.9698 loss: 2.9698 2022/06/27 17:46:00 - mmengine - INFO - Epoch(train) [3][2380/3757] lr: 1.000e-02 eta: 1 day, 2:57:00 time: 0.192 data_time: 0.008 memory: 5148 grad_norm: 5.9977 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7269 loss: 2.7269 2022/06/27 17:46:07 - mmengine - INFO - Epoch(train) [3][2400/3757] lr: 1.000e-02 eta: 1 day, 2:57:35 time: 1.749 data_time: 0.011 memory: 5148 grad_norm: 5.9388 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.0091 loss: 3.0091 2022/06/27 17:46:11 - mmengine - INFO - Epoch(train) [3][2420/3757] lr: 1.000e-02 eta: 1 day, 2:57:04 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.3108 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8738 loss: 2.8738 2022/06/27 17:46:17 - mmengine - INFO - Epoch(train) [3][2440/3757] lr: 1.000e-02 eta: 1 day, 2:56:59 time: 0.201 data_time: 0.015 memory: 5148 grad_norm: 5.3313 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7410 loss: 2.7410 2022/06/27 17:46:22 - mmengine - INFO - Epoch(train) [3][2460/3757] lr: 1.000e-02 eta: 1 day, 2:57:00 time: 0.716 data_time: 0.006 memory: 5148 grad_norm: 5.5342 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9730 loss: 2.9730 2022/06/27 17:46:27 - mmengine - INFO - Epoch(train) [3][2480/3757] lr: 1.000e-02 eta: 1 day, 2:56:28 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.4627 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.1993 loss: 3.1993 2022/06/27 17:46:28 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 17:46:32 - mmengine - INFO - Epoch(train) [3][2500/3757] lr: 1.000e-02 eta: 1 day, 2:56:33 time: 0.194 data_time: 0.014 memory: 5148 grad_norm: 6.1078 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.7192 loss: 2.7192 2022/06/27 17:46:38 - mmengine - INFO - Epoch(train) [3][2520/3757] lr: 1.000e-02 eta: 1 day, 2:56:32 time: 0.858 data_time: 0.011 memory: 5148 grad_norm: 6.3465 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9691 loss: 2.9691 2022/06/27 17:46:42 - mmengine - INFO - Epoch(train) [3][2540/3757] lr: 1.000e-02 eta: 1 day, 2:56:04 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 5.6876 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9839 loss: 2.9839 2022/06/27 17:46:48 - mmengine - INFO - Epoch(train) [3][2560/3757] lr: 1.000e-02 eta: 1 day, 2:55:59 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 5.4978 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7626 loss: 2.7626 2022/06/27 17:46:53 - mmengine - INFO - Epoch(train) [3][2580/3757] lr: 1.000e-02 eta: 1 day, 2:55:45 time: 0.476 data_time: 0.006 memory: 5148 grad_norm: 5.6732 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.9255 loss: 2.9255 2022/06/27 17:46:58 - mmengine - INFO - Epoch(train) [3][2600/3757] lr: 1.000e-02 eta: 1 day, 2:55:40 time: 0.191 data_time: 0.006 memory: 5148 grad_norm: 6.3020 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4658 loss: 3.4658 2022/06/27 17:47:04 - mmengine - INFO - Epoch(train) [3][2620/3757] lr: 1.000e-02 eta: 1 day, 2:55:49 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 5.8369 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.0577 loss: 3.0577 2022/06/27 17:47:09 - mmengine - INFO - Epoch(train) [3][2640/3757] lr: 1.000e-02 eta: 1 day, 2:55:56 time: 1.057 data_time: 0.006 memory: 5148 grad_norm: 6.4049 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6939 loss: 2.6939 2022/06/27 17:47:14 - mmengine - INFO - Epoch(train) [3][2660/3757] lr: 1.000e-02 eta: 1 day, 2:55:40 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.6220 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7502 loss: 2.7502 2022/06/27 17:47:20 - mmengine - INFO - Epoch(train) [3][2680/3757] lr: 1.000e-02 eta: 1 day, 2:55:38 time: 0.191 data_time: 0.019 memory: 5148 grad_norm: 5.9099 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1306 loss: 3.1306 2022/06/27 17:47:25 - mmengine - INFO - Epoch(train) [3][2700/3757] lr: 1.000e-02 eta: 1 day, 2:55:48 time: 0.626 data_time: 0.006 memory: 5148 grad_norm: 6.3402 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.5346 loss: 2.5346 2022/06/27 17:47:31 - mmengine - INFO - Epoch(train) [3][2720/3757] lr: 1.000e-02 eta: 1 day, 2:55:40 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 6.3927 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6482 loss: 2.6482 2022/06/27 17:47:36 - mmengine - INFO - Epoch(train) [3][2740/3757] lr: 1.000e-02 eta: 1 day, 2:55:30 time: 0.196 data_time: 0.017 memory: 5148 grad_norm: 5.6469 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9957 loss: 2.9957 2022/06/27 17:47:41 - mmengine - INFO - Epoch(train) [3][2760/3757] lr: 1.000e-02 eta: 1 day, 2:55:27 time: 0.286 data_time: 0.006 memory: 5148 grad_norm: 5.6120 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0349 loss: 3.0349 2022/06/27 17:47:47 - mmengine - INFO - Epoch(train) [3][2780/3757] lr: 1.000e-02 eta: 1 day, 2:55:32 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 6.3358 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3465 loss: 2.3465 2022/06/27 17:47:52 - mmengine - INFO - Epoch(train) [3][2800/3757] lr: 1.000e-02 eta: 1 day, 2:55:12 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 5.7450 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9602 loss: 2.9602 2022/06/27 17:47:57 - mmengine - INFO - Epoch(train) [3][2820/3757] lr: 1.000e-02 eta: 1 day, 2:55:02 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 5.5743 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8482 loss: 2.8482 2022/06/27 17:48:02 - mmengine - INFO - Epoch(train) [3][2840/3757] lr: 1.000e-02 eta: 1 day, 2:54:56 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 5.7229 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0405 loss: 3.0405 2022/06/27 17:48:07 - mmengine - INFO - Epoch(train) [3][2860/3757] lr: 1.000e-02 eta: 1 day, 2:54:48 time: 0.200 data_time: 0.009 memory: 5148 grad_norm: 6.1603 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0585 loss: 3.0585 2022/06/27 17:48:13 - mmengine - INFO - Epoch(train) [3][2880/3757] lr: 1.000e-02 eta: 1 day, 2:54:47 time: 0.345 data_time: 0.007 memory: 5148 grad_norm: 5.9741 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3215 loss: 2.3215 2022/06/27 17:48:18 - mmengine - INFO - Epoch(train) [3][2900/3757] lr: 1.000e-02 eta: 1 day, 2:54:30 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.6700 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4813 loss: 2.4813 2022/06/27 17:48:23 - mmengine - INFO - Epoch(train) [3][2920/3757] lr: 1.000e-02 eta: 1 day, 2:54:34 time: 0.238 data_time: 0.014 memory: 5148 grad_norm: 6.2083 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0319 loss: 3.0319 2022/06/27 17:48:29 - mmengine - INFO - Epoch(train) [3][2940/3757] lr: 1.000e-02 eta: 1 day, 2:54:28 time: 0.811 data_time: 0.006 memory: 5148 grad_norm: 6.8259 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9015 loss: 2.9015 2022/06/27 17:48:33 - mmengine - INFO - Epoch(train) [3][2960/3757] lr: 1.000e-02 eta: 1 day, 2:54:02 time: 0.233 data_time: 0.007 memory: 5148 grad_norm: 5.8665 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.2438 loss: 3.2438 2022/06/27 17:48:39 - mmengine - INFO - Epoch(train) [3][2980/3757] lr: 1.000e-02 eta: 1 day, 2:54:07 time: 0.189 data_time: 0.010 memory: 5148 grad_norm: 5.3295 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9488 loss: 2.9488 2022/06/27 17:48:44 - mmengine - INFO - Epoch(train) [3][3000/3757] lr: 1.000e-02 eta: 1 day, 2:54:01 time: 0.654 data_time: 0.012 memory: 5148 grad_norm: 5.8341 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0091 loss: 3.0091 2022/06/27 17:48:49 - mmengine - INFO - Epoch(train) [3][3020/3757] lr: 1.000e-02 eta: 1 day, 2:53:49 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.6566 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9293 loss: 2.9293 2022/06/27 17:48:55 - mmengine - INFO - Epoch(train) [3][3040/3757] lr: 1.000e-02 eta: 1 day, 2:53:56 time: 0.197 data_time: 0.012 memory: 5148 grad_norm: 5.7944 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9342 loss: 2.9342 2022/06/27 17:49:00 - mmengine - INFO - Epoch(train) [3][3060/3757] lr: 1.000e-02 eta: 1 day, 2:53:52 time: 0.813 data_time: 0.006 memory: 5148 grad_norm: 6.0687 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1277 loss: 3.1277 2022/06/27 17:49:06 - mmengine - INFO - Epoch(train) [3][3080/3757] lr: 1.000e-02 eta: 1 day, 2:53:49 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.2180 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1049 loss: 3.1049 2022/06/27 17:49:11 - mmengine - INFO - Epoch(train) [3][3100/3757] lr: 1.000e-02 eta: 1 day, 2:53:33 time: 0.196 data_time: 0.015 memory: 5148 grad_norm: 6.1876 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.3383 loss: 3.3383 2022/06/27 17:49:16 - mmengine - INFO - Epoch(train) [3][3120/3757] lr: 1.000e-02 eta: 1 day, 2:53:39 time: 0.536 data_time: 0.005 memory: 5148 grad_norm: 5.7960 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4711 loss: 2.4711 2022/06/27 17:49:21 - mmengine - INFO - Epoch(train) [3][3140/3757] lr: 1.000e-02 eta: 1 day, 2:53:27 time: 0.193 data_time: 0.006 memory: 5148 grad_norm: 5.9203 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7984 loss: 2.7984 2022/06/27 17:49:27 - mmengine - INFO - Epoch(train) [3][3160/3757] lr: 1.000e-02 eta: 1 day, 2:53:23 time: 0.212 data_time: 0.010 memory: 5148 grad_norm: 6.3122 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1260 loss: 3.1260 2022/06/27 17:49:31 - mmengine - INFO - Epoch(train) [3][3180/3757] lr: 1.000e-02 eta: 1 day, 2:52:55 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 5.7351 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7056 loss: 2.7056 2022/06/27 17:49:37 - mmengine - INFO - Epoch(train) [3][3200/3757] lr: 1.000e-02 eta: 1 day, 2:52:52 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.1755 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2862 loss: 3.2862 2022/06/27 17:49:43 - mmengine - INFO - Epoch(train) [3][3220/3757] lr: 1.000e-02 eta: 1 day, 2:53:04 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 5.7091 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0972 loss: 3.0972 2022/06/27 17:49:47 - mmengine - INFO - Epoch(train) [3][3240/3757] lr: 1.000e-02 eta: 1 day, 2:52:41 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 6.3393 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6211 loss: 2.6211 2022/06/27 17:49:53 - mmengine - INFO - Epoch(train) [3][3260/3757] lr: 1.000e-02 eta: 1 day, 2:52:50 time: 0.189 data_time: 0.006 memory: 5148 grad_norm: 5.8327 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6222 loss: 2.6222 2022/06/27 17:49:59 - mmengine - INFO - Epoch(train) [3][3280/3757] lr: 1.000e-02 eta: 1 day, 2:53:02 time: 0.213 data_time: 0.006 memory: 5148 grad_norm: 5.4257 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9555 loss: 2.9555 2022/06/27 17:50:04 - mmengine - INFO - Epoch(train) [3][3300/3757] lr: 1.000e-02 eta: 1 day, 2:52:43 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.7022 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8246 loss: 2.8246 2022/06/27 17:50:09 - mmengine - INFO - Epoch(train) [3][3320/3757] lr: 1.000e-02 eta: 1 day, 2:52:49 time: 0.192 data_time: 0.006 memory: 5148 grad_norm: 5.4194 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.9631 loss: 2.9631 2022/06/27 17:50:16 - mmengine - INFO - Epoch(train) [3][3340/3757] lr: 1.000e-02 eta: 1 day, 2:53:08 time: 0.222 data_time: 0.005 memory: 5148 grad_norm: 6.4656 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3848 loss: 3.3848 2022/06/27 17:50:20 - mmengine - INFO - Epoch(train) [3][3360/3757] lr: 1.000e-02 eta: 1 day, 2:52:26 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.3260 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9757 loss: 2.9757 2022/06/27 17:50:25 - mmengine - INFO - Epoch(train) [3][3380/3757] lr: 1.000e-02 eta: 1 day, 2:52:30 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.2210 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8343 loss: 2.8343 2022/06/27 17:50:31 - mmengine - INFO - Epoch(train) [3][3400/3757] lr: 1.000e-02 eta: 1 day, 2:52:28 time: 0.236 data_time: 0.006 memory: 5148 grad_norm: 5.4094 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7906 loss: 2.7906 2022/06/27 17:50:35 - mmengine - INFO - Epoch(train) [3][3420/3757] lr: 1.000e-02 eta: 1 day, 2:51:50 time: 0.192 data_time: 0.006 memory: 5148 grad_norm: 6.0548 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9282 loss: 2.9282 2022/06/27 17:50:41 - mmengine - INFO - Epoch(train) [3][3440/3757] lr: 1.000e-02 eta: 1 day, 2:51:56 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 6.4586 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.1504 loss: 3.1504 2022/06/27 17:50:46 - mmengine - INFO - Epoch(train) [3][3460/3757] lr: 1.000e-02 eta: 1 day, 2:52:01 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 5.6206 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7805 loss: 2.7805 2022/06/27 17:50:51 - mmengine - INFO - Epoch(train) [3][3480/3757] lr: 1.000e-02 eta: 1 day, 2:51:36 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 6.1183 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0083 loss: 3.0083 2022/06/27 17:50:53 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 17:50:57 - mmengine - INFO - Epoch(train) [3][3500/3757] lr: 1.000e-02 eta: 1 day, 2:51:42 time: 0.230 data_time: 0.006 memory: 5148 grad_norm: 6.1342 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7827 loss: 2.7827 2022/06/27 17:51:02 - mmengine - INFO - Epoch(train) [3][3520/3757] lr: 1.000e-02 eta: 1 day, 2:51:51 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 5.6370 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2415 loss: 3.2415 2022/06/27 17:51:07 - mmengine - INFO - Epoch(train) [3][3540/3757] lr: 1.000e-02 eta: 1 day, 2:51:24 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 5.4758 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2377 loss: 3.2377 2022/06/27 17:51:12 - mmengine - INFO - Epoch(train) [3][3560/3757] lr: 1.000e-02 eta: 1 day, 2:51:16 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.6910 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1371 loss: 3.1371 2022/06/27 17:51:18 - mmengine - INFO - Epoch(train) [3][3580/3757] lr: 1.000e-02 eta: 1 day, 2:51:13 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 5.8899 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2547 loss: 3.2547 2022/06/27 17:51:22 - mmengine - INFO - Epoch(train) [3][3600/3757] lr: 1.000e-02 eta: 1 day, 2:50:25 time: 0.197 data_time: 0.014 memory: 5148 grad_norm: 5.4769 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7780 loss: 2.7780 2022/06/27 17:51:27 - mmengine - INFO - Epoch(train) [3][3620/3757] lr: 1.000e-02 eta: 1 day, 2:50:23 time: 0.193 data_time: 0.006 memory: 5148 grad_norm: 5.2381 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5253 loss: 2.5253 2022/06/27 17:51:33 - mmengine - INFO - Epoch(train) [3][3640/3757] lr: 1.000e-02 eta: 1 day, 2:50:42 time: 0.205 data_time: 0.006 memory: 5148 grad_norm: 6.0048 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.2999 loss: 3.2999 2022/06/27 17:51:38 - mmengine - INFO - Epoch(train) [3][3660/3757] lr: 1.000e-02 eta: 1 day, 2:50:15 time: 0.199 data_time: 0.009 memory: 5148 grad_norm: 5.9340 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8140 loss: 2.8140 2022/06/27 17:51:43 - mmengine - INFO - Epoch(train) [3][3680/3757] lr: 1.000e-02 eta: 1 day, 2:50:09 time: 0.283 data_time: 0.007 memory: 5148 grad_norm: 5.8617 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3937 loss: 2.3937 2022/06/27 17:51:49 - mmengine - INFO - Epoch(train) [3][3700/3757] lr: 1.000e-02 eta: 1 day, 2:50:12 time: 0.610 data_time: 0.007 memory: 5148 grad_norm: 6.3468 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0525 loss: 3.0525 2022/06/27 17:51:53 - mmengine - INFO - Epoch(train) [3][3720/3757] lr: 1.000e-02 eta: 1 day, 2:49:49 time: 0.195 data_time: 0.006 memory: 5148 grad_norm: 5.8872 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9835 loss: 2.9835 2022/06/27 17:51:59 - mmengine - INFO - Epoch(train) [3][3740/3757] lr: 1.000e-02 eta: 1 day, 2:49:48 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 5.9019 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6631 loss: 2.6631 2022/06/27 17:52:02 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 17:52:09 - mmengine - INFO - Epoch(val) [3][20/310] eta: 0:01:09 time: 0.084 data_time: 0.006 memory: 5148 2022/06/27 17:52:13 - mmengine - INFO - Epoch(val) [3][40/310] eta: 0:00:57 time: 0.083 data_time: 0.006 memory: 1367 2022/06/27 17:52:19 - mmengine - INFO - Epoch(val) [3][60/310] eta: 0:00:52 time: 0.076 data_time: 0.005 memory: 1367 2022/06/27 17:52:23 - mmengine - INFO - Epoch(val) [3][80/310] eta: 0:00:52 time: 0.085 data_time: 0.009 memory: 1367 2022/06/27 17:52:30 - mmengine - INFO - Epoch(val) [3][100/310] eta: 0:00:47 time: 0.083 data_time: 0.005 memory: 1367 2022/06/27 17:52:34 - mmengine - INFO - Epoch(val) [3][120/310] eta: 0:00:42 time: 0.086 data_time: 0.009 memory: 1367 2022/06/27 17:52:40 - mmengine - INFO - Epoch(val) [3][140/310] eta: 0:00:39 time: 0.071 data_time: 0.005 memory: 1367 2022/06/27 17:52:45 - mmengine - INFO - Epoch(val) [3][160/310] eta: 0:00:42 time: 0.604 data_time: 0.527 memory: 1367 2022/06/27 17:52:50 - mmengine - INFO - Epoch(val) [3][180/310] eta: 0:00:33 time: 0.273 data_time: 0.200 memory: 1367 2022/06/27 17:52:55 - mmengine - INFO - Epoch(val) [3][200/310] eta: 0:00:25 time: 0.085 data_time: 0.013 memory: 1367 2022/06/27 17:53:01 - mmengine - INFO - Epoch(val) [3][220/310] eta: 0:00:24 time: 0.115 data_time: 0.044 memory: 1367 2022/06/27 17:53:06 - mmengine - INFO - Epoch(val) [3][240/310] eta: 0:00:14 time: 0.083 data_time: 0.011 memory: 1367 2022/06/27 17:53:12 - mmengine - INFO - Epoch(val) [3][260/310] eta: 0:00:13 time: 0.079 data_time: 0.004 memory: 1367 2022/06/27 17:53:16 - mmengine - INFO - Epoch(val) [3][280/310] eta: 0:00:06 time: 0.081 data_time: 0.010 memory: 1367 2022/06/27 17:53:22 - mmengine - INFO - Epoch(val) [3][300/310] eta: 0:00:02 time: 0.079 data_time: 0.008 memory: 1367 2022/06/27 17:53:25 - mmengine - INFO - Epoch(val) [3][310/310] acc/top1: 0.4081 acc/top5: 0.6851 acc/mean1: 0.4079 2022/06/27 17:53:34 - mmengine - INFO - Epoch(train) [4][20/3757] lr: 1.000e-02 eta: 1 day, 2:49:58 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 5.2106 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7239 loss: 2.7239 2022/06/27 17:53:40 - mmengine - INFO - Epoch(train) [4][40/3757] lr: 1.000e-02 eta: 1 day, 2:50:09 time: 0.189 data_time: 0.016 memory: 5148 grad_norm: 5.9988 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9688 loss: 2.9688 2022/06/27 17:53:45 - mmengine - INFO - Epoch(train) [4][60/3757] lr: 1.000e-02 eta: 1 day, 2:50:18 time: 0.187 data_time: 0.007 memory: 5148 grad_norm: 5.8385 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5037 loss: 2.5037 2022/06/27 17:53:50 - mmengine - INFO - Epoch(train) [4][80/3757] lr: 1.000e-02 eta: 1 day, 2:50:02 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 6.2686 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1183 loss: 3.1183 2022/06/27 17:53:56 - mmengine - INFO - Epoch(train) [4][100/3757] lr: 1.000e-02 eta: 1 day, 2:50:23 time: 0.211 data_time: 0.010 memory: 5148 grad_norm: 6.3408 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8920 loss: 2.8920 2022/06/27 17:54:01 - mmengine - INFO - Epoch(train) [4][120/3757] lr: 1.000e-02 eta: 1 day, 2:49:51 time: 0.192 data_time: 0.006 memory: 5148 grad_norm: 6.5770 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7638 loss: 2.7638 2022/06/27 17:54:06 - mmengine - INFO - Epoch(train) [4][140/3757] lr: 1.000e-02 eta: 1 day, 2:49:49 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 5.5035 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9815 loss: 2.9815 2022/06/27 17:54:12 - mmengine - INFO - Epoch(train) [4][160/3757] lr: 1.000e-02 eta: 1 day, 2:49:56 time: 0.209 data_time: 0.030 memory: 5148 grad_norm: 6.5143 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9944 loss: 2.9944 2022/06/27 17:54:17 - mmengine - INFO - Epoch(train) [4][180/3757] lr: 1.000e-02 eta: 1 day, 2:49:25 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 5.7096 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6065 loss: 2.6065 2022/06/27 17:54:22 - mmengine - INFO - Epoch(train) [4][200/3757] lr: 1.000e-02 eta: 1 day, 2:49:21 time: 0.193 data_time: 0.008 memory: 5148 grad_norm: 5.8606 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7139 loss: 2.7139 2022/06/27 17:54:28 - mmengine - INFO - Epoch(train) [4][220/3757] lr: 1.000e-02 eta: 1 day, 2:49:31 time: 0.203 data_time: 0.019 memory: 5148 grad_norm: 6.8235 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0381 loss: 3.0381 2022/06/27 17:54:32 - mmengine - INFO - Epoch(train) [4][240/3757] lr: 1.000e-02 eta: 1 day, 2:49:03 time: 0.189 data_time: 0.007 memory: 5148 grad_norm: 5.7316 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7553 loss: 2.7553 2022/06/27 17:54:38 - mmengine - INFO - Epoch(train) [4][260/3757] lr: 1.000e-02 eta: 1 day, 2:49:09 time: 0.192 data_time: 0.010 memory: 5148 grad_norm: 6.2029 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7666 loss: 2.7666 2022/06/27 17:54:43 - mmengine - INFO - Epoch(train) [4][280/3757] lr: 1.000e-02 eta: 1 day, 2:49:01 time: 0.204 data_time: 0.018 memory: 5148 grad_norm: 6.0403 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7635 loss: 2.7635 2022/06/27 17:54:48 - mmengine - INFO - Epoch(train) [4][300/3757] lr: 1.000e-02 eta: 1 day, 2:48:47 time: 0.192 data_time: 0.006 memory: 5148 grad_norm: 5.2905 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.9139 loss: 2.9139 2022/06/27 17:54:54 - mmengine - INFO - Epoch(train) [4][320/3757] lr: 1.000e-02 eta: 1 day, 2:48:47 time: 0.205 data_time: 0.006 memory: 5148 grad_norm: 5.6016 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7558 loss: 2.7558 2022/06/27 17:54:59 - mmengine - INFO - Epoch(train) [4][340/3757] lr: 1.000e-02 eta: 1 day, 2:48:43 time: 0.203 data_time: 0.009 memory: 5148 grad_norm: 5.9544 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8691 loss: 2.8691 2022/06/27 17:55:04 - mmengine - INFO - Epoch(train) [4][360/3757] lr: 1.000e-02 eta: 1 day, 2:48:25 time: 0.193 data_time: 0.009 memory: 5148 grad_norm: 5.3462 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.6602 loss: 2.6602 2022/06/27 17:55:10 - mmengine - INFO - Epoch(train) [4][380/3757] lr: 1.000e-02 eta: 1 day, 2:48:42 time: 0.187 data_time: 0.006 memory: 5148 grad_norm: 5.8285 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8310 loss: 2.8310 2022/06/27 17:55:16 - mmengine - INFO - Epoch(train) [4][400/3757] lr: 1.000e-02 eta: 1 day, 2:48:49 time: 0.229 data_time: 0.010 memory: 5148 grad_norm: 5.9433 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9984 loss: 2.9984 2022/06/27 17:55:20 - mmengine - INFO - Epoch(train) [4][420/3757] lr: 1.000e-02 eta: 1 day, 2:48:21 time: 0.194 data_time: 0.006 memory: 5148 grad_norm: 5.6883 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9253 loss: 2.9253 2022/06/27 17:55:26 - mmengine - INFO - Epoch(train) [4][440/3757] lr: 1.000e-02 eta: 1 day, 2:48:39 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.9199 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7212 loss: 2.7212 2022/06/27 17:55:31 - mmengine - INFO - Epoch(train) [4][460/3757] lr: 1.000e-02 eta: 1 day, 2:48:32 time: 0.457 data_time: 0.011 memory: 5148 grad_norm: 6.0622 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.5065 loss: 3.5065 2022/06/27 17:55:36 - mmengine - INFO - Epoch(train) [4][480/3757] lr: 1.000e-02 eta: 1 day, 2:48:12 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 5.6596 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7466 loss: 2.7466 2022/06/27 17:55:42 - mmengine - INFO - Epoch(train) [4][500/3757] lr: 1.000e-02 eta: 1 day, 2:48:28 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 6.2253 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7675 loss: 2.7675 2022/06/27 17:55:48 - mmengine - INFO - Epoch(train) [4][520/3757] lr: 1.000e-02 eta: 1 day, 2:48:27 time: 0.481 data_time: 0.018 memory: 5148 grad_norm: 5.7704 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7985 loss: 2.7985 2022/06/27 17:55:53 - mmengine - INFO - Epoch(train) [4][540/3757] lr: 1.000e-02 eta: 1 day, 2:48:16 time: 0.209 data_time: 0.005 memory: 5148 grad_norm: 5.8774 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.1343 loss: 3.1343 2022/06/27 17:55:58 - mmengine - INFO - Epoch(train) [4][560/3757] lr: 1.000e-02 eta: 1 day, 2:48:08 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 6.2651 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4970 loss: 2.4970 2022/06/27 17:56:04 - mmengine - INFO - Epoch(train) [4][580/3757] lr: 1.000e-02 eta: 1 day, 2:48:36 time: 0.481 data_time: 0.066 memory: 5148 grad_norm: 5.8486 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9436 loss: 2.9436 2022/06/27 17:56:09 - mmengine - INFO - Epoch(train) [4][600/3757] lr: 1.000e-02 eta: 1 day, 2:47:56 time: 0.195 data_time: 0.012 memory: 5148 grad_norm: 6.3159 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9985 loss: 2.9985 2022/06/27 17:56:14 - mmengine - INFO - Epoch(train) [4][620/3757] lr: 1.000e-02 eta: 1 day, 2:47:40 time: 0.198 data_time: 0.012 memory: 5148 grad_norm: 5.0165 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1074 loss: 3.1074 2022/06/27 17:56:19 - mmengine - INFO - Epoch(train) [4][640/3757] lr: 1.000e-02 eta: 1 day, 2:47:40 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 6.2017 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5191 loss: 2.5191 2022/06/27 17:56:24 - mmengine - INFO - Epoch(train) [4][660/3757] lr: 1.000e-02 eta: 1 day, 2:47:15 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 6.2205 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9543 loss: 2.9543 2022/06/27 17:56:29 - mmengine - INFO - Epoch(train) [4][680/3757] lr: 1.000e-02 eta: 1 day, 2:47:11 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.7074 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7523 loss: 2.7523 2022/06/27 17:56:35 - mmengine - INFO - Epoch(train) [4][700/3757] lr: 1.000e-02 eta: 1 day, 2:47:19 time: 0.214 data_time: 0.006 memory: 5148 grad_norm: 6.4090 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.3474 loss: 3.3474 2022/06/27 17:56:40 - mmengine - INFO - Epoch(train) [4][720/3757] lr: 1.000e-02 eta: 1 day, 2:46:59 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.3140 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7113 loss: 2.7113 2022/06/27 17:56:42 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 17:56:46 - mmengine - INFO - Epoch(train) [4][740/3757] lr: 1.000e-02 eta: 1 day, 2:47:16 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.5404 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6004 loss: 2.6004 2022/06/27 17:56:51 - mmengine - INFO - Epoch(train) [4][760/3757] lr: 1.000e-02 eta: 1 day, 2:46:59 time: 0.696 data_time: 0.007 memory: 5148 grad_norm: 6.5100 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1831 loss: 3.1831 2022/06/27 17:56:56 - mmengine - INFO - Epoch(train) [4][780/3757] lr: 1.000e-02 eta: 1 day, 2:46:53 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 6.5032 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4314 loss: 2.4314 2022/06/27 17:57:01 - mmengine - INFO - Epoch(train) [4][800/3757] lr: 1.000e-02 eta: 1 day, 2:46:50 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.9623 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7335 loss: 2.7335 2022/06/27 17:57:07 - mmengine - INFO - Epoch(train) [4][820/3757] lr: 1.000e-02 eta: 1 day, 2:46:50 time: 0.628 data_time: 0.007 memory: 5148 grad_norm: 5.9319 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7793 loss: 2.7793 2022/06/27 17:57:12 - mmengine - INFO - Epoch(train) [4][840/3757] lr: 1.000e-02 eta: 1 day, 2:46:35 time: 0.208 data_time: 0.006 memory: 5148 grad_norm: 6.1488 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8393 loss: 2.8393 2022/06/27 17:57:17 - mmengine - INFO - Epoch(train) [4][860/3757] lr: 1.000e-02 eta: 1 day, 2:46:32 time: 0.190 data_time: 0.010 memory: 5148 grad_norm: 6.4669 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8811 loss: 2.8811 2022/06/27 17:57:23 - mmengine - INFO - Epoch(train) [4][880/3757] lr: 1.000e-02 eta: 1 day, 2:46:32 time: 0.347 data_time: 0.028 memory: 5148 grad_norm: 5.9957 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8163 loss: 2.8163 2022/06/27 17:57:28 - mmengine - INFO - Epoch(train) [4][900/3757] lr: 1.000e-02 eta: 1 day, 2:46:25 time: 0.730 data_time: 0.006 memory: 5148 grad_norm: 6.2300 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6213 loss: 2.6213 2022/06/27 17:57:33 - mmengine - INFO - Epoch(train) [4][920/3757] lr: 1.000e-02 eta: 1 day, 2:46:14 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.8526 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8440 loss: 2.8440 2022/06/27 17:57:38 - mmengine - INFO - Epoch(train) [4][940/3757] lr: 1.000e-02 eta: 1 day, 2:46:12 time: 0.215 data_time: 0.021 memory: 5148 grad_norm: 5.9505 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7390 loss: 2.7390 2022/06/27 17:57:44 - mmengine - INFO - Epoch(train) [4][960/3757] lr: 1.000e-02 eta: 1 day, 2:46:04 time: 0.794 data_time: 0.010 memory: 5148 grad_norm: 6.0642 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5949 loss: 2.5949 2022/06/27 17:57:49 - mmengine - INFO - Epoch(train) [4][980/3757] lr: 1.000e-02 eta: 1 day, 2:45:52 time: 0.188 data_time: 0.007 memory: 5148 grad_norm: 5.9450 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7089 loss: 2.7089 2022/06/27 17:57:54 - mmengine - INFO - Epoch(train) [4][1000/3757] lr: 1.000e-02 eta: 1 day, 2:45:52 time: 0.214 data_time: 0.036 memory: 5148 grad_norm: 6.3000 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5067 loss: 2.5067 2022/06/27 17:57:59 - mmengine - INFO - Epoch(train) [4][1020/3757] lr: 1.000e-02 eta: 1 day, 2:45:49 time: 0.279 data_time: 0.006 memory: 5148 grad_norm: 5.4488 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7473 loss: 2.7473 2022/06/27 17:58:05 - mmengine - INFO - Epoch(train) [4][1040/3757] lr: 1.000e-02 eta: 1 day, 2:45:43 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 6.3113 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6745 loss: 2.6745 2022/06/27 17:58:10 - mmengine - INFO - Epoch(train) [4][1060/3757] lr: 1.000e-02 eta: 1 day, 2:45:45 time: 0.201 data_time: 0.023 memory: 5148 grad_norm: 5.2906 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8170 loss: 2.8170 2022/06/27 17:58:16 - mmengine - INFO - Epoch(train) [4][1080/3757] lr: 1.000e-02 eta: 1 day, 2:45:38 time: 0.517 data_time: 0.006 memory: 5148 grad_norm: 5.5771 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.6860 loss: 2.6860 2022/06/27 17:58:21 - mmengine - INFO - Epoch(train) [4][1100/3757] lr: 1.000e-02 eta: 1 day, 2:45:39 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 5.8539 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6440 loss: 2.6440 2022/06/27 17:58:26 - mmengine - INFO - Epoch(train) [4][1120/3757] lr: 1.000e-02 eta: 1 day, 2:45:22 time: 0.202 data_time: 0.030 memory: 5148 grad_norm: 5.7613 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1074 loss: 3.1074 2022/06/27 17:58:31 - mmengine - INFO - Epoch(train) [4][1140/3757] lr: 1.000e-02 eta: 1 day, 2:45:20 time: 0.625 data_time: 0.009 memory: 5148 grad_norm: 5.5315 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7450 loss: 2.7450 2022/06/27 17:58:37 - mmengine - INFO - Epoch(train) [4][1160/3757] lr: 1.000e-02 eta: 1 day, 2:45:09 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 5.6398 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4588 loss: 2.4588 2022/06/27 17:58:42 - mmengine - INFO - Epoch(train) [4][1180/3757] lr: 1.000e-02 eta: 1 day, 2:45:00 time: 0.213 data_time: 0.035 memory: 5148 grad_norm: 5.5763 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6606 loss: 2.6606 2022/06/27 17:58:47 - mmengine - INFO - Epoch(train) [4][1200/3757] lr: 1.000e-02 eta: 1 day, 2:45:01 time: 0.203 data_time: 0.009 memory: 5148 grad_norm: 6.2196 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9279 loss: 2.9279 2022/06/27 17:58:52 - mmengine - INFO - Epoch(train) [4][1220/3757] lr: 1.000e-02 eta: 1 day, 2:44:48 time: 0.188 data_time: 0.007 memory: 5148 grad_norm: 5.7340 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7108 loss: 2.7108 2022/06/27 17:58:58 - mmengine - INFO - Epoch(train) [4][1240/3757] lr: 1.000e-02 eta: 1 day, 2:45:03 time: 0.212 data_time: 0.039 memory: 5148 grad_norm: 6.1011 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0869 loss: 3.0869 2022/06/27 17:59:03 - mmengine - INFO - Epoch(train) [4][1260/3757] lr: 1.000e-02 eta: 1 day, 2:44:49 time: 0.211 data_time: 0.006 memory: 5148 grad_norm: 6.1746 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0994 loss: 3.0994 2022/06/27 17:59:09 - mmengine - INFO - Epoch(train) [4][1280/3757] lr: 1.000e-02 eta: 1 day, 2:44:42 time: 0.191 data_time: 0.006 memory: 5148 grad_norm: 5.5333 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6705 loss: 2.6705 2022/06/27 17:59:14 - mmengine - INFO - Epoch(train) [4][1300/3757] lr: 1.000e-02 eta: 1 day, 2:44:41 time: 0.219 data_time: 0.040 memory: 5148 grad_norm: 5.7579 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1355 loss: 3.1355 2022/06/27 17:59:18 - mmengine - INFO - Epoch(train) [4][1320/3757] lr: 1.000e-02 eta: 1 day, 2:44:14 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.3833 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1176 loss: 3.1176 2022/06/27 17:59:24 - mmengine - INFO - Epoch(train) [4][1340/3757] lr: 1.000e-02 eta: 1 day, 2:44:14 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.3494 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0495 loss: 3.0495 2022/06/27 17:59:30 - mmengine - INFO - Epoch(train) [4][1360/3757] lr: 1.000e-02 eta: 1 day, 2:44:25 time: 0.203 data_time: 0.032 memory: 5148 grad_norm: 5.3674 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5805 loss: 2.5805 2022/06/27 17:59:35 - mmengine - INFO - Epoch(train) [4][1380/3757] lr: 1.000e-02 eta: 1 day, 2:44:09 time: 0.430 data_time: 0.006 memory: 5148 grad_norm: 5.5685 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0175 loss: 3.0175 2022/06/27 17:59:41 - mmengine - INFO - Epoch(train) [4][1400/3757] lr: 1.000e-02 eta: 1 day, 2:44:21 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 5.4263 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6953 loss: 2.6953 2022/06/27 17:59:46 - mmengine - INFO - Epoch(train) [4][1420/3757] lr: 1.000e-02 eta: 1 day, 2:44:16 time: 0.239 data_time: 0.062 memory: 5148 grad_norm: 6.2941 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 3.0320 loss: 3.0320 2022/06/27 17:59:52 - mmengine - INFO - Epoch(train) [4][1440/3757] lr: 1.000e-02 eta: 1 day, 2:44:17 time: 0.203 data_time: 0.009 memory: 5148 grad_norm: 5.3921 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7675 loss: 2.7675 2022/06/27 17:59:56 - mmengine - INFO - Epoch(train) [4][1460/3757] lr: 1.000e-02 eta: 1 day, 2:43:53 time: 0.187 data_time: 0.010 memory: 5148 grad_norm: 5.5850 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.1716 loss: 3.1716 2022/06/27 18:00:04 - mmengine - INFO - Epoch(train) [4][1480/3757] lr: 1.000e-02 eta: 1 day, 2:44:59 time: 1.230 data_time: 0.165 memory: 5148 grad_norm: 6.0692 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7500 loss: 2.7500 2022/06/27 18:00:08 - mmengine - INFO - Epoch(train) [4][1500/3757] lr: 1.000e-02 eta: 1 day, 2:44:20 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.4754 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8541 loss: 2.8541 2022/06/27 18:00:13 - mmengine - INFO - Epoch(train) [4][1520/3757] lr: 1.000e-02 eta: 1 day, 2:43:55 time: 0.197 data_time: 0.009 memory: 5148 grad_norm: 5.7631 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8137 loss: 2.8137 2022/06/27 18:00:18 - mmengine - INFO - Epoch(train) [4][1540/3757] lr: 1.000e-02 eta: 1 day, 2:43:44 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 5.8700 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0617 loss: 3.0617 2022/06/27 18:00:24 - mmengine - INFO - Epoch(train) [4][1560/3757] lr: 1.000e-02 eta: 1 day, 2:43:58 time: 0.197 data_time: 0.009 memory: 5148 grad_norm: 5.6912 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9038 loss: 2.9038 2022/06/27 18:00:29 - mmengine - INFO - Epoch(train) [4][1580/3757] lr: 1.000e-02 eta: 1 day, 2:43:48 time: 0.194 data_time: 0.012 memory: 5148 grad_norm: 6.4568 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7695 loss: 2.7695 2022/06/27 18:00:34 - mmengine - INFO - Epoch(train) [4][1600/3757] lr: 1.000e-02 eta: 1 day, 2:43:46 time: 0.196 data_time: 0.006 memory: 5148 grad_norm: 5.5789 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9258 loss: 2.9258 2022/06/27 18:00:39 - mmengine - INFO - Epoch(train) [4][1620/3757] lr: 1.000e-02 eta: 1 day, 2:43:24 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 5.9968 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0140 loss: 3.0140 2022/06/27 18:00:44 - mmengine - INFO - Epoch(train) [4][1640/3757] lr: 1.000e-02 eta: 1 day, 2:43:21 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.5827 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 2.8814 loss: 2.8814 2022/06/27 18:00:50 - mmengine - INFO - Epoch(train) [4][1660/3757] lr: 1.000e-02 eta: 1 day, 2:43:21 time: 0.200 data_time: 0.009 memory: 5148 grad_norm: 5.5099 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7371 loss: 2.7371 2022/06/27 18:00:55 - mmengine - INFO - Epoch(train) [4][1680/3757] lr: 1.000e-02 eta: 1 day, 2:43:14 time: 0.203 data_time: 0.009 memory: 5148 grad_norm: 5.9555 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6423 loss: 2.6423 2022/06/27 18:01:00 - mmengine - INFO - Epoch(train) [4][1700/3757] lr: 1.000e-02 eta: 1 day, 2:43:08 time: 0.187 data_time: 0.007 memory: 5148 grad_norm: 5.8627 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3296 loss: 3.3296 2022/06/27 18:01:06 - mmengine - INFO - Epoch(train) [4][1720/3757] lr: 1.000e-02 eta: 1 day, 2:43:14 time: 0.206 data_time: 0.006 memory: 5148 grad_norm: 5.9321 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.7314 loss: 2.7314 2022/06/27 18:01:08 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 18:01:11 - mmengine - INFO - Epoch(train) [4][1740/3757] lr: 1.000e-02 eta: 1 day, 2:43:02 time: 0.192 data_time: 0.009 memory: 5148 grad_norm: 5.6973 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0759 loss: 3.0759 2022/06/27 18:01:17 - mmengine - INFO - Epoch(train) [4][1760/3757] lr: 1.000e-02 eta: 1 day, 2:42:59 time: 0.193 data_time: 0.009 memory: 5148 grad_norm: 5.3413 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.2401 loss: 3.2401 2022/06/27 18:01:22 - mmengine - INFO - Epoch(train) [4][1780/3757] lr: 1.000e-02 eta: 1 day, 2:43:06 time: 0.209 data_time: 0.006 memory: 5148 grad_norm: 5.7392 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0222 loss: 3.0222 2022/06/27 18:01:27 - mmengine - INFO - Epoch(train) [4][1800/3757] lr: 1.000e-02 eta: 1 day, 2:42:50 time: 0.195 data_time: 0.012 memory: 5148 grad_norm: 6.0531 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0053 loss: 3.0053 2022/06/27 18:01:33 - mmengine - INFO - Epoch(train) [4][1820/3757] lr: 1.000e-02 eta: 1 day, 2:42:58 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.3258 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0503 loss: 3.0503 2022/06/27 18:01:39 - mmengine - INFO - Epoch(train) [4][1840/3757] lr: 1.000e-02 eta: 1 day, 2:43:09 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 5.2692 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0103 loss: 3.0103 2022/06/27 18:01:43 - mmengine - INFO - Epoch(train) [4][1860/3757] lr: 1.000e-02 eta: 1 day, 2:42:27 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 6.1709 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.0418 loss: 3.0418 2022/06/27 18:01:49 - mmengine - INFO - Epoch(train) [4][1880/3757] lr: 1.000e-02 eta: 1 day, 2:42:33 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 6.2439 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0831 loss: 3.0831 2022/06/27 18:01:54 - mmengine - INFO - Epoch(train) [4][1900/3757] lr: 1.000e-02 eta: 1 day, 2:42:29 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 5.1487 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6241 loss: 2.6241 2022/06/27 18:01:59 - mmengine - INFO - Epoch(train) [4][1920/3757] lr: 1.000e-02 eta: 1 day, 2:42:09 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 5.8698 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.0023 loss: 3.0023 2022/06/27 18:02:05 - mmengine - INFO - Epoch(train) [4][1940/3757] lr: 1.000e-02 eta: 1 day, 2:42:18 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 6.1946 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6194 loss: 2.6194 2022/06/27 18:02:10 - mmengine - INFO - Epoch(train) [4][1960/3757] lr: 1.000e-02 eta: 1 day, 2:42:18 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 6.1917 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7431 loss: 2.7431 2022/06/27 18:02:15 - mmengine - INFO - Epoch(train) [4][1980/3757] lr: 1.000e-02 eta: 1 day, 2:42:03 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 6.1884 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8461 loss: 2.8461 2022/06/27 18:02:20 - mmengine - INFO - Epoch(train) [4][2000/3757] lr: 1.000e-02 eta: 1 day, 2:42:00 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 5.9392 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4993 loss: 2.4993 2022/06/27 18:02:26 - mmengine - INFO - Epoch(train) [4][2020/3757] lr: 1.000e-02 eta: 1 day, 2:42:03 time: 0.195 data_time: 0.006 memory: 5148 grad_norm: 4.9499 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7784 loss: 2.7784 2022/06/27 18:02:31 - mmengine - INFO - Epoch(train) [4][2040/3757] lr: 1.000e-02 eta: 1 day, 2:41:46 time: 0.192 data_time: 0.006 memory: 5148 grad_norm: 5.6127 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8355 loss: 2.8355 2022/06/27 18:02:37 - mmengine - INFO - Epoch(train) [4][2060/3757] lr: 1.000e-02 eta: 1 day, 2:41:49 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 6.2142 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3379 loss: 3.3379 2022/06/27 18:02:42 - mmengine - INFO - Epoch(train) [4][2080/3757] lr: 1.000e-02 eta: 1 day, 2:41:57 time: 0.194 data_time: 0.006 memory: 5148 grad_norm: 5.9598 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5832 loss: 2.5832 2022/06/27 18:02:47 - mmengine - INFO - Epoch(train) [4][2100/3757] lr: 1.000e-02 eta: 1 day, 2:41:36 time: 0.194 data_time: 0.013 memory: 5148 grad_norm: 6.0917 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7728 loss: 2.7728 2022/06/27 18:02:53 - mmengine - INFO - Epoch(train) [4][2120/3757] lr: 1.000e-02 eta: 1 day, 2:41:37 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 6.0031 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.3796 loss: 2.3796 2022/06/27 18:02:58 - mmengine - INFO - Epoch(train) [4][2140/3757] lr: 1.000e-02 eta: 1 day, 2:41:33 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.9383 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2978 loss: 2.2978 2022/06/27 18:03:03 - mmengine - INFO - Epoch(train) [4][2160/3757] lr: 1.000e-02 eta: 1 day, 2:41:20 time: 0.191 data_time: 0.006 memory: 5148 grad_norm: 6.0985 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7574 loss: 2.7574 2022/06/27 18:03:09 - mmengine - INFO - Epoch(train) [4][2180/3757] lr: 1.000e-02 eta: 1 day, 2:41:28 time: 0.193 data_time: 0.006 memory: 5148 grad_norm: 6.2249 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6062 loss: 2.6062 2022/06/27 18:03:14 - mmengine - INFO - Epoch(train) [4][2200/3757] lr: 1.000e-02 eta: 1 day, 2:41:18 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 5.5167 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7706 loss: 2.7706 2022/06/27 18:03:19 - mmengine - INFO - Epoch(train) [4][2220/3757] lr: 1.000e-02 eta: 1 day, 2:41:08 time: 0.191 data_time: 0.011 memory: 5148 grad_norm: 5.3112 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7952 loss: 2.7952 2022/06/27 18:03:25 - mmengine - INFO - Epoch(train) [4][2240/3757] lr: 1.000e-02 eta: 1 day, 2:41:16 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 5.8031 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9860 loss: 2.9860 2022/06/27 18:03:30 - mmengine - INFO - Epoch(train) [4][2260/3757] lr: 1.000e-02 eta: 1 day, 2:41:04 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.9165 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.2228 loss: 3.2228 2022/06/27 18:03:35 - mmengine - INFO - Epoch(train) [4][2280/3757] lr: 1.000e-02 eta: 1 day, 2:40:58 time: 0.212 data_time: 0.029 memory: 5148 grad_norm: 5.1984 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0181 loss: 3.0181 2022/06/27 18:03:40 - mmengine - INFO - Epoch(train) [4][2300/3757] lr: 1.000e-02 eta: 1 day, 2:40:45 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 5.5784 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.5804 loss: 2.5804 2022/06/27 18:03:46 - mmengine - INFO - Epoch(train) [4][2320/3757] lr: 1.000e-02 eta: 1 day, 2:40:40 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 6.2325 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1232 loss: 3.1232 2022/06/27 18:03:51 - mmengine - INFO - Epoch(train) [4][2340/3757] lr: 1.000e-02 eta: 1 day, 2:40:41 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 5.7215 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4721 loss: 2.4721 2022/06/27 18:03:56 - mmengine - INFO - Epoch(train) [4][2360/3757] lr: 1.000e-02 eta: 1 day, 2:40:29 time: 0.188 data_time: 0.011 memory: 5148 grad_norm: 4.9806 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8405 loss: 2.8405 2022/06/27 18:04:01 - mmengine - INFO - Epoch(train) [4][2380/3757] lr: 1.000e-02 eta: 1 day, 2:40:17 time: 0.190 data_time: 0.007 memory: 5148 grad_norm: 6.3145 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7293 loss: 2.7293 2022/06/27 18:04:07 - mmengine - INFO - Epoch(train) [4][2400/3757] lr: 1.000e-02 eta: 1 day, 2:40:22 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 5.8249 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.5526 loss: 2.5526 2022/06/27 18:04:12 - mmengine - INFO - Epoch(train) [4][2420/3757] lr: 1.000e-02 eta: 1 day, 2:40:12 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 5.6845 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4938 loss: 2.4938 2022/06/27 18:04:18 - mmengine - INFO - Epoch(train) [4][2440/3757] lr: 1.000e-02 eta: 1 day, 2:40:18 time: 0.190 data_time: 0.009 memory: 5148 grad_norm: 5.4780 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5289 loss: 2.5289 2022/06/27 18:04:23 - mmengine - INFO - Epoch(train) [4][2460/3757] lr: 1.000e-02 eta: 1 day, 2:40:11 time: 0.191 data_time: 0.011 memory: 5148 grad_norm: 5.6401 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6001 loss: 2.6001 2022/06/27 18:04:28 - mmengine - INFO - Epoch(train) [4][2480/3757] lr: 1.000e-02 eta: 1 day, 2:40:01 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.8875 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9208 loss: 2.9208 2022/06/27 18:04:33 - mmengine - INFO - Epoch(train) [4][2500/3757] lr: 1.000e-02 eta: 1 day, 2:39:52 time: 0.195 data_time: 0.006 memory: 5148 grad_norm: 5.6539 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.9320 loss: 2.9320 2022/06/27 18:04:39 - mmengine - INFO - Epoch(train) [4][2520/3757] lr: 1.000e-02 eta: 1 day, 2:39:56 time: 0.194 data_time: 0.009 memory: 5148 grad_norm: 6.2663 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0811 loss: 3.0811 2022/06/27 18:04:44 - mmengine - INFO - Epoch(train) [4][2540/3757] lr: 1.000e-02 eta: 1 day, 2:39:36 time: 0.190 data_time: 0.010 memory: 5148 grad_norm: 5.3600 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6434 loss: 2.6434 2022/06/27 18:04:49 - mmengine - INFO - Epoch(train) [4][2560/3757] lr: 1.000e-02 eta: 1 day, 2:39:42 time: 0.188 data_time: 0.006 memory: 5148 grad_norm: 6.3524 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7632 loss: 2.7632 2022/06/27 18:04:55 - mmengine - INFO - Epoch(train) [4][2580/3757] lr: 1.000e-02 eta: 1 day, 2:39:50 time: 0.541 data_time: 0.007 memory: 5148 grad_norm: 6.0851 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5361 loss: 2.5361 2022/06/27 18:05:00 - mmengine - INFO - Epoch(train) [4][2600/3757] lr: 1.000e-02 eta: 1 day, 2:39:41 time: 0.189 data_time: 0.010 memory: 5148 grad_norm: 5.8635 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.3760 loss: 3.3760 2022/06/27 18:05:06 - mmengine - INFO - Epoch(train) [4][2620/3757] lr: 1.000e-02 eta: 1 day, 2:39:32 time: 0.201 data_time: 0.009 memory: 5148 grad_norm: 6.3417 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3655 loss: 2.3655 2022/06/27 18:05:11 - mmengine - INFO - Epoch(train) [4][2640/3757] lr: 1.000e-02 eta: 1 day, 2:39:37 time: 0.190 data_time: 0.007 memory: 5148 grad_norm: 6.2964 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5329 loss: 2.5329 2022/06/27 18:05:17 - mmengine - INFO - Epoch(train) [4][2660/3757] lr: 1.000e-02 eta: 1 day, 2:39:33 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 5.9478 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6324 loss: 2.6324 2022/06/27 18:05:21 - mmengine - INFO - Epoch(train) [4][2680/3757] lr: 1.000e-02 eta: 1 day, 2:39:14 time: 0.197 data_time: 0.009 memory: 5148 grad_norm: 6.0455 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0878 loss: 3.0878 2022/06/27 18:05:27 - mmengine - INFO - Epoch(train) [4][2700/3757] lr: 1.000e-02 eta: 1 day, 2:39:23 time: 0.207 data_time: 0.006 memory: 5148 grad_norm: 5.8477 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8928 loss: 2.8928 2022/06/27 18:05:32 - mmengine - INFO - Epoch(train) [4][2720/3757] lr: 1.000e-02 eta: 1 day, 2:39:12 time: 0.190 data_time: 0.012 memory: 5148 grad_norm: 5.7301 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7432 loss: 2.7432 2022/06/27 18:05:35 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 18:05:38 - mmengine - INFO - Epoch(train) [4][2740/3757] lr: 1.000e-02 eta: 1 day, 2:39:08 time: 0.215 data_time: 0.006 memory: 5148 grad_norm: 5.6465 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6728 loss: 2.6728 2022/06/27 18:05:43 - mmengine - INFO - Epoch(train) [4][2760/3757] lr: 1.000e-02 eta: 1 day, 2:39:05 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 6.0468 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2353 loss: 3.2353 2022/06/27 18:05:48 - mmengine - INFO - Epoch(train) [4][2780/3757] lr: 1.000e-02 eta: 1 day, 2:38:48 time: 0.191 data_time: 0.013 memory: 5148 grad_norm: 5.5062 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7558 loss: 2.7558 2022/06/27 18:05:53 - mmengine - INFO - Epoch(train) [4][2800/3757] lr: 1.000e-02 eta: 1 day, 2:38:32 time: 0.189 data_time: 0.007 memory: 5148 grad_norm: 6.7109 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.8012 loss: 2.8012 2022/06/27 18:05:59 - mmengine - INFO - Epoch(train) [4][2820/3757] lr: 1.000e-02 eta: 1 day, 2:38:37 time: 0.192 data_time: 0.012 memory: 5148 grad_norm: 6.2180 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.4001 loss: 3.4001 2022/06/27 18:06:03 - mmengine - INFO - Epoch(train) [4][2840/3757] lr: 1.000e-02 eta: 1 day, 2:38:21 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 5.8042 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4708 loss: 2.4708 2022/06/27 18:06:09 - mmengine - INFO - Epoch(train) [4][2860/3757] lr: 1.000e-02 eta: 1 day, 2:38:19 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 6.5802 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7647 loss: 2.7647 2022/06/27 18:06:14 - mmengine - INFO - Epoch(train) [4][2880/3757] lr: 1.000e-02 eta: 1 day, 2:38:15 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.0273 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8612 loss: 2.8612 2022/06/27 18:06:19 - mmengine - INFO - Epoch(train) [4][2900/3757] lr: 1.000e-02 eta: 1 day, 2:37:59 time: 0.197 data_time: 0.015 memory: 5148 grad_norm: 6.1843 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5244 loss: 2.5244 2022/06/27 18:06:24 - mmengine - INFO - Epoch(train) [4][2920/3757] lr: 1.000e-02 eta: 1 day, 2:37:54 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.8977 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8468 loss: 2.8468 2022/06/27 18:06:30 - mmengine - INFO - Epoch(train) [4][2940/3757] lr: 1.000e-02 eta: 1 day, 2:37:46 time: 0.224 data_time: 0.006 memory: 5148 grad_norm: 5.5331 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4470 loss: 2.4470 2022/06/27 18:06:35 - mmengine - INFO - Epoch(train) [4][2960/3757] lr: 1.000e-02 eta: 1 day, 2:37:35 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.7704 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3428 loss: 3.3428 2022/06/27 18:06:40 - mmengine - INFO - Epoch(train) [4][2980/3757] lr: 1.000e-02 eta: 1 day, 2:37:25 time: 0.190 data_time: 0.007 memory: 5148 grad_norm: 6.3296 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.0208 loss: 3.0208 2022/06/27 18:06:45 - mmengine - INFO - Epoch(train) [4][3000/3757] lr: 1.000e-02 eta: 1 day, 2:37:26 time: 0.224 data_time: 0.007 memory: 5148 grad_norm: 5.8680 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.8089 loss: 2.8089 2022/06/27 18:06:50 - mmengine - INFO - Epoch(train) [4][3020/3757] lr: 1.000e-02 eta: 1 day, 2:37:12 time: 0.199 data_time: 0.016 memory: 5148 grad_norm: 5.6512 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.4280 loss: 2.4280 2022/06/27 18:06:56 - mmengine - INFO - Epoch(train) [4][3040/3757] lr: 1.000e-02 eta: 1 day, 2:37:06 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 4.7074 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3021 loss: 2.3021 2022/06/27 18:07:01 - mmengine - INFO - Epoch(train) [4][3060/3757] lr: 1.000e-02 eta: 1 day, 2:37:02 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.7495 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.1299 loss: 3.1299 2022/06/27 18:07:06 - mmengine - INFO - Epoch(train) [4][3080/3757] lr: 1.000e-02 eta: 1 day, 2:36:56 time: 0.197 data_time: 0.014 memory: 5148 grad_norm: 6.0016 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5349 loss: 2.5349 2022/06/27 18:07:11 - mmengine - INFO - Epoch(train) [4][3100/3757] lr: 1.000e-02 eta: 1 day, 2:36:45 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.6024 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9039 loss: 2.9039 2022/06/27 18:07:17 - mmengine - INFO - Epoch(train) [4][3120/3757] lr: 1.000e-02 eta: 1 day, 2:36:57 time: 0.189 data_time: 0.007 memory: 5148 grad_norm: 5.5489 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.9215 loss: 2.9215 2022/06/27 18:07:22 - mmengine - INFO - Epoch(train) [4][3140/3757] lr: 1.000e-02 eta: 1 day, 2:36:42 time: 0.202 data_time: 0.014 memory: 5148 grad_norm: 5.8085 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5792 loss: 2.5792 2022/06/27 18:07:27 - mmengine - INFO - Epoch(train) [4][3160/3757] lr: 1.000e-02 eta: 1 day, 2:36:31 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.6783 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8864 loss: 2.8864 2022/06/27 18:07:32 - mmengine - INFO - Epoch(train) [4][3180/3757] lr: 1.000e-02 eta: 1 day, 2:36:22 time: 0.208 data_time: 0.009 memory: 5148 grad_norm: 5.6818 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8754 loss: 2.8754 2022/06/27 18:07:38 - mmengine - INFO - Epoch(train) [4][3200/3757] lr: 1.000e-02 eta: 1 day, 2:36:23 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 5.6482 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3749 loss: 2.3749 2022/06/27 18:07:43 - mmengine - INFO - Epoch(train) [4][3220/3757] lr: 1.000e-02 eta: 1 day, 2:36:06 time: 0.210 data_time: 0.006 memory: 5148 grad_norm: 5.8657 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8971 loss: 2.8971 2022/06/27 18:07:48 - mmengine - INFO - Epoch(train) [4][3240/3757] lr: 1.000e-02 eta: 1 day, 2:36:06 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.9463 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6563 loss: 2.6563 2022/06/27 18:07:54 - mmengine - INFO - Epoch(train) [4][3260/3757] lr: 1.000e-02 eta: 1 day, 2:36:07 time: 0.206 data_time: 0.006 memory: 5148 grad_norm: 5.8971 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.8054 loss: 2.8054 2022/06/27 18:07:59 - mmengine - INFO - Epoch(train) [4][3280/3757] lr: 1.000e-02 eta: 1 day, 2:35:48 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 5.7695 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8906 loss: 2.8906 2022/06/27 18:08:04 - mmengine - INFO - Epoch(train) [4][3300/3757] lr: 1.000e-02 eta: 1 day, 2:35:51 time: 0.216 data_time: 0.006 memory: 5148 grad_norm: 5.3258 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4951 loss: 2.4951 2022/06/27 18:08:10 - mmengine - INFO - Epoch(train) [4][3320/3757] lr: 1.000e-02 eta: 1 day, 2:35:48 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.2189 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7017 loss: 2.7017 2022/06/27 18:08:15 - mmengine - INFO - Epoch(train) [4][3340/3757] lr: 1.000e-02 eta: 1 day, 2:35:44 time: 0.192 data_time: 0.009 memory: 5148 grad_norm: 5.4790 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7910 loss: 2.7910 2022/06/27 18:08:20 - mmengine - INFO - Epoch(train) [4][3360/3757] lr: 1.000e-02 eta: 1 day, 2:35:30 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 5.7398 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6349 loss: 2.6349 2022/06/27 18:08:26 - mmengine - INFO - Epoch(train) [4][3380/3757] lr: 1.000e-02 eta: 1 day, 2:35:30 time: 0.228 data_time: 0.006 memory: 5148 grad_norm: 5.4748 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4668 loss: 2.4668 2022/06/27 18:08:31 - mmengine - INFO - Epoch(train) [4][3400/3757] lr: 1.000e-02 eta: 1 day, 2:35:21 time: 0.202 data_time: 0.009 memory: 5148 grad_norm: 5.6168 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7979 loss: 2.7979 2022/06/27 18:08:36 - mmengine - INFO - Epoch(train) [4][3420/3757] lr: 1.000e-02 eta: 1 day, 2:35:10 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.8185 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9963 loss: 2.9963 2022/06/27 18:08:41 - mmengine - INFO - Epoch(train) [4][3440/3757] lr: 1.000e-02 eta: 1 day, 2:35:02 time: 0.323 data_time: 0.006 memory: 5148 grad_norm: 5.1170 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7895 loss: 2.7895 2022/06/27 18:08:46 - mmengine - INFO - Epoch(train) [4][3460/3757] lr: 1.000e-02 eta: 1 day, 2:34:53 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 5.7674 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7291 loss: 2.7291 2022/06/27 18:08:52 - mmengine - INFO - Epoch(train) [4][3480/3757] lr: 1.000e-02 eta: 1 day, 2:35:02 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.4053 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3899 loss: 2.3899 2022/06/27 18:08:58 - mmengine - INFO - Epoch(train) [4][3500/3757] lr: 1.000e-02 eta: 1 day, 2:35:05 time: 0.708 data_time: 0.006 memory: 5148 grad_norm: 5.8180 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9310 loss: 2.9310 2022/06/27 18:09:03 - mmengine - INFO - Epoch(train) [4][3520/3757] lr: 1.000e-02 eta: 1 day, 2:34:49 time: 0.200 data_time: 0.009 memory: 5148 grad_norm: 5.3525 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8815 loss: 2.8815 2022/06/27 18:09:08 - mmengine - INFO - Epoch(train) [4][3540/3757] lr: 1.000e-02 eta: 1 day, 2:34:43 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.0502 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.5349 loss: 2.5349 2022/06/27 18:09:13 - mmengine - INFO - Epoch(train) [4][3560/3757] lr: 1.000e-02 eta: 1 day, 2:34:37 time: 0.521 data_time: 0.007 memory: 5148 grad_norm: 5.1601 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.8932 loss: 2.8932 2022/06/27 18:09:18 - mmengine - INFO - Epoch(train) [4][3580/3757] lr: 1.000e-02 eta: 1 day, 2:34:22 time: 0.190 data_time: 0.013 memory: 5148 grad_norm: 5.5430 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3234 loss: 2.3234 2022/06/27 18:09:23 - mmengine - INFO - Epoch(train) [4][3600/3757] lr: 1.000e-02 eta: 1 day, 2:34:17 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.2910 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9905 loss: 2.9905 2022/06/27 18:09:29 - mmengine - INFO - Epoch(train) [4][3620/3757] lr: 1.000e-02 eta: 1 day, 2:34:12 time: 0.383 data_time: 0.007 memory: 5148 grad_norm: 5.7040 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3236 loss: 2.3236 2022/06/27 18:09:34 - mmengine - INFO - Epoch(train) [4][3640/3757] lr: 1.000e-02 eta: 1 day, 2:33:59 time: 0.191 data_time: 0.006 memory: 5148 grad_norm: 6.1293 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7095 loss: 2.7095 2022/06/27 18:09:39 - mmengine - INFO - Epoch(train) [4][3660/3757] lr: 1.000e-02 eta: 1 day, 2:33:53 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.8262 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7299 loss: 2.7299 2022/06/27 18:09:45 - mmengine - INFO - Epoch(train) [4][3680/3757] lr: 1.000e-02 eta: 1 day, 2:34:04 time: 0.222 data_time: 0.007 memory: 5148 grad_norm: 5.5497 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5901 loss: 2.5901 2022/06/27 18:09:50 - mmengine - INFO - Epoch(train) [4][3700/3757] lr: 1.000e-02 eta: 1 day, 2:33:46 time: 0.189 data_time: 0.007 memory: 5148 grad_norm: 5.3561 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9749 loss: 2.9749 2022/06/27 18:09:55 - mmengine - INFO - Epoch(train) [4][3720/3757] lr: 1.000e-02 eta: 1 day, 2:33:44 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.0867 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5805 loss: 2.5805 2022/06/27 18:09:58 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 18:10:01 - mmengine - INFO - Epoch(train) [4][3740/3757] lr: 1.000e-02 eta: 1 day, 2:33:42 time: 0.204 data_time: 0.009 memory: 5148 grad_norm: 5.7060 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.7147 loss: 2.7147 2022/06/27 18:10:04 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 18:10:11 - mmengine - INFO - Epoch(val) [4][20/310] eta: 0:01:11 time: 0.185 data_time: 0.113 memory: 5148 2022/06/27 18:10:15 - mmengine - INFO - Epoch(val) [4][40/310] eta: 0:01:01 time: 0.076 data_time: 0.005 memory: 1367 2022/06/27 18:10:21 - mmengine - INFO - Epoch(val) [4][60/310] eta: 0:01:01 time: 0.418 data_time: 0.343 memory: 1367 2022/06/27 18:10:26 - mmengine - INFO - Epoch(val) [4][80/310] eta: 0:00:55 time: 0.078 data_time: 0.007 memory: 1367 2022/06/27 18:10:31 - mmengine - INFO - Epoch(val) [4][100/310] eta: 0:00:52 time: 0.254 data_time: 0.172 memory: 1367 2022/06/27 18:10:36 - mmengine - INFO - Epoch(val) [4][120/310] eta: 0:00:44 time: 0.080 data_time: 0.008 memory: 1367 2022/06/27 18:10:43 - mmengine - INFO - Epoch(val) [4][140/310] eta: 0:00:57 time: 1.051 data_time: 0.969 memory: 1367 2022/06/27 18:10:47 - mmengine - INFO - Epoch(val) [4][160/310] eta: 0:00:32 time: 0.120 data_time: 0.048 memory: 1367 2022/06/27 18:10:53 - mmengine - INFO - Epoch(val) [4][180/310] eta: 0:00:48 time: 1.091 data_time: 1.021 memory: 1367 2022/06/27 18:10:58 - mmengine - INFO - Epoch(val) [4][200/310] eta: 0:00:23 time: 0.080 data_time: 0.009 memory: 1367 2022/06/27 18:11:04 - mmengine - INFO - Epoch(val) [4][220/310] eta: 0:00:31 time: 0.201 data_time: 0.122 memory: 1367 2022/06/27 18:11:08 - mmengine - INFO - Epoch(val) [4][240/310] eta: 0:00:14 time: 0.076 data_time: 0.005 memory: 1367 2022/06/27 18:11:14 - mmengine - INFO - Epoch(val) [4][260/310] eta: 0:00:16 time: 0.247 data_time: 0.168 memory: 1367 2022/06/27 18:11:19 - mmengine - INFO - Epoch(val) [4][280/310] eta: 0:00:06 time: 0.081 data_time: 0.005 memory: 1367 2022/06/27 18:11:25 - mmengine - INFO - Epoch(val) [4][300/310] eta: 0:00:03 time: 0.368 data_time: 0.297 memory: 1367 2022/06/27 18:11:28 - mmengine - INFO - Epoch(val) [4][310/310] acc/top1: 0.4221 acc/top5: 0.7008 acc/mean1: 0.4219 2022/06/27 18:11:36 - mmengine - INFO - Epoch(train) [5][20/3757] lr: 1.000e-02 eta: 1 day, 2:33:41 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 5.5477 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2008 loss: 2.2008 2022/06/27 18:11:42 - mmengine - INFO - Epoch(train) [5][40/3757] lr: 1.000e-02 eta: 1 day, 2:33:51 time: 0.192 data_time: 0.011 memory: 5148 grad_norm: 5.7937 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7193 loss: 2.7193 2022/06/27 18:11:47 - mmengine - INFO - Epoch(train) [5][60/3757] lr: 1.000e-02 eta: 1 day, 2:33:49 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.9064 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8014 loss: 2.8014 2022/06/27 18:11:52 - mmengine - INFO - Epoch(train) [5][80/3757] lr: 1.000e-02 eta: 1 day, 2:33:39 time: 0.193 data_time: 0.006 memory: 5148 grad_norm: 5.8167 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8859 loss: 2.8859 2022/06/27 18:11:58 - mmengine - INFO - Epoch(train) [5][100/3757] lr: 1.000e-02 eta: 1 day, 2:33:33 time: 0.190 data_time: 0.007 memory: 5148 grad_norm: 5.8226 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1585 loss: 3.1585 2022/06/27 18:12:03 - mmengine - INFO - Epoch(train) [5][120/3757] lr: 1.000e-02 eta: 1 day, 2:33:22 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.8148 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5378 loss: 2.5378 2022/06/27 18:12:08 - mmengine - INFO - Epoch(train) [5][140/3757] lr: 1.000e-02 eta: 1 day, 2:33:24 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 5.8321 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8419 loss: 2.8419 2022/06/27 18:12:14 - mmengine - INFO - Epoch(train) [5][160/3757] lr: 1.000e-02 eta: 1 day, 2:33:23 time: 0.190 data_time: 0.007 memory: 5148 grad_norm: 5.6951 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4616 loss: 2.4616 2022/06/27 18:12:19 - mmengine - INFO - Epoch(train) [5][180/3757] lr: 1.000e-02 eta: 1 day, 2:33:07 time: 0.195 data_time: 0.009 memory: 5148 grad_norm: 5.3976 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6891 loss: 2.6891 2022/06/27 18:12:24 - mmengine - INFO - Epoch(train) [5][200/3757] lr: 1.000e-02 eta: 1 day, 2:33:12 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 5.4293 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5158 loss: 2.5158 2022/06/27 18:12:29 - mmengine - INFO - Epoch(train) [5][220/3757] lr: 1.000e-02 eta: 1 day, 2:32:57 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 5.6061 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9594 loss: 2.9594 2022/06/27 18:12:34 - mmengine - INFO - Epoch(train) [5][240/3757] lr: 1.000e-02 eta: 1 day, 2:32:45 time: 0.195 data_time: 0.009 memory: 5148 grad_norm: 6.0054 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6135 loss: 2.6135 2022/06/27 18:12:40 - mmengine - INFO - Epoch(train) [5][260/3757] lr: 1.000e-02 eta: 1 day, 2:32:40 time: 0.190 data_time: 0.007 memory: 5148 grad_norm: 6.0017 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.0677 loss: 3.0677 2022/06/27 18:12:45 - mmengine - INFO - Epoch(train) [5][280/3757] lr: 1.000e-02 eta: 1 day, 2:32:44 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 5.2828 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5972 loss: 2.5972 2022/06/27 18:12:50 - mmengine - INFO - Epoch(train) [5][300/3757] lr: 1.000e-02 eta: 1 day, 2:32:26 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.4534 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1764 loss: 2.1764 2022/06/27 18:12:55 - mmengine - INFO - Epoch(train) [5][320/3757] lr: 1.000e-02 eta: 1 day, 2:32:22 time: 0.192 data_time: 0.010 memory: 5148 grad_norm: 5.4808 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2184 loss: 2.2184 2022/06/27 18:13:01 - mmengine - INFO - Epoch(train) [5][340/3757] lr: 1.000e-02 eta: 1 day, 2:32:22 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.5513 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3025 loss: 2.3025 2022/06/27 18:13:06 - mmengine - INFO - Epoch(train) [5][360/3757] lr: 1.000e-02 eta: 1 day, 2:32:07 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 6.2446 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7808 loss: 2.7808 2022/06/27 18:13:12 - mmengine - INFO - Epoch(train) [5][380/3757] lr: 1.000e-02 eta: 1 day, 2:32:10 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.3941 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3881 loss: 2.3881 2022/06/27 18:13:17 - mmengine - INFO - Epoch(train) [5][400/3757] lr: 1.000e-02 eta: 1 day, 2:32:17 time: 0.186 data_time: 0.008 memory: 5148 grad_norm: 5.7258 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7651 loss: 2.7651 2022/06/27 18:13:21 - mmengine - INFO - Epoch(train) [5][420/3757] lr: 1.000e-02 eta: 1 day, 2:31:42 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.7638 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.4463 loss: 2.4463 2022/06/27 18:13:27 - mmengine - INFO - Epoch(train) [5][440/3757] lr: 1.000e-02 eta: 1 day, 2:31:46 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.5469 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6114 loss: 2.6114 2022/06/27 18:13:32 - mmengine - INFO - Epoch(train) [5][460/3757] lr: 1.000e-02 eta: 1 day, 2:31:43 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 4.8156 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7258 loss: 2.7258 2022/06/27 18:13:37 - mmengine - INFO - Epoch(train) [5][480/3757] lr: 1.000e-02 eta: 1 day, 2:31:25 time: 0.194 data_time: 0.006 memory: 5148 grad_norm: 5.8746 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5464 loss: 2.5464 2022/06/27 18:13:42 - mmengine - INFO - Epoch(train) [5][500/3757] lr: 1.000e-02 eta: 1 day, 2:31:18 time: 0.192 data_time: 0.006 memory: 5148 grad_norm: 5.7728 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6607 loss: 2.6607 2022/06/27 18:13:48 - mmengine - INFO - Epoch(train) [5][520/3757] lr: 1.000e-02 eta: 1 day, 2:31:16 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 5.7217 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.4627 loss: 2.4627 2022/06/27 18:13:53 - mmengine - INFO - Epoch(train) [5][540/3757] lr: 1.000e-02 eta: 1 day, 2:31:03 time: 0.190 data_time: 0.006 memory: 5148 grad_norm: 6.4112 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.1540 loss: 3.1540 2022/06/27 18:13:59 - mmengine - INFO - Epoch(train) [5][560/3757] lr: 1.000e-02 eta: 1 day, 2:31:06 time: 0.191 data_time: 0.006 memory: 5148 grad_norm: 5.9180 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0615 loss: 3.0615 2022/06/27 18:14:04 - mmengine - INFO - Epoch(train) [5][580/3757] lr: 1.000e-02 eta: 1 day, 2:30:56 time: 0.197 data_time: 0.009 memory: 5148 grad_norm: 6.2868 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6413 loss: 2.6413 2022/06/27 18:14:09 - mmengine - INFO - Epoch(train) [5][600/3757] lr: 1.000e-02 eta: 1 day, 2:30:41 time: 0.196 data_time: 0.006 memory: 5148 grad_norm: 5.0766 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6225 loss: 2.6225 2022/06/27 18:14:14 - mmengine - INFO - Epoch(train) [5][620/3757] lr: 1.000e-02 eta: 1 day, 2:30:46 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.9364 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6592 loss: 2.6592 2022/06/27 18:14:19 - mmengine - INFO - Epoch(train) [5][640/3757] lr: 1.000e-02 eta: 1 day, 2:30:34 time: 0.203 data_time: 0.015 memory: 5148 grad_norm: 6.3834 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4402 loss: 2.4402 2022/06/27 18:14:25 - mmengine - INFO - Epoch(train) [5][660/3757] lr: 1.000e-02 eta: 1 day, 2:30:35 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.0862 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7596 loss: 2.7596 2022/06/27 18:14:30 - mmengine - INFO - Epoch(train) [5][680/3757] lr: 1.000e-02 eta: 1 day, 2:30:22 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 5.8802 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9202 loss: 2.9202 2022/06/27 18:14:35 - mmengine - INFO - Epoch(train) [5][700/3757] lr: 1.000e-02 eta: 1 day, 2:30:14 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 5.6863 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9578 loss: 2.9578 2022/06/27 18:14:40 - mmengine - INFO - Epoch(train) [5][720/3757] lr: 1.000e-02 eta: 1 day, 2:30:05 time: 0.191 data_time: 0.006 memory: 5148 grad_norm: 5.6369 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.2597 loss: 3.2597 2022/06/27 18:14:46 - mmengine - INFO - Epoch(train) [5][740/3757] lr: 1.000e-02 eta: 1 day, 2:30:06 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 5.9011 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.8282 loss: 2.8282 2022/06/27 18:14:51 - mmengine - INFO - Epoch(train) [5][760/3757] lr: 1.000e-02 eta: 1 day, 2:30:06 time: 0.193 data_time: 0.023 memory: 5148 grad_norm: 6.9687 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7697 loss: 2.7697 2022/06/27 18:14:57 - mmengine - INFO - Epoch(train) [5][780/3757] lr: 1.000e-02 eta: 1 day, 2:30:01 time: 0.191 data_time: 0.006 memory: 5148 grad_norm: 6.3166 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8527 loss: 2.8527 2022/06/27 18:15:02 - mmengine - INFO - Epoch(train) [5][800/3757] lr: 1.000e-02 eta: 1 day, 2:29:49 time: 0.191 data_time: 0.006 memory: 5148 grad_norm: 5.4269 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2772 loss: 2.2772 2022/06/27 18:15:07 - mmengine - INFO - Epoch(train) [5][820/3757] lr: 1.000e-02 eta: 1 day, 2:29:53 time: 0.199 data_time: 0.018 memory: 5148 grad_norm: 5.7381 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.4770 loss: 2.4770 2022/06/27 18:15:12 - mmengine - INFO - Epoch(train) [5][840/3757] lr: 1.000e-02 eta: 1 day, 2:29:36 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.7094 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8177 loss: 2.8177 2022/06/27 18:15:17 - mmengine - INFO - Epoch(train) [5][860/3757] lr: 1.000e-02 eta: 1 day, 2:29:32 time: 0.186 data_time: 0.012 memory: 5148 grad_norm: 6.0288 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9872 loss: 2.9872 2022/06/27 18:15:23 - mmengine - INFO - Epoch(train) [5][880/3757] lr: 1.000e-02 eta: 1 day, 2:29:36 time: 0.195 data_time: 0.006 memory: 5148 grad_norm: 5.6806 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8259 loss: 2.8259 2022/06/27 18:15:28 - mmengine - INFO - Epoch(train) [5][900/3757] lr: 1.000e-02 eta: 1 day, 2:29:29 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 5.4092 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.9999 loss: 2.9999 2022/06/27 18:15:33 - mmengine - INFO - Epoch(train) [5][920/3757] lr: 1.000e-02 eta: 1 day, 2:29:12 time: 0.315 data_time: 0.006 memory: 5148 grad_norm: 5.4000 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9374 loss: 2.9374 2022/06/27 18:15:38 - mmengine - INFO - Epoch(train) [5][940/3757] lr: 1.000e-02 eta: 1 day, 2:29:04 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 6.3061 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5570 loss: 2.5570 2022/06/27 18:15:44 - mmengine - INFO - Epoch(train) [5][960/3757] lr: 1.000e-02 eta: 1 day, 2:29:00 time: 0.202 data_time: 0.009 memory: 5148 grad_norm: 6.1242 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7245 loss: 2.7245 2022/06/27 18:15:47 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 18:15:49 - mmengine - INFO - Epoch(train) [5][980/3757] lr: 1.000e-02 eta: 1 day, 2:28:59 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 6.0321 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5681 loss: 2.5681 2022/06/27 18:15:54 - mmengine - INFO - Epoch(train) [5][1000/3757] lr: 1.000e-02 eta: 1 day, 2:28:44 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.8371 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5584 loss: 2.5584 2022/06/27 18:16:00 - mmengine - INFO - Epoch(train) [5][1020/3757] lr: 1.000e-02 eta: 1 day, 2:28:48 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.0986 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8722 loss: 2.8722 2022/06/27 18:16:05 - mmengine - INFO - Epoch(train) [5][1040/3757] lr: 1.000e-02 eta: 1 day, 2:28:32 time: 0.355 data_time: 0.006 memory: 5148 grad_norm: 5.7908 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.7152 loss: 2.7152 2022/06/27 18:16:11 - mmengine - INFO - Epoch(train) [5][1060/3757] lr: 1.000e-02 eta: 1 day, 2:28:42 time: 0.194 data_time: 0.009 memory: 5148 grad_norm: 5.8245 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6662 loss: 2.6662 2022/06/27 18:16:16 - mmengine - INFO - Epoch(train) [5][1080/3757] lr: 1.000e-02 eta: 1 day, 2:28:30 time: 0.196 data_time: 0.006 memory: 5148 grad_norm: 5.4975 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5574 loss: 2.5574 2022/06/27 18:16:21 - mmengine - INFO - Epoch(train) [5][1100/3757] lr: 1.000e-02 eta: 1 day, 2:28:13 time: 0.194 data_time: 0.005 memory: 5148 grad_norm: 5.8158 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9294 loss: 2.9294 2022/06/27 18:16:26 - mmengine - INFO - Epoch(train) [5][1120/3757] lr: 1.000e-02 eta: 1 day, 2:28:08 time: 0.197 data_time: 0.009 memory: 5148 grad_norm: 5.4526 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0803 loss: 3.0803 2022/06/27 18:16:32 - mmengine - INFO - Epoch(train) [5][1140/3757] lr: 1.000e-02 eta: 1 day, 2:28:14 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.8866 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0655 loss: 3.0655 2022/06/27 18:16:37 - mmengine - INFO - Epoch(train) [5][1160/3757] lr: 1.000e-02 eta: 1 day, 2:28:09 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 5.0978 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5717 loss: 2.5717 2022/06/27 18:16:42 - mmengine - INFO - Epoch(train) [5][1180/3757] lr: 1.000e-02 eta: 1 day, 2:27:58 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.4907 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3783 loss: 3.3783 2022/06/27 18:16:48 - mmengine - INFO - Epoch(train) [5][1200/3757] lr: 1.000e-02 eta: 1 day, 2:28:03 time: 0.195 data_time: 0.006 memory: 5148 grad_norm: 5.4895 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6191 loss: 2.6191 2022/06/27 18:16:53 - mmengine - INFO - Epoch(train) [5][1220/3757] lr: 1.000e-02 eta: 1 day, 2:27:50 time: 0.196 data_time: 0.006 memory: 5148 grad_norm: 6.0270 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8259 loss: 2.8259 2022/06/27 18:16:58 - mmengine - INFO - Epoch(train) [5][1240/3757] lr: 1.000e-02 eta: 1 day, 2:27:54 time: 0.228 data_time: 0.037 memory: 5148 grad_norm: 5.9888 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8307 loss: 2.8307 2022/06/27 18:17:04 - mmengine - INFO - Epoch(train) [5][1260/3757] lr: 1.000e-02 eta: 1 day, 2:27:46 time: 0.219 data_time: 0.007 memory: 5148 grad_norm: 5.6170 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8573 loss: 2.8573 2022/06/27 18:17:09 - mmengine - INFO - Epoch(train) [5][1280/3757] lr: 1.000e-02 eta: 1 day, 2:27:48 time: 0.192 data_time: 0.012 memory: 5148 grad_norm: 5.4292 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4869 loss: 2.4869 2022/06/27 18:17:13 - mmengine - INFO - Epoch(train) [5][1300/3757] lr: 1.000e-02 eta: 1 day, 2:27:16 time: 0.191 data_time: 0.010 memory: 5148 grad_norm: 5.9654 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8430 loss: 2.8430 2022/06/27 18:17:18 - mmengine - INFO - Epoch(train) [5][1320/3757] lr: 1.000e-02 eta: 1 day, 2:26:57 time: 0.208 data_time: 0.010 memory: 5148 grad_norm: 5.5160 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4873 loss: 2.4873 2022/06/27 18:17:23 - mmengine - INFO - Epoch(train) [5][1340/3757] lr: 1.000e-02 eta: 1 day, 2:26:51 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 5.9310 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6198 loss: 2.6198 2022/06/27 18:17:29 - mmengine - INFO - Epoch(train) [5][1360/3757] lr: 1.000e-02 eta: 1 day, 2:26:51 time: 0.197 data_time: 0.014 memory: 5148 grad_norm: 5.6487 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6454 loss: 2.6454 2022/06/27 18:17:35 - mmengine - INFO - Epoch(train) [5][1380/3757] lr: 1.000e-02 eta: 1 day, 2:26:59 time: 0.209 data_time: 0.015 memory: 5148 grad_norm: 5.7156 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4764 loss: 2.4764 2022/06/27 18:17:39 - mmengine - INFO - Epoch(train) [5][1400/3757] lr: 1.000e-02 eta: 1 day, 2:26:44 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 6.2255 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4135 loss: 2.4135 2022/06/27 18:17:45 - mmengine - INFO - Epoch(train) [5][1420/3757] lr: 1.000e-02 eta: 1 day, 2:26:43 time: 0.189 data_time: 0.015 memory: 5148 grad_norm: 5.9728 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.0224 loss: 3.0224 2022/06/27 18:17:50 - mmengine - INFO - Epoch(train) [5][1440/3757] lr: 1.000e-02 eta: 1 day, 2:26:34 time: 0.199 data_time: 0.009 memory: 5148 grad_norm: 5.8823 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5263 loss: 2.5263 2022/06/27 18:17:55 - mmengine - INFO - Epoch(train) [5][1460/3757] lr: 1.000e-02 eta: 1 day, 2:26:25 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 6.3998 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8094 loss: 2.8094 2022/06/27 18:18:01 - mmengine - INFO - Epoch(train) [5][1480/3757] lr: 1.000e-02 eta: 1 day, 2:26:32 time: 0.207 data_time: 0.009 memory: 5148 grad_norm: 5.6571 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5415 loss: 2.5415 2022/06/27 18:18:07 - mmengine - INFO - Epoch(train) [5][1500/3757] lr: 1.000e-02 eta: 1 day, 2:26:40 time: 0.199 data_time: 0.015 memory: 5148 grad_norm: 5.1466 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8980 loss: 2.8980 2022/06/27 18:18:12 - mmengine - INFO - Epoch(train) [5][1520/3757] lr: 1.000e-02 eta: 1 day, 2:26:23 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 5.8880 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2948 loss: 2.2948 2022/06/27 18:18:17 - mmengine - INFO - Epoch(train) [5][1540/3757] lr: 1.000e-02 eta: 1 day, 2:26:22 time: 0.198 data_time: 0.009 memory: 5148 grad_norm: 5.2636 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4427 loss: 2.4427 2022/06/27 18:18:23 - mmengine - INFO - Epoch(train) [5][1560/3757] lr: 1.000e-02 eta: 1 day, 2:26:20 time: 0.219 data_time: 0.006 memory: 5148 grad_norm: 6.1421 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8641 loss: 2.8641 2022/06/27 18:18:28 - mmengine - INFO - Epoch(train) [5][1580/3757] lr: 1.000e-02 eta: 1 day, 2:26:16 time: 0.192 data_time: 0.006 memory: 5148 grad_norm: 5.6733 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7247 loss: 2.7247 2022/06/27 18:18:33 - mmengine - INFO - Epoch(train) [5][1600/3757] lr: 1.000e-02 eta: 1 day, 2:26:12 time: 0.193 data_time: 0.006 memory: 5148 grad_norm: 5.5278 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1073 loss: 3.1073 2022/06/27 18:18:39 - mmengine - INFO - Epoch(train) [5][1620/3757] lr: 1.000e-02 eta: 1 day, 2:26:05 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 5.5124 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7077 loss: 2.7077 2022/06/27 18:18:44 - mmengine - INFO - Epoch(train) [5][1640/3757] lr: 1.000e-02 eta: 1 day, 2:25:58 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 5.7265 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.2776 loss: 2.2776 2022/06/27 18:18:50 - mmengine - INFO - Epoch(train) [5][1660/3757] lr: 1.000e-02 eta: 1 day, 2:26:05 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 5.4899 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6249 loss: 2.6249 2022/06/27 18:18:55 - mmengine - INFO - Epoch(train) [5][1680/3757] lr: 1.000e-02 eta: 1 day, 2:26:01 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 6.0243 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4297 loss: 2.4297 2022/06/27 18:19:00 - mmengine - INFO - Epoch(train) [5][1700/3757] lr: 1.000e-02 eta: 1 day, 2:25:45 time: 0.192 data_time: 0.006 memory: 5148 grad_norm: 5.6009 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8669 loss: 2.8669 2022/06/27 18:19:06 - mmengine - INFO - Epoch(train) [5][1720/3757] lr: 1.000e-02 eta: 1 day, 2:25:57 time: 0.194 data_time: 0.022 memory: 5148 grad_norm: 5.5566 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5977 loss: 2.5977 2022/06/27 18:19:11 - mmengine - INFO - Epoch(train) [5][1740/3757] lr: 1.000e-02 eta: 1 day, 2:25:37 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 5.2089 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6890 loss: 2.6890 2022/06/27 18:19:16 - mmengine - INFO - Epoch(train) [5][1760/3757] lr: 1.000e-02 eta: 1 day, 2:25:34 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 5.5095 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7324 loss: 2.7324 2022/06/27 18:19:22 - mmengine - INFO - Epoch(train) [5][1780/3757] lr: 1.000e-02 eta: 1 day, 2:25:32 time: 0.197 data_time: 0.016 memory: 5148 grad_norm: 5.8328 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8749 loss: 2.8749 2022/06/27 18:19:27 - mmengine - INFO - Epoch(train) [5][1800/3757] lr: 1.000e-02 eta: 1 day, 2:25:25 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 5.9707 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3805 loss: 2.3805 2022/06/27 18:19:32 - mmengine - INFO - Epoch(train) [5][1820/3757] lr: 1.000e-02 eta: 1 day, 2:25:21 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.4527 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4821 loss: 2.4821 2022/06/27 18:19:38 - mmengine - INFO - Epoch(train) [5][1840/3757] lr: 1.000e-02 eta: 1 day, 2:25:27 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 5.5563 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.5521 loss: 2.5521 2022/06/27 18:19:42 - mmengine - INFO - Epoch(train) [5][1860/3757] lr: 1.000e-02 eta: 1 day, 2:25:05 time: 0.207 data_time: 0.006 memory: 5148 grad_norm: 5.6581 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1466 loss: 3.1466 2022/06/27 18:19:48 - mmengine - INFO - Epoch(train) [5][1880/3757] lr: 1.000e-02 eta: 1 day, 2:25:12 time: 0.191 data_time: 0.010 memory: 5148 grad_norm: 5.8966 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6378 loss: 2.6378 2022/06/27 18:19:54 - mmengine - INFO - Epoch(train) [5][1900/3757] lr: 1.000e-02 eta: 1 day, 2:25:04 time: 0.205 data_time: 0.009 memory: 5148 grad_norm: 6.0573 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0310 loss: 3.0310 2022/06/27 18:19:59 - mmengine - INFO - Epoch(train) [5][1920/3757] lr: 1.000e-02 eta: 1 day, 2:25:03 time: 0.211 data_time: 0.005 memory: 5148 grad_norm: 5.8732 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8645 loss: 2.8645 2022/06/27 18:20:03 - mmengine - INFO - Epoch(train) [5][1940/3757] lr: 1.000e-02 eta: 1 day, 2:24:39 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.0368 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3963 loss: 2.3963 2022/06/27 18:20:09 - mmengine - INFO - Epoch(train) [5][1960/3757] lr: 1.000e-02 eta: 1 day, 2:24:49 time: 0.739 data_time: 0.010 memory: 5148 grad_norm: 5.6138 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7931 loss: 2.7931 2022/06/27 18:20:13 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 18:20:14 - mmengine - INFO - Epoch(train) [5][1980/3757] lr: 1.000e-02 eta: 1 day, 2:24:36 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 5.7576 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6066 loss: 2.6066 2022/06/27 18:20:20 - mmengine - INFO - Epoch(train) [5][2000/3757] lr: 1.000e-02 eta: 1 day, 2:24:41 time: 0.194 data_time: 0.006 memory: 5148 grad_norm: 5.6507 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5038 loss: 2.5038 2022/06/27 18:20:26 - mmengine - INFO - Epoch(train) [5][2020/3757] lr: 1.000e-02 eta: 1 day, 2:24:49 time: 0.888 data_time: 0.012 memory: 5148 grad_norm: 5.3843 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.5416 loss: 2.5416 2022/06/27 18:20:31 - mmengine - INFO - Epoch(train) [5][2040/3757] lr: 1.000e-02 eta: 1 day, 2:24:30 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 4.9793 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8982 loss: 2.8982 2022/06/27 18:20:37 - mmengine - INFO - Epoch(train) [5][2060/3757] lr: 1.000e-02 eta: 1 day, 2:24:35 time: 0.373 data_time: 0.007 memory: 5148 grad_norm: 5.3847 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2151 loss: 2.2151 2022/06/27 18:20:41 - mmengine - INFO - Epoch(train) [5][2080/3757] lr: 1.000e-02 eta: 1 day, 2:24:18 time: 0.940 data_time: 0.010 memory: 5148 grad_norm: 5.4209 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3899 loss: 2.3899 2022/06/27 18:20:46 - mmengine - INFO - Epoch(train) [5][2100/3757] lr: 1.000e-02 eta: 1 day, 2:23:58 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 5.7724 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.7618 loss: 2.7618 2022/06/27 18:20:52 - mmengine - INFO - Epoch(train) [5][2120/3757] lr: 1.000e-02 eta: 1 day, 2:24:00 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 5.7876 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9503 loss: 2.9503 2022/06/27 18:20:58 - mmengine - INFO - Epoch(train) [5][2140/3757] lr: 1.000e-02 eta: 1 day, 2:24:09 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.2679 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8660 loss: 2.8660 2022/06/27 18:21:02 - mmengine - INFO - Epoch(train) [5][2160/3757] lr: 1.000e-02 eta: 1 day, 2:23:46 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 5.5220 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5656 loss: 2.5656 2022/06/27 18:21:08 - mmengine - INFO - Epoch(train) [5][2180/3757] lr: 1.000e-02 eta: 1 day, 2:24:03 time: 0.190 data_time: 0.009 memory: 5148 grad_norm: 4.9742 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8838 loss: 2.8838 2022/06/27 18:21:14 - mmengine - INFO - Epoch(train) [5][2200/3757] lr: 1.000e-02 eta: 1 day, 2:24:01 time: 0.226 data_time: 0.053 memory: 5148 grad_norm: 5.5591 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7781 loss: 2.7781 2022/06/27 18:21:20 - mmengine - INFO - Epoch(train) [5][2220/3757] lr: 1.000e-02 eta: 1 day, 2:24:03 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 5.5364 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2823 loss: 2.2823 2022/06/27 18:21:24 - mmengine - INFO - Epoch(train) [5][2240/3757] lr: 1.000e-02 eta: 1 day, 2:23:39 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 5.8614 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4487 loss: 2.4487 2022/06/27 18:21:30 - mmengine - INFO - Epoch(train) [5][2260/3757] lr: 1.000e-02 eta: 1 day, 2:23:41 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 5.8379 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8165 loss: 2.8165 2022/06/27 18:21:34 - mmengine - INFO - Epoch(train) [5][2280/3757] lr: 1.000e-02 eta: 1 day, 2:23:24 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 5.7083 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8408 loss: 2.8408 2022/06/27 18:21:40 - mmengine - INFO - Epoch(train) [5][2300/3757] lr: 1.000e-02 eta: 1 day, 2:23:19 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.8923 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8566 loss: 2.8566 2022/06/27 18:21:45 - mmengine - INFO - Epoch(train) [5][2320/3757] lr: 1.000e-02 eta: 1 day, 2:23:18 time: 0.189 data_time: 0.006 memory: 5148 grad_norm: 5.6417 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9570 loss: 2.9570 2022/06/27 18:21:50 - mmengine - INFO - Epoch(train) [5][2340/3757] lr: 1.000e-02 eta: 1 day, 2:23:06 time: 0.186 data_time: 0.007 memory: 5148 grad_norm: 6.3028 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6120 loss: 2.6120 2022/06/27 18:21:55 - mmengine - INFO - Epoch(train) [5][2360/3757] lr: 1.000e-02 eta: 1 day, 2:23:00 time: 0.193 data_time: 0.006 memory: 5148 grad_norm: 4.8920 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4211 loss: 2.4211 2022/06/27 18:22:01 - mmengine - INFO - Epoch(train) [5][2380/3757] lr: 1.000e-02 eta: 1 day, 2:23:07 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.9089 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3365 loss: 2.3365 2022/06/27 18:22:06 - mmengine - INFO - Epoch(train) [5][2400/3757] lr: 1.000e-02 eta: 1 day, 2:22:59 time: 0.226 data_time: 0.010 memory: 5148 grad_norm: 5.3538 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4679 loss: 2.4679 2022/06/27 18:22:12 - mmengine - INFO - Epoch(train) [5][2420/3757] lr: 1.000e-02 eta: 1 day, 2:22:54 time: 0.191 data_time: 0.006 memory: 5148 grad_norm: 5.8534 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8239 loss: 2.8239 2022/06/27 18:22:18 - mmengine - INFO - Epoch(train) [5][2440/3757] lr: 1.000e-02 eta: 1 day, 2:23:07 time: 0.204 data_time: 0.018 memory: 5148 grad_norm: 6.0133 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3826 loss: 3.3826 2022/06/27 18:22:22 - mmengine - INFO - Epoch(train) [5][2460/3757] lr: 1.000e-02 eta: 1 day, 2:22:37 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 6.2696 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9585 loss: 2.9585 2022/06/27 18:22:28 - mmengine - INFO - Epoch(train) [5][2480/3757] lr: 1.000e-02 eta: 1 day, 2:22:42 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.0875 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5434 loss: 2.5434 2022/06/27 18:22:33 - mmengine - INFO - Epoch(train) [5][2500/3757] lr: 1.000e-02 eta: 1 day, 2:22:39 time: 0.201 data_time: 0.028 memory: 5148 grad_norm: 5.9709 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6062 loss: 2.6062 2022/06/27 18:22:38 - mmengine - INFO - Epoch(train) [5][2520/3757] lr: 1.000e-02 eta: 1 day, 2:22:27 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 5.5997 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1750 loss: 3.1750 2022/06/27 18:22:44 - mmengine - INFO - Epoch(train) [5][2540/3757] lr: 1.000e-02 eta: 1 day, 2:22:25 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.8257 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8891 loss: 2.8891 2022/06/27 18:22:49 - mmengine - INFO - Epoch(train) [5][2560/3757] lr: 1.000e-02 eta: 1 day, 2:22:21 time: 0.202 data_time: 0.025 memory: 5148 grad_norm: 5.7224 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3556 loss: 2.3556 2022/06/27 18:22:54 - mmengine - INFO - Epoch(train) [5][2580/3757] lr: 1.000e-02 eta: 1 day, 2:22:13 time: 0.218 data_time: 0.008 memory: 5148 grad_norm: 6.0059 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6259 loss: 2.6259 2022/06/27 18:23:00 - mmengine - INFO - Epoch(train) [5][2600/3757] lr: 1.000e-02 eta: 1 day, 2:22:07 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.7277 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0248 loss: 3.0248 2022/06/27 18:23:05 - mmengine - INFO - Epoch(train) [5][2620/3757] lr: 1.000e-02 eta: 1 day, 2:21:55 time: 0.208 data_time: 0.017 memory: 5148 grad_norm: 6.0378 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9383 loss: 2.9383 2022/06/27 18:23:10 - mmengine - INFO - Epoch(train) [5][2640/3757] lr: 1.000e-02 eta: 1 day, 2:21:59 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.7282 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8764 loss: 2.8764 2022/06/27 18:23:16 - mmengine - INFO - Epoch(train) [5][2660/3757] lr: 1.000e-02 eta: 1 day, 2:21:56 time: 0.194 data_time: 0.006 memory: 5148 grad_norm: 5.3634 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3575 loss: 2.3575 2022/06/27 18:23:21 - mmengine - INFO - Epoch(train) [5][2680/3757] lr: 1.000e-02 eta: 1 day, 2:21:46 time: 0.225 data_time: 0.014 memory: 5148 grad_norm: 5.3868 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6983 loss: 2.6983 2022/06/27 18:23:27 - mmengine - INFO - Epoch(train) [5][2700/3757] lr: 1.000e-02 eta: 1 day, 2:21:52 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 6.2819 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2672 loss: 2.2672 2022/06/27 18:23:32 - mmengine - INFO - Epoch(train) [5][2720/3757] lr: 1.000e-02 eta: 1 day, 2:21:47 time: 0.205 data_time: 0.005 memory: 5148 grad_norm: 5.1474 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6295 loss: 2.6295 2022/06/27 18:23:37 - mmengine - INFO - Epoch(train) [5][2740/3757] lr: 1.000e-02 eta: 1 day, 2:21:41 time: 0.206 data_time: 0.006 memory: 5148 grad_norm: 6.2944 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1386 loss: 2.1386 2022/06/27 18:23:43 - mmengine - INFO - Epoch(train) [5][2760/3757] lr: 1.000e-02 eta: 1 day, 2:21:38 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.3654 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4950 loss: 2.4950 2022/06/27 18:23:48 - mmengine - INFO - Epoch(train) [5][2780/3757] lr: 1.000e-02 eta: 1 day, 2:21:31 time: 0.212 data_time: 0.011 memory: 5148 grad_norm: 5.6174 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9027 loss: 2.9027 2022/06/27 18:23:52 - mmengine - INFO - Epoch(train) [5][2800/3757] lr: 1.000e-02 eta: 1 day, 2:21:11 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.7811 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3624 loss: 2.3624 2022/06/27 18:23:58 - mmengine - INFO - Epoch(train) [5][2820/3757] lr: 1.000e-02 eta: 1 day, 2:21:07 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 5.8585 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0361 loss: 3.0361 2022/06/27 18:24:04 - mmengine - INFO - Epoch(train) [5][2840/3757] lr: 1.000e-02 eta: 1 day, 2:21:12 time: 0.188 data_time: 0.010 memory: 5148 grad_norm: 5.3466 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7961 loss: 2.7961 2022/06/27 18:24:09 - mmengine - INFO - Epoch(train) [5][2860/3757] lr: 1.000e-02 eta: 1 day, 2:20:59 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.7106 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8732 loss: 2.8732 2022/06/27 18:24:14 - mmengine - INFO - Epoch(train) [5][2880/3757] lr: 1.000e-02 eta: 1 day, 2:20:51 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.7336 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3274 loss: 2.3274 2022/06/27 18:24:19 - mmengine - INFO - Epoch(train) [5][2900/3757] lr: 1.000e-02 eta: 1 day, 2:20:52 time: 0.191 data_time: 0.010 memory: 5148 grad_norm: 5.6097 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2859 loss: 2.2859 2022/06/27 18:24:24 - mmengine - INFO - Epoch(train) [5][2920/3757] lr: 1.000e-02 eta: 1 day, 2:20:41 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.3696 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7749 loss: 2.7749 2022/06/27 18:24:30 - mmengine - INFO - Epoch(train) [5][2940/3757] lr: 1.000e-02 eta: 1 day, 2:20:38 time: 0.207 data_time: 0.006 memory: 5148 grad_norm: 5.9060 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5068 loss: 2.5068 2022/06/27 18:24:36 - mmengine - INFO - Epoch(train) [5][2960/3757] lr: 1.000e-02 eta: 1 day, 2:20:48 time: 0.191 data_time: 0.009 memory: 5148 grad_norm: 5.4530 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6135 loss: 2.6135 2022/06/27 18:24:39 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 18:24:41 - mmengine - INFO - Epoch(train) [5][2980/3757] lr: 1.000e-02 eta: 1 day, 2:20:35 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.1685 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5692 loss: 2.5692 2022/06/27 18:24:46 - mmengine - INFO - Epoch(train) [5][3000/3757] lr: 1.000e-02 eta: 1 day, 2:20:36 time: 0.201 data_time: 0.021 memory: 5148 grad_norm: 5.5357 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7911 loss: 2.7911 2022/06/27 18:24:52 - mmengine - INFO - Epoch(train) [5][3020/3757] lr: 1.000e-02 eta: 1 day, 2:20:38 time: 0.206 data_time: 0.020 memory: 5148 grad_norm: 5.4292 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6460 loss: 2.6460 2022/06/27 18:24:57 - mmengine - INFO - Epoch(train) [5][3040/3757] lr: 1.000e-02 eta: 1 day, 2:20:27 time: 0.218 data_time: 0.006 memory: 5148 grad_norm: 6.1210 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3738 loss: 2.3738 2022/06/27 18:25:03 - mmengine - INFO - Epoch(train) [5][3060/3757] lr: 1.000e-02 eta: 1 day, 2:20:24 time: 0.195 data_time: 0.016 memory: 5148 grad_norm: 5.6603 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4385 loss: 2.4385 2022/06/27 18:25:08 - mmengine - INFO - Epoch(train) [5][3080/3757] lr: 1.000e-02 eta: 1 day, 2:20:30 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 5.9254 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7838 loss: 2.7838 2022/06/27 18:25:13 - mmengine - INFO - Epoch(train) [5][3100/3757] lr: 1.000e-02 eta: 1 day, 2:20:15 time: 0.222 data_time: 0.009 memory: 5148 grad_norm: 5.8441 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1261 loss: 3.1261 2022/06/27 18:25:19 - mmengine - INFO - Epoch(train) [5][3120/3757] lr: 1.000e-02 eta: 1 day, 2:20:16 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 5.1586 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0305 loss: 3.0305 2022/06/27 18:25:24 - mmengine - INFO - Epoch(train) [5][3140/3757] lr: 1.000e-02 eta: 1 day, 2:20:00 time: 0.213 data_time: 0.012 memory: 5148 grad_norm: 6.2795 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8330 loss: 2.8330 2022/06/27 18:25:29 - mmengine - INFO - Epoch(train) [5][3160/3757] lr: 1.000e-02 eta: 1 day, 2:19:55 time: 0.196 data_time: 0.009 memory: 5148 grad_norm: 6.3567 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6301 loss: 2.6301 2022/06/27 18:25:34 - mmengine - INFO - Epoch(train) [5][3180/3757] lr: 1.000e-02 eta: 1 day, 2:19:52 time: 0.706 data_time: 0.007 memory: 5148 grad_norm: 5.5309 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5111 loss: 2.5111 2022/06/27 18:25:39 - mmengine - INFO - Epoch(train) [5][3200/3757] lr: 1.000e-02 eta: 1 day, 2:19:43 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 5.9590 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7798 loss: 2.7798 2022/06/27 18:25:45 - mmengine - INFO - Epoch(train) [5][3220/3757] lr: 1.000e-02 eta: 1 day, 2:19:39 time: 0.205 data_time: 0.015 memory: 5148 grad_norm: 5.5011 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4934 loss: 2.4934 2022/06/27 18:25:50 - mmengine - INFO - Epoch(train) [5][3240/3757] lr: 1.000e-02 eta: 1 day, 2:19:37 time: 0.721 data_time: 0.011 memory: 5148 grad_norm: 5.0231 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5610 loss: 2.5610 2022/06/27 18:25:55 - mmengine - INFO - Epoch(train) [5][3260/3757] lr: 1.000e-02 eta: 1 day, 2:19:23 time: 0.193 data_time: 0.008 memory: 5148 grad_norm: 7.0129 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7662 loss: 2.7662 2022/06/27 18:26:01 - mmengine - INFO - Epoch(train) [5][3280/3757] lr: 1.000e-02 eta: 1 day, 2:19:21 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 6.3084 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9351 loss: 2.9351 2022/06/27 18:26:05 - mmengine - INFO - Epoch(train) [5][3300/3757] lr: 1.000e-02 eta: 1 day, 2:19:04 time: 0.697 data_time: 0.006 memory: 5148 grad_norm: 5.9973 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.4884 loss: 2.4884 2022/06/27 18:26:11 - mmengine - INFO - Epoch(train) [5][3320/3757] lr: 1.000e-02 eta: 1 day, 2:18:57 time: 0.200 data_time: 0.019 memory: 5148 grad_norm: 5.4990 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5308 loss: 2.5308 2022/06/27 18:26:16 - mmengine - INFO - Epoch(train) [5][3340/3757] lr: 1.000e-02 eta: 1 day, 2:18:45 time: 0.201 data_time: 0.013 memory: 5148 grad_norm: 6.0974 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3605 loss: 2.3605 2022/06/27 18:26:20 - mmengine - INFO - Epoch(train) [5][3360/3757] lr: 1.000e-02 eta: 1 day, 2:18:30 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.4663 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6961 loss: 2.6961 2022/06/27 18:26:26 - mmengine - INFO - Epoch(train) [5][3380/3757] lr: 1.000e-02 eta: 1 day, 2:18:32 time: 0.584 data_time: 0.009 memory: 5148 grad_norm: 5.9886 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8380 loss: 2.8380 2022/06/27 18:26:31 - mmengine - INFO - Epoch(train) [5][3400/3757] lr: 1.000e-02 eta: 1 day, 2:18:25 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 4.8939 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6993 loss: 2.6993 2022/06/27 18:26:36 - mmengine - INFO - Epoch(train) [5][3420/3757] lr: 1.000e-02 eta: 1 day, 2:18:18 time: 0.190 data_time: 0.007 memory: 5148 grad_norm: 5.2262 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2965 loss: 2.2965 2022/06/27 18:26:42 - mmengine - INFO - Epoch(train) [5][3440/3757] lr: 1.000e-02 eta: 1 day, 2:18:15 time: 0.195 data_time: 0.012 memory: 5148 grad_norm: 5.2056 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8184 loss: 2.8184 2022/06/27 18:26:47 - mmengine - INFO - Epoch(train) [5][3460/3757] lr: 1.000e-02 eta: 1 day, 2:18:03 time: 0.195 data_time: 0.012 memory: 5148 grad_norm: 5.2689 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0652 loss: 3.0652 2022/06/27 18:26:52 - mmengine - INFO - Epoch(train) [5][3480/3757] lr: 1.000e-02 eta: 1 day, 2:17:59 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 5.3678 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5540 loss: 2.5540 2022/06/27 18:26:59 - mmengine - INFO - Epoch(train) [5][3500/3757] lr: 1.000e-02 eta: 1 day, 2:18:21 time: 0.231 data_time: 0.052 memory: 5148 grad_norm: 5.3466 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6722 loss: 2.6722 2022/06/27 18:27:03 - mmengine - INFO - Epoch(train) [5][3520/3757] lr: 1.000e-02 eta: 1 day, 2:17:53 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 6.1460 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2853 loss: 2.2853 2022/06/27 18:27:08 - mmengine - INFO - Epoch(train) [5][3540/3757] lr: 1.000e-02 eta: 1 day, 2:17:38 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.4782 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.7962 loss: 2.7962 2022/06/27 18:27:14 - mmengine - INFO - Epoch(train) [5][3560/3757] lr: 1.000e-02 eta: 1 day, 2:17:57 time: 0.213 data_time: 0.038 memory: 5148 grad_norm: 5.9758 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6378 loss: 2.6378 2022/06/27 18:27:19 - mmengine - INFO - Epoch(train) [5][3580/3757] lr: 1.000e-02 eta: 1 day, 2:17:45 time: 0.197 data_time: 0.015 memory: 5148 grad_norm: 5.3531 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3658 loss: 3.3658 2022/06/27 18:27:25 - mmengine - INFO - Epoch(train) [5][3600/3757] lr: 1.000e-02 eta: 1 day, 2:17:44 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.6796 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0589 loss: 3.0589 2022/06/27 18:27:31 - mmengine - INFO - Epoch(train) [5][3620/3757] lr: 1.000e-02 eta: 1 day, 2:17:46 time: 0.199 data_time: 0.005 memory: 5148 grad_norm: 5.9219 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3107 loss: 2.3107 2022/06/27 18:27:36 - mmengine - INFO - Epoch(train) [5][3640/3757] lr: 1.000e-02 eta: 1 day, 2:17:34 time: 0.201 data_time: 0.014 memory: 5148 grad_norm: 5.0489 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9004 loss: 2.9004 2022/06/27 18:27:41 - mmengine - INFO - Epoch(train) [5][3660/3757] lr: 1.000e-02 eta: 1 day, 2:17:33 time: 0.197 data_time: 0.013 memory: 5148 grad_norm: 5.5126 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2680 loss: 3.2680 2022/06/27 18:27:46 - mmengine - INFO - Epoch(train) [5][3680/3757] lr: 1.000e-02 eta: 1 day, 2:17:25 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 5.4154 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9032 loss: 2.9032 2022/06/27 18:27:51 - mmengine - INFO - Epoch(train) [5][3700/3757] lr: 1.000e-02 eta: 1 day, 2:17:05 time: 0.196 data_time: 0.012 memory: 5148 grad_norm: 5.5358 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9044 loss: 2.9044 2022/06/27 18:27:56 - mmengine - INFO - Epoch(train) [5][3720/3757] lr: 1.000e-02 eta: 1 day, 2:16:55 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 5.8916 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6931 loss: 2.6931 2022/06/27 18:28:01 - mmengine - INFO - Epoch(train) [5][3740/3757] lr: 1.000e-02 eta: 1 day, 2:16:47 time: 0.200 data_time: 0.019 memory: 5148 grad_norm: 5.8629 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1681 loss: 3.1681 2022/06/27 18:28:04 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 18:28:04 - mmengine - INFO - Saving checkpoint at 5 epochs 2022/06/27 18:28:13 - mmengine - INFO - Epoch(val) [5][20/310] eta: 0:01:14 time: 0.434 data_time: 0.355 memory: 5148 2022/06/27 18:28:17 - mmengine - INFO - Epoch(val) [5][40/310] eta: 0:01:05 time: 0.077 data_time: 0.005 memory: 1367 2022/06/27 18:28:23 - mmengine - INFO - Epoch(val) [5][60/310] eta: 0:01:01 time: 0.324 data_time: 0.247 memory: 1367 2022/06/27 18:28:28 - mmengine - INFO - Epoch(val) [5][80/310] eta: 0:00:56 time: 0.086 data_time: 0.009 memory: 1367 2022/06/27 18:28:34 - mmengine - INFO - Epoch(val) [5][100/310] eta: 0:00:51 time: 0.559 data_time: 0.480 memory: 1367 2022/06/27 18:28:38 - mmengine - INFO - Epoch(val) [5][120/310] eta: 0:00:42 time: 0.085 data_time: 0.008 memory: 1367 2022/06/27 18:28:45 - mmengine - INFO - Epoch(val) [5][140/310] eta: 0:00:59 time: 0.855 data_time: 0.774 memory: 1367 2022/06/27 18:28:49 - mmengine - INFO - Epoch(val) [5][160/310] eta: 0:00:32 time: 0.079 data_time: 0.008 memory: 1367 2022/06/27 18:28:55 - mmengine - INFO - Epoch(val) [5][180/310] eta: 0:00:49 time: 0.581 data_time: 0.507 memory: 1367 2022/06/27 18:29:00 - mmengine - INFO - Epoch(val) [5][200/310] eta: 0:00:24 time: 0.077 data_time: 0.005 memory: 1367 2022/06/27 18:29:06 - mmengine - INFO - Epoch(val) [5][220/310] eta: 0:00:37 time: 0.092 data_time: 0.006 memory: 1367 2022/06/27 18:29:11 - mmengine - INFO - Epoch(val) [5][240/310] eta: 0:00:15 time: 0.077 data_time: 0.005 memory: 1367 2022/06/27 18:29:17 - mmengine - INFO - Epoch(val) [5][260/310] eta: 0:00:18 time: 0.077 data_time: 0.004 memory: 1367 2022/06/27 18:29:22 - mmengine - INFO - Epoch(val) [5][280/310] eta: 0:00:07 time: 0.083 data_time: 0.005 memory: 1367 2022/06/27 18:29:26 - mmengine - INFO - Epoch(val) [5][300/310] eta: 0:00:02 time: 0.076 data_time: 0.005 memory: 1367 2022/06/27 18:29:29 - mmengine - INFO - Epoch(val) [5][310/310] acc/top1: 0.4375 acc/top5: 0.7147 acc/mean1: 0.4371 2022/06/27 18:29:37 - mmengine - INFO - Epoch(train) [6][20/3757] lr: 1.000e-02 eta: 1 day, 2:16:44 time: 0.193 data_time: 0.006 memory: 5148 grad_norm: 5.5933 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2849 loss: 2.2849 2022/06/27 18:29:43 - mmengine - INFO - Epoch(train) [6][40/3757] lr: 1.000e-02 eta: 1 day, 2:16:49 time: 0.193 data_time: 0.006 memory: 5148 grad_norm: 5.3764 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7489 loss: 2.7489 2022/06/27 18:29:48 - mmengine - INFO - Epoch(train) [6][60/3757] lr: 1.000e-02 eta: 1 day, 2:16:37 time: 0.188 data_time: 0.006 memory: 5148 grad_norm: 5.8018 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4646 loss: 2.4646 2022/06/27 18:29:54 - mmengine - INFO - Epoch(train) [6][80/3757] lr: 1.000e-02 eta: 1 day, 2:16:37 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 6.1253 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3503 loss: 2.3503 2022/06/27 18:29:59 - mmengine - INFO - Epoch(train) [6][100/3757] lr: 1.000e-02 eta: 1 day, 2:16:39 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 5.8877 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.0507 loss: 3.0507 2022/06/27 18:30:04 - mmengine - INFO - Epoch(train) [6][120/3757] lr: 1.000e-02 eta: 1 day, 2:16:30 time: 0.192 data_time: 0.008 memory: 5148 grad_norm: 5.4368 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6428 loss: 2.6428 2022/06/27 18:30:10 - mmengine - INFO - Epoch(train) [6][140/3757] lr: 1.000e-02 eta: 1 day, 2:16:26 time: 0.191 data_time: 0.010 memory: 5148 grad_norm: 6.0211 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6769 loss: 2.6769 2022/06/27 18:30:16 - mmengine - INFO - Epoch(train) [6][160/3757] lr: 1.000e-02 eta: 1 day, 2:16:35 time: 0.225 data_time: 0.009 memory: 5148 grad_norm: 5.8232 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8082 loss: 2.8082 2022/06/27 18:30:20 - mmengine - INFO - Epoch(train) [6][180/3757] lr: 1.000e-02 eta: 1 day, 2:16:12 time: 0.190 data_time: 0.007 memory: 5148 grad_norm: 6.9497 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9210 loss: 2.9210 2022/06/27 18:30:26 - mmengine - INFO - Epoch(train) [6][200/3757] lr: 1.000e-02 eta: 1 day, 2:16:16 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.5265 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2428 loss: 2.2428 2022/06/27 18:30:30 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 18:30:32 - mmengine - INFO - Epoch(train) [6][220/3757] lr: 1.000e-02 eta: 1 day, 2:16:18 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 5.5639 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.6069 loss: 3.6069 2022/06/27 18:30:36 - mmengine - INFO - Epoch(train) [6][240/3757] lr: 1.000e-02 eta: 1 day, 2:15:59 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.7943 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8642 loss: 2.8642 2022/06/27 18:30:42 - mmengine - INFO - Epoch(train) [6][260/3757] lr: 1.000e-02 eta: 1 day, 2:16:05 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.3008 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4034 loss: 2.4034 2022/06/27 18:30:48 - mmengine - INFO - Epoch(train) [6][280/3757] lr: 1.000e-02 eta: 1 day, 2:16:13 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 5.1983 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4711 loss: 2.4711 2022/06/27 18:30:53 - mmengine - INFO - Epoch(train) [6][300/3757] lr: 1.000e-02 eta: 1 day, 2:15:54 time: 0.190 data_time: 0.011 memory: 5148 grad_norm: 5.8365 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4627 loss: 2.4627 2022/06/27 18:30:58 - mmengine - INFO - Epoch(train) [6][320/3757] lr: 1.000e-02 eta: 1 day, 2:15:53 time: 0.189 data_time: 0.007 memory: 5148 grad_norm: 6.7175 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6170 loss: 2.6170 2022/06/27 18:31:04 - mmengine - INFO - Epoch(train) [6][340/3757] lr: 1.000e-02 eta: 1 day, 2:15:53 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 5.4033 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.7950 loss: 2.7950 2022/06/27 18:31:09 - mmengine - INFO - Epoch(train) [6][360/3757] lr: 1.000e-02 eta: 1 day, 2:15:41 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 6.4984 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4500 loss: 2.4500 2022/06/27 18:31:15 - mmengine - INFO - Epoch(train) [6][380/3757] lr: 1.000e-02 eta: 1 day, 2:15:47 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 5.4867 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5353 loss: 2.5353 2022/06/27 18:31:20 - mmengine - INFO - Epoch(train) [6][400/3757] lr: 1.000e-02 eta: 1 day, 2:15:44 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 6.3397 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.6239 loss: 2.6239 2022/06/27 18:31:25 - mmengine - INFO - Epoch(train) [6][420/3757] lr: 1.000e-02 eta: 1 day, 2:15:32 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.3289 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7719 loss: 2.7719 2022/06/27 18:31:31 - mmengine - INFO - Epoch(train) [6][440/3757] lr: 1.000e-02 eta: 1 day, 2:15:32 time: 0.186 data_time: 0.007 memory: 5148 grad_norm: 5.2290 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5047 loss: 2.5047 2022/06/27 18:31:36 - mmengine - INFO - Epoch(train) [6][460/3757] lr: 1.000e-02 eta: 1 day, 2:15:36 time: 0.212 data_time: 0.006 memory: 5148 grad_norm: 5.5186 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4209 loss: 2.4209 2022/06/27 18:31:41 - mmengine - INFO - Epoch(train) [6][480/3757] lr: 1.000e-02 eta: 1 day, 2:15:13 time: 0.191 data_time: 0.006 memory: 5148 grad_norm: 5.7721 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8312 loss: 2.8312 2022/06/27 18:31:46 - mmengine - INFO - Epoch(train) [6][500/3757] lr: 1.000e-02 eta: 1 day, 2:15:05 time: 0.192 data_time: 0.010 memory: 5148 grad_norm: 6.0671 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.6632 loss: 2.6632 2022/06/27 18:31:52 - mmengine - INFO - Epoch(train) [6][520/3757] lr: 1.000e-02 eta: 1 day, 2:15:07 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 5.9908 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7024 loss: 2.7024 2022/06/27 18:31:57 - mmengine - INFO - Epoch(train) [6][540/3757] lr: 1.000e-02 eta: 1 day, 2:14:56 time: 0.192 data_time: 0.006 memory: 5148 grad_norm: 5.6174 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5742 loss: 2.5742 2022/06/27 18:32:02 - mmengine - INFO - Epoch(train) [6][560/3757] lr: 1.000e-02 eta: 1 day, 2:14:57 time: 0.192 data_time: 0.006 memory: 5148 grad_norm: 5.6216 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6876 loss: 2.6876 2022/06/27 18:32:08 - mmengine - INFO - Epoch(train) [6][580/3757] lr: 1.000e-02 eta: 1 day, 2:15:00 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 5.6722 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6426 loss: 2.6426 2022/06/27 18:32:13 - mmengine - INFO - Epoch(train) [6][600/3757] lr: 1.000e-02 eta: 1 day, 2:14:42 time: 0.221 data_time: 0.007 memory: 5148 grad_norm: 6.2581 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7092 loss: 2.7092 2022/06/27 18:32:18 - mmengine - INFO - Epoch(train) [6][620/3757] lr: 1.000e-02 eta: 1 day, 2:14:39 time: 0.244 data_time: 0.013 memory: 5148 grad_norm: 5.3415 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3481 loss: 2.3481 2022/06/27 18:32:24 - mmengine - INFO - Epoch(train) [6][640/3757] lr: 1.000e-02 eta: 1 day, 2:14:36 time: 0.213 data_time: 0.006 memory: 5148 grad_norm: 4.9580 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9121 loss: 2.9121 2022/06/27 18:32:29 - mmengine - INFO - Epoch(train) [6][660/3757] lr: 1.000e-02 eta: 1 day, 2:14:36 time: 0.198 data_time: 0.013 memory: 5148 grad_norm: 6.3489 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4686 loss: 2.4686 2022/06/27 18:32:34 - mmengine - INFO - Epoch(train) [6][680/3757] lr: 1.000e-02 eta: 1 day, 2:14:31 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.6520 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0670 loss: 3.0670 2022/06/27 18:32:40 - mmengine - INFO - Epoch(train) [6][700/3757] lr: 1.000e-02 eta: 1 day, 2:14:34 time: 0.211 data_time: 0.005 memory: 5148 grad_norm: 5.7625 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9881 loss: 2.9881 2022/06/27 18:32:46 - mmengine - INFO - Epoch(train) [6][720/3757] lr: 1.000e-02 eta: 1 day, 2:14:33 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 5.3907 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6185 loss: 2.6185 2022/06/27 18:32:50 - mmengine - INFO - Epoch(train) [6][740/3757] lr: 1.000e-02 eta: 1 day, 2:14:15 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 5.9193 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9279 loss: 2.9279 2022/06/27 18:32:56 - mmengine - INFO - Epoch(train) [6][760/3757] lr: 1.000e-02 eta: 1 day, 2:14:16 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.2953 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5627 loss: 2.5627 2022/06/27 18:33:01 - mmengine - INFO - Epoch(train) [6][780/3757] lr: 1.000e-02 eta: 1 day, 2:14:12 time: 0.188 data_time: 0.009 memory: 5148 grad_norm: 5.8468 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5363 loss: 2.5363 2022/06/27 18:33:06 - mmengine - INFO - Epoch(train) [6][800/3757] lr: 1.000e-02 eta: 1 day, 2:13:59 time: 0.190 data_time: 0.006 memory: 5148 grad_norm: 5.3800 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5850 loss: 2.5850 2022/06/27 18:33:12 - mmengine - INFO - Epoch(train) [6][820/3757] lr: 1.000e-02 eta: 1 day, 2:14:04 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 5.9217 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5155 loss: 2.5155 2022/06/27 18:33:18 - mmengine - INFO - Epoch(train) [6][840/3757] lr: 1.000e-02 eta: 1 day, 2:14:11 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 6.5044 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3828 loss: 2.3828 2022/06/27 18:33:22 - mmengine - INFO - Epoch(train) [6][860/3757] lr: 1.000e-02 eta: 1 day, 2:13:43 time: 0.193 data_time: 0.008 memory: 5148 grad_norm: 5.4261 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5739 loss: 2.5739 2022/06/27 18:33:28 - mmengine - INFO - Epoch(train) [6][880/3757] lr: 1.000e-02 eta: 1 day, 2:13:50 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 6.1687 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6081 loss: 2.6081 2022/06/27 18:33:34 - mmengine - INFO - Epoch(train) [6][900/3757] lr: 1.000e-02 eta: 1 day, 2:13:46 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 5.4392 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4795 loss: 2.4795 2022/06/27 18:33:39 - mmengine - INFO - Epoch(train) [6][920/3757] lr: 1.000e-02 eta: 1 day, 2:13:45 time: 0.190 data_time: 0.010 memory: 5148 grad_norm: 6.1155 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1531 loss: 3.1531 2022/06/27 18:33:44 - mmengine - INFO - Epoch(train) [6][940/3757] lr: 1.000e-02 eta: 1 day, 2:13:29 time: 0.203 data_time: 0.012 memory: 5148 grad_norm: 5.6108 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8056 loss: 2.8056 2022/06/27 18:33:49 - mmengine - INFO - Epoch(train) [6][960/3757] lr: 1.000e-02 eta: 1 day, 2:13:26 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 5.9905 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5720 loss: 2.5720 2022/06/27 18:33:54 - mmengine - INFO - Epoch(train) [6][980/3757] lr: 1.000e-02 eta: 1 day, 2:13:11 time: 0.194 data_time: 0.014 memory: 5148 grad_norm: 5.4731 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3846 loss: 2.3846 2022/06/27 18:34:00 - mmengine - INFO - Epoch(train) [6][1000/3757] lr: 1.000e-02 eta: 1 day, 2:13:23 time: 0.196 data_time: 0.006 memory: 5148 grad_norm: 5.7806 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3116 loss: 2.3116 2022/06/27 18:34:05 - mmengine - INFO - Epoch(train) [6][1020/3757] lr: 1.000e-02 eta: 1 day, 2:13:05 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 5.4910 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3225 loss: 2.3225 2022/06/27 18:34:09 - mmengine - INFO - Epoch(train) [6][1040/3757] lr: 1.000e-02 eta: 1 day, 2:12:44 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 5.7427 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7011 loss: 2.7011 2022/06/27 18:34:15 - mmengine - INFO - Epoch(train) [6][1060/3757] lr: 1.000e-02 eta: 1 day, 2:12:38 time: 0.207 data_time: 0.012 memory: 5148 grad_norm: 5.5079 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7023 loss: 2.7023 2022/06/27 18:34:20 - mmengine - INFO - Epoch(train) [6][1080/3757] lr: 1.000e-02 eta: 1 day, 2:12:32 time: 0.186 data_time: 0.011 memory: 5148 grad_norm: 5.8924 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6779 loss: 2.6779 2022/06/27 18:34:25 - mmengine - INFO - Epoch(train) [6][1100/3757] lr: 1.000e-02 eta: 1 day, 2:12:26 time: 0.342 data_time: 0.010 memory: 5148 grad_norm: 4.8635 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5232 loss: 2.5232 2022/06/27 18:34:30 - mmengine - INFO - Epoch(train) [6][1120/3757] lr: 1.000e-02 eta: 1 day, 2:12:20 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.4532 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3797 loss: 2.3797 2022/06/27 18:34:37 - mmengine - INFO - Epoch(train) [6][1140/3757] lr: 1.000e-02 eta: 1 day, 2:12:30 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.3828 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7055 loss: 2.7055 2022/06/27 18:34:42 - mmengine - INFO - Epoch(train) [6][1160/3757] lr: 1.000e-02 eta: 1 day, 2:12:20 time: 0.211 data_time: 0.010 memory: 5148 grad_norm: 5.6986 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1759 loss: 3.1759 2022/06/27 18:34:47 - mmengine - INFO - Epoch(train) [6][1180/3757] lr: 1.000e-02 eta: 1 day, 2:12:24 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 5.3927 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4670 loss: 2.4670 2022/06/27 18:34:53 - mmengine - INFO - Epoch(train) [6][1200/3757] lr: 1.000e-02 eta: 1 day, 2:12:20 time: 0.211 data_time: 0.019 memory: 5148 grad_norm: 6.1960 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3577 loss: 2.3577 2022/06/27 18:34:57 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 18:34:58 - mmengine - INFO - Epoch(train) [6][1220/3757] lr: 1.000e-02 eta: 1 day, 2:12:05 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 5.5246 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 2.5862 loss: 2.5862 2022/06/27 18:35:04 - mmengine - INFO - Epoch(train) [6][1240/3757] lr: 1.000e-02 eta: 1 day, 2:12:14 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 6.0938 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7333 loss: 2.7333 2022/06/27 18:35:09 - mmengine - INFO - Epoch(train) [6][1260/3757] lr: 1.000e-02 eta: 1 day, 2:12:04 time: 0.211 data_time: 0.020 memory: 5148 grad_norm: 6.2130 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.0843 loss: 3.0843 2022/06/27 18:35:14 - mmengine - INFO - Epoch(train) [6][1280/3757] lr: 1.000e-02 eta: 1 day, 2:12:04 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.2876 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2842 loss: 2.2842 2022/06/27 18:35:20 - mmengine - INFO - Epoch(train) [6][1300/3757] lr: 1.000e-02 eta: 1 day, 2:11:57 time: 0.196 data_time: 0.006 memory: 5148 grad_norm: 5.5812 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7683 loss: 2.7683 2022/06/27 18:35:25 - mmengine - INFO - Epoch(train) [6][1320/3757] lr: 1.000e-02 eta: 1 day, 2:11:53 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 4.7979 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.7038 loss: 2.7038 2022/06/27 18:35:31 - mmengine - INFO - Epoch(train) [6][1340/3757] lr: 1.000e-02 eta: 1 day, 2:12:06 time: 0.191 data_time: 0.012 memory: 5148 grad_norm: 6.1758 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6871 loss: 2.6871 2022/06/27 18:35:36 - mmengine - INFO - Epoch(train) [6][1360/3757] lr: 1.000e-02 eta: 1 day, 2:11:48 time: 0.190 data_time: 0.007 memory: 5148 grad_norm: 5.8458 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5670 loss: 2.5670 2022/06/27 18:35:42 - mmengine - INFO - Epoch(train) [6][1380/3757] lr: 1.000e-02 eta: 1 day, 2:11:53 time: 0.192 data_time: 0.006 memory: 5148 grad_norm: 6.1785 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2094 loss: 2.2094 2022/06/27 18:35:47 - mmengine - INFO - Epoch(train) [6][1400/3757] lr: 1.000e-02 eta: 1 day, 2:11:50 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 5.2674 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5141 loss: 2.5141 2022/06/27 18:35:52 - mmengine - INFO - Epoch(train) [6][1420/3757] lr: 1.000e-02 eta: 1 day, 2:11:34 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 5.2320 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8657 loss: 2.8657 2022/06/27 18:35:57 - mmengine - INFO - Epoch(train) [6][1440/3757] lr: 1.000e-02 eta: 1 day, 2:11:30 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 5.3901 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7904 loss: 2.7904 2022/06/27 18:36:03 - mmengine - INFO - Epoch(train) [6][1460/3757] lr: 1.000e-02 eta: 1 day, 2:11:28 time: 0.188 data_time: 0.015 memory: 5148 grad_norm: 5.9520 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6412 loss: 2.6412 2022/06/27 18:36:08 - mmengine - INFO - Epoch(train) [6][1480/3757] lr: 1.000e-02 eta: 1 day, 2:11:15 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 5.0353 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4076 loss: 2.4076 2022/06/27 18:36:13 - mmengine - INFO - Epoch(train) [6][1500/3757] lr: 1.000e-02 eta: 1 day, 2:11:17 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 5.8724 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8329 loss: 2.8329 2022/06/27 18:36:19 - mmengine - INFO - Epoch(train) [6][1520/3757] lr: 1.000e-02 eta: 1 day, 2:11:16 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 5.8147 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4756 loss: 2.4756 2022/06/27 18:36:24 - mmengine - INFO - Epoch(train) [6][1540/3757] lr: 1.000e-02 eta: 1 day, 2:11:02 time: 0.198 data_time: 0.009 memory: 5148 grad_norm: 6.0732 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6495 loss: 2.6495 2022/06/27 18:36:30 - mmengine - INFO - Epoch(train) [6][1560/3757] lr: 1.000e-02 eta: 1 day, 2:11:14 time: 0.214 data_time: 0.006 memory: 5148 grad_norm: 5.6833 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1550 loss: 2.1550 2022/06/27 18:36:34 - mmengine - INFO - Epoch(train) [6][1580/3757] lr: 1.000e-02 eta: 1 day, 2:10:46 time: 0.192 data_time: 0.011 memory: 5148 grad_norm: 5.3544 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6361 loss: 2.6361 2022/06/27 18:36:39 - mmengine - INFO - Epoch(train) [6][1600/3757] lr: 1.000e-02 eta: 1 day, 2:10:34 time: 0.190 data_time: 0.006 memory: 5148 grad_norm: 5.3789 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8170 loss: 2.8170 2022/06/27 18:36:44 - mmengine - INFO - Epoch(train) [6][1620/3757] lr: 1.000e-02 eta: 1 day, 2:10:30 time: 0.208 data_time: 0.013 memory: 5148 grad_norm: 5.8999 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6312 loss: 2.6312 2022/06/27 18:36:50 - mmengine - INFO - Epoch(train) [6][1640/3757] lr: 1.000e-02 eta: 1 day, 2:10:25 time: 0.194 data_time: 0.019 memory: 5148 grad_norm: 5.8075 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2335 loss: 3.2335 2022/06/27 18:36:55 - mmengine - INFO - Epoch(train) [6][1660/3757] lr: 1.000e-02 eta: 1 day, 2:10:19 time: 0.199 data_time: 0.012 memory: 5148 grad_norm: 5.3438 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4459 loss: 2.4459 2022/06/27 18:37:00 - mmengine - INFO - Epoch(train) [6][1680/3757] lr: 1.000e-02 eta: 1 day, 2:10:15 time: 0.194 data_time: 0.016 memory: 5148 grad_norm: 5.4550 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6048 loss: 2.6048 2022/06/27 18:37:06 - mmengine - INFO - Epoch(train) [6][1700/3757] lr: 1.000e-02 eta: 1 day, 2:10:11 time: 0.194 data_time: 0.017 memory: 5148 grad_norm: 5.7733 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8839 loss: 2.8839 2022/06/27 18:37:11 - mmengine - INFO - Epoch(train) [6][1720/3757] lr: 1.000e-02 eta: 1 day, 2:10:08 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.8551 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7545 loss: 2.7545 2022/06/27 18:37:16 - mmengine - INFO - Epoch(train) [6][1740/3757] lr: 1.000e-02 eta: 1 day, 2:09:58 time: 0.202 data_time: 0.018 memory: 5148 grad_norm: 6.0422 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5789 loss: 2.5789 2022/06/27 18:37:22 - mmengine - INFO - Epoch(train) [6][1760/3757] lr: 1.000e-02 eta: 1 day, 2:09:54 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 5.4761 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8060 loss: 2.8060 2022/06/27 18:37:27 - mmengine - INFO - Epoch(train) [6][1780/3757] lr: 1.000e-02 eta: 1 day, 2:09:46 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.1632 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4563 loss: 2.4563 2022/06/27 18:37:32 - mmengine - INFO - Epoch(train) [6][1800/3757] lr: 1.000e-02 eta: 1 day, 2:09:45 time: 0.675 data_time: 0.009 memory: 5148 grad_norm: 6.0275 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9756 loss: 2.9756 2022/06/27 18:37:37 - mmengine - INFO - Epoch(train) [6][1820/3757] lr: 1.000e-02 eta: 1 day, 2:09:32 time: 0.193 data_time: 0.006 memory: 5148 grad_norm: 5.9577 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8927 loss: 2.8927 2022/06/27 18:37:42 - mmengine - INFO - Epoch(train) [6][1840/3757] lr: 1.000e-02 eta: 1 day, 2:09:28 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 5.2738 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8764 loss: 2.8764 2022/06/27 18:37:48 - mmengine - INFO - Epoch(train) [6][1860/3757] lr: 1.000e-02 eta: 1 day, 2:09:24 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 6.0585 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2788 loss: 2.2788 2022/06/27 18:37:53 - mmengine - INFO - Epoch(train) [6][1880/3757] lr: 1.000e-02 eta: 1 day, 2:09:18 time: 0.190 data_time: 0.006 memory: 5148 grad_norm: 6.6984 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9705 loss: 2.9705 2022/06/27 18:37:59 - mmengine - INFO - Epoch(train) [6][1900/3757] lr: 1.000e-02 eta: 1 day, 2:09:16 time: 0.203 data_time: 0.009 memory: 5148 grad_norm: 5.3946 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4985 loss: 2.4985 2022/06/27 18:38:04 - mmengine - INFO - Epoch(train) [6][1920/3757] lr: 1.000e-02 eta: 1 day, 2:09:13 time: 0.191 data_time: 0.006 memory: 5148 grad_norm: 5.3294 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6419 loss: 2.6419 2022/06/27 18:38:09 - mmengine - INFO - Epoch(train) [6][1940/3757] lr: 1.000e-02 eta: 1 day, 2:09:02 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.4780 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4030 loss: 2.4030 2022/06/27 18:38:15 - mmengine - INFO - Epoch(train) [6][1960/3757] lr: 1.000e-02 eta: 1 day, 2:09:03 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 5.7181 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3162 loss: 2.3162 2022/06/27 18:38:20 - mmengine - INFO - Epoch(train) [6][1980/3757] lr: 1.000e-02 eta: 1 day, 2:08:52 time: 0.388 data_time: 0.007 memory: 5148 grad_norm: 5.8849 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.6850 loss: 2.6850 2022/06/27 18:38:25 - mmengine - INFO - Epoch(train) [6][2000/3757] lr: 1.000e-02 eta: 1 day, 2:08:46 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 5.6366 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2641 loss: 2.2641 2022/06/27 18:38:31 - mmengine - INFO - Epoch(train) [6][2020/3757] lr: 1.000e-02 eta: 1 day, 2:08:50 time: 0.190 data_time: 0.006 memory: 5148 grad_norm: 5.8863 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3405 loss: 2.3405 2022/06/27 18:38:36 - mmengine - INFO - Epoch(train) [6][2040/3757] lr: 1.000e-02 eta: 1 day, 2:08:39 time: 0.504 data_time: 0.009 memory: 5148 grad_norm: 5.5556 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8901 loss: 2.8901 2022/06/27 18:38:41 - mmengine - INFO - Epoch(train) [6][2060/3757] lr: 1.000e-02 eta: 1 day, 2:08:28 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 6.1685 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2182 loss: 2.2182 2022/06/27 18:38:47 - mmengine - INFO - Epoch(train) [6][2080/3757] lr: 1.000e-02 eta: 1 day, 2:08:36 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 6.2498 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7922 loss: 2.7922 2022/06/27 18:38:52 - mmengine - INFO - Epoch(train) [6][2100/3757] lr: 1.000e-02 eta: 1 day, 2:08:23 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 6.1197 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.7554 loss: 2.7554 2022/06/27 18:38:58 - mmengine - INFO - Epoch(train) [6][2120/3757] lr: 1.000e-02 eta: 1 day, 2:08:27 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.2175 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6687 loss: 2.6687 2022/06/27 18:39:03 - mmengine - INFO - Epoch(train) [6][2140/3757] lr: 1.000e-02 eta: 1 day, 2:08:22 time: 0.187 data_time: 0.007 memory: 5148 grad_norm: 5.8793 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0036 loss: 3.0036 2022/06/27 18:39:08 - mmengine - INFO - Epoch(train) [6][2160/3757] lr: 1.000e-02 eta: 1 day, 2:08:07 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.9709 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3771 loss: 2.3771 2022/06/27 18:39:13 - mmengine - INFO - Epoch(train) [6][2180/3757] lr: 1.000e-02 eta: 1 day, 2:08:01 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.0398 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2885 loss: 2.2885 2022/06/27 18:39:19 - mmengine - INFO - Epoch(train) [6][2200/3757] lr: 1.000e-02 eta: 1 day, 2:08:12 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 5.9690 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7156 loss: 2.7156 2022/06/27 18:39:23 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 18:39:24 - mmengine - INFO - Epoch(train) [6][2220/3757] lr: 1.000e-02 eta: 1 day, 2:08:05 time: 0.220 data_time: 0.007 memory: 5148 grad_norm: 5.6111 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5901 loss: 2.5901 2022/06/27 18:39:30 - mmengine - INFO - Epoch(train) [6][2240/3757] lr: 1.000e-02 eta: 1 day, 2:07:57 time: 0.190 data_time: 0.007 memory: 5148 grad_norm: 5.6985 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5497 loss: 2.5497 2022/06/27 18:39:35 - mmengine - INFO - Epoch(train) [6][2260/3757] lr: 1.000e-02 eta: 1 day, 2:07:56 time: 0.193 data_time: 0.006 memory: 5148 grad_norm: 5.8585 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6982 loss: 2.6982 2022/06/27 18:39:40 - mmengine - INFO - Epoch(train) [6][2280/3757] lr: 1.000e-02 eta: 1 day, 2:07:48 time: 0.197 data_time: 0.009 memory: 5148 grad_norm: 5.8161 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7986 loss: 2.7986 2022/06/27 18:39:45 - mmengine - INFO - Epoch(train) [6][2300/3757] lr: 1.000e-02 eta: 1 day, 2:07:39 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.6732 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8666 loss: 2.8666 2022/06/27 18:39:51 - mmengine - INFO - Epoch(train) [6][2320/3757] lr: 1.000e-02 eta: 1 day, 2:07:41 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.5072 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6559 loss: 2.6559 2022/06/27 18:39:57 - mmengine - INFO - Epoch(train) [6][2340/3757] lr: 1.000e-02 eta: 1 day, 2:07:40 time: 0.198 data_time: 0.013 memory: 5148 grad_norm: 6.9209 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8791 loss: 2.8791 2022/06/27 18:40:01 - mmengine - INFO - Epoch(train) [6][2360/3757] lr: 1.000e-02 eta: 1 day, 2:07:27 time: 0.196 data_time: 0.006 memory: 5148 grad_norm: 5.9634 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8205 loss: 2.8205 2022/06/27 18:40:07 - mmengine - INFO - Epoch(train) [6][2380/3757] lr: 1.000e-02 eta: 1 day, 2:07:29 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.8784 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6920 loss: 2.6920 2022/06/27 18:40:12 - mmengine - INFO - Epoch(train) [6][2400/3757] lr: 1.000e-02 eta: 1 day, 2:07:23 time: 0.191 data_time: 0.013 memory: 5148 grad_norm: 5.2610 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5593 loss: 2.5593 2022/06/27 18:40:17 - mmengine - INFO - Epoch(train) [6][2420/3757] lr: 1.000e-02 eta: 1 day, 2:07:08 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 4.7902 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8872 loss: 2.8872 2022/06/27 18:40:22 - mmengine - INFO - Epoch(train) [6][2440/3757] lr: 1.000e-02 eta: 1 day, 2:07:03 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 5.3294 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5399 loss: 2.5399 2022/06/27 18:40:29 - mmengine - INFO - Epoch(train) [6][2460/3757] lr: 1.000e-02 eta: 1 day, 2:07:20 time: 0.202 data_time: 0.012 memory: 5148 grad_norm: 5.3012 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5332 loss: 2.5332 2022/06/27 18:40:33 - mmengine - INFO - Epoch(train) [6][2480/3757] lr: 1.000e-02 eta: 1 day, 2:06:55 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.3487 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.6915 loss: 2.6915 2022/06/27 18:40:38 - mmengine - INFO - Epoch(train) [6][2500/3757] lr: 1.000e-02 eta: 1 day, 2:06:39 time: 0.192 data_time: 0.012 memory: 5148 grad_norm: 5.0011 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3804 loss: 2.3804 2022/06/27 18:40:43 - mmengine - INFO - Epoch(train) [6][2520/3757] lr: 1.000e-02 eta: 1 day, 2:06:37 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 5.8299 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6599 loss: 2.6599 2022/06/27 18:40:49 - mmengine - INFO - Epoch(train) [6][2540/3757] lr: 1.000e-02 eta: 1 day, 2:06:28 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 6.2616 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5010 loss: 2.5010 2022/06/27 18:40:55 - mmengine - INFO - Epoch(train) [6][2560/3757] lr: 1.000e-02 eta: 1 day, 2:06:37 time: 0.199 data_time: 0.022 memory: 5148 grad_norm: 5.4827 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6694 loss: 2.6694 2022/06/27 18:41:00 - mmengine - INFO - Epoch(train) [6][2580/3757] lr: 1.000e-02 eta: 1 day, 2:06:28 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.3352 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7358 loss: 2.7358 2022/06/27 18:41:04 - mmengine - INFO - Epoch(train) [6][2600/3757] lr: 1.000e-02 eta: 1 day, 2:06:11 time: 0.190 data_time: 0.006 memory: 5148 grad_norm: 5.5000 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4414 loss: 2.4414 2022/06/27 18:41:11 - mmengine - INFO - Epoch(train) [6][2620/3757] lr: 1.000e-02 eta: 1 day, 2:06:21 time: 0.226 data_time: 0.029 memory: 5148 grad_norm: 5.0573 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5280 loss: 2.5280 2022/06/27 18:41:16 - mmengine - INFO - Epoch(train) [6][2640/3757] lr: 1.000e-02 eta: 1 day, 2:06:15 time: 0.207 data_time: 0.009 memory: 5148 grad_norm: 5.6117 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9221 loss: 2.9221 2022/06/27 18:41:21 - mmengine - INFO - Epoch(train) [6][2660/3757] lr: 1.000e-02 eta: 1 day, 2:06:04 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 5.6625 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3256 loss: 2.3256 2022/06/27 18:41:26 - mmengine - INFO - Epoch(train) [6][2680/3757] lr: 1.000e-02 eta: 1 day, 2:06:02 time: 0.195 data_time: 0.017 memory: 5148 grad_norm: 5.6724 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6750 loss: 2.6750 2022/06/27 18:41:32 - mmengine - INFO - Epoch(train) [6][2700/3757] lr: 1.000e-02 eta: 1 day, 2:06:02 time: 0.204 data_time: 0.018 memory: 5148 grad_norm: 5.3846 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8777 loss: 2.8777 2022/06/27 18:41:37 - mmengine - INFO - Epoch(train) [6][2720/3757] lr: 1.000e-02 eta: 1 day, 2:05:47 time: 0.199 data_time: 0.013 memory: 5148 grad_norm: 5.3510 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2949 loss: 2.2949 2022/06/27 18:41:42 - mmengine - INFO - Epoch(train) [6][2740/3757] lr: 1.000e-02 eta: 1 day, 2:05:45 time: 0.199 data_time: 0.014 memory: 5148 grad_norm: 5.8414 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5478 loss: 2.5478 2022/06/27 18:41:48 - mmengine - INFO - Epoch(train) [6][2760/3757] lr: 1.000e-02 eta: 1 day, 2:05:44 time: 0.204 data_time: 0.012 memory: 5148 grad_norm: 5.1411 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3820 loss: 2.3820 2022/06/27 18:41:53 - mmengine - INFO - Epoch(train) [6][2780/3757] lr: 1.000e-02 eta: 1 day, 2:05:30 time: 0.199 data_time: 0.014 memory: 5148 grad_norm: 5.6059 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0468 loss: 2.0468 2022/06/27 18:41:58 - mmengine - INFO - Epoch(train) [6][2800/3757] lr: 1.000e-02 eta: 1 day, 2:05:26 time: 0.205 data_time: 0.016 memory: 5148 grad_norm: 5.8848 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1858 loss: 2.1858 2022/06/27 18:42:03 - mmengine - INFO - Epoch(train) [6][2820/3757] lr: 1.000e-02 eta: 1 day, 2:05:20 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.7120 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3810 loss: 2.3810 2022/06/27 18:42:08 - mmengine - INFO - Epoch(train) [6][2840/3757] lr: 1.000e-02 eta: 1 day, 2:05:11 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.2786 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4447 loss: 2.4447 2022/06/27 18:42:14 - mmengine - INFO - Epoch(train) [6][2860/3757] lr: 1.000e-02 eta: 1 day, 2:05:09 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 5.5839 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8429 loss: 2.8429 2022/06/27 18:42:20 - mmengine - INFO - Epoch(train) [6][2880/3757] lr: 1.000e-02 eta: 1 day, 2:05:12 time: 0.209 data_time: 0.012 memory: 5148 grad_norm: 6.2252 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7516 loss: 2.7516 2022/06/27 18:42:24 - mmengine - INFO - Epoch(train) [6][2900/3757] lr: 1.000e-02 eta: 1 day, 2:04:58 time: 0.191 data_time: 0.010 memory: 5148 grad_norm: 5.7672 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7134 loss: 2.7134 2022/06/27 18:42:31 - mmengine - INFO - Epoch(train) [6][2920/3757] lr: 1.000e-02 eta: 1 day, 2:05:14 time: 0.203 data_time: 0.012 memory: 5148 grad_norm: 5.0752 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5123 loss: 2.5123 2022/06/27 18:42:35 - mmengine - INFO - Epoch(train) [6][2940/3757] lr: 1.000e-02 eta: 1 day, 2:04:48 time: 0.192 data_time: 0.009 memory: 5148 grad_norm: 5.4514 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.0255 loss: 3.0255 2022/06/27 18:42:40 - mmengine - INFO - Epoch(train) [6][2960/3757] lr: 1.000e-02 eta: 1 day, 2:04:30 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 5.4027 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3291 loss: 2.3291 2022/06/27 18:42:45 - mmengine - INFO - Epoch(train) [6][2980/3757] lr: 1.000e-02 eta: 1 day, 2:04:32 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 5.9046 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5020 loss: 2.5020 2022/06/27 18:42:51 - mmengine - INFO - Epoch(train) [6][3000/3757] lr: 1.000e-02 eta: 1 day, 2:04:30 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 5.4198 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6231 loss: 2.6231 2022/06/27 18:42:55 - mmengine - INFO - Epoch(train) [6][3020/3757] lr: 1.000e-02 eta: 1 day, 2:04:11 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.9111 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3078 loss: 2.3078 2022/06/27 18:43:01 - mmengine - INFO - Epoch(train) [6][3040/3757] lr: 1.000e-02 eta: 1 day, 2:04:10 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.5392 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5629 loss: 2.5629 2022/06/27 18:43:07 - mmengine - INFO - Epoch(train) [6][3060/3757] lr: 1.000e-02 eta: 1 day, 2:04:11 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.6186 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3920 loss: 2.3920 2022/06/27 18:43:12 - mmengine - INFO - Epoch(train) [6][3080/3757] lr: 1.000e-02 eta: 1 day, 2:04:05 time: 0.202 data_time: 0.013 memory: 5148 grad_norm: 5.6086 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2599 loss: 2.2599 2022/06/27 18:43:17 - mmengine - INFO - Epoch(train) [6][3100/3757] lr: 1.000e-02 eta: 1 day, 2:03:55 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.4792 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0425 loss: 3.0425 2022/06/27 18:43:23 - mmengine - INFO - Epoch(train) [6][3120/3757] lr: 1.000e-02 eta: 1 day, 2:03:59 time: 0.189 data_time: 0.007 memory: 5148 grad_norm: 5.5212 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0841 loss: 3.0841 2022/06/27 18:43:28 - mmengine - INFO - Epoch(train) [6][3140/3757] lr: 1.000e-02 eta: 1 day, 2:03:47 time: 0.214 data_time: 0.006 memory: 5148 grad_norm: 5.4952 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6807 loss: 2.6807 2022/06/27 18:43:33 - mmengine - INFO - Epoch(train) [6][3160/3757] lr: 1.000e-02 eta: 1 day, 2:03:45 time: 0.192 data_time: 0.005 memory: 5148 grad_norm: 5.8186 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6504 loss: 2.6504 2022/06/27 18:43:38 - mmengine - INFO - Epoch(train) [6][3180/3757] lr: 1.000e-02 eta: 1 day, 2:03:35 time: 0.194 data_time: 0.013 memory: 5148 grad_norm: 6.5505 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9563 loss: 2.9563 2022/06/27 18:43:43 - mmengine - INFO - Epoch(train) [6][3200/3757] lr: 1.000e-02 eta: 1 day, 2:03:18 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 5.5655 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3497 loss: 2.3497 2022/06/27 18:43:48 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 18:43:49 - mmengine - INFO - Epoch(train) [6][3220/3757] lr: 1.000e-02 eta: 1 day, 2:03:21 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.5231 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0287 loss: 2.0287 2022/06/27 18:43:54 - mmengine - INFO - Epoch(train) [6][3240/3757] lr: 1.000e-02 eta: 1 day, 2:03:24 time: 0.213 data_time: 0.040 memory: 5148 grad_norm: 5.5893 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7016 loss: 2.7016 2022/06/27 18:43:59 - mmengine - INFO - Epoch(train) [6][3260/3757] lr: 1.000e-02 eta: 1 day, 2:03:12 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 5.7302 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0273 loss: 3.0273 2022/06/27 18:44:04 - mmengine - INFO - Epoch(train) [6][3280/3757] lr: 1.000e-02 eta: 1 day, 2:02:56 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 5.0069 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6438 loss: 2.6438 2022/06/27 18:44:10 - mmengine - INFO - Epoch(train) [6][3300/3757] lr: 1.000e-02 eta: 1 day, 2:03:03 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 5.4954 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4423 loss: 2.4423 2022/06/27 18:44:15 - mmengine - INFO - Epoch(train) [6][3320/3757] lr: 1.000e-02 eta: 1 day, 2:02:49 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 4.6915 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1497 loss: 2.1497 2022/06/27 18:44:20 - mmengine - INFO - Epoch(train) [6][3340/3757] lr: 1.000e-02 eta: 1 day, 2:02:43 time: 0.197 data_time: 0.012 memory: 5148 grad_norm: 5.9188 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5540 loss: 2.5540 2022/06/27 18:44:25 - mmengine - INFO - Epoch(train) [6][3360/3757] lr: 1.000e-02 eta: 1 day, 2:02:39 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 5.4467 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4571 loss: 2.4571 2022/06/27 18:44:30 - mmengine - INFO - Epoch(train) [6][3380/3757] lr: 1.000e-02 eta: 1 day, 2:02:24 time: 0.208 data_time: 0.006 memory: 5148 grad_norm: 5.2004 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4217 loss: 2.4217 2022/06/27 18:44:36 - mmengine - INFO - Epoch(train) [6][3400/3757] lr: 1.000e-02 eta: 1 day, 2:02:21 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.1255 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5059 loss: 2.5059 2022/06/27 18:44:41 - mmengine - INFO - Epoch(train) [6][3420/3757] lr: 1.000e-02 eta: 1 day, 2:02:22 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.2737 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9818 loss: 2.9818 2022/06/27 18:44:46 - mmengine - INFO - Epoch(train) [6][3440/3757] lr: 1.000e-02 eta: 1 day, 2:02:13 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.1835 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.6223 loss: 2.6223 2022/06/27 18:44:52 - mmengine - INFO - Epoch(train) [6][3460/3757] lr: 1.000e-02 eta: 1 day, 2:02:11 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 5.4925 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4267 loss: 2.4267 2022/06/27 18:44:57 - mmengine - INFO - Epoch(train) [6][3480/3757] lr: 1.000e-02 eta: 1 day, 2:02:10 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 6.1504 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8807 loss: 2.8807 2022/06/27 18:45:03 - mmengine - INFO - Epoch(train) [6][3500/3757] lr: 1.000e-02 eta: 1 day, 2:02:05 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 5.9641 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4075 loss: 2.4075 2022/06/27 18:45:08 - mmengine - INFO - Epoch(train) [6][3520/3757] lr: 1.000e-02 eta: 1 day, 2:01:57 time: 0.192 data_time: 0.006 memory: 5148 grad_norm: 5.8519 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6951 loss: 2.6951 2022/06/27 18:45:13 - mmengine - INFO - Epoch(train) [6][3540/3757] lr: 1.000e-02 eta: 1 day, 2:01:56 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.4802 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6360 loss: 2.6360 2022/06/27 18:45:19 - mmengine - INFO - Epoch(train) [6][3560/3757] lr: 1.000e-02 eta: 1 day, 2:01:59 time: 0.214 data_time: 0.006 memory: 5148 grad_norm: 5.3709 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6166 loss: 2.6166 2022/06/27 18:45:24 - mmengine - INFO - Epoch(train) [6][3580/3757] lr: 1.000e-02 eta: 1 day, 2:01:52 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 5.4270 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7392 loss: 2.7392 2022/06/27 18:45:30 - mmengine - INFO - Epoch(train) [6][3600/3757] lr: 1.000e-02 eta: 1 day, 2:01:45 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.7518 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5169 loss: 2.5169 2022/06/27 18:45:35 - mmengine - INFO - Epoch(train) [6][3620/3757] lr: 1.000e-02 eta: 1 day, 2:01:39 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 5.1129 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7629 loss: 2.7629 2022/06/27 18:45:40 - mmengine - INFO - Epoch(train) [6][3640/3757] lr: 1.000e-02 eta: 1 day, 2:01:34 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 6.3856 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.8884 loss: 2.8884 2022/06/27 18:45:45 - mmengine - INFO - Epoch(train) [6][3660/3757] lr: 1.000e-02 eta: 1 day, 2:01:23 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 4.6760 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7157 loss: 2.7157 2022/06/27 18:45:50 - mmengine - INFO - Epoch(train) [6][3680/3757] lr: 1.000e-02 eta: 1 day, 2:01:17 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 5.0851 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6796 loss: 2.6796 2022/06/27 18:45:55 - mmengine - INFO - Epoch(train) [6][3700/3757] lr: 1.000e-02 eta: 1 day, 2:01:07 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 5.4182 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7963 loss: 2.7963 2022/06/27 18:46:01 - mmengine - INFO - Epoch(train) [6][3720/3757] lr: 1.000e-02 eta: 1 day, 2:01:12 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 5.4324 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8102 loss: 2.8102 2022/06/27 18:46:07 - mmengine - INFO - Epoch(train) [6][3740/3757] lr: 1.000e-02 eta: 1 day, 2:01:07 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.8059 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9744 loss: 2.9744 2022/06/27 18:46:10 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 18:46:17 - mmengine - INFO - Epoch(val) [6][20/310] eta: 0:01:12 time: 0.233 data_time: 0.161 memory: 5148 2022/06/27 18:46:21 - mmengine - INFO - Epoch(val) [6][40/310] eta: 0:01:00 time: 0.078 data_time: 0.005 memory: 1367 2022/06/27 18:46:27 - mmengine - INFO - Epoch(val) [6][60/310] eta: 0:01:06 time: 0.251 data_time: 0.169 memory: 1367 2022/06/27 18:46:32 - mmengine - INFO - Epoch(val) [6][80/310] eta: 0:00:58 time: 0.077 data_time: 0.005 memory: 1367 2022/06/27 18:46:38 - mmengine - INFO - Epoch(val) [6][100/310] eta: 0:00:58 time: 0.107 data_time: 0.033 memory: 1367 2022/06/27 18:46:42 - mmengine - INFO - Epoch(val) [6][120/310] eta: 0:00:46 time: 0.079 data_time: 0.008 memory: 1367 2022/06/27 18:46:49 - mmengine - INFO - Epoch(val) [6][140/310] eta: 0:01:01 time: 0.651 data_time: 0.565 memory: 1367 2022/06/27 18:46:53 - mmengine - INFO - Epoch(val) [6][160/310] eta: 0:00:33 time: 0.085 data_time: 0.008 memory: 1367 2022/06/27 18:46:59 - mmengine - INFO - Epoch(val) [6][180/310] eta: 0:00:48 time: 0.717 data_time: 0.637 memory: 1367 2022/06/27 18:47:04 - mmengine - INFO - Epoch(val) [6][200/310] eta: 0:00:25 time: 0.076 data_time: 0.005 memory: 1367 2022/06/27 18:47:10 - mmengine - INFO - Epoch(val) [6][220/310] eta: 0:00:33 time: 0.084 data_time: 0.005 memory: 1367 2022/06/27 18:47:14 - mmengine - INFO - Epoch(val) [6][240/310] eta: 0:00:14 time: 0.078 data_time: 0.006 memory: 1367 2022/06/27 18:47:20 - mmengine - INFO - Epoch(val) [6][260/310] eta: 0:00:18 time: 0.076 data_time: 0.005 memory: 1367 2022/06/27 18:47:25 - mmengine - INFO - Epoch(val) [6][280/310] eta: 0:00:07 time: 0.081 data_time: 0.005 memory: 1367 2022/06/27 18:47:31 - mmengine - INFO - Epoch(val) [6][300/310] eta: 0:00:03 time: 0.081 data_time: 0.005 memory: 1367 2022/06/27 18:47:34 - mmengine - INFO - Epoch(val) [6][310/310] acc/top1: 0.4539 acc/top5: 0.7277 acc/mean1: 0.4539 2022/06/27 18:47:43 - mmengine - INFO - Epoch(train) [7][20/3757] lr: 1.000e-02 eta: 1 day, 2:01:07 time: 0.185 data_time: 0.009 memory: 5148 grad_norm: 5.2955 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6166 loss: 2.6166 2022/06/27 18:47:49 - mmengine - INFO - Epoch(train) [7][40/3757] lr: 1.000e-02 eta: 1 day, 2:01:15 time: 0.381 data_time: 0.006 memory: 5148 grad_norm: 5.4689 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7440 loss: 2.7440 2022/06/27 18:47:54 - mmengine - INFO - Epoch(train) [7][60/3757] lr: 1.000e-02 eta: 1 day, 2:01:04 time: 0.198 data_time: 0.009 memory: 5148 grad_norm: 6.0731 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4911 loss: 2.4911 2022/06/27 18:47:59 - mmengine - INFO - Epoch(train) [7][80/3757] lr: 1.000e-02 eta: 1 day, 2:00:58 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.4329 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5817 loss: 2.5817 2022/06/27 18:48:05 - mmengine - INFO - Epoch(train) [7][100/3757] lr: 1.000e-02 eta: 1 day, 2:01:00 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.4062 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5109 loss: 2.5109 2022/06/27 18:48:10 - mmengine - INFO - Epoch(train) [7][120/3757] lr: 1.000e-02 eta: 1 day, 2:00:51 time: 0.223 data_time: 0.006 memory: 5148 grad_norm: 5.5784 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3431 loss: 2.3431 2022/06/27 18:48:15 - mmengine - INFO - Epoch(train) [7][140/3757] lr: 1.000e-02 eta: 1 day, 2:00:43 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.3114 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5398 loss: 2.5398 2022/06/27 18:48:21 - mmengine - INFO - Epoch(train) [7][160/3757] lr: 1.000e-02 eta: 1 day, 2:00:42 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 6.0907 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8795 loss: 2.8795 2022/06/27 18:48:26 - mmengine - INFO - Epoch(train) [7][180/3757] lr: 1.000e-02 eta: 1 day, 2:00:31 time: 0.190 data_time: 0.007 memory: 5148 grad_norm: 6.3103 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6229 loss: 2.6229 2022/06/27 18:48:31 - mmengine - INFO - Epoch(train) [7][200/3757] lr: 1.000e-02 eta: 1 day, 2:00:30 time: 0.188 data_time: 0.010 memory: 5148 grad_norm: 5.7436 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0826 loss: 3.0826 2022/06/27 18:48:37 - mmengine - INFO - Epoch(train) [7][220/3757] lr: 1.000e-02 eta: 1 day, 2:00:32 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 4.8581 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5423 loss: 2.5423 2022/06/27 18:48:42 - mmengine - INFO - Epoch(train) [7][240/3757] lr: 1.000e-02 eta: 1 day, 2:00:23 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.3728 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4065 loss: 2.4065 2022/06/27 18:48:48 - mmengine - INFO - Epoch(train) [7][260/3757] lr: 1.000e-02 eta: 1 day, 2:00:20 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.2561 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5114 loss: 2.5114 2022/06/27 18:48:53 - mmengine - INFO - Epoch(train) [7][280/3757] lr: 1.000e-02 eta: 1 day, 2:00:20 time: 0.248 data_time: 0.006 memory: 5148 grad_norm: 5.2639 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9225 loss: 2.9225 2022/06/27 18:48:58 - mmengine - INFO - Epoch(train) [7][300/3757] lr: 1.000e-02 eta: 1 day, 2:00:10 time: 0.194 data_time: 0.006 memory: 5148 grad_norm: 5.2332 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7118 loss: 2.7118 2022/06/27 18:49:04 - mmengine - INFO - Epoch(train) [7][320/3757] lr: 1.000e-02 eta: 1 day, 2:00:11 time: 0.193 data_time: 0.006 memory: 5148 grad_norm: 5.5227 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3096 loss: 2.3096 2022/06/27 18:49:09 - mmengine - INFO - Epoch(train) [7][340/3757] lr: 1.000e-02 eta: 1 day, 1:59:54 time: 0.705 data_time: 0.006 memory: 5148 grad_norm: 6.0632 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1872 loss: 2.1872 2022/06/27 18:49:13 - mmengine - INFO - Epoch(train) [7][360/3757] lr: 1.000e-02 eta: 1 day, 1:59:39 time: 0.196 data_time: 0.006 memory: 5148 grad_norm: 5.0321 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4626 loss: 2.4626 2022/06/27 18:49:19 - mmengine - INFO - Epoch(train) [7][380/3757] lr: 1.000e-02 eta: 1 day, 1:59:48 time: 0.234 data_time: 0.032 memory: 5148 grad_norm: 5.3705 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6602 loss: 2.6602 2022/06/27 18:49:25 - mmengine - INFO - Epoch(train) [7][400/3757] lr: 1.000e-02 eta: 1 day, 1:59:44 time: 0.876 data_time: 0.011 memory: 5148 grad_norm: 5.3546 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5057 loss: 2.5057 2022/06/27 18:49:29 - mmengine - INFO - Epoch(train) [7][420/3757] lr: 1.000e-02 eta: 1 day, 1:59:26 time: 0.208 data_time: 0.011 memory: 5148 grad_norm: 5.6016 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8085 loss: 2.8085 2022/06/27 18:49:35 - mmengine - INFO - Epoch(train) [7][440/3757] lr: 1.000e-02 eta: 1 day, 1:59:25 time: 0.196 data_time: 0.018 memory: 5148 grad_norm: 6.3281 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3224 loss: 2.3224 2022/06/27 18:49:40 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 18:49:40 - mmengine - INFO - Epoch(train) [7][460/3757] lr: 1.000e-02 eta: 1 day, 1:59:20 time: 0.585 data_time: 0.010 memory: 5148 grad_norm: 5.2165 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3204 loss: 2.3204 2022/06/27 18:49:45 - mmengine - INFO - Epoch(train) [7][480/3757] lr: 1.000e-02 eta: 1 day, 1:59:07 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.4706 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3799 loss: 2.3799 2022/06/27 18:49:51 - mmengine - INFO - Epoch(train) [7][500/3757] lr: 1.000e-02 eta: 1 day, 1:59:05 time: 0.204 data_time: 0.013 memory: 5148 grad_norm: 5.5705 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6433 loss: 2.6433 2022/06/27 18:49:57 - mmengine - INFO - Epoch(train) [7][520/3757] lr: 1.000e-02 eta: 1 day, 1:59:10 time: 0.269 data_time: 0.012 memory: 5148 grad_norm: 5.1646 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.7641 loss: 2.7641 2022/06/27 18:50:02 - mmengine - INFO - Epoch(train) [7][540/3757] lr: 1.000e-02 eta: 1 day, 1:59:10 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.3935 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2242 loss: 2.2242 2022/06/27 18:50:07 - mmengine - INFO - Epoch(train) [7][560/3757] lr: 1.000e-02 eta: 1 day, 1:58:56 time: 0.202 data_time: 0.030 memory: 5148 grad_norm: 5.3273 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4371 loss: 2.4371 2022/06/27 18:50:13 - mmengine - INFO - Epoch(train) [7][580/3757] lr: 1.000e-02 eta: 1 day, 1:58:56 time: 0.413 data_time: 0.012 memory: 5148 grad_norm: 5.5223 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4251 loss: 2.4251 2022/06/27 18:50:17 - mmengine - INFO - Epoch(train) [7][600/3757] lr: 1.000e-02 eta: 1 day, 1:58:43 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.5793 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2511 loss: 2.2511 2022/06/27 18:50:23 - mmengine - INFO - Epoch(train) [7][620/3757] lr: 1.000e-02 eta: 1 day, 1:58:40 time: 0.204 data_time: 0.023 memory: 5148 grad_norm: 5.9559 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7366 loss: 2.7366 2022/06/27 18:50:28 - mmengine - INFO - Epoch(train) [7][640/3757] lr: 1.000e-02 eta: 1 day, 1:58:32 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 6.1151 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7889 loss: 2.7889 2022/06/27 18:50:34 - mmengine - INFO - Epoch(train) [7][660/3757] lr: 1.000e-02 eta: 1 day, 1:58:42 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.4458 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7187 loss: 2.7187 2022/06/27 18:50:39 - mmengine - INFO - Epoch(train) [7][680/3757] lr: 1.000e-02 eta: 1 day, 1:58:29 time: 0.200 data_time: 0.018 memory: 5148 grad_norm: 6.3706 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6696 loss: 2.6696 2022/06/27 18:50:44 - mmengine - INFO - Epoch(train) [7][700/3757] lr: 1.000e-02 eta: 1 day, 1:58:24 time: 0.205 data_time: 0.009 memory: 5148 grad_norm: 5.3067 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3820 loss: 2.3820 2022/06/27 18:50:50 - mmengine - INFO - Epoch(train) [7][720/3757] lr: 1.000e-02 eta: 1 day, 1:58:26 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 5.5344 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3653 loss: 2.3653 2022/06/27 18:50:55 - mmengine - INFO - Epoch(train) [7][740/3757] lr: 1.000e-02 eta: 1 day, 1:58:13 time: 0.209 data_time: 0.006 memory: 5148 grad_norm: 5.8831 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6078 loss: 2.6078 2022/06/27 18:51:01 - mmengine - INFO - Epoch(train) [7][760/3757] lr: 1.000e-02 eta: 1 day, 1:58:22 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 4.9112 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5305 loss: 2.5305 2022/06/27 18:51:06 - mmengine - INFO - Epoch(train) [7][780/3757] lr: 1.000e-02 eta: 1 day, 1:58:07 time: 0.195 data_time: 0.006 memory: 5148 grad_norm: 5.2299 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7772 loss: 2.7772 2022/06/27 18:51:11 - mmengine - INFO - Epoch(train) [7][800/3757] lr: 1.000e-02 eta: 1 day, 1:58:02 time: 0.206 data_time: 0.006 memory: 5148 grad_norm: 5.9831 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3093 loss: 2.3093 2022/06/27 18:51:17 - mmengine - INFO - Epoch(train) [7][820/3757] lr: 1.000e-02 eta: 1 day, 1:57:59 time: 0.461 data_time: 0.007 memory: 5148 grad_norm: 5.4821 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1539 loss: 2.1539 2022/06/27 18:51:22 - mmengine - INFO - Epoch(train) [7][840/3757] lr: 1.000e-02 eta: 1 day, 1:57:53 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 5.4860 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1370 loss: 2.1370 2022/06/27 18:51:27 - mmengine - INFO - Epoch(train) [7][860/3757] lr: 1.000e-02 eta: 1 day, 1:57:40 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 5.4594 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.4961 loss: 2.4961 2022/06/27 18:51:32 - mmengine - INFO - Epoch(train) [7][880/3757] lr: 1.000e-02 eta: 1 day, 1:57:38 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 5.3663 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.4112 loss: 2.4112 2022/06/27 18:51:37 - mmengine - INFO - Epoch(train) [7][900/3757] lr: 1.000e-02 eta: 1 day, 1:57:28 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 4.9088 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6196 loss: 2.6196 2022/06/27 18:51:43 - mmengine - INFO - Epoch(train) [7][920/3757] lr: 1.000e-02 eta: 1 day, 1:57:24 time: 0.194 data_time: 0.015 memory: 5148 grad_norm: 5.8627 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9746 loss: 2.9746 2022/06/27 18:51:48 - mmengine - INFO - Epoch(train) [7][940/3757] lr: 1.000e-02 eta: 1 day, 1:57:25 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.3135 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3668 loss: 2.3668 2022/06/27 18:51:54 - mmengine - INFO - Epoch(train) [7][960/3757] lr: 1.000e-02 eta: 1 day, 1:57:20 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 5.7870 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9767 loss: 1.9767 2022/06/27 18:52:00 - mmengine - INFO - Epoch(train) [7][980/3757] lr: 1.000e-02 eta: 1 day, 1:57:21 time: 0.199 data_time: 0.009 memory: 5148 grad_norm: 6.1973 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8074 loss: 2.8074 2022/06/27 18:52:05 - mmengine - INFO - Epoch(train) [7][1000/3757] lr: 1.000e-02 eta: 1 day, 1:57:11 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.2688 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7415 loss: 2.7415 2022/06/27 18:52:10 - mmengine - INFO - Epoch(train) [7][1020/3757] lr: 1.000e-02 eta: 1 day, 1:57:14 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.6517 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4785 loss: 2.4785 2022/06/27 18:52:15 - mmengine - INFO - Epoch(train) [7][1040/3757] lr: 1.000e-02 eta: 1 day, 1:57:04 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 5.0146 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3474 loss: 2.3474 2022/06/27 18:52:20 - mmengine - INFO - Epoch(train) [7][1060/3757] lr: 1.000e-02 eta: 1 day, 1:56:54 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.4818 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7756 loss: 2.7756 2022/06/27 18:52:26 - mmengine - INFO - Epoch(train) [7][1080/3757] lr: 1.000e-02 eta: 1 day, 1:56:50 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.0250 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0234 loss: 2.0234 2022/06/27 18:52:31 - mmengine - INFO - Epoch(train) [7][1100/3757] lr: 1.000e-02 eta: 1 day, 1:56:46 time: 0.209 data_time: 0.010 memory: 5148 grad_norm: 5.7486 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5422 loss: 2.5422 2022/06/27 18:52:36 - mmengine - INFO - Epoch(train) [7][1120/3757] lr: 1.000e-02 eta: 1 day, 1:56:37 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 4.6837 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5418 loss: 2.5418 2022/06/27 18:52:42 - mmengine - INFO - Epoch(train) [7][1140/3757] lr: 1.000e-02 eta: 1 day, 1:56:38 time: 0.208 data_time: 0.006 memory: 5148 grad_norm: 5.6321 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7259 loss: 2.7259 2022/06/27 18:52:48 - mmengine - INFO - Epoch(train) [7][1160/3757] lr: 1.000e-02 eta: 1 day, 1:56:36 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.7063 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3784 loss: 2.3784 2022/06/27 18:52:52 - mmengine - INFO - Epoch(train) [7][1180/3757] lr: 1.000e-02 eta: 1 day, 1:56:22 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 5.0460 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3349 loss: 2.3349 2022/06/27 18:52:58 - mmengine - INFO - Epoch(train) [7][1200/3757] lr: 1.000e-02 eta: 1 day, 1:56:26 time: 1.236 data_time: 0.010 memory: 5148 grad_norm: 5.4652 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7592 loss: 2.7592 2022/06/27 18:53:03 - mmengine - INFO - Epoch(train) [7][1220/3757] lr: 1.000e-02 eta: 1 day, 1:56:11 time: 0.190 data_time: 0.014 memory: 5148 grad_norm: 6.2470 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.7390 loss: 2.7390 2022/06/27 18:53:08 - mmengine - INFO - Epoch(train) [7][1240/3757] lr: 1.000e-02 eta: 1 day, 1:56:07 time: 0.208 data_time: 0.006 memory: 5148 grad_norm: 4.8180 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4511 loss: 2.4511 2022/06/27 18:53:14 - mmengine - INFO - Epoch(train) [7][1260/3757] lr: 1.000e-02 eta: 1 day, 1:56:03 time: 0.831 data_time: 0.027 memory: 5148 grad_norm: 5.5766 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.4773 loss: 2.4773 2022/06/27 18:53:19 - mmengine - INFO - Epoch(train) [7][1280/3757] lr: 1.000e-02 eta: 1 day, 1:55:56 time: 0.201 data_time: 0.013 memory: 5148 grad_norm: 5.6573 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6301 loss: 2.6301 2022/06/27 18:53:24 - mmengine - INFO - Epoch(train) [7][1300/3757] lr: 1.000e-02 eta: 1 day, 1:55:52 time: 0.212 data_time: 0.006 memory: 5148 grad_norm: 5.8885 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7906 loss: 2.7906 2022/06/27 18:53:31 - mmengine - INFO - Epoch(train) [7][1320/3757] lr: 1.000e-02 eta: 1 day, 1:56:08 time: 2.383 data_time: 0.020 memory: 5148 grad_norm: 5.1069 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.9041 loss: 2.9041 2022/06/27 18:53:35 - mmengine - INFO - Epoch(train) [7][1340/3757] lr: 1.000e-02 eta: 1 day, 1:55:45 time: 0.189 data_time: 0.008 memory: 5148 grad_norm: 5.6254 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5709 loss: 2.5709 2022/06/27 18:53:39 - mmengine - INFO - Epoch(train) [7][1360/3757] lr: 1.000e-02 eta: 1 day, 1:55:20 time: 0.194 data_time: 0.014 memory: 5148 grad_norm: 5.5010 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5624 loss: 2.5624 2022/06/27 18:53:44 - mmengine - INFO - Epoch(train) [7][1380/3757] lr: 1.000e-02 eta: 1 day, 1:55:13 time: 0.909 data_time: 0.013 memory: 5148 grad_norm: 5.8356 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0162 loss: 3.0162 2022/06/27 18:53:49 - mmengine - INFO - Epoch(train) [7][1400/3757] lr: 1.000e-02 eta: 1 day, 1:55:02 time: 0.518 data_time: 0.010 memory: 5148 grad_norm: 5.5907 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8571 loss: 2.8571 2022/06/27 18:53:54 - mmengine - INFO - Epoch(train) [7][1420/3757] lr: 1.000e-02 eta: 1 day, 1:54:51 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 5.5797 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5950 loss: 2.5950 2022/06/27 18:53:59 - mmengine - INFO - Epoch(train) [7][1440/3757] lr: 1.000e-02 eta: 1 day, 1:54:45 time: 0.235 data_time: 0.007 memory: 5148 grad_norm: 5.4819 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6862 loss: 2.6862 2022/06/27 18:54:04 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 18:54:05 - mmengine - INFO - Epoch(train) [7][1460/3757] lr: 1.000e-02 eta: 1 day, 1:54:41 time: 0.545 data_time: 0.006 memory: 5148 grad_norm: 6.1308 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8463 loss: 2.8463 2022/06/27 18:54:10 - mmengine - INFO - Epoch(train) [7][1480/3757] lr: 1.000e-02 eta: 1 day, 1:54:36 time: 0.332 data_time: 0.007 memory: 5148 grad_norm: 5.0478 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0796 loss: 2.0796 2022/06/27 18:54:15 - mmengine - INFO - Epoch(train) [7][1500/3757] lr: 1.000e-02 eta: 1 day, 1:54:30 time: 0.207 data_time: 0.006 memory: 5148 grad_norm: 5.7527 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5033 loss: 2.5033 2022/06/27 18:54:21 - mmengine - INFO - Epoch(train) [7][1520/3757] lr: 1.000e-02 eta: 1 day, 1:54:25 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 4.9945 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6323 loss: 2.6323 2022/06/27 18:54:27 - mmengine - INFO - Epoch(train) [7][1540/3757] lr: 1.000e-02 eta: 1 day, 1:54:35 time: 1.383 data_time: 0.006 memory: 5148 grad_norm: 5.7375 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5325 loss: 2.5325 2022/06/27 18:54:32 - mmengine - INFO - Epoch(train) [7][1560/3757] lr: 1.000e-02 eta: 1 day, 1:54:32 time: 0.215 data_time: 0.006 memory: 5148 grad_norm: 5.7682 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8299 loss: 2.8299 2022/06/27 18:54:37 - mmengine - INFO - Epoch(train) [7][1580/3757] lr: 1.000e-02 eta: 1 day, 1:54:11 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 5.7681 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2846 loss: 2.2846 2022/06/27 18:54:42 - mmengine - INFO - Epoch(train) [7][1600/3757] lr: 1.000e-02 eta: 1 day, 1:54:04 time: 0.283 data_time: 0.011 memory: 5148 grad_norm: 5.7514 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.7292 loss: 2.7292 2022/06/27 18:54:48 - mmengine - INFO - Epoch(train) [7][1620/3757] lr: 1.000e-02 eta: 1 day, 1:54:07 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 5.6345 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5974 loss: 2.5974 2022/06/27 18:54:53 - mmengine - INFO - Epoch(train) [7][1640/3757] lr: 1.000e-02 eta: 1 day, 1:53:57 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 5.8532 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3420 loss: 2.3420 2022/06/27 18:54:58 - mmengine - INFO - Epoch(train) [7][1660/3757] lr: 1.000e-02 eta: 1 day, 1:53:46 time: 0.200 data_time: 0.019 memory: 5148 grad_norm: 5.4940 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4422 loss: 2.4422 2022/06/27 18:55:04 - mmengine - INFO - Epoch(train) [7][1680/3757] lr: 1.000e-02 eta: 1 day, 1:53:51 time: 0.194 data_time: 0.013 memory: 5148 grad_norm: 5.4147 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6120 loss: 2.6120 2022/06/27 18:55:09 - mmengine - INFO - Epoch(train) [7][1700/3757] lr: 1.000e-02 eta: 1 day, 1:53:51 time: 0.771 data_time: 0.012 memory: 5148 grad_norm: 5.4994 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7141 loss: 2.7141 2022/06/27 18:55:15 - mmengine - INFO - Epoch(train) [7][1720/3757] lr: 1.000e-02 eta: 1 day, 1:53:52 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 5.7670 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9675 loss: 2.9675 2022/06/27 18:55:20 - mmengine - INFO - Epoch(train) [7][1740/3757] lr: 1.000e-02 eta: 1 day, 1:53:45 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 5.8376 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0032 loss: 2.0032 2022/06/27 18:55:25 - mmengine - INFO - Epoch(train) [7][1760/3757] lr: 1.000e-02 eta: 1 day, 1:53:38 time: 0.231 data_time: 0.010 memory: 5148 grad_norm: 5.9945 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2859 loss: 2.2859 2022/06/27 18:55:31 - mmengine - INFO - Epoch(train) [7][1780/3757] lr: 1.000e-02 eta: 1 day, 1:53:33 time: 0.208 data_time: 0.018 memory: 5148 grad_norm: 5.4009 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7603 loss: 2.7603 2022/06/27 18:55:36 - mmengine - INFO - Epoch(train) [7][1800/3757] lr: 1.000e-02 eta: 1 day, 1:53:26 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 5.8975 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8290 loss: 2.8290 2022/06/27 18:55:41 - mmengine - INFO - Epoch(train) [7][1820/3757] lr: 1.000e-02 eta: 1 day, 1:53:19 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 5.7379 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3037 loss: 2.3037 2022/06/27 18:55:46 - mmengine - INFO - Epoch(train) [7][1840/3757] lr: 1.000e-02 eta: 1 day, 1:53:10 time: 0.201 data_time: 0.014 memory: 5148 grad_norm: 5.7823 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3445 loss: 2.3445 2022/06/27 18:55:52 - mmengine - INFO - Epoch(train) [7][1860/3757] lr: 1.000e-02 eta: 1 day, 1:53:13 time: 0.195 data_time: 0.006 memory: 5148 grad_norm: 5.9580 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8342 loss: 2.8342 2022/06/27 18:55:58 - mmengine - INFO - Epoch(train) [7][1880/3757] lr: 1.000e-02 eta: 1 day, 1:53:11 time: 0.205 data_time: 0.006 memory: 5148 grad_norm: 5.3825 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3206 loss: 2.3206 2022/06/27 18:56:02 - mmengine - INFO - Epoch(train) [7][1900/3757] lr: 1.000e-02 eta: 1 day, 1:52:57 time: 0.206 data_time: 0.006 memory: 5148 grad_norm: 6.3480 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4853 loss: 2.4853 2022/06/27 18:56:08 - mmengine - INFO - Epoch(train) [7][1920/3757] lr: 1.000e-02 eta: 1 day, 1:52:53 time: 0.195 data_time: 0.006 memory: 5148 grad_norm: 5.7429 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6982 loss: 2.6982 2022/06/27 18:56:13 - mmengine - INFO - Epoch(train) [7][1940/3757] lr: 1.000e-02 eta: 1 day, 1:52:47 time: 0.196 data_time: 0.005 memory: 5148 grad_norm: 5.2275 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1005 loss: 2.1005 2022/06/27 18:56:17 - mmengine - INFO - Epoch(train) [7][1960/3757] lr: 1.000e-02 eta: 1 day, 1:52:26 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 5.5325 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.4206 loss: 2.4206 2022/06/27 18:56:23 - mmengine - INFO - Epoch(train) [7][1980/3757] lr: 1.000e-02 eta: 1 day, 1:52:23 time: 0.191 data_time: 0.010 memory: 5148 grad_norm: 5.2804 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.5667 loss: 2.5667 2022/06/27 18:56:28 - mmengine - INFO - Epoch(train) [7][2000/3757] lr: 1.000e-02 eta: 1 day, 1:52:21 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 5.1066 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6602 loss: 2.6602 2022/06/27 18:56:33 - mmengine - INFO - Epoch(train) [7][2020/3757] lr: 1.000e-02 eta: 1 day, 1:52:11 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 5.2993 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6598 loss: 2.6598 2022/06/27 18:56:39 - mmengine - INFO - Epoch(train) [7][2040/3757] lr: 1.000e-02 eta: 1 day, 1:52:11 time: 0.190 data_time: 0.006 memory: 5148 grad_norm: 5.5906 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.9181 loss: 2.9181 2022/06/27 18:56:44 - mmengine - INFO - Epoch(train) [7][2060/3757] lr: 1.000e-02 eta: 1 day, 1:52:09 time: 0.194 data_time: 0.006 memory: 5148 grad_norm: 6.1454 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5311 loss: 2.5311 2022/06/27 18:56:49 - mmengine - INFO - Epoch(train) [7][2080/3757] lr: 1.000e-02 eta: 1 day, 1:51:56 time: 0.205 data_time: 0.009 memory: 5148 grad_norm: 5.1679 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8566 loss: 2.8566 2022/06/27 18:56:54 - mmengine - INFO - Epoch(train) [7][2100/3757] lr: 1.000e-02 eta: 1 day, 1:51:45 time: 0.189 data_time: 0.007 memory: 5148 grad_norm: 6.0158 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4765 loss: 2.4765 2022/06/27 18:57:00 - mmengine - INFO - Epoch(train) [7][2120/3757] lr: 1.000e-02 eta: 1 day, 1:51:47 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 5.2832 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4970 loss: 2.4970 2022/06/27 18:57:06 - mmengine - INFO - Epoch(train) [7][2140/3757] lr: 1.000e-02 eta: 1 day, 1:51:47 time: 0.194 data_time: 0.014 memory: 5148 grad_norm: 5.8825 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.6492 loss: 2.6492 2022/06/27 18:57:11 - mmengine - INFO - Epoch(train) [7][2160/3757] lr: 1.000e-02 eta: 1 day, 1:51:39 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 5.3144 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.6386 loss: 2.6386 2022/06/27 18:57:16 - mmengine - INFO - Epoch(train) [7][2180/3757] lr: 1.000e-02 eta: 1 day, 1:51:30 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.6440 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7486 loss: 2.7486 2022/06/27 18:57:21 - mmengine - INFO - Epoch(train) [7][2200/3757] lr: 1.000e-02 eta: 1 day, 1:51:29 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 5.7862 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8119 loss: 2.8119 2022/06/27 18:57:27 - mmengine - INFO - Epoch(train) [7][2220/3757] lr: 1.000e-02 eta: 1 day, 1:51:22 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 5.5083 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2482 loss: 2.2482 2022/06/27 18:57:32 - mmengine - INFO - Epoch(train) [7][2240/3757] lr: 1.000e-02 eta: 1 day, 1:51:19 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 5.7450 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6835 loss: 2.6835 2022/06/27 18:57:37 - mmengine - INFO - Epoch(train) [7][2260/3757] lr: 1.000e-02 eta: 1 day, 1:51:08 time: 0.194 data_time: 0.012 memory: 5148 grad_norm: 5.9109 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1346 loss: 2.1346 2022/06/27 18:57:42 - mmengine - INFO - Epoch(train) [7][2280/3757] lr: 1.000e-02 eta: 1 day, 1:51:02 time: 0.209 data_time: 0.037 memory: 5148 grad_norm: 4.9874 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2756 loss: 2.2756 2022/06/27 18:57:47 - mmengine - INFO - Epoch(train) [7][2300/3757] lr: 1.000e-02 eta: 1 day, 1:50:56 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.9634 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5046 loss: 2.5046 2022/06/27 18:57:53 - mmengine - INFO - Epoch(train) [7][2320/3757] lr: 1.000e-02 eta: 1 day, 1:50:50 time: 0.192 data_time: 0.006 memory: 5148 grad_norm: 5.3889 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0326 loss: 3.0326 2022/06/27 18:57:58 - mmengine - INFO - Epoch(train) [7][2340/3757] lr: 1.000e-02 eta: 1 day, 1:50:44 time: 0.194 data_time: 0.006 memory: 5148 grad_norm: 5.6812 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4811 loss: 2.4811 2022/06/27 18:58:04 - mmengine - INFO - Epoch(train) [7][2360/3757] lr: 1.000e-02 eta: 1 day, 1:50:49 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 5.5979 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5501 loss: 2.5501 2022/06/27 18:58:08 - mmengine - INFO - Epoch(train) [7][2380/3757] lr: 1.000e-02 eta: 1 day, 1:50:31 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.7973 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2805 loss: 2.2805 2022/06/27 18:58:14 - mmengine - INFO - Epoch(train) [7][2400/3757] lr: 1.000e-02 eta: 1 day, 1:50:31 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 5.4857 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3181 loss: 2.3181 2022/06/27 18:58:19 - mmengine - INFO - Epoch(train) [7][2420/3757] lr: 1.000e-02 eta: 1 day, 1:50:16 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 5.5279 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6483 loss: 2.6483 2022/06/27 18:58:23 - mmengine - INFO - Epoch(train) [7][2440/3757] lr: 1.000e-02 eta: 1 day, 1:49:57 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 5.5671 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7324 loss: 2.7324 2022/06/27 18:58:28 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 18:58:28 - mmengine - INFO - Epoch(train) [7][2460/3757] lr: 1.000e-02 eta: 1 day, 1:49:53 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.5144 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5149 loss: 2.5149 2022/06/27 18:58:34 - mmengine - INFO - Epoch(train) [7][2480/3757] lr: 1.000e-02 eta: 1 day, 1:49:57 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 5.0907 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2029 loss: 2.2029 2022/06/27 18:58:39 - mmengine - INFO - Epoch(train) [7][2500/3757] lr: 1.000e-02 eta: 1 day, 1:49:46 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 6.0530 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3342 loss: 2.3342 2022/06/27 18:58:45 - mmengine - INFO - Epoch(train) [7][2520/3757] lr: 1.000e-02 eta: 1 day, 1:49:44 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.2835 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6141 loss: 2.6141 2022/06/27 18:58:52 - mmengine - INFO - Epoch(train) [7][2540/3757] lr: 1.000e-02 eta: 1 day, 1:49:59 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.5387 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8113 loss: 2.8113 2022/06/27 18:58:56 - mmengine - INFO - Epoch(train) [7][2560/3757] lr: 1.000e-02 eta: 1 day, 1:49:36 time: 0.192 data_time: 0.010 memory: 5148 grad_norm: 5.8680 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.6636 loss: 2.6636 2022/06/27 18:59:01 - mmengine - INFO - Epoch(train) [7][2580/3757] lr: 1.000e-02 eta: 1 day, 1:49:32 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 4.9992 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4368 loss: 2.4368 2022/06/27 18:59:07 - mmengine - INFO - Epoch(train) [7][2600/3757] lr: 1.000e-02 eta: 1 day, 1:49:29 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 5.6537 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3977 loss: 2.3977 2022/06/27 18:59:11 - mmengine - INFO - Epoch(train) [7][2620/3757] lr: 1.000e-02 eta: 1 day, 1:49:16 time: 0.195 data_time: 0.005 memory: 5148 grad_norm: 5.7293 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5783 loss: 2.5783 2022/06/27 18:59:16 - mmengine - INFO - Epoch(train) [7][2640/3757] lr: 1.000e-02 eta: 1 day, 1:49:09 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 5.1472 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2996 loss: 2.2996 2022/06/27 18:59:22 - mmengine - INFO - Epoch(train) [7][2660/3757] lr: 1.000e-02 eta: 1 day, 1:49:08 time: 0.200 data_time: 0.012 memory: 5148 grad_norm: 5.6913 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4904 loss: 2.4904 2022/06/27 18:59:27 - mmengine - INFO - Epoch(train) [7][2680/3757] lr: 1.000e-02 eta: 1 day, 1:48:54 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 4.9753 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5168 loss: 2.5168 2022/06/27 18:59:32 - mmengine - INFO - Epoch(train) [7][2700/3757] lr: 1.000e-02 eta: 1 day, 1:48:54 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.3554 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3821 loss: 2.3821 2022/06/27 18:59:38 - mmengine - INFO - Epoch(train) [7][2720/3757] lr: 1.000e-02 eta: 1 day, 1:48:49 time: 0.201 data_time: 0.013 memory: 5148 grad_norm: 5.0361 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7797 loss: 2.7797 2022/06/27 18:59:43 - mmengine - INFO - Epoch(train) [7][2740/3757] lr: 1.000e-02 eta: 1 day, 1:48:38 time: 0.194 data_time: 0.006 memory: 5148 grad_norm: 5.0785 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2736 loss: 2.2736 2022/06/27 18:59:48 - mmengine - INFO - Epoch(train) [7][2760/3757] lr: 1.000e-02 eta: 1 day, 1:48:30 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 5.5253 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6091 loss: 2.6091 2022/06/27 18:59:53 - mmengine - INFO - Epoch(train) [7][2780/3757] lr: 1.000e-02 eta: 1 day, 1:48:28 time: 0.202 data_time: 0.019 memory: 5148 grad_norm: 5.6736 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3655 loss: 2.3655 2022/06/27 18:59:59 - mmengine - INFO - Epoch(train) [7][2800/3757] lr: 1.000e-02 eta: 1 day, 1:48:23 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 5.1460 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5878 loss: 2.5878 2022/06/27 19:00:04 - mmengine - INFO - Epoch(train) [7][2820/3757] lr: 1.000e-02 eta: 1 day, 1:48:19 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.8862 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5727 loss: 2.5727 2022/06/27 19:00:09 - mmengine - INFO - Epoch(train) [7][2840/3757] lr: 1.000e-02 eta: 1 day, 1:48:09 time: 0.196 data_time: 0.017 memory: 5148 grad_norm: 5.7469 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7390 loss: 2.7390 2022/06/27 19:00:15 - mmengine - INFO - Epoch(train) [7][2860/3757] lr: 1.000e-02 eta: 1 day, 1:48:12 time: 0.191 data_time: 0.006 memory: 5148 grad_norm: 5.6855 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3339 loss: 2.3339 2022/06/27 19:00:19 - mmengine - INFO - Epoch(train) [7][2880/3757] lr: 1.000e-02 eta: 1 day, 1:47:52 time: 0.190 data_time: 0.014 memory: 5148 grad_norm: 6.1213 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7659 loss: 2.7659 2022/06/27 19:00:25 - mmengine - INFO - Epoch(train) [7][2900/3757] lr: 1.000e-02 eta: 1 day, 1:47:56 time: 0.201 data_time: 0.015 memory: 5148 grad_norm: 5.5625 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.3444 loss: 2.3444 2022/06/27 19:00:30 - mmengine - INFO - Epoch(train) [7][2920/3757] lr: 1.000e-02 eta: 1 day, 1:47:44 time: 0.202 data_time: 0.016 memory: 5148 grad_norm: 5.9036 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6971 loss: 2.6971 2022/06/27 19:00:35 - mmengine - INFO - Epoch(train) [7][2940/3757] lr: 1.000e-02 eta: 1 day, 1:47:38 time: 0.192 data_time: 0.015 memory: 5148 grad_norm: 7.0291 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4678 loss: 2.4678 2022/06/27 19:00:40 - mmengine - INFO - Epoch(train) [7][2960/3757] lr: 1.000e-02 eta: 1 day, 1:47:26 time: 0.194 data_time: 0.014 memory: 5148 grad_norm: 5.6499 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.8321 loss: 2.8321 2022/06/27 19:00:46 - mmengine - INFO - Epoch(train) [7][2980/3757] lr: 1.000e-02 eta: 1 day, 1:47:27 time: 0.201 data_time: 0.013 memory: 5148 grad_norm: 4.8216 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1931 loss: 2.1931 2022/06/27 19:00:51 - mmengine - INFO - Epoch(train) [7][3000/3757] lr: 1.000e-02 eta: 1 day, 1:47:18 time: 0.232 data_time: 0.010 memory: 5148 grad_norm: 5.4780 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4512 loss: 2.4512 2022/06/27 19:00:56 - mmengine - INFO - Epoch(train) [7][3020/3757] lr: 1.000e-02 eta: 1 day, 1:47:12 time: 0.196 data_time: 0.013 memory: 5148 grad_norm: 5.2030 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4755 loss: 2.4755 2022/06/27 19:01:02 - mmengine - INFO - Epoch(train) [7][3040/3757] lr: 1.000e-02 eta: 1 day, 1:47:12 time: 0.198 data_time: 0.020 memory: 5148 grad_norm: 5.2107 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.5302 loss: 2.5302 2022/06/27 19:01:07 - mmengine - INFO - Epoch(train) [7][3060/3757] lr: 1.000e-02 eta: 1 day, 1:47:02 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 5.0707 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9076 loss: 1.9076 2022/06/27 19:01:12 - mmengine - INFO - Epoch(train) [7][3080/3757] lr: 1.000e-02 eta: 1 day, 1:46:55 time: 0.202 data_time: 0.024 memory: 5148 grad_norm: 5.8470 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3385 loss: 2.3385 2022/06/27 19:01:18 - mmengine - INFO - Epoch(train) [7][3100/3757] lr: 1.000e-02 eta: 1 day, 1:46:58 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 5.4250 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4386 loss: 2.4386 2022/06/27 19:01:24 - mmengine - INFO - Epoch(train) [7][3120/3757] lr: 1.000e-02 eta: 1 day, 1:47:05 time: 0.219 data_time: 0.009 memory: 5148 grad_norm: 5.3660 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9866 loss: 2.9866 2022/06/27 19:01:28 - mmengine - INFO - Epoch(train) [7][3140/3757] lr: 1.000e-02 eta: 1 day, 1:46:42 time: 0.193 data_time: 0.014 memory: 5148 grad_norm: 5.8098 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.2992 loss: 2.2992 2022/06/27 19:01:32 - mmengine - INFO - Epoch(train) [7][3160/3757] lr: 1.000e-02 eta: 1 day, 1:46:19 time: 0.197 data_time: 0.019 memory: 5148 grad_norm: 5.3696 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5972 loss: 2.5972 2022/06/27 19:01:37 - mmengine - INFO - Epoch(train) [7][3180/3757] lr: 1.000e-02 eta: 1 day, 1:46:10 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.2159 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6106 loss: 2.6106 2022/06/27 19:01:43 - mmengine - INFO - Epoch(train) [7][3200/3757] lr: 1.000e-02 eta: 1 day, 1:46:08 time: 0.197 data_time: 0.016 memory: 5148 grad_norm: 5.7147 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2741 loss: 2.2741 2022/06/27 19:01:48 - mmengine - INFO - Epoch(train) [7][3220/3757] lr: 1.000e-02 eta: 1 day, 1:46:08 time: 0.203 data_time: 0.014 memory: 5148 grad_norm: 5.6507 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.9732 loss: 2.9732 2022/06/27 19:01:54 - mmengine - INFO - Epoch(train) [7][3240/3757] lr: 1.000e-02 eta: 1 day, 1:46:01 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 5.8467 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4413 loss: 2.4413 2022/06/27 19:01:59 - mmengine - INFO - Epoch(train) [7][3260/3757] lr: 1.000e-02 eta: 1 day, 1:45:54 time: 0.192 data_time: 0.014 memory: 5148 grad_norm: 5.9791 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6787 loss: 2.6787 2022/06/27 19:02:04 - mmengine - INFO - Epoch(train) [7][3280/3757] lr: 1.000e-02 eta: 1 day, 1:45:49 time: 0.192 data_time: 0.017 memory: 5148 grad_norm: 5.4413 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3828 loss: 2.3828 2022/06/27 19:02:09 - mmengine - INFO - Epoch(train) [7][3300/3757] lr: 1.000e-02 eta: 1 day, 1:45:37 time: 0.190 data_time: 0.006 memory: 5148 grad_norm: 5.9283 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0915 loss: 2.0915 2022/06/27 19:02:14 - mmengine - INFO - Epoch(train) [7][3320/3757] lr: 1.000e-02 eta: 1 day, 1:45:35 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.4976 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3974 loss: 2.3974 2022/06/27 19:02:20 - mmengine - INFO - Epoch(train) [7][3340/3757] lr: 1.000e-02 eta: 1 day, 1:45:34 time: 0.197 data_time: 0.025 memory: 5148 grad_norm: 5.7794 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4094 loss: 2.4094 2022/06/27 19:02:25 - mmengine - INFO - Epoch(train) [7][3360/3757] lr: 1.000e-02 eta: 1 day, 1:45:30 time: 0.193 data_time: 0.008 memory: 5148 grad_norm: 5.0230 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8239 loss: 2.8239 2022/06/27 19:02:31 - mmengine - INFO - Epoch(train) [7][3380/3757] lr: 1.000e-02 eta: 1 day, 1:45:34 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 5.3495 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3049 loss: 2.3049 2022/06/27 19:02:36 - mmengine - INFO - Epoch(train) [7][3400/3757] lr: 1.000e-02 eta: 1 day, 1:45:18 time: 0.196 data_time: 0.021 memory: 5148 grad_norm: 5.2112 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7292 loss: 2.7292 2022/06/27 19:02:41 - mmengine - INFO - Epoch(train) [7][3420/3757] lr: 1.000e-02 eta: 1 day, 1:45:17 time: 0.190 data_time: 0.009 memory: 5148 grad_norm: 5.6152 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5471 loss: 2.5471 2022/06/27 19:02:47 - mmengine - INFO - Epoch(train) [7][3440/3757] lr: 1.000e-02 eta: 1 day, 1:45:10 time: 0.200 data_time: 0.005 memory: 5148 grad_norm: 5.9217 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1362 loss: 2.1362 2022/06/27 19:02:51 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 19:02:52 - mmengine - INFO - Epoch(train) [7][3460/3757] lr: 1.000e-02 eta: 1 day, 1:44:59 time: 0.191 data_time: 0.016 memory: 5148 grad_norm: 5.7245 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5931 loss: 2.5931 2022/06/27 19:02:57 - mmengine - INFO - Epoch(train) [7][3480/3757] lr: 1.000e-02 eta: 1 day, 1:44:59 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 6.0850 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1975 loss: 2.1975 2022/06/27 19:03:03 - mmengine - INFO - Epoch(train) [7][3500/3757] lr: 1.000e-02 eta: 1 day, 1:44:53 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 5.6695 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5352 loss: 2.5352 2022/06/27 19:03:08 - mmengine - INFO - Epoch(train) [7][3520/3757] lr: 1.000e-02 eta: 1 day, 1:44:53 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.6271 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5288 loss: 2.5288 2022/06/27 19:03:14 - mmengine - INFO - Epoch(train) [7][3540/3757] lr: 1.000e-02 eta: 1 day, 1:44:49 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.7330 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5392 loss: 2.5392 2022/06/27 19:03:19 - mmengine - INFO - Epoch(train) [7][3560/3757] lr: 1.000e-02 eta: 1 day, 1:44:42 time: 0.193 data_time: 0.008 memory: 5148 grad_norm: 5.6468 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6591 loss: 2.6591 2022/06/27 19:03:23 - mmengine - INFO - Epoch(train) [7][3580/3757] lr: 1.000e-02 eta: 1 day, 1:44:28 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.8460 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5761 loss: 2.5761 2022/06/27 19:03:29 - mmengine - INFO - Epoch(train) [7][3600/3757] lr: 1.000e-02 eta: 1 day, 1:44:29 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 5.2985 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7705 loss: 2.7705 2022/06/27 19:03:35 - mmengine - INFO - Epoch(train) [7][3620/3757] lr: 1.000e-02 eta: 1 day, 1:44:24 time: 0.218 data_time: 0.006 memory: 5148 grad_norm: 5.8959 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7717 loss: 2.7717 2022/06/27 19:03:39 - mmengine - INFO - Epoch(train) [7][3640/3757] lr: 1.000e-02 eta: 1 day, 1:44:09 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 5.9462 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6087 loss: 2.6087 2022/06/27 19:03:44 - mmengine - INFO - Epoch(train) [7][3660/3757] lr: 1.000e-02 eta: 1 day, 1:44:04 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 5.8096 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8845 loss: 2.8845 2022/06/27 19:03:50 - mmengine - INFO - Epoch(train) [7][3680/3757] lr: 1.000e-02 eta: 1 day, 1:44:08 time: 0.193 data_time: 0.014 memory: 5148 grad_norm: 5.8024 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5721 loss: 2.5721 2022/06/27 19:03:55 - mmengine - INFO - Epoch(train) [7][3700/3757] lr: 1.000e-02 eta: 1 day, 1:43:55 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 5.8654 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5360 loss: 2.5360 2022/06/27 19:04:01 - mmengine - INFO - Epoch(train) [7][3720/3757] lr: 1.000e-02 eta: 1 day, 1:44:00 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 5.9848 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7835 loss: 2.7835 2022/06/27 19:04:07 - mmengine - INFO - Epoch(train) [7][3740/3757] lr: 1.000e-02 eta: 1 day, 1:43:57 time: 0.207 data_time: 0.005 memory: 5148 grad_norm: 5.5623 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4626 loss: 2.4626 2022/06/27 19:04:10 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 19:04:17 - mmengine - INFO - Epoch(val) [7][20/310] eta: 0:01:15 time: 0.361 data_time: 0.289 memory: 5148 2022/06/27 19:04:22 - mmengine - INFO - Epoch(val) [7][40/310] eta: 0:01:02 time: 0.076 data_time: 0.005 memory: 1367 2022/06/27 19:04:27 - mmengine - INFO - Epoch(val) [7][60/310] eta: 0:01:04 time: 0.374 data_time: 0.297 memory: 1367 2022/06/27 19:04:32 - mmengine - INFO - Epoch(val) [7][80/310] eta: 0:00:56 time: 0.085 data_time: 0.008 memory: 1367 2022/06/27 19:04:38 - mmengine - INFO - Epoch(val) [7][100/310] eta: 0:00:54 time: 0.362 data_time: 0.290 memory: 1367 2022/06/27 19:04:43 - mmengine - INFO - Epoch(val) [7][120/310] eta: 0:00:55 time: 0.725 data_time: 0.653 memory: 1367 2022/06/27 19:04:49 - mmengine - INFO - Epoch(val) [7][140/310] eta: 0:01:00 time: 0.758 data_time: 0.685 memory: 1367 2022/06/27 19:04:54 - mmengine - INFO - Epoch(val) [7][160/310] eta: 0:00:39 time: 0.436 data_time: 0.363 memory: 1367 2022/06/27 19:05:00 - mmengine - INFO - Epoch(val) [7][180/310] eta: 0:00:52 time: 1.253 data_time: 1.177 memory: 1367 2022/06/27 19:05:05 - mmengine - INFO - Epoch(val) [7][200/310] eta: 0:00:25 time: 0.076 data_time: 0.005 memory: 1367 2022/06/27 19:05:10 - mmengine - INFO - Epoch(val) [7][220/310] eta: 0:00:31 time: 0.079 data_time: 0.008 memory: 1367 2022/06/27 19:05:15 - mmengine - INFO - Epoch(val) [7][240/310] eta: 0:00:14 time: 0.081 data_time: 0.005 memory: 1367 2022/06/27 19:05:21 - mmengine - INFO - Epoch(val) [7][260/310] eta: 0:00:18 time: 0.077 data_time: 0.006 memory: 1367 2022/06/27 19:05:25 - mmengine - INFO - Epoch(val) [7][280/310] eta: 0:00:07 time: 0.084 data_time: 0.011 memory: 1367 2022/06/27 19:05:31 - mmengine - INFO - Epoch(val) [7][300/310] eta: 0:00:03 time: 0.086 data_time: 0.012 memory: 1367 2022/06/27 19:05:34 - mmengine - INFO - Epoch(val) [7][310/310] acc/top1: 0.4650 acc/top5: 0.7336 acc/mean1: 0.4649 2022/06/27 19:05:42 - mmengine - INFO - Epoch(train) [8][20/3757] lr: 1.000e-02 eta: 1 day, 1:43:49 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.8487 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2823 loss: 2.2823 2022/06/27 19:05:48 - mmengine - INFO - Epoch(train) [8][40/3757] lr: 1.000e-02 eta: 1 day, 1:43:48 time: 0.200 data_time: 0.018 memory: 5148 grad_norm: 5.7833 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6323 loss: 2.6323 2022/06/27 19:05:53 - mmengine - INFO - Epoch(train) [8][60/3757] lr: 1.000e-02 eta: 1 day, 1:43:39 time: 0.191 data_time: 0.009 memory: 5148 grad_norm: 5.7898 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5223 loss: 2.5223 2022/06/27 19:05:59 - mmengine - INFO - Epoch(train) [8][80/3757] lr: 1.000e-02 eta: 1 day, 1:43:41 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 4.9553 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.8810 loss: 2.8810 2022/06/27 19:06:04 - mmengine - INFO - Epoch(train) [8][100/3757] lr: 1.000e-02 eta: 1 day, 1:43:39 time: 0.202 data_time: 0.028 memory: 5148 grad_norm: 5.3768 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3452 loss: 2.3452 2022/06/27 19:06:09 - mmengine - INFO - Epoch(train) [8][120/3757] lr: 1.000e-02 eta: 1 day, 1:43:25 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 5.6901 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.3604 loss: 2.3604 2022/06/27 19:06:14 - mmengine - INFO - Epoch(train) [8][140/3757] lr: 1.000e-02 eta: 1 day, 1:43:23 time: 0.190 data_time: 0.007 memory: 5148 grad_norm: 5.0090 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6567 loss: 2.6567 2022/06/27 19:06:20 - mmengine - INFO - Epoch(train) [8][160/3757] lr: 1.000e-02 eta: 1 day, 1:43:24 time: 0.201 data_time: 0.024 memory: 5148 grad_norm: 5.3534 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9170 loss: 1.9170 2022/06/27 19:06:25 - mmengine - INFO - Epoch(train) [8][180/3757] lr: 1.000e-02 eta: 1 day, 1:43:13 time: 0.193 data_time: 0.009 memory: 5148 grad_norm: 5.1073 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.6958 loss: 2.6958 2022/06/27 19:06:31 - mmengine - INFO - Epoch(train) [8][200/3757] lr: 1.000e-02 eta: 1 day, 1:43:17 time: 0.395 data_time: 0.007 memory: 5148 grad_norm: 6.0046 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3808 loss: 2.3808 2022/06/27 19:06:36 - mmengine - INFO - Epoch(train) [8][220/3757] lr: 1.000e-02 eta: 1 day, 1:43:07 time: 0.195 data_time: 0.024 memory: 5148 grad_norm: 5.6437 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5127 loss: 2.5127 2022/06/27 19:06:41 - mmengine - INFO - Epoch(train) [8][240/3757] lr: 1.000e-02 eta: 1 day, 1:42:54 time: 0.192 data_time: 0.009 memory: 5148 grad_norm: 5.0285 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8003 loss: 2.8003 2022/06/27 19:06:46 - mmengine - INFO - Epoch(train) [8][260/3757] lr: 1.000e-02 eta: 1 day, 1:42:53 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 6.1420 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8966 loss: 2.8966 2022/06/27 19:06:51 - mmengine - INFO - Epoch(train) [8][280/3757] lr: 1.000e-02 eta: 1 day, 1:42:45 time: 0.193 data_time: 0.009 memory: 5148 grad_norm: 5.8372 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6543 loss: 2.6543 2022/06/27 19:06:56 - mmengine - INFO - Epoch(train) [8][300/3757] lr: 1.000e-02 eta: 1 day, 1:42:28 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 6.0437 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6277 loss: 2.6277 2022/06/27 19:07:01 - mmengine - INFO - Epoch(train) [8][320/3757] lr: 1.000e-02 eta: 1 day, 1:42:21 time: 0.211 data_time: 0.011 memory: 5148 grad_norm: 5.4383 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8661 loss: 2.8661 2022/06/27 19:07:06 - mmengine - INFO - Epoch(train) [8][340/3757] lr: 1.000e-02 eta: 1 day, 1:42:18 time: 0.190 data_time: 0.011 memory: 5148 grad_norm: 5.9520 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.5024 loss: 2.5024 2022/06/27 19:07:12 - mmengine - INFO - Epoch(train) [8][360/3757] lr: 1.000e-02 eta: 1 day, 1:42:10 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 5.8777 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6378 loss: 2.6378 2022/06/27 19:07:17 - mmengine - INFO - Epoch(train) [8][380/3757] lr: 1.000e-02 eta: 1 day, 1:42:10 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 5.7196 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4612 loss: 2.4612 2022/06/27 19:07:22 - mmengine - INFO - Epoch(train) [8][400/3757] lr: 1.000e-02 eta: 1 day, 1:42:01 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.4953 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8836 loss: 2.8836 2022/06/27 19:07:28 - mmengine - INFO - Epoch(train) [8][420/3757] lr: 1.000e-02 eta: 1 day, 1:41:59 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 5.6566 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.2487 loss: 2.2487 2022/06/27 19:07:33 - mmengine - INFO - Epoch(train) [8][440/3757] lr: 1.000e-02 eta: 1 day, 1:41:55 time: 0.197 data_time: 0.015 memory: 5148 grad_norm: 5.8323 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7536 loss: 2.7536 2022/06/27 19:07:38 - mmengine - INFO - Epoch(train) [8][460/3757] lr: 1.000e-02 eta: 1 day, 1:41:47 time: 0.196 data_time: 0.006 memory: 5148 grad_norm: 5.5292 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3796 loss: 2.3796 2022/06/27 19:07:44 - mmengine - INFO - Epoch(train) [8][480/3757] lr: 1.000e-02 eta: 1 day, 1:41:42 time: 0.667 data_time: 0.009 memory: 5148 grad_norm: 5.5734 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5779 loss: 2.5779 2022/06/27 19:07:49 - mmengine - INFO - Epoch(train) [8][500/3757] lr: 1.000e-02 eta: 1 day, 1:41:35 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 4.9964 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5951 loss: 2.5951 2022/06/27 19:07:54 - mmengine - INFO - Epoch(train) [8][520/3757] lr: 1.000e-02 eta: 1 day, 1:41:29 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 5.3452 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3574 loss: 2.3574 2022/06/27 19:08:00 - mmengine - INFO - Epoch(train) [8][540/3757] lr: 1.000e-02 eta: 1 day, 1:41:26 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 6.4846 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.3879 loss: 2.3879 2022/06/27 19:08:05 - mmengine - INFO - Epoch(train) [8][560/3757] lr: 1.000e-02 eta: 1 day, 1:41:20 time: 0.187 data_time: 0.007 memory: 5148 grad_norm: 5.1523 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5498 loss: 2.5498 2022/06/27 19:08:10 - mmengine - INFO - Epoch(train) [8][580/3757] lr: 1.000e-02 eta: 1 day, 1:41:14 time: 0.254 data_time: 0.010 memory: 5148 grad_norm: 6.1058 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.1538 loss: 2.1538 2022/06/27 19:08:16 - mmengine - INFO - Epoch(train) [8][600/3757] lr: 1.000e-02 eta: 1 day, 1:41:18 time: 0.897 data_time: 0.010 memory: 5148 grad_norm: 6.3436 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2100 loss: 2.2100 2022/06/27 19:08:21 - mmengine - INFO - Epoch(train) [8][620/3757] lr: 1.000e-02 eta: 1 day, 1:41:09 time: 0.212 data_time: 0.006 memory: 5148 grad_norm: 5.6660 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4790 loss: 2.4790 2022/06/27 19:08:26 - mmengine - INFO - Epoch(train) [8][640/3757] lr: 1.000e-02 eta: 1 day, 1:41:02 time: 0.198 data_time: 0.021 memory: 5148 grad_norm: 5.2619 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4070 loss: 2.4070 2022/06/27 19:08:32 - mmengine - INFO - Epoch(train) [8][660/3757] lr: 1.000e-02 eta: 1 day, 1:40:59 time: 0.218 data_time: 0.009 memory: 5148 grad_norm: 5.2466 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5182 loss: 2.5182 2022/06/27 19:08:37 - mmengine - INFO - Epoch(train) [8][680/3757] lr: 1.000e-02 eta: 1 day, 1:40:49 time: 0.192 data_time: 0.006 memory: 5148 grad_norm: 5.4289 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1461 loss: 2.1461 2022/06/27 19:08:42 - mmengine - INFO - Epoch(train) [8][700/3757] lr: 1.000e-02 eta: 1 day, 1:40:39 time: 0.210 data_time: 0.027 memory: 5148 grad_norm: 5.6818 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.4622 loss: 2.4622 2022/06/27 19:08:43 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 19:08:48 - mmengine - INFO - Epoch(train) [8][720/3757] lr: 1.000e-02 eta: 1 day, 1:40:41 time: 0.216 data_time: 0.006 memory: 5148 grad_norm: 5.7491 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5489 loss: 2.5489 2022/06/27 19:08:53 - mmengine - INFO - Epoch(train) [8][740/3757] lr: 1.000e-02 eta: 1 day, 1:40:38 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 5.8559 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5565 loss: 2.5565 2022/06/27 19:08:58 - mmengine - INFO - Epoch(train) [8][760/3757] lr: 1.000e-02 eta: 1 day, 1:40:25 time: 0.200 data_time: 0.019 memory: 5148 grad_norm: 5.7202 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2954 loss: 2.2954 2022/06/27 19:09:03 - mmengine - INFO - Epoch(train) [8][780/3757] lr: 1.000e-02 eta: 1 day, 1:40:20 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 6.1472 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8470 loss: 2.8470 2022/06/27 19:09:09 - mmengine - INFO - Epoch(train) [8][800/3757] lr: 1.000e-02 eta: 1 day, 1:40:19 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.9511 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8815 loss: 2.8815 2022/06/27 19:09:13 - mmengine - INFO - Epoch(train) [8][820/3757] lr: 1.000e-02 eta: 1 day, 1:40:06 time: 0.199 data_time: 0.022 memory: 5148 grad_norm: 4.7386 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2048 loss: 2.2048 2022/06/27 19:09:19 - mmengine - INFO - Epoch(train) [8][840/3757] lr: 1.000e-02 eta: 1 day, 1:40:00 time: 0.527 data_time: 0.015 memory: 5148 grad_norm: 5.6519 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1346 loss: 2.1346 2022/06/27 19:09:24 - mmengine - INFO - Epoch(train) [8][860/3757] lr: 1.000e-02 eta: 1 day, 1:39:59 time: 0.216 data_time: 0.010 memory: 5148 grad_norm: 5.7877 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3147 loss: 2.3147 2022/06/27 19:09:29 - mmengine - INFO - Epoch(train) [8][880/3757] lr: 1.000e-02 eta: 1 day, 1:39:50 time: 0.359 data_time: 0.175 memory: 5148 grad_norm: 5.5831 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8487 loss: 2.8487 2022/06/27 19:09:35 - mmengine - INFO - Epoch(train) [8][900/3757] lr: 1.000e-02 eta: 1 day, 1:39:44 time: 0.201 data_time: 0.014 memory: 5148 grad_norm: 5.4723 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1774 loss: 2.1774 2022/06/27 19:09:41 - mmengine - INFO - Epoch(train) [8][920/3757] lr: 1.000e-02 eta: 1 day, 1:39:47 time: 0.212 data_time: 0.014 memory: 5148 grad_norm: 5.4393 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7708 loss: 2.7708 2022/06/27 19:09:45 - mmengine - INFO - Epoch(train) [8][940/3757] lr: 1.000e-02 eta: 1 day, 1:39:36 time: 0.200 data_time: 0.025 memory: 5148 grad_norm: 5.9931 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2804 loss: 2.2804 2022/06/27 19:09:51 - mmengine - INFO - Epoch(train) [8][960/3757] lr: 1.000e-02 eta: 1 day, 1:39:34 time: 0.281 data_time: 0.008 memory: 5148 grad_norm: 5.9677 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4537 loss: 2.4537 2022/06/27 19:09:56 - mmengine - INFO - Epoch(train) [8][980/3757] lr: 1.000e-02 eta: 1 day, 1:39:28 time: 0.214 data_time: 0.006 memory: 5148 grad_norm: 5.9959 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0109 loss: 3.0109 2022/06/27 19:10:01 - mmengine - INFO - Epoch(train) [8][1000/3757] lr: 1.000e-02 eta: 1 day, 1:39:19 time: 0.198 data_time: 0.009 memory: 5148 grad_norm: 5.6235 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4437 loss: 2.4437 2022/06/27 19:10:07 - mmengine - INFO - Epoch(train) [8][1020/3757] lr: 1.000e-02 eta: 1 day, 1:39:20 time: 0.994 data_time: 0.014 memory: 5148 grad_norm: 5.9636 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5579 loss: 2.5579 2022/06/27 19:10:12 - mmengine - INFO - Epoch(train) [8][1040/3757] lr: 1.000e-02 eta: 1 day, 1:39:11 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.3763 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5491 loss: 2.5491 2022/06/27 19:10:17 - mmengine - INFO - Epoch(train) [8][1060/3757] lr: 1.000e-02 eta: 1 day, 1:39:04 time: 0.191 data_time: 0.006 memory: 5148 grad_norm: 5.4861 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4086 loss: 2.4086 2022/06/27 19:10:23 - mmengine - INFO - Epoch(train) [8][1080/3757] lr: 1.000e-02 eta: 1 day, 1:39:09 time: 0.977 data_time: 0.007 memory: 5148 grad_norm: 4.7638 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4998 loss: 2.4998 2022/06/27 19:10:28 - mmengine - INFO - Epoch(train) [8][1100/3757] lr: 1.000e-02 eta: 1 day, 1:38:58 time: 0.213 data_time: 0.006 memory: 5148 grad_norm: 5.7452 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6169 loss: 2.6169 2022/06/27 19:10:34 - mmengine - INFO - Epoch(train) [8][1120/3757] lr: 1.000e-02 eta: 1 day, 1:38:56 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.8350 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5406 loss: 2.5406 2022/06/27 19:10:39 - mmengine - INFO - Epoch(train) [8][1140/3757] lr: 1.000e-02 eta: 1 day, 1:38:50 time: 0.799 data_time: 0.007 memory: 5148 grad_norm: 5.6762 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9925 loss: 1.9925 2022/06/27 19:10:44 - mmengine - INFO - Epoch(train) [8][1160/3757] lr: 1.000e-02 eta: 1 day, 1:38:42 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 5.8767 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8974 loss: 2.8974 2022/06/27 19:10:50 - mmengine - INFO - Epoch(train) [8][1180/3757] lr: 1.000e-02 eta: 1 day, 1:38:38 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 5.6565 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3415 loss: 2.3415 2022/06/27 19:10:55 - mmengine - INFO - Epoch(train) [8][1200/3757] lr: 1.000e-02 eta: 1 day, 1:38:35 time: 0.476 data_time: 0.007 memory: 5148 grad_norm: 5.3434 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3058 loss: 2.3058 2022/06/27 19:11:00 - mmengine - INFO - Epoch(train) [8][1220/3757] lr: 1.000e-02 eta: 1 day, 1:38:28 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 5.5445 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5976 loss: 2.5976 2022/06/27 19:11:05 - mmengine - INFO - Epoch(train) [8][1240/3757] lr: 1.000e-02 eta: 1 day, 1:38:23 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.8313 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4015 loss: 2.4015 2022/06/27 19:11:11 - mmengine - INFO - Epoch(train) [8][1260/3757] lr: 1.000e-02 eta: 1 day, 1:38:21 time: 0.209 data_time: 0.009 memory: 5148 grad_norm: 6.1105 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5513 loss: 2.5513 2022/06/27 19:11:17 - mmengine - INFO - Epoch(train) [8][1280/3757] lr: 1.000e-02 eta: 1 day, 1:38:19 time: 0.210 data_time: 0.006 memory: 5148 grad_norm: 5.2833 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6531 loss: 2.6531 2022/06/27 19:11:22 - mmengine - INFO - Epoch(train) [8][1300/3757] lr: 1.000e-02 eta: 1 day, 1:38:12 time: 0.192 data_time: 0.009 memory: 5148 grad_norm: 5.2073 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4790 loss: 2.4790 2022/06/27 19:11:27 - mmengine - INFO - Epoch(train) [8][1320/3757] lr: 1.000e-02 eta: 1 day, 1:38:11 time: 0.197 data_time: 0.014 memory: 5148 grad_norm: 5.2254 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0115 loss: 2.0115 2022/06/27 19:11:32 - mmengine - INFO - Epoch(train) [8][1340/3757] lr: 1.000e-02 eta: 1 day, 1:38:00 time: 0.207 data_time: 0.012 memory: 5148 grad_norm: 5.3491 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3071 loss: 2.3071 2022/06/27 19:11:37 - mmengine - INFO - Epoch(train) [8][1360/3757] lr: 1.000e-02 eta: 1 day, 1:37:48 time: 0.189 data_time: 0.009 memory: 5148 grad_norm: 5.9237 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6818 loss: 2.6818 2022/06/27 19:11:43 - mmengine - INFO - Epoch(train) [8][1380/3757] lr: 1.000e-02 eta: 1 day, 1:37:55 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 5.3621 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8387 loss: 2.8387 2022/06/27 19:11:48 - mmengine - INFO - Epoch(train) [8][1400/3757] lr: 1.000e-02 eta: 1 day, 1:37:43 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.9362 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7845 loss: 2.7845 2022/06/27 19:11:53 - mmengine - INFO - Epoch(train) [8][1420/3757] lr: 1.000e-02 eta: 1 day, 1:37:34 time: 0.200 data_time: 0.019 memory: 5148 grad_norm: 5.4966 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2854 loss: 2.2854 2022/06/27 19:11:58 - mmengine - INFO - Epoch(train) [8][1440/3757] lr: 1.000e-02 eta: 1 day, 1:37:27 time: 0.327 data_time: 0.007 memory: 5148 grad_norm: 5.7922 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7983 loss: 2.7983 2022/06/27 19:12:04 - mmengine - INFO - Epoch(train) [8][1460/3757] lr: 1.000e-02 eta: 1 day, 1:37:21 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 5.6903 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2713 loss: 2.2713 2022/06/27 19:12:09 - mmengine - INFO - Epoch(train) [8][1480/3757] lr: 1.000e-02 eta: 1 day, 1:37:13 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.2908 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6935 loss: 2.6935 2022/06/27 19:12:14 - mmengine - INFO - Epoch(train) [8][1500/3757] lr: 1.000e-02 eta: 1 day, 1:37:09 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.8602 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9465 loss: 1.9465 2022/06/27 19:12:19 - mmengine - INFO - Epoch(train) [8][1520/3757] lr: 1.000e-02 eta: 1 day, 1:36:59 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 5.2647 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6573 loss: 2.6573 2022/06/27 19:12:24 - mmengine - INFO - Epoch(train) [8][1540/3757] lr: 1.000e-02 eta: 1 day, 1:36:54 time: 0.209 data_time: 0.014 memory: 5148 grad_norm: 5.6566 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5194 loss: 2.5194 2022/06/27 19:12:30 - mmengine - INFO - Epoch(train) [8][1560/3757] lr: 1.000e-02 eta: 1 day, 1:36:52 time: 0.311 data_time: 0.007 memory: 5148 grad_norm: 5.2727 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3869 loss: 2.3869 2022/06/27 19:12:35 - mmengine - INFO - Epoch(train) [8][1580/3757] lr: 1.000e-02 eta: 1 day, 1:36:49 time: 0.203 data_time: 0.013 memory: 5148 grad_norm: 5.6602 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6925 loss: 2.6925 2022/06/27 19:12:40 - mmengine - INFO - Epoch(train) [8][1600/3757] lr: 1.000e-02 eta: 1 day, 1:36:40 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 5.1756 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0896 loss: 3.0896 2022/06/27 19:12:46 - mmengine - INFO - Epoch(train) [8][1620/3757] lr: 1.000e-02 eta: 1 day, 1:36:38 time: 0.783 data_time: 0.007 memory: 5148 grad_norm: 5.8663 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1321 loss: 2.1321 2022/06/27 19:12:51 - mmengine - INFO - Epoch(train) [8][1640/3757] lr: 1.000e-02 eta: 1 day, 1:36:31 time: 0.203 data_time: 0.017 memory: 5148 grad_norm: 5.9659 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6358 loss: 2.6358 2022/06/27 19:12:56 - mmengine - INFO - Epoch(train) [8][1660/3757] lr: 1.000e-02 eta: 1 day, 1:36:26 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 5.6460 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1803 loss: 2.1803 2022/06/27 19:13:02 - mmengine - INFO - Epoch(train) [8][1680/3757] lr: 1.000e-02 eta: 1 day, 1:36:27 time: 0.952 data_time: 0.006 memory: 5148 grad_norm: 5.6630 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3757 loss: 2.3757 2022/06/27 19:13:07 - mmengine - INFO - Epoch(train) [8][1700/3757] lr: 1.000e-02 eta: 1 day, 1:36:16 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.4219 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2185 loss: 2.2185 2022/06/27 19:13:07 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 19:13:13 - mmengine - INFO - Epoch(train) [8][1720/3757] lr: 1.000e-02 eta: 1 day, 1:36:21 time: 0.220 data_time: 0.010 memory: 5148 grad_norm: 5.9246 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8847 loss: 1.8847 2022/06/27 19:13:18 - mmengine - INFO - Epoch(train) [8][1740/3757] lr: 1.000e-02 eta: 1 day, 1:36:05 time: 0.593 data_time: 0.010 memory: 5148 grad_norm: 5.5603 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.4279 loss: 2.4279 2022/06/27 19:13:22 - mmengine - INFO - Epoch(train) [8][1760/3757] lr: 1.000e-02 eta: 1 day, 1:35:52 time: 0.199 data_time: 0.012 memory: 5148 grad_norm: 5.4399 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8890 loss: 2.8890 2022/06/27 19:13:29 - mmengine - INFO - Epoch(train) [8][1780/3757] lr: 1.000e-02 eta: 1 day, 1:35:59 time: 0.220 data_time: 0.022 memory: 5148 grad_norm: 5.9037 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6806 loss: 2.6806 2022/06/27 19:13:34 - mmengine - INFO - Epoch(train) [8][1800/3757] lr: 1.000e-02 eta: 1 day, 1:35:54 time: 0.797 data_time: 0.007 memory: 5148 grad_norm: 5.2527 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3397 loss: 2.3397 2022/06/27 19:13:39 - mmengine - INFO - Epoch(train) [8][1820/3757] lr: 1.000e-02 eta: 1 day, 1:35:42 time: 0.204 data_time: 0.016 memory: 5148 grad_norm: 5.2902 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5901 loss: 2.5901 2022/06/27 19:13:44 - mmengine - INFO - Epoch(train) [8][1840/3757] lr: 1.000e-02 eta: 1 day, 1:35:41 time: 0.211 data_time: 0.023 memory: 5148 grad_norm: 5.5462 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1068 loss: 3.1068 2022/06/27 19:13:50 - mmengine - INFO - Epoch(train) [8][1860/3757] lr: 1.000e-02 eta: 1 day, 1:35:39 time: 0.617 data_time: 0.006 memory: 5148 grad_norm: 4.6956 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1701 loss: 2.1701 2022/06/27 19:13:55 - mmengine - INFO - Epoch(train) [8][1880/3757] lr: 1.000e-02 eta: 1 day, 1:35:26 time: 0.211 data_time: 0.006 memory: 5148 grad_norm: 5.2142 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5177 loss: 2.5177 2022/06/27 19:14:00 - mmengine - INFO - Epoch(train) [8][1900/3757] lr: 1.000e-02 eta: 1 day, 1:35:24 time: 0.251 data_time: 0.012 memory: 5148 grad_norm: 5.5976 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6006 loss: 2.6006 2022/06/27 19:14:06 - mmengine - INFO - Epoch(train) [8][1920/3757] lr: 1.000e-02 eta: 1 day, 1:35:23 time: 1.131 data_time: 0.010 memory: 5148 grad_norm: 5.1938 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4876 loss: 2.4876 2022/06/27 19:14:11 - mmengine - INFO - Epoch(train) [8][1940/3757] lr: 1.000e-02 eta: 1 day, 1:35:13 time: 0.213 data_time: 0.010 memory: 5148 grad_norm: 5.3861 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4609 loss: 2.4609 2022/06/27 19:14:16 - mmengine - INFO - Epoch(train) [8][1960/3757] lr: 1.000e-02 eta: 1 day, 1:35:10 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 5.6864 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5495 loss: 2.5495 2022/06/27 19:14:21 - mmengine - INFO - Epoch(train) [8][1980/3757] lr: 1.000e-02 eta: 1 day, 1:35:03 time: 0.849 data_time: 0.011 memory: 5148 grad_norm: 6.1626 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9681 loss: 2.9681 2022/06/27 19:14:26 - mmengine - INFO - Epoch(train) [8][2000/3757] lr: 1.000e-02 eta: 1 day, 1:34:51 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 5.1937 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4238 loss: 2.4238 2022/06/27 19:14:31 - mmengine - INFO - Epoch(train) [8][2020/3757] lr: 1.000e-02 eta: 1 day, 1:34:45 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 4.9571 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7530 loss: 2.7530 2022/06/27 19:14:37 - mmengine - INFO - Epoch(train) [8][2040/3757] lr: 1.000e-02 eta: 1 day, 1:34:46 time: 0.998 data_time: 0.006 memory: 5148 grad_norm: 6.1569 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4815 loss: 2.4815 2022/06/27 19:14:42 - mmengine - INFO - Epoch(train) [8][2060/3757] lr: 1.000e-02 eta: 1 day, 1:34:37 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 5.0666 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7116 loss: 2.7116 2022/06/27 19:14:47 - mmengine - INFO - Epoch(train) [8][2080/3757] lr: 1.000e-02 eta: 1 day, 1:34:28 time: 0.202 data_time: 0.014 memory: 5148 grad_norm: 5.6724 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6529 loss: 2.6529 2022/06/27 19:14:53 - mmengine - INFO - Epoch(train) [8][2100/3757] lr: 1.000e-02 eta: 1 day, 1:34:24 time: 0.189 data_time: 0.009 memory: 5148 grad_norm: 5.7684 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8001 loss: 2.8001 2022/06/27 19:14:58 - mmengine - INFO - Epoch(train) [8][2120/3757] lr: 1.000e-02 eta: 1 day, 1:34:19 time: 0.890 data_time: 0.007 memory: 5148 grad_norm: 5.5718 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9092 loss: 1.9092 2022/06/27 19:15:03 - mmengine - INFO - Epoch(train) [8][2140/3757] lr: 1.000e-02 eta: 1 day, 1:34:08 time: 0.197 data_time: 0.018 memory: 5148 grad_norm: 5.7888 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3103 loss: 2.3103 2022/06/27 19:15:09 - mmengine - INFO - Epoch(train) [8][2160/3757] lr: 1.000e-02 eta: 1 day, 1:34:08 time: 0.620 data_time: 0.006 memory: 5148 grad_norm: 5.5949 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7791 loss: 2.7791 2022/06/27 19:15:14 - mmengine - INFO - Epoch(train) [8][2180/3757] lr: 1.000e-02 eta: 1 day, 1:34:02 time: 0.311 data_time: 0.007 memory: 5148 grad_norm: 6.0943 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2564 loss: 2.2564 2022/06/27 19:15:19 - mmengine - INFO - Epoch(train) [8][2200/3757] lr: 1.000e-02 eta: 1 day, 1:33:53 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 5.3515 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4767 loss: 2.4767 2022/06/27 19:15:24 - mmengine - INFO - Epoch(train) [8][2220/3757] lr: 1.000e-02 eta: 1 day, 1:33:48 time: 0.213 data_time: 0.014 memory: 5148 grad_norm: 5.6922 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7591 loss: 2.7591 2022/06/27 19:15:30 - mmengine - INFO - Epoch(train) [8][2240/3757] lr: 1.000e-02 eta: 1 day, 1:33:46 time: 0.554 data_time: 0.006 memory: 5148 grad_norm: 5.6089 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7814 loss: 2.7814 2022/06/27 19:15:35 - mmengine - INFO - Epoch(train) [8][2260/3757] lr: 1.000e-02 eta: 1 day, 1:33:35 time: 0.200 data_time: 0.017 memory: 5148 grad_norm: 5.1803 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4637 loss: 2.4637 2022/06/27 19:15:40 - mmengine - INFO - Epoch(train) [8][2280/3757] lr: 1.000e-02 eta: 1 day, 1:33:30 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.3395 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.6471 loss: 2.6471 2022/06/27 19:15:45 - mmengine - INFO - Epoch(train) [8][2300/3757] lr: 1.000e-02 eta: 1 day, 1:33:24 time: 0.273 data_time: 0.006 memory: 5148 grad_norm: 5.5782 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6646 loss: 2.6646 2022/06/27 19:15:50 - mmengine - INFO - Epoch(train) [8][2320/3757] lr: 1.000e-02 eta: 1 day, 1:33:16 time: 0.191 data_time: 0.012 memory: 5148 grad_norm: 5.3001 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3542 loss: 2.3542 2022/06/27 19:15:55 - mmengine - INFO - Epoch(train) [8][2340/3757] lr: 1.000e-02 eta: 1 day, 1:33:10 time: 0.200 data_time: 0.009 memory: 5148 grad_norm: 5.8553 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3907 loss: 2.3907 2022/06/27 19:16:01 - mmengine - INFO - Epoch(train) [8][2360/3757] lr: 1.000e-02 eta: 1 day, 1:33:06 time: 0.377 data_time: 0.011 memory: 5148 grad_norm: 5.4306 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.5481 loss: 2.5481 2022/06/27 19:16:06 - mmengine - INFO - Epoch(train) [8][2380/3757] lr: 1.000e-02 eta: 1 day, 1:32:57 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 6.1766 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6755 loss: 2.6755 2022/06/27 19:16:11 - mmengine - INFO - Epoch(train) [8][2400/3757] lr: 1.000e-02 eta: 1 day, 1:32:55 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 5.5094 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7269 loss: 2.7269 2022/06/27 19:16:17 - mmengine - INFO - Epoch(train) [8][2420/3757] lr: 1.000e-02 eta: 1 day, 1:32:53 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 5.5702 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7247 loss: 2.7247 2022/06/27 19:16:22 - mmengine - INFO - Epoch(train) [8][2440/3757] lr: 1.000e-02 eta: 1 day, 1:32:42 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 5.1456 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4228 loss: 2.4228 2022/06/27 19:16:27 - mmengine - INFO - Epoch(train) [8][2460/3757] lr: 1.000e-02 eta: 1 day, 1:32:38 time: 0.199 data_time: 0.009 memory: 5148 grad_norm: 6.1099 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2705 loss: 2.2705 2022/06/27 19:16:33 - mmengine - INFO - Epoch(train) [8][2480/3757] lr: 1.000e-02 eta: 1 day, 1:32:33 time: 0.345 data_time: 0.013 memory: 5148 grad_norm: 5.6474 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3054 loss: 2.3054 2022/06/27 19:16:38 - mmengine - INFO - Epoch(train) [8][2500/3757] lr: 1.000e-02 eta: 1 day, 1:32:26 time: 0.196 data_time: 0.015 memory: 5148 grad_norm: 6.3812 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3440 loss: 2.3440 2022/06/27 19:16:43 - mmengine - INFO - Epoch(train) [8][2520/3757] lr: 1.000e-02 eta: 1 day, 1:32:17 time: 0.194 data_time: 0.017 memory: 5148 grad_norm: 4.5167 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3051 loss: 2.3051 2022/06/27 19:16:49 - mmengine - INFO - Epoch(train) [8][2540/3757] lr: 1.000e-02 eta: 1 day, 1:32:18 time: 0.214 data_time: 0.013 memory: 5148 grad_norm: 5.2985 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1590 loss: 2.1590 2022/06/27 19:16:53 - mmengine - INFO - Epoch(train) [8][2560/3757] lr: 1.000e-02 eta: 1 day, 1:32:05 time: 0.193 data_time: 0.013 memory: 5148 grad_norm: 5.2337 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8083 loss: 2.8083 2022/06/27 19:16:59 - mmengine - INFO - Epoch(train) [8][2580/3757] lr: 1.000e-02 eta: 1 day, 1:32:04 time: 0.190 data_time: 0.014 memory: 5148 grad_norm: 5.4946 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8382 loss: 2.8382 2022/06/27 19:17:05 - mmengine - INFO - Epoch(train) [8][2600/3757] lr: 1.000e-02 eta: 1 day, 1:32:02 time: 0.870 data_time: 0.006 memory: 5148 grad_norm: 5.3005 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4449 loss: 2.4449 2022/06/27 19:17:09 - mmengine - INFO - Epoch(train) [8][2620/3757] lr: 1.000e-02 eta: 1 day, 1:31:50 time: 0.196 data_time: 0.009 memory: 5148 grad_norm: 5.4152 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3942 loss: 2.3942 2022/06/27 19:17:15 - mmengine - INFO - Epoch(train) [8][2640/3757] lr: 1.000e-02 eta: 1 day, 1:31:47 time: 0.200 data_time: 0.017 memory: 5148 grad_norm: 4.8594 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9222 loss: 2.9222 2022/06/27 19:17:20 - mmengine - INFO - Epoch(train) [8][2660/3757] lr: 1.000e-02 eta: 1 day, 1:31:41 time: 0.530 data_time: 0.018 memory: 5148 grad_norm: 5.2467 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7977 loss: 2.7977 2022/06/27 19:17:25 - mmengine - INFO - Epoch(train) [8][2680/3757] lr: 1.000e-02 eta: 1 day, 1:31:30 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 5.3506 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4506 loss: 2.4506 2022/06/27 19:17:30 - mmengine - INFO - Epoch(train) [8][2700/3757] lr: 1.000e-02 eta: 1 day, 1:31:27 time: 0.206 data_time: 0.021 memory: 5148 grad_norm: 5.4430 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8891 loss: 2.8891 2022/06/27 19:17:31 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 19:17:36 - mmengine - INFO - Epoch(train) [8][2720/3757] lr: 1.000e-02 eta: 1 day, 1:31:25 time: 0.280 data_time: 0.015 memory: 5148 grad_norm: 5.8098 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9037 loss: 2.9037 2022/06/27 19:17:41 - mmengine - INFO - Epoch(train) [8][2740/3757] lr: 1.000e-02 eta: 1 day, 1:31:15 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 5.7497 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6713 loss: 2.6713 2022/06/27 19:17:46 - mmengine - INFO - Epoch(train) [8][2760/3757] lr: 1.000e-02 eta: 1 day, 1:31:09 time: 0.218 data_time: 0.013 memory: 5148 grad_norm: 5.5833 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3298 loss: 2.3298 2022/06/27 19:17:52 - mmengine - INFO - Epoch(train) [8][2780/3757] lr: 1.000e-02 eta: 1 day, 1:31:08 time: 0.206 data_time: 0.014 memory: 5148 grad_norm: 5.4023 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8008 loss: 2.8008 2022/06/27 19:17:57 - mmengine - INFO - Epoch(train) [8][2800/3757] lr: 1.000e-02 eta: 1 day, 1:30:57 time: 0.217 data_time: 0.035 memory: 5148 grad_norm: 5.4227 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5471 loss: 2.5471 2022/06/27 19:18:02 - mmengine - INFO - Epoch(train) [8][2820/3757] lr: 1.000e-02 eta: 1 day, 1:30:54 time: 0.238 data_time: 0.010 memory: 5148 grad_norm: 5.8629 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6949 loss: 2.6949 2022/06/27 19:18:08 - mmengine - INFO - Epoch(train) [8][2840/3757] lr: 1.000e-02 eta: 1 day, 1:30:53 time: 0.204 data_time: 0.017 memory: 5148 grad_norm: 5.4136 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9163 loss: 2.9163 2022/06/27 19:18:13 - mmengine - INFO - Epoch(train) [8][2860/3757] lr: 1.000e-02 eta: 1 day, 1:30:47 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.9890 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4317 loss: 2.4317 2022/06/27 19:18:18 - mmengine - INFO - Epoch(train) [8][2880/3757] lr: 1.000e-02 eta: 1 day, 1:30:41 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.8186 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2880 loss: 2.2880 2022/06/27 19:18:23 - mmengine - INFO - Epoch(train) [8][2900/3757] lr: 1.000e-02 eta: 1 day, 1:30:32 time: 0.280 data_time: 0.012 memory: 5148 grad_norm: 4.9506 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5094 loss: 2.5094 2022/06/27 19:18:28 - mmengine - INFO - Epoch(train) [8][2920/3757] lr: 1.000e-02 eta: 1 day, 1:30:23 time: 0.216 data_time: 0.006 memory: 5148 grad_norm: 5.7786 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3000 loss: 2.3000 2022/06/27 19:18:35 - mmengine - INFO - Epoch(train) [8][2940/3757] lr: 1.000e-02 eta: 1 day, 1:30:30 time: 0.203 data_time: 0.009 memory: 5148 grad_norm: 5.8359 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5529 loss: 2.5529 2022/06/27 19:18:39 - mmengine - INFO - Epoch(train) [8][2960/3757] lr: 1.000e-02 eta: 1 day, 1:30:11 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 6.0745 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.6241 loss: 2.6241 2022/06/27 19:18:43 - mmengine - INFO - Epoch(train) [8][2980/3757] lr: 1.000e-02 eta: 1 day, 1:29:56 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 6.0178 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4071 loss: 2.4071 2022/06/27 19:18:48 - mmengine - INFO - Epoch(train) [8][3000/3757] lr: 1.000e-02 eta: 1 day, 1:29:48 time: 0.197 data_time: 0.009 memory: 5148 grad_norm: 5.4921 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0424 loss: 2.0424 2022/06/27 19:18:55 - mmengine - INFO - Epoch(train) [8][3020/3757] lr: 1.000e-02 eta: 1 day, 1:29:57 time: 0.194 data_time: 0.012 memory: 5148 grad_norm: 5.2091 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6592 loss: 2.6592 2022/06/27 19:19:00 - mmengine - INFO - Epoch(train) [8][3040/3757] lr: 1.000e-02 eta: 1 day, 1:29:48 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.0957 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2485 loss: 2.2485 2022/06/27 19:19:05 - mmengine - INFO - Epoch(train) [8][3060/3757] lr: 1.000e-02 eta: 1 day, 1:29:38 time: 0.191 data_time: 0.010 memory: 5148 grad_norm: 5.0903 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.7001 loss: 2.7001 2022/06/27 19:19:10 - mmengine - INFO - Epoch(train) [8][3080/3757] lr: 1.000e-02 eta: 1 day, 1:29:34 time: 0.222 data_time: 0.016 memory: 5148 grad_norm: 5.8376 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4869 loss: 2.4869 2022/06/27 19:19:15 - mmengine - INFO - Epoch(train) [8][3100/3757] lr: 1.000e-02 eta: 1 day, 1:29:30 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 5.4175 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6426 loss: 2.6426 2022/06/27 19:19:20 - mmengine - INFO - Epoch(train) [8][3120/3757] lr: 1.000e-02 eta: 1 day, 1:29:17 time: 0.208 data_time: 0.006 memory: 5148 grad_norm: 5.5889 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2570 loss: 2.2570 2022/06/27 19:19:26 - mmengine - INFO - Epoch(train) [8][3140/3757] lr: 1.000e-02 eta: 1 day, 1:29:20 time: 0.204 data_time: 0.019 memory: 5148 grad_norm: 5.7323 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5937 loss: 2.5937 2022/06/27 19:19:31 - mmengine - INFO - Epoch(train) [8][3160/3757] lr: 1.000e-02 eta: 1 day, 1:29:11 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 5.6479 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.9763 loss: 1.9763 2022/06/27 19:19:36 - mmengine - INFO - Epoch(train) [8][3180/3757] lr: 1.000e-02 eta: 1 day, 1:28:59 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.5074 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4401 loss: 2.4401 2022/06/27 19:19:42 - mmengine - INFO - Epoch(train) [8][3200/3757] lr: 1.000e-02 eta: 1 day, 1:29:00 time: 0.207 data_time: 0.029 memory: 5148 grad_norm: 5.3691 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5980 loss: 2.5980 2022/06/27 19:19:47 - mmengine - INFO - Epoch(train) [8][3220/3757] lr: 1.000e-02 eta: 1 day, 1:29:00 time: 0.216 data_time: 0.010 memory: 5148 grad_norm: 5.4056 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.4889 loss: 2.4889 2022/06/27 19:19:53 - mmengine - INFO - Epoch(train) [8][3240/3757] lr: 1.000e-02 eta: 1 day, 1:28:55 time: 0.573 data_time: 0.010 memory: 5148 grad_norm: 5.1979 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9372 loss: 1.9372 2022/06/27 19:19:58 - mmengine - INFO - Epoch(train) [8][3260/3757] lr: 1.000e-02 eta: 1 day, 1:28:47 time: 0.203 data_time: 0.028 memory: 5148 grad_norm: 5.8490 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6557 loss: 2.6557 2022/06/27 19:20:04 - mmengine - INFO - Epoch(train) [8][3280/3757] lr: 1.000e-02 eta: 1 day, 1:28:47 time: 0.205 data_time: 0.022 memory: 5148 grad_norm: 5.6470 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2167 loss: 2.2167 2022/06/27 19:20:08 - mmengine - INFO - Epoch(train) [8][3300/3757] lr: 1.000e-02 eta: 1 day, 1:28:33 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.0185 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3739 loss: 2.3739 2022/06/27 19:20:15 - mmengine - INFO - Epoch(train) [8][3320/3757] lr: 1.000e-02 eta: 1 day, 1:28:43 time: 0.204 data_time: 0.024 memory: 5148 grad_norm: 5.1337 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1789 loss: 3.1789 2022/06/27 19:20:19 - mmengine - INFO - Epoch(train) [8][3340/3757] lr: 1.000e-02 eta: 1 day, 1:28:23 time: 0.200 data_time: 0.009 memory: 5148 grad_norm: 5.4531 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5637 loss: 2.5637 2022/06/27 19:20:23 - mmengine - INFO - Epoch(train) [8][3360/3757] lr: 1.000e-02 eta: 1 day, 1:28:03 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.4220 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8134 loss: 2.8134 2022/06/27 19:20:28 - mmengine - INFO - Epoch(train) [8][3380/3757] lr: 1.000e-02 eta: 1 day, 1:27:57 time: 0.201 data_time: 0.009 memory: 5148 grad_norm: 4.9906 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.5099 loss: 2.5099 2022/06/27 19:20:34 - mmengine - INFO - Epoch(train) [8][3400/3757] lr: 1.000e-02 eta: 1 day, 1:27:55 time: 0.202 data_time: 0.012 memory: 5148 grad_norm: 5.0609 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4374 loss: 2.4374 2022/06/27 19:20:39 - mmengine - INFO - Epoch(train) [8][3420/3757] lr: 1.000e-02 eta: 1 day, 1:27:49 time: 0.198 data_time: 0.015 memory: 5148 grad_norm: 5.6351 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5663 loss: 2.5663 2022/06/27 19:20:44 - mmengine - INFO - Epoch(train) [8][3440/3757] lr: 1.000e-02 eta: 1 day, 1:27:41 time: 0.192 data_time: 0.009 memory: 5148 grad_norm: 4.9939 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7449 loss: 2.7449 2022/06/27 19:20:49 - mmengine - INFO - Epoch(train) [8][3460/3757] lr: 1.000e-02 eta: 1 day, 1:27:37 time: 0.356 data_time: 0.007 memory: 5148 grad_norm: 5.3797 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.7370 loss: 2.7370 2022/06/27 19:20:55 - mmengine - INFO - Epoch(train) [8][3480/3757] lr: 1.000e-02 eta: 1 day, 1:27:33 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 6.0397 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9348 loss: 2.9348 2022/06/27 19:21:00 - mmengine - INFO - Epoch(train) [8][3500/3757] lr: 1.000e-02 eta: 1 day, 1:27:31 time: 0.200 data_time: 0.014 memory: 5148 grad_norm: 5.1009 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2871 loss: 2.2871 2022/06/27 19:21:06 - mmengine - INFO - Epoch(train) [8][3520/3757] lr: 1.000e-02 eta: 1 day, 1:27:32 time: 0.830 data_time: 0.007 memory: 5148 grad_norm: 5.8326 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.5653 loss: 2.5653 2022/06/27 19:21:11 - mmengine - INFO - Epoch(train) [8][3540/3757] lr: 1.000e-02 eta: 1 day, 1:27:20 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 5.2890 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9598 loss: 1.9598 2022/06/27 19:21:17 - mmengine - INFO - Epoch(train) [8][3560/3757] lr: 1.000e-02 eta: 1 day, 1:27:21 time: 0.198 data_time: 0.013 memory: 5148 grad_norm: 6.3128 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6103 loss: 2.6103 2022/06/27 19:21:22 - mmengine - INFO - Epoch(train) [8][3580/3757] lr: 1.000e-02 eta: 1 day, 1:27:18 time: 1.065 data_time: 0.010 memory: 5148 grad_norm: 5.4136 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4738 loss: 2.4738 2022/06/27 19:21:27 - mmengine - INFO - Epoch(train) [8][3600/3757] lr: 1.000e-02 eta: 1 day, 1:27:01 time: 0.213 data_time: 0.009 memory: 5148 grad_norm: 6.2177 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2638 loss: 2.2638 2022/06/27 19:21:32 - mmengine - INFO - Epoch(train) [8][3620/3757] lr: 1.000e-02 eta: 1 day, 1:26:56 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 5.6866 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5514 loss: 2.5514 2022/06/27 19:21:37 - mmengine - INFO - Epoch(train) [8][3640/3757] lr: 1.000e-02 eta: 1 day, 1:26:54 time: 0.786 data_time: 0.006 memory: 5148 grad_norm: 5.3852 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3327 loss: 2.3327 2022/06/27 19:21:43 - mmengine - INFO - Epoch(train) [8][3660/3757] lr: 1.000e-02 eta: 1 day, 1:26:47 time: 0.227 data_time: 0.040 memory: 5148 grad_norm: 5.2367 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4306 loss: 2.4306 2022/06/27 19:21:48 - mmengine - INFO - Epoch(train) [8][3680/3757] lr: 1.000e-02 eta: 1 day, 1:26:40 time: 0.208 data_time: 0.010 memory: 5148 grad_norm: 5.4717 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6696 loss: 2.6696 2022/06/27 19:21:53 - mmengine - INFO - Epoch(train) [8][3700/3757] lr: 1.000e-02 eta: 1 day, 1:26:33 time: 0.329 data_time: 0.007 memory: 5148 grad_norm: 5.0865 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8121 loss: 2.8121 2022/06/27 19:21:53 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 19:21:59 - mmengine - INFO - Epoch(train) [8][3720/3757] lr: 1.000e-02 eta: 1 day, 1:26:31 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.8558 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.4825 loss: 2.4825 2022/06/27 19:22:03 - mmengine - INFO - Epoch(train) [8][3740/3757] lr: 1.000e-02 eta: 1 day, 1:26:20 time: 0.199 data_time: 0.005 memory: 5148 grad_norm: 5.3401 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4263 loss: 2.4263 2022/06/27 19:22:07 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 19:22:13 - mmengine - INFO - Epoch(val) [8][20/310] eta: 0:01:13 time: 0.304 data_time: 0.232 memory: 5148 2022/06/27 19:22:18 - mmengine - INFO - Epoch(val) [8][40/310] eta: 0:00:59 time: 0.083 data_time: 0.009 memory: 1367 2022/06/27 19:22:23 - mmengine - INFO - Epoch(val) [8][60/310] eta: 0:00:54 time: 0.159 data_time: 0.088 memory: 1367 2022/06/27 19:22:28 - mmengine - INFO - Epoch(val) [8][80/310] eta: 0:00:55 time: 0.088 data_time: 0.013 memory: 1367 2022/06/27 19:22:34 - mmengine - INFO - Epoch(val) [8][100/310] eta: 0:00:48 time: 0.079 data_time: 0.008 memory: 1367 2022/06/27 19:22:38 - mmengine - INFO - Epoch(val) [8][120/310] eta: 0:00:42 time: 0.081 data_time: 0.009 memory: 1367 2022/06/27 19:22:45 - mmengine - INFO - Epoch(val) [8][140/310] eta: 0:00:45 time: 0.349 data_time: 0.269 memory: 1367 2022/06/27 19:22:49 - mmengine - INFO - Epoch(val) [8][160/310] eta: 0:00:36 time: 0.416 data_time: 0.345 memory: 1367 2022/06/27 19:22:55 - mmengine - INFO - Epoch(val) [8][180/310] eta: 0:00:40 time: 0.406 data_time: 0.330 memory: 1367 2022/06/27 19:22:59 - mmengine - INFO - Epoch(val) [8][200/310] eta: 0:00:23 time: 0.105 data_time: 0.034 memory: 1367 2022/06/27 19:23:06 - mmengine - INFO - Epoch(val) [8][220/310] eta: 0:00:27 time: 0.076 data_time: 0.005 memory: 1367 2022/06/27 19:23:10 - mmengine - INFO - Epoch(val) [8][240/310] eta: 0:00:15 time: 0.086 data_time: 0.005 memory: 1367 2022/06/27 19:23:16 - mmengine - INFO - Epoch(val) [8][260/310] eta: 0:00:17 time: 0.076 data_time: 0.004 memory: 1367 2022/06/27 19:23:21 - mmengine - INFO - Epoch(val) [8][280/310] eta: 0:00:07 time: 0.078 data_time: 0.005 memory: 1367 2022/06/27 19:23:26 - mmengine - INFO - Epoch(val) [8][300/310] eta: 0:00:03 time: 0.084 data_time: 0.008 memory: 1367 2022/06/27 19:23:30 - mmengine - INFO - Epoch(val) [8][310/310] acc/top1: 0.4752 acc/top5: 0.7386 acc/mean1: 0.4750 2022/06/27 19:23:38 - mmengine - INFO - Epoch(train) [9][20/3757] lr: 1.000e-02 eta: 1 day, 1:26:17 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.3113 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8588 loss: 1.8588 2022/06/27 19:23:44 - mmengine - INFO - Epoch(train) [9][40/3757] lr: 1.000e-02 eta: 1 day, 1:26:14 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 5.0659 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7883 loss: 2.7883 2022/06/27 19:23:48 - mmengine - INFO - Epoch(train) [9][60/3757] lr: 1.000e-02 eta: 1 day, 1:26:02 time: 0.188 data_time: 0.009 memory: 5148 grad_norm: 5.1028 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4898 loss: 2.4898 2022/06/27 19:23:54 - mmengine - INFO - Epoch(train) [9][80/3757] lr: 1.000e-02 eta: 1 day, 1:26:02 time: 0.193 data_time: 0.006 memory: 5148 grad_norm: 5.6745 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5906 loss: 2.5906 2022/06/27 19:24:00 - mmengine - INFO - Epoch(train) [9][100/3757] lr: 1.000e-02 eta: 1 day, 1:25:59 time: 0.206 data_time: 0.006 memory: 5148 grad_norm: 5.9390 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4989 loss: 2.4989 2022/06/27 19:24:04 - mmengine - INFO - Epoch(train) [9][120/3757] lr: 1.000e-02 eta: 1 day, 1:25:48 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 5.6627 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6661 loss: 2.6661 2022/06/27 19:24:10 - mmengine - INFO - Epoch(train) [9][140/3757] lr: 1.000e-02 eta: 1 day, 1:25:47 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.5020 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4499 loss: 2.4499 2022/06/27 19:24:16 - mmengine - INFO - Epoch(train) [9][160/3757] lr: 1.000e-02 eta: 1 day, 1:25:43 time: 0.193 data_time: 0.006 memory: 5148 grad_norm: 5.3103 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2569 loss: 2.2569 2022/06/27 19:24:20 - mmengine - INFO - Epoch(train) [9][180/3757] lr: 1.000e-02 eta: 1 day, 1:25:32 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 4.9510 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5460 loss: 2.5460 2022/06/27 19:24:26 - mmengine - INFO - Epoch(train) [9][200/3757] lr: 1.000e-02 eta: 1 day, 1:25:30 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.5788 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0537 loss: 2.0537 2022/06/27 19:24:32 - mmengine - INFO - Epoch(train) [9][220/3757] lr: 1.000e-02 eta: 1 day, 1:25:30 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 6.2154 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1532 loss: 2.1532 2022/06/27 19:24:36 - mmengine - INFO - Epoch(train) [9][240/3757] lr: 1.000e-02 eta: 1 day, 1:25:19 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 6.2267 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3685 loss: 2.3685 2022/06/27 19:24:42 - mmengine - INFO - Epoch(train) [9][260/3757] lr: 1.000e-02 eta: 1 day, 1:25:13 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 4.8101 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0219 loss: 2.0219 2022/06/27 19:24:47 - mmengine - INFO - Epoch(train) [9][280/3757] lr: 1.000e-02 eta: 1 day, 1:25:07 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 5.2428 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3249 loss: 2.3249 2022/06/27 19:24:52 - mmengine - INFO - Epoch(train) [9][300/3757] lr: 1.000e-02 eta: 1 day, 1:24:57 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 5.1331 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4073 loss: 2.4073 2022/06/27 19:24:58 - mmengine - INFO - Epoch(train) [9][320/3757] lr: 1.000e-02 eta: 1 day, 1:24:56 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 5.1501 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4286 loss: 2.4286 2022/06/27 19:25:03 - mmengine - INFO - Epoch(train) [9][340/3757] lr: 1.000e-02 eta: 1 day, 1:24:56 time: 0.540 data_time: 0.009 memory: 5148 grad_norm: 5.0226 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3408 loss: 2.3408 2022/06/27 19:25:08 - mmengine - INFO - Epoch(train) [9][360/3757] lr: 1.000e-02 eta: 1 day, 1:24:43 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 5.5570 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7418 loss: 2.7418 2022/06/27 19:25:13 - mmengine - INFO - Epoch(train) [9][380/3757] lr: 1.000e-02 eta: 1 day, 1:24:38 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 6.0094 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1477 loss: 2.1477 2022/06/27 19:25:19 - mmengine - INFO - Epoch(train) [9][400/3757] lr: 1.000e-02 eta: 1 day, 1:24:37 time: 1.068 data_time: 0.007 memory: 5148 grad_norm: 6.0392 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6176 loss: 2.6176 2022/06/27 19:25:24 - mmengine - INFO - Epoch(train) [9][420/3757] lr: 1.000e-02 eta: 1 day, 1:24:28 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 5.4568 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3286 loss: 2.3286 2022/06/27 19:25:29 - mmengine - INFO - Epoch(train) [9][440/3757] lr: 1.000e-02 eta: 1 day, 1:24:25 time: 0.189 data_time: 0.007 memory: 5148 grad_norm: 5.7745 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3906 loss: 2.3906 2022/06/27 19:25:35 - mmengine - INFO - Epoch(train) [9][460/3757] lr: 1.000e-02 eta: 1 day, 1:24:21 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.3725 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6367 loss: 2.6367 2022/06/27 19:25:40 - mmengine - INFO - Epoch(train) [9][480/3757] lr: 1.000e-02 eta: 1 day, 1:24:10 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 6.2057 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4810 loss: 2.4810 2022/06/27 19:25:45 - mmengine - INFO - Epoch(train) [9][500/3757] lr: 1.000e-02 eta: 1 day, 1:24:10 time: 0.195 data_time: 0.013 memory: 5148 grad_norm: 6.1345 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5179 loss: 2.5179 2022/06/27 19:25:51 - mmengine - INFO - Epoch(train) [9][520/3757] lr: 1.000e-02 eta: 1 day, 1:24:11 time: 0.711 data_time: 0.011 memory: 5148 grad_norm: 5.5132 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4590 loss: 2.4590 2022/06/27 19:25:56 - mmengine - INFO - Epoch(train) [9][540/3757] lr: 1.000e-02 eta: 1 day, 1:23:57 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 6.2050 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6248 loss: 2.6248 2022/06/27 19:26:01 - mmengine - INFO - Epoch(train) [9][560/3757] lr: 1.000e-02 eta: 1 day, 1:23:52 time: 0.201 data_time: 0.015 memory: 5148 grad_norm: 5.1932 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5696 loss: 2.5696 2022/06/27 19:26:07 - mmengine - INFO - Epoch(train) [9][580/3757] lr: 1.000e-02 eta: 1 day, 1:23:56 time: 1.097 data_time: 0.006 memory: 5148 grad_norm: 5.9966 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5964 loss: 2.5964 2022/06/27 19:26:12 - mmengine - INFO - Epoch(train) [9][600/3757] lr: 1.000e-02 eta: 1 day, 1:23:44 time: 0.206 data_time: 0.006 memory: 5148 grad_norm: 5.9980 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2095 loss: 2.2095 2022/06/27 19:26:18 - mmengine - INFO - Epoch(train) [9][620/3757] lr: 1.000e-02 eta: 1 day, 1:23:42 time: 0.196 data_time: 0.018 memory: 5148 grad_norm: 5.2671 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1207 loss: 2.1207 2022/06/27 19:26:23 - mmengine - INFO - Epoch(train) [9][640/3757] lr: 1.000e-02 eta: 1 day, 1:23:40 time: 0.868 data_time: 0.007 memory: 5148 grad_norm: 5.7885 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4416 loss: 2.4416 2022/06/27 19:26:28 - mmengine - INFO - Epoch(train) [9][660/3757] lr: 1.000e-02 eta: 1 day, 1:23:29 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 5.4887 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1266 loss: 2.1266 2022/06/27 19:26:34 - mmengine - INFO - Epoch(train) [9][680/3757] lr: 1.000e-02 eta: 1 day, 1:23:36 time: 0.211 data_time: 0.018 memory: 5148 grad_norm: 5.5515 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9934 loss: 1.9934 2022/06/27 19:26:39 - mmengine - INFO - Epoch(train) [9][700/3757] lr: 1.000e-02 eta: 1 day, 1:23:20 time: 0.547 data_time: 0.006 memory: 5148 grad_norm: 5.9785 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.5693 loss: 2.5693 2022/06/27 19:26:44 - mmengine - INFO - Epoch(train) [9][720/3757] lr: 1.000e-02 eta: 1 day, 1:23:14 time: 0.199 data_time: 0.014 memory: 5148 grad_norm: 5.8515 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6225 loss: 2.6225 2022/06/27 19:26:49 - mmengine - INFO - Epoch(train) [9][740/3757] lr: 1.000e-02 eta: 1 day, 1:23:09 time: 0.190 data_time: 0.011 memory: 5148 grad_norm: 5.9066 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4593 loss: 2.4593 2022/06/27 19:26:55 - mmengine - INFO - Epoch(train) [9][760/3757] lr: 1.000e-02 eta: 1 day, 1:23:09 time: 0.638 data_time: 0.007 memory: 5148 grad_norm: 5.5988 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4929 loss: 2.4929 2022/06/27 19:27:00 - mmengine - INFO - Epoch(train) [9][780/3757] lr: 1.000e-02 eta: 1 day, 1:22:57 time: 0.201 data_time: 0.021 memory: 5148 grad_norm: 5.5497 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6972 loss: 2.6972 2022/06/27 19:27:05 - mmengine - INFO - Epoch(train) [9][800/3757] lr: 1.000e-02 eta: 1 day, 1:22:53 time: 0.198 data_time: 0.018 memory: 5148 grad_norm: 5.5925 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3175 loss: 2.3175 2022/06/27 19:27:11 - mmengine - INFO - Epoch(train) [9][820/3757] lr: 1.000e-02 eta: 1 day, 1:22:51 time: 0.918 data_time: 0.006 memory: 5148 grad_norm: 5.6133 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0327 loss: 2.0327 2022/06/27 19:27:16 - mmengine - INFO - Epoch(train) [9][840/3757] lr: 1.000e-02 eta: 1 day, 1:22:40 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 5.0059 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4567 loss: 2.4567 2022/06/27 19:27:21 - mmengine - INFO - Epoch(train) [9][860/3757] lr: 1.000e-02 eta: 1 day, 1:22:33 time: 0.202 data_time: 0.012 memory: 5148 grad_norm: 5.6141 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7233 loss: 2.7233 2022/06/27 19:27:26 - mmengine - INFO - Epoch(train) [9][880/3757] lr: 1.000e-02 eta: 1 day, 1:22:31 time: 0.887 data_time: 0.009 memory: 5148 grad_norm: 5.1997 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5823 loss: 2.5823 2022/06/27 19:27:31 - mmengine - INFO - Epoch(train) [9][900/3757] lr: 1.000e-02 eta: 1 day, 1:22:20 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.7551 top1_acc: 0.0000 top5_acc: 0.7500 loss_cls: 2.4709 loss: 2.4709 2022/06/27 19:27:37 - mmengine - INFO - Epoch(train) [9][920/3757] lr: 1.000e-02 eta: 1 day, 1:22:18 time: 0.197 data_time: 0.016 memory: 5148 grad_norm: 5.9113 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2811 loss: 2.2811 2022/06/27 19:27:43 - mmengine - INFO - Epoch(train) [9][940/3757] lr: 1.000e-02 eta: 1 day, 1:22:19 time: 0.681 data_time: 0.008 memory: 5148 grad_norm: 5.3662 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4005 loss: 2.4005 2022/06/27 19:27:44 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 19:27:47 - mmengine - INFO - Epoch(train) [9][960/3757] lr: 1.000e-02 eta: 1 day, 1:22:05 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.2704 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.4844 loss: 2.4844 2022/06/27 19:27:54 - mmengine - INFO - Epoch(train) [9][980/3757] lr: 1.000e-02 eta: 1 day, 1:22:13 time: 0.205 data_time: 0.019 memory: 5148 grad_norm: 6.0590 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5570 loss: 2.5570 2022/06/27 19:27:59 - mmengine - INFO - Epoch(train) [9][1000/3757] lr: 1.000e-02 eta: 1 day, 1:22:04 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 5.3017 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2155 loss: 2.2155 2022/06/27 19:28:04 - mmengine - INFO - Epoch(train) [9][1020/3757] lr: 1.000e-02 eta: 1 day, 1:21:57 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 6.4289 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2485 loss: 2.2485 2022/06/27 19:28:09 - mmengine - INFO - Epoch(train) [9][1040/3757] lr: 1.000e-02 eta: 1 day, 1:21:49 time: 0.196 data_time: 0.022 memory: 5148 grad_norm: 5.2906 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2555 loss: 2.2555 2022/06/27 19:28:15 - mmengine - INFO - Epoch(train) [9][1060/3757] lr: 1.000e-02 eta: 1 day, 1:21:52 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 5.4868 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4369 loss: 2.4369 2022/06/27 19:28:20 - mmengine - INFO - Epoch(train) [9][1080/3757] lr: 1.000e-02 eta: 1 day, 1:21:45 time: 0.234 data_time: 0.008 memory: 5148 grad_norm: 5.8522 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4647 loss: 2.4647 2022/06/27 19:28:25 - mmengine - INFO - Epoch(train) [9][1100/3757] lr: 1.000e-02 eta: 1 day, 1:21:38 time: 0.197 data_time: 0.025 memory: 5148 grad_norm: 5.3240 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3556 loss: 2.3556 2022/06/27 19:28:31 - mmengine - INFO - Epoch(train) [9][1120/3757] lr: 1.000e-02 eta: 1 day, 1:21:36 time: 0.218 data_time: 0.010 memory: 5148 grad_norm: 5.0829 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5542 loss: 2.5542 2022/06/27 19:28:36 - mmengine - INFO - Epoch(train) [9][1140/3757] lr: 1.000e-02 eta: 1 day, 1:21:28 time: 0.205 data_time: 0.006 memory: 5148 grad_norm: 5.6014 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.4004 loss: 2.4004 2022/06/27 19:28:41 - mmengine - INFO - Epoch(train) [9][1160/3757] lr: 1.000e-02 eta: 1 day, 1:21:24 time: 0.204 data_time: 0.028 memory: 5148 grad_norm: 5.1150 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3362 loss: 2.3362 2022/06/27 19:28:47 - mmengine - INFO - Epoch(train) [9][1180/3757] lr: 1.000e-02 eta: 1 day, 1:21:22 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 5.3406 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4239 loss: 2.4239 2022/06/27 19:28:52 - mmengine - INFO - Epoch(train) [9][1200/3757] lr: 1.000e-02 eta: 1 day, 1:21:12 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 4.9049 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7512 loss: 2.7512 2022/06/27 19:28:57 - mmengine - INFO - Epoch(train) [9][1220/3757] lr: 1.000e-02 eta: 1 day, 1:21:03 time: 0.205 data_time: 0.017 memory: 5148 grad_norm: 5.1109 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4486 loss: 2.4486 2022/06/27 19:29:02 - mmengine - INFO - Epoch(train) [9][1240/3757] lr: 1.000e-02 eta: 1 day, 1:21:01 time: 0.215 data_time: 0.010 memory: 5148 grad_norm: 5.5445 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5833 loss: 2.5833 2022/06/27 19:29:07 - mmengine - INFO - Epoch(train) [9][1260/3757] lr: 1.000e-02 eta: 1 day, 1:20:54 time: 0.557 data_time: 0.007 memory: 5148 grad_norm: 6.4135 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6195 loss: 2.6195 2022/06/27 19:29:13 - mmengine - INFO - Epoch(train) [9][1280/3757] lr: 1.000e-02 eta: 1 day, 1:20:48 time: 0.194 data_time: 0.022 memory: 5148 grad_norm: 5.3899 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5049 loss: 2.5049 2022/06/27 19:29:18 - mmengine - INFO - Epoch(train) [9][1300/3757] lr: 1.000e-02 eta: 1 day, 1:20:45 time: 0.201 data_time: 0.014 memory: 5148 grad_norm: 5.3245 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0905 loss: 2.0905 2022/06/27 19:29:23 - mmengine - INFO - Epoch(train) [9][1320/3757] lr: 1.000e-02 eta: 1 day, 1:20:34 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 5.8358 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9764 loss: 2.9764 2022/06/27 19:29:29 - mmengine - INFO - Epoch(train) [9][1340/3757] lr: 1.000e-02 eta: 1 day, 1:20:33 time: 0.199 data_time: 0.016 memory: 5148 grad_norm: 5.5489 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.2863 loss: 2.2863 2022/06/27 19:29:35 - mmengine - INFO - Epoch(train) [9][1360/3757] lr: 1.000e-02 eta: 1 day, 1:20:37 time: 0.225 data_time: 0.006 memory: 5148 grad_norm: 5.3733 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3285 loss: 2.3285 2022/06/27 19:29:39 - mmengine - INFO - Epoch(train) [9][1380/3757] lr: 1.000e-02 eta: 1 day, 1:20:24 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.4342 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4899 loss: 2.4899 2022/06/27 19:29:45 - mmengine - INFO - Epoch(train) [9][1400/3757] lr: 1.000e-02 eta: 1 day, 1:20:22 time: 0.204 data_time: 0.016 memory: 5148 grad_norm: 5.5369 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6799 loss: 2.6799 2022/06/27 19:29:50 - mmengine - INFO - Epoch(train) [9][1420/3757] lr: 1.000e-02 eta: 1 day, 1:20:18 time: 0.200 data_time: 0.012 memory: 5148 grad_norm: 6.3104 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5059 loss: 2.5059 2022/06/27 19:29:55 - mmengine - INFO - Epoch(train) [9][1440/3757] lr: 1.000e-02 eta: 1 day, 1:20:09 time: 0.201 data_time: 0.013 memory: 5148 grad_norm: 5.5563 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4626 loss: 2.4626 2022/06/27 19:30:00 - mmengine - INFO - Epoch(train) [9][1460/3757] lr: 1.000e-02 eta: 1 day, 1:19:55 time: 0.187 data_time: 0.007 memory: 5148 grad_norm: 5.4621 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0562 loss: 2.0562 2022/06/27 19:30:06 - mmengine - INFO - Epoch(train) [9][1480/3757] lr: 1.000e-02 eta: 1 day, 1:19:54 time: 0.199 data_time: 0.014 memory: 5148 grad_norm: 5.8072 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0201 loss: 2.0201 2022/06/27 19:30:11 - mmengine - INFO - Epoch(train) [9][1500/3757] lr: 1.000e-02 eta: 1 day, 1:19:47 time: 0.200 data_time: 0.015 memory: 5148 grad_norm: 5.6803 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3989 loss: 2.3989 2022/06/27 19:30:17 - mmengine - INFO - Epoch(train) [9][1520/3757] lr: 1.000e-02 eta: 1 day, 1:19:49 time: 0.203 data_time: 0.005 memory: 5148 grad_norm: 4.8677 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4967 loss: 2.4967 2022/06/27 19:30:22 - mmengine - INFO - Epoch(train) [9][1540/3757] lr: 1.000e-02 eta: 1 day, 1:19:39 time: 0.194 data_time: 0.020 memory: 5148 grad_norm: 5.3333 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3480 loss: 2.3480 2022/06/27 19:30:26 - mmengine - INFO - Epoch(train) [9][1560/3757] lr: 1.000e-02 eta: 1 day, 1:19:28 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 5.2957 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4010 loss: 2.4010 2022/06/27 19:30:32 - mmengine - INFO - Epoch(train) [9][1580/3757] lr: 1.000e-02 eta: 1 day, 1:19:30 time: 0.208 data_time: 0.006 memory: 5148 grad_norm: 5.1554 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2215 loss: 2.2215 2022/06/27 19:30:38 - mmengine - INFO - Epoch(train) [9][1600/3757] lr: 1.000e-02 eta: 1 day, 1:19:29 time: 0.232 data_time: 0.048 memory: 5148 grad_norm: 5.7469 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2821 loss: 2.2821 2022/06/27 19:30:42 - mmengine - INFO - Epoch(train) [9][1620/3757] lr: 1.000e-02 eta: 1 day, 1:19:14 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 6.0835 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6532 loss: 2.6532 2022/06/27 19:30:48 - mmengine - INFO - Epoch(train) [9][1640/3757] lr: 1.000e-02 eta: 1 day, 1:19:15 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.8511 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5763 loss: 2.5763 2022/06/27 19:30:55 - mmengine - INFO - Epoch(train) [9][1660/3757] lr: 1.000e-02 eta: 1 day, 1:19:22 time: 0.222 data_time: 0.044 memory: 5148 grad_norm: 5.9485 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3984 loss: 2.3984 2022/06/27 19:30:59 - mmengine - INFO - Epoch(train) [9][1680/3757] lr: 1.000e-02 eta: 1 day, 1:19:03 time: 0.200 data_time: 0.009 memory: 5148 grad_norm: 6.3482 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0122 loss: 3.0122 2022/06/27 19:31:03 - mmengine - INFO - Epoch(train) [9][1700/3757] lr: 1.000e-02 eta: 1 day, 1:18:44 time: 0.193 data_time: 0.006 memory: 5148 grad_norm: 6.1235 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3085 loss: 2.3085 2022/06/27 19:31:08 - mmengine - INFO - Epoch(train) [9][1720/3757] lr: 1.000e-02 eta: 1 day, 1:18:38 time: 0.190 data_time: 0.010 memory: 5148 grad_norm: 5.3560 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3705 loss: 2.3705 2022/06/27 19:31:13 - mmengine - INFO - Epoch(train) [9][1740/3757] lr: 1.000e-02 eta: 1 day, 1:18:26 time: 0.503 data_time: 0.086 memory: 5148 grad_norm: 4.9949 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3026 loss: 2.3026 2022/06/27 19:31:18 - mmengine - INFO - Epoch(train) [9][1760/3757] lr: 1.000e-02 eta: 1 day, 1:18:21 time: 0.199 data_time: 0.013 memory: 5148 grad_norm: 5.5449 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2195 loss: 2.2195 2022/06/27 19:31:23 - mmengine - INFO - Epoch(train) [9][1780/3757] lr: 1.000e-02 eta: 1 day, 1:18:16 time: 0.402 data_time: 0.009 memory: 5148 grad_norm: 5.6720 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4942 loss: 2.4942 2022/06/27 19:31:29 - mmengine - INFO - Epoch(train) [9][1800/3757] lr: 1.000e-02 eta: 1 day, 1:18:11 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.2764 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5583 loss: 2.5583 2022/06/27 19:31:34 - mmengine - INFO - Epoch(train) [9][1820/3757] lr: 1.000e-02 eta: 1 day, 1:18:08 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 5.9049 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3911 loss: 2.3911 2022/06/27 19:31:39 - mmengine - INFO - Epoch(train) [9][1840/3757] lr: 1.000e-02 eta: 1 day, 1:18:01 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 5.9708 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3353 loss: 2.3353 2022/06/27 19:31:45 - mmengine - INFO - Epoch(train) [9][1860/3757] lr: 1.000e-02 eta: 1 day, 1:17:57 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.0830 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5689 loss: 2.5689 2022/06/27 19:31:51 - mmengine - INFO - Epoch(train) [9][1880/3757] lr: 1.000e-02 eta: 1 day, 1:17:58 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 4.9527 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0810 loss: 2.0810 2022/06/27 19:31:56 - mmengine - INFO - Epoch(train) [9][1900/3757] lr: 1.000e-02 eta: 1 day, 1:17:55 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 5.6161 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3359 loss: 2.3359 2022/06/27 19:32:01 - mmengine - INFO - Epoch(train) [9][1920/3757] lr: 1.000e-02 eta: 1 day, 1:17:46 time: 0.535 data_time: 0.015 memory: 5148 grad_norm: 5.0630 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3649 loss: 2.3649 2022/06/27 19:32:07 - mmengine - INFO - Epoch(train) [9][1940/3757] lr: 1.000e-02 eta: 1 day, 1:17:41 time: 0.213 data_time: 0.010 memory: 5148 grad_norm: 5.7844 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5484 loss: 2.5484 2022/06/27 19:32:07 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 19:32:11 - mmengine - INFO - Epoch(train) [9][1960/3757] lr: 1.000e-02 eta: 1 day, 1:17:32 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 5.9311 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9639 loss: 1.9639 2022/06/27 19:32:18 - mmengine - INFO - Epoch(train) [9][1980/3757] lr: 1.000e-02 eta: 1 day, 1:17:36 time: 0.791 data_time: 0.010 memory: 5148 grad_norm: 5.5070 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3058 loss: 2.3058 2022/06/27 19:32:23 - mmengine - INFO - Epoch(train) [9][2000/3757] lr: 1.000e-02 eta: 1 day, 1:17:27 time: 0.209 data_time: 0.010 memory: 5148 grad_norm: 5.2858 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5126 loss: 2.5126 2022/06/27 19:32:28 - mmengine - INFO - Epoch(train) [9][2020/3757] lr: 1.000e-02 eta: 1 day, 1:17:22 time: 0.206 data_time: 0.013 memory: 5148 grad_norm: 5.9102 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.1510 loss: 3.1510 2022/06/27 19:32:34 - mmengine - INFO - Epoch(train) [9][2040/3757] lr: 1.000e-02 eta: 1 day, 1:17:29 time: 1.660 data_time: 0.018 memory: 5148 grad_norm: 5.3991 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5553 loss: 2.5553 2022/06/27 19:32:39 - mmengine - INFO - Epoch(train) [9][2060/3757] lr: 1.000e-02 eta: 1 day, 1:17:12 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 5.4888 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0727 loss: 2.0727 2022/06/27 19:32:43 - mmengine - INFO - Epoch(train) [9][2080/3757] lr: 1.000e-02 eta: 1 day, 1:16:53 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 5.5148 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4783 loss: 2.4783 2022/06/27 19:32:48 - mmengine - INFO - Epoch(train) [9][2100/3757] lr: 1.000e-02 eta: 1 day, 1:16:50 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 5.7296 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4852 loss: 2.4852 2022/06/27 19:32:54 - mmengine - INFO - Epoch(train) [9][2120/3757] lr: 1.000e-02 eta: 1 day, 1:16:48 time: 0.282 data_time: 0.006 memory: 5148 grad_norm: 5.6870 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8192 loss: 2.8192 2022/06/27 19:32:58 - mmengine - INFO - Epoch(train) [9][2140/3757] lr: 1.000e-02 eta: 1 day, 1:16:36 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.8598 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0242 loss: 2.0242 2022/06/27 19:33:04 - mmengine - INFO - Epoch(train) [9][2160/3757] lr: 1.000e-02 eta: 1 day, 1:16:36 time: 0.198 data_time: 0.013 memory: 5148 grad_norm: 5.7419 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4937 loss: 2.4937 2022/06/27 19:33:10 - mmengine - INFO - Epoch(train) [9][2180/3757] lr: 1.000e-02 eta: 1 day, 1:16:34 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 5.4939 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4595 loss: 2.4595 2022/06/27 19:33:15 - mmengine - INFO - Epoch(train) [9][2200/3757] lr: 1.000e-02 eta: 1 day, 1:16:30 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.8491 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5933 loss: 2.5933 2022/06/27 19:33:20 - mmengine - INFO - Epoch(train) [9][2220/3757] lr: 1.000e-02 eta: 1 day, 1:16:22 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 5.0017 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.7529 loss: 2.7529 2022/06/27 19:33:26 - mmengine - INFO - Epoch(train) [9][2240/3757] lr: 1.000e-02 eta: 1 day, 1:16:19 time: 0.193 data_time: 0.006 memory: 5148 grad_norm: 5.9144 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6787 loss: 2.6787 2022/06/27 19:33:31 - mmengine - INFO - Epoch(train) [9][2260/3757] lr: 1.000e-02 eta: 1 day, 1:16:10 time: 0.195 data_time: 0.006 memory: 5148 grad_norm: 5.8747 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4473 loss: 2.4473 2022/06/27 19:33:36 - mmengine - INFO - Epoch(train) [9][2280/3757] lr: 1.000e-02 eta: 1 day, 1:16:07 time: 0.188 data_time: 0.008 memory: 5148 grad_norm: 5.9534 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3730 loss: 2.3730 2022/06/27 19:33:42 - mmengine - INFO - Epoch(train) [9][2300/3757] lr: 1.000e-02 eta: 1 day, 1:16:04 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 5.5174 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2850 loss: 2.2850 2022/06/27 19:33:47 - mmengine - INFO - Epoch(train) [9][2320/3757] lr: 1.000e-02 eta: 1 day, 1:15:55 time: 0.247 data_time: 0.007 memory: 5148 grad_norm: 5.8681 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1071 loss: 2.1071 2022/06/27 19:33:51 - mmengine - INFO - Epoch(train) [9][2340/3757] lr: 1.000e-02 eta: 1 day, 1:15:43 time: 0.190 data_time: 0.010 memory: 5148 grad_norm: 5.4816 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.8533 loss: 1.8533 2022/06/27 19:33:57 - mmengine - INFO - Epoch(train) [9][2360/3757] lr: 1.000e-02 eta: 1 day, 1:15:41 time: 0.205 data_time: 0.009 memory: 5148 grad_norm: 6.1931 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.7237 loss: 2.7237 2022/06/27 19:34:01 - mmengine - INFO - Epoch(train) [9][2380/3757] lr: 1.000e-02 eta: 1 day, 1:15:27 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 5.4413 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4544 loss: 2.4544 2022/06/27 19:34:07 - mmengine - INFO - Epoch(train) [9][2400/3757] lr: 1.000e-02 eta: 1 day, 1:15:21 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.6338 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6408 loss: 2.6408 2022/06/27 19:34:12 - mmengine - INFO - Epoch(train) [9][2420/3757] lr: 1.000e-02 eta: 1 day, 1:15:18 time: 0.204 data_time: 0.021 memory: 5148 grad_norm: 5.4832 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2132 loss: 2.2132 2022/06/27 19:34:17 - mmengine - INFO - Epoch(train) [9][2440/3757] lr: 1.000e-02 eta: 1 day, 1:15:11 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 4.9929 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4190 loss: 2.4190 2022/06/27 19:34:23 - mmengine - INFO - Epoch(train) [9][2460/3757] lr: 1.000e-02 eta: 1 day, 1:15:05 time: 0.190 data_time: 0.007 memory: 5148 grad_norm: 6.1788 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5222 loss: 2.5222 2022/06/27 19:34:28 - mmengine - INFO - Epoch(train) [9][2480/3757] lr: 1.000e-02 eta: 1 day, 1:15:01 time: 0.215 data_time: 0.028 memory: 5148 grad_norm: 5.1076 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6381 loss: 2.6381 2022/06/27 19:34:33 - mmengine - INFO - Epoch(train) [9][2500/3757] lr: 1.000e-02 eta: 1 day, 1:14:55 time: 0.211 data_time: 0.006 memory: 5148 grad_norm: 5.4144 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9747 loss: 1.9747 2022/06/27 19:34:38 - mmengine - INFO - Epoch(train) [9][2520/3757] lr: 1.000e-02 eta: 1 day, 1:14:49 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 5.5428 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7564 loss: 2.7564 2022/06/27 19:34:44 - mmengine - INFO - Epoch(train) [9][2540/3757] lr: 1.000e-02 eta: 1 day, 1:14:51 time: 0.198 data_time: 0.023 memory: 5148 grad_norm: 5.7151 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1724 loss: 2.1724 2022/06/27 19:34:50 - mmengine - INFO - Epoch(train) [9][2560/3757] lr: 1.000e-02 eta: 1 day, 1:14:50 time: 0.218 data_time: 0.007 memory: 5148 grad_norm: 5.2590 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4227 loss: 2.4227 2022/06/27 19:34:55 - mmengine - INFO - Epoch(train) [9][2580/3757] lr: 1.000e-02 eta: 1 day, 1:14:34 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 4.7041 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4158 loss: 2.4158 2022/06/27 19:34:59 - mmengine - INFO - Epoch(train) [9][2600/3757] lr: 1.000e-02 eta: 1 day, 1:14:22 time: 0.217 data_time: 0.035 memory: 5148 grad_norm: 4.8352 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3138 loss: 2.3138 2022/06/27 19:35:05 - mmengine - INFO - Epoch(train) [9][2620/3757] lr: 1.000e-02 eta: 1 day, 1:14:20 time: 0.197 data_time: 0.015 memory: 5148 grad_norm: 4.9885 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3355 loss: 2.3355 2022/06/27 19:35:10 - mmengine - INFO - Epoch(train) [9][2640/3757] lr: 1.000e-02 eta: 1 day, 1:14:14 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.2943 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2889 loss: 2.2889 2022/06/27 19:35:15 - mmengine - INFO - Epoch(train) [9][2660/3757] lr: 1.000e-02 eta: 1 day, 1:14:07 time: 0.197 data_time: 0.024 memory: 5148 grad_norm: 5.8378 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1366 loss: 2.1366 2022/06/27 19:35:21 - mmengine - INFO - Epoch(train) [9][2680/3757] lr: 1.000e-02 eta: 1 day, 1:14:08 time: 0.193 data_time: 0.019 memory: 5148 grad_norm: 5.9191 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0100 loss: 3.0100 2022/06/27 19:35:27 - mmengine - INFO - Epoch(train) [9][2700/3757] lr: 1.000e-02 eta: 1 day, 1:14:06 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 6.4345 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5829 loss: 2.5829 2022/06/27 19:35:32 - mmengine - INFO - Epoch(train) [9][2720/3757] lr: 1.000e-02 eta: 1 day, 1:13:59 time: 0.199 data_time: 0.020 memory: 5148 grad_norm: 5.7045 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2698 loss: 2.2698 2022/06/27 19:35:37 - mmengine - INFO - Epoch(train) [9][2740/3757] lr: 1.000e-02 eta: 1 day, 1:13:54 time: 0.203 data_time: 0.018 memory: 5148 grad_norm: 5.5922 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 2.5557 loss: 2.5557 2022/06/27 19:35:42 - mmengine - INFO - Epoch(train) [9][2760/3757] lr: 1.000e-02 eta: 1 day, 1:13:45 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 5.0616 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3163 loss: 2.3163 2022/06/27 19:35:47 - mmengine - INFO - Epoch(train) [9][2780/3757] lr: 1.000e-02 eta: 1 day, 1:13:37 time: 0.191 data_time: 0.016 memory: 5148 grad_norm: 5.2142 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0868 loss: 2.0868 2022/06/27 19:35:53 - mmengine - INFO - Epoch(train) [9][2800/3757] lr: 1.000e-02 eta: 1 day, 1:13:35 time: 0.199 data_time: 0.019 memory: 5148 grad_norm: 5.9513 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4476 loss: 2.4476 2022/06/27 19:35:58 - mmengine - INFO - Epoch(train) [9][2820/3757] lr: 1.000e-02 eta: 1 day, 1:13:34 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 5.2561 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1918 loss: 2.1918 2022/06/27 19:36:03 - mmengine - INFO - Epoch(train) [9][2840/3757] lr: 1.000e-02 eta: 1 day, 1:13:23 time: 0.193 data_time: 0.012 memory: 5148 grad_norm: 5.4998 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4000 loss: 2.4000 2022/06/27 19:36:09 - mmengine - INFO - Epoch(train) [9][2860/3757] lr: 1.000e-02 eta: 1 day, 1:13:26 time: 0.219 data_time: 0.010 memory: 5148 grad_norm: 6.4043 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7681 loss: 2.7681 2022/06/27 19:36:14 - mmengine - INFO - Epoch(train) [9][2880/3757] lr: 1.000e-02 eta: 1 day, 1:13:15 time: 0.207 data_time: 0.020 memory: 5148 grad_norm: 4.8583 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.5670 loss: 2.5670 2022/06/27 19:36:19 - mmengine - INFO - Epoch(train) [9][2900/3757] lr: 1.000e-02 eta: 1 day, 1:13:08 time: 0.195 data_time: 0.014 memory: 5148 grad_norm: 5.9244 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3839 loss: 2.3839 2022/06/27 19:36:25 - mmengine - INFO - Epoch(train) [9][2920/3757] lr: 1.000e-02 eta: 1 day, 1:13:04 time: 0.214 data_time: 0.022 memory: 5148 grad_norm: 5.2848 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9328 loss: 2.9328 2022/06/27 19:36:29 - mmengine - INFO - Epoch(train) [9][2940/3757] lr: 1.000e-02 eta: 1 day, 1:12:52 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.0840 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5706 loss: 2.5706 2022/06/27 19:36:31 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 19:36:35 - mmengine - INFO - Epoch(train) [9][2960/3757] lr: 1.000e-02 eta: 1 day, 1:12:49 time: 0.203 data_time: 0.019 memory: 5148 grad_norm: 5.9132 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3616 loss: 2.3616 2022/06/27 19:36:40 - mmengine - INFO - Epoch(train) [9][2980/3757] lr: 1.000e-02 eta: 1 day, 1:12:42 time: 0.215 data_time: 0.010 memory: 5148 grad_norm: 6.1433 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7710 loss: 2.7710 2022/06/27 19:36:45 - mmengine - INFO - Epoch(train) [9][3000/3757] lr: 1.000e-02 eta: 1 day, 1:12:33 time: 0.214 data_time: 0.006 memory: 5148 grad_norm: 6.3067 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5409 loss: 2.5409 2022/06/27 19:36:50 - mmengine - INFO - Epoch(train) [9][3020/3757] lr: 1.000e-02 eta: 1 day, 1:12:30 time: 0.209 data_time: 0.019 memory: 5148 grad_norm: 5.4174 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2269 loss: 2.2269 2022/06/27 19:36:56 - mmengine - INFO - Epoch(train) [9][3040/3757] lr: 1.000e-02 eta: 1 day, 1:12:26 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 5.0928 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5247 loss: 2.5247 2022/06/27 19:37:01 - mmengine - INFO - Epoch(train) [9][3060/3757] lr: 1.000e-02 eta: 1 day, 1:12:16 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.9103 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6154 loss: 2.6154 2022/06/27 19:37:06 - mmengine - INFO - Epoch(train) [9][3080/3757] lr: 1.000e-02 eta: 1 day, 1:12:16 time: 0.208 data_time: 0.029 memory: 5148 grad_norm: 6.0357 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3661 loss: 2.3661 2022/06/27 19:37:12 - mmengine - INFO - Epoch(train) [9][3100/3757] lr: 1.000e-02 eta: 1 day, 1:12:13 time: 0.191 data_time: 0.010 memory: 5148 grad_norm: 6.0042 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6496 loss: 2.6496 2022/06/27 19:37:17 - mmengine - INFO - Epoch(train) [9][3120/3757] lr: 1.000e-02 eta: 1 day, 1:12:03 time: 0.194 data_time: 0.014 memory: 5148 grad_norm: 5.3047 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1855 loss: 3.1855 2022/06/27 19:37:22 - mmengine - INFO - Epoch(train) [9][3140/3757] lr: 1.000e-02 eta: 1 day, 1:11:56 time: 0.202 data_time: 0.018 memory: 5148 grad_norm: 6.0853 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1729 loss: 2.1729 2022/06/27 19:37:28 - mmengine - INFO - Epoch(train) [9][3160/3757] lr: 1.000e-02 eta: 1 day, 1:11:57 time: 0.200 data_time: 0.017 memory: 5148 grad_norm: 5.1654 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6415 loss: 2.6415 2022/06/27 19:37:33 - mmengine - INFO - Epoch(train) [9][3180/3757] lr: 1.000e-02 eta: 1 day, 1:11:46 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 6.0842 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4457 loss: 2.4457 2022/06/27 19:37:38 - mmengine - INFO - Epoch(train) [9][3200/3757] lr: 1.000e-02 eta: 1 day, 1:11:37 time: 0.197 data_time: 0.021 memory: 5148 grad_norm: 5.6443 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4596 loss: 2.4596 2022/06/27 19:37:43 - mmengine - INFO - Epoch(train) [9][3220/3757] lr: 1.000e-02 eta: 1 day, 1:11:33 time: 0.218 data_time: 0.010 memory: 5148 grad_norm: 5.1579 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3163 loss: 2.3163 2022/06/27 19:37:48 - mmengine - INFO - Epoch(train) [9][3240/3757] lr: 1.000e-02 eta: 1 day, 1:11:26 time: 0.194 data_time: 0.006 memory: 5148 grad_norm: 5.2941 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5544 loss: 2.5544 2022/06/27 19:37:54 - mmengine - INFO - Epoch(train) [9][3260/3757] lr: 1.000e-02 eta: 1 day, 1:11:23 time: 0.200 data_time: 0.021 memory: 5148 grad_norm: 4.7464 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.4126 loss: 2.4126 2022/06/27 19:37:59 - mmengine - INFO - Epoch(train) [9][3280/3757] lr: 1.000e-02 eta: 1 day, 1:11:21 time: 0.202 data_time: 0.012 memory: 5148 grad_norm: 4.6956 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1019 loss: 2.1019 2022/06/27 19:38:04 - mmengine - INFO - Epoch(train) [9][3300/3757] lr: 1.000e-02 eta: 1 day, 1:11:11 time: 0.206 data_time: 0.005 memory: 5148 grad_norm: 5.1823 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6687 loss: 2.6687 2022/06/27 19:38:10 - mmengine - INFO - Epoch(train) [9][3320/3757] lr: 1.000e-02 eta: 1 day, 1:11:10 time: 0.207 data_time: 0.022 memory: 5148 grad_norm: 4.8432 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8191 loss: 2.8191 2022/06/27 19:38:15 - mmengine - INFO - Epoch(train) [9][3340/3757] lr: 1.000e-02 eta: 1 day, 1:11:05 time: 0.202 data_time: 0.021 memory: 5148 grad_norm: 5.5410 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7484 loss: 2.7484 2022/06/27 19:38:20 - mmengine - INFO - Epoch(train) [9][3360/3757] lr: 1.000e-02 eta: 1 day, 1:10:53 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.7355 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5692 loss: 2.5692 2022/06/27 19:38:25 - mmengine - INFO - Epoch(train) [9][3380/3757] lr: 1.000e-02 eta: 1 day, 1:10:45 time: 0.218 data_time: 0.030 memory: 5148 grad_norm: 5.0906 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6445 loss: 2.6445 2022/06/27 19:38:30 - mmengine - INFO - Epoch(train) [9][3400/3757] lr: 1.000e-02 eta: 1 day, 1:10:43 time: 0.195 data_time: 0.018 memory: 5148 grad_norm: 5.5685 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4020 loss: 2.4020 2022/06/27 19:38:36 - mmengine - INFO - Epoch(train) [9][3420/3757] lr: 1.000e-02 eta: 1 day, 1:10:36 time: 0.209 data_time: 0.006 memory: 5148 grad_norm: 5.6701 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8340 loss: 2.8340 2022/06/27 19:38:40 - mmengine - INFO - Epoch(train) [9][3440/3757] lr: 1.000e-02 eta: 1 day, 1:10:21 time: 0.200 data_time: 0.022 memory: 5148 grad_norm: 6.2121 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4799 loss: 2.4799 2022/06/27 19:38:46 - mmengine - INFO - Epoch(train) [9][3460/3757] lr: 1.000e-02 eta: 1 day, 1:10:19 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 5.8005 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9470 loss: 1.9470 2022/06/27 19:38:50 - mmengine - INFO - Epoch(train) [9][3480/3757] lr: 1.000e-02 eta: 1 day, 1:10:08 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.2596 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0186 loss: 2.0186 2022/06/27 19:38:56 - mmengine - INFO - Epoch(train) [9][3500/3757] lr: 1.000e-02 eta: 1 day, 1:10:10 time: 0.201 data_time: 0.015 memory: 5148 grad_norm: 5.1759 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3861 loss: 2.3861 2022/06/27 19:39:02 - mmengine - INFO - Epoch(train) [9][3520/3757] lr: 1.000e-02 eta: 1 day, 1:10:08 time: 0.219 data_time: 0.009 memory: 5148 grad_norm: 5.6165 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2154 loss: 2.2154 2022/06/27 19:39:06 - mmengine - INFO - Epoch(train) [9][3540/3757] lr: 1.000e-02 eta: 1 day, 1:09:55 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 6.1572 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.8924 loss: 1.8924 2022/06/27 19:39:12 - mmengine - INFO - Epoch(train) [9][3560/3757] lr: 1.000e-02 eta: 1 day, 1:09:52 time: 0.203 data_time: 0.031 memory: 5148 grad_norm: 5.3286 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3818 loss: 2.3818 2022/06/27 19:39:18 - mmengine - INFO - Epoch(train) [9][3580/3757] lr: 1.000e-02 eta: 1 day, 1:09:50 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 5.7585 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3612 loss: 2.3612 2022/06/27 19:39:22 - mmengine - INFO - Epoch(train) [9][3600/3757] lr: 1.000e-02 eta: 1 day, 1:09:36 time: 0.198 data_time: 0.009 memory: 5148 grad_norm: 5.4860 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6750 loss: 2.6750 2022/06/27 19:39:28 - mmengine - INFO - Epoch(train) [9][3620/3757] lr: 1.000e-02 eta: 1 day, 1:09:33 time: 0.192 data_time: 0.014 memory: 5148 grad_norm: 6.2545 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5744 loss: 2.5744 2022/06/27 19:39:33 - mmengine - INFO - Epoch(train) [9][3640/3757] lr: 1.000e-02 eta: 1 day, 1:09:29 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.4130 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9221 loss: 2.9221 2022/06/27 19:39:38 - mmengine - INFO - Epoch(train) [9][3660/3757] lr: 1.000e-02 eta: 1 day, 1:09:18 time: 0.205 data_time: 0.009 memory: 5148 grad_norm: 5.4670 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 2.9085 loss: 2.9085 2022/06/27 19:39:43 - mmengine - INFO - Epoch(train) [9][3680/3757] lr: 1.000e-02 eta: 1 day, 1:09:13 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 5.3459 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9696 loss: 1.9696 2022/06/27 19:39:49 - mmengine - INFO - Epoch(train) [9][3700/3757] lr: 1.000e-02 eta: 1 day, 1:09:12 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.5973 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7200 loss: 2.7200 2022/06/27 19:39:54 - mmengine - INFO - Epoch(train) [9][3720/3757] lr: 1.000e-02 eta: 1 day, 1:09:01 time: 0.210 data_time: 0.009 memory: 5148 grad_norm: 5.8606 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2739 loss: 2.2739 2022/06/27 19:39:59 - mmengine - INFO - Epoch(train) [9][3740/3757] lr: 1.000e-02 eta: 1 day, 1:09:00 time: 0.193 data_time: 0.012 memory: 5148 grad_norm: 5.3946 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4741 loss: 2.4741 2022/06/27 19:40:02 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 19:40:09 - mmengine - INFO - Epoch(val) [9][20/310] eta: 0:01:07 time: 0.079 data_time: 0.008 memory: 5148 2022/06/27 19:40:14 - mmengine - INFO - Epoch(val) [9][40/310] eta: 0:01:02 time: 0.077 data_time: 0.005 memory: 1367 2022/06/27 19:40:19 - mmengine - INFO - Epoch(val) [9][60/310] eta: 0:00:50 time: 0.085 data_time: 0.009 memory: 1367 2022/06/27 19:40:24 - mmengine - INFO - Epoch(val) [9][80/310] eta: 0:00:57 time: 0.080 data_time: 0.009 memory: 1367 2022/06/27 19:40:30 - mmengine - INFO - Epoch(val) [9][100/310] eta: 0:00:48 time: 0.082 data_time: 0.005 memory: 1367 2022/06/27 19:40:34 - mmengine - INFO - Epoch(val) [9][120/310] eta: 0:00:48 time: 0.234 data_time: 0.158 memory: 1367 2022/06/27 19:40:40 - mmengine - INFO - Epoch(val) [9][140/310] eta: 0:00:47 time: 0.329 data_time: 0.242 memory: 1367 2022/06/27 19:40:45 - mmengine - INFO - Epoch(val) [9][160/310] eta: 0:00:39 time: 0.476 data_time: 0.396 memory: 1367 2022/06/27 19:40:51 - mmengine - INFO - Epoch(val) [9][180/310] eta: 0:00:41 time: 0.576 data_time: 0.499 memory: 1367 2022/06/27 19:40:56 - mmengine - INFO - Epoch(val) [9][200/310] eta: 0:00:25 time: 0.085 data_time: 0.008 memory: 1367 2022/06/27 19:41:02 - mmengine - INFO - Epoch(val) [9][220/310] eta: 0:00:30 time: 0.092 data_time: 0.006 memory: 1367 2022/06/27 19:41:06 - mmengine - INFO - Epoch(val) [9][240/310] eta: 0:00:15 time: 0.076 data_time: 0.005 memory: 1367 2022/06/27 19:41:12 - mmengine - INFO - Epoch(val) [9][260/310] eta: 0:00:18 time: 0.082 data_time: 0.005 memory: 1367 2022/06/27 19:41:17 - mmengine - INFO - Epoch(val) [9][280/310] eta: 0:00:06 time: 0.076 data_time: 0.005 memory: 1367 2022/06/27 19:41:23 - mmengine - INFO - Epoch(val) [9][300/310] eta: 0:00:03 time: 0.081 data_time: 0.005 memory: 1367 2022/06/27 19:41:26 - mmengine - INFO - Epoch(val) [9][310/310] acc/top1: 0.4799 acc/top5: 0.7464 acc/mean1: 0.4797 2022/06/27 19:41:34 - mmengine - INFO - Epoch(train) [10][20/3757] lr: 1.000e-02 eta: 1 day, 1:08:56 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 5.6489 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3450 loss: 2.3450 2022/06/27 19:41:40 - mmengine - INFO - Epoch(train) [10][40/3757] lr: 1.000e-02 eta: 1 day, 1:08:55 time: 0.199 data_time: 0.009 memory: 5148 grad_norm: 6.0221 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5208 loss: 2.5208 2022/06/27 19:41:45 - mmengine - INFO - Epoch(train) [10][60/3757] lr: 1.000e-02 eta: 1 day, 1:08:45 time: 0.188 data_time: 0.010 memory: 5148 grad_norm: 5.3186 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3656 loss: 2.3656 2022/06/27 19:41:50 - mmengine - INFO - Epoch(train) [10][80/3757] lr: 1.000e-02 eta: 1 day, 1:08:43 time: 0.194 data_time: 0.006 memory: 5148 grad_norm: 5.4918 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4235 loss: 2.4235 2022/06/27 19:41:56 - mmengine - INFO - Epoch(train) [10][100/3757] lr: 1.000e-02 eta: 1 day, 1:08:38 time: 0.189 data_time: 0.007 memory: 5148 grad_norm: 5.6850 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4463 loss: 2.4463 2022/06/27 19:42:01 - mmengine - INFO - Epoch(train) [10][120/3757] lr: 1.000e-02 eta: 1 day, 1:08:29 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 6.0772 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2741 loss: 2.2741 2022/06/27 19:42:06 - mmengine - INFO - Epoch(train) [10][140/3757] lr: 1.000e-02 eta: 1 day, 1:08:27 time: 0.192 data_time: 0.006 memory: 5148 grad_norm: 5.0602 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2525 loss: 2.2525 2022/06/27 19:42:12 - mmengine - INFO - Epoch(train) [10][160/3757] lr: 1.000e-02 eta: 1 day, 1:08:27 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.6899 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5894 loss: 2.5894 2022/06/27 19:42:17 - mmengine - INFO - Epoch(train) [10][180/3757] lr: 1.000e-02 eta: 1 day, 1:08:22 time: 0.190 data_time: 0.007 memory: 5148 grad_norm: 6.0050 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5316 loss: 2.5316 2022/06/27 19:42:19 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 19:42:22 - mmengine - INFO - Epoch(train) [10][200/3757] lr: 1.000e-02 eta: 1 day, 1:08:12 time: 0.190 data_time: 0.009 memory: 5148 grad_norm: 5.7080 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4882 loss: 2.4882 2022/06/27 19:42:27 - mmengine - INFO - Epoch(train) [10][220/3757] lr: 1.000e-02 eta: 1 day, 1:08:06 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 5.9061 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6790 loss: 2.6790 2022/06/27 19:42:32 - mmengine - INFO - Epoch(train) [10][240/3757] lr: 1.000e-02 eta: 1 day, 1:07:55 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 5.4061 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4502 loss: 2.4502 2022/06/27 19:42:38 - mmengine - INFO - Epoch(train) [10][260/3757] lr: 1.000e-02 eta: 1 day, 1:07:55 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.3420 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5745 loss: 2.5745 2022/06/27 19:42:44 - mmengine - INFO - Epoch(train) [10][280/3757] lr: 1.000e-02 eta: 1 day, 1:08:00 time: 0.294 data_time: 0.007 memory: 5148 grad_norm: 5.6200 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2361 loss: 2.2361 2022/06/27 19:42:49 - mmengine - INFO - Epoch(train) [10][300/3757] lr: 1.000e-02 eta: 1 day, 1:07:50 time: 0.226 data_time: 0.007 memory: 5148 grad_norm: 5.4887 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8422 loss: 2.8422 2022/06/27 19:42:54 - mmengine - INFO - Epoch(train) [10][320/3757] lr: 1.000e-02 eta: 1 day, 1:07:45 time: 0.280 data_time: 0.074 memory: 5148 grad_norm: 6.5821 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4072 loss: 2.4072 2022/06/27 19:43:00 - mmengine - INFO - Epoch(train) [10][340/3757] lr: 1.000e-02 eta: 1 day, 1:07:38 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 5.0636 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6391 loss: 2.6391 2022/06/27 19:43:04 - mmengine - INFO - Epoch(train) [10][360/3757] lr: 1.000e-02 eta: 1 day, 1:07:24 time: 0.197 data_time: 0.014 memory: 5148 grad_norm: 6.0093 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9849 loss: 1.9849 2022/06/27 19:43:10 - mmengine - INFO - Epoch(train) [10][380/3757] lr: 1.000e-02 eta: 1 day, 1:07:24 time: 0.198 data_time: 0.025 memory: 5148 grad_norm: 5.2253 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6963 loss: 2.6963 2022/06/27 19:43:15 - mmengine - INFO - Epoch(train) [10][400/3757] lr: 1.000e-02 eta: 1 day, 1:07:19 time: 0.209 data_time: 0.006 memory: 5148 grad_norm: 5.8367 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2263 loss: 2.2263 2022/06/27 19:43:20 - mmengine - INFO - Epoch(train) [10][420/3757] lr: 1.000e-02 eta: 1 day, 1:07:08 time: 0.193 data_time: 0.006 memory: 5148 grad_norm: 4.7191 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5565 loss: 2.5565 2022/06/27 19:43:26 - mmengine - INFO - Epoch(train) [10][440/3757] lr: 1.000e-02 eta: 1 day, 1:07:15 time: 0.194 data_time: 0.017 memory: 5148 grad_norm: 5.7909 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4803 loss: 2.4803 2022/06/27 19:43:32 - mmengine - INFO - Epoch(train) [10][460/3757] lr: 1.000e-02 eta: 1 day, 1:07:08 time: 0.211 data_time: 0.005 memory: 5148 grad_norm: 5.2960 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.5367 loss: 2.5367 2022/06/27 19:43:36 - mmengine - INFO - Epoch(train) [10][480/3757] lr: 1.000e-02 eta: 1 day, 1:06:56 time: 0.200 data_time: 0.009 memory: 5148 grad_norm: 5.2220 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4198 loss: 2.4198 2022/06/27 19:43:42 - mmengine - INFO - Epoch(train) [10][500/3757] lr: 1.000e-02 eta: 1 day, 1:06:51 time: 0.201 data_time: 0.023 memory: 5148 grad_norm: 5.1837 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3845 loss: 2.3845 2022/06/27 19:43:47 - mmengine - INFO - Epoch(train) [10][520/3757] lr: 1.000e-02 eta: 1 day, 1:06:49 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 5.6017 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1690 loss: 2.1690 2022/06/27 19:43:52 - mmengine - INFO - Epoch(train) [10][540/3757] lr: 1.000e-02 eta: 1 day, 1:06:38 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 5.2343 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2399 loss: 2.2399 2022/06/27 19:43:58 - mmengine - INFO - Epoch(train) [10][560/3757] lr: 1.000e-02 eta: 1 day, 1:06:37 time: 0.192 data_time: 0.012 memory: 5148 grad_norm: 5.8158 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.3702 loss: 2.3702 2022/06/27 19:44:03 - mmengine - INFO - Epoch(train) [10][580/3757] lr: 1.000e-02 eta: 1 day, 1:06:33 time: 0.211 data_time: 0.006 memory: 5148 grad_norm: 5.2446 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.1593 loss: 2.1593 2022/06/27 19:44:08 - mmengine - INFO - Epoch(train) [10][600/3757] lr: 1.000e-02 eta: 1 day, 1:06:25 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 4.6488 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6317 loss: 2.6317 2022/06/27 19:44:14 - mmengine - INFO - Epoch(train) [10][620/3757] lr: 1.000e-02 eta: 1 day, 1:06:21 time: 0.200 data_time: 0.017 memory: 5148 grad_norm: 4.7315 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2399 loss: 2.2399 2022/06/27 19:44:19 - mmengine - INFO - Epoch(train) [10][640/3757] lr: 1.000e-02 eta: 1 day, 1:06:18 time: 0.433 data_time: 0.006 memory: 5148 grad_norm: 5.9929 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2676 loss: 2.2676 2022/06/27 19:44:24 - mmengine - INFO - Epoch(train) [10][660/3757] lr: 1.000e-02 eta: 1 day, 1:06:06 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.3416 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3878 loss: 2.3878 2022/06/27 19:44:29 - mmengine - INFO - Epoch(train) [10][680/3757] lr: 1.000e-02 eta: 1 day, 1:06:04 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 4.9604 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6485 loss: 2.6485 2022/06/27 19:44:35 - mmengine - INFO - Epoch(train) [10][700/3757] lr: 1.000e-02 eta: 1 day, 1:06:04 time: 0.899 data_time: 0.010 memory: 5148 grad_norm: 5.7583 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8366 loss: 2.8366 2022/06/27 19:44:40 - mmengine - INFO - Epoch(train) [10][720/3757] lr: 1.000e-02 eta: 1 day, 1:05:52 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 5.4567 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1730 loss: 2.1730 2022/06/27 19:44:46 - mmengine - INFO - Epoch(train) [10][740/3757] lr: 1.000e-02 eta: 1 day, 1:05:53 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 6.2473 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.5577 loss: 2.5577 2022/06/27 19:44:52 - mmengine - INFO - Epoch(train) [10][760/3757] lr: 1.000e-02 eta: 1 day, 1:05:54 time: 1.057 data_time: 0.005 memory: 5148 grad_norm: 5.2426 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2162 loss: 2.2162 2022/06/27 19:44:57 - mmengine - INFO - Epoch(train) [10][780/3757] lr: 1.000e-02 eta: 1 day, 1:05:45 time: 0.190 data_time: 0.007 memory: 5148 grad_norm: 5.4482 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6213 loss: 2.6213 2022/06/27 19:45:02 - mmengine - INFO - Epoch(train) [10][800/3757] lr: 1.000e-02 eta: 1 day, 1:05:37 time: 0.206 data_time: 0.012 memory: 5148 grad_norm: 5.4586 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0887 loss: 2.0887 2022/06/27 19:45:07 - mmengine - INFO - Epoch(train) [10][820/3757] lr: 1.000e-02 eta: 1 day, 1:05:35 time: 0.870 data_time: 0.007 memory: 5148 grad_norm: 5.7288 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4308 loss: 2.4308 2022/06/27 19:45:12 - mmengine - INFO - Epoch(train) [10][840/3757] lr: 1.000e-02 eta: 1 day, 1:05:25 time: 0.196 data_time: 0.009 memory: 5148 grad_norm: 5.3422 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5357 loss: 2.5357 2022/06/27 19:45:18 - mmengine - INFO - Epoch(train) [10][860/3757] lr: 1.000e-02 eta: 1 day, 1:05:23 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 4.4637 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8311 loss: 2.8311 2022/06/27 19:45:23 - mmengine - INFO - Epoch(train) [10][880/3757] lr: 1.000e-02 eta: 1 day, 1:05:20 time: 0.972 data_time: 0.007 memory: 5148 grad_norm: 5.0668 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3966 loss: 2.3966 2022/06/27 19:45:28 - mmengine - INFO - Epoch(train) [10][900/3757] lr: 1.000e-02 eta: 1 day, 1:05:12 time: 0.195 data_time: 0.013 memory: 5148 grad_norm: 6.1648 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6503 loss: 2.6503 2022/06/27 19:45:34 - mmengine - INFO - Epoch(train) [10][920/3757] lr: 1.000e-02 eta: 1 day, 1:05:11 time: 0.365 data_time: 0.009 memory: 5148 grad_norm: 5.7138 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7045 loss: 2.7045 2022/06/27 19:45:39 - mmengine - INFO - Epoch(train) [10][940/3757] lr: 1.000e-02 eta: 1 day, 1:05:06 time: 1.038 data_time: 0.008 memory: 5148 grad_norm: 5.1253 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4494 loss: 2.4494 2022/06/27 19:45:44 - mmengine - INFO - Epoch(train) [10][960/3757] lr: 1.000e-02 eta: 1 day, 1:04:57 time: 0.192 data_time: 0.006 memory: 5148 grad_norm: 5.6705 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8122 loss: 2.8122 2022/06/27 19:45:50 - mmengine - INFO - Epoch(train) [10][980/3757] lr: 1.000e-02 eta: 1 day, 1:04:53 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.9635 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4155 loss: 2.4155 2022/06/27 19:45:56 - mmengine - INFO - Epoch(train) [10][1000/3757] lr: 1.000e-02 eta: 1 day, 1:04:56 time: 1.519 data_time: 0.010 memory: 5148 grad_norm: 5.3545 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0791 loss: 2.0791 2022/06/27 19:46:00 - mmengine - INFO - Epoch(train) [10][1020/3757] lr: 1.000e-02 eta: 1 day, 1:04:39 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 5.8059 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2213 loss: 2.2213 2022/06/27 19:46:05 - mmengine - INFO - Epoch(train) [10][1040/3757] lr: 1.000e-02 eta: 1 day, 1:04:36 time: 0.223 data_time: 0.007 memory: 5148 grad_norm: 6.3971 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4886 loss: 2.4886 2022/06/27 19:46:11 - mmengine - INFO - Epoch(train) [10][1060/3757] lr: 1.000e-02 eta: 1 day, 1:04:33 time: 0.663 data_time: 0.011 memory: 5148 grad_norm: 5.6081 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4301 loss: 2.4301 2022/06/27 19:46:17 - mmengine - INFO - Epoch(train) [10][1080/3757] lr: 1.000e-02 eta: 1 day, 1:04:30 time: 0.190 data_time: 0.015 memory: 5148 grad_norm: 5.4121 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.4066 loss: 2.4066 2022/06/27 19:46:22 - mmengine - INFO - Epoch(train) [10][1100/3757] lr: 1.000e-02 eta: 1 day, 1:04:26 time: 0.899 data_time: 0.007 memory: 5148 grad_norm: 5.2174 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6132 loss: 2.6132 2022/06/27 19:46:27 - mmengine - INFO - Epoch(train) [10][1120/3757] lr: 1.000e-02 eta: 1 day, 1:04:16 time: 0.419 data_time: 0.006 memory: 5148 grad_norm: 6.2160 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6020 loss: 2.6020 2022/06/27 19:46:32 - mmengine - INFO - Epoch(train) [10][1140/3757] lr: 1.000e-02 eta: 1 day, 1:04:09 time: 0.207 data_time: 0.032 memory: 5148 grad_norm: 5.1125 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1826 loss: 2.1826 2022/06/27 19:46:38 - mmengine - INFO - Epoch(train) [10][1160/3757] lr: 1.000e-02 eta: 1 day, 1:04:10 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 5.7254 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8811 loss: 2.8811 2022/06/27 19:46:43 - mmengine - INFO - Epoch(train) [10][1180/3757] lr: 1.000e-02 eta: 1 day, 1:04:07 time: 0.852 data_time: 0.006 memory: 5148 grad_norm: 5.0585 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.2647 loss: 2.2647 2022/06/27 19:46:45 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 19:46:48 - mmengine - INFO - Epoch(train) [10][1200/3757] lr: 1.000e-02 eta: 1 day, 1:03:58 time: 0.208 data_time: 0.026 memory: 5148 grad_norm: 5.9465 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0178 loss: 2.0178 2022/06/27 19:46:54 - mmengine - INFO - Epoch(train) [10][1220/3757] lr: 1.000e-02 eta: 1 day, 1:03:54 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 5.5012 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5603 loss: 2.5603 2022/06/27 19:46:59 - mmengine - INFO - Epoch(train) [10][1240/3757] lr: 1.000e-02 eta: 1 day, 1:03:51 time: 0.531 data_time: 0.006 memory: 5148 grad_norm: 5.8916 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7677 loss: 2.7677 2022/06/27 19:47:04 - mmengine - INFO - Epoch(train) [10][1260/3757] lr: 1.000e-02 eta: 1 day, 1:03:41 time: 0.202 data_time: 0.020 memory: 5148 grad_norm: 5.5200 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7131 loss: 2.7131 2022/06/27 19:47:09 - mmengine - INFO - Epoch(train) [10][1280/3757] lr: 1.000e-02 eta: 1 day, 1:03:35 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.5917 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7440 loss: 2.7440 2022/06/27 19:47:15 - mmengine - INFO - Epoch(train) [10][1300/3757] lr: 1.000e-02 eta: 1 day, 1:03:31 time: 0.692 data_time: 0.007 memory: 5148 grad_norm: 4.7649 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.4943 loss: 2.4943 2022/06/27 19:47:20 - mmengine - INFO - Epoch(train) [10][1320/3757] lr: 1.000e-02 eta: 1 day, 1:03:23 time: 0.194 data_time: 0.013 memory: 5148 grad_norm: 5.5598 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4752 loss: 2.4752 2022/06/27 19:47:25 - mmengine - INFO - Epoch(train) [10][1340/3757] lr: 1.000e-02 eta: 1 day, 1:03:19 time: 0.195 data_time: 0.006 memory: 5148 grad_norm: 5.7220 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2299 loss: 2.2299 2022/06/27 19:47:31 - mmengine - INFO - Epoch(train) [10][1360/3757] lr: 1.000e-02 eta: 1 day, 1:03:18 time: 0.834 data_time: 0.008 memory: 5148 grad_norm: 4.9471 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0904 loss: 2.0904 2022/06/27 19:47:36 - mmengine - INFO - Epoch(train) [10][1380/3757] lr: 1.000e-02 eta: 1 day, 1:03:13 time: 0.197 data_time: 0.013 memory: 5148 grad_norm: 5.7447 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6621 loss: 2.6621 2022/06/27 19:47:41 - mmengine - INFO - Epoch(train) [10][1400/3757] lr: 1.000e-02 eta: 1 day, 1:03:06 time: 0.268 data_time: 0.007 memory: 5148 grad_norm: 6.2431 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4566 loss: 2.4566 2022/06/27 19:47:47 - mmengine - INFO - Epoch(train) [10][1420/3757] lr: 1.000e-02 eta: 1 day, 1:03:00 time: 0.804 data_time: 0.007 memory: 5148 grad_norm: 5.2673 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5017 loss: 2.5017 2022/06/27 19:47:52 - mmengine - INFO - Epoch(train) [10][1440/3757] lr: 1.000e-02 eta: 1 day, 1:02:50 time: 0.200 data_time: 0.009 memory: 5148 grad_norm: 5.6897 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1774 loss: 2.1774 2022/06/27 19:47:58 - mmengine - INFO - Epoch(train) [10][1460/3757] lr: 1.000e-02 eta: 1 day, 1:02:52 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.3004 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3288 loss: 2.3288 2022/06/27 19:48:03 - mmengine - INFO - Epoch(train) [10][1480/3757] lr: 1.000e-02 eta: 1 day, 1:02:46 time: 0.547 data_time: 0.006 memory: 5148 grad_norm: 5.8641 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4532 loss: 2.4532 2022/06/27 19:48:08 - mmengine - INFO - Epoch(train) [10][1500/3757] lr: 1.000e-02 eta: 1 day, 1:02:37 time: 0.200 data_time: 0.009 memory: 5148 grad_norm: 4.9274 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8624 loss: 2.8624 2022/06/27 19:48:13 - mmengine - INFO - Epoch(train) [10][1520/3757] lr: 1.000e-02 eta: 1 day, 1:02:35 time: 0.192 data_time: 0.013 memory: 5148 grad_norm: 5.8461 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2464 loss: 2.2464 2022/06/27 19:48:19 - mmengine - INFO - Epoch(train) [10][1540/3757] lr: 1.000e-02 eta: 1 day, 1:02:33 time: 0.850 data_time: 0.010 memory: 5148 grad_norm: 5.2290 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4130 loss: 2.4130 2022/06/27 19:48:24 - mmengine - INFO - Epoch(train) [10][1560/3757] lr: 1.000e-02 eta: 1 day, 1:02:24 time: 0.205 data_time: 0.013 memory: 5148 grad_norm: 5.5469 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1619 loss: 2.1619 2022/06/27 19:48:29 - mmengine - INFO - Epoch(train) [10][1580/3757] lr: 1.000e-02 eta: 1 day, 1:02:21 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 6.0048 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1993 loss: 3.1993 2022/06/27 19:48:36 - mmengine - INFO - Epoch(train) [10][1600/3757] lr: 1.000e-02 eta: 1 day, 1:02:26 time: 1.792 data_time: 0.006 memory: 5148 grad_norm: 5.2853 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5773 loss: 2.5773 2022/06/27 19:48:40 - mmengine - INFO - Epoch(train) [10][1620/3757] lr: 1.000e-02 eta: 1 day, 1:02:10 time: 0.202 data_time: 0.012 memory: 5148 grad_norm: 5.5221 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6815 loss: 2.6815 2022/06/27 19:48:44 - mmengine - INFO - Epoch(train) [10][1640/3757] lr: 1.000e-02 eta: 1 day, 1:01:56 time: 0.190 data_time: 0.010 memory: 5148 grad_norm: 5.3921 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2527 loss: 2.2527 2022/06/27 19:48:50 - mmengine - INFO - Epoch(train) [10][1660/3757] lr: 1.000e-02 eta: 1 day, 1:01:52 time: 0.804 data_time: 0.006 memory: 5148 grad_norm: 5.6096 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5304 loss: 2.5304 2022/06/27 19:48:55 - mmengine - INFO - Epoch(train) [10][1680/3757] lr: 1.000e-02 eta: 1 day, 1:01:46 time: 0.362 data_time: 0.010 memory: 5148 grad_norm: 5.1182 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.5503 loss: 2.5503 2022/06/27 19:49:01 - mmengine - INFO - Epoch(train) [10][1700/3757] lr: 1.000e-02 eta: 1 day, 1:01:43 time: 0.192 data_time: 0.012 memory: 5148 grad_norm: 4.9923 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3137 loss: 2.3137 2022/06/27 19:49:06 - mmengine - INFO - Epoch(train) [10][1720/3757] lr: 1.000e-02 eta: 1 day, 1:01:36 time: 0.451 data_time: 0.014 memory: 5148 grad_norm: 5.4540 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3661 loss: 2.3661 2022/06/27 19:49:11 - mmengine - INFO - Epoch(train) [10][1740/3757] lr: 1.000e-02 eta: 1 day, 1:01:31 time: 0.210 data_time: 0.010 memory: 5148 grad_norm: 5.1650 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2875 loss: 2.2875 2022/06/27 19:49:16 - mmengine - INFO - Epoch(train) [10][1760/3757] lr: 1.000e-02 eta: 1 day, 1:01:26 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 5.6325 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5461 loss: 2.5461 2022/06/27 19:49:22 - mmengine - INFO - Epoch(train) [10][1780/3757] lr: 1.000e-02 eta: 1 day, 1:01:22 time: 0.578 data_time: 0.016 memory: 5148 grad_norm: 5.5110 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5348 loss: 2.5348 2022/06/27 19:49:27 - mmengine - INFO - Epoch(train) [10][1800/3757] lr: 1.000e-02 eta: 1 day, 1:01:15 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 4.9424 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0308 loss: 2.0308 2022/06/27 19:49:32 - mmengine - INFO - Epoch(train) [10][1820/3757] lr: 1.000e-02 eta: 1 day, 1:01:12 time: 0.196 data_time: 0.017 memory: 5148 grad_norm: 5.7152 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3089 loss: 2.3089 2022/06/27 19:49:37 - mmengine - INFO - Epoch(train) [10][1840/3757] lr: 1.000e-02 eta: 1 day, 1:01:03 time: 0.220 data_time: 0.006 memory: 5148 grad_norm: 6.1545 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3685 loss: 2.3685 2022/06/27 19:49:43 - mmengine - INFO - Epoch(train) [10][1860/3757] lr: 1.000e-02 eta: 1 day, 1:00:58 time: 0.194 data_time: 0.012 memory: 5148 grad_norm: 4.9210 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4044 loss: 2.4044 2022/06/27 19:49:48 - mmengine - INFO - Epoch(train) [10][1880/3757] lr: 1.000e-02 eta: 1 day, 1:00:49 time: 0.192 data_time: 0.010 memory: 5148 grad_norm: 5.3366 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7391 loss: 2.7391 2022/06/27 19:49:53 - mmengine - INFO - Epoch(train) [10][1900/3757] lr: 1.000e-02 eta: 1 day, 1:00:47 time: 0.222 data_time: 0.009 memory: 5148 grad_norm: 5.5609 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4470 loss: 2.4470 2022/06/27 19:49:59 - mmengine - INFO - Epoch(train) [10][1920/3757] lr: 1.000e-02 eta: 1 day, 1:00:48 time: 0.194 data_time: 0.016 memory: 5148 grad_norm: 5.5527 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2782 loss: 2.2782 2022/06/27 19:50:03 - mmengine - INFO - Epoch(train) [10][1940/3757] lr: 1.000e-02 eta: 1 day, 1:00:30 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 5.3755 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6162 loss: 2.6162 2022/06/27 19:50:07 - mmengine - INFO - Epoch(train) [10][1960/3757] lr: 1.000e-02 eta: 1 day, 1:00:15 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.0528 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5250 loss: 2.5250 2022/06/27 19:50:13 - mmengine - INFO - Epoch(train) [10][1980/3757] lr: 1.000e-02 eta: 1 day, 1:00:14 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.6994 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1099 loss: 2.1099 2022/06/27 19:50:19 - mmengine - INFO - Epoch(train) [10][2000/3757] lr: 1.000e-02 eta: 1 day, 1:00:10 time: 0.200 data_time: 0.016 memory: 5148 grad_norm: 5.5183 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1495 loss: 2.1495 2022/06/27 19:50:24 - mmengine - INFO - Epoch(train) [10][2020/3757] lr: 1.000e-02 eta: 1 day, 1:00:07 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.6868 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5689 loss: 2.5689 2022/06/27 19:50:29 - mmengine - INFO - Epoch(train) [10][2040/3757] lr: 1.000e-02 eta: 1 day, 1:00:01 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 5.5951 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5955 loss: 2.5955 2022/06/27 19:50:35 - mmengine - INFO - Epoch(train) [10][2060/3757] lr: 1.000e-02 eta: 1 day, 0:59:56 time: 0.197 data_time: 0.016 memory: 5148 grad_norm: 5.3155 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5807 loss: 2.5807 2022/06/27 19:50:40 - mmengine - INFO - Epoch(train) [10][2080/3757] lr: 1.000e-02 eta: 1 day, 0:59:49 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.1633 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0107 loss: 2.0107 2022/06/27 19:50:46 - mmengine - INFO - Epoch(train) [10][2100/3757] lr: 1.000e-02 eta: 1 day, 0:59:48 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.5735 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2874 loss: 2.2874 2022/06/27 19:50:51 - mmengine - INFO - Epoch(train) [10][2120/3757] lr: 1.000e-02 eta: 1 day, 0:59:45 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 5.5037 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1046 loss: 2.1046 2022/06/27 19:50:56 - mmengine - INFO - Epoch(train) [10][2140/3757] lr: 1.000e-02 eta: 1 day, 0:59:39 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 5.5757 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2930 loss: 2.2930 2022/06/27 19:51:02 - mmengine - INFO - Epoch(train) [10][2160/3757] lr: 1.000e-02 eta: 1 day, 0:59:34 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 5.5556 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4570 loss: 2.4570 2022/06/27 19:51:07 - mmengine - INFO - Epoch(train) [10][2180/3757] lr: 1.000e-02 eta: 1 day, 0:59:26 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 4.8699 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3153 loss: 2.3153 2022/06/27 19:51:09 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 19:51:12 - mmengine - INFO - Epoch(train) [10][2200/3757] lr: 1.000e-02 eta: 1 day, 0:59:22 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 5.2506 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1513 loss: 2.1513 2022/06/27 19:51:18 - mmengine - INFO - Epoch(train) [10][2220/3757] lr: 1.000e-02 eta: 1 day, 0:59:18 time: 0.461 data_time: 0.007 memory: 5148 grad_norm: 5.7288 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5031 loss: 2.5031 2022/06/27 19:51:23 - mmengine - INFO - Epoch(train) [10][2240/3757] lr: 1.000e-02 eta: 1 day, 0:59:14 time: 0.217 data_time: 0.015 memory: 5148 grad_norm: 5.4719 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2827 loss: 2.2827 2022/06/27 19:51:28 - mmengine - INFO - Epoch(train) [10][2260/3757] lr: 1.000e-02 eta: 1 day, 0:59:02 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 5.3428 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3670 loss: 2.3670 2022/06/27 19:51:33 - mmengine - INFO - Epoch(train) [10][2280/3757] lr: 1.000e-02 eta: 1 day, 0:59:01 time: 0.212 data_time: 0.006 memory: 5148 grad_norm: 5.4166 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3496 loss: 2.3496 2022/06/27 19:51:39 - mmengine - INFO - Epoch(train) [10][2300/3757] lr: 1.000e-02 eta: 1 day, 0:58:56 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 5.7894 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3825 loss: 2.3825 2022/06/27 19:51:44 - mmengine - INFO - Epoch(train) [10][2320/3757] lr: 1.000e-02 eta: 1 day, 0:58:49 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 5.4991 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0742 loss: 2.0742 2022/06/27 19:51:49 - mmengine - INFO - Epoch(train) [10][2340/3757] lr: 1.000e-02 eta: 1 day, 0:58:44 time: 0.192 data_time: 0.008 memory: 5148 grad_norm: 5.8575 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6081 loss: 2.6081 2022/06/27 19:51:55 - mmengine - INFO - Epoch(train) [10][2360/3757] lr: 1.000e-02 eta: 1 day, 0:58:41 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.2761 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0209 loss: 2.0209 2022/06/27 19:52:00 - mmengine - INFO - Epoch(train) [10][2380/3757] lr: 1.000e-02 eta: 1 day, 0:58:34 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.2989 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2394 loss: 2.2394 2022/06/27 19:52:05 - mmengine - INFO - Epoch(train) [10][2400/3757] lr: 1.000e-02 eta: 1 day, 0:58:30 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.9132 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1611 loss: 2.1611 2022/06/27 19:52:10 - mmengine - INFO - Epoch(train) [10][2420/3757] lr: 1.000e-02 eta: 1 day, 0:58:23 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 4.9962 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3431 loss: 2.3431 2022/06/27 19:52:16 - mmengine - INFO - Epoch(train) [10][2440/3757] lr: 1.000e-02 eta: 1 day, 0:58:16 time: 0.285 data_time: 0.049 memory: 5148 grad_norm: 5.3573 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3791 loss: 2.3791 2022/06/27 19:52:21 - mmengine - INFO - Epoch(train) [10][2460/3757] lr: 1.000e-02 eta: 1 day, 0:58:13 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.3817 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3409 loss: 2.3409 2022/06/27 19:52:26 - mmengine - INFO - Epoch(train) [10][2480/3757] lr: 1.000e-02 eta: 1 day, 0:58:06 time: 0.210 data_time: 0.006 memory: 5148 grad_norm: 5.6088 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4169 loss: 2.4169 2022/06/27 19:52:32 - mmengine - INFO - Epoch(train) [10][2500/3757] lr: 1.000e-02 eta: 1 day, 0:58:03 time: 0.194 data_time: 0.015 memory: 5148 grad_norm: 5.8269 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2678 loss: 2.2678 2022/06/27 19:52:37 - mmengine - INFO - Epoch(train) [10][2520/3757] lr: 1.000e-02 eta: 1 day, 0:57:58 time: 0.195 data_time: 0.012 memory: 5148 grad_norm: 5.3949 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.4552 loss: 2.4552 2022/06/27 19:52:42 - mmengine - INFO - Epoch(train) [10][2540/3757] lr: 1.000e-02 eta: 1 day, 0:57:50 time: 0.208 data_time: 0.010 memory: 5148 grad_norm: 5.2072 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.4809 loss: 2.4809 2022/06/27 19:52:48 - mmengine - INFO - Epoch(train) [10][2560/3757] lr: 1.000e-02 eta: 1 day, 0:57:47 time: 0.256 data_time: 0.014 memory: 5148 grad_norm: 5.4110 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0211 loss: 3.0211 2022/06/27 19:52:53 - mmengine - INFO - Epoch(train) [10][2580/3757] lr: 1.000e-02 eta: 1 day, 0:57:41 time: 0.198 data_time: 0.025 memory: 5148 grad_norm: 5.2766 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0413 loss: 2.0413 2022/06/27 19:52:59 - mmengine - INFO - Epoch(train) [10][2600/3757] lr: 1.000e-02 eta: 1 day, 0:57:42 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 5.5260 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1955 loss: 2.1955 2022/06/27 19:53:03 - mmengine - INFO - Epoch(train) [10][2620/3757] lr: 1.000e-02 eta: 1 day, 0:57:25 time: 0.194 data_time: 0.009 memory: 5148 grad_norm: 4.7217 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9637 loss: 1.9637 2022/06/27 19:53:08 - mmengine - INFO - Epoch(train) [10][2640/3757] lr: 1.000e-02 eta: 1 day, 0:57:21 time: 0.204 data_time: 0.014 memory: 5148 grad_norm: 5.4478 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9694 loss: 1.9694 2022/06/27 19:53:13 - mmengine - INFO - Epoch(train) [10][2660/3757] lr: 1.000e-02 eta: 1 day, 0:57:12 time: 0.196 data_time: 0.018 memory: 5148 grad_norm: 4.8542 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2128 loss: 2.2128 2022/06/27 19:53:18 - mmengine - INFO - Epoch(train) [10][2680/3757] lr: 1.000e-02 eta: 1 day, 0:57:05 time: 0.202 data_time: 0.016 memory: 5148 grad_norm: 4.7903 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7743 loss: 2.7743 2022/06/27 19:53:24 - mmengine - INFO - Epoch(train) [10][2700/3757] lr: 1.000e-02 eta: 1 day, 0:57:02 time: 0.205 data_time: 0.015 memory: 5148 grad_norm: 4.9904 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1984 loss: 2.1984 2022/06/27 19:53:28 - mmengine - INFO - Epoch(train) [10][2720/3757] lr: 1.000e-02 eta: 1 day, 0:56:47 time: 0.202 data_time: 0.018 memory: 5148 grad_norm: 5.1798 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1568 loss: 2.1568 2022/06/27 19:53:34 - mmengine - INFO - Epoch(train) [10][2740/3757] lr: 1.000e-02 eta: 1 day, 0:56:46 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 5.9660 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5263 loss: 2.5263 2022/06/27 19:53:40 - mmengine - INFO - Epoch(train) [10][2760/3757] lr: 1.000e-02 eta: 1 day, 0:56:47 time: 0.201 data_time: 0.025 memory: 5148 grad_norm: 6.1926 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.3163 loss: 2.3163 2022/06/27 19:53:44 - mmengine - INFO - Epoch(train) [10][2780/3757] lr: 1.000e-02 eta: 1 day, 0:56:36 time: 0.200 data_time: 0.015 memory: 5148 grad_norm: 5.7070 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3885 loss: 2.3885 2022/06/27 19:53:50 - mmengine - INFO - Epoch(train) [10][2800/3757] lr: 1.000e-02 eta: 1 day, 0:56:29 time: 0.191 data_time: 0.010 memory: 5148 grad_norm: 5.0673 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1601 loss: 2.1601 2022/06/27 19:53:56 - mmengine - INFO - Epoch(train) [10][2820/3757] lr: 1.000e-02 eta: 1 day, 0:56:33 time: 0.238 data_time: 0.054 memory: 5148 grad_norm: 5.1465 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1447 loss: 2.1447 2022/06/27 19:54:00 - mmengine - INFO - Epoch(train) [10][2840/3757] lr: 1.000e-02 eta: 1 day, 0:56:18 time: 0.194 data_time: 0.014 memory: 5148 grad_norm: 5.4076 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4419 loss: 2.4419 2022/06/27 19:54:06 - mmengine - INFO - Epoch(train) [10][2860/3757] lr: 1.000e-02 eta: 1 day, 0:56:20 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 5.2001 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7561 loss: 2.7561 2022/06/27 19:54:12 - mmengine - INFO - Epoch(train) [10][2880/3757] lr: 1.000e-02 eta: 1 day, 0:56:16 time: 0.989 data_time: 0.808 memory: 5148 grad_norm: 6.0203 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.4482 loss: 2.4482 2022/06/27 19:54:17 - mmengine - INFO - Epoch(train) [10][2900/3757] lr: 1.000e-02 eta: 1 day, 0:56:08 time: 0.191 data_time: 0.010 memory: 5148 grad_norm: 5.2500 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3188 loss: 2.3188 2022/06/27 19:54:22 - mmengine - INFO - Epoch(train) [10][2920/3757] lr: 1.000e-02 eta: 1 day, 0:56:01 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.7742 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3382 loss: 2.3382 2022/06/27 19:54:27 - mmengine - INFO - Epoch(train) [10][2940/3757] lr: 1.000e-02 eta: 1 day, 0:55:58 time: 0.938 data_time: 0.766 memory: 5148 grad_norm: 5.2538 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4786 loss: 2.4786 2022/06/27 19:54:32 - mmengine - INFO - Epoch(train) [10][2960/3757] lr: 1.000e-02 eta: 1 day, 0:55:50 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.9018 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3020 loss: 2.3020 2022/06/27 19:54:38 - mmengine - INFO - Epoch(train) [10][2980/3757] lr: 1.000e-02 eta: 1 day, 0:55:43 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 6.1809 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4799 loss: 2.4799 2022/06/27 19:54:43 - mmengine - INFO - Epoch(train) [10][3000/3757] lr: 1.000e-02 eta: 1 day, 0:55:38 time: 0.665 data_time: 0.491 memory: 5148 grad_norm: 6.5013 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5078 loss: 2.5078 2022/06/27 19:54:48 - mmengine - INFO - Epoch(train) [10][3020/3757] lr: 1.000e-02 eta: 1 day, 0:55:33 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.5194 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.3358 loss: 2.3358 2022/06/27 19:54:53 - mmengine - INFO - Epoch(train) [10][3040/3757] lr: 1.000e-02 eta: 1 day, 0:55:26 time: 0.208 data_time: 0.010 memory: 5148 grad_norm: 5.7952 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6273 loss: 2.6273 2022/06/27 19:54:59 - mmengine - INFO - Epoch(train) [10][3060/3757] lr: 1.000e-02 eta: 1 day, 0:55:22 time: 0.743 data_time: 0.571 memory: 5148 grad_norm: 5.7967 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9298 loss: 1.9298 2022/06/27 19:55:04 - mmengine - INFO - Epoch(train) [10][3080/3757] lr: 1.000e-02 eta: 1 day, 0:55:15 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.5792 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5064 loss: 2.5064 2022/06/27 19:55:09 - mmengine - INFO - Epoch(train) [10][3100/3757] lr: 1.000e-02 eta: 1 day, 0:55:09 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.8858 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4384 loss: 2.4384 2022/06/27 19:55:15 - mmengine - INFO - Epoch(train) [10][3120/3757] lr: 1.000e-02 eta: 1 day, 0:55:07 time: 0.212 data_time: 0.039 memory: 5148 grad_norm: 4.8256 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1619 loss: 2.1619 2022/06/27 19:55:21 - mmengine - INFO - Epoch(train) [10][3140/3757] lr: 1.000e-02 eta: 1 day, 0:55:10 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 5.5950 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6024 loss: 2.6024 2022/06/27 19:55:26 - mmengine - INFO - Epoch(train) [10][3160/3757] lr: 1.000e-02 eta: 1 day, 0:54:59 time: 0.283 data_time: 0.007 memory: 5148 grad_norm: 5.0454 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4112 loss: 2.4112 2022/06/27 19:55:31 - mmengine - INFO - Epoch(train) [10][3180/3757] lr: 1.000e-02 eta: 1 day, 0:54:57 time: 0.217 data_time: 0.039 memory: 5148 grad_norm: 5.1760 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1101 loss: 2.1101 2022/06/27 19:55:33 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 19:55:36 - mmengine - INFO - Epoch(train) [10][3200/3757] lr: 1.000e-02 eta: 1 day, 0:54:51 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.6867 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0361 loss: 2.0361 2022/06/27 19:55:42 - mmengine - INFO - Epoch(train) [10][3220/3757] lr: 1.000e-02 eta: 1 day, 0:54:44 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.5732 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5611 loss: 2.5611 2022/06/27 19:55:47 - mmengine - INFO - Epoch(train) [10][3240/3757] lr: 1.000e-02 eta: 1 day, 0:54:40 time: 0.218 data_time: 0.040 memory: 5148 grad_norm: 5.1482 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4966 loss: 2.4966 2022/06/27 19:55:52 - mmengine - INFO - Epoch(train) [10][3260/3757] lr: 1.000e-02 eta: 1 day, 0:54:35 time: 0.222 data_time: 0.010 memory: 5148 grad_norm: 5.7762 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1766 loss: 2.1766 2022/06/27 19:55:57 - mmengine - INFO - Epoch(train) [10][3280/3757] lr: 1.000e-02 eta: 1 day, 0:54:28 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.4801 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4512 loss: 2.4512 2022/06/27 19:56:03 - mmengine - INFO - Epoch(train) [10][3300/3757] lr: 1.000e-02 eta: 1 day, 0:54:24 time: 0.224 data_time: 0.042 memory: 5148 grad_norm: 5.5965 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3144 loss: 2.3144 2022/06/27 19:56:08 - mmengine - INFO - Epoch(train) [10][3320/3757] lr: 1.000e-02 eta: 1 day, 0:54:18 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 5.7159 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6266 loss: 2.6266 2022/06/27 19:56:13 - mmengine - INFO - Epoch(train) [10][3340/3757] lr: 1.000e-02 eta: 1 day, 0:54:09 time: 0.206 data_time: 0.028 memory: 5148 grad_norm: 5.1470 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3319 loss: 2.3319 2022/06/27 19:56:19 - mmengine - INFO - Epoch(train) [10][3360/3757] lr: 1.000e-02 eta: 1 day, 0:54:06 time: 0.206 data_time: 0.030 memory: 5148 grad_norm: 5.7477 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5222 loss: 2.5222 2022/06/27 19:56:24 - mmengine - INFO - Epoch(train) [10][3380/3757] lr: 1.000e-02 eta: 1 day, 0:54:05 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 6.1798 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1774 loss: 2.1774 2022/06/27 19:56:29 - mmengine - INFO - Epoch(train) [10][3400/3757] lr: 1.000e-02 eta: 1 day, 0:53:57 time: 0.257 data_time: 0.027 memory: 5148 grad_norm: 5.4052 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 2.8652 loss: 2.8652 2022/06/27 19:56:35 - mmengine - INFO - Epoch(train) [10][3420/3757] lr: 1.000e-02 eta: 1 day, 0:53:50 time: 0.192 data_time: 0.016 memory: 5148 grad_norm: 5.0812 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7062 loss: 2.7062 2022/06/27 19:56:40 - mmengine - INFO - Epoch(train) [10][3440/3757] lr: 1.000e-02 eta: 1 day, 0:53:48 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 5.5502 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4683 loss: 2.4683 2022/06/27 19:56:46 - mmengine - INFO - Epoch(train) [10][3460/3757] lr: 1.000e-02 eta: 1 day, 0:53:48 time: 1.050 data_time: 0.205 memory: 5148 grad_norm: 5.8756 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4213 loss: 2.4213 2022/06/27 19:56:51 - mmengine - INFO - Epoch(train) [10][3480/3757] lr: 1.000e-02 eta: 1 day, 0:53:37 time: 0.198 data_time: 0.026 memory: 5148 grad_norm: 5.3806 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4736 loss: 2.4736 2022/06/27 19:56:57 - mmengine - INFO - Epoch(train) [10][3500/3757] lr: 1.000e-02 eta: 1 day, 0:53:37 time: 0.645 data_time: 0.005 memory: 5148 grad_norm: 5.5722 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.7561 loss: 2.7561 2022/06/27 19:57:02 - mmengine - INFO - Epoch(train) [10][3520/3757] lr: 1.000e-02 eta: 1 day, 0:53:29 time: 0.576 data_time: 0.112 memory: 5148 grad_norm: 5.5051 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1071 loss: 2.1071 2022/06/27 19:57:07 - mmengine - INFO - Epoch(train) [10][3540/3757] lr: 1.000e-02 eta: 1 day, 0:53:28 time: 0.221 data_time: 0.035 memory: 5148 grad_norm: 5.8954 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2018 loss: 2.2018 2022/06/27 19:57:12 - mmengine - INFO - Epoch(train) [10][3560/3757] lr: 1.000e-02 eta: 1 day, 0:53:20 time: 0.257 data_time: 0.006 memory: 5148 grad_norm: 5.2366 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3354 loss: 2.3354 2022/06/27 19:57:17 - mmengine - INFO - Epoch(train) [10][3580/3757] lr: 1.000e-02 eta: 1 day, 0:53:12 time: 0.201 data_time: 0.024 memory: 5148 grad_norm: 6.1309 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0380 loss: 2.0380 2022/06/27 19:57:23 - mmengine - INFO - Epoch(train) [10][3600/3757] lr: 1.000e-02 eta: 1 day, 0:53:06 time: 0.202 data_time: 0.029 memory: 5148 grad_norm: 5.6108 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4252 loss: 2.4252 2022/06/27 19:57:28 - mmengine - INFO - Epoch(train) [10][3620/3757] lr: 1.000e-02 eta: 1 day, 0:53:04 time: 0.211 data_time: 0.008 memory: 5148 grad_norm: 6.0558 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2516 loss: 2.2516 2022/06/27 19:57:33 - mmengine - INFO - Epoch(train) [10][3640/3757] lr: 1.000e-02 eta: 1 day, 0:52:55 time: 0.201 data_time: 0.019 memory: 5148 grad_norm: 5.0759 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7343 loss: 2.7343 2022/06/27 19:57:39 - mmengine - INFO - Epoch(train) [10][3660/3757] lr: 1.000e-02 eta: 1 day, 0:52:53 time: 0.198 data_time: 0.025 memory: 5148 grad_norm: 5.6241 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6086 loss: 2.6086 2022/06/27 19:57:44 - mmengine - INFO - Epoch(train) [10][3680/3757] lr: 1.000e-02 eta: 1 day, 0:52:48 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 4.9672 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5317 loss: 2.5317 2022/06/27 19:57:49 - mmengine - INFO - Epoch(train) [10][3700/3757] lr: 1.000e-02 eta: 1 day, 0:52:38 time: 0.198 data_time: 0.025 memory: 5148 grad_norm: 5.6512 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2070 loss: 2.2070 2022/06/27 19:57:54 - mmengine - INFO - Epoch(train) [10][3720/3757] lr: 1.000e-02 eta: 1 day, 0:52:32 time: 0.200 data_time: 0.019 memory: 5148 grad_norm: 6.5399 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5857 loss: 2.5857 2022/06/27 19:58:00 - mmengine - INFO - Epoch(train) [10][3740/3757] lr: 1.000e-02 eta: 1 day, 0:52:28 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 5.2167 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3510 loss: 2.3510 2022/06/27 19:58:03 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 19:58:03 - mmengine - INFO - Saving checkpoint at 10 epochs 2022/06/27 19:58:12 - mmengine - INFO - Epoch(val) [10][20/310] eta: 0:01:14 time: 0.196 data_time: 0.116 memory: 5148 2022/06/27 19:58:16 - mmengine - INFO - Epoch(val) [10][40/310] eta: 0:01:01 time: 0.084 data_time: 0.006 memory: 1367 2022/06/27 19:58:22 - mmengine - INFO - Epoch(val) [10][60/310] eta: 0:00:54 time: 0.079 data_time: 0.008 memory: 1367 2022/06/27 19:58:27 - mmengine - INFO - Epoch(val) [10][80/310] eta: 0:00:57 time: 0.080 data_time: 0.008 memory: 1367 2022/06/27 19:58:33 - mmengine - INFO - Epoch(val) [10][100/310] eta: 0:00:51 time: 0.087 data_time: 0.005 memory: 1367 2022/06/27 19:58:37 - mmengine - INFO - Epoch(val) [10][120/310] eta: 0:00:46 time: 0.080 data_time: 0.008 memory: 1367 2022/06/27 19:58:44 - mmengine - INFO - Epoch(val) [10][140/310] eta: 0:00:54 time: 0.438 data_time: 0.367 memory: 1367 2022/06/27 19:58:48 - mmengine - INFO - Epoch(val) [10][160/310] eta: 0:00:36 time: 0.370 data_time: 0.299 memory: 1367 2022/06/27 19:58:55 - mmengine - INFO - Epoch(val) [10][180/310] eta: 0:00:48 time: 0.716 data_time: 0.644 memory: 1367 2022/06/27 19:58:59 - mmengine - INFO - Epoch(val) [10][200/310] eta: 0:00:25 time: 0.137 data_time: 0.060 memory: 1367 2022/06/27 19:59:05 - mmengine - INFO - Epoch(val) [10][220/310] eta: 0:00:32 time: 0.208 data_time: 0.131 memory: 1367 2022/06/27 19:59:10 - mmengine - INFO - Epoch(val) [10][240/310] eta: 0:00:14 time: 0.080 data_time: 0.008 memory: 1367 2022/06/27 19:59:16 - mmengine - INFO - Epoch(val) [10][260/310] eta: 0:00:17 time: 0.077 data_time: 0.005 memory: 1367 2022/06/27 19:59:20 - mmengine - INFO - Epoch(val) [10][280/310] eta: 0:00:07 time: 0.089 data_time: 0.012 memory: 1367 2022/06/27 19:59:25 - mmengine - INFO - Epoch(val) [10][300/310] eta: 0:00:02 time: 0.076 data_time: 0.005 memory: 1367 2022/06/27 19:59:27 - mmengine - INFO - Epoch(val) [10][310/310] acc/top1: 0.4976 acc/top5: 0.7579 acc/mean1: 0.4975 2022/06/27 19:59:36 - mmengine - INFO - Epoch(train) [11][20/3757] lr: 1.000e-02 eta: 1 day, 0:52:23 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.1557 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5904 loss: 2.5904 2022/06/27 19:59:41 - mmengine - INFO - Epoch(train) [11][40/3757] lr: 1.000e-02 eta: 1 day, 0:52:20 time: 0.218 data_time: 0.006 memory: 5148 grad_norm: 5.5647 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2084 loss: 2.2084 2022/06/27 19:59:46 - mmengine - INFO - Epoch(train) [11][60/3757] lr: 1.000e-02 eta: 1 day, 0:52:11 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.7626 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2313 loss: 2.2313 2022/06/27 19:59:52 - mmengine - INFO - Epoch(train) [11][80/3757] lr: 1.000e-02 eta: 1 day, 0:52:08 time: 0.187 data_time: 0.009 memory: 5148 grad_norm: 5.1781 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1145 loss: 2.1145 2022/06/27 19:59:57 - mmengine - INFO - Epoch(train) [11][100/3757] lr: 1.000e-02 eta: 1 day, 0:52:06 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.1624 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5216 loss: 2.5216 2022/06/27 20:00:02 - mmengine - INFO - Epoch(train) [11][120/3757] lr: 1.000e-02 eta: 1 day, 0:51:57 time: 0.195 data_time: 0.006 memory: 5148 grad_norm: 6.2116 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1943 loss: 2.1943 2022/06/27 20:00:09 - mmengine - INFO - Epoch(train) [11][140/3757] lr: 1.000e-02 eta: 1 day, 0:51:59 time: 0.189 data_time: 0.007 memory: 5148 grad_norm: 5.8001 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2761 loss: 2.2761 2022/06/27 20:00:15 - mmengine - INFO - Epoch(train) [11][160/3757] lr: 1.000e-02 eta: 1 day, 0:52:01 time: 0.618 data_time: 0.007 memory: 5148 grad_norm: 5.8290 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5472 loss: 2.5472 2022/06/27 20:00:19 - mmengine - INFO - Epoch(train) [11][180/3757] lr: 1.000e-02 eta: 1 day, 0:51:52 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 5.4067 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3601 loss: 2.3601 2022/06/27 20:00:25 - mmengine - INFO - Epoch(train) [11][200/3757] lr: 1.000e-02 eta: 1 day, 0:51:47 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.4108 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2748 loss: 2.2748 2022/06/27 20:00:31 - mmengine - INFO - Epoch(train) [11][220/3757] lr: 1.000e-02 eta: 1 day, 0:51:46 time: 0.219 data_time: 0.007 memory: 5148 grad_norm: 5.4360 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1888 loss: 2.1888 2022/06/27 20:00:36 - mmengine - INFO - Epoch(train) [11][240/3757] lr: 1.000e-02 eta: 1 day, 0:51:37 time: 0.189 data_time: 0.007 memory: 5148 grad_norm: 5.9464 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7812 loss: 2.7812 2022/06/27 20:00:41 - mmengine - INFO - Epoch(train) [11][260/3757] lr: 1.000e-02 eta: 1 day, 0:51:37 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.7973 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2483 loss: 2.2483 2022/06/27 20:00:47 - mmengine - INFO - Epoch(train) [11][280/3757] lr: 1.000e-02 eta: 1 day, 0:51:35 time: 0.231 data_time: 0.006 memory: 5148 grad_norm: 5.9284 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5161 loss: 2.5161 2022/06/27 20:00:52 - mmengine - INFO - Epoch(train) [11][300/3757] lr: 1.000e-02 eta: 1 day, 0:51:22 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 4.8929 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9597 loss: 1.9597 2022/06/27 20:00:57 - mmengine - INFO - Epoch(train) [11][320/3757] lr: 1.000e-02 eta: 1 day, 0:51:20 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 5.5072 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5961 loss: 2.5961 2022/06/27 20:01:03 - mmengine - INFO - Epoch(train) [11][340/3757] lr: 1.000e-02 eta: 1 day, 0:51:18 time: 0.190 data_time: 0.005 memory: 5148 grad_norm: 5.9746 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0899 loss: 2.0899 2022/06/27 20:01:08 - mmengine - INFO - Epoch(train) [11][360/3757] lr: 1.000e-02 eta: 1 day, 0:51:11 time: 0.191 data_time: 0.006 memory: 5148 grad_norm: 5.5371 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6006 loss: 2.6006 2022/06/27 20:01:13 - mmengine - INFO - Epoch(train) [11][380/3757] lr: 1.000e-02 eta: 1 day, 0:51:06 time: 0.190 data_time: 0.007 memory: 5148 grad_norm: 5.2746 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2373 loss: 2.2373 2022/06/27 20:01:19 - mmengine - INFO - Epoch(train) [11][400/3757] lr: 1.000e-02 eta: 1 day, 0:51:02 time: 0.189 data_time: 0.011 memory: 5148 grad_norm: 5.2146 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3521 loss: 2.3521 2022/06/27 20:01:23 - mmengine - INFO - Epoch(train) [11][420/3757] lr: 1.000e-02 eta: 1 day, 0:50:50 time: 0.194 data_time: 0.006 memory: 5148 grad_norm: 5.5053 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 2.2196 loss: 2.2196 2022/06/27 20:01:26 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 20:01:29 - mmengine - INFO - Epoch(train) [11][440/3757] lr: 1.000e-02 eta: 1 day, 0:50:45 time: 0.207 data_time: 0.006 memory: 5148 grad_norm: 6.3126 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3450 loss: 2.3450 2022/06/27 20:01:34 - mmengine - INFO - Epoch(train) [11][460/3757] lr: 1.000e-02 eta: 1 day, 0:50:40 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 5.2224 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6884 loss: 2.6884 2022/06/27 20:01:39 - mmengine - INFO - Epoch(train) [11][480/3757] lr: 1.000e-02 eta: 1 day, 0:50:30 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 6.2776 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4716 loss: 2.4716 2022/06/27 20:01:44 - mmengine - INFO - Epoch(train) [11][500/3757] lr: 1.000e-02 eta: 1 day, 0:50:27 time: 0.194 data_time: 0.006 memory: 5148 grad_norm: 5.8023 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4648 loss: 2.4648 2022/06/27 20:01:50 - mmengine - INFO - Epoch(train) [11][520/3757] lr: 1.000e-02 eta: 1 day, 0:50:24 time: 0.209 data_time: 0.006 memory: 5148 grad_norm: 6.1223 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6645 loss: 2.6645 2022/06/27 20:01:55 - mmengine - INFO - Epoch(train) [11][540/3757] lr: 1.000e-02 eta: 1 day, 0:50:14 time: 0.189 data_time: 0.011 memory: 5148 grad_norm: 6.4706 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5657 loss: 2.5657 2022/06/27 20:02:00 - mmengine - INFO - Epoch(train) [11][560/3757] lr: 1.000e-02 eta: 1 day, 0:50:12 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 6.1899 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4254 loss: 2.4254 2022/06/27 20:02:06 - mmengine - INFO - Epoch(train) [11][580/3757] lr: 1.000e-02 eta: 1 day, 0:50:09 time: 0.225 data_time: 0.006 memory: 5148 grad_norm: 5.8555 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1422 loss: 2.1422 2022/06/27 20:02:11 - mmengine - INFO - Epoch(train) [11][600/3757] lr: 1.000e-02 eta: 1 day, 0:49:59 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.7349 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6424 loss: 2.6424 2022/06/27 20:02:16 - mmengine - INFO - Epoch(train) [11][620/3757] lr: 1.000e-02 eta: 1 day, 0:49:54 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 6.0303 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7757 loss: 2.7757 2022/06/27 20:02:22 - mmengine - INFO - Epoch(train) [11][640/3757] lr: 1.000e-02 eta: 1 day, 0:49:53 time: 0.192 data_time: 0.006 memory: 5148 grad_norm: 5.7278 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9567 loss: 1.9567 2022/06/27 20:02:27 - mmengine - INFO - Epoch(train) [11][660/3757] lr: 1.000e-02 eta: 1 day, 0:49:43 time: 0.238 data_time: 0.008 memory: 5148 grad_norm: 5.3228 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4559 loss: 2.4559 2022/06/27 20:02:32 - mmengine - INFO - Epoch(train) [11][680/3757] lr: 1.000e-02 eta: 1 day, 0:49:38 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 5.4551 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5782 loss: 2.5782 2022/06/27 20:02:37 - mmengine - INFO - Epoch(train) [11][700/3757] lr: 1.000e-02 eta: 1 day, 0:49:32 time: 0.201 data_time: 0.009 memory: 5148 grad_norm: 4.8661 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5195 loss: 2.5195 2022/06/27 20:02:42 - mmengine - INFO - Epoch(train) [11][720/3757] lr: 1.000e-02 eta: 1 day, 0:49:19 time: 0.192 data_time: 0.018 memory: 5148 grad_norm: 5.8968 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4454 loss: 2.4454 2022/06/27 20:02:47 - mmengine - INFO - Epoch(train) [11][740/3757] lr: 1.000e-02 eta: 1 day, 0:49:17 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.2214 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6950 loss: 2.6950 2022/06/27 20:02:52 - mmengine - INFO - Epoch(train) [11][760/3757] lr: 1.000e-02 eta: 1 day, 0:49:10 time: 0.193 data_time: 0.006 memory: 5148 grad_norm: 5.2454 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6064 loss: 2.6064 2022/06/27 20:02:57 - mmengine - INFO - Epoch(train) [11][780/3757] lr: 1.000e-02 eta: 1 day, 0:49:02 time: 0.191 data_time: 0.012 memory: 5148 grad_norm: 6.0178 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3177 loss: 2.3177 2022/06/27 20:03:03 - mmengine - INFO - Epoch(train) [11][800/3757] lr: 1.000e-02 eta: 1 day, 0:48:59 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.1922 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4415 loss: 2.4415 2022/06/27 20:03:09 - mmengine - INFO - Epoch(train) [11][820/3757] lr: 1.000e-02 eta: 1 day, 0:48:58 time: 0.196 data_time: 0.006 memory: 5148 grad_norm: 5.4830 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1161 loss: 2.1161 2022/06/27 20:03:14 - mmengine - INFO - Epoch(train) [11][840/3757] lr: 1.000e-02 eta: 1 day, 0:48:53 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 5.2734 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4236 loss: 2.4236 2022/06/27 20:03:19 - mmengine - INFO - Epoch(train) [11][860/3757] lr: 1.000e-02 eta: 1 day, 0:48:43 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.5069 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4199 loss: 2.4199 2022/06/27 20:03:24 - mmengine - INFO - Epoch(train) [11][880/3757] lr: 1.000e-02 eta: 1 day, 0:48:41 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.6216 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.5238 loss: 2.5238 2022/06/27 20:03:29 - mmengine - INFO - Epoch(train) [11][900/3757] lr: 1.000e-02 eta: 1 day, 0:48:33 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.0846 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4611 loss: 2.4611 2022/06/27 20:03:35 - mmengine - INFO - Epoch(train) [11][920/3757] lr: 1.000e-02 eta: 1 day, 0:48:29 time: 0.191 data_time: 0.010 memory: 5148 grad_norm: 5.6468 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5089 loss: 2.5089 2022/06/27 20:03:40 - mmengine - INFO - Epoch(train) [11][940/3757] lr: 1.000e-02 eta: 1 day, 0:48:21 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 5.1916 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3107 loss: 2.3107 2022/06/27 20:03:45 - mmengine - INFO - Epoch(train) [11][960/3757] lr: 1.000e-02 eta: 1 day, 0:48:12 time: 0.196 data_time: 0.012 memory: 5148 grad_norm: 5.6427 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1886 loss: 2.1886 2022/06/27 20:03:50 - mmengine - INFO - Epoch(train) [11][980/3757] lr: 1.000e-02 eta: 1 day, 0:48:10 time: 0.218 data_time: 0.007 memory: 5148 grad_norm: 5.7213 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6606 loss: 2.6606 2022/06/27 20:03:56 - mmengine - INFO - Epoch(train) [11][1000/3757] lr: 1.000e-02 eta: 1 day, 0:48:04 time: 0.194 data_time: 0.006 memory: 5148 grad_norm: 5.0272 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3280 loss: 2.3280 2022/06/27 20:04:01 - mmengine - INFO - Epoch(train) [11][1020/3757] lr: 1.000e-02 eta: 1 day, 0:48:02 time: 0.201 data_time: 0.018 memory: 5148 grad_norm: 5.3923 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5761 loss: 2.5761 2022/06/27 20:04:06 - mmengine - INFO - Epoch(train) [11][1040/3757] lr: 1.000e-02 eta: 1 day, 0:47:53 time: 0.207 data_time: 0.006 memory: 5148 grad_norm: 5.7224 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3370 loss: 2.3370 2022/06/27 20:04:11 - mmengine - INFO - Epoch(train) [11][1060/3757] lr: 1.000e-02 eta: 1 day, 0:47:44 time: 0.189 data_time: 0.007 memory: 5148 grad_norm: 5.1752 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9686 loss: 1.9686 2022/06/27 20:04:16 - mmengine - INFO - Epoch(train) [11][1080/3757] lr: 1.000e-02 eta: 1 day, 0:47:37 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 5.6610 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4441 loss: 2.4441 2022/06/27 20:04:22 - mmengine - INFO - Epoch(train) [11][1100/3757] lr: 1.000e-02 eta: 1 day, 0:47:40 time: 0.278 data_time: 0.007 memory: 5148 grad_norm: 5.6711 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2201 loss: 2.2201 2022/06/27 20:04:27 - mmengine - INFO - Epoch(train) [11][1120/3757] lr: 1.000e-02 eta: 1 day, 0:47:28 time: 0.192 data_time: 0.011 memory: 5148 grad_norm: 5.6346 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2963 loss: 2.2963 2022/06/27 20:04:32 - mmengine - INFO - Epoch(train) [11][1140/3757] lr: 1.000e-02 eta: 1 day, 0:47:25 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 6.0152 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2377 loss: 2.2377 2022/06/27 20:04:38 - mmengine - INFO - Epoch(train) [11][1160/3757] lr: 1.000e-02 eta: 1 day, 0:47:18 time: 0.235 data_time: 0.007 memory: 5148 grad_norm: 6.4020 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2557 loss: 2.2557 2022/06/27 20:04:42 - mmengine - INFO - Epoch(train) [11][1180/3757] lr: 1.000e-02 eta: 1 day, 0:47:09 time: 0.190 data_time: 0.007 memory: 5148 grad_norm: 4.8988 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1842 loss: 2.1842 2022/06/27 20:04:48 - mmengine - INFO - Epoch(train) [11][1200/3757] lr: 1.000e-02 eta: 1 day, 0:47:07 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 5.4720 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7187 loss: 2.7187 2022/06/27 20:04:53 - mmengine - INFO - Epoch(train) [11][1220/3757] lr: 1.000e-02 eta: 1 day, 0:46:57 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 5.6624 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3846 loss: 2.3846 2022/06/27 20:04:58 - mmengine - INFO - Epoch(train) [11][1240/3757] lr: 1.000e-02 eta: 1 day, 0:46:51 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 7.0135 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4614 loss: 2.4614 2022/06/27 20:05:04 - mmengine - INFO - Epoch(train) [11][1260/3757] lr: 1.000e-02 eta: 1 day, 0:46:48 time: 0.192 data_time: 0.006 memory: 5148 grad_norm: 6.0351 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0790 loss: 2.0790 2022/06/27 20:05:09 - mmengine - INFO - Epoch(train) [11][1280/3757] lr: 1.000e-02 eta: 1 day, 0:46:44 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.3853 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1560 loss: 2.1560 2022/06/27 20:05:14 - mmengine - INFO - Epoch(train) [11][1300/3757] lr: 1.000e-02 eta: 1 day, 0:46:34 time: 0.191 data_time: 0.011 memory: 5148 grad_norm: 5.7131 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3482 loss: 2.3482 2022/06/27 20:05:19 - mmengine - INFO - Epoch(train) [11][1320/3757] lr: 1.000e-02 eta: 1 day, 0:46:29 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.4001 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1552 loss: 2.1552 2022/06/27 20:05:24 - mmengine - INFO - Epoch(train) [11][1340/3757] lr: 1.000e-02 eta: 1 day, 0:46:22 time: 0.194 data_time: 0.006 memory: 5148 grad_norm: 5.4119 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4978 loss: 2.4978 2022/06/27 20:05:30 - mmengine - INFO - Epoch(train) [11][1360/3757] lr: 1.000e-02 eta: 1 day, 0:46:17 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 5.9610 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2674 loss: 2.2674 2022/06/27 20:05:36 - mmengine - INFO - Epoch(train) [11][1380/3757] lr: 1.000e-02 eta: 1 day, 0:46:19 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.4672 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8161 loss: 2.8161 2022/06/27 20:05:40 - mmengine - INFO - Epoch(train) [11][1400/3757] lr: 1.000e-02 eta: 1 day, 0:46:07 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.8274 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5893 loss: 2.5893 2022/06/27 20:05:46 - mmengine - INFO - Epoch(train) [11][1420/3757] lr: 1.000e-02 eta: 1 day, 0:46:05 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 4.9802 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4278 loss: 2.4278 2022/06/27 20:05:49 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 20:05:52 - mmengine - INFO - Epoch(train) [11][1440/3757] lr: 1.000e-02 eta: 1 day, 0:46:03 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.8917 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1956 loss: 2.1956 2022/06/27 20:05:56 - mmengine - INFO - Epoch(train) [11][1460/3757] lr: 1.000e-02 eta: 1 day, 0:45:53 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.8724 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7112 loss: 2.7112 2022/06/27 20:06:02 - mmengine - INFO - Epoch(train) [11][1480/3757] lr: 1.000e-02 eta: 1 day, 0:45:48 time: 0.197 data_time: 0.009 memory: 5148 grad_norm: 5.5809 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4930 loss: 2.4930 2022/06/27 20:06:07 - mmengine - INFO - Epoch(train) [11][1500/3757] lr: 1.000e-02 eta: 1 day, 0:45:44 time: 0.218 data_time: 0.007 memory: 5148 grad_norm: 5.7248 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9929 loss: 1.9929 2022/06/27 20:06:13 - mmengine - INFO - Epoch(train) [11][1520/3757] lr: 1.000e-02 eta: 1 day, 0:45:41 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 5.2258 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2321 loss: 2.2321 2022/06/27 20:06:18 - mmengine - INFO - Epoch(train) [11][1540/3757] lr: 1.000e-02 eta: 1 day, 0:45:34 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.3756 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3149 loss: 2.3149 2022/06/27 20:06:24 - mmengine - INFO - Epoch(train) [11][1560/3757] lr: 1.000e-02 eta: 1 day, 0:45:32 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.0185 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3968 loss: 2.3968 2022/06/27 20:06:29 - mmengine - INFO - Epoch(train) [11][1580/3757] lr: 1.000e-02 eta: 1 day, 0:45:24 time: 0.189 data_time: 0.009 memory: 5148 grad_norm: 5.4817 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3885 loss: 2.3885 2022/06/27 20:06:33 - mmengine - INFO - Epoch(train) [11][1600/3757] lr: 1.000e-02 eta: 1 day, 0:45:14 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 5.7442 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4797 loss: 2.4797 2022/06/27 20:06:39 - mmengine - INFO - Epoch(train) [11][1620/3757] lr: 1.000e-02 eta: 1 day, 0:45:09 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 4.7595 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5422 loss: 2.5422 2022/06/27 20:06:44 - mmengine - INFO - Epoch(train) [11][1640/3757] lr: 1.000e-02 eta: 1 day, 0:45:03 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.7710 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6517 loss: 2.6517 2022/06/27 20:06:49 - mmengine - INFO - Epoch(train) [11][1660/3757] lr: 1.000e-02 eta: 1 day, 0:44:57 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 6.1932 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3772 loss: 2.3772 2022/06/27 20:06:55 - mmengine - INFO - Epoch(train) [11][1680/3757] lr: 1.000e-02 eta: 1 day, 0:44:55 time: 0.208 data_time: 0.006 memory: 5148 grad_norm: 5.2669 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5443 loss: 2.5443 2022/06/27 20:07:00 - mmengine - INFO - Epoch(train) [11][1700/3757] lr: 1.000e-02 eta: 1 day, 0:44:50 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 5.6040 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3907 loss: 2.3907 2022/06/27 20:07:05 - mmengine - INFO - Epoch(train) [11][1720/3757] lr: 1.000e-02 eta: 1 day, 0:44:40 time: 0.193 data_time: 0.008 memory: 5148 grad_norm: 5.0004 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.6776 loss: 2.6776 2022/06/27 20:07:11 - mmengine - INFO - Epoch(train) [11][1740/3757] lr: 1.000e-02 eta: 1 day, 0:44:38 time: 0.211 data_time: 0.006 memory: 5148 grad_norm: 5.3493 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9793 loss: 1.9793 2022/06/27 20:07:16 - mmengine - INFO - Epoch(train) [11][1760/3757] lr: 1.000e-02 eta: 1 day, 0:44:32 time: 0.200 data_time: 0.009 memory: 5148 grad_norm: 6.0577 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4095 loss: 2.4095 2022/06/27 20:07:21 - mmengine - INFO - Epoch(train) [11][1780/3757] lr: 1.000e-02 eta: 1 day, 0:44:28 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 5.2179 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3550 loss: 2.3550 2022/06/27 20:07:27 - mmengine - INFO - Epoch(train) [11][1800/3757] lr: 1.000e-02 eta: 1 day, 0:44:23 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 5.7327 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4303 loss: 2.4303 2022/06/27 20:07:32 - mmengine - INFO - Epoch(train) [11][1820/3757] lr: 1.000e-02 eta: 1 day, 0:44:16 time: 0.194 data_time: 0.006 memory: 5148 grad_norm: 4.8727 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1785 loss: 2.1785 2022/06/27 20:07:37 - mmengine - INFO - Epoch(train) [11][1840/3757] lr: 1.000e-02 eta: 1 day, 0:44:14 time: 0.211 data_time: 0.020 memory: 5148 grad_norm: 5.9911 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7360 loss: 2.7360 2022/06/27 20:07:42 - mmengine - INFO - Epoch(train) [11][1860/3757] lr: 1.000e-02 eta: 1 day, 0:44:08 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 5.1125 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3302 loss: 2.3302 2022/06/27 20:07:48 - mmengine - INFO - Epoch(train) [11][1880/3757] lr: 1.000e-02 eta: 1 day, 0:44:01 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 4.7502 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4333 loss: 2.4333 2022/06/27 20:07:53 - mmengine - INFO - Epoch(train) [11][1900/3757] lr: 1.000e-02 eta: 1 day, 0:43:58 time: 0.197 data_time: 0.017 memory: 5148 grad_norm: 6.3985 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7038 loss: 2.7038 2022/06/27 20:07:59 - mmengine - INFO - Epoch(train) [11][1920/3757] lr: 1.000e-02 eta: 1 day, 0:43:55 time: 0.195 data_time: 0.006 memory: 5148 grad_norm: 5.1816 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6618 loss: 2.6618 2022/06/27 20:08:04 - mmengine - INFO - Epoch(train) [11][1940/3757] lr: 1.000e-02 eta: 1 day, 0:43:47 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.4176 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1388 loss: 2.1388 2022/06/27 20:08:09 - mmengine - INFO - Epoch(train) [11][1960/3757] lr: 1.000e-02 eta: 1 day, 0:43:42 time: 0.206 data_time: 0.022 memory: 5148 grad_norm: 5.4565 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3986 loss: 2.3986 2022/06/27 20:08:15 - mmengine - INFO - Epoch(train) [11][1980/3757] lr: 1.000e-02 eta: 1 day, 0:43:41 time: 0.209 data_time: 0.011 memory: 5148 grad_norm: 6.1957 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.4522 loss: 2.4522 2022/06/27 20:08:19 - mmengine - INFO - Epoch(train) [11][2000/3757] lr: 1.000e-02 eta: 1 day, 0:43:29 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.7347 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7323 loss: 2.7323 2022/06/27 20:08:25 - mmengine - INFO - Epoch(train) [11][2020/3757] lr: 1.000e-02 eta: 1 day, 0:43:26 time: 0.191 data_time: 0.013 memory: 5148 grad_norm: 5.0367 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2248 loss: 2.2248 2022/06/27 20:08:31 - mmengine - INFO - Epoch(train) [11][2040/3757] lr: 1.000e-02 eta: 1 day, 0:43:24 time: 0.244 data_time: 0.061 memory: 5148 grad_norm: 5.7820 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1596 loss: 2.1596 2022/06/27 20:08:35 - mmengine - INFO - Epoch(train) [11][2060/3757] lr: 1.000e-02 eta: 1 day, 0:43:08 time: 0.193 data_time: 0.011 memory: 5148 grad_norm: 4.8690 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4575 loss: 2.4575 2022/06/27 20:08:40 - mmengine - INFO - Epoch(train) [11][2080/3757] lr: 1.000e-02 eta: 1 day, 0:43:07 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 5.5699 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5828 loss: 2.5828 2022/06/27 20:08:46 - mmengine - INFO - Epoch(train) [11][2100/3757] lr: 1.000e-02 eta: 1 day, 0:43:07 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 5.3752 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4006 loss: 2.4006 2022/06/27 20:08:51 - mmengine - INFO - Epoch(train) [11][2120/3757] lr: 1.000e-02 eta: 1 day, 0:42:56 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.4783 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2307 loss: 2.2307 2022/06/27 20:08:57 - mmengine - INFO - Epoch(train) [11][2140/3757] lr: 1.000e-02 eta: 1 day, 0:42:53 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 5.6540 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6028 loss: 2.6028 2022/06/27 20:09:02 - mmengine - INFO - Epoch(train) [11][2160/3757] lr: 1.000e-02 eta: 1 day, 0:42:48 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 5.1907 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0369 loss: 2.0369 2022/06/27 20:09:07 - mmengine - INFO - Epoch(train) [11][2180/3757] lr: 1.000e-02 eta: 1 day, 0:42:38 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 5.5522 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4551 loss: 2.4551 2022/06/27 20:09:12 - mmengine - INFO - Epoch(train) [11][2200/3757] lr: 1.000e-02 eta: 1 day, 0:42:36 time: 0.223 data_time: 0.007 memory: 5148 grad_norm: 5.7017 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4381 loss: 2.4381 2022/06/27 20:09:18 - mmengine - INFO - Epoch(train) [11][2220/3757] lr: 1.000e-02 eta: 1 day, 0:42:30 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 5.6965 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2216 loss: 2.2216 2022/06/27 20:09:22 - mmengine - INFO - Epoch(train) [11][2240/3757] lr: 1.000e-02 eta: 1 day, 0:42:19 time: 0.194 data_time: 0.009 memory: 5148 grad_norm: 4.8084 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4065 loss: 2.4065 2022/06/27 20:09:28 - mmengine - INFO - Epoch(train) [11][2260/3757] lr: 1.000e-02 eta: 1 day, 0:42:19 time: 0.216 data_time: 0.018 memory: 5148 grad_norm: 5.6484 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7899 loss: 2.7899 2022/06/27 20:09:33 - mmengine - INFO - Epoch(train) [11][2280/3757] lr: 1.000e-02 eta: 1 day, 0:42:13 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 5.5091 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7472 loss: 2.7472 2022/06/27 20:09:38 - mmengine - INFO - Epoch(train) [11][2300/3757] lr: 1.000e-02 eta: 1 day, 0:42:04 time: 0.213 data_time: 0.009 memory: 5148 grad_norm: 5.3724 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5884 loss: 2.5884 2022/06/27 20:09:43 - mmengine - INFO - Epoch(train) [11][2320/3757] lr: 1.000e-02 eta: 1 day, 0:41:58 time: 0.193 data_time: 0.011 memory: 5148 grad_norm: 5.0832 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5893 loss: 2.5893 2022/06/27 20:09:49 - mmengine - INFO - Epoch(train) [11][2340/3757] lr: 1.000e-02 eta: 1 day, 0:41:53 time: 0.195 data_time: 0.009 memory: 5148 grad_norm: 5.6710 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2615 loss: 2.2615 2022/06/27 20:09:53 - mmengine - INFO - Epoch(train) [11][2360/3757] lr: 1.000e-02 eta: 1 day, 0:41:43 time: 0.196 data_time: 0.006 memory: 5148 grad_norm: 5.8218 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1739 loss: 2.1739 2022/06/27 20:09:59 - mmengine - INFO - Epoch(train) [11][2380/3757] lr: 1.000e-02 eta: 1 day, 0:41:42 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 6.2080 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4123 loss: 2.4123 2022/06/27 20:10:05 - mmengine - INFO - Epoch(train) [11][2400/3757] lr: 1.000e-02 eta: 1 day, 0:41:42 time: 0.199 data_time: 0.009 memory: 5148 grad_norm: 5.3877 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1311 loss: 2.1311 2022/06/27 20:10:10 - mmengine - INFO - Epoch(train) [11][2420/3757] lr: 1.000e-02 eta: 1 day, 0:41:31 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 5.1125 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5471 loss: 2.5471 2022/06/27 20:10:13 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 20:10:16 - mmengine - INFO - Epoch(train) [11][2440/3757] lr: 1.000e-02 eta: 1 day, 0:41:32 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 6.0210 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.5955 loss: 2.5955 2022/06/27 20:10:21 - mmengine - INFO - Epoch(train) [11][2460/3757] lr: 1.000e-02 eta: 1 day, 0:41:22 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 4.8615 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4189 loss: 2.4189 2022/06/27 20:10:25 - mmengine - INFO - Epoch(train) [11][2480/3757] lr: 1.000e-02 eta: 1 day, 0:41:11 time: 0.227 data_time: 0.014 memory: 5148 grad_norm: 5.8078 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.6489 loss: 2.6489 2022/06/27 20:10:31 - mmengine - INFO - Epoch(train) [11][2500/3757] lr: 1.000e-02 eta: 1 day, 0:41:10 time: 0.205 data_time: 0.006 memory: 5148 grad_norm: 5.1993 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2682 loss: 2.2682 2022/06/27 20:10:37 - mmengine - INFO - Epoch(train) [11][2520/3757] lr: 1.000e-02 eta: 1 day, 0:41:08 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 5.7672 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4625 loss: 2.4625 2022/06/27 20:10:41 - mmengine - INFO - Epoch(train) [11][2540/3757] lr: 1.000e-02 eta: 1 day, 0:40:56 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.2744 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5908 loss: 2.5908 2022/06/27 20:10:46 - mmengine - INFO - Epoch(train) [11][2560/3757] lr: 1.000e-02 eta: 1 day, 0:40:50 time: 0.195 data_time: 0.009 memory: 5148 grad_norm: 5.2275 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2943 loss: 2.2943 2022/06/27 20:10:52 - mmengine - INFO - Epoch(train) [11][2580/3757] lr: 1.000e-02 eta: 1 day, 0:40:48 time: 0.194 data_time: 0.017 memory: 5148 grad_norm: 5.4418 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1508 loss: 2.1508 2022/06/27 20:10:57 - mmengine - INFO - Epoch(train) [11][2600/3757] lr: 1.000e-02 eta: 1 day, 0:40:37 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.3456 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2121 loss: 2.2121 2022/06/27 20:11:02 - mmengine - INFO - Epoch(train) [11][2620/3757] lr: 1.000e-02 eta: 1 day, 0:40:33 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 5.9261 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1618 loss: 2.1618 2022/06/27 20:11:08 - mmengine - INFO - Epoch(train) [11][2640/3757] lr: 1.000e-02 eta: 1 day, 0:40:31 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 5.6928 top1_acc: 0.0000 top5_acc: 0.7500 loss_cls: 2.6119 loss: 2.6119 2022/06/27 20:11:13 - mmengine - INFO - Epoch(train) [11][2660/3757] lr: 1.000e-02 eta: 1 day, 0:40:24 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 6.1687 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1585 loss: 2.1585 2022/06/27 20:11:19 - mmengine - INFO - Epoch(train) [11][2680/3757] lr: 1.000e-02 eta: 1 day, 0:40:22 time: 0.189 data_time: 0.007 memory: 5148 grad_norm: 5.5695 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9070 loss: 1.9070 2022/06/27 20:11:24 - mmengine - INFO - Epoch(train) [11][2700/3757] lr: 1.000e-02 eta: 1 day, 0:40:19 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 5.2369 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2400 loss: 2.2400 2022/06/27 20:11:29 - mmengine - INFO - Epoch(train) [11][2720/3757] lr: 1.000e-02 eta: 1 day, 0:40:08 time: 0.204 data_time: 0.009 memory: 5148 grad_norm: 5.7423 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2779 loss: 2.2779 2022/06/27 20:11:34 - mmengine - INFO - Epoch(train) [11][2740/3757] lr: 1.000e-02 eta: 1 day, 0:40:01 time: 0.193 data_time: 0.012 memory: 5148 grad_norm: 5.3705 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3039 loss: 2.3039 2022/06/27 20:11:40 - mmengine - INFO - Epoch(train) [11][2760/3757] lr: 1.000e-02 eta: 1 day, 0:39:59 time: 0.191 data_time: 0.009 memory: 5148 grad_norm: 4.6290 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8867 loss: 1.8867 2022/06/27 20:11:44 - mmengine - INFO - Epoch(train) [11][2780/3757] lr: 1.000e-02 eta: 1 day, 0:39:48 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.0355 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3936 loss: 2.3936 2022/06/27 20:11:51 - mmengine - INFO - Epoch(train) [11][2800/3757] lr: 1.000e-02 eta: 1 day, 0:39:50 time: 0.198 data_time: 0.019 memory: 5148 grad_norm: 6.1287 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1663 loss: 2.1663 2022/06/27 20:11:56 - mmengine - INFO - Epoch(train) [11][2820/3757] lr: 1.000e-02 eta: 1 day, 0:39:44 time: 0.196 data_time: 0.012 memory: 5148 grad_norm: 5.5816 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9598 loss: 1.9598 2022/06/27 20:12:00 - mmengine - INFO - Epoch(train) [11][2840/3757] lr: 1.000e-02 eta: 1 day, 0:39:29 time: 0.191 data_time: 0.012 memory: 5148 grad_norm: 5.8515 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5991 loss: 2.5991 2022/06/27 20:12:06 - mmengine - INFO - Epoch(train) [11][2860/3757] lr: 1.000e-02 eta: 1 day, 0:39:27 time: 0.198 data_time: 0.014 memory: 5148 grad_norm: 6.8001 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0664 loss: 3.0664 2022/06/27 20:12:11 - mmengine - INFO - Epoch(train) [11][2880/3757] lr: 1.000e-02 eta: 1 day, 0:39:23 time: 0.200 data_time: 0.016 memory: 5148 grad_norm: 5.7485 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2486 loss: 2.2486 2022/06/27 20:12:16 - mmengine - INFO - Epoch(train) [11][2900/3757] lr: 1.000e-02 eta: 1 day, 0:39:15 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 5.3946 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3132 loss: 2.3132 2022/06/27 20:12:21 - mmengine - INFO - Epoch(train) [11][2920/3757] lr: 1.000e-02 eta: 1 day, 0:39:10 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 5.0958 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.1891 loss: 2.1891 2022/06/27 20:12:27 - mmengine - INFO - Epoch(train) [11][2940/3757] lr: 1.000e-02 eta: 1 day, 0:39:06 time: 0.194 data_time: 0.009 memory: 5148 grad_norm: 6.6898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2985 loss: 2.2985 2022/06/27 20:12:32 - mmengine - INFO - Epoch(train) [11][2960/3757] lr: 1.000e-02 eta: 1 day, 0:39:00 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 4.7409 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4503 loss: 2.4503 2022/06/27 20:12:38 - mmengine - INFO - Epoch(train) [11][2980/3757] lr: 1.000e-02 eta: 1 day, 0:38:58 time: 0.198 data_time: 0.023 memory: 5148 grad_norm: 4.7718 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1052 loss: 2.1052 2022/06/27 20:12:43 - mmengine - INFO - Epoch(train) [11][3000/3757] lr: 1.000e-02 eta: 1 day, 0:38:51 time: 0.206 data_time: 0.013 memory: 5148 grad_norm: 5.0838 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2088 loss: 2.2088 2022/06/27 20:12:48 - mmengine - INFO - Epoch(train) [11][3020/3757] lr: 1.000e-02 eta: 1 day, 0:38:49 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 5.4912 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2346 loss: 2.2346 2022/06/27 20:12:54 - mmengine - INFO - Epoch(train) [11][3040/3757] lr: 1.000e-02 eta: 1 day, 0:38:42 time: 0.202 data_time: 0.014 memory: 5148 grad_norm: 6.0639 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2642 loss: 2.2642 2022/06/27 20:12:58 - mmengine - INFO - Epoch(train) [11][3060/3757] lr: 1.000e-02 eta: 1 day, 0:38:32 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.7865 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6146 loss: 2.6146 2022/06/27 20:13:04 - mmengine - INFO - Epoch(train) [11][3080/3757] lr: 1.000e-02 eta: 1 day, 0:38:27 time: 0.204 data_time: 0.022 memory: 5148 grad_norm: 6.0733 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6100 loss: 2.6100 2022/06/27 20:13:09 - mmengine - INFO - Epoch(train) [11][3100/3757] lr: 1.000e-02 eta: 1 day, 0:38:25 time: 0.216 data_time: 0.011 memory: 5148 grad_norm: 5.6956 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4429 loss: 2.4429 2022/06/27 20:13:14 - mmengine - INFO - Epoch(train) [11][3120/3757] lr: 1.000e-02 eta: 1 day, 0:38:15 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 5.1183 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1182 loss: 2.1182 2022/06/27 20:13:19 - mmengine - INFO - Epoch(train) [11][3140/3757] lr: 1.000e-02 eta: 1 day, 0:38:07 time: 0.215 data_time: 0.013 memory: 5148 grad_norm: 5.3578 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5091 loss: 2.5091 2022/06/27 20:13:25 - mmengine - INFO - Epoch(train) [11][3160/3757] lr: 1.000e-02 eta: 1 day, 0:38:04 time: 0.205 data_time: 0.026 memory: 5148 grad_norm: 5.7745 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5816 loss: 2.5816 2022/06/27 20:13:30 - mmengine - INFO - Epoch(train) [11][3180/3757] lr: 1.000e-02 eta: 1 day, 0:38:03 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 4.9991 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3993 loss: 2.3993 2022/06/27 20:13:35 - mmengine - INFO - Epoch(train) [11][3200/3757] lr: 1.000e-02 eta: 1 day, 0:37:49 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 5.4814 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4429 loss: 2.4429 2022/06/27 20:13:40 - mmengine - INFO - Epoch(train) [11][3220/3757] lr: 1.000e-02 eta: 1 day, 0:37:43 time: 0.206 data_time: 0.026 memory: 5148 grad_norm: 5.5386 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7886 loss: 2.7886 2022/06/27 20:13:45 - mmengine - INFO - Epoch(train) [11][3240/3757] lr: 1.000e-02 eta: 1 day, 0:37:35 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 5.2887 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4348 loss: 2.4348 2022/06/27 20:13:50 - mmengine - INFO - Epoch(train) [11][3260/3757] lr: 1.000e-02 eta: 1 day, 0:37:32 time: 0.368 data_time: 0.006 memory: 5148 grad_norm: 6.5249 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5530 loss: 2.5530 2022/06/27 20:13:56 - mmengine - INFO - Epoch(train) [11][3280/3757] lr: 1.000e-02 eta: 1 day, 0:37:30 time: 0.218 data_time: 0.036 memory: 5148 grad_norm: 4.5815 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2478 loss: 2.2478 2022/06/27 20:14:01 - mmengine - INFO - Epoch(train) [11][3300/3757] lr: 1.000e-02 eta: 1 day, 0:37:21 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 5.1571 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4373 loss: 2.4373 2022/06/27 20:14:06 - mmengine - INFO - Epoch(train) [11][3320/3757] lr: 1.000e-02 eta: 1 day, 0:37:16 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.5848 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4358 loss: 2.4358 2022/06/27 20:14:12 - mmengine - INFO - Epoch(train) [11][3340/3757] lr: 1.000e-02 eta: 1 day, 0:37:13 time: 0.451 data_time: 0.062 memory: 5148 grad_norm: 5.4933 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3233 loss: 2.3233 2022/06/27 20:14:17 - mmengine - INFO - Epoch(train) [11][3360/3757] lr: 1.000e-02 eta: 1 day, 0:37:10 time: 0.324 data_time: 0.015 memory: 5148 grad_norm: 5.3990 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2287 loss: 2.2287 2022/06/27 20:14:23 - mmengine - INFO - Epoch(train) [11][3380/3757] lr: 1.000e-02 eta: 1 day, 0:37:11 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.2328 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6857 loss: 2.6857 2022/06/27 20:14:28 - mmengine - INFO - Epoch(train) [11][3400/3757] lr: 1.000e-02 eta: 1 day, 0:37:03 time: 0.222 data_time: 0.013 memory: 5148 grad_norm: 5.2400 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4274 loss: 2.4274 2022/06/27 20:14:34 - mmengine - INFO - Epoch(train) [11][3420/3757] lr: 1.000e-02 eta: 1 day, 0:36:58 time: 0.216 data_time: 0.010 memory: 5148 grad_norm: 5.7762 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3068 loss: 2.3068 2022/06/27 20:14:37 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 20:14:39 - mmengine - INFO - Epoch(train) [11][3440/3757] lr: 1.000e-02 eta: 1 day, 0:36:56 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.1964 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5595 loss: 2.5595 2022/06/27 20:14:45 - mmengine - INFO - Epoch(train) [11][3460/3757] lr: 1.000e-02 eta: 1 day, 0:36:49 time: 0.205 data_time: 0.018 memory: 5148 grad_norm: 5.6698 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3063 loss: 2.3063 2022/06/27 20:14:50 - mmengine - INFO - Epoch(train) [11][3480/3757] lr: 1.000e-02 eta: 1 day, 0:36:46 time: 0.207 data_time: 0.024 memory: 5148 grad_norm: 5.9239 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7455 loss: 2.7455 2022/06/27 20:14:55 - mmengine - INFO - Epoch(train) [11][3500/3757] lr: 1.000e-02 eta: 1 day, 0:36:40 time: 0.211 data_time: 0.006 memory: 5148 grad_norm: 5.6505 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3828 loss: 2.3828 2022/06/27 20:15:00 - mmengine - INFO - Epoch(train) [11][3520/3757] lr: 1.000e-02 eta: 1 day, 0:36:30 time: 0.529 data_time: 0.026 memory: 5148 grad_norm: 5.4975 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7048 loss: 2.7048 2022/06/27 20:15:06 - mmengine - INFO - Epoch(train) [11][3540/3757] lr: 1.000e-02 eta: 1 day, 0:36:28 time: 0.217 data_time: 0.006 memory: 5148 grad_norm: 4.9127 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3263 loss: 2.3263 2022/06/27 20:15:12 - mmengine - INFO - Epoch(train) [11][3560/3757] lr: 1.000e-02 eta: 1 day, 0:36:26 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 5.3011 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3541 loss: 2.3541 2022/06/27 20:15:17 - mmengine - INFO - Epoch(train) [11][3580/3757] lr: 1.000e-02 eta: 1 day, 0:36:21 time: 0.692 data_time: 0.012 memory: 5148 grad_norm: 5.5553 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.2257 loss: 2.2257 2022/06/27 20:15:22 - mmengine - INFO - Epoch(train) [11][3600/3757] lr: 1.000e-02 eta: 1 day, 0:36:14 time: 0.231 data_time: 0.008 memory: 5148 grad_norm: 5.5101 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5435 loss: 2.5435 2022/06/27 20:15:27 - mmengine - INFO - Epoch(train) [11][3620/3757] lr: 1.000e-02 eta: 1 day, 0:36:09 time: 0.220 data_time: 0.006 memory: 5148 grad_norm: 5.0560 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5084 loss: 2.5084 2022/06/27 20:15:32 - mmengine - INFO - Epoch(train) [11][3640/3757] lr: 1.000e-02 eta: 1 day, 0:36:02 time: 0.479 data_time: 0.014 memory: 5148 grad_norm: 4.9500 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2971 loss: 2.2971 2022/06/27 20:15:37 - mmengine - INFO - Epoch(train) [11][3660/3757] lr: 1.000e-02 eta: 1 day, 0:35:54 time: 0.229 data_time: 0.007 memory: 5148 grad_norm: 5.7572 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2698 loss: 2.2698 2022/06/27 20:15:43 - mmengine - INFO - Epoch(train) [11][3680/3757] lr: 1.000e-02 eta: 1 day, 0:35:51 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.7166 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6550 loss: 2.6550 2022/06/27 20:15:48 - mmengine - INFO - Epoch(train) [11][3700/3757] lr: 1.000e-02 eta: 1 day, 0:35:46 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.7807 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7269 loss: 2.7269 2022/06/27 20:15:53 - mmengine - INFO - Epoch(train) [11][3720/3757] lr: 1.000e-02 eta: 1 day, 0:35:39 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 5.3596 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6976 loss: 2.6976 2022/06/27 20:15:58 - mmengine - INFO - Epoch(train) [11][3740/3757] lr: 1.000e-02 eta: 1 day, 0:35:31 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 5.4275 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.9044 loss: 2.9044 2022/06/27 20:16:02 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 20:16:08 - mmengine - INFO - Epoch(val) [11][20/310] eta: 0:01:05 time: 0.082 data_time: 0.011 memory: 5148 2022/06/27 20:16:13 - mmengine - INFO - Epoch(val) [11][40/310] eta: 0:00:56 time: 0.080 data_time: 0.009 memory: 1367 2022/06/27 20:16:19 - mmengine - INFO - Epoch(val) [11][60/310] eta: 0:00:54 time: 0.082 data_time: 0.006 memory: 1367 2022/06/27 20:16:23 - mmengine - INFO - Epoch(val) [11][80/310] eta: 0:00:54 time: 0.080 data_time: 0.008 memory: 1367 2022/06/27 20:16:30 - mmengine - INFO - Epoch(val) [11][100/310] eta: 0:00:48 time: 0.076 data_time: 0.005 memory: 1367 2022/06/27 20:16:34 - mmengine - INFO - Epoch(val) [11][120/310] eta: 0:00:39 time: 0.081 data_time: 0.009 memory: 1367 2022/06/27 20:16:41 - mmengine - INFO - Epoch(val) [11][140/310] eta: 0:00:50 time: 0.693 data_time: 0.622 memory: 1367 2022/06/27 20:16:45 - mmengine - INFO - Epoch(val) [11][160/310] eta: 0:00:35 time: 0.258 data_time: 0.186 memory: 1367 2022/06/27 20:16:51 - mmengine - INFO - Epoch(val) [11][180/310] eta: 0:00:44 time: 0.976 data_time: 0.904 memory: 1367 2022/06/27 20:16:56 - mmengine - INFO - Epoch(val) [11][200/310] eta: 0:00:25 time: 0.085 data_time: 0.008 memory: 1367 2022/06/27 20:17:02 - mmengine - INFO - Epoch(val) [11][220/310] eta: 0:00:30 time: 0.129 data_time: 0.056 memory: 1367 2022/06/27 20:17:06 - mmengine - INFO - Epoch(val) [11][240/310] eta: 0:00:14 time: 0.081 data_time: 0.005 memory: 1367 2022/06/27 20:17:12 - mmengine - INFO - Epoch(val) [11][260/310] eta: 0:00:16 time: 0.096 data_time: 0.019 memory: 1367 2022/06/27 20:17:17 - mmengine - INFO - Epoch(val) [11][280/310] eta: 0:00:07 time: 0.078 data_time: 0.006 memory: 1367 2022/06/27 20:17:22 - mmengine - INFO - Epoch(val) [11][300/310] eta: 0:00:03 time: 0.247 data_time: 0.167 memory: 1367 2022/06/27 20:17:25 - mmengine - INFO - Epoch(val) [11][310/310] acc/top1: 0.5075 acc/top5: 0.7676 acc/mean1: 0.5073 2022/06/27 20:17:34 - mmengine - INFO - Epoch(train) [12][20/3757] lr: 1.000e-02 eta: 1 day, 0:35:25 time: 0.196 data_time: 0.012 memory: 5148 grad_norm: 6.0895 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2612 loss: 2.2612 2022/06/27 20:17:39 - mmengine - INFO - Epoch(train) [12][40/3757] lr: 1.000e-02 eta: 1 day, 0:35:22 time: 0.194 data_time: 0.015 memory: 5148 grad_norm: 5.8404 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3825 loss: 2.3825 2022/06/27 20:17:44 - mmengine - INFO - Epoch(train) [12][60/3757] lr: 1.000e-02 eta: 1 day, 0:35:14 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.3397 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2719 loss: 2.2719 2022/06/27 20:17:50 - mmengine - INFO - Epoch(train) [12][80/3757] lr: 1.000e-02 eta: 1 day, 0:35:11 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 6.1355 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6370 loss: 2.6370 2022/06/27 20:17:55 - mmengine - INFO - Epoch(train) [12][100/3757] lr: 1.000e-02 eta: 1 day, 0:35:09 time: 0.526 data_time: 0.007 memory: 5148 grad_norm: 5.6273 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5713 loss: 2.5713 2022/06/27 20:18:00 - mmengine - INFO - Epoch(train) [12][120/3757] lr: 1.000e-02 eta: 1 day, 0:34:58 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.9660 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6941 loss: 2.6941 2022/06/27 20:18:06 - mmengine - INFO - Epoch(train) [12][140/3757] lr: 1.000e-02 eta: 1 day, 0:34:55 time: 0.193 data_time: 0.006 memory: 5148 grad_norm: 5.4640 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2408 loss: 2.2408 2022/06/27 20:18:12 - mmengine - INFO - Epoch(train) [12][160/3757] lr: 1.000e-02 eta: 1 day, 0:34:55 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 4.6922 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1690 loss: 2.1690 2022/06/27 20:18:16 - mmengine - INFO - Epoch(train) [12][180/3757] lr: 1.000e-02 eta: 1 day, 0:34:45 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 5.9559 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8414 loss: 1.8414 2022/06/27 20:18:22 - mmengine - INFO - Epoch(train) [12][200/3757] lr: 1.000e-02 eta: 1 day, 0:34:44 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 5.6619 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1368 loss: 2.1368 2022/06/27 20:18:29 - mmengine - INFO - Epoch(train) [12][220/3757] lr: 1.000e-02 eta: 1 day, 0:34:47 time: 0.237 data_time: 0.008 memory: 5148 grad_norm: 5.4555 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.3343 loss: 2.3343 2022/06/27 20:18:33 - mmengine - INFO - Epoch(train) [12][240/3757] lr: 1.000e-02 eta: 1 day, 0:34:35 time: 0.199 data_time: 0.009 memory: 5148 grad_norm: 5.6442 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2555 loss: 2.2555 2022/06/27 20:18:39 - mmengine - INFO - Epoch(train) [12][260/3757] lr: 1.000e-02 eta: 1 day, 0:34:34 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 5.4014 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1367 loss: 2.1367 2022/06/27 20:18:45 - mmengine - INFO - Epoch(train) [12][280/3757] lr: 1.000e-02 eta: 1 day, 0:34:35 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 5.7657 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2984 loss: 2.2984 2022/06/27 20:18:50 - mmengine - INFO - Epoch(train) [12][300/3757] lr: 1.000e-02 eta: 1 day, 0:34:26 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.4600 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2141 loss: 2.2141 2022/06/27 20:18:56 - mmengine - INFO - Epoch(train) [12][320/3757] lr: 1.000e-02 eta: 1 day, 0:34:26 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.5731 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4326 loss: 2.4326 2022/06/27 20:19:01 - mmengine - INFO - Epoch(train) [12][340/3757] lr: 1.000e-02 eta: 1 day, 0:34:20 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 5.9879 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2059 loss: 2.2059 2022/06/27 20:19:06 - mmengine - INFO - Epoch(train) [12][360/3757] lr: 1.000e-02 eta: 1 day, 0:34:12 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 5.9433 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2571 loss: 2.2571 2022/06/27 20:19:11 - mmengine - INFO - Epoch(train) [12][380/3757] lr: 1.000e-02 eta: 1 day, 0:34:06 time: 0.204 data_time: 0.022 memory: 5148 grad_norm: 5.8387 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4486 loss: 2.4486 2022/06/27 20:19:17 - mmengine - INFO - Epoch(train) [12][400/3757] lr: 1.000e-02 eta: 1 day, 0:34:02 time: 0.200 data_time: 0.012 memory: 5148 grad_norm: 5.3690 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2104 loss: 2.2104 2022/06/27 20:19:21 - mmengine - INFO - Epoch(train) [12][420/3757] lr: 1.000e-02 eta: 1 day, 0:33:51 time: 0.199 data_time: 0.005 memory: 5148 grad_norm: 5.2179 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.8425 loss: 2.8425 2022/06/27 20:19:27 - mmengine - INFO - Epoch(train) [12][440/3757] lr: 1.000e-02 eta: 1 day, 0:33:48 time: 0.190 data_time: 0.013 memory: 5148 grad_norm: 5.3789 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0921 loss: 2.0921 2022/06/27 20:19:33 - mmengine - INFO - Epoch(train) [12][460/3757] lr: 1.000e-02 eta: 1 day, 0:33:48 time: 0.201 data_time: 0.009 memory: 5148 grad_norm: 5.6889 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1853 loss: 2.1853 2022/06/27 20:19:38 - mmengine - INFO - Epoch(train) [12][480/3757] lr: 1.000e-02 eta: 1 day, 0:33:39 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 5.9575 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4755 loss: 2.4755 2022/06/27 20:19:43 - mmengine - INFO - Epoch(train) [12][500/3757] lr: 1.000e-02 eta: 1 day, 0:33:36 time: 0.205 data_time: 0.006 memory: 5148 grad_norm: 5.7669 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3393 loss: 2.3393 2022/06/27 20:19:50 - mmengine - INFO - Epoch(train) [12][520/3757] lr: 1.000e-02 eta: 1 day, 0:33:40 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.6450 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1779 loss: 2.1779 2022/06/27 20:19:54 - mmengine - INFO - Epoch(train) [12][540/3757] lr: 1.000e-02 eta: 1 day, 0:33:25 time: 0.198 data_time: 0.012 memory: 5148 grad_norm: 6.7281 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3221 loss: 2.3221 2022/06/27 20:19:59 - mmengine - INFO - Epoch(train) [12][560/3757] lr: 1.000e-02 eta: 1 day, 0:33:20 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 5.6889 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3042 loss: 2.3042 2022/06/27 20:20:04 - mmengine - INFO - Epoch(train) [12][580/3757] lr: 1.000e-02 eta: 1 day, 0:33:15 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.4607 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4081 loss: 2.4081 2022/06/27 20:20:09 - mmengine - INFO - Epoch(train) [12][600/3757] lr: 1.000e-02 eta: 1 day, 0:33:05 time: 0.202 data_time: 0.009 memory: 5148 grad_norm: 5.8714 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4243 loss: 2.4243 2022/06/27 20:20:15 - mmengine - INFO - Epoch(train) [12][620/3757] lr: 1.000e-02 eta: 1 day, 0:33:04 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 6.1202 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5096 loss: 2.5096 2022/06/27 20:20:21 - mmengine - INFO - Epoch(train) [12][640/3757] lr: 1.000e-02 eta: 1 day, 0:33:02 time: 0.218 data_time: 0.006 memory: 5148 grad_norm: 4.7289 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3052 loss: 2.3052 2022/06/27 20:20:25 - mmengine - INFO - Epoch(train) [12][660/3757] lr: 1.000e-02 eta: 1 day, 0:32:53 time: 0.198 data_time: 0.022 memory: 5148 grad_norm: 6.7644 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4885 loss: 2.4885 2022/06/27 20:20:29 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 20:20:31 - mmengine - INFO - Epoch(train) [12][680/3757] lr: 1.000e-02 eta: 1 day, 0:32:48 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 5.3140 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5299 loss: 2.5299 2022/06/27 20:20:37 - mmengine - INFO - Epoch(train) [12][700/3757] lr: 1.000e-02 eta: 1 day, 0:32:48 time: 0.200 data_time: 0.009 memory: 5148 grad_norm: 5.6635 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.2637 loss: 2.2637 2022/06/27 20:20:41 - mmengine - INFO - Epoch(train) [12][720/3757] lr: 1.000e-02 eta: 1 day, 0:32:37 time: 0.201 data_time: 0.024 memory: 5148 grad_norm: 5.9837 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6753 loss: 2.6753 2022/06/27 20:20:47 - mmengine - INFO - Epoch(train) [12][740/3757] lr: 1.000e-02 eta: 1 day, 0:32:32 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.1515 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6497 loss: 2.6497 2022/06/27 20:20:52 - mmengine - INFO - Epoch(train) [12][760/3757] lr: 1.000e-02 eta: 1 day, 0:32:30 time: 0.214 data_time: 0.006 memory: 5148 grad_norm: 5.8185 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4223 loss: 2.4223 2022/06/27 20:20:57 - mmengine - INFO - Epoch(train) [12][780/3757] lr: 1.000e-02 eta: 1 day, 0:32:16 time: 0.193 data_time: 0.019 memory: 5148 grad_norm: 5.2198 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4067 loss: 2.4067 2022/06/27 20:21:02 - mmengine - INFO - Epoch(train) [12][800/3757] lr: 1.000e-02 eta: 1 day, 0:32:13 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.1340 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7991 loss: 2.7991 2022/06/27 20:21:09 - mmengine - INFO - Epoch(train) [12][820/3757] lr: 1.000e-02 eta: 1 day, 0:32:21 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 5.2016 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8711 loss: 1.8711 2022/06/27 20:21:13 - mmengine - INFO - Epoch(train) [12][840/3757] lr: 1.000e-02 eta: 1 day, 0:32:07 time: 0.212 data_time: 0.019 memory: 5148 grad_norm: 5.8316 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3808 loss: 2.3808 2022/06/27 20:21:19 - mmengine - INFO - Epoch(train) [12][860/3757] lr: 1.000e-02 eta: 1 day, 0:32:01 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 5.4727 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2314 loss: 2.2314 2022/06/27 20:21:24 - mmengine - INFO - Epoch(train) [12][880/3757] lr: 1.000e-02 eta: 1 day, 0:31:58 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.2305 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0620 loss: 2.0620 2022/06/27 20:21:30 - mmengine - INFO - Epoch(train) [12][900/3757] lr: 1.000e-02 eta: 1 day, 0:31:56 time: 0.201 data_time: 0.021 memory: 5148 grad_norm: 5.3583 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2576 loss: 2.2576 2022/06/27 20:21:34 - mmengine - INFO - Epoch(train) [12][920/3757] lr: 1.000e-02 eta: 1 day, 0:31:45 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.9333 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2437 loss: 2.2437 2022/06/27 20:21:40 - mmengine - INFO - Epoch(train) [12][940/3757] lr: 1.000e-02 eta: 1 day, 0:31:42 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 5.6480 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.4465 loss: 2.4465 2022/06/27 20:21:45 - mmengine - INFO - Epoch(train) [12][960/3757] lr: 1.000e-02 eta: 1 day, 0:31:34 time: 0.257 data_time: 0.010 memory: 5148 grad_norm: 5.4380 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2554 loss: 2.2554 2022/06/27 20:21:50 - mmengine - INFO - Epoch(train) [12][980/3757] lr: 1.000e-02 eta: 1 day, 0:31:30 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.5338 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4867 loss: 2.4867 2022/06/27 20:21:56 - mmengine - INFO - Epoch(train) [12][1000/3757] lr: 1.000e-02 eta: 1 day, 0:31:29 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 5.4843 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2016 loss: 2.2016 2022/06/27 20:22:02 - mmengine - INFO - Epoch(train) [12][1020/3757] lr: 1.000e-02 eta: 1 day, 0:31:27 time: 1.265 data_time: 0.025 memory: 5148 grad_norm: 4.9716 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9066 loss: 2.9066 2022/06/27 20:22:07 - mmengine - INFO - Epoch(train) [12][1040/3757] lr: 1.000e-02 eta: 1 day, 0:31:17 time: 0.192 data_time: 0.010 memory: 5148 grad_norm: 5.4409 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1811 loss: 2.1811 2022/06/27 20:22:12 - mmengine - INFO - Epoch(train) [12][1060/3757] lr: 1.000e-02 eta: 1 day, 0:31:12 time: 0.195 data_time: 0.009 memory: 5148 grad_norm: 5.6469 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0109 loss: 2.0109 2022/06/27 20:22:17 - mmengine - INFO - Epoch(train) [12][1080/3757] lr: 1.000e-02 eta: 1 day, 0:31:07 time: 0.337 data_time: 0.018 memory: 5148 grad_norm: 5.1566 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1791 loss: 2.1791 2022/06/27 20:22:23 - mmengine - INFO - Epoch(train) [12][1100/3757] lr: 1.000e-02 eta: 1 day, 0:31:02 time: 0.190 data_time: 0.010 memory: 5148 grad_norm: 5.7526 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3593 loss: 2.3593 2022/06/27 20:22:28 - mmengine - INFO - Epoch(train) [12][1120/3757] lr: 1.000e-02 eta: 1 day, 0:30:58 time: 0.322 data_time: 0.007 memory: 5148 grad_norm: 5.2046 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.6275 loss: 2.6275 2022/06/27 20:22:33 - mmengine - INFO - Epoch(train) [12][1140/3757] lr: 1.000e-02 eta: 1 day, 0:30:50 time: 0.591 data_time: 0.022 memory: 5148 grad_norm: 5.6836 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7970 loss: 1.7970 2022/06/27 20:22:38 - mmengine - INFO - Epoch(train) [12][1160/3757] lr: 1.000e-02 eta: 1 day, 0:30:45 time: 0.299 data_time: 0.008 memory: 5148 grad_norm: 5.5318 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1508 loss: 2.1508 2022/06/27 20:22:44 - mmengine - INFO - Epoch(train) [12][1180/3757] lr: 1.000e-02 eta: 1 day, 0:30:41 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 5.5086 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3878 loss: 2.3878 2022/06/27 20:22:49 - mmengine - INFO - Epoch(train) [12][1200/3757] lr: 1.000e-02 eta: 1 day, 0:30:33 time: 0.205 data_time: 0.025 memory: 5148 grad_norm: 5.6569 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5378 loss: 2.5378 2022/06/27 20:22:54 - mmengine - INFO - Epoch(train) [12][1220/3757] lr: 1.000e-02 eta: 1 day, 0:30:27 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 6.2425 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3367 loss: 2.3367 2022/06/27 20:23:00 - mmengine - INFO - Epoch(train) [12][1240/3757] lr: 1.000e-02 eta: 1 day, 0:30:25 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.2959 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3528 loss: 2.3528 2022/06/27 20:23:05 - mmengine - INFO - Epoch(train) [12][1260/3757] lr: 1.000e-02 eta: 1 day, 0:30:15 time: 0.203 data_time: 0.012 memory: 5148 grad_norm: 5.8164 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0933 loss: 2.0933 2022/06/27 20:23:10 - mmengine - INFO - Epoch(train) [12][1280/3757] lr: 1.000e-02 eta: 1 day, 0:30:13 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.2735 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4173 loss: 2.4173 2022/06/27 20:23:16 - mmengine - INFO - Epoch(train) [12][1300/3757] lr: 1.000e-02 eta: 1 day, 0:30:07 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 5.7632 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4726 loss: 2.4726 2022/06/27 20:23:20 - mmengine - INFO - Epoch(train) [12][1320/3757] lr: 1.000e-02 eta: 1 day, 0:29:58 time: 0.213 data_time: 0.010 memory: 5148 grad_norm: 6.5850 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1188 loss: 2.1188 2022/06/27 20:23:26 - mmengine - INFO - Epoch(train) [12][1340/3757] lr: 1.000e-02 eta: 1 day, 0:29:55 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.4575 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8663 loss: 1.8663 2022/06/27 20:23:31 - mmengine - INFO - Epoch(train) [12][1360/3757] lr: 1.000e-02 eta: 1 day, 0:29:50 time: 0.200 data_time: 0.012 memory: 5148 grad_norm: 5.4899 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2696 loss: 2.2696 2022/06/27 20:23:36 - mmengine - INFO - Epoch(train) [12][1380/3757] lr: 1.000e-02 eta: 1 day, 0:29:42 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 5.5579 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3936 loss: 2.3936 2022/06/27 20:23:42 - mmengine - INFO - Epoch(train) [12][1400/3757] lr: 1.000e-02 eta: 1 day, 0:29:41 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.9230 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3612 loss: 2.3612 2022/06/27 20:23:47 - mmengine - INFO - Epoch(train) [12][1420/3757] lr: 1.000e-02 eta: 1 day, 0:29:34 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 5.5670 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8299 loss: 2.8299 2022/06/27 20:23:52 - mmengine - INFO - Epoch(train) [12][1440/3757] lr: 1.000e-02 eta: 1 day, 0:29:25 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.3532 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0883 loss: 2.0883 2022/06/27 20:23:57 - mmengine - INFO - Epoch(train) [12][1460/3757] lr: 1.000e-02 eta: 1 day, 0:29:20 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 5.8995 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7932 loss: 2.7932 2022/06/27 20:24:03 - mmengine - INFO - Epoch(train) [12][1480/3757] lr: 1.000e-02 eta: 1 day, 0:29:16 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 6.3996 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3597 loss: 2.3597 2022/06/27 20:24:08 - mmengine - INFO - Epoch(train) [12][1500/3757] lr: 1.000e-02 eta: 1 day, 0:29:07 time: 0.322 data_time: 0.006 memory: 5148 grad_norm: 5.7559 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5100 loss: 2.5100 2022/06/27 20:24:13 - mmengine - INFO - Epoch(train) [12][1520/3757] lr: 1.000e-02 eta: 1 day, 0:29:04 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 4.9653 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6190 loss: 2.6190 2022/06/27 20:24:19 - mmengine - INFO - Epoch(train) [12][1540/3757] lr: 1.000e-02 eta: 1 day, 0:29:02 time: 0.227 data_time: 0.007 memory: 5148 grad_norm: 5.6289 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0507 loss: 2.0507 2022/06/27 20:24:24 - mmengine - INFO - Epoch(train) [12][1560/3757] lr: 1.000e-02 eta: 1 day, 0:28:51 time: 0.212 data_time: 0.010 memory: 5148 grad_norm: 4.7869 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0803 loss: 2.0803 2022/06/27 20:24:29 - mmengine - INFO - Epoch(train) [12][1580/3757] lr: 1.000e-02 eta: 1 day, 0:28:46 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.3716 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5576 loss: 2.5576 2022/06/27 20:24:34 - mmengine - INFO - Epoch(train) [12][1600/3757] lr: 1.000e-02 eta: 1 day, 0:28:42 time: 0.205 data_time: 0.014 memory: 5148 grad_norm: 6.0634 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4388 loss: 2.4388 2022/06/27 20:24:41 - mmengine - INFO - Epoch(train) [12][1620/3757] lr: 1.000e-02 eta: 1 day, 0:28:44 time: 0.280 data_time: 0.007 memory: 5148 grad_norm: 5.4421 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2415 loss: 2.2415 2022/06/27 20:24:45 - mmengine - INFO - Epoch(train) [12][1640/3757] lr: 1.000e-02 eta: 1 day, 0:28:29 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.6791 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5280 loss: 2.5280 2022/06/27 20:24:50 - mmengine - INFO - Epoch(train) [12][1660/3757] lr: 1.000e-02 eta: 1 day, 0:28:23 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 5.5206 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3117 loss: 2.3117 2022/06/27 20:24:53 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 20:24:55 - mmengine - INFO - Epoch(train) [12][1680/3757] lr: 1.000e-02 eta: 1 day, 0:28:17 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 5.0256 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.4308 loss: 2.4308 2022/06/27 20:25:00 - mmengine - INFO - Epoch(train) [12][1700/3757] lr: 1.000e-02 eta: 1 day, 0:28:11 time: 0.198 data_time: 0.012 memory: 5148 grad_norm: 5.7514 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1194 loss: 2.1194 2022/06/27 20:25:05 - mmengine - INFO - Epoch(train) [12][1720/3757] lr: 1.000e-02 eta: 1 day, 0:28:03 time: 0.221 data_time: 0.006 memory: 5148 grad_norm: 5.8227 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6782 loss: 2.6782 2022/06/27 20:25:11 - mmengine - INFO - Epoch(train) [12][1740/3757] lr: 1.000e-02 eta: 1 day, 0:27:59 time: 0.207 data_time: 0.021 memory: 5148 grad_norm: 5.9823 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4199 loss: 2.4199 2022/06/27 20:25:16 - mmengine - INFO - Epoch(train) [12][1760/3757] lr: 1.000e-02 eta: 1 day, 0:27:53 time: 0.203 data_time: 0.017 memory: 5148 grad_norm: 5.6594 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9371 loss: 1.9371 2022/06/27 20:25:21 - mmengine - INFO - Epoch(train) [12][1780/3757] lr: 1.000e-02 eta: 1 day, 0:27:45 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 5.0298 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0640 loss: 2.0640 2022/06/27 20:25:26 - mmengine - INFO - Epoch(train) [12][1800/3757] lr: 1.000e-02 eta: 1 day, 0:27:42 time: 0.699 data_time: 0.018 memory: 5148 grad_norm: 5.1397 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0768 loss: 2.0768 2022/06/27 20:25:32 - mmengine - INFO - Epoch(train) [12][1820/3757] lr: 1.000e-02 eta: 1 day, 0:27:36 time: 0.202 data_time: 0.023 memory: 5148 grad_norm: 5.9430 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1631 loss: 2.1631 2022/06/27 20:25:37 - mmengine - INFO - Epoch(train) [12][1840/3757] lr: 1.000e-02 eta: 1 day, 0:27:32 time: 0.190 data_time: 0.007 memory: 5148 grad_norm: 4.7810 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4049 loss: 2.4049 2022/06/27 20:25:42 - mmengine - INFO - Epoch(train) [12][1860/3757] lr: 1.000e-02 eta: 1 day, 0:27:26 time: 0.342 data_time: 0.007 memory: 5148 grad_norm: 4.9416 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5241 loss: 2.5241 2022/06/27 20:25:48 - mmengine - INFO - Epoch(train) [12][1880/3757] lr: 1.000e-02 eta: 1 day, 0:27:22 time: 0.725 data_time: 0.545 memory: 5148 grad_norm: 5.7064 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.7269 loss: 2.7269 2022/06/27 20:25:53 - mmengine - INFO - Epoch(train) [12][1900/3757] lr: 1.000e-02 eta: 1 day, 0:27:14 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 5.1412 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2388 loss: 2.2388 2022/06/27 20:25:58 - mmengine - INFO - Epoch(train) [12][1920/3757] lr: 1.000e-02 eta: 1 day, 0:27:09 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.2059 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2804 loss: 2.2804 2022/06/27 20:26:03 - mmengine - INFO - Epoch(train) [12][1940/3757] lr: 1.000e-02 eta: 1 day, 0:27:05 time: 0.590 data_time: 0.414 memory: 5148 grad_norm: 6.0012 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3218 loss: 2.3218 2022/06/27 20:26:09 - mmengine - INFO - Epoch(train) [12][1960/3757] lr: 1.000e-02 eta: 1 day, 0:27:00 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 4.6654 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2755 loss: 2.2755 2022/06/27 20:26:14 - mmengine - INFO - Epoch(train) [12][1980/3757] lr: 1.000e-02 eta: 1 day, 0:26:55 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 5.4419 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7559 loss: 2.7559 2022/06/27 20:26:19 - mmengine - INFO - Epoch(train) [12][2000/3757] lr: 1.000e-02 eta: 1 day, 0:26:50 time: 0.218 data_time: 0.037 memory: 5148 grad_norm: 5.7000 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4980 loss: 2.4980 2022/06/27 20:26:25 - mmengine - INFO - Epoch(train) [12][2020/3757] lr: 1.000e-02 eta: 1 day, 0:26:44 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 4.9761 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6781 loss: 2.6781 2022/06/27 20:26:30 - mmengine - INFO - Epoch(train) [12][2040/3757] lr: 1.000e-02 eta: 1 day, 0:26:37 time: 0.208 data_time: 0.006 memory: 5148 grad_norm: 4.9603 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1982 loss: 2.1982 2022/06/27 20:26:35 - mmengine - INFO - Epoch(train) [12][2060/3757] lr: 1.000e-02 eta: 1 day, 0:26:33 time: 0.193 data_time: 0.017 memory: 5148 grad_norm: 6.0479 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2073 loss: 2.2073 2022/06/27 20:26:40 - mmengine - INFO - Epoch(train) [12][2080/3757] lr: 1.000e-02 eta: 1 day, 0:26:27 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.2017 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3046 loss: 2.3046 2022/06/27 20:26:46 - mmengine - INFO - Epoch(train) [12][2100/3757] lr: 1.000e-02 eta: 1 day, 0:26:22 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 4.9171 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5628 loss: 2.5628 2022/06/27 20:26:52 - mmengine - INFO - Epoch(train) [12][2120/3757] lr: 1.000e-02 eta: 1 day, 0:26:22 time: 0.203 data_time: 0.027 memory: 5148 grad_norm: 5.1826 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1575 loss: 2.1575 2022/06/27 20:26:56 - mmengine - INFO - Epoch(train) [12][2140/3757] lr: 1.000e-02 eta: 1 day, 0:26:11 time: 0.192 data_time: 0.006 memory: 5148 grad_norm: 5.2617 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8561 loss: 1.8561 2022/06/27 20:27:02 - mmengine - INFO - Epoch(train) [12][2160/3757] lr: 1.000e-02 eta: 1 day, 0:26:06 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 6.2618 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5580 loss: 2.5580 2022/06/27 20:27:07 - mmengine - INFO - Epoch(train) [12][2180/3757] lr: 1.000e-02 eta: 1 day, 0:26:02 time: 0.207 data_time: 0.028 memory: 5148 grad_norm: 5.7104 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6253 loss: 2.6253 2022/06/27 20:27:13 - mmengine - INFO - Epoch(train) [12][2200/3757] lr: 1.000e-02 eta: 1 day, 0:25:58 time: 0.206 data_time: 0.013 memory: 5148 grad_norm: 5.9430 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9523 loss: 1.9523 2022/06/27 20:27:17 - mmengine - INFO - Epoch(train) [12][2220/3757] lr: 1.000e-02 eta: 1 day, 0:25:48 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 5.7123 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4066 loss: 2.4066 2022/06/27 20:27:23 - mmengine - INFO - Epoch(train) [12][2240/3757] lr: 1.000e-02 eta: 1 day, 0:25:42 time: 0.203 data_time: 0.024 memory: 5148 grad_norm: 5.7023 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3442 loss: 2.3442 2022/06/27 20:27:28 - mmengine - INFO - Epoch(train) [12][2260/3757] lr: 1.000e-02 eta: 1 day, 0:25:39 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 5.4785 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5036 loss: 2.5036 2022/06/27 20:27:33 - mmengine - INFO - Epoch(train) [12][2280/3757] lr: 1.000e-02 eta: 1 day, 0:25:30 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 6.1781 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2630 loss: 2.2630 2022/06/27 20:27:38 - mmengine - INFO - Epoch(train) [12][2300/3757] lr: 1.000e-02 eta: 1 day, 0:25:22 time: 0.203 data_time: 0.031 memory: 5148 grad_norm: 6.0751 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3813 loss: 2.3813 2022/06/27 20:27:43 - mmengine - INFO - Epoch(train) [12][2320/3757] lr: 1.000e-02 eta: 1 day, 0:25:19 time: 0.193 data_time: 0.008 memory: 5148 grad_norm: 5.4098 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2543 loss: 2.2543 2022/06/27 20:27:49 - mmengine - INFO - Epoch(train) [12][2340/3757] lr: 1.000e-02 eta: 1 day, 0:25:16 time: 0.191 data_time: 0.010 memory: 5148 grad_norm: 5.2482 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2863 loss: 2.2863 2022/06/27 20:27:54 - mmengine - INFO - Epoch(train) [12][2360/3757] lr: 1.000e-02 eta: 1 day, 0:25:05 time: 0.239 data_time: 0.059 memory: 5148 grad_norm: 4.8110 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2986 loss: 2.2986 2022/06/27 20:27:59 - mmengine - INFO - Epoch(train) [12][2380/3757] lr: 1.000e-02 eta: 1 day, 0:24:57 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.2241 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3428 loss: 2.3428 2022/06/27 20:28:04 - mmengine - INFO - Epoch(train) [12][2400/3757] lr: 1.000e-02 eta: 1 day, 0:24:56 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.5621 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2678 loss: 2.2678 2022/06/27 20:28:10 - mmengine - INFO - Epoch(train) [12][2420/3757] lr: 1.000e-02 eta: 1 day, 0:24:53 time: 0.807 data_time: 0.634 memory: 5148 grad_norm: 5.5784 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5156 loss: 2.5156 2022/06/27 20:28:15 - mmengine - INFO - Epoch(train) [12][2440/3757] lr: 1.000e-02 eta: 1 day, 0:24:43 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.4700 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9872 loss: 1.9872 2022/06/27 20:28:20 - mmengine - INFO - Epoch(train) [12][2460/3757] lr: 1.000e-02 eta: 1 day, 0:24:37 time: 0.207 data_time: 0.006 memory: 5148 grad_norm: 5.9297 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5281 loss: 2.5281 2022/06/27 20:28:25 - mmengine - INFO - Epoch(train) [12][2480/3757] lr: 1.000e-02 eta: 1 day, 0:24:33 time: 0.472 data_time: 0.295 memory: 5148 grad_norm: 5.2984 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3294 loss: 2.3294 2022/06/27 20:28:31 - mmengine - INFO - Epoch(train) [12][2500/3757] lr: 1.000e-02 eta: 1 day, 0:24:30 time: 0.193 data_time: 0.008 memory: 5148 grad_norm: 5.7390 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3822 loss: 2.3822 2022/06/27 20:28:36 - mmengine - INFO - Epoch(train) [12][2520/3757] lr: 1.000e-02 eta: 1 day, 0:24:24 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 4.8438 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3763 loss: 2.3763 2022/06/27 20:28:42 - mmengine - INFO - Epoch(train) [12][2540/3757] lr: 1.000e-02 eta: 1 day, 0:24:22 time: 0.884 data_time: 0.706 memory: 5148 grad_norm: 5.2890 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0821 loss: 2.0821 2022/06/27 20:28:46 - mmengine - INFO - Epoch(train) [12][2560/3757] lr: 1.000e-02 eta: 1 day, 0:24:11 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 4.9769 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1203 loss: 2.1203 2022/06/27 20:28:52 - mmengine - INFO - Epoch(train) [12][2580/3757] lr: 1.000e-02 eta: 1 day, 0:24:08 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 5.6737 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5018 loss: 2.5018 2022/06/27 20:28:58 - mmengine - INFO - Epoch(train) [12][2600/3757] lr: 1.000e-02 eta: 1 day, 0:24:05 time: 0.632 data_time: 0.460 memory: 5148 grad_norm: 5.4156 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0037 loss: 2.0037 2022/06/27 20:29:03 - mmengine - INFO - Epoch(train) [12][2620/3757] lr: 1.000e-02 eta: 1 day, 0:23:57 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 5.1066 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4187 loss: 2.4187 2022/06/27 20:29:08 - mmengine - INFO - Epoch(train) [12][2640/3757] lr: 1.000e-02 eta: 1 day, 0:23:50 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.4206 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5115 loss: 2.5115 2022/06/27 20:29:14 - mmengine - INFO - Epoch(train) [12][2660/3757] lr: 1.000e-02 eta: 1 day, 0:23:49 time: 0.670 data_time: 0.499 memory: 5148 grad_norm: 5.9618 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5294 loss: 2.5294 2022/06/27 20:29:17 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 20:29:19 - mmengine - INFO - Epoch(train) [12][2680/3757] lr: 1.000e-02 eta: 1 day, 0:23:46 time: 0.247 data_time: 0.009 memory: 5148 grad_norm: 5.5638 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1791 loss: 2.1791 2022/06/27 20:29:24 - mmengine - INFO - Epoch(train) [12][2700/3757] lr: 1.000e-02 eta: 1 day, 0:23:38 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 5.2952 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2737 loss: 2.2737 2022/06/27 20:29:30 - mmengine - INFO - Epoch(train) [12][2720/3757] lr: 1.000e-02 eta: 1 day, 0:23:35 time: 0.255 data_time: 0.080 memory: 5148 grad_norm: 5.4818 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4396 loss: 2.4396 2022/06/27 20:29:35 - mmengine - INFO - Epoch(train) [12][2740/3757] lr: 1.000e-02 eta: 1 day, 0:23:30 time: 0.190 data_time: 0.007 memory: 5148 grad_norm: 6.0276 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.7246 loss: 2.7246 2022/06/27 20:29:40 - mmengine - INFO - Epoch(train) [12][2760/3757] lr: 1.000e-02 eta: 1 day, 0:23:25 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 4.7946 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4067 loss: 2.4067 2022/06/27 20:29:45 - mmengine - INFO - Epoch(train) [12][2780/3757] lr: 1.000e-02 eta: 1 day, 0:23:18 time: 0.232 data_time: 0.051 memory: 5148 grad_norm: 5.4971 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3128 loss: 2.3128 2022/06/27 20:29:52 - mmengine - INFO - Epoch(train) [12][2800/3757] lr: 1.000e-02 eta: 1 day, 0:23:19 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 4.8799 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2612 loss: 2.2612 2022/06/27 20:29:56 - mmengine - INFO - Epoch(train) [12][2820/3757] lr: 1.000e-02 eta: 1 day, 0:23:07 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 5.2999 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5488 loss: 2.5488 2022/06/27 20:30:02 - mmengine - INFO - Epoch(train) [12][2840/3757] lr: 1.000e-02 eta: 1 day, 0:23:05 time: 0.206 data_time: 0.029 memory: 5148 grad_norm: 5.2823 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4415 loss: 2.4415 2022/06/27 20:30:07 - mmengine - INFO - Epoch(train) [12][2860/3757] lr: 1.000e-02 eta: 1 day, 0:23:02 time: 0.196 data_time: 0.012 memory: 5148 grad_norm: 5.5540 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5764 loss: 2.5764 2022/06/27 20:30:12 - mmengine - INFO - Epoch(train) [12][2880/3757] lr: 1.000e-02 eta: 1 day, 0:22:54 time: 0.190 data_time: 0.010 memory: 5148 grad_norm: 5.1931 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2063 loss: 2.2063 2022/06/27 20:30:18 - mmengine - INFO - Epoch(train) [12][2900/3757] lr: 1.000e-02 eta: 1 day, 0:22:52 time: 0.196 data_time: 0.017 memory: 5148 grad_norm: 5.1862 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2947 loss: 2.2947 2022/06/27 20:30:23 - mmengine - INFO - Epoch(train) [12][2920/3757] lr: 1.000e-02 eta: 1 day, 0:22:46 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 5.8537 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.1362 loss: 2.1362 2022/06/27 20:30:28 - mmengine - INFO - Epoch(train) [12][2940/3757] lr: 1.000e-02 eta: 1 day, 0:22:38 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.1019 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3452 loss: 2.3452 2022/06/27 20:30:33 - mmengine - INFO - Epoch(train) [12][2960/3757] lr: 1.000e-02 eta: 1 day, 0:22:32 time: 0.198 data_time: 0.015 memory: 5148 grad_norm: 5.7983 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6652 loss: 2.6652 2022/06/27 20:30:39 - mmengine - INFO - Epoch(train) [12][2980/3757] lr: 1.000e-02 eta: 1 day, 0:22:30 time: 0.358 data_time: 0.006 memory: 5148 grad_norm: 5.7010 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0570 loss: 2.0570 2022/06/27 20:30:44 - mmengine - INFO - Epoch(train) [12][3000/3757] lr: 1.000e-02 eta: 1 day, 0:22:20 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 5.6894 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3958 loss: 2.3958 2022/06/27 20:30:49 - mmengine - INFO - Epoch(train) [12][3020/3757] lr: 1.000e-02 eta: 1 day, 0:22:16 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 5.1803 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5384 loss: 2.5384 2022/06/27 20:30:55 - mmengine - INFO - Epoch(train) [12][3040/3757] lr: 1.000e-02 eta: 1 day, 0:22:11 time: 0.186 data_time: 0.006 memory: 5148 grad_norm: 5.7154 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.2362 loss: 2.2362 2022/06/27 20:31:00 - mmengine - INFO - Epoch(train) [12][3060/3757] lr: 1.000e-02 eta: 1 day, 0:22:04 time: 0.210 data_time: 0.006 memory: 5148 grad_norm: 5.3942 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3055 loss: 2.3055 2022/06/27 20:31:05 - mmengine - INFO - Epoch(train) [12][3080/3757] lr: 1.000e-02 eta: 1 day, 0:21:59 time: 0.199 data_time: 0.013 memory: 5148 grad_norm: 6.0958 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2655 loss: 2.2655 2022/06/27 20:31:11 - mmengine - INFO - Epoch(train) [12][3100/3757] lr: 1.000e-02 eta: 1 day, 0:21:57 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 5.2000 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3393 loss: 2.3393 2022/06/27 20:31:15 - mmengine - INFO - Epoch(train) [12][3120/3757] lr: 1.000e-02 eta: 1 day, 0:21:46 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 6.1469 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9733 loss: 1.9733 2022/06/27 20:31:21 - mmengine - INFO - Epoch(train) [12][3140/3757] lr: 1.000e-02 eta: 1 day, 0:21:43 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 4.7496 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6001 loss: 2.6001 2022/06/27 20:31:26 - mmengine - INFO - Epoch(train) [12][3160/3757] lr: 1.000e-02 eta: 1 day, 0:21:39 time: 0.191 data_time: 0.010 memory: 5148 grad_norm: 5.1846 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3025 loss: 2.3025 2022/06/27 20:31:31 - mmengine - INFO - Epoch(train) [12][3180/3757] lr: 1.000e-02 eta: 1 day, 0:21:28 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 4.2271 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1704 loss: 2.1704 2022/06/27 20:31:37 - mmengine - INFO - Epoch(train) [12][3200/3757] lr: 1.000e-02 eta: 1 day, 0:21:28 time: 0.199 data_time: 0.014 memory: 5148 grad_norm: 5.7395 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6181 loss: 2.6181 2022/06/27 20:31:42 - mmengine - INFO - Epoch(train) [12][3220/3757] lr: 1.000e-02 eta: 1 day, 0:21:25 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 6.2803 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3008 loss: 2.3008 2022/06/27 20:31:47 - mmengine - INFO - Epoch(train) [12][3240/3757] lr: 1.000e-02 eta: 1 day, 0:21:18 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 5.9447 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1306 loss: 2.1306 2022/06/27 20:31:53 - mmengine - INFO - Epoch(train) [12][3260/3757] lr: 1.000e-02 eta: 1 day, 0:21:14 time: 0.201 data_time: 0.019 memory: 5148 grad_norm: 5.1858 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4349 loss: 2.4349 2022/06/27 20:31:58 - mmengine - INFO - Epoch(train) [12][3280/3757] lr: 1.000e-02 eta: 1 day, 0:21:09 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 4.8358 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.3822 loss: 2.3822 2022/06/27 20:32:03 - mmengine - INFO - Epoch(train) [12][3300/3757] lr: 1.000e-02 eta: 1 day, 0:21:00 time: 0.199 data_time: 0.012 memory: 5148 grad_norm: 5.5972 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2901 loss: 2.2901 2022/06/27 20:32:09 - mmengine - INFO - Epoch(train) [12][3320/3757] lr: 1.000e-02 eta: 1 day, 0:20:57 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.4573 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3482 loss: 2.3482 2022/06/27 20:32:14 - mmengine - INFO - Epoch(train) [12][3340/3757] lr: 1.000e-02 eta: 1 day, 0:20:53 time: 0.195 data_time: 0.009 memory: 5148 grad_norm: 5.3624 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5416 loss: 2.5416 2022/06/27 20:32:19 - mmengine - INFO - Epoch(train) [12][3360/3757] lr: 1.000e-02 eta: 1 day, 0:20:46 time: 0.441 data_time: 0.010 memory: 5148 grad_norm: 4.8149 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3321 loss: 2.3321 2022/06/27 20:32:25 - mmengine - INFO - Epoch(train) [12][3380/3757] lr: 1.000e-02 eta: 1 day, 0:20:42 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.2954 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1850 loss: 2.1850 2022/06/27 20:32:30 - mmengine - INFO - Epoch(train) [12][3400/3757] lr: 1.000e-02 eta: 1 day, 0:20:38 time: 0.194 data_time: 0.009 memory: 5148 grad_norm: 5.6436 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4070 loss: 2.4070 2022/06/27 20:32:35 - mmengine - INFO - Epoch(train) [12][3420/3757] lr: 1.000e-02 eta: 1 day, 0:20:31 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 5.3376 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5981 loss: 2.5981 2022/06/27 20:32:41 - mmengine - INFO - Epoch(train) [12][3440/3757] lr: 1.000e-02 eta: 1 day, 0:20:30 time: 0.189 data_time: 0.010 memory: 5148 grad_norm: 5.3377 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.6875 loss: 2.6875 2022/06/27 20:32:46 - mmengine - INFO - Epoch(train) [12][3460/3757] lr: 1.000e-02 eta: 1 day, 0:20:22 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 6.3426 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9589 loss: 1.9589 2022/06/27 20:32:51 - mmengine - INFO - Epoch(train) [12][3480/3757] lr: 1.000e-02 eta: 1 day, 0:20:15 time: 0.191 data_time: 0.012 memory: 5148 grad_norm: 5.0376 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5731 loss: 2.5731 2022/06/27 20:32:57 - mmengine - INFO - Epoch(train) [12][3500/3757] lr: 1.000e-02 eta: 1 day, 0:20:13 time: 0.188 data_time: 0.007 memory: 5148 grad_norm: 6.0438 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1786 loss: 2.1786 2022/06/27 20:33:03 - mmengine - INFO - Epoch(train) [12][3520/3757] lr: 1.000e-02 eta: 1 day, 0:20:13 time: 0.195 data_time: 0.006 memory: 5148 grad_norm: 5.5361 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5858 loss: 2.5858 2022/06/27 20:33:08 - mmengine - INFO - Epoch(train) [12][3540/3757] lr: 1.000e-02 eta: 1 day, 0:20:05 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.5510 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3364 loss: 2.3364 2022/06/27 20:33:14 - mmengine - INFO - Epoch(train) [12][3560/3757] lr: 1.000e-02 eta: 1 day, 0:20:03 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.6561 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3612 loss: 2.3612 2022/06/27 20:33:19 - mmengine - INFO - Epoch(train) [12][3580/3757] lr: 1.000e-02 eta: 1 day, 0:19:56 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.1078 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9194 loss: 2.9194 2022/06/27 20:33:24 - mmengine - INFO - Epoch(train) [12][3600/3757] lr: 1.000e-02 eta: 1 day, 0:19:48 time: 0.191 data_time: 0.014 memory: 5148 grad_norm: 5.6248 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2428 loss: 2.2428 2022/06/27 20:33:30 - mmengine - INFO - Epoch(train) [12][3620/3757] lr: 1.000e-02 eta: 1 day, 0:19:47 time: 0.196 data_time: 0.009 memory: 5148 grad_norm: 6.2436 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2971 loss: 2.2971 2022/06/27 20:33:35 - mmengine - INFO - Epoch(train) [12][3640/3757] lr: 1.000e-02 eta: 1 day, 0:19:42 time: 0.191 data_time: 0.010 memory: 5148 grad_norm: 5.1625 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7514 loss: 2.7514 2022/06/27 20:33:40 - mmengine - INFO - Epoch(train) [12][3660/3757] lr: 1.000e-02 eta: 1 day, 0:19:34 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 5.5395 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2396 loss: 2.2396 2022/06/27 20:33:43 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 20:33:45 - mmengine - INFO - Epoch(train) [12][3680/3757] lr: 1.000e-02 eta: 1 day, 0:19:30 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 5.4434 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3576 loss: 2.3576 2022/06/27 20:33:51 - mmengine - INFO - Epoch(train) [12][3700/3757] lr: 1.000e-02 eta: 1 day, 0:19:25 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 4.8692 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9684 loss: 1.9684 2022/06/27 20:33:56 - mmengine - INFO - Epoch(train) [12][3720/3757] lr: 1.000e-02 eta: 1 day, 0:19:18 time: 0.191 data_time: 0.009 memory: 5148 grad_norm: 4.7619 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3705 loss: 2.3705 2022/06/27 20:34:01 - mmengine - INFO - Epoch(train) [12][3740/3757] lr: 1.000e-02 eta: 1 day, 0:19:15 time: 0.197 data_time: 0.016 memory: 5148 grad_norm: 5.3416 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1953 loss: 2.1953 2022/06/27 20:34:04 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 20:34:11 - mmengine - INFO - Epoch(val) [12][20/310] eta: 0:01:04 time: 0.112 data_time: 0.042 memory: 5148 2022/06/27 20:34:16 - mmengine - INFO - Epoch(val) [12][40/310] eta: 0:01:00 time: 0.080 data_time: 0.008 memory: 1367 2022/06/27 20:34:21 - mmengine - INFO - Epoch(val) [12][60/310] eta: 0:01:01 time: 0.387 data_time: 0.315 memory: 1367 2022/06/27 20:34:26 - mmengine - INFO - Epoch(val) [12][80/310] eta: 0:00:57 time: 0.110 data_time: 0.039 memory: 1367 2022/06/27 20:34:32 - mmengine - INFO - Epoch(val) [12][100/310] eta: 0:00:57 time: 0.604 data_time: 0.528 memory: 1367 2022/06/27 20:34:37 - mmengine - INFO - Epoch(val) [12][120/310] eta: 0:00:50 time: 0.465 data_time: 0.393 memory: 1367 2022/06/27 20:34:43 - mmengine - INFO - Epoch(val) [12][140/310] eta: 0:00:58 time: 1.184 data_time: 1.103 memory: 1367 2022/06/27 20:34:48 - mmengine - INFO - Epoch(val) [12][160/310] eta: 0:00:40 time: 0.576 data_time: 0.504 memory: 1367 2022/06/27 20:34:54 - mmengine - INFO - Epoch(val) [12][180/310] eta: 0:00:43 time: 0.968 data_time: 0.891 memory: 1367 2022/06/27 20:34:58 - mmengine - INFO - Epoch(val) [12][200/310] eta: 0:00:29 time: 0.470 data_time: 0.399 memory: 1367 2022/06/27 20:35:04 - mmengine - INFO - Epoch(val) [12][220/310] eta: 0:00:31 time: 0.799 data_time: 0.723 memory: 1367 2022/06/27 20:35:09 - mmengine - INFO - Epoch(val) [12][240/310] eta: 0:00:16 time: 0.308 data_time: 0.231 memory: 1367 2022/06/27 20:35:14 - mmengine - INFO - Epoch(val) [12][260/310] eta: 0:00:17 time: 0.481 data_time: 0.404 memory: 1367 2022/06/27 20:35:19 - mmengine - INFO - Epoch(val) [12][280/310] eta: 0:00:06 time: 0.161 data_time: 0.086 memory: 1367 2022/06/27 20:35:25 - mmengine - INFO - Epoch(val) [12][300/310] eta: 0:00:03 time: 0.543 data_time: 0.466 memory: 1367 2022/06/27 20:35:27 - mmengine - INFO - Epoch(val) [12][310/310] acc/top1: 0.5098 acc/top5: 0.7689 acc/mean1: 0.5095 2022/06/27 20:35:36 - mmengine - INFO - Epoch(train) [13][20/3757] lr: 1.000e-02 eta: 1 day, 0:19:08 time: 0.187 data_time: 0.007 memory: 5148 grad_norm: 5.7493 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3673 loss: 2.3673 2022/06/27 20:35:41 - mmengine - INFO - Epoch(train) [13][40/3757] lr: 1.000e-02 eta: 1 day, 0:19:05 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.3982 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4905 loss: 2.4905 2022/06/27 20:35:46 - mmengine - INFO - Epoch(train) [13][60/3757] lr: 1.000e-02 eta: 1 day, 0:18:54 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.9863 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8057 loss: 2.8057 2022/06/27 20:35:52 - mmengine - INFO - Epoch(train) [13][80/3757] lr: 1.000e-02 eta: 1 day, 0:18:54 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.0455 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3920 loss: 2.3920 2022/06/27 20:35:57 - mmengine - INFO - Epoch(train) [13][100/3757] lr: 1.000e-02 eta: 1 day, 0:18:51 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 5.4451 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4652 loss: 2.4652 2022/06/27 20:36:02 - mmengine - INFO - Epoch(train) [13][120/3757] lr: 1.000e-02 eta: 1 day, 0:18:41 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 5.6977 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8701 loss: 1.8701 2022/06/27 20:36:08 - mmengine - INFO - Epoch(train) [13][140/3757] lr: 1.000e-02 eta: 1 day, 0:18:39 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.7540 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7778 loss: 2.7778 2022/06/27 20:36:13 - mmengine - INFO - Epoch(train) [13][160/3757] lr: 1.000e-02 eta: 1 day, 0:18:35 time: 0.209 data_time: 0.006 memory: 5148 grad_norm: 5.2778 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4572 loss: 2.4572 2022/06/27 20:36:18 - mmengine - INFO - Epoch(train) [13][180/3757] lr: 1.000e-02 eta: 1 day, 0:18:25 time: 0.190 data_time: 0.009 memory: 5148 grad_norm: 7.0092 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6103 loss: 2.6103 2022/06/27 20:36:23 - mmengine - INFO - Epoch(train) [13][200/3757] lr: 1.000e-02 eta: 1 day, 0:18:21 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 6.2881 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2421 loss: 2.2421 2022/06/27 20:36:29 - mmengine - INFO - Epoch(train) [13][220/3757] lr: 1.000e-02 eta: 1 day, 0:18:17 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 6.0230 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1052 loss: 2.1052 2022/06/27 20:36:34 - mmengine - INFO - Epoch(train) [13][240/3757] lr: 1.000e-02 eta: 1 day, 0:18:10 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.2535 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6248 loss: 1.6248 2022/06/27 20:36:40 - mmengine - INFO - Epoch(train) [13][260/3757] lr: 1.000e-02 eta: 1 day, 0:18:07 time: 0.281 data_time: 0.007 memory: 5148 grad_norm: 6.2066 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1299 loss: 2.1299 2022/06/27 20:36:46 - mmengine - INFO - Epoch(train) [13][280/3757] lr: 1.000e-02 eta: 1 day, 0:18:08 time: 0.218 data_time: 0.006 memory: 5148 grad_norm: 6.5075 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3933 loss: 2.3933 2022/06/27 20:36:50 - mmengine - INFO - Epoch(train) [13][300/3757] lr: 1.000e-02 eta: 1 day, 0:17:54 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.4868 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2898 loss: 2.2898 2022/06/27 20:36:55 - mmengine - INFO - Epoch(train) [13][320/3757] lr: 1.000e-02 eta: 1 day, 0:17:49 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.2507 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0546 loss: 2.0546 2022/06/27 20:37:01 - mmengine - INFO - Epoch(train) [13][340/3757] lr: 1.000e-02 eta: 1 day, 0:17:48 time: 0.211 data_time: 0.006 memory: 5148 grad_norm: 5.5553 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.1262 loss: 2.1262 2022/06/27 20:37:05 - mmengine - INFO - Epoch(train) [13][360/3757] lr: 1.000e-02 eta: 1 day, 0:17:35 time: 0.193 data_time: 0.006 memory: 5148 grad_norm: 5.5408 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4853 loss: 2.4853 2022/06/27 20:37:12 - mmengine - INFO - Epoch(train) [13][380/3757] lr: 1.000e-02 eta: 1 day, 0:17:37 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 5.4650 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1687 loss: 2.1687 2022/06/27 20:37:17 - mmengine - INFO - Epoch(train) [13][400/3757] lr: 1.000e-02 eta: 1 day, 0:17:29 time: 0.223 data_time: 0.006 memory: 5148 grad_norm: 5.5183 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6287 loss: 2.6287 2022/06/27 20:37:22 - mmengine - INFO - Epoch(train) [13][420/3757] lr: 1.000e-02 eta: 1 day, 0:17:23 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.3681 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.2053 loss: 2.2053 2022/06/27 20:37:28 - mmengine - INFO - Epoch(train) [13][440/3757] lr: 1.000e-02 eta: 1 day, 0:17:21 time: 0.221 data_time: 0.017 memory: 5148 grad_norm: 5.5515 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2678 loss: 2.2678 2022/06/27 20:37:33 - mmengine - INFO - Epoch(train) [13][460/3757] lr: 1.000e-02 eta: 1 day, 0:17:16 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 5.2172 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5132 loss: 2.5132 2022/06/27 20:37:38 - mmengine - INFO - Epoch(train) [13][480/3757] lr: 1.000e-02 eta: 1 day, 0:17:09 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 5.6557 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2509 loss: 2.2509 2022/06/27 20:37:43 - mmengine - INFO - Epoch(train) [13][500/3757] lr: 1.000e-02 eta: 1 day, 0:17:04 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 5.6085 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1747 loss: 2.1747 2022/06/27 20:37:48 - mmengine - INFO - Epoch(train) [13][520/3757] lr: 1.000e-02 eta: 1 day, 0:16:55 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.8795 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.3991 loss: 2.3991 2022/06/27 20:37:53 - mmengine - INFO - Epoch(train) [13][540/3757] lr: 1.000e-02 eta: 1 day, 0:16:47 time: 0.214 data_time: 0.013 memory: 5148 grad_norm: 5.4839 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0806 loss: 2.0806 2022/06/27 20:37:58 - mmengine - INFO - Epoch(train) [13][560/3757] lr: 1.000e-02 eta: 1 day, 0:16:42 time: 0.202 data_time: 0.023 memory: 5148 grad_norm: 5.6610 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1478 loss: 2.1478 2022/06/27 20:38:04 - mmengine - INFO - Epoch(train) [13][580/3757] lr: 1.000e-02 eta: 1 day, 0:16:37 time: 0.196 data_time: 0.013 memory: 5148 grad_norm: 6.3415 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5902 loss: 2.5902 2022/06/27 20:38:08 - mmengine - INFO - Epoch(train) [13][600/3757] lr: 1.000e-02 eta: 1 day, 0:16:26 time: 0.193 data_time: 0.009 memory: 5148 grad_norm: 4.8102 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5204 loss: 2.5204 2022/06/27 20:38:14 - mmengine - INFO - Epoch(train) [13][620/3757] lr: 1.000e-02 eta: 1 day, 0:16:22 time: 0.202 data_time: 0.024 memory: 5148 grad_norm: 6.0369 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1708 loss: 2.1708 2022/06/27 20:38:19 - mmengine - INFO - Epoch(train) [13][640/3757] lr: 1.000e-02 eta: 1 day, 0:16:15 time: 0.191 data_time: 0.009 memory: 5148 grad_norm: 5.2046 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3397 loss: 2.3397 2022/06/27 20:38:24 - mmengine - INFO - Epoch(train) [13][660/3757] lr: 1.000e-02 eta: 1 day, 0:16:08 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.5024 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3732 loss: 2.3732 2022/06/27 20:38:30 - mmengine - INFO - Epoch(train) [13][680/3757] lr: 1.000e-02 eta: 1 day, 0:16:07 time: 0.281 data_time: 0.017 memory: 5148 grad_norm: 4.3542 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0020 loss: 2.0020 2022/06/27 20:38:35 - mmengine - INFO - Epoch(train) [13][700/3757] lr: 1.000e-02 eta: 1 day, 0:16:05 time: 0.989 data_time: 0.007 memory: 5148 grad_norm: 5.6932 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5128 loss: 2.5128 2022/06/27 20:38:41 - mmengine - INFO - Epoch(train) [13][720/3757] lr: 1.000e-02 eta: 1 day, 0:15:58 time: 0.218 data_time: 0.015 memory: 5148 grad_norm: 5.2011 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1177 loss: 2.1177 2022/06/27 20:38:46 - mmengine - INFO - Epoch(train) [13][740/3757] lr: 1.000e-02 eta: 1 day, 0:15:54 time: 0.206 data_time: 0.021 memory: 5148 grad_norm: 6.1344 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0439 loss: 2.0439 2022/06/27 20:38:51 - mmengine - INFO - Epoch(train) [13][760/3757] lr: 1.000e-02 eta: 1 day, 0:15:47 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 5.5742 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0603 loss: 2.0603 2022/06/27 20:38:56 - mmengine - INFO - Epoch(train) [13][780/3757] lr: 1.000e-02 eta: 1 day, 0:15:42 time: 0.206 data_time: 0.022 memory: 5148 grad_norm: 5.1169 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2533 loss: 2.2533 2022/06/27 20:39:02 - mmengine - INFO - Epoch(train) [13][800/3757] lr: 1.000e-02 eta: 1 day, 0:15:38 time: 0.234 data_time: 0.018 memory: 5148 grad_norm: 5.4703 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1555 loss: 2.1555 2022/06/27 20:39:08 - mmengine - INFO - Epoch(train) [13][820/3757] lr: 1.000e-02 eta: 1 day, 0:15:37 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.6806 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6720 loss: 1.6720 2022/06/27 20:39:13 - mmengine - INFO - Epoch(train) [13][840/3757] lr: 1.000e-02 eta: 1 day, 0:15:28 time: 0.326 data_time: 0.016 memory: 5148 grad_norm: 5.3277 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.2911 loss: 2.2911 2022/06/27 20:39:18 - mmengine - INFO - Epoch(train) [13][860/3757] lr: 1.000e-02 eta: 1 day, 0:15:26 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 4.7721 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1875 loss: 2.1875 2022/06/27 20:39:23 - mmengine - INFO - Epoch(train) [13][880/3757] lr: 1.000e-02 eta: 1 day, 0:15:17 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 6.1437 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6833 loss: 2.6833 2022/06/27 20:39:29 - mmengine - INFO - Epoch(train) [13][900/3757] lr: 1.000e-02 eta: 1 day, 0:15:13 time: 0.205 data_time: 0.016 memory: 5148 grad_norm: 5.3104 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1869 loss: 2.1869 2022/06/27 20:39:34 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 20:39:34 - mmengine - INFO - Epoch(train) [13][920/3757] lr: 1.000e-02 eta: 1 day, 0:15:11 time: 0.204 data_time: 0.019 memory: 5148 grad_norm: 5.2561 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4598 loss: 2.4598 2022/06/27 20:39:40 - mmengine - INFO - Epoch(train) [13][940/3757] lr: 1.000e-02 eta: 1 day, 0:15:09 time: 0.194 data_time: 0.006 memory: 5148 grad_norm: 4.8817 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5669 loss: 2.5669 2022/06/27 20:39:45 - mmengine - INFO - Epoch(train) [13][960/3757] lr: 1.000e-02 eta: 1 day, 0:14:57 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.2697 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4052 loss: 2.4052 2022/06/27 20:39:51 - mmengine - INFO - Epoch(train) [13][980/3757] lr: 1.000e-02 eta: 1 day, 0:14:58 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 5.9115 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4484 loss: 2.4484 2022/06/27 20:39:55 - mmengine - INFO - Epoch(train) [13][1000/3757] lr: 1.000e-02 eta: 1 day, 0:14:46 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 5.5904 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4860 loss: 2.4860 2022/06/27 20:40:00 - mmengine - INFO - Epoch(train) [13][1020/3757] lr: 1.000e-02 eta: 1 day, 0:14:40 time: 0.229 data_time: 0.023 memory: 5148 grad_norm: 5.3597 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3702 loss: 2.3702 2022/06/27 20:40:06 - mmengine - INFO - Epoch(train) [13][1040/3757] lr: 1.000e-02 eta: 1 day, 0:14:38 time: 0.318 data_time: 0.009 memory: 5148 grad_norm: 5.4586 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4658 loss: 2.4658 2022/06/27 20:40:11 - mmengine - INFO - Epoch(train) [13][1060/3757] lr: 1.000e-02 eta: 1 day, 0:14:34 time: 0.201 data_time: 0.017 memory: 5148 grad_norm: 5.7020 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4550 loss: 2.4550 2022/06/27 20:40:17 - mmengine - INFO - Epoch(train) [13][1080/3757] lr: 1.000e-02 eta: 1 day, 0:14:27 time: 0.211 data_time: 0.009 memory: 5148 grad_norm: 5.0703 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2463 loss: 2.2463 2022/06/27 20:40:22 - mmengine - INFO - Epoch(train) [13][1100/3757] lr: 1.000e-02 eta: 1 day, 0:14:22 time: 0.609 data_time: 0.006 memory: 5148 grad_norm: 5.9755 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1968 loss: 2.1968 2022/06/27 20:40:27 - mmengine - INFO - Epoch(train) [13][1120/3757] lr: 1.000e-02 eta: 1 day, 0:14:12 time: 0.201 data_time: 0.016 memory: 5148 grad_norm: 5.3149 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8523 loss: 1.8523 2022/06/27 20:40:32 - mmengine - INFO - Epoch(train) [13][1140/3757] lr: 1.000e-02 eta: 1 day, 0:14:08 time: 0.370 data_time: 0.007 memory: 5148 grad_norm: 5.4060 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3024 loss: 2.3024 2022/06/27 20:40:38 - mmengine - INFO - Epoch(train) [13][1160/3757] lr: 1.000e-02 eta: 1 day, 0:14:04 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 5.4057 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6041 loss: 2.6041 2022/06/27 20:40:43 - mmengine - INFO - Epoch(train) [13][1180/3757] lr: 1.000e-02 eta: 1 day, 0:13:57 time: 0.193 data_time: 0.006 memory: 5148 grad_norm: 5.3173 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0532 loss: 2.0532 2022/06/27 20:40:48 - mmengine - INFO - Epoch(train) [13][1200/3757] lr: 1.000e-02 eta: 1 day, 0:13:52 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 5.5515 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0573 loss: 2.0573 2022/06/27 20:40:53 - mmengine - INFO - Epoch(train) [13][1220/3757] lr: 1.000e-02 eta: 1 day, 0:13:47 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 6.1574 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0991 loss: 2.0991 2022/06/27 20:40:58 - mmengine - INFO - Epoch(train) [13][1240/3757] lr: 1.000e-02 eta: 1 day, 0:13:39 time: 0.198 data_time: 0.018 memory: 5148 grad_norm: 6.2377 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3134 loss: 2.3134 2022/06/27 20:41:03 - mmengine - INFO - Epoch(train) [13][1260/3757] lr: 1.000e-02 eta: 1 day, 0:13:33 time: 0.274 data_time: 0.007 memory: 5148 grad_norm: 5.7165 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4442 loss: 2.4442 2022/06/27 20:41:09 - mmengine - INFO - Epoch(train) [13][1280/3757] lr: 1.000e-02 eta: 1 day, 0:13:28 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.6340 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4208 loss: 2.4208 2022/06/27 20:41:14 - mmengine - INFO - Epoch(train) [13][1300/3757] lr: 1.000e-02 eta: 1 day, 0:13:21 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 5.5350 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3182 loss: 2.3182 2022/06/27 20:41:19 - mmengine - INFO - Epoch(train) [13][1320/3757] lr: 1.000e-02 eta: 1 day, 0:13:18 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.2186 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4893 loss: 2.4893 2022/06/27 20:41:25 - mmengine - INFO - Epoch(train) [13][1340/3757] lr: 1.000e-02 eta: 1 day, 0:13:13 time: 0.196 data_time: 0.006 memory: 5148 grad_norm: 6.0199 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6950 loss: 2.6950 2022/06/27 20:41:30 - mmengine - INFO - Epoch(train) [13][1360/3757] lr: 1.000e-02 eta: 1 day, 0:13:09 time: 0.394 data_time: 0.007 memory: 5148 grad_norm: 5.6867 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2737 loss: 2.2737 2022/06/27 20:41:35 - mmengine - INFO - Epoch(train) [13][1380/3757] lr: 1.000e-02 eta: 1 day, 0:12:59 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 5.0307 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5281 loss: 2.5281 2022/06/27 20:41:41 - mmengine - INFO - Epoch(train) [13][1400/3757] lr: 1.000e-02 eta: 1 day, 0:12:57 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.5089 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3079 loss: 2.3079 2022/06/27 20:41:46 - mmengine - INFO - Epoch(train) [13][1420/3757] lr: 1.000e-02 eta: 1 day, 0:12:49 time: 0.192 data_time: 0.013 memory: 5148 grad_norm: 5.4393 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5393 loss: 2.5393 2022/06/27 20:41:51 - mmengine - INFO - Epoch(train) [13][1440/3757] lr: 1.000e-02 eta: 1 day, 0:12:47 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 5.7365 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2754 loss: 2.2754 2022/06/27 20:41:56 - mmengine - INFO - Epoch(train) [13][1460/3757] lr: 1.000e-02 eta: 1 day, 0:12:41 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.4636 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8131 loss: 1.8131 2022/06/27 20:42:01 - mmengine - INFO - Epoch(train) [13][1480/3757] lr: 1.000e-02 eta: 1 day, 0:12:32 time: 0.194 data_time: 0.020 memory: 5148 grad_norm: 5.7199 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2929 loss: 2.2929 2022/06/27 20:42:07 - mmengine - INFO - Epoch(train) [13][1500/3757] lr: 1.000e-02 eta: 1 day, 0:12:27 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 5.0387 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0405 loss: 2.0405 2022/06/27 20:42:12 - mmengine - INFO - Epoch(train) [13][1520/3757] lr: 1.000e-02 eta: 1 day, 0:12:23 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 4.9794 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5187 loss: 2.5187 2022/06/27 20:42:17 - mmengine - INFO - Epoch(train) [13][1540/3757] lr: 1.000e-02 eta: 1 day, 0:12:18 time: 0.201 data_time: 0.018 memory: 5148 grad_norm: 5.2148 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2735 loss: 2.2735 2022/06/27 20:42:22 - mmengine - INFO - Epoch(train) [13][1560/3757] lr: 1.000e-02 eta: 1 day, 0:12:11 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.6252 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4543 loss: 2.4543 2022/06/27 20:42:28 - mmengine - INFO - Epoch(train) [13][1580/3757] lr: 1.000e-02 eta: 1 day, 0:12:08 time: 0.216 data_time: 0.006 memory: 5148 grad_norm: 5.8225 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1540 loss: 2.1540 2022/06/27 20:42:34 - mmengine - INFO - Epoch(train) [13][1600/3757] lr: 1.000e-02 eta: 1 day, 0:12:04 time: 0.202 data_time: 0.023 memory: 5148 grad_norm: 5.1046 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6986 loss: 2.6986 2022/06/27 20:42:39 - mmengine - INFO - Epoch(train) [13][1620/3757] lr: 1.000e-02 eta: 1 day, 0:11:57 time: 0.227 data_time: 0.009 memory: 5148 grad_norm: 5.4456 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0003 loss: 2.0003 2022/06/27 20:42:44 - mmengine - INFO - Epoch(train) [13][1640/3757] lr: 1.000e-02 eta: 1 day, 0:11:52 time: 0.570 data_time: 0.006 memory: 5148 grad_norm: 5.3656 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3282 loss: 2.3282 2022/06/27 20:42:49 - mmengine - INFO - Epoch(train) [13][1660/3757] lr: 1.000e-02 eta: 1 day, 0:11:45 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 5.5269 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9835 loss: 1.9835 2022/06/27 20:42:54 - mmengine - INFO - Epoch(train) [13][1680/3757] lr: 1.000e-02 eta: 1 day, 0:11:40 time: 0.206 data_time: 0.012 memory: 5148 grad_norm: 5.4103 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3354 loss: 2.3354 2022/06/27 20:43:00 - mmengine - INFO - Epoch(train) [13][1700/3757] lr: 1.000e-02 eta: 1 day, 0:11:36 time: 0.866 data_time: 0.010 memory: 5148 grad_norm: 4.7087 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2953 loss: 2.2953 2022/06/27 20:43:05 - mmengine - INFO - Epoch(train) [13][1720/3757] lr: 1.000e-02 eta: 1 day, 0:11:30 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.3182 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6284 loss: 2.6284 2022/06/27 20:43:10 - mmengine - INFO - Epoch(train) [13][1740/3757] lr: 1.000e-02 eta: 1 day, 0:11:23 time: 0.240 data_time: 0.007 memory: 5148 grad_norm: 4.9059 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0114 loss: 2.0114 2022/06/27 20:43:15 - mmengine - INFO - Epoch(train) [13][1760/3757] lr: 1.000e-02 eta: 1 day, 0:11:18 time: 0.834 data_time: 0.009 memory: 5148 grad_norm: 5.0623 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4987 loss: 2.4987 2022/06/27 20:43:21 - mmengine - INFO - Epoch(train) [13][1780/3757] lr: 1.000e-02 eta: 1 day, 0:11:14 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 5.2914 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3057 loss: 2.3057 2022/06/27 20:43:26 - mmengine - INFO - Epoch(train) [13][1800/3757] lr: 1.000e-02 eta: 1 day, 0:11:08 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.4788 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4117 loss: 2.4117 2022/06/27 20:43:32 - mmengine - INFO - Epoch(train) [13][1820/3757] lr: 1.000e-02 eta: 1 day, 0:11:03 time: 0.510 data_time: 0.010 memory: 5148 grad_norm: 5.2781 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5031 loss: 2.5031 2022/06/27 20:43:37 - mmengine - INFO - Epoch(train) [13][1840/3757] lr: 1.000e-02 eta: 1 day, 0:10:59 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.8115 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6539 loss: 2.6539 2022/06/27 20:43:42 - mmengine - INFO - Epoch(train) [13][1860/3757] lr: 1.000e-02 eta: 1 day, 0:10:50 time: 0.193 data_time: 0.006 memory: 5148 grad_norm: 5.7031 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6962 loss: 2.6962 2022/06/27 20:43:47 - mmengine - INFO - Epoch(train) [13][1880/3757] lr: 1.000e-02 eta: 1 day, 0:10:47 time: 0.418 data_time: 0.010 memory: 5148 grad_norm: 5.7574 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4137 loss: 2.4137 2022/06/27 20:43:53 - mmengine - INFO - Epoch(train) [13][1900/3757] lr: 1.000e-02 eta: 1 day, 0:10:43 time: 0.196 data_time: 0.013 memory: 5148 grad_norm: 5.0682 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1536 loss: 2.1536 2022/06/27 20:43:57 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 20:43:58 - mmengine - INFO - Epoch(train) [13][1920/3757] lr: 1.000e-02 eta: 1 day, 0:10:35 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.6434 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9615 loss: 1.9615 2022/06/27 20:44:04 - mmengine - INFO - Epoch(train) [13][1940/3757] lr: 1.000e-02 eta: 1 day, 0:10:33 time: 0.776 data_time: 0.010 memory: 5148 grad_norm: 6.4927 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7450 loss: 1.7450 2022/06/27 20:44:08 - mmengine - INFO - Epoch(train) [13][1960/3757] lr: 1.000e-02 eta: 1 day, 0:10:23 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 4.7974 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2629 loss: 2.2629 2022/06/27 20:44:14 - mmengine - INFO - Epoch(train) [13][1980/3757] lr: 1.000e-02 eta: 1 day, 0:10:21 time: 0.198 data_time: 0.005 memory: 5148 grad_norm: 4.8479 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2386 loss: 2.2386 2022/06/27 20:44:19 - mmengine - INFO - Epoch(train) [13][2000/3757] lr: 1.000e-02 eta: 1 day, 0:10:16 time: 1.005 data_time: 0.007 memory: 5148 grad_norm: 5.1696 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3498 loss: 2.3498 2022/06/27 20:44:24 - mmengine - INFO - Epoch(train) [13][2020/3757] lr: 1.000e-02 eta: 1 day, 0:10:04 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 5.5903 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2085 loss: 2.2085 2022/06/27 20:44:30 - mmengine - INFO - Epoch(train) [13][2040/3757] lr: 1.000e-02 eta: 1 day, 0:10:03 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.3984 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6152 loss: 2.6152 2022/06/27 20:44:35 - mmengine - INFO - Epoch(train) [13][2060/3757] lr: 1.000e-02 eta: 1 day, 0:10:00 time: 0.867 data_time: 0.007 memory: 5148 grad_norm: 5.2028 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1784 loss: 2.1784 2022/06/27 20:44:40 - mmengine - INFO - Epoch(train) [13][2080/3757] lr: 1.000e-02 eta: 1 day, 0:09:52 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.2071 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4956 loss: 2.4956 2022/06/27 20:44:46 - mmengine - INFO - Epoch(train) [13][2100/3757] lr: 1.000e-02 eta: 1 day, 0:09:48 time: 0.199 data_time: 0.009 memory: 5148 grad_norm: 5.7942 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3854 loss: 2.3854 2022/06/27 20:44:51 - mmengine - INFO - Epoch(train) [13][2120/3757] lr: 1.000e-02 eta: 1 day, 0:09:41 time: 0.637 data_time: 0.014 memory: 5148 grad_norm: 6.0024 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1960 loss: 2.1960 2022/06/27 20:44:55 - mmengine - INFO - Epoch(train) [13][2140/3757] lr: 1.000e-02 eta: 1 day, 0:09:31 time: 0.196 data_time: 0.015 memory: 5148 grad_norm: 5.4839 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.6784 loss: 2.6784 2022/06/27 20:45:01 - mmengine - INFO - Epoch(train) [13][2160/3757] lr: 1.000e-02 eta: 1 day, 0:09:27 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.3334 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0700 loss: 2.0700 2022/06/27 20:45:06 - mmengine - INFO - Epoch(train) [13][2180/3757] lr: 1.000e-02 eta: 1 day, 0:09:21 time: 0.919 data_time: 0.017 memory: 5148 grad_norm: 5.8164 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8706 loss: 1.8706 2022/06/27 20:45:11 - mmengine - INFO - Epoch(train) [13][2200/3757] lr: 1.000e-02 eta: 1 day, 0:09:14 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 5.8062 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5245 loss: 2.5245 2022/06/27 20:45:16 - mmengine - INFO - Epoch(train) [13][2220/3757] lr: 1.000e-02 eta: 1 day, 0:09:09 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 6.0964 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7532 loss: 2.7532 2022/06/27 20:45:22 - mmengine - INFO - Epoch(train) [13][2240/3757] lr: 1.000e-02 eta: 1 day, 0:09:05 time: 0.553 data_time: 0.013 memory: 5148 grad_norm: 5.4730 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4498 loss: 2.4498 2022/06/27 20:45:27 - mmengine - INFO - Epoch(train) [13][2260/3757] lr: 1.000e-02 eta: 1 day, 0:08:58 time: 0.190 data_time: 0.015 memory: 5148 grad_norm: 5.7832 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5378 loss: 2.5378 2022/06/27 20:45:33 - mmengine - INFO - Epoch(train) [13][2280/3757] lr: 1.000e-02 eta: 1 day, 0:08:55 time: 0.203 data_time: 0.015 memory: 5148 grad_norm: 5.5828 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0925 loss: 2.0925 2022/06/27 20:45:38 - mmengine - INFO - Epoch(train) [13][2300/3757] lr: 1.000e-02 eta: 1 day, 0:08:53 time: 1.250 data_time: 0.007 memory: 5148 grad_norm: 5.8724 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3197 loss: 2.3197 2022/06/27 20:45:43 - mmengine - INFO - Epoch(train) [13][2320/3757] lr: 1.000e-02 eta: 1 day, 0:08:43 time: 0.192 data_time: 0.013 memory: 5148 grad_norm: 5.4876 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6350 loss: 2.6350 2022/06/27 20:45:49 - mmengine - INFO - Epoch(train) [13][2340/3757] lr: 1.000e-02 eta: 1 day, 0:08:40 time: 0.197 data_time: 0.013 memory: 5148 grad_norm: 6.3695 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2444 loss: 2.2444 2022/06/27 20:45:54 - mmengine - INFO - Epoch(train) [13][2360/3757] lr: 1.000e-02 eta: 1 day, 0:08:33 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 5.7884 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.4229 loss: 2.4229 2022/06/27 20:45:58 - mmengine - INFO - Epoch(train) [13][2380/3757] lr: 1.000e-02 eta: 1 day, 0:08:23 time: 0.207 data_time: 0.017 memory: 5148 grad_norm: 5.1154 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.3060 loss: 2.3060 2022/06/27 20:46:04 - mmengine - INFO - Epoch(train) [13][2400/3757] lr: 1.000e-02 eta: 1 day, 0:08:19 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.0087 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1116 loss: 2.1116 2022/06/27 20:46:09 - mmengine - INFO - Epoch(train) [13][2420/3757] lr: 1.000e-02 eta: 1 day, 0:08:14 time: 0.724 data_time: 0.007 memory: 5148 grad_norm: 4.9527 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1040 loss: 2.1040 2022/06/27 20:46:14 - mmengine - INFO - Epoch(train) [13][2440/3757] lr: 1.000e-02 eta: 1 day, 0:08:06 time: 0.189 data_time: 0.009 memory: 5148 grad_norm: 5.1066 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7345 loss: 2.7345 2022/06/27 20:46:19 - mmengine - INFO - Epoch(train) [13][2460/3757] lr: 1.000e-02 eta: 1 day, 0:08:01 time: 0.189 data_time: 0.011 memory: 5148 grad_norm: 6.2499 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5766 loss: 2.5766 2022/06/27 20:46:25 - mmengine - INFO - Epoch(train) [13][2480/3757] lr: 1.000e-02 eta: 1 day, 0:07:57 time: 0.594 data_time: 0.006 memory: 5148 grad_norm: 5.1837 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7630 loss: 2.7630 2022/06/27 20:46:30 - mmengine - INFO - Epoch(train) [13][2500/3757] lr: 1.000e-02 eta: 1 day, 0:07:51 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 5.2991 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9782 loss: 1.9782 2022/06/27 20:46:35 - mmengine - INFO - Epoch(train) [13][2520/3757] lr: 1.000e-02 eta: 1 day, 0:07:43 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 6.1636 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5678 loss: 2.5678 2022/06/27 20:46:40 - mmengine - INFO - Epoch(train) [13][2540/3757] lr: 1.000e-02 eta: 1 day, 0:07:40 time: 0.274 data_time: 0.011 memory: 5148 grad_norm: 5.5238 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6791 loss: 2.6791 2022/06/27 20:46:45 - mmengine - INFO - Epoch(train) [13][2560/3757] lr: 1.000e-02 eta: 1 day, 0:07:30 time: 0.192 data_time: 0.010 memory: 5148 grad_norm: 5.8886 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6878 loss: 2.6878 2022/06/27 20:46:50 - mmengine - INFO - Epoch(train) [13][2580/3757] lr: 1.000e-02 eta: 1 day, 0:07:25 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.4785 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.2647 loss: 2.2647 2022/06/27 20:46:56 - mmengine - INFO - Epoch(train) [13][2600/3757] lr: 1.000e-02 eta: 1 day, 0:07:22 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.9532 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1145 loss: 2.1145 2022/06/27 20:47:01 - mmengine - INFO - Epoch(train) [13][2620/3757] lr: 1.000e-02 eta: 1 day, 0:07:14 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 5.4306 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6251 loss: 2.6251 2022/06/27 20:47:07 - mmengine - INFO - Epoch(train) [13][2640/3757] lr: 1.000e-02 eta: 1 day, 0:07:10 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 5.2550 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4310 loss: 2.4310 2022/06/27 20:47:13 - mmengine - INFO - Epoch(train) [13][2660/3757] lr: 1.000e-02 eta: 1 day, 0:07:10 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.9001 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1511 loss: 2.1511 2022/06/27 20:47:17 - mmengine - INFO - Epoch(train) [13][2680/3757] lr: 1.000e-02 eta: 1 day, 0:07:00 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 5.3579 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1766 loss: 2.1766 2022/06/27 20:47:23 - mmengine - INFO - Epoch(train) [13][2700/3757] lr: 1.000e-02 eta: 1 day, 0:06:56 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 5.1820 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4396 loss: 2.4396 2022/06/27 20:47:28 - mmengine - INFO - Epoch(train) [13][2720/3757] lr: 1.000e-02 eta: 1 day, 0:06:52 time: 0.198 data_time: 0.009 memory: 5148 grad_norm: 6.1024 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4036 loss: 2.4036 2022/06/27 20:47:33 - mmengine - INFO - Epoch(train) [13][2740/3757] lr: 1.000e-02 eta: 1 day, 0:06:42 time: 0.192 data_time: 0.010 memory: 5148 grad_norm: 5.7722 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5331 loss: 2.5331 2022/06/27 20:47:38 - mmengine - INFO - Epoch(train) [13][2760/3757] lr: 1.000e-02 eta: 1 day, 0:06:39 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.1627 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1807 loss: 2.1807 2022/06/27 20:47:44 - mmengine - INFO - Epoch(train) [13][2780/3757] lr: 1.000e-02 eta: 1 day, 0:06:35 time: 0.194 data_time: 0.014 memory: 5148 grad_norm: 6.1769 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6476 loss: 2.6476 2022/06/27 20:47:49 - mmengine - INFO - Epoch(train) [13][2800/3757] lr: 1.000e-02 eta: 1 day, 0:06:28 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 6.3758 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1642 loss: 2.1642 2022/06/27 20:47:54 - mmengine - INFO - Epoch(train) [13][2820/3757] lr: 1.000e-02 eta: 1 day, 0:06:23 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.7416 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9152 loss: 1.9152 2022/06/27 20:48:00 - mmengine - INFO - Epoch(train) [13][2840/3757] lr: 1.000e-02 eta: 1 day, 0:06:19 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.3774 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1636 loss: 2.1636 2022/06/27 20:48:04 - mmengine - INFO - Epoch(train) [13][2860/3757] lr: 1.000e-02 eta: 1 day, 0:06:09 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.5592 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4319 loss: 2.4319 2022/06/27 20:48:10 - mmengine - INFO - Epoch(train) [13][2880/3757] lr: 1.000e-02 eta: 1 day, 0:06:05 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 5.1942 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2489 loss: 2.2489 2022/06/27 20:48:16 - mmengine - INFO - Epoch(train) [13][2900/3757] lr: 1.000e-02 eta: 1 day, 0:06:05 time: 0.223 data_time: 0.007 memory: 5148 grad_norm: 5.8459 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0082 loss: 2.0082 2022/06/27 20:48:20 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 20:48:21 - mmengine - INFO - Epoch(train) [13][2920/3757] lr: 1.000e-02 eta: 1 day, 0:05:59 time: 0.216 data_time: 0.010 memory: 5148 grad_norm: 5.2345 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0487 loss: 2.0487 2022/06/27 20:48:27 - mmengine - INFO - Epoch(train) [13][2940/3757] lr: 1.000e-02 eta: 1 day, 0:05:55 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 5.9393 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7114 loss: 1.7114 2022/06/27 20:48:32 - mmengine - INFO - Epoch(train) [13][2960/3757] lr: 1.000e-02 eta: 1 day, 0:05:51 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 4.8761 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5638 loss: 2.5638 2022/06/27 20:48:37 - mmengine - INFO - Epoch(train) [13][2980/3757] lr: 1.000e-02 eta: 1 day, 0:05:43 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.3034 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4740 loss: 2.4740 2022/06/27 20:48:43 - mmengine - INFO - Epoch(train) [13][3000/3757] lr: 1.000e-02 eta: 1 day, 0:05:39 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 5.6587 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3285 loss: 2.3285 2022/06/27 20:48:48 - mmengine - INFO - Epoch(train) [13][3020/3757] lr: 1.000e-02 eta: 1 day, 0:05:35 time: 0.713 data_time: 0.010 memory: 5148 grad_norm: 5.9856 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6181 loss: 2.6181 2022/06/27 20:48:53 - mmengine - INFO - Epoch(train) [13][3040/3757] lr: 1.000e-02 eta: 1 day, 0:05:26 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.5008 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6483 loss: 2.6483 2022/06/27 20:48:58 - mmengine - INFO - Epoch(train) [13][3060/3757] lr: 1.000e-02 eta: 1 day, 0:05:23 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.8192 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5906 loss: 2.5906 2022/06/27 20:49:04 - mmengine - INFO - Epoch(train) [13][3080/3757] lr: 1.000e-02 eta: 1 day, 0:05:19 time: 0.205 data_time: 0.006 memory: 5148 grad_norm: 6.0003 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6136 loss: 2.6136 2022/06/27 20:49:09 - mmengine - INFO - Epoch(train) [13][3100/3757] lr: 1.000e-02 eta: 1 day, 0:05:16 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.2131 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2967 loss: 2.2967 2022/06/27 20:49:15 - mmengine - INFO - Epoch(train) [13][3120/3757] lr: 1.000e-02 eta: 1 day, 0:05:09 time: 0.212 data_time: 0.006 memory: 5148 grad_norm: 6.1466 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5486 loss: 2.5486 2022/06/27 20:49:20 - mmengine - INFO - Epoch(train) [13][3140/3757] lr: 1.000e-02 eta: 1 day, 0:05:02 time: 0.200 data_time: 0.015 memory: 5148 grad_norm: 5.8504 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.0080 loss: 2.0080 2022/06/27 20:49:25 - mmengine - INFO - Epoch(train) [13][3160/3757] lr: 1.000e-02 eta: 1 day, 0:04:59 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 4.8208 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0706 loss: 2.0706 2022/06/27 20:49:30 - mmengine - INFO - Epoch(train) [13][3180/3757] lr: 1.000e-02 eta: 1 day, 0:04:49 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.3574 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3869 loss: 2.3869 2022/06/27 20:49:36 - mmengine - INFO - Epoch(train) [13][3200/3757] lr: 1.000e-02 eta: 1 day, 0:04:47 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 5.2419 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8093 loss: 1.8093 2022/06/27 20:49:41 - mmengine - INFO - Epoch(train) [13][3220/3757] lr: 1.000e-02 eta: 1 day, 0:04:39 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.2537 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3286 loss: 2.3286 2022/06/27 20:49:46 - mmengine - INFO - Epoch(train) [13][3240/3757] lr: 1.000e-02 eta: 1 day, 0:04:34 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 5.6808 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3559 loss: 2.3559 2022/06/27 20:49:52 - mmengine - INFO - Epoch(train) [13][3260/3757] lr: 1.000e-02 eta: 1 day, 0:04:34 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 4.8701 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1035 loss: 2.1035 2022/06/27 20:49:56 - mmengine - INFO - Epoch(train) [13][3280/3757] lr: 1.000e-02 eta: 1 day, 0:04:23 time: 0.194 data_time: 0.011 memory: 5148 grad_norm: 5.8333 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3470 loss: 2.3470 2022/06/27 20:50:03 - mmengine - INFO - Epoch(train) [13][3300/3757] lr: 1.000e-02 eta: 1 day, 0:04:26 time: 0.210 data_time: 0.006 memory: 5148 grad_norm: 6.0130 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4445 loss: 2.4445 2022/06/27 20:50:08 - mmengine - INFO - Epoch(train) [13][3320/3757] lr: 1.000e-02 eta: 1 day, 0:04:19 time: 0.499 data_time: 0.010 memory: 5148 grad_norm: 5.4490 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4070 loss: 2.4070 2022/06/27 20:50:13 - mmengine - INFO - Epoch(train) [13][3340/3757] lr: 1.000e-02 eta: 1 day, 0:04:12 time: 0.190 data_time: 0.009 memory: 5148 grad_norm: 5.6529 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3813 loss: 2.3813 2022/06/27 20:50:19 - mmengine - INFO - Epoch(train) [13][3360/3757] lr: 1.000e-02 eta: 1 day, 0:04:08 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 4.7813 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4241 loss: 2.4241 2022/06/27 20:50:24 - mmengine - INFO - Epoch(train) [13][3380/3757] lr: 1.000e-02 eta: 1 day, 0:04:04 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 5.7260 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8975 loss: 2.8975 2022/06/27 20:50:29 - mmengine - INFO - Epoch(train) [13][3400/3757] lr: 1.000e-02 eta: 1 day, 0:03:55 time: 0.189 data_time: 0.007 memory: 5148 grad_norm: 5.5601 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0337 loss: 2.0337 2022/06/27 20:50:34 - mmengine - INFO - Epoch(train) [13][3420/3757] lr: 1.000e-02 eta: 1 day, 0:03:51 time: 0.207 data_time: 0.009 memory: 5148 grad_norm: 5.6884 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4831 loss: 2.4831 2022/06/27 20:50:40 - mmengine - INFO - Epoch(train) [13][3440/3757] lr: 1.000e-02 eta: 1 day, 0:03:49 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.4611 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6882 loss: 2.6882 2022/06/27 20:50:45 - mmengine - INFO - Epoch(train) [13][3460/3757] lr: 1.000e-02 eta: 1 day, 0:03:41 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 5.7547 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4391 loss: 2.4391 2022/06/27 20:50:51 - mmengine - INFO - Epoch(train) [13][3480/3757] lr: 1.000e-02 eta: 1 day, 0:03:38 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.9926 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2560 loss: 2.2560 2022/06/27 20:50:56 - mmengine - INFO - Epoch(train) [13][3500/3757] lr: 1.000e-02 eta: 1 day, 0:03:34 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 6.1664 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9629 loss: 1.9629 2022/06/27 20:51:01 - mmengine - INFO - Epoch(train) [13][3520/3757] lr: 1.000e-02 eta: 1 day, 0:03:23 time: 0.208 data_time: 0.011 memory: 5148 grad_norm: 4.8270 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4832 loss: 2.4832 2022/06/27 20:51:06 - mmengine - INFO - Epoch(train) [13][3540/3757] lr: 1.000e-02 eta: 1 day, 0:03:19 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.8196 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1813 loss: 2.1813 2022/06/27 20:51:12 - mmengine - INFO - Epoch(train) [13][3560/3757] lr: 1.000e-02 eta: 1 day, 0:03:16 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.6360 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5679 loss: 2.5679 2022/06/27 20:51:17 - mmengine - INFO - Epoch(train) [13][3580/3757] lr: 1.000e-02 eta: 1 day, 0:03:09 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 5.3342 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5569 loss: 2.5569 2022/06/27 20:51:23 - mmengine - INFO - Epoch(train) [13][3600/3757] lr: 1.000e-02 eta: 1 day, 0:03:08 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.5452 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4242 loss: 2.4242 2022/06/27 20:51:28 - mmengine - INFO - Epoch(train) [13][3620/3757] lr: 1.000e-02 eta: 1 day, 0:03:04 time: 0.205 data_time: 0.006 memory: 5148 grad_norm: 5.5591 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1993 loss: 2.1993 2022/06/27 20:51:34 - mmengine - INFO - Epoch(train) [13][3640/3757] lr: 1.000e-02 eta: 1 day, 0:03:00 time: 0.188 data_time: 0.008 memory: 5148 grad_norm: 5.3549 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3064 loss: 2.3064 2022/06/27 20:51:38 - mmengine - INFO - Epoch(train) [13][3660/3757] lr: 1.000e-02 eta: 1 day, 0:02:51 time: 0.201 data_time: 0.018 memory: 5148 grad_norm: 4.9684 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3503 loss: 2.3503 2022/06/27 20:51:44 - mmengine - INFO - Epoch(train) [13][3680/3757] lr: 1.000e-02 eta: 1 day, 0:02:50 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 5.6944 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0486 loss: 2.0486 2022/06/27 20:51:49 - mmengine - INFO - Epoch(train) [13][3700/3757] lr: 1.000e-02 eta: 1 day, 0:02:42 time: 0.196 data_time: 0.017 memory: 5148 grad_norm: 4.9573 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3682 loss: 2.3682 2022/06/27 20:51:55 - mmengine - INFO - Epoch(train) [13][3720/3757] lr: 1.000e-02 eta: 1 day, 0:02:38 time: 0.206 data_time: 0.006 memory: 5148 grad_norm: 4.8760 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2456 loss: 2.2456 2022/06/27 20:52:00 - mmengine - INFO - Epoch(train) [13][3740/3757] lr: 1.000e-02 eta: 1 day, 0:02:30 time: 0.194 data_time: 0.012 memory: 5148 grad_norm: 5.6774 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4136 loss: 2.4136 2022/06/27 20:52:03 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 20:52:10 - mmengine - INFO - Epoch(val) [13][20/310] eta: 0:01:07 time: 0.272 data_time: 0.192 memory: 5148 2022/06/27 20:52:15 - mmengine - INFO - Epoch(val) [13][40/310] eta: 0:01:01 time: 0.082 data_time: 0.005 memory: 1367 2022/06/27 20:52:21 - mmengine - INFO - Epoch(val) [13][60/310] eta: 0:00:56 time: 0.077 data_time: 0.006 memory: 1367 2022/06/27 20:52:25 - mmengine - INFO - Epoch(val) [13][80/310] eta: 0:00:59 time: 0.082 data_time: 0.005 memory: 1367 2022/06/27 20:52:31 - mmengine - INFO - Epoch(val) [13][100/310] eta: 0:00:46 time: 0.078 data_time: 0.005 memory: 1367 2022/06/27 20:52:36 - mmengine - INFO - Epoch(val) [13][120/310] eta: 0:00:49 time: 0.424 data_time: 0.352 memory: 1367 2022/06/27 20:52:42 - mmengine - INFO - Epoch(val) [13][140/310] eta: 0:00:53 time: 0.594 data_time: 0.523 memory: 1367 2022/06/27 20:52:47 - mmengine - INFO - Epoch(val) [13][160/310] eta: 0:00:38 time: 0.414 data_time: 0.338 memory: 1367 2022/06/27 20:52:53 - mmengine - INFO - Epoch(val) [13][180/310] eta: 0:00:46 time: 1.013 data_time: 0.936 memory: 1367 2022/06/27 20:52:57 - mmengine - INFO - Epoch(val) [13][200/310] eta: 0:00:25 time: 0.174 data_time: 0.097 memory: 1367 2022/06/27 20:53:03 - mmengine - INFO - Epoch(val) [13][220/310] eta: 0:00:31 time: 0.181 data_time: 0.110 memory: 1367 2022/06/27 20:53:08 - mmengine - INFO - Epoch(val) [13][240/310] eta: 0:00:15 time: 0.082 data_time: 0.011 memory: 1367 2022/06/27 20:53:14 - mmengine - INFO - Epoch(val) [13][260/310] eta: 0:00:17 time: 0.084 data_time: 0.008 memory: 1367 2022/06/27 20:53:18 - mmengine - INFO - Epoch(val) [13][280/310] eta: 0:00:07 time: 0.076 data_time: 0.005 memory: 1367 2022/06/27 20:53:24 - mmengine - INFO - Epoch(val) [13][300/310] eta: 0:00:03 time: 0.363 data_time: 0.291 memory: 1367 2022/06/27 20:53:28 - mmengine - INFO - Epoch(val) [13][310/310] acc/top1: 0.5101 acc/top5: 0.7669 acc/mean1: 0.5101 2022/06/27 20:53:36 - mmengine - INFO - Epoch(train) [14][20/3757] lr: 1.000e-02 eta: 1 day, 0:02:26 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.7447 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8514 loss: 1.8514 2022/06/27 20:53:42 - mmengine - INFO - Epoch(train) [14][40/3757] lr: 1.000e-02 eta: 1 day, 0:02:25 time: 0.203 data_time: 0.014 memory: 5148 grad_norm: 5.5626 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0706 loss: 2.0706 2022/06/27 20:53:46 - mmengine - INFO - Epoch(train) [14][60/3757] lr: 1.000e-02 eta: 1 day, 0:02:15 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.0665 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4192 loss: 2.4192 2022/06/27 20:53:52 - mmengine - INFO - Epoch(train) [14][80/3757] lr: 1.000e-02 eta: 1 day, 0:02:15 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 4.9943 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8603 loss: 1.8603 2022/06/27 20:53:58 - mmengine - INFO - Epoch(train) [14][100/3757] lr: 1.000e-02 eta: 1 day, 0:02:11 time: 0.296 data_time: 0.007 memory: 5148 grad_norm: 5.3509 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2921 loss: 2.2921 2022/06/27 20:54:03 - mmengine - INFO - Epoch(train) [14][120/3757] lr: 1.000e-02 eta: 1 day, 0:02:06 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 4.6368 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4409 loss: 2.4409 2022/06/27 20:54:08 - mmengine - INFO - Epoch(train) [14][140/3757] lr: 1.000e-02 eta: 1 day, 0:02:00 time: 0.217 data_time: 0.008 memory: 5148 grad_norm: 5.3169 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4920 loss: 2.4920 2022/06/27 20:54:14 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 20:54:14 - mmengine - INFO - Epoch(train) [14][160/3757] lr: 1.000e-02 eta: 1 day, 0:01:56 time: 0.257 data_time: 0.019 memory: 5148 grad_norm: 4.3312 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2809 loss: 2.2809 2022/06/27 20:54:19 - mmengine - INFO - Epoch(train) [14][180/3757] lr: 1.000e-02 eta: 1 day, 0:01:46 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.2727 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9651 loss: 1.9651 2022/06/27 20:54:24 - mmengine - INFO - Epoch(train) [14][200/3757] lr: 1.000e-02 eta: 1 day, 0:01:42 time: 0.219 data_time: 0.007 memory: 5148 grad_norm: 5.3120 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2771 loss: 2.2771 2022/06/27 20:54:30 - mmengine - INFO - Epoch(train) [14][220/3757] lr: 1.000e-02 eta: 1 day, 0:01:40 time: 0.484 data_time: 0.009 memory: 5148 grad_norm: 5.9871 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0020 loss: 2.0020 2022/06/27 20:54:35 - mmengine - INFO - Epoch(train) [14][240/3757] lr: 1.000e-02 eta: 1 day, 0:01:31 time: 0.196 data_time: 0.006 memory: 5148 grad_norm: 5.6500 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9828 loss: 1.9828 2022/06/27 20:54:40 - mmengine - INFO - Epoch(train) [14][260/3757] lr: 1.000e-02 eta: 1 day, 0:01:27 time: 0.189 data_time: 0.009 memory: 5148 grad_norm: 5.6645 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4269 loss: 2.4269 2022/06/27 20:54:46 - mmengine - INFO - Epoch(train) [14][280/3757] lr: 1.000e-02 eta: 1 day, 0:01:23 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 4.9769 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3038 loss: 2.3038 2022/06/27 20:54:51 - mmengine - INFO - Epoch(train) [14][300/3757] lr: 1.000e-02 eta: 1 day, 0:01:16 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.6810 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2460 loss: 2.2460 2022/06/27 20:54:56 - mmengine - INFO - Epoch(train) [14][320/3757] lr: 1.000e-02 eta: 1 day, 0:01:11 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.2446 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2175 loss: 2.2175 2022/06/27 20:55:02 - mmengine - INFO - Epoch(train) [14][340/3757] lr: 1.000e-02 eta: 1 day, 0:01:08 time: 0.426 data_time: 0.007 memory: 5148 grad_norm: 5.2187 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2568 loss: 2.2568 2022/06/27 20:55:07 - mmengine - INFO - Epoch(train) [14][360/3757] lr: 1.000e-02 eta: 1 day, 0:01:01 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 5.2331 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3826 loss: 2.3826 2022/06/27 20:55:12 - mmengine - INFO - Epoch(train) [14][380/3757] lr: 1.000e-02 eta: 1 day, 0:00:58 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 6.6833 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2689 loss: 2.2689 2022/06/27 20:55:19 - mmengine - INFO - Epoch(train) [14][400/3757] lr: 1.000e-02 eta: 1 day, 0:01:00 time: 0.212 data_time: 0.006 memory: 5148 grad_norm: 4.9228 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6230 loss: 2.6230 2022/06/27 20:55:23 - mmengine - INFO - Epoch(train) [14][420/3757] lr: 1.000e-02 eta: 1 day, 0:00:50 time: 0.212 data_time: 0.006 memory: 5148 grad_norm: 5.5385 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2163 loss: 2.2163 2022/06/27 20:55:29 - mmengine - INFO - Epoch(train) [14][440/3757] lr: 1.000e-02 eta: 1 day, 0:00:48 time: 0.221 data_time: 0.007 memory: 5148 grad_norm: 5.3298 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0973 loss: 2.0973 2022/06/27 20:55:35 - mmengine - INFO - Epoch(train) [14][460/3757] lr: 1.000e-02 eta: 1 day, 0:00:45 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 5.6751 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3554 loss: 2.3554 2022/06/27 20:55:40 - mmengine - INFO - Epoch(train) [14][480/3757] lr: 1.000e-02 eta: 1 day, 0:00:37 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 5.9475 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2108 loss: 2.2108 2022/06/27 20:55:45 - mmengine - INFO - Epoch(train) [14][500/3757] lr: 1.000e-02 eta: 1 day, 0:00:32 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 5.3569 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7496 loss: 2.7496 2022/06/27 20:55:51 - mmengine - INFO - Epoch(train) [14][520/3757] lr: 1.000e-02 eta: 1 day, 0:00:29 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 4.9937 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0175 loss: 2.0175 2022/06/27 20:55:56 - mmengine - INFO - Epoch(train) [14][540/3757] lr: 1.000e-02 eta: 1 day, 0:00:22 time: 0.219 data_time: 0.006 memory: 5148 grad_norm: 6.0533 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1619 loss: 2.1619 2022/06/27 20:56:01 - mmengine - INFO - Epoch(train) [14][560/3757] lr: 1.000e-02 eta: 1 day, 0:00:16 time: 0.193 data_time: 0.012 memory: 5148 grad_norm: 5.4956 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3101 loss: 2.3101 2022/06/27 20:56:06 - mmengine - INFO - Epoch(train) [14][580/3757] lr: 1.000e-02 eta: 1 day, 0:00:11 time: 0.204 data_time: 0.016 memory: 5148 grad_norm: 5.5136 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3211 loss: 2.3211 2022/06/27 20:56:11 - mmengine - INFO - Epoch(train) [14][600/3757] lr: 1.000e-02 eta: 1 day, 0:00:04 time: 0.219 data_time: 0.010 memory: 5148 grad_norm: 5.6406 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1200 loss: 2.1200 2022/06/27 20:56:17 - mmengine - INFO - Epoch(train) [14][620/3757] lr: 1.000e-02 eta: 1 day, 0:00:02 time: 0.188 data_time: 0.009 memory: 5148 grad_norm: 5.6121 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5186 loss: 2.5186 2022/06/27 20:56:23 - mmengine - INFO - Epoch(train) [14][640/3757] lr: 1.000e-02 eta: 1 day, 0:00:00 time: 0.221 data_time: 0.011 memory: 5148 grad_norm: 6.1177 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2477 loss: 2.2477 2022/06/27 20:56:28 - mmengine - INFO - Epoch(train) [14][660/3757] lr: 1.000e-02 eta: 23:59:51 time: 0.241 data_time: 0.006 memory: 5148 grad_norm: 5.9092 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2888 loss: 2.2888 2022/06/27 20:56:34 - mmengine - INFO - Epoch(train) [14][680/3757] lr: 1.000e-02 eta: 23:59:50 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.3361 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0451 loss: 2.0451 2022/06/27 20:56:38 - mmengine - INFO - Epoch(train) [14][700/3757] lr: 1.000e-02 eta: 23:59:41 time: 0.195 data_time: 0.021 memory: 5148 grad_norm: 4.7924 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3879 loss: 2.3879 2022/06/27 20:56:43 - mmengine - INFO - Epoch(train) [14][720/3757] lr: 1.000e-02 eta: 23:59:33 time: 0.193 data_time: 0.011 memory: 5148 grad_norm: 5.9778 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2083 loss: 2.2083 2022/06/27 20:56:49 - mmengine - INFO - Epoch(train) [14][740/3757] lr: 1.000e-02 eta: 23:59:29 time: 0.196 data_time: 0.006 memory: 5148 grad_norm: 5.2509 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8370 loss: 1.8370 2022/06/27 20:56:54 - mmengine - INFO - Epoch(train) [14][760/3757] lr: 1.000e-02 eta: 23:59:26 time: 0.227 data_time: 0.007 memory: 5148 grad_norm: 5.8115 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4100 loss: 2.4100 2022/06/27 20:56:59 - mmengine - INFO - Epoch(train) [14][780/3757] lr: 1.000e-02 eta: 23:59:17 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 5.2811 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6506 loss: 2.6506 2022/06/27 20:57:05 - mmengine - INFO - Epoch(train) [14][800/3757] lr: 1.000e-02 eta: 23:59:13 time: 0.189 data_time: 0.008 memory: 5148 grad_norm: 5.7079 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2178 loss: 2.2178 2022/06/27 20:57:10 - mmengine - INFO - Epoch(train) [14][820/3757] lr: 1.000e-02 eta: 23:59:10 time: 0.195 data_time: 0.012 memory: 5148 grad_norm: 5.0765 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1503 loss: 2.1503 2022/06/27 20:57:15 - mmengine - INFO - Epoch(train) [14][840/3757] lr: 1.000e-02 eta: 23:58:59 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.5373 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3775 loss: 2.3775 2022/06/27 20:57:20 - mmengine - INFO - Epoch(train) [14][860/3757] lr: 1.000e-02 eta: 23:58:54 time: 0.192 data_time: 0.011 memory: 5148 grad_norm: 4.8292 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1613 loss: 2.1613 2022/06/27 20:57:25 - mmengine - INFO - Epoch(train) [14][880/3757] lr: 1.000e-02 eta: 23:58:50 time: 0.214 data_time: 0.012 memory: 5148 grad_norm: 5.7556 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4158 loss: 2.4158 2022/06/27 20:57:30 - mmengine - INFO - Epoch(train) [14][900/3757] lr: 1.000e-02 eta: 23:58:41 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 5.5293 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8466 loss: 1.8466 2022/06/27 20:57:36 - mmengine - INFO - Epoch(train) [14][920/3757] lr: 1.000e-02 eta: 23:58:36 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.0006 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1821 loss: 2.1821 2022/06/27 20:57:43 - mmengine - INFO - Epoch(train) [14][940/3757] lr: 1.000e-02 eta: 23:58:42 time: 1.833 data_time: 0.006 memory: 5148 grad_norm: 5.8075 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3954 loss: 2.3954 2022/06/27 20:57:47 - mmengine - INFO - Epoch(train) [14][960/3757] lr: 1.000e-02 eta: 23:58:29 time: 0.192 data_time: 0.008 memory: 5148 grad_norm: 5.0967 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8365 loss: 1.8365 2022/06/27 20:57:51 - mmengine - INFO - Epoch(train) [14][980/3757] lr: 1.000e-02 eta: 23:58:20 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.3344 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3174 loss: 2.3174 2022/06/27 20:57:57 - mmengine - INFO - Epoch(train) [14][1000/3757] lr: 1.000e-02 eta: 23:58:17 time: 1.014 data_time: 0.007 memory: 5148 grad_norm: 5.6821 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0569 loss: 2.0569 2022/06/27 20:58:02 - mmengine - INFO - Epoch(train) [14][1020/3757] lr: 1.000e-02 eta: 23:58:10 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 6.0838 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1648 loss: 2.1648 2022/06/27 20:58:07 - mmengine - INFO - Epoch(train) [14][1040/3757] lr: 1.000e-02 eta: 23:58:03 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.4691 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2984 loss: 2.2984 2022/06/27 20:58:13 - mmengine - INFO - Epoch(train) [14][1060/3757] lr: 1.000e-02 eta: 23:57:59 time: 0.827 data_time: 0.007 memory: 5148 grad_norm: 5.8149 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9640 loss: 1.9640 2022/06/27 20:58:18 - mmengine - INFO - Epoch(train) [14][1080/3757] lr: 1.000e-02 eta: 23:57:52 time: 0.200 data_time: 0.014 memory: 5148 grad_norm: 5.5878 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3261 loss: 2.3261 2022/06/27 20:58:23 - mmengine - INFO - Epoch(train) [14][1100/3757] lr: 1.000e-02 eta: 23:57:48 time: 0.205 data_time: 0.006 memory: 5148 grad_norm: 4.9385 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4616 loss: 2.4616 2022/06/27 20:58:29 - mmengine - INFO - Epoch(train) [14][1120/3757] lr: 1.000e-02 eta: 23:57:43 time: 0.781 data_time: 0.007 memory: 5148 grad_norm: 6.2215 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2020 loss: 2.2020 2022/06/27 20:58:33 - mmengine - INFO - Epoch(train) [14][1140/3757] lr: 1.000e-02 eta: 23:57:35 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 5.5327 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3598 loss: 2.3598 2022/06/27 20:58:38 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 20:58:39 - mmengine - INFO - Epoch(train) [14][1160/3757] lr: 1.000e-02 eta: 23:57:29 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.1615 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9977 loss: 1.9977 2022/06/27 20:58:44 - mmengine - INFO - Epoch(train) [14][1180/3757] lr: 1.000e-02 eta: 23:57:26 time: 0.467 data_time: 0.007 memory: 5148 grad_norm: 4.9498 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0584 loss: 2.0584 2022/06/27 20:58:49 - mmengine - INFO - Epoch(train) [14][1200/3757] lr: 1.000e-02 eta: 23:57:18 time: 0.222 data_time: 0.007 memory: 5148 grad_norm: 5.0717 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3752 loss: 2.3752 2022/06/27 20:58:54 - mmengine - INFO - Epoch(train) [14][1220/3757] lr: 1.000e-02 eta: 23:57:13 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 6.5530 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1353 loss: 2.1353 2022/06/27 20:59:00 - mmengine - INFO - Epoch(train) [14][1240/3757] lr: 1.000e-02 eta: 23:57:09 time: 0.603 data_time: 0.007 memory: 5148 grad_norm: 5.4353 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0693 loss: 2.0693 2022/06/27 20:59:05 - mmengine - INFO - Epoch(train) [14][1260/3757] lr: 1.000e-02 eta: 23:57:04 time: 0.191 data_time: 0.008 memory: 5148 grad_norm: 5.4714 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7177 loss: 2.7177 2022/06/27 20:59:11 - mmengine - INFO - Epoch(train) [14][1280/3757] lr: 1.000e-02 eta: 23:57:01 time: 1.158 data_time: 0.007 memory: 5148 grad_norm: 6.0219 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4033 loss: 2.4033 2022/06/27 20:59:16 - mmengine - INFO - Epoch(train) [14][1300/3757] lr: 1.000e-02 eta: 23:56:53 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 5.2125 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1042 loss: 2.1042 2022/06/27 20:59:21 - mmengine - INFO - Epoch(train) [14][1320/3757] lr: 1.000e-02 eta: 23:56:48 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.4683 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9446 loss: 1.9446 2022/06/27 20:59:26 - mmengine - INFO - Epoch(train) [14][1340/3757] lr: 1.000e-02 eta: 23:56:43 time: 0.852 data_time: 0.016 memory: 5148 grad_norm: 4.9777 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7249 loss: 2.7249 2022/06/27 20:59:32 - mmengine - INFO - Epoch(train) [14][1360/3757] lr: 1.000e-02 eta: 23:56:36 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 4.0969 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0122 loss: 2.0122 2022/06/27 20:59:38 - mmengine - INFO - Epoch(train) [14][1380/3757] lr: 1.000e-02 eta: 23:56:35 time: 0.193 data_time: 0.006 memory: 5148 grad_norm: 4.6344 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0391 loss: 2.0391 2022/06/27 20:59:43 - mmengine - INFO - Epoch(train) [14][1400/3757] lr: 1.000e-02 eta: 23:56:29 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 5.3694 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9824 loss: 1.9824 2022/06/27 20:59:47 - mmengine - INFO - Epoch(train) [14][1420/3757] lr: 1.000e-02 eta: 23:56:19 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 5.4790 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3844 loss: 2.3844 2022/06/27 20:59:53 - mmengine - INFO - Epoch(train) [14][1440/3757] lr: 1.000e-02 eta: 23:56:14 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.0570 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0482 loss: 2.0482 2022/06/27 20:59:58 - mmengine - INFO - Epoch(train) [14][1460/3757] lr: 1.000e-02 eta: 23:56:09 time: 0.694 data_time: 0.006 memory: 5148 grad_norm: 5.4679 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9818 loss: 1.9818 2022/06/27 21:00:04 - mmengine - INFO - Epoch(train) [14][1480/3757] lr: 1.000e-02 eta: 23:56:09 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.0427 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2910 loss: 2.2910 2022/06/27 21:00:09 - mmengine - INFO - Epoch(train) [14][1500/3757] lr: 1.000e-02 eta: 23:55:58 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 5.2500 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6047 loss: 2.6047 2022/06/27 21:00:14 - mmengine - INFO - Epoch(train) [14][1520/3757] lr: 1.000e-02 eta: 23:55:53 time: 0.504 data_time: 0.010 memory: 5148 grad_norm: 4.9778 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9950 loss: 1.9950 2022/06/27 21:00:19 - mmengine - INFO - Epoch(train) [14][1540/3757] lr: 1.000e-02 eta: 23:55:46 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.6992 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9272 loss: 1.9272 2022/06/27 21:00:24 - mmengine - INFO - Epoch(train) [14][1560/3757] lr: 1.000e-02 eta: 23:55:40 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 5.6981 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4681 loss: 2.4681 2022/06/27 21:00:30 - mmengine - INFO - Epoch(train) [14][1580/3757] lr: 1.000e-02 eta: 23:55:36 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 5.2477 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9214 loss: 1.9214 2022/06/27 21:00:34 - mmengine - INFO - Epoch(train) [14][1600/3757] lr: 1.000e-02 eta: 23:55:27 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 4.8090 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4191 loss: 2.4191 2022/06/27 21:00:40 - mmengine - INFO - Epoch(train) [14][1620/3757] lr: 1.000e-02 eta: 23:55:23 time: 0.194 data_time: 0.015 memory: 5148 grad_norm: 4.8683 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1796 loss: 2.1796 2022/06/27 21:00:45 - mmengine - INFO - Epoch(train) [14][1640/3757] lr: 1.000e-02 eta: 23:55:16 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.1399 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7097 loss: 2.7097 2022/06/27 21:00:50 - mmengine - INFO - Epoch(train) [14][1660/3757] lr: 1.000e-02 eta: 23:55:12 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.2384 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8338 loss: 1.8338 2022/06/27 21:00:56 - mmengine - INFO - Epoch(train) [14][1680/3757] lr: 1.000e-02 eta: 23:55:08 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.3391 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0934 loss: 2.0934 2022/06/27 21:01:01 - mmengine - INFO - Epoch(train) [14][1700/3757] lr: 1.000e-02 eta: 23:54:59 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.7221 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0344 loss: 2.0344 2022/06/27 21:01:06 - mmengine - INFO - Epoch(train) [14][1720/3757] lr: 1.000e-02 eta: 23:54:55 time: 0.194 data_time: 0.006 memory: 5148 grad_norm: 5.2215 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2771 loss: 2.2771 2022/06/27 21:01:12 - mmengine - INFO - Epoch(train) [14][1740/3757] lr: 1.000e-02 eta: 23:54:51 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 6.0119 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0941 loss: 2.0941 2022/06/27 21:01:16 - mmengine - INFO - Epoch(train) [14][1760/3757] lr: 1.000e-02 eta: 23:54:42 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 5.4971 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8675 loss: 1.8675 2022/06/27 21:01:22 - mmengine - INFO - Epoch(train) [14][1780/3757] lr: 1.000e-02 eta: 23:54:39 time: 0.413 data_time: 0.011 memory: 5148 grad_norm: 5.8686 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1815 loss: 2.1815 2022/06/27 21:01:27 - mmengine - INFO - Epoch(train) [14][1800/3757] lr: 1.000e-02 eta: 23:54:35 time: 0.203 data_time: 0.014 memory: 5148 grad_norm: 5.2286 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5449 loss: 2.5449 2022/06/27 21:01:32 - mmengine - INFO - Epoch(train) [14][1820/3757] lr: 1.000e-02 eta: 23:54:26 time: 0.400 data_time: 0.006 memory: 5148 grad_norm: 5.8292 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3646 loss: 2.3646 2022/06/27 21:01:37 - mmengine - INFO - Epoch(train) [14][1840/3757] lr: 1.000e-02 eta: 23:54:20 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.2694 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.0286 loss: 2.0286 2022/06/27 21:01:43 - mmengine - INFO - Epoch(train) [14][1860/3757] lr: 1.000e-02 eta: 23:54:16 time: 0.196 data_time: 0.013 memory: 5148 grad_norm: 6.3500 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2654 loss: 2.2654 2022/06/27 21:01:48 - mmengine - INFO - Epoch(train) [14][1880/3757] lr: 1.000e-02 eta: 23:54:10 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.3160 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5970 loss: 2.5970 2022/06/27 21:01:53 - mmengine - INFO - Epoch(train) [14][1900/3757] lr: 1.000e-02 eta: 23:54:04 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 5.7795 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5068 loss: 2.5068 2022/06/27 21:01:59 - mmengine - INFO - Epoch(train) [14][1920/3757] lr: 1.000e-02 eta: 23:54:00 time: 0.196 data_time: 0.016 memory: 5148 grad_norm: 5.4635 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0978 loss: 2.0978 2022/06/27 21:02:05 - mmengine - INFO - Epoch(train) [14][1940/3757] lr: 1.000e-02 eta: 23:53:59 time: 0.208 data_time: 0.006 memory: 5148 grad_norm: 5.3043 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0886 loss: 2.0886 2022/06/27 21:02:09 - mmengine - INFO - Epoch(train) [14][1960/3757] lr: 1.000e-02 eta: 23:53:48 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 5.5962 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3622 loss: 2.3622 2022/06/27 21:02:15 - mmengine - INFO - Epoch(train) [14][1980/3757] lr: 1.000e-02 eta: 23:53:44 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 5.7241 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5089 loss: 2.5089 2022/06/27 21:02:20 - mmengine - INFO - Epoch(train) [14][2000/3757] lr: 1.000e-02 eta: 23:53:38 time: 0.292 data_time: 0.007 memory: 5148 grad_norm: 5.9179 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.6631 loss: 2.6631 2022/06/27 21:02:25 - mmengine - INFO - Epoch(train) [14][2020/3757] lr: 1.000e-02 eta: 23:53:35 time: 0.207 data_time: 0.012 memory: 5148 grad_norm: 5.0837 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3553 loss: 2.3553 2022/06/27 21:02:31 - mmengine - INFO - Epoch(train) [14][2040/3757] lr: 1.000e-02 eta: 23:53:31 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 5.8327 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2434 loss: 2.2434 2022/06/27 21:02:36 - mmengine - INFO - Epoch(train) [14][2060/3757] lr: 1.000e-02 eta: 23:53:24 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.5161 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2845 loss: 2.2845 2022/06/27 21:02:41 - mmengine - INFO - Epoch(train) [14][2080/3757] lr: 1.000e-02 eta: 23:53:18 time: 0.201 data_time: 0.029 memory: 5148 grad_norm: 5.5168 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6852 loss: 2.6852 2022/06/27 21:02:47 - mmengine - INFO - Epoch(train) [14][2100/3757] lr: 1.000e-02 eta: 23:53:13 time: 0.201 data_time: 0.013 memory: 5148 grad_norm: 5.2445 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3187 loss: 2.3187 2022/06/27 21:02:52 - mmengine - INFO - Epoch(train) [14][2120/3757] lr: 1.000e-02 eta: 23:53:05 time: 0.390 data_time: 0.006 memory: 5148 grad_norm: 5.1693 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5551 loss: 2.5551 2022/06/27 21:02:57 - mmengine - INFO - Epoch(train) [14][2140/3757] lr: 1.000e-02 eta: 23:53:04 time: 0.208 data_time: 0.029 memory: 5148 grad_norm: 5.4338 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3880 loss: 2.3880 2022/06/27 21:03:03 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 21:03:03 - mmengine - INFO - Epoch(train) [14][2160/3757] lr: 1.000e-02 eta: 23:53:00 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 5.5681 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6795 loss: 2.6795 2022/06/27 21:03:08 - mmengine - INFO - Epoch(train) [14][2180/3757] lr: 1.000e-02 eta: 23:52:51 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.9012 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7352 loss: 2.7352 2022/06/27 21:03:14 - mmengine - INFO - Epoch(train) [14][2200/3757] lr: 1.000e-02 eta: 23:52:52 time: 0.248 data_time: 0.068 memory: 5148 grad_norm: 5.2889 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.4138 loss: 2.4138 2022/06/27 21:03:18 - mmengine - INFO - Epoch(train) [14][2220/3757] lr: 1.000e-02 eta: 23:52:39 time: 0.203 data_time: 0.015 memory: 5148 grad_norm: 5.0931 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7726 loss: 1.7726 2022/06/27 21:03:23 - mmengine - INFO - Epoch(train) [14][2240/3757] lr: 1.000e-02 eta: 23:52:32 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 5.6344 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2847 loss: 2.2847 2022/06/27 21:03:28 - mmengine - INFO - Epoch(train) [14][2260/3757] lr: 1.000e-02 eta: 23:52:25 time: 0.194 data_time: 0.009 memory: 5148 grad_norm: 5.2752 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4692 loss: 2.4692 2022/06/27 21:03:33 - mmengine - INFO - Epoch(train) [14][2280/3757] lr: 1.000e-02 eta: 23:52:19 time: 0.195 data_time: 0.015 memory: 5148 grad_norm: 5.7126 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2405 loss: 2.2405 2022/06/27 21:03:38 - mmengine - INFO - Epoch(train) [14][2300/3757] lr: 1.000e-02 eta: 23:52:12 time: 0.194 data_time: 0.006 memory: 5148 grad_norm: 5.1932 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2231 loss: 2.2231 2022/06/27 21:03:44 - mmengine - INFO - Epoch(train) [14][2320/3757] lr: 1.000e-02 eta: 23:52:08 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 5.9299 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3692 loss: 2.3692 2022/06/27 21:03:49 - mmengine - INFO - Epoch(train) [14][2340/3757] lr: 1.000e-02 eta: 23:52:05 time: 0.197 data_time: 0.014 memory: 5148 grad_norm: 5.4532 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1871 loss: 2.1871 2022/06/27 21:03:54 - mmengine - INFO - Epoch(train) [14][2360/3757] lr: 1.000e-02 eta: 23:51:56 time: 0.208 data_time: 0.011 memory: 5148 grad_norm: 5.1831 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5700 loss: 2.5700 2022/06/27 21:04:00 - mmengine - INFO - Epoch(train) [14][2380/3757] lr: 1.000e-02 eta: 23:51:51 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 5.1529 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6107 loss: 2.6107 2022/06/27 21:04:05 - mmengine - INFO - Epoch(train) [14][2400/3757] lr: 1.000e-02 eta: 23:51:45 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.1581 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4997 loss: 2.4997 2022/06/27 21:04:10 - mmengine - INFO - Epoch(train) [14][2420/3757] lr: 1.000e-02 eta: 23:51:42 time: 0.835 data_time: 0.007 memory: 5148 grad_norm: 6.2485 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1480 loss: 2.1480 2022/06/27 21:04:15 - mmengine - INFO - Epoch(train) [14][2440/3757] lr: 1.000e-02 eta: 23:51:34 time: 0.197 data_time: 0.012 memory: 5148 grad_norm: 5.1492 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4285 loss: 2.4285 2022/06/27 21:04:21 - mmengine - INFO - Epoch(train) [14][2460/3757] lr: 1.000e-02 eta: 23:51:32 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 5.0470 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0543 loss: 2.0543 2022/06/27 21:04:26 - mmengine - INFO - Epoch(train) [14][2480/3757] lr: 1.000e-02 eta: 23:51:26 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 5.7490 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1142 loss: 2.1142 2022/06/27 21:04:32 - mmengine - INFO - Epoch(train) [14][2500/3757] lr: 1.000e-02 eta: 23:51:21 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 5.3304 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.3328 loss: 2.3328 2022/06/27 21:04:37 - mmengine - INFO - Epoch(train) [14][2520/3757] lr: 1.000e-02 eta: 23:51:18 time: 0.209 data_time: 0.010 memory: 5148 grad_norm: 5.3158 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1939 loss: 2.1939 2022/06/27 21:04:43 - mmengine - INFO - Epoch(train) [14][2540/3757] lr: 1.000e-02 eta: 23:51:14 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.5473 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6750 loss: 2.6750 2022/06/27 21:04:48 - mmengine - INFO - Epoch(train) [14][2560/3757] lr: 1.000e-02 eta: 23:51:10 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 4.8958 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.2940 loss: 2.2940 2022/06/27 21:04:53 - mmengine - INFO - Epoch(train) [14][2580/3757] lr: 1.000e-02 eta: 23:51:03 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 6.1426 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2155 loss: 2.2155 2022/06/27 21:04:58 - mmengine - INFO - Epoch(train) [14][2600/3757] lr: 1.000e-02 eta: 23:50:55 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.2837 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2804 loss: 2.2804 2022/06/27 21:05:05 - mmengine - INFO - Epoch(train) [14][2620/3757] lr: 1.000e-02 eta: 23:50:59 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 6.1805 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3504 loss: 2.3504 2022/06/27 21:05:10 - mmengine - INFO - Epoch(train) [14][2640/3757] lr: 1.000e-02 eta: 23:50:49 time: 0.213 data_time: 0.018 memory: 5148 grad_norm: 5.5002 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1003 loss: 2.1003 2022/06/27 21:05:15 - mmengine - INFO - Epoch(train) [14][2660/3757] lr: 1.000e-02 eta: 23:50:45 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 5.4783 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6227 loss: 2.6227 2022/06/27 21:05:21 - mmengine - INFO - Epoch(train) [14][2680/3757] lr: 1.000e-02 eta: 23:50:42 time: 0.199 data_time: 0.009 memory: 5148 grad_norm: 6.0799 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3209 loss: 2.3209 2022/06/27 21:05:25 - mmengine - INFO - Epoch(train) [14][2700/3757] lr: 1.000e-02 eta: 23:50:33 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 6.2350 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2651 loss: 2.2651 2022/06/27 21:05:31 - mmengine - INFO - Epoch(train) [14][2720/3757] lr: 1.000e-02 eta: 23:50:30 time: 0.189 data_time: 0.006 memory: 5148 grad_norm: 5.8812 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0682 loss: 2.0682 2022/06/27 21:05:37 - mmengine - INFO - Epoch(train) [14][2740/3757] lr: 1.000e-02 eta: 23:50:26 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.7793 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0904 loss: 2.0904 2022/06/27 21:05:42 - mmengine - INFO - Epoch(train) [14][2760/3757] lr: 1.000e-02 eta: 23:50:19 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 4.8135 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3412 loss: 2.3412 2022/06/27 21:05:47 - mmengine - INFO - Epoch(train) [14][2780/3757] lr: 1.000e-02 eta: 23:50:14 time: 0.194 data_time: 0.006 memory: 5148 grad_norm: 5.5038 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5257 loss: 2.5257 2022/06/27 21:05:52 - mmengine - INFO - Epoch(train) [14][2800/3757] lr: 1.000e-02 eta: 23:50:08 time: 0.197 data_time: 0.014 memory: 5148 grad_norm: 5.6897 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1371 loss: 2.1371 2022/06/27 21:05:58 - mmengine - INFO - Epoch(train) [14][2820/3757] lr: 1.000e-02 eta: 23:50:06 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 4.6344 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0081 loss: 2.0081 2022/06/27 21:06:03 - mmengine - INFO - Epoch(train) [14][2840/3757] lr: 1.000e-02 eta: 23:50:01 time: 0.192 data_time: 0.006 memory: 5148 grad_norm: 5.9765 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4738 loss: 2.4738 2022/06/27 21:06:08 - mmengine - INFO - Epoch(train) [14][2860/3757] lr: 1.000e-02 eta: 23:49:54 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.8657 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2461 loss: 2.2461 2022/06/27 21:06:14 - mmengine - INFO - Epoch(train) [14][2880/3757] lr: 1.000e-02 eta: 23:49:50 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 6.5051 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2299 loss: 2.2299 2022/06/27 21:06:20 - mmengine - INFO - Epoch(train) [14][2900/3757] lr: 1.000e-02 eta: 23:49:47 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 5.1429 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3373 loss: 2.3373 2022/06/27 21:06:25 - mmengine - INFO - Epoch(train) [14][2920/3757] lr: 1.000e-02 eta: 23:49:43 time: 0.195 data_time: 0.009 memory: 5148 grad_norm: 5.7518 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2099 loss: 2.2099 2022/06/27 21:06:30 - mmengine - INFO - Epoch(train) [14][2940/3757] lr: 1.000e-02 eta: 23:49:34 time: 0.411 data_time: 0.010 memory: 5148 grad_norm: 5.7095 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3650 loss: 2.3650 2022/06/27 21:06:35 - mmengine - INFO - Epoch(train) [14][2960/3757] lr: 1.000e-02 eta: 23:49:30 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 4.7300 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5598 loss: 2.5598 2022/06/27 21:06:41 - mmengine - INFO - Epoch(train) [14][2980/3757] lr: 1.000e-02 eta: 23:49:26 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.2165 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4057 loss: 2.4057 2022/06/27 21:06:46 - mmengine - INFO - Epoch(train) [14][3000/3757] lr: 1.000e-02 eta: 23:49:19 time: 0.204 data_time: 0.009 memory: 5148 grad_norm: 5.8518 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2225 loss: 2.2225 2022/06/27 21:06:52 - mmengine - INFO - Epoch(train) [14][3020/3757] lr: 1.000e-02 eta: 23:49:17 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.0164 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4953 loss: 2.4953 2022/06/27 21:06:57 - mmengine - INFO - Epoch(train) [14][3040/3757] lr: 1.000e-02 eta: 23:49:12 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 5.1332 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1922 loss: 2.1922 2022/06/27 21:07:02 - mmengine - INFO - Epoch(train) [14][3060/3757] lr: 1.000e-02 eta: 23:49:06 time: 0.699 data_time: 0.009 memory: 5148 grad_norm: 5.3092 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0781 loss: 2.0781 2022/06/27 21:07:08 - mmengine - INFO - Epoch(train) [14][3080/3757] lr: 1.000e-02 eta: 23:49:01 time: 0.222 data_time: 0.007 memory: 5148 grad_norm: 4.9362 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1240 loss: 2.1240 2022/06/27 21:07:13 - mmengine - INFO - Epoch(train) [14][3100/3757] lr: 1.000e-02 eta: 23:48:55 time: 0.302 data_time: 0.118 memory: 5148 grad_norm: 4.9266 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1819 loss: 2.1819 2022/06/27 21:07:17 - mmengine - INFO - Epoch(train) [14][3120/3757] lr: 1.000e-02 eta: 23:48:46 time: 0.197 data_time: 0.013 memory: 5148 grad_norm: 5.1987 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0047 loss: 2.0047 2022/06/27 21:07:23 - mmengine - INFO - Epoch(train) [14][3140/3757] lr: 1.000e-02 eta: 23:48:45 time: 0.189 data_time: 0.010 memory: 5148 grad_norm: 5.1920 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7940 loss: 2.7940 2022/06/27 21:07:28 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 21:07:29 - mmengine - INFO - Epoch(train) [14][3160/3757] lr: 1.000e-02 eta: 23:48:39 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 5.7225 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3067 loss: 2.3067 2022/06/27 21:07:34 - mmengine - INFO - Epoch(train) [14][3180/3757] lr: 1.000e-02 eta: 23:48:32 time: 0.217 data_time: 0.010 memory: 5148 grad_norm: 6.0327 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4849 loss: 2.4849 2022/06/27 21:07:39 - mmengine - INFO - Epoch(train) [14][3200/3757] lr: 1.000e-02 eta: 23:48:26 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.0090 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0748 loss: 2.0748 2022/06/27 21:07:45 - mmengine - INFO - Epoch(train) [14][3220/3757] lr: 1.000e-02 eta: 23:48:26 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 4.7485 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2003 loss: 2.2003 2022/06/27 21:07:50 - mmengine - INFO - Epoch(train) [14][3240/3757] lr: 1.000e-02 eta: 23:48:17 time: 0.210 data_time: 0.012 memory: 5148 grad_norm: 5.3468 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1657 loss: 2.1657 2022/06/27 21:07:55 - mmengine - INFO - Epoch(train) [14][3260/3757] lr: 1.000e-02 eta: 23:48:14 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.3384 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2584 loss: 2.2584 2022/06/27 21:08:01 - mmengine - INFO - Epoch(train) [14][3280/3757] lr: 1.000e-02 eta: 23:48:11 time: 0.211 data_time: 0.009 memory: 5148 grad_norm: 4.9170 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6223 loss: 2.6223 2022/06/27 21:08:06 - mmengine - INFO - Epoch(train) [14][3300/3757] lr: 1.000e-02 eta: 23:48:04 time: 0.201 data_time: 0.009 memory: 5148 grad_norm: 5.0636 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.2932 loss: 2.2932 2022/06/27 21:08:11 - mmengine - INFO - Epoch(train) [14][3320/3757] lr: 1.000e-02 eta: 23:47:56 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.5823 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3846 loss: 2.3846 2022/06/27 21:08:17 - mmengine - INFO - Epoch(train) [14][3340/3757] lr: 1.000e-02 eta: 23:47:56 time: 0.190 data_time: 0.015 memory: 5148 grad_norm: 4.6618 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0177 loss: 2.0177 2022/06/27 21:08:22 - mmengine - INFO - Epoch(train) [14][3360/3757] lr: 1.000e-02 eta: 23:47:46 time: 0.192 data_time: 0.010 memory: 5148 grad_norm: 5.8303 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5249 loss: 2.5249 2022/06/27 21:08:28 - mmengine - INFO - Epoch(train) [14][3380/3757] lr: 1.000e-02 eta: 23:47:45 time: 0.190 data_time: 0.007 memory: 5148 grad_norm: 5.3214 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0795 loss: 2.0795 2022/06/27 21:08:32 - mmengine - INFO - Epoch(train) [14][3400/3757] lr: 1.000e-02 eta: 23:47:37 time: 0.208 data_time: 0.013 memory: 5148 grad_norm: 4.8170 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.5982 loss: 2.5982 2022/06/27 21:08:38 - mmengine - INFO - Epoch(train) [14][3420/3757] lr: 1.000e-02 eta: 23:47:32 time: 0.204 data_time: 0.009 memory: 5148 grad_norm: 5.0312 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4462 loss: 2.4462 2022/06/27 21:08:44 - mmengine - INFO - Epoch(train) [14][3440/3757] lr: 1.000e-02 eta: 23:47:31 time: 0.192 data_time: 0.010 memory: 5148 grad_norm: 5.5522 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1792 loss: 2.1792 2022/06/27 21:08:49 - mmengine - INFO - Epoch(train) [14][3460/3757] lr: 1.000e-02 eta: 23:47:28 time: 0.214 data_time: 0.010 memory: 5148 grad_norm: 5.5459 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2051 loss: 2.2051 2022/06/27 21:08:54 - mmengine - INFO - Epoch(train) [14][3480/3757] lr: 1.000e-02 eta: 23:47:15 time: 0.194 data_time: 0.009 memory: 5148 grad_norm: 5.4074 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7991 loss: 1.7991 2022/06/27 21:08:59 - mmengine - INFO - Epoch(train) [14][3500/3757] lr: 1.000e-02 eta: 23:47:12 time: 0.198 data_time: 0.012 memory: 5148 grad_norm: 5.3035 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2050 loss: 2.2050 2022/06/27 21:09:05 - mmengine - INFO - Epoch(train) [14][3520/3757] lr: 1.000e-02 eta: 23:47:08 time: 0.198 data_time: 0.013 memory: 5148 grad_norm: 5.8819 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9201 loss: 1.9201 2022/06/27 21:09:09 - mmengine - INFO - Epoch(train) [14][3540/3757] lr: 1.000e-02 eta: 23:46:58 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 5.8543 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4198 loss: 2.4198 2022/06/27 21:09:15 - mmengine - INFO - Epoch(train) [14][3560/3757] lr: 1.000e-02 eta: 23:46:53 time: 0.189 data_time: 0.010 memory: 5148 grad_norm: 4.9986 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6269 loss: 2.6269 2022/06/27 21:09:20 - mmengine - INFO - Epoch(train) [14][3580/3757] lr: 1.000e-02 eta: 23:46:50 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.8744 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0986 loss: 2.0986 2022/06/27 21:09:25 - mmengine - INFO - Epoch(train) [14][3600/3757] lr: 1.000e-02 eta: 23:46:40 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 5.1272 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3130 loss: 2.3130 2022/06/27 21:09:30 - mmengine - INFO - Epoch(train) [14][3620/3757] lr: 1.000e-02 eta: 23:46:35 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 5.6636 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6064 loss: 2.6064 2022/06/27 21:09:36 - mmengine - INFO - Epoch(train) [14][3640/3757] lr: 1.000e-02 eta: 23:46:31 time: 0.194 data_time: 0.011 memory: 5148 grad_norm: 5.6409 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0426 loss: 2.0426 2022/06/27 21:09:41 - mmengine - INFO - Epoch(train) [14][3660/3757] lr: 1.000e-02 eta: 23:46:25 time: 0.190 data_time: 0.010 memory: 5148 grad_norm: 6.5461 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5588 loss: 2.5588 2022/06/27 21:09:47 - mmengine - INFO - Epoch(train) [14][3680/3757] lr: 1.000e-02 eta: 23:46:23 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 5.3868 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4284 loss: 2.4284 2022/06/27 21:09:52 - mmengine - INFO - Epoch(train) [14][3700/3757] lr: 1.000e-02 eta: 23:46:19 time: 0.212 data_time: 0.005 memory: 5148 grad_norm: 5.5862 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6596 loss: 2.6596 2022/06/27 21:09:57 - mmengine - INFO - Epoch(train) [14][3720/3757] lr: 1.000e-02 eta: 23:46:10 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.7772 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2012 loss: 2.2012 2022/06/27 21:10:03 - mmengine - INFO - Epoch(train) [14][3740/3757] lr: 1.000e-02 eta: 23:46:12 time: 0.553 data_time: 0.010 memory: 5148 grad_norm: 6.4416 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0935 loss: 2.0935 2022/06/27 21:10:06 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 21:10:13 - mmengine - INFO - Epoch(val) [14][20/310] eta: 0:01:01 time: 0.118 data_time: 0.041 memory: 5148 2022/06/27 21:10:18 - mmengine - INFO - Epoch(val) [14][40/310] eta: 0:01:02 time: 0.086 data_time: 0.005 memory: 1367 2022/06/27 21:10:24 - mmengine - INFO - Epoch(val) [14][60/310] eta: 0:00:52 time: 0.076 data_time: 0.005 memory: 1367 2022/06/27 21:10:28 - mmengine - INFO - Epoch(val) [14][80/310] eta: 0:00:50 time: 0.085 data_time: 0.009 memory: 1367 2022/06/27 21:10:34 - mmengine - INFO - Epoch(val) [14][100/310] eta: 0:00:49 time: 0.082 data_time: 0.005 memory: 1367 2022/06/27 21:10:39 - mmengine - INFO - Epoch(val) [14][120/310] eta: 0:00:42 time: 0.093 data_time: 0.013 memory: 1367 2022/06/27 21:10:45 - mmengine - INFO - Epoch(val) [14][140/310] eta: 0:00:42 time: 0.350 data_time: 0.272 memory: 1367 2022/06/27 21:10:49 - mmengine - INFO - Epoch(val) [14][160/310] eta: 0:00:32 time: 0.085 data_time: 0.009 memory: 1367 2022/06/27 21:10:56 - mmengine - INFO - Epoch(val) [14][180/310] eta: 0:00:40 time: 0.676 data_time: 0.599 memory: 1367 2022/06/27 21:11:00 - mmengine - INFO - Epoch(val) [14][200/310] eta: 0:00:27 time: 0.077 data_time: 0.005 memory: 1367 2022/06/27 21:11:06 - mmengine - INFO - Epoch(val) [14][220/310] eta: 0:00:27 time: 0.076 data_time: 0.005 memory: 1367 2022/06/27 21:11:11 - mmengine - INFO - Epoch(val) [14][240/310] eta: 0:00:16 time: 0.082 data_time: 0.005 memory: 1367 2022/06/27 21:11:17 - mmengine - INFO - Epoch(val) [14][260/310] eta: 0:00:13 time: 0.218 data_time: 0.148 memory: 1367 2022/06/27 21:11:22 - mmengine - INFO - Epoch(val) [14][280/310] eta: 0:00:06 time: 0.077 data_time: 0.005 memory: 1367 2022/06/27 21:11:27 - mmengine - INFO - Epoch(val) [14][300/310] eta: 0:00:02 time: 0.154 data_time: 0.078 memory: 1367 2022/06/27 21:11:30 - mmengine - INFO - Epoch(val) [14][310/310] acc/top1: 0.5115 acc/top5: 0.7707 acc/mean1: 0.5113 2022/06/27 21:11:39 - mmengine - INFO - Epoch(train) [15][20/3757] lr: 1.000e-02 eta: 23:46:04 time: 0.192 data_time: 0.006 memory: 5148 grad_norm: 6.2029 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2918 loss: 2.2918 2022/06/27 21:11:45 - mmengine - INFO - Epoch(train) [15][40/3757] lr: 1.000e-02 eta: 23:46:03 time: 0.188 data_time: 0.012 memory: 5148 grad_norm: 5.2413 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3240 loss: 2.3240 2022/06/27 21:11:49 - mmengine - INFO - Epoch(train) [15][60/3757] lr: 1.000e-02 eta: 23:45:52 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 5.2812 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6682 loss: 2.6682 2022/06/27 21:11:55 - mmengine - INFO - Epoch(train) [15][80/3757] lr: 1.000e-02 eta: 23:45:49 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.7987 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6261 loss: 1.6261 2022/06/27 21:12:00 - mmengine - INFO - Epoch(train) [15][100/3757] lr: 1.000e-02 eta: 23:45:44 time: 0.195 data_time: 0.009 memory: 5148 grad_norm: 5.7954 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1322 loss: 2.1322 2022/06/27 21:12:05 - mmengine - INFO - Epoch(train) [15][120/3757] lr: 1.000e-02 eta: 23:45:37 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 5.4992 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4191 loss: 2.4191 2022/06/27 21:12:11 - mmengine - INFO - Epoch(train) [15][140/3757] lr: 1.000e-02 eta: 23:45:34 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 6.1499 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0334 loss: 2.0334 2022/06/27 21:12:16 - mmengine - INFO - Epoch(train) [15][160/3757] lr: 1.000e-02 eta: 23:45:30 time: 0.222 data_time: 0.014 memory: 5148 grad_norm: 5.9538 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5153 loss: 1.5153 2022/06/27 21:12:21 - mmengine - INFO - Epoch(train) [15][180/3757] lr: 1.000e-02 eta: 23:45:20 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.5603 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6186 loss: 2.6186 2022/06/27 21:12:27 - mmengine - INFO - Epoch(train) [15][200/3757] lr: 1.000e-02 eta: 23:45:19 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 4.4703 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2848 loss: 2.2848 2022/06/27 21:12:32 - mmengine - INFO - Epoch(train) [15][220/3757] lr: 1.000e-02 eta: 23:45:13 time: 0.190 data_time: 0.010 memory: 5148 grad_norm: 5.6906 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2936 loss: 2.2936 2022/06/27 21:12:36 - mmengine - INFO - Epoch(train) [15][240/3757] lr: 1.000e-02 eta: 23:45:03 time: 0.189 data_time: 0.007 memory: 5148 grad_norm: 5.4654 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8712 loss: 1.8712 2022/06/27 21:12:42 - mmengine - INFO - Epoch(train) [15][260/3757] lr: 1.000e-02 eta: 23:45:00 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 5.3456 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3463 loss: 2.3463 2022/06/27 21:12:48 - mmengine - INFO - Epoch(train) [15][280/3757] lr: 1.000e-02 eta: 23:44:56 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.1032 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9542 loss: 1.9542 2022/06/27 21:12:52 - mmengine - INFO - Epoch(train) [15][300/3757] lr: 1.000e-02 eta: 23:44:47 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 4.7799 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1612 loss: 2.1612 2022/06/27 21:12:58 - mmengine - INFO - Epoch(train) [15][320/3757] lr: 1.000e-02 eta: 23:44:44 time: 0.191 data_time: 0.009 memory: 5148 grad_norm: 5.2525 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2850 loss: 2.2850 2022/06/27 21:13:03 - mmengine - INFO - Epoch(train) [15][340/3757] lr: 1.000e-02 eta: 23:44:38 time: 0.278 data_time: 0.014 memory: 5148 grad_norm: 5.3526 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2170 loss: 2.2170 2022/06/27 21:13:08 - mmengine - INFO - Epoch(train) [15][360/3757] lr: 1.000e-02 eta: 23:44:30 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.7928 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2803 loss: 2.2803 2022/06/27 21:13:14 - mmengine - INFO - Epoch(train) [15][380/3757] lr: 1.000e-02 eta: 23:44:28 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.5240 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5538 loss: 2.5538 2022/06/27 21:13:19 - mmengine - INFO - Epoch(train) [15][400/3757] lr: 1.000e-02 eta: 23:44:24 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 4.8474 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8806 loss: 1.8806 2022/06/27 21:13:20 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 21:13:25 - mmengine - INFO - Epoch(train) [15][420/3757] lr: 1.000e-02 eta: 23:44:18 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.2202 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1441 loss: 2.1441 2022/06/27 21:13:30 - mmengine - INFO - Epoch(train) [15][440/3757] lr: 1.000e-02 eta: 23:44:13 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 5.6354 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.5564 loss: 2.5564 2022/06/27 21:13:35 - mmengine - INFO - Epoch(train) [15][460/3757] lr: 1.000e-02 eta: 23:44:07 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.1026 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2302 loss: 2.2302 2022/06/27 21:13:40 - mmengine - INFO - Epoch(train) [15][480/3757] lr: 1.000e-02 eta: 23:44:00 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 4.9788 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1128 loss: 2.1128 2022/06/27 21:13:46 - mmengine - INFO - Epoch(train) [15][500/3757] lr: 1.000e-02 eta: 23:43:55 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.6392 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9634 loss: 1.9634 2022/06/27 21:13:51 - mmengine - INFO - Epoch(train) [15][520/3757] lr: 1.000e-02 eta: 23:43:50 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 4.9771 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1258 loss: 2.1258 2022/06/27 21:13:56 - mmengine - INFO - Epoch(train) [15][540/3757] lr: 1.000e-02 eta: 23:43:41 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 5.3756 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2905 loss: 2.2905 2022/06/27 21:14:01 - mmengine - INFO - Epoch(train) [15][560/3757] lr: 1.000e-02 eta: 23:43:37 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 5.7829 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0900 loss: 2.0900 2022/06/27 21:14:07 - mmengine - INFO - Epoch(train) [15][580/3757] lr: 1.000e-02 eta: 23:43:36 time: 0.190 data_time: 0.006 memory: 5148 grad_norm: 4.9775 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6624 loss: 2.6624 2022/06/27 21:14:11 - mmengine - INFO - Epoch(train) [15][600/3757] lr: 1.000e-02 eta: 23:43:24 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 6.0509 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7750 loss: 1.7750 2022/06/27 21:14:16 - mmengine - INFO - Epoch(train) [15][620/3757] lr: 1.000e-02 eta: 23:43:17 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.7556 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1202 loss: 2.1202 2022/06/27 21:14:22 - mmengine - INFO - Epoch(train) [15][640/3757] lr: 1.000e-02 eta: 23:43:12 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 5.4719 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1157 loss: 2.1157 2022/06/27 21:14:27 - mmengine - INFO - Epoch(train) [15][660/3757] lr: 1.000e-02 eta: 23:43:08 time: 0.787 data_time: 0.007 memory: 5148 grad_norm: 5.6615 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.5776 loss: 2.5776 2022/06/27 21:14:32 - mmengine - INFO - Epoch(train) [15][680/3757] lr: 1.000e-02 eta: 23:43:02 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 5.5152 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2319 loss: 2.2319 2022/06/27 21:14:38 - mmengine - INFO - Epoch(train) [15][700/3757] lr: 1.000e-02 eta: 23:42:59 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.5700 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1861 loss: 2.1861 2022/06/27 21:14:43 - mmengine - INFO - Epoch(train) [15][720/3757] lr: 1.000e-02 eta: 23:42:51 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 5.0791 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6523 loss: 2.6523 2022/06/27 21:14:48 - mmengine - INFO - Epoch(train) [15][740/3757] lr: 1.000e-02 eta: 23:42:46 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.8147 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2512 loss: 2.2512 2022/06/27 21:14:54 - mmengine - INFO - Epoch(train) [15][760/3757] lr: 1.000e-02 eta: 23:42:45 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.0357 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0906 loss: 2.0906 2022/06/27 21:14:59 - mmengine - INFO - Epoch(train) [15][780/3757] lr: 1.000e-02 eta: 23:42:35 time: 0.215 data_time: 0.006 memory: 5148 grad_norm: 5.2863 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2302 loss: 2.2302 2022/06/27 21:15:06 - mmengine - INFO - Epoch(train) [15][800/3757] lr: 1.000e-02 eta: 23:42:38 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.4983 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3711 loss: 2.3711 2022/06/27 21:15:10 - mmengine - INFO - Epoch(train) [15][820/3757] lr: 1.000e-02 eta: 23:42:26 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.9947 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0681 loss: 2.0681 2022/06/27 21:15:14 - mmengine - INFO - Epoch(train) [15][840/3757] lr: 1.000e-02 eta: 23:42:16 time: 0.198 data_time: 0.013 memory: 5148 grad_norm: 6.1663 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2704 loss: 2.2704 2022/06/27 21:15:20 - mmengine - INFO - Epoch(train) [15][860/3757] lr: 1.000e-02 eta: 23:42:11 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 6.1550 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4382 loss: 2.4382 2022/06/27 21:15:25 - mmengine - INFO - Epoch(train) [15][880/3757] lr: 1.000e-02 eta: 23:42:07 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.7644 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.4404 loss: 2.4404 2022/06/27 21:15:30 - mmengine - INFO - Epoch(train) [15][900/3757] lr: 1.000e-02 eta: 23:42:00 time: 0.209 data_time: 0.011 memory: 5148 grad_norm: 4.8686 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6836 loss: 1.6836 2022/06/27 21:15:35 - mmengine - INFO - Epoch(train) [15][920/3757] lr: 1.000e-02 eta: 23:41:52 time: 0.193 data_time: 0.008 memory: 5148 grad_norm: 5.4409 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0941 loss: 2.0941 2022/06/27 21:15:41 - mmengine - INFO - Epoch(train) [15][940/3757] lr: 1.000e-02 eta: 23:41:49 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.4563 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9765 loss: 1.9765 2022/06/27 21:15:46 - mmengine - INFO - Epoch(train) [15][960/3757] lr: 1.000e-02 eta: 23:41:45 time: 0.193 data_time: 0.008 memory: 5148 grad_norm: 5.0918 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1186 loss: 2.1186 2022/06/27 21:15:51 - mmengine - INFO - Epoch(train) [15][980/3757] lr: 1.000e-02 eta: 23:41:37 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.2328 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1812 loss: 2.1812 2022/06/27 21:15:56 - mmengine - INFO - Epoch(train) [15][1000/3757] lr: 1.000e-02 eta: 23:41:33 time: 0.206 data_time: 0.006 memory: 5148 grad_norm: 5.4237 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8638 loss: 2.8638 2022/06/27 21:16:03 - mmengine - INFO - Epoch(train) [15][1020/3757] lr: 1.000e-02 eta: 23:41:33 time: 0.208 data_time: 0.006 memory: 5148 grad_norm: 5.4344 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6927 loss: 2.6927 2022/06/27 21:16:08 - mmengine - INFO - Epoch(train) [15][1040/3757] lr: 1.000e-02 eta: 23:41:26 time: 0.189 data_time: 0.011 memory: 5148 grad_norm: 5.6677 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2823 loss: 2.2823 2022/06/27 21:16:13 - mmengine - INFO - Epoch(train) [15][1060/3757] lr: 1.000e-02 eta: 23:41:22 time: 0.274 data_time: 0.007 memory: 5148 grad_norm: 5.1748 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1391 loss: 2.1391 2022/06/27 21:16:19 - mmengine - INFO - Epoch(train) [15][1080/3757] lr: 1.000e-02 eta: 23:41:17 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 5.7851 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5138 loss: 2.5138 2022/06/27 21:16:24 - mmengine - INFO - Epoch(train) [15][1100/3757] lr: 1.000e-02 eta: 23:41:13 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.0179 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1743 loss: 2.1743 2022/06/27 21:16:29 - mmengine - INFO - Epoch(train) [15][1120/3757] lr: 1.000e-02 eta: 23:41:06 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 5.3263 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3713 loss: 2.3713 2022/06/27 21:16:35 - mmengine - INFO - Epoch(train) [15][1140/3757] lr: 1.000e-02 eta: 23:41:03 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 5.7982 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5561 loss: 2.5561 2022/06/27 21:16:40 - mmengine - INFO - Epoch(train) [15][1160/3757] lr: 1.000e-02 eta: 23:40:55 time: 0.190 data_time: 0.009 memory: 5148 grad_norm: 5.6722 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4755 loss: 2.4755 2022/06/27 21:16:46 - mmengine - INFO - Epoch(train) [15][1180/3757] lr: 1.000e-02 eta: 23:40:54 time: 0.192 data_time: 0.009 memory: 5148 grad_norm: 5.1087 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9426 loss: 1.9426 2022/06/27 21:16:51 - mmengine - INFO - Epoch(train) [15][1200/3757] lr: 1.000e-02 eta: 23:40:50 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 5.8365 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.9187 loss: 1.9187 2022/06/27 21:16:56 - mmengine - INFO - Epoch(train) [15][1220/3757] lr: 1.000e-02 eta: 23:40:42 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.7046 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4617 loss: 2.4617 2022/06/27 21:17:01 - mmengine - INFO - Epoch(train) [15][1240/3757] lr: 1.000e-02 eta: 23:40:35 time: 0.192 data_time: 0.012 memory: 5148 grad_norm: 5.3311 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0622 loss: 2.0622 2022/06/27 21:17:06 - mmengine - INFO - Epoch(train) [15][1260/3757] lr: 1.000e-02 eta: 23:40:30 time: 0.238 data_time: 0.006 memory: 5148 grad_norm: 5.4909 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0433 loss: 2.0433 2022/06/27 21:17:12 - mmengine - INFO - Epoch(train) [15][1280/3757] lr: 1.000e-02 eta: 23:40:24 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 4.7250 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3615 loss: 2.3615 2022/06/27 21:17:17 - mmengine - INFO - Epoch(train) [15][1300/3757] lr: 1.000e-02 eta: 23:40:18 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.3674 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1061 loss: 2.1061 2022/06/27 21:17:22 - mmengine - INFO - Epoch(train) [15][1320/3757] lr: 1.000e-02 eta: 23:40:13 time: 0.191 data_time: 0.015 memory: 5148 grad_norm: 5.5669 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8666 loss: 1.8666 2022/06/27 21:17:27 - mmengine - INFO - Epoch(train) [15][1340/3757] lr: 1.000e-02 eta: 23:40:07 time: 0.193 data_time: 0.011 memory: 5148 grad_norm: 5.8372 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4136 loss: 2.4136 2022/06/27 21:17:32 - mmengine - INFO - Epoch(train) [15][1360/3757] lr: 1.000e-02 eta: 23:40:01 time: 0.235 data_time: 0.006 memory: 5148 grad_norm: 5.8384 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3325 loss: 2.3325 2022/06/27 21:17:38 - mmengine - INFO - Epoch(train) [15][1380/3757] lr: 1.000e-02 eta: 23:39:57 time: 0.213 data_time: 0.012 memory: 5148 grad_norm: 5.7993 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1052 loss: 2.1052 2022/06/27 21:17:43 - mmengine - INFO - Epoch(train) [15][1400/3757] lr: 1.000e-02 eta: 23:39:52 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 5.1937 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2402 loss: 2.2402 2022/06/27 21:17:44 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 21:17:49 - mmengine - INFO - Epoch(train) [15][1420/3757] lr: 1.000e-02 eta: 23:39:48 time: 1.069 data_time: 0.010 memory: 5148 grad_norm: 4.9421 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9809 loss: 1.9809 2022/06/27 21:17:54 - mmengine - INFO - Epoch(train) [15][1440/3757] lr: 1.000e-02 eta: 23:39:41 time: 0.224 data_time: 0.037 memory: 5148 grad_norm: 5.8161 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3192 loss: 2.3192 2022/06/27 21:17:59 - mmengine - INFO - Epoch(train) [15][1460/3757] lr: 1.000e-02 eta: 23:39:36 time: 0.189 data_time: 0.006 memory: 5148 grad_norm: 5.6146 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4166 loss: 2.4166 2022/06/27 21:18:04 - mmengine - INFO - Epoch(train) [15][1480/3757] lr: 1.000e-02 eta: 23:39:28 time: 0.294 data_time: 0.006 memory: 5148 grad_norm: 5.2871 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.6957 loss: 2.6957 2022/06/27 21:18:10 - mmengine - INFO - Epoch(train) [15][1500/3757] lr: 1.000e-02 eta: 23:39:24 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 5.5790 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1213 loss: 2.1213 2022/06/27 21:18:15 - mmengine - INFO - Epoch(train) [15][1520/3757] lr: 1.000e-02 eta: 23:39:20 time: 0.205 data_time: 0.014 memory: 5148 grad_norm: 4.8625 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0777 loss: 2.0777 2022/06/27 21:18:20 - mmengine - INFO - Epoch(train) [15][1540/3757] lr: 1.000e-02 eta: 23:39:13 time: 0.716 data_time: 0.006 memory: 5148 grad_norm: 4.9541 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2110 loss: 2.2110 2022/06/27 21:18:25 - mmengine - INFO - Epoch(train) [15][1560/3757] lr: 1.000e-02 eta: 23:39:07 time: 0.201 data_time: 0.022 memory: 5148 grad_norm: 5.4027 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9696 loss: 2.9696 2022/06/27 21:18:31 - mmengine - INFO - Epoch(train) [15][1580/3757] lr: 1.000e-02 eta: 23:39:05 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.1829 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1598 loss: 2.1598 2022/06/27 21:18:36 - mmengine - INFO - Epoch(train) [15][1600/3757] lr: 1.000e-02 eta: 23:38:59 time: 0.205 data_time: 0.006 memory: 5148 grad_norm: 5.6063 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1281 loss: 2.1281 2022/06/27 21:18:41 - mmengine - INFO - Epoch(train) [15][1620/3757] lr: 1.000e-02 eta: 23:38:48 time: 0.207 data_time: 0.012 memory: 5148 grad_norm: 5.5046 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3139 loss: 2.3139 2022/06/27 21:18:46 - mmengine - INFO - Epoch(train) [15][1640/3757] lr: 1.000e-02 eta: 23:38:43 time: 0.188 data_time: 0.007 memory: 5148 grad_norm: 6.3805 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0094 loss: 2.0094 2022/06/27 21:18:52 - mmengine - INFO - Epoch(train) [15][1660/3757] lr: 1.000e-02 eta: 23:38:41 time: 1.016 data_time: 0.011 memory: 5148 grad_norm: 5.2691 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6684 loss: 2.6684 2022/06/27 21:18:57 - mmengine - INFO - Epoch(train) [15][1680/3757] lr: 1.000e-02 eta: 23:38:32 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 4.7210 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1115 loss: 2.1115 2022/06/27 21:19:02 - mmengine - INFO - Epoch(train) [15][1700/3757] lr: 1.000e-02 eta: 23:38:27 time: 0.196 data_time: 0.013 memory: 5148 grad_norm: 5.9770 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3695 loss: 2.3695 2022/06/27 21:19:07 - mmengine - INFO - Epoch(train) [15][1720/3757] lr: 1.000e-02 eta: 23:38:23 time: 0.936 data_time: 0.010 memory: 5148 grad_norm: 5.5392 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2300 loss: 2.2300 2022/06/27 21:19:12 - mmengine - INFO - Epoch(train) [15][1740/3757] lr: 1.000e-02 eta: 23:38:14 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 5.2857 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4194 loss: 2.4194 2022/06/27 21:19:18 - mmengine - INFO - Epoch(train) [15][1760/3757] lr: 1.000e-02 eta: 23:38:12 time: 0.193 data_time: 0.009 memory: 5148 grad_norm: 5.5983 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3236 loss: 2.3236 2022/06/27 21:19:23 - mmengine - INFO - Epoch(train) [15][1780/3757] lr: 1.000e-02 eta: 23:38:05 time: 1.070 data_time: 0.010 memory: 5148 grad_norm: 5.2252 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2156 loss: 2.2156 2022/06/27 21:19:27 - mmengine - INFO - Epoch(train) [15][1800/3757] lr: 1.000e-02 eta: 23:37:54 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 6.2766 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8683 loss: 1.8683 2022/06/27 21:19:33 - mmengine - INFO - Epoch(train) [15][1820/3757] lr: 1.000e-02 eta: 23:37:50 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 4.9654 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3921 loss: 2.3921 2022/06/27 21:19:38 - mmengine - INFO - Epoch(train) [15][1840/3757] lr: 1.000e-02 eta: 23:37:46 time: 1.044 data_time: 0.007 memory: 5148 grad_norm: 4.9319 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6576 loss: 2.6576 2022/06/27 21:19:43 - mmengine - INFO - Epoch(train) [15][1860/3757] lr: 1.000e-02 eta: 23:37:38 time: 0.208 data_time: 0.011 memory: 5148 grad_norm: 6.0337 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5506 loss: 2.5506 2022/06/27 21:19:48 - mmengine - INFO - Epoch(train) [15][1880/3757] lr: 1.000e-02 eta: 23:37:33 time: 0.193 data_time: 0.016 memory: 5148 grad_norm: 6.0601 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4621 loss: 2.4621 2022/06/27 21:19:54 - mmengine - INFO - Epoch(train) [15][1900/3757] lr: 1.000e-02 eta: 23:37:29 time: 0.226 data_time: 0.008 memory: 5148 grad_norm: 5.5317 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1321 loss: 2.1321 2022/06/27 21:19:59 - mmengine - INFO - Epoch(train) [15][1920/3757] lr: 1.000e-02 eta: 23:37:21 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 5.4169 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1888 loss: 2.1888 2022/06/27 21:20:05 - mmengine - INFO - Epoch(train) [15][1940/3757] lr: 1.000e-02 eta: 23:37:20 time: 0.192 data_time: 0.009 memory: 5148 grad_norm: 5.5982 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0000 loss: 2.0000 2022/06/27 21:20:10 - mmengine - INFO - Epoch(train) [15][1960/3757] lr: 1.000e-02 eta: 23:37:16 time: 0.491 data_time: 0.010 memory: 5148 grad_norm: 5.4174 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4289 loss: 2.4289 2022/06/27 21:20:16 - mmengine - INFO - Epoch(train) [15][1980/3757] lr: 1.000e-02 eta: 23:37:11 time: 0.570 data_time: 0.007 memory: 5148 grad_norm: 5.9885 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6280 loss: 2.6280 2022/06/27 21:20:21 - mmengine - INFO - Epoch(train) [15][2000/3757] lr: 1.000e-02 eta: 23:37:06 time: 0.185 data_time: 0.008 memory: 5148 grad_norm: 5.2785 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3542 loss: 2.3542 2022/06/27 21:20:27 - mmengine - INFO - Epoch(train) [15][2020/3757] lr: 1.000e-02 eta: 23:37:02 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 5.4810 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2420 loss: 2.2420 2022/06/27 21:20:32 - mmengine - INFO - Epoch(train) [15][2040/3757] lr: 1.000e-02 eta: 23:36:57 time: 0.457 data_time: 0.007 memory: 5148 grad_norm: 5.7234 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4097 loss: 2.4097 2022/06/27 21:20:37 - mmengine - INFO - Epoch(train) [15][2060/3757] lr: 1.000e-02 eta: 23:36:52 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.5355 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5117 loss: 2.5117 2022/06/27 21:20:43 - mmengine - INFO - Epoch(train) [15][2080/3757] lr: 1.000e-02 eta: 23:36:48 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 5.6551 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1630 loss: 2.1630 2022/06/27 21:20:49 - mmengine - INFO - Epoch(train) [15][2100/3757] lr: 1.000e-02 eta: 23:36:45 time: 1.115 data_time: 0.007 memory: 5148 grad_norm: 5.8185 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.2373 loss: 2.2373 2022/06/27 21:20:53 - mmengine - INFO - Epoch(train) [15][2120/3757] lr: 1.000e-02 eta: 23:36:37 time: 0.195 data_time: 0.014 memory: 5148 grad_norm: 5.8515 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2118 loss: 2.2118 2022/06/27 21:20:59 - mmengine - INFO - Epoch(train) [15][2140/3757] lr: 1.000e-02 eta: 23:36:31 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.1680 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3281 loss: 2.3281 2022/06/27 21:21:04 - mmengine - INFO - Epoch(train) [15][2160/3757] lr: 1.000e-02 eta: 23:36:27 time: 0.440 data_time: 0.010 memory: 5148 grad_norm: 5.3619 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8261 loss: 2.8261 2022/06/27 21:21:09 - mmengine - INFO - Epoch(train) [15][2180/3757] lr: 1.000e-02 eta: 23:36:19 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.9802 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0411 loss: 2.0411 2022/06/27 21:21:16 - mmengine - INFO - Epoch(train) [15][2200/3757] lr: 1.000e-02 eta: 23:36:22 time: 0.195 data_time: 0.006 memory: 5148 grad_norm: 5.5119 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4550 loss: 2.4550 2022/06/27 21:21:20 - mmengine - INFO - Epoch(train) [15][2220/3757] lr: 1.000e-02 eta: 23:36:09 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 5.9718 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5077 loss: 2.5077 2022/06/27 21:21:24 - mmengine - INFO - Epoch(train) [15][2240/3757] lr: 1.000e-02 eta: 23:36:00 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.7156 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3321 loss: 2.3321 2022/06/27 21:21:30 - mmengine - INFO - Epoch(train) [15][2260/3757] lr: 1.000e-02 eta: 23:35:56 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 5.4081 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2549 loss: 2.2549 2022/06/27 21:21:35 - mmengine - INFO - Epoch(train) [15][2280/3757] lr: 1.000e-02 eta: 23:35:51 time: 0.271 data_time: 0.007 memory: 5148 grad_norm: 5.0403 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1636 loss: 2.1636 2022/06/27 21:21:40 - mmengine - INFO - Epoch(train) [15][2300/3757] lr: 1.000e-02 eta: 23:35:44 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 5.7273 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4734 loss: 2.4734 2022/06/27 21:21:46 - mmengine - INFO - Epoch(train) [15][2320/3757] lr: 1.000e-02 eta: 23:35:40 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 6.0046 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1541 loss: 2.1541 2022/06/27 21:21:52 - mmengine - INFO - Epoch(train) [15][2340/3757] lr: 1.000e-02 eta: 23:35:38 time: 0.399 data_time: 0.006 memory: 5148 grad_norm: 5.3424 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3471 loss: 2.3471 2022/06/27 21:21:56 - mmengine - INFO - Epoch(train) [15][2360/3757] lr: 1.000e-02 eta: 23:35:28 time: 0.199 data_time: 0.019 memory: 5148 grad_norm: 5.5368 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1880 loss: 2.1880 2022/06/27 21:22:02 - mmengine - INFO - Epoch(train) [15][2380/3757] lr: 1.000e-02 eta: 23:35:25 time: 0.196 data_time: 0.006 memory: 5148 grad_norm: 5.0925 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4295 loss: 2.4295 2022/06/27 21:22:08 - mmengine - INFO - Epoch(train) [15][2400/3757] lr: 1.000e-02 eta: 23:35:23 time: 0.359 data_time: 0.007 memory: 5148 grad_norm: 5.6497 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8991 loss: 1.8991 2022/06/27 21:22:08 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 21:22:13 - mmengine - INFO - Epoch(train) [15][2420/3757] lr: 1.000e-02 eta: 23:35:16 time: 0.200 data_time: 0.012 memory: 5148 grad_norm: 5.2325 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4073 loss: 2.4073 2022/06/27 21:22:18 - mmengine - INFO - Epoch(train) [15][2440/3757] lr: 1.000e-02 eta: 23:35:12 time: 0.302 data_time: 0.006 memory: 5148 grad_norm: 5.0132 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0615 loss: 2.0615 2022/06/27 21:22:23 - mmengine - INFO - Epoch(train) [15][2460/3757] lr: 1.000e-02 eta: 23:35:06 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.8516 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3489 loss: 2.3489 2022/06/27 21:22:29 - mmengine - INFO - Epoch(train) [15][2480/3757] lr: 1.000e-02 eta: 23:35:01 time: 0.191 data_time: 0.008 memory: 5148 grad_norm: 5.6199 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1596 loss: 2.1596 2022/06/27 21:22:34 - mmengine - INFO - Epoch(train) [15][2500/3757] lr: 1.000e-02 eta: 23:34:56 time: 0.442 data_time: 0.006 memory: 5148 grad_norm: 5.9459 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0785 loss: 2.0785 2022/06/27 21:22:39 - mmengine - INFO - Epoch(train) [15][2520/3757] lr: 1.000e-02 eta: 23:34:50 time: 0.331 data_time: 0.007 memory: 5148 grad_norm: 5.6497 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6206 loss: 2.6206 2022/06/27 21:22:45 - mmengine - INFO - Epoch(train) [15][2540/3757] lr: 1.000e-02 eta: 23:34:45 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 5.2302 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8504 loss: 1.8504 2022/06/27 21:22:50 - mmengine - INFO - Epoch(train) [15][2560/3757] lr: 1.000e-02 eta: 23:34:40 time: 0.398 data_time: 0.008 memory: 5148 grad_norm: 5.7809 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4158 loss: 2.4158 2022/06/27 21:22:56 - mmengine - INFO - Epoch(train) [15][2580/3757] lr: 1.000e-02 eta: 23:34:41 time: 0.196 data_time: 0.009 memory: 5148 grad_norm: 5.2811 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0904 loss: 2.0904 2022/06/27 21:23:01 - mmengine - INFO - Epoch(train) [15][2600/3757] lr: 1.000e-02 eta: 23:34:33 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.6400 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2792 loss: 2.2792 2022/06/27 21:23:06 - mmengine - INFO - Epoch(train) [15][2620/3757] lr: 1.000e-02 eta: 23:34:25 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.2764 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.1803 loss: 2.1803 2022/06/27 21:23:12 - mmengine - INFO - Epoch(train) [15][2640/3757] lr: 1.000e-02 eta: 23:34:22 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 5.4553 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4732 loss: 2.4732 2022/06/27 21:23:18 - mmengine - INFO - Epoch(train) [15][2660/3757] lr: 1.000e-02 eta: 23:34:22 time: 0.192 data_time: 0.008 memory: 5148 grad_norm: 4.9842 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0993 loss: 2.0993 2022/06/27 21:23:23 - mmengine - INFO - Epoch(train) [15][2680/3757] lr: 1.000e-02 eta: 23:34:14 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 6.3715 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1896 loss: 2.1896 2022/06/27 21:23:28 - mmengine - INFO - Epoch(train) [15][2700/3757] lr: 1.000e-02 eta: 23:34:09 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 5.1034 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2832 loss: 2.2832 2022/06/27 21:23:34 - mmengine - INFO - Epoch(train) [15][2720/3757] lr: 1.000e-02 eta: 23:34:06 time: 0.195 data_time: 0.006 memory: 5148 grad_norm: 5.8322 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.8004 loss: 2.8004 2022/06/27 21:23:39 - mmengine - INFO - Epoch(train) [15][2740/3757] lr: 1.000e-02 eta: 23:33:57 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.0399 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8448 loss: 1.8448 2022/06/27 21:23:45 - mmengine - INFO - Epoch(train) [15][2760/3757] lr: 1.000e-02 eta: 23:33:56 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 5.1866 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4461 loss: 2.4461 2022/06/27 21:23:50 - mmengine - INFO - Epoch(train) [15][2780/3757] lr: 1.000e-02 eta: 23:33:53 time: 0.191 data_time: 0.006 memory: 5148 grad_norm: 5.5918 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3301 loss: 2.3301 2022/06/27 21:23:55 - mmengine - INFO - Epoch(train) [15][2800/3757] lr: 1.000e-02 eta: 23:33:48 time: 0.194 data_time: 0.009 memory: 5148 grad_norm: 5.5400 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7367 loss: 2.7367 2022/06/27 21:24:00 - mmengine - INFO - Epoch(train) [15][2820/3757] lr: 1.000e-02 eta: 23:33:38 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 4.8013 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1816 loss: 2.1816 2022/06/27 21:24:06 - mmengine - INFO - Epoch(train) [15][2840/3757] lr: 1.000e-02 eta: 23:33:36 time: 0.201 data_time: 0.020 memory: 5148 grad_norm: 5.5023 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.9093 loss: 1.9093 2022/06/27 21:24:11 - mmengine - INFO - Epoch(train) [15][2860/3757] lr: 1.000e-02 eta: 23:33:28 time: 0.190 data_time: 0.008 memory: 5148 grad_norm: 6.0655 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3671 loss: 2.3671 2022/06/27 21:24:17 - mmengine - INFO - Epoch(train) [15][2880/3757] lr: 1.000e-02 eta: 23:33:25 time: 0.191 data_time: 0.014 memory: 5148 grad_norm: 5.2362 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5758 loss: 2.5758 2022/06/27 21:24:22 - mmengine - INFO - Epoch(train) [15][2900/3757] lr: 1.000e-02 eta: 23:33:19 time: 0.202 data_time: 0.018 memory: 5148 grad_norm: 5.0001 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4907 loss: 2.4907 2022/06/27 21:24:27 - mmengine - INFO - Epoch(train) [15][2920/3757] lr: 1.000e-02 eta: 23:33:12 time: 0.191 data_time: 0.012 memory: 5148 grad_norm: 5.6668 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4592 loss: 2.4592 2022/06/27 21:24:32 - mmengine - INFO - Epoch(train) [15][2940/3757] lr: 1.000e-02 eta: 23:33:07 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.7394 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9972 loss: 1.9972 2022/06/27 21:24:38 - mmengine - INFO - Epoch(train) [15][2960/3757] lr: 1.000e-02 eta: 23:33:03 time: 0.219 data_time: 0.010 memory: 5148 grad_norm: 6.0156 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2689 loss: 2.2689 2022/06/27 21:24:42 - mmengine - INFO - Epoch(train) [15][2980/3757] lr: 1.000e-02 eta: 23:32:56 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 5.8369 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8625 loss: 1.8625 2022/06/27 21:24:48 - mmengine - INFO - Epoch(train) [15][3000/3757] lr: 1.000e-02 eta: 23:32:53 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 5.6584 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1607 loss: 2.1607 2022/06/27 21:24:54 - mmengine - INFO - Epoch(train) [15][3020/3757] lr: 1.000e-02 eta: 23:32:48 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 5.6327 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0611 loss: 2.0611 2022/06/27 21:24:58 - mmengine - INFO - Epoch(train) [15][3040/3757] lr: 1.000e-02 eta: 23:32:40 time: 0.199 data_time: 0.015 memory: 5148 grad_norm: 5.0023 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1788 loss: 2.1788 2022/06/27 21:25:04 - mmengine - INFO - Epoch(train) [15][3060/3757] lr: 1.000e-02 eta: 23:32:35 time: 0.198 data_time: 0.013 memory: 5148 grad_norm: 5.8345 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1042 loss: 2.1042 2022/06/27 21:25:09 - mmengine - INFO - Epoch(train) [15][3080/3757] lr: 1.000e-02 eta: 23:32:29 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 5.2223 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3431 loss: 2.3431 2022/06/27 21:25:14 - mmengine - INFO - Epoch(train) [15][3100/3757] lr: 1.000e-02 eta: 23:32:21 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 6.2261 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3102 loss: 2.3102 2022/06/27 21:25:19 - mmengine - INFO - Epoch(train) [15][3120/3757] lr: 1.000e-02 eta: 23:32:16 time: 0.193 data_time: 0.019 memory: 5148 grad_norm: 5.2433 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8321 loss: 2.8321 2022/06/27 21:25:25 - mmengine - INFO - Epoch(train) [15][3140/3757] lr: 1.000e-02 eta: 23:32:13 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.2535 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2675 loss: 2.2675 2022/06/27 21:25:30 - mmengine - INFO - Epoch(train) [15][3160/3757] lr: 1.000e-02 eta: 23:32:05 time: 0.209 data_time: 0.006 memory: 5148 grad_norm: 5.3060 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1500 loss: 2.1500 2022/06/27 21:25:36 - mmengine - INFO - Epoch(train) [15][3180/3757] lr: 1.000e-02 eta: 23:32:03 time: 0.199 data_time: 0.015 memory: 5148 grad_norm: 5.6022 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3223 loss: 2.3223 2022/06/27 21:25:41 - mmengine - INFO - Epoch(train) [15][3200/3757] lr: 1.000e-02 eta: 23:31:59 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 5.2749 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4652 loss: 2.4652 2022/06/27 21:25:46 - mmengine - INFO - Epoch(train) [15][3220/3757] lr: 1.000e-02 eta: 23:31:50 time: 0.201 data_time: 0.012 memory: 5148 grad_norm: 5.8561 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1495 loss: 2.1495 2022/06/27 21:25:51 - mmengine - INFO - Epoch(train) [15][3240/3757] lr: 1.000e-02 eta: 23:31:45 time: 0.211 data_time: 0.015 memory: 5148 grad_norm: 5.2635 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9233 loss: 1.9233 2022/06/27 21:25:57 - mmengine - INFO - Epoch(train) [15][3260/3757] lr: 1.000e-02 eta: 23:31:41 time: 0.589 data_time: 0.007 memory: 5148 grad_norm: 5.3003 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3045 loss: 2.3045 2022/06/27 21:26:02 - mmengine - INFO - Epoch(train) [15][3280/3757] lr: 1.000e-02 eta: 23:31:34 time: 0.197 data_time: 0.015 memory: 5148 grad_norm: 5.6757 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4027 loss: 2.4027 2022/06/27 21:26:07 - mmengine - INFO - Epoch(train) [15][3300/3757] lr: 1.000e-02 eta: 23:31:31 time: 0.198 data_time: 0.015 memory: 5148 grad_norm: 4.8615 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4751 loss: 2.4751 2022/06/27 21:26:13 - mmengine - INFO - Epoch(train) [15][3320/3757] lr: 1.000e-02 eta: 23:31:27 time: 0.749 data_time: 0.007 memory: 5148 grad_norm: 5.5493 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1138 loss: 2.1138 2022/06/27 21:26:17 - mmengine - INFO - Epoch(train) [15][3340/3757] lr: 1.000e-02 eta: 23:31:18 time: 0.195 data_time: 0.013 memory: 5148 grad_norm: 5.3498 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5317 loss: 2.5317 2022/06/27 21:26:23 - mmengine - INFO - Epoch(train) [15][3360/3757] lr: 1.000e-02 eta: 23:31:14 time: 0.201 data_time: 0.020 memory: 5148 grad_norm: 5.8641 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1646 loss: 2.1646 2022/06/27 21:26:28 - mmengine - INFO - Epoch(train) [15][3380/3757] lr: 1.000e-02 eta: 23:31:10 time: 0.753 data_time: 0.006 memory: 5148 grad_norm: 6.0496 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.6563 loss: 2.6563 2022/06/27 21:26:33 - mmengine - INFO - Epoch(train) [15][3400/3757] lr: 1.000e-02 eta: 23:31:02 time: 0.199 data_time: 0.021 memory: 5148 grad_norm: 5.5577 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.6355 loss: 2.6355 2022/06/27 21:26:34 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 21:26:39 - mmengine - INFO - Epoch(train) [15][3420/3757] lr: 1.000e-02 eta: 23:30:58 time: 0.605 data_time: 0.427 memory: 5148 grad_norm: 5.6894 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3260 loss: 2.3260 2022/06/27 21:26:44 - mmengine - INFO - Epoch(train) [15][3440/3757] lr: 1.000e-02 eta: 23:30:52 time: 0.302 data_time: 0.007 memory: 5148 grad_norm: 5.4026 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3399 loss: 2.3399 2022/06/27 21:26:49 - mmengine - INFO - Epoch(train) [15][3460/3757] lr: 1.000e-02 eta: 23:30:47 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 5.4999 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4727 loss: 2.4727 2022/06/27 21:26:55 - mmengine - INFO - Epoch(train) [15][3480/3757] lr: 1.000e-02 eta: 23:30:43 time: 0.225 data_time: 0.042 memory: 5148 grad_norm: 5.3486 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9218 loss: 1.9218 2022/06/27 21:27:00 - mmengine - INFO - Epoch(train) [15][3500/3757] lr: 1.000e-02 eta: 23:30:38 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.0125 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3727 loss: 2.3727 2022/06/27 21:27:05 - mmengine - INFO - Epoch(train) [15][3520/3757] lr: 1.000e-02 eta: 23:30:29 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 5.4551 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0055 loss: 2.0055 2022/06/27 21:27:11 - mmengine - INFO - Epoch(train) [15][3540/3757] lr: 1.000e-02 eta: 23:30:26 time: 0.204 data_time: 0.019 memory: 5148 grad_norm: 5.9521 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0832 loss: 2.0832 2022/06/27 21:27:16 - mmengine - INFO - Epoch(train) [15][3560/3757] lr: 1.000e-02 eta: 23:30:23 time: 0.207 data_time: 0.006 memory: 5148 grad_norm: 5.4577 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4456 loss: 2.4456 2022/06/27 21:27:21 - mmengine - INFO - Epoch(train) [15][3580/3757] lr: 1.000e-02 eta: 23:30:15 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.1196 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2730 loss: 2.2730 2022/06/27 21:27:27 - mmengine - INFO - Epoch(train) [15][3600/3757] lr: 1.000e-02 eta: 23:30:10 time: 0.210 data_time: 0.036 memory: 5148 grad_norm: 5.6725 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5889 loss: 2.5889 2022/06/27 21:27:32 - mmengine - INFO - Epoch(train) [15][3620/3757] lr: 1.000e-02 eta: 23:30:06 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.6493 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4366 loss: 2.4366 2022/06/27 21:27:38 - mmengine - INFO - Epoch(train) [15][3640/3757] lr: 1.000e-02 eta: 23:30:03 time: 0.192 data_time: 0.006 memory: 5148 grad_norm: 5.3631 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2933 loss: 2.2933 2022/06/27 21:27:43 - mmengine - INFO - Epoch(train) [15][3660/3757] lr: 1.000e-02 eta: 23:29:58 time: 0.201 data_time: 0.013 memory: 5148 grad_norm: 5.1370 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1243 loss: 2.1243 2022/06/27 21:27:49 - mmengine - INFO - Epoch(train) [15][3680/3757] lr: 1.000e-02 eta: 23:29:56 time: 0.204 data_time: 0.015 memory: 5148 grad_norm: 5.4713 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8440 loss: 1.8440 2022/06/27 21:27:55 - mmengine - INFO - Epoch(train) [15][3700/3757] lr: 1.000e-02 eta: 23:29:52 time: 0.401 data_time: 0.006 memory: 5148 grad_norm: 4.9963 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6376 loss: 2.6376 2022/06/27 21:27:59 - mmengine - INFO - Epoch(train) [15][3720/3757] lr: 1.000e-02 eta: 23:29:41 time: 0.210 data_time: 0.009 memory: 5148 grad_norm: 5.4777 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2712 loss: 2.2712 2022/06/27 21:28:04 - mmengine - INFO - Epoch(train) [15][3740/3757] lr: 1.000e-02 eta: 23:29:37 time: 0.206 data_time: 0.006 memory: 5148 grad_norm: 6.0089 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4638 loss: 2.4638 2022/06/27 21:28:08 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 21:28:08 - mmengine - INFO - Saving checkpoint at 15 epochs 2022/06/27 21:28:16 - mmengine - INFO - Epoch(val) [15][20/310] eta: 0:01:06 time: 0.079 data_time: 0.008 memory: 5148 2022/06/27 21:28:21 - mmengine - INFO - Epoch(val) [15][40/310] eta: 0:01:01 time: 0.090 data_time: 0.013 memory: 1367 2022/06/27 21:28:27 - mmengine - INFO - Epoch(val) [15][60/310] eta: 0:00:51 time: 0.083 data_time: 0.005 memory: 1367 2022/06/27 21:28:31 - mmengine - INFO - Epoch(val) [15][80/310] eta: 0:00:59 time: 0.263 data_time: 0.191 memory: 1367 2022/06/27 21:28:37 - mmengine - INFO - Epoch(val) [15][100/310] eta: 0:00:50 time: 0.083 data_time: 0.005 memory: 1367 2022/06/27 21:28:42 - mmengine - INFO - Epoch(val) [15][120/310] eta: 0:00:44 time: 0.170 data_time: 0.096 memory: 1367 2022/06/27 21:28:48 - mmengine - INFO - Epoch(val) [15][140/310] eta: 0:00:44 time: 0.468 data_time: 0.382 memory: 1367 2022/06/27 21:28:53 - mmengine - INFO - Epoch(val) [15][160/310] eta: 0:00:42 time: 0.724 data_time: 0.653 memory: 1367 2022/06/27 21:28:59 - mmengine - INFO - Epoch(val) [15][180/310] eta: 0:00:44 time: 0.763 data_time: 0.693 memory: 1367 2022/06/27 21:29:04 - mmengine - INFO - Epoch(val) [15][200/310] eta: 0:00:29 time: 0.402 data_time: 0.326 memory: 1367 2022/06/27 21:29:09 - mmengine - INFO - Epoch(val) [15][220/310] eta: 0:00:31 time: 0.077 data_time: 0.005 memory: 1367 2022/06/27 21:29:14 - mmengine - INFO - Epoch(val) [15][240/310] eta: 0:00:15 time: 0.091 data_time: 0.012 memory: 1367 2022/06/27 21:29:20 - mmengine - INFO - Epoch(val) [15][260/310] eta: 0:00:18 time: 0.077 data_time: 0.005 memory: 1367 2022/06/27 21:29:25 - mmengine - INFO - Epoch(val) [15][280/310] eta: 0:00:07 time: 0.082 data_time: 0.012 memory: 1367 2022/06/27 21:29:30 - mmengine - INFO - Epoch(val) [15][300/310] eta: 0:00:02 time: 0.088 data_time: 0.010 memory: 1367 2022/06/27 21:29:32 - mmengine - INFO - Epoch(val) [15][310/310] acc/top1: 0.5299 acc/top5: 0.7788 acc/mean1: 0.5298 2022/06/27 21:29:41 - mmengine - INFO - Epoch(train) [16][20/3757] lr: 1.000e-02 eta: 23:29:31 time: 0.191 data_time: 0.009 memory: 5148 grad_norm: 4.9962 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0960 loss: 2.0960 2022/06/27 21:29:47 - mmengine - INFO - Epoch(train) [16][40/3757] lr: 1.000e-02 eta: 23:29:30 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.4099 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2147 loss: 2.2147 2022/06/27 21:29:52 - mmengine - INFO - Epoch(train) [16][60/3757] lr: 1.000e-02 eta: 23:29:22 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.4670 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1866 loss: 2.1866 2022/06/27 21:29:58 - mmengine - INFO - Epoch(train) [16][80/3757] lr: 1.000e-02 eta: 23:29:20 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.4038 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2293 loss: 2.2293 2022/06/27 21:30:03 - mmengine - INFO - Epoch(train) [16][100/3757] lr: 1.000e-02 eta: 23:29:15 time: 0.199 data_time: 0.013 memory: 5148 grad_norm: 4.9059 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2223 loss: 2.2223 2022/06/27 21:30:08 - mmengine - INFO - Epoch(train) [16][120/3757] lr: 1.000e-02 eta: 23:29:07 time: 0.190 data_time: 0.010 memory: 5148 grad_norm: 4.6928 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9896 loss: 1.9896 2022/06/27 21:30:14 - mmengine - INFO - Epoch(train) [16][140/3757] lr: 1.000e-02 eta: 23:29:05 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 5.4928 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1889 loss: 2.1889 2022/06/27 21:30:19 - mmengine - INFO - Epoch(train) [16][160/3757] lr: 1.000e-02 eta: 23:29:00 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.7598 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4870 loss: 2.4870 2022/06/27 21:30:24 - mmengine - INFO - Epoch(train) [16][180/3757] lr: 1.000e-02 eta: 23:28:53 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 4.8578 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0953 loss: 2.0953 2022/06/27 21:30:30 - mmengine - INFO - Epoch(train) [16][200/3757] lr: 1.000e-02 eta: 23:28:49 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.3394 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.2769 loss: 2.2769 2022/06/27 21:30:36 - mmengine - INFO - Epoch(train) [16][220/3757] lr: 1.000e-02 eta: 23:28:47 time: 0.204 data_time: 0.013 memory: 5148 grad_norm: 4.5899 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8360 loss: 1.8360 2022/06/27 21:30:40 - mmengine - INFO - Epoch(train) [16][240/3757] lr: 1.000e-02 eta: 23:28:36 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.6916 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4793 loss: 2.4793 2022/06/27 21:30:45 - mmengine - INFO - Epoch(train) [16][260/3757] lr: 1.000e-02 eta: 23:28:32 time: 0.192 data_time: 0.010 memory: 5148 grad_norm: 5.0870 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2560 loss: 2.2560 2022/06/27 21:30:51 - mmengine - INFO - Epoch(train) [16][280/3757] lr: 1.000e-02 eta: 23:28:28 time: 0.202 data_time: 0.013 memory: 5148 grad_norm: 5.0749 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6551 loss: 2.6551 2022/06/27 21:30:56 - mmengine - INFO - Epoch(train) [16][300/3757] lr: 1.000e-02 eta: 23:28:24 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.4187 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1969 loss: 2.1969 2022/06/27 21:31:01 - mmengine - INFO - Epoch(train) [16][320/3757] lr: 1.000e-02 eta: 23:28:16 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.0961 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3243 loss: 2.3243 2022/06/27 21:31:07 - mmengine - INFO - Epoch(train) [16][340/3757] lr: 1.000e-02 eta: 23:28:11 time: 0.216 data_time: 0.027 memory: 5148 grad_norm: 5.7737 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8782 loss: 1.8782 2022/06/27 21:31:11 - mmengine - INFO - Epoch(train) [16][360/3757] lr: 1.000e-02 eta: 23:28:03 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.6428 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7810 loss: 2.7810 2022/06/27 21:31:17 - mmengine - INFO - Epoch(train) [16][380/3757] lr: 1.000e-02 eta: 23:27:59 time: 0.193 data_time: 0.008 memory: 5148 grad_norm: 5.2701 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.5058 loss: 2.5058 2022/06/27 21:31:23 - mmengine - INFO - Epoch(train) [16][400/3757] lr: 1.000e-02 eta: 23:27:58 time: 0.689 data_time: 0.014 memory: 5148 grad_norm: 5.8342 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2703 loss: 2.2703 2022/06/27 21:31:28 - mmengine - INFO - Epoch(train) [16][420/3757] lr: 1.000e-02 eta: 23:27:50 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 5.2286 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0209 loss: 2.0209 2022/06/27 21:31:33 - mmengine - INFO - Epoch(train) [16][440/3757] lr: 1.000e-02 eta: 23:27:42 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 5.1449 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8791 loss: 1.8791 2022/06/27 21:31:38 - mmengine - INFO - Epoch(train) [16][460/3757] lr: 1.000e-02 eta: 23:27:40 time: 0.275 data_time: 0.012 memory: 5148 grad_norm: 5.3050 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2261 loss: 2.2261 2022/06/27 21:31:43 - mmengine - INFO - Epoch(train) [16][480/3757] lr: 1.000e-02 eta: 23:27:31 time: 0.192 data_time: 0.010 memory: 5148 grad_norm: 5.3673 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3097 loss: 2.3097 2022/06/27 21:31:49 - mmengine - INFO - Epoch(train) [16][500/3757] lr: 1.000e-02 eta: 23:27:27 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.2380 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0481 loss: 2.0481 2022/06/27 21:31:55 - mmengine - INFO - Epoch(train) [16][520/3757] lr: 1.000e-02 eta: 23:27:30 time: 0.705 data_time: 0.103 memory: 5148 grad_norm: 4.9619 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5178 loss: 2.5178 2022/06/27 21:31:59 - mmengine - INFO - Epoch(train) [16][540/3757] lr: 1.000e-02 eta: 23:27:17 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.3048 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0941 loss: 2.0941 2022/06/27 21:32:04 - mmengine - INFO - Epoch(train) [16][560/3757] lr: 1.000e-02 eta: 23:27:09 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 5.2907 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3196 loss: 2.3196 2022/06/27 21:32:10 - mmengine - INFO - Epoch(train) [16][580/3757] lr: 1.000e-02 eta: 23:27:05 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.3004 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2992 loss: 2.2992 2022/06/27 21:32:16 - mmengine - INFO - Epoch(train) [16][600/3757] lr: 1.000e-02 eta: 23:27:04 time: 0.796 data_time: 0.064 memory: 5148 grad_norm: 4.9040 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3937 loss: 2.3937 2022/06/27 21:32:20 - mmengine - INFO - Epoch(train) [16][620/3757] lr: 1.000e-02 eta: 23:26:53 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.7867 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9178 loss: 1.9178 2022/06/27 21:32:25 - mmengine - INFO - Epoch(train) [16][640/3757] lr: 1.000e-02 eta: 23:26:48 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 4.8235 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0024 loss: 2.0024 2022/06/27 21:32:27 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 21:32:30 - mmengine - INFO - Epoch(train) [16][660/3757] lr: 1.000e-02 eta: 23:26:41 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.2365 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3341 loss: 2.3341 2022/06/27 21:32:36 - mmengine - INFO - Epoch(train) [16][680/3757] lr: 1.000e-02 eta: 23:26:35 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.6988 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2670 loss: 2.2670 2022/06/27 21:32:41 - mmengine - INFO - Epoch(train) [16][700/3757] lr: 1.000e-02 eta: 23:26:33 time: 0.188 data_time: 0.006 memory: 5148 grad_norm: 6.3284 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1851 loss: 2.1851 2022/06/27 21:32:47 - mmengine - INFO - Epoch(train) [16][720/3757] lr: 1.000e-02 eta: 23:26:29 time: 0.206 data_time: 0.006 memory: 5148 grad_norm: 4.9166 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1221 loss: 2.1221 2022/06/27 21:32:52 - mmengine - INFO - Epoch(train) [16][740/3757] lr: 1.000e-02 eta: 23:26:22 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 6.2743 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3747 loss: 2.3747 2022/06/27 21:32:58 - mmengine - INFO - Epoch(train) [16][760/3757] lr: 1.000e-02 eta: 23:26:22 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 4.8390 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5179 loss: 2.5179 2022/06/27 21:33:04 - mmengine - INFO - Epoch(train) [16][780/3757] lr: 1.000e-02 eta: 23:26:16 time: 0.204 data_time: 0.012 memory: 5148 grad_norm: 5.2013 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0195 loss: 2.0195 2022/06/27 21:33:09 - mmengine - INFO - Epoch(train) [16][800/3757] lr: 1.000e-02 eta: 23:26:11 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 4.8510 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8977 loss: 1.8977 2022/06/27 21:33:14 - mmengine - INFO - Epoch(train) [16][820/3757] lr: 1.000e-02 eta: 23:26:05 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 5.2106 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2154 loss: 2.2154 2022/06/27 21:33:20 - mmengine - INFO - Epoch(train) [16][840/3757] lr: 1.000e-02 eta: 23:26:02 time: 0.209 data_time: 0.015 memory: 5148 grad_norm: 5.0883 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1545 loss: 2.1545 2022/06/27 21:33:25 - mmengine - INFO - Epoch(train) [16][860/3757] lr: 1.000e-02 eta: 23:25:54 time: 0.198 data_time: 0.012 memory: 5148 grad_norm: 4.6788 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0408 loss: 2.0408 2022/06/27 21:33:30 - mmengine - INFO - Epoch(train) [16][880/3757] lr: 1.000e-02 eta: 23:25:50 time: 0.194 data_time: 0.012 memory: 5148 grad_norm: 5.1792 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1523 loss: 2.1523 2022/06/27 21:33:36 - mmengine - INFO - Epoch(train) [16][900/3757] lr: 1.000e-02 eta: 23:25:48 time: 0.196 data_time: 0.017 memory: 5148 grad_norm: 6.0852 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1592 loss: 2.1592 2022/06/27 21:33:40 - mmengine - INFO - Epoch(train) [16][920/3757] lr: 1.000e-02 eta: 23:25:36 time: 0.193 data_time: 0.006 memory: 5148 grad_norm: 5.3538 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5928 loss: 2.5928 2022/06/27 21:33:46 - mmengine - INFO - Epoch(train) [16][940/3757] lr: 1.000e-02 eta: 23:25:32 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 5.5678 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1902 loss: 2.1902 2022/06/27 21:33:51 - mmengine - INFO - Epoch(train) [16][960/3757] lr: 1.000e-02 eta: 23:25:26 time: 0.205 data_time: 0.013 memory: 5148 grad_norm: 5.8874 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2895 loss: 2.2895 2022/06/27 21:33:56 - mmengine - INFO - Epoch(train) [16][980/3757] lr: 1.000e-02 eta: 23:25:20 time: 0.206 data_time: 0.017 memory: 5148 grad_norm: 5.6668 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2076 loss: 2.2076 2022/06/27 21:34:01 - mmengine - INFO - Epoch(train) [16][1000/3757] lr: 1.000e-02 eta: 23:25:14 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 4.7869 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2725 loss: 2.2725 2022/06/27 21:34:07 - mmengine - INFO - Epoch(train) [16][1020/3757] lr: 1.000e-02 eta: 23:25:10 time: 0.192 data_time: 0.012 memory: 5148 grad_norm: 5.0406 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4693 loss: 2.4693 2022/06/27 21:34:12 - mmengine - INFO - Epoch(train) [16][1040/3757] lr: 1.000e-02 eta: 23:25:03 time: 0.206 data_time: 0.023 memory: 5148 grad_norm: 5.9269 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9986 loss: 1.9986 2022/06/27 21:34:17 - mmengine - INFO - Epoch(train) [16][1060/3757] lr: 1.000e-02 eta: 23:24:58 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.3683 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3769 loss: 2.3769 2022/06/27 21:34:22 - mmengine - INFO - Epoch(train) [16][1080/3757] lr: 1.000e-02 eta: 23:24:52 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 4.9475 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0500 loss: 2.0500 2022/06/27 21:34:27 - mmengine - INFO - Epoch(train) [16][1100/3757] lr: 1.000e-02 eta: 23:24:45 time: 0.201 data_time: 0.018 memory: 5148 grad_norm: 6.1290 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6469 loss: 2.6469 2022/06/27 21:34:33 - mmengine - INFO - Epoch(train) [16][1120/3757] lr: 1.000e-02 eta: 23:24:41 time: 0.188 data_time: 0.007 memory: 5148 grad_norm: 4.7311 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2369 loss: 2.2369 2022/06/27 21:34:38 - mmengine - INFO - Epoch(train) [16][1140/3757] lr: 1.000e-02 eta: 23:24:38 time: 0.199 data_time: 0.020 memory: 5148 grad_norm: 5.9117 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5124 loss: 2.5124 2022/06/27 21:34:44 - mmengine - INFO - Epoch(train) [16][1160/3757] lr: 1.000e-02 eta: 23:24:34 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 5.6834 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8506 loss: 1.8506 2022/06/27 21:34:49 - mmengine - INFO - Epoch(train) [16][1180/3757] lr: 1.000e-02 eta: 23:24:27 time: 0.190 data_time: 0.008 memory: 5148 grad_norm: 5.2400 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3905 loss: 2.3905 2022/06/27 21:34:55 - mmengine - INFO - Epoch(train) [16][1200/3757] lr: 1.000e-02 eta: 23:24:27 time: 0.341 data_time: 0.107 memory: 5148 grad_norm: 5.4732 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1293 loss: 2.1293 2022/06/27 21:35:00 - mmengine - INFO - Epoch(train) [16][1220/3757] lr: 1.000e-02 eta: 23:24:20 time: 0.196 data_time: 0.006 memory: 5148 grad_norm: 5.4813 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3668 loss: 2.3668 2022/06/27 21:35:06 - mmengine - INFO - Epoch(train) [16][1240/3757] lr: 1.000e-02 eta: 23:24:17 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 5.5442 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8158 loss: 1.8158 2022/06/27 21:35:11 - mmengine - INFO - Epoch(train) [16][1260/3757] lr: 1.000e-02 eta: 23:24:12 time: 0.189 data_time: 0.006 memory: 5148 grad_norm: 5.6656 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4649 loss: 2.4649 2022/06/27 21:35:17 - mmengine - INFO - Epoch(train) [16][1280/3757] lr: 1.000e-02 eta: 23:24:07 time: 0.210 data_time: 0.009 memory: 5148 grad_norm: 5.4182 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4025 loss: 2.4025 2022/06/27 21:35:22 - mmengine - INFO - Epoch(train) [16][1300/3757] lr: 1.000e-02 eta: 23:24:02 time: 0.192 data_time: 0.010 memory: 5148 grad_norm: 5.4034 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0971 loss: 2.0971 2022/06/27 21:35:28 - mmengine - INFO - Epoch(train) [16][1320/3757] lr: 1.000e-02 eta: 23:23:59 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.8100 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2699 loss: 2.2699 2022/06/27 21:35:32 - mmengine - INFO - Epoch(train) [16][1340/3757] lr: 1.000e-02 eta: 23:23:50 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 5.7771 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4477 loss: 2.4477 2022/06/27 21:35:38 - mmengine - INFO - Epoch(train) [16][1360/3757] lr: 1.000e-02 eta: 23:23:47 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 5.3854 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3278 loss: 2.3278 2022/06/27 21:35:44 - mmengine - INFO - Epoch(train) [16][1380/3757] lr: 1.000e-02 eta: 23:23:44 time: 0.215 data_time: 0.009 memory: 5148 grad_norm: 5.8842 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5116 loss: 2.5116 2022/06/27 21:35:48 - mmengine - INFO - Epoch(train) [16][1400/3757] lr: 1.000e-02 eta: 23:23:35 time: 0.200 data_time: 0.012 memory: 5148 grad_norm: 5.0378 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1533 loss: 2.1533 2022/06/27 21:35:54 - mmengine - INFO - Epoch(train) [16][1420/3757] lr: 1.000e-02 eta: 23:23:31 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 5.1144 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0851 loss: 2.0851 2022/06/27 21:36:00 - mmengine - INFO - Epoch(train) [16][1440/3757] lr: 1.000e-02 eta: 23:23:28 time: 0.194 data_time: 0.009 memory: 5148 grad_norm: 5.3833 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9464 loss: 1.9464 2022/06/27 21:36:04 - mmengine - INFO - Epoch(train) [16][1460/3757] lr: 1.000e-02 eta: 23:23:16 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 5.5419 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1825 loss: 2.1825 2022/06/27 21:36:10 - mmengine - INFO - Epoch(train) [16][1480/3757] lr: 1.000e-02 eta: 23:23:15 time: 0.217 data_time: 0.010 memory: 5148 grad_norm: 5.6939 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.0812 loss: 2.0812 2022/06/27 21:36:16 - mmengine - INFO - Epoch(train) [16][1500/3757] lr: 1.000e-02 eta: 23:23:16 time: 0.197 data_time: 0.009 memory: 5148 grad_norm: 5.4174 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4417 loss: 2.4417 2022/06/27 21:36:20 - mmengine - INFO - Epoch(train) [16][1520/3757] lr: 1.000e-02 eta: 23:23:03 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.1772 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0950 loss: 2.0950 2022/06/27 21:36:25 - mmengine - INFO - Epoch(train) [16][1540/3757] lr: 1.000e-02 eta: 23:22:54 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 5.2678 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4178 loss: 2.4178 2022/06/27 21:36:31 - mmengine - INFO - Epoch(train) [16][1560/3757] lr: 1.000e-02 eta: 23:22:52 time: 0.196 data_time: 0.012 memory: 5148 grad_norm: 4.9259 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5251 loss: 2.5251 2022/06/27 21:36:36 - mmengine - INFO - Epoch(train) [16][1580/3757] lr: 1.000e-02 eta: 23:22:47 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 4.8039 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3245 loss: 2.3245 2022/06/27 21:36:41 - mmengine - INFO - Epoch(train) [16][1600/3757] lr: 1.000e-02 eta: 23:22:39 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 5.8155 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7765 loss: 2.7765 2022/06/27 21:36:46 - mmengine - INFO - Epoch(train) [16][1620/3757] lr: 1.000e-02 eta: 23:22:33 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.8220 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4092 loss: 2.4092 2022/06/27 21:36:52 - mmengine - INFO - Epoch(train) [16][1640/3757] lr: 1.000e-02 eta: 23:22:29 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.0707 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5182 loss: 2.5182 2022/06/27 21:36:53 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 21:36:57 - mmengine - INFO - Epoch(train) [16][1660/3757] lr: 1.000e-02 eta: 23:22:23 time: 0.202 data_time: 0.014 memory: 5148 grad_norm: 4.9290 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2734 loss: 2.2734 2022/06/27 21:37:02 - mmengine - INFO - Epoch(train) [16][1680/3757] lr: 1.000e-02 eta: 23:22:19 time: 0.205 data_time: 0.006 memory: 5148 grad_norm: 4.4377 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2339 loss: 2.2339 2022/06/27 21:37:07 - mmengine - INFO - Epoch(train) [16][1700/3757] lr: 1.000e-02 eta: 23:22:12 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.4000 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9232 loss: 1.9232 2022/06/27 21:37:12 - mmengine - INFO - Epoch(train) [16][1720/3757] lr: 1.000e-02 eta: 23:22:04 time: 0.205 data_time: 0.024 memory: 5148 grad_norm: 5.4921 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4309 loss: 2.4309 2022/06/27 21:37:18 - mmengine - INFO - Epoch(train) [16][1740/3757] lr: 1.000e-02 eta: 23:22:01 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.4602 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1763 loss: 2.1763 2022/06/27 21:37:23 - mmengine - INFO - Epoch(train) [16][1760/3757] lr: 1.000e-02 eta: 23:21:56 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 5.6547 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3320 loss: 2.3320 2022/06/27 21:37:28 - mmengine - INFO - Epoch(train) [16][1780/3757] lr: 1.000e-02 eta: 23:21:50 time: 0.194 data_time: 0.011 memory: 5148 grad_norm: 5.5717 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2570 loss: 2.2570 2022/06/27 21:37:34 - mmengine - INFO - Epoch(train) [16][1800/3757] lr: 1.000e-02 eta: 23:21:46 time: 0.223 data_time: 0.007 memory: 5148 grad_norm: 5.2786 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7662 loss: 1.7662 2022/06/27 21:37:40 - mmengine - INFO - Epoch(train) [16][1820/3757] lr: 1.000e-02 eta: 23:21:46 time: 0.919 data_time: 0.006 memory: 5148 grad_norm: 5.0149 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7875 loss: 1.7875 2022/06/27 21:37:45 - mmengine - INFO - Epoch(train) [16][1840/3757] lr: 1.000e-02 eta: 23:21:40 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.0605 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1266 loss: 2.1266 2022/06/27 21:37:51 - mmengine - INFO - Epoch(train) [16][1860/3757] lr: 1.000e-02 eta: 23:21:36 time: 0.208 data_time: 0.006 memory: 5148 grad_norm: 5.0488 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1772 loss: 2.1772 2022/06/27 21:37:56 - mmengine - INFO - Epoch(train) [16][1880/3757] lr: 1.000e-02 eta: 23:21:31 time: 0.321 data_time: 0.006 memory: 5148 grad_norm: 6.2269 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2790 loss: 2.2790 2022/06/27 21:38:01 - mmengine - INFO - Epoch(train) [16][1900/3757] lr: 1.000e-02 eta: 23:21:22 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 6.2915 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1628 loss: 2.1628 2022/06/27 21:38:07 - mmengine - INFO - Epoch(train) [16][1920/3757] lr: 1.000e-02 eta: 23:21:21 time: 0.205 data_time: 0.006 memory: 5148 grad_norm: 5.3561 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6730 loss: 2.6730 2022/06/27 21:38:12 - mmengine - INFO - Epoch(train) [16][1940/3757] lr: 1.000e-02 eta: 23:21:15 time: 0.306 data_time: 0.008 memory: 5148 grad_norm: 5.3494 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3044 loss: 2.3044 2022/06/27 21:38:18 - mmengine - INFO - Epoch(train) [16][1960/3757] lr: 1.000e-02 eta: 23:21:10 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 5.6145 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5022 loss: 2.5022 2022/06/27 21:38:23 - mmengine - INFO - Epoch(train) [16][1980/3757] lr: 1.000e-02 eta: 23:21:04 time: 0.210 data_time: 0.006 memory: 5148 grad_norm: 5.0540 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7952 loss: 1.7952 2022/06/27 21:38:28 - mmengine - INFO - Epoch(train) [16][2000/3757] lr: 1.000e-02 eta: 23:21:01 time: 0.423 data_time: 0.007 memory: 5148 grad_norm: 5.2494 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3025 loss: 2.3025 2022/06/27 21:38:33 - mmengine - INFO - Epoch(train) [16][2020/3757] lr: 1.000e-02 eta: 23:20:54 time: 0.228 data_time: 0.007 memory: 5148 grad_norm: 5.8437 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1766 loss: 2.1766 2022/06/27 21:38:39 - mmengine - INFO - Epoch(train) [16][2040/3757] lr: 1.000e-02 eta: 23:20:51 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 5.9617 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3787 loss: 2.3787 2022/06/27 21:38:44 - mmengine - INFO - Epoch(train) [16][2060/3757] lr: 1.000e-02 eta: 23:20:42 time: 0.289 data_time: 0.008 memory: 5148 grad_norm: 6.1786 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2078 loss: 2.2078 2022/06/27 21:38:49 - mmengine - INFO - Epoch(train) [16][2080/3757] lr: 1.000e-02 eta: 23:20:37 time: 0.191 data_time: 0.006 memory: 5148 grad_norm: 5.5800 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1778 loss: 2.1778 2022/06/27 21:38:54 - mmengine - INFO - Epoch(train) [16][2100/3757] lr: 1.000e-02 eta: 23:20:31 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 5.5087 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0563 loss: 2.0563 2022/06/27 21:39:00 - mmengine - INFO - Epoch(train) [16][2120/3757] lr: 1.000e-02 eta: 23:20:26 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 6.0488 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1799 loss: 2.1799 2022/06/27 21:39:05 - mmengine - INFO - Epoch(train) [16][2140/3757] lr: 1.000e-02 eta: 23:20:21 time: 0.202 data_time: 0.013 memory: 5148 grad_norm: 5.9896 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0773 loss: 2.0773 2022/06/27 21:39:11 - mmengine - INFO - Epoch(train) [16][2160/3757] lr: 1.000e-02 eta: 23:20:18 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 5.2496 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1254 loss: 2.1254 2022/06/27 21:39:16 - mmengine - INFO - Epoch(train) [16][2180/3757] lr: 1.000e-02 eta: 23:20:12 time: 0.530 data_time: 0.007 memory: 5148 grad_norm: 5.3586 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2060 loss: 2.2060 2022/06/27 21:39:21 - mmengine - INFO - Epoch(train) [16][2200/3757] lr: 1.000e-02 eta: 23:20:05 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 4.9927 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3497 loss: 2.3497 2022/06/27 21:39:26 - mmengine - INFO - Epoch(train) [16][2220/3757] lr: 1.000e-02 eta: 23:20:02 time: 0.191 data_time: 0.012 memory: 5148 grad_norm: 5.4077 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1639 loss: 2.1639 2022/06/27 21:39:32 - mmengine - INFO - Epoch(train) [16][2240/3757] lr: 1.000e-02 eta: 23:19:58 time: 0.639 data_time: 0.006 memory: 5148 grad_norm: 5.9076 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3136 loss: 2.3136 2022/06/27 21:39:37 - mmengine - INFO - Epoch(train) [16][2260/3757] lr: 1.000e-02 eta: 23:19:53 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 5.4076 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8708 loss: 1.8708 2022/06/27 21:39:43 - mmengine - INFO - Epoch(train) [16][2280/3757] lr: 1.000e-02 eta: 23:19:47 time: 0.227 data_time: 0.046 memory: 5148 grad_norm: 5.0943 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0800 loss: 2.0800 2022/06/27 21:39:49 - mmengine - INFO - Epoch(train) [16][2300/3757] lr: 1.000e-02 eta: 23:19:46 time: 1.087 data_time: 0.009 memory: 5148 grad_norm: 5.6257 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2963 loss: 2.2963 2022/06/27 21:39:53 - mmengine - INFO - Epoch(train) [16][2320/3757] lr: 1.000e-02 eta: 23:19:35 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 5.5030 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1648 loss: 2.1648 2022/06/27 21:39:58 - mmengine - INFO - Epoch(train) [16][2340/3757] lr: 1.000e-02 eta: 23:19:29 time: 0.194 data_time: 0.011 memory: 5148 grad_norm: 5.2747 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2838 loss: 2.2838 2022/06/27 21:40:04 - mmengine - INFO - Epoch(train) [16][2360/3757] lr: 1.000e-02 eta: 23:19:28 time: 0.451 data_time: 0.017 memory: 5148 grad_norm: 5.6975 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0095 loss: 2.0095 2022/06/27 21:40:09 - mmengine - INFO - Epoch(train) [16][2380/3757] lr: 1.000e-02 eta: 23:19:22 time: 0.201 data_time: 0.019 memory: 5148 grad_norm: 5.9452 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2338 loss: 2.2338 2022/06/27 21:40:15 - mmengine - INFO - Epoch(train) [16][2400/3757] lr: 1.000e-02 eta: 23:19:17 time: 0.196 data_time: 0.009 memory: 5148 grad_norm: 5.6988 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1764 loss: 2.1764 2022/06/27 21:40:20 - mmengine - INFO - Epoch(train) [16][2420/3757] lr: 1.000e-02 eta: 23:19:13 time: 0.515 data_time: 0.023 memory: 5148 grad_norm: 5.4104 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3450 loss: 2.3450 2022/06/27 21:40:25 - mmengine - INFO - Epoch(train) [16][2440/3757] lr: 1.000e-02 eta: 23:19:06 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 5.2062 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6873 loss: 1.6873 2022/06/27 21:40:31 - mmengine - INFO - Epoch(train) [16][2460/3757] lr: 1.000e-02 eta: 23:19:00 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.1666 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.1792 loss: 2.1792 2022/06/27 21:40:36 - mmengine - INFO - Epoch(train) [16][2480/3757] lr: 1.000e-02 eta: 23:18:57 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 5.3459 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2002 loss: 2.2002 2022/06/27 21:40:42 - mmengine - INFO - Epoch(train) [16][2500/3757] lr: 1.000e-02 eta: 23:18:53 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 5.2970 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9438 loss: 1.9438 2022/06/27 21:40:47 - mmengine - INFO - Epoch(train) [16][2520/3757] lr: 1.000e-02 eta: 23:18:46 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 5.6093 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9096 loss: 1.9096 2022/06/27 21:40:52 - mmengine - INFO - Epoch(train) [16][2540/3757] lr: 1.000e-02 eta: 23:18:42 time: 0.918 data_time: 0.007 memory: 5148 grad_norm: 5.9837 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4164 loss: 2.4164 2022/06/27 21:40:58 - mmengine - INFO - Epoch(train) [16][2560/3757] lr: 1.000e-02 eta: 23:18:37 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.0834 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6649 loss: 2.6649 2022/06/27 21:41:03 - mmengine - INFO - Epoch(train) [16][2580/3757] lr: 1.000e-02 eta: 23:18:29 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 5.8528 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9329 loss: 1.9329 2022/06/27 21:41:08 - mmengine - INFO - Epoch(train) [16][2600/3757] lr: 1.000e-02 eta: 23:18:25 time: 0.718 data_time: 0.008 memory: 5148 grad_norm: 5.4085 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2758 loss: 2.2758 2022/06/27 21:41:13 - mmengine - INFO - Epoch(train) [16][2620/3757] lr: 1.000e-02 eta: 23:18:18 time: 0.194 data_time: 0.013 memory: 5148 grad_norm: 5.5276 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9102 loss: 1.9102 2022/06/27 21:41:19 - mmengine - INFO - Epoch(train) [16][2640/3757] lr: 1.000e-02 eta: 23:18:16 time: 0.216 data_time: 0.016 memory: 5148 grad_norm: 5.5878 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.8390 loss: 2.8390 2022/06/27 21:41:20 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 21:41:24 - mmengine - INFO - Epoch(train) [16][2660/3757] lr: 1.000e-02 eta: 23:18:10 time: 0.931 data_time: 0.007 memory: 5148 grad_norm: 4.8991 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0101 loss: 2.0101 2022/06/27 21:41:29 - mmengine - INFO - Epoch(train) [16][2680/3757] lr: 1.000e-02 eta: 23:18:02 time: 0.201 data_time: 0.017 memory: 5148 grad_norm: 5.9372 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1027 loss: 2.1027 2022/06/27 21:41:34 - mmengine - INFO - Epoch(train) [16][2700/3757] lr: 1.000e-02 eta: 23:17:56 time: 0.213 data_time: 0.016 memory: 5148 grad_norm: 5.2110 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2021 loss: 2.2021 2022/06/27 21:41:39 - mmengine - INFO - Epoch(train) [16][2720/3757] lr: 1.000e-02 eta: 23:17:50 time: 0.265 data_time: 0.010 memory: 5148 grad_norm: 5.5016 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2961 loss: 2.2961 2022/06/27 21:41:45 - mmengine - INFO - Epoch(train) [16][2740/3757] lr: 1.000e-02 eta: 23:17:49 time: 0.203 data_time: 0.019 memory: 5148 grad_norm: 5.4633 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1869 loss: 2.1869 2022/06/27 21:41:50 - mmengine - INFO - Epoch(train) [16][2760/3757] lr: 1.000e-02 eta: 23:17:40 time: 0.196 data_time: 0.018 memory: 5148 grad_norm: 5.4224 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2081 loss: 2.2081 2022/06/27 21:41:55 - mmengine - INFO - Epoch(train) [16][2780/3757] lr: 1.000e-02 eta: 23:17:35 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 4.7772 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7513 loss: 1.7513 2022/06/27 21:42:01 - mmengine - INFO - Epoch(train) [16][2800/3757] lr: 1.000e-02 eta: 23:17:32 time: 0.206 data_time: 0.019 memory: 5148 grad_norm: 5.8659 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2922 loss: 2.2922 2022/06/27 21:42:06 - mmengine - INFO - Epoch(train) [16][2820/3757] lr: 1.000e-02 eta: 23:17:23 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 5.3885 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2279 loss: 2.2279 2022/06/27 21:42:11 - mmengine - INFO - Epoch(train) [16][2840/3757] lr: 1.000e-02 eta: 23:17:19 time: 0.596 data_time: 0.006 memory: 5148 grad_norm: 5.2268 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5097 loss: 2.5097 2022/06/27 21:42:17 - mmengine - INFO - Epoch(train) [16][2860/3757] lr: 1.000e-02 eta: 23:17:17 time: 0.240 data_time: 0.024 memory: 5148 grad_norm: 5.5153 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4501 loss: 2.4501 2022/06/27 21:42:21 - mmengine - INFO - Epoch(train) [16][2880/3757] lr: 1.000e-02 eta: 23:17:05 time: 0.200 data_time: 0.012 memory: 5148 grad_norm: 5.0255 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0372 loss: 2.0372 2022/06/27 21:42:27 - mmengine - INFO - Epoch(train) [16][2900/3757] lr: 1.000e-02 eta: 23:17:00 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 5.5350 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9536 loss: 1.9536 2022/06/27 21:42:32 - mmengine - INFO - Epoch(train) [16][2920/3757] lr: 1.000e-02 eta: 23:16:55 time: 0.225 data_time: 0.012 memory: 5148 grad_norm: 5.4082 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8572 loss: 1.8572 2022/06/27 21:42:37 - mmengine - INFO - Epoch(train) [16][2940/3757] lr: 1.000e-02 eta: 23:16:49 time: 0.193 data_time: 0.015 memory: 5148 grad_norm: 5.4435 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1085 loss: 2.1085 2022/06/27 21:42:43 - mmengine - INFO - Epoch(train) [16][2960/3757] lr: 1.000e-02 eta: 23:16:46 time: 0.227 data_time: 0.006 memory: 5148 grad_norm: 6.1435 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0654 loss: 2.0654 2022/06/27 21:42:48 - mmengine - INFO - Epoch(train) [16][2980/3757] lr: 1.000e-02 eta: 23:16:42 time: 0.205 data_time: 0.016 memory: 5148 grad_norm: 5.6825 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9493 loss: 1.9493 2022/06/27 21:42:53 - mmengine - INFO - Epoch(train) [16][3000/3757] lr: 1.000e-02 eta: 23:16:36 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 6.3823 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2425 loss: 2.2425 2022/06/27 21:42:59 - mmengine - INFO - Epoch(train) [16][3020/3757] lr: 1.000e-02 eta: 23:16:31 time: 0.227 data_time: 0.007 memory: 5148 grad_norm: 5.1097 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3560 loss: 2.3560 2022/06/27 21:43:04 - mmengine - INFO - Epoch(train) [16][3040/3757] lr: 1.000e-02 eta: 23:16:27 time: 0.209 data_time: 0.014 memory: 5148 grad_norm: 5.6310 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0949 loss: 2.0949 2022/06/27 21:43:10 - mmengine - INFO - Epoch(train) [16][3060/3757] lr: 1.000e-02 eta: 23:16:22 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.1261 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3999 loss: 2.3999 2022/06/27 21:43:15 - mmengine - INFO - Epoch(train) [16][3080/3757] lr: 1.000e-02 eta: 23:16:15 time: 0.192 data_time: 0.006 memory: 5148 grad_norm: 5.8601 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4699 loss: 2.4699 2022/06/27 21:43:20 - mmengine - INFO - Epoch(train) [16][3100/3757] lr: 1.000e-02 eta: 23:16:12 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 5.2566 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2384 loss: 2.2384 2022/06/27 21:43:25 - mmengine - INFO - Epoch(train) [16][3120/3757] lr: 1.000e-02 eta: 23:16:05 time: 0.193 data_time: 0.006 memory: 5148 grad_norm: 5.3393 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4991 loss: 2.4991 2022/06/27 21:43:30 - mmengine - INFO - Epoch(train) [16][3140/3757] lr: 1.000e-02 eta: 23:15:57 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 4.8453 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2550 loss: 2.2550 2022/06/27 21:43:36 - mmengine - INFO - Epoch(train) [16][3160/3757] lr: 1.000e-02 eta: 23:15:53 time: 0.197 data_time: 0.012 memory: 5148 grad_norm: 6.1279 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3470 loss: 2.3470 2022/06/27 21:43:42 - mmengine - INFO - Epoch(train) [16][3180/3757] lr: 1.000e-02 eta: 23:15:52 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.3994 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.2106 loss: 2.2106 2022/06/27 21:43:47 - mmengine - INFO - Epoch(train) [16][3200/3757] lr: 1.000e-02 eta: 23:15:44 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 4.5619 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7854 loss: 1.7854 2022/06/27 21:43:52 - mmengine - INFO - Epoch(train) [16][3220/3757] lr: 1.000e-02 eta: 23:15:38 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.6450 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9206 loss: 1.9206 2022/06/27 21:43:58 - mmengine - INFO - Epoch(train) [16][3240/3757] lr: 1.000e-02 eta: 23:15:36 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 5.8772 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0261 loss: 2.0261 2022/06/27 21:44:03 - mmengine - INFO - Epoch(train) [16][3260/3757] lr: 1.000e-02 eta: 23:15:28 time: 0.223 data_time: 0.007 memory: 5148 grad_norm: 5.1303 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3679 loss: 2.3679 2022/06/27 21:44:09 - mmengine - INFO - Epoch(train) [16][3280/3757] lr: 1.000e-02 eta: 23:15:28 time: 0.209 data_time: 0.006 memory: 5148 grad_norm: 5.0938 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8677 loss: 1.8677 2022/06/27 21:44:14 - mmengine - INFO - Epoch(train) [16][3300/3757] lr: 1.000e-02 eta: 23:15:23 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 6.1642 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.5342 loss: 2.5342 2022/06/27 21:44:19 - mmengine - INFO - Epoch(train) [16][3320/3757] lr: 1.000e-02 eta: 23:15:14 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 5.3853 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2165 loss: 2.2165 2022/06/27 21:44:25 - mmengine - INFO - Epoch(train) [16][3340/3757] lr: 1.000e-02 eta: 23:15:12 time: 0.228 data_time: 0.006 memory: 5148 grad_norm: 5.4435 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4888 loss: 2.4888 2022/06/27 21:44:30 - mmengine - INFO - Epoch(train) [16][3360/3757] lr: 1.000e-02 eta: 23:15:06 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.5868 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1750 loss: 2.1750 2022/06/27 21:44:35 - mmengine - INFO - Epoch(train) [16][3380/3757] lr: 1.000e-02 eta: 23:14:57 time: 0.215 data_time: 0.006 memory: 5148 grad_norm: 5.3734 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3016 loss: 2.3016 2022/06/27 21:44:40 - mmengine - INFO - Epoch(train) [16][3400/3757] lr: 1.000e-02 eta: 23:14:54 time: 0.190 data_time: 0.007 memory: 5148 grad_norm: 5.8817 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7332 loss: 2.7332 2022/06/27 21:44:45 - mmengine - INFO - Epoch(train) [16][3420/3757] lr: 1.000e-02 eta: 23:14:48 time: 0.194 data_time: 0.013 memory: 5148 grad_norm: 5.9681 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4296 loss: 2.4296 2022/06/27 21:44:50 - mmengine - INFO - Epoch(train) [16][3440/3757] lr: 1.000e-02 eta: 23:14:40 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.6149 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2432 loss: 2.2432 2022/06/27 21:44:56 - mmengine - INFO - Epoch(train) [16][3460/3757] lr: 1.000e-02 eta: 23:14:35 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 5.9372 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1628 loss: 2.1628 2022/06/27 21:45:01 - mmengine - INFO - Epoch(train) [16][3480/3757] lr: 1.000e-02 eta: 23:14:30 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 5.3279 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5050 loss: 2.5050 2022/06/27 21:45:06 - mmengine - INFO - Epoch(train) [16][3500/3757] lr: 1.000e-02 eta: 23:14:21 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 4.6890 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6708 loss: 2.6708 2022/06/27 21:45:11 - mmengine - INFO - Epoch(train) [16][3520/3757] lr: 1.000e-02 eta: 23:14:16 time: 0.202 data_time: 0.017 memory: 5148 grad_norm: 5.8406 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3736 loss: 2.3736 2022/06/27 21:45:17 - mmengine - INFO - Epoch(train) [16][3540/3757] lr: 1.000e-02 eta: 23:14:13 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 5.9463 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.1703 loss: 2.1703 2022/06/27 21:45:22 - mmengine - INFO - Epoch(train) [16][3560/3757] lr: 1.000e-02 eta: 23:14:06 time: 0.190 data_time: 0.006 memory: 5148 grad_norm: 6.0016 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1239 loss: 2.1239 2022/06/27 21:45:27 - mmengine - INFO - Epoch(train) [16][3580/3757] lr: 1.000e-02 eta: 23:14:03 time: 0.370 data_time: 0.013 memory: 5148 grad_norm: 5.4657 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6978 loss: 2.6978 2022/06/27 21:45:32 - mmengine - INFO - Epoch(train) [16][3600/3757] lr: 1.000e-02 eta: 23:13:56 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.4999 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2182 loss: 2.2182 2022/06/27 21:45:38 - mmengine - INFO - Epoch(train) [16][3620/3757] lr: 1.000e-02 eta: 23:13:55 time: 0.205 data_time: 0.006 memory: 5148 grad_norm: 6.0292 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9552 loss: 1.9552 2022/06/27 21:45:44 - mmengine - INFO - Epoch(train) [16][3640/3757] lr: 1.000e-02 eta: 23:13:49 time: 0.206 data_time: 0.025 memory: 5148 grad_norm: 5.4737 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0774 loss: 2.0774 2022/06/27 21:45:45 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 21:45:49 - mmengine - INFO - Epoch(train) [16][3660/3757] lr: 1.000e-02 eta: 23:13:45 time: 0.596 data_time: 0.007 memory: 5148 grad_norm: 5.7319 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1125 loss: 2.1125 2022/06/27 21:45:54 - mmengine - INFO - Epoch(train) [16][3680/3757] lr: 1.000e-02 eta: 23:13:40 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 6.1103 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1737 loss: 2.1737 2022/06/27 21:46:00 - mmengine - INFO - Epoch(train) [16][3700/3757] lr: 1.000e-02 eta: 23:13:37 time: 0.193 data_time: 0.013 memory: 5148 grad_norm: 5.3366 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1586 loss: 2.1586 2022/06/27 21:46:05 - mmengine - INFO - Epoch(train) [16][3720/3757] lr: 1.000e-02 eta: 23:13:28 time: 0.194 data_time: 0.011 memory: 5148 grad_norm: 5.4063 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0155 loss: 2.0155 2022/06/27 21:46:10 - mmengine - INFO - Epoch(train) [16][3740/3757] lr: 1.000e-02 eta: 23:13:22 time: 0.189 data_time: 0.007 memory: 5148 grad_norm: 4.9040 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2144 loss: 2.2144 2022/06/27 21:46:14 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 21:46:20 - mmengine - INFO - Epoch(val) [16][20/310] eta: 0:01:16 time: 0.377 data_time: 0.300 memory: 5148 2022/06/27 21:46:25 - mmengine - INFO - Epoch(val) [16][40/310] eta: 0:01:02 time: 0.076 data_time: 0.005 memory: 1367 2022/06/27 21:46:31 - mmengine - INFO - Epoch(val) [16][60/310] eta: 0:01:03 time: 0.442 data_time: 0.371 memory: 1367 2022/06/27 21:46:36 - mmengine - INFO - Epoch(val) [16][80/310] eta: 0:00:55 time: 0.092 data_time: 0.016 memory: 1367 2022/06/27 21:46:42 - mmengine - INFO - Epoch(val) [16][100/310] eta: 0:00:54 time: 0.363 data_time: 0.289 memory: 1367 2022/06/27 21:46:47 - mmengine - INFO - Epoch(val) [16][120/310] eta: 0:00:52 time: 0.397 data_time: 0.326 memory: 1367 2022/06/27 21:46:52 - mmengine - INFO - Epoch(val) [16][140/310] eta: 0:00:53 time: 0.903 data_time: 0.827 memory: 1367 2022/06/27 21:46:57 - mmengine - INFO - Epoch(val) [16][160/310] eta: 0:00:38 time: 0.567 data_time: 0.489 memory: 1367 2022/06/27 21:47:03 - mmengine - INFO - Epoch(val) [16][180/310] eta: 0:00:47 time: 0.963 data_time: 0.892 memory: 1367 2022/06/27 21:47:08 - mmengine - INFO - Epoch(val) [16][200/310] eta: 0:00:26 time: 0.086 data_time: 0.008 memory: 1367 2022/06/27 21:47:14 - mmengine - INFO - Epoch(val) [16][220/310] eta: 0:00:31 time: 0.089 data_time: 0.008 memory: 1367 2022/06/27 21:47:18 - mmengine - INFO - Epoch(val) [16][240/310] eta: 0:00:15 time: 0.080 data_time: 0.008 memory: 1367 2022/06/27 21:47:24 - mmengine - INFO - Epoch(val) [16][260/310] eta: 0:00:16 time: 0.076 data_time: 0.005 memory: 1367 2022/06/27 21:47:28 - mmengine - INFO - Epoch(val) [16][280/310] eta: 0:00:06 time: 0.080 data_time: 0.009 memory: 1367 2022/06/27 21:47:34 - mmengine - INFO - Epoch(val) [16][300/310] eta: 0:00:03 time: 0.076 data_time: 0.005 memory: 1367 2022/06/27 21:47:38 - mmengine - INFO - Epoch(val) [16][310/310] acc/top1: 0.5252 acc/top5: 0.7810 acc/mean1: 0.5250 2022/06/27 21:47:46 - mmengine - INFO - Epoch(train) [17][20/3757] lr: 1.000e-02 eta: 23:13:15 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.0607 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1372 loss: 2.1372 2022/06/27 21:47:52 - mmengine - INFO - Epoch(train) [17][40/3757] lr: 1.000e-02 eta: 23:13:11 time: 0.209 data_time: 0.022 memory: 5148 grad_norm: 5.5019 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1362 loss: 2.1362 2022/06/27 21:47:57 - mmengine - INFO - Epoch(train) [17][60/3757] lr: 1.000e-02 eta: 23:13:05 time: 0.677 data_time: 0.008 memory: 5148 grad_norm: 5.4566 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.0858 loss: 2.0858 2022/06/27 21:48:02 - mmengine - INFO - Epoch(train) [17][80/3757] lr: 1.000e-02 eta: 23:13:00 time: 0.195 data_time: 0.009 memory: 5148 grad_norm: 6.0674 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9618 loss: 1.9618 2022/06/27 21:48:08 - mmengine - INFO - Epoch(train) [17][100/3757] lr: 1.000e-02 eta: 23:12:57 time: 0.373 data_time: 0.007 memory: 5148 grad_norm: 6.1919 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2899 loss: 2.2899 2022/06/27 21:48:13 - mmengine - INFO - Epoch(train) [17][120/3757] lr: 1.000e-02 eta: 23:12:48 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.0040 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8766 loss: 1.8766 2022/06/27 21:48:18 - mmengine - INFO - Epoch(train) [17][140/3757] lr: 1.000e-02 eta: 23:12:45 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 5.5620 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7638 loss: 1.7638 2022/06/27 21:48:24 - mmengine - INFO - Epoch(train) [17][160/3757] lr: 1.000e-02 eta: 23:12:42 time: 0.205 data_time: 0.018 memory: 5148 grad_norm: 6.3208 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9237 loss: 2.9237 2022/06/27 21:48:29 - mmengine - INFO - Epoch(train) [17][180/3757] lr: 1.000e-02 eta: 23:12:33 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 6.2195 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8380 loss: 2.8380 2022/06/27 21:48:34 - mmengine - INFO - Epoch(train) [17][200/3757] lr: 1.000e-02 eta: 23:12:28 time: 0.208 data_time: 0.011 memory: 5148 grad_norm: 5.5344 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3776 loss: 2.3776 2022/06/27 21:48:39 - mmengine - INFO - Epoch(train) [17][220/3757] lr: 1.000e-02 eta: 23:12:24 time: 0.200 data_time: 0.023 memory: 5148 grad_norm: 5.5465 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2841 loss: 2.2841 2022/06/27 21:48:44 - mmengine - INFO - Epoch(train) [17][240/3757] lr: 1.000e-02 eta: 23:12:17 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.5791 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2963 loss: 2.2963 2022/06/27 21:48:50 - mmengine - INFO - Epoch(train) [17][260/3757] lr: 1.000e-02 eta: 23:12:13 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.3565 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3893 loss: 2.3893 2022/06/27 21:48:55 - mmengine - INFO - Epoch(train) [17][280/3757] lr: 1.000e-02 eta: 23:12:08 time: 0.208 data_time: 0.010 memory: 5148 grad_norm: 5.5076 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3320 loss: 2.3320 2022/06/27 21:49:00 - mmengine - INFO - Epoch(train) [17][300/3757] lr: 1.000e-02 eta: 23:11:57 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 5.7298 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0986 loss: 2.0986 2022/06/27 21:49:05 - mmengine - INFO - Epoch(train) [17][320/3757] lr: 1.000e-02 eta: 23:11:53 time: 0.187 data_time: 0.009 memory: 5148 grad_norm: 4.9555 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2217 loss: 2.2217 2022/06/27 21:49:11 - mmengine - INFO - Epoch(train) [17][340/3757] lr: 1.000e-02 eta: 23:11:49 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 4.3040 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1420 loss: 2.1420 2022/06/27 21:49:15 - mmengine - INFO - Epoch(train) [17][360/3757] lr: 1.000e-02 eta: 23:11:41 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.6737 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8613 loss: 1.8613 2022/06/27 21:49:21 - mmengine - INFO - Epoch(train) [17][380/3757] lr: 1.000e-02 eta: 23:11:38 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 6.8501 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.7846 loss: 1.7846 2022/06/27 21:49:27 - mmengine - INFO - Epoch(train) [17][400/3757] lr: 1.000e-02 eta: 23:11:38 time: 0.213 data_time: 0.009 memory: 5148 grad_norm: 5.8903 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9547 loss: 1.9547 2022/06/27 21:49:32 - mmengine - INFO - Epoch(train) [17][420/3757] lr: 1.000e-02 eta: 23:11:26 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 5.6676 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.9566 loss: 1.9566 2022/06/27 21:49:37 - mmengine - INFO - Epoch(train) [17][440/3757] lr: 1.000e-02 eta: 23:11:20 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.1097 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3235 loss: 2.3235 2022/06/27 21:49:43 - mmengine - INFO - Epoch(train) [17][460/3757] lr: 1.000e-02 eta: 23:11:18 time: 0.203 data_time: 0.015 memory: 5148 grad_norm: 5.4174 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5281 loss: 2.5281 2022/06/27 21:49:47 - mmengine - INFO - Epoch(train) [17][480/3757] lr: 1.000e-02 eta: 23:11:10 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 5.3640 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.4016 loss: 2.4016 2022/06/27 21:49:53 - mmengine - INFO - Epoch(train) [17][500/3757] lr: 1.000e-02 eta: 23:11:05 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.3569 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4575 loss: 2.4575 2022/06/27 21:49:59 - mmengine - INFO - Epoch(train) [17][520/3757] lr: 1.000e-02 eta: 23:11:04 time: 0.206 data_time: 0.021 memory: 5148 grad_norm: 4.9684 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3327 loss: 2.3327 2022/06/27 21:50:04 - mmengine - INFO - Epoch(train) [17][540/3757] lr: 1.000e-02 eta: 23:10:56 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.6273 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3722 loss: 2.3722 2022/06/27 21:50:09 - mmengine - INFO - Epoch(train) [17][560/3757] lr: 1.000e-02 eta: 23:10:52 time: 0.189 data_time: 0.009 memory: 5148 grad_norm: 6.1632 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9639 loss: 1.9639 2022/06/27 21:50:15 - mmengine - INFO - Epoch(train) [17][580/3757] lr: 1.000e-02 eta: 23:10:49 time: 0.228 data_time: 0.010 memory: 5148 grad_norm: 5.4540 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1509 loss: 2.1509 2022/06/27 21:50:19 - mmengine - INFO - Epoch(train) [17][600/3757] lr: 1.000e-02 eta: 23:10:39 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 4.9470 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2865 loss: 2.2865 2022/06/27 21:50:25 - mmengine - INFO - Epoch(train) [17][620/3757] lr: 1.000e-02 eta: 23:10:33 time: 0.188 data_time: 0.007 memory: 5148 grad_norm: 5.6476 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3287 loss: 2.3287 2022/06/27 21:50:30 - mmengine - INFO - Epoch(train) [17][640/3757] lr: 1.000e-02 eta: 23:10:30 time: 0.225 data_time: 0.016 memory: 5148 grad_norm: 5.0411 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1660 loss: 2.1660 2022/06/27 21:50:35 - mmengine - INFO - Epoch(train) [17][660/3757] lr: 1.000e-02 eta: 23:10:22 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 5.2686 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2165 loss: 2.2165 2022/06/27 21:50:41 - mmengine - INFO - Epoch(train) [17][680/3757] lr: 1.000e-02 eta: 23:10:18 time: 0.192 data_time: 0.006 memory: 5148 grad_norm: 5.7626 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9590 loss: 1.9590 2022/06/27 21:50:46 - mmengine - INFO - Epoch(train) [17][700/3757] lr: 1.000e-02 eta: 23:10:13 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 5.6071 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7762 loss: 1.7762 2022/06/27 21:50:51 - mmengine - INFO - Epoch(train) [17][720/3757] lr: 1.000e-02 eta: 23:10:08 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 5.5713 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1944 loss: 2.1944 2022/06/27 21:50:57 - mmengine - INFO - Epoch(train) [17][740/3757] lr: 1.000e-02 eta: 23:10:05 time: 0.241 data_time: 0.036 memory: 5148 grad_norm: 5.6977 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2636 loss: 2.2636 2022/06/27 21:51:02 - mmengine - INFO - Epoch(train) [17][760/3757] lr: 1.000e-02 eta: 23:09:58 time: 0.210 data_time: 0.013 memory: 5148 grad_norm: 5.5456 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5397 loss: 2.5397 2022/06/27 21:51:07 - mmengine - INFO - Epoch(train) [17][780/3757] lr: 1.000e-02 eta: 23:09:49 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.7974 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2954 loss: 2.2954 2022/06/27 21:51:12 - mmengine - INFO - Epoch(train) [17][800/3757] lr: 1.000e-02 eta: 23:09:44 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 5.2483 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9957 loss: 1.9957 2022/06/27 21:51:18 - mmengine - INFO - Epoch(train) [17][820/3757] lr: 1.000e-02 eta: 23:09:42 time: 0.210 data_time: 0.009 memory: 5148 grad_norm: 5.5068 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9308 loss: 1.9308 2022/06/27 21:51:23 - mmengine - INFO - Epoch(train) [17][840/3757] lr: 1.000e-02 eta: 23:09:36 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 6.2853 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4988 loss: 2.4988 2022/06/27 21:51:28 - mmengine - INFO - Epoch(train) [17][860/3757] lr: 1.000e-02 eta: 23:09:31 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 5.4033 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1967 loss: 2.1967 2022/06/27 21:51:34 - mmengine - INFO - Epoch(train) [17][880/3757] lr: 1.000e-02 eta: 23:09:27 time: 0.220 data_time: 0.006 memory: 5148 grad_norm: 6.3592 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9836 loss: 1.9836 2022/06/27 21:51:36 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 21:51:39 - mmengine - INFO - Epoch(train) [17][900/3757] lr: 1.000e-02 eta: 23:09:21 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.4802 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2507 loss: 2.2507 2022/06/27 21:51:44 - mmengine - INFO - Epoch(train) [17][920/3757] lr: 1.000e-02 eta: 23:09:14 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 5.8155 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2594 loss: 2.2594 2022/06/27 21:51:50 - mmengine - INFO - Epoch(train) [17][940/3757] lr: 1.000e-02 eta: 23:09:09 time: 0.188 data_time: 0.009 memory: 5148 grad_norm: 4.9505 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1770 loss: 2.1770 2022/06/27 21:51:54 - mmengine - INFO - Epoch(train) [17][960/3757] lr: 1.000e-02 eta: 23:09:01 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 5.2404 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6867 loss: 2.6867 2022/06/27 21:52:00 - mmengine - INFO - Epoch(train) [17][980/3757] lr: 1.000e-02 eta: 23:08:57 time: 0.207 data_time: 0.006 memory: 5148 grad_norm: 5.1950 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2343 loss: 2.2343 2022/06/27 21:52:06 - mmengine - INFO - Epoch(train) [17][1000/3757] lr: 1.000e-02 eta: 23:08:54 time: 0.192 data_time: 0.009 memory: 5148 grad_norm: 6.0037 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4795 loss: 2.4795 2022/06/27 21:52:11 - mmengine - INFO - Epoch(train) [17][1020/3757] lr: 1.000e-02 eta: 23:08:49 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.6626 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2455 loss: 2.2455 2022/06/27 21:52:16 - mmengine - INFO - Epoch(train) [17][1040/3757] lr: 1.000e-02 eta: 23:08:43 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 5.8429 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2836 loss: 2.2836 2022/06/27 21:52:22 - mmengine - INFO - Epoch(train) [17][1060/3757] lr: 1.000e-02 eta: 23:08:39 time: 0.216 data_time: 0.006 memory: 5148 grad_norm: 5.3985 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4243 loss: 2.4243 2022/06/27 21:52:27 - mmengine - INFO - Epoch(train) [17][1080/3757] lr: 1.000e-02 eta: 23:08:33 time: 0.318 data_time: 0.011 memory: 5148 grad_norm: 5.6799 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5496 loss: 1.5496 2022/06/27 21:52:32 - mmengine - INFO - Epoch(train) [17][1100/3757] lr: 1.000e-02 eta: 23:08:25 time: 0.206 data_time: 0.015 memory: 5148 grad_norm: 5.3839 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0198 loss: 2.0198 2022/06/27 21:52:37 - mmengine - INFO - Epoch(train) [17][1120/3757] lr: 1.000e-02 eta: 23:08:22 time: 0.191 data_time: 0.006 memory: 5148 grad_norm: 4.8968 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0234 loss: 2.0234 2022/06/27 21:52:42 - mmengine - INFO - Epoch(train) [17][1140/3757] lr: 1.000e-02 eta: 23:08:14 time: 0.196 data_time: 0.009 memory: 5148 grad_norm: 5.0550 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2672 loss: 2.2672 2022/06/27 21:52:48 - mmengine - INFO - Epoch(train) [17][1160/3757] lr: 1.000e-02 eta: 23:08:12 time: 0.218 data_time: 0.016 memory: 5148 grad_norm: 5.2630 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6036 loss: 2.6036 2022/06/27 21:52:53 - mmengine - INFO - Epoch(train) [17][1180/3757] lr: 1.000e-02 eta: 23:08:04 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 4.7460 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0101 loss: 2.0101 2022/06/27 21:52:58 - mmengine - INFO - Epoch(train) [17][1200/3757] lr: 1.000e-02 eta: 23:07:58 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 5.9008 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0552 loss: 2.0552 2022/06/27 21:53:03 - mmengine - INFO - Epoch(train) [17][1220/3757] lr: 1.000e-02 eta: 23:07:53 time: 0.229 data_time: 0.011 memory: 5148 grad_norm: 5.3525 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2148 loss: 2.2148 2022/06/27 21:53:09 - mmengine - INFO - Epoch(train) [17][1240/3757] lr: 1.000e-02 eta: 23:07:50 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.8631 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1393 loss: 2.1393 2022/06/27 21:53:15 - mmengine - INFO - Epoch(train) [17][1260/3757] lr: 1.000e-02 eta: 23:07:45 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 5.7776 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3740 loss: 2.3740 2022/06/27 21:53:20 - mmengine - INFO - Epoch(train) [17][1280/3757] lr: 1.000e-02 eta: 23:07:39 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 5.5806 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2379 loss: 2.2379 2022/06/27 21:53:25 - mmengine - INFO - Epoch(train) [17][1300/3757] lr: 1.000e-02 eta: 23:07:35 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 5.6524 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.1657 loss: 2.1657 2022/06/27 21:53:31 - mmengine - INFO - Epoch(train) [17][1320/3757] lr: 1.000e-02 eta: 23:07:30 time: 0.214 data_time: 0.005 memory: 5148 grad_norm: 5.4692 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3800 loss: 2.3800 2022/06/27 21:53:36 - mmengine - INFO - Epoch(train) [17][1340/3757] lr: 1.000e-02 eta: 23:07:24 time: 0.201 data_time: 0.013 memory: 5148 grad_norm: 5.8956 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7261 loss: 1.7261 2022/06/27 21:53:41 - mmengine - INFO - Epoch(train) [17][1360/3757] lr: 1.000e-02 eta: 23:07:20 time: 0.192 data_time: 0.010 memory: 5148 grad_norm: 5.9202 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.1929 loss: 2.1929 2022/06/27 21:53:47 - mmengine - INFO - Epoch(train) [17][1380/3757] lr: 1.000e-02 eta: 23:07:16 time: 0.301 data_time: 0.009 memory: 5148 grad_norm: 5.1524 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5912 loss: 2.5912 2022/06/27 21:53:52 - mmengine - INFO - Epoch(train) [17][1400/3757] lr: 1.000e-02 eta: 23:07:08 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 4.7723 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7158 loss: 1.7158 2022/06/27 21:53:58 - mmengine - INFO - Epoch(train) [17][1420/3757] lr: 1.000e-02 eta: 23:07:05 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 6.3852 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0762 loss: 2.0762 2022/06/27 21:54:03 - mmengine - INFO - Epoch(train) [17][1440/3757] lr: 1.000e-02 eta: 23:06:59 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 6.2950 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0935 loss: 2.0935 2022/06/27 21:54:08 - mmengine - INFO - Epoch(train) [17][1460/3757] lr: 1.000e-02 eta: 23:06:53 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.2661 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2472 loss: 2.2472 2022/06/27 21:54:13 - mmengine - INFO - Epoch(train) [17][1480/3757] lr: 1.000e-02 eta: 23:06:47 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 5.5188 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4045 loss: 2.4045 2022/06/27 21:54:18 - mmengine - INFO - Epoch(train) [17][1500/3757] lr: 1.000e-02 eta: 23:06:41 time: 0.193 data_time: 0.011 memory: 5148 grad_norm: 4.8964 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1612 loss: 2.1612 2022/06/27 21:54:23 - mmengine - INFO - Epoch(train) [17][1520/3757] lr: 1.000e-02 eta: 23:06:34 time: 0.197 data_time: 0.016 memory: 5148 grad_norm: 5.5072 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6688 loss: 1.6688 2022/06/27 21:54:29 - mmengine - INFO - Epoch(train) [17][1540/3757] lr: 1.000e-02 eta: 23:06:33 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.3719 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1178 loss: 2.1178 2022/06/27 21:54:34 - mmengine - INFO - Epoch(train) [17][1560/3757] lr: 1.000e-02 eta: 23:06:23 time: 0.218 data_time: 0.010 memory: 5148 grad_norm: 5.4991 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7160 loss: 1.7160 2022/06/27 21:54:39 - mmengine - INFO - Epoch(train) [17][1580/3757] lr: 1.000e-02 eta: 23:06:17 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 5.2358 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0234 loss: 2.0234 2022/06/27 21:54:44 - mmengine - INFO - Epoch(train) [17][1600/3757] lr: 1.000e-02 eta: 23:06:14 time: 0.208 data_time: 0.010 memory: 5148 grad_norm: 5.0967 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2009 loss: 2.2009 2022/06/27 21:54:50 - mmengine - INFO - Epoch(train) [17][1620/3757] lr: 1.000e-02 eta: 23:06:08 time: 0.203 data_time: 0.016 memory: 5148 grad_norm: 5.7003 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6383 loss: 2.6383 2022/06/27 21:54:55 - mmengine - INFO - Epoch(train) [17][1640/3757] lr: 1.000e-02 eta: 23:06:00 time: 0.201 data_time: 0.013 memory: 5148 grad_norm: 5.5621 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0580 loss: 2.0580 2022/06/27 21:55:00 - mmengine - INFO - Epoch(train) [17][1660/3757] lr: 1.000e-02 eta: 23:05:57 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.0933 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9012 loss: 1.9012 2022/06/27 21:55:06 - mmengine - INFO - Epoch(train) [17][1680/3757] lr: 1.000e-02 eta: 23:05:56 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 5.9041 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0278 loss: 2.0278 2022/06/27 21:55:11 - mmengine - INFO - Epoch(train) [17][1700/3757] lr: 1.000e-02 eta: 23:05:50 time: 0.195 data_time: 0.015 memory: 5148 grad_norm: 5.4451 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7709 loss: 2.7709 2022/06/27 21:55:17 - mmengine - INFO - Epoch(train) [17][1720/3757] lr: 1.000e-02 eta: 23:05:44 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.3930 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9727 loss: 1.9727 2022/06/27 21:55:22 - mmengine - INFO - Epoch(train) [17][1740/3757] lr: 1.000e-02 eta: 23:05:41 time: 0.198 data_time: 0.012 memory: 5148 grad_norm: 5.3457 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7047 loss: 1.7047 2022/06/27 21:55:27 - mmengine - INFO - Epoch(train) [17][1760/3757] lr: 1.000e-02 eta: 23:05:31 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.5669 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.1406 loss: 2.1406 2022/06/27 21:55:33 - mmengine - INFO - Epoch(train) [17][1780/3757] lr: 1.000e-02 eta: 23:05:29 time: 0.191 data_time: 0.010 memory: 5148 grad_norm: 5.1363 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3474 loss: 2.3474 2022/06/27 21:55:38 - mmengine - INFO - Epoch(train) [17][1800/3757] lr: 1.000e-02 eta: 23:05:22 time: 0.197 data_time: 0.009 memory: 5148 grad_norm: 5.3159 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1848 loss: 2.1848 2022/06/27 21:55:43 - mmengine - INFO - Epoch(train) [17][1820/3757] lr: 1.000e-02 eta: 23:05:17 time: 0.205 data_time: 0.020 memory: 5148 grad_norm: 5.0304 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9667 loss: 1.9667 2022/06/27 21:55:48 - mmengine - INFO - Epoch(train) [17][1840/3757] lr: 1.000e-02 eta: 23:05:12 time: 0.218 data_time: 0.024 memory: 5148 grad_norm: 5.0564 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3871 loss: 2.3871 2022/06/27 21:55:53 - mmengine - INFO - Epoch(train) [17][1860/3757] lr: 1.000e-02 eta: 23:05:05 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 5.8785 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3637 loss: 2.3637 2022/06/27 21:55:59 - mmengine - INFO - Epoch(train) [17][1880/3757] lr: 1.000e-02 eta: 23:04:59 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 4.8369 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9257 loss: 1.9257 2022/06/27 21:56:01 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 21:56:04 - mmengine - INFO - Epoch(train) [17][1900/3757] lr: 1.000e-02 eta: 23:04:56 time: 0.206 data_time: 0.023 memory: 5148 grad_norm: 4.9417 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1368 loss: 2.1368 2022/06/27 21:56:10 - mmengine - INFO - Epoch(train) [17][1920/3757] lr: 1.000e-02 eta: 23:04:52 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 5.5106 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9494 loss: 1.9494 2022/06/27 21:56:15 - mmengine - INFO - Epoch(train) [17][1940/3757] lr: 1.000e-02 eta: 23:04:45 time: 0.190 data_time: 0.006 memory: 5148 grad_norm: 5.3059 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9027 loss: 1.9027 2022/06/27 21:56:21 - mmengine - INFO - Epoch(train) [17][1960/3757] lr: 1.000e-02 eta: 23:04:42 time: 0.207 data_time: 0.031 memory: 5148 grad_norm: 5.5719 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6256 loss: 2.6256 2022/06/27 21:56:26 - mmengine - INFO - Epoch(train) [17][1980/3757] lr: 1.000e-02 eta: 23:04:35 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.8418 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0549 loss: 2.0549 2022/06/27 21:56:31 - mmengine - INFO - Epoch(train) [17][2000/3757] lr: 1.000e-02 eta: 23:04:28 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 6.2503 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4419 loss: 2.4419 2022/06/27 21:56:37 - mmengine - INFO - Epoch(train) [17][2020/3757] lr: 1.000e-02 eta: 23:04:26 time: 0.210 data_time: 0.031 memory: 5148 grad_norm: 5.9217 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3221 loss: 2.3221 2022/06/27 21:56:42 - mmengine - INFO - Epoch(train) [17][2040/3757] lr: 1.000e-02 eta: 23:04:23 time: 0.196 data_time: 0.012 memory: 5148 grad_norm: 5.2951 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1067 loss: 2.1067 2022/06/27 21:56:47 - mmengine - INFO - Epoch(train) [17][2060/3757] lr: 1.000e-02 eta: 23:04:15 time: 0.373 data_time: 0.017 memory: 5148 grad_norm: 5.9969 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2540 loss: 2.2540 2022/06/27 21:56:52 - mmengine - INFO - Epoch(train) [17][2080/3757] lr: 1.000e-02 eta: 23:04:09 time: 0.196 data_time: 0.018 memory: 5148 grad_norm: 6.2621 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8572 loss: 1.8572 2022/06/27 21:56:58 - mmengine - INFO - Epoch(train) [17][2100/3757] lr: 1.000e-02 eta: 23:04:06 time: 0.199 data_time: 0.014 memory: 5148 grad_norm: 5.8976 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4237 loss: 2.4237 2022/06/27 21:57:03 - mmengine - INFO - Epoch(train) [17][2120/3757] lr: 1.000e-02 eta: 23:03:57 time: 0.195 data_time: 0.006 memory: 5148 grad_norm: 5.3456 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6472 loss: 2.6472 2022/06/27 21:57:09 - mmengine - INFO - Epoch(train) [17][2140/3757] lr: 1.000e-02 eta: 23:03:57 time: 0.197 data_time: 0.024 memory: 5148 grad_norm: 5.9268 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0838 loss: 2.0838 2022/06/27 21:57:14 - mmengine - INFO - Epoch(train) [17][2160/3757] lr: 1.000e-02 eta: 23:03:48 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 5.3570 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9485 loss: 1.9485 2022/06/27 21:57:18 - mmengine - INFO - Epoch(train) [17][2180/3757] lr: 1.000e-02 eta: 23:03:40 time: 0.190 data_time: 0.011 memory: 5148 grad_norm: 5.8602 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1775 loss: 2.1775 2022/06/27 21:57:23 - mmengine - INFO - Epoch(train) [17][2200/3757] lr: 1.000e-02 eta: 23:03:34 time: 0.206 data_time: 0.031 memory: 5148 grad_norm: 5.2787 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1236 loss: 2.1236 2022/06/27 21:57:29 - mmengine - INFO - Epoch(train) [17][2220/3757] lr: 1.000e-02 eta: 23:03:30 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.3044 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3381 loss: 2.3381 2022/06/27 21:57:34 - mmengine - INFO - Epoch(train) [17][2240/3757] lr: 1.000e-02 eta: 23:03:25 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.1648 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8981 loss: 1.8981 2022/06/27 21:57:40 - mmengine - INFO - Epoch(train) [17][2260/3757] lr: 1.000e-02 eta: 23:03:21 time: 0.209 data_time: 0.028 memory: 5148 grad_norm: 5.8463 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1989 loss: 2.1989 2022/06/27 21:57:45 - mmengine - INFO - Epoch(train) [17][2280/3757] lr: 1.000e-02 eta: 23:03:16 time: 0.208 data_time: 0.006 memory: 5148 grad_norm: 5.9702 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0480 loss: 2.0480 2022/06/27 21:57:50 - mmengine - INFO - Epoch(train) [17][2300/3757] lr: 1.000e-02 eta: 23:03:09 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 4.7974 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1430 loss: 2.1430 2022/06/27 21:57:56 - mmengine - INFO - Epoch(train) [17][2320/3757] lr: 1.000e-02 eta: 23:03:06 time: 0.210 data_time: 0.033 memory: 5148 grad_norm: 5.0419 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1971 loss: 2.1971 2022/06/27 21:58:02 - mmengine - INFO - Epoch(train) [17][2340/3757] lr: 1.000e-02 eta: 23:03:03 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.7016 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8956 loss: 1.8956 2022/06/27 21:58:07 - mmengine - INFO - Epoch(train) [17][2360/3757] lr: 1.000e-02 eta: 23:02:56 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.4094 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0463 loss: 2.0463 2022/06/27 21:58:12 - mmengine - INFO - Epoch(train) [17][2380/3757] lr: 1.000e-02 eta: 23:02:52 time: 0.219 data_time: 0.036 memory: 5148 grad_norm: 5.0098 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7559 loss: 1.7559 2022/06/27 21:58:18 - mmengine - INFO - Epoch(train) [17][2400/3757] lr: 1.000e-02 eta: 23:02:47 time: 0.227 data_time: 0.006 memory: 5148 grad_norm: 5.4570 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8775 loss: 1.8775 2022/06/27 21:58:23 - mmengine - INFO - Epoch(train) [17][2420/3757] lr: 1.000e-02 eta: 23:02:40 time: 0.208 data_time: 0.010 memory: 5148 grad_norm: 5.7779 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.4212 loss: 2.4212 2022/06/27 21:58:28 - mmengine - INFO - Epoch(train) [17][2440/3757] lr: 1.000e-02 eta: 23:02:36 time: 0.200 data_time: 0.014 memory: 5148 grad_norm: 5.2426 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3099 loss: 2.3099 2022/06/27 21:58:33 - mmengine - INFO - Epoch(train) [17][2460/3757] lr: 1.000e-02 eta: 23:02:29 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 5.6046 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4958 loss: 2.4958 2022/06/27 21:58:38 - mmengine - INFO - Epoch(train) [17][2480/3757] lr: 1.000e-02 eta: 23:02:24 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.6365 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3153 loss: 2.3153 2022/06/27 21:58:44 - mmengine - INFO - Epoch(train) [17][2500/3757] lr: 1.000e-02 eta: 23:02:20 time: 0.195 data_time: 0.014 memory: 5148 grad_norm: 6.4638 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3626 loss: 2.3626 2022/06/27 21:58:49 - mmengine - INFO - Epoch(train) [17][2520/3757] lr: 1.000e-02 eta: 23:02:15 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 5.1256 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3460 loss: 2.3460 2022/06/27 21:58:54 - mmengine - INFO - Epoch(train) [17][2540/3757] lr: 1.000e-02 eta: 23:02:08 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 6.0680 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4685 loss: 2.4685 2022/06/27 21:59:00 - mmengine - INFO - Epoch(train) [17][2560/3757] lr: 1.000e-02 eta: 23:02:04 time: 0.198 data_time: 0.017 memory: 5148 grad_norm: 4.8604 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0779 loss: 2.0779 2022/06/27 21:59:05 - mmengine - INFO - Epoch(train) [17][2580/3757] lr: 1.000e-02 eta: 23:01:59 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.4353 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.4713 loss: 2.4713 2022/06/27 21:59:10 - mmengine - INFO - Epoch(train) [17][2600/3757] lr: 1.000e-02 eta: 23:01:52 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 5.7081 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5935 loss: 2.5935 2022/06/27 21:59:16 - mmengine - INFO - Epoch(train) [17][2620/3757] lr: 1.000e-02 eta: 23:01:49 time: 0.207 data_time: 0.017 memory: 5148 grad_norm: 5.4279 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0109 loss: 2.0109 2022/06/27 21:59:21 - mmengine - INFO - Epoch(train) [17][2640/3757] lr: 1.000e-02 eta: 23:01:44 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 5.6768 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3116 loss: 2.3116 2022/06/27 21:59:26 - mmengine - INFO - Epoch(train) [17][2660/3757] lr: 1.000e-02 eta: 23:01:36 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.8602 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5939 loss: 2.5939 2022/06/27 21:59:32 - mmengine - INFO - Epoch(train) [17][2680/3757] lr: 1.000e-02 eta: 23:01:33 time: 0.216 data_time: 0.008 memory: 5148 grad_norm: 6.1412 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1302 loss: 2.1302 2022/06/27 21:59:38 - mmengine - INFO - Epoch(train) [17][2700/3757] lr: 1.000e-02 eta: 23:01:30 time: 0.400 data_time: 0.011 memory: 5148 grad_norm: 5.3851 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4861 loss: 2.4861 2022/06/27 21:59:42 - mmengine - INFO - Epoch(train) [17][2720/3757] lr: 1.000e-02 eta: 23:01:20 time: 0.187 data_time: 0.010 memory: 5148 grad_norm: 6.0892 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2762 loss: 2.2762 2022/06/27 21:59:48 - mmengine - INFO - Epoch(train) [17][2740/3757] lr: 1.000e-02 eta: 23:01:19 time: 0.208 data_time: 0.010 memory: 5148 grad_norm: 6.1405 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9372 loss: 1.9372 2022/06/27 21:59:54 - mmengine - INFO - Epoch(train) [17][2760/3757] lr: 1.000e-02 eta: 23:01:15 time: 0.210 data_time: 0.010 memory: 5148 grad_norm: 5.0230 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8514 loss: 1.8514 2022/06/27 21:59:59 - mmengine - INFO - Epoch(train) [17][2780/3757] lr: 1.000e-02 eta: 23:01:09 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.8583 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1742 loss: 2.1742 2022/06/27 22:00:04 - mmengine - INFO - Epoch(train) [17][2800/3757] lr: 1.000e-02 eta: 23:01:05 time: 0.208 data_time: 0.009 memory: 5148 grad_norm: 5.7160 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1439 loss: 2.1439 2022/06/27 22:00:10 - mmengine - INFO - Epoch(train) [17][2820/3757] lr: 1.000e-02 eta: 23:01:00 time: 0.205 data_time: 0.018 memory: 5148 grad_norm: 5.9614 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4955 loss: 2.4955 2022/06/27 22:00:15 - mmengine - INFO - Epoch(train) [17][2840/3757] lr: 1.000e-02 eta: 23:00:53 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 5.5504 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0148 loss: 2.0148 2022/06/27 22:00:20 - mmengine - INFO - Epoch(train) [17][2860/3757] lr: 1.000e-02 eta: 23:00:48 time: 0.238 data_time: 0.006 memory: 5148 grad_norm: 6.1180 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2346 loss: 2.2346 2022/06/27 22:00:26 - mmengine - INFO - Epoch(train) [17][2880/3757] lr: 1.000e-02 eta: 23:00:47 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 5.4207 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3314 loss: 2.3314 2022/06/27 22:00:28 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 22:00:31 - mmengine - INFO - Epoch(train) [17][2900/3757] lr: 1.000e-02 eta: 23:00:37 time: 0.200 data_time: 0.017 memory: 5148 grad_norm: 5.5280 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1824 loss: 2.1824 2022/06/27 22:00:36 - mmengine - INFO - Epoch(train) [17][2920/3757] lr: 1.000e-02 eta: 23:00:32 time: 0.205 data_time: 0.017 memory: 5148 grad_norm: 5.9927 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8652 loss: 1.8652 2022/06/27 22:00:41 - mmengine - INFO - Epoch(train) [17][2940/3757] lr: 1.000e-02 eta: 23:00:27 time: 0.196 data_time: 0.009 memory: 5148 grad_norm: 5.4639 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1620 loss: 2.1620 2022/06/27 22:00:46 - mmengine - INFO - Epoch(train) [17][2960/3757] lr: 1.000e-02 eta: 23:00:19 time: 0.192 data_time: 0.010 memory: 5148 grad_norm: 4.7257 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8945 loss: 1.8945 2022/06/27 22:00:52 - mmengine - INFO - Epoch(train) [17][2980/3757] lr: 1.000e-02 eta: 23:00:17 time: 0.272 data_time: 0.017 memory: 5148 grad_norm: 5.5685 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0888 loss: 2.0888 2022/06/27 22:00:57 - mmengine - INFO - Epoch(train) [17][3000/3757] lr: 1.000e-02 eta: 23:00:10 time: 0.194 data_time: 0.012 memory: 5148 grad_norm: 5.3518 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2389 loss: 2.2389 2022/06/27 22:01:02 - mmengine - INFO - Epoch(train) [17][3020/3757] lr: 1.000e-02 eta: 23:00:03 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 5.0269 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0952 loss: 2.0952 2022/06/27 22:01:08 - mmengine - INFO - Epoch(train) [17][3040/3757] lr: 1.000e-02 eta: 22:59:59 time: 0.212 data_time: 0.025 memory: 5148 grad_norm: 5.3229 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2640 loss: 2.2640 2022/06/27 22:01:13 - mmengine - INFO - Epoch(train) [17][3060/3757] lr: 1.000e-02 eta: 22:59:53 time: 0.206 data_time: 0.016 memory: 5148 grad_norm: 5.3532 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2790 loss: 2.2790 2022/06/27 22:01:18 - mmengine - INFO - Epoch(train) [17][3080/3757] lr: 1.000e-02 eta: 22:59:48 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 5.6388 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3032 loss: 2.3032 2022/06/27 22:01:24 - mmengine - INFO - Epoch(train) [17][3100/3757] lr: 1.000e-02 eta: 22:59:44 time: 0.216 data_time: 0.012 memory: 5148 grad_norm: 5.6219 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9468 loss: 1.9468 2022/06/27 22:01:29 - mmengine - INFO - Epoch(train) [17][3120/3757] lr: 1.000e-02 eta: 22:59:38 time: 0.197 data_time: 0.019 memory: 5148 grad_norm: 5.0715 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1178 loss: 2.1178 2022/06/27 22:01:34 - mmengine - INFO - Epoch(train) [17][3140/3757] lr: 1.000e-02 eta: 22:59:33 time: 0.195 data_time: 0.015 memory: 5148 grad_norm: 4.6790 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8847 loss: 1.8847 2022/06/27 22:01:40 - mmengine - INFO - Epoch(train) [17][3160/3757] lr: 1.000e-02 eta: 22:59:28 time: 0.245 data_time: 0.013 memory: 5148 grad_norm: 4.6398 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2856 loss: 2.2856 2022/06/27 22:01:45 - mmengine - INFO - Epoch(train) [17][3180/3757] lr: 1.000e-02 eta: 22:59:21 time: 0.196 data_time: 0.012 memory: 5148 grad_norm: 5.7456 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1181 loss: 2.1181 2022/06/27 22:01:50 - mmengine - INFO - Epoch(train) [17][3200/3757] lr: 1.000e-02 eta: 22:59:16 time: 0.203 data_time: 0.017 memory: 5148 grad_norm: 5.5599 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.2469 loss: 2.2469 2022/06/27 22:01:56 - mmengine - INFO - Epoch(train) [17][3220/3757] lr: 1.000e-02 eta: 22:59:12 time: 0.209 data_time: 0.028 memory: 5148 grad_norm: 5.4640 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4754 loss: 2.4754 2022/06/27 22:02:01 - mmengine - INFO - Epoch(train) [17][3240/3757] lr: 1.000e-02 eta: 22:59:08 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 5.9044 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3440 loss: 2.3440 2022/06/27 22:02:07 - mmengine - INFO - Epoch(train) [17][3260/3757] lr: 1.000e-02 eta: 22:59:04 time: 0.886 data_time: 0.012 memory: 5148 grad_norm: 6.0040 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0392 loss: 2.0392 2022/06/27 22:02:12 - mmengine - INFO - Epoch(train) [17][3280/3757] lr: 1.000e-02 eta: 22:58:59 time: 0.523 data_time: 0.020 memory: 5148 grad_norm: 5.9182 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9325 loss: 1.9325 2022/06/27 22:02:17 - mmengine - INFO - Epoch(train) [17][3300/3757] lr: 1.000e-02 eta: 22:58:54 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.3790 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.3689 loss: 2.3689 2022/06/27 22:02:23 - mmengine - INFO - Epoch(train) [17][3320/3757] lr: 1.000e-02 eta: 22:58:51 time: 1.162 data_time: 0.016 memory: 5148 grad_norm: 5.5618 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0481 loss: 2.0481 2022/06/27 22:02:28 - mmengine - INFO - Epoch(train) [17][3340/3757] lr: 1.000e-02 eta: 22:58:42 time: 0.221 data_time: 0.017 memory: 5148 grad_norm: 6.0872 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4401 loss: 2.4401 2022/06/27 22:02:34 - mmengine - INFO - Epoch(train) [17][3360/3757] lr: 1.000e-02 eta: 22:58:41 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.3431 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.5101 loss: 2.5101 2022/06/27 22:02:39 - mmengine - INFO - Epoch(train) [17][3380/3757] lr: 1.000e-02 eta: 22:58:36 time: 0.720 data_time: 0.021 memory: 5148 grad_norm: 5.2515 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7983 loss: 2.7983 2022/06/27 22:02:44 - mmengine - INFO - Epoch(train) [17][3400/3757] lr: 1.000e-02 eta: 22:58:29 time: 0.214 data_time: 0.022 memory: 5148 grad_norm: 5.7253 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1339 loss: 2.1339 2022/06/27 22:02:50 - mmengine - INFO - Epoch(train) [17][3420/3757] lr: 1.000e-02 eta: 22:58:25 time: 0.203 data_time: 0.009 memory: 5148 grad_norm: 6.4168 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2875 loss: 2.2875 2022/06/27 22:02:56 - mmengine - INFO - Epoch(train) [17][3440/3757] lr: 1.000e-02 eta: 22:58:22 time: 1.358 data_time: 0.010 memory: 5148 grad_norm: 4.9148 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8835 loss: 1.8835 2022/06/27 22:03:00 - mmengine - INFO - Epoch(train) [17][3460/3757] lr: 1.000e-02 eta: 22:58:12 time: 0.205 data_time: 0.005 memory: 5148 grad_norm: 5.0836 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3245 loss: 2.3245 2022/06/27 22:03:06 - mmengine - INFO - Epoch(train) [17][3480/3757] lr: 1.000e-02 eta: 22:58:09 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 5.8792 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1892 loss: 2.1892 2022/06/27 22:03:11 - mmengine - INFO - Epoch(train) [17][3500/3757] lr: 1.000e-02 eta: 22:58:05 time: 1.003 data_time: 0.006 memory: 5148 grad_norm: 5.7179 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0808 loss: 2.0808 2022/06/27 22:03:16 - mmengine - INFO - Epoch(train) [17][3520/3757] lr: 1.000e-02 eta: 22:57:56 time: 0.198 data_time: 0.012 memory: 5148 grad_norm: 5.9771 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6471 loss: 2.6471 2022/06/27 22:03:21 - mmengine - INFO - Epoch(train) [17][3540/3757] lr: 1.000e-02 eta: 22:57:50 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 5.8600 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8821 loss: 1.8821 2022/06/27 22:03:27 - mmengine - INFO - Epoch(train) [17][3560/3757] lr: 1.000e-02 eta: 22:57:47 time: 0.306 data_time: 0.016 memory: 5148 grad_norm: 5.2549 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4971 loss: 2.4971 2022/06/27 22:03:32 - mmengine - INFO - Epoch(train) [17][3580/3757] lr: 1.000e-02 eta: 22:57:43 time: 0.913 data_time: 0.014 memory: 5148 grad_norm: 5.6705 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2082 loss: 2.2082 2022/06/27 22:03:37 - mmengine - INFO - Epoch(train) [17][3600/3757] lr: 1.000e-02 eta: 22:57:36 time: 0.199 data_time: 0.018 memory: 5148 grad_norm: 5.3735 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5806 loss: 2.5806 2022/06/27 22:03:42 - mmengine - INFO - Epoch(train) [17][3620/3757] lr: 1.000e-02 eta: 22:57:30 time: 0.218 data_time: 0.006 memory: 5148 grad_norm: 5.0972 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2679 loss: 2.2679 2022/06/27 22:03:48 - mmengine - INFO - Epoch(train) [17][3640/3757] lr: 1.000e-02 eta: 22:57:26 time: 0.625 data_time: 0.012 memory: 5148 grad_norm: 5.7841 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2063 loss: 2.2063 2022/06/27 22:03:53 - mmengine - INFO - Epoch(train) [17][3660/3757] lr: 1.000e-02 eta: 22:57:18 time: 0.189 data_time: 0.010 memory: 5148 grad_norm: 4.7901 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0768 loss: 2.0768 2022/06/27 22:03:59 - mmengine - INFO - Epoch(train) [17][3680/3757] lr: 1.000e-02 eta: 22:57:18 time: 0.219 data_time: 0.015 memory: 5148 grad_norm: 5.5193 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2336 loss: 2.2336 2022/06/27 22:04:04 - mmengine - INFO - Epoch(train) [17][3700/3757] lr: 1.000e-02 eta: 22:57:12 time: 1.019 data_time: 0.011 memory: 5148 grad_norm: 5.6096 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2734 loss: 2.2734 2022/06/27 22:04:09 - mmengine - INFO - Epoch(train) [17][3720/3757] lr: 1.000e-02 eta: 22:57:06 time: 0.192 data_time: 0.010 memory: 5148 grad_norm: 6.3289 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8657 loss: 1.8657 2022/06/27 22:04:14 - mmengine - INFO - Epoch(train) [17][3740/3757] lr: 1.000e-02 eta: 22:57:00 time: 0.215 data_time: 0.014 memory: 5148 grad_norm: 5.1538 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9567 loss: 1.9567 2022/06/27 22:04:18 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 22:04:24 - mmengine - INFO - Epoch(val) [17][20/310] eta: 0:01:09 time: 0.252 data_time: 0.175 memory: 5148 2022/06/27 22:04:29 - mmengine - INFO - Epoch(val) [17][40/310] eta: 0:01:01 time: 0.081 data_time: 0.005 memory: 1367 2022/06/27 22:04:35 - mmengine - INFO - Epoch(val) [17][60/310] eta: 0:00:55 time: 0.085 data_time: 0.008 memory: 1367 2022/06/27 22:04:40 - mmengine - INFO - Epoch(val) [17][80/310] eta: 0:01:00 time: 0.092 data_time: 0.013 memory: 1367 2022/06/27 22:04:46 - mmengine - INFO - Epoch(val) [17][100/310] eta: 0:00:47 time: 0.076 data_time: 0.005 memory: 1367 2022/06/27 22:04:50 - mmengine - INFO - Epoch(val) [17][120/310] eta: 0:00:48 time: 0.478 data_time: 0.400 memory: 1367 2022/06/27 22:04:56 - mmengine - INFO - Epoch(val) [17][140/310] eta: 0:00:49 time: 0.514 data_time: 0.443 memory: 1367 2022/06/27 22:05:02 - mmengine - INFO - Epoch(val) [17][160/310] eta: 0:00:41 time: 0.635 data_time: 0.565 memory: 1367 2022/06/27 22:05:07 - mmengine - INFO - Epoch(val) [17][180/310] eta: 0:00:39 time: 0.762 data_time: 0.685 memory: 1367 2022/06/27 22:05:12 - mmengine - INFO - Epoch(val) [17][200/310] eta: 0:00:31 time: 0.524 data_time: 0.452 memory: 1367 2022/06/27 22:05:18 - mmengine - INFO - Epoch(val) [17][220/310] eta: 0:00:26 time: 0.094 data_time: 0.005 memory: 1367 2022/06/27 22:05:23 - mmengine - INFO - Epoch(val) [17][240/310] eta: 0:00:16 time: 0.087 data_time: 0.015 memory: 1367 2022/06/27 22:05:28 - mmengine - INFO - Epoch(val) [17][260/310] eta: 0:00:15 time: 0.204 data_time: 0.128 memory: 1367 2022/06/27 22:05:33 - mmengine - INFO - Epoch(val) [17][280/310] eta: 0:00:07 time: 0.084 data_time: 0.011 memory: 1367 2022/06/27 22:05:39 - mmengine - INFO - Epoch(val) [17][300/310] eta: 0:00:03 time: 0.285 data_time: 0.207 memory: 1367 2022/06/27 22:05:41 - mmengine - INFO - Epoch(val) [17][310/310] acc/top1: 0.5327 acc/top5: 0.7810 acc/mean1: 0.5327 2022/06/27 22:05:49 - mmengine - INFO - Epoch(train) [18][20/3757] lr: 1.000e-02 eta: 22:56:50 time: 0.192 data_time: 0.009 memory: 5148 grad_norm: 6.1848 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.0774 loss: 2.0774 2022/06/27 22:05:56 - mmengine - INFO - Epoch(train) [18][40/3757] lr: 1.000e-02 eta: 22:56:49 time: 0.198 data_time: 0.019 memory: 5148 grad_norm: 6.2010 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6943 loss: 1.6943 2022/06/27 22:06:01 - mmengine - INFO - Epoch(train) [18][60/3757] lr: 1.000e-02 eta: 22:56:42 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 5.5966 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5763 loss: 2.5763 2022/06/27 22:06:06 - mmengine - INFO - Epoch(train) [18][80/3757] lr: 1.000e-02 eta: 22:56:36 time: 0.209 data_time: 0.006 memory: 5148 grad_norm: 4.8492 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8484 loss: 1.8484 2022/06/27 22:06:11 - mmengine - INFO - Epoch(train) [18][100/3757] lr: 1.000e-02 eta: 22:56:32 time: 0.196 data_time: 0.022 memory: 5148 grad_norm: 5.1634 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0822 loss: 2.0822 2022/06/27 22:06:16 - mmengine - INFO - Epoch(train) [18][120/3757] lr: 1.000e-02 eta: 22:56:25 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.5745 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2487 loss: 2.2487 2022/06/27 22:06:19 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 22:06:21 - mmengine - INFO - Epoch(train) [18][140/3757] lr: 1.000e-02 eta: 22:56:19 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.7778 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3031 loss: 2.3031 2022/06/27 22:06:27 - mmengine - INFO - Epoch(train) [18][160/3757] lr: 1.000e-02 eta: 22:56:16 time: 0.455 data_time: 0.022 memory: 5148 grad_norm: 5.6745 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1720 loss: 2.1720 2022/06/27 22:06:32 - mmengine - INFO - Epoch(train) [18][180/3757] lr: 1.000e-02 eta: 22:56:07 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.7232 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0974 loss: 2.0974 2022/06/27 22:06:37 - mmengine - INFO - Epoch(train) [18][200/3757] lr: 1.000e-02 eta: 22:56:02 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.1762 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3343 loss: 2.3343 2022/06/27 22:06:42 - mmengine - INFO - Epoch(train) [18][220/3757] lr: 1.000e-02 eta: 22:55:57 time: 0.202 data_time: 0.024 memory: 5148 grad_norm: 5.4537 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3368 loss: 2.3368 2022/06/27 22:06:48 - mmengine - INFO - Epoch(train) [18][240/3757] lr: 1.000e-02 eta: 22:55:51 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 5.6033 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1902 loss: 2.1902 2022/06/27 22:06:54 - mmengine - INFO - Epoch(train) [18][260/3757] lr: 1.000e-02 eta: 22:55:49 time: 0.200 data_time: 0.009 memory: 5148 grad_norm: 6.1289 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3972 loss: 2.3972 2022/06/27 22:06:59 - mmengine - INFO - Epoch(train) [18][280/3757] lr: 1.000e-02 eta: 22:55:45 time: 0.210 data_time: 0.015 memory: 5148 grad_norm: 5.0248 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8859 loss: 1.8859 2022/06/27 22:07:04 - mmengine - INFO - Epoch(train) [18][300/3757] lr: 1.000e-02 eta: 22:55:35 time: 0.193 data_time: 0.008 memory: 5148 grad_norm: 5.3271 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5809 loss: 2.5809 2022/06/27 22:07:09 - mmengine - INFO - Epoch(train) [18][320/3757] lr: 1.000e-02 eta: 22:55:33 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.8170 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2455 loss: 2.2455 2022/06/27 22:07:15 - mmengine - INFO - Epoch(train) [18][340/3757] lr: 1.000e-02 eta: 22:55:28 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 4.5479 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1281 loss: 2.1281 2022/06/27 22:07:20 - mmengine - INFO - Epoch(train) [18][360/3757] lr: 1.000e-02 eta: 22:55:20 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.8498 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9881 loss: 1.9881 2022/06/27 22:07:25 - mmengine - INFO - Epoch(train) [18][380/3757] lr: 1.000e-02 eta: 22:55:16 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.0342 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3854 loss: 2.3854 2022/06/27 22:07:31 - mmengine - INFO - Epoch(train) [18][400/3757] lr: 1.000e-02 eta: 22:55:13 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 6.0450 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1506 loss: 2.1506 2022/06/27 22:07:36 - mmengine - INFO - Epoch(train) [18][420/3757] lr: 1.000e-02 eta: 22:55:06 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 5.5824 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2458 loss: 2.2458 2022/06/27 22:07:42 - mmengine - INFO - Epoch(train) [18][440/3757] lr: 1.000e-02 eta: 22:55:03 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.3215 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.2138 loss: 2.2138 2022/06/27 22:07:47 - mmengine - INFO - Epoch(train) [18][460/3757] lr: 1.000e-02 eta: 22:54:57 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 4.8699 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4459 loss: 2.4459 2022/06/27 22:07:52 - mmengine - INFO - Epoch(train) [18][480/3757] lr: 1.000e-02 eta: 22:54:50 time: 0.191 data_time: 0.013 memory: 5148 grad_norm: 5.5874 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.8130 loss: 1.8130 2022/06/27 22:07:57 - mmengine - INFO - Epoch(train) [18][500/3757] lr: 1.000e-02 eta: 22:54:47 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 4.7384 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6178 loss: 2.6178 2022/06/27 22:08:03 - mmengine - INFO - Epoch(train) [18][520/3757] lr: 1.000e-02 eta: 22:54:44 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.8178 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2172 loss: 2.2172 2022/06/27 22:08:08 - mmengine - INFO - Epoch(train) [18][540/3757] lr: 1.000e-02 eta: 22:54:37 time: 0.210 data_time: 0.006 memory: 5148 grad_norm: 5.2627 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1869 loss: 2.1869 2022/06/27 22:08:14 - mmengine - INFO - Epoch(train) [18][560/3757] lr: 1.000e-02 eta: 22:54:33 time: 0.238 data_time: 0.064 memory: 5148 grad_norm: 5.7334 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1122 loss: 2.1122 2022/06/27 22:08:19 - mmengine - INFO - Epoch(train) [18][580/3757] lr: 1.000e-02 eta: 22:54:29 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.6669 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4996 loss: 2.4996 2022/06/27 22:08:25 - mmengine - INFO - Epoch(train) [18][600/3757] lr: 1.000e-02 eta: 22:54:23 time: 0.190 data_time: 0.008 memory: 5148 grad_norm: 5.5199 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1056 loss: 2.1056 2022/06/27 22:08:30 - mmengine - INFO - Epoch(train) [18][620/3757] lr: 1.000e-02 eta: 22:54:18 time: 0.196 data_time: 0.020 memory: 5148 grad_norm: 5.4330 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7508 loss: 2.7508 2022/06/27 22:08:36 - mmengine - INFO - Epoch(train) [18][640/3757] lr: 1.000e-02 eta: 22:54:14 time: 0.201 data_time: 0.013 memory: 5148 grad_norm: 5.2898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6260 loss: 1.6260 2022/06/27 22:08:40 - mmengine - INFO - Epoch(train) [18][660/3757] lr: 1.000e-02 eta: 22:54:06 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.1518 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0551 loss: 2.0551 2022/06/27 22:08:46 - mmengine - INFO - Epoch(train) [18][680/3757] lr: 1.000e-02 eta: 22:54:02 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 5.6400 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2660 loss: 2.2660 2022/06/27 22:08:51 - mmengine - INFO - Epoch(train) [18][700/3757] lr: 1.000e-02 eta: 22:53:57 time: 0.199 data_time: 0.012 memory: 5148 grad_norm: 4.9541 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2815 loss: 2.2815 2022/06/27 22:08:56 - mmengine - INFO - Epoch(train) [18][720/3757] lr: 1.000e-02 eta: 22:53:50 time: 0.205 data_time: 0.016 memory: 5148 grad_norm: 4.8330 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9733 loss: 1.9733 2022/06/27 22:09:02 - mmengine - INFO - Epoch(train) [18][740/3757] lr: 1.000e-02 eta: 22:53:47 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.6991 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4591 loss: 2.4591 2022/06/27 22:09:07 - mmengine - INFO - Epoch(train) [18][760/3757] lr: 1.000e-02 eta: 22:53:41 time: 0.191 data_time: 0.014 memory: 5148 grad_norm: 5.3307 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3768 loss: 2.3768 2022/06/27 22:09:12 - mmengine - INFO - Epoch(train) [18][780/3757] lr: 1.000e-02 eta: 22:53:32 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 5.6757 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1990 loss: 2.1990 2022/06/27 22:09:17 - mmengine - INFO - Epoch(train) [18][800/3757] lr: 1.000e-02 eta: 22:53:29 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 5.6529 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7802 loss: 2.7802 2022/06/27 22:09:22 - mmengine - INFO - Epoch(train) [18][820/3757] lr: 1.000e-02 eta: 22:53:22 time: 0.203 data_time: 0.024 memory: 5148 grad_norm: 5.5183 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4561 loss: 2.4561 2022/06/27 22:09:28 - mmengine - INFO - Epoch(train) [18][840/3757] lr: 1.000e-02 eta: 22:53:16 time: 0.195 data_time: 0.009 memory: 5148 grad_norm: 5.5349 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0070 loss: 2.0070 2022/06/27 22:09:33 - mmengine - INFO - Epoch(train) [18][860/3757] lr: 1.000e-02 eta: 22:53:14 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.1718 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.1563 loss: 2.1563 2022/06/27 22:09:38 - mmengine - INFO - Epoch(train) [18][880/3757] lr: 1.000e-02 eta: 22:53:07 time: 0.246 data_time: 0.012 memory: 5148 grad_norm: 5.9147 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0890 loss: 2.0890 2022/06/27 22:09:43 - mmengine - INFO - Epoch(train) [18][900/3757] lr: 1.000e-02 eta: 22:52:59 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 4.9923 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4964 loss: 2.4964 2022/06/27 22:09:49 - mmengine - INFO - Epoch(train) [18][920/3757] lr: 1.000e-02 eta: 22:52:57 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 5.0124 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4787 loss: 2.4787 2022/06/27 22:09:55 - mmengine - INFO - Epoch(train) [18][940/3757] lr: 1.000e-02 eta: 22:52:52 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 5.0405 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2770 loss: 2.2770 2022/06/27 22:10:00 - mmengine - INFO - Epoch(train) [18][960/3757] lr: 1.000e-02 eta: 22:52:46 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.0327 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2810 loss: 2.2810 2022/06/27 22:10:05 - mmengine - INFO - Epoch(train) [18][980/3757] lr: 1.000e-02 eta: 22:52:42 time: 0.192 data_time: 0.010 memory: 5148 grad_norm: 5.2192 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6376 loss: 2.6376 2022/06/27 22:10:11 - mmengine - INFO - Epoch(train) [18][1000/3757] lr: 1.000e-02 eta: 22:52:36 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 5.6831 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4512 loss: 2.4512 2022/06/27 22:10:15 - mmengine - INFO - Epoch(train) [18][1020/3757] lr: 1.000e-02 eta: 22:52:28 time: 0.202 data_time: 0.018 memory: 5148 grad_norm: 5.7150 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1510 loss: 2.1510 2022/06/27 22:10:20 - mmengine - INFO - Epoch(train) [18][1040/3757] lr: 1.000e-02 eta: 22:52:22 time: 0.192 data_time: 0.006 memory: 5148 grad_norm: 5.6345 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0988 loss: 2.0988 2022/06/27 22:10:26 - mmengine - INFO - Epoch(train) [18][1060/3757] lr: 1.000e-02 eta: 22:52:18 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 5.1082 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2283 loss: 2.2283 2022/06/27 22:10:31 - mmengine - INFO - Epoch(train) [18][1080/3757] lr: 1.000e-02 eta: 22:52:10 time: 0.201 data_time: 0.013 memory: 5148 grad_norm: 6.0636 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.2575 loss: 2.2575 2022/06/27 22:10:36 - mmengine - INFO - Epoch(train) [18][1100/3757] lr: 1.000e-02 eta: 22:52:05 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 5.5946 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4996 loss: 2.4996 2022/06/27 22:10:41 - mmengine - INFO - Epoch(train) [18][1120/3757] lr: 1.000e-02 eta: 22:52:00 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 4.5958 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3537 loss: 2.3537 2022/06/27 22:10:44 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 22:10:46 - mmengine - INFO - Epoch(train) [18][1140/3757] lr: 1.000e-02 eta: 22:51:52 time: 0.207 data_time: 0.022 memory: 5148 grad_norm: 4.8851 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2702 loss: 2.2702 2022/06/27 22:10:52 - mmengine - INFO - Epoch(train) [18][1160/3757] lr: 1.000e-02 eta: 22:51:48 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 6.1480 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.2166 loss: 2.2166 2022/06/27 22:10:57 - mmengine - INFO - Epoch(train) [18][1180/3757] lr: 1.000e-02 eta: 22:51:43 time: 0.213 data_time: 0.015 memory: 5148 grad_norm: 5.5977 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2104 loss: 2.2104 2022/06/27 22:11:02 - mmengine - INFO - Epoch(train) [18][1200/3757] lr: 1.000e-02 eta: 22:51:35 time: 0.208 data_time: 0.018 memory: 5148 grad_norm: 6.6133 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2346 loss: 2.2346 2022/06/27 22:11:07 - mmengine - INFO - Epoch(train) [18][1220/3757] lr: 1.000e-02 eta: 22:51:29 time: 0.201 data_time: 0.013 memory: 5148 grad_norm: 5.1689 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9878 loss: 1.9878 2022/06/27 22:11:12 - mmengine - INFO - Epoch(train) [18][1240/3757] lr: 1.000e-02 eta: 22:51:24 time: 0.304 data_time: 0.006 memory: 5148 grad_norm: 5.6078 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3321 loss: 2.3321 2022/06/27 22:11:18 - mmengine - INFO - Epoch(train) [18][1260/3757] lr: 1.000e-02 eta: 22:51:18 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 4.9438 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4265 loss: 2.4265 2022/06/27 22:11:23 - mmengine - INFO - Epoch(train) [18][1280/3757] lr: 1.000e-02 eta: 22:51:13 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 5.3292 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4133 loss: 2.4133 2022/06/27 22:11:28 - mmengine - INFO - Epoch(train) [18][1300/3757] lr: 1.000e-02 eta: 22:51:09 time: 0.225 data_time: 0.006 memory: 5148 grad_norm: 5.3885 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2728 loss: 2.2728 2022/06/27 22:11:33 - mmengine - INFO - Epoch(train) [18][1320/3757] lr: 1.000e-02 eta: 22:51:02 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 5.1805 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0136 loss: 2.0136 2022/06/27 22:11:39 - mmengine - INFO - Epoch(train) [18][1340/3757] lr: 1.000e-02 eta: 22:50:58 time: 0.191 data_time: 0.013 memory: 5148 grad_norm: 4.9770 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2388 loss: 2.2388 2022/06/27 22:11:44 - mmengine - INFO - Epoch(train) [18][1360/3757] lr: 1.000e-02 eta: 22:50:54 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.6469 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.0219 loss: 2.0219 2022/06/27 22:11:49 - mmengine - INFO - Epoch(train) [18][1380/3757] lr: 1.000e-02 eta: 22:50:47 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 6.0631 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4414 loss: 2.4414 2022/06/27 22:11:55 - mmengine - INFO - Epoch(train) [18][1400/3757] lr: 1.000e-02 eta: 22:50:41 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.5390 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5628 loss: 2.5628 2022/06/27 22:12:00 - mmengine - INFO - Epoch(train) [18][1420/3757] lr: 1.000e-02 eta: 22:50:38 time: 0.196 data_time: 0.006 memory: 5148 grad_norm: 4.6515 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7832 loss: 1.7832 2022/06/27 22:12:05 - mmengine - INFO - Epoch(train) [18][1440/3757] lr: 1.000e-02 eta: 22:50:31 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.1568 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2241 loss: 2.2241 2022/06/27 22:12:11 - mmengine - INFO - Epoch(train) [18][1460/3757] lr: 1.000e-02 eta: 22:50:28 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 5.5846 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0817 loss: 2.0817 2022/06/27 22:12:16 - mmengine - INFO - Epoch(train) [18][1480/3757] lr: 1.000e-02 eta: 22:50:21 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 5.6470 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9231 loss: 1.9231 2022/06/27 22:12:22 - mmengine - INFO - Epoch(train) [18][1500/3757] lr: 1.000e-02 eta: 22:50:18 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 5.8064 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3306 loss: 2.3306 2022/06/27 22:12:27 - mmengine - INFO - Epoch(train) [18][1520/3757] lr: 1.000e-02 eta: 22:50:12 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 5.2245 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2068 loss: 2.2068 2022/06/27 22:12:33 - mmengine - INFO - Epoch(train) [18][1540/3757] lr: 1.000e-02 eta: 22:50:08 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 4.9228 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8099 loss: 1.8099 2022/06/27 22:12:37 - mmengine - INFO - Epoch(train) [18][1560/3757] lr: 1.000e-02 eta: 22:50:00 time: 0.194 data_time: 0.015 memory: 5148 grad_norm: 5.6012 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.2854 loss: 2.2854 2022/06/27 22:12:44 - mmengine - INFO - Epoch(train) [18][1580/3757] lr: 1.000e-02 eta: 22:49:59 time: 0.189 data_time: 0.007 memory: 5148 grad_norm: 5.3582 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3457 loss: 2.3457 2022/06/27 22:12:49 - mmengine - INFO - Epoch(train) [18][1600/3757] lr: 1.000e-02 eta: 22:49:55 time: 0.237 data_time: 0.033 memory: 5148 grad_norm: 4.7747 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3931 loss: 2.3931 2022/06/27 22:12:53 - mmengine - INFO - Epoch(train) [18][1620/3757] lr: 1.000e-02 eta: 22:49:45 time: 0.196 data_time: 0.013 memory: 5148 grad_norm: 5.3041 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0345 loss: 2.0345 2022/06/27 22:12:59 - mmengine - INFO - Epoch(train) [18][1640/3757] lr: 1.000e-02 eta: 22:49:42 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.4138 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1986 loss: 2.1986 2022/06/27 22:13:04 - mmengine - INFO - Epoch(train) [18][1660/3757] lr: 1.000e-02 eta: 22:49:36 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 5.3657 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4780 loss: 2.4780 2022/06/27 22:13:10 - mmengine - INFO - Epoch(train) [18][1680/3757] lr: 1.000e-02 eta: 22:49:33 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.9411 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9434 loss: 1.9434 2022/06/27 22:13:15 - mmengine - INFO - Epoch(train) [18][1700/3757] lr: 1.000e-02 eta: 22:49:25 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.6799 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1747 loss: 2.1747 2022/06/27 22:13:20 - mmengine - INFO - Epoch(train) [18][1720/3757] lr: 1.000e-02 eta: 22:49:19 time: 0.207 data_time: 0.011 memory: 5148 grad_norm: 6.3483 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9430 loss: 1.9430 2022/06/27 22:13:26 - mmengine - INFO - Epoch(train) [18][1740/3757] lr: 1.000e-02 eta: 22:49:15 time: 0.201 data_time: 0.013 memory: 5148 grad_norm: 5.7106 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0971 loss: 2.0971 2022/06/27 22:13:31 - mmengine - INFO - Epoch(train) [18][1760/3757] lr: 1.000e-02 eta: 22:49:10 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.7739 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0962 loss: 2.0962 2022/06/27 22:13:36 - mmengine - INFO - Epoch(train) [18][1780/3757] lr: 1.000e-02 eta: 22:49:04 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.3767 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7464 loss: 2.7464 2022/06/27 22:13:41 - mmengine - INFO - Epoch(train) [18][1800/3757] lr: 1.000e-02 eta: 22:48:58 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.7423 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9166 loss: 1.9166 2022/06/27 22:13:47 - mmengine - INFO - Epoch(train) [18][1820/3757] lr: 1.000e-02 eta: 22:48:54 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 5.1093 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4063 loss: 2.4063 2022/06/27 22:13:53 - mmengine - INFO - Epoch(train) [18][1840/3757] lr: 1.000e-02 eta: 22:48:50 time: 0.199 data_time: 0.005 memory: 5148 grad_norm: 5.4702 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4172 loss: 2.4172 2022/06/27 22:13:57 - mmengine - INFO - Epoch(train) [18][1860/3757] lr: 1.000e-02 eta: 22:48:43 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 5.5448 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0634 loss: 2.0634 2022/06/27 22:14:03 - mmengine - INFO - Epoch(train) [18][1880/3757] lr: 1.000e-02 eta: 22:48:41 time: 0.230 data_time: 0.007 memory: 5148 grad_norm: 5.3723 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4481 loss: 2.4481 2022/06/27 22:14:09 - mmengine - INFO - Epoch(train) [18][1900/3757] lr: 1.000e-02 eta: 22:48:36 time: 0.212 data_time: 0.039 memory: 5148 grad_norm: 6.1573 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1616 loss: 2.1616 2022/06/27 22:14:13 - mmengine - INFO - Epoch(train) [18][1920/3757] lr: 1.000e-02 eta: 22:48:27 time: 0.202 data_time: 0.012 memory: 5148 grad_norm: 5.4049 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0854 loss: 2.0854 2022/06/27 22:14:19 - mmengine - INFO - Epoch(train) [18][1940/3757] lr: 1.000e-02 eta: 22:48:22 time: 0.214 data_time: 0.006 memory: 5148 grad_norm: 5.4981 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8983 loss: 1.8983 2022/06/27 22:14:24 - mmengine - INFO - Epoch(train) [18][1960/3757] lr: 1.000e-02 eta: 22:48:19 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 5.3156 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3182 loss: 2.3182 2022/06/27 22:14:30 - mmengine - INFO - Epoch(train) [18][1980/3757] lr: 1.000e-02 eta: 22:48:15 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 4.5949 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2501 loss: 2.2501 2022/06/27 22:14:35 - mmengine - INFO - Epoch(train) [18][2000/3757] lr: 1.000e-02 eta: 22:48:09 time: 0.207 data_time: 0.013 memory: 5148 grad_norm: 5.8467 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2786 loss: 2.2786 2022/06/27 22:14:41 - mmengine - INFO - Epoch(train) [18][2020/3757] lr: 1.000e-02 eta: 22:48:04 time: 0.192 data_time: 0.010 memory: 5148 grad_norm: 5.5185 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0655 loss: 2.0655 2022/06/27 22:14:45 - mmengine - INFO - Epoch(train) [18][2040/3757] lr: 1.000e-02 eta: 22:47:56 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 5.4637 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3477 loss: 2.3477 2022/06/27 22:14:51 - mmengine - INFO - Epoch(train) [18][2060/3757] lr: 1.000e-02 eta: 22:47:51 time: 0.193 data_time: 0.009 memory: 5148 grad_norm: 5.7717 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4765 loss: 2.4765 2022/06/27 22:14:56 - mmengine - INFO - Epoch(train) [18][2080/3757] lr: 1.000e-02 eta: 22:47:44 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.0242 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1523 loss: 2.1523 2022/06/27 22:15:00 - mmengine - INFO - Epoch(train) [18][2100/3757] lr: 1.000e-02 eta: 22:47:37 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 4.7776 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4846 loss: 2.4846 2022/06/27 22:15:07 - mmengine - INFO - Epoch(train) [18][2120/3757] lr: 1.000e-02 eta: 22:47:35 time: 0.191 data_time: 0.011 memory: 5148 grad_norm: 5.2060 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4997 loss: 2.4997 2022/06/27 22:15:10 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 22:15:12 - mmengine - INFO - Epoch(train) [18][2140/3757] lr: 1.000e-02 eta: 22:47:30 time: 0.193 data_time: 0.009 memory: 5148 grad_norm: 4.9217 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.3167 loss: 2.3167 2022/06/27 22:15:17 - mmengine - INFO - Epoch(train) [18][2160/3757] lr: 1.000e-02 eta: 22:47:22 time: 0.192 data_time: 0.008 memory: 5148 grad_norm: 5.3880 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2319 loss: 2.2319 2022/06/27 22:15:22 - mmengine - INFO - Epoch(train) [18][2180/3757] lr: 1.000e-02 eta: 22:47:17 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.5477 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2180 loss: 2.2180 2022/06/27 22:15:27 - mmengine - INFO - Epoch(train) [18][2200/3757] lr: 1.000e-02 eta: 22:47:12 time: 0.205 data_time: 0.006 memory: 5148 grad_norm: 5.6021 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2231 loss: 2.2231 2022/06/27 22:15:33 - mmengine - INFO - Epoch(train) [18][2220/3757] lr: 1.000e-02 eta: 22:47:06 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 5.4868 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6568 loss: 1.6568 2022/06/27 22:15:38 - mmengine - INFO - Epoch(train) [18][2240/3757] lr: 1.000e-02 eta: 22:47:03 time: 0.553 data_time: 0.007 memory: 5148 grad_norm: 4.9062 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1059 loss: 2.1059 2022/06/27 22:15:43 - mmengine - INFO - Epoch(train) [18][2260/3757] lr: 1.000e-02 eta: 22:46:56 time: 0.217 data_time: 0.006 memory: 5148 grad_norm: 5.7496 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1768 loss: 2.1768 2022/06/27 22:15:49 - mmengine - INFO - Epoch(train) [18][2280/3757] lr: 1.000e-02 eta: 22:46:54 time: 0.212 data_time: 0.031 memory: 5148 grad_norm: 5.6772 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2356 loss: 2.2356 2022/06/27 22:15:55 - mmengine - INFO - Epoch(train) [18][2300/3757] lr: 1.000e-02 eta: 22:46:49 time: 0.191 data_time: 0.006 memory: 5148 grad_norm: 5.0811 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0383 loss: 2.0383 2022/06/27 22:16:00 - mmengine - INFO - Epoch(train) [18][2320/3757] lr: 1.000e-02 eta: 22:46:44 time: 0.232 data_time: 0.006 memory: 5148 grad_norm: 5.6813 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0108 loss: 2.0108 2022/06/27 22:16:05 - mmengine - INFO - Epoch(train) [18][2340/3757] lr: 1.000e-02 eta: 22:46:38 time: 0.201 data_time: 0.015 memory: 5148 grad_norm: 5.5239 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1268 loss: 2.1268 2022/06/27 22:16:11 - mmengine - INFO - Epoch(train) [18][2360/3757] lr: 1.000e-02 eta: 22:46:33 time: 0.195 data_time: 0.006 memory: 5148 grad_norm: 5.6486 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4744 loss: 2.4744 2022/06/27 22:16:16 - mmengine - INFO - Epoch(train) [18][2380/3757] lr: 1.000e-02 eta: 22:46:27 time: 0.286 data_time: 0.006 memory: 5148 grad_norm: 6.0903 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2815 loss: 2.2815 2022/06/27 22:16:21 - mmengine - INFO - Epoch(train) [18][2400/3757] lr: 1.000e-02 eta: 22:46:22 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.5392 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1344 loss: 2.1344 2022/06/27 22:16:26 - mmengine - INFO - Epoch(train) [18][2420/3757] lr: 1.000e-02 eta: 22:46:16 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 5.1870 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4270 loss: 2.4270 2022/06/27 22:16:32 - mmengine - INFO - Epoch(train) [18][2440/3757] lr: 1.000e-02 eta: 22:46:12 time: 0.209 data_time: 0.005 memory: 5148 grad_norm: 5.2652 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0732 loss: 2.0732 2022/06/27 22:16:37 - mmengine - INFO - Epoch(train) [18][2460/3757] lr: 1.000e-02 eta: 22:46:08 time: 0.192 data_time: 0.010 memory: 5148 grad_norm: 6.0223 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9299 loss: 1.9299 2022/06/27 22:16:42 - mmengine - INFO - Epoch(train) [18][2480/3757] lr: 1.000e-02 eta: 22:46:00 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.9085 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8157 loss: 2.8157 2022/06/27 22:16:48 - mmengine - INFO - Epoch(train) [18][2500/3757] lr: 1.000e-02 eta: 22:45:57 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.1785 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8657 loss: 1.8657 2022/06/27 22:16:53 - mmengine - INFO - Epoch(train) [18][2520/3757] lr: 1.000e-02 eta: 22:45:52 time: 0.224 data_time: 0.009 memory: 5148 grad_norm: 5.5500 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7693 loss: 1.7693 2022/06/27 22:16:58 - mmengine - INFO - Epoch(train) [18][2540/3757] lr: 1.000e-02 eta: 22:45:45 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 4.7679 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0614 loss: 2.0614 2022/06/27 22:17:04 - mmengine - INFO - Epoch(train) [18][2560/3757] lr: 1.000e-02 eta: 22:45:40 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.3310 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4397 loss: 2.4397 2022/06/27 22:17:09 - mmengine - INFO - Epoch(train) [18][2580/3757] lr: 1.000e-02 eta: 22:45:34 time: 0.199 data_time: 0.009 memory: 5148 grad_norm: 5.0643 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2772 loss: 2.2772 2022/06/27 22:17:13 - mmengine - INFO - Epoch(train) [18][2600/3757] lr: 1.000e-02 eta: 22:45:25 time: 0.192 data_time: 0.006 memory: 5148 grad_norm: 4.5917 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.3392 loss: 2.3392 2022/06/27 22:17:19 - mmengine - INFO - Epoch(train) [18][2620/3757] lr: 1.000e-02 eta: 22:45:22 time: 0.271 data_time: 0.007 memory: 5148 grad_norm: 6.4982 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9246 loss: 1.9246 2022/06/27 22:17:25 - mmengine - INFO - Epoch(train) [18][2640/3757] lr: 1.000e-02 eta: 22:45:18 time: 0.203 data_time: 0.012 memory: 5148 grad_norm: 5.4948 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1555 loss: 2.1555 2022/06/27 22:17:30 - mmengine - INFO - Epoch(train) [18][2660/3757] lr: 1.000e-02 eta: 22:45:11 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.1167 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3465 loss: 2.3465 2022/06/27 22:17:35 - mmengine - INFO - Epoch(train) [18][2680/3757] lr: 1.000e-02 eta: 22:45:07 time: 0.194 data_time: 0.009 memory: 5148 grad_norm: 5.6677 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.4370 loss: 2.4370 2022/06/27 22:17:41 - mmengine - INFO - Epoch(train) [18][2700/3757] lr: 1.000e-02 eta: 22:45:03 time: 0.210 data_time: 0.023 memory: 5148 grad_norm: 6.0793 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1046 loss: 2.1046 2022/06/27 22:17:46 - mmengine - INFO - Epoch(train) [18][2720/3757] lr: 1.000e-02 eta: 22:44:58 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 5.6262 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2593 loss: 2.2593 2022/06/27 22:17:51 - mmengine - INFO - Epoch(train) [18][2740/3757] lr: 1.000e-02 eta: 22:44:53 time: 0.194 data_time: 0.011 memory: 5148 grad_norm: 5.6528 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4084 loss: 2.4084 2022/06/27 22:17:57 - mmengine - INFO - Epoch(train) [18][2760/3757] lr: 1.000e-02 eta: 22:44:48 time: 0.211 data_time: 0.016 memory: 5148 grad_norm: 5.1250 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1494 loss: 2.1494 2022/06/27 22:18:02 - mmengine - INFO - Epoch(train) [18][2780/3757] lr: 1.000e-02 eta: 22:44:43 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.0017 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3360 loss: 2.3360 2022/06/27 22:18:07 - mmengine - INFO - Epoch(train) [18][2800/3757] lr: 1.000e-02 eta: 22:44:37 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 5.5454 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6090 loss: 2.6090 2022/06/27 22:18:13 - mmengine - INFO - Epoch(train) [18][2820/3757] lr: 1.000e-02 eta: 22:44:32 time: 0.202 data_time: 0.016 memory: 5148 grad_norm: 4.5738 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2065 loss: 2.2065 2022/06/27 22:18:18 - mmengine - INFO - Epoch(train) [18][2840/3757] lr: 1.000e-02 eta: 22:44:25 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 4.9725 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8508 loss: 1.8508 2022/06/27 22:18:23 - mmengine - INFO - Epoch(train) [18][2860/3757] lr: 1.000e-02 eta: 22:44:21 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 5.0448 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6311 loss: 1.6311 2022/06/27 22:18:28 - mmengine - INFO - Epoch(train) [18][2880/3757] lr: 1.000e-02 eta: 22:44:14 time: 0.205 data_time: 0.020 memory: 5148 grad_norm: 6.3015 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0851 loss: 2.0851 2022/06/27 22:18:33 - mmengine - INFO - Epoch(train) [18][2900/3757] lr: 1.000e-02 eta: 22:44:08 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 6.4132 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2706 loss: 2.2706 2022/06/27 22:18:39 - mmengine - INFO - Epoch(train) [18][2920/3757] lr: 1.000e-02 eta: 22:44:05 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 5.6634 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1335 loss: 2.1335 2022/06/27 22:18:44 - mmengine - INFO - Epoch(train) [18][2940/3757] lr: 1.000e-02 eta: 22:43:59 time: 0.201 data_time: 0.023 memory: 5148 grad_norm: 4.8002 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0637 loss: 2.0637 2022/06/27 22:18:50 - mmengine - INFO - Epoch(train) [18][2960/3757] lr: 1.000e-02 eta: 22:43:53 time: 0.391 data_time: 0.007 memory: 5148 grad_norm: 5.8863 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9264 loss: 1.9264 2022/06/27 22:18:55 - mmengine - INFO - Epoch(train) [18][2980/3757] lr: 1.000e-02 eta: 22:43:48 time: 0.192 data_time: 0.006 memory: 5148 grad_norm: 6.1153 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.4021 loss: 2.4021 2022/06/27 22:19:00 - mmengine - INFO - Epoch(train) [18][3000/3757] lr: 1.000e-02 eta: 22:43:43 time: 0.193 data_time: 0.013 memory: 5148 grad_norm: 5.8900 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0850 loss: 2.0850 2022/06/27 22:19:05 - mmengine - INFO - Epoch(train) [18][3020/3757] lr: 1.000e-02 eta: 22:43:37 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.4259 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0078 loss: 2.0078 2022/06/27 22:19:11 - mmengine - INFO - Epoch(train) [18][3040/3757] lr: 1.000e-02 eta: 22:43:34 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 5.7445 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4720 loss: 2.4720 2022/06/27 22:19:16 - mmengine - INFO - Epoch(train) [18][3060/3757] lr: 1.000e-02 eta: 22:43:27 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 5.5630 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2676 loss: 2.2676 2022/06/27 22:19:22 - mmengine - INFO - Epoch(train) [18][3080/3757] lr: 1.000e-02 eta: 22:43:22 time: 0.212 data_time: 0.011 memory: 5148 grad_norm: 5.4405 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3118 loss: 2.3118 2022/06/27 22:19:27 - mmengine - INFO - Epoch(train) [18][3100/3757] lr: 1.000e-02 eta: 22:43:19 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 4.7775 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6447 loss: 1.6447 2022/06/27 22:19:33 - mmengine - INFO - Epoch(train) [18][3120/3757] lr: 1.000e-02 eta: 22:43:15 time: 0.198 data_time: 0.017 memory: 5148 grad_norm: 5.7326 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3611 loss: 2.3611 2022/06/27 22:19:35 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 22:19:37 - mmengine - INFO - Epoch(train) [18][3140/3757] lr: 1.000e-02 eta: 22:43:05 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.4693 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0774 loss: 2.0774 2022/06/27 22:19:43 - mmengine - INFO - Epoch(train) [18][3160/3757] lr: 1.000e-02 eta: 22:43:02 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 5.4345 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0391 loss: 2.0391 2022/06/27 22:19:48 - mmengine - INFO - Epoch(train) [18][3180/3757] lr: 1.000e-02 eta: 22:42:55 time: 0.358 data_time: 0.006 memory: 5148 grad_norm: 5.1090 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2499 loss: 2.2499 2022/06/27 22:19:53 - mmengine - INFO - Epoch(train) [18][3200/3757] lr: 1.000e-02 eta: 22:42:51 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.6312 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1559 loss: 2.1559 2022/06/27 22:19:59 - mmengine - INFO - Epoch(train) [18][3220/3757] lr: 1.000e-02 eta: 22:42:48 time: 0.191 data_time: 0.008 memory: 5148 grad_norm: 6.0069 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4484 loss: 2.4484 2022/06/27 22:20:05 - mmengine - INFO - Epoch(train) [18][3240/3757] lr: 1.000e-02 eta: 22:42:44 time: 0.879 data_time: 0.010 memory: 5148 grad_norm: 5.7615 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3098 loss: 2.3098 2022/06/27 22:20:10 - mmengine - INFO - Epoch(train) [18][3260/3757] lr: 1.000e-02 eta: 22:42:39 time: 0.194 data_time: 0.016 memory: 5148 grad_norm: 5.5422 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7329 loss: 1.7329 2022/06/27 22:20:15 - mmengine - INFO - Epoch(train) [18][3280/3757] lr: 1.000e-02 eta: 22:42:33 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 5.7172 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1682 loss: 2.1682 2022/06/27 22:20:20 - mmengine - INFO - Epoch(train) [18][3300/3757] lr: 1.000e-02 eta: 22:42:27 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 5.9019 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0453 loss: 2.0453 2022/06/27 22:20:26 - mmengine - INFO - Epoch(train) [18][3320/3757] lr: 1.000e-02 eta: 22:42:23 time: 0.199 data_time: 0.021 memory: 5148 grad_norm: 5.7040 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7300 loss: 1.7300 2022/06/27 22:20:32 - mmengine - INFO - Epoch(train) [18][3340/3757] lr: 1.000e-02 eta: 22:42:20 time: 0.187 data_time: 0.007 memory: 5148 grad_norm: 5.8546 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9770 loss: 1.9770 2022/06/27 22:20:37 - mmengine - INFO - Epoch(train) [18][3360/3757] lr: 1.000e-02 eta: 22:42:14 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 5.7012 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4206 loss: 2.4206 2022/06/27 22:20:42 - mmengine - INFO - Epoch(train) [18][3380/3757] lr: 1.000e-02 eta: 22:42:09 time: 0.194 data_time: 0.018 memory: 5148 grad_norm: 5.2865 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0665 loss: 2.0665 2022/06/27 22:20:48 - mmengine - INFO - Epoch(train) [18][3400/3757] lr: 1.000e-02 eta: 22:42:05 time: 0.191 data_time: 0.011 memory: 5148 grad_norm: 6.8453 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1110 loss: 2.1110 2022/06/27 22:20:53 - mmengine - INFO - Epoch(train) [18][3420/3757] lr: 1.000e-02 eta: 22:41:58 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 5.8211 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5185 loss: 2.5185 2022/06/27 22:20:59 - mmengine - INFO - Epoch(train) [18][3440/3757] lr: 1.000e-02 eta: 22:41:55 time: 0.200 data_time: 0.025 memory: 5148 grad_norm: 5.5254 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2697 loss: 2.2697 2022/06/27 22:21:04 - mmengine - INFO - Epoch(train) [18][3460/3757] lr: 1.000e-02 eta: 22:41:50 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 5.0084 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4624 loss: 2.4624 2022/06/27 22:21:09 - mmengine - INFO - Epoch(train) [18][3480/3757] lr: 1.000e-02 eta: 22:41:42 time: 0.190 data_time: 0.007 memory: 5148 grad_norm: 5.9574 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0206 loss: 2.0206 2022/06/27 22:21:14 - mmengine - INFO - Epoch(train) [18][3500/3757] lr: 1.000e-02 eta: 22:41:37 time: 0.205 data_time: 0.025 memory: 5148 grad_norm: 5.6921 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0831 loss: 2.0831 2022/06/27 22:21:20 - mmengine - INFO - Epoch(train) [18][3520/3757] lr: 1.000e-02 eta: 22:41:34 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.0027 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4311 loss: 2.4311 2022/06/27 22:21:26 - mmengine - INFO - Epoch(train) [18][3540/3757] lr: 1.000e-02 eta: 22:41:31 time: 0.189 data_time: 0.006 memory: 5148 grad_norm: 5.4565 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8682 loss: 1.8682 2022/06/27 22:21:31 - mmengine - INFO - Epoch(train) [18][3560/3757] lr: 1.000e-02 eta: 22:41:25 time: 0.198 data_time: 0.026 memory: 5148 grad_norm: 5.2609 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9369 loss: 1.9369 2022/06/27 22:21:36 - mmengine - INFO - Epoch(train) [18][3580/3757] lr: 1.000e-02 eta: 22:41:20 time: 0.192 data_time: 0.006 memory: 5148 grad_norm: 5.2495 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1848 loss: 2.1848 2022/06/27 22:21:42 - mmengine - INFO - Epoch(train) [18][3600/3757] lr: 1.000e-02 eta: 22:41:15 time: 0.195 data_time: 0.012 memory: 5148 grad_norm: 5.8064 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9064 loss: 2.9064 2022/06/27 22:21:46 - mmengine - INFO - Epoch(train) [18][3620/3757] lr: 1.000e-02 eta: 22:41:07 time: 0.204 data_time: 0.031 memory: 5148 grad_norm: 4.9500 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9821 loss: 1.9821 2022/06/27 22:21:52 - mmengine - INFO - Epoch(train) [18][3640/3757] lr: 1.000e-02 eta: 22:41:03 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 4.8141 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0003 loss: 2.0003 2022/06/27 22:21:57 - mmengine - INFO - Epoch(train) [18][3660/3757] lr: 1.000e-02 eta: 22:40:58 time: 0.195 data_time: 0.018 memory: 5148 grad_norm: 5.8972 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9454 loss: 1.9454 2022/06/27 22:22:03 - mmengine - INFO - Epoch(train) [18][3680/3757] lr: 1.000e-02 eta: 22:40:54 time: 0.202 data_time: 0.020 memory: 5148 grad_norm: 5.4578 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1548 loss: 2.1548 2022/06/27 22:22:07 - mmengine - INFO - Epoch(train) [18][3700/3757] lr: 1.000e-02 eta: 22:40:44 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.5324 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7464 loss: 1.7464 2022/06/27 22:22:13 - mmengine - INFO - Epoch(train) [18][3720/3757] lr: 1.000e-02 eta: 22:40:41 time: 0.196 data_time: 0.014 memory: 5148 grad_norm: 6.9835 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.9239 loss: 1.9239 2022/06/27 22:22:18 - mmengine - INFO - Epoch(train) [18][3740/3757] lr: 1.000e-02 eta: 22:40:34 time: 0.200 data_time: 0.009 memory: 5148 grad_norm: 5.6392 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1576 loss: 2.1576 2022/06/27 22:22:21 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 22:22:28 - mmengine - INFO - Epoch(val) [18][20/310] eta: 0:01:10 time: 0.209 data_time: 0.141 memory: 5148 2022/06/27 22:22:33 - mmengine - INFO - Epoch(val) [18][40/310] eta: 0:01:00 time: 0.079 data_time: 0.009 memory: 1367 2022/06/27 22:22:38 - mmengine - INFO - Epoch(val) [18][60/310] eta: 0:00:51 time: 0.091 data_time: 0.020 memory: 1367 2022/06/27 22:22:43 - mmengine - INFO - Epoch(val) [18][80/310] eta: 0:00:56 time: 0.080 data_time: 0.009 memory: 1367 2022/06/27 22:22:49 - mmengine - INFO - Epoch(val) [18][100/310] eta: 0:00:46 time: 0.086 data_time: 0.009 memory: 1367 2022/06/27 22:22:53 - mmengine - INFO - Epoch(val) [18][120/310] eta: 0:00:40 time: 0.087 data_time: 0.009 memory: 1367 2022/06/27 22:22:59 - mmengine - INFO - Epoch(val) [18][140/310] eta: 0:00:50 time: 0.905 data_time: 0.835 memory: 1367 2022/06/27 22:23:04 - mmengine - INFO - Epoch(val) [18][160/310] eta: 0:00:33 time: 0.099 data_time: 0.027 memory: 1367 2022/06/27 22:23:10 - mmengine - INFO - Epoch(val) [18][180/310] eta: 0:00:48 time: 1.384 data_time: 1.312 memory: 1367 2022/06/27 22:23:15 - mmengine - INFO - Epoch(val) [18][200/310] eta: 0:00:25 time: 0.084 data_time: 0.008 memory: 1367 2022/06/27 22:23:20 - mmengine - INFO - Epoch(val) [18][220/310] eta: 0:00:31 time: 0.366 data_time: 0.289 memory: 1367 2022/06/27 22:23:25 - mmengine - INFO - Epoch(val) [18][240/310] eta: 0:00:14 time: 0.085 data_time: 0.005 memory: 1367 2022/06/27 22:23:31 - mmengine - INFO - Epoch(val) [18][260/310] eta: 0:00:17 time: 0.081 data_time: 0.005 memory: 1367 2022/06/27 22:23:35 - mmengine - INFO - Epoch(val) [18][280/310] eta: 0:00:07 time: 0.080 data_time: 0.009 memory: 1367 2022/06/27 22:23:41 - mmengine - INFO - Epoch(val) [18][300/310] eta: 0:00:03 time: 0.075 data_time: 0.004 memory: 1367 2022/06/27 22:23:44 - mmengine - INFO - Epoch(val) [18][310/310] acc/top1: 0.5297 acc/top5: 0.7786 acc/mean1: 0.5295 2022/06/27 22:23:53 - mmengine - INFO - Epoch(train) [19][20/3757] lr: 1.000e-02 eta: 22:40:28 time: 0.193 data_time: 0.006 memory: 5148 grad_norm: 6.1326 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5177 loss: 2.5177 2022/06/27 22:23:59 - mmengine - INFO - Epoch(train) [19][40/3757] lr: 1.000e-02 eta: 22:40:25 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.0383 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0141 loss: 2.0141 2022/06/27 22:24:04 - mmengine - INFO - Epoch(train) [19][60/3757] lr: 1.000e-02 eta: 22:40:18 time: 0.197 data_time: 0.009 memory: 5148 grad_norm: 6.3568 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0482 loss: 2.0482 2022/06/27 22:24:09 - mmengine - INFO - Epoch(train) [19][80/3757] lr: 1.000e-02 eta: 22:40:14 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.3279 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9768 loss: 1.9768 2022/06/27 22:24:15 - mmengine - INFO - Epoch(train) [19][100/3757] lr: 1.000e-02 eta: 22:40:11 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.2847 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1299 loss: 2.1299 2022/06/27 22:24:20 - mmengine - INFO - Epoch(train) [19][120/3757] lr: 1.000e-02 eta: 22:40:03 time: 0.284 data_time: 0.007 memory: 5148 grad_norm: 5.1956 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6068 loss: 2.6068 2022/06/27 22:24:25 - mmengine - INFO - Epoch(train) [19][140/3757] lr: 1.000e-02 eta: 22:39:59 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.3648 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1598 loss: 2.1598 2022/06/27 22:24:31 - mmengine - INFO - Epoch(train) [19][160/3757] lr: 1.000e-02 eta: 22:39:57 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 5.5684 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9575 loss: 1.9575 2022/06/27 22:24:36 - mmengine - INFO - Epoch(train) [19][180/3757] lr: 1.000e-02 eta: 22:39:49 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 5.1783 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8683 loss: 1.8683 2022/06/27 22:24:42 - mmengine - INFO - Epoch(train) [19][200/3757] lr: 1.000e-02 eta: 22:39:48 time: 0.195 data_time: 0.009 memory: 5148 grad_norm: 6.6461 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1314 loss: 2.1314 2022/06/27 22:24:47 - mmengine - INFO - Epoch(train) [19][220/3757] lr: 1.000e-02 eta: 22:39:39 time: 0.210 data_time: 0.006 memory: 5148 grad_norm: 4.5924 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6241 loss: 1.6241 2022/06/27 22:24:52 - mmengine - INFO - Epoch(train) [19][240/3757] lr: 1.000e-02 eta: 22:39:32 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 6.2274 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8589 loss: 1.8589 2022/06/27 22:24:57 - mmengine - INFO - Epoch(train) [19][260/3757] lr: 1.000e-02 eta: 22:39:27 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 4.6935 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1251 loss: 2.1251 2022/06/27 22:25:03 - mmengine - INFO - Epoch(train) [19][280/3757] lr: 1.000e-02 eta: 22:39:24 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 6.3176 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9979 loss: 1.9979 2022/06/27 22:25:08 - mmengine - INFO - Epoch(train) [19][300/3757] lr: 1.000e-02 eta: 22:39:16 time: 0.198 data_time: 0.014 memory: 5148 grad_norm: 5.3691 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0647 loss: 2.0647 2022/06/27 22:25:13 - mmengine - INFO - Epoch(train) [19][320/3757] lr: 1.000e-02 eta: 22:39:13 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.2954 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1497 loss: 2.1497 2022/06/27 22:25:19 - mmengine - INFO - Epoch(train) [19][340/3757] lr: 1.000e-02 eta: 22:39:08 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 5.2656 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3200 loss: 2.3200 2022/06/27 22:25:24 - mmengine - INFO - Epoch(train) [19][360/3757] lr: 1.000e-02 eta: 22:39:01 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.2834 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.3757 loss: 2.3757 2022/06/27 22:25:28 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 22:25:29 - mmengine - INFO - Epoch(train) [19][380/3757] lr: 1.000e-02 eta: 22:38:56 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 4.7457 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1028 loss: 2.1028 2022/06/27 22:25:35 - mmengine - INFO - Epoch(train) [19][400/3757] lr: 1.000e-02 eta: 22:38:53 time: 0.196 data_time: 0.006 memory: 5148 grad_norm: 5.5247 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1737 loss: 2.1737 2022/06/27 22:25:40 - mmengine - INFO - Epoch(train) [19][420/3757] lr: 1.000e-02 eta: 22:38:48 time: 0.498 data_time: 0.007 memory: 5148 grad_norm: 5.5285 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2075 loss: 2.2075 2022/06/27 22:25:45 - mmengine - INFO - Epoch(train) [19][440/3757] lr: 1.000e-02 eta: 22:38:41 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.3977 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9643 loss: 1.9643 2022/06/27 22:25:51 - mmengine - INFO - Epoch(train) [19][460/3757] lr: 1.000e-02 eta: 22:38:37 time: 0.196 data_time: 0.006 memory: 5148 grad_norm: 5.6750 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1318 loss: 2.1318 2022/06/27 22:25:56 - mmengine - INFO - Epoch(train) [19][480/3757] lr: 1.000e-02 eta: 22:38:31 time: 0.207 data_time: 0.009 memory: 5148 grad_norm: 6.2240 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4928 loss: 2.4928 2022/06/27 22:26:02 - mmengine - INFO - Epoch(train) [19][500/3757] lr: 1.000e-02 eta: 22:38:27 time: 0.197 data_time: 0.016 memory: 5148 grad_norm: 5.3178 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0039 loss: 2.0039 2022/06/27 22:26:07 - mmengine - INFO - Epoch(train) [19][520/3757] lr: 1.000e-02 eta: 22:38:23 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 5.3454 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0261 loss: 2.0261 2022/06/27 22:26:12 - mmengine - INFO - Epoch(train) [19][540/3757] lr: 1.000e-02 eta: 22:38:16 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 5.2217 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2665 loss: 2.2665 2022/06/27 22:26:18 - mmengine - INFO - Epoch(train) [19][560/3757] lr: 1.000e-02 eta: 22:38:12 time: 0.209 data_time: 0.012 memory: 5148 grad_norm: 5.4753 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8951 loss: 1.8951 2022/06/27 22:26:23 - mmengine - INFO - Epoch(train) [19][580/3757] lr: 1.000e-02 eta: 22:38:08 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 5.6436 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1426 loss: 2.1426 2022/06/27 22:26:28 - mmengine - INFO - Epoch(train) [19][600/3757] lr: 1.000e-02 eta: 22:37:59 time: 0.193 data_time: 0.011 memory: 5148 grad_norm: 4.8234 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6065 loss: 2.6065 2022/06/27 22:26:34 - mmengine - INFO - Epoch(train) [19][620/3757] lr: 1.000e-02 eta: 22:37:56 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 4.9872 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2489 loss: 2.2489 2022/06/27 22:26:40 - mmengine - INFO - Epoch(train) [19][640/3757] lr: 1.000e-02 eta: 22:37:54 time: 0.212 data_time: 0.006 memory: 5148 grad_norm: 5.4902 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2229 loss: 2.2229 2022/06/27 22:26:44 - mmengine - INFO - Epoch(train) [19][660/3757] lr: 1.000e-02 eta: 22:37:45 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.0614 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5963 loss: 2.5963 2022/06/27 22:26:50 - mmengine - INFO - Epoch(train) [19][680/3757] lr: 1.000e-02 eta: 22:37:41 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 5.0712 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1359 loss: 2.1359 2022/06/27 22:26:55 - mmengine - INFO - Epoch(train) [19][700/3757] lr: 1.000e-02 eta: 22:37:36 time: 0.196 data_time: 0.006 memory: 5148 grad_norm: 5.7564 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2358 loss: 2.2358 2022/06/27 22:27:00 - mmengine - INFO - Epoch(train) [19][720/3757] lr: 1.000e-02 eta: 22:37:30 time: 0.371 data_time: 0.010 memory: 5148 grad_norm: 5.5371 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0100 loss: 2.0100 2022/06/27 22:27:06 - mmengine - INFO - Epoch(train) [19][740/3757] lr: 1.000e-02 eta: 22:37:24 time: 0.199 data_time: 0.015 memory: 5148 grad_norm: 6.2399 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1670 loss: 2.1670 2022/06/27 22:27:11 - mmengine - INFO - Epoch(train) [19][760/3757] lr: 1.000e-02 eta: 22:37:21 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 5.9984 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0573 loss: 2.0573 2022/06/27 22:27:16 - mmengine - INFO - Epoch(train) [19][780/3757] lr: 1.000e-02 eta: 22:37:14 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 5.7860 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0631 loss: 2.0631 2022/06/27 22:27:22 - mmengine - INFO - Epoch(train) [19][800/3757] lr: 1.000e-02 eta: 22:37:12 time: 0.203 data_time: 0.015 memory: 5148 grad_norm: 4.8813 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1295 loss: 2.1295 2022/06/27 22:27:27 - mmengine - INFO - Epoch(train) [19][820/3757] lr: 1.000e-02 eta: 22:37:02 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.2504 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9066 loss: 1.9066 2022/06/27 22:27:32 - mmengine - INFO - Epoch(train) [19][840/3757] lr: 1.000e-02 eta: 22:36:55 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 5.0397 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1458 loss: 2.1458 2022/06/27 22:27:37 - mmengine - INFO - Epoch(train) [19][860/3757] lr: 1.000e-02 eta: 22:36:51 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 4.8870 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6327 loss: 2.6327 2022/06/27 22:27:42 - mmengine - INFO - Epoch(train) [19][880/3757] lr: 1.000e-02 eta: 22:36:46 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.8332 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2621 loss: 2.2621 2022/06/27 22:27:48 - mmengine - INFO - Epoch(train) [19][900/3757] lr: 1.000e-02 eta: 22:36:40 time: 0.338 data_time: 0.006 memory: 5148 grad_norm: 5.5274 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2344 loss: 2.2344 2022/06/27 22:27:53 - mmengine - INFO - Epoch(train) [19][920/3757] lr: 1.000e-02 eta: 22:36:37 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 5.6022 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7763 loss: 1.7763 2022/06/27 22:27:59 - mmengine - INFO - Epoch(train) [19][940/3757] lr: 1.000e-02 eta: 22:36:32 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 5.7090 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2574 loss: 2.2574 2022/06/27 22:28:04 - mmengine - INFO - Epoch(train) [19][960/3757] lr: 1.000e-02 eta: 22:36:26 time: 0.504 data_time: 0.006 memory: 5148 grad_norm: 4.9896 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5506 loss: 2.5506 2022/06/27 22:28:09 - mmengine - INFO - Epoch(train) [19][980/3757] lr: 1.000e-02 eta: 22:36:22 time: 0.193 data_time: 0.017 memory: 5148 grad_norm: 5.6652 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2539 loss: 2.2539 2022/06/27 22:28:15 - mmengine - INFO - Epoch(train) [19][1000/3757] lr: 1.000e-02 eta: 22:36:18 time: 0.198 data_time: 0.009 memory: 5148 grad_norm: 5.6373 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1704 loss: 2.1704 2022/06/27 22:28:21 - mmengine - INFO - Epoch(train) [19][1020/3757] lr: 1.000e-02 eta: 22:36:14 time: 0.214 data_time: 0.006 memory: 5148 grad_norm: 6.8020 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5733 loss: 2.5733 2022/06/27 22:28:26 - mmengine - INFO - Epoch(train) [19][1040/3757] lr: 1.000e-02 eta: 22:36:08 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.4881 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2102 loss: 2.2102 2022/06/27 22:28:31 - mmengine - INFO - Epoch(train) [19][1060/3757] lr: 1.000e-02 eta: 22:36:02 time: 0.193 data_time: 0.013 memory: 5148 grad_norm: 5.4389 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2323 loss: 2.2323 2022/06/27 22:28:36 - mmengine - INFO - Epoch(train) [19][1080/3757] lr: 1.000e-02 eta: 22:35:56 time: 0.201 data_time: 0.016 memory: 5148 grad_norm: 5.4738 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.0455 loss: 2.0455 2022/06/27 22:28:42 - mmengine - INFO - Epoch(train) [19][1100/3757] lr: 1.000e-02 eta: 22:35:52 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.7869 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1661 loss: 2.1661 2022/06/27 22:28:47 - mmengine - INFO - Epoch(train) [19][1120/3757] lr: 1.000e-02 eta: 22:35:46 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 5.4270 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.6303 loss: 2.6303 2022/06/27 22:28:52 - mmengine - INFO - Epoch(train) [19][1140/3757] lr: 1.000e-02 eta: 22:35:39 time: 0.384 data_time: 0.010 memory: 5148 grad_norm: 6.0485 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3727 loss: 2.3727 2022/06/27 22:28:57 - mmengine - INFO - Epoch(train) [19][1160/3757] lr: 1.000e-02 eta: 22:35:35 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.4171 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0067 loss: 2.0067 2022/06/27 22:29:03 - mmengine - INFO - Epoch(train) [19][1180/3757] lr: 1.000e-02 eta: 22:35:31 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 5.1176 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1727 loss: 2.1727 2022/06/27 22:29:08 - mmengine - INFO - Epoch(train) [19][1200/3757] lr: 1.000e-02 eta: 22:35:24 time: 0.198 data_time: 0.009 memory: 5148 grad_norm: 5.4894 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7947 loss: 1.7947 2022/06/27 22:29:13 - mmengine - INFO - Epoch(train) [19][1220/3757] lr: 1.000e-02 eta: 22:35:17 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 5.7593 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1145 loss: 2.1145 2022/06/27 22:29:18 - mmengine - INFO - Epoch(train) [19][1240/3757] lr: 1.000e-02 eta: 22:35:13 time: 0.198 data_time: 0.013 memory: 5148 grad_norm: 5.8187 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7424 loss: 1.7424 2022/06/27 22:29:24 - mmengine - INFO - Epoch(train) [19][1260/3757] lr: 1.000e-02 eta: 22:35:10 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 5.6854 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.2104 loss: 2.2104 2022/06/27 22:29:29 - mmengine - INFO - Epoch(train) [19][1280/3757] lr: 1.000e-02 eta: 22:35:00 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 5.5720 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0876 loss: 2.0876 2022/06/27 22:29:34 - mmengine - INFO - Epoch(train) [19][1300/3757] lr: 1.000e-02 eta: 22:34:57 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.0759 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9600 loss: 1.9600 2022/06/27 22:29:40 - mmengine - INFO - Epoch(train) [19][1320/3757] lr: 1.000e-02 eta: 22:34:53 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.3372 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7516 loss: 2.7516 2022/06/27 22:29:44 - mmengine - INFO - Epoch(train) [19][1340/3757] lr: 1.000e-02 eta: 22:34:44 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 5.8665 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9288 loss: 1.9288 2022/06/27 22:29:50 - mmengine - INFO - Epoch(train) [19][1360/3757] lr: 1.000e-02 eta: 22:34:40 time: 0.200 data_time: 0.016 memory: 5148 grad_norm: 5.2513 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3141 loss: 2.3141 2022/06/27 22:29:53 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 22:29:56 - mmengine - INFO - Epoch(train) [19][1380/3757] lr: 1.000e-02 eta: 22:34:38 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.6352 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2612 loss: 2.2612 2022/06/27 22:30:01 - mmengine - INFO - Epoch(train) [19][1400/3757] lr: 1.000e-02 eta: 22:34:32 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 5.4442 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3533 loss: 2.3533 2022/06/27 22:30:06 - mmengine - INFO - Epoch(train) [19][1420/3757] lr: 1.000e-02 eta: 22:34:27 time: 0.193 data_time: 0.006 memory: 5148 grad_norm: 5.8746 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3111 loss: 2.3111 2022/06/27 22:30:12 - mmengine - INFO - Epoch(train) [19][1440/3757] lr: 1.000e-02 eta: 22:34:24 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 5.6137 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6785 loss: 2.6785 2022/06/27 22:30:18 - mmengine - INFO - Epoch(train) [19][1460/3757] lr: 1.000e-02 eta: 22:34:20 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 5.2382 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4944 loss: 2.4944 2022/06/27 22:30:23 - mmengine - INFO - Epoch(train) [19][1480/3757] lr: 1.000e-02 eta: 22:34:14 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 5.5066 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4357 loss: 2.4357 2022/06/27 22:30:29 - mmengine - INFO - Epoch(train) [19][1500/3757] lr: 1.000e-02 eta: 22:34:09 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 5.9762 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4916 loss: 2.4916 2022/06/27 22:30:34 - mmengine - INFO - Epoch(train) [19][1520/3757] lr: 1.000e-02 eta: 22:34:04 time: 0.198 data_time: 0.009 memory: 5148 grad_norm: 4.8369 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9291 loss: 1.9291 2022/06/27 22:30:40 - mmengine - INFO - Epoch(train) [19][1540/3757] lr: 1.000e-02 eta: 22:34:01 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 5.3375 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1195 loss: 2.1195 2022/06/27 22:30:45 - mmengine - INFO - Epoch(train) [19][1560/3757] lr: 1.000e-02 eta: 22:33:55 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 5.7585 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2257 loss: 2.2257 2022/06/27 22:30:50 - mmengine - INFO - Epoch(train) [19][1580/3757] lr: 1.000e-02 eta: 22:33:49 time: 0.226 data_time: 0.009 memory: 5148 grad_norm: 5.5335 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7025 loss: 2.7025 2022/06/27 22:30:55 - mmengine - INFO - Epoch(train) [19][1600/3757] lr: 1.000e-02 eta: 22:33:43 time: 0.193 data_time: 0.009 memory: 5148 grad_norm: 5.9141 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9911 loss: 1.9911 2022/06/27 22:31:01 - mmengine - INFO - Epoch(train) [19][1620/3757] lr: 1.000e-02 eta: 22:33:39 time: 0.467 data_time: 0.006 memory: 5148 grad_norm: 5.4920 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8991 loss: 1.8991 2022/06/27 22:31:06 - mmengine - INFO - Epoch(train) [19][1640/3757] lr: 1.000e-02 eta: 22:33:32 time: 0.213 data_time: 0.013 memory: 5148 grad_norm: 4.8198 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6524 loss: 2.6524 2022/06/27 22:31:10 - mmengine - INFO - Epoch(train) [19][1660/3757] lr: 1.000e-02 eta: 22:33:24 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 4.9990 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2742 loss: 2.2742 2022/06/27 22:31:16 - mmengine - INFO - Epoch(train) [19][1680/3757] lr: 1.000e-02 eta: 22:33:20 time: 0.188 data_time: 0.007 memory: 5148 grad_norm: 5.1484 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4511 loss: 2.4511 2022/06/27 22:31:21 - mmengine - INFO - Epoch(train) [19][1700/3757] lr: 1.000e-02 eta: 22:33:15 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 4.7752 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1368 loss: 2.1368 2022/06/27 22:31:26 - mmengine - INFO - Epoch(train) [19][1720/3757] lr: 1.000e-02 eta: 22:33:09 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.8456 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4693 loss: 2.4693 2022/06/27 22:31:32 - mmengine - INFO - Epoch(train) [19][1740/3757] lr: 1.000e-02 eta: 22:33:03 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 5.4684 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.1210 loss: 2.1210 2022/06/27 22:31:37 - mmengine - INFO - Epoch(train) [19][1760/3757] lr: 1.000e-02 eta: 22:32:59 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 5.1093 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3186 loss: 2.3186 2022/06/27 22:31:42 - mmengine - INFO - Epoch(train) [19][1780/3757] lr: 1.000e-02 eta: 22:32:53 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.1135 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5988 loss: 1.5988 2022/06/27 22:31:47 - mmengine - INFO - Epoch(train) [19][1800/3757] lr: 1.000e-02 eta: 22:32:47 time: 0.189 data_time: 0.010 memory: 5148 grad_norm: 4.9002 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0904 loss: 2.0904 2022/06/27 22:31:53 - mmengine - INFO - Epoch(train) [19][1820/3757] lr: 1.000e-02 eta: 22:32:44 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.8296 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7332 loss: 1.7332 2022/06/27 22:31:58 - mmengine - INFO - Epoch(train) [19][1840/3757] lr: 1.000e-02 eta: 22:32:37 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 5.5391 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0191 loss: 2.0191 2022/06/27 22:32:03 - mmengine - INFO - Epoch(train) [19][1860/3757] lr: 1.000e-02 eta: 22:32:31 time: 0.201 data_time: 0.023 memory: 5148 grad_norm: 5.2294 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6445 loss: 2.6445 2022/06/27 22:32:09 - mmengine - INFO - Epoch(train) [19][1880/3757] lr: 1.000e-02 eta: 22:32:26 time: 0.205 data_time: 0.009 memory: 5148 grad_norm: 5.7260 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7184 loss: 1.7184 2022/06/27 22:32:14 - mmengine - INFO - Epoch(train) [19][1900/3757] lr: 1.000e-02 eta: 22:32:20 time: 0.196 data_time: 0.013 memory: 5148 grad_norm: 6.1613 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0945 loss: 2.0945 2022/06/27 22:32:19 - mmengine - INFO - Epoch(train) [19][1920/3757] lr: 1.000e-02 eta: 22:32:14 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 5.3964 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1501 loss: 2.1501 2022/06/27 22:32:24 - mmengine - INFO - Epoch(train) [19][1940/3757] lr: 1.000e-02 eta: 22:32:09 time: 0.202 data_time: 0.013 memory: 5148 grad_norm: 5.8486 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5229 loss: 2.5229 2022/06/27 22:32:30 - mmengine - INFO - Epoch(train) [19][1960/3757] lr: 1.000e-02 eta: 22:32:04 time: 0.213 data_time: 0.010 memory: 5148 grad_norm: 5.7917 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9749 loss: 1.9749 2022/06/27 22:32:35 - mmengine - INFO - Epoch(train) [19][1980/3757] lr: 1.000e-02 eta: 22:31:58 time: 0.566 data_time: 0.007 memory: 5148 grad_norm: 5.6668 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1052 loss: 2.1052 2022/06/27 22:32:40 - mmengine - INFO - Epoch(train) [19][2000/3757] lr: 1.000e-02 eta: 22:31:51 time: 0.196 data_time: 0.015 memory: 5148 grad_norm: 6.4682 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2880 loss: 2.2880 2022/06/27 22:32:46 - mmengine - INFO - Epoch(train) [19][2020/3757] lr: 1.000e-02 eta: 22:31:47 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 5.2745 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4571 loss: 2.4571 2022/06/27 22:32:51 - mmengine - INFO - Epoch(train) [19][2040/3757] lr: 1.000e-02 eta: 22:31:41 time: 0.454 data_time: 0.008 memory: 5148 grad_norm: 4.8994 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3443 loss: 2.3443 2022/06/27 22:32:56 - mmengine - INFO - Epoch(train) [19][2060/3757] lr: 1.000e-02 eta: 22:31:35 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 5.9737 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0200 loss: 2.0200 2022/06/27 22:33:02 - mmengine - INFO - Epoch(train) [19][2080/3757] lr: 1.000e-02 eta: 22:31:34 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.6043 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4644 loss: 2.4644 2022/06/27 22:33:06 - mmengine - INFO - Epoch(train) [19][2100/3757] lr: 1.000e-02 eta: 22:31:24 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.9798 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2715 loss: 2.2715 2022/06/27 22:33:12 - mmengine - INFO - Epoch(train) [19][2120/3757] lr: 1.000e-02 eta: 22:31:20 time: 0.193 data_time: 0.011 memory: 5148 grad_norm: 5.7247 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4858 loss: 2.4858 2022/06/27 22:33:18 - mmengine - INFO - Epoch(train) [19][2140/3757] lr: 1.000e-02 eta: 22:31:16 time: 0.198 data_time: 0.019 memory: 5148 grad_norm: 6.3242 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4165 loss: 2.4165 2022/06/27 22:33:22 - mmengine - INFO - Epoch(train) [19][2160/3757] lr: 1.000e-02 eta: 22:31:08 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 4.8431 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3057 loss: 2.3057 2022/06/27 22:33:28 - mmengine - INFO - Epoch(train) [19][2180/3757] lr: 1.000e-02 eta: 22:31:03 time: 0.202 data_time: 0.009 memory: 5148 grad_norm: 5.6194 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8661 loss: 1.8661 2022/06/27 22:33:33 - mmengine - INFO - Epoch(train) [19][2200/3757] lr: 1.000e-02 eta: 22:30:58 time: 0.190 data_time: 0.010 memory: 5148 grad_norm: 5.2582 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4450 loss: 2.4450 2022/06/27 22:33:38 - mmengine - INFO - Epoch(train) [19][2220/3757] lr: 1.000e-02 eta: 22:30:51 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 5.0557 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1609 loss: 2.1609 2022/06/27 22:33:44 - mmengine - INFO - Epoch(train) [19][2240/3757] lr: 1.000e-02 eta: 22:30:47 time: 0.202 data_time: 0.014 memory: 5148 grad_norm: 5.3425 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4248 loss: 2.4248 2022/06/27 22:33:49 - mmengine - INFO - Epoch(train) [19][2260/3757] lr: 1.000e-02 eta: 22:30:42 time: 0.190 data_time: 0.010 memory: 5148 grad_norm: 5.7923 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3179 loss: 2.3179 2022/06/27 22:33:54 - mmengine - INFO - Epoch(train) [19][2280/3757] lr: 1.000e-02 eta: 22:30:36 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 4.7381 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0656 loss: 2.0656 2022/06/27 22:34:00 - mmengine - INFO - Epoch(train) [19][2300/3757] lr: 1.000e-02 eta: 22:30:33 time: 0.209 data_time: 0.010 memory: 5148 grad_norm: 5.8344 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4208 loss: 2.4208 2022/06/27 22:34:05 - mmengine - INFO - Epoch(train) [19][2320/3757] lr: 1.000e-02 eta: 22:30:28 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 5.8664 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0984 loss: 2.0984 2022/06/27 22:34:10 - mmengine - INFO - Epoch(train) [19][2340/3757] lr: 1.000e-02 eta: 22:30:19 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 5.9129 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8962 loss: 1.8962 2022/06/27 22:34:15 - mmengine - INFO - Epoch(train) [19][2360/3757] lr: 1.000e-02 eta: 22:30:13 time: 0.191 data_time: 0.006 memory: 5148 grad_norm: 5.2352 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3989 loss: 2.3989 2022/06/27 22:34:18 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 22:34:20 - mmengine - INFO - Epoch(train) [19][2380/3757] lr: 1.000e-02 eta: 22:30:08 time: 0.195 data_time: 0.012 memory: 5148 grad_norm: 5.1845 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4655 loss: 2.4655 2022/06/27 22:34:25 - mmengine - INFO - Epoch(train) [19][2400/3757] lr: 1.000e-02 eta: 22:30:00 time: 0.198 data_time: 0.020 memory: 5148 grad_norm: 5.1393 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0615 loss: 2.0615 2022/06/27 22:34:30 - mmengine - INFO - Epoch(train) [19][2420/3757] lr: 1.000e-02 eta: 22:29:55 time: 0.207 data_time: 0.006 memory: 5148 grad_norm: 5.5005 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1564 loss: 2.1564 2022/06/27 22:34:35 - mmengine - INFO - Epoch(train) [19][2440/3757] lr: 1.000e-02 eta: 22:29:49 time: 0.197 data_time: 0.016 memory: 5148 grad_norm: 5.4159 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9909 loss: 1.9909 2022/06/27 22:34:40 - mmengine - INFO - Epoch(train) [19][2460/3757] lr: 1.000e-02 eta: 22:29:43 time: 0.260 data_time: 0.006 memory: 5148 grad_norm: 4.6374 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7161 loss: 1.7161 2022/06/27 22:34:46 - mmengine - INFO - Epoch(train) [19][2480/3757] lr: 1.000e-02 eta: 22:29:37 time: 0.282 data_time: 0.006 memory: 5148 grad_norm: 5.2912 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1428 loss: 2.1428 2022/06/27 22:34:51 - mmengine - INFO - Epoch(train) [19][2500/3757] lr: 1.000e-02 eta: 22:29:32 time: 0.207 data_time: 0.032 memory: 5148 grad_norm: 5.2110 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5330 loss: 2.5330 2022/06/27 22:34:56 - mmengine - INFO - Epoch(train) [19][2520/3757] lr: 1.000e-02 eta: 22:29:26 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 4.9970 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4271 loss: 2.4271 2022/06/27 22:35:02 - mmengine - INFO - Epoch(train) [19][2540/3757] lr: 1.000e-02 eta: 22:29:22 time: 0.206 data_time: 0.005 memory: 5148 grad_norm: 4.7584 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0883 loss: 2.0883 2022/06/27 22:35:07 - mmengine - INFO - Epoch(train) [19][2560/3757] lr: 1.000e-02 eta: 22:29:15 time: 0.198 data_time: 0.018 memory: 5148 grad_norm: 5.5242 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1481 loss: 2.1481 2022/06/27 22:35:13 - mmengine - INFO - Epoch(train) [19][2580/3757] lr: 1.000e-02 eta: 22:29:13 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 6.0520 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2633 loss: 2.2633 2022/06/27 22:35:18 - mmengine - INFO - Epoch(train) [19][2600/3757] lr: 1.000e-02 eta: 22:29:06 time: 0.212 data_time: 0.006 memory: 5148 grad_norm: 5.3837 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3999 loss: 1.3999 2022/06/27 22:35:23 - mmengine - INFO - Epoch(train) [19][2620/3757] lr: 1.000e-02 eta: 22:29:00 time: 0.295 data_time: 0.015 memory: 5148 grad_norm: 5.6700 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5329 loss: 2.5329 2022/06/27 22:35:28 - mmengine - INFO - Epoch(train) [19][2640/3757] lr: 1.000e-02 eta: 22:28:54 time: 0.190 data_time: 0.010 memory: 5148 grad_norm: 5.5101 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3925 loss: 2.3925 2022/06/27 22:35:33 - mmengine - INFO - Epoch(train) [19][2660/3757] lr: 1.000e-02 eta: 22:28:48 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 5.8374 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0347 loss: 2.0347 2022/06/27 22:35:39 - mmengine - INFO - Epoch(train) [19][2680/3757] lr: 1.000e-02 eta: 22:28:44 time: 0.249 data_time: 0.031 memory: 5148 grad_norm: 4.7945 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7961 loss: 1.7961 2022/06/27 22:35:44 - mmengine - INFO - Epoch(train) [19][2700/3757] lr: 1.000e-02 eta: 22:28:38 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 5.9920 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1073 loss: 2.1073 2022/06/27 22:35:49 - mmengine - INFO - Epoch(train) [19][2720/3757] lr: 1.000e-02 eta: 22:28:31 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 4.6535 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1856 loss: 2.1856 2022/06/27 22:35:55 - mmengine - INFO - Epoch(train) [19][2740/3757] lr: 1.000e-02 eta: 22:28:28 time: 0.201 data_time: 0.018 memory: 5148 grad_norm: 5.9134 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2553 loss: 2.2553 2022/06/27 22:35:59 - mmengine - INFO - Epoch(train) [19][2760/3757] lr: 1.000e-02 eta: 22:28:20 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 5.8039 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7920 loss: 1.7920 2022/06/27 22:36:05 - mmengine - INFO - Epoch(train) [19][2780/3757] lr: 1.000e-02 eta: 22:28:17 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 6.0495 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9415 loss: 1.9415 2022/06/27 22:36:11 - mmengine - INFO - Epoch(train) [19][2800/3757] lr: 1.000e-02 eta: 22:28:15 time: 0.701 data_time: 0.009 memory: 5148 grad_norm: 5.4016 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9870 loss: 1.9870 2022/06/27 22:36:16 - mmengine - INFO - Epoch(train) [19][2820/3757] lr: 1.000e-02 eta: 22:28:08 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 5.6529 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2832 loss: 2.2832 2022/06/27 22:36:22 - mmengine - INFO - Epoch(train) [19][2840/3757] lr: 1.000e-02 eta: 22:28:04 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 5.7303 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2768 loss: 2.2768 2022/06/27 22:36:27 - mmengine - INFO - Epoch(train) [19][2860/3757] lr: 1.000e-02 eta: 22:28:00 time: 0.627 data_time: 0.013 memory: 5148 grad_norm: 6.2136 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.1251 loss: 2.1251 2022/06/27 22:36:32 - mmengine - INFO - Epoch(train) [19][2880/3757] lr: 1.000e-02 eta: 22:27:52 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.8759 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8842 loss: 1.8842 2022/06/27 22:36:38 - mmengine - INFO - Epoch(train) [19][2900/3757] lr: 1.000e-02 eta: 22:27:48 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.4564 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0753 loss: 2.0753 2022/06/27 22:36:43 - mmengine - INFO - Epoch(train) [19][2920/3757] lr: 1.000e-02 eta: 22:27:43 time: 0.800 data_time: 0.010 memory: 5148 grad_norm: 4.5003 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8749 loss: 1.8749 2022/06/27 22:36:48 - mmengine - INFO - Epoch(train) [19][2940/3757] lr: 1.000e-02 eta: 22:27:36 time: 0.200 data_time: 0.015 memory: 5148 grad_norm: 5.6289 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0956 loss: 2.0956 2022/06/27 22:36:53 - mmengine - INFO - Epoch(train) [19][2960/3757] lr: 1.000e-02 eta: 22:27:31 time: 0.575 data_time: 0.011 memory: 5148 grad_norm: 5.5127 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9769 loss: 1.9769 2022/06/27 22:36:58 - mmengine - INFO - Epoch(train) [19][2980/3757] lr: 1.000e-02 eta: 22:27:25 time: 0.363 data_time: 0.010 memory: 5148 grad_norm: 5.2395 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0255 loss: 2.0255 2022/06/27 22:37:04 - mmengine - INFO - Epoch(train) [19][3000/3757] lr: 1.000e-02 eta: 22:27:20 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 5.6095 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1406 loss: 2.1406 2022/06/27 22:37:09 - mmengine - INFO - Epoch(train) [19][3020/3757] lr: 1.000e-02 eta: 22:27:16 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 4.7984 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6830 loss: 1.6830 2022/06/27 22:37:15 - mmengine - INFO - Epoch(train) [19][3040/3757] lr: 1.000e-02 eta: 22:27:11 time: 0.710 data_time: 0.018 memory: 5148 grad_norm: 5.0247 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5517 loss: 2.5517 2022/06/27 22:37:20 - mmengine - INFO - Epoch(train) [19][3060/3757] lr: 1.000e-02 eta: 22:27:06 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 5.2441 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4600 loss: 2.4600 2022/06/27 22:37:25 - mmengine - INFO - Epoch(train) [19][3080/3757] lr: 1.000e-02 eta: 22:27:01 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 6.0036 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0911 loss: 2.0911 2022/06/27 22:37:31 - mmengine - INFO - Epoch(train) [19][3100/3757] lr: 1.000e-02 eta: 22:26:55 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 5.1829 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1832 loss: 2.1832 2022/06/27 22:37:36 - mmengine - INFO - Epoch(train) [19][3120/3757] lr: 1.000e-02 eta: 22:26:50 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 5.7541 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1990 loss: 2.1990 2022/06/27 22:37:42 - mmengine - INFO - Epoch(train) [19][3140/3757] lr: 1.000e-02 eta: 22:26:47 time: 0.597 data_time: 0.007 memory: 5148 grad_norm: 5.7333 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0796 loss: 2.0796 2022/06/27 22:37:46 - mmengine - INFO - Epoch(train) [19][3160/3757] lr: 1.000e-02 eta: 22:26:39 time: 0.251 data_time: 0.007 memory: 5148 grad_norm: 5.5140 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2766 loss: 2.2766 2022/06/27 22:37:52 - mmengine - INFO - Epoch(train) [19][3180/3757] lr: 1.000e-02 eta: 22:26:36 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.9629 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6933 loss: 1.6933 2022/06/27 22:37:57 - mmengine - INFO - Epoch(train) [19][3200/3757] lr: 1.000e-02 eta: 22:26:29 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.3308 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0025 loss: 2.0025 2022/06/27 22:38:03 - mmengine - INFO - Epoch(train) [19][3220/3757] lr: 1.000e-02 eta: 22:26:24 time: 0.208 data_time: 0.019 memory: 5148 grad_norm: 5.2759 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3264 loss: 2.3264 2022/06/27 22:38:08 - mmengine - INFO - Epoch(train) [19][3240/3757] lr: 1.000e-02 eta: 22:26:20 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 5.9475 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7601 loss: 2.7601 2022/06/27 22:38:13 - mmengine - INFO - Epoch(train) [19][3260/3757] lr: 1.000e-02 eta: 22:26:13 time: 0.198 data_time: 0.018 memory: 5148 grad_norm: 4.9579 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2706 loss: 2.2706 2022/06/27 22:38:19 - mmengine - INFO - Epoch(train) [19][3280/3757] lr: 1.000e-02 eta: 22:26:11 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 5.5404 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8863 loss: 1.8863 2022/06/27 22:38:24 - mmengine - INFO - Epoch(train) [19][3300/3757] lr: 1.000e-02 eta: 22:26:03 time: 0.207 data_time: 0.013 memory: 5148 grad_norm: 5.2268 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7962 loss: 1.7962 2022/06/27 22:38:29 - mmengine - INFO - Epoch(train) [19][3320/3757] lr: 1.000e-02 eta: 22:25:58 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.4828 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3082 loss: 2.3082 2022/06/27 22:38:35 - mmengine - INFO - Epoch(train) [19][3340/3757] lr: 1.000e-02 eta: 22:25:55 time: 0.224 data_time: 0.044 memory: 5148 grad_norm: 5.6622 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0642 loss: 2.0642 2022/06/27 22:38:40 - mmengine - INFO - Epoch(train) [19][3360/3757] lr: 1.000e-02 eta: 22:25:48 time: 0.212 data_time: 0.010 memory: 5148 grad_norm: 5.0375 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2359 loss: 2.2359 2022/06/27 22:38:44 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 22:38:45 - mmengine - INFO - Epoch(train) [19][3380/3757] lr: 1.000e-02 eta: 22:25:43 time: 0.205 data_time: 0.013 memory: 5148 grad_norm: 6.0879 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6567 loss: 2.6567 2022/06/27 22:38:51 - mmengine - INFO - Epoch(train) [19][3400/3757] lr: 1.000e-02 eta: 22:25:38 time: 0.198 data_time: 0.013 memory: 5148 grad_norm: 5.7978 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1960 loss: 2.1960 2022/06/27 22:38:56 - mmengine - INFO - Epoch(train) [19][3420/3757] lr: 1.000e-02 eta: 22:25:31 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 6.1409 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2333 loss: 2.2333 2022/06/27 22:39:01 - mmengine - INFO - Epoch(train) [19][3440/3757] lr: 1.000e-02 eta: 22:25:27 time: 0.300 data_time: 0.006 memory: 5148 grad_norm: 5.7029 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0419 loss: 2.0419 2022/06/27 22:39:06 - mmengine - INFO - Epoch(train) [19][3460/3757] lr: 1.000e-02 eta: 22:25:21 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 4.9913 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1730 loss: 2.1730 2022/06/27 22:39:12 - mmengine - INFO - Epoch(train) [19][3480/3757] lr: 1.000e-02 eta: 22:25:16 time: 0.203 data_time: 0.013 memory: 5148 grad_norm: 5.0295 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1818 loss: 2.1818 2022/06/27 22:39:17 - mmengine - INFO - Epoch(train) [19][3500/3757] lr: 1.000e-02 eta: 22:25:10 time: 0.209 data_time: 0.006 memory: 5148 grad_norm: 5.2477 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2191 loss: 2.2191 2022/06/27 22:39:23 - mmengine - INFO - Epoch(train) [19][3520/3757] lr: 1.000e-02 eta: 22:25:07 time: 0.217 data_time: 0.016 memory: 5148 grad_norm: 5.5337 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0777 loss: 2.0777 2022/06/27 22:39:28 - mmengine - INFO - Epoch(train) [19][3540/3757] lr: 1.000e-02 eta: 22:25:00 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 5.3579 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1626 loss: 2.1626 2022/06/27 22:39:33 - mmengine - INFO - Epoch(train) [19][3560/3757] lr: 1.000e-02 eta: 22:24:54 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 5.1957 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3105 loss: 2.3105 2022/06/27 22:39:39 - mmengine - INFO - Epoch(train) [19][3580/3757] lr: 1.000e-02 eta: 22:24:51 time: 0.203 data_time: 0.013 memory: 5148 grad_norm: 5.8774 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0467 loss: 2.0467 2022/06/27 22:39:43 - mmengine - INFO - Epoch(train) [19][3600/3757] lr: 1.000e-02 eta: 22:24:43 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 4.9786 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2765 loss: 2.2765 2022/06/27 22:39:49 - mmengine - INFO - Epoch(train) [19][3620/3757] lr: 1.000e-02 eta: 22:24:37 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.0106 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9640 loss: 1.9640 2022/06/27 22:39:54 - mmengine - INFO - Epoch(train) [19][3640/3757] lr: 1.000e-02 eta: 22:24:33 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 5.8352 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4594 loss: 2.4594 2022/06/27 22:40:00 - mmengine - INFO - Epoch(train) [19][3660/3757] lr: 1.000e-02 eta: 22:24:29 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 5.5578 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8699 loss: 1.8699 2022/06/27 22:40:04 - mmengine - INFO - Epoch(train) [19][3680/3757] lr: 1.000e-02 eta: 22:24:20 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.5476 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2229 loss: 2.2229 2022/06/27 22:40:10 - mmengine - INFO - Epoch(train) [19][3700/3757] lr: 1.000e-02 eta: 22:24:16 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 5.9010 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1939 loss: 2.1939 2022/06/27 22:40:15 - mmengine - INFO - Epoch(train) [19][3720/3757] lr: 1.000e-02 eta: 22:24:11 time: 0.204 data_time: 0.009 memory: 5148 grad_norm: 5.5807 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2956 loss: 2.2956 2022/06/27 22:40:20 - mmengine - INFO - Epoch(train) [19][3740/3757] lr: 1.000e-02 eta: 22:24:03 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 5.7414 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8739 loss: 1.8739 2022/06/27 22:40:23 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 22:40:30 - mmengine - INFO - Epoch(val) [19][20/310] eta: 0:01:12 time: 0.210 data_time: 0.139 memory: 5148 2022/06/27 22:40:35 - mmengine - INFO - Epoch(val) [19][40/310] eta: 0:01:00 time: 0.076 data_time: 0.006 memory: 1367 2022/06/27 22:40:40 - mmengine - INFO - Epoch(val) [19][60/310] eta: 0:00:58 time: 0.080 data_time: 0.008 memory: 1367 2022/06/27 22:40:45 - mmengine - INFO - Epoch(val) [19][80/310] eta: 0:00:57 time: 0.086 data_time: 0.008 memory: 1367 2022/06/27 22:40:51 - mmengine - INFO - Epoch(val) [19][100/310] eta: 0:01:06 time: 0.465 data_time: 0.385 memory: 1367 2022/06/27 22:40:56 - mmengine - INFO - Epoch(val) [19][120/310] eta: 0:00:44 time: 0.189 data_time: 0.118 memory: 1367 2022/06/27 22:41:02 - mmengine - INFO - Epoch(val) [19][140/310] eta: 0:01:04 time: 0.886 data_time: 0.814 memory: 1367 2022/06/27 22:41:07 - mmengine - INFO - Epoch(val) [19][160/310] eta: 0:00:39 time: 0.785 data_time: 0.708 memory: 1367 2022/06/27 22:41:12 - mmengine - INFO - Epoch(val) [19][180/310] eta: 0:00:44 time: 0.848 data_time: 0.777 memory: 1367 2022/06/27 22:41:17 - mmengine - INFO - Epoch(val) [19][200/310] eta: 0:00:25 time: 0.089 data_time: 0.014 memory: 1367 2022/06/27 22:41:23 - mmengine - INFO - Epoch(val) [19][220/310] eta: 0:00:31 time: 0.080 data_time: 0.008 memory: 1367 2022/06/27 22:41:27 - mmengine - INFO - Epoch(val) [19][240/310] eta: 0:00:15 time: 0.089 data_time: 0.012 memory: 1367 2022/06/27 22:41:33 - mmengine - INFO - Epoch(val) [19][260/310] eta: 0:00:17 time: 0.081 data_time: 0.005 memory: 1367 2022/06/27 22:41:38 - mmengine - INFO - Epoch(val) [19][280/310] eta: 0:00:07 time: 0.082 data_time: 0.009 memory: 1367 2022/06/27 22:41:43 - mmengine - INFO - Epoch(val) [19][300/310] eta: 0:00:03 time: 0.079 data_time: 0.005 memory: 1367 2022/06/27 22:41:46 - mmengine - INFO - Epoch(val) [19][310/310] acc/top1: 0.5310 acc/top5: 0.7810 acc/mean1: 0.5310 2022/06/27 22:41:55 - mmengine - INFO - Epoch(train) [20][20/3757] lr: 1.000e-02 eta: 22:23:56 time: 0.192 data_time: 0.011 memory: 5148 grad_norm: 5.1078 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3670 loss: 2.3670 2022/06/27 22:42:01 - mmengine - INFO - Epoch(train) [20][40/3757] lr: 1.000e-02 eta: 22:23:53 time: 0.200 data_time: 0.020 memory: 5148 grad_norm: 5.3495 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2331 loss: 2.2331 2022/06/27 22:42:05 - mmengine - INFO - Epoch(train) [20][60/3757] lr: 1.000e-02 eta: 22:23:45 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.4781 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0366 loss: 2.0366 2022/06/27 22:42:11 - mmengine - INFO - Epoch(train) [20][80/3757] lr: 1.000e-02 eta: 22:23:41 time: 0.192 data_time: 0.010 memory: 5148 grad_norm: 6.2243 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5651 loss: 2.5651 2022/06/27 22:42:16 - mmengine - INFO - Epoch(train) [20][100/3757] lr: 1.000e-02 eta: 22:23:36 time: 0.212 data_time: 0.006 memory: 5148 grad_norm: 5.5036 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2124 loss: 2.2124 2022/06/27 22:42:21 - mmengine - INFO - Epoch(train) [20][120/3757] lr: 1.000e-02 eta: 22:23:29 time: 0.192 data_time: 0.011 memory: 5148 grad_norm: 5.6918 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5228 loss: 2.5228 2022/06/27 22:42:27 - mmengine - INFO - Epoch(train) [20][140/3757] lr: 1.000e-02 eta: 22:23:25 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.9830 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.0071 loss: 2.0071 2022/06/27 22:42:33 - mmengine - INFO - Epoch(train) [20][160/3757] lr: 1.000e-02 eta: 22:23:22 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 4.6489 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1218 loss: 2.1218 2022/06/27 22:42:38 - mmengine - INFO - Epoch(train) [20][180/3757] lr: 1.000e-02 eta: 22:23:16 time: 0.194 data_time: 0.006 memory: 5148 grad_norm: 5.8808 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4776 loss: 2.4776 2022/06/27 22:42:44 - mmengine - INFO - Epoch(train) [20][200/3757] lr: 1.000e-02 eta: 22:23:16 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 4.9598 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2286 loss: 2.2286 2022/06/27 22:42:48 - mmengine - INFO - Epoch(train) [20][220/3757] lr: 1.000e-02 eta: 22:23:05 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.3235 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3505 loss: 2.3505 2022/06/27 22:42:53 - mmengine - INFO - Epoch(train) [20][240/3757] lr: 1.000e-02 eta: 22:22:57 time: 0.194 data_time: 0.006 memory: 5148 grad_norm: 5.8670 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3413 loss: 2.3413 2022/06/27 22:42:59 - mmengine - INFO - Epoch(train) [20][260/3757] lr: 1.000e-02 eta: 22:22:53 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.7421 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1513 loss: 2.1513 2022/06/27 22:43:04 - mmengine - INFO - Epoch(train) [20][280/3757] lr: 1.000e-02 eta: 22:22:48 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.7201 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4248 loss: 2.4248 2022/06/27 22:43:09 - mmengine - INFO - Epoch(train) [20][300/3757] lr: 1.000e-02 eta: 22:22:41 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 5.4949 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2268 loss: 2.2268 2022/06/27 22:43:15 - mmengine - INFO - Epoch(train) [20][320/3757] lr: 1.000e-02 eta: 22:22:39 time: 0.189 data_time: 0.007 memory: 5148 grad_norm: 5.2679 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1240 loss: 2.1240 2022/06/27 22:43:20 - mmengine - INFO - Epoch(train) [20][340/3757] lr: 1.000e-02 eta: 22:22:34 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.4695 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9535 loss: 1.9535 2022/06/27 22:43:25 - mmengine - INFO - Epoch(train) [20][360/3757] lr: 1.000e-02 eta: 22:22:27 time: 0.198 data_time: 0.016 memory: 5148 grad_norm: 5.0856 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9576 loss: 1.9576 2022/06/27 22:43:31 - mmengine - INFO - Epoch(train) [20][380/3757] lr: 1.000e-02 eta: 22:22:23 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.3998 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7667 loss: 1.7667 2022/06/27 22:43:36 - mmengine - INFO - Epoch(train) [20][400/3757] lr: 1.000e-02 eta: 22:22:19 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 5.4129 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.1216 loss: 2.1216 2022/06/27 22:43:41 - mmengine - INFO - Epoch(train) [20][420/3757] lr: 1.000e-02 eta: 22:22:11 time: 0.214 data_time: 0.012 memory: 5148 grad_norm: 5.8835 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2663 loss: 2.2663 2022/06/27 22:43:46 - mmengine - INFO - Epoch(train) [20][440/3757] lr: 1.000e-02 eta: 22:22:06 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.1444 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8350 loss: 1.8350 2022/06/27 22:43:52 - mmengine - INFO - Epoch(train) [20][460/3757] lr: 1.000e-02 eta: 22:22:01 time: 0.285 data_time: 0.007 memory: 5148 grad_norm: 5.3777 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1034 loss: 2.1034 2022/06/27 22:43:56 - mmengine - INFO - Epoch(train) [20][480/3757] lr: 1.000e-02 eta: 22:21:51 time: 0.200 data_time: 0.016 memory: 5148 grad_norm: 6.1985 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8570 loss: 2.8570 2022/06/27 22:44:01 - mmengine - INFO - Epoch(train) [20][500/3757] lr: 1.000e-02 eta: 22:21:46 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 5.9750 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1524 loss: 2.1524 2022/06/27 22:44:07 - mmengine - INFO - Epoch(train) [20][520/3757] lr: 1.000e-02 eta: 22:21:42 time: 0.482 data_time: 0.010 memory: 5148 grad_norm: 5.4392 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1794 loss: 2.1794 2022/06/27 22:44:13 - mmengine - INFO - Epoch(train) [20][540/3757] lr: 1.000e-02 eta: 22:21:38 time: 0.423 data_time: 0.239 memory: 5148 grad_norm: 5.4725 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6350 loss: 2.6350 2022/06/27 22:44:18 - mmengine - INFO - Epoch(train) [20][560/3757] lr: 1.000e-02 eta: 22:21:32 time: 0.212 data_time: 0.006 memory: 5148 grad_norm: 6.3714 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0628 loss: 2.0628 2022/06/27 22:44:24 - mmengine - INFO - Epoch(train) [20][580/3757] lr: 1.000e-02 eta: 22:21:29 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 4.9464 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7473 loss: 1.7473 2022/06/27 22:44:29 - mmengine - INFO - Epoch(train) [20][600/3757] lr: 1.000e-02 eta: 22:21:22 time: 0.380 data_time: 0.200 memory: 5148 grad_norm: 5.2775 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2174 loss: 2.2174 2022/06/27 22:44:33 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 22:44:34 - mmengine - INFO - Epoch(train) [20][620/3757] lr: 1.000e-02 eta: 22:21:17 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 5.5080 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1208 loss: 2.1208 2022/06/27 22:44:40 - mmengine - INFO - Epoch(train) [20][640/3757] lr: 1.000e-02 eta: 22:21:13 time: 0.423 data_time: 0.007 memory: 5148 grad_norm: 4.8345 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0165 loss: 2.0165 2022/06/27 22:44:45 - mmengine - INFO - Epoch(train) [20][660/3757] lr: 1.000e-02 eta: 22:21:07 time: 0.196 data_time: 0.022 memory: 5148 grad_norm: 5.9243 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9771 loss: 1.9771 2022/06/27 22:44:50 - mmengine - INFO - Epoch(train) [20][680/3757] lr: 1.000e-02 eta: 22:21:03 time: 0.502 data_time: 0.007 memory: 5148 grad_norm: 4.9765 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4752 loss: 2.4752 2022/06/27 22:44:56 - mmengine - INFO - Epoch(train) [20][700/3757] lr: 1.000e-02 eta: 22:20:58 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 5.5365 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4446 loss: 2.4446 2022/06/27 22:45:01 - mmengine - INFO - Epoch(train) [20][720/3757] lr: 1.000e-02 eta: 22:20:54 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.6100 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1302 loss: 2.1302 2022/06/27 22:45:06 - mmengine - INFO - Epoch(train) [20][740/3757] lr: 1.000e-02 eta: 22:20:48 time: 0.234 data_time: 0.007 memory: 5148 grad_norm: 5.3559 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2513 loss: 2.2513 2022/06/27 22:45:12 - mmengine - INFO - Epoch(train) [20][760/3757] lr: 1.000e-02 eta: 22:20:44 time: 0.212 data_time: 0.015 memory: 5148 grad_norm: 5.8788 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1066 loss: 2.1066 2022/06/27 22:45:17 - mmengine - INFO - Epoch(train) [20][780/3757] lr: 1.000e-02 eta: 22:20:37 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 6.1722 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4873 loss: 2.4873 2022/06/27 22:45:22 - mmengine - INFO - Epoch(train) [20][800/3757] lr: 1.000e-02 eta: 22:20:33 time: 0.232 data_time: 0.009 memory: 5148 grad_norm: 5.2444 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3751 loss: 2.3751 2022/06/27 22:45:28 - mmengine - INFO - Epoch(train) [20][820/3757] lr: 1.000e-02 eta: 22:20:28 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 5.7413 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3221 loss: 2.3221 2022/06/27 22:45:33 - mmengine - INFO - Epoch(train) [20][840/3757] lr: 1.000e-02 eta: 22:20:22 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 4.6034 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8181 loss: 1.8181 2022/06/27 22:45:38 - mmengine - INFO - Epoch(train) [20][860/3757] lr: 1.000e-02 eta: 22:20:17 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 4.8937 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2080 loss: 2.2080 2022/06/27 22:45:44 - mmengine - INFO - Epoch(train) [20][880/3757] lr: 1.000e-02 eta: 22:20:13 time: 0.224 data_time: 0.006 memory: 5148 grad_norm: 5.1843 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.2182 loss: 2.2182 2022/06/27 22:45:49 - mmengine - INFO - Epoch(train) [20][900/3757] lr: 1.000e-02 eta: 22:20:06 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.9430 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3670 loss: 2.3670 2022/06/27 22:45:54 - mmengine - INFO - Epoch(train) [20][920/3757] lr: 1.000e-02 eta: 22:20:02 time: 0.215 data_time: 0.010 memory: 5148 grad_norm: 6.2822 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2717 loss: 2.2717 2022/06/27 22:46:00 - mmengine - INFO - Epoch(train) [20][940/3757] lr: 1.000e-02 eta: 22:19:59 time: 0.635 data_time: 0.007 memory: 5148 grad_norm: 5.5185 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1988 loss: 2.1988 2022/06/27 22:46:05 - mmengine - INFO - Epoch(train) [20][960/3757] lr: 1.000e-02 eta: 22:19:52 time: 0.190 data_time: 0.010 memory: 5148 grad_norm: 6.1728 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1375 loss: 2.1375 2022/06/27 22:46:11 - mmengine - INFO - Epoch(train) [20][980/3757] lr: 1.000e-02 eta: 22:19:47 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 4.8483 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0977 loss: 2.0977 2022/06/27 22:46:16 - mmengine - INFO - Epoch(train) [20][1000/3757] lr: 1.000e-02 eta: 22:19:42 time: 0.789 data_time: 0.007 memory: 5148 grad_norm: 5.7541 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0989 loss: 2.0989 2022/06/27 22:46:21 - mmengine - INFO - Epoch(train) [20][1020/3757] lr: 1.000e-02 eta: 22:19:35 time: 0.207 data_time: 0.011 memory: 5148 grad_norm: 5.8138 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0990 loss: 2.0990 2022/06/27 22:46:27 - mmengine - INFO - Epoch(train) [20][1040/3757] lr: 1.000e-02 eta: 22:19:32 time: 0.207 data_time: 0.006 memory: 5148 grad_norm: 6.2773 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1764 loss: 2.1764 2022/06/27 22:46:32 - mmengine - INFO - Epoch(train) [20][1060/3757] lr: 1.000e-02 eta: 22:19:26 time: 1.010 data_time: 0.007 memory: 5148 grad_norm: 6.1300 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3793 loss: 2.3793 2022/06/27 22:46:36 - mmengine - INFO - Epoch(train) [20][1080/3757] lr: 1.000e-02 eta: 22:19:16 time: 0.193 data_time: 0.013 memory: 5148 grad_norm: 4.8336 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.5149 loss: 2.5149 2022/06/27 22:46:42 - mmengine - INFO - Epoch(train) [20][1100/3757] lr: 1.000e-02 eta: 22:19:11 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 4.9535 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7350 loss: 1.7350 2022/06/27 22:46:47 - mmengine - INFO - Epoch(train) [20][1120/3757] lr: 1.000e-02 eta: 22:19:09 time: 0.977 data_time: 0.007 memory: 5148 grad_norm: 5.1665 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0549 loss: 2.0549 2022/06/27 22:46:52 - mmengine - INFO - Epoch(train) [20][1140/3757] lr: 1.000e-02 eta: 22:19:01 time: 0.188 data_time: 0.010 memory: 5148 grad_norm: 5.2593 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4475 loss: 2.4475 2022/06/27 22:46:58 - mmengine - INFO - Epoch(train) [20][1160/3757] lr: 1.000e-02 eta: 22:18:57 time: 0.197 data_time: 0.012 memory: 5148 grad_norm: 6.0028 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0963 loss: 2.0963 2022/06/27 22:47:03 - mmengine - INFO - Epoch(train) [20][1180/3757] lr: 1.000e-02 eta: 22:18:52 time: 0.433 data_time: 0.007 memory: 5148 grad_norm: 5.4922 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0521 loss: 2.0521 2022/06/27 22:47:08 - mmengine - INFO - Epoch(train) [20][1200/3757] lr: 1.000e-02 eta: 22:18:45 time: 0.204 data_time: 0.014 memory: 5148 grad_norm: 5.8950 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1759 loss: 2.1759 2022/06/27 22:47:13 - mmengine - INFO - Epoch(train) [20][1220/3757] lr: 1.000e-02 eta: 22:18:38 time: 0.199 data_time: 0.017 memory: 5148 grad_norm: 5.4310 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3587 loss: 2.3587 2022/06/27 22:47:19 - mmengine - INFO - Epoch(train) [20][1240/3757] lr: 1.000e-02 eta: 22:18:34 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 5.0513 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3543 loss: 2.3543 2022/06/27 22:47:24 - mmengine - INFO - Epoch(train) [20][1260/3757] lr: 1.000e-02 eta: 22:18:29 time: 0.323 data_time: 0.015 memory: 5148 grad_norm: 5.7780 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0952 loss: 2.0952 2022/06/27 22:47:30 - mmengine - INFO - Epoch(train) [20][1280/3757] lr: 1.000e-02 eta: 22:18:25 time: 0.190 data_time: 0.010 memory: 5148 grad_norm: 6.3716 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4493 loss: 2.4493 2022/06/27 22:47:35 - mmengine - INFO - Epoch(train) [20][1300/3757] lr: 1.000e-02 eta: 22:18:20 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.2954 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1491 loss: 2.1491 2022/06/27 22:47:40 - mmengine - INFO - Epoch(train) [20][1320/3757] lr: 1.000e-02 eta: 22:18:15 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 5.9173 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1938 loss: 2.1938 2022/06/27 22:47:46 - mmengine - INFO - Epoch(train) [20][1340/3757] lr: 1.000e-02 eta: 22:18:11 time: 0.191 data_time: 0.009 memory: 5148 grad_norm: 5.5604 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7424 loss: 1.7424 2022/06/27 22:47:52 - mmengine - INFO - Epoch(train) [20][1360/3757] lr: 1.000e-02 eta: 22:18:09 time: 0.190 data_time: 0.011 memory: 5148 grad_norm: 5.8098 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0005 loss: 2.0005 2022/06/27 22:47:57 - mmengine - INFO - Epoch(train) [20][1380/3757] lr: 1.000e-02 eta: 22:18:02 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 4.9770 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8076 loss: 1.8076 2022/06/27 22:48:03 - mmengine - INFO - Epoch(train) [20][1400/3757] lr: 1.000e-02 eta: 22:17:58 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 6.3734 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5678 loss: 2.5678 2022/06/27 22:48:08 - mmengine - INFO - Epoch(train) [20][1420/3757] lr: 1.000e-02 eta: 22:17:53 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.6649 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7362 loss: 1.7362 2022/06/27 22:48:13 - mmengine - INFO - Epoch(train) [20][1440/3757] lr: 1.000e-02 eta: 22:17:45 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 5.8545 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3248 loss: 2.3248 2022/06/27 22:48:18 - mmengine - INFO - Epoch(train) [20][1460/3757] lr: 1.000e-02 eta: 22:17:41 time: 0.192 data_time: 0.019 memory: 5148 grad_norm: 5.4231 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9025 loss: 1.9025 2022/06/27 22:48:24 - mmengine - INFO - Epoch(train) [20][1480/3757] lr: 1.000e-02 eta: 22:17:36 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 5.1420 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0315 loss: 2.0315 2022/06/27 22:48:29 - mmengine - INFO - Epoch(train) [20][1500/3757] lr: 1.000e-02 eta: 22:17:31 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.2364 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3741 loss: 2.3741 2022/06/27 22:48:34 - mmengine - INFO - Epoch(train) [20][1520/3757] lr: 1.000e-02 eta: 22:17:24 time: 0.193 data_time: 0.016 memory: 5148 grad_norm: 5.8883 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1900 loss: 2.1900 2022/06/27 22:48:40 - mmengine - INFO - Epoch(train) [20][1540/3757] lr: 1.000e-02 eta: 22:17:20 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 4.9493 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7826 loss: 1.7826 2022/06/27 22:48:45 - mmengine - INFO - Epoch(train) [20][1560/3757] lr: 1.000e-02 eta: 22:17:17 time: 0.201 data_time: 0.012 memory: 5148 grad_norm: 5.3768 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3535 loss: 2.3535 2022/06/27 22:48:50 - mmengine - INFO - Epoch(train) [20][1580/3757] lr: 1.000e-02 eta: 22:17:09 time: 0.204 data_time: 0.012 memory: 5148 grad_norm: 4.7912 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2247 loss: 2.2247 2022/06/27 22:48:56 - mmengine - INFO - Epoch(train) [20][1600/3757] lr: 1.000e-02 eta: 22:17:06 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 4.6464 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7413 loss: 1.7413 2022/06/27 22:49:00 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 22:49:01 - mmengine - INFO - Epoch(train) [20][1620/3757] lr: 1.000e-02 eta: 22:17:02 time: 0.197 data_time: 0.013 memory: 5148 grad_norm: 6.0437 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0783 loss: 2.0783 2022/06/27 22:49:06 - mmengine - INFO - Epoch(train) [20][1640/3757] lr: 1.000e-02 eta: 22:16:53 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.0363 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.4246 loss: 2.4246 2022/06/27 22:49:12 - mmengine - INFO - Epoch(train) [20][1660/3757] lr: 1.000e-02 eta: 22:16:50 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 4.4517 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8744 loss: 1.8744 2022/06/27 22:49:17 - mmengine - INFO - Epoch(train) [20][1680/3757] lr: 1.000e-02 eta: 22:16:46 time: 0.197 data_time: 0.015 memory: 5148 grad_norm: 5.8288 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0028 loss: 2.0028 2022/06/27 22:49:22 - mmengine - INFO - Epoch(train) [20][1700/3757] lr: 1.000e-02 eta: 22:16:38 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.5900 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9419 loss: 1.9419 2022/06/27 22:49:27 - mmengine - INFO - Epoch(train) [20][1720/3757] lr: 1.000e-02 eta: 22:16:32 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.1328 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0192 loss: 2.0192 2022/06/27 22:49:33 - mmengine - INFO - Epoch(train) [20][1740/3757] lr: 1.000e-02 eta: 22:16:29 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 5.7838 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3510 loss: 2.3510 2022/06/27 22:49:38 - mmengine - INFO - Epoch(train) [20][1760/3757] lr: 1.000e-02 eta: 22:16:21 time: 0.194 data_time: 0.006 memory: 5148 grad_norm: 5.5219 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3252 loss: 2.3252 2022/06/27 22:49:44 - mmengine - INFO - Epoch(train) [20][1780/3757] lr: 1.000e-02 eta: 22:16:21 time: 0.193 data_time: 0.008 memory: 5148 grad_norm: 5.7574 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1756 loss: 2.1756 2022/06/27 22:49:49 - mmengine - INFO - Epoch(train) [20][1800/3757] lr: 1.000e-02 eta: 22:16:13 time: 0.197 data_time: 0.009 memory: 5148 grad_norm: 5.4160 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0290 loss: 2.0290 2022/06/27 22:49:53 - mmengine - INFO - Epoch(train) [20][1820/3757] lr: 1.000e-02 eta: 22:16:04 time: 0.351 data_time: 0.007 memory: 5148 grad_norm: 5.5401 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1023 loss: 2.1023 2022/06/27 22:49:59 - mmengine - INFO - Epoch(train) [20][1840/3757] lr: 1.000e-02 eta: 22:16:00 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.6423 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1624 loss: 2.1624 2022/06/27 22:50:05 - mmengine - INFO - Epoch(train) [20][1860/3757] lr: 1.000e-02 eta: 22:15:59 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 5.5625 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0055 loss: 2.0055 2022/06/27 22:50:10 - mmengine - INFO - Epoch(train) [20][1880/3757] lr: 1.000e-02 eta: 22:15:52 time: 0.220 data_time: 0.007 memory: 5148 grad_norm: 5.6231 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8427 loss: 1.8427 2022/06/27 22:50:16 - mmengine - INFO - Epoch(train) [20][1900/3757] lr: 1.000e-02 eta: 22:15:47 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.4774 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7613 loss: 1.7613 2022/06/27 22:50:21 - mmengine - INFO - Epoch(train) [20][1920/3757] lr: 1.000e-02 eta: 22:15:42 time: 0.448 data_time: 0.012 memory: 5148 grad_norm: 5.2418 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0554 loss: 2.0554 2022/06/27 22:50:26 - mmengine - INFO - Epoch(train) [20][1940/3757] lr: 1.000e-02 eta: 22:15:37 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 4.9438 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3915 loss: 2.3915 2022/06/27 22:50:32 - mmengine - INFO - Epoch(train) [20][1960/3757] lr: 1.000e-02 eta: 22:15:32 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.5847 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1319 loss: 2.1319 2022/06/27 22:50:37 - mmengine - INFO - Epoch(train) [20][1980/3757] lr: 1.000e-02 eta: 22:15:28 time: 0.741 data_time: 0.013 memory: 5148 grad_norm: 5.1367 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1408 loss: 2.1408 2022/06/27 22:50:43 - mmengine - INFO - Epoch(train) [20][2000/3757] lr: 1.000e-02 eta: 22:15:24 time: 0.643 data_time: 0.020 memory: 5148 grad_norm: 5.0616 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.0232 loss: 2.0232 2022/06/27 22:50:48 - mmengine - INFO - Epoch(train) [20][2020/3757] lr: 1.000e-02 eta: 22:15:17 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.8765 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4150 loss: 2.4150 2022/06/27 22:50:53 - mmengine - INFO - Epoch(train) [20][2040/3757] lr: 1.000e-02 eta: 22:15:12 time: 0.725 data_time: 0.009 memory: 5148 grad_norm: 4.8615 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1179 loss: 2.1179 2022/06/27 22:50:59 - mmengine - INFO - Epoch(train) [20][2060/3757] lr: 1.000e-02 eta: 22:15:07 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.4892 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9198 loss: 1.9198 2022/06/27 22:51:04 - mmengine - INFO - Epoch(train) [20][2080/3757] lr: 1.000e-02 eta: 22:15:02 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.4141 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2310 loss: 2.2310 2022/06/27 22:51:09 - mmengine - INFO - Epoch(train) [20][2100/3757] lr: 1.000e-02 eta: 22:14:56 time: 0.219 data_time: 0.017 memory: 5148 grad_norm: 5.9235 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8592 loss: 1.8592 2022/06/27 22:51:15 - mmengine - INFO - Epoch(train) [20][2120/3757] lr: 1.000e-02 eta: 22:14:53 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.6025 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2769 loss: 2.2769 2022/06/27 22:51:21 - mmengine - INFO - Epoch(train) [20][2140/3757] lr: 1.000e-02 eta: 22:14:49 time: 0.191 data_time: 0.010 memory: 5148 grad_norm: 5.3992 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7048 loss: 1.7048 2022/06/27 22:51:25 - mmengine - INFO - Epoch(train) [20][2160/3757] lr: 1.000e-02 eta: 22:14:41 time: 0.219 data_time: 0.006 memory: 5148 grad_norm: 5.9041 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9368 loss: 1.9368 2022/06/27 22:51:31 - mmengine - INFO - Epoch(train) [20][2180/3757] lr: 1.000e-02 eta: 22:14:37 time: 0.203 data_time: 0.013 memory: 5148 grad_norm: 5.8919 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2259 loss: 2.2259 2022/06/27 22:51:37 - mmengine - INFO - Epoch(train) [20][2200/3757] lr: 1.000e-02 eta: 22:14:33 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.7771 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2790 loss: 2.2790 2022/06/27 22:51:41 - mmengine - INFO - Epoch(train) [20][2220/3757] lr: 1.000e-02 eta: 22:14:25 time: 0.208 data_time: 0.006 memory: 5148 grad_norm: 5.3147 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4734 loss: 2.4734 2022/06/27 22:51:47 - mmengine - INFO - Epoch(train) [20][2240/3757] lr: 1.000e-02 eta: 22:14:21 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 5.3996 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4691 loss: 2.4691 2022/06/27 22:51:52 - mmengine - INFO - Epoch(train) [20][2260/3757] lr: 1.000e-02 eta: 22:14:15 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.2520 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0276 loss: 2.0276 2022/06/27 22:51:58 - mmengine - INFO - Epoch(train) [20][2280/3757] lr: 1.000e-02 eta: 22:14:12 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 5.1077 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5258 loss: 2.5258 2022/06/27 22:52:04 - mmengine - INFO - Epoch(train) [20][2300/3757] lr: 1.000e-02 eta: 22:14:11 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 5.8576 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3168 loss: 2.3168 2022/06/27 22:52:08 - mmengine - INFO - Epoch(train) [20][2320/3757] lr: 1.000e-02 eta: 22:14:00 time: 0.192 data_time: 0.006 memory: 5148 grad_norm: 6.0724 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4981 loss: 2.4981 2022/06/27 22:52:12 - mmengine - INFO - Epoch(train) [20][2340/3757] lr: 1.000e-02 eta: 22:13:50 time: 0.207 data_time: 0.013 memory: 5148 grad_norm: 5.9935 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3543 loss: 2.3543 2022/06/27 22:52:18 - mmengine - INFO - Epoch(train) [20][2360/3757] lr: 1.000e-02 eta: 22:13:46 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 5.7325 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3684 loss: 2.3684 2022/06/27 22:52:23 - mmengine - INFO - Epoch(train) [20][2380/3757] lr: 1.000e-02 eta: 22:13:40 time: 0.561 data_time: 0.006 memory: 5148 grad_norm: 6.0458 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2395 loss: 2.2395 2022/06/27 22:52:28 - mmengine - INFO - Epoch(train) [20][2400/3757] lr: 1.000e-02 eta: 22:13:34 time: 0.195 data_time: 0.006 memory: 5148 grad_norm: 5.1736 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9235 loss: 1.9235 2022/06/27 22:52:34 - mmengine - INFO - Epoch(train) [20][2420/3757] lr: 1.000e-02 eta: 22:13:30 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 5.2488 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1316 loss: 2.1316 2022/06/27 22:52:39 - mmengine - INFO - Epoch(train) [20][2440/3757] lr: 1.000e-02 eta: 22:13:24 time: 0.308 data_time: 0.007 memory: 5148 grad_norm: 5.8978 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1329 loss: 2.1329 2022/06/27 22:52:44 - mmengine - INFO - Epoch(train) [20][2460/3757] lr: 1.000e-02 eta: 22:13:18 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.1162 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.6193 loss: 2.6193 2022/06/27 22:52:50 - mmengine - INFO - Epoch(train) [20][2480/3757] lr: 1.000e-02 eta: 22:13:15 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.8922 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3637 loss: 2.3637 2022/06/27 22:52:56 - mmengine - INFO - Epoch(train) [20][2500/3757] lr: 1.000e-02 eta: 22:13:12 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 5.7214 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8077 loss: 2.8077 2022/06/27 22:53:01 - mmengine - INFO - Epoch(train) [20][2520/3757] lr: 1.000e-02 eta: 22:13:05 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 5.0642 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.9750 loss: 1.9750 2022/06/27 22:53:06 - mmengine - INFO - Epoch(train) [20][2540/3757] lr: 1.000e-02 eta: 22:13:00 time: 0.214 data_time: 0.006 memory: 5148 grad_norm: 4.8644 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0466 loss: 2.0466 2022/06/27 22:53:11 - mmengine - INFO - Epoch(train) [20][2560/3757] lr: 1.000e-02 eta: 22:12:55 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 6.1993 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2067 loss: 2.2067 2022/06/27 22:53:17 - mmengine - INFO - Epoch(train) [20][2580/3757] lr: 1.000e-02 eta: 22:12:50 time: 0.192 data_time: 0.010 memory: 5148 grad_norm: 5.3353 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9215 loss: 1.9215 2022/06/27 22:53:22 - mmengine - INFO - Epoch(train) [20][2600/3757] lr: 1.000e-02 eta: 22:12:46 time: 0.225 data_time: 0.010 memory: 5148 grad_norm: 5.1794 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1707 loss: 2.1707 2022/06/27 22:53:27 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 22:53:27 - mmengine - INFO - Epoch(train) [20][2620/3757] lr: 1.000e-02 eta: 22:12:38 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 6.2367 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3041 loss: 2.3041 2022/06/27 22:53:33 - mmengine - INFO - Epoch(train) [20][2640/3757] lr: 1.000e-02 eta: 22:12:35 time: 0.426 data_time: 0.007 memory: 5148 grad_norm: 6.0142 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1655 loss: 2.1655 2022/06/27 22:53:38 - mmengine - INFO - Epoch(train) [20][2660/3757] lr: 1.000e-02 eta: 22:12:28 time: 0.212 data_time: 0.006 memory: 5148 grad_norm: 5.2256 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0277 loss: 2.0277 2022/06/27 22:53:44 - mmengine - INFO - Epoch(train) [20][2680/3757] lr: 1.000e-02 eta: 22:12:25 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 5.2276 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9446 loss: 1.9446 2022/06/27 22:53:49 - mmengine - INFO - Epoch(train) [20][2700/3757] lr: 1.000e-02 eta: 22:12:20 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.4117 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1099 loss: 2.1099 2022/06/27 22:53:54 - mmengine - INFO - Epoch(train) [20][2720/3757] lr: 1.000e-02 eta: 22:12:13 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 5.7689 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1986 loss: 2.1986 2022/06/27 22:53:59 - mmengine - INFO - Epoch(train) [20][2740/3757] lr: 1.000e-02 eta: 22:12:08 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.4380 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3597 loss: 2.3597 2022/06/27 22:54:05 - mmengine - INFO - Epoch(train) [20][2760/3757] lr: 1.000e-02 eta: 22:12:04 time: 0.204 data_time: 0.023 memory: 5148 grad_norm: 5.3461 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8756 loss: 1.8756 2022/06/27 22:54:10 - mmengine - INFO - Epoch(train) [20][2780/3757] lr: 1.000e-02 eta: 22:11:58 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 5.8321 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3230 loss: 2.3230 2022/06/27 22:54:16 - mmengine - INFO - Epoch(train) [20][2800/3757] lr: 1.000e-02 eta: 22:11:54 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.7928 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1747 loss: 2.1747 2022/06/27 22:54:21 - mmengine - INFO - Epoch(train) [20][2820/3757] lr: 1.000e-02 eta: 22:11:48 time: 0.199 data_time: 0.025 memory: 5148 grad_norm: 5.0492 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8841 loss: 1.8841 2022/06/27 22:54:26 - mmengine - INFO - Epoch(train) [20][2840/3757] lr: 1.000e-02 eta: 22:11:41 time: 0.197 data_time: 0.016 memory: 5148 grad_norm: 5.0542 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9692 loss: 1.9692 2022/06/27 22:54:31 - mmengine - INFO - Epoch(train) [20][2860/3757] lr: 1.000e-02 eta: 22:11:36 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 6.0153 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0709 loss: 2.0709 2022/06/27 22:54:37 - mmengine - INFO - Epoch(train) [20][2880/3757] lr: 1.000e-02 eta: 22:11:32 time: 0.196 data_time: 0.015 memory: 5148 grad_norm: 4.9380 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.5673 loss: 2.5673 2022/06/27 22:54:42 - mmengine - INFO - Epoch(train) [20][2900/3757] lr: 1.000e-02 eta: 22:11:26 time: 0.193 data_time: 0.011 memory: 5148 grad_norm: 5.8640 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2177 loss: 2.2177 2022/06/27 22:54:47 - mmengine - INFO - Epoch(train) [20][2920/3757] lr: 1.000e-02 eta: 22:11:20 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.1181 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8660 loss: 1.8660 2022/06/27 22:54:52 - mmengine - INFO - Epoch(train) [20][2940/3757] lr: 1.000e-02 eta: 22:11:15 time: 0.207 data_time: 0.027 memory: 5148 grad_norm: 5.3808 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0184 loss: 2.0184 2022/06/27 22:54:58 - mmengine - INFO - Epoch(train) [20][2960/3757] lr: 1.000e-02 eta: 22:11:10 time: 0.207 data_time: 0.006 memory: 5148 grad_norm: 5.7549 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1159 loss: 2.1159 2022/06/27 22:55:04 - mmengine - INFO - Epoch(train) [20][2980/3757] lr: 1.000e-02 eta: 22:11:07 time: 0.207 data_time: 0.006 memory: 5148 grad_norm: 5.6469 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1059 loss: 2.1059 2022/06/27 22:55:09 - mmengine - INFO - Epoch(train) [20][3000/3757] lr: 1.000e-02 eta: 22:11:03 time: 0.228 data_time: 0.020 memory: 5148 grad_norm: 5.0683 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9491 loss: 1.9491 2022/06/27 22:55:14 - mmengine - INFO - Epoch(train) [20][3020/3757] lr: 1.000e-02 eta: 22:10:55 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 5.0183 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9291 loss: 1.9291 2022/06/27 22:55:19 - mmengine - INFO - Epoch(train) [20][3040/3757] lr: 1.000e-02 eta: 22:10:49 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 5.5013 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0719 loss: 2.0719 2022/06/27 22:55:25 - mmengine - INFO - Epoch(train) [20][3060/3757] lr: 1.000e-02 eta: 22:10:47 time: 0.194 data_time: 0.015 memory: 5148 grad_norm: 5.4106 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8255 loss: 1.8255 2022/06/27 22:55:30 - mmengine - INFO - Epoch(train) [20][3080/3757] lr: 1.000e-02 eta: 22:10:40 time: 0.307 data_time: 0.009 memory: 5148 grad_norm: 5.0042 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3454 loss: 2.3454 2022/06/27 22:55:36 - mmengine - INFO - Epoch(train) [20][3100/3757] lr: 1.000e-02 eta: 22:10:36 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 5.7628 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1408 loss: 2.1408 2022/06/27 22:55:42 - mmengine - INFO - Epoch(train) [20][3120/3757] lr: 1.000e-02 eta: 22:10:33 time: 0.206 data_time: 0.018 memory: 5148 grad_norm: 4.7450 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2596 loss: 2.2596 2022/06/27 22:55:46 - mmengine - INFO - Epoch(train) [20][3140/3757] lr: 1.000e-02 eta: 22:10:25 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.6737 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0111 loss: 2.0111 2022/06/27 22:55:52 - mmengine - INFO - Epoch(train) [20][3160/3757] lr: 1.000e-02 eta: 22:10:21 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.8318 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0339 loss: 2.0339 2022/06/27 22:55:57 - mmengine - INFO - Epoch(train) [20][3180/3757] lr: 1.000e-02 eta: 22:10:15 time: 0.213 data_time: 0.024 memory: 5148 grad_norm: 5.9798 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7608 loss: 1.7608 2022/06/27 22:56:02 - mmengine - INFO - Epoch(train) [20][3200/3757] lr: 1.000e-02 eta: 22:10:10 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.1688 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8621 loss: 1.8621 2022/06/27 22:56:08 - mmengine - INFO - Epoch(train) [20][3220/3757] lr: 1.000e-02 eta: 22:10:05 time: 0.202 data_time: 0.012 memory: 5148 grad_norm: 4.9465 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0310 loss: 2.0310 2022/06/27 22:56:12 - mmengine - INFO - Epoch(train) [20][3240/3757] lr: 1.000e-02 eta: 22:09:57 time: 0.270 data_time: 0.019 memory: 5148 grad_norm: 5.6160 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2540 loss: 2.2540 2022/06/27 22:56:18 - mmengine - INFO - Epoch(train) [20][3260/3757] lr: 1.000e-02 eta: 22:09:54 time: 0.214 data_time: 0.006 memory: 5148 grad_norm: 5.6046 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8550 loss: 1.8550 2022/06/27 22:56:23 - mmengine - INFO - Epoch(train) [20][3280/3757] lr: 1.000e-02 eta: 22:09:48 time: 0.202 data_time: 0.019 memory: 5148 grad_norm: 4.9043 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1721 loss: 2.1721 2022/06/27 22:56:29 - mmengine - INFO - Epoch(train) [20][3300/3757] lr: 1.000e-02 eta: 22:09:42 time: 0.440 data_time: 0.031 memory: 5148 grad_norm: 6.0147 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1843 loss: 2.1843 2022/06/27 22:56:34 - mmengine - INFO - Epoch(train) [20][3320/3757] lr: 1.000e-02 eta: 22:09:36 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 5.4860 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7953 loss: 1.7953 2022/06/27 22:56:39 - mmengine - INFO - Epoch(train) [20][3340/3757] lr: 1.000e-02 eta: 22:09:32 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 5.1482 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1813 loss: 2.1813 2022/06/27 22:56:45 - mmengine - INFO - Epoch(train) [20][3360/3757] lr: 1.000e-02 eta: 22:09:28 time: 0.706 data_time: 0.033 memory: 5148 grad_norm: 4.7257 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1101 loss: 2.1101 2022/06/27 22:56:50 - mmengine - INFO - Epoch(train) [20][3380/3757] lr: 1.000e-02 eta: 22:09:20 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 5.4926 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3332 loss: 2.3332 2022/06/27 22:56:55 - mmengine - INFO - Epoch(train) [20][3400/3757] lr: 1.000e-02 eta: 22:09:16 time: 0.198 data_time: 0.015 memory: 5148 grad_norm: 6.2620 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4971 loss: 2.4971 2022/06/27 22:57:01 - mmengine - INFO - Epoch(train) [20][3420/3757] lr: 1.000e-02 eta: 22:09:11 time: 0.217 data_time: 0.030 memory: 5148 grad_norm: 5.2239 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0686 loss: 2.0686 2022/06/27 22:57:06 - mmengine - INFO - Epoch(train) [20][3440/3757] lr: 1.000e-02 eta: 22:09:07 time: 0.193 data_time: 0.006 memory: 5148 grad_norm: 5.7366 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2594 loss: 2.2594 2022/06/27 22:57:11 - mmengine - INFO - Epoch(train) [20][3460/3757] lr: 1.000e-02 eta: 22:08:58 time: 0.192 data_time: 0.006 memory: 5148 grad_norm: 5.9333 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8485 loss: 1.8485 2022/06/27 22:57:16 - mmengine - INFO - Epoch(train) [20][3480/3757] lr: 1.000e-02 eta: 22:08:53 time: 0.202 data_time: 0.016 memory: 5148 grad_norm: 5.9988 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3988 loss: 2.3988 2022/06/27 22:57:21 - mmengine - INFO - Epoch(train) [20][3500/3757] lr: 1.000e-02 eta: 22:08:47 time: 0.190 data_time: 0.010 memory: 5148 grad_norm: 5.5804 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9751 loss: 1.9751 2022/06/27 22:57:26 - mmengine - INFO - Epoch(train) [20][3520/3757] lr: 1.000e-02 eta: 22:08:41 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.1372 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1781 loss: 2.1781 2022/06/27 22:57:32 - mmengine - INFO - Epoch(train) [20][3540/3757] lr: 1.000e-02 eta: 22:08:39 time: 0.958 data_time: 0.010 memory: 5148 grad_norm: 5.6810 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8801 loss: 1.8801 2022/06/27 22:57:37 - mmengine - INFO - Epoch(train) [20][3560/3757] lr: 1.000e-02 eta: 22:08:32 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 4.9084 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1206 loss: 2.1206 2022/06/27 22:57:43 - mmengine - INFO - Epoch(train) [20][3580/3757] lr: 1.000e-02 eta: 22:08:27 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.2683 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.7842 loss: 1.7842 2022/06/27 22:57:48 - mmengine - INFO - Epoch(train) [20][3600/3757] lr: 1.000e-02 eta: 22:08:21 time: 0.208 data_time: 0.010 memory: 5148 grad_norm: 5.1847 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3413 loss: 2.3413 2022/06/27 22:57:52 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 22:57:53 - mmengine - INFO - Epoch(train) [20][3620/3757] lr: 1.000e-02 eta: 22:08:14 time: 0.193 data_time: 0.009 memory: 5148 grad_norm: 4.5538 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8205 loss: 1.8205 2022/06/27 22:57:59 - mmengine - INFO - Epoch(train) [20][3640/3757] lr: 1.000e-02 eta: 22:08:11 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 6.7762 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0487 loss: 2.0487 2022/06/27 22:58:04 - mmengine - INFO - Epoch(train) [20][3660/3757] lr: 1.000e-02 eta: 22:08:06 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.7128 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.4561 loss: 2.4561 2022/06/27 22:58:09 - mmengine - INFO - Epoch(train) [20][3680/3757] lr: 1.000e-02 eta: 22:07:58 time: 0.192 data_time: 0.010 memory: 5148 grad_norm: 5.8501 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1943 loss: 2.1943 2022/06/27 22:58:14 - mmengine - INFO - Epoch(train) [20][3700/3757] lr: 1.000e-02 eta: 22:07:53 time: 0.223 data_time: 0.010 memory: 5148 grad_norm: 4.5779 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2222 loss: 2.2222 2022/06/27 22:58:19 - mmengine - INFO - Epoch(train) [20][3720/3757] lr: 1.000e-02 eta: 22:07:48 time: 0.807 data_time: 0.007 memory: 5148 grad_norm: 5.0676 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1319 loss: 2.1319 2022/06/27 22:58:24 - mmengine - INFO - Epoch(train) [20][3740/3757] lr: 1.000e-02 eta: 22:07:42 time: 0.210 data_time: 0.012 memory: 5148 grad_norm: 5.2891 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8433 loss: 1.8433 2022/06/27 22:58:28 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 22:58:28 - mmengine - INFO - Saving checkpoint at 20 epochs 2022/06/27 22:58:36 - mmengine - INFO - Epoch(val) [20][20/310] eta: 0:01:16 time: 0.438 data_time: 0.368 memory: 5148 2022/06/27 22:58:41 - mmengine - INFO - Epoch(val) [20][40/310] eta: 0:01:01 time: 0.083 data_time: 0.005 memory: 1367 2022/06/27 22:58:47 - mmengine - INFO - Epoch(val) [20][60/310] eta: 0:00:54 time: 0.077 data_time: 0.005 memory: 1367 2022/06/27 22:58:51 - mmengine - INFO - Epoch(val) [20][80/310] eta: 0:00:54 time: 0.086 data_time: 0.009 memory: 1367 2022/06/27 22:58:57 - mmengine - INFO - Epoch(val) [20][100/310] eta: 0:00:49 time: 0.083 data_time: 0.009 memory: 1367 2022/06/27 22:59:02 - mmengine - INFO - Epoch(val) [20][120/310] eta: 0:00:41 time: 0.092 data_time: 0.012 memory: 1367 2022/06/27 22:59:08 - mmengine - INFO - Epoch(val) [20][140/310] eta: 0:00:43 time: 0.329 data_time: 0.255 memory: 1367 2022/06/27 22:59:12 - mmengine - INFO - Epoch(val) [20][160/310] eta: 0:00:37 time: 0.335 data_time: 0.259 memory: 1367 2022/06/27 22:59:18 - mmengine - INFO - Epoch(val) [20][180/310] eta: 0:00:35 time: 0.467 data_time: 0.391 memory: 1367 2022/06/27 22:59:23 - mmengine - INFO - Epoch(val) [20][200/310] eta: 0:00:27 time: 0.112 data_time: 0.037 memory: 1367 2022/06/27 22:59:29 - mmengine - INFO - Epoch(val) [20][220/310] eta: 0:00:26 time: 0.084 data_time: 0.008 memory: 1367 2022/06/27 22:59:33 - mmengine - INFO - Epoch(val) [20][240/310] eta: 0:00:15 time: 0.076 data_time: 0.005 memory: 1367 2022/06/27 22:59:39 - mmengine - INFO - Epoch(val) [20][260/310] eta: 0:00:15 time: 0.107 data_time: 0.029 memory: 1367 2022/06/27 22:59:44 - mmengine - INFO - Epoch(val) [20][280/310] eta: 0:00:06 time: 0.082 data_time: 0.005 memory: 1367 2022/06/27 22:59:49 - mmengine - INFO - Epoch(val) [20][300/310] eta: 0:00:02 time: 0.089 data_time: 0.013 memory: 1367 2022/06/27 22:59:51 - mmengine - INFO - Epoch(val) [20][310/310] acc/top1: 0.5312 acc/top5: 0.7782 acc/mean1: 0.5310 2022/06/27 23:00:00 - mmengine - INFO - Epoch(train) [21][20/3757] lr: 1.000e-02 eta: 22:07:33 time: 0.189 data_time: 0.012 memory: 5148 grad_norm: 5.6885 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0233 loss: 2.0233 2022/06/27 23:00:06 - mmengine - INFO - Epoch(train) [21][40/3757] lr: 1.000e-02 eta: 22:07:30 time: 0.305 data_time: 0.007 memory: 5148 grad_norm: 5.8143 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9212 loss: 1.9212 2022/06/27 23:00:10 - mmengine - INFO - Epoch(train) [21][60/3757] lr: 1.000e-02 eta: 22:07:23 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.9903 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1725 loss: 2.1725 2022/06/27 23:00:16 - mmengine - INFO - Epoch(train) [21][80/3757] lr: 1.000e-02 eta: 22:07:20 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.8902 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5350 loss: 2.5350 2022/06/27 23:00:22 - mmengine - INFO - Epoch(train) [21][100/3757] lr: 1.000e-02 eta: 22:07:17 time: 0.194 data_time: 0.018 memory: 5148 grad_norm: 5.7778 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0193 loss: 2.0193 2022/06/27 23:00:27 - mmengine - INFO - Epoch(train) [21][120/3757] lr: 1.000e-02 eta: 22:07:10 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 4.5218 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8746 loss: 1.8746 2022/06/27 23:00:32 - mmengine - INFO - Epoch(train) [21][140/3757] lr: 1.000e-02 eta: 22:07:05 time: 0.205 data_time: 0.006 memory: 5148 grad_norm: 6.1358 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2756 loss: 2.2756 2022/06/27 23:00:38 - mmengine - INFO - Epoch(train) [21][160/3757] lr: 1.000e-02 eta: 22:07:02 time: 0.200 data_time: 0.012 memory: 5148 grad_norm: 5.5465 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.2625 loss: 2.2625 2022/06/27 23:00:43 - mmengine - INFO - Epoch(train) [21][180/3757] lr: 1.000e-02 eta: 22:06:53 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 5.4740 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9379 loss: 1.9379 2022/06/27 23:00:48 - mmengine - INFO - Epoch(train) [21][200/3757] lr: 1.000e-02 eta: 22:06:49 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 6.1498 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1428 loss: 2.1428 2022/06/27 23:00:54 - mmengine - INFO - Epoch(train) [21][220/3757] lr: 1.000e-02 eta: 22:06:45 time: 0.191 data_time: 0.017 memory: 5148 grad_norm: 5.7450 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2700 loss: 2.2700 2022/06/27 23:00:58 - mmengine - INFO - Epoch(train) [21][240/3757] lr: 1.000e-02 eta: 22:06:36 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 6.1900 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2759 loss: 2.2759 2022/06/27 23:01:04 - mmengine - INFO - Epoch(train) [21][260/3757] lr: 1.000e-02 eta: 22:06:33 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 5.5989 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.0754 loss: 2.0754 2022/06/27 23:01:10 - mmengine - INFO - Epoch(train) [21][280/3757] lr: 1.000e-02 eta: 22:06:29 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 5.3432 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.2196 loss: 2.2196 2022/06/27 23:01:15 - mmengine - INFO - Epoch(train) [21][300/3757] lr: 1.000e-02 eta: 22:06:24 time: 0.193 data_time: 0.008 memory: 5148 grad_norm: 5.7116 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9495 loss: 1.9495 2022/06/27 23:01:20 - mmengine - INFO - Epoch(train) [21][320/3757] lr: 1.000e-02 eta: 22:06:17 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 6.1081 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5266 loss: 2.5266 2022/06/27 23:01:26 - mmengine - INFO - Epoch(train) [21][340/3757] lr: 1.000e-02 eta: 22:06:13 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 5.9297 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2365 loss: 2.2365 2022/06/27 23:01:30 - mmengine - INFO - Epoch(train) [21][360/3757] lr: 1.000e-02 eta: 22:06:05 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 5.1246 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8566 loss: 1.8566 2022/06/27 23:01:36 - mmengine - INFO - Epoch(train) [21][380/3757] lr: 1.000e-02 eta: 22:06:01 time: 0.194 data_time: 0.006 memory: 5148 grad_norm: 5.9587 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8848 loss: 1.8848 2022/06/27 23:01:42 - mmengine - INFO - Epoch(train) [21][400/3757] lr: 1.000e-02 eta: 22:05:57 time: 0.192 data_time: 0.015 memory: 5148 grad_norm: 5.5866 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9121 loss: 1.9121 2022/06/27 23:01:47 - mmengine - INFO - Epoch(train) [21][420/3757] lr: 1.000e-02 eta: 22:05:50 time: 0.212 data_time: 0.006 memory: 5148 grad_norm: 5.0295 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7285 loss: 1.7285 2022/06/27 23:01:52 - mmengine - INFO - Epoch(train) [21][440/3757] lr: 1.000e-02 eta: 22:05:46 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 5.7267 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9817 loss: 1.9817 2022/06/27 23:01:58 - mmengine - INFO - Epoch(train) [21][460/3757] lr: 1.000e-02 eta: 22:05:42 time: 0.196 data_time: 0.014 memory: 5148 grad_norm: 5.8674 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.9791 loss: 1.9791 2022/06/27 23:02:03 - mmengine - INFO - Epoch(train) [21][480/3757] lr: 1.000e-02 eta: 22:05:35 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 4.8374 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3175 loss: 2.3175 2022/06/27 23:02:08 - mmengine - INFO - Epoch(train) [21][500/3757] lr: 1.000e-02 eta: 22:05:30 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 5.4929 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9615 loss: 1.9615 2022/06/27 23:02:14 - mmengine - INFO - Epoch(train) [21][520/3757] lr: 1.000e-02 eta: 22:05:26 time: 0.343 data_time: 0.011 memory: 5148 grad_norm: 5.5443 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0401 loss: 2.0401 2022/06/27 23:02:18 - mmengine - INFO - Epoch(train) [21][540/3757] lr: 1.000e-02 eta: 22:05:17 time: 0.206 data_time: 0.013 memory: 5148 grad_norm: 5.0673 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2354 loss: 2.2354 2022/06/27 23:02:24 - mmengine - INFO - Epoch(train) [21][560/3757] lr: 1.000e-02 eta: 22:05:13 time: 0.190 data_time: 0.006 memory: 5148 grad_norm: 6.1648 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4390 loss: 2.4390 2022/06/27 23:02:29 - mmengine - INFO - Epoch(train) [21][580/3757] lr: 1.000e-02 eta: 22:05:10 time: 0.202 data_time: 0.026 memory: 5148 grad_norm: 6.4166 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7851 loss: 1.7851 2022/06/27 23:02:34 - mmengine - INFO - Epoch(train) [21][600/3757] lr: 1.000e-02 eta: 22:05:02 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.9667 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8728 loss: 1.8728 2022/06/27 23:02:40 - mmengine - INFO - Epoch(train) [21][620/3757] lr: 1.000e-02 eta: 22:04:59 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.5736 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9913 loss: 1.9913 2022/06/27 23:02:46 - mmengine - INFO - Epoch(train) [21][640/3757] lr: 1.000e-02 eta: 22:04:55 time: 0.208 data_time: 0.034 memory: 5148 grad_norm: 5.6189 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1943 loss: 2.1943 2022/06/27 23:02:51 - mmengine - INFO - Epoch(train) [21][660/3757] lr: 1.000e-02 eta: 22:04:49 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 5.4354 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8235 loss: 1.8235 2022/06/27 23:02:56 - mmengine - INFO - Epoch(train) [21][680/3757] lr: 1.000e-02 eta: 22:04:44 time: 0.194 data_time: 0.006 memory: 5148 grad_norm: 5.7342 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1615 loss: 2.1615 2022/06/27 23:03:02 - mmengine - INFO - Epoch(train) [21][700/3757] lr: 1.000e-02 eta: 22:04:40 time: 0.219 data_time: 0.025 memory: 5148 grad_norm: 6.2067 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4923 loss: 2.4923 2022/06/27 23:03:07 - mmengine - INFO - Epoch(train) [21][720/3757] lr: 1.000e-02 eta: 22:04:33 time: 0.216 data_time: 0.008 memory: 5148 grad_norm: 5.6051 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9406 loss: 1.9406 2022/06/27 23:03:12 - mmengine - INFO - Epoch(train) [21][740/3757] lr: 1.000e-02 eta: 22:04:29 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.2281 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0995 loss: 2.0995 2022/06/27 23:03:18 - mmengine - INFO - Epoch(train) [21][760/3757] lr: 1.000e-02 eta: 22:04:25 time: 0.219 data_time: 0.011 memory: 5148 grad_norm: 5.8525 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1202 loss: 2.1202 2022/06/27 23:03:23 - mmengine - INFO - Epoch(train) [21][780/3757] lr: 1.000e-02 eta: 22:04:18 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.7417 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1670 loss: 2.1670 2022/06/27 23:03:29 - mmengine - INFO - Epoch(train) [21][800/3757] lr: 1.000e-02 eta: 22:04:15 time: 0.191 data_time: 0.012 memory: 5148 grad_norm: 5.4913 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2601 loss: 2.2601 2022/06/27 23:03:35 - mmengine - INFO - Epoch(train) [21][820/3757] lr: 1.000e-02 eta: 22:04:13 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 5.3800 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1051 loss: 2.1051 2022/06/27 23:03:39 - mmengine - INFO - Epoch(train) [21][840/3757] lr: 1.000e-02 eta: 22:04:03 time: 0.206 data_time: 0.009 memory: 5148 grad_norm: 4.5963 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.6932 loss: 2.6932 2022/06/27 23:03:43 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 23:03:43 - mmengine - INFO - Epoch(train) [21][860/3757] lr: 1.000e-02 eta: 22:03:54 time: 0.200 data_time: 0.015 memory: 5148 grad_norm: 5.1265 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1127 loss: 2.1127 2022/06/27 23:03:49 - mmengine - INFO - Epoch(train) [21][880/3757] lr: 1.000e-02 eta: 22:03:50 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 5.3818 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9464 loss: 1.9464 2022/06/27 23:03:54 - mmengine - INFO - Epoch(train) [21][900/3757] lr: 1.000e-02 eta: 22:03:42 time: 0.310 data_time: 0.007 memory: 5148 grad_norm: 6.1132 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7224 loss: 1.7224 2022/06/27 23:04:00 - mmengine - INFO - Epoch(train) [21][920/3757] lr: 1.000e-02 eta: 22:03:40 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 5.6227 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0382 loss: 2.0382 2022/06/27 23:04:05 - mmengine - INFO - Epoch(train) [21][940/3757] lr: 1.000e-02 eta: 22:03:35 time: 0.208 data_time: 0.009 memory: 5148 grad_norm: 5.9767 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3350 loss: 2.3350 2022/06/27 23:04:10 - mmengine - INFO - Epoch(train) [21][960/3757] lr: 1.000e-02 eta: 22:03:27 time: 0.194 data_time: 0.012 memory: 5148 grad_norm: 5.7357 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7494 loss: 1.7494 2022/06/27 23:04:16 - mmengine - INFO - Epoch(train) [21][980/3757] lr: 1.000e-02 eta: 22:03:23 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 5.2763 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3560 loss: 2.3560 2022/06/27 23:04:21 - mmengine - INFO - Epoch(train) [21][1000/3757] lr: 1.000e-02 eta: 22:03:18 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 6.0230 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3500 loss: 2.3500 2022/06/27 23:04:25 - mmengine - INFO - Epoch(train) [21][1020/3757] lr: 1.000e-02 eta: 22:03:10 time: 0.206 data_time: 0.006 memory: 5148 grad_norm: 6.1635 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3667 loss: 2.3667 2022/06/27 23:04:31 - mmengine - INFO - Epoch(train) [21][1040/3757] lr: 1.000e-02 eta: 22:03:06 time: 0.194 data_time: 0.006 memory: 5148 grad_norm: 4.9178 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2023 loss: 2.2023 2022/06/27 23:04:37 - mmengine - INFO - Epoch(train) [21][1060/3757] lr: 1.000e-02 eta: 22:03:02 time: 0.193 data_time: 0.008 memory: 5148 grad_norm: 5.7405 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1411 loss: 2.1411 2022/06/27 23:04:42 - mmengine - INFO - Epoch(train) [21][1080/3757] lr: 1.000e-02 eta: 22:02:55 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 6.0071 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9381 loss: 1.9381 2022/06/27 23:04:47 - mmengine - INFO - Epoch(train) [21][1100/3757] lr: 1.000e-02 eta: 22:02:51 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 5.3638 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6029 loss: 2.6029 2022/06/27 23:04:52 - mmengine - INFO - Epoch(train) [21][1120/3757] lr: 1.000e-02 eta: 22:02:45 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 5.9901 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0943 loss: 2.0943 2022/06/27 23:04:57 - mmengine - INFO - Epoch(train) [21][1140/3757] lr: 1.000e-02 eta: 22:02:39 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.6947 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1432 loss: 2.1432 2022/06/27 23:05:03 - mmengine - INFO - Epoch(train) [21][1160/3757] lr: 1.000e-02 eta: 22:02:35 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 5.6014 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0890 loss: 2.0890 2022/06/27 23:05:09 - mmengine - INFO - Epoch(train) [21][1180/3757] lr: 1.000e-02 eta: 22:02:32 time: 0.209 data_time: 0.006 memory: 5148 grad_norm: 5.0683 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0353 loss: 2.0353 2022/06/27 23:05:14 - mmengine - INFO - Epoch(train) [21][1200/3757] lr: 1.000e-02 eta: 22:02:24 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 5.4871 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1643 loss: 2.1643 2022/06/27 23:05:19 - mmengine - INFO - Epoch(train) [21][1220/3757] lr: 1.000e-02 eta: 22:02:18 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 5.0878 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9136 loss: 1.9136 2022/06/27 23:05:24 - mmengine - INFO - Epoch(train) [21][1240/3757] lr: 1.000e-02 eta: 22:02:14 time: 0.198 data_time: 0.016 memory: 5148 grad_norm: 5.0569 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8516 loss: 2.8516 2022/06/27 23:05:29 - mmengine - INFO - Epoch(train) [21][1260/3757] lr: 1.000e-02 eta: 22:02:06 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.0554 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0312 loss: 2.0312 2022/06/27 23:05:35 - mmengine - INFO - Epoch(train) [21][1280/3757] lr: 1.000e-02 eta: 22:02:03 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.1561 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.0765 loss: 2.0765 2022/06/27 23:05:40 - mmengine - INFO - Epoch(train) [21][1300/3757] lr: 1.000e-02 eta: 22:01:55 time: 0.199 data_time: 0.018 memory: 5148 grad_norm: 5.5481 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2143 loss: 2.2143 2022/06/27 23:05:45 - mmengine - INFO - Epoch(train) [21][1320/3757] lr: 1.000e-02 eta: 22:01:50 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 5.1944 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9659 loss: 1.9659 2022/06/27 23:05:51 - mmengine - INFO - Epoch(train) [21][1340/3757] lr: 1.000e-02 eta: 22:01:46 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.1423 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1947 loss: 2.1947 2022/06/27 23:05:56 - mmengine - INFO - Epoch(train) [21][1360/3757] lr: 1.000e-02 eta: 22:01:41 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 5.7065 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5184 loss: 2.5184 2022/06/27 23:06:01 - mmengine - INFO - Epoch(train) [21][1380/3757] lr: 1.000e-02 eta: 22:01:33 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.3405 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9417 loss: 1.9417 2022/06/27 23:06:06 - mmengine - INFO - Epoch(train) [21][1400/3757] lr: 1.000e-02 eta: 22:01:29 time: 0.208 data_time: 0.028 memory: 5148 grad_norm: 6.3373 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0743 loss: 2.0743 2022/06/27 23:06:12 - mmengine - INFO - Epoch(train) [21][1420/3757] lr: 1.000e-02 eta: 22:01:24 time: 0.208 data_time: 0.034 memory: 5148 grad_norm: 5.3519 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0850 loss: 2.0850 2022/06/27 23:06:16 - mmengine - INFO - Epoch(train) [21][1440/3757] lr: 1.000e-02 eta: 22:01:16 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 6.0133 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0129 loss: 2.0129 2022/06/27 23:06:22 - mmengine - INFO - Epoch(train) [21][1460/3757] lr: 1.000e-02 eta: 22:01:12 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.3652 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0586 loss: 2.0586 2022/06/27 23:06:28 - mmengine - INFO - Epoch(train) [21][1480/3757] lr: 1.000e-02 eta: 22:01:10 time: 0.204 data_time: 0.009 memory: 5148 grad_norm: 5.8931 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3302 loss: 2.3302 2022/06/27 23:06:32 - mmengine - INFO - Epoch(train) [21][1500/3757] lr: 1.000e-02 eta: 22:01:01 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.7975 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3007 loss: 2.3007 2022/06/27 23:06:38 - mmengine - INFO - Epoch(train) [21][1520/3757] lr: 1.000e-02 eta: 22:00:56 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.2851 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2031 loss: 2.2031 2022/06/27 23:06:43 - mmengine - INFO - Epoch(train) [21][1540/3757] lr: 1.000e-02 eta: 22:00:51 time: 0.208 data_time: 0.009 memory: 5148 grad_norm: 4.9009 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2059 loss: 2.2059 2022/06/27 23:06:48 - mmengine - INFO - Epoch(train) [21][1560/3757] lr: 1.000e-02 eta: 22:00:44 time: 0.196 data_time: 0.006 memory: 5148 grad_norm: 5.2746 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7636 loss: 1.7636 2022/06/27 23:06:53 - mmengine - INFO - Epoch(train) [21][1580/3757] lr: 1.000e-02 eta: 22:00:39 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 6.3801 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1318 loss: 2.1318 2022/06/27 23:06:59 - mmengine - INFO - Epoch(train) [21][1600/3757] lr: 1.000e-02 eta: 22:00:34 time: 0.195 data_time: 0.009 memory: 5148 grad_norm: 5.2795 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1085 loss: 2.1085 2022/06/27 23:07:04 - mmengine - INFO - Epoch(train) [21][1620/3757] lr: 1.000e-02 eta: 22:00:27 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 4.8352 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4084 loss: 2.4084 2022/06/27 23:07:09 - mmengine - INFO - Epoch(train) [21][1640/3757] lr: 1.000e-02 eta: 22:00:23 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 5.2127 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8899 loss: 1.8899 2022/06/27 23:07:15 - mmengine - INFO - Epoch(train) [21][1660/3757] lr: 1.000e-02 eta: 22:00:20 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 5.7234 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1991 loss: 2.1991 2022/06/27 23:07:19 - mmengine - INFO - Epoch(train) [21][1680/3757] lr: 1.000e-02 eta: 22:00:10 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 4.8385 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3746 loss: 2.3746 2022/06/27 23:07:25 - mmengine - INFO - Epoch(train) [21][1700/3757] lr: 1.000e-02 eta: 22:00:06 time: 0.218 data_time: 0.010 memory: 5148 grad_norm: 5.6664 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2477 loss: 2.2477 2022/06/27 23:07:30 - mmengine - INFO - Epoch(train) [21][1720/3757] lr: 1.000e-02 eta: 21:59:58 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 6.2152 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4898 loss: 1.4898 2022/06/27 23:07:36 - mmengine - INFO - Epoch(train) [21][1740/3757] lr: 1.000e-02 eta: 21:59:56 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.4336 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7898 loss: 1.7898 2022/06/27 23:07:41 - mmengine - INFO - Epoch(train) [21][1760/3757] lr: 1.000e-02 eta: 21:59:50 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.3718 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3665 loss: 2.3665 2022/06/27 23:07:46 - mmengine - INFO - Epoch(train) [21][1780/3757] lr: 1.000e-02 eta: 21:59:43 time: 0.207 data_time: 0.027 memory: 5148 grad_norm: 5.4686 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2858 loss: 2.2858 2022/06/27 23:07:51 - mmengine - INFO - Epoch(train) [21][1800/3757] lr: 1.000e-02 eta: 21:59:38 time: 0.197 data_time: 0.013 memory: 5148 grad_norm: 5.0247 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6581 loss: 1.6581 2022/06/27 23:07:56 - mmengine - INFO - Epoch(train) [21][1820/3757] lr: 1.000e-02 eta: 21:59:32 time: 0.191 data_time: 0.012 memory: 5148 grad_norm: 4.9753 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9929 loss: 1.9929 2022/06/27 23:08:01 - mmengine - INFO - Epoch(train) [21][1840/3757] lr: 1.000e-02 eta: 21:59:26 time: 0.197 data_time: 0.015 memory: 5148 grad_norm: 5.1680 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7870 loss: 1.7870 2022/06/27 23:08:07 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 23:08:07 - mmengine - INFO - Epoch(train) [21][1860/3757] lr: 1.000e-02 eta: 21:59:22 time: 0.205 data_time: 0.009 memory: 5148 grad_norm: 5.5812 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0871 loss: 2.0871 2022/06/27 23:08:12 - mmengine - INFO - Epoch(train) [21][1880/3757] lr: 1.000e-02 eta: 21:59:17 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.7638 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9291 loss: 1.9291 2022/06/27 23:08:17 - mmengine - INFO - Epoch(train) [21][1900/3757] lr: 1.000e-02 eta: 21:59:11 time: 0.227 data_time: 0.018 memory: 5148 grad_norm: 5.8746 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2269 loss: 2.2269 2022/06/27 23:08:23 - mmengine - INFO - Epoch(train) [21][1920/3757] lr: 1.000e-02 eta: 21:59:05 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 5.9745 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2518 loss: 2.2518 2022/06/27 23:08:28 - mmengine - INFO - Epoch(train) [21][1940/3757] lr: 1.000e-02 eta: 21:59:01 time: 0.226 data_time: 0.049 memory: 5148 grad_norm: 5.2666 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3938 loss: 2.3938 2022/06/27 23:08:33 - mmengine - INFO - Epoch(train) [21][1960/3757] lr: 1.000e-02 eta: 21:58:54 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.2517 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7901 loss: 1.7901 2022/06/27 23:08:38 - mmengine - INFO - Epoch(train) [21][1980/3757] lr: 1.000e-02 eta: 21:58:49 time: 0.195 data_time: 0.014 memory: 5148 grad_norm: 6.3562 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1355 loss: 2.1355 2022/06/27 23:08:44 - mmengine - INFO - Epoch(train) [21][2000/3757] lr: 1.000e-02 eta: 21:58:43 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 5.2849 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1302 loss: 2.1302 2022/06/27 23:08:49 - mmengine - INFO - Epoch(train) [21][2020/3757] lr: 1.000e-02 eta: 21:58:36 time: 0.204 data_time: 0.009 memory: 5148 grad_norm: 5.2768 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9982 loss: 1.9982 2022/06/27 23:08:54 - mmengine - INFO - Epoch(train) [21][2040/3757] lr: 1.000e-02 eta: 21:58:32 time: 0.204 data_time: 0.013 memory: 5148 grad_norm: 5.2703 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1736 loss: 2.1736 2022/06/27 23:09:00 - mmengine - INFO - Epoch(train) [21][2060/3757] lr: 1.000e-02 eta: 21:58:27 time: 0.192 data_time: 0.011 memory: 5148 grad_norm: 5.8881 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3235 loss: 2.3235 2022/06/27 23:09:05 - mmengine - INFO - Epoch(train) [21][2080/3757] lr: 1.000e-02 eta: 21:58:21 time: 0.205 data_time: 0.018 memory: 5148 grad_norm: 6.0127 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1508 loss: 2.1508 2022/06/27 23:09:09 - mmengine - INFO - Epoch(train) [21][2100/3757] lr: 1.000e-02 eta: 21:58:13 time: 0.205 data_time: 0.009 memory: 5148 grad_norm: 5.4053 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3918 loss: 2.3918 2022/06/27 23:09:15 - mmengine - INFO - Epoch(train) [21][2120/3757] lr: 1.000e-02 eta: 21:58:08 time: 0.200 data_time: 0.019 memory: 5148 grad_norm: 5.0087 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9932 loss: 1.9932 2022/06/27 23:09:20 - mmengine - INFO - Epoch(train) [21][2140/3757] lr: 1.000e-02 eta: 21:58:03 time: 0.211 data_time: 0.010 memory: 5148 grad_norm: 5.9202 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0263 loss: 2.0263 2022/06/27 23:09:25 - mmengine - INFO - Epoch(train) [21][2160/3757] lr: 1.000e-02 eta: 21:57:58 time: 0.195 data_time: 0.009 memory: 5148 grad_norm: 5.3425 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1544 loss: 2.1544 2022/06/27 23:09:31 - mmengine - INFO - Epoch(train) [21][2180/3757] lr: 1.000e-02 eta: 21:57:54 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 5.3522 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0693 loss: 2.0693 2022/06/27 23:09:36 - mmengine - INFO - Epoch(train) [21][2200/3757] lr: 1.000e-02 eta: 21:57:47 time: 0.209 data_time: 0.010 memory: 5148 grad_norm: 5.5106 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4909 loss: 2.4909 2022/06/27 23:09:41 - mmengine - INFO - Epoch(train) [21][2220/3757] lr: 1.000e-02 eta: 21:57:42 time: 0.224 data_time: 0.013 memory: 5148 grad_norm: 5.9471 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1505 loss: 2.1505 2022/06/27 23:09:47 - mmengine - INFO - Epoch(train) [21][2240/3757] lr: 1.000e-02 eta: 21:57:37 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 5.6092 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2066 loss: 2.2066 2022/06/27 23:09:51 - mmengine - INFO - Epoch(train) [21][2260/3757] lr: 1.000e-02 eta: 21:57:30 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 5.9645 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1481 loss: 2.1481 2022/06/27 23:09:57 - mmengine - INFO - Epoch(train) [21][2280/3757] lr: 1.000e-02 eta: 21:57:25 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 5.5042 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1349 loss: 2.1349 2022/06/27 23:10:03 - mmengine - INFO - Epoch(train) [21][2300/3757] lr: 1.000e-02 eta: 21:57:21 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 5.5098 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1417 loss: 2.1417 2022/06/27 23:10:08 - mmengine - INFO - Epoch(train) [21][2320/3757] lr: 1.000e-02 eta: 21:57:16 time: 0.214 data_time: 0.009 memory: 5148 grad_norm: 4.9764 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6114 loss: 2.6114 2022/06/27 23:10:13 - mmengine - INFO - Epoch(train) [21][2340/3757] lr: 1.000e-02 eta: 21:57:09 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.6213 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4595 loss: 2.4595 2022/06/27 23:10:18 - mmengine - INFO - Epoch(train) [21][2360/3757] lr: 1.000e-02 eta: 21:57:05 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.1131 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9441 loss: 1.9441 2022/06/27 23:10:24 - mmengine - INFO - Epoch(train) [21][2380/3757] lr: 1.000e-02 eta: 21:57:01 time: 0.225 data_time: 0.006 memory: 5148 grad_norm: 5.1097 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2269 loss: 2.2269 2022/06/27 23:10:28 - mmengine - INFO - Epoch(train) [21][2400/3757] lr: 1.000e-02 eta: 21:56:52 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 5.2805 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1973 loss: 2.1973 2022/06/27 23:10:34 - mmengine - INFO - Epoch(train) [21][2420/3757] lr: 1.000e-02 eta: 21:56:47 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 5.4843 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4807 loss: 2.4807 2022/06/27 23:10:39 - mmengine - INFO - Epoch(train) [21][2440/3757] lr: 1.000e-02 eta: 21:56:42 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 5.1290 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0590 loss: 2.0590 2022/06/27 23:10:44 - mmengine - INFO - Epoch(train) [21][2460/3757] lr: 1.000e-02 eta: 21:56:36 time: 0.214 data_time: 0.006 memory: 5148 grad_norm: 5.8061 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7659 loss: 1.7659 2022/06/27 23:10:50 - mmengine - INFO - Epoch(train) [21][2480/3757] lr: 1.000e-02 eta: 21:56:30 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.7410 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1146 loss: 2.1146 2022/06/27 23:10:55 - mmengine - INFO - Epoch(train) [21][2500/3757] lr: 1.000e-02 eta: 21:56:27 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 5.3640 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9542 loss: 1.9542 2022/06/27 23:11:00 - mmengine - INFO - Epoch(train) [21][2520/3757] lr: 1.000e-02 eta: 21:56:18 time: 0.213 data_time: 0.016 memory: 5148 grad_norm: 5.9572 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9832 loss: 1.9832 2022/06/27 23:11:05 - mmengine - INFO - Epoch(train) [21][2540/3757] lr: 1.000e-02 eta: 21:56:13 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.2423 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1432 loss: 2.1432 2022/06/27 23:11:11 - mmengine - INFO - Epoch(train) [21][2560/3757] lr: 1.000e-02 eta: 21:56:09 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 5.7843 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4683 loss: 2.4683 2022/06/27 23:11:16 - mmengine - INFO - Epoch(train) [21][2580/3757] lr: 1.000e-02 eta: 21:56:03 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 5.2564 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0631 loss: 2.0631 2022/06/27 23:11:22 - mmengine - INFO - Epoch(train) [21][2600/3757] lr: 1.000e-02 eta: 21:56:00 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 4.7727 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0160 loss: 2.0160 2022/06/27 23:11:27 - mmengine - INFO - Epoch(train) [21][2620/3757] lr: 1.000e-02 eta: 21:55:55 time: 0.239 data_time: 0.010 memory: 5148 grad_norm: 5.0753 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2627 loss: 2.2627 2022/06/27 23:11:32 - mmengine - INFO - Epoch(train) [21][2640/3757] lr: 1.000e-02 eta: 21:55:48 time: 0.193 data_time: 0.009 memory: 5148 grad_norm: 5.5725 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2287 loss: 2.2287 2022/06/27 23:11:37 - mmengine - INFO - Epoch(train) [21][2660/3757] lr: 1.000e-02 eta: 21:55:42 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.0696 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1122 loss: 2.1122 2022/06/27 23:11:43 - mmengine - INFO - Epoch(train) [21][2680/3757] lr: 1.000e-02 eta: 21:55:37 time: 0.206 data_time: 0.009 memory: 5148 grad_norm: 5.4251 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4238 loss: 2.4238 2022/06/27 23:11:48 - mmengine - INFO - Epoch(train) [21][2700/3757] lr: 1.000e-02 eta: 21:55:31 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 5.8168 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5605 loss: 2.5605 2022/06/27 23:11:53 - mmengine - INFO - Epoch(train) [21][2720/3757] lr: 1.000e-02 eta: 21:55:27 time: 0.207 data_time: 0.009 memory: 5148 grad_norm: 6.6886 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1228 loss: 2.1228 2022/06/27 23:11:58 - mmengine - INFO - Epoch(train) [21][2740/3757] lr: 1.000e-02 eta: 21:55:21 time: 0.195 data_time: 0.016 memory: 5148 grad_norm: 6.0414 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5128 loss: 2.5128 2022/06/27 23:12:04 - mmengine - INFO - Epoch(train) [21][2760/3757] lr: 1.000e-02 eta: 21:55:15 time: 0.195 data_time: 0.015 memory: 5148 grad_norm: 5.3773 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8556 loss: 1.8556 2022/06/27 23:12:09 - mmengine - INFO - Epoch(train) [21][2780/3757] lr: 1.000e-02 eta: 21:55:10 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 6.4673 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5016 loss: 2.5016 2022/06/27 23:12:14 - mmengine - INFO - Epoch(train) [21][2800/3757] lr: 1.000e-02 eta: 21:55:05 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 6.3084 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1340 loss: 2.1340 2022/06/27 23:12:19 - mmengine - INFO - Epoch(train) [21][2820/3757] lr: 1.000e-02 eta: 21:54:59 time: 0.419 data_time: 0.014 memory: 5148 grad_norm: 5.8794 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3647 loss: 2.3647 2022/06/27 23:12:25 - mmengine - INFO - Epoch(train) [21][2840/3757] lr: 1.000e-02 eta: 21:54:54 time: 0.249 data_time: 0.047 memory: 5148 grad_norm: 5.6886 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0550 loss: 2.0550 2022/06/27 23:12:30 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 23:12:30 - mmengine - INFO - Epoch(train) [21][2860/3757] lr: 1.000e-02 eta: 21:54:48 time: 0.213 data_time: 0.010 memory: 5148 grad_norm: 6.0898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3225 loss: 2.3225 2022/06/27 23:12:35 - mmengine - INFO - Epoch(train) [21][2880/3757] lr: 1.000e-02 eta: 21:54:43 time: 0.466 data_time: 0.011 memory: 5148 grad_norm: 5.1610 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9273 loss: 1.9273 2022/06/27 23:12:40 - mmengine - INFO - Epoch(train) [21][2900/3757] lr: 1.000e-02 eta: 21:54:37 time: 0.197 data_time: 0.023 memory: 5148 grad_norm: 5.9393 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4253 loss: 2.4253 2022/06/27 23:12:46 - mmengine - INFO - Epoch(train) [21][2920/3757] lr: 1.000e-02 eta: 21:54:32 time: 0.199 data_time: 0.013 memory: 5148 grad_norm: 5.2625 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1816 loss: 2.1816 2022/06/27 23:12:51 - mmengine - INFO - Epoch(train) [21][2940/3757] lr: 1.000e-02 eta: 21:54:25 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 5.7964 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6623 loss: 2.6623 2022/06/27 23:12:56 - mmengine - INFO - Epoch(train) [21][2960/3757] lr: 1.000e-02 eta: 21:54:20 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 6.2885 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7278 loss: 1.7278 2022/06/27 23:13:02 - mmengine - INFO - Epoch(train) [21][2980/3757] lr: 1.000e-02 eta: 21:54:15 time: 0.193 data_time: 0.012 memory: 5148 grad_norm: 5.0542 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3212 loss: 2.3212 2022/06/27 23:13:07 - mmengine - INFO - Epoch(train) [21][3000/3757] lr: 1.000e-02 eta: 21:54:09 time: 0.220 data_time: 0.007 memory: 5148 grad_norm: 5.3959 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3298 loss: 2.3298 2022/06/27 23:13:12 - mmengine - INFO - Epoch(train) [21][3020/3757] lr: 1.000e-02 eta: 21:54:03 time: 0.208 data_time: 0.010 memory: 5148 grad_norm: 5.3720 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.5215 loss: 2.5215 2022/06/27 23:13:17 - mmengine - INFO - Epoch(train) [21][3040/3757] lr: 1.000e-02 eta: 21:53:58 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.4963 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4171 loss: 2.4171 2022/06/27 23:13:22 - mmengine - INFO - Epoch(train) [21][3060/3757] lr: 1.000e-02 eta: 21:53:52 time: 0.563 data_time: 0.007 memory: 5148 grad_norm: 5.7880 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2108 loss: 2.2108 2022/06/27 23:13:28 - mmengine - INFO - Epoch(train) [21][3080/3757] lr: 1.000e-02 eta: 21:53:47 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 6.0854 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8792 loss: 1.8792 2022/06/27 23:13:33 - mmengine - INFO - Epoch(train) [21][3100/3757] lr: 1.000e-02 eta: 21:53:44 time: 0.205 data_time: 0.005 memory: 5148 grad_norm: 5.0697 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0528 loss: 2.0528 2022/06/27 23:13:38 - mmengine - INFO - Epoch(train) [21][3120/3757] lr: 1.000e-02 eta: 21:53:35 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 5.7668 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0557 loss: 2.0557 2022/06/27 23:13:44 - mmengine - INFO - Epoch(train) [21][3140/3757] lr: 1.000e-02 eta: 21:53:31 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 5.3889 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9398 loss: 1.9398 2022/06/27 23:13:49 - mmengine - INFO - Epoch(train) [21][3160/3757] lr: 1.000e-02 eta: 21:53:26 time: 0.208 data_time: 0.009 memory: 5148 grad_norm: 5.3795 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5338 loss: 2.5338 2022/06/27 23:13:54 - mmengine - INFO - Epoch(train) [21][3180/3757] lr: 1.000e-02 eta: 21:53:19 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 5.1528 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1350 loss: 2.1350 2022/06/27 23:13:59 - mmengine - INFO - Epoch(train) [21][3200/3757] lr: 1.000e-02 eta: 21:53:15 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 5.4418 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9132 loss: 1.9132 2022/06/27 23:14:05 - mmengine - INFO - Epoch(train) [21][3220/3757] lr: 1.000e-02 eta: 21:53:10 time: 0.328 data_time: 0.129 memory: 5148 grad_norm: 5.5128 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1316 loss: 2.1316 2022/06/27 23:14:10 - mmengine - INFO - Epoch(train) [21][3240/3757] lr: 1.000e-02 eta: 21:53:03 time: 0.216 data_time: 0.010 memory: 5148 grad_norm: 5.1414 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1457 loss: 2.1457 2022/06/27 23:14:16 - mmengine - INFO - Epoch(train) [21][3260/3757] lr: 1.000e-02 eta: 21:53:00 time: 0.209 data_time: 0.006 memory: 5148 grad_norm: 4.9490 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0890 loss: 3.0890 2022/06/27 23:14:20 - mmengine - INFO - Epoch(train) [21][3280/3757] lr: 1.000e-02 eta: 21:52:52 time: 0.199 data_time: 0.013 memory: 5148 grad_norm: 4.9054 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1477 loss: 2.1477 2022/06/27 23:14:26 - mmengine - INFO - Epoch(train) [21][3300/3757] lr: 1.000e-02 eta: 21:52:49 time: 0.199 data_time: 0.009 memory: 5148 grad_norm: 5.2677 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.2938 loss: 2.2938 2022/06/27 23:14:31 - mmengine - INFO - Epoch(train) [21][3320/3757] lr: 1.000e-02 eta: 21:52:42 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.1255 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6744 loss: 1.6744 2022/06/27 23:14:36 - mmengine - INFO - Epoch(train) [21][3340/3757] lr: 1.000e-02 eta: 21:52:37 time: 0.227 data_time: 0.010 memory: 5148 grad_norm: 4.4483 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8926 loss: 1.8926 2022/06/27 23:14:41 - mmengine - INFO - Epoch(train) [21][3360/3757] lr: 1.000e-02 eta: 21:52:31 time: 0.917 data_time: 0.006 memory: 5148 grad_norm: 5.0687 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2802 loss: 2.2802 2022/06/27 23:14:46 - mmengine - INFO - Epoch(train) [21][3380/3757] lr: 1.000e-02 eta: 21:52:24 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 6.2908 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9049 loss: 1.9049 2022/06/27 23:14:52 - mmengine - INFO - Epoch(train) [21][3400/3757] lr: 1.000e-02 eta: 21:52:19 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 5.4206 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8952 loss: 1.8952 2022/06/27 23:14:57 - mmengine - INFO - Epoch(train) [21][3420/3757] lr: 1.000e-02 eta: 21:52:13 time: 0.384 data_time: 0.011 memory: 5148 grad_norm: 5.2307 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0253 loss: 2.0253 2022/06/27 23:15:02 - mmengine - INFO - Epoch(train) [21][3440/3757] lr: 1.000e-02 eta: 21:52:07 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 4.7529 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0881 loss: 2.0881 2022/06/27 23:15:08 - mmengine - INFO - Epoch(train) [21][3460/3757] lr: 1.000e-02 eta: 21:52:03 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 5.4904 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2249 loss: 2.2249 2022/06/27 23:15:13 - mmengine - INFO - Epoch(train) [21][3480/3757] lr: 1.000e-02 eta: 21:51:59 time: 0.581 data_time: 0.007 memory: 5148 grad_norm: 5.6917 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3237 loss: 2.3237 2022/06/27 23:15:18 - mmengine - INFO - Epoch(train) [21][3500/3757] lr: 1.000e-02 eta: 21:51:53 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 5.0493 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1295 loss: 2.1295 2022/06/27 23:15:23 - mmengine - INFO - Epoch(train) [21][3520/3757] lr: 1.000e-02 eta: 21:51:47 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.6700 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9252 loss: 1.9252 2022/06/27 23:15:29 - mmengine - INFO - Epoch(train) [21][3540/3757] lr: 1.000e-02 eta: 21:51:43 time: 0.214 data_time: 0.011 memory: 5148 grad_norm: 5.4363 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0263 loss: 2.0263 2022/06/27 23:15:34 - mmengine - INFO - Epoch(train) [21][3560/3757] lr: 1.000e-02 eta: 21:51:37 time: 0.193 data_time: 0.015 memory: 5148 grad_norm: 5.3324 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0720 loss: 2.0720 2022/06/27 23:15:40 - mmengine - INFO - Epoch(train) [21][3580/3757] lr: 1.000e-02 eta: 21:51:33 time: 0.228 data_time: 0.007 memory: 5148 grad_norm: 5.3382 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1474 loss: 2.1474 2022/06/27 23:15:45 - mmengine - INFO - Epoch(train) [21][3600/3757] lr: 1.000e-02 eta: 21:51:25 time: 0.207 data_time: 0.011 memory: 5148 grad_norm: 4.7263 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0619 loss: 2.0619 2022/06/27 23:15:50 - mmengine - INFO - Epoch(train) [21][3620/3757] lr: 1.000e-02 eta: 21:51:21 time: 0.199 data_time: 0.021 memory: 5148 grad_norm: 5.7480 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1969 loss: 2.1969 2022/06/27 23:15:56 - mmengine - INFO - Epoch(train) [21][3640/3757] lr: 1.000e-02 eta: 21:51:16 time: 0.213 data_time: 0.013 memory: 5148 grad_norm: 5.3963 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4355 loss: 2.4355 2022/06/27 23:16:01 - mmengine - INFO - Epoch(train) [21][3660/3757] lr: 1.000e-02 eta: 21:51:11 time: 0.637 data_time: 0.010 memory: 5148 grad_norm: 6.3603 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8434 loss: 1.8434 2022/06/27 23:16:06 - mmengine - INFO - Epoch(train) [21][3680/3757] lr: 1.000e-02 eta: 21:51:06 time: 0.199 data_time: 0.018 memory: 5148 grad_norm: 4.9374 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1183 loss: 2.1183 2022/06/27 23:16:11 - mmengine - INFO - Epoch(train) [21][3700/3757] lr: 1.000e-02 eta: 21:51:00 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 5.1091 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0447 loss: 2.0447 2022/06/27 23:16:17 - mmengine - INFO - Epoch(train) [21][3720/3757] lr: 1.000e-02 eta: 21:50:55 time: 0.352 data_time: 0.007 memory: 5148 grad_norm: 6.5571 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3461 loss: 2.3461 2022/06/27 23:16:21 - mmengine - INFO - Epoch(train) [21][3740/3757] lr: 1.000e-02 eta: 21:50:47 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 5.5135 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9707 loss: 1.9707 2022/06/27 23:16:24 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 23:16:31 - mmengine - INFO - Epoch(val) [21][20/310] eta: 0:01:07 time: 0.136 data_time: 0.060 memory: 5148 2022/06/27 23:16:36 - mmengine - INFO - Epoch(val) [21][40/310] eta: 0:01:00 time: 0.083 data_time: 0.009 memory: 1367 2022/06/27 23:16:42 - mmengine - INFO - Epoch(val) [21][60/310] eta: 0:00:55 time: 0.076 data_time: 0.005 memory: 1367 2022/06/27 23:16:46 - mmengine - INFO - Epoch(val) [21][80/310] eta: 0:00:55 time: 0.081 data_time: 0.009 memory: 1367 2022/06/27 23:16:52 - mmengine - INFO - Epoch(val) [21][100/310] eta: 0:00:47 time: 0.078 data_time: 0.006 memory: 1367 2022/06/27 23:16:57 - mmengine - INFO - Epoch(val) [21][120/310] eta: 0:00:43 time: 0.081 data_time: 0.009 memory: 1367 2022/06/27 23:17:03 - mmengine - INFO - Epoch(val) [21][140/310] eta: 0:00:40 time: 0.089 data_time: 0.009 memory: 1367 2022/06/27 23:17:07 - mmengine - INFO - Epoch(val) [21][160/310] eta: 0:00:35 time: 0.275 data_time: 0.195 memory: 1367 2022/06/27 23:17:14 - mmengine - INFO - Epoch(val) [21][180/310] eta: 0:00:40 time: 1.015 data_time: 0.942 memory: 1367 2022/06/27 23:17:18 - mmengine - INFO - Epoch(val) [21][200/310] eta: 0:00:25 time: 0.080 data_time: 0.008 memory: 1367 2022/06/27 23:17:24 - mmengine - INFO - Epoch(val) [21][220/310] eta: 0:00:28 time: 0.841 data_time: 0.770 memory: 1367 2022/06/27 23:17:28 - mmengine - INFO - Epoch(val) [21][240/310] eta: 0:00:14 time: 0.077 data_time: 0.005 memory: 1367 2022/06/27 23:17:34 - mmengine - INFO - Epoch(val) [21][260/310] eta: 0:00:15 time: 0.691 data_time: 0.620 memory: 1367 2022/06/27 23:17:39 - mmengine - INFO - Epoch(val) [21][280/310] eta: 0:00:07 time: 0.078 data_time: 0.006 memory: 1367 2022/06/27 23:17:44 - mmengine - INFO - Epoch(val) [21][300/310] eta: 0:00:02 time: 0.747 data_time: 0.675 memory: 1367 2022/06/27 23:17:48 - mmengine - INFO - Epoch(val) [21][310/310] acc/top1: 0.5381 acc/top5: 0.7851 acc/mean1: 0.5380 2022/06/27 23:17:56 - mmengine - INFO - Epoch(train) [22][20/3757] lr: 1.000e-02 eta: 21:50:39 time: 0.195 data_time: 0.006 memory: 5148 grad_norm: 5.1163 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8862 loss: 1.8862 2022/06/27 23:18:02 - mmengine - INFO - Epoch(train) [22][40/3757] lr: 1.000e-02 eta: 21:50:35 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 5.4457 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7853 loss: 1.7853 2022/06/27 23:18:07 - mmengine - INFO - Epoch(train) [22][60/3757] lr: 1.000e-02 eta: 21:50:28 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 5.3715 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7268 loss: 1.7268 2022/06/27 23:18:12 - mmengine - INFO - Epoch(train) [22][80/3757] lr: 1.000e-02 eta: 21:50:23 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.5728 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2885 loss: 2.2885 2022/06/27 23:18:18 - mmengine - INFO - Epoch(train) [22][100/3757] lr: 1.000e-02 eta: 21:50:19 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 5.3903 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1115 loss: 2.1115 2022/06/27 23:18:18 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 23:18:22 - mmengine - INFO - Epoch(train) [22][120/3757] lr: 1.000e-02 eta: 21:50:11 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 5.9406 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0576 loss: 2.0576 2022/06/27 23:18:28 - mmengine - INFO - Epoch(train) [22][140/3757] lr: 1.000e-02 eta: 21:50:07 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 5.0723 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2352 loss: 2.2352 2022/06/27 23:18:34 - mmengine - INFO - Epoch(train) [22][160/3757] lr: 1.000e-02 eta: 21:50:04 time: 0.590 data_time: 0.006 memory: 5148 grad_norm: 5.7243 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7530 loss: 1.7530 2022/06/27 23:18:39 - mmengine - INFO - Epoch(train) [22][180/3757] lr: 1.000e-02 eta: 21:49:57 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.7805 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8905 loss: 1.8905 2022/06/27 23:18:44 - mmengine - INFO - Epoch(train) [22][200/3757] lr: 1.000e-02 eta: 21:49:53 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 6.0412 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9918 loss: 1.9918 2022/06/27 23:18:49 - mmengine - INFO - Epoch(train) [22][220/3757] lr: 1.000e-02 eta: 21:49:47 time: 0.694 data_time: 0.012 memory: 5148 grad_norm: 5.0996 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4197 loss: 2.4197 2022/06/27 23:18:54 - mmengine - INFO - Epoch(train) [22][240/3757] lr: 1.000e-02 eta: 21:49:40 time: 0.190 data_time: 0.008 memory: 5148 grad_norm: 6.1146 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2914 loss: 2.2914 2022/06/27 23:19:00 - mmengine - INFO - Epoch(train) [22][260/3757] lr: 1.000e-02 eta: 21:49:35 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.8158 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9023 loss: 1.9023 2022/06/27 23:19:05 - mmengine - INFO - Epoch(train) [22][280/3757] lr: 1.000e-02 eta: 21:49:31 time: 0.724 data_time: 0.016 memory: 5148 grad_norm: 5.5733 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2812 loss: 2.2812 2022/06/27 23:19:10 - mmengine - INFO - Epoch(train) [22][300/3757] lr: 1.000e-02 eta: 21:49:23 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 6.3326 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1192 loss: 2.1192 2022/06/27 23:19:16 - mmengine - INFO - Epoch(train) [22][320/3757] lr: 1.000e-02 eta: 21:49:21 time: 0.219 data_time: 0.010 memory: 5148 grad_norm: 4.7760 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1669 loss: 2.1669 2022/06/27 23:19:21 - mmengine - INFO - Epoch(train) [22][340/3757] lr: 1.000e-02 eta: 21:49:15 time: 0.859 data_time: 0.008 memory: 5148 grad_norm: 4.7330 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5091 loss: 1.5091 2022/06/27 23:19:26 - mmengine - INFO - Epoch(train) [22][360/3757] lr: 1.000e-02 eta: 21:49:09 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.7041 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0437 loss: 2.0437 2022/06/27 23:19:31 - mmengine - INFO - Epoch(train) [22][380/3757] lr: 1.000e-02 eta: 21:49:03 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 5.9512 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5313 loss: 2.5313 2022/06/27 23:19:37 - mmengine - INFO - Epoch(train) [22][400/3757] lr: 1.000e-02 eta: 21:48:59 time: 1.161 data_time: 0.010 memory: 5148 grad_norm: 5.8033 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.7392 loss: 2.7392 2022/06/27 23:19:42 - mmengine - INFO - Epoch(train) [22][420/3757] lr: 1.000e-02 eta: 21:48:52 time: 0.193 data_time: 0.008 memory: 5148 grad_norm: 6.3024 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1312 loss: 2.1312 2022/06/27 23:19:47 - mmengine - INFO - Epoch(train) [22][440/3757] lr: 1.000e-02 eta: 21:48:47 time: 0.211 data_time: 0.018 memory: 5148 grad_norm: 5.7595 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1562 loss: 2.1562 2022/06/27 23:19:53 - mmengine - INFO - Epoch(train) [22][460/3757] lr: 1.000e-02 eta: 21:48:43 time: 0.418 data_time: 0.012 memory: 5148 grad_norm: 6.3143 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2643 loss: 2.2643 2022/06/27 23:19:58 - mmengine - INFO - Epoch(train) [22][480/3757] lr: 1.000e-02 eta: 21:48:36 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 5.3061 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2047 loss: 2.2047 2022/06/27 23:20:04 - mmengine - INFO - Epoch(train) [22][500/3757] lr: 1.000e-02 eta: 21:48:33 time: 0.206 data_time: 0.013 memory: 5148 grad_norm: 5.9975 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5133 loss: 2.5133 2022/06/27 23:20:09 - mmengine - INFO - Epoch(train) [22][520/3757] lr: 1.000e-02 eta: 21:48:27 time: 0.227 data_time: 0.011 memory: 5148 grad_norm: 5.5595 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5229 loss: 2.5229 2022/06/27 23:20:14 - mmengine - INFO - Epoch(train) [22][540/3757] lr: 1.000e-02 eta: 21:48:20 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 5.7345 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3437 loss: 2.3437 2022/06/27 23:20:19 - mmengine - INFO - Epoch(train) [22][560/3757] lr: 1.000e-02 eta: 21:48:16 time: 0.598 data_time: 0.021 memory: 5148 grad_norm: 5.5553 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1266 loss: 2.1266 2022/06/27 23:20:25 - mmengine - INFO - Epoch(train) [22][580/3757] lr: 1.000e-02 eta: 21:48:11 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 5.5851 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2840 loss: 2.2840 2022/06/27 23:20:30 - mmengine - INFO - Epoch(train) [22][600/3757] lr: 1.000e-02 eta: 21:48:05 time: 0.208 data_time: 0.010 memory: 5148 grad_norm: 5.5976 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1046 loss: 2.1046 2022/06/27 23:20:35 - mmengine - INFO - Epoch(train) [22][620/3757] lr: 1.000e-02 eta: 21:48:00 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 4.7404 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6787 loss: 2.6787 2022/06/27 23:20:41 - mmengine - INFO - Epoch(train) [22][640/3757] lr: 1.000e-02 eta: 21:47:58 time: 0.992 data_time: 0.012 memory: 5148 grad_norm: 5.9767 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0671 loss: 2.0671 2022/06/27 23:20:46 - mmengine - INFO - Epoch(train) [22][660/3757] lr: 1.000e-02 eta: 21:47:51 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.1789 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9847 loss: 1.9847 2022/06/27 23:20:51 - mmengine - INFO - Epoch(train) [22][680/3757] lr: 1.000e-02 eta: 21:47:45 time: 0.224 data_time: 0.007 memory: 5148 grad_norm: 5.2593 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0478 loss: 2.0478 2022/06/27 23:20:57 - mmengine - INFO - Epoch(train) [22][700/3757] lr: 1.000e-02 eta: 21:47:40 time: 0.548 data_time: 0.014 memory: 5148 grad_norm: 5.6175 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3408 loss: 2.3408 2022/06/27 23:21:02 - mmengine - INFO - Epoch(train) [22][720/3757] lr: 1.000e-02 eta: 21:47:33 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 6.2646 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0783 loss: 2.0783 2022/06/27 23:21:08 - mmengine - INFO - Epoch(train) [22][740/3757] lr: 1.000e-02 eta: 21:47:31 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 5.6922 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6936 loss: 1.6936 2022/06/27 23:21:13 - mmengine - INFO - Epoch(train) [22][760/3757] lr: 1.000e-02 eta: 21:47:25 time: 1.003 data_time: 0.007 memory: 5148 grad_norm: 5.9071 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4812 loss: 2.4812 2022/06/27 23:21:18 - mmengine - INFO - Epoch(train) [22][780/3757] lr: 1.000e-02 eta: 21:47:18 time: 0.205 data_time: 0.009 memory: 5148 grad_norm: 5.7600 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9655 loss: 1.9655 2022/06/27 23:21:23 - mmengine - INFO - Epoch(train) [22][800/3757] lr: 1.000e-02 eta: 21:47:12 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.0314 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0529 loss: 2.0529 2022/06/27 23:21:29 - mmengine - INFO - Epoch(train) [22][820/3757] lr: 1.000e-02 eta: 21:47:08 time: 0.264 data_time: 0.009 memory: 5148 grad_norm: 5.2140 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8863 loss: 1.8863 2022/06/27 23:21:34 - mmengine - INFO - Epoch(train) [22][840/3757] lr: 1.000e-02 eta: 21:47:02 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 5.5774 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9100 loss: 1.9100 2022/06/27 23:21:39 - mmengine - INFO - Epoch(train) [22][860/3757] lr: 1.000e-02 eta: 21:46:57 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 5.0741 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8652 loss: 1.8652 2022/06/27 23:21:45 - mmengine - INFO - Epoch(train) [22][880/3757] lr: 1.000e-02 eta: 21:46:53 time: 0.687 data_time: 0.007 memory: 5148 grad_norm: 5.4639 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7590 loss: 1.7590 2022/06/27 23:21:50 - mmengine - INFO - Epoch(train) [22][900/3757] lr: 1.000e-02 eta: 21:46:46 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 5.4829 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2399 loss: 2.2399 2022/06/27 23:21:55 - mmengine - INFO - Epoch(train) [22][920/3757] lr: 1.000e-02 eta: 21:46:41 time: 0.210 data_time: 0.011 memory: 5148 grad_norm: 5.5810 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9730 loss: 1.9730 2022/06/27 23:22:01 - mmengine - INFO - Epoch(train) [22][940/3757] lr: 1.000e-02 eta: 21:46:37 time: 0.858 data_time: 0.007 memory: 5148 grad_norm: 5.5597 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0698 loss: 2.0698 2022/06/27 23:22:06 - mmengine - INFO - Epoch(train) [22][960/3757] lr: 1.000e-02 eta: 21:46:32 time: 0.189 data_time: 0.010 memory: 5148 grad_norm: 5.6099 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8533 loss: 1.8533 2022/06/27 23:22:12 - mmengine - INFO - Epoch(train) [22][980/3757] lr: 1.000e-02 eta: 21:46:27 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.0723 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9756 loss: 1.9756 2022/06/27 23:22:17 - mmengine - INFO - Epoch(train) [22][1000/3757] lr: 1.000e-02 eta: 21:46:24 time: 1.156 data_time: 0.010 memory: 5148 grad_norm: 5.5439 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2085 loss: 2.2085 2022/06/27 23:22:22 - mmengine - INFO - Epoch(train) [22][1020/3757] lr: 1.000e-02 eta: 21:46:16 time: 0.202 data_time: 0.022 memory: 5148 grad_norm: 5.5394 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9557 loss: 1.9557 2022/06/27 23:22:28 - mmengine - INFO - Epoch(train) [22][1040/3757] lr: 1.000e-02 eta: 21:46:13 time: 0.196 data_time: 0.006 memory: 5148 grad_norm: 5.3340 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9902 loss: 1.9902 2022/06/27 23:22:33 - mmengine - INFO - Epoch(train) [22][1060/3757] lr: 1.000e-02 eta: 21:46:06 time: 0.887 data_time: 0.009 memory: 5148 grad_norm: 6.3706 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8266 loss: 1.8266 2022/06/27 23:22:38 - mmengine - INFO - Epoch(train) [22][1080/3757] lr: 1.000e-02 eta: 21:46:00 time: 0.194 data_time: 0.011 memory: 5148 grad_norm: 5.8218 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5110 loss: 2.5110 2022/06/27 23:22:43 - mmengine - INFO - Epoch(train) [22][1100/3757] lr: 1.000e-02 eta: 21:45:56 time: 0.198 data_time: 0.013 memory: 5148 grad_norm: 5.0318 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6134 loss: 2.6134 2022/06/27 23:22:44 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 23:22:49 - mmengine - INFO - Epoch(train) [22][1120/3757] lr: 1.000e-02 eta: 21:45:50 time: 0.217 data_time: 0.010 memory: 5148 grad_norm: 5.4097 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9025 loss: 1.9025 2022/06/27 23:22:53 - mmengine - INFO - Epoch(train) [22][1140/3757] lr: 1.000e-02 eta: 21:45:42 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.0029 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2968 loss: 2.2968 2022/06/27 23:22:59 - mmengine - INFO - Epoch(train) [22][1160/3757] lr: 1.000e-02 eta: 21:45:38 time: 0.196 data_time: 0.017 memory: 5148 grad_norm: 5.2370 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8596 loss: 1.8596 2022/06/27 23:23:04 - mmengine - INFO - Epoch(train) [22][1180/3757] lr: 1.000e-02 eta: 21:45:33 time: 1.010 data_time: 0.010 memory: 5148 grad_norm: 4.9601 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9734 loss: 1.9734 2022/06/27 23:23:09 - mmengine - INFO - Epoch(train) [22][1200/3757] lr: 1.000e-02 eta: 21:45:27 time: 0.203 data_time: 0.018 memory: 5148 grad_norm: 5.0159 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7301 loss: 1.7301 2022/06/27 23:23:15 - mmengine - INFO - Epoch(train) [22][1220/3757] lr: 1.000e-02 eta: 21:45:21 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.9742 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0204 loss: 2.0204 2022/06/27 23:23:20 - mmengine - INFO - Epoch(train) [22][1240/3757] lr: 1.000e-02 eta: 21:45:18 time: 1.278 data_time: 0.006 memory: 5148 grad_norm: 6.2708 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.1034 loss: 2.1034 2022/06/27 23:23:25 - mmengine - INFO - Epoch(train) [22][1260/3757] lr: 1.000e-02 eta: 21:45:10 time: 0.197 data_time: 0.018 memory: 5148 grad_norm: 5.3852 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9610 loss: 1.9610 2022/06/27 23:23:31 - mmengine - INFO - Epoch(train) [22][1280/3757] lr: 1.000e-02 eta: 21:45:07 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 5.9179 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8799 loss: 1.8799 2022/06/27 23:23:36 - mmengine - INFO - Epoch(train) [22][1300/3757] lr: 1.000e-02 eta: 21:45:02 time: 0.457 data_time: 0.012 memory: 5148 grad_norm: 5.8726 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1596 loss: 2.1596 2022/06/27 23:23:41 - mmengine - INFO - Epoch(train) [22][1320/3757] lr: 1.000e-02 eta: 21:44:55 time: 0.210 data_time: 0.017 memory: 5148 grad_norm: 6.0987 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1709 loss: 2.1709 2022/06/27 23:23:48 - mmengine - INFO - Epoch(train) [22][1340/3757] lr: 1.000e-02 eta: 21:44:54 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 5.9200 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3092 loss: 2.3092 2022/06/27 23:23:52 - mmengine - INFO - Epoch(train) [22][1360/3757] lr: 1.000e-02 eta: 21:44:45 time: 0.314 data_time: 0.007 memory: 5148 grad_norm: 5.5905 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1481 loss: 2.1481 2022/06/27 23:23:57 - mmengine - INFO - Epoch(train) [22][1380/3757] lr: 1.000e-02 eta: 21:44:39 time: 0.207 data_time: 0.025 memory: 5148 grad_norm: 5.7545 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8683 loss: 1.8683 2022/06/27 23:24:03 - mmengine - INFO - Epoch(train) [22][1400/3757] lr: 1.000e-02 eta: 21:44:35 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 4.7239 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2791 loss: 2.2791 2022/06/27 23:24:08 - mmengine - INFO - Epoch(train) [22][1420/3757] lr: 1.000e-02 eta: 21:44:30 time: 0.210 data_time: 0.009 memory: 5148 grad_norm: 6.0290 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2455 loss: 2.2455 2022/06/27 23:24:13 - mmengine - INFO - Epoch(train) [22][1440/3757] lr: 1.000e-02 eta: 21:44:23 time: 0.201 data_time: 0.019 memory: 5148 grad_norm: 5.4574 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2239 loss: 2.2239 2022/06/27 23:24:19 - mmengine - INFO - Epoch(train) [22][1460/3757] lr: 1.000e-02 eta: 21:44:20 time: 0.198 data_time: 0.012 memory: 5148 grad_norm: 4.8783 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3364 loss: 2.3364 2022/06/27 23:24:25 - mmengine - INFO - Epoch(train) [22][1480/3757] lr: 1.000e-02 eta: 21:44:17 time: 0.667 data_time: 0.012 memory: 5148 grad_norm: 6.4059 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0490 loss: 2.0490 2022/06/27 23:24:29 - mmengine - INFO - Epoch(train) [22][1500/3757] lr: 1.000e-02 eta: 21:44:10 time: 0.203 data_time: 0.014 memory: 5148 grad_norm: 5.1847 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2088 loss: 2.2088 2022/06/27 23:24:35 - mmengine - INFO - Epoch(train) [22][1520/3757] lr: 1.000e-02 eta: 21:44:05 time: 0.203 data_time: 0.024 memory: 5148 grad_norm: 5.6593 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0515 loss: 2.0515 2022/06/27 23:24:41 - mmengine - INFO - Epoch(train) [22][1540/3757] lr: 1.000e-02 eta: 21:44:01 time: 0.560 data_time: 0.015 memory: 5148 grad_norm: 5.0370 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1831 loss: 2.1831 2022/06/27 23:24:46 - mmengine - INFO - Epoch(train) [22][1560/3757] lr: 1.000e-02 eta: 21:43:57 time: 0.545 data_time: 0.009 memory: 5148 grad_norm: 5.5301 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9139 loss: 1.9139 2022/06/27 23:24:51 - mmengine - INFO - Epoch(train) [22][1580/3757] lr: 1.000e-02 eta: 21:43:51 time: 0.195 data_time: 0.021 memory: 5148 grad_norm: 5.7121 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8819 loss: 1.8819 2022/06/27 23:24:56 - mmengine - INFO - Epoch(train) [22][1600/3757] lr: 1.000e-02 eta: 21:43:45 time: 0.208 data_time: 0.006 memory: 5148 grad_norm: 6.0442 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3258 loss: 2.3258 2022/06/27 23:25:01 - mmengine - INFO - Epoch(train) [22][1620/3757] lr: 1.000e-02 eta: 21:43:37 time: 0.195 data_time: 0.018 memory: 5148 grad_norm: 5.4297 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2190 loss: 2.2190 2022/06/27 23:25:08 - mmengine - INFO - Epoch(train) [22][1640/3757] lr: 1.000e-02 eta: 21:43:38 time: 0.201 data_time: 0.017 memory: 5148 grad_norm: 5.4786 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9147 loss: 1.9147 2022/06/27 23:25:12 - mmengine - INFO - Epoch(train) [22][1660/3757] lr: 1.000e-02 eta: 21:43:28 time: 0.200 data_time: 0.012 memory: 5148 grad_norm: 5.4489 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0177 loss: 2.0177 2022/06/27 23:25:16 - mmengine - INFO - Epoch(train) [22][1680/3757] lr: 1.000e-02 eta: 21:43:18 time: 0.198 data_time: 0.016 memory: 5148 grad_norm: 5.8168 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1363 loss: 2.1363 2022/06/27 23:25:21 - mmengine - INFO - Epoch(train) [22][1700/3757] lr: 1.000e-02 eta: 21:43:12 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 5.4492 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1570 loss: 2.1570 2022/06/27 23:25:27 - mmengine - INFO - Epoch(train) [22][1720/3757] lr: 1.000e-02 eta: 21:43:09 time: 0.206 data_time: 0.018 memory: 5148 grad_norm: 5.5465 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3237 loss: 2.3237 2022/06/27 23:25:32 - mmengine - INFO - Epoch(train) [22][1740/3757] lr: 1.000e-02 eta: 21:43:03 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 5.7172 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7939 loss: 1.7939 2022/06/27 23:25:37 - mmengine - INFO - Epoch(train) [22][1760/3757] lr: 1.000e-02 eta: 21:42:57 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 5.7922 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1768 loss: 2.1768 2022/06/27 23:25:43 - mmengine - INFO - Epoch(train) [22][1780/3757] lr: 1.000e-02 eta: 21:42:53 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 5.8216 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0538 loss: 2.0538 2022/06/27 23:25:49 - mmengine - INFO - Epoch(train) [22][1800/3757] lr: 1.000e-02 eta: 21:42:49 time: 0.214 data_time: 0.018 memory: 5148 grad_norm: 5.2911 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0553 loss: 2.0553 2022/06/27 23:25:54 - mmengine - INFO - Epoch(train) [22][1820/3757] lr: 1.000e-02 eta: 21:42:43 time: 0.194 data_time: 0.009 memory: 5148 grad_norm: 5.9914 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2994 loss: 2.2994 2022/06/27 23:25:59 - mmengine - INFO - Epoch(train) [22][1840/3757] lr: 1.000e-02 eta: 21:42:39 time: 0.206 data_time: 0.006 memory: 5148 grad_norm: 5.1603 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9588 loss: 1.9588 2022/06/27 23:26:05 - mmengine - INFO - Epoch(train) [22][1860/3757] lr: 1.000e-02 eta: 21:42:34 time: 0.808 data_time: 0.630 memory: 5148 grad_norm: 6.3695 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2866 loss: 2.2866 2022/06/27 23:26:10 - mmengine - INFO - Epoch(train) [22][1880/3757] lr: 1.000e-02 eta: 21:42:28 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 5.4892 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9369 loss: 1.9369 2022/06/27 23:26:15 - mmengine - INFO - Epoch(train) [22][1900/3757] lr: 1.000e-02 eta: 21:42:22 time: 0.484 data_time: 0.007 memory: 5148 grad_norm: 5.7190 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1094 loss: 2.1094 2022/06/27 23:26:21 - mmengine - INFO - Epoch(train) [22][1920/3757] lr: 1.000e-02 eta: 21:42:18 time: 0.606 data_time: 0.432 memory: 5148 grad_norm: 5.6188 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3323 loss: 2.3323 2022/06/27 23:26:26 - mmengine - INFO - Epoch(train) [22][1940/3757] lr: 1.000e-02 eta: 21:42:12 time: 0.335 data_time: 0.017 memory: 5148 grad_norm: 5.3321 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3306 loss: 2.3306 2022/06/27 23:26:31 - mmengine - INFO - Epoch(train) [22][1960/3757] lr: 1.000e-02 eta: 21:42:07 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 4.9875 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8169 loss: 1.8169 2022/06/27 23:26:36 - mmengine - INFO - Epoch(train) [22][1980/3757] lr: 1.000e-02 eta: 21:42:01 time: 0.219 data_time: 0.028 memory: 5148 grad_norm: 5.1837 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0322 loss: 2.0322 2022/06/27 23:26:42 - mmengine - INFO - Epoch(train) [22][2000/3757] lr: 1.000e-02 eta: 21:41:56 time: 0.195 data_time: 0.013 memory: 5148 grad_norm: 5.4241 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0310 loss: 2.0310 2022/06/27 23:26:47 - mmengine - INFO - Epoch(train) [22][2020/3757] lr: 1.000e-02 eta: 21:41:51 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 5.5032 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1577 loss: 2.1577 2022/06/27 23:26:52 - mmengine - INFO - Epoch(train) [22][2040/3757] lr: 1.000e-02 eta: 21:41:45 time: 0.224 data_time: 0.028 memory: 5148 grad_norm: 5.5218 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4157 loss: 2.4157 2022/06/27 23:26:57 - mmengine - INFO - Epoch(train) [22][2060/3757] lr: 1.000e-02 eta: 21:41:39 time: 0.203 data_time: 0.015 memory: 5148 grad_norm: 5.3288 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0548 loss: 2.0548 2022/06/27 23:27:03 - mmengine - INFO - Epoch(train) [22][2080/3757] lr: 1.000e-02 eta: 21:41:36 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.8286 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1283 loss: 2.1283 2022/06/27 23:27:09 - mmengine - INFO - Epoch(train) [22][2100/3757] lr: 1.000e-02 eta: 21:41:31 time: 0.243 data_time: 0.039 memory: 5148 grad_norm: 5.5262 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3524 loss: 2.3524 2022/06/27 23:27:10 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 23:27:14 - mmengine - INFO - Epoch(train) [22][2120/3757] lr: 1.000e-02 eta: 21:41:26 time: 0.216 data_time: 0.010 memory: 5148 grad_norm: 5.7244 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9633 loss: 1.9633 2022/06/27 23:27:20 - mmengine - INFO - Epoch(train) [22][2140/3757] lr: 1.000e-02 eta: 21:41:21 time: 0.192 data_time: 0.010 memory: 5148 grad_norm: 5.7083 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2353 loss: 2.2353 2022/06/27 23:27:24 - mmengine - INFO - Epoch(train) [22][2160/3757] lr: 1.000e-02 eta: 21:41:13 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 5.3161 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2483 loss: 2.2483 2022/06/27 23:27:30 - mmengine - INFO - Epoch(train) [22][2180/3757] lr: 1.000e-02 eta: 21:41:09 time: 0.203 data_time: 0.009 memory: 5148 grad_norm: 5.4670 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2594 loss: 2.2594 2022/06/27 23:27:35 - mmengine - INFO - Epoch(train) [22][2200/3757] lr: 1.000e-02 eta: 21:41:04 time: 0.200 data_time: 0.009 memory: 5148 grad_norm: 6.0842 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0246 loss: 2.0246 2022/06/27 23:27:40 - mmengine - INFO - Epoch(train) [22][2220/3757] lr: 1.000e-02 eta: 21:40:57 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 5.5693 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9980 loss: 1.9980 2022/06/27 23:27:45 - mmengine - INFO - Epoch(train) [22][2240/3757] lr: 1.000e-02 eta: 21:40:51 time: 0.207 data_time: 0.011 memory: 5148 grad_norm: 6.1389 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.0106 loss: 2.0106 2022/06/27 23:27:51 - mmengine - INFO - Epoch(train) [22][2260/3757] lr: 1.000e-02 eta: 21:40:48 time: 0.195 data_time: 0.006 memory: 5148 grad_norm: 5.5150 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8182 loss: 1.8182 2022/06/27 23:27:56 - mmengine - INFO - Epoch(train) [22][2280/3757] lr: 1.000e-02 eta: 21:40:41 time: 0.220 data_time: 0.010 memory: 5148 grad_norm: 4.9572 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0208 loss: 2.0208 2022/06/27 23:28:01 - mmengine - INFO - Epoch(train) [22][2300/3757] lr: 1.000e-02 eta: 21:40:36 time: 0.474 data_time: 0.006 memory: 5148 grad_norm: 5.5525 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0769 loss: 2.0769 2022/06/27 23:28:07 - mmengine - INFO - Epoch(train) [22][2320/3757] lr: 1.000e-02 eta: 21:40:32 time: 0.205 data_time: 0.006 memory: 5148 grad_norm: 5.0558 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2899 loss: 2.2899 2022/06/27 23:28:12 - mmengine - INFO - Epoch(train) [22][2340/3757] lr: 1.000e-02 eta: 21:40:25 time: 0.210 data_time: 0.006 memory: 5148 grad_norm: 5.6751 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2431 loss: 2.2431 2022/06/27 23:28:18 - mmengine - INFO - Epoch(train) [22][2360/3757] lr: 1.000e-02 eta: 21:40:21 time: 0.223 data_time: 0.010 memory: 5148 grad_norm: 5.7599 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9990 loss: 1.9990 2022/06/27 23:28:22 - mmengine - INFO - Epoch(train) [22][2380/3757] lr: 1.000e-02 eta: 21:40:15 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.2724 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.0885 loss: 2.0885 2022/06/27 23:28:28 - mmengine - INFO - Epoch(train) [22][2400/3757] lr: 1.000e-02 eta: 21:40:09 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.1918 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2278 loss: 2.2278 2022/06/27 23:28:32 - mmengine - INFO - Epoch(train) [22][2420/3757] lr: 1.000e-02 eta: 21:40:02 time: 0.253 data_time: 0.010 memory: 5148 grad_norm: 5.9872 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0374 loss: 2.0374 2022/06/27 23:28:38 - mmengine - INFO - Epoch(train) [22][2440/3757] lr: 1.000e-02 eta: 21:39:59 time: 0.198 data_time: 0.013 memory: 5148 grad_norm: 5.7701 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0294 loss: 2.0294 2022/06/27 23:28:43 - mmengine - INFO - Epoch(train) [22][2460/3757] lr: 1.000e-02 eta: 21:39:52 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.5356 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8858 loss: 1.8858 2022/06/27 23:28:49 - mmengine - INFO - Epoch(train) [22][2480/3757] lr: 1.000e-02 eta: 21:39:47 time: 0.235 data_time: 0.009 memory: 5148 grad_norm: 5.8608 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9076 loss: 1.9076 2022/06/27 23:28:54 - mmengine - INFO - Epoch(train) [22][2500/3757] lr: 1.000e-02 eta: 21:39:42 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 5.2550 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1602 loss: 2.1602 2022/06/27 23:28:59 - mmengine - INFO - Epoch(train) [22][2520/3757] lr: 1.000e-02 eta: 21:39:34 time: 0.189 data_time: 0.011 memory: 5148 grad_norm: 5.6780 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9648 loss: 1.9648 2022/06/27 23:29:04 - mmengine - INFO - Epoch(train) [22][2540/3757] lr: 1.000e-02 eta: 21:39:29 time: 0.219 data_time: 0.006 memory: 5148 grad_norm: 5.5598 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3160 loss: 2.3160 2022/06/27 23:29:09 - mmengine - INFO - Epoch(train) [22][2560/3757] lr: 1.000e-02 eta: 21:39:24 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 5.8224 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0521 loss: 2.0521 2022/06/27 23:29:14 - mmengine - INFO - Epoch(train) [22][2580/3757] lr: 1.000e-02 eta: 21:39:17 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.6243 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3736 loss: 2.3736 2022/06/27 23:29:19 - mmengine - INFO - Epoch(train) [22][2600/3757] lr: 1.000e-02 eta: 21:39:11 time: 0.207 data_time: 0.019 memory: 5148 grad_norm: 5.7052 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0597 loss: 2.0597 2022/06/27 23:29:25 - mmengine - INFO - Epoch(train) [22][2620/3757] lr: 1.000e-02 eta: 21:39:06 time: 0.199 data_time: 0.009 memory: 5148 grad_norm: 5.5352 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2447 loss: 2.2447 2022/06/27 23:29:30 - mmengine - INFO - Epoch(train) [22][2640/3757] lr: 1.000e-02 eta: 21:38:59 time: 0.194 data_time: 0.006 memory: 5148 grad_norm: 5.4324 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8302 loss: 1.8302 2022/06/27 23:29:35 - mmengine - INFO - Epoch(train) [22][2660/3757] lr: 1.000e-02 eta: 21:38:53 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.3119 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4664 loss: 2.4664 2022/06/27 23:29:40 - mmengine - INFO - Epoch(train) [22][2680/3757] lr: 1.000e-02 eta: 21:38:49 time: 0.196 data_time: 0.006 memory: 5148 grad_norm: 6.0716 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2943 loss: 2.2943 2022/06/27 23:29:45 - mmengine - INFO - Epoch(train) [22][2700/3757] lr: 1.000e-02 eta: 21:38:42 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 5.0862 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2143 loss: 2.2143 2022/06/27 23:29:51 - mmengine - INFO - Epoch(train) [22][2720/3757] lr: 1.000e-02 eta: 21:38:38 time: 0.411 data_time: 0.010 memory: 5148 grad_norm: 5.3559 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1556 loss: 2.1556 2022/06/27 23:29:56 - mmengine - INFO - Epoch(train) [22][2740/3757] lr: 1.000e-02 eta: 21:38:31 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 5.8012 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8643 loss: 1.8643 2022/06/27 23:30:01 - mmengine - INFO - Epoch(train) [22][2760/3757] lr: 1.000e-02 eta: 21:38:27 time: 0.217 data_time: 0.013 memory: 5148 grad_norm: 5.6107 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8247 loss: 1.8247 2022/06/27 23:30:07 - mmengine - INFO - Epoch(train) [22][2780/3757] lr: 1.000e-02 eta: 21:38:23 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 5.5143 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0221 loss: 2.0221 2022/06/27 23:30:12 - mmengine - INFO - Epoch(train) [22][2800/3757] lr: 1.000e-02 eta: 21:38:18 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 5.6801 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3770 loss: 2.3770 2022/06/27 23:30:18 - mmengine - INFO - Epoch(train) [22][2820/3757] lr: 1.000e-02 eta: 21:38:13 time: 0.201 data_time: 0.012 memory: 5148 grad_norm: 5.7497 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0847 loss: 2.0847 2022/06/27 23:30:23 - mmengine - INFO - Epoch(train) [22][2840/3757] lr: 1.000e-02 eta: 21:38:08 time: 0.225 data_time: 0.018 memory: 5148 grad_norm: 5.8846 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1544 loss: 2.1544 2022/06/27 23:30:29 - mmengine - INFO - Epoch(train) [22][2860/3757] lr: 1.000e-02 eta: 21:38:03 time: 0.207 data_time: 0.006 memory: 5148 grad_norm: 4.9650 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1659 loss: 2.1659 2022/06/27 23:30:33 - mmengine - INFO - Epoch(train) [22][2880/3757] lr: 1.000e-02 eta: 21:37:56 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 5.4433 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8698 loss: 1.8698 2022/06/27 23:30:39 - mmengine - INFO - Epoch(train) [22][2900/3757] lr: 1.000e-02 eta: 21:37:53 time: 0.197 data_time: 0.013 memory: 5148 grad_norm: 5.5000 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.2595 loss: 2.2595 2022/06/27 23:30:45 - mmengine - INFO - Epoch(train) [22][2920/3757] lr: 1.000e-02 eta: 21:37:49 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 7.2454 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2390 loss: 2.2390 2022/06/27 23:30:50 - mmengine - INFO - Epoch(train) [22][2940/3757] lr: 1.000e-02 eta: 21:37:43 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 5.1277 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3144 loss: 2.3144 2022/06/27 23:30:56 - mmengine - INFO - Epoch(train) [22][2960/3757] lr: 1.000e-02 eta: 21:37:38 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 6.3096 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.3057 loss: 2.3057 2022/06/27 23:31:01 - mmengine - INFO - Epoch(train) [22][2980/3757] lr: 1.000e-02 eta: 21:37:33 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.4549 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0013 loss: 2.0013 2022/06/27 23:31:06 - mmengine - INFO - Epoch(train) [22][3000/3757] lr: 1.000e-02 eta: 21:37:26 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.3125 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3183 loss: 2.3183 2022/06/27 23:31:11 - mmengine - INFO - Epoch(train) [22][3020/3757] lr: 1.000e-02 eta: 21:37:21 time: 0.193 data_time: 0.011 memory: 5148 grad_norm: 5.5725 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1647 loss: 2.1647 2022/06/27 23:31:16 - mmengine - INFO - Epoch(train) [22][3040/3757] lr: 1.000e-02 eta: 21:37:15 time: 0.189 data_time: 0.007 memory: 5148 grad_norm: 4.9774 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2373 loss: 2.2373 2022/06/27 23:31:22 - mmengine - INFO - Epoch(train) [22][3060/3757] lr: 1.000e-02 eta: 21:37:10 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.6571 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8127 loss: 1.8127 2022/06/27 23:31:27 - mmengine - INFO - Epoch(train) [22][3080/3757] lr: 1.000e-02 eta: 21:37:05 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.3408 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0611 loss: 2.0611 2022/06/27 23:31:32 - mmengine - INFO - Epoch(train) [22][3100/3757] lr: 1.000e-02 eta: 21:36:58 time: 0.202 data_time: 0.018 memory: 5148 grad_norm: 5.1767 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0117 loss: 2.0117 2022/06/27 23:31:32 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 23:31:37 - mmengine - INFO - Epoch(train) [22][3120/3757] lr: 1.000e-02 eta: 21:36:54 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 4.3450 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3746 loss: 2.3746 2022/06/27 23:31:42 - mmengine - INFO - Epoch(train) [22][3140/3757] lr: 1.000e-02 eta: 21:36:48 time: 0.208 data_time: 0.010 memory: 5148 grad_norm: 5.7081 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2016 loss: 2.2016 2022/06/27 23:31:48 - mmengine - INFO - Epoch(train) [22][3160/3757] lr: 1.000e-02 eta: 21:36:45 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 5.5751 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0899 loss: 2.0899 2022/06/27 23:31:53 - mmengine - INFO - Epoch(train) [22][3180/3757] lr: 1.000e-02 eta: 21:36:37 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 5.9895 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2847 loss: 2.2847 2022/06/27 23:31:58 - mmengine - INFO - Epoch(train) [22][3200/3757] lr: 1.000e-02 eta: 21:36:31 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 5.8200 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4548 loss: 2.4548 2022/06/27 23:32:04 - mmengine - INFO - Epoch(train) [22][3220/3757] lr: 1.000e-02 eta: 21:36:26 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 4.8683 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0988 loss: 2.0988 2022/06/27 23:32:09 - mmengine - INFO - Epoch(train) [22][3240/3757] lr: 1.000e-02 eta: 21:36:22 time: 0.204 data_time: 0.012 memory: 5148 grad_norm: 6.5419 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5820 loss: 2.5820 2022/06/27 23:32:14 - mmengine - INFO - Epoch(train) [22][3260/3757] lr: 1.000e-02 eta: 21:36:13 time: 0.209 data_time: 0.011 memory: 5148 grad_norm: 5.4434 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3802 loss: 2.3802 2022/06/27 23:32:19 - mmengine - INFO - Epoch(train) [22][3280/3757] lr: 1.000e-02 eta: 21:36:09 time: 0.209 data_time: 0.010 memory: 5148 grad_norm: 6.0457 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7713 loss: 2.7713 2022/06/27 23:32:24 - mmengine - INFO - Epoch(train) [22][3300/3757] lr: 1.000e-02 eta: 21:36:02 time: 0.196 data_time: 0.012 memory: 5148 grad_norm: 5.4810 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3439 loss: 2.3439 2022/06/27 23:32:30 - mmengine - INFO - Epoch(train) [22][3320/3757] lr: 1.000e-02 eta: 21:35:58 time: 0.207 data_time: 0.015 memory: 5148 grad_norm: 5.4020 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1973 loss: 2.1973 2022/06/27 23:32:35 - mmengine - INFO - Epoch(train) [22][3340/3757] lr: 1.000e-02 eta: 21:35:54 time: 0.194 data_time: 0.020 memory: 5148 grad_norm: 5.7464 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2733 loss: 2.2733 2022/06/27 23:32:41 - mmengine - INFO - Epoch(train) [22][3360/3757] lr: 1.000e-02 eta: 21:35:49 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 5.9401 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0412 loss: 2.0412 2022/06/27 23:32:46 - mmengine - INFO - Epoch(train) [22][3380/3757] lr: 1.000e-02 eta: 21:35:43 time: 0.201 data_time: 0.017 memory: 5148 grad_norm: 5.0987 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3499 loss: 2.3499 2022/06/27 23:32:51 - mmengine - INFO - Epoch(train) [22][3400/3757] lr: 1.000e-02 eta: 21:35:38 time: 0.199 data_time: 0.012 memory: 5148 grad_norm: 5.7922 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5719 loss: 2.5719 2022/06/27 23:32:56 - mmengine - INFO - Epoch(train) [22][3420/3757] lr: 1.000e-02 eta: 21:35:31 time: 0.200 data_time: 0.021 memory: 5148 grad_norm: 5.4994 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1267 loss: 2.1267 2022/06/27 23:33:02 - mmengine - INFO - Epoch(train) [22][3440/3757] lr: 1.000e-02 eta: 21:35:26 time: 0.206 data_time: 0.006 memory: 5148 grad_norm: 5.4346 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1605 loss: 2.1605 2022/06/27 23:33:08 - mmengine - INFO - Epoch(train) [22][3460/3757] lr: 1.000e-02 eta: 21:35:25 time: 0.203 data_time: 0.016 memory: 5148 grad_norm: 5.5511 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9536 loss: 1.9536 2022/06/27 23:33:12 - mmengine - INFO - Epoch(train) [22][3480/3757] lr: 1.000e-02 eta: 21:35:16 time: 0.196 data_time: 0.015 memory: 5148 grad_norm: 6.0334 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4745 loss: 2.4745 2022/06/27 23:33:17 - mmengine - INFO - Epoch(train) [22][3500/3757] lr: 1.000e-02 eta: 21:35:09 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 6.2711 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1053 loss: 2.1053 2022/06/27 23:33:23 - mmengine - INFO - Epoch(train) [22][3520/3757] lr: 1.000e-02 eta: 21:35:06 time: 0.197 data_time: 0.014 memory: 5148 grad_norm: 5.3405 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1677 loss: 2.1677 2022/06/27 23:33:28 - mmengine - INFO - Epoch(train) [22][3540/3757] lr: 1.000e-02 eta: 21:35:00 time: 0.211 data_time: 0.009 memory: 5148 grad_norm: 5.5072 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3002 loss: 2.3002 2022/06/27 23:33:33 - mmengine - INFO - Epoch(train) [22][3560/3757] lr: 1.000e-02 eta: 21:34:55 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 5.1669 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2046 loss: 2.2046 2022/06/27 23:33:39 - mmengine - INFO - Epoch(train) [22][3580/3757] lr: 1.000e-02 eta: 21:34:51 time: 0.213 data_time: 0.008 memory: 5148 grad_norm: 4.9830 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7604 loss: 1.7604 2022/06/27 23:33:44 - mmengine - INFO - Epoch(train) [22][3600/3757] lr: 1.000e-02 eta: 21:34:44 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.4846 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3615 loss: 2.3615 2022/06/27 23:33:49 - mmengine - INFO - Epoch(train) [22][3620/3757] lr: 1.000e-02 eta: 21:34:39 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 5.9508 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.9596 loss: 1.9596 2022/06/27 23:33:55 - mmengine - INFO - Epoch(train) [22][3640/3757] lr: 1.000e-02 eta: 21:34:36 time: 0.236 data_time: 0.007 memory: 5148 grad_norm: 5.7694 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9199 loss: 1.9199 2022/06/27 23:34:00 - mmengine - INFO - Epoch(train) [22][3660/3757] lr: 1.000e-02 eta: 21:34:29 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.7155 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1653 loss: 2.1653 2022/06/27 23:34:06 - mmengine - INFO - Epoch(train) [22][3680/3757] lr: 1.000e-02 eta: 21:34:27 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 5.6215 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0461 loss: 2.0461 2022/06/27 23:34:11 - mmengine - INFO - Epoch(train) [22][3700/3757] lr: 1.000e-02 eta: 21:34:21 time: 0.197 data_time: 0.015 memory: 5148 grad_norm: 5.5730 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8576 loss: 1.8576 2022/06/27 23:34:16 - mmengine - INFO - Epoch(train) [22][3720/3757] lr: 1.000e-02 eta: 21:34:14 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 4.9537 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8731 loss: 1.8731 2022/06/27 23:34:22 - mmengine - INFO - Epoch(train) [22][3740/3757] lr: 1.000e-02 eta: 21:34:09 time: 0.206 data_time: 0.006 memory: 5148 grad_norm: 5.0570 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8589 loss: 1.8589 2022/06/27 23:34:25 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 23:34:32 - mmengine - INFO - Epoch(val) [22][20/310] eta: 0:01:18 time: 0.558 data_time: 0.477 memory: 5148 2022/06/27 23:34:37 - mmengine - INFO - Epoch(val) [22][40/310] eta: 0:00:57 time: 0.083 data_time: 0.005 memory: 1367 2022/06/27 23:34:42 - mmengine - INFO - Epoch(val) [22][60/310] eta: 0:01:00 time: 0.255 data_time: 0.178 memory: 1367 2022/06/27 23:34:47 - mmengine - INFO - Epoch(val) [22][80/310] eta: 0:00:58 time: 0.079 data_time: 0.008 memory: 1367 2022/06/27 23:34:53 - mmengine - INFO - Epoch(val) [22][100/310] eta: 0:00:51 time: 0.144 data_time: 0.069 memory: 1367 2022/06/27 23:34:57 - mmengine - INFO - Epoch(val) [22][120/310] eta: 0:00:47 time: 0.192 data_time: 0.116 memory: 1367 2022/06/27 23:35:04 - mmengine - INFO - Epoch(val) [22][140/310] eta: 0:00:52 time: 0.668 data_time: 0.592 memory: 1367 2022/06/27 23:35:09 - mmengine - INFO - Epoch(val) [22][160/310] eta: 0:00:37 time: 0.333 data_time: 0.254 memory: 1367 2022/06/27 23:35:15 - mmengine - INFO - Epoch(val) [22][180/310] eta: 0:00:46 time: 0.797 data_time: 0.724 memory: 1367 2022/06/27 23:35:19 - mmengine - INFO - Epoch(val) [22][200/310] eta: 0:00:24 time: 0.076 data_time: 0.005 memory: 1367 2022/06/27 23:35:25 - mmengine - INFO - Epoch(val) [22][220/310] eta: 0:00:31 time: 0.089 data_time: 0.008 memory: 1367 2022/06/27 23:35:30 - mmengine - INFO - Epoch(val) [22][240/310] eta: 0:00:15 time: 0.080 data_time: 0.009 memory: 1367 2022/06/27 23:35:35 - mmengine - INFO - Epoch(val) [22][260/310] eta: 0:00:16 time: 0.085 data_time: 0.009 memory: 1367 2022/06/27 23:35:40 - mmengine - INFO - Epoch(val) [22][280/310] eta: 0:00:06 time: 0.078 data_time: 0.006 memory: 1367 2022/06/27 23:35:46 - mmengine - INFO - Epoch(val) [22][300/310] eta: 0:00:03 time: 0.209 data_time: 0.136 memory: 1367 2022/06/27 23:35:49 - mmengine - INFO - Epoch(val) [22][310/310] acc/top1: 0.5312 acc/top5: 0.7795 acc/mean1: 0.5311 2022/06/27 23:35:58 - mmengine - INFO - Epoch(train) [23][20/3757] lr: 1.000e-02 eta: 21:34:02 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.8044 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9400 loss: 1.9400 2022/06/27 23:36:03 - mmengine - INFO - Epoch(train) [23][40/3757] lr: 1.000e-02 eta: 21:33:57 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.1388 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0709 loss: 2.0709 2022/06/27 23:36:08 - mmengine - INFO - Epoch(train) [23][60/3757] lr: 1.000e-02 eta: 21:33:51 time: 0.191 data_time: 0.010 memory: 5148 grad_norm: 5.5141 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1296 loss: 2.1296 2022/06/27 23:36:14 - mmengine - INFO - Epoch(train) [23][80/3757] lr: 1.000e-02 eta: 21:33:47 time: 0.189 data_time: 0.010 memory: 5148 grad_norm: 5.9300 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0574 loss: 2.0574 2022/06/27 23:36:20 - mmengine - INFO - Epoch(train) [23][100/3757] lr: 1.000e-02 eta: 21:33:43 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 4.9599 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0269 loss: 2.0269 2022/06/27 23:36:24 - mmengine - INFO - Epoch(train) [23][120/3757] lr: 1.000e-02 eta: 21:33:35 time: 0.193 data_time: 0.006 memory: 5148 grad_norm: 5.5325 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2252 loss: 2.2252 2022/06/27 23:36:30 - mmengine - INFO - Epoch(train) [23][140/3757] lr: 1.000e-02 eta: 21:33:31 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.2238 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7997 loss: 1.7997 2022/06/27 23:36:36 - mmengine - INFO - Epoch(train) [23][160/3757] lr: 1.000e-02 eta: 21:33:27 time: 0.205 data_time: 0.026 memory: 5148 grad_norm: 5.8726 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2641 loss: 2.2641 2022/06/27 23:36:40 - mmengine - INFO - Epoch(train) [23][180/3757] lr: 1.000e-02 eta: 21:33:18 time: 0.190 data_time: 0.007 memory: 5148 grad_norm: 5.4718 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9460 loss: 1.9460 2022/06/27 23:36:46 - mmengine - INFO - Epoch(train) [23][200/3757] lr: 1.000e-02 eta: 21:33:14 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 5.6066 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0145 loss: 2.0145 2022/06/27 23:36:51 - mmengine - INFO - Epoch(train) [23][220/3757] lr: 1.000e-02 eta: 21:33:10 time: 0.198 data_time: 0.009 memory: 5148 grad_norm: 5.3410 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4068 loss: 2.4068 2022/06/27 23:36:56 - mmengine - INFO - Epoch(train) [23][240/3757] lr: 1.000e-02 eta: 21:33:01 time: 0.205 data_time: 0.006 memory: 5148 grad_norm: 4.7622 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.9417 loss: 1.9417 2022/06/27 23:37:01 - mmengine - INFO - Epoch(train) [23][260/3757] lr: 1.000e-02 eta: 21:32:57 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.5832 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9557 loss: 1.9557 2022/06/27 23:37:07 - mmengine - INFO - Epoch(train) [23][280/3757] lr: 1.000e-02 eta: 21:32:52 time: 0.207 data_time: 0.006 memory: 5148 grad_norm: 5.3751 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8230 loss: 1.8230 2022/06/27 23:37:11 - mmengine - INFO - Epoch(train) [23][300/3757] lr: 1.000e-02 eta: 21:32:44 time: 0.195 data_time: 0.009 memory: 5148 grad_norm: 6.0004 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1874 loss: 2.1874 2022/06/27 23:37:17 - mmengine - INFO - Epoch(train) [23][320/3757] lr: 1.000e-02 eta: 21:32:40 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 5.1900 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1620 loss: 2.1620 2022/06/27 23:37:23 - mmengine - INFO - Epoch(train) [23][340/3757] lr: 1.000e-02 eta: 21:32:36 time: 0.197 data_time: 0.016 memory: 5148 grad_norm: 5.3624 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7766 loss: 1.7766 2022/06/27 23:37:24 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 23:37:28 - mmengine - INFO - Epoch(train) [23][360/3757] lr: 1.000e-02 eta: 21:32:31 time: 0.200 data_time: 0.009 memory: 5148 grad_norm: 5.1732 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0006 loss: 2.0006 2022/06/27 23:37:33 - mmengine - INFO - Epoch(train) [23][380/3757] lr: 1.000e-02 eta: 21:32:25 time: 0.201 data_time: 0.009 memory: 5148 grad_norm: 5.0180 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2866 loss: 2.2866 2022/06/27 23:37:38 - mmengine - INFO - Epoch(train) [23][400/3757] lr: 1.000e-02 eta: 21:32:20 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 6.1455 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1092 loss: 2.1092 2022/06/27 23:37:43 - mmengine - INFO - Epoch(train) [23][420/3757] lr: 1.000e-02 eta: 21:32:13 time: 0.209 data_time: 0.009 memory: 5148 grad_norm: 5.9320 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0335 loss: 2.0335 2022/06/27 23:37:49 - mmengine - INFO - Epoch(train) [23][440/3757] lr: 1.000e-02 eta: 21:32:08 time: 0.192 data_time: 0.012 memory: 5148 grad_norm: 5.0478 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5115 loss: 2.5115 2022/06/27 23:37:55 - mmengine - INFO - Epoch(train) [23][460/3757] lr: 1.000e-02 eta: 21:32:05 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.6086 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1061 loss: 2.1061 2022/06/27 23:38:00 - mmengine - INFO - Epoch(train) [23][480/3757] lr: 1.000e-02 eta: 21:31:59 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.5059 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5882 loss: 1.5882 2022/06/27 23:38:05 - mmengine - INFO - Epoch(train) [23][500/3757] lr: 1.000e-02 eta: 21:31:53 time: 0.202 data_time: 0.013 memory: 5148 grad_norm: 6.5811 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1559 loss: 2.1559 2022/06/27 23:38:10 - mmengine - INFO - Epoch(train) [23][520/3757] lr: 1.000e-02 eta: 21:31:48 time: 0.199 data_time: 0.022 memory: 5148 grad_norm: 5.4169 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0135 loss: 2.0135 2022/06/27 23:38:15 - mmengine - INFO - Epoch(train) [23][540/3757] lr: 1.000e-02 eta: 21:31:42 time: 0.210 data_time: 0.010 memory: 5148 grad_norm: 5.5017 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1461 loss: 2.1461 2022/06/27 23:38:21 - mmengine - INFO - Epoch(train) [23][560/3757] lr: 1.000e-02 eta: 21:31:38 time: 0.190 data_time: 0.011 memory: 5148 grad_norm: 5.2293 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1294 loss: 2.1294 2022/06/27 23:38:26 - mmengine - INFO - Epoch(train) [23][580/3757] lr: 1.000e-02 eta: 21:31:32 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 5.5492 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7004 loss: 1.7004 2022/06/27 23:38:31 - mmengine - INFO - Epoch(train) [23][600/3757] lr: 1.000e-02 eta: 21:31:26 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 6.5428 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8533 loss: 1.8533 2022/06/27 23:38:37 - mmengine - INFO - Epoch(train) [23][620/3757] lr: 1.000e-02 eta: 21:31:22 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.7261 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8396 loss: 1.8396 2022/06/27 23:38:42 - mmengine - INFO - Epoch(train) [23][640/3757] lr: 1.000e-02 eta: 21:31:16 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.4328 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1314 loss: 2.1314 2022/06/27 23:38:47 - mmengine - INFO - Epoch(train) [23][660/3757] lr: 1.000e-02 eta: 21:31:09 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 5.4544 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3256 loss: 2.3256 2022/06/27 23:38:52 - mmengine - INFO - Epoch(train) [23][680/3757] lr: 1.000e-02 eta: 21:31:03 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.7927 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5636 loss: 2.5636 2022/06/27 23:38:58 - mmengine - INFO - Epoch(train) [23][700/3757] lr: 1.000e-02 eta: 21:30:59 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 5.5222 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9647 loss: 1.9647 2022/06/27 23:39:02 - mmengine - INFO - Epoch(train) [23][720/3757] lr: 1.000e-02 eta: 21:30:50 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 6.1357 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4627 loss: 2.4627 2022/06/27 23:39:08 - mmengine - INFO - Epoch(train) [23][740/3757] lr: 1.000e-02 eta: 21:30:47 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 4.5394 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7419 loss: 1.7419 2022/06/27 23:39:13 - mmengine - INFO - Epoch(train) [23][760/3757] lr: 1.000e-02 eta: 21:30:42 time: 0.190 data_time: 0.007 memory: 5148 grad_norm: 5.4897 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9611 loss: 1.9611 2022/06/27 23:39:18 - mmengine - INFO - Epoch(train) [23][780/3757] lr: 1.000e-02 eta: 21:30:36 time: 0.202 data_time: 0.012 memory: 5148 grad_norm: 5.5886 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2980 loss: 2.2980 2022/06/27 23:39:24 - mmengine - INFO - Epoch(train) [23][800/3757] lr: 1.000e-02 eta: 21:30:31 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 5.9259 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8831 loss: 1.8831 2022/06/27 23:39:29 - mmengine - INFO - Epoch(train) [23][820/3757] lr: 1.000e-02 eta: 21:30:27 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.2719 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2074 loss: 2.2074 2022/06/27 23:39:34 - mmengine - INFO - Epoch(train) [23][840/3757] lr: 1.000e-02 eta: 21:30:20 time: 0.201 data_time: 0.019 memory: 5148 grad_norm: 5.8443 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9503 loss: 1.9503 2022/06/27 23:39:40 - mmengine - INFO - Epoch(train) [23][860/3757] lr: 1.000e-02 eta: 21:30:15 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 6.0865 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6877 loss: 1.6877 2022/06/27 23:39:45 - mmengine - INFO - Epoch(train) [23][880/3757] lr: 1.000e-02 eta: 21:30:11 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 6.1957 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0096 loss: 2.0096 2022/06/27 23:39:50 - mmengine - INFO - Epoch(train) [23][900/3757] lr: 1.000e-02 eta: 21:30:04 time: 0.191 data_time: 0.008 memory: 5148 grad_norm: 5.6848 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7243 loss: 1.7243 2022/06/27 23:39:55 - mmengine - INFO - Epoch(train) [23][920/3757] lr: 1.000e-02 eta: 21:29:58 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 5.3478 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7483 loss: 1.7483 2022/06/27 23:40:01 - mmengine - INFO - Epoch(train) [23][940/3757] lr: 1.000e-02 eta: 21:29:53 time: 0.202 data_time: 0.013 memory: 5148 grad_norm: 5.4303 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6307 loss: 2.6307 2022/06/27 23:40:06 - mmengine - INFO - Epoch(train) [23][960/3757] lr: 1.000e-02 eta: 21:29:47 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 5.6467 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9584 loss: 1.9584 2022/06/27 23:40:11 - mmengine - INFO - Epoch(train) [23][980/3757] lr: 1.000e-02 eta: 21:29:42 time: 0.192 data_time: 0.011 memory: 5148 grad_norm: 4.9539 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1167 loss: 2.1167 2022/06/27 23:40:16 - mmengine - INFO - Epoch(train) [23][1000/3757] lr: 1.000e-02 eta: 21:29:36 time: 0.196 data_time: 0.019 memory: 5148 grad_norm: 5.9225 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1236 loss: 2.1236 2022/06/27 23:40:21 - mmengine - INFO - Epoch(train) [23][1020/3757] lr: 1.000e-02 eta: 21:29:30 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 5.4085 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1051 loss: 2.1051 2022/06/27 23:40:27 - mmengine - INFO - Epoch(train) [23][1040/3757] lr: 1.000e-02 eta: 21:29:25 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 6.4632 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.4188 loss: 2.4188 2022/06/27 23:40:32 - mmengine - INFO - Epoch(train) [23][1060/3757] lr: 1.000e-02 eta: 21:29:20 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.7366 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3521 loss: 2.3521 2022/06/27 23:40:37 - mmengine - INFO - Epoch(train) [23][1080/3757] lr: 1.000e-02 eta: 21:29:13 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.3859 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9910 loss: 1.9910 2022/06/27 23:40:42 - mmengine - INFO - Epoch(train) [23][1100/3757] lr: 1.000e-02 eta: 21:29:07 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 6.2878 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2636 loss: 2.2636 2022/06/27 23:40:48 - mmengine - INFO - Epoch(train) [23][1120/3757] lr: 1.000e-02 eta: 21:29:04 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 6.1058 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0449 loss: 2.0449 2022/06/27 23:40:52 - mmengine - INFO - Epoch(train) [23][1140/3757] lr: 1.000e-02 eta: 21:28:56 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.1475 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3255 loss: 2.3255 2022/06/27 23:40:58 - mmengine - INFO - Epoch(train) [23][1160/3757] lr: 1.000e-02 eta: 21:28:53 time: 0.196 data_time: 0.009 memory: 5148 grad_norm: 6.5142 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1590 loss: 2.1590 2022/06/27 23:41:04 - mmengine - INFO - Epoch(train) [23][1180/3757] lr: 1.000e-02 eta: 21:28:49 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 5.2531 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3044 loss: 2.3044 2022/06/27 23:41:09 - mmengine - INFO - Epoch(train) [23][1200/3757] lr: 1.000e-02 eta: 21:28:43 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 5.9301 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1113 loss: 2.1113 2022/06/27 23:41:14 - mmengine - INFO - Epoch(train) [23][1220/3757] lr: 1.000e-02 eta: 21:28:37 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.8710 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6298 loss: 2.6298 2022/06/27 23:41:20 - mmengine - INFO - Epoch(train) [23][1240/3757] lr: 1.000e-02 eta: 21:28:33 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 6.4108 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6657 loss: 2.6657 2022/06/27 23:41:25 - mmengine - INFO - Epoch(train) [23][1260/3757] lr: 1.000e-02 eta: 21:28:28 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 5.4822 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0218 loss: 2.0218 2022/06/27 23:41:31 - mmengine - INFO - Epoch(train) [23][1280/3757] lr: 1.000e-02 eta: 21:28:23 time: 0.196 data_time: 0.006 memory: 5148 grad_norm: 4.9119 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1888 loss: 2.1888 2022/06/27 23:41:37 - mmengine - INFO - Epoch(train) [23][1300/3757] lr: 1.000e-02 eta: 21:28:20 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 6.6639 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3780 loss: 2.3780 2022/06/27 23:41:41 - mmengine - INFO - Epoch(train) [23][1320/3757] lr: 1.000e-02 eta: 21:28:11 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 5.5567 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9479 loss: 1.9479 2022/06/27 23:41:47 - mmengine - INFO - Epoch(train) [23][1340/3757] lr: 1.000e-02 eta: 21:28:07 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 4.9590 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1671 loss: 2.1671 2022/06/27 23:41:48 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 23:41:52 - mmengine - INFO - Epoch(train) [23][1360/3757] lr: 1.000e-02 eta: 21:28:01 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 5.2377 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3663 loss: 2.3663 2022/06/27 23:41:57 - mmengine - INFO - Epoch(train) [23][1380/3757] lr: 1.000e-02 eta: 21:27:55 time: 0.204 data_time: 0.012 memory: 5148 grad_norm: 5.9042 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1678 loss: 2.1678 2022/06/27 23:42:02 - mmengine - INFO - Epoch(train) [23][1400/3757] lr: 1.000e-02 eta: 21:27:50 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 5.4351 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1525 loss: 2.1525 2022/06/27 23:42:08 - mmengine - INFO - Epoch(train) [23][1420/3757] lr: 1.000e-02 eta: 21:27:45 time: 0.226 data_time: 0.009 memory: 5148 grad_norm: 5.7578 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1273 loss: 2.1273 2022/06/27 23:42:12 - mmengine - INFO - Epoch(train) [23][1440/3757] lr: 1.000e-02 eta: 21:27:38 time: 0.192 data_time: 0.010 memory: 5148 grad_norm: 5.5797 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1160 loss: 2.1160 2022/06/27 23:42:18 - mmengine - INFO - Epoch(train) [23][1460/3757] lr: 1.000e-02 eta: 21:27:35 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.7276 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6570 loss: 1.6570 2022/06/27 23:42:24 - mmengine - INFO - Epoch(train) [23][1480/3757] lr: 1.000e-02 eta: 21:27:31 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 5.3996 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0023 loss: 2.0023 2022/06/27 23:42:29 - mmengine - INFO - Epoch(train) [23][1500/3757] lr: 1.000e-02 eta: 21:27:25 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 6.3781 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7102 loss: 1.7102 2022/06/27 23:42:34 - mmengine - INFO - Epoch(train) [23][1520/3757] lr: 1.000e-02 eta: 21:27:20 time: 0.189 data_time: 0.009 memory: 5148 grad_norm: 6.1667 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7277 loss: 1.7277 2022/06/27 23:42:40 - mmengine - INFO - Epoch(train) [23][1540/3757] lr: 1.000e-02 eta: 21:27:16 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.2056 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1827 loss: 2.1827 2022/06/27 23:42:45 - mmengine - INFO - Epoch(train) [23][1560/3757] lr: 1.000e-02 eta: 21:27:10 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 5.4080 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1482 loss: 2.1482 2022/06/27 23:42:50 - mmengine - INFO - Epoch(train) [23][1580/3757] lr: 1.000e-02 eta: 21:27:03 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.5262 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9077 loss: 1.9077 2022/06/27 23:42:55 - mmengine - INFO - Epoch(train) [23][1600/3757] lr: 1.000e-02 eta: 21:26:57 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.5728 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8407 loss: 1.8407 2022/06/27 23:43:01 - mmengine - INFO - Epoch(train) [23][1620/3757] lr: 1.000e-02 eta: 21:26:53 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 5.0353 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1701 loss: 2.1701 2022/06/27 23:43:06 - mmengine - INFO - Epoch(train) [23][1640/3757] lr: 1.000e-02 eta: 21:26:46 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 4.9798 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0102 loss: 2.0102 2022/06/27 23:43:11 - mmengine - INFO - Epoch(train) [23][1660/3757] lr: 1.000e-02 eta: 21:26:41 time: 0.202 data_time: 0.014 memory: 5148 grad_norm: 4.9146 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1979 loss: 2.1979 2022/06/27 23:43:16 - mmengine - INFO - Epoch(train) [23][1680/3757] lr: 1.000e-02 eta: 21:26:34 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.2464 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9016 loss: 1.9016 2022/06/27 23:43:22 - mmengine - INFO - Epoch(train) [23][1700/3757] lr: 1.000e-02 eta: 21:26:32 time: 0.195 data_time: 0.006 memory: 5148 grad_norm: 4.9269 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2460 loss: 2.2460 2022/06/27 23:43:27 - mmengine - INFO - Epoch(train) [23][1720/3757] lr: 1.000e-02 eta: 21:26:25 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 6.3503 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5058 loss: 2.5058 2022/06/27 23:43:32 - mmengine - INFO - Epoch(train) [23][1740/3757] lr: 1.000e-02 eta: 21:26:20 time: 0.214 data_time: 0.008 memory: 5148 grad_norm: 5.1534 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1002 loss: 2.1002 2022/06/27 23:43:39 - mmengine - INFO - Epoch(train) [23][1760/3757] lr: 1.000e-02 eta: 21:26:17 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 4.6842 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0639 loss: 2.0639 2022/06/27 23:43:44 - mmengine - INFO - Epoch(train) [23][1780/3757] lr: 1.000e-02 eta: 21:26:12 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 5.3317 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5194 loss: 2.5194 2022/06/27 23:43:49 - mmengine - INFO - Epoch(train) [23][1800/3757] lr: 1.000e-02 eta: 21:26:05 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 5.3815 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5513 loss: 2.5513 2022/06/27 23:43:54 - mmengine - INFO - Epoch(train) [23][1820/3757] lr: 1.000e-02 eta: 21:26:01 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 5.3968 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9055 loss: 1.9055 2022/06/27 23:44:00 - mmengine - INFO - Epoch(train) [23][1840/3757] lr: 1.000e-02 eta: 21:25:56 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 4.7798 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5712 loss: 2.5712 2022/06/27 23:44:05 - mmengine - INFO - Epoch(train) [23][1860/3757] lr: 1.000e-02 eta: 21:25:50 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.3691 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9586 loss: 1.9586 2022/06/27 23:44:11 - mmengine - INFO - Epoch(train) [23][1880/3757] lr: 1.000e-02 eta: 21:25:47 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.7416 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0877 loss: 2.0877 2022/06/27 23:44:15 - mmengine - INFO - Epoch(train) [23][1900/3757] lr: 1.000e-02 eta: 21:25:40 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.8932 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4203 loss: 2.4203 2022/06/27 23:44:21 - mmengine - INFO - Epoch(train) [23][1920/3757] lr: 1.000e-02 eta: 21:25:35 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 5.9025 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8449 loss: 1.8449 2022/06/27 23:44:26 - mmengine - INFO - Epoch(train) [23][1940/3757] lr: 1.000e-02 eta: 21:25:30 time: 0.210 data_time: 0.015 memory: 5148 grad_norm: 5.5988 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5124 loss: 2.5124 2022/06/27 23:44:31 - mmengine - INFO - Epoch(train) [23][1960/3757] lr: 1.000e-02 eta: 21:25:24 time: 0.288 data_time: 0.006 memory: 5148 grad_norm: 5.7103 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5512 loss: 2.5512 2022/06/27 23:44:37 - mmengine - INFO - Epoch(train) [23][1980/3757] lr: 1.000e-02 eta: 21:25:18 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 5.5544 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0948 loss: 2.0948 2022/06/27 23:44:42 - mmengine - INFO - Epoch(train) [23][2000/3757] lr: 1.000e-02 eta: 21:25:14 time: 0.206 data_time: 0.006 memory: 5148 grad_norm: 5.7681 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2331 loss: 2.2331 2022/06/27 23:44:47 - mmengine - INFO - Epoch(train) [23][2020/3757] lr: 1.000e-02 eta: 21:25:07 time: 0.823 data_time: 0.011 memory: 5148 grad_norm: 6.1356 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0167 loss: 2.0167 2022/06/27 23:44:52 - mmengine - INFO - Epoch(train) [23][2040/3757] lr: 1.000e-02 eta: 21:25:00 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.2848 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1152 loss: 2.1152 2022/06/27 23:44:57 - mmengine - INFO - Epoch(train) [23][2060/3757] lr: 1.000e-02 eta: 21:24:55 time: 0.190 data_time: 0.007 memory: 5148 grad_norm: 5.5623 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9865 loss: 1.9865 2022/06/27 23:45:02 - mmengine - INFO - Epoch(train) [23][2080/3757] lr: 1.000e-02 eta: 21:24:49 time: 0.266 data_time: 0.009 memory: 5148 grad_norm: 6.0406 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3106 loss: 2.3106 2022/06/27 23:45:08 - mmengine - INFO - Epoch(train) [23][2100/3757] lr: 1.000e-02 eta: 21:24:45 time: 0.218 data_time: 0.007 memory: 5148 grad_norm: 5.9294 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7523 loss: 1.7523 2022/06/27 23:45:13 - mmengine - INFO - Epoch(train) [23][2120/3757] lr: 1.000e-02 eta: 21:24:40 time: 0.207 data_time: 0.006 memory: 5148 grad_norm: 4.9488 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4720 loss: 2.4720 2022/06/27 23:45:19 - mmengine - INFO - Epoch(train) [23][2140/3757] lr: 1.000e-02 eta: 21:24:36 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 5.8078 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8740 loss: 1.8740 2022/06/27 23:45:24 - mmengine - INFO - Epoch(train) [23][2160/3757] lr: 1.000e-02 eta: 21:24:30 time: 0.217 data_time: 0.006 memory: 5148 grad_norm: 5.2831 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0972 loss: 2.0972 2022/06/27 23:45:30 - mmengine - INFO - Epoch(train) [23][2180/3757] lr: 1.000e-02 eta: 21:24:25 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 4.9727 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2347 loss: 2.2347 2022/06/27 23:45:35 - mmengine - INFO - Epoch(train) [23][2200/3757] lr: 1.000e-02 eta: 21:24:21 time: 0.190 data_time: 0.010 memory: 5148 grad_norm: 5.6246 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1217 loss: 2.1217 2022/06/27 23:45:41 - mmengine - INFO - Epoch(train) [23][2220/3757] lr: 1.000e-02 eta: 21:24:18 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 6.1372 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8790 loss: 1.8790 2022/06/27 23:45:46 - mmengine - INFO - Epoch(train) [23][2240/3757] lr: 1.000e-02 eta: 21:24:10 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 5.6595 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3946 loss: 2.3946 2022/06/27 23:45:51 - mmengine - INFO - Epoch(train) [23][2260/3757] lr: 1.000e-02 eta: 21:24:06 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.8317 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0835 loss: 2.0835 2022/06/27 23:45:56 - mmengine - INFO - Epoch(train) [23][2280/3757] lr: 1.000e-02 eta: 21:23:59 time: 0.210 data_time: 0.017 memory: 5148 grad_norm: 5.8639 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8518 loss: 1.8518 2022/06/27 23:46:02 - mmengine - INFO - Epoch(train) [23][2300/3757] lr: 1.000e-02 eta: 21:23:54 time: 0.192 data_time: 0.018 memory: 5148 grad_norm: 5.6531 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4095 loss: 2.4095 2022/06/27 23:46:08 - mmengine - INFO - Epoch(train) [23][2320/3757] lr: 1.000e-02 eta: 21:23:51 time: 0.205 data_time: 0.009 memory: 5148 grad_norm: 5.0766 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6481 loss: 2.6481 2022/06/27 23:46:12 - mmengine - INFO - Epoch(train) [23][2340/3757] lr: 1.000e-02 eta: 21:23:44 time: 0.207 data_time: 0.013 memory: 5148 grad_norm: 5.0948 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2603 loss: 2.2603 2022/06/27 23:46:14 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 23:46:18 - mmengine - INFO - Epoch(train) [23][2360/3757] lr: 1.000e-02 eta: 21:23:41 time: 0.202 data_time: 0.014 memory: 5148 grad_norm: 5.6224 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2610 loss: 2.2610 2022/06/27 23:46:24 - mmengine - INFO - Epoch(train) [23][2380/3757] lr: 1.000e-02 eta: 21:23:36 time: 0.207 data_time: 0.012 memory: 5148 grad_norm: 5.4632 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2663 loss: 2.2663 2022/06/27 23:46:28 - mmengine - INFO - Epoch(train) [23][2400/3757] lr: 1.000e-02 eta: 21:23:28 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.1264 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0073 loss: 2.0073 2022/06/27 23:46:34 - mmengine - INFO - Epoch(train) [23][2420/3757] lr: 1.000e-02 eta: 21:23:24 time: 0.207 data_time: 0.027 memory: 5148 grad_norm: 5.6036 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8854 loss: 1.8854 2022/06/27 23:46:40 - mmengine - INFO - Epoch(train) [23][2440/3757] lr: 1.000e-02 eta: 21:23:20 time: 0.235 data_time: 0.051 memory: 5148 grad_norm: 4.8740 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4000 loss: 2.4000 2022/06/27 23:46:45 - mmengine - INFO - Epoch(train) [23][2460/3757] lr: 1.000e-02 eta: 21:23:13 time: 0.203 data_time: 0.013 memory: 5148 grad_norm: 5.5625 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9218 loss: 1.9218 2022/06/27 23:46:50 - mmengine - INFO - Epoch(train) [23][2480/3757] lr: 1.000e-02 eta: 21:23:10 time: 0.211 data_time: 0.028 memory: 5148 grad_norm: 5.8351 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4719 loss: 1.4719 2022/06/27 23:46:56 - mmengine - INFO - Epoch(train) [23][2500/3757] lr: 1.000e-02 eta: 21:23:04 time: 0.195 data_time: 0.012 memory: 5148 grad_norm: 5.6846 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8826 loss: 1.8826 2022/06/27 23:47:01 - mmengine - INFO - Epoch(train) [23][2520/3757] lr: 1.000e-02 eta: 21:22:57 time: 0.199 data_time: 0.021 memory: 5148 grad_norm: 5.2110 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0543 loss: 2.0543 2022/06/27 23:47:06 - mmengine - INFO - Epoch(train) [23][2540/3757] lr: 1.000e-02 eta: 21:22:53 time: 0.203 data_time: 0.026 memory: 5148 grad_norm: 5.5313 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1453 loss: 2.1453 2022/06/27 23:47:12 - mmengine - INFO - Epoch(train) [23][2560/3757] lr: 1.000e-02 eta: 21:22:49 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 5.4004 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2134 loss: 2.2134 2022/06/27 23:47:16 - mmengine - INFO - Epoch(train) [23][2580/3757] lr: 1.000e-02 eta: 21:22:41 time: 0.208 data_time: 0.021 memory: 5148 grad_norm: 5.7854 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8170 loss: 1.8170 2022/06/27 23:47:22 - mmengine - INFO - Epoch(train) [23][2600/3757] lr: 1.000e-02 eta: 21:22:38 time: 0.211 data_time: 0.025 memory: 5148 grad_norm: 5.4607 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0343 loss: 2.0343 2022/06/27 23:47:27 - mmengine - INFO - Epoch(train) [23][2620/3757] lr: 1.000e-02 eta: 21:22:32 time: 0.212 data_time: 0.009 memory: 5148 grad_norm: 6.7981 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.0082 loss: 2.0082 2022/06/27 23:47:33 - mmengine - INFO - Epoch(train) [23][2640/3757] lr: 1.000e-02 eta: 21:22:27 time: 0.901 data_time: 0.021 memory: 5148 grad_norm: 5.6074 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1646 loss: 2.1646 2022/06/27 23:47:38 - mmengine - INFO - Epoch(train) [23][2660/3757] lr: 1.000e-02 eta: 21:22:20 time: 0.198 data_time: 0.014 memory: 5148 grad_norm: 5.1614 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0111 loss: 2.0111 2022/06/27 23:47:44 - mmengine - INFO - Epoch(train) [23][2680/3757] lr: 1.000e-02 eta: 21:22:17 time: 0.198 data_time: 0.012 memory: 5148 grad_norm: 4.9034 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9827 loss: 1.9827 2022/06/27 23:47:49 - mmengine - INFO - Epoch(train) [23][2700/3757] lr: 1.000e-02 eta: 21:22:12 time: 0.695 data_time: 0.019 memory: 5148 grad_norm: 6.1870 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7305 loss: 1.7305 2022/06/27 23:47:54 - mmengine - INFO - Epoch(train) [23][2720/3757] lr: 1.000e-02 eta: 21:22:05 time: 0.194 data_time: 0.015 memory: 5148 grad_norm: 5.2138 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.6808 loss: 2.6808 2022/06/27 23:47:59 - mmengine - INFO - Epoch(train) [23][2740/3757] lr: 1.000e-02 eta: 21:22:01 time: 0.236 data_time: 0.011 memory: 5148 grad_norm: 6.0924 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5206 loss: 2.5206 2022/06/27 23:48:05 - mmengine - INFO - Epoch(train) [23][2760/3757] lr: 1.000e-02 eta: 21:21:57 time: 0.871 data_time: 0.009 memory: 5148 grad_norm: 5.1032 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0139 loss: 2.0139 2022/06/27 23:48:10 - mmengine - INFO - Epoch(train) [23][2780/3757] lr: 1.000e-02 eta: 21:21:51 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 5.7063 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8103 loss: 1.8103 2022/06/27 23:48:15 - mmengine - INFO - Epoch(train) [23][2800/3757] lr: 1.000e-02 eta: 21:21:44 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.6792 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3041 loss: 2.3041 2022/06/27 23:48:20 - mmengine - INFO - Epoch(train) [23][2820/3757] lr: 1.000e-02 eta: 21:21:39 time: 0.809 data_time: 0.007 memory: 5148 grad_norm: 5.3602 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2246 loss: 2.2246 2022/06/27 23:48:25 - mmengine - INFO - Epoch(train) [23][2840/3757] lr: 1.000e-02 eta: 21:21:32 time: 0.196 data_time: 0.014 memory: 5148 grad_norm: 4.5808 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1568 loss: 2.1568 2022/06/27 23:48:31 - mmengine - INFO - Epoch(train) [23][2860/3757] lr: 1.000e-02 eta: 21:21:30 time: 0.211 data_time: 0.006 memory: 5148 grad_norm: 5.0923 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1936 loss: 2.1936 2022/06/27 23:48:37 - mmengine - INFO - Epoch(train) [23][2880/3757] lr: 1.000e-02 eta: 21:21:24 time: 0.817 data_time: 0.006 memory: 5148 grad_norm: 5.8962 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9648 loss: 1.9648 2022/06/27 23:48:42 - mmengine - INFO - Epoch(train) [23][2900/3757] lr: 1.000e-02 eta: 21:21:18 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.5978 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3482 loss: 2.3482 2022/06/27 23:48:48 - mmengine - INFO - Epoch(train) [23][2920/3757] lr: 1.000e-02 eta: 21:21:14 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.1617 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2556 loss: 2.2556 2022/06/27 23:48:53 - mmengine - INFO - Epoch(train) [23][2940/3757] lr: 1.000e-02 eta: 21:21:08 time: 0.215 data_time: 0.006 memory: 5148 grad_norm: 5.1177 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9369 loss: 1.9369 2022/06/27 23:48:58 - mmengine - INFO - Epoch(train) [23][2960/3757] lr: 1.000e-02 eta: 21:21:03 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 4.9453 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9509 loss: 1.9509 2022/06/27 23:49:03 - mmengine - INFO - Epoch(train) [23][2980/3757] lr: 1.000e-02 eta: 21:20:57 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.7228 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9611 loss: 1.9611 2022/06/27 23:49:09 - mmengine - INFO - Epoch(train) [23][3000/3757] lr: 1.000e-02 eta: 21:20:55 time: 1.474 data_time: 0.006 memory: 5148 grad_norm: 5.6101 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9888 loss: 1.9888 2022/06/27 23:49:13 - mmengine - INFO - Epoch(train) [23][3020/3757] lr: 1.000e-02 eta: 21:20:46 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 5.8114 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3124 loss: 2.3124 2022/06/27 23:49:19 - mmengine - INFO - Epoch(train) [23][3040/3757] lr: 1.000e-02 eta: 21:20:42 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 5.8179 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1433 loss: 2.1433 2022/06/27 23:49:25 - mmengine - INFO - Epoch(train) [23][3060/3757] lr: 1.000e-02 eta: 21:20:39 time: 1.287 data_time: 0.006 memory: 5148 grad_norm: 5.6488 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9703 loss: 1.9703 2022/06/27 23:49:30 - mmengine - INFO - Epoch(train) [23][3080/3757] lr: 1.000e-02 eta: 21:20:33 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.6781 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7154 loss: 2.7154 2022/06/27 23:49:35 - mmengine - INFO - Epoch(train) [23][3100/3757] lr: 1.000e-02 eta: 21:20:27 time: 0.191 data_time: 0.006 memory: 5148 grad_norm: 5.1578 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2077 loss: 2.2077 2022/06/27 23:49:40 - mmengine - INFO - Epoch(train) [23][3120/3757] lr: 1.000e-02 eta: 21:20:21 time: 0.519 data_time: 0.008 memory: 5148 grad_norm: 5.7058 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2727 loss: 2.2727 2022/06/27 23:49:46 - mmengine - INFO - Epoch(train) [23][3140/3757] lr: 1.000e-02 eta: 21:20:15 time: 0.202 data_time: 0.012 memory: 5148 grad_norm: 5.2261 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8058 loss: 1.8058 2022/06/27 23:49:51 - mmengine - INFO - Epoch(train) [23][3160/3757] lr: 1.000e-02 eta: 21:20:11 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.1331 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0159 loss: 2.0159 2022/06/27 23:49:57 - mmengine - INFO - Epoch(train) [23][3180/3757] lr: 1.000e-02 eta: 21:20:06 time: 0.781 data_time: 0.007 memory: 5148 grad_norm: 4.9459 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9921 loss: 1.9921 2022/06/27 23:50:02 - mmengine - INFO - Epoch(train) [23][3200/3757] lr: 1.000e-02 eta: 21:20:00 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.4503 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3897 loss: 2.3897 2022/06/27 23:50:07 - mmengine - INFO - Epoch(train) [23][3220/3757] lr: 1.000e-02 eta: 21:19:55 time: 0.206 data_time: 0.020 memory: 5148 grad_norm: 6.0139 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6907 loss: 1.6907 2022/06/27 23:50:13 - mmengine - INFO - Epoch(train) [23][3240/3757] lr: 1.000e-02 eta: 21:19:50 time: 0.849 data_time: 0.010 memory: 5148 grad_norm: 5.4003 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0886 loss: 2.0886 2022/06/27 23:50:17 - mmengine - INFO - Epoch(train) [23][3260/3757] lr: 1.000e-02 eta: 21:19:42 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 5.5493 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0675 loss: 2.0675 2022/06/27 23:50:23 - mmengine - INFO - Epoch(train) [23][3280/3757] lr: 1.000e-02 eta: 21:19:38 time: 0.400 data_time: 0.018 memory: 5148 grad_norm: 5.1663 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0576 loss: 2.0576 2022/06/27 23:50:28 - mmengine - INFO - Epoch(train) [23][3300/3757] lr: 1.000e-02 eta: 21:19:31 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 5.7742 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1721 loss: 2.1721 2022/06/27 23:50:33 - mmengine - INFO - Epoch(train) [23][3320/3757] lr: 1.000e-02 eta: 21:19:26 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 6.1649 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4834 loss: 2.4834 2022/06/27 23:50:39 - mmengine - INFO - Epoch(train) [23][3340/3757] lr: 1.000e-02 eta: 21:19:22 time: 0.736 data_time: 0.013 memory: 5148 grad_norm: 5.1665 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8065 loss: 1.8065 2022/06/27 23:50:40 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 23:50:44 - mmengine - INFO - Epoch(train) [23][3360/3757] lr: 1.000e-02 eta: 21:19:17 time: 1.053 data_time: 0.007 memory: 5148 grad_norm: 5.1147 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7864 loss: 1.7864 2022/06/27 23:50:49 - mmengine - INFO - Epoch(train) [23][3380/3757] lr: 1.000e-02 eta: 21:19:11 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.3101 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9096 loss: 1.9096 2022/06/27 23:50:54 - mmengine - INFO - Epoch(train) [23][3400/3757] lr: 1.000e-02 eta: 21:19:06 time: 0.195 data_time: 0.012 memory: 5148 grad_norm: 5.0711 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7935 loss: 1.7935 2022/06/27 23:51:00 - mmengine - INFO - Epoch(train) [23][3420/3757] lr: 1.000e-02 eta: 21:19:01 time: 0.571 data_time: 0.007 memory: 5148 grad_norm: 5.7493 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5126 loss: 2.5126 2022/06/27 23:51:05 - mmengine - INFO - Epoch(train) [23][3440/3757] lr: 1.000e-02 eta: 21:18:55 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 6.5439 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1922 loss: 2.1922 2022/06/27 23:51:11 - mmengine - INFO - Epoch(train) [23][3460/3757] lr: 1.000e-02 eta: 21:18:52 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 4.8681 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4663 loss: 2.4663 2022/06/27 23:51:17 - mmengine - INFO - Epoch(train) [23][3480/3757] lr: 1.000e-02 eta: 21:18:49 time: 1.134 data_time: 0.007 memory: 5148 grad_norm: 6.2036 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3957 loss: 2.3957 2022/06/27 23:51:22 - mmengine - INFO - Epoch(train) [23][3500/3757] lr: 1.000e-02 eta: 21:18:41 time: 0.200 data_time: 0.013 memory: 5148 grad_norm: 5.4077 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3976 loss: 2.3976 2022/06/27 23:51:27 - mmengine - INFO - Epoch(train) [23][3520/3757] lr: 1.000e-02 eta: 21:18:37 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 5.1391 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9074 loss: 1.9074 2022/06/27 23:51:33 - mmengine - INFO - Epoch(train) [23][3540/3757] lr: 1.000e-02 eta: 21:18:33 time: 1.088 data_time: 0.007 memory: 5148 grad_norm: 5.8618 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2422 loss: 2.2422 2022/06/27 23:51:37 - mmengine - INFO - Epoch(train) [23][3560/3757] lr: 1.000e-02 eta: 21:18:25 time: 0.197 data_time: 0.016 memory: 5148 grad_norm: 5.6932 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2138 loss: 2.2138 2022/06/27 23:51:43 - mmengine - INFO - Epoch(train) [23][3580/3757] lr: 1.000e-02 eta: 21:18:22 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.9405 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5528 loss: 2.5528 2022/06/27 23:51:49 - mmengine - INFO - Epoch(train) [23][3600/3757] lr: 1.000e-02 eta: 21:18:18 time: 1.453 data_time: 0.011 memory: 5148 grad_norm: 5.9793 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0870 loss: 2.0870 2022/06/27 23:51:53 - mmengine - INFO - Epoch(train) [23][3620/3757] lr: 1.000e-02 eta: 21:18:09 time: 0.198 data_time: 0.016 memory: 5148 grad_norm: 5.6598 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0749 loss: 2.0749 2022/06/27 23:51:59 - mmengine - INFO - Epoch(train) [23][3640/3757] lr: 1.000e-02 eta: 21:18:05 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.3627 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0129 loss: 2.0129 2022/06/27 23:52:05 - mmengine - INFO - Epoch(train) [23][3660/3757] lr: 1.000e-02 eta: 21:18:01 time: 1.148 data_time: 0.007 memory: 5148 grad_norm: 5.9190 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2135 loss: 2.2135 2022/06/27 23:52:09 - mmengine - INFO - Epoch(train) [23][3680/3757] lr: 1.000e-02 eta: 21:17:53 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 5.5295 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.2757 loss: 2.2757 2022/06/27 23:52:15 - mmengine - INFO - Epoch(train) [23][3700/3757] lr: 1.000e-02 eta: 21:17:49 time: 0.191 data_time: 0.008 memory: 5148 grad_norm: 4.6880 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7585 loss: 1.7585 2022/06/27 23:52:21 - mmengine - INFO - Epoch(train) [23][3720/3757] lr: 1.000e-02 eta: 21:17:45 time: 0.744 data_time: 0.006 memory: 5148 grad_norm: 5.4796 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6631 loss: 2.6631 2022/06/27 23:52:25 - mmengine - INFO - Epoch(train) [23][3740/3757] lr: 1.000e-02 eta: 21:17:38 time: 0.210 data_time: 0.011 memory: 5148 grad_norm: 5.1523 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4204 loss: 2.4204 2022/06/27 23:52:29 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 23:52:36 - mmengine - INFO - Epoch(val) [23][20/310] eta: 0:01:10 time: 0.326 data_time: 0.253 memory: 5148 2022/06/27 23:52:40 - mmengine - INFO - Epoch(val) [23][40/310] eta: 0:01:04 time: 0.076 data_time: 0.005 memory: 1367 2022/06/27 23:52:46 - mmengine - INFO - Epoch(val) [23][60/310] eta: 0:01:02 time: 0.473 data_time: 0.402 memory: 1367 2022/06/27 23:52:51 - mmengine - INFO - Epoch(val) [23][80/310] eta: 0:00:55 time: 0.086 data_time: 0.008 memory: 1367 2022/06/27 23:52:57 - mmengine - INFO - Epoch(val) [23][100/310] eta: 0:00:54 time: 0.306 data_time: 0.233 memory: 1367 2022/06/27 23:53:02 - mmengine - INFO - Epoch(val) [23][120/310] eta: 0:00:46 time: 0.159 data_time: 0.082 memory: 1367 2022/06/27 23:53:08 - mmengine - INFO - Epoch(val) [23][140/310] eta: 0:00:56 time: 1.001 data_time: 0.924 memory: 1367 2022/06/27 23:53:13 - mmengine - INFO - Epoch(val) [23][160/310] eta: 0:00:34 time: 0.085 data_time: 0.008 memory: 1367 2022/06/27 23:53:19 - mmengine - INFO - Epoch(val) [23][180/310] eta: 0:00:51 time: 1.409 data_time: 1.337 memory: 1367 2022/06/27 23:53:24 - mmengine - INFO - Epoch(val) [23][200/310] eta: 0:00:26 time: 0.084 data_time: 0.009 memory: 1367 2022/06/27 23:53:30 - mmengine - INFO - Epoch(val) [23][220/310] eta: 0:00:33 time: 0.786 data_time: 0.714 memory: 1367 2022/06/27 23:53:34 - mmengine - INFO - Epoch(val) [23][240/310] eta: 0:00:14 time: 0.083 data_time: 0.005 memory: 1367 2022/06/27 23:53:40 - mmengine - INFO - Epoch(val) [23][260/310] eta: 0:00:18 time: 0.444 data_time: 0.373 memory: 1367 2022/06/27 23:53:45 - mmengine - INFO - Epoch(val) [23][280/310] eta: 0:00:06 time: 0.085 data_time: 0.005 memory: 1367 2022/06/27 23:53:50 - mmengine - INFO - Epoch(val) [23][300/310] eta: 0:00:03 time: 0.470 data_time: 0.398 memory: 1367 2022/06/27 23:53:53 - mmengine - INFO - Epoch(val) [23][310/310] acc/top1: 0.5404 acc/top5: 0.7901 acc/mean1: 0.5404 2022/06/27 23:54:01 - mmengine - INFO - Epoch(train) [24][20/3757] lr: 1.000e-02 eta: 21:17:30 time: 0.193 data_time: 0.006 memory: 5148 grad_norm: 6.3298 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5855 loss: 2.5855 2022/06/27 23:54:07 - mmengine - INFO - Epoch(train) [24][40/3757] lr: 1.000e-02 eta: 21:17:27 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 6.0581 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3254 loss: 2.3254 2022/06/27 23:54:12 - mmengine - INFO - Epoch(train) [24][60/3757] lr: 1.000e-02 eta: 21:17:21 time: 0.193 data_time: 0.008 memory: 5148 grad_norm: 5.8405 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9543 loss: 1.9543 2022/06/27 23:54:18 - mmengine - INFO - Epoch(train) [24][80/3757] lr: 1.000e-02 eta: 21:17:16 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.6020 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2698 loss: 2.2698 2022/06/27 23:54:23 - mmengine - INFO - Epoch(train) [24][100/3757] lr: 1.000e-02 eta: 21:17:11 time: 0.189 data_time: 0.007 memory: 5148 grad_norm: 5.6255 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6536 loss: 1.6536 2022/06/27 23:54:28 - mmengine - INFO - Epoch(train) [24][120/3757] lr: 1.000e-02 eta: 21:17:06 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 5.9559 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1005 loss: 2.1005 2022/06/27 23:54:35 - mmengine - INFO - Epoch(train) [24][140/3757] lr: 1.000e-02 eta: 21:17:03 time: 0.191 data_time: 0.008 memory: 5148 grad_norm: 5.6047 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3845 loss: 2.3845 2022/06/27 23:54:40 - mmengine - INFO - Epoch(train) [24][160/3757] lr: 1.000e-02 eta: 21:16:58 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 6.1558 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8459 loss: 1.8459 2022/06/27 23:54:45 - mmengine - INFO - Epoch(train) [24][180/3757] lr: 1.000e-02 eta: 21:16:51 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 5.5021 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1312 loss: 2.1312 2022/06/27 23:54:50 - mmengine - INFO - Epoch(train) [24][200/3757] lr: 1.000e-02 eta: 21:16:47 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.3072 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8599 loss: 1.8599 2022/06/27 23:54:56 - mmengine - INFO - Epoch(train) [24][220/3757] lr: 1.000e-02 eta: 21:16:42 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.5705 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9003 loss: 1.9003 2022/06/27 23:55:01 - mmengine - INFO - Epoch(train) [24][240/3757] lr: 1.000e-02 eta: 21:16:37 time: 0.193 data_time: 0.011 memory: 5148 grad_norm: 4.7350 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8772 loss: 1.8772 2022/06/27 23:55:06 - mmengine - INFO - Epoch(train) [24][260/3757] lr: 1.000e-02 eta: 21:16:30 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 5.8916 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3588 loss: 2.3588 2022/06/27 23:55:11 - mmengine - INFO - Epoch(train) [24][280/3757] lr: 1.000e-02 eta: 21:16:25 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 5.9605 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9125 loss: 1.9125 2022/06/27 23:55:16 - mmengine - INFO - Epoch(train) [24][300/3757] lr: 1.000e-02 eta: 21:16:19 time: 0.191 data_time: 0.010 memory: 5148 grad_norm: 5.0531 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9759 loss: 1.9759 2022/06/27 23:55:22 - mmengine - INFO - Epoch(train) [24][320/3757] lr: 1.000e-02 eta: 21:16:14 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 6.2546 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0490 loss: 2.0490 2022/06/27 23:55:27 - mmengine - INFO - Epoch(train) [24][340/3757] lr: 1.000e-02 eta: 21:16:09 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 7.1584 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0891 loss: 2.0891 2022/06/27 23:55:32 - mmengine - INFO - Epoch(train) [24][360/3757] lr: 1.000e-02 eta: 21:16:02 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 5.8394 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9753 loss: 1.9753 2022/06/27 23:55:38 - mmengine - INFO - Epoch(train) [24][380/3757] lr: 1.000e-02 eta: 21:15:58 time: 0.195 data_time: 0.012 memory: 5148 grad_norm: 4.8220 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9911 loss: 1.9911 2022/06/27 23:55:43 - mmengine - INFO - Epoch(train) [24][400/3757] lr: 1.000e-02 eta: 21:15:53 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 4.6479 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9726 loss: 1.9726 2022/06/27 23:55:48 - mmengine - INFO - Epoch(train) [24][420/3757] lr: 1.000e-02 eta: 21:15:47 time: 0.191 data_time: 0.009 memory: 5148 grad_norm: 5.3367 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7766 loss: 1.7766 2022/06/27 23:55:54 - mmengine - INFO - Epoch(train) [24][440/3757] lr: 1.000e-02 eta: 21:15:42 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 5.5220 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8335 loss: 1.8335 2022/06/27 23:55:59 - mmengine - INFO - Epoch(train) [24][460/3757] lr: 1.000e-02 eta: 21:15:38 time: 0.192 data_time: 0.010 memory: 5148 grad_norm: 5.8385 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6545 loss: 1.6545 2022/06/27 23:56:04 - mmengine - INFO - Epoch(train) [24][480/3757] lr: 1.000e-02 eta: 21:15:32 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 6.3140 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8167 loss: 1.8167 2022/06/27 23:56:10 - mmengine - INFO - Epoch(train) [24][500/3757] lr: 1.000e-02 eta: 21:15:28 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 5.8140 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0610 loss: 2.0610 2022/06/27 23:56:16 - mmengine - INFO - Epoch(train) [24][520/3757] lr: 1.000e-02 eta: 21:15:24 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 6.5291 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2009 loss: 2.2009 2022/06/27 23:56:21 - mmengine - INFO - Epoch(train) [24][540/3757] lr: 1.000e-02 eta: 21:15:17 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.9302 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1357 loss: 2.1357 2022/06/27 23:56:27 - mmengine - INFO - Epoch(train) [24][560/3757] lr: 1.000e-02 eta: 21:15:14 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.0815 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.8753 loss: 1.8753 2022/06/27 23:56:32 - mmengine - INFO - Epoch(train) [24][580/3757] lr: 1.000e-02 eta: 21:15:09 time: 0.201 data_time: 0.018 memory: 5148 grad_norm: 5.3736 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5419 loss: 1.5419 2022/06/27 23:56:34 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/27 23:56:37 - mmengine - INFO - Epoch(train) [24][600/3757] lr: 1.000e-02 eta: 21:15:02 time: 0.209 data_time: 0.006 memory: 5148 grad_norm: 4.4848 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9524 loss: 1.9524 2022/06/27 23:56:42 - mmengine - INFO - Epoch(train) [24][620/3757] lr: 1.000e-02 eta: 21:14:56 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 6.7880 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3187 loss: 2.3187 2022/06/27 23:56:48 - mmengine - INFO - Epoch(train) [24][640/3757] lr: 1.000e-02 eta: 21:14:52 time: 0.210 data_time: 0.012 memory: 5148 grad_norm: 6.2217 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9744 loss: 1.9744 2022/06/27 23:56:52 - mmengine - INFO - Epoch(train) [24][660/3757] lr: 1.000e-02 eta: 21:14:45 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 5.3171 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0630 loss: 2.0630 2022/06/27 23:56:58 - mmengine - INFO - Epoch(train) [24][680/3757] lr: 1.000e-02 eta: 21:14:41 time: 0.190 data_time: 0.006 memory: 5148 grad_norm: 5.4709 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9915 loss: 1.9915 2022/06/27 23:57:03 - mmengine - INFO - Epoch(train) [24][700/3757] lr: 1.000e-02 eta: 21:14:36 time: 0.203 data_time: 0.021 memory: 5148 grad_norm: 6.0447 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9261 loss: 1.9261 2022/06/27 23:57:09 - mmengine - INFO - Epoch(train) [24][720/3757] lr: 1.000e-02 eta: 21:14:30 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.8279 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9831 loss: 1.9831 2022/06/27 23:57:14 - mmengine - INFO - Epoch(train) [24][740/3757] lr: 1.000e-02 eta: 21:14:26 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 4.9405 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1657 loss: 2.1657 2022/06/27 23:57:20 - mmengine - INFO - Epoch(train) [24][760/3757] lr: 1.000e-02 eta: 21:14:23 time: 0.211 data_time: 0.025 memory: 5148 grad_norm: 5.9879 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9155 loss: 1.9155 2022/06/27 23:57:24 - mmengine - INFO - Epoch(train) [24][780/3757] lr: 1.000e-02 eta: 21:14:14 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.3480 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5973 loss: 1.5973 2022/06/27 23:57:30 - mmengine - INFO - Epoch(train) [24][800/3757] lr: 1.000e-02 eta: 21:14:09 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 4.7950 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7815 loss: 1.7815 2022/06/27 23:57:36 - mmengine - INFO - Epoch(train) [24][820/3757] lr: 1.000e-02 eta: 21:14:05 time: 0.208 data_time: 0.024 memory: 5148 grad_norm: 5.7741 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9650 loss: 1.9650 2022/06/27 23:57:40 - mmengine - INFO - Epoch(train) [24][840/3757] lr: 1.000e-02 eta: 21:13:59 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 4.8661 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2488 loss: 2.2488 2022/06/27 23:57:46 - mmengine - INFO - Epoch(train) [24][860/3757] lr: 1.000e-02 eta: 21:13:54 time: 0.189 data_time: 0.011 memory: 5148 grad_norm: 4.7806 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3488 loss: 2.3488 2022/06/27 23:57:52 - mmengine - INFO - Epoch(train) [24][880/3757] lr: 1.000e-02 eta: 21:13:50 time: 0.201 data_time: 0.025 memory: 5148 grad_norm: 4.9483 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0117 loss: 2.0117 2022/06/27 23:57:57 - mmengine - INFO - Epoch(train) [24][900/3757] lr: 1.000e-02 eta: 21:13:44 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.3874 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2029 loss: 2.2029 2022/06/27 23:58:02 - mmengine - INFO - Epoch(train) [24][920/3757] lr: 1.000e-02 eta: 21:13:39 time: 0.195 data_time: 0.006 memory: 5148 grad_norm: 5.7942 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7924 loss: 1.7924 2022/06/27 23:58:08 - mmengine - INFO - Epoch(train) [24][940/3757] lr: 1.000e-02 eta: 21:13:36 time: 0.244 data_time: 0.026 memory: 5148 grad_norm: 5.4574 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1262 loss: 2.1262 2022/06/27 23:58:13 - mmengine - INFO - Epoch(train) [24][960/3757] lr: 1.000e-02 eta: 21:13:28 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 6.1436 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1480 loss: 2.1480 2022/06/27 23:58:18 - mmengine - INFO - Epoch(train) [24][980/3757] lr: 1.000e-02 eta: 21:13:21 time: 0.197 data_time: 0.014 memory: 5148 grad_norm: 5.7016 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7421 loss: 1.7421 2022/06/27 23:58:23 - mmengine - INFO - Epoch(train) [24][1000/3757] lr: 1.000e-02 eta: 21:13:17 time: 0.212 data_time: 0.006 memory: 5148 grad_norm: 5.1660 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0163 loss: 2.0163 2022/06/27 23:58:28 - mmengine - INFO - Epoch(train) [24][1020/3757] lr: 1.000e-02 eta: 21:13:11 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 6.2110 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1876 loss: 2.1876 2022/06/27 23:58:34 - mmengine - INFO - Epoch(train) [24][1040/3757] lr: 1.000e-02 eta: 21:13:07 time: 0.198 data_time: 0.014 memory: 5148 grad_norm: 5.4676 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4580 loss: 1.4580 2022/06/27 23:58:39 - mmengine - INFO - Epoch(train) [24][1060/3757] lr: 1.000e-02 eta: 21:13:02 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 4.6317 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8533 loss: 1.8533 2022/06/27 23:58:44 - mmengine - INFO - Epoch(train) [24][1080/3757] lr: 1.000e-02 eta: 21:12:56 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 5.3983 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2724 loss: 2.2724 2022/06/27 23:58:50 - mmengine - INFO - Epoch(train) [24][1100/3757] lr: 1.000e-02 eta: 21:12:51 time: 0.214 data_time: 0.006 memory: 5148 grad_norm: 6.0338 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9028 loss: 1.9028 2022/06/27 23:58:55 - mmengine - INFO - Epoch(train) [24][1120/3757] lr: 1.000e-02 eta: 21:12:47 time: 0.210 data_time: 0.006 memory: 5148 grad_norm: 5.5043 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1696 loss: 2.1696 2022/06/27 23:59:00 - mmengine - INFO - Epoch(train) [24][1140/3757] lr: 1.000e-02 eta: 21:12:40 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 4.7037 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1315 loss: 2.1315 2022/06/27 23:59:06 - mmengine - INFO - Epoch(train) [24][1160/3757] lr: 1.000e-02 eta: 21:12:37 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 4.9291 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1365 loss: 2.1365 2022/06/27 23:59:11 - mmengine - INFO - Epoch(train) [24][1180/3757] lr: 1.000e-02 eta: 21:12:30 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.2783 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2017 loss: 2.2017 2022/06/27 23:59:17 - mmengine - INFO - Epoch(train) [24][1200/3757] lr: 1.000e-02 eta: 21:12:26 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 4.5747 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9594 loss: 1.9594 2022/06/27 23:59:22 - mmengine - INFO - Epoch(train) [24][1220/3757] lr: 1.000e-02 eta: 21:12:21 time: 0.232 data_time: 0.007 memory: 5148 grad_norm: 5.6734 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6675 loss: 1.6675 2022/06/27 23:59:27 - mmengine - INFO - Epoch(train) [24][1240/3757] lr: 1.000e-02 eta: 21:12:15 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 5.6978 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0003 loss: 2.0003 2022/06/27 23:59:33 - mmengine - INFO - Epoch(train) [24][1260/3757] lr: 1.000e-02 eta: 21:12:09 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.4418 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2408 loss: 2.2408 2022/06/27 23:59:39 - mmengine - INFO - Epoch(train) [24][1280/3757] lr: 1.000e-02 eta: 21:12:06 time: 0.240 data_time: 0.007 memory: 5148 grad_norm: 6.1793 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8586 loss: 1.8586 2022/06/27 23:59:43 - mmengine - INFO - Epoch(train) [24][1300/3757] lr: 1.000e-02 eta: 21:11:58 time: 0.191 data_time: 0.012 memory: 5148 grad_norm: 5.9286 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2049 loss: 2.2049 2022/06/27 23:59:49 - mmengine - INFO - Epoch(train) [24][1320/3757] lr: 1.000e-02 eta: 21:11:54 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.0885 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1105 loss: 2.1105 2022/06/27 23:59:54 - mmengine - INFO - Epoch(train) [24][1340/3757] lr: 1.000e-02 eta: 21:11:49 time: 0.497 data_time: 0.012 memory: 5148 grad_norm: 5.4394 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1199 loss: 2.1199 2022/06/27 23:59:59 - mmengine - INFO - Epoch(train) [24][1360/3757] lr: 1.000e-02 eta: 21:11:42 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 6.1814 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2439 loss: 2.2439 2022/06/28 00:00:06 - mmengine - INFO - Epoch(train) [24][1380/3757] lr: 1.000e-02 eta: 21:11:43 time: 0.204 data_time: 0.009 memory: 5148 grad_norm: 5.6677 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.0722 loss: 2.0722 2022/06/28 00:00:10 - mmengine - INFO - Epoch(train) [24][1400/3757] lr: 1.000e-02 eta: 21:11:34 time: 0.208 data_time: 0.011 memory: 5148 grad_norm: 5.6591 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9436 loss: 1.9436 2022/06/28 00:00:15 - mmengine - INFO - Epoch(train) [24][1420/3757] lr: 1.000e-02 eta: 21:11:27 time: 0.193 data_time: 0.016 memory: 5148 grad_norm: 5.4804 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8479 loss: 1.8479 2022/06/28 00:00:21 - mmengine - INFO - Epoch(train) [24][1440/3757] lr: 1.000e-02 eta: 21:11:22 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 5.3868 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.9758 loss: 1.9758 2022/06/28 00:00:26 - mmengine - INFO - Epoch(train) [24][1460/3757] lr: 1.000e-02 eta: 21:11:19 time: 0.861 data_time: 0.012 memory: 5148 grad_norm: 5.1202 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5216 loss: 2.5216 2022/06/28 00:00:32 - mmengine - INFO - Epoch(train) [24][1480/3757] lr: 1.000e-02 eta: 21:11:13 time: 0.206 data_time: 0.014 memory: 5148 grad_norm: 6.1899 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2078 loss: 2.2078 2022/06/28 00:00:37 - mmengine - INFO - Epoch(train) [24][1500/3757] lr: 1.000e-02 eta: 21:11:08 time: 0.193 data_time: 0.012 memory: 5148 grad_norm: 5.7784 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0191 loss: 2.0191 2022/06/28 00:00:42 - mmengine - INFO - Epoch(train) [24][1520/3757] lr: 1.000e-02 eta: 21:11:03 time: 0.203 data_time: 0.016 memory: 5148 grad_norm: 5.5812 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5324 loss: 2.5324 2022/06/28 00:00:47 - mmengine - INFO - Epoch(train) [24][1540/3757] lr: 1.000e-02 eta: 21:10:55 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 5.9926 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1750 loss: 2.1750 2022/06/28 00:00:53 - mmengine - INFO - Epoch(train) [24][1560/3757] lr: 1.000e-02 eta: 21:10:51 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 4.8030 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9947 loss: 1.9947 2022/06/28 00:00:58 - mmengine - INFO - Epoch(train) [24][1580/3757] lr: 1.000e-02 eta: 21:10:45 time: 0.215 data_time: 0.018 memory: 5148 grad_norm: 6.3516 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4290 loss: 2.4290 2022/06/28 00:01:00 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 00:01:03 - mmengine - INFO - Epoch(train) [24][1600/3757] lr: 1.000e-02 eta: 21:10:41 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 5.6363 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1755 loss: 2.1755 2022/06/28 00:01:09 - mmengine - INFO - Epoch(train) [24][1620/3757] lr: 1.000e-02 eta: 21:10:36 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 5.7758 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6952 loss: 2.6952 2022/06/28 00:01:14 - mmengine - INFO - Epoch(train) [24][1640/3757] lr: 1.000e-02 eta: 21:10:30 time: 0.198 data_time: 0.019 memory: 5148 grad_norm: 6.0451 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9920 loss: 1.9920 2022/06/28 00:01:20 - mmengine - INFO - Epoch(train) [24][1660/3757] lr: 1.000e-02 eta: 21:10:26 time: 0.263 data_time: 0.011 memory: 5148 grad_norm: 5.8861 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1155 loss: 2.1155 2022/06/28 00:01:25 - mmengine - INFO - Epoch(train) [24][1680/3757] lr: 1.000e-02 eta: 21:10:21 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 5.3095 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2133 loss: 2.2133 2022/06/28 00:01:30 - mmengine - INFO - Epoch(train) [24][1700/3757] lr: 1.000e-02 eta: 21:10:16 time: 0.196 data_time: 0.019 memory: 5148 grad_norm: 5.6427 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9215 loss: 1.9215 2022/06/28 00:01:36 - mmengine - INFO - Epoch(train) [24][1720/3757] lr: 1.000e-02 eta: 21:10:10 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 5.2214 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8748 loss: 1.8748 2022/06/28 00:01:41 - mmengine - INFO - Epoch(train) [24][1740/3757] lr: 1.000e-02 eta: 21:10:06 time: 0.187 data_time: 0.010 memory: 5148 grad_norm: 5.6184 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1934 loss: 2.1934 2022/06/28 00:01:46 - mmengine - INFO - Epoch(train) [24][1760/3757] lr: 1.000e-02 eta: 21:10:01 time: 0.205 data_time: 0.032 memory: 5148 grad_norm: 5.3893 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2699 loss: 2.2699 2022/06/28 00:01:51 - mmengine - INFO - Epoch(train) [24][1780/3757] lr: 1.000e-02 eta: 21:09:55 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 6.5226 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1096 loss: 2.1096 2022/06/28 00:01:57 - mmengine - INFO - Epoch(train) [24][1800/3757] lr: 1.000e-02 eta: 21:09:50 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 4.8704 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8213 loss: 1.8213 2022/06/28 00:02:02 - mmengine - INFO - Epoch(train) [24][1820/3757] lr: 1.000e-02 eta: 21:09:45 time: 0.301 data_time: 0.121 memory: 5148 grad_norm: 5.5658 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3907 loss: 2.3907 2022/06/28 00:02:08 - mmengine - INFO - Epoch(train) [24][1840/3757] lr: 1.000e-02 eta: 21:09:40 time: 0.236 data_time: 0.007 memory: 5148 grad_norm: 5.9891 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3202 loss: 2.3202 2022/06/28 00:02:13 - mmengine - INFO - Epoch(train) [24][1860/3757] lr: 1.000e-02 eta: 21:09:34 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 5.9681 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2945 loss: 2.2945 2022/06/28 00:02:18 - mmengine - INFO - Epoch(train) [24][1880/3757] lr: 1.000e-02 eta: 21:09:29 time: 0.623 data_time: 0.439 memory: 5148 grad_norm: 4.8144 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2599 loss: 2.2599 2022/06/28 00:02:23 - mmengine - INFO - Epoch(train) [24][1900/3757] lr: 1.000e-02 eta: 21:09:23 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.1077 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4139 loss: 2.4139 2022/06/28 00:02:29 - mmengine - INFO - Epoch(train) [24][1920/3757] lr: 1.000e-02 eta: 21:09:18 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 6.2751 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0410 loss: 2.0410 2022/06/28 00:02:34 - mmengine - INFO - Epoch(train) [24][1940/3757] lr: 1.000e-02 eta: 21:09:12 time: 0.415 data_time: 0.238 memory: 5148 grad_norm: 5.0118 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1321 loss: 2.1321 2022/06/28 00:02:40 - mmengine - INFO - Epoch(train) [24][1960/3757] lr: 1.000e-02 eta: 21:09:09 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.3871 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2583 loss: 2.2583 2022/06/28 00:02:46 - mmengine - INFO - Epoch(train) [24][1980/3757] lr: 1.000e-02 eta: 21:09:05 time: 0.195 data_time: 0.012 memory: 5148 grad_norm: 5.3335 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8098 loss: 1.8098 2022/06/28 00:02:51 - mmengine - INFO - Epoch(train) [24][2000/3757] lr: 1.000e-02 eta: 21:08:59 time: 0.218 data_time: 0.036 memory: 5148 grad_norm: 4.9683 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1471 loss: 2.1471 2022/06/28 00:02:56 - mmengine - INFO - Epoch(train) [24][2020/3757] lr: 1.000e-02 eta: 21:08:55 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.5408 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9988 loss: 1.9988 2022/06/28 00:03:02 - mmengine - INFO - Epoch(train) [24][2040/3757] lr: 1.000e-02 eta: 21:08:50 time: 0.199 data_time: 0.016 memory: 5148 grad_norm: 5.4052 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0821 loss: 2.0821 2022/06/28 00:03:07 - mmengine - INFO - Epoch(train) [24][2060/3757] lr: 1.000e-02 eta: 21:08:43 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 5.7582 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0471 loss: 2.0471 2022/06/28 00:03:12 - mmengine - INFO - Epoch(train) [24][2080/3757] lr: 1.000e-02 eta: 21:08:38 time: 0.193 data_time: 0.009 memory: 5148 grad_norm: 5.4949 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3177 loss: 2.3177 2022/06/28 00:03:18 - mmengine - INFO - Epoch(train) [24][2100/3757] lr: 1.000e-02 eta: 21:08:33 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 5.3358 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.7300 loss: 1.7300 2022/06/28 00:03:23 - mmengine - INFO - Epoch(train) [24][2120/3757] lr: 1.000e-02 eta: 21:08:27 time: 0.191 data_time: 0.010 memory: 5148 grad_norm: 5.0684 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0002 loss: 2.0002 2022/06/28 00:03:28 - mmengine - INFO - Epoch(train) [24][2140/3757] lr: 1.000e-02 eta: 21:08:21 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 6.6921 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2370 loss: 2.2370 2022/06/28 00:03:33 - mmengine - INFO - Epoch(train) [24][2160/3757] lr: 1.000e-02 eta: 21:08:16 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 6.1616 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0830 loss: 2.0830 2022/06/28 00:03:38 - mmengine - INFO - Epoch(train) [24][2180/3757] lr: 1.000e-02 eta: 21:08:09 time: 0.198 data_time: 0.009 memory: 5148 grad_norm: 5.7485 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1619 loss: 2.1619 2022/06/28 00:03:44 - mmengine - INFO - Epoch(train) [24][2200/3757] lr: 1.000e-02 eta: 21:08:06 time: 0.193 data_time: 0.016 memory: 5148 grad_norm: 5.9705 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3115 loss: 2.3115 2022/06/28 00:03:50 - mmengine - INFO - Epoch(train) [24][2220/3757] lr: 1.000e-02 eta: 21:08:03 time: 0.241 data_time: 0.009 memory: 5148 grad_norm: 6.1263 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0283 loss: 2.0283 2022/06/28 00:03:54 - mmengine - INFO - Epoch(train) [24][2240/3757] lr: 1.000e-02 eta: 21:07:54 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 4.8351 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9094 loss: 1.9094 2022/06/28 00:03:59 - mmengine - INFO - Epoch(train) [24][2260/3757] lr: 1.000e-02 eta: 21:07:49 time: 0.199 data_time: 0.013 memory: 5148 grad_norm: 5.7913 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3556 loss: 2.3556 2022/06/28 00:04:05 - mmengine - INFO - Epoch(train) [24][2280/3757] lr: 1.000e-02 eta: 21:07:44 time: 0.212 data_time: 0.008 memory: 5148 grad_norm: 5.1471 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3291 loss: 2.3291 2022/06/28 00:04:10 - mmengine - INFO - Epoch(train) [24][2300/3757] lr: 1.000e-02 eta: 21:07:39 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 5.2676 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8748 loss: 1.8748 2022/06/28 00:04:15 - mmengine - INFO - Epoch(train) [24][2320/3757] lr: 1.000e-02 eta: 21:07:32 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 4.8778 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9227 loss: 1.9227 2022/06/28 00:04:21 - mmengine - INFO - Epoch(train) [24][2340/3757] lr: 1.000e-02 eta: 21:07:28 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 6.2279 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3266 loss: 2.3266 2022/06/28 00:04:26 - mmengine - INFO - Epoch(train) [24][2360/3757] lr: 1.000e-02 eta: 21:07:23 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 6.1257 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1890 loss: 2.1890 2022/06/28 00:04:31 - mmengine - INFO - Epoch(train) [24][2380/3757] lr: 1.000e-02 eta: 21:07:17 time: 0.192 data_time: 0.010 memory: 5148 grad_norm: 5.5039 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9705 loss: 1.9705 2022/06/28 00:04:37 - mmengine - INFO - Epoch(train) [24][2400/3757] lr: 1.000e-02 eta: 21:07:15 time: 0.194 data_time: 0.006 memory: 5148 grad_norm: 5.3573 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0931 loss: 2.0931 2022/06/28 00:04:42 - mmengine - INFO - Epoch(train) [24][2420/3757] lr: 1.000e-02 eta: 21:07:08 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 5.7151 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.3603 loss: 2.3603 2022/06/28 00:04:47 - mmengine - INFO - Epoch(train) [24][2440/3757] lr: 1.000e-02 eta: 21:07:01 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 5.4799 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3129 loss: 2.3129 2022/06/28 00:04:52 - mmengine - INFO - Epoch(train) [24][2460/3757] lr: 1.000e-02 eta: 21:06:54 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 6.4131 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0199 loss: 2.0199 2022/06/28 00:04:58 - mmengine - INFO - Epoch(train) [24][2480/3757] lr: 1.000e-02 eta: 21:06:50 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 4.8583 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4095 loss: 2.4095 2022/06/28 00:05:03 - mmengine - INFO - Epoch(train) [24][2500/3757] lr: 1.000e-02 eta: 21:06:45 time: 0.195 data_time: 0.015 memory: 5148 grad_norm: 5.3663 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2475 loss: 2.2475 2022/06/28 00:05:08 - mmengine - INFO - Epoch(train) [24][2520/3757] lr: 1.000e-02 eta: 21:06:39 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 5.2099 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7014 loss: 1.7014 2022/06/28 00:05:14 - mmengine - INFO - Epoch(train) [24][2540/3757] lr: 1.000e-02 eta: 21:06:34 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.9455 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1356 loss: 2.1356 2022/06/28 00:05:19 - mmengine - INFO - Epoch(train) [24][2560/3757] lr: 1.000e-02 eta: 21:06:30 time: 0.196 data_time: 0.012 memory: 5148 grad_norm: 5.2252 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8942 loss: 1.8942 2022/06/28 00:05:24 - mmengine - INFO - Epoch(train) [24][2580/3757] lr: 1.000e-02 eta: 21:06:24 time: 0.188 data_time: 0.010 memory: 5148 grad_norm: 5.4003 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3596 loss: 2.3596 2022/06/28 00:05:26 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 00:05:29 - mmengine - INFO - Epoch(train) [24][2600/3757] lr: 1.000e-02 eta: 21:06:18 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 4.6997 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8711 loss: 1.8711 2022/06/28 00:05:35 - mmengine - INFO - Epoch(train) [24][2620/3757] lr: 1.000e-02 eta: 21:06:14 time: 0.197 data_time: 0.013 memory: 5148 grad_norm: 5.3510 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1450 loss: 2.1450 2022/06/28 00:05:40 - mmengine - INFO - Epoch(train) [24][2640/3757] lr: 1.000e-02 eta: 21:06:09 time: 0.201 data_time: 0.014 memory: 5148 grad_norm: 4.8293 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0035 loss: 2.0035 2022/06/28 00:05:46 - mmengine - INFO - Epoch(train) [24][2660/3757] lr: 1.000e-02 eta: 21:06:03 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 5.6712 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0810 loss: 2.0810 2022/06/28 00:05:50 - mmengine - INFO - Epoch(train) [24][2680/3757] lr: 1.000e-02 eta: 21:05:57 time: 0.198 data_time: 0.022 memory: 5148 grad_norm: 5.7408 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2645 loss: 2.2645 2022/06/28 00:05:56 - mmengine - INFO - Epoch(train) [24][2700/3757] lr: 1.000e-02 eta: 21:05:52 time: 0.193 data_time: 0.013 memory: 5148 grad_norm: 6.0183 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2487 loss: 2.2487 2022/06/28 00:06:01 - mmengine - INFO - Epoch(train) [24][2720/3757] lr: 1.000e-02 eta: 21:05:46 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 5.4253 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9425 loss: 1.9425 2022/06/28 00:06:06 - mmengine - INFO - Epoch(train) [24][2740/3757] lr: 1.000e-02 eta: 21:05:40 time: 0.201 data_time: 0.022 memory: 5148 grad_norm: 5.2940 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0441 loss: 2.0441 2022/06/28 00:06:11 - mmengine - INFO - Epoch(train) [24][2760/3757] lr: 1.000e-02 eta: 21:05:35 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 5.4954 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8940 loss: 1.8940 2022/06/28 00:06:17 - mmengine - INFO - Epoch(train) [24][2780/3757] lr: 1.000e-02 eta: 21:05:30 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 5.0861 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0525 loss: 2.0525 2022/06/28 00:06:22 - mmengine - INFO - Epoch(train) [24][2800/3757] lr: 1.000e-02 eta: 21:05:25 time: 0.206 data_time: 0.006 memory: 5148 grad_norm: 5.4559 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7934 loss: 1.7934 2022/06/28 00:06:27 - mmengine - INFO - Epoch(train) [24][2820/3757] lr: 1.000e-02 eta: 21:05:19 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 5.7277 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1571 loss: 2.1571 2022/06/28 00:06:33 - mmengine - INFO - Epoch(train) [24][2840/3757] lr: 1.000e-02 eta: 21:05:14 time: 0.231 data_time: 0.009 memory: 5148 grad_norm: 5.0904 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1382 loss: 2.1382 2022/06/28 00:06:38 - mmengine - INFO - Epoch(train) [24][2860/3757] lr: 1.000e-02 eta: 21:05:09 time: 0.194 data_time: 0.014 memory: 5148 grad_norm: 5.9627 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0870 loss: 2.0870 2022/06/28 00:06:43 - mmengine - INFO - Epoch(train) [24][2880/3757] lr: 1.000e-02 eta: 21:05:03 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.7690 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2315 loss: 2.2315 2022/06/28 00:06:49 - mmengine - INFO - Epoch(train) [24][2900/3757] lr: 1.000e-02 eta: 21:04:58 time: 0.235 data_time: 0.007 memory: 5148 grad_norm: 5.3309 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8091 loss: 1.8091 2022/06/28 00:06:54 - mmengine - INFO - Epoch(train) [24][2920/3757] lr: 1.000e-02 eta: 21:04:51 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 4.9765 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6185 loss: 1.6185 2022/06/28 00:06:59 - mmengine - INFO - Epoch(train) [24][2940/3757] lr: 1.000e-02 eta: 21:04:46 time: 0.214 data_time: 0.015 memory: 5148 grad_norm: 5.3717 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1420 loss: 2.1420 2022/06/28 00:07:04 - mmengine - INFO - Epoch(train) [24][2960/3757] lr: 1.000e-02 eta: 21:04:41 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.3608 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0172 loss: 2.0172 2022/06/28 00:07:09 - mmengine - INFO - Epoch(train) [24][2980/3757] lr: 1.000e-02 eta: 21:04:35 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 5.4171 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9424 loss: 1.9424 2022/06/28 00:07:15 - mmengine - INFO - Epoch(train) [24][3000/3757] lr: 1.000e-02 eta: 21:04:31 time: 0.200 data_time: 0.012 memory: 5148 grad_norm: 5.7244 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0337 loss: 2.0337 2022/06/28 00:07:20 - mmengine - INFO - Epoch(train) [24][3020/3757] lr: 1.000e-02 eta: 21:04:25 time: 0.230 data_time: 0.042 memory: 5148 grad_norm: 5.8478 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2954 loss: 2.2954 2022/06/28 00:07:25 - mmengine - INFO - Epoch(train) [24][3040/3757] lr: 1.000e-02 eta: 21:04:19 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 5.4334 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4137 loss: 2.4137 2022/06/28 00:07:31 - mmengine - INFO - Epoch(train) [24][3060/3757] lr: 1.000e-02 eta: 21:04:13 time: 0.206 data_time: 0.006 memory: 5148 grad_norm: 5.5166 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1350 loss: 2.1350 2022/06/28 00:07:36 - mmengine - INFO - Epoch(train) [24][3080/3757] lr: 1.000e-02 eta: 21:04:09 time: 0.208 data_time: 0.011 memory: 5148 grad_norm: 5.9628 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1751 loss: 2.1751 2022/06/28 00:07:41 - mmengine - INFO - Epoch(train) [24][3100/3757] lr: 1.000e-02 eta: 21:04:02 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.3981 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7229 loss: 1.7229 2022/06/28 00:07:46 - mmengine - INFO - Epoch(train) [24][3120/3757] lr: 1.000e-02 eta: 21:03:57 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 5.8227 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.5416 loss: 2.5416 2022/06/28 00:07:52 - mmengine - INFO - Epoch(train) [24][3140/3757] lr: 1.000e-02 eta: 21:03:52 time: 0.207 data_time: 0.023 memory: 5148 grad_norm: 4.9040 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7556 loss: 1.7556 2022/06/28 00:07:56 - mmengine - INFO - Epoch(train) [24][3160/3757] lr: 1.000e-02 eta: 21:03:45 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 4.4351 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1210 loss: 2.1210 2022/06/28 00:08:02 - mmengine - INFO - Epoch(train) [24][3180/3757] lr: 1.000e-02 eta: 21:03:41 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.2438 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0664 loss: 2.0664 2022/06/28 00:08:08 - mmengine - INFO - Epoch(train) [24][3200/3757] lr: 1.000e-02 eta: 21:03:36 time: 0.199 data_time: 0.020 memory: 5148 grad_norm: 6.0609 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2343 loss: 2.2343 2022/06/28 00:08:13 - mmengine - INFO - Epoch(train) [24][3220/3757] lr: 1.000e-02 eta: 21:03:30 time: 0.216 data_time: 0.006 memory: 5148 grad_norm: 5.0858 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0868 loss: 2.0868 2022/06/28 00:08:19 - mmengine - INFO - Epoch(train) [24][3240/3757] lr: 1.000e-02 eta: 21:03:27 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 4.9572 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9153 loss: 1.9153 2022/06/28 00:08:24 - mmengine - INFO - Epoch(train) [24][3260/3757] lr: 1.000e-02 eta: 21:03:21 time: 0.226 data_time: 0.015 memory: 5148 grad_norm: 5.3755 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1021 loss: 2.1021 2022/06/28 00:08:29 - mmengine - INFO - Epoch(train) [24][3280/3757] lr: 1.000e-02 eta: 21:03:16 time: 0.204 data_time: 0.012 memory: 5148 grad_norm: 6.1242 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0950 loss: 2.0950 2022/06/28 00:08:35 - mmengine - INFO - Epoch(train) [24][3300/3757] lr: 1.000e-02 eta: 21:03:11 time: 0.192 data_time: 0.012 memory: 5148 grad_norm: 5.2895 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1523 loss: 2.1523 2022/06/28 00:08:41 - mmengine - INFO - Epoch(train) [24][3320/3757] lr: 1.000e-02 eta: 21:03:09 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 6.0034 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2677 loss: 2.2677 2022/06/28 00:08:45 - mmengine - INFO - Epoch(train) [24][3340/3757] lr: 1.000e-02 eta: 21:03:00 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.1133 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0422 loss: 2.0422 2022/06/28 00:08:50 - mmengine - INFO - Epoch(train) [24][3360/3757] lr: 1.000e-02 eta: 21:02:53 time: 0.213 data_time: 0.014 memory: 5148 grad_norm: 4.7839 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0962 loss: 2.0962 2022/06/28 00:08:56 - mmengine - INFO - Epoch(train) [24][3380/3757] lr: 1.000e-02 eta: 21:02:49 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.7431 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1358 loss: 2.1358 2022/06/28 00:09:00 - mmengine - INFO - Epoch(train) [24][3400/3757] lr: 1.000e-02 eta: 21:02:42 time: 0.247 data_time: 0.011 memory: 5148 grad_norm: 5.7044 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0806 loss: 2.0806 2022/06/28 00:09:06 - mmengine - INFO - Epoch(train) [24][3420/3757] lr: 1.000e-02 eta: 21:02:38 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 5.5650 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0950 loss: 2.0950 2022/06/28 00:09:12 - mmengine - INFO - Epoch(train) [24][3440/3757] lr: 1.000e-02 eta: 21:02:35 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.7914 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0885 loss: 2.0885 2022/06/28 00:09:17 - mmengine - INFO - Epoch(train) [24][3460/3757] lr: 1.000e-02 eta: 21:02:28 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 4.9409 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1166 loss: 2.1166 2022/06/28 00:09:23 - mmengine - INFO - Epoch(train) [24][3480/3757] lr: 1.000e-02 eta: 21:02:24 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 5.6371 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0891 loss: 2.0891 2022/06/28 00:09:28 - mmengine - INFO - Epoch(train) [24][3500/3757] lr: 1.000e-02 eta: 21:02:19 time: 0.198 data_time: 0.019 memory: 5148 grad_norm: 5.0073 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1302 loss: 2.1302 2022/06/28 00:09:33 - mmengine - INFO - Epoch(train) [24][3520/3757] lr: 1.000e-02 eta: 21:02:12 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.8502 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3387 loss: 2.3387 2022/06/28 00:09:38 - mmengine - INFO - Epoch(train) [24][3540/3757] lr: 1.000e-02 eta: 21:02:08 time: 0.216 data_time: 0.012 memory: 5148 grad_norm: 6.0004 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3421 loss: 2.3421 2022/06/28 00:09:44 - mmengine - INFO - Epoch(train) [24][3560/3757] lr: 1.000e-02 eta: 21:02:03 time: 0.202 data_time: 0.014 memory: 5148 grad_norm: 5.5171 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1765 loss: 2.1765 2022/06/28 00:09:48 - mmengine - INFO - Epoch(train) [24][3580/3757] lr: 1.000e-02 eta: 21:01:54 time: 0.206 data_time: 0.013 memory: 5148 grad_norm: 5.1326 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9456 loss: 1.9456 2022/06/28 00:09:50 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 00:09:53 - mmengine - INFO - Epoch(train) [24][3600/3757] lr: 1.000e-02 eta: 21:01:48 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 5.7890 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0607 loss: 2.0607 2022/06/28 00:09:58 - mmengine - INFO - Epoch(train) [24][3620/3757] lr: 1.000e-02 eta: 21:01:43 time: 0.196 data_time: 0.013 memory: 5148 grad_norm: 5.9433 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9266 loss: 1.9266 2022/06/28 00:10:04 - mmengine - INFO - Epoch(train) [24][3640/3757] lr: 1.000e-02 eta: 21:01:37 time: 0.193 data_time: 0.013 memory: 5148 grad_norm: 5.7555 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1088 loss: 2.1088 2022/06/28 00:10:09 - mmengine - INFO - Epoch(train) [24][3660/3757] lr: 1.000e-02 eta: 21:01:33 time: 0.208 data_time: 0.006 memory: 5148 grad_norm: 5.5463 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2341 loss: 2.2341 2022/06/28 00:10:15 - mmengine - INFO - Epoch(train) [24][3680/3757] lr: 1.000e-02 eta: 21:01:29 time: 0.202 data_time: 0.015 memory: 5148 grad_norm: 5.8862 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8922 loss: 1.8922 2022/06/28 00:10:20 - mmengine - INFO - Epoch(train) [24][3700/3757] lr: 1.000e-02 eta: 21:01:24 time: 0.530 data_time: 0.007 memory: 5148 grad_norm: 6.0984 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3626 loss: 2.3626 2022/06/28 00:10:25 - mmengine - INFO - Epoch(train) [24][3720/3757] lr: 1.000e-02 eta: 21:01:17 time: 0.215 data_time: 0.006 memory: 5148 grad_norm: 5.4950 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9718 loss: 1.9718 2022/06/28 00:10:31 - mmengine - INFO - Epoch(train) [24][3740/3757] lr: 1.000e-02 eta: 21:01:12 time: 0.198 data_time: 0.018 memory: 5148 grad_norm: 5.4378 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5020 loss: 1.5020 2022/06/28 00:10:34 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 00:10:41 - mmengine - INFO - Epoch(val) [24][20/310] eta: 0:01:06 time: 0.080 data_time: 0.014 memory: 5148 2022/06/28 00:10:45 - mmengine - INFO - Epoch(val) [24][40/310] eta: 0:01:03 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 00:10:51 - mmengine - INFO - Epoch(val) [24][60/310] eta: 0:00:56 time: 0.080 data_time: 0.009 memory: 1367 2022/06/28 00:10:56 - mmengine - INFO - Epoch(val) [24][80/310] eta: 0:00:55 time: 0.083 data_time: 0.005 memory: 1367 2022/06/28 00:11:02 - mmengine - INFO - Epoch(val) [24][100/310] eta: 0:00:50 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 00:11:07 - mmengine - INFO - Epoch(val) [24][120/310] eta: 0:00:42 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 00:11:13 - mmengine - INFO - Epoch(val) [24][140/310] eta: 0:00:45 time: 0.531 data_time: 0.454 memory: 1367 2022/06/28 00:11:17 - mmengine - INFO - Epoch(val) [24][160/310] eta: 0:00:34 time: 0.085 data_time: 0.008 memory: 1367 2022/06/28 00:11:23 - mmengine - INFO - Epoch(val) [24][180/310] eta: 0:00:41 time: 0.864 data_time: 0.792 memory: 1367 2022/06/28 00:11:28 - mmengine - INFO - Epoch(val) [24][200/310] eta: 0:00:25 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 00:11:34 - mmengine - INFO - Epoch(val) [24][220/310] eta: 0:00:26 time: 0.228 data_time: 0.157 memory: 1367 2022/06/28 00:11:38 - mmengine - INFO - Epoch(val) [24][240/310] eta: 0:00:14 time: 0.081 data_time: 0.005 memory: 1367 2022/06/28 00:11:44 - mmengine - INFO - Epoch(val) [24][260/310] eta: 0:00:15 time: 0.382 data_time: 0.311 memory: 1367 2022/06/28 00:11:49 - mmengine - INFO - Epoch(val) [24][280/310] eta: 0:00:06 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 00:11:55 - mmengine - INFO - Epoch(val) [24][300/310] eta: 0:00:03 time: 0.660 data_time: 0.589 memory: 1367 2022/06/28 00:11:58 - mmengine - INFO - Epoch(val) [24][310/310] acc/top1: 0.5428 acc/top5: 0.7878 acc/mean1: 0.5425 2022/06/28 00:12:06 - mmengine - INFO - Epoch(train) [25][20/3757] lr: 1.000e-02 eta: 21:01:04 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.4629 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7032 loss: 1.7032 2022/06/28 00:12:12 - mmengine - INFO - Epoch(train) [25][40/3757] lr: 1.000e-02 eta: 21:00:59 time: 0.321 data_time: 0.023 memory: 5148 grad_norm: 5.9548 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9372 loss: 1.9372 2022/06/28 00:12:17 - mmengine - INFO - Epoch(train) [25][60/3757] lr: 1.000e-02 eta: 21:00:53 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.1065 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2073 loss: 2.2073 2022/06/28 00:12:22 - mmengine - INFO - Epoch(train) [25][80/3757] lr: 1.000e-02 eta: 21:00:48 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 5.3508 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9822 loss: 1.9822 2022/06/28 00:12:28 - mmengine - INFO - Epoch(train) [25][100/3757] lr: 1.000e-02 eta: 21:00:44 time: 0.275 data_time: 0.015 memory: 5148 grad_norm: 6.3803 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9701 loss: 1.9701 2022/06/28 00:12:33 - mmengine - INFO - Epoch(train) [25][120/3757] lr: 1.000e-02 eta: 21:00:38 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 4.8459 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3799 loss: 2.3799 2022/06/28 00:12:38 - mmengine - INFO - Epoch(train) [25][140/3757] lr: 1.000e-02 eta: 21:00:33 time: 0.197 data_time: 0.009 memory: 5148 grad_norm: 5.9403 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0625 loss: 2.0625 2022/06/28 00:12:44 - mmengine - INFO - Epoch(train) [25][160/3757] lr: 1.000e-02 eta: 21:00:29 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.6335 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8302 loss: 1.8302 2022/06/28 00:12:49 - mmengine - INFO - Epoch(train) [25][180/3757] lr: 1.000e-02 eta: 21:00:22 time: 0.191 data_time: 0.008 memory: 5148 grad_norm: 5.9384 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9535 loss: 1.9535 2022/06/28 00:12:54 - mmengine - INFO - Epoch(train) [25][200/3757] lr: 1.000e-02 eta: 21:00:17 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.2908 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1178 loss: 2.1178 2022/06/28 00:13:00 - mmengine - INFO - Epoch(train) [25][220/3757] lr: 1.000e-02 eta: 21:00:15 time: 0.310 data_time: 0.007 memory: 5148 grad_norm: 5.7636 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8814 loss: 1.8814 2022/06/28 00:13:05 - mmengine - INFO - Epoch(train) [25][240/3757] lr: 1.000e-02 eta: 21:00:07 time: 0.191 data_time: 0.011 memory: 5148 grad_norm: 6.2384 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8300 loss: 2.8300 2022/06/28 00:13:10 - mmengine - INFO - Epoch(train) [25][260/3757] lr: 1.000e-02 eta: 21:00:02 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 5.3692 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0915 loss: 2.0915 2022/06/28 00:13:16 - mmengine - INFO - Epoch(train) [25][280/3757] lr: 1.000e-02 eta: 20:59:57 time: 0.214 data_time: 0.006 memory: 5148 grad_norm: 6.3916 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2292 loss: 2.2292 2022/06/28 00:13:21 - mmengine - INFO - Epoch(train) [25][300/3757] lr: 1.000e-02 eta: 20:59:52 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 5.8967 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3943 loss: 2.3943 2022/06/28 00:13:26 - mmengine - INFO - Epoch(train) [25][320/3757] lr: 1.000e-02 eta: 20:59:46 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 5.4921 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3462 loss: 2.3462 2022/06/28 00:13:32 - mmengine - INFO - Epoch(train) [25][340/3757] lr: 1.000e-02 eta: 20:59:43 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 5.6125 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1802 loss: 2.1802 2022/06/28 00:13:37 - mmengine - INFO - Epoch(train) [25][360/3757] lr: 1.000e-02 eta: 20:59:36 time: 0.192 data_time: 0.011 memory: 5148 grad_norm: 5.1904 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7192 loss: 1.7192 2022/06/28 00:13:43 - mmengine - INFO - Epoch(train) [25][380/3757] lr: 1.000e-02 eta: 20:59:32 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 5.8232 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1327 loss: 2.1327 2022/06/28 00:13:48 - mmengine - INFO - Epoch(train) [25][400/3757] lr: 1.000e-02 eta: 20:59:27 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 5.8032 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8649 loss: 1.8649 2022/06/28 00:13:53 - mmengine - INFO - Epoch(train) [25][420/3757] lr: 1.000e-02 eta: 20:59:21 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.2942 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3217 loss: 2.3217 2022/06/28 00:13:58 - mmengine - INFO - Epoch(train) [25][440/3757] lr: 1.000e-02 eta: 20:59:15 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.2292 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0120 loss: 2.0120 2022/06/28 00:14:04 - mmengine - INFO - Epoch(train) [25][460/3757] lr: 1.000e-02 eta: 20:59:10 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 5.4214 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6285 loss: 1.6285 2022/06/28 00:14:09 - mmengine - INFO - Epoch(train) [25][480/3757] lr: 1.000e-02 eta: 20:59:03 time: 0.198 data_time: 0.014 memory: 5148 grad_norm: 5.2531 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3430 loss: 2.3430 2022/06/28 00:14:15 - mmengine - INFO - Epoch(train) [25][500/3757] lr: 1.000e-02 eta: 20:59:00 time: 0.192 data_time: 0.008 memory: 5148 grad_norm: 5.6167 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0514 loss: 2.0514 2022/06/28 00:14:20 - mmengine - INFO - Epoch(train) [25][520/3757] lr: 1.000e-02 eta: 20:58:56 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 5.4167 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8261 loss: 1.8261 2022/06/28 00:14:25 - mmengine - INFO - Epoch(train) [25][540/3757] lr: 1.000e-02 eta: 20:58:49 time: 0.209 data_time: 0.010 memory: 5148 grad_norm: 6.0542 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8355 loss: 1.8355 2022/06/28 00:14:31 - mmengine - INFO - Epoch(train) [25][560/3757] lr: 1.000e-02 eta: 20:58:47 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 5.1558 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0610 loss: 2.0610 2022/06/28 00:14:37 - mmengine - INFO - Epoch(train) [25][580/3757] lr: 1.000e-02 eta: 20:58:42 time: 0.215 data_time: 0.006 memory: 5148 grad_norm: 5.6101 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1272 loss: 2.1272 2022/06/28 00:14:41 - mmengine - INFO - Epoch(train) [25][600/3757] lr: 1.000e-02 eta: 20:58:33 time: 0.205 data_time: 0.013 memory: 5148 grad_norm: 6.0497 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2201 loss: 2.2201 2022/06/28 00:14:47 - mmengine - INFO - Epoch(train) [25][620/3757] lr: 1.000e-02 eta: 20:58:29 time: 0.193 data_time: 0.006 memory: 5148 grad_norm: 5.3105 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8356 loss: 1.8356 2022/06/28 00:14:52 - mmengine - INFO - Epoch(train) [25][640/3757] lr: 1.000e-02 eta: 20:58:25 time: 0.207 data_time: 0.006 memory: 5148 grad_norm: 5.4316 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2340 loss: 2.2340 2022/06/28 00:14:57 - mmengine - INFO - Epoch(train) [25][660/3757] lr: 1.000e-02 eta: 20:58:18 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 5.3139 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8779 loss: 1.8779 2022/06/28 00:15:03 - mmengine - INFO - Epoch(train) [25][680/3757] lr: 1.000e-02 eta: 20:58:14 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 6.1462 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1154 loss: 2.1154 2022/06/28 00:15:09 - mmengine - INFO - Epoch(train) [25][700/3757] lr: 1.000e-02 eta: 20:58:12 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 5.2462 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3473 loss: 2.3473 2022/06/28 00:15:14 - mmengine - INFO - Epoch(train) [25][720/3757] lr: 1.000e-02 eta: 20:58:04 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 5.3557 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.5020 loss: 2.5020 2022/06/28 00:15:19 - mmengine - INFO - Epoch(train) [25][740/3757] lr: 1.000e-02 eta: 20:57:59 time: 0.221 data_time: 0.037 memory: 5148 grad_norm: 5.1672 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6052 loss: 1.6052 2022/06/28 00:15:25 - mmengine - INFO - Epoch(train) [25][760/3757] lr: 1.000e-02 eta: 20:57:54 time: 0.212 data_time: 0.013 memory: 5148 grad_norm: 6.1239 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8875 loss: 1.8875 2022/06/28 00:15:29 - mmengine - INFO - Epoch(train) [25][780/3757] lr: 1.000e-02 eta: 20:57:46 time: 0.199 data_time: 0.013 memory: 5148 grad_norm: 4.8787 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2241 loss: 2.2241 2022/06/28 00:15:35 - mmengine - INFO - Epoch(train) [25][800/3757] lr: 1.000e-02 eta: 20:57:43 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 5.0105 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4721 loss: 2.4721 2022/06/28 00:15:40 - mmengine - INFO - Epoch(train) [25][820/3757] lr: 1.000e-02 eta: 20:57:38 time: 0.277 data_time: 0.027 memory: 5148 grad_norm: 5.9751 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2110 loss: 2.2110 2022/06/28 00:15:44 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 00:15:46 - mmengine - INFO - Epoch(train) [25][840/3757] lr: 1.000e-02 eta: 20:57:32 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 5.3628 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7598 loss: 1.7598 2022/06/28 00:15:51 - mmengine - INFO - Epoch(train) [25][860/3757] lr: 1.000e-02 eta: 20:57:28 time: 0.193 data_time: 0.008 memory: 5148 grad_norm: 5.7467 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8225 loss: 1.8225 2022/06/28 00:15:57 - mmengine - INFO - Epoch(train) [25][880/3757] lr: 1.000e-02 eta: 20:57:24 time: 0.707 data_time: 0.018 memory: 5148 grad_norm: 5.4948 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1090 loss: 2.1090 2022/06/28 00:16:02 - mmengine - INFO - Epoch(train) [25][900/3757] lr: 1.000e-02 eta: 20:57:18 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.7655 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8889 loss: 1.8889 2022/06/28 00:16:07 - mmengine - INFO - Epoch(train) [25][920/3757] lr: 1.000e-02 eta: 20:57:13 time: 0.208 data_time: 0.013 memory: 5148 grad_norm: 5.1943 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9891 loss: 1.9891 2022/06/28 00:16:13 - mmengine - INFO - Epoch(train) [25][940/3757] lr: 1.000e-02 eta: 20:57:08 time: 0.755 data_time: 0.010 memory: 5148 grad_norm: 5.3630 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9182 loss: 1.9182 2022/06/28 00:16:17 - mmengine - INFO - Epoch(train) [25][960/3757] lr: 1.000e-02 eta: 20:57:00 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 5.4728 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2140 loss: 2.2140 2022/06/28 00:16:23 - mmengine - INFO - Epoch(train) [25][980/3757] lr: 1.000e-02 eta: 20:56:55 time: 0.208 data_time: 0.012 memory: 5148 grad_norm: 5.9440 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.0446 loss: 2.0446 2022/06/28 00:16:29 - mmengine - INFO - Epoch(train) [25][1000/3757] lr: 1.000e-02 eta: 20:56:52 time: 0.478 data_time: 0.023 memory: 5148 grad_norm: 5.6480 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1997 loss: 2.1997 2022/06/28 00:16:33 - mmengine - INFO - Epoch(train) [25][1020/3757] lr: 1.000e-02 eta: 20:56:45 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.6290 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4468 loss: 2.4468 2022/06/28 00:16:39 - mmengine - INFO - Epoch(train) [25][1040/3757] lr: 1.000e-02 eta: 20:56:41 time: 0.196 data_time: 0.018 memory: 5148 grad_norm: 5.6440 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0029 loss: 2.0029 2022/06/28 00:16:45 - mmengine - INFO - Epoch(train) [25][1060/3757] lr: 1.000e-02 eta: 20:56:36 time: 0.589 data_time: 0.010 memory: 5148 grad_norm: 5.6341 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2842 loss: 2.2842 2022/06/28 00:16:49 - mmengine - INFO - Epoch(train) [25][1080/3757] lr: 1.000e-02 eta: 20:56:29 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.4510 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9718 loss: 1.9718 2022/06/28 00:16:55 - mmengine - INFO - Epoch(train) [25][1100/3757] lr: 1.000e-02 eta: 20:56:25 time: 0.209 data_time: 0.030 memory: 5148 grad_norm: 4.9080 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4568 loss: 2.4568 2022/06/28 00:17:01 - mmengine - INFO - Epoch(train) [25][1120/3757] lr: 1.000e-02 eta: 20:56:22 time: 0.227 data_time: 0.025 memory: 5148 grad_norm: 6.4753 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9824 loss: 1.9824 2022/06/28 00:17:05 - mmengine - INFO - Epoch(train) [25][1140/3757] lr: 1.000e-02 eta: 20:56:13 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.5018 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6498 loss: 1.6498 2022/06/28 00:17:11 - mmengine - INFO - Epoch(train) [25][1160/3757] lr: 1.000e-02 eta: 20:56:09 time: 0.228 data_time: 0.007 memory: 5148 grad_norm: 5.2762 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1338 loss: 2.1338 2022/06/28 00:17:17 - mmengine - INFO - Epoch(train) [25][1180/3757] lr: 1.000e-02 eta: 20:56:05 time: 0.390 data_time: 0.013 memory: 5148 grad_norm: 5.2214 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2330 loss: 2.2330 2022/06/28 00:17:22 - mmengine - INFO - Epoch(train) [25][1200/3757] lr: 1.000e-02 eta: 20:55:58 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 4.6652 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9728 loss: 1.9728 2022/06/28 00:17:27 - mmengine - INFO - Epoch(train) [25][1220/3757] lr: 1.000e-02 eta: 20:55:54 time: 0.228 data_time: 0.013 memory: 5148 grad_norm: 5.2817 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.7803 loss: 1.7803 2022/06/28 00:17:33 - mmengine - INFO - Epoch(train) [25][1240/3757] lr: 1.000e-02 eta: 20:55:50 time: 1.042 data_time: 0.007 memory: 5148 grad_norm: 5.5209 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0392 loss: 2.0392 2022/06/28 00:17:38 - mmengine - INFO - Epoch(train) [25][1260/3757] lr: 1.000e-02 eta: 20:55:44 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.8232 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6871 loss: 1.6871 2022/06/28 00:17:43 - mmengine - INFO - Epoch(train) [25][1280/3757] lr: 1.000e-02 eta: 20:55:39 time: 0.229 data_time: 0.007 memory: 5148 grad_norm: 5.6196 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8789 loss: 1.8789 2022/06/28 00:17:49 - mmengine - INFO - Epoch(train) [25][1300/3757] lr: 1.000e-02 eta: 20:55:34 time: 1.133 data_time: 0.011 memory: 5148 grad_norm: 5.1500 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4322 loss: 2.4322 2022/06/28 00:17:54 - mmengine - INFO - Epoch(train) [25][1320/3757] lr: 1.000e-02 eta: 20:55:28 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 5.4528 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0476 loss: 2.0476 2022/06/28 00:17:58 - mmengine - INFO - Epoch(train) [25][1340/3757] lr: 1.000e-02 eta: 20:55:19 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 5.0393 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0274 loss: 2.0274 2022/06/28 00:18:04 - mmengine - INFO - Epoch(train) [25][1360/3757] lr: 1.000e-02 eta: 20:55:14 time: 0.480 data_time: 0.019 memory: 5148 grad_norm: 5.5917 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1699 loss: 2.1699 2022/06/28 00:18:08 - mmengine - INFO - Epoch(train) [25][1380/3757] lr: 1.000e-02 eta: 20:55:07 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.6105 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2168 loss: 2.2168 2022/06/28 00:18:14 - mmengine - INFO - Epoch(train) [25][1400/3757] lr: 1.000e-02 eta: 20:55:03 time: 0.604 data_time: 0.013 memory: 5148 grad_norm: 5.0433 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2267 loss: 2.2267 2022/06/28 00:18:19 - mmengine - INFO - Epoch(train) [25][1420/3757] lr: 1.000e-02 eta: 20:54:58 time: 0.202 data_time: 0.019 memory: 5148 grad_norm: 6.4158 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9249 loss: 1.9249 2022/06/28 00:18:25 - mmengine - INFO - Epoch(train) [25][1440/3757] lr: 1.000e-02 eta: 20:54:54 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 5.9719 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7423 loss: 1.7423 2022/06/28 00:18:30 - mmengine - INFO - Epoch(train) [25][1460/3757] lr: 1.000e-02 eta: 20:54:48 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 6.0254 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1893 loss: 2.1893 2022/06/28 00:18:36 - mmengine - INFO - Epoch(train) [25][1480/3757] lr: 1.000e-02 eta: 20:54:44 time: 0.590 data_time: 0.020 memory: 5148 grad_norm: 5.5661 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0508 loss: 2.0508 2022/06/28 00:18:42 - mmengine - INFO - Epoch(train) [25][1500/3757] lr: 1.000e-02 eta: 20:54:40 time: 0.232 data_time: 0.037 memory: 5148 grad_norm: 5.4395 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0232 loss: 2.0232 2022/06/28 00:18:46 - mmengine - INFO - Epoch(train) [25][1520/3757] lr: 1.000e-02 eta: 20:54:33 time: 0.197 data_time: 0.015 memory: 5148 grad_norm: 5.3498 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0157 loss: 2.0157 2022/06/28 00:18:52 - mmengine - INFO - Epoch(train) [25][1540/3757] lr: 1.000e-02 eta: 20:54:30 time: 0.200 data_time: 0.018 memory: 5148 grad_norm: 5.1362 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0431 loss: 2.0431 2022/06/28 00:18:57 - mmengine - INFO - Epoch(train) [25][1560/3757] lr: 1.000e-02 eta: 20:54:24 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 5.5157 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8210 loss: 1.8210 2022/06/28 00:19:03 - mmengine - INFO - Epoch(train) [25][1580/3757] lr: 1.000e-02 eta: 20:54:19 time: 0.212 data_time: 0.018 memory: 5148 grad_norm: 6.0428 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4304 loss: 1.4304 2022/06/28 00:19:08 - mmengine - INFO - Epoch(train) [25][1600/3757] lr: 1.000e-02 eta: 20:54:13 time: 0.220 data_time: 0.020 memory: 5148 grad_norm: 5.7163 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8597 loss: 1.8597 2022/06/28 00:19:13 - mmengine - INFO - Epoch(train) [25][1620/3757] lr: 1.000e-02 eta: 20:54:07 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 5.3816 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2263 loss: 2.2263 2022/06/28 00:19:18 - mmengine - INFO - Epoch(train) [25][1640/3757] lr: 1.000e-02 eta: 20:54:01 time: 0.197 data_time: 0.021 memory: 5148 grad_norm: 5.1628 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0223 loss: 2.0223 2022/06/28 00:19:23 - mmengine - INFO - Epoch(train) [25][1660/3757] lr: 1.000e-02 eta: 20:53:55 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 5.0179 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9380 loss: 1.9380 2022/06/28 00:19:29 - mmengine - INFO - Epoch(train) [25][1680/3757] lr: 1.000e-02 eta: 20:53:50 time: 0.190 data_time: 0.011 memory: 5148 grad_norm: 5.0717 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0811 loss: 2.0811 2022/06/28 00:19:35 - mmengine - INFO - Epoch(train) [25][1700/3757] lr: 1.000e-02 eta: 20:53:47 time: 0.201 data_time: 0.013 memory: 5148 grad_norm: 5.8931 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3551 loss: 2.3551 2022/06/28 00:19:40 - mmengine - INFO - Epoch(train) [25][1720/3757] lr: 1.000e-02 eta: 20:53:42 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 5.6720 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1637 loss: 2.1637 2022/06/28 00:19:45 - mmengine - INFO - Epoch(train) [25][1740/3757] lr: 1.000e-02 eta: 20:53:36 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 4.8242 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0798 loss: 2.0798 2022/06/28 00:19:50 - mmengine - INFO - Epoch(train) [25][1760/3757] lr: 1.000e-02 eta: 20:53:30 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 5.6365 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1679 loss: 2.1679 2022/06/28 00:19:56 - mmengine - INFO - Epoch(train) [25][1780/3757] lr: 1.000e-02 eta: 20:53:25 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 4.7942 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1458 loss: 2.1458 2022/06/28 00:20:01 - mmengine - INFO - Epoch(train) [25][1800/3757] lr: 1.000e-02 eta: 20:53:19 time: 0.214 data_time: 0.010 memory: 5148 grad_norm: 5.4126 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0071 loss: 2.0071 2022/06/28 00:20:06 - mmengine - INFO - Epoch(train) [25][1820/3757] lr: 1.000e-02 eta: 20:53:14 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.8893 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1734 loss: 2.1734 2022/06/28 00:20:10 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 00:20:12 - mmengine - INFO - Epoch(train) [25][1840/3757] lr: 1.000e-02 eta: 20:53:09 time: 0.228 data_time: 0.007 memory: 5148 grad_norm: 5.4998 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0377 loss: 2.0377 2022/06/28 00:20:17 - mmengine - INFO - Epoch(train) [25][1860/3757] lr: 1.000e-02 eta: 20:53:03 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 5.6150 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8612 loss: 1.8612 2022/06/28 00:20:22 - mmengine - INFO - Epoch(train) [25][1880/3757] lr: 1.000e-02 eta: 20:52:59 time: 0.195 data_time: 0.020 memory: 5148 grad_norm: 5.4045 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3326 loss: 2.3326 2022/06/28 00:20:28 - mmengine - INFO - Epoch(train) [25][1900/3757] lr: 1.000e-02 eta: 20:52:54 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 5.3666 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0875 loss: 2.0875 2022/06/28 00:20:33 - mmengine - INFO - Epoch(train) [25][1920/3757] lr: 1.000e-02 eta: 20:52:48 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 5.9891 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3755 loss: 2.3755 2022/06/28 00:20:39 - mmengine - INFO - Epoch(train) [25][1940/3757] lr: 1.000e-02 eta: 20:52:44 time: 0.532 data_time: 0.010 memory: 5148 grad_norm: 5.2721 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7274 loss: 1.7274 2022/06/28 00:20:43 - mmengine - INFO - Epoch(train) [25][1960/3757] lr: 1.000e-02 eta: 20:52:37 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 5.2692 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4426 loss: 2.4426 2022/06/28 00:20:49 - mmengine - INFO - Epoch(train) [25][1980/3757] lr: 1.000e-02 eta: 20:52:33 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 6.0510 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8065 loss: 1.8065 2022/06/28 00:20:55 - mmengine - INFO - Epoch(train) [25][2000/3757] lr: 1.000e-02 eta: 20:52:29 time: 0.218 data_time: 0.044 memory: 5148 grad_norm: 5.9195 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7703 loss: 2.7703 2022/06/28 00:20:59 - mmengine - INFO - Epoch(train) [25][2020/3757] lr: 1.000e-02 eta: 20:52:20 time: 0.211 data_time: 0.013 memory: 5148 grad_norm: 5.3561 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7474 loss: 1.7474 2022/06/28 00:21:04 - mmengine - INFO - Epoch(train) [25][2040/3757] lr: 1.000e-02 eta: 20:52:15 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.2311 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1169 loss: 2.1169 2022/06/28 00:21:10 - mmengine - INFO - Epoch(train) [25][2060/3757] lr: 1.000e-02 eta: 20:52:10 time: 0.338 data_time: 0.010 memory: 5148 grad_norm: 6.0435 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1131 loss: 2.1131 2022/06/28 00:21:16 - mmengine - INFO - Epoch(train) [25][2080/3757] lr: 1.000e-02 eta: 20:52:07 time: 1.163 data_time: 0.014 memory: 5148 grad_norm: 5.3676 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8304 loss: 1.8304 2022/06/28 00:21:20 - mmengine - INFO - Epoch(train) [25][2100/3757] lr: 1.000e-02 eta: 20:51:59 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 5.5388 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9146 loss: 1.9146 2022/06/28 00:21:26 - mmengine - INFO - Epoch(train) [25][2120/3757] lr: 1.000e-02 eta: 20:51:55 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.3292 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3837 loss: 2.3837 2022/06/28 00:21:31 - mmengine - INFO - Epoch(train) [25][2140/3757] lr: 1.000e-02 eta: 20:51:49 time: 0.245 data_time: 0.009 memory: 5148 grad_norm: 6.4328 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2500 loss: 2.2500 2022/06/28 00:21:36 - mmengine - INFO - Epoch(train) [25][2160/3757] lr: 1.000e-02 eta: 20:51:43 time: 0.226 data_time: 0.007 memory: 5148 grad_norm: 5.8893 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0221 loss: 2.0221 2022/06/28 00:21:42 - mmengine - INFO - Epoch(train) [25][2180/3757] lr: 1.000e-02 eta: 20:51:39 time: 0.299 data_time: 0.006 memory: 5148 grad_norm: 5.0280 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8396 loss: 1.8396 2022/06/28 00:21:47 - mmengine - INFO - Epoch(train) [25][2200/3757] lr: 1.000e-02 eta: 20:51:33 time: 0.247 data_time: 0.010 memory: 5148 grad_norm: 4.9223 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0096 loss: 2.0096 2022/06/28 00:21:54 - mmengine - INFO - Epoch(train) [25][2220/3757] lr: 1.000e-02 eta: 20:51:32 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.7360 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1345 loss: 2.1345 2022/06/28 00:21:58 - mmengine - INFO - Epoch(train) [25][2240/3757] lr: 1.000e-02 eta: 20:51:24 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 5.2482 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9409 loss: 1.9409 2022/06/28 00:22:03 - mmengine - INFO - Epoch(train) [25][2260/3757] lr: 1.000e-02 eta: 20:51:17 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 5.3416 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9162 loss: 1.9162 2022/06/28 00:22:08 - mmengine - INFO - Epoch(train) [25][2280/3757] lr: 1.000e-02 eta: 20:51:12 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 6.1587 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4445 loss: 2.4445 2022/06/28 00:22:14 - mmengine - INFO - Epoch(train) [25][2300/3757] lr: 1.000e-02 eta: 20:51:08 time: 0.878 data_time: 0.015 memory: 5148 grad_norm: 5.8371 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1617 loss: 2.1617 2022/06/28 00:22:19 - mmengine - INFO - Epoch(train) [25][2320/3757] lr: 1.000e-02 eta: 20:51:01 time: 0.210 data_time: 0.012 memory: 5148 grad_norm: 5.2352 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1429 loss: 2.1429 2022/06/28 00:22:24 - mmengine - INFO - Epoch(train) [25][2340/3757] lr: 1.000e-02 eta: 20:50:56 time: 0.759 data_time: 0.007 memory: 5148 grad_norm: 5.9334 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1466 loss: 2.1466 2022/06/28 00:22:29 - mmengine - INFO - Epoch(train) [25][2360/3757] lr: 1.000e-02 eta: 20:50:50 time: 0.197 data_time: 0.017 memory: 5148 grad_norm: 5.2690 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9417 loss: 1.9417 2022/06/28 00:22:35 - mmengine - INFO - Epoch(train) [25][2380/3757] lr: 1.000e-02 eta: 20:50:45 time: 0.391 data_time: 0.015 memory: 5148 grad_norm: 5.4179 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5331 loss: 1.5331 2022/06/28 00:22:40 - mmengine - INFO - Epoch(train) [25][2400/3757] lr: 1.000e-02 eta: 20:50:39 time: 0.190 data_time: 0.010 memory: 5148 grad_norm: 5.2934 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4851 loss: 1.4851 2022/06/28 00:22:45 - mmengine - INFO - Epoch(train) [25][2420/3757] lr: 1.000e-02 eta: 20:50:35 time: 0.197 data_time: 0.020 memory: 5148 grad_norm: 5.6372 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0050 loss: 2.0050 2022/06/28 00:22:50 - mmengine - INFO - Epoch(train) [25][2440/3757] lr: 1.000e-02 eta: 20:50:29 time: 0.508 data_time: 0.020 memory: 5148 grad_norm: 5.9969 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0316 loss: 2.0316 2022/06/28 00:22:56 - mmengine - INFO - Epoch(train) [25][2460/3757] lr: 1.000e-02 eta: 20:50:23 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 6.0404 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.3345 loss: 2.3345 2022/06/28 00:23:01 - mmengine - INFO - Epoch(train) [25][2480/3757] lr: 1.000e-02 eta: 20:50:19 time: 0.376 data_time: 0.018 memory: 5148 grad_norm: 5.5980 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1415 loss: 2.1415 2022/06/28 00:23:07 - mmengine - INFO - Epoch(train) [25][2500/3757] lr: 1.000e-02 eta: 20:50:15 time: 0.732 data_time: 0.012 memory: 5148 grad_norm: 5.3161 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9746 loss: 1.9746 2022/06/28 00:23:12 - mmengine - INFO - Epoch(train) [25][2520/3757] lr: 1.000e-02 eta: 20:50:08 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.7009 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6315 loss: 1.6315 2022/06/28 00:23:17 - mmengine - INFO - Epoch(train) [25][2540/3757] lr: 1.000e-02 eta: 20:50:02 time: 0.213 data_time: 0.012 memory: 5148 grad_norm: 5.4920 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7457 loss: 1.7457 2022/06/28 00:23:23 - mmengine - INFO - Epoch(train) [25][2560/3757] lr: 1.000e-02 eta: 20:49:59 time: 0.198 data_time: 0.009 memory: 5148 grad_norm: 4.9537 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1669 loss: 2.1669 2022/06/28 00:23:28 - mmengine - INFO - Epoch(train) [25][2580/3757] lr: 1.000e-02 eta: 20:49:52 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 5.5901 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3043 loss: 2.3043 2022/06/28 00:23:33 - mmengine - INFO - Epoch(train) [25][2600/3757] lr: 1.000e-02 eta: 20:49:48 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 5.6783 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1355 loss: 2.1355 2022/06/28 00:23:39 - mmengine - INFO - Epoch(train) [25][2620/3757] lr: 1.000e-02 eta: 20:49:43 time: 1.069 data_time: 0.007 memory: 5148 grad_norm: 6.6785 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.2391 loss: 2.2391 2022/06/28 00:23:44 - mmengine - INFO - Epoch(train) [25][2640/3757] lr: 1.000e-02 eta: 20:49:37 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.0265 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4852 loss: 2.4852 2022/06/28 00:23:50 - mmengine - INFO - Epoch(train) [25][2660/3757] lr: 1.000e-02 eta: 20:49:33 time: 0.220 data_time: 0.011 memory: 5148 grad_norm: 5.6967 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3964 loss: 2.3964 2022/06/28 00:23:54 - mmengine - INFO - Epoch(train) [25][2680/3757] lr: 1.000e-02 eta: 20:49:26 time: 0.587 data_time: 0.008 memory: 5148 grad_norm: 5.0691 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0369 loss: 2.0369 2022/06/28 00:24:00 - mmengine - INFO - Epoch(train) [25][2700/3757] lr: 1.000e-02 eta: 20:49:20 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.8102 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0187 loss: 2.0187 2022/06/28 00:24:05 - mmengine - INFO - Epoch(train) [25][2720/3757] lr: 1.000e-02 eta: 20:49:17 time: 0.217 data_time: 0.009 memory: 5148 grad_norm: 5.5940 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1271 loss: 2.1271 2022/06/28 00:24:11 - mmengine - INFO - Epoch(train) [25][2740/3757] lr: 1.000e-02 eta: 20:49:11 time: 0.960 data_time: 0.008 memory: 5148 grad_norm: 5.0817 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8157 loss: 1.8157 2022/06/28 00:24:15 - mmengine - INFO - Epoch(train) [25][2760/3757] lr: 1.000e-02 eta: 20:49:04 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.6165 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9822 loss: 1.9822 2022/06/28 00:24:21 - mmengine - INFO - Epoch(train) [25][2780/3757] lr: 1.000e-02 eta: 20:49:01 time: 0.211 data_time: 0.013 memory: 5148 grad_norm: 6.3863 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1628 loss: 2.1628 2022/06/28 00:24:27 - mmengine - INFO - Epoch(train) [25][2800/3757] lr: 1.000e-02 eta: 20:48:56 time: 0.584 data_time: 0.007 memory: 5148 grad_norm: 5.1212 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9231 loss: 1.9231 2022/06/28 00:24:31 - mmengine - INFO - Epoch(train) [25][2820/3757] lr: 1.000e-02 eta: 20:48:48 time: 0.194 data_time: 0.006 memory: 5148 grad_norm: 5.6573 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0990 loss: 2.0990 2022/06/28 00:24:34 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 00:24:36 - mmengine - INFO - Epoch(train) [25][2840/3757] lr: 1.000e-02 eta: 20:48:42 time: 0.190 data_time: 0.007 memory: 5148 grad_norm: 6.0758 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8395 loss: 1.8395 2022/06/28 00:24:42 - mmengine - INFO - Epoch(train) [25][2860/3757] lr: 1.000e-02 eta: 20:48:38 time: 1.250 data_time: 0.007 memory: 5148 grad_norm: 5.3915 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9344 loss: 1.9344 2022/06/28 00:24:47 - mmengine - INFO - Epoch(train) [25][2880/3757] lr: 1.000e-02 eta: 20:48:32 time: 0.714 data_time: 0.007 memory: 5148 grad_norm: 5.3085 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2404 loss: 2.2404 2022/06/28 00:24:53 - mmengine - INFO - Epoch(train) [25][2900/3757] lr: 1.000e-02 eta: 20:48:28 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.2885 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0008 loss: 2.0008 2022/06/28 00:24:58 - mmengine - INFO - Epoch(train) [25][2920/3757] lr: 1.000e-02 eta: 20:48:22 time: 1.047 data_time: 0.009 memory: 5148 grad_norm: 5.3828 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4079 loss: 2.4079 2022/06/28 00:25:03 - mmengine - INFO - Epoch(train) [25][2940/3757] lr: 1.000e-02 eta: 20:48:16 time: 0.230 data_time: 0.006 memory: 5148 grad_norm: 5.7357 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2914 loss: 2.2914 2022/06/28 00:25:08 - mmengine - INFO - Epoch(train) [25][2960/3757] lr: 1.000e-02 eta: 20:48:10 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.4322 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2339 loss: 2.2339 2022/06/28 00:25:14 - mmengine - INFO - Epoch(train) [25][2980/3757] lr: 1.000e-02 eta: 20:48:06 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 5.2438 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1461 loss: 2.1461 2022/06/28 00:25:19 - mmengine - INFO - Epoch(train) [25][3000/3757] lr: 1.000e-02 eta: 20:48:00 time: 0.340 data_time: 0.006 memory: 5148 grad_norm: 5.8181 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0794 loss: 2.0794 2022/06/28 00:25:24 - mmengine - INFO - Epoch(train) [25][3020/3757] lr: 1.000e-02 eta: 20:47:56 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 5.3301 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8235 loss: 1.8235 2022/06/28 00:25:30 - mmengine - INFO - Epoch(train) [25][3040/3757] lr: 1.000e-02 eta: 20:47:50 time: 0.700 data_time: 0.010 memory: 5148 grad_norm: 5.7080 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1782 loss: 2.1782 2022/06/28 00:25:35 - mmengine - INFO - Epoch(train) [25][3060/3757] lr: 1.000e-02 eta: 20:47:45 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.3686 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0447 loss: 2.0447 2022/06/28 00:25:40 - mmengine - INFO - Epoch(train) [25][3080/3757] lr: 1.000e-02 eta: 20:47:39 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.4317 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9347 loss: 1.9347 2022/06/28 00:25:46 - mmengine - INFO - Epoch(train) [25][3100/3757] lr: 1.000e-02 eta: 20:47:34 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 5.0944 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1088 loss: 2.1088 2022/06/28 00:25:51 - mmengine - INFO - Epoch(train) [25][3120/3757] lr: 1.000e-02 eta: 20:47:30 time: 0.403 data_time: 0.009 memory: 5148 grad_norm: 5.5101 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9960 loss: 1.9960 2022/06/28 00:25:56 - mmengine - INFO - Epoch(train) [25][3140/3757] lr: 1.000e-02 eta: 20:47:23 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 6.0428 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9115 loss: 1.9115 2022/06/28 00:26:02 - mmengine - INFO - Epoch(train) [25][3160/3757] lr: 1.000e-02 eta: 20:47:19 time: 0.338 data_time: 0.016 memory: 5148 grad_norm: 5.7637 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2984 loss: 2.2984 2022/06/28 00:26:07 - mmengine - INFO - Epoch(train) [25][3180/3757] lr: 1.000e-02 eta: 20:47:14 time: 0.361 data_time: 0.007 memory: 5148 grad_norm: 5.3807 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5354 loss: 1.5354 2022/06/28 00:26:12 - mmengine - INFO - Epoch(train) [25][3200/3757] lr: 1.000e-02 eta: 20:47:07 time: 0.201 data_time: 0.009 memory: 5148 grad_norm: 5.2613 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7897 loss: 1.7897 2022/06/28 00:26:18 - mmengine - INFO - Epoch(train) [25][3220/3757] lr: 1.000e-02 eta: 20:47:05 time: 0.195 data_time: 0.012 memory: 5148 grad_norm: 5.6689 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7951 loss: 1.7951 2022/06/28 00:26:24 - mmengine - INFO - Epoch(train) [25][3240/3757] lr: 1.000e-02 eta: 20:47:00 time: 0.208 data_time: 0.006 memory: 5148 grad_norm: 5.4160 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9340 loss: 1.9340 2022/06/28 00:26:28 - mmengine - INFO - Epoch(train) [25][3260/3757] lr: 1.000e-02 eta: 20:46:52 time: 0.212 data_time: 0.006 memory: 5148 grad_norm: 5.6230 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.4113 loss: 2.4113 2022/06/28 00:26:34 - mmengine - INFO - Epoch(train) [25][3280/3757] lr: 1.000e-02 eta: 20:46:47 time: 0.201 data_time: 0.016 memory: 5148 grad_norm: 5.4166 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0129 loss: 2.0129 2022/06/28 00:26:39 - mmengine - INFO - Epoch(train) [25][3300/3757] lr: 1.000e-02 eta: 20:46:42 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 6.0860 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0846 loss: 2.0846 2022/06/28 00:26:44 - mmengine - INFO - Epoch(train) [25][3320/3757] lr: 1.000e-02 eta: 20:46:36 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.7674 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0090 loss: 2.0090 2022/06/28 00:26:50 - mmengine - INFO - Epoch(train) [25][3340/3757] lr: 1.000e-02 eta: 20:46:32 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 6.5939 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1655 loss: 2.1655 2022/06/28 00:26:55 - mmengine - INFO - Epoch(train) [25][3360/3757] lr: 1.000e-02 eta: 20:46:27 time: 0.247 data_time: 0.009 memory: 5148 grad_norm: 5.6218 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5270 loss: 2.5270 2022/06/28 00:27:00 - mmengine - INFO - Epoch(train) [25][3380/3757] lr: 1.000e-02 eta: 20:46:20 time: 0.194 data_time: 0.006 memory: 5148 grad_norm: 5.3914 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0721 loss: 2.0721 2022/06/28 00:27:06 - mmengine - INFO - Epoch(train) [25][3400/3757] lr: 1.000e-02 eta: 20:46:16 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.0784 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1423 loss: 2.1423 2022/06/28 00:27:11 - mmengine - INFO - Epoch(train) [25][3420/3757] lr: 1.000e-02 eta: 20:46:10 time: 0.449 data_time: 0.006 memory: 5148 grad_norm: 6.0122 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6038 loss: 2.6038 2022/06/28 00:27:16 - mmengine - INFO - Epoch(train) [25][3440/3757] lr: 1.000e-02 eta: 20:46:05 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.3683 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.9388 loss: 1.9388 2022/06/28 00:27:21 - mmengine - INFO - Epoch(train) [25][3460/3757] lr: 1.000e-02 eta: 20:45:59 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 5.8741 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0827 loss: 2.0827 2022/06/28 00:27:27 - mmengine - INFO - Epoch(train) [25][3480/3757] lr: 1.000e-02 eta: 20:45:55 time: 0.207 data_time: 0.012 memory: 5148 grad_norm: 6.3577 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2305 loss: 2.2305 2022/06/28 00:27:32 - mmengine - INFO - Epoch(train) [25][3500/3757] lr: 1.000e-02 eta: 20:45:49 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.3111 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9971 loss: 1.9971 2022/06/28 00:27:37 - mmengine - INFO - Epoch(train) [25][3520/3757] lr: 1.000e-02 eta: 20:45:44 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 5.8696 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9191 loss: 1.9191 2022/06/28 00:27:43 - mmengine - INFO - Epoch(train) [25][3540/3757] lr: 1.000e-02 eta: 20:45:41 time: 0.202 data_time: 0.018 memory: 5148 grad_norm: 5.4735 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3629 loss: 2.3629 2022/06/28 00:27:48 - mmengine - INFO - Epoch(train) [25][3560/3757] lr: 1.000e-02 eta: 20:45:34 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 6.0022 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8230 loss: 1.8230 2022/06/28 00:27:55 - mmengine - INFO - Epoch(train) [25][3580/3757] lr: 1.000e-02 eta: 20:45:32 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 6.2822 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0112 loss: 2.0112 2022/06/28 00:27:59 - mmengine - INFO - Epoch(train) [25][3600/3757] lr: 1.000e-02 eta: 20:45:24 time: 0.515 data_time: 0.024 memory: 5148 grad_norm: 6.2094 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5358 loss: 2.5358 2022/06/28 00:28:04 - mmengine - INFO - Epoch(train) [25][3620/3757] lr: 1.000e-02 eta: 20:45:18 time: 0.234 data_time: 0.006 memory: 5148 grad_norm: 5.9370 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1294 loss: 2.1294 2022/06/28 00:28:10 - mmengine - INFO - Epoch(train) [25][3640/3757] lr: 1.000e-02 eta: 20:45:14 time: 0.200 data_time: 0.026 memory: 5148 grad_norm: 5.3181 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2539 loss: 2.2539 2022/06/28 00:28:15 - mmengine - INFO - Epoch(train) [25][3660/3757] lr: 1.000e-02 eta: 20:45:09 time: 0.202 data_time: 0.017 memory: 5148 grad_norm: 5.2141 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8355 loss: 1.8355 2022/06/28 00:28:20 - mmengine - INFO - Epoch(train) [25][3680/3757] lr: 1.000e-02 eta: 20:45:02 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 6.4172 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0979 loss: 2.0979 2022/06/28 00:28:26 - mmengine - INFO - Epoch(train) [25][3700/3757] lr: 1.000e-02 eta: 20:44:58 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 5.3544 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2020 loss: 2.2020 2022/06/28 00:28:31 - mmengine - INFO - Epoch(train) [25][3720/3757] lr: 1.000e-02 eta: 20:44:53 time: 0.197 data_time: 0.019 memory: 5148 grad_norm: 5.5220 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9491 loss: 1.9491 2022/06/28 00:28:36 - mmengine - INFO - Epoch(train) [25][3740/3757] lr: 1.000e-02 eta: 20:44:47 time: 0.236 data_time: 0.007 memory: 5148 grad_norm: 5.7558 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9304 loss: 1.9304 2022/06/28 00:28:40 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 00:28:40 - mmengine - INFO - Saving checkpoint at 25 epochs 2022/06/28 00:28:50 - mmengine - INFO - Epoch(val) [25][20/310] eta: 0:01:10 time: 0.165 data_time: 0.084 memory: 5148 2022/06/28 00:28:54 - mmengine - INFO - Epoch(val) [25][40/310] eta: 0:00:53 time: 0.080 data_time: 0.009 memory: 1367 2022/06/28 00:29:00 - mmengine - INFO - Epoch(val) [25][60/310] eta: 0:00:52 time: 0.086 data_time: 0.009 memory: 1367 2022/06/28 00:29:05 - mmengine - INFO - Epoch(val) [25][80/310] eta: 0:00:58 time: 0.100 data_time: 0.024 memory: 1367 2022/06/28 00:29:10 - mmengine - INFO - Epoch(val) [25][100/310] eta: 0:00:47 time: 0.083 data_time: 0.009 memory: 1367 2022/06/28 00:29:15 - mmengine - INFO - Epoch(val) [25][120/310] eta: 0:00:47 time: 0.353 data_time: 0.276 memory: 1367 2022/06/28 00:29:22 - mmengine - INFO - Epoch(val) [25][140/310] eta: 0:00:54 time: 0.981 data_time: 0.909 memory: 1367 2022/06/28 00:29:26 - mmengine - INFO - Epoch(val) [25][160/310] eta: 0:00:33 time: 0.245 data_time: 0.173 memory: 1367 2022/06/28 00:29:32 - mmengine - INFO - Epoch(val) [25][180/310] eta: 0:00:45 time: 1.104 data_time: 1.033 memory: 1367 2022/06/28 00:29:37 - mmengine - INFO - Epoch(val) [25][200/310] eta: 0:00:25 time: 0.094 data_time: 0.017 memory: 1367 2022/06/28 00:29:43 - mmengine - INFO - Epoch(val) [25][220/310] eta: 0:00:28 time: 0.275 data_time: 0.203 memory: 1367 2022/06/28 00:29:47 - mmengine - INFO - Epoch(val) [25][240/310] eta: 0:00:15 time: 0.083 data_time: 0.012 memory: 1367 2022/06/28 00:29:53 - mmengine - INFO - Epoch(val) [25][260/310] eta: 0:00:15 time: 0.083 data_time: 0.012 memory: 1367 2022/06/28 00:29:58 - mmengine - INFO - Epoch(val) [25][280/310] eta: 0:00:07 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 00:30:02 - mmengine - INFO - Epoch(val) [25][300/310] eta: 0:00:01 time: 0.085 data_time: 0.008 memory: 1367 2022/06/28 00:30:05 - mmengine - INFO - Epoch(val) [25][310/310] acc/top1: 0.5454 acc/top5: 0.7926 acc/mean1: 0.5453 2022/06/28 00:30:14 - mmengine - INFO - Epoch(train) [26][20/3757] lr: 1.000e-02 eta: 20:44:40 time: 0.190 data_time: 0.007 memory: 5148 grad_norm: 5.4374 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7982 loss: 1.7982 2022/06/28 00:30:19 - mmengine - INFO - Epoch(train) [26][40/3757] lr: 1.000e-02 eta: 20:44:37 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 5.1048 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1637 loss: 2.1637 2022/06/28 00:30:24 - mmengine - INFO - Epoch(train) [26][60/3757] lr: 1.000e-02 eta: 20:44:31 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.3973 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8574 loss: 1.8574 2022/06/28 00:30:29 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 00:30:30 - mmengine - INFO - Epoch(train) [26][80/3757] lr: 1.000e-02 eta: 20:44:25 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 5.0077 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4105 loss: 2.4105 2022/06/28 00:30:35 - mmengine - INFO - Epoch(train) [26][100/3757] lr: 1.000e-02 eta: 20:44:20 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 5.4690 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8419 loss: 1.8419 2022/06/28 00:30:40 - mmengine - INFO - Epoch(train) [26][120/3757] lr: 1.000e-02 eta: 20:44:13 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.3949 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2628 loss: 2.2628 2022/06/28 00:30:46 - mmengine - INFO - Epoch(train) [26][140/3757] lr: 1.000e-02 eta: 20:44:09 time: 0.190 data_time: 0.007 memory: 5148 grad_norm: 5.8517 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9370 loss: 1.9370 2022/06/28 00:30:51 - mmengine - INFO - Epoch(train) [26][160/3757] lr: 1.000e-02 eta: 20:44:04 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.7158 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8628 loss: 1.8628 2022/06/28 00:30:56 - mmengine - INFO - Epoch(train) [26][180/3757] lr: 1.000e-02 eta: 20:43:58 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 4.8712 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7026 loss: 1.7026 2022/06/28 00:31:02 - mmengine - INFO - Epoch(train) [26][200/3757] lr: 1.000e-02 eta: 20:43:56 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 5.4322 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1421 loss: 2.1421 2022/06/28 00:31:08 - mmengine - INFO - Epoch(train) [26][220/3757] lr: 1.000e-02 eta: 20:43:52 time: 0.210 data_time: 0.010 memory: 5148 grad_norm: 5.1744 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8270 loss: 1.8270 2022/06/28 00:31:13 - mmengine - INFO - Epoch(train) [26][240/3757] lr: 1.000e-02 eta: 20:43:44 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 6.4860 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2658 loss: 2.2658 2022/06/28 00:31:18 - mmengine - INFO - Epoch(train) [26][260/3757] lr: 1.000e-02 eta: 20:43:39 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.5710 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.0820 loss: 2.0820 2022/06/28 00:31:23 - mmengine - INFO - Epoch(train) [26][280/3757] lr: 1.000e-02 eta: 20:43:34 time: 0.220 data_time: 0.007 memory: 5148 grad_norm: 5.4648 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1359 loss: 2.1359 2022/06/28 00:31:28 - mmengine - INFO - Epoch(train) [26][300/3757] lr: 1.000e-02 eta: 20:43:28 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 5.5050 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1036 loss: 2.1036 2022/06/28 00:31:34 - mmengine - INFO - Epoch(train) [26][320/3757] lr: 1.000e-02 eta: 20:43:24 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 5.4258 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0916 loss: 2.0916 2022/06/28 00:31:40 - mmengine - INFO - Epoch(train) [26][340/3757] lr: 1.000e-02 eta: 20:43:19 time: 0.294 data_time: 0.008 memory: 5148 grad_norm: 4.9305 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9350 loss: 1.9350 2022/06/28 00:31:45 - mmengine - INFO - Epoch(train) [26][360/3757] lr: 1.000e-02 eta: 20:43:13 time: 0.189 data_time: 0.009 memory: 5148 grad_norm: 5.3754 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.0787 loss: 2.0787 2022/06/28 00:31:50 - mmengine - INFO - Epoch(train) [26][380/3757] lr: 1.000e-02 eta: 20:43:09 time: 0.194 data_time: 0.013 memory: 5148 grad_norm: 5.4842 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9950 loss: 1.9950 2022/06/28 00:31:56 - mmengine - INFO - Epoch(train) [26][400/3757] lr: 1.000e-02 eta: 20:43:03 time: 0.378 data_time: 0.006 memory: 5148 grad_norm: 5.4391 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1056 loss: 2.1056 2022/06/28 00:32:01 - mmengine - INFO - Epoch(train) [26][420/3757] lr: 1.000e-02 eta: 20:42:57 time: 0.192 data_time: 0.010 memory: 5148 grad_norm: 5.9995 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1467 loss: 2.1467 2022/06/28 00:32:06 - mmengine - INFO - Epoch(train) [26][440/3757] lr: 1.000e-02 eta: 20:42:53 time: 0.188 data_time: 0.007 memory: 5148 grad_norm: 6.6318 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8006 loss: 1.8006 2022/06/28 00:32:11 - mmengine - INFO - Epoch(train) [26][460/3757] lr: 1.000e-02 eta: 20:42:47 time: 0.660 data_time: 0.007 memory: 5148 grad_norm: 5.2655 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3602 loss: 2.3602 2022/06/28 00:32:16 - mmengine - INFO - Epoch(train) [26][480/3757] lr: 1.000e-02 eta: 20:42:40 time: 0.195 data_time: 0.013 memory: 5148 grad_norm: 6.6559 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9565 loss: 1.9565 2022/06/28 00:32:23 - mmengine - INFO - Epoch(train) [26][500/3757] lr: 1.000e-02 eta: 20:42:39 time: 0.282 data_time: 0.094 memory: 5148 grad_norm: 5.1105 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2832 loss: 2.2832 2022/06/28 00:32:28 - mmengine - INFO - Epoch(train) [26][520/3757] lr: 1.000e-02 eta: 20:42:32 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 4.9756 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0088 loss: 2.0088 2022/06/28 00:32:33 - mmengine - INFO - Epoch(train) [26][540/3757] lr: 1.000e-02 eta: 20:42:27 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 5.3488 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9077 loss: 1.9077 2022/06/28 00:32:38 - mmengine - INFO - Epoch(train) [26][560/3757] lr: 1.000e-02 eta: 20:42:22 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 6.0853 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0243 loss: 2.0243 2022/06/28 00:32:44 - mmengine - INFO - Epoch(train) [26][580/3757] lr: 1.000e-02 eta: 20:42:17 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 4.8108 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1215 loss: 2.1215 2022/06/28 00:32:49 - mmengine - INFO - Epoch(train) [26][600/3757] lr: 1.000e-02 eta: 20:42:12 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.2156 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9947 loss: 1.9947 2022/06/28 00:32:54 - mmengine - INFO - Epoch(train) [26][620/3757] lr: 1.000e-02 eta: 20:42:06 time: 0.196 data_time: 0.019 memory: 5148 grad_norm: 5.9613 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9282 loss: 1.9282 2022/06/28 00:33:00 - mmengine - INFO - Epoch(train) [26][640/3757] lr: 1.000e-02 eta: 20:42:01 time: 0.188 data_time: 0.006 memory: 5148 grad_norm: 5.3871 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3631 loss: 2.3631 2022/06/28 00:33:05 - mmengine - INFO - Epoch(train) [26][660/3757] lr: 1.000e-02 eta: 20:41:56 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 6.0077 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8276 loss: 1.8276 2022/06/28 00:33:11 - mmengine - INFO - Epoch(train) [26][680/3757] lr: 1.000e-02 eta: 20:41:51 time: 0.209 data_time: 0.013 memory: 5148 grad_norm: 6.3245 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2539 loss: 2.2539 2022/06/28 00:33:16 - mmengine - INFO - Epoch(train) [26][700/3757] lr: 1.000e-02 eta: 20:41:44 time: 0.204 data_time: 0.015 memory: 5148 grad_norm: 5.3494 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5672 loss: 1.5672 2022/06/28 00:33:21 - mmengine - INFO - Epoch(train) [26][720/3757] lr: 1.000e-02 eta: 20:41:39 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 5.4341 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0379 loss: 2.0379 2022/06/28 00:33:27 - mmengine - INFO - Epoch(train) [26][740/3757] lr: 1.000e-02 eta: 20:41:35 time: 0.198 data_time: 0.017 memory: 5148 grad_norm: 5.7829 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9984 loss: 1.9984 2022/06/28 00:33:31 - mmengine - INFO - Epoch(train) [26][760/3757] lr: 1.000e-02 eta: 20:41:28 time: 0.214 data_time: 0.011 memory: 5148 grad_norm: 5.6766 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2898 loss: 2.2898 2022/06/28 00:33:37 - mmengine - INFO - Epoch(train) [26][780/3757] lr: 1.000e-02 eta: 20:41:24 time: 0.204 data_time: 0.012 memory: 5148 grad_norm: 5.1748 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0404 loss: 2.0404 2022/06/28 00:33:43 - mmengine - INFO - Epoch(train) [26][800/3757] lr: 1.000e-02 eta: 20:41:21 time: 0.195 data_time: 0.015 memory: 5148 grad_norm: 5.2795 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1413 loss: 2.1413 2022/06/28 00:33:48 - mmengine - INFO - Epoch(train) [26][820/3757] lr: 1.000e-02 eta: 20:41:13 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 5.0604 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7295 loss: 1.7295 2022/06/28 00:33:53 - mmengine - INFO - Epoch(train) [26][840/3757] lr: 1.000e-02 eta: 20:41:09 time: 0.204 data_time: 0.015 memory: 5148 grad_norm: 5.3756 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0156 loss: 2.0156 2022/06/28 00:33:59 - mmengine - INFO - Epoch(train) [26][860/3757] lr: 1.000e-02 eta: 20:41:05 time: 0.198 data_time: 0.016 memory: 5148 grad_norm: 5.9296 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2492 loss: 2.2492 2022/06/28 00:34:04 - mmengine - INFO - Epoch(train) [26][880/3757] lr: 1.000e-02 eta: 20:40:59 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.9562 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0037 loss: 2.0037 2022/06/28 00:34:09 - mmengine - INFO - Epoch(train) [26][900/3757] lr: 1.000e-02 eta: 20:40:53 time: 0.202 data_time: 0.013 memory: 5148 grad_norm: 6.0085 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5415 loss: 2.5415 2022/06/28 00:34:14 - mmengine - INFO - Epoch(train) [26][920/3757] lr: 1.000e-02 eta: 20:40:47 time: 0.202 data_time: 0.015 memory: 5148 grad_norm: 5.4560 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9342 loss: 1.9342 2022/06/28 00:34:20 - mmengine - INFO - Epoch(train) [26][940/3757] lr: 1.000e-02 eta: 20:40:42 time: 0.201 data_time: 0.017 memory: 5148 grad_norm: 6.0178 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3286 loss: 2.3286 2022/06/28 00:34:25 - mmengine - INFO - Epoch(train) [26][960/3757] lr: 1.000e-02 eta: 20:40:36 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 6.0215 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.9284 loss: 1.9284 2022/06/28 00:34:30 - mmengine - INFO - Epoch(train) [26][980/3757] lr: 1.000e-02 eta: 20:40:31 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.1746 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7397 loss: 1.7397 2022/06/28 00:34:36 - mmengine - INFO - Epoch(train) [26][1000/3757] lr: 1.000e-02 eta: 20:40:27 time: 0.201 data_time: 0.022 memory: 5148 grad_norm: 5.3228 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1028 loss: 2.1028 2022/06/28 00:34:41 - mmengine - INFO - Epoch(train) [26][1020/3757] lr: 1.000e-02 eta: 20:40:20 time: 0.205 data_time: 0.006 memory: 5148 grad_norm: 5.6371 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1087 loss: 2.1087 2022/06/28 00:34:46 - mmengine - INFO - Epoch(train) [26][1040/3757] lr: 1.000e-02 eta: 20:40:16 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 5.6863 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7331 loss: 1.7331 2022/06/28 00:34:52 - mmengine - INFO - Epoch(train) [26][1060/3757] lr: 1.000e-02 eta: 20:40:12 time: 0.202 data_time: 0.016 memory: 5148 grad_norm: 5.2163 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4235 loss: 2.4235 2022/06/28 00:34:56 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 00:34:57 - mmengine - INFO - Epoch(train) [26][1080/3757] lr: 1.000e-02 eta: 20:40:04 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.9984 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1554 loss: 2.1554 2022/06/28 00:35:02 - mmengine - INFO - Epoch(train) [26][1100/3757] lr: 1.000e-02 eta: 20:39:59 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.4854 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1529 loss: 2.1529 2022/06/28 00:35:08 - mmengine - INFO - Epoch(train) [26][1120/3757] lr: 1.000e-02 eta: 20:39:55 time: 0.198 data_time: 0.018 memory: 5148 grad_norm: 5.2857 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3860 loss: 2.3860 2022/06/28 00:35:12 - mmengine - INFO - Epoch(train) [26][1140/3757] lr: 1.000e-02 eta: 20:39:48 time: 0.195 data_time: 0.006 memory: 5148 grad_norm: 5.6182 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9459 loss: 1.9459 2022/06/28 00:35:18 - mmengine - INFO - Epoch(train) [26][1160/3757] lr: 1.000e-02 eta: 20:39:44 time: 0.499 data_time: 0.006 memory: 5148 grad_norm: 5.7015 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3384 loss: 2.3384 2022/06/28 00:35:23 - mmengine - INFO - Epoch(train) [26][1180/3757] lr: 1.000e-02 eta: 20:39:38 time: 0.197 data_time: 0.009 memory: 5148 grad_norm: 6.0738 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1404 loss: 2.1404 2022/06/28 00:35:28 - mmengine - INFO - Epoch(train) [26][1200/3757] lr: 1.000e-02 eta: 20:39:32 time: 0.189 data_time: 0.008 memory: 5148 grad_norm: 5.5008 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0202 loss: 2.0202 2022/06/28 00:35:34 - mmengine - INFO - Epoch(train) [26][1220/3757] lr: 1.000e-02 eta: 20:39:28 time: 0.344 data_time: 0.008 memory: 5148 grad_norm: 5.6332 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1582 loss: 2.1582 2022/06/28 00:35:39 - mmengine - INFO - Epoch(train) [26][1240/3757] lr: 1.000e-02 eta: 20:39:22 time: 0.213 data_time: 0.009 memory: 5148 grad_norm: 4.9242 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9945 loss: 1.9945 2022/06/28 00:35:44 - mmengine - INFO - Epoch(train) [26][1260/3757] lr: 1.000e-02 eta: 20:39:17 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 5.7238 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8702 loss: 1.8702 2022/06/28 00:35:50 - mmengine - INFO - Epoch(train) [26][1280/3757] lr: 1.000e-02 eta: 20:39:11 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.4998 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4303 loss: 2.4303 2022/06/28 00:35:55 - mmengine - INFO - Epoch(train) [26][1300/3757] lr: 1.000e-02 eta: 20:39:05 time: 0.208 data_time: 0.010 memory: 5148 grad_norm: 5.6134 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9175 loss: 1.9175 2022/06/28 00:36:00 - mmengine - INFO - Epoch(train) [26][1320/3757] lr: 1.000e-02 eta: 20:39:00 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.2860 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8054 loss: 1.8054 2022/06/28 00:36:05 - mmengine - INFO - Epoch(train) [26][1340/3757] lr: 1.000e-02 eta: 20:38:55 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.0708 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8457 loss: 1.8457 2022/06/28 00:36:11 - mmengine - INFO - Epoch(train) [26][1360/3757] lr: 1.000e-02 eta: 20:38:49 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.8327 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2318 loss: 2.2318 2022/06/28 00:36:16 - mmengine - INFO - Epoch(train) [26][1380/3757] lr: 1.000e-02 eta: 20:38:44 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 5.0754 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1375 loss: 2.1375 2022/06/28 00:36:21 - mmengine - INFO - Epoch(train) [26][1400/3757] lr: 1.000e-02 eta: 20:38:39 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.0691 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8255 loss: 1.8255 2022/06/28 00:36:26 - mmengine - INFO - Epoch(train) [26][1420/3757] lr: 1.000e-02 eta: 20:38:33 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 5.4938 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9260 loss: 1.9260 2022/06/28 00:36:32 - mmengine - INFO - Epoch(train) [26][1440/3757] lr: 1.000e-02 eta: 20:38:29 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.6401 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9082 loss: 1.9082 2022/06/28 00:36:37 - mmengine - INFO - Epoch(train) [26][1460/3757] lr: 1.000e-02 eta: 20:38:23 time: 0.228 data_time: 0.010 memory: 5148 grad_norm: 5.8401 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8481 loss: 1.8481 2022/06/28 00:36:42 - mmengine - INFO - Epoch(train) [26][1480/3757] lr: 1.000e-02 eta: 20:38:17 time: 0.193 data_time: 0.012 memory: 5148 grad_norm: 5.1157 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0859 loss: 2.0859 2022/06/28 00:36:47 - mmengine - INFO - Epoch(train) [26][1500/3757] lr: 1.000e-02 eta: 20:38:11 time: 0.204 data_time: 0.013 memory: 5148 grad_norm: 5.4479 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9259 loss: 1.9259 2022/06/28 00:36:53 - mmengine - INFO - Epoch(train) [26][1520/3757] lr: 1.000e-02 eta: 20:38:07 time: 0.282 data_time: 0.011 memory: 5148 grad_norm: 5.9184 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4635 loss: 2.4635 2022/06/28 00:36:58 - mmengine - INFO - Epoch(train) [26][1540/3757] lr: 1.000e-02 eta: 20:38:00 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 5.7304 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5736 loss: 2.5736 2022/06/28 00:37:03 - mmengine - INFO - Epoch(train) [26][1560/3757] lr: 1.000e-02 eta: 20:37:56 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.2656 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8283 loss: 1.8283 2022/06/28 00:37:09 - mmengine - INFO - Epoch(train) [26][1580/3757] lr: 1.000e-02 eta: 20:37:50 time: 0.521 data_time: 0.006 memory: 5148 grad_norm: 5.7352 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3932 loss: 2.3932 2022/06/28 00:37:14 - mmengine - INFO - Epoch(train) [26][1600/3757] lr: 1.000e-02 eta: 20:37:44 time: 0.193 data_time: 0.013 memory: 5148 grad_norm: 4.1136 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0858 loss: 2.0858 2022/06/28 00:37:19 - mmengine - INFO - Epoch(train) [26][1620/3757] lr: 1.000e-02 eta: 20:37:38 time: 0.195 data_time: 0.009 memory: 5148 grad_norm: 5.7270 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0003 loss: 2.0003 2022/06/28 00:37:25 - mmengine - INFO - Epoch(train) [26][1640/3757] lr: 1.000e-02 eta: 20:37:34 time: 0.370 data_time: 0.007 memory: 5148 grad_norm: 5.4413 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0566 loss: 2.0566 2022/06/28 00:37:30 - mmengine - INFO - Epoch(train) [26][1660/3757] lr: 1.000e-02 eta: 20:37:28 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.6150 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7818 loss: 1.7818 2022/06/28 00:37:35 - mmengine - INFO - Epoch(train) [26][1680/3757] lr: 1.000e-02 eta: 20:37:23 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 4.9391 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1713 loss: 2.1713 2022/06/28 00:37:40 - mmengine - INFO - Epoch(train) [26][1700/3757] lr: 1.000e-02 eta: 20:37:18 time: 0.673 data_time: 0.010 memory: 5148 grad_norm: 5.8926 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7776 loss: 1.7776 2022/06/28 00:37:45 - mmengine - INFO - Epoch(train) [26][1720/3757] lr: 1.000e-02 eta: 20:37:11 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.8554 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4667 loss: 2.4667 2022/06/28 00:37:51 - mmengine - INFO - Epoch(train) [26][1740/3757] lr: 1.000e-02 eta: 20:37:06 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 5.4362 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9044 loss: 1.9044 2022/06/28 00:37:56 - mmengine - INFO - Epoch(train) [26][1760/3757] lr: 1.000e-02 eta: 20:37:01 time: 0.829 data_time: 0.014 memory: 5148 grad_norm: 5.3131 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7918 loss: 1.7918 2022/06/28 00:38:01 - mmengine - INFO - Epoch(train) [26][1780/3757] lr: 1.000e-02 eta: 20:36:54 time: 0.193 data_time: 0.006 memory: 5148 grad_norm: 5.3609 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7926 loss: 1.7926 2022/06/28 00:38:06 - mmengine - INFO - Epoch(train) [26][1800/3757] lr: 1.000e-02 eta: 20:36:49 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 5.9710 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9590 loss: 1.9590 2022/06/28 00:38:12 - mmengine - INFO - Epoch(train) [26][1820/3757] lr: 1.000e-02 eta: 20:36:44 time: 1.005 data_time: 0.013 memory: 5148 grad_norm: 5.5496 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9847 loss: 1.9847 2022/06/28 00:38:17 - mmengine - INFO - Epoch(train) [26][1840/3757] lr: 1.000e-02 eta: 20:36:38 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.3199 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2940 loss: 2.2940 2022/06/28 00:38:22 - mmengine - INFO - Epoch(train) [26][1860/3757] lr: 1.000e-02 eta: 20:36:33 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 5.7102 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6901 loss: 1.6901 2022/06/28 00:38:27 - mmengine - INFO - Epoch(train) [26][1880/3757] lr: 1.000e-02 eta: 20:36:28 time: 0.224 data_time: 0.006 memory: 5148 grad_norm: 6.1889 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8129 loss: 1.8129 2022/06/28 00:38:32 - mmengine - INFO - Epoch(train) [26][1900/3757] lr: 1.000e-02 eta: 20:36:21 time: 0.209 data_time: 0.017 memory: 5148 grad_norm: 5.1740 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2501 loss: 2.2501 2022/06/28 00:38:38 - mmengine - INFO - Epoch(train) [26][1920/3757] lr: 1.000e-02 eta: 20:36:16 time: 0.188 data_time: 0.009 memory: 5148 grad_norm: 5.1126 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7254 loss: 1.7254 2022/06/28 00:38:44 - mmengine - INFO - Epoch(train) [26][1940/3757] lr: 1.000e-02 eta: 20:36:13 time: 1.342 data_time: 0.007 memory: 5148 grad_norm: 5.7145 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5490 loss: 2.5490 2022/06/28 00:38:48 - mmengine - INFO - Epoch(train) [26][1960/3757] lr: 1.000e-02 eta: 20:36:05 time: 0.201 data_time: 0.013 memory: 5148 grad_norm: 5.5673 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1132 loss: 2.1132 2022/06/28 00:38:54 - mmengine - INFO - Epoch(train) [26][1980/3757] lr: 1.000e-02 eta: 20:36:00 time: 0.203 data_time: 0.013 memory: 5148 grad_norm: 5.5457 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4143 loss: 2.4143 2022/06/28 00:38:59 - mmengine - INFO - Epoch(train) [26][2000/3757] lr: 1.000e-02 eta: 20:35:55 time: 0.542 data_time: 0.007 memory: 5148 grad_norm: 5.2124 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9317 loss: 1.9317 2022/06/28 00:39:04 - mmengine - INFO - Epoch(train) [26][2020/3757] lr: 1.000e-02 eta: 20:35:49 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 6.6082 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3800 loss: 2.3800 2022/06/28 00:39:09 - mmengine - INFO - Epoch(train) [26][2040/3757] lr: 1.000e-02 eta: 20:35:43 time: 0.195 data_time: 0.013 memory: 5148 grad_norm: 5.5963 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0426 loss: 2.0426 2022/06/28 00:39:15 - mmengine - INFO - Epoch(train) [26][2060/3757] lr: 1.000e-02 eta: 20:35:38 time: 0.221 data_time: 0.008 memory: 5148 grad_norm: 5.8520 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5309 loss: 2.5309 2022/06/28 00:39:18 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 00:39:19 - mmengine - INFO - Epoch(train) [26][2080/3757] lr: 1.000e-02 eta: 20:35:32 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.3027 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7875 loss: 1.7875 2022/06/28 00:39:25 - mmengine - INFO - Epoch(train) [26][2100/3757] lr: 1.000e-02 eta: 20:35:27 time: 0.212 data_time: 0.024 memory: 5148 grad_norm: 6.2964 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1144 loss: 2.1144 2022/06/28 00:39:30 - mmengine - INFO - Epoch(train) [26][2120/3757] lr: 1.000e-02 eta: 20:35:22 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 6.1679 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9350 loss: 1.9350 2022/06/28 00:39:35 - mmengine - INFO - Epoch(train) [26][2140/3757] lr: 1.000e-02 eta: 20:35:16 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 5.8205 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1600 loss: 2.1600 2022/06/28 00:39:41 - mmengine - INFO - Epoch(train) [26][2160/3757] lr: 1.000e-02 eta: 20:35:10 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 6.1796 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1464 loss: 2.1464 2022/06/28 00:39:46 - mmengine - INFO - Epoch(train) [26][2180/3757] lr: 1.000e-02 eta: 20:35:05 time: 0.206 data_time: 0.015 memory: 5148 grad_norm: 4.9453 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0100 loss: 2.0100 2022/06/28 00:39:51 - mmengine - INFO - Epoch(train) [26][2200/3757] lr: 1.000e-02 eta: 20:34:59 time: 0.196 data_time: 0.012 memory: 5148 grad_norm: 4.9594 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3379 loss: 2.3379 2022/06/28 00:39:57 - mmengine - INFO - Epoch(train) [26][2220/3757] lr: 1.000e-02 eta: 20:34:55 time: 0.217 data_time: 0.006 memory: 5148 grad_norm: 5.1056 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0488 loss: 2.0488 2022/06/28 00:40:01 - mmengine - INFO - Epoch(train) [26][2240/3757] lr: 1.000e-02 eta: 20:34:47 time: 0.193 data_time: 0.006 memory: 5148 grad_norm: 5.5928 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0381 loss: 2.0381 2022/06/28 00:40:07 - mmengine - INFO - Epoch(train) [26][2260/3757] lr: 1.000e-02 eta: 20:34:43 time: 0.195 data_time: 0.006 memory: 5148 grad_norm: 6.1592 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8993 loss: 1.8993 2022/06/28 00:40:12 - mmengine - INFO - Epoch(train) [26][2280/3757] lr: 1.000e-02 eta: 20:34:38 time: 0.202 data_time: 0.012 memory: 5148 grad_norm: 5.3456 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7830 loss: 1.7830 2022/06/28 00:40:17 - mmengine - INFO - Epoch(train) [26][2300/3757] lr: 1.000e-02 eta: 20:34:32 time: 0.196 data_time: 0.006 memory: 5148 grad_norm: 4.9561 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0494 loss: 2.0494 2022/06/28 00:40:23 - mmengine - INFO - Epoch(train) [26][2320/3757] lr: 1.000e-02 eta: 20:34:29 time: 0.206 data_time: 0.012 memory: 5148 grad_norm: 6.0403 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6542 loss: 1.6542 2022/06/28 00:40:29 - mmengine - INFO - Epoch(train) [26][2340/3757] lr: 1.000e-02 eta: 20:34:24 time: 0.229 data_time: 0.022 memory: 5148 grad_norm: 6.3234 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2331 loss: 2.2331 2022/06/28 00:40:34 - mmengine - INFO - Epoch(train) [26][2360/3757] lr: 1.000e-02 eta: 20:34:18 time: 0.199 data_time: 0.014 memory: 5148 grad_norm: 5.8769 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6975 loss: 1.6975 2022/06/28 00:40:39 - mmengine - INFO - Epoch(train) [26][2380/3757] lr: 1.000e-02 eta: 20:34:12 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 6.1670 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9884 loss: 1.9884 2022/06/28 00:40:44 - mmengine - INFO - Epoch(train) [26][2400/3757] lr: 1.000e-02 eta: 20:34:07 time: 0.210 data_time: 0.029 memory: 5148 grad_norm: 6.4694 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9466 loss: 1.9466 2022/06/28 00:40:49 - mmengine - INFO - Epoch(train) [26][2420/3757] lr: 1.000e-02 eta: 20:33:59 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 5.1072 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8459 loss: 1.8459 2022/06/28 00:40:54 - mmengine - INFO - Epoch(train) [26][2440/3757] lr: 1.000e-02 eta: 20:33:55 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.5088 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4943 loss: 2.4943 2022/06/28 00:41:00 - mmengine - INFO - Epoch(train) [26][2460/3757] lr: 1.000e-02 eta: 20:33:50 time: 0.201 data_time: 0.012 memory: 5148 grad_norm: 4.9672 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1277 loss: 2.1277 2022/06/28 00:41:05 - mmengine - INFO - Epoch(train) [26][2480/3757] lr: 1.000e-02 eta: 20:33:44 time: 0.190 data_time: 0.007 memory: 5148 grad_norm: 5.1441 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9823 loss: 1.9823 2022/06/28 00:41:10 - mmengine - INFO - Epoch(train) [26][2500/3757] lr: 1.000e-02 eta: 20:33:37 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 6.0368 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1780 loss: 2.1780 2022/06/28 00:41:15 - mmengine - INFO - Epoch(train) [26][2520/3757] lr: 1.000e-02 eta: 20:33:32 time: 0.196 data_time: 0.014 memory: 5148 grad_norm: 5.4257 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2185 loss: 2.2185 2022/06/28 00:41:20 - mmengine - INFO - Epoch(train) [26][2540/3757] lr: 1.000e-02 eta: 20:33:26 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 5.3958 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0422 loss: 2.0422 2022/06/28 00:41:26 - mmengine - INFO - Epoch(train) [26][2560/3757] lr: 1.000e-02 eta: 20:33:21 time: 0.192 data_time: 0.008 memory: 5148 grad_norm: 6.0740 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3616 loss: 2.3616 2022/06/28 00:41:31 - mmengine - INFO - Epoch(train) [26][2580/3757] lr: 1.000e-02 eta: 20:33:16 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 6.2113 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2813 loss: 2.2813 2022/06/28 00:41:36 - mmengine - INFO - Epoch(train) [26][2600/3757] lr: 1.000e-02 eta: 20:33:10 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 6.2783 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1304 loss: 2.1304 2022/06/28 00:41:42 - mmengine - INFO - Epoch(train) [26][2620/3757] lr: 1.000e-02 eta: 20:33:05 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 5.4826 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7876 loss: 1.7876 2022/06/28 00:41:47 - mmengine - INFO - Epoch(train) [26][2640/3757] lr: 1.000e-02 eta: 20:33:01 time: 0.235 data_time: 0.007 memory: 5148 grad_norm: 5.0567 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0783 loss: 2.0783 2022/06/28 00:41:52 - mmengine - INFO - Epoch(train) [26][2660/3757] lr: 1.000e-02 eta: 20:32:54 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 5.4741 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0857 loss: 2.0857 2022/06/28 00:41:57 - mmengine - INFO - Epoch(train) [26][2680/3757] lr: 1.000e-02 eta: 20:32:49 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.4002 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1150 loss: 2.1150 2022/06/28 00:42:03 - mmengine - INFO - Epoch(train) [26][2700/3757] lr: 1.000e-02 eta: 20:32:44 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.2908 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2261 loss: 2.2261 2022/06/28 00:42:08 - mmengine - INFO - Epoch(train) [26][2720/3757] lr: 1.000e-02 eta: 20:32:39 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 5.4756 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9957 loss: 1.9957 2022/06/28 00:42:14 - mmengine - INFO - Epoch(train) [26][2740/3757] lr: 1.000e-02 eta: 20:32:34 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.3889 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0836 loss: 2.0836 2022/06/28 00:42:18 - mmengine - INFO - Epoch(train) [26][2760/3757] lr: 1.000e-02 eta: 20:32:27 time: 0.204 data_time: 0.013 memory: 5148 grad_norm: 6.0619 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2644 loss: 2.2644 2022/06/28 00:42:24 - mmengine - INFO - Epoch(train) [26][2780/3757] lr: 1.000e-02 eta: 20:32:23 time: 0.190 data_time: 0.007 memory: 5148 grad_norm: 6.6121 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8397 loss: 1.8397 2022/06/28 00:42:29 - mmengine - INFO - Epoch(train) [26][2800/3757] lr: 1.000e-02 eta: 20:32:17 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 5.8168 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0224 loss: 2.0224 2022/06/28 00:42:34 - mmengine - INFO - Epoch(train) [26][2820/3757] lr: 1.000e-02 eta: 20:32:11 time: 0.220 data_time: 0.013 memory: 5148 grad_norm: 5.4030 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8725 loss: 1.8725 2022/06/28 00:42:39 - mmengine - INFO - Epoch(train) [26][2840/3757] lr: 1.000e-02 eta: 20:32:05 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.9649 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2618 loss: 2.2618 2022/06/28 00:42:45 - mmengine - INFO - Epoch(train) [26][2860/3757] lr: 1.000e-02 eta: 20:32:00 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.9625 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3042 loss: 2.3042 2022/06/28 00:42:49 - mmengine - INFO - Epoch(train) [26][2880/3757] lr: 1.000e-02 eta: 20:31:53 time: 0.208 data_time: 0.010 memory: 5148 grad_norm: 4.9553 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5603 loss: 2.5603 2022/06/28 00:42:55 - mmengine - INFO - Epoch(train) [26][2900/3757] lr: 1.000e-02 eta: 20:31:48 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.0848 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.0324 loss: 2.0324 2022/06/28 00:43:01 - mmengine - INFO - Epoch(train) [26][2920/3757] lr: 1.000e-02 eta: 20:31:44 time: 0.194 data_time: 0.011 memory: 5148 grad_norm: 5.3990 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0445 loss: 2.0445 2022/06/28 00:43:06 - mmengine - INFO - Epoch(train) [26][2940/3757] lr: 1.000e-02 eta: 20:31:38 time: 0.862 data_time: 0.013 memory: 5148 grad_norm: 5.7595 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1695 loss: 2.1695 2022/06/28 00:43:10 - mmengine - INFO - Epoch(train) [26][2960/3757] lr: 1.000e-02 eta: 20:31:31 time: 0.200 data_time: 0.009 memory: 5148 grad_norm: 6.1325 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.7224 loss: 1.7224 2022/06/28 00:43:16 - mmengine - INFO - Epoch(train) [26][2980/3757] lr: 1.000e-02 eta: 20:31:28 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 5.5123 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.4949 loss: 2.4949 2022/06/28 00:43:22 - mmengine - INFO - Epoch(train) [26][3000/3757] lr: 1.000e-02 eta: 20:31:22 time: 0.364 data_time: 0.012 memory: 5148 grad_norm: 5.6536 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6666 loss: 2.6666 2022/06/28 00:43:27 - mmengine - INFO - Epoch(train) [26][3020/3757] lr: 1.000e-02 eta: 20:31:18 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 5.4903 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0658 loss: 2.0658 2022/06/28 00:43:33 - mmengine - INFO - Epoch(train) [26][3040/3757] lr: 1.000e-02 eta: 20:31:13 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 6.2307 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0549 loss: 2.0549 2022/06/28 00:43:38 - mmengine - INFO - Epoch(train) [26][3060/3757] lr: 1.000e-02 eta: 20:31:07 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 5.7063 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4688 loss: 2.4688 2022/06/28 00:43:42 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 00:43:43 - mmengine - INFO - Epoch(train) [26][3080/3757] lr: 1.000e-02 eta: 20:31:02 time: 0.223 data_time: 0.007 memory: 5148 grad_norm: 5.2212 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2901 loss: 2.2901 2022/06/28 00:43:49 - mmengine - INFO - Epoch(train) [26][3100/3757] lr: 1.000e-02 eta: 20:30:58 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 5.3802 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4653 loss: 2.4653 2022/06/28 00:43:54 - mmengine - INFO - Epoch(train) [26][3120/3757] lr: 1.000e-02 eta: 20:30:52 time: 0.236 data_time: 0.007 memory: 5148 grad_norm: 6.5253 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0698 loss: 2.0698 2022/06/28 00:43:59 - mmengine - INFO - Epoch(train) [26][3140/3757] lr: 1.000e-02 eta: 20:30:46 time: 0.207 data_time: 0.006 memory: 5148 grad_norm: 6.1010 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0155 loss: 2.0155 2022/06/28 00:44:05 - mmengine - INFO - Epoch(train) [26][3160/3757] lr: 1.000e-02 eta: 20:30:42 time: 0.196 data_time: 0.016 memory: 5148 grad_norm: 5.4983 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6451 loss: 1.6451 2022/06/28 00:44:09 - mmengine - INFO - Epoch(train) [26][3180/3757] lr: 1.000e-02 eta: 20:30:35 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 5.7937 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.8713 loss: 1.8713 2022/06/28 00:44:15 - mmengine - INFO - Epoch(train) [26][3200/3757] lr: 1.000e-02 eta: 20:30:30 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.1013 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9997 loss: 1.9997 2022/06/28 00:44:20 - mmengine - INFO - Epoch(train) [26][3220/3757] lr: 1.000e-02 eta: 20:30:25 time: 0.199 data_time: 0.015 memory: 5148 grad_norm: 5.5410 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9657 loss: 1.9657 2022/06/28 00:44:25 - mmengine - INFO - Epoch(train) [26][3240/3757] lr: 1.000e-02 eta: 20:30:18 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.5853 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4030 loss: 2.4030 2022/06/28 00:44:31 - mmengine - INFO - Epoch(train) [26][3260/3757] lr: 1.000e-02 eta: 20:30:14 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 5.7062 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3315 loss: 2.3315 2022/06/28 00:44:36 - mmengine - INFO - Epoch(train) [26][3280/3757] lr: 1.000e-02 eta: 20:30:09 time: 0.213 data_time: 0.010 memory: 5148 grad_norm: 6.3288 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1224 loss: 2.1224 2022/06/28 00:44:41 - mmengine - INFO - Epoch(train) [26][3300/3757] lr: 1.000e-02 eta: 20:30:02 time: 0.194 data_time: 0.011 memory: 5148 grad_norm: 5.7658 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2444 loss: 2.2444 2022/06/28 00:44:47 - mmengine - INFO - Epoch(train) [26][3320/3757] lr: 1.000e-02 eta: 20:29:59 time: 0.205 data_time: 0.006 memory: 5148 grad_norm: 5.6352 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0962 loss: 2.0962 2022/06/28 00:44:52 - mmengine - INFO - Epoch(train) [26][3340/3757] lr: 1.000e-02 eta: 20:29:54 time: 0.410 data_time: 0.013 memory: 5148 grad_norm: 6.0717 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.9687 loss: 1.9687 2022/06/28 00:44:58 - mmengine - INFO - Epoch(train) [26][3360/3757] lr: 1.000e-02 eta: 20:29:48 time: 0.196 data_time: 0.009 memory: 5148 grad_norm: 6.1634 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2667 loss: 2.2667 2022/06/28 00:45:04 - mmengine - INFO - Epoch(train) [26][3380/3757] lr: 1.000e-02 eta: 20:29:45 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 6.0589 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0115 loss: 2.0115 2022/06/28 00:45:09 - mmengine - INFO - Epoch(train) [26][3400/3757] lr: 1.000e-02 eta: 20:29:39 time: 0.216 data_time: 0.021 memory: 5148 grad_norm: 5.4360 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.2596 loss: 2.2596 2022/06/28 00:45:14 - mmengine - INFO - Epoch(train) [26][3420/3757] lr: 1.000e-02 eta: 20:29:32 time: 0.215 data_time: 0.034 memory: 5148 grad_norm: 5.6006 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1819 loss: 2.1819 2022/06/28 00:45:19 - mmengine - INFO - Epoch(train) [26][3440/3757] lr: 1.000e-02 eta: 20:29:27 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 5.7842 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9859 loss: 1.9859 2022/06/28 00:45:25 - mmengine - INFO - Epoch(train) [26][3460/3757] lr: 1.000e-02 eta: 20:29:23 time: 0.211 data_time: 0.013 memory: 5148 grad_norm: 6.1830 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0325 loss: 2.0325 2022/06/28 00:45:29 - mmengine - INFO - Epoch(train) [26][3480/3757] lr: 1.000e-02 eta: 20:29:15 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 5.3619 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0856 loss: 2.0856 2022/06/28 00:45:35 - mmengine - INFO - Epoch(train) [26][3500/3757] lr: 1.000e-02 eta: 20:29:11 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 5.5846 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5370 loss: 1.5370 2022/06/28 00:45:40 - mmengine - INFO - Epoch(train) [26][3520/3757] lr: 1.000e-02 eta: 20:29:05 time: 0.290 data_time: 0.010 memory: 5148 grad_norm: 5.9873 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8565 loss: 1.8565 2022/06/28 00:45:45 - mmengine - INFO - Epoch(train) [26][3540/3757] lr: 1.000e-02 eta: 20:28:59 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.7130 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0914 loss: 2.0914 2022/06/28 00:45:50 - mmengine - INFO - Epoch(train) [26][3560/3757] lr: 1.000e-02 eta: 20:28:54 time: 0.201 data_time: 0.013 memory: 5148 grad_norm: 4.7122 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8272 loss: 1.8272 2022/06/28 00:45:56 - mmengine - INFO - Epoch(train) [26][3580/3757] lr: 1.000e-02 eta: 20:28:50 time: 0.208 data_time: 0.016 memory: 5148 grad_norm: 5.4088 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9487 loss: 1.9487 2022/06/28 00:46:01 - mmengine - INFO - Epoch(train) [26][3600/3757] lr: 1.000e-02 eta: 20:28:43 time: 0.200 data_time: 0.013 memory: 5148 grad_norm: 5.9720 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6397 loss: 1.6397 2022/06/28 00:46:07 - mmengine - INFO - Epoch(train) [26][3620/3757] lr: 1.000e-02 eta: 20:28:39 time: 0.223 data_time: 0.044 memory: 5148 grad_norm: 4.9994 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1708 loss: 2.1708 2022/06/28 00:46:11 - mmengine - INFO - Epoch(train) [26][3640/3757] lr: 1.000e-02 eta: 20:28:32 time: 0.344 data_time: 0.019 memory: 5148 grad_norm: 6.2781 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2090 loss: 2.2090 2022/06/28 00:46:17 - mmengine - INFO - Epoch(train) [26][3660/3757] lr: 1.000e-02 eta: 20:28:27 time: 0.204 data_time: 0.013 memory: 5148 grad_norm: 5.7338 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.0537 loss: 2.0537 2022/06/28 00:46:22 - mmengine - INFO - Epoch(train) [26][3680/3757] lr: 1.000e-02 eta: 20:28:23 time: 0.195 data_time: 0.006 memory: 5148 grad_norm: 5.5588 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1855 loss: 2.1855 2022/06/28 00:46:27 - mmengine - INFO - Epoch(train) [26][3700/3757] lr: 1.000e-02 eta: 20:28:16 time: 0.223 data_time: 0.022 memory: 5148 grad_norm: 5.4923 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.6608 loss: 1.6608 2022/06/28 00:46:33 - mmengine - INFO - Epoch(train) [26][3720/3757] lr: 1.000e-02 eta: 20:28:11 time: 0.192 data_time: 0.014 memory: 5148 grad_norm: 5.6453 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0471 loss: 2.0471 2022/06/28 00:46:38 - mmengine - INFO - Epoch(train) [26][3740/3757] lr: 1.000e-02 eta: 20:28:07 time: 0.197 data_time: 0.009 memory: 5148 grad_norm: 6.0443 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0087 loss: 2.0087 2022/06/28 00:46:42 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 00:46:49 - mmengine - INFO - Epoch(val) [26][20/310] eta: 0:01:07 time: 0.076 data_time: 0.005 memory: 5148 2022/06/28 00:46:53 - mmengine - INFO - Epoch(val) [26][40/310] eta: 0:00:59 time: 0.086 data_time: 0.009 memory: 1367 2022/06/28 00:46:59 - mmengine - INFO - Epoch(val) [26][60/310] eta: 0:00:55 time: 0.078 data_time: 0.005 memory: 1367 2022/06/28 00:47:04 - mmengine - INFO - Epoch(val) [26][80/310] eta: 0:00:56 time: 0.418 data_time: 0.303 memory: 1367 2022/06/28 00:47:10 - mmengine - INFO - Epoch(val) [26][100/310] eta: 0:00:48 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 00:47:14 - mmengine - INFO - Epoch(val) [26][120/310] eta: 0:00:41 time: 0.086 data_time: 0.009 memory: 1367 2022/06/28 00:47:20 - mmengine - INFO - Epoch(val) [26][140/310] eta: 0:00:39 time: 0.075 data_time: 0.005 memory: 1367 2022/06/28 00:47:25 - mmengine - INFO - Epoch(val) [26][160/310] eta: 0:00:38 time: 0.446 data_time: 0.369 memory: 1367 2022/06/28 00:47:31 - mmengine - INFO - Epoch(val) [26][180/310] eta: 0:00:36 time: 0.506 data_time: 0.433 memory: 1367 2022/06/28 00:47:35 - mmengine - INFO - Epoch(val) [26][200/310] eta: 0:00:26 time: 0.309 data_time: 0.233 memory: 1367 2022/06/28 00:47:41 - mmengine - INFO - Epoch(val) [26][220/310] eta: 0:00:26 time: 0.081 data_time: 0.005 memory: 1367 2022/06/28 00:47:45 - mmengine - INFO - Epoch(val) [26][240/310] eta: 0:00:15 time: 0.086 data_time: 0.009 memory: 1367 2022/06/28 00:47:51 - mmengine - INFO - Epoch(val) [26][260/310] eta: 0:00:14 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 00:47:56 - mmengine - INFO - Epoch(val) [26][280/310] eta: 0:00:07 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 00:48:02 - mmengine - INFO - Epoch(val) [26][300/310] eta: 0:00:03 time: 0.083 data_time: 0.005 memory: 1367 2022/06/28 00:48:05 - mmengine - INFO - Epoch(val) [26][310/310] acc/top1: 0.5474 acc/top5: 0.7930 acc/mean1: 0.5473 2022/06/28 00:48:13 - mmengine - INFO - Epoch(train) [27][20/3757] lr: 1.000e-02 eta: 20:27:58 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.1912 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7215 loss: 1.7215 2022/06/28 00:48:19 - mmengine - INFO - Epoch(train) [27][40/3757] lr: 1.000e-02 eta: 20:27:55 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.2547 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5767 loss: 2.5767 2022/06/28 00:48:24 - mmengine - INFO - Epoch(train) [27][60/3757] lr: 1.000e-02 eta: 20:27:48 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.9237 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0361 loss: 2.0361 2022/06/28 00:48:29 - mmengine - INFO - Epoch(train) [27][80/3757] lr: 1.000e-02 eta: 20:27:43 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 6.1666 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1382 loss: 2.1382 2022/06/28 00:48:35 - mmengine - INFO - Epoch(train) [27][100/3757] lr: 1.000e-02 eta: 20:27:40 time: 0.523 data_time: 0.349 memory: 5148 grad_norm: 5.4224 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9990 loss: 1.9990 2022/06/28 00:48:40 - mmengine - INFO - Epoch(train) [27][120/3757] lr: 1.000e-02 eta: 20:27:34 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.0651 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1789 loss: 2.1789 2022/06/28 00:48:46 - mmengine - INFO - Epoch(train) [27][140/3757] lr: 1.000e-02 eta: 20:27:30 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.2950 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9574 loss: 1.9574 2022/06/28 00:48:52 - mmengine - INFO - Epoch(train) [27][160/3757] lr: 1.000e-02 eta: 20:27:25 time: 0.884 data_time: 0.709 memory: 5148 grad_norm: 5.9166 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9185 loss: 1.9185 2022/06/28 00:48:57 - mmengine - INFO - Epoch(train) [27][180/3757] lr: 1.000e-02 eta: 20:27:20 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 6.3081 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7149 loss: 2.7149 2022/06/28 00:49:02 - mmengine - INFO - Epoch(train) [27][200/3757] lr: 1.000e-02 eta: 20:27:14 time: 0.206 data_time: 0.006 memory: 5148 grad_norm: 6.4320 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2564 loss: 2.2564 2022/06/28 00:49:07 - mmengine - INFO - Epoch(train) [27][220/3757] lr: 1.000e-02 eta: 20:27:09 time: 0.316 data_time: 0.138 memory: 5148 grad_norm: 5.0373 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0049 loss: 2.0049 2022/06/28 00:49:12 - mmengine - INFO - Epoch(train) [27][240/3757] lr: 1.000e-02 eta: 20:27:03 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 5.5778 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2652 loss: 2.2652 2022/06/28 00:49:18 - mmengine - INFO - Epoch(train) [27][260/3757] lr: 1.000e-02 eta: 20:26:58 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 4.8186 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1216 loss: 2.1216 2022/06/28 00:49:23 - mmengine - INFO - Epoch(train) [27][280/3757] lr: 1.000e-02 eta: 20:26:54 time: 0.471 data_time: 0.289 memory: 5148 grad_norm: 5.3148 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8969 loss: 1.8969 2022/06/28 00:49:29 - mmengine - INFO - Epoch(train) [27][300/3757] lr: 1.000e-02 eta: 20:26:48 time: 0.222 data_time: 0.007 memory: 5148 grad_norm: 5.2002 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7438 loss: 1.7438 2022/06/28 00:49:34 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 00:49:35 - mmengine - INFO - Epoch(train) [27][320/3757] lr: 1.000e-02 eta: 20:26:45 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.7576 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0647 loss: 2.0647 2022/06/28 00:49:40 - mmengine - INFO - Epoch(train) [27][340/3757] lr: 1.000e-02 eta: 20:26:38 time: 0.405 data_time: 0.222 memory: 5148 grad_norm: 5.4594 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0995 loss: 2.0995 2022/06/28 00:49:44 - mmengine - INFO - Epoch(train) [27][360/3757] lr: 1.000e-02 eta: 20:26:31 time: 0.208 data_time: 0.012 memory: 5148 grad_norm: 4.6977 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0340 loss: 2.0340 2022/06/28 00:49:50 - mmengine - INFO - Epoch(train) [27][380/3757] lr: 1.000e-02 eta: 20:26:26 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.2080 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4845 loss: 2.4845 2022/06/28 00:49:55 - mmengine - INFO - Epoch(train) [27][400/3757] lr: 1.000e-02 eta: 20:26:22 time: 0.225 data_time: 0.044 memory: 5148 grad_norm: 5.5706 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7176 loss: 1.7176 2022/06/28 00:50:00 - mmengine - INFO - Epoch(train) [27][420/3757] lr: 1.000e-02 eta: 20:26:15 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 6.3784 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4831 loss: 2.4831 2022/06/28 00:50:06 - mmengine - INFO - Epoch(train) [27][440/3757] lr: 1.000e-02 eta: 20:26:10 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.1322 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.3403 loss: 2.3403 2022/06/28 00:50:11 - mmengine - INFO - Epoch(train) [27][460/3757] lr: 1.000e-02 eta: 20:26:05 time: 0.209 data_time: 0.035 memory: 5148 grad_norm: 6.7422 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0912 loss: 2.0912 2022/06/28 00:50:16 - mmengine - INFO - Epoch(train) [27][480/3757] lr: 1.000e-02 eta: 20:25:59 time: 0.201 data_time: 0.014 memory: 5148 grad_norm: 5.3016 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7217 loss: 1.7217 2022/06/28 00:50:21 - mmengine - INFO - Epoch(train) [27][500/3757] lr: 1.000e-02 eta: 20:25:54 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.2068 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2272 loss: 2.2272 2022/06/28 00:50:27 - mmengine - INFO - Epoch(train) [27][520/3757] lr: 1.000e-02 eta: 20:25:50 time: 0.193 data_time: 0.017 memory: 5148 grad_norm: 4.9591 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0920 loss: 2.0920 2022/06/28 00:50:32 - mmengine - INFO - Epoch(train) [27][540/3757] lr: 1.000e-02 eta: 20:25:43 time: 0.201 data_time: 0.016 memory: 5148 grad_norm: 5.4793 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8691 loss: 1.8691 2022/06/28 00:50:38 - mmengine - INFO - Epoch(train) [27][560/3757] lr: 1.000e-02 eta: 20:25:39 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 5.3736 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9803 loss: 1.9803 2022/06/28 00:50:43 - mmengine - INFO - Epoch(train) [27][580/3757] lr: 1.000e-02 eta: 20:25:34 time: 0.200 data_time: 0.026 memory: 5148 grad_norm: 5.8410 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6635 loss: 1.6635 2022/06/28 00:50:48 - mmengine - INFO - Epoch(train) [27][600/3757] lr: 1.000e-02 eta: 20:25:27 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 6.1819 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9267 loss: 1.9267 2022/06/28 00:50:54 - mmengine - INFO - Epoch(train) [27][620/3757] lr: 1.000e-02 eta: 20:25:24 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.6852 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3149 loss: 2.3149 2022/06/28 00:50:59 - mmengine - INFO - Epoch(train) [27][640/3757] lr: 1.000e-02 eta: 20:25:19 time: 0.203 data_time: 0.016 memory: 5148 grad_norm: 5.8440 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9987 loss: 1.9987 2022/06/28 00:51:04 - mmengine - INFO - Epoch(train) [27][660/3757] lr: 1.000e-02 eta: 20:25:13 time: 0.265 data_time: 0.009 memory: 5148 grad_norm: 5.8952 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0107 loss: 2.0107 2022/06/28 00:51:10 - mmengine - INFO - Epoch(train) [27][680/3757] lr: 1.000e-02 eta: 20:25:08 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 5.6113 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8101 loss: 1.8101 2022/06/28 00:51:16 - mmengine - INFO - Epoch(train) [27][700/3757] lr: 1.000e-02 eta: 20:25:04 time: 0.214 data_time: 0.012 memory: 5148 grad_norm: 5.8090 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3613 loss: 2.3613 2022/06/28 00:51:20 - mmengine - INFO - Epoch(train) [27][720/3757] lr: 1.000e-02 eta: 20:24:57 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 6.0965 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1910 loss: 2.1910 2022/06/28 00:51:25 - mmengine - INFO - Epoch(train) [27][740/3757] lr: 1.000e-02 eta: 20:24:52 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 5.6799 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2094 loss: 2.2094 2022/06/28 00:51:31 - mmengine - INFO - Epoch(train) [27][760/3757] lr: 1.000e-02 eta: 20:24:46 time: 0.241 data_time: 0.058 memory: 5148 grad_norm: 5.5563 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1485 loss: 2.1485 2022/06/28 00:51:36 - mmengine - INFO - Epoch(train) [27][780/3757] lr: 1.000e-02 eta: 20:24:40 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 5.7461 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0636 loss: 2.0636 2022/06/28 00:51:41 - mmengine - INFO - Epoch(train) [27][800/3757] lr: 1.000e-02 eta: 20:24:36 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.4091 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9987 loss: 1.9987 2022/06/28 00:51:47 - mmengine - INFO - Epoch(train) [27][820/3757] lr: 1.000e-02 eta: 20:24:31 time: 0.213 data_time: 0.039 memory: 5148 grad_norm: 5.0303 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3755 loss: 2.3755 2022/06/28 00:51:52 - mmengine - INFO - Epoch(train) [27][840/3757] lr: 1.000e-02 eta: 20:24:25 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.3079 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2202 loss: 2.2202 2022/06/28 00:51:58 - mmengine - INFO - Epoch(train) [27][860/3757] lr: 1.000e-02 eta: 20:24:21 time: 0.189 data_time: 0.007 memory: 5148 grad_norm: 5.4067 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8200 loss: 1.8200 2022/06/28 00:52:03 - mmengine - INFO - Epoch(train) [27][880/3757] lr: 1.000e-02 eta: 20:24:16 time: 0.200 data_time: 0.017 memory: 5148 grad_norm: 5.5463 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9579 loss: 1.9579 2022/06/28 00:52:08 - mmengine - INFO - Epoch(train) [27][900/3757] lr: 1.000e-02 eta: 20:24:10 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 5.2520 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9238 loss: 1.9238 2022/06/28 00:52:14 - mmengine - INFO - Epoch(train) [27][920/3757] lr: 1.000e-02 eta: 20:24:05 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.2415 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8298 loss: 1.8298 2022/06/28 00:52:19 - mmengine - INFO - Epoch(train) [27][940/3757] lr: 1.000e-02 eta: 20:24:00 time: 0.391 data_time: 0.029 memory: 5148 grad_norm: 5.2891 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5703 loss: 1.5703 2022/06/28 00:52:24 - mmengine - INFO - Epoch(train) [27][960/3757] lr: 1.000e-02 eta: 20:23:55 time: 0.346 data_time: 0.006 memory: 5148 grad_norm: 5.9744 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1725 loss: 2.1725 2022/06/28 00:52:30 - mmengine - INFO - Epoch(train) [27][980/3757] lr: 1.000e-02 eta: 20:23:50 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.4155 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9470 loss: 1.9470 2022/06/28 00:52:35 - mmengine - INFO - Epoch(train) [27][1000/3757] lr: 1.000e-02 eta: 20:23:45 time: 0.830 data_time: 0.013 memory: 5148 grad_norm: 6.6170 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9378 loss: 1.9378 2022/06/28 00:52:40 - mmengine - INFO - Epoch(train) [27][1020/3757] lr: 1.000e-02 eta: 20:23:38 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 5.5358 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8660 loss: 1.8660 2022/06/28 00:52:46 - mmengine - INFO - Epoch(train) [27][1040/3757] lr: 1.000e-02 eta: 20:23:34 time: 0.192 data_time: 0.011 memory: 5148 grad_norm: 5.6901 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0576 loss: 2.0576 2022/06/28 00:52:52 - mmengine - INFO - Epoch(train) [27][1060/3757] lr: 1.000e-02 eta: 20:23:31 time: 1.347 data_time: 0.015 memory: 5148 grad_norm: 6.3479 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8415 loss: 1.8415 2022/06/28 00:52:56 - mmengine - INFO - Epoch(train) [27][1080/3757] lr: 1.000e-02 eta: 20:23:23 time: 0.209 data_time: 0.013 memory: 5148 grad_norm: 5.2744 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2994 loss: 2.2994 2022/06/28 00:53:02 - mmengine - INFO - Epoch(train) [27][1100/3757] lr: 1.000e-02 eta: 20:23:18 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 6.2002 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.2841 loss: 2.2841 2022/06/28 00:53:07 - mmengine - INFO - Epoch(train) [27][1120/3757] lr: 1.000e-02 eta: 20:23:14 time: 0.573 data_time: 0.006 memory: 5148 grad_norm: 5.5505 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0171 loss: 2.0171 2022/06/28 00:53:12 - mmengine - INFO - Epoch(train) [27][1140/3757] lr: 1.000e-02 eta: 20:23:06 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.5481 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6559 loss: 1.6559 2022/06/28 00:53:18 - mmengine - INFO - Epoch(train) [27][1160/3757] lr: 1.000e-02 eta: 20:23:04 time: 0.212 data_time: 0.013 memory: 5148 grad_norm: 5.8525 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2277 loss: 2.2277 2022/06/28 00:53:23 - mmengine - INFO - Epoch(train) [27][1180/3757] lr: 1.000e-02 eta: 20:22:58 time: 0.488 data_time: 0.006 memory: 5148 grad_norm: 6.0460 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9006 loss: 1.9006 2022/06/28 00:53:29 - mmengine - INFO - Epoch(train) [27][1200/3757] lr: 1.000e-02 eta: 20:22:53 time: 0.203 data_time: 0.013 memory: 5148 grad_norm: 6.1571 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7732 loss: 1.7732 2022/06/28 00:53:34 - mmengine - INFO - Epoch(train) [27][1220/3757] lr: 1.000e-02 eta: 20:22:47 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 5.3486 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1767 loss: 2.1767 2022/06/28 00:53:39 - mmengine - INFO - Epoch(train) [27][1240/3757] lr: 1.000e-02 eta: 20:22:42 time: 0.233 data_time: 0.011 memory: 5148 grad_norm: 5.9545 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2720 loss: 2.2720 2022/06/28 00:53:45 - mmengine - INFO - Epoch(train) [27][1260/3757] lr: 1.000e-02 eta: 20:22:37 time: 0.469 data_time: 0.014 memory: 5148 grad_norm: 5.6260 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2329 loss: 2.2329 2022/06/28 00:53:50 - mmengine - INFO - Epoch(train) [27][1280/3757] lr: 1.000e-02 eta: 20:22:31 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 4.9722 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8028 loss: 1.8028 2022/06/28 00:53:55 - mmengine - INFO - Epoch(train) [27][1300/3757] lr: 1.000e-02 eta: 20:22:26 time: 0.431 data_time: 0.010 memory: 5148 grad_norm: 5.6254 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0536 loss: 2.0536 2022/06/28 00:54:00 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 00:54:00 - mmengine - INFO - Epoch(train) [27][1320/3757] lr: 1.000e-02 eta: 20:22:21 time: 0.206 data_time: 0.016 memory: 5148 grad_norm: 6.1019 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5625 loss: 2.5625 2022/06/28 00:54:06 - mmengine - INFO - Epoch(train) [27][1340/3757] lr: 1.000e-02 eta: 20:22:16 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 5.2660 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6821 loss: 2.6821 2022/06/28 00:54:11 - mmengine - INFO - Epoch(train) [27][1360/3757] lr: 1.000e-02 eta: 20:22:11 time: 1.093 data_time: 0.012 memory: 5148 grad_norm: 5.1059 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1224 loss: 2.1224 2022/06/28 00:54:17 - mmengine - INFO - Epoch(train) [27][1380/3757] lr: 1.000e-02 eta: 20:22:06 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 5.7892 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8996 loss: 1.8996 2022/06/28 00:54:21 - mmengine - INFO - Epoch(train) [27][1400/3757] lr: 1.000e-02 eta: 20:21:58 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 4.8110 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6140 loss: 1.6140 2022/06/28 00:54:27 - mmengine - INFO - Epoch(train) [27][1420/3757] lr: 1.000e-02 eta: 20:21:54 time: 0.659 data_time: 0.010 memory: 5148 grad_norm: 6.1652 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8285 loss: 1.8285 2022/06/28 00:54:32 - mmengine - INFO - Epoch(train) [27][1440/3757] lr: 1.000e-02 eta: 20:21:47 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 5.4121 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1028 loss: 2.1028 2022/06/28 00:54:37 - mmengine - INFO - Epoch(train) [27][1460/3757] lr: 1.000e-02 eta: 20:21:43 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.2447 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9279 loss: 1.9279 2022/06/28 00:54:44 - mmengine - INFO - Epoch(train) [27][1480/3757] lr: 1.000e-02 eta: 20:21:40 time: 1.336 data_time: 0.010 memory: 5148 grad_norm: 5.5196 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5076 loss: 2.5076 2022/06/28 00:54:48 - mmengine - INFO - Epoch(train) [27][1500/3757] lr: 1.000e-02 eta: 20:21:33 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 6.4136 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1783 loss: 2.1783 2022/06/28 00:54:54 - mmengine - INFO - Epoch(train) [27][1520/3757] lr: 1.000e-02 eta: 20:21:30 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.7733 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1792 loss: 2.1792 2022/06/28 00:55:00 - mmengine - INFO - Epoch(train) [27][1540/3757] lr: 1.000e-02 eta: 20:21:24 time: 1.013 data_time: 0.010 memory: 5148 grad_norm: 5.5199 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7923 loss: 1.7923 2022/06/28 00:55:04 - mmengine - INFO - Epoch(train) [27][1560/3757] lr: 1.000e-02 eta: 20:21:17 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 5.9585 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8106 loss: 1.8106 2022/06/28 00:55:10 - mmengine - INFO - Epoch(train) [27][1580/3757] lr: 1.000e-02 eta: 20:21:12 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 5.8731 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2416 loss: 2.2416 2022/06/28 00:55:15 - mmengine - INFO - Epoch(train) [27][1600/3757] lr: 1.000e-02 eta: 20:21:08 time: 1.345 data_time: 0.013 memory: 5148 grad_norm: 6.0337 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8747 loss: 1.8747 2022/06/28 00:55:20 - mmengine - INFO - Epoch(train) [27][1620/3757] lr: 1.000e-02 eta: 20:21:00 time: 0.212 data_time: 0.009 memory: 5148 grad_norm: 5.5859 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4905 loss: 2.4905 2022/06/28 00:55:25 - mmengine - INFO - Epoch(train) [27][1640/3757] lr: 1.000e-02 eta: 20:20:55 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.4864 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0645 loss: 2.0645 2022/06/28 00:55:31 - mmengine - INFO - Epoch(train) [27][1660/3757] lr: 1.000e-02 eta: 20:20:52 time: 1.124 data_time: 0.007 memory: 5148 grad_norm: 5.2275 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3334 loss: 2.3334 2022/06/28 00:55:36 - mmengine - INFO - Epoch(train) [27][1680/3757] lr: 1.000e-02 eta: 20:20:46 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 5.3316 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.5361 loss: 2.5361 2022/06/28 00:55:41 - mmengine - INFO - Epoch(train) [27][1700/3757] lr: 1.000e-02 eta: 20:20:40 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 4.7018 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0873 loss: 2.0873 2022/06/28 00:55:47 - mmengine - INFO - Epoch(train) [27][1720/3757] lr: 1.000e-02 eta: 20:20:35 time: 0.828 data_time: 0.006 memory: 5148 grad_norm: 5.3737 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1605 loss: 2.1605 2022/06/28 00:55:51 - mmengine - INFO - Epoch(train) [27][1740/3757] lr: 1.000e-02 eta: 20:20:28 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.7862 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9080 loss: 1.9080 2022/06/28 00:55:57 - mmengine - INFO - Epoch(train) [27][1760/3757] lr: 1.000e-02 eta: 20:20:23 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 5.4272 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6055 loss: 1.6055 2022/06/28 00:56:02 - mmengine - INFO - Epoch(train) [27][1780/3757] lr: 1.000e-02 eta: 20:20:19 time: 1.015 data_time: 0.007 memory: 5148 grad_norm: 5.7992 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0279 loss: 2.0279 2022/06/28 00:56:07 - mmengine - INFO - Epoch(train) [27][1800/3757] lr: 1.000e-02 eta: 20:20:12 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 6.0488 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0691 loss: 2.0691 2022/06/28 00:56:13 - mmengine - INFO - Epoch(train) [27][1820/3757] lr: 1.000e-02 eta: 20:20:07 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.4755 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9859 loss: 1.9859 2022/06/28 00:56:19 - mmengine - INFO - Epoch(train) [27][1840/3757] lr: 1.000e-02 eta: 20:20:03 time: 0.489 data_time: 0.008 memory: 5148 grad_norm: 4.8224 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0450 loss: 2.0450 2022/06/28 00:56:24 - mmengine - INFO - Epoch(train) [27][1860/3757] lr: 1.000e-02 eta: 20:19:57 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 5.7274 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9606 loss: 1.9606 2022/06/28 00:56:29 - mmengine - INFO - Epoch(train) [27][1880/3757] lr: 1.000e-02 eta: 20:19:53 time: 0.707 data_time: 0.007 memory: 5148 grad_norm: 5.5489 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1376 loss: 2.1376 2022/06/28 00:56:34 - mmengine - INFO - Epoch(train) [27][1900/3757] lr: 1.000e-02 eta: 20:19:46 time: 0.272 data_time: 0.007 memory: 5148 grad_norm: 5.6723 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3329 loss: 2.3329 2022/06/28 00:56:40 - mmengine - INFO - Epoch(train) [27][1920/3757] lr: 1.000e-02 eta: 20:19:42 time: 0.220 data_time: 0.047 memory: 5148 grad_norm: 5.2899 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8768 loss: 1.8768 2022/06/28 00:56:45 - mmengine - INFO - Epoch(train) [27][1940/3757] lr: 1.000e-02 eta: 20:19:37 time: 0.913 data_time: 0.007 memory: 5148 grad_norm: 6.0140 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6257 loss: 2.6257 2022/06/28 00:56:50 - mmengine - INFO - Epoch(train) [27][1960/3757] lr: 1.000e-02 eta: 20:19:31 time: 0.213 data_time: 0.010 memory: 5148 grad_norm: 5.8467 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9856 loss: 1.9856 2022/06/28 00:56:56 - mmengine - INFO - Epoch(train) [27][1980/3757] lr: 1.000e-02 eta: 20:19:27 time: 0.189 data_time: 0.010 memory: 5148 grad_norm: 5.8452 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2332 loss: 2.2332 2022/06/28 00:57:01 - mmengine - INFO - Epoch(train) [27][2000/3757] lr: 1.000e-02 eta: 20:19:20 time: 0.670 data_time: 0.007 memory: 5148 grad_norm: 5.9340 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9798 loss: 1.9798 2022/06/28 00:57:06 - mmengine - INFO - Epoch(train) [27][2020/3757] lr: 1.000e-02 eta: 20:19:15 time: 0.214 data_time: 0.036 memory: 5148 grad_norm: 6.4876 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8902 loss: 1.8902 2022/06/28 00:57:12 - mmengine - INFO - Epoch(train) [27][2040/3757] lr: 1.000e-02 eta: 20:19:11 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 5.8964 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0393 loss: 2.0393 2022/06/28 00:57:17 - mmengine - INFO - Epoch(train) [27][2060/3757] lr: 1.000e-02 eta: 20:19:04 time: 0.750 data_time: 0.007 memory: 5148 grad_norm: 5.4364 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9287 loss: 1.9287 2022/06/28 00:57:21 - mmengine - INFO - Epoch(train) [27][2080/3757] lr: 1.000e-02 eta: 20:18:57 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.3529 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3033 loss: 2.3033 2022/06/28 00:57:27 - mmengine - INFO - Epoch(train) [27][2100/3757] lr: 1.000e-02 eta: 20:18:53 time: 0.197 data_time: 0.012 memory: 5148 grad_norm: 5.6932 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3137 loss: 2.3137 2022/06/28 00:57:33 - mmengine - INFO - Epoch(train) [27][2120/3757] lr: 1.000e-02 eta: 20:18:49 time: 1.141 data_time: 0.007 memory: 5148 grad_norm: 5.4195 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9096 loss: 1.9096 2022/06/28 00:57:38 - mmengine - INFO - Epoch(train) [27][2140/3757] lr: 1.000e-02 eta: 20:18:42 time: 0.216 data_time: 0.009 memory: 5148 grad_norm: 6.3587 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1519 loss: 2.1519 2022/06/28 00:57:43 - mmengine - INFO - Epoch(train) [27][2160/3757] lr: 1.000e-02 eta: 20:18:37 time: 0.199 data_time: 0.012 memory: 5148 grad_norm: 5.4705 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3586 loss: 2.3586 2022/06/28 00:57:48 - mmengine - INFO - Epoch(train) [27][2180/3757] lr: 1.000e-02 eta: 20:18:32 time: 0.239 data_time: 0.007 memory: 5148 grad_norm: 4.9649 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9225 loss: 1.9225 2022/06/28 00:57:53 - mmengine - INFO - Epoch(train) [27][2200/3757] lr: 1.000e-02 eta: 20:18:24 time: 0.201 data_time: 0.012 memory: 5148 grad_norm: 5.9195 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9531 loss: 1.9531 2022/06/28 00:57:58 - mmengine - INFO - Epoch(train) [27][2220/3757] lr: 1.000e-02 eta: 20:18:19 time: 0.202 data_time: 0.012 memory: 5148 grad_norm: 4.7357 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7215 loss: 1.7215 2022/06/28 00:58:03 - mmengine - INFO - Epoch(train) [27][2240/3757] lr: 1.000e-02 eta: 20:18:13 time: 0.466 data_time: 0.008 memory: 5148 grad_norm: 6.0031 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0067 loss: 2.0067 2022/06/28 00:58:09 - mmengine - INFO - Epoch(train) [27][2260/3757] lr: 1.000e-02 eta: 20:18:08 time: 0.201 data_time: 0.015 memory: 5148 grad_norm: 5.8019 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1052 loss: 2.1052 2022/06/28 00:58:14 - mmengine - INFO - Epoch(train) [27][2280/3757] lr: 1.000e-02 eta: 20:18:03 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.5822 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7840 loss: 1.7840 2022/06/28 00:58:19 - mmengine - INFO - Epoch(train) [27][2300/3757] lr: 1.000e-02 eta: 20:17:57 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 5.1331 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.8352 loss: 1.8352 2022/06/28 00:58:24 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 00:58:25 - mmengine - INFO - Epoch(train) [27][2320/3757] lr: 1.000e-02 eta: 20:17:52 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.4792 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7010 loss: 1.7010 2022/06/28 00:58:30 - mmengine - INFO - Epoch(train) [27][2340/3757] lr: 1.000e-02 eta: 20:17:47 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 6.1422 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.0385 loss: 2.0385 2022/06/28 00:58:35 - mmengine - INFO - Epoch(train) [27][2360/3757] lr: 1.000e-02 eta: 20:17:41 time: 0.382 data_time: 0.009 memory: 5148 grad_norm: 5.6018 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3791 loss: 2.3791 2022/06/28 00:58:40 - mmengine - INFO - Epoch(train) [27][2380/3757] lr: 1.000e-02 eta: 20:17:36 time: 0.218 data_time: 0.007 memory: 5148 grad_norm: 6.4827 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8587 loss: 1.8587 2022/06/28 00:58:45 - mmengine - INFO - Epoch(train) [27][2400/3757] lr: 1.000e-02 eta: 20:17:30 time: 0.200 data_time: 0.009 memory: 5148 grad_norm: 5.6856 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4125 loss: 2.4125 2022/06/28 00:58:51 - mmengine - INFO - Epoch(train) [27][2420/3757] lr: 1.000e-02 eta: 20:17:25 time: 0.210 data_time: 0.012 memory: 5148 grad_norm: 5.0378 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0481 loss: 2.0481 2022/06/28 00:58:56 - mmengine - INFO - Epoch(train) [27][2440/3757] lr: 1.000e-02 eta: 20:17:19 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 5.1721 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5582 loss: 1.5582 2022/06/28 00:59:02 - mmengine - INFO - Epoch(train) [27][2460/3757] lr: 1.000e-02 eta: 20:17:14 time: 0.198 data_time: 0.009 memory: 5148 grad_norm: 5.5124 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1066 loss: 2.1066 2022/06/28 00:59:08 - mmengine - INFO - Epoch(train) [27][2480/3757] lr: 1.000e-02 eta: 20:17:11 time: 0.878 data_time: 0.007 memory: 5148 grad_norm: 5.9341 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9997 loss: 1.9997 2022/06/28 00:59:12 - mmengine - INFO - Epoch(train) [27][2500/3757] lr: 1.000e-02 eta: 20:17:05 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 5.4725 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6055 loss: 2.6055 2022/06/28 00:59:18 - mmengine - INFO - Epoch(train) [27][2520/3757] lr: 1.000e-02 eta: 20:17:00 time: 0.203 data_time: 0.009 memory: 5148 grad_norm: 5.2363 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8629 loss: 1.8629 2022/06/28 00:59:23 - mmengine - INFO - Epoch(train) [27][2540/3757] lr: 1.000e-02 eta: 20:16:55 time: 0.720 data_time: 0.008 memory: 5148 grad_norm: 5.7357 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9740 loss: 1.9740 2022/06/28 00:59:28 - mmengine - INFO - Epoch(train) [27][2560/3757] lr: 1.000e-02 eta: 20:16:48 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.5238 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8183 loss: 1.8183 2022/06/28 00:59:34 - mmengine - INFO - Epoch(train) [27][2580/3757] lr: 1.000e-02 eta: 20:16:44 time: 0.227 data_time: 0.007 memory: 5148 grad_norm: 5.8295 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1009 loss: 2.1009 2022/06/28 00:59:39 - mmengine - INFO - Epoch(train) [27][2600/3757] lr: 1.000e-02 eta: 20:16:39 time: 0.192 data_time: 0.009 memory: 5148 grad_norm: 4.4959 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0263 loss: 2.0263 2022/06/28 00:59:45 - mmengine - INFO - Epoch(train) [27][2620/3757] lr: 1.000e-02 eta: 20:16:34 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 5.6600 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8666 loss: 1.8666 2022/06/28 00:59:50 - mmengine - INFO - Epoch(train) [27][2640/3757] lr: 1.000e-02 eta: 20:16:29 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.5173 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0008 loss: 2.0008 2022/06/28 00:59:55 - mmengine - INFO - Epoch(train) [27][2660/3757] lr: 1.000e-02 eta: 20:16:23 time: 0.459 data_time: 0.017 memory: 5148 grad_norm: 4.5331 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0512 loss: 2.0512 2022/06/28 01:00:01 - mmengine - INFO - Epoch(train) [27][2680/3757] lr: 1.000e-02 eta: 20:16:19 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.1428 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9863 loss: 1.9863 2022/06/28 01:00:06 - mmengine - INFO - Epoch(train) [27][2700/3757] lr: 1.000e-02 eta: 20:16:14 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.4940 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2759 loss: 2.2759 2022/06/28 01:00:11 - mmengine - INFO - Epoch(train) [27][2720/3757] lr: 1.000e-02 eta: 20:16:07 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 5.4372 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6743 loss: 1.6743 2022/06/28 01:00:17 - mmengine - INFO - Epoch(train) [27][2740/3757] lr: 1.000e-02 eta: 20:16:03 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 6.5308 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9147 loss: 1.9147 2022/06/28 01:00:22 - mmengine - INFO - Epoch(train) [27][2760/3757] lr: 1.000e-02 eta: 20:15:58 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 5.7022 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0423 loss: 2.0423 2022/06/28 01:00:27 - mmengine - INFO - Epoch(train) [27][2780/3757] lr: 1.000e-02 eta: 20:15:51 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 6.0899 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3155 loss: 2.3155 2022/06/28 01:00:33 - mmengine - INFO - Epoch(train) [27][2800/3757] lr: 1.000e-02 eta: 20:15:46 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.4703 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9414 loss: 1.9414 2022/06/28 01:00:38 - mmengine - INFO - Epoch(train) [27][2820/3757] lr: 1.000e-02 eta: 20:15:41 time: 0.217 data_time: 0.018 memory: 5148 grad_norm: 5.2886 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9068 loss: 1.9068 2022/06/28 01:00:43 - mmengine - INFO - Epoch(train) [27][2840/3757] lr: 1.000e-02 eta: 20:15:34 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 5.7207 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6443 loss: 1.6443 2022/06/28 01:00:48 - mmengine - INFO - Epoch(train) [27][2860/3757] lr: 1.000e-02 eta: 20:15:30 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 5.5175 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4771 loss: 2.4771 2022/06/28 01:00:54 - mmengine - INFO - Epoch(train) [27][2880/3757] lr: 1.000e-02 eta: 20:15:25 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.0084 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1991 loss: 2.1991 2022/06/28 01:00:59 - mmengine - INFO - Epoch(train) [27][2900/3757] lr: 1.000e-02 eta: 20:15:19 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 5.3057 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9409 loss: 1.9409 2022/06/28 01:01:04 - mmengine - INFO - Epoch(train) [27][2920/3757] lr: 1.000e-02 eta: 20:15:14 time: 0.197 data_time: 0.022 memory: 5148 grad_norm: 5.4580 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.8889 loss: 1.8889 2022/06/28 01:01:09 - mmengine - INFO - Epoch(train) [27][2940/3757] lr: 1.000e-02 eta: 20:15:09 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 6.2477 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2853 loss: 2.2853 2022/06/28 01:01:14 - mmengine - INFO - Epoch(train) [27][2960/3757] lr: 1.000e-02 eta: 20:15:02 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.5346 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8717 loss: 1.8717 2022/06/28 01:01:20 - mmengine - INFO - Epoch(train) [27][2980/3757] lr: 1.000e-02 eta: 20:14:58 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.5043 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8708 loss: 1.8708 2022/06/28 01:01:25 - mmengine - INFO - Epoch(train) [27][3000/3757] lr: 1.000e-02 eta: 20:14:51 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 5.4381 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2164 loss: 2.2164 2022/06/28 01:01:30 - mmengine - INFO - Epoch(train) [27][3020/3757] lr: 1.000e-02 eta: 20:14:46 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 5.8360 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3402 loss: 2.3402 2022/06/28 01:01:37 - mmengine - INFO - Epoch(train) [27][3040/3757] lr: 1.000e-02 eta: 20:14:44 time: 0.207 data_time: 0.012 memory: 5148 grad_norm: 6.0095 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8384 loss: 1.8384 2022/06/28 01:01:41 - mmengine - INFO - Epoch(train) [27][3060/3757] lr: 1.000e-02 eta: 20:14:35 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 5.9604 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9803 loss: 1.9803 2022/06/28 01:01:45 - mmengine - INFO - Epoch(train) [27][3080/3757] lr: 1.000e-02 eta: 20:14:29 time: 0.195 data_time: 0.014 memory: 5148 grad_norm: 5.4810 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4333 loss: 2.4333 2022/06/28 01:01:51 - mmengine - INFO - Epoch(train) [27][3100/3757] lr: 1.000e-02 eta: 20:14:23 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 4.5416 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1463 loss: 2.1463 2022/06/28 01:01:56 - mmengine - INFO - Epoch(train) [27][3120/3757] lr: 1.000e-02 eta: 20:14:16 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.1656 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1262 loss: 2.1262 2022/06/28 01:02:01 - mmengine - INFO - Epoch(train) [27][3140/3757] lr: 1.000e-02 eta: 20:14:11 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 4.6490 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0274 loss: 2.0274 2022/06/28 01:02:06 - mmengine - INFO - Epoch(train) [27][3160/3757] lr: 1.000e-02 eta: 20:14:06 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 6.0543 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8153 loss: 1.8153 2022/06/28 01:02:11 - mmengine - INFO - Epoch(train) [27][3180/3757] lr: 1.000e-02 eta: 20:14:00 time: 0.197 data_time: 0.013 memory: 5148 grad_norm: 4.9678 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7044 loss: 1.7044 2022/06/28 01:02:17 - mmengine - INFO - Epoch(train) [27][3200/3757] lr: 1.000e-02 eta: 20:13:56 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 5.9663 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1305 loss: 2.1305 2022/06/28 01:02:22 - mmengine - INFO - Epoch(train) [27][3220/3757] lr: 1.000e-02 eta: 20:13:51 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.9351 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0682 loss: 2.0682 2022/06/28 01:02:28 - mmengine - INFO - Epoch(train) [27][3240/3757] lr: 1.000e-02 eta: 20:13:45 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 5.5520 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5973 loss: 2.5973 2022/06/28 01:02:33 - mmengine - INFO - Epoch(train) [27][3260/3757] lr: 1.000e-02 eta: 20:13:39 time: 0.202 data_time: 0.017 memory: 5148 grad_norm: 5.8101 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1300 loss: 2.1300 2022/06/28 01:02:38 - mmengine - INFO - Epoch(train) [27][3280/3757] lr: 1.000e-02 eta: 20:13:34 time: 0.191 data_time: 0.008 memory: 5148 grad_norm: 5.0777 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4236 loss: 2.4236 2022/06/28 01:02:44 - mmengine - INFO - Epoch(train) [27][3300/3757] lr: 1.000e-02 eta: 20:13:30 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 5.7985 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9641 loss: 1.9641 2022/06/28 01:02:48 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 01:02:49 - mmengine - INFO - Epoch(train) [27][3320/3757] lr: 1.000e-02 eta: 20:13:23 time: 0.197 data_time: 0.013 memory: 5148 grad_norm: 5.9017 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9911 loss: 1.9911 2022/06/28 01:02:54 - mmengine - INFO - Epoch(train) [27][3340/3757] lr: 1.000e-02 eta: 20:13:19 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 5.4845 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6278 loss: 2.6278 2022/06/28 01:03:00 - mmengine - INFO - Epoch(train) [27][3360/3757] lr: 1.000e-02 eta: 20:13:14 time: 0.216 data_time: 0.012 memory: 5148 grad_norm: 5.6198 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7586 loss: 1.7586 2022/06/28 01:03:04 - mmengine - INFO - Epoch(train) [27][3380/3757] lr: 1.000e-02 eta: 20:13:07 time: 0.191 data_time: 0.008 memory: 5148 grad_norm: 5.4588 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9146 loss: 1.9146 2022/06/28 01:03:10 - mmengine - INFO - Epoch(train) [27][3400/3757] lr: 1.000e-02 eta: 20:13:02 time: 0.193 data_time: 0.008 memory: 5148 grad_norm: 5.9080 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5226 loss: 1.5226 2022/06/28 01:03:15 - mmengine - INFO - Epoch(train) [27][3420/3757] lr: 1.000e-02 eta: 20:12:57 time: 0.283 data_time: 0.010 memory: 5148 grad_norm: 6.0169 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7597 loss: 2.7597 2022/06/28 01:03:20 - mmengine - INFO - Epoch(train) [27][3440/3757] lr: 1.000e-02 eta: 20:12:50 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.7393 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5673 loss: 2.5673 2022/06/28 01:03:26 - mmengine - INFO - Epoch(train) [27][3460/3757] lr: 1.000e-02 eta: 20:12:47 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 5.1724 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0131 loss: 2.0131 2022/06/28 01:03:31 - mmengine - INFO - Epoch(train) [27][3480/3757] lr: 1.000e-02 eta: 20:12:41 time: 0.201 data_time: 0.013 memory: 5148 grad_norm: 5.9785 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3591 loss: 2.3591 2022/06/28 01:03:36 - mmengine - INFO - Epoch(train) [27][3500/3757] lr: 1.000e-02 eta: 20:12:34 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 5.2264 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3008 loss: 2.3008 2022/06/28 01:03:42 - mmengine - INFO - Epoch(train) [27][3520/3757] lr: 1.000e-02 eta: 20:12:30 time: 0.772 data_time: 0.008 memory: 5148 grad_norm: 5.6389 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9888 loss: 1.9888 2022/06/28 01:03:47 - mmengine - INFO - Epoch(train) [27][3540/3757] lr: 1.000e-02 eta: 20:12:25 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 5.1088 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1435 loss: 2.1435 2022/06/28 01:03:52 - mmengine - INFO - Epoch(train) [27][3560/3757] lr: 1.000e-02 eta: 20:12:19 time: 0.191 data_time: 0.011 memory: 5148 grad_norm: 5.3941 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2513 loss: 2.2513 2022/06/28 01:03:57 - mmengine - INFO - Epoch(train) [27][3580/3757] lr: 1.000e-02 eta: 20:12:13 time: 0.502 data_time: 0.007 memory: 5148 grad_norm: 5.1734 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1648 loss: 2.1648 2022/06/28 01:04:03 - mmengine - INFO - Epoch(train) [27][3600/3757] lr: 1.000e-02 eta: 20:12:09 time: 0.195 data_time: 0.006 memory: 5148 grad_norm: 5.4470 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2421 loss: 2.2421 2022/06/28 01:04:09 - mmengine - INFO - Epoch(train) [27][3620/3757] lr: 1.000e-02 eta: 20:12:05 time: 0.200 data_time: 0.012 memory: 5148 grad_norm: 5.1241 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1163 loss: 2.1163 2022/06/28 01:04:13 - mmengine - INFO - Epoch(train) [27][3640/3757] lr: 1.000e-02 eta: 20:11:58 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 4.9389 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8393 loss: 1.8393 2022/06/28 01:04:18 - mmengine - INFO - Epoch(train) [27][3660/3757] lr: 1.000e-02 eta: 20:11:52 time: 0.210 data_time: 0.010 memory: 5148 grad_norm: 4.6888 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2939 loss: 2.2939 2022/06/28 01:04:24 - mmengine - INFO - Epoch(train) [27][3680/3757] lr: 1.000e-02 eta: 20:11:47 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 5.2875 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2032 loss: 2.2032 2022/06/28 01:04:30 - mmengine - INFO - Epoch(train) [27][3700/3757] lr: 1.000e-02 eta: 20:11:43 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 5.2370 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3071 loss: 2.3071 2022/06/28 01:04:34 - mmengine - INFO - Epoch(train) [27][3720/3757] lr: 1.000e-02 eta: 20:11:37 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.4553 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1662 loss: 2.1662 2022/06/28 01:04:40 - mmengine - INFO - Epoch(train) [27][3740/3757] lr: 1.000e-02 eta: 20:11:32 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 5.8359 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0519 loss: 2.0519 2022/06/28 01:04:43 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 01:04:50 - mmengine - INFO - Epoch(val) [27][20/310] eta: 0:01:11 time: 0.228 data_time: 0.149 memory: 5148 2022/06/28 01:04:55 - mmengine - INFO - Epoch(val) [27][40/310] eta: 0:01:03 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 01:05:01 - mmengine - INFO - Epoch(val) [27][60/310] eta: 0:00:55 time: 0.079 data_time: 0.008 memory: 1367 2022/06/28 01:05:06 - mmengine - INFO - Epoch(val) [27][80/310] eta: 0:00:56 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 01:05:12 - mmengine - INFO - Epoch(val) [27][100/310] eta: 0:00:49 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 01:05:16 - mmengine - INFO - Epoch(val) [27][120/310] eta: 0:00:45 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 01:05:22 - mmengine - INFO - Epoch(val) [27][140/310] eta: 0:00:44 time: 0.259 data_time: 0.173 memory: 1367 2022/06/28 01:05:27 - mmengine - INFO - Epoch(val) [27][160/310] eta: 0:00:34 time: 0.078 data_time: 0.007 memory: 1367 2022/06/28 01:05:33 - mmengine - INFO - Epoch(val) [27][180/310] eta: 0:00:43 time: 0.758 data_time: 0.681 memory: 1367 2022/06/28 01:05:38 - mmengine - INFO - Epoch(val) [27][200/310] eta: 0:00:24 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 01:05:44 - mmengine - INFO - Epoch(val) [27][220/310] eta: 0:00:32 time: 0.087 data_time: 0.005 memory: 1367 2022/06/28 01:05:48 - mmengine - INFO - Epoch(val) [27][240/310] eta: 0:00:14 time: 0.078 data_time: 0.005 memory: 1367 2022/06/28 01:05:55 - mmengine - INFO - Epoch(val) [27][260/310] eta: 0:00:17 time: 0.092 data_time: 0.005 memory: 1367 2022/06/28 01:05:59 - mmengine - INFO - Epoch(val) [27][280/310] eta: 0:00:07 time: 0.081 data_time: 0.005 memory: 1367 2022/06/28 01:06:05 - mmengine - INFO - Epoch(val) [27][300/310] eta: 0:00:03 time: 0.282 data_time: 0.205 memory: 1367 2022/06/28 01:06:08 - mmengine - INFO - Epoch(val) [27][310/310] acc/top1: 0.5503 acc/top5: 0.7946 acc/mean1: 0.5502 2022/06/28 01:06:17 - mmengine - INFO - Epoch(train) [28][20/3757] lr: 1.000e-02 eta: 20:11:24 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 5.5722 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0472 loss: 2.0472 2022/06/28 01:06:22 - mmengine - INFO - Epoch(train) [28][40/3757] lr: 1.000e-02 eta: 20:11:19 time: 0.208 data_time: 0.026 memory: 5148 grad_norm: 5.1130 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1334 loss: 2.1334 2022/06/28 01:06:27 - mmengine - INFO - Epoch(train) [28][60/3757] lr: 1.000e-02 eta: 20:11:13 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 5.9336 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0567 loss: 2.0567 2022/06/28 01:06:32 - mmengine - INFO - Epoch(train) [28][80/3757] lr: 1.000e-02 eta: 20:11:09 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 4.9951 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7967 loss: 1.7967 2022/06/28 01:06:38 - mmengine - INFO - Epoch(train) [28][100/3757] lr: 1.000e-02 eta: 20:11:05 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.3368 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9406 loss: 1.9406 2022/06/28 01:06:43 - mmengine - INFO - Epoch(train) [28][120/3757] lr: 1.000e-02 eta: 20:10:58 time: 0.198 data_time: 0.015 memory: 5148 grad_norm: 5.7756 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0929 loss: 2.0929 2022/06/28 01:06:49 - mmengine - INFO - Epoch(train) [28][140/3757] lr: 1.000e-02 eta: 20:10:54 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 6.2514 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8323 loss: 1.8323 2022/06/28 01:06:55 - mmengine - INFO - Epoch(train) [28][160/3757] lr: 1.000e-02 eta: 20:10:51 time: 0.214 data_time: 0.006 memory: 5148 grad_norm: 5.5576 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2803 loss: 2.2803 2022/06/28 01:06:59 - mmengine - INFO - Epoch(train) [28][180/3757] lr: 1.000e-02 eta: 20:10:43 time: 0.205 data_time: 0.006 memory: 5148 grad_norm: 6.6669 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9414 loss: 1.9414 2022/06/28 01:07:06 - mmengine - INFO - Epoch(train) [28][200/3757] lr: 1.000e-02 eta: 20:10:41 time: 0.401 data_time: 0.007 memory: 5148 grad_norm: 5.5876 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0464 loss: 2.0464 2022/06/28 01:07:11 - mmengine - INFO - Epoch(train) [28][220/3757] lr: 1.000e-02 eta: 20:10:35 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 5.0849 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1261 loss: 2.1261 2022/06/28 01:07:16 - mmengine - INFO - Epoch(train) [28][240/3757] lr: 1.000e-02 eta: 20:10:28 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.7965 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1274 loss: 2.1274 2022/06/28 01:07:21 - mmengine - INFO - Epoch(train) [28][260/3757] lr: 1.000e-02 eta: 20:10:23 time: 0.218 data_time: 0.007 memory: 5148 grad_norm: 5.4124 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9745 loss: 1.9745 2022/06/28 01:07:27 - mmengine - INFO - Epoch(train) [28][280/3757] lr: 1.000e-02 eta: 20:10:19 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 6.5340 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8111 loss: 1.8111 2022/06/28 01:07:31 - mmengine - INFO - Epoch(train) [28][300/3757] lr: 1.000e-02 eta: 20:10:11 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 5.3175 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9389 loss: 1.9389 2022/06/28 01:07:38 - mmengine - INFO - Epoch(train) [28][320/3757] lr: 1.000e-02 eta: 20:10:10 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.8937 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0498 loss: 2.0498 2022/06/28 01:07:42 - mmengine - INFO - Epoch(train) [28][340/3757] lr: 1.000e-02 eta: 20:10:02 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.9503 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9658 loss: 1.9658 2022/06/28 01:07:47 - mmengine - INFO - Epoch(train) [28][360/3757] lr: 1.000e-02 eta: 20:09:56 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 5.7286 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3131 loss: 2.3131 2022/06/28 01:07:53 - mmengine - INFO - Epoch(train) [28][380/3757] lr: 1.000e-02 eta: 20:09:50 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.3952 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1779 loss: 2.1779 2022/06/28 01:07:58 - mmengine - INFO - Epoch(train) [28][400/3757] lr: 1.000e-02 eta: 20:09:46 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.4861 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9281 loss: 1.9281 2022/06/28 01:08:03 - mmengine - INFO - Epoch(train) [28][420/3757] lr: 1.000e-02 eta: 20:09:39 time: 0.204 data_time: 0.012 memory: 5148 grad_norm: 5.1385 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3288 loss: 2.3288 2022/06/28 01:08:09 - mmengine - INFO - Epoch(train) [28][440/3757] lr: 1.000e-02 eta: 20:09:35 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.5064 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7779 loss: 1.7779 2022/06/28 01:08:14 - mmengine - INFO - Epoch(train) [28][460/3757] lr: 1.000e-02 eta: 20:09:30 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.0283 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9067 loss: 1.9067 2022/06/28 01:08:19 - mmengine - INFO - Epoch(train) [28][480/3757] lr: 1.000e-02 eta: 20:09:23 time: 0.200 data_time: 0.022 memory: 5148 grad_norm: 6.3086 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7103 loss: 2.7103 2022/06/28 01:08:24 - mmengine - INFO - Epoch(train) [28][500/3757] lr: 1.000e-02 eta: 20:09:18 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 5.3942 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9029 loss: 1.9029 2022/06/28 01:08:30 - mmengine - INFO - Epoch(train) [28][520/3757] lr: 1.000e-02 eta: 20:09:13 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.4418 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1362 loss: 2.1362 2022/06/28 01:08:34 - mmengine - INFO - Epoch(train) [28][540/3757] lr: 1.000e-02 eta: 20:09:06 time: 0.196 data_time: 0.012 memory: 5148 grad_norm: 5.1349 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2931 loss: 2.2931 2022/06/28 01:08:40 - mmengine - INFO - Epoch(train) [28][560/3757] lr: 1.000e-02 eta: 20:09:02 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 5.5747 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3044 loss: 2.3044 2022/06/28 01:08:40 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 01:08:46 - mmengine - INFO - Epoch(train) [28][580/3757] lr: 1.000e-02 eta: 20:08:59 time: 0.220 data_time: 0.010 memory: 5148 grad_norm: 5.5545 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1812 loss: 2.1812 2022/06/28 01:08:50 - mmengine - INFO - Epoch(train) [28][600/3757] lr: 1.000e-02 eta: 20:08:51 time: 0.210 data_time: 0.010 memory: 5148 grad_norm: 5.6223 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1435 loss: 2.1435 2022/06/28 01:08:56 - mmengine - INFO - Epoch(train) [28][620/3757] lr: 1.000e-02 eta: 20:08:46 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 4.7312 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4328 loss: 1.4328 2022/06/28 01:09:01 - mmengine - INFO - Epoch(train) [28][640/3757] lr: 1.000e-02 eta: 20:08:41 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 4.7809 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8045 loss: 1.8045 2022/06/28 01:09:06 - mmengine - INFO - Epoch(train) [28][660/3757] lr: 1.000e-02 eta: 20:08:35 time: 0.220 data_time: 0.008 memory: 5148 grad_norm: 5.3908 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0356 loss: 2.0356 2022/06/28 01:09:12 - mmengine - INFO - Epoch(train) [28][680/3757] lr: 1.000e-02 eta: 20:08:30 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.4888 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0103 loss: 2.0103 2022/06/28 01:09:18 - mmengine - INFO - Epoch(train) [28][700/3757] lr: 1.000e-02 eta: 20:08:26 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.0200 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0436 loss: 2.0436 2022/06/28 01:09:22 - mmengine - INFO - Epoch(train) [28][720/3757] lr: 1.000e-02 eta: 20:08:19 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.3050 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9387 loss: 1.9387 2022/06/28 01:09:28 - mmengine - INFO - Epoch(train) [28][740/3757] lr: 1.000e-02 eta: 20:08:14 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 6.1654 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8576 loss: 1.8576 2022/06/28 01:09:34 - mmengine - INFO - Epoch(train) [28][760/3757] lr: 1.000e-02 eta: 20:08:10 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.3184 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9331 loss: 1.9331 2022/06/28 01:09:38 - mmengine - INFO - Epoch(train) [28][780/3757] lr: 1.000e-02 eta: 20:08:03 time: 0.193 data_time: 0.011 memory: 5148 grad_norm: 4.6086 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8936 loss: 1.8936 2022/06/28 01:09:44 - mmengine - INFO - Epoch(train) [28][800/3757] lr: 1.000e-02 eta: 20:07:59 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.2302 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9402 loss: 1.9402 2022/06/28 01:09:50 - mmengine - INFO - Epoch(train) [28][820/3757] lr: 1.000e-02 eta: 20:07:55 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 6.0090 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1012 loss: 2.1012 2022/06/28 01:09:55 - mmengine - INFO - Epoch(train) [28][840/3757] lr: 1.000e-02 eta: 20:07:48 time: 0.202 data_time: 0.020 memory: 5148 grad_norm: 5.1121 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7556 loss: 1.7556 2022/06/28 01:10:00 - mmengine - INFO - Epoch(train) [28][860/3757] lr: 1.000e-02 eta: 20:07:42 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.8748 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3090 loss: 2.3090 2022/06/28 01:10:06 - mmengine - INFO - Epoch(train) [28][880/3757] lr: 1.000e-02 eta: 20:07:40 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.6227 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8369 loss: 1.8369 2022/06/28 01:10:11 - mmengine - INFO - Epoch(train) [28][900/3757] lr: 1.000e-02 eta: 20:07:34 time: 0.209 data_time: 0.017 memory: 5148 grad_norm: 5.2551 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9729 loss: 1.9729 2022/06/28 01:10:17 - mmengine - INFO - Epoch(train) [28][920/3757] lr: 1.000e-02 eta: 20:07:29 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 5.3872 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3864 loss: 2.3864 2022/06/28 01:10:22 - mmengine - INFO - Epoch(train) [28][940/3757] lr: 1.000e-02 eta: 20:07:23 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 5.6444 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9393 loss: 1.9393 2022/06/28 01:10:27 - mmengine - INFO - Epoch(train) [28][960/3757] lr: 1.000e-02 eta: 20:07:17 time: 0.199 data_time: 0.015 memory: 5148 grad_norm: 5.3335 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8123 loss: 1.8123 2022/06/28 01:10:32 - mmengine - INFO - Epoch(train) [28][980/3757] lr: 1.000e-02 eta: 20:07:13 time: 0.209 data_time: 0.006 memory: 5148 grad_norm: 5.4870 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8344 loss: 1.8344 2022/06/28 01:10:38 - mmengine - INFO - Epoch(train) [28][1000/3757] lr: 1.000e-02 eta: 20:07:08 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 6.3083 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8992 loss: 1.8992 2022/06/28 01:10:43 - mmengine - INFO - Epoch(train) [28][1020/3757] lr: 1.000e-02 eta: 20:07:02 time: 0.209 data_time: 0.029 memory: 5148 grad_norm: 4.9988 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7575 loss: 1.7575 2022/06/28 01:10:49 - mmengine - INFO - Epoch(train) [28][1040/3757] lr: 1.000e-02 eta: 20:06:58 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.4943 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0400 loss: 2.0400 2022/06/28 01:10:54 - mmengine - INFO - Epoch(train) [28][1060/3757] lr: 1.000e-02 eta: 20:06:54 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.0590 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0738 loss: 2.0738 2022/06/28 01:10:59 - mmengine - INFO - Epoch(train) [28][1080/3757] lr: 1.000e-02 eta: 20:06:47 time: 0.206 data_time: 0.025 memory: 5148 grad_norm: 5.8918 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3435 loss: 2.3435 2022/06/28 01:11:05 - mmengine - INFO - Epoch(train) [28][1100/3757] lr: 1.000e-02 eta: 20:06:43 time: 0.237 data_time: 0.015 memory: 5148 grad_norm: 5.5825 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1324 loss: 2.1324 2022/06/28 01:11:10 - mmengine - INFO - Epoch(train) [28][1120/3757] lr: 1.000e-02 eta: 20:06:38 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.4399 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0072 loss: 2.0072 2022/06/28 01:11:15 - mmengine - INFO - Epoch(train) [28][1140/3757] lr: 1.000e-02 eta: 20:06:31 time: 0.203 data_time: 0.022 memory: 5148 grad_norm: 4.8664 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2102 loss: 2.2102 2022/06/28 01:11:21 - mmengine - INFO - Epoch(train) [28][1160/3757] lr: 1.000e-02 eta: 20:06:26 time: 0.199 data_time: 0.016 memory: 5148 grad_norm: 4.8313 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8814 loss: 1.8814 2022/06/28 01:11:25 - mmengine - INFO - Epoch(train) [28][1180/3757] lr: 1.000e-02 eta: 20:06:20 time: 0.197 data_time: 0.014 memory: 5148 grad_norm: 5.5684 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4356 loss: 2.4356 2022/06/28 01:11:30 - mmengine - INFO - Epoch(train) [28][1200/3757] lr: 1.000e-02 eta: 20:06:12 time: 0.196 data_time: 0.020 memory: 5148 grad_norm: 5.8242 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9697 loss: 1.9697 2022/06/28 01:11:36 - mmengine - INFO - Epoch(train) [28][1220/3757] lr: 1.000e-02 eta: 20:06:08 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 5.3394 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3417 loss: 2.3417 2022/06/28 01:11:41 - mmengine - INFO - Epoch(train) [28][1240/3757] lr: 1.000e-02 eta: 20:06:04 time: 0.200 data_time: 0.018 memory: 5148 grad_norm: 6.0915 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2308 loss: 2.2308 2022/06/28 01:11:46 - mmengine - INFO - Epoch(train) [28][1260/3757] lr: 1.000e-02 eta: 20:05:57 time: 0.402 data_time: 0.197 memory: 5148 grad_norm: 6.0134 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.9198 loss: 1.9198 2022/06/28 01:11:51 - mmengine - INFO - Epoch(train) [28][1280/3757] lr: 1.000e-02 eta: 20:05:52 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.0643 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1572 loss: 2.1572 2022/06/28 01:11:57 - mmengine - INFO - Epoch(train) [28][1300/3757] lr: 1.000e-02 eta: 20:05:47 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.6227 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7870 loss: 1.7870 2022/06/28 01:12:03 - mmengine - INFO - Epoch(train) [28][1320/3757] lr: 1.000e-02 eta: 20:05:43 time: 0.215 data_time: 0.019 memory: 5148 grad_norm: 5.2422 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8933 loss: 1.8933 2022/06/28 01:12:08 - mmengine - INFO - Epoch(train) [28][1340/3757] lr: 1.000e-02 eta: 20:05:37 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 5.8946 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1992 loss: 2.1992 2022/06/28 01:12:13 - mmengine - INFO - Epoch(train) [28][1360/3757] lr: 1.000e-02 eta: 20:05:32 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 5.9838 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 2.3027 loss: 2.3027 2022/06/28 01:12:19 - mmengine - INFO - Epoch(train) [28][1380/3757] lr: 1.000e-02 eta: 20:05:28 time: 0.206 data_time: 0.015 memory: 5148 grad_norm: 5.7541 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0366 loss: 2.0366 2022/06/28 01:12:24 - mmengine - INFO - Epoch(train) [28][1400/3757] lr: 1.000e-02 eta: 20:05:21 time: 0.320 data_time: 0.007 memory: 5148 grad_norm: 5.2552 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8621 loss: 1.8621 2022/06/28 01:12:29 - mmengine - INFO - Epoch(train) [28][1420/3757] lr: 1.000e-02 eta: 20:05:15 time: 0.200 data_time: 0.013 memory: 5148 grad_norm: 5.7847 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9117 loss: 1.9117 2022/06/28 01:12:34 - mmengine - INFO - Epoch(train) [28][1440/3757] lr: 1.000e-02 eta: 20:05:11 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 5.8041 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0235 loss: 2.0235 2022/06/28 01:12:40 - mmengine - INFO - Epoch(train) [28][1460/3757] lr: 1.000e-02 eta: 20:05:06 time: 0.713 data_time: 0.005 memory: 5148 grad_norm: 4.7571 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7855 loss: 1.7855 2022/06/28 01:12:45 - mmengine - INFO - Epoch(train) [28][1480/3757] lr: 1.000e-02 eta: 20:05:00 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 6.1016 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2307 loss: 2.2307 2022/06/28 01:12:51 - mmengine - INFO - Epoch(train) [28][1500/3757] lr: 1.000e-02 eta: 20:04:56 time: 0.207 data_time: 0.014 memory: 5148 grad_norm: 5.6750 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8337 loss: 1.8337 2022/06/28 01:12:57 - mmengine - INFO - Epoch(train) [28][1520/3757] lr: 1.000e-02 eta: 20:04:53 time: 1.429 data_time: 0.010 memory: 5148 grad_norm: 5.7142 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7953 loss: 1.7953 2022/06/28 01:13:01 - mmengine - INFO - Epoch(train) [28][1540/3757] lr: 1.000e-02 eta: 20:04:45 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.2504 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1431 loss: 2.1431 2022/06/28 01:13:07 - mmengine - INFO - Epoch(train) [28][1560/3757] lr: 1.000e-02 eta: 20:04:40 time: 0.313 data_time: 0.120 memory: 5148 grad_norm: 5.0597 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8516 loss: 1.8516 2022/06/28 01:13:07 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 01:13:12 - mmengine - INFO - Epoch(train) [28][1580/3757] lr: 1.000e-02 eta: 20:04:34 time: 0.821 data_time: 0.010 memory: 5148 grad_norm: 5.9145 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9190 loss: 1.9190 2022/06/28 01:13:17 - mmengine - INFO - Epoch(train) [28][1600/3757] lr: 1.000e-02 eta: 20:04:29 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 5.7744 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9817 loss: 1.9817 2022/06/28 01:13:23 - mmengine - INFO - Epoch(train) [28][1620/3757] lr: 1.000e-02 eta: 20:04:24 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.3568 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8697 loss: 1.8697 2022/06/28 01:13:28 - mmengine - INFO - Epoch(train) [28][1640/3757] lr: 1.000e-02 eta: 20:04:19 time: 0.483 data_time: 0.006 memory: 5148 grad_norm: 5.3413 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9720 loss: 1.9720 2022/06/28 01:13:33 - mmengine - INFO - Epoch(train) [28][1660/3757] lr: 1.000e-02 eta: 20:04:12 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.1211 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4735 loss: 2.4735 2022/06/28 01:13:38 - mmengine - INFO - Epoch(train) [28][1680/3757] lr: 1.000e-02 eta: 20:04:08 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 5.6712 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1230 loss: 2.1230 2022/06/28 01:13:44 - mmengine - INFO - Epoch(train) [28][1700/3757] lr: 1.000e-02 eta: 20:04:02 time: 0.591 data_time: 0.010 memory: 5148 grad_norm: 5.0539 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8323 loss: 1.8323 2022/06/28 01:13:49 - mmengine - INFO - Epoch(train) [28][1720/3757] lr: 1.000e-02 eta: 20:03:56 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 6.0263 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8504 loss: 1.8504 2022/06/28 01:13:54 - mmengine - INFO - Epoch(train) [28][1740/3757] lr: 1.000e-02 eta: 20:03:51 time: 0.192 data_time: 0.011 memory: 5148 grad_norm: 5.0377 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8061 loss: 1.8061 2022/06/28 01:13:59 - mmengine - INFO - Epoch(train) [28][1760/3757] lr: 1.000e-02 eta: 20:03:46 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 5.4830 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5691 loss: 1.5691 2022/06/28 01:14:05 - mmengine - INFO - Epoch(train) [28][1780/3757] lr: 1.000e-02 eta: 20:03:41 time: 0.733 data_time: 0.009 memory: 5148 grad_norm: 5.2962 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0109 loss: 2.0109 2022/06/28 01:14:10 - mmengine - INFO - Epoch(train) [28][1800/3757] lr: 1.000e-02 eta: 20:03:34 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.0074 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7022 loss: 1.7022 2022/06/28 01:14:15 - mmengine - INFO - Epoch(train) [28][1820/3757] lr: 1.000e-02 eta: 20:03:30 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 6.3389 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4216 loss: 2.4216 2022/06/28 01:14:20 - mmengine - INFO - Epoch(train) [28][1840/3757] lr: 1.000e-02 eta: 20:03:25 time: 0.304 data_time: 0.006 memory: 5148 grad_norm: 5.4898 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5150 loss: 2.5150 2022/06/28 01:14:26 - mmengine - INFO - Epoch(train) [28][1860/3757] lr: 1.000e-02 eta: 20:03:20 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 5.4554 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3692 loss: 2.3692 2022/06/28 01:14:31 - mmengine - INFO - Epoch(train) [28][1880/3757] lr: 1.000e-02 eta: 20:03:14 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 5.5119 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0816 loss: 2.0816 2022/06/28 01:14:36 - mmengine - INFO - Epoch(train) [28][1900/3757] lr: 1.000e-02 eta: 20:03:08 time: 0.223 data_time: 0.007 memory: 5148 grad_norm: 5.2064 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8328 loss: 1.8328 2022/06/28 01:14:42 - mmengine - INFO - Epoch(train) [28][1920/3757] lr: 1.000e-02 eta: 20:03:04 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 5.4641 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9066 loss: 1.9066 2022/06/28 01:14:47 - mmengine - INFO - Epoch(train) [28][1940/3757] lr: 1.000e-02 eta: 20:02:59 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 5.3200 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2479 loss: 2.2479 2022/06/28 01:14:52 - mmengine - INFO - Epoch(train) [28][1960/3757] lr: 1.000e-02 eta: 20:02:52 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.4394 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2523 loss: 2.2523 2022/06/28 01:14:57 - mmengine - INFO - Epoch(train) [28][1980/3757] lr: 1.000e-02 eta: 20:02:46 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 5.2562 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8924 loss: 1.8924 2022/06/28 01:15:02 - mmengine - INFO - Epoch(train) [28][2000/3757] lr: 1.000e-02 eta: 20:02:41 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.7211 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1404 loss: 2.1404 2022/06/28 01:15:08 - mmengine - INFO - Epoch(train) [28][2020/3757] lr: 1.000e-02 eta: 20:02:37 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.2857 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7906 loss: 1.7906 2022/06/28 01:15:13 - mmengine - INFO - Epoch(train) [28][2040/3757] lr: 1.000e-02 eta: 20:02:30 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.9818 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9459 loss: 1.9459 2022/06/28 01:15:18 - mmengine - INFO - Epoch(train) [28][2060/3757] lr: 1.000e-02 eta: 20:02:25 time: 0.198 data_time: 0.013 memory: 5148 grad_norm: 5.6570 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3036 loss: 2.3036 2022/06/28 01:15:24 - mmengine - INFO - Epoch(train) [28][2080/3757] lr: 1.000e-02 eta: 20:02:20 time: 0.622 data_time: 0.008 memory: 5148 grad_norm: 5.3483 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0012 loss: 2.0012 2022/06/28 01:15:29 - mmengine - INFO - Epoch(train) [28][2100/3757] lr: 1.000e-02 eta: 20:02:15 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.1116 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2765 loss: 2.2765 2022/06/28 01:15:34 - mmengine - INFO - Epoch(train) [28][2120/3757] lr: 1.000e-02 eta: 20:02:09 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 6.0516 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0231 loss: 2.0231 2022/06/28 01:15:40 - mmengine - INFO - Epoch(train) [28][2140/3757] lr: 1.000e-02 eta: 20:02:04 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 5.8706 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1384 loss: 2.1384 2022/06/28 01:15:45 - mmengine - INFO - Epoch(train) [28][2160/3757] lr: 1.000e-02 eta: 20:01:58 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 6.0571 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9174 loss: 1.9174 2022/06/28 01:15:50 - mmengine - INFO - Epoch(train) [28][2180/3757] lr: 1.000e-02 eta: 20:01:52 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 4.8326 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6475 loss: 1.6475 2022/06/28 01:15:55 - mmengine - INFO - Epoch(train) [28][2200/3757] lr: 1.000e-02 eta: 20:01:47 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 5.0556 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8945 loss: 1.8945 2022/06/28 01:16:00 - mmengine - INFO - Epoch(train) [28][2220/3757] lr: 1.000e-02 eta: 20:01:41 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 4.7694 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0281 loss: 2.0281 2022/06/28 01:16:06 - mmengine - INFO - Epoch(train) [28][2240/3757] lr: 1.000e-02 eta: 20:01:37 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 5.8707 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9888 loss: 1.9888 2022/06/28 01:16:12 - mmengine - INFO - Epoch(train) [28][2260/3757] lr: 1.000e-02 eta: 20:01:32 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 5.5044 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0706 loss: 2.0706 2022/06/28 01:16:16 - mmengine - INFO - Epoch(train) [28][2280/3757] lr: 1.000e-02 eta: 20:01:26 time: 0.446 data_time: 0.009 memory: 5148 grad_norm: 5.0177 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7985 loss: 1.7985 2022/06/28 01:16:22 - mmengine - INFO - Epoch(train) [28][2300/3757] lr: 1.000e-02 eta: 20:01:20 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.6249 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3193 loss: 2.3193 2022/06/28 01:16:27 - mmengine - INFO - Epoch(train) [28][2320/3757] lr: 1.000e-02 eta: 20:01:16 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 5.7924 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2006 loss: 2.2006 2022/06/28 01:16:32 - mmengine - INFO - Epoch(train) [28][2340/3757] lr: 1.000e-02 eta: 20:01:08 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 6.0054 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.0923 loss: 2.0923 2022/06/28 01:16:37 - mmengine - INFO - Epoch(train) [28][2360/3757] lr: 1.000e-02 eta: 20:01:03 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.1444 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4659 loss: 2.4659 2022/06/28 01:16:42 - mmengine - INFO - Epoch(train) [28][2380/3757] lr: 1.000e-02 eta: 20:00:57 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 5.1889 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0423 loss: 2.0423 2022/06/28 01:16:48 - mmengine - INFO - Epoch(train) [28][2400/3757] lr: 1.000e-02 eta: 20:00:53 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 5.2716 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0156 loss: 2.0156 2022/06/28 01:16:52 - mmengine - INFO - Epoch(train) [28][2420/3757] lr: 1.000e-02 eta: 20:00:45 time: 0.289 data_time: 0.007 memory: 5148 grad_norm: 5.9843 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0277 loss: 2.0277 2022/06/28 01:16:58 - mmengine - INFO - Epoch(train) [28][2440/3757] lr: 1.000e-02 eta: 20:00:40 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 6.3025 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9782 loss: 1.9782 2022/06/28 01:17:03 - mmengine - INFO - Epoch(train) [28][2460/3757] lr: 1.000e-02 eta: 20:00:35 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 5.3041 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9285 loss: 1.9285 2022/06/28 01:17:08 - mmengine - INFO - Epoch(train) [28][2480/3757] lr: 1.000e-02 eta: 20:00:29 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 4.9726 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8145 loss: 1.8145 2022/06/28 01:17:13 - mmengine - INFO - Epoch(train) [28][2500/3757] lr: 1.000e-02 eta: 20:00:24 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.4722 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8773 loss: 1.8773 2022/06/28 01:17:19 - mmengine - INFO - Epoch(train) [28][2520/3757] lr: 1.000e-02 eta: 20:00:20 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 6.2410 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4170 loss: 2.4170 2022/06/28 01:17:24 - mmengine - INFO - Epoch(train) [28][2540/3757] lr: 1.000e-02 eta: 20:00:13 time: 0.202 data_time: 0.020 memory: 5148 grad_norm: 6.2372 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2857 loss: 2.2857 2022/06/28 01:17:30 - mmengine - INFO - Epoch(train) [28][2560/3757] lr: 1.000e-02 eta: 20:00:08 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 5.5603 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.5233 loss: 2.5233 2022/06/28 01:17:30 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 01:17:35 - mmengine - INFO - Epoch(train) [28][2580/3757] lr: 1.000e-02 eta: 20:00:03 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 5.3541 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2485 loss: 2.2485 2022/06/28 01:17:40 - mmengine - INFO - Epoch(train) [28][2600/3757] lr: 1.000e-02 eta: 19:59:58 time: 0.198 data_time: 0.019 memory: 5148 grad_norm: 4.7349 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1190 loss: 2.1190 2022/06/28 01:17:46 - mmengine - INFO - Epoch(train) [28][2620/3757] lr: 1.000e-02 eta: 19:59:53 time: 0.193 data_time: 0.009 memory: 5148 grad_norm: 5.6658 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3087 loss: 2.3087 2022/06/28 01:17:51 - mmengine - INFO - Epoch(train) [28][2640/3757] lr: 1.000e-02 eta: 19:59:48 time: 0.198 data_time: 0.005 memory: 5148 grad_norm: 5.3367 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1297 loss: 2.1297 2022/06/28 01:17:55 - mmengine - INFO - Epoch(train) [28][2660/3757] lr: 1.000e-02 eta: 19:59:40 time: 0.198 data_time: 0.013 memory: 5148 grad_norm: 6.0701 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9442 loss: 1.9442 2022/06/28 01:18:01 - mmengine - INFO - Epoch(train) [28][2680/3757] lr: 1.000e-02 eta: 19:59:35 time: 0.194 data_time: 0.014 memory: 5148 grad_norm: 5.7140 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1752 loss: 2.1752 2022/06/28 01:18:06 - mmengine - INFO - Epoch(train) [28][2700/3757] lr: 1.000e-02 eta: 19:59:30 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 5.1176 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1143 loss: 2.1143 2022/06/28 01:18:11 - mmengine - INFO - Epoch(train) [28][2720/3757] lr: 1.000e-02 eta: 19:59:24 time: 0.211 data_time: 0.033 memory: 5148 grad_norm: 5.3030 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1845 loss: 2.1845 2022/06/28 01:18:17 - mmengine - INFO - Epoch(train) [28][2740/3757] lr: 1.000e-02 eta: 19:59:19 time: 0.200 data_time: 0.012 memory: 5148 grad_norm: 5.6644 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2336 loss: 2.2336 2022/06/28 01:18:22 - mmengine - INFO - Epoch(train) [28][2760/3757] lr: 1.000e-02 eta: 19:59:14 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 6.0159 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2621 loss: 2.2621 2022/06/28 01:18:28 - mmengine - INFO - Epoch(train) [28][2780/3757] lr: 1.000e-02 eta: 19:59:10 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 5.6637 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9125 loss: 1.9125 2022/06/28 01:18:33 - mmengine - INFO - Epoch(train) [28][2800/3757] lr: 1.000e-02 eta: 19:59:03 time: 0.211 data_time: 0.015 memory: 5148 grad_norm: 5.7917 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4663 loss: 2.4663 2022/06/28 01:18:38 - mmengine - INFO - Epoch(train) [28][2820/3757] lr: 1.000e-02 eta: 19:58:58 time: 0.399 data_time: 0.007 memory: 5148 grad_norm: 6.2162 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9010 loss: 1.9010 2022/06/28 01:18:43 - mmengine - INFO - Epoch(train) [28][2840/3757] lr: 1.000e-02 eta: 19:58:53 time: 0.200 data_time: 0.025 memory: 5148 grad_norm: 6.6341 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.2301 loss: 2.2301 2022/06/28 01:18:49 - mmengine - INFO - Epoch(train) [28][2860/3757] lr: 1.000e-02 eta: 19:58:48 time: 0.202 data_time: 0.012 memory: 5148 grad_norm: 5.4774 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2111 loss: 2.2111 2022/06/28 01:18:54 - mmengine - INFO - Epoch(train) [28][2880/3757] lr: 1.000e-02 eta: 19:58:42 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 6.0467 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0352 loss: 2.0352 2022/06/28 01:18:59 - mmengine - INFO - Epoch(train) [28][2900/3757] lr: 1.000e-02 eta: 19:58:37 time: 0.203 data_time: 0.022 memory: 5148 grad_norm: 5.7861 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0939 loss: 2.0939 2022/06/28 01:19:05 - mmengine - INFO - Epoch(train) [28][2920/3757] lr: 1.000e-02 eta: 19:58:32 time: 0.194 data_time: 0.011 memory: 5148 grad_norm: 5.6524 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7277 loss: 1.7277 2022/06/28 01:19:10 - mmengine - INFO - Epoch(train) [28][2940/3757] lr: 1.000e-02 eta: 19:58:28 time: 0.207 data_time: 0.011 memory: 5148 grad_norm: 5.4691 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0058 loss: 2.0058 2022/06/28 01:19:16 - mmengine - INFO - Epoch(train) [28][2960/3757] lr: 1.000e-02 eta: 19:58:22 time: 0.205 data_time: 0.025 memory: 5148 grad_norm: 5.5797 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6274 loss: 2.6274 2022/06/28 01:19:21 - mmengine - INFO - Epoch(train) [28][2980/3757] lr: 1.000e-02 eta: 19:58:17 time: 0.231 data_time: 0.010 memory: 5148 grad_norm: 6.2116 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0949 loss: 2.0949 2022/06/28 01:19:27 - mmengine - INFO - Epoch(train) [28][3000/3757] lr: 1.000e-02 eta: 19:58:12 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 5.8208 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6519 loss: 2.6519 2022/06/28 01:19:32 - mmengine - INFO - Epoch(train) [28][3020/3757] lr: 1.000e-02 eta: 19:58:07 time: 0.200 data_time: 0.020 memory: 5148 grad_norm: 5.6137 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3849 loss: 1.3849 2022/06/28 01:19:38 - mmengine - INFO - Epoch(train) [28][3040/3757] lr: 1.000e-02 eta: 19:58:03 time: 0.216 data_time: 0.016 memory: 5148 grad_norm: 5.8919 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9593 loss: 1.9593 2022/06/28 01:19:43 - mmengine - INFO - Epoch(train) [28][3060/3757] lr: 1.000e-02 eta: 19:57:58 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 6.4927 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1249 loss: 2.1249 2022/06/28 01:19:48 - mmengine - INFO - Epoch(train) [28][3080/3757] lr: 1.000e-02 eta: 19:57:52 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 5.3243 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3746 loss: 2.3746 2022/06/28 01:19:53 - mmengine - INFO - Epoch(train) [28][3100/3757] lr: 1.000e-02 eta: 19:57:46 time: 0.207 data_time: 0.016 memory: 5148 grad_norm: 5.5832 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2687 loss: 2.2687 2022/06/28 01:19:59 - mmengine - INFO - Epoch(train) [28][3120/3757] lr: 1.000e-02 eta: 19:57:42 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 4.6066 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1294 loss: 2.1294 2022/06/28 01:20:04 - mmengine - INFO - Epoch(train) [28][3140/3757] lr: 1.000e-02 eta: 19:57:36 time: 0.203 data_time: 0.009 memory: 5148 grad_norm: 5.5737 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0635 loss: 2.0635 2022/06/28 01:20:09 - mmengine - INFO - Epoch(train) [28][3160/3757] lr: 1.000e-02 eta: 19:57:30 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 5.8972 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.2577 loss: 2.2577 2022/06/28 01:20:15 - mmengine - INFO - Epoch(train) [28][3180/3757] lr: 1.000e-02 eta: 19:57:25 time: 0.209 data_time: 0.010 memory: 5148 grad_norm: 6.2123 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9352 loss: 1.9352 2022/06/28 01:20:20 - mmengine - INFO - Epoch(train) [28][3200/3757] lr: 1.000e-02 eta: 19:57:20 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 5.4434 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8015 loss: 1.8015 2022/06/28 01:20:25 - mmengine - INFO - Epoch(train) [28][3220/3757] lr: 1.000e-02 eta: 19:57:15 time: 0.221 data_time: 0.006 memory: 5148 grad_norm: 6.0219 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1238 loss: 2.1238 2022/06/28 01:20:30 - mmengine - INFO - Epoch(train) [28][3240/3757] lr: 1.000e-02 eta: 19:57:09 time: 0.206 data_time: 0.006 memory: 5148 grad_norm: 5.5647 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0800 loss: 2.0800 2022/06/28 01:20:36 - mmengine - INFO - Epoch(train) [28][3260/3757] lr: 1.000e-02 eta: 19:57:04 time: 0.193 data_time: 0.008 memory: 5148 grad_norm: 6.5192 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8204 loss: 1.8204 2022/06/28 01:20:41 - mmengine - INFO - Epoch(train) [28][3280/3757] lr: 1.000e-02 eta: 19:56:58 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 5.4463 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1044 loss: 2.1044 2022/06/28 01:20:46 - mmengine - INFO - Epoch(train) [28][3300/3757] lr: 1.000e-02 eta: 19:56:53 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 6.0074 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3371 loss: 2.3371 2022/06/28 01:20:52 - mmengine - INFO - Epoch(train) [28][3320/3757] lr: 1.000e-02 eta: 19:56:49 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.0124 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9672 loss: 1.9672 2022/06/28 01:20:57 - mmengine - INFO - Epoch(train) [28][3340/3757] lr: 1.000e-02 eta: 19:56:42 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 6.0829 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1602 loss: 2.1602 2022/06/28 01:21:02 - mmengine - INFO - Epoch(train) [28][3360/3757] lr: 1.000e-02 eta: 19:56:37 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 6.0555 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0968 loss: 2.0968 2022/06/28 01:21:08 - mmengine - INFO - Epoch(train) [28][3380/3757] lr: 1.000e-02 eta: 19:56:33 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 5.8089 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0791 loss: 2.0791 2022/06/28 01:21:13 - mmengine - INFO - Epoch(train) [28][3400/3757] lr: 1.000e-02 eta: 19:56:26 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 5.3373 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1790 loss: 2.1790 2022/06/28 01:21:18 - mmengine - INFO - Epoch(train) [28][3420/3757] lr: 1.000e-02 eta: 19:56:21 time: 0.205 data_time: 0.006 memory: 5148 grad_norm: 5.2949 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0346 loss: 2.0346 2022/06/28 01:21:23 - mmengine - INFO - Epoch(train) [28][3440/3757] lr: 1.000e-02 eta: 19:56:15 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.6007 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0746 loss: 2.0746 2022/06/28 01:21:29 - mmengine - INFO - Epoch(train) [28][3460/3757] lr: 1.000e-02 eta: 19:56:11 time: 0.454 data_time: 0.007 memory: 5148 grad_norm: 5.7458 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0185 loss: 2.0185 2022/06/28 01:21:34 - mmengine - INFO - Epoch(train) [28][3480/3757] lr: 1.000e-02 eta: 19:56:05 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 5.7050 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2112 loss: 2.2112 2022/06/28 01:21:39 - mmengine - INFO - Epoch(train) [28][3500/3757] lr: 1.000e-02 eta: 19:56:00 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 5.2458 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4392 loss: 2.4392 2022/06/28 01:21:45 - mmengine - INFO - Epoch(train) [28][3520/3757] lr: 1.000e-02 eta: 19:55:56 time: 1.087 data_time: 0.007 memory: 5148 grad_norm: 5.4424 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1976 loss: 2.1976 2022/06/28 01:21:50 - mmengine - INFO - Epoch(train) [28][3540/3757] lr: 1.000e-02 eta: 19:55:49 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.6153 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9092 loss: 1.9092 2022/06/28 01:21:55 - mmengine - INFO - Epoch(train) [28][3560/3757] lr: 1.000e-02 eta: 19:55:44 time: 0.406 data_time: 0.007 memory: 5148 grad_norm: 6.5516 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0496 loss: 2.0496 2022/06/28 01:21:55 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 01:22:01 - mmengine - INFO - Epoch(train) [28][3580/3757] lr: 1.000e-02 eta: 19:55:39 time: 0.730 data_time: 0.007 memory: 5148 grad_norm: 5.9424 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2121 loss: 2.2121 2022/06/28 01:22:06 - mmengine - INFO - Epoch(train) [28][3600/3757] lr: 1.000e-02 eta: 19:55:34 time: 0.206 data_time: 0.006 memory: 5148 grad_norm: 6.0350 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.7559 loss: 1.7559 2022/06/28 01:22:12 - mmengine - INFO - Epoch(train) [28][3620/3757] lr: 1.000e-02 eta: 19:55:30 time: 0.889 data_time: 0.006 memory: 5148 grad_norm: 5.3109 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0999 loss: 2.0999 2022/06/28 01:22:17 - mmengine - INFO - Epoch(train) [28][3640/3757] lr: 1.000e-02 eta: 19:55:24 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 5.6808 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9672 loss: 1.9672 2022/06/28 01:22:22 - mmengine - INFO - Epoch(train) [28][3660/3757] lr: 1.000e-02 eta: 19:55:18 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.7665 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2503 loss: 2.2503 2022/06/28 01:22:28 - mmengine - INFO - Epoch(train) [28][3680/3757] lr: 1.000e-02 eta: 19:55:14 time: 0.396 data_time: 0.007 memory: 5148 grad_norm: 5.9982 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8495 loss: 1.8495 2022/06/28 01:22:33 - mmengine - INFO - Epoch(train) [28][3700/3757] lr: 1.000e-02 eta: 19:55:09 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.9630 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1663 loss: 2.1663 2022/06/28 01:22:38 - mmengine - INFO - Epoch(train) [28][3720/3757] lr: 1.000e-02 eta: 19:55:03 time: 0.195 data_time: 0.006 memory: 5148 grad_norm: 5.1493 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2262 loss: 2.2262 2022/06/28 01:22:44 - mmengine - INFO - Epoch(train) [28][3740/3757] lr: 1.000e-02 eta: 19:54:58 time: 0.226 data_time: 0.011 memory: 5148 grad_norm: 5.6822 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8961 loss: 1.8961 2022/06/28 01:22:47 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 01:22:54 - mmengine - INFO - Epoch(val) [28][20/310] eta: 0:01:14 time: 0.231 data_time: 0.160 memory: 5148 2022/06/28 01:22:58 - mmengine - INFO - Epoch(val) [28][40/310] eta: 0:01:00 time: 0.082 data_time: 0.009 memory: 1367 2022/06/28 01:23:04 - mmengine - INFO - Epoch(val) [28][60/310] eta: 0:00:55 time: 0.081 data_time: 0.005 memory: 1367 2022/06/28 01:23:09 - mmengine - INFO - Epoch(val) [28][80/310] eta: 0:01:00 time: 0.267 data_time: 0.187 memory: 1367 2022/06/28 01:23:14 - mmengine - INFO - Epoch(val) [28][100/310] eta: 0:00:48 time: 0.168 data_time: 0.098 memory: 1367 2022/06/28 01:23:20 - mmengine - INFO - Epoch(val) [28][120/310] eta: 0:00:54 time: 0.686 data_time: 0.615 memory: 1367 2022/06/28 01:23:25 - mmengine - INFO - Epoch(val) [28][140/310] eta: 0:00:48 time: 0.727 data_time: 0.648 memory: 1367 2022/06/28 01:23:31 - mmengine - INFO - Epoch(val) [28][160/310] eta: 0:00:44 time: 0.859 data_time: 0.782 memory: 1367 2022/06/28 01:23:36 - mmengine - INFO - Epoch(val) [28][180/310] eta: 0:00:42 time: 0.830 data_time: 0.758 memory: 1367 2022/06/28 01:23:41 - mmengine - INFO - Epoch(val) [28][200/310] eta: 0:00:31 time: 0.627 data_time: 0.556 memory: 1367 2022/06/28 01:23:47 - mmengine - INFO - Epoch(val) [28][220/310] eta: 0:00:28 time: 0.081 data_time: 0.005 memory: 1367 2022/06/28 01:23:52 - mmengine - INFO - Epoch(val) [28][240/310] eta: 0:00:19 time: 0.688 data_time: 0.613 memory: 1367 2022/06/28 01:23:58 - mmengine - INFO - Epoch(val) [28][260/310] eta: 0:00:18 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 01:24:02 - mmengine - INFO - Epoch(val) [28][280/310] eta: 0:00:08 time: 0.290 data_time: 0.213 memory: 1367 2022/06/28 01:24:08 - mmengine - INFO - Epoch(val) [28][300/310] eta: 0:00:03 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 01:24:11 - mmengine - INFO - Epoch(val) [28][310/310] acc/top1: 0.5475 acc/top5: 0.7965 acc/mean1: 0.5474 2022/06/28 01:24:20 - mmengine - INFO - Epoch(train) [29][20/3757] lr: 1.000e-02 eta: 19:54:50 time: 0.190 data_time: 0.007 memory: 5148 grad_norm: 5.8608 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9250 loss: 1.9250 2022/06/28 01:24:25 - mmengine - INFO - Epoch(train) [29][40/3757] lr: 1.000e-02 eta: 19:54:45 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 5.5530 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8162 loss: 1.8162 2022/06/28 01:24:30 - mmengine - INFO - Epoch(train) [29][60/3757] lr: 1.000e-02 eta: 19:54:39 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.2042 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8947 loss: 1.8947 2022/06/28 01:24:36 - mmengine - INFO - Epoch(train) [29][80/3757] lr: 1.000e-02 eta: 19:54:35 time: 0.189 data_time: 0.013 memory: 5148 grad_norm: 5.2683 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2133 loss: 2.2133 2022/06/28 01:24:41 - mmengine - INFO - Epoch(train) [29][100/3757] lr: 1.000e-02 eta: 19:54:30 time: 0.199 data_time: 0.014 memory: 5148 grad_norm: 5.0106 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2064 loss: 2.2064 2022/06/28 01:24:46 - mmengine - INFO - Epoch(train) [29][120/3757] lr: 1.000e-02 eta: 19:54:23 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 6.1446 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1195 loss: 2.1195 2022/06/28 01:24:52 - mmengine - INFO - Epoch(train) [29][140/3757] lr: 1.000e-02 eta: 19:54:19 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 5.5403 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0346 loss: 2.0346 2022/06/28 01:24:57 - mmengine - INFO - Epoch(train) [29][160/3757] lr: 1.000e-02 eta: 19:54:14 time: 0.200 data_time: 0.012 memory: 5148 grad_norm: 4.8928 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9834 loss: 1.9834 2022/06/28 01:25:02 - mmengine - INFO - Epoch(train) [29][180/3757] lr: 1.000e-02 eta: 19:54:07 time: 0.189 data_time: 0.007 memory: 5148 grad_norm: 5.9636 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9706 loss: 1.9706 2022/06/28 01:25:08 - mmengine - INFO - Epoch(train) [29][200/3757] lr: 1.000e-02 eta: 19:54:04 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 5.9217 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9682 loss: 1.9682 2022/06/28 01:25:14 - mmengine - INFO - Epoch(train) [29][220/3757] lr: 1.000e-02 eta: 19:53:59 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 4.8637 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9692 loss: 1.9692 2022/06/28 01:25:19 - mmengine - INFO - Epoch(train) [29][240/3757] lr: 1.000e-02 eta: 19:53:53 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 4.8019 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3639 loss: 2.3639 2022/06/28 01:25:24 - mmengine - INFO - Epoch(train) [29][260/3757] lr: 1.000e-02 eta: 19:53:49 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 5.5745 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2156 loss: 2.2156 2022/06/28 01:25:29 - mmengine - INFO - Epoch(train) [29][280/3757] lr: 1.000e-02 eta: 19:53:43 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 5.1646 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4559 loss: 1.4559 2022/06/28 01:25:35 - mmengine - INFO - Epoch(train) [29][300/3757] lr: 1.000e-02 eta: 19:53:37 time: 0.194 data_time: 0.011 memory: 5148 grad_norm: 5.5608 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9205 loss: 1.9205 2022/06/28 01:25:40 - mmengine - INFO - Epoch(train) [29][320/3757] lr: 1.000e-02 eta: 19:53:33 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 5.7141 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2405 loss: 2.2405 2022/06/28 01:25:46 - mmengine - INFO - Epoch(train) [29][340/3757] lr: 1.000e-02 eta: 19:53:29 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.0609 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0811 loss: 2.0811 2022/06/28 01:25:50 - mmengine - INFO - Epoch(train) [29][360/3757] lr: 1.000e-02 eta: 19:53:21 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 6.1012 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8565 loss: 1.8565 2022/06/28 01:25:56 - mmengine - INFO - Epoch(train) [29][380/3757] lr: 1.000e-02 eta: 19:53:17 time: 0.194 data_time: 0.013 memory: 5148 grad_norm: 6.5744 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1075 loss: 2.1075 2022/06/28 01:26:02 - mmengine - INFO - Epoch(train) [29][400/3757] lr: 1.000e-02 eta: 19:53:13 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 6.1027 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1847 loss: 2.1847 2022/06/28 01:26:07 - mmengine - INFO - Epoch(train) [29][420/3757] lr: 1.000e-02 eta: 19:53:07 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.3578 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.6943 loss: 1.6943 2022/06/28 01:26:12 - mmengine - INFO - Epoch(train) [29][440/3757] lr: 1.000e-02 eta: 19:53:01 time: 0.197 data_time: 0.012 memory: 5148 grad_norm: 5.3334 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7087 loss: 1.7087 2022/06/28 01:26:18 - mmengine - INFO - Epoch(train) [29][460/3757] lr: 1.000e-02 eta: 19:52:56 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 5.0643 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2286 loss: 2.2286 2022/06/28 01:26:22 - mmengine - INFO - Epoch(train) [29][480/3757] lr: 1.000e-02 eta: 19:52:50 time: 0.196 data_time: 0.006 memory: 5148 grad_norm: 6.0167 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4267 loss: 2.4267 2022/06/28 01:26:29 - mmengine - INFO - Epoch(train) [29][500/3757] lr: 1.000e-02 eta: 19:52:47 time: 0.209 data_time: 0.033 memory: 5148 grad_norm: 4.5924 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8468 loss: 1.8468 2022/06/28 01:26:34 - mmengine - INFO - Epoch(train) [29][520/3757] lr: 1.000e-02 eta: 19:52:41 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.2556 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0624 loss: 2.0624 2022/06/28 01:26:39 - mmengine - INFO - Epoch(train) [29][540/3757] lr: 1.000e-02 eta: 19:52:36 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 5.2433 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7834 loss: 1.7834 2022/06/28 01:26:45 - mmengine - INFO - Epoch(train) [29][560/3757] lr: 1.000e-02 eta: 19:52:32 time: 0.215 data_time: 0.026 memory: 5148 grad_norm: 5.6974 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2640 loss: 2.2640 2022/06/28 01:26:50 - mmengine - INFO - Epoch(train) [29][580/3757] lr: 1.000e-02 eta: 19:52:26 time: 0.192 data_time: 0.010 memory: 5148 grad_norm: 5.2198 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7442 loss: 1.7442 2022/06/28 01:26:55 - mmengine - INFO - Epoch(train) [29][600/3757] lr: 1.000e-02 eta: 19:52:21 time: 0.190 data_time: 0.006 memory: 5148 grad_norm: 6.7304 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1095 loss: 2.1095 2022/06/28 01:27:01 - mmengine - INFO - Epoch(train) [29][620/3757] lr: 1.000e-02 eta: 19:52:16 time: 0.216 data_time: 0.034 memory: 5148 grad_norm: 6.9453 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9007 loss: 1.9007 2022/06/28 01:27:06 - mmengine - INFO - Epoch(train) [29][640/3757] lr: 1.000e-02 eta: 19:52:10 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 4.7157 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9556 loss: 1.9556 2022/06/28 01:27:11 - mmengine - INFO - Epoch(train) [29][660/3757] lr: 1.000e-02 eta: 19:52:04 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.2338 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8364 loss: 1.8364 2022/06/28 01:27:17 - mmengine - INFO - Epoch(train) [29][680/3757] lr: 1.000e-02 eta: 19:52:00 time: 0.201 data_time: 0.028 memory: 5148 grad_norm: 5.4889 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6735 loss: 1.6735 2022/06/28 01:27:21 - mmengine - INFO - Epoch(train) [29][700/3757] lr: 1.000e-02 eta: 19:51:53 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.8979 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7407 loss: 1.7407 2022/06/28 01:27:27 - mmengine - INFO - Epoch(train) [29][720/3757] lr: 1.000e-02 eta: 19:51:48 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 5.2281 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8895 loss: 1.8895 2022/06/28 01:27:32 - mmengine - INFO - Epoch(train) [29][740/3757] lr: 1.000e-02 eta: 19:51:44 time: 0.197 data_time: 0.021 memory: 5148 grad_norm: 5.9798 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4517 loss: 2.4517 2022/06/28 01:27:38 - mmengine - INFO - Epoch(train) [29][760/3757] lr: 1.000e-02 eta: 19:51:38 time: 0.214 data_time: 0.018 memory: 5148 grad_norm: 5.1181 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9094 loss: 1.9094 2022/06/28 01:27:43 - mmengine - INFO - Epoch(train) [29][780/3757] lr: 1.000e-02 eta: 19:51:32 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 5.1543 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3178 loss: 2.3178 2022/06/28 01:27:49 - mmengine - INFO - Epoch(train) [29][800/3757] lr: 1.000e-02 eta: 19:51:29 time: 0.237 data_time: 0.024 memory: 5148 grad_norm: 6.5455 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9543 loss: 1.9543 2022/06/28 01:27:50 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 01:27:54 - mmengine - INFO - Epoch(train) [29][820/3757] lr: 1.000e-02 eta: 19:51:22 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 5.0122 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1799 loss: 2.1799 2022/06/28 01:27:59 - mmengine - INFO - Epoch(train) [29][840/3757] lr: 1.000e-02 eta: 19:51:16 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 4.8403 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4186 loss: 2.4186 2022/06/28 01:28:04 - mmengine - INFO - Epoch(train) [29][860/3757] lr: 1.000e-02 eta: 19:51:11 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 5.2737 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9480 loss: 1.9480 2022/06/28 01:28:10 - mmengine - INFO - Epoch(train) [29][880/3757] lr: 1.000e-02 eta: 19:51:08 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 5.4851 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7204 loss: 1.7204 2022/06/28 01:28:15 - mmengine - INFO - Epoch(train) [29][900/3757] lr: 1.000e-02 eta: 19:51:01 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 6.0555 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8017 loss: 1.8017 2022/06/28 01:28:21 - mmengine - INFO - Epoch(train) [29][920/3757] lr: 1.000e-02 eta: 19:50:57 time: 0.191 data_time: 0.011 memory: 5148 grad_norm: 5.9955 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6405 loss: 1.6405 2022/06/28 01:28:26 - mmengine - INFO - Epoch(train) [29][940/3757] lr: 1.000e-02 eta: 19:50:52 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.6381 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2247 loss: 2.2247 2022/06/28 01:28:31 - mmengine - INFO - Epoch(train) [29][960/3757] lr: 1.000e-02 eta: 19:50:45 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 5.2192 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8796 loss: 1.8796 2022/06/28 01:28:36 - mmengine - INFO - Epoch(train) [29][980/3757] lr: 1.000e-02 eta: 19:50:40 time: 0.201 data_time: 0.019 memory: 5148 grad_norm: 6.3408 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1975 loss: 2.1975 2022/06/28 01:28:42 - mmengine - INFO - Epoch(train) [29][1000/3757] lr: 1.000e-02 eta: 19:50:35 time: 0.195 data_time: 0.006 memory: 5148 grad_norm: 5.6575 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7886 loss: 1.7886 2022/06/28 01:28:47 - mmengine - INFO - Epoch(train) [29][1020/3757] lr: 1.000e-02 eta: 19:50:29 time: 0.191 data_time: 0.006 memory: 5148 grad_norm: 5.6933 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1274 loss: 2.1274 2022/06/28 01:28:52 - mmengine - INFO - Epoch(train) [29][1040/3757] lr: 1.000e-02 eta: 19:50:24 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.3578 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3472 loss: 2.3472 2022/06/28 01:28:58 - mmengine - INFO - Epoch(train) [29][1060/3757] lr: 1.000e-02 eta: 19:50:20 time: 0.223 data_time: 0.040 memory: 5148 grad_norm: 4.8695 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1175 loss: 2.1175 2022/06/28 01:29:03 - mmengine - INFO - Epoch(train) [29][1080/3757] lr: 1.000e-02 eta: 19:50:13 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 6.0068 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4683 loss: 2.4683 2022/06/28 01:29:09 - mmengine - INFO - Epoch(train) [29][1100/3757] lr: 1.000e-02 eta: 19:50:10 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 5.4482 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1709 loss: 2.1709 2022/06/28 01:29:15 - mmengine - INFO - Epoch(train) [29][1120/3757] lr: 1.000e-02 eta: 19:50:06 time: 0.204 data_time: 0.021 memory: 5148 grad_norm: 6.6315 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1493 loss: 2.1493 2022/06/28 01:29:19 - mmengine - INFO - Epoch(train) [29][1140/3757] lr: 1.000e-02 eta: 19:49:58 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 5.3845 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8653 loss: 1.8653 2022/06/28 01:29:25 - mmengine - INFO - Epoch(train) [29][1160/3757] lr: 1.000e-02 eta: 19:49:54 time: 0.213 data_time: 0.019 memory: 5148 grad_norm: 5.5802 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8268 loss: 1.8268 2022/06/28 01:29:30 - mmengine - INFO - Epoch(train) [29][1180/3757] lr: 1.000e-02 eta: 19:49:48 time: 0.197 data_time: 0.014 memory: 5148 grad_norm: 4.3975 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9764 loss: 1.9764 2022/06/28 01:29:35 - mmengine - INFO - Epoch(train) [29][1200/3757] lr: 1.000e-02 eta: 19:49:42 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 6.6312 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9607 loss: 1.9607 2022/06/28 01:29:40 - mmengine - INFO - Epoch(train) [29][1220/3757] lr: 1.000e-02 eta: 19:49:37 time: 0.202 data_time: 0.015 memory: 5148 grad_norm: 5.5035 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5472 loss: 2.5472 2022/06/28 01:29:45 - mmengine - INFO - Epoch(train) [29][1240/3757] lr: 1.000e-02 eta: 19:49:32 time: 0.196 data_time: 0.013 memory: 5148 grad_norm: 6.2318 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0627 loss: 2.0627 2022/06/28 01:29:50 - mmengine - INFO - Epoch(train) [29][1260/3757] lr: 1.000e-02 eta: 19:49:25 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 5.9364 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4447 loss: 2.4447 2022/06/28 01:29:56 - mmengine - INFO - Epoch(train) [29][1280/3757] lr: 1.000e-02 eta: 19:49:21 time: 0.217 data_time: 0.011 memory: 5148 grad_norm: 5.9066 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0134 loss: 2.0134 2022/06/28 01:30:02 - mmengine - INFO - Epoch(train) [29][1300/3757] lr: 1.000e-02 eta: 19:49:17 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 5.4593 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1080 loss: 2.1080 2022/06/28 01:30:06 - mmengine - INFO - Epoch(train) [29][1320/3757] lr: 1.000e-02 eta: 19:49:10 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 6.7356 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1465 loss: 2.1465 2022/06/28 01:30:12 - mmengine - INFO - Epoch(train) [29][1340/3757] lr: 1.000e-02 eta: 19:49:06 time: 0.211 data_time: 0.019 memory: 5148 grad_norm: 5.8535 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9362 loss: 1.9362 2022/06/28 01:30:18 - mmengine - INFO - Epoch(train) [29][1360/3757] lr: 1.000e-02 eta: 19:49:02 time: 0.265 data_time: 0.012 memory: 5148 grad_norm: 5.3876 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6445 loss: 1.6445 2022/06/28 01:30:23 - mmengine - INFO - Epoch(train) [29][1380/3757] lr: 1.000e-02 eta: 19:48:55 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.5894 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9934 loss: 1.9934 2022/06/28 01:30:29 - mmengine - INFO - Epoch(train) [29][1400/3757] lr: 1.000e-02 eta: 19:48:51 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 5.7063 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7470 loss: 1.7470 2022/06/28 01:30:34 - mmengine - INFO - Epoch(train) [29][1420/3757] lr: 1.000e-02 eta: 19:48:46 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 6.3123 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1545 loss: 2.1545 2022/06/28 01:30:39 - mmengine - INFO - Epoch(train) [29][1440/3757] lr: 1.000e-02 eta: 19:48:40 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 5.0543 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0773 loss: 2.0773 2022/06/28 01:30:44 - mmengine - INFO - Epoch(train) [29][1460/3757] lr: 1.000e-02 eta: 19:48:33 time: 0.526 data_time: 0.006 memory: 5148 grad_norm: 5.4664 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6405 loss: 1.6405 2022/06/28 01:30:49 - mmengine - INFO - Epoch(train) [29][1480/3757] lr: 1.000e-02 eta: 19:48:28 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.9853 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2321 loss: 2.2321 2022/06/28 01:30:55 - mmengine - INFO - Epoch(train) [29][1500/3757] lr: 1.000e-02 eta: 19:48:23 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 5.4345 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8700 loss: 1.8700 2022/06/28 01:31:01 - mmengine - INFO - Epoch(train) [29][1520/3757] lr: 1.000e-02 eta: 19:48:19 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 5.8372 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7543 loss: 1.7543 2022/06/28 01:31:06 - mmengine - INFO - Epoch(train) [29][1540/3757] lr: 1.000e-02 eta: 19:48:13 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.4671 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8936 loss: 1.8936 2022/06/28 01:31:11 - mmengine - INFO - Epoch(train) [29][1560/3757] lr: 1.000e-02 eta: 19:48:09 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.4287 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.4043 loss: 2.4043 2022/06/28 01:31:16 - mmengine - INFO - Epoch(train) [29][1580/3757] lr: 1.000e-02 eta: 19:48:03 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.5549 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9129 loss: 1.9129 2022/06/28 01:31:22 - mmengine - INFO - Epoch(train) [29][1600/3757] lr: 1.000e-02 eta: 19:47:58 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 6.2760 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2891 loss: 2.2891 2022/06/28 01:31:28 - mmengine - INFO - Epoch(train) [29][1620/3757] lr: 1.000e-02 eta: 19:47:54 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 5.4230 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0789 loss: 2.0789 2022/06/28 01:31:32 - mmengine - INFO - Epoch(train) [29][1640/3757] lr: 1.000e-02 eta: 19:47:47 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 5.2396 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1517 loss: 2.1517 2022/06/28 01:31:38 - mmengine - INFO - Epoch(train) [29][1660/3757] lr: 1.000e-02 eta: 19:47:42 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 6.6075 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6757 loss: 1.6757 2022/06/28 01:31:43 - mmengine - INFO - Epoch(train) [29][1680/3757] lr: 1.000e-02 eta: 19:47:37 time: 0.191 data_time: 0.010 memory: 5148 grad_norm: 5.1595 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2873 loss: 2.2873 2022/06/28 01:31:48 - mmengine - INFO - Epoch(train) [29][1700/3757] lr: 1.000e-02 eta: 19:47:31 time: 0.217 data_time: 0.006 memory: 5148 grad_norm: 6.1475 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5826 loss: 1.5826 2022/06/28 01:31:54 - mmengine - INFO - Epoch(train) [29][1720/3757] lr: 1.000e-02 eta: 19:47:27 time: 0.208 data_time: 0.006 memory: 5148 grad_norm: 5.7474 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9954 loss: 1.9954 2022/06/28 01:31:59 - mmengine - INFO - Epoch(train) [29][1740/3757] lr: 1.000e-02 eta: 19:47:22 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 5.8918 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7867 loss: 1.7867 2022/06/28 01:32:04 - mmengine - INFO - Epoch(train) [29][1760/3757] lr: 1.000e-02 eta: 19:47:15 time: 0.231 data_time: 0.017 memory: 5148 grad_norm: 6.7621 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2756 loss: 2.2756 2022/06/28 01:32:10 - mmengine - INFO - Epoch(train) [29][1780/3757] lr: 1.000e-02 eta: 19:47:11 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.7351 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8042 loss: 1.8042 2022/06/28 01:32:15 - mmengine - INFO - Epoch(train) [29][1800/3757] lr: 1.000e-02 eta: 19:47:06 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.5958 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1514 loss: 2.1514 2022/06/28 01:32:16 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 01:32:21 - mmengine - INFO - Epoch(train) [29][1820/3757] lr: 1.000e-02 eta: 19:47:02 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.2693 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2422 loss: 2.2422 2022/06/28 01:32:26 - mmengine - INFO - Epoch(train) [29][1840/3757] lr: 1.000e-02 eta: 19:46:55 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 5.4754 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3377 loss: 2.3377 2022/06/28 01:32:31 - mmengine - INFO - Epoch(train) [29][1860/3757] lr: 1.000e-02 eta: 19:46:49 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 5.6383 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3581 loss: 2.3581 2022/06/28 01:32:36 - mmengine - INFO - Epoch(train) [29][1880/3757] lr: 1.000e-02 eta: 19:46:44 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 5.8444 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2236 loss: 2.2236 2022/06/28 01:32:42 - mmengine - INFO - Epoch(train) [29][1900/3757] lr: 1.000e-02 eta: 19:46:39 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.9902 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4139 loss: 2.4139 2022/06/28 01:32:47 - mmengine - INFO - Epoch(train) [29][1920/3757] lr: 1.000e-02 eta: 19:46:34 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 5.3899 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7652 loss: 1.7652 2022/06/28 01:32:52 - mmengine - INFO - Epoch(train) [29][1940/3757] lr: 1.000e-02 eta: 19:46:29 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 5.6140 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3636 loss: 2.3636 2022/06/28 01:32:58 - mmengine - INFO - Epoch(train) [29][1960/3757] lr: 1.000e-02 eta: 19:46:24 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 5.2959 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4792 loss: 2.4792 2022/06/28 01:33:03 - mmengine - INFO - Epoch(train) [29][1980/3757] lr: 1.000e-02 eta: 19:46:18 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 5.2867 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1522 loss: 2.1522 2022/06/28 01:33:09 - mmengine - INFO - Epoch(train) [29][2000/3757] lr: 1.000e-02 eta: 19:46:14 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 5.2136 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1425 loss: 2.1425 2022/06/28 01:33:14 - mmengine - INFO - Epoch(train) [29][2020/3757] lr: 1.000e-02 eta: 19:46:08 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.2531 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.7294 loss: 1.7294 2022/06/28 01:33:19 - mmengine - INFO - Epoch(train) [29][2040/3757] lr: 1.000e-02 eta: 19:46:03 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.0647 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9538 loss: 1.9538 2022/06/28 01:33:25 - mmengine - INFO - Epoch(train) [29][2060/3757] lr: 1.000e-02 eta: 19:45:58 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 6.0512 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2725 loss: 2.2725 2022/06/28 01:33:30 - mmengine - INFO - Epoch(train) [29][2080/3757] lr: 1.000e-02 eta: 19:45:52 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.6974 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.1133 loss: 2.1133 2022/06/28 01:33:35 - mmengine - INFO - Epoch(train) [29][2100/3757] lr: 1.000e-02 eta: 19:45:47 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.9509 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9102 loss: 1.9102 2022/06/28 01:33:41 - mmengine - INFO - Epoch(train) [29][2120/3757] lr: 1.000e-02 eta: 19:45:44 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 6.0513 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1651 loss: 2.1651 2022/06/28 01:33:45 - mmengine - INFO - Epoch(train) [29][2140/3757] lr: 1.000e-02 eta: 19:45:35 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 5.3715 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7184 loss: 1.7184 2022/06/28 01:33:50 - mmengine - INFO - Epoch(train) [29][2160/3757] lr: 1.000e-02 eta: 19:45:30 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 6.7068 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9247 loss: 1.9247 2022/06/28 01:33:56 - mmengine - INFO - Epoch(train) [29][2180/3757] lr: 1.000e-02 eta: 19:45:25 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.8479 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1499 loss: 2.1499 2022/06/28 01:34:01 - mmengine - INFO - Epoch(train) [29][2200/3757] lr: 1.000e-02 eta: 19:45:20 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 5.8586 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1067 loss: 2.1067 2022/06/28 01:34:07 - mmengine - INFO - Epoch(train) [29][2220/3757] lr: 1.000e-02 eta: 19:45:15 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 5.9959 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2317 loss: 2.2317 2022/06/28 01:34:12 - mmengine - INFO - Epoch(train) [29][2240/3757] lr: 1.000e-02 eta: 19:45:10 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 6.4145 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9669 loss: 1.9669 2022/06/28 01:34:17 - mmengine - INFO - Epoch(train) [29][2260/3757] lr: 1.000e-02 eta: 19:45:04 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 5.6986 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9933 loss: 1.9933 2022/06/28 01:34:23 - mmengine - INFO - Epoch(train) [29][2280/3757] lr: 1.000e-02 eta: 19:45:00 time: 0.197 data_time: 0.009 memory: 5148 grad_norm: 5.8544 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3584 loss: 2.3584 2022/06/28 01:34:28 - mmengine - INFO - Epoch(train) [29][2300/3757] lr: 1.000e-02 eta: 19:44:54 time: 0.205 data_time: 0.018 memory: 5148 grad_norm: 6.1483 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2283 loss: 2.2283 2022/06/28 01:34:34 - mmengine - INFO - Epoch(train) [29][2320/3757] lr: 1.000e-02 eta: 19:44:50 time: 0.203 data_time: 0.018 memory: 5148 grad_norm: 5.0775 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5759 loss: 1.5759 2022/06/28 01:34:39 - mmengine - INFO - Epoch(train) [29][2340/3757] lr: 1.000e-02 eta: 19:44:45 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 5.4615 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3715 loss: 2.3715 2022/06/28 01:34:44 - mmengine - INFO - Epoch(train) [29][2360/3757] lr: 1.000e-02 eta: 19:44:39 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 5.9124 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1724 loss: 2.1724 2022/06/28 01:34:49 - mmengine - INFO - Epoch(train) [29][2380/3757] lr: 1.000e-02 eta: 19:44:33 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 6.6800 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0333 loss: 2.0333 2022/06/28 01:34:55 - mmengine - INFO - Epoch(train) [29][2400/3757] lr: 1.000e-02 eta: 19:44:28 time: 0.205 data_time: 0.012 memory: 5148 grad_norm: 5.2569 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0501 loss: 2.0501 2022/06/28 01:35:00 - mmengine - INFO - Epoch(train) [29][2420/3757] lr: 1.000e-02 eta: 19:44:23 time: 0.208 data_time: 0.006 memory: 5148 grad_norm: 5.1233 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5196 loss: 2.5196 2022/06/28 01:35:06 - mmengine - INFO - Epoch(train) [29][2440/3757] lr: 1.000e-02 eta: 19:44:18 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 5.7125 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9283 loss: 1.9283 2022/06/28 01:35:11 - mmengine - INFO - Epoch(train) [29][2460/3757] lr: 1.000e-02 eta: 19:44:13 time: 0.209 data_time: 0.010 memory: 5148 grad_norm: 5.8586 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9066 loss: 1.9066 2022/06/28 01:35:17 - mmengine - INFO - Epoch(train) [29][2480/3757] lr: 1.000e-02 eta: 19:44:09 time: 0.208 data_time: 0.006 memory: 5148 grad_norm: 5.7094 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8887 loss: 1.8887 2022/06/28 01:35:22 - mmengine - INFO - Epoch(train) [29][2500/3757] lr: 1.000e-02 eta: 19:44:02 time: 0.193 data_time: 0.014 memory: 5148 grad_norm: 4.7286 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0761 loss: 2.0761 2022/06/28 01:35:28 - mmengine - INFO - Epoch(train) [29][2520/3757] lr: 1.000e-02 eta: 19:43:59 time: 0.204 data_time: 0.013 memory: 5148 grad_norm: 5.9598 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4991 loss: 2.4991 2022/06/28 01:35:33 - mmengine - INFO - Epoch(train) [29][2540/3757] lr: 1.000e-02 eta: 19:43:54 time: 0.195 data_time: 0.015 memory: 5148 grad_norm: 5.9314 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1746 loss: 2.1746 2022/06/28 01:35:38 - mmengine - INFO - Epoch(train) [29][2560/3757] lr: 1.000e-02 eta: 19:43:46 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 4.5596 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7645 loss: 1.7645 2022/06/28 01:35:43 - mmengine - INFO - Epoch(train) [29][2580/3757] lr: 1.000e-02 eta: 19:43:42 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.5951 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9783 loss: 1.9783 2022/06/28 01:35:48 - mmengine - INFO - Epoch(train) [29][2600/3757] lr: 1.000e-02 eta: 19:43:35 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 6.1499 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7744 loss: 1.7744 2022/06/28 01:35:53 - mmengine - INFO - Epoch(train) [29][2620/3757] lr: 1.000e-02 eta: 19:43:30 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 5.5965 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.2625 loss: 2.2625 2022/06/28 01:35:59 - mmengine - INFO - Epoch(train) [29][2640/3757] lr: 1.000e-02 eta: 19:43:25 time: 0.340 data_time: 0.125 memory: 5148 grad_norm: 4.8878 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1888 loss: 2.1888 2022/06/28 01:36:04 - mmengine - INFO - Epoch(train) [29][2660/3757] lr: 1.000e-02 eta: 19:43:19 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 6.1619 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1362 loss: 2.1362 2022/06/28 01:36:09 - mmengine - INFO - Epoch(train) [29][2680/3757] lr: 1.000e-02 eta: 19:43:14 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 6.0403 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2462 loss: 2.2462 2022/06/28 01:36:15 - mmengine - INFO - Epoch(train) [29][2700/3757] lr: 1.000e-02 eta: 19:43:09 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 6.1209 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8115 loss: 1.8115 2022/06/28 01:36:20 - mmengine - INFO - Epoch(train) [29][2720/3757] lr: 1.000e-02 eta: 19:43:03 time: 0.208 data_time: 0.011 memory: 5148 grad_norm: 5.5816 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8276 loss: 1.8276 2022/06/28 01:36:25 - mmengine - INFO - Epoch(train) [29][2740/3757] lr: 1.000e-02 eta: 19:42:58 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.5554 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6135 loss: 1.6135 2022/06/28 01:36:31 - mmengine - INFO - Epoch(train) [29][2760/3757] lr: 1.000e-02 eta: 19:42:54 time: 0.194 data_time: 0.006 memory: 5148 grad_norm: 5.8305 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.3216 loss: 2.3216 2022/06/28 01:36:36 - mmengine - INFO - Epoch(train) [29][2780/3757] lr: 1.000e-02 eta: 19:42:49 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.2895 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9311 loss: 1.9311 2022/06/28 01:36:42 - mmengine - INFO - Epoch(train) [29][2800/3757] lr: 1.000e-02 eta: 19:42:43 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 5.3277 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9061 loss: 1.9061 2022/06/28 01:36:43 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 01:36:47 - mmengine - INFO - Epoch(train) [29][2820/3757] lr: 1.000e-02 eta: 19:42:39 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 5.1720 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6768 loss: 2.6768 2022/06/28 01:36:53 - mmengine - INFO - Epoch(train) [29][2840/3757] lr: 1.000e-02 eta: 19:42:34 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 6.0615 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9721 loss: 1.9721 2022/06/28 01:36:58 - mmengine - INFO - Epoch(train) [29][2860/3757] lr: 1.000e-02 eta: 19:42:28 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.3590 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8121 loss: 1.8121 2022/06/28 01:37:03 - mmengine - INFO - Epoch(train) [29][2880/3757] lr: 1.000e-02 eta: 19:42:23 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 6.3672 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1735 loss: 2.1735 2022/06/28 01:37:09 - mmengine - INFO - Epoch(train) [29][2900/3757] lr: 1.000e-02 eta: 19:42:18 time: 0.195 data_time: 0.006 memory: 5148 grad_norm: 6.1859 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8550 loss: 1.8550 2022/06/28 01:37:14 - mmengine - INFO - Epoch(train) [29][2920/3757] lr: 1.000e-02 eta: 19:42:12 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.2133 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2126 loss: 2.2126 2022/06/28 01:37:20 - mmengine - INFO - Epoch(train) [29][2940/3757] lr: 1.000e-02 eta: 19:42:08 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.3378 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4390 loss: 2.4390 2022/06/28 01:37:25 - mmengine - INFO - Epoch(train) [29][2960/3757] lr: 1.000e-02 eta: 19:42:02 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.5293 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9609 loss: 1.9609 2022/06/28 01:37:30 - mmengine - INFO - Epoch(train) [29][2980/3757] lr: 1.000e-02 eta: 19:41:58 time: 0.202 data_time: 0.009 memory: 5148 grad_norm: 4.6739 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0937 loss: 2.0937 2022/06/28 01:37:36 - mmengine - INFO - Epoch(train) [29][3000/3757] lr: 1.000e-02 eta: 19:41:54 time: 0.196 data_time: 0.012 memory: 5148 grad_norm: 6.0153 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9329 loss: 1.9329 2022/06/28 01:37:42 - mmengine - INFO - Epoch(train) [29][3020/3757] lr: 1.000e-02 eta: 19:41:49 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 5.8168 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7037 loss: 1.7037 2022/06/28 01:37:46 - mmengine - INFO - Epoch(train) [29][3040/3757] lr: 1.000e-02 eta: 19:41:40 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 4.7046 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0725 loss: 2.0725 2022/06/28 01:37:51 - mmengine - INFO - Epoch(train) [29][3060/3757] lr: 1.000e-02 eta: 19:41:36 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 5.7709 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8485 loss: 1.8485 2022/06/28 01:37:56 - mmengine - INFO - Epoch(train) [29][3080/3757] lr: 1.000e-02 eta: 19:41:30 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 5.2804 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0344 loss: 2.0344 2022/06/28 01:38:02 - mmengine - INFO - Epoch(train) [29][3100/3757] lr: 1.000e-02 eta: 19:41:25 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 5.6183 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2961 loss: 2.2961 2022/06/28 01:38:07 - mmengine - INFO - Epoch(train) [29][3120/3757] lr: 1.000e-02 eta: 19:41:20 time: 0.196 data_time: 0.006 memory: 5148 grad_norm: 6.0821 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9786 loss: 1.9786 2022/06/28 01:38:12 - mmengine - INFO - Epoch(train) [29][3140/3757] lr: 1.000e-02 eta: 19:41:14 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 4.9977 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2965 loss: 2.2965 2022/06/28 01:38:18 - mmengine - INFO - Epoch(train) [29][3160/3757] lr: 1.000e-02 eta: 19:41:10 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 6.4059 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0964 loss: 2.0964 2022/06/28 01:38:23 - mmengine - INFO - Epoch(train) [29][3180/3757] lr: 1.000e-02 eta: 19:41:04 time: 0.207 data_time: 0.009 memory: 5148 grad_norm: 5.0770 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2785 loss: 2.2785 2022/06/28 01:38:28 - mmengine - INFO - Epoch(train) [29][3200/3757] lr: 1.000e-02 eta: 19:40:58 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 5.5891 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8023 loss: 1.8023 2022/06/28 01:38:34 - mmengine - INFO - Epoch(train) [29][3220/3757] lr: 1.000e-02 eta: 19:40:53 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.4215 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3088 loss: 2.3088 2022/06/28 01:38:40 - mmengine - INFO - Epoch(train) [29][3240/3757] lr: 1.000e-02 eta: 19:40:49 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 5.0743 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.7914 loss: 1.7914 2022/06/28 01:38:44 - mmengine - INFO - Epoch(train) [29][3260/3757] lr: 1.000e-02 eta: 19:40:43 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 5.4757 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9972 loss: 1.9972 2022/06/28 01:38:50 - mmengine - INFO - Epoch(train) [29][3280/3757] lr: 1.000e-02 eta: 19:40:38 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 5.2691 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9175 loss: 1.9175 2022/06/28 01:38:55 - mmengine - INFO - Epoch(train) [29][3300/3757] lr: 1.000e-02 eta: 19:40:33 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 6.1733 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8971 loss: 1.8971 2022/06/28 01:39:01 - mmengine - INFO - Epoch(train) [29][3320/3757] lr: 1.000e-02 eta: 19:40:28 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 6.0496 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7192 loss: 1.7192 2022/06/28 01:39:06 - mmengine - INFO - Epoch(train) [29][3340/3757] lr: 1.000e-02 eta: 19:40:22 time: 0.195 data_time: 0.006 memory: 5148 grad_norm: 6.7920 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7105 loss: 1.7105 2022/06/28 01:39:11 - mmengine - INFO - Epoch(train) [29][3360/3757] lr: 1.000e-02 eta: 19:40:17 time: 0.194 data_time: 0.006 memory: 5148 grad_norm: 5.0258 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9995 loss: 1.9995 2022/06/28 01:39:16 - mmengine - INFO - Epoch(train) [29][3380/3757] lr: 1.000e-02 eta: 19:40:11 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.5665 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0473 loss: 2.0473 2022/06/28 01:39:22 - mmengine - INFO - Epoch(train) [29][3400/3757] lr: 1.000e-02 eta: 19:40:07 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.6709 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9219 loss: 1.9219 2022/06/28 01:39:27 - mmengine - INFO - Epoch(train) [29][3420/3757] lr: 1.000e-02 eta: 19:40:00 time: 0.191 data_time: 0.011 memory: 5148 grad_norm: 5.8661 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2874 loss: 2.2874 2022/06/28 01:39:32 - mmengine - INFO - Epoch(train) [29][3440/3757] lr: 1.000e-02 eta: 19:39:55 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 5.9140 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2543 loss: 2.2543 2022/06/28 01:39:37 - mmengine - INFO - Epoch(train) [29][3460/3757] lr: 1.000e-02 eta: 19:39:49 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 5.9687 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1622 loss: 2.1622 2022/06/28 01:39:43 - mmengine - INFO - Epoch(train) [29][3480/3757] lr: 1.000e-02 eta: 19:39:44 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.5020 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9132 loss: 1.9132 2022/06/28 01:39:48 - mmengine - INFO - Epoch(train) [29][3500/3757] lr: 1.000e-02 eta: 19:39:39 time: 0.194 data_time: 0.011 memory: 5148 grad_norm: 6.0864 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8286 loss: 1.8286 2022/06/28 01:39:54 - mmengine - INFO - Epoch(train) [29][3520/3757] lr: 1.000e-02 eta: 19:39:35 time: 0.219 data_time: 0.007 memory: 5148 grad_norm: 6.2467 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9303 loss: 1.9303 2022/06/28 01:40:00 - mmengine - INFO - Epoch(train) [29][3540/3757] lr: 1.000e-02 eta: 19:39:31 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.4163 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0771 loss: 2.0771 2022/06/28 01:40:04 - mmengine - INFO - Epoch(train) [29][3560/3757] lr: 1.000e-02 eta: 19:39:24 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 5.5832 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4379 loss: 2.4379 2022/06/28 01:40:11 - mmengine - INFO - Epoch(train) [29][3580/3757] lr: 1.000e-02 eta: 19:39:21 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 6.5757 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8253 loss: 1.8253 2022/06/28 01:40:16 - mmengine - INFO - Epoch(train) [29][3600/3757] lr: 1.000e-02 eta: 19:39:16 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 5.1502 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0575 loss: 2.0575 2022/06/28 01:40:20 - mmengine - INFO - Epoch(train) [29][3620/3757] lr: 1.000e-02 eta: 19:39:08 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 6.0828 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1397 loss: 2.1397 2022/06/28 01:40:26 - mmengine - INFO - Epoch(train) [29][3640/3757] lr: 1.000e-02 eta: 19:39:03 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.3472 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4997 loss: 2.4997 2022/06/28 01:40:31 - mmengine - INFO - Epoch(train) [29][3660/3757] lr: 1.000e-02 eta: 19:38:59 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.5717 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4910 loss: 2.4910 2022/06/28 01:40:36 - mmengine - INFO - Epoch(train) [29][3680/3757] lr: 1.000e-02 eta: 19:38:52 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 5.0043 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0503 loss: 2.0503 2022/06/28 01:40:41 - mmengine - INFO - Epoch(train) [29][3700/3757] lr: 1.000e-02 eta: 19:38:47 time: 0.192 data_time: 0.014 memory: 5148 grad_norm: 5.6898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3624 loss: 2.3624 2022/06/28 01:40:47 - mmengine - INFO - Epoch(train) [29][3720/3757] lr: 1.000e-02 eta: 19:38:43 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 5.7520 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3875 loss: 2.3875 2022/06/28 01:40:52 - mmengine - INFO - Epoch(train) [29][3740/3757] lr: 1.000e-02 eta: 19:38:37 time: 0.194 data_time: 0.009 memory: 5148 grad_norm: 5.4005 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1245 loss: 2.1245 2022/06/28 01:40:56 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 01:41:02 - mmengine - INFO - Epoch(val) [29][20/310] eta: 0:01:07 time: 0.079 data_time: 0.008 memory: 5148 2022/06/28 01:41:07 - mmengine - INFO - Epoch(val) [29][40/310] eta: 0:00:58 time: 0.081 data_time: 0.008 memory: 1367 2022/06/28 01:41:13 - mmengine - INFO - Epoch(val) [29][60/310] eta: 0:00:57 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 01:41:18 - mmengine - INFO - Epoch(val) [29][80/310] eta: 0:01:03 time: 0.348 data_time: 0.277 memory: 1367 2022/06/28 01:41:24 - mmengine - INFO - Epoch(val) [29][100/310] eta: 0:00:49 time: 0.088 data_time: 0.005 memory: 1367 2022/06/28 01:41:28 - mmengine - INFO - Epoch(val) [29][120/310] eta: 0:00:44 time: 0.082 data_time: 0.009 memory: 1367 2022/06/28 01:41:34 - mmengine - INFO - Epoch(val) [29][140/310] eta: 0:00:40 time: 0.091 data_time: 0.009 memory: 1367 2022/06/28 01:41:39 - mmengine - INFO - Epoch(val) [29][160/310] eta: 0:00:42 time: 0.626 data_time: 0.543 memory: 1367 2022/06/28 01:41:45 - mmengine - INFO - Epoch(val) [29][180/310] eta: 0:00:34 time: 0.240 data_time: 0.163 memory: 1367 2022/06/28 01:41:50 - mmengine - INFO - Epoch(val) [29][200/310] eta: 0:00:29 time: 0.316 data_time: 0.239 memory: 1367 2022/06/28 01:41:55 - mmengine - INFO - Epoch(val) [29][220/310] eta: 0:00:26 time: 0.367 data_time: 0.296 memory: 1367 2022/06/28 01:42:00 - mmengine - INFO - Epoch(val) [29][240/310] eta: 0:00:15 time: 0.089 data_time: 0.012 memory: 1367 2022/06/28 01:42:06 - mmengine - INFO - Epoch(val) [29][260/310] eta: 0:00:14 time: 0.102 data_time: 0.032 memory: 1367 2022/06/28 01:42:11 - mmengine - INFO - Epoch(val) [29][280/310] eta: 0:00:06 time: 0.085 data_time: 0.008 memory: 1367 2022/06/28 01:42:16 - mmengine - INFO - Epoch(val) [29][300/310] eta: 0:00:03 time: 0.430 data_time: 0.359 memory: 1367 2022/06/28 01:42:19 - mmengine - INFO - Epoch(val) [29][310/310] acc/top1: 0.5553 acc/top5: 0.7937 acc/mean1: 0.5551 2022/06/28 01:42:28 - mmengine - INFO - Epoch(train) [30][20/3757] lr: 1.000e-02 eta: 19:38:28 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 5.3343 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2743 loss: 2.2743 2022/06/28 01:42:33 - mmengine - INFO - Epoch(train) [30][40/3757] lr: 1.000e-02 eta: 19:38:24 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 5.6335 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1670 loss: 2.1670 2022/06/28 01:42:35 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 01:42:38 - mmengine - INFO - Epoch(train) [30][60/3757] lr: 1.000e-02 eta: 19:38:18 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 6.1668 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1573 loss: 2.1573 2022/06/28 01:42:44 - mmengine - INFO - Epoch(train) [30][80/3757] lr: 1.000e-02 eta: 19:38:14 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.4235 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2553 loss: 2.2553 2022/06/28 01:42:50 - mmengine - INFO - Epoch(train) [30][100/3757] lr: 1.000e-02 eta: 19:38:10 time: 0.196 data_time: 0.013 memory: 5148 grad_norm: 5.2989 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6163 loss: 1.6163 2022/06/28 01:42:55 - mmengine - INFO - Epoch(train) [30][120/3757] lr: 1.000e-02 eta: 19:38:04 time: 0.189 data_time: 0.010 memory: 5148 grad_norm: 5.1919 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6761 loss: 1.6761 2022/06/28 01:43:00 - mmengine - INFO - Epoch(train) [30][140/3757] lr: 1.000e-02 eta: 19:37:58 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 5.1865 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7855 loss: 1.7855 2022/06/28 01:43:06 - mmengine - INFO - Epoch(train) [30][160/3757] lr: 1.000e-02 eta: 19:37:54 time: 0.215 data_time: 0.031 memory: 5148 grad_norm: 6.1900 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 1.8871 loss: 1.8871 2022/06/28 01:43:11 - mmengine - INFO - Epoch(train) [30][180/3757] lr: 1.000e-02 eta: 19:37:47 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 5.3615 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9897 loss: 1.9897 2022/06/28 01:43:16 - mmengine - INFO - Epoch(train) [30][200/3757] lr: 1.000e-02 eta: 19:37:42 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 5.0285 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0903 loss: 2.0903 2022/06/28 01:43:22 - mmengine - INFO - Epoch(train) [30][220/3757] lr: 1.000e-02 eta: 19:37:38 time: 0.199 data_time: 0.022 memory: 5148 grad_norm: 5.9129 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9545 loss: 1.9545 2022/06/28 01:43:27 - mmengine - INFO - Epoch(train) [30][240/3757] lr: 1.000e-02 eta: 19:37:32 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 6.0501 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3079 loss: 2.3079 2022/06/28 01:43:33 - mmengine - INFO - Epoch(train) [30][260/3757] lr: 1.000e-02 eta: 19:37:27 time: 0.195 data_time: 0.013 memory: 5148 grad_norm: 6.3567 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5332 loss: 2.5332 2022/06/28 01:43:39 - mmengine - INFO - Epoch(train) [30][280/3757] lr: 1.000e-02 eta: 19:37:24 time: 0.192 data_time: 0.013 memory: 5148 grad_norm: 6.1062 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9583 loss: 1.9583 2022/06/28 01:43:44 - mmengine - INFO - Epoch(train) [30][300/3757] lr: 1.000e-02 eta: 19:37:18 time: 0.196 data_time: 0.009 memory: 5148 grad_norm: 5.3017 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0421 loss: 2.0421 2022/06/28 01:43:49 - mmengine - INFO - Epoch(train) [30][320/3757] lr: 1.000e-02 eta: 19:37:13 time: 0.193 data_time: 0.013 memory: 5148 grad_norm: 5.7855 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3546 loss: 2.3546 2022/06/28 01:43:55 - mmengine - INFO - Epoch(train) [30][340/3757] lr: 1.000e-02 eta: 19:37:08 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 4.9813 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0622 loss: 2.0622 2022/06/28 01:44:00 - mmengine - INFO - Epoch(train) [30][360/3757] lr: 1.000e-02 eta: 19:37:02 time: 0.218 data_time: 0.032 memory: 5148 grad_norm: 5.6179 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9244 loss: 1.9244 2022/06/28 01:44:05 - mmengine - INFO - Epoch(train) [30][380/3757] lr: 1.000e-02 eta: 19:36:57 time: 0.192 data_time: 0.008 memory: 5148 grad_norm: 5.5566 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7515 loss: 1.7515 2022/06/28 01:44:11 - mmengine - INFO - Epoch(train) [30][400/3757] lr: 1.000e-02 eta: 19:36:52 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.3634 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9806 loss: 1.9806 2022/06/28 01:44:16 - mmengine - INFO - Epoch(train) [30][420/3757] lr: 1.000e-02 eta: 19:36:47 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 6.0550 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8446 loss: 1.8446 2022/06/28 01:44:22 - mmengine - INFO - Epoch(train) [30][440/3757] lr: 1.000e-02 eta: 19:36:43 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 5.5559 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1369 loss: 2.1369 2022/06/28 01:44:26 - mmengine - INFO - Epoch(train) [30][460/3757] lr: 1.000e-02 eta: 19:36:35 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.8184 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7357 loss: 1.7357 2022/06/28 01:44:30 - mmengine - INFO - Epoch(train) [30][480/3757] lr: 1.000e-02 eta: 19:36:27 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 6.8019 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0556 loss: 2.0556 2022/06/28 01:44:36 - mmengine - INFO - Epoch(train) [30][500/3757] lr: 1.000e-02 eta: 19:36:24 time: 0.198 data_time: 0.018 memory: 5148 grad_norm: 5.4435 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2121 loss: 2.2121 2022/06/28 01:44:42 - mmengine - INFO - Epoch(train) [30][520/3757] lr: 1.000e-02 eta: 19:36:19 time: 0.194 data_time: 0.011 memory: 5148 grad_norm: 5.3133 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1081 loss: 2.1081 2022/06/28 01:44:47 - mmengine - INFO - Epoch(train) [30][540/3757] lr: 1.000e-02 eta: 19:36:14 time: 0.202 data_time: 0.013 memory: 5148 grad_norm: 5.0807 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4175 loss: 2.4175 2022/06/28 01:44:52 - mmengine - INFO - Epoch(train) [30][560/3757] lr: 1.000e-02 eta: 19:36:08 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 5.4760 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2276 loss: 2.2276 2022/06/28 01:44:58 - mmengine - INFO - Epoch(train) [30][580/3757] lr: 1.000e-02 eta: 19:36:04 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.2225 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3914 loss: 2.3914 2022/06/28 01:45:03 - mmengine - INFO - Epoch(train) [30][600/3757] lr: 1.000e-02 eta: 19:35:57 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 5.9960 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0264 loss: 2.0264 2022/06/28 01:45:08 - mmengine - INFO - Epoch(train) [30][620/3757] lr: 1.000e-02 eta: 19:35:53 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.9136 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8366 loss: 1.8366 2022/06/28 01:45:14 - mmengine - INFO - Epoch(train) [30][640/3757] lr: 1.000e-02 eta: 19:35:47 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 5.8010 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8405 loss: 1.8405 2022/06/28 01:45:20 - mmengine - INFO - Epoch(train) [30][660/3757] lr: 1.000e-02 eta: 19:35:45 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 4.5197 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2468 loss: 2.2468 2022/06/28 01:45:24 - mmengine - INFO - Epoch(train) [30][680/3757] lr: 1.000e-02 eta: 19:35:37 time: 0.200 data_time: 0.019 memory: 5148 grad_norm: 5.2527 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1565 loss: 2.1565 2022/06/28 01:45:30 - mmengine - INFO - Epoch(train) [30][700/3757] lr: 1.000e-02 eta: 19:35:33 time: 0.199 data_time: 0.015 memory: 5148 grad_norm: 5.3873 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0138 loss: 2.0138 2022/06/28 01:45:36 - mmengine - INFO - Epoch(train) [30][720/3757] lr: 1.000e-02 eta: 19:35:28 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.0493 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3929 loss: 2.3929 2022/06/28 01:45:41 - mmengine - INFO - Epoch(train) [30][740/3757] lr: 1.000e-02 eta: 19:35:22 time: 0.200 data_time: 0.020 memory: 5148 grad_norm: 6.0811 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1165 loss: 2.1165 2022/06/28 01:45:46 - mmengine - INFO - Epoch(train) [30][760/3757] lr: 1.000e-02 eta: 19:35:16 time: 0.197 data_time: 0.014 memory: 5148 grad_norm: 6.0418 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9728 loss: 1.9728 2022/06/28 01:45:51 - mmengine - INFO - Epoch(train) [30][780/3757] lr: 1.000e-02 eta: 19:35:11 time: 0.193 data_time: 0.008 memory: 5148 grad_norm: 5.7791 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.9554 loss: 1.9554 2022/06/28 01:45:57 - mmengine - INFO - Epoch(train) [30][800/3757] lr: 1.000e-02 eta: 19:35:06 time: 0.208 data_time: 0.012 memory: 5148 grad_norm: 5.5040 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8197 loss: 1.8197 2022/06/28 01:46:02 - mmengine - INFO - Epoch(train) [30][820/3757] lr: 1.000e-02 eta: 19:35:00 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 5.7492 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0663 loss: 2.0663 2022/06/28 01:46:07 - mmengine - INFO - Epoch(train) [30][840/3757] lr: 1.000e-02 eta: 19:34:55 time: 0.194 data_time: 0.011 memory: 5148 grad_norm: 6.3777 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0851 loss: 2.0851 2022/06/28 01:46:13 - mmengine - INFO - Epoch(train) [30][860/3757] lr: 1.000e-02 eta: 19:34:51 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.4797 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8888 loss: 1.8888 2022/06/28 01:46:18 - mmengine - INFO - Epoch(train) [30][880/3757] lr: 1.000e-02 eta: 19:34:45 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 5.1116 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8530 loss: 1.8530 2022/06/28 01:46:23 - mmengine - INFO - Epoch(train) [30][900/3757] lr: 1.000e-02 eta: 19:34:40 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 5.5301 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3605 loss: 2.3605 2022/06/28 01:46:29 - mmengine - INFO - Epoch(train) [30][920/3757] lr: 1.000e-02 eta: 19:34:35 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 5.6487 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1969 loss: 2.1969 2022/06/28 01:46:34 - mmengine - INFO - Epoch(train) [30][940/3757] lr: 1.000e-02 eta: 19:34:30 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 5.1074 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2327 loss: 2.2327 2022/06/28 01:46:40 - mmengine - INFO - Epoch(train) [30][960/3757] lr: 1.000e-02 eta: 19:34:25 time: 0.203 data_time: 0.023 memory: 5148 grad_norm: 5.2217 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7591 loss: 1.7591 2022/06/28 01:46:45 - mmengine - INFO - Epoch(train) [30][980/3757] lr: 1.000e-02 eta: 19:34:19 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 6.0083 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0552 loss: 2.0552 2022/06/28 01:46:51 - mmengine - INFO - Epoch(train) [30][1000/3757] lr: 1.000e-02 eta: 19:34:16 time: 0.197 data_time: 0.014 memory: 5148 grad_norm: 5.7407 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0598 loss: 2.0598 2022/06/28 01:46:55 - mmengine - INFO - Epoch(train) [30][1020/3757] lr: 1.000e-02 eta: 19:34:09 time: 0.372 data_time: 0.007 memory: 5148 grad_norm: 6.0968 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5799 loss: 1.5799 2022/06/28 01:47:01 - mmengine - INFO - Epoch(train) [30][1040/3757] lr: 1.000e-02 eta: 19:34:05 time: 0.208 data_time: 0.010 memory: 5148 grad_norm: 5.4531 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9513 loss: 1.9513 2022/06/28 01:47:03 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 01:47:07 - mmengine - INFO - Epoch(train) [30][1060/3757] lr: 1.000e-02 eta: 19:33:59 time: 0.715 data_time: 0.025 memory: 5148 grad_norm: 5.7236 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7551 loss: 1.7551 2022/06/28 01:47:12 - mmengine - INFO - Epoch(train) [30][1080/3757] lr: 1.000e-02 eta: 19:33:55 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 5.7887 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1073 loss: 2.1073 2022/06/28 01:47:17 - mmengine - INFO - Epoch(train) [30][1100/3757] lr: 1.000e-02 eta: 19:33:48 time: 0.208 data_time: 0.012 memory: 5148 grad_norm: 5.7549 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1659 loss: 2.1659 2022/06/28 01:47:22 - mmengine - INFO - Epoch(train) [30][1120/3757] lr: 1.000e-02 eta: 19:33:43 time: 0.218 data_time: 0.007 memory: 5148 grad_norm: 5.7122 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0267 loss: 2.0267 2022/06/28 01:47:28 - mmengine - INFO - Epoch(train) [30][1140/3757] lr: 1.000e-02 eta: 19:33:37 time: 0.213 data_time: 0.006 memory: 5148 grad_norm: 5.3346 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0653 loss: 2.0653 2022/06/28 01:47:33 - mmengine - INFO - Epoch(train) [30][1160/3757] lr: 1.000e-02 eta: 19:33:32 time: 0.204 data_time: 0.019 memory: 5148 grad_norm: 5.8288 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0750 loss: 2.0750 2022/06/28 01:47:38 - mmengine - INFO - Epoch(train) [30][1180/3757] lr: 1.000e-02 eta: 19:33:27 time: 0.223 data_time: 0.011 memory: 5148 grad_norm: 6.0386 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8051 loss: 1.8051 2022/06/28 01:47:44 - mmengine - INFO - Epoch(train) [30][1200/3757] lr: 1.000e-02 eta: 19:33:22 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 5.6198 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2745 loss: 2.2745 2022/06/28 01:47:48 - mmengine - INFO - Epoch(train) [30][1220/3757] lr: 1.000e-02 eta: 19:33:15 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 6.1166 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6401 loss: 1.6401 2022/06/28 01:47:53 - mmengine - INFO - Epoch(train) [30][1240/3757] lr: 1.000e-02 eta: 19:33:08 time: 0.214 data_time: 0.006 memory: 5148 grad_norm: 5.2044 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9564 loss: 1.9564 2022/06/28 01:47:59 - mmengine - INFO - Epoch(train) [30][1260/3757] lr: 1.000e-02 eta: 19:33:04 time: 0.207 data_time: 0.011 memory: 5148 grad_norm: 6.0530 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1812 loss: 2.1812 2022/06/28 01:48:04 - mmengine - INFO - Epoch(train) [30][1280/3757] lr: 1.000e-02 eta: 19:32:59 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 5.0552 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8275 loss: 1.8275 2022/06/28 01:48:09 - mmengine - INFO - Epoch(train) [30][1300/3757] lr: 1.000e-02 eta: 19:32:53 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 5.3839 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1592 loss: 2.1592 2022/06/28 01:48:15 - mmengine - INFO - Epoch(train) [30][1320/3757] lr: 1.000e-02 eta: 19:32:48 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 6.0062 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8606 loss: 1.8606 2022/06/28 01:48:20 - mmengine - INFO - Epoch(train) [30][1340/3757] lr: 1.000e-02 eta: 19:32:44 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 5.4790 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0359 loss: 2.0359 2022/06/28 01:48:26 - mmengine - INFO - Epoch(train) [30][1360/3757] lr: 1.000e-02 eta: 19:32:39 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 5.1252 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3790 loss: 2.3790 2022/06/28 01:48:31 - mmengine - INFO - Epoch(train) [30][1380/3757] lr: 1.000e-02 eta: 19:32:33 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.9456 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0985 loss: 2.0985 2022/06/28 01:48:37 - mmengine - INFO - Epoch(train) [30][1400/3757] lr: 1.000e-02 eta: 19:32:28 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 6.0099 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9475 loss: 1.9475 2022/06/28 01:48:42 - mmengine - INFO - Epoch(train) [30][1420/3757] lr: 1.000e-02 eta: 19:32:24 time: 0.244 data_time: 0.006 memory: 5148 grad_norm: 4.9066 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1919 loss: 2.1919 2022/06/28 01:48:47 - mmengine - INFO - Epoch(train) [30][1440/3757] lr: 1.000e-02 eta: 19:32:17 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.8680 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.2357 loss: 2.2357 2022/06/28 01:48:52 - mmengine - INFO - Epoch(train) [30][1460/3757] lr: 1.000e-02 eta: 19:32:12 time: 0.298 data_time: 0.007 memory: 5148 grad_norm: 5.8297 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2182 loss: 2.2182 2022/06/28 01:48:57 - mmengine - INFO - Epoch(train) [30][1480/3757] lr: 1.000e-02 eta: 19:32:06 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 6.0916 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0675 loss: 2.0675 2022/06/28 01:49:03 - mmengine - INFO - Epoch(train) [30][1500/3757] lr: 1.000e-02 eta: 19:32:02 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 5.1420 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8665 loss: 1.8665 2022/06/28 01:49:09 - mmengine - INFO - Epoch(train) [30][1520/3757] lr: 1.000e-02 eta: 19:31:57 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 4.8947 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0690 loss: 2.0690 2022/06/28 01:49:14 - mmengine - INFO - Epoch(train) [30][1540/3757] lr: 1.000e-02 eta: 19:31:52 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 5.3349 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.0781 loss: 2.0781 2022/06/28 01:49:19 - mmengine - INFO - Epoch(train) [30][1560/3757] lr: 1.000e-02 eta: 19:31:46 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 5.0664 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3295 loss: 2.3295 2022/06/28 01:49:25 - mmengine - INFO - Epoch(train) [30][1580/3757] lr: 1.000e-02 eta: 19:31:41 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 5.2341 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0437 loss: 2.0437 2022/06/28 01:49:30 - mmengine - INFO - Epoch(train) [30][1600/3757] lr: 1.000e-02 eta: 19:31:37 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 6.2118 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1340 loss: 2.1340 2022/06/28 01:49:35 - mmengine - INFO - Epoch(train) [30][1620/3757] lr: 1.000e-02 eta: 19:31:30 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 4.6916 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1211 loss: 2.1211 2022/06/28 01:49:41 - mmengine - INFO - Epoch(train) [30][1640/3757] lr: 1.000e-02 eta: 19:31:26 time: 0.229 data_time: 0.007 memory: 5148 grad_norm: 6.2681 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6477 loss: 1.6477 2022/06/28 01:49:46 - mmengine - INFO - Epoch(train) [30][1660/3757] lr: 1.000e-02 eta: 19:31:20 time: 0.580 data_time: 0.007 memory: 5148 grad_norm: 5.1434 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9778 loss: 1.9778 2022/06/28 01:49:51 - mmengine - INFO - Epoch(train) [30][1680/3757] lr: 1.000e-02 eta: 19:31:14 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.4124 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5326 loss: 2.5326 2022/06/28 01:49:57 - mmengine - INFO - Epoch(train) [30][1700/3757] lr: 1.000e-02 eta: 19:31:10 time: 0.230 data_time: 0.013 memory: 5148 grad_norm: 5.8238 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9651 loss: 1.9651 2022/06/28 01:50:02 - mmengine - INFO - Epoch(train) [30][1720/3757] lr: 1.000e-02 eta: 19:31:05 time: 0.582 data_time: 0.007 memory: 5148 grad_norm: 5.2169 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0107 loss: 2.0107 2022/06/28 01:50:08 - mmengine - INFO - Epoch(train) [30][1740/3757] lr: 1.000e-02 eta: 19:31:00 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 6.0163 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0229 loss: 2.0229 2022/06/28 01:50:13 - mmengine - INFO - Epoch(train) [30][1760/3757] lr: 1.000e-02 eta: 19:30:55 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 5.7572 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5588 loss: 2.5588 2022/06/28 01:50:18 - mmengine - INFO - Epoch(train) [30][1780/3757] lr: 1.000e-02 eta: 19:30:50 time: 0.206 data_time: 0.005 memory: 5148 grad_norm: 5.4615 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3438 loss: 2.3438 2022/06/28 01:50:24 - mmengine - INFO - Epoch(train) [30][1800/3757] lr: 1.000e-02 eta: 19:30:45 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 6.3290 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2347 loss: 2.2347 2022/06/28 01:50:29 - mmengine - INFO - Epoch(train) [30][1820/3757] lr: 1.000e-02 eta: 19:30:40 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 6.3011 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0947 loss: 2.0947 2022/06/28 01:50:34 - mmengine - INFO - Epoch(train) [30][1840/3757] lr: 1.000e-02 eta: 19:30:34 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 5.8221 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8364 loss: 1.8364 2022/06/28 01:50:39 - mmengine - INFO - Epoch(train) [30][1860/3757] lr: 1.000e-02 eta: 19:30:28 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.2831 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1001 loss: 2.1001 2022/06/28 01:50:45 - mmengine - INFO - Epoch(train) [30][1880/3757] lr: 1.000e-02 eta: 19:30:24 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.6476 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9709 loss: 1.9709 2022/06/28 01:50:50 - mmengine - INFO - Epoch(train) [30][1900/3757] lr: 1.000e-02 eta: 19:30:17 time: 0.228 data_time: 0.007 memory: 5148 grad_norm: 4.8097 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1246 loss: 2.1246 2022/06/28 01:50:55 - mmengine - INFO - Epoch(train) [30][1920/3757] lr: 1.000e-02 eta: 19:30:13 time: 0.212 data_time: 0.006 memory: 5148 grad_norm: 6.3647 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1930 loss: 2.1930 2022/06/28 01:51:01 - mmengine - INFO - Epoch(train) [30][1940/3757] lr: 1.000e-02 eta: 19:30:08 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.2644 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0344 loss: 2.0344 2022/06/28 01:51:07 - mmengine - INFO - Epoch(train) [30][1960/3757] lr: 1.000e-02 eta: 19:30:03 time: 0.470 data_time: 0.006 memory: 5148 grad_norm: 6.8871 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0439 loss: 2.0439 2022/06/28 01:51:12 - mmengine - INFO - Epoch(train) [30][1980/3757] lr: 1.000e-02 eta: 19:29:59 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.3167 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9863 loss: 1.9863 2022/06/28 01:51:17 - mmengine - INFO - Epoch(train) [30][2000/3757] lr: 1.000e-02 eta: 19:29:51 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 6.0009 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0865 loss: 2.0865 2022/06/28 01:51:22 - mmengine - INFO - Epoch(train) [30][2020/3757] lr: 1.000e-02 eta: 19:29:47 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 4.8025 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0467 loss: 2.0467 2022/06/28 01:51:28 - mmengine - INFO - Epoch(train) [30][2040/3757] lr: 1.000e-02 eta: 19:29:41 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 5.9656 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1902 loss: 2.1902 2022/06/28 01:51:29 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 01:51:33 - mmengine - INFO - Epoch(train) [30][2060/3757] lr: 1.000e-02 eta: 19:29:36 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 6.2092 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3604 loss: 2.3604 2022/06/28 01:51:38 - mmengine - INFO - Epoch(train) [30][2080/3757] lr: 1.000e-02 eta: 19:29:30 time: 0.821 data_time: 0.011 memory: 5148 grad_norm: 6.3122 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.6880 loss: 2.6880 2022/06/28 01:51:43 - mmengine - INFO - Epoch(train) [30][2100/3757] lr: 1.000e-02 eta: 19:29:25 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.7045 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4520 loss: 2.4520 2022/06/28 01:51:49 - mmengine - INFO - Epoch(train) [30][2120/3757] lr: 1.000e-02 eta: 19:29:19 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 5.3771 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0663 loss: 2.0663 2022/06/28 01:51:54 - mmengine - INFO - Epoch(train) [30][2140/3757] lr: 1.000e-02 eta: 19:29:13 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 5.4862 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0976 loss: 2.0976 2022/06/28 01:51:59 - mmengine - INFO - Epoch(train) [30][2160/3757] lr: 1.000e-02 eta: 19:29:08 time: 0.214 data_time: 0.006 memory: 5148 grad_norm: 5.3732 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7585 loss: 1.7585 2022/06/28 01:52:05 - mmengine - INFO - Epoch(train) [30][2180/3757] lr: 1.000e-02 eta: 19:29:04 time: 0.222 data_time: 0.007 memory: 5148 grad_norm: 5.2646 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3522 loss: 2.3522 2022/06/28 01:52:10 - mmengine - INFO - Epoch(train) [30][2200/3757] lr: 1.000e-02 eta: 19:28:58 time: 0.240 data_time: 0.007 memory: 5148 grad_norm: 5.0654 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2964 loss: 2.2964 2022/06/28 01:52:15 - mmengine - INFO - Epoch(train) [30][2220/3757] lr: 1.000e-02 eta: 19:28:53 time: 0.213 data_time: 0.011 memory: 5148 grad_norm: 5.6168 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1162 loss: 2.1162 2022/06/28 01:52:21 - mmengine - INFO - Epoch(train) [30][2240/3757] lr: 1.000e-02 eta: 19:28:49 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.7820 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2971 loss: 2.2971 2022/06/28 01:52:26 - mmengine - INFO - Epoch(train) [30][2260/3757] lr: 1.000e-02 eta: 19:28:42 time: 0.421 data_time: 0.007 memory: 5148 grad_norm: 5.3779 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9491 loss: 1.9491 2022/06/28 01:52:31 - mmengine - INFO - Epoch(train) [30][2280/3757] lr: 1.000e-02 eta: 19:28:38 time: 0.219 data_time: 0.007 memory: 5148 grad_norm: 5.6731 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2647 loss: 2.2647 2022/06/28 01:52:37 - mmengine - INFO - Epoch(train) [30][2300/3757] lr: 1.000e-02 eta: 19:28:32 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.9274 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8148 loss: 1.8148 2022/06/28 01:52:42 - mmengine - INFO - Epoch(train) [30][2320/3757] lr: 1.000e-02 eta: 19:28:26 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 5.2272 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0048 loss: 2.0048 2022/06/28 01:52:47 - mmengine - INFO - Epoch(train) [30][2340/3757] lr: 1.000e-02 eta: 19:28:22 time: 0.663 data_time: 0.006 memory: 5148 grad_norm: 5.6526 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2022 loss: 2.2022 2022/06/28 01:52:52 - mmengine - INFO - Epoch(train) [30][2360/3757] lr: 1.000e-02 eta: 19:28:16 time: 0.203 data_time: 0.009 memory: 5148 grad_norm: 5.6460 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8650 loss: 1.8650 2022/06/28 01:52:58 - mmengine - INFO - Epoch(train) [30][2380/3757] lr: 1.000e-02 eta: 19:28:10 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 5.2473 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0379 loss: 2.0379 2022/06/28 01:53:03 - mmengine - INFO - Epoch(train) [30][2400/3757] lr: 1.000e-02 eta: 19:28:06 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.6050 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0097 loss: 2.0097 2022/06/28 01:53:09 - mmengine - INFO - Epoch(train) [30][2420/3757] lr: 1.000e-02 eta: 19:28:01 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 6.1489 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.9939 loss: 1.9939 2022/06/28 01:53:14 - mmengine - INFO - Epoch(train) [30][2440/3757] lr: 1.000e-02 eta: 19:27:55 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.3132 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9266 loss: 1.9266 2022/06/28 01:53:20 - mmengine - INFO - Epoch(train) [30][2460/3757] lr: 1.000e-02 eta: 19:27:51 time: 0.208 data_time: 0.011 memory: 5148 grad_norm: 5.6050 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9072 loss: 1.9072 2022/06/28 01:53:25 - mmengine - INFO - Epoch(train) [30][2480/3757] lr: 1.000e-02 eta: 19:27:46 time: 0.203 data_time: 0.015 memory: 5148 grad_norm: 5.6237 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9684 loss: 1.9684 2022/06/28 01:53:29 - mmengine - INFO - Epoch(train) [30][2500/3757] lr: 1.000e-02 eta: 19:27:39 time: 0.201 data_time: 0.005 memory: 5148 grad_norm: 5.7615 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2104 loss: 2.2104 2022/06/28 01:53:35 - mmengine - INFO - Epoch(train) [30][2520/3757] lr: 1.000e-02 eta: 19:27:33 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 5.7034 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9840 loss: 1.9840 2022/06/28 01:53:40 - mmengine - INFO - Epoch(train) [30][2540/3757] lr: 1.000e-02 eta: 19:27:29 time: 0.401 data_time: 0.074 memory: 5148 grad_norm: 5.3659 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4754 loss: 1.4754 2022/06/28 01:53:45 - mmengine - INFO - Epoch(train) [30][2560/3757] lr: 1.000e-02 eta: 19:27:22 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 5.1743 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9473 loss: 1.9473 2022/06/28 01:53:51 - mmengine - INFO - Epoch(train) [30][2580/3757] lr: 1.000e-02 eta: 19:27:18 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.8422 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9839 loss: 1.9839 2022/06/28 01:53:56 - mmengine - INFO - Epoch(train) [30][2600/3757] lr: 1.000e-02 eta: 19:27:12 time: 0.211 data_time: 0.006 memory: 5148 grad_norm: 5.7474 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3308 loss: 2.3308 2022/06/28 01:54:01 - mmengine - INFO - Epoch(train) [30][2620/3757] lr: 1.000e-02 eta: 19:27:07 time: 0.387 data_time: 0.006 memory: 5148 grad_norm: 5.4464 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9435 loss: 1.9435 2022/06/28 01:54:07 - mmengine - INFO - Epoch(train) [30][2640/3757] lr: 1.000e-02 eta: 19:27:02 time: 0.310 data_time: 0.009 memory: 5148 grad_norm: 5.5371 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6436 loss: 1.6436 2022/06/28 01:54:12 - mmengine - INFO - Epoch(train) [30][2660/3757] lr: 1.000e-02 eta: 19:26:56 time: 0.210 data_time: 0.006 memory: 5148 grad_norm: 5.6279 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9072 loss: 1.9072 2022/06/28 01:54:18 - mmengine - INFO - Epoch(train) [30][2680/3757] lr: 1.000e-02 eta: 19:26:52 time: 0.615 data_time: 0.006 memory: 5148 grad_norm: 5.2956 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1347 loss: 2.1347 2022/06/28 01:54:23 - mmengine - INFO - Epoch(train) [30][2700/3757] lr: 1.000e-02 eta: 19:26:46 time: 0.724 data_time: 0.006 memory: 5148 grad_norm: 5.3495 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1161 loss: 2.1161 2022/06/28 01:54:28 - mmengine - INFO - Epoch(train) [30][2720/3757] lr: 1.000e-02 eta: 19:26:41 time: 0.212 data_time: 0.008 memory: 5148 grad_norm: 5.6387 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8805 loss: 1.8805 2022/06/28 01:54:34 - mmengine - INFO - Epoch(train) [30][2740/3757] lr: 1.000e-02 eta: 19:26:36 time: 0.507 data_time: 0.006 memory: 5148 grad_norm: 5.5487 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2631 loss: 2.2631 2022/06/28 01:54:39 - mmengine - INFO - Epoch(train) [30][2760/3757] lr: 1.000e-02 eta: 19:26:31 time: 0.225 data_time: 0.006 memory: 5148 grad_norm: 6.1286 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3271 loss: 2.3271 2022/06/28 01:54:45 - mmengine - INFO - Epoch(train) [30][2780/3757] lr: 1.000e-02 eta: 19:26:26 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 5.7223 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8677 loss: 1.8677 2022/06/28 01:54:50 - mmengine - INFO - Epoch(train) [30][2800/3757] lr: 1.000e-02 eta: 19:26:21 time: 0.379 data_time: 0.009 memory: 5148 grad_norm: 5.0171 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9735 loss: 1.9735 2022/06/28 01:54:55 - mmengine - INFO - Epoch(train) [30][2820/3757] lr: 1.000e-02 eta: 19:26:16 time: 0.209 data_time: 0.010 memory: 5148 grad_norm: 5.1169 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2112 loss: 2.2112 2022/06/28 01:55:01 - mmengine - INFO - Epoch(train) [30][2840/3757] lr: 1.000e-02 eta: 19:26:12 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 5.6318 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1344 loss: 2.1344 2022/06/28 01:55:05 - mmengine - INFO - Epoch(train) [30][2860/3757] lr: 1.000e-02 eta: 19:26:04 time: 0.259 data_time: 0.007 memory: 5148 grad_norm: 6.0404 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.0587 loss: 2.0587 2022/06/28 01:55:11 - mmengine - INFO - Epoch(train) [30][2880/3757] lr: 1.000e-02 eta: 19:26:00 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 6.3225 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8639 loss: 1.8639 2022/06/28 01:55:17 - mmengine - INFO - Epoch(train) [30][2900/3757] lr: 1.000e-02 eta: 19:25:55 time: 0.216 data_time: 0.015 memory: 5148 grad_norm: 7.1770 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1613 loss: 2.1613 2022/06/28 01:55:22 - mmengine - INFO - Epoch(train) [30][2920/3757] lr: 1.000e-02 eta: 19:25:49 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 6.0094 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3442 loss: 2.3442 2022/06/28 01:55:27 - mmengine - INFO - Epoch(train) [30][2940/3757] lr: 1.000e-02 eta: 19:25:43 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 6.1323 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2658 loss: 2.2658 2022/06/28 01:55:32 - mmengine - INFO - Epoch(train) [30][2960/3757] lr: 1.000e-02 eta: 19:25:38 time: 0.204 data_time: 0.026 memory: 5148 grad_norm: 5.3572 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0281 loss: 2.0281 2022/06/28 01:55:37 - mmengine - INFO - Epoch(train) [30][2980/3757] lr: 1.000e-02 eta: 19:25:32 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 5.8827 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6155 loss: 1.6155 2022/06/28 01:55:43 - mmengine - INFO - Epoch(train) [30][3000/3757] lr: 1.000e-02 eta: 19:25:28 time: 0.212 data_time: 0.006 memory: 5148 grad_norm: 5.4525 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.8472 loss: 1.8472 2022/06/28 01:55:49 - mmengine - INFO - Epoch(train) [30][3020/3757] lr: 1.000e-02 eta: 19:25:24 time: 0.219 data_time: 0.035 memory: 5148 grad_norm: 6.7585 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3636 loss: 2.3636 2022/06/28 01:55:54 - mmengine - INFO - Epoch(train) [30][3040/3757] lr: 1.000e-02 eta: 19:25:18 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 5.2641 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9379 loss: 1.9379 2022/06/28 01:55:56 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 01:55:59 - mmengine - INFO - Epoch(train) [30][3060/3757] lr: 1.000e-02 eta: 19:25:13 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.2518 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2288 loss: 2.2288 2022/06/28 01:56:05 - mmengine - INFO - Epoch(train) [30][3080/3757] lr: 1.000e-02 eta: 19:25:08 time: 0.198 data_time: 0.018 memory: 5148 grad_norm: 6.2092 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7293 loss: 1.7293 2022/06/28 01:56:10 - mmengine - INFO - Epoch(train) [30][3100/3757] lr: 1.000e-02 eta: 19:25:02 time: 0.227 data_time: 0.012 memory: 5148 grad_norm: 5.7383 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1764 loss: 2.1764 2022/06/28 01:56:15 - mmengine - INFO - Epoch(train) [30][3120/3757] lr: 1.000e-02 eta: 19:24:57 time: 0.217 data_time: 0.008 memory: 5148 grad_norm: 6.5684 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1165 loss: 2.1165 2022/06/28 01:56:21 - mmengine - INFO - Epoch(train) [30][3140/3757] lr: 1.000e-02 eta: 19:24:53 time: 0.710 data_time: 0.034 memory: 5148 grad_norm: 5.5088 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4704 loss: 2.4704 2022/06/28 01:56:26 - mmengine - INFO - Epoch(train) [30][3160/3757] lr: 1.000e-02 eta: 19:24:46 time: 0.216 data_time: 0.006 memory: 5148 grad_norm: 5.8599 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8143 loss: 1.8143 2022/06/28 01:56:31 - mmengine - INFO - Epoch(train) [30][3180/3757] lr: 1.000e-02 eta: 19:24:41 time: 0.221 data_time: 0.007 memory: 5148 grad_norm: 5.3579 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3647 loss: 2.3647 2022/06/28 01:56:37 - mmengine - INFO - Epoch(train) [30][3200/3757] lr: 1.000e-02 eta: 19:24:36 time: 0.209 data_time: 0.032 memory: 5148 grad_norm: 4.9193 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3705 loss: 2.3705 2022/06/28 01:56:42 - mmengine - INFO - Epoch(train) [30][3220/3757] lr: 1.000e-02 eta: 19:24:31 time: 0.230 data_time: 0.006 memory: 5148 grad_norm: 5.5088 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 1.9906 loss: 1.9906 2022/06/28 01:56:47 - mmengine - INFO - Epoch(train) [30][3240/3757] lr: 1.000e-02 eta: 19:24:25 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.4796 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9625 loss: 1.9625 2022/06/28 01:56:52 - mmengine - INFO - Epoch(train) [30][3260/3757] lr: 1.000e-02 eta: 19:24:19 time: 0.216 data_time: 0.029 memory: 5148 grad_norm: 5.7245 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9378 loss: 1.9378 2022/06/28 01:56:58 - mmengine - INFO - Epoch(train) [30][3280/3757] lr: 1.000e-02 eta: 19:24:14 time: 0.416 data_time: 0.010 memory: 5148 grad_norm: 5.5381 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1087 loss: 2.1087 2022/06/28 01:57:04 - mmengine - INFO - Epoch(train) [30][3300/3757] lr: 1.000e-02 eta: 19:24:10 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 5.0396 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2781 loss: 2.2781 2022/06/28 01:57:08 - mmengine - INFO - Epoch(train) [30][3320/3757] lr: 1.000e-02 eta: 19:24:02 time: 0.201 data_time: 0.020 memory: 5148 grad_norm: 5.5229 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1911 loss: 2.1911 2022/06/28 01:57:13 - mmengine - INFO - Epoch(train) [30][3340/3757] lr: 1.000e-02 eta: 19:23:58 time: 0.477 data_time: 0.007 memory: 5148 grad_norm: 5.9350 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9354 loss: 1.9354 2022/06/28 01:57:18 - mmengine - INFO - Epoch(train) [30][3360/3757] lr: 1.000e-02 eta: 19:23:52 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 5.2602 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1212 loss: 2.1212 2022/06/28 01:57:24 - mmengine - INFO - Epoch(train) [30][3380/3757] lr: 1.000e-02 eta: 19:23:47 time: 0.196 data_time: 0.021 memory: 5148 grad_norm: 5.7972 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9477 loss: 1.9477 2022/06/28 01:57:30 - mmengine - INFO - Epoch(train) [30][3400/3757] lr: 1.000e-02 eta: 19:23:43 time: 0.789 data_time: 0.009 memory: 5148 grad_norm: 5.4084 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7956 loss: 1.7956 2022/06/28 01:57:35 - mmengine - INFO - Epoch(train) [30][3420/3757] lr: 1.000e-02 eta: 19:23:37 time: 0.199 data_time: 0.015 memory: 5148 grad_norm: 5.6717 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7702 loss: 1.7702 2022/06/28 01:57:40 - mmengine - INFO - Epoch(train) [30][3440/3757] lr: 1.000e-02 eta: 19:23:31 time: 0.206 data_time: 0.030 memory: 5148 grad_norm: 4.9923 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9593 loss: 1.9593 2022/06/28 01:57:45 - mmengine - INFO - Epoch(train) [30][3460/3757] lr: 1.000e-02 eta: 19:23:27 time: 0.217 data_time: 0.006 memory: 5148 grad_norm: 5.4297 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6734 loss: 1.6734 2022/06/28 01:57:51 - mmengine - INFO - Epoch(train) [30][3480/3757] lr: 1.000e-02 eta: 19:23:21 time: 0.226 data_time: 0.008 memory: 5148 grad_norm: 6.2674 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7054 loss: 1.7054 2022/06/28 01:57:56 - mmengine - INFO - Epoch(train) [30][3500/3757] lr: 1.000e-02 eta: 19:23:17 time: 0.208 data_time: 0.024 memory: 5148 grad_norm: 5.3529 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6577 loss: 1.6577 2022/06/28 01:58:02 - mmengine - INFO - Epoch(train) [30][3520/3757] lr: 1.000e-02 eta: 19:23:12 time: 0.202 data_time: 0.009 memory: 5148 grad_norm: 5.5355 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9635 loss: 1.9635 2022/06/28 01:58:07 - mmengine - INFO - Epoch(train) [30][3540/3757] lr: 1.000e-02 eta: 19:23:06 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 5.9262 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1185 loss: 2.1185 2022/06/28 01:58:12 - mmengine - INFO - Epoch(train) [30][3560/3757] lr: 1.000e-02 eta: 19:23:00 time: 0.211 data_time: 0.025 memory: 5148 grad_norm: 5.0254 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3401 loss: 2.3401 2022/06/28 01:58:18 - mmengine - INFO - Epoch(train) [30][3580/3757] lr: 1.000e-02 eta: 19:22:56 time: 0.209 data_time: 0.011 memory: 5148 grad_norm: 5.4534 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1155 loss: 2.1155 2022/06/28 01:58:24 - mmengine - INFO - Epoch(train) [30][3600/3757] lr: 1.000e-02 eta: 19:22:52 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 5.9573 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2539 loss: 2.2539 2022/06/28 01:58:28 - mmengine - INFO - Epoch(train) [30][3620/3757] lr: 1.000e-02 eta: 19:22:45 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 5.6965 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2803 loss: 2.2803 2022/06/28 01:58:34 - mmengine - INFO - Epoch(train) [30][3640/3757] lr: 1.000e-02 eta: 19:22:41 time: 0.207 data_time: 0.006 memory: 5148 grad_norm: 6.3729 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7573 loss: 1.7573 2022/06/28 01:58:39 - mmengine - INFO - Epoch(train) [30][3660/3757] lr: 1.000e-02 eta: 19:22:35 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 5.4203 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9571 loss: 1.9571 2022/06/28 01:58:45 - mmengine - INFO - Epoch(train) [30][3680/3757] lr: 1.000e-02 eta: 19:22:30 time: 0.211 data_time: 0.006 memory: 5148 grad_norm: 5.6831 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2102 loss: 2.2102 2022/06/28 01:58:50 - mmengine - INFO - Epoch(train) [30][3700/3757] lr: 1.000e-02 eta: 19:22:24 time: 0.207 data_time: 0.013 memory: 5148 grad_norm: 5.8986 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2087 loss: 2.2087 2022/06/28 01:58:55 - mmengine - INFO - Epoch(train) [30][3720/3757] lr: 1.000e-02 eta: 19:22:19 time: 0.193 data_time: 0.011 memory: 5148 grad_norm: 5.2301 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3268 loss: 2.3268 2022/06/28 01:59:00 - mmengine - INFO - Epoch(train) [30][3740/3757] lr: 1.000e-02 eta: 19:22:13 time: 0.229 data_time: 0.007 memory: 5148 grad_norm: 5.8922 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0997 loss: 2.0997 2022/06/28 01:59:04 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 01:59:04 - mmengine - INFO - Saving checkpoint at 30 epochs 2022/06/28 01:59:13 - mmengine - INFO - Epoch(val) [30][20/310] eta: 0:01:14 time: 0.298 data_time: 0.211 memory: 5148 2022/06/28 01:59:17 - mmengine - INFO - Epoch(val) [30][40/310] eta: 0:01:00 time: 0.078 data_time: 0.006 memory: 1367 2022/06/28 01:59:23 - mmengine - INFO - Epoch(val) [30][60/310] eta: 0:00:59 time: 0.125 data_time: 0.053 memory: 1367 2022/06/28 01:59:28 - mmengine - INFO - Epoch(val) [30][80/310] eta: 0:00:58 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 01:59:34 - mmengine - INFO - Epoch(val) [30][100/310] eta: 0:00:57 time: 0.554 data_time: 0.478 memory: 1367 2022/06/28 01:59:38 - mmengine - INFO - Epoch(val) [30][120/310] eta: 0:00:44 time: 0.078 data_time: 0.005 memory: 1367 2022/06/28 01:59:45 - mmengine - INFO - Epoch(val) [30][140/310] eta: 0:01:00 time: 1.387 data_time: 1.311 memory: 1367 2022/06/28 01:59:49 - mmengine - INFO - Epoch(val) [30][160/310] eta: 0:00:32 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 01:59:56 - mmengine - INFO - Epoch(val) [30][180/310] eta: 0:00:48 time: 1.268 data_time: 1.197 memory: 1367 2022/06/28 02:00:00 - mmengine - INFO - Epoch(val) [30][200/310] eta: 0:00:23 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 02:00:08 - mmengine - INFO - Epoch(val) [30][220/310] eta: 0:00:55 time: 3.103 data_time: 2.906 memory: 1367 2022/06/28 02:00:13 - mmengine - INFO - Epoch(val) [30][240/310] eta: 0:00:14 time: 0.078 data_time: 0.006 memory: 1367 2022/06/28 02:00:18 - mmengine - INFO - Epoch(val) [30][260/310] eta: 0:00:17 time: 0.595 data_time: 0.523 memory: 1367 2022/06/28 02:00:23 - mmengine - INFO - Epoch(val) [30][280/310] eta: 0:00:06 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 02:00:28 - mmengine - INFO - Epoch(val) [30][300/310] eta: 0:00:02 time: 0.349 data_time: 0.278 memory: 1367 2022/06/28 02:00:31 - mmengine - INFO - Epoch(val) [30][310/310] acc/top1: 0.5494 acc/top5: 0.7933 acc/mean1: 0.5492 2022/06/28 02:00:39 - mmengine - INFO - Epoch(train) [31][20/3757] lr: 1.000e-02 eta: 19:22:06 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.0408 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3530 loss: 2.3530 2022/06/28 02:00:45 - mmengine - INFO - Epoch(train) [31][40/3757] lr: 1.000e-02 eta: 19:22:02 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 4.7730 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1725 loss: 2.1725 2022/06/28 02:00:50 - mmengine - INFO - Epoch(train) [31][60/3757] lr: 1.000e-02 eta: 19:21:56 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 5.9972 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0596 loss: 2.0596 2022/06/28 02:00:55 - mmengine - INFO - Epoch(train) [31][80/3757] lr: 1.000e-02 eta: 19:21:51 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.2405 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8847 loss: 1.8847 2022/06/28 02:01:00 - mmengine - INFO - Epoch(train) [31][100/3757] lr: 1.000e-02 eta: 19:21:45 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 4.9011 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2423 loss: 2.2423 2022/06/28 02:01:05 - mmengine - INFO - Epoch(train) [31][120/3757] lr: 1.000e-02 eta: 19:21:39 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.6175 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1297 loss: 2.1297 2022/06/28 02:01:12 - mmengine - INFO - Epoch(train) [31][140/3757] lr: 1.000e-02 eta: 19:21:36 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 6.3308 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0385 loss: 2.0385 2022/06/28 02:01:16 - mmengine - INFO - Epoch(train) [31][160/3757] lr: 1.000e-02 eta: 19:21:29 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.5727 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9282 loss: 1.9282 2022/06/28 02:01:21 - mmengine - INFO - Epoch(train) [31][180/3757] lr: 1.000e-02 eta: 19:21:22 time: 0.228 data_time: 0.010 memory: 5148 grad_norm: 4.6543 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0253 loss: 2.0253 2022/06/28 02:01:26 - mmengine - INFO - Epoch(train) [31][200/3757] lr: 1.000e-02 eta: 19:21:18 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 5.4419 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8194 loss: 1.8194 2022/06/28 02:01:32 - mmengine - INFO - Epoch(train) [31][220/3757] lr: 1.000e-02 eta: 19:21:13 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 4.7550 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7954 loss: 1.7954 2022/06/28 02:01:37 - mmengine - INFO - Epoch(train) [31][240/3757] lr: 1.000e-02 eta: 19:21:06 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.0074 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7303 loss: 2.7303 2022/06/28 02:01:42 - mmengine - INFO - Epoch(train) [31][260/3757] lr: 1.000e-02 eta: 19:21:01 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.4116 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5529 loss: 2.5529 2022/06/28 02:01:48 - mmengine - INFO - Epoch(train) [31][280/3757] lr: 1.000e-02 eta: 19:20:57 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 5.1843 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9284 loss: 1.9284 2022/06/28 02:01:51 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 02:01:53 - mmengine - INFO - Epoch(train) [31][300/3757] lr: 1.000e-02 eta: 19:20:50 time: 0.191 data_time: 0.010 memory: 5148 grad_norm: 4.9750 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8514 loss: 1.8514 2022/06/28 02:01:59 - mmengine - INFO - Epoch(train) [31][320/3757] lr: 1.000e-02 eta: 19:20:47 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.3550 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4467 loss: 2.4467 2022/06/28 02:02:04 - mmengine - INFO - Epoch(train) [31][340/3757] lr: 1.000e-02 eta: 19:20:41 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 6.2061 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0334 loss: 2.0334 2022/06/28 02:02:09 - mmengine - INFO - Epoch(train) [31][360/3757] lr: 1.000e-02 eta: 19:20:35 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.5517 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2382 loss: 2.2382 2022/06/28 02:02:14 - mmengine - INFO - Epoch(train) [31][380/3757] lr: 1.000e-02 eta: 19:20:30 time: 0.193 data_time: 0.008 memory: 5148 grad_norm: 6.1217 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 1.9320 loss: 1.9320 2022/06/28 02:02:20 - mmengine - INFO - Epoch(train) [31][400/3757] lr: 1.000e-02 eta: 19:20:26 time: 0.196 data_time: 0.009 memory: 5148 grad_norm: 5.5574 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9160 loss: 1.9160 2022/06/28 02:02:25 - mmengine - INFO - Epoch(train) [31][420/3757] lr: 1.000e-02 eta: 19:20:19 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.8815 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7998 loss: 1.7998 2022/06/28 02:02:30 - mmengine - INFO - Epoch(train) [31][440/3757] lr: 1.000e-02 eta: 19:20:15 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 6.2870 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8006 loss: 1.8006 2022/06/28 02:02:36 - mmengine - INFO - Epoch(train) [31][460/3757] lr: 1.000e-02 eta: 19:20:10 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 6.2827 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8256 loss: 1.8256 2022/06/28 02:02:41 - mmengine - INFO - Epoch(train) [31][480/3757] lr: 1.000e-02 eta: 19:20:05 time: 0.210 data_time: 0.009 memory: 5148 grad_norm: 5.6843 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9019 loss: 1.9019 2022/06/28 02:02:47 - mmengine - INFO - Epoch(train) [31][500/3757] lr: 1.000e-02 eta: 19:20:01 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 7.4530 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2779 loss: 2.2779 2022/06/28 02:02:52 - mmengine - INFO - Epoch(train) [31][520/3757] lr: 1.000e-02 eta: 19:19:54 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 6.4507 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1433 loss: 2.1433 2022/06/28 02:02:57 - mmengine - INFO - Epoch(train) [31][540/3757] lr: 1.000e-02 eta: 19:19:49 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 4.9790 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0726 loss: 2.0726 2022/06/28 02:03:03 - mmengine - INFO - Epoch(train) [31][560/3757] lr: 1.000e-02 eta: 19:19:45 time: 0.210 data_time: 0.021 memory: 5148 grad_norm: 5.5341 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2326 loss: 2.2326 2022/06/28 02:03:08 - mmengine - INFO - Epoch(train) [31][580/3757] lr: 1.000e-02 eta: 19:19:38 time: 0.198 data_time: 0.009 memory: 5148 grad_norm: 5.2804 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6429 loss: 2.6429 2022/06/28 02:03:13 - mmengine - INFO - Epoch(train) [31][600/3757] lr: 1.000e-02 eta: 19:19:33 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 5.2133 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8475 loss: 1.8475 2022/06/28 02:03:19 - mmengine - INFO - Epoch(train) [31][620/3757] lr: 1.000e-02 eta: 19:19:28 time: 0.201 data_time: 0.021 memory: 5148 grad_norm: 5.2488 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2450 loss: 2.2450 2022/06/28 02:03:24 - mmengine - INFO - Epoch(train) [31][640/3757] lr: 1.000e-02 eta: 19:19:22 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 5.6646 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8717 loss: 1.8717 2022/06/28 02:03:29 - mmengine - INFO - Epoch(train) [31][660/3757] lr: 1.000e-02 eta: 19:19:17 time: 0.195 data_time: 0.006 memory: 5148 grad_norm: 5.8120 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0627 loss: 2.0627 2022/06/28 02:03:35 - mmengine - INFO - Epoch(train) [31][680/3757] lr: 1.000e-02 eta: 19:19:13 time: 0.196 data_time: 0.009 memory: 5148 grad_norm: 5.8893 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3384 loss: 2.3384 2022/06/28 02:03:40 - mmengine - INFO - Epoch(train) [31][700/3757] lr: 1.000e-02 eta: 19:19:06 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.3251 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8166 loss: 1.8166 2022/06/28 02:03:45 - mmengine - INFO - Epoch(train) [31][720/3757] lr: 1.000e-02 eta: 19:19:01 time: 0.194 data_time: 0.006 memory: 5148 grad_norm: 5.8191 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3356 loss: 2.3356 2022/06/28 02:03:50 - mmengine - INFO - Epoch(train) [31][740/3757] lr: 1.000e-02 eta: 19:18:56 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.7118 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0047 loss: 2.0047 2022/06/28 02:03:55 - mmengine - INFO - Epoch(train) [31][760/3757] lr: 1.000e-02 eta: 19:18:49 time: 0.188 data_time: 0.006 memory: 5148 grad_norm: 5.8605 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9986 loss: 1.9986 2022/06/28 02:04:02 - mmengine - INFO - Epoch(train) [31][780/3757] lr: 1.000e-02 eta: 19:18:46 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 5.5442 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8448 loss: 1.8448 2022/06/28 02:04:07 - mmengine - INFO - Epoch(train) [31][800/3757] lr: 1.000e-02 eta: 19:18:42 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 5.3332 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4298 loss: 1.4298 2022/06/28 02:04:12 - mmengine - INFO - Epoch(train) [31][820/3757] lr: 1.000e-02 eta: 19:18:36 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 6.1014 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6267 loss: 2.6267 2022/06/28 02:04:18 - mmengine - INFO - Epoch(train) [31][840/3757] lr: 1.000e-02 eta: 19:18:31 time: 0.189 data_time: 0.010 memory: 5148 grad_norm: 5.7832 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0523 loss: 2.0523 2022/06/28 02:04:23 - mmengine - INFO - Epoch(train) [31][860/3757] lr: 1.000e-02 eta: 19:18:25 time: 0.200 data_time: 0.012 memory: 5148 grad_norm: 6.7704 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8470 loss: 1.8470 2022/06/28 02:04:27 - mmengine - INFO - Epoch(train) [31][880/3757] lr: 1.000e-02 eta: 19:18:18 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 6.2686 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7103 loss: 1.7103 2022/06/28 02:04:33 - mmengine - INFO - Epoch(train) [31][900/3757] lr: 1.000e-02 eta: 19:18:14 time: 0.194 data_time: 0.013 memory: 5148 grad_norm: 5.8394 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1347 loss: 2.1347 2022/06/28 02:04:38 - mmengine - INFO - Epoch(train) [31][920/3757] lr: 1.000e-02 eta: 19:18:08 time: 0.199 data_time: 0.013 memory: 5148 grad_norm: 5.6402 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9021 loss: 1.9021 2022/06/28 02:04:44 - mmengine - INFO - Epoch(train) [31][940/3757] lr: 1.000e-02 eta: 19:18:04 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.5896 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9758 loss: 1.9758 2022/06/28 02:04:49 - mmengine - INFO - Epoch(train) [31][960/3757] lr: 1.000e-02 eta: 19:17:58 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 7.8783 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9839 loss: 1.9839 2022/06/28 02:04:54 - mmengine - INFO - Epoch(train) [31][980/3757] lr: 1.000e-02 eta: 19:17:52 time: 0.196 data_time: 0.020 memory: 5148 grad_norm: 5.2694 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2506 loss: 2.2506 2022/06/28 02:04:59 - mmengine - INFO - Epoch(train) [31][1000/3757] lr: 1.000e-02 eta: 19:17:47 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.4337 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7418 loss: 1.7418 2022/06/28 02:05:05 - mmengine - INFO - Epoch(train) [31][1020/3757] lr: 1.000e-02 eta: 19:17:42 time: 0.198 data_time: 0.023 memory: 5148 grad_norm: 5.9959 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3615 loss: 2.3615 2022/06/28 02:05:11 - mmengine - INFO - Epoch(train) [31][1040/3757] lr: 1.000e-02 eta: 19:17:38 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.2593 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0984 loss: 2.0984 2022/06/28 02:05:16 - mmengine - INFO - Epoch(train) [31][1060/3757] lr: 1.000e-02 eta: 19:17:31 time: 0.198 data_time: 0.013 memory: 5148 grad_norm: 5.8849 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9114 loss: 1.9114 2022/06/28 02:05:22 - mmengine - INFO - Epoch(train) [31][1080/3757] lr: 1.000e-02 eta: 19:17:28 time: 0.203 data_time: 0.019 memory: 5148 grad_norm: 6.1671 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3326 loss: 2.3326 2022/06/28 02:05:27 - mmengine - INFO - Epoch(train) [31][1100/3757] lr: 1.000e-02 eta: 19:17:23 time: 0.228 data_time: 0.007 memory: 5148 grad_norm: 5.7738 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9819 loss: 1.9819 2022/06/28 02:05:32 - mmengine - INFO - Epoch(train) [31][1120/3757] lr: 1.000e-02 eta: 19:17:16 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 5.9461 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9052 loss: 1.9052 2022/06/28 02:05:37 - mmengine - INFO - Epoch(train) [31][1140/3757] lr: 1.000e-02 eta: 19:17:11 time: 0.202 data_time: 0.013 memory: 5148 grad_norm: 5.1938 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1441 loss: 2.1441 2022/06/28 02:05:42 - mmengine - INFO - Epoch(train) [31][1160/3757] lr: 1.000e-02 eta: 19:17:06 time: 0.199 data_time: 0.016 memory: 5148 grad_norm: 6.1587 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6453 loss: 1.6453 2022/06/28 02:05:47 - mmengine - INFO - Epoch(train) [31][1180/3757] lr: 1.000e-02 eta: 19:16:59 time: 0.198 data_time: 0.015 memory: 5148 grad_norm: 5.0535 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9644 loss: 1.9644 2022/06/28 02:05:53 - mmengine - INFO - Epoch(train) [31][1200/3757] lr: 1.000e-02 eta: 19:16:54 time: 0.199 data_time: 0.015 memory: 5148 grad_norm: 6.9074 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.8413 loss: 1.8413 2022/06/28 02:05:58 - mmengine - INFO - Epoch(train) [31][1220/3757] lr: 1.000e-02 eta: 19:16:48 time: 0.197 data_time: 0.016 memory: 5148 grad_norm: 5.5321 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0380 loss: 2.0380 2022/06/28 02:06:03 - mmengine - INFO - Epoch(train) [31][1240/3757] lr: 1.000e-02 eta: 19:16:44 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 6.0460 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0003 loss: 2.0003 2022/06/28 02:06:09 - mmengine - INFO - Epoch(train) [31][1260/3757] lr: 1.000e-02 eta: 19:16:39 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 5.9884 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2869 loss: 2.2869 2022/06/28 02:06:14 - mmengine - INFO - Epoch(train) [31][1280/3757] lr: 1.000e-02 eta: 19:16:33 time: 0.207 data_time: 0.012 memory: 5148 grad_norm: 5.2229 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0041 loss: 2.0041 2022/06/28 02:06:16 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 02:06:19 - mmengine - INFO - Epoch(train) [31][1300/3757] lr: 1.000e-02 eta: 19:16:27 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.3620 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3325 loss: 2.3325 2022/06/28 02:06:24 - mmengine - INFO - Epoch(train) [31][1320/3757] lr: 1.000e-02 eta: 19:16:22 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.1809 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4585 loss: 2.4585 2022/06/28 02:06:30 - mmengine - INFO - Epoch(train) [31][1340/3757] lr: 1.000e-02 eta: 19:16:17 time: 0.239 data_time: 0.008 memory: 5148 grad_norm: 6.0690 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6417 loss: 2.6417 2022/06/28 02:06:35 - mmengine - INFO - Epoch(train) [31][1360/3757] lr: 1.000e-02 eta: 19:16:12 time: 0.208 data_time: 0.010 memory: 5148 grad_norm: 6.2102 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2360 loss: 2.2360 2022/06/28 02:06:41 - mmengine - INFO - Epoch(train) [31][1380/3757] lr: 1.000e-02 eta: 19:16:07 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.9532 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1342 loss: 2.1342 2022/06/28 02:06:46 - mmengine - INFO - Epoch(train) [31][1400/3757] lr: 1.000e-02 eta: 19:16:01 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 5.9154 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8572 loss: 1.8572 2022/06/28 02:06:53 - mmengine - INFO - Epoch(train) [31][1420/3757] lr: 1.000e-02 eta: 19:16:00 time: 0.199 data_time: 0.018 memory: 5148 grad_norm: 5.7265 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7940 loss: 1.7940 2022/06/28 02:06:57 - mmengine - INFO - Epoch(train) [31][1440/3757] lr: 1.000e-02 eta: 19:15:52 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 4.5179 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8180 loss: 1.8180 2022/06/28 02:07:01 - mmengine - INFO - Epoch(train) [31][1460/3757] lr: 1.000e-02 eta: 19:15:44 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 6.8255 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8374 loss: 1.8374 2022/06/28 02:07:06 - mmengine - INFO - Epoch(train) [31][1480/3757] lr: 1.000e-02 eta: 19:15:37 time: 0.242 data_time: 0.010 memory: 5148 grad_norm: 6.5582 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8757 loss: 1.8757 2022/06/28 02:07:11 - mmengine - INFO - Epoch(train) [31][1500/3757] lr: 1.000e-02 eta: 19:15:32 time: 0.199 data_time: 0.013 memory: 5148 grad_norm: 5.6623 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1236 loss: 2.1236 2022/06/28 02:07:16 - mmengine - INFO - Epoch(train) [31][1520/3757] lr: 1.000e-02 eta: 19:15:26 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 5.6897 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4294 loss: 2.4294 2022/06/28 02:07:22 - mmengine - INFO - Epoch(train) [31][1540/3757] lr: 1.000e-02 eta: 19:15:22 time: 0.199 data_time: 0.020 memory: 5148 grad_norm: 4.8391 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0255 loss: 2.0255 2022/06/28 02:07:28 - mmengine - INFO - Epoch(train) [31][1560/3757] lr: 1.000e-02 eta: 19:15:17 time: 0.241 data_time: 0.010 memory: 5148 grad_norm: 6.4096 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9453 loss: 1.9453 2022/06/28 02:07:33 - mmengine - INFO - Epoch(train) [31][1580/3757] lr: 1.000e-02 eta: 19:15:12 time: 0.215 data_time: 0.010 memory: 5148 grad_norm: 5.3851 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2499 loss: 2.2499 2022/06/28 02:07:39 - mmengine - INFO - Epoch(train) [31][1600/3757] lr: 1.000e-02 eta: 19:15:07 time: 0.198 data_time: 0.016 memory: 5148 grad_norm: 5.2510 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0849 loss: 2.0849 2022/06/28 02:07:44 - mmengine - INFO - Epoch(train) [31][1620/3757] lr: 1.000e-02 eta: 19:15:03 time: 0.227 data_time: 0.047 memory: 5148 grad_norm: 5.3001 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3173 loss: 2.3173 2022/06/28 02:07:49 - mmengine - INFO - Epoch(train) [31][1640/3757] lr: 1.000e-02 eta: 19:14:56 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 5.3151 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2693 loss: 2.2693 2022/06/28 02:07:55 - mmengine - INFO - Epoch(train) [31][1660/3757] lr: 1.000e-02 eta: 19:14:52 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 5.3062 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5703 loss: 1.5703 2022/06/28 02:08:00 - mmengine - INFO - Epoch(train) [31][1680/3757] lr: 1.000e-02 eta: 19:14:47 time: 0.193 data_time: 0.014 memory: 5148 grad_norm: 5.5236 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0369 loss: 2.0369 2022/06/28 02:08:05 - mmengine - INFO - Epoch(train) [31][1700/3757] lr: 1.000e-02 eta: 19:14:41 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.7181 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1838 loss: 2.1838 2022/06/28 02:08:11 - mmengine - INFO - Epoch(train) [31][1720/3757] lr: 1.000e-02 eta: 19:14:36 time: 0.197 data_time: 0.009 memory: 5148 grad_norm: 5.0094 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3055 loss: 2.3055 2022/06/28 02:08:16 - mmengine - INFO - Epoch(train) [31][1740/3757] lr: 1.000e-02 eta: 19:14:31 time: 0.202 data_time: 0.019 memory: 5148 grad_norm: 5.7809 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1295 loss: 2.1295 2022/06/28 02:08:21 - mmengine - INFO - Epoch(train) [31][1760/3757] lr: 1.000e-02 eta: 19:14:25 time: 0.207 data_time: 0.011 memory: 5148 grad_norm: 5.9703 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7938 loss: 1.7938 2022/06/28 02:08:27 - mmengine - INFO - Epoch(train) [31][1780/3757] lr: 1.000e-02 eta: 19:14:21 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.4245 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8912 loss: 1.8912 2022/06/28 02:08:32 - mmengine - INFO - Epoch(train) [31][1800/3757] lr: 1.000e-02 eta: 19:14:15 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 6.5689 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1254 loss: 2.1254 2022/06/28 02:08:37 - mmengine - INFO - Epoch(train) [31][1820/3757] lr: 1.000e-02 eta: 19:14:10 time: 0.202 data_time: 0.009 memory: 5148 grad_norm: 4.7387 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8243 loss: 1.8243 2022/06/28 02:08:43 - mmengine - INFO - Epoch(train) [31][1840/3757] lr: 1.000e-02 eta: 19:14:04 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.2731 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9443 loss: 1.9443 2022/06/28 02:08:49 - mmengine - INFO - Epoch(train) [31][1860/3757] lr: 1.000e-02 eta: 19:14:00 time: 0.185 data_time: 0.007 memory: 5148 grad_norm: 5.2292 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0687 loss: 2.0687 2022/06/28 02:08:53 - mmengine - INFO - Epoch(train) [31][1880/3757] lr: 1.000e-02 eta: 19:13:54 time: 0.201 data_time: 0.013 memory: 5148 grad_norm: 6.2888 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8650 loss: 1.8650 2022/06/28 02:08:59 - mmengine - INFO - Epoch(train) [31][1900/3757] lr: 1.000e-02 eta: 19:13:50 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.5828 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3496 loss: 2.3496 2022/06/28 02:09:05 - mmengine - INFO - Epoch(train) [31][1920/3757] lr: 1.000e-02 eta: 19:13:46 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 5.8467 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3744 loss: 2.3744 2022/06/28 02:09:10 - mmengine - INFO - Epoch(train) [31][1940/3757] lr: 1.000e-02 eta: 19:13:40 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.1389 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2440 loss: 2.2440 2022/06/28 02:09:15 - mmengine - INFO - Epoch(train) [31][1960/3757] lr: 1.000e-02 eta: 19:13:34 time: 0.193 data_time: 0.006 memory: 5148 grad_norm: 5.5049 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4937 loss: 2.4937 2022/06/28 02:09:21 - mmengine - INFO - Epoch(train) [31][1980/3757] lr: 1.000e-02 eta: 19:13:29 time: 0.191 data_time: 0.010 memory: 5148 grad_norm: 6.1156 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5147 loss: 1.5147 2022/06/28 02:09:25 - mmengine - INFO - Epoch(train) [31][2000/3757] lr: 1.000e-02 eta: 19:13:22 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 6.0034 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0963 loss: 2.0963 2022/06/28 02:09:31 - mmengine - INFO - Epoch(train) [31][2020/3757] lr: 1.000e-02 eta: 19:13:17 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.1538 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7744 loss: 1.7744 2022/06/28 02:09:37 - mmengine - INFO - Epoch(train) [31][2040/3757] lr: 1.000e-02 eta: 19:13:13 time: 0.198 data_time: 0.013 memory: 5148 grad_norm: 6.4363 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8944 loss: 1.8944 2022/06/28 02:09:41 - mmengine - INFO - Epoch(train) [31][2060/3757] lr: 1.000e-02 eta: 19:13:06 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 6.1239 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2750 loss: 2.2750 2022/06/28 02:09:47 - mmengine - INFO - Epoch(train) [31][2080/3757] lr: 1.000e-02 eta: 19:13:01 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 4.8213 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9347 loss: 1.9347 2022/06/28 02:09:52 - mmengine - INFO - Epoch(train) [31][2100/3757] lr: 1.000e-02 eta: 19:12:57 time: 0.206 data_time: 0.009 memory: 5148 grad_norm: 5.5476 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9135 loss: 1.9135 2022/06/28 02:09:57 - mmengine - INFO - Epoch(train) [31][2120/3757] lr: 1.000e-02 eta: 19:12:50 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.2123 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9516 loss: 1.9516 2022/06/28 02:10:03 - mmengine - INFO - Epoch(train) [31][2140/3757] lr: 1.000e-02 eta: 19:12:46 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.0731 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0815 loss: 2.0815 2022/06/28 02:10:08 - mmengine - INFO - Epoch(train) [31][2160/3757] lr: 1.000e-02 eta: 19:12:41 time: 0.211 data_time: 0.011 memory: 5148 grad_norm: 5.9632 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3200 loss: 2.3200 2022/06/28 02:10:13 - mmengine - INFO - Epoch(train) [31][2180/3757] lr: 1.000e-02 eta: 19:12:35 time: 0.211 data_time: 0.011 memory: 5148 grad_norm: 6.4007 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9763 loss: 1.9763 2022/06/28 02:10:19 - mmengine - INFO - Epoch(train) [31][2200/3757] lr: 1.000e-02 eta: 19:12:30 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 5.2926 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2247 loss: 2.2247 2022/06/28 02:10:24 - mmengine - INFO - Epoch(train) [31][2220/3757] lr: 1.000e-02 eta: 19:12:24 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 5.8384 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8946 loss: 1.8946 2022/06/28 02:10:29 - mmengine - INFO - Epoch(train) [31][2240/3757] lr: 1.000e-02 eta: 19:12:20 time: 0.205 data_time: 0.009 memory: 5148 grad_norm: 5.9179 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.0397 loss: 2.0397 2022/06/28 02:10:35 - mmengine - INFO - Epoch(train) [31][2260/3757] lr: 1.000e-02 eta: 19:12:15 time: 0.188 data_time: 0.007 memory: 5148 grad_norm: 5.8127 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1800 loss: 2.1800 2022/06/28 02:10:41 - mmengine - INFO - Epoch(train) [31][2280/3757] lr: 1.000e-02 eta: 19:12:11 time: 0.194 data_time: 0.009 memory: 5148 grad_norm: 5.5242 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2442 loss: 2.2442 2022/06/28 02:10:43 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 02:10:45 - mmengine - INFO - Epoch(train) [31][2300/3757] lr: 1.000e-02 eta: 19:12:03 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.8246 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2128 loss: 2.2128 2022/06/28 02:10:50 - mmengine - INFO - Epoch(train) [31][2320/3757] lr: 1.000e-02 eta: 19:11:58 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.5084 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2257 loss: 2.2257 2022/06/28 02:10:56 - mmengine - INFO - Epoch(train) [31][2340/3757] lr: 1.000e-02 eta: 19:11:53 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.8706 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9356 loss: 1.9356 2022/06/28 02:11:01 - mmengine - INFO - Epoch(train) [31][2360/3757] lr: 1.000e-02 eta: 19:11:47 time: 0.218 data_time: 0.015 memory: 5148 grad_norm: 5.7939 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1437 loss: 2.1437 2022/06/28 02:11:07 - mmengine - INFO - Epoch(train) [31][2380/3757] lr: 1.000e-02 eta: 19:11:43 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.7344 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1453 loss: 2.1453 2022/06/28 02:11:13 - mmengine - INFO - Epoch(train) [31][2400/3757] lr: 1.000e-02 eta: 19:11:39 time: 0.217 data_time: 0.036 memory: 5148 grad_norm: 4.2199 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7614 loss: 1.7614 2022/06/28 02:11:17 - mmengine - INFO - Epoch(train) [31][2420/3757] lr: 1.000e-02 eta: 19:11:32 time: 0.228 data_time: 0.033 memory: 5148 grad_norm: 4.8088 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0926 loss: 2.0926 2022/06/28 02:11:23 - mmengine - INFO - Epoch(train) [31][2440/3757] lr: 1.000e-02 eta: 19:11:27 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.5392 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2232 loss: 2.2232 2022/06/28 02:11:28 - mmengine - INFO - Epoch(train) [31][2460/3757] lr: 1.000e-02 eta: 19:11:22 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.5257 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1752 loss: 2.1752 2022/06/28 02:11:33 - mmengine - INFO - Epoch(train) [31][2480/3757] lr: 1.000e-02 eta: 19:11:16 time: 0.204 data_time: 0.026 memory: 5148 grad_norm: 5.4972 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7750 loss: 1.7750 2022/06/28 02:11:39 - mmengine - INFO - Epoch(train) [31][2500/3757] lr: 1.000e-02 eta: 19:11:11 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 5.7258 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4566 loss: 2.4566 2022/06/28 02:11:44 - mmengine - INFO - Epoch(train) [31][2520/3757] lr: 1.000e-02 eta: 19:11:07 time: 0.219 data_time: 0.012 memory: 5148 grad_norm: 5.7512 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2687 loss: 2.2687 2022/06/28 02:11:49 - mmengine - INFO - Epoch(train) [31][2540/3757] lr: 1.000e-02 eta: 19:10:59 time: 0.203 data_time: 0.013 memory: 5148 grad_norm: 4.9221 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7808 loss: 1.7808 2022/06/28 02:11:55 - mmengine - INFO - Epoch(train) [31][2560/3757] lr: 1.000e-02 eta: 19:10:55 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.2110 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1016 loss: 2.1016 2022/06/28 02:12:00 - mmengine - INFO - Epoch(train) [31][2580/3757] lr: 1.000e-02 eta: 19:10:50 time: 0.194 data_time: 0.012 memory: 5148 grad_norm: 5.4607 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0984 loss: 2.0984 2022/06/28 02:12:05 - mmengine - INFO - Epoch(train) [31][2600/3757] lr: 1.000e-02 eta: 19:10:44 time: 0.195 data_time: 0.014 memory: 5148 grad_norm: 6.0327 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3392 loss: 2.3392 2022/06/28 02:12:10 - mmengine - INFO - Epoch(train) [31][2620/3757] lr: 1.000e-02 eta: 19:10:38 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 6.5298 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1364 loss: 2.1364 2022/06/28 02:12:16 - mmengine - INFO - Epoch(train) [31][2640/3757] lr: 1.000e-02 eta: 19:10:34 time: 0.208 data_time: 0.010 memory: 5148 grad_norm: 4.5348 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2949 loss: 2.2949 2022/06/28 02:12:21 - mmengine - INFO - Epoch(train) [31][2660/3757] lr: 1.000e-02 eta: 19:10:27 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 5.7290 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2862 loss: 2.2862 2022/06/28 02:12:26 - mmengine - INFO - Epoch(train) [31][2680/3757] lr: 1.000e-02 eta: 19:10:22 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 5.3344 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8388 loss: 1.8388 2022/06/28 02:12:32 - mmengine - INFO - Epoch(train) [31][2700/3757] lr: 1.000e-02 eta: 19:10:18 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 5.4614 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9133 loss: 1.9133 2022/06/28 02:12:36 - mmengine - INFO - Epoch(train) [31][2720/3757] lr: 1.000e-02 eta: 19:10:11 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.5082 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1632 loss: 2.1632 2022/06/28 02:12:42 - mmengine - INFO - Epoch(train) [31][2740/3757] lr: 1.000e-02 eta: 19:10:07 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.9667 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1069 loss: 2.1069 2022/06/28 02:12:48 - mmengine - INFO - Epoch(train) [31][2760/3757] lr: 1.000e-02 eta: 19:10:03 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 5.3985 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3164 loss: 2.3164 2022/06/28 02:12:53 - mmengine - INFO - Epoch(train) [31][2780/3757] lr: 1.000e-02 eta: 19:09:56 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 5.2521 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1948 loss: 2.1948 2022/06/28 02:12:58 - mmengine - INFO - Epoch(train) [31][2800/3757] lr: 1.000e-02 eta: 19:09:52 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.7587 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9936 loss: 1.9936 2022/06/28 02:13:04 - mmengine - INFO - Epoch(train) [31][2820/3757] lr: 1.000e-02 eta: 19:09:47 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 5.9466 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8490 loss: 1.8490 2022/06/28 02:13:09 - mmengine - INFO - Epoch(train) [31][2840/3757] lr: 1.000e-02 eta: 19:09:40 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 5.1564 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9218 loss: 1.9218 2022/06/28 02:13:14 - mmengine - INFO - Epoch(train) [31][2860/3757] lr: 1.000e-02 eta: 19:09:35 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 4.9261 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.5746 loss: 1.5746 2022/06/28 02:13:20 - mmengine - INFO - Epoch(train) [31][2880/3757] lr: 1.000e-02 eta: 19:09:30 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 5.5943 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4139 loss: 2.4139 2022/06/28 02:13:25 - mmengine - INFO - Epoch(train) [31][2900/3757] lr: 1.000e-02 eta: 19:09:24 time: 0.391 data_time: 0.007 memory: 5148 grad_norm: 5.4884 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8994 loss: 1.8994 2022/06/28 02:13:30 - mmengine - INFO - Epoch(train) [31][2920/3757] lr: 1.000e-02 eta: 19:09:19 time: 0.207 data_time: 0.006 memory: 5148 grad_norm: 5.5381 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2816 loss: 2.2816 2022/06/28 02:13:35 - mmengine - INFO - Epoch(train) [31][2940/3757] lr: 1.000e-02 eta: 19:09:14 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 6.4703 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1617 loss: 2.1617 2022/06/28 02:13:41 - mmengine - INFO - Epoch(train) [31][2960/3757] lr: 1.000e-02 eta: 19:09:09 time: 0.222 data_time: 0.011 memory: 5148 grad_norm: 5.5716 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7904 loss: 1.7904 2022/06/28 02:13:46 - mmengine - INFO - Epoch(train) [31][2980/3757] lr: 1.000e-02 eta: 19:09:04 time: 0.432 data_time: 0.007 memory: 5148 grad_norm: 5.6965 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8871 loss: 1.8871 2022/06/28 02:13:51 - mmengine - INFO - Epoch(train) [31][3000/3757] lr: 1.000e-02 eta: 19:08:58 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 5.8697 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1542 loss: 2.1542 2022/06/28 02:13:57 - mmengine - INFO - Epoch(train) [31][3020/3757] lr: 1.000e-02 eta: 19:08:53 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 5.8393 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9541 loss: 1.9541 2022/06/28 02:14:02 - mmengine - INFO - Epoch(train) [31][3040/3757] lr: 1.000e-02 eta: 19:08:48 time: 0.668 data_time: 0.007 memory: 5148 grad_norm: 6.0530 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2183 loss: 2.2183 2022/06/28 02:14:08 - mmengine - INFO - Epoch(train) [31][3060/3757] lr: 1.000e-02 eta: 19:08:43 time: 0.407 data_time: 0.006 memory: 5148 grad_norm: 5.3363 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0762 loss: 2.0762 2022/06/28 02:14:13 - mmengine - INFO - Epoch(train) [31][3080/3757] lr: 1.000e-02 eta: 19:08:39 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.3812 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9746 loss: 1.9746 2022/06/28 02:14:18 - mmengine - INFO - Epoch(train) [31][3100/3757] lr: 1.000e-02 eta: 19:08:31 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 5.1349 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2682 loss: 2.2682 2022/06/28 02:14:23 - mmengine - INFO - Epoch(train) [31][3120/3757] lr: 1.000e-02 eta: 19:08:27 time: 0.650 data_time: 0.011 memory: 5148 grad_norm: 5.1908 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4581 loss: 2.4581 2022/06/28 02:14:28 - mmengine - INFO - Epoch(train) [31][3140/3757] lr: 1.000e-02 eta: 19:08:21 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 6.0188 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0460 loss: 2.0460 2022/06/28 02:14:34 - mmengine - INFO - Epoch(train) [31][3160/3757] lr: 1.000e-02 eta: 19:08:17 time: 0.406 data_time: 0.007 memory: 5148 grad_norm: 5.2853 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2918 loss: 2.2918 2022/06/28 02:14:39 - mmengine - INFO - Epoch(train) [31][3180/3757] lr: 1.000e-02 eta: 19:08:11 time: 0.221 data_time: 0.007 memory: 5148 grad_norm: 6.1219 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0202 loss: 2.0202 2022/06/28 02:14:45 - mmengine - INFO - Epoch(train) [31][3200/3757] lr: 1.000e-02 eta: 19:08:07 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.5819 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.5181 loss: 2.5181 2022/06/28 02:14:51 - mmengine - INFO - Epoch(train) [31][3220/3757] lr: 1.000e-02 eta: 19:08:02 time: 0.985 data_time: 0.007 memory: 5148 grad_norm: 5.1880 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7690 loss: 1.7690 2022/06/28 02:14:56 - mmengine - INFO - Epoch(train) [31][3240/3757] lr: 1.000e-02 eta: 19:07:56 time: 0.214 data_time: 0.006 memory: 5148 grad_norm: 6.0894 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1279 loss: 2.1279 2022/06/28 02:15:01 - mmengine - INFO - Epoch(train) [31][3260/3757] lr: 1.000e-02 eta: 19:07:50 time: 0.197 data_time: 0.018 memory: 5148 grad_norm: 5.3915 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0886 loss: 2.0886 2022/06/28 02:15:06 - mmengine - INFO - Epoch(train) [31][3280/3757] lr: 1.000e-02 eta: 19:07:45 time: 0.479 data_time: 0.010 memory: 5148 grad_norm: 5.4466 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9626 loss: 1.9626 2022/06/28 02:15:09 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 02:15:12 - mmengine - INFO - Epoch(train) [31][3300/3757] lr: 1.000e-02 eta: 19:07:40 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 6.0189 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3514 loss: 2.3514 2022/06/28 02:15:17 - mmengine - INFO - Epoch(train) [31][3320/3757] lr: 1.000e-02 eta: 19:07:34 time: 0.199 data_time: 0.018 memory: 5148 grad_norm: 4.7234 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7905 loss: 1.7905 2022/06/28 02:15:22 - mmengine - INFO - Epoch(train) [31][3340/3757] lr: 1.000e-02 eta: 19:07:30 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 5.7869 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2502 loss: 2.2502 2022/06/28 02:15:28 - mmengine - INFO - Epoch(train) [31][3360/3757] lr: 1.000e-02 eta: 19:07:26 time: 0.841 data_time: 0.006 memory: 5148 grad_norm: 6.5125 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2509 loss: 2.2509 2022/06/28 02:15:33 - mmengine - INFO - Epoch(train) [31][3380/3757] lr: 1.000e-02 eta: 19:07:20 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.1945 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7068 loss: 1.7068 2022/06/28 02:15:39 - mmengine - INFO - Epoch(train) [31][3400/3757] lr: 1.000e-02 eta: 19:07:15 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.1894 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0731 loss: 2.0731 2022/06/28 02:15:44 - mmengine - INFO - Epoch(train) [31][3420/3757] lr: 1.000e-02 eta: 19:07:10 time: 0.691 data_time: 0.006 memory: 5148 grad_norm: 5.3149 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2083 loss: 2.2083 2022/06/28 02:15:49 - mmengine - INFO - Epoch(train) [31][3440/3757] lr: 1.000e-02 eta: 19:07:03 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.5295 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1381 loss: 2.1381 2022/06/28 02:15:54 - mmengine - INFO - Epoch(train) [31][3460/3757] lr: 1.000e-02 eta: 19:06:58 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 5.6159 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8353 loss: 1.8353 2022/06/28 02:16:00 - mmengine - INFO - Epoch(train) [31][3480/3757] lr: 1.000e-02 eta: 19:06:53 time: 0.941 data_time: 0.007 memory: 5148 grad_norm: 5.5319 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9231 loss: 1.9231 2022/06/28 02:16:05 - mmengine - INFO - Epoch(train) [31][3500/3757] lr: 1.000e-02 eta: 19:06:46 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.9214 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2662 loss: 2.2662 2022/06/28 02:16:10 - mmengine - INFO - Epoch(train) [31][3520/3757] lr: 1.000e-02 eta: 19:06:42 time: 0.233 data_time: 0.007 memory: 5148 grad_norm: 6.5561 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8428 loss: 1.8428 2022/06/28 02:16:16 - mmengine - INFO - Epoch(train) [31][3540/3757] lr: 1.000e-02 eta: 19:06:37 time: 0.739 data_time: 0.007 memory: 5148 grad_norm: 6.3358 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2491 loss: 2.2491 2022/06/28 02:16:21 - mmengine - INFO - Epoch(train) [31][3560/3757] lr: 1.000e-02 eta: 19:06:32 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.1612 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0320 loss: 2.0320 2022/06/28 02:16:26 - mmengine - INFO - Epoch(train) [31][3580/3757] lr: 1.000e-02 eta: 19:06:26 time: 0.210 data_time: 0.006 memory: 5148 grad_norm: 5.4369 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8836 loss: 1.8836 2022/06/28 02:16:31 - mmengine - INFO - Epoch(train) [31][3600/3757] lr: 1.000e-02 eta: 19:06:20 time: 0.565 data_time: 0.013 memory: 5148 grad_norm: 5.3887 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4773 loss: 2.4773 2022/06/28 02:16:37 - mmengine - INFO - Epoch(train) [31][3620/3757] lr: 1.000e-02 eta: 19:06:15 time: 0.202 data_time: 0.021 memory: 5148 grad_norm: 4.7668 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1388 loss: 2.1388 2022/06/28 02:16:42 - mmengine - INFO - Epoch(train) [31][3640/3757] lr: 1.000e-02 eta: 19:06:11 time: 0.518 data_time: 0.007 memory: 5148 grad_norm: 5.5465 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8335 loss: 1.8335 2022/06/28 02:16:47 - mmengine - INFO - Epoch(train) [31][3660/3757] lr: 1.000e-02 eta: 19:06:05 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 5.9591 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7718 loss: 1.7718 2022/06/28 02:16:53 - mmengine - INFO - Epoch(train) [31][3680/3757] lr: 1.000e-02 eta: 19:06:00 time: 0.193 data_time: 0.011 memory: 5148 grad_norm: 5.0914 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7085 loss: 1.7085 2022/06/28 02:16:58 - mmengine - INFO - Epoch(train) [31][3700/3757] lr: 1.000e-02 eta: 19:05:54 time: 0.560 data_time: 0.007 memory: 5148 grad_norm: 5.3909 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2960 loss: 2.2960 2022/06/28 02:17:03 - mmengine - INFO - Epoch(train) [31][3720/3757] lr: 1.000e-02 eta: 19:05:48 time: 0.306 data_time: 0.007 memory: 5148 grad_norm: 5.6927 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4072 loss: 2.4072 2022/06/28 02:17:09 - mmengine - INFO - Epoch(train) [31][3740/3757] lr: 1.000e-02 eta: 19:05:44 time: 0.205 data_time: 0.017 memory: 5148 grad_norm: 6.0268 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.4423 loss: 2.4423 2022/06/28 02:17:12 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 02:17:19 - mmengine - INFO - Epoch(val) [31][20/310] eta: 0:01:15 time: 0.278 data_time: 0.200 memory: 5148 2022/06/28 02:17:23 - mmengine - INFO - Epoch(val) [31][40/310] eta: 0:01:01 time: 0.080 data_time: 0.008 memory: 1367 2022/06/28 02:17:29 - mmengine - INFO - Epoch(val) [31][60/310] eta: 0:00:57 time: 0.102 data_time: 0.018 memory: 1367 2022/06/28 02:17:34 - mmengine - INFO - Epoch(val) [31][80/310] eta: 0:00:54 time: 0.087 data_time: 0.010 memory: 1367 2022/06/28 02:17:40 - mmengine - INFO - Epoch(val) [31][100/310] eta: 0:01:01 time: 0.501 data_time: 0.417 memory: 1367 2022/06/28 02:17:45 - mmengine - INFO - Epoch(val) [31][120/310] eta: 0:00:45 time: 0.086 data_time: 0.009 memory: 1367 2022/06/28 02:17:51 - mmengine - INFO - Epoch(val) [31][140/310] eta: 0:01:03 time: 1.167 data_time: 1.081 memory: 1367 2022/06/28 02:17:56 - mmengine - INFO - Epoch(val) [31][160/310] eta: 0:00:33 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 02:18:02 - mmengine - INFO - Epoch(val) [31][180/310] eta: 0:00:51 time: 1.350 data_time: 1.272 memory: 1367 2022/06/28 02:18:07 - mmengine - INFO - Epoch(val) [31][200/310] eta: 0:00:27 time: 0.077 data_time: 0.006 memory: 1367 2022/06/28 02:18:13 - mmengine - INFO - Epoch(val) [31][220/310] eta: 0:00:34 time: 0.428 data_time: 0.355 memory: 1367 2022/06/28 02:18:17 - mmengine - INFO - Epoch(val) [31][240/310] eta: 0:00:14 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 02:18:23 - mmengine - INFO - Epoch(val) [31][260/310] eta: 0:00:18 time: 0.372 data_time: 0.301 memory: 1367 2022/06/28 02:18:28 - mmengine - INFO - Epoch(val) [31][280/310] eta: 0:00:07 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 02:18:34 - mmengine - INFO - Epoch(val) [31][300/310] eta: 0:00:03 time: 0.387 data_time: 0.309 memory: 1367 2022/06/28 02:18:36 - mmengine - INFO - Epoch(val) [31][310/310] acc/top1: 0.5546 acc/top5: 0.7975 acc/mean1: 0.5545 2022/06/28 02:18:45 - mmengine - INFO - Epoch(train) [32][20/3757] lr: 1.000e-02 eta: 19:05:36 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.4794 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9789 loss: 1.9789 2022/06/28 02:18:51 - mmengine - INFO - Epoch(train) [32][40/3757] lr: 1.000e-02 eta: 19:05:32 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 6.5738 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8358 loss: 1.8358 2022/06/28 02:18:56 - mmengine - INFO - Epoch(train) [32][60/3757] lr: 1.000e-02 eta: 19:05:25 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 5.5708 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1720 loss: 2.1720 2022/06/28 02:19:01 - mmengine - INFO - Epoch(train) [32][80/3757] lr: 1.000e-02 eta: 19:05:21 time: 0.190 data_time: 0.007 memory: 5148 grad_norm: 5.7783 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1548 loss: 2.1548 2022/06/28 02:19:07 - mmengine - INFO - Epoch(train) [32][100/3757] lr: 1.000e-02 eta: 19:05:16 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 6.6118 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7089 loss: 1.7089 2022/06/28 02:19:12 - mmengine - INFO - Epoch(train) [32][120/3757] lr: 1.000e-02 eta: 19:05:10 time: 0.208 data_time: 0.006 memory: 5148 grad_norm: 5.1609 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7876 loss: 1.7876 2022/06/28 02:19:18 - mmengine - INFO - Epoch(train) [32][140/3757] lr: 1.000e-02 eta: 19:05:05 time: 0.190 data_time: 0.010 memory: 5148 grad_norm: 5.0594 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3834 loss: 2.3834 2022/06/28 02:19:23 - mmengine - INFO - Epoch(train) [32][160/3757] lr: 1.000e-02 eta: 19:05:00 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 4.9312 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4919 loss: 2.4919 2022/06/28 02:19:27 - mmengine - INFO - Epoch(train) [32][180/3757] lr: 1.000e-02 eta: 19:04:53 time: 0.200 data_time: 0.016 memory: 5148 grad_norm: 5.5221 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0877 loss: 2.0877 2022/06/28 02:19:33 - mmengine - INFO - Epoch(train) [32][200/3757] lr: 1.000e-02 eta: 19:04:50 time: 0.202 data_time: 0.025 memory: 5148 grad_norm: 5.6278 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7379 loss: 1.7379 2022/06/28 02:19:39 - mmengine - INFO - Epoch(train) [32][220/3757] lr: 1.000e-02 eta: 19:04:45 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.8510 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1726 loss: 2.1726 2022/06/28 02:19:44 - mmengine - INFO - Epoch(train) [32][240/3757] lr: 1.000e-02 eta: 19:04:38 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.0728 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9453 loss: 1.9453 2022/06/28 02:19:49 - mmengine - INFO - Epoch(train) [32][260/3757] lr: 1.000e-02 eta: 19:04:33 time: 0.194 data_time: 0.014 memory: 5148 grad_norm: 5.5039 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9871 loss: 1.9871 2022/06/28 02:19:55 - mmengine - INFO - Epoch(train) [32][280/3757] lr: 1.000e-02 eta: 19:04:30 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.5641 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9714 loss: 1.9714 2022/06/28 02:20:00 - mmengine - INFO - Epoch(train) [32][300/3757] lr: 1.000e-02 eta: 19:04:23 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.4014 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8267 loss: 1.8267 2022/06/28 02:20:06 - mmengine - INFO - Epoch(train) [32][320/3757] lr: 1.000e-02 eta: 19:04:19 time: 0.206 data_time: 0.028 memory: 5148 grad_norm: 5.4722 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9862 loss: 1.9862 2022/06/28 02:20:11 - mmengine - INFO - Epoch(train) [32][340/3757] lr: 1.000e-02 eta: 19:04:14 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.7327 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2497 loss: 2.2497 2022/06/28 02:20:16 - mmengine - INFO - Epoch(train) [32][360/3757] lr: 1.000e-02 eta: 19:04:07 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 5.9829 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.9456 loss: 1.9456 2022/06/28 02:20:21 - mmengine - INFO - Epoch(train) [32][380/3757] lr: 1.000e-02 eta: 19:04:02 time: 0.200 data_time: 0.017 memory: 5148 grad_norm: 5.5832 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1297 loss: 2.1297 2022/06/28 02:20:27 - mmengine - INFO - Epoch(train) [32][400/3757] lr: 1.000e-02 eta: 19:03:58 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.5548 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1765 loss: 2.1765 2022/06/28 02:20:32 - mmengine - INFO - Epoch(train) [32][420/3757] lr: 1.000e-02 eta: 19:03:51 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 6.1702 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6555 loss: 1.6555 2022/06/28 02:20:37 - mmengine - INFO - Epoch(train) [32][440/3757] lr: 1.000e-02 eta: 19:03:46 time: 0.195 data_time: 0.013 memory: 5148 grad_norm: 5.6687 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0828 loss: 2.0828 2022/06/28 02:20:43 - mmengine - INFO - Epoch(train) [32][460/3757] lr: 1.000e-02 eta: 19:03:42 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 4.4375 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9475 loss: 1.9475 2022/06/28 02:20:48 - mmengine - INFO - Epoch(train) [32][480/3757] lr: 1.000e-02 eta: 19:03:36 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 5.1262 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8036 loss: 1.8036 2022/06/28 02:20:54 - mmengine - INFO - Epoch(train) [32][500/3757] lr: 1.000e-02 eta: 19:03:31 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.2573 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9432 loss: 1.9432 2022/06/28 02:20:59 - mmengine - INFO - Epoch(train) [32][520/3757] lr: 1.000e-02 eta: 19:03:25 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.5201 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9850 loss: 1.9850 2022/06/28 02:21:02 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 02:21:04 - mmengine - INFO - Epoch(train) [32][540/3757] lr: 1.000e-02 eta: 19:03:19 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.1374 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.9513 loss: 1.9513 2022/06/28 02:21:10 - mmengine - INFO - Epoch(train) [32][560/3757] lr: 1.000e-02 eta: 19:03:15 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.0343 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1241 loss: 2.1241 2022/06/28 02:21:15 - mmengine - INFO - Epoch(train) [32][580/3757] lr: 1.000e-02 eta: 19:03:10 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.3821 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9669 loss: 1.9669 2022/06/28 02:21:20 - mmengine - INFO - Epoch(train) [32][600/3757] lr: 1.000e-02 eta: 19:03:04 time: 0.190 data_time: 0.007 memory: 5148 grad_norm: 6.0781 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8267 loss: 1.8267 2022/06/28 02:21:25 - mmengine - INFO - Epoch(train) [32][620/3757] lr: 1.000e-02 eta: 19:02:59 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 5.2715 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1136 loss: 2.1136 2022/06/28 02:21:31 - mmengine - INFO - Epoch(train) [32][640/3757] lr: 1.000e-02 eta: 19:02:55 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.3736 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1534 loss: 2.1534 2022/06/28 02:21:36 - mmengine - INFO - Epoch(train) [32][660/3757] lr: 1.000e-02 eta: 19:02:48 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.8311 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9107 loss: 1.9107 2022/06/28 02:21:41 - mmengine - INFO - Epoch(train) [32][680/3757] lr: 1.000e-02 eta: 19:02:43 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 5.8325 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9732 loss: 1.9732 2022/06/28 02:21:47 - mmengine - INFO - Epoch(train) [32][700/3757] lr: 1.000e-02 eta: 19:02:38 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 4.7309 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3809 loss: 2.3809 2022/06/28 02:21:52 - mmengine - INFO - Epoch(train) [32][720/3757] lr: 1.000e-02 eta: 19:02:34 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 5.6998 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6028 loss: 2.6028 2022/06/28 02:21:58 - mmengine - INFO - Epoch(train) [32][740/3757] lr: 1.000e-02 eta: 19:02:28 time: 0.193 data_time: 0.009 memory: 5148 grad_norm: 5.7779 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1192 loss: 2.1192 2022/06/28 02:22:03 - mmengine - INFO - Epoch(train) [32][760/3757] lr: 1.000e-02 eta: 19:02:22 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.6397 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0841 loss: 2.0841 2022/06/28 02:22:08 - mmengine - INFO - Epoch(train) [32][780/3757] lr: 1.000e-02 eta: 19:02:16 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 5.9053 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6339 loss: 1.6339 2022/06/28 02:22:14 - mmengine - INFO - Epoch(train) [32][800/3757] lr: 1.000e-02 eta: 19:02:14 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 6.0839 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4107 loss: 2.4107 2022/06/28 02:22:19 - mmengine - INFO - Epoch(train) [32][820/3757] lr: 1.000e-02 eta: 19:02:06 time: 0.195 data_time: 0.014 memory: 5148 grad_norm: 5.2889 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3343 loss: 2.3343 2022/06/28 02:22:23 - mmengine - INFO - Epoch(train) [32][840/3757] lr: 1.000e-02 eta: 19:01:59 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.5316 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5768 loss: 2.5768 2022/06/28 02:22:30 - mmengine - INFO - Epoch(train) [32][860/3757] lr: 1.000e-02 eta: 19:01:57 time: 0.203 data_time: 0.016 memory: 5148 grad_norm: 5.6529 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6990 loss: 1.6990 2022/06/28 02:22:35 - mmengine - INFO - Epoch(train) [32][880/3757] lr: 1.000e-02 eta: 19:01:51 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 5.7759 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8583 loss: 1.8583 2022/06/28 02:22:40 - mmengine - INFO - Epoch(train) [32][900/3757] lr: 1.000e-02 eta: 19:01:46 time: 0.194 data_time: 0.006 memory: 5148 grad_norm: 5.5531 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7324 loss: 1.7324 2022/06/28 02:22:46 - mmengine - INFO - Epoch(train) [32][920/3757] lr: 1.000e-02 eta: 19:01:41 time: 0.215 data_time: 0.017 memory: 5148 grad_norm: 5.3235 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0243 loss: 2.0243 2022/06/28 02:22:51 - mmengine - INFO - Epoch(train) [32][940/3757] lr: 1.000e-02 eta: 19:01:36 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 5.3210 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2826 loss: 2.2826 2022/06/28 02:22:56 - mmengine - INFO - Epoch(train) [32][960/3757] lr: 1.000e-02 eta: 19:01:30 time: 0.194 data_time: 0.013 memory: 5148 grad_norm: 6.0529 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9347 loss: 1.9347 2022/06/28 02:23:02 - mmengine - INFO - Epoch(train) [32][980/3757] lr: 1.000e-02 eta: 19:01:25 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 5.1671 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0194 loss: 2.0194 2022/06/28 02:23:07 - mmengine - INFO - Epoch(train) [32][1000/3757] lr: 1.000e-02 eta: 19:01:20 time: 0.206 data_time: 0.006 memory: 5148 grad_norm: 5.5981 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8478 loss: 1.8478 2022/06/28 02:23:12 - mmengine - INFO - Epoch(train) [32][1020/3757] lr: 1.000e-02 eta: 19:01:13 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.2206 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2989 loss: 2.2989 2022/06/28 02:23:17 - mmengine - INFO - Epoch(train) [32][1040/3757] lr: 1.000e-02 eta: 19:01:09 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.6034 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0090 loss: 2.0090 2022/06/28 02:23:23 - mmengine - INFO - Epoch(train) [32][1060/3757] lr: 1.000e-02 eta: 19:01:05 time: 0.213 data_time: 0.010 memory: 5148 grad_norm: 5.2029 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3102 loss: 2.3102 2022/06/28 02:23:28 - mmengine - INFO - Epoch(train) [32][1080/3757] lr: 1.000e-02 eta: 19:00:58 time: 0.194 data_time: 0.006 memory: 5148 grad_norm: 5.0066 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7842 loss: 1.7842 2022/06/28 02:23:34 - mmengine - INFO - Epoch(train) [32][1100/3757] lr: 1.000e-02 eta: 19:00:55 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.1934 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.8407 loss: 1.8407 2022/06/28 02:23:40 - mmengine - INFO - Epoch(train) [32][1120/3757] lr: 1.000e-02 eta: 19:00:50 time: 0.209 data_time: 0.010 memory: 5148 grad_norm: 5.4287 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6218 loss: 1.6218 2022/06/28 02:23:44 - mmengine - INFO - Epoch(train) [32][1140/3757] lr: 1.000e-02 eta: 19:00:43 time: 0.223 data_time: 0.043 memory: 5148 grad_norm: 5.7466 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0350 loss: 2.0350 2022/06/28 02:23:50 - mmengine - INFO - Epoch(train) [32][1160/3757] lr: 1.000e-02 eta: 19:00:39 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 5.5217 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4172 loss: 1.4172 2022/06/28 02:23:55 - mmengine - INFO - Epoch(train) [32][1180/3757] lr: 1.000e-02 eta: 19:00:33 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 5.5637 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0954 loss: 2.0954 2022/06/28 02:24:00 - mmengine - INFO - Epoch(train) [32][1200/3757] lr: 1.000e-02 eta: 19:00:27 time: 0.227 data_time: 0.013 memory: 5148 grad_norm: 4.7410 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7538 loss: 1.7538 2022/06/28 02:24:06 - mmengine - INFO - Epoch(train) [32][1220/3757] lr: 1.000e-02 eta: 19:00:22 time: 0.194 data_time: 0.012 memory: 5148 grad_norm: 6.7100 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3208 loss: 2.3208 2022/06/28 02:24:11 - mmengine - INFO - Epoch(train) [32][1240/3757] lr: 1.000e-02 eta: 19:00:17 time: 0.193 data_time: 0.011 memory: 5148 grad_norm: 4.9194 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4287 loss: 2.4287 2022/06/28 02:24:16 - mmengine - INFO - Epoch(train) [32][1260/3757] lr: 1.000e-02 eta: 19:00:11 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 4.6907 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8875 loss: 1.8875 2022/06/28 02:24:22 - mmengine - INFO - Epoch(train) [32][1280/3757] lr: 1.000e-02 eta: 19:00:07 time: 0.195 data_time: 0.015 memory: 5148 grad_norm: 5.2083 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7655 loss: 1.7655 2022/06/28 02:24:27 - mmengine - INFO - Epoch(train) [32][1300/3757] lr: 1.000e-02 eta: 19:00:02 time: 0.206 data_time: 0.009 memory: 5148 grad_norm: 5.9684 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9434 loss: 1.9434 2022/06/28 02:24:32 - mmengine - INFO - Epoch(train) [32][1320/3757] lr: 1.000e-02 eta: 18:59:56 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.8887 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1814 loss: 2.1814 2022/06/28 02:24:38 - mmengine - INFO - Epoch(train) [32][1340/3757] lr: 1.000e-02 eta: 18:59:50 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.0735 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2598 loss: 2.2598 2022/06/28 02:24:43 - mmengine - INFO - Epoch(train) [32][1360/3757] lr: 1.000e-02 eta: 18:59:45 time: 0.198 data_time: 0.013 memory: 5148 grad_norm: 6.2422 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9837 loss: 1.9837 2022/06/28 02:24:48 - mmengine - INFO - Epoch(train) [32][1380/3757] lr: 1.000e-02 eta: 18:59:39 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.6311 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9999 loss: 1.9999 2022/06/28 02:24:54 - mmengine - INFO - Epoch(train) [32][1400/3757] lr: 1.000e-02 eta: 18:59:34 time: 0.208 data_time: 0.025 memory: 5148 grad_norm: 5.8784 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9247 loss: 1.9247 2022/06/28 02:24:59 - mmengine - INFO - Epoch(train) [32][1420/3757] lr: 1.000e-02 eta: 18:59:29 time: 0.189 data_time: 0.008 memory: 5148 grad_norm: 6.0923 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0350 loss: 2.0350 2022/06/28 02:25:04 - mmengine - INFO - Epoch(train) [32][1440/3757] lr: 1.000e-02 eta: 18:59:24 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 4.5386 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0553 loss: 2.0553 2022/06/28 02:25:10 - mmengine - INFO - Epoch(train) [32][1460/3757] lr: 1.000e-02 eta: 18:59:19 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 5.2558 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0780 loss: 2.0780 2022/06/28 02:25:15 - mmengine - INFO - Epoch(train) [32][1480/3757] lr: 1.000e-02 eta: 18:59:13 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.5864 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5294 loss: 2.5294 2022/06/28 02:25:19 - mmengine - INFO - Epoch(train) [32][1500/3757] lr: 1.000e-02 eta: 18:59:06 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 6.3866 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3350 loss: 2.3350 2022/06/28 02:25:25 - mmengine - INFO - Epoch(train) [32][1520/3757] lr: 1.000e-02 eta: 18:59:02 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.0330 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8899 loss: 1.8899 2022/06/28 02:25:29 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 02:25:31 - mmengine - INFO - Epoch(train) [32][1540/3757] lr: 1.000e-02 eta: 18:58:57 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.5354 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7314 loss: 1.7314 2022/06/28 02:25:36 - mmengine - INFO - Epoch(train) [32][1560/3757] lr: 1.000e-02 eta: 18:58:52 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.1833 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4873 loss: 1.4873 2022/06/28 02:25:41 - mmengine - INFO - Epoch(train) [32][1580/3757] lr: 1.000e-02 eta: 18:58:46 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.3002 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9575 loss: 1.9575 2022/06/28 02:25:47 - mmengine - INFO - Epoch(train) [32][1600/3757] lr: 1.000e-02 eta: 18:58:42 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.2960 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1928 loss: 2.1928 2022/06/28 02:25:52 - mmengine - INFO - Epoch(train) [32][1620/3757] lr: 1.000e-02 eta: 18:58:36 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 6.6169 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3716 loss: 2.3716 2022/06/28 02:25:58 - mmengine - INFO - Epoch(train) [32][1640/3757] lr: 1.000e-02 eta: 18:58:31 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.5828 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0071 loss: 2.0071 2022/06/28 02:26:03 - mmengine - INFO - Epoch(train) [32][1660/3757] lr: 1.000e-02 eta: 18:58:27 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 5.8112 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7479 loss: 2.7479 2022/06/28 02:26:08 - mmengine - INFO - Epoch(train) [32][1680/3757] lr: 1.000e-02 eta: 18:58:20 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.5320 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9485 loss: 1.9485 2022/06/28 02:26:14 - mmengine - INFO - Epoch(train) [32][1700/3757] lr: 1.000e-02 eta: 18:58:17 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.4040 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0674 loss: 2.0674 2022/06/28 02:26:19 - mmengine - INFO - Epoch(train) [32][1720/3757] lr: 1.000e-02 eta: 18:58:11 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 5.7037 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.2328 loss: 2.2328 2022/06/28 02:26:24 - mmengine - INFO - Epoch(train) [32][1740/3757] lr: 1.000e-02 eta: 18:58:05 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.5288 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1157 loss: 2.1157 2022/06/28 02:26:30 - mmengine - INFO - Epoch(train) [32][1760/3757] lr: 1.000e-02 eta: 18:58:00 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 5.0857 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9169 loss: 1.9169 2022/06/28 02:26:35 - mmengine - INFO - Epoch(train) [32][1780/3757] lr: 1.000e-02 eta: 18:57:55 time: 0.213 data_time: 0.011 memory: 5148 grad_norm: 5.2248 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1009 loss: 2.1009 2022/06/28 02:26:41 - mmengine - INFO - Epoch(train) [32][1800/3757] lr: 1.000e-02 eta: 18:57:50 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 5.9810 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9724 loss: 1.9724 2022/06/28 02:26:47 - mmengine - INFO - Epoch(train) [32][1820/3757] lr: 1.000e-02 eta: 18:57:47 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 6.4397 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0256 loss: 2.0256 2022/06/28 02:26:51 - mmengine - INFO - Epoch(train) [32][1840/3757] lr: 1.000e-02 eta: 18:57:39 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 4.6334 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0034 loss: 2.0034 2022/06/28 02:26:57 - mmengine - INFO - Epoch(train) [32][1860/3757] lr: 1.000e-02 eta: 18:57:35 time: 0.215 data_time: 0.008 memory: 5148 grad_norm: 5.6763 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9187 loss: 1.9187 2022/06/28 02:27:02 - mmengine - INFO - Epoch(train) [32][1880/3757] lr: 1.000e-02 eta: 18:57:29 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 6.0423 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0115 loss: 2.0115 2022/06/28 02:27:07 - mmengine - INFO - Epoch(train) [32][1900/3757] lr: 1.000e-02 eta: 18:57:23 time: 0.197 data_time: 0.016 memory: 5148 grad_norm: 5.5187 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9469 loss: 1.9469 2022/06/28 02:27:12 - mmengine - INFO - Epoch(train) [32][1920/3757] lr: 1.000e-02 eta: 18:57:17 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 6.6634 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8097 loss: 1.8097 2022/06/28 02:27:18 - mmengine - INFO - Epoch(train) [32][1940/3757] lr: 1.000e-02 eta: 18:57:14 time: 0.213 data_time: 0.009 memory: 5148 grad_norm: 5.9660 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6868 loss: 1.6868 2022/06/28 02:27:23 - mmengine - INFO - Epoch(train) [32][1960/3757] lr: 1.000e-02 eta: 18:57:08 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 5.6843 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1076 loss: 2.1076 2022/06/28 02:27:29 - mmengine - INFO - Epoch(train) [32][1980/3757] lr: 1.000e-02 eta: 18:57:03 time: 0.196 data_time: 0.006 memory: 5148 grad_norm: 5.9652 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8605 loss: 1.8605 2022/06/28 02:27:35 - mmengine - INFO - Epoch(train) [32][2000/3757] lr: 1.000e-02 eta: 18:56:59 time: 0.209 data_time: 0.029 memory: 5148 grad_norm: 6.1534 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2728 loss: 2.2728 2022/06/28 02:27:39 - mmengine - INFO - Epoch(train) [32][2020/3757] lr: 1.000e-02 eta: 18:56:51 time: 0.190 data_time: 0.010 memory: 5148 grad_norm: 4.9562 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6640 loss: 1.6640 2022/06/28 02:27:44 - mmengine - INFO - Epoch(train) [32][2040/3757] lr: 1.000e-02 eta: 18:56:46 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.4111 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9257 loss: 1.9257 2022/06/28 02:27:50 - mmengine - INFO - Epoch(train) [32][2060/3757] lr: 1.000e-02 eta: 18:56:41 time: 0.205 data_time: 0.015 memory: 5148 grad_norm: 5.6723 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9385 loss: 1.9385 2022/06/28 02:27:55 - mmengine - INFO - Epoch(train) [32][2080/3757] lr: 1.000e-02 eta: 18:56:36 time: 0.193 data_time: 0.018 memory: 5148 grad_norm: 5.7572 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0716 loss: 2.0716 2022/06/28 02:28:00 - mmengine - INFO - Epoch(train) [32][2100/3757] lr: 1.000e-02 eta: 18:56:30 time: 0.194 data_time: 0.012 memory: 5148 grad_norm: 4.9404 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0522 loss: 2.0522 2022/06/28 02:28:05 - mmengine - INFO - Epoch(train) [32][2120/3757] lr: 1.000e-02 eta: 18:56:25 time: 0.197 data_time: 0.013 memory: 5148 grad_norm: 5.2218 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2692 loss: 2.2692 2022/06/28 02:28:10 - mmengine - INFO - Epoch(train) [32][2140/3757] lr: 1.000e-02 eta: 18:56:19 time: 0.194 data_time: 0.011 memory: 5148 grad_norm: 5.9645 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9281 loss: 1.9281 2022/06/28 02:28:16 - mmengine - INFO - Epoch(train) [32][2160/3757] lr: 1.000e-02 eta: 18:56:14 time: 0.201 data_time: 0.015 memory: 5148 grad_norm: 5.6292 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0070 loss: 2.0070 2022/06/28 02:28:21 - mmengine - INFO - Epoch(train) [32][2180/3757] lr: 1.000e-02 eta: 18:56:09 time: 0.204 data_time: 0.009 memory: 5148 grad_norm: 5.9226 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8412 loss: 1.8412 2022/06/28 02:28:26 - mmengine - INFO - Epoch(train) [32][2200/3757] lr: 1.000e-02 eta: 18:56:02 time: 0.192 data_time: 0.015 memory: 5148 grad_norm: 5.1926 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1863 loss: 2.1863 2022/06/28 02:28:32 - mmengine - INFO - Epoch(train) [32][2220/3757] lr: 1.000e-02 eta: 18:55:58 time: 0.204 data_time: 0.012 memory: 5148 grad_norm: 6.0165 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9720 loss: 1.9720 2022/06/28 02:28:37 - mmengine - INFO - Epoch(train) [32][2240/3757] lr: 1.000e-02 eta: 18:55:52 time: 0.237 data_time: 0.013 memory: 5148 grad_norm: 5.8886 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8758 loss: 1.8758 2022/06/28 02:28:42 - mmengine - INFO - Epoch(train) [32][2260/3757] lr: 1.000e-02 eta: 18:55:47 time: 0.203 data_time: 0.013 memory: 5148 grad_norm: 6.2015 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2353 loss: 2.2353 2022/06/28 02:28:48 - mmengine - INFO - Epoch(train) [32][2280/3757] lr: 1.000e-02 eta: 18:55:42 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 5.0417 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2924 loss: 1.2924 2022/06/28 02:28:53 - mmengine - INFO - Epoch(train) [32][2300/3757] lr: 1.000e-02 eta: 18:55:37 time: 0.202 data_time: 0.012 memory: 5148 grad_norm: 5.7071 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1383 loss: 2.1383 2022/06/28 02:28:58 - mmengine - INFO - Epoch(train) [32][2320/3757] lr: 1.000e-02 eta: 18:55:31 time: 0.197 data_time: 0.014 memory: 5148 grad_norm: 5.2757 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0191 loss: 2.0191 2022/06/28 02:29:03 - mmengine - INFO - Epoch(train) [32][2340/3757] lr: 1.000e-02 eta: 18:55:25 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.6712 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9156 loss: 1.9156 2022/06/28 02:29:09 - mmengine - INFO - Epoch(train) [32][2360/3757] lr: 1.000e-02 eta: 18:55:20 time: 0.190 data_time: 0.011 memory: 5148 grad_norm: 5.3900 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0840 loss: 2.0840 2022/06/28 02:29:15 - mmengine - INFO - Epoch(train) [32][2380/3757] lr: 1.000e-02 eta: 18:55:16 time: 0.206 data_time: 0.026 memory: 5148 grad_norm: 5.4336 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6461 loss: 1.6461 2022/06/28 02:29:19 - mmengine - INFO - Epoch(train) [32][2400/3757] lr: 1.000e-02 eta: 18:55:09 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 5.1765 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1344 loss: 2.1344 2022/06/28 02:29:25 - mmengine - INFO - Epoch(train) [32][2420/3757] lr: 1.000e-02 eta: 18:55:05 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.1556 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3003 loss: 2.3003 2022/06/28 02:29:30 - mmengine - INFO - Epoch(train) [32][2440/3757] lr: 1.000e-02 eta: 18:55:00 time: 0.212 data_time: 0.030 memory: 5148 grad_norm: 5.5374 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1639 loss: 2.1639 2022/06/28 02:29:35 - mmengine - INFO - Epoch(train) [32][2460/3757] lr: 1.000e-02 eta: 18:54:54 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 5.7165 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8175 loss: 1.8175 2022/06/28 02:29:41 - mmengine - INFO - Epoch(train) [32][2480/3757] lr: 1.000e-02 eta: 18:54:49 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 6.0254 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1315 loss: 2.1315 2022/06/28 02:29:46 - mmengine - INFO - Epoch(train) [32][2500/3757] lr: 1.000e-02 eta: 18:54:43 time: 0.207 data_time: 0.012 memory: 5148 grad_norm: 6.2276 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2639 loss: 2.2639 2022/06/28 02:29:52 - mmengine - INFO - Epoch(train) [32][2520/3757] lr: 1.000e-02 eta: 18:54:39 time: 0.210 data_time: 0.010 memory: 5148 grad_norm: 5.6323 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1246 loss: 2.1246 2022/06/28 02:29:56 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 02:29:58 - mmengine - INFO - Epoch(train) [32][2540/3757] lr: 1.000e-02 eta: 18:54:35 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 6.2998 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2590 loss: 2.2590 2022/06/28 02:30:02 - mmengine - INFO - Epoch(train) [32][2560/3757] lr: 1.000e-02 eta: 18:54:27 time: 0.211 data_time: 0.013 memory: 5148 grad_norm: 5.7939 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3122 loss: 2.3122 2022/06/28 02:30:08 - mmengine - INFO - Epoch(train) [32][2580/3757] lr: 1.000e-02 eta: 18:54:23 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 5.2660 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1868 loss: 2.1868 2022/06/28 02:30:14 - mmengine - INFO - Epoch(train) [32][2600/3757] lr: 1.000e-02 eta: 18:54:20 time: 0.222 data_time: 0.020 memory: 5148 grad_norm: 5.2215 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1919 loss: 2.1919 2022/06/28 02:30:18 - mmengine - INFO - Epoch(train) [32][2620/3757] lr: 1.000e-02 eta: 18:54:12 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 5.4547 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3386 loss: 2.3386 2022/06/28 02:30:24 - mmengine - INFO - Epoch(train) [32][2640/3757] lr: 1.000e-02 eta: 18:54:08 time: 0.214 data_time: 0.008 memory: 5148 grad_norm: 5.7662 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.0571 loss: 2.0571 2022/06/28 02:30:30 - mmengine - INFO - Epoch(train) [32][2660/3757] lr: 1.000e-02 eta: 18:54:03 time: 0.196 data_time: 0.022 memory: 5148 grad_norm: 5.8808 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4253 loss: 2.4253 2022/06/28 02:30:35 - mmengine - INFO - Epoch(train) [32][2680/3757] lr: 1.000e-02 eta: 18:53:58 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.4182 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1737 loss: 2.1737 2022/06/28 02:30:40 - mmengine - INFO - Epoch(train) [32][2700/3757] lr: 1.000e-02 eta: 18:53:52 time: 0.214 data_time: 0.006 memory: 5148 grad_norm: 5.8087 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7867 loss: 1.7867 2022/06/28 02:30:46 - mmengine - INFO - Epoch(train) [32][2720/3757] lr: 1.000e-02 eta: 18:53:48 time: 0.200 data_time: 0.026 memory: 5148 grad_norm: 5.9037 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9084 loss: 1.9084 2022/06/28 02:30:51 - mmengine - INFO - Epoch(train) [32][2740/3757] lr: 1.000e-02 eta: 18:53:41 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 5.7671 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8858 loss: 1.8858 2022/06/28 02:30:56 - mmengine - INFO - Epoch(train) [32][2760/3757] lr: 1.000e-02 eta: 18:53:37 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 4.9692 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6728 loss: 1.6728 2022/06/28 02:31:02 - mmengine - INFO - Epoch(train) [32][2780/3757] lr: 1.000e-02 eta: 18:53:32 time: 0.217 data_time: 0.033 memory: 5148 grad_norm: 5.3263 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2129 loss: 2.2129 2022/06/28 02:31:07 - mmengine - INFO - Epoch(train) [32][2800/3757] lr: 1.000e-02 eta: 18:53:26 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 5.5296 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9494 loss: 1.9494 2022/06/28 02:31:12 - mmengine - INFO - Epoch(train) [32][2820/3757] lr: 1.000e-02 eta: 18:53:21 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.3254 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1351 loss: 2.1351 2022/06/28 02:31:18 - mmengine - INFO - Epoch(train) [32][2840/3757] lr: 1.000e-02 eta: 18:53:16 time: 0.211 data_time: 0.034 memory: 5148 grad_norm: 4.8134 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2988 loss: 2.2988 2022/06/28 02:31:23 - mmengine - INFO - Epoch(train) [32][2860/3757] lr: 1.000e-02 eta: 18:53:10 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.7050 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1003 loss: 2.1003 2022/06/28 02:31:28 - mmengine - INFO - Epoch(train) [32][2880/3757] lr: 1.000e-02 eta: 18:53:05 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 6.3843 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9318 loss: 1.9318 2022/06/28 02:31:34 - mmengine - INFO - Epoch(train) [32][2900/3757] lr: 1.000e-02 eta: 18:53:00 time: 0.293 data_time: 0.030 memory: 5148 grad_norm: 5.7494 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2591 loss: 2.2591 2022/06/28 02:31:39 - mmengine - INFO - Epoch(train) [32][2920/3757] lr: 1.000e-02 eta: 18:52:54 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.9818 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1456 loss: 2.1456 2022/06/28 02:31:44 - mmengine - INFO - Epoch(train) [32][2940/3757] lr: 1.000e-02 eta: 18:52:50 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 5.5317 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9613 loss: 1.9613 2022/06/28 02:31:50 - mmengine - INFO - Epoch(train) [32][2960/3757] lr: 1.000e-02 eta: 18:52:44 time: 0.212 data_time: 0.036 memory: 5148 grad_norm: 5.4493 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9062 loss: 1.9062 2022/06/28 02:31:56 - mmengine - INFO - Epoch(train) [32][2980/3757] lr: 1.000e-02 eta: 18:52:41 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.4079 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9014 loss: 1.9014 2022/06/28 02:32:00 - mmengine - INFO - Epoch(train) [32][3000/3757] lr: 1.000e-02 eta: 18:52:33 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.3325 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0312 loss: 2.0312 2022/06/28 02:32:05 - mmengine - INFO - Epoch(train) [32][3020/3757] lr: 1.000e-02 eta: 18:52:26 time: 0.200 data_time: 0.019 memory: 5148 grad_norm: 5.9106 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8616 loss: 1.8616 2022/06/28 02:32:10 - mmengine - INFO - Epoch(train) [32][3040/3757] lr: 1.000e-02 eta: 18:52:21 time: 0.211 data_time: 0.013 memory: 5148 grad_norm: 5.3181 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0975 loss: 2.0975 2022/06/28 02:32:16 - mmengine - INFO - Epoch(train) [32][3060/3757] lr: 1.000e-02 eta: 18:52:17 time: 0.201 data_time: 0.013 memory: 5148 grad_norm: 4.9639 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0326 loss: 2.0326 2022/06/28 02:32:21 - mmengine - INFO - Epoch(train) [32][3080/3757] lr: 1.000e-02 eta: 18:52:12 time: 0.205 data_time: 0.025 memory: 5148 grad_norm: 5.4259 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0902 loss: 2.0902 2022/06/28 02:32:27 - mmengine - INFO - Epoch(train) [32][3100/3757] lr: 1.000e-02 eta: 18:52:07 time: 0.450 data_time: 0.017 memory: 5148 grad_norm: 6.6055 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2488 loss: 2.2488 2022/06/28 02:32:32 - mmengine - INFO - Epoch(train) [32][3120/3757] lr: 1.000e-02 eta: 18:52:01 time: 0.202 data_time: 0.022 memory: 5148 grad_norm: 6.1585 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0439 loss: 2.0439 2022/06/28 02:32:38 - mmengine - INFO - Epoch(train) [32][3140/3757] lr: 1.000e-02 eta: 18:51:57 time: 0.205 data_time: 0.024 memory: 5148 grad_norm: 6.0497 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2658 loss: 2.2658 2022/06/28 02:32:42 - mmengine - INFO - Epoch(train) [32][3160/3757] lr: 1.000e-02 eta: 18:51:50 time: 0.536 data_time: 0.010 memory: 5148 grad_norm: 5.1519 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1282 loss: 2.1282 2022/06/28 02:32:47 - mmengine - INFO - Epoch(train) [32][3180/3757] lr: 1.000e-02 eta: 18:51:45 time: 0.206 data_time: 0.017 memory: 5148 grad_norm: 5.8025 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7596 loss: 1.7596 2022/06/28 02:32:53 - mmengine - INFO - Epoch(train) [32][3200/3757] lr: 1.000e-02 eta: 18:51:40 time: 0.202 data_time: 0.028 memory: 5148 grad_norm: 5.5385 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2849 loss: 2.2849 2022/06/28 02:32:59 - mmengine - INFO - Epoch(train) [32][3220/3757] lr: 1.000e-02 eta: 18:51:35 time: 0.999 data_time: 0.010 memory: 5148 grad_norm: 5.4479 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1634 loss: 2.1634 2022/06/28 02:33:04 - mmengine - INFO - Epoch(train) [32][3240/3757] lr: 1.000e-02 eta: 18:51:29 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.6534 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.0948 loss: 2.0948 2022/06/28 02:33:10 - mmengine - INFO - Epoch(train) [32][3260/3757] lr: 1.000e-02 eta: 18:51:25 time: 0.201 data_time: 0.019 memory: 5148 grad_norm: 5.5959 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9057 loss: 1.9057 2022/06/28 02:33:15 - mmengine - INFO - Epoch(train) [32][3280/3757] lr: 1.000e-02 eta: 18:51:21 time: 0.548 data_time: 0.011 memory: 5148 grad_norm: 5.8718 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0869 loss: 2.0869 2022/06/28 02:33:20 - mmengine - INFO - Epoch(train) [32][3300/3757] lr: 1.000e-02 eta: 18:51:14 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 5.0366 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9387 loss: 1.9387 2022/06/28 02:33:26 - mmengine - INFO - Epoch(train) [32][3320/3757] lr: 1.000e-02 eta: 18:51:10 time: 0.210 data_time: 0.020 memory: 5148 grad_norm: 6.1372 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4696 loss: 1.4696 2022/06/28 02:33:31 - mmengine - INFO - Epoch(train) [32][3340/3757] lr: 1.000e-02 eta: 18:51:05 time: 0.854 data_time: 0.015 memory: 5148 grad_norm: 5.7978 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2358 loss: 2.2358 2022/06/28 02:33:37 - mmengine - INFO - Epoch(train) [32][3360/3757] lr: 1.000e-02 eta: 18:51:00 time: 0.207 data_time: 0.011 memory: 5148 grad_norm: 6.1917 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0918 loss: 2.0918 2022/06/28 02:33:41 - mmengine - INFO - Epoch(train) [32][3380/3757] lr: 1.000e-02 eta: 18:50:53 time: 0.197 data_time: 0.013 memory: 5148 grad_norm: 5.5764 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1461 loss: 2.1461 2022/06/28 02:33:46 - mmengine - INFO - Epoch(train) [32][3400/3757] lr: 1.000e-02 eta: 18:50:47 time: 0.196 data_time: 0.006 memory: 5148 grad_norm: 6.0984 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2738 loss: 2.2738 2022/06/28 02:33:52 - mmengine - INFO - Epoch(train) [32][3420/3757] lr: 1.000e-02 eta: 18:50:42 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 5.6941 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9615 loss: 1.9615 2022/06/28 02:33:57 - mmengine - INFO - Epoch(train) [32][3440/3757] lr: 1.000e-02 eta: 18:50:38 time: 0.205 data_time: 0.012 memory: 5148 grad_norm: 5.7509 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2661 loss: 2.2661 2022/06/28 02:34:02 - mmengine - INFO - Epoch(train) [32][3460/3757] lr: 1.000e-02 eta: 18:50:30 time: 0.224 data_time: 0.007 memory: 5148 grad_norm: 5.1588 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9732 loss: 1.9732 2022/06/28 02:34:08 - mmengine - INFO - Epoch(train) [32][3480/3757] lr: 1.000e-02 eta: 18:50:26 time: 0.694 data_time: 0.007 memory: 5148 grad_norm: 5.6967 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9303 loss: 1.9303 2022/06/28 02:34:13 - mmengine - INFO - Epoch(train) [32][3500/3757] lr: 1.000e-02 eta: 18:50:21 time: 0.205 data_time: 0.013 memory: 5148 grad_norm: 5.5914 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7427 loss: 1.7427 2022/06/28 02:34:19 - mmengine - INFO - Epoch(train) [32][3520/3757] lr: 1.000e-02 eta: 18:50:16 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.2504 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1823 loss: 2.1823 2022/06/28 02:34:21 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 02:34:24 - mmengine - INFO - Epoch(train) [32][3540/3757] lr: 1.000e-02 eta: 18:50:11 time: 1.252 data_time: 0.007 memory: 5148 grad_norm: 6.4127 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1708 loss: 2.1708 2022/06/28 02:34:29 - mmengine - INFO - Epoch(train) [32][3560/3757] lr: 1.000e-02 eta: 18:50:05 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.3253 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3872 loss: 2.3872 2022/06/28 02:34:35 - mmengine - INFO - Epoch(train) [32][3580/3757] lr: 1.000e-02 eta: 18:50:01 time: 0.197 data_time: 0.013 memory: 5148 grad_norm: 5.2403 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7479 loss: 1.7479 2022/06/28 02:34:40 - mmengine - INFO - Epoch(train) [32][3600/3757] lr: 1.000e-02 eta: 18:49:56 time: 0.775 data_time: 0.005 memory: 5148 grad_norm: 5.2674 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0598 loss: 2.0598 2022/06/28 02:34:45 - mmengine - INFO - Epoch(train) [32][3620/3757] lr: 1.000e-02 eta: 18:49:49 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.2999 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.3680 loss: 2.3680 2022/06/28 02:34:50 - mmengine - INFO - Epoch(train) [32][3640/3757] lr: 1.000e-02 eta: 18:49:44 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 5.4826 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8474 loss: 1.8474 2022/06/28 02:34:56 - mmengine - INFO - Epoch(train) [32][3660/3757] lr: 1.000e-02 eta: 18:49:40 time: 0.365 data_time: 0.007 memory: 5148 grad_norm: 5.4697 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1112 loss: 2.1112 2022/06/28 02:35:01 - mmengine - INFO - Epoch(train) [32][3680/3757] lr: 1.000e-02 eta: 18:49:34 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.9942 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9817 loss: 1.9817 2022/06/28 02:35:07 - mmengine - INFO - Epoch(train) [32][3700/3757] lr: 1.000e-02 eta: 18:49:30 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 6.1926 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9128 loss: 1.9128 2022/06/28 02:35:12 - mmengine - INFO - Epoch(train) [32][3720/3757] lr: 1.000e-02 eta: 18:49:25 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.3653 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3250 loss: 2.3250 2022/06/28 02:35:17 - mmengine - INFO - Epoch(train) [32][3740/3757] lr: 1.000e-02 eta: 18:49:19 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.2620 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1743 loss: 2.1743 2022/06/28 02:35:21 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 02:35:27 - mmengine - INFO - Epoch(val) [32][20/310] eta: 0:01:05 time: 0.102 data_time: 0.031 memory: 5148 2022/06/28 02:35:32 - mmengine - INFO - Epoch(val) [32][40/310] eta: 0:01:00 time: 0.085 data_time: 0.008 memory: 1367 2022/06/28 02:35:38 - mmengine - INFO - Epoch(val) [32][60/310] eta: 0:00:54 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 02:35:42 - mmengine - INFO - Epoch(val) [32][80/310] eta: 0:00:49 time: 0.105 data_time: 0.033 memory: 1367 2022/06/28 02:35:49 - mmengine - INFO - Epoch(val) [32][100/310] eta: 0:00:49 time: 0.087 data_time: 0.005 memory: 1367 2022/06/28 02:35:53 - mmengine - INFO - Epoch(val) [32][120/310] eta: 0:00:47 time: 0.446 data_time: 0.375 memory: 1367 2022/06/28 02:35:59 - mmengine - INFO - Epoch(val) [32][140/310] eta: 0:00:48 time: 0.148 data_time: 0.067 memory: 1367 2022/06/28 02:36:05 - mmengine - INFO - Epoch(val) [32][160/310] eta: 0:00:44 time: 0.846 data_time: 0.773 memory: 1367 2022/06/28 02:36:10 - mmengine - INFO - Epoch(val) [32][180/310] eta: 0:00:41 time: 0.488 data_time: 0.417 memory: 1367 2022/06/28 02:36:15 - mmengine - INFO - Epoch(val) [32][200/310] eta: 0:00:27 time: 0.227 data_time: 0.155 memory: 1367 2022/06/28 02:36:21 - mmengine - INFO - Epoch(val) [32][220/310] eta: 0:00:32 time: 0.091 data_time: 0.005 memory: 1367 2022/06/28 02:36:25 - mmengine - INFO - Epoch(val) [32][240/310] eta: 0:00:15 time: 0.079 data_time: 0.008 memory: 1367 2022/06/28 02:36:31 - mmengine - INFO - Epoch(val) [32][260/310] eta: 0:00:17 time: 0.087 data_time: 0.005 memory: 1367 2022/06/28 02:36:36 - mmengine - INFO - Epoch(val) [32][280/310] eta: 0:00:06 time: 0.149 data_time: 0.078 memory: 1367 2022/06/28 02:36:41 - mmengine - INFO - Epoch(val) [32][300/310] eta: 0:00:03 time: 0.117 data_time: 0.044 memory: 1367 2022/06/28 02:36:45 - mmengine - INFO - Epoch(val) [32][310/310] acc/top1: 0.5543 acc/top5: 0.7963 acc/mean1: 0.5542 2022/06/28 02:36:53 - mmengine - INFO - Epoch(train) [33][20/3757] lr: 1.000e-02 eta: 18:49:10 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.7112 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9482 loss: 1.9482 2022/06/28 02:36:59 - mmengine - INFO - Epoch(train) [33][40/3757] lr: 1.000e-02 eta: 18:49:06 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 4.6281 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9349 loss: 1.9349 2022/06/28 02:37:04 - mmengine - INFO - Epoch(train) [33][60/3757] lr: 1.000e-02 eta: 18:48:59 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.6388 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7674 loss: 1.7674 2022/06/28 02:37:09 - mmengine - INFO - Epoch(train) [33][80/3757] lr: 1.000e-02 eta: 18:48:55 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.4947 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1407 loss: 2.1407 2022/06/28 02:37:15 - mmengine - INFO - Epoch(train) [33][100/3757] lr: 1.000e-02 eta: 18:48:51 time: 0.193 data_time: 0.011 memory: 5148 grad_norm: 5.8642 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7716 loss: 1.7716 2022/06/28 02:37:20 - mmengine - INFO - Epoch(train) [33][120/3757] lr: 1.000e-02 eta: 18:48:44 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 6.2133 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0885 loss: 2.0885 2022/06/28 02:37:26 - mmengine - INFO - Epoch(train) [33][140/3757] lr: 1.000e-02 eta: 18:48:40 time: 0.194 data_time: 0.011 memory: 5148 grad_norm: 5.6168 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1807 loss: 2.1807 2022/06/28 02:37:31 - mmengine - INFO - Epoch(train) [33][160/3757] lr: 1.000e-02 eta: 18:48:35 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 5.6047 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7191 loss: 1.7191 2022/06/28 02:37:36 - mmengine - INFO - Epoch(train) [33][180/3757] lr: 1.000e-02 eta: 18:48:29 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 5.5662 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4947 loss: 2.4947 2022/06/28 02:37:42 - mmengine - INFO - Epoch(train) [33][200/3757] lr: 1.000e-02 eta: 18:48:24 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.7803 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9028 loss: 1.9028 2022/06/28 02:37:47 - mmengine - INFO - Epoch(train) [33][220/3757] lr: 1.000e-02 eta: 18:48:18 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.7498 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1951 loss: 2.1951 2022/06/28 02:37:52 - mmengine - INFO - Epoch(train) [33][240/3757] lr: 1.000e-02 eta: 18:48:12 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 6.8384 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.0505 loss: 2.0505 2022/06/28 02:37:58 - mmengine - INFO - Epoch(train) [33][260/3757] lr: 1.000e-02 eta: 18:48:07 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.5092 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9087 loss: 1.9087 2022/06/28 02:38:03 - mmengine - INFO - Epoch(train) [33][280/3757] lr: 1.000e-02 eta: 18:48:01 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.3523 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1831 loss: 2.1831 2022/06/28 02:38:08 - mmengine - INFO - Epoch(train) [33][300/3757] lr: 1.000e-02 eta: 18:47:56 time: 0.204 data_time: 0.014 memory: 5148 grad_norm: 4.7635 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8334 loss: 1.8334 2022/06/28 02:38:14 - mmengine - INFO - Epoch(train) [33][320/3757] lr: 1.000e-02 eta: 18:47:52 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.2795 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9919 loss: 1.9919 2022/06/28 02:38:19 - mmengine - INFO - Epoch(train) [33][340/3757] lr: 1.000e-02 eta: 18:47:48 time: 0.193 data_time: 0.008 memory: 5148 grad_norm: 5.8271 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9228 loss: 1.9228 2022/06/28 02:38:24 - mmengine - INFO - Epoch(train) [33][360/3757] lr: 1.000e-02 eta: 18:47:41 time: 0.235 data_time: 0.010 memory: 5148 grad_norm: 5.8743 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1467 loss: 2.1467 2022/06/28 02:38:30 - mmengine - INFO - Epoch(train) [33][380/3757] lr: 1.000e-02 eta: 18:47:36 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 5.9104 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5255 loss: 2.5255 2022/06/28 02:38:36 - mmengine - INFO - Epoch(train) [33][400/3757] lr: 1.000e-02 eta: 18:47:32 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.2969 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7931 loss: 1.7931 2022/06/28 02:38:40 - mmengine - INFO - Epoch(train) [33][420/3757] lr: 1.000e-02 eta: 18:47:25 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 5.5087 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2536 loss: 2.2536 2022/06/28 02:38:46 - mmengine - INFO - Epoch(train) [33][440/3757] lr: 1.000e-02 eta: 18:47:20 time: 0.209 data_time: 0.014 memory: 5148 grad_norm: 4.4547 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1972 loss: 2.1972 2022/06/28 02:38:51 - mmengine - INFO - Epoch(train) [33][460/3757] lr: 1.000e-02 eta: 18:47:15 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.4542 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1195 loss: 2.1195 2022/06/28 02:38:56 - mmengine - INFO - Epoch(train) [33][480/3757] lr: 1.000e-02 eta: 18:47:09 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.1272 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0683 loss: 2.0683 2022/06/28 02:39:02 - mmengine - INFO - Epoch(train) [33][500/3757] lr: 1.000e-02 eta: 18:47:04 time: 0.210 data_time: 0.019 memory: 5148 grad_norm: 5.0921 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8294 loss: 1.8294 2022/06/28 02:39:07 - mmengine - INFO - Epoch(train) [33][520/3757] lr: 1.000e-02 eta: 18:47:00 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.1977 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9376 loss: 1.9376 2022/06/28 02:39:12 - mmengine - INFO - Epoch(train) [33][540/3757] lr: 1.000e-02 eta: 18:46:54 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 6.1471 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0484 loss: 2.0484 2022/06/28 02:39:18 - mmengine - INFO - Epoch(train) [33][560/3757] lr: 1.000e-02 eta: 18:46:49 time: 0.194 data_time: 0.018 memory: 5148 grad_norm: 5.5542 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0200 loss: 2.0200 2022/06/28 02:39:24 - mmengine - INFO - Epoch(train) [33][580/3757] lr: 1.000e-02 eta: 18:46:45 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.4182 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9234 loss: 1.9234 2022/06/28 02:39:28 - mmengine - INFO - Epoch(train) [33][600/3757] lr: 1.000e-02 eta: 18:46:38 time: 0.190 data_time: 0.010 memory: 5148 grad_norm: 5.7316 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1595 loss: 2.1595 2022/06/28 02:39:34 - mmengine - INFO - Epoch(train) [33][620/3757] lr: 1.000e-02 eta: 18:46:34 time: 0.209 data_time: 0.032 memory: 5148 grad_norm: 5.0849 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2889 loss: 2.2889 2022/06/28 02:39:39 - mmengine - INFO - Epoch(train) [33][640/3757] lr: 1.000e-02 eta: 18:46:28 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 5.0144 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5545 loss: 1.5545 2022/06/28 02:39:44 - mmengine - INFO - Epoch(train) [33][660/3757] lr: 1.000e-02 eta: 18:46:22 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 5.6171 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.9142 loss: 1.9142 2022/06/28 02:39:50 - mmengine - INFO - Epoch(train) [33][680/3757] lr: 1.000e-02 eta: 18:46:18 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 5.8145 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4442 loss: 2.4442 2022/06/28 02:39:56 - mmengine - INFO - Epoch(train) [33][700/3757] lr: 1.000e-02 eta: 18:46:14 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 6.4245 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4166 loss: 2.4166 2022/06/28 02:40:00 - mmengine - INFO - Epoch(train) [33][720/3757] lr: 1.000e-02 eta: 18:46:06 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 4.8768 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0791 loss: 2.0791 2022/06/28 02:40:06 - mmengine - INFO - Epoch(train) [33][740/3757] lr: 1.000e-02 eta: 18:46:02 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.4675 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8530 loss: 1.8530 2022/06/28 02:40:11 - mmengine - INFO - Epoch(train) [33][760/3757] lr: 1.000e-02 eta: 18:45:57 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 4.6082 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7082 loss: 1.7082 2022/06/28 02:40:16 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 02:40:17 - mmengine - INFO - Epoch(train) [33][780/3757] lr: 1.000e-02 eta: 18:45:52 time: 0.220 data_time: 0.010 memory: 5148 grad_norm: 5.1214 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8915 loss: 1.8915 2022/06/28 02:40:22 - mmengine - INFO - Epoch(train) [33][800/3757] lr: 1.000e-02 eta: 18:45:46 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 6.3489 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9894 loss: 1.9894 2022/06/28 02:40:27 - mmengine - INFO - Epoch(train) [33][820/3757] lr: 1.000e-02 eta: 18:45:40 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.1212 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3218 loss: 2.3218 2022/06/28 02:40:33 - mmengine - INFO - Epoch(train) [33][840/3757] lr: 1.000e-02 eta: 18:45:35 time: 0.214 data_time: 0.010 memory: 5148 grad_norm: 6.3208 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9229 loss: 1.9229 2022/06/28 02:40:38 - mmengine - INFO - Epoch(train) [33][860/3757] lr: 1.000e-02 eta: 18:45:30 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 5.2812 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1566 loss: 2.1566 2022/06/28 02:40:44 - mmengine - INFO - Epoch(train) [33][880/3757] lr: 1.000e-02 eta: 18:45:26 time: 0.204 data_time: 0.012 memory: 5148 grad_norm: 5.4032 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1330 loss: 2.1330 2022/06/28 02:40:49 - mmengine - INFO - Epoch(train) [33][900/3757] lr: 1.000e-02 eta: 18:45:21 time: 0.216 data_time: 0.013 memory: 5148 grad_norm: 6.2469 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1752 loss: 2.1752 2022/06/28 02:40:55 - mmengine - INFO - Epoch(train) [33][920/3757] lr: 1.000e-02 eta: 18:45:17 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.8201 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9287 loss: 1.9287 2022/06/28 02:40:59 - mmengine - INFO - Epoch(train) [33][940/3757] lr: 1.000e-02 eta: 18:45:09 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.4885 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0697 loss: 2.0697 2022/06/28 02:41:05 - mmengine - INFO - Epoch(train) [33][960/3757] lr: 1.000e-02 eta: 18:45:04 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 5.8306 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9759 loss: 1.9759 2022/06/28 02:41:09 - mmengine - INFO - Epoch(train) [33][980/3757] lr: 1.000e-02 eta: 18:44:58 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 5.8305 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2360 loss: 2.2360 2022/06/28 02:41:14 - mmengine - INFO - Epoch(train) [33][1000/3757] lr: 1.000e-02 eta: 18:44:51 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 6.0841 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3790 loss: 2.3790 2022/06/28 02:41:20 - mmengine - INFO - Epoch(train) [33][1020/3757] lr: 1.000e-02 eta: 18:44:46 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 6.1835 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7787 loss: 1.7787 2022/06/28 02:41:25 - mmengine - INFO - Epoch(train) [33][1040/3757] lr: 1.000e-02 eta: 18:44:42 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 5.7858 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0510 loss: 2.0510 2022/06/28 02:41:31 - mmengine - INFO - Epoch(train) [33][1060/3757] lr: 1.000e-02 eta: 18:44:37 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 5.5065 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2034 loss: 2.2034 2022/06/28 02:41:36 - mmengine - INFO - Epoch(train) [33][1080/3757] lr: 1.000e-02 eta: 18:44:31 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.2949 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0551 loss: 2.0551 2022/06/28 02:41:42 - mmengine - INFO - Epoch(train) [33][1100/3757] lr: 1.000e-02 eta: 18:44:26 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.9198 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6727 loss: 1.6727 2022/06/28 02:41:47 - mmengine - INFO - Epoch(train) [33][1120/3757] lr: 1.000e-02 eta: 18:44:22 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 5.7855 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4026 loss: 2.4026 2022/06/28 02:41:52 - mmengine - INFO - Epoch(train) [33][1140/3757] lr: 1.000e-02 eta: 18:44:16 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 6.2628 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9054 loss: 1.9054 2022/06/28 02:41:58 - mmengine - INFO - Epoch(train) [33][1160/3757] lr: 1.000e-02 eta: 18:44:12 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 5.4438 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9711 loss: 1.9711 2022/06/28 02:42:04 - mmengine - INFO - Epoch(train) [33][1180/3757] lr: 1.000e-02 eta: 18:44:07 time: 0.191 data_time: 0.010 memory: 5148 grad_norm: 5.9914 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7698 loss: 1.7698 2022/06/28 02:42:09 - mmengine - INFO - Epoch(train) [33][1200/3757] lr: 1.000e-02 eta: 18:44:01 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 6.0232 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7532 loss: 1.7532 2022/06/28 02:42:14 - mmengine - INFO - Epoch(train) [33][1220/3757] lr: 1.000e-02 eta: 18:43:56 time: 0.214 data_time: 0.010 memory: 5148 grad_norm: 5.8434 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1849 loss: 2.1849 2022/06/28 02:42:19 - mmengine - INFO - Epoch(train) [33][1240/3757] lr: 1.000e-02 eta: 18:43:50 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 5.7656 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4148 loss: 2.4148 2022/06/28 02:42:24 - mmengine - INFO - Epoch(train) [33][1260/3757] lr: 1.000e-02 eta: 18:43:44 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 5.9288 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9974 loss: 1.9974 2022/06/28 02:42:30 - mmengine - INFO - Epoch(train) [33][1280/3757] lr: 1.000e-02 eta: 18:43:40 time: 0.191 data_time: 0.012 memory: 5148 grad_norm: 5.1552 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2604 loss: 2.2604 2022/06/28 02:42:35 - mmengine - INFO - Epoch(train) [33][1300/3757] lr: 1.000e-02 eta: 18:43:34 time: 0.398 data_time: 0.007 memory: 5148 grad_norm: 6.4779 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 1.9793 loss: 1.9793 2022/06/28 02:42:40 - mmengine - INFO - Epoch(train) [33][1320/3757] lr: 1.000e-02 eta: 18:43:29 time: 0.211 data_time: 0.010 memory: 5148 grad_norm: 6.0912 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1449 loss: 2.1449 2022/06/28 02:42:46 - mmengine - INFO - Epoch(train) [33][1340/3757] lr: 1.000e-02 eta: 18:43:25 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 5.9084 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0619 loss: 2.0619 2022/06/28 02:42:51 - mmengine - INFO - Epoch(train) [33][1360/3757] lr: 1.000e-02 eta: 18:43:18 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.6727 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8388 loss: 1.8388 2022/06/28 02:42:57 - mmengine - INFO - Epoch(train) [33][1380/3757] lr: 1.000e-02 eta: 18:43:14 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.5354 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0703 loss: 2.0703 2022/06/28 02:43:02 - mmengine - INFO - Epoch(train) [33][1400/3757] lr: 1.000e-02 eta: 18:43:09 time: 0.211 data_time: 0.015 memory: 5148 grad_norm: 5.2372 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0711 loss: 2.0711 2022/06/28 02:43:07 - mmengine - INFO - Epoch(train) [33][1420/3757] lr: 1.000e-02 eta: 18:43:03 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 5.3150 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0484 loss: 2.0484 2022/06/28 02:43:13 - mmengine - INFO - Epoch(train) [33][1440/3757] lr: 1.000e-02 eta: 18:42:59 time: 0.208 data_time: 0.012 memory: 5148 grad_norm: 4.7381 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9388 loss: 1.9388 2022/06/28 02:43:18 - mmengine - INFO - Epoch(train) [33][1460/3757] lr: 1.000e-02 eta: 18:42:53 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 5.3514 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8980 loss: 1.8980 2022/06/28 02:43:23 - mmengine - INFO - Epoch(train) [33][1480/3757] lr: 1.000e-02 eta: 18:42:47 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 6.2302 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1884 loss: 2.1884 2022/06/28 02:43:29 - mmengine - INFO - Epoch(train) [33][1500/3757] lr: 1.000e-02 eta: 18:42:42 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.4966 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0419 loss: 2.0419 2022/06/28 02:43:34 - mmengine - INFO - Epoch(train) [33][1520/3757] lr: 1.000e-02 eta: 18:42:37 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 5.4801 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2011 loss: 2.2011 2022/06/28 02:43:39 - mmengine - INFO - Epoch(train) [33][1540/3757] lr: 1.000e-02 eta: 18:42:31 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.4034 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2531 loss: 2.2531 2022/06/28 02:43:45 - mmengine - INFO - Epoch(train) [33][1560/3757] lr: 1.000e-02 eta: 18:42:27 time: 0.214 data_time: 0.010 memory: 5148 grad_norm: 6.2526 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2298 loss: 2.2298 2022/06/28 02:43:50 - mmengine - INFO - Epoch(train) [33][1580/3757] lr: 1.000e-02 eta: 18:42:22 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 5.6484 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3529 loss: 2.3529 2022/06/28 02:43:56 - mmengine - INFO - Epoch(train) [33][1600/3757] lr: 1.000e-02 eta: 18:42:17 time: 0.203 data_time: 0.013 memory: 5148 grad_norm: 6.4253 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8940 loss: 1.8940 2022/06/28 02:44:01 - mmengine - INFO - Epoch(train) [33][1620/3757] lr: 1.000e-02 eta: 18:42:10 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 6.7753 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1413 loss: 2.1413 2022/06/28 02:44:06 - mmengine - INFO - Epoch(train) [33][1640/3757] lr: 1.000e-02 eta: 18:42:06 time: 0.198 data_time: 0.015 memory: 5148 grad_norm: 5.5604 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9837 loss: 1.9837 2022/06/28 02:44:11 - mmengine - INFO - Epoch(train) [33][1660/3757] lr: 1.000e-02 eta: 18:41:59 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 5.3697 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7432 loss: 1.7432 2022/06/28 02:44:17 - mmengine - INFO - Epoch(train) [33][1680/3757] lr: 1.000e-02 eta: 18:41:55 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.6453 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0703 loss: 2.0703 2022/06/28 02:44:22 - mmengine - INFO - Epoch(train) [33][1700/3757] lr: 1.000e-02 eta: 18:41:48 time: 0.204 data_time: 0.012 memory: 5148 grad_norm: 5.9798 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1749 loss: 2.1749 2022/06/28 02:44:26 - mmengine - INFO - Epoch(train) [33][1720/3757] lr: 1.000e-02 eta: 18:41:42 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 4.6686 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9680 loss: 1.9680 2022/06/28 02:44:32 - mmengine - INFO - Epoch(train) [33][1740/3757] lr: 1.000e-02 eta: 18:41:38 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.4374 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7499 loss: 1.7499 2022/06/28 02:44:38 - mmengine - INFO - Epoch(train) [33][1760/3757] lr: 1.000e-02 eta: 18:41:33 time: 0.202 data_time: 0.021 memory: 5148 grad_norm: 5.0467 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0115 loss: 2.0115 2022/06/28 02:44:42 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 02:44:43 - mmengine - INFO - Epoch(train) [33][1780/3757] lr: 1.000e-02 eta: 18:41:27 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 6.0038 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4166 loss: 2.4166 2022/06/28 02:44:49 - mmengine - INFO - Epoch(train) [33][1800/3757] lr: 1.000e-02 eta: 18:41:23 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.1804 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7700 loss: 1.7700 2022/06/28 02:44:54 - mmengine - INFO - Epoch(train) [33][1820/3757] lr: 1.000e-02 eta: 18:41:18 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 6.1852 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3858 loss: 2.3858 2022/06/28 02:44:59 - mmengine - INFO - Epoch(train) [33][1840/3757] lr: 1.000e-02 eta: 18:41:12 time: 0.196 data_time: 0.006 memory: 5148 grad_norm: 4.9382 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2939 loss: 2.2939 2022/06/28 02:45:05 - mmengine - INFO - Epoch(train) [33][1860/3757] lr: 1.000e-02 eta: 18:41:07 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 6.3828 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8807 loss: 1.8807 2022/06/28 02:45:10 - mmengine - INFO - Epoch(train) [33][1880/3757] lr: 1.000e-02 eta: 18:41:03 time: 0.203 data_time: 0.030 memory: 5148 grad_norm: 5.2769 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7518 loss: 1.7518 2022/06/28 02:45:15 - mmengine - INFO - Epoch(train) [33][1900/3757] lr: 1.000e-02 eta: 18:40:57 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 5.6587 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8266 loss: 1.8266 2022/06/28 02:45:21 - mmengine - INFO - Epoch(train) [33][1920/3757] lr: 1.000e-02 eta: 18:40:53 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 5.9463 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0135 loss: 2.0135 2022/06/28 02:45:27 - mmengine - INFO - Epoch(train) [33][1940/3757] lr: 1.000e-02 eta: 18:40:47 time: 0.196 data_time: 0.012 memory: 5148 grad_norm: 5.8608 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7789 loss: 1.7789 2022/06/28 02:45:31 - mmengine - INFO - Epoch(train) [33][1960/3757] lr: 1.000e-02 eta: 18:40:41 time: 0.223 data_time: 0.010 memory: 5148 grad_norm: 6.0495 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9442 loss: 1.9442 2022/06/28 02:45:38 - mmengine - INFO - Epoch(train) [33][1980/3757] lr: 1.000e-02 eta: 18:40:37 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 6.5448 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0061 loss: 2.0061 2022/06/28 02:45:42 - mmengine - INFO - Epoch(train) [33][2000/3757] lr: 1.000e-02 eta: 18:40:30 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 5.4442 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8002 loss: 1.8002 2022/06/28 02:45:47 - mmengine - INFO - Epoch(train) [33][2020/3757] lr: 1.000e-02 eta: 18:40:24 time: 0.200 data_time: 0.013 memory: 5148 grad_norm: 5.5243 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9037 loss: 1.9037 2022/06/28 02:45:52 - mmengine - INFO - Epoch(train) [33][2040/3757] lr: 1.000e-02 eta: 18:40:19 time: 0.196 data_time: 0.009 memory: 5148 grad_norm: 6.7288 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1668 loss: 2.1668 2022/06/28 02:45:57 - mmengine - INFO - Epoch(train) [33][2060/3757] lr: 1.000e-02 eta: 18:40:14 time: 0.199 data_time: 0.025 memory: 5148 grad_norm: 5.3941 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3021 loss: 2.3021 2022/06/28 02:46:02 - mmengine - INFO - Epoch(train) [33][2080/3757] lr: 1.000e-02 eta: 18:40:07 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 5.8527 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8859 loss: 1.8859 2022/06/28 02:46:08 - mmengine - INFO - Epoch(train) [33][2100/3757] lr: 1.000e-02 eta: 18:40:02 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.8460 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1428 loss: 2.1428 2022/06/28 02:46:14 - mmengine - INFO - Epoch(train) [33][2120/3757] lr: 1.000e-02 eta: 18:39:58 time: 0.217 data_time: 0.034 memory: 5148 grad_norm: 5.6787 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4467 loss: 2.4467 2022/06/28 02:46:18 - mmengine - INFO - Epoch(train) [33][2140/3757] lr: 1.000e-02 eta: 18:39:52 time: 0.281 data_time: 0.016 memory: 5148 grad_norm: 6.3133 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8053 loss: 1.8053 2022/06/28 02:46:24 - mmengine - INFO - Epoch(train) [33][2160/3757] lr: 1.000e-02 eta: 18:39:47 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 5.6608 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8830 loss: 1.8830 2022/06/28 02:46:30 - mmengine - INFO - Epoch(train) [33][2180/3757] lr: 1.000e-02 eta: 18:39:42 time: 0.477 data_time: 0.297 memory: 5148 grad_norm: 5.9384 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3837 loss: 2.3837 2022/06/28 02:46:34 - mmengine - INFO - Epoch(train) [33][2200/3757] lr: 1.000e-02 eta: 18:39:36 time: 0.215 data_time: 0.012 memory: 5148 grad_norm: 5.4675 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6767 loss: 1.6767 2022/06/28 02:46:40 - mmengine - INFO - Epoch(train) [33][2220/3757] lr: 1.000e-02 eta: 18:39:32 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 5.5852 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4175 loss: 2.4175 2022/06/28 02:46:46 - mmengine - INFO - Epoch(train) [33][2240/3757] lr: 1.000e-02 eta: 18:39:27 time: 0.287 data_time: 0.111 memory: 5148 grad_norm: 5.2282 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6212 loss: 1.6212 2022/06/28 02:46:51 - mmengine - INFO - Epoch(train) [33][2260/3757] lr: 1.000e-02 eta: 18:39:21 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 5.6594 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2381 loss: 2.2381 2022/06/28 02:46:56 - mmengine - INFO - Epoch(train) [33][2280/3757] lr: 1.000e-02 eta: 18:39:16 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 6.0737 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0389 loss: 2.0389 2022/06/28 02:47:01 - mmengine - INFO - Epoch(train) [33][2300/3757] lr: 1.000e-02 eta: 18:39:10 time: 0.215 data_time: 0.041 memory: 5148 grad_norm: 5.3318 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9940 loss: 1.9940 2022/06/28 02:47:06 - mmengine - INFO - Epoch(train) [33][2320/3757] lr: 1.000e-02 eta: 18:39:04 time: 0.216 data_time: 0.006 memory: 5148 grad_norm: 5.1375 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0468 loss: 2.0468 2022/06/28 02:47:12 - mmengine - INFO - Epoch(train) [33][2340/3757] lr: 1.000e-02 eta: 18:39:00 time: 0.191 data_time: 0.011 memory: 5148 grad_norm: 5.7524 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8559 loss: 1.8559 2022/06/28 02:47:17 - mmengine - INFO - Epoch(train) [33][2360/3757] lr: 1.000e-02 eta: 18:38:54 time: 0.212 data_time: 0.034 memory: 5148 grad_norm: 5.5318 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8136 loss: 1.8136 2022/06/28 02:47:23 - mmengine - INFO - Epoch(train) [33][2380/3757] lr: 1.000e-02 eta: 18:38:49 time: 0.205 data_time: 0.017 memory: 5148 grad_norm: 5.0145 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9995 loss: 1.9995 2022/06/28 02:47:28 - mmengine - INFO - Epoch(train) [33][2400/3757] lr: 1.000e-02 eta: 18:38:44 time: 0.240 data_time: 0.015 memory: 5148 grad_norm: 5.9233 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1509 loss: 2.1509 2022/06/28 02:47:34 - mmengine - INFO - Epoch(train) [33][2420/3757] lr: 1.000e-02 eta: 18:38:39 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 5.2333 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3534 loss: 2.3534 2022/06/28 02:47:39 - mmengine - INFO - Epoch(train) [33][2440/3757] lr: 1.000e-02 eta: 18:38:33 time: 0.213 data_time: 0.018 memory: 5148 grad_norm: 6.1236 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1709 loss: 2.1709 2022/06/28 02:47:44 - mmengine - INFO - Epoch(train) [33][2460/3757] lr: 1.000e-02 eta: 18:38:28 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 5.8012 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9515 loss: 1.9515 2022/06/28 02:47:50 - mmengine - INFO - Epoch(train) [33][2480/3757] lr: 1.000e-02 eta: 18:38:24 time: 0.194 data_time: 0.020 memory: 5148 grad_norm: 5.6206 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7985 loss: 1.7985 2022/06/28 02:47:55 - mmengine - INFO - Epoch(train) [33][2500/3757] lr: 1.000e-02 eta: 18:38:18 time: 0.203 data_time: 0.015 memory: 5148 grad_norm: 5.3674 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1394 loss: 2.1394 2022/06/28 02:48:01 - mmengine - INFO - Epoch(train) [33][2520/3757] lr: 1.000e-02 eta: 18:38:13 time: 0.206 data_time: 0.015 memory: 5148 grad_norm: 6.0734 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6727 loss: 1.6727 2022/06/28 02:48:05 - mmengine - INFO - Epoch(train) [33][2540/3757] lr: 1.000e-02 eta: 18:38:07 time: 0.205 data_time: 0.014 memory: 5148 grad_norm: 5.6412 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9637 loss: 1.9637 2022/06/28 02:48:10 - mmengine - INFO - Epoch(train) [33][2560/3757] lr: 1.000e-02 eta: 18:38:01 time: 0.202 data_time: 0.014 memory: 5148 grad_norm: 5.1775 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0235 loss: 2.0235 2022/06/28 02:48:17 - mmengine - INFO - Epoch(train) [33][2580/3757] lr: 1.000e-02 eta: 18:37:58 time: 0.219 data_time: 0.006 memory: 5148 grad_norm: 5.5914 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1556 loss: 2.1556 2022/06/28 02:48:22 - mmengine - INFO - Epoch(train) [33][2600/3757] lr: 1.000e-02 eta: 18:37:52 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 5.4740 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0948 loss: 2.0948 2022/06/28 02:48:27 - mmengine - INFO - Epoch(train) [33][2620/3757] lr: 1.000e-02 eta: 18:37:46 time: 0.191 data_time: 0.014 memory: 5148 grad_norm: 4.7493 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9012 loss: 1.9012 2022/06/28 02:48:33 - mmengine - INFO - Epoch(train) [33][2640/3757] lr: 1.000e-02 eta: 18:37:42 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 5.2329 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8340 loss: 1.8340 2022/06/28 02:48:38 - mmengine - INFO - Epoch(train) [33][2660/3757] lr: 1.000e-02 eta: 18:37:37 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 5.3213 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8343 loss: 1.8343 2022/06/28 02:48:43 - mmengine - INFO - Epoch(train) [33][2680/3757] lr: 1.000e-02 eta: 18:37:30 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 5.6512 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8214 loss: 1.8214 2022/06/28 02:48:49 - mmengine - INFO - Epoch(train) [33][2700/3757] lr: 1.000e-02 eta: 18:37:27 time: 1.013 data_time: 0.006 memory: 5148 grad_norm: 5.6435 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4202 loss: 2.4202 2022/06/28 02:48:54 - mmengine - INFO - Epoch(train) [33][2720/3757] lr: 1.000e-02 eta: 18:37:22 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 6.4572 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1785 loss: 2.1785 2022/06/28 02:48:59 - mmengine - INFO - Epoch(train) [33][2740/3757] lr: 1.000e-02 eta: 18:37:15 time: 0.194 data_time: 0.013 memory: 5148 grad_norm: 5.7730 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9157 loss: 1.9157 2022/06/28 02:49:04 - mmengine - INFO - Epoch(train) [33][2760/3757] lr: 1.000e-02 eta: 18:37:10 time: 0.385 data_time: 0.007 memory: 5148 grad_norm: 6.2567 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0839 loss: 2.0839 2022/06/28 02:49:09 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 02:49:10 - mmengine - INFO - Epoch(train) [33][2780/3757] lr: 1.000e-02 eta: 18:37:05 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 5.4331 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9758 loss: 1.9758 2022/06/28 02:49:15 - mmengine - INFO - Epoch(train) [33][2800/3757] lr: 1.000e-02 eta: 18:37:00 time: 0.215 data_time: 0.013 memory: 5148 grad_norm: 6.2482 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7060 loss: 1.7060 2022/06/28 02:49:20 - mmengine - INFO - Epoch(train) [33][2820/3757] lr: 1.000e-02 eta: 18:36:54 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 5.8031 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3702 loss: 2.3702 2022/06/28 02:49:26 - mmengine - INFO - Epoch(train) [33][2840/3757] lr: 1.000e-02 eta: 18:36:49 time: 0.209 data_time: 0.032 memory: 5148 grad_norm: 5.0630 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0503 loss: 2.0503 2022/06/28 02:49:31 - mmengine - INFO - Epoch(train) [33][2860/3757] lr: 1.000e-02 eta: 18:36:43 time: 0.204 data_time: 0.013 memory: 5148 grad_norm: 5.1144 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7528 loss: 1.7528 2022/06/28 02:49:36 - mmengine - INFO - Epoch(train) [33][2880/3757] lr: 1.000e-02 eta: 18:36:38 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 5.7645 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9423 loss: 1.9423 2022/06/28 02:49:42 - mmengine - INFO - Epoch(train) [33][2900/3757] lr: 1.000e-02 eta: 18:36:33 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 5.4677 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0131 loss: 2.0131 2022/06/28 02:49:47 - mmengine - INFO - Epoch(train) [33][2920/3757] lr: 1.000e-02 eta: 18:36:28 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 4.9707 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1835 loss: 2.1835 2022/06/28 02:49:52 - mmengine - INFO - Epoch(train) [33][2940/3757] lr: 1.000e-02 eta: 18:36:22 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 6.1426 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9248 loss: 1.9248 2022/06/28 02:49:58 - mmengine - INFO - Epoch(train) [33][2960/3757] lr: 1.000e-02 eta: 18:36:17 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 6.3260 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9377 loss: 1.9377 2022/06/28 02:50:03 - mmengine - INFO - Epoch(train) [33][2980/3757] lr: 1.000e-02 eta: 18:36:12 time: 0.199 data_time: 0.016 memory: 5148 grad_norm: 5.0518 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6764 loss: 1.6764 2022/06/28 02:50:08 - mmengine - INFO - Epoch(train) [33][3000/3757] lr: 1.000e-02 eta: 18:36:06 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 5.1867 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1145 loss: 2.1145 2022/06/28 02:50:14 - mmengine - INFO - Epoch(train) [33][3020/3757] lr: 1.000e-02 eta: 18:36:02 time: 0.200 data_time: 0.014 memory: 5148 grad_norm: 5.0951 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3002 loss: 2.3002 2022/06/28 02:50:19 - mmengine - INFO - Epoch(train) [33][3040/3757] lr: 1.000e-02 eta: 18:35:56 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 5.3641 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3998 loss: 2.3998 2022/06/28 02:50:24 - mmengine - INFO - Epoch(train) [33][3060/3757] lr: 1.000e-02 eta: 18:35:51 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 5.6783 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.2574 loss: 2.2574 2022/06/28 02:50:29 - mmengine - INFO - Epoch(train) [33][3080/3757] lr: 1.000e-02 eta: 18:35:45 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.7281 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9777 loss: 1.9777 2022/06/28 02:50:35 - mmengine - INFO - Epoch(train) [33][3100/3757] lr: 1.000e-02 eta: 18:35:41 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 5.3032 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2187 loss: 2.2187 2022/06/28 02:50:41 - mmengine - INFO - Epoch(train) [33][3120/3757] lr: 1.000e-02 eta: 18:35:36 time: 0.197 data_time: 0.013 memory: 5148 grad_norm: 6.4244 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3752 loss: 2.3752 2022/06/28 02:50:45 - mmengine - INFO - Epoch(train) [33][3140/3757] lr: 1.000e-02 eta: 18:35:29 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.6398 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2212 loss: 2.2212 2022/06/28 02:50:51 - mmengine - INFO - Epoch(train) [33][3160/3757] lr: 1.000e-02 eta: 18:35:24 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 5.0481 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9530 loss: 1.9530 2022/06/28 02:50:56 - mmengine - INFO - Epoch(train) [33][3180/3757] lr: 1.000e-02 eta: 18:35:19 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 5.7796 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1868 loss: 2.1868 2022/06/28 02:51:01 - mmengine - INFO - Epoch(train) [33][3200/3757] lr: 1.000e-02 eta: 18:35:13 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.6061 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4598 loss: 2.4598 2022/06/28 02:51:07 - mmengine - INFO - Epoch(train) [33][3220/3757] lr: 1.000e-02 eta: 18:35:09 time: 0.218 data_time: 0.006 memory: 5148 grad_norm: 5.2941 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2121 loss: 2.2121 2022/06/28 02:51:13 - mmengine - INFO - Epoch(train) [33][3240/3757] lr: 1.000e-02 eta: 18:35:04 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 5.7466 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9878 loss: 1.9878 2022/06/28 02:51:18 - mmengine - INFO - Epoch(train) [33][3260/3757] lr: 1.000e-02 eta: 18:34:58 time: 0.218 data_time: 0.006 memory: 5148 grad_norm: 5.2711 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1535 loss: 2.1535 2022/06/28 02:51:23 - mmengine - INFO - Epoch(train) [33][3280/3757] lr: 1.000e-02 eta: 18:34:53 time: 0.216 data_time: 0.006 memory: 5148 grad_norm: 5.3276 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3980 loss: 2.3980 2022/06/28 02:51:29 - mmengine - INFO - Epoch(train) [33][3300/3757] lr: 1.000e-02 eta: 18:34:48 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 5.5931 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0163 loss: 2.0163 2022/06/28 02:51:34 - mmengine - INFO - Epoch(train) [33][3320/3757] lr: 1.000e-02 eta: 18:34:42 time: 0.210 data_time: 0.006 memory: 5148 grad_norm: 5.7567 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9700 loss: 1.9700 2022/06/28 02:51:39 - mmengine - INFO - Epoch(train) [33][3340/3757] lr: 1.000e-02 eta: 18:34:37 time: 0.216 data_time: 0.006 memory: 5148 grad_norm: 5.4778 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8598 loss: 1.8598 2022/06/28 02:51:44 - mmengine - INFO - Epoch(train) [33][3360/3757] lr: 1.000e-02 eta: 18:34:31 time: 0.200 data_time: 0.019 memory: 5148 grad_norm: 5.1771 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1711 loss: 2.1711 2022/06/28 02:51:49 - mmengine - INFO - Epoch(train) [33][3380/3757] lr: 1.000e-02 eta: 18:34:25 time: 0.193 data_time: 0.011 memory: 5148 grad_norm: 5.5087 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1990 loss: 2.1990 2022/06/28 02:51:55 - mmengine - INFO - Epoch(train) [33][3400/3757] lr: 1.000e-02 eta: 18:34:22 time: 0.220 data_time: 0.007 memory: 5148 grad_norm: 5.4366 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4409 loss: 1.4409 2022/06/28 02:52:01 - mmengine - INFO - Epoch(train) [33][3420/3757] lr: 1.000e-02 eta: 18:34:17 time: 0.203 data_time: 0.016 memory: 5148 grad_norm: 5.2956 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8493 loss: 1.8493 2022/06/28 02:52:05 - mmengine - INFO - Epoch(train) [33][3440/3757] lr: 1.000e-02 eta: 18:34:10 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 6.0155 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9680 loss: 1.9680 2022/06/28 02:52:11 - mmengine - INFO - Epoch(train) [33][3460/3757] lr: 1.000e-02 eta: 18:34:06 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 6.1686 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7930 loss: 1.7930 2022/06/28 02:52:17 - mmengine - INFO - Epoch(train) [33][3480/3757] lr: 1.000e-02 eta: 18:34:01 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 6.4017 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2263 loss: 2.2263 2022/06/28 02:52:22 - mmengine - INFO - Epoch(train) [33][3500/3757] lr: 1.000e-02 eta: 18:33:55 time: 0.208 data_time: 0.010 memory: 5148 grad_norm: 5.1122 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8059 loss: 1.8059 2022/06/28 02:52:27 - mmengine - INFO - Epoch(train) [33][3520/3757] lr: 1.000e-02 eta: 18:33:50 time: 0.219 data_time: 0.011 memory: 5148 grad_norm: 5.7263 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1498 loss: 2.1498 2022/06/28 02:52:32 - mmengine - INFO - Epoch(train) [33][3540/3757] lr: 1.000e-02 eta: 18:33:44 time: 0.194 data_time: 0.011 memory: 5148 grad_norm: 6.3420 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3100 loss: 2.3100 2022/06/28 02:52:37 - mmengine - INFO - Epoch(train) [33][3560/3757] lr: 1.000e-02 eta: 18:33:39 time: 0.198 data_time: 0.016 memory: 5148 grad_norm: 6.0058 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0040 loss: 2.0040 2022/06/28 02:52:43 - mmengine - INFO - Epoch(train) [33][3580/3757] lr: 1.000e-02 eta: 18:33:34 time: 0.546 data_time: 0.006 memory: 5148 grad_norm: 5.3490 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2002 loss: 2.2002 2022/06/28 02:52:48 - mmengine - INFO - Epoch(train) [33][3600/3757] lr: 1.000e-02 eta: 18:33:28 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 6.0812 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1016 loss: 2.1016 2022/06/28 02:52:54 - mmengine - INFO - Epoch(train) [33][3620/3757] lr: 1.000e-02 eta: 18:33:24 time: 0.202 data_time: 0.018 memory: 5148 grad_norm: 6.1346 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2715 loss: 2.2715 2022/06/28 02:53:00 - mmengine - INFO - Epoch(train) [33][3640/3757] lr: 1.000e-02 eta: 18:33:19 time: 0.205 data_time: 0.013 memory: 5148 grad_norm: 6.2512 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9555 loss: 1.9555 2022/06/28 02:53:04 - mmengine - INFO - Epoch(train) [33][3660/3757] lr: 1.000e-02 eta: 18:33:12 time: 0.203 data_time: 0.015 memory: 5148 grad_norm: 6.1311 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1989 loss: 2.1989 2022/06/28 02:53:08 - mmengine - INFO - Epoch(train) [33][3680/3757] lr: 1.000e-02 eta: 18:33:04 time: 0.201 data_time: 0.016 memory: 5148 grad_norm: 5.9850 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0170 loss: 2.0170 2022/06/28 02:53:14 - mmengine - INFO - Epoch(train) [33][3700/3757] lr: 1.000e-02 eta: 18:32:59 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 5.4838 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5846 loss: 1.5846 2022/06/28 02:53:19 - mmengine - INFO - Epoch(train) [33][3720/3757] lr: 1.000e-02 eta: 18:32:54 time: 0.200 data_time: 0.024 memory: 5148 grad_norm: 5.5302 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.1745 loss: 2.1745 2022/06/28 02:53:24 - mmengine - INFO - Epoch(train) [33][3740/3757] lr: 1.000e-02 eta: 18:32:49 time: 0.201 data_time: 0.012 memory: 5148 grad_norm: 6.2244 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9822 loss: 1.9822 2022/06/28 02:53:28 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 02:53:35 - mmengine - INFO - Epoch(val) [33][20/310] eta: 0:01:16 time: 0.388 data_time: 0.315 memory: 5148 2022/06/28 02:53:39 - mmengine - INFO - Epoch(val) [33][40/310] eta: 0:01:00 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 02:53:45 - mmengine - INFO - Epoch(val) [33][60/310] eta: 0:00:54 time: 0.144 data_time: 0.074 memory: 1367 2022/06/28 02:53:50 - mmengine - INFO - Epoch(val) [33][80/310] eta: 0:00:58 time: 0.080 data_time: 0.009 memory: 1367 2022/06/28 02:53:56 - mmengine - INFO - Epoch(val) [33][100/310] eta: 0:00:48 time: 0.275 data_time: 0.192 memory: 1367 2022/06/28 02:54:00 - mmengine - INFO - Epoch(val) [33][120/310] eta: 0:00:45 time: 0.182 data_time: 0.111 memory: 1367 2022/06/28 02:54:07 - mmengine - INFO - Epoch(val) [33][140/310] eta: 0:00:53 time: 0.859 data_time: 0.786 memory: 1367 2022/06/28 02:54:12 - mmengine - INFO - Epoch(val) [33][160/310] eta: 0:00:35 time: 0.232 data_time: 0.155 memory: 1367 2022/06/28 02:54:18 - mmengine - INFO - Epoch(val) [33][180/310] eta: 0:00:46 time: 1.159 data_time: 1.074 memory: 1367 2022/06/28 02:54:22 - mmengine - INFO - Epoch(val) [33][200/310] eta: 0:00:26 time: 0.083 data_time: 0.005 memory: 1367 2022/06/28 02:54:28 - mmengine - INFO - Epoch(val) [33][220/310] eta: 0:00:32 time: 0.764 data_time: 0.688 memory: 1367 2022/06/28 02:54:33 - mmengine - INFO - Epoch(val) [33][240/310] eta: 0:00:13 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 02:54:39 - mmengine - INFO - Epoch(val) [33][260/310] eta: 0:00:18 time: 0.421 data_time: 0.349 memory: 1367 2022/06/28 02:54:43 - mmengine - INFO - Epoch(val) [33][280/310] eta: 0:00:07 time: 0.083 data_time: 0.011 memory: 1367 2022/06/28 02:54:49 - mmengine - INFO - Epoch(val) [33][300/310] eta: 0:00:03 time: 0.274 data_time: 0.197 memory: 1367 2022/06/28 02:54:52 - mmengine - INFO - Epoch(val) [33][310/310] acc/top1: 0.5591 acc/top5: 0.7991 acc/mean1: 0.5590 2022/06/28 02:55:00 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 02:55:01 - mmengine - INFO - Epoch(train) [34][20/3757] lr: 1.000e-02 eta: 18:32:41 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.1754 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0255 loss: 2.0255 2022/06/28 02:55:06 - mmengine - INFO - Epoch(train) [34][40/3757] lr: 1.000e-02 eta: 18:32:37 time: 0.205 data_time: 0.025 memory: 5148 grad_norm: 5.2467 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7920 loss: 2.7920 2022/06/28 02:55:11 - mmengine - INFO - Epoch(train) [34][60/3757] lr: 1.000e-02 eta: 18:32:30 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 4.7834 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2000 loss: 2.2000 2022/06/28 02:55:17 - mmengine - INFO - Epoch(train) [34][80/3757] lr: 1.000e-02 eta: 18:32:26 time: 0.187 data_time: 0.010 memory: 5148 grad_norm: 6.2351 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1743 loss: 2.1743 2022/06/28 02:55:23 - mmengine - INFO - Epoch(train) [34][100/3757] lr: 1.000e-02 eta: 18:32:21 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.8110 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.7252 loss: 1.7252 2022/06/28 02:55:28 - mmengine - INFO - Epoch(train) [34][120/3757] lr: 1.000e-02 eta: 18:32:16 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.0480 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9057 loss: 1.9057 2022/06/28 02:55:33 - mmengine - INFO - Epoch(train) [34][140/3757] lr: 1.000e-02 eta: 18:32:10 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 4.8861 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6509 loss: 1.6509 2022/06/28 02:55:38 - mmengine - INFO - Epoch(train) [34][160/3757] lr: 1.000e-02 eta: 18:32:05 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.6389 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9468 loss: 1.9468 2022/06/28 02:55:43 - mmengine - INFO - Epoch(train) [34][180/3757] lr: 1.000e-02 eta: 18:31:59 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.4581 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8100 loss: 1.8100 2022/06/28 02:55:49 - mmengine - INFO - Epoch(train) [34][200/3757] lr: 1.000e-02 eta: 18:31:55 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.2795 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1625 loss: 2.1625 2022/06/28 02:55:54 - mmengine - INFO - Epoch(train) [34][220/3757] lr: 1.000e-02 eta: 18:31:50 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.3202 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9590 loss: 1.9590 2022/06/28 02:55:59 - mmengine - INFO - Epoch(train) [34][240/3757] lr: 1.000e-02 eta: 18:31:43 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 5.4737 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8350 loss: 1.8350 2022/06/28 02:56:05 - mmengine - INFO - Epoch(train) [34][260/3757] lr: 1.000e-02 eta: 18:31:38 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.0892 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1256 loss: 2.1256 2022/06/28 02:56:11 - mmengine - INFO - Epoch(train) [34][280/3757] lr: 1.000e-02 eta: 18:31:34 time: 0.196 data_time: 0.006 memory: 5148 grad_norm: 6.3190 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7197 loss: 1.7197 2022/06/28 02:56:15 - mmengine - INFO - Epoch(train) [34][300/3757] lr: 1.000e-02 eta: 18:31:27 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 4.9825 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2414 loss: 2.2414 2022/06/28 02:56:21 - mmengine - INFO - Epoch(train) [34][320/3757] lr: 1.000e-02 eta: 18:31:22 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.9981 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9489 loss: 1.9489 2022/06/28 02:56:27 - mmengine - INFO - Epoch(train) [34][340/3757] lr: 1.000e-02 eta: 18:31:19 time: 0.234 data_time: 0.007 memory: 5148 grad_norm: 5.5537 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1326 loss: 2.1326 2022/06/28 02:56:31 - mmengine - INFO - Epoch(train) [34][360/3757] lr: 1.000e-02 eta: 18:31:12 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 5.8849 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2083 loss: 2.2083 2022/06/28 02:56:37 - mmengine - INFO - Epoch(train) [34][380/3757] lr: 1.000e-02 eta: 18:31:07 time: 0.209 data_time: 0.006 memory: 5148 grad_norm: 6.2936 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9730 loss: 1.9730 2022/06/28 02:56:42 - mmengine - INFO - Epoch(train) [34][400/3757] lr: 1.000e-02 eta: 18:31:02 time: 0.207 data_time: 0.006 memory: 5148 grad_norm: 5.5798 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0539 loss: 2.0539 2022/06/28 02:56:48 - mmengine - INFO - Epoch(train) [34][420/3757] lr: 1.000e-02 eta: 18:30:57 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.7814 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6534 loss: 1.6534 2022/06/28 02:56:53 - mmengine - INFO - Epoch(train) [34][440/3757] lr: 1.000e-02 eta: 18:30:51 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 5.4698 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0591 loss: 2.0591 2022/06/28 02:56:59 - mmengine - INFO - Epoch(train) [34][460/3757] lr: 1.000e-02 eta: 18:30:47 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 6.2644 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9080 loss: 1.9080 2022/06/28 02:57:04 - mmengine - INFO - Epoch(train) [34][480/3757] lr: 1.000e-02 eta: 18:30:41 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 6.2147 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9617 loss: 1.9617 2022/06/28 02:57:09 - mmengine - INFO - Epoch(train) [34][500/3757] lr: 1.000e-02 eta: 18:30:35 time: 0.212 data_time: 0.006 memory: 5148 grad_norm: 4.6417 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9960 loss: 1.9960 2022/06/28 02:57:15 - mmengine - INFO - Epoch(train) [34][520/3757] lr: 1.000e-02 eta: 18:30:31 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 5.4811 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8300 loss: 1.8300 2022/06/28 02:57:20 - mmengine - INFO - Epoch(train) [34][540/3757] lr: 1.000e-02 eta: 18:30:26 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 5.1719 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0123 loss: 2.0123 2022/06/28 02:57:25 - mmengine - INFO - Epoch(train) [34][560/3757] lr: 1.000e-02 eta: 18:30:20 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 5.0880 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8947 loss: 1.8947 2022/06/28 02:57:31 - mmengine - INFO - Epoch(train) [34][580/3757] lr: 1.000e-02 eta: 18:30:16 time: 0.227 data_time: 0.007 memory: 5148 grad_norm: 5.2653 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8869 loss: 1.8869 2022/06/28 02:57:36 - mmengine - INFO - Epoch(train) [34][600/3757] lr: 1.000e-02 eta: 18:30:10 time: 0.212 data_time: 0.008 memory: 5148 grad_norm: 6.7987 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8931 loss: 1.8931 2022/06/28 02:57:41 - mmengine - INFO - Epoch(train) [34][620/3757] lr: 1.000e-02 eta: 18:30:04 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 5.6613 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1165 loss: 2.1165 2022/06/28 02:57:47 - mmengine - INFO - Epoch(train) [34][640/3757] lr: 1.000e-02 eta: 18:30:00 time: 0.216 data_time: 0.006 memory: 5148 grad_norm: 5.8530 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6669 loss: 1.6669 2022/06/28 02:57:52 - mmengine - INFO - Epoch(train) [34][660/3757] lr: 1.000e-02 eta: 18:29:54 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.4925 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3378 loss: 2.3378 2022/06/28 02:57:57 - mmengine - INFO - Epoch(train) [34][680/3757] lr: 1.000e-02 eta: 18:29:49 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 6.0378 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2457 loss: 2.2457 2022/06/28 02:58:02 - mmengine - INFO - Epoch(train) [34][700/3757] lr: 1.000e-02 eta: 18:29:43 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 5.4757 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0250 loss: 2.0250 2022/06/28 02:58:07 - mmengine - INFO - Epoch(train) [34][720/3757] lr: 1.000e-02 eta: 18:29:37 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.9183 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.9126 loss: 1.9126 2022/06/28 02:58:13 - mmengine - INFO - Epoch(train) [34][740/3757] lr: 1.000e-02 eta: 18:29:32 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.5624 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9355 loss: 1.9355 2022/06/28 02:58:18 - mmengine - INFO - Epoch(train) [34][760/3757] lr: 1.000e-02 eta: 18:29:27 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 5.7059 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7657 loss: 1.7657 2022/06/28 02:58:23 - mmengine - INFO - Epoch(train) [34][780/3757] lr: 1.000e-02 eta: 18:29:20 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 4.9800 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7615 loss: 1.7615 2022/06/28 02:58:29 - mmengine - INFO - Epoch(train) [34][800/3757] lr: 1.000e-02 eta: 18:29:16 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 5.5047 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6193 loss: 1.6193 2022/06/28 02:58:34 - mmengine - INFO - Epoch(train) [34][820/3757] lr: 1.000e-02 eta: 18:29:11 time: 0.253 data_time: 0.009 memory: 5148 grad_norm: 5.3471 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3881 loss: 2.3881 2022/06/28 02:58:39 - mmengine - INFO - Epoch(train) [34][840/3757] lr: 1.000e-02 eta: 18:29:04 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.8476 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7793 loss: 1.7793 2022/06/28 02:58:44 - mmengine - INFO - Epoch(train) [34][860/3757] lr: 1.000e-02 eta: 18:29:00 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.6151 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8782 loss: 1.8782 2022/06/28 02:58:50 - mmengine - INFO - Epoch(train) [34][880/3757] lr: 1.000e-02 eta: 18:28:55 time: 0.218 data_time: 0.042 memory: 5148 grad_norm: 5.7750 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7129 loss: 1.7129 2022/06/28 02:58:55 - mmengine - INFO - Epoch(train) [34][900/3757] lr: 1.000e-02 eta: 18:28:49 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.7348 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9654 loss: 1.9654 2022/06/28 02:59:01 - mmengine - INFO - Epoch(train) [34][920/3757] lr: 1.000e-02 eta: 18:28:45 time: 0.212 data_time: 0.010 memory: 5148 grad_norm: 6.1956 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9630 loss: 1.9630 2022/06/28 02:59:06 - mmengine - INFO - Epoch(train) [34][940/3757] lr: 1.000e-02 eta: 18:28:40 time: 0.595 data_time: 0.323 memory: 5148 grad_norm: 5.0511 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7906 loss: 1.7906 2022/06/28 02:59:11 - mmengine - INFO - Epoch(train) [34][960/3757] lr: 1.000e-02 eta: 18:28:34 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.9976 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3200 loss: 2.3200 2022/06/28 02:59:17 - mmengine - INFO - Epoch(train) [34][980/3757] lr: 1.000e-02 eta: 18:28:28 time: 0.349 data_time: 0.007 memory: 5148 grad_norm: 5.9676 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8460 loss: 1.8460 2022/06/28 02:59:22 - mmengine - INFO - Epoch(train) [34][1000/3757] lr: 1.000e-02 eta: 18:28:24 time: 0.580 data_time: 0.007 memory: 5148 grad_norm: 5.3288 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0745 loss: 2.0745 2022/06/28 02:59:27 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 02:59:27 - mmengine - INFO - Epoch(train) [34][1020/3757] lr: 1.000e-02 eta: 18:28:18 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 5.9955 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7853 loss: 1.7853 2022/06/28 02:59:32 - mmengine - INFO - Epoch(train) [34][1040/3757] lr: 1.000e-02 eta: 18:28:12 time: 0.216 data_time: 0.010 memory: 5148 grad_norm: 5.9952 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8525 loss: 1.8525 2022/06/28 02:59:38 - mmengine - INFO - Epoch(train) [34][1060/3757] lr: 1.000e-02 eta: 18:28:07 time: 0.227 data_time: 0.007 memory: 5148 grad_norm: 5.6289 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0375 loss: 2.0375 2022/06/28 02:59:43 - mmengine - INFO - Epoch(train) [34][1080/3757] lr: 1.000e-02 eta: 18:28:01 time: 0.211 data_time: 0.012 memory: 5148 grad_norm: 5.5071 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5207 loss: 1.5207 2022/06/28 02:59:49 - mmengine - INFO - Epoch(train) [34][1100/3757] lr: 1.000e-02 eta: 18:27:57 time: 0.233 data_time: 0.008 memory: 5148 grad_norm: 5.0364 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9579 loss: 1.9579 2022/06/28 02:59:54 - mmengine - INFO - Epoch(train) [34][1120/3757] lr: 1.000e-02 eta: 18:27:52 time: 0.819 data_time: 0.011 memory: 5148 grad_norm: 5.3185 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4753 loss: 1.4753 2022/06/28 02:59:59 - mmengine - INFO - Epoch(train) [34][1140/3757] lr: 1.000e-02 eta: 18:27:46 time: 0.209 data_time: 0.015 memory: 5148 grad_norm: 6.5647 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3139 loss: 2.3139 2022/06/28 03:00:05 - mmengine - INFO - Epoch(train) [34][1160/3757] lr: 1.000e-02 eta: 18:27:41 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 5.4419 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6233 loss: 1.6233 2022/06/28 03:00:10 - mmengine - INFO - Epoch(train) [34][1180/3757] lr: 1.000e-02 eta: 18:27:37 time: 0.883 data_time: 0.015 memory: 5148 grad_norm: 6.0290 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0583 loss: 2.0583 2022/06/28 03:00:15 - mmengine - INFO - Epoch(train) [34][1200/3757] lr: 1.000e-02 eta: 18:27:30 time: 0.211 data_time: 0.015 memory: 5148 grad_norm: 5.7376 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6179 loss: 1.6179 2022/06/28 03:00:20 - mmengine - INFO - Epoch(train) [34][1220/3757] lr: 1.000e-02 eta: 18:27:25 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.5694 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9140 loss: 1.9140 2022/06/28 03:00:26 - mmengine - INFO - Epoch(train) [34][1240/3757] lr: 1.000e-02 eta: 18:27:20 time: 0.433 data_time: 0.009 memory: 5148 grad_norm: 6.0090 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3107 loss: 2.3107 2022/06/28 03:00:31 - mmengine - INFO - Epoch(train) [34][1260/3757] lr: 1.000e-02 eta: 18:27:15 time: 0.204 data_time: 0.021 memory: 5148 grad_norm: 6.0183 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3992 loss: 2.3992 2022/06/28 03:00:37 - mmengine - INFO - Epoch(train) [34][1280/3757] lr: 1.000e-02 eta: 18:27:10 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.1974 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1634 loss: 2.1634 2022/06/28 03:00:42 - mmengine - INFO - Epoch(train) [34][1300/3757] lr: 1.000e-02 eta: 18:27:05 time: 0.858 data_time: 0.014 memory: 5148 grad_norm: 5.7370 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5839 loss: 1.5839 2022/06/28 03:00:48 - mmengine - INFO - Epoch(train) [34][1320/3757] lr: 1.000e-02 eta: 18:27:00 time: 0.213 data_time: 0.013 memory: 5148 grad_norm: 6.1756 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3909 loss: 2.3909 2022/06/28 03:00:53 - mmengine - INFO - Epoch(train) [34][1340/3757] lr: 1.000e-02 eta: 18:26:54 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.5203 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2440 loss: 2.2440 2022/06/28 03:00:58 - mmengine - INFO - Epoch(train) [34][1360/3757] lr: 1.000e-02 eta: 18:26:49 time: 0.845 data_time: 0.013 memory: 5148 grad_norm: 5.5406 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.4602 loss: 2.4602 2022/06/28 03:01:04 - mmengine - INFO - Epoch(train) [34][1380/3757] lr: 1.000e-02 eta: 18:26:44 time: 0.209 data_time: 0.015 memory: 5148 grad_norm: 5.9758 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1074 loss: 2.1074 2022/06/28 03:01:09 - mmengine - INFO - Epoch(train) [34][1400/3757] lr: 1.000e-02 eta: 18:26:39 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.6897 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7655 loss: 1.7655 2022/06/28 03:01:14 - mmengine - INFO - Epoch(train) [34][1420/3757] lr: 1.000e-02 eta: 18:26:32 time: 0.229 data_time: 0.009 memory: 5148 grad_norm: 5.8185 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8368 loss: 1.8368 2022/06/28 03:01:19 - mmengine - INFO - Epoch(train) [34][1440/3757] lr: 1.000e-02 eta: 18:26:27 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 5.8029 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8985 loss: 1.8985 2022/06/28 03:01:24 - mmengine - INFO - Epoch(train) [34][1460/3757] lr: 1.000e-02 eta: 18:26:22 time: 0.197 data_time: 0.016 memory: 5148 grad_norm: 5.3416 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6044 loss: 1.6044 2022/06/28 03:01:30 - mmengine - INFO - Epoch(train) [34][1480/3757] lr: 1.000e-02 eta: 18:26:17 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 6.5627 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1248 loss: 2.1248 2022/06/28 03:01:36 - mmengine - INFO - Epoch(train) [34][1500/3757] lr: 1.000e-02 eta: 18:26:13 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 5.5050 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0557 loss: 2.0557 2022/06/28 03:01:41 - mmengine - INFO - Epoch(train) [34][1520/3757] lr: 1.000e-02 eta: 18:26:06 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 6.0791 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0125 loss: 2.0125 2022/06/28 03:01:46 - mmengine - INFO - Epoch(train) [34][1540/3757] lr: 1.000e-02 eta: 18:26:02 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 6.7048 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6847 loss: 1.6847 2022/06/28 03:01:52 - mmengine - INFO - Epoch(train) [34][1560/3757] lr: 1.000e-02 eta: 18:25:57 time: 0.192 data_time: 0.011 memory: 5148 grad_norm: 5.0167 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9337 loss: 1.9337 2022/06/28 03:01:57 - mmengine - INFO - Epoch(train) [34][1580/3757] lr: 1.000e-02 eta: 18:25:52 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.7033 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9281 loss: 1.9281 2022/06/28 03:02:02 - mmengine - INFO - Epoch(train) [34][1600/3757] lr: 1.000e-02 eta: 18:25:46 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 5.2598 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9591 loss: 1.9591 2022/06/28 03:02:08 - mmengine - INFO - Epoch(train) [34][1620/3757] lr: 1.000e-02 eta: 18:25:42 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.3415 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0936 loss: 2.0936 2022/06/28 03:02:13 - mmengine - INFO - Epoch(train) [34][1640/3757] lr: 1.000e-02 eta: 18:25:36 time: 0.192 data_time: 0.012 memory: 5148 grad_norm: 5.0727 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9344 loss: 1.9344 2022/06/28 03:02:18 - mmengine - INFO - Epoch(train) [34][1660/3757] lr: 1.000e-02 eta: 18:25:30 time: 0.205 data_time: 0.016 memory: 5148 grad_norm: 5.6487 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8331 loss: 1.8331 2022/06/28 03:02:24 - mmengine - INFO - Epoch(train) [34][1680/3757] lr: 1.000e-02 eta: 18:25:25 time: 0.213 data_time: 0.006 memory: 5148 grad_norm: 4.5516 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3770 loss: 2.3770 2022/06/28 03:02:29 - mmengine - INFO - Epoch(train) [34][1700/3757] lr: 1.000e-02 eta: 18:25:20 time: 0.202 data_time: 0.014 memory: 5148 grad_norm: 4.8994 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1890 loss: 2.1890 2022/06/28 03:02:34 - mmengine - INFO - Epoch(train) [34][1720/3757] lr: 1.000e-02 eta: 18:25:14 time: 0.199 data_time: 0.025 memory: 5148 grad_norm: 5.5133 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9240 loss: 1.9240 2022/06/28 03:02:40 - mmengine - INFO - Epoch(train) [34][1740/3757] lr: 1.000e-02 eta: 18:25:10 time: 0.207 data_time: 0.006 memory: 5148 grad_norm: 5.9230 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3093 loss: 2.3093 2022/06/28 03:02:45 - mmengine - INFO - Epoch(train) [34][1760/3757] lr: 1.000e-02 eta: 18:25:04 time: 0.216 data_time: 0.008 memory: 5148 grad_norm: 6.0578 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4364 loss: 2.4364 2022/06/28 03:02:50 - mmengine - INFO - Epoch(train) [34][1780/3757] lr: 1.000e-02 eta: 18:24:58 time: 0.196 data_time: 0.014 memory: 5148 grad_norm: 6.3872 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9387 loss: 1.9387 2022/06/28 03:02:56 - mmengine - INFO - Epoch(train) [34][1800/3757] lr: 1.000e-02 eta: 18:24:53 time: 0.216 data_time: 0.011 memory: 5148 grad_norm: 5.8179 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0392 loss: 2.0392 2022/06/28 03:03:01 - mmengine - INFO - Epoch(train) [34][1820/3757] lr: 1.000e-02 eta: 18:24:47 time: 0.196 data_time: 0.012 memory: 5148 grad_norm: 5.5026 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0702 loss: 2.0702 2022/06/28 03:03:06 - mmengine - INFO - Epoch(train) [34][1840/3757] lr: 1.000e-02 eta: 18:24:42 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 6.2430 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0370 loss: 2.0370 2022/06/28 03:03:12 - mmengine - INFO - Epoch(train) [34][1860/3757] lr: 1.000e-02 eta: 18:24:37 time: 0.216 data_time: 0.010 memory: 5148 grad_norm: 6.4486 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8365 loss: 1.8365 2022/06/28 03:03:16 - mmengine - INFO - Epoch(train) [34][1880/3757] lr: 1.000e-02 eta: 18:24:31 time: 0.209 data_time: 0.009 memory: 5148 grad_norm: 5.1206 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8300 loss: 1.8300 2022/06/28 03:03:22 - mmengine - INFO - Epoch(train) [34][1900/3757] lr: 1.000e-02 eta: 18:24:26 time: 0.195 data_time: 0.006 memory: 5148 grad_norm: 6.4392 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1788 loss: 2.1788 2022/06/28 03:03:28 - mmengine - INFO - Epoch(train) [34][1920/3757] lr: 1.000e-02 eta: 18:24:22 time: 0.212 data_time: 0.022 memory: 5148 grad_norm: 5.4841 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0809 loss: 2.0809 2022/06/28 03:03:32 - mmengine - INFO - Epoch(train) [34][1940/3757] lr: 1.000e-02 eta: 18:24:15 time: 0.218 data_time: 0.007 memory: 5148 grad_norm: 5.3173 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1996 loss: 2.1996 2022/06/28 03:03:38 - mmengine - INFO - Epoch(train) [34][1960/3757] lr: 1.000e-02 eta: 18:24:11 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 6.1001 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1380 loss: 2.1380 2022/06/28 03:03:44 - mmengine - INFO - Epoch(train) [34][1980/3757] lr: 1.000e-02 eta: 18:24:06 time: 0.203 data_time: 0.024 memory: 5148 grad_norm: 5.5452 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0908 loss: 2.0908 2022/06/28 03:03:49 - mmengine - INFO - Epoch(train) [34][2000/3757] lr: 1.000e-02 eta: 18:24:00 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.2080 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9293 loss: 1.9293 2022/06/28 03:03:54 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 03:03:54 - mmengine - INFO - Epoch(train) [34][2020/3757] lr: 1.000e-02 eta: 18:23:54 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.9523 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2748 loss: 2.2748 2022/06/28 03:03:59 - mmengine - INFO - Epoch(train) [34][2040/3757] lr: 1.000e-02 eta: 18:23:50 time: 0.218 data_time: 0.012 memory: 5148 grad_norm: 5.2626 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9931 loss: 1.9931 2022/06/28 03:04:04 - mmengine - INFO - Epoch(train) [34][2060/3757] lr: 1.000e-02 eta: 18:23:43 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 6.4666 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9544 loss: 1.9544 2022/06/28 03:04:10 - mmengine - INFO - Epoch(train) [34][2080/3757] lr: 1.000e-02 eta: 18:23:39 time: 0.192 data_time: 0.008 memory: 5148 grad_norm: 5.8316 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9102 loss: 1.9102 2022/06/28 03:04:15 - mmengine - INFO - Epoch(train) [34][2100/3757] lr: 1.000e-02 eta: 18:23:34 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 5.0738 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9783 loss: 1.9783 2022/06/28 03:04:20 - mmengine - INFO - Epoch(train) [34][2120/3757] lr: 1.000e-02 eta: 18:23:27 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.5529 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1090 loss: 2.1090 2022/06/28 03:04:26 - mmengine - INFO - Epoch(train) [34][2140/3757] lr: 1.000e-02 eta: 18:23:23 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 6.2322 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0176 loss: 2.0176 2022/06/28 03:04:32 - mmengine - INFO - Epoch(train) [34][2160/3757] lr: 1.000e-02 eta: 18:23:18 time: 0.205 data_time: 0.017 memory: 5148 grad_norm: 6.1493 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9534 loss: 1.9534 2022/06/28 03:04:36 - mmengine - INFO - Epoch(train) [34][2180/3757] lr: 1.000e-02 eta: 18:23:12 time: 0.214 data_time: 0.008 memory: 5148 grad_norm: 5.6160 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8584 loss: 1.8584 2022/06/28 03:04:42 - mmengine - INFO - Epoch(train) [34][2200/3757] lr: 1.000e-02 eta: 18:23:07 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 6.0066 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1690 loss: 2.1690 2022/06/28 03:04:48 - mmengine - INFO - Epoch(train) [34][2220/3757] lr: 1.000e-02 eta: 18:23:03 time: 0.210 data_time: 0.031 memory: 5148 grad_norm: 5.3914 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2419 loss: 2.2419 2022/06/28 03:04:52 - mmengine - INFO - Epoch(train) [34][2240/3757] lr: 1.000e-02 eta: 18:22:56 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 6.0676 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1183 loss: 2.1183 2022/06/28 03:04:58 - mmengine - INFO - Epoch(train) [34][2260/3757] lr: 1.000e-02 eta: 18:22:51 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.0115 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2273 loss: 2.2273 2022/06/28 03:05:03 - mmengine - INFO - Epoch(train) [34][2280/3757] lr: 1.000e-02 eta: 18:22:46 time: 0.210 data_time: 0.024 memory: 5148 grad_norm: 6.1006 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8160 loss: 1.8160 2022/06/28 03:05:08 - mmengine - INFO - Epoch(train) [34][2300/3757] lr: 1.000e-02 eta: 18:22:40 time: 0.209 data_time: 0.006 memory: 5148 grad_norm: 6.0382 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0738 loss: 2.0738 2022/06/28 03:05:14 - mmengine - INFO - Epoch(train) [34][2320/3757] lr: 1.000e-02 eta: 18:22:36 time: 0.220 data_time: 0.007 memory: 5148 grad_norm: 5.6860 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1147 loss: 2.1147 2022/06/28 03:05:20 - mmengine - INFO - Epoch(train) [34][2340/3757] lr: 1.000e-02 eta: 18:22:31 time: 0.211 data_time: 0.036 memory: 5148 grad_norm: 5.1680 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0808 loss: 2.0808 2022/06/28 03:05:24 - mmengine - INFO - Epoch(train) [34][2360/3757] lr: 1.000e-02 eta: 18:22:25 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.4865 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2165 loss: 2.2165 2022/06/28 03:05:30 - mmengine - INFO - Epoch(train) [34][2380/3757] lr: 1.000e-02 eta: 18:22:19 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.9265 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9759 loss: 1.9759 2022/06/28 03:05:35 - mmengine - INFO - Epoch(train) [34][2400/3757] lr: 1.000e-02 eta: 18:22:14 time: 0.209 data_time: 0.033 memory: 5148 grad_norm: 5.9782 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9777 loss: 1.9777 2022/06/28 03:05:41 - mmengine - INFO - Epoch(train) [34][2420/3757] lr: 1.000e-02 eta: 18:22:10 time: 0.848 data_time: 0.006 memory: 5148 grad_norm: 5.1924 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3137 loss: 2.3137 2022/06/28 03:05:46 - mmengine - INFO - Epoch(train) [34][2440/3757] lr: 1.000e-02 eta: 18:22:04 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 4.6636 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2460 loss: 2.2460 2022/06/28 03:05:52 - mmengine - INFO - Epoch(train) [34][2460/3757] lr: 1.000e-02 eta: 18:22:00 time: 0.209 data_time: 0.031 memory: 5148 grad_norm: 5.6350 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8572 loss: 1.8572 2022/06/28 03:05:57 - mmengine - INFO - Epoch(train) [34][2480/3757] lr: 1.000e-02 eta: 18:21:53 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.7658 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2080 loss: 2.2080 2022/06/28 03:06:02 - mmengine - INFO - Epoch(train) [34][2500/3757] lr: 1.000e-02 eta: 18:21:49 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 5.6441 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8095 loss: 1.8095 2022/06/28 03:06:09 - mmengine - INFO - Epoch(train) [34][2520/3757] lr: 1.000e-02 eta: 18:21:45 time: 0.208 data_time: 0.029 memory: 5148 grad_norm: 5.3634 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4172 loss: 2.4172 2022/06/28 03:06:13 - mmengine - INFO - Epoch(train) [34][2540/3757] lr: 1.000e-02 eta: 18:21:38 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.4432 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0190 loss: 2.0190 2022/06/28 03:06:18 - mmengine - INFO - Epoch(train) [34][2560/3757] lr: 1.000e-02 eta: 18:21:32 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 6.0013 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0724 loss: 2.0724 2022/06/28 03:06:23 - mmengine - INFO - Epoch(train) [34][2580/3757] lr: 1.000e-02 eta: 18:21:26 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.2929 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0197 loss: 2.0197 2022/06/28 03:06:28 - mmengine - INFO - Epoch(train) [34][2600/3757] lr: 1.000e-02 eta: 18:21:21 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 6.4543 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0766 loss: 2.0766 2022/06/28 03:06:33 - mmengine - INFO - Epoch(train) [34][2620/3757] lr: 1.000e-02 eta: 18:21:15 time: 0.219 data_time: 0.007 memory: 5148 grad_norm: 5.8345 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6590 loss: 1.6590 2022/06/28 03:06:39 - mmengine - INFO - Epoch(train) [34][2640/3757] lr: 1.000e-02 eta: 18:21:11 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.0008 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9535 loss: 1.9535 2022/06/28 03:06:44 - mmengine - INFO - Epoch(train) [34][2660/3757] lr: 1.000e-02 eta: 18:21:06 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 5.4432 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5255 loss: 1.5255 2022/06/28 03:06:50 - mmengine - INFO - Epoch(train) [34][2680/3757] lr: 1.000e-02 eta: 18:21:01 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 4.7720 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1654 loss: 2.1654 2022/06/28 03:06:55 - mmengine - INFO - Epoch(train) [34][2700/3757] lr: 1.000e-02 eta: 18:20:55 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.2541 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9459 loss: 1.9459 2022/06/28 03:07:00 - mmengine - INFO - Epoch(train) [34][2720/3757] lr: 1.000e-02 eta: 18:20:49 time: 0.195 data_time: 0.015 memory: 5148 grad_norm: 5.5889 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9115 loss: 1.9115 2022/06/28 03:07:06 - mmengine - INFO - Epoch(train) [34][2740/3757] lr: 1.000e-02 eta: 18:20:44 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 5.6862 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8853 loss: 1.8853 2022/06/28 03:07:11 - mmengine - INFO - Epoch(train) [34][2760/3757] lr: 1.000e-02 eta: 18:20:40 time: 0.423 data_time: 0.008 memory: 5148 grad_norm: 6.5694 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6502 loss: 1.6502 2022/06/28 03:07:17 - mmengine - INFO - Epoch(train) [34][2780/3757] lr: 1.000e-02 eta: 18:20:35 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 5.1317 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1908 loss: 2.1908 2022/06/28 03:07:22 - mmengine - INFO - Epoch(train) [34][2800/3757] lr: 1.000e-02 eta: 18:20:30 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.2460 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 1.8778 loss: 1.8778 2022/06/28 03:07:28 - mmengine - INFO - Epoch(train) [34][2820/3757] lr: 1.000e-02 eta: 18:20:25 time: 0.197 data_time: 0.013 memory: 5148 grad_norm: 5.5329 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6624 loss: 2.6624 2022/06/28 03:07:33 - mmengine - INFO - Epoch(train) [34][2840/3757] lr: 1.000e-02 eta: 18:20:19 time: 0.207 data_time: 0.013 memory: 5148 grad_norm: 6.3550 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7096 loss: 1.7096 2022/06/28 03:07:38 - mmengine - INFO - Epoch(train) [34][2860/3757] lr: 1.000e-02 eta: 18:20:14 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 5.6488 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7537 loss: 1.7537 2022/06/28 03:07:44 - mmengine - INFO - Epoch(train) [34][2880/3757] lr: 1.000e-02 eta: 18:20:09 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.8390 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3021 loss: 2.3021 2022/06/28 03:07:50 - mmengine - INFO - Epoch(train) [34][2900/3757] lr: 1.000e-02 eta: 18:20:05 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 4.5230 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3623 loss: 2.3623 2022/06/28 03:07:54 - mmengine - INFO - Epoch(train) [34][2920/3757] lr: 1.000e-02 eta: 18:19:57 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.0725 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7952 loss: 1.7952 2022/06/28 03:08:00 - mmengine - INFO - Epoch(train) [34][2940/3757] lr: 1.000e-02 eta: 18:19:53 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.6472 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9074 loss: 1.9074 2022/06/28 03:08:04 - mmengine - INFO - Epoch(train) [34][2960/3757] lr: 1.000e-02 eta: 18:19:47 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 5.9465 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7135 loss: 1.7135 2022/06/28 03:08:10 - mmengine - INFO - Epoch(train) [34][2980/3757] lr: 1.000e-02 eta: 18:19:42 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 5.2458 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1253 loss: 2.1253 2022/06/28 03:08:16 - mmengine - INFO - Epoch(train) [34][3000/3757] lr: 1.000e-02 eta: 18:19:38 time: 0.197 data_time: 0.013 memory: 5148 grad_norm: 5.0520 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6554 loss: 1.6554 2022/06/28 03:08:21 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 03:08:21 - mmengine - INFO - Epoch(train) [34][3020/3757] lr: 1.000e-02 eta: 18:19:32 time: 0.200 data_time: 0.017 memory: 5148 grad_norm: 5.1069 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9476 loss: 1.9476 2022/06/28 03:08:26 - mmengine - INFO - Epoch(train) [34][3040/3757] lr: 1.000e-02 eta: 18:19:26 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.4934 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0523 loss: 2.0523 2022/06/28 03:08:31 - mmengine - INFO - Epoch(train) [34][3060/3757] lr: 1.000e-02 eta: 18:19:21 time: 0.195 data_time: 0.017 memory: 5148 grad_norm: 5.7152 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8913 loss: 1.8913 2022/06/28 03:08:37 - mmengine - INFO - Epoch(train) [34][3080/3757] lr: 1.000e-02 eta: 18:19:15 time: 0.213 data_time: 0.011 memory: 5148 grad_norm: 4.9593 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3846 loss: 2.3846 2022/06/28 03:08:42 - mmengine - INFO - Epoch(train) [34][3100/3757] lr: 1.000e-02 eta: 18:19:11 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 5.5756 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8267 loss: 1.8267 2022/06/28 03:08:48 - mmengine - INFO - Epoch(train) [34][3120/3757] lr: 1.000e-02 eta: 18:19:06 time: 0.205 data_time: 0.020 memory: 5148 grad_norm: 4.7900 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5783 loss: 1.5783 2022/06/28 03:08:52 - mmengine - INFO - Epoch(train) [34][3140/3757] lr: 1.000e-02 eta: 18:18:59 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 4.9853 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5981 loss: 1.5981 2022/06/28 03:08:58 - mmengine - INFO - Epoch(train) [34][3160/3757] lr: 1.000e-02 eta: 18:18:54 time: 0.212 data_time: 0.009 memory: 5148 grad_norm: 5.5696 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3245 loss: 2.3245 2022/06/28 03:09:03 - mmengine - INFO - Epoch(train) [34][3180/3757] lr: 1.000e-02 eta: 18:18:48 time: 0.202 data_time: 0.012 memory: 5148 grad_norm: 5.4307 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9803 loss: 1.9803 2022/06/28 03:09:08 - mmengine - INFO - Epoch(train) [34][3200/3757] lr: 1.000e-02 eta: 18:18:42 time: 0.200 data_time: 0.013 memory: 5148 grad_norm: 5.9045 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7980 loss: 1.7980 2022/06/28 03:09:14 - mmengine - INFO - Epoch(train) [34][3220/3757] lr: 1.000e-02 eta: 18:18:38 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 6.5463 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9256 loss: 1.9256 2022/06/28 03:09:19 - mmengine - INFO - Epoch(train) [34][3240/3757] lr: 1.000e-02 eta: 18:18:33 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 4.8467 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1989 loss: 2.1989 2022/06/28 03:09:24 - mmengine - INFO - Epoch(train) [34][3260/3757] lr: 1.000e-02 eta: 18:18:27 time: 0.202 data_time: 0.014 memory: 5148 grad_norm: 5.8451 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3898 loss: 2.3898 2022/06/28 03:09:30 - mmengine - INFO - Epoch(train) [34][3280/3757] lr: 1.000e-02 eta: 18:18:23 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 5.5255 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1230 loss: 2.1230 2022/06/28 03:09:36 - mmengine - INFO - Epoch(train) [34][3300/3757] lr: 1.000e-02 eta: 18:18:18 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 4.6263 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9894 loss: 1.9894 2022/06/28 03:09:40 - mmengine - INFO - Epoch(train) [34][3320/3757] lr: 1.000e-02 eta: 18:18:12 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.8809 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6229 loss: 1.6229 2022/06/28 03:09:46 - mmengine - INFO - Epoch(train) [34][3340/3757] lr: 1.000e-02 eta: 18:18:06 time: 0.197 data_time: 0.015 memory: 5148 grad_norm: 4.7887 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2124 loss: 2.2124 2022/06/28 03:09:51 - mmengine - INFO - Epoch(train) [34][3360/3757] lr: 1.000e-02 eta: 18:18:02 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.8701 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5499 loss: 1.5499 2022/06/28 03:09:56 - mmengine - INFO - Epoch(train) [34][3380/3757] lr: 1.000e-02 eta: 18:17:55 time: 0.219 data_time: 0.006 memory: 5148 grad_norm: 5.0888 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6479 loss: 1.6479 2022/06/28 03:10:02 - mmengine - INFO - Epoch(train) [34][3400/3757] lr: 1.000e-02 eta: 18:17:50 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 5.4528 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3962 loss: 2.3962 2022/06/28 03:10:08 - mmengine - INFO - Epoch(train) [34][3420/3757] lr: 1.000e-02 eta: 18:17:48 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 5.6022 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1417 loss: 2.1417 2022/06/28 03:10:13 - mmengine - INFO - Epoch(train) [34][3440/3757] lr: 1.000e-02 eta: 18:17:41 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 4.8267 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3336 loss: 2.3336 2022/06/28 03:10:18 - mmengine - INFO - Epoch(train) [34][3460/3757] lr: 1.000e-02 eta: 18:17:36 time: 0.194 data_time: 0.015 memory: 5148 grad_norm: 5.9924 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9511 loss: 1.9511 2022/06/28 03:10:24 - mmengine - INFO - Epoch(train) [34][3480/3757] lr: 1.000e-02 eta: 18:17:32 time: 0.228 data_time: 0.011 memory: 5148 grad_norm: 4.9091 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3857 loss: 2.3857 2022/06/28 03:10:29 - mmengine - INFO - Epoch(train) [34][3500/3757] lr: 1.000e-02 eta: 18:17:25 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 5.8155 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8976 loss: 1.8976 2022/06/28 03:10:34 - mmengine - INFO - Epoch(train) [34][3520/3757] lr: 1.000e-02 eta: 18:17:20 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 5.8822 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 1.8640 loss: 1.8640 2022/06/28 03:10:39 - mmengine - INFO - Epoch(train) [34][3540/3757] lr: 1.000e-02 eta: 18:17:14 time: 0.195 data_time: 0.013 memory: 5148 grad_norm: 5.7002 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8232 loss: 1.8232 2022/06/28 03:10:45 - mmengine - INFO - Epoch(train) [34][3560/3757] lr: 1.000e-02 eta: 18:17:09 time: 0.213 data_time: 0.006 memory: 5148 grad_norm: 5.4149 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1719 loss: 2.1719 2022/06/28 03:10:50 - mmengine - INFO - Epoch(train) [34][3580/3757] lr: 1.000e-02 eta: 18:17:04 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 5.4010 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2335 loss: 2.2335 2022/06/28 03:10:56 - mmengine - INFO - Epoch(train) [34][3600/3757] lr: 1.000e-02 eta: 18:16:59 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 5.0249 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8199 loss: 1.8199 2022/06/28 03:11:00 - mmengine - INFO - Epoch(train) [34][3620/3757] lr: 1.000e-02 eta: 18:16:53 time: 0.208 data_time: 0.016 memory: 5148 grad_norm: 5.0913 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0573 loss: 2.0573 2022/06/28 03:11:06 - mmengine - INFO - Epoch(train) [34][3640/3757] lr: 1.000e-02 eta: 18:16:48 time: 0.202 data_time: 0.012 memory: 5148 grad_norm: 6.1042 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1469 loss: 2.1469 2022/06/28 03:11:12 - mmengine - INFO - Epoch(train) [34][3660/3757] lr: 1.000e-02 eta: 18:16:44 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 6.2170 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1736 loss: 2.1736 2022/06/28 03:11:16 - mmengine - INFO - Epoch(train) [34][3680/3757] lr: 1.000e-02 eta: 18:16:37 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 5.6538 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0525 loss: 2.0525 2022/06/28 03:11:22 - mmengine - INFO - Epoch(train) [34][3700/3757] lr: 1.000e-02 eta: 18:16:33 time: 0.202 data_time: 0.017 memory: 5148 grad_norm: 5.4632 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8485 loss: 1.8485 2022/06/28 03:11:26 - mmengine - INFO - Epoch(train) [34][3720/3757] lr: 1.000e-02 eta: 18:16:25 time: 0.209 data_time: 0.011 memory: 5148 grad_norm: 5.4646 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1738 loss: 2.1738 2022/06/28 03:11:31 - mmengine - INFO - Epoch(train) [34][3740/3757] lr: 1.000e-02 eta: 18:16:19 time: 0.578 data_time: 0.011 memory: 5148 grad_norm: 5.7902 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3363 loss: 2.3363 2022/06/28 03:11:35 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 03:11:42 - mmengine - INFO - Epoch(val) [34][20/310] eta: 0:01:17 time: 0.407 data_time: 0.336 memory: 5148 2022/06/28 03:11:46 - mmengine - INFO - Epoch(val) [34][40/310] eta: 0:00:58 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 03:11:52 - mmengine - INFO - Epoch(val) [34][60/310] eta: 0:00:53 time: 0.080 data_time: 0.008 memory: 1367 2022/06/28 03:11:57 - mmengine - INFO - Epoch(val) [34][80/310] eta: 0:00:54 time: 0.088 data_time: 0.013 memory: 1367 2022/06/28 03:12:03 - mmengine - INFO - Epoch(val) [34][100/310] eta: 0:00:53 time: 0.083 data_time: 0.005 memory: 1367 2022/06/28 03:12:08 - mmengine - INFO - Epoch(val) [34][120/310] eta: 0:00:48 time: 0.085 data_time: 0.008 memory: 1367 2022/06/28 03:12:14 - mmengine - INFO - Epoch(val) [34][140/310] eta: 0:00:52 time: 0.290 data_time: 0.209 memory: 1367 2022/06/28 03:12:19 - mmengine - INFO - Epoch(val) [34][160/310] eta: 0:00:40 time: 0.541 data_time: 0.469 memory: 1367 2022/06/28 03:12:25 - mmengine - INFO - Epoch(val) [34][180/310] eta: 0:00:46 time: 0.577 data_time: 0.497 memory: 1367 2022/06/28 03:12:29 - mmengine - INFO - Epoch(val) [34][200/310] eta: 0:00:26 time: 0.086 data_time: 0.014 memory: 1367 2022/06/28 03:12:35 - mmengine - INFO - Epoch(val) [34][220/310] eta: 0:00:35 time: 0.079 data_time: 0.005 memory: 1367 2022/06/28 03:12:40 - mmengine - INFO - Epoch(val) [34][240/310] eta: 0:00:15 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 03:12:46 - mmengine - INFO - Epoch(val) [34][260/310] eta: 0:00:18 time: 0.440 data_time: 0.363 memory: 1367 2022/06/28 03:12:50 - mmengine - INFO - Epoch(val) [34][280/310] eta: 0:00:06 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 03:12:56 - mmengine - INFO - Epoch(val) [34][300/310] eta: 0:00:03 time: 0.258 data_time: 0.183 memory: 1367 2022/06/28 03:12:59 - mmengine - INFO - Epoch(val) [34][310/310] acc/top1: 0.5622 acc/top5: 0.7970 acc/mean1: 0.5620 2022/06/28 03:13:07 - mmengine - INFO - Epoch(train) [35][20/3757] lr: 1.000e-02 eta: 18:16:11 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.3265 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7378 loss: 1.7378 2022/06/28 03:13:13 - mmengine - INFO - Epoch(train) [35][40/3757] lr: 1.000e-02 eta: 18:16:07 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 5.9076 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2527 loss: 2.2527 2022/06/28 03:13:18 - mmengine - INFO - Epoch(train) [35][60/3757] lr: 1.000e-02 eta: 18:16:01 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 5.2957 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0294 loss: 2.0294 2022/06/28 03:13:23 - mmengine - INFO - Epoch(train) [35][80/3757] lr: 1.000e-02 eta: 18:15:55 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 4.8998 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8758 loss: 1.8758 2022/06/28 03:13:29 - mmengine - INFO - Epoch(train) [35][100/3757] lr: 1.000e-02 eta: 18:15:51 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 6.5856 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7443 loss: 1.7443 2022/06/28 03:13:34 - mmengine - INFO - Epoch(train) [35][120/3757] lr: 1.000e-02 eta: 18:15:45 time: 0.199 data_time: 0.014 memory: 5148 grad_norm: 5.6313 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9608 loss: 1.9608 2022/06/28 03:13:39 - mmengine - INFO - Epoch(train) [35][140/3757] lr: 1.000e-02 eta: 18:15:40 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.3901 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1065 loss: 2.1065 2022/06/28 03:13:46 - mmengine - INFO - Epoch(train) [35][160/3757] lr: 1.000e-02 eta: 18:15:36 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 4.5745 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1838 loss: 2.1838 2022/06/28 03:13:51 - mmengine - INFO - Epoch(train) [35][180/3757] lr: 1.000e-02 eta: 18:15:30 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.1140 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9877 loss: 1.9877 2022/06/28 03:13:56 - mmengine - INFO - Epoch(train) [35][200/3757] lr: 1.000e-02 eta: 18:15:25 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 5.7492 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0887 loss: 2.0887 2022/06/28 03:14:01 - mmengine - INFO - Epoch(train) [35][220/3757] lr: 1.000e-02 eta: 18:15:19 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 4.9948 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7894 loss: 1.7894 2022/06/28 03:14:06 - mmengine - INFO - Epoch(train) [35][240/3757] lr: 1.000e-02 eta: 18:15:13 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 4.8706 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4558 loss: 2.4558 2022/06/28 03:14:12 - mmengine - INFO - Epoch(train) [35][260/3757] lr: 1.000e-02 eta: 18:15:09 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 5.3315 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1659 loss: 2.1659 2022/06/28 03:14:12 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 03:14:17 - mmengine - INFO - Epoch(train) [35][280/3757] lr: 1.000e-02 eta: 18:15:04 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 5.1750 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5573 loss: 1.5573 2022/06/28 03:14:22 - mmengine - INFO - Epoch(train) [35][300/3757] lr: 1.000e-02 eta: 18:14:58 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 5.3503 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9194 loss: 1.9194 2022/06/28 03:14:28 - mmengine - INFO - Epoch(train) [35][320/3757] lr: 1.000e-02 eta: 18:14:54 time: 0.320 data_time: 0.007 memory: 5148 grad_norm: 5.5284 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1837 loss: 2.1837 2022/06/28 03:14:34 - mmengine - INFO - Epoch(train) [35][340/3757] lr: 1.000e-02 eta: 18:14:49 time: 0.294 data_time: 0.007 memory: 5148 grad_norm: 5.7597 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3448 loss: 2.3448 2022/06/28 03:14:39 - mmengine - INFO - Epoch(train) [35][360/3757] lr: 1.000e-02 eta: 18:14:43 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 5.5804 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5178 loss: 2.5178 2022/06/28 03:14:44 - mmengine - INFO - Epoch(train) [35][380/3757] lr: 1.000e-02 eta: 18:14:38 time: 0.223 data_time: 0.007 memory: 5148 grad_norm: 5.1942 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0249 loss: 2.0249 2022/06/28 03:14:50 - mmengine - INFO - Epoch(train) [35][400/3757] lr: 1.000e-02 eta: 18:14:33 time: 0.228 data_time: 0.007 memory: 5148 grad_norm: 5.2614 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1285 loss: 2.1285 2022/06/28 03:14:54 - mmengine - INFO - Epoch(train) [35][420/3757] lr: 1.000e-02 eta: 18:14:27 time: 0.192 data_time: 0.010 memory: 5148 grad_norm: 5.2064 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7846 loss: 1.7846 2022/06/28 03:15:00 - mmengine - INFO - Epoch(train) [35][440/3757] lr: 1.000e-02 eta: 18:14:22 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 6.0086 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9539 loss: 1.9539 2022/06/28 03:15:06 - mmengine - INFO - Epoch(train) [35][460/3757] lr: 1.000e-02 eta: 18:14:18 time: 1.085 data_time: 0.011 memory: 5148 grad_norm: 5.2320 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9328 loss: 1.9328 2022/06/28 03:15:11 - mmengine - INFO - Epoch(train) [35][480/3757] lr: 1.000e-02 eta: 18:14:12 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.9295 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8315 loss: 1.8315 2022/06/28 03:15:17 - mmengine - INFO - Epoch(train) [35][500/3757] lr: 1.000e-02 eta: 18:14:07 time: 0.194 data_time: 0.009 memory: 5148 grad_norm: 5.2407 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5845 loss: 1.5845 2022/06/28 03:15:22 - mmengine - INFO - Epoch(train) [35][520/3757] lr: 1.000e-02 eta: 18:14:02 time: 0.949 data_time: 0.010 memory: 5148 grad_norm: 6.4517 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0282 loss: 2.0282 2022/06/28 03:15:27 - mmengine - INFO - Epoch(train) [35][540/3757] lr: 1.000e-02 eta: 18:13:56 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 5.4268 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8467 loss: 1.8467 2022/06/28 03:15:32 - mmengine - INFO - Epoch(train) [35][560/3757] lr: 1.000e-02 eta: 18:13:50 time: 0.191 data_time: 0.006 memory: 5148 grad_norm: 5.7826 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2664 loss: 2.2664 2022/06/28 03:15:38 - mmengine - INFO - Epoch(train) [35][580/3757] lr: 1.000e-02 eta: 18:13:46 time: 0.989 data_time: 0.007 memory: 5148 grad_norm: 6.2542 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7414 loss: 1.7414 2022/06/28 03:15:43 - mmengine - INFO - Epoch(train) [35][600/3757] lr: 1.000e-02 eta: 18:13:40 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 4.9694 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9223 loss: 1.9223 2022/06/28 03:15:48 - mmengine - INFO - Epoch(train) [35][620/3757] lr: 1.000e-02 eta: 18:13:35 time: 0.210 data_time: 0.013 memory: 5148 grad_norm: 5.9320 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9537 loss: 1.9537 2022/06/28 03:15:54 - mmengine - INFO - Epoch(train) [35][640/3757] lr: 1.000e-02 eta: 18:13:30 time: 1.131 data_time: 0.007 memory: 5148 grad_norm: 5.6439 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8099 loss: 1.8099 2022/06/28 03:15:58 - mmengine - INFO - Epoch(train) [35][660/3757] lr: 1.000e-02 eta: 18:13:23 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 6.0455 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0554 loss: 2.0554 2022/06/28 03:16:04 - mmengine - INFO - Epoch(train) [35][680/3757] lr: 1.000e-02 eta: 18:13:18 time: 0.203 data_time: 0.026 memory: 5148 grad_norm: 6.2534 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1023 loss: 2.1023 2022/06/28 03:16:10 - mmengine - INFO - Epoch(train) [35][700/3757] lr: 1.000e-02 eta: 18:13:14 time: 0.219 data_time: 0.010 memory: 5148 grad_norm: 5.7778 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0268 loss: 2.0268 2022/06/28 03:16:15 - mmengine - INFO - Epoch(train) [35][720/3757] lr: 1.000e-02 eta: 18:13:08 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 6.1037 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8571 loss: 1.8571 2022/06/28 03:16:20 - mmengine - INFO - Epoch(train) [35][740/3757] lr: 1.000e-02 eta: 18:13:02 time: 0.543 data_time: 0.368 memory: 5148 grad_norm: 6.2288 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9836 loss: 1.9836 2022/06/28 03:16:25 - mmengine - INFO - Epoch(train) [35][760/3757] lr: 1.000e-02 eta: 18:12:57 time: 0.232 data_time: 0.007 memory: 5148 grad_norm: 5.1974 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2029 loss: 2.2029 2022/06/28 03:16:30 - mmengine - INFO - Epoch(train) [35][780/3757] lr: 1.000e-02 eta: 18:12:51 time: 0.195 data_time: 0.006 memory: 5148 grad_norm: 6.0776 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1012 loss: 2.1012 2022/06/28 03:16:36 - mmengine - INFO - Epoch(train) [35][800/3757] lr: 1.000e-02 eta: 18:12:46 time: 0.201 data_time: 0.021 memory: 5148 grad_norm: 5.1795 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9958 loss: 1.9958 2022/06/28 03:16:41 - mmengine - INFO - Epoch(train) [35][820/3757] lr: 1.000e-02 eta: 18:12:40 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 4.8296 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9558 loss: 1.9558 2022/06/28 03:16:46 - mmengine - INFO - Epoch(train) [35][840/3757] lr: 1.000e-02 eta: 18:12:35 time: 0.203 data_time: 0.009 memory: 5148 grad_norm: 5.6490 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7224 loss: 1.7224 2022/06/28 03:16:51 - mmengine - INFO - Epoch(train) [35][860/3757] lr: 1.000e-02 eta: 18:12:30 time: 0.351 data_time: 0.171 memory: 5148 grad_norm: 5.7032 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9947 loss: 1.9947 2022/06/28 03:16:57 - mmengine - INFO - Epoch(train) [35][880/3757] lr: 1.000e-02 eta: 18:12:24 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 5.9291 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8756 loss: 1.8756 2022/06/28 03:17:02 - mmengine - INFO - Epoch(train) [35][900/3757] lr: 1.000e-02 eta: 18:12:20 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 5.9058 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8191 loss: 1.8191 2022/06/28 03:17:08 - mmengine - INFO - Epoch(train) [35][920/3757] lr: 1.000e-02 eta: 18:12:15 time: 0.205 data_time: 0.021 memory: 5148 grad_norm: 6.0627 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0417 loss: 2.0417 2022/06/28 03:17:13 - mmengine - INFO - Epoch(train) [35][940/3757] lr: 1.000e-02 eta: 18:12:09 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 4.8943 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2455 loss: 2.2455 2022/06/28 03:17:18 - mmengine - INFO - Epoch(train) [35][960/3757] lr: 1.000e-02 eta: 18:12:04 time: 0.339 data_time: 0.007 memory: 5148 grad_norm: 5.7051 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2239 loss: 2.2239 2022/06/28 03:17:24 - mmengine - INFO - Epoch(train) [35][980/3757] lr: 1.000e-02 eta: 18:11:59 time: 0.208 data_time: 0.013 memory: 5148 grad_norm: 5.0841 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3092 loss: 2.3092 2022/06/28 03:17:29 - mmengine - INFO - Epoch(train) [35][1000/3757] lr: 1.000e-02 eta: 18:11:54 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 5.9433 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3016 loss: 2.3016 2022/06/28 03:17:34 - mmengine - INFO - Epoch(train) [35][1020/3757] lr: 1.000e-02 eta: 18:11:48 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 6.2512 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8556 loss: 1.8556 2022/06/28 03:17:40 - mmengine - INFO - Epoch(train) [35][1040/3757] lr: 1.000e-02 eta: 18:11:44 time: 0.222 data_time: 0.007 memory: 5148 grad_norm: 5.8393 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.5836 loss: 1.5836 2022/06/28 03:17:45 - mmengine - INFO - Epoch(train) [35][1060/3757] lr: 1.000e-02 eta: 18:11:37 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.5162 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.9509 loss: 1.9509 2022/06/28 03:17:50 - mmengine - INFO - Epoch(train) [35][1080/3757] lr: 1.000e-02 eta: 18:11:31 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 6.1117 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7554 loss: 1.7554 2022/06/28 03:17:55 - mmengine - INFO - Epoch(train) [35][1100/3757] lr: 1.000e-02 eta: 18:11:26 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.5030 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1027 loss: 2.1027 2022/06/28 03:18:01 - mmengine - INFO - Epoch(train) [35][1120/3757] lr: 1.000e-02 eta: 18:11:23 time: 0.231 data_time: 0.007 memory: 5148 grad_norm: 5.5093 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8876 loss: 1.8876 2022/06/28 03:18:07 - mmengine - INFO - Epoch(train) [35][1140/3757] lr: 1.000e-02 eta: 18:11:17 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 5.3971 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8733 loss: 1.8733 2022/06/28 03:18:12 - mmengine - INFO - Epoch(train) [35][1160/3757] lr: 1.000e-02 eta: 18:11:11 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 5.6707 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8801 loss: 1.8801 2022/06/28 03:18:17 - mmengine - INFO - Epoch(train) [35][1180/3757] lr: 1.000e-02 eta: 18:11:07 time: 0.209 data_time: 0.010 memory: 5148 grad_norm: 5.5668 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6614 loss: 2.6614 2022/06/28 03:18:22 - mmengine - INFO - Epoch(train) [35][1200/3757] lr: 1.000e-02 eta: 18:11:01 time: 0.193 data_time: 0.011 memory: 5148 grad_norm: 5.4281 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9139 loss: 1.9139 2022/06/28 03:18:28 - mmengine - INFO - Epoch(train) [35][1220/3757] lr: 1.000e-02 eta: 18:10:56 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 5.5438 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0640 loss: 2.0640 2022/06/28 03:18:33 - mmengine - INFO - Epoch(train) [35][1240/3757] lr: 1.000e-02 eta: 18:10:51 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 5.5029 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1848 loss: 2.1848 2022/06/28 03:18:39 - mmengine - INFO - Epoch(train) [35][1260/3757] lr: 1.000e-02 eta: 18:10:46 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.5320 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0274 loss: 2.0274 2022/06/28 03:18:40 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 03:18:44 - mmengine - INFO - Epoch(train) [35][1280/3757] lr: 1.000e-02 eta: 18:10:41 time: 0.212 data_time: 0.008 memory: 5148 grad_norm: 5.1674 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0266 loss: 2.0266 2022/06/28 03:18:50 - mmengine - INFO - Epoch(train) [35][1300/3757] lr: 1.000e-02 eta: 18:10:35 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 5.4655 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1608 loss: 2.1608 2022/06/28 03:18:55 - mmengine - INFO - Epoch(train) [35][1320/3757] lr: 1.000e-02 eta: 18:10:30 time: 0.264 data_time: 0.013 memory: 5148 grad_norm: 5.6358 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7874 loss: 1.7874 2022/06/28 03:19:00 - mmengine - INFO - Epoch(train) [35][1340/3757] lr: 1.000e-02 eta: 18:10:25 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 6.4092 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1194 loss: 2.1194 2022/06/28 03:19:06 - mmengine - INFO - Epoch(train) [35][1360/3757] lr: 1.000e-02 eta: 18:10:21 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 4.7725 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0207 loss: 2.0207 2022/06/28 03:19:11 - mmengine - INFO - Epoch(train) [35][1380/3757] lr: 1.000e-02 eta: 18:10:15 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 5.4287 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0433 loss: 2.0433 2022/06/28 03:19:16 - mmengine - INFO - Epoch(train) [35][1400/3757] lr: 1.000e-02 eta: 18:10:08 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 5.0819 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7493 loss: 1.7493 2022/06/28 03:19:21 - mmengine - INFO - Epoch(train) [35][1420/3757] lr: 1.000e-02 eta: 18:10:04 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.8015 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3778 loss: 2.3778 2022/06/28 03:19:27 - mmengine - INFO - Epoch(train) [35][1440/3757] lr: 1.000e-02 eta: 18:09:58 time: 0.197 data_time: 0.013 memory: 5148 grad_norm: 6.0441 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1005 loss: 2.1005 2022/06/28 03:19:32 - mmengine - INFO - Epoch(train) [35][1460/3757] lr: 1.000e-02 eta: 18:09:53 time: 0.209 data_time: 0.011 memory: 5148 grad_norm: 6.0042 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0918 loss: 2.0918 2022/06/28 03:19:37 - mmengine - INFO - Epoch(train) [35][1480/3757] lr: 1.000e-02 eta: 18:09:48 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 5.2895 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1190 loss: 2.1190 2022/06/28 03:19:43 - mmengine - INFO - Epoch(train) [35][1500/3757] lr: 1.000e-02 eta: 18:09:42 time: 0.208 data_time: 0.006 memory: 5148 grad_norm: 5.2672 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5895 loss: 1.5895 2022/06/28 03:19:48 - mmengine - INFO - Epoch(train) [35][1520/3757] lr: 1.000e-02 eta: 18:09:37 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.6938 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1269 loss: 2.1269 2022/06/28 03:19:54 - mmengine - INFO - Epoch(train) [35][1540/3757] lr: 1.000e-02 eta: 18:09:32 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.9549 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9632 loss: 1.9632 2022/06/28 03:19:58 - mmengine - INFO - Epoch(train) [35][1560/3757] lr: 1.000e-02 eta: 18:09:26 time: 0.193 data_time: 0.008 memory: 5148 grad_norm: 5.3384 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5527 loss: 2.5527 2022/06/28 03:20:04 - mmengine - INFO - Epoch(train) [35][1580/3757] lr: 1.000e-02 eta: 18:09:21 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 4.9978 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8943 loss: 1.8943 2022/06/28 03:20:10 - mmengine - INFO - Epoch(train) [35][1600/3757] lr: 1.000e-02 eta: 18:09:18 time: 0.208 data_time: 0.010 memory: 5148 grad_norm: 5.8781 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9597 loss: 1.9597 2022/06/28 03:20:14 - mmengine - INFO - Epoch(train) [35][1620/3757] lr: 1.000e-02 eta: 18:09:10 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 6.2698 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9859 loss: 1.9859 2022/06/28 03:20:19 - mmengine - INFO - Epoch(train) [35][1640/3757] lr: 1.000e-02 eta: 18:09:03 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.7247 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0699 loss: 2.0699 2022/06/28 03:20:24 - mmengine - INFO - Epoch(train) [35][1660/3757] lr: 1.000e-02 eta: 18:08:58 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 6.3024 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.0501 loss: 2.0501 2022/06/28 03:20:29 - mmengine - INFO - Epoch(train) [35][1680/3757] lr: 1.000e-02 eta: 18:08:52 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.5127 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0669 loss: 2.0669 2022/06/28 03:20:35 - mmengine - INFO - Epoch(train) [35][1700/3757] lr: 1.000e-02 eta: 18:08:47 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 4.9812 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5692 loss: 1.5692 2022/06/28 03:20:40 - mmengine - INFO - Epoch(train) [35][1720/3757] lr: 1.000e-02 eta: 18:08:42 time: 0.216 data_time: 0.010 memory: 5148 grad_norm: 5.5874 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6825 loss: 1.6825 2022/06/28 03:20:46 - mmengine - INFO - Epoch(train) [35][1740/3757] lr: 1.000e-02 eta: 18:08:37 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 5.4169 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1022 loss: 2.1022 2022/06/28 03:20:51 - mmengine - INFO - Epoch(train) [35][1760/3757] lr: 1.000e-02 eta: 18:08:33 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 4.8384 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8464 loss: 1.8464 2022/06/28 03:20:57 - mmengine - INFO - Epoch(train) [35][1780/3757] lr: 1.000e-02 eta: 18:08:28 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 5.9061 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9651 loss: 1.9651 2022/06/28 03:21:02 - mmengine - INFO - Epoch(train) [35][1800/3757] lr: 1.000e-02 eta: 18:08:22 time: 0.211 data_time: 0.009 memory: 5148 grad_norm: 5.8134 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0071 loss: 2.0071 2022/06/28 03:21:08 - mmengine - INFO - Epoch(train) [35][1820/3757] lr: 1.000e-02 eta: 18:08:18 time: 0.219 data_time: 0.011 memory: 5148 grad_norm: 5.6399 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8923 loss: 1.8923 2022/06/28 03:21:13 - mmengine - INFO - Epoch(train) [35][1840/3757] lr: 1.000e-02 eta: 18:08:12 time: 0.205 data_time: 0.006 memory: 5148 grad_norm: 5.5641 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8028 loss: 1.8028 2022/06/28 03:21:18 - mmengine - INFO - Epoch(train) [35][1860/3757] lr: 1.000e-02 eta: 18:08:06 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.5038 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9925 loss: 1.9925 2022/06/28 03:21:24 - mmengine - INFO - Epoch(train) [35][1880/3757] lr: 1.000e-02 eta: 18:08:02 time: 0.391 data_time: 0.010 memory: 5148 grad_norm: 6.2989 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4353 loss: 2.4353 2022/06/28 03:21:29 - mmengine - INFO - Epoch(train) [35][1900/3757] lr: 1.000e-02 eta: 18:07:57 time: 0.193 data_time: 0.006 memory: 5148 grad_norm: 6.2877 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.7007 loss: 1.7007 2022/06/28 03:21:35 - mmengine - INFO - Epoch(train) [35][1920/3757] lr: 1.000e-02 eta: 18:07:52 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 5.5841 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3901 loss: 2.3901 2022/06/28 03:21:40 - mmengine - INFO - Epoch(train) [35][1940/3757] lr: 1.000e-02 eta: 18:07:47 time: 0.889 data_time: 0.007 memory: 5148 grad_norm: 6.7123 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0347 loss: 2.0347 2022/06/28 03:21:45 - mmengine - INFO - Epoch(train) [35][1960/3757] lr: 1.000e-02 eta: 18:07:41 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 5.7404 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0995 loss: 2.0995 2022/06/28 03:21:51 - mmengine - INFO - Epoch(train) [35][1980/3757] lr: 1.000e-02 eta: 18:07:36 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.8638 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6721 loss: 1.6721 2022/06/28 03:21:56 - mmengine - INFO - Epoch(train) [35][2000/3757] lr: 1.000e-02 eta: 18:07:31 time: 0.590 data_time: 0.007 memory: 5148 grad_norm: 5.3531 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7774 loss: 1.7774 2022/06/28 03:22:01 - mmengine - INFO - Epoch(train) [35][2020/3757] lr: 1.000e-02 eta: 18:07:25 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.8264 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7453 loss: 1.7453 2022/06/28 03:22:07 - mmengine - INFO - Epoch(train) [35][2040/3757] lr: 1.000e-02 eta: 18:07:20 time: 0.197 data_time: 0.017 memory: 5148 grad_norm: 5.0277 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9206 loss: 1.9206 2022/06/28 03:22:12 - mmengine - INFO - Epoch(train) [35][2060/3757] lr: 1.000e-02 eta: 18:07:15 time: 0.214 data_time: 0.006 memory: 5148 grad_norm: 5.2132 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8720 loss: 1.8720 2022/06/28 03:22:17 - mmengine - INFO - Epoch(train) [35][2080/3757] lr: 1.000e-02 eta: 18:07:10 time: 0.204 data_time: 0.018 memory: 5148 grad_norm: 6.1638 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.4987 loss: 2.4987 2022/06/28 03:22:23 - mmengine - INFO - Epoch(train) [35][2100/3757] lr: 1.000e-02 eta: 18:07:04 time: 0.200 data_time: 0.020 memory: 5148 grad_norm: 5.7034 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6037 loss: 1.6037 2022/06/28 03:22:28 - mmengine - INFO - Epoch(train) [35][2120/3757] lr: 1.000e-02 eta: 18:06:59 time: 0.208 data_time: 0.006 memory: 5148 grad_norm: 5.9654 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.8857 loss: 1.8857 2022/06/28 03:22:33 - mmengine - INFO - Epoch(train) [35][2140/3757] lr: 1.000e-02 eta: 18:06:53 time: 0.188 data_time: 0.007 memory: 5148 grad_norm: 5.7356 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7104 loss: 1.7104 2022/06/28 03:22:38 - mmengine - INFO - Epoch(train) [35][2160/3757] lr: 1.000e-02 eta: 18:06:46 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.5528 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0730 loss: 2.0730 2022/06/28 03:22:43 - mmengine - INFO - Epoch(train) [35][2180/3757] lr: 1.000e-02 eta: 18:06:42 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 5.3856 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2811 loss: 2.2811 2022/06/28 03:22:49 - mmengine - INFO - Epoch(train) [35][2200/3757] lr: 1.000e-02 eta: 18:06:38 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.5453 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8413 loss: 1.8413 2022/06/28 03:22:54 - mmengine - INFO - Epoch(train) [35][2220/3757] lr: 1.000e-02 eta: 18:06:32 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 6.3522 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9482 loss: 1.9482 2022/06/28 03:23:00 - mmengine - INFO - Epoch(train) [35][2240/3757] lr: 1.000e-02 eta: 18:06:27 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 5.3914 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3698 loss: 2.3698 2022/06/28 03:23:05 - mmengine - INFO - Epoch(train) [35][2260/3757] lr: 1.000e-02 eta: 18:06:22 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.6106 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8873 loss: 1.8873 2022/06/28 03:23:06 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 03:23:10 - mmengine - INFO - Epoch(train) [35][2280/3757] lr: 1.000e-02 eta: 18:06:16 time: 0.197 data_time: 0.013 memory: 5148 grad_norm: 5.1593 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6042 loss: 1.6042 2022/06/28 03:23:16 - mmengine - INFO - Epoch(train) [35][2300/3757] lr: 1.000e-02 eta: 18:06:11 time: 0.217 data_time: 0.010 memory: 5148 grad_norm: 5.4526 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9285 loss: 1.9285 2022/06/28 03:23:21 - mmengine - INFO - Epoch(train) [35][2320/3757] lr: 1.000e-02 eta: 18:06:06 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.3959 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4027 loss: 2.4027 2022/06/28 03:23:26 - mmengine - INFO - Epoch(train) [35][2340/3757] lr: 1.000e-02 eta: 18:06:00 time: 0.193 data_time: 0.016 memory: 5148 grad_norm: 7.0871 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.1860 loss: 2.1860 2022/06/28 03:23:32 - mmengine - INFO - Epoch(train) [35][2360/3757] lr: 1.000e-02 eta: 18:05:55 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 6.0965 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1595 loss: 2.1595 2022/06/28 03:23:37 - mmengine - INFO - Epoch(train) [35][2380/3757] lr: 1.000e-02 eta: 18:05:50 time: 0.199 data_time: 0.016 memory: 5148 grad_norm: 5.5458 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.4621 loss: 2.4621 2022/06/28 03:23:42 - mmengine - INFO - Epoch(train) [35][2400/3757] lr: 1.000e-02 eta: 18:05:44 time: 0.193 data_time: 0.012 memory: 5148 grad_norm: 5.7214 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1178 loss: 2.1178 2022/06/28 03:23:48 - mmengine - INFO - Epoch(train) [35][2420/3757] lr: 1.000e-02 eta: 18:05:39 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 5.4643 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0796 loss: 2.0796 2022/06/28 03:23:53 - mmengine - INFO - Epoch(train) [35][2440/3757] lr: 1.000e-02 eta: 18:05:34 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 5.5403 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1923 loss: 2.1923 2022/06/28 03:23:58 - mmengine - INFO - Epoch(train) [35][2460/3757] lr: 1.000e-02 eta: 18:05:28 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.5016 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1989 loss: 2.1989 2022/06/28 03:24:03 - mmengine - INFO - Epoch(train) [35][2480/3757] lr: 1.000e-02 eta: 18:05:23 time: 0.276 data_time: 0.007 memory: 5148 grad_norm: 6.3918 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6205 loss: 2.6205 2022/06/28 03:24:09 - mmengine - INFO - Epoch(train) [35][2500/3757] lr: 1.000e-02 eta: 18:05:18 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 5.8660 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9975 loss: 1.9975 2022/06/28 03:24:14 - mmengine - INFO - Epoch(train) [35][2520/3757] lr: 1.000e-02 eta: 18:05:12 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 6.6776 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0479 loss: 2.0479 2022/06/28 03:24:19 - mmengine - INFO - Epoch(train) [35][2540/3757] lr: 1.000e-02 eta: 18:05:06 time: 0.210 data_time: 0.011 memory: 5148 grad_norm: 5.8923 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0945 loss: 2.0945 2022/06/28 03:24:24 - mmengine - INFO - Epoch(train) [35][2560/3757] lr: 1.000e-02 eta: 18:05:01 time: 0.213 data_time: 0.016 memory: 5148 grad_norm: 5.1910 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5591 loss: 1.5591 2022/06/28 03:24:30 - mmengine - INFO - Epoch(train) [35][2580/3757] lr: 1.000e-02 eta: 18:04:56 time: 0.202 data_time: 0.021 memory: 5148 grad_norm: 6.3937 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8843 loss: 1.8843 2022/06/28 03:24:35 - mmengine - INFO - Epoch(train) [35][2600/3757] lr: 1.000e-02 eta: 18:04:51 time: 0.202 data_time: 0.015 memory: 5148 grad_norm: 6.0089 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1048 loss: 2.1048 2022/06/28 03:24:41 - mmengine - INFO - Epoch(train) [35][2620/3757] lr: 1.000e-02 eta: 18:04:46 time: 0.218 data_time: 0.011 memory: 5148 grad_norm: 5.9735 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6836 loss: 1.6836 2022/06/28 03:24:46 - mmengine - INFO - Epoch(train) [35][2640/3757] lr: 1.000e-02 eta: 18:04:40 time: 0.200 data_time: 0.020 memory: 5148 grad_norm: 5.3440 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0451 loss: 2.0451 2022/06/28 03:24:51 - mmengine - INFO - Epoch(train) [35][2660/3757] lr: 1.000e-02 eta: 18:04:34 time: 0.194 data_time: 0.018 memory: 5148 grad_norm: 6.0015 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8901 loss: 1.8901 2022/06/28 03:24:57 - mmengine - INFO - Epoch(train) [35][2680/3757] lr: 1.000e-02 eta: 18:04:30 time: 0.214 data_time: 0.010 memory: 5148 grad_norm: 5.8537 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8234 loss: 1.8234 2022/06/28 03:25:01 - mmengine - INFO - Epoch(train) [35][2700/3757] lr: 1.000e-02 eta: 18:04:23 time: 0.205 data_time: 0.016 memory: 5148 grad_norm: 5.6565 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5361 loss: 1.5361 2022/06/28 03:25:07 - mmengine - INFO - Epoch(train) [35][2720/3757] lr: 1.000e-02 eta: 18:04:18 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 5.5199 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7692 loss: 1.7692 2022/06/28 03:25:12 - mmengine - INFO - Epoch(train) [35][2740/3757] lr: 1.000e-02 eta: 18:04:13 time: 0.235 data_time: 0.013 memory: 5148 grad_norm: 4.9253 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7764 loss: 1.7764 2022/06/28 03:25:17 - mmengine - INFO - Epoch(train) [35][2760/3757] lr: 1.000e-02 eta: 18:04:08 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 4.9146 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6770 loss: 1.6770 2022/06/28 03:25:23 - mmengine - INFO - Epoch(train) [35][2780/3757] lr: 1.000e-02 eta: 18:04:02 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.0656 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9910 loss: 1.9910 2022/06/28 03:25:28 - mmengine - INFO - Epoch(train) [35][2800/3757] lr: 1.000e-02 eta: 18:03:57 time: 0.216 data_time: 0.013 memory: 5148 grad_norm: 6.3264 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9933 loss: 1.9933 2022/06/28 03:25:33 - mmengine - INFO - Epoch(train) [35][2820/3757] lr: 1.000e-02 eta: 18:03:52 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 4.8882 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6135 loss: 1.6135 2022/06/28 03:25:39 - mmengine - INFO - Epoch(train) [35][2840/3757] lr: 1.000e-02 eta: 18:03:47 time: 0.259 data_time: 0.007 memory: 5148 grad_norm: 6.5913 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5576 loss: 2.5576 2022/06/28 03:25:44 - mmengine - INFO - Epoch(train) [35][2860/3757] lr: 1.000e-02 eta: 18:03:42 time: 0.228 data_time: 0.009 memory: 5148 grad_norm: 5.4166 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6066 loss: 1.6066 2022/06/28 03:25:50 - mmengine - INFO - Epoch(train) [35][2880/3757] lr: 1.000e-02 eta: 18:03:37 time: 0.212 data_time: 0.013 memory: 5148 grad_norm: 5.3937 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2439 loss: 2.2439 2022/06/28 03:25:55 - mmengine - INFO - Epoch(train) [35][2900/3757] lr: 1.000e-02 eta: 18:03:31 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 5.7500 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3212 loss: 2.3212 2022/06/28 03:26:00 - mmengine - INFO - Epoch(train) [35][2920/3757] lr: 1.000e-02 eta: 18:03:26 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 5.1348 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8802 loss: 1.8802 2022/06/28 03:26:05 - mmengine - INFO - Epoch(train) [35][2940/3757] lr: 1.000e-02 eta: 18:03:20 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 6.7466 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.4358 loss: 2.4358 2022/06/28 03:26:11 - mmengine - INFO - Epoch(train) [35][2960/3757] lr: 1.000e-02 eta: 18:03:15 time: 0.201 data_time: 0.013 memory: 5148 grad_norm: 6.4371 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0785 loss: 2.0785 2022/06/28 03:26:16 - mmengine - INFO - Epoch(train) [35][2980/3757] lr: 1.000e-02 eta: 18:03:10 time: 0.201 data_time: 0.016 memory: 5148 grad_norm: 5.1432 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9708 loss: 1.9708 2022/06/28 03:26:21 - mmengine - INFO - Epoch(train) [35][3000/3757] lr: 1.000e-02 eta: 18:03:04 time: 0.199 data_time: 0.015 memory: 5148 grad_norm: 5.4626 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8094 loss: 1.8094 2022/06/28 03:26:26 - mmengine - INFO - Epoch(train) [35][3020/3757] lr: 1.000e-02 eta: 18:02:57 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 6.1555 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.6418 loss: 1.6418 2022/06/28 03:26:32 - mmengine - INFO - Epoch(train) [35][3040/3757] lr: 1.000e-02 eta: 18:02:53 time: 0.204 data_time: 0.022 memory: 5148 grad_norm: 5.4838 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0088 loss: 2.0088 2022/06/28 03:26:37 - mmengine - INFO - Epoch(train) [35][3060/3757] lr: 1.000e-02 eta: 18:02:48 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 6.6522 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0033 loss: 2.0033 2022/06/28 03:26:43 - mmengine - INFO - Epoch(train) [35][3080/3757] lr: 1.000e-02 eta: 18:02:43 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 6.3969 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4920 loss: 1.4920 2022/06/28 03:26:48 - mmengine - INFO - Epoch(train) [35][3100/3757] lr: 1.000e-02 eta: 18:02:38 time: 0.194 data_time: 0.018 memory: 5148 grad_norm: 5.1113 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7793 loss: 1.7793 2022/06/28 03:26:53 - mmengine - INFO - Epoch(train) [35][3120/3757] lr: 1.000e-02 eta: 18:02:32 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 5.8169 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2211 loss: 2.2211 2022/06/28 03:26:58 - mmengine - INFO - Epoch(train) [35][3140/3757] lr: 1.000e-02 eta: 18:02:27 time: 0.200 data_time: 0.016 memory: 5148 grad_norm: 5.9171 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.5773 loss: 1.5773 2022/06/28 03:27:04 - mmengine - INFO - Epoch(train) [35][3160/3757] lr: 1.000e-02 eta: 18:02:22 time: 0.200 data_time: 0.013 memory: 5148 grad_norm: 5.5691 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9438 loss: 1.9438 2022/06/28 03:27:09 - mmengine - INFO - Epoch(train) [35][3180/3757] lr: 1.000e-02 eta: 18:02:16 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.5650 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4245 loss: 2.4245 2022/06/28 03:27:15 - mmengine - INFO - Epoch(train) [35][3200/3757] lr: 1.000e-02 eta: 18:02:12 time: 0.208 data_time: 0.021 memory: 5148 grad_norm: 5.4524 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9900 loss: 1.9900 2022/06/28 03:27:20 - mmengine - INFO - Epoch(train) [35][3220/3757] lr: 1.000e-02 eta: 18:02:06 time: 0.195 data_time: 0.013 memory: 5148 grad_norm: 6.7336 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8311 loss: 1.8311 2022/06/28 03:27:25 - mmengine - INFO - Epoch(train) [35][3240/3757] lr: 1.000e-02 eta: 18:02:00 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.2103 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3521 loss: 2.3521 2022/06/28 03:27:30 - mmengine - INFO - Epoch(train) [35][3260/3757] lr: 1.000e-02 eta: 18:01:55 time: 0.199 data_time: 0.018 memory: 5148 grad_norm: 4.9415 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3638 loss: 2.3638 2022/06/28 03:27:30 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 03:27:36 - mmengine - INFO - Epoch(train) [35][3280/3757] lr: 1.000e-02 eta: 18:01:50 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 6.0461 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0579 loss: 2.0579 2022/06/28 03:27:41 - mmengine - INFO - Epoch(train) [35][3300/3757] lr: 1.000e-02 eta: 18:01:44 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 5.3555 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9626 loss: 1.9626 2022/06/28 03:27:46 - mmengine - INFO - Epoch(train) [35][3320/3757] lr: 1.000e-02 eta: 18:01:39 time: 0.208 data_time: 0.019 memory: 5148 grad_norm: 4.2326 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1303 loss: 2.1303 2022/06/28 03:27:51 - mmengine - INFO - Epoch(train) [35][3340/3757] lr: 1.000e-02 eta: 18:01:33 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.5592 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8636 loss: 1.8636 2022/06/28 03:27:57 - mmengine - INFO - Epoch(train) [35][3360/3757] lr: 1.000e-02 eta: 18:01:28 time: 0.190 data_time: 0.007 memory: 5148 grad_norm: 4.9550 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8558 loss: 1.8558 2022/06/28 03:28:02 - mmengine - INFO - Epoch(train) [35][3380/3757] lr: 1.000e-02 eta: 18:01:23 time: 0.201 data_time: 0.015 memory: 5148 grad_norm: 6.5556 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9922 loss: 1.9922 2022/06/28 03:28:07 - mmengine - INFO - Epoch(train) [35][3400/3757] lr: 1.000e-02 eta: 18:01:18 time: 0.206 data_time: 0.013 memory: 5148 grad_norm: 4.9272 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0872 loss: 2.0872 2022/06/28 03:28:12 - mmengine - INFO - Epoch(train) [35][3420/3757] lr: 1.000e-02 eta: 18:01:12 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 6.5163 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0458 loss: 2.0458 2022/06/28 03:28:18 - mmengine - INFO - Epoch(train) [35][3440/3757] lr: 1.000e-02 eta: 18:01:07 time: 0.216 data_time: 0.011 memory: 5148 grad_norm: 5.2173 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9598 loss: 1.9598 2022/06/28 03:28:23 - mmengine - INFO - Epoch(train) [35][3460/3757] lr: 1.000e-02 eta: 18:01:02 time: 0.201 data_time: 0.020 memory: 5148 grad_norm: 5.7802 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1396 loss: 2.1396 2022/06/28 03:28:28 - mmengine - INFO - Epoch(train) [35][3480/3757] lr: 1.000e-02 eta: 18:00:56 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.5374 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9651 loss: 1.9651 2022/06/28 03:28:34 - mmengine - INFO - Epoch(train) [35][3500/3757] lr: 1.000e-02 eta: 18:00:51 time: 0.219 data_time: 0.006 memory: 5148 grad_norm: 5.8799 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2691 loss: 2.2691 2022/06/28 03:28:40 - mmengine - INFO - Epoch(train) [35][3520/3757] lr: 1.000e-02 eta: 18:00:47 time: 0.198 data_time: 0.017 memory: 5148 grad_norm: 5.2454 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7422 loss: 1.7422 2022/06/28 03:28:44 - mmengine - INFO - Epoch(train) [35][3540/3757] lr: 1.000e-02 eta: 18:00:40 time: 0.190 data_time: 0.008 memory: 5148 grad_norm: 5.8942 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1303 loss: 2.1303 2022/06/28 03:28:50 - mmengine - INFO - Epoch(train) [35][3560/3757] lr: 1.000e-02 eta: 18:00:35 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.4756 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0060 loss: 2.0060 2022/06/28 03:28:56 - mmengine - INFO - Epoch(train) [35][3580/3757] lr: 1.000e-02 eta: 18:00:31 time: 0.202 data_time: 0.021 memory: 5148 grad_norm: 5.5506 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7746 loss: 1.7746 2022/06/28 03:29:01 - mmengine - INFO - Epoch(train) [35][3600/3757] lr: 1.000e-02 eta: 18:00:26 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 5.5683 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3316 loss: 2.3316 2022/06/28 03:29:06 - mmengine - INFO - Epoch(train) [35][3620/3757] lr: 1.000e-02 eta: 18:00:20 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 6.6934 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9361 loss: 1.9361 2022/06/28 03:29:11 - mmengine - INFO - Epoch(train) [35][3640/3757] lr: 1.000e-02 eta: 18:00:15 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 4.9915 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7729 loss: 1.7729 2022/06/28 03:29:17 - mmengine - INFO - Epoch(train) [35][3660/3757] lr: 1.000e-02 eta: 18:00:10 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.1576 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0071 loss: 2.0071 2022/06/28 03:29:22 - mmengine - INFO - Epoch(train) [35][3680/3757] lr: 1.000e-02 eta: 18:00:04 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 4.6257 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0726 loss: 2.0726 2022/06/28 03:29:27 - mmengine - INFO - Epoch(train) [35][3700/3757] lr: 1.000e-02 eta: 17:59:59 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 5.8692 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8191 loss: 1.8191 2022/06/28 03:29:33 - mmengine - INFO - Epoch(train) [35][3720/3757] lr: 1.000e-02 eta: 17:59:54 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.5484 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7083 loss: 1.7083 2022/06/28 03:29:39 - mmengine - INFO - Epoch(train) [35][3740/3757] lr: 1.000e-02 eta: 17:59:49 time: 0.236 data_time: 0.007 memory: 5148 grad_norm: 5.2803 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3684 loss: 2.3684 2022/06/28 03:29:42 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 03:29:42 - mmengine - INFO - Saving checkpoint at 35 epochs 2022/06/28 03:29:51 - mmengine - INFO - Epoch(val) [35][20/310] eta: 0:01:06 time: 0.080 data_time: 0.008 memory: 5148 2022/06/28 03:29:56 - mmengine - INFO - Epoch(val) [35][40/310] eta: 0:01:02 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 03:30:02 - mmengine - INFO - Epoch(val) [35][60/310] eta: 0:01:01 time: 0.091 data_time: 0.005 memory: 1367 2022/06/28 03:30:06 - mmengine - INFO - Epoch(val) [35][80/310] eta: 0:00:51 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 03:30:13 - mmengine - INFO - Epoch(val) [35][100/310] eta: 0:00:50 time: 0.083 data_time: 0.005 memory: 1367 2022/06/28 03:30:17 - mmengine - INFO - Epoch(val) [35][120/310] eta: 0:00:46 time: 0.081 data_time: 0.009 memory: 1367 2022/06/28 03:30:24 - mmengine - INFO - Epoch(val) [35][140/310] eta: 0:00:49 time: 0.092 data_time: 0.005 memory: 1367 2022/06/28 03:30:28 - mmengine - INFO - Epoch(val) [35][160/310] eta: 0:00:37 time: 0.081 data_time: 0.009 memory: 1367 2022/06/28 03:30:34 - mmengine - INFO - Epoch(val) [35][180/310] eta: 0:00:44 time: 0.081 data_time: 0.005 memory: 1367 2022/06/28 03:30:39 - mmengine - INFO - Epoch(val) [35][200/310] eta: 0:00:24 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 03:30:45 - mmengine - INFO - Epoch(val) [35][220/310] eta: 0:00:37 time: 0.093 data_time: 0.008 memory: 1367 2022/06/28 03:30:50 - mmengine - INFO - Epoch(val) [35][240/310] eta: 0:00:14 time: 0.086 data_time: 0.009 memory: 1367 2022/06/28 03:30:56 - mmengine - INFO - Epoch(val) [35][260/310] eta: 0:00:19 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 03:31:01 - mmengine - INFO - Epoch(val) [35][280/310] eta: 0:00:07 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 03:31:05 - mmengine - INFO - Epoch(val) [35][300/310] eta: 0:00:01 time: 0.081 data_time: 0.005 memory: 1367 2022/06/28 03:31:07 - mmengine - INFO - Epoch(val) [35][310/310] acc/top1: 0.5585 acc/top5: 0.8030 acc/mean1: 0.5584 2022/06/28 03:31:16 - mmengine - INFO - Epoch(train) [36][20/3757] lr: 1.000e-02 eta: 17:59:40 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.6979 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6040 loss: 1.6040 2022/06/28 03:31:22 - mmengine - INFO - Epoch(train) [36][40/3757] lr: 1.000e-02 eta: 17:59:36 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.3831 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8681 loss: 1.8681 2022/06/28 03:31:26 - mmengine - INFO - Epoch(train) [36][60/3757] lr: 1.000e-02 eta: 17:59:29 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 4.9664 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0923 loss: 2.0923 2022/06/28 03:31:32 - mmengine - INFO - Epoch(train) [36][80/3757] lr: 1.000e-02 eta: 17:59:25 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.9343 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9620 loss: 1.9620 2022/06/28 03:31:38 - mmengine - INFO - Epoch(train) [36][100/3757] lr: 1.000e-02 eta: 17:59:21 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.6193 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7389 loss: 1.7389 2022/06/28 03:31:43 - mmengine - INFO - Epoch(train) [36][120/3757] lr: 1.000e-02 eta: 17:59:14 time: 0.191 data_time: 0.008 memory: 5148 grad_norm: 5.5313 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7619 loss: 1.7619 2022/06/28 03:31:48 - mmengine - INFO - Epoch(train) [36][140/3757] lr: 1.000e-02 eta: 17:59:09 time: 0.191 data_time: 0.010 memory: 5148 grad_norm: 6.3337 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8368 loss: 1.8368 2022/06/28 03:31:54 - mmengine - INFO - Epoch(train) [36][160/3757] lr: 1.000e-02 eta: 17:59:05 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.7360 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0103 loss: 2.0103 2022/06/28 03:31:59 - mmengine - INFO - Epoch(train) [36][180/3757] lr: 1.000e-02 eta: 17:58:58 time: 0.192 data_time: 0.008 memory: 5148 grad_norm: 4.6481 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0265 loss: 2.0265 2022/06/28 03:32:04 - mmengine - INFO - Epoch(train) [36][200/3757] lr: 1.000e-02 eta: 17:58:54 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.3024 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9969 loss: 1.9969 2022/06/28 03:32:10 - mmengine - INFO - Epoch(train) [36][220/3757] lr: 1.000e-02 eta: 17:58:48 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.0425 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8075 loss: 1.8075 2022/06/28 03:32:15 - mmengine - INFO - Epoch(train) [36][240/3757] lr: 1.000e-02 eta: 17:58:42 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 4.7472 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6510 loss: 1.6510 2022/06/28 03:32:21 - mmengine - INFO - Epoch(train) [36][260/3757] lr: 1.000e-02 eta: 17:58:38 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 5.3247 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0200 loss: 2.0200 2022/06/28 03:32:26 - mmengine - INFO - Epoch(train) [36][280/3757] lr: 1.000e-02 eta: 17:58:34 time: 0.212 data_time: 0.008 memory: 5148 grad_norm: 5.1809 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1775 loss: 2.1775 2022/06/28 03:32:31 - mmengine - INFO - Epoch(train) [36][300/3757] lr: 1.000e-02 eta: 17:58:28 time: 0.193 data_time: 0.006 memory: 5148 grad_norm: 5.4040 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7913 loss: 1.7913 2022/06/28 03:32:37 - mmengine - INFO - Epoch(train) [36][320/3757] lr: 1.000e-02 eta: 17:58:23 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.5777 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8464 loss: 1.8464 2022/06/28 03:32:42 - mmengine - INFO - Epoch(train) [36][340/3757] lr: 1.000e-02 eta: 17:58:17 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 5.9313 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.0907 loss: 2.0907 2022/06/28 03:32:47 - mmengine - INFO - Epoch(train) [36][360/3757] lr: 1.000e-02 eta: 17:58:11 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 5.4980 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3708 loss: 2.3708 2022/06/28 03:32:52 - mmengine - INFO - Epoch(train) [36][380/3757] lr: 1.000e-02 eta: 17:58:06 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.0320 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1077 loss: 2.1077 2022/06/28 03:32:58 - mmengine - INFO - Epoch(train) [36][400/3757] lr: 1.000e-02 eta: 17:58:02 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.2893 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0983 loss: 2.0983 2022/06/28 03:33:03 - mmengine - INFO - Epoch(train) [36][420/3757] lr: 1.000e-02 eta: 17:57:56 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.5001 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0209 loss: 2.0209 2022/06/28 03:33:09 - mmengine - INFO - Epoch(train) [36][440/3757] lr: 1.000e-02 eta: 17:57:51 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 5.4855 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9721 loss: 1.9721 2022/06/28 03:33:15 - mmengine - INFO - Epoch(train) [36][460/3757] lr: 1.000e-02 eta: 17:57:47 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.9122 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 1.9778 loss: 1.9778 2022/06/28 03:33:19 - mmengine - INFO - Epoch(train) [36][480/3757] lr: 1.000e-02 eta: 17:57:41 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.9692 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1613 loss: 2.1613 2022/06/28 03:33:25 - mmengine - INFO - Epoch(train) [36][500/3757] lr: 1.000e-02 eta: 17:57:35 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 5.6653 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5016 loss: 2.5016 2022/06/28 03:33:26 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 03:33:30 - mmengine - INFO - Epoch(train) [36][520/3757] lr: 1.000e-02 eta: 17:57:29 time: 0.225 data_time: 0.006 memory: 5148 grad_norm: 5.9228 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7694 loss: 1.7694 2022/06/28 03:33:34 - mmengine - INFO - Epoch(train) [36][540/3757] lr: 1.000e-02 eta: 17:57:23 time: 0.204 data_time: 0.016 memory: 5148 grad_norm: 5.0723 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1510 loss: 2.1510 2022/06/28 03:33:41 - mmengine - INFO - Epoch(train) [36][560/3757] lr: 1.000e-02 eta: 17:57:20 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.3813 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7858 loss: 1.7858 2022/06/28 03:33:46 - mmengine - INFO - Epoch(train) [36][580/3757] lr: 1.000e-02 eta: 17:57:14 time: 0.227 data_time: 0.016 memory: 5148 grad_norm: 6.4216 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1297 loss: 2.1297 2022/06/28 03:33:51 - mmengine - INFO - Epoch(train) [36][600/3757] lr: 1.000e-02 eta: 17:57:08 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 5.2682 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0924 loss: 2.0924 2022/06/28 03:33:57 - mmengine - INFO - Epoch(train) [36][620/3757] lr: 1.000e-02 eta: 17:57:03 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 5.9656 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9319 loss: 1.9319 2022/06/28 03:34:02 - mmengine - INFO - Epoch(train) [36][640/3757] lr: 1.000e-02 eta: 17:56:59 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 5.5220 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9227 loss: 1.9227 2022/06/28 03:34:07 - mmengine - INFO - Epoch(train) [36][660/3757] lr: 1.000e-02 eta: 17:56:53 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 4.9954 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6566 loss: 1.6566 2022/06/28 03:34:13 - mmengine - INFO - Epoch(train) [36][680/3757] lr: 1.000e-02 eta: 17:56:48 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 6.1972 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9141 loss: 1.9141 2022/06/28 03:34:18 - mmengine - INFO - Epoch(train) [36][700/3757] lr: 1.000e-02 eta: 17:56:43 time: 0.216 data_time: 0.013 memory: 5148 grad_norm: 5.7096 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.1435 loss: 2.1435 2022/06/28 03:34:23 - mmengine - INFO - Epoch(train) [36][720/3757] lr: 1.000e-02 eta: 17:56:37 time: 0.201 data_time: 0.013 memory: 5148 grad_norm: 5.9265 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7841 loss: 1.7841 2022/06/28 03:34:29 - mmengine - INFO - Epoch(train) [36][740/3757] lr: 1.000e-02 eta: 17:56:32 time: 0.203 data_time: 0.021 memory: 5148 grad_norm: 5.7279 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2559 loss: 2.2559 2022/06/28 03:34:34 - mmengine - INFO - Epoch(train) [36][760/3757] lr: 1.000e-02 eta: 17:56:27 time: 0.203 data_time: 0.013 memory: 5148 grad_norm: 6.3341 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9336 loss: 1.9336 2022/06/28 03:34:39 - mmengine - INFO - Epoch(train) [36][780/3757] lr: 1.000e-02 eta: 17:56:21 time: 0.193 data_time: 0.008 memory: 5148 grad_norm: 5.5179 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3244 loss: 2.3244 2022/06/28 03:34:45 - mmengine - INFO - Epoch(train) [36][800/3757] lr: 1.000e-02 eta: 17:56:17 time: 0.202 data_time: 0.016 memory: 5148 grad_norm: 6.3795 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1173 loss: 2.1173 2022/06/28 03:34:50 - mmengine - INFO - Epoch(train) [36][820/3757] lr: 1.000e-02 eta: 17:56:11 time: 0.208 data_time: 0.006 memory: 5148 grad_norm: 5.7186 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9989 loss: 1.9989 2022/06/28 03:34:56 - mmengine - INFO - Epoch(train) [36][840/3757] lr: 1.000e-02 eta: 17:56:06 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 4.9175 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7353 loss: 1.7353 2022/06/28 03:35:02 - mmengine - INFO - Epoch(train) [36][860/3757] lr: 1.000e-02 eta: 17:56:02 time: 0.201 data_time: 0.025 memory: 5148 grad_norm: 5.5270 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9240 loss: 1.9240 2022/06/28 03:35:06 - mmengine - INFO - Epoch(train) [36][880/3757] lr: 1.000e-02 eta: 17:55:56 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 5.7275 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8999 loss: 1.8999 2022/06/28 03:35:12 - mmengine - INFO - Epoch(train) [36][900/3757] lr: 1.000e-02 eta: 17:55:51 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.9888 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3539 loss: 2.3539 2022/06/28 03:35:18 - mmengine - INFO - Epoch(train) [36][920/3757] lr: 1.000e-02 eta: 17:55:46 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 5.5258 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.0512 loss: 2.0512 2022/06/28 03:35:23 - mmengine - INFO - Epoch(train) [36][940/3757] lr: 1.000e-02 eta: 17:55:41 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 6.1040 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0880 loss: 2.0880 2022/06/28 03:35:28 - mmengine - INFO - Epoch(train) [36][960/3757] lr: 1.000e-02 eta: 17:55:34 time: 0.209 data_time: 0.013 memory: 5148 grad_norm: 5.2109 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9996 loss: 1.9996 2022/06/28 03:35:34 - mmengine - INFO - Epoch(train) [36][980/3757] lr: 1.000e-02 eta: 17:55:30 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 5.1530 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9368 loss: 1.9368 2022/06/28 03:35:38 - mmengine - INFO - Epoch(train) [36][1000/3757] lr: 1.000e-02 eta: 17:55:24 time: 0.196 data_time: 0.014 memory: 5148 grad_norm: 5.0579 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0422 loss: 2.0422 2022/06/28 03:35:44 - mmengine - INFO - Epoch(train) [36][1020/3757] lr: 1.000e-02 eta: 17:55:19 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 4.9762 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1805 loss: 2.1805 2022/06/28 03:35:49 - mmengine - INFO - Epoch(train) [36][1040/3757] lr: 1.000e-02 eta: 17:55:14 time: 0.231 data_time: 0.007 memory: 5148 grad_norm: 5.2694 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1015 loss: 2.1015 2022/06/28 03:35:54 - mmengine - INFO - Epoch(train) [36][1060/3757] lr: 1.000e-02 eta: 17:55:08 time: 0.199 data_time: 0.017 memory: 5148 grad_norm: 6.4012 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9194 loss: 1.9194 2022/06/28 03:36:00 - mmengine - INFO - Epoch(train) [36][1080/3757] lr: 1.000e-02 eta: 17:55:03 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.6223 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8814 loss: 1.8814 2022/06/28 03:36:05 - mmengine - INFO - Epoch(train) [36][1100/3757] lr: 1.000e-02 eta: 17:54:57 time: 0.221 data_time: 0.010 memory: 5148 grad_norm: 5.4250 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8385 loss: 1.8385 2022/06/28 03:36:10 - mmengine - INFO - Epoch(train) [36][1120/3757] lr: 1.000e-02 eta: 17:54:52 time: 0.213 data_time: 0.032 memory: 5148 grad_norm: 5.6144 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4199 loss: 2.4199 2022/06/28 03:36:16 - mmengine - INFO - Epoch(train) [36][1140/3757] lr: 1.000e-02 eta: 17:54:47 time: 0.199 data_time: 0.016 memory: 5148 grad_norm: 5.0898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8466 loss: 1.8466 2022/06/28 03:36:21 - mmengine - INFO - Epoch(train) [36][1160/3757] lr: 1.000e-02 eta: 17:54:42 time: 0.199 data_time: 0.012 memory: 5148 grad_norm: 5.7249 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7503 loss: 1.7503 2022/06/28 03:36:26 - mmengine - INFO - Epoch(train) [36][1180/3757] lr: 1.000e-02 eta: 17:54:35 time: 0.195 data_time: 0.012 memory: 5148 grad_norm: 6.1324 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2400 loss: 2.2400 2022/06/28 03:36:31 - mmengine - INFO - Epoch(train) [36][1200/3757] lr: 1.000e-02 eta: 17:54:30 time: 0.196 data_time: 0.013 memory: 5148 grad_norm: 6.5537 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1986 loss: 2.1986 2022/06/28 03:36:36 - mmengine - INFO - Epoch(train) [36][1220/3757] lr: 1.000e-02 eta: 17:54:24 time: 0.205 data_time: 0.017 memory: 5148 grad_norm: 6.1080 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9307 loss: 1.9307 2022/06/28 03:36:42 - mmengine - INFO - Epoch(train) [36][1240/3757] lr: 1.000e-02 eta: 17:54:19 time: 0.210 data_time: 0.012 memory: 5148 grad_norm: 5.9574 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0307 loss: 2.0307 2022/06/28 03:36:46 - mmengine - INFO - Epoch(train) [36][1260/3757] lr: 1.000e-02 eta: 17:54:13 time: 0.197 data_time: 0.023 memory: 5148 grad_norm: 6.0185 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9593 loss: 1.9593 2022/06/28 03:36:53 - mmengine - INFO - Epoch(train) [36][1280/3757] lr: 1.000e-02 eta: 17:54:09 time: 0.205 data_time: 0.020 memory: 5148 grad_norm: 5.6420 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0461 loss: 2.0461 2022/06/28 03:36:58 - mmengine - INFO - Epoch(train) [36][1300/3757] lr: 1.000e-02 eta: 17:54:04 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 5.6745 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9987 loss: 1.9987 2022/06/28 03:37:03 - mmengine - INFO - Epoch(train) [36][1320/3757] lr: 1.000e-02 eta: 17:53:58 time: 0.210 data_time: 0.016 memory: 5148 grad_norm: 5.7466 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0798 loss: 2.0798 2022/06/28 03:37:09 - mmengine - INFO - Epoch(train) [36][1340/3757] lr: 1.000e-02 eta: 17:53:54 time: 0.202 data_time: 0.023 memory: 5148 grad_norm: 5.2690 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6646 loss: 2.6646 2022/06/28 03:37:14 - mmengine - INFO - Epoch(train) [36][1360/3757] lr: 1.000e-02 eta: 17:53:48 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 6.4163 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9526 loss: 1.9526 2022/06/28 03:37:19 - mmengine - INFO - Epoch(train) [36][1380/3757] lr: 1.000e-02 eta: 17:53:43 time: 0.204 data_time: 0.013 memory: 5148 grad_norm: 5.0115 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8723 loss: 1.8723 2022/06/28 03:37:25 - mmengine - INFO - Epoch(train) [36][1400/3757] lr: 1.000e-02 eta: 17:53:38 time: 0.193 data_time: 0.013 memory: 5148 grad_norm: 5.7137 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4068 loss: 2.4068 2022/06/28 03:37:30 - mmengine - INFO - Epoch(train) [36][1420/3757] lr: 1.000e-02 eta: 17:53:32 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 5.5457 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0306 loss: 2.0306 2022/06/28 03:37:35 - mmengine - INFO - Epoch(train) [36][1440/3757] lr: 1.000e-02 eta: 17:53:27 time: 0.211 data_time: 0.010 memory: 5148 grad_norm: 5.4597 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6289 loss: 1.6289 2022/06/28 03:37:41 - mmengine - INFO - Epoch(train) [36][1460/3757] lr: 1.000e-02 eta: 17:53:22 time: 0.215 data_time: 0.009 memory: 5148 grad_norm: 5.0982 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9951 loss: 1.9951 2022/06/28 03:37:46 - mmengine - INFO - Epoch(train) [36][1480/3757] lr: 1.000e-02 eta: 17:53:17 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 5.7965 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3721 loss: 2.3721 2022/06/28 03:37:51 - mmengine - INFO - Epoch(train) [36][1500/3757] lr: 1.000e-02 eta: 17:53:11 time: 0.204 data_time: 0.005 memory: 5148 grad_norm: 6.2380 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9566 loss: 1.9566 2022/06/28 03:37:53 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 03:37:56 - mmengine - INFO - Epoch(train) [36][1520/3757] lr: 1.000e-02 eta: 17:53:06 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 5.8518 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7494 loss: 1.7494 2022/06/28 03:38:02 - mmengine - INFO - Epoch(train) [36][1540/3757] lr: 1.000e-02 eta: 17:53:01 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 5.4231 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8529 loss: 1.8529 2022/06/28 03:38:07 - mmengine - INFO - Epoch(train) [36][1560/3757] lr: 1.000e-02 eta: 17:52:55 time: 0.348 data_time: 0.010 memory: 5148 grad_norm: 5.4845 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6349 loss: 1.6349 2022/06/28 03:38:12 - mmengine - INFO - Epoch(train) [36][1580/3757] lr: 1.000e-02 eta: 17:52:50 time: 0.199 data_time: 0.013 memory: 5148 grad_norm: 6.3204 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2801 loss: 2.2801 2022/06/28 03:38:18 - mmengine - INFO - Epoch(train) [36][1600/3757] lr: 1.000e-02 eta: 17:52:45 time: 0.193 data_time: 0.013 memory: 5148 grad_norm: 4.9389 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.0825 loss: 2.0825 2022/06/28 03:38:23 - mmengine - INFO - Epoch(train) [36][1620/3757] lr: 1.000e-02 eta: 17:52:40 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 6.0441 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9809 loss: 1.9809 2022/06/28 03:38:29 - mmengine - INFO - Epoch(train) [36][1640/3757] lr: 1.000e-02 eta: 17:52:35 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 5.7953 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7154 loss: 1.7154 2022/06/28 03:38:34 - mmengine - INFO - Epoch(train) [36][1660/3757] lr: 1.000e-02 eta: 17:52:29 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 6.0754 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1690 loss: 2.1690 2022/06/28 03:38:39 - mmengine - INFO - Epoch(train) [36][1680/3757] lr: 1.000e-02 eta: 17:52:24 time: 0.946 data_time: 0.007 memory: 5148 grad_norm: 4.9929 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1645 loss: 2.1645 2022/06/28 03:38:45 - mmengine - INFO - Epoch(train) [36][1700/3757] lr: 1.000e-02 eta: 17:52:19 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 5.3741 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9394 loss: 1.9394 2022/06/28 03:38:50 - mmengine - INFO - Epoch(train) [36][1720/3757] lr: 1.000e-02 eta: 17:52:13 time: 0.194 data_time: 0.017 memory: 5148 grad_norm: 5.8293 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9574 loss: 1.9574 2022/06/28 03:38:55 - mmengine - INFO - Epoch(train) [36][1740/3757] lr: 1.000e-02 eta: 17:52:08 time: 0.758 data_time: 0.007 memory: 5148 grad_norm: 5.8679 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0756 loss: 2.0756 2022/06/28 03:39:01 - mmengine - INFO - Epoch(train) [36][1760/3757] lr: 1.000e-02 eta: 17:52:04 time: 0.190 data_time: 0.010 memory: 5148 grad_norm: 6.2334 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0088 loss: 2.0088 2022/06/28 03:39:06 - mmengine - INFO - Epoch(train) [36][1780/3757] lr: 1.000e-02 eta: 17:51:57 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 5.8893 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1144 loss: 2.1144 2022/06/28 03:39:11 - mmengine - INFO - Epoch(train) [36][1800/3757] lr: 1.000e-02 eta: 17:51:52 time: 0.278 data_time: 0.053 memory: 5148 grad_norm: 5.3413 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1168 loss: 2.1168 2022/06/28 03:39:16 - mmengine - INFO - Epoch(train) [36][1820/3757] lr: 1.000e-02 eta: 17:51:46 time: 0.194 data_time: 0.013 memory: 5148 grad_norm: 6.0961 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9842 loss: 1.9842 2022/06/28 03:39:23 - mmengine - INFO - Epoch(train) [36][1840/3757] lr: 1.000e-02 eta: 17:51:43 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.5771 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9403 loss: 1.9403 2022/06/28 03:39:28 - mmengine - INFO - Epoch(train) [36][1860/3757] lr: 1.000e-02 eta: 17:51:38 time: 1.092 data_time: 0.009 memory: 5148 grad_norm: 5.7060 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9489 loss: 1.9489 2022/06/28 03:39:33 - mmengine - INFO - Epoch(train) [36][1880/3757] lr: 1.000e-02 eta: 17:51:31 time: 0.198 data_time: 0.015 memory: 5148 grad_norm: 5.5157 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2518 loss: 2.2518 2022/06/28 03:39:39 - mmengine - INFO - Epoch(train) [36][1900/3757] lr: 1.000e-02 eta: 17:51:27 time: 0.194 data_time: 0.012 memory: 5148 grad_norm: 5.6255 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5052 loss: 2.5052 2022/06/28 03:39:44 - mmengine - INFO - Epoch(train) [36][1920/3757] lr: 1.000e-02 eta: 17:51:22 time: 0.538 data_time: 0.010 memory: 5148 grad_norm: 5.2259 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8413 loss: 1.8413 2022/06/28 03:39:49 - mmengine - INFO - Epoch(train) [36][1940/3757] lr: 1.000e-02 eta: 17:51:15 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.3856 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0423 loss: 2.0423 2022/06/28 03:39:54 - mmengine - INFO - Epoch(train) [36][1960/3757] lr: 1.000e-02 eta: 17:51:10 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 5.6956 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8958 loss: 1.8958 2022/06/28 03:39:59 - mmengine - INFO - Epoch(train) [36][1980/3757] lr: 1.000e-02 eta: 17:51:05 time: 0.776 data_time: 0.010 memory: 5148 grad_norm: 5.9564 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4004 loss: 2.4004 2022/06/28 03:40:04 - mmengine - INFO - Epoch(train) [36][2000/3757] lr: 1.000e-02 eta: 17:50:59 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 5.6114 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7811 loss: 1.7811 2022/06/28 03:40:10 - mmengine - INFO - Epoch(train) [36][2020/3757] lr: 1.000e-02 eta: 17:50:55 time: 0.208 data_time: 0.010 memory: 5148 grad_norm: 5.5945 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5247 loss: 2.5247 2022/06/28 03:40:16 - mmengine - INFO - Epoch(train) [36][2040/3757] lr: 1.000e-02 eta: 17:50:50 time: 0.712 data_time: 0.016 memory: 5148 grad_norm: 6.2019 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7212 loss: 1.7212 2022/06/28 03:40:20 - mmengine - INFO - Epoch(train) [36][2060/3757] lr: 1.000e-02 eta: 17:50:42 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 6.0551 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6943 loss: 1.6943 2022/06/28 03:40:26 - mmengine - INFO - Epoch(train) [36][2080/3757] lr: 1.000e-02 eta: 17:50:38 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.7925 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1323 loss: 2.1323 2022/06/28 03:40:31 - mmengine - INFO - Epoch(train) [36][2100/3757] lr: 1.000e-02 eta: 17:50:33 time: 0.849 data_time: 0.014 memory: 5148 grad_norm: 5.5408 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0043 loss: 2.0043 2022/06/28 03:40:36 - mmengine - INFO - Epoch(train) [36][2120/3757] lr: 1.000e-02 eta: 17:50:27 time: 0.200 data_time: 0.017 memory: 5148 grad_norm: 5.7091 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1460 loss: 2.1460 2022/06/28 03:40:42 - mmengine - INFO - Epoch(train) [36][2140/3757] lr: 1.000e-02 eta: 17:50:23 time: 0.212 data_time: 0.017 memory: 5148 grad_norm: 5.3739 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6382 loss: 2.6382 2022/06/28 03:40:47 - mmengine - INFO - Epoch(train) [36][2160/3757] lr: 1.000e-02 eta: 17:50:18 time: 1.080 data_time: 0.011 memory: 5148 grad_norm: 5.6710 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2041 loss: 2.2041 2022/06/28 03:40:53 - mmengine - INFO - Epoch(train) [36][2180/3757] lr: 1.000e-02 eta: 17:50:12 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 5.4312 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4259 loss: 2.4259 2022/06/28 03:40:58 - mmengine - INFO - Epoch(train) [36][2200/3757] lr: 1.000e-02 eta: 17:50:07 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 5.1670 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7530 loss: 1.7530 2022/06/28 03:41:04 - mmengine - INFO - Epoch(train) [36][2220/3757] lr: 1.000e-02 eta: 17:50:02 time: 0.230 data_time: 0.010 memory: 5148 grad_norm: 4.8184 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9546 loss: 2.9546 2022/06/28 03:41:08 - mmengine - INFO - Epoch(train) [36][2240/3757] lr: 1.000e-02 eta: 17:49:55 time: 0.200 data_time: 0.014 memory: 5148 grad_norm: 5.9418 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8691 loss: 1.8691 2022/06/28 03:41:13 - mmengine - INFO - Epoch(train) [36][2260/3757] lr: 1.000e-02 eta: 17:49:49 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 5.4846 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9613 loss: 1.9613 2022/06/28 03:41:18 - mmengine - INFO - Epoch(train) [36][2280/3757] lr: 1.000e-02 eta: 17:49:44 time: 0.961 data_time: 0.008 memory: 5148 grad_norm: 4.9242 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7865 loss: 1.7865 2022/06/28 03:41:23 - mmengine - INFO - Epoch(train) [36][2300/3757] lr: 1.000e-02 eta: 17:49:38 time: 0.210 data_time: 0.024 memory: 5148 grad_norm: 5.6271 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1632 loss: 2.1632 2022/06/28 03:41:29 - mmengine - INFO - Epoch(train) [36][2320/3757] lr: 1.000e-02 eta: 17:49:33 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 5.4630 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9168 loss: 1.9168 2022/06/28 03:41:35 - mmengine - INFO - Epoch(train) [36][2340/3757] lr: 1.000e-02 eta: 17:49:29 time: 1.240 data_time: 0.007 memory: 5148 grad_norm: 5.5707 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5038 loss: 1.5038 2022/06/28 03:41:40 - mmengine - INFO - Epoch(train) [36][2360/3757] lr: 1.000e-02 eta: 17:49:23 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 6.8883 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2021 loss: 2.2021 2022/06/28 03:41:46 - mmengine - INFO - Epoch(train) [36][2380/3757] lr: 1.000e-02 eta: 17:49:19 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.8017 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4852 loss: 1.4852 2022/06/28 03:41:51 - mmengine - INFO - Epoch(train) [36][2400/3757] lr: 1.000e-02 eta: 17:49:14 time: 0.741 data_time: 0.006 memory: 5148 grad_norm: 5.7901 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9536 loss: 1.9536 2022/06/28 03:41:56 - mmengine - INFO - Epoch(train) [36][2420/3757] lr: 1.000e-02 eta: 17:49:08 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 6.1063 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7897 loss: 1.7897 2022/06/28 03:42:02 - mmengine - INFO - Epoch(train) [36][2440/3757] lr: 1.000e-02 eta: 17:49:04 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 5.2653 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8496 loss: 1.8496 2022/06/28 03:42:07 - mmengine - INFO - Epoch(train) [36][2460/3757] lr: 1.000e-02 eta: 17:48:57 time: 0.426 data_time: 0.006 memory: 5148 grad_norm: 5.7637 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2730 loss: 2.2730 2022/06/28 03:42:12 - mmengine - INFO - Epoch(train) [36][2480/3757] lr: 1.000e-02 eta: 17:48:51 time: 0.212 data_time: 0.016 memory: 5148 grad_norm: 5.7759 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1972 loss: 2.1972 2022/06/28 03:42:17 - mmengine - INFO - Epoch(train) [36][2500/3757] lr: 1.000e-02 eta: 17:48:46 time: 0.218 data_time: 0.007 memory: 5148 grad_norm: 5.4614 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7511 loss: 1.7511 2022/06/28 03:42:18 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 03:42:22 - mmengine - INFO - Epoch(train) [36][2520/3757] lr: 1.000e-02 eta: 17:48:40 time: 0.220 data_time: 0.007 memory: 5148 grad_norm: 5.9666 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8155 loss: 1.8155 2022/06/28 03:42:27 - mmengine - INFO - Epoch(train) [36][2540/3757] lr: 1.000e-02 eta: 17:48:34 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 6.0094 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8531 loss: 1.8531 2022/06/28 03:42:33 - mmengine - INFO - Epoch(train) [36][2560/3757] lr: 1.000e-02 eta: 17:48:29 time: 0.210 data_time: 0.006 memory: 5148 grad_norm: 5.4365 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0427 loss: 2.0427 2022/06/28 03:42:38 - mmengine - INFO - Epoch(train) [36][2580/3757] lr: 1.000e-02 eta: 17:48:24 time: 0.202 data_time: 0.018 memory: 5148 grad_norm: 5.7094 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.0798 loss: 2.0798 2022/06/28 03:42:43 - mmengine - INFO - Epoch(train) [36][2600/3757] lr: 1.000e-02 eta: 17:48:19 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.2142 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5400 loss: 2.5400 2022/06/28 03:42:49 - mmengine - INFO - Epoch(train) [36][2620/3757] lr: 1.000e-02 eta: 17:48:14 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.9806 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2729 loss: 2.2729 2022/06/28 03:42:54 - mmengine - INFO - Epoch(train) [36][2640/3757] lr: 1.000e-02 eta: 17:48:09 time: 0.357 data_time: 0.019 memory: 5148 grad_norm: 5.4899 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2852 loss: 2.2852 2022/06/28 03:43:00 - mmengine - INFO - Epoch(train) [36][2660/3757] lr: 1.000e-02 eta: 17:48:04 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.5931 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9382 loss: 1.9382 2022/06/28 03:43:05 - mmengine - INFO - Epoch(train) [36][2680/3757] lr: 1.000e-02 eta: 17:47:59 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 4.5505 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3343 loss: 1.3343 2022/06/28 03:43:10 - mmengine - INFO - Epoch(train) [36][2700/3757] lr: 1.000e-02 eta: 17:47:53 time: 0.444 data_time: 0.012 memory: 5148 grad_norm: 6.0389 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.3673 loss: 2.3673 2022/06/28 03:43:16 - mmengine - INFO - Epoch(train) [36][2720/3757] lr: 1.000e-02 eta: 17:47:48 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.5944 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9661 loss: 1.9661 2022/06/28 03:43:21 - mmengine - INFO - Epoch(train) [36][2740/3757] lr: 1.000e-02 eta: 17:47:43 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 5.2916 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4544 loss: 1.4544 2022/06/28 03:43:27 - mmengine - INFO - Epoch(train) [36][2760/3757] lr: 1.000e-02 eta: 17:47:38 time: 0.464 data_time: 0.015 memory: 5148 grad_norm: 6.7812 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0637 loss: 2.0637 2022/06/28 03:43:32 - mmengine - INFO - Epoch(train) [36][2780/3757] lr: 1.000e-02 eta: 17:47:33 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 5.7509 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1169 loss: 2.1169 2022/06/28 03:43:37 - mmengine - INFO - Epoch(train) [36][2800/3757] lr: 1.000e-02 eta: 17:47:27 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 5.2834 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2177 loss: 2.2177 2022/06/28 03:43:42 - mmengine - INFO - Epoch(train) [36][2820/3757] lr: 1.000e-02 eta: 17:47:22 time: 0.340 data_time: 0.014 memory: 5148 grad_norm: 6.1655 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4610 loss: 1.4610 2022/06/28 03:43:47 - mmengine - INFO - Epoch(train) [36][2840/3757] lr: 1.000e-02 eta: 17:47:16 time: 0.215 data_time: 0.009 memory: 5148 grad_norm: 5.6957 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0786 loss: 2.0786 2022/06/28 03:43:53 - mmengine - INFO - Epoch(train) [36][2860/3757] lr: 1.000e-02 eta: 17:47:11 time: 0.203 data_time: 0.023 memory: 5148 grad_norm: 5.3996 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2681 loss: 2.2681 2022/06/28 03:43:59 - mmengine - INFO - Epoch(train) [36][2880/3757] lr: 1.000e-02 eta: 17:47:06 time: 0.585 data_time: 0.012 memory: 5148 grad_norm: 5.7621 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8440 loss: 1.8440 2022/06/28 03:44:04 - mmengine - INFO - Epoch(train) [36][2900/3757] lr: 1.000e-02 eta: 17:47:00 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.4236 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0700 loss: 2.0700 2022/06/28 03:44:09 - mmengine - INFO - Epoch(train) [36][2920/3757] lr: 1.000e-02 eta: 17:46:56 time: 0.227 data_time: 0.045 memory: 5148 grad_norm: 5.5926 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7334 loss: 1.7334 2022/06/28 03:44:14 - mmengine - INFO - Epoch(train) [36][2940/3757] lr: 1.000e-02 eta: 17:46:50 time: 0.465 data_time: 0.013 memory: 5148 grad_norm: 5.4084 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0177 loss: 2.0177 2022/06/28 03:44:20 - mmengine - INFO - Epoch(train) [36][2960/3757] lr: 1.000e-02 eta: 17:46:45 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.3288 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8026 loss: 1.8026 2022/06/28 03:44:25 - mmengine - INFO - Epoch(train) [36][2980/3757] lr: 1.000e-02 eta: 17:46:40 time: 0.207 data_time: 0.032 memory: 5148 grad_norm: 5.2240 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2294 loss: 2.2294 2022/06/28 03:44:31 - mmengine - INFO - Epoch(train) [36][3000/3757] lr: 1.000e-02 eta: 17:46:35 time: 0.915 data_time: 0.015 memory: 5148 grad_norm: 6.2060 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7924 loss: 1.7924 2022/06/28 03:44:35 - mmengine - INFO - Epoch(train) [36][3020/3757] lr: 1.000e-02 eta: 17:46:28 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.8008 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8201 loss: 1.8201 2022/06/28 03:44:41 - mmengine - INFO - Epoch(train) [36][3040/3757] lr: 1.000e-02 eta: 17:46:24 time: 0.263 data_time: 0.047 memory: 5148 grad_norm: 5.9069 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9925 loss: 1.9925 2022/06/28 03:44:47 - mmengine - INFO - Epoch(train) [36][3060/3757] lr: 1.000e-02 eta: 17:46:19 time: 0.210 data_time: 0.010 memory: 5148 grad_norm: 5.0627 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1189 loss: 2.1189 2022/06/28 03:44:52 - mmengine - INFO - Epoch(train) [36][3080/3757] lr: 1.000e-02 eta: 17:46:13 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 5.0799 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1044 loss: 2.1044 2022/06/28 03:44:57 - mmengine - INFO - Epoch(train) [36][3100/3757] lr: 1.000e-02 eta: 17:46:08 time: 0.195 data_time: 0.019 memory: 5148 grad_norm: 6.0735 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9478 loss: 1.9478 2022/06/28 03:45:03 - mmengine - INFO - Epoch(train) [36][3120/3757] lr: 1.000e-02 eta: 17:46:03 time: 0.230 data_time: 0.011 memory: 5148 grad_norm: 6.4645 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0591 loss: 2.0591 2022/06/28 03:45:08 - mmengine - INFO - Epoch(train) [36][3140/3757] lr: 1.000e-02 eta: 17:45:58 time: 0.197 data_time: 0.016 memory: 5148 grad_norm: 6.0019 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.4820 loss: 2.4820 2022/06/28 03:45:13 - mmengine - INFO - Epoch(train) [36][3160/3757] lr: 1.000e-02 eta: 17:45:53 time: 0.238 data_time: 0.013 memory: 5148 grad_norm: 5.5659 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2161 loss: 2.2161 2022/06/28 03:45:19 - mmengine - INFO - Epoch(train) [36][3180/3757] lr: 1.000e-02 eta: 17:45:47 time: 0.208 data_time: 0.010 memory: 5148 grad_norm: 6.0336 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1108 loss: 2.1108 2022/06/28 03:45:24 - mmengine - INFO - Epoch(train) [36][3200/3757] lr: 1.000e-02 eta: 17:45:42 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 5.8636 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6460 loss: 1.6460 2022/06/28 03:45:29 - mmengine - INFO - Epoch(train) [36][3220/3757] lr: 1.000e-02 eta: 17:45:36 time: 0.201 data_time: 0.013 memory: 5148 grad_norm: 5.9655 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1608 loss: 2.1608 2022/06/28 03:45:35 - mmengine - INFO - Epoch(train) [36][3240/3757] lr: 1.000e-02 eta: 17:45:31 time: 1.007 data_time: 0.007 memory: 5148 grad_norm: 6.1213 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1086 loss: 2.1086 2022/06/28 03:45:40 - mmengine - INFO - Epoch(train) [36][3260/3757] lr: 1.000e-02 eta: 17:45:26 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 5.8260 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2458 loss: 2.2458 2022/06/28 03:45:45 - mmengine - INFO - Epoch(train) [36][3280/3757] lr: 1.000e-02 eta: 17:45:21 time: 0.202 data_time: 0.023 memory: 5148 grad_norm: 5.0207 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8515 loss: 1.8515 2022/06/28 03:45:50 - mmengine - INFO - Epoch(train) [36][3300/3757] lr: 1.000e-02 eta: 17:45:15 time: 0.761 data_time: 0.007 memory: 5148 grad_norm: 5.6872 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0570 loss: 2.0570 2022/06/28 03:45:55 - mmengine - INFO - Epoch(train) [36][3320/3757] lr: 1.000e-02 eta: 17:45:09 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 6.4795 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9080 loss: 1.9080 2022/06/28 03:46:01 - mmengine - INFO - Epoch(train) [36][3340/3757] lr: 1.000e-02 eta: 17:45:05 time: 0.217 data_time: 0.033 memory: 5148 grad_norm: 5.4393 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7289 loss: 1.7289 2022/06/28 03:46:07 - mmengine - INFO - Epoch(train) [36][3360/3757] lr: 1.000e-02 eta: 17:45:00 time: 0.944 data_time: 0.008 memory: 5148 grad_norm: 5.7726 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7123 loss: 1.7123 2022/06/28 03:46:12 - mmengine - INFO - Epoch(train) [36][3380/3757] lr: 1.000e-02 eta: 17:44:54 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.4353 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 1.9151 loss: 1.9151 2022/06/28 03:46:17 - mmengine - INFO - Epoch(train) [36][3400/3757] lr: 1.000e-02 eta: 17:44:49 time: 0.367 data_time: 0.021 memory: 5148 grad_norm: 6.0964 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1338 loss: 2.1338 2022/06/28 03:46:22 - mmengine - INFO - Epoch(train) [36][3420/3757] lr: 1.000e-02 eta: 17:44:43 time: 0.777 data_time: 0.008 memory: 5148 grad_norm: 5.7263 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8460 loss: 1.8460 2022/06/28 03:46:28 - mmengine - INFO - Epoch(train) [36][3440/3757] lr: 1.000e-02 eta: 17:44:38 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.3096 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2068 loss: 2.2068 2022/06/28 03:46:33 - mmengine - INFO - Epoch(train) [36][3460/3757] lr: 1.000e-02 eta: 17:44:32 time: 0.199 data_time: 0.016 memory: 5148 grad_norm: 6.0935 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2424 loss: 2.2424 2022/06/28 03:46:38 - mmengine - INFO - Epoch(train) [36][3480/3757] lr: 1.000e-02 eta: 17:44:27 time: 0.828 data_time: 0.006 memory: 5148 grad_norm: 6.5055 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2046 loss: 2.2046 2022/06/28 03:46:44 - mmengine - INFO - Epoch(train) [36][3500/3757] lr: 1.000e-02 eta: 17:44:22 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 6.9948 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1981 loss: 2.1981 2022/06/28 03:46:45 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 03:46:48 - mmengine - INFO - Epoch(train) [36][3520/3757] lr: 1.000e-02 eta: 17:44:16 time: 0.197 data_time: 0.018 memory: 5148 grad_norm: 5.8979 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9636 loss: 1.9636 2022/06/28 03:46:54 - mmengine - INFO - Epoch(train) [36][3540/3757] lr: 1.000e-02 eta: 17:44:11 time: 0.197 data_time: 0.013 memory: 5148 grad_norm: 5.9101 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9693 loss: 1.9693 2022/06/28 03:46:59 - mmengine - INFO - Epoch(train) [36][3560/3757] lr: 1.000e-02 eta: 17:44:05 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 5.6455 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1281 loss: 2.1281 2022/06/28 03:47:04 - mmengine - INFO - Epoch(train) [36][3580/3757] lr: 1.000e-02 eta: 17:44:00 time: 0.189 data_time: 0.007 memory: 5148 grad_norm: 5.7785 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6138 loss: 1.6138 2022/06/28 03:47:09 - mmengine - INFO - Epoch(train) [36][3600/3757] lr: 1.000e-02 eta: 17:43:54 time: 0.268 data_time: 0.012 memory: 5148 grad_norm: 5.3769 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2961 loss: 2.2961 2022/06/28 03:47:15 - mmengine - INFO - Epoch(train) [36][3620/3757] lr: 1.000e-02 eta: 17:43:50 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 5.8152 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7299 loss: 1.7299 2022/06/28 03:47:21 - mmengine - INFO - Epoch(train) [36][3640/3757] lr: 1.000e-02 eta: 17:43:45 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.4273 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7974 loss: 1.7974 2022/06/28 03:47:26 - mmengine - INFO - Epoch(train) [36][3660/3757] lr: 1.000e-02 eta: 17:43:39 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 5.7796 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1151 loss: 2.1151 2022/06/28 03:47:31 - mmengine - INFO - Epoch(train) [36][3680/3757] lr: 1.000e-02 eta: 17:43:34 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 5.2682 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2067 loss: 2.2067 2022/06/28 03:47:36 - mmengine - INFO - Epoch(train) [36][3700/3757] lr: 1.000e-02 eta: 17:43:28 time: 0.191 data_time: 0.008 memory: 5148 grad_norm: 4.9346 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8512 loss: 1.8512 2022/06/28 03:47:42 - mmengine - INFO - Epoch(train) [36][3720/3757] lr: 1.000e-02 eta: 17:43:23 time: 0.226 data_time: 0.007 memory: 5148 grad_norm: 5.4500 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1471 loss: 2.1471 2022/06/28 03:47:47 - mmengine - INFO - Epoch(train) [36][3740/3757] lr: 1.000e-02 eta: 17:43:18 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 6.1751 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0499 loss: 2.0499 2022/06/28 03:47:51 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 03:47:58 - mmengine - INFO - Epoch(val) [36][20/310] eta: 0:01:19 time: 0.515 data_time: 0.434 memory: 5148 2022/06/28 03:48:02 - mmengine - INFO - Epoch(val) [36][40/310] eta: 0:00:59 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 03:48:08 - mmengine - INFO - Epoch(val) [36][60/310] eta: 0:00:54 time: 0.086 data_time: 0.009 memory: 1367 2022/06/28 03:48:13 - mmengine - INFO - Epoch(val) [36][80/310] eta: 0:01:00 time: 0.163 data_time: 0.090 memory: 1367 2022/06/28 03:48:19 - mmengine - INFO - Epoch(val) [36][100/310] eta: 0:00:48 time: 0.086 data_time: 0.008 memory: 1367 2022/06/28 03:48:24 - mmengine - INFO - Epoch(val) [36][120/310] eta: 0:00:52 time: 0.497 data_time: 0.426 memory: 1367 2022/06/28 03:48:30 - mmengine - INFO - Epoch(val) [36][140/310] eta: 0:00:54 time: 0.960 data_time: 0.888 memory: 1367 2022/06/28 03:48:35 - mmengine - INFO - Epoch(val) [36][160/310] eta: 0:00:40 time: 0.602 data_time: 0.530 memory: 1367 2022/06/28 03:48:41 - mmengine - INFO - Epoch(val) [36][180/310] eta: 0:00:45 time: 1.208 data_time: 1.137 memory: 1367 2022/06/28 03:48:45 - mmengine - INFO - Epoch(val) [36][200/310] eta: 0:00:27 time: 0.192 data_time: 0.116 memory: 1367 2022/06/28 03:48:51 - mmengine - INFO - Epoch(val) [36][220/310] eta: 0:00:32 time: 0.504 data_time: 0.433 memory: 1367 2022/06/28 03:48:56 - mmengine - INFO - Epoch(val) [36][240/310] eta: 0:00:15 time: 0.080 data_time: 0.008 memory: 1367 2022/06/28 03:49:01 - mmengine - INFO - Epoch(val) [36][260/310] eta: 0:00:17 time: 0.414 data_time: 0.320 memory: 1367 2022/06/28 03:49:06 - mmengine - INFO - Epoch(val) [36][280/310] eta: 0:00:06 time: 0.087 data_time: 0.012 memory: 1367 2022/06/28 03:49:12 - mmengine - INFO - Epoch(val) [36][300/310] eta: 0:00:03 time: 0.562 data_time: 0.485 memory: 1367 2022/06/28 03:49:15 - mmengine - INFO - Epoch(val) [36][310/310] acc/top1: 0.5631 acc/top5: 0.7984 acc/mean1: 0.5630 2022/06/28 03:49:23 - mmengine - INFO - Epoch(train) [37][20/3757] lr: 1.000e-02 eta: 17:43:09 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.2105 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6343 loss: 1.6343 2022/06/28 03:49:29 - mmengine - INFO - Epoch(train) [37][40/3757] lr: 1.000e-02 eta: 17:43:05 time: 0.195 data_time: 0.013 memory: 5148 grad_norm: 5.3586 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7679 loss: 1.7679 2022/06/28 03:49:34 - mmengine - INFO - Epoch(train) [37][60/3757] lr: 1.000e-02 eta: 17:42:59 time: 0.206 data_time: 0.006 memory: 5148 grad_norm: 5.4804 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6617 loss: 1.6617 2022/06/28 03:49:39 - mmengine - INFO - Epoch(train) [37][80/3757] lr: 1.000e-02 eta: 17:42:54 time: 0.193 data_time: 0.014 memory: 5148 grad_norm: 5.6962 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2873 loss: 2.2873 2022/06/28 03:49:45 - mmengine - INFO - Epoch(train) [37][100/3757] lr: 1.000e-02 eta: 17:42:49 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.8415 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1212 loss: 2.1212 2022/06/28 03:49:50 - mmengine - INFO - Epoch(train) [37][120/3757] lr: 1.000e-02 eta: 17:42:43 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.5364 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9748 loss: 1.9748 2022/06/28 03:49:55 - mmengine - INFO - Epoch(train) [37][140/3757] lr: 1.000e-02 eta: 17:42:38 time: 0.314 data_time: 0.015 memory: 5148 grad_norm: 5.4398 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9089 loss: 1.9089 2022/06/28 03:50:01 - mmengine - INFO - Epoch(train) [37][160/3757] lr: 1.000e-02 eta: 17:42:34 time: 0.218 data_time: 0.015 memory: 5148 grad_norm: 5.5652 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.2421 loss: 2.2421 2022/06/28 03:50:06 - mmengine - INFO - Epoch(train) [37][180/3757] lr: 1.000e-02 eta: 17:42:28 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.3552 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6738 loss: 1.6738 2022/06/28 03:50:12 - mmengine - INFO - Epoch(train) [37][200/3757] lr: 1.000e-02 eta: 17:42:23 time: 0.229 data_time: 0.036 memory: 5148 grad_norm: 5.6174 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9570 loss: 1.9570 2022/06/28 03:50:17 - mmengine - INFO - Epoch(train) [37][220/3757] lr: 1.000e-02 eta: 17:42:18 time: 0.202 data_time: 0.024 memory: 5148 grad_norm: 6.0289 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7697 loss: 1.7697 2022/06/28 03:50:22 - mmengine - INFO - Epoch(train) [37][240/3757] lr: 1.000e-02 eta: 17:42:12 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 5.5938 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9697 loss: 1.9697 2022/06/28 03:50:28 - mmengine - INFO - Epoch(train) [37][260/3757] lr: 1.000e-02 eta: 17:42:08 time: 0.213 data_time: 0.012 memory: 5148 grad_norm: 5.5956 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9345 loss: 1.9345 2022/06/28 03:50:33 - mmengine - INFO - Epoch(train) [37][280/3757] lr: 1.000e-02 eta: 17:42:03 time: 0.201 data_time: 0.021 memory: 5148 grad_norm: 5.9918 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2134 loss: 2.2134 2022/06/28 03:50:38 - mmengine - INFO - Epoch(train) [37][300/3757] lr: 1.000e-02 eta: 17:41:56 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.4380 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8667 loss: 1.8667 2022/06/28 03:50:44 - mmengine - INFO - Epoch(train) [37][320/3757] lr: 1.000e-02 eta: 17:41:52 time: 0.468 data_time: 0.007 memory: 5148 grad_norm: 6.0923 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1460 loss: 2.1460 2022/06/28 03:50:49 - mmengine - INFO - Epoch(train) [37][340/3757] lr: 1.000e-02 eta: 17:41:46 time: 0.213 data_time: 0.031 memory: 5148 grad_norm: 5.7487 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0303 loss: 2.0303 2022/06/28 03:50:54 - mmengine - INFO - Epoch(train) [37][360/3757] lr: 1.000e-02 eta: 17:41:41 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.0422 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1727 loss: 2.1727 2022/06/28 03:50:59 - mmengine - INFO - Epoch(train) [37][380/3757] lr: 1.000e-02 eta: 17:41:35 time: 0.299 data_time: 0.007 memory: 5148 grad_norm: 6.8916 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4505 loss: 2.4505 2022/06/28 03:51:05 - mmengine - INFO - Epoch(train) [37][400/3757] lr: 1.000e-02 eta: 17:41:31 time: 0.209 data_time: 0.024 memory: 5148 grad_norm: 6.0012 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0336 loss: 2.0336 2022/06/28 03:51:10 - mmengine - INFO - Epoch(train) [37][420/3757] lr: 1.000e-02 eta: 17:41:25 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 5.8030 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7387 loss: 1.7387 2022/06/28 03:51:16 - mmengine - INFO - Epoch(train) [37][440/3757] lr: 1.000e-02 eta: 17:41:20 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 5.0424 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9785 loss: 1.9785 2022/06/28 03:51:21 - mmengine - INFO - Epoch(train) [37][460/3757] lr: 1.000e-02 eta: 17:41:14 time: 0.216 data_time: 0.031 memory: 5148 grad_norm: 5.8765 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0463 loss: 2.0463 2022/06/28 03:51:25 - mmengine - INFO - Epoch(train) [37][480/3757] lr: 1.000e-02 eta: 17:41:08 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.0036 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1414 loss: 2.1414 2022/06/28 03:51:31 - mmengine - INFO - Epoch(train) [37][500/3757] lr: 1.000e-02 eta: 17:41:03 time: 0.194 data_time: 0.011 memory: 5148 grad_norm: 5.8337 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8409 loss: 1.8409 2022/06/28 03:51:36 - mmengine - INFO - Epoch(train) [37][520/3757] lr: 1.000e-02 eta: 17:40:58 time: 0.202 data_time: 0.018 memory: 5148 grad_norm: 6.2281 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9893 loss: 1.9893 2022/06/28 03:51:41 - mmengine - INFO - Epoch(train) [37][540/3757] lr: 1.000e-02 eta: 17:40:52 time: 0.220 data_time: 0.011 memory: 5148 grad_norm: 5.8650 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8863 loss: 1.8863 2022/06/28 03:51:47 - mmengine - INFO - Epoch(train) [37][560/3757] lr: 1.000e-02 eta: 17:40:48 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 5.4447 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0008 loss: 2.0008 2022/06/28 03:51:53 - mmengine - INFO - Epoch(train) [37][580/3757] lr: 1.000e-02 eta: 17:40:42 time: 0.200 data_time: 0.015 memory: 5148 grad_norm: 5.9410 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7900 loss: 1.7900 2022/06/28 03:51:58 - mmengine - INFO - Epoch(train) [37][600/3757] lr: 1.000e-02 eta: 17:40:36 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.3072 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6019 loss: 1.6019 2022/06/28 03:52:03 - mmengine - INFO - Epoch(train) [37][620/3757] lr: 1.000e-02 eta: 17:40:32 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 5.6458 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6864 loss: 1.6864 2022/06/28 03:52:08 - mmengine - INFO - Epoch(train) [37][640/3757] lr: 1.000e-02 eta: 17:40:26 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 5.9572 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5431 loss: 1.5431 2022/06/28 03:52:14 - mmengine - INFO - Epoch(train) [37][660/3757] lr: 1.000e-02 eta: 17:40:21 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 6.1395 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1119 loss: 2.1119 2022/06/28 03:52:20 - mmengine - INFO - Epoch(train) [37][680/3757] lr: 1.000e-02 eta: 17:40:16 time: 0.220 data_time: 0.007 memory: 5148 grad_norm: 4.7919 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0711 loss: 2.0711 2022/06/28 03:52:25 - mmengine - INFO - Epoch(train) [37][700/3757] lr: 1.000e-02 eta: 17:40:10 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.1503 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1389 loss: 2.1389 2022/06/28 03:52:30 - mmengine - INFO - Epoch(train) [37][720/3757] lr: 1.000e-02 eta: 17:40:05 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 6.5857 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3589 loss: 2.3589 2022/06/28 03:52:35 - mmengine - INFO - Epoch(train) [37][740/3757] lr: 1.000e-02 eta: 17:40:00 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.6605 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5312 loss: 1.5312 2022/06/28 03:52:38 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 03:52:41 - mmengine - INFO - Epoch(train) [37][760/3757] lr: 1.000e-02 eta: 17:39:55 time: 0.445 data_time: 0.006 memory: 5148 grad_norm: 5.7638 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2785 loss: 2.2785 2022/06/28 03:52:46 - mmengine - INFO - Epoch(train) [37][780/3757] lr: 1.000e-02 eta: 17:39:50 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.6472 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4852 loss: 1.4852 2022/06/28 03:52:52 - mmengine - INFO - Epoch(train) [37][800/3757] lr: 1.000e-02 eta: 17:39:45 time: 0.260 data_time: 0.028 memory: 5148 grad_norm: 5.7605 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9488 loss: 1.9488 2022/06/28 03:52:57 - mmengine - INFO - Epoch(train) [37][820/3757] lr: 1.000e-02 eta: 17:39:39 time: 0.337 data_time: 0.014 memory: 5148 grad_norm: 5.1034 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7248 loss: 1.7248 2022/06/28 03:53:02 - mmengine - INFO - Epoch(train) [37][840/3757] lr: 1.000e-02 eta: 17:39:34 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 4.7986 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9145 loss: 1.9145 2022/06/28 03:53:08 - mmengine - INFO - Epoch(train) [37][860/3757] lr: 1.000e-02 eta: 17:39:30 time: 0.200 data_time: 0.013 memory: 5148 grad_norm: 5.9410 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9371 loss: 1.9371 2022/06/28 03:53:13 - mmengine - INFO - Epoch(train) [37][880/3757] lr: 1.000e-02 eta: 17:39:24 time: 0.205 data_time: 0.014 memory: 5148 grad_norm: 6.3909 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4230 loss: 2.4230 2022/06/28 03:53:18 - mmengine - INFO - Epoch(train) [37][900/3757] lr: 1.000e-02 eta: 17:39:19 time: 0.212 data_time: 0.010 memory: 5148 grad_norm: 5.3571 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0354 loss: 2.0354 2022/06/28 03:53:24 - mmengine - INFO - Epoch(train) [37][920/3757] lr: 1.000e-02 eta: 17:39:14 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.5871 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1127 loss: 2.1127 2022/06/28 03:53:29 - mmengine - INFO - Epoch(train) [37][940/3757] lr: 1.000e-02 eta: 17:39:08 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 6.5716 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9259 loss: 1.9259 2022/06/28 03:53:34 - mmengine - INFO - Epoch(train) [37][960/3757] lr: 1.000e-02 eta: 17:39:03 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 5.2402 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2347 loss: 2.2347 2022/06/28 03:53:40 - mmengine - INFO - Epoch(train) [37][980/3757] lr: 1.000e-02 eta: 17:38:58 time: 0.343 data_time: 0.010 memory: 5148 grad_norm: 5.4455 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7078 loss: 1.7078 2022/06/28 03:53:45 - mmengine - INFO - Epoch(train) [37][1000/3757] lr: 1.000e-02 eta: 17:38:52 time: 0.213 data_time: 0.012 memory: 5148 grad_norm: 6.3944 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9713 loss: 1.9713 2022/06/28 03:53:50 - mmengine - INFO - Epoch(train) [37][1020/3757] lr: 1.000e-02 eta: 17:38:47 time: 0.237 data_time: 0.010 memory: 5148 grad_norm: 5.9044 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4582 loss: 2.4582 2022/06/28 03:53:56 - mmengine - INFO - Epoch(train) [37][1040/3757] lr: 1.000e-02 eta: 17:38:41 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 5.8651 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9179 loss: 1.9179 2022/06/28 03:54:00 - mmengine - INFO - Epoch(train) [37][1060/3757] lr: 1.000e-02 eta: 17:38:35 time: 0.410 data_time: 0.015 memory: 5148 grad_norm: 6.3873 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5665 loss: 1.5665 2022/06/28 03:54:06 - mmengine - INFO - Epoch(train) [37][1080/3757] lr: 1.000e-02 eta: 17:38:30 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.3643 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9249 loss: 1.9249 2022/06/28 03:54:11 - mmengine - INFO - Epoch(train) [37][1100/3757] lr: 1.000e-02 eta: 17:38:25 time: 0.204 data_time: 0.024 memory: 5148 grad_norm: 6.1583 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9474 loss: 1.9474 2022/06/28 03:54:17 - mmengine - INFO - Epoch(train) [37][1120/3757] lr: 1.000e-02 eta: 17:38:20 time: 0.521 data_time: 0.012 memory: 5148 grad_norm: 5.4265 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9466 loss: 1.9466 2022/06/28 03:54:22 - mmengine - INFO - Epoch(train) [37][1140/3757] lr: 1.000e-02 eta: 17:38:15 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 5.4301 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8822 loss: 1.8822 2022/06/28 03:54:27 - mmengine - INFO - Epoch(train) [37][1160/3757] lr: 1.000e-02 eta: 17:38:10 time: 0.202 data_time: 0.018 memory: 5148 grad_norm: 5.5229 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1558 loss: 2.1558 2022/06/28 03:54:32 - mmengine - INFO - Epoch(train) [37][1180/3757] lr: 1.000e-02 eta: 17:38:04 time: 0.218 data_time: 0.015 memory: 5148 grad_norm: 5.8116 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2103 loss: 2.2103 2022/06/28 03:54:38 - mmengine - INFO - Epoch(train) [37][1200/3757] lr: 1.000e-02 eta: 17:37:59 time: 0.195 data_time: 0.014 memory: 5148 grad_norm: 5.4164 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8610 loss: 1.8610 2022/06/28 03:54:43 - mmengine - INFO - Epoch(train) [37][1220/3757] lr: 1.000e-02 eta: 17:37:54 time: 0.193 data_time: 0.012 memory: 5148 grad_norm: 5.6470 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1120 loss: 2.1120 2022/06/28 03:54:49 - mmengine - INFO - Epoch(train) [37][1240/3757] lr: 1.000e-02 eta: 17:37:48 time: 0.214 data_time: 0.006 memory: 5148 grad_norm: 5.7899 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6319 loss: 1.6319 2022/06/28 03:54:54 - mmengine - INFO - Epoch(train) [37][1260/3757] lr: 1.000e-02 eta: 17:37:43 time: 0.195 data_time: 0.020 memory: 5148 grad_norm: 5.7642 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2782 loss: 2.2782 2022/06/28 03:55:00 - mmengine - INFO - Epoch(train) [37][1280/3757] lr: 1.000e-02 eta: 17:37:38 time: 0.188 data_time: 0.013 memory: 5148 grad_norm: 5.2704 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8624 loss: 1.8624 2022/06/28 03:55:05 - mmengine - INFO - Epoch(train) [37][1300/3757] lr: 1.000e-02 eta: 17:37:32 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 5.5244 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9972 loss: 1.9972 2022/06/28 03:55:10 - mmengine - INFO - Epoch(train) [37][1320/3757] lr: 1.000e-02 eta: 17:37:27 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 4.8388 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7550 loss: 1.7550 2022/06/28 03:55:15 - mmengine - INFO - Epoch(train) [37][1340/3757] lr: 1.000e-02 eta: 17:37:22 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 6.1955 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.9953 loss: 1.9953 2022/06/28 03:55:20 - mmengine - INFO - Epoch(train) [37][1360/3757] lr: 1.000e-02 eta: 17:37:16 time: 0.216 data_time: 0.006 memory: 5148 grad_norm: 5.6040 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9827 loss: 1.9827 2022/06/28 03:55:26 - mmengine - INFO - Epoch(train) [37][1380/3757] lr: 1.000e-02 eta: 17:37:11 time: 0.201 data_time: 0.016 memory: 5148 grad_norm: 6.2450 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0856 loss: 2.0856 2022/06/28 03:55:32 - mmengine - INFO - Epoch(train) [37][1400/3757] lr: 1.000e-02 eta: 17:37:08 time: 0.204 data_time: 0.015 memory: 5148 grad_norm: 6.2385 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0870 loss: 2.0870 2022/06/28 03:55:37 - mmengine - INFO - Epoch(train) [37][1420/3757] lr: 1.000e-02 eta: 17:37:01 time: 0.194 data_time: 0.009 memory: 5148 grad_norm: 5.4575 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7309 loss: 1.7309 2022/06/28 03:55:42 - mmengine - INFO - Epoch(train) [37][1440/3757] lr: 1.000e-02 eta: 17:36:56 time: 0.214 data_time: 0.006 memory: 5148 grad_norm: 5.7747 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0122 loss: 2.0122 2022/06/28 03:55:48 - mmengine - INFO - Epoch(train) [37][1460/3757] lr: 1.000e-02 eta: 17:36:51 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 6.0533 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1214 loss: 2.1214 2022/06/28 03:55:53 - mmengine - INFO - Epoch(train) [37][1480/3757] lr: 1.000e-02 eta: 17:36:45 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.0820 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9985 loss: 1.9985 2022/06/28 03:55:58 - mmengine - INFO - Epoch(train) [37][1500/3757] lr: 1.000e-02 eta: 17:36:40 time: 0.232 data_time: 0.043 memory: 5148 grad_norm: 6.0075 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9500 loss: 1.9500 2022/06/28 03:56:04 - mmengine - INFO - Epoch(train) [37][1520/3757] lr: 1.000e-02 eta: 17:36:35 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 5.3283 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7204 loss: 1.7204 2022/06/28 03:56:09 - mmengine - INFO - Epoch(train) [37][1540/3757] lr: 1.000e-02 eta: 17:36:29 time: 0.215 data_time: 0.018 memory: 5148 grad_norm: 6.4912 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8399 loss: 1.8399 2022/06/28 03:56:14 - mmengine - INFO - Epoch(train) [37][1560/3757] lr: 1.000e-02 eta: 17:36:24 time: 0.240 data_time: 0.006 memory: 5148 grad_norm: 6.0303 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0686 loss: 2.0686 2022/06/28 03:56:20 - mmengine - INFO - Epoch(train) [37][1580/3757] lr: 1.000e-02 eta: 17:36:20 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.0499 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2416 loss: 2.2416 2022/06/28 03:56:24 - mmengine - INFO - Epoch(train) [37][1600/3757] lr: 1.000e-02 eta: 17:36:13 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 4.7345 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9001 loss: 1.9001 2022/06/28 03:56:30 - mmengine - INFO - Epoch(train) [37][1620/3757] lr: 1.000e-02 eta: 17:36:08 time: 0.209 data_time: 0.013 memory: 5148 grad_norm: 5.2693 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7515 loss: 1.7515 2022/06/28 03:56:36 - mmengine - INFO - Epoch(train) [37][1640/3757] lr: 1.000e-02 eta: 17:36:03 time: 0.196 data_time: 0.006 memory: 5148 grad_norm: 6.5382 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.9705 loss: 1.9705 2022/06/28 03:56:40 - mmengine - INFO - Epoch(train) [37][1660/3757] lr: 1.000e-02 eta: 17:35:56 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 5.4736 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4457 loss: 1.4457 2022/06/28 03:56:45 - mmengine - INFO - Epoch(train) [37][1680/3757] lr: 1.000e-02 eta: 17:35:51 time: 0.211 data_time: 0.011 memory: 5148 grad_norm: 6.0532 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4149 loss: 2.4149 2022/06/28 03:56:50 - mmengine - INFO - Epoch(train) [37][1700/3757] lr: 1.000e-02 eta: 17:35:45 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 6.3554 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9186 loss: 1.9186 2022/06/28 03:56:55 - mmengine - INFO - Epoch(train) [37][1720/3757] lr: 1.000e-02 eta: 17:35:39 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 5.6571 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7963 loss: 1.7963 2022/06/28 03:57:01 - mmengine - INFO - Epoch(train) [37][1740/3757] lr: 1.000e-02 eta: 17:35:34 time: 0.296 data_time: 0.007 memory: 5148 grad_norm: 4.5439 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1678 loss: 2.1678 2022/06/28 03:57:03 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 03:57:06 - mmengine - INFO - Epoch(train) [37][1760/3757] lr: 1.000e-02 eta: 17:35:29 time: 0.204 data_time: 0.012 memory: 5148 grad_norm: 5.4201 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8040 loss: 1.8040 2022/06/28 03:57:12 - mmengine - INFO - Epoch(train) [37][1780/3757] lr: 1.000e-02 eta: 17:35:25 time: 0.458 data_time: 0.031 memory: 5148 grad_norm: 5.8503 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9289 loss: 1.9289 2022/06/28 03:57:17 - mmengine - INFO - Epoch(train) [37][1800/3757] lr: 1.000e-02 eta: 17:35:19 time: 0.292 data_time: 0.007 memory: 5148 grad_norm: 5.0573 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1407 loss: 2.1407 2022/06/28 03:57:22 - mmengine - INFO - Epoch(train) [37][1820/3757] lr: 1.000e-02 eta: 17:35:14 time: 0.200 data_time: 0.013 memory: 5148 grad_norm: 6.0761 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0459 loss: 2.0459 2022/06/28 03:57:28 - mmengine - INFO - Epoch(train) [37][1840/3757] lr: 1.000e-02 eta: 17:35:09 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.0216 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9640 loss: 1.9640 2022/06/28 03:57:33 - mmengine - INFO - Epoch(train) [37][1860/3757] lr: 1.000e-02 eta: 17:35:04 time: 0.216 data_time: 0.012 memory: 5148 grad_norm: 6.0011 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1829 loss: 2.1829 2022/06/28 03:57:38 - mmengine - INFO - Epoch(train) [37][1880/3757] lr: 1.000e-02 eta: 17:34:58 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.5952 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9328 loss: 1.9328 2022/06/28 03:57:44 - mmengine - INFO - Epoch(train) [37][1900/3757] lr: 1.000e-02 eta: 17:34:53 time: 0.200 data_time: 0.009 memory: 5148 grad_norm: 6.1536 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6058 loss: 1.6058 2022/06/28 03:57:49 - mmengine - INFO - Epoch(train) [37][1920/3757] lr: 1.000e-02 eta: 17:34:47 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.4050 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7331 loss: 1.7331 2022/06/28 03:57:54 - mmengine - INFO - Epoch(train) [37][1940/3757] lr: 1.000e-02 eta: 17:34:42 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 5.8337 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6843 loss: 1.6843 2022/06/28 03:58:00 - mmengine - INFO - Epoch(train) [37][1960/3757] lr: 1.000e-02 eta: 17:34:37 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.8856 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8482 loss: 1.8482 2022/06/28 03:58:05 - mmengine - INFO - Epoch(train) [37][1980/3757] lr: 1.000e-02 eta: 17:34:32 time: 0.386 data_time: 0.007 memory: 5148 grad_norm: 5.5415 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2915 loss: 2.2915 2022/06/28 03:58:11 - mmengine - INFO - Epoch(train) [37][2000/3757] lr: 1.000e-02 eta: 17:34:27 time: 0.201 data_time: 0.013 memory: 5148 grad_norm: 5.5002 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8773 loss: 1.8773 2022/06/28 03:58:16 - mmengine - INFO - Epoch(train) [37][2020/3757] lr: 1.000e-02 eta: 17:34:22 time: 0.202 data_time: 0.009 memory: 5148 grad_norm: 5.2550 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7810 loss: 1.7810 2022/06/28 03:58:22 - mmengine - INFO - Epoch(train) [37][2040/3757] lr: 1.000e-02 eta: 17:34:16 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.6152 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9123 loss: 1.9123 2022/06/28 03:58:27 - mmengine - INFO - Epoch(train) [37][2060/3757] lr: 1.000e-02 eta: 17:34:11 time: 0.213 data_time: 0.012 memory: 5148 grad_norm: 6.0189 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0185 loss: 2.0185 2022/06/28 03:58:32 - mmengine - INFO - Epoch(train) [37][2080/3757] lr: 1.000e-02 eta: 17:34:06 time: 0.201 data_time: 0.020 memory: 5148 grad_norm: 5.4919 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1330 loss: 2.1330 2022/06/28 03:58:37 - mmengine - INFO - Epoch(train) [37][2100/3757] lr: 1.000e-02 eta: 17:33:59 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 5.5957 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1538 loss: 2.1538 2022/06/28 03:58:42 - mmengine - INFO - Epoch(train) [37][2120/3757] lr: 1.000e-02 eta: 17:33:54 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.7566 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9152 loss: 1.9152 2022/06/28 03:58:48 - mmengine - INFO - Epoch(train) [37][2140/3757] lr: 1.000e-02 eta: 17:33:50 time: 0.217 data_time: 0.010 memory: 5148 grad_norm: 6.2500 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0160 loss: 2.0160 2022/06/28 03:58:53 - mmengine - INFO - Epoch(train) [37][2160/3757] lr: 1.000e-02 eta: 17:33:44 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 5.4175 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8737 loss: 1.8737 2022/06/28 03:58:59 - mmengine - INFO - Epoch(train) [37][2180/3757] lr: 1.000e-02 eta: 17:33:39 time: 0.192 data_time: 0.011 memory: 5148 grad_norm: 6.4277 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7150 loss: 1.7150 2022/06/28 03:59:04 - mmengine - INFO - Epoch(train) [37][2200/3757] lr: 1.000e-02 eta: 17:33:34 time: 0.232 data_time: 0.014 memory: 5148 grad_norm: 6.6523 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2802 loss: 2.2802 2022/06/28 03:59:09 - mmengine - INFO - Epoch(train) [37][2220/3757] lr: 1.000e-02 eta: 17:33:28 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 4.9939 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0615 loss: 2.0615 2022/06/28 03:59:15 - mmengine - INFO - Epoch(train) [37][2240/3757] lr: 1.000e-02 eta: 17:33:23 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.5651 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8010 loss: 1.8010 2022/06/28 03:59:20 - mmengine - INFO - Epoch(train) [37][2260/3757] lr: 1.000e-02 eta: 17:33:18 time: 0.703 data_time: 0.012 memory: 5148 grad_norm: 5.8718 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3919 loss: 2.3919 2022/06/28 03:59:25 - mmengine - INFO - Epoch(train) [37][2280/3757] lr: 1.000e-02 eta: 17:33:12 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 6.5083 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2254 loss: 2.2254 2022/06/28 03:59:30 - mmengine - INFO - Epoch(train) [37][2300/3757] lr: 1.000e-02 eta: 17:33:07 time: 0.206 data_time: 0.013 memory: 5148 grad_norm: 6.1417 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0591 loss: 2.0591 2022/06/28 03:59:36 - mmengine - INFO - Epoch(train) [37][2320/3757] lr: 1.000e-02 eta: 17:33:03 time: 0.205 data_time: 0.013 memory: 5148 grad_norm: 6.3461 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6808 loss: 1.6808 2022/06/28 03:59:41 - mmengine - INFO - Epoch(train) [37][2340/3757] lr: 1.000e-02 eta: 17:32:56 time: 0.213 data_time: 0.006 memory: 5148 grad_norm: 5.6542 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3184 loss: 2.3184 2022/06/28 03:59:47 - mmengine - INFO - Epoch(train) [37][2360/3757] lr: 1.000e-02 eta: 17:32:52 time: 0.205 data_time: 0.016 memory: 5148 grad_norm: 5.2207 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2855 loss: 2.2855 2022/06/28 03:59:52 - mmengine - INFO - Epoch(train) [37][2380/3757] lr: 1.000e-02 eta: 17:32:46 time: 0.223 data_time: 0.012 memory: 5148 grad_norm: 5.2996 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1153 loss: 2.1153 2022/06/28 03:59:57 - mmengine - INFO - Epoch(train) [37][2400/3757] lr: 1.000e-02 eta: 17:32:40 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 5.4405 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8407 loss: 1.8407 2022/06/28 04:00:04 - mmengine - INFO - Epoch(train) [37][2420/3757] lr: 1.000e-02 eta: 17:32:37 time: 0.213 data_time: 0.010 memory: 5148 grad_norm: 5.4353 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9475 loss: 1.9475 2022/06/28 04:00:08 - mmengine - INFO - Epoch(train) [37][2440/3757] lr: 1.000e-02 eta: 17:32:30 time: 0.197 data_time: 0.016 memory: 5148 grad_norm: 5.4759 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1079 loss: 2.1079 2022/06/28 04:00:13 - mmengine - INFO - Epoch(train) [37][2460/3757] lr: 1.000e-02 eta: 17:32:25 time: 0.208 data_time: 0.016 memory: 5148 grad_norm: 4.9795 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.7109 loss: 1.7109 2022/06/28 04:00:19 - mmengine - INFO - Epoch(train) [37][2480/3757] lr: 1.000e-02 eta: 17:32:20 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 5.5605 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2783 loss: 2.2783 2022/06/28 04:00:24 - mmengine - INFO - Epoch(train) [37][2500/3757] lr: 1.000e-02 eta: 17:32:14 time: 0.225 data_time: 0.013 memory: 5148 grad_norm: 5.7961 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4125 loss: 1.4125 2022/06/28 04:00:29 - mmengine - INFO - Epoch(train) [37][2520/3757] lr: 1.000e-02 eta: 17:32:10 time: 0.215 data_time: 0.024 memory: 5148 grad_norm: 5.8114 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3378 loss: 2.3378 2022/06/28 04:00:35 - mmengine - INFO - Epoch(train) [37][2540/3757] lr: 1.000e-02 eta: 17:32:05 time: 0.213 data_time: 0.010 memory: 5148 grad_norm: 5.2516 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2634 loss: 2.2634 2022/06/28 04:00:40 - mmengine - INFO - Epoch(train) [37][2560/3757] lr: 1.000e-02 eta: 17:31:59 time: 0.209 data_time: 0.027 memory: 5148 grad_norm: 6.4349 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6528 loss: 1.6528 2022/06/28 04:00:45 - mmengine - INFO - Epoch(train) [37][2580/3757] lr: 1.000e-02 eta: 17:31:54 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 4.7842 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6491 loss: 1.6491 2022/06/28 04:00:51 - mmengine - INFO - Epoch(train) [37][2600/3757] lr: 1.000e-02 eta: 17:31:49 time: 0.210 data_time: 0.010 memory: 5148 grad_norm: 5.7417 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7821 loss: 1.7821 2022/06/28 04:00:56 - mmengine - INFO - Epoch(train) [37][2620/3757] lr: 1.000e-02 eta: 17:31:43 time: 0.207 data_time: 0.027 memory: 5148 grad_norm: 5.4140 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7518 loss: 1.7518 2022/06/28 04:01:01 - mmengine - INFO - Epoch(train) [37][2640/3757] lr: 1.000e-02 eta: 17:31:37 time: 0.197 data_time: 0.018 memory: 5148 grad_norm: 6.1576 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8200 loss: 1.8200 2022/06/28 04:01:07 - mmengine - INFO - Epoch(train) [37][2660/3757] lr: 1.000e-02 eta: 17:31:32 time: 0.222 data_time: 0.006 memory: 5148 grad_norm: 6.7969 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4997 loss: 1.4997 2022/06/28 04:01:13 - mmengine - INFO - Epoch(train) [37][2680/3757] lr: 1.000e-02 eta: 17:31:29 time: 0.228 data_time: 0.037 memory: 5148 grad_norm: 5.5497 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6941 loss: 1.6941 2022/06/28 04:01:17 - mmengine - INFO - Epoch(train) [37][2700/3757] lr: 1.000e-02 eta: 17:31:22 time: 0.209 data_time: 0.013 memory: 5148 grad_norm: 5.0933 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6916 loss: 1.6916 2022/06/28 04:01:23 - mmengine - INFO - Epoch(train) [37][2720/3757] lr: 1.000e-02 eta: 17:31:17 time: 0.199 data_time: 0.017 memory: 5148 grad_norm: 5.9783 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0101 loss: 2.0101 2022/06/28 04:01:28 - mmengine - INFO - Epoch(train) [37][2740/3757] lr: 1.000e-02 eta: 17:31:12 time: 0.217 data_time: 0.015 memory: 5148 grad_norm: 6.2276 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5989 loss: 1.5989 2022/06/28 04:01:30 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 04:01:33 - mmengine - INFO - Epoch(train) [37][2760/3757] lr: 1.000e-02 eta: 17:31:06 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.5598 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3465 loss: 2.3465 2022/06/28 04:01:38 - mmengine - INFO - Epoch(train) [37][2780/3757] lr: 1.000e-02 eta: 17:31:00 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 5.9527 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0833 loss: 2.0833 2022/06/28 04:01:44 - mmengine - INFO - Epoch(train) [37][2800/3757] lr: 1.000e-02 eta: 17:30:55 time: 0.202 data_time: 0.020 memory: 5148 grad_norm: 6.4614 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4587 loss: 2.4587 2022/06/28 04:01:49 - mmengine - INFO - Epoch(train) [37][2820/3757] lr: 1.000e-02 eta: 17:30:49 time: 0.223 data_time: 0.010 memory: 5148 grad_norm: 5.7504 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6937 loss: 1.6937 2022/06/28 04:01:54 - mmengine - INFO - Epoch(train) [37][2840/3757] lr: 1.000e-02 eta: 17:30:44 time: 0.222 data_time: 0.006 memory: 5148 grad_norm: 4.8935 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9640 loss: 1.9640 2022/06/28 04:01:59 - mmengine - INFO - Epoch(train) [37][2860/3757] lr: 1.000e-02 eta: 17:30:38 time: 0.196 data_time: 0.009 memory: 5148 grad_norm: 5.4769 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3105 loss: 2.3105 2022/06/28 04:02:05 - mmengine - INFO - Epoch(train) [37][2880/3757] lr: 1.000e-02 eta: 17:30:34 time: 0.514 data_time: 0.010 memory: 5148 grad_norm: 5.6547 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2727 loss: 2.2727 2022/06/28 04:02:10 - mmengine - INFO - Epoch(train) [37][2900/3757] lr: 1.000e-02 eta: 17:30:27 time: 0.195 data_time: 0.006 memory: 5148 grad_norm: 5.9019 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0141 loss: 2.0141 2022/06/28 04:02:15 - mmengine - INFO - Epoch(train) [37][2920/3757] lr: 1.000e-02 eta: 17:30:23 time: 0.199 data_time: 0.012 memory: 5148 grad_norm: 4.9801 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0996 loss: 2.0996 2022/06/28 04:02:21 - mmengine - INFO - Epoch(train) [37][2940/3757] lr: 1.000e-02 eta: 17:30:18 time: 0.655 data_time: 0.013 memory: 5148 grad_norm: 6.2985 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5364 loss: 1.5364 2022/06/28 04:02:26 - mmengine - INFO - Epoch(train) [37][2960/3757] lr: 1.000e-02 eta: 17:30:12 time: 0.230 data_time: 0.007 memory: 5148 grad_norm: 4.9009 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8476 loss: 1.8476 2022/06/28 04:02:32 - mmengine - INFO - Epoch(train) [37][2980/3757] lr: 1.000e-02 eta: 17:30:08 time: 0.198 data_time: 0.017 memory: 5148 grad_norm: 5.0944 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9330 loss: 1.9330 2022/06/28 04:02:37 - mmengine - INFO - Epoch(train) [37][3000/3757] lr: 1.000e-02 eta: 17:30:03 time: 0.231 data_time: 0.007 memory: 5148 grad_norm: 6.4195 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3300 loss: 2.3300 2022/06/28 04:02:43 - mmengine - INFO - Epoch(train) [37][3020/3757] lr: 1.000e-02 eta: 17:29:57 time: 0.220 data_time: 0.007 memory: 5148 grad_norm: 5.1061 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0925 loss: 2.0925 2022/06/28 04:02:48 - mmengine - INFO - Epoch(train) [37][3040/3757] lr: 1.000e-02 eta: 17:29:52 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.0059 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8380 loss: 1.8380 2022/06/28 04:02:53 - mmengine - INFO - Epoch(train) [37][3060/3757] lr: 1.000e-02 eta: 17:29:47 time: 0.369 data_time: 0.007 memory: 5148 grad_norm: 6.4062 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8569 loss: 1.8569 2022/06/28 04:02:59 - mmengine - INFO - Epoch(train) [37][3080/3757] lr: 1.000e-02 eta: 17:29:42 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 4.8292 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0331 loss: 2.0331 2022/06/28 04:03:04 - mmengine - INFO - Epoch(train) [37][3100/3757] lr: 1.000e-02 eta: 17:29:36 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.9270 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0712 loss: 2.0712 2022/06/28 04:03:10 - mmengine - INFO - Epoch(train) [37][3120/3757] lr: 1.000e-02 eta: 17:29:31 time: 0.763 data_time: 0.007 memory: 5148 grad_norm: 5.2150 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1634 loss: 2.1634 2022/06/28 04:03:14 - mmengine - INFO - Epoch(train) [37][3140/3757] lr: 1.000e-02 eta: 17:29:25 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.3513 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1671 loss: 2.1671 2022/06/28 04:03:20 - mmengine - INFO - Epoch(train) [37][3160/3757] lr: 1.000e-02 eta: 17:29:21 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 6.0835 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0396 loss: 2.0396 2022/06/28 04:03:26 - mmengine - INFO - Epoch(train) [37][3180/3757] lr: 1.000e-02 eta: 17:29:16 time: 0.213 data_time: 0.009 memory: 5148 grad_norm: 5.9947 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9502 loss: 1.9502 2022/06/28 04:03:30 - mmengine - INFO - Epoch(train) [37][3200/3757] lr: 1.000e-02 eta: 17:29:09 time: 0.399 data_time: 0.007 memory: 5148 grad_norm: 5.8805 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2351 loss: 2.2351 2022/06/28 04:03:36 - mmengine - INFO - Epoch(train) [37][3220/3757] lr: 1.000e-02 eta: 17:29:05 time: 0.460 data_time: 0.007 memory: 5148 grad_norm: 5.7706 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0352 loss: 2.0352 2022/06/28 04:03:41 - mmengine - INFO - Epoch(train) [37][3240/3757] lr: 1.000e-02 eta: 17:29:00 time: 0.654 data_time: 0.007 memory: 5148 grad_norm: 5.4114 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0842 loss: 2.0842 2022/06/28 04:03:47 - mmengine - INFO - Epoch(train) [37][3260/3757] lr: 1.000e-02 eta: 17:28:54 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.6061 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0708 loss: 2.0708 2022/06/28 04:03:53 - mmengine - INFO - Epoch(train) [37][3280/3757] lr: 1.000e-02 eta: 17:28:50 time: 0.245 data_time: 0.010 memory: 5148 grad_norm: 6.0755 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1996 loss: 2.1996 2022/06/28 04:03:58 - mmengine - INFO - Epoch(train) [37][3300/3757] lr: 1.000e-02 eta: 17:28:44 time: 0.238 data_time: 0.010 memory: 5148 grad_norm: 5.1072 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8207 loss: 1.8207 2022/06/28 04:04:03 - mmengine - INFO - Epoch(train) [37][3320/3757] lr: 1.000e-02 eta: 17:28:38 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.5706 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8197 loss: 1.8197 2022/06/28 04:04:09 - mmengine - INFO - Epoch(train) [37][3340/3757] lr: 1.000e-02 eta: 17:28:34 time: 0.204 data_time: 0.015 memory: 5148 grad_norm: 5.6274 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0455 loss: 2.0455 2022/06/28 04:04:14 - mmengine - INFO - Epoch(train) [37][3360/3757] lr: 1.000e-02 eta: 17:28:29 time: 0.216 data_time: 0.011 memory: 5148 grad_norm: 5.5842 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3575 loss: 2.3575 2022/06/28 04:04:19 - mmengine - INFO - Epoch(train) [37][3380/3757] lr: 1.000e-02 eta: 17:28:23 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 6.4219 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1961 loss: 2.1961 2022/06/28 04:04:25 - mmengine - INFO - Epoch(train) [37][3400/3757] lr: 1.000e-02 eta: 17:28:18 time: 0.287 data_time: 0.011 memory: 5148 grad_norm: 5.8785 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3298 loss: 2.3298 2022/06/28 04:04:30 - mmengine - INFO - Epoch(train) [37][3420/3757] lr: 1.000e-02 eta: 17:28:13 time: 0.214 data_time: 0.013 memory: 5148 grad_norm: 5.3108 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2355 loss: 2.2355 2022/06/28 04:04:35 - mmengine - INFO - Epoch(train) [37][3440/3757] lr: 1.000e-02 eta: 17:28:07 time: 0.210 data_time: 0.010 memory: 5148 grad_norm: 5.8081 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2355 loss: 2.2355 2022/06/28 04:04:41 - mmengine - INFO - Epoch(train) [37][3460/3757] lr: 1.000e-02 eta: 17:28:04 time: 1.710 data_time: 0.006 memory: 5148 grad_norm: 5.4769 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9297 loss: 1.9297 2022/06/28 04:04:46 - mmengine - INFO - Epoch(train) [37][3480/3757] lr: 1.000e-02 eta: 17:27:57 time: 0.191 data_time: 0.010 memory: 5148 grad_norm: 6.1303 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9272 loss: 1.9272 2022/06/28 04:04:51 - mmengine - INFO - Epoch(train) [37][3500/3757] lr: 1.000e-02 eta: 17:27:51 time: 0.202 data_time: 0.019 memory: 5148 grad_norm: 5.8807 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7841 loss: 1.7841 2022/06/28 04:04:56 - mmengine - INFO - Epoch(train) [37][3520/3757] lr: 1.000e-02 eta: 17:27:46 time: 0.373 data_time: 0.013 memory: 5148 grad_norm: 5.8715 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5513 loss: 2.5513 2022/06/28 04:05:01 - mmengine - INFO - Epoch(train) [37][3540/3757] lr: 1.000e-02 eta: 17:27:40 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 6.4199 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8710 loss: 1.8710 2022/06/28 04:05:07 - mmengine - INFO - Epoch(train) [37][3560/3757] lr: 1.000e-02 eta: 17:27:35 time: 0.198 data_time: 0.016 memory: 5148 grad_norm: 6.8744 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0668 loss: 2.0668 2022/06/28 04:05:12 - mmengine - INFO - Epoch(train) [37][3580/3757] lr: 1.000e-02 eta: 17:27:30 time: 1.255 data_time: 0.031 memory: 5148 grad_norm: 6.6991 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8194 loss: 1.8194 2022/06/28 04:05:17 - mmengine - INFO - Epoch(train) [37][3600/3757] lr: 1.000e-02 eta: 17:27:24 time: 0.205 data_time: 0.012 memory: 5148 grad_norm: 5.7405 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.8783 loss: 1.8783 2022/06/28 04:05:23 - mmengine - INFO - Epoch(train) [37][3620/3757] lr: 1.000e-02 eta: 17:27:19 time: 0.268 data_time: 0.015 memory: 5148 grad_norm: 5.9212 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8385 loss: 1.8385 2022/06/28 04:05:28 - mmengine - INFO - Epoch(train) [37][3640/3757] lr: 1.000e-02 eta: 17:27:14 time: 1.036 data_time: 0.013 memory: 5148 grad_norm: 5.5472 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1164 loss: 2.1164 2022/06/28 04:05:33 - mmengine - INFO - Epoch(train) [37][3660/3757] lr: 1.000e-02 eta: 17:27:08 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.9018 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8809 loss: 1.8809 2022/06/28 04:05:39 - mmengine - INFO - Epoch(train) [37][3680/3757] lr: 1.000e-02 eta: 17:27:03 time: 0.194 data_time: 0.017 memory: 5148 grad_norm: 6.3777 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9017 loss: 1.9017 2022/06/28 04:05:44 - mmengine - INFO - Epoch(train) [37][3700/3757] lr: 1.000e-02 eta: 17:26:58 time: 0.855 data_time: 0.010 memory: 5148 grad_norm: 5.6111 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0545 loss: 2.0545 2022/06/28 04:05:49 - mmengine - INFO - Epoch(train) [37][3720/3757] lr: 1.000e-02 eta: 17:26:52 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 6.4074 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4608 loss: 2.4608 2022/06/28 04:05:55 - mmengine - INFO - Epoch(train) [37][3740/3757] lr: 1.000e-02 eta: 17:26:47 time: 0.192 data_time: 0.009 memory: 5148 grad_norm: 5.8926 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8882 loss: 1.8882 2022/06/28 04:05:56 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 04:05:58 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 04:06:05 - mmengine - INFO - Epoch(val) [37][20/310] eta: 0:01:09 time: 0.188 data_time: 0.110 memory: 5148 2022/06/28 04:06:09 - mmengine - INFO - Epoch(val) [37][40/310] eta: 0:01:01 time: 0.082 data_time: 0.009 memory: 1367 2022/06/28 04:06:15 - mmengine - INFO - Epoch(val) [37][60/310] eta: 0:00:55 time: 0.075 data_time: 0.005 memory: 1367 2022/06/28 04:06:20 - mmengine - INFO - Epoch(val) [37][80/310] eta: 0:01:01 time: 0.255 data_time: 0.183 memory: 1367 2022/06/28 04:06:26 - mmengine - INFO - Epoch(val) [37][100/310] eta: 0:00:49 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 04:06:31 - mmengine - INFO - Epoch(val) [37][120/310] eta: 0:00:49 time: 0.405 data_time: 0.329 memory: 1367 2022/06/28 04:06:37 - mmengine - INFO - Epoch(val) [37][140/310] eta: 0:00:48 time: 0.575 data_time: 0.486 memory: 1367 2022/06/28 04:06:41 - mmengine - INFO - Epoch(val) [37][160/310] eta: 0:00:33 time: 0.178 data_time: 0.097 memory: 1367 2022/06/28 04:06:47 - mmengine - INFO - Epoch(val) [37][180/310] eta: 0:00:43 time: 1.103 data_time: 1.026 memory: 1367 2022/06/28 04:06:52 - mmengine - INFO - Epoch(val) [37][200/310] eta: 0:00:24 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 04:06:58 - mmengine - INFO - Epoch(val) [37][220/310] eta: 0:00:31 time: 0.505 data_time: 0.431 memory: 1367 2022/06/28 04:07:02 - mmengine - INFO - Epoch(val) [37][240/310] eta: 0:00:15 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 04:07:08 - mmengine - INFO - Epoch(val) [37][260/310] eta: 0:00:18 time: 0.192 data_time: 0.116 memory: 1367 2022/06/28 04:07:13 - mmengine - INFO - Epoch(val) [37][280/310] eta: 0:00:06 time: 0.078 data_time: 0.006 memory: 1367 2022/06/28 04:07:19 - mmengine - INFO - Epoch(val) [37][300/310] eta: 0:00:03 time: 0.081 data_time: 0.005 memory: 1367 2022/06/28 04:07:22 - mmengine - INFO - Epoch(val) [37][310/310] acc/top1: 0.5612 acc/top5: 0.7972 acc/mean1: 0.5610 2022/06/28 04:07:30 - mmengine - INFO - Epoch(train) [38][20/3757] lr: 1.000e-02 eta: 17:26:38 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 5.5699 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0790 loss: 2.0790 2022/06/28 04:07:36 - mmengine - INFO - Epoch(train) [38][40/3757] lr: 1.000e-02 eta: 17:26:34 time: 0.222 data_time: 0.006 memory: 5148 grad_norm: 5.5391 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8042 loss: 1.8042 2022/06/28 04:07:40 - mmengine - INFO - Epoch(train) [38][60/3757] lr: 1.000e-02 eta: 17:26:27 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.6569 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3071 loss: 2.3071 2022/06/28 04:07:47 - mmengine - INFO - Epoch(train) [38][80/3757] lr: 1.000e-02 eta: 17:26:23 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 6.3446 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4015 loss: 2.4015 2022/06/28 04:07:52 - mmengine - INFO - Epoch(train) [38][100/3757] lr: 1.000e-02 eta: 17:26:18 time: 0.195 data_time: 0.006 memory: 5148 grad_norm: 5.4969 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1199 loss: 2.1199 2022/06/28 04:07:57 - mmengine - INFO - Epoch(train) [38][120/3757] lr: 1.000e-02 eta: 17:26:12 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 5.5935 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8979 loss: 1.8979 2022/06/28 04:08:02 - mmengine - INFO - Epoch(train) [38][140/3757] lr: 1.000e-02 eta: 17:26:07 time: 0.192 data_time: 0.008 memory: 5148 grad_norm: 5.9853 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8830 loss: 1.8830 2022/06/28 04:08:08 - mmengine - INFO - Epoch(train) [38][160/3757] lr: 1.000e-02 eta: 17:26:02 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.4913 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9559 loss: 1.9559 2022/06/28 04:08:13 - mmengine - INFO - Epoch(train) [38][180/3757] lr: 1.000e-02 eta: 17:25:56 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.0755 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2483 loss: 2.2483 2022/06/28 04:08:18 - mmengine - INFO - Epoch(train) [38][200/3757] lr: 1.000e-02 eta: 17:25:51 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.3443 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8944 loss: 1.8944 2022/06/28 04:08:24 - mmengine - INFO - Epoch(train) [38][220/3757] lr: 1.000e-02 eta: 17:25:46 time: 0.195 data_time: 0.009 memory: 5148 grad_norm: 5.5403 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9053 loss: 1.9053 2022/06/28 04:08:29 - mmengine - INFO - Epoch(train) [38][240/3757] lr: 1.000e-02 eta: 17:25:40 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.7081 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.8648 loss: 1.8648 2022/06/28 04:08:35 - mmengine - INFO - Epoch(train) [38][260/3757] lr: 1.000e-02 eta: 17:25:36 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 6.0085 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3999 loss: 2.3999 2022/06/28 04:08:40 - mmengine - INFO - Epoch(train) [38][280/3757] lr: 1.000e-02 eta: 17:25:31 time: 0.197 data_time: 0.016 memory: 5148 grad_norm: 6.2439 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7657 loss: 1.7657 2022/06/28 04:08:45 - mmengine - INFO - Epoch(train) [38][300/3757] lr: 1.000e-02 eta: 17:25:25 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.7117 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0290 loss: 2.0290 2022/06/28 04:08:51 - mmengine - INFO - Epoch(train) [38][320/3757] lr: 1.000e-02 eta: 17:25:20 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.1937 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0261 loss: 2.0261 2022/06/28 04:08:56 - mmengine - INFO - Epoch(train) [38][340/3757] lr: 1.000e-02 eta: 17:25:15 time: 0.221 data_time: 0.040 memory: 5148 grad_norm: 5.6821 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2148 loss: 2.2148 2022/06/28 04:09:01 - mmengine - INFO - Epoch(train) [38][360/3757] lr: 1.000e-02 eta: 17:25:08 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 6.0426 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0374 loss: 2.0374 2022/06/28 04:09:07 - mmengine - INFO - Epoch(train) [38][380/3757] lr: 1.000e-02 eta: 17:25:04 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 6.1022 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1795 loss: 2.1795 2022/06/28 04:09:12 - mmengine - INFO - Epoch(train) [38][400/3757] lr: 1.000e-02 eta: 17:24:59 time: 0.214 data_time: 0.016 memory: 5148 grad_norm: 5.7106 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1435 loss: 2.1435 2022/06/28 04:09:17 - mmengine - INFO - Epoch(train) [38][420/3757] lr: 1.000e-02 eta: 17:24:53 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.5423 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7109 loss: 1.7109 2022/06/28 04:09:23 - mmengine - INFO - Epoch(train) [38][440/3757] lr: 1.000e-02 eta: 17:24:48 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 6.1102 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8826 loss: 1.8826 2022/06/28 04:09:28 - mmengine - INFO - Epoch(train) [38][460/3757] lr: 1.000e-02 eta: 17:24:43 time: 0.202 data_time: 0.016 memory: 5148 grad_norm: 5.5031 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9823 loss: 1.9823 2022/06/28 04:09:33 - mmengine - INFO - Epoch(train) [38][480/3757] lr: 1.000e-02 eta: 17:24:37 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.2724 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2521 loss: 2.2521 2022/06/28 04:09:39 - mmengine - INFO - Epoch(train) [38][500/3757] lr: 1.000e-02 eta: 17:24:33 time: 0.229 data_time: 0.008 memory: 5148 grad_norm: 5.6065 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9340 loss: 1.9340 2022/06/28 04:09:44 - mmengine - INFO - Epoch(train) [38][520/3757] lr: 1.000e-02 eta: 17:24:27 time: 0.213 data_time: 0.020 memory: 5148 grad_norm: 5.8804 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8764 loss: 1.8764 2022/06/28 04:09:49 - mmengine - INFO - Epoch(train) [38][540/3757] lr: 1.000e-02 eta: 17:24:21 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.7111 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7016 loss: 1.7016 2022/06/28 04:09:55 - mmengine - INFO - Epoch(train) [38][560/3757] lr: 1.000e-02 eta: 17:24:17 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 6.4101 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8564 loss: 1.8564 2022/06/28 04:10:00 - mmengine - INFO - Epoch(train) [38][580/3757] lr: 1.000e-02 eta: 17:24:11 time: 0.202 data_time: 0.013 memory: 5148 grad_norm: 6.7865 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0250 loss: 2.0250 2022/06/28 04:10:05 - mmengine - INFO - Epoch(train) [38][600/3757] lr: 1.000e-02 eta: 17:24:06 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.2408 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7068 loss: 1.7068 2022/06/28 04:10:11 - mmengine - INFO - Epoch(train) [38][620/3757] lr: 1.000e-02 eta: 17:24:01 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 6.1662 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8722 loss: 1.8722 2022/06/28 04:10:16 - mmengine - INFO - Epoch(train) [38][640/3757] lr: 1.000e-02 eta: 17:23:56 time: 0.206 data_time: 0.013 memory: 5148 grad_norm: 5.8529 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0431 loss: 2.0431 2022/06/28 04:10:21 - mmengine - INFO - Epoch(train) [38][660/3757] lr: 1.000e-02 eta: 17:23:50 time: 0.195 data_time: 0.006 memory: 5148 grad_norm: 5.9134 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.7027 loss: 1.7027 2022/06/28 04:10:27 - mmengine - INFO - Epoch(train) [38][680/3757] lr: 1.000e-02 eta: 17:23:45 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.5462 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5818 loss: 2.5818 2022/06/28 04:10:32 - mmengine - INFO - Epoch(train) [38][700/3757] lr: 1.000e-02 eta: 17:23:40 time: 0.532 data_time: 0.010 memory: 5148 grad_norm: 5.2077 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9906 loss: 1.9906 2022/06/28 04:10:38 - mmengine - INFO - Epoch(train) [38][720/3757] lr: 1.000e-02 eta: 17:23:35 time: 0.196 data_time: 0.006 memory: 5148 grad_norm: 5.7535 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6703 loss: 1.6703 2022/06/28 04:10:43 - mmengine - INFO - Epoch(train) [38][740/3757] lr: 1.000e-02 eta: 17:23:29 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.9723 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7847 loss: 1.7847 2022/06/28 04:10:48 - mmengine - INFO - Epoch(train) [38][760/3757] lr: 1.000e-02 eta: 17:23:25 time: 0.290 data_time: 0.007 memory: 5148 grad_norm: 6.0294 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1372 loss: 2.1372 2022/06/28 04:10:54 - mmengine - INFO - Epoch(train) [38][780/3757] lr: 1.000e-02 eta: 17:23:20 time: 0.227 data_time: 0.006 memory: 5148 grad_norm: 5.3219 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9430 loss: 1.9430 2022/06/28 04:10:59 - mmengine - INFO - Epoch(train) [38][800/3757] lr: 1.000e-02 eta: 17:23:14 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 4.6639 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7311 loss: 1.7311 2022/06/28 04:11:05 - mmengine - INFO - Epoch(train) [38][820/3757] lr: 1.000e-02 eta: 17:23:09 time: 0.420 data_time: 0.014 memory: 5148 grad_norm: 5.2249 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2972 loss: 2.2972 2022/06/28 04:11:10 - mmengine - INFO - Epoch(train) [38][840/3757] lr: 1.000e-02 eta: 17:23:04 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 5.3660 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9102 loss: 1.9102 2022/06/28 04:11:15 - mmengine - INFO - Epoch(train) [38][860/3757] lr: 1.000e-02 eta: 17:22:58 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 6.0975 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8085 loss: 1.8085 2022/06/28 04:11:21 - mmengine - INFO - Epoch(train) [38][880/3757] lr: 1.000e-02 eta: 17:22:53 time: 0.800 data_time: 0.012 memory: 5148 grad_norm: 5.8168 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0206 loss: 2.0206 2022/06/28 04:11:26 - mmengine - INFO - Epoch(train) [38][900/3757] lr: 1.000e-02 eta: 17:22:48 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 6.3618 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7328 loss: 1.7328 2022/06/28 04:11:31 - mmengine - INFO - Epoch(train) [38][920/3757] lr: 1.000e-02 eta: 17:22:43 time: 0.220 data_time: 0.006 memory: 5148 grad_norm: 6.0313 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.2139 loss: 2.2139 2022/06/28 04:11:37 - mmengine - INFO - Epoch(train) [38][940/3757] lr: 1.000e-02 eta: 17:22:38 time: 0.662 data_time: 0.010 memory: 5148 grad_norm: 6.5460 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.2189 loss: 2.2189 2022/06/28 04:11:42 - mmengine - INFO - Epoch(train) [38][960/3757] lr: 1.000e-02 eta: 17:22:32 time: 0.199 data_time: 0.018 memory: 5148 grad_norm: 6.0544 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8077 loss: 1.8077 2022/06/28 04:11:48 - mmengine - INFO - Epoch(train) [38][980/3757] lr: 1.000e-02 eta: 17:22:27 time: 0.219 data_time: 0.007 memory: 5148 grad_norm: 6.0187 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0400 loss: 2.0400 2022/06/28 04:11:50 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 04:11:52 - mmengine - INFO - Epoch(train) [38][1000/3757] lr: 1.000e-02 eta: 17:22:20 time: 0.471 data_time: 0.010 memory: 5148 grad_norm: 5.8676 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3682 loss: 2.3682 2022/06/28 04:11:57 - mmengine - INFO - Epoch(train) [38][1020/3757] lr: 1.000e-02 eta: 17:22:15 time: 0.206 data_time: 0.012 memory: 5148 grad_norm: 5.8035 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1080 loss: 2.1080 2022/06/28 04:12:03 - mmengine - INFO - Epoch(train) [38][1040/3757] lr: 1.000e-02 eta: 17:22:10 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.2211 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1365 loss: 2.1365 2022/06/28 04:12:08 - mmengine - INFO - Epoch(train) [38][1060/3757] lr: 1.000e-02 eta: 17:22:05 time: 1.078 data_time: 0.016 memory: 5148 grad_norm: 5.8071 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0538 loss: 2.0538 2022/06/28 04:12:13 - mmengine - INFO - Epoch(train) [38][1080/3757] lr: 1.000e-02 eta: 17:21:59 time: 0.196 data_time: 0.016 memory: 5148 grad_norm: 5.8608 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2450 loss: 2.2450 2022/06/28 04:12:19 - mmengine - INFO - Epoch(train) [38][1100/3757] lr: 1.000e-02 eta: 17:21:54 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.7106 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8265 loss: 1.8265 2022/06/28 04:12:25 - mmengine - INFO - Epoch(train) [38][1120/3757] lr: 1.000e-02 eta: 17:21:50 time: 1.284 data_time: 0.007 memory: 5148 grad_norm: 5.0874 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.0407 loss: 2.0407 2022/06/28 04:12:30 - mmengine - INFO - Epoch(train) [38][1140/3757] lr: 1.000e-02 eta: 17:21:44 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 5.9567 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2313 loss: 2.2313 2022/06/28 04:12:35 - mmengine - INFO - Epoch(train) [38][1160/3757] lr: 1.000e-02 eta: 17:21:39 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 5.3225 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7972 loss: 1.7972 2022/06/28 04:12:40 - mmengine - INFO - Epoch(train) [38][1180/3757] lr: 1.000e-02 eta: 17:21:34 time: 0.766 data_time: 0.007 memory: 5148 grad_norm: 5.8876 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8339 loss: 1.8339 2022/06/28 04:12:46 - mmengine - INFO - Epoch(train) [38][1200/3757] lr: 1.000e-02 eta: 17:21:29 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 5.3476 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0244 loss: 2.0244 2022/06/28 04:12:51 - mmengine - INFO - Epoch(train) [38][1220/3757] lr: 1.000e-02 eta: 17:21:23 time: 0.199 data_time: 0.014 memory: 5148 grad_norm: 5.4812 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2062 loss: 2.2062 2022/06/28 04:12:57 - mmengine - INFO - Epoch(train) [38][1240/3757] lr: 1.000e-02 eta: 17:21:18 time: 0.513 data_time: 0.010 memory: 5148 grad_norm: 5.0292 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7443 loss: 1.7443 2022/06/28 04:13:02 - mmengine - INFO - Epoch(train) [38][1260/3757] lr: 1.000e-02 eta: 17:21:12 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 6.1182 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7995 loss: 1.7995 2022/06/28 04:13:07 - mmengine - INFO - Epoch(train) [38][1280/3757] lr: 1.000e-02 eta: 17:21:08 time: 0.204 data_time: 0.014 memory: 5148 grad_norm: 5.7580 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.0185 loss: 2.0185 2022/06/28 04:13:12 - mmengine - INFO - Epoch(train) [38][1300/3757] lr: 1.000e-02 eta: 17:21:02 time: 0.259 data_time: 0.010 memory: 5148 grad_norm: 6.2552 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9148 loss: 1.9148 2022/06/28 04:13:17 - mmengine - INFO - Epoch(train) [38][1320/3757] lr: 1.000e-02 eta: 17:20:56 time: 0.196 data_time: 0.012 memory: 5148 grad_norm: 6.2790 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9351 loss: 1.9351 2022/06/28 04:13:23 - mmengine - INFO - Epoch(train) [38][1340/3757] lr: 1.000e-02 eta: 17:20:51 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 6.0087 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0814 loss: 2.0814 2022/06/28 04:13:28 - mmengine - INFO - Epoch(train) [38][1360/3757] lr: 1.000e-02 eta: 17:20:46 time: 0.232 data_time: 0.021 memory: 5148 grad_norm: 5.5373 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0503 loss: 2.0503 2022/06/28 04:13:33 - mmengine - INFO - Epoch(train) [38][1380/3757] lr: 1.000e-02 eta: 17:20:40 time: 0.201 data_time: 0.021 memory: 5148 grad_norm: 5.5155 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1532 loss: 2.1532 2022/06/28 04:13:39 - mmengine - INFO - Epoch(train) [38][1400/3757] lr: 1.000e-02 eta: 17:20:35 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 5.7356 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0070 loss: 2.0070 2022/06/28 04:13:45 - mmengine - INFO - Epoch(train) [38][1420/3757] lr: 1.000e-02 eta: 17:20:31 time: 0.218 data_time: 0.012 memory: 5148 grad_norm: 5.5509 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8716 loss: 1.8716 2022/06/28 04:13:49 - mmengine - INFO - Epoch(train) [38][1440/3757] lr: 1.000e-02 eta: 17:20:24 time: 0.200 data_time: 0.013 memory: 5148 grad_norm: 5.4694 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9675 loss: 1.9675 2022/06/28 04:13:55 - mmengine - INFO - Epoch(train) [38][1460/3757] lr: 1.000e-02 eta: 17:20:19 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 5.8669 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8256 loss: 1.8256 2022/06/28 04:14:00 - mmengine - INFO - Epoch(train) [38][1480/3757] lr: 1.000e-02 eta: 17:20:15 time: 1.258 data_time: 0.007 memory: 5148 grad_norm: 6.2955 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0407 loss: 2.0407 2022/06/28 04:14:05 - mmengine - INFO - Epoch(train) [38][1500/3757] lr: 1.000e-02 eta: 17:20:09 time: 0.209 data_time: 0.020 memory: 5148 grad_norm: 5.9376 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8932 loss: 1.8932 2022/06/28 04:14:11 - mmengine - INFO - Epoch(train) [38][1520/3757] lr: 1.000e-02 eta: 17:20:03 time: 0.196 data_time: 0.014 memory: 5148 grad_norm: 5.3443 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0463 loss: 2.0463 2022/06/28 04:14:17 - mmengine - INFO - Epoch(train) [38][1540/3757] lr: 1.000e-02 eta: 17:19:59 time: 0.747 data_time: 0.007 memory: 5148 grad_norm: 5.2959 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0732 loss: 2.0732 2022/06/28 04:14:21 - mmengine - INFO - Epoch(train) [38][1560/3757] lr: 1.000e-02 eta: 17:19:53 time: 0.206 data_time: 0.025 memory: 5148 grad_norm: 6.5509 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7762 loss: 1.7762 2022/06/28 04:14:27 - mmengine - INFO - Epoch(train) [38][1580/3757] lr: 1.000e-02 eta: 17:19:48 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.0888 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8499 loss: 1.8499 2022/06/28 04:14:32 - mmengine - INFO - Epoch(train) [38][1600/3757] lr: 1.000e-02 eta: 17:19:42 time: 0.611 data_time: 0.007 memory: 5148 grad_norm: 5.6895 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0264 loss: 2.0264 2022/06/28 04:14:37 - mmengine - INFO - Epoch(train) [38][1620/3757] lr: 1.000e-02 eta: 17:19:36 time: 0.200 data_time: 0.025 memory: 5148 grad_norm: 5.2765 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7706 loss: 1.7706 2022/06/28 04:14:42 - mmengine - INFO - Epoch(train) [38][1640/3757] lr: 1.000e-02 eta: 17:19:30 time: 0.193 data_time: 0.011 memory: 5148 grad_norm: 5.6956 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2832 loss: 2.2832 2022/06/28 04:14:48 - mmengine - INFO - Epoch(train) [38][1660/3757] lr: 1.000e-02 eta: 17:19:26 time: 1.044 data_time: 0.012 memory: 5148 grad_norm: 5.8029 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0412 loss: 2.0412 2022/06/28 04:14:53 - mmengine - INFO - Epoch(train) [38][1680/3757] lr: 1.000e-02 eta: 17:19:20 time: 0.201 data_time: 0.018 memory: 5148 grad_norm: 5.6061 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0595 loss: 2.0595 2022/06/28 04:14:58 - mmengine - INFO - Epoch(train) [38][1700/3757] lr: 1.000e-02 eta: 17:19:15 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 5.2396 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4857 loss: 1.4857 2022/06/28 04:15:03 - mmengine - INFO - Epoch(train) [38][1720/3757] lr: 1.000e-02 eta: 17:19:09 time: 0.231 data_time: 0.007 memory: 5148 grad_norm: 5.7108 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7441 loss: 1.7441 2022/06/28 04:15:09 - mmengine - INFO - Epoch(train) [38][1740/3757] lr: 1.000e-02 eta: 17:19:04 time: 0.204 data_time: 0.021 memory: 5148 grad_norm: 5.6198 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1574 loss: 2.1574 2022/06/28 04:15:14 - mmengine - INFO - Epoch(train) [38][1760/3757] lr: 1.000e-02 eta: 17:18:59 time: 0.207 data_time: 0.011 memory: 5148 grad_norm: 6.0251 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7325 loss: 1.7325 2022/06/28 04:15:20 - mmengine - INFO - Epoch(train) [38][1780/3757] lr: 1.000e-02 eta: 17:18:54 time: 0.314 data_time: 0.007 memory: 5148 grad_norm: 5.2910 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0133 loss: 2.0133 2022/06/28 04:15:25 - mmengine - INFO - Epoch(train) [38][1800/3757] lr: 1.000e-02 eta: 17:18:48 time: 0.203 data_time: 0.026 memory: 5148 grad_norm: 5.7298 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9634 loss: 1.9634 2022/06/28 04:15:30 - mmengine - INFO - Epoch(train) [38][1820/3757] lr: 1.000e-02 eta: 17:18:43 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 5.8521 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1400 loss: 2.1400 2022/06/28 04:15:36 - mmengine - INFO - Epoch(train) [38][1840/3757] lr: 1.000e-02 eta: 17:18:38 time: 0.437 data_time: 0.007 memory: 5148 grad_norm: 5.2665 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8946 loss: 1.8946 2022/06/28 04:15:41 - mmengine - INFO - Epoch(train) [38][1860/3757] lr: 1.000e-02 eta: 17:18:33 time: 0.200 data_time: 0.020 memory: 5148 grad_norm: 5.4936 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8076 loss: 1.8076 2022/06/28 04:15:46 - mmengine - INFO - Epoch(train) [38][1880/3757] lr: 1.000e-02 eta: 17:18:28 time: 0.333 data_time: 0.009 memory: 5148 grad_norm: 5.2010 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9066 loss: 1.9066 2022/06/28 04:15:52 - mmengine - INFO - Epoch(train) [38][1900/3757] lr: 1.000e-02 eta: 17:18:23 time: 0.201 data_time: 0.013 memory: 5148 grad_norm: 4.7784 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0023 loss: 2.0023 2022/06/28 04:15:57 - mmengine - INFO - Epoch(train) [38][1920/3757] lr: 1.000e-02 eta: 17:18:18 time: 0.215 data_time: 0.030 memory: 5148 grad_norm: 5.8592 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0677 loss: 2.0677 2022/06/28 04:16:03 - mmengine - INFO - Epoch(train) [38][1940/3757] lr: 1.000e-02 eta: 17:18:13 time: 0.202 data_time: 0.018 memory: 5148 grad_norm: 5.5463 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2035 loss: 2.2035 2022/06/28 04:16:09 - mmengine - INFO - Epoch(train) [38][1960/3757] lr: 1.000e-02 eta: 17:18:08 time: 0.230 data_time: 0.049 memory: 5148 grad_norm: 5.4494 top1_acc: 0.0000 top5_acc: 0.8750 loss_cls: 2.2528 loss: 2.2528 2022/06/28 04:16:14 - mmengine - INFO - Epoch(train) [38][1980/3757] lr: 1.000e-02 eta: 17:18:03 time: 0.241 data_time: 0.040 memory: 5148 grad_norm: 5.3306 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7232 loss: 1.7232 2022/06/28 04:16:17 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 04:16:19 - mmengine - INFO - Epoch(train) [38][2000/3757] lr: 1.000e-02 eta: 17:17:57 time: 0.211 data_time: 0.010 memory: 5148 grad_norm: 5.6350 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6466 loss: 1.6466 2022/06/28 04:16:24 - mmengine - INFO - Epoch(train) [38][2020/3757] lr: 1.000e-02 eta: 17:17:52 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 6.2845 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1567 loss: 2.1567 2022/06/28 04:16:29 - mmengine - INFO - Epoch(train) [38][2040/3757] lr: 1.000e-02 eta: 17:17:46 time: 0.205 data_time: 0.021 memory: 5148 grad_norm: 5.5930 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8614 loss: 1.8614 2022/06/28 04:16:35 - mmengine - INFO - Epoch(train) [38][2060/3757] lr: 1.000e-02 eta: 17:17:41 time: 0.204 data_time: 0.009 memory: 5148 grad_norm: 5.8992 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2344 loss: 2.2344 2022/06/28 04:16:40 - mmengine - INFO - Epoch(train) [38][2080/3757] lr: 1.000e-02 eta: 17:17:36 time: 0.196 data_time: 0.012 memory: 5148 grad_norm: 6.1982 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9497 loss: 1.9497 2022/06/28 04:16:46 - mmengine - INFO - Epoch(train) [38][2100/3757] lr: 1.000e-02 eta: 17:17:31 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 5.7784 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2021 loss: 2.2021 2022/06/28 04:16:51 - mmengine - INFO - Epoch(train) [38][2120/3757] lr: 1.000e-02 eta: 17:17:26 time: 0.202 data_time: 0.009 memory: 5148 grad_norm: 5.0042 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7591 loss: 1.7591 2022/06/28 04:16:56 - mmengine - INFO - Epoch(train) [38][2140/3757] lr: 1.000e-02 eta: 17:17:20 time: 0.193 data_time: 0.012 memory: 5148 grad_norm: 5.3960 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7189 loss: 1.7189 2022/06/28 04:17:02 - mmengine - INFO - Epoch(train) [38][2160/3757] lr: 1.000e-02 eta: 17:17:15 time: 0.205 data_time: 0.014 memory: 5148 grad_norm: 6.0745 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8473 loss: 1.8473 2022/06/28 04:17:07 - mmengine - INFO - Epoch(train) [38][2180/3757] lr: 1.000e-02 eta: 17:17:10 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.8307 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0473 loss: 2.0473 2022/06/28 04:17:12 - mmengine - INFO - Epoch(train) [38][2200/3757] lr: 1.000e-02 eta: 17:17:04 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 5.8545 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9981 loss: 1.9981 2022/06/28 04:17:17 - mmengine - INFO - Epoch(train) [38][2220/3757] lr: 1.000e-02 eta: 17:16:59 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 5.4344 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7137 loss: 1.7137 2022/06/28 04:17:22 - mmengine - INFO - Epoch(train) [38][2240/3757] lr: 1.000e-02 eta: 17:16:52 time: 0.210 data_time: 0.015 memory: 5148 grad_norm: 5.7387 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8384 loss: 1.8384 2022/06/28 04:17:27 - mmengine - INFO - Epoch(train) [38][2260/3757] lr: 1.000e-02 eta: 17:16:47 time: 0.194 data_time: 0.011 memory: 5148 grad_norm: 6.0039 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3231 loss: 2.3231 2022/06/28 04:17:32 - mmengine - INFO - Epoch(train) [38][2280/3757] lr: 1.000e-02 eta: 17:16:41 time: 0.199 data_time: 0.012 memory: 5148 grad_norm: 5.4910 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6491 loss: 1.6491 2022/06/28 04:17:38 - mmengine - INFO - Epoch(train) [38][2300/3757] lr: 1.000e-02 eta: 17:16:36 time: 0.204 data_time: 0.014 memory: 5148 grad_norm: 4.8919 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0924 loss: 2.0924 2022/06/28 04:17:43 - mmengine - INFO - Epoch(train) [38][2320/3757] lr: 1.000e-02 eta: 17:16:31 time: 0.201 data_time: 0.022 memory: 5148 grad_norm: 6.0556 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1468 loss: 2.1468 2022/06/28 04:17:49 - mmengine - INFO - Epoch(train) [38][2340/3757] lr: 1.000e-02 eta: 17:16:25 time: 0.204 data_time: 0.021 memory: 5148 grad_norm: 5.6742 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3047 loss: 2.3047 2022/06/28 04:17:54 - mmengine - INFO - Epoch(train) [38][2360/3757] lr: 1.000e-02 eta: 17:16:20 time: 0.204 data_time: 0.015 memory: 5148 grad_norm: 5.2726 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2419 loss: 2.2419 2022/06/28 04:18:00 - mmengine - INFO - Epoch(train) [38][2380/3757] lr: 1.000e-02 eta: 17:16:16 time: 0.208 data_time: 0.023 memory: 5148 grad_norm: 5.2886 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7519 loss: 1.7519 2022/06/28 04:18:06 - mmengine - INFO - Epoch(train) [38][2400/3757] lr: 1.000e-02 eta: 17:16:13 time: 0.213 data_time: 0.036 memory: 5148 grad_norm: 5.5937 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8995 loss: 1.8995 2022/06/28 04:18:11 - mmengine - INFO - Epoch(train) [38][2420/3757] lr: 1.000e-02 eta: 17:16:05 time: 0.223 data_time: 0.010 memory: 5148 grad_norm: 5.3644 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7243 loss: 1.7243 2022/06/28 04:18:16 - mmengine - INFO - Epoch(train) [38][2440/3757] lr: 1.000e-02 eta: 17:16:00 time: 0.205 data_time: 0.019 memory: 5148 grad_norm: 6.0618 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9613 loss: 1.9613 2022/06/28 04:18:21 - mmengine - INFO - Epoch(train) [38][2460/3757] lr: 1.000e-02 eta: 17:15:55 time: 0.201 data_time: 0.018 memory: 5148 grad_norm: 5.6447 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1756 loss: 2.1756 2022/06/28 04:18:27 - mmengine - INFO - Epoch(train) [38][2480/3757] lr: 1.000e-02 eta: 17:15:50 time: 0.618 data_time: 0.007 memory: 5148 grad_norm: 5.6178 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9949 loss: 1.9949 2022/06/28 04:18:32 - mmengine - INFO - Epoch(train) [38][2500/3757] lr: 1.000e-02 eta: 17:15:44 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 6.2145 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1655 loss: 2.1655 2022/06/28 04:18:37 - mmengine - INFO - Epoch(train) [38][2520/3757] lr: 1.000e-02 eta: 17:15:39 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 6.0802 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1914 loss: 2.1914 2022/06/28 04:18:43 - mmengine - INFO - Epoch(train) [38][2540/3757] lr: 1.000e-02 eta: 17:15:35 time: 1.229 data_time: 0.015 memory: 5148 grad_norm: 5.6237 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9391 loss: 1.9391 2022/06/28 04:18:48 - mmengine - INFO - Epoch(train) [38][2560/3757] lr: 1.000e-02 eta: 17:15:28 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 6.4062 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2397 loss: 2.2397 2022/06/28 04:18:53 - mmengine - INFO - Epoch(train) [38][2580/3757] lr: 1.000e-02 eta: 17:15:23 time: 0.205 data_time: 0.012 memory: 5148 grad_norm: 5.8269 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1505 loss: 2.1505 2022/06/28 04:18:59 - mmengine - INFO - Epoch(train) [38][2600/3757] lr: 1.000e-02 eta: 17:15:18 time: 0.654 data_time: 0.011 memory: 5148 grad_norm: 6.1071 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0208 loss: 2.0208 2022/06/28 04:19:04 - mmengine - INFO - Epoch(train) [38][2620/3757] lr: 1.000e-02 eta: 17:15:13 time: 0.193 data_time: 0.008 memory: 5148 grad_norm: 6.0837 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0497 loss: 2.0497 2022/06/28 04:19:10 - mmengine - INFO - Epoch(train) [38][2640/3757] lr: 1.000e-02 eta: 17:15:09 time: 0.202 data_time: 0.017 memory: 5148 grad_norm: 5.5774 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.9083 loss: 1.9083 2022/06/28 04:19:15 - mmengine - INFO - Epoch(train) [38][2660/3757] lr: 1.000e-02 eta: 17:15:04 time: 0.988 data_time: 0.009 memory: 5148 grad_norm: 5.5936 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0918 loss: 2.0918 2022/06/28 04:19:20 - mmengine - INFO - Epoch(train) [38][2680/3757] lr: 1.000e-02 eta: 17:14:57 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.8370 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5043 loss: 2.5043 2022/06/28 04:19:26 - mmengine - INFO - Epoch(train) [38][2700/3757] lr: 1.000e-02 eta: 17:14:52 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.3665 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5707 loss: 1.5707 2022/06/28 04:19:31 - mmengine - INFO - Epoch(train) [38][2720/3757] lr: 1.000e-02 eta: 17:14:48 time: 1.145 data_time: 0.007 memory: 5148 grad_norm: 5.4994 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2426 loss: 2.2426 2022/06/28 04:19:36 - mmengine - INFO - Epoch(train) [38][2740/3757] lr: 1.000e-02 eta: 17:14:42 time: 0.200 data_time: 0.009 memory: 5148 grad_norm: 5.7273 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7905 loss: 1.7905 2022/06/28 04:19:42 - mmengine - INFO - Epoch(train) [38][2760/3757] lr: 1.000e-02 eta: 17:14:37 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 6.0768 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6476 loss: 1.6476 2022/06/28 04:19:47 - mmengine - INFO - Epoch(train) [38][2780/3757] lr: 1.000e-02 eta: 17:14:32 time: 0.224 data_time: 0.007 memory: 5148 grad_norm: 5.2541 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9646 loss: 1.9646 2022/06/28 04:19:52 - mmengine - INFO - Epoch(train) [38][2800/3757] lr: 1.000e-02 eta: 17:14:25 time: 0.196 data_time: 0.013 memory: 5148 grad_norm: 5.1144 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1552 loss: 2.1552 2022/06/28 04:19:57 - mmengine - INFO - Epoch(train) [38][2820/3757] lr: 1.000e-02 eta: 17:14:20 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 6.8012 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9879 loss: 1.9879 2022/06/28 04:20:03 - mmengine - INFO - Epoch(train) [38][2840/3757] lr: 1.000e-02 eta: 17:14:16 time: 1.379 data_time: 0.006 memory: 5148 grad_norm: 5.0843 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7707 loss: 1.7707 2022/06/28 04:20:08 - mmengine - INFO - Epoch(train) [38][2860/3757] lr: 1.000e-02 eta: 17:14:10 time: 0.209 data_time: 0.016 memory: 5148 grad_norm: 4.3556 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1842 loss: 2.1842 2022/06/28 04:20:13 - mmengine - INFO - Epoch(train) [38][2880/3757] lr: 1.000e-02 eta: 17:14:04 time: 0.201 data_time: 0.022 memory: 5148 grad_norm: 5.7851 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1370 loss: 2.1370 2022/06/28 04:20:19 - mmengine - INFO - Epoch(train) [38][2900/3757] lr: 1.000e-02 eta: 17:13:59 time: 0.682 data_time: 0.010 memory: 5148 grad_norm: 6.9764 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0972 loss: 2.0972 2022/06/28 04:20:24 - mmengine - INFO - Epoch(train) [38][2920/3757] lr: 1.000e-02 eta: 17:13:54 time: 0.197 data_time: 0.016 memory: 5148 grad_norm: 5.0338 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5637 loss: 2.5637 2022/06/28 04:20:29 - mmengine - INFO - Epoch(train) [38][2940/3757] lr: 1.000e-02 eta: 17:13:48 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.7261 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.2324 loss: 2.2324 2022/06/28 04:20:34 - mmengine - INFO - Epoch(train) [38][2960/3757] lr: 1.000e-02 eta: 17:13:42 time: 0.648 data_time: 0.007 memory: 5148 grad_norm: 5.5424 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9878 loss: 1.9878 2022/06/28 04:20:39 - mmengine - INFO - Epoch(train) [38][2980/3757] lr: 1.000e-02 eta: 17:13:36 time: 0.201 data_time: 0.012 memory: 5148 grad_norm: 5.7096 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9522 loss: 1.9522 2022/06/28 04:20:42 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 04:20:45 - mmengine - INFO - Epoch(train) [38][3000/3757] lr: 1.000e-02 eta: 17:13:31 time: 0.725 data_time: 0.007 memory: 5148 grad_norm: 6.0950 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1451 loss: 2.1451 2022/06/28 04:20:49 - mmengine - INFO - Epoch(train) [38][3020/3757] lr: 1.000e-02 eta: 17:13:25 time: 0.308 data_time: 0.007 memory: 5148 grad_norm: 5.3053 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5240 loss: 1.5240 2022/06/28 04:20:55 - mmengine - INFO - Epoch(train) [38][3040/3757] lr: 1.000e-02 eta: 17:13:20 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.1306 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8278 loss: 1.8278 2022/06/28 04:21:01 - mmengine - INFO - Epoch(train) [38][3060/3757] lr: 1.000e-02 eta: 17:13:15 time: 0.916 data_time: 0.013 memory: 5148 grad_norm: 5.7892 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1415 loss: 2.1415 2022/06/28 04:21:06 - mmengine - INFO - Epoch(train) [38][3080/3757] lr: 1.000e-02 eta: 17:13:10 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 5.4832 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7161 loss: 1.7161 2022/06/28 04:21:11 - mmengine - INFO - Epoch(train) [38][3100/3757] lr: 1.000e-02 eta: 17:13:04 time: 0.208 data_time: 0.010 memory: 5148 grad_norm: 5.8024 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1945 loss: 2.1945 2022/06/28 04:21:17 - mmengine - INFO - Epoch(train) [38][3120/3757] lr: 1.000e-02 eta: 17:13:00 time: 0.229 data_time: 0.008 memory: 5148 grad_norm: 6.2524 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7205 loss: 1.7205 2022/06/28 04:21:22 - mmengine - INFO - Epoch(train) [38][3140/3757] lr: 1.000e-02 eta: 17:12:54 time: 0.464 data_time: 0.016 memory: 5148 grad_norm: 5.6201 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3878 loss: 1.3878 2022/06/28 04:21:27 - mmengine - INFO - Epoch(train) [38][3160/3757] lr: 1.000e-02 eta: 17:12:48 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.0952 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9942 loss: 1.9942 2022/06/28 04:21:32 - mmengine - INFO - Epoch(train) [38][3180/3757] lr: 1.000e-02 eta: 17:12:43 time: 0.253 data_time: 0.007 memory: 5148 grad_norm: 5.9949 top1_acc: 0.1250 top5_acc: 1.0000 loss_cls: 2.0743 loss: 2.0743 2022/06/28 04:21:37 - mmengine - INFO - Epoch(train) [38][3200/3757] lr: 1.000e-02 eta: 17:12:38 time: 0.320 data_time: 0.027 memory: 5148 grad_norm: 5.6599 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2150 loss: 2.2150 2022/06/28 04:21:42 - mmengine - INFO - Epoch(train) [38][3220/3757] lr: 1.000e-02 eta: 17:12:32 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.7774 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2820 loss: 2.2820 2022/06/28 04:21:48 - mmengine - INFO - Epoch(train) [38][3240/3757] lr: 1.000e-02 eta: 17:12:27 time: 0.210 data_time: 0.009 memory: 5148 grad_norm: 6.4621 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0571 loss: 2.0571 2022/06/28 04:21:54 - mmengine - INFO - Epoch(train) [38][3260/3757] lr: 1.000e-02 eta: 17:12:23 time: 0.665 data_time: 0.029 memory: 5148 grad_norm: 5.6152 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5346 loss: 2.5346 2022/06/28 04:21:58 - mmengine - INFO - Epoch(train) [38][3280/3757] lr: 1.000e-02 eta: 17:12:16 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.7327 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7950 loss: 1.7950 2022/06/28 04:22:04 - mmengine - INFO - Epoch(train) [38][3300/3757] lr: 1.000e-02 eta: 17:12:11 time: 0.206 data_time: 0.006 memory: 5148 grad_norm: 5.5985 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2444 loss: 2.2444 2022/06/28 04:22:09 - mmengine - INFO - Epoch(train) [38][3320/3757] lr: 1.000e-02 eta: 17:12:06 time: 0.472 data_time: 0.021 memory: 5148 grad_norm: 5.2001 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1280 loss: 2.1280 2022/06/28 04:22:15 - mmengine - INFO - Epoch(train) [38][3340/3757] lr: 1.000e-02 eta: 17:12:00 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 6.3073 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.9519 loss: 1.9519 2022/06/28 04:22:20 - mmengine - INFO - Epoch(train) [38][3360/3757] lr: 1.000e-02 eta: 17:11:55 time: 0.221 data_time: 0.006 memory: 5148 grad_norm: 6.4098 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5281 loss: 1.5281 2022/06/28 04:22:26 - mmengine - INFO - Epoch(train) [38][3380/3757] lr: 1.000e-02 eta: 17:11:51 time: 0.229 data_time: 0.027 memory: 5148 grad_norm: 6.2431 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1530 loss: 2.1530 2022/06/28 04:22:31 - mmengine - INFO - Epoch(train) [38][3400/3757] lr: 1.000e-02 eta: 17:11:45 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 5.9951 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1762 loss: 2.1762 2022/06/28 04:22:36 - mmengine - INFO - Epoch(train) [38][3420/3757] lr: 1.000e-02 eta: 17:11:40 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.8725 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9741 loss: 1.9741 2022/06/28 04:22:42 - mmengine - INFO - Epoch(train) [38][3440/3757] lr: 1.000e-02 eta: 17:11:35 time: 0.970 data_time: 0.015 memory: 5148 grad_norm: 5.0052 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1489 loss: 2.1489 2022/06/28 04:22:47 - mmengine - INFO - Epoch(train) [38][3460/3757] lr: 1.000e-02 eta: 17:11:29 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 6.0613 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1919 loss: 2.1919 2022/06/28 04:22:52 - mmengine - INFO - Epoch(train) [38][3480/3757] lr: 1.000e-02 eta: 17:11:24 time: 0.207 data_time: 0.006 memory: 5148 grad_norm: 5.9199 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2687 loss: 2.2687 2022/06/28 04:22:58 - mmengine - INFO - Epoch(train) [38][3500/3757] lr: 1.000e-02 eta: 17:11:19 time: 0.359 data_time: 0.032 memory: 5148 grad_norm: 4.8389 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9705 loss: 1.9705 2022/06/28 04:23:03 - mmengine - INFO - Epoch(train) [38][3520/3757] lr: 1.000e-02 eta: 17:11:13 time: 0.201 data_time: 0.021 memory: 5148 grad_norm: 5.5848 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6118 loss: 1.6118 2022/06/28 04:23:08 - mmengine - INFO - Epoch(train) [38][3540/3757] lr: 1.000e-02 eta: 17:11:08 time: 0.211 data_time: 0.006 memory: 5148 grad_norm: 5.9340 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7854 loss: 2.7854 2022/06/28 04:23:14 - mmengine - INFO - Epoch(train) [38][3560/3757] lr: 1.000e-02 eta: 17:11:03 time: 0.754 data_time: 0.025 memory: 5148 grad_norm: 6.3989 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9974 loss: 1.9974 2022/06/28 04:23:19 - mmengine - INFO - Epoch(train) [38][3580/3757] lr: 1.000e-02 eta: 17:10:57 time: 0.200 data_time: 0.012 memory: 5148 grad_norm: 5.6890 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9458 loss: 1.9458 2022/06/28 04:23:24 - mmengine - INFO - Epoch(train) [38][3600/3757] lr: 1.000e-02 eta: 17:10:52 time: 0.247 data_time: 0.006 memory: 5148 grad_norm: 5.0965 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8845 loss: 1.8845 2022/06/28 04:23:30 - mmengine - INFO - Epoch(train) [38][3620/3757] lr: 1.000e-02 eta: 17:10:47 time: 0.860 data_time: 0.023 memory: 5148 grad_norm: 5.6719 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0279 loss: 2.0279 2022/06/28 04:23:34 - mmengine - INFO - Epoch(train) [38][3640/3757] lr: 1.000e-02 eta: 17:10:41 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 6.0506 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7290 loss: 1.7290 2022/06/28 04:23:40 - mmengine - INFO - Epoch(train) [38][3660/3757] lr: 1.000e-02 eta: 17:10:36 time: 0.211 data_time: 0.006 memory: 5148 grad_norm: 5.7312 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8408 loss: 1.8408 2022/06/28 04:23:45 - mmengine - INFO - Epoch(train) [38][3680/3757] lr: 1.000e-02 eta: 17:10:31 time: 0.210 data_time: 0.028 memory: 5148 grad_norm: 5.9470 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4797 loss: 2.4797 2022/06/28 04:23:50 - mmengine - INFO - Epoch(train) [38][3700/3757] lr: 1.000e-02 eta: 17:10:25 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 6.7790 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0634 loss: 2.0634 2022/06/28 04:23:56 - mmengine - INFO - Epoch(train) [38][3720/3757] lr: 1.000e-02 eta: 17:10:20 time: 0.210 data_time: 0.006 memory: 5148 grad_norm: 4.7291 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9650 loss: 1.9650 2022/06/28 04:24:01 - mmengine - INFO - Epoch(train) [38][3740/3757] lr: 1.000e-02 eta: 17:10:15 time: 0.227 data_time: 0.048 memory: 5148 grad_norm: 6.0463 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3008 loss: 2.3008 2022/06/28 04:24:05 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 04:24:12 - mmengine - INFO - Epoch(val) [38][20/310] eta: 0:01:15 time: 0.477 data_time: 0.400 memory: 5148 2022/06/28 04:24:17 - mmengine - INFO - Epoch(val) [38][40/310] eta: 0:00:57 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 04:24:23 - mmengine - INFO - Epoch(val) [38][60/310] eta: 0:00:59 time: 0.295 data_time: 0.223 memory: 1367 2022/06/28 04:24:27 - mmengine - INFO - Epoch(val) [38][80/310] eta: 0:00:51 time: 0.133 data_time: 0.059 memory: 1367 2022/06/28 04:24:33 - mmengine - INFO - Epoch(val) [38][100/310] eta: 0:00:52 time: 0.258 data_time: 0.178 memory: 1367 2022/06/28 04:24:38 - mmengine - INFO - Epoch(val) [38][120/310] eta: 0:00:45 time: 0.134 data_time: 0.060 memory: 1367 2022/06/28 04:24:45 - mmengine - INFO - Epoch(val) [38][140/310] eta: 0:00:55 time: 0.942 data_time: 0.809 memory: 1367 2022/06/28 04:24:49 - mmengine - INFO - Epoch(val) [38][160/310] eta: 0:00:33 time: 0.086 data_time: 0.008 memory: 1367 2022/06/28 04:24:55 - mmengine - INFO - Epoch(val) [38][180/310] eta: 0:00:47 time: 0.905 data_time: 0.828 memory: 1367 2022/06/28 04:25:00 - mmengine - INFO - Epoch(val) [38][200/310] eta: 0:00:26 time: 0.088 data_time: 0.013 memory: 1367 2022/06/28 04:25:06 - mmengine - INFO - Epoch(val) [38][220/310] eta: 0:00:32 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 04:25:10 - mmengine - INFO - Epoch(val) [38][240/310] eta: 0:00:14 time: 0.094 data_time: 0.014 memory: 1367 2022/06/28 04:25:16 - mmengine - INFO - Epoch(val) [38][260/310] eta: 0:00:19 time: 0.085 data_time: 0.005 memory: 1367 2022/06/28 04:25:21 - mmengine - INFO - Epoch(val) [38][280/310] eta: 0:00:07 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 04:25:27 - mmengine - INFO - Epoch(val) [38][300/310] eta: 0:00:03 time: 0.089 data_time: 0.008 memory: 1367 2022/06/28 04:25:30 - mmengine - INFO - Epoch(val) [38][310/310] acc/top1: 0.5581 acc/top5: 0.7958 acc/mean1: 0.5581 2022/06/28 04:25:38 - mmengine - INFO - Epoch(train) [39][20/3757] lr: 1.000e-02 eta: 17:10:06 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.6109 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8988 loss: 1.8988 2022/06/28 04:25:44 - mmengine - INFO - Epoch(train) [39][40/3757] lr: 1.000e-02 eta: 17:10:02 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 6.0812 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9927 loss: 1.9927 2022/06/28 04:25:49 - mmengine - INFO - Epoch(train) [39][60/3757] lr: 1.000e-02 eta: 17:09:56 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.4847 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6941 loss: 1.6941 2022/06/28 04:25:55 - mmengine - INFO - Epoch(train) [39][80/3757] lr: 1.000e-02 eta: 17:09:51 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 5.3150 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2560 loss: 2.2560 2022/06/28 04:26:00 - mmengine - INFO - Epoch(train) [39][100/3757] lr: 1.000e-02 eta: 17:09:46 time: 0.190 data_time: 0.011 memory: 5148 grad_norm: 5.2960 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.8108 loss: 1.8108 2022/06/28 04:26:05 - mmengine - INFO - Epoch(train) [39][120/3757] lr: 1.000e-02 eta: 17:09:40 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 4.5621 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7955 loss: 1.7955 2022/06/28 04:26:11 - mmengine - INFO - Epoch(train) [39][140/3757] lr: 1.000e-02 eta: 17:09:35 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 6.4388 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1563 loss: 2.1563 2022/06/28 04:26:17 - mmengine - INFO - Epoch(train) [39][160/3757] lr: 1.000e-02 eta: 17:09:31 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.6791 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7893 loss: 1.7893 2022/06/28 04:26:21 - mmengine - INFO - Epoch(train) [39][180/3757] lr: 1.000e-02 eta: 17:09:24 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.9635 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2024 loss: 2.2024 2022/06/28 04:26:27 - mmengine - INFO - Epoch(train) [39][200/3757] lr: 1.000e-02 eta: 17:09:20 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 5.4298 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0004 loss: 2.0004 2022/06/28 04:26:33 - mmengine - INFO - Epoch(train) [39][220/3757] lr: 1.000e-02 eta: 17:09:15 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 5.7104 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1832 loss: 2.1832 2022/06/28 04:26:37 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 04:26:38 - mmengine - INFO - Epoch(train) [39][240/3757] lr: 1.000e-02 eta: 17:09:10 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.2293 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4575 loss: 2.4575 2022/06/28 04:26:43 - mmengine - INFO - Epoch(train) [39][260/3757] lr: 1.000e-02 eta: 17:09:03 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.8266 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6878 loss: 1.6878 2022/06/28 04:26:48 - mmengine - INFO - Epoch(train) [39][280/3757] lr: 1.000e-02 eta: 17:08:59 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.0492 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1513 loss: 2.1513 2022/06/28 04:26:53 - mmengine - INFO - Epoch(train) [39][300/3757] lr: 1.000e-02 eta: 17:08:52 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.0113 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7632 loss: 1.7632 2022/06/28 04:26:59 - mmengine - INFO - Epoch(train) [39][320/3757] lr: 1.000e-02 eta: 17:08:48 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.7627 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1923 loss: 2.1923 2022/06/28 04:27:04 - mmengine - INFO - Epoch(train) [39][340/3757] lr: 1.000e-02 eta: 17:08:43 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 5.8400 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8617 loss: 1.8617 2022/06/28 04:27:09 - mmengine - INFO - Epoch(train) [39][360/3757] lr: 1.000e-02 eta: 17:08:36 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.6715 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6365 loss: 1.6365 2022/06/28 04:27:15 - mmengine - INFO - Epoch(train) [39][380/3757] lr: 1.000e-02 eta: 17:08:31 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.9867 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8161 loss: 1.8161 2022/06/28 04:27:20 - mmengine - INFO - Epoch(train) [39][400/3757] lr: 1.000e-02 eta: 17:08:27 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 6.3242 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0268 loss: 2.0268 2022/06/28 04:27:25 - mmengine - INFO - Epoch(train) [39][420/3757] lr: 1.000e-02 eta: 17:08:21 time: 0.194 data_time: 0.006 memory: 5148 grad_norm: 5.2957 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7280 loss: 1.7280 2022/06/28 04:27:31 - mmengine - INFO - Epoch(train) [39][440/3757] lr: 1.000e-02 eta: 17:08:16 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.4401 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5701 loss: 1.5701 2022/06/28 04:27:36 - mmengine - INFO - Epoch(train) [39][460/3757] lr: 1.000e-02 eta: 17:08:11 time: 0.211 data_time: 0.006 memory: 5148 grad_norm: 5.6654 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.7449 loss: 1.7449 2022/06/28 04:27:41 - mmengine - INFO - Epoch(train) [39][480/3757] lr: 1.000e-02 eta: 17:08:05 time: 0.206 data_time: 0.006 memory: 5148 grad_norm: 5.8686 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0115 loss: 2.0115 2022/06/28 04:27:46 - mmengine - INFO - Epoch(train) [39][500/3757] lr: 1.000e-02 eta: 17:08:00 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 5.2608 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8945 loss: 1.8945 2022/06/28 04:27:52 - mmengine - INFO - Epoch(train) [39][520/3757] lr: 1.000e-02 eta: 17:07:55 time: 0.211 data_time: 0.014 memory: 5148 grad_norm: 5.8256 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1489 loss: 2.1489 2022/06/28 04:27:57 - mmengine - INFO - Epoch(train) [39][540/3757] lr: 1.000e-02 eta: 17:07:49 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.1800 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0148 loss: 2.0148 2022/06/28 04:28:03 - mmengine - INFO - Epoch(train) [39][560/3757] lr: 1.000e-02 eta: 17:07:44 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.4254 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3609 loss: 2.3609 2022/06/28 04:28:08 - mmengine - INFO - Epoch(train) [39][580/3757] lr: 1.000e-02 eta: 17:07:38 time: 0.211 data_time: 0.016 memory: 5148 grad_norm: 6.5448 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.0282 loss: 2.0282 2022/06/28 04:28:13 - mmengine - INFO - Epoch(train) [39][600/3757] lr: 1.000e-02 eta: 17:07:33 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 5.3823 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.9900 loss: 1.9900 2022/06/28 04:28:19 - mmengine - INFO - Epoch(train) [39][620/3757] lr: 1.000e-02 eta: 17:07:29 time: 0.203 data_time: 0.022 memory: 5148 grad_norm: 5.8163 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1736 loss: 2.1736 2022/06/28 04:28:24 - mmengine - INFO - Epoch(train) [39][640/3757] lr: 1.000e-02 eta: 17:07:23 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 5.9512 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1183 loss: 2.1183 2022/06/28 04:28:29 - mmengine - INFO - Epoch(train) [39][660/3757] lr: 1.000e-02 eta: 17:07:17 time: 0.202 data_time: 0.009 memory: 5148 grad_norm: 5.7818 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0708 loss: 2.0708 2022/06/28 04:28:35 - mmengine - INFO - Epoch(train) [39][680/3757] lr: 1.000e-02 eta: 17:07:12 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.4522 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0074 loss: 2.0074 2022/06/28 04:28:40 - mmengine - INFO - Epoch(train) [39][700/3757] lr: 1.000e-02 eta: 17:07:07 time: 0.194 data_time: 0.017 memory: 5148 grad_norm: 6.0613 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1115 loss: 2.1115 2022/06/28 04:28:45 - mmengine - INFO - Epoch(train) [39][720/3757] lr: 1.000e-02 eta: 17:07:01 time: 0.226 data_time: 0.007 memory: 5148 grad_norm: 5.9216 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1782 loss: 2.1782 2022/06/28 04:28:50 - mmengine - INFO - Epoch(train) [39][740/3757] lr: 1.000e-02 eta: 17:06:56 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 6.1287 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7433 loss: 1.7433 2022/06/28 04:28:56 - mmengine - INFO - Epoch(train) [39][760/3757] lr: 1.000e-02 eta: 17:06:52 time: 0.230 data_time: 0.012 memory: 5148 grad_norm: 6.1621 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9385 loss: 1.9385 2022/06/28 04:29:01 - mmengine - INFO - Epoch(train) [39][780/3757] lr: 1.000e-02 eta: 17:06:46 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 6.4854 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0130 loss: 2.0130 2022/06/28 04:29:07 - mmengine - INFO - Epoch(train) [39][800/3757] lr: 1.000e-02 eta: 17:06:41 time: 0.197 data_time: 0.012 memory: 5148 grad_norm: 6.4277 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0229 loss: 2.0229 2022/06/28 04:29:12 - mmengine - INFO - Epoch(train) [39][820/3757] lr: 1.000e-02 eta: 17:06:36 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 6.2806 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8832 loss: 1.8832 2022/06/28 04:29:17 - mmengine - INFO - Epoch(train) [39][840/3757] lr: 1.000e-02 eta: 17:06:29 time: 0.206 data_time: 0.006 memory: 5148 grad_norm: 5.4787 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9884 loss: 1.9884 2022/06/28 04:29:22 - mmengine - INFO - Epoch(train) [39][860/3757] lr: 1.000e-02 eta: 17:06:24 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 5.1245 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7448 loss: 1.7448 2022/06/28 04:29:28 - mmengine - INFO - Epoch(train) [39][880/3757] lr: 1.000e-02 eta: 17:06:19 time: 0.471 data_time: 0.012 memory: 5148 grad_norm: 6.0770 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0285 loss: 2.0285 2022/06/28 04:29:33 - mmengine - INFO - Epoch(train) [39][900/3757] lr: 1.000e-02 eta: 17:06:14 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 4.9593 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1374 loss: 2.1374 2022/06/28 04:29:39 - mmengine - INFO - Epoch(train) [39][920/3757] lr: 1.000e-02 eta: 17:06:09 time: 0.197 data_time: 0.009 memory: 5148 grad_norm: 5.6454 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1764 loss: 2.1764 2022/06/28 04:29:44 - mmengine - INFO - Epoch(train) [39][940/3757] lr: 1.000e-02 eta: 17:06:04 time: 0.216 data_time: 0.019 memory: 5148 grad_norm: 5.3652 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0252 loss: 2.0252 2022/06/28 04:29:50 - mmengine - INFO - Epoch(train) [39][960/3757] lr: 1.000e-02 eta: 17:05:59 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 5.5706 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3126 loss: 2.3126 2022/06/28 04:29:55 - mmengine - INFO - Epoch(train) [39][980/3757] lr: 1.000e-02 eta: 17:05:53 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 5.9188 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0804 loss: 2.0804 2022/06/28 04:30:01 - mmengine - INFO - Epoch(train) [39][1000/3757] lr: 1.000e-02 eta: 17:05:49 time: 0.221 data_time: 0.020 memory: 5148 grad_norm: 5.6914 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9217 loss: 1.9217 2022/06/28 04:30:06 - mmengine - INFO - Epoch(train) [39][1020/3757] lr: 1.000e-02 eta: 17:05:43 time: 0.197 data_time: 0.014 memory: 5148 grad_norm: 5.5102 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5960 loss: 2.5960 2022/06/28 04:30:11 - mmengine - INFO - Epoch(train) [39][1040/3757] lr: 1.000e-02 eta: 17:05:38 time: 0.217 data_time: 0.008 memory: 5148 grad_norm: 5.5456 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1139 loss: 2.1139 2022/06/28 04:30:17 - mmengine - INFO - Epoch(train) [39][1060/3757] lr: 1.000e-02 eta: 17:05:33 time: 0.207 data_time: 0.020 memory: 5148 grad_norm: 5.9060 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4425 loss: 1.4425 2022/06/28 04:30:22 - mmengine - INFO - Epoch(train) [39][1080/3757] lr: 1.000e-02 eta: 17:05:27 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 5.1772 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1456 loss: 2.1456 2022/06/28 04:30:27 - mmengine - INFO - Epoch(train) [39][1100/3757] lr: 1.000e-02 eta: 17:05:22 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 5.6079 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7723 loss: 1.7723 2022/06/28 04:30:33 - mmengine - INFO - Epoch(train) [39][1120/3757] lr: 1.000e-02 eta: 17:05:17 time: 0.201 data_time: 0.013 memory: 5148 grad_norm: 5.8121 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8854 loss: 1.8854 2022/06/28 04:30:37 - mmengine - INFO - Epoch(train) [39][1140/3757] lr: 1.000e-02 eta: 17:05:11 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.5110 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3195 loss: 2.3195 2022/06/28 04:30:43 - mmengine - INFO - Epoch(train) [39][1160/3757] lr: 1.000e-02 eta: 17:05:06 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.3669 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9409 loss: 1.9409 2022/06/28 04:30:49 - mmengine - INFO - Epoch(train) [39][1180/3757] lr: 1.000e-02 eta: 17:05:02 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 5.9311 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9386 loss: 1.9386 2022/06/28 04:30:54 - mmengine - INFO - Epoch(train) [39][1200/3757] lr: 1.000e-02 eta: 17:04:56 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 5.8036 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1652 loss: 2.1652 2022/06/28 04:30:59 - mmengine - INFO - Epoch(train) [39][1220/3757] lr: 1.000e-02 eta: 17:04:50 time: 0.213 data_time: 0.008 memory: 5148 grad_norm: 6.3202 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9273 loss: 1.9273 2022/06/28 04:31:03 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 04:31:05 - mmengine - INFO - Epoch(train) [39][1240/3757] lr: 1.000e-02 eta: 17:04:47 time: 0.361 data_time: 0.010 memory: 5148 grad_norm: 5.5733 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4295 loss: 1.4295 2022/06/28 04:31:09 - mmengine - INFO - Epoch(train) [39][1260/3757] lr: 1.000e-02 eta: 17:04:39 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 5.6319 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9730 loss: 1.9730 2022/06/28 04:31:15 - mmengine - INFO - Epoch(train) [39][1280/3757] lr: 1.000e-02 eta: 17:04:35 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.5079 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8542 loss: 1.8542 2022/06/28 04:31:20 - mmengine - INFO - Epoch(train) [39][1300/3757] lr: 1.000e-02 eta: 17:04:29 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.7873 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0509 loss: 2.0509 2022/06/28 04:31:26 - mmengine - INFO - Epoch(train) [39][1320/3757] lr: 1.000e-02 eta: 17:04:24 time: 0.214 data_time: 0.012 memory: 5148 grad_norm: 5.0242 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1704 loss: 2.1704 2022/06/28 04:31:31 - mmengine - INFO - Epoch(train) [39][1340/3757] lr: 1.000e-02 eta: 17:04:18 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 5.3410 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0560 loss: 2.0560 2022/06/28 04:31:36 - mmengine - INFO - Epoch(train) [39][1360/3757] lr: 1.000e-02 eta: 17:04:13 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 5.7234 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8352 loss: 1.8352 2022/06/28 04:31:41 - mmengine - INFO - Epoch(train) [39][1380/3757] lr: 1.000e-02 eta: 17:04:08 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 6.5223 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9390 loss: 1.9390 2022/06/28 04:31:47 - mmengine - INFO - Epoch(train) [39][1400/3757] lr: 1.000e-02 eta: 17:04:03 time: 0.199 data_time: 0.018 memory: 5148 grad_norm: 6.1453 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8298 loss: 1.8298 2022/06/28 04:31:53 - mmengine - INFO - Epoch(train) [39][1420/3757] lr: 1.000e-02 eta: 17:03:58 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 5.0275 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9934 loss: 1.9934 2022/06/28 04:31:58 - mmengine - INFO - Epoch(train) [39][1440/3757] lr: 1.000e-02 eta: 17:03:52 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.7072 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8523 loss: 1.8523 2022/06/28 04:32:03 - mmengine - INFO - Epoch(train) [39][1460/3757] lr: 1.000e-02 eta: 17:03:47 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.3949 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0972 loss: 2.0972 2022/06/28 04:32:08 - mmengine - INFO - Epoch(train) [39][1480/3757] lr: 1.000e-02 eta: 17:03:42 time: 0.226 data_time: 0.007 memory: 5148 grad_norm: 5.2837 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7192 loss: 1.7192 2022/06/28 04:32:13 - mmengine - INFO - Epoch(train) [39][1500/3757] lr: 1.000e-02 eta: 17:03:36 time: 0.194 data_time: 0.015 memory: 5148 grad_norm: 5.3317 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8313 loss: 1.8313 2022/06/28 04:32:19 - mmengine - INFO - Epoch(train) [39][1520/3757] lr: 1.000e-02 eta: 17:03:31 time: 0.224 data_time: 0.010 memory: 5148 grad_norm: 5.8599 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0330 loss: 2.0330 2022/06/28 04:32:24 - mmengine - INFO - Epoch(train) [39][1540/3757] lr: 1.000e-02 eta: 17:03:25 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 4.8378 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2577 loss: 2.2577 2022/06/28 04:32:29 - mmengine - INFO - Epoch(train) [39][1560/3757] lr: 1.000e-02 eta: 17:03:20 time: 0.193 data_time: 0.015 memory: 5148 grad_norm: 6.5604 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1882 loss: 2.1882 2022/06/28 04:32:35 - mmengine - INFO - Epoch(train) [39][1580/3757] lr: 1.000e-02 eta: 17:03:15 time: 0.196 data_time: 0.006 memory: 5148 grad_norm: 5.8661 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.0339 loss: 2.0339 2022/06/28 04:32:41 - mmengine - INFO - Epoch(train) [39][1600/3757] lr: 1.000e-02 eta: 17:03:11 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 6.9011 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2569 loss: 2.2569 2022/06/28 04:32:46 - mmengine - INFO - Epoch(train) [39][1620/3757] lr: 1.000e-02 eta: 17:03:05 time: 0.364 data_time: 0.027 memory: 5148 grad_norm: 5.6899 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8798 loss: 1.8798 2022/06/28 04:32:51 - mmengine - INFO - Epoch(train) [39][1640/3757] lr: 1.000e-02 eta: 17:02:59 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 5.1437 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8932 loss: 1.8932 2022/06/28 04:32:57 - mmengine - INFO - Epoch(train) [39][1660/3757] lr: 1.000e-02 eta: 17:02:55 time: 0.207 data_time: 0.006 memory: 5148 grad_norm: 5.1923 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2855 loss: 2.2855 2022/06/28 04:33:01 - mmengine - INFO - Epoch(train) [39][1680/3757] lr: 1.000e-02 eta: 17:02:48 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 5.1714 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.0474 loss: 2.0474 2022/06/28 04:33:07 - mmengine - INFO - Epoch(train) [39][1700/3757] lr: 1.000e-02 eta: 17:02:44 time: 0.209 data_time: 0.021 memory: 5148 grad_norm: 5.6773 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.8786 loss: 1.8786 2022/06/28 04:33:12 - mmengine - INFO - Epoch(train) [39][1720/3757] lr: 1.000e-02 eta: 17:02:38 time: 0.221 data_time: 0.010 memory: 5148 grad_norm: 5.7187 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9596 loss: 1.9596 2022/06/28 04:33:17 - mmengine - INFO - Epoch(train) [39][1740/3757] lr: 1.000e-02 eta: 17:02:32 time: 0.200 data_time: 0.017 memory: 5148 grad_norm: 5.8554 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8661 loss: 1.8661 2022/06/28 04:33:23 - mmengine - INFO - Epoch(train) [39][1760/3757] lr: 1.000e-02 eta: 17:02:28 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 5.5378 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8008 loss: 1.8008 2022/06/28 04:33:29 - mmengine - INFO - Epoch(train) [39][1780/3757] lr: 1.000e-02 eta: 17:02:24 time: 0.212 data_time: 0.006 memory: 5148 grad_norm: 6.2954 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0757 loss: 2.0757 2022/06/28 04:33:33 - mmengine - INFO - Epoch(train) [39][1800/3757] lr: 1.000e-02 eta: 17:02:17 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 4.8375 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8760 loss: 1.8760 2022/06/28 04:33:37 - mmengine - INFO - Epoch(train) [39][1820/3757] lr: 1.000e-02 eta: 17:02:09 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 6.1813 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1059 loss: 2.1059 2022/06/28 04:33:42 - mmengine - INFO - Epoch(train) [39][1840/3757] lr: 1.000e-02 eta: 17:02:03 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.7756 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8823 loss: 1.8823 2022/06/28 04:33:48 - mmengine - INFO - Epoch(train) [39][1860/3757] lr: 1.000e-02 eta: 17:01:59 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 4.6770 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2839 loss: 2.2839 2022/06/28 04:33:54 - mmengine - INFO - Epoch(train) [39][1880/3757] lr: 1.000e-02 eta: 17:01:54 time: 1.045 data_time: 0.006 memory: 5148 grad_norm: 5.5426 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9172 loss: 1.9172 2022/06/28 04:33:59 - mmengine - INFO - Epoch(train) [39][1900/3757] lr: 1.000e-02 eta: 17:01:48 time: 0.206 data_time: 0.006 memory: 5148 grad_norm: 5.7906 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8945 loss: 1.8945 2022/06/28 04:34:04 - mmengine - INFO - Epoch(train) [39][1920/3757] lr: 1.000e-02 eta: 17:01:43 time: 0.192 data_time: 0.011 memory: 5148 grad_norm: 6.1791 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0264 loss: 2.0264 2022/06/28 04:34:10 - mmengine - INFO - Epoch(train) [39][1940/3757] lr: 1.000e-02 eta: 17:01:39 time: 0.378 data_time: 0.006 memory: 5148 grad_norm: 5.4044 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9178 loss: 1.9178 2022/06/28 04:34:15 - mmengine - INFO - Epoch(train) [39][1960/3757] lr: 1.000e-02 eta: 17:01:33 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 5.3422 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7576 loss: 1.7576 2022/06/28 04:34:21 - mmengine - INFO - Epoch(train) [39][1980/3757] lr: 1.000e-02 eta: 17:01:28 time: 0.192 data_time: 0.010 memory: 5148 grad_norm: 6.4066 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1149 loss: 2.1149 2022/06/28 04:34:26 - mmengine - INFO - Epoch(train) [39][2000/3757] lr: 1.000e-02 eta: 17:01:23 time: 0.352 data_time: 0.013 memory: 5148 grad_norm: 6.2510 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8895 loss: 1.8895 2022/06/28 04:34:31 - mmengine - INFO - Epoch(train) [39][2020/3757] lr: 1.000e-02 eta: 17:01:17 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.4433 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9966 loss: 1.9966 2022/06/28 04:34:37 - mmengine - INFO - Epoch(train) [39][2040/3757] lr: 1.000e-02 eta: 17:01:12 time: 0.194 data_time: 0.011 memory: 5148 grad_norm: 4.8100 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0954 loss: 2.0954 2022/06/28 04:34:43 - mmengine - INFO - Epoch(train) [39][2060/3757] lr: 1.000e-02 eta: 17:01:08 time: 1.186 data_time: 0.006 memory: 5148 grad_norm: 6.0238 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7135 loss: 1.7135 2022/06/28 04:34:48 - mmengine - INFO - Epoch(train) [39][2080/3757] lr: 1.000e-02 eta: 17:01:02 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.8103 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3833 loss: 2.3833 2022/06/28 04:34:53 - mmengine - INFO - Epoch(train) [39][2100/3757] lr: 1.000e-02 eta: 17:00:57 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 5.2769 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9195 loss: 1.9195 2022/06/28 04:34:59 - mmengine - INFO - Epoch(train) [39][2120/3757] lr: 1.000e-02 eta: 17:00:52 time: 0.731 data_time: 0.007 memory: 5148 grad_norm: 6.4259 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3232 loss: 2.3232 2022/06/28 04:35:04 - mmengine - INFO - Epoch(train) [39][2140/3757] lr: 1.000e-02 eta: 17:00:46 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 4.6523 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6938 loss: 1.6938 2022/06/28 04:35:09 - mmengine - INFO - Epoch(train) [39][2160/3757] lr: 1.000e-02 eta: 17:00:41 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.9658 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9847 loss: 1.9847 2022/06/28 04:35:14 - mmengine - INFO - Epoch(train) [39][2180/3757] lr: 1.000e-02 eta: 17:00:36 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 6.7612 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5333 loss: 2.5333 2022/06/28 04:35:19 - mmengine - INFO - Epoch(train) [39][2200/3757] lr: 1.000e-02 eta: 17:00:30 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.0066 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9944 loss: 1.9944 2022/06/28 04:35:25 - mmengine - INFO - Epoch(train) [39][2220/3757] lr: 1.000e-02 eta: 17:00:25 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 5.7944 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1054 loss: 2.1054 2022/06/28 04:35:29 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 04:35:30 - mmengine - INFO - Epoch(train) [39][2240/3757] lr: 1.000e-02 eta: 17:00:20 time: 0.210 data_time: 0.006 memory: 5148 grad_norm: 6.3805 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3138 loss: 2.3138 2022/06/28 04:35:36 - mmengine - INFO - Epoch(train) [39][2260/3757] lr: 1.000e-02 eta: 17:00:14 time: 0.287 data_time: 0.007 memory: 5148 grad_norm: 5.6785 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8316 loss: 1.8316 2022/06/28 04:35:41 - mmengine - INFO - Epoch(train) [39][2280/3757] lr: 1.000e-02 eta: 17:00:10 time: 0.208 data_time: 0.006 memory: 5148 grad_norm: 5.5297 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2121 loss: 2.2121 2022/06/28 04:35:47 - mmengine - INFO - Epoch(train) [39][2300/3757] lr: 1.000e-02 eta: 17:00:05 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 6.1284 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7976 loss: 1.7976 2022/06/28 04:35:52 - mmengine - INFO - Epoch(train) [39][2320/3757] lr: 1.000e-02 eta: 16:59:59 time: 0.494 data_time: 0.007 memory: 5148 grad_norm: 6.9537 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2494 loss: 2.2494 2022/06/28 04:35:57 - mmengine - INFO - Epoch(train) [39][2340/3757] lr: 1.000e-02 eta: 16:59:54 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 5.6884 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1436 loss: 2.1436 2022/06/28 04:36:02 - mmengine - INFO - Epoch(train) [39][2360/3757] lr: 1.000e-02 eta: 16:59:48 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 5.7536 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4745 loss: 1.4745 2022/06/28 04:36:08 - mmengine - INFO - Epoch(train) [39][2380/3757] lr: 1.000e-02 eta: 16:59:43 time: 0.423 data_time: 0.009 memory: 5148 grad_norm: 4.7421 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9464 loss: 1.9464 2022/06/28 04:36:13 - mmengine - INFO - Epoch(train) [39][2400/3757] lr: 1.000e-02 eta: 16:59:37 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 6.1538 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9422 loss: 1.9422 2022/06/28 04:36:18 - mmengine - INFO - Epoch(train) [39][2420/3757] lr: 1.000e-02 eta: 16:59:32 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 5.3446 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9710 loss: 1.9710 2022/06/28 04:36:24 - mmengine - INFO - Epoch(train) [39][2440/3757] lr: 1.000e-02 eta: 16:59:27 time: 0.454 data_time: 0.007 memory: 5148 grad_norm: 5.0373 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0747 loss: 2.0747 2022/06/28 04:36:29 - mmengine - INFO - Epoch(train) [39][2460/3757] lr: 1.000e-02 eta: 16:59:22 time: 0.223 data_time: 0.007 memory: 5148 grad_norm: 6.1567 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.9928 loss: 1.9928 2022/06/28 04:36:35 - mmengine - INFO - Epoch(train) [39][2480/3757] lr: 1.000e-02 eta: 16:59:17 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 6.1985 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1998 loss: 2.1998 2022/06/28 04:36:40 - mmengine - INFO - Epoch(train) [39][2500/3757] lr: 1.000e-02 eta: 16:59:12 time: 0.821 data_time: 0.007 memory: 5148 grad_norm: 6.0433 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2752 loss: 2.2752 2022/06/28 04:36:45 - mmengine - INFO - Epoch(train) [39][2520/3757] lr: 1.000e-02 eta: 16:59:06 time: 0.204 data_time: 0.009 memory: 5148 grad_norm: 5.6707 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9507 loss: 1.9507 2022/06/28 04:36:51 - mmengine - INFO - Epoch(train) [39][2540/3757] lr: 1.000e-02 eta: 16:59:01 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 6.2172 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9052 loss: 1.9052 2022/06/28 04:36:56 - mmengine - INFO - Epoch(train) [39][2560/3757] lr: 1.000e-02 eta: 16:58:56 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 5.0092 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1097 loss: 2.1097 2022/06/28 04:37:01 - mmengine - INFO - Epoch(train) [39][2580/3757] lr: 1.000e-02 eta: 16:58:50 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.1653 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9983 loss: 1.9983 2022/06/28 04:37:06 - mmengine - INFO - Epoch(train) [39][2600/3757] lr: 1.000e-02 eta: 16:58:45 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 6.2698 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6363 loss: 2.6363 2022/06/28 04:37:12 - mmengine - INFO - Epoch(train) [39][2620/3757] lr: 1.000e-02 eta: 16:58:39 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.6369 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6395 loss: 1.6395 2022/06/28 04:37:17 - mmengine - INFO - Epoch(train) [39][2640/3757] lr: 1.000e-02 eta: 16:58:35 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 5.7877 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8184 loss: 1.8184 2022/06/28 04:37:23 - mmengine - INFO - Epoch(train) [39][2660/3757] lr: 1.000e-02 eta: 16:58:29 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.9439 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1188 loss: 2.1188 2022/06/28 04:37:28 - mmengine - INFO - Epoch(train) [39][2680/3757] lr: 1.000e-02 eta: 16:58:24 time: 0.190 data_time: 0.007 memory: 5148 grad_norm: 5.6634 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3911 loss: 2.3911 2022/06/28 04:37:33 - mmengine - INFO - Epoch(train) [39][2700/3757] lr: 1.000e-02 eta: 16:58:19 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.0793 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1525 loss: 2.1525 2022/06/28 04:37:39 - mmengine - INFO - Epoch(train) [39][2720/3757] lr: 1.000e-02 eta: 16:58:14 time: 0.191 data_time: 0.011 memory: 5148 grad_norm: 5.5193 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8865 loss: 1.8865 2022/06/28 04:37:44 - mmengine - INFO - Epoch(train) [39][2740/3757] lr: 1.000e-02 eta: 16:58:08 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.3061 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2180 loss: 2.2180 2022/06/28 04:37:49 - mmengine - INFO - Epoch(train) [39][2760/3757] lr: 1.000e-02 eta: 16:58:03 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 6.4431 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7350 loss: 1.7350 2022/06/28 04:37:55 - mmengine - INFO - Epoch(train) [39][2780/3757] lr: 1.000e-02 eta: 16:57:58 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 5.3986 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8275 loss: 1.8275 2022/06/28 04:38:00 - mmengine - INFO - Epoch(train) [39][2800/3757] lr: 1.000e-02 eta: 16:57:52 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.4147 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4589 loss: 2.4589 2022/06/28 04:38:05 - mmengine - INFO - Epoch(train) [39][2820/3757] lr: 1.000e-02 eta: 16:57:47 time: 0.208 data_time: 0.006 memory: 5148 grad_norm: 5.2486 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8782 loss: 1.8782 2022/06/28 04:38:11 - mmengine - INFO - Epoch(train) [39][2840/3757] lr: 1.000e-02 eta: 16:57:42 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.1522 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1615 loss: 2.1615 2022/06/28 04:38:16 - mmengine - INFO - Epoch(train) [39][2860/3757] lr: 1.000e-02 eta: 16:57:37 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 5.6522 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9481 loss: 1.9481 2022/06/28 04:38:22 - mmengine - INFO - Epoch(train) [39][2880/3757] lr: 1.000e-02 eta: 16:57:32 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 5.5496 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0867 loss: 2.0867 2022/06/28 04:38:27 - mmengine - INFO - Epoch(train) [39][2900/3757] lr: 1.000e-02 eta: 16:57:27 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.6278 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5622 loss: 1.5622 2022/06/28 04:38:32 - mmengine - INFO - Epoch(train) [39][2920/3757] lr: 1.000e-02 eta: 16:57:20 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 4.7693 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7680 loss: 1.7680 2022/06/28 04:38:38 - mmengine - INFO - Epoch(train) [39][2940/3757] lr: 1.000e-02 eta: 16:57:16 time: 0.235 data_time: 0.007 memory: 5148 grad_norm: 5.8010 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8889 loss: 1.8889 2022/06/28 04:38:43 - mmengine - INFO - Epoch(train) [39][2960/3757] lr: 1.000e-02 eta: 16:57:10 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.1640 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7879 loss: 1.7879 2022/06/28 04:38:48 - mmengine - INFO - Epoch(train) [39][2980/3757] lr: 1.000e-02 eta: 16:57:04 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.3232 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8683 loss: 1.8683 2022/06/28 04:38:53 - mmengine - INFO - Epoch(train) [39][3000/3757] lr: 1.000e-02 eta: 16:56:59 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.5959 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8418 loss: 1.8418 2022/06/28 04:38:58 - mmengine - INFO - Epoch(train) [39][3020/3757] lr: 1.000e-02 eta: 16:56:54 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 5.7486 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7983 loss: 1.7983 2022/06/28 04:39:04 - mmengine - INFO - Epoch(train) [39][3040/3757] lr: 1.000e-02 eta: 16:56:49 time: 0.192 data_time: 0.008 memory: 5148 grad_norm: 5.9887 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2289 loss: 2.2289 2022/06/28 04:39:09 - mmengine - INFO - Epoch(train) [39][3060/3757] lr: 1.000e-02 eta: 16:56:44 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 4.9024 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1760 loss: 2.1760 2022/06/28 04:39:14 - mmengine - INFO - Epoch(train) [39][3080/3757] lr: 1.000e-02 eta: 16:56:38 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.3375 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8498 loss: 1.8498 2022/06/28 04:39:20 - mmengine - INFO - Epoch(train) [39][3100/3757] lr: 1.000e-02 eta: 16:56:33 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 6.1245 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3901 loss: 2.3901 2022/06/28 04:39:25 - mmengine - INFO - Epoch(train) [39][3120/3757] lr: 1.000e-02 eta: 16:56:28 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.1832 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7135 loss: 1.7135 2022/06/28 04:39:30 - mmengine - INFO - Epoch(train) [39][3140/3757] lr: 1.000e-02 eta: 16:56:22 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.7313 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9613 loss: 1.9613 2022/06/28 04:39:36 - mmengine - INFO - Epoch(train) [39][3160/3757] lr: 1.000e-02 eta: 16:56:17 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.1356 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5632 loss: 2.5632 2022/06/28 04:39:41 - mmengine - INFO - Epoch(train) [39][3180/3757] lr: 1.000e-02 eta: 16:56:11 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 5.2539 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8197 loss: 1.8197 2022/06/28 04:39:46 - mmengine - INFO - Epoch(train) [39][3200/3757] lr: 1.000e-02 eta: 16:56:06 time: 0.286 data_time: 0.009 memory: 5148 grad_norm: 5.1688 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7303 loss: 1.7303 2022/06/28 04:39:51 - mmengine - INFO - Epoch(train) [39][3220/3757] lr: 1.000e-02 eta: 16:56:01 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.6805 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3073 loss: 2.3073 2022/06/28 04:39:55 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 04:39:57 - mmengine - INFO - Epoch(train) [39][3240/3757] lr: 1.000e-02 eta: 16:55:55 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.0272 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9033 loss: 1.9033 2022/06/28 04:40:02 - mmengine - INFO - Epoch(train) [39][3260/3757] lr: 1.000e-02 eta: 16:55:51 time: 0.539 data_time: 0.007 memory: 5148 grad_norm: 6.3879 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8903 loss: 1.8903 2022/06/28 04:40:08 - mmengine - INFO - Epoch(train) [39][3280/3757] lr: 1.000e-02 eta: 16:55:45 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 6.4302 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0911 loss: 2.0911 2022/06/28 04:40:13 - mmengine - INFO - Epoch(train) [39][3300/3757] lr: 1.000e-02 eta: 16:55:40 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 6.8147 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1532 loss: 2.1532 2022/06/28 04:40:19 - mmengine - INFO - Epoch(train) [39][3320/3757] lr: 1.000e-02 eta: 16:55:36 time: 0.315 data_time: 0.006 memory: 5148 grad_norm: 5.1199 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7520 loss: 1.7520 2022/06/28 04:40:24 - mmengine - INFO - Epoch(train) [39][3340/3757] lr: 1.000e-02 eta: 16:55:30 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.3419 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8067 loss: 1.8067 2022/06/28 04:40:30 - mmengine - INFO - Epoch(train) [39][3360/3757] lr: 1.000e-02 eta: 16:55:25 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 6.5602 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9543 loss: 1.9543 2022/06/28 04:40:35 - mmengine - INFO - Epoch(train) [39][3380/3757] lr: 1.000e-02 eta: 16:55:20 time: 0.514 data_time: 0.010 memory: 5148 grad_norm: 5.5499 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3195 loss: 2.3195 2022/06/28 04:40:40 - mmengine - INFO - Epoch(train) [39][3400/3757] lr: 1.000e-02 eta: 16:55:14 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.3935 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1685 loss: 2.1685 2022/06/28 04:40:46 - mmengine - INFO - Epoch(train) [39][3420/3757] lr: 1.000e-02 eta: 16:55:09 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 6.3802 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7364 loss: 1.7364 2022/06/28 04:40:52 - mmengine - INFO - Epoch(train) [39][3440/3757] lr: 1.000e-02 eta: 16:55:05 time: 0.206 data_time: 0.006 memory: 5148 grad_norm: 5.2995 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6334 loss: 1.6334 2022/06/28 04:40:57 - mmengine - INFO - Epoch(train) [39][3460/3757] lr: 1.000e-02 eta: 16:54:59 time: 0.420 data_time: 0.026 memory: 5148 grad_norm: 5.7701 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3512 loss: 2.3512 2022/06/28 04:41:02 - mmengine - INFO - Epoch(train) [39][3480/3757] lr: 1.000e-02 eta: 16:54:53 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 5.4630 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4151 loss: 2.4151 2022/06/28 04:41:07 - mmengine - INFO - Epoch(train) [39][3500/3757] lr: 1.000e-02 eta: 16:54:48 time: 0.205 data_time: 0.012 memory: 5148 grad_norm: 6.2237 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.1960 loss: 2.1960 2022/06/28 04:41:11 - mmengine - INFO - Epoch(train) [39][3520/3757] lr: 1.000e-02 eta: 16:54:41 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.0265 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2706 loss: 2.2706 2022/06/28 04:41:17 - mmengine - INFO - Epoch(train) [39][3540/3757] lr: 1.000e-02 eta: 16:54:37 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 5.3977 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8985 loss: 1.8985 2022/06/28 04:41:22 - mmengine - INFO - Epoch(train) [39][3560/3757] lr: 1.000e-02 eta: 16:54:31 time: 0.208 data_time: 0.016 memory: 5148 grad_norm: 6.2981 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8327 loss: 1.8327 2022/06/28 04:41:27 - mmengine - INFO - Epoch(train) [39][3580/3757] lr: 1.000e-02 eta: 16:54:25 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 6.0969 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7848 loss: 1.7848 2022/06/28 04:41:33 - mmengine - INFO - Epoch(train) [39][3600/3757] lr: 1.000e-02 eta: 16:54:21 time: 0.246 data_time: 0.012 memory: 5148 grad_norm: 5.9830 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8969 loss: 1.8969 2022/06/28 04:41:39 - mmengine - INFO - Epoch(train) [39][3620/3757] lr: 1.000e-02 eta: 16:54:16 time: 0.736 data_time: 0.018 memory: 5148 grad_norm: 5.8153 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9772 loss: 1.9772 2022/06/28 04:41:44 - mmengine - INFO - Epoch(train) [39][3640/3757] lr: 1.000e-02 eta: 16:54:10 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 6.6191 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5765 loss: 2.5765 2022/06/28 04:41:49 - mmengine - INFO - Epoch(train) [39][3660/3757] lr: 1.000e-02 eta: 16:54:05 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 5.8534 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9048 loss: 1.9048 2022/06/28 04:41:55 - mmengine - INFO - Epoch(train) [39][3680/3757] lr: 1.000e-02 eta: 16:54:01 time: 0.898 data_time: 0.018 memory: 5148 grad_norm: 6.2588 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9371 loss: 1.9371 2022/06/28 04:42:00 - mmengine - INFO - Epoch(train) [39][3700/3757] lr: 1.000e-02 eta: 16:53:54 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 6.2367 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8471 loss: 1.8471 2022/06/28 04:42:05 - mmengine - INFO - Epoch(train) [39][3720/3757] lr: 1.000e-02 eta: 16:53:49 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 6.2341 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6368 loss: 1.6368 2022/06/28 04:42:10 - mmengine - INFO - Epoch(train) [39][3740/3757] lr: 1.000e-02 eta: 16:53:44 time: 0.216 data_time: 0.010 memory: 5148 grad_norm: 5.3218 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1179 loss: 2.1179 2022/06/28 04:42:14 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 04:42:21 - mmengine - INFO - Epoch(val) [39][20/310] eta: 0:01:17 time: 0.416 data_time: 0.341 memory: 5148 2022/06/28 04:42:25 - mmengine - INFO - Epoch(val) [39][40/310] eta: 0:01:02 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 04:42:31 - mmengine - INFO - Epoch(val) [39][60/310] eta: 0:01:00 time: 0.416 data_time: 0.332 memory: 1367 2022/06/28 04:42:36 - mmengine - INFO - Epoch(val) [39][80/310] eta: 0:00:56 time: 0.087 data_time: 0.010 memory: 1367 2022/06/28 04:42:42 - mmengine - INFO - Epoch(val) [39][100/310] eta: 0:00:55 time: 0.413 data_time: 0.342 memory: 1367 2022/06/28 04:42:46 - mmengine - INFO - Epoch(val) [39][120/310] eta: 0:00:45 time: 0.276 data_time: 0.169 memory: 1367 2022/06/28 04:42:53 - mmengine - INFO - Epoch(val) [39][140/310] eta: 0:00:56 time: 1.148 data_time: 1.077 memory: 1367 2022/06/28 04:42:57 - mmengine - INFO - Epoch(val) [39][160/310] eta: 0:00:34 time: 0.095 data_time: 0.023 memory: 1367 2022/06/28 04:43:04 - mmengine - INFO - Epoch(val) [39][180/310] eta: 0:00:50 time: 1.364 data_time: 1.284 memory: 1367 2022/06/28 04:43:08 - mmengine - INFO - Epoch(val) [39][200/310] eta: 0:00:25 time: 0.081 data_time: 0.009 memory: 1367 2022/06/28 04:43:14 - mmengine - INFO - Epoch(val) [39][220/310] eta: 0:00:33 time: 1.365 data_time: 1.288 memory: 1367 2022/06/28 04:43:19 - mmengine - INFO - Epoch(val) [39][240/310] eta: 0:00:14 time: 0.080 data_time: 0.005 memory: 1367 2022/06/28 04:43:25 - mmengine - INFO - Epoch(val) [39][260/310] eta: 0:00:18 time: 1.223 data_time: 1.147 memory: 1367 2022/06/28 04:43:29 - mmengine - INFO - Epoch(val) [39][280/310] eta: 0:00:07 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 04:43:35 - mmengine - INFO - Epoch(val) [39][300/310] eta: 0:00:03 time: 0.848 data_time: 0.776 memory: 1367 2022/06/28 04:43:38 - mmengine - INFO - Epoch(val) [39][310/310] acc/top1: 0.5608 acc/top5: 0.8014 acc/mean1: 0.5606 2022/06/28 04:43:46 - mmengine - INFO - Epoch(train) [40][20/3757] lr: 1.000e-02 eta: 16:53:35 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 5.4438 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1933 loss: 2.1933 2022/06/28 04:43:52 - mmengine - INFO - Epoch(train) [40][40/3757] lr: 1.000e-02 eta: 16:53:30 time: 0.193 data_time: 0.006 memory: 5148 grad_norm: 5.3651 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0644 loss: 2.0644 2022/06/28 04:43:57 - mmengine - INFO - Epoch(train) [40][60/3757] lr: 1.000e-02 eta: 16:53:25 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.5154 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6445 loss: 1.6445 2022/06/28 04:44:03 - mmengine - INFO - Epoch(train) [40][80/3757] lr: 1.000e-02 eta: 16:53:19 time: 0.193 data_time: 0.008 memory: 5148 grad_norm: 6.2911 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8821 loss: 1.8821 2022/06/28 04:44:09 - mmengine - INFO - Epoch(train) [40][100/3757] lr: 1.000e-02 eta: 16:53:15 time: 0.193 data_time: 0.006 memory: 5148 grad_norm: 6.1305 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0405 loss: 2.0405 2022/06/28 04:44:13 - mmengine - INFO - Epoch(train) [40][120/3757] lr: 1.000e-02 eta: 16:53:08 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 5.7228 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0304 loss: 2.0304 2022/06/28 04:44:19 - mmengine - INFO - Epoch(train) [40][140/3757] lr: 1.000e-02 eta: 16:53:04 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 6.1499 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9179 loss: 1.9179 2022/06/28 04:44:25 - mmengine - INFO - Epoch(train) [40][160/3757] lr: 1.000e-02 eta: 16:52:59 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.1901 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9044 loss: 1.9044 2022/06/28 04:44:29 - mmengine - INFO - Epoch(train) [40][180/3757] lr: 1.000e-02 eta: 16:52:53 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 6.3100 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9799 loss: 1.9799 2022/06/28 04:44:35 - mmengine - INFO - Epoch(train) [40][200/3757] lr: 1.000e-02 eta: 16:52:48 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.5726 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1378 loss: 2.1378 2022/06/28 04:44:41 - mmengine - INFO - Epoch(train) [40][220/3757] lr: 1.000e-02 eta: 16:52:43 time: 0.186 data_time: 0.009 memory: 5148 grad_norm: 5.4776 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5036 loss: 1.5036 2022/06/28 04:44:45 - mmengine - INFO - Epoch(train) [40][240/3757] lr: 1.000e-02 eta: 16:52:37 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.0068 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2393 loss: 2.2393 2022/06/28 04:44:51 - mmengine - INFO - Epoch(train) [40][260/3757] lr: 1.000e-02 eta: 16:52:33 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 5.7924 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8225 loss: 1.8225 2022/06/28 04:44:57 - mmengine - INFO - Epoch(train) [40][280/3757] lr: 1.000e-02 eta: 16:52:28 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 5.5478 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9264 loss: 1.9264 2022/06/28 04:45:02 - mmengine - INFO - Epoch(train) [40][300/3757] lr: 1.000e-02 eta: 16:52:22 time: 0.191 data_time: 0.006 memory: 5148 grad_norm: 5.9760 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9922 loss: 1.9922 2022/06/28 04:45:08 - mmengine - INFO - Epoch(train) [40][320/3757] lr: 1.000e-02 eta: 16:52:18 time: 0.226 data_time: 0.008 memory: 5148 grad_norm: 5.4653 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8035 loss: 1.8035 2022/06/28 04:45:13 - mmengine - INFO - Epoch(train) [40][340/3757] lr: 1.000e-02 eta: 16:52:12 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.4865 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0609 loss: 2.0609 2022/06/28 04:45:18 - mmengine - INFO - Epoch(train) [40][360/3757] lr: 1.000e-02 eta: 16:52:06 time: 0.222 data_time: 0.011 memory: 5148 grad_norm: 5.0497 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.8084 loss: 1.8084 2022/06/28 04:45:24 - mmengine - INFO - Epoch(train) [40][380/3757] lr: 1.000e-02 eta: 16:52:02 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 5.4760 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5971 loss: 1.5971 2022/06/28 04:45:29 - mmengine - INFO - Epoch(train) [40][400/3757] lr: 1.000e-02 eta: 16:51:57 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 4.9685 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8479 loss: 1.8479 2022/06/28 04:45:34 - mmengine - INFO - Epoch(train) [40][420/3757] lr: 1.000e-02 eta: 16:51:51 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.1925 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0437 loss: 2.0437 2022/06/28 04:45:40 - mmengine - INFO - Epoch(train) [40][440/3757] lr: 1.000e-02 eta: 16:51:46 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 6.3150 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0619 loss: 2.0619 2022/06/28 04:45:45 - mmengine - INFO - Epoch(train) [40][460/3757] lr: 1.000e-02 eta: 16:51:40 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.3976 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2176 loss: 2.2176 2022/06/28 04:45:49 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 04:45:50 - mmengine - INFO - Epoch(train) [40][480/3757] lr: 1.000e-02 eta: 16:51:35 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 5.4919 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6929 loss: 1.6929 2022/06/28 04:45:55 - mmengine - INFO - Epoch(train) [40][500/3757] lr: 1.000e-02 eta: 16:51:29 time: 0.193 data_time: 0.009 memory: 5148 grad_norm: 5.6099 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7550 loss: 1.7550 2022/06/28 04:46:01 - mmengine - INFO - Epoch(train) [40][520/3757] lr: 1.000e-02 eta: 16:51:25 time: 0.224 data_time: 0.007 memory: 5148 grad_norm: 5.8469 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6444 loss: 1.6444 2022/06/28 04:46:06 - mmengine - INFO - Epoch(train) [40][540/3757] lr: 1.000e-02 eta: 16:51:19 time: 0.194 data_time: 0.009 memory: 5148 grad_norm: 6.5507 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3020 loss: 2.3020 2022/06/28 04:46:11 - mmengine - INFO - Epoch(train) [40][560/3757] lr: 1.000e-02 eta: 16:51:13 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 5.5692 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6821 loss: 1.6821 2022/06/28 04:46:17 - mmengine - INFO - Epoch(train) [40][580/3757] lr: 1.000e-02 eta: 16:51:08 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 6.2410 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2392 loss: 2.2392 2022/06/28 04:46:22 - mmengine - INFO - Epoch(train) [40][600/3757] lr: 1.000e-02 eta: 16:51:02 time: 0.214 data_time: 0.010 memory: 5148 grad_norm: 5.3745 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7374 loss: 1.7374 2022/06/28 04:46:28 - mmengine - INFO - Epoch(train) [40][620/3757] lr: 1.000e-02 eta: 16:50:58 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.6581 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.4319 loss: 1.4319 2022/06/28 04:46:33 - mmengine - INFO - Epoch(train) [40][640/3757] lr: 1.000e-02 eta: 16:50:53 time: 0.202 data_time: 0.013 memory: 5148 grad_norm: 5.6024 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9801 loss: 1.9801 2022/06/28 04:46:38 - mmengine - INFO - Epoch(train) [40][660/3757] lr: 1.000e-02 eta: 16:50:47 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 5.4199 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9405 loss: 1.9405 2022/06/28 04:46:43 - mmengine - INFO - Epoch(train) [40][680/3757] lr: 1.000e-02 eta: 16:50:42 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 5.4481 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9925 loss: 1.9925 2022/06/28 04:46:49 - mmengine - INFO - Epoch(train) [40][700/3757] lr: 1.000e-02 eta: 16:50:38 time: 0.222 data_time: 0.010 memory: 5148 grad_norm: 6.7035 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1379 loss: 2.1379 2022/06/28 04:46:54 - mmengine - INFO - Epoch(train) [40][720/3757] lr: 1.000e-02 eta: 16:50:31 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 5.7106 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7706 loss: 1.7706 2022/06/28 04:47:00 - mmengine - INFO - Epoch(train) [40][740/3757] lr: 1.000e-02 eta: 16:50:27 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 4.6400 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6996 loss: 1.6996 2022/06/28 04:47:06 - mmengine - INFO - Epoch(train) [40][760/3757] lr: 1.000e-02 eta: 16:50:22 time: 0.208 data_time: 0.014 memory: 5148 grad_norm: 6.0506 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8735 loss: 1.8735 2022/06/28 04:47:10 - mmengine - INFO - Epoch(train) [40][780/3757] lr: 1.000e-02 eta: 16:50:16 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 5.8036 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6870 loss: 1.6870 2022/06/28 04:47:15 - mmengine - INFO - Epoch(train) [40][800/3757] lr: 1.000e-02 eta: 16:50:10 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.8043 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.5608 loss: 1.5608 2022/06/28 04:47:21 - mmengine - INFO - Epoch(train) [40][820/3757] lr: 1.000e-02 eta: 16:50:06 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.8523 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9623 loss: 1.9623 2022/06/28 04:47:26 - mmengine - INFO - Epoch(train) [40][840/3757] lr: 1.000e-02 eta: 16:49:59 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 6.4627 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7233 loss: 1.7233 2022/06/28 04:47:31 - mmengine - INFO - Epoch(train) [40][860/3757] lr: 1.000e-02 eta: 16:49:54 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 5.7844 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7437 loss: 1.7437 2022/06/28 04:47:37 - mmengine - INFO - Epoch(train) [40][880/3757] lr: 1.000e-02 eta: 16:49:50 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.7555 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.8763 loss: 1.8763 2022/06/28 04:47:42 - mmengine - INFO - Epoch(train) [40][900/3757] lr: 1.000e-02 eta: 16:49:44 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 6.0769 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0178 loss: 2.0178 2022/06/28 04:47:48 - mmengine - INFO - Epoch(train) [40][920/3757] lr: 1.000e-02 eta: 16:49:39 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 5.2801 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4485 loss: 1.4485 2022/06/28 04:47:53 - mmengine - INFO - Epoch(train) [40][940/3757] lr: 1.000e-02 eta: 16:49:34 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 5.4864 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7279 loss: 1.7279 2022/06/28 04:47:58 - mmengine - INFO - Epoch(train) [40][960/3757] lr: 1.000e-02 eta: 16:49:28 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 5.7100 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0408 loss: 2.0408 2022/06/28 04:48:03 - mmengine - INFO - Epoch(train) [40][980/3757] lr: 1.000e-02 eta: 16:49:23 time: 0.214 data_time: 0.010 memory: 5148 grad_norm: 5.6254 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0958 loss: 2.0958 2022/06/28 04:48:09 - mmengine - INFO - Epoch(train) [40][1000/3757] lr: 1.000e-02 eta: 16:49:17 time: 0.205 data_time: 0.006 memory: 5148 grad_norm: 5.8097 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7761 loss: 1.7761 2022/06/28 04:48:14 - mmengine - INFO - Epoch(train) [40][1020/3757] lr: 1.000e-02 eta: 16:49:12 time: 0.204 data_time: 0.013 memory: 5148 grad_norm: 5.6402 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5427 loss: 1.5427 2022/06/28 04:48:19 - mmengine - INFO - Epoch(train) [40][1040/3757] lr: 1.000e-02 eta: 16:49:06 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.5022 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0476 loss: 2.0476 2022/06/28 04:48:25 - mmengine - INFO - Epoch(train) [40][1060/3757] lr: 1.000e-02 eta: 16:49:01 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.4785 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6540 loss: 1.6540 2022/06/28 04:48:30 - mmengine - INFO - Epoch(train) [40][1080/3757] lr: 1.000e-02 eta: 16:48:56 time: 0.200 data_time: 0.014 memory: 5148 grad_norm: 6.0121 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9422 loss: 1.9422 2022/06/28 04:48:36 - mmengine - INFO - Epoch(train) [40][1100/3757] lr: 1.000e-02 eta: 16:48:51 time: 0.198 data_time: 0.013 memory: 5148 grad_norm: 5.3694 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9626 loss: 1.9626 2022/06/28 04:48:41 - mmengine - INFO - Epoch(train) [40][1120/3757] lr: 1.000e-02 eta: 16:48:47 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 5.2535 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9702 loss: 1.9702 2022/06/28 04:48:46 - mmengine - INFO - Epoch(train) [40][1140/3757] lr: 1.000e-02 eta: 16:48:41 time: 0.210 data_time: 0.009 memory: 5148 grad_norm: 6.2955 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2149 loss: 2.2149 2022/06/28 04:48:52 - mmengine - INFO - Epoch(train) [40][1160/3757] lr: 1.000e-02 eta: 16:48:35 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 6.1267 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9262 loss: 1.9262 2022/06/28 04:48:56 - mmengine - INFO - Epoch(train) [40][1180/3757] lr: 1.000e-02 eta: 16:48:29 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 5.8996 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9721 loss: 1.9721 2022/06/28 04:49:01 - mmengine - INFO - Epoch(train) [40][1200/3757] lr: 1.000e-02 eta: 16:48:23 time: 0.199 data_time: 0.013 memory: 5148 grad_norm: 5.0342 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7989 loss: 1.7989 2022/06/28 04:49:07 - mmengine - INFO - Epoch(train) [40][1220/3757] lr: 1.000e-02 eta: 16:48:19 time: 0.209 data_time: 0.010 memory: 5148 grad_norm: 5.9217 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1412 loss: 2.1412 2022/06/28 04:49:13 - mmengine - INFO - Epoch(train) [40][1240/3757] lr: 1.000e-02 eta: 16:48:14 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 5.8994 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8614 loss: 1.8614 2022/06/28 04:49:18 - mmengine - INFO - Epoch(train) [40][1260/3757] lr: 1.000e-02 eta: 16:48:08 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 6.2642 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7305 loss: 1.7305 2022/06/28 04:49:23 - mmengine - INFO - Epoch(train) [40][1280/3757] lr: 1.000e-02 eta: 16:48:03 time: 0.201 data_time: 0.013 memory: 5148 grad_norm: 5.8743 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8872 loss: 1.8872 2022/06/28 04:49:29 - mmengine - INFO - Epoch(train) [40][1300/3757] lr: 1.000e-02 eta: 16:47:58 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 6.2396 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2336 loss: 1.2336 2022/06/28 04:49:33 - mmengine - INFO - Epoch(train) [40][1320/3757] lr: 1.000e-02 eta: 16:47:52 time: 0.200 data_time: 0.015 memory: 5148 grad_norm: 5.1243 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8177 loss: 1.8177 2022/06/28 04:49:39 - mmengine - INFO - Epoch(train) [40][1340/3757] lr: 1.000e-02 eta: 16:47:47 time: 0.197 data_time: 0.014 memory: 5148 grad_norm: 6.0106 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5245 loss: 1.5245 2022/06/28 04:49:45 - mmengine - INFO - Epoch(train) [40][1360/3757] lr: 1.000e-02 eta: 16:47:42 time: 0.213 data_time: 0.013 memory: 5148 grad_norm: 6.0556 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2180 loss: 2.2180 2022/06/28 04:49:50 - mmengine - INFO - Epoch(train) [40][1380/3757] lr: 1.000e-02 eta: 16:47:36 time: 0.191 data_time: 0.012 memory: 5148 grad_norm: 5.3103 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9264 loss: 1.9264 2022/06/28 04:49:55 - mmengine - INFO - Epoch(train) [40][1400/3757] lr: 1.000e-02 eta: 16:47:31 time: 0.205 data_time: 0.016 memory: 5148 grad_norm: 5.5094 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7435 loss: 1.7435 2022/06/28 04:50:01 - mmengine - INFO - Epoch(train) [40][1420/3757] lr: 1.000e-02 eta: 16:47:26 time: 0.376 data_time: 0.007 memory: 5148 grad_norm: 6.2129 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0193 loss: 2.0193 2022/06/28 04:50:06 - mmengine - INFO - Epoch(train) [40][1440/3757] lr: 1.000e-02 eta: 16:47:21 time: 0.212 data_time: 0.025 memory: 5148 grad_norm: 5.6654 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0011 loss: 2.0011 2022/06/28 04:50:12 - mmengine - INFO - Epoch(train) [40][1460/3757] lr: 1.000e-02 eta: 16:47:16 time: 0.198 data_time: 0.016 memory: 5148 grad_norm: 5.1726 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5679 loss: 1.5679 2022/06/28 04:50:16 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 04:50:17 - mmengine - INFO - Epoch(train) [40][1480/3757] lr: 1.000e-02 eta: 16:47:10 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.6873 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9474 loss: 1.9474 2022/06/28 04:50:23 - mmengine - INFO - Epoch(train) [40][1500/3757] lr: 1.000e-02 eta: 16:47:06 time: 0.210 data_time: 0.026 memory: 5148 grad_norm: 5.4480 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0328 loss: 2.0328 2022/06/28 04:50:28 - mmengine - INFO - Epoch(train) [40][1520/3757] lr: 1.000e-02 eta: 16:47:01 time: 0.203 data_time: 0.018 memory: 5148 grad_norm: 5.4766 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2244 loss: 2.2244 2022/06/28 04:50:33 - mmengine - INFO - Epoch(train) [40][1540/3757] lr: 1.000e-02 eta: 16:46:55 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 5.2685 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7376 loss: 1.7376 2022/06/28 04:50:39 - mmengine - INFO - Epoch(train) [40][1560/3757] lr: 1.000e-02 eta: 16:46:50 time: 0.259 data_time: 0.030 memory: 5148 grad_norm: 5.8793 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3416 loss: 2.3416 2022/06/28 04:50:44 - mmengine - INFO - Epoch(train) [40][1580/3757] lr: 1.000e-02 eta: 16:46:44 time: 0.204 data_time: 0.022 memory: 5148 grad_norm: 5.5953 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0371 loss: 2.0371 2022/06/28 04:50:49 - mmengine - INFO - Epoch(train) [40][1600/3757] lr: 1.000e-02 eta: 16:46:40 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.0828 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6566 loss: 1.6566 2022/06/28 04:50:54 - mmengine - INFO - Epoch(train) [40][1620/3757] lr: 1.000e-02 eta: 16:46:33 time: 0.316 data_time: 0.140 memory: 5148 grad_norm: 6.2728 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2524 loss: 2.2524 2022/06/28 04:51:00 - mmengine - INFO - Epoch(train) [40][1640/3757] lr: 1.000e-02 eta: 16:46:29 time: 0.215 data_time: 0.010 memory: 5148 grad_norm: 5.5306 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7130 loss: 1.7130 2022/06/28 04:51:05 - mmengine - INFO - Epoch(train) [40][1660/3757] lr: 1.000e-02 eta: 16:46:24 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 6.2139 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7931 loss: 1.7931 2022/06/28 04:51:10 - mmengine - INFO - Epoch(train) [40][1680/3757] lr: 1.000e-02 eta: 16:46:18 time: 0.206 data_time: 0.028 memory: 5148 grad_norm: 5.6305 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1175 loss: 2.1175 2022/06/28 04:51:16 - mmengine - INFO - Epoch(train) [40][1700/3757] lr: 1.000e-02 eta: 16:46:13 time: 0.229 data_time: 0.018 memory: 5148 grad_norm: 5.7996 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7895 loss: 1.7895 2022/06/28 04:51:21 - mmengine - INFO - Epoch(train) [40][1720/3757] lr: 1.000e-02 eta: 16:46:08 time: 0.209 data_time: 0.013 memory: 5148 grad_norm: 5.8506 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7993 loss: 1.7993 2022/06/28 04:51:26 - mmengine - INFO - Epoch(train) [40][1740/3757] lr: 1.000e-02 eta: 16:46:02 time: 0.202 data_time: 0.023 memory: 5148 grad_norm: 6.1426 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9354 loss: 1.9354 2022/06/28 04:51:32 - mmengine - INFO - Epoch(train) [40][1760/3757] lr: 1.000e-02 eta: 16:45:57 time: 0.200 data_time: 0.017 memory: 5148 grad_norm: 5.8653 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0640 loss: 2.0640 2022/06/28 04:51:38 - mmengine - INFO - Epoch(train) [40][1780/3757] lr: 1.000e-02 eta: 16:45:53 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 5.5999 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8474 loss: 1.8474 2022/06/28 04:51:42 - mmengine - INFO - Epoch(train) [40][1800/3757] lr: 1.000e-02 eta: 16:45:46 time: 0.210 data_time: 0.016 memory: 5148 grad_norm: 5.6563 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1456 loss: 2.1456 2022/06/28 04:51:48 - mmengine - INFO - Epoch(train) [40][1820/3757] lr: 1.000e-02 eta: 16:45:42 time: 0.211 data_time: 0.010 memory: 5148 grad_norm: 4.9304 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1793 loss: 2.1793 2022/06/28 04:51:54 - mmengine - INFO - Epoch(train) [40][1840/3757] lr: 1.000e-02 eta: 16:45:37 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 6.0692 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1053 loss: 2.1053 2022/06/28 04:51:59 - mmengine - INFO - Epoch(train) [40][1860/3757] lr: 1.000e-02 eta: 16:45:31 time: 0.216 data_time: 0.015 memory: 5148 grad_norm: 5.0661 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8054 loss: 1.8054 2022/06/28 04:52:04 - mmengine - INFO - Epoch(train) [40][1880/3757] lr: 1.000e-02 eta: 16:45:26 time: 0.240 data_time: 0.015 memory: 5148 grad_norm: 6.6358 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0017 loss: 2.0017 2022/06/28 04:52:09 - mmengine - INFO - Epoch(train) [40][1900/3757] lr: 1.000e-02 eta: 16:45:20 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 5.8057 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8394 loss: 1.8394 2022/06/28 04:52:15 - mmengine - INFO - Epoch(train) [40][1920/3757] lr: 1.000e-02 eta: 16:45:15 time: 0.219 data_time: 0.010 memory: 5148 grad_norm: 5.5881 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1705 loss: 2.1705 2022/06/28 04:52:20 - mmengine - INFO - Epoch(train) [40][1940/3757] lr: 1.000e-02 eta: 16:45:10 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 6.2596 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8844 loss: 1.8844 2022/06/28 04:52:25 - mmengine - INFO - Epoch(train) [40][1960/3757] lr: 1.000e-02 eta: 16:45:04 time: 0.204 data_time: 0.015 memory: 5148 grad_norm: 6.0017 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0589 loss: 2.0589 2022/06/28 04:52:30 - mmengine - INFO - Epoch(train) [40][1980/3757] lr: 1.000e-02 eta: 16:44:59 time: 0.195 data_time: 0.016 memory: 5148 grad_norm: 6.5303 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1029 loss: 2.1029 2022/06/28 04:52:36 - mmengine - INFO - Epoch(train) [40][2000/3757] lr: 1.000e-02 eta: 16:44:54 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 5.5377 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0867 loss: 2.0867 2022/06/28 04:52:41 - mmengine - INFO - Epoch(train) [40][2020/3757] lr: 1.000e-02 eta: 16:44:49 time: 0.196 data_time: 0.018 memory: 5148 grad_norm: 5.8889 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8684 loss: 1.8684 2022/06/28 04:52:46 - mmengine - INFO - Epoch(train) [40][2040/3757] lr: 1.000e-02 eta: 16:44:43 time: 0.194 data_time: 0.012 memory: 5148 grad_norm: 5.7945 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8196 loss: 1.8196 2022/06/28 04:52:52 - mmengine - INFO - Epoch(train) [40][2060/3757] lr: 1.000e-02 eta: 16:44:38 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.4177 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9445 loss: 1.9445 2022/06/28 04:52:57 - mmengine - INFO - Epoch(train) [40][2080/3757] lr: 1.000e-02 eta: 16:44:33 time: 0.240 data_time: 0.012 memory: 5148 grad_norm: 5.5386 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7881 loss: 1.7881 2022/06/28 04:53:02 - mmengine - INFO - Epoch(train) [40][2100/3757] lr: 1.000e-02 eta: 16:44:27 time: 0.198 data_time: 0.012 memory: 5148 grad_norm: 5.3196 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7023 loss: 1.7023 2022/06/28 04:53:08 - mmengine - INFO - Epoch(train) [40][2120/3757] lr: 1.000e-02 eta: 16:44:22 time: 0.205 data_time: 0.029 memory: 5148 grad_norm: 5.8193 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0455 loss: 2.0455 2022/06/28 04:53:13 - mmengine - INFO - Epoch(train) [40][2140/3757] lr: 1.000e-02 eta: 16:44:16 time: 0.202 data_time: 0.013 memory: 5148 grad_norm: 5.6437 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1225 loss: 2.1225 2022/06/28 04:53:18 - mmengine - INFO - Epoch(train) [40][2160/3757] lr: 1.000e-02 eta: 16:44:11 time: 0.190 data_time: 0.007 memory: 5148 grad_norm: 6.0732 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7312 loss: 1.7312 2022/06/28 04:53:23 - mmengine - INFO - Epoch(train) [40][2180/3757] lr: 1.000e-02 eta: 16:44:06 time: 0.200 data_time: 0.020 memory: 5148 grad_norm: 6.3901 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5015 loss: 2.5015 2022/06/28 04:53:29 - mmengine - INFO - Epoch(train) [40][2200/3757] lr: 1.000e-02 eta: 16:44:00 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 5.6851 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9996 loss: 1.9996 2022/06/28 04:53:34 - mmengine - INFO - Epoch(train) [40][2220/3757] lr: 1.000e-02 eta: 16:43:54 time: 0.218 data_time: 0.007 memory: 5148 grad_norm: 5.7439 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9286 loss: 1.9286 2022/06/28 04:53:39 - mmengine - INFO - Epoch(train) [40][2240/3757] lr: 1.000e-02 eta: 16:43:49 time: 0.201 data_time: 0.020 memory: 5148 grad_norm: 5.5471 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2053 loss: 2.2053 2022/06/28 04:53:45 - mmengine - INFO - Epoch(train) [40][2260/3757] lr: 1.000e-02 eta: 16:43:44 time: 0.208 data_time: 0.010 memory: 5148 grad_norm: 5.5222 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9403 loss: 1.9403 2022/06/28 04:53:50 - mmengine - INFO - Epoch(train) [40][2280/3757] lr: 1.000e-02 eta: 16:43:38 time: 0.251 data_time: 0.007 memory: 5148 grad_norm: 5.5500 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2503 loss: 2.2503 2022/06/28 04:53:55 - mmengine - INFO - Epoch(train) [40][2300/3757] lr: 1.000e-02 eta: 16:43:33 time: 0.198 data_time: 0.016 memory: 5148 grad_norm: 5.9026 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2681 loss: 2.2681 2022/06/28 04:54:00 - mmengine - INFO - Epoch(train) [40][2320/3757] lr: 1.000e-02 eta: 16:43:28 time: 0.210 data_time: 0.010 memory: 5148 grad_norm: 4.3458 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1309 loss: 2.1309 2022/06/28 04:54:06 - mmengine - INFO - Epoch(train) [40][2340/3757] lr: 1.000e-02 eta: 16:43:23 time: 0.629 data_time: 0.007 memory: 5148 grad_norm: 5.9909 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0055 loss: 2.0055 2022/06/28 04:54:11 - mmengine - INFO - Epoch(train) [40][2360/3757] lr: 1.000e-02 eta: 16:43:17 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 5.5847 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9700 loss: 1.9700 2022/06/28 04:54:16 - mmengine - INFO - Epoch(train) [40][2380/3757] lr: 1.000e-02 eta: 16:43:12 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.5089 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6430 loss: 1.6430 2022/06/28 04:54:22 - mmengine - INFO - Epoch(train) [40][2400/3757] lr: 1.000e-02 eta: 16:43:07 time: 0.813 data_time: 0.010 memory: 5148 grad_norm: 4.9371 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8894 loss: 1.8894 2022/06/28 04:54:27 - mmengine - INFO - Epoch(train) [40][2420/3757] lr: 1.000e-02 eta: 16:43:01 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 5.9654 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3027 loss: 2.3027 2022/06/28 04:54:32 - mmengine - INFO - Epoch(train) [40][2440/3757] lr: 1.000e-02 eta: 16:42:56 time: 0.320 data_time: 0.006 memory: 5148 grad_norm: 6.1538 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7112 loss: 1.7112 2022/06/28 04:54:38 - mmengine - INFO - Epoch(train) [40][2460/3757] lr: 1.000e-02 eta: 16:42:51 time: 0.292 data_time: 0.027 memory: 5148 grad_norm: 5.6275 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1040 loss: 2.1040 2022/06/28 04:54:42 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 04:54:43 - mmengine - INFO - Epoch(train) [40][2480/3757] lr: 1.000e-02 eta: 16:42:46 time: 0.190 data_time: 0.008 memory: 5148 grad_norm: 5.4983 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2310 loss: 2.2310 2022/06/28 04:54:49 - mmengine - INFO - Epoch(train) [40][2500/3757] lr: 1.000e-02 eta: 16:42:41 time: 0.552 data_time: 0.007 memory: 5148 grad_norm: 5.7810 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2312 loss: 2.2312 2022/06/28 04:54:54 - mmengine - INFO - Epoch(train) [40][2520/3757] lr: 1.000e-02 eta: 16:42:36 time: 0.210 data_time: 0.014 memory: 5148 grad_norm: 5.7670 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6673 loss: 1.6673 2022/06/28 04:55:00 - mmengine - INFO - Epoch(train) [40][2540/3757] lr: 1.000e-02 eta: 16:42:31 time: 0.194 data_time: 0.012 memory: 5148 grad_norm: 6.2063 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.0624 loss: 2.0624 2022/06/28 04:55:05 - mmengine - INFO - Epoch(train) [40][2560/3757] lr: 1.000e-02 eta: 16:42:25 time: 0.210 data_time: 0.009 memory: 5148 grad_norm: 5.6410 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4919 loss: 2.4919 2022/06/28 04:55:10 - mmengine - INFO - Epoch(train) [40][2580/3757] lr: 1.000e-02 eta: 16:42:20 time: 0.211 data_time: 0.018 memory: 5148 grad_norm: 5.8588 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1716 loss: 2.1716 2022/06/28 04:55:16 - mmengine - INFO - Epoch(train) [40][2600/3757] lr: 1.000e-02 eta: 16:42:15 time: 0.189 data_time: 0.010 memory: 5148 grad_norm: 5.2028 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1285 loss: 2.1285 2022/06/28 04:55:21 - mmengine - INFO - Epoch(train) [40][2620/3757] lr: 1.000e-02 eta: 16:42:10 time: 0.215 data_time: 0.017 memory: 5148 grad_norm: 5.9987 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8759 loss: 1.8759 2022/06/28 04:55:26 - mmengine - INFO - Epoch(train) [40][2640/3757] lr: 1.000e-02 eta: 16:42:04 time: 0.195 data_time: 0.017 memory: 5148 grad_norm: 5.4398 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6388 loss: 1.6388 2022/06/28 04:55:31 - mmengine - INFO - Epoch(train) [40][2660/3757] lr: 1.000e-02 eta: 16:41:59 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 5.7882 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2032 loss: 2.2032 2022/06/28 04:55:37 - mmengine - INFO - Epoch(train) [40][2680/3757] lr: 1.000e-02 eta: 16:41:54 time: 0.203 data_time: 0.017 memory: 5148 grad_norm: 6.5902 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0949 loss: 2.0949 2022/06/28 04:55:42 - mmengine - INFO - Epoch(train) [40][2700/3757] lr: 1.000e-02 eta: 16:41:48 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.9252 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5855 loss: 2.5855 2022/06/28 04:55:47 - mmengine - INFO - Epoch(train) [40][2720/3757] lr: 1.000e-02 eta: 16:41:43 time: 0.193 data_time: 0.008 memory: 5148 grad_norm: 5.9149 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8258 loss: 1.8258 2022/06/28 04:55:53 - mmengine - INFO - Epoch(train) [40][2740/3757] lr: 1.000e-02 eta: 16:41:37 time: 0.213 data_time: 0.010 memory: 5148 grad_norm: 5.6854 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9910 loss: 1.9910 2022/06/28 04:55:58 - mmengine - INFO - Epoch(train) [40][2760/3757] lr: 1.000e-02 eta: 16:41:32 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 5.8262 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9490 loss: 1.9490 2022/06/28 04:56:03 - mmengine - INFO - Epoch(train) [40][2780/3757] lr: 1.000e-02 eta: 16:41:27 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.5302 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6961 loss: 1.6961 2022/06/28 04:56:09 - mmengine - INFO - Epoch(train) [40][2800/3757] lr: 1.000e-02 eta: 16:41:22 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 5.0895 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2438 loss: 2.2438 2022/06/28 04:56:14 - mmengine - INFO - Epoch(train) [40][2820/3757] lr: 1.000e-02 eta: 16:41:16 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 6.1243 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.0602 loss: 2.0602 2022/06/28 04:56:20 - mmengine - INFO - Epoch(train) [40][2840/3757] lr: 1.000e-02 eta: 16:41:11 time: 0.193 data_time: 0.011 memory: 5148 grad_norm: 5.0320 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9520 loss: 1.9520 2022/06/28 04:56:24 - mmengine - INFO - Epoch(train) [40][2860/3757] lr: 1.000e-02 eta: 16:41:05 time: 0.211 data_time: 0.006 memory: 5148 grad_norm: 5.9438 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7762 loss: 1.7762 2022/06/28 04:56:31 - mmengine - INFO - Epoch(train) [40][2880/3757] lr: 1.000e-02 eta: 16:41:01 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 5.5663 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1405 loss: 2.1405 2022/06/28 04:56:35 - mmengine - INFO - Epoch(train) [40][2900/3757] lr: 1.000e-02 eta: 16:40:54 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 5.7658 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0069 loss: 2.0069 2022/06/28 04:56:40 - mmengine - INFO - Epoch(train) [40][2920/3757] lr: 1.000e-02 eta: 16:40:49 time: 0.208 data_time: 0.011 memory: 5148 grad_norm: 5.7517 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6094 loss: 2.6094 2022/06/28 04:56:45 - mmengine - INFO - Epoch(train) [40][2940/3757] lr: 1.000e-02 eta: 16:40:43 time: 0.197 data_time: 0.016 memory: 5148 grad_norm: 5.7377 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7666 loss: 1.7666 2022/06/28 04:56:51 - mmengine - INFO - Epoch(train) [40][2960/3757] lr: 1.000e-02 eta: 16:40:39 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.9363 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2827 loss: 2.2827 2022/06/28 04:56:57 - mmengine - INFO - Epoch(train) [40][2980/3757] lr: 1.000e-02 eta: 16:40:34 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 5.8979 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7754 loss: 1.7754 2022/06/28 04:57:02 - mmengine - INFO - Epoch(train) [40][3000/3757] lr: 1.000e-02 eta: 16:40:28 time: 0.208 data_time: 0.022 memory: 5148 grad_norm: 6.4360 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9442 loss: 1.9442 2022/06/28 04:57:07 - mmengine - INFO - Epoch(train) [40][3020/3757] lr: 1.000e-02 eta: 16:40:23 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 5.1431 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0903 loss: 2.0903 2022/06/28 04:57:13 - mmengine - INFO - Epoch(train) [40][3040/3757] lr: 1.000e-02 eta: 16:40:19 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 6.2283 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2645 loss: 2.2645 2022/06/28 04:57:18 - mmengine - INFO - Epoch(train) [40][3060/3757] lr: 1.000e-02 eta: 16:40:12 time: 0.210 data_time: 0.023 memory: 5148 grad_norm: 5.0997 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6945 loss: 1.6945 2022/06/28 04:57:24 - mmengine - INFO - Epoch(train) [40][3080/3757] lr: 1.000e-02 eta: 16:40:08 time: 0.212 data_time: 0.008 memory: 5148 grad_norm: 6.3645 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0174 loss: 2.0174 2022/06/28 04:57:29 - mmengine - INFO - Epoch(train) [40][3100/3757] lr: 1.000e-02 eta: 16:40:03 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 5.0504 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0461 loss: 2.0461 2022/06/28 04:57:34 - mmengine - INFO - Epoch(train) [40][3120/3757] lr: 1.000e-02 eta: 16:39:57 time: 0.215 data_time: 0.033 memory: 5148 grad_norm: 5.2107 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9783 loss: 1.9783 2022/06/28 04:57:40 - mmengine - INFO - Epoch(train) [40][3140/3757] lr: 1.000e-02 eta: 16:39:52 time: 0.199 data_time: 0.015 memory: 5148 grad_norm: 6.3486 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1314 loss: 2.1314 2022/06/28 04:57:45 - mmengine - INFO - Epoch(train) [40][3160/3757] lr: 1.000e-02 eta: 16:39:46 time: 0.205 data_time: 0.012 memory: 5148 grad_norm: 5.7241 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9691 loss: 1.9691 2022/06/28 04:57:51 - mmengine - INFO - Epoch(train) [40][3180/3757] lr: 1.000e-02 eta: 16:39:42 time: 0.215 data_time: 0.034 memory: 5148 grad_norm: 5.3823 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9379 loss: 1.9379 2022/06/28 04:57:56 - mmengine - INFO - Epoch(train) [40][3200/3757] lr: 1.000e-02 eta: 16:39:37 time: 0.199 data_time: 0.015 memory: 5148 grad_norm: 6.0791 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0612 loss: 2.0612 2022/06/28 04:58:01 - mmengine - INFO - Epoch(train) [40][3220/3757] lr: 1.000e-02 eta: 16:39:31 time: 0.223 data_time: 0.006 memory: 5148 grad_norm: 5.2904 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7653 loss: 2.7653 2022/06/28 04:58:07 - mmengine - INFO - Epoch(train) [40][3240/3757] lr: 1.000e-02 eta: 16:39:26 time: 0.204 data_time: 0.018 memory: 5148 grad_norm: 5.4602 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0146 loss: 2.0146 2022/06/28 04:58:12 - mmengine - INFO - Epoch(train) [40][3260/3757] lr: 1.000e-02 eta: 16:39:20 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.3553 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9039 loss: 1.9039 2022/06/28 04:58:16 - mmengine - INFO - Epoch(train) [40][3280/3757] lr: 1.000e-02 eta: 16:39:14 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 5.1519 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0546 loss: 2.0546 2022/06/28 04:58:22 - mmengine - INFO - Epoch(train) [40][3300/3757] lr: 1.000e-02 eta: 16:39:09 time: 0.222 data_time: 0.018 memory: 5148 grad_norm: 5.6123 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1011 loss: 2.1011 2022/06/28 04:58:28 - mmengine - INFO - Epoch(train) [40][3320/3757] lr: 1.000e-02 eta: 16:39:05 time: 0.343 data_time: 0.018 memory: 5148 grad_norm: 5.2974 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1625 loss: 2.1625 2022/06/28 04:58:32 - mmengine - INFO - Epoch(train) [40][3340/3757] lr: 1.000e-02 eta: 16:38:58 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 5.9482 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5385 loss: 2.5385 2022/06/28 04:58:38 - mmengine - INFO - Epoch(train) [40][3360/3757] lr: 1.000e-02 eta: 16:38:53 time: 0.219 data_time: 0.008 memory: 5148 grad_norm: 5.8797 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3325 loss: 2.3325 2022/06/28 04:58:43 - mmengine - INFO - Epoch(train) [40][3380/3757] lr: 1.000e-02 eta: 16:38:48 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 5.4282 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3975 loss: 2.3975 2022/06/28 04:58:48 - mmengine - INFO - Epoch(train) [40][3400/3757] lr: 1.000e-02 eta: 16:38:42 time: 0.263 data_time: 0.031 memory: 5148 grad_norm: 5.8984 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.2467 loss: 2.2467 2022/06/28 04:58:54 - mmengine - INFO - Epoch(train) [40][3420/3757] lr: 1.000e-02 eta: 16:38:37 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 5.5938 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1571 loss: 2.1571 2022/06/28 04:58:59 - mmengine - INFO - Epoch(train) [40][3440/3757] lr: 1.000e-02 eta: 16:38:32 time: 0.207 data_time: 0.022 memory: 5148 grad_norm: 5.0816 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6804 loss: 2.6804 2022/06/28 04:59:04 - mmengine - INFO - Epoch(train) [40][3460/3757] lr: 1.000e-02 eta: 16:38:26 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 6.2161 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9215 loss: 1.9215 2022/06/28 04:59:10 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 04:59:11 - mmengine - INFO - Epoch(train) [40][3480/3757] lr: 1.000e-02 eta: 16:38:23 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.9308 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2372 loss: 2.2372 2022/06/28 04:59:16 - mmengine - INFO - Epoch(train) [40][3500/3757] lr: 1.000e-02 eta: 16:38:17 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.6322 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0892 loss: 2.0892 2022/06/28 04:59:21 - mmengine - INFO - Epoch(train) [40][3520/3757] lr: 1.000e-02 eta: 16:38:12 time: 0.215 data_time: 0.011 memory: 5148 grad_norm: 5.4913 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9706 loss: 1.9706 2022/06/28 04:59:26 - mmengine - INFO - Epoch(train) [40][3540/3757] lr: 1.000e-02 eta: 16:38:06 time: 0.196 data_time: 0.016 memory: 5148 grad_norm: 5.1255 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0157 loss: 2.0157 2022/06/28 04:59:32 - mmengine - INFO - Epoch(train) [40][3560/3757] lr: 1.000e-02 eta: 16:38:01 time: 0.194 data_time: 0.006 memory: 5148 grad_norm: 5.7961 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.6941 loss: 1.6941 2022/06/28 04:59:36 - mmengine - INFO - Epoch(train) [40][3580/3757] lr: 1.000e-02 eta: 16:37:55 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 5.7455 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2752 loss: 2.2752 2022/06/28 04:59:42 - mmengine - INFO - Epoch(train) [40][3600/3757] lr: 1.000e-02 eta: 16:37:50 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 5.1414 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1919 loss: 2.1919 2022/06/28 04:59:48 - mmengine - INFO - Epoch(train) [40][3620/3757] lr: 1.000e-02 eta: 16:37:46 time: 0.289 data_time: 0.014 memory: 5148 grad_norm: 4.8124 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7895 loss: 1.7895 2022/06/28 04:59:53 - mmengine - INFO - Epoch(train) [40][3640/3757] lr: 1.000e-02 eta: 16:37:39 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 5.5563 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0293 loss: 2.0293 2022/06/28 04:59:58 - mmengine - INFO - Epoch(train) [40][3660/3757] lr: 1.000e-02 eta: 16:37:35 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 6.0881 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1303 loss: 2.1303 2022/06/28 05:00:04 - mmengine - INFO - Epoch(train) [40][3680/3757] lr: 1.000e-02 eta: 16:37:30 time: 0.204 data_time: 0.012 memory: 5148 grad_norm: 5.3360 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0771 loss: 2.0771 2022/06/28 05:00:09 - mmengine - INFO - Epoch(train) [40][3700/3757] lr: 1.000e-02 eta: 16:37:24 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 5.7889 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1429 loss: 2.1429 2022/06/28 05:00:14 - mmengine - INFO - Epoch(train) [40][3720/3757] lr: 1.000e-02 eta: 16:37:18 time: 0.197 data_time: 0.014 memory: 5148 grad_norm: 5.4933 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5606 loss: 1.5606 2022/06/28 05:00:19 - mmengine - INFO - Epoch(train) [40][3740/3757] lr: 1.000e-02 eta: 16:37:12 time: 0.201 data_time: 0.014 memory: 5148 grad_norm: 7.2097 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1372 loss: 2.1372 2022/06/28 05:00:22 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 05:00:22 - mmengine - INFO - Saving checkpoint at 40 epochs 2022/06/28 05:00:31 - mmengine - INFO - Epoch(val) [40][20/310] eta: 0:01:13 time: 0.259 data_time: 0.181 memory: 5148 2022/06/28 05:00:35 - mmengine - INFO - Epoch(val) [40][40/310] eta: 0:01:00 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 05:00:41 - mmengine - INFO - Epoch(val) [40][60/310] eta: 0:00:56 time: 0.343 data_time: 0.262 memory: 1367 2022/06/28 05:00:46 - mmengine - INFO - Epoch(val) [40][80/310] eta: 0:00:54 time: 0.083 data_time: 0.008 memory: 1367 2022/06/28 05:00:52 - mmengine - INFO - Epoch(val) [40][100/310] eta: 0:00:49 time: 0.314 data_time: 0.230 memory: 1367 2022/06/28 05:00:57 - mmengine - INFO - Epoch(val) [40][120/310] eta: 0:00:52 time: 0.570 data_time: 0.498 memory: 1367 2022/06/28 05:01:03 - mmengine - INFO - Epoch(val) [40][140/310] eta: 0:00:48 time: 0.554 data_time: 0.473 memory: 1367 2022/06/28 05:01:08 - mmengine - INFO - Epoch(val) [40][160/310] eta: 0:00:42 time: 0.668 data_time: 0.591 memory: 1367 2022/06/28 05:01:14 - mmengine - INFO - Epoch(val) [40][180/310] eta: 0:00:44 time: 1.116 data_time: 1.036 memory: 1367 2022/06/28 05:01:18 - mmengine - INFO - Epoch(val) [40][200/310] eta: 0:00:26 time: 0.089 data_time: 0.015 memory: 1367 2022/06/28 05:01:24 - mmengine - INFO - Epoch(val) [40][220/310] eta: 0:00:30 time: 0.407 data_time: 0.333 memory: 1367 2022/06/28 05:01:28 - mmengine - INFO - Epoch(val) [40][240/310] eta: 0:00:14 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 05:01:34 - mmengine - INFO - Epoch(val) [40][260/310] eta: 0:00:17 time: 0.085 data_time: 0.009 memory: 1367 2022/06/28 05:01:39 - mmengine - INFO - Epoch(val) [40][280/310] eta: 0:00:07 time: 0.083 data_time: 0.011 memory: 1367 2022/06/28 05:01:44 - mmengine - INFO - Epoch(val) [40][300/310] eta: 0:00:02 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 05:01:47 - mmengine - INFO - Epoch(val) [40][310/310] acc/top1: 0.5682 acc/top5: 0.8065 acc/mean1: 0.5681 2022/06/28 05:01:55 - mmengine - INFO - Epoch(train) [41][20/3757] lr: 1.000e-03 eta: 16:37:03 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.5857 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7733 loss: 1.7733 2022/06/28 05:02:01 - mmengine - INFO - Epoch(train) [41][40/3757] lr: 1.000e-03 eta: 16:36:58 time: 0.206 data_time: 0.016 memory: 5148 grad_norm: 6.0565 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8439 loss: 1.8439 2022/06/28 05:02:05 - mmengine - INFO - Epoch(train) [41][60/3757] lr: 1.000e-03 eta: 16:36:52 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.2737 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3239 loss: 2.3239 2022/06/28 05:02:11 - mmengine - INFO - Epoch(train) [41][80/3757] lr: 1.000e-03 eta: 16:36:47 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 4.5542 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9267 loss: 1.9267 2022/06/28 05:02:18 - mmengine - INFO - Epoch(train) [41][100/3757] lr: 1.000e-03 eta: 16:36:44 time: 0.196 data_time: 0.015 memory: 5148 grad_norm: 5.0930 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0869 loss: 2.0869 2022/06/28 05:02:22 - mmengine - INFO - Epoch(train) [41][120/3757] lr: 1.000e-03 eta: 16:36:38 time: 0.193 data_time: 0.006 memory: 5148 grad_norm: 4.7839 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1177 loss: 2.1177 2022/06/28 05:02:28 - mmengine - INFO - Epoch(train) [41][140/3757] lr: 1.000e-03 eta: 16:36:32 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.5668 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7162 loss: 1.7162 2022/06/28 05:02:34 - mmengine - INFO - Epoch(train) [41][160/3757] lr: 1.000e-03 eta: 16:36:28 time: 0.202 data_time: 0.016 memory: 5148 grad_norm: 4.7744 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0364 loss: 2.0364 2022/06/28 05:02:39 - mmengine - INFO - Epoch(train) [41][180/3757] lr: 1.000e-03 eta: 16:36:22 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 5.6076 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2466 loss: 2.2466 2022/06/28 05:02:44 - mmengine - INFO - Epoch(train) [41][200/3757] lr: 1.000e-03 eta: 16:36:17 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 6.2070 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6229 loss: 1.6229 2022/06/28 05:02:50 - mmengine - INFO - Epoch(train) [41][220/3757] lr: 1.000e-03 eta: 16:36:12 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 4.5709 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6923 loss: 1.6923 2022/06/28 05:02:54 - mmengine - INFO - Epoch(train) [41][240/3757] lr: 1.000e-03 eta: 16:36:06 time: 0.200 data_time: 0.016 memory: 5148 grad_norm: 4.7907 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5048 loss: 1.5048 2022/06/28 05:03:01 - mmengine - INFO - Epoch(train) [41][260/3757] lr: 1.000e-03 eta: 16:36:02 time: 0.236 data_time: 0.007 memory: 5148 grad_norm: 5.2402 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4320 loss: 1.4320 2022/06/28 05:03:05 - mmengine - INFO - Epoch(train) [41][280/3757] lr: 1.000e-03 eta: 16:35:56 time: 0.211 data_time: 0.014 memory: 5148 grad_norm: 5.5612 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3969 loss: 1.3969 2022/06/28 05:03:10 - mmengine - INFO - Epoch(train) [41][300/3757] lr: 1.000e-03 eta: 16:35:50 time: 0.219 data_time: 0.013 memory: 5148 grad_norm: 6.0305 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7207 loss: 1.7207 2022/06/28 05:03:16 - mmengine - INFO - Epoch(train) [41][320/3757] lr: 1.000e-03 eta: 16:35:46 time: 0.200 data_time: 0.017 memory: 5148 grad_norm: 5.6991 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4586 loss: 1.4586 2022/06/28 05:03:22 - mmengine - INFO - Epoch(train) [41][340/3757] lr: 1.000e-03 eta: 16:35:41 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 5.5171 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9428 loss: 1.9428 2022/06/28 05:03:26 - mmengine - INFO - Epoch(train) [41][360/3757] lr: 1.000e-03 eta: 16:35:34 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 5.5464 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0394 loss: 2.0394 2022/06/28 05:03:32 - mmengine - INFO - Epoch(train) [41][380/3757] lr: 1.000e-03 eta: 16:35:29 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 5.3674 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9277 loss: 1.9277 2022/06/28 05:03:37 - mmengine - INFO - Epoch(train) [41][400/3757] lr: 1.000e-03 eta: 16:35:24 time: 0.220 data_time: 0.007 memory: 5148 grad_norm: 5.1394 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5503 loss: 1.5503 2022/06/28 05:03:42 - mmengine - INFO - Epoch(train) [41][420/3757] lr: 1.000e-03 eta: 16:35:17 time: 0.203 data_time: 0.014 memory: 5148 grad_norm: 6.5979 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8481 loss: 1.8481 2022/06/28 05:03:47 - mmengine - INFO - Epoch(train) [41][440/3757] lr: 1.000e-03 eta: 16:35:12 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.6473 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.8094 loss: 1.8094 2022/06/28 05:03:53 - mmengine - INFO - Epoch(train) [41][460/3757] lr: 1.000e-03 eta: 16:35:07 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.8312 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6149 loss: 1.6149 2022/06/28 05:03:58 - mmengine - INFO - Epoch(train) [41][480/3757] lr: 1.000e-03 eta: 16:35:02 time: 0.201 data_time: 0.016 memory: 5148 grad_norm: 5.5240 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5726 loss: 1.5726 2022/06/28 05:04:03 - mmengine - INFO - Epoch(train) [41][500/3757] lr: 1.000e-03 eta: 16:34:57 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.6025 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9080 loss: 1.9080 2022/06/28 05:04:08 - mmengine - INFO - Epoch(train) [41][520/3757] lr: 1.000e-03 eta: 16:34:51 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 5.0641 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8455 loss: 1.8455 2022/06/28 05:04:14 - mmengine - INFO - Epoch(train) [41][540/3757] lr: 1.000e-03 eta: 16:34:46 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 6.0677 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9122 loss: 1.9122 2022/06/28 05:04:19 - mmengine - INFO - Epoch(train) [41][560/3757] lr: 1.000e-03 eta: 16:34:41 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 4.4891 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6814 loss: 1.6814 2022/06/28 05:04:25 - mmengine - INFO - Epoch(train) [41][580/3757] lr: 1.000e-03 eta: 16:34:36 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 5.4443 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.8685 loss: 1.8685 2022/06/28 05:04:31 - mmengine - INFO - Epoch(train) [41][600/3757] lr: 1.000e-03 eta: 16:34:31 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 5.8360 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3121 loss: 1.3121 2022/06/28 05:04:35 - mmengine - INFO - Epoch(train) [41][620/3757] lr: 1.000e-03 eta: 16:34:25 time: 0.207 data_time: 0.006 memory: 5148 grad_norm: 5.4748 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7162 loss: 1.7162 2022/06/28 05:04:41 - mmengine - INFO - Epoch(train) [41][640/3757] lr: 1.000e-03 eta: 16:34:20 time: 0.187 data_time: 0.007 memory: 5148 grad_norm: 5.1080 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7117 loss: 1.7117 2022/06/28 05:04:47 - mmengine - INFO - Epoch(train) [41][660/3757] lr: 1.000e-03 eta: 16:34:15 time: 0.212 data_time: 0.010 memory: 5148 grad_norm: 5.6740 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4925 loss: 1.4925 2022/06/28 05:04:51 - mmengine - INFO - Epoch(train) [41][680/3757] lr: 1.000e-03 eta: 16:34:09 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 4.8699 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8289 loss: 1.8289 2022/06/28 05:04:57 - mmengine - INFO - Epoch(train) [41][700/3757] lr: 1.000e-03 eta: 16:34:05 time: 0.217 data_time: 0.006 memory: 5148 grad_norm: 4.9517 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7889 loss: 1.7889 2022/06/28 05:05:03 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 05:05:03 - mmengine - INFO - Epoch(train) [41][720/3757] lr: 1.000e-03 eta: 16:34:00 time: 0.199 data_time: 0.009 memory: 5148 grad_norm: 4.7891 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6521 loss: 1.6521 2022/06/28 05:05:08 - mmengine - INFO - Epoch(train) [41][740/3757] lr: 1.000e-03 eta: 16:33:54 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 4.9704 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5105 loss: 1.5105 2022/06/28 05:05:13 - mmengine - INFO - Epoch(train) [41][760/3757] lr: 1.000e-03 eta: 16:33:49 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 5.0132 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8790 loss: 1.8790 2022/06/28 05:05:19 - mmengine - INFO - Epoch(train) [41][780/3757] lr: 1.000e-03 eta: 16:33:45 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 5.8485 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9550 loss: 1.9550 2022/06/28 05:05:24 - mmengine - INFO - Epoch(train) [41][800/3757] lr: 1.000e-03 eta: 16:33:38 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 5.6835 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7340 loss: 1.7340 2022/06/28 05:05:29 - mmengine - INFO - Epoch(train) [41][820/3757] lr: 1.000e-03 eta: 16:33:33 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.3356 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9602 loss: 1.9602 2022/06/28 05:05:35 - mmengine - INFO - Epoch(train) [41][840/3757] lr: 1.000e-03 eta: 16:33:28 time: 0.208 data_time: 0.009 memory: 5148 grad_norm: 5.6213 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7322 loss: 1.7322 2022/06/28 05:05:40 - mmengine - INFO - Epoch(train) [41][860/3757] lr: 1.000e-03 eta: 16:33:23 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.3442 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7033 loss: 1.7033 2022/06/28 05:05:45 - mmengine - INFO - Epoch(train) [41][880/3757] lr: 1.000e-03 eta: 16:33:17 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 5.2071 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.8530 loss: 1.8530 2022/06/28 05:05:51 - mmengine - INFO - Epoch(train) [41][900/3757] lr: 1.000e-03 eta: 16:33:13 time: 0.197 data_time: 0.012 memory: 5148 grad_norm: 5.5312 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2423 loss: 2.2423 2022/06/28 05:05:56 - mmengine - INFO - Epoch(train) [41][920/3757] lr: 1.000e-03 eta: 16:33:07 time: 0.189 data_time: 0.011 memory: 5148 grad_norm: 6.0246 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2961 loss: 1.2961 2022/06/28 05:06:02 - mmengine - INFO - Epoch(train) [41][940/3757] lr: 1.000e-03 eta: 16:33:02 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 6.0823 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5226 loss: 1.5226 2022/06/28 05:06:07 - mmengine - INFO - Epoch(train) [41][960/3757] lr: 1.000e-03 eta: 16:32:57 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 6.0247 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7843 loss: 1.7843 2022/06/28 05:06:12 - mmengine - INFO - Epoch(train) [41][980/3757] lr: 1.000e-03 eta: 16:32:51 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 5.1549 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6288 loss: 1.6288 2022/06/28 05:06:18 - mmengine - INFO - Epoch(train) [41][1000/3757] lr: 1.000e-03 eta: 16:32:46 time: 0.205 data_time: 0.017 memory: 5148 grad_norm: 5.1125 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5710 loss: 1.5710 2022/06/28 05:06:23 - mmengine - INFO - Epoch(train) [41][1020/3757] lr: 1.000e-03 eta: 16:32:41 time: 0.201 data_time: 0.013 memory: 5148 grad_norm: 5.6599 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6174 loss: 1.6174 2022/06/28 05:06:28 - mmengine - INFO - Epoch(train) [41][1040/3757] lr: 1.000e-03 eta: 16:32:35 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 5.1045 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0449 loss: 2.0449 2022/06/28 05:06:34 - mmengine - INFO - Epoch(train) [41][1060/3757] lr: 1.000e-03 eta: 16:32:30 time: 0.205 data_time: 0.006 memory: 5148 grad_norm: 5.1906 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3727 loss: 1.3727 2022/06/28 05:06:40 - mmengine - INFO - Epoch(train) [41][1080/3757] lr: 1.000e-03 eta: 16:32:27 time: 0.212 data_time: 0.016 memory: 5148 grad_norm: 6.1941 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0857 loss: 2.0857 2022/06/28 05:06:44 - mmengine - INFO - Epoch(train) [41][1100/3757] lr: 1.000e-03 eta: 16:32:20 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 5.1143 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6313 loss: 1.6313 2022/06/28 05:06:48 - mmengine - INFO - Epoch(train) [41][1120/3757] lr: 1.000e-03 eta: 16:32:13 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 4.6229 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2048 loss: 1.2048 2022/06/28 05:06:53 - mmengine - INFO - Epoch(train) [41][1140/3757] lr: 1.000e-03 eta: 16:32:06 time: 0.200 data_time: 0.009 memory: 5148 grad_norm: 5.2552 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6606 loss: 1.6606 2022/06/28 05:06:58 - mmengine - INFO - Epoch(train) [41][1160/3757] lr: 1.000e-03 eta: 16:32:01 time: 0.200 data_time: 0.016 memory: 5148 grad_norm: 5.0230 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9631 loss: 1.9631 2022/06/28 05:07:04 - mmengine - INFO - Epoch(train) [41][1180/3757] lr: 1.000e-03 eta: 16:31:57 time: 0.807 data_time: 0.009 memory: 5148 grad_norm: 5.5463 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5637 loss: 1.5637 2022/06/28 05:07:09 - mmengine - INFO - Epoch(train) [41][1200/3757] lr: 1.000e-03 eta: 16:31:51 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 4.5865 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7719 loss: 1.7719 2022/06/28 05:07:15 - mmengine - INFO - Epoch(train) [41][1220/3757] lr: 1.000e-03 eta: 16:31:46 time: 0.199 data_time: 0.013 memory: 5148 grad_norm: 5.8769 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7024 loss: 1.7024 2022/06/28 05:07:20 - mmengine - INFO - Epoch(train) [41][1240/3757] lr: 1.000e-03 eta: 16:31:41 time: 0.217 data_time: 0.014 memory: 5148 grad_norm: 5.3648 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8419 loss: 1.8419 2022/06/28 05:07:26 - mmengine - INFO - Epoch(train) [41][1260/3757] lr: 1.000e-03 eta: 16:31:36 time: 0.203 data_time: 0.019 memory: 5148 grad_norm: 5.5075 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.8365 loss: 1.8365 2022/06/28 05:07:31 - mmengine - INFO - Epoch(train) [41][1280/3757] lr: 1.000e-03 eta: 16:31:30 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 5.0586 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5180 loss: 1.5180 2022/06/28 05:07:37 - mmengine - INFO - Epoch(train) [41][1300/3757] lr: 1.000e-03 eta: 16:31:25 time: 0.212 data_time: 0.010 memory: 5148 grad_norm: 5.7496 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7643 loss: 1.7643 2022/06/28 05:07:42 - mmengine - INFO - Epoch(train) [41][1320/3757] lr: 1.000e-03 eta: 16:31:20 time: 0.398 data_time: 0.218 memory: 5148 grad_norm: 4.7839 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2688 loss: 2.2688 2022/06/28 05:07:48 - mmengine - INFO - Epoch(train) [41][1340/3757] lr: 1.000e-03 eta: 16:31:16 time: 0.202 data_time: 0.013 memory: 5148 grad_norm: 4.9476 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6205 loss: 1.6205 2022/06/28 05:07:54 - mmengine - INFO - Epoch(train) [41][1360/3757] lr: 1.000e-03 eta: 16:31:11 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 5.7705 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0108 loss: 2.0108 2022/06/28 05:07:58 - mmengine - INFO - Epoch(train) [41][1380/3757] lr: 1.000e-03 eta: 16:31:05 time: 0.351 data_time: 0.020 memory: 5148 grad_norm: 5.6169 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5919 loss: 1.5919 2022/06/28 05:08:04 - mmengine - INFO - Epoch(train) [41][1400/3757] lr: 1.000e-03 eta: 16:31:00 time: 0.199 data_time: 0.016 memory: 5148 grad_norm: 4.6809 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5603 loss: 1.5603 2022/06/28 05:08:10 - mmengine - INFO - Epoch(train) [41][1420/3757] lr: 1.000e-03 eta: 16:30:55 time: 0.194 data_time: 0.012 memory: 5148 grad_norm: 5.8475 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2958 loss: 1.2958 2022/06/28 05:08:15 - mmengine - INFO - Epoch(train) [41][1440/3757] lr: 1.000e-03 eta: 16:30:49 time: 0.372 data_time: 0.016 memory: 5148 grad_norm: 5.0187 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3687 loss: 1.3687 2022/06/28 05:08:21 - mmengine - INFO - Epoch(train) [41][1460/3757] lr: 1.000e-03 eta: 16:30:45 time: 0.201 data_time: 0.021 memory: 5148 grad_norm: 7.2761 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6908 loss: 1.6908 2022/06/28 05:08:25 - mmengine - INFO - Epoch(train) [41][1480/3757] lr: 1.000e-03 eta: 16:30:38 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 4.9409 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6212 loss: 1.6212 2022/06/28 05:08:30 - mmengine - INFO - Epoch(train) [41][1500/3757] lr: 1.000e-03 eta: 16:30:32 time: 0.274 data_time: 0.012 memory: 5148 grad_norm: 5.4721 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6647 loss: 1.6647 2022/06/28 05:08:35 - mmengine - INFO - Epoch(train) [41][1520/3757] lr: 1.000e-03 eta: 16:30:27 time: 0.198 data_time: 0.017 memory: 5148 grad_norm: 4.7550 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9543 loss: 1.9543 2022/06/28 05:08:41 - mmengine - INFO - Epoch(train) [41][1540/3757] lr: 1.000e-03 eta: 16:30:22 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 5.3545 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5825 loss: 1.5825 2022/06/28 05:08:47 - mmengine - INFO - Epoch(train) [41][1560/3757] lr: 1.000e-03 eta: 16:30:17 time: 0.266 data_time: 0.014 memory: 5148 grad_norm: 5.4386 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6318 loss: 1.6318 2022/06/28 05:08:52 - mmengine - INFO - Epoch(train) [41][1580/3757] lr: 1.000e-03 eta: 16:30:12 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.5451 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6257 loss: 1.6257 2022/06/28 05:08:57 - mmengine - INFO - Epoch(train) [41][1600/3757] lr: 1.000e-03 eta: 16:30:07 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 5.6604 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8175 loss: 1.8175 2022/06/28 05:09:03 - mmengine - INFO - Epoch(train) [41][1620/3757] lr: 1.000e-03 eta: 16:30:02 time: 0.259 data_time: 0.010 memory: 5148 grad_norm: 5.6151 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6903 loss: 1.6903 2022/06/28 05:09:07 - mmengine - INFO - Epoch(train) [41][1640/3757] lr: 1.000e-03 eta: 16:29:56 time: 0.193 data_time: 0.015 memory: 5148 grad_norm: 5.8867 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3982 loss: 1.3982 2022/06/28 05:09:13 - mmengine - INFO - Epoch(train) [41][1660/3757] lr: 1.000e-03 eta: 16:29:51 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.0180 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7458 loss: 1.7458 2022/06/28 05:09:19 - mmengine - INFO - Epoch(train) [41][1680/3757] lr: 1.000e-03 eta: 16:29:46 time: 0.567 data_time: 0.007 memory: 5148 grad_norm: 5.5759 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7006 loss: 1.7006 2022/06/28 05:09:24 - mmengine - INFO - Epoch(train) [41][1700/3757] lr: 1.000e-03 eta: 16:29:40 time: 0.209 data_time: 0.010 memory: 5148 grad_norm: 5.0349 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8162 loss: 1.8162 2022/06/28 05:09:29 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 05:09:29 - mmengine - INFO - Epoch(train) [41][1720/3757] lr: 1.000e-03 eta: 16:29:35 time: 0.194 data_time: 0.011 memory: 5148 grad_norm: 6.0701 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.5153 loss: 1.5153 2022/06/28 05:09:35 - mmengine - INFO - Epoch(train) [41][1740/3757] lr: 1.000e-03 eta: 16:29:31 time: 0.243 data_time: 0.013 memory: 5148 grad_norm: 4.9851 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2951 loss: 1.2951 2022/06/28 05:09:40 - mmengine - INFO - Epoch(train) [41][1760/3757] lr: 1.000e-03 eta: 16:29:25 time: 0.226 data_time: 0.006 memory: 5148 grad_norm: 4.9812 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3400 loss: 2.3400 2022/06/28 05:09:46 - mmengine - INFO - Epoch(train) [41][1780/3757] lr: 1.000e-03 eta: 16:29:20 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 5.6964 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9322 loss: 1.9322 2022/06/28 05:09:51 - mmengine - INFO - Epoch(train) [41][1800/3757] lr: 1.000e-03 eta: 16:29:14 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 5.3780 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6768 loss: 1.6768 2022/06/28 05:09:56 - mmengine - INFO - Epoch(train) [41][1820/3757] lr: 1.000e-03 eta: 16:29:08 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.5821 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6448 loss: 1.6448 2022/06/28 05:10:01 - mmengine - INFO - Epoch(train) [41][1840/3757] lr: 1.000e-03 eta: 16:29:04 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.5625 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6398 loss: 1.6398 2022/06/28 05:10:08 - mmengine - INFO - Epoch(train) [41][1860/3757] lr: 1.000e-03 eta: 16:29:00 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 6.3773 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6136 loss: 1.6136 2022/06/28 05:10:12 - mmengine - INFO - Epoch(train) [41][1880/3757] lr: 1.000e-03 eta: 16:28:53 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 5.3768 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2315 loss: 1.2315 2022/06/28 05:10:17 - mmengine - INFO - Epoch(train) [41][1900/3757] lr: 1.000e-03 eta: 16:28:48 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 6.0326 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5689 loss: 2.5689 2022/06/28 05:10:23 - mmengine - INFO - Epoch(train) [41][1920/3757] lr: 1.000e-03 eta: 16:28:42 time: 0.203 data_time: 0.021 memory: 5148 grad_norm: 4.5897 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7034 loss: 1.7034 2022/06/28 05:10:28 - mmengine - INFO - Epoch(train) [41][1940/3757] lr: 1.000e-03 eta: 16:28:37 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 5.6753 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4612 loss: 1.4612 2022/06/28 05:10:34 - mmengine - INFO - Epoch(train) [41][1960/3757] lr: 1.000e-03 eta: 16:28:32 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.0992 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8920 loss: 1.8920 2022/06/28 05:10:40 - mmengine - INFO - Epoch(train) [41][1980/3757] lr: 1.000e-03 eta: 16:28:29 time: 0.209 data_time: 0.028 memory: 5148 grad_norm: 5.6778 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7659 loss: 1.7659 2022/06/28 05:10:44 - mmengine - INFO - Epoch(train) [41][2000/3757] lr: 1.000e-03 eta: 16:28:22 time: 0.196 data_time: 0.014 memory: 5148 grad_norm: 4.8822 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6828 loss: 1.6828 2022/06/28 05:10:49 - mmengine - INFO - Epoch(train) [41][2020/3757] lr: 1.000e-03 eta: 16:28:16 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 5.8243 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4107 loss: 1.4107 2022/06/28 05:10:55 - mmengine - INFO - Epoch(train) [41][2040/3757] lr: 1.000e-03 eta: 16:28:11 time: 0.197 data_time: 0.014 memory: 5148 grad_norm: 6.5073 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.2873 loss: 1.2873 2022/06/28 05:11:00 - mmengine - INFO - Epoch(train) [41][2060/3757] lr: 1.000e-03 eta: 16:28:06 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 5.7386 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6518 loss: 1.6518 2022/06/28 05:11:05 - mmengine - INFO - Epoch(train) [41][2080/3757] lr: 1.000e-03 eta: 16:28:00 time: 0.205 data_time: 0.018 memory: 5148 grad_norm: 5.3868 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9389 loss: 1.9389 2022/06/28 05:11:10 - mmengine - INFO - Epoch(train) [41][2100/3757] lr: 1.000e-03 eta: 16:27:55 time: 0.205 data_time: 0.006 memory: 5148 grad_norm: 5.8343 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0430 loss: 2.0430 2022/06/28 05:11:16 - mmengine - INFO - Epoch(train) [41][2120/3757] lr: 1.000e-03 eta: 16:27:49 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 4.5197 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7821 loss: 1.7821 2022/06/28 05:11:21 - mmengine - INFO - Epoch(train) [41][2140/3757] lr: 1.000e-03 eta: 16:27:44 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 7.0249 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8423 loss: 1.8423 2022/06/28 05:11:26 - mmengine - INFO - Epoch(train) [41][2160/3757] lr: 1.000e-03 eta: 16:27:39 time: 0.195 data_time: 0.006 memory: 5148 grad_norm: 6.0246 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5183 loss: 1.5183 2022/06/28 05:11:32 - mmengine - INFO - Epoch(train) [41][2180/3757] lr: 1.000e-03 eta: 16:27:33 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.0339 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7823 loss: 1.7823 2022/06/28 05:11:37 - mmengine - INFO - Epoch(train) [41][2200/3757] lr: 1.000e-03 eta: 16:27:28 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 4.5557 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7296 loss: 1.7296 2022/06/28 05:11:43 - mmengine - INFO - Epoch(train) [41][2220/3757] lr: 1.000e-03 eta: 16:27:24 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.9211 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4087 loss: 1.4087 2022/06/28 05:11:47 - mmengine - INFO - Epoch(train) [41][2240/3757] lr: 1.000e-03 eta: 16:27:17 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.5574 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4628 loss: 1.4628 2022/06/28 05:11:53 - mmengine - INFO - Epoch(train) [41][2260/3757] lr: 1.000e-03 eta: 16:27:13 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 5.4041 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.8701 loss: 1.8701 2022/06/28 05:11:59 - mmengine - INFO - Epoch(train) [41][2280/3757] lr: 1.000e-03 eta: 16:27:08 time: 0.283 data_time: 0.007 memory: 5148 grad_norm: 5.6955 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4417 loss: 1.4417 2022/06/28 05:12:04 - mmengine - INFO - Epoch(train) [41][2300/3757] lr: 1.000e-03 eta: 16:27:02 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 5.6984 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9293 loss: 1.9293 2022/06/28 05:12:10 - mmengine - INFO - Epoch(train) [41][2320/3757] lr: 1.000e-03 eta: 16:26:57 time: 0.199 data_time: 0.009 memory: 5148 grad_norm: 5.6775 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8549 loss: 1.8549 2022/06/28 05:12:15 - mmengine - INFO - Epoch(train) [41][2340/3757] lr: 1.000e-03 eta: 16:26:53 time: 0.207 data_time: 0.011 memory: 5148 grad_norm: 4.8912 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4663 loss: 1.4663 2022/06/28 05:12:21 - mmengine - INFO - Epoch(train) [41][2360/3757] lr: 1.000e-03 eta: 16:26:47 time: 0.196 data_time: 0.014 memory: 5148 grad_norm: 6.3560 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8013 loss: 1.8013 2022/06/28 05:12:26 - mmengine - INFO - Epoch(train) [41][2380/3757] lr: 1.000e-03 eta: 16:26:42 time: 0.217 data_time: 0.014 memory: 5148 grad_norm: 5.5193 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6284 loss: 1.6284 2022/06/28 05:12:31 - mmengine - INFO - Epoch(train) [41][2400/3757] lr: 1.000e-03 eta: 16:26:37 time: 0.222 data_time: 0.013 memory: 5148 grad_norm: 5.0519 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5021 loss: 1.5021 2022/06/28 05:12:36 - mmengine - INFO - Epoch(train) [41][2420/3757] lr: 1.000e-03 eta: 16:26:31 time: 0.210 data_time: 0.011 memory: 5148 grad_norm: 4.7935 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4305 loss: 1.4305 2022/06/28 05:12:42 - mmengine - INFO - Epoch(train) [41][2440/3757] lr: 1.000e-03 eta: 16:26:25 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 5.7967 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3932 loss: 1.3932 2022/06/28 05:12:48 - mmengine - INFO - Epoch(train) [41][2460/3757] lr: 1.000e-03 eta: 16:26:21 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 5.2790 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3390 loss: 1.3390 2022/06/28 05:12:52 - mmengine - INFO - Epoch(train) [41][2480/3757] lr: 1.000e-03 eta: 16:26:15 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 5.2028 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7301 loss: 1.7301 2022/06/28 05:12:58 - mmengine - INFO - Epoch(train) [41][2500/3757] lr: 1.000e-03 eta: 16:26:10 time: 0.200 data_time: 0.013 memory: 5148 grad_norm: 5.8738 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3710 loss: 1.3710 2022/06/28 05:13:03 - mmengine - INFO - Epoch(train) [41][2520/3757] lr: 1.000e-03 eta: 16:26:05 time: 0.207 data_time: 0.011 memory: 5148 grad_norm: 4.9005 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6226 loss: 1.6226 2022/06/28 05:13:07 - mmengine - INFO - Epoch(train) [41][2540/3757] lr: 1.000e-03 eta: 16:25:58 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 5.8907 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5961 loss: 1.5961 2022/06/28 05:13:12 - mmengine - INFO - Epoch(train) [41][2560/3757] lr: 1.000e-03 eta: 16:25:52 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 5.5829 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5174 loss: 1.5174 2022/06/28 05:13:18 - mmengine - INFO - Epoch(train) [41][2580/3757] lr: 1.000e-03 eta: 16:25:47 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 4.7850 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2700 loss: 1.2700 2022/06/28 05:13:23 - mmengine - INFO - Epoch(train) [41][2600/3757] lr: 1.000e-03 eta: 16:25:41 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 6.4848 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6377 loss: 1.6377 2022/06/28 05:13:29 - mmengine - INFO - Epoch(train) [41][2620/3757] lr: 1.000e-03 eta: 16:25:37 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 5.8226 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5102 loss: 1.5102 2022/06/28 05:13:34 - mmengine - INFO - Epoch(train) [41][2640/3757] lr: 1.000e-03 eta: 16:25:31 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 5.6848 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9579 loss: 1.9579 2022/06/28 05:13:39 - mmengine - INFO - Epoch(train) [41][2660/3757] lr: 1.000e-03 eta: 16:25:26 time: 0.325 data_time: 0.012 memory: 5148 grad_norm: 5.3401 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8684 loss: 1.8684 2022/06/28 05:13:45 - mmengine - INFO - Epoch(train) [41][2680/3757] lr: 1.000e-03 eta: 16:25:21 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.4789 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9464 loss: 1.9464 2022/06/28 05:13:50 - mmengine - INFO - Epoch(train) [41][2700/3757] lr: 1.000e-03 eta: 16:25:16 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 5.8868 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7229 loss: 1.7229 2022/06/28 05:13:56 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 05:13:56 - mmengine - INFO - Epoch(train) [41][2720/3757] lr: 1.000e-03 eta: 16:25:11 time: 0.991 data_time: 0.007 memory: 5148 grad_norm: 5.6761 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8740 loss: 1.8740 2022/06/28 05:14:01 - mmengine - INFO - Epoch(train) [41][2740/3757] lr: 1.000e-03 eta: 16:25:05 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 5.5676 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6731 loss: 1.6731 2022/06/28 05:14:06 - mmengine - INFO - Epoch(train) [41][2760/3757] lr: 1.000e-03 eta: 16:25:00 time: 0.455 data_time: 0.007 memory: 5148 grad_norm: 6.0447 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4280 loss: 1.4280 2022/06/28 05:14:12 - mmengine - INFO - Epoch(train) [41][2780/3757] lr: 1.000e-03 eta: 16:24:55 time: 0.591 data_time: 0.011 memory: 5148 grad_norm: 6.0186 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6987 loss: 1.6987 2022/06/28 05:14:17 - mmengine - INFO - Epoch(train) [41][2800/3757] lr: 1.000e-03 eta: 16:24:49 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 6.0331 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8159 loss: 1.8159 2022/06/28 05:14:23 - mmengine - INFO - Epoch(train) [41][2820/3757] lr: 1.000e-03 eta: 16:24:44 time: 0.202 data_time: 0.012 memory: 5148 grad_norm: 5.4288 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3625 loss: 1.3625 2022/06/28 05:14:27 - mmengine - INFO - Epoch(train) [41][2840/3757] lr: 1.000e-03 eta: 16:24:38 time: 0.210 data_time: 0.016 memory: 5148 grad_norm: 6.4278 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7636 loss: 1.7636 2022/06/28 05:14:33 - mmengine - INFO - Epoch(train) [41][2860/3757] lr: 1.000e-03 eta: 16:24:34 time: 0.196 data_time: 0.020 memory: 5148 grad_norm: 5.5141 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5343 loss: 1.5343 2022/06/28 05:14:39 - mmengine - INFO - Epoch(train) [41][2880/3757] lr: 1.000e-03 eta: 16:24:29 time: 0.203 data_time: 0.019 memory: 5148 grad_norm: 5.5491 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0696 loss: 2.0696 2022/06/28 05:14:43 - mmengine - INFO - Epoch(train) [41][2900/3757] lr: 1.000e-03 eta: 16:24:23 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.9186 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8111 loss: 1.8111 2022/06/28 05:14:49 - mmengine - INFO - Epoch(train) [41][2920/3757] lr: 1.000e-03 eta: 16:24:18 time: 0.208 data_time: 0.023 memory: 5148 grad_norm: 6.0284 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7956 loss: 1.7956 2022/06/28 05:14:54 - mmengine - INFO - Epoch(train) [41][2940/3757] lr: 1.000e-03 eta: 16:24:12 time: 0.219 data_time: 0.013 memory: 5148 grad_norm: 5.6687 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6460 loss: 1.6460 2022/06/28 05:15:00 - mmengine - INFO - Epoch(train) [41][2960/3757] lr: 1.000e-03 eta: 16:24:07 time: 0.527 data_time: 0.008 memory: 5148 grad_norm: 6.0811 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7414 loss: 1.7414 2022/06/28 05:15:05 - mmengine - INFO - Epoch(train) [41][2980/3757] lr: 1.000e-03 eta: 16:24:02 time: 0.200 data_time: 0.013 memory: 5148 grad_norm: 5.7104 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3124 loss: 1.3124 2022/06/28 05:15:11 - mmengine - INFO - Epoch(train) [41][3000/3757] lr: 1.000e-03 eta: 16:23:57 time: 0.201 data_time: 0.020 memory: 5148 grad_norm: 5.4636 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6584 loss: 1.6584 2022/06/28 05:15:16 - mmengine - INFO - Epoch(train) [41][3020/3757] lr: 1.000e-03 eta: 16:23:51 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 5.4394 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6462 loss: 1.6462 2022/06/28 05:15:22 - mmengine - INFO - Epoch(train) [41][3040/3757] lr: 1.000e-03 eta: 16:23:47 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 6.6707 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4671 loss: 1.4671 2022/06/28 05:15:27 - mmengine - INFO - Epoch(train) [41][3060/3757] lr: 1.000e-03 eta: 16:23:41 time: 0.204 data_time: 0.013 memory: 5148 grad_norm: 5.4048 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9097 loss: 1.9097 2022/06/28 05:15:33 - mmengine - INFO - Epoch(train) [41][3080/3757] lr: 1.000e-03 eta: 16:23:37 time: 1.029 data_time: 0.007 memory: 5148 grad_norm: 6.0665 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.4027 loss: 1.4027 2022/06/28 05:15:38 - mmengine - INFO - Epoch(train) [41][3100/3757] lr: 1.000e-03 eta: 16:23:31 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 5.2049 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6505 loss: 1.6505 2022/06/28 05:15:43 - mmengine - INFO - Epoch(train) [41][3120/3757] lr: 1.000e-03 eta: 16:23:26 time: 0.234 data_time: 0.022 memory: 5148 grad_norm: 6.4621 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6646 loss: 1.6646 2022/06/28 05:15:48 - mmengine - INFO - Epoch(train) [41][3140/3757] lr: 1.000e-03 eta: 16:23:20 time: 0.527 data_time: 0.006 memory: 5148 grad_norm: 4.9655 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7540 loss: 1.7540 2022/06/28 05:15:54 - mmengine - INFO - Epoch(train) [41][3160/3757] lr: 1.000e-03 eta: 16:23:15 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 5.9413 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5015 loss: 1.5015 2022/06/28 05:15:59 - mmengine - INFO - Epoch(train) [41][3180/3757] lr: 1.000e-03 eta: 16:23:10 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 4.2418 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3152 loss: 1.3152 2022/06/28 05:16:05 - mmengine - INFO - Epoch(train) [41][3200/3757] lr: 1.000e-03 eta: 16:23:05 time: 0.632 data_time: 0.007 memory: 5148 grad_norm: 6.1521 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6039 loss: 1.6039 2022/06/28 05:16:10 - mmengine - INFO - Epoch(train) [41][3220/3757] lr: 1.000e-03 eta: 16:22:59 time: 0.330 data_time: 0.007 memory: 5148 grad_norm: 5.5795 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5180 loss: 1.5180 2022/06/28 05:16:15 - mmengine - INFO - Epoch(train) [41][3240/3757] lr: 1.000e-03 eta: 16:22:54 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.4472 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6331 loss: 1.6331 2022/06/28 05:16:21 - mmengine - INFO - Epoch(train) [41][3260/3757] lr: 1.000e-03 eta: 16:22:49 time: 0.360 data_time: 0.007 memory: 5148 grad_norm: 5.2660 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9265 loss: 1.9265 2022/06/28 05:16:26 - mmengine - INFO - Epoch(train) [41][3280/3757] lr: 1.000e-03 eta: 16:22:44 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 4.8819 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3403 loss: 1.3403 2022/06/28 05:16:31 - mmengine - INFO - Epoch(train) [41][3300/3757] lr: 1.000e-03 eta: 16:22:39 time: 0.218 data_time: 0.037 memory: 5148 grad_norm: 5.8373 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3599 loss: 1.3599 2022/06/28 05:16:36 - mmengine - INFO - Epoch(train) [41][3320/3757] lr: 1.000e-03 eta: 16:22:33 time: 0.271 data_time: 0.008 memory: 5148 grad_norm: 6.2128 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4472 loss: 1.4472 2022/06/28 05:16:42 - mmengine - INFO - Epoch(train) [41][3340/3757] lr: 1.000e-03 eta: 16:22:27 time: 0.214 data_time: 0.010 memory: 5148 grad_norm: 5.8994 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4977 loss: 1.4977 2022/06/28 05:16:47 - mmengine - INFO - Epoch(train) [41][3360/3757] lr: 1.000e-03 eta: 16:22:23 time: 0.220 data_time: 0.011 memory: 5148 grad_norm: 6.2738 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6153 loss: 1.6153 2022/06/28 05:16:52 - mmengine - INFO - Epoch(train) [41][3380/3757] lr: 1.000e-03 eta: 16:22:17 time: 0.220 data_time: 0.007 memory: 5148 grad_norm: 5.2117 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8769 loss: 1.8769 2022/06/28 05:16:58 - mmengine - INFO - Epoch(train) [41][3400/3757] lr: 1.000e-03 eta: 16:22:12 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.1865 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5823 loss: 1.5823 2022/06/28 05:17:03 - mmengine - INFO - Epoch(train) [41][3420/3757] lr: 1.000e-03 eta: 16:22:07 time: 0.214 data_time: 0.009 memory: 5148 grad_norm: 5.6264 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4761 loss: 1.4761 2022/06/28 05:17:09 - mmengine - INFO - Epoch(train) [41][3440/3757] lr: 1.000e-03 eta: 16:22:01 time: 0.502 data_time: 0.016 memory: 5148 grad_norm: 5.5296 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8103 loss: 1.8103 2022/06/28 05:17:14 - mmengine - INFO - Epoch(train) [41][3460/3757] lr: 1.000e-03 eta: 16:21:56 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 6.5878 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6486 loss: 1.6486 2022/06/28 05:17:19 - mmengine - INFO - Epoch(train) [41][3480/3757] lr: 1.000e-03 eta: 16:21:51 time: 0.212 data_time: 0.009 memory: 5148 grad_norm: 4.4399 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1683 loss: 2.1683 2022/06/28 05:17:24 - mmengine - INFO - Epoch(train) [41][3500/3757] lr: 1.000e-03 eta: 16:21:45 time: 0.463 data_time: 0.009 memory: 5148 grad_norm: 6.3295 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5933 loss: 1.5933 2022/06/28 05:17:30 - mmengine - INFO - Epoch(train) [41][3520/3757] lr: 1.000e-03 eta: 16:21:40 time: 0.272 data_time: 0.007 memory: 5148 grad_norm: 6.0047 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8468 loss: 1.8468 2022/06/28 05:17:35 - mmengine - INFO - Epoch(train) [41][3540/3757] lr: 1.000e-03 eta: 16:21:35 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 5.5702 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1553 loss: 2.1553 2022/06/28 05:17:40 - mmengine - INFO - Epoch(train) [41][3560/3757] lr: 1.000e-03 eta: 16:21:29 time: 0.227 data_time: 0.007 memory: 5148 grad_norm: 4.8157 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5942 loss: 1.5942 2022/06/28 05:17:46 - mmengine - INFO - Epoch(train) [41][3580/3757] lr: 1.000e-03 eta: 16:21:25 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 5.5032 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6481 loss: 1.6481 2022/06/28 05:17:51 - mmengine - INFO - Epoch(train) [41][3600/3757] lr: 1.000e-03 eta: 16:21:19 time: 0.233 data_time: 0.012 memory: 5148 grad_norm: 5.6687 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7054 loss: 1.7054 2022/06/28 05:17:56 - mmengine - INFO - Epoch(train) [41][3620/3757] lr: 1.000e-03 eta: 16:21:13 time: 0.220 data_time: 0.007 memory: 5148 grad_norm: 5.4694 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6250 loss: 1.6250 2022/06/28 05:18:02 - mmengine - INFO - Epoch(train) [41][3640/3757] lr: 1.000e-03 eta: 16:21:09 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.8291 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7312 loss: 1.7312 2022/06/28 05:18:07 - mmengine - INFO - Epoch(train) [41][3660/3757] lr: 1.000e-03 eta: 16:21:03 time: 0.215 data_time: 0.017 memory: 5148 grad_norm: 6.4114 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5856 loss: 1.5856 2022/06/28 05:18:12 - mmengine - INFO - Epoch(train) [41][3680/3757] lr: 1.000e-03 eta: 16:20:57 time: 0.228 data_time: 0.006 memory: 5148 grad_norm: 4.7261 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1117 loss: 2.1117 2022/06/28 05:18:18 - mmengine - INFO - Epoch(train) [41][3700/3757] lr: 1.000e-03 eta: 16:20:53 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.4123 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0963 loss: 1.0963 2022/06/28 05:18:23 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 05:18:23 - mmengine - INFO - Epoch(train) [41][3720/3757] lr: 1.000e-03 eta: 16:20:47 time: 0.206 data_time: 0.021 memory: 5148 grad_norm: 4.7296 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7826 loss: 1.7826 2022/06/28 05:18:28 - mmengine - INFO - Epoch(train) [41][3740/3757] lr: 1.000e-03 eta: 16:20:41 time: 0.219 data_time: 0.009 memory: 5148 grad_norm: 5.0784 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9837 loss: 1.9837 2022/06/28 05:18:31 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 05:18:38 - mmengine - INFO - Epoch(val) [41][20/310] eta: 0:01:04 time: 0.085 data_time: 0.009 memory: 5148 2022/06/28 05:18:43 - mmengine - INFO - Epoch(val) [41][40/310] eta: 0:00:58 time: 0.082 data_time: 0.009 memory: 1367 2022/06/28 05:18:49 - mmengine - INFO - Epoch(val) [41][60/310] eta: 0:00:56 time: 0.081 data_time: 0.009 memory: 1367 2022/06/28 05:18:54 - mmengine - INFO - Epoch(val) [41][80/310] eta: 0:01:01 time: 0.248 data_time: 0.176 memory: 1367 2022/06/28 05:18:59 - mmengine - INFO - Epoch(val) [41][100/310] eta: 0:00:46 time: 0.083 data_time: 0.005 memory: 1367 2022/06/28 05:19:04 - mmengine - INFO - Epoch(val) [41][120/310] eta: 0:00:47 time: 0.615 data_time: 0.535 memory: 1367 2022/06/28 05:19:10 - mmengine - INFO - Epoch(val) [41][140/310] eta: 0:00:54 time: 1.010 data_time: 0.937 memory: 1367 2022/06/28 05:19:15 - mmengine - INFO - Epoch(val) [41][160/310] eta: 0:00:36 time: 0.370 data_time: 0.298 memory: 1367 2022/06/28 05:19:21 - mmengine - INFO - Epoch(val) [41][180/310] eta: 0:00:49 time: 1.057 data_time: 0.981 memory: 1367 2022/06/28 05:19:25 - mmengine - INFO - Epoch(val) [41][200/310] eta: 0:00:26 time: 0.094 data_time: 0.015 memory: 1367 2022/06/28 05:19:31 - mmengine - INFO - Epoch(val) [41][220/310] eta: 0:00:33 time: 0.116 data_time: 0.045 memory: 1367 2022/06/28 05:19:36 - mmengine - INFO - Epoch(val) [41][240/310] eta: 0:00:16 time: 0.085 data_time: 0.008 memory: 1367 2022/06/28 05:19:42 - mmengine - INFO - Epoch(val) [41][260/310] eta: 0:00:18 time: 0.172 data_time: 0.100 memory: 1367 2022/06/28 05:19:47 - mmengine - INFO - Epoch(val) [41][280/310] eta: 0:00:06 time: 0.080 data_time: 0.009 memory: 1367 2022/06/28 05:19:52 - mmengine - INFO - Epoch(val) [41][300/310] eta: 0:00:03 time: 0.440 data_time: 0.360 memory: 1367 2022/06/28 05:19:56 - mmengine - INFO - Epoch(val) [41][310/310] acc/top1: 0.6247 acc/top5: 0.8397 acc/mean1: 0.6246 2022/06/28 05:20:04 - mmengine - INFO - Epoch(train) [42][20/3757] lr: 1.000e-03 eta: 16:20:33 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 6.1124 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4888 loss: 1.4888 2022/06/28 05:20:11 - mmengine - INFO - Epoch(train) [42][40/3757] lr: 1.000e-03 eta: 16:20:30 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 6.1472 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2095 loss: 1.2095 2022/06/28 05:20:15 - mmengine - INFO - Epoch(train) [42][60/3757] lr: 1.000e-03 eta: 16:20:23 time: 0.205 data_time: 0.006 memory: 5148 grad_norm: 5.2370 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0206 loss: 2.0206 2022/06/28 05:20:22 - mmengine - INFO - Epoch(train) [42][80/3757] lr: 1.000e-03 eta: 16:20:19 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.6844 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6425 loss: 1.6425 2022/06/28 05:20:27 - mmengine - INFO - Epoch(train) [42][100/3757] lr: 1.000e-03 eta: 16:20:14 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 4.9722 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6227 loss: 1.6227 2022/06/28 05:20:32 - mmengine - INFO - Epoch(train) [42][120/3757] lr: 1.000e-03 eta: 16:20:07 time: 0.196 data_time: 0.006 memory: 5148 grad_norm: 5.5479 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6900 loss: 1.6900 2022/06/28 05:20:37 - mmengine - INFO - Epoch(train) [42][140/3757] lr: 1.000e-03 eta: 16:20:02 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 6.8041 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4921 loss: 1.4921 2022/06/28 05:20:43 - mmengine - INFO - Epoch(train) [42][160/3757] lr: 1.000e-03 eta: 16:19:57 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 5.5114 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5859 loss: 1.5859 2022/06/28 05:20:47 - mmengine - INFO - Epoch(train) [42][180/3757] lr: 1.000e-03 eta: 16:19:51 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.7674 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6954 loss: 1.6954 2022/06/28 05:20:53 - mmengine - INFO - Epoch(train) [42][200/3757] lr: 1.000e-03 eta: 16:19:46 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 5.9765 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9348 loss: 1.9348 2022/06/28 05:20:59 - mmengine - INFO - Epoch(train) [42][220/3757] lr: 1.000e-03 eta: 16:19:42 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 4.2389 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7102 loss: 1.7102 2022/06/28 05:21:04 - mmengine - INFO - Epoch(train) [42][240/3757] lr: 1.000e-03 eta: 16:19:36 time: 0.194 data_time: 0.006 memory: 5148 grad_norm: 5.5808 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5508 loss: 1.5508 2022/06/28 05:21:09 - mmengine - INFO - Epoch(train) [42][260/3757] lr: 1.000e-03 eta: 16:19:31 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 6.0744 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2519 loss: 1.2519 2022/06/28 05:21:15 - mmengine - INFO - Epoch(train) [42][280/3757] lr: 1.000e-03 eta: 16:19:26 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.3048 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6692 loss: 1.6692 2022/06/28 05:21:19 - mmengine - INFO - Epoch(train) [42][300/3757] lr: 1.000e-03 eta: 16:19:19 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.4961 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3728 loss: 1.3728 2022/06/28 05:21:25 - mmengine - INFO - Epoch(train) [42][320/3757] lr: 1.000e-03 eta: 16:19:15 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.6777 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4626 loss: 1.4626 2022/06/28 05:21:31 - mmengine - INFO - Epoch(train) [42][340/3757] lr: 1.000e-03 eta: 16:19:11 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.7559 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5309 loss: 1.5309 2022/06/28 05:21:35 - mmengine - INFO - Epoch(train) [42][360/3757] lr: 1.000e-03 eta: 16:19:04 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.1068 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6752 loss: 1.6752 2022/06/28 05:21:41 - mmengine - INFO - Epoch(train) [42][380/3757] lr: 1.000e-03 eta: 16:18:59 time: 0.229 data_time: 0.007 memory: 5148 grad_norm: 5.4707 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5863 loss: 1.5863 2022/06/28 05:21:47 - mmengine - INFO - Epoch(train) [42][400/3757] lr: 1.000e-03 eta: 16:18:55 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.0351 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5528 loss: 1.5528 2022/06/28 05:21:52 - mmengine - INFO - Epoch(train) [42][420/3757] lr: 1.000e-03 eta: 16:18:48 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.5958 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3336 loss: 1.3336 2022/06/28 05:21:57 - mmengine - INFO - Epoch(train) [42][440/3757] lr: 1.000e-03 eta: 16:18:43 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 5.0897 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6298 loss: 1.6298 2022/06/28 05:22:02 - mmengine - INFO - Epoch(train) [42][460/3757] lr: 1.000e-03 eta: 16:18:38 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 6.3004 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2098 loss: 1.2098 2022/06/28 05:22:07 - mmengine - INFO - Epoch(train) [42][480/3757] lr: 1.000e-03 eta: 16:18:32 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 5.8521 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2556 loss: 1.2556 2022/06/28 05:22:12 - mmengine - INFO - Epoch(train) [42][500/3757] lr: 1.000e-03 eta: 16:18:26 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 5.1854 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6351 loss: 1.6351 2022/06/28 05:22:18 - mmengine - INFO - Epoch(train) [42][520/3757] lr: 1.000e-03 eta: 16:18:21 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.1175 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7071 loss: 1.7071 2022/06/28 05:22:23 - mmengine - INFO - Epoch(train) [42][540/3757] lr: 1.000e-03 eta: 16:18:15 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 5.2390 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6800 loss: 1.6800 2022/06/28 05:22:28 - mmengine - INFO - Epoch(train) [42][560/3757] lr: 1.000e-03 eta: 16:18:10 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 5.0497 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9984 loss: 1.9984 2022/06/28 05:22:33 - mmengine - INFO - Epoch(train) [42][580/3757] lr: 1.000e-03 eta: 16:18:04 time: 0.191 data_time: 0.008 memory: 5148 grad_norm: 5.6641 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3328 loss: 1.3328 2022/06/28 05:22:39 - mmengine - INFO - Epoch(train) [42][600/3757] lr: 1.000e-03 eta: 16:17:59 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.1509 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8375 loss: 1.8375 2022/06/28 05:22:45 - mmengine - INFO - Epoch(train) [42][620/3757] lr: 1.000e-03 eta: 16:17:55 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.1994 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9256 loss: 1.9256 2022/06/28 05:22:50 - mmengine - INFO - Epoch(train) [42][640/3757] lr: 1.000e-03 eta: 16:17:49 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 6.1267 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8141 loss: 1.8141 2022/06/28 05:22:56 - mmengine - INFO - Epoch(train) [42][660/3757] lr: 1.000e-03 eta: 16:17:44 time: 0.194 data_time: 0.012 memory: 5148 grad_norm: 5.5118 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5690 loss: 1.5690 2022/06/28 05:23:01 - mmengine - INFO - Epoch(train) [42][680/3757] lr: 1.000e-03 eta: 16:17:39 time: 0.209 data_time: 0.006 memory: 5148 grad_norm: 5.1389 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8866 loss: 1.8866 2022/06/28 05:23:06 - mmengine - INFO - Epoch(train) [42][700/3757] lr: 1.000e-03 eta: 16:17:33 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 5.1966 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3085 loss: 1.3085 2022/06/28 05:23:11 - mmengine - INFO - Epoch(train) [42][720/3757] lr: 1.000e-03 eta: 16:17:28 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 4.7270 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8908 loss: 1.8908 2022/06/28 05:23:17 - mmengine - INFO - Epoch(train) [42][740/3757] lr: 1.000e-03 eta: 16:17:24 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 5.2895 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6161 loss: 1.6161 2022/06/28 05:23:22 - mmengine - INFO - Epoch(train) [42][760/3757] lr: 1.000e-03 eta: 16:17:18 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 5.2529 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3632 loss: 1.3632 2022/06/28 05:23:28 - mmengine - INFO - Epoch(train) [42][780/3757] lr: 1.000e-03 eta: 16:17:13 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 5.2038 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5112 loss: 1.5112 2022/06/28 05:23:33 - mmengine - INFO - Epoch(train) [42][800/3757] lr: 1.000e-03 eta: 16:17:08 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.6304 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7722 loss: 1.7722 2022/06/28 05:23:38 - mmengine - INFO - Epoch(train) [42][820/3757] lr: 1.000e-03 eta: 16:17:02 time: 0.222 data_time: 0.007 memory: 5148 grad_norm: 5.5091 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5862 loss: 1.5862 2022/06/28 05:23:44 - mmengine - INFO - Epoch(train) [42][840/3757] lr: 1.000e-03 eta: 16:16:57 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 5.5374 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8763 loss: 1.8763 2022/06/28 05:23:49 - mmengine - INFO - Epoch(train) [42][860/3757] lr: 1.000e-03 eta: 16:16:52 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 4.5474 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6955 loss: 1.6955 2022/06/28 05:23:54 - mmengine - INFO - Epoch(train) [42][880/3757] lr: 1.000e-03 eta: 16:16:46 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 5.1214 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1986 loss: 1.1986 2022/06/28 05:23:59 - mmengine - INFO - Epoch(train) [42][900/3757] lr: 1.000e-03 eta: 16:16:41 time: 0.196 data_time: 0.014 memory: 5148 grad_norm: 6.4789 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.3295 loss: 1.3295 2022/06/28 05:24:05 - mmengine - INFO - Epoch(train) [42][920/3757] lr: 1.000e-03 eta: 16:16:37 time: 0.207 data_time: 0.006 memory: 5148 grad_norm: 5.5435 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0352 loss: 2.0352 2022/06/28 05:24:10 - mmengine - INFO - Epoch(train) [42][940/3757] lr: 1.000e-03 eta: 16:16:30 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.6140 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0035 loss: 2.0035 2022/06/28 05:24:15 - mmengine - INFO - Epoch(train) [42][960/3757] lr: 1.000e-03 eta: 16:16:25 time: 0.202 data_time: 0.016 memory: 5148 grad_norm: 5.8656 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5512 loss: 1.5512 2022/06/28 05:24:16 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 05:24:21 - mmengine - INFO - Epoch(train) [42][980/3757] lr: 1.000e-03 eta: 16:16:20 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.9849 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7122 loss: 1.7122 2022/06/28 05:24:26 - mmengine - INFO - Epoch(train) [42][1000/3757] lr: 1.000e-03 eta: 16:16:14 time: 0.210 data_time: 0.006 memory: 5148 grad_norm: 5.8549 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4000 loss: 1.4000 2022/06/28 05:24:32 - mmengine - INFO - Epoch(train) [42][1020/3757] lr: 1.000e-03 eta: 16:16:10 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 6.0922 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6708 loss: 1.6708 2022/06/28 05:24:37 - mmengine - INFO - Epoch(train) [42][1040/3757] lr: 1.000e-03 eta: 16:16:04 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.1869 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5216 loss: 1.5216 2022/06/28 05:24:42 - mmengine - INFO - Epoch(train) [42][1060/3757] lr: 1.000e-03 eta: 16:15:58 time: 0.211 data_time: 0.006 memory: 5148 grad_norm: 5.1922 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1434 loss: 1.1434 2022/06/28 05:24:47 - mmengine - INFO - Epoch(train) [42][1080/3757] lr: 1.000e-03 eta: 16:15:53 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.0932 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6209 loss: 1.6209 2022/06/28 05:24:53 - mmengine - INFO - Epoch(train) [42][1100/3757] lr: 1.000e-03 eta: 16:15:48 time: 0.279 data_time: 0.018 memory: 5148 grad_norm: 5.4233 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7048 loss: 1.7048 2022/06/28 05:24:58 - mmengine - INFO - Epoch(train) [42][1120/3757] lr: 1.000e-03 eta: 16:15:42 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 5.6067 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5821 loss: 1.5821 2022/06/28 05:25:04 - mmengine - INFO - Epoch(train) [42][1140/3757] lr: 1.000e-03 eta: 16:15:38 time: 0.205 data_time: 0.009 memory: 5148 grad_norm: 5.5349 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5884 loss: 1.5884 2022/06/28 05:25:09 - mmengine - INFO - Epoch(train) [42][1160/3757] lr: 1.000e-03 eta: 16:15:33 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 5.1055 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8091 loss: 1.8091 2022/06/28 05:25:14 - mmengine - INFO - Epoch(train) [42][1180/3757] lr: 1.000e-03 eta: 16:15:27 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 4.4518 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6717 loss: 1.6717 2022/06/28 05:25:20 - mmengine - INFO - Epoch(train) [42][1200/3757] lr: 1.000e-03 eta: 16:15:22 time: 0.205 data_time: 0.015 memory: 5148 grad_norm: 5.6690 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8047 loss: 1.8047 2022/06/28 05:25:25 - mmengine - INFO - Epoch(train) [42][1220/3757] lr: 1.000e-03 eta: 16:15:17 time: 0.223 data_time: 0.007 memory: 5148 grad_norm: 5.8636 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7837 loss: 1.7837 2022/06/28 05:25:30 - mmengine - INFO - Epoch(train) [42][1240/3757] lr: 1.000e-03 eta: 16:15:11 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 5.8192 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9716 loss: 1.9716 2022/06/28 05:25:36 - mmengine - INFO - Epoch(train) [42][1260/3757] lr: 1.000e-03 eta: 16:15:06 time: 0.207 data_time: 0.012 memory: 5148 grad_norm: 6.2237 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5848 loss: 1.5848 2022/06/28 05:25:42 - mmengine - INFO - Epoch(train) [42][1280/3757] lr: 1.000e-03 eta: 16:15:02 time: 0.460 data_time: 0.015 memory: 5148 grad_norm: 6.8386 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4271 loss: 1.4271 2022/06/28 05:25:47 - mmengine - INFO - Epoch(train) [42][1300/3757] lr: 1.000e-03 eta: 16:14:56 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 6.7277 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6662 loss: 1.6662 2022/06/28 05:25:52 - mmengine - INFO - Epoch(train) [42][1320/3757] lr: 1.000e-03 eta: 16:14:51 time: 0.198 data_time: 0.014 memory: 5148 grad_norm: 5.8947 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9225 loss: 1.9225 2022/06/28 05:25:58 - mmengine - INFO - Epoch(train) [42][1340/3757] lr: 1.000e-03 eta: 16:14:45 time: 0.742 data_time: 0.007 memory: 5148 grad_norm: 5.4160 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6719 loss: 1.6719 2022/06/28 05:26:02 - mmengine - INFO - Epoch(train) [42][1360/3757] lr: 1.000e-03 eta: 16:14:40 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.9932 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7048 loss: 1.7048 2022/06/28 05:26:08 - mmengine - INFO - Epoch(train) [42][1380/3757] lr: 1.000e-03 eta: 16:14:34 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 7.1461 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6523 loss: 1.6523 2022/06/28 05:26:13 - mmengine - INFO - Epoch(train) [42][1400/3757] lr: 1.000e-03 eta: 16:14:29 time: 0.387 data_time: 0.013 memory: 5148 grad_norm: 5.5089 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8543 loss: 1.8543 2022/06/28 05:26:19 - mmengine - INFO - Epoch(train) [42][1420/3757] lr: 1.000e-03 eta: 16:14:24 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.2006 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3588 loss: 1.3588 2022/06/28 05:26:24 - mmengine - INFO - Epoch(train) [42][1440/3757] lr: 1.000e-03 eta: 16:14:19 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 5.2712 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6553 loss: 1.6553 2022/06/28 05:26:29 - mmengine - INFO - Epoch(train) [42][1460/3757] lr: 1.000e-03 eta: 16:14:13 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 6.4031 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4803 loss: 1.4803 2022/06/28 05:26:35 - mmengine - INFO - Epoch(train) [42][1480/3757] lr: 1.000e-03 eta: 16:14:09 time: 0.238 data_time: 0.010 memory: 5148 grad_norm: 5.7758 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6743 loss: 1.6743 2022/06/28 05:26:41 - mmengine - INFO - Epoch(train) [42][1500/3757] lr: 1.000e-03 eta: 16:14:04 time: 0.206 data_time: 0.025 memory: 5148 grad_norm: 5.0826 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0094 loss: 2.0094 2022/06/28 05:26:45 - mmengine - INFO - Epoch(train) [42][1520/3757] lr: 1.000e-03 eta: 16:13:58 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.7113 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4216 loss: 1.4216 2022/06/28 05:26:51 - mmengine - INFO - Epoch(train) [42][1540/3757] lr: 1.000e-03 eta: 16:13:53 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 5.8654 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4359 loss: 1.4359 2022/06/28 05:26:57 - mmengine - INFO - Epoch(train) [42][1560/3757] lr: 1.000e-03 eta: 16:13:48 time: 0.208 data_time: 0.010 memory: 5148 grad_norm: 4.6449 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4370 loss: 1.4370 2022/06/28 05:27:02 - mmengine - INFO - Epoch(train) [42][1580/3757] lr: 1.000e-03 eta: 16:13:42 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.0356 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.4834 loss: 1.4834 2022/06/28 05:27:07 - mmengine - INFO - Epoch(train) [42][1600/3757] lr: 1.000e-03 eta: 16:13:36 time: 0.217 data_time: 0.016 memory: 5148 grad_norm: 5.5486 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2696 loss: 1.2696 2022/06/28 05:27:12 - mmengine - INFO - Epoch(train) [42][1620/3757] lr: 1.000e-03 eta: 16:13:31 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 4.4731 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3887 loss: 1.3887 2022/06/28 05:27:17 - mmengine - INFO - Epoch(train) [42][1640/3757] lr: 1.000e-03 eta: 16:13:25 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 5.4498 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0778 loss: 1.0778 2022/06/28 05:27:23 - mmengine - INFO - Epoch(train) [42][1660/3757] lr: 1.000e-03 eta: 16:13:21 time: 0.216 data_time: 0.027 memory: 5148 grad_norm: 5.1676 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8504 loss: 1.8504 2022/06/28 05:27:28 - mmengine - INFO - Epoch(train) [42][1680/3757] lr: 1.000e-03 eta: 16:13:15 time: 0.200 data_time: 0.014 memory: 5148 grad_norm: 5.8978 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8506 loss: 1.8506 2022/06/28 05:27:33 - mmengine - INFO - Epoch(train) [42][1700/3757] lr: 1.000e-03 eta: 16:13:09 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 5.3938 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6393 loss: 1.6393 2022/06/28 05:27:38 - mmengine - INFO - Epoch(train) [42][1720/3757] lr: 1.000e-03 eta: 16:13:04 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 6.1237 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4273 loss: 1.4273 2022/06/28 05:27:43 - mmengine - INFO - Epoch(train) [42][1740/3757] lr: 1.000e-03 eta: 16:12:59 time: 0.202 data_time: 0.016 memory: 5148 grad_norm: 6.5849 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.5224 loss: 1.5224 2022/06/28 05:27:49 - mmengine - INFO - Epoch(train) [42][1760/3757] lr: 1.000e-03 eta: 16:12:53 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 5.6414 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5094 loss: 1.5094 2022/06/28 05:27:55 - mmengine - INFO - Epoch(train) [42][1780/3757] lr: 1.000e-03 eta: 16:12:49 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 6.2273 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7321 loss: 1.7321 2022/06/28 05:28:01 - mmengine - INFO - Epoch(train) [42][1800/3757] lr: 1.000e-03 eta: 16:12:45 time: 0.408 data_time: 0.050 memory: 5148 grad_norm: 5.5167 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7117 loss: 1.7117 2022/06/28 05:28:05 - mmengine - INFO - Epoch(train) [42][1820/3757] lr: 1.000e-03 eta: 16:12:38 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 5.9062 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5530 loss: 1.5530 2022/06/28 05:28:10 - mmengine - INFO - Epoch(train) [42][1840/3757] lr: 1.000e-03 eta: 16:12:32 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 6.1667 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2462 loss: 1.2462 2022/06/28 05:28:15 - mmengine - INFO - Epoch(train) [42][1860/3757] lr: 1.000e-03 eta: 16:12:27 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 5.9638 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7266 loss: 1.7266 2022/06/28 05:28:21 - mmengine - INFO - Epoch(train) [42][1880/3757] lr: 1.000e-03 eta: 16:12:22 time: 0.365 data_time: 0.007 memory: 5148 grad_norm: 5.5464 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3880 loss: 1.3880 2022/06/28 05:28:26 - mmengine - INFO - Epoch(train) [42][1900/3757] lr: 1.000e-03 eta: 16:12:17 time: 0.208 data_time: 0.012 memory: 5148 grad_norm: 5.9479 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5595 loss: 1.5595 2022/06/28 05:28:32 - mmengine - INFO - Epoch(train) [42][1920/3757] lr: 1.000e-03 eta: 16:12:12 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 5.6326 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8339 loss: 1.8339 2022/06/28 05:28:37 - mmengine - INFO - Epoch(train) [42][1940/3757] lr: 1.000e-03 eta: 16:12:06 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 6.3295 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4301 loss: 1.4301 2022/06/28 05:28:43 - mmengine - INFO - Epoch(train) [42][1960/3757] lr: 1.000e-03 eta: 16:12:02 time: 0.200 data_time: 0.015 memory: 5148 grad_norm: 6.3238 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4508 loss: 1.4508 2022/06/28 05:28:44 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 05:28:48 - mmengine - INFO - Epoch(train) [42][1980/3757] lr: 1.000e-03 eta: 16:11:55 time: 0.198 data_time: 0.014 memory: 5148 grad_norm: 6.2139 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5040 loss: 1.5040 2022/06/28 05:28:53 - mmengine - INFO - Epoch(train) [42][2000/3757] lr: 1.000e-03 eta: 16:11:50 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 4.9653 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1411 loss: 1.1411 2022/06/28 05:28:58 - mmengine - INFO - Epoch(train) [42][2020/3757] lr: 1.000e-03 eta: 16:11:45 time: 0.200 data_time: 0.013 memory: 5148 grad_norm: 6.0374 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6574 loss: 1.6574 2022/06/28 05:29:03 - mmengine - INFO - Epoch(train) [42][2040/3757] lr: 1.000e-03 eta: 16:11:39 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 6.1200 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0557 loss: 2.0557 2022/06/28 05:29:09 - mmengine - INFO - Epoch(train) [42][2060/3757] lr: 1.000e-03 eta: 16:11:34 time: 0.197 data_time: 0.013 memory: 5148 grad_norm: 6.7021 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6839 loss: 1.6839 2022/06/28 05:29:15 - mmengine - INFO - Epoch(train) [42][2080/3757] lr: 1.000e-03 eta: 16:11:29 time: 0.201 data_time: 0.020 memory: 5148 grad_norm: 6.2658 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3622 loss: 1.3622 2022/06/28 05:29:20 - mmengine - INFO - Epoch(train) [42][2100/3757] lr: 1.000e-03 eta: 16:11:24 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 5.6546 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4043 loss: 1.4043 2022/06/28 05:29:25 - mmengine - INFO - Epoch(train) [42][2120/3757] lr: 1.000e-03 eta: 16:11:18 time: 0.206 data_time: 0.016 memory: 5148 grad_norm: 5.0276 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4756 loss: 1.4756 2022/06/28 05:29:30 - mmengine - INFO - Epoch(train) [42][2140/3757] lr: 1.000e-03 eta: 16:11:13 time: 0.210 data_time: 0.013 memory: 5148 grad_norm: 6.0909 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5482 loss: 1.5482 2022/06/28 05:29:36 - mmengine - INFO - Epoch(train) [42][2160/3757] lr: 1.000e-03 eta: 16:11:08 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 5.6944 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4464 loss: 1.4464 2022/06/28 05:29:41 - mmengine - INFO - Epoch(train) [42][2180/3757] lr: 1.000e-03 eta: 16:11:02 time: 0.199 data_time: 0.014 memory: 5148 grad_norm: 5.2698 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7577 loss: 1.7577 2022/06/28 05:29:46 - mmengine - INFO - Epoch(train) [42][2200/3757] lr: 1.000e-03 eta: 16:10:57 time: 0.235 data_time: 0.013 memory: 5148 grad_norm: 5.2899 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6727 loss: 1.6727 2022/06/28 05:29:52 - mmengine - INFO - Epoch(train) [42][2220/3757] lr: 1.000e-03 eta: 16:10:53 time: 0.221 data_time: 0.014 memory: 5148 grad_norm: 5.4264 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5775 loss: 1.5775 2022/06/28 05:29:57 - mmengine - INFO - Epoch(train) [42][2240/3757] lr: 1.000e-03 eta: 16:10:46 time: 0.199 data_time: 0.022 memory: 5148 grad_norm: 5.8815 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5170 loss: 1.5170 2022/06/28 05:30:02 - mmengine - INFO - Epoch(train) [42][2260/3757] lr: 1.000e-03 eta: 16:10:41 time: 0.633 data_time: 0.019 memory: 5148 grad_norm: 5.9958 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5838 loss: 1.5838 2022/06/28 05:30:08 - mmengine - INFO - Epoch(train) [42][2280/3757] lr: 1.000e-03 eta: 16:10:36 time: 0.318 data_time: 0.016 memory: 5148 grad_norm: 7.0004 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5406 loss: 1.5406 2022/06/28 05:30:13 - mmengine - INFO - Epoch(train) [42][2300/3757] lr: 1.000e-03 eta: 16:10:30 time: 0.197 data_time: 0.022 memory: 5148 grad_norm: 6.3332 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3507 loss: 1.3507 2022/06/28 05:30:18 - mmengine - INFO - Epoch(train) [42][2320/3757] lr: 1.000e-03 eta: 16:10:26 time: 0.602 data_time: 0.016 memory: 5148 grad_norm: 5.9036 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7481 loss: 1.7481 2022/06/28 05:30:24 - mmengine - INFO - Epoch(train) [42][2340/3757] lr: 1.000e-03 eta: 16:10:20 time: 0.313 data_time: 0.022 memory: 5148 grad_norm: 5.8505 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3325 loss: 1.3325 2022/06/28 05:30:29 - mmengine - INFO - Epoch(train) [42][2360/3757] lr: 1.000e-03 eta: 16:10:14 time: 0.206 data_time: 0.026 memory: 5148 grad_norm: 5.0157 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8439 loss: 1.8439 2022/06/28 05:30:35 - mmengine - INFO - Epoch(train) [42][2380/3757] lr: 1.000e-03 eta: 16:10:10 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 5.7103 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5874 loss: 1.5874 2022/06/28 05:30:40 - mmengine - INFO - Epoch(train) [42][2400/3757] lr: 1.000e-03 eta: 16:10:05 time: 0.299 data_time: 0.014 memory: 5148 grad_norm: 5.5832 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1499 loss: 1.1499 2022/06/28 05:30:45 - mmengine - INFO - Epoch(train) [42][2420/3757] lr: 1.000e-03 eta: 16:09:59 time: 0.199 data_time: 0.018 memory: 5148 grad_norm: 5.9717 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4968 loss: 1.4968 2022/06/28 05:30:50 - mmengine - INFO - Epoch(train) [42][2440/3757] lr: 1.000e-03 eta: 16:09:54 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.0534 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3123 loss: 1.3123 2022/06/28 05:30:56 - mmengine - INFO - Epoch(train) [42][2460/3757] lr: 1.000e-03 eta: 16:09:49 time: 0.492 data_time: 0.013 memory: 5148 grad_norm: 6.8216 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6062 loss: 1.6062 2022/06/28 05:31:02 - mmengine - INFO - Epoch(train) [42][2480/3757] lr: 1.000e-03 eta: 16:09:44 time: 0.200 data_time: 0.013 memory: 5148 grad_norm: 6.4867 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1415 loss: 1.1415 2022/06/28 05:31:07 - mmengine - INFO - Epoch(train) [42][2500/3757] lr: 1.000e-03 eta: 16:09:39 time: 0.231 data_time: 0.012 memory: 5148 grad_norm: 6.5286 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3336 loss: 1.3336 2022/06/28 05:31:13 - mmengine - INFO - Epoch(train) [42][2520/3757] lr: 1.000e-03 eta: 16:09:34 time: 0.377 data_time: 0.007 memory: 5148 grad_norm: 6.0035 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1333 loss: 2.1333 2022/06/28 05:31:17 - mmengine - INFO - Epoch(train) [42][2540/3757] lr: 1.000e-03 eta: 16:09:28 time: 0.201 data_time: 0.019 memory: 5148 grad_norm: 5.5867 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6618 loss: 1.6618 2022/06/28 05:31:23 - mmengine - INFO - Epoch(train) [42][2560/3757] lr: 1.000e-03 eta: 16:09:22 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 6.0398 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3448 loss: 1.3448 2022/06/28 05:31:28 - mmengine - INFO - Epoch(train) [42][2580/3757] lr: 1.000e-03 eta: 16:09:18 time: 1.056 data_time: 0.007 memory: 5148 grad_norm: 5.0732 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6425 loss: 1.6425 2022/06/28 05:31:34 - mmengine - INFO - Epoch(train) [42][2600/3757] lr: 1.000e-03 eta: 16:09:12 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 4.9072 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9473 loss: 1.9473 2022/06/28 05:31:39 - mmengine - INFO - Epoch(train) [42][2620/3757] lr: 1.000e-03 eta: 16:09:07 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 4.8636 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2006 loss: 1.2006 2022/06/28 05:31:45 - mmengine - INFO - Epoch(train) [42][2640/3757] lr: 1.000e-03 eta: 16:09:02 time: 0.780 data_time: 0.007 memory: 5148 grad_norm: 6.4138 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5601 loss: 1.5601 2022/06/28 05:31:49 - mmengine - INFO - Epoch(train) [42][2660/3757] lr: 1.000e-03 eta: 16:08:56 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.5098 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5931 loss: 1.5931 2022/06/28 05:31:55 - mmengine - INFO - Epoch(train) [42][2680/3757] lr: 1.000e-03 eta: 16:08:51 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 5.2804 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2721 loss: 1.2721 2022/06/28 05:32:01 - mmengine - INFO - Epoch(train) [42][2700/3757] lr: 1.000e-03 eta: 16:08:46 time: 0.859 data_time: 0.015 memory: 5148 grad_norm: 5.6529 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6415 loss: 1.6415 2022/06/28 05:32:05 - mmengine - INFO - Epoch(train) [42][2720/3757] lr: 1.000e-03 eta: 16:08:40 time: 0.212 data_time: 0.010 memory: 5148 grad_norm: 5.0730 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4169 loss: 1.4169 2022/06/28 05:32:11 - mmengine - INFO - Epoch(train) [42][2740/3757] lr: 1.000e-03 eta: 16:08:35 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 7.1014 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6523 loss: 1.6523 2022/06/28 05:32:16 - mmengine - INFO - Epoch(train) [42][2760/3757] lr: 1.000e-03 eta: 16:08:29 time: 0.417 data_time: 0.013 memory: 5148 grad_norm: 6.1038 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2829 loss: 1.2829 2022/06/28 05:32:21 - mmengine - INFO - Epoch(train) [42][2780/3757] lr: 1.000e-03 eta: 16:08:24 time: 0.799 data_time: 0.007 memory: 5148 grad_norm: 6.0892 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5622 loss: 1.5622 2022/06/28 05:32:26 - mmengine - INFO - Epoch(train) [42][2800/3757] lr: 1.000e-03 eta: 16:08:18 time: 0.203 data_time: 0.020 memory: 5148 grad_norm: 5.7000 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8272 loss: 1.8272 2022/06/28 05:32:32 - mmengine - INFO - Epoch(train) [42][2820/3757] lr: 1.000e-03 eta: 16:08:13 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 5.9922 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4935 loss: 1.4935 2022/06/28 05:32:37 - mmengine - INFO - Epoch(train) [42][2840/3757] lr: 1.000e-03 eta: 16:08:08 time: 0.536 data_time: 0.007 memory: 5148 grad_norm: 5.8166 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3270 loss: 1.3270 2022/06/28 05:32:42 - mmengine - INFO - Epoch(train) [42][2860/3757] lr: 1.000e-03 eta: 16:08:03 time: 0.216 data_time: 0.013 memory: 5148 grad_norm: 5.9910 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5367 loss: 1.5367 2022/06/28 05:32:48 - mmengine - INFO - Epoch(train) [42][2880/3757] lr: 1.000e-03 eta: 16:07:57 time: 0.199 data_time: 0.013 memory: 5148 grad_norm: 5.0335 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6495 loss: 1.6495 2022/06/28 05:32:53 - mmengine - INFO - Epoch(train) [42][2900/3757] lr: 1.000e-03 eta: 16:07:51 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.8656 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0752 loss: 2.0752 2022/06/28 05:32:58 - mmengine - INFO - Epoch(train) [42][2920/3757] lr: 1.000e-03 eta: 16:07:47 time: 0.210 data_time: 0.010 memory: 5148 grad_norm: 6.2232 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8993 loss: 1.8993 2022/06/28 05:33:04 - mmengine - INFO - Epoch(train) [42][2940/3757] lr: 1.000e-03 eta: 16:07:41 time: 0.208 data_time: 0.024 memory: 5148 grad_norm: 6.0957 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9243 loss: 1.9243 2022/06/28 05:33:09 - mmengine - INFO - Epoch(train) [42][2960/3757] lr: 1.000e-03 eta: 16:07:36 time: 0.212 data_time: 0.010 memory: 5148 grad_norm: 4.4696 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.0022 loss: 2.0022 2022/06/28 05:33:10 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 05:33:15 - mmengine - INFO - Epoch(train) [42][2980/3757] lr: 1.000e-03 eta: 16:07:31 time: 0.212 data_time: 0.010 memory: 5148 grad_norm: 4.9440 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7708 loss: 1.7708 2022/06/28 05:33:19 - mmengine - INFO - Epoch(train) [42][3000/3757] lr: 1.000e-03 eta: 16:07:25 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.9638 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4082 loss: 1.4082 2022/06/28 05:33:25 - mmengine - INFO - Epoch(train) [42][3020/3757] lr: 1.000e-03 eta: 16:07:20 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 5.8633 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7823 loss: 1.7823 2022/06/28 05:33:30 - mmengine - INFO - Epoch(train) [42][3040/3757] lr: 1.000e-03 eta: 16:07:14 time: 0.219 data_time: 0.006 memory: 5148 grad_norm: 5.6579 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6748 loss: 1.6748 2022/06/28 05:33:35 - mmengine - INFO - Epoch(train) [42][3060/3757] lr: 1.000e-03 eta: 16:07:09 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.3676 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5020 loss: 1.5020 2022/06/28 05:33:41 - mmengine - INFO - Epoch(train) [42][3080/3757] lr: 1.000e-03 eta: 16:07:05 time: 0.378 data_time: 0.007 memory: 5148 grad_norm: 4.5156 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5643 loss: 1.5643 2022/06/28 05:33:46 - mmengine - INFO - Epoch(train) [42][3100/3757] lr: 1.000e-03 eta: 16:06:59 time: 0.328 data_time: 0.007 memory: 5148 grad_norm: 6.5937 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5301 loss: 1.5301 2022/06/28 05:33:51 - mmengine - INFO - Epoch(train) [42][3120/3757] lr: 1.000e-03 eta: 16:06:54 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 5.6294 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6217 loss: 1.6217 2022/06/28 05:33:57 - mmengine - INFO - Epoch(train) [42][3140/3757] lr: 1.000e-03 eta: 16:06:48 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 6.2698 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6910 loss: 1.6910 2022/06/28 05:34:03 - mmengine - INFO - Epoch(train) [42][3160/3757] lr: 1.000e-03 eta: 16:06:44 time: 1.036 data_time: 0.010 memory: 5148 grad_norm: 7.5561 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8089 loss: 1.8089 2022/06/28 05:34:07 - mmengine - INFO - Epoch(train) [42][3180/3757] lr: 1.000e-03 eta: 16:06:37 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 5.6355 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1636 loss: 1.1636 2022/06/28 05:34:13 - mmengine - INFO - Epoch(train) [42][3200/3757] lr: 1.000e-03 eta: 16:06:33 time: 0.194 data_time: 0.011 memory: 5148 grad_norm: 5.8531 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6459 loss: 1.6459 2022/06/28 05:34:18 - mmengine - INFO - Epoch(train) [42][3220/3757] lr: 1.000e-03 eta: 16:06:27 time: 0.807 data_time: 0.007 memory: 5148 grad_norm: 5.9160 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8358 loss: 1.8358 2022/06/28 05:34:24 - mmengine - INFO - Epoch(train) [42][3240/3757] lr: 1.000e-03 eta: 16:06:22 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 5.8240 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7279 loss: 1.7279 2022/06/28 05:34:29 - mmengine - INFO - Epoch(train) [42][3260/3757] lr: 1.000e-03 eta: 16:06:17 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 4.6695 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3193 loss: 1.3193 2022/06/28 05:34:35 - mmengine - INFO - Epoch(train) [42][3280/3757] lr: 1.000e-03 eta: 16:06:12 time: 0.660 data_time: 0.007 memory: 5148 grad_norm: 6.5513 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7031 loss: 1.7031 2022/06/28 05:34:39 - mmengine - INFO - Epoch(train) [42][3300/3757] lr: 1.000e-03 eta: 16:06:06 time: 0.209 data_time: 0.006 memory: 5148 grad_norm: 5.8956 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5504 loss: 1.5504 2022/06/28 05:34:45 - mmengine - INFO - Epoch(train) [42][3320/3757] lr: 1.000e-03 eta: 16:06:01 time: 0.223 data_time: 0.006 memory: 5148 grad_norm: 5.8089 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4046 loss: 1.4046 2022/06/28 05:34:50 - mmengine - INFO - Epoch(train) [42][3340/3757] lr: 1.000e-03 eta: 16:05:56 time: 0.872 data_time: 0.007 memory: 5148 grad_norm: 6.4337 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4172 loss: 1.4172 2022/06/28 05:34:56 - mmengine - INFO - Epoch(train) [42][3360/3757] lr: 1.000e-03 eta: 16:05:50 time: 0.226 data_time: 0.006 memory: 5148 grad_norm: 5.4921 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6960 loss: 1.6960 2022/06/28 05:35:01 - mmengine - INFO - Epoch(train) [42][3380/3757] lr: 1.000e-03 eta: 16:05:45 time: 0.219 data_time: 0.011 memory: 5148 grad_norm: 5.7991 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3807 loss: 1.3807 2022/06/28 05:35:06 - mmengine - INFO - Epoch(train) [42][3400/3757] lr: 1.000e-03 eta: 16:05:40 time: 0.349 data_time: 0.007 memory: 5148 grad_norm: 5.6686 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5252 loss: 1.5252 2022/06/28 05:35:12 - mmengine - INFO - Epoch(train) [42][3420/3757] lr: 1.000e-03 eta: 16:05:35 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 5.5260 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8702 loss: 1.8702 2022/06/28 05:35:17 - mmengine - INFO - Epoch(train) [42][3440/3757] lr: 1.000e-03 eta: 16:05:30 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 6.4657 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6312 loss: 1.6312 2022/06/28 05:35:23 - mmengine - INFO - Epoch(train) [42][3460/3757] lr: 1.000e-03 eta: 16:05:25 time: 0.693 data_time: 0.010 memory: 5148 grad_norm: 5.9468 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7456 loss: 1.7456 2022/06/28 05:35:28 - mmengine - INFO - Epoch(train) [42][3480/3757] lr: 1.000e-03 eta: 16:05:19 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 5.3828 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6944 loss: 1.6944 2022/06/28 05:35:33 - mmengine - INFO - Epoch(train) [42][3500/3757] lr: 1.000e-03 eta: 16:05:13 time: 0.212 data_time: 0.011 memory: 5148 grad_norm: 5.6003 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4337 loss: 1.4337 2022/06/28 05:35:39 - mmengine - INFO - Epoch(train) [42][3520/3757] lr: 1.000e-03 eta: 16:05:09 time: 1.065 data_time: 0.010 memory: 5148 grad_norm: 5.3668 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8224 loss: 1.8224 2022/06/28 05:35:44 - mmengine - INFO - Epoch(train) [42][3540/3757] lr: 1.000e-03 eta: 16:05:03 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 5.4198 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2791 loss: 1.2791 2022/06/28 05:35:48 - mmengine - INFO - Epoch(train) [42][3560/3757] lr: 1.000e-03 eta: 16:04:57 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 5.8040 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2352 loss: 1.2352 2022/06/28 05:35:54 - mmengine - INFO - Epoch(train) [42][3580/3757] lr: 1.000e-03 eta: 16:04:51 time: 0.272 data_time: 0.015 memory: 5148 grad_norm: 5.6943 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3936 loss: 1.3936 2022/06/28 05:35:59 - mmengine - INFO - Epoch(train) [42][3600/3757] lr: 1.000e-03 eta: 16:04:46 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 6.0494 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0694 loss: 2.0694 2022/06/28 05:36:05 - mmengine - INFO - Epoch(train) [42][3620/3757] lr: 1.000e-03 eta: 16:04:42 time: 0.216 data_time: 0.011 memory: 5148 grad_norm: 5.5969 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6974 loss: 1.6974 2022/06/28 05:36:10 - mmengine - INFO - Epoch(train) [42][3640/3757] lr: 1.000e-03 eta: 16:04:36 time: 0.204 data_time: 0.014 memory: 5148 grad_norm: 6.3212 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8945 loss: 1.8945 2022/06/28 05:36:16 - mmengine - INFO - Epoch(train) [42][3660/3757] lr: 1.000e-03 eta: 16:04:31 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.6364 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2925 loss: 1.2925 2022/06/28 05:36:21 - mmengine - INFO - Epoch(train) [42][3680/3757] lr: 1.000e-03 eta: 16:04:25 time: 0.216 data_time: 0.009 memory: 5148 grad_norm: 6.0265 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4474 loss: 1.4474 2022/06/28 05:36:26 - mmengine - INFO - Epoch(train) [42][3700/3757] lr: 1.000e-03 eta: 16:04:20 time: 0.205 data_time: 0.020 memory: 5148 grad_norm: 5.1651 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2996 loss: 1.2996 2022/06/28 05:36:32 - mmengine - INFO - Epoch(train) [42][3720/3757] lr: 1.000e-03 eta: 16:04:15 time: 0.220 data_time: 0.011 memory: 5148 grad_norm: 4.7076 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0538 loss: 2.0538 2022/06/28 05:36:37 - mmengine - INFO - Epoch(train) [42][3740/3757] lr: 1.000e-03 eta: 16:04:10 time: 0.207 data_time: 0.006 memory: 5148 grad_norm: 6.6339 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8072 loss: 1.8072 2022/06/28 05:36:40 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 05:36:47 - mmengine - INFO - Epoch(val) [42][20/310] eta: 0:01:15 time: 0.415 data_time: 0.338 memory: 5148 2022/06/28 05:36:52 - mmengine - INFO - Epoch(val) [42][40/310] eta: 0:01:04 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 05:36:58 - mmengine - INFO - Epoch(val) [42][60/310] eta: 0:01:00 time: 0.204 data_time: 0.123 memory: 1367 2022/06/28 05:37:02 - mmengine - INFO - Epoch(val) [42][80/310] eta: 0:00:58 time: 0.081 data_time: 0.009 memory: 1367 2022/06/28 05:37:08 - mmengine - INFO - Epoch(val) [42][100/310] eta: 0:00:45 time: 0.300 data_time: 0.229 memory: 1367 2022/06/28 05:37:13 - mmengine - INFO - Epoch(val) [42][120/310] eta: 0:00:53 time: 0.496 data_time: 0.424 memory: 1367 2022/06/28 05:37:19 - mmengine - INFO - Epoch(val) [42][140/310] eta: 0:00:57 time: 0.811 data_time: 0.731 memory: 1367 2022/06/28 05:37:24 - mmengine - INFO - Epoch(val) [42][160/310] eta: 0:00:35 time: 0.338 data_time: 0.261 memory: 1367 2022/06/28 05:37:30 - mmengine - INFO - Epoch(val) [42][180/310] eta: 0:00:47 time: 1.018 data_time: 0.942 memory: 1367 2022/06/28 05:37:35 - mmengine - INFO - Epoch(val) [42][200/310] eta: 0:00:25 time: 0.194 data_time: 0.117 memory: 1367 2022/06/28 05:37:40 - mmengine - INFO - Epoch(val) [42][220/310] eta: 0:00:30 time: 0.136 data_time: 0.058 memory: 1367 2022/06/28 05:37:45 - mmengine - INFO - Epoch(val) [42][240/310] eta: 0:00:16 time: 0.254 data_time: 0.183 memory: 1367 2022/06/28 05:37:50 - mmengine - INFO - Epoch(val) [42][260/310] eta: 0:00:17 time: 0.071 data_time: 0.005 memory: 1367 2022/06/28 05:37:55 - mmengine - INFO - Epoch(val) [42][280/310] eta: 0:00:07 time: 0.202 data_time: 0.124 memory: 1367 2022/06/28 05:38:01 - mmengine - INFO - Epoch(val) [42][300/310] eta: 0:00:03 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 05:38:04 - mmengine - INFO - Epoch(val) [42][310/310] acc/top1: 0.6269 acc/top5: 0.8450 acc/mean1: 0.6268 2022/06/28 05:38:12 - mmengine - INFO - Epoch(train) [43][20/3757] lr: 1.000e-03 eta: 16:04:00 time: 0.203 data_time: 0.017 memory: 5148 grad_norm: 5.8490 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5501 loss: 1.5501 2022/06/28 05:38:18 - mmengine - INFO - Epoch(train) [43][40/3757] lr: 1.000e-03 eta: 16:03:55 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.2675 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5079 loss: 1.5079 2022/06/28 05:38:23 - mmengine - INFO - Epoch(train) [43][60/3757] lr: 1.000e-03 eta: 16:03:50 time: 0.190 data_time: 0.009 memory: 5148 grad_norm: 5.6010 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3530 loss: 1.3530 2022/06/28 05:38:28 - mmengine - INFO - Epoch(train) [43][80/3757] lr: 1.000e-03 eta: 16:03:45 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.4534 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5227 loss: 1.5227 2022/06/28 05:38:34 - mmengine - INFO - Epoch(train) [43][100/3757] lr: 1.000e-03 eta: 16:03:40 time: 0.372 data_time: 0.007 memory: 5148 grad_norm: 5.2705 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2720 loss: 1.2720 2022/06/28 05:38:39 - mmengine - INFO - Epoch(train) [43][120/3757] lr: 1.000e-03 eta: 16:03:34 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 7.2252 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6480 loss: 1.6480 2022/06/28 05:38:45 - mmengine - INFO - Epoch(train) [43][140/3757] lr: 1.000e-03 eta: 16:03:29 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 4.9848 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6869 loss: 1.6869 2022/06/28 05:38:51 - mmengine - INFO - Epoch(train) [43][160/3757] lr: 1.000e-03 eta: 16:03:25 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 6.1947 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6693 loss: 1.6693 2022/06/28 05:38:55 - mmengine - INFO - Epoch(train) [43][180/3757] lr: 1.000e-03 eta: 16:03:19 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 4.6421 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3862 loss: 1.3862 2022/06/28 05:39:01 - mmengine - INFO - Epoch(train) [43][200/3757] lr: 1.000e-03 eta: 16:03:14 time: 0.193 data_time: 0.009 memory: 5148 grad_norm: 5.9174 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3406 loss: 1.3406 2022/06/28 05:39:03 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 05:39:07 - mmengine - INFO - Epoch(train) [43][220/3757] lr: 1.000e-03 eta: 16:03:09 time: 0.215 data_time: 0.011 memory: 5148 grad_norm: 4.9888 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3407 loss: 1.3407 2022/06/28 05:39:12 - mmengine - INFO - Epoch(train) [43][240/3757] lr: 1.000e-03 eta: 16:03:04 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 6.0794 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4708 loss: 1.4708 2022/06/28 05:39:17 - mmengine - INFO - Epoch(train) [43][260/3757] lr: 1.000e-03 eta: 16:02:58 time: 0.195 data_time: 0.006 memory: 5148 grad_norm: 5.2773 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2851 loss: 1.2851 2022/06/28 05:39:23 - mmengine - INFO - Epoch(train) [43][280/3757] lr: 1.000e-03 eta: 16:02:53 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 5.4200 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6218 loss: 1.6218 2022/06/28 05:39:28 - mmengine - INFO - Epoch(train) [43][300/3757] lr: 1.000e-03 eta: 16:02:47 time: 0.236 data_time: 0.057 memory: 5148 grad_norm: 6.2985 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4522 loss: 1.4522 2022/06/28 05:39:33 - mmengine - INFO - Epoch(train) [43][320/3757] lr: 1.000e-03 eta: 16:02:42 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 6.3451 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1124 loss: 1.1124 2022/06/28 05:39:39 - mmengine - INFO - Epoch(train) [43][340/3757] lr: 1.000e-03 eta: 16:02:37 time: 0.209 data_time: 0.009 memory: 5148 grad_norm: 6.0882 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4335 loss: 1.4335 2022/06/28 05:39:44 - mmengine - INFO - Epoch(train) [43][360/3757] lr: 1.000e-03 eta: 16:02:32 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.5289 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0843 loss: 2.0843 2022/06/28 05:39:49 - mmengine - INFO - Epoch(train) [43][380/3757] lr: 1.000e-03 eta: 16:02:26 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 6.6040 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3986 loss: 1.3986 2022/06/28 05:39:55 - mmengine - INFO - Epoch(train) [43][400/3757] lr: 1.000e-03 eta: 16:02:21 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 5.0083 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3980 loss: 1.3980 2022/06/28 05:40:00 - mmengine - INFO - Epoch(train) [43][420/3757] lr: 1.000e-03 eta: 16:02:15 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 6.1945 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8857 loss: 1.8857 2022/06/28 05:40:05 - mmengine - INFO - Epoch(train) [43][440/3757] lr: 1.000e-03 eta: 16:02:11 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 6.1848 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5679 loss: 1.5679 2022/06/28 05:40:11 - mmengine - INFO - Epoch(train) [43][460/3757] lr: 1.000e-03 eta: 16:02:06 time: 0.218 data_time: 0.010 memory: 5148 grad_norm: 6.3540 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2010 loss: 2.2010 2022/06/28 05:40:16 - mmengine - INFO - Epoch(train) [43][480/3757] lr: 1.000e-03 eta: 16:02:00 time: 0.209 data_time: 0.011 memory: 5148 grad_norm: 6.6730 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2670 loss: 1.2670 2022/06/28 05:40:21 - mmengine - INFO - Epoch(train) [43][500/3757] lr: 1.000e-03 eta: 16:01:55 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.1682 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7604 loss: 1.7604 2022/06/28 05:40:27 - mmengine - INFO - Epoch(train) [43][520/3757] lr: 1.000e-03 eta: 16:01:49 time: 0.294 data_time: 0.008 memory: 5148 grad_norm: 5.9727 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2277 loss: 1.2277 2022/06/28 05:40:31 - mmengine - INFO - Epoch(train) [43][540/3757] lr: 1.000e-03 eta: 16:01:44 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 5.9584 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4865 loss: 1.4865 2022/06/28 05:40:37 - mmengine - INFO - Epoch(train) [43][560/3757] lr: 1.000e-03 eta: 16:01:38 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 5.9261 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9873 loss: 1.9873 2022/06/28 05:40:43 - mmengine - INFO - Epoch(train) [43][580/3757] lr: 1.000e-03 eta: 16:01:34 time: 0.268 data_time: 0.008 memory: 5148 grad_norm: 5.6551 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4202 loss: 1.4202 2022/06/28 05:40:48 - mmengine - INFO - Epoch(train) [43][600/3757] lr: 1.000e-03 eta: 16:01:28 time: 0.204 data_time: 0.016 memory: 5148 grad_norm: 6.3667 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6286 loss: 1.6286 2022/06/28 05:40:53 - mmengine - INFO - Epoch(train) [43][620/3757] lr: 1.000e-03 eta: 16:01:23 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 5.4841 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5414 loss: 1.5414 2022/06/28 05:40:59 - mmengine - INFO - Epoch(train) [43][640/3757] lr: 1.000e-03 eta: 16:01:18 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 6.1203 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6911 loss: 1.6911 2022/06/28 05:41:03 - mmengine - INFO - Epoch(train) [43][660/3757] lr: 1.000e-03 eta: 16:01:12 time: 0.203 data_time: 0.014 memory: 5148 grad_norm: 5.2890 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5765 loss: 1.5765 2022/06/28 05:41:09 - mmengine - INFO - Epoch(train) [43][680/3757] lr: 1.000e-03 eta: 16:01:06 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 6.0765 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.7291 loss: 1.7291 2022/06/28 05:41:14 - mmengine - INFO - Epoch(train) [43][700/3757] lr: 1.000e-03 eta: 16:01:01 time: 0.216 data_time: 0.014 memory: 5148 grad_norm: 6.3239 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6082 loss: 1.6082 2022/06/28 05:41:19 - mmengine - INFO - Epoch(train) [43][720/3757] lr: 1.000e-03 eta: 16:00:56 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 6.8536 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9186 loss: 1.9186 2022/06/28 05:41:25 - mmengine - INFO - Epoch(train) [43][740/3757] lr: 1.000e-03 eta: 16:00:51 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 5.1216 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3206 loss: 1.3206 2022/06/28 05:41:31 - mmengine - INFO - Epoch(train) [43][760/3757] lr: 1.000e-03 eta: 16:00:46 time: 0.207 data_time: 0.011 memory: 5148 grad_norm: 5.8433 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1408 loss: 2.1408 2022/06/28 05:41:36 - mmengine - INFO - Epoch(train) [43][780/3757] lr: 1.000e-03 eta: 16:00:40 time: 0.205 data_time: 0.013 memory: 5148 grad_norm: 5.7686 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5958 loss: 1.5958 2022/06/28 05:41:42 - mmengine - INFO - Epoch(train) [43][800/3757] lr: 1.000e-03 eta: 16:00:36 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.6852 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6453 loss: 1.6453 2022/06/28 05:41:47 - mmengine - INFO - Epoch(train) [43][820/3757] lr: 1.000e-03 eta: 16:00:31 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 5.4902 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4294 loss: 1.4294 2022/06/28 05:41:52 - mmengine - INFO - Epoch(train) [43][840/3757] lr: 1.000e-03 eta: 16:00:25 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 5.6019 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3854 loss: 1.3854 2022/06/28 05:41:58 - mmengine - INFO - Epoch(train) [43][860/3757] lr: 1.000e-03 eta: 16:00:20 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.7917 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4884 loss: 1.4884 2022/06/28 05:42:03 - mmengine - INFO - Epoch(train) [43][880/3757] lr: 1.000e-03 eta: 16:00:15 time: 0.241 data_time: 0.010 memory: 5148 grad_norm: 6.5045 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4481 loss: 1.4481 2022/06/28 05:42:08 - mmengine - INFO - Epoch(train) [43][900/3757] lr: 1.000e-03 eta: 16:00:09 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 5.8024 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4317 loss: 1.4317 2022/06/28 05:42:14 - mmengine - INFO - Epoch(train) [43][920/3757] lr: 1.000e-03 eta: 16:00:04 time: 0.219 data_time: 0.011 memory: 5148 grad_norm: 6.1197 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6635 loss: 1.6635 2022/06/28 05:42:19 - mmengine - INFO - Epoch(train) [43][940/3757] lr: 1.000e-03 eta: 15:59:59 time: 0.221 data_time: 0.022 memory: 5148 grad_norm: 5.2105 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5531 loss: 1.5531 2022/06/28 05:42:25 - mmengine - INFO - Epoch(train) [43][960/3757] lr: 1.000e-03 eta: 15:59:54 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.5356 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4476 loss: 1.4476 2022/06/28 05:42:29 - mmengine - INFO - Epoch(train) [43][980/3757] lr: 1.000e-03 eta: 15:59:47 time: 0.198 data_time: 0.015 memory: 5148 grad_norm: 4.7334 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4368 loss: 1.4368 2022/06/28 05:42:34 - mmengine - INFO - Epoch(train) [43][1000/3757] lr: 1.000e-03 eta: 15:59:42 time: 0.209 data_time: 0.011 memory: 5148 grad_norm: 6.6409 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4365 loss: 1.4365 2022/06/28 05:42:39 - mmengine - INFO - Epoch(train) [43][1020/3757] lr: 1.000e-03 eta: 15:59:36 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 5.1035 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4923 loss: 1.4923 2022/06/28 05:42:44 - mmengine - INFO - Epoch(train) [43][1040/3757] lr: 1.000e-03 eta: 15:59:30 time: 0.195 data_time: 0.016 memory: 5148 grad_norm: 5.9360 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4686 loss: 1.4686 2022/06/28 05:42:49 - mmengine - INFO - Epoch(train) [43][1060/3757] lr: 1.000e-03 eta: 15:59:25 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 5.6447 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9534 loss: 1.9534 2022/06/28 05:42:54 - mmengine - INFO - Epoch(train) [43][1080/3757] lr: 1.000e-03 eta: 15:59:19 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.3993 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4828 loss: 1.4828 2022/06/28 05:43:00 - mmengine - INFO - Epoch(train) [43][1100/3757] lr: 1.000e-03 eta: 15:59:14 time: 0.201 data_time: 0.014 memory: 5148 grad_norm: 5.9437 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5913 loss: 1.5913 2022/06/28 05:43:06 - mmengine - INFO - Epoch(train) [43][1120/3757] lr: 1.000e-03 eta: 15:59:09 time: 0.247 data_time: 0.011 memory: 5148 grad_norm: 5.1706 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4637 loss: 1.4637 2022/06/28 05:43:11 - mmengine - INFO - Epoch(train) [43][1140/3757] lr: 1.000e-03 eta: 15:59:04 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 5.7917 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7794 loss: 1.7794 2022/06/28 05:43:17 - mmengine - INFO - Epoch(train) [43][1160/3757] lr: 1.000e-03 eta: 15:59:00 time: 0.195 data_time: 0.014 memory: 5148 grad_norm: 6.2832 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4634 loss: 1.4634 2022/06/28 05:43:22 - mmengine - INFO - Epoch(train) [43][1180/3757] lr: 1.000e-03 eta: 15:58:54 time: 0.209 data_time: 0.009 memory: 5148 grad_norm: 5.3517 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3216 loss: 1.3216 2022/06/28 05:43:27 - mmengine - INFO - Epoch(train) [43][1200/3757] lr: 1.000e-03 eta: 15:58:49 time: 0.198 data_time: 0.013 memory: 5148 grad_norm: 5.6752 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8143 loss: 1.8143 2022/06/28 05:43:29 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 05:43:33 - mmengine - INFO - Epoch(train) [43][1220/3757] lr: 1.000e-03 eta: 15:58:44 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 5.2429 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7920 loss: 1.7920 2022/06/28 05:43:38 - mmengine - INFO - Epoch(train) [43][1240/3757] lr: 1.000e-03 eta: 15:58:38 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 5.2321 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7339 loss: 1.7339 2022/06/28 05:43:44 - mmengine - INFO - Epoch(train) [43][1260/3757] lr: 1.000e-03 eta: 15:58:34 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 6.2535 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4376 loss: 1.4376 2022/06/28 05:43:49 - mmengine - INFO - Epoch(train) [43][1280/3757] lr: 1.000e-03 eta: 15:58:27 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 5.7065 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6695 loss: 1.6695 2022/06/28 05:43:54 - mmengine - INFO - Epoch(train) [43][1300/3757] lr: 1.000e-03 eta: 15:58:22 time: 0.212 data_time: 0.010 memory: 5148 grad_norm: 5.2935 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7026 loss: 1.7026 2022/06/28 05:43:59 - mmengine - INFO - Epoch(train) [43][1320/3757] lr: 1.000e-03 eta: 15:58:17 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.4812 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5957 loss: 1.5957 2022/06/28 05:44:05 - mmengine - INFO - Epoch(train) [43][1340/3757] lr: 1.000e-03 eta: 15:58:11 time: 0.211 data_time: 0.011 memory: 5148 grad_norm: 5.0497 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5771 loss: 1.5771 2022/06/28 05:44:10 - mmengine - INFO - Epoch(train) [43][1360/3757] lr: 1.000e-03 eta: 15:58:06 time: 0.256 data_time: 0.010 memory: 5148 grad_norm: 4.5322 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4142 loss: 1.4142 2022/06/28 05:44:16 - mmengine - INFO - Epoch(train) [43][1380/3757] lr: 1.000e-03 eta: 15:58:02 time: 0.205 data_time: 0.006 memory: 5148 grad_norm: 5.6773 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4261 loss: 1.4261 2022/06/28 05:44:21 - mmengine - INFO - Epoch(train) [43][1400/3757] lr: 1.000e-03 eta: 15:57:56 time: 0.216 data_time: 0.010 memory: 5148 grad_norm: 6.5266 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7093 loss: 1.7093 2022/06/28 05:44:26 - mmengine - INFO - Epoch(train) [43][1420/3757] lr: 1.000e-03 eta: 15:57:51 time: 0.248 data_time: 0.007 memory: 5148 grad_norm: 5.4636 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4881 loss: 1.4881 2022/06/28 05:44:32 - mmengine - INFO - Epoch(train) [43][1440/3757] lr: 1.000e-03 eta: 15:57:46 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 6.1057 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2623 loss: 1.2623 2022/06/28 05:44:37 - mmengine - INFO - Epoch(train) [43][1460/3757] lr: 1.000e-03 eta: 15:57:40 time: 0.409 data_time: 0.013 memory: 5148 grad_norm: 6.0086 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8059 loss: 1.8059 2022/06/28 05:44:42 - mmengine - INFO - Epoch(train) [43][1480/3757] lr: 1.000e-03 eta: 15:57:35 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 5.8419 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5813 loss: 1.5813 2022/06/28 05:44:48 - mmengine - INFO - Epoch(train) [43][1500/3757] lr: 1.000e-03 eta: 15:57:30 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 6.3539 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4265 loss: 1.4265 2022/06/28 05:44:53 - mmengine - INFO - Epoch(train) [43][1520/3757] lr: 1.000e-03 eta: 15:57:24 time: 0.216 data_time: 0.011 memory: 5148 grad_norm: 5.9032 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4706 loss: 1.4706 2022/06/28 05:44:58 - mmengine - INFO - Epoch(train) [43][1540/3757] lr: 1.000e-03 eta: 15:57:19 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 5.7551 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7877 loss: 1.7877 2022/06/28 05:45:04 - mmengine - INFO - Epoch(train) [43][1560/3757] lr: 1.000e-03 eta: 15:57:14 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.9145 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2605 loss: 1.2605 2022/06/28 05:45:09 - mmengine - INFO - Epoch(train) [43][1580/3757] lr: 1.000e-03 eta: 15:57:08 time: 0.210 data_time: 0.011 memory: 5148 grad_norm: 5.5534 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5543 loss: 1.5543 2022/06/28 05:45:14 - mmengine - INFO - Epoch(train) [43][1600/3757] lr: 1.000e-03 eta: 15:57:03 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 6.4227 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2726 loss: 1.2726 2022/06/28 05:45:20 - mmengine - INFO - Epoch(train) [43][1620/3757] lr: 1.000e-03 eta: 15:56:58 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 5.3884 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3102 loss: 1.3102 2022/06/28 05:45:25 - mmengine - INFO - Epoch(train) [43][1640/3757] lr: 1.000e-03 eta: 15:56:53 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 6.0694 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3103 loss: 1.3103 2022/06/28 05:45:30 - mmengine - INFO - Epoch(train) [43][1660/3757] lr: 1.000e-03 eta: 15:56:46 time: 0.209 data_time: 0.012 memory: 5148 grad_norm: 6.1474 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5230 loss: 1.5230 2022/06/28 05:45:35 - mmengine - INFO - Epoch(train) [43][1680/3757] lr: 1.000e-03 eta: 15:56:41 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 6.2175 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6468 loss: 1.6468 2022/06/28 05:45:40 - mmengine - INFO - Epoch(train) [43][1700/3757] lr: 1.000e-03 eta: 15:56:36 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 5.4717 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1095 loss: 2.1095 2022/06/28 05:45:45 - mmengine - INFO - Epoch(train) [43][1720/3757] lr: 1.000e-03 eta: 15:56:30 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 6.3968 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6444 loss: 1.6444 2022/06/28 05:45:51 - mmengine - INFO - Epoch(train) [43][1740/3757] lr: 1.000e-03 eta: 15:56:25 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 5.0854 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5359 loss: 1.5359 2022/06/28 05:45:56 - mmengine - INFO - Epoch(train) [43][1760/3757] lr: 1.000e-03 eta: 15:56:20 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 6.3008 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8137 loss: 1.8137 2022/06/28 05:46:02 - mmengine - INFO - Epoch(train) [43][1780/3757] lr: 1.000e-03 eta: 15:56:15 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 5.9080 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6036 loss: 1.6036 2022/06/28 05:46:07 - mmengine - INFO - Epoch(train) [43][1800/3757] lr: 1.000e-03 eta: 15:56:10 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 6.5794 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3161 loss: 1.3161 2022/06/28 05:46:12 - mmengine - INFO - Epoch(train) [43][1820/3757] lr: 1.000e-03 eta: 15:56:04 time: 0.210 data_time: 0.012 memory: 5148 grad_norm: 5.4770 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7575 loss: 1.7575 2022/06/28 05:46:17 - mmengine - INFO - Epoch(train) [43][1840/3757] lr: 1.000e-03 eta: 15:55:58 time: 0.192 data_time: 0.014 memory: 5148 grad_norm: 5.8432 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8868 loss: 1.8868 2022/06/28 05:46:23 - mmengine - INFO - Epoch(train) [43][1860/3757] lr: 1.000e-03 eta: 15:55:53 time: 0.199 data_time: 0.017 memory: 5148 grad_norm: 6.5460 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6530 loss: 1.6530 2022/06/28 05:46:28 - mmengine - INFO - Epoch(train) [43][1880/3757] lr: 1.000e-03 eta: 15:55:48 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.0958 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5715 loss: 1.5715 2022/06/28 05:46:33 - mmengine - INFO - Epoch(train) [43][1900/3757] lr: 1.000e-03 eta: 15:55:43 time: 0.206 data_time: 0.018 memory: 5148 grad_norm: 4.6074 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5615 loss: 1.5615 2022/06/28 05:46:39 - mmengine - INFO - Epoch(train) [43][1920/3757] lr: 1.000e-03 eta: 15:55:38 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.7209 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6247 loss: 1.6247 2022/06/28 05:46:45 - mmengine - INFO - Epoch(train) [43][1940/3757] lr: 1.000e-03 eta: 15:55:33 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 6.6185 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0760 loss: 1.0760 2022/06/28 05:46:50 - mmengine - INFO - Epoch(train) [43][1960/3757] lr: 1.000e-03 eta: 15:55:28 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 5.3500 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1818 loss: 1.1818 2022/06/28 05:46:56 - mmengine - INFO - Epoch(train) [43][1980/3757] lr: 1.000e-03 eta: 15:55:23 time: 0.236 data_time: 0.007 memory: 5148 grad_norm: 6.7078 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6802 loss: 1.6802 2022/06/28 05:47:01 - mmengine - INFO - Epoch(train) [43][2000/3757] lr: 1.000e-03 eta: 15:55:17 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 5.9468 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6238 loss: 1.6238 2022/06/28 05:47:06 - mmengine - INFO - Epoch(train) [43][2020/3757] lr: 1.000e-03 eta: 15:55:12 time: 0.198 data_time: 0.015 memory: 5148 grad_norm: 6.5221 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9631 loss: 1.9631 2022/06/28 05:47:12 - mmengine - INFO - Epoch(train) [43][2040/3757] lr: 1.000e-03 eta: 15:55:07 time: 0.204 data_time: 0.013 memory: 5148 grad_norm: 5.4676 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2016 loss: 2.2016 2022/06/28 05:47:17 - mmengine - INFO - Epoch(train) [43][2060/3757] lr: 1.000e-03 eta: 15:55:01 time: 0.194 data_time: 0.011 memory: 5148 grad_norm: 5.2752 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7331 loss: 1.7331 2022/06/28 05:47:22 - mmengine - INFO - Epoch(train) [43][2080/3757] lr: 1.000e-03 eta: 15:54:56 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 6.7978 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.5411 loss: 1.5411 2022/06/28 05:47:28 - mmengine - INFO - Epoch(train) [43][2100/3757] lr: 1.000e-03 eta: 15:54:51 time: 0.196 data_time: 0.006 memory: 5148 grad_norm: 5.1541 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8063 loss: 1.8063 2022/06/28 05:47:32 - mmengine - INFO - Epoch(train) [43][2120/3757] lr: 1.000e-03 eta: 15:54:45 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 6.5079 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3973 loss: 1.3973 2022/06/28 05:47:38 - mmengine - INFO - Epoch(train) [43][2140/3757] lr: 1.000e-03 eta: 15:54:40 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.0196 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6439 loss: 1.6439 2022/06/28 05:47:44 - mmengine - INFO - Epoch(train) [43][2160/3757] lr: 1.000e-03 eta: 15:54:35 time: 0.226 data_time: 0.007 memory: 5148 grad_norm: 5.2183 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4564 loss: 1.4564 2022/06/28 05:47:48 - mmengine - INFO - Epoch(train) [43][2180/3757] lr: 1.000e-03 eta: 15:54:29 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 6.2272 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5594 loss: 1.5594 2022/06/28 05:47:53 - mmengine - INFO - Epoch(train) [43][2200/3757] lr: 1.000e-03 eta: 15:54:23 time: 0.390 data_time: 0.013 memory: 5148 grad_norm: 5.7741 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4118 loss: 1.4118 2022/06/28 05:47:55 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 05:47:59 - mmengine - INFO - Epoch(train) [43][2220/3757] lr: 1.000e-03 eta: 15:54:18 time: 0.678 data_time: 0.012 memory: 5148 grad_norm: 6.3198 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6951 loss: 1.6951 2022/06/28 05:48:04 - mmengine - INFO - Epoch(train) [43][2240/3757] lr: 1.000e-03 eta: 15:54:12 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 7.1038 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1197 loss: 1.1197 2022/06/28 05:48:09 - mmengine - INFO - Epoch(train) [43][2260/3757] lr: 1.000e-03 eta: 15:54:07 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 5.3869 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6291 loss: 1.6291 2022/06/28 05:48:15 - mmengine - INFO - Epoch(train) [43][2280/3757] lr: 1.000e-03 eta: 15:54:02 time: 0.706 data_time: 0.007 memory: 5148 grad_norm: 5.0401 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3837 loss: 1.3837 2022/06/28 05:48:19 - mmengine - INFO - Epoch(train) [43][2300/3757] lr: 1.000e-03 eta: 15:53:56 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.4659 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7332 loss: 1.7332 2022/06/28 05:48:25 - mmengine - INFO - Epoch(train) [43][2320/3757] lr: 1.000e-03 eta: 15:53:51 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 7.1890 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6720 loss: 1.6720 2022/06/28 05:48:30 - mmengine - INFO - Epoch(train) [43][2340/3757] lr: 1.000e-03 eta: 15:53:46 time: 0.207 data_time: 0.006 memory: 5148 grad_norm: 5.8466 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5401 loss: 1.5401 2022/06/28 05:48:36 - mmengine - INFO - Epoch(train) [43][2360/3757] lr: 1.000e-03 eta: 15:53:40 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 7.2026 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.9662 loss: 1.9662 2022/06/28 05:48:41 - mmengine - INFO - Epoch(train) [43][2380/3757] lr: 1.000e-03 eta: 15:53:35 time: 0.207 data_time: 0.006 memory: 5148 grad_norm: 4.8597 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2823 loss: 1.2823 2022/06/28 05:48:46 - mmengine - INFO - Epoch(train) [43][2400/3757] lr: 1.000e-03 eta: 15:53:30 time: 0.212 data_time: 0.008 memory: 5148 grad_norm: 5.0689 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4428 loss: 1.4428 2022/06/28 05:48:52 - mmengine - INFO - Epoch(train) [43][2420/3757] lr: 1.000e-03 eta: 15:53:25 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 5.7971 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5799 loss: 1.5799 2022/06/28 05:48:58 - mmengine - INFO - Epoch(train) [43][2440/3757] lr: 1.000e-03 eta: 15:53:21 time: 0.225 data_time: 0.007 memory: 5148 grad_norm: 6.6927 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6184 loss: 1.6184 2022/06/28 05:49:02 - mmengine - INFO - Epoch(train) [43][2460/3757] lr: 1.000e-03 eta: 15:53:14 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.6233 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5883 loss: 1.5883 2022/06/28 05:49:08 - mmengine - INFO - Epoch(train) [43][2480/3757] lr: 1.000e-03 eta: 15:53:09 time: 0.238 data_time: 0.007 memory: 5148 grad_norm: 6.4517 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2764 loss: 1.2764 2022/06/28 05:49:14 - mmengine - INFO - Epoch(train) [43][2500/3757] lr: 1.000e-03 eta: 15:53:05 time: 0.226 data_time: 0.007 memory: 5148 grad_norm: 5.0014 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3716 loss: 1.3716 2022/06/28 05:49:19 - mmengine - INFO - Epoch(train) [43][2520/3757] lr: 1.000e-03 eta: 15:52:59 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 5.9170 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6324 loss: 1.6324 2022/06/28 05:49:25 - mmengine - INFO - Epoch(train) [43][2540/3757] lr: 1.000e-03 eta: 15:52:54 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 6.3275 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5618 loss: 1.5618 2022/06/28 05:49:30 - mmengine - INFO - Epoch(train) [43][2560/3757] lr: 1.000e-03 eta: 15:52:48 time: 0.200 data_time: 0.016 memory: 5148 grad_norm: 5.5462 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6737 loss: 1.6737 2022/06/28 05:49:35 - mmengine - INFO - Epoch(train) [43][2580/3757] lr: 1.000e-03 eta: 15:52:42 time: 0.191 data_time: 0.008 memory: 5148 grad_norm: 5.2240 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7776 loss: 1.7776 2022/06/28 05:49:40 - mmengine - INFO - Epoch(train) [43][2600/3757] lr: 1.000e-03 eta: 15:52:37 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 6.0490 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6691 loss: 1.6691 2022/06/28 05:49:46 - mmengine - INFO - Epoch(train) [43][2620/3757] lr: 1.000e-03 eta: 15:52:32 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 5.5421 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5104 loss: 1.5104 2022/06/28 05:49:50 - mmengine - INFO - Epoch(train) [43][2640/3757] lr: 1.000e-03 eta: 15:52:26 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 5.6337 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6712 loss: 1.6712 2022/06/28 05:49:56 - mmengine - INFO - Epoch(train) [43][2660/3757] lr: 1.000e-03 eta: 15:52:21 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 5.1064 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5463 loss: 1.5463 2022/06/28 05:50:01 - mmengine - INFO - Epoch(train) [43][2680/3757] lr: 1.000e-03 eta: 15:52:16 time: 0.208 data_time: 0.014 memory: 5148 grad_norm: 5.1196 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4043 loss: 1.4043 2022/06/28 05:50:06 - mmengine - INFO - Epoch(train) [43][2700/3757] lr: 1.000e-03 eta: 15:52:10 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 7.4063 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2723 loss: 1.2723 2022/06/28 05:50:12 - mmengine - INFO - Epoch(train) [43][2720/3757] lr: 1.000e-03 eta: 15:52:05 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.8578 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2395 loss: 1.2395 2022/06/28 05:50:17 - mmengine - INFO - Epoch(train) [43][2740/3757] lr: 1.000e-03 eta: 15:52:00 time: 0.206 data_time: 0.012 memory: 5148 grad_norm: 5.8559 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.3806 loss: 1.3806 2022/06/28 05:50:22 - mmengine - INFO - Epoch(train) [43][2760/3757] lr: 1.000e-03 eta: 15:51:54 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 5.3386 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5262 loss: 1.5262 2022/06/28 05:50:27 - mmengine - INFO - Epoch(train) [43][2780/3757] lr: 1.000e-03 eta: 15:51:49 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 6.0792 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3306 loss: 1.3306 2022/06/28 05:50:33 - mmengine - INFO - Epoch(train) [43][2800/3757] lr: 1.000e-03 eta: 15:51:44 time: 0.205 data_time: 0.021 memory: 5148 grad_norm: 6.4081 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4366 loss: 1.4366 2022/06/28 05:50:38 - mmengine - INFO - Epoch(train) [43][2820/3757] lr: 1.000e-03 eta: 15:51:39 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 6.0838 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6678 loss: 1.6678 2022/06/28 05:50:44 - mmengine - INFO - Epoch(train) [43][2840/3757] lr: 1.000e-03 eta: 15:51:33 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 6.3559 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6311 loss: 1.6311 2022/06/28 05:50:49 - mmengine - INFO - Epoch(train) [43][2860/3757] lr: 1.000e-03 eta: 15:51:28 time: 0.204 data_time: 0.017 memory: 5148 grad_norm: 5.3824 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7799 loss: 1.7799 2022/06/28 05:50:55 - mmengine - INFO - Epoch(train) [43][2880/3757] lr: 1.000e-03 eta: 15:51:23 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.3334 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6982 loss: 1.6982 2022/06/28 05:51:00 - mmengine - INFO - Epoch(train) [43][2900/3757] lr: 1.000e-03 eta: 15:51:18 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 6.8525 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5822 loss: 1.5822 2022/06/28 05:51:06 - mmengine - INFO - Epoch(train) [43][2920/3757] lr: 1.000e-03 eta: 15:51:13 time: 0.230 data_time: 0.020 memory: 5148 grad_norm: 5.6511 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3598 loss: 1.3598 2022/06/28 05:51:11 - mmengine - INFO - Epoch(train) [43][2940/3757] lr: 1.000e-03 eta: 15:51:08 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.9428 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2593 loss: 1.2593 2022/06/28 05:51:16 - mmengine - INFO - Epoch(train) [43][2960/3757] lr: 1.000e-03 eta: 15:51:02 time: 0.220 data_time: 0.007 memory: 5148 grad_norm: 6.5704 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4029 loss: 1.4029 2022/06/28 05:51:21 - mmengine - INFO - Epoch(train) [43][2980/3757] lr: 1.000e-03 eta: 15:50:56 time: 0.215 data_time: 0.034 memory: 5148 grad_norm: 5.3559 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3516 loss: 1.3516 2022/06/28 05:51:26 - mmengine - INFO - Epoch(train) [43][3000/3757] lr: 1.000e-03 eta: 15:50:51 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 6.3920 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6355 loss: 1.6355 2022/06/28 05:51:32 - mmengine - INFO - Epoch(train) [43][3020/3757] lr: 1.000e-03 eta: 15:50:46 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 6.5936 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4456 loss: 1.4456 2022/06/28 05:51:37 - mmengine - INFO - Epoch(train) [43][3040/3757] lr: 1.000e-03 eta: 15:50:40 time: 0.203 data_time: 0.023 memory: 5148 grad_norm: 5.7952 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.4323 loss: 1.4323 2022/06/28 05:51:42 - mmengine - INFO - Epoch(train) [43][3060/3757] lr: 1.000e-03 eta: 15:50:34 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 7.3357 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9681 loss: 1.9681 2022/06/28 05:51:47 - mmengine - INFO - Epoch(train) [43][3080/3757] lr: 1.000e-03 eta: 15:50:30 time: 0.193 data_time: 0.008 memory: 5148 grad_norm: 6.2928 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5131 loss: 1.5131 2022/06/28 05:51:53 - mmengine - INFO - Epoch(train) [43][3100/3757] lr: 1.000e-03 eta: 15:50:25 time: 0.213 data_time: 0.019 memory: 5148 grad_norm: 5.4562 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1028 loss: 1.1028 2022/06/28 05:51:58 - mmengine - INFO - Epoch(train) [43][3120/3757] lr: 1.000e-03 eta: 15:50:19 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 6.0935 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6999 loss: 1.6999 2022/06/28 05:52:04 - mmengine - INFO - Epoch(train) [43][3140/3757] lr: 1.000e-03 eta: 15:50:15 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.4185 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4361 loss: 1.4361 2022/06/28 05:52:10 - mmengine - INFO - Epoch(train) [43][3160/3757] lr: 1.000e-03 eta: 15:50:10 time: 0.244 data_time: 0.020 memory: 5148 grad_norm: 5.8240 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5307 loss: 1.5307 2022/06/28 05:52:15 - mmengine - INFO - Epoch(train) [43][3180/3757] lr: 1.000e-03 eta: 15:50:04 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 5.5251 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.7372 loss: 1.7372 2022/06/28 05:52:20 - mmengine - INFO - Epoch(train) [43][3200/3757] lr: 1.000e-03 eta: 15:49:59 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.9954 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6784 loss: 1.6784 2022/06/28 05:52:22 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 05:52:25 - mmengine - INFO - Epoch(train) [43][3220/3757] lr: 1.000e-03 eta: 15:49:53 time: 0.208 data_time: 0.010 memory: 5148 grad_norm: 6.2932 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4307 loss: 1.4307 2022/06/28 05:52:30 - mmengine - INFO - Epoch(train) [43][3240/3757] lr: 1.000e-03 eta: 15:49:47 time: 0.197 data_time: 0.017 memory: 5148 grad_norm: 6.2568 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5617 loss: 1.5617 2022/06/28 05:52:36 - mmengine - INFO - Epoch(train) [43][3260/3757] lr: 1.000e-03 eta: 15:49:42 time: 0.200 data_time: 0.013 memory: 5148 grad_norm: 5.6750 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5314 loss: 1.5314 2022/06/28 05:52:41 - mmengine - INFO - Epoch(train) [43][3280/3757] lr: 1.000e-03 eta: 15:49:37 time: 0.204 data_time: 0.020 memory: 5148 grad_norm: 6.4281 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7392 loss: 1.7392 2022/06/28 05:52:46 - mmengine - INFO - Epoch(train) [43][3300/3757] lr: 1.000e-03 eta: 15:49:31 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.9247 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4595 loss: 1.4595 2022/06/28 05:52:52 - mmengine - INFO - Epoch(train) [43][3320/3757] lr: 1.000e-03 eta: 15:49:26 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 5.5443 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0300 loss: 1.0300 2022/06/28 05:52:57 - mmengine - INFO - Epoch(train) [43][3340/3757] lr: 1.000e-03 eta: 15:49:21 time: 0.211 data_time: 0.019 memory: 5148 grad_norm: 6.3427 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6145 loss: 1.6145 2022/06/28 05:53:02 - mmengine - INFO - Epoch(train) [43][3360/3757] lr: 1.000e-03 eta: 15:49:16 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 5.2727 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7194 loss: 1.7194 2022/06/28 05:53:08 - mmengine - INFO - Epoch(train) [43][3380/3757] lr: 1.000e-03 eta: 15:49:11 time: 0.190 data_time: 0.008 memory: 5148 grad_norm: 5.8217 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7748 loss: 1.7748 2022/06/28 05:53:13 - mmengine - INFO - Epoch(train) [43][3400/3757] lr: 1.000e-03 eta: 15:49:06 time: 0.229 data_time: 0.017 memory: 5148 grad_norm: 5.3319 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5710 loss: 1.5710 2022/06/28 05:53:18 - mmengine - INFO - Epoch(train) [43][3420/3757] lr: 1.000e-03 eta: 15:49:00 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.4492 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8166 loss: 1.8166 2022/06/28 05:53:24 - mmengine - INFO - Epoch(train) [43][3440/3757] lr: 1.000e-03 eta: 15:48:55 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.7653 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3017 loss: 1.3017 2022/06/28 05:53:29 - mmengine - INFO - Epoch(train) [43][3460/3757] lr: 1.000e-03 eta: 15:48:50 time: 0.226 data_time: 0.006 memory: 5148 grad_norm: 6.4769 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9750 loss: 1.9750 2022/06/28 05:53:34 - mmengine - INFO - Epoch(train) [43][3480/3757] lr: 1.000e-03 eta: 15:48:44 time: 0.210 data_time: 0.010 memory: 5148 grad_norm: 4.9177 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3576 loss: 1.3576 2022/06/28 05:53:40 - mmengine - INFO - Epoch(train) [43][3500/3757] lr: 1.000e-03 eta: 15:48:40 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.1883 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5458 loss: 1.5458 2022/06/28 05:53:45 - mmengine - INFO - Epoch(train) [43][3520/3757] lr: 1.000e-03 eta: 15:48:33 time: 0.222 data_time: 0.012 memory: 5148 grad_norm: 7.1892 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4452 loss: 1.4452 2022/06/28 05:53:50 - mmengine - INFO - Epoch(train) [43][3540/3757] lr: 1.000e-03 eta: 15:48:28 time: 0.209 data_time: 0.010 memory: 5148 grad_norm: 5.9078 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4594 loss: 1.4594 2022/06/28 05:53:56 - mmengine - INFO - Epoch(train) [43][3560/3757] lr: 1.000e-03 eta: 15:48:23 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 7.0963 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6619 loss: 1.6619 2022/06/28 05:54:01 - mmengine - INFO - Epoch(train) [43][3580/3757] lr: 1.000e-03 eta: 15:48:18 time: 0.233 data_time: 0.012 memory: 5148 grad_norm: 6.2054 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6708 loss: 1.6708 2022/06/28 05:54:06 - mmengine - INFO - Epoch(train) [43][3600/3757] lr: 1.000e-03 eta: 15:48:12 time: 0.204 data_time: 0.018 memory: 5148 grad_norm: 5.6119 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4483 loss: 1.4483 2022/06/28 05:54:12 - mmengine - INFO - Epoch(train) [43][3620/3757] lr: 1.000e-03 eta: 15:48:07 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.6575 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3918 loss: 1.3918 2022/06/28 05:54:17 - mmengine - INFO - Epoch(train) [43][3640/3757] lr: 1.000e-03 eta: 15:48:02 time: 0.219 data_time: 0.012 memory: 5148 grad_norm: 5.7840 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5784 loss: 1.5784 2022/06/28 05:54:22 - mmengine - INFO - Epoch(train) [43][3660/3757] lr: 1.000e-03 eta: 15:47:56 time: 0.192 data_time: 0.011 memory: 5148 grad_norm: 5.5282 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.6766 loss: 1.6766 2022/06/28 05:54:28 - mmengine - INFO - Epoch(train) [43][3680/3757] lr: 1.000e-03 eta: 15:47:51 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 6.6545 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3420 loss: 1.3420 2022/06/28 05:54:33 - mmengine - INFO - Epoch(train) [43][3700/3757] lr: 1.000e-03 eta: 15:47:46 time: 0.448 data_time: 0.006 memory: 5148 grad_norm: 5.8502 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5624 loss: 1.5624 2022/06/28 05:54:38 - mmengine - INFO - Epoch(train) [43][3720/3757] lr: 1.000e-03 eta: 15:47:41 time: 0.232 data_time: 0.014 memory: 5148 grad_norm: 5.9152 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6504 loss: 1.6504 2022/06/28 05:54:44 - mmengine - INFO - Epoch(train) [43][3740/3757] lr: 1.000e-03 eta: 15:47:36 time: 0.199 data_time: 0.021 memory: 5148 grad_norm: 5.2405 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2696 loss: 1.2696 2022/06/28 05:54:47 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 05:54:54 - mmengine - INFO - Epoch(val) [43][20/310] eta: 0:01:10 time: 0.172 data_time: 0.100 memory: 5148 2022/06/28 05:54:59 - mmengine - INFO - Epoch(val) [43][40/310] eta: 0:01:02 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 05:55:05 - mmengine - INFO - Epoch(val) [43][60/310] eta: 0:01:04 time: 0.480 data_time: 0.409 memory: 1367 2022/06/28 05:55:10 - mmengine - INFO - Epoch(val) [43][80/310] eta: 0:00:57 time: 0.078 data_time: 0.006 memory: 1367 2022/06/28 05:55:16 - mmengine - INFO - Epoch(val) [43][100/310] eta: 0:01:00 time: 0.557 data_time: 0.481 memory: 1367 2022/06/28 05:55:20 - mmengine - INFO - Epoch(val) [43][120/310] eta: 0:00:42 time: 0.121 data_time: 0.050 memory: 1367 2022/06/28 05:55:27 - mmengine - INFO - Epoch(val) [43][140/310] eta: 0:00:56 time: 1.143 data_time: 1.068 memory: 1367 2022/06/28 05:55:31 - mmengine - INFO - Epoch(val) [43][160/310] eta: 0:00:35 time: 0.302 data_time: 0.230 memory: 1367 2022/06/28 05:55:37 - mmengine - INFO - Epoch(val) [43][180/310] eta: 0:00:49 time: 1.475 data_time: 1.403 memory: 1367 2022/06/28 05:55:42 - mmengine - INFO - Epoch(val) [43][200/310] eta: 0:00:25 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 05:55:48 - mmengine - INFO - Epoch(val) [43][220/310] eta: 0:00:32 time: 1.257 data_time: 1.177 memory: 1367 2022/06/28 05:55:52 - mmengine - INFO - Epoch(val) [43][240/310] eta: 0:00:15 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 05:55:58 - mmengine - INFO - Epoch(val) [43][260/310] eta: 0:00:17 time: 1.059 data_time: 0.988 memory: 1367 2022/06/28 05:56:03 - mmengine - INFO - Epoch(val) [43][280/310] eta: 0:00:06 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 05:56:09 - mmengine - INFO - Epoch(val) [43][300/310] eta: 0:00:03 time: 1.078 data_time: 1.007 memory: 1367 2022/06/28 05:56:12 - mmengine - INFO - Epoch(val) [43][310/310] acc/top1: 0.6297 acc/top5: 0.8459 acc/mean1: 0.6296 2022/06/28 05:56:20 - mmengine - INFO - Epoch(train) [44][20/3757] lr: 1.000e-03 eta: 15:47:27 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 7.2564 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7057 loss: 1.7057 2022/06/28 05:56:26 - mmengine - INFO - Epoch(train) [44][40/3757] lr: 1.000e-03 eta: 15:47:22 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.7447 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3005 loss: 1.3005 2022/06/28 05:56:31 - mmengine - INFO - Epoch(train) [44][60/3757] lr: 1.000e-03 eta: 15:47:16 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 5.9171 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2855 loss: 1.2855 2022/06/28 05:56:37 - mmengine - INFO - Epoch(train) [44][80/3757] lr: 1.000e-03 eta: 15:47:11 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.1899 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6735 loss: 1.6735 2022/06/28 05:56:42 - mmengine - INFO - Epoch(train) [44][100/3757] lr: 1.000e-03 eta: 15:47:06 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.4519 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4491 loss: 1.4491 2022/06/28 05:56:47 - mmengine - INFO - Epoch(train) [44][120/3757] lr: 1.000e-03 eta: 15:47:00 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 5.1386 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5544 loss: 1.5544 2022/06/28 05:56:53 - mmengine - INFO - Epoch(train) [44][140/3757] lr: 1.000e-03 eta: 15:46:56 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.1104 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6940 loss: 1.6940 2022/06/28 05:56:59 - mmengine - INFO - Epoch(train) [44][160/3757] lr: 1.000e-03 eta: 15:46:51 time: 0.198 data_time: 0.012 memory: 5148 grad_norm: 5.6210 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4320 loss: 1.4320 2022/06/28 05:57:04 - mmengine - INFO - Epoch(train) [44][180/3757] lr: 1.000e-03 eta: 15:46:45 time: 0.255 data_time: 0.008 memory: 5148 grad_norm: 5.2963 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1043 loss: 1.1043 2022/06/28 05:57:09 - mmengine - INFO - Epoch(train) [44][200/3757] lr: 1.000e-03 eta: 15:46:40 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 6.1156 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5016 loss: 1.5016 2022/06/28 05:57:15 - mmengine - INFO - Epoch(train) [44][220/3757] lr: 1.000e-03 eta: 15:46:35 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 7.3563 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6619 loss: 1.6619 2022/06/28 05:57:20 - mmengine - INFO - Epoch(train) [44][240/3757] lr: 1.000e-03 eta: 15:46:30 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 5.2393 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5597 loss: 1.5597 2022/06/28 05:57:26 - mmengine - INFO - Epoch(train) [44][260/3757] lr: 1.000e-03 eta: 15:46:25 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.5139 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7063 loss: 1.7063 2022/06/28 05:57:30 - mmengine - INFO - Epoch(train) [44][280/3757] lr: 1.000e-03 eta: 15:46:19 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 6.8735 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3242 loss: 1.3242 2022/06/28 05:57:35 - mmengine - INFO - Epoch(train) [44][300/3757] lr: 1.000e-03 eta: 15:46:13 time: 0.202 data_time: 0.012 memory: 5148 grad_norm: 5.1581 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2357 loss: 1.2357 2022/06/28 05:57:41 - mmengine - INFO - Epoch(train) [44][320/3757] lr: 1.000e-03 eta: 15:46:08 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 5.7789 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3520 loss: 1.3520 2022/06/28 05:57:46 - mmengine - INFO - Epoch(train) [44][340/3757] lr: 1.000e-03 eta: 15:46:03 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 6.8190 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7720 loss: 1.7720 2022/06/28 05:57:51 - mmengine - INFO - Epoch(train) [44][360/3757] lr: 1.000e-03 eta: 15:45:57 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 6.8399 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4592 loss: 1.4592 2022/06/28 05:57:57 - mmengine - INFO - Epoch(train) [44][380/3757] lr: 1.000e-03 eta: 15:45:52 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.4904 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6308 loss: 1.6308 2022/06/28 05:58:03 - mmengine - INFO - Epoch(train) [44][400/3757] lr: 1.000e-03 eta: 15:45:48 time: 0.235 data_time: 0.007 memory: 5148 grad_norm: 5.6236 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6117 loss: 1.6117 2022/06/28 05:58:08 - mmengine - INFO - Epoch(train) [44][420/3757] lr: 1.000e-03 eta: 15:45:42 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 6.5690 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4277 loss: 1.4277 2022/06/28 05:58:13 - mmengine - INFO - Epoch(train) [44][440/3757] lr: 1.000e-03 eta: 15:45:37 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 6.9907 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8827 loss: 1.8827 2022/06/28 05:58:16 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 05:58:19 - mmengine - INFO - Epoch(train) [44][460/3757] lr: 1.000e-03 eta: 15:45:32 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 6.2480 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5624 loss: 1.5624 2022/06/28 05:58:23 - mmengine - INFO - Epoch(train) [44][480/3757] lr: 1.000e-03 eta: 15:45:25 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 5.1273 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2907 loss: 1.2907 2022/06/28 05:58:29 - mmengine - INFO - Epoch(train) [44][500/3757] lr: 1.000e-03 eta: 15:45:21 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.8875 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4168 loss: 1.4168 2022/06/28 05:58:35 - mmengine - INFO - Epoch(train) [44][520/3757] lr: 1.000e-03 eta: 15:45:16 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.9589 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5846 loss: 1.5846 2022/06/28 05:58:39 - mmengine - INFO - Epoch(train) [44][540/3757] lr: 1.000e-03 eta: 15:45:10 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 5.2285 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7480 loss: 1.7480 2022/06/28 05:58:45 - mmengine - INFO - Epoch(train) [44][560/3757] lr: 1.000e-03 eta: 15:45:05 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 6.5536 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5547 loss: 1.5547 2022/06/28 05:58:51 - mmengine - INFO - Epoch(train) [44][580/3757] lr: 1.000e-03 eta: 15:45:00 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.9431 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8345 loss: 1.8345 2022/06/28 05:58:55 - mmengine - INFO - Epoch(train) [44][600/3757] lr: 1.000e-03 eta: 15:44:54 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 5.1244 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4720 loss: 1.4720 2022/06/28 05:59:01 - mmengine - INFO - Epoch(train) [44][620/3757] lr: 1.000e-03 eta: 15:44:49 time: 0.206 data_time: 0.014 memory: 5148 grad_norm: 5.7282 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4372 loss: 1.4372 2022/06/28 05:59:06 - mmengine - INFO - Epoch(train) [44][640/3757] lr: 1.000e-03 eta: 15:44:44 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 5.9594 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3290 loss: 1.3290 2022/06/28 05:59:11 - mmengine - INFO - Epoch(train) [44][660/3757] lr: 1.000e-03 eta: 15:44:38 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 6.0611 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2813 loss: 1.2813 2022/06/28 05:59:17 - mmengine - INFO - Epoch(train) [44][680/3757] lr: 1.000e-03 eta: 15:44:33 time: 0.204 data_time: 0.022 memory: 5148 grad_norm: 5.9914 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8052 loss: 1.8052 2022/06/28 05:59:22 - mmengine - INFO - Epoch(train) [44][700/3757] lr: 1.000e-03 eta: 15:44:28 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.7920 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7607 loss: 1.7607 2022/06/28 05:59:27 - mmengine - INFO - Epoch(train) [44][720/3757] lr: 1.000e-03 eta: 15:44:22 time: 0.468 data_time: 0.006 memory: 5148 grad_norm: 5.7600 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4722 loss: 1.4722 2022/06/28 05:59:33 - mmengine - INFO - Epoch(train) [44][740/3757] lr: 1.000e-03 eta: 15:44:17 time: 0.211 data_time: 0.020 memory: 5148 grad_norm: 7.2090 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9352 loss: 1.9352 2022/06/28 05:59:38 - mmengine - INFO - Epoch(train) [44][760/3757] lr: 1.000e-03 eta: 15:44:12 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.7559 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5477 loss: 1.5477 2022/06/28 05:59:44 - mmengine - INFO - Epoch(train) [44][780/3757] lr: 1.000e-03 eta: 15:44:07 time: 1.274 data_time: 0.006 memory: 5148 grad_norm: 5.2668 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7038 loss: 1.7038 2022/06/28 05:59:49 - mmengine - INFO - Epoch(train) [44][800/3757] lr: 1.000e-03 eta: 15:44:01 time: 0.283 data_time: 0.030 memory: 5148 grad_norm: 6.0095 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5391 loss: 1.5391 2022/06/28 05:59:54 - mmengine - INFO - Epoch(train) [44][820/3757] lr: 1.000e-03 eta: 15:43:56 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 6.2169 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5037 loss: 1.5037 2022/06/28 06:00:00 - mmengine - INFO - Epoch(train) [44][840/3757] lr: 1.000e-03 eta: 15:43:51 time: 0.920 data_time: 0.006 memory: 5148 grad_norm: 5.9496 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7612 loss: 1.7612 2022/06/28 06:00:06 - mmengine - INFO - Epoch(train) [44][860/3757] lr: 1.000e-03 eta: 15:43:46 time: 0.213 data_time: 0.012 memory: 5148 grad_norm: 5.7441 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2901 loss: 1.2901 2022/06/28 06:00:10 - mmengine - INFO - Epoch(train) [44][880/3757] lr: 1.000e-03 eta: 15:43:40 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 5.3140 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3488 loss: 1.3488 2022/06/28 06:00:16 - mmengine - INFO - Epoch(train) [44][900/3757] lr: 1.000e-03 eta: 15:43:35 time: 0.215 data_time: 0.006 memory: 5148 grad_norm: 5.3997 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3600 loss: 1.3600 2022/06/28 06:00:21 - mmengine - INFO - Epoch(train) [44][920/3757] lr: 1.000e-03 eta: 15:43:29 time: 1.000 data_time: 0.010 memory: 5148 grad_norm: 6.6314 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4764 loss: 1.4764 2022/06/28 06:00:26 - mmengine - INFO - Epoch(train) [44][940/3757] lr: 1.000e-03 eta: 15:43:24 time: 0.192 data_time: 0.006 memory: 5148 grad_norm: 5.2657 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2903 loss: 1.2903 2022/06/28 06:00:31 - mmengine - INFO - Epoch(train) [44][960/3757] lr: 1.000e-03 eta: 15:43:18 time: 0.202 data_time: 0.012 memory: 5148 grad_norm: 5.6062 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5123 loss: 1.5123 2022/06/28 06:00:37 - mmengine - INFO - Epoch(train) [44][980/3757] lr: 1.000e-03 eta: 15:43:13 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 6.4850 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6269 loss: 1.6269 2022/06/28 06:00:43 - mmengine - INFO - Epoch(train) [44][1000/3757] lr: 1.000e-03 eta: 15:43:09 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 6.2610 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4857 loss: 1.4857 2022/06/28 06:00:48 - mmengine - INFO - Epoch(train) [44][1020/3757] lr: 1.000e-03 eta: 15:43:03 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 6.5653 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6206 loss: 1.6206 2022/06/28 06:00:54 - mmengine - INFO - Epoch(train) [44][1040/3757] lr: 1.000e-03 eta: 15:42:59 time: 0.766 data_time: 0.007 memory: 5148 grad_norm: 6.3096 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8276 loss: 1.8276 2022/06/28 06:00:59 - mmengine - INFO - Epoch(train) [44][1060/3757] lr: 1.000e-03 eta: 15:42:53 time: 0.201 data_time: 0.013 memory: 5148 grad_norm: 6.4769 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5166 loss: 1.5166 2022/06/28 06:01:04 - mmengine - INFO - Epoch(train) [44][1080/3757] lr: 1.000e-03 eta: 15:42:48 time: 0.227 data_time: 0.010 memory: 5148 grad_norm: 5.4260 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6797 loss: 1.6797 2022/06/28 06:01:10 - mmengine - INFO - Epoch(train) [44][1100/3757] lr: 1.000e-03 eta: 15:42:43 time: 0.963 data_time: 0.007 memory: 5148 grad_norm: 5.0965 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4881 loss: 1.4881 2022/06/28 06:01:15 - mmengine - INFO - Epoch(train) [44][1120/3757] lr: 1.000e-03 eta: 15:42:37 time: 0.210 data_time: 0.029 memory: 5148 grad_norm: 6.8022 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6520 loss: 1.6520 2022/06/28 06:01:20 - mmengine - INFO - Epoch(train) [44][1140/3757] lr: 1.000e-03 eta: 15:42:32 time: 0.212 data_time: 0.017 memory: 5148 grad_norm: 4.8948 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5612 loss: 1.5612 2022/06/28 06:01:26 - mmengine - INFO - Epoch(train) [44][1160/3757] lr: 1.000e-03 eta: 15:42:27 time: 0.259 data_time: 0.007 memory: 5148 grad_norm: 5.9417 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5156 loss: 1.5156 2022/06/28 06:01:31 - mmengine - INFO - Epoch(train) [44][1180/3757] lr: 1.000e-03 eta: 15:42:22 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 6.8003 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9495 loss: 1.9495 2022/06/28 06:01:36 - mmengine - INFO - Epoch(train) [44][1200/3757] lr: 1.000e-03 eta: 15:42:16 time: 0.210 data_time: 0.029 memory: 5148 grad_norm: 6.0159 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6975 loss: 1.6975 2022/06/28 06:01:42 - mmengine - INFO - Epoch(train) [44][1220/3757] lr: 1.000e-03 eta: 15:42:11 time: 0.859 data_time: 0.013 memory: 5148 grad_norm: 5.8033 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5608 loss: 1.5608 2022/06/28 06:01:47 - mmengine - INFO - Epoch(train) [44][1240/3757] lr: 1.000e-03 eta: 15:42:05 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 6.6289 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8831 loss: 1.8831 2022/06/28 06:01:52 - mmengine - INFO - Epoch(train) [44][1260/3757] lr: 1.000e-03 eta: 15:42:00 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 5.2421 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2853 loss: 1.2853 2022/06/28 06:01:58 - mmengine - INFO - Epoch(train) [44][1280/3757] lr: 1.000e-03 eta: 15:41:55 time: 0.379 data_time: 0.011 memory: 5148 grad_norm: 5.5093 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5635 loss: 1.5635 2022/06/28 06:02:03 - mmengine - INFO - Epoch(train) [44][1300/3757] lr: 1.000e-03 eta: 15:41:50 time: 0.200 data_time: 0.020 memory: 5148 grad_norm: 6.1986 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7125 loss: 1.7125 2022/06/28 06:02:08 - mmengine - INFO - Epoch(train) [44][1320/3757] lr: 1.000e-03 eta: 15:41:44 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 4.8009 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6138 loss: 1.6138 2022/06/28 06:02:14 - mmengine - INFO - Epoch(train) [44][1340/3757] lr: 1.000e-03 eta: 15:41:39 time: 0.608 data_time: 0.015 memory: 5148 grad_norm: 6.0307 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4274 loss: 1.4274 2022/06/28 06:02:19 - mmengine - INFO - Epoch(train) [44][1360/3757] lr: 1.000e-03 eta: 15:41:34 time: 0.208 data_time: 0.011 memory: 5148 grad_norm: 5.2220 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5761 loss: 1.5761 2022/06/28 06:02:24 - mmengine - INFO - Epoch(train) [44][1380/3757] lr: 1.000e-03 eta: 15:41:29 time: 0.220 data_time: 0.016 memory: 5148 grad_norm: 6.2083 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6427 loss: 1.6427 2022/06/28 06:02:30 - mmengine - INFO - Epoch(train) [44][1400/3757] lr: 1.000e-03 eta: 15:41:24 time: 0.856 data_time: 0.007 memory: 5148 grad_norm: 5.7496 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2692 loss: 1.2692 2022/06/28 06:02:35 - mmengine - INFO - Epoch(train) [44][1420/3757] lr: 1.000e-03 eta: 15:41:18 time: 0.235 data_time: 0.011 memory: 5148 grad_norm: 5.7942 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9786 loss: 1.9786 2022/06/28 06:02:40 - mmengine - INFO - Epoch(train) [44][1440/3757] lr: 1.000e-03 eta: 15:41:13 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.5171 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3096 loss: 1.3096 2022/06/28 06:02:42 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 06:02:46 - mmengine - INFO - Epoch(train) [44][1460/3757] lr: 1.000e-03 eta: 15:41:08 time: 1.119 data_time: 0.014 memory: 5148 grad_norm: 5.8750 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4180 loss: 1.4180 2022/06/28 06:02:50 - mmengine - INFO - Epoch(train) [44][1480/3757] lr: 1.000e-03 eta: 15:41:01 time: 0.202 data_time: 0.013 memory: 5148 grad_norm: 6.0609 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5277 loss: 1.5277 2022/06/28 06:02:56 - mmengine - INFO - Epoch(train) [44][1500/3757] lr: 1.000e-03 eta: 15:40:56 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 5.4018 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5738 loss: 1.5738 2022/06/28 06:03:01 - mmengine - INFO - Epoch(train) [44][1520/3757] lr: 1.000e-03 eta: 15:40:51 time: 0.404 data_time: 0.009 memory: 5148 grad_norm: 6.4039 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3132 loss: 1.3132 2022/06/28 06:03:06 - mmengine - INFO - Epoch(train) [44][1540/3757] lr: 1.000e-03 eta: 15:40:45 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 6.2599 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6890 loss: 1.6890 2022/06/28 06:03:11 - mmengine - INFO - Epoch(train) [44][1560/3757] lr: 1.000e-03 eta: 15:40:40 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.0622 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5161 loss: 1.5161 2022/06/28 06:03:17 - mmengine - INFO - Epoch(train) [44][1580/3757] lr: 1.000e-03 eta: 15:40:35 time: 0.254 data_time: 0.006 memory: 5148 grad_norm: 5.8922 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8814 loss: 1.8814 2022/06/28 06:03:22 - mmengine - INFO - Epoch(train) [44][1600/3757] lr: 1.000e-03 eta: 15:40:30 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 5.9865 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2072 loss: 1.2072 2022/06/28 06:03:28 - mmengine - INFO - Epoch(train) [44][1620/3757] lr: 1.000e-03 eta: 15:40:24 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.7435 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5754 loss: 1.5754 2022/06/28 06:03:34 - mmengine - INFO - Epoch(train) [44][1640/3757] lr: 1.000e-03 eta: 15:40:20 time: 0.252 data_time: 0.018 memory: 5148 grad_norm: 4.7936 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5786 loss: 1.5786 2022/06/28 06:03:39 - mmengine - INFO - Epoch(train) [44][1660/3757] lr: 1.000e-03 eta: 15:40:15 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.7491 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6322 loss: 1.6322 2022/06/28 06:03:43 - mmengine - INFO - Epoch(train) [44][1680/3757] lr: 1.000e-03 eta: 15:40:08 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 6.3264 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0813 loss: 1.0813 2022/06/28 06:03:49 - mmengine - INFO - Epoch(train) [44][1700/3757] lr: 1.000e-03 eta: 15:40:03 time: 0.244 data_time: 0.008 memory: 5148 grad_norm: 6.3509 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3006 loss: 1.3006 2022/06/28 06:03:55 - mmengine - INFO - Epoch(train) [44][1720/3757] lr: 1.000e-03 eta: 15:39:58 time: 0.211 data_time: 0.020 memory: 5148 grad_norm: 5.8378 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3696 loss: 1.3696 2022/06/28 06:03:59 - mmengine - INFO - Epoch(train) [44][1740/3757] lr: 1.000e-03 eta: 15:39:52 time: 0.195 data_time: 0.016 memory: 5148 grad_norm: 5.8209 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5941 loss: 1.5941 2022/06/28 06:04:05 - mmengine - INFO - Epoch(train) [44][1760/3757] lr: 1.000e-03 eta: 15:39:47 time: 0.471 data_time: 0.008 memory: 5148 grad_norm: 5.7027 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6324 loss: 1.6324 2022/06/28 06:04:10 - mmengine - INFO - Epoch(train) [44][1780/3757] lr: 1.000e-03 eta: 15:39:42 time: 0.216 data_time: 0.013 memory: 5148 grad_norm: 5.4565 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6075 loss: 1.6075 2022/06/28 06:04:16 - mmengine - INFO - Epoch(train) [44][1800/3757] lr: 1.000e-03 eta: 15:39:37 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 6.3887 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7443 loss: 1.7443 2022/06/28 06:04:21 - mmengine - INFO - Epoch(train) [44][1820/3757] lr: 1.000e-03 eta: 15:39:31 time: 0.737 data_time: 0.008 memory: 5148 grad_norm: 6.5061 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3524 loss: 1.3524 2022/06/28 06:04:27 - mmengine - INFO - Epoch(train) [44][1840/3757] lr: 1.000e-03 eta: 15:39:26 time: 0.209 data_time: 0.020 memory: 5148 grad_norm: 5.8081 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5433 loss: 1.5433 2022/06/28 06:04:32 - mmengine - INFO - Epoch(train) [44][1860/3757] lr: 1.000e-03 eta: 15:39:21 time: 0.237 data_time: 0.013 memory: 5148 grad_norm: 5.9227 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1362 loss: 1.1362 2022/06/28 06:04:37 - mmengine - INFO - Epoch(train) [44][1880/3757] lr: 1.000e-03 eta: 15:39:16 time: 0.248 data_time: 0.007 memory: 5148 grad_norm: 6.2829 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4982 loss: 1.4982 2022/06/28 06:04:42 - mmengine - INFO - Epoch(train) [44][1900/3757] lr: 1.000e-03 eta: 15:39:10 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 6.8117 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.8354 loss: 1.8354 2022/06/28 06:04:47 - mmengine - INFO - Epoch(train) [44][1920/3757] lr: 1.000e-03 eta: 15:39:04 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 5.8930 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6692 loss: 1.6692 2022/06/28 06:04:53 - mmengine - INFO - Epoch(train) [44][1940/3757] lr: 1.000e-03 eta: 15:39:00 time: 0.556 data_time: 0.007 memory: 5148 grad_norm: 5.7229 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7839 loss: 1.7839 2022/06/28 06:04:58 - mmengine - INFO - Epoch(train) [44][1960/3757] lr: 1.000e-03 eta: 15:38:55 time: 0.681 data_time: 0.007 memory: 5148 grad_norm: 5.2148 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4287 loss: 1.4287 2022/06/28 06:05:04 - mmengine - INFO - Epoch(train) [44][1980/3757] lr: 1.000e-03 eta: 15:38:49 time: 0.199 data_time: 0.018 memory: 5148 grad_norm: 7.8818 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.3770 loss: 1.3770 2022/06/28 06:05:09 - mmengine - INFO - Epoch(train) [44][2000/3757] lr: 1.000e-03 eta: 15:38:44 time: 0.627 data_time: 0.009 memory: 5148 grad_norm: 6.1355 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6130 loss: 1.6130 2022/06/28 06:05:15 - mmengine - INFO - Epoch(train) [44][2020/3757] lr: 1.000e-03 eta: 15:38:39 time: 0.223 data_time: 0.007 memory: 5148 grad_norm: 6.0374 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0951 loss: 2.0951 2022/06/28 06:05:20 - mmengine - INFO - Epoch(train) [44][2040/3757] lr: 1.000e-03 eta: 15:38:33 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.8695 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5559 loss: 1.5559 2022/06/28 06:05:25 - mmengine - INFO - Epoch(train) [44][2060/3757] lr: 1.000e-03 eta: 15:38:28 time: 0.277 data_time: 0.006 memory: 5148 grad_norm: 5.4364 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5195 loss: 1.5195 2022/06/28 06:05:31 - mmengine - INFO - Epoch(train) [44][2080/3757] lr: 1.000e-03 eta: 15:38:23 time: 1.048 data_time: 0.010 memory: 5148 grad_norm: 5.1156 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7286 loss: 1.7286 2022/06/28 06:05:36 - mmengine - INFO - Epoch(train) [44][2100/3757] lr: 1.000e-03 eta: 15:38:17 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.8162 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7187 loss: 1.7187 2022/06/28 06:05:41 - mmengine - INFO - Epoch(train) [44][2120/3757] lr: 1.000e-03 eta: 15:38:12 time: 0.241 data_time: 0.006 memory: 5148 grad_norm: 7.2603 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4437 loss: 1.4437 2022/06/28 06:05:47 - mmengine - INFO - Epoch(train) [44][2140/3757] lr: 1.000e-03 eta: 15:38:07 time: 0.608 data_time: 0.010 memory: 5148 grad_norm: 6.9689 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7439 loss: 1.7439 2022/06/28 06:05:52 - mmengine - INFO - Epoch(train) [44][2160/3757] lr: 1.000e-03 eta: 15:38:02 time: 0.215 data_time: 0.008 memory: 5148 grad_norm: 6.5255 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9904 loss: 1.9904 2022/06/28 06:05:57 - mmengine - INFO - Epoch(train) [44][2180/3757] lr: 1.000e-03 eta: 15:37:57 time: 0.950 data_time: 0.008 memory: 5148 grad_norm: 6.8420 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.7236 loss: 1.7236 2022/06/28 06:06:02 - mmengine - INFO - Epoch(train) [44][2200/3757] lr: 1.000e-03 eta: 15:37:50 time: 0.215 data_time: 0.011 memory: 5148 grad_norm: 5.3906 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4949 loss: 1.4949 2022/06/28 06:06:07 - mmengine - INFO - Epoch(train) [44][2220/3757] lr: 1.000e-03 eta: 15:37:45 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 5.5366 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2570 loss: 1.2570 2022/06/28 06:06:13 - mmengine - INFO - Epoch(train) [44][2240/3757] lr: 1.000e-03 eta: 15:37:40 time: 0.472 data_time: 0.007 memory: 5148 grad_norm: 6.4157 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3569 loss: 1.3569 2022/06/28 06:06:18 - mmengine - INFO - Epoch(train) [44][2260/3757] lr: 1.000e-03 eta: 15:37:35 time: 0.620 data_time: 0.010 memory: 5148 grad_norm: 6.0528 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4291 loss: 1.4291 2022/06/28 06:06:23 - mmengine - INFO - Epoch(train) [44][2280/3757] lr: 1.000e-03 eta: 15:37:29 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 7.1611 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8844 loss: 1.8844 2022/06/28 06:06:29 - mmengine - INFO - Epoch(train) [44][2300/3757] lr: 1.000e-03 eta: 15:37:24 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.6651 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3836 loss: 1.3836 2022/06/28 06:06:34 - mmengine - INFO - Epoch(train) [44][2320/3757] lr: 1.000e-03 eta: 15:37:19 time: 0.885 data_time: 0.010 memory: 5148 grad_norm: 6.5472 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7268 loss: 1.7268 2022/06/28 06:06:39 - mmengine - INFO - Epoch(train) [44][2340/3757] lr: 1.000e-03 eta: 15:37:13 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 5.9482 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2793 loss: 1.2793 2022/06/28 06:06:45 - mmengine - INFO - Epoch(train) [44][2360/3757] lr: 1.000e-03 eta: 15:37:09 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 7.7257 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8277 loss: 1.8277 2022/06/28 06:06:50 - mmengine - INFO - Epoch(train) [44][2380/3757] lr: 1.000e-03 eta: 15:37:03 time: 0.907 data_time: 0.012 memory: 5148 grad_norm: 5.9023 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5579 loss: 1.5579 2022/06/28 06:06:55 - mmengine - INFO - Epoch(train) [44][2400/3757] lr: 1.000e-03 eta: 15:36:57 time: 0.217 data_time: 0.006 memory: 5148 grad_norm: 5.2369 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3725 loss: 1.3725 2022/06/28 06:07:01 - mmengine - INFO - Epoch(train) [44][2420/3757] lr: 1.000e-03 eta: 15:36:53 time: 0.213 data_time: 0.008 memory: 5148 grad_norm: 5.6075 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9119 loss: 1.9119 2022/06/28 06:07:07 - mmengine - INFO - Epoch(train) [44][2440/3757] lr: 1.000e-03 eta: 15:36:48 time: 0.221 data_time: 0.010 memory: 5148 grad_norm: 5.3657 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6187 loss: 1.6187 2022/06/28 06:07:08 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 06:07:11 - mmengine - INFO - Epoch(train) [44][2460/3757] lr: 1.000e-03 eta: 15:36:41 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 5.7712 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5417 loss: 1.5417 2022/06/28 06:07:17 - mmengine - INFO - Epoch(train) [44][2480/3757] lr: 1.000e-03 eta: 15:36:37 time: 0.208 data_time: 0.006 memory: 5148 grad_norm: 5.7451 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5015 loss: 1.5015 2022/06/28 06:07:23 - mmengine - INFO - Epoch(train) [44][2500/3757] lr: 1.000e-03 eta: 15:36:32 time: 0.912 data_time: 0.011 memory: 5148 grad_norm: 6.3824 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7890 loss: 1.7890 2022/06/28 06:07:28 - mmengine - INFO - Epoch(train) [44][2520/3757] lr: 1.000e-03 eta: 15:36:26 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.4123 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5869 loss: 1.5869 2022/06/28 06:07:33 - mmengine - INFO - Epoch(train) [44][2540/3757] lr: 1.000e-03 eta: 15:36:21 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 5.9434 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9674 loss: 1.9674 2022/06/28 06:07:39 - mmengine - INFO - Epoch(train) [44][2560/3757] lr: 1.000e-03 eta: 15:36:16 time: 0.901 data_time: 0.010 memory: 5148 grad_norm: 7.2854 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8717 loss: 1.8717 2022/06/28 06:07:44 - mmengine - INFO - Epoch(train) [44][2580/3757] lr: 1.000e-03 eta: 15:36:10 time: 0.208 data_time: 0.006 memory: 5148 grad_norm: 6.5087 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3896 loss: 1.3896 2022/06/28 06:07:49 - mmengine - INFO - Epoch(train) [44][2600/3757] lr: 1.000e-03 eta: 15:36:05 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.0916 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5228 loss: 1.5228 2022/06/28 06:07:55 - mmengine - INFO - Epoch(train) [44][2620/3757] lr: 1.000e-03 eta: 15:36:01 time: 1.574 data_time: 0.007 memory: 5148 grad_norm: 7.0244 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1090 loss: 2.1090 2022/06/28 06:07:59 - mmengine - INFO - Epoch(train) [44][2640/3757] lr: 1.000e-03 eta: 15:35:54 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 5.6799 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4888 loss: 1.4888 2022/06/28 06:08:05 - mmengine - INFO - Epoch(train) [44][2660/3757] lr: 1.000e-03 eta: 15:35:49 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 5.6093 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7692 loss: 1.7692 2022/06/28 06:08:10 - mmengine - INFO - Epoch(train) [44][2680/3757] lr: 1.000e-03 eta: 15:35:43 time: 0.736 data_time: 0.007 memory: 5148 grad_norm: 6.0931 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5364 loss: 1.5364 2022/06/28 06:08:15 - mmengine - INFO - Epoch(train) [44][2700/3757] lr: 1.000e-03 eta: 15:35:38 time: 0.193 data_time: 0.006 memory: 5148 grad_norm: 5.8813 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5236 loss: 1.5236 2022/06/28 06:08:21 - mmengine - INFO - Epoch(train) [44][2720/3757] lr: 1.000e-03 eta: 15:35:33 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 6.1685 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1596 loss: 1.1596 2022/06/28 06:08:26 - mmengine - INFO - Epoch(train) [44][2740/3757] lr: 1.000e-03 eta: 15:35:28 time: 0.929 data_time: 0.006 memory: 5148 grad_norm: 6.3704 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4558 loss: 1.4558 2022/06/28 06:08:31 - mmengine - INFO - Epoch(train) [44][2760/3757] lr: 1.000e-03 eta: 15:35:22 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 6.6445 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5560 loss: 1.5560 2022/06/28 06:08:36 - mmengine - INFO - Epoch(train) [44][2780/3757] lr: 1.000e-03 eta: 15:35:16 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 5.9735 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0675 loss: 1.0675 2022/06/28 06:08:42 - mmengine - INFO - Epoch(train) [44][2800/3757] lr: 1.000e-03 eta: 15:35:12 time: 1.134 data_time: 0.007 memory: 5148 grad_norm: 5.9940 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6792 loss: 1.6792 2022/06/28 06:08:47 - mmengine - INFO - Epoch(train) [44][2820/3757] lr: 1.000e-03 eta: 15:35:06 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 4.8120 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6765 loss: 1.6765 2022/06/28 06:08:52 - mmengine - INFO - Epoch(train) [44][2840/3757] lr: 1.000e-03 eta: 15:35:00 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 6.3842 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4438 loss: 1.4438 2022/06/28 06:08:58 - mmengine - INFO - Epoch(train) [44][2860/3757] lr: 1.000e-03 eta: 15:34:55 time: 0.236 data_time: 0.010 memory: 5148 grad_norm: 6.1680 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7452 loss: 1.7452 2022/06/28 06:09:03 - mmengine - INFO - Epoch(train) [44][2880/3757] lr: 1.000e-03 eta: 15:34:50 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 5.9003 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7308 loss: 1.7308 2022/06/28 06:09:09 - mmengine - INFO - Epoch(train) [44][2900/3757] lr: 1.000e-03 eta: 15:34:45 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.6374 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3849 loss: 1.3849 2022/06/28 06:09:14 - mmengine - INFO - Epoch(train) [44][2920/3757] lr: 1.000e-03 eta: 15:34:39 time: 0.210 data_time: 0.017 memory: 5148 grad_norm: 6.5377 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5163 loss: 1.5163 2022/06/28 06:09:19 - mmengine - INFO - Epoch(train) [44][2940/3757] lr: 1.000e-03 eta: 15:34:34 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 7.0655 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4493 loss: 1.4493 2022/06/28 06:09:25 - mmengine - INFO - Epoch(train) [44][2960/3757] lr: 1.000e-03 eta: 15:34:29 time: 0.222 data_time: 0.007 memory: 5148 grad_norm: 6.7303 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1787 loss: 1.1787 2022/06/28 06:09:29 - mmengine - INFO - Epoch(train) [44][2980/3757] lr: 1.000e-03 eta: 15:34:23 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.6930 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9173 loss: 0.9173 2022/06/28 06:09:35 - mmengine - INFO - Epoch(train) [44][3000/3757] lr: 1.000e-03 eta: 15:34:18 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 6.7420 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5737 loss: 1.5737 2022/06/28 06:09:40 - mmengine - INFO - Epoch(train) [44][3020/3757] lr: 1.000e-03 eta: 15:34:13 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 6.0394 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6249 loss: 1.6249 2022/06/28 06:09:46 - mmengine - INFO - Epoch(train) [44][3040/3757] lr: 1.000e-03 eta: 15:34:08 time: 0.236 data_time: 0.008 memory: 5148 grad_norm: 5.8739 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7794 loss: 1.7794 2022/06/28 06:09:50 - mmengine - INFO - Epoch(train) [44][3060/3757] lr: 1.000e-03 eta: 15:34:01 time: 0.191 data_time: 0.010 memory: 5148 grad_norm: 5.2661 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3425 loss: 1.3425 2022/06/28 06:09:56 - mmengine - INFO - Epoch(train) [44][3080/3757] lr: 1.000e-03 eta: 15:33:57 time: 0.208 data_time: 0.006 memory: 5148 grad_norm: 5.4139 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5525 loss: 1.5525 2022/06/28 06:10:01 - mmengine - INFO - Epoch(train) [44][3100/3757] lr: 1.000e-03 eta: 15:33:51 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 6.4002 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5966 loss: 1.5966 2022/06/28 06:10:07 - mmengine - INFO - Epoch(train) [44][3120/3757] lr: 1.000e-03 eta: 15:33:46 time: 0.205 data_time: 0.006 memory: 5148 grad_norm: 5.4504 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5159 loss: 1.5159 2022/06/28 06:10:13 - mmengine - INFO - Epoch(train) [44][3140/3757] lr: 1.000e-03 eta: 15:33:41 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 6.8435 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6574 loss: 1.6574 2022/06/28 06:10:18 - mmengine - INFO - Epoch(train) [44][3160/3757] lr: 1.000e-03 eta: 15:33:36 time: 0.200 data_time: 0.012 memory: 5148 grad_norm: 7.1105 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5978 loss: 1.5978 2022/06/28 06:10:23 - mmengine - INFO - Epoch(train) [44][3180/3757] lr: 1.000e-03 eta: 15:33:30 time: 0.192 data_time: 0.008 memory: 5148 grad_norm: 5.7019 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5072 loss: 1.5072 2022/06/28 06:10:29 - mmengine - INFO - Epoch(train) [44][3200/3757] lr: 1.000e-03 eta: 15:33:26 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 5.5785 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4441 loss: 1.4441 2022/06/28 06:10:34 - mmengine - INFO - Epoch(train) [44][3220/3757] lr: 1.000e-03 eta: 15:33:20 time: 0.873 data_time: 0.007 memory: 5148 grad_norm: 6.2340 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3256 loss: 1.3256 2022/06/28 06:10:39 - mmengine - INFO - Epoch(train) [44][3240/3757] lr: 1.000e-03 eta: 15:33:14 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 5.7122 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2287 loss: 1.2287 2022/06/28 06:10:44 - mmengine - INFO - Epoch(train) [44][3260/3757] lr: 1.000e-03 eta: 15:33:09 time: 0.219 data_time: 0.013 memory: 5148 grad_norm: 6.3426 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3334 loss: 1.3334 2022/06/28 06:10:50 - mmengine - INFO - Epoch(train) [44][3280/3757] lr: 1.000e-03 eta: 15:33:04 time: 0.806 data_time: 0.007 memory: 5148 grad_norm: 5.7659 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2613 loss: 2.2613 2022/06/28 06:10:55 - mmengine - INFO - Epoch(train) [44][3300/3757] lr: 1.000e-03 eta: 15:32:59 time: 0.192 data_time: 0.015 memory: 5148 grad_norm: 5.4291 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5148 loss: 1.5148 2022/06/28 06:11:01 - mmengine - INFO - Epoch(train) [44][3320/3757] lr: 1.000e-03 eta: 15:32:54 time: 0.220 data_time: 0.010 memory: 5148 grad_norm: 5.9987 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3349 loss: 1.3349 2022/06/28 06:11:06 - mmengine - INFO - Epoch(train) [44][3340/3757] lr: 1.000e-03 eta: 15:32:49 time: 0.318 data_time: 0.006 memory: 5148 grad_norm: 5.7633 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7841 loss: 1.7841 2022/06/28 06:11:11 - mmengine - INFO - Epoch(train) [44][3360/3757] lr: 1.000e-03 eta: 15:32:43 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 6.0775 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2738 loss: 1.2738 2022/06/28 06:11:17 - mmengine - INFO - Epoch(train) [44][3380/3757] lr: 1.000e-03 eta: 15:32:39 time: 0.211 data_time: 0.009 memory: 5148 grad_norm: 6.0946 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.6641 loss: 1.6641 2022/06/28 06:11:23 - mmengine - INFO - Epoch(train) [44][3400/3757] lr: 1.000e-03 eta: 15:32:34 time: 1.319 data_time: 0.010 memory: 5148 grad_norm: 5.1353 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6925 loss: 1.6925 2022/06/28 06:11:28 - mmengine - INFO - Epoch(train) [44][3420/3757] lr: 1.000e-03 eta: 15:32:28 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 5.2850 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8442 loss: 1.8442 2022/06/28 06:11:33 - mmengine - INFO - Epoch(train) [44][3440/3757] lr: 1.000e-03 eta: 15:32:23 time: 0.215 data_time: 0.020 memory: 5148 grad_norm: 6.8177 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3915 loss: 1.3915 2022/06/28 06:11:36 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 06:11:39 - mmengine - INFO - Epoch(train) [44][3460/3757] lr: 1.000e-03 eta: 15:32:18 time: 0.980 data_time: 0.048 memory: 5148 grad_norm: 5.7781 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1917 loss: 1.1917 2022/06/28 06:11:43 - mmengine - INFO - Epoch(train) [44][3480/3757] lr: 1.000e-03 eta: 15:32:12 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 5.7806 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5611 loss: 1.5611 2022/06/28 06:11:49 - mmengine - INFO - Epoch(train) [44][3500/3757] lr: 1.000e-03 eta: 15:32:07 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 5.3275 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4497 loss: 1.4497 2022/06/28 06:11:54 - mmengine - INFO - Epoch(train) [44][3520/3757] lr: 1.000e-03 eta: 15:32:01 time: 0.643 data_time: 0.011 memory: 5148 grad_norm: 7.0138 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4750 loss: 1.4750 2022/06/28 06:11:59 - mmengine - INFO - Epoch(train) [44][3540/3757] lr: 1.000e-03 eta: 15:31:55 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 6.0637 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6530 loss: 1.6530 2022/06/28 06:12:05 - mmengine - INFO - Epoch(train) [44][3560/3757] lr: 1.000e-03 eta: 15:31:51 time: 0.501 data_time: 0.012 memory: 5148 grad_norm: 7.0596 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9145 loss: 1.9145 2022/06/28 06:12:10 - mmengine - INFO - Epoch(train) [44][3580/3757] lr: 1.000e-03 eta: 15:31:45 time: 0.839 data_time: 0.011 memory: 5148 grad_norm: 5.2963 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5079 loss: 1.5079 2022/06/28 06:12:15 - mmengine - INFO - Epoch(train) [44][3600/3757] lr: 1.000e-03 eta: 15:31:39 time: 0.219 data_time: 0.007 memory: 5148 grad_norm: 6.4239 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5159 loss: 1.5159 2022/06/28 06:12:20 - mmengine - INFO - Epoch(train) [44][3620/3757] lr: 1.000e-03 eta: 15:31:34 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 5.6356 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4261 loss: 1.4261 2022/06/28 06:12:26 - mmengine - INFO - Epoch(train) [44][3640/3757] lr: 1.000e-03 eta: 15:31:29 time: 0.982 data_time: 0.006 memory: 5148 grad_norm: 7.0733 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3673 loss: 1.3673 2022/06/28 06:12:30 - mmengine - INFO - Epoch(train) [44][3660/3757] lr: 1.000e-03 eta: 15:31:23 time: 0.207 data_time: 0.023 memory: 5148 grad_norm: 7.1883 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5671 loss: 1.5671 2022/06/28 06:12:36 - mmengine - INFO - Epoch(train) [44][3680/3757] lr: 1.000e-03 eta: 15:31:18 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 6.6412 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7660 loss: 1.7660 2022/06/28 06:12:41 - mmengine - INFO - Epoch(train) [44][3700/3757] lr: 1.000e-03 eta: 15:31:13 time: 0.770 data_time: 0.006 memory: 5148 grad_norm: 6.1148 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5685 loss: 1.5685 2022/06/28 06:12:47 - mmengine - INFO - Epoch(train) [44][3720/3757] lr: 1.000e-03 eta: 15:31:07 time: 0.457 data_time: 0.017 memory: 5148 grad_norm: 6.6794 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6581 loss: 1.6581 2022/06/28 06:12:52 - mmengine - INFO - Epoch(train) [44][3740/3757] lr: 1.000e-03 eta: 15:31:01 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.4466 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4341 loss: 1.4341 2022/06/28 06:12:55 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 06:13:02 - mmengine - INFO - Epoch(val) [44][20/310] eta: 0:01:11 time: 0.161 data_time: 0.089 memory: 5148 2022/06/28 06:13:07 - mmengine - INFO - Epoch(val) [44][40/310] eta: 0:01:02 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 06:13:12 - mmengine - INFO - Epoch(val) [44][60/310] eta: 0:00:59 time: 0.081 data_time: 0.010 memory: 1367 2022/06/28 06:13:17 - mmengine - INFO - Epoch(val) [44][80/310] eta: 0:01:02 time: 0.306 data_time: 0.234 memory: 1367 2022/06/28 06:13:23 - mmengine - INFO - Epoch(val) [44][100/310] eta: 0:00:50 time: 0.095 data_time: 0.014 memory: 1367 2022/06/28 06:13:28 - mmengine - INFO - Epoch(val) [44][120/310] eta: 0:00:53 time: 0.547 data_time: 0.470 memory: 1367 2022/06/28 06:13:34 - mmengine - INFO - Epoch(val) [44][140/310] eta: 0:00:54 time: 0.595 data_time: 0.524 memory: 1367 2022/06/28 06:13:39 - mmengine - INFO - Epoch(val) [44][160/310] eta: 0:00:40 time: 0.513 data_time: 0.435 memory: 1367 2022/06/28 06:13:45 - mmengine - INFO - Epoch(val) [44][180/310] eta: 0:00:47 time: 0.644 data_time: 0.568 memory: 1367 2022/06/28 06:13:50 - mmengine - INFO - Epoch(val) [44][200/310] eta: 0:00:28 time: 0.307 data_time: 0.231 memory: 1367 2022/06/28 06:13:55 - mmengine - INFO - Epoch(val) [44][220/310] eta: 0:00:32 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 06:14:00 - mmengine - INFO - Epoch(val) [44][240/310] eta: 0:00:14 time: 0.085 data_time: 0.008 memory: 1367 2022/06/28 06:14:06 - mmengine - INFO - Epoch(val) [44][260/310] eta: 0:00:18 time: 0.080 data_time: 0.005 memory: 1367 2022/06/28 06:14:11 - mmengine - INFO - Epoch(val) [44][280/310] eta: 0:00:07 time: 0.083 data_time: 0.011 memory: 1367 2022/06/28 06:14:16 - mmengine - INFO - Epoch(val) [44][300/310] eta: 0:00:03 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 06:14:19 - mmengine - INFO - Epoch(val) [44][310/310] acc/top1: 0.6378 acc/top5: 0.8488 acc/mean1: 0.6376 2022/06/28 06:14:28 - mmengine - INFO - Epoch(train) [45][20/3757] lr: 1.000e-03 eta: 15:30:52 time: 0.185 data_time: 0.009 memory: 5148 grad_norm: 6.5157 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7495 loss: 1.7495 2022/06/28 06:14:33 - mmengine - INFO - Epoch(train) [45][40/3757] lr: 1.000e-03 eta: 15:30:47 time: 0.200 data_time: 0.023 memory: 5148 grad_norm: 6.4946 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4483 loss: 1.4483 2022/06/28 06:14:38 - mmengine - INFO - Epoch(train) [45][60/3757] lr: 1.000e-03 eta: 15:30:42 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.4762 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3422 loss: 1.3422 2022/06/28 06:14:44 - mmengine - INFO - Epoch(train) [45][80/3757] lr: 1.000e-03 eta: 15:30:37 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 7.8302 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7160 loss: 1.7160 2022/06/28 06:14:50 - mmengine - INFO - Epoch(train) [45][100/3757] lr: 1.000e-03 eta: 15:30:32 time: 0.197 data_time: 0.009 memory: 5148 grad_norm: 6.6653 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4534 loss: 1.4534 2022/06/28 06:14:55 - mmengine - INFO - Epoch(train) [45][120/3757] lr: 1.000e-03 eta: 15:30:26 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 5.3177 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5358 loss: 1.5358 2022/06/28 06:15:00 - mmengine - INFO - Epoch(train) [45][140/3757] lr: 1.000e-03 eta: 15:30:21 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.3577 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1608 loss: 1.1608 2022/06/28 06:15:06 - mmengine - INFO - Epoch(train) [45][160/3757] lr: 1.000e-03 eta: 15:30:16 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 5.7638 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1040 loss: 1.1040 2022/06/28 06:15:11 - mmengine - INFO - Epoch(train) [45][180/3757] lr: 1.000e-03 eta: 15:30:10 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 4.8067 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4612 loss: 1.4612 2022/06/28 06:15:17 - mmengine - INFO - Epoch(train) [45][200/3757] lr: 1.000e-03 eta: 15:30:06 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 6.6165 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2366 loss: 1.2366 2022/06/28 06:15:22 - mmengine - INFO - Epoch(train) [45][220/3757] lr: 1.000e-03 eta: 15:30:01 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.2275 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2921 loss: 1.2921 2022/06/28 06:15:27 - mmengine - INFO - Epoch(train) [45][240/3757] lr: 1.000e-03 eta: 15:29:55 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 6.3188 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5954 loss: 1.5954 2022/06/28 06:15:33 - mmengine - INFO - Epoch(train) [45][260/3757] lr: 1.000e-03 eta: 15:29:50 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 5.2005 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3679 loss: 1.3679 2022/06/28 06:15:38 - mmengine - INFO - Epoch(train) [45][280/3757] lr: 1.000e-03 eta: 15:29:45 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.1150 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6140 loss: 1.6140 2022/06/28 06:15:43 - mmengine - INFO - Epoch(train) [45][300/3757] lr: 1.000e-03 eta: 15:29:39 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 5.9330 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4085 loss: 1.4085 2022/06/28 06:15:48 - mmengine - INFO - Epoch(train) [45][320/3757] lr: 1.000e-03 eta: 15:29:34 time: 0.214 data_time: 0.008 memory: 5148 grad_norm: 5.3664 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9562 loss: 0.9562 2022/06/28 06:15:54 - mmengine - INFO - Epoch(train) [45][340/3757] lr: 1.000e-03 eta: 15:29:29 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.9024 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3208 loss: 1.3208 2022/06/28 06:15:58 - mmengine - INFO - Epoch(train) [45][360/3757] lr: 1.000e-03 eta: 15:29:22 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 5.4525 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5780 loss: 1.5780 2022/06/28 06:16:05 - mmengine - INFO - Epoch(train) [45][380/3757] lr: 1.000e-03 eta: 15:29:18 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.8897 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4630 loss: 1.4630 2022/06/28 06:16:10 - mmengine - INFO - Epoch(train) [45][400/3757] lr: 1.000e-03 eta: 15:29:13 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 6.2598 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4459 loss: 1.4459 2022/06/28 06:16:15 - mmengine - INFO - Epoch(train) [45][420/3757] lr: 1.000e-03 eta: 15:29:07 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 5.7476 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5067 loss: 1.5067 2022/06/28 06:16:21 - mmengine - INFO - Epoch(train) [45][440/3757] lr: 1.000e-03 eta: 15:29:02 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 5.9103 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5208 loss: 1.5208 2022/06/28 06:16:26 - mmengine - INFO - Epoch(train) [45][460/3757] lr: 1.000e-03 eta: 15:28:57 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 5.5284 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1909 loss: 1.1909 2022/06/28 06:16:30 - mmengine - INFO - Epoch(train) [45][480/3757] lr: 1.000e-03 eta: 15:28:50 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 6.8226 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5504 loss: 1.5504 2022/06/28 06:16:36 - mmengine - INFO - Epoch(train) [45][500/3757] lr: 1.000e-03 eta: 15:28:45 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 6.3340 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6337 loss: 1.6337 2022/06/28 06:16:41 - mmengine - INFO - Epoch(train) [45][520/3757] lr: 1.000e-03 eta: 15:28:40 time: 0.228 data_time: 0.007 memory: 5148 grad_norm: 6.3635 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3768 loss: 1.3768 2022/06/28 06:16:46 - mmengine - INFO - Epoch(train) [45][540/3757] lr: 1.000e-03 eta: 15:28:34 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.8320 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5873 loss: 1.5873 2022/06/28 06:16:52 - mmengine - INFO - Epoch(train) [45][560/3757] lr: 1.000e-03 eta: 15:28:29 time: 0.223 data_time: 0.008 memory: 5148 grad_norm: 6.1888 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4626 loss: 1.4626 2022/06/28 06:16:58 - mmengine - INFO - Epoch(train) [45][580/3757] lr: 1.000e-03 eta: 15:28:25 time: 0.221 data_time: 0.007 memory: 5148 grad_norm: 6.8568 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5142 loss: 1.5142 2022/06/28 06:17:03 - mmengine - INFO - Epoch(train) [45][600/3757] lr: 1.000e-03 eta: 15:28:19 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 5.0247 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4518 loss: 1.4518 2022/06/28 06:17:08 - mmengine - INFO - Epoch(train) [45][620/3757] lr: 1.000e-03 eta: 15:28:14 time: 0.209 data_time: 0.013 memory: 5148 grad_norm: 5.9372 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4711 loss: 1.4711 2022/06/28 06:17:13 - mmengine - INFO - Epoch(train) [45][640/3757] lr: 1.000e-03 eta: 15:28:09 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 6.2754 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1382 loss: 1.1382 2022/06/28 06:17:19 - mmengine - INFO - Epoch(train) [45][660/3757] lr: 1.000e-03 eta: 15:28:03 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.6325 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3700 loss: 1.3700 2022/06/28 06:17:23 - mmengine - INFO - Epoch(train) [45][680/3757] lr: 1.000e-03 eta: 15:27:57 time: 0.211 data_time: 0.010 memory: 5148 grad_norm: 6.1960 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7628 loss: 1.7628 2022/06/28 06:17:26 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 06:17:29 - mmengine - INFO - Epoch(train) [45][700/3757] lr: 1.000e-03 eta: 15:27:52 time: 0.210 data_time: 0.017 memory: 5148 grad_norm: 7.0119 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8967 loss: 1.8967 2022/06/28 06:17:33 - mmengine - INFO - Epoch(train) [45][720/3757] lr: 1.000e-03 eta: 15:27:46 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 6.0185 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9899 loss: 0.9899 2022/06/28 06:17:39 - mmengine - INFO - Epoch(train) [45][740/3757] lr: 1.000e-03 eta: 15:27:41 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 6.8319 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5305 loss: 1.5305 2022/06/28 06:17:44 - mmengine - INFO - Epoch(train) [45][760/3757] lr: 1.000e-03 eta: 15:27:35 time: 0.201 data_time: 0.016 memory: 5148 grad_norm: 5.7465 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5045 loss: 1.5045 2022/06/28 06:17:49 - mmengine - INFO - Epoch(train) [45][780/3757] lr: 1.000e-03 eta: 15:27:30 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 6.2438 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3404 loss: 1.3404 2022/06/28 06:17:55 - mmengine - INFO - Epoch(train) [45][800/3757] lr: 1.000e-03 eta: 15:27:25 time: 0.440 data_time: 0.010 memory: 5148 grad_norm: 6.6686 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6225 loss: 1.6225 2022/06/28 06:18:01 - mmengine - INFO - Epoch(train) [45][820/3757] lr: 1.000e-03 eta: 15:27:20 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 5.4866 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3814 loss: 1.3814 2022/06/28 06:18:06 - mmengine - INFO - Epoch(train) [45][840/3757] lr: 1.000e-03 eta: 15:27:15 time: 0.208 data_time: 0.009 memory: 5148 grad_norm: 5.8295 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2612 loss: 1.2612 2022/06/28 06:18:11 - mmengine - INFO - Epoch(train) [45][860/3757] lr: 1.000e-03 eta: 15:27:10 time: 0.205 data_time: 0.014 memory: 5148 grad_norm: 7.2876 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5289 loss: 1.5289 2022/06/28 06:18:17 - mmengine - INFO - Epoch(train) [45][880/3757] lr: 1.000e-03 eta: 15:27:04 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 5.2726 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3751 loss: 1.3751 2022/06/28 06:18:22 - mmengine - INFO - Epoch(train) [45][900/3757] lr: 1.000e-03 eta: 15:26:58 time: 0.198 data_time: 0.016 memory: 5148 grad_norm: 5.3758 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6288 loss: 1.6288 2022/06/28 06:18:28 - mmengine - INFO - Epoch(train) [45][920/3757] lr: 1.000e-03 eta: 15:26:55 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 6.1516 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5735 loss: 1.5735 2022/06/28 06:18:33 - mmengine - INFO - Epoch(train) [45][940/3757] lr: 1.000e-03 eta: 15:26:49 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.5964 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6338 loss: 1.6338 2022/06/28 06:18:38 - mmengine - INFO - Epoch(train) [45][960/3757] lr: 1.000e-03 eta: 15:26:43 time: 0.204 data_time: 0.023 memory: 5148 grad_norm: 6.2103 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3700 loss: 1.3700 2022/06/28 06:18:43 - mmengine - INFO - Epoch(train) [45][980/3757] lr: 1.000e-03 eta: 15:26:38 time: 0.206 data_time: 0.014 memory: 5148 grad_norm: 5.3046 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4673 loss: 1.4673 2022/06/28 06:18:49 - mmengine - INFO - Epoch(train) [45][1000/3757] lr: 1.000e-03 eta: 15:26:33 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 5.6731 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9405 loss: 1.9405 2022/06/28 06:18:54 - mmengine - INFO - Epoch(train) [45][1020/3757] lr: 1.000e-03 eta: 15:26:27 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 5.6424 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6320 loss: 1.6320 2022/06/28 06:18:59 - mmengine - INFO - Epoch(train) [45][1040/3757] lr: 1.000e-03 eta: 15:26:22 time: 0.208 data_time: 0.013 memory: 5148 grad_norm: 5.6962 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4178 loss: 1.4178 2022/06/28 06:19:05 - mmengine - INFO - Epoch(train) [45][1060/3757] lr: 1.000e-03 eta: 15:26:17 time: 0.224 data_time: 0.007 memory: 5148 grad_norm: 6.0021 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4651 loss: 1.4651 2022/06/28 06:19:10 - mmengine - INFO - Epoch(train) [45][1080/3757] lr: 1.000e-03 eta: 15:26:11 time: 0.209 data_time: 0.011 memory: 5148 grad_norm: 6.2075 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6462 loss: 1.6462 2022/06/28 06:19:15 - mmengine - INFO - Epoch(train) [45][1100/3757] lr: 1.000e-03 eta: 15:26:06 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 6.4337 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3703 loss: 1.3703 2022/06/28 06:19:20 - mmengine - INFO - Epoch(train) [45][1120/3757] lr: 1.000e-03 eta: 15:26:00 time: 0.221 data_time: 0.008 memory: 5148 grad_norm: 6.0299 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7605 loss: 1.7605 2022/06/28 06:19:25 - mmengine - INFO - Epoch(train) [45][1140/3757] lr: 1.000e-03 eta: 15:25:54 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 6.0136 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1576 loss: 1.1576 2022/06/28 06:19:31 - mmengine - INFO - Epoch(train) [45][1160/3757] lr: 1.000e-03 eta: 15:25:49 time: 0.488 data_time: 0.010 memory: 5148 grad_norm: 6.0445 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6052 loss: 1.6052 2022/06/28 06:19:36 - mmengine - INFO - Epoch(train) [45][1180/3757] lr: 1.000e-03 eta: 15:25:44 time: 0.210 data_time: 0.018 memory: 5148 grad_norm: 6.2935 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4277 loss: 1.4277 2022/06/28 06:19:42 - mmengine - INFO - Epoch(train) [45][1200/3757] lr: 1.000e-03 eta: 15:25:39 time: 0.207 data_time: 0.011 memory: 5148 grad_norm: 6.6690 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2090 loss: 1.2090 2022/06/28 06:19:48 - mmengine - INFO - Epoch(train) [45][1220/3757] lr: 1.000e-03 eta: 15:25:34 time: 0.491 data_time: 0.010 memory: 5148 grad_norm: 6.0697 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6495 loss: 1.6495 2022/06/28 06:19:53 - mmengine - INFO - Epoch(train) [45][1240/3757] lr: 1.000e-03 eta: 15:25:29 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 6.1410 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3563 loss: 1.3563 2022/06/28 06:19:58 - mmengine - INFO - Epoch(train) [45][1260/3757] lr: 1.000e-03 eta: 15:25:23 time: 0.209 data_time: 0.015 memory: 5148 grad_norm: 4.9073 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5145 loss: 1.5145 2022/06/28 06:20:04 - mmengine - INFO - Epoch(train) [45][1280/3757] lr: 1.000e-03 eta: 15:25:18 time: 0.218 data_time: 0.010 memory: 5148 grad_norm: 6.7373 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7356 loss: 1.7356 2022/06/28 06:20:09 - mmengine - INFO - Epoch(train) [45][1300/3757] lr: 1.000e-03 eta: 15:25:13 time: 0.199 data_time: 0.013 memory: 5148 grad_norm: 6.8598 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3307 loss: 1.3307 2022/06/28 06:20:14 - mmengine - INFO - Epoch(train) [45][1320/3757] lr: 1.000e-03 eta: 15:25:07 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 6.6958 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5826 loss: 1.5826 2022/06/28 06:20:19 - mmengine - INFO - Epoch(train) [45][1340/3757] lr: 1.000e-03 eta: 15:25:02 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.9324 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7832 loss: 1.7832 2022/06/28 06:20:26 - mmengine - INFO - Epoch(train) [45][1360/3757] lr: 1.000e-03 eta: 15:24:58 time: 0.229 data_time: 0.025 memory: 5148 grad_norm: 5.8588 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4580 loss: 1.4580 2022/06/28 06:20:30 - mmengine - INFO - Epoch(train) [45][1380/3757] lr: 1.000e-03 eta: 15:24:52 time: 0.198 data_time: 0.013 memory: 5148 grad_norm: 6.7037 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6475 loss: 1.6475 2022/06/28 06:20:36 - mmengine - INFO - Epoch(train) [45][1400/3757] lr: 1.000e-03 eta: 15:24:47 time: 0.228 data_time: 0.009 memory: 5148 grad_norm: 6.4119 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6888 loss: 1.6888 2022/06/28 06:20:42 - mmengine - INFO - Epoch(train) [45][1420/3757] lr: 1.000e-03 eta: 15:24:42 time: 0.210 data_time: 0.031 memory: 5148 grad_norm: 6.5213 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.3586 loss: 1.3586 2022/06/28 06:20:47 - mmengine - INFO - Epoch(train) [45][1440/3757] lr: 1.000e-03 eta: 15:24:37 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 4.9014 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0000 loss: 2.0000 2022/06/28 06:20:52 - mmengine - INFO - Epoch(train) [45][1460/3757] lr: 1.000e-03 eta: 15:24:31 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.3816 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8280 loss: 1.8280 2022/06/28 06:20:58 - mmengine - INFO - Epoch(train) [45][1480/3757] lr: 1.000e-03 eta: 15:24:27 time: 0.221 data_time: 0.044 memory: 5148 grad_norm: 5.5966 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4410 loss: 1.4410 2022/06/28 06:21:02 - mmengine - INFO - Epoch(train) [45][1500/3757] lr: 1.000e-03 eta: 15:24:20 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.6821 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2415 loss: 1.2415 2022/06/28 06:21:08 - mmengine - INFO - Epoch(train) [45][1520/3757] lr: 1.000e-03 eta: 15:24:16 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 6.7265 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5356 loss: 1.5356 2022/06/28 06:21:14 - mmengine - INFO - Epoch(train) [45][1540/3757] lr: 1.000e-03 eta: 15:24:11 time: 0.215 data_time: 0.038 memory: 5148 grad_norm: 6.1897 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5879 loss: 1.5879 2022/06/28 06:21:19 - mmengine - INFO - Epoch(train) [45][1560/3757] lr: 1.000e-03 eta: 15:24:05 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.5074 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3786 loss: 1.3786 2022/06/28 06:21:24 - mmengine - INFO - Epoch(train) [45][1580/3757] lr: 1.000e-03 eta: 15:23:59 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 6.1554 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7085 loss: 1.7085 2022/06/28 06:21:29 - mmengine - INFO - Epoch(train) [45][1600/3757] lr: 1.000e-03 eta: 15:23:54 time: 0.384 data_time: 0.198 memory: 5148 grad_norm: 5.8892 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2051 loss: 1.2051 2022/06/28 06:21:34 - mmengine - INFO - Epoch(train) [45][1620/3757] lr: 1.000e-03 eta: 15:23:48 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 6.3004 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4288 loss: 1.4288 2022/06/28 06:21:40 - mmengine - INFO - Epoch(train) [45][1640/3757] lr: 1.000e-03 eta: 15:23:44 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.6756 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9224 loss: 1.9224 2022/06/28 06:21:46 - mmengine - INFO - Epoch(train) [45][1660/3757] lr: 1.000e-03 eta: 15:23:40 time: 0.406 data_time: 0.063 memory: 5148 grad_norm: 5.9946 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8216 loss: 1.8216 2022/06/28 06:21:51 - mmengine - INFO - Epoch(train) [45][1680/3757] lr: 1.000e-03 eta: 15:23:33 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 4.7366 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4207 loss: 1.4207 2022/06/28 06:21:54 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 06:21:56 - mmengine - INFO - Epoch(train) [45][1700/3757] lr: 1.000e-03 eta: 15:23:28 time: 0.224 data_time: 0.007 memory: 5148 grad_norm: 5.8057 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6299 loss: 1.6299 2022/06/28 06:22:02 - mmengine - INFO - Epoch(train) [45][1720/3757] lr: 1.000e-03 eta: 15:23:23 time: 0.213 data_time: 0.023 memory: 5148 grad_norm: 6.1525 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5703 loss: 1.5703 2022/06/28 06:22:07 - mmengine - INFO - Epoch(train) [45][1740/3757] lr: 1.000e-03 eta: 15:23:18 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 6.3484 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8052 loss: 1.8052 2022/06/28 06:22:12 - mmengine - INFO - Epoch(train) [45][1760/3757] lr: 1.000e-03 eta: 15:23:12 time: 0.198 data_time: 0.013 memory: 5148 grad_norm: 7.0158 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3257 loss: 1.3257 2022/06/28 06:22:17 - mmengine - INFO - Epoch(train) [45][1780/3757] lr: 1.000e-03 eta: 15:23:07 time: 0.198 data_time: 0.018 memory: 5148 grad_norm: 6.0322 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4960 loss: 1.4960 2022/06/28 06:22:22 - mmengine - INFO - Epoch(train) [45][1800/3757] lr: 1.000e-03 eta: 15:23:00 time: 0.202 data_time: 0.014 memory: 5148 grad_norm: 5.4533 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5487 loss: 1.5487 2022/06/28 06:22:28 - mmengine - INFO - Epoch(train) [45][1820/3757] lr: 1.000e-03 eta: 15:22:56 time: 0.202 data_time: 0.013 memory: 5148 grad_norm: 6.7639 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6027 loss: 1.6027 2022/06/28 06:22:32 - mmengine - INFO - Epoch(train) [45][1840/3757] lr: 1.000e-03 eta: 15:22:49 time: 0.200 data_time: 0.020 memory: 5148 grad_norm: 5.7568 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3977 loss: 1.3977 2022/06/28 06:22:37 - mmengine - INFO - Epoch(train) [45][1860/3757] lr: 1.000e-03 eta: 15:22:44 time: 0.211 data_time: 0.020 memory: 5148 grad_norm: 5.8385 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6925 loss: 1.6925 2022/06/28 06:22:42 - mmengine - INFO - Epoch(train) [45][1880/3757] lr: 1.000e-03 eta: 15:22:38 time: 0.201 data_time: 0.015 memory: 5148 grad_norm: 6.1674 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5238 loss: 1.5238 2022/06/28 06:22:48 - mmengine - INFO - Epoch(train) [45][1900/3757] lr: 1.000e-03 eta: 15:22:33 time: 0.200 data_time: 0.024 memory: 5148 grad_norm: 5.2572 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4223 loss: 1.4223 2022/06/28 06:22:54 - mmengine - INFO - Epoch(train) [45][1920/3757] lr: 1.000e-03 eta: 15:22:29 time: 0.228 data_time: 0.023 memory: 5148 grad_norm: 5.7729 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7569 loss: 1.7569 2022/06/28 06:22:59 - mmengine - INFO - Epoch(train) [45][1940/3757] lr: 1.000e-03 eta: 15:22:24 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 6.1674 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5970 loss: 1.5970 2022/06/28 06:23:05 - mmengine - INFO - Epoch(train) [45][1960/3757] lr: 1.000e-03 eta: 15:22:18 time: 0.202 data_time: 0.026 memory: 5148 grad_norm: 5.6880 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8809 loss: 1.8809 2022/06/28 06:23:10 - mmengine - INFO - Epoch(train) [45][1980/3757] lr: 1.000e-03 eta: 15:22:13 time: 0.214 data_time: 0.015 memory: 5148 grad_norm: 6.1464 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9057 loss: 1.9057 2022/06/28 06:23:16 - mmengine - INFO - Epoch(train) [45][2000/3757] lr: 1.000e-03 eta: 15:22:08 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.3898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3162 loss: 1.3162 2022/06/28 06:23:21 - mmengine - INFO - Epoch(train) [45][2020/3757] lr: 1.000e-03 eta: 15:22:02 time: 0.205 data_time: 0.030 memory: 5148 grad_norm: 6.8258 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4324 loss: 1.4324 2022/06/28 06:23:27 - mmengine - INFO - Epoch(train) [45][2040/3757] lr: 1.000e-03 eta: 15:21:58 time: 1.056 data_time: 0.017 memory: 5148 grad_norm: 5.9230 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9974 loss: 1.9974 2022/06/28 06:23:31 - mmengine - INFO - Epoch(train) [45][2060/3757] lr: 1.000e-03 eta: 15:21:52 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 5.7925 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5625 loss: 1.5625 2022/06/28 06:23:37 - mmengine - INFO - Epoch(train) [45][2080/3757] lr: 1.000e-03 eta: 15:21:47 time: 0.376 data_time: 0.195 memory: 5148 grad_norm: 6.2043 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1277 loss: 2.1277 2022/06/28 06:23:42 - mmengine - INFO - Epoch(train) [45][2100/3757] lr: 1.000e-03 eta: 15:21:42 time: 0.656 data_time: 0.007 memory: 5148 grad_norm: 6.3331 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 0.9648 loss: 0.9648 2022/06/28 06:23:47 - mmengine - INFO - Epoch(train) [45][2120/3757] lr: 1.000e-03 eta: 15:21:36 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 6.4218 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0008 loss: 1.0008 2022/06/28 06:23:53 - mmengine - INFO - Epoch(train) [45][2140/3757] lr: 1.000e-03 eta: 15:21:31 time: 0.201 data_time: 0.025 memory: 5148 grad_norm: 6.3817 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6497 loss: 1.6497 2022/06/28 06:23:59 - mmengine - INFO - Epoch(train) [45][2160/3757] lr: 1.000e-03 eta: 15:21:26 time: 0.706 data_time: 0.007 memory: 5148 grad_norm: 5.8299 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5429 loss: 1.5429 2022/06/28 06:24:04 - mmengine - INFO - Epoch(train) [45][2180/3757] lr: 1.000e-03 eta: 15:21:21 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.4905 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4160 loss: 1.4160 2022/06/28 06:24:09 - mmengine - INFO - Epoch(train) [45][2200/3757] lr: 1.000e-03 eta: 15:21:16 time: 0.219 data_time: 0.038 memory: 5148 grad_norm: 6.0662 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3451 loss: 1.3451 2022/06/28 06:24:14 - mmengine - INFO - Epoch(train) [45][2220/3757] lr: 1.000e-03 eta: 15:21:10 time: 0.381 data_time: 0.007 memory: 5148 grad_norm: 5.6694 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6118 loss: 1.6118 2022/06/28 06:24:20 - mmengine - INFO - Epoch(train) [45][2240/3757] lr: 1.000e-03 eta: 15:21:05 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.6227 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4280 loss: 1.4280 2022/06/28 06:24:25 - mmengine - INFO - Epoch(train) [45][2260/3757] lr: 1.000e-03 eta: 15:21:00 time: 0.211 data_time: 0.029 memory: 5148 grad_norm: 6.2545 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1242 loss: 1.1242 2022/06/28 06:24:31 - mmengine - INFO - Epoch(train) [45][2280/3757] lr: 1.000e-03 eta: 15:20:54 time: 0.314 data_time: 0.006 memory: 5148 grad_norm: 5.8740 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5445 loss: 1.5445 2022/06/28 06:24:36 - mmengine - INFO - Epoch(train) [45][2300/3757] lr: 1.000e-03 eta: 15:20:49 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 6.5080 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4560 loss: 1.4560 2022/06/28 06:24:41 - mmengine - INFO - Epoch(train) [45][2320/3757] lr: 1.000e-03 eta: 15:20:44 time: 0.220 data_time: 0.033 memory: 5148 grad_norm: 5.6811 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1553 loss: 1.1553 2022/06/28 06:24:47 - mmengine - INFO - Epoch(train) [45][2340/3757] lr: 1.000e-03 eta: 15:20:39 time: 0.222 data_time: 0.007 memory: 5148 grad_norm: 6.6384 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7418 loss: 1.7418 2022/06/28 06:24:52 - mmengine - INFO - Epoch(train) [45][2360/3757] lr: 1.000e-03 eta: 15:20:33 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 6.1199 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3160 loss: 1.3160 2022/06/28 06:24:58 - mmengine - INFO - Epoch(train) [45][2380/3757] lr: 1.000e-03 eta: 15:20:28 time: 0.219 data_time: 0.039 memory: 5148 grad_norm: 5.6461 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4551 loss: 1.4551 2022/06/28 06:25:03 - mmengine - INFO - Epoch(train) [45][2400/3757] lr: 1.000e-03 eta: 15:20:23 time: 0.224 data_time: 0.009 memory: 5148 grad_norm: 6.0370 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4721 loss: 1.4721 2022/06/28 06:25:09 - mmengine - INFO - Epoch(train) [45][2420/3757] lr: 1.000e-03 eta: 15:20:18 time: 0.206 data_time: 0.006 memory: 5148 grad_norm: 6.2891 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5321 loss: 1.5321 2022/06/28 06:25:14 - mmengine - INFO - Epoch(train) [45][2440/3757] lr: 1.000e-03 eta: 15:20:13 time: 0.210 data_time: 0.029 memory: 5148 grad_norm: 5.7730 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6707 loss: 1.6707 2022/06/28 06:25:19 - mmengine - INFO - Epoch(train) [45][2460/3757] lr: 1.000e-03 eta: 15:20:07 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 6.1663 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4798 loss: 1.4798 2022/06/28 06:25:24 - mmengine - INFO - Epoch(train) [45][2480/3757] lr: 1.000e-03 eta: 15:20:02 time: 0.196 data_time: 0.012 memory: 5148 grad_norm: 6.5159 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3641 loss: 1.3641 2022/06/28 06:25:30 - mmengine - INFO - Epoch(train) [45][2500/3757] lr: 1.000e-03 eta: 15:19:57 time: 0.197 data_time: 0.015 memory: 5148 grad_norm: 5.7905 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4347 loss: 1.4347 2022/06/28 06:25:34 - mmengine - INFO - Epoch(train) [45][2520/3757] lr: 1.000e-03 eta: 15:19:50 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 6.0067 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5616 loss: 1.5616 2022/06/28 06:25:39 - mmengine - INFO - Epoch(train) [45][2540/3757] lr: 1.000e-03 eta: 15:19:44 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 6.2418 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2471 loss: 1.2471 2022/06/28 06:25:45 - mmengine - INFO - Epoch(train) [45][2560/3757] lr: 1.000e-03 eta: 15:19:39 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 5.7853 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4353 loss: 1.4353 2022/06/28 06:25:50 - mmengine - INFO - Epoch(train) [45][2580/3757] lr: 1.000e-03 eta: 15:19:34 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 5.9091 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8380 loss: 1.8380 2022/06/28 06:25:55 - mmengine - INFO - Epoch(train) [45][2600/3757] lr: 1.000e-03 eta: 15:19:29 time: 0.188 data_time: 0.007 memory: 5148 grad_norm: 6.3973 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7642 loss: 1.7642 2022/06/28 06:26:00 - mmengine - INFO - Epoch(train) [45][2620/3757] lr: 1.000e-03 eta: 15:19:23 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 7.0326 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 1.6054 loss: 1.6054 2022/06/28 06:26:06 - mmengine - INFO - Epoch(train) [45][2640/3757] lr: 1.000e-03 eta: 15:19:18 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 6.0578 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6085 loss: 1.6085 2022/06/28 06:26:11 - mmengine - INFO - Epoch(train) [45][2660/3757] lr: 1.000e-03 eta: 15:19:13 time: 0.200 data_time: 0.013 memory: 5148 grad_norm: 5.5496 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7765 loss: 1.7765 2022/06/28 06:26:17 - mmengine - INFO - Epoch(train) [45][2680/3757] lr: 1.000e-03 eta: 15:19:08 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 6.5450 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3359 loss: 1.3359 2022/06/28 06:26:20 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 06:26:22 - mmengine - INFO - Epoch(train) [45][2700/3757] lr: 1.000e-03 eta: 15:19:02 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.9466 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8624 loss: 1.8624 2022/06/28 06:26:28 - mmengine - INFO - Epoch(train) [45][2720/3757] lr: 1.000e-03 eta: 15:18:58 time: 0.223 data_time: 0.011 memory: 5148 grad_norm: 6.5802 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7958 loss: 1.7958 2022/06/28 06:26:33 - mmengine - INFO - Epoch(train) [45][2740/3757] lr: 1.000e-03 eta: 15:18:52 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.6334 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4560 loss: 1.4560 2022/06/28 06:26:38 - mmengine - INFO - Epoch(train) [45][2760/3757] lr: 1.000e-03 eta: 15:18:47 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 6.7544 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.3897 loss: 1.3897 2022/06/28 06:26:44 - mmengine - INFO - Epoch(train) [45][2780/3757] lr: 1.000e-03 eta: 15:18:42 time: 0.204 data_time: 0.017 memory: 5148 grad_norm: 5.9294 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6739 loss: 1.6739 2022/06/28 06:26:49 - mmengine - INFO - Epoch(train) [45][2800/3757] lr: 1.000e-03 eta: 15:18:36 time: 0.196 data_time: 0.016 memory: 5148 grad_norm: 6.6142 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3007 loss: 1.3007 2022/06/28 06:26:54 - mmengine - INFO - Epoch(train) [45][2820/3757] lr: 1.000e-03 eta: 15:18:30 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 6.7526 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5571 loss: 1.5571 2022/06/28 06:27:00 - mmengine - INFO - Epoch(train) [45][2840/3757] lr: 1.000e-03 eta: 15:18:25 time: 0.211 data_time: 0.024 memory: 5148 grad_norm: 6.4774 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7009 loss: 1.7009 2022/06/28 06:27:05 - mmengine - INFO - Epoch(train) [45][2860/3757] lr: 1.000e-03 eta: 15:18:20 time: 0.205 data_time: 0.014 memory: 5148 grad_norm: 7.0894 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3705 loss: 1.3705 2022/06/28 06:27:10 - mmengine - INFO - Epoch(train) [45][2880/3757] lr: 1.000e-03 eta: 15:18:15 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 6.1573 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3662 loss: 1.3662 2022/06/28 06:27:16 - mmengine - INFO - Epoch(train) [45][2900/3757] lr: 1.000e-03 eta: 15:18:10 time: 0.199 data_time: 0.021 memory: 5148 grad_norm: 6.7596 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4121 loss: 1.4121 2022/06/28 06:27:21 - mmengine - INFO - Epoch(train) [45][2920/3757] lr: 1.000e-03 eta: 15:18:04 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 6.1764 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3345 loss: 1.3345 2022/06/28 06:27:27 - mmengine - INFO - Epoch(train) [45][2940/3757] lr: 1.000e-03 eta: 15:18:00 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 5.9531 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5719 loss: 1.5719 2022/06/28 06:27:32 - mmengine - INFO - Epoch(train) [45][2960/3757] lr: 1.000e-03 eta: 15:17:54 time: 0.217 data_time: 0.036 memory: 5148 grad_norm: 6.1386 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8609 loss: 1.8609 2022/06/28 06:27:37 - mmengine - INFO - Epoch(train) [45][2980/3757] lr: 1.000e-03 eta: 15:17:49 time: 0.195 data_time: 0.013 memory: 5148 grad_norm: 5.4462 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7139 loss: 1.7139 2022/06/28 06:27:42 - mmengine - INFO - Epoch(train) [45][3000/3757] lr: 1.000e-03 eta: 15:17:43 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 7.1276 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7713 loss: 1.7713 2022/06/28 06:27:48 - mmengine - INFO - Epoch(train) [45][3020/3757] lr: 1.000e-03 eta: 15:17:39 time: 0.213 data_time: 0.032 memory: 5148 grad_norm: 6.7876 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3820 loss: 1.3820 2022/06/28 06:27:53 - mmengine - INFO - Epoch(train) [45][3040/3757] lr: 1.000e-03 eta: 15:17:33 time: 0.200 data_time: 0.013 memory: 5148 grad_norm: 6.8543 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.4176 loss: 1.4176 2022/06/28 06:27:58 - mmengine - INFO - Epoch(train) [45][3060/3757] lr: 1.000e-03 eta: 15:17:27 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 5.9893 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7369 loss: 1.7369 2022/06/28 06:28:04 - mmengine - INFO - Epoch(train) [45][3080/3757] lr: 1.000e-03 eta: 15:17:22 time: 0.206 data_time: 0.031 memory: 5148 grad_norm: 5.1297 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7359 loss: 1.7359 2022/06/28 06:28:09 - mmengine - INFO - Epoch(train) [45][3100/3757] lr: 1.000e-03 eta: 15:17:17 time: 0.204 data_time: 0.013 memory: 5148 grad_norm: 6.3648 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6143 loss: 1.6143 2022/06/28 06:28:14 - mmengine - INFO - Epoch(train) [45][3120/3757] lr: 1.000e-03 eta: 15:17:11 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 5.3980 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3299 loss: 1.3299 2022/06/28 06:28:20 - mmengine - INFO - Epoch(train) [45][3140/3757] lr: 1.000e-03 eta: 15:17:06 time: 0.200 data_time: 0.023 memory: 5148 grad_norm: 7.0163 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6313 loss: 1.6313 2022/06/28 06:28:25 - mmengine - INFO - Epoch(train) [45][3160/3757] lr: 1.000e-03 eta: 15:17:01 time: 0.212 data_time: 0.013 memory: 5148 grad_norm: 6.0468 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6814 loss: 1.6814 2022/06/28 06:28:30 - mmengine - INFO - Epoch(train) [45][3180/3757] lr: 1.000e-03 eta: 15:16:55 time: 0.196 data_time: 0.018 memory: 5148 grad_norm: 5.6200 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0624 loss: 2.0624 2022/06/28 06:28:35 - mmengine - INFO - Epoch(train) [45][3200/3757] lr: 1.000e-03 eta: 15:16:50 time: 0.199 data_time: 0.018 memory: 5148 grad_norm: 6.1744 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5286 loss: 1.5286 2022/06/28 06:28:41 - mmengine - INFO - Epoch(train) [45][3220/3757] lr: 1.000e-03 eta: 15:16:45 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.2705 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3003 loss: 1.3003 2022/06/28 06:28:46 - mmengine - INFO - Epoch(train) [45][3240/3757] lr: 1.000e-03 eta: 15:16:40 time: 0.217 data_time: 0.030 memory: 5148 grad_norm: 5.6436 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3715 loss: 1.3715 2022/06/28 06:28:52 - mmengine - INFO - Epoch(train) [45][3260/3757] lr: 1.000e-03 eta: 15:16:35 time: 0.204 data_time: 0.014 memory: 5148 grad_norm: 5.2498 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6473 loss: 1.6473 2022/06/28 06:28:58 - mmengine - INFO - Epoch(train) [45][3280/3757] lr: 1.000e-03 eta: 15:16:30 time: 0.207 data_time: 0.006 memory: 5148 grad_norm: 6.6856 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4656 loss: 1.4656 2022/06/28 06:29:02 - mmengine - INFO - Epoch(train) [45][3300/3757] lr: 1.000e-03 eta: 15:16:24 time: 0.209 data_time: 0.028 memory: 5148 grad_norm: 5.8957 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5092 loss: 1.5092 2022/06/28 06:29:08 - mmengine - INFO - Epoch(train) [45][3320/3757] lr: 1.000e-03 eta: 15:16:19 time: 0.205 data_time: 0.014 memory: 5148 grad_norm: 6.3454 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4994 loss: 1.4994 2022/06/28 06:29:14 - mmengine - INFO - Epoch(train) [45][3340/3757] lr: 1.000e-03 eta: 15:16:14 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 5.3506 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3919 loss: 1.3919 2022/06/28 06:29:19 - mmengine - INFO - Epoch(train) [45][3360/3757] lr: 1.000e-03 eta: 15:16:09 time: 0.206 data_time: 0.020 memory: 5148 grad_norm: 5.6952 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6503 loss: 1.6503 2022/06/28 06:29:24 - mmengine - INFO - Epoch(train) [45][3380/3757] lr: 1.000e-03 eta: 15:16:03 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 6.6880 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5937 loss: 1.5937 2022/06/28 06:29:29 - mmengine - INFO - Epoch(train) [45][3400/3757] lr: 1.000e-03 eta: 15:15:57 time: 0.197 data_time: 0.015 memory: 5148 grad_norm: 6.9972 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6732 loss: 1.6732 2022/06/28 06:29:34 - mmengine - INFO - Epoch(train) [45][3420/3757] lr: 1.000e-03 eta: 15:15:51 time: 0.206 data_time: 0.019 memory: 5148 grad_norm: 6.2743 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6306 loss: 1.6306 2022/06/28 06:29:39 - mmengine - INFO - Epoch(train) [45][3440/3757] lr: 1.000e-03 eta: 15:15:46 time: 0.204 data_time: 0.016 memory: 5148 grad_norm: 5.9429 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7830 loss: 1.7830 2022/06/28 06:29:44 - mmengine - INFO - Epoch(train) [45][3460/3757] lr: 1.000e-03 eta: 15:15:41 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 5.3280 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3111 loss: 1.3111 2022/06/28 06:29:50 - mmengine - INFO - Epoch(train) [45][3480/3757] lr: 1.000e-03 eta: 15:15:35 time: 0.207 data_time: 0.020 memory: 5148 grad_norm: 6.7192 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5521 loss: 1.5521 2022/06/28 06:29:55 - mmengine - INFO - Epoch(train) [45][3500/3757] lr: 1.000e-03 eta: 15:15:30 time: 0.208 data_time: 0.020 memory: 5148 grad_norm: 5.4425 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6581 loss: 1.6581 2022/06/28 06:30:00 - mmengine - INFO - Epoch(train) [45][3520/3757] lr: 1.000e-03 eta: 15:15:25 time: 0.207 data_time: 0.013 memory: 5148 grad_norm: 5.9159 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2824 loss: 1.2824 2022/06/28 06:30:06 - mmengine - INFO - Epoch(train) [45][3540/3757] lr: 1.000e-03 eta: 15:15:20 time: 0.762 data_time: 0.013 memory: 5148 grad_norm: 6.3448 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6852 loss: 1.6852 2022/06/28 06:30:11 - mmengine - INFO - Epoch(train) [45][3560/3757] lr: 1.000e-03 eta: 15:15:14 time: 0.201 data_time: 0.018 memory: 5148 grad_norm: 5.1785 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5729 loss: 1.5729 2022/06/28 06:30:17 - mmengine - INFO - Epoch(train) [45][3580/3757] lr: 1.000e-03 eta: 15:15:10 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 6.2878 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3274 loss: 1.3274 2022/06/28 06:30:23 - mmengine - INFO - Epoch(train) [45][3600/3757] lr: 1.000e-03 eta: 15:15:05 time: 0.717 data_time: 0.030 memory: 5148 grad_norm: 5.8531 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6624 loss: 1.6624 2022/06/28 06:30:27 - mmengine - INFO - Epoch(train) [45][3620/3757] lr: 1.000e-03 eta: 15:14:59 time: 0.202 data_time: 0.014 memory: 5148 grad_norm: 6.6151 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0191 loss: 1.0191 2022/06/28 06:30:33 - mmengine - INFO - Epoch(train) [45][3640/3757] lr: 1.000e-03 eta: 15:14:54 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 6.5138 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2239 loss: 1.2239 2022/06/28 06:30:38 - mmengine - INFO - Epoch(train) [45][3660/3757] lr: 1.000e-03 eta: 15:14:48 time: 0.666 data_time: 0.143 memory: 5148 grad_norm: 6.0389 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6168 loss: 1.6168 2022/06/28 06:30:43 - mmengine - INFO - Epoch(train) [45][3680/3757] lr: 1.000e-03 eta: 15:14:43 time: 0.205 data_time: 0.013 memory: 5148 grad_norm: 7.7173 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4836 loss: 1.4836 2022/06/28 06:30:46 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 06:30:49 - mmengine - INFO - Epoch(train) [45][3700/3757] lr: 1.000e-03 eta: 15:14:38 time: 0.192 data_time: 0.008 memory: 5148 grad_norm: 5.5618 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2760 loss: 1.2760 2022/06/28 06:30:55 - mmengine - INFO - Epoch(train) [45][3720/3757] lr: 1.000e-03 eta: 15:14:33 time: 1.077 data_time: 0.023 memory: 5148 grad_norm: 6.8795 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6501 loss: 1.6501 2022/06/28 06:30:59 - mmengine - INFO - Epoch(train) [45][3740/3757] lr: 1.000e-03 eta: 15:14:27 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 5.7277 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7635 loss: 1.7635 2022/06/28 06:31:03 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 06:31:03 - mmengine - INFO - Saving checkpoint at 45 epochs 2022/06/28 06:31:12 - mmengine - INFO - Epoch(val) [45][20/310] eta: 0:01:10 time: 0.230 data_time: 0.145 memory: 5148 2022/06/28 06:31:16 - mmengine - INFO - Epoch(val) [45][40/310] eta: 0:01:01 time: 0.084 data_time: 0.005 memory: 1367 2022/06/28 06:31:22 - mmengine - INFO - Epoch(val) [45][60/310] eta: 0:00:56 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 06:31:27 - mmengine - INFO - Epoch(val) [45][80/310] eta: 0:00:58 time: 0.085 data_time: 0.008 memory: 1367 2022/06/28 06:31:33 - mmengine - INFO - Epoch(val) [45][100/310] eta: 0:00:51 time: 0.087 data_time: 0.005 memory: 1367 2022/06/28 06:31:38 - mmengine - INFO - Epoch(val) [45][120/310] eta: 0:00:44 time: 0.086 data_time: 0.008 memory: 1367 2022/06/28 06:31:44 - mmengine - INFO - Epoch(val) [45][140/310] eta: 0:00:44 time: 0.336 data_time: 0.254 memory: 1367 2022/06/28 06:31:48 - mmengine - INFO - Epoch(val) [45][160/310] eta: 0:00:35 time: 0.098 data_time: 0.022 memory: 1367 2022/06/28 06:31:55 - mmengine - INFO - Epoch(val) [45][180/310] eta: 0:00:41 time: 0.826 data_time: 0.750 memory: 1367 2022/06/28 06:31:59 - mmengine - INFO - Epoch(val) [45][200/310] eta: 0:00:25 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 06:32:05 - mmengine - INFO - Epoch(val) [45][220/310] eta: 0:00:32 time: 0.127 data_time: 0.055 memory: 1367 2022/06/28 06:32:10 - mmengine - INFO - Epoch(val) [45][240/310] eta: 0:00:14 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 06:32:16 - mmengine - INFO - Epoch(val) [45][260/310] eta: 0:00:18 time: 0.080 data_time: 0.009 memory: 1367 2022/06/28 06:32:21 - mmengine - INFO - Epoch(val) [45][280/310] eta: 0:00:06 time: 0.075 data_time: 0.004 memory: 1367 2022/06/28 06:32:25 - mmengine - INFO - Epoch(val) [45][300/310] eta: 0:00:02 time: 0.397 data_time: 0.321 memory: 1367 2022/06/28 06:32:28 - mmengine - INFO - Epoch(val) [45][310/310] acc/top1: 0.6384 acc/top5: 0.8503 acc/mean1: 0.6383 2022/06/28 06:32:36 - mmengine - INFO - Epoch(train) [46][20/3757] lr: 1.000e-03 eta: 15:14:18 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 6.6425 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8069 loss: 1.8069 2022/06/28 06:32:42 - mmengine - INFO - Epoch(train) [46][40/3757] lr: 1.000e-03 eta: 15:14:13 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.3647 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3673 loss: 1.3673 2022/06/28 06:32:47 - mmengine - INFO - Epoch(train) [46][60/3757] lr: 1.000e-03 eta: 15:14:07 time: 0.205 data_time: 0.006 memory: 5148 grad_norm: 6.9974 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6306 loss: 1.6306 2022/06/28 06:32:52 - mmengine - INFO - Epoch(train) [46][80/3757] lr: 1.000e-03 eta: 15:14:02 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 6.7474 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5361 loss: 1.5361 2022/06/28 06:32:58 - mmengine - INFO - Epoch(train) [46][100/3757] lr: 1.000e-03 eta: 15:13:57 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.8934 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5188 loss: 1.5188 2022/06/28 06:33:03 - mmengine - INFO - Epoch(train) [46][120/3757] lr: 1.000e-03 eta: 15:13:52 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 6.1142 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5717 loss: 1.5717 2022/06/28 06:33:08 - mmengine - INFO - Epoch(train) [46][140/3757] lr: 1.000e-03 eta: 15:13:47 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 6.0866 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4331 loss: 1.4331 2022/06/28 06:33:14 - mmengine - INFO - Epoch(train) [46][160/3757] lr: 1.000e-03 eta: 15:13:42 time: 0.213 data_time: 0.008 memory: 5148 grad_norm: 6.3892 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5265 loss: 1.5265 2022/06/28 06:33:19 - mmengine - INFO - Epoch(train) [46][180/3757] lr: 1.000e-03 eta: 15:13:36 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.0616 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3665 loss: 1.3665 2022/06/28 06:33:25 - mmengine - INFO - Epoch(train) [46][200/3757] lr: 1.000e-03 eta: 15:13:31 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.4699 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2190 loss: 2.2190 2022/06/28 06:33:30 - mmengine - INFO - Epoch(train) [46][220/3757] lr: 1.000e-03 eta: 15:13:26 time: 0.253 data_time: 0.007 memory: 5148 grad_norm: 5.9149 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5072 loss: 1.5072 2022/06/28 06:33:35 - mmengine - INFO - Epoch(train) [46][240/3757] lr: 1.000e-03 eta: 15:13:20 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.2583 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5721 loss: 1.5721 2022/06/28 06:33:41 - mmengine - INFO - Epoch(train) [46][260/3757] lr: 1.000e-03 eta: 15:13:15 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.2366 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1902 loss: 1.1902 2022/06/28 06:33:46 - mmengine - INFO - Epoch(train) [46][280/3757] lr: 1.000e-03 eta: 15:13:10 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.6393 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6502 loss: 1.6502 2022/06/28 06:33:51 - mmengine - INFO - Epoch(train) [46][300/3757] lr: 1.000e-03 eta: 15:13:04 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 5.9273 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0542 loss: 2.0542 2022/06/28 06:33:57 - mmengine - INFO - Epoch(train) [46][320/3757] lr: 1.000e-03 eta: 15:13:00 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 7.3154 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6599 loss: 1.6599 2022/06/28 06:34:03 - mmengine - INFO - Epoch(train) [46][340/3757] lr: 1.000e-03 eta: 15:12:55 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 5.1490 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4815 loss: 1.4815 2022/06/28 06:34:08 - mmengine - INFO - Epoch(train) [46][360/3757] lr: 1.000e-03 eta: 15:12:49 time: 0.235 data_time: 0.008 memory: 5148 grad_norm: 6.4371 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2938 loss: 1.2938 2022/06/28 06:34:13 - mmengine - INFO - Epoch(train) [46][380/3757] lr: 1.000e-03 eta: 15:12:44 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 6.3686 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6763 loss: 1.6763 2022/06/28 06:34:19 - mmengine - INFO - Epoch(train) [46][400/3757] lr: 1.000e-03 eta: 15:12:39 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 6.1341 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5196 loss: 1.5196 2022/06/28 06:34:24 - mmengine - INFO - Epoch(train) [46][420/3757] lr: 1.000e-03 eta: 15:12:33 time: 0.224 data_time: 0.007 memory: 5148 grad_norm: 5.7041 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5902 loss: 1.5902 2022/06/28 06:34:29 - mmengine - INFO - Epoch(train) [46][440/3757] lr: 1.000e-03 eta: 15:12:28 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.2756 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6609 loss: 1.6609 2022/06/28 06:34:35 - mmengine - INFO - Epoch(train) [46][460/3757] lr: 1.000e-03 eta: 15:12:23 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 6.5567 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2162 loss: 1.2162 2022/06/28 06:34:40 - mmengine - INFO - Epoch(train) [46][480/3757] lr: 1.000e-03 eta: 15:12:17 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 7.1879 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7626 loss: 1.7626 2022/06/28 06:34:45 - mmengine - INFO - Epoch(train) [46][500/3757] lr: 1.000e-03 eta: 15:12:12 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 6.1448 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1639 loss: 1.1639 2022/06/28 06:34:51 - mmengine - INFO - Epoch(train) [46][520/3757] lr: 1.000e-03 eta: 15:12:07 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 6.2768 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3582 loss: 1.3582 2022/06/28 06:34:55 - mmengine - INFO - Epoch(train) [46][540/3757] lr: 1.000e-03 eta: 15:12:01 time: 0.222 data_time: 0.040 memory: 5148 grad_norm: 6.2200 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5682 loss: 1.5682 2022/06/28 06:35:01 - mmengine - INFO - Epoch(train) [46][560/3757] lr: 1.000e-03 eta: 15:11:56 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 7.0212 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2678 loss: 1.2678 2022/06/28 06:35:06 - mmengine - INFO - Epoch(train) [46][580/3757] lr: 1.000e-03 eta: 15:11:51 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 5.7982 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3291 loss: 1.3291 2022/06/28 06:35:11 - mmengine - INFO - Epoch(train) [46][600/3757] lr: 1.000e-03 eta: 15:11:45 time: 0.201 data_time: 0.012 memory: 5148 grad_norm: 5.0826 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5210 loss: 1.5210 2022/06/28 06:35:17 - mmengine - INFO - Epoch(train) [46][620/3757] lr: 1.000e-03 eta: 15:11:41 time: 0.301 data_time: 0.122 memory: 5148 grad_norm: 5.6614 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5437 loss: 1.5437 2022/06/28 06:35:23 - mmengine - INFO - Epoch(train) [46][640/3757] lr: 1.000e-03 eta: 15:11:36 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 7.1745 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5261 loss: 1.5261 2022/06/28 06:35:28 - mmengine - INFO - Epoch(train) [46][660/3757] lr: 1.000e-03 eta: 15:11:30 time: 0.195 data_time: 0.013 memory: 5148 grad_norm: 7.1296 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4269 loss: 1.4269 2022/06/28 06:35:33 - mmengine - INFO - Epoch(train) [46][680/3757] lr: 1.000e-03 eta: 15:11:24 time: 0.195 data_time: 0.013 memory: 5148 grad_norm: 5.4017 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2285 loss: 1.2285 2022/06/28 06:35:38 - mmengine - INFO - Epoch(train) [46][700/3757] lr: 1.000e-03 eta: 15:11:19 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 6.3537 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3995 loss: 1.3995 2022/06/28 06:35:43 - mmengine - INFO - Epoch(train) [46][720/3757] lr: 1.000e-03 eta: 15:11:13 time: 0.196 data_time: 0.012 memory: 5148 grad_norm: 6.7753 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5435 loss: 1.5435 2022/06/28 06:35:50 - mmengine - INFO - Epoch(train) [46][740/3757] lr: 1.000e-03 eta: 15:11:09 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 5.5809 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4589 loss: 1.4589 2022/06/28 06:35:54 - mmengine - INFO - Epoch(train) [46][760/3757] lr: 1.000e-03 eta: 15:11:03 time: 0.208 data_time: 0.010 memory: 5148 grad_norm: 6.1083 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2624 loss: 1.2624 2022/06/28 06:35:59 - mmengine - INFO - Epoch(train) [46][780/3757] lr: 1.000e-03 eta: 15:10:57 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.8661 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4802 loss: 1.4802 2022/06/28 06:36:05 - mmengine - INFO - Epoch(train) [46][800/3757] lr: 1.000e-03 eta: 15:10:52 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 6.6882 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5161 loss: 1.5161 2022/06/28 06:36:10 - mmengine - INFO - Epoch(train) [46][820/3757] lr: 1.000e-03 eta: 15:10:47 time: 0.218 data_time: 0.009 memory: 5148 grad_norm: 6.8357 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3636 loss: 1.3636 2022/06/28 06:36:15 - mmengine - INFO - Epoch(train) [46][840/3757] lr: 1.000e-03 eta: 15:10:41 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 6.6574 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6541 loss: 1.6541 2022/06/28 06:36:20 - mmengine - INFO - Epoch(train) [46][860/3757] lr: 1.000e-03 eta: 15:10:35 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 6.7252 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4555 loss: 1.4555 2022/06/28 06:36:26 - mmengine - INFO - Epoch(train) [46][880/3757] lr: 1.000e-03 eta: 15:10:31 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.7784 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2280 loss: 1.2280 2022/06/28 06:36:31 - mmengine - INFO - Epoch(train) [46][900/3757] lr: 1.000e-03 eta: 15:10:25 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.4338 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5042 loss: 1.5042 2022/06/28 06:36:36 - mmengine - INFO - Epoch(train) [46][920/3757] lr: 1.000e-03 eta: 15:10:20 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 5.8015 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4876 loss: 1.4876 2022/06/28 06:36:40 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 06:36:42 - mmengine - INFO - Epoch(train) [46][940/3757] lr: 1.000e-03 eta: 15:10:15 time: 0.202 data_time: 0.012 memory: 5148 grad_norm: 6.3823 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2700 loss: 1.2700 2022/06/28 06:36:47 - mmengine - INFO - Epoch(train) [46][960/3757] lr: 1.000e-03 eta: 15:10:09 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 6.2254 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3021 loss: 1.3021 2022/06/28 06:36:53 - mmengine - INFO - Epoch(train) [46][980/3757] lr: 1.000e-03 eta: 15:10:04 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 5.8364 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1532 loss: 1.1532 2022/06/28 06:36:58 - mmengine - INFO - Epoch(train) [46][1000/3757] lr: 1.000e-03 eta: 15:09:59 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 6.4503 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7421 loss: 1.7421 2022/06/28 06:37:04 - mmengine - INFO - Epoch(train) [46][1020/3757] lr: 1.000e-03 eta: 15:09:55 time: 1.086 data_time: 0.007 memory: 5148 grad_norm: 6.6575 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5883 loss: 1.5883 2022/06/28 06:37:09 - mmengine - INFO - Epoch(train) [46][1040/3757] lr: 1.000e-03 eta: 15:09:49 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 7.1715 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6542 loss: 1.6542 2022/06/28 06:37:14 - mmengine - INFO - Epoch(train) [46][1060/3757] lr: 1.000e-03 eta: 15:09:44 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 5.9363 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4961 loss: 1.4961 2022/06/28 06:37:20 - mmengine - INFO - Epoch(train) [46][1080/3757] lr: 1.000e-03 eta: 15:09:39 time: 0.675 data_time: 0.007 memory: 5148 grad_norm: 6.8699 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7014 loss: 1.7014 2022/06/28 06:37:25 - mmengine - INFO - Epoch(train) [46][1100/3757] lr: 1.000e-03 eta: 15:09:32 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 5.3585 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4576 loss: 1.4576 2022/06/28 06:37:30 - mmengine - INFO - Epoch(train) [46][1120/3757] lr: 1.000e-03 eta: 15:09:27 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 5.4354 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8299 loss: 1.8299 2022/06/28 06:37:36 - mmengine - INFO - Epoch(train) [46][1140/3757] lr: 1.000e-03 eta: 15:09:22 time: 0.782 data_time: 0.006 memory: 5148 grad_norm: 5.8429 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7844 loss: 1.7844 2022/06/28 06:37:41 - mmengine - INFO - Epoch(train) [46][1160/3757] lr: 1.000e-03 eta: 15:09:17 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.4924 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3773 loss: 1.3773 2022/06/28 06:37:46 - mmengine - INFO - Epoch(train) [46][1180/3757] lr: 1.000e-03 eta: 15:09:12 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 6.4163 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4294 loss: 1.4294 2022/06/28 06:37:52 - mmengine - INFO - Epoch(train) [46][1200/3757] lr: 1.000e-03 eta: 15:09:07 time: 0.903 data_time: 0.008 memory: 5148 grad_norm: 7.0255 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4418 loss: 1.4418 2022/06/28 06:37:57 - mmengine - INFO - Epoch(train) [46][1220/3757] lr: 1.000e-03 eta: 15:09:01 time: 0.400 data_time: 0.008 memory: 5148 grad_norm: 5.2193 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4887 loss: 1.4887 2022/06/28 06:38:03 - mmengine - INFO - Epoch(train) [46][1240/3757] lr: 1.000e-03 eta: 15:08:56 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 6.1763 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9892 loss: 1.9892 2022/06/28 06:38:08 - mmengine - INFO - Epoch(train) [46][1260/3757] lr: 1.000e-03 eta: 15:08:51 time: 0.335 data_time: 0.007 memory: 5148 grad_norm: 6.3169 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2918 loss: 1.2918 2022/06/28 06:38:13 - mmengine - INFO - Epoch(train) [46][1280/3757] lr: 1.000e-03 eta: 15:08:45 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 4.7320 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6918 loss: 1.6918 2022/06/28 06:38:18 - mmengine - INFO - Epoch(train) [46][1300/3757] lr: 1.000e-03 eta: 15:08:40 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 6.9928 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5639 loss: 1.5639 2022/06/28 06:38:24 - mmengine - INFO - Epoch(train) [46][1320/3757] lr: 1.000e-03 eta: 15:08:35 time: 0.884 data_time: 0.008 memory: 5148 grad_norm: 5.9458 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4377 loss: 1.4377 2022/06/28 06:38:29 - mmengine - INFO - Epoch(train) [46][1340/3757] lr: 1.000e-03 eta: 15:08:29 time: 0.202 data_time: 0.012 memory: 5148 grad_norm: 6.2461 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7442 loss: 1.7442 2022/06/28 06:38:34 - mmengine - INFO - Epoch(train) [46][1360/3757] lr: 1.000e-03 eta: 15:08:23 time: 0.210 data_time: 0.006 memory: 5148 grad_norm: 6.5029 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8451 loss: 1.8451 2022/06/28 06:38:39 - mmengine - INFO - Epoch(train) [46][1380/3757] lr: 1.000e-03 eta: 15:08:18 time: 1.059 data_time: 0.009 memory: 5148 grad_norm: 6.3618 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2631 loss: 1.2631 2022/06/28 06:38:44 - mmengine - INFO - Epoch(train) [46][1400/3757] lr: 1.000e-03 eta: 15:08:13 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 6.1499 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2854 loss: 1.2854 2022/06/28 06:38:50 - mmengine - INFO - Epoch(train) [46][1420/3757] lr: 1.000e-03 eta: 15:08:08 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 5.5184 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5488 loss: 1.5488 2022/06/28 06:38:56 - mmengine - INFO - Epoch(train) [46][1440/3757] lr: 1.000e-03 eta: 15:08:03 time: 0.701 data_time: 0.007 memory: 5148 grad_norm: 6.1091 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7132 loss: 1.7132 2022/06/28 06:39:01 - mmengine - INFO - Epoch(train) [46][1460/3757] lr: 1.000e-03 eta: 15:07:57 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 5.5561 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2545 loss: 1.2545 2022/06/28 06:39:06 - mmengine - INFO - Epoch(train) [46][1480/3757] lr: 1.000e-03 eta: 15:07:52 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 6.3862 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1884 loss: 1.1884 2022/06/28 06:39:12 - mmengine - INFO - Epoch(train) [46][1500/3757] lr: 1.000e-03 eta: 15:07:47 time: 0.374 data_time: 0.008 memory: 5148 grad_norm: 5.6101 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6187 loss: 1.6187 2022/06/28 06:39:17 - mmengine - INFO - Epoch(train) [46][1520/3757] lr: 1.000e-03 eta: 15:07:42 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.4623 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3416 loss: 1.3416 2022/06/28 06:39:23 - mmengine - INFO - Epoch(train) [46][1540/3757] lr: 1.000e-03 eta: 15:07:37 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.8006 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4636 loss: 1.4636 2022/06/28 06:39:28 - mmengine - INFO - Epoch(train) [46][1560/3757] lr: 1.000e-03 eta: 15:07:31 time: 0.411 data_time: 0.011 memory: 5148 grad_norm: 6.1308 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5119 loss: 1.5119 2022/06/28 06:39:33 - mmengine - INFO - Epoch(train) [46][1580/3757] lr: 1.000e-03 eta: 15:07:26 time: 0.200 data_time: 0.005 memory: 5148 grad_norm: 6.1793 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5671 loss: 1.5671 2022/06/28 06:39:39 - mmengine - INFO - Epoch(train) [46][1600/3757] lr: 1.000e-03 eta: 15:07:21 time: 0.225 data_time: 0.007 memory: 5148 grad_norm: 6.6819 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3917 loss: 1.3917 2022/06/28 06:39:43 - mmengine - INFO - Epoch(train) [46][1620/3757] lr: 1.000e-03 eta: 15:07:15 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 6.4956 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4202 loss: 1.4202 2022/06/28 06:39:49 - mmengine - INFO - Epoch(train) [46][1640/3757] lr: 1.000e-03 eta: 15:07:10 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 5.1540 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6501 loss: 1.6501 2022/06/28 06:39:55 - mmengine - INFO - Epoch(train) [46][1660/3757] lr: 1.000e-03 eta: 15:07:05 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 6.0196 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2280 loss: 1.2280 2022/06/28 06:40:00 - mmengine - INFO - Epoch(train) [46][1680/3757] lr: 1.000e-03 eta: 15:06:59 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 6.2110 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1529 loss: 1.1529 2022/06/28 06:40:05 - mmengine - INFO - Epoch(train) [46][1700/3757] lr: 1.000e-03 eta: 15:06:55 time: 0.209 data_time: 0.025 memory: 5148 grad_norm: 5.6117 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5401 loss: 1.5401 2022/06/28 06:40:10 - mmengine - INFO - Epoch(train) [46][1720/3757] lr: 1.000e-03 eta: 15:06:48 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 5.0692 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4539 loss: 1.4539 2022/06/28 06:40:15 - mmengine - INFO - Epoch(train) [46][1740/3757] lr: 1.000e-03 eta: 15:06:43 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 5.6936 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7319 loss: 1.7319 2022/06/28 06:40:21 - mmengine - INFO - Epoch(train) [46][1760/3757] lr: 1.000e-03 eta: 15:06:38 time: 0.240 data_time: 0.012 memory: 5148 grad_norm: 6.1632 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4288 loss: 1.4288 2022/06/28 06:40:26 - mmengine - INFO - Epoch(train) [46][1780/3757] lr: 1.000e-03 eta: 15:06:33 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 6.6137 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1207 loss: 1.1207 2022/06/28 06:40:31 - mmengine - INFO - Epoch(train) [46][1800/3757] lr: 1.000e-03 eta: 15:06:27 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 6.2448 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4301 loss: 1.4301 2022/06/28 06:40:37 - mmengine - INFO - Epoch(train) [46][1820/3757] lr: 1.000e-03 eta: 15:06:22 time: 0.232 data_time: 0.010 memory: 5148 grad_norm: 6.0522 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4123 loss: 1.4123 2022/06/28 06:40:42 - mmengine - INFO - Epoch(train) [46][1840/3757] lr: 1.000e-03 eta: 15:06:16 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.3533 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4195 loss: 1.4195 2022/06/28 06:40:47 - mmengine - INFO - Epoch(train) [46][1860/3757] lr: 1.000e-03 eta: 15:06:11 time: 0.205 data_time: 0.006 memory: 5148 grad_norm: 7.2557 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4049 loss: 1.4049 2022/06/28 06:40:52 - mmengine - INFO - Epoch(train) [46][1880/3757] lr: 1.000e-03 eta: 15:06:06 time: 0.436 data_time: 0.006 memory: 5148 grad_norm: 7.4815 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 1.4035 loss: 1.4035 2022/06/28 06:40:58 - mmengine - INFO - Epoch(train) [46][1900/3757] lr: 1.000e-03 eta: 15:06:00 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 6.8846 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4364 loss: 1.4364 2022/06/28 06:41:03 - mmengine - INFO - Epoch(train) [46][1920/3757] lr: 1.000e-03 eta: 15:05:55 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 6.3888 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5562 loss: 1.5562 2022/06/28 06:41:07 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 06:41:08 - mmengine - INFO - Epoch(train) [46][1940/3757] lr: 1.000e-03 eta: 15:05:50 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 6.2675 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4950 loss: 1.4950 2022/06/28 06:41:14 - mmengine - INFO - Epoch(train) [46][1960/3757] lr: 1.000e-03 eta: 15:05:45 time: 0.212 data_time: 0.006 memory: 5148 grad_norm: 6.3024 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3924 loss: 1.3924 2022/06/28 06:41:19 - mmengine - INFO - Epoch(train) [46][1980/3757] lr: 1.000e-03 eta: 15:05:39 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.3259 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.5212 loss: 1.5212 2022/06/28 06:41:24 - mmengine - INFO - Epoch(train) [46][2000/3757] lr: 1.000e-03 eta: 15:05:33 time: 0.218 data_time: 0.007 memory: 5148 grad_norm: 5.7757 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2014 loss: 1.2014 2022/06/28 06:41:29 - mmengine - INFO - Epoch(train) [46][2020/3757] lr: 1.000e-03 eta: 15:05:28 time: 0.422 data_time: 0.010 memory: 5148 grad_norm: 5.6882 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5505 loss: 1.5505 2022/06/28 06:41:34 - mmengine - INFO - Epoch(train) [46][2040/3757] lr: 1.000e-03 eta: 15:05:22 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 6.5010 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5186 loss: 1.5186 2022/06/28 06:41:39 - mmengine - INFO - Epoch(train) [46][2060/3757] lr: 1.000e-03 eta: 15:05:17 time: 0.226 data_time: 0.006 memory: 5148 grad_norm: 6.7887 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1807 loss: 1.1807 2022/06/28 06:41:45 - mmengine - INFO - Epoch(train) [46][2080/3757] lr: 1.000e-03 eta: 15:05:12 time: 0.592 data_time: 0.007 memory: 5148 grad_norm: 6.4844 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4184 loss: 1.4184 2022/06/28 06:41:51 - mmengine - INFO - Epoch(train) [46][2100/3757] lr: 1.000e-03 eta: 15:05:07 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.5306 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5541 loss: 1.5541 2022/06/28 06:41:56 - mmengine - INFO - Epoch(train) [46][2120/3757] lr: 1.000e-03 eta: 15:05:01 time: 0.884 data_time: 0.007 memory: 5148 grad_norm: 6.2582 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6955 loss: 1.6955 2022/06/28 06:42:00 - mmengine - INFO - Epoch(train) [46][2140/3757] lr: 1.000e-03 eta: 15:04:55 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 6.3397 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7200 loss: 1.7200 2022/06/28 06:42:06 - mmengine - INFO - Epoch(train) [46][2160/3757] lr: 1.000e-03 eta: 15:04:51 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.0068 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6219 loss: 1.6219 2022/06/28 06:42:12 - mmengine - INFO - Epoch(train) [46][2180/3757] lr: 1.000e-03 eta: 15:04:45 time: 0.796 data_time: 0.007 memory: 5148 grad_norm: 6.4235 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1592 loss: 1.1592 2022/06/28 06:42:16 - mmengine - INFO - Epoch(train) [46][2200/3757] lr: 1.000e-03 eta: 15:04:39 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 7.1190 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1921 loss: 1.1921 2022/06/28 06:42:22 - mmengine - INFO - Epoch(train) [46][2220/3757] lr: 1.000e-03 eta: 15:04:34 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 6.2688 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3642 loss: 1.3642 2022/06/28 06:42:27 - mmengine - INFO - Epoch(train) [46][2240/3757] lr: 1.000e-03 eta: 15:04:29 time: 1.088 data_time: 0.006 memory: 5148 grad_norm: 7.7930 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4920 loss: 1.4920 2022/06/28 06:42:32 - mmengine - INFO - Epoch(train) [46][2260/3757] lr: 1.000e-03 eta: 15:04:23 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.5126 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0934 loss: 2.0934 2022/06/28 06:42:38 - mmengine - INFO - Epoch(train) [46][2280/3757] lr: 1.000e-03 eta: 15:04:18 time: 0.195 data_time: 0.013 memory: 5148 grad_norm: 5.6080 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6031 loss: 1.6031 2022/06/28 06:42:43 - mmengine - INFO - Epoch(train) [46][2300/3757] lr: 1.000e-03 eta: 15:04:12 time: 0.685 data_time: 0.007 memory: 5148 grad_norm: 6.8322 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5682 loss: 1.5682 2022/06/28 06:42:47 - mmengine - INFO - Epoch(train) [46][2320/3757] lr: 1.000e-03 eta: 15:04:06 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 5.1036 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4483 loss: 1.4483 2022/06/28 06:42:53 - mmengine - INFO - Epoch(train) [46][2340/3757] lr: 1.000e-03 eta: 15:04:01 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 7.5231 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3149 loss: 1.3149 2022/06/28 06:42:59 - mmengine - INFO - Epoch(train) [46][2360/3757] lr: 1.000e-03 eta: 15:03:57 time: 1.322 data_time: 0.007 memory: 5148 grad_norm: 6.4144 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5313 loss: 1.5313 2022/06/28 06:43:03 - mmengine - INFO - Epoch(train) [46][2380/3757] lr: 1.000e-03 eta: 15:03:50 time: 0.205 data_time: 0.017 memory: 5148 grad_norm: 6.4966 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1655 loss: 1.1655 2022/06/28 06:43:09 - mmengine - INFO - Epoch(train) [46][2400/3757] lr: 1.000e-03 eta: 15:03:46 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.6626 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6703 loss: 1.6703 2022/06/28 06:43:15 - mmengine - INFO - Epoch(train) [46][2420/3757] lr: 1.000e-03 eta: 15:03:41 time: 1.040 data_time: 0.013 memory: 5148 grad_norm: 6.4657 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2188 loss: 1.2188 2022/06/28 06:43:19 - mmengine - INFO - Epoch(train) [46][2440/3757] lr: 1.000e-03 eta: 15:03:35 time: 0.209 data_time: 0.024 memory: 5148 grad_norm: 7.0735 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8065 loss: 1.8065 2022/06/28 06:43:24 - mmengine - INFO - Epoch(train) [46][2460/3757] lr: 1.000e-03 eta: 15:03:29 time: 0.218 data_time: 0.009 memory: 5148 grad_norm: 6.4339 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3269 loss: 1.3269 2022/06/28 06:43:30 - mmengine - INFO - Epoch(train) [46][2480/3757] lr: 1.000e-03 eta: 15:03:24 time: 0.243 data_time: 0.007 memory: 5148 grad_norm: 6.1318 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3051 loss: 1.3051 2022/06/28 06:43:35 - mmengine - INFO - Epoch(train) [46][2500/3757] lr: 1.000e-03 eta: 15:03:18 time: 0.203 data_time: 0.019 memory: 5148 grad_norm: 6.5112 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4937 loss: 1.4937 2022/06/28 06:43:41 - mmengine - INFO - Epoch(train) [46][2520/3757] lr: 1.000e-03 eta: 15:03:13 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.1014 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5266 loss: 1.5266 2022/06/28 06:43:46 - mmengine - INFO - Epoch(train) [46][2540/3757] lr: 1.000e-03 eta: 15:03:08 time: 0.661 data_time: 0.013 memory: 5148 grad_norm: 6.2096 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4502 loss: 1.4502 2022/06/28 06:43:51 - mmengine - INFO - Epoch(train) [46][2560/3757] lr: 1.000e-03 eta: 15:03:03 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.6292 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.2517 loss: 1.2517 2022/06/28 06:43:56 - mmengine - INFO - Epoch(train) [46][2580/3757] lr: 1.000e-03 eta: 15:02:57 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.6429 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4802 loss: 1.4802 2022/06/28 06:44:02 - mmengine - INFO - Epoch(train) [46][2600/3757] lr: 1.000e-03 eta: 15:02:52 time: 0.210 data_time: 0.021 memory: 5148 grad_norm: 5.6557 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4579 loss: 1.4579 2022/06/28 06:44:07 - mmengine - INFO - Epoch(train) [46][2620/3757] lr: 1.000e-03 eta: 15:02:47 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.3939 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.5944 loss: 1.5944 2022/06/28 06:44:12 - mmengine - INFO - Epoch(train) [46][2640/3757] lr: 1.000e-03 eta: 15:02:41 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 7.2534 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0273 loss: 2.0273 2022/06/28 06:44:18 - mmengine - INFO - Epoch(train) [46][2660/3757] lr: 1.000e-03 eta: 15:02:36 time: 0.692 data_time: 0.013 memory: 5148 grad_norm: 6.2665 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5728 loss: 1.5728 2022/06/28 06:44:23 - mmengine - INFO - Epoch(train) [46][2680/3757] lr: 1.000e-03 eta: 15:02:31 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 6.5731 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4233 loss: 1.4233 2022/06/28 06:44:28 - mmengine - INFO - Epoch(train) [46][2700/3757] lr: 1.000e-03 eta: 15:02:25 time: 0.229 data_time: 0.009 memory: 5148 grad_norm: 4.2726 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4080 loss: 1.4080 2022/06/28 06:44:34 - mmengine - INFO - Epoch(train) [46][2720/3757] lr: 1.000e-03 eta: 15:02:20 time: 0.205 data_time: 0.013 memory: 5148 grad_norm: 6.5995 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5525 loss: 1.5525 2022/06/28 06:44:39 - mmengine - INFO - Epoch(train) [46][2740/3757] lr: 1.000e-03 eta: 15:02:15 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 7.1607 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5040 loss: 1.5040 2022/06/28 06:44:44 - mmengine - INFO - Epoch(train) [46][2760/3757] lr: 1.000e-03 eta: 15:02:09 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 5.8913 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7016 loss: 1.7016 2022/06/28 06:44:50 - mmengine - INFO - Epoch(train) [46][2780/3757] lr: 1.000e-03 eta: 15:02:04 time: 0.203 data_time: 0.015 memory: 5148 grad_norm: 5.5671 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5259 loss: 1.5259 2022/06/28 06:44:56 - mmengine - INFO - Epoch(train) [46][2800/3757] lr: 1.000e-03 eta: 15:02:00 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 6.4900 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8900 loss: 1.8900 2022/06/28 06:45:01 - mmengine - INFO - Epoch(train) [46][2820/3757] lr: 1.000e-03 eta: 15:01:54 time: 0.221 data_time: 0.008 memory: 5148 grad_norm: 5.5412 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4582 loss: 1.4582 2022/06/28 06:45:07 - mmengine - INFO - Epoch(train) [46][2840/3757] lr: 1.000e-03 eta: 15:01:49 time: 0.206 data_time: 0.006 memory: 5148 grad_norm: 6.9388 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3663 loss: 1.3663 2022/06/28 06:45:12 - mmengine - INFO - Epoch(train) [46][2860/3757] lr: 1.000e-03 eta: 15:01:44 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 7.0067 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6286 loss: 1.6286 2022/06/28 06:45:17 - mmengine - INFO - Epoch(train) [46][2880/3757] lr: 1.000e-03 eta: 15:01:38 time: 0.195 data_time: 0.015 memory: 5148 grad_norm: 5.8356 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2703 loss: 1.2703 2022/06/28 06:45:22 - mmengine - INFO - Epoch(train) [46][2900/3757] lr: 1.000e-03 eta: 15:01:33 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 5.7979 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3368 loss: 1.3368 2022/06/28 06:45:28 - mmengine - INFO - Epoch(train) [46][2920/3757] lr: 1.000e-03 eta: 15:01:28 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 7.0158 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4948 loss: 1.4948 2022/06/28 06:45:31 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 06:45:32 - mmengine - INFO - Epoch(train) [46][2940/3757] lr: 1.000e-03 eta: 15:01:22 time: 0.207 data_time: 0.017 memory: 5148 grad_norm: 7.1977 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8255 loss: 1.8255 2022/06/28 06:45:39 - mmengine - INFO - Epoch(train) [46][2960/3757] lr: 1.000e-03 eta: 15:01:18 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 6.5456 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0082 loss: 1.0082 2022/06/28 06:45:44 - mmengine - INFO - Epoch(train) [46][2980/3757] lr: 1.000e-03 eta: 15:01:12 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 7.6325 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5820 loss: 1.5820 2022/06/28 06:45:49 - mmengine - INFO - Epoch(train) [46][3000/3757] lr: 1.000e-03 eta: 15:01:06 time: 0.196 data_time: 0.009 memory: 5148 grad_norm: 6.5232 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3023 loss: 1.3023 2022/06/28 06:45:54 - mmengine - INFO - Epoch(train) [46][3020/3757] lr: 1.000e-03 eta: 15:01:01 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 7.1764 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.6701 loss: 1.6701 2022/06/28 06:46:00 - mmengine - INFO - Epoch(train) [46][3040/3757] lr: 1.000e-03 eta: 15:00:57 time: 0.245 data_time: 0.006 memory: 5148 grad_norm: 6.0469 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4543 loss: 1.4543 2022/06/28 06:46:04 - mmengine - INFO - Epoch(train) [46][3060/3757] lr: 1.000e-03 eta: 15:00:50 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 5.9486 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5016 loss: 1.5016 2022/06/28 06:46:10 - mmengine - INFO - Epoch(train) [46][3080/3757] lr: 1.000e-03 eta: 15:00:45 time: 0.198 data_time: 0.016 memory: 5148 grad_norm: 5.5000 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4521 loss: 1.4521 2022/06/28 06:46:16 - mmengine - INFO - Epoch(train) [46][3100/3757] lr: 1.000e-03 eta: 15:00:40 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.6917 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7150 loss: 1.7150 2022/06/28 06:46:21 - mmengine - INFO - Epoch(train) [46][3120/3757] lr: 1.000e-03 eta: 15:00:35 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 7.2348 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6339 loss: 1.6339 2022/06/28 06:46:26 - mmengine - INFO - Epoch(train) [46][3140/3757] lr: 1.000e-03 eta: 15:00:29 time: 0.215 data_time: 0.013 memory: 5148 grad_norm: 7.3685 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2048 loss: 1.2048 2022/06/28 06:46:31 - mmengine - INFO - Epoch(train) [46][3160/3757] lr: 1.000e-03 eta: 15:00:24 time: 0.194 data_time: 0.013 memory: 5148 grad_norm: 6.2166 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3877 loss: 1.3877 2022/06/28 06:46:36 - mmengine - INFO - Epoch(train) [46][3180/3757] lr: 1.000e-03 eta: 15:00:18 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 7.2880 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6731 loss: 1.6731 2022/06/28 06:46:42 - mmengine - INFO - Epoch(train) [46][3200/3757] lr: 1.000e-03 eta: 15:00:13 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 4.9522 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7105 loss: 1.7105 2022/06/28 06:46:47 - mmengine - INFO - Epoch(train) [46][3220/3757] lr: 1.000e-03 eta: 15:00:08 time: 0.192 data_time: 0.010 memory: 5148 grad_norm: 5.4276 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5112 loss: 1.5112 2022/06/28 06:46:52 - mmengine - INFO - Epoch(train) [46][3240/3757] lr: 1.000e-03 eta: 15:00:02 time: 0.211 data_time: 0.006 memory: 5148 grad_norm: 6.3132 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5665 loss: 1.5665 2022/06/28 06:46:57 - mmengine - INFO - Epoch(train) [46][3260/3757] lr: 1.000e-03 eta: 14:59:57 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 5.8012 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3522 loss: 1.3522 2022/06/28 06:47:03 - mmengine - INFO - Epoch(train) [46][3280/3757] lr: 1.000e-03 eta: 14:59:52 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.0233 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2975 loss: 1.2975 2022/06/28 06:47:08 - mmengine - INFO - Epoch(train) [46][3300/3757] lr: 1.000e-03 eta: 14:59:46 time: 0.210 data_time: 0.010 memory: 5148 grad_norm: 5.7102 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5117 loss: 1.5117 2022/06/28 06:47:14 - mmengine - INFO - Epoch(train) [46][3320/3757] lr: 1.000e-03 eta: 14:59:41 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 6.1914 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3391 loss: 1.3391 2022/06/28 06:47:19 - mmengine - INFO - Epoch(train) [46][3340/3757] lr: 1.000e-03 eta: 14:59:36 time: 0.199 data_time: 0.022 memory: 5148 grad_norm: 6.1001 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4101 loss: 1.4101 2022/06/28 06:47:24 - mmengine - INFO - Epoch(train) [46][3360/3757] lr: 1.000e-03 eta: 14:59:30 time: 0.217 data_time: 0.006 memory: 5148 grad_norm: 4.7783 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5041 loss: 1.5041 2022/06/28 06:47:29 - mmengine - INFO - Epoch(train) [46][3380/3757] lr: 1.000e-03 eta: 14:59:25 time: 0.196 data_time: 0.014 memory: 5148 grad_norm: 6.2257 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.6770 loss: 1.6770 2022/06/28 06:47:35 - mmengine - INFO - Epoch(train) [46][3400/3757] lr: 1.000e-03 eta: 14:59:20 time: 0.207 data_time: 0.024 memory: 5148 grad_norm: 6.2595 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6011 loss: 1.6011 2022/06/28 06:47:41 - mmengine - INFO - Epoch(train) [46][3420/3757] lr: 1.000e-03 eta: 14:59:15 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 6.1751 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4888 loss: 1.4888 2022/06/28 06:47:46 - mmengine - INFO - Epoch(train) [46][3440/3757] lr: 1.000e-03 eta: 14:59:09 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.4626 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6537 loss: 1.6537 2022/06/28 06:47:51 - mmengine - INFO - Epoch(train) [46][3460/3757] lr: 1.000e-03 eta: 14:59:04 time: 0.214 data_time: 0.029 memory: 5148 grad_norm: 6.3717 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8011 loss: 1.8011 2022/06/28 06:47:56 - mmengine - INFO - Epoch(train) [46][3480/3757] lr: 1.000e-03 eta: 14:58:58 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 5.8924 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7335 loss: 1.7335 2022/06/28 06:48:01 - mmengine - INFO - Epoch(train) [46][3500/3757] lr: 1.000e-03 eta: 14:58:53 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 5.7819 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7273 loss: 1.7273 2022/06/28 06:48:07 - mmengine - INFO - Epoch(train) [46][3520/3757] lr: 1.000e-03 eta: 14:58:48 time: 0.208 data_time: 0.025 memory: 5148 grad_norm: 6.2100 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4978 loss: 1.4978 2022/06/28 06:48:12 - mmengine - INFO - Epoch(train) [46][3540/3757] lr: 1.000e-03 eta: 14:58:43 time: 0.192 data_time: 0.010 memory: 5148 grad_norm: 6.3220 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4438 loss: 1.4438 2022/06/28 06:48:18 - mmengine - INFO - Epoch(train) [46][3560/3757] lr: 1.000e-03 eta: 14:58:37 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.2618 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3127 loss: 1.3127 2022/06/28 06:48:23 - mmengine - INFO - Epoch(train) [46][3580/3757] lr: 1.000e-03 eta: 14:58:32 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.7882 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4804 loss: 1.4804 2022/06/28 06:48:28 - mmengine - INFO - Epoch(train) [46][3600/3757] lr: 1.000e-03 eta: 14:58:27 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 5.4149 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4515 loss: 1.4515 2022/06/28 06:48:33 - mmengine - INFO - Epoch(train) [46][3620/3757] lr: 1.000e-03 eta: 14:58:21 time: 0.194 data_time: 0.016 memory: 5148 grad_norm: 7.1120 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5658 loss: 1.5658 2022/06/28 06:48:39 - mmengine - INFO - Epoch(train) [46][3640/3757] lr: 1.000e-03 eta: 14:58:16 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 5.9979 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4918 loss: 1.4918 2022/06/28 06:48:44 - mmengine - INFO - Epoch(train) [46][3660/3757] lr: 1.000e-03 eta: 14:58:11 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 6.5217 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1585 loss: 1.1585 2022/06/28 06:48:49 - mmengine - INFO - Epoch(train) [46][3680/3757] lr: 1.000e-03 eta: 14:58:05 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 7.1837 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6237 loss: 1.6237 2022/06/28 06:48:55 - mmengine - INFO - Epoch(train) [46][3700/3757] lr: 1.000e-03 eta: 14:58:01 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.4603 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7177 loss: 1.7177 2022/06/28 06:49:00 - mmengine - INFO - Epoch(train) [46][3720/3757] lr: 1.000e-03 eta: 14:57:55 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 6.7253 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6900 loss: 1.6900 2022/06/28 06:49:06 - mmengine - INFO - Epoch(train) [46][3740/3757] lr: 1.000e-03 eta: 14:57:50 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.3778 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2925 loss: 1.2925 2022/06/28 06:49:09 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 06:49:16 - mmengine - INFO - Epoch(val) [46][20/310] eta: 0:01:04 time: 0.104 data_time: 0.033 memory: 5148 2022/06/28 06:49:20 - mmengine - INFO - Epoch(val) [46][40/310] eta: 0:01:01 time: 0.087 data_time: 0.013 memory: 1367 2022/06/28 06:49:26 - mmengine - INFO - Epoch(val) [46][60/310] eta: 0:00:54 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 06:49:31 - mmengine - INFO - Epoch(val) [46][80/310] eta: 0:00:59 time: 0.265 data_time: 0.193 memory: 1367 2022/06/28 06:49:37 - mmengine - INFO - Epoch(val) [46][100/310] eta: 0:00:47 time: 0.085 data_time: 0.009 memory: 1367 2022/06/28 06:49:41 - mmengine - INFO - Epoch(val) [46][120/310] eta: 0:00:47 time: 0.288 data_time: 0.212 memory: 1367 2022/06/28 06:49:47 - mmengine - INFO - Epoch(val) [46][140/310] eta: 0:00:41 time: 0.399 data_time: 0.315 memory: 1367 2022/06/28 06:49:53 - mmengine - INFO - Epoch(val) [46][160/310] eta: 0:00:39 time: 0.496 data_time: 0.424 memory: 1367 2022/06/28 06:49:58 - mmengine - INFO - Epoch(val) [46][180/310] eta: 0:00:37 time: 0.085 data_time: 0.009 memory: 1367 2022/06/28 06:50:03 - mmengine - INFO - Epoch(val) [46][200/310] eta: 0:00:28 time: 0.180 data_time: 0.103 memory: 1367 2022/06/28 06:50:09 - mmengine - INFO - Epoch(val) [46][220/310] eta: 0:00:31 time: 0.081 data_time: 0.005 memory: 1367 2022/06/28 06:50:14 - mmengine - INFO - Epoch(val) [46][240/310] eta: 0:00:16 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 06:50:20 - mmengine - INFO - Epoch(val) [46][260/310] eta: 0:00:19 time: 0.092 data_time: 0.005 memory: 1367 2022/06/28 06:50:24 - mmengine - INFO - Epoch(val) [46][280/310] eta: 0:00:07 time: 0.079 data_time: 0.008 memory: 1367 2022/06/28 06:50:30 - mmengine - INFO - Epoch(val) [46][300/310] eta: 0:00:03 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 06:50:33 - mmengine - INFO - Epoch(val) [46][310/310] acc/top1: 0.6390 acc/top5: 0.8504 acc/mean1: 0.6389 2022/06/28 06:50:42 - mmengine - INFO - Epoch(train) [47][20/3757] lr: 1.000e-03 eta: 14:57:41 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 6.8489 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3745 loss: 1.3745 2022/06/28 06:50:47 - mmengine - INFO - Epoch(train) [47][40/3757] lr: 1.000e-03 eta: 14:57:36 time: 0.190 data_time: 0.006 memory: 5148 grad_norm: 5.9382 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1465 loss: 1.1465 2022/06/28 06:50:53 - mmengine - INFO - Epoch(train) [47][60/3757] lr: 1.000e-03 eta: 14:57:30 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.1719 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3850 loss: 1.3850 2022/06/28 06:50:58 - mmengine - INFO - Epoch(train) [47][80/3757] lr: 1.000e-03 eta: 14:57:25 time: 0.191 data_time: 0.006 memory: 5148 grad_norm: 6.4772 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5224 loss: 1.5224 2022/06/28 06:51:04 - mmengine - INFO - Epoch(train) [47][100/3757] lr: 1.000e-03 eta: 14:57:20 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.0686 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8682 loss: 1.8682 2022/06/28 06:51:09 - mmengine - INFO - Epoch(train) [47][120/3757] lr: 1.000e-03 eta: 14:57:15 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 6.1997 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4170 loss: 1.4170 2022/06/28 06:51:15 - mmengine - INFO - Epoch(train) [47][140/3757] lr: 1.000e-03 eta: 14:57:10 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 5.8329 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6468 loss: 1.6468 2022/06/28 06:51:20 - mmengine - INFO - Epoch(train) [47][160/3757] lr: 1.000e-03 eta: 14:57:05 time: 0.420 data_time: 0.013 memory: 5148 grad_norm: 6.8878 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7842 loss: 1.7842 2022/06/28 06:51:25 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 06:51:25 - mmengine - INFO - Epoch(train) [47][180/3757] lr: 1.000e-03 eta: 14:56:59 time: 0.189 data_time: 0.007 memory: 5148 grad_norm: 6.3649 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0033 loss: 1.0033 2022/06/28 06:51:31 - mmengine - INFO - Epoch(train) [47][200/3757] lr: 1.000e-03 eta: 14:56:54 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 7.1116 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5060 loss: 1.5060 2022/06/28 06:51:36 - mmengine - INFO - Epoch(train) [47][220/3757] lr: 1.000e-03 eta: 14:56:49 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 6.0475 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9763 loss: 1.9763 2022/06/28 06:51:41 - mmengine - INFO - Epoch(train) [47][240/3757] lr: 1.000e-03 eta: 14:56:43 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 6.3779 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9447 loss: 1.9447 2022/06/28 06:51:46 - mmengine - INFO - Epoch(train) [47][260/3757] lr: 1.000e-03 eta: 14:56:38 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.9901 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2707 loss: 1.2707 2022/06/28 06:51:52 - mmengine - INFO - Epoch(train) [47][280/3757] lr: 1.000e-03 eta: 14:56:33 time: 0.212 data_time: 0.006 memory: 5148 grad_norm: 8.1340 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4971 loss: 1.4971 2022/06/28 06:51:57 - mmengine - INFO - Epoch(train) [47][300/3757] lr: 1.000e-03 eta: 14:56:27 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 6.2704 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2464 loss: 1.2464 2022/06/28 06:52:02 - mmengine - INFO - Epoch(train) [47][320/3757] lr: 1.000e-03 eta: 14:56:22 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 6.0915 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5366 loss: 1.5366 2022/06/28 06:52:08 - mmengine - INFO - Epoch(train) [47][340/3757] lr: 1.000e-03 eta: 14:56:16 time: 0.359 data_time: 0.007 memory: 5148 grad_norm: 6.1449 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5716 loss: 1.5716 2022/06/28 06:52:13 - mmengine - INFO - Epoch(train) [47][360/3757] lr: 1.000e-03 eta: 14:56:11 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 6.0712 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5113 loss: 1.5113 2022/06/28 06:52:18 - mmengine - INFO - Epoch(train) [47][380/3757] lr: 1.000e-03 eta: 14:56:06 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.6295 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4035 loss: 1.4035 2022/06/28 06:52:24 - mmengine - INFO - Epoch(train) [47][400/3757] lr: 1.000e-03 eta: 14:56:01 time: 0.364 data_time: 0.008 memory: 5148 grad_norm: 6.7865 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4784 loss: 1.4784 2022/06/28 06:52:29 - mmengine - INFO - Epoch(train) [47][420/3757] lr: 1.000e-03 eta: 14:55:55 time: 0.219 data_time: 0.007 memory: 5148 grad_norm: 6.1230 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3349 loss: 1.3349 2022/06/28 06:52:35 - mmengine - INFO - Epoch(train) [47][440/3757] lr: 1.000e-03 eta: 14:55:50 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.8635 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2816 loss: 1.2816 2022/06/28 06:52:40 - mmengine - INFO - Epoch(train) [47][460/3757] lr: 1.000e-03 eta: 14:55:45 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 6.7006 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7331 loss: 1.7331 2022/06/28 06:52:45 - mmengine - INFO - Epoch(train) [47][480/3757] lr: 1.000e-03 eta: 14:55:39 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 6.5542 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3058 loss: 1.3058 2022/06/28 06:52:51 - mmengine - INFO - Epoch(train) [47][500/3757] lr: 1.000e-03 eta: 14:55:35 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 7.2061 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2953 loss: 1.2953 2022/06/28 06:52:55 - mmengine - INFO - Epoch(train) [47][520/3757] lr: 1.000e-03 eta: 14:55:28 time: 0.218 data_time: 0.010 memory: 5148 grad_norm: 6.1242 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9742 loss: 1.9742 2022/06/28 06:53:01 - mmengine - INFO - Epoch(train) [47][540/3757] lr: 1.000e-03 eta: 14:55:23 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 7.1866 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5687 loss: 1.5687 2022/06/28 06:53:06 - mmengine - INFO - Epoch(train) [47][560/3757] lr: 1.000e-03 eta: 14:55:18 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 7.1755 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2498 loss: 1.2498 2022/06/28 06:53:12 - mmengine - INFO - Epoch(train) [47][580/3757] lr: 1.000e-03 eta: 14:55:13 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 6.1614 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9028 loss: 0.9028 2022/06/28 06:53:17 - mmengine - INFO - Epoch(train) [47][600/3757] lr: 1.000e-03 eta: 14:55:07 time: 0.405 data_time: 0.007 memory: 5148 grad_norm: 5.9714 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5685 loss: 1.5685 2022/06/28 06:53:22 - mmengine - INFO - Epoch(train) [47][620/3757] lr: 1.000e-03 eta: 14:55:02 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 5.5624 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5277 loss: 1.5277 2022/06/28 06:53:28 - mmengine - INFO - Epoch(train) [47][640/3757] lr: 1.000e-03 eta: 14:54:57 time: 0.197 data_time: 0.009 memory: 5148 grad_norm: 6.5323 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2508 loss: 1.2508 2022/06/28 06:53:33 - mmengine - INFO - Epoch(train) [47][660/3757] lr: 1.000e-03 eta: 14:54:52 time: 0.699 data_time: 0.008 memory: 5148 grad_norm: 6.5353 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1597 loss: 1.1597 2022/06/28 06:53:38 - mmengine - INFO - Epoch(train) [47][680/3757] lr: 1.000e-03 eta: 14:54:46 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 6.0411 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5477 loss: 1.5477 2022/06/28 06:53:44 - mmengine - INFO - Epoch(train) [47][700/3757] lr: 1.000e-03 eta: 14:54:41 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 6.1718 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3434 loss: 1.3434 2022/06/28 06:53:49 - mmengine - INFO - Epoch(train) [47][720/3757] lr: 1.000e-03 eta: 14:54:36 time: 0.998 data_time: 0.008 memory: 5148 grad_norm: 7.4850 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6090 loss: 1.6090 2022/06/28 06:53:54 - mmengine - INFO - Epoch(train) [47][740/3757] lr: 1.000e-03 eta: 14:54:31 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 6.4204 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3197 loss: 1.3197 2022/06/28 06:54:00 - mmengine - INFO - Epoch(train) [47][760/3757] lr: 1.000e-03 eta: 14:54:25 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 6.3155 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4281 loss: 1.4281 2022/06/28 06:54:05 - mmengine - INFO - Epoch(train) [47][780/3757] lr: 1.000e-03 eta: 14:54:20 time: 0.686 data_time: 0.007 memory: 5148 grad_norm: 6.1308 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6070 loss: 1.6070 2022/06/28 06:54:11 - mmengine - INFO - Epoch(train) [47][800/3757] lr: 1.000e-03 eta: 14:54:15 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.6363 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7903 loss: 1.7903 2022/06/28 06:54:16 - mmengine - INFO - Epoch(train) [47][820/3757] lr: 1.000e-03 eta: 14:54:10 time: 0.200 data_time: 0.016 memory: 5148 grad_norm: 6.7365 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3787 loss: 1.3787 2022/06/28 06:54:21 - mmengine - INFO - Epoch(train) [47][840/3757] lr: 1.000e-03 eta: 14:54:04 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 5.8778 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4524 loss: 1.4524 2022/06/28 06:54:26 - mmengine - INFO - Epoch(train) [47][860/3757] lr: 1.000e-03 eta: 14:53:58 time: 0.194 data_time: 0.013 memory: 5148 grad_norm: 7.7176 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6147 loss: 1.6147 2022/06/28 06:54:32 - mmengine - INFO - Epoch(train) [47][880/3757] lr: 1.000e-03 eta: 14:53:54 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 5.1906 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6057 loss: 1.6057 2022/06/28 06:54:37 - mmengine - INFO - Epoch(train) [47][900/3757] lr: 1.000e-03 eta: 14:53:48 time: 0.213 data_time: 0.006 memory: 5148 grad_norm: 6.2457 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6859 loss: 1.6859 2022/06/28 06:54:42 - mmengine - INFO - Epoch(train) [47][920/3757] lr: 1.000e-03 eta: 14:53:43 time: 0.197 data_time: 0.018 memory: 5148 grad_norm: 4.7072 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6949 loss: 1.6949 2022/06/28 06:54:48 - mmengine - INFO - Epoch(train) [47][940/3757] lr: 1.000e-03 eta: 14:53:38 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.9384 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6660 loss: 1.6660 2022/06/28 06:54:53 - mmengine - INFO - Epoch(train) [47][960/3757] lr: 1.000e-03 eta: 14:53:32 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.6955 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1926 loss: 1.1926 2022/06/28 06:54:58 - mmengine - INFO - Epoch(train) [47][980/3757] lr: 1.000e-03 eta: 14:53:27 time: 0.214 data_time: 0.015 memory: 5148 grad_norm: 5.8639 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1942 loss: 1.1942 2022/06/28 06:55:04 - mmengine - INFO - Epoch(train) [47][1000/3757] lr: 1.000e-03 eta: 14:53:22 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 5.4534 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7784 loss: 1.7784 2022/06/28 06:55:10 - mmengine - INFO - Epoch(train) [47][1020/3757] lr: 1.000e-03 eta: 14:53:17 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.9903 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5062 loss: 1.5062 2022/06/28 06:55:15 - mmengine - INFO - Epoch(train) [47][1040/3757] lr: 1.000e-03 eta: 14:53:11 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 6.5243 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3453 loss: 1.3453 2022/06/28 06:55:21 - mmengine - INFO - Epoch(train) [47][1060/3757] lr: 1.000e-03 eta: 14:53:07 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.7275 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3394 loss: 1.3394 2022/06/28 06:55:25 - mmengine - INFO - Epoch(train) [47][1080/3757] lr: 1.000e-03 eta: 14:53:01 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 6.7533 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6079 loss: 1.6079 2022/06/28 06:55:32 - mmengine - INFO - Epoch(train) [47][1100/3757] lr: 1.000e-03 eta: 14:52:57 time: 0.235 data_time: 0.054 memory: 5148 grad_norm: 5.6529 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2586 loss: 1.2586 2022/06/28 06:55:36 - mmengine - INFO - Epoch(train) [47][1120/3757] lr: 1.000e-03 eta: 14:52:50 time: 0.197 data_time: 0.014 memory: 5148 grad_norm: 4.8130 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6566 loss: 1.6566 2022/06/28 06:55:40 - mmengine - INFO - Epoch(train) [47][1140/3757] lr: 1.000e-03 eta: 14:52:44 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 5.9110 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5353 loss: 1.5353 2022/06/28 06:55:46 - mmengine - INFO - Epoch(train) [47][1160/3757] lr: 1.000e-03 eta: 14:52:39 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 6.5831 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6273 loss: 1.6273 2022/06/28 06:55:52 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 06:55:52 - mmengine - INFO - Epoch(train) [47][1180/3757] lr: 1.000e-03 eta: 14:52:34 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 6.0159 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8310 loss: 1.8310 2022/06/28 06:55:57 - mmengine - INFO - Epoch(train) [47][1200/3757] lr: 1.000e-03 eta: 14:52:28 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 6.1222 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5825 loss: 1.5825 2022/06/28 06:56:03 - mmengine - INFO - Epoch(train) [47][1220/3757] lr: 1.000e-03 eta: 14:52:24 time: 0.225 data_time: 0.010 memory: 5148 grad_norm: 7.3074 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2538 loss: 1.2538 2022/06/28 06:56:08 - mmengine - INFO - Epoch(train) [47][1240/3757] lr: 1.000e-03 eta: 14:52:18 time: 0.193 data_time: 0.009 memory: 5148 grad_norm: 6.7369 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6129 loss: 1.6129 2022/06/28 06:56:13 - mmengine - INFO - Epoch(train) [47][1260/3757] lr: 1.000e-03 eta: 14:52:13 time: 0.209 data_time: 0.010 memory: 5148 grad_norm: 6.8466 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6227 loss: 1.6227 2022/06/28 06:56:18 - mmengine - INFO - Epoch(train) [47][1280/3757] lr: 1.000e-03 eta: 14:52:07 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.0580 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7460 loss: 1.7460 2022/06/28 06:56:24 - mmengine - INFO - Epoch(train) [47][1300/3757] lr: 1.000e-03 eta: 14:52:03 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 6.8749 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5818 loss: 1.5818 2022/06/28 06:56:29 - mmengine - INFO - Epoch(train) [47][1320/3757] lr: 1.000e-03 eta: 14:51:57 time: 0.296 data_time: 0.010 memory: 5148 grad_norm: 5.9833 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4629 loss: 1.4629 2022/06/28 06:56:35 - mmengine - INFO - Epoch(train) [47][1340/3757] lr: 1.000e-03 eta: 14:51:52 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.3491 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8686 loss: 1.8686 2022/06/28 06:56:40 - mmengine - INFO - Epoch(train) [47][1360/3757] lr: 1.000e-03 eta: 14:51:47 time: 0.224 data_time: 0.007 memory: 5148 grad_norm: 6.5410 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2255 loss: 1.2255 2022/06/28 06:56:45 - mmengine - INFO - Epoch(train) [47][1380/3757] lr: 1.000e-03 eta: 14:51:41 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 5.8664 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9594 loss: 0.9594 2022/06/28 06:56:51 - mmengine - INFO - Epoch(train) [47][1400/3757] lr: 1.000e-03 eta: 14:51:36 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 6.0205 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7692 loss: 1.7692 2022/06/28 06:56:56 - mmengine - INFO - Epoch(train) [47][1420/3757] lr: 1.000e-03 eta: 14:51:31 time: 0.234 data_time: 0.018 memory: 5148 grad_norm: 5.1532 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5959 loss: 1.5959 2022/06/28 06:57:01 - mmengine - INFO - Epoch(train) [47][1440/3757] lr: 1.000e-03 eta: 14:51:26 time: 0.196 data_time: 0.006 memory: 5148 grad_norm: 7.2401 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3116 loss: 1.3116 2022/06/28 06:57:07 - mmengine - INFO - Epoch(train) [47][1460/3757] lr: 1.000e-03 eta: 14:51:21 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.1165 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7247 loss: 1.7247 2022/06/28 06:57:13 - mmengine - INFO - Epoch(train) [47][1480/3757] lr: 1.000e-03 eta: 14:51:15 time: 0.207 data_time: 0.015 memory: 5148 grad_norm: 5.9737 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6451 loss: 1.6451 2022/06/28 06:57:17 - mmengine - INFO - Epoch(train) [47][1500/3757] lr: 1.000e-03 eta: 14:51:09 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.5960 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5709 loss: 1.5709 2022/06/28 06:57:23 - mmengine - INFO - Epoch(train) [47][1520/3757] lr: 1.000e-03 eta: 14:51:05 time: 0.245 data_time: 0.059 memory: 5148 grad_norm: 6.4646 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4981 loss: 1.4981 2022/06/28 06:57:28 - mmengine - INFO - Epoch(train) [47][1540/3757] lr: 1.000e-03 eta: 14:50:59 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.9334 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5596 loss: 1.5596 2022/06/28 06:57:33 - mmengine - INFO - Epoch(train) [47][1560/3757] lr: 1.000e-03 eta: 14:50:53 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 6.3573 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5946 loss: 1.5946 2022/06/28 06:57:38 - mmengine - INFO - Epoch(train) [47][1580/3757] lr: 1.000e-03 eta: 14:50:48 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 6.9835 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2086 loss: 1.2086 2022/06/28 06:57:44 - mmengine - INFO - Epoch(train) [47][1600/3757] lr: 1.000e-03 eta: 14:50:43 time: 0.224 data_time: 0.010 memory: 5148 grad_norm: 6.5328 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0675 loss: 1.0675 2022/06/28 06:57:48 - mmengine - INFO - Epoch(train) [47][1620/3757] lr: 1.000e-03 eta: 14:50:37 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 5.7847 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2806 loss: 1.2806 2022/06/28 06:57:54 - mmengine - INFO - Epoch(train) [47][1640/3757] lr: 1.000e-03 eta: 14:50:31 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 5.9766 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2854 loss: 1.2854 2022/06/28 06:57:59 - mmengine - INFO - Epoch(train) [47][1660/3757] lr: 1.000e-03 eta: 14:50:26 time: 0.710 data_time: 0.007 memory: 5148 grad_norm: 5.5519 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4747 loss: 1.4747 2022/06/28 06:58:04 - mmengine - INFO - Epoch(train) [47][1680/3757] lr: 1.000e-03 eta: 14:50:20 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.9781 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4421 loss: 1.4421 2022/06/28 06:58:10 - mmengine - INFO - Epoch(train) [47][1700/3757] lr: 1.000e-03 eta: 14:50:16 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.6483 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3000 loss: 1.3000 2022/06/28 06:58:16 - mmengine - INFO - Epoch(train) [47][1720/3757] lr: 1.000e-03 eta: 14:50:11 time: 0.699 data_time: 0.006 memory: 5148 grad_norm: 5.7526 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5417 loss: 1.5417 2022/06/28 06:58:20 - mmengine - INFO - Epoch(train) [47][1740/3757] lr: 1.000e-03 eta: 14:50:05 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.2790 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4127 loss: 1.4127 2022/06/28 06:58:26 - mmengine - INFO - Epoch(train) [47][1760/3757] lr: 1.000e-03 eta: 14:50:00 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 7.4725 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5037 loss: 1.5037 2022/06/28 06:58:32 - mmengine - INFO - Epoch(train) [47][1780/3757] lr: 1.000e-03 eta: 14:49:55 time: 0.407 data_time: 0.006 memory: 5148 grad_norm: 5.6039 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4628 loss: 1.4628 2022/06/28 06:58:37 - mmengine - INFO - Epoch(train) [47][1800/3757] lr: 1.000e-03 eta: 14:49:50 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 6.1696 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2472 loss: 1.2472 2022/06/28 06:58:42 - mmengine - INFO - Epoch(train) [47][1820/3757] lr: 1.000e-03 eta: 14:49:45 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 7.7845 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7043 loss: 1.7043 2022/06/28 06:58:48 - mmengine - INFO - Epoch(train) [47][1840/3757] lr: 1.000e-03 eta: 14:49:40 time: 0.848 data_time: 0.007 memory: 5148 grad_norm: 6.4446 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4628 loss: 1.4628 2022/06/28 06:58:53 - mmengine - INFO - Epoch(train) [47][1860/3757] lr: 1.000e-03 eta: 14:49:33 time: 0.202 data_time: 0.016 memory: 5148 grad_norm: 6.7551 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1416 loss: 1.1416 2022/06/28 06:58:58 - mmengine - INFO - Epoch(train) [47][1880/3757] lr: 1.000e-03 eta: 14:49:29 time: 0.199 data_time: 0.019 memory: 5148 grad_norm: 6.0634 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6639 loss: 1.6639 2022/06/28 06:59:04 - mmengine - INFO - Epoch(train) [47][1900/3757] lr: 1.000e-03 eta: 14:49:24 time: 0.875 data_time: 0.007 memory: 5148 grad_norm: 5.9708 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2581 loss: 1.2581 2022/06/28 06:59:10 - mmengine - INFO - Epoch(train) [47][1920/3757] lr: 1.000e-03 eta: 14:49:19 time: 0.403 data_time: 0.016 memory: 5148 grad_norm: 6.7572 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5168 loss: 1.5168 2022/06/28 06:59:15 - mmengine - INFO - Epoch(train) [47][1940/3757] lr: 1.000e-03 eta: 14:49:13 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 6.1317 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2461 loss: 1.2461 2022/06/28 06:59:20 - mmengine - INFO - Epoch(train) [47][1960/3757] lr: 1.000e-03 eta: 14:49:08 time: 0.639 data_time: 0.007 memory: 5148 grad_norm: 6.0469 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6398 loss: 1.6398 2022/06/28 06:59:25 - mmengine - INFO - Epoch(train) [47][1980/3757] lr: 1.000e-03 eta: 14:49:02 time: 0.201 data_time: 0.019 memory: 5148 grad_norm: 7.6393 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4675 loss: 1.4675 2022/06/28 06:59:31 - mmengine - INFO - Epoch(train) [47][2000/3757] lr: 1.000e-03 eta: 14:48:57 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.6863 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4627 loss: 1.4627 2022/06/28 06:59:36 - mmengine - INFO - Epoch(train) [47][2020/3757] lr: 1.000e-03 eta: 14:48:51 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 6.8073 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3677 loss: 1.3677 2022/06/28 06:59:42 - mmengine - INFO - Epoch(train) [47][2040/3757] lr: 1.000e-03 eta: 14:48:47 time: 0.210 data_time: 0.016 memory: 5148 grad_norm: 6.6430 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6144 loss: 1.6144 2022/06/28 06:59:47 - mmengine - INFO - Epoch(train) [47][2060/3757] lr: 1.000e-03 eta: 14:48:41 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 5.1991 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2057 loss: 1.2057 2022/06/28 06:59:53 - mmengine - INFO - Epoch(train) [47][2080/3757] lr: 1.000e-03 eta: 14:48:37 time: 0.238 data_time: 0.009 memory: 5148 grad_norm: 6.1237 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7490 loss: 1.7490 2022/06/28 06:59:57 - mmengine - INFO - Epoch(train) [47][2100/3757] lr: 1.000e-03 eta: 14:48:30 time: 0.195 data_time: 0.016 memory: 5148 grad_norm: 5.8680 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8395 loss: 1.8395 2022/06/28 07:00:02 - mmengine - INFO - Epoch(train) [47][2120/3757] lr: 1.000e-03 eta: 14:48:25 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 6.8922 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5034 loss: 1.5034 2022/06/28 07:00:08 - mmengine - INFO - Epoch(train) [47][2140/3757] lr: 1.000e-03 eta: 14:48:20 time: 0.902 data_time: 0.007 memory: 5148 grad_norm: 5.9522 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4566 loss: 1.4566 2022/06/28 07:00:13 - mmengine - INFO - Epoch(train) [47][2160/3757] lr: 1.000e-03 eta: 14:48:14 time: 0.206 data_time: 0.013 memory: 5148 grad_norm: 6.0373 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4696 loss: 1.4696 2022/06/28 07:00:18 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 07:00:18 - mmengine - INFO - Epoch(train) [47][2180/3757] lr: 1.000e-03 eta: 14:48:09 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.8468 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3636 loss: 1.3636 2022/06/28 07:00:23 - mmengine - INFO - Epoch(train) [47][2200/3757] lr: 1.000e-03 eta: 14:48:03 time: 0.535 data_time: 0.010 memory: 5148 grad_norm: 5.3405 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6791 loss: 1.6791 2022/06/28 07:00:29 - mmengine - INFO - Epoch(train) [47][2220/3757] lr: 1.000e-03 eta: 14:47:58 time: 0.644 data_time: 0.009 memory: 5148 grad_norm: 6.5422 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5449 loss: 1.5449 2022/06/28 07:00:34 - mmengine - INFO - Epoch(train) [47][2240/3757] lr: 1.000e-03 eta: 14:47:53 time: 0.355 data_time: 0.007 memory: 5148 grad_norm: 5.4490 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5196 loss: 1.5196 2022/06/28 07:00:39 - mmengine - INFO - Epoch(train) [47][2260/3757] lr: 1.000e-03 eta: 14:47:47 time: 0.211 data_time: 0.014 memory: 5148 grad_norm: 6.9502 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4593 loss: 1.4593 2022/06/28 07:00:45 - mmengine - INFO - Epoch(train) [47][2280/3757] lr: 1.000e-03 eta: 14:47:42 time: 0.325 data_time: 0.007 memory: 5148 grad_norm: 6.7239 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2594 loss: 1.2594 2022/06/28 07:00:51 - mmengine - INFO - Epoch(train) [47][2300/3757] lr: 1.000e-03 eta: 14:47:37 time: 0.212 data_time: 0.010 memory: 5148 grad_norm: 6.8548 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4692 loss: 1.4692 2022/06/28 07:00:56 - mmengine - INFO - Epoch(train) [47][2320/3757] lr: 1.000e-03 eta: 14:47:32 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 6.1827 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5742 loss: 1.5742 2022/06/28 07:01:01 - mmengine - INFO - Epoch(train) [47][2340/3757] lr: 1.000e-03 eta: 14:47:27 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 6.4404 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4749 loss: 1.4749 2022/06/28 07:01:07 - mmengine - INFO - Epoch(train) [47][2360/3757] lr: 1.000e-03 eta: 14:47:22 time: 0.533 data_time: 0.007 memory: 5148 grad_norm: 7.0465 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9175 loss: 1.9175 2022/06/28 07:01:12 - mmengine - INFO - Epoch(train) [47][2380/3757] lr: 1.000e-03 eta: 14:47:16 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 6.0784 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5112 loss: 1.5112 2022/06/28 07:01:17 - mmengine - INFO - Epoch(train) [47][2400/3757] lr: 1.000e-03 eta: 14:47:11 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.7342 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9498 loss: 1.9498 2022/06/28 07:01:22 - mmengine - INFO - Epoch(train) [47][2420/3757] lr: 1.000e-03 eta: 14:47:05 time: 0.702 data_time: 0.009 memory: 5148 grad_norm: 5.9836 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6134 loss: 1.6134 2022/06/28 07:01:27 - mmengine - INFO - Epoch(train) [47][2440/3757] lr: 1.000e-03 eta: 14:47:00 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.1349 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5581 loss: 1.5581 2022/06/28 07:01:33 - mmengine - INFO - Epoch(train) [47][2460/3757] lr: 1.000e-03 eta: 14:46:55 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 6.4721 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6375 loss: 1.6375 2022/06/28 07:01:38 - mmengine - INFO - Epoch(train) [47][2480/3757] lr: 1.000e-03 eta: 14:46:50 time: 0.569 data_time: 0.009 memory: 5148 grad_norm: 6.4686 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0650 loss: 1.0650 2022/06/28 07:01:43 - mmengine - INFO - Epoch(train) [47][2500/3757] lr: 1.000e-03 eta: 14:46:43 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 6.0310 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3057 loss: 1.3057 2022/06/28 07:01:49 - mmengine - INFO - Epoch(train) [47][2520/3757] lr: 1.000e-03 eta: 14:46:39 time: 0.219 data_time: 0.007 memory: 5148 grad_norm: 7.0894 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5977 loss: 1.5977 2022/06/28 07:01:54 - mmengine - INFO - Epoch(train) [47][2540/3757] lr: 1.000e-03 eta: 14:46:33 time: 0.805 data_time: 0.007 memory: 5148 grad_norm: 7.1969 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5979 loss: 1.5979 2022/06/28 07:01:59 - mmengine - INFO - Epoch(train) [47][2560/3757] lr: 1.000e-03 eta: 14:46:28 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 5.4906 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3892 loss: 1.3892 2022/06/28 07:02:04 - mmengine - INFO - Epoch(train) [47][2580/3757] lr: 1.000e-03 eta: 14:46:22 time: 0.207 data_time: 0.006 memory: 5148 grad_norm: 6.3487 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3216 loss: 1.3216 2022/06/28 07:02:10 - mmengine - INFO - Epoch(train) [47][2600/3757] lr: 1.000e-03 eta: 14:46:17 time: 0.620 data_time: 0.010 memory: 5148 grad_norm: 6.7169 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9820 loss: 1.9820 2022/06/28 07:02:15 - mmengine - INFO - Epoch(train) [47][2620/3757] lr: 1.000e-03 eta: 14:46:12 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 6.5789 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6496 loss: 1.6496 2022/06/28 07:02:20 - mmengine - INFO - Epoch(train) [47][2640/3757] lr: 1.000e-03 eta: 14:46:06 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.2040 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2451 loss: 1.2451 2022/06/28 07:02:26 - mmengine - INFO - Epoch(train) [47][2660/3757] lr: 1.000e-03 eta: 14:46:01 time: 0.299 data_time: 0.019 memory: 5148 grad_norm: 5.4331 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3023 loss: 1.3023 2022/06/28 07:02:31 - mmengine - INFO - Epoch(train) [47][2680/3757] lr: 1.000e-03 eta: 14:45:56 time: 0.213 data_time: 0.013 memory: 5148 grad_norm: 6.7960 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5231 loss: 1.5231 2022/06/28 07:02:36 - mmengine - INFO - Epoch(train) [47][2700/3757] lr: 1.000e-03 eta: 14:45:50 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.7873 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2614 loss: 1.2614 2022/06/28 07:02:41 - mmengine - INFO - Epoch(train) [47][2720/3757] lr: 1.000e-03 eta: 14:45:45 time: 0.219 data_time: 0.010 memory: 5148 grad_norm: 6.6476 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3720 loss: 1.3720 2022/06/28 07:02:47 - mmengine - INFO - Epoch(train) [47][2740/3757] lr: 1.000e-03 eta: 14:45:39 time: 0.214 data_time: 0.014 memory: 5148 grad_norm: 5.8323 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0430 loss: 1.0430 2022/06/28 07:02:52 - mmengine - INFO - Epoch(train) [47][2760/3757] lr: 1.000e-03 eta: 14:45:34 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.4204 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5378 loss: 1.5378 2022/06/28 07:02:57 - mmengine - INFO - Epoch(train) [47][2780/3757] lr: 1.000e-03 eta: 14:45:29 time: 0.626 data_time: 0.007 memory: 5148 grad_norm: 5.7860 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6977 loss: 1.6977 2022/06/28 07:03:03 - mmengine - INFO - Epoch(train) [47][2800/3757] lr: 1.000e-03 eta: 14:45:24 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 6.1623 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6607 loss: 1.6607 2022/06/28 07:03:08 - mmengine - INFO - Epoch(train) [47][2820/3757] lr: 1.000e-03 eta: 14:45:18 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 6.8037 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6776 loss: 1.6776 2022/06/28 07:03:14 - mmengine - INFO - Epoch(train) [47][2840/3757] lr: 1.000e-03 eta: 14:45:14 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.3541 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6824 loss: 1.6824 2022/06/28 07:03:19 - mmengine - INFO - Epoch(train) [47][2860/3757] lr: 1.000e-03 eta: 14:45:08 time: 0.212 data_time: 0.010 memory: 5148 grad_norm: 6.2756 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2345 loss: 1.2345 2022/06/28 07:03:24 - mmengine - INFO - Epoch(train) [47][2880/3757] lr: 1.000e-03 eta: 14:45:02 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.5242 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6623 loss: 1.6623 2022/06/28 07:03:30 - mmengine - INFO - Epoch(train) [47][2900/3757] lr: 1.000e-03 eta: 14:44:58 time: 0.305 data_time: 0.012 memory: 5148 grad_norm: 6.6161 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2463 loss: 1.2463 2022/06/28 07:03:35 - mmengine - INFO - Epoch(train) [47][2920/3757] lr: 1.000e-03 eta: 14:44:52 time: 0.331 data_time: 0.013 memory: 5148 grad_norm: 7.4276 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7681 loss: 1.7681 2022/06/28 07:03:40 - mmengine - INFO - Epoch(train) [47][2940/3757] lr: 1.000e-03 eta: 14:44:47 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 6.1556 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9131 loss: 1.9131 2022/06/28 07:03:46 - mmengine - INFO - Epoch(train) [47][2960/3757] lr: 1.000e-03 eta: 14:44:42 time: 0.219 data_time: 0.007 memory: 5148 grad_norm: 6.3553 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5597 loss: 1.5597 2022/06/28 07:03:51 - mmengine - INFO - Epoch(train) [47][2980/3757] lr: 1.000e-03 eta: 14:44:37 time: 0.221 data_time: 0.006 memory: 5148 grad_norm: 7.2631 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1540 loss: 1.1540 2022/06/28 07:03:56 - mmengine - INFO - Epoch(train) [47][3000/3757] lr: 1.000e-03 eta: 14:44:31 time: 0.212 data_time: 0.010 memory: 5148 grad_norm: 5.4629 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5874 loss: 1.5874 2022/06/28 07:04:01 - mmengine - INFO - Epoch(train) [47][3020/3757] lr: 1.000e-03 eta: 14:44:25 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 6.0819 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5977 loss: 1.5977 2022/06/28 07:04:07 - mmengine - INFO - Epoch(train) [47][3040/3757] lr: 1.000e-03 eta: 14:44:20 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 7.3713 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6311 loss: 1.6311 2022/06/28 07:04:12 - mmengine - INFO - Epoch(train) [47][3060/3757] lr: 1.000e-03 eta: 14:44:14 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 6.5640 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6844 loss: 1.6844 2022/06/28 07:04:17 - mmengine - INFO - Epoch(train) [47][3080/3757] lr: 1.000e-03 eta: 14:44:09 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 6.1918 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5721 loss: 1.5721 2022/06/28 07:04:23 - mmengine - INFO - Epoch(train) [47][3100/3757] lr: 1.000e-03 eta: 14:44:04 time: 0.215 data_time: 0.010 memory: 5148 grad_norm: 6.9131 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3820 loss: 1.3820 2022/06/28 07:04:28 - mmengine - INFO - Epoch(train) [47][3120/3757] lr: 1.000e-03 eta: 14:43:58 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 7.3368 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0539 loss: 1.0539 2022/06/28 07:04:34 - mmengine - INFO - Epoch(train) [47][3140/3757] lr: 1.000e-03 eta: 14:43:54 time: 0.210 data_time: 0.012 memory: 5148 grad_norm: 6.1876 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4492 loss: 1.4492 2022/06/28 07:04:39 - mmengine - INFO - Epoch(train) [47][3160/3757] lr: 1.000e-03 eta: 14:43:49 time: 0.218 data_time: 0.006 memory: 5148 grad_norm: 6.1035 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4692 loss: 1.4692 2022/06/28 07:04:43 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 07:04:44 - mmengine - INFO - Epoch(train) [47][3180/3757] lr: 1.000e-03 eta: 14:43:43 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 6.0195 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2967 loss: 1.2967 2022/06/28 07:04:51 - mmengine - INFO - Epoch(train) [47][3200/3757] lr: 1.000e-03 eta: 14:43:39 time: 0.676 data_time: 0.039 memory: 5148 grad_norm: 6.8203 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7376 loss: 1.7376 2022/06/28 07:04:55 - mmengine - INFO - Epoch(train) [47][3220/3757] lr: 1.000e-03 eta: 14:43:33 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 6.4884 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4284 loss: 1.4284 2022/06/28 07:04:59 - mmengine - INFO - Epoch(train) [47][3240/3757] lr: 1.000e-03 eta: 14:43:26 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 5.5408 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6317 loss: 1.6317 2022/06/28 07:05:05 - mmengine - INFO - Epoch(train) [47][3260/3757] lr: 1.000e-03 eta: 14:43:21 time: 0.211 data_time: 0.010 memory: 5148 grad_norm: 6.3847 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7126 loss: 1.7126 2022/06/28 07:05:11 - mmengine - INFO - Epoch(train) [47][3280/3757] lr: 1.000e-03 eta: 14:43:17 time: 0.222 data_time: 0.007 memory: 5148 grad_norm: 5.5179 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3599 loss: 1.3599 2022/06/28 07:05:15 - mmengine - INFO - Epoch(train) [47][3300/3757] lr: 1.000e-03 eta: 14:43:11 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 5.3647 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5147 loss: 1.5147 2022/06/28 07:05:21 - mmengine - INFO - Epoch(train) [47][3320/3757] lr: 1.000e-03 eta: 14:43:05 time: 0.191 data_time: 0.009 memory: 5148 grad_norm: 5.9206 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5630 loss: 1.5630 2022/06/28 07:05:27 - mmengine - INFO - Epoch(train) [47][3340/3757] lr: 1.000e-03 eta: 14:43:01 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 6.5793 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3773 loss: 1.3773 2022/06/28 07:05:32 - mmengine - INFO - Epoch(train) [47][3360/3757] lr: 1.000e-03 eta: 14:42:55 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 5.4736 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7990 loss: 1.7990 2022/06/28 07:05:37 - mmengine - INFO - Epoch(train) [47][3380/3757] lr: 1.000e-03 eta: 14:42:50 time: 0.211 data_time: 0.009 memory: 5148 grad_norm: 6.2308 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5924 loss: 1.5924 2022/06/28 07:05:43 - mmengine - INFO - Epoch(train) [47][3400/3757] lr: 1.000e-03 eta: 14:42:45 time: 0.195 data_time: 0.016 memory: 5148 grad_norm: 7.0536 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7231 loss: 1.7231 2022/06/28 07:05:47 - mmengine - INFO - Epoch(train) [47][3420/3757] lr: 1.000e-03 eta: 14:42:39 time: 0.193 data_time: 0.011 memory: 5148 grad_norm: 5.6920 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4346 loss: 1.4346 2022/06/28 07:05:53 - mmengine - INFO - Epoch(train) [47][3440/3757] lr: 1.000e-03 eta: 14:42:34 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 7.1994 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6154 loss: 1.6154 2022/06/28 07:05:59 - mmengine - INFO - Epoch(train) [47][3460/3757] lr: 1.000e-03 eta: 14:42:29 time: 0.207 data_time: 0.018 memory: 5148 grad_norm: 6.3793 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0024 loss: 1.0024 2022/06/28 07:06:03 - mmengine - INFO - Epoch(train) [47][3480/3757] lr: 1.000e-03 eta: 14:42:23 time: 0.193 data_time: 0.016 memory: 5148 grad_norm: 6.8378 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6602 loss: 1.6602 2022/06/28 07:06:09 - mmengine - INFO - Epoch(train) [47][3500/3757] lr: 1.000e-03 eta: 14:42:18 time: 0.775 data_time: 0.007 memory: 5148 grad_norm: 7.0627 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3011 loss: 1.3011 2022/06/28 07:06:14 - mmengine - INFO - Epoch(train) [47][3520/3757] lr: 1.000e-03 eta: 14:42:12 time: 0.206 data_time: 0.016 memory: 5148 grad_norm: 6.3741 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3787 loss: 1.3787 2022/06/28 07:06:20 - mmengine - INFO - Epoch(train) [47][3540/3757] lr: 1.000e-03 eta: 14:42:07 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 5.7693 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3770 loss: 1.3770 2022/06/28 07:06:25 - mmengine - INFO - Epoch(train) [47][3560/3757] lr: 1.000e-03 eta: 14:42:02 time: 0.220 data_time: 0.008 memory: 5148 grad_norm: 7.0271 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1006 loss: 1.1006 2022/06/28 07:06:31 - mmengine - INFO - Epoch(train) [47][3580/3757] lr: 1.000e-03 eta: 14:41:57 time: 0.224 data_time: 0.031 memory: 5148 grad_norm: 5.9229 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5621 loss: 1.5621 2022/06/28 07:06:36 - mmengine - INFO - Epoch(train) [47][3600/3757] lr: 1.000e-03 eta: 14:41:52 time: 0.198 data_time: 0.016 memory: 5148 grad_norm: 5.7245 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3667 loss: 1.3667 2022/06/28 07:06:41 - mmengine - INFO - Epoch(train) [47][3620/3757] lr: 1.000e-03 eta: 14:41:46 time: 0.223 data_time: 0.007 memory: 5148 grad_norm: 6.9638 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0982 loss: 1.0982 2022/06/28 07:06:46 - mmengine - INFO - Epoch(train) [47][3640/3757] lr: 1.000e-03 eta: 14:41:41 time: 0.203 data_time: 0.017 memory: 5148 grad_norm: 7.2636 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3506 loss: 1.3506 2022/06/28 07:06:52 - mmengine - INFO - Epoch(train) [47][3660/3757] lr: 1.000e-03 eta: 14:41:36 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 6.8812 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7742 loss: 1.7742 2022/06/28 07:06:57 - mmengine - INFO - Epoch(train) [47][3680/3757] lr: 1.000e-03 eta: 14:41:31 time: 0.221 data_time: 0.010 memory: 5148 grad_norm: 6.5956 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3082 loss: 1.3082 2022/06/28 07:07:03 - mmengine - INFO - Epoch(train) [47][3700/3757] lr: 1.000e-03 eta: 14:41:26 time: 0.210 data_time: 0.010 memory: 5148 grad_norm: 6.6642 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3435 loss: 1.3435 2022/06/28 07:07:08 - mmengine - INFO - Epoch(train) [47][3720/3757] lr: 1.000e-03 eta: 14:41:20 time: 0.199 data_time: 0.013 memory: 5148 grad_norm: 6.7761 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0060 loss: 2.0060 2022/06/28 07:07:13 - mmengine - INFO - Epoch(train) [47][3740/3757] lr: 1.000e-03 eta: 14:41:15 time: 0.233 data_time: 0.006 memory: 5148 grad_norm: 6.4490 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6358 loss: 1.6358 2022/06/28 07:07:17 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 07:07:23 - mmengine - INFO - Epoch(val) [47][20/310] eta: 0:01:12 time: 0.190 data_time: 0.117 memory: 5148 2022/06/28 07:07:28 - mmengine - INFO - Epoch(val) [47][40/310] eta: 0:00:58 time: 0.080 data_time: 0.009 memory: 1367 2022/06/28 07:07:34 - mmengine - INFO - Epoch(val) [47][60/310] eta: 0:00:56 time: 0.081 data_time: 0.008 memory: 1367 2022/06/28 07:07:39 - mmengine - INFO - Epoch(val) [47][80/310] eta: 0:00:59 time: 0.221 data_time: 0.149 memory: 1367 2022/06/28 07:07:44 - mmengine - INFO - Epoch(val) [47][100/310] eta: 0:00:49 time: 0.079 data_time: 0.005 memory: 1367 2022/06/28 07:07:49 - mmengine - INFO - Epoch(val) [47][120/310] eta: 0:00:46 time: 0.177 data_time: 0.101 memory: 1367 2022/06/28 07:07:55 - mmengine - INFO - Epoch(val) [47][140/310] eta: 0:00:40 time: 0.145 data_time: 0.069 memory: 1367 2022/06/28 07:08:00 - mmengine - INFO - Epoch(val) [47][160/310] eta: 0:00:42 time: 0.684 data_time: 0.607 memory: 1367 2022/06/28 07:08:06 - mmengine - INFO - Epoch(val) [47][180/310] eta: 0:00:38 time: 0.412 data_time: 0.341 memory: 1367 2022/06/28 07:08:11 - mmengine - INFO - Epoch(val) [47][200/310] eta: 0:00:26 time: 0.091 data_time: 0.014 memory: 1367 2022/06/28 07:08:17 - mmengine - INFO - Epoch(val) [47][220/310] eta: 0:00:28 time: 0.092 data_time: 0.005 memory: 1367 2022/06/28 07:08:21 - mmengine - INFO - Epoch(val) [47][240/310] eta: 0:00:15 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 07:08:27 - mmengine - INFO - Epoch(val) [47][260/310] eta: 0:00:15 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 07:08:32 - mmengine - INFO - Epoch(val) [47][280/310] eta: 0:00:06 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 07:08:37 - mmengine - INFO - Epoch(val) [47][300/310] eta: 0:00:02 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 07:08:41 - mmengine - INFO - Epoch(val) [47][310/310] acc/top1: 0.6390 acc/top5: 0.8503 acc/mean1: 0.6389 2022/06/28 07:08:49 - mmengine - INFO - Epoch(train) [48][20/3757] lr: 1.000e-03 eta: 14:41:05 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 5.5936 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4815 loss: 1.4815 2022/06/28 07:08:56 - mmengine - INFO - Epoch(train) [48][40/3757] lr: 1.000e-03 eta: 14:41:01 time: 0.694 data_time: 0.008 memory: 5148 grad_norm: 5.4047 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3255 loss: 1.3255 2022/06/28 07:09:00 - mmengine - INFO - Epoch(train) [48][60/3757] lr: 1.000e-03 eta: 14:40:55 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.8963 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2855 loss: 1.2855 2022/06/28 07:09:06 - mmengine - INFO - Epoch(train) [48][80/3757] lr: 1.000e-03 eta: 14:40:50 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 6.5187 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3996 loss: 1.3996 2022/06/28 07:09:12 - mmengine - INFO - Epoch(train) [48][100/3757] lr: 1.000e-03 eta: 14:40:45 time: 0.433 data_time: 0.007 memory: 5148 grad_norm: 6.5510 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8271 loss: 1.8271 2022/06/28 07:09:16 - mmengine - INFO - Epoch(train) [48][120/3757] lr: 1.000e-03 eta: 14:40:39 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.9469 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5336 loss: 1.5336 2022/06/28 07:09:22 - mmengine - INFO - Epoch(train) [48][140/3757] lr: 1.000e-03 eta: 14:40:34 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 5.9173 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3048 loss: 1.3048 2022/06/28 07:09:28 - mmengine - INFO - Epoch(train) [48][160/3757] lr: 1.000e-03 eta: 14:40:29 time: 0.337 data_time: 0.006 memory: 5148 grad_norm: 6.2422 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3250 loss: 1.3250 2022/06/28 07:09:33 - mmengine - INFO - Epoch(train) [48][180/3757] lr: 1.000e-03 eta: 14:40:24 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 5.1323 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5393 loss: 1.5393 2022/06/28 07:09:38 - mmengine - INFO - Epoch(train) [48][200/3757] lr: 1.000e-03 eta: 14:40:18 time: 0.193 data_time: 0.009 memory: 5148 grad_norm: 5.9822 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1898 loss: 1.1898 2022/06/28 07:09:44 - mmengine - INFO - Epoch(train) [48][220/3757] lr: 1.000e-03 eta: 14:40:14 time: 0.255 data_time: 0.012 memory: 5148 grad_norm: 6.5976 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4255 loss: 1.4255 2022/06/28 07:09:49 - mmengine - INFO - Epoch(train) [48][240/3757] lr: 1.000e-03 eta: 14:40:08 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.7796 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7749 loss: 1.7749 2022/06/28 07:09:54 - mmengine - INFO - Epoch(train) [48][260/3757] lr: 1.000e-03 eta: 14:40:02 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.9617 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3963 loss: 1.3963 2022/06/28 07:10:00 - mmengine - INFO - Epoch(train) [48][280/3757] lr: 1.000e-03 eta: 14:39:58 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 5.8810 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7472 loss: 1.7472 2022/06/28 07:10:05 - mmengine - INFO - Epoch(train) [48][300/3757] lr: 1.000e-03 eta: 14:39:52 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 6.8809 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5324 loss: 1.5324 2022/06/28 07:10:11 - mmengine - INFO - Epoch(train) [48][320/3757] lr: 1.000e-03 eta: 14:39:48 time: 0.653 data_time: 0.007 memory: 5148 grad_norm: 5.7982 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2613 loss: 1.2613 2022/06/28 07:10:16 - mmengine - INFO - Epoch(train) [48][340/3757] lr: 1.000e-03 eta: 14:39:42 time: 0.202 data_time: 0.013 memory: 5148 grad_norm: 5.0586 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9257 loss: 1.9257 2022/06/28 07:10:21 - mmengine - INFO - Epoch(train) [48][360/3757] lr: 1.000e-03 eta: 14:39:36 time: 0.197 data_time: 0.012 memory: 5148 grad_norm: 6.1522 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0899 loss: 1.0899 2022/06/28 07:10:26 - mmengine - INFO - Epoch(train) [48][380/3757] lr: 1.000e-03 eta: 14:39:31 time: 0.210 data_time: 0.014 memory: 5148 grad_norm: 6.2448 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3712 loss: 1.3712 2022/06/28 07:10:32 - mmengine - INFO - Epoch(train) [48][400/3757] lr: 1.000e-03 eta: 14:39:27 time: 0.251 data_time: 0.012 memory: 5148 grad_norm: 6.0480 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2050 loss: 1.2050 2022/06/28 07:10:37 - mmengine - INFO - Epoch(train) [48][420/3757] lr: 1.000e-03 eta: 14:39:21 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 7.3586 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2779 loss: 1.2779 2022/06/28 07:10:37 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 07:10:42 - mmengine - INFO - Epoch(train) [48][440/3757] lr: 1.000e-03 eta: 14:39:15 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 6.3703 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6311 loss: 1.6311 2022/06/28 07:10:48 - mmengine - INFO - Epoch(train) [48][460/3757] lr: 1.000e-03 eta: 14:39:10 time: 0.216 data_time: 0.010 memory: 5148 grad_norm: 6.4365 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3185 loss: 1.3185 2022/06/28 07:10:52 - mmengine - INFO - Epoch(train) [48][480/3757] lr: 1.000e-03 eta: 14:39:04 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 6.7867 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7113 loss: 1.7113 2022/06/28 07:10:58 - mmengine - INFO - Epoch(train) [48][500/3757] lr: 1.000e-03 eta: 14:38:59 time: 0.198 data_time: 0.018 memory: 5148 grad_norm: 5.8888 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3599 loss: 1.3599 2022/06/28 07:11:04 - mmengine - INFO - Epoch(train) [48][520/3757] lr: 1.000e-03 eta: 14:38:54 time: 0.212 data_time: 0.008 memory: 5148 grad_norm: 6.4495 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6894 loss: 1.6894 2022/06/28 07:11:08 - mmengine - INFO - Epoch(train) [48][540/3757] lr: 1.000e-03 eta: 14:38:48 time: 0.205 data_time: 0.006 memory: 5148 grad_norm: 6.1316 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2377 loss: 1.2377 2022/06/28 07:11:14 - mmengine - INFO - Epoch(train) [48][560/3757] lr: 1.000e-03 eta: 14:38:43 time: 0.194 data_time: 0.006 memory: 5148 grad_norm: 5.5232 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3573 loss: 1.3573 2022/06/28 07:11:20 - mmengine - INFO - Epoch(train) [48][580/3757] lr: 1.000e-03 eta: 14:38:38 time: 0.212 data_time: 0.008 memory: 5148 grad_norm: 5.2336 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6753 loss: 1.6753 2022/06/28 07:11:25 - mmengine - INFO - Epoch(train) [48][600/3757] lr: 1.000e-03 eta: 14:38:33 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.0366 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5960 loss: 1.5960 2022/06/28 07:11:30 - mmengine - INFO - Epoch(train) [48][620/3757] lr: 1.000e-03 eta: 14:38:27 time: 0.199 data_time: 0.012 memory: 5148 grad_norm: 6.6930 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5655 loss: 1.5655 2022/06/28 07:11:36 - mmengine - INFO - Epoch(train) [48][640/3757] lr: 1.000e-03 eta: 14:38:22 time: 0.243 data_time: 0.006 memory: 5148 grad_norm: 5.7211 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3109 loss: 1.3109 2022/06/28 07:11:40 - mmengine - INFO - Epoch(train) [48][660/3757] lr: 1.000e-03 eta: 14:38:16 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 6.9279 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7803 loss: 1.7803 2022/06/28 07:11:46 - mmengine - INFO - Epoch(train) [48][680/3757] lr: 1.000e-03 eta: 14:38:12 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 7.2148 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3195 loss: 1.3195 2022/06/28 07:11:52 - mmengine - INFO - Epoch(train) [48][700/3757] lr: 1.000e-03 eta: 14:38:07 time: 0.626 data_time: 0.007 memory: 5148 grad_norm: 4.7856 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3787 loss: 1.3787 2022/06/28 07:11:57 - mmengine - INFO - Epoch(train) [48][720/3757] lr: 1.000e-03 eta: 14:38:01 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.0551 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5754 loss: 1.5754 2022/06/28 07:12:03 - mmengine - INFO - Epoch(train) [48][740/3757] lr: 1.000e-03 eta: 14:37:56 time: 0.239 data_time: 0.014 memory: 5148 grad_norm: 6.9403 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6030 loss: 1.6030 2022/06/28 07:12:08 - mmengine - INFO - Epoch(train) [48][760/3757] lr: 1.000e-03 eta: 14:37:51 time: 1.156 data_time: 0.007 memory: 5148 grad_norm: 5.9518 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9277 loss: 1.9277 2022/06/28 07:12:13 - mmengine - INFO - Epoch(train) [48][780/3757] lr: 1.000e-03 eta: 14:37:45 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 5.7547 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6232 loss: 1.6232 2022/06/28 07:12:19 - mmengine - INFO - Epoch(train) [48][800/3757] lr: 1.000e-03 eta: 14:37:40 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 6.6769 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3064 loss: 1.3064 2022/06/28 07:12:24 - mmengine - INFO - Epoch(train) [48][820/3757] lr: 1.000e-03 eta: 14:37:35 time: 1.023 data_time: 0.007 memory: 5148 grad_norm: 6.4793 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8260 loss: 1.8260 2022/06/28 07:12:29 - mmengine - INFO - Epoch(train) [48][840/3757] lr: 1.000e-03 eta: 14:37:29 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 7.0204 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5520 loss: 1.5520 2022/06/28 07:12:34 - mmengine - INFO - Epoch(train) [48][860/3757] lr: 1.000e-03 eta: 14:37:24 time: 0.196 data_time: 0.013 memory: 5148 grad_norm: 7.4500 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6574 loss: 1.6574 2022/06/28 07:12:40 - mmengine - INFO - Epoch(train) [48][880/3757] lr: 1.000e-03 eta: 14:37:19 time: 0.944 data_time: 0.011 memory: 5148 grad_norm: 6.9083 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2357 loss: 1.2357 2022/06/28 07:12:45 - mmengine - INFO - Epoch(train) [48][900/3757] lr: 1.000e-03 eta: 14:37:13 time: 0.205 data_time: 0.013 memory: 5148 grad_norm: 7.2608 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6881 loss: 1.6881 2022/06/28 07:12:50 - mmengine - INFO - Epoch(train) [48][920/3757] lr: 1.000e-03 eta: 14:37:08 time: 0.201 data_time: 0.015 memory: 5148 grad_norm: 7.0195 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3831 loss: 1.3831 2022/06/28 07:12:56 - mmengine - INFO - Epoch(train) [48][940/3757] lr: 1.000e-03 eta: 14:37:03 time: 0.813 data_time: 0.007 memory: 5148 grad_norm: 7.0031 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2793 loss: 1.2793 2022/06/28 07:13:01 - mmengine - INFO - Epoch(train) [48][960/3757] lr: 1.000e-03 eta: 14:36:57 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 7.2264 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3271 loss: 1.3271 2022/06/28 07:13:07 - mmengine - INFO - Epoch(train) [48][980/3757] lr: 1.000e-03 eta: 14:36:53 time: 0.208 data_time: 0.015 memory: 5148 grad_norm: 6.4437 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5147 loss: 1.5147 2022/06/28 07:13:12 - mmengine - INFO - Epoch(train) [48][1000/3757] lr: 1.000e-03 eta: 14:36:47 time: 0.235 data_time: 0.010 memory: 5148 grad_norm: 6.7154 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3747 loss: 1.3747 2022/06/28 07:13:17 - mmengine - INFO - Epoch(train) [48][1020/3757] lr: 1.000e-03 eta: 14:36:42 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 6.4902 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0305 loss: 1.0305 2022/06/28 07:13:23 - mmengine - INFO - Epoch(train) [48][1040/3757] lr: 1.000e-03 eta: 14:36:37 time: 0.191 data_time: 0.014 memory: 5148 grad_norm: 7.3601 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7501 loss: 1.7501 2022/06/28 07:13:28 - mmengine - INFO - Epoch(train) [48][1060/3757] lr: 1.000e-03 eta: 14:36:32 time: 0.601 data_time: 0.012 memory: 5148 grad_norm: 6.0045 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3283 loss: 1.3283 2022/06/28 07:13:33 - mmengine - INFO - Epoch(train) [48][1080/3757] lr: 1.000e-03 eta: 14:36:26 time: 0.199 data_time: 0.017 memory: 5148 grad_norm: 6.7059 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8178 loss: 1.8178 2022/06/28 07:13:39 - mmengine - INFO - Epoch(train) [48][1100/3757] lr: 1.000e-03 eta: 14:36:21 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 7.2850 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2630 loss: 1.2630 2022/06/28 07:13:44 - mmengine - INFO - Epoch(train) [48][1120/3757] lr: 1.000e-03 eta: 14:36:16 time: 0.231 data_time: 0.017 memory: 5148 grad_norm: 7.0853 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0863 loss: 1.0863 2022/06/28 07:13:49 - mmengine - INFO - Epoch(train) [48][1140/3757] lr: 1.000e-03 eta: 14:36:10 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.4015 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4890 loss: 1.4890 2022/06/28 07:13:54 - mmengine - INFO - Epoch(train) [48][1160/3757] lr: 1.000e-03 eta: 14:36:05 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 6.3111 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9381 loss: 1.9381 2022/06/28 07:14:00 - mmengine - INFO - Epoch(train) [48][1180/3757] lr: 1.000e-03 eta: 14:36:00 time: 0.229 data_time: 0.010 memory: 5148 grad_norm: 6.0948 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7993 loss: 1.7993 2022/06/28 07:14:05 - mmengine - INFO - Epoch(train) [48][1200/3757] lr: 1.000e-03 eta: 14:35:54 time: 0.202 data_time: 0.013 memory: 5148 grad_norm: 6.4390 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6338 loss: 1.6338 2022/06/28 07:14:11 - mmengine - INFO - Epoch(train) [48][1220/3757] lr: 1.000e-03 eta: 14:35:49 time: 0.204 data_time: 0.012 memory: 5148 grad_norm: 6.5837 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1487 loss: 1.1487 2022/06/28 07:14:16 - mmengine - INFO - Epoch(train) [48][1240/3757] lr: 1.000e-03 eta: 14:35:44 time: 0.217 data_time: 0.010 memory: 5148 grad_norm: 6.0068 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3367 loss: 1.3367 2022/06/28 07:14:21 - mmengine - INFO - Epoch(train) [48][1260/3757] lr: 1.000e-03 eta: 14:35:38 time: 0.235 data_time: 0.012 memory: 5148 grad_norm: 5.7866 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6262 loss: 1.6262 2022/06/28 07:14:26 - mmengine - INFO - Epoch(train) [48][1280/3757] lr: 1.000e-03 eta: 14:35:33 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.7331 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4638 loss: 1.4638 2022/06/28 07:14:32 - mmengine - INFO - Epoch(train) [48][1300/3757] lr: 1.000e-03 eta: 14:35:28 time: 0.238 data_time: 0.011 memory: 5148 grad_norm: 6.5701 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4254 loss: 1.4254 2022/06/28 07:14:37 - mmengine - INFO - Epoch(train) [48][1320/3757] lr: 1.000e-03 eta: 14:35:22 time: 0.201 data_time: 0.014 memory: 5148 grad_norm: 5.4441 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5603 loss: 1.5603 2022/06/28 07:14:42 - mmengine - INFO - Epoch(train) [48][1340/3757] lr: 1.000e-03 eta: 14:35:17 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.7022 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3335 loss: 1.3335 2022/06/28 07:14:48 - mmengine - INFO - Epoch(train) [48][1360/3757] lr: 1.000e-03 eta: 14:35:12 time: 0.227 data_time: 0.013 memory: 5148 grad_norm: 6.1417 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0840 loss: 1.0840 2022/06/28 07:14:54 - mmengine - INFO - Epoch(train) [48][1380/3757] lr: 1.000e-03 eta: 14:35:07 time: 0.196 data_time: 0.013 memory: 5148 grad_norm: 6.7911 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5977 loss: 1.5977 2022/06/28 07:14:58 - mmengine - INFO - Epoch(train) [48][1400/3757] lr: 1.000e-03 eta: 14:35:00 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.2399 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3178 loss: 1.3178 2022/06/28 07:15:04 - mmengine - INFO - Epoch(train) [48][1420/3757] lr: 1.000e-03 eta: 14:34:56 time: 0.212 data_time: 0.015 memory: 5148 grad_norm: 7.0704 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4634 loss: 1.4634 2022/06/28 07:15:04 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 07:15:09 - mmengine - INFO - Epoch(train) [48][1440/3757] lr: 1.000e-03 eta: 14:34:50 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.9722 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4874 loss: 1.4874 2022/06/28 07:15:14 - mmengine - INFO - Epoch(train) [48][1460/3757] lr: 1.000e-03 eta: 14:34:45 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 7.1750 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7971 loss: 1.7971 2022/06/28 07:15:20 - mmengine - INFO - Epoch(train) [48][1480/3757] lr: 1.000e-03 eta: 14:34:40 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 6.5081 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.1722 loss: 1.1722 2022/06/28 07:15:25 - mmengine - INFO - Epoch(train) [48][1500/3757] lr: 1.000e-03 eta: 14:34:34 time: 0.200 data_time: 0.009 memory: 5148 grad_norm: 6.2397 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3515 loss: 1.3515 2022/06/28 07:15:30 - mmengine - INFO - Epoch(train) [48][1520/3757] lr: 1.000e-03 eta: 14:34:29 time: 0.214 data_time: 0.011 memory: 5148 grad_norm: 5.7666 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3279 loss: 1.3279 2022/06/28 07:15:36 - mmengine - INFO - Epoch(train) [48][1540/3757] lr: 1.000e-03 eta: 14:34:24 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 7.4388 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4501 loss: 1.4501 2022/06/28 07:15:41 - mmengine - INFO - Epoch(train) [48][1560/3757] lr: 1.000e-03 eta: 14:34:18 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.3058 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4611 loss: 1.4611 2022/06/28 07:15:46 - mmengine - INFO - Epoch(train) [48][1580/3757] lr: 1.000e-03 eta: 14:34:13 time: 0.201 data_time: 0.021 memory: 5148 grad_norm: 5.9799 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.6168 loss: 1.6168 2022/06/28 07:15:52 - mmengine - INFO - Epoch(train) [48][1600/3757] lr: 1.000e-03 eta: 14:34:08 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 5.3559 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1975 loss: 1.1975 2022/06/28 07:15:57 - mmengine - INFO - Epoch(train) [48][1620/3757] lr: 1.000e-03 eta: 14:34:02 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 6.2139 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2745 loss: 1.2745 2022/06/28 07:16:03 - mmengine - INFO - Epoch(train) [48][1640/3757] lr: 1.000e-03 eta: 14:33:58 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.9560 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5087 loss: 1.5087 2022/06/28 07:16:08 - mmengine - INFO - Epoch(train) [48][1660/3757] lr: 1.000e-03 eta: 14:33:52 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 6.8938 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8564 loss: 1.8564 2022/06/28 07:16:13 - mmengine - INFO - Epoch(train) [48][1680/3757] lr: 1.000e-03 eta: 14:33:46 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 7.4342 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3318 loss: 1.3318 2022/06/28 07:16:18 - mmengine - INFO - Epoch(train) [48][1700/3757] lr: 1.000e-03 eta: 14:33:41 time: 0.193 data_time: 0.008 memory: 5148 grad_norm: 6.1394 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4438 loss: 1.4438 2022/06/28 07:16:24 - mmengine - INFO - Epoch(train) [48][1720/3757] lr: 1.000e-03 eta: 14:33:36 time: 0.227 data_time: 0.019 memory: 5148 grad_norm: 5.6254 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5633 loss: 1.5633 2022/06/28 07:16:29 - mmengine - INFO - Epoch(train) [48][1740/3757] lr: 1.000e-03 eta: 14:33:31 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.5809 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7836 loss: 1.7836 2022/06/28 07:16:34 - mmengine - INFO - Epoch(train) [48][1760/3757] lr: 1.000e-03 eta: 14:33:25 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 5.0722 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4557 loss: 1.4557 2022/06/28 07:16:40 - mmengine - INFO - Epoch(train) [48][1780/3757] lr: 1.000e-03 eta: 14:33:21 time: 0.202 data_time: 0.025 memory: 5148 grad_norm: 6.7207 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4146 loss: 1.4146 2022/06/28 07:16:45 - mmengine - INFO - Epoch(train) [48][1800/3757] lr: 1.000e-03 eta: 14:33:15 time: 0.203 data_time: 0.013 memory: 5148 grad_norm: 5.2575 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7152 loss: 1.7152 2022/06/28 07:16:51 - mmengine - INFO - Epoch(train) [48][1820/3757] lr: 1.000e-03 eta: 14:33:10 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.8562 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5755 loss: 1.5755 2022/06/28 07:16:56 - mmengine - INFO - Epoch(train) [48][1840/3757] lr: 1.000e-03 eta: 14:33:04 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 6.8342 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5138 loss: 1.5138 2022/06/28 07:17:01 - mmengine - INFO - Epoch(train) [48][1860/3757] lr: 1.000e-03 eta: 14:32:59 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 6.5630 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6327 loss: 1.6327 2022/06/28 07:17:06 - mmengine - INFO - Epoch(train) [48][1880/3757] lr: 1.000e-03 eta: 14:32:53 time: 0.198 data_time: 0.013 memory: 5148 grad_norm: 5.9525 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5193 loss: 1.5193 2022/06/28 07:17:12 - mmengine - INFO - Epoch(train) [48][1900/3757] lr: 1.000e-03 eta: 14:32:48 time: 0.447 data_time: 0.029 memory: 5148 grad_norm: 7.4194 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4527 loss: 1.4527 2022/06/28 07:17:16 - mmengine - INFO - Epoch(train) [48][1920/3757] lr: 1.000e-03 eta: 14:32:42 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 5.7548 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2118 loss: 1.2118 2022/06/28 07:17:22 - mmengine - INFO - Epoch(train) [48][1940/3757] lr: 1.000e-03 eta: 14:32:37 time: 0.208 data_time: 0.015 memory: 5148 grad_norm: 6.5203 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5531 loss: 1.5531 2022/06/28 07:17:27 - mmengine - INFO - Epoch(train) [48][1960/3757] lr: 1.000e-03 eta: 14:32:32 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 5.9225 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3810 loss: 1.3810 2022/06/28 07:17:32 - mmengine - INFO - Epoch(train) [48][1980/3757] lr: 1.000e-03 eta: 14:32:26 time: 0.202 data_time: 0.016 memory: 5148 grad_norm: 5.6255 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3119 loss: 1.3119 2022/06/28 07:17:38 - mmengine - INFO - Epoch(train) [48][2000/3757] lr: 1.000e-03 eta: 14:32:21 time: 0.190 data_time: 0.010 memory: 5148 grad_norm: 6.4038 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5679 loss: 1.5679 2022/06/28 07:17:43 - mmengine - INFO - Epoch(train) [48][2020/3757] lr: 1.000e-03 eta: 14:32:16 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 6.4104 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3126 loss: 1.3126 2022/06/28 07:17:48 - mmengine - INFO - Epoch(train) [48][2040/3757] lr: 1.000e-03 eta: 14:32:10 time: 0.206 data_time: 0.013 memory: 5148 grad_norm: 6.2611 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6827 loss: 1.6827 2022/06/28 07:17:54 - mmengine - INFO - Epoch(train) [48][2060/3757] lr: 1.000e-03 eta: 14:32:05 time: 0.209 data_time: 0.011 memory: 5148 grad_norm: 6.4124 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7763 loss: 1.7763 2022/06/28 07:17:59 - mmengine - INFO - Epoch(train) [48][2080/3757] lr: 1.000e-03 eta: 14:32:00 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.6650 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2954 loss: 1.2954 2022/06/28 07:18:04 - mmengine - INFO - Epoch(train) [48][2100/3757] lr: 1.000e-03 eta: 14:31:55 time: 0.207 data_time: 0.015 memory: 5148 grad_norm: 6.8644 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6227 loss: 1.6227 2022/06/28 07:18:10 - mmengine - INFO - Epoch(train) [48][2120/3757] lr: 1.000e-03 eta: 14:31:50 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 5.9810 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6716 loss: 1.6716 2022/06/28 07:18:15 - mmengine - INFO - Epoch(train) [48][2140/3757] lr: 1.000e-03 eta: 14:31:44 time: 0.207 data_time: 0.011 memory: 5148 grad_norm: 6.2468 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9049 loss: 1.9049 2022/06/28 07:18:20 - mmengine - INFO - Epoch(train) [48][2160/3757] lr: 1.000e-03 eta: 14:31:38 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 7.0191 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8123 loss: 1.8123 2022/06/28 07:18:26 - mmengine - INFO - Epoch(train) [48][2180/3757] lr: 1.000e-03 eta: 14:31:34 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 6.2988 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.3926 loss: 1.3926 2022/06/28 07:18:31 - mmengine - INFO - Epoch(train) [48][2200/3757] lr: 1.000e-03 eta: 14:31:28 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 7.0540 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5926 loss: 1.5926 2022/06/28 07:18:36 - mmengine - INFO - Epoch(train) [48][2220/3757] lr: 1.000e-03 eta: 14:31:23 time: 0.337 data_time: 0.019 memory: 5148 grad_norm: 7.1046 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2768 loss: 1.2768 2022/06/28 07:18:41 - mmengine - INFO - Epoch(train) [48][2240/3757] lr: 1.000e-03 eta: 14:31:17 time: 0.209 data_time: 0.009 memory: 5148 grad_norm: 5.4873 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6891 loss: 1.6891 2022/06/28 07:18:47 - mmengine - INFO - Epoch(train) [48][2260/3757] lr: 1.000e-03 eta: 14:31:12 time: 0.208 data_time: 0.012 memory: 5148 grad_norm: 6.3112 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.6324 loss: 1.6324 2022/06/28 07:18:52 - mmengine - INFO - Epoch(train) [48][2280/3757] lr: 1.000e-03 eta: 14:31:07 time: 0.214 data_time: 0.018 memory: 5148 grad_norm: 6.3067 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4418 loss: 1.4418 2022/06/28 07:18:58 - mmengine - INFO - Epoch(train) [48][2300/3757] lr: 1.000e-03 eta: 14:31:02 time: 0.202 data_time: 0.017 memory: 5148 grad_norm: 6.9326 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5759 loss: 1.5759 2022/06/28 07:19:03 - mmengine - INFO - Epoch(train) [48][2320/3757] lr: 1.000e-03 eta: 14:30:57 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 6.5831 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4896 loss: 1.4896 2022/06/28 07:19:08 - mmengine - INFO - Epoch(train) [48][2340/3757] lr: 1.000e-03 eta: 14:30:51 time: 0.206 data_time: 0.030 memory: 5148 grad_norm: 5.9882 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7807 loss: 1.7807 2022/06/28 07:19:14 - mmengine - INFO - Epoch(train) [48][2360/3757] lr: 1.000e-03 eta: 14:30:46 time: 0.196 data_time: 0.018 memory: 5148 grad_norm: 5.4134 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4155 loss: 1.4155 2022/06/28 07:19:19 - mmengine - INFO - Epoch(train) [48][2380/3757] lr: 1.000e-03 eta: 14:30:41 time: 0.224 data_time: 0.007 memory: 5148 grad_norm: 7.4470 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2818 loss: 1.2818 2022/06/28 07:19:24 - mmengine - INFO - Epoch(train) [48][2400/3757] lr: 1.000e-03 eta: 14:30:35 time: 0.206 data_time: 0.021 memory: 5148 grad_norm: 6.6562 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1833 loss: 1.1833 2022/06/28 07:19:30 - mmengine - INFO - Epoch(train) [48][2420/3757] lr: 1.000e-03 eta: 14:30:30 time: 0.206 data_time: 0.025 memory: 5148 grad_norm: 6.5829 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7391 loss: 1.7391 2022/06/28 07:19:30 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 07:19:35 - mmengine - INFO - Epoch(train) [48][2440/3757] lr: 1.000e-03 eta: 14:30:25 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 7.1576 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4146 loss: 1.4146 2022/06/28 07:19:40 - mmengine - INFO - Epoch(train) [48][2460/3757] lr: 1.000e-03 eta: 14:30:19 time: 0.210 data_time: 0.028 memory: 5148 grad_norm: 6.4159 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4483 loss: 1.4483 2022/06/28 07:19:46 - mmengine - INFO - Epoch(train) [48][2480/3757] lr: 1.000e-03 eta: 14:30:14 time: 0.196 data_time: 0.022 memory: 5148 grad_norm: 6.7450 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6118 loss: 1.6118 2022/06/28 07:19:51 - mmengine - INFO - Epoch(train) [48][2500/3757] lr: 1.000e-03 eta: 14:30:09 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.8079 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7035 loss: 1.7035 2022/06/28 07:19:56 - mmengine - INFO - Epoch(train) [48][2520/3757] lr: 1.000e-03 eta: 14:30:03 time: 0.205 data_time: 0.013 memory: 5148 grad_norm: 6.6725 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5805 loss: 1.5805 2022/06/28 07:20:02 - mmengine - INFO - Epoch(train) [48][2540/3757] lr: 1.000e-03 eta: 14:29:58 time: 0.209 data_time: 0.029 memory: 5148 grad_norm: 5.6025 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6875 loss: 1.6875 2022/06/28 07:20:08 - mmengine - INFO - Epoch(train) [48][2560/3757] lr: 1.000e-03 eta: 14:29:54 time: 0.211 data_time: 0.009 memory: 5148 grad_norm: 6.4494 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3698 loss: 1.3698 2022/06/28 07:20:13 - mmengine - INFO - Epoch(train) [48][2580/3757] lr: 1.000e-03 eta: 14:29:48 time: 0.219 data_time: 0.007 memory: 5148 grad_norm: 6.5766 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7934 loss: 1.7934 2022/06/28 07:20:18 - mmengine - INFO - Epoch(train) [48][2600/3757] lr: 1.000e-03 eta: 14:29:43 time: 0.208 data_time: 0.009 memory: 5148 grad_norm: 6.3442 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2602 loss: 1.2602 2022/06/28 07:20:24 - mmengine - INFO - Epoch(train) [48][2620/3757] lr: 1.000e-03 eta: 14:29:38 time: 0.207 data_time: 0.006 memory: 5148 grad_norm: 6.1344 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9160 loss: 1.9160 2022/06/28 07:20:29 - mmengine - INFO - Epoch(train) [48][2640/3757] lr: 1.000e-03 eta: 14:29:32 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 6.4082 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2313 loss: 1.2313 2022/06/28 07:20:34 - mmengine - INFO - Epoch(train) [48][2660/3757] lr: 1.000e-03 eta: 14:29:27 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 6.4620 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4621 loss: 1.4621 2022/06/28 07:20:40 - mmengine - INFO - Epoch(train) [48][2680/3757] lr: 1.000e-03 eta: 14:29:22 time: 0.209 data_time: 0.006 memory: 5148 grad_norm: 6.4368 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8699 loss: 1.8699 2022/06/28 07:20:45 - mmengine - INFO - Epoch(train) [48][2700/3757] lr: 1.000e-03 eta: 14:29:16 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 7.1229 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8387 loss: 1.8387 2022/06/28 07:20:50 - mmengine - INFO - Epoch(train) [48][2720/3757] lr: 1.000e-03 eta: 14:29:11 time: 0.197 data_time: 0.013 memory: 5148 grad_norm: 6.5221 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3556 loss: 1.3556 2022/06/28 07:20:56 - mmengine - INFO - Epoch(train) [48][2740/3757] lr: 1.000e-03 eta: 14:29:06 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 6.0868 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4952 loss: 1.4952 2022/06/28 07:21:01 - mmengine - INFO - Epoch(train) [48][2760/3757] lr: 1.000e-03 eta: 14:29:01 time: 0.233 data_time: 0.008 memory: 5148 grad_norm: 6.0679 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1337 loss: 1.1337 2022/06/28 07:21:06 - mmengine - INFO - Epoch(train) [48][2780/3757] lr: 1.000e-03 eta: 14:28:55 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 5.3271 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5118 loss: 1.5118 2022/06/28 07:21:13 - mmengine - INFO - Epoch(train) [48][2800/3757] lr: 1.000e-03 eta: 14:28:51 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 7.7168 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4227 loss: 1.4227 2022/06/28 07:21:17 - mmengine - INFO - Epoch(train) [48][2820/3757] lr: 1.000e-03 eta: 14:28:45 time: 0.220 data_time: 0.006 memory: 5148 grad_norm: 6.5191 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5344 loss: 1.5344 2022/06/28 07:21:21 - mmengine - INFO - Epoch(train) [48][2840/3757] lr: 1.000e-03 eta: 14:28:38 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 7.5163 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6395 loss: 1.6395 2022/06/28 07:21:26 - mmengine - INFO - Epoch(train) [48][2860/3757] lr: 1.000e-03 eta: 14:28:33 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 6.5605 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2074 loss: 1.2074 2022/06/28 07:21:31 - mmengine - INFO - Epoch(train) [48][2880/3757] lr: 1.000e-03 eta: 14:28:27 time: 0.213 data_time: 0.011 memory: 5148 grad_norm: 5.7103 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3104 loss: 1.3104 2022/06/28 07:21:37 - mmengine - INFO - Epoch(train) [48][2900/3757] lr: 1.000e-03 eta: 14:28:22 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 6.5279 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5998 loss: 1.5998 2022/06/28 07:21:42 - mmengine - INFO - Epoch(train) [48][2920/3757] lr: 1.000e-03 eta: 14:28:17 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 6.9465 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4556 loss: 1.4556 2022/06/28 07:21:48 - mmengine - INFO - Epoch(train) [48][2940/3757] lr: 1.000e-03 eta: 14:28:11 time: 0.199 data_time: 0.018 memory: 5148 grad_norm: 6.5991 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2007 loss: 1.2007 2022/06/28 07:21:53 - mmengine - INFO - Epoch(train) [48][2960/3757] lr: 1.000e-03 eta: 14:28:06 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.3211 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4042 loss: 1.4042 2022/06/28 07:21:59 - mmengine - INFO - Epoch(train) [48][2980/3757] lr: 1.000e-03 eta: 14:28:01 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 7.4638 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8560 loss: 1.8560 2022/06/28 07:22:04 - mmengine - INFO - Epoch(train) [48][3000/3757] lr: 1.000e-03 eta: 14:27:56 time: 0.216 data_time: 0.008 memory: 5148 grad_norm: 6.3138 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.3519 loss: 1.3519 2022/06/28 07:22:09 - mmengine - INFO - Epoch(train) [48][3020/3757] lr: 1.000e-03 eta: 14:27:50 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 6.8324 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7926 loss: 1.7926 2022/06/28 07:22:15 - mmengine - INFO - Epoch(train) [48][3040/3757] lr: 1.000e-03 eta: 14:27:45 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 6.2609 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2268 loss: 1.2268 2022/06/28 07:22:20 - mmengine - INFO - Epoch(train) [48][3060/3757] lr: 1.000e-03 eta: 14:27:40 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 5.5736 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.5434 loss: 1.5434 2022/06/28 07:22:26 - mmengine - INFO - Epoch(train) [48][3080/3757] lr: 1.000e-03 eta: 14:27:35 time: 0.208 data_time: 0.012 memory: 5148 grad_norm: 6.3182 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5752 loss: 1.5752 2022/06/28 07:22:31 - mmengine - INFO - Epoch(train) [48][3100/3757] lr: 1.000e-03 eta: 14:27:30 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 7.1112 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2698 loss: 1.2698 2022/06/28 07:22:36 - mmengine - INFO - Epoch(train) [48][3120/3757] lr: 1.000e-03 eta: 14:27:24 time: 0.227 data_time: 0.007 memory: 5148 grad_norm: 5.4384 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6501 loss: 1.6501 2022/06/28 07:22:42 - mmengine - INFO - Epoch(train) [48][3140/3757] lr: 1.000e-03 eta: 14:27:20 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 6.0159 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3220 loss: 1.3220 2022/06/28 07:22:47 - mmengine - INFO - Epoch(train) [48][3160/3757] lr: 1.000e-03 eta: 14:27:14 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.3657 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2715 loss: 1.2715 2022/06/28 07:22:52 - mmengine - INFO - Epoch(train) [48][3180/3757] lr: 1.000e-03 eta: 14:27:09 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 6.2556 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5482 loss: 1.5482 2022/06/28 07:22:58 - mmengine - INFO - Epoch(train) [48][3200/3757] lr: 1.000e-03 eta: 14:27:03 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 6.3933 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5169 loss: 1.5169 2022/06/28 07:23:03 - mmengine - INFO - Epoch(train) [48][3220/3757] lr: 1.000e-03 eta: 14:26:58 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 7.3652 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6317 loss: 1.6317 2022/06/28 07:23:08 - mmengine - INFO - Epoch(train) [48][3240/3757] lr: 1.000e-03 eta: 14:26:53 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 5.4118 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3633 loss: 1.3633 2022/06/28 07:23:14 - mmengine - INFO - Epoch(train) [48][3260/3757] lr: 1.000e-03 eta: 14:26:48 time: 0.237 data_time: 0.008 memory: 5148 grad_norm: 6.6423 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4464 loss: 1.4464 2022/06/28 07:23:19 - mmengine - INFO - Epoch(train) [48][3280/3757] lr: 1.000e-03 eta: 14:26:42 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 7.5151 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5658 loss: 1.5658 2022/06/28 07:23:25 - mmengine - INFO - Epoch(train) [48][3300/3757] lr: 1.000e-03 eta: 14:26:37 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.8145 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3299 loss: 1.3299 2022/06/28 07:23:30 - mmengine - INFO - Epoch(train) [48][3320/3757] lr: 1.000e-03 eta: 14:26:32 time: 0.210 data_time: 0.011 memory: 5148 grad_norm: 6.4261 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5210 loss: 1.5210 2022/06/28 07:23:35 - mmengine - INFO - Epoch(train) [48][3340/3757] lr: 1.000e-03 eta: 14:26:26 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 6.1193 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5216 loss: 1.5216 2022/06/28 07:23:41 - mmengine - INFO - Epoch(train) [48][3360/3757] lr: 1.000e-03 eta: 14:26:21 time: 0.193 data_time: 0.009 memory: 5148 grad_norm: 5.8203 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4288 loss: 1.4288 2022/06/28 07:23:46 - mmengine - INFO - Epoch(train) [48][3380/3757] lr: 1.000e-03 eta: 14:26:16 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 5.8436 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3952 loss: 1.3952 2022/06/28 07:23:51 - mmengine - INFO - Epoch(train) [48][3400/3757] lr: 1.000e-03 eta: 14:26:10 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.3632 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5771 loss: 1.5771 2022/06/28 07:23:56 - mmengine - INFO - Epoch(train) [48][3420/3757] lr: 1.000e-03 eta: 14:26:05 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 8.0225 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8044 loss: 1.8044 2022/06/28 07:23:57 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 07:24:01 - mmengine - INFO - Epoch(train) [48][3440/3757] lr: 1.000e-03 eta: 14:25:59 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 6.0724 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7657 loss: 1.7657 2022/06/28 07:24:07 - mmengine - INFO - Epoch(train) [48][3460/3757] lr: 1.000e-03 eta: 14:25:54 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 6.7188 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5289 loss: 1.5289 2022/06/28 07:24:12 - mmengine - INFO - Epoch(train) [48][3480/3757] lr: 1.000e-03 eta: 14:25:49 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 5.9299 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0841 loss: 1.0841 2022/06/28 07:24:18 - mmengine - INFO - Epoch(train) [48][3500/3757] lr: 1.000e-03 eta: 14:25:44 time: 0.204 data_time: 0.014 memory: 5148 grad_norm: 6.6095 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5357 loss: 1.5357 2022/06/28 07:24:23 - mmengine - INFO - Epoch(train) [48][3520/3757] lr: 1.000e-03 eta: 14:25:38 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 5.9181 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3301 loss: 1.3301 2022/06/28 07:24:28 - mmengine - INFO - Epoch(train) [48][3540/3757] lr: 1.000e-03 eta: 14:25:33 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 5.2798 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5048 loss: 1.5048 2022/06/28 07:24:33 - mmengine - INFO - Epoch(train) [48][3560/3757] lr: 1.000e-03 eta: 14:25:28 time: 0.197 data_time: 0.016 memory: 5148 grad_norm: 6.8973 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6662 loss: 1.6662 2022/06/28 07:24:39 - mmengine - INFO - Epoch(train) [48][3580/3757] lr: 1.000e-03 eta: 14:25:22 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.7070 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1455 loss: 1.1455 2022/06/28 07:24:44 - mmengine - INFO - Epoch(train) [48][3600/3757] lr: 1.000e-03 eta: 14:25:17 time: 0.206 data_time: 0.006 memory: 5148 grad_norm: 6.9665 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5878 loss: 1.5878 2022/06/28 07:24:49 - mmengine - INFO - Epoch(train) [48][3620/3757] lr: 1.000e-03 eta: 14:25:12 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.9057 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5993 loss: 1.5993 2022/06/28 07:24:55 - mmengine - INFO - Epoch(train) [48][3640/3757] lr: 1.000e-03 eta: 14:25:07 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 6.3328 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2945 loss: 1.2945 2022/06/28 07:25:00 - mmengine - INFO - Epoch(train) [48][3660/3757] lr: 1.000e-03 eta: 14:25:01 time: 0.208 data_time: 0.009 memory: 5148 grad_norm: 7.3037 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6208 loss: 1.6208 2022/06/28 07:25:06 - mmengine - INFO - Epoch(train) [48][3680/3757] lr: 1.000e-03 eta: 14:24:56 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 7.2217 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5516 loss: 1.5516 2022/06/28 07:25:11 - mmengine - INFO - Epoch(train) [48][3700/3757] lr: 1.000e-03 eta: 14:24:51 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 5.9594 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6458 loss: 1.6458 2022/06/28 07:25:17 - mmengine - INFO - Epoch(train) [48][3720/3757] lr: 1.000e-03 eta: 14:24:46 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 6.2332 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3624 loss: 1.3624 2022/06/28 07:25:21 - mmengine - INFO - Epoch(train) [48][3740/3757] lr: 1.000e-03 eta: 14:24:40 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 6.5900 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4791 loss: 1.4791 2022/06/28 07:25:25 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 07:25:32 - mmengine - INFO - Epoch(val) [48][20/310] eta: 0:01:11 time: 0.383 data_time: 0.311 memory: 5148 2022/06/28 07:25:36 - mmengine - INFO - Epoch(val) [48][40/310] eta: 0:01:04 time: 0.089 data_time: 0.008 memory: 1367 2022/06/28 07:25:42 - mmengine - INFO - Epoch(val) [48][60/310] eta: 0:00:57 time: 0.252 data_time: 0.180 memory: 1367 2022/06/28 07:25:47 - mmengine - INFO - Epoch(val) [48][80/310] eta: 0:00:56 time: 0.082 data_time: 0.010 memory: 1367 2022/06/28 07:25:53 - mmengine - INFO - Epoch(val) [48][100/310] eta: 0:00:55 time: 0.471 data_time: 0.400 memory: 1367 2022/06/28 07:25:57 - mmengine - INFO - Epoch(val) [48][120/310] eta: 0:00:44 time: 0.098 data_time: 0.027 memory: 1367 2022/06/28 07:26:04 - mmengine - INFO - Epoch(val) [48][140/310] eta: 0:00:58 time: 0.701 data_time: 0.629 memory: 1367 2022/06/28 07:26:08 - mmengine - INFO - Epoch(val) [48][160/310] eta: 0:00:33 time: 0.085 data_time: 0.008 memory: 1367 2022/06/28 07:26:15 - mmengine - INFO - Epoch(val) [48][180/310] eta: 0:00:51 time: 0.903 data_time: 0.826 memory: 1367 2022/06/28 07:26:19 - mmengine - INFO - Epoch(val) [48][200/310] eta: 0:00:25 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 07:26:25 - mmengine - INFO - Epoch(val) [48][220/310] eta: 0:00:34 time: 0.257 data_time: 0.186 memory: 1367 2022/06/28 07:26:30 - mmengine - INFO - Epoch(val) [48][240/310] eta: 0:00:14 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 07:26:36 - mmengine - INFO - Epoch(val) [48][260/310] eta: 0:00:18 time: 0.081 data_time: 0.005 memory: 1367 2022/06/28 07:26:40 - mmengine - INFO - Epoch(val) [48][280/310] eta: 0:00:06 time: 0.083 data_time: 0.005 memory: 1367 2022/06/28 07:26:46 - mmengine - INFO - Epoch(val) [48][300/310] eta: 0:00:03 time: 0.078 data_time: 0.005 memory: 1367 2022/06/28 07:26:49 - mmengine - INFO - Epoch(val) [48][310/310] acc/top1: 0.6391 acc/top5: 0.8516 acc/mean1: 0.6390 2022/06/28 07:26:58 - mmengine - INFO - Epoch(train) [49][20/3757] lr: 1.000e-03 eta: 14:24:31 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.7298 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6192 loss: 1.6192 2022/06/28 07:27:04 - mmengine - INFO - Epoch(train) [49][40/3757] lr: 1.000e-03 eta: 14:24:26 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.9770 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4891 loss: 1.4891 2022/06/28 07:27:08 - mmengine - INFO - Epoch(train) [49][60/3757] lr: 1.000e-03 eta: 14:24:20 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 6.7861 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6292 loss: 1.6292 2022/06/28 07:27:14 - mmengine - INFO - Epoch(train) [49][80/3757] lr: 1.000e-03 eta: 14:24:15 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 7.1773 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6546 loss: 1.6546 2022/06/28 07:27:20 - mmengine - INFO - Epoch(train) [49][100/3757] lr: 1.000e-03 eta: 14:24:11 time: 0.219 data_time: 0.007 memory: 5148 grad_norm: 6.1915 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2235 loss: 1.2235 2022/06/28 07:27:25 - mmengine - INFO - Epoch(train) [49][120/3757] lr: 1.000e-03 eta: 14:24:05 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 6.1905 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3287 loss: 1.3287 2022/06/28 07:27:30 - mmengine - INFO - Epoch(train) [49][140/3757] lr: 1.000e-03 eta: 14:24:00 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 6.8616 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6797 loss: 1.6797 2022/06/28 07:27:36 - mmengine - INFO - Epoch(train) [49][160/3757] lr: 1.000e-03 eta: 14:23:55 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 6.8218 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6693 loss: 1.6693 2022/06/28 07:27:41 - mmengine - INFO - Epoch(train) [49][180/3757] lr: 1.000e-03 eta: 14:23:49 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 6.7750 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3169 loss: 1.3169 2022/06/28 07:27:46 - mmengine - INFO - Epoch(train) [49][200/3757] lr: 1.000e-03 eta: 14:23:44 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 5.5684 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5381 loss: 1.5381 2022/06/28 07:27:52 - mmengine - INFO - Epoch(train) [49][220/3757] lr: 1.000e-03 eta: 14:23:39 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 5.6097 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0778 loss: 1.0778 2022/06/28 07:27:57 - mmengine - INFO - Epoch(train) [49][240/3757] lr: 1.000e-03 eta: 14:23:33 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 6.1360 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0295 loss: 1.0295 2022/06/28 07:28:03 - mmengine - INFO - Epoch(train) [49][260/3757] lr: 1.000e-03 eta: 14:23:28 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 6.8583 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6329 loss: 1.6329 2022/06/28 07:28:08 - mmengine - INFO - Epoch(train) [49][280/3757] lr: 1.000e-03 eta: 14:23:23 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.6309 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0127 loss: 1.0127 2022/06/28 07:28:13 - mmengine - INFO - Epoch(train) [49][300/3757] lr: 1.000e-03 eta: 14:23:17 time: 0.188 data_time: 0.011 memory: 5148 grad_norm: 6.8254 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4656 loss: 1.4656 2022/06/28 07:28:19 - mmengine - INFO - Epoch(train) [49][320/3757] lr: 1.000e-03 eta: 14:23:13 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 6.1269 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5682 loss: 1.5682 2022/06/28 07:28:24 - mmengine - INFO - Epoch(train) [49][340/3757] lr: 1.000e-03 eta: 14:23:07 time: 0.213 data_time: 0.006 memory: 5148 grad_norm: 7.2652 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4962 loss: 1.4962 2022/06/28 07:28:29 - mmengine - INFO - Epoch(train) [49][360/3757] lr: 1.000e-03 eta: 14:23:01 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 5.0045 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1915 loss: 1.1915 2022/06/28 07:28:35 - mmengine - INFO - Epoch(train) [49][380/3757] lr: 1.000e-03 eta: 14:22:56 time: 0.192 data_time: 0.009 memory: 5148 grad_norm: 5.7587 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7216 loss: 1.7216 2022/06/28 07:28:40 - mmengine - INFO - Epoch(train) [49][400/3757] lr: 1.000e-03 eta: 14:22:52 time: 0.213 data_time: 0.006 memory: 5148 grad_norm: 5.8593 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2250 loss: 1.2250 2022/06/28 07:28:45 - mmengine - INFO - Epoch(train) [49][420/3757] lr: 1.000e-03 eta: 14:22:45 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 5.7855 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1122 loss: 1.1122 2022/06/28 07:28:50 - mmengine - INFO - Epoch(train) [49][440/3757] lr: 1.000e-03 eta: 14:22:40 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.4002 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6957 loss: 1.6957 2022/06/28 07:28:56 - mmengine - INFO - Epoch(train) [49][460/3757] lr: 1.000e-03 eta: 14:22:35 time: 0.207 data_time: 0.015 memory: 5148 grad_norm: 6.3367 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4843 loss: 1.4843 2022/06/28 07:29:01 - mmengine - INFO - Epoch(train) [49][480/3757] lr: 1.000e-03 eta: 14:22:30 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 6.3970 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4746 loss: 1.4746 2022/06/28 07:29:06 - mmengine - INFO - Epoch(train) [49][500/3757] lr: 1.000e-03 eta: 14:22:25 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 7.9477 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.7723 loss: 1.7723 2022/06/28 07:29:12 - mmengine - INFO - Epoch(train) [49][520/3757] lr: 1.000e-03 eta: 14:22:19 time: 0.202 data_time: 0.013 memory: 5148 grad_norm: 6.5072 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2515 loss: 1.2515 2022/06/28 07:29:16 - mmengine - INFO - Epoch(train) [49][540/3757] lr: 1.000e-03 eta: 14:22:13 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 6.2378 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1874 loss: 1.1874 2022/06/28 07:29:22 - mmengine - INFO - Epoch(train) [49][560/3757] lr: 1.000e-03 eta: 14:22:08 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 6.8104 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5469 loss: 1.5469 2022/06/28 07:29:28 - mmengine - INFO - Epoch(train) [49][580/3757] lr: 1.000e-03 eta: 14:22:03 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 6.9289 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1091 loss: 2.1091 2022/06/28 07:29:32 - mmengine - INFO - Epoch(train) [49][600/3757] lr: 1.000e-03 eta: 14:21:57 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 6.2364 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3545 loss: 1.3545 2022/06/28 07:29:38 - mmengine - INFO - Epoch(train) [49][620/3757] lr: 1.000e-03 eta: 14:21:52 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 8.0756 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3031 loss: 1.3031 2022/06/28 07:29:43 - mmengine - INFO - Epoch(train) [49][640/3757] lr: 1.000e-03 eta: 14:21:47 time: 0.221 data_time: 0.025 memory: 5148 grad_norm: 7.2271 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3623 loss: 1.3623 2022/06/28 07:29:48 - mmengine - INFO - Epoch(train) [49][660/3757] lr: 1.000e-03 eta: 14:21:41 time: 0.196 data_time: 0.013 memory: 5148 grad_norm: 6.9441 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7190 loss: 1.7190 2022/06/28 07:29:50 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 07:29:54 - mmengine - INFO - Epoch(train) [49][680/3757] lr: 1.000e-03 eta: 14:21:36 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 6.9593 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5052 loss: 1.5052 2022/06/28 07:30:00 - mmengine - INFO - Epoch(train) [49][700/3757] lr: 1.000e-03 eta: 14:21:32 time: 0.208 data_time: 0.032 memory: 5148 grad_norm: 6.8554 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5840 loss: 1.5840 2022/06/28 07:30:05 - mmengine - INFO - Epoch(train) [49][720/3757] lr: 1.000e-03 eta: 14:21:26 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.2845 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1707 loss: 1.1707 2022/06/28 07:30:10 - mmengine - INFO - Epoch(train) [49][740/3757] lr: 1.000e-03 eta: 14:21:21 time: 0.205 data_time: 0.015 memory: 5148 grad_norm: 7.9068 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4158 loss: 1.4158 2022/06/28 07:30:16 - mmengine - INFO - Epoch(train) [49][760/3757] lr: 1.000e-03 eta: 14:21:16 time: 0.211 data_time: 0.021 memory: 5148 grad_norm: 6.5860 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5340 loss: 1.5340 2022/06/28 07:30:21 - mmengine - INFO - Epoch(train) [49][780/3757] lr: 1.000e-03 eta: 14:21:11 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.5167 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3737 loss: 1.3737 2022/06/28 07:30:27 - mmengine - INFO - Epoch(train) [49][800/3757] lr: 1.000e-03 eta: 14:21:06 time: 0.833 data_time: 0.017 memory: 5148 grad_norm: 6.4298 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6255 loss: 1.6255 2022/06/28 07:30:32 - mmengine - INFO - Epoch(train) [49][820/3757] lr: 1.000e-03 eta: 14:21:00 time: 0.208 data_time: 0.027 memory: 5148 grad_norm: 6.1676 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0678 loss: 1.0678 2022/06/28 07:30:38 - mmengine - INFO - Epoch(train) [49][840/3757] lr: 1.000e-03 eta: 14:20:55 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 6.4556 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6216 loss: 1.6216 2022/06/28 07:30:43 - mmengine - INFO - Epoch(train) [49][860/3757] lr: 1.000e-03 eta: 14:20:50 time: 0.451 data_time: 0.010 memory: 5148 grad_norm: 6.2780 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2990 loss: 1.2990 2022/06/28 07:30:48 - mmengine - INFO - Epoch(train) [49][880/3757] lr: 1.000e-03 eta: 14:20:44 time: 0.205 data_time: 0.009 memory: 5148 grad_norm: 6.5520 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5970 loss: 1.5970 2022/06/28 07:30:53 - mmengine - INFO - Epoch(train) [49][900/3757] lr: 1.000e-03 eta: 14:20:38 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 7.0505 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7396 loss: 1.7396 2022/06/28 07:30:59 - mmengine - INFO - Epoch(train) [49][920/3757] lr: 1.000e-03 eta: 14:20:33 time: 1.269 data_time: 0.010 memory: 5148 grad_norm: 6.2055 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5135 loss: 1.5135 2022/06/28 07:31:04 - mmengine - INFO - Epoch(train) [49][940/3757] lr: 1.000e-03 eta: 14:20:28 time: 0.210 data_time: 0.006 memory: 5148 grad_norm: 5.5085 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5574 loss: 1.5574 2022/06/28 07:31:10 - mmengine - INFO - Epoch(train) [49][960/3757] lr: 1.000e-03 eta: 14:20:23 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 6.8376 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4411 loss: 1.4411 2022/06/28 07:31:15 - mmengine - INFO - Epoch(train) [49][980/3757] lr: 1.000e-03 eta: 14:20:18 time: 0.753 data_time: 0.012 memory: 5148 grad_norm: 6.4622 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7291 loss: 1.7291 2022/06/28 07:31:20 - mmengine - INFO - Epoch(train) [49][1000/3757] lr: 1.000e-03 eta: 14:20:12 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 4.9217 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3852 loss: 1.3852 2022/06/28 07:31:26 - mmengine - INFO - Epoch(train) [49][1020/3757] lr: 1.000e-03 eta: 14:20:07 time: 0.228 data_time: 0.007 memory: 5148 grad_norm: 6.2440 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8672 loss: 1.8672 2022/06/28 07:31:31 - mmengine - INFO - Epoch(train) [49][1040/3757] lr: 1.000e-03 eta: 14:20:02 time: 0.890 data_time: 0.014 memory: 5148 grad_norm: 6.1955 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3363 loss: 1.3363 2022/06/28 07:31:36 - mmengine - INFO - Epoch(train) [49][1060/3757] lr: 1.000e-03 eta: 14:19:56 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 6.2183 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7297 loss: 1.7297 2022/06/28 07:31:41 - mmengine - INFO - Epoch(train) [49][1080/3757] lr: 1.000e-03 eta: 14:19:51 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 6.7296 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2633 loss: 1.2633 2022/06/28 07:31:47 - mmengine - INFO - Epoch(train) [49][1100/3757] lr: 1.000e-03 eta: 14:19:46 time: 1.012 data_time: 0.011 memory: 5148 grad_norm: 7.1550 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6627 loss: 1.6627 2022/06/28 07:31:51 - mmengine - INFO - Epoch(train) [49][1120/3757] lr: 1.000e-03 eta: 14:19:40 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 6.6687 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7221 loss: 1.7221 2022/06/28 07:31:57 - mmengine - INFO - Epoch(train) [49][1140/3757] lr: 1.000e-03 eta: 14:19:34 time: 0.198 data_time: 0.013 memory: 5148 grad_norm: 5.1296 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7562 loss: 1.7562 2022/06/28 07:32:02 - mmengine - INFO - Epoch(train) [49][1160/3757] lr: 1.000e-03 eta: 14:19:29 time: 0.655 data_time: 0.011 memory: 5148 grad_norm: 6.3496 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2691 loss: 1.2691 2022/06/28 07:32:07 - mmengine - INFO - Epoch(train) [49][1180/3757] lr: 1.000e-03 eta: 14:19:24 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 6.5336 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8396 loss: 1.8396 2022/06/28 07:32:13 - mmengine - INFO - Epoch(train) [49][1200/3757] lr: 1.000e-03 eta: 14:19:18 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 5.7800 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3703 loss: 1.3703 2022/06/28 07:32:19 - mmengine - INFO - Epoch(train) [49][1220/3757] lr: 1.000e-03 eta: 14:19:14 time: 1.188 data_time: 0.006 memory: 5148 grad_norm: 5.1620 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2065 loss: 1.2065 2022/06/28 07:32:23 - mmengine - INFO - Epoch(train) [49][1240/3757] lr: 1.000e-03 eta: 14:19:08 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 6.8891 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6004 loss: 1.6004 2022/06/28 07:32:29 - mmengine - INFO - Epoch(train) [49][1260/3757] lr: 1.000e-03 eta: 14:19:03 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 6.6001 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2019 loss: 1.2019 2022/06/28 07:32:34 - mmengine - INFO - Epoch(train) [49][1280/3757] lr: 1.000e-03 eta: 14:18:57 time: 0.215 data_time: 0.014 memory: 5148 grad_norm: 6.7514 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4423 loss: 1.4423 2022/06/28 07:32:39 - mmengine - INFO - Epoch(train) [49][1300/3757] lr: 1.000e-03 eta: 14:18:52 time: 0.218 data_time: 0.011 memory: 5148 grad_norm: 5.9159 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4070 loss: 1.4070 2022/06/28 07:32:45 - mmengine - INFO - Epoch(train) [49][1320/3757] lr: 1.000e-03 eta: 14:18:47 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 7.0660 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7466 loss: 1.7466 2022/06/28 07:32:50 - mmengine - INFO - Epoch(train) [49][1340/3757] lr: 1.000e-03 eta: 14:18:41 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 6.1547 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3530 loss: 1.3530 2022/06/28 07:32:55 - mmengine - INFO - Epoch(train) [49][1360/3757] lr: 1.000e-03 eta: 14:18:36 time: 0.197 data_time: 0.014 memory: 5148 grad_norm: 6.7233 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6259 loss: 1.6259 2022/06/28 07:33:00 - mmengine - INFO - Epoch(train) [49][1380/3757] lr: 1.000e-03 eta: 14:18:31 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.4506 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4970 loss: 1.4970 2022/06/28 07:33:06 - mmengine - INFO - Epoch(train) [49][1400/3757] lr: 1.000e-03 eta: 14:18:25 time: 0.201 data_time: 0.013 memory: 5148 grad_norm: 6.9566 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3934 loss: 1.3934 2022/06/28 07:33:11 - mmengine - INFO - Epoch(train) [49][1420/3757] lr: 1.000e-03 eta: 14:18:20 time: 0.192 data_time: 0.009 memory: 5148 grad_norm: 6.5729 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5449 loss: 1.5449 2022/06/28 07:33:16 - mmengine - INFO - Epoch(train) [49][1440/3757] lr: 1.000e-03 eta: 14:18:14 time: 0.209 data_time: 0.018 memory: 5148 grad_norm: 6.3923 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3632 loss: 1.3632 2022/06/28 07:33:22 - mmengine - INFO - Epoch(train) [49][1460/3757] lr: 1.000e-03 eta: 14:18:09 time: 0.199 data_time: 0.012 memory: 5148 grad_norm: 6.3328 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7903 loss: 1.7903 2022/06/28 07:33:27 - mmengine - INFO - Epoch(train) [49][1480/3757] lr: 1.000e-03 eta: 14:18:04 time: 0.200 data_time: 0.009 memory: 5148 grad_norm: 6.4561 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5897 loss: 1.5897 2022/06/28 07:33:32 - mmengine - INFO - Epoch(train) [49][1500/3757] lr: 1.000e-03 eta: 14:17:59 time: 0.208 data_time: 0.020 memory: 5148 grad_norm: 6.0814 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3697 loss: 1.3697 2022/06/28 07:33:38 - mmengine - INFO - Epoch(train) [49][1520/3757] lr: 1.000e-03 eta: 14:17:54 time: 0.197 data_time: 0.018 memory: 5148 grad_norm: 6.4075 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4606 loss: 1.4606 2022/06/28 07:33:44 - mmengine - INFO - Epoch(train) [49][1540/3757] lr: 1.000e-03 eta: 14:17:49 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 7.0166 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3240 loss: 1.3240 2022/06/28 07:33:49 - mmengine - INFO - Epoch(train) [49][1560/3757] lr: 1.000e-03 eta: 14:17:43 time: 0.208 data_time: 0.021 memory: 5148 grad_norm: 6.3137 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5602 loss: 1.5602 2022/06/28 07:33:54 - mmengine - INFO - Epoch(train) [49][1580/3757] lr: 1.000e-03 eta: 14:17:38 time: 0.189 data_time: 0.009 memory: 5148 grad_norm: 6.7977 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1971 loss: 1.1971 2022/06/28 07:34:00 - mmengine - INFO - Epoch(train) [49][1600/3757] lr: 1.000e-03 eta: 14:17:33 time: 0.192 data_time: 0.014 memory: 5148 grad_norm: 6.1667 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3727 loss: 1.3727 2022/06/28 07:34:04 - mmengine - INFO - Epoch(train) [49][1620/3757] lr: 1.000e-03 eta: 14:17:27 time: 0.190 data_time: 0.012 memory: 5148 grad_norm: 6.7036 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5688 loss: 1.5688 2022/06/28 07:34:09 - mmengine - INFO - Epoch(train) [49][1640/3757] lr: 1.000e-03 eta: 14:17:21 time: 0.192 data_time: 0.010 memory: 5148 grad_norm: 6.9363 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8401 loss: 1.8401 2022/06/28 07:34:15 - mmengine - INFO - Epoch(train) [49][1660/3757] lr: 1.000e-03 eta: 14:17:16 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 7.8634 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7067 loss: 1.7067 2022/06/28 07:34:16 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 07:34:21 - mmengine - INFO - Epoch(train) [49][1680/3757] lr: 1.000e-03 eta: 14:17:11 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 7.1571 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.5314 loss: 1.5314 2022/06/28 07:34:25 - mmengine - INFO - Epoch(train) [49][1700/3757] lr: 1.000e-03 eta: 14:17:05 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 5.4440 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5820 loss: 1.5820 2022/06/28 07:34:31 - mmengine - INFO - Epoch(train) [49][1720/3757] lr: 1.000e-03 eta: 14:17:01 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 5.9596 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4653 loss: 1.4653 2022/06/28 07:34:37 - mmengine - INFO - Epoch(train) [49][1740/3757] lr: 1.000e-03 eta: 14:16:55 time: 0.198 data_time: 0.013 memory: 5148 grad_norm: 6.6271 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5013 loss: 1.5013 2022/06/28 07:34:41 - mmengine - INFO - Epoch(train) [49][1760/3757] lr: 1.000e-03 eta: 14:16:50 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 5.8789 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7460 loss: 1.7460 2022/06/28 07:34:47 - mmengine - INFO - Epoch(train) [49][1780/3757] lr: 1.000e-03 eta: 14:16:45 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.4294 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3961 loss: 1.3961 2022/06/28 07:34:53 - mmengine - INFO - Epoch(train) [49][1800/3757] lr: 1.000e-03 eta: 14:16:40 time: 0.235 data_time: 0.007 memory: 5148 grad_norm: 6.9567 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4518 loss: 1.4518 2022/06/28 07:34:58 - mmengine - INFO - Epoch(train) [49][1820/3757] lr: 1.000e-03 eta: 14:16:34 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.8859 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7163 loss: 1.7163 2022/06/28 07:35:03 - mmengine - INFO - Epoch(train) [49][1840/3757] lr: 1.000e-03 eta: 14:16:29 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 7.8914 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2957 loss: 1.2957 2022/06/28 07:35:09 - mmengine - INFO - Epoch(train) [49][1860/3757] lr: 1.000e-03 eta: 14:16:24 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 6.4358 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4157 loss: 1.4157 2022/06/28 07:35:14 - mmengine - INFO - Epoch(train) [49][1880/3757] lr: 1.000e-03 eta: 14:16:18 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 7.7789 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5342 loss: 1.5342 2022/06/28 07:35:19 - mmengine - INFO - Epoch(train) [49][1900/3757] lr: 1.000e-03 eta: 14:16:13 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 7.8828 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4474 loss: 1.4474 2022/06/28 07:35:25 - mmengine - INFO - Epoch(train) [49][1920/3757] lr: 1.000e-03 eta: 14:16:08 time: 0.230 data_time: 0.007 memory: 5148 grad_norm: 7.8560 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.9074 loss: 1.9074 2022/06/28 07:35:30 - mmengine - INFO - Epoch(train) [49][1940/3757] lr: 1.000e-03 eta: 14:16:02 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 7.8147 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3460 loss: 1.3460 2022/06/28 07:35:35 - mmengine - INFO - Epoch(train) [49][1960/3757] lr: 1.000e-03 eta: 14:15:57 time: 0.206 data_time: 0.006 memory: 5148 grad_norm: 6.4920 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5120 loss: 1.5120 2022/06/28 07:35:41 - mmengine - INFO - Epoch(train) [49][1980/3757] lr: 1.000e-03 eta: 14:15:52 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 5.5588 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0323 loss: 1.0323 2022/06/28 07:35:46 - mmengine - INFO - Epoch(train) [49][2000/3757] lr: 1.000e-03 eta: 14:15:46 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 7.0718 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5131 loss: 1.5131 2022/06/28 07:35:51 - mmengine - INFO - Epoch(train) [49][2020/3757] lr: 1.000e-03 eta: 14:15:41 time: 0.256 data_time: 0.006 memory: 5148 grad_norm: 6.0554 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3112 loss: 1.3112 2022/06/28 07:35:57 - mmengine - INFO - Epoch(train) [49][2040/3757] lr: 1.000e-03 eta: 14:15:36 time: 0.696 data_time: 0.014 memory: 5148 grad_norm: 6.9533 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5651 loss: 1.5651 2022/06/28 07:36:01 - mmengine - INFO - Epoch(train) [49][2060/3757] lr: 1.000e-03 eta: 14:15:30 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 5.5183 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5827 loss: 1.5827 2022/06/28 07:36:07 - mmengine - INFO - Epoch(train) [49][2080/3757] lr: 1.000e-03 eta: 14:15:25 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.1322 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9312 loss: 0.9312 2022/06/28 07:36:12 - mmengine - INFO - Epoch(train) [49][2100/3757] lr: 1.000e-03 eta: 14:15:20 time: 0.838 data_time: 0.015 memory: 5148 grad_norm: 6.2260 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3012 loss: 1.3012 2022/06/28 07:36:18 - mmengine - INFO - Epoch(train) [49][2120/3757] lr: 1.000e-03 eta: 14:15:14 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 5.6668 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5422 loss: 1.5422 2022/06/28 07:36:23 - mmengine - INFO - Epoch(train) [49][2140/3757] lr: 1.000e-03 eta: 14:15:09 time: 0.257 data_time: 0.008 memory: 5148 grad_norm: 7.0385 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6967 loss: 1.6967 2022/06/28 07:36:29 - mmengine - INFO - Epoch(train) [49][2160/3757] lr: 1.000e-03 eta: 14:15:04 time: 1.235 data_time: 0.025 memory: 5148 grad_norm: 6.1800 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4284 loss: 1.4284 2022/06/28 07:36:34 - mmengine - INFO - Epoch(train) [49][2180/3757] lr: 1.000e-03 eta: 14:14:58 time: 0.211 data_time: 0.012 memory: 5148 grad_norm: 6.0052 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3393 loss: 1.3393 2022/06/28 07:36:39 - mmengine - INFO - Epoch(train) [49][2200/3757] lr: 1.000e-03 eta: 14:14:53 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 7.1423 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4817 loss: 1.4817 2022/06/28 07:36:45 - mmengine - INFO - Epoch(train) [49][2220/3757] lr: 1.000e-03 eta: 14:14:48 time: 0.503 data_time: 0.028 memory: 5148 grad_norm: 7.0349 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3644 loss: 1.3644 2022/06/28 07:36:50 - mmengine - INFO - Epoch(train) [49][2240/3757] lr: 1.000e-03 eta: 14:14:43 time: 0.201 data_time: 0.012 memory: 5148 grad_norm: 7.6796 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1761 loss: 1.1761 2022/06/28 07:36:56 - mmengine - INFO - Epoch(train) [49][2260/3757] lr: 1.000e-03 eta: 14:14:38 time: 0.193 data_time: 0.008 memory: 5148 grad_norm: 6.3913 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7177 loss: 1.7177 2022/06/28 07:37:01 - mmengine - INFO - Epoch(train) [49][2280/3757] lr: 1.000e-03 eta: 14:14:33 time: 0.797 data_time: 0.021 memory: 5148 grad_norm: 6.3866 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7788 loss: 1.7788 2022/06/28 07:37:06 - mmengine - INFO - Epoch(train) [49][2300/3757] lr: 1.000e-03 eta: 14:14:27 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.5179 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2995 loss: 1.2995 2022/06/28 07:37:12 - mmengine - INFO - Epoch(train) [49][2320/3757] lr: 1.000e-03 eta: 14:14:22 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 7.3477 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6326 loss: 1.6326 2022/06/28 07:37:17 - mmengine - INFO - Epoch(train) [49][2340/3757] lr: 1.000e-03 eta: 14:14:17 time: 0.463 data_time: 0.027 memory: 5148 grad_norm: 6.2307 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6537 loss: 1.6537 2022/06/28 07:37:22 - mmengine - INFO - Epoch(train) [49][2360/3757] lr: 1.000e-03 eta: 14:14:11 time: 0.204 data_time: 0.020 memory: 5148 grad_norm: 6.1490 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0062 loss: 1.0062 2022/06/28 07:37:27 - mmengine - INFO - Epoch(train) [49][2380/3757] lr: 1.000e-03 eta: 14:14:06 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 5.9154 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4502 loss: 1.4502 2022/06/28 07:37:33 - mmengine - INFO - Epoch(train) [49][2400/3757] lr: 1.000e-03 eta: 14:14:01 time: 0.712 data_time: 0.006 memory: 5148 grad_norm: 7.4927 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7819 loss: 1.7819 2022/06/28 07:37:37 - mmengine - INFO - Epoch(train) [49][2420/3757] lr: 1.000e-03 eta: 14:13:55 time: 0.209 data_time: 0.011 memory: 5148 grad_norm: 6.7245 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6589 loss: 1.6589 2022/06/28 07:37:43 - mmengine - INFO - Epoch(train) [49][2440/3757] lr: 1.000e-03 eta: 14:13:49 time: 0.207 data_time: 0.021 memory: 5148 grad_norm: 6.8866 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7807 loss: 1.7807 2022/06/28 07:37:49 - mmengine - INFO - Epoch(train) [49][2460/3757] lr: 1.000e-03 eta: 14:13:45 time: 1.184 data_time: 0.007 memory: 5148 grad_norm: 6.2961 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2593 loss: 1.2593 2022/06/28 07:37:54 - mmengine - INFO - Epoch(train) [49][2480/3757] lr: 1.000e-03 eta: 14:13:39 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.9131 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2777 loss: 1.2777 2022/06/28 07:37:59 - mmengine - INFO - Epoch(train) [49][2500/3757] lr: 1.000e-03 eta: 14:13:34 time: 0.199 data_time: 0.017 memory: 5148 grad_norm: 6.1221 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8726 loss: 1.8726 2022/06/28 07:38:05 - mmengine - INFO - Epoch(train) [49][2520/3757] lr: 1.000e-03 eta: 14:13:29 time: 0.763 data_time: 0.008 memory: 5148 grad_norm: 5.8228 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6102 loss: 1.6102 2022/06/28 07:38:09 - mmengine - INFO - Epoch(train) [49][2540/3757] lr: 1.000e-03 eta: 14:13:23 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 6.2259 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0611 loss: 1.0611 2022/06/28 07:38:15 - mmengine - INFO - Epoch(train) [49][2560/3757] lr: 1.000e-03 eta: 14:13:17 time: 0.200 data_time: 0.016 memory: 5148 grad_norm: 6.8320 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7711 loss: 1.7711 2022/06/28 07:38:20 - mmengine - INFO - Epoch(train) [49][2580/3757] lr: 1.000e-03 eta: 14:13:12 time: 0.794 data_time: 0.007 memory: 5148 grad_norm: 5.4936 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2830 loss: 1.2830 2022/06/28 07:38:26 - mmengine - INFO - Epoch(train) [49][2600/3757] lr: 1.000e-03 eta: 14:13:07 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 5.0788 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4598 loss: 1.4598 2022/06/28 07:38:30 - mmengine - INFO - Epoch(train) [49][2620/3757] lr: 1.000e-03 eta: 14:13:01 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 6.6906 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6814 loss: 1.6814 2022/06/28 07:38:36 - mmengine - INFO - Epoch(train) [49][2640/3757] lr: 1.000e-03 eta: 14:12:56 time: 1.062 data_time: 0.007 memory: 5148 grad_norm: 6.5153 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3806 loss: 1.3806 2022/06/28 07:38:41 - mmengine - INFO - Epoch(train) [49][2660/3757] lr: 1.000e-03 eta: 14:12:50 time: 0.208 data_time: 0.010 memory: 5148 grad_norm: 7.1384 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7434 loss: 1.7434 2022/06/28 07:38:42 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 07:38:46 - mmengine - INFO - Epoch(train) [49][2680/3757] lr: 1.000e-03 eta: 14:12:45 time: 0.201 data_time: 0.014 memory: 5148 grad_norm: 5.7072 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7650 loss: 1.7650 2022/06/28 07:38:52 - mmengine - INFO - Epoch(train) [49][2700/3757] lr: 1.000e-03 eta: 14:12:40 time: 0.597 data_time: 0.007 memory: 5148 grad_norm: 6.7497 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5837 loss: 1.5837 2022/06/28 07:38:57 - mmengine - INFO - Epoch(train) [49][2720/3757] lr: 1.000e-03 eta: 14:12:35 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.2121 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5141 loss: 1.5141 2022/06/28 07:39:02 - mmengine - INFO - Epoch(train) [49][2740/3757] lr: 1.000e-03 eta: 14:12:29 time: 0.208 data_time: 0.010 memory: 5148 grad_norm: 6.8561 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2073 loss: 1.2073 2022/06/28 07:39:08 - mmengine - INFO - Epoch(train) [49][2760/3757] lr: 1.000e-03 eta: 14:12:24 time: 0.220 data_time: 0.007 memory: 5148 grad_norm: 6.3405 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4865 loss: 1.4865 2022/06/28 07:39:13 - mmengine - INFO - Epoch(train) [49][2780/3757] lr: 1.000e-03 eta: 14:12:19 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.4727 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6389 loss: 1.6389 2022/06/28 07:39:18 - mmengine - INFO - Epoch(train) [49][2800/3757] lr: 1.000e-03 eta: 14:12:13 time: 0.200 data_time: 0.014 memory: 5148 grad_norm: 7.9292 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3279 loss: 1.3279 2022/06/28 07:39:24 - mmengine - INFO - Epoch(train) [49][2820/3757] lr: 1.000e-03 eta: 14:12:08 time: 0.931 data_time: 0.007 memory: 5148 grad_norm: 6.3244 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6390 loss: 1.6390 2022/06/28 07:39:29 - mmengine - INFO - Epoch(train) [49][2840/3757] lr: 1.000e-03 eta: 14:12:03 time: 0.209 data_time: 0.009 memory: 5148 grad_norm: 5.3028 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.0665 loss: 2.0665 2022/06/28 07:39:35 - mmengine - INFO - Epoch(train) [49][2860/3757] lr: 1.000e-03 eta: 14:11:58 time: 0.200 data_time: 0.013 memory: 5148 grad_norm: 6.4732 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.4904 loss: 1.4904 2022/06/28 07:39:40 - mmengine - INFO - Epoch(train) [49][2880/3757] lr: 1.000e-03 eta: 14:11:53 time: 0.698 data_time: 0.007 memory: 5148 grad_norm: 5.9453 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8320 loss: 1.8320 2022/06/28 07:39:46 - mmengine - INFO - Epoch(train) [49][2900/3757] lr: 1.000e-03 eta: 14:11:47 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 7.2764 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8801 loss: 1.8801 2022/06/28 07:39:51 - mmengine - INFO - Epoch(train) [49][2920/3757] lr: 1.000e-03 eta: 14:11:42 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 6.1916 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4007 loss: 1.4007 2022/06/28 07:39:57 - mmengine - INFO - Epoch(train) [49][2940/3757] lr: 1.000e-03 eta: 14:11:37 time: 0.221 data_time: 0.010 memory: 5148 grad_norm: 7.4966 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5347 loss: 1.5347 2022/06/28 07:40:01 - mmengine - INFO - Epoch(train) [49][2960/3757] lr: 1.000e-03 eta: 14:11:31 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 7.2986 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4614 loss: 1.4614 2022/06/28 07:40:06 - mmengine - INFO - Epoch(train) [49][2980/3757] lr: 1.000e-03 eta: 14:11:25 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 6.1103 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3476 loss: 1.3476 2022/06/28 07:40:12 - mmengine - INFO - Epoch(train) [49][3000/3757] lr: 1.000e-03 eta: 14:11:20 time: 0.790 data_time: 0.007 memory: 5148 grad_norm: 6.7426 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6183 loss: 1.6183 2022/06/28 07:40:17 - mmengine - INFO - Epoch(train) [49][3020/3757] lr: 1.000e-03 eta: 14:11:15 time: 0.205 data_time: 0.014 memory: 5148 grad_norm: 6.1092 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5665 loss: 1.5665 2022/06/28 07:40:23 - mmengine - INFO - Epoch(train) [49][3040/3757] lr: 1.000e-03 eta: 14:11:10 time: 0.209 data_time: 0.012 memory: 5148 grad_norm: 5.4026 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5142 loss: 1.5142 2022/06/28 07:40:28 - mmengine - INFO - Epoch(train) [49][3060/3757] lr: 1.000e-03 eta: 14:11:05 time: 0.814 data_time: 0.007 memory: 5148 grad_norm: 5.8430 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6687 loss: 1.6687 2022/06/28 07:40:33 - mmengine - INFO - Epoch(train) [49][3080/3757] lr: 1.000e-03 eta: 14:10:59 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 7.4887 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6458 loss: 1.6458 2022/06/28 07:40:39 - mmengine - INFO - Epoch(train) [49][3100/3757] lr: 1.000e-03 eta: 14:10:55 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 6.4793 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1782 loss: 1.1782 2022/06/28 07:40:45 - mmengine - INFO - Epoch(train) [49][3120/3757] lr: 1.000e-03 eta: 14:10:50 time: 0.970 data_time: 0.007 memory: 5148 grad_norm: 7.0237 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6421 loss: 1.6421 2022/06/28 07:40:50 - mmengine - INFO - Epoch(train) [49][3140/3757] lr: 1.000e-03 eta: 14:10:44 time: 0.207 data_time: 0.006 memory: 5148 grad_norm: 6.6084 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6591 loss: 1.6591 2022/06/28 07:40:55 - mmengine - INFO - Epoch(train) [49][3160/3757] lr: 1.000e-03 eta: 14:10:39 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 6.5152 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5972 loss: 1.5972 2022/06/28 07:41:01 - mmengine - INFO - Epoch(train) [49][3180/3757] lr: 1.000e-03 eta: 14:10:34 time: 0.684 data_time: 0.010 memory: 5148 grad_norm: 6.6922 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8262 loss: 1.8262 2022/06/28 07:41:05 - mmengine - INFO - Epoch(train) [49][3200/3757] lr: 1.000e-03 eta: 14:10:28 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 5.2836 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2550 loss: 1.2550 2022/06/28 07:41:11 - mmengine - INFO - Epoch(train) [49][3220/3757] lr: 1.000e-03 eta: 14:10:23 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 6.6205 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1045 loss: 2.1045 2022/06/28 07:41:17 - mmengine - INFO - Epoch(train) [49][3240/3757] lr: 1.000e-03 eta: 14:10:18 time: 0.987 data_time: 0.022 memory: 5148 grad_norm: 5.9117 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3127 loss: 1.3127 2022/06/28 07:41:21 - mmengine - INFO - Epoch(train) [49][3260/3757] lr: 1.000e-03 eta: 14:10:12 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 6.8370 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3363 loss: 1.3363 2022/06/28 07:41:27 - mmengine - INFO - Epoch(train) [49][3280/3757] lr: 1.000e-03 eta: 14:10:06 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.5692 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2246 loss: 1.2246 2022/06/28 07:41:32 - mmengine - INFO - Epoch(train) [49][3300/3757] lr: 1.000e-03 eta: 14:10:01 time: 0.805 data_time: 0.011 memory: 5148 grad_norm: 6.7870 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3364 loss: 1.3364 2022/06/28 07:41:37 - mmengine - INFO - Epoch(train) [49][3320/3757] lr: 1.000e-03 eta: 14:09:55 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 6.5610 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4927 loss: 1.4927 2022/06/28 07:41:42 - mmengine - INFO - Epoch(train) [49][3340/3757] lr: 1.000e-03 eta: 14:09:50 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 6.0873 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7391 loss: 1.7391 2022/06/28 07:41:47 - mmengine - INFO - Epoch(train) [49][3360/3757] lr: 1.000e-03 eta: 14:09:45 time: 0.581 data_time: 0.010 memory: 5148 grad_norm: 6.2085 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4353 loss: 1.4353 2022/06/28 07:41:53 - mmengine - INFO - Epoch(train) [49][3380/3757] lr: 1.000e-03 eta: 14:09:39 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 7.0731 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3035 loss: 1.3035 2022/06/28 07:41:58 - mmengine - INFO - Epoch(train) [49][3400/3757] lr: 1.000e-03 eta: 14:09:34 time: 0.300 data_time: 0.019 memory: 5148 grad_norm: 6.0341 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1382 loss: 1.1382 2022/06/28 07:42:03 - mmengine - INFO - Epoch(train) [49][3420/3757] lr: 1.000e-03 eta: 14:09:29 time: 0.210 data_time: 0.010 memory: 5148 grad_norm: 6.4613 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4971 loss: 1.4971 2022/06/28 07:42:09 - mmengine - INFO - Epoch(train) [49][3440/3757] lr: 1.000e-03 eta: 14:09:24 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 6.5539 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8143 loss: 1.8143 2022/06/28 07:42:15 - mmengine - INFO - Epoch(train) [49][3460/3757] lr: 1.000e-03 eta: 14:09:19 time: 0.710 data_time: 0.030 memory: 5148 grad_norm: 7.4617 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6876 loss: 1.6876 2022/06/28 07:42:20 - mmengine - INFO - Epoch(train) [49][3480/3757] lr: 1.000e-03 eta: 14:09:13 time: 0.311 data_time: 0.007 memory: 5148 grad_norm: 6.6407 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1187 loss: 1.1187 2022/06/28 07:42:25 - mmengine - INFO - Epoch(train) [49][3500/3757] lr: 1.000e-03 eta: 14:09:08 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 6.8402 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6915 loss: 1.6915 2022/06/28 07:42:30 - mmengine - INFO - Epoch(train) [49][3520/3757] lr: 1.000e-03 eta: 14:09:03 time: 0.286 data_time: 0.029 memory: 5148 grad_norm: 6.9680 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2675 loss: 1.2675 2022/06/28 07:42:36 - mmengine - INFO - Epoch(train) [49][3540/3757] lr: 1.000e-03 eta: 14:08:58 time: 0.764 data_time: 0.009 memory: 5148 grad_norm: 5.6636 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4880 loss: 1.4880 2022/06/28 07:42:41 - mmengine - INFO - Epoch(train) [49][3560/3757] lr: 1.000e-03 eta: 14:08:52 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 6.3474 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8477 loss: 1.8477 2022/06/28 07:42:46 - mmengine - INFO - Epoch(train) [49][3580/3757] lr: 1.000e-03 eta: 14:08:47 time: 0.208 data_time: 0.027 memory: 5148 grad_norm: 8.0133 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4628 loss: 1.4628 2022/06/28 07:42:52 - mmengine - INFO - Epoch(train) [49][3600/3757] lr: 1.000e-03 eta: 14:08:41 time: 0.412 data_time: 0.011 memory: 5148 grad_norm: 6.8968 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4315 loss: 1.4315 2022/06/28 07:42:57 - mmengine - INFO - Epoch(train) [49][3620/3757] lr: 1.000e-03 eta: 14:08:36 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 7.1354 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4104 loss: 1.4104 2022/06/28 07:43:02 - mmengine - INFO - Epoch(train) [49][3640/3757] lr: 1.000e-03 eta: 14:08:31 time: 0.212 data_time: 0.019 memory: 5148 grad_norm: 6.1489 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1929 loss: 1.1929 2022/06/28 07:43:08 - mmengine - INFO - Epoch(train) [49][3660/3757] lr: 1.000e-03 eta: 14:08:26 time: 0.210 data_time: 0.006 memory: 5148 grad_norm: 6.2702 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5327 loss: 1.5327 2022/06/28 07:43:09 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 07:43:14 - mmengine - INFO - Epoch(train) [49][3680/3757] lr: 1.000e-03 eta: 14:08:21 time: 0.234 data_time: 0.040 memory: 5148 grad_norm: 7.6196 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5716 loss: 1.5716 2022/06/28 07:43:18 - mmengine - INFO - Epoch(train) [49][3700/3757] lr: 1.000e-03 eta: 14:08:14 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 7.3321 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0278 loss: 1.0278 2022/06/28 07:43:23 - mmengine - INFO - Epoch(train) [49][3720/3757] lr: 1.000e-03 eta: 14:08:09 time: 0.211 data_time: 0.011 memory: 5148 grad_norm: 6.3036 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3610 loss: 1.3610 2022/06/28 07:43:29 - mmengine - INFO - Epoch(train) [49][3740/3757] lr: 1.000e-03 eta: 14:08:04 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.6589 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3769 loss: 1.3769 2022/06/28 07:43:32 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 07:43:39 - mmengine - INFO - Epoch(val) [49][20/310] eta: 0:01:08 time: 0.182 data_time: 0.110 memory: 5148 2022/06/28 07:43:43 - mmengine - INFO - Epoch(val) [49][40/310] eta: 0:00:59 time: 0.079 data_time: 0.008 memory: 1367 2022/06/28 07:43:49 - mmengine - INFO - Epoch(val) [49][60/310] eta: 0:00:55 time: 0.175 data_time: 0.104 memory: 1367 2022/06/28 07:43:54 - mmengine - INFO - Epoch(val) [49][80/310] eta: 0:01:00 time: 0.081 data_time: 0.009 memory: 1367 2022/06/28 07:44:00 - mmengine - INFO - Epoch(val) [49][100/310] eta: 0:00:50 time: 0.178 data_time: 0.106 memory: 1367 2022/06/28 07:44:04 - mmengine - INFO - Epoch(val) [49][120/310] eta: 0:00:42 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 07:44:11 - mmengine - INFO - Epoch(val) [49][140/310] eta: 0:00:53 time: 0.875 data_time: 0.804 memory: 1367 2022/06/28 07:44:16 - mmengine - INFO - Epoch(val) [49][160/310] eta: 0:00:34 time: 0.083 data_time: 0.005 memory: 1367 2022/06/28 07:44:22 - mmengine - INFO - Epoch(val) [49][180/310] eta: 0:00:50 time: 1.353 data_time: 1.271 memory: 1367 2022/06/28 07:44:26 - mmengine - INFO - Epoch(val) [49][200/310] eta: 0:00:25 time: 0.083 data_time: 0.005 memory: 1367 2022/06/28 07:44:32 - mmengine - INFO - Epoch(val) [49][220/310] eta: 0:00:31 time: 0.337 data_time: 0.257 memory: 1367 2022/06/28 07:44:37 - mmengine - INFO - Epoch(val) [49][240/310] eta: 0:00:15 time: 0.081 data_time: 0.005 memory: 1367 2022/06/28 07:44:42 - mmengine - INFO - Epoch(val) [49][260/310] eta: 0:00:17 time: 0.130 data_time: 0.060 memory: 1367 2022/06/28 07:44:47 - mmengine - INFO - Epoch(val) [49][280/310] eta: 0:00:07 time: 0.075 data_time: 0.005 memory: 1367 2022/06/28 07:44:53 - mmengine - INFO - Epoch(val) [49][300/310] eta: 0:00:03 time: 0.443 data_time: 0.366 memory: 1367 2022/06/28 07:44:56 - mmengine - INFO - Epoch(val) [49][310/310] acc/top1: 0.6418 acc/top5: 0.8533 acc/mean1: 0.6417 2022/06/28 07:45:05 - mmengine - INFO - Epoch(train) [50][20/3757] lr: 1.000e-03 eta: 14:07:55 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 4.7169 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8735 loss: 1.8735 2022/06/28 07:45:10 - mmengine - INFO - Epoch(train) [50][40/3757] lr: 1.000e-03 eta: 14:07:50 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.0747 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5856 loss: 1.5856 2022/06/28 07:45:16 - mmengine - INFO - Epoch(train) [50][60/3757] lr: 1.000e-03 eta: 14:07:45 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 7.0992 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7806 loss: 1.7806 2022/06/28 07:45:21 - mmengine - INFO - Epoch(train) [50][80/3757] lr: 1.000e-03 eta: 14:07:39 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 6.2936 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4175 loss: 1.4175 2022/06/28 07:45:27 - mmengine - INFO - Epoch(train) [50][100/3757] lr: 1.000e-03 eta: 14:07:34 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 6.0209 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5289 loss: 1.5289 2022/06/28 07:45:32 - mmengine - INFO - Epoch(train) [50][120/3757] lr: 1.000e-03 eta: 14:07:29 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.1950 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7512 loss: 1.7512 2022/06/28 07:45:37 - mmengine - INFO - Epoch(train) [50][140/3757] lr: 1.000e-03 eta: 14:07:24 time: 0.190 data_time: 0.008 memory: 5148 grad_norm: 4.6181 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2103 loss: 1.2103 2022/06/28 07:45:43 - mmengine - INFO - Epoch(train) [50][160/3757] lr: 1.000e-03 eta: 14:07:19 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.7496 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4517 loss: 1.4517 2022/06/28 07:45:48 - mmengine - INFO - Epoch(train) [50][180/3757] lr: 1.000e-03 eta: 14:07:13 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.2579 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4694 loss: 1.4694 2022/06/28 07:45:53 - mmengine - INFO - Epoch(train) [50][200/3757] lr: 1.000e-03 eta: 14:07:08 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 6.8570 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5167 loss: 1.5167 2022/06/28 07:45:59 - mmengine - INFO - Epoch(train) [50][220/3757] lr: 1.000e-03 eta: 14:07:03 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 6.9830 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6244 loss: 1.6244 2022/06/28 07:46:04 - mmengine - INFO - Epoch(train) [50][240/3757] lr: 1.000e-03 eta: 14:06:57 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 5.8675 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1033 loss: 1.1033 2022/06/28 07:46:10 - mmengine - INFO - Epoch(train) [50][260/3757] lr: 1.000e-03 eta: 14:06:52 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 7.0489 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5324 loss: 1.5324 2022/06/28 07:46:15 - mmengine - INFO - Epoch(train) [50][280/3757] lr: 1.000e-03 eta: 14:06:47 time: 0.277 data_time: 0.007 memory: 5148 grad_norm: 5.8780 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3897 loss: 1.3897 2022/06/28 07:46:20 - mmengine - INFO - Epoch(train) [50][300/3757] lr: 1.000e-03 eta: 14:06:41 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 5.3694 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3732 loss: 1.3732 2022/06/28 07:46:26 - mmengine - INFO - Epoch(train) [50][320/3757] lr: 1.000e-03 eta: 14:06:37 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.4710 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2987 loss: 1.2987 2022/06/28 07:46:32 - mmengine - INFO - Epoch(train) [50][340/3757] lr: 1.000e-03 eta: 14:06:32 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 5.6401 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.3623 loss: 1.3623 2022/06/28 07:46:37 - mmengine - INFO - Epoch(train) [50][360/3757] lr: 1.000e-03 eta: 14:06:26 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 6.6556 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6285 loss: 1.6285 2022/06/28 07:46:42 - mmengine - INFO - Epoch(train) [50][380/3757] lr: 1.000e-03 eta: 14:06:20 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 6.0825 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5360 loss: 1.5360 2022/06/28 07:46:47 - mmengine - INFO - Epoch(train) [50][400/3757] lr: 1.000e-03 eta: 14:06:16 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 5.5068 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6393 loss: 1.6393 2022/06/28 07:46:52 - mmengine - INFO - Epoch(train) [50][420/3757] lr: 1.000e-03 eta: 14:06:10 time: 0.200 data_time: 0.015 memory: 5148 grad_norm: 6.5520 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.6916 loss: 1.6916 2022/06/28 07:46:58 - mmengine - INFO - Epoch(train) [50][440/3757] lr: 1.000e-03 eta: 14:06:05 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 6.7144 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5712 loss: 1.5712 2022/06/28 07:47:03 - mmengine - INFO - Epoch(train) [50][460/3757] lr: 1.000e-03 eta: 14:05:59 time: 0.652 data_time: 0.008 memory: 5148 grad_norm: 6.8752 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4015 loss: 1.4015 2022/06/28 07:47:07 - mmengine - INFO - Epoch(train) [50][480/3757] lr: 1.000e-03 eta: 14:05:53 time: 0.205 data_time: 0.013 memory: 5148 grad_norm: 5.5280 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1228 loss: 1.1228 2022/06/28 07:47:13 - mmengine - INFO - Epoch(train) [50][500/3757] lr: 1.000e-03 eta: 14:05:48 time: 0.210 data_time: 0.022 memory: 5148 grad_norm: 7.0140 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7340 loss: 1.7340 2022/06/28 07:47:18 - mmengine - INFO - Epoch(train) [50][520/3757] lr: 1.000e-03 eta: 14:05:43 time: 0.407 data_time: 0.007 memory: 5148 grad_norm: 6.5313 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2224 loss: 1.2224 2022/06/28 07:47:24 - mmengine - INFO - Epoch(train) [50][540/3757] lr: 1.000e-03 eta: 14:05:37 time: 0.200 data_time: 0.013 memory: 5148 grad_norm: 7.1603 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3472 loss: 1.3472 2022/06/28 07:47:30 - mmengine - INFO - Epoch(train) [50][560/3757] lr: 1.000e-03 eta: 14:05:33 time: 0.666 data_time: 0.012 memory: 5148 grad_norm: 5.9583 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5351 loss: 1.5351 2022/06/28 07:47:35 - mmengine - INFO - Epoch(train) [50][580/3757] lr: 1.000e-03 eta: 14:05:27 time: 0.237 data_time: 0.008 memory: 5148 grad_norm: 6.2235 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2799 loss: 1.2799 2022/06/28 07:47:40 - mmengine - INFO - Epoch(train) [50][600/3757] lr: 1.000e-03 eta: 14:05:22 time: 0.199 data_time: 0.017 memory: 5148 grad_norm: 6.7472 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4008 loss: 1.4008 2022/06/28 07:47:46 - mmengine - INFO - Epoch(train) [50][620/3757] lr: 1.000e-03 eta: 14:05:17 time: 0.589 data_time: 0.020 memory: 5148 grad_norm: 5.8408 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3011 loss: 1.3011 2022/06/28 07:47:51 - mmengine - INFO - Epoch(train) [50][640/3757] lr: 1.000e-03 eta: 14:05:11 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 5.9051 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5304 loss: 1.5304 2022/06/28 07:47:56 - mmengine - INFO - Epoch(train) [50][660/3757] lr: 1.000e-03 eta: 14:05:06 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.0594 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6665 loss: 1.6665 2022/06/28 07:48:02 - mmengine - INFO - Epoch(train) [50][680/3757] lr: 1.000e-03 eta: 14:05:01 time: 0.228 data_time: 0.030 memory: 5148 grad_norm: 6.6215 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6570 loss: 1.6570 2022/06/28 07:48:07 - mmengine - INFO - Epoch(train) [50][700/3757] lr: 1.000e-03 eta: 14:04:56 time: 0.209 data_time: 0.006 memory: 5148 grad_norm: 6.2669 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3180 loss: 1.3180 2022/06/28 07:48:13 - mmengine - INFO - Epoch(train) [50][720/3757] lr: 1.000e-03 eta: 14:04:51 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.6418 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3291 loss: 1.3291 2022/06/28 07:48:18 - mmengine - INFO - Epoch(train) [50][740/3757] lr: 1.000e-03 eta: 14:04:45 time: 0.302 data_time: 0.016 memory: 5148 grad_norm: 7.1243 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6418 loss: 1.6418 2022/06/28 07:48:23 - mmengine - INFO - Epoch(train) [50][760/3757] lr: 1.000e-03 eta: 14:04:40 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 7.0214 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.5614 loss: 1.5614 2022/06/28 07:48:28 - mmengine - INFO - Epoch(train) [50][780/3757] lr: 1.000e-03 eta: 14:04:34 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 7.8122 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6960 loss: 1.6960 2022/06/28 07:48:34 - mmengine - INFO - Epoch(train) [50][800/3757] lr: 1.000e-03 eta: 14:04:29 time: 0.225 data_time: 0.014 memory: 5148 grad_norm: 6.9119 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5150 loss: 1.5150 2022/06/28 07:48:39 - mmengine - INFO - Epoch(train) [50][820/3757] lr: 1.000e-03 eta: 14:04:24 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 6.1698 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2439 loss: 1.2439 2022/06/28 07:48:45 - mmengine - INFO - Epoch(train) [50][840/3757] lr: 1.000e-03 eta: 14:04:19 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.2934 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4301 loss: 1.4301 2022/06/28 07:48:50 - mmengine - INFO - Epoch(train) [50][860/3757] lr: 1.000e-03 eta: 14:04:14 time: 0.237 data_time: 0.007 memory: 5148 grad_norm: 4.6139 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6245 loss: 1.6245 2022/06/28 07:48:55 - mmengine - INFO - Epoch(train) [50][880/3757] lr: 1.000e-03 eta: 14:04:08 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 6.2971 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3459 loss: 1.3459 2022/06/28 07:49:00 - mmengine - INFO - Epoch(train) [50][900/3757] lr: 1.000e-03 eta: 14:04:03 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.6248 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5445 loss: 1.5445 2022/06/28 07:49:02 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 07:49:06 - mmengine - INFO - Epoch(train) [50][920/3757] lr: 1.000e-03 eta: 14:03:57 time: 0.220 data_time: 0.010 memory: 5148 grad_norm: 6.7526 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2796 loss: 1.2796 2022/06/28 07:49:11 - mmengine - INFO - Epoch(train) [50][940/3757] lr: 1.000e-03 eta: 14:03:52 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.5327 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4564 loss: 1.4564 2022/06/28 07:49:17 - mmengine - INFO - Epoch(train) [50][960/3757] lr: 1.000e-03 eta: 14:03:47 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 6.3111 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6513 loss: 1.6513 2022/06/28 07:49:22 - mmengine - INFO - Epoch(train) [50][980/3757] lr: 1.000e-03 eta: 14:03:42 time: 0.227 data_time: 0.034 memory: 5148 grad_norm: 6.7763 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4017 loss: 1.4017 2022/06/28 07:49:27 - mmengine - INFO - Epoch(train) [50][1000/3757] lr: 1.000e-03 eta: 14:03:36 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.7663 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8016 loss: 1.8016 2022/06/28 07:49:32 - mmengine - INFO - Epoch(train) [50][1020/3757] lr: 1.000e-03 eta: 14:03:31 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 7.5941 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4928 loss: 1.4928 2022/06/28 07:49:38 - mmengine - INFO - Epoch(train) [50][1040/3757] lr: 1.000e-03 eta: 14:03:26 time: 0.232 data_time: 0.010 memory: 5148 grad_norm: 5.0150 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5038 loss: 1.5038 2022/06/28 07:49:42 - mmengine - INFO - Epoch(train) [50][1060/3757] lr: 1.000e-03 eta: 14:03:20 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 6.6214 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4936 loss: 1.4936 2022/06/28 07:49:47 - mmengine - INFO - Epoch(train) [50][1080/3757] lr: 1.000e-03 eta: 14:03:14 time: 0.195 data_time: 0.015 memory: 5148 grad_norm: 6.5269 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6445 loss: 1.6445 2022/06/28 07:49:54 - mmengine - INFO - Epoch(train) [50][1100/3757] lr: 1.000e-03 eta: 14:03:10 time: 0.428 data_time: 0.007 memory: 5148 grad_norm: 7.5880 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4722 loss: 1.4722 2022/06/28 07:49:59 - mmengine - INFO - Epoch(train) [50][1120/3757] lr: 1.000e-03 eta: 14:03:04 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 7.8318 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3789 loss: 1.3789 2022/06/28 07:50:05 - mmengine - INFO - Epoch(train) [50][1140/3757] lr: 1.000e-03 eta: 14:03:00 time: 0.204 data_time: 0.015 memory: 5148 grad_norm: 6.0817 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3714 loss: 1.3714 2022/06/28 07:50:10 - mmengine - INFO - Epoch(train) [50][1160/3757] lr: 1.000e-03 eta: 14:02:55 time: 1.205 data_time: 0.007 memory: 5148 grad_norm: 5.6879 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3545 loss: 1.3545 2022/06/28 07:50:16 - mmengine - INFO - Epoch(train) [50][1180/3757] lr: 1.000e-03 eta: 14:02:49 time: 0.207 data_time: 0.013 memory: 5148 grad_norm: 6.6384 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2794 loss: 1.2794 2022/06/28 07:50:20 - mmengine - INFO - Epoch(train) [50][1200/3757] lr: 1.000e-03 eta: 14:02:43 time: 0.194 data_time: 0.014 memory: 5148 grad_norm: 7.1683 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9271 loss: 1.9271 2022/06/28 07:50:26 - mmengine - INFO - Epoch(train) [50][1220/3757] lr: 1.000e-03 eta: 14:02:38 time: 0.942 data_time: 0.013 memory: 5148 grad_norm: 7.0533 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2739 loss: 1.2739 2022/06/28 07:50:31 - mmengine - INFO - Epoch(train) [50][1240/3757] lr: 1.000e-03 eta: 14:02:32 time: 0.202 data_time: 0.014 memory: 5148 grad_norm: 5.8159 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1645 loss: 1.1645 2022/06/28 07:50:36 - mmengine - INFO - Epoch(train) [50][1260/3757] lr: 1.000e-03 eta: 14:02:27 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 6.1581 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7271 loss: 1.7271 2022/06/28 07:50:42 - mmengine - INFO - Epoch(train) [50][1280/3757] lr: 1.000e-03 eta: 14:02:22 time: 1.064 data_time: 0.007 memory: 5148 grad_norm: 6.7619 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3605 loss: 1.3605 2022/06/28 07:50:47 - mmengine - INFO - Epoch(train) [50][1300/3757] lr: 1.000e-03 eta: 14:02:16 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 5.6182 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6905 loss: 1.6905 2022/06/28 07:50:53 - mmengine - INFO - Epoch(train) [50][1320/3757] lr: 1.000e-03 eta: 14:02:12 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 7.0886 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5458 loss: 1.5458 2022/06/28 07:50:58 - mmengine - INFO - Epoch(train) [50][1340/3757] lr: 1.000e-03 eta: 14:02:06 time: 0.219 data_time: 0.007 memory: 5148 grad_norm: 6.2990 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8826 loss: 1.8826 2022/06/28 07:51:02 - mmengine - INFO - Epoch(train) [50][1360/3757] lr: 1.000e-03 eta: 14:02:00 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 7.0825 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8837 loss: 1.8837 2022/06/28 07:51:08 - mmengine - INFO - Epoch(train) [50][1380/3757] lr: 1.000e-03 eta: 14:01:55 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.7609 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2027 loss: 1.2027 2022/06/28 07:51:14 - mmengine - INFO - Epoch(train) [50][1400/3757] lr: 1.000e-03 eta: 14:01:51 time: 1.090 data_time: 0.007 memory: 5148 grad_norm: 7.1676 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4665 loss: 1.4665 2022/06/28 07:51:19 - mmengine - INFO - Epoch(train) [50][1420/3757] lr: 1.000e-03 eta: 14:01:45 time: 0.203 data_time: 0.009 memory: 5148 grad_norm: 7.5057 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6819 loss: 1.6819 2022/06/28 07:51:24 - mmengine - INFO - Epoch(train) [50][1440/3757] lr: 1.000e-03 eta: 14:01:39 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 7.7211 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3044 loss: 1.3044 2022/06/28 07:51:30 - mmengine - INFO - Epoch(train) [50][1460/3757] lr: 1.000e-03 eta: 14:01:34 time: 0.705 data_time: 0.010 memory: 5148 grad_norm: 6.5990 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4175 loss: 1.4175 2022/06/28 07:51:35 - mmengine - INFO - Epoch(train) [50][1480/3757] lr: 1.000e-03 eta: 14:01:28 time: 0.328 data_time: 0.009 memory: 5148 grad_norm: 6.6496 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5548 loss: 1.5548 2022/06/28 07:51:40 - mmengine - INFO - Epoch(train) [50][1500/3757] lr: 1.000e-03 eta: 14:01:23 time: 0.191 data_time: 0.011 memory: 5148 grad_norm: 6.3743 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3168 loss: 1.3168 2022/06/28 07:51:46 - mmengine - INFO - Epoch(train) [50][1520/3757] lr: 1.000e-03 eta: 14:01:18 time: 1.132 data_time: 0.012 memory: 5148 grad_norm: 7.7385 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5720 loss: 1.5720 2022/06/28 07:51:51 - mmengine - INFO - Epoch(train) [50][1540/3757] lr: 1.000e-03 eta: 14:01:13 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.0962 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0219 loss: 1.0219 2022/06/28 07:51:56 - mmengine - INFO - Epoch(train) [50][1560/3757] lr: 1.000e-03 eta: 14:01:07 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 6.6753 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6359 loss: 1.6359 2022/06/28 07:52:01 - mmengine - INFO - Epoch(train) [50][1580/3757] lr: 1.000e-03 eta: 14:01:02 time: 0.694 data_time: 0.010 memory: 5148 grad_norm: 6.6955 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1589 loss: 1.1589 2022/06/28 07:52:06 - mmengine - INFO - Epoch(train) [50][1600/3757] lr: 1.000e-03 eta: 14:00:57 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 6.9080 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6721 loss: 1.6721 2022/06/28 07:52:12 - mmengine - INFO - Epoch(train) [50][1620/3757] lr: 1.000e-03 eta: 14:00:51 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 7.3097 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3487 loss: 1.3487 2022/06/28 07:52:17 - mmengine - INFO - Epoch(train) [50][1640/3757] lr: 1.000e-03 eta: 14:00:46 time: 0.215 data_time: 0.006 memory: 5148 grad_norm: 7.1117 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4940 loss: 1.4940 2022/06/28 07:52:22 - mmengine - INFO - Epoch(train) [50][1660/3757] lr: 1.000e-03 eta: 14:00:41 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 5.2189 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5795 loss: 1.5795 2022/06/28 07:52:28 - mmengine - INFO - Epoch(train) [50][1680/3757] lr: 1.000e-03 eta: 14:00:35 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 7.0106 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8953 loss: 1.8953 2022/06/28 07:52:33 - mmengine - INFO - Epoch(train) [50][1700/3757] lr: 1.000e-03 eta: 14:00:30 time: 0.796 data_time: 0.031 memory: 5148 grad_norm: 6.8551 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3694 loss: 1.3694 2022/06/28 07:52:38 - mmengine - INFO - Epoch(train) [50][1720/3757] lr: 1.000e-03 eta: 14:00:25 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.4954 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7992 loss: 1.7992 2022/06/28 07:52:44 - mmengine - INFO - Epoch(train) [50][1740/3757] lr: 1.000e-03 eta: 14:00:19 time: 0.196 data_time: 0.015 memory: 5148 grad_norm: 6.0639 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5368 loss: 1.5368 2022/06/28 07:52:49 - mmengine - INFO - Epoch(train) [50][1760/3757] lr: 1.000e-03 eta: 14:00:14 time: 0.205 data_time: 0.014 memory: 5148 grad_norm: 5.6175 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5317 loss: 1.5317 2022/06/28 07:52:56 - mmengine - INFO - Epoch(train) [50][1780/3757] lr: 1.000e-03 eta: 14:00:10 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 5.6326 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1912 loss: 1.1912 2022/06/28 07:53:00 - mmengine - INFO - Epoch(train) [50][1800/3757] lr: 1.000e-03 eta: 14:00:03 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 7.6204 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2673 loss: 1.2673 2022/06/28 07:53:05 - mmengine - INFO - Epoch(train) [50][1820/3757] lr: 1.000e-03 eta: 13:59:58 time: 0.341 data_time: 0.007 memory: 5148 grad_norm: 6.8037 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5376 loss: 1.5376 2022/06/28 07:53:10 - mmengine - INFO - Epoch(train) [50][1840/3757] lr: 1.000e-03 eta: 13:59:52 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 7.1707 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4941 loss: 1.4941 2022/06/28 07:53:16 - mmengine - INFO - Epoch(train) [50][1860/3757] lr: 1.000e-03 eta: 13:59:48 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.2305 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0860 loss: 1.0860 2022/06/28 07:53:21 - mmengine - INFO - Epoch(train) [50][1880/3757] lr: 1.000e-03 eta: 13:59:43 time: 0.228 data_time: 0.008 memory: 5148 grad_norm: 7.2993 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3618 loss: 1.3618 2022/06/28 07:53:26 - mmengine - INFO - Epoch(train) [50][1900/3757] lr: 1.000e-03 eta: 13:59:37 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 6.1222 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3719 loss: 1.3719 2022/06/28 07:53:28 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 07:53:32 - mmengine - INFO - Epoch(train) [50][1920/3757] lr: 1.000e-03 eta: 13:59:32 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.4063 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5744 loss: 1.5744 2022/06/28 07:53:38 - mmengine - INFO - Epoch(train) [50][1940/3757] lr: 1.000e-03 eta: 13:59:27 time: 0.258 data_time: 0.008 memory: 5148 grad_norm: 7.1420 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3395 loss: 1.3395 2022/06/28 07:53:43 - mmengine - INFO - Epoch(train) [50][1960/3757] lr: 1.000e-03 eta: 13:59:21 time: 0.194 data_time: 0.011 memory: 5148 grad_norm: 7.2907 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4011 loss: 1.4011 2022/06/28 07:53:48 - mmengine - INFO - Epoch(train) [50][1980/3757] lr: 1.000e-03 eta: 13:59:16 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 7.2646 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4429 loss: 1.4429 2022/06/28 07:53:53 - mmengine - INFO - Epoch(train) [50][2000/3757] lr: 1.000e-03 eta: 13:59:10 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 5.8511 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7359 loss: 1.7359 2022/06/28 07:53:58 - mmengine - INFO - Epoch(train) [50][2020/3757] lr: 1.000e-03 eta: 13:59:05 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.4421 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4089 loss: 1.4089 2022/06/28 07:54:03 - mmengine - INFO - Epoch(train) [50][2040/3757] lr: 1.000e-03 eta: 13:58:59 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 5.0978 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3215 loss: 1.3215 2022/06/28 07:54:09 - mmengine - INFO - Epoch(train) [50][2060/3757] lr: 1.000e-03 eta: 13:58:54 time: 0.226 data_time: 0.006 memory: 5148 grad_norm: 6.3075 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3442 loss: 1.3442 2022/06/28 07:54:13 - mmengine - INFO - Epoch(train) [50][2080/3757] lr: 1.000e-03 eta: 13:58:48 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.6446 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6337 loss: 1.6337 2022/06/28 07:54:19 - mmengine - INFO - Epoch(train) [50][2100/3757] lr: 1.000e-03 eta: 13:58:43 time: 0.292 data_time: 0.109 memory: 5148 grad_norm: 7.8890 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5896 loss: 1.5896 2022/06/28 07:54:25 - mmengine - INFO - Epoch(train) [50][2120/3757] lr: 1.000e-03 eta: 13:58:38 time: 0.211 data_time: 0.009 memory: 5148 grad_norm: 6.4988 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5974 loss: 1.5974 2022/06/28 07:54:30 - mmengine - INFO - Epoch(train) [50][2140/3757] lr: 1.000e-03 eta: 13:58:32 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 6.6429 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2589 loss: 1.2589 2022/06/28 07:54:36 - mmengine - INFO - Epoch(train) [50][2160/3757] lr: 1.000e-03 eta: 13:58:28 time: 0.201 data_time: 0.023 memory: 5148 grad_norm: 6.5775 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2122 loss: 1.2122 2022/06/28 07:54:41 - mmengine - INFO - Epoch(train) [50][2180/3757] lr: 1.000e-03 eta: 13:58:23 time: 0.665 data_time: 0.008 memory: 5148 grad_norm: 5.8261 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4066 loss: 1.4066 2022/06/28 07:54:46 - mmengine - INFO - Epoch(train) [50][2200/3757] lr: 1.000e-03 eta: 13:58:17 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 6.1871 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6879 loss: 1.6879 2022/06/28 07:54:52 - mmengine - INFO - Epoch(train) [50][2220/3757] lr: 1.000e-03 eta: 13:58:12 time: 0.198 data_time: 0.023 memory: 5148 grad_norm: 7.2516 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4799 loss: 1.4799 2022/06/28 07:54:57 - mmengine - INFO - Epoch(train) [50][2240/3757] lr: 1.000e-03 eta: 13:58:07 time: 0.519 data_time: 0.007 memory: 5148 grad_norm: 7.0072 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2091 loss: 1.2091 2022/06/28 07:55:02 - mmengine - INFO - Epoch(train) [50][2260/3757] lr: 1.000e-03 eta: 13:58:02 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 6.7648 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6228 loss: 1.6228 2022/06/28 07:55:08 - mmengine - INFO - Epoch(train) [50][2280/3757] lr: 1.000e-03 eta: 13:57:57 time: 0.196 data_time: 0.015 memory: 5148 grad_norm: 5.8198 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1532 loss: 1.1532 2022/06/28 07:55:14 - mmengine - INFO - Epoch(train) [50][2300/3757] lr: 1.000e-03 eta: 13:57:52 time: 0.743 data_time: 0.010 memory: 5148 grad_norm: 7.8765 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3784 loss: 1.3784 2022/06/28 07:55:18 - mmengine - INFO - Epoch(train) [50][2320/3757] lr: 1.000e-03 eta: 13:57:46 time: 0.201 data_time: 0.012 memory: 5148 grad_norm: 6.8258 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4825 loss: 1.4825 2022/06/28 07:55:24 - mmengine - INFO - Epoch(train) [50][2340/3757] lr: 1.000e-03 eta: 13:57:41 time: 0.211 data_time: 0.020 memory: 5148 grad_norm: 4.7211 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3026 loss: 1.3026 2022/06/28 07:55:30 - mmengine - INFO - Epoch(train) [50][2360/3757] lr: 1.000e-03 eta: 13:57:36 time: 0.676 data_time: 0.017 memory: 5148 grad_norm: 6.6538 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5911 loss: 1.5911 2022/06/28 07:55:35 - mmengine - INFO - Epoch(train) [50][2380/3757] lr: 1.000e-03 eta: 13:57:30 time: 0.193 data_time: 0.011 memory: 5148 grad_norm: 5.7017 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7332 loss: 1.7332 2022/06/28 07:55:40 - mmengine - INFO - Epoch(train) [50][2400/3757] lr: 1.000e-03 eta: 13:57:25 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 6.8141 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6799 loss: 1.6799 2022/06/28 07:55:45 - mmengine - INFO - Epoch(train) [50][2420/3757] lr: 1.000e-03 eta: 13:57:20 time: 0.419 data_time: 0.006 memory: 5148 grad_norm: 6.7017 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3068 loss: 1.3068 2022/06/28 07:55:50 - mmengine - INFO - Epoch(train) [50][2440/3757] lr: 1.000e-03 eta: 13:57:14 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 7.2924 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6018 loss: 1.6018 2022/06/28 07:55:57 - mmengine - INFO - Epoch(train) [50][2460/3757] lr: 1.000e-03 eta: 13:57:09 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 6.2732 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3734 loss: 1.3734 2022/06/28 07:56:01 - mmengine - INFO - Epoch(train) [50][2480/3757] lr: 1.000e-03 eta: 13:57:03 time: 0.217 data_time: 0.011 memory: 5148 grad_norm: 7.3515 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3306 loss: 1.3306 2022/06/28 07:56:06 - mmengine - INFO - Epoch(train) [50][2500/3757] lr: 1.000e-03 eta: 13:56:57 time: 0.194 data_time: 0.013 memory: 5148 grad_norm: 6.4771 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7313 loss: 1.7313 2022/06/28 07:56:11 - mmengine - INFO - Epoch(train) [50][2520/3757] lr: 1.000e-03 eta: 13:56:52 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 6.5910 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6187 loss: 1.6187 2022/06/28 07:56:17 - mmengine - INFO - Epoch(train) [50][2540/3757] lr: 1.000e-03 eta: 13:56:47 time: 0.712 data_time: 0.010 memory: 5148 grad_norm: 6.6920 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2698 loss: 1.2698 2022/06/28 07:56:22 - mmengine - INFO - Epoch(train) [50][2560/3757] lr: 1.000e-03 eta: 13:56:42 time: 0.207 data_time: 0.017 memory: 5148 grad_norm: 6.4180 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4385 loss: 1.4385 2022/06/28 07:56:28 - mmengine - INFO - Epoch(train) [50][2580/3757] lr: 1.000e-03 eta: 13:56:37 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.8643 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1485 loss: 1.1485 2022/06/28 07:56:33 - mmengine - INFO - Epoch(train) [50][2600/3757] lr: 1.000e-03 eta: 13:56:32 time: 0.291 data_time: 0.013 memory: 5148 grad_norm: 6.6005 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4434 loss: 1.4434 2022/06/28 07:56:38 - mmengine - INFO - Epoch(train) [50][2620/3757] lr: 1.000e-03 eta: 13:56:26 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 7.6411 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8103 loss: 1.8103 2022/06/28 07:56:43 - mmengine - INFO - Epoch(train) [50][2640/3757] lr: 1.000e-03 eta: 13:56:21 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 7.5871 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6684 loss: 1.6684 2022/06/28 07:56:49 - mmengine - INFO - Epoch(train) [50][2660/3757] lr: 1.000e-03 eta: 13:56:16 time: 0.208 data_time: 0.015 memory: 5148 grad_norm: 6.6820 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5759 loss: 1.5759 2022/06/28 07:56:54 - mmengine - INFO - Epoch(train) [50][2680/3757] lr: 1.000e-03 eta: 13:56:10 time: 0.210 data_time: 0.014 memory: 5148 grad_norm: 5.3420 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1773 loss: 1.1773 2022/06/28 07:57:00 - mmengine - INFO - Epoch(train) [50][2700/3757] lr: 1.000e-03 eta: 13:56:05 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 5.0023 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5881 loss: 1.5881 2022/06/28 07:57:05 - mmengine - INFO - Epoch(train) [50][2720/3757] lr: 1.000e-03 eta: 13:56:00 time: 0.215 data_time: 0.016 memory: 5148 grad_norm: 6.8049 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5023 loss: 1.5023 2022/06/28 07:57:10 - mmengine - INFO - Epoch(train) [50][2740/3757] lr: 1.000e-03 eta: 13:55:54 time: 0.212 data_time: 0.013 memory: 5148 grad_norm: 7.6189 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5876 loss: 1.5876 2022/06/28 07:57:16 - mmengine - INFO - Epoch(train) [50][2760/3757] lr: 1.000e-03 eta: 13:55:49 time: 0.203 data_time: 0.013 memory: 5148 grad_norm: 6.9049 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3857 loss: 1.3857 2022/06/28 07:57:21 - mmengine - INFO - Epoch(train) [50][2780/3757] lr: 1.000e-03 eta: 13:55:44 time: 0.216 data_time: 0.011 memory: 5148 grad_norm: 5.8067 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6567 loss: 1.6567 2022/06/28 07:57:26 - mmengine - INFO - Epoch(train) [50][2800/3757] lr: 1.000e-03 eta: 13:55:38 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 6.8038 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0752 loss: 1.0752 2022/06/28 07:57:31 - mmengine - INFO - Epoch(train) [50][2820/3757] lr: 1.000e-03 eta: 13:55:33 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 5.9145 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5822 loss: 1.5822 2022/06/28 07:57:37 - mmengine - INFO - Epoch(train) [50][2840/3757] lr: 1.000e-03 eta: 13:55:28 time: 0.214 data_time: 0.015 memory: 5148 grad_norm: 6.1270 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3801 loss: 1.3801 2022/06/28 07:57:42 - mmengine - INFO - Epoch(train) [50][2860/3757] lr: 1.000e-03 eta: 13:55:22 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 6.9102 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2583 loss: 1.2583 2022/06/28 07:57:48 - mmengine - INFO - Epoch(train) [50][2880/3757] lr: 1.000e-03 eta: 13:55:17 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 6.3884 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4075 loss: 1.4075 2022/06/28 07:57:53 - mmengine - INFO - Epoch(train) [50][2900/3757] lr: 1.000e-03 eta: 13:55:12 time: 0.239 data_time: 0.015 memory: 5148 grad_norm: 7.4372 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5096 loss: 1.5096 2022/06/28 07:57:55 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 07:57:58 - mmengine - INFO - Epoch(train) [50][2920/3757] lr: 1.000e-03 eta: 13:55:06 time: 0.194 data_time: 0.013 memory: 5148 grad_norm: 7.1118 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5838 loss: 1.5838 2022/06/28 07:58:03 - mmengine - INFO - Epoch(train) [50][2940/3757] lr: 1.000e-03 eta: 13:55:01 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 6.3616 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4446 loss: 1.4446 2022/06/28 07:58:09 - mmengine - INFO - Epoch(train) [50][2960/3757] lr: 1.000e-03 eta: 13:54:56 time: 1.082 data_time: 0.007 memory: 5148 grad_norm: 7.0768 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4882 loss: 1.4882 2022/06/28 07:58:14 - mmengine - INFO - Epoch(train) [50][2980/3757] lr: 1.000e-03 eta: 13:54:50 time: 0.196 data_time: 0.015 memory: 5148 grad_norm: 6.6587 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8744 loss: 1.8744 2022/06/28 07:58:20 - mmengine - INFO - Epoch(train) [50][3000/3757] lr: 1.000e-03 eta: 13:54:45 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 8.0180 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4481 loss: 1.4481 2022/06/28 07:58:25 - mmengine - INFO - Epoch(train) [50][3020/3757] lr: 1.000e-03 eta: 13:54:40 time: 0.970 data_time: 0.006 memory: 5148 grad_norm: 6.6811 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2934 loss: 1.2934 2022/06/28 07:58:30 - mmengine - INFO - Epoch(train) [50][3040/3757] lr: 1.000e-03 eta: 13:54:35 time: 0.198 data_time: 0.015 memory: 5148 grad_norm: 6.5001 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3059 loss: 1.3059 2022/06/28 07:58:36 - mmengine - INFO - Epoch(train) [50][3060/3757] lr: 1.000e-03 eta: 13:54:30 time: 0.213 data_time: 0.010 memory: 5148 grad_norm: 5.9137 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5429 loss: 1.5429 2022/06/28 07:58:41 - mmengine - INFO - Epoch(train) [50][3080/3757] lr: 1.000e-03 eta: 13:54:24 time: 0.576 data_time: 0.011 memory: 5148 grad_norm: 6.7161 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6031 loss: 1.6031 2022/06/28 07:58:46 - mmengine - INFO - Epoch(train) [50][3100/3757] lr: 1.000e-03 eta: 13:54:19 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 7.3188 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2523 loss: 1.2523 2022/06/28 07:58:52 - mmengine - INFO - Epoch(train) [50][3120/3757] lr: 1.000e-03 eta: 13:54:14 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 7.0679 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5819 loss: 1.5819 2022/06/28 07:58:57 - mmengine - INFO - Epoch(train) [50][3140/3757] lr: 1.000e-03 eta: 13:54:08 time: 0.241 data_time: 0.010 memory: 5148 grad_norm: 6.4706 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3892 loss: 1.3892 2022/06/28 07:59:02 - mmengine - INFO - Epoch(train) [50][3160/3757] lr: 1.000e-03 eta: 13:54:03 time: 0.225 data_time: 0.007 memory: 5148 grad_norm: 6.9693 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5787 loss: 1.5787 2022/06/28 07:59:08 - mmengine - INFO - Epoch(train) [50][3180/3757] lr: 1.000e-03 eta: 13:53:58 time: 0.213 data_time: 0.013 memory: 5148 grad_norm: 7.1220 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2588 loss: 1.2588 2022/06/28 07:59:12 - mmengine - INFO - Epoch(train) [50][3200/3757] lr: 1.000e-03 eta: 13:53:52 time: 0.377 data_time: 0.010 memory: 5148 grad_norm: 7.0849 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4998 loss: 1.4998 2022/06/28 07:59:18 - mmengine - INFO - Epoch(train) [50][3220/3757] lr: 1.000e-03 eta: 13:53:47 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.5805 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.9699 loss: 1.9699 2022/06/28 07:59:23 - mmengine - INFO - Epoch(train) [50][3240/3757] lr: 1.000e-03 eta: 13:53:41 time: 0.231 data_time: 0.008 memory: 5148 grad_norm: 6.6889 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1689 loss: 1.1689 2022/06/28 07:59:29 - mmengine - INFO - Epoch(train) [50][3260/3757] lr: 1.000e-03 eta: 13:53:37 time: 1.242 data_time: 0.007 memory: 5148 grad_norm: 6.2375 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6444 loss: 1.6444 2022/06/28 07:59:34 - mmengine - INFO - Epoch(train) [50][3280/3757] lr: 1.000e-03 eta: 13:53:31 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 6.3323 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4458 loss: 1.4458 2022/06/28 07:59:39 - mmengine - INFO - Epoch(train) [50][3300/3757] lr: 1.000e-03 eta: 13:53:26 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 5.9597 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7391 loss: 1.7391 2022/06/28 07:59:45 - mmengine - INFO - Epoch(train) [50][3320/3757] lr: 1.000e-03 eta: 13:53:20 time: 0.738 data_time: 0.007 memory: 5148 grad_norm: 6.1380 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3294 loss: 1.3294 2022/06/28 07:59:50 - mmengine - INFO - Epoch(train) [50][3340/3757] lr: 1.000e-03 eta: 13:53:15 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 6.8963 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1718 loss: 1.1718 2022/06/28 07:59:56 - mmengine - INFO - Epoch(train) [50][3360/3757] lr: 1.000e-03 eta: 13:53:10 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 6.8390 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0364 loss: 1.0364 2022/06/28 08:00:02 - mmengine - INFO - Epoch(train) [50][3380/3757] lr: 1.000e-03 eta: 13:53:05 time: 0.894 data_time: 0.009 memory: 5148 grad_norm: 6.5562 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6104 loss: 1.6104 2022/06/28 08:00:06 - mmengine - INFO - Epoch(train) [50][3400/3757] lr: 1.000e-03 eta: 13:52:59 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 6.3831 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8443 loss: 1.8443 2022/06/28 08:00:12 - mmengine - INFO - Epoch(train) [50][3420/3757] lr: 1.000e-03 eta: 13:52:55 time: 0.216 data_time: 0.011 memory: 5148 grad_norm: 5.5209 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6010 loss: 1.6010 2022/06/28 08:00:18 - mmengine - INFO - Epoch(train) [50][3440/3757] lr: 1.000e-03 eta: 13:52:50 time: 0.741 data_time: 0.007 memory: 5148 grad_norm: 7.5302 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6042 loss: 1.6042 2022/06/28 08:00:23 - mmengine - INFO - Epoch(train) [50][3460/3757] lr: 1.000e-03 eta: 13:52:44 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 6.1606 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3922 loss: 1.3922 2022/06/28 08:00:28 - mmengine - INFO - Epoch(train) [50][3480/3757] lr: 1.000e-03 eta: 13:52:39 time: 0.209 data_time: 0.017 memory: 5148 grad_norm: 6.6588 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4502 loss: 1.4502 2022/06/28 08:00:34 - mmengine - INFO - Epoch(train) [50][3500/3757] lr: 1.000e-03 eta: 13:52:34 time: 1.085 data_time: 0.009 memory: 5148 grad_norm: 6.3716 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5590 loss: 1.5590 2022/06/28 08:00:39 - mmengine - INFO - Epoch(train) [50][3520/3757] lr: 1.000e-03 eta: 13:52:28 time: 0.206 data_time: 0.006 memory: 5148 grad_norm: 6.0553 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2829 loss: 1.2829 2022/06/28 08:00:44 - mmengine - INFO - Epoch(train) [50][3540/3757] lr: 1.000e-03 eta: 13:52:23 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 6.4653 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3600 loss: 1.3600 2022/06/28 08:00:50 - mmengine - INFO - Epoch(train) [50][3560/3757] lr: 1.000e-03 eta: 13:52:17 time: 0.578 data_time: 0.010 memory: 5148 grad_norm: 6.0108 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2224 loss: 1.2224 2022/06/28 08:00:55 - mmengine - INFO - Epoch(train) [50][3580/3757] lr: 1.000e-03 eta: 13:52:12 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 6.5782 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2185 loss: 1.2185 2022/06/28 08:01:00 - mmengine - INFO - Epoch(train) [50][3600/3757] lr: 1.000e-03 eta: 13:52:07 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.6501 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6808 loss: 1.6808 2022/06/28 08:01:05 - mmengine - INFO - Epoch(train) [50][3620/3757] lr: 1.000e-03 eta: 13:52:01 time: 0.884 data_time: 0.025 memory: 5148 grad_norm: 7.1736 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8678 loss: 1.8678 2022/06/28 08:01:10 - mmengine - INFO - Epoch(train) [50][3640/3757] lr: 1.000e-03 eta: 13:51:56 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 6.4067 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5174 loss: 1.5174 2022/06/28 08:01:16 - mmengine - INFO - Epoch(train) [50][3660/3757] lr: 1.000e-03 eta: 13:51:51 time: 0.221 data_time: 0.007 memory: 5148 grad_norm: 6.4338 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2334 loss: 1.2334 2022/06/28 08:01:21 - mmengine - INFO - Epoch(train) [50][3680/3757] lr: 1.000e-03 eta: 13:51:45 time: 0.699 data_time: 0.012 memory: 5148 grad_norm: 5.5874 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2854 loss: 1.2854 2022/06/28 08:01:26 - mmengine - INFO - Epoch(train) [50][3700/3757] lr: 1.000e-03 eta: 13:51:40 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 7.7581 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4400 loss: 1.4400 2022/06/28 08:01:32 - mmengine - INFO - Epoch(train) [50][3720/3757] lr: 1.000e-03 eta: 13:51:35 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 7.1767 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2358 loss: 1.2358 2022/06/28 08:01:37 - mmengine - INFO - Epoch(train) [50][3740/3757] lr: 1.000e-03 eta: 13:51:29 time: 0.545 data_time: 0.010 memory: 5148 grad_norm: 6.6994 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3829 loss: 1.3829 2022/06/28 08:01:40 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 08:01:40 - mmengine - INFO - Saving checkpoint at 50 epochs 2022/06/28 08:01:49 - mmengine - INFO - Epoch(val) [50][20/310] eta: 0:01:10 time: 0.087 data_time: 0.015 memory: 5148 2022/06/28 08:01:54 - mmengine - INFO - Epoch(val) [50][40/310] eta: 0:01:03 time: 0.085 data_time: 0.008 memory: 1367 2022/06/28 08:02:00 - mmengine - INFO - Epoch(val) [50][60/310] eta: 0:00:57 time: 0.079 data_time: 0.006 memory: 1367 2022/06/28 08:02:05 - mmengine - INFO - Epoch(val) [50][80/310] eta: 0:00:58 time: 0.169 data_time: 0.096 memory: 1367 2022/06/28 08:02:10 - mmengine - INFO - Epoch(val) [50][100/310] eta: 0:00:48 time: 0.123 data_time: 0.052 memory: 1367 2022/06/28 08:02:16 - mmengine - INFO - Epoch(val) [50][120/310] eta: 0:00:58 time: 0.855 data_time: 0.777 memory: 1367 2022/06/28 08:02:21 - mmengine - INFO - Epoch(val) [50][140/310] eta: 0:00:54 time: 0.781 data_time: 0.707 memory: 1367 2022/06/28 08:02:27 - mmengine - INFO - Epoch(val) [50][160/310] eta: 0:00:42 time: 0.604 data_time: 0.527 memory: 1367 2022/06/28 08:02:32 - mmengine - INFO - Epoch(val) [50][180/310] eta: 0:00:43 time: 0.842 data_time: 0.771 memory: 1367 2022/06/28 08:02:37 - mmengine - INFO - Epoch(val) [50][200/310] eta: 0:00:29 time: 0.455 data_time: 0.379 memory: 1367 2022/06/28 08:02:43 - mmengine - INFO - Epoch(val) [50][220/310] eta: 0:00:31 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 08:02:47 - mmengine - INFO - Epoch(val) [50][240/310] eta: 0:00:16 time: 0.281 data_time: 0.208 memory: 1367 2022/06/28 08:02:53 - mmengine - INFO - Epoch(val) [50][260/310] eta: 0:00:19 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 08:02:58 - mmengine - INFO - Epoch(val) [50][280/310] eta: 0:00:07 time: 0.103 data_time: 0.025 memory: 1367 2022/06/28 08:03:03 - mmengine - INFO - Epoch(val) [50][300/310] eta: 0:00:02 time: 0.081 data_time: 0.005 memory: 1367 2022/06/28 08:03:05 - mmengine - INFO - Epoch(val) [50][310/310] acc/top1: 0.6406 acc/top5: 0.8533 acc/mean1: 0.6406 2022/06/28 08:03:14 - mmengine - INFO - Epoch(train) [51][20/3757] lr: 1.000e-03 eta: 13:51:20 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 6.8164 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2561 loss: 1.2561 2022/06/28 08:03:20 - mmengine - INFO - Epoch(train) [51][40/3757] lr: 1.000e-03 eta: 13:51:16 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 6.0370 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5571 loss: 1.5571 2022/06/28 08:03:25 - mmengine - INFO - Epoch(train) [51][60/3757] lr: 1.000e-03 eta: 13:51:10 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 6.9272 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2378 loss: 1.2378 2022/06/28 08:03:30 - mmengine - INFO - Epoch(train) [51][80/3757] lr: 1.000e-03 eta: 13:51:05 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 8.0630 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7012 loss: 1.7012 2022/06/28 08:03:36 - mmengine - INFO - Epoch(train) [51][100/3757] lr: 1.000e-03 eta: 13:51:00 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 6.5646 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5105 loss: 1.5105 2022/06/28 08:03:41 - mmengine - INFO - Epoch(train) [51][120/3757] lr: 1.000e-03 eta: 13:50:54 time: 0.193 data_time: 0.006 memory: 5148 grad_norm: 6.6746 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4342 loss: 1.4342 2022/06/28 08:03:47 - mmengine - INFO - Epoch(train) [51][140/3757] lr: 1.000e-03 eta: 13:50:49 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 5.2679 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2816 loss: 1.2816 2022/06/28 08:03:49 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 08:03:52 - mmengine - INFO - Epoch(train) [51][160/3757] lr: 1.000e-03 eta: 13:50:44 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 7.9392 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6776 loss: 1.6776 2022/06/28 08:03:57 - mmengine - INFO - Epoch(train) [51][180/3757] lr: 1.000e-03 eta: 13:50:38 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 6.9559 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4240 loss: 1.4240 2022/06/28 08:04:03 - mmengine - INFO - Epoch(train) [51][200/3757] lr: 1.000e-03 eta: 13:50:33 time: 0.191 data_time: 0.011 memory: 5148 grad_norm: 7.0379 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3202 loss: 1.3202 2022/06/28 08:04:08 - mmengine - INFO - Epoch(train) [51][220/3757] lr: 1.000e-03 eta: 13:50:28 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 6.6470 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.6015 loss: 1.6015 2022/06/28 08:04:13 - mmengine - INFO - Epoch(train) [51][240/3757] lr: 1.000e-03 eta: 13:50:22 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 6.8228 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4518 loss: 1.4518 2022/06/28 08:04:19 - mmengine - INFO - Epoch(train) [51][260/3757] lr: 1.000e-03 eta: 13:50:17 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 6.7047 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5565 loss: 1.5565 2022/06/28 08:04:24 - mmengine - INFO - Epoch(train) [51][280/3757] lr: 1.000e-03 eta: 13:50:12 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 6.8159 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8357 loss: 1.8357 2022/06/28 08:04:29 - mmengine - INFO - Epoch(train) [51][300/3757] lr: 1.000e-03 eta: 13:50:06 time: 0.194 data_time: 0.009 memory: 5148 grad_norm: 5.8681 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5309 loss: 1.5309 2022/06/28 08:04:35 - mmengine - INFO - Epoch(train) [51][320/3757] lr: 1.000e-03 eta: 13:50:02 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 7.1627 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6454 loss: 1.6454 2022/06/28 08:04:41 - mmengine - INFO - Epoch(train) [51][340/3757] lr: 1.000e-03 eta: 13:49:57 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.7657 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8041 loss: 1.8041 2022/06/28 08:04:46 - mmengine - INFO - Epoch(train) [51][360/3757] lr: 1.000e-03 eta: 13:49:51 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 7.3892 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1102 loss: 1.1102 2022/06/28 08:04:51 - mmengine - INFO - Epoch(train) [51][380/3757] lr: 1.000e-03 eta: 13:49:46 time: 0.221 data_time: 0.011 memory: 5148 grad_norm: 6.1197 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8153 loss: 1.8153 2022/06/28 08:04:57 - mmengine - INFO - Epoch(train) [51][400/3757] lr: 1.000e-03 eta: 13:49:41 time: 0.199 data_time: 0.012 memory: 5148 grad_norm: 6.3343 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4227 loss: 1.4227 2022/06/28 08:05:01 - mmengine - INFO - Epoch(train) [51][420/3757] lr: 1.000e-03 eta: 13:49:35 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 4.9737 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8707 loss: 1.8707 2022/06/28 08:05:07 - mmengine - INFO - Epoch(train) [51][440/3757] lr: 1.000e-03 eta: 13:49:30 time: 0.202 data_time: 0.013 memory: 5148 grad_norm: 6.5706 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5938 loss: 1.5938 2022/06/28 08:05:12 - mmengine - INFO - Epoch(train) [51][460/3757] lr: 1.000e-03 eta: 13:49:25 time: 0.217 data_time: 0.017 memory: 5148 grad_norm: 6.1778 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7142 loss: 1.7142 2022/06/28 08:05:17 - mmengine - INFO - Epoch(train) [51][480/3757] lr: 1.000e-03 eta: 13:49:19 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 7.5630 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6812 loss: 1.6812 2022/06/28 08:05:22 - mmengine - INFO - Epoch(train) [51][500/3757] lr: 1.000e-03 eta: 13:49:13 time: 0.209 data_time: 0.015 memory: 5148 grad_norm: 6.9370 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3836 loss: 1.3836 2022/06/28 08:05:28 - mmengine - INFO - Epoch(train) [51][520/3757] lr: 1.000e-03 eta: 13:49:08 time: 0.221 data_time: 0.026 memory: 5148 grad_norm: 6.4685 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1308 loss: 1.1308 2022/06/28 08:05:33 - mmengine - INFO - Epoch(train) [51][540/3757] lr: 1.000e-03 eta: 13:49:03 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 6.2048 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9564 loss: 1.9564 2022/06/28 08:05:38 - mmengine - INFO - Epoch(train) [51][560/3757] lr: 1.000e-03 eta: 13:48:58 time: 0.196 data_time: 0.013 memory: 5148 grad_norm: 6.9388 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5665 loss: 1.5665 2022/06/28 08:05:44 - mmengine - INFO - Epoch(train) [51][580/3757] lr: 1.000e-03 eta: 13:48:53 time: 0.779 data_time: 0.026 memory: 5148 grad_norm: 7.7302 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7215 loss: 1.7215 2022/06/28 08:05:49 - mmengine - INFO - Epoch(train) [51][600/3757] lr: 1.000e-03 eta: 13:48:47 time: 0.209 data_time: 0.024 memory: 5148 grad_norm: 6.4188 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6901 loss: 1.6901 2022/06/28 08:05:55 - mmengine - INFO - Epoch(train) [51][620/3757] lr: 1.000e-03 eta: 13:48:42 time: 0.206 data_time: 0.015 memory: 5148 grad_norm: 5.8132 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4269 loss: 1.4269 2022/06/28 08:06:00 - mmengine - INFO - Epoch(train) [51][640/3757] lr: 1.000e-03 eta: 13:48:37 time: 0.463 data_time: 0.011 memory: 5148 grad_norm: 6.1214 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3225 loss: 1.3225 2022/06/28 08:06:05 - mmengine - INFO - Epoch(train) [51][660/3757] lr: 1.000e-03 eta: 13:48:31 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 7.3085 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6889 loss: 1.6889 2022/06/28 08:06:11 - mmengine - INFO - Epoch(train) [51][680/3757] lr: 1.000e-03 eta: 13:48:26 time: 0.260 data_time: 0.007 memory: 5148 grad_norm: 6.8930 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4253 loss: 1.4253 2022/06/28 08:06:17 - mmengine - INFO - Epoch(train) [51][700/3757] lr: 1.000e-03 eta: 13:48:22 time: 1.024 data_time: 0.007 memory: 5148 grad_norm: 7.0651 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6082 loss: 1.6082 2022/06/28 08:06:21 - mmengine - INFO - Epoch(train) [51][720/3757] lr: 1.000e-03 eta: 13:48:15 time: 0.227 data_time: 0.007 memory: 5148 grad_norm: 6.1029 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2813 loss: 1.2813 2022/06/28 08:06:27 - mmengine - INFO - Epoch(train) [51][740/3757] lr: 1.000e-03 eta: 13:48:11 time: 0.194 data_time: 0.011 memory: 5148 grad_norm: 5.8493 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5038 loss: 1.5038 2022/06/28 08:06:32 - mmengine - INFO - Epoch(train) [51][760/3757] lr: 1.000e-03 eta: 13:48:04 time: 0.319 data_time: 0.011 memory: 5148 grad_norm: 6.6226 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5023 loss: 1.5023 2022/06/28 08:06:37 - mmengine - INFO - Epoch(train) [51][780/3757] lr: 1.000e-03 eta: 13:47:59 time: 0.196 data_time: 0.006 memory: 5148 grad_norm: 6.1552 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2551 loss: 1.2551 2022/06/28 08:06:42 - mmengine - INFO - Epoch(train) [51][800/3757] lr: 1.000e-03 eta: 13:47:54 time: 0.213 data_time: 0.013 memory: 5148 grad_norm: 7.7602 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4574 loss: 1.4574 2022/06/28 08:06:48 - mmengine - INFO - Epoch(train) [51][820/3757] lr: 1.000e-03 eta: 13:47:49 time: 0.208 data_time: 0.011 memory: 5148 grad_norm: 6.3348 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5305 loss: 1.5305 2022/06/28 08:06:53 - mmengine - INFO - Epoch(train) [51][840/3757] lr: 1.000e-03 eta: 13:47:43 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 6.1801 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9844 loss: 1.9844 2022/06/28 08:06:58 - mmengine - INFO - Epoch(train) [51][860/3757] lr: 1.000e-03 eta: 13:47:38 time: 0.201 data_time: 0.013 memory: 5148 grad_norm: 7.0339 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4241 loss: 1.4241 2022/06/28 08:07:04 - mmengine - INFO - Epoch(train) [51][880/3757] lr: 1.000e-03 eta: 13:47:33 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 7.1711 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2556 loss: 1.2556 2022/06/28 08:07:09 - mmengine - INFO - Epoch(train) [51][900/3757] lr: 1.000e-03 eta: 13:47:27 time: 0.213 data_time: 0.008 memory: 5148 grad_norm: 6.8009 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4365 loss: 1.4365 2022/06/28 08:07:14 - mmengine - INFO - Epoch(train) [51][920/3757] lr: 1.000e-03 eta: 13:47:22 time: 0.226 data_time: 0.013 memory: 5148 grad_norm: 6.0449 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5509 loss: 1.5509 2022/06/28 08:07:20 - mmengine - INFO - Epoch(train) [51][940/3757] lr: 1.000e-03 eta: 13:47:17 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 8.0729 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6967 loss: 1.6967 2022/06/28 08:07:25 - mmengine - INFO - Epoch(train) [51][960/3757] lr: 1.000e-03 eta: 13:47:11 time: 0.223 data_time: 0.008 memory: 5148 grad_norm: 5.8481 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3814 loss: 1.3814 2022/06/28 08:07:30 - mmengine - INFO - Epoch(train) [51][980/3757] lr: 1.000e-03 eta: 13:47:06 time: 0.201 data_time: 0.022 memory: 5148 grad_norm: 5.7625 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3394 loss: 1.3394 2022/06/28 08:07:35 - mmengine - INFO - Epoch(train) [51][1000/3757] lr: 1.000e-03 eta: 13:47:01 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 5.9905 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4912 loss: 1.4912 2022/06/28 08:07:41 - mmengine - INFO - Epoch(train) [51][1020/3757] lr: 1.000e-03 eta: 13:46:55 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 7.0234 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 1.9115 loss: 1.9115 2022/06/28 08:07:46 - mmengine - INFO - Epoch(train) [51][1040/3757] lr: 1.000e-03 eta: 13:46:50 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 6.7779 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2249 loss: 1.2249 2022/06/28 08:07:52 - mmengine - INFO - Epoch(train) [51][1060/3757] lr: 1.000e-03 eta: 13:46:45 time: 0.216 data_time: 0.011 memory: 5148 grad_norm: 6.7244 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3686 loss: 1.3686 2022/06/28 08:07:57 - mmengine - INFO - Epoch(train) [51][1080/3757] lr: 1.000e-03 eta: 13:46:40 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 5.7256 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3512 loss: 1.3512 2022/06/28 08:08:02 - mmengine - INFO - Epoch(train) [51][1100/3757] lr: 1.000e-03 eta: 13:46:34 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 6.1454 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3313 loss: 1.3313 2022/06/28 08:08:08 - mmengine - INFO - Epoch(train) [51][1120/3757] lr: 1.000e-03 eta: 13:46:29 time: 0.283 data_time: 0.007 memory: 5148 grad_norm: 6.5380 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3261 loss: 1.3261 2022/06/28 08:08:13 - mmengine - INFO - Epoch(train) [51][1140/3757] lr: 1.000e-03 eta: 13:46:24 time: 0.193 data_time: 0.008 memory: 5148 grad_norm: 7.8639 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.5025 loss: 1.5025 2022/06/28 08:08:16 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 08:08:18 - mmengine - INFO - Epoch(train) [51][1160/3757] lr: 1.000e-03 eta: 13:46:19 time: 0.210 data_time: 0.010 memory: 5148 grad_norm: 6.5578 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8303 loss: 1.8303 2022/06/28 08:08:24 - mmengine - INFO - Epoch(train) [51][1180/3757] lr: 1.000e-03 eta: 13:46:13 time: 0.235 data_time: 0.007 memory: 5148 grad_norm: 6.3199 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4769 loss: 1.4769 2022/06/28 08:08:29 - mmengine - INFO - Epoch(train) [51][1200/3757] lr: 1.000e-03 eta: 13:46:08 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 6.3722 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6306 loss: 1.6306 2022/06/28 08:08:34 - mmengine - INFO - Epoch(train) [51][1220/3757] lr: 1.000e-03 eta: 13:46:02 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 7.2280 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4014 loss: 1.4014 2022/06/28 08:08:39 - mmengine - INFO - Epoch(train) [51][1240/3757] lr: 1.000e-03 eta: 13:45:57 time: 0.210 data_time: 0.012 memory: 5148 grad_norm: 6.7156 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1830 loss: 1.1830 2022/06/28 08:08:44 - mmengine - INFO - Epoch(train) [51][1260/3757] lr: 1.000e-03 eta: 13:45:51 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 7.4363 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3819 loss: 1.3819 2022/06/28 08:08:50 - mmengine - INFO - Epoch(train) [51][1280/3757] lr: 1.000e-03 eta: 13:45:46 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 7.3304 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4239 loss: 1.4239 2022/06/28 08:08:56 - mmengine - INFO - Epoch(train) [51][1300/3757] lr: 1.000e-03 eta: 13:45:41 time: 0.212 data_time: 0.013 memory: 5148 grad_norm: 5.9768 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3872 loss: 1.3872 2022/06/28 08:09:01 - mmengine - INFO - Epoch(train) [51][1320/3757] lr: 1.000e-03 eta: 13:45:36 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 7.4413 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4822 loss: 1.4822 2022/06/28 08:09:06 - mmengine - INFO - Epoch(train) [51][1340/3757] lr: 1.000e-03 eta: 13:45:31 time: 0.243 data_time: 0.007 memory: 5148 grad_norm: 7.0466 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1286 loss: 1.1286 2022/06/28 08:09:12 - mmengine - INFO - Epoch(train) [51][1360/3757] lr: 1.000e-03 eta: 13:45:25 time: 0.222 data_time: 0.006 memory: 5148 grad_norm: 5.8111 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9218 loss: 0.9218 2022/06/28 08:09:17 - mmengine - INFO - Epoch(train) [51][1380/3757] lr: 1.000e-03 eta: 13:45:20 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 7.0908 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4499 loss: 1.4499 2022/06/28 08:09:22 - mmengine - INFO - Epoch(train) [51][1400/3757] lr: 1.000e-03 eta: 13:45:15 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 7.1863 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3186 loss: 1.3186 2022/06/28 08:09:28 - mmengine - INFO - Epoch(train) [51][1420/3757] lr: 1.000e-03 eta: 13:45:10 time: 0.215 data_time: 0.013 memory: 5148 grad_norm: 5.8767 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1363 loss: 1.1363 2022/06/28 08:09:33 - mmengine - INFO - Epoch(train) [51][1440/3757] lr: 1.000e-03 eta: 13:45:04 time: 0.220 data_time: 0.010 memory: 5148 grad_norm: 6.4951 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9921 loss: 0.9921 2022/06/28 08:09:38 - mmengine - INFO - Epoch(train) [51][1460/3757] lr: 1.000e-03 eta: 13:44:58 time: 0.208 data_time: 0.022 memory: 5148 grad_norm: 6.3454 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3524 loss: 1.3524 2022/06/28 08:09:43 - mmengine - INFO - Epoch(train) [51][1480/3757] lr: 1.000e-03 eta: 13:44:53 time: 0.197 data_time: 0.012 memory: 5148 grad_norm: 5.7436 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4889 loss: 1.4889 2022/06/28 08:09:49 - mmengine - INFO - Epoch(train) [51][1500/3757] lr: 1.000e-03 eta: 13:44:48 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.6596 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2048 loss: 1.2048 2022/06/28 08:09:54 - mmengine - INFO - Epoch(train) [51][1520/3757] lr: 1.000e-03 eta: 13:44:43 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 7.3876 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3509 loss: 1.3509 2022/06/28 08:10:00 - mmengine - INFO - Epoch(train) [51][1540/3757] lr: 1.000e-03 eta: 13:44:38 time: 0.195 data_time: 0.013 memory: 5148 grad_norm: 6.4116 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4938 loss: 1.4938 2022/06/28 08:10:05 - mmengine - INFO - Epoch(train) [51][1560/3757] lr: 1.000e-03 eta: 13:44:32 time: 0.198 data_time: 0.012 memory: 5148 grad_norm: 5.8915 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2724 loss: 1.2724 2022/06/28 08:10:10 - mmengine - INFO - Epoch(train) [51][1580/3757] lr: 1.000e-03 eta: 13:44:27 time: 0.200 data_time: 0.013 memory: 5148 grad_norm: 7.3079 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8408 loss: 0.8408 2022/06/28 08:10:16 - mmengine - INFO - Epoch(train) [51][1600/3757] lr: 1.000e-03 eta: 13:44:22 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 6.8793 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2650 loss: 1.2650 2022/06/28 08:10:21 - mmengine - INFO - Epoch(train) [51][1620/3757] lr: 1.000e-03 eta: 13:44:16 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 7.1580 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5263 loss: 1.5263 2022/06/28 08:10:26 - mmengine - INFO - Epoch(train) [51][1640/3757] lr: 1.000e-03 eta: 13:44:11 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 6.5850 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6504 loss: 1.6504 2022/06/28 08:10:32 - mmengine - INFO - Epoch(train) [51][1660/3757] lr: 1.000e-03 eta: 13:44:06 time: 0.194 data_time: 0.014 memory: 5148 grad_norm: 7.1150 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4889 loss: 1.4889 2022/06/28 08:10:37 - mmengine - INFO - Epoch(train) [51][1680/3757] lr: 1.000e-03 eta: 13:44:00 time: 0.231 data_time: 0.035 memory: 5148 grad_norm: 6.2285 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4101 loss: 1.4101 2022/06/28 08:10:42 - mmengine - INFO - Epoch(train) [51][1700/3757] lr: 1.000e-03 eta: 13:43:55 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.5517 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4388 loss: 1.4388 2022/06/28 08:10:48 - mmengine - INFO - Epoch(train) [51][1720/3757] lr: 1.000e-03 eta: 13:43:50 time: 0.202 data_time: 0.024 memory: 5148 grad_norm: 7.8562 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4743 loss: 1.4743 2022/06/28 08:10:53 - mmengine - INFO - Epoch(train) [51][1740/3757] lr: 1.000e-03 eta: 13:43:45 time: 0.200 data_time: 0.012 memory: 5148 grad_norm: 6.2786 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0554 loss: 1.0554 2022/06/28 08:10:58 - mmengine - INFO - Epoch(train) [51][1760/3757] lr: 1.000e-03 eta: 13:43:39 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 5.7100 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5127 loss: 1.5127 2022/06/28 08:11:04 - mmengine - INFO - Epoch(train) [51][1780/3757] lr: 1.000e-03 eta: 13:43:35 time: 0.204 data_time: 0.027 memory: 5148 grad_norm: 6.2558 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1530 loss: 1.1530 2022/06/28 08:11:09 - mmengine - INFO - Epoch(train) [51][1800/3757] lr: 1.000e-03 eta: 13:43:29 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 8.4191 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7415 loss: 1.7415 2022/06/28 08:11:15 - mmengine - INFO - Epoch(train) [51][1820/3757] lr: 1.000e-03 eta: 13:43:24 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 6.9125 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3657 loss: 1.3657 2022/06/28 08:11:20 - mmengine - INFO - Epoch(train) [51][1840/3757] lr: 1.000e-03 eta: 13:43:19 time: 0.212 data_time: 0.021 memory: 5148 grad_norm: 6.5451 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1800 loss: 1.1800 2022/06/28 08:11:24 - mmengine - INFO - Epoch(train) [51][1860/3757] lr: 1.000e-03 eta: 13:43:12 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 6.3836 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0876 loss: 1.0876 2022/06/28 08:11:30 - mmengine - INFO - Epoch(train) [51][1880/3757] lr: 1.000e-03 eta: 13:43:07 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 6.6312 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6594 loss: 1.6594 2022/06/28 08:11:35 - mmengine - INFO - Epoch(train) [51][1900/3757] lr: 1.000e-03 eta: 13:43:02 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 5.7729 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6082 loss: 1.6082 2022/06/28 08:11:40 - mmengine - INFO - Epoch(train) [51][1920/3757] lr: 1.000e-03 eta: 13:42:56 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 7.0439 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7211 loss: 1.7211 2022/06/28 08:11:46 - mmengine - INFO - Epoch(train) [51][1940/3757] lr: 1.000e-03 eta: 13:42:51 time: 0.196 data_time: 0.015 memory: 5148 grad_norm: 5.8367 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2188 loss: 1.2188 2022/06/28 08:11:51 - mmengine - INFO - Epoch(train) [51][1960/3757] lr: 1.000e-03 eta: 13:42:46 time: 0.208 data_time: 0.010 memory: 5148 grad_norm: 5.8977 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5209 loss: 1.5209 2022/06/28 08:11:56 - mmengine - INFO - Epoch(train) [51][1980/3757] lr: 1.000e-03 eta: 13:42:40 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 5.7473 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5252 loss: 1.5252 2022/06/28 08:12:02 - mmengine - INFO - Epoch(train) [51][2000/3757] lr: 1.000e-03 eta: 13:42:35 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.9230 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0679 loss: 1.0679 2022/06/28 08:12:06 - mmengine - INFO - Epoch(train) [51][2020/3757] lr: 1.000e-03 eta: 13:42:29 time: 0.246 data_time: 0.009 memory: 5148 grad_norm: 6.0217 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.6580 loss: 1.6580 2022/06/28 08:12:12 - mmengine - INFO - Epoch(train) [51][2040/3757] lr: 1.000e-03 eta: 13:42:24 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 6.9950 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9350 loss: 1.9350 2022/06/28 08:12:17 - mmengine - INFO - Epoch(train) [51][2060/3757] lr: 1.000e-03 eta: 13:42:19 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.7533 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4837 loss: 1.4837 2022/06/28 08:12:23 - mmengine - INFO - Epoch(train) [51][2080/3757] lr: 1.000e-03 eta: 13:42:14 time: 0.199 data_time: 0.012 memory: 5148 grad_norm: 7.9838 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1419 loss: 1.1419 2022/06/28 08:12:28 - mmengine - INFO - Epoch(train) [51][2100/3757] lr: 1.000e-03 eta: 13:42:08 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 7.0190 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9511 loss: 0.9511 2022/06/28 08:12:34 - mmengine - INFO - Epoch(train) [51][2120/3757] lr: 1.000e-03 eta: 13:42:04 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 7.1563 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1866 loss: 1.1866 2022/06/28 08:12:40 - mmengine - INFO - Epoch(train) [51][2140/3757] lr: 1.000e-03 eta: 13:41:59 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 7.6475 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6989 loss: 1.6989 2022/06/28 08:12:42 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 08:12:44 - mmengine - INFO - Epoch(train) [51][2160/3757] lr: 1.000e-03 eta: 13:41:53 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 6.6840 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0977 loss: 1.0977 2022/06/28 08:12:50 - mmengine - INFO - Epoch(train) [51][2180/3757] lr: 1.000e-03 eta: 13:41:48 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 6.6890 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5165 loss: 1.5165 2022/06/28 08:12:55 - mmengine - INFO - Epoch(train) [51][2200/3757] lr: 1.000e-03 eta: 13:41:42 time: 0.198 data_time: 0.016 memory: 5148 grad_norm: 7.2230 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2558 loss: 1.2558 2022/06/28 08:13:00 - mmengine - INFO - Epoch(train) [51][2220/3757] lr: 1.000e-03 eta: 13:41:37 time: 0.254 data_time: 0.018 memory: 5148 grad_norm: 5.4329 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3801 loss: 1.3801 2022/06/28 08:13:05 - mmengine - INFO - Epoch(train) [51][2240/3757] lr: 1.000e-03 eta: 13:41:31 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 6.3191 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1461 loss: 1.1461 2022/06/28 08:13:11 - mmengine - INFO - Epoch(train) [51][2260/3757] lr: 1.000e-03 eta: 13:41:26 time: 0.207 data_time: 0.013 memory: 5148 grad_norm: 6.7712 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5520 loss: 1.5520 2022/06/28 08:13:16 - mmengine - INFO - Epoch(train) [51][2280/3757] lr: 1.000e-03 eta: 13:41:21 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 7.3258 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4152 loss: 1.4152 2022/06/28 08:13:21 - mmengine - INFO - Epoch(train) [51][2300/3757] lr: 1.000e-03 eta: 13:41:15 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 5.6470 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2707 loss: 1.2707 2022/06/28 08:13:27 - mmengine - INFO - Epoch(train) [51][2320/3757] lr: 1.000e-03 eta: 13:41:10 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 6.0837 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4124 loss: 1.4124 2022/06/28 08:13:32 - mmengine - INFO - Epoch(train) [51][2340/3757] lr: 1.000e-03 eta: 13:41:05 time: 0.202 data_time: 0.017 memory: 5148 grad_norm: 6.4379 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4284 loss: 1.4284 2022/06/28 08:13:38 - mmengine - INFO - Epoch(train) [51][2360/3757] lr: 1.000e-03 eta: 13:41:00 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 7.5876 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8089 loss: 1.8089 2022/06/28 08:13:43 - mmengine - INFO - Epoch(train) [51][2380/3757] lr: 1.000e-03 eta: 13:40:54 time: 0.199 data_time: 0.012 memory: 5148 grad_norm: 7.1562 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8318 loss: 1.8318 2022/06/28 08:13:48 - mmengine - INFO - Epoch(train) [51][2400/3757] lr: 1.000e-03 eta: 13:40:49 time: 0.193 data_time: 0.015 memory: 5148 grad_norm: 5.6931 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6560 loss: 1.6560 2022/06/28 08:13:53 - mmengine - INFO - Epoch(train) [51][2420/3757] lr: 1.000e-03 eta: 13:40:44 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.3551 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2113 loss: 1.2113 2022/06/28 08:13:59 - mmengine - INFO - Epoch(train) [51][2440/3757] lr: 1.000e-03 eta: 13:40:38 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 6.8007 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6877 loss: 1.6877 2022/06/28 08:14:04 - mmengine - INFO - Epoch(train) [51][2460/3757] lr: 1.000e-03 eta: 13:40:33 time: 0.205 data_time: 0.023 memory: 5148 grad_norm: 6.5343 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5740 loss: 1.5740 2022/06/28 08:14:10 - mmengine - INFO - Epoch(train) [51][2480/3757] lr: 1.000e-03 eta: 13:40:28 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 7.0576 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4588 loss: 1.4588 2022/06/28 08:14:15 - mmengine - INFO - Epoch(train) [51][2500/3757] lr: 1.000e-03 eta: 13:40:23 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.8841 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2752 loss: 1.2752 2022/06/28 08:14:20 - mmengine - INFO - Epoch(train) [51][2520/3757] lr: 1.000e-03 eta: 13:40:17 time: 0.212 data_time: 0.027 memory: 5148 grad_norm: 7.2725 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4606 loss: 1.4606 2022/06/28 08:14:26 - mmengine - INFO - Epoch(train) [51][2540/3757] lr: 1.000e-03 eta: 13:40:12 time: 0.188 data_time: 0.007 memory: 5148 grad_norm: 6.7723 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8518 loss: 1.8518 2022/06/28 08:14:31 - mmengine - INFO - Epoch(train) [51][2560/3757] lr: 1.000e-03 eta: 13:40:07 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 6.7176 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6811 loss: 1.6811 2022/06/28 08:14:36 - mmengine - INFO - Epoch(train) [51][2580/3757] lr: 1.000e-03 eta: 13:40:01 time: 0.211 data_time: 0.031 memory: 5148 grad_norm: 6.7595 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3342 loss: 1.3342 2022/06/28 08:14:42 - mmengine - INFO - Epoch(train) [51][2600/3757] lr: 1.000e-03 eta: 13:39:57 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 6.6109 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5387 loss: 1.5387 2022/06/28 08:14:47 - mmengine - INFO - Epoch(train) [51][2620/3757] lr: 1.000e-03 eta: 13:39:51 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 6.6667 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5140 loss: 1.5140 2022/06/28 08:14:52 - mmengine - INFO - Epoch(train) [51][2640/3757] lr: 1.000e-03 eta: 13:39:46 time: 0.211 data_time: 0.026 memory: 5148 grad_norm: 6.0559 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0963 loss: 1.0963 2022/06/28 08:14:58 - mmengine - INFO - Epoch(train) [51][2660/3757] lr: 1.000e-03 eta: 13:39:41 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 6.0764 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2754 loss: 1.2754 2022/06/28 08:15:03 - mmengine - INFO - Epoch(train) [51][2680/3757] lr: 1.000e-03 eta: 13:39:35 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 6.7934 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8826 loss: 1.8826 2022/06/28 08:15:09 - mmengine - INFO - Epoch(train) [51][2700/3757] lr: 1.000e-03 eta: 13:39:30 time: 0.212 data_time: 0.012 memory: 5148 grad_norm: 6.6446 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2277 loss: 1.2277 2022/06/28 08:15:14 - mmengine - INFO - Epoch(train) [51][2720/3757] lr: 1.000e-03 eta: 13:39:24 time: 0.203 data_time: 0.012 memory: 5148 grad_norm: 6.6639 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2436 loss: 1.2436 2022/06/28 08:15:18 - mmengine - INFO - Epoch(train) [51][2740/3757] lr: 1.000e-03 eta: 13:39:18 time: 0.217 data_time: 0.016 memory: 5148 grad_norm: 6.2984 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4030 loss: 1.4030 2022/06/28 08:15:24 - mmengine - INFO - Epoch(train) [51][2760/3757] lr: 1.000e-03 eta: 13:39:13 time: 0.205 data_time: 0.015 memory: 5148 grad_norm: 6.7243 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4344 loss: 1.4344 2022/06/28 08:15:29 - mmengine - INFO - Epoch(train) [51][2780/3757] lr: 1.000e-03 eta: 13:39:08 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 6.7894 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4562 loss: 1.4562 2022/06/28 08:15:35 - mmengine - INFO - Epoch(train) [51][2800/3757] lr: 1.000e-03 eta: 13:39:03 time: 0.201 data_time: 0.016 memory: 5148 grad_norm: 8.1986 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7460 loss: 1.7460 2022/06/28 08:15:40 - mmengine - INFO - Epoch(train) [51][2820/3757] lr: 1.000e-03 eta: 13:38:58 time: 0.458 data_time: 0.007 memory: 5148 grad_norm: 6.5966 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0074 loss: 2.0074 2022/06/28 08:15:46 - mmengine - INFO - Epoch(train) [51][2840/3757] lr: 1.000e-03 eta: 13:38:52 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 7.7608 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3230 loss: 1.3230 2022/06/28 08:15:51 - mmengine - INFO - Epoch(train) [51][2860/3757] lr: 1.000e-03 eta: 13:38:47 time: 0.207 data_time: 0.013 memory: 5148 grad_norm: 6.8060 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1672 loss: 1.1672 2022/06/28 08:15:56 - mmengine - INFO - Epoch(train) [51][2880/3757] lr: 1.000e-03 eta: 13:38:42 time: 0.502 data_time: 0.008 memory: 5148 grad_norm: 6.7248 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9951 loss: 0.9951 2022/06/28 08:16:02 - mmengine - INFO - Epoch(train) [51][2900/3757] lr: 1.000e-03 eta: 13:38:36 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 6.5446 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4457 loss: 1.4457 2022/06/28 08:16:07 - mmengine - INFO - Epoch(train) [51][2920/3757] lr: 1.000e-03 eta: 13:38:31 time: 0.211 data_time: 0.015 memory: 5148 grad_norm: 6.9382 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4530 loss: 1.4530 2022/06/28 08:16:13 - mmengine - INFO - Epoch(train) [51][2940/3757] lr: 1.000e-03 eta: 13:38:26 time: 0.382 data_time: 0.007 memory: 5148 grad_norm: 6.9148 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4092 loss: 1.4092 2022/06/28 08:16:18 - mmengine - INFO - Epoch(train) [51][2960/3757] lr: 1.000e-03 eta: 13:38:21 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 6.4757 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2070 loss: 1.2070 2022/06/28 08:16:23 - mmengine - INFO - Epoch(train) [51][2980/3757] lr: 1.000e-03 eta: 13:38:15 time: 0.235 data_time: 0.007 memory: 5148 grad_norm: 6.2189 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6298 loss: 1.6298 2022/06/28 08:16:28 - mmengine - INFO - Epoch(train) [51][3000/3757] lr: 1.000e-03 eta: 13:38:10 time: 0.479 data_time: 0.006 memory: 5148 grad_norm: 5.7105 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1955 loss: 1.1955 2022/06/28 08:16:33 - mmengine - INFO - Epoch(train) [51][3020/3757] lr: 1.000e-03 eta: 13:38:05 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 6.7723 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8593 loss: 1.8593 2022/06/28 08:16:39 - mmengine - INFO - Epoch(train) [51][3040/3757] lr: 1.000e-03 eta: 13:37:59 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 5.9742 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5094 loss: 1.5094 2022/06/28 08:16:44 - mmengine - INFO - Epoch(train) [51][3060/3757] lr: 1.000e-03 eta: 13:37:54 time: 0.519 data_time: 0.007 memory: 5148 grad_norm: 8.1678 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7621 loss: 1.7621 2022/06/28 08:16:49 - mmengine - INFO - Epoch(train) [51][3080/3757] lr: 1.000e-03 eta: 13:37:48 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 6.0315 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9584 loss: 0.9584 2022/06/28 08:16:55 - mmengine - INFO - Epoch(train) [51][3100/3757] lr: 1.000e-03 eta: 13:37:43 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 7.4555 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.8277 loss: 1.8277 2022/06/28 08:17:00 - mmengine - INFO - Epoch(train) [51][3120/3757] lr: 1.000e-03 eta: 13:37:38 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 7.5501 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1795 loss: 1.1795 2022/06/28 08:17:06 - mmengine - INFO - Epoch(train) [51][3140/3757] lr: 1.000e-03 eta: 13:37:33 time: 1.033 data_time: 0.010 memory: 5148 grad_norm: 6.4030 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6377 loss: 1.6377 2022/06/28 08:17:08 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 08:17:11 - mmengine - INFO - Epoch(train) [51][3160/3757] lr: 1.000e-03 eta: 13:37:27 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 7.0161 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5344 loss: 1.5344 2022/06/28 08:17:16 - mmengine - INFO - Epoch(train) [51][3180/3757] lr: 1.000e-03 eta: 13:37:22 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 5.9215 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0975 loss: 1.0975 2022/06/28 08:17:22 - mmengine - INFO - Epoch(train) [51][3200/3757] lr: 1.000e-03 eta: 13:37:17 time: 0.202 data_time: 0.018 memory: 5148 grad_norm: 6.3550 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1676 loss: 1.1676 2022/06/28 08:17:27 - mmengine - INFO - Epoch(train) [51][3220/3757] lr: 1.000e-03 eta: 13:37:11 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.6711 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1608 loss: 1.1608 2022/06/28 08:17:32 - mmengine - INFO - Epoch(train) [51][3240/3757] lr: 1.000e-03 eta: 13:37:06 time: 0.583 data_time: 0.007 memory: 5148 grad_norm: 6.6798 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3912 loss: 1.3912 2022/06/28 08:17:38 - mmengine - INFO - Epoch(train) [51][3260/3757] lr: 1.000e-03 eta: 13:37:01 time: 0.210 data_time: 0.015 memory: 5148 grad_norm: 5.3930 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4137 loss: 1.4137 2022/06/28 08:17:42 - mmengine - INFO - Epoch(train) [51][3280/3757] lr: 1.000e-03 eta: 13:36:55 time: 0.196 data_time: 0.016 memory: 5148 grad_norm: 7.9634 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2544 loss: 1.2544 2022/06/28 08:17:49 - mmengine - INFO - Epoch(train) [51][3300/3757] lr: 1.000e-03 eta: 13:36:51 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 5.9311 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3576 loss: 1.3576 2022/06/28 08:17:53 - mmengine - INFO - Epoch(train) [51][3320/3757] lr: 1.000e-03 eta: 13:36:45 time: 0.206 data_time: 0.022 memory: 5148 grad_norm: 6.7554 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3959 loss: 1.3959 2022/06/28 08:17:58 - mmengine - INFO - Epoch(train) [51][3340/3757] lr: 1.000e-03 eta: 13:36:39 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 8.5088 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4296 loss: 1.4296 2022/06/28 08:18:04 - mmengine - INFO - Epoch(train) [51][3360/3757] lr: 1.000e-03 eta: 13:36:34 time: 0.519 data_time: 0.007 memory: 5148 grad_norm: 6.4586 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2976 loss: 1.2976 2022/06/28 08:18:09 - mmengine - INFO - Epoch(train) [51][3380/3757] lr: 1.000e-03 eta: 13:36:29 time: 0.198 data_time: 0.020 memory: 5148 grad_norm: 6.1242 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5279 loss: 1.5279 2022/06/28 08:18:15 - mmengine - INFO - Epoch(train) [51][3400/3757] lr: 1.000e-03 eta: 13:36:24 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 7.0097 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3281 loss: 1.3281 2022/06/28 08:18:20 - mmengine - INFO - Epoch(train) [51][3420/3757] lr: 1.000e-03 eta: 13:36:19 time: 0.556 data_time: 0.007 memory: 5148 grad_norm: 6.6499 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6887 loss: 1.6887 2022/06/28 08:18:25 - mmengine - INFO - Epoch(train) [51][3440/3757] lr: 1.000e-03 eta: 13:36:13 time: 0.194 data_time: 0.017 memory: 5148 grad_norm: 6.5270 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5859 loss: 1.5859 2022/06/28 08:18:31 - mmengine - INFO - Epoch(train) [51][3460/3757] lr: 1.000e-03 eta: 13:36:08 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.1721 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6802 loss: 1.6802 2022/06/28 08:18:36 - mmengine - INFO - Epoch(train) [51][3480/3757] lr: 1.000e-03 eta: 13:36:03 time: 0.273 data_time: 0.007 memory: 5148 grad_norm: 5.5349 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5586 loss: 1.5586 2022/06/28 08:18:41 - mmengine - INFO - Epoch(train) [51][3500/3757] lr: 1.000e-03 eta: 13:35:57 time: 0.202 data_time: 0.024 memory: 5148 grad_norm: 6.9729 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6954 loss: 1.6954 2022/06/28 08:18:46 - mmengine - INFO - Epoch(train) [51][3520/3757] lr: 1.000e-03 eta: 13:35:51 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 5.6849 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6138 loss: 1.6138 2022/06/28 08:18:52 - mmengine - INFO - Epoch(train) [51][3540/3757] lr: 1.000e-03 eta: 13:35:47 time: 0.223 data_time: 0.011 memory: 5148 grad_norm: 5.5955 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6210 loss: 1.6210 2022/06/28 08:18:58 - mmengine - INFO - Epoch(train) [51][3560/3757] lr: 1.000e-03 eta: 13:35:42 time: 0.209 data_time: 0.035 memory: 5148 grad_norm: 7.3566 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3626 loss: 1.3626 2022/06/28 08:19:02 - mmengine - INFO - Epoch(train) [51][3580/3757] lr: 1.000e-03 eta: 13:35:36 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 7.3461 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6210 loss: 1.6210 2022/06/28 08:19:08 - mmengine - INFO - Epoch(train) [51][3600/3757] lr: 1.000e-03 eta: 13:35:30 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 6.2771 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5405 loss: 1.5405 2022/06/28 08:19:13 - mmengine - INFO - Epoch(train) [51][3620/3757] lr: 1.000e-03 eta: 13:35:25 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 8.5045 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.1875 loss: 1.1875 2022/06/28 08:19:18 - mmengine - INFO - Epoch(train) [51][3640/3757] lr: 1.000e-03 eta: 13:35:19 time: 0.195 data_time: 0.013 memory: 5148 grad_norm: 6.5150 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6281 loss: 1.6281 2022/06/28 08:19:23 - mmengine - INFO - Epoch(train) [51][3660/3757] lr: 1.000e-03 eta: 13:35:14 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 8.0250 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6053 loss: 1.6053 2022/06/28 08:19:29 - mmengine - INFO - Epoch(train) [51][3680/3757] lr: 1.000e-03 eta: 13:35:09 time: 0.204 data_time: 0.018 memory: 5148 grad_norm: 7.6379 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3041 loss: 1.3041 2022/06/28 08:19:34 - mmengine - INFO - Epoch(train) [51][3700/3757] lr: 1.000e-03 eta: 13:35:04 time: 0.206 data_time: 0.013 memory: 5148 grad_norm: 6.2659 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5660 loss: 1.5660 2022/06/28 08:19:40 - mmengine - INFO - Epoch(train) [51][3720/3757] lr: 1.000e-03 eta: 13:34:59 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 6.3543 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4598 loss: 1.4598 2022/06/28 08:19:45 - mmengine - INFO - Epoch(train) [51][3740/3757] lr: 1.000e-03 eta: 13:34:53 time: 0.203 data_time: 0.012 memory: 5148 grad_norm: 5.8633 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5980 loss: 1.5980 2022/06/28 08:19:48 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 08:19:55 - mmengine - INFO - Epoch(val) [51][20/310] eta: 0:01:09 time: 0.263 data_time: 0.191 memory: 5148 2022/06/28 08:20:00 - mmengine - INFO - Epoch(val) [51][40/310] eta: 0:01:00 time: 0.086 data_time: 0.009 memory: 1367 2022/06/28 08:20:06 - mmengine - INFO - Epoch(val) [51][60/310] eta: 0:00:55 time: 0.079 data_time: 0.008 memory: 1367 2022/06/28 08:20:11 - mmengine - INFO - Epoch(val) [51][80/310] eta: 0:00:56 time: 0.080 data_time: 0.008 memory: 1367 2022/06/28 08:20:16 - mmengine - INFO - Epoch(val) [51][100/310] eta: 0:00:49 time: 0.109 data_time: 0.038 memory: 1367 2022/06/28 08:20:21 - mmengine - INFO - Epoch(val) [51][120/310] eta: 0:00:52 time: 0.414 data_time: 0.336 memory: 1367 2022/06/28 08:20:28 - mmengine - INFO - Epoch(val) [51][140/310] eta: 0:00:50 time: 0.758 data_time: 0.686 memory: 1367 2022/06/28 08:20:33 - mmengine - INFO - Epoch(val) [51][160/310] eta: 0:00:41 time: 0.663 data_time: 0.589 memory: 1367 2022/06/28 08:20:38 - mmengine - INFO - Epoch(val) [51][180/310] eta: 0:00:42 time: 0.724 data_time: 0.648 memory: 1367 2022/06/28 08:20:43 - mmengine - INFO - Epoch(val) [51][200/310] eta: 0:00:30 time: 0.500 data_time: 0.428 memory: 1367 2022/06/28 08:20:49 - mmengine - INFO - Epoch(val) [51][220/310] eta: 0:00:32 time: 0.086 data_time: 0.005 memory: 1367 2022/06/28 08:20:53 - mmengine - INFO - Epoch(val) [51][240/310] eta: 0:00:14 time: 0.086 data_time: 0.009 memory: 1367 2022/06/28 08:20:59 - mmengine - INFO - Epoch(val) [51][260/310] eta: 0:00:18 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 08:21:04 - mmengine - INFO - Epoch(val) [51][280/310] eta: 0:00:07 time: 0.084 data_time: 0.012 memory: 1367 2022/06/28 08:21:10 - mmengine - INFO - Epoch(val) [51][300/310] eta: 0:00:03 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 08:21:13 - mmengine - INFO - Epoch(val) [51][310/310] acc/top1: 0.6419 acc/top5: 0.8542 acc/mean1: 0.6418 2022/06/28 08:21:21 - mmengine - INFO - Epoch(train) [52][20/3757] lr: 1.000e-03 eta: 13:34:43 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.9670 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4633 loss: 1.4633 2022/06/28 08:21:26 - mmengine - INFO - Epoch(train) [52][40/3757] lr: 1.000e-03 eta: 13:34:39 time: 0.200 data_time: 0.016 memory: 5148 grad_norm: 7.7050 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4356 loss: 1.4356 2022/06/28 08:21:31 - mmengine - INFO - Epoch(train) [52][60/3757] lr: 1.000e-03 eta: 13:34:33 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 5.7829 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8084 loss: 1.8084 2022/06/28 08:21:37 - mmengine - INFO - Epoch(train) [52][80/3757] lr: 1.000e-03 eta: 13:34:28 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 7.5084 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4540 loss: 1.4540 2022/06/28 08:21:43 - mmengine - INFO - Epoch(train) [52][100/3757] lr: 1.000e-03 eta: 13:34:23 time: 0.515 data_time: 0.335 memory: 5148 grad_norm: 5.8999 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1999 loss: 1.1999 2022/06/28 08:21:47 - mmengine - INFO - Epoch(train) [52][120/3757] lr: 1.000e-03 eta: 13:34:17 time: 0.197 data_time: 0.009 memory: 5148 grad_norm: 6.9166 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4979 loss: 1.4979 2022/06/28 08:21:53 - mmengine - INFO - Epoch(train) [52][140/3757] lr: 1.000e-03 eta: 13:34:12 time: 0.192 data_time: 0.008 memory: 5148 grad_norm: 6.7733 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4037 loss: 1.4037 2022/06/28 08:21:59 - mmengine - INFO - Epoch(train) [52][160/3757] lr: 1.000e-03 eta: 13:34:08 time: 1.229 data_time: 1.044 memory: 5148 grad_norm: 6.0008 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8066 loss: 1.8066 2022/06/28 08:22:04 - mmengine - INFO - Epoch(train) [52][180/3757] lr: 1.000e-03 eta: 13:34:02 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 6.7920 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4005 loss: 1.4005 2022/06/28 08:22:09 - mmengine - INFO - Epoch(train) [52][200/3757] lr: 1.000e-03 eta: 13:33:56 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 7.9178 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5335 loss: 1.5335 2022/06/28 08:22:15 - mmengine - INFO - Epoch(train) [52][220/3757] lr: 1.000e-03 eta: 13:33:51 time: 0.207 data_time: 0.012 memory: 5148 grad_norm: 6.6862 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6286 loss: 1.6286 2022/06/28 08:22:20 - mmengine - INFO - Epoch(train) [52][240/3757] lr: 1.000e-03 eta: 13:33:46 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.7866 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5678 loss: 1.5678 2022/06/28 08:22:25 - mmengine - INFO - Epoch(train) [52][260/3757] lr: 1.000e-03 eta: 13:33:41 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 6.4084 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6645 loss: 1.6645 2022/06/28 08:22:31 - mmengine - INFO - Epoch(train) [52][280/3757] lr: 1.000e-03 eta: 13:33:36 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 6.5701 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9852 loss: 1.9852 2022/06/28 08:22:36 - mmengine - INFO - Epoch(train) [52][300/3757] lr: 1.000e-03 eta: 13:33:30 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 6.5579 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4733 loss: 1.4733 2022/06/28 08:22:41 - mmengine - INFO - Epoch(train) [52][320/3757] lr: 1.000e-03 eta: 13:33:25 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 6.5540 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3828 loss: 1.3828 2022/06/28 08:22:47 - mmengine - INFO - Epoch(train) [52][340/3757] lr: 1.000e-03 eta: 13:33:20 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 7.2653 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6169 loss: 1.6169 2022/06/28 08:22:52 - mmengine - INFO - Epoch(train) [52][360/3757] lr: 1.000e-03 eta: 13:33:14 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 7.1385 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3986 loss: 1.3986 2022/06/28 08:22:57 - mmengine - INFO - Epoch(train) [52][380/3757] lr: 1.000e-03 eta: 13:33:08 time: 0.227 data_time: 0.007 memory: 5148 grad_norm: 7.2900 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7382 loss: 1.7382 2022/06/28 08:23:00 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 08:23:02 - mmengine - INFO - Epoch(train) [52][400/3757] lr: 1.000e-03 eta: 13:33:03 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 7.1231 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4505 loss: 1.4505 2022/06/28 08:23:07 - mmengine - INFO - Epoch(train) [52][420/3757] lr: 1.000e-03 eta: 13:32:57 time: 0.198 data_time: 0.014 memory: 5148 grad_norm: 5.7958 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6268 loss: 1.6268 2022/06/28 08:23:13 - mmengine - INFO - Epoch(train) [52][440/3757] lr: 1.000e-03 eta: 13:32:53 time: 0.424 data_time: 0.007 memory: 5148 grad_norm: 6.2130 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3422 loss: 1.3422 2022/06/28 08:23:18 - mmengine - INFO - Epoch(train) [52][460/3757] lr: 1.000e-03 eta: 13:32:47 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.2057 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2414 loss: 1.2414 2022/06/28 08:23:24 - mmengine - INFO - Epoch(train) [52][480/3757] lr: 1.000e-03 eta: 13:32:42 time: 0.199 data_time: 0.013 memory: 5148 grad_norm: 6.6632 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0812 loss: 1.0812 2022/06/28 08:23:29 - mmengine - INFO - Epoch(train) [52][500/3757] lr: 1.000e-03 eta: 13:32:37 time: 0.499 data_time: 0.006 memory: 5148 grad_norm: 6.9045 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4542 loss: 1.4542 2022/06/28 08:23:35 - mmengine - INFO - Epoch(train) [52][520/3757] lr: 1.000e-03 eta: 13:32:32 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 7.6464 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7495 loss: 1.7495 2022/06/28 08:23:41 - mmengine - INFO - Epoch(train) [52][540/3757] lr: 1.000e-03 eta: 13:32:27 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 7.3171 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.1747 loss: 1.1747 2022/06/28 08:23:46 - mmengine - INFO - Epoch(train) [52][560/3757] lr: 1.000e-03 eta: 13:32:22 time: 1.317 data_time: 0.007 memory: 5148 grad_norm: 7.5736 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3267 loss: 1.3267 2022/06/28 08:23:51 - mmengine - INFO - Epoch(train) [52][580/3757] lr: 1.000e-03 eta: 13:32:16 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.5347 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4624 loss: 1.4624 2022/06/28 08:23:56 - mmengine - INFO - Epoch(train) [52][600/3757] lr: 1.000e-03 eta: 13:32:11 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 5.9565 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4219 loss: 1.4219 2022/06/28 08:24:02 - mmengine - INFO - Epoch(train) [52][620/3757] lr: 1.000e-03 eta: 13:32:05 time: 0.884 data_time: 0.007 memory: 5148 grad_norm: 5.6909 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1641 loss: 1.1641 2022/06/28 08:24:06 - mmengine - INFO - Epoch(train) [52][640/3757] lr: 1.000e-03 eta: 13:32:00 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 6.2837 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4444 loss: 1.4444 2022/06/28 08:24:12 - mmengine - INFO - Epoch(train) [52][660/3757] lr: 1.000e-03 eta: 13:31:54 time: 0.207 data_time: 0.015 memory: 5148 grad_norm: 7.0049 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3988 loss: 1.3988 2022/06/28 08:24:18 - mmengine - INFO - Epoch(train) [52][680/3757] lr: 1.000e-03 eta: 13:31:50 time: 1.429 data_time: 0.008 memory: 5148 grad_norm: 7.1167 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4002 loss: 1.4002 2022/06/28 08:24:22 - mmengine - INFO - Epoch(train) [52][700/3757] lr: 1.000e-03 eta: 13:31:44 time: 0.205 data_time: 0.013 memory: 5148 grad_norm: 6.2780 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5878 loss: 1.5878 2022/06/28 08:24:28 - mmengine - INFO - Epoch(train) [52][720/3757] lr: 1.000e-03 eta: 13:31:38 time: 0.256 data_time: 0.020 memory: 5148 grad_norm: 6.4603 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6168 loss: 1.6168 2022/06/28 08:24:33 - mmengine - INFO - Epoch(train) [52][740/3757] lr: 1.000e-03 eta: 13:31:33 time: 0.799 data_time: 0.010 memory: 5148 grad_norm: 5.7531 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4495 loss: 1.4495 2022/06/28 08:24:38 - mmengine - INFO - Epoch(train) [52][760/3757] lr: 1.000e-03 eta: 13:31:28 time: 0.202 data_time: 0.023 memory: 5148 grad_norm: 6.9292 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2437 loss: 1.2437 2022/06/28 08:24:44 - mmengine - INFO - Epoch(train) [52][780/3757] lr: 1.000e-03 eta: 13:31:22 time: 0.217 data_time: 0.011 memory: 5148 grad_norm: 6.5887 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7236 loss: 1.7236 2022/06/28 08:24:49 - mmengine - INFO - Epoch(train) [52][800/3757] lr: 1.000e-03 eta: 13:31:17 time: 0.452 data_time: 0.007 memory: 5148 grad_norm: 7.4109 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3411 loss: 1.3411 2022/06/28 08:24:54 - mmengine - INFO - Epoch(train) [52][820/3757] lr: 1.000e-03 eta: 13:31:12 time: 0.535 data_time: 0.020 memory: 5148 grad_norm: 6.4410 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6022 loss: 1.6022 2022/06/28 08:25:00 - mmengine - INFO - Epoch(train) [52][840/3757] lr: 1.000e-03 eta: 13:31:06 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 7.4769 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5573 loss: 1.5573 2022/06/28 08:25:06 - mmengine - INFO - Epoch(train) [52][860/3757] lr: 1.000e-03 eta: 13:31:02 time: 0.822 data_time: 0.007 memory: 5148 grad_norm: 6.3381 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5854 loss: 1.5854 2022/06/28 08:25:11 - mmengine - INFO - Epoch(train) [52][880/3757] lr: 1.000e-03 eta: 13:30:56 time: 0.677 data_time: 0.012 memory: 5148 grad_norm: 7.1803 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7489 loss: 1.7489 2022/06/28 08:25:16 - mmengine - INFO - Epoch(train) [52][900/3757] lr: 1.000e-03 eta: 13:30:51 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 8.2266 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5246 loss: 1.5246 2022/06/28 08:25:21 - mmengine - INFO - Epoch(train) [52][920/3757] lr: 1.000e-03 eta: 13:30:46 time: 0.226 data_time: 0.006 memory: 5148 grad_norm: 7.4846 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4121 loss: 1.4121 2022/06/28 08:25:27 - mmengine - INFO - Epoch(train) [52][940/3757] lr: 1.000e-03 eta: 13:30:40 time: 0.927 data_time: 0.016 memory: 5148 grad_norm: 6.4599 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4212 loss: 1.4212 2022/06/28 08:25:32 - mmengine - INFO - Epoch(train) [52][960/3757] lr: 1.000e-03 eta: 13:30:35 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 7.5060 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5463 loss: 1.5463 2022/06/28 08:25:37 - mmengine - INFO - Epoch(train) [52][980/3757] lr: 1.000e-03 eta: 13:30:30 time: 0.222 data_time: 0.007 memory: 5148 grad_norm: 6.0337 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5756 loss: 1.5756 2022/06/28 08:25:43 - mmengine - INFO - Epoch(train) [52][1000/3757] lr: 1.000e-03 eta: 13:30:24 time: 0.883 data_time: 0.008 memory: 5148 grad_norm: 6.8384 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.5341 loss: 1.5341 2022/06/28 08:25:48 - mmengine - INFO - Epoch(train) [52][1020/3757] lr: 1.000e-03 eta: 13:30:19 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 6.8246 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.3333 loss: 1.3333 2022/06/28 08:25:53 - mmengine - INFO - Epoch(train) [52][1040/3757] lr: 1.000e-03 eta: 13:30:13 time: 0.214 data_time: 0.011 memory: 5148 grad_norm: 6.8756 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2267 loss: 1.2267 2022/06/28 08:25:59 - mmengine - INFO - Epoch(train) [52][1060/3757] lr: 1.000e-03 eta: 13:30:09 time: 0.808 data_time: 0.007 memory: 5148 grad_norm: 7.3602 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2661 loss: 1.2661 2022/06/28 08:26:04 - mmengine - INFO - Epoch(train) [52][1080/3757] lr: 1.000e-03 eta: 13:30:03 time: 0.244 data_time: 0.007 memory: 5148 grad_norm: 6.8667 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3160 loss: 1.3160 2022/06/28 08:26:09 - mmengine - INFO - Epoch(train) [52][1100/3757] lr: 1.000e-03 eta: 13:29:58 time: 0.223 data_time: 0.011 memory: 5148 grad_norm: 8.3629 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7552 loss: 1.7552 2022/06/28 08:26:14 - mmengine - INFO - Epoch(train) [52][1120/3757] lr: 1.000e-03 eta: 13:29:52 time: 0.995 data_time: 0.013 memory: 5148 grad_norm: 5.7833 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4460 loss: 1.4460 2022/06/28 08:26:19 - mmengine - INFO - Epoch(train) [52][1140/3757] lr: 1.000e-03 eta: 13:29:46 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 7.0576 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5082 loss: 1.5082 2022/06/28 08:26:25 - mmengine - INFO - Epoch(train) [52][1160/3757] lr: 1.000e-03 eta: 13:29:42 time: 0.763 data_time: 0.008 memory: 5148 grad_norm: 5.7720 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6580 loss: 1.6580 2022/06/28 08:26:31 - mmengine - INFO - Epoch(train) [52][1180/3757] lr: 1.000e-03 eta: 13:29:37 time: 1.134 data_time: 0.014 memory: 5148 grad_norm: 7.3385 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5729 loss: 1.5729 2022/06/28 08:26:36 - mmengine - INFO - Epoch(train) [52][1200/3757] lr: 1.000e-03 eta: 13:29:31 time: 0.216 data_time: 0.009 memory: 5148 grad_norm: 6.6649 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3716 loss: 1.3716 2022/06/28 08:26:41 - mmengine - INFO - Epoch(train) [52][1220/3757] lr: 1.000e-03 eta: 13:29:26 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 5.5406 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3047 loss: 1.3047 2022/06/28 08:26:46 - mmengine - INFO - Epoch(train) [52][1240/3757] lr: 1.000e-03 eta: 13:29:21 time: 0.718 data_time: 0.009 memory: 5148 grad_norm: 6.2190 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2695 loss: 1.2695 2022/06/28 08:26:52 - mmengine - INFO - Epoch(train) [52][1260/3757] lr: 1.000e-03 eta: 13:29:15 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 7.4708 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2788 loss: 1.2788 2022/06/28 08:26:57 - mmengine - INFO - Epoch(train) [52][1280/3757] lr: 1.000e-03 eta: 13:29:10 time: 0.211 data_time: 0.011 memory: 5148 grad_norm: 6.1643 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3892 loss: 1.3892 2022/06/28 08:27:03 - mmengine - INFO - Epoch(train) [52][1300/3757] lr: 1.000e-03 eta: 13:29:05 time: 0.888 data_time: 0.011 memory: 5148 grad_norm: 6.0547 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1550 loss: 1.1550 2022/06/28 08:27:07 - mmengine - INFO - Epoch(train) [52][1320/3757] lr: 1.000e-03 eta: 13:28:59 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 7.2748 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2531 loss: 1.2531 2022/06/28 08:27:12 - mmengine - INFO - Epoch(train) [52][1340/3757] lr: 1.000e-03 eta: 13:28:53 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 6.2389 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5780 loss: 1.5780 2022/06/28 08:27:18 - mmengine - INFO - Epoch(train) [52][1360/3757] lr: 1.000e-03 eta: 13:28:48 time: 0.792 data_time: 0.016 memory: 5148 grad_norm: 6.5998 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6180 loss: 1.6180 2022/06/28 08:27:23 - mmengine - INFO - Epoch(train) [52][1380/3757] lr: 1.000e-03 eta: 13:28:43 time: 0.200 data_time: 0.014 memory: 5148 grad_norm: 6.7536 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2246 loss: 1.2246 2022/06/28 08:27:26 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 08:27:28 - mmengine - INFO - Epoch(train) [52][1400/3757] lr: 1.000e-03 eta: 13:28:37 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 7.0735 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3598 loss: 1.3598 2022/06/28 08:27:34 - mmengine - INFO - Epoch(train) [52][1420/3757] lr: 1.000e-03 eta: 13:28:32 time: 0.804 data_time: 0.021 memory: 5148 grad_norm: 6.7810 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8300 loss: 1.8300 2022/06/28 08:27:39 - mmengine - INFO - Epoch(train) [52][1440/3757] lr: 1.000e-03 eta: 13:28:27 time: 0.212 data_time: 0.011 memory: 5148 grad_norm: 6.7217 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4413 loss: 1.4413 2022/06/28 08:27:45 - mmengine - INFO - Epoch(train) [52][1460/3757] lr: 1.000e-03 eta: 13:28:22 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 6.2417 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8008 loss: 1.8008 2022/06/28 08:27:50 - mmengine - INFO - Epoch(train) [52][1480/3757] lr: 1.000e-03 eta: 13:28:17 time: 0.217 data_time: 0.022 memory: 5148 grad_norm: 6.8063 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5129 loss: 1.5129 2022/06/28 08:27:55 - mmengine - INFO - Epoch(train) [52][1500/3757] lr: 1.000e-03 eta: 13:28:11 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 5.2792 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9251 loss: 1.9251 2022/06/28 08:28:01 - mmengine - INFO - Epoch(train) [52][1520/3757] lr: 1.000e-03 eta: 13:28:06 time: 0.220 data_time: 0.039 memory: 5148 grad_norm: 7.6933 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7029 loss: 1.7029 2022/06/28 08:28:06 - mmengine - INFO - Epoch(train) [52][1540/3757] lr: 1.000e-03 eta: 13:28:01 time: 0.831 data_time: 0.029 memory: 5148 grad_norm: 5.9636 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3292 loss: 1.3292 2022/06/28 08:28:11 - mmengine - INFO - Epoch(train) [52][1560/3757] lr: 1.000e-03 eta: 13:27:55 time: 0.195 data_time: 0.012 memory: 5148 grad_norm: 7.7176 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5792 loss: 1.5792 2022/06/28 08:28:17 - mmengine - INFO - Epoch(train) [52][1580/3757] lr: 1.000e-03 eta: 13:27:50 time: 0.206 data_time: 0.023 memory: 5148 grad_norm: 6.3582 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3117 loss: 1.3117 2022/06/28 08:28:23 - mmengine - INFO - Epoch(train) [52][1600/3757] lr: 1.000e-03 eta: 13:27:45 time: 0.905 data_time: 0.013 memory: 5148 grad_norm: 7.9890 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3446 loss: 1.3446 2022/06/28 08:28:28 - mmengine - INFO - Epoch(train) [52][1620/3757] lr: 1.000e-03 eta: 13:27:40 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 7.3964 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3516 loss: 1.3516 2022/06/28 08:28:33 - mmengine - INFO - Epoch(train) [52][1640/3757] lr: 1.000e-03 eta: 13:27:35 time: 0.209 data_time: 0.027 memory: 5148 grad_norm: 5.6576 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9302 loss: 0.9302 2022/06/28 08:28:39 - mmengine - INFO - Epoch(train) [52][1660/3757] lr: 1.000e-03 eta: 13:27:30 time: 0.777 data_time: 0.006 memory: 5148 grad_norm: 7.5149 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.5901 loss: 1.5901 2022/06/28 08:28:44 - mmengine - INFO - Epoch(train) [52][1680/3757] lr: 1.000e-03 eta: 13:27:24 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 6.4132 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3160 loss: 1.3160 2022/06/28 08:28:50 - mmengine - INFO - Epoch(train) [52][1700/3757] lr: 1.000e-03 eta: 13:27:19 time: 0.229 data_time: 0.048 memory: 5148 grad_norm: 6.6932 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7714 loss: 1.7714 2022/06/28 08:28:54 - mmengine - INFO - Epoch(train) [52][1720/3757] lr: 1.000e-03 eta: 13:27:13 time: 0.348 data_time: 0.008 memory: 5148 grad_norm: 6.6898 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3360 loss: 1.3360 2022/06/28 08:29:00 - mmengine - INFO - Epoch(train) [52][1740/3757] lr: 1.000e-03 eta: 13:27:08 time: 0.194 data_time: 0.012 memory: 5148 grad_norm: 6.4515 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2252 loss: 1.2252 2022/06/28 08:29:05 - mmengine - INFO - Epoch(train) [52][1760/3757] lr: 1.000e-03 eta: 13:27:03 time: 0.909 data_time: 0.728 memory: 5148 grad_norm: 7.0121 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2135 loss: 1.2135 2022/06/28 08:29:11 - mmengine - INFO - Epoch(train) [52][1780/3757] lr: 1.000e-03 eta: 13:26:58 time: 0.261 data_time: 0.007 memory: 5148 grad_norm: 7.3194 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8912 loss: 1.8912 2022/06/28 08:29:15 - mmengine - INFO - Epoch(train) [52][1800/3757] lr: 1.000e-03 eta: 13:26:52 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 7.8518 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0762 loss: 1.0762 2022/06/28 08:29:21 - mmengine - INFO - Epoch(train) [52][1820/3757] lr: 1.000e-03 eta: 13:26:47 time: 0.226 data_time: 0.042 memory: 5148 grad_norm: 6.6046 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3432 loss: 1.3432 2022/06/28 08:29:27 - mmengine - INFO - Epoch(train) [52][1840/3757] lr: 1.000e-03 eta: 13:26:42 time: 0.864 data_time: 0.006 memory: 5148 grad_norm: 5.7780 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3505 loss: 1.3505 2022/06/28 08:29:32 - mmengine - INFO - Epoch(train) [52][1860/3757] lr: 1.000e-03 eta: 13:26:36 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 7.5425 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5334 loss: 1.5334 2022/06/28 08:29:37 - mmengine - INFO - Epoch(train) [52][1880/3757] lr: 1.000e-03 eta: 13:26:31 time: 0.910 data_time: 0.734 memory: 5148 grad_norm: 6.8837 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7409 loss: 1.7409 2022/06/28 08:29:42 - mmengine - INFO - Epoch(train) [52][1900/3757] lr: 1.000e-03 eta: 13:26:25 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 7.0626 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1635 loss: 1.1635 2022/06/28 08:29:47 - mmengine - INFO - Epoch(train) [52][1920/3757] lr: 1.000e-03 eta: 13:26:20 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 7.2226 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3712 loss: 1.3712 2022/06/28 08:29:53 - mmengine - INFO - Epoch(train) [52][1940/3757] lr: 1.000e-03 eta: 13:26:14 time: 0.709 data_time: 0.526 memory: 5148 grad_norm: 8.6788 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5945 loss: 1.5945 2022/06/28 08:29:57 - mmengine - INFO - Epoch(train) [52][1960/3757] lr: 1.000e-03 eta: 13:26:09 time: 0.249 data_time: 0.007 memory: 5148 grad_norm: 7.7722 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9110 loss: 1.9110 2022/06/28 08:30:03 - mmengine - INFO - Epoch(train) [52][1980/3757] lr: 1.000e-03 eta: 13:26:04 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.8916 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2586 loss: 1.2586 2022/06/28 08:30:09 - mmengine - INFO - Epoch(train) [52][2000/3757] lr: 1.000e-03 eta: 13:25:59 time: 1.078 data_time: 0.774 memory: 5148 grad_norm: 6.3988 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0155 loss: 1.0155 2022/06/28 08:30:14 - mmengine - INFO - Epoch(train) [52][2020/3757] lr: 1.000e-03 eta: 13:25:53 time: 0.214 data_time: 0.008 memory: 5148 grad_norm: 5.8357 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7526 loss: 1.7526 2022/06/28 08:30:20 - mmengine - INFO - Epoch(train) [52][2040/3757] lr: 1.000e-03 eta: 13:25:48 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 6.6635 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1646 loss: 1.1646 2022/06/28 08:30:25 - mmengine - INFO - Epoch(train) [52][2060/3757] lr: 1.000e-03 eta: 13:25:43 time: 0.904 data_time: 0.726 memory: 5148 grad_norm: 6.3066 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0748 loss: 1.0748 2022/06/28 08:30:30 - mmengine - INFO - Epoch(train) [52][2080/3757] lr: 1.000e-03 eta: 13:25:38 time: 0.225 data_time: 0.006 memory: 5148 grad_norm: 6.8146 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2471 loss: 1.2471 2022/06/28 08:30:35 - mmengine - INFO - Epoch(train) [52][2100/3757] lr: 1.000e-03 eta: 13:25:32 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 6.9729 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1110 loss: 1.1110 2022/06/28 08:30:41 - mmengine - INFO - Epoch(train) [52][2120/3757] lr: 1.000e-03 eta: 13:25:27 time: 0.726 data_time: 0.547 memory: 5148 grad_norm: 7.5329 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4684 loss: 1.4684 2022/06/28 08:30:46 - mmengine - INFO - Epoch(train) [52][2140/3757] lr: 1.000e-03 eta: 13:25:21 time: 0.219 data_time: 0.007 memory: 5148 grad_norm: 8.0188 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0262 loss: 2.0262 2022/06/28 08:30:51 - mmengine - INFO - Epoch(train) [52][2160/3757] lr: 1.000e-03 eta: 13:25:16 time: 0.192 data_time: 0.008 memory: 5148 grad_norm: 6.9186 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1298 loss: 1.1298 2022/06/28 08:30:57 - mmengine - INFO - Epoch(train) [52][2180/3757] lr: 1.000e-03 eta: 13:25:11 time: 0.215 data_time: 0.039 memory: 5148 grad_norm: 6.4243 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5389 loss: 1.5389 2022/06/28 08:31:02 - mmengine - INFO - Epoch(train) [52][2200/3757] lr: 1.000e-03 eta: 13:25:05 time: 0.306 data_time: 0.013 memory: 5148 grad_norm: 6.6463 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3315 loss: 1.3315 2022/06/28 08:31:07 - mmengine - INFO - Epoch(train) [52][2220/3757] lr: 1.000e-03 eta: 13:25:00 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 7.0505 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3228 loss: 1.3228 2022/06/28 08:31:12 - mmengine - INFO - Epoch(train) [52][2240/3757] lr: 1.000e-03 eta: 13:24:55 time: 0.204 data_time: 0.026 memory: 5148 grad_norm: 5.9413 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6916 loss: 1.6916 2022/06/28 08:31:18 - mmengine - INFO - Epoch(train) [52][2260/3757] lr: 1.000e-03 eta: 13:24:49 time: 0.204 data_time: 0.014 memory: 5148 grad_norm: 6.9185 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3578 loss: 1.3578 2022/06/28 08:31:23 - mmengine - INFO - Epoch(train) [52][2280/3757] lr: 1.000e-03 eta: 13:24:44 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 7.2123 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7573 loss: 1.7573 2022/06/28 08:31:29 - mmengine - INFO - Epoch(train) [52][2300/3757] lr: 1.000e-03 eta: 13:24:39 time: 0.230 data_time: 0.032 memory: 5148 grad_norm: 7.2713 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0642 loss: 1.0642 2022/06/28 08:31:34 - mmengine - INFO - Epoch(train) [52][2320/3757] lr: 1.000e-03 eta: 13:24:34 time: 0.199 data_time: 0.014 memory: 5148 grad_norm: 7.3038 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4465 loss: 1.4465 2022/06/28 08:31:40 - mmengine - INFO - Epoch(train) [52][2340/3757] lr: 1.000e-03 eta: 13:24:29 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 6.7687 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6058 loss: 1.6058 2022/06/28 08:31:45 - mmengine - INFO - Epoch(train) [52][2360/3757] lr: 1.000e-03 eta: 13:24:23 time: 0.250 data_time: 0.023 memory: 5148 grad_norm: 7.3705 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6227 loss: 1.6227 2022/06/28 08:31:50 - mmengine - INFO - Epoch(train) [52][2380/3757] lr: 1.000e-03 eta: 13:24:18 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.8924 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5424 loss: 1.5424 2022/06/28 08:31:54 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 08:31:56 - mmengine - INFO - Epoch(train) [52][2400/3757] lr: 1.000e-03 eta: 13:24:13 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 7.3046 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4921 loss: 1.4921 2022/06/28 08:32:01 - mmengine - INFO - Epoch(train) [52][2420/3757] lr: 1.000e-03 eta: 13:24:08 time: 0.217 data_time: 0.013 memory: 5148 grad_norm: 7.2538 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6837 loss: 1.6837 2022/06/28 08:32:06 - mmengine - INFO - Epoch(train) [52][2440/3757] lr: 1.000e-03 eta: 13:24:02 time: 0.196 data_time: 0.012 memory: 5148 grad_norm: 6.4706 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1454 loss: 1.1454 2022/06/28 08:32:11 - mmengine - INFO - Epoch(train) [52][2460/3757] lr: 1.000e-03 eta: 13:23:56 time: 0.199 data_time: 0.015 memory: 5148 grad_norm: 5.8925 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2233 loss: 1.2233 2022/06/28 08:32:16 - mmengine - INFO - Epoch(train) [52][2480/3757] lr: 1.000e-03 eta: 13:23:51 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 7.2598 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4480 loss: 1.4480 2022/06/28 08:32:22 - mmengine - INFO - Epoch(train) [52][2500/3757] lr: 1.000e-03 eta: 13:23:46 time: 0.203 data_time: 0.017 memory: 5148 grad_norm: 6.3258 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7350 loss: 1.7350 2022/06/28 08:32:27 - mmengine - INFO - Epoch(train) [52][2520/3757] lr: 1.000e-03 eta: 13:23:41 time: 0.202 data_time: 0.009 memory: 5148 grad_norm: 6.2559 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3307 loss: 1.3307 2022/06/28 08:32:33 - mmengine - INFO - Epoch(train) [52][2540/3757] lr: 1.000e-03 eta: 13:23:35 time: 0.199 data_time: 0.014 memory: 5148 grad_norm: 6.9783 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6060 loss: 1.6060 2022/06/28 08:32:38 - mmengine - INFO - Epoch(train) [52][2560/3757] lr: 1.000e-03 eta: 13:23:30 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 6.0634 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1886 loss: 1.1886 2022/06/28 08:32:43 - mmengine - INFO - Epoch(train) [52][2580/3757] lr: 1.000e-03 eta: 13:23:25 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 5.2414 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6141 loss: 1.6141 2022/06/28 08:32:48 - mmengine - INFO - Epoch(train) [52][2600/3757] lr: 1.000e-03 eta: 13:23:19 time: 0.208 data_time: 0.014 memory: 5148 grad_norm: 6.8722 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6086 loss: 1.6086 2022/06/28 08:32:54 - mmengine - INFO - Epoch(train) [52][2620/3757] lr: 1.000e-03 eta: 13:23:14 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 7.7221 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8143 loss: 1.8143 2022/06/28 08:32:59 - mmengine - INFO - Epoch(train) [52][2640/3757] lr: 1.000e-03 eta: 13:23:09 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 7.0966 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.1678 loss: 1.1678 2022/06/28 08:33:04 - mmengine - INFO - Epoch(train) [52][2660/3757] lr: 1.000e-03 eta: 13:23:03 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 7.2247 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4276 loss: 1.4276 2022/06/28 08:33:10 - mmengine - INFO - Epoch(train) [52][2680/3757] lr: 1.000e-03 eta: 13:22:58 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 6.8634 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3545 loss: 1.3545 2022/06/28 08:33:15 - mmengine - INFO - Epoch(train) [52][2700/3757] lr: 1.000e-03 eta: 13:22:53 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 6.0704 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2825 loss: 1.2825 2022/06/28 08:33:21 - mmengine - INFO - Epoch(train) [52][2720/3757] lr: 1.000e-03 eta: 13:22:48 time: 0.199 data_time: 0.016 memory: 5148 grad_norm: 6.2380 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6645 loss: 1.6645 2022/06/28 08:33:26 - mmengine - INFO - Epoch(train) [52][2740/3757] lr: 1.000e-03 eta: 13:22:42 time: 0.197 data_time: 0.012 memory: 5148 grad_norm: 6.7420 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.1888 loss: 1.1888 2022/06/28 08:33:31 - mmengine - INFO - Epoch(train) [52][2760/3757] lr: 1.000e-03 eta: 13:22:37 time: 0.206 data_time: 0.015 memory: 5148 grad_norm: 6.1151 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2475 loss: 1.2475 2022/06/28 08:33:37 - mmengine - INFO - Epoch(train) [52][2780/3757] lr: 1.000e-03 eta: 13:22:32 time: 0.203 data_time: 0.018 memory: 5148 grad_norm: 6.3774 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2389 loss: 1.2389 2022/06/28 08:33:42 - mmengine - INFO - Epoch(train) [52][2800/3757] lr: 1.000e-03 eta: 13:22:26 time: 0.215 data_time: 0.008 memory: 5148 grad_norm: 8.2667 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4903 loss: 1.4903 2022/06/28 08:33:48 - mmengine - INFO - Epoch(train) [52][2820/3757] lr: 1.000e-03 eta: 13:22:21 time: 0.199 data_time: 0.014 memory: 5148 grad_norm: 6.7206 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3884 loss: 1.3884 2022/06/28 08:33:53 - mmengine - INFO - Epoch(train) [52][2840/3757] lr: 1.000e-03 eta: 13:22:16 time: 0.198 data_time: 0.018 memory: 5148 grad_norm: 6.8085 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6571 loss: 1.6571 2022/06/28 08:33:58 - mmengine - INFO - Epoch(train) [52][2860/3757] lr: 1.000e-03 eta: 13:22:11 time: 0.211 data_time: 0.010 memory: 5148 grad_norm: 6.5727 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2543 loss: 1.2543 2022/06/28 08:34:03 - mmengine - INFO - Epoch(train) [52][2880/3757] lr: 1.000e-03 eta: 13:22:05 time: 0.200 data_time: 0.009 memory: 5148 grad_norm: 7.0556 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2438 loss: 1.2438 2022/06/28 08:34:09 - mmengine - INFO - Epoch(train) [52][2900/3757] lr: 1.000e-03 eta: 13:22:00 time: 0.204 data_time: 0.014 memory: 5148 grad_norm: 6.8529 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7050 loss: 1.7050 2022/06/28 08:34:14 - mmengine - INFO - Epoch(train) [52][2920/3757] lr: 1.000e-03 eta: 13:21:55 time: 0.212 data_time: 0.010 memory: 5148 grad_norm: 6.5334 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1280 loss: 1.1280 2022/06/28 08:34:20 - mmengine - INFO - Epoch(train) [52][2940/3757] lr: 1.000e-03 eta: 13:21:50 time: 0.223 data_time: 0.044 memory: 5148 grad_norm: 6.1185 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3548 loss: 1.3548 2022/06/28 08:34:26 - mmengine - INFO - Epoch(train) [52][2960/3757] lr: 1.000e-03 eta: 13:21:45 time: 0.202 data_time: 0.015 memory: 5148 grad_norm: 7.5853 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6102 loss: 1.6102 2022/06/28 08:34:30 - mmengine - INFO - Epoch(train) [52][2980/3757] lr: 1.000e-03 eta: 13:21:39 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.4193 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7842 loss: 1.7842 2022/06/28 08:34:36 - mmengine - INFO - Epoch(train) [52][3000/3757] lr: 1.000e-03 eta: 13:21:34 time: 0.196 data_time: 0.014 memory: 5148 grad_norm: 6.0368 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2338 loss: 1.2338 2022/06/28 08:34:41 - mmengine - INFO - Epoch(train) [52][3020/3757] lr: 1.000e-03 eta: 13:21:29 time: 0.196 data_time: 0.013 memory: 5148 grad_norm: 6.1779 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2582 loss: 1.2582 2022/06/28 08:34:47 - mmengine - INFO - Epoch(train) [52][3040/3757] lr: 1.000e-03 eta: 13:21:23 time: 0.230 data_time: 0.010 memory: 5148 grad_norm: 6.2187 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6867 loss: 1.6867 2022/06/28 08:34:52 - mmengine - INFO - Epoch(train) [52][3060/3757] lr: 1.000e-03 eta: 13:21:18 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 7.1233 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5167 loss: 1.5167 2022/06/28 08:34:57 - mmengine - INFO - Epoch(train) [52][3080/3757] lr: 1.000e-03 eta: 13:21:12 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 6.5627 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4087 loss: 1.4087 2022/06/28 08:35:02 - mmengine - INFO - Epoch(train) [52][3100/3757] lr: 1.000e-03 eta: 13:21:07 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 6.6936 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3756 loss: 1.3756 2022/06/28 08:35:07 - mmengine - INFO - Epoch(train) [52][3120/3757] lr: 1.000e-03 eta: 13:21:02 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.8242 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5225 loss: 1.5225 2022/06/28 08:35:13 - mmengine - INFO - Epoch(train) [52][3140/3757] lr: 1.000e-03 eta: 13:20:56 time: 0.214 data_time: 0.008 memory: 5148 grad_norm: 6.8211 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6178 loss: 1.6178 2022/06/28 08:35:19 - mmengine - INFO - Epoch(train) [52][3160/3757] lr: 1.000e-03 eta: 13:20:52 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 6.9361 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1887 loss: 1.1887 2022/06/28 08:35:24 - mmengine - INFO - Epoch(train) [52][3180/3757] lr: 1.000e-03 eta: 13:20:46 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 7.2058 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6055 loss: 1.6055 2022/06/28 08:35:29 - mmengine - INFO - Epoch(train) [52][3200/3757] lr: 1.000e-03 eta: 13:20:41 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.5869 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5314 loss: 1.5314 2022/06/28 08:35:35 - mmengine - INFO - Epoch(train) [52][3220/3757] lr: 1.000e-03 eta: 13:20:36 time: 0.196 data_time: 0.013 memory: 5148 grad_norm: 6.9805 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2631 loss: 1.2631 2022/06/28 08:35:40 - mmengine - INFO - Epoch(train) [52][3240/3757] lr: 1.000e-03 eta: 13:20:31 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 6.8051 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4492 loss: 1.4492 2022/06/28 08:35:45 - mmengine - INFO - Epoch(train) [52][3260/3757] lr: 1.000e-03 eta: 13:20:25 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 6.6293 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2981 loss: 1.2981 2022/06/28 08:35:51 - mmengine - INFO - Epoch(train) [52][3280/3757] lr: 1.000e-03 eta: 13:20:20 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 6.0650 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6394 loss: 1.6394 2022/06/28 08:35:55 - mmengine - INFO - Epoch(train) [52][3300/3757] lr: 1.000e-03 eta: 13:20:14 time: 0.208 data_time: 0.013 memory: 5148 grad_norm: 5.9751 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4653 loss: 1.4653 2022/06/28 08:36:00 - mmengine - INFO - Epoch(train) [52][3320/3757] lr: 1.000e-03 eta: 13:20:08 time: 0.227 data_time: 0.042 memory: 5148 grad_norm: 8.1999 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1748 loss: 1.1748 2022/06/28 08:36:06 - mmengine - INFO - Epoch(train) [52][3340/3757] lr: 1.000e-03 eta: 13:20:03 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 6.7651 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8748 loss: 1.8748 2022/06/28 08:36:12 - mmengine - INFO - Epoch(train) [52][3360/3757] lr: 1.000e-03 eta: 13:19:59 time: 0.197 data_time: 0.015 memory: 5148 grad_norm: 8.0246 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3599 loss: 1.3599 2022/06/28 08:36:17 - mmengine - INFO - Epoch(train) [52][3380/3757] lr: 1.000e-03 eta: 13:19:53 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 7.3386 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3249 loss: 1.3249 2022/06/28 08:36:21 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 08:36:22 - mmengine - INFO - Epoch(train) [52][3400/3757] lr: 1.000e-03 eta: 13:19:48 time: 0.202 data_time: 0.012 memory: 5148 grad_norm: 7.5814 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6050 loss: 1.6050 2022/06/28 08:36:27 - mmengine - INFO - Epoch(train) [52][3420/3757] lr: 1.000e-03 eta: 13:19:42 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 7.4784 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2333 loss: 1.2333 2022/06/28 08:36:33 - mmengine - INFO - Epoch(train) [52][3440/3757] lr: 1.000e-03 eta: 13:19:37 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 6.8406 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2362 loss: 1.2362 2022/06/28 08:36:38 - mmengine - INFO - Epoch(train) [52][3460/3757] lr: 1.000e-03 eta: 13:19:32 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 7.0445 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4420 loss: 1.4420 2022/06/28 08:36:44 - mmengine - INFO - Epoch(train) [52][3480/3757] lr: 1.000e-03 eta: 13:19:26 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.5187 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6061 loss: 1.6061 2022/06/28 08:36:49 - mmengine - INFO - Epoch(train) [52][3500/3757] lr: 1.000e-03 eta: 13:19:21 time: 0.205 data_time: 0.012 memory: 5148 grad_norm: 7.9628 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3288 loss: 1.3288 2022/06/28 08:36:54 - mmengine - INFO - Epoch(train) [52][3520/3757] lr: 1.000e-03 eta: 13:19:16 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 7.2672 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3379 loss: 1.3379 2022/06/28 08:37:00 - mmengine - INFO - Epoch(train) [52][3540/3757] lr: 1.000e-03 eta: 13:19:11 time: 0.193 data_time: 0.011 memory: 5148 grad_norm: 6.1698 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3016 loss: 1.3016 2022/06/28 08:37:05 - mmengine - INFO - Epoch(train) [52][3560/3757] lr: 1.000e-03 eta: 13:19:05 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 7.1261 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6570 loss: 1.6570 2022/06/28 08:37:11 - mmengine - INFO - Epoch(train) [52][3580/3757] lr: 1.000e-03 eta: 13:19:01 time: 0.225 data_time: 0.023 memory: 5148 grad_norm: 7.6336 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3808 loss: 1.3808 2022/06/28 08:37:15 - mmengine - INFO - Epoch(train) [52][3600/3757] lr: 1.000e-03 eta: 13:18:54 time: 0.203 data_time: 0.016 memory: 5148 grad_norm: 6.2186 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2307 loss: 1.2307 2022/06/28 08:37:20 - mmengine - INFO - Epoch(train) [52][3620/3757] lr: 1.000e-03 eta: 13:18:49 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 7.1197 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6326 loss: 1.6326 2022/06/28 08:37:26 - mmengine - INFO - Epoch(train) [52][3640/3757] lr: 1.000e-03 eta: 13:18:43 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.7261 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1426 loss: 1.1426 2022/06/28 08:37:31 - mmengine - INFO - Epoch(train) [52][3660/3757] lr: 1.000e-03 eta: 13:18:39 time: 0.196 data_time: 0.012 memory: 5148 grad_norm: 6.0405 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1519 loss: 1.1519 2022/06/28 08:37:36 - mmengine - INFO - Epoch(train) [52][3680/3757] lr: 1.000e-03 eta: 13:18:33 time: 0.207 data_time: 0.006 memory: 5148 grad_norm: 6.2693 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4154 loss: 1.4154 2022/06/28 08:37:42 - mmengine - INFO - Epoch(train) [52][3700/3757] lr: 1.000e-03 eta: 13:18:28 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 6.4671 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4804 loss: 1.4804 2022/06/28 08:37:47 - mmengine - INFO - Epoch(train) [52][3720/3757] lr: 1.000e-03 eta: 13:18:22 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.1625 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6706 loss: 1.6706 2022/06/28 08:37:52 - mmengine - INFO - Epoch(train) [52][3740/3757] lr: 1.000e-03 eta: 13:18:17 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 7.1514 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9026 loss: 0.9026 2022/06/28 08:37:55 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 08:38:02 - mmengine - INFO - Epoch(val) [52][20/310] eta: 0:01:19 time: 0.468 data_time: 0.396 memory: 5148 2022/06/28 08:38:07 - mmengine - INFO - Epoch(val) [52][40/310] eta: 0:00:55 time: 0.084 data_time: 0.009 memory: 1367 2022/06/28 08:38:13 - mmengine - INFO - Epoch(val) [52][60/310] eta: 0:00:55 time: 0.080 data_time: 0.009 memory: 1367 2022/06/28 08:38:17 - mmengine - INFO - Epoch(val) [52][80/310] eta: 0:00:56 time: 0.107 data_time: 0.035 memory: 1367 2022/06/28 08:38:23 - mmengine - INFO - Epoch(val) [52][100/310] eta: 0:00:47 time: 0.081 data_time: 0.009 memory: 1367 2022/06/28 08:38:28 - mmengine - INFO - Epoch(val) [52][120/310] eta: 0:00:49 time: 0.303 data_time: 0.227 memory: 1367 2022/06/28 08:38:34 - mmengine - INFO - Epoch(val) [52][140/310] eta: 0:00:54 time: 1.065 data_time: 0.985 memory: 1367 2022/06/28 08:38:39 - mmengine - INFO - Epoch(val) [52][160/310] eta: 0:00:38 time: 0.349 data_time: 0.277 memory: 1367 2022/06/28 08:38:45 - mmengine - INFO - Epoch(val) [52][180/310] eta: 0:00:45 time: 0.955 data_time: 0.883 memory: 1367 2022/06/28 08:38:50 - mmengine - INFO - Epoch(val) [52][200/310] eta: 0:00:27 time: 0.089 data_time: 0.012 memory: 1367 2022/06/28 08:38:55 - mmengine - INFO - Epoch(val) [52][220/310] eta: 0:00:33 time: 0.123 data_time: 0.046 memory: 1367 2022/06/28 08:39:00 - mmengine - INFO - Epoch(val) [52][240/310] eta: 0:00:16 time: 0.083 data_time: 0.009 memory: 1367 2022/06/28 08:39:06 - mmengine - INFO - Epoch(val) [52][260/310] eta: 0:00:19 time: 0.219 data_time: 0.143 memory: 1367 2022/06/28 08:39:11 - mmengine - INFO - Epoch(val) [52][280/310] eta: 0:00:06 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 08:39:16 - mmengine - INFO - Epoch(val) [52][300/310] eta: 0:00:03 time: 0.110 data_time: 0.033 memory: 1367 2022/06/28 08:39:19 - mmengine - INFO - Epoch(val) [52][310/310] acc/top1: 0.6435 acc/top5: 0.8535 acc/mean1: 0.6434 2022/06/28 08:39:28 - mmengine - INFO - Epoch(train) [53][20/3757] lr: 1.000e-03 eta: 13:18:07 time: 0.192 data_time: 0.008 memory: 5148 grad_norm: 7.3245 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4772 loss: 1.4772 2022/06/28 08:39:34 - mmengine - INFO - Epoch(train) [53][40/3757] lr: 1.000e-03 eta: 13:18:02 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 7.3088 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3428 loss: 1.3428 2022/06/28 08:39:38 - mmengine - INFO - Epoch(train) [53][60/3757] lr: 1.000e-03 eta: 13:17:57 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 6.2351 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6231 loss: 1.6231 2022/06/28 08:39:44 - mmengine - INFO - Epoch(train) [53][80/3757] lr: 1.000e-03 eta: 13:17:52 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 6.6403 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2473 loss: 1.2473 2022/06/28 08:39:51 - mmengine - INFO - Epoch(train) [53][100/3757] lr: 1.000e-03 eta: 13:17:47 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 8.5981 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5265 loss: 1.5265 2022/06/28 08:39:55 - mmengine - INFO - Epoch(train) [53][120/3757] lr: 1.000e-03 eta: 13:17:41 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 6.4920 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1895 loss: 1.1895 2022/06/28 08:40:00 - mmengine - INFO - Epoch(train) [53][140/3757] lr: 1.000e-03 eta: 13:17:36 time: 0.203 data_time: 0.009 memory: 5148 grad_norm: 7.4404 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7869 loss: 1.7869 2022/06/28 08:40:06 - mmengine - INFO - Epoch(train) [53][160/3757] lr: 1.000e-03 eta: 13:17:31 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.5983 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4046 loss: 1.4046 2022/06/28 08:40:11 - mmengine - INFO - Epoch(train) [53][180/3757] lr: 1.000e-03 eta: 13:17:25 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 5.8712 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7111 loss: 1.7111 2022/06/28 08:40:16 - mmengine - INFO - Epoch(train) [53][200/3757] lr: 1.000e-03 eta: 13:17:20 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 6.3506 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2856 loss: 1.2856 2022/06/28 08:40:22 - mmengine - INFO - Epoch(train) [53][220/3757] lr: 1.000e-03 eta: 13:17:15 time: 0.194 data_time: 0.006 memory: 5148 grad_norm: 5.8636 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4706 loss: 1.4706 2022/06/28 08:40:26 - mmengine - INFO - Epoch(train) [53][240/3757] lr: 1.000e-03 eta: 13:17:09 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 6.4650 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3353 loss: 1.3353 2022/06/28 08:40:32 - mmengine - INFO - Epoch(train) [53][260/3757] lr: 1.000e-03 eta: 13:17:04 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 7.2713 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6012 loss: 1.6012 2022/06/28 08:40:37 - mmengine - INFO - Epoch(train) [53][280/3757] lr: 1.000e-03 eta: 13:16:59 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 7.2169 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1968 loss: 1.1968 2022/06/28 08:40:42 - mmengine - INFO - Epoch(train) [53][300/3757] lr: 1.000e-03 eta: 13:16:53 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 7.0079 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.6915 loss: 1.6915 2022/06/28 08:40:48 - mmengine - INFO - Epoch(train) [53][320/3757] lr: 1.000e-03 eta: 13:16:48 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 5.7083 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3389 loss: 1.3389 2022/06/28 08:40:53 - mmengine - INFO - Epoch(train) [53][340/3757] lr: 1.000e-03 eta: 13:16:43 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.2350 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1799 loss: 1.1799 2022/06/28 08:40:58 - mmengine - INFO - Epoch(train) [53][360/3757] lr: 1.000e-03 eta: 13:16:37 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.6609 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5360 loss: 1.5360 2022/06/28 08:41:04 - mmengine - INFO - Epoch(train) [53][380/3757] lr: 1.000e-03 eta: 13:16:32 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 6.9718 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5129 loss: 1.5129 2022/06/28 08:41:09 - mmengine - INFO - Epoch(train) [53][400/3757] lr: 1.000e-03 eta: 13:16:27 time: 0.227 data_time: 0.011 memory: 5148 grad_norm: 6.0757 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5262 loss: 1.5262 2022/06/28 08:41:14 - mmengine - INFO - Epoch(train) [53][420/3757] lr: 1.000e-03 eta: 13:16:21 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 7.2538 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3807 loss: 1.3807 2022/06/28 08:41:20 - mmengine - INFO - Epoch(train) [53][440/3757] lr: 1.000e-03 eta: 13:16:16 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.8267 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4481 loss: 1.4481 2022/06/28 08:41:25 - mmengine - INFO - Epoch(train) [53][460/3757] lr: 1.000e-03 eta: 13:16:11 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 7.6114 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6133 loss: 1.6133 2022/06/28 08:41:30 - mmengine - INFO - Epoch(train) [53][480/3757] lr: 1.000e-03 eta: 13:16:05 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 7.9994 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1706 loss: 1.1706 2022/06/28 08:41:35 - mmengine - INFO - Epoch(train) [53][500/3757] lr: 1.000e-03 eta: 13:15:59 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 6.5599 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3175 loss: 1.3175 2022/06/28 08:41:41 - mmengine - INFO - Epoch(train) [53][520/3757] lr: 1.000e-03 eta: 13:15:55 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 6.8912 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9693 loss: 0.9693 2022/06/28 08:41:46 - mmengine - INFO - Epoch(train) [53][540/3757] lr: 1.000e-03 eta: 13:15:49 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 6.2700 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8787 loss: 1.8787 2022/06/28 08:41:51 - mmengine - INFO - Epoch(train) [53][560/3757] lr: 1.000e-03 eta: 13:15:44 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.4979 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4994 loss: 1.4994 2022/06/28 08:41:57 - mmengine - INFO - Epoch(train) [53][580/3757] lr: 1.000e-03 eta: 13:15:39 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 7.5460 top1_acc: 0.1250 top5_acc: 1.0000 loss_cls: 1.1732 loss: 1.1732 2022/06/28 08:42:02 - mmengine - INFO - Epoch(train) [53][600/3757] lr: 1.000e-03 eta: 13:15:33 time: 0.193 data_time: 0.012 memory: 5148 grad_norm: 7.0645 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7879 loss: 1.7879 2022/06/28 08:42:07 - mmengine - INFO - Epoch(train) [53][620/3757] lr: 1.000e-03 eta: 13:15:27 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 6.6219 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4195 loss: 1.4195 2022/06/28 08:42:11 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 08:42:12 - mmengine - INFO - Epoch(train) [53][640/3757] lr: 1.000e-03 eta: 13:15:22 time: 0.212 data_time: 0.008 memory: 5148 grad_norm: 6.4539 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2370 loss: 1.2370 2022/06/28 08:42:18 - mmengine - INFO - Epoch(train) [53][660/3757] lr: 1.000e-03 eta: 13:15:17 time: 0.206 data_time: 0.012 memory: 5148 grad_norm: 6.7271 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1263 loss: 1.1263 2022/06/28 08:42:23 - mmengine - INFO - Epoch(train) [53][680/3757] lr: 1.000e-03 eta: 13:15:11 time: 0.211 data_time: 0.008 memory: 5148 grad_norm: 6.0930 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3413 loss: 1.3413 2022/06/28 08:42:29 - mmengine - INFO - Epoch(train) [53][700/3757] lr: 1.000e-03 eta: 13:15:07 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 6.7769 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3876 loss: 1.3876 2022/06/28 08:42:34 - mmengine - INFO - Epoch(train) [53][720/3757] lr: 1.000e-03 eta: 13:15:01 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 7.7858 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2827 loss: 1.2827 2022/06/28 08:42:39 - mmengine - INFO - Epoch(train) [53][740/3757] lr: 1.000e-03 eta: 13:14:55 time: 0.213 data_time: 0.008 memory: 5148 grad_norm: 7.5394 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8652 loss: 1.8652 2022/06/28 08:42:44 - mmengine - INFO - Epoch(train) [53][760/3757] lr: 1.000e-03 eta: 13:14:50 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 7.1435 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2997 loss: 1.2997 2022/06/28 08:42:49 - mmengine - INFO - Epoch(train) [53][780/3757] lr: 1.000e-03 eta: 13:14:45 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 6.0185 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9617 loss: 1.9617 2022/06/28 08:42:55 - mmengine - INFO - Epoch(train) [53][800/3757] lr: 1.000e-03 eta: 13:14:40 time: 0.218 data_time: 0.007 memory: 5148 grad_norm: 7.9852 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1906 loss: 1.1906 2022/06/28 08:43:00 - mmengine - INFO - Epoch(train) [53][820/3757] lr: 1.000e-03 eta: 13:14:35 time: 0.201 data_time: 0.012 memory: 5148 grad_norm: 6.6899 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3606 loss: 1.3606 2022/06/28 08:43:06 - mmengine - INFO - Epoch(train) [53][840/3757] lr: 1.000e-03 eta: 13:14:29 time: 0.639 data_time: 0.011 memory: 5148 grad_norm: 6.5818 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3002 loss: 1.3002 2022/06/28 08:43:11 - mmengine - INFO - Epoch(train) [53][860/3757] lr: 1.000e-03 eta: 13:14:24 time: 0.206 data_time: 0.017 memory: 5148 grad_norm: 7.8147 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3026 loss: 1.3026 2022/06/28 08:43:16 - mmengine - INFO - Epoch(train) [53][880/3757] lr: 1.000e-03 eta: 13:14:18 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 6.2147 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4904 loss: 1.4904 2022/06/28 08:43:21 - mmengine - INFO - Epoch(train) [53][900/3757] lr: 1.000e-03 eta: 13:14:13 time: 0.571 data_time: 0.015 memory: 5148 grad_norm: 6.6892 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4160 loss: 1.4160 2022/06/28 08:43:26 - mmengine - INFO - Epoch(train) [53][920/3757] lr: 1.000e-03 eta: 13:14:07 time: 0.205 data_time: 0.016 memory: 5148 grad_norm: 6.6157 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4798 loss: 1.4798 2022/06/28 08:43:32 - mmengine - INFO - Epoch(train) [53][940/3757] lr: 1.000e-03 eta: 13:14:02 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 6.7985 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4585 loss: 1.4585 2022/06/28 08:43:38 - mmengine - INFO - Epoch(train) [53][960/3757] lr: 1.000e-03 eta: 13:13:57 time: 0.880 data_time: 0.010 memory: 5148 grad_norm: 7.7027 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5536 loss: 1.5536 2022/06/28 08:43:42 - mmengine - INFO - Epoch(train) [53][980/3757] lr: 1.000e-03 eta: 13:13:51 time: 0.197 data_time: 0.016 memory: 5148 grad_norm: 7.0441 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.5403 loss: 1.5403 2022/06/28 08:43:48 - mmengine - INFO - Epoch(train) [53][1000/3757] lr: 1.000e-03 eta: 13:13:47 time: 0.199 data_time: 0.019 memory: 5148 grad_norm: 5.7824 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4185 loss: 1.4185 2022/06/28 08:43:54 - mmengine - INFO - Epoch(train) [53][1020/3757] lr: 1.000e-03 eta: 13:13:42 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.1203 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7969 loss: 1.7969 2022/06/28 08:43:59 - mmengine - INFO - Epoch(train) [53][1040/3757] lr: 1.000e-03 eta: 13:13:36 time: 0.202 data_time: 0.023 memory: 5148 grad_norm: 6.3273 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4341 loss: 1.4341 2022/06/28 08:44:04 - mmengine - INFO - Epoch(train) [53][1060/3757] lr: 1.000e-03 eta: 13:13:31 time: 0.201 data_time: 0.018 memory: 5148 grad_norm: 7.0044 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9742 loss: 0.9742 2022/06/28 08:44:10 - mmengine - INFO - Epoch(train) [53][1080/3757] lr: 1.000e-03 eta: 13:13:25 time: 0.218 data_time: 0.020 memory: 5148 grad_norm: 7.1451 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5472 loss: 1.5472 2022/06/28 08:44:15 - mmengine - INFO - Epoch(train) [53][1100/3757] lr: 1.000e-03 eta: 13:13:20 time: 0.203 data_time: 0.013 memory: 5148 grad_norm: 5.6914 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6572 loss: 1.6572 2022/06/28 08:44:20 - mmengine - INFO - Epoch(train) [53][1120/3757] lr: 1.000e-03 eta: 13:13:15 time: 0.199 data_time: 0.015 memory: 5148 grad_norm: 5.4748 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3138 loss: 1.3138 2022/06/28 08:44:25 - mmengine - INFO - Epoch(train) [53][1140/3757] lr: 1.000e-03 eta: 13:13:09 time: 0.214 data_time: 0.024 memory: 5148 grad_norm: 6.5355 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5050 loss: 1.5050 2022/06/28 08:44:30 - mmengine - INFO - Epoch(train) [53][1160/3757] lr: 1.000e-03 eta: 13:13:03 time: 0.209 data_time: 0.011 memory: 5148 grad_norm: 5.9377 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5826 loss: 1.5826 2022/06/28 08:44:36 - mmengine - INFO - Epoch(train) [53][1180/3757] lr: 1.000e-03 eta: 13:12:59 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 6.7592 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4897 loss: 1.4897 2022/06/28 08:44:41 - mmengine - INFO - Epoch(train) [53][1200/3757] lr: 1.000e-03 eta: 13:12:53 time: 0.204 data_time: 0.029 memory: 5148 grad_norm: 7.2629 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5741 loss: 1.5741 2022/06/28 08:44:47 - mmengine - INFO - Epoch(train) [53][1220/3757] lr: 1.000e-03 eta: 13:12:48 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 6.9569 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2458 loss: 1.2458 2022/06/28 08:44:52 - mmengine - INFO - Epoch(train) [53][1240/3757] lr: 1.000e-03 eta: 13:12:43 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 6.3534 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4926 loss: 1.4926 2022/06/28 08:44:58 - mmengine - INFO - Epoch(train) [53][1260/3757] lr: 1.000e-03 eta: 13:12:38 time: 0.203 data_time: 0.017 memory: 5148 grad_norm: 7.0115 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1867 loss: 1.1867 2022/06/28 08:45:03 - mmengine - INFO - Epoch(train) [53][1280/3757] lr: 1.000e-03 eta: 13:12:32 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 6.3174 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3751 loss: 1.3751 2022/06/28 08:45:08 - mmengine - INFO - Epoch(train) [53][1300/3757] lr: 1.000e-03 eta: 13:12:27 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 8.1397 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1520 loss: 1.1520 2022/06/28 08:45:14 - mmengine - INFO - Epoch(train) [53][1320/3757] lr: 1.000e-03 eta: 13:12:22 time: 0.213 data_time: 0.029 memory: 5148 grad_norm: 7.3277 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6416 loss: 1.6416 2022/06/28 08:45:18 - mmengine - INFO - Epoch(train) [53][1340/3757] lr: 1.000e-03 eta: 13:12:16 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 6.8711 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4530 loss: 1.4530 2022/06/28 08:45:24 - mmengine - INFO - Epoch(train) [53][1360/3757] lr: 1.000e-03 eta: 13:12:11 time: 0.196 data_time: 0.006 memory: 5148 grad_norm: 6.5483 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3507 loss: 1.3507 2022/06/28 08:45:29 - mmengine - INFO - Epoch(train) [53][1380/3757] lr: 1.000e-03 eta: 13:12:06 time: 0.219 data_time: 0.020 memory: 5148 grad_norm: 4.9340 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0666 loss: 1.0666 2022/06/28 08:45:34 - mmengine - INFO - Epoch(train) [53][1400/3757] lr: 1.000e-03 eta: 13:12:00 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 6.8063 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4376 loss: 1.4376 2022/06/28 08:45:39 - mmengine - INFO - Epoch(train) [53][1420/3757] lr: 1.000e-03 eta: 13:11:55 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 6.4729 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3595 loss: 1.3595 2022/06/28 08:45:45 - mmengine - INFO - Epoch(train) [53][1440/3757] lr: 1.000e-03 eta: 13:11:50 time: 0.217 data_time: 0.017 memory: 5148 grad_norm: 5.8306 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3484 loss: 1.3484 2022/06/28 08:45:50 - mmengine - INFO - Epoch(train) [53][1460/3757] lr: 1.000e-03 eta: 13:11:44 time: 0.224 data_time: 0.007 memory: 5148 grad_norm: 6.5982 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6718 loss: 1.6718 2022/06/28 08:45:55 - mmengine - INFO - Epoch(train) [53][1480/3757] lr: 1.000e-03 eta: 13:11:38 time: 0.199 data_time: 0.012 memory: 5148 grad_norm: 5.0885 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1841 loss: 1.1841 2022/06/28 08:46:01 - mmengine - INFO - Epoch(train) [53][1500/3757] lr: 1.000e-03 eta: 13:11:33 time: 0.233 data_time: 0.013 memory: 5148 grad_norm: 7.1338 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5067 loss: 1.5067 2022/06/28 08:46:05 - mmengine - INFO - Epoch(train) [53][1520/3757] lr: 1.000e-03 eta: 13:11:27 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 5.9394 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.4986 loss: 1.4986 2022/06/28 08:46:10 - mmengine - INFO - Epoch(train) [53][1540/3757] lr: 1.000e-03 eta: 13:11:22 time: 0.197 data_time: 0.012 memory: 5148 grad_norm: 6.5866 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.4165 loss: 1.4165 2022/06/28 08:46:16 - mmengine - INFO - Epoch(train) [53][1560/3757] lr: 1.000e-03 eta: 13:11:17 time: 0.225 data_time: 0.013 memory: 5148 grad_norm: 6.3513 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2336 loss: 1.2336 2022/06/28 08:46:21 - mmengine - INFO - Epoch(train) [53][1580/3757] lr: 1.000e-03 eta: 13:11:11 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 6.9361 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4178 loss: 1.4178 2022/06/28 08:46:26 - mmengine - INFO - Epoch(train) [53][1600/3757] lr: 1.000e-03 eta: 13:11:06 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 6.7068 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3228 loss: 1.3228 2022/06/28 08:46:32 - mmengine - INFO - Epoch(train) [53][1620/3757] lr: 1.000e-03 eta: 13:11:01 time: 0.211 data_time: 0.011 memory: 5148 grad_norm: 6.9994 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3620 loss: 1.3620 2022/06/28 08:46:36 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 08:46:37 - mmengine - INFO - Epoch(train) [53][1640/3757] lr: 1.000e-03 eta: 13:10:55 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 5.9626 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5538 loss: 1.5538 2022/06/28 08:46:42 - mmengine - INFO - Epoch(train) [53][1660/3757] lr: 1.000e-03 eta: 13:10:50 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 6.0275 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7877 loss: 1.7877 2022/06/28 08:46:48 - mmengine - INFO - Epoch(train) [53][1680/3757] lr: 1.000e-03 eta: 13:10:45 time: 1.114 data_time: 0.017 memory: 5148 grad_norm: 6.5942 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6080 loss: 1.6080 2022/06/28 08:46:53 - mmengine - INFO - Epoch(train) [53][1700/3757] lr: 1.000e-03 eta: 13:10:39 time: 0.218 data_time: 0.007 memory: 5148 grad_norm: 7.4310 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1701 loss: 1.1701 2022/06/28 08:46:58 - mmengine - INFO - Epoch(train) [53][1720/3757] lr: 1.000e-03 eta: 13:10:34 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 6.5671 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6280 loss: 1.6280 2022/06/28 08:47:04 - mmengine - INFO - Epoch(train) [53][1740/3757] lr: 1.000e-03 eta: 13:10:29 time: 0.918 data_time: 0.018 memory: 5148 grad_norm: 6.7040 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4060 loss: 1.4060 2022/06/28 08:47:08 - mmengine - INFO - Epoch(train) [53][1760/3757] lr: 1.000e-03 eta: 13:10:23 time: 0.209 data_time: 0.006 memory: 5148 grad_norm: 6.4401 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6191 loss: 1.6191 2022/06/28 08:47:14 - mmengine - INFO - Epoch(train) [53][1780/3757] lr: 1.000e-03 eta: 13:10:18 time: 0.205 data_time: 0.012 memory: 5148 grad_norm: 6.9376 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5630 loss: 1.5630 2022/06/28 08:47:19 - mmengine - INFO - Epoch(train) [53][1800/3757] lr: 1.000e-03 eta: 13:10:12 time: 0.219 data_time: 0.033 memory: 5148 grad_norm: 7.5007 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2992 loss: 1.2992 2022/06/28 08:47:24 - mmengine - INFO - Epoch(train) [53][1820/3757] lr: 1.000e-03 eta: 13:10:06 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 6.7185 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3796 loss: 1.3796 2022/06/28 08:47:30 - mmengine - INFO - Epoch(train) [53][1840/3757] lr: 1.000e-03 eta: 13:10:02 time: 0.202 data_time: 0.012 memory: 5148 grad_norm: 6.7210 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.3252 loss: 1.3252 2022/06/28 08:47:35 - mmengine - INFO - Epoch(train) [53][1860/3757] lr: 1.000e-03 eta: 13:09:56 time: 0.232 data_time: 0.048 memory: 5148 grad_norm: 6.1950 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5858 loss: 1.5858 2022/06/28 08:47:40 - mmengine - INFO - Epoch(train) [53][1880/3757] lr: 1.000e-03 eta: 13:09:50 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 7.1286 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6273 loss: 1.6273 2022/06/28 08:47:45 - mmengine - INFO - Epoch(train) [53][1900/3757] lr: 1.000e-03 eta: 13:09:45 time: 0.196 data_time: 0.012 memory: 5148 grad_norm: 6.1873 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7666 loss: 1.7666 2022/06/28 08:47:51 - mmengine - INFO - Epoch(train) [53][1920/3757] lr: 1.000e-03 eta: 13:09:40 time: 0.204 data_time: 0.019 memory: 5148 grad_norm: 7.5379 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7087 loss: 1.7087 2022/06/28 08:47:56 - mmengine - INFO - Epoch(train) [53][1940/3757] lr: 1.000e-03 eta: 13:09:34 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 5.3738 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2660 loss: 1.2660 2022/06/28 08:48:01 - mmengine - INFO - Epoch(train) [53][1960/3757] lr: 1.000e-03 eta: 13:09:30 time: 0.207 data_time: 0.021 memory: 5148 grad_norm: 6.4398 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5437 loss: 1.5437 2022/06/28 08:48:07 - mmengine - INFO - Epoch(train) [53][1980/3757] lr: 1.000e-03 eta: 13:09:24 time: 0.207 data_time: 0.022 memory: 5148 grad_norm: 6.1689 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3724 loss: 1.3724 2022/06/28 08:48:12 - mmengine - INFO - Epoch(train) [53][2000/3757] lr: 1.000e-03 eta: 13:09:18 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 6.1136 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0937 loss: 1.0937 2022/06/28 08:48:17 - mmengine - INFO - Epoch(train) [53][2020/3757] lr: 1.000e-03 eta: 13:09:13 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 6.5857 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4236 loss: 1.4236 2022/06/28 08:48:22 - mmengine - INFO - Epoch(train) [53][2040/3757] lr: 1.000e-03 eta: 13:09:08 time: 0.293 data_time: 0.024 memory: 5148 grad_norm: 7.2901 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8013 loss: 1.8013 2022/06/28 08:48:27 - mmengine - INFO - Epoch(train) [53][2060/3757] lr: 1.000e-03 eta: 13:09:02 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 7.5146 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6192 loss: 1.6192 2022/06/28 08:48:33 - mmengine - INFO - Epoch(train) [53][2080/3757] lr: 1.000e-03 eta: 13:08:57 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 8.3657 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3524 loss: 1.3524 2022/06/28 08:48:38 - mmengine - INFO - Epoch(train) [53][2100/3757] lr: 1.000e-03 eta: 13:08:52 time: 0.233 data_time: 0.019 memory: 5148 grad_norm: 6.2900 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7481 loss: 1.7481 2022/06/28 08:48:43 - mmengine - INFO - Epoch(train) [53][2120/3757] lr: 1.000e-03 eta: 13:08:46 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.9780 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4567 loss: 1.4567 2022/06/28 08:48:49 - mmengine - INFO - Epoch(train) [53][2140/3757] lr: 1.000e-03 eta: 13:08:41 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 7.2307 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5271 loss: 1.5271 2022/06/28 08:48:54 - mmengine - INFO - Epoch(train) [53][2160/3757] lr: 1.000e-03 eta: 13:08:36 time: 0.214 data_time: 0.022 memory: 5148 grad_norm: 6.5334 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7579 loss: 1.7579 2022/06/28 08:48:59 - mmengine - INFO - Epoch(train) [53][2180/3757] lr: 1.000e-03 eta: 13:08:30 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 6.4826 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4039 loss: 1.4039 2022/06/28 08:49:05 - mmengine - INFO - Epoch(train) [53][2200/3757] lr: 1.000e-03 eta: 13:08:25 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 7.0555 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7830 loss: 1.7830 2022/06/28 08:49:10 - mmengine - INFO - Epoch(train) [53][2220/3757] lr: 1.000e-03 eta: 13:08:20 time: 0.214 data_time: 0.012 memory: 5148 grad_norm: 7.1902 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3994 loss: 1.3994 2022/06/28 08:49:15 - mmengine - INFO - Epoch(train) [53][2240/3757] lr: 1.000e-03 eta: 13:08:14 time: 0.211 data_time: 0.031 memory: 5148 grad_norm: 7.2967 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5637 loss: 1.5637 2022/06/28 08:49:20 - mmengine - INFO - Epoch(train) [53][2260/3757] lr: 1.000e-03 eta: 13:08:09 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 5.2865 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2407 loss: 1.2407 2022/06/28 08:49:26 - mmengine - INFO - Epoch(train) [53][2280/3757] lr: 1.000e-03 eta: 13:08:04 time: 0.236 data_time: 0.047 memory: 5148 grad_norm: 6.8668 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2007 loss: 1.2007 2022/06/28 08:49:31 - mmengine - INFO - Epoch(train) [53][2300/3757] lr: 1.000e-03 eta: 13:07:59 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 7.3613 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5976 loss: 1.5976 2022/06/28 08:49:36 - mmengine - INFO - Epoch(train) [53][2320/3757] lr: 1.000e-03 eta: 13:07:53 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.1422 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4366 loss: 1.4366 2022/06/28 08:49:41 - mmengine - INFO - Epoch(train) [53][2340/3757] lr: 1.000e-03 eta: 13:07:48 time: 0.213 data_time: 0.030 memory: 5148 grad_norm: 6.2767 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4539 loss: 1.4539 2022/06/28 08:49:46 - mmengine - INFO - Epoch(train) [53][2360/3757] lr: 1.000e-03 eta: 13:07:42 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 6.6959 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2290 loss: 1.2290 2022/06/28 08:49:51 - mmengine - INFO - Epoch(train) [53][2380/3757] lr: 1.000e-03 eta: 13:07:36 time: 0.197 data_time: 0.009 memory: 5148 grad_norm: 7.6225 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3340 loss: 1.3340 2022/06/28 08:49:57 - mmengine - INFO - Epoch(train) [53][2400/3757] lr: 1.000e-03 eta: 13:07:31 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 6.8314 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3329 loss: 1.3329 2022/06/28 08:50:02 - mmengine - INFO - Epoch(train) [53][2420/3757] lr: 1.000e-03 eta: 13:07:26 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 6.9792 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4946 loss: 1.4946 2022/06/28 08:50:07 - mmengine - INFO - Epoch(train) [53][2440/3757] lr: 1.000e-03 eta: 13:07:21 time: 0.217 data_time: 0.035 memory: 5148 grad_norm: 6.5280 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4347 loss: 1.4347 2022/06/28 08:50:13 - mmengine - INFO - Epoch(train) [53][2460/3757] lr: 1.000e-03 eta: 13:07:15 time: 0.207 data_time: 0.016 memory: 5148 grad_norm: 6.7206 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5228 loss: 1.5228 2022/06/28 08:50:18 - mmengine - INFO - Epoch(train) [53][2480/3757] lr: 1.000e-03 eta: 13:07:10 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 6.9464 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1099 loss: 1.1099 2022/06/28 08:50:23 - mmengine - INFO - Epoch(train) [53][2500/3757] lr: 1.000e-03 eta: 13:07:04 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 7.6125 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5260 loss: 1.5260 2022/06/28 08:50:29 - mmengine - INFO - Epoch(train) [53][2520/3757] lr: 1.000e-03 eta: 13:06:59 time: 0.206 data_time: 0.006 memory: 5148 grad_norm: 6.0862 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4143 loss: 1.4143 2022/06/28 08:50:34 - mmengine - INFO - Epoch(train) [53][2540/3757] lr: 1.000e-03 eta: 13:06:53 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 8.5510 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5264 loss: 1.5264 2022/06/28 08:50:39 - mmengine - INFO - Epoch(train) [53][2560/3757] lr: 1.000e-03 eta: 13:06:48 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 8.0876 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4942 loss: 1.4942 2022/06/28 08:50:45 - mmengine - INFO - Epoch(train) [53][2580/3757] lr: 1.000e-03 eta: 13:06:44 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.1304 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5633 loss: 1.5633 2022/06/28 08:50:49 - mmengine - INFO - Epoch(train) [53][2600/3757] lr: 1.000e-03 eta: 13:06:37 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.7596 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.4662 loss: 1.4662 2022/06/28 08:50:55 - mmengine - INFO - Epoch(train) [53][2620/3757] lr: 1.000e-03 eta: 13:06:33 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 8.3941 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6501 loss: 1.6501 2022/06/28 08:50:59 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 08:51:01 - mmengine - INFO - Epoch(train) [53][2640/3757] lr: 1.000e-03 eta: 13:06:28 time: 0.228 data_time: 0.007 memory: 5148 grad_norm: 5.9365 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4781 loss: 1.4781 2022/06/28 08:51:06 - mmengine - INFO - Epoch(train) [53][2660/3757] lr: 1.000e-03 eta: 13:06:22 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 7.2888 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4938 loss: 1.4938 2022/06/28 08:51:11 - mmengine - INFO - Epoch(train) [53][2680/3757] lr: 1.000e-03 eta: 13:06:16 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 7.1693 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5459 loss: 1.5459 2022/06/28 08:51:16 - mmengine - INFO - Epoch(train) [53][2700/3757] lr: 1.000e-03 eta: 13:06:11 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 6.7088 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4778 loss: 1.4778 2022/06/28 08:51:21 - mmengine - INFO - Epoch(train) [53][2720/3757] lr: 1.000e-03 eta: 13:06:06 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 7.1509 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4080 loss: 1.4080 2022/06/28 08:51:27 - mmengine - INFO - Epoch(train) [53][2740/3757] lr: 1.000e-03 eta: 13:06:01 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 5.9633 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3262 loss: 1.3262 2022/06/28 08:51:33 - mmengine - INFO - Epoch(train) [53][2760/3757] lr: 1.000e-03 eta: 13:05:55 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 6.7784 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1315 loss: 1.1315 2022/06/28 08:51:38 - mmengine - INFO - Epoch(train) [53][2780/3757] lr: 1.000e-03 eta: 13:05:50 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 6.7080 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6429 loss: 1.6429 2022/06/28 08:51:43 - mmengine - INFO - Epoch(train) [53][2800/3757] lr: 1.000e-03 eta: 13:05:45 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 7.3705 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2953 loss: 1.2953 2022/06/28 08:51:49 - mmengine - INFO - Epoch(train) [53][2820/3757] lr: 1.000e-03 eta: 13:05:40 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 7.2502 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3004 loss: 1.3004 2022/06/28 08:51:54 - mmengine - INFO - Epoch(train) [53][2840/3757] lr: 1.000e-03 eta: 13:05:34 time: 0.193 data_time: 0.008 memory: 5148 grad_norm: 7.3480 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4881 loss: 1.4881 2022/06/28 08:51:59 - mmengine - INFO - Epoch(train) [53][2860/3757] lr: 1.000e-03 eta: 13:05:29 time: 0.217 data_time: 0.010 memory: 5148 grad_norm: 6.7309 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2194 loss: 1.2194 2022/06/28 08:52:05 - mmengine - INFO - Epoch(train) [53][2880/3757] lr: 1.000e-03 eta: 13:05:24 time: 0.225 data_time: 0.007 memory: 5148 grad_norm: 7.3527 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0621 loss: 1.0621 2022/06/28 08:52:10 - mmengine - INFO - Epoch(train) [53][2900/3757] lr: 1.000e-03 eta: 13:05:18 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.3089 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3968 loss: 1.3968 2022/06/28 08:52:15 - mmengine - INFO - Epoch(train) [53][2920/3757] lr: 1.000e-03 eta: 13:05:13 time: 0.196 data_time: 0.015 memory: 5148 grad_norm: 7.3903 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3076 loss: 1.3076 2022/06/28 08:52:21 - mmengine - INFO - Epoch(train) [53][2940/3757] lr: 1.000e-03 eta: 13:05:08 time: 0.211 data_time: 0.013 memory: 5148 grad_norm: 7.4772 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5469 loss: 1.5469 2022/06/28 08:52:26 - mmengine - INFO - Epoch(train) [53][2960/3757] lr: 1.000e-03 eta: 13:05:02 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 8.1194 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1362 loss: 1.1362 2022/06/28 08:52:31 - mmengine - INFO - Epoch(train) [53][2980/3757] lr: 1.000e-03 eta: 13:04:57 time: 0.199 data_time: 0.013 memory: 5148 grad_norm: 5.5155 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3657 loss: 1.3657 2022/06/28 08:52:37 - mmengine - INFO - Epoch(train) [53][3000/3757] lr: 1.000e-03 eta: 13:04:52 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 6.8997 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7686 loss: 1.7686 2022/06/28 08:52:42 - mmengine - INFO - Epoch(train) [53][3020/3757] lr: 1.000e-03 eta: 13:04:46 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 6.6219 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2048 loss: 1.2048 2022/06/28 08:52:48 - mmengine - INFO - Epoch(train) [53][3040/3757] lr: 1.000e-03 eta: 13:04:41 time: 0.199 data_time: 0.019 memory: 5148 grad_norm: 6.7318 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3142 loss: 1.3142 2022/06/28 08:52:53 - mmengine - INFO - Epoch(train) [53][3060/3757] lr: 1.000e-03 eta: 13:04:36 time: 0.238 data_time: 0.010 memory: 5148 grad_norm: 5.9448 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5327 loss: 1.5327 2022/06/28 08:52:58 - mmengine - INFO - Epoch(train) [53][3080/3757] lr: 1.000e-03 eta: 13:04:31 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 5.9207 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4760 loss: 1.4760 2022/06/28 08:53:03 - mmengine - INFO - Epoch(train) [53][3100/3757] lr: 1.000e-03 eta: 13:04:25 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 7.3630 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4722 loss: 1.4722 2022/06/28 08:53:09 - mmengine - INFO - Epoch(train) [53][3120/3757] lr: 1.000e-03 eta: 13:04:20 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 9.3019 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6480 loss: 1.6480 2022/06/28 08:53:13 - mmengine - INFO - Epoch(train) [53][3140/3757] lr: 1.000e-03 eta: 13:04:14 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 6.2190 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2008 loss: 1.2008 2022/06/28 08:53:19 - mmengine - INFO - Epoch(train) [53][3160/3757] lr: 1.000e-03 eta: 13:04:09 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 8.5246 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1484 loss: 1.1484 2022/06/28 08:53:24 - mmengine - INFO - Epoch(train) [53][3180/3757] lr: 1.000e-03 eta: 13:04:04 time: 0.207 data_time: 0.011 memory: 5148 grad_norm: 7.7099 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4946 loss: 1.4946 2022/06/28 08:53:30 - mmengine - INFO - Epoch(train) [53][3200/3757] lr: 1.000e-03 eta: 13:03:59 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 7.6339 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5307 loss: 1.5307 2022/06/28 08:53:35 - mmengine - INFO - Epoch(train) [53][3220/3757] lr: 1.000e-03 eta: 13:03:53 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 6.1694 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7352 loss: 1.7352 2022/06/28 08:53:41 - mmengine - INFO - Epoch(train) [53][3240/3757] lr: 1.000e-03 eta: 13:03:48 time: 0.225 data_time: 0.033 memory: 5148 grad_norm: 6.9411 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7751 loss: 1.7751 2022/06/28 08:53:46 - mmengine - INFO - Epoch(train) [53][3260/3757] lr: 1.000e-03 eta: 13:03:43 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 7.1187 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2653 loss: 1.2653 2022/06/28 08:53:51 - mmengine - INFO - Epoch(train) [53][3280/3757] lr: 1.000e-03 eta: 13:03:37 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.7982 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2383 loss: 1.2383 2022/06/28 08:53:57 - mmengine - INFO - Epoch(train) [53][3300/3757] lr: 1.000e-03 eta: 13:03:32 time: 0.221 data_time: 0.008 memory: 5148 grad_norm: 5.6308 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3757 loss: 1.3757 2022/06/28 08:54:02 - mmengine - INFO - Epoch(train) [53][3320/3757] lr: 1.000e-03 eta: 13:03:27 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 7.3989 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.7145 loss: 1.7145 2022/06/28 08:54:07 - mmengine - INFO - Epoch(train) [53][3340/3757] lr: 1.000e-03 eta: 13:03:22 time: 0.194 data_time: 0.011 memory: 5148 grad_norm: 6.0787 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6822 loss: 1.6822 2022/06/28 08:54:13 - mmengine - INFO - Epoch(train) [53][3360/3757] lr: 1.000e-03 eta: 13:03:16 time: 0.406 data_time: 0.008 memory: 5148 grad_norm: 6.9965 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4864 loss: 1.4864 2022/06/28 08:54:18 - mmengine - INFO - Epoch(train) [53][3380/3757] lr: 1.000e-03 eta: 13:03:11 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.7591 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1544 loss: 1.1544 2022/06/28 08:54:23 - mmengine - INFO - Epoch(train) [53][3400/3757] lr: 1.000e-03 eta: 13:03:06 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 7.0298 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4058 loss: 1.4058 2022/06/28 08:54:29 - mmengine - INFO - Epoch(train) [53][3420/3757] lr: 1.000e-03 eta: 13:03:00 time: 0.226 data_time: 0.010 memory: 5148 grad_norm: 6.6222 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4003 loss: 1.4003 2022/06/28 08:54:34 - mmengine - INFO - Epoch(train) [53][3440/3757] lr: 1.000e-03 eta: 13:02:55 time: 0.190 data_time: 0.010 memory: 5148 grad_norm: 7.2297 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2875 loss: 1.2875 2022/06/28 08:54:39 - mmengine - INFO - Epoch(train) [53][3460/3757] lr: 1.000e-03 eta: 13:02:50 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 7.5966 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6021 loss: 1.6021 2022/06/28 08:54:45 - mmengine - INFO - Epoch(train) [53][3480/3757] lr: 1.000e-03 eta: 13:02:44 time: 0.247 data_time: 0.009 memory: 5148 grad_norm: 7.9871 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4519 loss: 1.4519 2022/06/28 08:54:50 - mmengine - INFO - Epoch(train) [53][3500/3757] lr: 1.000e-03 eta: 13:02:39 time: 0.193 data_time: 0.013 memory: 5148 grad_norm: 6.6942 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3718 loss: 1.3718 2022/06/28 08:54:55 - mmengine - INFO - Epoch(train) [53][3520/3757] lr: 1.000e-03 eta: 13:02:33 time: 0.199 data_time: 0.009 memory: 5148 grad_norm: 6.5812 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4183 loss: 1.4183 2022/06/28 08:55:00 - mmengine - INFO - Epoch(train) [53][3540/3757] lr: 1.000e-03 eta: 13:02:28 time: 0.213 data_time: 0.012 memory: 5148 grad_norm: 6.4493 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1025 loss: 1.1025 2022/06/28 08:55:06 - mmengine - INFO - Epoch(train) [53][3560/3757] lr: 1.000e-03 eta: 13:02:23 time: 0.200 data_time: 0.015 memory: 5148 grad_norm: 7.6988 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4012 loss: 1.4012 2022/06/28 08:55:11 - mmengine - INFO - Epoch(train) [53][3580/3757] lr: 1.000e-03 eta: 13:02:18 time: 0.202 data_time: 0.017 memory: 5148 grad_norm: 7.6851 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2887 loss: 1.2887 2022/06/28 08:55:17 - mmengine - INFO - Epoch(train) [53][3600/3757] lr: 1.000e-03 eta: 13:02:13 time: 1.113 data_time: 0.024 memory: 5148 grad_norm: 7.1673 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8076 loss: 1.8076 2022/06/28 08:55:22 - mmengine - INFO - Epoch(train) [53][3620/3757] lr: 1.000e-03 eta: 13:02:07 time: 0.196 data_time: 0.013 memory: 5148 grad_norm: 6.0613 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3085 loss: 1.3085 2022/06/28 08:55:26 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 08:55:27 - mmengine - INFO - Epoch(train) [53][3640/3757] lr: 1.000e-03 eta: 13:02:02 time: 0.201 data_time: 0.017 memory: 5148 grad_norm: 6.8409 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4630 loss: 1.4630 2022/06/28 08:55:32 - mmengine - INFO - Epoch(train) [53][3660/3757] lr: 1.000e-03 eta: 13:01:56 time: 0.322 data_time: 0.018 memory: 5148 grad_norm: 5.9390 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4809 loss: 1.4809 2022/06/28 08:55:38 - mmengine - INFO - Epoch(train) [53][3680/3757] lr: 1.000e-03 eta: 13:01:51 time: 0.204 data_time: 0.013 memory: 5148 grad_norm: 6.8481 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4853 loss: 1.4853 2022/06/28 08:55:43 - mmengine - INFO - Epoch(train) [53][3700/3757] lr: 1.000e-03 eta: 13:01:46 time: 0.207 data_time: 0.024 memory: 5148 grad_norm: 5.5028 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5175 loss: 1.5175 2022/06/28 08:55:49 - mmengine - INFO - Epoch(train) [53][3720/3757] lr: 1.000e-03 eta: 13:01:41 time: 0.940 data_time: 0.012 memory: 5148 grad_norm: 6.7342 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3949 loss: 1.3949 2022/06/28 08:55:54 - mmengine - INFO - Epoch(train) [53][3740/3757] lr: 1.000e-03 eta: 13:01:35 time: 0.212 data_time: 0.016 memory: 5148 grad_norm: 6.2299 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5653 loss: 1.5653 2022/06/28 08:55:57 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 08:56:04 - mmengine - INFO - Epoch(val) [53][20/310] eta: 0:01:09 time: 0.314 data_time: 0.232 memory: 5148 2022/06/28 08:56:08 - mmengine - INFO - Epoch(val) [53][40/310] eta: 0:01:01 time: 0.087 data_time: 0.009 memory: 1367 2022/06/28 08:56:14 - mmengine - INFO - Epoch(val) [53][60/310] eta: 0:00:53 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 08:56:19 - mmengine - INFO - Epoch(val) [53][80/310] eta: 0:00:53 time: 0.226 data_time: 0.154 memory: 1367 2022/06/28 08:56:25 - mmengine - INFO - Epoch(val) [53][100/310] eta: 0:00:49 time: 0.080 data_time: 0.005 memory: 1367 2022/06/28 08:56:30 - mmengine - INFO - Epoch(val) [53][120/310] eta: 0:00:43 time: 0.106 data_time: 0.035 memory: 1367 2022/06/28 08:56:36 - mmengine - INFO - Epoch(val) [53][140/310] eta: 0:00:39 time: 0.079 data_time: 0.008 memory: 1367 2022/06/28 08:56:41 - mmengine - INFO - Epoch(val) [53][160/310] eta: 0:00:44 time: 0.886 data_time: 0.795 memory: 1367 2022/06/28 08:56:46 - mmengine - INFO - Epoch(val) [53][180/310] eta: 0:00:33 time: 0.313 data_time: 0.244 memory: 1367 2022/06/28 08:56:51 - mmengine - INFO - Epoch(val) [53][200/310] eta: 0:00:31 time: 0.662 data_time: 0.584 memory: 1367 2022/06/28 08:56:57 - mmengine - INFO - Epoch(val) [53][220/310] eta: 0:00:22 time: 0.081 data_time: 0.008 memory: 1367 2022/06/28 08:57:02 - mmengine - INFO - Epoch(val) [53][240/310] eta: 0:00:17 time: 0.302 data_time: 0.226 memory: 1367 2022/06/28 08:57:07 - mmengine - INFO - Epoch(val) [53][260/310] eta: 0:00:14 time: 0.552 data_time: 0.463 memory: 1367 2022/06/28 08:57:12 - mmengine - INFO - Epoch(val) [53][280/310] eta: 0:00:07 time: 0.089 data_time: 0.012 memory: 1367 2022/06/28 08:57:18 - mmengine - INFO - Epoch(val) [53][300/310] eta: 0:00:02 time: 0.458 data_time: 0.382 memory: 1367 2022/06/28 08:57:21 - mmengine - INFO - Epoch(val) [53][310/310] acc/top1: 0.6467 acc/top5: 0.8556 acc/mean1: 0.6466 2022/06/28 08:57:29 - mmengine - INFO - Epoch(train) [54][20/3757] lr: 1.000e-03 eta: 13:01:26 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 5.4637 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2805 loss: 1.2805 2022/06/28 08:57:35 - mmengine - INFO - Epoch(train) [54][40/3757] lr: 1.000e-03 eta: 13:01:21 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 6.1367 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3351 loss: 1.3351 2022/06/28 08:57:40 - mmengine - INFO - Epoch(train) [54][60/3757] lr: 1.000e-03 eta: 13:01:15 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 6.7486 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3758 loss: 1.3758 2022/06/28 08:57:46 - mmengine - INFO - Epoch(train) [54][80/3757] lr: 1.000e-03 eta: 13:01:10 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 6.3424 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4668 loss: 1.4668 2022/06/28 08:57:51 - mmengine - INFO - Epoch(train) [54][100/3757] lr: 1.000e-03 eta: 13:01:05 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 6.2408 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5537 loss: 1.5537 2022/06/28 08:57:56 - mmengine - INFO - Epoch(train) [54][120/3757] lr: 1.000e-03 eta: 13:00:59 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 7.6888 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4778 loss: 1.4778 2022/06/28 08:58:02 - mmengine - INFO - Epoch(train) [54][140/3757] lr: 1.000e-03 eta: 13:00:54 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 6.5118 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3275 loss: 1.3275 2022/06/28 08:58:07 - mmengine - INFO - Epoch(train) [54][160/3757] lr: 1.000e-03 eta: 13:00:49 time: 0.362 data_time: 0.183 memory: 5148 grad_norm: 6.6195 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4770 loss: 1.4770 2022/06/28 08:58:12 - mmengine - INFO - Epoch(train) [54][180/3757] lr: 1.000e-03 eta: 13:00:44 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 5.8549 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3619 loss: 1.3619 2022/06/28 08:58:18 - mmengine - INFO - Epoch(train) [54][200/3757] lr: 1.000e-03 eta: 13:00:39 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.7420 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4579 loss: 1.4579 2022/06/28 08:58:24 - mmengine - INFO - Epoch(train) [54][220/3757] lr: 1.000e-03 eta: 13:00:34 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 6.1322 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5076 loss: 1.5076 2022/06/28 08:58:28 - mmengine - INFO - Epoch(train) [54][240/3757] lr: 1.000e-03 eta: 13:00:28 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 6.5910 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3766 loss: 1.3766 2022/06/28 08:58:34 - mmengine - INFO - Epoch(train) [54][260/3757] lr: 1.000e-03 eta: 13:00:23 time: 0.202 data_time: 0.009 memory: 5148 grad_norm: 6.8462 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5398 loss: 1.5398 2022/06/28 08:58:39 - mmengine - INFO - Epoch(train) [54][280/3757] lr: 1.000e-03 eta: 13:00:18 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 7.3010 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4578 loss: 1.4578 2022/06/28 08:58:44 - mmengine - INFO - Epoch(train) [54][300/3757] lr: 1.000e-03 eta: 13:00:12 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 8.8108 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.3131 loss: 1.3131 2022/06/28 08:58:50 - mmengine - INFO - Epoch(train) [54][320/3757] lr: 1.000e-03 eta: 13:00:07 time: 0.191 data_time: 0.012 memory: 5148 grad_norm: 7.0136 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1250 loss: 1.1250 2022/06/28 08:58:56 - mmengine - INFO - Epoch(train) [54][340/3757] lr: 1.000e-03 eta: 13:00:02 time: 0.351 data_time: 0.007 memory: 5148 grad_norm: 6.9726 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.3168 loss: 1.3168 2022/06/28 08:59:01 - mmengine - INFO - Epoch(train) [54][360/3757] lr: 1.000e-03 eta: 12:59:56 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 7.4997 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4730 loss: 1.4730 2022/06/28 08:59:06 - mmengine - INFO - Epoch(train) [54][380/3757] lr: 1.000e-03 eta: 12:59:51 time: 0.196 data_time: 0.015 memory: 5148 grad_norm: 7.1578 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1298 loss: 1.1298 2022/06/28 08:59:12 - mmengine - INFO - Epoch(train) [54][400/3757] lr: 1.000e-03 eta: 12:59:46 time: 0.215 data_time: 0.010 memory: 5148 grad_norm: 5.7044 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3707 loss: 1.3707 2022/06/28 08:59:17 - mmengine - INFO - Epoch(train) [54][420/3757] lr: 1.000e-03 eta: 12:59:40 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 6.5494 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2840 loss: 1.2840 2022/06/28 08:59:22 - mmengine - INFO - Epoch(train) [54][440/3757] lr: 1.000e-03 eta: 12:59:35 time: 0.200 data_time: 0.012 memory: 5148 grad_norm: 8.1581 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.1377 loss: 1.1377 2022/06/28 08:59:28 - mmengine - INFO - Epoch(train) [54][460/3757] lr: 1.000e-03 eta: 12:59:30 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 6.5592 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3741 loss: 1.3741 2022/06/28 08:59:32 - mmengine - INFO - Epoch(train) [54][480/3757] lr: 1.000e-03 eta: 12:59:24 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 6.9193 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3818 loss: 1.3818 2022/06/28 08:59:38 - mmengine - INFO - Epoch(train) [54][500/3757] lr: 1.000e-03 eta: 12:59:19 time: 0.204 data_time: 0.009 memory: 5148 grad_norm: 6.2141 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2028 loss: 1.2028 2022/06/28 08:59:43 - mmengine - INFO - Epoch(train) [54][520/3757] lr: 1.000e-03 eta: 12:59:14 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 6.5406 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4898 loss: 1.4898 2022/06/28 08:59:48 - mmengine - INFO - Epoch(train) [54][540/3757] lr: 1.000e-03 eta: 12:59:08 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 6.5326 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5636 loss: 1.5636 2022/06/28 08:59:54 - mmengine - INFO - Epoch(train) [54][560/3757] lr: 1.000e-03 eta: 12:59:03 time: 0.216 data_time: 0.010 memory: 5148 grad_norm: 7.7464 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6135 loss: 1.6135 2022/06/28 08:59:59 - mmengine - INFO - Epoch(train) [54][580/3757] lr: 1.000e-03 eta: 12:58:58 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 7.4863 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4802 loss: 1.4802 2022/06/28 09:00:04 - mmengine - INFO - Epoch(train) [54][600/3757] lr: 1.000e-03 eta: 12:58:52 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.8975 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1693 loss: 1.1693 2022/06/28 09:00:10 - mmengine - INFO - Epoch(train) [54][620/3757] lr: 1.000e-03 eta: 12:58:47 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 6.7076 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5239 loss: 1.5239 2022/06/28 09:00:16 - mmengine - INFO - Epoch(train) [54][640/3757] lr: 1.000e-03 eta: 12:58:43 time: 0.219 data_time: 0.007 memory: 5148 grad_norm: 7.6304 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0106 loss: 1.0106 2022/06/28 09:00:21 - mmengine - INFO - Epoch(train) [54][660/3757] lr: 1.000e-03 eta: 12:58:37 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 7.0892 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1175 loss: 1.1175 2022/06/28 09:00:26 - mmengine - INFO - Epoch(train) [54][680/3757] lr: 1.000e-03 eta: 12:58:32 time: 0.191 data_time: 0.010 memory: 5148 grad_norm: 7.2369 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3249 loss: 1.3249 2022/06/28 09:00:32 - mmengine - INFO - Epoch(train) [54][700/3757] lr: 1.000e-03 eta: 12:58:27 time: 0.215 data_time: 0.010 memory: 5148 grad_norm: 7.5118 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4611 loss: 1.4611 2022/06/28 09:00:37 - mmengine - INFO - Epoch(train) [54][720/3757] lr: 1.000e-03 eta: 12:58:21 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.1623 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1261 loss: 1.1261 2022/06/28 09:00:43 - mmengine - INFO - Epoch(train) [54][740/3757] lr: 1.000e-03 eta: 12:58:16 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 7.3322 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1489 loss: 1.1489 2022/06/28 09:00:48 - mmengine - INFO - Epoch(train) [54][760/3757] lr: 1.000e-03 eta: 12:58:11 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 7.3452 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8837 loss: 0.8837 2022/06/28 09:00:53 - mmengine - INFO - Epoch(train) [54][780/3757] lr: 1.000e-03 eta: 12:58:05 time: 0.205 data_time: 0.014 memory: 5148 grad_norm: 6.5431 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2891 loss: 1.2891 2022/06/28 09:00:58 - mmengine - INFO - Epoch(train) [54][800/3757] lr: 1.000e-03 eta: 12:58:00 time: 0.234 data_time: 0.006 memory: 5148 grad_norm: 5.4823 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0966 loss: 1.0966 2022/06/28 09:01:04 - mmengine - INFO - Epoch(train) [54][820/3757] lr: 1.000e-03 eta: 12:57:55 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 6.4472 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4866 loss: 1.4866 2022/06/28 09:01:09 - mmengine - INFO - Epoch(train) [54][840/3757] lr: 1.000e-03 eta: 12:57:49 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 8.0953 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2424 loss: 1.2424 2022/06/28 09:01:14 - mmengine - INFO - Epoch(train) [54][860/3757] lr: 1.000e-03 eta: 12:57:44 time: 0.205 data_time: 0.012 memory: 5148 grad_norm: 7.3264 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7372 loss: 1.7372 2022/06/28 09:01:19 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 09:01:19 - mmengine - INFO - Epoch(train) [54][880/3757] lr: 1.000e-03 eta: 12:57:39 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 7.8625 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9070 loss: 1.9070 2022/06/28 09:01:24 - mmengine - INFO - Epoch(train) [54][900/3757] lr: 1.000e-03 eta: 12:57:32 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 7.1221 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5172 loss: 1.5172 2022/06/28 09:01:30 - mmengine - INFO - Epoch(train) [54][920/3757] lr: 1.000e-03 eta: 12:57:28 time: 0.283 data_time: 0.007 memory: 5148 grad_norm: 7.8536 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6070 loss: 1.6070 2022/06/28 09:01:35 - mmengine - INFO - Epoch(train) [54][940/3757] lr: 1.000e-03 eta: 12:57:23 time: 0.227 data_time: 0.014 memory: 5148 grad_norm: 6.9415 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2375 loss: 1.2375 2022/06/28 09:01:40 - mmengine - INFO - Epoch(train) [54][960/3757] lr: 1.000e-03 eta: 12:57:17 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 7.1179 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8192 loss: 1.8192 2022/06/28 09:01:45 - mmengine - INFO - Epoch(train) [54][980/3757] lr: 1.000e-03 eta: 12:57:11 time: 0.219 data_time: 0.007 memory: 5148 grad_norm: 7.3019 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5198 loss: 1.5198 2022/06/28 09:01:51 - mmengine - INFO - Epoch(train) [54][1000/3757] lr: 1.000e-03 eta: 12:57:06 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 7.0780 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1449 loss: 1.1449 2022/06/28 09:01:56 - mmengine - INFO - Epoch(train) [54][1020/3757] lr: 1.000e-03 eta: 12:57:00 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 6.9632 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4355 loss: 1.4355 2022/06/28 09:02:01 - mmengine - INFO - Epoch(train) [54][1040/3757] lr: 1.000e-03 eta: 12:56:55 time: 0.221 data_time: 0.011 memory: 5148 grad_norm: 7.4055 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5919 loss: 1.5919 2022/06/28 09:02:07 - mmengine - INFO - Epoch(train) [54][1060/3757] lr: 1.000e-03 eta: 12:56:50 time: 0.210 data_time: 0.024 memory: 5148 grad_norm: 6.0009 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2932 loss: 1.2932 2022/06/28 09:02:12 - mmengine - INFO - Epoch(train) [54][1080/3757] lr: 1.000e-03 eta: 12:56:45 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 6.2469 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2604 loss: 1.2604 2022/06/28 09:02:17 - mmengine - INFO - Epoch(train) [54][1100/3757] lr: 1.000e-03 eta: 12:56:39 time: 0.237 data_time: 0.007 memory: 5148 grad_norm: 7.2451 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4982 loss: 1.4982 2022/06/28 09:02:22 - mmengine - INFO - Epoch(train) [54][1120/3757] lr: 1.000e-03 eta: 12:56:34 time: 0.203 data_time: 0.014 memory: 5148 grad_norm: 6.1942 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4517 loss: 1.4517 2022/06/28 09:02:27 - mmengine - INFO - Epoch(train) [54][1140/3757] lr: 1.000e-03 eta: 12:56:28 time: 0.198 data_time: 0.012 memory: 5148 grad_norm: 6.6201 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6016 loss: 1.6016 2022/06/28 09:02:33 - mmengine - INFO - Epoch(train) [54][1160/3757] lr: 1.000e-03 eta: 12:56:24 time: 0.237 data_time: 0.010 memory: 5148 grad_norm: 7.6181 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1785 loss: 1.1785 2022/06/28 09:02:38 - mmengine - INFO - Epoch(train) [54][1180/3757] lr: 1.000e-03 eta: 12:56:18 time: 0.236 data_time: 0.010 memory: 5148 grad_norm: 7.5559 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2112 loss: 1.2112 2022/06/28 09:02:44 - mmengine - INFO - Epoch(train) [54][1200/3757] lr: 1.000e-03 eta: 12:56:13 time: 0.202 data_time: 0.018 memory: 5148 grad_norm: 6.3882 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5295 loss: 1.5295 2022/06/28 09:02:49 - mmengine - INFO - Epoch(train) [54][1220/3757] lr: 1.000e-03 eta: 12:56:07 time: 0.214 data_time: 0.012 memory: 5148 grad_norm: 5.4419 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8452 loss: 1.8452 2022/06/28 09:02:53 - mmengine - INFO - Epoch(train) [54][1240/3757] lr: 1.000e-03 eta: 12:56:01 time: 0.329 data_time: 0.011 memory: 5148 grad_norm: 6.3431 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5235 loss: 1.5235 2022/06/28 09:02:59 - mmengine - INFO - Epoch(train) [54][1260/3757] lr: 1.000e-03 eta: 12:55:56 time: 0.199 data_time: 0.017 memory: 5148 grad_norm: 7.3748 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5160 loss: 1.5160 2022/06/28 09:03:04 - mmengine - INFO - Epoch(train) [54][1280/3757] lr: 1.000e-03 eta: 12:55:51 time: 0.222 data_time: 0.008 memory: 5148 grad_norm: 6.7022 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7964 loss: 1.7964 2022/06/28 09:03:10 - mmengine - INFO - Epoch(train) [54][1300/3757] lr: 1.000e-03 eta: 12:55:46 time: 0.828 data_time: 0.007 memory: 5148 grad_norm: 8.4194 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4844 loss: 1.4844 2022/06/28 09:03:15 - mmengine - INFO - Epoch(train) [54][1320/3757] lr: 1.000e-03 eta: 12:55:40 time: 0.219 data_time: 0.022 memory: 5148 grad_norm: 6.8992 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8467 loss: 1.8467 2022/06/28 09:03:20 - mmengine - INFO - Epoch(train) [54][1340/3757] lr: 1.000e-03 eta: 12:55:35 time: 0.237 data_time: 0.008 memory: 5148 grad_norm: 7.4052 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4752 loss: 1.4752 2022/06/28 09:03:26 - mmengine - INFO - Epoch(train) [54][1360/3757] lr: 1.000e-03 eta: 12:55:30 time: 1.017 data_time: 0.007 memory: 5148 grad_norm: 7.3520 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6120 loss: 1.6120 2022/06/28 09:03:30 - mmengine - INFO - Epoch(train) [54][1380/3757] lr: 1.000e-03 eta: 12:55:24 time: 0.197 data_time: 0.021 memory: 5148 grad_norm: 7.4060 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4016 loss: 1.4016 2022/06/28 09:03:36 - mmengine - INFO - Epoch(train) [54][1400/3757] lr: 1.000e-03 eta: 12:55:19 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 7.0460 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1894 loss: 1.1894 2022/06/28 09:03:42 - mmengine - INFO - Epoch(train) [54][1420/3757] lr: 1.000e-03 eta: 12:55:14 time: 1.489 data_time: 0.011 memory: 5148 grad_norm: 8.0376 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4213 loss: 1.4213 2022/06/28 09:03:46 - mmengine - INFO - Epoch(train) [54][1440/3757] lr: 1.000e-03 eta: 12:55:08 time: 0.199 data_time: 0.017 memory: 5148 grad_norm: 7.2805 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4481 loss: 1.4481 2022/06/28 09:03:51 - mmengine - INFO - Epoch(train) [54][1460/3757] lr: 1.000e-03 eta: 12:55:02 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 6.7320 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0638 loss: 1.0638 2022/06/28 09:03:57 - mmengine - INFO - Epoch(train) [54][1480/3757] lr: 1.000e-03 eta: 12:54:57 time: 0.802 data_time: 0.008 memory: 5148 grad_norm: 7.2035 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9392 loss: 1.9392 2022/06/28 09:04:01 - mmengine - INFO - Epoch(train) [54][1500/3757] lr: 1.000e-03 eta: 12:54:51 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 7.2222 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4831 loss: 1.4831 2022/06/28 09:04:07 - mmengine - INFO - Epoch(train) [54][1520/3757] lr: 1.000e-03 eta: 12:54:46 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 7.2460 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.1776 loss: 1.1776 2022/06/28 09:04:12 - mmengine - INFO - Epoch(train) [54][1540/3757] lr: 1.000e-03 eta: 12:54:41 time: 0.844 data_time: 0.015 memory: 5148 grad_norm: 7.4507 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3148 loss: 1.3148 2022/06/28 09:04:17 - mmengine - INFO - Epoch(train) [54][1560/3757] lr: 1.000e-03 eta: 12:54:35 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.9410 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6291 loss: 1.6291 2022/06/28 09:04:23 - mmengine - INFO - Epoch(train) [54][1580/3757] lr: 1.000e-03 eta: 12:54:30 time: 0.203 data_time: 0.012 memory: 5148 grad_norm: 7.0558 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8832 loss: 1.8832 2022/06/28 09:04:28 - mmengine - INFO - Epoch(train) [54][1600/3757] lr: 1.000e-03 eta: 12:54:25 time: 0.807 data_time: 0.007 memory: 5148 grad_norm: 6.7365 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4827 loss: 1.4827 2022/06/28 09:04:33 - mmengine - INFO - Epoch(train) [54][1620/3757] lr: 1.000e-03 eta: 12:54:19 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 6.4906 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2206 loss: 1.2206 2022/06/28 09:04:38 - mmengine - INFO - Epoch(train) [54][1640/3757] lr: 1.000e-03 eta: 12:54:14 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 8.1720 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5802 loss: 1.5802 2022/06/28 09:04:43 - mmengine - INFO - Epoch(train) [54][1660/3757] lr: 1.000e-03 eta: 12:54:08 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 7.2260 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4758 loss: 1.4758 2022/06/28 09:04:49 - mmengine - INFO - Epoch(train) [54][1680/3757] lr: 1.000e-03 eta: 12:54:03 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 5.8633 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4345 loss: 1.4345 2022/06/28 09:04:54 - mmengine - INFO - Epoch(train) [54][1700/3757] lr: 1.000e-03 eta: 12:53:57 time: 0.288 data_time: 0.007 memory: 5148 grad_norm: 6.6114 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1888 loss: 1.1888 2022/06/28 09:04:59 - mmengine - INFO - Epoch(train) [54][1720/3757] lr: 1.000e-03 eta: 12:53:52 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 7.5439 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6813 loss: 1.6813 2022/06/28 09:05:05 - mmengine - INFO - Epoch(train) [54][1740/3757] lr: 1.000e-03 eta: 12:53:47 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 7.0148 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1714 loss: 1.1714 2022/06/28 09:05:10 - mmengine - INFO - Epoch(train) [54][1760/3757] lr: 1.000e-03 eta: 12:53:42 time: 1.151 data_time: 0.008 memory: 5148 grad_norm: 7.4495 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6524 loss: 1.6524 2022/06/28 09:05:15 - mmengine - INFO - Epoch(train) [54][1780/3757] lr: 1.000e-03 eta: 12:53:36 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.9729 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2817 loss: 1.2817 2022/06/28 09:05:21 - mmengine - INFO - Epoch(train) [54][1800/3757] lr: 1.000e-03 eta: 12:53:31 time: 0.194 data_time: 0.011 memory: 5148 grad_norm: 7.1682 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2037 loss: 1.2037 2022/06/28 09:05:27 - mmengine - INFO - Epoch(train) [54][1820/3757] lr: 1.000e-03 eta: 12:53:26 time: 0.960 data_time: 0.007 memory: 5148 grad_norm: 7.4649 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0390 loss: 1.0390 2022/06/28 09:05:32 - mmengine - INFO - Epoch(train) [54][1840/3757] lr: 1.000e-03 eta: 12:53:21 time: 0.213 data_time: 0.008 memory: 5148 grad_norm: 7.1357 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6840 loss: 1.6840 2022/06/28 09:05:37 - mmengine - INFO - Epoch(train) [54][1860/3757] lr: 1.000e-03 eta: 12:53:16 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 8.1387 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6678 loss: 1.6678 2022/06/28 09:05:42 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 09:05:43 - mmengine - INFO - Epoch(train) [54][1880/3757] lr: 1.000e-03 eta: 12:53:11 time: 0.825 data_time: 0.007 memory: 5148 grad_norm: 6.4143 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7967 loss: 1.7967 2022/06/28 09:05:47 - mmengine - INFO - Epoch(train) [54][1900/3757] lr: 1.000e-03 eta: 12:53:05 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.9609 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2006 loss: 1.2006 2022/06/28 09:05:53 - mmengine - INFO - Epoch(train) [54][1920/3757] lr: 1.000e-03 eta: 12:52:59 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 6.8219 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4584 loss: 1.4584 2022/06/28 09:05:58 - mmengine - INFO - Epoch(train) [54][1940/3757] lr: 1.000e-03 eta: 12:52:54 time: 0.524 data_time: 0.010 memory: 5148 grad_norm: 6.4610 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9327 loss: 0.9327 2022/06/28 09:06:03 - mmengine - INFO - Epoch(train) [54][1960/3757] lr: 1.000e-03 eta: 12:52:49 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.6845 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5753 loss: 1.5753 2022/06/28 09:06:09 - mmengine - INFO - Epoch(train) [54][1980/3757] lr: 1.000e-03 eta: 12:52:43 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 6.8012 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0912 loss: 1.0912 2022/06/28 09:06:14 - mmengine - INFO - Epoch(train) [54][2000/3757] lr: 1.000e-03 eta: 12:52:38 time: 0.782 data_time: 0.008 memory: 5148 grad_norm: 7.4302 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5200 loss: 1.5200 2022/06/28 09:06:19 - mmengine - INFO - Epoch(train) [54][2020/3757] lr: 1.000e-03 eta: 12:52:32 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.3816 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1835 loss: 1.1835 2022/06/28 09:06:25 - mmengine - INFO - Epoch(train) [54][2040/3757] lr: 1.000e-03 eta: 12:52:28 time: 0.237 data_time: 0.007 memory: 5148 grad_norm: 5.9913 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8429 loss: 1.8429 2022/06/28 09:06:30 - mmengine - INFO - Epoch(train) [54][2060/3757] lr: 1.000e-03 eta: 12:52:22 time: 0.885 data_time: 0.007 memory: 5148 grad_norm: 6.2389 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1311 loss: 1.1311 2022/06/28 09:06:35 - mmengine - INFO - Epoch(train) [54][2080/3757] lr: 1.000e-03 eta: 12:52:17 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 6.4990 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4045 loss: 1.4045 2022/06/28 09:06:41 - mmengine - INFO - Epoch(train) [54][2100/3757] lr: 1.000e-03 eta: 12:52:12 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 6.5662 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4515 loss: 1.4515 2022/06/28 09:06:46 - mmengine - INFO - Epoch(train) [54][2120/3757] lr: 1.000e-03 eta: 12:52:06 time: 0.625 data_time: 0.007 memory: 5148 grad_norm: 8.7660 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9795 loss: 1.9795 2022/06/28 09:06:51 - mmengine - INFO - Epoch(train) [54][2140/3757] lr: 1.000e-03 eta: 12:52:01 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 6.4095 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2802 loss: 1.2802 2022/06/28 09:06:56 - mmengine - INFO - Epoch(train) [54][2160/3757] lr: 1.000e-03 eta: 12:51:55 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 7.6848 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4221 loss: 1.4221 2022/06/28 09:07:01 - mmengine - INFO - Epoch(train) [54][2180/3757] lr: 1.000e-03 eta: 12:51:50 time: 0.381 data_time: 0.008 memory: 5148 grad_norm: 8.0898 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4404 loss: 1.4404 2022/06/28 09:07:07 - mmengine - INFO - Epoch(train) [54][2200/3757] lr: 1.000e-03 eta: 12:51:45 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 7.1394 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6518 loss: 1.6518 2022/06/28 09:07:12 - mmengine - INFO - Epoch(train) [54][2220/3757] lr: 1.000e-03 eta: 12:51:39 time: 0.648 data_time: 0.010 memory: 5148 grad_norm: 7.3372 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4201 loss: 1.4201 2022/06/28 09:07:17 - mmengine - INFO - Epoch(train) [54][2240/3757] lr: 1.000e-03 eta: 12:51:34 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 6.1524 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5390 loss: 1.5390 2022/06/28 09:07:23 - mmengine - INFO - Epoch(train) [54][2260/3757] lr: 1.000e-03 eta: 12:51:28 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.2945 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3784 loss: 1.3784 2022/06/28 09:07:28 - mmengine - INFO - Epoch(train) [54][2280/3757] lr: 1.000e-03 eta: 12:51:23 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 6.8858 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2833 loss: 1.2833 2022/06/28 09:07:33 - mmengine - INFO - Epoch(train) [54][2300/3757] lr: 1.000e-03 eta: 12:51:18 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 7.5237 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1065 loss: 1.1065 2022/06/28 09:07:38 - mmengine - INFO - Epoch(train) [54][2320/3757] lr: 1.000e-03 eta: 12:51:12 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 6.8809 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0904 loss: 1.0904 2022/06/28 09:07:44 - mmengine - INFO - Epoch(train) [54][2340/3757] lr: 1.000e-03 eta: 12:51:07 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 6.3619 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2120 loss: 1.2120 2022/06/28 09:07:49 - mmengine - INFO - Epoch(train) [54][2360/3757] lr: 1.000e-03 eta: 12:51:02 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 7.1553 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2169 loss: 1.2169 2022/06/28 09:07:55 - mmengine - INFO - Epoch(train) [54][2380/3757] lr: 1.000e-03 eta: 12:50:57 time: 0.191 data_time: 0.010 memory: 5148 grad_norm: 7.0105 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2815 loss: 1.2815 2022/06/28 09:08:00 - mmengine - INFO - Epoch(train) [54][2400/3757] lr: 1.000e-03 eta: 12:50:52 time: 0.209 data_time: 0.006 memory: 5148 grad_norm: 7.5030 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5057 loss: 1.5057 2022/06/28 09:08:05 - mmengine - INFO - Epoch(train) [54][2420/3757] lr: 1.000e-03 eta: 12:50:46 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 7.0167 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7222 loss: 1.7222 2022/06/28 09:08:10 - mmengine - INFO - Epoch(train) [54][2440/3757] lr: 1.000e-03 eta: 12:50:40 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 6.5611 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7526 loss: 1.7526 2022/06/28 09:08:16 - mmengine - INFO - Epoch(train) [54][2460/3757] lr: 1.000e-03 eta: 12:50:35 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 6.3049 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2648 loss: 1.2648 2022/06/28 09:08:20 - mmengine - INFO - Epoch(train) [54][2480/3757] lr: 1.000e-03 eta: 12:50:29 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 6.6040 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6403 loss: 1.6403 2022/06/28 09:08:26 - mmengine - INFO - Epoch(train) [54][2500/3757] lr: 1.000e-03 eta: 12:50:24 time: 0.221 data_time: 0.011 memory: 5148 grad_norm: 7.3018 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5115 loss: 1.5115 2022/06/28 09:08:32 - mmengine - INFO - Epoch(train) [54][2520/3757] lr: 1.000e-03 eta: 12:50:19 time: 0.219 data_time: 0.007 memory: 5148 grad_norm: 6.8982 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3478 loss: 1.3478 2022/06/28 09:08:36 - mmengine - INFO - Epoch(train) [54][2540/3757] lr: 1.000e-03 eta: 12:50:13 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 6.5483 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4459 loss: 1.4459 2022/06/28 09:08:42 - mmengine - INFO - Epoch(train) [54][2560/3757] lr: 1.000e-03 eta: 12:50:08 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 7.6074 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1503 loss: 1.1503 2022/06/28 09:08:47 - mmengine - INFO - Epoch(train) [54][2580/3757] lr: 1.000e-03 eta: 12:50:03 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 6.4236 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6422 loss: 1.6422 2022/06/28 09:08:53 - mmengine - INFO - Epoch(train) [54][2600/3757] lr: 1.000e-03 eta: 12:49:58 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 7.1392 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7331 loss: 1.7331 2022/06/28 09:08:57 - mmengine - INFO - Epoch(train) [54][2620/3757] lr: 1.000e-03 eta: 12:49:52 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 7.2165 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4347 loss: 1.4347 2022/06/28 09:09:03 - mmengine - INFO - Epoch(train) [54][2640/3757] lr: 1.000e-03 eta: 12:49:47 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 6.7923 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4203 loss: 1.4203 2022/06/28 09:09:08 - mmengine - INFO - Epoch(train) [54][2660/3757] lr: 1.000e-03 eta: 12:49:41 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 7.1452 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1215 loss: 1.1215 2022/06/28 09:09:14 - mmengine - INFO - Epoch(train) [54][2680/3757] lr: 1.000e-03 eta: 12:49:36 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 8.1174 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5981 loss: 1.5981 2022/06/28 09:09:18 - mmengine - INFO - Epoch(train) [54][2700/3757] lr: 1.000e-03 eta: 12:49:30 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.2244 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8897 loss: 1.8897 2022/06/28 09:09:23 - mmengine - INFO - Epoch(train) [54][2720/3757] lr: 1.000e-03 eta: 12:49:25 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.4214 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3009 loss: 1.3009 2022/06/28 09:09:29 - mmengine - INFO - Epoch(train) [54][2740/3757] lr: 1.000e-03 eta: 12:49:20 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 7.6909 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4155 loss: 1.4155 2022/06/28 09:09:35 - mmengine - INFO - Epoch(train) [54][2760/3757] lr: 1.000e-03 eta: 12:49:15 time: 0.205 data_time: 0.020 memory: 5148 grad_norm: 7.8092 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3973 loss: 1.3973 2022/06/28 09:09:39 - mmengine - INFO - Epoch(train) [54][2780/3757] lr: 1.000e-03 eta: 12:49:09 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 7.6793 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5040 loss: 1.5040 2022/06/28 09:09:45 - mmengine - INFO - Epoch(train) [54][2800/3757] lr: 1.000e-03 eta: 12:49:04 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 5.8091 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4330 loss: 1.4330 2022/06/28 09:09:50 - mmengine - INFO - Epoch(train) [54][2820/3757] lr: 1.000e-03 eta: 12:48:59 time: 0.198 data_time: 0.013 memory: 5148 grad_norm: 7.8730 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1187 loss: 1.1187 2022/06/28 09:09:55 - mmengine - INFO - Epoch(train) [54][2840/3757] lr: 1.000e-03 eta: 12:48:53 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 8.0802 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4663 loss: 1.4663 2022/06/28 09:10:01 - mmengine - INFO - Epoch(train) [54][2860/3757] lr: 1.000e-03 eta: 12:48:48 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 6.7434 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4684 loss: 1.4684 2022/06/28 09:10:07 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 09:10:07 - mmengine - INFO - Epoch(train) [54][2880/3757] lr: 1.000e-03 eta: 12:48:43 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 6.9143 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3829 loss: 1.3829 2022/06/28 09:10:11 - mmengine - INFO - Epoch(train) [54][2900/3757] lr: 1.000e-03 eta: 12:48:37 time: 0.342 data_time: 0.011 memory: 5148 grad_norm: 6.7350 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3934 loss: 1.3934 2022/06/28 09:10:17 - mmengine - INFO - Epoch(train) [54][2920/3757] lr: 1.000e-03 eta: 12:48:32 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 7.1467 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3347 loss: 1.3347 2022/06/28 09:10:22 - mmengine - INFO - Epoch(train) [54][2940/3757] lr: 1.000e-03 eta: 12:48:27 time: 0.202 data_time: 0.016 memory: 5148 grad_norm: 7.1312 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5740 loss: 1.5740 2022/06/28 09:10:27 - mmengine - INFO - Epoch(train) [54][2960/3757] lr: 1.000e-03 eta: 12:48:21 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 6.1282 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3785 loss: 1.3785 2022/06/28 09:10:33 - mmengine - INFO - Epoch(train) [54][2980/3757] lr: 1.000e-03 eta: 12:48:16 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 7.1304 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4506 loss: 1.4506 2022/06/28 09:10:39 - mmengine - INFO - Epoch(train) [54][3000/3757] lr: 1.000e-03 eta: 12:48:11 time: 0.196 data_time: 0.016 memory: 5148 grad_norm: 6.2480 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1183 loss: 1.1183 2022/06/28 09:10:44 - mmengine - INFO - Epoch(train) [54][3020/3757] lr: 1.000e-03 eta: 12:48:06 time: 0.987 data_time: 0.011 memory: 5148 grad_norm: 6.2150 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6042 loss: 1.6042 2022/06/28 09:10:49 - mmengine - INFO - Epoch(train) [54][3040/3757] lr: 1.000e-03 eta: 12:48:00 time: 0.213 data_time: 0.011 memory: 5148 grad_norm: 6.4567 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5187 loss: 1.5187 2022/06/28 09:10:54 - mmengine - INFO - Epoch(train) [54][3060/3757] lr: 1.000e-03 eta: 12:47:55 time: 0.207 data_time: 0.021 memory: 5148 grad_norm: 6.2695 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3883 loss: 1.3883 2022/06/28 09:11:00 - mmengine - INFO - Epoch(train) [54][3080/3757] lr: 1.000e-03 eta: 12:47:50 time: 0.729 data_time: 0.011 memory: 5148 grad_norm: 5.9806 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4188 loss: 1.4188 2022/06/28 09:11:05 - mmengine - INFO - Epoch(train) [54][3100/3757] lr: 1.000e-03 eta: 12:47:45 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 7.8596 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4553 loss: 1.4553 2022/06/28 09:11:10 - mmengine - INFO - Epoch(train) [54][3120/3757] lr: 1.000e-03 eta: 12:47:39 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 8.3926 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3819 loss: 1.3819 2022/06/28 09:11:16 - mmengine - INFO - Epoch(train) [54][3140/3757] lr: 1.000e-03 eta: 12:47:34 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 7.3109 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2916 loss: 1.2916 2022/06/28 09:11:20 - mmengine - INFO - Epoch(train) [54][3160/3757] lr: 1.000e-03 eta: 12:47:27 time: 0.196 data_time: 0.015 memory: 5148 grad_norm: 7.4693 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9865 loss: 0.9865 2022/06/28 09:11:25 - mmengine - INFO - Epoch(train) [54][3180/3757] lr: 1.000e-03 eta: 12:47:22 time: 0.200 data_time: 0.012 memory: 5148 grad_norm: 5.7361 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5396 loss: 1.5396 2022/06/28 09:11:30 - mmengine - INFO - Epoch(train) [54][3200/3757] lr: 1.000e-03 eta: 12:47:17 time: 0.311 data_time: 0.007 memory: 5148 grad_norm: 6.0765 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9973 loss: 0.9973 2022/06/28 09:11:36 - mmengine - INFO - Epoch(train) [54][3220/3757] lr: 1.000e-03 eta: 12:47:11 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 8.9757 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5485 loss: 1.5485 2022/06/28 09:11:41 - mmengine - INFO - Epoch(train) [54][3240/3757] lr: 1.000e-03 eta: 12:47:07 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 8.2420 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.6585 loss: 1.6585 2022/06/28 09:11:47 - mmengine - INFO - Epoch(train) [54][3260/3757] lr: 1.000e-03 eta: 12:47:01 time: 0.582 data_time: 0.007 memory: 5148 grad_norm: 6.7248 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6263 loss: 1.6263 2022/06/28 09:11:52 - mmengine - INFO - Epoch(train) [54][3280/3757] lr: 1.000e-03 eta: 12:46:56 time: 0.288 data_time: 0.011 memory: 5148 grad_norm: 7.2067 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2707 loss: 1.2707 2022/06/28 09:11:58 - mmengine - INFO - Epoch(train) [54][3300/3757] lr: 1.000e-03 eta: 12:46:51 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 7.6505 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9239 loss: 1.9239 2022/06/28 09:12:03 - mmengine - INFO - Epoch(train) [54][3320/3757] lr: 1.000e-03 eta: 12:46:45 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.6113 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0805 loss: 1.0805 2022/06/28 09:12:09 - mmengine - INFO - Epoch(train) [54][3340/3757] lr: 1.000e-03 eta: 12:46:40 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 6.7698 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3348 loss: 1.3348 2022/06/28 09:12:14 - mmengine - INFO - Epoch(train) [54][3360/3757] lr: 1.000e-03 eta: 12:46:35 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 6.9402 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4824 loss: 1.4824 2022/06/28 09:12:19 - mmengine - INFO - Epoch(train) [54][3380/3757] lr: 1.000e-03 eta: 12:46:30 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 7.1573 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2544 loss: 1.2544 2022/06/28 09:12:25 - mmengine - INFO - Epoch(train) [54][3400/3757] lr: 1.000e-03 eta: 12:46:25 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 6.4376 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3781 loss: 1.3781 2022/06/28 09:12:30 - mmengine - INFO - Epoch(train) [54][3420/3757] lr: 1.000e-03 eta: 12:46:19 time: 0.195 data_time: 0.021 memory: 5148 grad_norm: 6.6422 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1307 loss: 1.1307 2022/06/28 09:12:35 - mmengine - INFO - Epoch(train) [54][3440/3757] lr: 1.000e-03 eta: 12:46:14 time: 0.197 data_time: 0.018 memory: 5148 grad_norm: 6.5539 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5681 loss: 1.5681 2022/06/28 09:12:40 - mmengine - INFO - Epoch(train) [54][3460/3757] lr: 1.000e-03 eta: 12:46:08 time: 0.538 data_time: 0.010 memory: 5148 grad_norm: 6.2729 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0738 loss: 2.0738 2022/06/28 09:12:45 - mmengine - INFO - Epoch(train) [54][3480/3757] lr: 1.000e-03 eta: 12:46:03 time: 0.198 data_time: 0.013 memory: 5148 grad_norm: 6.8662 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5898 loss: 1.5898 2022/06/28 09:12:52 - mmengine - INFO - Epoch(train) [54][3500/3757] lr: 1.000e-03 eta: 12:45:58 time: 0.199 data_time: 0.015 memory: 5148 grad_norm: 8.7348 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2796 loss: 1.2796 2022/06/28 09:12:57 - mmengine - INFO - Epoch(train) [54][3520/3757] lr: 1.000e-03 eta: 12:45:53 time: 0.840 data_time: 0.007 memory: 5148 grad_norm: 7.3383 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6268 loss: 1.6268 2022/06/28 09:13:02 - mmengine - INFO - Epoch(train) [54][3540/3757] lr: 1.000e-03 eta: 12:45:47 time: 0.195 data_time: 0.013 memory: 5148 grad_norm: 7.6911 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6986 loss: 1.6986 2022/06/28 09:13:07 - mmengine - INFO - Epoch(train) [54][3560/3757] lr: 1.000e-03 eta: 12:45:42 time: 0.204 data_time: 0.018 memory: 5148 grad_norm: 7.4643 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5620 loss: 1.5620 2022/06/28 09:13:13 - mmengine - INFO - Epoch(train) [54][3580/3757] lr: 1.000e-03 eta: 12:45:38 time: 1.788 data_time: 0.025 memory: 5148 grad_norm: 5.2703 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5019 loss: 1.5019 2022/06/28 09:13:18 - mmengine - INFO - Epoch(train) [54][3600/3757] lr: 1.000e-03 eta: 12:45:31 time: 0.195 data_time: 0.012 memory: 5148 grad_norm: 6.2183 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8779 loss: 1.8779 2022/06/28 09:13:23 - mmengine - INFO - Epoch(train) [54][3620/3757] lr: 1.000e-03 eta: 12:45:26 time: 0.197 data_time: 0.012 memory: 5148 grad_norm: 7.3770 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4793 loss: 1.4793 2022/06/28 09:13:28 - mmengine - INFO - Epoch(train) [54][3640/3757] lr: 1.000e-03 eta: 12:45:20 time: 0.329 data_time: 0.010 memory: 5148 grad_norm: 5.8311 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3736 loss: 1.3736 2022/06/28 09:13:33 - mmengine - INFO - Epoch(train) [54][3660/3757] lr: 1.000e-03 eta: 12:45:15 time: 0.199 data_time: 0.013 memory: 5148 grad_norm: 6.5755 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3887 loss: 1.3887 2022/06/28 09:13:39 - mmengine - INFO - Epoch(train) [54][3680/3757] lr: 1.000e-03 eta: 12:45:10 time: 0.211 data_time: 0.010 memory: 5148 grad_norm: 7.5553 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3953 loss: 1.3953 2022/06/28 09:13:44 - mmengine - INFO - Epoch(train) [54][3700/3757] lr: 1.000e-03 eta: 12:45:05 time: 0.228 data_time: 0.014 memory: 5148 grad_norm: 6.8264 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5025 loss: 1.5025 2022/06/28 09:13:49 - mmengine - INFO - Epoch(train) [54][3720/3757] lr: 1.000e-03 eta: 12:44:59 time: 0.197 data_time: 0.016 memory: 5148 grad_norm: 6.9333 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5798 loss: 1.5798 2022/06/28 09:13:55 - mmengine - INFO - Epoch(train) [54][3740/3757] lr: 1.000e-03 eta: 12:44:54 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 7.0063 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4264 loss: 1.4264 2022/06/28 09:13:58 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 09:14:05 - mmengine - INFO - Epoch(val) [54][20/310] eta: 0:01:05 time: 0.088 data_time: 0.016 memory: 5148 2022/06/28 09:14:10 - mmengine - INFO - Epoch(val) [54][40/310] eta: 0:01:01 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 09:14:15 - mmengine - INFO - Epoch(val) [54][60/310] eta: 0:00:54 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 09:14:20 - mmengine - INFO - Epoch(val) [54][80/310] eta: 0:00:56 time: 0.114 data_time: 0.040 memory: 1367 2022/06/28 09:14:26 - mmengine - INFO - Epoch(val) [54][100/310] eta: 0:00:48 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 09:14:30 - mmengine - INFO - Epoch(val) [54][120/310] eta: 0:00:50 time: 0.348 data_time: 0.276 memory: 1367 2022/06/28 09:14:36 - mmengine - INFO - Epoch(val) [54][140/310] eta: 0:00:48 time: 0.363 data_time: 0.291 memory: 1367 2022/06/28 09:14:41 - mmengine - INFO - Epoch(val) [54][160/310] eta: 0:00:39 time: 0.597 data_time: 0.517 memory: 1367 2022/06/28 09:14:47 - mmengine - INFO - Epoch(val) [54][180/310] eta: 0:00:42 time: 0.656 data_time: 0.536 memory: 1367 2022/06/28 09:14:52 - mmengine - INFO - Epoch(val) [54][200/310] eta: 0:00:30 time: 0.481 data_time: 0.406 memory: 1367 2022/06/28 09:14:58 - mmengine - INFO - Epoch(val) [54][220/310] eta: 0:00:32 time: 0.086 data_time: 0.005 memory: 1367 2022/06/28 09:15:03 - mmengine - INFO - Epoch(val) [54][240/310] eta: 0:00:18 time: 0.122 data_time: 0.048 memory: 1367 2022/06/28 09:15:09 - mmengine - INFO - Epoch(val) [54][260/310] eta: 0:00:18 time: 0.092 data_time: 0.005 memory: 1367 2022/06/28 09:15:13 - mmengine - INFO - Epoch(val) [54][280/310] eta: 0:00:07 time: 0.083 data_time: 0.012 memory: 1367 2022/06/28 09:15:19 - mmengine - INFO - Epoch(val) [54][300/310] eta: 0:00:03 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 09:15:22 - mmengine - INFO - Epoch(val) [54][310/310] acc/top1: 0.6463 acc/top5: 0.8547 acc/mean1: 0.6463 2022/06/28 09:15:31 - mmengine - INFO - Epoch(train) [55][20/3757] lr: 1.000e-03 eta: 12:44:45 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.6631 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2618 loss: 1.2618 2022/06/28 09:15:37 - mmengine - INFO - Epoch(train) [55][40/3757] lr: 1.000e-03 eta: 12:44:40 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 6.5747 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4092 loss: 1.4092 2022/06/28 09:15:42 - mmengine - INFO - Epoch(train) [55][60/3757] lr: 1.000e-03 eta: 12:44:35 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 7.5454 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1794 loss: 1.1794 2022/06/28 09:15:47 - mmengine - INFO - Epoch(train) [55][80/3757] lr: 1.000e-03 eta: 12:44:29 time: 0.191 data_time: 0.008 memory: 5148 grad_norm: 7.1968 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4769 loss: 1.4769 2022/06/28 09:15:52 - mmengine - INFO - Epoch(train) [55][100/3757] lr: 1.000e-03 eta: 12:44:24 time: 0.208 data_time: 0.010 memory: 5148 grad_norm: 5.3629 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2700 loss: 1.2700 2022/06/28 09:15:57 - mmengine - INFO - Epoch(train) [55][120/3757] lr: 1.000e-03 eta: 12:44:18 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 7.0490 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2856 loss: 1.2856 2022/06/28 09:15:58 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 09:16:03 - mmengine - INFO - Epoch(train) [55][140/3757] lr: 1.000e-03 eta: 12:44:13 time: 0.256 data_time: 0.007 memory: 5148 grad_norm: 6.8608 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0460 loss: 1.0460 2022/06/28 09:16:09 - mmengine - INFO - Epoch(train) [55][160/3757] lr: 1.000e-03 eta: 12:44:08 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 7.6872 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9071 loss: 1.9071 2022/06/28 09:16:13 - mmengine - INFO - Epoch(train) [55][180/3757] lr: 1.000e-03 eta: 12:44:02 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 6.8198 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2712 loss: 1.2712 2022/06/28 09:16:19 - mmengine - INFO - Epoch(train) [55][200/3757] lr: 1.000e-03 eta: 12:43:57 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 7.2093 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9794 loss: 0.9794 2022/06/28 09:16:24 - mmengine - INFO - Epoch(train) [55][220/3757] lr: 1.000e-03 eta: 12:43:52 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 6.1745 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3876 loss: 1.3876 2022/06/28 09:16:29 - mmengine - INFO - Epoch(train) [55][240/3757] lr: 1.000e-03 eta: 12:43:46 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 6.9849 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6125 loss: 1.6125 2022/06/28 09:16:34 - mmengine - INFO - Epoch(train) [55][260/3757] lr: 1.000e-03 eta: 12:43:41 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 7.3473 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4573 loss: 1.4573 2022/06/28 09:16:40 - mmengine - INFO - Epoch(train) [55][280/3757] lr: 1.000e-03 eta: 12:43:35 time: 0.191 data_time: 0.011 memory: 5148 grad_norm: 7.5893 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5365 loss: 1.5365 2022/06/28 09:16:45 - mmengine - INFO - Epoch(train) [55][300/3757] lr: 1.000e-03 eta: 12:43:31 time: 0.931 data_time: 0.008 memory: 5148 grad_norm: 6.2986 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1396 loss: 1.1396 2022/06/28 09:16:50 - mmengine - INFO - Epoch(train) [55][320/3757] lr: 1.000e-03 eta: 12:43:25 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 6.0470 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3428 loss: 1.3428 2022/06/28 09:16:56 - mmengine - INFO - Epoch(train) [55][340/3757] lr: 1.000e-03 eta: 12:43:20 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 6.1950 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1333 loss: 1.1333 2022/06/28 09:17:01 - mmengine - INFO - Epoch(train) [55][360/3757] lr: 1.000e-03 eta: 12:43:14 time: 0.584 data_time: 0.007 memory: 5148 grad_norm: 7.8956 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3293 loss: 1.3293 2022/06/28 09:17:06 - mmengine - INFO - Epoch(train) [55][380/3757] lr: 1.000e-03 eta: 12:43:09 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.0852 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4722 loss: 1.4722 2022/06/28 09:17:11 - mmengine - INFO - Epoch(train) [55][400/3757] lr: 1.000e-03 eta: 12:43:03 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 8.1434 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6831 loss: 1.6831 2022/06/28 09:17:16 - mmengine - INFO - Epoch(train) [55][420/3757] lr: 1.000e-03 eta: 12:42:58 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 8.7163 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5303 loss: 1.5303 2022/06/28 09:17:22 - mmengine - INFO - Epoch(train) [55][440/3757] lr: 1.000e-03 eta: 12:42:53 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 6.1130 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1704 loss: 1.1704 2022/06/28 09:17:28 - mmengine - INFO - Epoch(train) [55][460/3757] lr: 1.000e-03 eta: 12:42:48 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.3686 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4814 loss: 1.4814 2022/06/28 09:17:33 - mmengine - INFO - Epoch(train) [55][480/3757] lr: 1.000e-03 eta: 12:42:42 time: 0.194 data_time: 0.015 memory: 5148 grad_norm: 6.7372 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4012 loss: 1.4012 2022/06/28 09:17:38 - mmengine - INFO - Epoch(train) [55][500/3757] lr: 1.000e-03 eta: 12:42:37 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 6.2641 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2159 loss: 1.2159 2022/06/28 09:17:44 - mmengine - INFO - Epoch(train) [55][520/3757] lr: 1.000e-03 eta: 12:42:32 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 5.9472 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4308 loss: 1.4308 2022/06/28 09:17:49 - mmengine - INFO - Epoch(train) [55][540/3757] lr: 1.000e-03 eta: 12:42:26 time: 0.214 data_time: 0.010 memory: 5148 grad_norm: 6.5591 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5802 loss: 1.5802 2022/06/28 09:17:53 - mmengine - INFO - Epoch(train) [55][560/3757] lr: 1.000e-03 eta: 12:42:20 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 6.3796 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2635 loss: 1.2635 2022/06/28 09:17:59 - mmengine - INFO - Epoch(train) [55][580/3757] lr: 1.000e-03 eta: 12:42:15 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 6.3253 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3111 loss: 1.3111 2022/06/28 09:18:04 - mmengine - INFO - Epoch(train) [55][600/3757] lr: 1.000e-03 eta: 12:42:10 time: 0.224 data_time: 0.006 memory: 5148 grad_norm: 6.0139 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3044 loss: 1.3044 2022/06/28 09:18:09 - mmengine - INFO - Epoch(train) [55][620/3757] lr: 1.000e-03 eta: 12:42:04 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 7.1589 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2977 loss: 1.2977 2022/06/28 09:18:15 - mmengine - INFO - Epoch(train) [55][640/3757] lr: 1.000e-03 eta: 12:41:59 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 8.4288 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4835 loss: 1.4835 2022/06/28 09:18:20 - mmengine - INFO - Epoch(train) [55][660/3757] lr: 1.000e-03 eta: 12:41:54 time: 0.207 data_time: 0.012 memory: 5148 grad_norm: 8.0497 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5995 loss: 1.5995 2022/06/28 09:18:25 - mmengine - INFO - Epoch(train) [55][680/3757] lr: 1.000e-03 eta: 12:41:48 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 7.2845 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2921 loss: 1.2921 2022/06/28 09:18:30 - mmengine - INFO - Epoch(train) [55][700/3757] lr: 1.000e-03 eta: 12:41:43 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 6.5573 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7169 loss: 1.7169 2022/06/28 09:18:35 - mmengine - INFO - Epoch(train) [55][720/3757] lr: 1.000e-03 eta: 12:41:37 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 7.3228 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6417 loss: 1.6417 2022/06/28 09:18:41 - mmengine - INFO - Epoch(train) [55][740/3757] lr: 1.000e-03 eta: 12:41:33 time: 0.656 data_time: 0.008 memory: 5148 grad_norm: 7.5015 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2751 loss: 1.2751 2022/06/28 09:18:46 - mmengine - INFO - Epoch(train) [55][760/3757] lr: 1.000e-03 eta: 12:41:27 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 7.1080 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0011 loss: 2.0011 2022/06/28 09:18:51 - mmengine - INFO - Epoch(train) [55][780/3757] lr: 1.000e-03 eta: 12:41:21 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 7.0911 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2366 loss: 1.2366 2022/06/28 09:18:57 - mmengine - INFO - Epoch(train) [55][800/3757] lr: 1.000e-03 eta: 12:41:16 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 7.4113 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0627 loss: 1.0627 2022/06/28 09:19:02 - mmengine - INFO - Epoch(train) [55][820/3757] lr: 1.000e-03 eta: 12:41:11 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.9511 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8876 loss: 1.8876 2022/06/28 09:19:07 - mmengine - INFO - Epoch(train) [55][840/3757] lr: 1.000e-03 eta: 12:41:06 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.6551 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3386 loss: 1.3386 2022/06/28 09:19:13 - mmengine - INFO - Epoch(train) [55][860/3757] lr: 1.000e-03 eta: 12:41:00 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 7.6527 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4467 loss: 1.4467 2022/06/28 09:19:18 - mmengine - INFO - Epoch(train) [55][880/3757] lr: 1.000e-03 eta: 12:40:55 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 7.1851 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4153 loss: 1.4153 2022/06/28 09:19:23 - mmengine - INFO - Epoch(train) [55][900/3757] lr: 1.000e-03 eta: 12:40:50 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 6.7526 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4793 loss: 1.4793 2022/06/28 09:19:29 - mmengine - INFO - Epoch(train) [55][920/3757] lr: 1.000e-03 eta: 12:40:44 time: 0.244 data_time: 0.007 memory: 5148 grad_norm: 5.7531 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6582 loss: 1.6582 2022/06/28 09:19:34 - mmengine - INFO - Epoch(train) [55][940/3757] lr: 1.000e-03 eta: 12:40:39 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 6.3702 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3152 loss: 1.3152 2022/06/28 09:19:40 - mmengine - INFO - Epoch(train) [55][960/3757] lr: 1.000e-03 eta: 12:40:34 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 6.8385 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4185 loss: 1.4185 2022/06/28 09:19:45 - mmengine - INFO - Epoch(train) [55][980/3757] lr: 1.000e-03 eta: 12:40:29 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 6.4661 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2896 loss: 1.2896 2022/06/28 09:19:50 - mmengine - INFO - Epoch(train) [55][1000/3757] lr: 1.000e-03 eta: 12:40:23 time: 0.198 data_time: 0.018 memory: 5148 grad_norm: 7.1436 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4152 loss: 1.4152 2022/06/28 09:19:55 - mmengine - INFO - Epoch(train) [55][1020/3757] lr: 1.000e-03 eta: 12:40:18 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 7.4881 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9066 loss: 0.9066 2022/06/28 09:20:00 - mmengine - INFO - Epoch(train) [55][1040/3757] lr: 1.000e-03 eta: 12:40:12 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 7.5837 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8355 loss: 1.8355 2022/06/28 09:20:06 - mmengine - INFO - Epoch(train) [55][1060/3757] lr: 1.000e-03 eta: 12:40:07 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 7.9253 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3396 loss: 1.3396 2022/06/28 09:20:11 - mmengine - INFO - Epoch(train) [55][1080/3757] lr: 1.000e-03 eta: 12:40:01 time: 0.210 data_time: 0.013 memory: 5148 grad_norm: 6.8098 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3340 loss: 1.3340 2022/06/28 09:20:16 - mmengine - INFO - Epoch(train) [55][1100/3757] lr: 1.000e-03 eta: 12:39:56 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 7.2674 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2800 loss: 1.2800 2022/06/28 09:20:22 - mmengine - INFO - Epoch(train) [55][1120/3757] lr: 1.000e-03 eta: 12:39:51 time: 0.204 data_time: 0.015 memory: 5148 grad_norm: 5.5946 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1254 loss: 1.1254 2022/06/28 09:20:22 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 09:20:27 - mmengine - INFO - Epoch(train) [55][1140/3757] lr: 1.000e-03 eta: 12:39:46 time: 0.209 data_time: 0.009 memory: 5148 grad_norm: 8.2101 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3264 loss: 1.3264 2022/06/28 09:20:32 - mmengine - INFO - Epoch(train) [55][1160/3757] lr: 1.000e-03 eta: 12:39:40 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 6.8594 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4398 loss: 1.4398 2022/06/28 09:20:38 - mmengine - INFO - Epoch(train) [55][1180/3757] lr: 1.000e-03 eta: 12:39:35 time: 0.203 data_time: 0.023 memory: 5148 grad_norm: 6.2860 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4649 loss: 1.4649 2022/06/28 09:20:43 - mmengine - INFO - Epoch(train) [55][1200/3757] lr: 1.000e-03 eta: 12:39:30 time: 0.212 data_time: 0.021 memory: 5148 grad_norm: 7.5008 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0199 loss: 1.0199 2022/06/28 09:20:48 - mmengine - INFO - Epoch(train) [55][1220/3757] lr: 1.000e-03 eta: 12:39:24 time: 0.198 data_time: 0.013 memory: 5148 grad_norm: 7.3781 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6104 loss: 1.6104 2022/06/28 09:20:54 - mmengine - INFO - Epoch(train) [55][1240/3757] lr: 1.000e-03 eta: 12:39:19 time: 0.223 data_time: 0.013 memory: 5148 grad_norm: 7.4410 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7058 loss: 1.7058 2022/06/28 09:20:59 - mmengine - INFO - Epoch(train) [55][1260/3757] lr: 1.000e-03 eta: 12:39:14 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 9.2522 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5013 loss: 1.5013 2022/06/28 09:21:04 - mmengine - INFO - Epoch(train) [55][1280/3757] lr: 1.000e-03 eta: 12:39:08 time: 0.199 data_time: 0.014 memory: 5148 grad_norm: 7.4059 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7984 loss: 1.7984 2022/06/28 09:21:10 - mmengine - INFO - Epoch(train) [55][1300/3757] lr: 1.000e-03 eta: 12:39:03 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 6.7140 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3594 loss: 1.3594 2022/06/28 09:21:15 - mmengine - INFO - Epoch(train) [55][1320/3757] lr: 1.000e-03 eta: 12:38:58 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 6.4845 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2652 loss: 1.2652 2022/06/28 09:21:20 - mmengine - INFO - Epoch(train) [55][1340/3757] lr: 1.000e-03 eta: 12:38:52 time: 0.198 data_time: 0.015 memory: 5148 grad_norm: 7.3726 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2078 loss: 1.2078 2022/06/28 09:21:26 - mmengine - INFO - Epoch(train) [55][1360/3757] lr: 1.000e-03 eta: 12:38:47 time: 0.190 data_time: 0.011 memory: 5148 grad_norm: 7.0466 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1997 loss: 1.1997 2022/06/28 09:21:31 - mmengine - INFO - Epoch(train) [55][1380/3757] lr: 1.000e-03 eta: 12:38:42 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 7.0372 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4816 loss: 1.4816 2022/06/28 09:21:36 - mmengine - INFO - Epoch(train) [55][1400/3757] lr: 1.000e-03 eta: 12:38:37 time: 0.207 data_time: 0.016 memory: 5148 grad_norm: 8.5603 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2936 loss: 1.2936 2022/06/28 09:21:41 - mmengine - INFO - Epoch(train) [55][1420/3757] lr: 1.000e-03 eta: 12:38:31 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 5.7096 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1874 loss: 1.1874 2022/06/28 09:21:47 - mmengine - INFO - Epoch(train) [55][1440/3757] lr: 1.000e-03 eta: 12:38:26 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 7.5054 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.3561 loss: 1.3561 2022/06/28 09:21:51 - mmengine - INFO - Epoch(train) [55][1460/3757] lr: 1.000e-03 eta: 12:38:20 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 5.7187 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5538 loss: 1.5538 2022/06/28 09:21:57 - mmengine - INFO - Epoch(train) [55][1480/3757] lr: 1.000e-03 eta: 12:38:15 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 5.9632 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8903 loss: 1.8903 2022/06/28 09:22:02 - mmengine - INFO - Epoch(train) [55][1500/3757] lr: 1.000e-03 eta: 12:38:10 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 7.7660 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7086 loss: 1.7086 2022/06/28 09:22:07 - mmengine - INFO - Epoch(train) [55][1520/3757] lr: 1.000e-03 eta: 12:38:04 time: 0.206 data_time: 0.024 memory: 5148 grad_norm: 7.3079 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3217 loss: 1.3217 2022/06/28 09:22:13 - mmengine - INFO - Epoch(train) [55][1540/3757] lr: 1.000e-03 eta: 12:37:59 time: 0.220 data_time: 0.007 memory: 5148 grad_norm: 6.6898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4684 loss: 1.4684 2022/06/28 09:22:18 - mmengine - INFO - Epoch(train) [55][1560/3757] lr: 1.000e-03 eta: 12:37:54 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 7.1784 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5285 loss: 1.5285 2022/06/28 09:22:24 - mmengine - INFO - Epoch(train) [55][1580/3757] lr: 1.000e-03 eta: 12:37:49 time: 0.691 data_time: 0.323 memory: 5148 grad_norm: 7.5867 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2710 loss: 1.2710 2022/06/28 09:22:30 - mmengine - INFO - Epoch(train) [55][1600/3757] lr: 1.000e-03 eta: 12:37:44 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 7.3756 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5651 loss: 1.5651 2022/06/28 09:22:35 - mmengine - INFO - Epoch(train) [55][1620/3757] lr: 1.000e-03 eta: 12:37:39 time: 0.372 data_time: 0.007 memory: 5148 grad_norm: 6.0418 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2084 loss: 1.2084 2022/06/28 09:22:40 - mmengine - INFO - Epoch(train) [55][1640/3757] lr: 1.000e-03 eta: 12:37:33 time: 0.244 data_time: 0.028 memory: 5148 grad_norm: 6.7713 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6604 loss: 1.6604 2022/06/28 09:22:45 - mmengine - INFO - Epoch(train) [55][1660/3757] lr: 1.000e-03 eta: 12:37:27 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 6.7263 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3464 loss: 1.3464 2022/06/28 09:22:51 - mmengine - INFO - Epoch(train) [55][1680/3757] lr: 1.000e-03 eta: 12:37:22 time: 0.224 data_time: 0.007 memory: 5148 grad_norm: 7.0847 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8001 loss: 1.8001 2022/06/28 09:22:56 - mmengine - INFO - Epoch(train) [55][1700/3757] lr: 1.000e-03 eta: 12:37:17 time: 0.906 data_time: 0.722 memory: 5148 grad_norm: 6.8339 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0602 loss: 1.0602 2022/06/28 09:23:01 - mmengine - INFO - Epoch(train) [55][1720/3757] lr: 1.000e-03 eta: 12:37:11 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 7.1969 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5330 loss: 1.5330 2022/06/28 09:23:06 - mmengine - INFO - Epoch(train) [55][1740/3757] lr: 1.000e-03 eta: 12:37:06 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 6.1606 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0604 loss: 1.0604 2022/06/28 09:23:12 - mmengine - INFO - Epoch(train) [55][1760/3757] lr: 1.000e-03 eta: 12:37:01 time: 0.764 data_time: 0.588 memory: 5148 grad_norm: 7.0479 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4892 loss: 1.4892 2022/06/28 09:23:17 - mmengine - INFO - Epoch(train) [55][1780/3757] lr: 1.000e-03 eta: 12:36:56 time: 0.222 data_time: 0.006 memory: 5148 grad_norm: 6.8506 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3260 loss: 1.3260 2022/06/28 09:23:23 - mmengine - INFO - Epoch(train) [55][1800/3757] lr: 1.000e-03 eta: 12:36:51 time: 0.204 data_time: 0.009 memory: 5148 grad_norm: 6.8731 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2446 loss: 1.2446 2022/06/28 09:23:28 - mmengine - INFO - Epoch(train) [55][1820/3757] lr: 1.000e-03 eta: 12:36:45 time: 0.561 data_time: 0.378 memory: 5148 grad_norm: 7.6497 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5809 loss: 1.5809 2022/06/28 09:23:33 - mmengine - INFO - Epoch(train) [55][1840/3757] lr: 1.000e-03 eta: 12:36:40 time: 0.231 data_time: 0.008 memory: 5148 grad_norm: 7.7286 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3858 loss: 1.3858 2022/06/28 09:23:38 - mmengine - INFO - Epoch(train) [55][1860/3757] lr: 1.000e-03 eta: 12:36:34 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.9133 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2752 loss: 1.2752 2022/06/28 09:23:44 - mmengine - INFO - Epoch(train) [55][1880/3757] lr: 1.000e-03 eta: 12:36:29 time: 0.250 data_time: 0.067 memory: 5148 grad_norm: 6.4813 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0058 loss: 1.0058 2022/06/28 09:23:49 - mmengine - INFO - Epoch(train) [55][1900/3757] lr: 1.000e-03 eta: 12:36:24 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 6.4650 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5456 loss: 1.5456 2022/06/28 09:23:55 - mmengine - INFO - Epoch(train) [55][1920/3757] lr: 1.000e-03 eta: 12:36:19 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 6.2505 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2890 loss: 1.2890 2022/06/28 09:24:00 - mmengine - INFO - Epoch(train) [55][1940/3757] lr: 1.000e-03 eta: 12:36:13 time: 0.547 data_time: 0.368 memory: 5148 grad_norm: 6.6393 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3823 loss: 1.3823 2022/06/28 09:24:05 - mmengine - INFO - Epoch(train) [55][1960/3757] lr: 1.000e-03 eta: 12:36:08 time: 0.211 data_time: 0.013 memory: 5148 grad_norm: 6.6687 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2130 loss: 1.2130 2022/06/28 09:24:11 - mmengine - INFO - Epoch(train) [55][1980/3757] lr: 1.000e-03 eta: 12:36:03 time: 0.222 data_time: 0.008 memory: 5148 grad_norm: 7.9293 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2412 loss: 1.2412 2022/06/28 09:24:16 - mmengine - INFO - Epoch(train) [55][2000/3757] lr: 1.000e-03 eta: 12:35:57 time: 0.224 data_time: 0.029 memory: 5148 grad_norm: 6.8236 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8112 loss: 1.8112 2022/06/28 09:24:21 - mmengine - INFO - Epoch(train) [55][2020/3757] lr: 1.000e-03 eta: 12:35:52 time: 0.205 data_time: 0.013 memory: 5148 grad_norm: 5.7987 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5930 loss: 1.5930 2022/06/28 09:24:26 - mmengine - INFO - Epoch(train) [55][2040/3757] lr: 1.000e-03 eta: 12:35:46 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 6.6085 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5560 loss: 1.5560 2022/06/28 09:24:32 - mmengine - INFO - Epoch(train) [55][2060/3757] lr: 1.000e-03 eta: 12:35:41 time: 0.218 data_time: 0.030 memory: 5148 grad_norm: 6.4404 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4400 loss: 1.4400 2022/06/28 09:24:37 - mmengine - INFO - Epoch(train) [55][2080/3757] lr: 1.000e-03 eta: 12:35:36 time: 0.209 data_time: 0.016 memory: 5148 grad_norm: 7.4272 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5608 loss: 1.5608 2022/06/28 09:24:42 - mmengine - INFO - Epoch(train) [55][2100/3757] lr: 1.000e-03 eta: 12:35:31 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 7.2101 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4997 loss: 1.4997 2022/06/28 09:24:48 - mmengine - INFO - Epoch(train) [55][2120/3757] lr: 1.000e-03 eta: 12:35:25 time: 0.213 data_time: 0.030 memory: 5148 grad_norm: 7.3143 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3628 loss: 1.3628 2022/06/28 09:24:48 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 09:24:54 - mmengine - INFO - Epoch(train) [55][2140/3757] lr: 1.000e-03 eta: 12:35:21 time: 0.262 data_time: 0.034 memory: 5148 grad_norm: 6.4130 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3932 loss: 1.3932 2022/06/28 09:24:58 - mmengine - INFO - Epoch(train) [55][2160/3757] lr: 1.000e-03 eta: 12:35:15 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 7.2119 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.6312 loss: 1.6312 2022/06/28 09:25:04 - mmengine - INFO - Epoch(train) [55][2180/3757] lr: 1.000e-03 eta: 12:35:10 time: 0.231 data_time: 0.023 memory: 5148 grad_norm: 6.3702 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5351 loss: 1.5351 2022/06/28 09:25:10 - mmengine - INFO - Epoch(train) [55][2200/3757] lr: 1.000e-03 eta: 12:35:05 time: 0.203 data_time: 0.009 memory: 5148 grad_norm: 7.7374 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4389 loss: 1.4389 2022/06/28 09:25:15 - mmengine - INFO - Epoch(train) [55][2220/3757] lr: 1.000e-03 eta: 12:35:00 time: 0.235 data_time: 0.007 memory: 5148 grad_norm: 7.0415 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2477 loss: 1.2477 2022/06/28 09:25:20 - mmengine - INFO - Epoch(train) [55][2240/3757] lr: 1.000e-03 eta: 12:34:54 time: 0.199 data_time: 0.015 memory: 5148 grad_norm: 7.6856 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3002 loss: 1.3002 2022/06/28 09:25:25 - mmengine - INFO - Epoch(train) [55][2260/3757] lr: 1.000e-03 eta: 12:34:49 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 7.8429 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4325 loss: 1.4325 2022/06/28 09:25:31 - mmengine - INFO - Epoch(train) [55][2280/3757] lr: 1.000e-03 eta: 12:34:44 time: 0.198 data_time: 0.012 memory: 5148 grad_norm: 7.7922 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3078 loss: 1.3078 2022/06/28 09:25:37 - mmengine - INFO - Epoch(train) [55][2300/3757] lr: 1.000e-03 eta: 12:34:38 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 6.7145 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3122 loss: 1.3122 2022/06/28 09:25:41 - mmengine - INFO - Epoch(train) [55][2320/3757] lr: 1.000e-03 eta: 12:34:32 time: 0.199 data_time: 0.015 memory: 5148 grad_norm: 6.7294 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2428 loss: 1.2428 2022/06/28 09:25:45 - mmengine - INFO - Epoch(train) [55][2340/3757] lr: 1.000e-03 eta: 12:34:26 time: 0.196 data_time: 0.016 memory: 5148 grad_norm: 7.9175 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4839 loss: 1.4839 2022/06/28 09:25:50 - mmengine - INFO - Epoch(train) [55][2360/3757] lr: 1.000e-03 eta: 12:34:20 time: 0.216 data_time: 0.011 memory: 5148 grad_norm: 7.5718 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3781 loss: 1.3781 2022/06/28 09:25:56 - mmengine - INFO - Epoch(train) [55][2380/3757] lr: 1.000e-03 eta: 12:34:15 time: 0.200 data_time: 0.013 memory: 5148 grad_norm: 7.4766 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6197 loss: 1.6197 2022/06/28 09:26:01 - mmengine - INFO - Epoch(train) [55][2400/3757] lr: 1.000e-03 eta: 12:34:10 time: 0.194 data_time: 0.014 memory: 5148 grad_norm: 8.2480 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7486 loss: 1.7486 2022/06/28 09:26:06 - mmengine - INFO - Epoch(train) [55][2420/3757] lr: 1.000e-03 eta: 12:34:05 time: 0.334 data_time: 0.152 memory: 5148 grad_norm: 6.1200 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3461 loss: 1.3461 2022/06/28 09:26:12 - mmengine - INFO - Epoch(train) [55][2440/3757] lr: 1.000e-03 eta: 12:33:59 time: 0.200 data_time: 0.016 memory: 5148 grad_norm: 6.6308 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3322 loss: 1.3322 2022/06/28 09:26:17 - mmengine - INFO - Epoch(train) [55][2460/3757] lr: 1.000e-03 eta: 12:33:55 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 7.9237 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2756 loss: 1.2756 2022/06/28 09:26:23 - mmengine - INFO - Epoch(train) [55][2480/3757] lr: 1.000e-03 eta: 12:33:49 time: 0.461 data_time: 0.048 memory: 5148 grad_norm: 5.7581 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3645 loss: 1.3645 2022/06/28 09:26:28 - mmengine - INFO - Epoch(train) [55][2500/3757] lr: 1.000e-03 eta: 12:33:44 time: 0.209 data_time: 0.012 memory: 5148 grad_norm: 8.3160 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6582 loss: 1.6582 2022/06/28 09:26:34 - mmengine - INFO - Epoch(train) [55][2520/3757] lr: 1.000e-03 eta: 12:33:39 time: 0.250 data_time: 0.010 memory: 5148 grad_norm: 6.0835 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6299 loss: 1.6299 2022/06/28 09:26:39 - mmengine - INFO - Epoch(train) [55][2540/3757] lr: 1.000e-03 eta: 12:33:33 time: 0.203 data_time: 0.028 memory: 5148 grad_norm: 6.7199 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8091 loss: 1.8091 2022/06/28 09:26:44 - mmengine - INFO - Epoch(train) [55][2560/3757] lr: 1.000e-03 eta: 12:33:28 time: 0.238 data_time: 0.010 memory: 5148 grad_norm: 7.9731 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5697 loss: 1.5697 2022/06/28 09:26:50 - mmengine - INFO - Epoch(train) [55][2580/3757] lr: 1.000e-03 eta: 12:33:23 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 7.2315 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5249 loss: 1.5249 2022/06/28 09:26:55 - mmengine - INFO - Epoch(train) [55][2600/3757] lr: 1.000e-03 eta: 12:33:17 time: 0.213 data_time: 0.031 memory: 5148 grad_norm: 7.7124 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3231 loss: 1.3231 2022/06/28 09:27:00 - mmengine - INFO - Epoch(train) [55][2620/3757] lr: 1.000e-03 eta: 12:33:12 time: 0.246 data_time: 0.011 memory: 5148 grad_norm: 6.9502 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2244 loss: 1.2244 2022/06/28 09:27:06 - mmengine - INFO - Epoch(train) [55][2640/3757] lr: 1.000e-03 eta: 12:33:07 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 8.4375 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2715 loss: 1.2715 2022/06/28 09:27:11 - mmengine - INFO - Epoch(train) [55][2660/3757] lr: 1.000e-03 eta: 12:33:01 time: 0.219 data_time: 0.018 memory: 5148 grad_norm: 6.8142 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1530 loss: 1.1530 2022/06/28 09:27:17 - mmengine - INFO - Epoch(train) [55][2680/3757] lr: 1.000e-03 eta: 12:32:57 time: 0.219 data_time: 0.010 memory: 5148 grad_norm: 7.5032 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8243 loss: 1.8243 2022/06/28 09:27:22 - mmengine - INFO - Epoch(train) [55][2700/3757] lr: 1.000e-03 eta: 12:32:51 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 7.9489 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7552 loss: 1.7552 2022/06/28 09:27:27 - mmengine - INFO - Epoch(train) [55][2720/3757] lr: 1.000e-03 eta: 12:32:46 time: 0.222 data_time: 0.010 memory: 5148 grad_norm: 7.4725 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5056 loss: 1.5056 2022/06/28 09:27:33 - mmengine - INFO - Epoch(train) [55][2740/3757] lr: 1.000e-03 eta: 12:32:41 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 7.3224 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7681 loss: 1.7681 2022/06/28 09:27:38 - mmengine - INFO - Epoch(train) [55][2760/3757] lr: 1.000e-03 eta: 12:32:36 time: 0.220 data_time: 0.011 memory: 5148 grad_norm: 7.3036 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7457 loss: 1.7457 2022/06/28 09:27:43 - mmengine - INFO - Epoch(train) [55][2780/3757] lr: 1.000e-03 eta: 12:32:30 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 7.6939 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.9275 loss: 1.9275 2022/06/28 09:27:48 - mmengine - INFO - Epoch(train) [55][2800/3757] lr: 1.000e-03 eta: 12:32:25 time: 0.215 data_time: 0.014 memory: 5148 grad_norm: 7.2748 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6067 loss: 1.6067 2022/06/28 09:27:55 - mmengine - INFO - Epoch(train) [55][2820/3757] lr: 1.000e-03 eta: 12:32:20 time: 0.233 data_time: 0.007 memory: 5148 grad_norm: 7.1852 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4045 loss: 1.4045 2022/06/28 09:27:59 - mmengine - INFO - Epoch(train) [55][2840/3757] lr: 1.000e-03 eta: 12:32:14 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 6.7718 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1875 loss: 1.1875 2022/06/28 09:28:04 - mmengine - INFO - Epoch(train) [55][2860/3757] lr: 1.000e-03 eta: 12:32:08 time: 0.211 data_time: 0.026 memory: 5148 grad_norm: 7.6357 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4507 loss: 1.4507 2022/06/28 09:28:10 - mmengine - INFO - Epoch(train) [55][2880/3757] lr: 1.000e-03 eta: 12:32:03 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 6.9657 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6848 loss: 1.6848 2022/06/28 09:28:15 - mmengine - INFO - Epoch(train) [55][2900/3757] lr: 1.000e-03 eta: 12:31:58 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 5.8779 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3090 loss: 1.3090 2022/06/28 09:28:20 - mmengine - INFO - Epoch(train) [55][2920/3757] lr: 1.000e-03 eta: 12:31:52 time: 0.219 data_time: 0.016 memory: 5148 grad_norm: 8.2116 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3315 loss: 1.3315 2022/06/28 09:28:26 - mmengine - INFO - Epoch(train) [55][2940/3757] lr: 1.000e-03 eta: 12:31:47 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 6.4375 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6267 loss: 1.6267 2022/06/28 09:28:30 - mmengine - INFO - Epoch(train) [55][2960/3757] lr: 1.000e-03 eta: 12:31:42 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 7.2660 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1086 loss: 1.1086 2022/06/28 09:28:36 - mmengine - INFO - Epoch(train) [55][2980/3757] lr: 1.000e-03 eta: 12:31:36 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 7.6784 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5454 loss: 1.5454 2022/06/28 09:28:41 - mmengine - INFO - Epoch(train) [55][3000/3757] lr: 1.000e-03 eta: 12:31:31 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 7.2175 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5373 loss: 1.5373 2022/06/28 09:28:46 - mmengine - INFO - Epoch(train) [55][3020/3757] lr: 1.000e-03 eta: 12:31:25 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.8087 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2906 loss: 1.2906 2022/06/28 09:28:52 - mmengine - INFO - Epoch(train) [55][3040/3757] lr: 1.000e-03 eta: 12:31:20 time: 0.197 data_time: 0.013 memory: 5148 grad_norm: 7.2007 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4560 loss: 1.4560 2022/06/28 09:28:57 - mmengine - INFO - Epoch(train) [55][3060/3757] lr: 1.000e-03 eta: 12:31:15 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 6.7992 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3208 loss: 1.3208 2022/06/28 09:29:02 - mmengine - INFO - Epoch(train) [55][3080/3757] lr: 1.000e-03 eta: 12:31:09 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.9188 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2247 loss: 1.2247 2022/06/28 09:29:07 - mmengine - INFO - Epoch(train) [55][3100/3757] lr: 1.000e-03 eta: 12:31:04 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 6.5705 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4223 loss: 1.4223 2022/06/28 09:29:13 - mmengine - INFO - Epoch(train) [55][3120/3757] lr: 1.000e-03 eta: 12:30:59 time: 0.193 data_time: 0.008 memory: 5148 grad_norm: 7.3030 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5229 loss: 1.5229 2022/06/28 09:29:13 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 09:29:18 - mmengine - INFO - Epoch(train) [55][3140/3757] lr: 1.000e-03 eta: 12:30:54 time: 0.192 data_time: 0.008 memory: 5148 grad_norm: 8.0580 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5117 loss: 1.5117 2022/06/28 09:29:23 - mmengine - INFO - Epoch(train) [55][3160/3757] lr: 1.000e-03 eta: 12:30:48 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 7.0105 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0023 loss: 2.0023 2022/06/28 09:29:29 - mmengine - INFO - Epoch(train) [55][3180/3757] lr: 1.000e-03 eta: 12:30:43 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 5.7516 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1736 loss: 1.1736 2022/06/28 09:29:34 - mmengine - INFO - Epoch(train) [55][3200/3757] lr: 1.000e-03 eta: 12:30:37 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 6.2411 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3231 loss: 1.3231 2022/06/28 09:29:39 - mmengine - INFO - Epoch(train) [55][3220/3757] lr: 1.000e-03 eta: 12:30:32 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 6.8142 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6672 loss: 1.6672 2022/06/28 09:29:45 - mmengine - INFO - Epoch(train) [55][3240/3757] lr: 1.000e-03 eta: 12:30:27 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 6.8730 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4743 loss: 1.4743 2022/06/28 09:29:50 - mmengine - INFO - Epoch(train) [55][3260/3757] lr: 1.000e-03 eta: 12:30:22 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.5662 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0321 loss: 1.0321 2022/06/28 09:29:55 - mmengine - INFO - Epoch(train) [55][3280/3757] lr: 1.000e-03 eta: 12:30:16 time: 0.217 data_time: 0.008 memory: 5148 grad_norm: 7.0139 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5657 loss: 1.5657 2022/06/28 09:30:00 - mmengine - INFO - Epoch(train) [55][3300/3757] lr: 1.000e-03 eta: 12:30:11 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 6.0060 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2876 loss: 1.2876 2022/06/28 09:30:06 - mmengine - INFO - Epoch(train) [55][3320/3757] lr: 1.000e-03 eta: 12:30:06 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 7.1488 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2552 loss: 1.2552 2022/06/28 09:30:11 - mmengine - INFO - Epoch(train) [55][3340/3757] lr: 1.000e-03 eta: 12:30:00 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 8.4698 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5230 loss: 1.5230 2022/06/28 09:30:17 - mmengine - INFO - Epoch(train) [55][3360/3757] lr: 1.000e-03 eta: 12:29:55 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 7.0056 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8121 loss: 1.8121 2022/06/28 09:30:22 - mmengine - INFO - Epoch(train) [55][3380/3757] lr: 1.000e-03 eta: 12:29:50 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 7.5108 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2555 loss: 1.2555 2022/06/28 09:30:27 - mmengine - INFO - Epoch(train) [55][3400/3757] lr: 1.000e-03 eta: 12:29:44 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.8112 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6617 loss: 1.6617 2022/06/28 09:30:32 - mmengine - INFO - Epoch(train) [55][3420/3757] lr: 1.000e-03 eta: 12:29:39 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 7.1183 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3821 loss: 1.3821 2022/06/28 09:30:37 - mmengine - INFO - Epoch(train) [55][3440/3757] lr: 1.000e-03 eta: 12:29:33 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.2277 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7334 loss: 1.7334 2022/06/28 09:30:42 - mmengine - INFO - Epoch(train) [55][3460/3757] lr: 1.000e-03 eta: 12:29:28 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 6.6648 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2210 loss: 1.2210 2022/06/28 09:30:47 - mmengine - INFO - Epoch(train) [55][3480/3757] lr: 1.000e-03 eta: 12:29:22 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.4834 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1903 loss: 1.1903 2022/06/28 09:30:52 - mmengine - INFO - Epoch(train) [55][3500/3757] lr: 1.000e-03 eta: 12:29:17 time: 0.208 data_time: 0.006 memory: 5148 grad_norm: 8.1612 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5394 loss: 1.5394 2022/06/28 09:30:58 - mmengine - INFO - Epoch(train) [55][3520/3757] lr: 1.000e-03 eta: 12:29:12 time: 0.559 data_time: 0.011 memory: 5148 grad_norm: 7.9550 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2306 loss: 1.2306 2022/06/28 09:31:03 - mmengine - INFO - Epoch(train) [55][3540/3757] lr: 1.000e-03 eta: 12:29:06 time: 0.206 data_time: 0.016 memory: 5148 grad_norm: 6.8575 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4618 loss: 1.4618 2022/06/28 09:31:09 - mmengine - INFO - Epoch(train) [55][3560/3757] lr: 1.000e-03 eta: 12:29:01 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 7.1530 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2947 loss: 1.2947 2022/06/28 09:31:14 - mmengine - INFO - Epoch(train) [55][3580/3757] lr: 1.000e-03 eta: 12:28:56 time: 0.353 data_time: 0.008 memory: 5148 grad_norm: 6.2303 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2770 loss: 1.2770 2022/06/28 09:31:19 - mmengine - INFO - Epoch(train) [55][3600/3757] lr: 1.000e-03 eta: 12:28:51 time: 0.203 data_time: 0.015 memory: 5148 grad_norm: 5.7103 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2456 loss: 1.2456 2022/06/28 09:31:24 - mmengine - INFO - Epoch(train) [55][3620/3757] lr: 1.000e-03 eta: 12:28:45 time: 0.280 data_time: 0.011 memory: 5148 grad_norm: 6.8478 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3824 loss: 1.3824 2022/06/28 09:31:30 - mmengine - INFO - Epoch(train) [55][3640/3757] lr: 1.000e-03 eta: 12:28:40 time: 0.220 data_time: 0.007 memory: 5148 grad_norm: 7.2827 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2456 loss: 1.2456 2022/06/28 09:31:35 - mmengine - INFO - Epoch(train) [55][3660/3757] lr: 1.000e-03 eta: 12:28:34 time: 0.208 data_time: 0.016 memory: 5148 grad_norm: 6.5641 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3735 loss: 1.3735 2022/06/28 09:31:40 - mmengine - INFO - Epoch(train) [55][3680/3757] lr: 1.000e-03 eta: 12:28:28 time: 0.197 data_time: 0.018 memory: 5148 grad_norm: 6.5227 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6048 loss: 1.6048 2022/06/28 09:31:45 - mmengine - INFO - Epoch(train) [55][3700/3757] lr: 1.000e-03 eta: 12:28:23 time: 0.240 data_time: 0.010 memory: 5148 grad_norm: 7.3111 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1758 loss: 1.1758 2022/06/28 09:31:51 - mmengine - INFO - Epoch(train) [55][3720/3757] lr: 1.000e-03 eta: 12:28:18 time: 0.209 data_time: 0.033 memory: 5148 grad_norm: 6.8704 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3513 loss: 1.3513 2022/06/28 09:31:56 - mmengine - INFO - Epoch(train) [55][3740/3757] lr: 1.000e-03 eta: 12:28:13 time: 0.203 data_time: 0.015 memory: 5148 grad_norm: 6.6319 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0804 loss: 1.0804 2022/06/28 09:31:59 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 09:31:59 - mmengine - INFO - Saving checkpoint at 55 epochs 2022/06/28 09:32:08 - mmengine - INFO - Epoch(val) [55][20/310] eta: 0:01:07 time: 0.079 data_time: 0.008 memory: 5148 2022/06/28 09:32:12 - mmengine - INFO - Epoch(val) [55][40/310] eta: 0:01:01 time: 0.080 data_time: 0.008 memory: 1367 2022/06/28 09:32:18 - mmengine - INFO - Epoch(val) [55][60/310] eta: 0:00:51 time: 0.078 data_time: 0.005 memory: 1367 2022/06/28 09:32:23 - mmengine - INFO - Epoch(val) [55][80/310] eta: 0:01:10 time: 0.747 data_time: 0.668 memory: 1367 2022/06/28 09:32:28 - mmengine - INFO - Epoch(val) [55][100/310] eta: 0:00:48 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 09:32:33 - mmengine - INFO - Epoch(val) [55][120/310] eta: 0:00:52 time: 0.494 data_time: 0.421 memory: 1367 2022/06/28 09:32:39 - mmengine - INFO - Epoch(val) [55][140/310] eta: 0:00:40 time: 0.145 data_time: 0.069 memory: 1367 2022/06/28 09:32:44 - mmengine - INFO - Epoch(val) [55][160/310] eta: 0:00:47 time: 1.065 data_time: 0.987 memory: 1367 2022/06/28 09:32:49 - mmengine - INFO - Epoch(val) [55][180/310] eta: 0:00:35 time: 0.439 data_time: 0.367 memory: 1367 2022/06/28 09:32:55 - mmengine - INFO - Epoch(val) [55][200/310] eta: 0:00:31 time: 0.832 data_time: 0.759 memory: 1367 2022/06/28 09:33:00 - mmengine - INFO - Epoch(val) [55][220/310] eta: 0:00:25 time: 0.230 data_time: 0.152 memory: 1367 2022/06/28 09:33:05 - mmengine - INFO - Epoch(val) [55][240/310] eta: 0:00:18 time: 0.504 data_time: 0.431 memory: 1367 2022/06/28 09:33:10 - mmengine - INFO - Epoch(val) [55][260/310] eta: 0:00:13 time: 0.315 data_time: 0.239 memory: 1367 2022/06/28 09:33:15 - mmengine - INFO - Epoch(val) [55][280/310] eta: 0:00:08 time: 0.661 data_time: 0.584 memory: 1367 2022/06/28 09:33:20 - mmengine - INFO - Epoch(val) [55][300/310] eta: 0:00:02 time: 0.176 data_time: 0.099 memory: 1367 2022/06/28 09:33:22 - mmengine - INFO - Epoch(val) [55][310/310] acc/top1: 0.6448 acc/top5: 0.8565 acc/mean1: 0.6447 2022/06/28 09:33:31 - mmengine - INFO - Epoch(train) [56][20/3757] lr: 1.000e-03 eta: 12:28:03 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 8.2616 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2794 loss: 1.2794 2022/06/28 09:33:37 - mmengine - INFO - Epoch(train) [56][40/3757] lr: 1.000e-03 eta: 12:27:58 time: 0.197 data_time: 0.014 memory: 5148 grad_norm: 6.0361 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2240 loss: 1.2240 2022/06/28 09:33:41 - mmengine - INFO - Epoch(train) [56][60/3757] lr: 1.000e-03 eta: 12:27:53 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 6.8001 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1118 loss: 1.1118 2022/06/28 09:33:47 - mmengine - INFO - Epoch(train) [56][80/3757] lr: 1.000e-03 eta: 12:27:48 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 7.2634 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2545 loss: 1.2545 2022/06/28 09:33:52 - mmengine - INFO - Epoch(train) [56][100/3757] lr: 1.000e-03 eta: 12:27:42 time: 0.200 data_time: 0.023 memory: 5148 grad_norm: 7.8918 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7667 loss: 0.7667 2022/06/28 09:33:57 - mmengine - INFO - Epoch(train) [56][120/3757] lr: 1.000e-03 eta: 12:27:36 time: 0.193 data_time: 0.008 memory: 5148 grad_norm: 6.6564 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7950 loss: 1.7950 2022/06/28 09:34:02 - mmengine - INFO - Epoch(train) [56][140/3757] lr: 1.000e-03 eta: 12:27:31 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 6.4940 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5048 loss: 1.5048 2022/06/28 09:34:08 - mmengine - INFO - Epoch(train) [56][160/3757] lr: 1.000e-03 eta: 12:27:26 time: 0.200 data_time: 0.013 memory: 5148 grad_norm: 6.7246 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4574 loss: 1.4574 2022/06/28 09:34:13 - mmengine - INFO - Epoch(train) [56][180/3757] lr: 1.000e-03 eta: 12:27:21 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 7.1941 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3923 loss: 1.3923 2022/06/28 09:34:19 - mmengine - INFO - Epoch(train) [56][200/3757] lr: 1.000e-03 eta: 12:27:16 time: 0.206 data_time: 0.022 memory: 5148 grad_norm: 6.9384 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2191 loss: 1.2191 2022/06/28 09:34:25 - mmengine - INFO - Epoch(train) [56][220/3757] lr: 1.000e-03 eta: 12:27:11 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 6.0481 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1437 loss: 1.1437 2022/06/28 09:34:30 - mmengine - INFO - Epoch(train) [56][240/3757] lr: 1.000e-03 eta: 12:27:05 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 7.2015 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2951 loss: 1.2951 2022/06/28 09:34:35 - mmengine - INFO - Epoch(train) [56][260/3757] lr: 1.000e-03 eta: 12:27:00 time: 0.218 data_time: 0.008 memory: 5148 grad_norm: 6.9307 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2166 loss: 1.2166 2022/06/28 09:34:40 - mmengine - INFO - Epoch(train) [56][280/3757] lr: 1.000e-03 eta: 12:26:55 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 7.6582 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3627 loss: 1.3627 2022/06/28 09:34:46 - mmengine - INFO - Epoch(train) [56][300/3757] lr: 1.000e-03 eta: 12:26:49 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 7.6540 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5761 loss: 1.5761 2022/06/28 09:34:51 - mmengine - INFO - Epoch(train) [56][320/3757] lr: 1.000e-03 eta: 12:26:44 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 7.2182 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5580 loss: 1.5580 2022/06/28 09:34:56 - mmengine - INFO - Epoch(train) [56][340/3757] lr: 1.000e-03 eta: 12:26:39 time: 0.190 data_time: 0.010 memory: 5148 grad_norm: 7.3104 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6832 loss: 1.6832 2022/06/28 09:35:01 - mmengine - INFO - Epoch(train) [56][360/3757] lr: 1.000e-03 eta: 12:26:33 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 7.5552 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.5675 loss: 1.5675 2022/06/28 09:35:03 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 09:35:08 - mmengine - INFO - Epoch(train) [56][380/3757] lr: 1.000e-03 eta: 12:26:29 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 7.3093 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3371 loss: 1.3371 2022/06/28 09:35:12 - mmengine - INFO - Epoch(train) [56][400/3757] lr: 1.000e-03 eta: 12:26:22 time: 0.203 data_time: 0.014 memory: 5148 grad_norm: 5.7649 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2773 loss: 1.2773 2022/06/28 09:35:17 - mmengine - INFO - Epoch(train) [56][420/3757] lr: 1.000e-03 eta: 12:26:17 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 5.2930 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1732 loss: 1.1732 2022/06/28 09:35:22 - mmengine - INFO - Epoch(train) [56][440/3757] lr: 1.000e-03 eta: 12:26:11 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 6.2203 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0507 loss: 1.0507 2022/06/28 09:35:28 - mmengine - INFO - Epoch(train) [56][460/3757] lr: 1.000e-03 eta: 12:26:07 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 6.5772 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2855 loss: 1.2855 2022/06/28 09:35:32 - mmengine - INFO - Epoch(train) [56][480/3757] lr: 1.000e-03 eta: 12:26:00 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 7.2184 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2960 loss: 1.2960 2022/06/28 09:35:38 - mmengine - INFO - Epoch(train) [56][500/3757] lr: 1.000e-03 eta: 12:25:55 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.1281 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2926 loss: 1.2926 2022/06/28 09:35:43 - mmengine - INFO - Epoch(train) [56][520/3757] lr: 1.000e-03 eta: 12:25:50 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 7.6489 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4317 loss: 1.4317 2022/06/28 09:35:48 - mmengine - INFO - Epoch(train) [56][540/3757] lr: 1.000e-03 eta: 12:25:44 time: 0.188 data_time: 0.009 memory: 5148 grad_norm: 7.6735 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5147 loss: 1.5147 2022/06/28 09:35:53 - mmengine - INFO - Epoch(train) [56][560/3757] lr: 1.000e-03 eta: 12:25:39 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 6.4449 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2779 loss: 1.2779 2022/06/28 09:35:59 - mmengine - INFO - Epoch(train) [56][580/3757] lr: 1.000e-03 eta: 12:25:34 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 6.8131 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4015 loss: 1.4015 2022/06/28 09:36:04 - mmengine - INFO - Epoch(train) [56][600/3757] lr: 1.000e-03 eta: 12:25:28 time: 0.195 data_time: 0.009 memory: 5148 grad_norm: 6.9757 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5683 loss: 1.5683 2022/06/28 09:36:10 - mmengine - INFO - Epoch(train) [56][620/3757] lr: 1.000e-03 eta: 12:25:23 time: 0.307 data_time: 0.007 memory: 5148 grad_norm: 8.3623 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1410 loss: 1.1410 2022/06/28 09:36:16 - mmengine - INFO - Epoch(train) [56][640/3757] lr: 1.000e-03 eta: 12:25:19 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 7.3175 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6723 loss: 1.6723 2022/06/28 09:36:20 - mmengine - INFO - Epoch(train) [56][660/3757] lr: 1.000e-03 eta: 12:25:13 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 5.5780 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3708 loss: 1.3708 2022/06/28 09:36:26 - mmengine - INFO - Epoch(train) [56][680/3757] lr: 1.000e-03 eta: 12:25:08 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 7.7323 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2564 loss: 1.2564 2022/06/28 09:36:31 - mmengine - INFO - Epoch(train) [56][700/3757] lr: 1.000e-03 eta: 12:25:03 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 5.6617 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1336 loss: 1.1336 2022/06/28 09:36:37 - mmengine - INFO - Epoch(train) [56][720/3757] lr: 1.000e-03 eta: 12:24:57 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 6.7705 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3281 loss: 1.3281 2022/06/28 09:36:42 - mmengine - INFO - Epoch(train) [56][740/3757] lr: 1.000e-03 eta: 12:24:52 time: 0.825 data_time: 0.016 memory: 5148 grad_norm: 7.9122 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1760 loss: 1.1760 2022/06/28 09:36:47 - mmengine - INFO - Epoch(train) [56][760/3757] lr: 1.000e-03 eta: 12:24:46 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 6.9704 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5413 loss: 1.5413 2022/06/28 09:36:53 - mmengine - INFO - Epoch(train) [56][780/3757] lr: 1.000e-03 eta: 12:24:41 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 7.9921 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9617 loss: 0.9617 2022/06/28 09:36:58 - mmengine - INFO - Epoch(train) [56][800/3757] lr: 1.000e-03 eta: 12:24:36 time: 0.580 data_time: 0.014 memory: 5148 grad_norm: 7.4472 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.4206 loss: 1.4206 2022/06/28 09:37:03 - mmengine - INFO - Epoch(train) [56][820/3757] lr: 1.000e-03 eta: 12:24:30 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 8.7486 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7109 loss: 1.7109 2022/06/28 09:37:08 - mmengine - INFO - Epoch(train) [56][840/3757] lr: 1.000e-03 eta: 12:24:25 time: 0.211 data_time: 0.008 memory: 5148 grad_norm: 5.6194 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5913 loss: 1.5913 2022/06/28 09:37:14 - mmengine - INFO - Epoch(train) [56][860/3757] lr: 1.000e-03 eta: 12:24:20 time: 0.837 data_time: 0.007 memory: 5148 grad_norm: 6.3416 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4062 loss: 1.4062 2022/06/28 09:37:19 - mmengine - INFO - Epoch(train) [56][880/3757] lr: 1.000e-03 eta: 12:24:14 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 7.4040 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7909 loss: 1.7909 2022/06/28 09:37:24 - mmengine - INFO - Epoch(train) [56][900/3757] lr: 1.000e-03 eta: 12:24:09 time: 0.202 data_time: 0.012 memory: 5148 grad_norm: 8.1027 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5784 loss: 1.5784 2022/06/28 09:37:30 - mmengine - INFO - Epoch(train) [56][920/3757] lr: 1.000e-03 eta: 12:24:04 time: 0.429 data_time: 0.006 memory: 5148 grad_norm: 7.5987 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2419 loss: 1.2419 2022/06/28 09:37:34 - mmengine - INFO - Epoch(train) [56][940/3757] lr: 1.000e-03 eta: 12:23:58 time: 0.197 data_time: 0.012 memory: 5148 grad_norm: 8.1081 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.3638 loss: 1.3638 2022/06/28 09:37:40 - mmengine - INFO - Epoch(train) [56][960/3757] lr: 1.000e-03 eta: 12:23:53 time: 0.208 data_time: 0.015 memory: 5148 grad_norm: 6.8696 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4929 loss: 1.4929 2022/06/28 09:37:46 - mmengine - INFO - Epoch(train) [56][980/3757] lr: 1.000e-03 eta: 12:23:48 time: 1.501 data_time: 0.008 memory: 5148 grad_norm: 7.0014 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4426 loss: 1.4426 2022/06/28 09:37:50 - mmengine - INFO - Epoch(train) [56][1000/3757] lr: 1.000e-03 eta: 12:23:42 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 6.1891 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3847 loss: 1.3847 2022/06/28 09:37:55 - mmengine - INFO - Epoch(train) [56][1020/3757] lr: 1.000e-03 eta: 12:23:36 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 7.6721 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5056 loss: 1.5056 2022/06/28 09:38:01 - mmengine - INFO - Epoch(train) [56][1040/3757] lr: 1.000e-03 eta: 12:23:31 time: 0.923 data_time: 0.006 memory: 5148 grad_norm: 5.8357 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3844 loss: 1.3844 2022/06/28 09:38:06 - mmengine - INFO - Epoch(train) [56][1060/3757] lr: 1.000e-03 eta: 12:23:26 time: 0.219 data_time: 0.008 memory: 5148 grad_norm: 7.3815 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0356 loss: 1.0356 2022/06/28 09:38:12 - mmengine - INFO - Epoch(train) [56][1080/3757] lr: 1.000e-03 eta: 12:23:21 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 7.4289 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4328 loss: 1.4328 2022/06/28 09:38:17 - mmengine - INFO - Epoch(train) [56][1100/3757] lr: 1.000e-03 eta: 12:23:16 time: 0.839 data_time: 0.006 memory: 5148 grad_norm: 5.8760 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1992 loss: 1.1992 2022/06/28 09:38:22 - mmengine - INFO - Epoch(train) [56][1120/3757] lr: 1.000e-03 eta: 12:23:10 time: 0.230 data_time: 0.007 memory: 5148 grad_norm: 7.4091 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4035 loss: 1.4035 2022/06/28 09:38:27 - mmengine - INFO - Epoch(train) [56][1140/3757] lr: 1.000e-03 eta: 12:23:05 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 8.1037 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3119 loss: 1.3119 2022/06/28 09:38:33 - mmengine - INFO - Epoch(train) [56][1160/3757] lr: 1.000e-03 eta: 12:22:59 time: 0.596 data_time: 0.012 memory: 5148 grad_norm: 7.3220 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0778 loss: 1.0778 2022/06/28 09:38:38 - mmengine - INFO - Epoch(train) [56][1180/3757] lr: 1.000e-03 eta: 12:22:54 time: 0.742 data_time: 0.006 memory: 5148 grad_norm: 7.5831 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3111 loss: 1.3111 2022/06/28 09:38:43 - mmengine - INFO - Epoch(train) [56][1200/3757] lr: 1.000e-03 eta: 12:22:48 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 7.5483 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4548 loss: 1.4548 2022/06/28 09:38:48 - mmengine - INFO - Epoch(train) [56][1220/3757] lr: 1.000e-03 eta: 12:22:43 time: 0.225 data_time: 0.009 memory: 5148 grad_norm: 7.9306 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8527 loss: 1.8527 2022/06/28 09:38:53 - mmengine - INFO - Epoch(train) [56][1240/3757] lr: 1.000e-03 eta: 12:22:38 time: 0.987 data_time: 0.011 memory: 5148 grad_norm: 7.4506 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5013 loss: 1.5013 2022/06/28 09:38:58 - mmengine - INFO - Epoch(train) [56][1260/3757] lr: 1.000e-03 eta: 12:22:32 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 6.2541 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3433 loss: 1.3433 2022/06/28 09:39:04 - mmengine - INFO - Epoch(train) [56][1280/3757] lr: 1.000e-03 eta: 12:22:27 time: 0.229 data_time: 0.007 memory: 5148 grad_norm: 6.7354 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1790 loss: 1.1790 2022/06/28 09:39:09 - mmengine - INFO - Epoch(train) [56][1300/3757] lr: 1.000e-03 eta: 12:22:22 time: 1.011 data_time: 0.007 memory: 5148 grad_norm: 7.4041 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3617 loss: 1.3617 2022/06/28 09:39:14 - mmengine - INFO - Epoch(train) [56][1320/3757] lr: 1.000e-03 eta: 12:22:16 time: 0.195 data_time: 0.009 memory: 5148 grad_norm: 6.4894 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5568 loss: 1.5568 2022/06/28 09:39:20 - mmengine - INFO - Epoch(train) [56][1340/3757] lr: 1.000e-03 eta: 12:22:11 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 7.9608 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6206 loss: 1.6206 2022/06/28 09:39:25 - mmengine - INFO - Epoch(train) [56][1360/3757] lr: 1.000e-03 eta: 12:22:06 time: 1.147 data_time: 0.007 memory: 5148 grad_norm: 6.5683 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2027 loss: 1.2027 2022/06/28 09:39:27 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 09:39:30 - mmengine - INFO - Epoch(train) [56][1380/3757] lr: 1.000e-03 eta: 12:22:00 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 7.4045 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5168 loss: 1.5168 2022/06/28 09:39:35 - mmengine - INFO - Epoch(train) [56][1400/3757] lr: 1.000e-03 eta: 12:21:55 time: 0.211 data_time: 0.010 memory: 5148 grad_norm: 6.3734 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2462 loss: 1.2462 2022/06/28 09:39:41 - mmengine - INFO - Epoch(train) [56][1420/3757] lr: 1.000e-03 eta: 12:21:50 time: 1.138 data_time: 0.010 memory: 5148 grad_norm: 6.3125 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1273 loss: 1.1273 2022/06/28 09:39:46 - mmengine - INFO - Epoch(train) [56][1440/3757] lr: 1.000e-03 eta: 12:21:44 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 7.2114 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8532 loss: 1.8532 2022/06/28 09:39:51 - mmengine - INFO - Epoch(train) [56][1460/3757] lr: 1.000e-03 eta: 12:21:39 time: 0.212 data_time: 0.011 memory: 5148 grad_norm: 7.5690 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5603 loss: 1.5603 2022/06/28 09:39:56 - mmengine - INFO - Epoch(train) [56][1480/3757] lr: 1.000e-03 eta: 12:21:33 time: 0.720 data_time: 0.007 memory: 5148 grad_norm: 6.1065 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9715 loss: 0.9715 2022/06/28 09:40:01 - mmengine - INFO - Epoch(train) [56][1500/3757] lr: 1.000e-03 eta: 12:21:27 time: 0.213 data_time: 0.010 memory: 5148 grad_norm: 7.7606 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5601 loss: 1.5601 2022/06/28 09:40:07 - mmengine - INFO - Epoch(train) [56][1520/3757] lr: 1.000e-03 eta: 12:21:22 time: 0.198 data_time: 0.021 memory: 5148 grad_norm: 7.8163 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3711 loss: 1.3711 2022/06/28 09:40:12 - mmengine - INFO - Epoch(train) [56][1540/3757] lr: 1.000e-03 eta: 12:21:17 time: 1.023 data_time: 0.011 memory: 5148 grad_norm: 6.6301 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4464 loss: 1.4464 2022/06/28 09:40:17 - mmengine - INFO - Epoch(train) [56][1560/3757] lr: 1.000e-03 eta: 12:21:12 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 6.0229 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5483 loss: 1.5483 2022/06/28 09:40:22 - mmengine - INFO - Epoch(train) [56][1580/3757] lr: 1.000e-03 eta: 12:21:06 time: 0.219 data_time: 0.013 memory: 5148 grad_norm: 6.2422 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5937 loss: 1.5937 2022/06/28 09:40:28 - mmengine - INFO - Epoch(train) [56][1600/3757] lr: 1.000e-03 eta: 12:21:01 time: 0.288 data_time: 0.006 memory: 5148 grad_norm: 5.1384 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3173 loss: 1.3173 2022/06/28 09:40:33 - mmengine - INFO - Epoch(train) [56][1620/3757] lr: 1.000e-03 eta: 12:20:55 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 7.0579 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4171 loss: 1.4171 2022/06/28 09:40:38 - mmengine - INFO - Epoch(train) [56][1640/3757] lr: 1.000e-03 eta: 12:20:50 time: 0.210 data_time: 0.015 memory: 5148 grad_norm: 7.3092 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5326 loss: 1.5326 2022/06/28 09:40:44 - mmengine - INFO - Epoch(train) [56][1660/3757] lr: 1.000e-03 eta: 12:20:45 time: 0.762 data_time: 0.011 memory: 5148 grad_norm: 6.9811 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7160 loss: 1.7160 2022/06/28 09:40:49 - mmengine - INFO - Epoch(train) [56][1680/3757] lr: 1.000e-03 eta: 12:20:40 time: 0.218 data_time: 0.007 memory: 5148 grad_norm: 7.0148 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2090 loss: 1.2090 2022/06/28 09:40:54 - mmengine - INFO - Epoch(train) [56][1700/3757] lr: 1.000e-03 eta: 12:20:34 time: 0.200 data_time: 0.017 memory: 5148 grad_norm: 8.1368 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5794 loss: 1.5794 2022/06/28 09:41:00 - mmengine - INFO - Epoch(train) [56][1720/3757] lr: 1.000e-03 eta: 12:20:29 time: 0.670 data_time: 0.010 memory: 5148 grad_norm: 6.9270 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4330 loss: 1.4330 2022/06/28 09:41:05 - mmengine - INFO - Epoch(train) [56][1740/3757] lr: 1.000e-03 eta: 12:20:24 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 7.0349 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4572 loss: 1.4572 2022/06/28 09:41:10 - mmengine - INFO - Epoch(train) [56][1760/3757] lr: 1.000e-03 eta: 12:20:18 time: 0.195 data_time: 0.018 memory: 5148 grad_norm: 8.0159 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2036 loss: 1.2036 2022/06/28 09:41:15 - mmengine - INFO - Epoch(train) [56][1780/3757] lr: 1.000e-03 eta: 12:20:13 time: 0.890 data_time: 0.007 memory: 5148 grad_norm: 6.4571 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6660 loss: 1.6660 2022/06/28 09:41:20 - mmengine - INFO - Epoch(train) [56][1800/3757] lr: 1.000e-03 eta: 12:20:07 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 6.7680 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3347 loss: 1.3347 2022/06/28 09:41:26 - mmengine - INFO - Epoch(train) [56][1820/3757] lr: 1.000e-03 eta: 12:20:02 time: 0.228 data_time: 0.013 memory: 5148 grad_norm: 7.8186 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3137 loss: 1.3137 2022/06/28 09:41:30 - mmengine - INFO - Epoch(train) [56][1840/3757] lr: 1.000e-03 eta: 12:19:56 time: 0.207 data_time: 0.011 memory: 5148 grad_norm: 6.4209 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4006 loss: 1.4006 2022/06/28 09:41:36 - mmengine - INFO - Epoch(train) [56][1860/3757] lr: 1.000e-03 eta: 12:19:51 time: 0.220 data_time: 0.009 memory: 5148 grad_norm: 6.6247 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5498 loss: 1.5498 2022/06/28 09:41:42 - mmengine - INFO - Epoch(train) [56][1880/3757] lr: 1.000e-03 eta: 12:19:46 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 8.0198 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3097 loss: 1.3097 2022/06/28 09:41:47 - mmengine - INFO - Epoch(train) [56][1900/3757] lr: 1.000e-03 eta: 12:19:41 time: 0.231 data_time: 0.007 memory: 5148 grad_norm: 6.7965 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3377 loss: 1.3377 2022/06/28 09:41:52 - mmengine - INFO - Epoch(train) [56][1920/3757] lr: 1.000e-03 eta: 12:19:35 time: 0.225 data_time: 0.007 memory: 5148 grad_norm: 6.7664 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3227 loss: 1.3227 2022/06/28 09:41:58 - mmengine - INFO - Epoch(train) [56][1940/3757] lr: 1.000e-03 eta: 12:19:31 time: 0.239 data_time: 0.009 memory: 5148 grad_norm: 5.7408 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0870 loss: 1.0870 2022/06/28 09:42:03 - mmengine - INFO - Epoch(train) [56][1960/3757] lr: 1.000e-03 eta: 12:19:25 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 7.1173 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1663 loss: 1.1663 2022/06/28 09:42:07 - mmengine - INFO - Epoch(train) [56][1980/3757] lr: 1.000e-03 eta: 12:19:19 time: 0.200 data_time: 0.012 memory: 5148 grad_norm: 7.2720 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4625 loss: 1.4625 2022/06/28 09:42:13 - mmengine - INFO - Epoch(train) [56][2000/3757] lr: 1.000e-03 eta: 12:19:13 time: 0.194 data_time: 0.011 memory: 5148 grad_norm: 7.2754 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2282 loss: 1.2282 2022/06/28 09:42:17 - mmengine - INFO - Epoch(train) [56][2020/3757] lr: 1.000e-03 eta: 12:19:08 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 6.0738 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5080 loss: 1.5080 2022/06/28 09:42:23 - mmengine - INFO - Epoch(train) [56][2040/3757] lr: 1.000e-03 eta: 12:19:03 time: 0.204 data_time: 0.018 memory: 5148 grad_norm: 6.4514 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4156 loss: 1.4156 2022/06/28 09:42:28 - mmengine - INFO - Epoch(train) [56][2060/3757] lr: 1.000e-03 eta: 12:18:57 time: 0.201 data_time: 0.014 memory: 5148 grad_norm: 7.5587 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2346 loss: 1.2346 2022/06/28 09:42:33 - mmengine - INFO - Epoch(train) [56][2080/3757] lr: 1.000e-03 eta: 12:18:52 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 6.7510 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3855 loss: 1.3855 2022/06/28 09:42:39 - mmengine - INFO - Epoch(train) [56][2100/3757] lr: 1.000e-03 eta: 12:18:46 time: 0.201 data_time: 0.018 memory: 5148 grad_norm: 7.3912 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1563 loss: 1.1563 2022/06/28 09:42:44 - mmengine - INFO - Epoch(train) [56][2120/3757] lr: 1.000e-03 eta: 12:18:41 time: 0.215 data_time: 0.013 memory: 5148 grad_norm: 7.1703 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3591 loss: 1.3591 2022/06/28 09:42:49 - mmengine - INFO - Epoch(train) [56][2140/3757] lr: 1.000e-03 eta: 12:18:36 time: 0.534 data_time: 0.007 memory: 5148 grad_norm: 7.7394 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3110 loss: 1.3110 2022/06/28 09:42:55 - mmengine - INFO - Epoch(train) [56][2160/3757] lr: 1.000e-03 eta: 12:18:30 time: 0.222 data_time: 0.035 memory: 5148 grad_norm: 7.5961 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3864 loss: 1.3864 2022/06/28 09:43:00 - mmengine - INFO - Epoch(train) [56][2180/3757] lr: 1.000e-03 eta: 12:18:25 time: 0.221 data_time: 0.008 memory: 5148 grad_norm: 6.0217 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3498 loss: 1.3498 2022/06/28 09:43:05 - mmengine - INFO - Epoch(train) [56][2200/3757] lr: 1.000e-03 eta: 12:18:20 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 7.5916 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3206 loss: 1.3206 2022/06/28 09:43:10 - mmengine - INFO - Epoch(train) [56][2220/3757] lr: 1.000e-03 eta: 12:18:14 time: 0.212 data_time: 0.030 memory: 5148 grad_norm: 6.4133 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1385 loss: 1.1385 2022/06/28 09:43:17 - mmengine - INFO - Epoch(train) [56][2240/3757] lr: 1.000e-03 eta: 12:18:10 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 6.4961 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8441 loss: 0.8441 2022/06/28 09:43:21 - mmengine - INFO - Epoch(train) [56][2260/3757] lr: 1.000e-03 eta: 12:18:04 time: 0.218 data_time: 0.007 memory: 5148 grad_norm: 7.0324 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2615 loss: 1.2615 2022/06/28 09:43:26 - mmengine - INFO - Epoch(train) [56][2280/3757] lr: 1.000e-03 eta: 12:17:58 time: 0.221 data_time: 0.021 memory: 5148 grad_norm: 7.4965 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4109 loss: 1.4109 2022/06/28 09:43:32 - mmengine - INFO - Epoch(train) [56][2300/3757] lr: 1.000e-03 eta: 12:17:53 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 8.2410 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5058 loss: 1.5058 2022/06/28 09:43:37 - mmengine - INFO - Epoch(train) [56][2320/3757] lr: 1.000e-03 eta: 12:17:48 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 7.2048 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2333 loss: 1.2333 2022/06/28 09:43:42 - mmengine - INFO - Epoch(train) [56][2340/3757] lr: 1.000e-03 eta: 12:17:42 time: 0.210 data_time: 0.016 memory: 5148 grad_norm: 8.5121 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7210 loss: 1.7210 2022/06/28 09:43:47 - mmengine - INFO - Epoch(train) [56][2360/3757] lr: 1.000e-03 eta: 12:17:37 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 7.2559 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3900 loss: 1.3900 2022/06/28 09:43:48 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 09:43:52 - mmengine - INFO - Epoch(train) [56][2380/3757] lr: 1.000e-03 eta: 12:17:31 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 6.5395 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4462 loss: 1.4462 2022/06/28 09:43:58 - mmengine - INFO - Epoch(train) [56][2400/3757] lr: 1.000e-03 eta: 12:17:26 time: 0.212 data_time: 0.015 memory: 5148 grad_norm: 6.8987 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5711 loss: 1.5711 2022/06/28 09:44:03 - mmengine - INFO - Epoch(train) [56][2420/3757] lr: 1.000e-03 eta: 12:17:21 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 6.5355 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3906 loss: 1.3906 2022/06/28 09:44:08 - mmengine - INFO - Epoch(train) [56][2440/3757] lr: 1.000e-03 eta: 12:17:15 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 7.3995 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9603 loss: 0.9603 2022/06/28 09:44:14 - mmengine - INFO - Epoch(train) [56][2460/3757] lr: 1.000e-03 eta: 12:17:10 time: 0.665 data_time: 0.010 memory: 5148 grad_norm: 7.8084 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3746 loss: 1.3746 2022/06/28 09:44:18 - mmengine - INFO - Epoch(train) [56][2480/3757] lr: 1.000e-03 eta: 12:17:05 time: 0.205 data_time: 0.019 memory: 5148 grad_norm: 7.8092 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6103 loss: 1.6103 2022/06/28 09:44:24 - mmengine - INFO - Epoch(train) [56][2500/3757] lr: 1.000e-03 eta: 12:16:59 time: 0.262 data_time: 0.014 memory: 5148 grad_norm: 6.9925 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7060 loss: 1.7060 2022/06/28 09:44:29 - mmengine - INFO - Epoch(train) [56][2520/3757] lr: 1.000e-03 eta: 12:16:54 time: 0.405 data_time: 0.010 memory: 5148 grad_norm: 6.7342 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3968 loss: 1.3968 2022/06/28 09:44:34 - mmengine - INFO - Epoch(train) [56][2540/3757] lr: 1.000e-03 eta: 12:16:49 time: 0.200 data_time: 0.009 memory: 5148 grad_norm: 6.9035 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2121 loss: 1.2121 2022/06/28 09:44:40 - mmengine - INFO - Epoch(train) [56][2560/3757] lr: 1.000e-03 eta: 12:16:43 time: 0.212 data_time: 0.008 memory: 5148 grad_norm: 6.5701 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4312 loss: 1.4312 2022/06/28 09:44:45 - mmengine - INFO - Epoch(train) [56][2580/3757] lr: 1.000e-03 eta: 12:16:38 time: 0.229 data_time: 0.007 memory: 5148 grad_norm: 5.7570 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0525 loss: 1.0525 2022/06/28 09:44:50 - mmengine - INFO - Epoch(train) [56][2600/3757] lr: 1.000e-03 eta: 12:16:33 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 6.1276 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1950 loss: 1.1950 2022/06/28 09:44:56 - mmengine - INFO - Epoch(train) [56][2620/3757] lr: 1.000e-03 eta: 12:16:27 time: 0.241 data_time: 0.013 memory: 5148 grad_norm: 7.8132 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4519 loss: 1.4519 2022/06/28 09:45:01 - mmengine - INFO - Epoch(train) [56][2640/3757] lr: 1.000e-03 eta: 12:16:22 time: 0.221 data_time: 0.008 memory: 5148 grad_norm: 8.9825 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3462 loss: 1.3462 2022/06/28 09:45:06 - mmengine - INFO - Epoch(train) [56][2660/3757] lr: 1.000e-03 eta: 12:16:17 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 6.8824 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8021 loss: 1.8021 2022/06/28 09:45:12 - mmengine - INFO - Epoch(train) [56][2680/3757] lr: 1.000e-03 eta: 12:16:12 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 6.1090 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2571 loss: 1.2571 2022/06/28 09:45:18 - mmengine - INFO - Epoch(train) [56][2700/3757] lr: 1.000e-03 eta: 12:16:07 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 6.7466 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3119 loss: 1.3119 2022/06/28 09:45:22 - mmengine - INFO - Epoch(train) [56][2720/3757] lr: 1.000e-03 eta: 12:16:01 time: 0.232 data_time: 0.007 memory: 5148 grad_norm: 6.3805 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5625 loss: 1.5625 2022/06/28 09:45:27 - mmengine - INFO - Epoch(train) [56][2740/3757] lr: 1.000e-03 eta: 12:15:55 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 7.7848 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1300 loss: 1.1300 2022/06/28 09:45:34 - mmengine - INFO - Epoch(train) [56][2760/3757] lr: 1.000e-03 eta: 12:15:51 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 7.0739 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6434 loss: 1.6434 2022/06/28 09:45:39 - mmengine - INFO - Epoch(train) [56][2780/3757] lr: 1.000e-03 eta: 12:15:45 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 5.5899 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4757 loss: 1.4757 2022/06/28 09:45:43 - mmengine - INFO - Epoch(train) [56][2800/3757] lr: 1.000e-03 eta: 12:15:39 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 6.9218 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9153 loss: 0.9153 2022/06/28 09:45:49 - mmengine - INFO - Epoch(train) [56][2820/3757] lr: 1.000e-03 eta: 12:15:34 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 7.1199 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3316 loss: 1.3316 2022/06/28 09:45:54 - mmengine - INFO - Epoch(train) [56][2840/3757] lr: 1.000e-03 eta: 12:15:29 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 6.7433 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4630 loss: 1.4630 2022/06/28 09:45:59 - mmengine - INFO - Epoch(train) [56][2860/3757] lr: 1.000e-03 eta: 12:15:23 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.1875 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3739 loss: 1.3739 2022/06/28 09:46:04 - mmengine - INFO - Epoch(train) [56][2880/3757] lr: 1.000e-03 eta: 12:15:18 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 7.3130 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5279 loss: 1.5279 2022/06/28 09:46:10 - mmengine - INFO - Epoch(train) [56][2900/3757] lr: 1.000e-03 eta: 12:15:12 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 7.5338 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2146 loss: 1.2146 2022/06/28 09:46:15 - mmengine - INFO - Epoch(train) [56][2920/3757] lr: 1.000e-03 eta: 12:15:07 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 7.7317 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3411 loss: 1.3411 2022/06/28 09:46:21 - mmengine - INFO - Epoch(train) [56][2940/3757] lr: 1.000e-03 eta: 12:15:02 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 7.2495 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2915 loss: 1.2915 2022/06/28 09:46:26 - mmengine - INFO - Epoch(train) [56][2960/3757] lr: 1.000e-03 eta: 12:14:57 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 6.9570 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5430 loss: 1.5430 2022/06/28 09:46:31 - mmengine - INFO - Epoch(train) [56][2980/3757] lr: 1.000e-03 eta: 12:14:52 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 7.5230 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8016 loss: 1.8016 2022/06/28 09:46:37 - mmengine - INFO - Epoch(train) [56][3000/3757] lr: 1.000e-03 eta: 12:14:46 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 7.9538 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2877 loss: 1.2877 2022/06/28 09:46:42 - mmengine - INFO - Epoch(train) [56][3020/3757] lr: 1.000e-03 eta: 12:14:41 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 6.3925 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3517 loss: 1.3517 2022/06/28 09:46:47 - mmengine - INFO - Epoch(train) [56][3040/3757] lr: 1.000e-03 eta: 12:14:36 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 6.7052 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6428 loss: 1.6428 2022/06/28 09:46:53 - mmengine - INFO - Epoch(train) [56][3060/3757] lr: 1.000e-03 eta: 12:14:31 time: 0.215 data_time: 0.011 memory: 5148 grad_norm: 7.6275 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4627 loss: 1.4627 2022/06/28 09:46:58 - mmengine - INFO - Epoch(train) [56][3080/3757] lr: 1.000e-03 eta: 12:14:25 time: 0.204 data_time: 0.009 memory: 5148 grad_norm: 7.9968 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5507 loss: 1.5507 2022/06/28 09:47:03 - mmengine - INFO - Epoch(train) [56][3100/3757] lr: 1.000e-03 eta: 12:14:19 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 7.1022 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3804 loss: 1.3804 2022/06/28 09:47:08 - mmengine - INFO - Epoch(train) [56][3120/3757] lr: 1.000e-03 eta: 12:14:14 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 6.9477 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3279 loss: 1.3279 2022/06/28 09:47:13 - mmengine - INFO - Epoch(train) [56][3140/3757] lr: 1.000e-03 eta: 12:14:08 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 6.2927 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3230 loss: 1.3230 2022/06/28 09:47:19 - mmengine - INFO - Epoch(train) [56][3160/3757] lr: 1.000e-03 eta: 12:14:04 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 7.2121 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3840 loss: 1.3840 2022/06/28 09:47:25 - mmengine - INFO - Epoch(train) [56][3180/3757] lr: 1.000e-03 eta: 12:13:58 time: 0.219 data_time: 0.006 memory: 5148 grad_norm: 6.3774 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2479 loss: 1.2479 2022/06/28 09:47:30 - mmengine - INFO - Epoch(train) [56][3200/3757] lr: 1.000e-03 eta: 12:13:53 time: 0.206 data_time: 0.006 memory: 5148 grad_norm: 7.6542 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4970 loss: 1.4970 2022/06/28 09:47:35 - mmengine - INFO - Epoch(train) [56][3220/3757] lr: 1.000e-03 eta: 12:13:48 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 7.6910 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5530 loss: 1.5530 2022/06/28 09:47:41 - mmengine - INFO - Epoch(train) [56][3240/3757] lr: 1.000e-03 eta: 12:13:43 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 7.5835 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2481 loss: 1.2481 2022/06/28 09:47:45 - mmengine - INFO - Epoch(train) [56][3260/3757] lr: 1.000e-03 eta: 12:13:37 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 6.8451 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0664 loss: 1.0664 2022/06/28 09:47:51 - mmengine - INFO - Epoch(train) [56][3280/3757] lr: 1.000e-03 eta: 12:13:32 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 6.9161 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3623 loss: 1.3623 2022/06/28 09:47:57 - mmengine - INFO - Epoch(train) [56][3300/3757] lr: 1.000e-03 eta: 12:13:27 time: 0.196 data_time: 0.009 memory: 5148 grad_norm: 6.7097 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5244 loss: 1.5244 2022/06/28 09:48:02 - mmengine - INFO - Epoch(train) [56][3320/3757] lr: 1.000e-03 eta: 12:13:21 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 7.8071 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2239 loss: 1.2239 2022/06/28 09:48:07 - mmengine - INFO - Epoch(train) [56][3340/3757] lr: 1.000e-03 eta: 12:13:16 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 7.5360 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.1407 loss: 1.1407 2022/06/28 09:48:13 - mmengine - INFO - Epoch(train) [56][3360/3757] lr: 1.000e-03 eta: 12:13:11 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 7.7090 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3395 loss: 1.3395 2022/06/28 09:48:15 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 09:48:18 - mmengine - INFO - Epoch(train) [56][3380/3757] lr: 1.000e-03 eta: 12:13:06 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 7.0017 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6882 loss: 1.6882 2022/06/28 09:48:23 - mmengine - INFO - Epoch(train) [56][3400/3757] lr: 1.000e-03 eta: 12:13:00 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 6.0252 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3500 loss: 1.3500 2022/06/28 09:48:28 - mmengine - INFO - Epoch(train) [56][3420/3757] lr: 1.000e-03 eta: 12:12:55 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 6.3044 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1316 loss: 1.1316 2022/06/28 09:48:34 - mmengine - INFO - Epoch(train) [56][3440/3757] lr: 1.000e-03 eta: 12:12:50 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 6.6015 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4970 loss: 1.4970 2022/06/28 09:48:39 - mmengine - INFO - Epoch(train) [56][3460/3757] lr: 1.000e-03 eta: 12:12:44 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 7.9437 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2747 loss: 1.2747 2022/06/28 09:48:45 - mmengine - INFO - Epoch(train) [56][3480/3757] lr: 1.000e-03 eta: 12:12:39 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 6.8645 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2993 loss: 1.2993 2022/06/28 09:48:50 - mmengine - INFO - Epoch(train) [56][3500/3757] lr: 1.000e-03 eta: 12:12:34 time: 0.204 data_time: 0.021 memory: 5148 grad_norm: 7.0767 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3055 loss: 1.3055 2022/06/28 09:48:55 - mmengine - INFO - Epoch(train) [56][3520/3757] lr: 1.000e-03 eta: 12:12:28 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 8.0029 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7096 loss: 1.7096 2022/06/28 09:49:01 - mmengine - INFO - Epoch(train) [56][3540/3757] lr: 1.000e-03 eta: 12:12:23 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 6.7269 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3506 loss: 1.3506 2022/06/28 09:49:06 - mmengine - INFO - Epoch(train) [56][3560/3757] lr: 1.000e-03 eta: 12:12:18 time: 0.209 data_time: 0.024 memory: 5148 grad_norm: 6.5284 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2743 loss: 1.2743 2022/06/28 09:49:11 - mmengine - INFO - Epoch(train) [56][3580/3757] lr: 1.000e-03 eta: 12:12:12 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 6.4334 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7428 loss: 1.7428 2022/06/28 09:49:16 - mmengine - INFO - Epoch(train) [56][3600/3757] lr: 1.000e-03 eta: 12:12:07 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 7.0055 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3489 loss: 1.3489 2022/06/28 09:49:22 - mmengine - INFO - Epoch(train) [56][3620/3757] lr: 1.000e-03 eta: 12:12:02 time: 0.221 data_time: 0.007 memory: 5148 grad_norm: 7.3185 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2168 loss: 1.2168 2022/06/28 09:49:27 - mmengine - INFO - Epoch(train) [56][3640/3757] lr: 1.000e-03 eta: 12:11:56 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 7.0713 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4646 loss: 1.4646 2022/06/28 09:49:32 - mmengine - INFO - Epoch(train) [56][3660/3757] lr: 1.000e-03 eta: 12:11:51 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 6.6357 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6182 loss: 1.6182 2022/06/28 09:49:38 - mmengine - INFO - Epoch(train) [56][3680/3757] lr: 1.000e-03 eta: 12:11:46 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 7.1210 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4552 loss: 1.4552 2022/06/28 09:49:42 - mmengine - INFO - Epoch(train) [56][3700/3757] lr: 1.000e-03 eta: 12:11:40 time: 0.192 data_time: 0.010 memory: 5148 grad_norm: 7.4256 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1559 loss: 1.1559 2022/06/28 09:49:48 - mmengine - INFO - Epoch(train) [56][3720/3757] lr: 1.000e-03 eta: 12:11:35 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 7.8854 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6424 loss: 1.6424 2022/06/28 09:49:53 - mmengine - INFO - Epoch(train) [56][3740/3757] lr: 1.000e-03 eta: 12:11:30 time: 0.211 data_time: 0.006 memory: 5148 grad_norm: 7.4298 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2971 loss: 1.2971 2022/06/28 09:49:57 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 09:50:04 - mmengine - INFO - Epoch(val) [56][20/310] eta: 0:01:10 time: 0.272 data_time: 0.191 memory: 5148 2022/06/28 09:50:08 - mmengine - INFO - Epoch(val) [56][40/310] eta: 0:00:59 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 09:50:14 - mmengine - INFO - Epoch(val) [56][60/310] eta: 0:00:57 time: 0.186 data_time: 0.112 memory: 1367 2022/06/28 09:50:19 - mmengine - INFO - Epoch(val) [56][80/310] eta: 0:00:50 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 09:50:25 - mmengine - INFO - Epoch(val) [56][100/310] eta: 0:00:49 time: 0.190 data_time: 0.113 memory: 1367 2022/06/28 09:50:29 - mmengine - INFO - Epoch(val) [56][120/310] eta: 0:00:44 time: 0.085 data_time: 0.008 memory: 1367 2022/06/28 09:50:36 - mmengine - INFO - Epoch(val) [56][140/310] eta: 0:00:50 time: 0.678 data_time: 0.606 memory: 1367 2022/06/28 09:50:40 - mmengine - INFO - Epoch(val) [56][160/310] eta: 0:00:33 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 09:50:46 - mmengine - INFO - Epoch(val) [56][180/310] eta: 0:00:49 time: 1.008 data_time: 0.936 memory: 1367 2022/06/28 09:50:51 - mmengine - INFO - Epoch(val) [56][200/310] eta: 0:00:25 time: 0.082 data_time: 0.006 memory: 1367 2022/06/28 09:50:57 - mmengine - INFO - Epoch(val) [56][220/310] eta: 0:00:33 time: 0.091 data_time: 0.005 memory: 1367 2022/06/28 09:51:01 - mmengine - INFO - Epoch(val) [56][240/310] eta: 0:00:15 time: 0.083 data_time: 0.006 memory: 1367 2022/06/28 09:51:08 - mmengine - INFO - Epoch(val) [56][260/310] eta: 0:00:18 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 09:51:12 - mmengine - INFO - Epoch(val) [56][280/310] eta: 0:00:06 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 09:51:18 - mmengine - INFO - Epoch(val) [56][300/310] eta: 0:00:03 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 09:51:21 - mmengine - INFO - Epoch(val) [56][310/310] acc/top1: 0.6464 acc/top5: 0.8556 acc/mean1: 0.6462 2022/06/28 09:51:30 - mmengine - INFO - Epoch(train) [57][20/3757] lr: 1.000e-03 eta: 12:11:21 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 6.6402 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3197 loss: 1.3197 2022/06/28 09:51:36 - mmengine - INFO - Epoch(train) [57][40/3757] lr: 1.000e-03 eta: 12:11:16 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 7.3218 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6341 loss: 1.6341 2022/06/28 09:51:41 - mmengine - INFO - Epoch(train) [57][60/3757] lr: 1.000e-03 eta: 12:11:10 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 6.8158 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1126 loss: 1.1126 2022/06/28 09:51:46 - mmengine - INFO - Epoch(train) [57][80/3757] lr: 1.000e-03 eta: 12:11:05 time: 0.217 data_time: 0.011 memory: 5148 grad_norm: 8.5616 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4479 loss: 1.4479 2022/06/28 09:51:52 - mmengine - INFO - Epoch(train) [57][100/3757] lr: 1.000e-03 eta: 12:11:00 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 7.5184 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3477 loss: 1.3477 2022/06/28 09:51:57 - mmengine - INFO - Epoch(train) [57][120/3757] lr: 1.000e-03 eta: 12:10:54 time: 0.188 data_time: 0.007 memory: 5148 grad_norm: 5.9092 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5152 loss: 1.5152 2022/06/28 09:52:02 - mmengine - INFO - Epoch(train) [57][140/3757] lr: 1.000e-03 eta: 12:10:49 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.2390 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7320 loss: 1.7320 2022/06/28 09:52:08 - mmengine - INFO - Epoch(train) [57][160/3757] lr: 1.000e-03 eta: 12:10:44 time: 0.191 data_time: 0.008 memory: 5148 grad_norm: 8.1755 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2765 loss: 1.2765 2022/06/28 09:52:13 - mmengine - INFO - Epoch(train) [57][180/3757] lr: 1.000e-03 eta: 12:10:38 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 7.7491 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2962 loss: 1.2962 2022/06/28 09:52:19 - mmengine - INFO - Epoch(train) [57][200/3757] lr: 1.000e-03 eta: 12:10:33 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 6.4362 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2521 loss: 1.2521 2022/06/28 09:52:24 - mmengine - INFO - Epoch(train) [57][220/3757] lr: 1.000e-03 eta: 12:10:28 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 6.3943 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1500 loss: 1.1500 2022/06/28 09:52:29 - mmengine - INFO - Epoch(train) [57][240/3757] lr: 1.000e-03 eta: 12:10:23 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 6.2468 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4245 loss: 1.4245 2022/06/28 09:52:34 - mmengine - INFO - Epoch(train) [57][260/3757] lr: 1.000e-03 eta: 12:10:17 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 6.6538 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0075 loss: 1.0075 2022/06/28 09:52:39 - mmengine - INFO - Epoch(train) [57][280/3757] lr: 1.000e-03 eta: 12:10:12 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 6.5220 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4167 loss: 1.4167 2022/06/28 09:52:44 - mmengine - INFO - Epoch(train) [57][300/3757] lr: 1.000e-03 eta: 12:10:06 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 5.8496 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4602 loss: 1.4602 2022/06/28 09:52:50 - mmengine - INFO - Epoch(train) [57][320/3757] lr: 1.000e-03 eta: 12:10:01 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 6.4720 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4554 loss: 1.4554 2022/06/28 09:52:55 - mmengine - INFO - Epoch(train) [57][340/3757] lr: 1.000e-03 eta: 12:09:56 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 7.0705 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6651 loss: 1.6651 2022/06/28 09:53:00 - mmengine - INFO - Epoch(train) [57][360/3757] lr: 1.000e-03 eta: 12:09:50 time: 0.194 data_time: 0.011 memory: 5148 grad_norm: 6.6319 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1637 loss: 1.1637 2022/06/28 09:53:06 - mmengine - INFO - Epoch(train) [57][380/3757] lr: 1.000e-03 eta: 12:09:45 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 6.7368 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5618 loss: 1.5618 2022/06/28 09:53:12 - mmengine - INFO - Epoch(train) [57][400/3757] lr: 1.000e-03 eta: 12:09:40 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 6.1401 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6555 loss: 1.6555 2022/06/28 09:53:16 - mmengine - INFO - Epoch(train) [57][420/3757] lr: 1.000e-03 eta: 12:09:34 time: 0.490 data_time: 0.007 memory: 5148 grad_norm: 7.9558 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4816 loss: 1.4816 2022/06/28 09:53:22 - mmengine - INFO - Epoch(train) [57][440/3757] lr: 1.000e-03 eta: 12:09:29 time: 0.227 data_time: 0.008 memory: 5148 grad_norm: 7.8486 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2944 loss: 1.2944 2022/06/28 09:53:28 - mmengine - INFO - Epoch(train) [57][460/3757] lr: 1.000e-03 eta: 12:09:24 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 6.9471 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5173 loss: 1.5173 2022/06/28 09:53:32 - mmengine - INFO - Epoch(train) [57][480/3757] lr: 1.000e-03 eta: 12:09:18 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 6.9938 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1552 loss: 1.1552 2022/06/28 09:53:38 - mmengine - INFO - Epoch(train) [57][500/3757] lr: 1.000e-03 eta: 12:09:14 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 5.9646 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3504 loss: 1.3504 2022/06/28 09:53:44 - mmengine - INFO - Epoch(train) [57][520/3757] lr: 1.000e-03 eta: 12:09:08 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 8.5850 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6974 loss: 1.6974 2022/06/28 09:53:49 - mmengine - INFO - Epoch(train) [57][540/3757] lr: 1.000e-03 eta: 12:09:03 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 7.7666 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4103 loss: 1.4103 2022/06/28 09:53:54 - mmengine - INFO - Epoch(train) [57][560/3757] lr: 1.000e-03 eta: 12:08:58 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 7.5081 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0380 loss: 1.0380 2022/06/28 09:54:00 - mmengine - INFO - Epoch(train) [57][580/3757] lr: 1.000e-03 eta: 12:08:52 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 7.4617 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9641 loss: 0.9641 2022/06/28 09:54:04 - mmengine - INFO - Epoch(train) [57][600/3757] lr: 1.000e-03 eta: 12:08:46 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 8.0101 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5188 loss: 1.5188 2022/06/28 09:54:06 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 09:54:09 - mmengine - INFO - Epoch(train) [57][620/3757] lr: 1.000e-03 eta: 12:08:41 time: 0.202 data_time: 0.013 memory: 5148 grad_norm: 7.4716 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3655 loss: 1.3655 2022/06/28 09:54:15 - mmengine - INFO - Epoch(train) [57][640/3757] lr: 1.000e-03 eta: 12:08:36 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 6.6531 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5040 loss: 1.5040 2022/06/28 09:54:20 - mmengine - INFO - Epoch(train) [57][660/3757] lr: 1.000e-03 eta: 12:08:30 time: 0.208 data_time: 0.006 memory: 5148 grad_norm: 6.7511 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5010 loss: 1.5010 2022/06/28 09:54:25 - mmengine - INFO - Epoch(train) [57][680/3757] lr: 1.000e-03 eta: 12:08:25 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 6.6347 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2719 loss: 1.2719 2022/06/28 09:54:30 - mmengine - INFO - Epoch(train) [57][700/3757] lr: 1.000e-03 eta: 12:08:19 time: 0.209 data_time: 0.014 memory: 5148 grad_norm: 8.1885 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4870 loss: 1.4870 2022/06/28 09:54:35 - mmengine - INFO - Epoch(train) [57][720/3757] lr: 1.000e-03 eta: 12:08:14 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 7.5528 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2728 loss: 1.2728 2022/06/28 09:54:41 - mmengine - INFO - Epoch(train) [57][740/3757] lr: 1.000e-03 eta: 12:08:09 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.3771 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3503 loss: 1.3503 2022/06/28 09:54:46 - mmengine - INFO - Epoch(train) [57][760/3757] lr: 1.000e-03 eta: 12:08:03 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 8.3080 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3117 loss: 1.3117 2022/06/28 09:54:51 - mmengine - INFO - Epoch(train) [57][780/3757] lr: 1.000e-03 eta: 12:07:58 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 6.0144 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2991 loss: 1.2991 2022/06/28 09:54:56 - mmengine - INFO - Epoch(train) [57][800/3757] lr: 1.000e-03 eta: 12:07:52 time: 0.200 data_time: 0.012 memory: 5148 grad_norm: 6.7523 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0347 loss: 2.0347 2022/06/28 09:55:01 - mmengine - INFO - Epoch(train) [57][820/3757] lr: 1.000e-03 eta: 12:07:47 time: 0.201 data_time: 0.012 memory: 5148 grad_norm: 6.2611 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3103 loss: 1.3103 2022/06/28 09:55:07 - mmengine - INFO - Epoch(train) [57][840/3757] lr: 1.000e-03 eta: 12:07:42 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 7.2059 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3371 loss: 1.3371 2022/06/28 09:55:12 - mmengine - INFO - Epoch(train) [57][860/3757] lr: 1.000e-03 eta: 12:07:36 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 7.3165 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2717 loss: 1.2717 2022/06/28 09:55:17 - mmengine - INFO - Epoch(train) [57][880/3757] lr: 1.000e-03 eta: 12:07:31 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 7.0399 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5249 loss: 1.5249 2022/06/28 09:55:23 - mmengine - INFO - Epoch(train) [57][900/3757] lr: 1.000e-03 eta: 12:07:26 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 6.9904 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7026 loss: 1.7026 2022/06/28 09:55:28 - mmengine - INFO - Epoch(train) [57][920/3757] lr: 1.000e-03 eta: 12:07:20 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 5.9948 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9379 loss: 0.9379 2022/06/28 09:55:34 - mmengine - INFO - Epoch(train) [57][940/3757] lr: 1.000e-03 eta: 12:07:15 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 7.3661 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7529 loss: 1.7529 2022/06/28 09:55:40 - mmengine - INFO - Epoch(train) [57][960/3757] lr: 1.000e-03 eta: 12:07:11 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 7.3579 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3693 loss: 1.3693 2022/06/28 09:55:44 - mmengine - INFO - Epoch(train) [57][980/3757] lr: 1.000e-03 eta: 12:07:05 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 7.6229 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3803 loss: 1.3803 2022/06/28 09:55:50 - mmengine - INFO - Epoch(train) [57][1000/3757] lr: 1.000e-03 eta: 12:07:00 time: 0.215 data_time: 0.008 memory: 5148 grad_norm: 7.4542 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5880 loss: 1.5880 2022/06/28 09:55:55 - mmengine - INFO - Epoch(train) [57][1020/3757] lr: 1.000e-03 eta: 12:06:54 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 8.2862 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2093 loss: 1.2093 2022/06/28 09:56:01 - mmengine - INFO - Epoch(train) [57][1040/3757] lr: 1.000e-03 eta: 12:06:50 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.2344 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1440 loss: 1.1440 2022/06/28 09:56:06 - mmengine - INFO - Epoch(train) [57][1060/3757] lr: 1.000e-03 eta: 12:06:44 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.6083 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3244 loss: 1.3244 2022/06/28 09:56:12 - mmengine - INFO - Epoch(train) [57][1080/3757] lr: 1.000e-03 eta: 12:06:39 time: 0.209 data_time: 0.010 memory: 5148 grad_norm: 8.1243 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7507 loss: 1.7507 2022/06/28 09:56:17 - mmengine - INFO - Epoch(train) [57][1100/3757] lr: 1.000e-03 eta: 12:06:33 time: 0.202 data_time: 0.012 memory: 5148 grad_norm: 7.1589 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6989 loss: 1.6989 2022/06/28 09:56:22 - mmengine - INFO - Epoch(train) [57][1120/3757] lr: 1.000e-03 eta: 12:06:28 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 5.8869 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4618 loss: 1.4618 2022/06/28 09:56:27 - mmengine - INFO - Epoch(train) [57][1140/3757] lr: 1.000e-03 eta: 12:06:22 time: 0.295 data_time: 0.010 memory: 5148 grad_norm: 6.9819 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5505 loss: 1.5505 2022/06/28 09:56:33 - mmengine - INFO - Epoch(train) [57][1160/3757] lr: 1.000e-03 eta: 12:06:17 time: 0.245 data_time: 0.013 memory: 5148 grad_norm: 7.0134 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2496 loss: 1.2496 2022/06/28 09:56:38 - mmengine - INFO - Epoch(train) [57][1180/3757] lr: 1.000e-03 eta: 12:06:12 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 5.6904 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2507 loss: 1.2507 2022/06/28 09:56:43 - mmengine - INFO - Epoch(train) [57][1200/3757] lr: 1.000e-03 eta: 12:06:07 time: 0.222 data_time: 0.008 memory: 5148 grad_norm: 6.7323 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7393 loss: 1.7393 2022/06/28 09:56:48 - mmengine - INFO - Epoch(train) [57][1220/3757] lr: 1.000e-03 eta: 12:06:01 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 7.8486 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8265 loss: 1.8265 2022/06/28 09:56:54 - mmengine - INFO - Epoch(train) [57][1240/3757] lr: 1.000e-03 eta: 12:05:56 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.4724 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0783 loss: 1.0783 2022/06/28 09:56:59 - mmengine - INFO - Epoch(train) [57][1260/3757] lr: 1.000e-03 eta: 12:05:51 time: 0.229 data_time: 0.012 memory: 5148 grad_norm: 7.8262 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1223 loss: 1.1223 2022/06/28 09:57:05 - mmengine - INFO - Epoch(train) [57][1280/3757] lr: 1.000e-03 eta: 12:05:45 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 7.5092 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.5935 loss: 1.5935 2022/06/28 09:57:10 - mmengine - INFO - Epoch(train) [57][1300/3757] lr: 1.000e-03 eta: 12:05:40 time: 0.195 data_time: 0.006 memory: 5148 grad_norm: 5.7199 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6288 loss: 1.6288 2022/06/28 09:57:15 - mmengine - INFO - Epoch(train) [57][1320/3757] lr: 1.000e-03 eta: 12:05:35 time: 0.840 data_time: 0.014 memory: 5148 grad_norm: 6.7170 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5282 loss: 1.5282 2022/06/28 09:57:20 - mmengine - INFO - Epoch(train) [57][1340/3757] lr: 1.000e-03 eta: 12:05:29 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 7.7415 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6363 loss: 1.6363 2022/06/28 09:57:25 - mmengine - INFO - Epoch(train) [57][1360/3757] lr: 1.000e-03 eta: 12:05:24 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.7073 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7611 loss: 1.7611 2022/06/28 09:57:31 - mmengine - INFO - Epoch(train) [57][1380/3757] lr: 1.000e-03 eta: 12:05:19 time: 1.109 data_time: 0.011 memory: 5148 grad_norm: 8.0525 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3151 loss: 1.3151 2022/06/28 09:57:36 - mmengine - INFO - Epoch(train) [57][1400/3757] lr: 1.000e-03 eta: 12:05:13 time: 0.197 data_time: 0.012 memory: 5148 grad_norm: 8.7009 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5125 loss: 1.5125 2022/06/28 09:57:42 - mmengine - INFO - Epoch(train) [57][1420/3757] lr: 1.000e-03 eta: 12:05:08 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.6440 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2985 loss: 1.2985 2022/06/28 09:57:47 - mmengine - INFO - Epoch(train) [57][1440/3757] lr: 1.000e-03 eta: 12:05:03 time: 0.872 data_time: 0.009 memory: 5148 grad_norm: 6.8173 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2375 loss: 1.2375 2022/06/28 09:57:51 - mmengine - INFO - Epoch(train) [57][1460/3757] lr: 1.000e-03 eta: 12:04:57 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 7.3824 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.4206 loss: 1.4206 2022/06/28 09:57:57 - mmengine - INFO - Epoch(train) [57][1480/3757] lr: 1.000e-03 eta: 12:04:52 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 6.7113 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4095 loss: 1.4095 2022/06/28 09:58:02 - mmengine - INFO - Epoch(train) [57][1500/3757] lr: 1.000e-03 eta: 12:04:46 time: 0.293 data_time: 0.008 memory: 5148 grad_norm: 5.9322 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9791 loss: 0.9791 2022/06/28 09:58:08 - mmengine - INFO - Epoch(train) [57][1520/3757] lr: 1.000e-03 eta: 12:04:41 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 5.7349 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4007 loss: 1.4007 2022/06/28 09:58:13 - mmengine - INFO - Epoch(train) [57][1540/3757] lr: 1.000e-03 eta: 12:04:36 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 7.6239 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9116 loss: 1.9116 2022/06/28 09:58:18 - mmengine - INFO - Epoch(train) [57][1560/3757] lr: 1.000e-03 eta: 12:04:30 time: 0.210 data_time: 0.011 memory: 5148 grad_norm: 8.0625 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.6568 loss: 0.6568 2022/06/28 09:58:23 - mmengine - INFO - Epoch(train) [57][1580/3757] lr: 1.000e-03 eta: 12:04:25 time: 0.214 data_time: 0.006 memory: 5148 grad_norm: 8.5963 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3140 loss: 1.3140 2022/06/28 09:58:29 - mmengine - INFO - Epoch(train) [57][1600/3757] lr: 1.000e-03 eta: 12:04:20 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 6.9784 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6011 loss: 1.6011 2022/06/28 09:58:31 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 09:58:34 - mmengine - INFO - Epoch(train) [57][1620/3757] lr: 1.000e-03 eta: 12:04:14 time: 0.196 data_time: 0.014 memory: 5148 grad_norm: 7.6553 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6960 loss: 1.6960 2022/06/28 09:58:40 - mmengine - INFO - Epoch(train) [57][1640/3757] lr: 1.000e-03 eta: 12:04:09 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 6.4864 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5480 loss: 1.5480 2022/06/28 09:58:45 - mmengine - INFO - Epoch(train) [57][1660/3757] lr: 1.000e-03 eta: 12:04:04 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.6431 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2456 loss: 1.2456 2022/06/28 09:58:50 - mmengine - INFO - Epoch(train) [57][1680/3757] lr: 1.000e-03 eta: 12:03:58 time: 0.223 data_time: 0.007 memory: 5148 grad_norm: 6.8011 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5049 loss: 1.5049 2022/06/28 09:58:55 - mmengine - INFO - Epoch(train) [57][1700/3757] lr: 1.000e-03 eta: 12:03:53 time: 0.196 data_time: 0.012 memory: 5148 grad_norm: 8.1679 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4576 loss: 1.4576 2022/06/28 09:59:00 - mmengine - INFO - Epoch(train) [57][1720/3757] lr: 1.000e-03 eta: 12:03:47 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 8.0024 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3690 loss: 1.3690 2022/06/28 09:59:06 - mmengine - INFO - Epoch(train) [57][1740/3757] lr: 1.000e-03 eta: 12:03:42 time: 0.213 data_time: 0.008 memory: 5148 grad_norm: 7.3194 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9103 loss: 0.9103 2022/06/28 09:59:11 - mmengine - INFO - Epoch(train) [57][1760/3757] lr: 1.000e-03 eta: 12:03:37 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 6.8648 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7212 loss: 1.7212 2022/06/28 09:59:17 - mmengine - INFO - Epoch(train) [57][1780/3757] lr: 1.000e-03 eta: 12:03:32 time: 0.260 data_time: 0.007 memory: 5148 grad_norm: 7.5816 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9443 loss: 0.9443 2022/06/28 09:59:22 - mmengine - INFO - Epoch(train) [57][1800/3757] lr: 1.000e-03 eta: 12:03:26 time: 0.193 data_time: 0.008 memory: 5148 grad_norm: 7.3461 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0319 loss: 1.0319 2022/06/28 09:59:27 - mmengine - INFO - Epoch(train) [57][1820/3757] lr: 1.000e-03 eta: 12:03:21 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 6.0732 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3057 loss: 1.3057 2022/06/28 09:59:32 - mmengine - INFO - Epoch(train) [57][1840/3757] lr: 1.000e-03 eta: 12:03:16 time: 0.210 data_time: 0.011 memory: 5148 grad_norm: 5.7017 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4203 loss: 1.4203 2022/06/28 09:59:38 - mmengine - INFO - Epoch(train) [57][1860/3757] lr: 1.000e-03 eta: 12:03:10 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 7.5698 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2731 loss: 1.2731 2022/06/28 09:59:43 - mmengine - INFO - Epoch(train) [57][1880/3757] lr: 1.000e-03 eta: 12:03:05 time: 0.200 data_time: 0.013 memory: 5148 grad_norm: 6.7709 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7835 loss: 1.7835 2022/06/28 09:59:48 - mmengine - INFO - Epoch(train) [57][1900/3757] lr: 1.000e-03 eta: 12:03:00 time: 0.208 data_time: 0.009 memory: 5148 grad_norm: 5.6946 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5388 loss: 1.5388 2022/06/28 09:59:53 - mmengine - INFO - Epoch(train) [57][1920/3757] lr: 1.000e-03 eta: 12:02:54 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 7.6823 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7982 loss: 1.7982 2022/06/28 09:59:59 - mmengine - INFO - Epoch(train) [57][1940/3757] lr: 1.000e-03 eta: 12:02:49 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.5025 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6841 loss: 1.6841 2022/06/28 10:00:04 - mmengine - INFO - Epoch(train) [57][1960/3757] lr: 1.000e-03 eta: 12:02:44 time: 0.224 data_time: 0.045 memory: 5148 grad_norm: 6.8134 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3763 loss: 1.3763 2022/06/28 10:00:10 - mmengine - INFO - Epoch(train) [57][1980/3757] lr: 1.000e-03 eta: 12:02:39 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 7.0862 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5614 loss: 1.5614 2022/06/28 10:00:14 - mmengine - INFO - Epoch(train) [57][2000/3757] lr: 1.000e-03 eta: 12:02:33 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 7.6417 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4171 loss: 1.4171 2022/06/28 10:00:20 - mmengine - INFO - Epoch(train) [57][2020/3757] lr: 1.000e-03 eta: 12:02:28 time: 0.214 data_time: 0.013 memory: 5148 grad_norm: 7.0232 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7270 loss: 1.7270 2022/06/28 10:00:25 - mmengine - INFO - Epoch(train) [57][2040/3757] lr: 1.000e-03 eta: 12:02:22 time: 0.189 data_time: 0.010 memory: 5148 grad_norm: 6.3116 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5988 loss: 1.5988 2022/06/28 10:00:30 - mmengine - INFO - Epoch(train) [57][2060/3757] lr: 1.000e-03 eta: 12:02:17 time: 0.204 data_time: 0.012 memory: 5148 grad_norm: 8.4941 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2005 loss: 1.2005 2022/06/28 10:00:36 - mmengine - INFO - Epoch(train) [57][2080/3757] lr: 1.000e-03 eta: 12:02:12 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 7.5230 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6238 loss: 1.6238 2022/06/28 10:00:41 - mmengine - INFO - Epoch(train) [57][2100/3757] lr: 1.000e-03 eta: 12:02:06 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.7438 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.5192 loss: 1.5192 2022/06/28 10:00:46 - mmengine - INFO - Epoch(train) [57][2120/3757] lr: 1.000e-03 eta: 12:02:01 time: 0.214 data_time: 0.010 memory: 5148 grad_norm: 8.3722 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6266 loss: 1.6266 2022/06/28 10:00:52 - mmengine - INFO - Epoch(train) [57][2140/3757] lr: 1.000e-03 eta: 12:01:56 time: 0.205 data_time: 0.006 memory: 5148 grad_norm: 7.7458 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6293 loss: 1.6293 2022/06/28 10:00:57 - mmengine - INFO - Epoch(train) [57][2160/3757] lr: 1.000e-03 eta: 12:01:50 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 8.0653 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3428 loss: 1.3428 2022/06/28 10:01:02 - mmengine - INFO - Epoch(train) [57][2180/3757] lr: 1.000e-03 eta: 12:01:45 time: 0.198 data_time: 0.015 memory: 5148 grad_norm: 7.5591 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3954 loss: 1.3954 2022/06/28 10:01:08 - mmengine - INFO - Epoch(train) [57][2200/3757] lr: 1.000e-03 eta: 12:01:40 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 8.6535 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7120 loss: 1.7120 2022/06/28 10:01:13 - mmengine - INFO - Epoch(train) [57][2220/3757] lr: 1.000e-03 eta: 12:01:34 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 6.2930 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1934 loss: 1.1934 2022/06/28 10:01:18 - mmengine - INFO - Epoch(train) [57][2240/3757] lr: 1.000e-03 eta: 12:01:29 time: 0.198 data_time: 0.012 memory: 5148 grad_norm: 8.2184 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.5148 loss: 1.5148 2022/06/28 10:01:23 - mmengine - INFO - Epoch(train) [57][2260/3757] lr: 1.000e-03 eta: 12:01:24 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 7.5719 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2695 loss: 1.2695 2022/06/28 10:01:29 - mmengine - INFO - Epoch(train) [57][2280/3757] lr: 1.000e-03 eta: 12:01:19 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 7.9641 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5019 loss: 1.5019 2022/06/28 10:01:34 - mmengine - INFO - Epoch(train) [57][2300/3757] lr: 1.000e-03 eta: 12:01:13 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 6.8617 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3943 loss: 1.3943 2022/06/28 10:01:39 - mmengine - INFO - Epoch(train) [57][2320/3757] lr: 1.000e-03 eta: 12:01:08 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 6.7359 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2499 loss: 1.2499 2022/06/28 10:01:44 - mmengine - INFO - Epoch(train) [57][2340/3757] lr: 1.000e-03 eta: 12:01:02 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 7.4456 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8783 loss: 1.8783 2022/06/28 10:01:50 - mmengine - INFO - Epoch(train) [57][2360/3757] lr: 1.000e-03 eta: 12:00:57 time: 0.212 data_time: 0.008 memory: 5148 grad_norm: 6.0556 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2532 loss: 1.2532 2022/06/28 10:01:55 - mmengine - INFO - Epoch(train) [57][2380/3757] lr: 1.000e-03 eta: 12:00:52 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 7.3526 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5521 loss: 1.5521 2022/06/28 10:02:00 - mmengine - INFO - Epoch(train) [57][2400/3757] lr: 1.000e-03 eta: 12:00:46 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 8.5707 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2790 loss: 1.2790 2022/06/28 10:02:06 - mmengine - INFO - Epoch(train) [57][2420/3757] lr: 1.000e-03 eta: 12:00:41 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 7.3599 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.4963 loss: 1.4963 2022/06/28 10:02:11 - mmengine - INFO - Epoch(train) [57][2440/3757] lr: 1.000e-03 eta: 12:00:36 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.5315 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4069 loss: 1.4069 2022/06/28 10:02:16 - mmengine - INFO - Epoch(train) [57][2460/3757] lr: 1.000e-03 eta: 12:00:30 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.3375 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8206 loss: 1.8206 2022/06/28 10:02:22 - mmengine - INFO - Epoch(train) [57][2480/3757] lr: 1.000e-03 eta: 12:00:25 time: 0.193 data_time: 0.008 memory: 5148 grad_norm: 5.9080 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1367 loss: 1.1367 2022/06/28 10:02:28 - mmengine - INFO - Epoch(train) [57][2500/3757] lr: 1.000e-03 eta: 12:00:20 time: 0.192 data_time: 0.006 memory: 5148 grad_norm: 7.5970 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9318 loss: 1.9318 2022/06/28 10:02:32 - mmengine - INFO - Epoch(train) [57][2520/3757] lr: 1.000e-03 eta: 12:00:14 time: 0.226 data_time: 0.006 memory: 5148 grad_norm: 7.1780 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3753 loss: 1.3753 2022/06/28 10:02:38 - mmengine - INFO - Epoch(train) [57][2540/3757] lr: 1.000e-03 eta: 12:00:09 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 6.8659 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7150 loss: 1.7150 2022/06/28 10:02:43 - mmengine - INFO - Epoch(train) [57][2560/3757] lr: 1.000e-03 eta: 12:00:04 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.9752 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2467 loss: 1.2467 2022/06/28 10:02:49 - mmengine - INFO - Epoch(train) [57][2580/3757] lr: 1.000e-03 eta: 11:59:59 time: 0.715 data_time: 0.010 memory: 5148 grad_norm: 6.9437 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1335 loss: 1.1335 2022/06/28 10:02:54 - mmengine - INFO - Epoch(train) [57][2600/3757] lr: 1.000e-03 eta: 11:59:53 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 7.7678 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5298 loss: 1.5298 2022/06/28 10:02:56 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 10:02:59 - mmengine - INFO - Epoch(train) [57][2620/3757] lr: 1.000e-03 eta: 11:59:48 time: 0.220 data_time: 0.007 memory: 5148 grad_norm: 8.6532 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3221 loss: 1.3221 2022/06/28 10:03:05 - mmengine - INFO - Epoch(train) [57][2640/3757] lr: 1.000e-03 eta: 11:59:43 time: 0.952 data_time: 0.011 memory: 5148 grad_norm: 7.2335 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4391 loss: 1.4391 2022/06/28 10:03:10 - mmengine - INFO - Epoch(train) [57][2660/3757] lr: 1.000e-03 eta: 11:59:37 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 6.6345 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4492 loss: 1.4492 2022/06/28 10:03:15 - mmengine - INFO - Epoch(train) [57][2680/3757] lr: 1.000e-03 eta: 11:59:32 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 7.8395 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1794 loss: 1.1794 2022/06/28 10:03:20 - mmengine - INFO - Epoch(train) [57][2700/3757] lr: 1.000e-03 eta: 11:59:27 time: 0.438 data_time: 0.011 memory: 5148 grad_norm: 6.5066 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5895 loss: 1.5895 2022/06/28 10:03:25 - mmengine - INFO - Epoch(train) [57][2720/3757] lr: 1.000e-03 eta: 11:59:21 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 7.2602 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4345 loss: 1.4345 2022/06/28 10:03:30 - mmengine - INFO - Epoch(train) [57][2740/3757] lr: 1.000e-03 eta: 11:59:16 time: 0.201 data_time: 0.015 memory: 5148 grad_norm: 6.6727 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3608 loss: 1.3608 2022/06/28 10:03:36 - mmengine - INFO - Epoch(train) [57][2760/3757] lr: 1.000e-03 eta: 11:59:10 time: 0.210 data_time: 0.006 memory: 5148 grad_norm: 7.7329 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3476 loss: 1.3476 2022/06/28 10:03:41 - mmengine - INFO - Epoch(train) [57][2780/3757] lr: 1.000e-03 eta: 11:59:05 time: 0.196 data_time: 0.005 memory: 5148 grad_norm: 8.2320 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3820 loss: 1.3820 2022/06/28 10:03:46 - mmengine - INFO - Epoch(train) [57][2800/3757] lr: 1.000e-03 eta: 11:58:59 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 7.1405 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5711 loss: 1.5711 2022/06/28 10:03:52 - mmengine - INFO - Epoch(train) [57][2820/3757] lr: 1.000e-03 eta: 11:58:54 time: 0.921 data_time: 0.011 memory: 5148 grad_norm: 7.5069 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1688 loss: 1.1688 2022/06/28 10:03:56 - mmengine - INFO - Epoch(train) [57][2840/3757] lr: 1.000e-03 eta: 11:58:49 time: 0.209 data_time: 0.014 memory: 5148 grad_norm: 8.4232 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5246 loss: 1.5246 2022/06/28 10:04:01 - mmengine - INFO - Epoch(train) [57][2860/3757] lr: 1.000e-03 eta: 11:58:43 time: 0.215 data_time: 0.008 memory: 5148 grad_norm: 6.4268 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6878 loss: 1.6878 2022/06/28 10:04:07 - mmengine - INFO - Epoch(train) [57][2880/3757] lr: 1.000e-03 eta: 11:58:38 time: 1.056 data_time: 0.006 memory: 5148 grad_norm: 8.2194 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9022 loss: 1.9022 2022/06/28 10:04:12 - mmengine - INFO - Epoch(train) [57][2900/3757] lr: 1.000e-03 eta: 11:58:32 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.3713 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2233 loss: 1.2233 2022/06/28 10:04:18 - mmengine - INFO - Epoch(train) [57][2920/3757] lr: 1.000e-03 eta: 11:58:28 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 7.9971 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3802 loss: 1.3802 2022/06/28 10:04:23 - mmengine - INFO - Epoch(train) [57][2940/3757] lr: 1.000e-03 eta: 11:58:22 time: 0.504 data_time: 0.013 memory: 5148 grad_norm: 7.5933 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.2015 loss: 1.2015 2022/06/28 10:04:28 - mmengine - INFO - Epoch(train) [57][2960/3757] lr: 1.000e-03 eta: 11:58:16 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 7.1382 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3580 loss: 1.3580 2022/06/28 10:04:33 - mmengine - INFO - Epoch(train) [57][2980/3757] lr: 1.000e-03 eta: 11:58:11 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 7.2117 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3763 loss: 1.3763 2022/06/28 10:04:39 - mmengine - INFO - Epoch(train) [57][3000/3757] lr: 1.000e-03 eta: 11:58:06 time: 0.516 data_time: 0.016 memory: 5148 grad_norm: 6.3669 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8487 loss: 0.8487 2022/06/28 10:04:43 - mmengine - INFO - Epoch(train) [57][3020/3757] lr: 1.000e-03 eta: 11:58:00 time: 0.214 data_time: 0.013 memory: 5148 grad_norm: 6.9568 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8125 loss: 1.8125 2022/06/28 10:04:49 - mmengine - INFO - Epoch(train) [57][3040/3757] lr: 1.000e-03 eta: 11:57:55 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 6.2491 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9490 loss: 0.9490 2022/06/28 10:04:54 - mmengine - INFO - Epoch(train) [57][3060/3757] lr: 1.000e-03 eta: 11:57:50 time: 0.205 data_time: 0.021 memory: 5148 grad_norm: 5.8868 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4212 loss: 1.4212 2022/06/28 10:04:59 - mmengine - INFO - Epoch(train) [57][3080/3757] lr: 1.000e-03 eta: 11:57:44 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 7.0034 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5045 loss: 1.5045 2022/06/28 10:05:05 - mmengine - INFO - Epoch(train) [57][3100/3757] lr: 1.000e-03 eta: 11:57:39 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 6.8932 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5173 loss: 1.5173 2022/06/28 10:05:10 - mmengine - INFO - Epoch(train) [57][3120/3757] lr: 1.000e-03 eta: 11:57:34 time: 0.623 data_time: 0.019 memory: 5148 grad_norm: 8.7209 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4214 loss: 1.4214 2022/06/28 10:05:15 - mmengine - INFO - Epoch(train) [57][3140/3757] lr: 1.000e-03 eta: 11:57:28 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 8.9517 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4455 loss: 1.4455 2022/06/28 10:05:21 - mmengine - INFO - Epoch(train) [57][3160/3757] lr: 1.000e-03 eta: 11:57:23 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 7.8278 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2826 loss: 1.2826 2022/06/28 10:05:26 - mmengine - INFO - Epoch(train) [57][3180/3757] lr: 1.000e-03 eta: 11:57:18 time: 0.598 data_time: 0.017 memory: 5148 grad_norm: 6.8084 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3963 loss: 1.3963 2022/06/28 10:05:31 - mmengine - INFO - Epoch(train) [57][3200/3757] lr: 1.000e-03 eta: 11:57:12 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 7.7357 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3968 loss: 1.3968 2022/06/28 10:05:36 - mmengine - INFO - Epoch(train) [57][3220/3757] lr: 1.000e-03 eta: 11:57:07 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 5.8593 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2226 loss: 1.2226 2022/06/28 10:05:41 - mmengine - INFO - Epoch(train) [57][3240/3757] lr: 1.000e-03 eta: 11:57:01 time: 0.198 data_time: 0.021 memory: 5148 grad_norm: 7.4431 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3966 loss: 1.3966 2022/06/28 10:05:47 - mmengine - INFO - Epoch(train) [57][3260/3757] lr: 1.000e-03 eta: 11:56:56 time: 0.251 data_time: 0.007 memory: 5148 grad_norm: 7.2515 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2876 loss: 1.2876 2022/06/28 10:05:52 - mmengine - INFO - Epoch(train) [57][3280/3757] lr: 1.000e-03 eta: 11:56:51 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 7.0790 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1434 loss: 1.1434 2022/06/28 10:05:57 - mmengine - INFO - Epoch(train) [57][3300/3757] lr: 1.000e-03 eta: 11:56:45 time: 0.375 data_time: 0.019 memory: 5148 grad_norm: 7.4140 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8069 loss: 1.8069 2022/06/28 10:06:03 - mmengine - INFO - Epoch(train) [57][3320/3757] lr: 1.000e-03 eta: 11:56:40 time: 0.345 data_time: 0.007 memory: 5148 grad_norm: 7.2951 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3697 loss: 1.3697 2022/06/28 10:06:08 - mmengine - INFO - Epoch(train) [57][3340/3757] lr: 1.000e-03 eta: 11:56:35 time: 0.400 data_time: 0.007 memory: 5148 grad_norm: 6.5176 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3255 loss: 1.3255 2022/06/28 10:06:13 - mmengine - INFO - Epoch(train) [57][3360/3757] lr: 1.000e-03 eta: 11:56:29 time: 0.196 data_time: 0.014 memory: 5148 grad_norm: 7.0152 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2456 loss: 1.2456 2022/06/28 10:06:18 - mmengine - INFO - Epoch(train) [57][3380/3757] lr: 1.000e-03 eta: 11:56:24 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 8.5278 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4431 loss: 1.4431 2022/06/28 10:06:23 - mmengine - INFO - Epoch(train) [57][3400/3757] lr: 1.000e-03 eta: 11:56:18 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 8.4057 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6181 loss: 1.6181 2022/06/28 10:06:29 - mmengine - INFO - Epoch(train) [57][3420/3757] lr: 1.000e-03 eta: 11:56:13 time: 0.200 data_time: 0.012 memory: 5148 grad_norm: 7.5795 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6931 loss: 1.6931 2022/06/28 10:06:34 - mmengine - INFO - Epoch(train) [57][3440/3757] lr: 1.000e-03 eta: 11:56:08 time: 0.256 data_time: 0.007 memory: 5148 grad_norm: 6.7765 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4665 loss: 1.4665 2022/06/28 10:06:40 - mmengine - INFO - Epoch(train) [57][3460/3757] lr: 1.000e-03 eta: 11:56:03 time: 0.228 data_time: 0.007 memory: 5148 grad_norm: 7.1376 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2184 loss: 1.2184 2022/06/28 10:06:45 - mmengine - INFO - Epoch(train) [57][3480/3757] lr: 1.000e-03 eta: 11:55:57 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 6.6742 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2347 loss: 1.2347 2022/06/28 10:06:50 - mmengine - INFO - Epoch(train) [57][3500/3757] lr: 1.000e-03 eta: 11:55:52 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 6.7965 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4404 loss: 1.4404 2022/06/28 10:06:55 - mmengine - INFO - Epoch(train) [57][3520/3757] lr: 1.000e-03 eta: 11:55:47 time: 0.205 data_time: 0.017 memory: 5148 grad_norm: 7.7756 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4651 loss: 1.4651 2022/06/28 10:07:00 - mmengine - INFO - Epoch(train) [57][3540/3757] lr: 1.000e-03 eta: 11:55:41 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 7.2414 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0817 loss: 1.0817 2022/06/28 10:07:05 - mmengine - INFO - Epoch(train) [57][3560/3757] lr: 1.000e-03 eta: 11:55:36 time: 0.200 data_time: 0.016 memory: 5148 grad_norm: 7.7823 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9940 loss: 0.9940 2022/06/28 10:07:11 - mmengine - INFO - Epoch(train) [57][3580/3757] lr: 1.000e-03 eta: 11:55:30 time: 0.269 data_time: 0.013 memory: 5148 grad_norm: 7.8189 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2729 loss: 1.2729 2022/06/28 10:07:16 - mmengine - INFO - Epoch(train) [57][3600/3757] lr: 1.000e-03 eta: 11:55:25 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 7.0382 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5651 loss: 1.5651 2022/06/28 10:07:19 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 10:07:22 - mmengine - INFO - Epoch(train) [57][3620/3757] lr: 1.000e-03 eta: 11:55:20 time: 0.197 data_time: 0.009 memory: 5148 grad_norm: 7.9036 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4556 loss: 1.4556 2022/06/28 10:07:27 - mmengine - INFO - Epoch(train) [57][3640/3757] lr: 1.000e-03 eta: 11:55:15 time: 0.205 data_time: 0.014 memory: 5148 grad_norm: 6.6748 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3645 loss: 1.3645 2022/06/28 10:07:32 - mmengine - INFO - Epoch(train) [57][3660/3757] lr: 1.000e-03 eta: 11:55:09 time: 0.234 data_time: 0.012 memory: 5148 grad_norm: 7.0364 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2229 loss: 1.2229 2022/06/28 10:07:38 - mmengine - INFO - Epoch(train) [57][3680/3757] lr: 1.000e-03 eta: 11:55:04 time: 0.206 data_time: 0.014 memory: 5148 grad_norm: 6.1625 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4067 loss: 1.4067 2022/06/28 10:07:43 - mmengine - INFO - Epoch(train) [57][3700/3757] lr: 1.000e-03 eta: 11:54:59 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 7.9949 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5086 loss: 1.5086 2022/06/28 10:07:49 - mmengine - INFO - Epoch(train) [57][3720/3757] lr: 1.000e-03 eta: 11:54:54 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.6569 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2222 loss: 1.2222 2022/06/28 10:07:54 - mmengine - INFO - Epoch(train) [57][3740/3757] lr: 1.000e-03 eta: 11:54:48 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 7.1692 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6516 loss: 1.6516 2022/06/28 10:07:57 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 10:08:04 - mmengine - INFO - Epoch(val) [57][20/310] eta: 0:01:11 time: 0.089 data_time: 0.012 memory: 5148 2022/06/28 10:08:09 - mmengine - INFO - Epoch(val) [57][40/310] eta: 0:01:01 time: 0.157 data_time: 0.080 memory: 1367 2022/06/28 10:08:15 - mmengine - INFO - Epoch(val) [57][60/310] eta: 0:01:00 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 10:08:20 - mmengine - INFO - Epoch(val) [57][80/310] eta: 0:01:00 time: 0.268 data_time: 0.196 memory: 1367 2022/06/28 10:08:25 - mmengine - INFO - Epoch(val) [57][100/310] eta: 0:00:49 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 10:08:30 - mmengine - INFO - Epoch(val) [57][120/310] eta: 0:00:48 time: 0.106 data_time: 0.034 memory: 1367 2022/06/28 10:08:36 - mmengine - INFO - Epoch(val) [57][140/310] eta: 0:00:39 time: 0.085 data_time: 0.008 memory: 1367 2022/06/28 10:08:41 - mmengine - INFO - Epoch(val) [57][160/310] eta: 0:00:44 time: 0.587 data_time: 0.513 memory: 1367 2022/06/28 10:08:47 - mmengine - INFO - Epoch(val) [57][180/310] eta: 0:00:37 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 10:08:52 - mmengine - INFO - Epoch(val) [57][200/310] eta: 0:00:32 time: 0.800 data_time: 0.728 memory: 1367 2022/06/28 10:08:58 - mmengine - INFO - Epoch(val) [57][220/310] eta: 0:00:32 time: 0.094 data_time: 0.009 memory: 1367 2022/06/28 10:09:02 - mmengine - INFO - Epoch(val) [57][240/310] eta: 0:00:14 time: 0.080 data_time: 0.008 memory: 1367 2022/06/28 10:09:08 - mmengine - INFO - Epoch(val) [57][260/310] eta: 0:00:17 time: 0.080 data_time: 0.005 memory: 1367 2022/06/28 10:09:13 - mmengine - INFO - Epoch(val) [57][280/310] eta: 0:00:07 time: 0.177 data_time: 0.100 memory: 1367 2022/06/28 10:09:18 - mmengine - INFO - Epoch(val) [57][300/310] eta: 0:00:03 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 10:09:21 - mmengine - INFO - Epoch(val) [57][310/310] acc/top1: 0.6479 acc/top5: 0.8549 acc/mean1: 0.6478 2022/06/28 10:09:30 - mmengine - INFO - Epoch(train) [58][20/3757] lr: 1.000e-03 eta: 11:54:39 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 6.5283 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1481 loss: 1.1481 2022/06/28 10:09:36 - mmengine - INFO - Epoch(train) [58][40/3757] lr: 1.000e-03 eta: 11:54:34 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 6.8067 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3383 loss: 1.3383 2022/06/28 10:09:41 - mmengine - INFO - Epoch(train) [58][60/3757] lr: 1.000e-03 eta: 11:54:28 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 7.9635 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0935 loss: 1.0935 2022/06/28 10:09:46 - mmengine - INFO - Epoch(train) [58][80/3757] lr: 1.000e-03 eta: 11:54:23 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 7.8508 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8199 loss: 1.8199 2022/06/28 10:09:52 - mmengine - INFO - Epoch(train) [58][100/3757] lr: 1.000e-03 eta: 11:54:18 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 6.8354 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3885 loss: 1.3885 2022/06/28 10:09:57 - mmengine - INFO - Epoch(train) [58][120/3757] lr: 1.000e-03 eta: 11:54:13 time: 0.218 data_time: 0.010 memory: 5148 grad_norm: 6.8119 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6793 loss: 1.6793 2022/06/28 10:10:03 - mmengine - INFO - Epoch(train) [58][140/3757] lr: 1.000e-03 eta: 11:54:07 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 6.8528 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1294 loss: 1.1294 2022/06/28 10:10:09 - mmengine - INFO - Epoch(train) [58][160/3757] lr: 1.000e-03 eta: 11:54:03 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 7.3717 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0729 loss: 1.0729 2022/06/28 10:10:13 - mmengine - INFO - Epoch(train) [58][180/3757] lr: 1.000e-03 eta: 11:53:57 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 7.3345 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2803 loss: 1.2803 2022/06/28 10:10:19 - mmengine - INFO - Epoch(train) [58][200/3757] lr: 1.000e-03 eta: 11:53:52 time: 0.225 data_time: 0.007 memory: 5148 grad_norm: 7.6048 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5198 loss: 1.5198 2022/06/28 10:10:25 - mmengine - INFO - Epoch(train) [58][220/3757] lr: 1.000e-03 eta: 11:53:47 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 5.6238 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3381 loss: 1.3381 2022/06/28 10:10:29 - mmengine - INFO - Epoch(train) [58][240/3757] lr: 1.000e-03 eta: 11:53:41 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 6.8539 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4161 loss: 1.4161 2022/06/28 10:10:35 - mmengine - INFO - Epoch(train) [58][260/3757] lr: 1.000e-03 eta: 11:53:36 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.8763 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0199 loss: 1.0199 2022/06/28 10:10:40 - mmengine - INFO - Epoch(train) [58][280/3757] lr: 1.000e-03 eta: 11:53:31 time: 0.231 data_time: 0.012 memory: 5148 grad_norm: 7.2602 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4784 loss: 1.4784 2022/06/28 10:10:45 - mmengine - INFO - Epoch(train) [58][300/3757] lr: 1.000e-03 eta: 11:53:25 time: 0.211 data_time: 0.012 memory: 5148 grad_norm: 7.8078 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1538 loss: 1.1538 2022/06/28 10:10:50 - mmengine - INFO - Epoch(train) [58][320/3757] lr: 1.000e-03 eta: 11:53:19 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 5.6973 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1932 loss: 1.1932 2022/06/28 10:10:56 - mmengine - INFO - Epoch(train) [58][340/3757] lr: 1.000e-03 eta: 11:53:14 time: 0.226 data_time: 0.007 memory: 5148 grad_norm: 6.8893 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2077 loss: 1.2077 2022/06/28 10:11:02 - mmengine - INFO - Epoch(train) [58][360/3757] lr: 1.000e-03 eta: 11:53:09 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 6.6962 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3987 loss: 1.3987 2022/06/28 10:11:06 - mmengine - INFO - Epoch(train) [58][380/3757] lr: 1.000e-03 eta: 11:53:03 time: 0.200 data_time: 0.012 memory: 5148 grad_norm: 7.3395 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7238 loss: 1.7238 2022/06/28 10:11:11 - mmengine - INFO - Epoch(train) [58][400/3757] lr: 1.000e-03 eta: 11:52:58 time: 0.213 data_time: 0.006 memory: 5148 grad_norm: 7.1190 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3191 loss: 1.3191 2022/06/28 10:11:16 - mmengine - INFO - Epoch(train) [58][420/3757] lr: 1.000e-03 eta: 11:52:52 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 6.9874 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4309 loss: 1.4309 2022/06/28 10:11:22 - mmengine - INFO - Epoch(train) [58][440/3757] lr: 1.000e-03 eta: 11:52:47 time: 0.195 data_time: 0.013 memory: 5148 grad_norm: 7.0808 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5890 loss: 1.5890 2022/06/28 10:11:28 - mmengine - INFO - Epoch(train) [58][460/3757] lr: 1.000e-03 eta: 11:52:43 time: 0.213 data_time: 0.006 memory: 5148 grad_norm: 8.7091 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6578 loss: 1.6578 2022/06/28 10:11:32 - mmengine - INFO - Epoch(train) [58][480/3757] lr: 1.000e-03 eta: 11:52:37 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 7.2535 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2938 loss: 1.2938 2022/06/28 10:11:38 - mmengine - INFO - Epoch(train) [58][500/3757] lr: 1.000e-03 eta: 11:52:32 time: 0.220 data_time: 0.014 memory: 5148 grad_norm: 6.5838 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3077 loss: 1.3077 2022/06/28 10:11:43 - mmengine - INFO - Epoch(train) [58][520/3757] lr: 1.000e-03 eta: 11:52:26 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 8.0143 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2062 loss: 1.2062 2022/06/28 10:11:48 - mmengine - INFO - Epoch(train) [58][540/3757] lr: 1.000e-03 eta: 11:52:20 time: 0.221 data_time: 0.007 memory: 5148 grad_norm: 7.2530 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5180 loss: 1.5180 2022/06/28 10:11:53 - mmengine - INFO - Epoch(train) [58][560/3757] lr: 1.000e-03 eta: 11:52:15 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 8.8418 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6295 loss: 1.6295 2022/06/28 10:12:00 - mmengine - INFO - Epoch(train) [58][580/3757] lr: 1.000e-03 eta: 11:52:11 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 7.5803 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1811 loss: 1.1811 2022/06/28 10:12:04 - mmengine - INFO - Epoch(train) [58][600/3757] lr: 1.000e-03 eta: 11:52:05 time: 0.214 data_time: 0.006 memory: 5148 grad_norm: 6.5380 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1643 loss: 1.1643 2022/06/28 10:12:10 - mmengine - INFO - Epoch(train) [58][620/3757] lr: 1.000e-03 eta: 11:52:00 time: 0.208 data_time: 0.028 memory: 5148 grad_norm: 6.4273 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4882 loss: 1.4882 2022/06/28 10:12:16 - mmengine - INFO - Epoch(train) [58][640/3757] lr: 1.000e-03 eta: 11:51:55 time: 0.224 data_time: 0.006 memory: 5148 grad_norm: 7.6652 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3095 loss: 1.3095 2022/06/28 10:12:22 - mmengine - INFO - Epoch(train) [58][660/3757] lr: 1.000e-03 eta: 11:51:50 time: 0.207 data_time: 0.013 memory: 5148 grad_norm: 7.5195 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7215 loss: 1.7215 2022/06/28 10:12:26 - mmengine - INFO - Epoch(train) [58][680/3757] lr: 1.000e-03 eta: 11:51:44 time: 0.211 data_time: 0.010 memory: 5148 grad_norm: 7.4699 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0123 loss: 1.0123 2022/06/28 10:12:31 - mmengine - INFO - Epoch(train) [58][700/3757] lr: 1.000e-03 eta: 11:51:39 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 6.5846 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2603 loss: 1.2603 2022/06/28 10:12:36 - mmengine - INFO - Epoch(train) [58][720/3757] lr: 1.000e-03 eta: 11:51:33 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 8.1498 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9584 loss: 1.9584 2022/06/28 10:12:41 - mmengine - INFO - Epoch(train) [58][740/3757] lr: 1.000e-03 eta: 11:51:28 time: 0.400 data_time: 0.014 memory: 5148 grad_norm: 6.8990 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4773 loss: 1.4773 2022/06/28 10:12:47 - mmengine - INFO - Epoch(train) [58][760/3757] lr: 1.000e-03 eta: 11:51:22 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 9.2428 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5019 loss: 1.5019 2022/06/28 10:12:52 - mmengine - INFO - Epoch(train) [58][780/3757] lr: 1.000e-03 eta: 11:51:17 time: 0.206 data_time: 0.017 memory: 5148 grad_norm: 6.9469 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2774 loss: 1.2774 2022/06/28 10:12:57 - mmengine - INFO - Epoch(train) [58][800/3757] lr: 1.000e-03 eta: 11:51:12 time: 0.662 data_time: 0.014 memory: 5148 grad_norm: 6.4155 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2608 loss: 1.2608 2022/06/28 10:13:02 - mmengine - INFO - Epoch(train) [58][820/3757] lr: 1.000e-03 eta: 11:51:06 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 6.7653 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2024 loss: 1.2024 2022/06/28 10:13:08 - mmengine - INFO - Epoch(train) [58][840/3757] lr: 1.000e-03 eta: 11:51:01 time: 0.207 data_time: 0.030 memory: 5148 grad_norm: 7.6148 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1759 loss: 1.1759 2022/06/28 10:13:11 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 10:13:13 - mmengine - INFO - Epoch(train) [58][860/3757] lr: 1.000e-03 eta: 11:50:56 time: 0.657 data_time: 0.010 memory: 5148 grad_norm: 6.1186 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0888 loss: 1.0888 2022/06/28 10:13:19 - mmengine - INFO - Epoch(train) [58][880/3757] lr: 1.000e-03 eta: 11:50:51 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 6.4630 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5382 loss: 1.5382 2022/06/28 10:13:24 - mmengine - INFO - Epoch(train) [58][900/3757] lr: 1.000e-03 eta: 11:50:45 time: 0.204 data_time: 0.016 memory: 5148 grad_norm: 7.1236 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5537 loss: 1.5537 2022/06/28 10:13:30 - mmengine - INFO - Epoch(train) [58][920/3757] lr: 1.000e-03 eta: 11:50:40 time: 0.583 data_time: 0.010 memory: 5148 grad_norm: 6.0615 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4327 loss: 1.4327 2022/06/28 10:13:35 - mmengine - INFO - Epoch(train) [58][940/3757] lr: 1.000e-03 eta: 11:50:35 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 7.0917 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6530 loss: 1.6530 2022/06/28 10:13:40 - mmengine - INFO - Epoch(train) [58][960/3757] lr: 1.000e-03 eta: 11:50:29 time: 0.208 data_time: 0.012 memory: 5148 grad_norm: 7.1577 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4189 loss: 1.4189 2022/06/28 10:13:45 - mmengine - INFO - Epoch(train) [58][980/3757] lr: 1.000e-03 eta: 11:50:24 time: 0.501 data_time: 0.007 memory: 5148 grad_norm: 8.5756 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4822 loss: 1.4822 2022/06/28 10:13:50 - mmengine - INFO - Epoch(train) [58][1000/3757] lr: 1.000e-03 eta: 11:50:18 time: 0.207 data_time: 0.015 memory: 5148 grad_norm: 6.6467 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1571 loss: 1.1571 2022/06/28 10:13:55 - mmengine - INFO - Epoch(train) [58][1020/3757] lr: 1.000e-03 eta: 11:50:13 time: 0.205 data_time: 0.013 memory: 5148 grad_norm: 6.5704 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1805 loss: 1.1805 2022/06/28 10:14:01 - mmengine - INFO - Epoch(train) [58][1040/3757] lr: 1.000e-03 eta: 11:50:08 time: 0.222 data_time: 0.013 memory: 5148 grad_norm: 9.3351 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7110 loss: 1.7110 2022/06/28 10:14:06 - mmengine - INFO - Epoch(train) [58][1060/3757] lr: 1.000e-03 eta: 11:50:02 time: 0.311 data_time: 0.011 memory: 5148 grad_norm: 7.3654 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4689 loss: 1.4689 2022/06/28 10:14:11 - mmengine - INFO - Epoch(train) [58][1080/3757] lr: 1.000e-03 eta: 11:49:57 time: 0.198 data_time: 0.014 memory: 5148 grad_norm: 7.7221 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5703 loss: 1.5703 2022/06/28 10:14:17 - mmengine - INFO - Epoch(train) [58][1100/3757] lr: 1.000e-03 eta: 11:49:52 time: 0.698 data_time: 0.013 memory: 5148 grad_norm: 6.0609 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5407 loss: 1.5407 2022/06/28 10:14:22 - mmengine - INFO - Epoch(train) [58][1120/3757] lr: 1.000e-03 eta: 11:49:46 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 6.4298 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3945 loss: 1.3945 2022/06/28 10:14:27 - mmengine - INFO - Epoch(train) [58][1140/3757] lr: 1.000e-03 eta: 11:49:41 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 7.8204 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0278 loss: 1.0278 2022/06/28 10:14:33 - mmengine - INFO - Epoch(train) [58][1160/3757] lr: 1.000e-03 eta: 11:49:36 time: 0.581 data_time: 0.007 memory: 5148 grad_norm: 5.4880 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3635 loss: 1.3635 2022/06/28 10:14:38 - mmengine - INFO - Epoch(train) [58][1180/3757] lr: 1.000e-03 eta: 11:49:30 time: 0.209 data_time: 0.022 memory: 5148 grad_norm: 7.4492 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7113 loss: 1.7113 2022/06/28 10:14:43 - mmengine - INFO - Epoch(train) [58][1200/3757] lr: 1.000e-03 eta: 11:49:25 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 7.7306 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2755 loss: 1.2755 2022/06/28 10:14:48 - mmengine - INFO - Epoch(train) [58][1220/3757] lr: 1.000e-03 eta: 11:49:20 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 7.0215 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2964 loss: 1.2964 2022/06/28 10:14:54 - mmengine - INFO - Epoch(train) [58][1240/3757] lr: 1.000e-03 eta: 11:49:15 time: 0.213 data_time: 0.024 memory: 5148 grad_norm: 7.3169 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3282 loss: 1.3282 2022/06/28 10:14:59 - mmengine - INFO - Epoch(train) [58][1260/3757] lr: 1.000e-03 eta: 11:49:09 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 7.3501 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2915 loss: 1.2915 2022/06/28 10:15:05 - mmengine - INFO - Epoch(train) [58][1280/3757] lr: 1.000e-03 eta: 11:49:04 time: 0.434 data_time: 0.008 memory: 5148 grad_norm: 5.5229 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4131 loss: 1.4131 2022/06/28 10:15:10 - mmengine - INFO - Epoch(train) [58][1300/3757] lr: 1.000e-03 eta: 11:48:59 time: 0.217 data_time: 0.037 memory: 5148 grad_norm: 7.4737 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0250 loss: 1.0250 2022/06/28 10:15:15 - mmengine - INFO - Epoch(train) [58][1320/3757] lr: 1.000e-03 eta: 11:48:53 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 6.7061 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4714 loss: 1.4714 2022/06/28 10:15:21 - mmengine - INFO - Epoch(train) [58][1340/3757] lr: 1.000e-03 eta: 11:48:48 time: 0.698 data_time: 0.007 memory: 5148 grad_norm: 7.0408 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3552 loss: 1.3552 2022/06/28 10:15:26 - mmengine - INFO - Epoch(train) [58][1360/3757] lr: 1.000e-03 eta: 11:48:43 time: 0.207 data_time: 0.015 memory: 5148 grad_norm: 7.9049 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6940 loss: 1.6940 2022/06/28 10:15:31 - mmengine - INFO - Epoch(train) [58][1380/3757] lr: 1.000e-03 eta: 11:48:37 time: 0.195 data_time: 0.014 memory: 5148 grad_norm: 6.1444 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3973 loss: 1.3973 2022/06/28 10:15:37 - mmengine - INFO - Epoch(train) [58][1400/3757] lr: 1.000e-03 eta: 11:48:32 time: 0.261 data_time: 0.007 memory: 5148 grad_norm: 6.5517 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3905 loss: 1.3905 2022/06/28 10:15:42 - mmengine - INFO - Epoch(train) [58][1420/3757] lr: 1.000e-03 eta: 11:48:27 time: 0.224 data_time: 0.013 memory: 5148 grad_norm: 7.9720 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4122 loss: 1.4122 2022/06/28 10:15:48 - mmengine - INFO - Epoch(train) [58][1440/3757] lr: 1.000e-03 eta: 11:48:22 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 6.8146 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3433 loss: 1.3433 2022/06/28 10:15:53 - mmengine - INFO - Epoch(train) [58][1460/3757] lr: 1.000e-03 eta: 11:48:17 time: 0.675 data_time: 0.007 memory: 5148 grad_norm: 7.4520 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1890 loss: 1.1890 2022/06/28 10:15:58 - mmengine - INFO - Epoch(train) [58][1480/3757] lr: 1.000e-03 eta: 11:48:11 time: 0.218 data_time: 0.007 memory: 5148 grad_norm: 6.7865 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6660 loss: 1.6660 2022/06/28 10:16:04 - mmengine - INFO - Epoch(train) [58][1500/3757] lr: 1.000e-03 eta: 11:48:06 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 6.5742 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4208 loss: 1.4208 2022/06/28 10:16:09 - mmengine - INFO - Epoch(train) [58][1520/3757] lr: 1.000e-03 eta: 11:48:01 time: 0.338 data_time: 0.007 memory: 5148 grad_norm: 7.2893 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3238 loss: 1.3238 2022/06/28 10:16:14 - mmengine - INFO - Epoch(train) [58][1540/3757] lr: 1.000e-03 eta: 11:47:55 time: 0.243 data_time: 0.007 memory: 5148 grad_norm: 6.9437 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3419 loss: 1.3419 2022/06/28 10:16:20 - mmengine - INFO - Epoch(train) [58][1560/3757] lr: 1.000e-03 eta: 11:47:50 time: 0.208 data_time: 0.009 memory: 5148 grad_norm: 6.4305 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2768 loss: 1.2768 2022/06/28 10:16:25 - mmengine - INFO - Epoch(train) [58][1580/3757] lr: 1.000e-03 eta: 11:47:44 time: 0.827 data_time: 0.014 memory: 5148 grad_norm: 6.1652 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7015 loss: 1.7015 2022/06/28 10:16:29 - mmengine - INFO - Epoch(train) [58][1600/3757] lr: 1.000e-03 eta: 11:47:38 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 6.0962 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0680 loss: 1.0680 2022/06/28 10:16:35 - mmengine - INFO - Epoch(train) [58][1620/3757] lr: 1.000e-03 eta: 11:47:34 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 7.0939 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1773 loss: 1.1773 2022/06/28 10:16:40 - mmengine - INFO - Epoch(train) [58][1640/3757] lr: 1.000e-03 eta: 11:47:28 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 7.3568 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1477 loss: 1.1477 2022/06/28 10:16:45 - mmengine - INFO - Epoch(train) [58][1660/3757] lr: 1.000e-03 eta: 11:47:23 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.8254 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3651 loss: 1.3651 2022/06/28 10:16:51 - mmengine - INFO - Epoch(train) [58][1680/3757] lr: 1.000e-03 eta: 11:47:18 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 7.1476 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4704 loss: 1.4704 2022/06/28 10:16:56 - mmengine - INFO - Epoch(train) [58][1700/3757] lr: 1.000e-03 eta: 11:47:12 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 6.9121 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5468 loss: 1.5468 2022/06/28 10:17:02 - mmengine - INFO - Epoch(train) [58][1720/3757] lr: 1.000e-03 eta: 11:47:07 time: 0.212 data_time: 0.021 memory: 5148 grad_norm: 7.2759 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.5696 loss: 1.5696 2022/06/28 10:17:06 - mmengine - INFO - Epoch(train) [58][1740/3757] lr: 1.000e-03 eta: 11:47:01 time: 0.210 data_time: 0.011 memory: 5148 grad_norm: 7.6751 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2787 loss: 1.2787 2022/06/28 10:17:11 - mmengine - INFO - Epoch(train) [58][1760/3757] lr: 1.000e-03 eta: 11:46:56 time: 0.214 data_time: 0.010 memory: 5148 grad_norm: 7.8983 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7850 loss: 1.7850 2022/06/28 10:17:16 - mmengine - INFO - Epoch(train) [58][1780/3757] lr: 1.000e-03 eta: 11:46:50 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 6.4204 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4387 loss: 1.4387 2022/06/28 10:17:22 - mmengine - INFO - Epoch(train) [58][1800/3757] lr: 1.000e-03 eta: 11:46:45 time: 0.209 data_time: 0.014 memory: 5148 grad_norm: 6.8921 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3600 loss: 1.3600 2022/06/28 10:17:27 - mmengine - INFO - Epoch(train) [58][1820/3757] lr: 1.000e-03 eta: 11:46:40 time: 0.202 data_time: 0.017 memory: 5148 grad_norm: 7.0300 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6984 loss: 1.6984 2022/06/28 10:17:32 - mmengine - INFO - Epoch(train) [58][1840/3757] lr: 1.000e-03 eta: 11:46:34 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 7.6384 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4584 loss: 1.4584 2022/06/28 10:17:35 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 10:17:37 - mmengine - INFO - Epoch(train) [58][1860/3757] lr: 1.000e-03 eta: 11:46:29 time: 0.212 data_time: 0.014 memory: 5148 grad_norm: 7.7474 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7858 loss: 1.7858 2022/06/28 10:17:43 - mmengine - INFO - Epoch(train) [58][1880/3757] lr: 1.000e-03 eta: 11:46:24 time: 0.206 data_time: 0.014 memory: 5148 grad_norm: 7.5188 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7943 loss: 1.7943 2022/06/28 10:17:48 - mmengine - INFO - Epoch(train) [58][1900/3757] lr: 1.000e-03 eta: 11:46:18 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 7.4821 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2634 loss: 1.2634 2022/06/28 10:17:54 - mmengine - INFO - Epoch(train) [58][1920/3757] lr: 1.000e-03 eta: 11:46:13 time: 0.558 data_time: 0.013 memory: 5148 grad_norm: 6.8904 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4259 loss: 1.4259 2022/06/28 10:17:59 - mmengine - INFO - Epoch(train) [58][1940/3757] lr: 1.000e-03 eta: 11:46:08 time: 0.211 data_time: 0.027 memory: 5148 grad_norm: 6.7246 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1064 loss: 1.1064 2022/06/28 10:18:04 - mmengine - INFO - Epoch(train) [58][1960/3757] lr: 1.000e-03 eta: 11:46:02 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 7.3883 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5300 loss: 1.5300 2022/06/28 10:18:10 - mmengine - INFO - Epoch(train) [58][1980/3757] lr: 1.000e-03 eta: 11:45:57 time: 0.930 data_time: 0.008 memory: 5148 grad_norm: 7.7833 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4543 loss: 1.4543 2022/06/28 10:18:15 - mmengine - INFO - Epoch(train) [58][2000/3757] lr: 1.000e-03 eta: 11:45:52 time: 0.564 data_time: 0.382 memory: 5148 grad_norm: 6.8661 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4672 loss: 1.4672 2022/06/28 10:18:20 - mmengine - INFO - Epoch(train) [58][2020/3757] lr: 1.000e-03 eta: 11:45:46 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 6.5343 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2703 loss: 1.2703 2022/06/28 10:18:26 - mmengine - INFO - Epoch(train) [58][2040/3757] lr: 1.000e-03 eta: 11:45:41 time: 0.863 data_time: 0.007 memory: 5148 grad_norm: 6.5909 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2111 loss: 1.2111 2022/06/28 10:18:31 - mmengine - INFO - Epoch(train) [58][2060/3757] lr: 1.000e-03 eta: 11:45:36 time: 0.237 data_time: 0.053 memory: 5148 grad_norm: 8.1800 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8839 loss: 1.8839 2022/06/28 10:18:36 - mmengine - INFO - Epoch(train) [58][2080/3757] lr: 1.000e-03 eta: 11:45:30 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 7.5373 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2675 loss: 1.2675 2022/06/28 10:18:42 - mmengine - INFO - Epoch(train) [58][2100/3757] lr: 1.000e-03 eta: 11:45:25 time: 0.225 data_time: 0.006 memory: 5148 grad_norm: 7.2782 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3094 loss: 1.3094 2022/06/28 10:18:47 - mmengine - INFO - Epoch(train) [58][2120/3757] lr: 1.000e-03 eta: 11:45:20 time: 0.223 data_time: 0.039 memory: 5148 grad_norm: 6.6956 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3885 loss: 1.3885 2022/06/28 10:18:52 - mmengine - INFO - Epoch(train) [58][2140/3757] lr: 1.000e-03 eta: 11:45:14 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 7.7184 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3819 loss: 1.3819 2022/06/28 10:18:57 - mmengine - INFO - Epoch(train) [58][2160/3757] lr: 1.000e-03 eta: 11:45:09 time: 0.429 data_time: 0.008 memory: 5148 grad_norm: 6.4514 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8018 loss: 0.8018 2022/06/28 10:19:03 - mmengine - INFO - Epoch(train) [58][2180/3757] lr: 1.000e-03 eta: 11:45:04 time: 0.228 data_time: 0.041 memory: 5148 grad_norm: 6.7042 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5923 loss: 1.5923 2022/06/28 10:19:09 - mmengine - INFO - Epoch(train) [58][2200/3757] lr: 1.000e-03 eta: 11:44:59 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 6.6301 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2621 loss: 1.2621 2022/06/28 10:19:13 - mmengine - INFO - Epoch(train) [58][2220/3757] lr: 1.000e-03 eta: 11:44:53 time: 0.202 data_time: 0.012 memory: 5148 grad_norm: 8.2582 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2025 loss: 1.2025 2022/06/28 10:19:18 - mmengine - INFO - Epoch(train) [58][2240/3757] lr: 1.000e-03 eta: 11:44:48 time: 0.202 data_time: 0.026 memory: 5148 grad_norm: 7.7557 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3196 loss: 1.3196 2022/06/28 10:19:24 - mmengine - INFO - Epoch(train) [58][2260/3757] lr: 1.000e-03 eta: 11:44:43 time: 0.339 data_time: 0.010 memory: 5148 grad_norm: 6.9884 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4021 loss: 1.4021 2022/06/28 10:19:29 - mmengine - INFO - Epoch(train) [58][2280/3757] lr: 1.000e-03 eta: 11:44:37 time: 0.190 data_time: 0.010 memory: 5148 grad_norm: 7.1568 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2605 loss: 1.2605 2022/06/28 10:19:35 - mmengine - INFO - Epoch(train) [58][2300/3757] lr: 1.000e-03 eta: 11:44:32 time: 0.199 data_time: 0.025 memory: 5148 grad_norm: 7.5663 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4438 loss: 1.4438 2022/06/28 10:19:40 - mmengine - INFO - Epoch(train) [58][2320/3757] lr: 1.000e-03 eta: 11:44:27 time: 0.205 data_time: 0.023 memory: 5148 grad_norm: 8.0276 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.2746 loss: 1.2746 2022/06/28 10:19:45 - mmengine - INFO - Epoch(train) [58][2340/3757] lr: 1.000e-03 eta: 11:44:21 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 7.0659 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1823 loss: 1.1823 2022/06/28 10:19:51 - mmengine - INFO - Epoch(train) [58][2360/3757] lr: 1.000e-03 eta: 11:44:16 time: 0.210 data_time: 0.027 memory: 5148 grad_norm: 6.8669 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9759 loss: 0.9759 2022/06/28 10:19:56 - mmengine - INFO - Epoch(train) [58][2380/3757] lr: 1.000e-03 eta: 11:44:11 time: 0.206 data_time: 0.025 memory: 5148 grad_norm: 7.1503 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1557 loss: 1.1557 2022/06/28 10:20:02 - mmengine - INFO - Epoch(train) [58][2400/3757] lr: 1.000e-03 eta: 11:44:06 time: 0.201 data_time: 0.016 memory: 5148 grad_norm: 6.6064 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1773 loss: 1.1773 2022/06/28 10:20:06 - mmengine - INFO - Epoch(train) [58][2420/3757] lr: 1.000e-03 eta: 11:44:00 time: 0.207 data_time: 0.020 memory: 5148 grad_norm: 6.9936 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6643 loss: 1.6643 2022/06/28 10:20:12 - mmengine - INFO - Epoch(train) [58][2440/3757] lr: 1.000e-03 eta: 11:43:55 time: 0.216 data_time: 0.011 memory: 5148 grad_norm: 6.5835 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0763 loss: 1.0763 2022/06/28 10:20:17 - mmengine - INFO - Epoch(train) [58][2460/3757] lr: 1.000e-03 eta: 11:43:49 time: 0.205 data_time: 0.015 memory: 5148 grad_norm: 7.5637 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1575 loss: 1.1575 2022/06/28 10:20:22 - mmengine - INFO - Epoch(train) [58][2480/3757] lr: 1.000e-03 eta: 11:43:44 time: 0.200 data_time: 0.015 memory: 5148 grad_norm: 8.6673 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5613 loss: 1.5613 2022/06/28 10:20:28 - mmengine - INFO - Epoch(train) [58][2500/3757] lr: 1.000e-03 eta: 11:43:39 time: 0.213 data_time: 0.021 memory: 5148 grad_norm: 6.9623 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6634 loss: 1.6634 2022/06/28 10:20:34 - mmengine - INFO - Epoch(train) [58][2520/3757] lr: 1.000e-03 eta: 11:43:34 time: 0.196 data_time: 0.012 memory: 5148 grad_norm: 7.1184 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3918 loss: 1.3918 2022/06/28 10:20:40 - mmengine - INFO - Epoch(train) [58][2540/3757] lr: 1.000e-03 eta: 11:43:29 time: 0.285 data_time: 0.035 memory: 5148 grad_norm: 6.9787 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4740 loss: 1.4740 2022/06/28 10:20:44 - mmengine - INFO - Epoch(train) [58][2560/3757] lr: 1.000e-03 eta: 11:43:23 time: 0.364 data_time: 0.015 memory: 5148 grad_norm: 7.6013 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0440 loss: 1.0440 2022/06/28 10:20:49 - mmengine - INFO - Epoch(train) [58][2580/3757] lr: 1.000e-03 eta: 11:43:18 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.9223 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2754 loss: 1.2754 2022/06/28 10:20:55 - mmengine - INFO - Epoch(train) [58][2600/3757] lr: 1.000e-03 eta: 11:43:13 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.6884 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2988 loss: 1.2988 2022/06/28 10:21:00 - mmengine - INFO - Epoch(train) [58][2620/3757] lr: 1.000e-03 eta: 11:43:07 time: 0.208 data_time: 0.021 memory: 5148 grad_norm: 6.1650 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6132 loss: 1.6132 2022/06/28 10:21:05 - mmengine - INFO - Epoch(train) [58][2640/3757] lr: 1.000e-03 eta: 11:43:02 time: 0.201 data_time: 0.012 memory: 5148 grad_norm: 8.2574 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5261 loss: 1.5261 2022/06/28 10:21:11 - mmengine - INFO - Epoch(train) [58][2660/3757] lr: 1.000e-03 eta: 11:42:57 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 8.1416 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5471 loss: 1.5471 2022/06/28 10:21:16 - mmengine - INFO - Epoch(train) [58][2680/3757] lr: 1.000e-03 eta: 11:42:52 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 8.5636 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3430 loss: 1.3430 2022/06/28 10:21:22 - mmengine - INFO - Epoch(train) [58][2700/3757] lr: 1.000e-03 eta: 11:42:47 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 6.6031 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2586 loss: 1.2586 2022/06/28 10:21:26 - mmengine - INFO - Epoch(train) [58][2720/3757] lr: 1.000e-03 eta: 11:42:40 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 7.4552 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3030 loss: 1.3030 2022/06/28 10:21:32 - mmengine - INFO - Epoch(train) [58][2740/3757] lr: 1.000e-03 eta: 11:42:35 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 6.7436 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8155 loss: 1.8155 2022/06/28 10:21:36 - mmengine - INFO - Epoch(train) [58][2760/3757] lr: 1.000e-03 eta: 11:42:29 time: 0.194 data_time: 0.011 memory: 5148 grad_norm: 6.4452 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6042 loss: 1.6042 2022/06/28 10:21:42 - mmengine - INFO - Epoch(train) [58][2780/3757] lr: 1.000e-03 eta: 11:42:24 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 6.2156 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5902 loss: 1.5902 2022/06/28 10:21:48 - mmengine - INFO - Epoch(train) [58][2800/3757] lr: 1.000e-03 eta: 11:42:19 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 7.9577 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0785 loss: 1.0785 2022/06/28 10:21:53 - mmengine - INFO - Epoch(train) [58][2820/3757] lr: 1.000e-03 eta: 11:42:14 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.5734 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2270 loss: 1.2270 2022/06/28 10:21:59 - mmengine - INFO - Epoch(train) [58][2840/3757] lr: 1.000e-03 eta: 11:42:09 time: 0.210 data_time: 0.011 memory: 5148 grad_norm: 7.5563 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3256 loss: 1.3256 2022/06/28 10:22:02 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 10:22:04 - mmengine - INFO - Epoch(train) [58][2860/3757] lr: 1.000e-03 eta: 11:42:03 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 8.1171 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3444 loss: 1.3444 2022/06/28 10:22:09 - mmengine - INFO - Epoch(train) [58][2880/3757] lr: 1.000e-03 eta: 11:41:58 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 7.4981 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2124 loss: 1.2124 2022/06/28 10:22:14 - mmengine - INFO - Epoch(train) [58][2900/3757] lr: 1.000e-03 eta: 11:41:53 time: 0.198 data_time: 0.009 memory: 5148 grad_norm: 7.0251 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7924 loss: 1.7924 2022/06/28 10:22:21 - mmengine - INFO - Epoch(train) [58][2920/3757] lr: 1.000e-03 eta: 11:41:48 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 8.0738 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1767 loss: 1.1767 2022/06/28 10:22:25 - mmengine - INFO - Epoch(train) [58][2940/3757] lr: 1.000e-03 eta: 11:41:42 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 7.2153 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6826 loss: 1.6826 2022/06/28 10:22:29 - mmengine - INFO - Epoch(train) [58][2960/3757] lr: 1.000e-03 eta: 11:41:36 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 7.6377 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2758 loss: 1.2758 2022/06/28 10:22:34 - mmengine - INFO - Epoch(train) [58][2980/3757] lr: 1.000e-03 eta: 11:41:31 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 6.7756 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.8504 loss: 1.8504 2022/06/28 10:22:40 - mmengine - INFO - Epoch(train) [58][3000/3757] lr: 1.000e-03 eta: 11:41:25 time: 0.234 data_time: 0.039 memory: 5148 grad_norm: 7.3994 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5991 loss: 1.5991 2022/06/28 10:22:45 - mmengine - INFO - Epoch(train) [58][3020/3757] lr: 1.000e-03 eta: 11:41:20 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 7.3951 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3460 loss: 1.3460 2022/06/28 10:22:50 - mmengine - INFO - Epoch(train) [58][3040/3757] lr: 1.000e-03 eta: 11:41:15 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 7.8227 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3854 loss: 1.3854 2022/06/28 10:22:55 - mmengine - INFO - Epoch(train) [58][3060/3757] lr: 1.000e-03 eta: 11:41:09 time: 0.562 data_time: 0.010 memory: 5148 grad_norm: 8.5426 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5165 loss: 1.5165 2022/06/28 10:23:01 - mmengine - INFO - Epoch(train) [58][3080/3757] lr: 1.000e-03 eta: 11:41:04 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 6.6826 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2023 loss: 1.2023 2022/06/28 10:23:06 - mmengine - INFO - Epoch(train) [58][3100/3757] lr: 1.000e-03 eta: 11:40:58 time: 0.212 data_time: 0.008 memory: 5148 grad_norm: 7.9961 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3981 loss: 1.3981 2022/06/28 10:23:11 - mmengine - INFO - Epoch(train) [58][3120/3757] lr: 1.000e-03 eta: 11:40:53 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 8.4701 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4293 loss: 1.4293 2022/06/28 10:23:17 - mmengine - INFO - Epoch(train) [58][3140/3757] lr: 1.000e-03 eta: 11:40:48 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 7.6827 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4995 loss: 1.4995 2022/06/28 10:23:22 - mmengine - INFO - Epoch(train) [58][3160/3757] lr: 1.000e-03 eta: 11:40:43 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 6.5192 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5461 loss: 1.5461 2022/06/28 10:23:28 - mmengine - INFO - Epoch(train) [58][3180/3757] lr: 1.000e-03 eta: 11:40:38 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 6.8239 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9126 loss: 0.9126 2022/06/28 10:23:33 - mmengine - INFO - Epoch(train) [58][3200/3757] lr: 1.000e-03 eta: 11:40:32 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 6.5089 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0293 loss: 1.0293 2022/06/28 10:23:38 - mmengine - INFO - Epoch(train) [58][3220/3757] lr: 1.000e-03 eta: 11:40:27 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 7.1915 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0969 loss: 1.0969 2022/06/28 10:23:44 - mmengine - INFO - Epoch(train) [58][3240/3757] lr: 1.000e-03 eta: 11:40:22 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.7787 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0342 loss: 1.0342 2022/06/28 10:23:49 - mmengine - INFO - Epoch(train) [58][3260/3757] lr: 1.000e-03 eta: 11:40:17 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 7.2062 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6216 loss: 1.6216 2022/06/28 10:23:54 - mmengine - INFO - Epoch(train) [58][3280/3757] lr: 1.000e-03 eta: 11:40:11 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 6.4021 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3700 loss: 1.3700 2022/06/28 10:24:00 - mmengine - INFO - Epoch(train) [58][3300/3757] lr: 1.000e-03 eta: 11:40:06 time: 0.211 data_time: 0.008 memory: 5148 grad_norm: 8.0741 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5508 loss: 1.5508 2022/06/28 10:24:05 - mmengine - INFO - Epoch(train) [58][3320/3757] lr: 1.000e-03 eta: 11:40:01 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.8124 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4887 loss: 1.4887 2022/06/28 10:24:11 - mmengine - INFO - Epoch(train) [58][3340/3757] lr: 1.000e-03 eta: 11:39:55 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 7.9389 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1732 loss: 1.1732 2022/06/28 10:24:16 - mmengine - INFO - Epoch(train) [58][3360/3757] lr: 1.000e-03 eta: 11:39:50 time: 0.221 data_time: 0.007 memory: 5148 grad_norm: 7.3759 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4204 loss: 1.4204 2022/06/28 10:24:22 - mmengine - INFO - Epoch(train) [58][3380/3757] lr: 1.000e-03 eta: 11:39:45 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 8.2892 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4881 loss: 1.4881 2022/06/28 10:24:27 - mmengine - INFO - Epoch(train) [58][3400/3757] lr: 1.000e-03 eta: 11:39:39 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 7.2383 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7371 loss: 1.7371 2022/06/28 10:24:33 - mmengine - INFO - Epoch(train) [58][3420/3757] lr: 1.000e-03 eta: 11:39:35 time: 0.212 data_time: 0.013 memory: 5148 grad_norm: 7.3636 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2196 loss: 1.2196 2022/06/28 10:24:37 - mmengine - INFO - Epoch(train) [58][3440/3757] lr: 1.000e-03 eta: 11:39:29 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.6767 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3375 loss: 1.3375 2022/06/28 10:24:43 - mmengine - INFO - Epoch(train) [58][3460/3757] lr: 1.000e-03 eta: 11:39:24 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.6120 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3691 loss: 1.3691 2022/06/28 10:24:48 - mmengine - INFO - Epoch(train) [58][3480/3757] lr: 1.000e-03 eta: 11:39:18 time: 0.209 data_time: 0.011 memory: 5148 grad_norm: 7.9669 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8153 loss: 1.8153 2022/06/28 10:24:53 - mmengine - INFO - Epoch(train) [58][3500/3757] lr: 1.000e-03 eta: 11:39:13 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 5.6959 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2784 loss: 1.2784 2022/06/28 10:24:59 - mmengine - INFO - Epoch(train) [58][3520/3757] lr: 1.000e-03 eta: 11:39:08 time: 0.352 data_time: 0.011 memory: 5148 grad_norm: 8.6263 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6188 loss: 1.6188 2022/06/28 10:25:05 - mmengine - INFO - Epoch(train) [58][3540/3757] lr: 1.000e-03 eta: 11:39:03 time: 0.199 data_time: 0.012 memory: 5148 grad_norm: 6.4941 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5606 loss: 1.5606 2022/06/28 10:25:10 - mmengine - INFO - Epoch(train) [58][3560/3757] lr: 1.000e-03 eta: 11:38:57 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 8.5954 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4902 loss: 1.4902 2022/06/28 10:25:16 - mmengine - INFO - Epoch(train) [58][3580/3757] lr: 1.000e-03 eta: 11:38:52 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 9.3977 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5675 loss: 1.5675 2022/06/28 10:25:21 - mmengine - INFO - Epoch(train) [58][3600/3757] lr: 1.000e-03 eta: 11:38:47 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 6.9596 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6879 loss: 1.6879 2022/06/28 10:25:25 - mmengine - INFO - Epoch(train) [58][3620/3757] lr: 1.000e-03 eta: 11:38:41 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 5.5827 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7699 loss: 1.7699 2022/06/28 10:25:31 - mmengine - INFO - Epoch(train) [58][3640/3757] lr: 1.000e-03 eta: 11:38:36 time: 0.197 data_time: 0.015 memory: 5148 grad_norm: 7.2859 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3035 loss: 1.3035 2022/06/28 10:25:36 - mmengine - INFO - Epoch(train) [58][3660/3757] lr: 1.000e-03 eta: 11:38:31 time: 0.205 data_time: 0.009 memory: 5148 grad_norm: 7.8513 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4732 loss: 1.4732 2022/06/28 10:25:41 - mmengine - INFO - Epoch(train) [58][3680/3757] lr: 1.000e-03 eta: 11:38:25 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 6.4687 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0178 loss: 1.0178 2022/06/28 10:25:46 - mmengine - INFO - Epoch(train) [58][3700/3757] lr: 1.000e-03 eta: 11:38:20 time: 0.197 data_time: 0.012 memory: 5148 grad_norm: 7.0417 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4388 loss: 1.4388 2022/06/28 10:25:52 - mmengine - INFO - Epoch(train) [58][3720/3757] lr: 1.000e-03 eta: 11:38:14 time: 0.204 data_time: 0.015 memory: 5148 grad_norm: 6.9060 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2020 loss: 1.2020 2022/06/28 10:25:57 - mmengine - INFO - Epoch(train) [58][3740/3757] lr: 1.000e-03 eta: 11:38:09 time: 0.205 data_time: 0.014 memory: 5148 grad_norm: 6.5482 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5549 loss: 1.5549 2022/06/28 10:26:01 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 10:26:08 - mmengine - INFO - Epoch(val) [58][20/310] eta: 0:01:11 time: 0.297 data_time: 0.222 memory: 5148 2022/06/28 10:26:12 - mmengine - INFO - Epoch(val) [58][40/310] eta: 0:01:01 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 10:26:18 - mmengine - INFO - Epoch(val) [58][60/310] eta: 0:00:52 time: 0.079 data_time: 0.008 memory: 1367 2022/06/28 10:26:23 - mmengine - INFO - Epoch(val) [58][80/310] eta: 0:01:00 time: 0.267 data_time: 0.196 memory: 1367 2022/06/28 10:26:28 - mmengine - INFO - Epoch(val) [58][100/310] eta: 0:00:46 time: 0.084 data_time: 0.008 memory: 1367 2022/06/28 10:26:33 - mmengine - INFO - Epoch(val) [58][120/310] eta: 0:00:49 time: 0.474 data_time: 0.401 memory: 1367 2022/06/28 10:26:39 - mmengine - INFO - Epoch(val) [58][140/310] eta: 0:00:49 time: 0.727 data_time: 0.655 memory: 1367 2022/06/28 10:26:44 - mmengine - INFO - Epoch(val) [58][160/310] eta: 0:00:43 time: 0.915 data_time: 0.838 memory: 1367 2022/06/28 10:26:50 - mmengine - INFO - Epoch(val) [58][180/310] eta: 0:00:42 time: 0.906 data_time: 0.829 memory: 1367 2022/06/28 10:26:55 - mmengine - INFO - Epoch(val) [58][200/310] eta: 0:00:30 time: 0.501 data_time: 0.425 memory: 1367 2022/06/28 10:27:00 - mmengine - INFO - Epoch(val) [58][220/310] eta: 0:00:31 time: 0.401 data_time: 0.331 memory: 1367 2022/06/28 10:27:05 - mmengine - INFO - Epoch(val) [58][240/310] eta: 0:00:15 time: 0.084 data_time: 0.012 memory: 1367 2022/06/28 10:27:11 - mmengine - INFO - Epoch(val) [58][260/310] eta: 0:00:18 time: 0.243 data_time: 0.167 memory: 1367 2022/06/28 10:27:16 - mmengine - INFO - Epoch(val) [58][280/310] eta: 0:00:07 time: 0.390 data_time: 0.318 memory: 1367 2022/06/28 10:27:21 - mmengine - INFO - Epoch(val) [58][300/310] eta: 0:00:03 time: 0.421 data_time: 0.349 memory: 1367 2022/06/28 10:27:24 - mmengine - INFO - Epoch(val) [58][310/310] acc/top1: 0.6446 acc/top5: 0.8540 acc/mean1: 0.6445 2022/06/28 10:27:33 - mmengine - INFO - Epoch(train) [59][20/3757] lr: 1.000e-03 eta: 11:37:59 time: 0.192 data_time: 0.008 memory: 5148 grad_norm: 7.3475 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4312 loss: 1.4312 2022/06/28 10:27:39 - mmengine - INFO - Epoch(train) [59][40/3757] lr: 1.000e-03 eta: 11:37:54 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 7.1639 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1525 loss: 1.1525 2022/06/28 10:27:43 - mmengine - INFO - Epoch(train) [59][60/3757] lr: 1.000e-03 eta: 11:37:49 time: 0.197 data_time: 0.009 memory: 5148 grad_norm: 7.5049 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2420 loss: 1.2420 2022/06/28 10:27:49 - mmengine - INFO - Epoch(train) [59][80/3757] lr: 1.000e-03 eta: 11:37:44 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 6.7409 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2421 loss: 1.2421 2022/06/28 10:27:53 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 10:27:55 - mmengine - INFO - Epoch(train) [59][100/3757] lr: 1.000e-03 eta: 11:37:39 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 7.8687 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1812 loss: 1.1812 2022/06/28 10:28:00 - mmengine - INFO - Epoch(train) [59][120/3757] lr: 1.000e-03 eta: 11:37:33 time: 0.217 data_time: 0.029 memory: 5148 grad_norm: 6.4179 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2713 loss: 1.2713 2022/06/28 10:28:05 - mmengine - INFO - Epoch(train) [59][140/3757] lr: 1.000e-03 eta: 11:37:28 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.7816 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0807 loss: 1.0807 2022/06/28 10:28:11 - mmengine - INFO - Epoch(train) [59][160/3757] lr: 1.000e-03 eta: 11:37:23 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 7.4052 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4560 loss: 1.4560 2022/06/28 10:28:16 - mmengine - INFO - Epoch(train) [59][180/3757] lr: 1.000e-03 eta: 11:37:17 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 8.2368 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1612 loss: 1.1612 2022/06/28 10:28:22 - mmengine - INFO - Epoch(train) [59][200/3757] lr: 1.000e-03 eta: 11:37:13 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 7.8057 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2178 loss: 1.2178 2022/06/28 10:28:27 - mmengine - INFO - Epoch(train) [59][220/3757] lr: 1.000e-03 eta: 11:37:07 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 7.1701 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9990 loss: 0.9990 2022/06/28 10:28:32 - mmengine - INFO - Epoch(train) [59][240/3757] lr: 1.000e-03 eta: 11:37:02 time: 0.192 data_time: 0.014 memory: 5148 grad_norm: 8.0257 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2533 loss: 1.2533 2022/06/28 10:28:38 - mmengine - INFO - Epoch(train) [59][260/3757] lr: 1.000e-03 eta: 11:36:56 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 7.3781 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7259 loss: 1.7259 2022/06/28 10:28:43 - mmengine - INFO - Epoch(train) [59][280/3757] lr: 1.000e-03 eta: 11:36:51 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 8.8543 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2147 loss: 1.2147 2022/06/28 10:28:49 - mmengine - INFO - Epoch(train) [59][300/3757] lr: 1.000e-03 eta: 11:36:46 time: 0.202 data_time: 0.012 memory: 5148 grad_norm: 7.0473 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2766 loss: 1.2766 2022/06/28 10:28:54 - mmengine - INFO - Epoch(train) [59][320/3757] lr: 1.000e-03 eta: 11:36:41 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 7.8824 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3705 loss: 1.3705 2022/06/28 10:29:00 - mmengine - INFO - Epoch(train) [59][340/3757] lr: 1.000e-03 eta: 11:36:36 time: 0.284 data_time: 0.007 memory: 5148 grad_norm: 6.2094 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5109 loss: 1.5109 2022/06/28 10:29:05 - mmengine - INFO - Epoch(train) [59][360/3757] lr: 1.000e-03 eta: 11:36:30 time: 0.207 data_time: 0.011 memory: 5148 grad_norm: 7.7933 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6313 loss: 1.6313 2022/06/28 10:29:10 - mmengine - INFO - Epoch(train) [59][380/3757] lr: 1.000e-03 eta: 11:36:25 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 5.9532 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4969 loss: 1.4969 2022/06/28 10:29:15 - mmengine - INFO - Epoch(train) [59][400/3757] lr: 1.000e-03 eta: 11:36:20 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 7.0161 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2387 loss: 1.2387 2022/06/28 10:29:20 - mmengine - INFO - Epoch(train) [59][420/3757] lr: 1.000e-03 eta: 11:36:14 time: 0.202 data_time: 0.012 memory: 5148 grad_norm: 7.5385 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2121 loss: 1.2121 2022/06/28 10:29:26 - mmengine - INFO - Epoch(train) [59][440/3757] lr: 1.000e-03 eta: 11:36:09 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 8.1950 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5976 loss: 1.5976 2022/06/28 10:29:31 - mmengine - INFO - Epoch(train) [59][460/3757] lr: 1.000e-03 eta: 11:36:04 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 8.1394 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4637 loss: 1.4637 2022/06/28 10:29:36 - mmengine - INFO - Epoch(train) [59][480/3757] lr: 1.000e-03 eta: 11:35:58 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 7.7323 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2448 loss: 1.2448 2022/06/28 10:29:42 - mmengine - INFO - Epoch(train) [59][500/3757] lr: 1.000e-03 eta: 11:35:53 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.8976 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5156 loss: 1.5156 2022/06/28 10:29:47 - mmengine - INFO - Epoch(train) [59][520/3757] lr: 1.000e-03 eta: 11:35:48 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 6.4560 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2424 loss: 1.2424 2022/06/28 10:29:52 - mmengine - INFO - Epoch(train) [59][540/3757] lr: 1.000e-03 eta: 11:35:42 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 8.0792 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4692 loss: 1.4692 2022/06/28 10:29:57 - mmengine - INFO - Epoch(train) [59][560/3757] lr: 1.000e-03 eta: 11:35:37 time: 0.209 data_time: 0.014 memory: 5148 grad_norm: 6.9836 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6635 loss: 1.6635 2022/06/28 10:30:02 - mmengine - INFO - Epoch(train) [59][580/3757] lr: 1.000e-03 eta: 11:35:31 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 7.8734 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4903 loss: 1.4903 2022/06/28 10:30:07 - mmengine - INFO - Epoch(train) [59][600/3757] lr: 1.000e-03 eta: 11:35:26 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 6.7283 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5573 loss: 1.5573 2022/06/28 10:30:13 - mmengine - INFO - Epoch(train) [59][620/3757] lr: 1.000e-03 eta: 11:35:21 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 7.5957 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3264 loss: 1.3264 2022/06/28 10:30:19 - mmengine - INFO - Epoch(train) [59][640/3757] lr: 1.000e-03 eta: 11:35:15 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 7.6611 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3300 loss: 1.3300 2022/06/28 10:30:23 - mmengine - INFO - Epoch(train) [59][660/3757] lr: 1.000e-03 eta: 11:35:10 time: 0.198 data_time: 0.013 memory: 5148 grad_norm: 6.6944 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1714 loss: 1.1714 2022/06/28 10:30:29 - mmengine - INFO - Epoch(train) [59][680/3757] lr: 1.000e-03 eta: 11:35:05 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 8.4930 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6950 loss: 1.6950 2022/06/28 10:30:34 - mmengine - INFO - Epoch(train) [59][700/3757] lr: 1.000e-03 eta: 11:34:59 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 7.2220 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6042 loss: 1.6042 2022/06/28 10:30:39 - mmengine - INFO - Epoch(train) [59][720/3757] lr: 1.000e-03 eta: 11:34:54 time: 0.213 data_time: 0.010 memory: 5148 grad_norm: 6.9533 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1685 loss: 1.1685 2022/06/28 10:30:45 - mmengine - INFO - Epoch(train) [59][740/3757] lr: 1.000e-03 eta: 11:34:48 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 5.6508 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1624 loss: 1.1624 2022/06/28 10:30:50 - mmengine - INFO - Epoch(train) [59][760/3757] lr: 1.000e-03 eta: 11:34:43 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 7.2769 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3095 loss: 1.3095 2022/06/28 10:30:55 - mmengine - INFO - Epoch(train) [59][780/3757] lr: 1.000e-03 eta: 11:34:38 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 7.2775 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2770 loss: 1.2770 2022/06/28 10:31:00 - mmengine - INFO - Epoch(train) [59][800/3757] lr: 1.000e-03 eta: 11:34:32 time: 0.201 data_time: 0.015 memory: 5148 grad_norm: 7.6432 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3792 loss: 1.3792 2022/06/28 10:31:06 - mmengine - INFO - Epoch(train) [59][820/3757] lr: 1.000e-03 eta: 11:34:27 time: 0.197 data_time: 0.009 memory: 5148 grad_norm: 8.2420 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2871 loss: 1.2871 2022/06/28 10:31:11 - mmengine - INFO - Epoch(train) [59][840/3757] lr: 1.000e-03 eta: 11:34:22 time: 0.205 data_time: 0.015 memory: 5148 grad_norm: 9.0141 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2862 loss: 1.2862 2022/06/28 10:31:17 - mmengine - INFO - Epoch(train) [59][860/3757] lr: 1.000e-03 eta: 11:34:17 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 6.7161 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2642 loss: 1.2642 2022/06/28 10:31:22 - mmengine - INFO - Epoch(train) [59][880/3757] lr: 1.000e-03 eta: 11:34:12 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 7.6475 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2394 loss: 1.2394 2022/06/28 10:31:28 - mmengine - INFO - Epoch(train) [59][900/3757] lr: 1.000e-03 eta: 11:34:06 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 7.3592 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2692 loss: 1.2692 2022/06/28 10:31:33 - mmengine - INFO - Epoch(train) [59][920/3757] lr: 1.000e-03 eta: 11:34:01 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 7.7683 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4884 loss: 1.4884 2022/06/28 10:31:38 - mmengine - INFO - Epoch(train) [59][940/3757] lr: 1.000e-03 eta: 11:33:56 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 7.3656 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4207 loss: 1.4207 2022/06/28 10:31:44 - mmengine - INFO - Epoch(train) [59][960/3757] lr: 1.000e-03 eta: 11:33:50 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 8.3015 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2945 loss: 1.2945 2022/06/28 10:31:49 - mmengine - INFO - Epoch(train) [59][980/3757] lr: 1.000e-03 eta: 11:33:45 time: 0.223 data_time: 0.014 memory: 5148 grad_norm: 7.3459 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5498 loss: 1.5498 2022/06/28 10:31:54 - mmengine - INFO - Epoch(train) [59][1000/3757] lr: 1.000e-03 eta: 11:33:40 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 8.4815 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4175 loss: 1.4175 2022/06/28 10:32:00 - mmengine - INFO - Epoch(train) [59][1020/3757] lr: 1.000e-03 eta: 11:33:35 time: 0.226 data_time: 0.007 memory: 5148 grad_norm: 5.8280 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6473 loss: 1.6473 2022/06/28 10:32:05 - mmengine - INFO - Epoch(train) [59][1040/3757] lr: 1.000e-03 eta: 11:33:29 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 7.4676 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3418 loss: 1.3418 2022/06/28 10:32:10 - mmengine - INFO - Epoch(train) [59][1060/3757] lr: 1.000e-03 eta: 11:33:24 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 6.7305 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3234 loss: 1.3234 2022/06/28 10:32:15 - mmengine - INFO - Epoch(train) [59][1080/3757] lr: 1.000e-03 eta: 11:33:18 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 6.8648 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9523 loss: 0.9523 2022/06/28 10:32:18 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 10:32:20 - mmengine - INFO - Epoch(train) [59][1100/3757] lr: 1.000e-03 eta: 11:33:13 time: 0.218 data_time: 0.008 memory: 5148 grad_norm: 7.5785 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1500 loss: 1.1500 2022/06/28 10:32:26 - mmengine - INFO - Epoch(train) [59][1120/3757] lr: 1.000e-03 eta: 11:33:08 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 6.8018 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1886 loss: 1.1886 2022/06/28 10:32:31 - mmengine - INFO - Epoch(train) [59][1140/3757] lr: 1.000e-03 eta: 11:33:03 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 7.0197 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4002 loss: 1.4002 2022/06/28 10:32:36 - mmengine - INFO - Epoch(train) [59][1160/3757] lr: 1.000e-03 eta: 11:32:57 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 7.9625 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5047 loss: 1.5047 2022/06/28 10:32:42 - mmengine - INFO - Epoch(train) [59][1180/3757] lr: 1.000e-03 eta: 11:32:52 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 7.2163 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3115 loss: 1.3115 2022/06/28 10:32:47 - mmengine - INFO - Epoch(train) [59][1200/3757] lr: 1.000e-03 eta: 11:32:47 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.8055 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5321 loss: 1.5321 2022/06/28 10:32:52 - mmengine - INFO - Epoch(train) [59][1220/3757] lr: 1.000e-03 eta: 11:32:41 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 7.0041 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2738 loss: 1.2738 2022/06/28 10:32:58 - mmengine - INFO - Epoch(train) [59][1240/3757] lr: 1.000e-03 eta: 11:32:36 time: 0.299 data_time: 0.008 memory: 5148 grad_norm: 7.7340 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6284 loss: 1.6284 2022/06/28 10:33:03 - mmengine - INFO - Epoch(train) [59][1260/3757] lr: 1.000e-03 eta: 11:32:31 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 6.9372 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5020 loss: 1.5020 2022/06/28 10:33:08 - mmengine - INFO - Epoch(train) [59][1280/3757] lr: 1.000e-03 eta: 11:32:25 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.8737 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5242 loss: 1.5242 2022/06/28 10:33:14 - mmengine - INFO - Epoch(train) [59][1300/3757] lr: 1.000e-03 eta: 11:32:20 time: 0.475 data_time: 0.008 memory: 5148 grad_norm: 6.1962 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4139 loss: 1.4139 2022/06/28 10:33:19 - mmengine - INFO - Epoch(train) [59][1320/3757] lr: 1.000e-03 eta: 11:32:15 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 7.9414 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5885 loss: 1.5885 2022/06/28 10:33:24 - mmengine - INFO - Epoch(train) [59][1340/3757] lr: 1.000e-03 eta: 11:32:09 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 6.9938 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4736 loss: 1.4736 2022/06/28 10:33:30 - mmengine - INFO - Epoch(train) [59][1360/3757] lr: 1.000e-03 eta: 11:32:04 time: 0.310 data_time: 0.007 memory: 5148 grad_norm: 7.1416 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5712 loss: 1.5712 2022/06/28 10:33:35 - mmengine - INFO - Epoch(train) [59][1380/3757] lr: 1.000e-03 eta: 11:31:59 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 7.3308 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4618 loss: 1.4618 2022/06/28 10:33:41 - mmengine - INFO - Epoch(train) [59][1400/3757] lr: 1.000e-03 eta: 11:31:54 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 7.0033 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1187 loss: 1.1187 2022/06/28 10:33:46 - mmengine - INFO - Epoch(train) [59][1420/3757] lr: 1.000e-03 eta: 11:31:48 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 6.6414 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3111 loss: 1.3111 2022/06/28 10:33:52 - mmengine - INFO - Epoch(train) [59][1440/3757] lr: 1.000e-03 eta: 11:31:43 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 7.2403 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4399 loss: 1.4399 2022/06/28 10:33:56 - mmengine - INFO - Epoch(train) [59][1460/3757] lr: 1.000e-03 eta: 11:31:38 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.8112 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4684 loss: 1.4684 2022/06/28 10:34:03 - mmengine - INFO - Epoch(train) [59][1480/3757] lr: 1.000e-03 eta: 11:31:33 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 7.0331 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3181 loss: 1.3181 2022/06/28 10:34:07 - mmengine - INFO - Epoch(train) [59][1500/3757] lr: 1.000e-03 eta: 11:31:27 time: 0.212 data_time: 0.011 memory: 5148 grad_norm: 6.1012 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5670 loss: 1.5670 2022/06/28 10:34:13 - mmengine - INFO - Epoch(train) [59][1520/3757] lr: 1.000e-03 eta: 11:31:22 time: 0.208 data_time: 0.010 memory: 5148 grad_norm: 8.1309 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8107 loss: 1.8107 2022/06/28 10:34:18 - mmengine - INFO - Epoch(train) [59][1540/3757] lr: 1.000e-03 eta: 11:31:17 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 7.4127 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0314 loss: 1.0314 2022/06/28 10:34:24 - mmengine - INFO - Epoch(train) [59][1560/3757] lr: 1.000e-03 eta: 11:31:11 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 7.0410 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3314 loss: 1.3314 2022/06/28 10:34:29 - mmengine - INFO - Epoch(train) [59][1580/3757] lr: 1.000e-03 eta: 11:31:06 time: 0.205 data_time: 0.005 memory: 5148 grad_norm: 6.8225 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2710 loss: 1.2710 2022/06/28 10:34:34 - mmengine - INFO - Epoch(train) [59][1600/3757] lr: 1.000e-03 eta: 11:31:00 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 6.2631 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3640 loss: 1.3640 2022/06/28 10:34:40 - mmengine - INFO - Epoch(train) [59][1620/3757] lr: 1.000e-03 eta: 11:30:56 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.8850 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0838 loss: 1.0838 2022/06/28 10:34:44 - mmengine - INFO - Epoch(train) [59][1640/3757] lr: 1.000e-03 eta: 11:30:50 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.7781 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0905 loss: 1.0905 2022/06/28 10:34:50 - mmengine - INFO - Epoch(train) [59][1660/3757] lr: 1.000e-03 eta: 11:30:45 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 6.9873 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6026 loss: 1.6026 2022/06/28 10:34:55 - mmengine - INFO - Epoch(train) [59][1680/3757] lr: 1.000e-03 eta: 11:30:39 time: 0.198 data_time: 0.013 memory: 5148 grad_norm: 7.1873 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4662 loss: 1.4662 2022/06/28 10:35:00 - mmengine - INFO - Epoch(train) [59][1700/3757] lr: 1.000e-03 eta: 11:30:34 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 7.0289 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2274 loss: 1.2274 2022/06/28 10:35:06 - mmengine - INFO - Epoch(train) [59][1720/3757] lr: 1.000e-03 eta: 11:30:29 time: 0.264 data_time: 0.011 memory: 5148 grad_norm: 7.9389 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3518 loss: 1.3518 2022/06/28 10:35:11 - mmengine - INFO - Epoch(train) [59][1740/3757] lr: 1.000e-03 eta: 11:30:24 time: 0.206 data_time: 0.013 memory: 5148 grad_norm: 7.1493 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3994 loss: 1.3994 2022/06/28 10:35:16 - mmengine - INFO - Epoch(train) [59][1760/3757] lr: 1.000e-03 eta: 11:30:18 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 6.3850 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1557 loss: 1.1557 2022/06/28 10:35:22 - mmengine - INFO - Epoch(train) [59][1780/3757] lr: 1.000e-03 eta: 11:30:13 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 8.7808 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7161 loss: 1.7161 2022/06/28 10:35:27 - mmengine - INFO - Epoch(train) [59][1800/3757] lr: 1.000e-03 eta: 11:30:07 time: 0.206 data_time: 0.017 memory: 5148 grad_norm: 8.0919 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1284 loss: 1.1284 2022/06/28 10:35:32 - mmengine - INFO - Epoch(train) [59][1820/3757] lr: 1.000e-03 eta: 11:30:02 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 7.5280 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7047 loss: 1.7047 2022/06/28 10:35:38 - mmengine - INFO - Epoch(train) [59][1840/3757] lr: 1.000e-03 eta: 11:29:57 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 7.2561 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5785 loss: 1.5785 2022/06/28 10:35:43 - mmengine - INFO - Epoch(train) [59][1860/3757] lr: 1.000e-03 eta: 11:29:51 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 7.7565 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5946 loss: 1.5946 2022/06/28 10:35:49 - mmengine - INFO - Epoch(train) [59][1880/3757] lr: 1.000e-03 eta: 11:29:46 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 7.4035 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1764 loss: 1.1764 2022/06/28 10:35:54 - mmengine - INFO - Epoch(train) [59][1900/3757] lr: 1.000e-03 eta: 11:29:41 time: 0.580 data_time: 0.007 memory: 5148 grad_norm: 6.9141 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2804 loss: 1.2804 2022/06/28 10:35:59 - mmengine - INFO - Epoch(train) [59][1920/3757] lr: 1.000e-03 eta: 11:29:36 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 7.2680 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3040 loss: 1.3040 2022/06/28 10:36:05 - mmengine - INFO - Epoch(train) [59][1940/3757] lr: 1.000e-03 eta: 11:29:31 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 7.9531 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4253 loss: 1.4253 2022/06/28 10:36:11 - mmengine - INFO - Epoch(train) [59][1960/3757] lr: 1.000e-03 eta: 11:29:26 time: 0.732 data_time: 0.007 memory: 5148 grad_norm: 6.7687 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0625 loss: 1.0625 2022/06/28 10:36:15 - mmengine - INFO - Epoch(train) [59][1980/3757] lr: 1.000e-03 eta: 11:29:20 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 7.0532 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5608 loss: 1.5608 2022/06/28 10:36:21 - mmengine - INFO - Epoch(train) [59][2000/3757] lr: 1.000e-03 eta: 11:29:15 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 7.2706 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4017 loss: 1.4017 2022/06/28 10:36:26 - mmengine - INFO - Epoch(train) [59][2020/3757] lr: 1.000e-03 eta: 11:29:10 time: 0.379 data_time: 0.007 memory: 5148 grad_norm: 7.4995 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4830 loss: 1.4830 2022/06/28 10:36:31 - mmengine - INFO - Epoch(train) [59][2040/3757] lr: 1.000e-03 eta: 11:29:04 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 7.9053 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4046 loss: 1.4046 2022/06/28 10:36:37 - mmengine - INFO - Epoch(train) [59][2060/3757] lr: 1.000e-03 eta: 11:28:59 time: 0.220 data_time: 0.007 memory: 5148 grad_norm: 7.1348 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0374 loss: 1.0374 2022/06/28 10:36:42 - mmengine - INFO - Epoch(train) [59][2080/3757] lr: 1.000e-03 eta: 11:28:53 time: 0.288 data_time: 0.007 memory: 5148 grad_norm: 6.0102 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1598 loss: 1.1598 2022/06/28 10:36:45 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 10:36:47 - mmengine - INFO - Epoch(train) [59][2100/3757] lr: 1.000e-03 eta: 11:28:48 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 7.4491 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5600 loss: 1.5600 2022/06/28 10:36:53 - mmengine - INFO - Epoch(train) [59][2120/3757] lr: 1.000e-03 eta: 11:28:43 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 7.0704 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4554 loss: 1.4554 2022/06/28 10:36:58 - mmengine - INFO - Epoch(train) [59][2140/3757] lr: 1.000e-03 eta: 11:28:38 time: 0.802 data_time: 0.007 memory: 5148 grad_norm: 7.0567 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5834 loss: 1.5834 2022/06/28 10:37:03 - mmengine - INFO - Epoch(train) [59][2160/3757] lr: 1.000e-03 eta: 11:28:32 time: 0.212 data_time: 0.008 memory: 5148 grad_norm: 7.0507 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3707 loss: 1.3707 2022/06/28 10:37:09 - mmengine - INFO - Epoch(train) [59][2180/3757] lr: 1.000e-03 eta: 11:28:27 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 7.2446 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6000 loss: 1.6000 2022/06/28 10:37:15 - mmengine - INFO - Epoch(train) [59][2200/3757] lr: 1.000e-03 eta: 11:28:22 time: 0.978 data_time: 0.007 memory: 5148 grad_norm: 8.5545 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4797 loss: 1.4797 2022/06/28 10:37:20 - mmengine - INFO - Epoch(train) [59][2220/3757] lr: 1.000e-03 eta: 11:28:16 time: 0.213 data_time: 0.010 memory: 5148 grad_norm: 7.3022 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4514 loss: 1.4514 2022/06/28 10:37:25 - mmengine - INFO - Epoch(train) [59][2240/3757] lr: 1.000e-03 eta: 11:28:11 time: 0.212 data_time: 0.014 memory: 5148 grad_norm: 6.9039 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4536 loss: 1.4536 2022/06/28 10:37:30 - mmengine - INFO - Epoch(train) [59][2260/3757] lr: 1.000e-03 eta: 11:28:06 time: 0.769 data_time: 0.007 memory: 5148 grad_norm: 7.4625 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4182 loss: 1.4182 2022/06/28 10:37:35 - mmengine - INFO - Epoch(train) [59][2280/3757] lr: 1.000e-03 eta: 11:28:00 time: 0.311 data_time: 0.010 memory: 5148 grad_norm: 7.0162 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7335 loss: 1.7335 2022/06/28 10:37:41 - mmengine - INFO - Epoch(train) [59][2300/3757] lr: 1.000e-03 eta: 11:27:55 time: 0.383 data_time: 0.015 memory: 5148 grad_norm: 7.1998 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1549 loss: 1.1549 2022/06/28 10:37:46 - mmengine - INFO - Epoch(train) [59][2320/3757] lr: 1.000e-03 eta: 11:27:50 time: 0.506 data_time: 0.010 memory: 5148 grad_norm: 7.4648 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4956 loss: 1.4956 2022/06/28 10:37:51 - mmengine - INFO - Epoch(train) [59][2340/3757] lr: 1.000e-03 eta: 11:27:44 time: 0.203 data_time: 0.019 memory: 5148 grad_norm: 6.4714 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2103 loss: 1.2103 2022/06/28 10:37:57 - mmengine - INFO - Epoch(train) [59][2360/3757] lr: 1.000e-03 eta: 11:27:39 time: 0.196 data_time: 0.012 memory: 5148 grad_norm: 6.7972 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4687 loss: 1.4687 2022/06/28 10:38:02 - mmengine - INFO - Epoch(train) [59][2380/3757] lr: 1.000e-03 eta: 11:27:34 time: 0.991 data_time: 0.010 memory: 5148 grad_norm: 8.0367 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8790 loss: 1.8790 2022/06/28 10:38:07 - mmengine - INFO - Epoch(train) [59][2400/3757] lr: 1.000e-03 eta: 11:27:28 time: 0.242 data_time: 0.016 memory: 5148 grad_norm: 8.8029 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8654 loss: 1.8654 2022/06/28 10:38:12 - mmengine - INFO - Epoch(train) [59][2420/3757] lr: 1.000e-03 eta: 11:27:23 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 7.7777 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3457 loss: 1.3457 2022/06/28 10:38:18 - mmengine - INFO - Epoch(train) [59][2440/3757] lr: 1.000e-03 eta: 11:27:18 time: 0.235 data_time: 0.011 memory: 5148 grad_norm: 7.5022 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2861 loss: 1.2861 2022/06/28 10:38:23 - mmengine - INFO - Epoch(train) [59][2460/3757] lr: 1.000e-03 eta: 11:27:12 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 7.2346 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5672 loss: 1.5672 2022/06/28 10:38:28 - mmengine - INFO - Epoch(train) [59][2480/3757] lr: 1.000e-03 eta: 11:27:07 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 8.6803 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4246 loss: 1.4246 2022/06/28 10:38:34 - mmengine - INFO - Epoch(train) [59][2500/3757] lr: 1.000e-03 eta: 11:27:02 time: 0.597 data_time: 0.012 memory: 5148 grad_norm: 7.4214 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9971 loss: 0.9971 2022/06/28 10:38:39 - mmengine - INFO - Epoch(train) [59][2520/3757] lr: 1.000e-03 eta: 11:26:56 time: 0.207 data_time: 0.011 memory: 5148 grad_norm: 6.6060 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0764 loss: 1.0764 2022/06/28 10:38:44 - mmengine - INFO - Epoch(train) [59][2540/3757] lr: 1.000e-03 eta: 11:26:51 time: 0.208 data_time: 0.013 memory: 5148 grad_norm: 9.2266 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7899 loss: 1.7899 2022/06/28 10:38:50 - mmengine - INFO - Epoch(train) [59][2560/3757] lr: 1.000e-03 eta: 11:26:46 time: 0.865 data_time: 0.010 memory: 5148 grad_norm: 7.8389 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3549 loss: 1.3549 2022/06/28 10:38:55 - mmengine - INFO - Epoch(train) [59][2580/3757] lr: 1.000e-03 eta: 11:26:40 time: 0.209 data_time: 0.010 memory: 5148 grad_norm: 5.9365 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5294 loss: 1.5294 2022/06/28 10:39:00 - mmengine - INFO - Epoch(train) [59][2600/3757] lr: 1.000e-03 eta: 11:26:35 time: 0.221 data_time: 0.010 memory: 5148 grad_norm: 8.3707 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2686 loss: 1.2686 2022/06/28 10:39:05 - mmengine - INFO - Epoch(train) [59][2620/3757] lr: 1.000e-03 eta: 11:26:30 time: 0.360 data_time: 0.010 memory: 5148 grad_norm: 6.8449 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1662 loss: 1.1662 2022/06/28 10:39:11 - mmengine - INFO - Epoch(train) [59][2640/3757] lr: 1.000e-03 eta: 11:26:24 time: 0.851 data_time: 0.010 memory: 5148 grad_norm: 7.8467 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4765 loss: 1.4765 2022/06/28 10:39:15 - mmengine - INFO - Epoch(train) [59][2660/3757] lr: 1.000e-03 eta: 11:26:19 time: 0.215 data_time: 0.008 memory: 5148 grad_norm: 8.0735 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3277 loss: 1.3277 2022/06/28 10:39:21 - mmengine - INFO - Epoch(train) [59][2680/3757] lr: 1.000e-03 eta: 11:26:14 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 8.0360 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4803 loss: 1.4803 2022/06/28 10:39:26 - mmengine - INFO - Epoch(train) [59][2700/3757] lr: 1.000e-03 eta: 11:26:08 time: 0.590 data_time: 0.012 memory: 5148 grad_norm: 5.5713 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0467 loss: 1.0467 2022/06/28 10:39:31 - mmengine - INFO - Epoch(train) [59][2720/3757] lr: 1.000e-03 eta: 11:26:03 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 6.7083 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2301 loss: 1.2301 2022/06/28 10:39:36 - mmengine - INFO - Epoch(train) [59][2740/3757] lr: 1.000e-03 eta: 11:25:57 time: 0.208 data_time: 0.013 memory: 5148 grad_norm: 6.6953 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3836 loss: 1.3836 2022/06/28 10:39:42 - mmengine - INFO - Epoch(train) [59][2760/3757] lr: 1.000e-03 eta: 11:25:52 time: 0.706 data_time: 0.009 memory: 5148 grad_norm: 7.6838 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3998 loss: 1.3998 2022/06/28 10:39:47 - mmengine - INFO - Epoch(train) [59][2780/3757] lr: 1.000e-03 eta: 11:25:46 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 8.1028 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3566 loss: 1.3566 2022/06/28 10:39:52 - mmengine - INFO - Epoch(train) [59][2800/3757] lr: 1.000e-03 eta: 11:25:41 time: 0.220 data_time: 0.008 memory: 5148 grad_norm: 7.5425 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4530 loss: 1.4530 2022/06/28 10:39:58 - mmengine - INFO - Epoch(train) [59][2820/3757] lr: 1.000e-03 eta: 11:25:36 time: 0.429 data_time: 0.006 memory: 5148 grad_norm: 6.4472 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4122 loss: 1.4122 2022/06/28 10:40:03 - mmengine - INFO - Epoch(train) [59][2840/3757] lr: 1.000e-03 eta: 11:25:31 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 8.6904 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0644 loss: 1.0644 2022/06/28 10:40:08 - mmengine - INFO - Epoch(train) [59][2860/3757] lr: 1.000e-03 eta: 11:25:25 time: 0.324 data_time: 0.010 memory: 5148 grad_norm: 6.0078 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0004 loss: 1.0004 2022/06/28 10:40:14 - mmengine - INFO - Epoch(train) [59][2880/3757] lr: 1.000e-03 eta: 11:25:20 time: 1.041 data_time: 0.010 memory: 5148 grad_norm: 8.1181 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4486 loss: 1.4486 2022/06/28 10:40:19 - mmengine - INFO - Epoch(train) [59][2900/3757] lr: 1.000e-03 eta: 11:25:15 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 7.5154 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8146 loss: 1.8146 2022/06/28 10:40:24 - mmengine - INFO - Epoch(train) [59][2920/3757] lr: 1.000e-03 eta: 11:25:09 time: 0.218 data_time: 0.007 memory: 5148 grad_norm: 7.9413 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1288 loss: 1.1288 2022/06/28 10:40:29 - mmengine - INFO - Epoch(train) [59][2940/3757] lr: 1.000e-03 eta: 11:25:04 time: 0.213 data_time: 0.011 memory: 5148 grad_norm: 7.8391 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4440 loss: 1.4440 2022/06/28 10:40:34 - mmengine - INFO - Epoch(train) [59][2960/3757] lr: 1.000e-03 eta: 11:24:58 time: 0.195 data_time: 0.013 memory: 5148 grad_norm: 8.1037 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4219 loss: 1.4219 2022/06/28 10:40:40 - mmengine - INFO - Epoch(train) [59][2980/3757] lr: 1.000e-03 eta: 11:24:53 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 7.4565 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5079 loss: 1.5079 2022/06/28 10:40:45 - mmengine - INFO - Epoch(train) [59][3000/3757] lr: 1.000e-03 eta: 11:24:48 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 7.2196 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5318 loss: 1.5318 2022/06/28 10:40:50 - mmengine - INFO - Epoch(train) [59][3020/3757] lr: 1.000e-03 eta: 11:24:43 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 7.1888 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1130 loss: 1.1130 2022/06/28 10:40:55 - mmengine - INFO - Epoch(train) [59][3040/3757] lr: 1.000e-03 eta: 11:24:37 time: 0.214 data_time: 0.006 memory: 5148 grad_norm: 7.2956 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0359 loss: 1.0359 2022/06/28 10:41:01 - mmengine - INFO - Epoch(train) [59][3060/3757] lr: 1.000e-03 eta: 11:24:32 time: 0.276 data_time: 0.010 memory: 5148 grad_norm: 6.8181 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0637 loss: 1.0637 2022/06/28 10:41:06 - mmengine - INFO - Epoch(train) [59][3080/3757] lr: 1.000e-03 eta: 11:24:27 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 7.7583 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4859 loss: 1.4859 2022/06/28 10:41:10 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 10:41:12 - mmengine - INFO - Epoch(train) [59][3100/3757] lr: 1.000e-03 eta: 11:24:22 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 7.7558 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4241 loss: 1.4241 2022/06/28 10:41:17 - mmengine - INFO - Epoch(train) [59][3120/3757] lr: 1.000e-03 eta: 11:24:16 time: 0.212 data_time: 0.033 memory: 5148 grad_norm: 7.2357 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4542 loss: 1.4542 2022/06/28 10:41:23 - mmengine - INFO - Epoch(train) [59][3140/3757] lr: 1.000e-03 eta: 11:24:11 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 7.1641 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5059 loss: 1.5059 2022/06/28 10:41:28 - mmengine - INFO - Epoch(train) [59][3160/3757] lr: 1.000e-03 eta: 11:24:05 time: 0.213 data_time: 0.012 memory: 5148 grad_norm: 6.6235 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1332 loss: 1.1332 2022/06/28 10:41:32 - mmengine - INFO - Epoch(train) [59][3180/3757] lr: 1.000e-03 eta: 11:23:59 time: 0.206 data_time: 0.015 memory: 5148 grad_norm: 7.3991 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4167 loss: 1.4167 2022/06/28 10:41:38 - mmengine - INFO - Epoch(train) [59][3200/3757] lr: 1.000e-03 eta: 11:23:54 time: 0.196 data_time: 0.012 memory: 5148 grad_norm: 6.6574 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0665 loss: 1.0665 2022/06/28 10:41:43 - mmengine - INFO - Epoch(train) [59][3220/3757] lr: 1.000e-03 eta: 11:23:49 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 7.0916 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1327 loss: 1.1327 2022/06/28 10:41:48 - mmengine - INFO - Epoch(train) [59][3240/3757] lr: 1.000e-03 eta: 11:23:44 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 7.3587 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5124 loss: 1.5124 2022/06/28 10:41:54 - mmengine - INFO - Epoch(train) [59][3260/3757] lr: 1.000e-03 eta: 11:23:39 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 8.0501 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1979 loss: 1.1979 2022/06/28 10:41:59 - mmengine - INFO - Epoch(train) [59][3280/3757] lr: 1.000e-03 eta: 11:23:33 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 6.5024 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4615 loss: 1.4615 2022/06/28 10:42:04 - mmengine - INFO - Epoch(train) [59][3300/3757] lr: 1.000e-03 eta: 11:23:28 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 8.0969 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2087 loss: 1.2087 2022/06/28 10:42:09 - mmengine - INFO - Epoch(train) [59][3320/3757] lr: 1.000e-03 eta: 11:23:22 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 8.0860 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4995 loss: 1.4995 2022/06/28 10:42:14 - mmengine - INFO - Epoch(train) [59][3340/3757] lr: 1.000e-03 eta: 11:23:17 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 8.7533 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1354 loss: 1.1354 2022/06/28 10:42:19 - mmengine - INFO - Epoch(train) [59][3360/3757] lr: 1.000e-03 eta: 11:23:11 time: 0.375 data_time: 0.011 memory: 5148 grad_norm: 7.0399 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5312 loss: 1.5312 2022/06/28 10:42:25 - mmengine - INFO - Epoch(train) [59][3380/3757] lr: 1.000e-03 eta: 11:23:06 time: 0.196 data_time: 0.013 memory: 5148 grad_norm: 7.2787 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2934 loss: 1.2934 2022/06/28 10:42:30 - mmengine - INFO - Epoch(train) [59][3400/3757] lr: 1.000e-03 eta: 11:23:01 time: 0.221 data_time: 0.007 memory: 5148 grad_norm: 7.2251 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8127 loss: 1.8127 2022/06/28 10:42:35 - mmengine - INFO - Epoch(train) [59][3420/3757] lr: 1.000e-03 eta: 11:22:55 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 7.6151 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3066 loss: 1.3066 2022/06/28 10:42:41 - mmengine - INFO - Epoch(train) [59][3440/3757] lr: 1.000e-03 eta: 11:22:50 time: 0.478 data_time: 0.021 memory: 5148 grad_norm: 6.9544 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7929 loss: 1.7929 2022/06/28 10:42:46 - mmengine - INFO - Epoch(train) [59][3460/3757] lr: 1.000e-03 eta: 11:22:45 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 7.7476 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4002 loss: 1.4002 2022/06/28 10:42:52 - mmengine - INFO - Epoch(train) [59][3480/3757] lr: 1.000e-03 eta: 11:22:40 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 7.6001 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5339 loss: 1.5339 2022/06/28 10:42:57 - mmengine - INFO - Epoch(train) [59][3500/3757] lr: 1.000e-03 eta: 11:22:34 time: 0.191 data_time: 0.010 memory: 5148 grad_norm: 8.5248 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4032 loss: 1.4032 2022/06/28 10:43:02 - mmengine - INFO - Epoch(train) [59][3520/3757] lr: 1.000e-03 eta: 11:22:29 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 8.4523 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5149 loss: 1.5149 2022/06/28 10:43:08 - mmengine - INFO - Epoch(train) [59][3540/3757] lr: 1.000e-03 eta: 11:22:24 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 8.6684 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2769 loss: 1.2769 2022/06/28 10:43:13 - mmengine - INFO - Epoch(train) [59][3560/3757] lr: 1.000e-03 eta: 11:22:19 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 7.2307 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4466 loss: 1.4466 2022/06/28 10:43:19 - mmengine - INFO - Epoch(train) [59][3580/3757] lr: 1.000e-03 eta: 11:22:13 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 7.6439 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9376 loss: 1.9376 2022/06/28 10:43:24 - mmengine - INFO - Epoch(train) [59][3600/3757] lr: 1.000e-03 eta: 11:22:08 time: 0.333 data_time: 0.008 memory: 5148 grad_norm: 7.8552 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8627 loss: 1.8627 2022/06/28 10:43:29 - mmengine - INFO - Epoch(train) [59][3620/3757] lr: 1.000e-03 eta: 11:22:03 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 7.7097 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7139 loss: 1.7139 2022/06/28 10:43:35 - mmengine - INFO - Epoch(train) [59][3640/3757] lr: 1.000e-03 eta: 11:21:58 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 6.8978 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4765 loss: 1.4765 2022/06/28 10:43:40 - mmengine - INFO - Epoch(train) [59][3660/3757] lr: 1.000e-03 eta: 11:21:52 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 7.1911 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4180 loss: 1.4180 2022/06/28 10:43:45 - mmengine - INFO - Epoch(train) [59][3680/3757] lr: 1.000e-03 eta: 11:21:47 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 7.0894 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3677 loss: 1.3677 2022/06/28 10:43:51 - mmengine - INFO - Epoch(train) [59][3700/3757] lr: 1.000e-03 eta: 11:21:42 time: 0.249 data_time: 0.007 memory: 5148 grad_norm: 8.1598 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3233 loss: 1.3233 2022/06/28 10:43:56 - mmengine - INFO - Epoch(train) [59][3720/3757] lr: 1.000e-03 eta: 11:21:36 time: 0.236 data_time: 0.007 memory: 5148 grad_norm: 7.5457 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5507 loss: 1.5507 2022/06/28 10:44:02 - mmengine - INFO - Epoch(train) [59][3740/3757] lr: 1.000e-03 eta: 11:21:31 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 8.2192 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3707 loss: 1.3707 2022/06/28 10:44:05 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 10:44:12 - mmengine - INFO - Epoch(val) [59][20/310] eta: 0:01:17 time: 0.527 data_time: 0.449 memory: 5148 2022/06/28 10:44:17 - mmengine - INFO - Epoch(val) [59][40/310] eta: 0:01:00 time: 0.081 data_time: 0.005 memory: 1367 2022/06/28 10:44:23 - mmengine - INFO - Epoch(val) [59][60/310] eta: 0:00:57 time: 0.129 data_time: 0.051 memory: 1367 2022/06/28 10:44:28 - mmengine - INFO - Epoch(val) [59][80/310] eta: 0:00:55 time: 0.083 data_time: 0.009 memory: 1367 2022/06/28 10:44:34 - mmengine - INFO - Epoch(val) [59][100/310] eta: 0:00:49 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 10:44:38 - mmengine - INFO - Epoch(val) [59][120/310] eta: 0:00:43 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 10:44:44 - mmengine - INFO - Epoch(val) [59][140/310] eta: 0:00:41 time: 0.105 data_time: 0.033 memory: 1367 2022/06/28 10:44:49 - mmengine - INFO - Epoch(val) [59][160/310] eta: 0:00:32 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 10:44:55 - mmengine - INFO - Epoch(val) [59][180/310] eta: 0:00:36 time: 0.508 data_time: 0.434 memory: 1367 2022/06/28 10:44:59 - mmengine - INFO - Epoch(val) [59][200/310] eta: 0:00:26 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 10:45:06 - mmengine - INFO - Epoch(val) [59][220/310] eta: 0:00:26 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 10:45:10 - mmengine - INFO - Epoch(val) [59][240/310] eta: 0:00:14 time: 0.078 data_time: 0.005 memory: 1367 2022/06/28 10:45:17 - mmengine - INFO - Epoch(val) [59][260/310] eta: 0:00:17 time: 0.091 data_time: 0.005 memory: 1367 2022/06/28 10:45:21 - mmengine - INFO - Epoch(val) [59][280/310] eta: 0:00:07 time: 0.089 data_time: 0.005 memory: 1367 2022/06/28 10:45:27 - mmengine - INFO - Epoch(val) [59][300/310] eta: 0:00:03 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 10:45:30 - mmengine - INFO - Epoch(val) [59][310/310] acc/top1: 0.6465 acc/top5: 0.8552 acc/mean1: 0.6463 2022/06/28 10:45:38 - mmengine - INFO - Epoch(train) [60][20/3757] lr: 1.000e-03 eta: 11:21:22 time: 0.192 data_time: 0.011 memory: 5148 grad_norm: 7.6763 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5388 loss: 1.5388 2022/06/28 10:45:44 - mmengine - INFO - Epoch(train) [60][40/3757] lr: 1.000e-03 eta: 11:21:17 time: 0.207 data_time: 0.021 memory: 5148 grad_norm: 7.5997 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6616 loss: 1.6616 2022/06/28 10:45:49 - mmengine - INFO - Epoch(train) [60][60/3757] lr: 1.000e-03 eta: 11:21:11 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 8.3006 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4146 loss: 1.4146 2022/06/28 10:45:54 - mmengine - INFO - Epoch(train) [60][80/3757] lr: 1.000e-03 eta: 11:21:06 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 6.1784 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1548 loss: 1.1548 2022/06/28 10:46:00 - mmengine - INFO - Epoch(train) [60][100/3757] lr: 1.000e-03 eta: 11:21:01 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 8.2626 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.4950 loss: 1.4950 2022/06/28 10:46:05 - mmengine - INFO - Epoch(train) [60][120/3757] lr: 1.000e-03 eta: 11:20:55 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 7.6326 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4326 loss: 1.4326 2022/06/28 10:46:10 - mmengine - INFO - Epoch(train) [60][140/3757] lr: 1.000e-03 eta: 11:20:50 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.5622 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3985 loss: 1.3985 2022/06/28 10:46:16 - mmengine - INFO - Epoch(train) [60][160/3757] lr: 1.000e-03 eta: 11:20:45 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 7.6024 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2313 loss: 1.2313 2022/06/28 10:46:21 - mmengine - INFO - Epoch(train) [60][180/3757] lr: 1.000e-03 eta: 11:20:40 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 8.2023 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5224 loss: 1.5224 2022/06/28 10:46:27 - mmengine - INFO - Epoch(train) [60][200/3757] lr: 1.000e-03 eta: 11:20:35 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 7.4166 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4054 loss: 1.4054 2022/06/28 10:46:33 - mmengine - INFO - Epoch(train) [60][220/3757] lr: 1.000e-03 eta: 11:20:30 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 8.0345 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2550 loss: 1.2550 2022/06/28 10:46:37 - mmengine - INFO - Epoch(train) [60][240/3757] lr: 1.000e-03 eta: 11:20:24 time: 0.190 data_time: 0.007 memory: 5148 grad_norm: 6.2320 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2874 loss: 1.2874 2022/06/28 10:46:43 - mmengine - INFO - Epoch(train) [60][260/3757] lr: 1.000e-03 eta: 11:20:19 time: 0.206 data_time: 0.006 memory: 5148 grad_norm: 6.0727 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3153 loss: 1.3153 2022/06/28 10:46:48 - mmengine - INFO - Epoch(train) [60][280/3757] lr: 1.000e-03 eta: 11:20:13 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 6.5511 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7055 loss: 1.7055 2022/06/28 10:46:53 - mmengine - INFO - Epoch(train) [60][300/3757] lr: 1.000e-03 eta: 11:20:08 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 7.7563 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5125 loss: 1.5125 2022/06/28 10:46:59 - mmengine - INFO - Epoch(train) [60][320/3757] lr: 1.000e-03 eta: 11:20:03 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 7.5347 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5342 loss: 1.5342 2022/06/28 10:47:04 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 10:47:05 - mmengine - INFO - Epoch(train) [60][340/3757] lr: 1.000e-03 eta: 11:19:58 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 7.7967 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3296 loss: 1.3296 2022/06/28 10:47:09 - mmengine - INFO - Epoch(train) [60][360/3757] lr: 1.000e-03 eta: 11:19:52 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 7.9872 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3708 loss: 1.3708 2022/06/28 10:47:14 - mmengine - INFO - Epoch(train) [60][380/3757] lr: 1.000e-03 eta: 11:19:47 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.5052 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5689 loss: 1.5689 2022/06/28 10:47:20 - mmengine - INFO - Epoch(train) [60][400/3757] lr: 1.000e-03 eta: 11:19:41 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 7.3072 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2926 loss: 1.2926 2022/06/28 10:47:25 - mmengine - INFO - Epoch(train) [60][420/3757] lr: 1.000e-03 eta: 11:19:36 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 7.8112 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6146 loss: 1.6146 2022/06/28 10:47:30 - mmengine - INFO - Epoch(train) [60][440/3757] lr: 1.000e-03 eta: 11:19:30 time: 0.206 data_time: 0.014 memory: 5148 grad_norm: 6.2093 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7445 loss: 1.7445 2022/06/28 10:47:36 - mmengine - INFO - Epoch(train) [60][460/3757] lr: 1.000e-03 eta: 11:19:25 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 7.8306 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3280 loss: 1.3280 2022/06/28 10:47:41 - mmengine - INFO - Epoch(train) [60][480/3757] lr: 1.000e-03 eta: 11:19:20 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 8.0823 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5287 loss: 1.5287 2022/06/28 10:47:46 - mmengine - INFO - Epoch(train) [60][500/3757] lr: 1.000e-03 eta: 11:19:15 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 7.4771 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4574 loss: 1.4574 2022/06/28 10:47:52 - mmengine - INFO - Epoch(train) [60][520/3757] lr: 1.000e-03 eta: 11:19:10 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 7.2005 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4728 loss: 1.4728 2022/06/28 10:47:57 - mmengine - INFO - Epoch(train) [60][540/3757] lr: 1.000e-03 eta: 11:19:04 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.1152 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7018 loss: 1.7018 2022/06/28 10:48:02 - mmengine - INFO - Epoch(train) [60][560/3757] lr: 1.000e-03 eta: 11:18:59 time: 0.206 data_time: 0.015 memory: 5148 grad_norm: 7.5150 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5128 loss: 1.5128 2022/06/28 10:48:08 - mmengine - INFO - Epoch(train) [60][580/3757] lr: 1.000e-03 eta: 11:18:54 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 7.7810 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5475 loss: 1.5475 2022/06/28 10:48:13 - mmengine - INFO - Epoch(train) [60][600/3757] lr: 1.000e-03 eta: 11:18:48 time: 0.194 data_time: 0.011 memory: 5148 grad_norm: 7.1695 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3579 loss: 1.3579 2022/06/28 10:48:17 - mmengine - INFO - Epoch(train) [60][620/3757] lr: 1.000e-03 eta: 11:18:42 time: 0.203 data_time: 0.013 memory: 5148 grad_norm: 7.7134 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1164 loss: 1.1164 2022/06/28 10:48:23 - mmengine - INFO - Epoch(train) [60][640/3757] lr: 1.000e-03 eta: 11:18:37 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 7.0391 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2327 loss: 1.2327 2022/06/28 10:48:28 - mmengine - INFO - Epoch(train) [60][660/3757] lr: 1.000e-03 eta: 11:18:32 time: 0.192 data_time: 0.010 memory: 5148 grad_norm: 7.0594 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2246 loss: 1.2246 2022/06/28 10:48:34 - mmengine - INFO - Epoch(train) [60][680/3757] lr: 1.000e-03 eta: 11:18:27 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 8.2281 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3927 loss: 1.3927 2022/06/28 10:48:40 - mmengine - INFO - Epoch(train) [60][700/3757] lr: 1.000e-03 eta: 11:18:22 time: 0.211 data_time: 0.006 memory: 5148 grad_norm: 7.4115 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5335 loss: 1.5335 2022/06/28 10:48:45 - mmengine - INFO - Epoch(train) [60][720/3757] lr: 1.000e-03 eta: 11:18:17 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.7189 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1819 loss: 1.1819 2022/06/28 10:48:50 - mmengine - INFO - Epoch(train) [60][740/3757] lr: 1.000e-03 eta: 11:18:11 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 7.1301 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5623 loss: 1.5623 2022/06/28 10:48:56 - mmengine - INFO - Epoch(train) [60][760/3757] lr: 1.000e-03 eta: 11:18:06 time: 0.207 data_time: 0.006 memory: 5148 grad_norm: 6.7307 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0809 loss: 1.0809 2022/06/28 10:49:00 - mmengine - INFO - Epoch(train) [60][780/3757] lr: 1.000e-03 eta: 11:18:00 time: 0.209 data_time: 0.006 memory: 5148 grad_norm: 7.8382 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1777 loss: 1.1777 2022/06/28 10:49:06 - mmengine - INFO - Epoch(train) [60][800/3757] lr: 1.000e-03 eta: 11:17:55 time: 0.206 data_time: 0.012 memory: 5148 grad_norm: 7.3065 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3516 loss: 1.3516 2022/06/28 10:49:11 - mmengine - INFO - Epoch(train) [60][820/3757] lr: 1.000e-03 eta: 11:17:50 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 7.5904 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1700 loss: 1.1700 2022/06/28 10:49:16 - mmengine - INFO - Epoch(train) [60][840/3757] lr: 1.000e-03 eta: 11:17:44 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 7.6541 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3684 loss: 1.3684 2022/06/28 10:49:21 - mmengine - INFO - Epoch(train) [60][860/3757] lr: 1.000e-03 eta: 11:17:39 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 5.9266 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3875 loss: 1.3875 2022/06/28 10:49:27 - mmengine - INFO - Epoch(train) [60][880/3757] lr: 1.000e-03 eta: 11:17:34 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 9.0484 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4147 loss: 1.4147 2022/06/28 10:49:32 - mmengine - INFO - Epoch(train) [60][900/3757] lr: 1.000e-03 eta: 11:17:28 time: 0.222 data_time: 0.008 memory: 5148 grad_norm: 7.2862 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1979 loss: 1.1979 2022/06/28 10:49:37 - mmengine - INFO - Epoch(train) [60][920/3757] lr: 1.000e-03 eta: 11:17:23 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 6.3963 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9226 loss: 0.9226 2022/06/28 10:49:42 - mmengine - INFO - Epoch(train) [60][940/3757] lr: 1.000e-03 eta: 11:17:17 time: 0.202 data_time: 0.012 memory: 5148 grad_norm: 7.9448 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6849 loss: 1.6849 2022/06/28 10:49:48 - mmengine - INFO - Epoch(train) [60][960/3757] lr: 1.000e-03 eta: 11:17:12 time: 0.207 data_time: 0.012 memory: 5148 grad_norm: 7.5599 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4358 loss: 1.4358 2022/06/28 10:49:54 - mmengine - INFO - Epoch(train) [60][980/3757] lr: 1.000e-03 eta: 11:17:07 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 6.4108 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7834 loss: 1.7834 2022/06/28 10:49:59 - mmengine - INFO - Epoch(train) [60][1000/3757] lr: 1.000e-03 eta: 11:17:02 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 7.0007 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3121 loss: 1.3121 2022/06/28 10:50:03 - mmengine - INFO - Epoch(train) [60][1020/3757] lr: 1.000e-03 eta: 11:16:56 time: 0.210 data_time: 0.020 memory: 5148 grad_norm: 7.8835 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1958 loss: 1.1958 2022/06/28 10:50:09 - mmengine - INFO - Epoch(train) [60][1040/3757] lr: 1.000e-03 eta: 11:16:51 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 7.9266 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0547 loss: 1.0547 2022/06/28 10:50:14 - mmengine - INFO - Epoch(train) [60][1060/3757] lr: 1.000e-03 eta: 11:16:45 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 8.6491 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5399 loss: 1.5399 2022/06/28 10:50:19 - mmengine - INFO - Epoch(train) [60][1080/3757] lr: 1.000e-03 eta: 11:16:40 time: 0.223 data_time: 0.013 memory: 5148 grad_norm: 7.4810 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0690 loss: 1.0690 2022/06/28 10:50:24 - mmengine - INFO - Epoch(train) [60][1100/3757] lr: 1.000e-03 eta: 11:16:34 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 7.7263 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9712 loss: 0.9712 2022/06/28 10:50:30 - mmengine - INFO - Epoch(train) [60][1120/3757] lr: 1.000e-03 eta: 11:16:29 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 7.7653 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0246 loss: 1.0246 2022/06/28 10:50:35 - mmengine - INFO - Epoch(train) [60][1140/3757] lr: 1.000e-03 eta: 11:16:24 time: 0.206 data_time: 0.013 memory: 5148 grad_norm: 7.6022 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2255 loss: 1.2255 2022/06/28 10:50:41 - mmengine - INFO - Epoch(train) [60][1160/3757] lr: 1.000e-03 eta: 11:16:19 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 6.3713 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9411 loss: 0.9411 2022/06/28 10:50:46 - mmengine - INFO - Epoch(train) [60][1180/3757] lr: 1.000e-03 eta: 11:16:13 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 9.0837 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2393 loss: 1.2393 2022/06/28 10:50:51 - mmengine - INFO - Epoch(train) [60][1200/3757] lr: 1.000e-03 eta: 11:16:08 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 6.5720 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0948 loss: 1.0948 2022/06/28 10:50:57 - mmengine - INFO - Epoch(train) [60][1220/3757] lr: 1.000e-03 eta: 11:16:03 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 8.1622 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0058 loss: 1.0058 2022/06/28 10:51:02 - mmengine - INFO - Epoch(train) [60][1240/3757] lr: 1.000e-03 eta: 11:15:58 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 7.1188 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5635 loss: 1.5635 2022/06/28 10:51:07 - mmengine - INFO - Epoch(train) [60][1260/3757] lr: 1.000e-03 eta: 11:15:52 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 7.4276 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1945 loss: 1.1945 2022/06/28 10:51:13 - mmengine - INFO - Epoch(train) [60][1280/3757] lr: 1.000e-03 eta: 11:15:47 time: 0.203 data_time: 0.026 memory: 5148 grad_norm: 7.3451 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3779 loss: 1.3779 2022/06/28 10:51:18 - mmengine - INFO - Epoch(train) [60][1300/3757] lr: 1.000e-03 eta: 11:15:41 time: 0.212 data_time: 0.019 memory: 5148 grad_norm: 6.4734 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2974 loss: 1.2974 2022/06/28 10:51:23 - mmengine - INFO - Epoch(train) [60][1320/3757] lr: 1.000e-03 eta: 11:15:36 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 8.0022 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5232 loss: 1.5232 2022/06/28 10:51:27 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 10:51:28 - mmengine - INFO - Epoch(train) [60][1340/3757] lr: 1.000e-03 eta: 11:15:31 time: 0.212 data_time: 0.019 memory: 5148 grad_norm: 8.6347 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5312 loss: 1.5312 2022/06/28 10:51:33 - mmengine - INFO - Epoch(train) [60][1360/3757] lr: 1.000e-03 eta: 11:15:25 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 8.0766 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2932 loss: 1.2932 2022/06/28 10:51:38 - mmengine - INFO - Epoch(train) [60][1380/3757] lr: 1.000e-03 eta: 11:15:20 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 7.0295 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1717 loss: 1.1717 2022/06/28 10:51:44 - mmengine - INFO - Epoch(train) [60][1400/3757] lr: 1.000e-03 eta: 11:15:15 time: 0.248 data_time: 0.024 memory: 5148 grad_norm: 7.9007 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8733 loss: 1.8733 2022/06/28 10:51:49 - mmengine - INFO - Epoch(train) [60][1420/3757] lr: 1.000e-03 eta: 11:15:09 time: 0.199 data_time: 0.012 memory: 5148 grad_norm: 7.3127 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5205 loss: 1.5205 2022/06/28 10:51:54 - mmengine - INFO - Epoch(train) [60][1440/3757] lr: 1.000e-03 eta: 11:15:04 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 7.9434 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8069 loss: 1.8069 2022/06/28 10:51:59 - mmengine - INFO - Epoch(train) [60][1460/3757] lr: 1.000e-03 eta: 11:14:58 time: 0.220 data_time: 0.022 memory: 5148 grad_norm: 8.2147 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3637 loss: 1.3637 2022/06/28 10:52:04 - mmengine - INFO - Epoch(train) [60][1480/3757] lr: 1.000e-03 eta: 11:14:53 time: 0.192 data_time: 0.011 memory: 5148 grad_norm: 9.6517 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7028 loss: 1.7028 2022/06/28 10:52:10 - mmengine - INFO - Epoch(train) [60][1500/3757] lr: 1.000e-03 eta: 11:14:48 time: 0.211 data_time: 0.008 memory: 5148 grad_norm: 8.8006 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1947 loss: 1.1947 2022/06/28 10:52:16 - mmengine - INFO - Epoch(train) [60][1520/3757] lr: 1.000e-03 eta: 11:14:42 time: 0.217 data_time: 0.010 memory: 5148 grad_norm: 7.5205 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3852 loss: 1.3852 2022/06/28 10:52:20 - mmengine - INFO - Epoch(train) [60][1540/3757] lr: 1.000e-03 eta: 11:14:37 time: 0.200 data_time: 0.014 memory: 5148 grad_norm: 6.2062 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2243 loss: 1.2243 2022/06/28 10:52:25 - mmengine - INFO - Epoch(train) [60][1560/3757] lr: 1.000e-03 eta: 11:14:31 time: 0.204 data_time: 0.012 memory: 5148 grad_norm: 8.9159 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9613 loss: 0.9613 2022/06/28 10:52:31 - mmengine - INFO - Epoch(train) [60][1580/3757] lr: 1.000e-03 eta: 11:14:26 time: 0.211 data_time: 0.010 memory: 5148 grad_norm: 7.3079 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3328 loss: 1.3328 2022/06/28 10:52:36 - mmengine - INFO - Epoch(train) [60][1600/3757] lr: 1.000e-03 eta: 11:14:21 time: 0.214 data_time: 0.015 memory: 5148 grad_norm: 7.4944 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5132 loss: 1.5132 2022/06/28 10:52:41 - mmengine - INFO - Epoch(train) [60][1620/3757] lr: 1.000e-03 eta: 11:14:15 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 6.7888 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1321 loss: 1.1321 2022/06/28 10:52:47 - mmengine - INFO - Epoch(train) [60][1640/3757] lr: 1.000e-03 eta: 11:14:10 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 8.4441 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4094 loss: 1.4094 2022/06/28 10:52:52 - mmengine - INFO - Epoch(train) [60][1660/3757] lr: 1.000e-03 eta: 11:14:05 time: 0.215 data_time: 0.024 memory: 5148 grad_norm: 6.6074 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0909 loss: 1.0909 2022/06/28 10:52:58 - mmengine - INFO - Epoch(train) [60][1680/3757] lr: 1.000e-03 eta: 11:14:00 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 7.8827 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0820 loss: 1.0820 2022/06/28 10:53:04 - mmengine - INFO - Epoch(train) [60][1700/3757] lr: 1.000e-03 eta: 11:13:55 time: 0.206 data_time: 0.009 memory: 5148 grad_norm: 6.3393 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3391 loss: 1.3391 2022/06/28 10:53:08 - mmengine - INFO - Epoch(train) [60][1720/3757] lr: 1.000e-03 eta: 11:13:49 time: 0.220 data_time: 0.038 memory: 5148 grad_norm: 7.2194 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2285 loss: 1.2285 2022/06/28 10:53:14 - mmengine - INFO - Epoch(train) [60][1740/3757] lr: 1.000e-03 eta: 11:13:44 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 7.4358 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4407 loss: 1.4407 2022/06/28 10:53:19 - mmengine - INFO - Epoch(train) [60][1760/3757] lr: 1.000e-03 eta: 11:13:39 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 7.7618 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4269 loss: 1.4269 2022/06/28 10:53:25 - mmengine - INFO - Epoch(train) [60][1780/3757] lr: 1.000e-03 eta: 11:13:34 time: 0.209 data_time: 0.033 memory: 5148 grad_norm: 7.8033 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.4029 loss: 1.4029 2022/06/28 10:53:29 - mmengine - INFO - Epoch(train) [60][1800/3757] lr: 1.000e-03 eta: 11:13:28 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 7.7134 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1575 loss: 2.1575 2022/06/28 10:53:35 - mmengine - INFO - Epoch(train) [60][1820/3757] lr: 1.000e-03 eta: 11:13:23 time: 0.210 data_time: 0.012 memory: 5148 grad_norm: 7.1529 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4249 loss: 1.4249 2022/06/28 10:53:40 - mmengine - INFO - Epoch(train) [60][1840/3757] lr: 1.000e-03 eta: 11:13:17 time: 0.208 data_time: 0.031 memory: 5148 grad_norm: 6.2674 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2043 loss: 1.2043 2022/06/28 10:53:45 - mmengine - INFO - Epoch(train) [60][1860/3757] lr: 1.000e-03 eta: 11:13:12 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 6.3265 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7030 loss: 1.7030 2022/06/28 10:53:51 - mmengine - INFO - Epoch(train) [60][1880/3757] lr: 1.000e-03 eta: 11:13:07 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 8.1906 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1921 loss: 1.1921 2022/06/28 10:53:56 - mmengine - INFO - Epoch(train) [60][1900/3757] lr: 1.000e-03 eta: 11:13:01 time: 0.206 data_time: 0.016 memory: 5148 grad_norm: 6.9604 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.5241 loss: 1.5241 2022/06/28 10:54:02 - mmengine - INFO - Epoch(train) [60][1920/3757] lr: 1.000e-03 eta: 11:12:56 time: 0.332 data_time: 0.009 memory: 5148 grad_norm: 8.4185 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1052 loss: 1.1052 2022/06/28 10:54:07 - mmengine - INFO - Epoch(train) [60][1940/3757] lr: 1.000e-03 eta: 11:12:51 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 7.6423 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8365 loss: 1.8365 2022/06/28 10:54:12 - mmengine - INFO - Epoch(train) [60][1960/3757] lr: 1.000e-03 eta: 11:12:45 time: 0.217 data_time: 0.018 memory: 5148 grad_norm: 7.1340 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5398 loss: 1.5398 2022/06/28 10:54:17 - mmengine - INFO - Epoch(train) [60][1980/3757] lr: 1.000e-03 eta: 11:12:40 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 6.5590 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2937 loss: 1.2937 2022/06/28 10:54:23 - mmengine - INFO - Epoch(train) [60][2000/3757] lr: 1.000e-03 eta: 11:12:35 time: 0.851 data_time: 0.007 memory: 5148 grad_norm: 7.3349 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4802 loss: 1.4802 2022/06/28 10:54:28 - mmengine - INFO - Epoch(train) [60][2020/3757] lr: 1.000e-03 eta: 11:12:29 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 7.1332 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1148 loss: 1.1148 2022/06/28 10:54:33 - mmengine - INFO - Epoch(train) [60][2040/3757] lr: 1.000e-03 eta: 11:12:24 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.6754 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0631 loss: 1.0631 2022/06/28 10:54:39 - mmengine - INFO - Epoch(train) [60][2060/3757] lr: 1.000e-03 eta: 11:12:19 time: 0.515 data_time: 0.007 memory: 5148 grad_norm: 6.1021 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3562 loss: 1.3562 2022/06/28 10:54:44 - mmengine - INFO - Epoch(train) [60][2080/3757] lr: 1.000e-03 eta: 11:12:14 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 5.9166 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0738 loss: 1.0738 2022/06/28 10:54:49 - mmengine - INFO - Epoch(train) [60][2100/3757] lr: 1.000e-03 eta: 11:12:08 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.1090 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2699 loss: 1.2699 2022/06/28 10:54:55 - mmengine - INFO - Epoch(train) [60][2120/3757] lr: 1.000e-03 eta: 11:12:03 time: 1.011 data_time: 0.016 memory: 5148 grad_norm: 7.4015 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2596 loss: 1.2596 2022/06/28 10:55:00 - mmengine - INFO - Epoch(train) [60][2140/3757] lr: 1.000e-03 eta: 11:11:58 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 7.8987 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0764 loss: 1.0764 2022/06/28 10:55:05 - mmengine - INFO - Epoch(train) [60][2160/3757] lr: 1.000e-03 eta: 11:11:52 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 7.8698 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3861 loss: 1.3861 2022/06/28 10:55:11 - mmengine - INFO - Epoch(train) [60][2180/3757] lr: 1.000e-03 eta: 11:11:47 time: 0.925 data_time: 0.016 memory: 5148 grad_norm: 6.7777 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3371 loss: 1.3371 2022/06/28 10:55:16 - mmengine - INFO - Epoch(train) [60][2200/3757] lr: 1.000e-03 eta: 11:11:42 time: 0.192 data_time: 0.009 memory: 5148 grad_norm: 7.8117 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5117 loss: 1.5117 2022/06/28 10:55:22 - mmengine - INFO - Epoch(train) [60][2220/3757] lr: 1.000e-03 eta: 11:11:37 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 8.8314 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5760 loss: 1.5760 2022/06/28 10:55:27 - mmengine - INFO - Epoch(train) [60][2240/3757] lr: 1.000e-03 eta: 11:11:31 time: 1.013 data_time: 0.014 memory: 5148 grad_norm: 6.7860 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4014 loss: 1.4014 2022/06/28 10:55:33 - mmengine - INFO - Epoch(train) [60][2260/3757] lr: 1.000e-03 eta: 11:11:26 time: 0.239 data_time: 0.015 memory: 5148 grad_norm: 7.4728 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4622 loss: 1.4622 2022/06/28 10:55:38 - mmengine - INFO - Epoch(train) [60][2280/3757] lr: 1.000e-03 eta: 11:11:21 time: 0.247 data_time: 0.007 memory: 5148 grad_norm: 6.7168 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2147 loss: 1.2147 2022/06/28 10:55:43 - mmengine - INFO - Epoch(train) [60][2300/3757] lr: 1.000e-03 eta: 11:11:15 time: 0.412 data_time: 0.008 memory: 5148 grad_norm: 5.7131 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1570 loss: 1.1570 2022/06/28 10:55:48 - mmengine - INFO - Epoch(train) [60][2320/3757] lr: 1.000e-03 eta: 11:11:10 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 8.8700 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1220 loss: 1.1220 2022/06/28 10:55:53 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 10:55:54 - mmengine - INFO - Epoch(train) [60][2340/3757] lr: 1.000e-03 eta: 11:11:05 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 7.3964 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1966 loss: 1.1966 2022/06/28 10:55:59 - mmengine - INFO - Epoch(train) [60][2360/3757] lr: 1.000e-03 eta: 11:10:59 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 7.3216 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2282 loss: 1.2282 2022/06/28 10:56:04 - mmengine - INFO - Epoch(train) [60][2380/3757] lr: 1.000e-03 eta: 11:10:54 time: 0.213 data_time: 0.008 memory: 5148 grad_norm: 6.4244 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3173 loss: 1.3173 2022/06/28 10:56:10 - mmengine - INFO - Epoch(train) [60][2400/3757] lr: 1.000e-03 eta: 11:10:49 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 7.8457 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1805 loss: 1.1805 2022/06/28 10:56:15 - mmengine - INFO - Epoch(train) [60][2420/3757] lr: 1.000e-03 eta: 11:10:44 time: 0.220 data_time: 0.007 memory: 5148 grad_norm: 6.5454 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2840 loss: 1.2840 2022/06/28 10:56:20 - mmengine - INFO - Epoch(train) [60][2440/3757] lr: 1.000e-03 eta: 11:10:38 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 8.0698 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5108 loss: 1.5108 2022/06/28 10:56:26 - mmengine - INFO - Epoch(train) [60][2460/3757] lr: 1.000e-03 eta: 11:10:33 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 7.1564 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3418 loss: 1.3418 2022/06/28 10:56:31 - mmengine - INFO - Epoch(train) [60][2480/3757] lr: 1.000e-03 eta: 11:10:27 time: 0.692 data_time: 0.006 memory: 5148 grad_norm: 7.1742 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4695 loss: 1.4695 2022/06/28 10:56:36 - mmengine - INFO - Epoch(train) [60][2500/3757] lr: 1.000e-03 eta: 11:10:22 time: 0.210 data_time: 0.006 memory: 5148 grad_norm: 7.8496 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4683 loss: 1.4683 2022/06/28 10:56:41 - mmengine - INFO - Epoch(train) [60][2520/3757] lr: 1.000e-03 eta: 11:10:17 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 8.1435 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4453 loss: 1.4453 2022/06/28 10:56:46 - mmengine - INFO - Epoch(train) [60][2540/3757] lr: 1.000e-03 eta: 11:10:11 time: 0.544 data_time: 0.008 memory: 5148 grad_norm: 7.0928 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1575 loss: 1.1575 2022/06/28 10:56:52 - mmengine - INFO - Epoch(train) [60][2560/3757] lr: 1.000e-03 eta: 11:10:06 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 8.5686 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.4177 loss: 1.4177 2022/06/28 10:56:57 - mmengine - INFO - Epoch(train) [60][2580/3757] lr: 1.000e-03 eta: 11:10:01 time: 0.228 data_time: 0.007 memory: 5148 grad_norm: 7.5762 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5638 loss: 1.5638 2022/06/28 10:57:03 - mmengine - INFO - Epoch(train) [60][2600/3757] lr: 1.000e-03 eta: 11:09:56 time: 1.631 data_time: 0.007 memory: 5148 grad_norm: 7.9912 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5496 loss: 1.5496 2022/06/28 10:57:08 - mmengine - INFO - Epoch(train) [60][2620/3757] lr: 1.000e-03 eta: 11:09:50 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 8.0718 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4891 loss: 1.4891 2022/06/28 10:57:13 - mmengine - INFO - Epoch(train) [60][2640/3757] lr: 1.000e-03 eta: 11:09:45 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 7.2358 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5912 loss: 1.5912 2022/06/28 10:57:19 - mmengine - INFO - Epoch(train) [60][2660/3757] lr: 1.000e-03 eta: 11:09:40 time: 0.238 data_time: 0.006 memory: 5148 grad_norm: 6.8715 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2781 loss: 1.2781 2022/06/28 10:57:24 - mmengine - INFO - Epoch(train) [60][2680/3757] lr: 1.000e-03 eta: 11:09:34 time: 0.210 data_time: 0.006 memory: 5148 grad_norm: 7.1922 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0258 loss: 1.0258 2022/06/28 10:57:29 - mmengine - INFO - Epoch(train) [60][2700/3757] lr: 1.000e-03 eta: 11:09:29 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 7.9612 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4917 loss: 1.4917 2022/06/28 10:57:35 - mmengine - INFO - Epoch(train) [60][2720/3757] lr: 1.000e-03 eta: 11:09:24 time: 0.537 data_time: 0.011 memory: 5148 grad_norm: 7.0515 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6025 loss: 1.6025 2022/06/28 10:57:40 - mmengine - INFO - Epoch(train) [60][2740/3757] lr: 1.000e-03 eta: 11:09:19 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 8.0520 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1577 loss: 1.1577 2022/06/28 10:57:46 - mmengine - INFO - Epoch(train) [60][2760/3757] lr: 1.000e-03 eta: 11:09:13 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 8.6468 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2534 loss: 1.2534 2022/06/28 10:57:51 - mmengine - INFO - Epoch(train) [60][2780/3757] lr: 1.000e-03 eta: 11:09:08 time: 0.710 data_time: 0.010 memory: 5148 grad_norm: 7.1922 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4720 loss: 1.4720 2022/06/28 10:57:56 - mmengine - INFO - Epoch(train) [60][2800/3757] lr: 1.000e-03 eta: 11:09:03 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 8.0885 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1593 loss: 1.1593 2022/06/28 10:58:02 - mmengine - INFO - Epoch(train) [60][2820/3757] lr: 1.000e-03 eta: 11:08:58 time: 0.244 data_time: 0.008 memory: 5148 grad_norm: 7.6233 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4567 loss: 1.4567 2022/06/28 10:58:07 - mmengine - INFO - Epoch(train) [60][2840/3757] lr: 1.000e-03 eta: 11:08:52 time: 0.583 data_time: 0.011 memory: 5148 grad_norm: 6.5755 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0410 loss: 1.0410 2022/06/28 10:58:12 - mmengine - INFO - Epoch(train) [60][2860/3757] lr: 1.000e-03 eta: 11:08:47 time: 0.191 data_time: 0.014 memory: 5148 grad_norm: 6.5875 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2998 loss: 1.2998 2022/06/28 10:58:17 - mmengine - INFO - Epoch(train) [60][2880/3757] lr: 1.000e-03 eta: 11:08:41 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 7.8252 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4362 loss: 1.4362 2022/06/28 10:58:23 - mmengine - INFO - Epoch(train) [60][2900/3757] lr: 1.000e-03 eta: 11:08:36 time: 0.371 data_time: 0.007 memory: 5148 grad_norm: 7.5793 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1900 loss: 1.1900 2022/06/28 10:58:28 - mmengine - INFO - Epoch(train) [60][2920/3757] lr: 1.000e-03 eta: 11:08:31 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 6.5823 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8377 loss: 1.8377 2022/06/28 10:58:33 - mmengine - INFO - Epoch(train) [60][2940/3757] lr: 1.000e-03 eta: 11:08:25 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 7.9827 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1466 loss: 1.1466 2022/06/28 10:58:38 - mmengine - INFO - Epoch(train) [60][2960/3757] lr: 1.000e-03 eta: 11:08:20 time: 0.536 data_time: 0.011 memory: 5148 grad_norm: 6.9273 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7629 loss: 1.7629 2022/06/28 10:58:43 - mmengine - INFO - Epoch(train) [60][2980/3757] lr: 1.000e-03 eta: 11:08:14 time: 0.205 data_time: 0.014 memory: 5148 grad_norm: 7.3296 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1837 loss: 1.1837 2022/06/28 10:58:49 - mmengine - INFO - Epoch(train) [60][3000/3757] lr: 1.000e-03 eta: 11:08:09 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 8.0334 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1119 loss: 1.1119 2022/06/28 10:58:54 - mmengine - INFO - Epoch(train) [60][3020/3757] lr: 1.000e-03 eta: 11:08:04 time: 0.773 data_time: 0.010 memory: 5148 grad_norm: 8.7160 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.1116 loss: 1.1116 2022/06/28 10:58:59 - mmengine - INFO - Epoch(train) [60][3040/3757] lr: 1.000e-03 eta: 11:07:58 time: 0.198 data_time: 0.015 memory: 5148 grad_norm: 6.8787 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3670 loss: 1.3670 2022/06/28 10:59:05 - mmengine - INFO - Epoch(train) [60][3060/3757] lr: 1.000e-03 eta: 11:07:54 time: 0.223 data_time: 0.007 memory: 5148 grad_norm: 7.9164 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2101 loss: 1.2101 2022/06/28 10:59:11 - mmengine - INFO - Epoch(train) [60][3080/3757] lr: 1.000e-03 eta: 11:07:48 time: 1.063 data_time: 0.013 memory: 5148 grad_norm: 7.0841 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5643 loss: 1.5643 2022/06/28 10:59:15 - mmengine - INFO - Epoch(train) [60][3100/3757] lr: 1.000e-03 eta: 11:07:43 time: 0.198 data_time: 0.016 memory: 5148 grad_norm: 7.1543 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9513 loss: 1.9513 2022/06/28 10:59:21 - mmengine - INFO - Epoch(train) [60][3120/3757] lr: 1.000e-03 eta: 11:07:37 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 8.0095 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4660 loss: 1.4660 2022/06/28 10:59:27 - mmengine - INFO - Epoch(train) [60][3140/3757] lr: 1.000e-03 eta: 11:07:32 time: 0.971 data_time: 0.012 memory: 5148 grad_norm: 7.2377 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4312 loss: 1.4312 2022/06/28 10:59:31 - mmengine - INFO - Epoch(train) [60][3160/3757] lr: 1.000e-03 eta: 11:07:27 time: 0.244 data_time: 0.008 memory: 5148 grad_norm: 6.6021 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1077 loss: 1.1077 2022/06/28 10:59:37 - mmengine - INFO - Epoch(train) [60][3180/3757] lr: 1.000e-03 eta: 11:07:22 time: 0.224 data_time: 0.040 memory: 5148 grad_norm: 8.0995 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0926 loss: 1.0926 2022/06/28 10:59:43 - mmengine - INFO - Epoch(train) [60][3200/3757] lr: 1.000e-03 eta: 11:07:16 time: 0.834 data_time: 0.008 memory: 5148 grad_norm: 7.1120 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1693 loss: 1.1693 2022/06/28 10:59:47 - mmengine - INFO - Epoch(train) [60][3220/3757] lr: 1.000e-03 eta: 11:07:11 time: 0.200 data_time: 0.018 memory: 5148 grad_norm: 7.7050 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1065 loss: 1.1065 2022/06/28 10:59:53 - mmengine - INFO - Epoch(train) [60][3240/3757] lr: 1.000e-03 eta: 11:07:06 time: 0.231 data_time: 0.012 memory: 5148 grad_norm: 8.0565 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2015 loss: 1.2015 2022/06/28 10:59:58 - mmengine - INFO - Epoch(train) [60][3260/3757] lr: 1.000e-03 eta: 11:07:00 time: 0.872 data_time: 0.015 memory: 5148 grad_norm: 7.7491 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1679 loss: 1.1679 2022/06/28 11:00:04 - mmengine - INFO - Epoch(train) [60][3280/3757] lr: 1.000e-03 eta: 11:06:55 time: 0.206 data_time: 0.016 memory: 5148 grad_norm: 7.7278 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9083 loss: 1.9083 2022/06/28 11:00:09 - mmengine - INFO - Epoch(train) [60][3300/3757] lr: 1.000e-03 eta: 11:06:50 time: 0.210 data_time: 0.010 memory: 5148 grad_norm: 5.6202 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4188 loss: 1.4188 2022/06/28 11:00:14 - mmengine - INFO - Epoch(train) [60][3320/3757] lr: 1.000e-03 eta: 11:06:45 time: 0.711 data_time: 0.008 memory: 5148 grad_norm: 7.3381 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3475 loss: 1.3475 2022/06/28 11:00:18 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 11:00:19 - mmengine - INFO - Epoch(train) [60][3340/3757] lr: 1.000e-03 eta: 11:06:39 time: 0.196 data_time: 0.013 memory: 5148 grad_norm: 7.8484 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0693 loss: 1.0693 2022/06/28 11:00:24 - mmengine - INFO - Epoch(train) [60][3360/3757] lr: 1.000e-03 eta: 11:06:34 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 6.7983 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2368 loss: 1.2368 2022/06/28 11:00:30 - mmengine - INFO - Epoch(train) [60][3380/3757] lr: 1.000e-03 eta: 11:06:28 time: 0.642 data_time: 0.010 memory: 5148 grad_norm: 6.8225 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4879 loss: 1.4879 2022/06/28 11:00:35 - mmengine - INFO - Epoch(train) [60][3400/3757] lr: 1.000e-03 eta: 11:06:23 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 7.2011 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1554 loss: 1.1554 2022/06/28 11:00:40 - mmengine - INFO - Epoch(train) [60][3420/3757] lr: 1.000e-03 eta: 11:06:18 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.0613 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7154 loss: 1.7154 2022/06/28 11:00:46 - mmengine - INFO - Epoch(train) [60][3440/3757] lr: 1.000e-03 eta: 11:06:13 time: 0.660 data_time: 0.007 memory: 5148 grad_norm: 7.7841 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3302 loss: 1.3302 2022/06/28 11:00:51 - mmengine - INFO - Epoch(train) [60][3460/3757] lr: 1.000e-03 eta: 11:06:07 time: 0.214 data_time: 0.037 memory: 5148 grad_norm: 7.9853 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2659 loss: 1.2659 2022/06/28 11:00:56 - mmengine - INFO - Epoch(train) [60][3480/3757] lr: 1.000e-03 eta: 11:06:02 time: 0.215 data_time: 0.006 memory: 5148 grad_norm: 7.1089 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5849 loss: 1.5849 2022/06/28 11:01:02 - mmengine - INFO - Epoch(train) [60][3500/3757] lr: 1.000e-03 eta: 11:05:57 time: 1.165 data_time: 0.006 memory: 5148 grad_norm: 6.8715 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4296 loss: 1.4296 2022/06/28 11:01:07 - mmengine - INFO - Epoch(train) [60][3520/3757] lr: 1.000e-03 eta: 11:05:51 time: 0.196 data_time: 0.016 memory: 5148 grad_norm: 6.2299 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6716 loss: 1.6716 2022/06/28 11:01:12 - mmengine - INFO - Epoch(train) [60][3540/3757] lr: 1.000e-03 eta: 11:05:46 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 9.4440 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2735 loss: 1.2735 2022/06/28 11:01:18 - mmengine - INFO - Epoch(train) [60][3560/3757] lr: 1.000e-03 eta: 11:05:41 time: 0.651 data_time: 0.007 memory: 5148 grad_norm: 8.9055 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3028 loss: 1.3028 2022/06/28 11:01:23 - mmengine - INFO - Epoch(train) [60][3580/3757] lr: 1.000e-03 eta: 11:05:35 time: 0.201 data_time: 0.012 memory: 5148 grad_norm: 6.2668 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3659 loss: 1.3659 2022/06/28 11:01:28 - mmengine - INFO - Epoch(train) [60][3600/3757] lr: 1.000e-03 eta: 11:05:30 time: 0.213 data_time: 0.011 memory: 5148 grad_norm: 6.9768 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2895 loss: 1.2895 2022/06/28 11:01:34 - mmengine - INFO - Epoch(train) [60][3620/3757] lr: 1.000e-03 eta: 11:05:25 time: 0.615 data_time: 0.011 memory: 5148 grad_norm: 7.8098 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4673 loss: 1.4673 2022/06/28 11:01:38 - mmengine - INFO - Epoch(train) [60][3640/3757] lr: 1.000e-03 eta: 11:05:19 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 7.0000 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3243 loss: 1.3243 2022/06/28 11:01:44 - mmengine - INFO - Epoch(train) [60][3660/3757] lr: 1.000e-03 eta: 11:05:14 time: 0.218 data_time: 0.036 memory: 5148 grad_norm: 6.9364 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2400 loss: 1.2400 2022/06/28 11:01:49 - mmengine - INFO - Epoch(train) [60][3680/3757] lr: 1.000e-03 eta: 11:05:08 time: 0.690 data_time: 0.008 memory: 5148 grad_norm: 6.7141 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1109 loss: 1.1109 2022/06/28 11:01:54 - mmengine - INFO - Epoch(train) [60][3700/3757] lr: 1.000e-03 eta: 11:05:03 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 7.5179 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3424 loss: 1.3424 2022/06/28 11:01:59 - mmengine - INFO - Epoch(train) [60][3720/3757] lr: 1.000e-03 eta: 11:04:57 time: 0.201 data_time: 0.013 memory: 5148 grad_norm: 7.3950 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3193 loss: 1.3193 2022/06/28 11:02:05 - mmengine - INFO - Epoch(train) [60][3740/3757] lr: 1.000e-03 eta: 11:04:52 time: 0.564 data_time: 0.008 memory: 5148 grad_norm: 8.3524 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4767 loss: 1.4767 2022/06/28 11:02:08 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 11:02:08 - mmengine - INFO - Saving checkpoint at 60 epochs 2022/06/28 11:02:18 - mmengine - INFO - Epoch(val) [60][20/310] eta: 0:01:15 time: 0.372 data_time: 0.294 memory: 5148 2022/06/28 11:02:22 - mmengine - INFO - Epoch(val) [60][40/310] eta: 0:01:02 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 11:02:28 - mmengine - INFO - Epoch(val) [60][60/310] eta: 0:00:54 time: 0.086 data_time: 0.009 memory: 1367 2022/06/28 11:02:33 - mmengine - INFO - Epoch(val) [60][80/310] eta: 0:00:57 time: 0.079 data_time: 0.008 memory: 1367 2022/06/28 11:02:39 - mmengine - INFO - Epoch(val) [60][100/310] eta: 0:00:48 time: 0.086 data_time: 0.008 memory: 1367 2022/06/28 11:02:44 - mmengine - INFO - Epoch(val) [60][120/310] eta: 0:00:50 time: 0.359 data_time: 0.281 memory: 1367 2022/06/28 11:02:50 - mmengine - INFO - Epoch(val) [60][140/310] eta: 0:00:54 time: 0.893 data_time: 0.821 memory: 1367 2022/06/28 11:02:54 - mmengine - INFO - Epoch(val) [60][160/310] eta: 0:00:34 time: 0.326 data_time: 0.254 memory: 1367 2022/06/28 11:03:00 - mmengine - INFO - Epoch(val) [60][180/310] eta: 0:00:47 time: 0.721 data_time: 0.645 memory: 1367 2022/06/28 11:03:05 - mmengine - INFO - Epoch(val) [60][200/310] eta: 0:00:25 time: 0.081 data_time: 0.009 memory: 1367 2022/06/28 11:03:11 - mmengine - INFO - Epoch(val) [60][220/310] eta: 0:00:32 time: 0.187 data_time: 0.114 memory: 1367 2022/06/28 11:03:16 - mmengine - INFO - Epoch(val) [60][240/310] eta: 0:00:15 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 11:03:21 - mmengine - INFO - Epoch(val) [60][260/310] eta: 0:00:17 time: 0.104 data_time: 0.033 memory: 1367 2022/06/28 11:03:26 - mmengine - INFO - Epoch(val) [60][280/310] eta: 0:00:07 time: 0.080 data_time: 0.008 memory: 1367 2022/06/28 11:03:30 - mmengine - INFO - Epoch(val) [60][300/310] eta: 0:00:01 time: 0.081 data_time: 0.005 memory: 1367 2022/06/28 11:03:33 - mmengine - INFO - Epoch(val) [60][310/310] acc/top1: 0.6463 acc/top5: 0.8551 acc/mean1: 0.6462 2022/06/28 11:03:42 - mmengine - INFO - Epoch(train) [61][20/3757] lr: 1.000e-03 eta: 11:04:43 time: 0.194 data_time: 0.013 memory: 5148 grad_norm: 8.3922 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2421 loss: 1.2421 2022/06/28 11:03:47 - mmengine - INFO - Epoch(train) [61][40/3757] lr: 1.000e-03 eta: 11:04:38 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 7.7931 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6247 loss: 1.6247 2022/06/28 11:03:52 - mmengine - INFO - Epoch(train) [61][60/3757] lr: 1.000e-03 eta: 11:04:32 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 8.5332 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4865 loss: 1.4865 2022/06/28 11:03:58 - mmengine - INFO - Epoch(train) [61][80/3757] lr: 1.000e-03 eta: 11:04:27 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 7.2458 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5952 loss: 1.5952 2022/06/28 11:04:03 - mmengine - INFO - Epoch(train) [61][100/3757] lr: 1.000e-03 eta: 11:04:22 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.7442 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1767 loss: 1.1767 2022/06/28 11:04:08 - mmengine - INFO - Epoch(train) [61][120/3757] lr: 1.000e-03 eta: 11:04:16 time: 0.193 data_time: 0.008 memory: 5148 grad_norm: 7.5724 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4338 loss: 1.4338 2022/06/28 11:04:14 - mmengine - INFO - Epoch(train) [61][140/3757] lr: 1.000e-03 eta: 11:04:11 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 7.0422 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1080 loss: 1.1080 2022/06/28 11:04:19 - mmengine - INFO - Epoch(train) [61][160/3757] lr: 1.000e-03 eta: 11:04:06 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 7.2384 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2389 loss: 1.2389 2022/06/28 11:04:24 - mmengine - INFO - Epoch(train) [61][180/3757] lr: 1.000e-03 eta: 11:04:00 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.5805 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1513 loss: 1.1513 2022/06/28 11:04:30 - mmengine - INFO - Epoch(train) [61][200/3757] lr: 1.000e-03 eta: 11:03:55 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 6.8267 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2756 loss: 1.2756 2022/06/28 11:04:35 - mmengine - INFO - Epoch(train) [61][220/3757] lr: 1.000e-03 eta: 11:03:50 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 7.5763 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5397 loss: 1.5397 2022/06/28 11:04:40 - mmengine - INFO - Epoch(train) [61][240/3757] lr: 1.000e-03 eta: 11:03:44 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 8.9187 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1020 loss: 1.1020 2022/06/28 11:04:45 - mmengine - INFO - Epoch(train) [61][260/3757] lr: 1.000e-03 eta: 11:03:39 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 6.9855 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5252 loss: 1.5252 2022/06/28 11:04:51 - mmengine - INFO - Epoch(train) [61][280/3757] lr: 1.000e-03 eta: 11:03:34 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 7.3659 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2815 loss: 1.2815 2022/06/28 11:04:55 - mmengine - INFO - Epoch(train) [61][300/3757] lr: 1.000e-03 eta: 11:03:28 time: 0.198 data_time: 0.014 memory: 5148 grad_norm: 7.9247 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5658 loss: 1.5658 2022/06/28 11:05:01 - mmengine - INFO - Epoch(train) [61][320/3757] lr: 1.000e-03 eta: 11:03:23 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 8.0929 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7042 loss: 1.7042 2022/06/28 11:05:07 - mmengine - INFO - Epoch(train) [61][340/3757] lr: 1.000e-03 eta: 11:03:18 time: 0.219 data_time: 0.008 memory: 5148 grad_norm: 7.4514 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3880 loss: 1.3880 2022/06/28 11:05:12 - mmengine - INFO - Epoch(train) [61][360/3757] lr: 1.000e-03 eta: 11:03:12 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 7.1513 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5530 loss: 1.5530 2022/06/28 11:05:17 - mmengine - INFO - Epoch(train) [61][380/3757] lr: 1.000e-03 eta: 11:03:07 time: 0.192 data_time: 0.008 memory: 5148 grad_norm: 7.7965 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2657 loss: 1.2657 2022/06/28 11:05:22 - mmengine - INFO - Epoch(train) [61][400/3757] lr: 1.000e-03 eta: 11:03:02 time: 0.224 data_time: 0.011 memory: 5148 grad_norm: 7.8729 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4006 loss: 1.4006 2022/06/28 11:05:28 - mmengine - INFO - Epoch(train) [61][420/3757] lr: 1.000e-03 eta: 11:02:56 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 6.4391 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3977 loss: 1.3977 2022/06/28 11:05:33 - mmengine - INFO - Epoch(train) [61][440/3757] lr: 1.000e-03 eta: 11:02:51 time: 0.294 data_time: 0.007 memory: 5148 grad_norm: 6.6509 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2337 loss: 1.2337 2022/06/28 11:05:38 - mmengine - INFO - Epoch(train) [61][460/3757] lr: 1.000e-03 eta: 11:02:46 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 8.5422 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5158 loss: 1.5158 2022/06/28 11:05:43 - mmengine - INFO - Epoch(train) [61][480/3757] lr: 1.000e-03 eta: 11:02:40 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 6.4221 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4281 loss: 1.4281 2022/06/28 11:05:49 - mmengine - INFO - Epoch(train) [61][500/3757] lr: 1.000e-03 eta: 11:02:35 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 7.6940 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1571 loss: 1.1571 2022/06/28 11:05:54 - mmengine - INFO - Epoch(train) [61][520/3757] lr: 1.000e-03 eta: 11:02:30 time: 0.219 data_time: 0.007 memory: 5148 grad_norm: 6.6366 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3727 loss: 1.3727 2022/06/28 11:05:59 - mmengine - INFO - Epoch(train) [61][540/3757] lr: 1.000e-03 eta: 11:02:24 time: 0.194 data_time: 0.009 memory: 5148 grad_norm: 7.8031 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6400 loss: 1.6400 2022/06/28 11:06:05 - mmengine - INFO - Epoch(train) [61][560/3757] lr: 1.000e-03 eta: 11:02:19 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 8.2341 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5979 loss: 1.5979 2022/06/28 11:06:10 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 11:06:10 - mmengine - INFO - Epoch(train) [61][580/3757] lr: 1.000e-03 eta: 11:02:14 time: 0.725 data_time: 0.013 memory: 5148 grad_norm: 7.7785 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2731 loss: 1.2731 2022/06/28 11:06:15 - mmengine - INFO - Epoch(train) [61][600/3757] lr: 1.000e-03 eta: 11:02:08 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 6.8792 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3534 loss: 1.3534 2022/06/28 11:06:20 - mmengine - INFO - Epoch(train) [61][620/3757] lr: 1.000e-03 eta: 11:02:03 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 7.6189 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2116 loss: 1.2116 2022/06/28 11:06:26 - mmengine - INFO - Epoch(train) [61][640/3757] lr: 1.000e-03 eta: 11:01:58 time: 0.893 data_time: 0.008 memory: 5148 grad_norm: 7.1307 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5180 loss: 1.5180 2022/06/28 11:06:31 - mmengine - INFO - Epoch(train) [61][660/3757] lr: 1.000e-03 eta: 11:01:52 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 7.9488 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3125 loss: 1.3125 2022/06/28 11:06:37 - mmengine - INFO - Epoch(train) [61][680/3757] lr: 1.000e-03 eta: 11:01:47 time: 0.210 data_time: 0.010 memory: 5148 grad_norm: 7.8577 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8060 loss: 1.8060 2022/06/28 11:06:42 - mmengine - INFO - Epoch(train) [61][700/3757] lr: 1.000e-03 eta: 11:01:42 time: 0.943 data_time: 0.007 memory: 5148 grad_norm: 7.8620 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1621 loss: 1.1621 2022/06/28 11:06:47 - mmengine - INFO - Epoch(train) [61][720/3757] lr: 1.000e-03 eta: 11:01:36 time: 0.207 data_time: 0.009 memory: 5148 grad_norm: 7.0431 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6060 loss: 1.6060 2022/06/28 11:06:53 - mmengine - INFO - Epoch(train) [61][740/3757] lr: 1.000e-03 eta: 11:01:31 time: 0.221 data_time: 0.015 memory: 5148 grad_norm: 8.4990 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3615 loss: 1.3615 2022/06/28 11:06:58 - mmengine - INFO - Epoch(train) [61][760/3757] lr: 1.000e-03 eta: 11:01:26 time: 0.226 data_time: 0.007 memory: 5148 grad_norm: 7.9014 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4823 loss: 1.4823 2022/06/28 11:07:02 - mmengine - INFO - Epoch(train) [61][780/3757] lr: 1.000e-03 eta: 11:01:20 time: 0.205 data_time: 0.013 memory: 5148 grad_norm: 7.5909 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4538 loss: 1.4538 2022/06/28 11:07:08 - mmengine - INFO - Epoch(train) [61][800/3757] lr: 1.000e-03 eta: 11:01:15 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 7.4990 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3835 loss: 1.3835 2022/06/28 11:07:14 - mmengine - INFO - Epoch(train) [61][820/3757] lr: 1.000e-03 eta: 11:01:10 time: 1.569 data_time: 0.008 memory: 5148 grad_norm: 6.0717 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4735 loss: 1.4735 2022/06/28 11:07:18 - mmengine - INFO - Epoch(train) [61][840/3757] lr: 1.000e-03 eta: 11:01:04 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 6.6639 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4422 loss: 1.4422 2022/06/28 11:07:25 - mmengine - INFO - Epoch(train) [61][860/3757] lr: 1.000e-03 eta: 11:00:59 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 6.7559 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2996 loss: 1.2996 2022/06/28 11:07:30 - mmengine - INFO - Epoch(train) [61][880/3757] lr: 1.000e-03 eta: 11:00:54 time: 0.868 data_time: 0.007 memory: 5148 grad_norm: 8.4705 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1772 loss: 1.1772 2022/06/28 11:07:35 - mmengine - INFO - Epoch(train) [61][900/3757] lr: 1.000e-03 eta: 11:00:49 time: 0.239 data_time: 0.009 memory: 5148 grad_norm: 8.4336 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3823 loss: 1.3823 2022/06/28 11:07:40 - mmengine - INFO - Epoch(train) [61][920/3757] lr: 1.000e-03 eta: 11:00:43 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 7.7528 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3442 loss: 1.3442 2022/06/28 11:07:46 - mmengine - INFO - Epoch(train) [61][940/3757] lr: 1.000e-03 eta: 11:00:38 time: 0.675 data_time: 0.011 memory: 5148 grad_norm: 7.2163 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3135 loss: 1.3135 2022/06/28 11:07:50 - mmengine - INFO - Epoch(train) [61][960/3757] lr: 1.000e-03 eta: 11:00:32 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 8.1636 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5322 loss: 1.5322 2022/06/28 11:07:56 - mmengine - INFO - Epoch(train) [61][980/3757] lr: 1.000e-03 eta: 11:00:27 time: 0.203 data_time: 0.027 memory: 5148 grad_norm: 8.2209 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0396 loss: 1.0396 2022/06/28 11:08:02 - mmengine - INFO - Epoch(train) [61][1000/3757] lr: 1.000e-03 eta: 11:00:22 time: 0.964 data_time: 0.011 memory: 5148 grad_norm: 9.6156 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3423 loss: 1.3423 2022/06/28 11:08:07 - mmengine - INFO - Epoch(train) [61][1020/3757] lr: 1.000e-03 eta: 11:00:17 time: 0.222 data_time: 0.009 memory: 5148 grad_norm: 6.5398 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5317 loss: 1.5317 2022/06/28 11:08:12 - mmengine - INFO - Epoch(train) [61][1040/3757] lr: 1.000e-03 eta: 11:00:11 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 6.5986 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2909 loss: 1.2909 2022/06/28 11:08:18 - mmengine - INFO - Epoch(train) [61][1060/3757] lr: 1.000e-03 eta: 11:00:06 time: 0.896 data_time: 0.015 memory: 5148 grad_norm: 6.7501 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1469 loss: 1.1469 2022/06/28 11:08:22 - mmengine - INFO - Epoch(train) [61][1080/3757] lr: 1.000e-03 eta: 11:00:00 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 6.1365 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9721 loss: 0.9721 2022/06/28 11:08:28 - mmengine - INFO - Epoch(train) [61][1100/3757] lr: 1.000e-03 eta: 10:59:55 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 7.3307 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3629 loss: 1.3629 2022/06/28 11:08:33 - mmengine - INFO - Epoch(train) [61][1120/3757] lr: 1.000e-03 eta: 10:59:50 time: 0.634 data_time: 0.019 memory: 5148 grad_norm: 8.0873 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0480 loss: 1.0480 2022/06/28 11:08:38 - mmengine - INFO - Epoch(train) [61][1140/3757] lr: 1.000e-03 eta: 10:59:44 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 7.5711 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3728 loss: 1.3728 2022/06/28 11:08:43 - mmengine - INFO - Epoch(train) [61][1160/3757] lr: 1.000e-03 eta: 10:59:39 time: 0.208 data_time: 0.012 memory: 5148 grad_norm: 6.1116 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3730 loss: 1.3730 2022/06/28 11:08:49 - mmengine - INFO - Epoch(train) [61][1180/3757] lr: 1.000e-03 eta: 10:59:34 time: 0.210 data_time: 0.011 memory: 5148 grad_norm: 7.5143 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0707 loss: 1.0707 2022/06/28 11:08:55 - mmengine - INFO - Epoch(train) [61][1200/3757] lr: 1.000e-03 eta: 10:59:29 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.7723 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4806 loss: 1.4806 2022/06/28 11:09:00 - mmengine - INFO - Epoch(train) [61][1220/3757] lr: 1.000e-03 eta: 10:59:23 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 9.5456 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3805 loss: 1.3805 2022/06/28 11:09:05 - mmengine - INFO - Epoch(train) [61][1240/3757] lr: 1.000e-03 eta: 10:59:18 time: 0.238 data_time: 0.007 memory: 5148 grad_norm: 7.6009 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3042 loss: 1.3042 2022/06/28 11:09:10 - mmengine - INFO - Epoch(train) [61][1260/3757] lr: 1.000e-03 eta: 10:59:13 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 8.1237 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0954 loss: 1.0954 2022/06/28 11:09:16 - mmengine - INFO - Epoch(train) [61][1280/3757] lr: 1.000e-03 eta: 10:59:07 time: 0.195 data_time: 0.015 memory: 5148 grad_norm: 7.7614 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0152 loss: 1.0152 2022/06/28 11:09:21 - mmengine - INFO - Epoch(train) [61][1300/3757] lr: 1.000e-03 eta: 10:59:02 time: 0.237 data_time: 0.008 memory: 5148 grad_norm: 8.6798 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0252 loss: 1.0252 2022/06/28 11:09:26 - mmengine - INFO - Epoch(train) [61][1320/3757] lr: 1.000e-03 eta: 10:58:57 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 7.3788 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1217 loss: 1.1217 2022/06/28 11:09:31 - mmengine - INFO - Epoch(train) [61][1340/3757] lr: 1.000e-03 eta: 10:58:51 time: 0.200 data_time: 0.012 memory: 5148 grad_norm: 6.6793 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3624 loss: 1.3624 2022/06/28 11:09:37 - mmengine - INFO - Epoch(train) [61][1360/3757] lr: 1.000e-03 eta: 10:58:46 time: 0.225 data_time: 0.007 memory: 5148 grad_norm: 7.4510 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2330 loss: 1.2330 2022/06/28 11:09:41 - mmengine - INFO - Epoch(train) [61][1380/3757] lr: 1.000e-03 eta: 10:58:40 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 7.7477 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2692 loss: 1.2692 2022/06/28 11:09:47 - mmengine - INFO - Epoch(train) [61][1400/3757] lr: 1.000e-03 eta: 10:58:35 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 7.2515 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8512 loss: 1.8512 2022/06/28 11:09:52 - mmengine - INFO - Epoch(train) [61][1420/3757] lr: 1.000e-03 eta: 10:58:30 time: 0.250 data_time: 0.007 memory: 5148 grad_norm: 6.0676 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6401 loss: 1.6401 2022/06/28 11:09:58 - mmengine - INFO - Epoch(train) [61][1440/3757] lr: 1.000e-03 eta: 10:58:24 time: 0.211 data_time: 0.010 memory: 5148 grad_norm: 8.7968 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4315 loss: 1.4315 2022/06/28 11:10:03 - mmengine - INFO - Epoch(train) [61][1460/3757] lr: 1.000e-03 eta: 10:58:19 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 7.4045 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8397 loss: 1.8397 2022/06/28 11:10:08 - mmengine - INFO - Epoch(train) [61][1480/3757] lr: 1.000e-03 eta: 10:58:14 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 7.3084 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8042 loss: 1.8042 2022/06/28 11:10:13 - mmengine - INFO - Epoch(train) [61][1500/3757] lr: 1.000e-03 eta: 10:58:08 time: 0.211 data_time: 0.017 memory: 5148 grad_norm: 7.1174 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3189 loss: 1.3189 2022/06/28 11:10:19 - mmengine - INFO - Epoch(train) [61][1520/3757] lr: 1.000e-03 eta: 10:58:03 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 6.3480 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2663 loss: 1.2663 2022/06/28 11:10:24 - mmengine - INFO - Epoch(train) [61][1540/3757] lr: 1.000e-03 eta: 10:57:58 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 6.9112 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2960 loss: 1.2960 2022/06/28 11:10:29 - mmengine - INFO - Epoch(train) [61][1560/3757] lr: 1.000e-03 eta: 10:57:52 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 8.7679 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2878 loss: 1.2878 2022/06/28 11:10:35 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 11:10:35 - mmengine - INFO - Epoch(train) [61][1580/3757] lr: 1.000e-03 eta: 10:57:47 time: 0.208 data_time: 0.011 memory: 5148 grad_norm: 6.8985 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3295 loss: 1.3295 2022/06/28 11:10:40 - mmengine - INFO - Epoch(train) [61][1600/3757] lr: 1.000e-03 eta: 10:57:42 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 6.4626 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0769 loss: 1.0769 2022/06/28 11:10:45 - mmengine - INFO - Epoch(train) [61][1620/3757] lr: 1.000e-03 eta: 10:57:37 time: 0.242 data_time: 0.059 memory: 5148 grad_norm: 7.8898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7435 loss: 1.7435 2022/06/28 11:10:50 - mmengine - INFO - Epoch(train) [61][1640/3757] lr: 1.000e-03 eta: 10:57:31 time: 0.217 data_time: 0.010 memory: 5148 grad_norm: 7.9044 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3482 loss: 1.3482 2022/06/28 11:10:55 - mmengine - INFO - Epoch(train) [61][1660/3757] lr: 1.000e-03 eta: 10:57:26 time: 0.196 data_time: 0.014 memory: 5148 grad_norm: 7.7108 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5399 loss: 1.5399 2022/06/28 11:11:00 - mmengine - INFO - Epoch(train) [61][1680/3757] lr: 1.000e-03 eta: 10:57:20 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 6.4345 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3050 loss: 1.3050 2022/06/28 11:11:06 - mmengine - INFO - Epoch(train) [61][1700/3757] lr: 1.000e-03 eta: 10:57:15 time: 0.195 data_time: 0.012 memory: 5148 grad_norm: 7.5941 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5763 loss: 1.5763 2022/06/28 11:11:11 - mmengine - INFO - Epoch(train) [61][1720/3757] lr: 1.000e-03 eta: 10:57:10 time: 0.532 data_time: 0.007 memory: 5148 grad_norm: 7.3420 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6742 loss: 1.6742 2022/06/28 11:11:17 - mmengine - INFO - Epoch(train) [61][1740/3757] lr: 1.000e-03 eta: 10:57:04 time: 0.221 data_time: 0.013 memory: 5148 grad_norm: 7.1406 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6129 loss: 1.6129 2022/06/28 11:11:22 - mmengine - INFO - Epoch(train) [61][1760/3757] lr: 1.000e-03 eta: 10:56:59 time: 0.200 data_time: 0.013 memory: 5148 grad_norm: 6.4573 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4699 loss: 1.4699 2022/06/28 11:11:27 - mmengine - INFO - Epoch(train) [61][1780/3757] lr: 1.000e-03 eta: 10:56:54 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 6.9834 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3344 loss: 1.3344 2022/06/28 11:11:33 - mmengine - INFO - Epoch(train) [61][1800/3757] lr: 1.000e-03 eta: 10:56:48 time: 0.209 data_time: 0.010 memory: 5148 grad_norm: 6.5070 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3736 loss: 1.3736 2022/06/28 11:11:38 - mmengine - INFO - Epoch(train) [61][1820/3757] lr: 1.000e-03 eta: 10:56:43 time: 0.210 data_time: 0.011 memory: 5148 grad_norm: 6.6191 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3556 loss: 1.3556 2022/06/28 11:11:43 - mmengine - INFO - Epoch(train) [61][1840/3757] lr: 1.000e-03 eta: 10:56:37 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 7.1311 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3771 loss: 1.3771 2022/06/28 11:11:48 - mmengine - INFO - Epoch(train) [61][1860/3757] lr: 1.000e-03 eta: 10:56:32 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 6.7104 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4720 loss: 1.4720 2022/06/28 11:11:54 - mmengine - INFO - Epoch(train) [61][1880/3757] lr: 1.000e-03 eta: 10:56:27 time: 0.678 data_time: 0.007 memory: 5148 grad_norm: 7.1583 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4771 loss: 1.4771 2022/06/28 11:11:59 - mmengine - INFO - Epoch(train) [61][1900/3757] lr: 1.000e-03 eta: 10:56:21 time: 0.213 data_time: 0.009 memory: 5148 grad_norm: 6.4833 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1880 loss: 1.1880 2022/06/28 11:12:04 - mmengine - INFO - Epoch(train) [61][1920/3757] lr: 1.000e-03 eta: 10:56:16 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 7.4633 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1873 loss: 1.1873 2022/06/28 11:12:10 - mmengine - INFO - Epoch(train) [61][1940/3757] lr: 1.000e-03 eta: 10:56:11 time: 0.209 data_time: 0.006 memory: 5148 grad_norm: 7.8865 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1766 loss: 1.1766 2022/06/28 11:12:15 - mmengine - INFO - Epoch(train) [61][1960/3757] lr: 1.000e-03 eta: 10:56:06 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 6.9901 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3487 loss: 1.3487 2022/06/28 11:12:20 - mmengine - INFO - Epoch(train) [61][1980/3757] lr: 1.000e-03 eta: 10:56:00 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 7.8219 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3468 loss: 1.3468 2022/06/28 11:12:25 - mmengine - INFO - Epoch(train) [61][2000/3757] lr: 1.000e-03 eta: 10:55:55 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 7.6407 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3787 loss: 1.3787 2022/06/28 11:12:30 - mmengine - INFO - Epoch(train) [61][2020/3757] lr: 1.000e-03 eta: 10:55:49 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 7.0752 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4156 loss: 1.4156 2022/06/28 11:12:36 - mmengine - INFO - Epoch(train) [61][2040/3757] lr: 1.000e-03 eta: 10:55:44 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 7.0629 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3830 loss: 1.3830 2022/06/28 11:12:41 - mmengine - INFO - Epoch(train) [61][2060/3757] lr: 1.000e-03 eta: 10:55:39 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 7.1265 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5283 loss: 1.5283 2022/06/28 11:12:46 - mmengine - INFO - Epoch(train) [61][2080/3757] lr: 1.000e-03 eta: 10:55:34 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 7.1483 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2057 loss: 1.2057 2022/06/28 11:12:52 - mmengine - INFO - Epoch(train) [61][2100/3757] lr: 1.000e-03 eta: 10:55:28 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 7.2558 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4507 loss: 1.4507 2022/06/28 11:12:57 - mmengine - INFO - Epoch(train) [61][2120/3757] lr: 1.000e-03 eta: 10:55:23 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 8.0617 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4648 loss: 1.4648 2022/06/28 11:13:03 - mmengine - INFO - Epoch(train) [61][2140/3757] lr: 1.000e-03 eta: 10:55:18 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 6.0052 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4954 loss: 1.4954 2022/06/28 11:13:08 - mmengine - INFO - Epoch(train) [61][2160/3757] lr: 1.000e-03 eta: 10:55:13 time: 0.220 data_time: 0.007 memory: 5148 grad_norm: 7.3772 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1684 loss: 1.1684 2022/06/28 11:13:13 - mmengine - INFO - Epoch(train) [61][2180/3757] lr: 1.000e-03 eta: 10:55:07 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 8.3271 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4873 loss: 1.4873 2022/06/28 11:13:18 - mmengine - INFO - Epoch(train) [61][2200/3757] lr: 1.000e-03 eta: 10:55:02 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 9.4938 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7293 loss: 1.7293 2022/06/28 11:13:24 - mmengine - INFO - Epoch(train) [61][2220/3757] lr: 1.000e-03 eta: 10:54:57 time: 0.218 data_time: 0.007 memory: 5148 grad_norm: 8.2371 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1822 loss: 1.1822 2022/06/28 11:13:29 - mmengine - INFO - Epoch(train) [61][2240/3757] lr: 1.000e-03 eta: 10:54:51 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 6.8050 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8690 loss: 0.8690 2022/06/28 11:13:35 - mmengine - INFO - Epoch(train) [61][2260/3757] lr: 1.000e-03 eta: 10:54:46 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 8.1367 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0496 loss: 1.0496 2022/06/28 11:13:40 - mmengine - INFO - Epoch(train) [61][2280/3757] lr: 1.000e-03 eta: 10:54:41 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 6.3760 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2179 loss: 1.2179 2022/06/28 11:13:45 - mmengine - INFO - Epoch(train) [61][2300/3757] lr: 1.000e-03 eta: 10:54:35 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 8.1203 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2824 loss: 1.2824 2022/06/28 11:13:50 - mmengine - INFO - Epoch(train) [61][2320/3757] lr: 1.000e-03 eta: 10:54:30 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 7.6904 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3726 loss: 1.3726 2022/06/28 11:13:56 - mmengine - INFO - Epoch(train) [61][2340/3757] lr: 1.000e-03 eta: 10:54:25 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 6.7010 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9033 loss: 1.9033 2022/06/28 11:14:01 - mmengine - INFO - Epoch(train) [61][2360/3757] lr: 1.000e-03 eta: 10:54:19 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 7.7646 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5057 loss: 1.5057 2022/06/28 11:14:06 - mmengine - INFO - Epoch(train) [61][2380/3757] lr: 1.000e-03 eta: 10:54:14 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 8.5340 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6008 loss: 1.6008 2022/06/28 11:14:11 - mmengine - INFO - Epoch(train) [61][2400/3757] lr: 1.000e-03 eta: 10:54:09 time: 0.201 data_time: 0.009 memory: 5148 grad_norm: 7.0748 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0859 loss: 1.0859 2022/06/28 11:14:17 - mmengine - INFO - Epoch(train) [61][2420/3757] lr: 1.000e-03 eta: 10:54:04 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 6.4124 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2164 loss: 1.2164 2022/06/28 11:14:22 - mmengine - INFO - Epoch(train) [61][2440/3757] lr: 1.000e-03 eta: 10:53:58 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 6.8204 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3986 loss: 1.3986 2022/06/28 11:14:27 - mmengine - INFO - Epoch(train) [61][2460/3757] lr: 1.000e-03 eta: 10:53:53 time: 0.222 data_time: 0.007 memory: 5148 grad_norm: 6.3772 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1768 loss: 1.1768 2022/06/28 11:14:33 - mmengine - INFO - Epoch(train) [61][2480/3757] lr: 1.000e-03 eta: 10:53:48 time: 0.201 data_time: 0.009 memory: 5148 grad_norm: 6.5927 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2409 loss: 1.2409 2022/06/28 11:14:38 - mmengine - INFO - Epoch(train) [61][2500/3757] lr: 1.000e-03 eta: 10:53:42 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 6.8168 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2831 loss: 1.2831 2022/06/28 11:14:44 - mmengine - INFO - Epoch(train) [61][2520/3757] lr: 1.000e-03 eta: 10:53:37 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.9085 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3734 loss: 1.3734 2022/06/28 11:14:49 - mmengine - INFO - Epoch(train) [61][2540/3757] lr: 1.000e-03 eta: 10:53:32 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 7.2742 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4128 loss: 1.4128 2022/06/28 11:14:54 - mmengine - INFO - Epoch(train) [61][2560/3757] lr: 1.000e-03 eta: 10:53:26 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 8.8525 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8642 loss: 1.8642 2022/06/28 11:15:00 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 11:15:00 - mmengine - INFO - Epoch(train) [61][2580/3757] lr: 1.000e-03 eta: 10:53:21 time: 0.215 data_time: 0.008 memory: 5148 grad_norm: 7.8815 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0189 loss: 1.0189 2022/06/28 11:15:05 - mmengine - INFO - Epoch(train) [61][2600/3757] lr: 1.000e-03 eta: 10:53:16 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 7.9828 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0015 loss: 1.0015 2022/06/28 11:15:11 - mmengine - INFO - Epoch(train) [61][2620/3757] lr: 1.000e-03 eta: 10:53:11 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 8.9193 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0310 loss: 1.0310 2022/06/28 11:15:16 - mmengine - INFO - Epoch(train) [61][2640/3757] lr: 1.000e-03 eta: 10:53:05 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 9.1607 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3566 loss: 1.3566 2022/06/28 11:15:21 - mmengine - INFO - Epoch(train) [61][2660/3757] lr: 1.000e-03 eta: 10:53:00 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 8.9278 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2392 loss: 1.2392 2022/06/28 11:15:26 - mmengine - INFO - Epoch(train) [61][2680/3757] lr: 1.000e-03 eta: 10:52:55 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 6.0435 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0458 loss: 1.0458 2022/06/28 11:15:32 - mmengine - INFO - Epoch(train) [61][2700/3757] lr: 1.000e-03 eta: 10:52:49 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 8.1960 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4578 loss: 1.4578 2022/06/28 11:15:37 - mmengine - INFO - Epoch(train) [61][2720/3757] lr: 1.000e-03 eta: 10:52:44 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 7.4084 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4634 loss: 1.4634 2022/06/28 11:15:42 - mmengine - INFO - Epoch(train) [61][2740/3757] lr: 1.000e-03 eta: 10:52:39 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 7.1054 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0430 loss: 1.0430 2022/06/28 11:15:48 - mmengine - INFO - Epoch(train) [61][2760/3757] lr: 1.000e-03 eta: 10:52:33 time: 0.215 data_time: 0.011 memory: 5148 grad_norm: 8.1180 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2467 loss: 1.2467 2022/06/28 11:15:53 - mmengine - INFO - Epoch(train) [61][2780/3757] lr: 1.000e-03 eta: 10:52:28 time: 0.717 data_time: 0.010 memory: 5148 grad_norm: 7.3824 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1684 loss: 1.1684 2022/06/28 11:15:58 - mmengine - INFO - Epoch(train) [61][2800/3757] lr: 1.000e-03 eta: 10:52:23 time: 0.226 data_time: 0.007 memory: 5148 grad_norm: 8.3056 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3529 loss: 1.3529 2022/06/28 11:16:04 - mmengine - INFO - Epoch(train) [61][2820/3757] lr: 1.000e-03 eta: 10:52:18 time: 0.260 data_time: 0.025 memory: 5148 grad_norm: 6.7652 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3089 loss: 1.3089 2022/06/28 11:16:09 - mmengine - INFO - Epoch(train) [61][2840/3757] lr: 1.000e-03 eta: 10:52:12 time: 0.358 data_time: 0.007 memory: 5148 grad_norm: 8.7489 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5304 loss: 1.5304 2022/06/28 11:16:14 - mmengine - INFO - Epoch(train) [61][2860/3757] lr: 1.000e-03 eta: 10:52:07 time: 0.238 data_time: 0.007 memory: 5148 grad_norm: 7.0088 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2230 loss: 1.2230 2022/06/28 11:16:20 - mmengine - INFO - Epoch(train) [61][2880/3757] lr: 1.000e-03 eta: 10:52:02 time: 0.222 data_time: 0.044 memory: 5148 grad_norm: 6.8991 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3869 loss: 1.3869 2022/06/28 11:16:25 - mmengine - INFO - Epoch(train) [61][2900/3757] lr: 1.000e-03 eta: 10:51:56 time: 0.426 data_time: 0.007 memory: 5148 grad_norm: 6.8268 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5206 loss: 1.5206 2022/06/28 11:16:30 - mmengine - INFO - Epoch(train) [61][2920/3757] lr: 1.000e-03 eta: 10:51:51 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 7.4764 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1089 loss: 1.1089 2022/06/28 11:16:35 - mmengine - INFO - Epoch(train) [61][2940/3757] lr: 1.000e-03 eta: 10:51:45 time: 0.201 data_time: 0.024 memory: 5148 grad_norm: 8.2160 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5673 loss: 1.5673 2022/06/28 11:16:41 - mmengine - INFO - Epoch(train) [61][2960/3757] lr: 1.000e-03 eta: 10:51:40 time: 0.330 data_time: 0.007 memory: 5148 grad_norm: 7.5277 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9191 loss: 1.9191 2022/06/28 11:16:46 - mmengine - INFO - Epoch(train) [61][2980/3757] lr: 1.000e-03 eta: 10:51:35 time: 0.224 data_time: 0.008 memory: 5148 grad_norm: 7.5341 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4899 loss: 1.4899 2022/06/28 11:16:52 - mmengine - INFO - Epoch(train) [61][3000/3757] lr: 1.000e-03 eta: 10:51:30 time: 0.214 data_time: 0.010 memory: 5148 grad_norm: 7.3375 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5906 loss: 1.5906 2022/06/28 11:16:56 - mmengine - INFO - Epoch(train) [61][3020/3757] lr: 1.000e-03 eta: 10:51:24 time: 0.228 data_time: 0.011 memory: 5148 grad_norm: 7.8460 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2559 loss: 1.2559 2022/06/28 11:17:02 - mmengine - INFO - Epoch(train) [61][3040/3757] lr: 1.000e-03 eta: 10:51:19 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 7.1379 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2243 loss: 1.2243 2022/06/28 11:17:07 - mmengine - INFO - Epoch(train) [61][3060/3757] lr: 1.000e-03 eta: 10:51:13 time: 0.200 data_time: 0.019 memory: 5148 grad_norm: 7.1880 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4553 loss: 1.4553 2022/06/28 11:17:13 - mmengine - INFO - Epoch(train) [61][3080/3757] lr: 1.000e-03 eta: 10:51:08 time: 0.423 data_time: 0.019 memory: 5148 grad_norm: 7.1631 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6988 loss: 1.6988 2022/06/28 11:17:18 - mmengine - INFO - Epoch(train) [61][3100/3757] lr: 1.000e-03 eta: 10:51:03 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 8.4105 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2323 loss: 1.2323 2022/06/28 11:17:23 - mmengine - INFO - Epoch(train) [61][3120/3757] lr: 1.000e-03 eta: 10:50:58 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 7.7394 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5943 loss: 1.5943 2022/06/28 11:17:28 - mmengine - INFO - Epoch(train) [61][3140/3757] lr: 1.000e-03 eta: 10:50:52 time: 0.211 data_time: 0.017 memory: 5148 grad_norm: 9.0778 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4550 loss: 1.4550 2022/06/28 11:17:34 - mmengine - INFO - Epoch(train) [61][3160/3757] lr: 1.000e-03 eta: 10:50:47 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 7.2258 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8080 loss: 1.8080 2022/06/28 11:17:39 - mmengine - INFO - Epoch(train) [61][3180/3757] lr: 1.000e-03 eta: 10:50:42 time: 0.195 data_time: 0.015 memory: 5148 grad_norm: 8.1839 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1879 loss: 1.1879 2022/06/28 11:17:44 - mmengine - INFO - Epoch(train) [61][3200/3757] lr: 1.000e-03 eta: 10:50:36 time: 0.344 data_time: 0.007 memory: 5148 grad_norm: 8.1536 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3047 loss: 1.3047 2022/06/28 11:17:50 - mmengine - INFO - Epoch(train) [61][3220/3757] lr: 1.000e-03 eta: 10:50:31 time: 0.199 data_time: 0.012 memory: 5148 grad_norm: 7.6302 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5329 loss: 1.5329 2022/06/28 11:17:55 - mmengine - INFO - Epoch(train) [61][3240/3757] lr: 1.000e-03 eta: 10:50:26 time: 0.196 data_time: 0.016 memory: 5148 grad_norm: 7.3418 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2775 loss: 1.2775 2022/06/28 11:17:59 - mmengine - INFO - Epoch(train) [61][3260/3757] lr: 1.000e-03 eta: 10:50:20 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 8.1677 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4587 loss: 1.4587 2022/06/28 11:18:05 - mmengine - INFO - Epoch(train) [61][3280/3757] lr: 1.000e-03 eta: 10:50:15 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 7.2985 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5989 loss: 1.5989 2022/06/28 11:18:10 - mmengine - INFO - Epoch(train) [61][3300/3757] lr: 1.000e-03 eta: 10:50:09 time: 0.211 data_time: 0.014 memory: 5148 grad_norm: 6.7493 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3472 loss: 1.3472 2022/06/28 11:18:16 - mmengine - INFO - Epoch(train) [61][3320/3757] lr: 1.000e-03 eta: 10:50:04 time: 0.218 data_time: 0.007 memory: 5148 grad_norm: 7.1390 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1934 loss: 1.1934 2022/06/28 11:18:21 - mmengine - INFO - Epoch(train) [61][3340/3757] lr: 1.000e-03 eta: 10:49:59 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 7.3107 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4201 loss: 1.4201 2022/06/28 11:18:26 - mmengine - INFO - Epoch(train) [61][3360/3757] lr: 1.000e-03 eta: 10:49:53 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 6.1714 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2569 loss: 1.2569 2022/06/28 11:18:32 - mmengine - INFO - Epoch(train) [61][3380/3757] lr: 1.000e-03 eta: 10:49:49 time: 0.206 data_time: 0.009 memory: 5148 grad_norm: 7.5404 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4826 loss: 1.4826 2022/06/28 11:18:37 - mmengine - INFO - Epoch(train) [61][3400/3757] lr: 1.000e-03 eta: 10:49:43 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 7.5243 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3923 loss: 1.3923 2022/06/28 11:18:43 - mmengine - INFO - Epoch(train) [61][3420/3757] lr: 1.000e-03 eta: 10:49:38 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.7150 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3893 loss: 1.3893 2022/06/28 11:18:48 - mmengine - INFO - Epoch(train) [61][3440/3757] lr: 1.000e-03 eta: 10:49:33 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 7.6192 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4031 loss: 1.4031 2022/06/28 11:18:53 - mmengine - INFO - Epoch(train) [61][3460/3757] lr: 1.000e-03 eta: 10:49:27 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.7681 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2510 loss: 1.2510 2022/06/28 11:18:59 - mmengine - INFO - Epoch(train) [61][3480/3757] lr: 1.000e-03 eta: 10:49:22 time: 0.226 data_time: 0.010 memory: 5148 grad_norm: 6.2252 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4762 loss: 1.4762 2022/06/28 11:19:04 - mmengine - INFO - Epoch(train) [61][3500/3757] lr: 1.000e-03 eta: 10:49:17 time: 0.222 data_time: 0.014 memory: 5148 grad_norm: 8.9306 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5109 loss: 1.5109 2022/06/28 11:19:09 - mmengine - INFO - Epoch(train) [61][3520/3757] lr: 1.000e-03 eta: 10:49:11 time: 0.196 data_time: 0.014 memory: 5148 grad_norm: 7.6672 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1427 loss: 1.1427 2022/06/28 11:19:14 - mmengine - INFO - Epoch(train) [61][3540/3757] lr: 1.000e-03 eta: 10:49:06 time: 0.201 data_time: 0.022 memory: 5148 grad_norm: 6.9399 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8396 loss: 1.8396 2022/06/28 11:19:19 - mmengine - INFO - Epoch(train) [61][3560/3757] lr: 1.000e-03 eta: 10:49:00 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 6.2271 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6235 loss: 1.6235 2022/06/28 11:19:24 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 11:19:24 - mmengine - INFO - Epoch(train) [61][3580/3757] lr: 1.000e-03 eta: 10:48:54 time: 0.283 data_time: 0.007 memory: 5148 grad_norm: 7.9811 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6972 loss: 1.6972 2022/06/28 11:19:30 - mmengine - INFO - Epoch(train) [61][3600/3757] lr: 1.000e-03 eta: 10:48:49 time: 0.201 data_time: 0.024 memory: 5148 grad_norm: 6.9860 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4078 loss: 1.4078 2022/06/28 11:19:36 - mmengine - INFO - Epoch(train) [61][3620/3757] lr: 1.000e-03 eta: 10:48:45 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 6.4166 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7840 loss: 1.7840 2022/06/28 11:19:40 - mmengine - INFO - Epoch(train) [61][3640/3757] lr: 1.000e-03 eta: 10:48:39 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 6.4467 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3045 loss: 1.3045 2022/06/28 11:19:46 - mmengine - INFO - Epoch(train) [61][3660/3757] lr: 1.000e-03 eta: 10:48:34 time: 0.203 data_time: 0.013 memory: 5148 grad_norm: 7.5620 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1719 loss: 1.1719 2022/06/28 11:19:51 - mmengine - INFO - Epoch(train) [61][3680/3757] lr: 1.000e-03 eta: 10:48:28 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.8686 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9363 loss: 1.9363 2022/06/28 11:19:56 - mmengine - INFO - Epoch(train) [61][3700/3757] lr: 1.000e-03 eta: 10:48:23 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 7.9981 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2395 loss: 1.2395 2022/06/28 11:20:02 - mmengine - INFO - Epoch(train) [61][3720/3757] lr: 1.000e-03 eta: 10:48:17 time: 0.202 data_time: 0.013 memory: 5148 grad_norm: 8.1828 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3629 loss: 1.3629 2022/06/28 11:20:07 - mmengine - INFO - Epoch(train) [61][3740/3757] lr: 1.000e-03 eta: 10:48:12 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 9.1435 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3056 loss: 1.3056 2022/06/28 11:20:11 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 11:20:18 - mmengine - INFO - Epoch(val) [61][20/310] eta: 0:01:19 time: 0.735 data_time: 0.664 memory: 5148 2022/06/28 11:20:22 - mmengine - INFO - Epoch(val) [61][40/310] eta: 0:01:01 time: 0.075 data_time: 0.005 memory: 1367 2022/06/28 11:20:28 - mmengine - INFO - Epoch(val) [61][60/310] eta: 0:01:12 time: 0.801 data_time: 0.729 memory: 1367 2022/06/28 11:20:33 - mmengine - INFO - Epoch(val) [61][80/310] eta: 0:00:56 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 11:20:38 - mmengine - INFO - Epoch(val) [61][100/310] eta: 0:01:05 time: 0.891 data_time: 0.820 memory: 1367 2022/06/28 11:20:43 - mmengine - INFO - Epoch(val) [61][120/310] eta: 0:00:44 time: 0.231 data_time: 0.159 memory: 1367 2022/06/28 11:20:49 - mmengine - INFO - Epoch(val) [61][140/310] eta: 0:01:04 time: 1.509 data_time: 1.437 memory: 1367 2022/06/28 11:20:54 - mmengine - INFO - Epoch(val) [61][160/310] eta: 0:00:34 time: 0.257 data_time: 0.182 memory: 1367 2022/06/28 11:21:00 - mmengine - INFO - Epoch(val) [61][180/310] eta: 0:00:50 time: 1.524 data_time: 1.447 memory: 1367 2022/06/28 11:21:05 - mmengine - INFO - Epoch(val) [61][200/310] eta: 0:00:28 time: 0.083 data_time: 0.009 memory: 1367 2022/06/28 11:21:10 - mmengine - INFO - Epoch(val) [61][220/310] eta: 0:00:31 time: 0.772 data_time: 0.699 memory: 1367 2022/06/28 11:21:15 - mmengine - INFO - Epoch(val) [61][240/310] eta: 0:00:15 time: 0.080 data_time: 0.008 memory: 1367 2022/06/28 11:21:21 - mmengine - INFO - Epoch(val) [61][260/310] eta: 0:00:18 time: 0.482 data_time: 0.410 memory: 1367 2022/06/28 11:21:25 - mmengine - INFO - Epoch(val) [61][280/310] eta: 0:00:06 time: 0.081 data_time: 0.009 memory: 1367 2022/06/28 11:21:31 - mmengine - INFO - Epoch(val) [61][300/310] eta: 0:00:03 time: 0.657 data_time: 0.584 memory: 1367 2022/06/28 11:21:33 - mmengine - INFO - Epoch(val) [61][310/310] acc/top1: 0.6486 acc/top5: 0.8576 acc/mean1: 0.6484 2022/06/28 11:21:42 - mmengine - INFO - Epoch(train) [62][20/3757] lr: 1.000e-03 eta: 10:48:03 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 7.8804 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1097 loss: 1.1097 2022/06/28 11:21:48 - mmengine - INFO - Epoch(train) [62][40/3757] lr: 1.000e-03 eta: 10:47:58 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 7.8998 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1760 loss: 1.1760 2022/06/28 11:21:52 - mmengine - INFO - Epoch(train) [62][60/3757] lr: 1.000e-03 eta: 10:47:52 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 9.1307 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 0.9948 loss: 0.9948 2022/06/28 11:21:58 - mmengine - INFO - Epoch(train) [62][80/3757] lr: 1.000e-03 eta: 10:47:47 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 6.5966 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7108 loss: 1.7108 2022/06/28 11:22:04 - mmengine - INFO - Epoch(train) [62][100/3757] lr: 1.000e-03 eta: 10:47:42 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 7.4062 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3577 loss: 1.3577 2022/06/28 11:22:08 - mmengine - INFO - Epoch(train) [62][120/3757] lr: 1.000e-03 eta: 10:47:36 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 8.2976 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4038 loss: 1.4038 2022/06/28 11:22:14 - mmengine - INFO - Epoch(train) [62][140/3757] lr: 1.000e-03 eta: 10:47:31 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.9099 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3984 loss: 1.3984 2022/06/28 11:22:19 - mmengine - INFO - Epoch(train) [62][160/3757] lr: 1.000e-03 eta: 10:47:26 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.2453 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1586 loss: 1.1586 2022/06/28 11:22:24 - mmengine - INFO - Epoch(train) [62][180/3757] lr: 1.000e-03 eta: 10:47:20 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 6.4247 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5801 loss: 1.5801 2022/06/28 11:22:30 - mmengine - INFO - Epoch(train) [62][200/3757] lr: 1.000e-03 eta: 10:47:15 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 7.0398 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6184 loss: 1.6184 2022/06/28 11:22:36 - mmengine - INFO - Epoch(train) [62][220/3757] lr: 1.000e-03 eta: 10:47:10 time: 0.208 data_time: 0.022 memory: 5148 grad_norm: 7.5007 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0814 loss: 1.0814 2022/06/28 11:22:40 - mmengine - INFO - Epoch(train) [62][240/3757] lr: 1.000e-03 eta: 10:47:04 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 7.9223 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3287 loss: 1.3287 2022/06/28 11:22:46 - mmengine - INFO - Epoch(train) [62][260/3757] lr: 1.000e-03 eta: 10:46:59 time: 0.289 data_time: 0.007 memory: 5148 grad_norm: 7.3497 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5165 loss: 1.5165 2022/06/28 11:22:51 - mmengine - INFO - Epoch(train) [62][280/3757] lr: 1.000e-03 eta: 10:46:54 time: 0.365 data_time: 0.017 memory: 5148 grad_norm: 7.7670 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3311 loss: 1.3311 2022/06/28 11:22:56 - mmengine - INFO - Epoch(train) [62][300/3757] lr: 1.000e-03 eta: 10:46:49 time: 0.201 data_time: 0.013 memory: 5148 grad_norm: 7.2449 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3351 loss: 1.3351 2022/06/28 11:23:02 - mmengine - INFO - Epoch(train) [62][320/3757] lr: 1.000e-03 eta: 10:46:43 time: 0.789 data_time: 0.007 memory: 5148 grad_norm: 7.5689 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6976 loss: 1.6976 2022/06/28 11:23:07 - mmengine - INFO - Epoch(train) [62][340/3757] lr: 1.000e-03 eta: 10:46:38 time: 0.398 data_time: 0.039 memory: 5148 grad_norm: 6.1176 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3169 loss: 1.3169 2022/06/28 11:23:12 - mmengine - INFO - Epoch(train) [62][360/3757] lr: 1.000e-03 eta: 10:46:32 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 7.4790 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1949 loss: 1.1949 2022/06/28 11:23:17 - mmengine - INFO - Epoch(train) [62][380/3757] lr: 1.000e-03 eta: 10:46:27 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 7.3098 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5682 loss: 1.5682 2022/06/28 11:23:23 - mmengine - INFO - Epoch(train) [62][400/3757] lr: 1.000e-03 eta: 10:46:22 time: 0.211 data_time: 0.029 memory: 5148 grad_norm: 7.9210 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4833 loss: 1.4833 2022/06/28 11:23:28 - mmengine - INFO - Epoch(train) [62][420/3757] lr: 1.000e-03 eta: 10:46:16 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 8.5066 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0737 loss: 1.0737 2022/06/28 11:23:33 - mmengine - INFO - Epoch(train) [62][440/3757] lr: 1.000e-03 eta: 10:46:11 time: 0.219 data_time: 0.010 memory: 5148 grad_norm: 6.6359 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3203 loss: 1.3203 2022/06/28 11:23:39 - mmengine - INFO - Epoch(train) [62][460/3757] lr: 1.000e-03 eta: 10:46:06 time: 0.920 data_time: 0.012 memory: 5148 grad_norm: 9.2525 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1307 loss: 1.1307 2022/06/28 11:23:44 - mmengine - INFO - Epoch(train) [62][480/3757] lr: 1.000e-03 eta: 10:46:00 time: 0.209 data_time: 0.011 memory: 5148 grad_norm: 7.8720 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1924 loss: 1.1924 2022/06/28 11:23:49 - mmengine - INFO - Epoch(train) [62][500/3757] lr: 1.000e-03 eta: 10:45:55 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 7.4442 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3297 loss: 1.3297 2022/06/28 11:23:55 - mmengine - INFO - Epoch(train) [62][520/3757] lr: 1.000e-03 eta: 10:45:50 time: 1.150 data_time: 0.010 memory: 5148 grad_norm: 7.0549 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9051 loss: 1.9051 2022/06/28 11:23:59 - mmengine - INFO - Epoch(train) [62][540/3757] lr: 1.000e-03 eta: 10:45:44 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 7.1340 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2279 loss: 1.2279 2022/06/28 11:24:05 - mmengine - INFO - Epoch(train) [62][560/3757] lr: 1.000e-03 eta: 10:45:39 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 8.3711 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3241 loss: 1.3241 2022/06/28 11:24:11 - mmengine - INFO - Epoch(train) [62][580/3757] lr: 1.000e-03 eta: 10:45:34 time: 1.136 data_time: 0.010 memory: 5148 grad_norm: 7.7839 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0189 loss: 1.0189 2022/06/28 11:24:16 - mmengine - INFO - Epoch(train) [62][600/3757] lr: 1.000e-03 eta: 10:45:29 time: 0.202 data_time: 0.014 memory: 5148 grad_norm: 8.1300 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3796 loss: 1.3796 2022/06/28 11:24:21 - mmengine - INFO - Epoch(train) [62][620/3757] lr: 1.000e-03 eta: 10:45:23 time: 0.220 data_time: 0.013 memory: 5148 grad_norm: 7.7971 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7465 loss: 1.7465 2022/06/28 11:24:27 - mmengine - INFO - Epoch(train) [62][640/3757] lr: 1.000e-03 eta: 10:45:18 time: 0.911 data_time: 0.007 memory: 5148 grad_norm: 7.4414 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4762 loss: 1.4762 2022/06/28 11:24:32 - mmengine - INFO - Epoch(train) [62][660/3757] lr: 1.000e-03 eta: 10:45:13 time: 0.192 data_time: 0.010 memory: 5148 grad_norm: 7.2241 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0213 loss: 1.0213 2022/06/28 11:24:37 - mmengine - INFO - Epoch(train) [62][680/3757] lr: 1.000e-03 eta: 10:45:07 time: 0.212 data_time: 0.006 memory: 5148 grad_norm: 8.6317 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2835 loss: 1.2835 2022/06/28 11:24:42 - mmengine - INFO - Epoch(train) [62][700/3757] lr: 1.000e-03 eta: 10:45:02 time: 1.004 data_time: 0.007 memory: 5148 grad_norm: 8.7500 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1309 loss: 1.1309 2022/06/28 11:24:48 - mmengine - INFO - Epoch(train) [62][720/3757] lr: 1.000e-03 eta: 10:44:57 time: 0.201 data_time: 0.013 memory: 5148 grad_norm: 7.2126 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4684 loss: 1.4684 2022/06/28 11:24:53 - mmengine - INFO - Epoch(train) [62][740/3757] lr: 1.000e-03 eta: 10:44:52 time: 0.223 data_time: 0.007 memory: 5148 grad_norm: 6.1438 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2264 loss: 1.2264 2022/06/28 11:24:59 - mmengine - INFO - Epoch(train) [62][760/3757] lr: 1.000e-03 eta: 10:44:46 time: 0.685 data_time: 0.010 memory: 5148 grad_norm: 6.9748 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3554 loss: 1.3554 2022/06/28 11:25:04 - mmengine - INFO - Epoch(train) [62][780/3757] lr: 1.000e-03 eta: 10:44:41 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 7.2396 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4745 loss: 1.4745 2022/06/28 11:25:10 - mmengine - INFO - Epoch(train) [62][800/3757] lr: 1.000e-03 eta: 10:44:36 time: 0.214 data_time: 0.006 memory: 5148 grad_norm: 8.0328 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3898 loss: 1.3898 2022/06/28 11:25:14 - mmengine - INFO - Epoch(train) [62][820/3757] lr: 1.000e-03 eta: 10:44:30 time: 0.212 data_time: 0.013 memory: 5148 grad_norm: 9.1826 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2273 loss: 1.2273 2022/06/28 11:25:14 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 11:25:18 - mmengine - INFO - Epoch(train) [62][840/3757] lr: 1.000e-03 eta: 10:44:24 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 7.2986 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1057 loss: 1.1057 2022/06/28 11:25:23 - mmengine - INFO - Epoch(train) [62][860/3757] lr: 1.000e-03 eta: 10:44:19 time: 0.205 data_time: 0.014 memory: 5148 grad_norm: 7.5954 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2120 loss: 1.2120 2022/06/28 11:25:29 - mmengine - INFO - Epoch(train) [62][880/3757] lr: 1.000e-03 eta: 10:44:13 time: 0.234 data_time: 0.007 memory: 5148 grad_norm: 6.8407 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2193 loss: 1.2193 2022/06/28 11:25:35 - mmengine - INFO - Epoch(train) [62][900/3757] lr: 1.000e-03 eta: 10:44:08 time: 0.218 data_time: 0.008 memory: 5148 grad_norm: 9.0706 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5771 loss: 1.5771 2022/06/28 11:25:40 - mmengine - INFO - Epoch(train) [62][920/3757] lr: 1.000e-03 eta: 10:44:03 time: 0.201 data_time: 0.020 memory: 5148 grad_norm: 7.7837 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2502 loss: 1.2502 2022/06/28 11:25:46 - mmengine - INFO - Epoch(train) [62][940/3757] lr: 1.000e-03 eta: 10:43:58 time: 0.730 data_time: 0.007 memory: 5148 grad_norm: 6.4339 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3143 loss: 1.3143 2022/06/28 11:25:51 - mmengine - INFO - Epoch(train) [62][960/3757] lr: 1.000e-03 eta: 10:43:53 time: 0.210 data_time: 0.010 memory: 5148 grad_norm: 7.7124 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.1934 loss: 1.1934 2022/06/28 11:25:56 - mmengine - INFO - Epoch(train) [62][980/3757] lr: 1.000e-03 eta: 10:43:48 time: 0.210 data_time: 0.006 memory: 5148 grad_norm: 6.5325 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2914 loss: 1.2914 2022/06/28 11:26:02 - mmengine - INFO - Epoch(train) [62][1000/3757] lr: 1.000e-03 eta: 10:43:42 time: 0.745 data_time: 0.008 memory: 5148 grad_norm: 8.3376 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3892 loss: 1.3892 2022/06/28 11:26:07 - mmengine - INFO - Epoch(train) [62][1020/3757] lr: 1.000e-03 eta: 10:43:37 time: 0.224 data_time: 0.007 memory: 5148 grad_norm: 7.4705 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2484 loss: 1.2484 2022/06/28 11:26:12 - mmengine - INFO - Epoch(train) [62][1040/3757] lr: 1.000e-03 eta: 10:43:32 time: 0.220 data_time: 0.015 memory: 5148 grad_norm: 7.2415 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6376 loss: 1.6376 2022/06/28 11:26:18 - mmengine - INFO - Epoch(train) [62][1060/3757] lr: 1.000e-03 eta: 10:43:26 time: 0.891 data_time: 0.007 memory: 5148 grad_norm: 7.8242 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5206 loss: 1.5206 2022/06/28 11:26:23 - mmengine - INFO - Epoch(train) [62][1080/3757] lr: 1.000e-03 eta: 10:43:21 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 6.5978 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3546 loss: 1.3546 2022/06/28 11:26:28 - mmengine - INFO - Epoch(train) [62][1100/3757] lr: 1.000e-03 eta: 10:43:16 time: 0.214 data_time: 0.010 memory: 5148 grad_norm: 7.6404 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4561 loss: 1.4561 2022/06/28 11:26:34 - mmengine - INFO - Epoch(train) [62][1120/3757] lr: 1.000e-03 eta: 10:43:11 time: 1.222 data_time: 0.010 memory: 5148 grad_norm: 7.2940 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2795 loss: 1.2795 2022/06/28 11:26:39 - mmengine - INFO - Epoch(train) [62][1140/3757] lr: 1.000e-03 eta: 10:43:05 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.0862 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3332 loss: 1.3332 2022/06/28 11:26:45 - mmengine - INFO - Epoch(train) [62][1160/3757] lr: 1.000e-03 eta: 10:43:00 time: 0.262 data_time: 0.014 memory: 5148 grad_norm: 7.2722 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3100 loss: 1.3100 2022/06/28 11:26:50 - mmengine - INFO - Epoch(train) [62][1180/3757] lr: 1.000e-03 eta: 10:42:55 time: 0.426 data_time: 0.011 memory: 5148 grad_norm: 8.0835 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4124 loss: 1.4124 2022/06/28 11:26:55 - mmengine - INFO - Epoch(train) [62][1200/3757] lr: 1.000e-03 eta: 10:42:49 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 8.2690 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5291 loss: 1.5291 2022/06/28 11:27:00 - mmengine - INFO - Epoch(train) [62][1220/3757] lr: 1.000e-03 eta: 10:42:44 time: 0.199 data_time: 0.015 memory: 5148 grad_norm: 8.8216 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1500 loss: 1.1500 2022/06/28 11:27:06 - mmengine - INFO - Epoch(train) [62][1240/3757] lr: 1.000e-03 eta: 10:42:39 time: 0.658 data_time: 0.025 memory: 5148 grad_norm: 6.2481 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2599 loss: 1.2599 2022/06/28 11:27:11 - mmengine - INFO - Epoch(train) [62][1260/3757] lr: 1.000e-03 eta: 10:42:33 time: 0.207 data_time: 0.006 memory: 5148 grad_norm: 8.2120 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0884 loss: 1.0884 2022/06/28 11:27:16 - mmengine - INFO - Epoch(train) [62][1280/3757] lr: 1.000e-03 eta: 10:42:28 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 8.0434 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8246 loss: 1.8246 2022/06/28 11:27:22 - mmengine - INFO - Epoch(train) [62][1300/3757] lr: 1.000e-03 eta: 10:42:23 time: 0.759 data_time: 0.010 memory: 5148 grad_norm: 8.6430 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4484 loss: 1.4484 2022/06/28 11:27:28 - mmengine - INFO - Epoch(train) [62][1320/3757] lr: 1.000e-03 eta: 10:42:18 time: 0.213 data_time: 0.011 memory: 5148 grad_norm: 7.8692 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2971 loss: 1.2971 2022/06/28 11:27:32 - mmengine - INFO - Epoch(train) [62][1340/3757] lr: 1.000e-03 eta: 10:42:12 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 7.9739 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2343 loss: 1.2343 2022/06/28 11:27:37 - mmengine - INFO - Epoch(train) [62][1360/3757] lr: 1.000e-03 eta: 10:42:06 time: 0.851 data_time: 0.015 memory: 5148 grad_norm: 6.8402 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2327 loss: 1.2327 2022/06/28 11:27:41 - mmengine - INFO - Epoch(train) [62][1380/3757] lr: 1.000e-03 eta: 10:42:01 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.4441 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2731 loss: 1.2731 2022/06/28 11:27:47 - mmengine - INFO - Epoch(train) [62][1400/3757] lr: 1.000e-03 eta: 10:41:56 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 7.3195 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3571 loss: 1.3571 2022/06/28 11:27:53 - mmengine - INFO - Epoch(train) [62][1420/3757] lr: 1.000e-03 eta: 10:41:50 time: 1.035 data_time: 0.013 memory: 5148 grad_norm: 6.6694 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4984 loss: 1.4984 2022/06/28 11:27:58 - mmengine - INFO - Epoch(train) [62][1440/3757] lr: 1.000e-03 eta: 10:41:45 time: 0.198 data_time: 0.012 memory: 5148 grad_norm: 7.0424 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3219 loss: 1.3219 2022/06/28 11:28:03 - mmengine - INFO - Epoch(train) [62][1460/3757] lr: 1.000e-03 eta: 10:41:40 time: 0.496 data_time: 0.011 memory: 5148 grad_norm: 6.8552 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5945 loss: 1.5945 2022/06/28 11:28:09 - mmengine - INFO - Epoch(train) [62][1480/3757] lr: 1.000e-03 eta: 10:41:34 time: 0.424 data_time: 0.011 memory: 5148 grad_norm: 8.0289 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4810 loss: 1.4810 2022/06/28 11:28:14 - mmengine - INFO - Epoch(train) [62][1500/3757] lr: 1.000e-03 eta: 10:41:29 time: 0.216 data_time: 0.010 memory: 5148 grad_norm: 8.5878 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6343 loss: 1.6343 2022/06/28 11:28:19 - mmengine - INFO - Epoch(train) [62][1520/3757] lr: 1.000e-03 eta: 10:41:24 time: 0.207 data_time: 0.014 memory: 5148 grad_norm: 7.9041 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0067 loss: 1.0067 2022/06/28 11:28:25 - mmengine - INFO - Epoch(train) [62][1540/3757] lr: 1.000e-03 eta: 10:41:18 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 7.0530 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4802 loss: 1.4802 2022/06/28 11:28:30 - mmengine - INFO - Epoch(train) [62][1560/3757] lr: 1.000e-03 eta: 10:41:13 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 7.2854 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1852 loss: 1.1852 2022/06/28 11:28:35 - mmengine - INFO - Epoch(train) [62][1580/3757] lr: 1.000e-03 eta: 10:41:08 time: 0.207 data_time: 0.014 memory: 5148 grad_norm: 8.2211 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1638 loss: 1.1638 2022/06/28 11:28:41 - mmengine - INFO - Epoch(train) [62][1600/3757] lr: 1.000e-03 eta: 10:41:03 time: 0.221 data_time: 0.008 memory: 5148 grad_norm: 8.8080 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5788 loss: 1.5788 2022/06/28 11:28:46 - mmengine - INFO - Epoch(train) [62][1620/3757] lr: 1.000e-03 eta: 10:40:58 time: 0.217 data_time: 0.008 memory: 5148 grad_norm: 7.0127 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3346 loss: 1.3346 2022/06/28 11:28:52 - mmengine - INFO - Epoch(train) [62][1640/3757] lr: 1.000e-03 eta: 10:40:52 time: 0.197 data_time: 0.019 memory: 5148 grad_norm: 8.2139 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3388 loss: 1.3388 2022/06/28 11:28:58 - mmengine - INFO - Epoch(train) [62][1660/3757] lr: 1.000e-03 eta: 10:40:47 time: 0.223 data_time: 0.007 memory: 5148 grad_norm: 7.1039 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4657 loss: 1.4657 2022/06/28 11:29:02 - mmengine - INFO - Epoch(train) [62][1680/3757] lr: 1.000e-03 eta: 10:40:42 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 8.1048 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3677 loss: 1.3677 2022/06/28 11:29:08 - mmengine - INFO - Epoch(train) [62][1700/3757] lr: 1.000e-03 eta: 10:40:36 time: 0.200 data_time: 0.019 memory: 5148 grad_norm: 6.9346 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2788 loss: 1.2788 2022/06/28 11:29:14 - mmengine - INFO - Epoch(train) [62][1720/3757] lr: 1.000e-03 eta: 10:40:31 time: 0.215 data_time: 0.018 memory: 5148 grad_norm: 7.5402 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4992 loss: 1.4992 2022/06/28 11:29:18 - mmengine - INFO - Epoch(train) [62][1740/3757] lr: 1.000e-03 eta: 10:40:26 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 7.0429 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1241 loss: 1.1241 2022/06/28 11:29:24 - mmengine - INFO - Epoch(train) [62][1760/3757] lr: 1.000e-03 eta: 10:40:20 time: 0.204 data_time: 0.018 memory: 5148 grad_norm: 7.1485 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5445 loss: 1.5445 2022/06/28 11:29:29 - mmengine - INFO - Epoch(train) [62][1780/3757] lr: 1.000e-03 eta: 10:40:15 time: 0.207 data_time: 0.014 memory: 5148 grad_norm: 6.9586 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4357 loss: 1.4357 2022/06/28 11:29:34 - mmengine - INFO - Epoch(train) [62][1800/3757] lr: 1.000e-03 eta: 10:40:09 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 7.8325 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4924 loss: 1.4924 2022/06/28 11:29:39 - mmengine - INFO - Epoch(train) [62][1820/3757] lr: 1.000e-03 eta: 10:40:04 time: 0.208 data_time: 0.017 memory: 5148 grad_norm: 7.3588 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2082 loss: 1.2082 2022/06/28 11:29:40 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 11:29:45 - mmengine - INFO - Epoch(train) [62][1840/3757] lr: 1.000e-03 eta: 10:39:59 time: 0.215 data_time: 0.014 memory: 5148 grad_norm: 6.6075 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4000 loss: 1.4000 2022/06/28 11:29:50 - mmengine - INFO - Epoch(train) [62][1860/3757] lr: 1.000e-03 eta: 10:39:54 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 8.4746 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2691 loss: 1.2691 2022/06/28 11:29:56 - mmengine - INFO - Epoch(train) [62][1880/3757] lr: 1.000e-03 eta: 10:39:48 time: 0.279 data_time: 0.020 memory: 5148 grad_norm: 8.0559 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6738 loss: 1.6738 2022/06/28 11:30:01 - mmengine - INFO - Epoch(train) [62][1900/3757] lr: 1.000e-03 eta: 10:39:43 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 6.9982 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1015 loss: 1.1015 2022/06/28 11:30:06 - mmengine - INFO - Epoch(train) [62][1920/3757] lr: 1.000e-03 eta: 10:39:38 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 7.3926 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4527 loss: 1.4527 2022/06/28 11:30:12 - mmengine - INFO - Epoch(train) [62][1940/3757] lr: 1.000e-03 eta: 10:39:33 time: 0.203 data_time: 0.024 memory: 5148 grad_norm: 7.0078 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1169 loss: 1.1169 2022/06/28 11:30:17 - mmengine - INFO - Epoch(train) [62][1960/3757] lr: 1.000e-03 eta: 10:39:27 time: 0.211 data_time: 0.012 memory: 5148 grad_norm: 8.4110 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4645 loss: 1.4645 2022/06/28 11:30:22 - mmengine - INFO - Epoch(train) [62][1980/3757] lr: 1.000e-03 eta: 10:39:22 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.9835 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4646 loss: 1.4646 2022/06/28 11:30:28 - mmengine - INFO - Epoch(train) [62][2000/3757] lr: 1.000e-03 eta: 10:39:17 time: 0.211 data_time: 0.029 memory: 5148 grad_norm: 7.5341 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4440 loss: 1.4440 2022/06/28 11:30:33 - mmengine - INFO - Epoch(train) [62][2020/3757] lr: 1.000e-03 eta: 10:39:12 time: 0.202 data_time: 0.015 memory: 5148 grad_norm: 7.1205 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1407 loss: 1.1407 2022/06/28 11:30:39 - mmengine - INFO - Epoch(train) [62][2040/3757] lr: 1.000e-03 eta: 10:39:06 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 7.0665 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2444 loss: 1.2444 2022/06/28 11:30:43 - mmengine - INFO - Epoch(train) [62][2060/3757] lr: 1.000e-03 eta: 10:39:01 time: 0.202 data_time: 0.023 memory: 5148 grad_norm: 7.2869 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2102 loss: 1.2102 2022/06/28 11:30:49 - mmengine - INFO - Epoch(train) [62][2080/3757] lr: 1.000e-03 eta: 10:38:56 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 7.7527 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0396 loss: 1.0396 2022/06/28 11:30:55 - mmengine - INFO - Epoch(train) [62][2100/3757] lr: 1.000e-03 eta: 10:38:51 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 8.5412 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6136 loss: 1.6136 2022/06/28 11:31:00 - mmengine - INFO - Epoch(train) [62][2120/3757] lr: 1.000e-03 eta: 10:38:45 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 8.1249 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5200 loss: 1.5200 2022/06/28 11:31:06 - mmengine - INFO - Epoch(train) [62][2140/3757] lr: 1.000e-03 eta: 10:38:40 time: 0.265 data_time: 0.007 memory: 5148 grad_norm: 7.0305 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6681 loss: 1.6681 2022/06/28 11:31:11 - mmengine - INFO - Epoch(train) [62][2160/3757] lr: 1.000e-03 eta: 10:38:35 time: 0.212 data_time: 0.022 memory: 5148 grad_norm: 7.8961 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3983 loss: 1.3983 2022/06/28 11:31:16 - mmengine - INFO - Epoch(train) [62][2180/3757] lr: 1.000e-03 eta: 10:38:29 time: 0.299 data_time: 0.102 memory: 5148 grad_norm: 7.9324 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5918 loss: 1.5918 2022/06/28 11:31:22 - mmengine - INFO - Epoch(train) [62][2200/3757] lr: 1.000e-03 eta: 10:38:24 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 7.0732 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5970 loss: 1.5970 2022/06/28 11:31:27 - mmengine - INFO - Epoch(train) [62][2220/3757] lr: 1.000e-03 eta: 10:38:19 time: 0.210 data_time: 0.028 memory: 5148 grad_norm: 8.8867 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1137 loss: 1.1137 2022/06/28 11:31:31 - mmengine - INFO - Epoch(train) [62][2240/3757] lr: 1.000e-03 eta: 10:38:13 time: 0.216 data_time: 0.013 memory: 5148 grad_norm: 7.0898 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2818 loss: 1.2818 2022/06/28 11:31:37 - mmengine - INFO - Epoch(train) [62][2260/3757] lr: 1.000e-03 eta: 10:38:08 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.6790 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4401 loss: 1.4401 2022/06/28 11:31:43 - mmengine - INFO - Epoch(train) [62][2280/3757] lr: 1.000e-03 eta: 10:38:03 time: 0.217 data_time: 0.035 memory: 5148 grad_norm: 7.6062 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2294 loss: 1.2294 2022/06/28 11:31:48 - mmengine - INFO - Epoch(train) [62][2300/3757] lr: 1.000e-03 eta: 10:37:57 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 7.9847 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4551 loss: 1.4551 2022/06/28 11:31:53 - mmengine - INFO - Epoch(train) [62][2320/3757] lr: 1.000e-03 eta: 10:37:52 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 7.2779 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5539 loss: 1.5539 2022/06/28 11:31:59 - mmengine - INFO - Epoch(train) [62][2340/3757] lr: 1.000e-03 eta: 10:37:47 time: 0.209 data_time: 0.032 memory: 5148 grad_norm: 6.4735 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4722 loss: 1.4722 2022/06/28 11:32:04 - mmengine - INFO - Epoch(train) [62][2360/3757] lr: 1.000e-03 eta: 10:37:42 time: 0.200 data_time: 0.012 memory: 5148 grad_norm: 6.8169 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3725 loss: 1.3725 2022/06/28 11:32:10 - mmengine - INFO - Epoch(train) [62][2380/3757] lr: 1.000e-03 eta: 10:37:36 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 8.5300 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9419 loss: 0.9419 2022/06/28 11:32:14 - mmengine - INFO - Epoch(train) [62][2400/3757] lr: 1.000e-03 eta: 10:37:30 time: 0.199 data_time: 0.016 memory: 5148 grad_norm: 7.7169 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5192 loss: 1.5192 2022/06/28 11:32:19 - mmengine - INFO - Epoch(train) [62][2420/3757] lr: 1.000e-03 eta: 10:37:25 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 6.3103 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1219 loss: 1.1219 2022/06/28 11:32:25 - mmengine - INFO - Epoch(train) [62][2440/3757] lr: 1.000e-03 eta: 10:37:20 time: 0.202 data_time: 0.013 memory: 5148 grad_norm: 6.7591 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2462 loss: 1.2462 2022/06/28 11:32:30 - mmengine - INFO - Epoch(train) [62][2460/3757] lr: 1.000e-03 eta: 10:37:14 time: 0.198 data_time: 0.015 memory: 5148 grad_norm: 7.1851 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4677 loss: 1.4677 2022/06/28 11:32:35 - mmengine - INFO - Epoch(train) [62][2480/3757] lr: 1.000e-03 eta: 10:37:09 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 7.7274 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3022 loss: 1.3022 2022/06/28 11:32:41 - mmengine - INFO - Epoch(train) [62][2500/3757] lr: 1.000e-03 eta: 10:37:04 time: 0.206 data_time: 0.013 memory: 5148 grad_norm: 7.0245 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5208 loss: 1.5208 2022/06/28 11:32:46 - mmengine - INFO - Epoch(train) [62][2520/3757] lr: 1.000e-03 eta: 10:36:59 time: 0.205 data_time: 0.016 memory: 5148 grad_norm: 7.3366 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4049 loss: 1.4049 2022/06/28 11:32:51 - mmengine - INFO - Epoch(train) [62][2540/3757] lr: 1.000e-03 eta: 10:36:53 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 7.7827 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2130 loss: 1.2130 2022/06/28 11:32:57 - mmengine - INFO - Epoch(train) [62][2560/3757] lr: 1.000e-03 eta: 10:36:48 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 6.4315 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5035 loss: 1.5035 2022/06/28 11:33:02 - mmengine - INFO - Epoch(train) [62][2580/3757] lr: 1.000e-03 eta: 10:36:43 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 7.3316 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4439 loss: 1.4439 2022/06/28 11:33:07 - mmengine - INFO - Epoch(train) [62][2600/3757] lr: 1.000e-03 eta: 10:36:37 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 8.0270 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6821 loss: 1.6821 2022/06/28 11:33:12 - mmengine - INFO - Epoch(train) [62][2620/3757] lr: 1.000e-03 eta: 10:36:32 time: 0.209 data_time: 0.012 memory: 5148 grad_norm: 7.7411 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0492 loss: 1.0492 2022/06/28 11:33:18 - mmengine - INFO - Epoch(train) [62][2640/3757] lr: 1.000e-03 eta: 10:36:27 time: 0.201 data_time: 0.012 memory: 5148 grad_norm: 8.0362 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3800 loss: 1.3800 2022/06/28 11:33:23 - mmengine - INFO - Epoch(train) [62][2660/3757] lr: 1.000e-03 eta: 10:36:21 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 7.7999 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2688 loss: 1.2688 2022/06/28 11:33:28 - mmengine - INFO - Epoch(train) [62][2680/3757] lr: 1.000e-03 eta: 10:36:16 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 8.4026 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5685 loss: 1.5685 2022/06/28 11:33:34 - mmengine - INFO - Epoch(train) [62][2700/3757] lr: 1.000e-03 eta: 10:36:11 time: 0.200 data_time: 0.013 memory: 5148 grad_norm: 7.0458 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4539 loss: 1.4539 2022/06/28 11:33:39 - mmengine - INFO - Epoch(train) [62][2720/3757] lr: 1.000e-03 eta: 10:36:06 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 7.0496 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1856 loss: 1.1856 2022/06/28 11:33:45 - mmengine - INFO - Epoch(train) [62][2740/3757] lr: 1.000e-03 eta: 10:36:00 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 8.5280 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3697 loss: 1.3697 2022/06/28 11:33:50 - mmengine - INFO - Epoch(train) [62][2760/3757] lr: 1.000e-03 eta: 10:35:55 time: 0.238 data_time: 0.011 memory: 5148 grad_norm: 7.4322 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3725 loss: 1.3725 2022/06/28 11:33:55 - mmengine - INFO - Epoch(train) [62][2780/3757] lr: 1.000e-03 eta: 10:35:50 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 7.7399 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7882 loss: 1.7882 2022/06/28 11:34:01 - mmengine - INFO - Epoch(train) [62][2800/3757] lr: 1.000e-03 eta: 10:35:45 time: 0.219 data_time: 0.011 memory: 5148 grad_norm: 7.4382 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3826 loss: 1.3826 2022/06/28 11:34:06 - mmengine - INFO - Epoch(train) [62][2820/3757] lr: 1.000e-03 eta: 10:35:39 time: 0.208 data_time: 0.021 memory: 5148 grad_norm: 8.5894 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1655 loss: 1.1655 2022/06/28 11:34:07 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 11:34:11 - mmengine - INFO - Epoch(train) [62][2840/3757] lr: 1.000e-03 eta: 10:35:34 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 6.7391 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5308 loss: 1.5308 2022/06/28 11:34:17 - mmengine - INFO - Epoch(train) [62][2860/3757] lr: 1.000e-03 eta: 10:35:29 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 5.6191 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4897 loss: 1.4897 2022/06/28 11:34:22 - mmengine - INFO - Epoch(train) [62][2880/3757] lr: 1.000e-03 eta: 10:35:23 time: 0.195 data_time: 0.012 memory: 5148 grad_norm: 7.7556 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3864 loss: 1.3864 2022/06/28 11:34:27 - mmengine - INFO - Epoch(train) [62][2900/3757] lr: 1.000e-03 eta: 10:35:18 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 7.6237 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5530 loss: 1.5530 2022/06/28 11:34:32 - mmengine - INFO - Epoch(train) [62][2920/3757] lr: 1.000e-03 eta: 10:35:12 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 7.6002 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4241 loss: 1.4241 2022/06/28 11:34:38 - mmengine - INFO - Epoch(train) [62][2940/3757] lr: 1.000e-03 eta: 10:35:07 time: 0.213 data_time: 0.027 memory: 5148 grad_norm: 6.9295 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6086 loss: 1.6086 2022/06/28 11:34:43 - mmengine - INFO - Epoch(train) [62][2960/3757] lr: 1.000e-03 eta: 10:35:02 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 8.3179 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2714 loss: 1.2714 2022/06/28 11:34:49 - mmengine - INFO - Epoch(train) [62][2980/3757] lr: 1.000e-03 eta: 10:34:57 time: 0.201 data_time: 0.019 memory: 5148 grad_norm: 7.5179 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4902 loss: 1.4902 2022/06/28 11:34:54 - mmengine - INFO - Epoch(train) [62][3000/3757] lr: 1.000e-03 eta: 10:34:51 time: 0.199 data_time: 0.016 memory: 5148 grad_norm: 7.2388 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1355 loss: 1.1355 2022/06/28 11:34:59 - mmengine - INFO - Epoch(train) [62][3020/3757] lr: 1.000e-03 eta: 10:34:46 time: 0.219 data_time: 0.008 memory: 5148 grad_norm: 7.8463 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1000 loss: 1.1000 2022/06/28 11:35:05 - mmengine - INFO - Epoch(train) [62][3040/3757] lr: 1.000e-03 eta: 10:34:41 time: 0.208 data_time: 0.015 memory: 5148 grad_norm: 8.9176 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2817 loss: 1.2817 2022/06/28 11:35:10 - mmengine - INFO - Epoch(train) [62][3060/3757] lr: 1.000e-03 eta: 10:34:35 time: 0.205 data_time: 0.013 memory: 5148 grad_norm: 8.3441 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1633 loss: 1.1633 2022/06/28 11:35:15 - mmengine - INFO - Epoch(train) [62][3080/3757] lr: 1.000e-03 eta: 10:34:30 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 7.1719 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0513 loss: 1.0513 2022/06/28 11:35:20 - mmengine - INFO - Epoch(train) [62][3100/3757] lr: 1.000e-03 eta: 10:34:25 time: 0.203 data_time: 0.012 memory: 5148 grad_norm: 7.0964 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3278 loss: 1.3278 2022/06/28 11:35:26 - mmengine - INFO - Epoch(train) [62][3120/3757] lr: 1.000e-03 eta: 10:34:19 time: 0.208 data_time: 0.016 memory: 5148 grad_norm: 7.5545 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1615 loss: 1.1615 2022/06/28 11:35:30 - mmengine - INFO - Epoch(train) [62][3140/3757] lr: 1.000e-03 eta: 10:34:14 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 8.5389 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1465 loss: 1.1465 2022/06/28 11:35:36 - mmengine - INFO - Epoch(train) [62][3160/3757] lr: 1.000e-03 eta: 10:34:09 time: 0.231 data_time: 0.012 memory: 5148 grad_norm: 7.2414 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1646 loss: 1.1646 2022/06/28 11:35:42 - mmengine - INFO - Epoch(train) [62][3180/3757] lr: 1.000e-03 eta: 10:34:03 time: 0.212 data_time: 0.014 memory: 5148 grad_norm: 8.0935 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3432 loss: 1.3432 2022/06/28 11:35:47 - mmengine - INFO - Epoch(train) [62][3200/3757] lr: 1.000e-03 eta: 10:33:58 time: 0.200 data_time: 0.013 memory: 5148 grad_norm: 7.3312 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4845 loss: 1.4845 2022/06/28 11:35:52 - mmengine - INFO - Epoch(train) [62][3220/3757] lr: 1.000e-03 eta: 10:33:53 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 8.1119 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3300 loss: 1.3300 2022/06/28 11:35:58 - mmengine - INFO - Epoch(train) [62][3240/3757] lr: 1.000e-03 eta: 10:33:48 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 7.8307 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4267 loss: 1.4267 2022/06/28 11:36:03 - mmengine - INFO - Epoch(train) [62][3260/3757] lr: 1.000e-03 eta: 10:33:42 time: 0.198 data_time: 0.019 memory: 5148 grad_norm: 8.0068 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3625 loss: 1.3625 2022/06/28 11:36:09 - mmengine - INFO - Epoch(train) [62][3280/3757] lr: 1.000e-03 eta: 10:33:37 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 7.3582 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1061 loss: 1.1061 2022/06/28 11:36:14 - mmengine - INFO - Epoch(train) [62][3300/3757] lr: 1.000e-03 eta: 10:33:32 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.0586 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0892 loss: 1.0892 2022/06/28 11:36:19 - mmengine - INFO - Epoch(train) [62][3320/3757] lr: 1.000e-03 eta: 10:33:26 time: 0.202 data_time: 0.017 memory: 5148 grad_norm: 7.7394 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4545 loss: 1.4545 2022/06/28 11:36:24 - mmengine - INFO - Epoch(train) [62][3340/3757] lr: 1.000e-03 eta: 10:33:21 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 8.3740 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2415 loss: 1.2415 2022/06/28 11:36:30 - mmengine - INFO - Epoch(train) [62][3360/3757] lr: 1.000e-03 eta: 10:33:16 time: 0.231 data_time: 0.006 memory: 5148 grad_norm: 8.5469 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6726 loss: 1.6726 2022/06/28 11:36:34 - mmengine - INFO - Epoch(train) [62][3380/3757] lr: 1.000e-03 eta: 10:33:10 time: 0.218 data_time: 0.017 memory: 5148 grad_norm: 7.3657 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2037 loss: 1.2037 2022/06/28 11:36:40 - mmengine - INFO - Epoch(train) [62][3400/3757] lr: 1.000e-03 eta: 10:33:05 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 8.0051 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0745 loss: 1.0745 2022/06/28 11:36:46 - mmengine - INFO - Epoch(train) [62][3420/3757] lr: 1.000e-03 eta: 10:33:00 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 6.4323 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1166 loss: 1.1166 2022/06/28 11:36:51 - mmengine - INFO - Epoch(train) [62][3440/3757] lr: 1.000e-03 eta: 10:32:55 time: 0.216 data_time: 0.027 memory: 5148 grad_norm: 7.9919 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6569 loss: 1.6569 2022/06/28 11:36:56 - mmengine - INFO - Epoch(train) [62][3460/3757] lr: 1.000e-03 eta: 10:32:49 time: 0.210 data_time: 0.014 memory: 5148 grad_norm: 7.0023 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0576 loss: 1.0576 2022/06/28 11:37:02 - mmengine - INFO - Epoch(train) [62][3480/3757] lr: 1.000e-03 eta: 10:32:44 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 8.0671 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6203 loss: 1.6203 2022/06/28 11:37:07 - mmengine - INFO - Epoch(train) [62][3500/3757] lr: 1.000e-03 eta: 10:32:39 time: 0.209 data_time: 0.024 memory: 5148 grad_norm: 9.0091 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2111 loss: 1.2111 2022/06/28 11:37:13 - mmengine - INFO - Epoch(train) [62][3520/3757] lr: 1.000e-03 eta: 10:32:34 time: 0.208 data_time: 0.010 memory: 5148 grad_norm: 7.7572 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1227 loss: 1.1227 2022/06/28 11:37:18 - mmengine - INFO - Epoch(train) [62][3540/3757] lr: 1.000e-03 eta: 10:32:28 time: 0.206 data_time: 0.013 memory: 5148 grad_norm: 9.3038 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0068 loss: 1.0068 2022/06/28 11:37:23 - mmengine - INFO - Epoch(train) [62][3560/3757] lr: 1.000e-03 eta: 10:32:22 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 7.7106 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3094 loss: 1.3094 2022/06/28 11:37:28 - mmengine - INFO - Epoch(train) [62][3580/3757] lr: 1.000e-03 eta: 10:32:17 time: 0.210 data_time: 0.010 memory: 5148 grad_norm: 8.1950 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5197 loss: 1.5197 2022/06/28 11:37:34 - mmengine - INFO - Epoch(train) [62][3600/3757] lr: 1.000e-03 eta: 10:32:12 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 6.5336 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9499 loss: 0.9499 2022/06/28 11:37:39 - mmengine - INFO - Epoch(train) [62][3620/3757] lr: 1.000e-03 eta: 10:32:07 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 9.0357 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4597 loss: 1.4597 2022/06/28 11:37:44 - mmengine - INFO - Epoch(train) [62][3640/3757] lr: 1.000e-03 eta: 10:32:01 time: 0.202 data_time: 0.012 memory: 5148 grad_norm: 7.1287 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3028 loss: 1.3028 2022/06/28 11:37:49 - mmengine - INFO - Epoch(train) [62][3660/3757] lr: 1.000e-03 eta: 10:31:56 time: 0.200 data_time: 0.015 memory: 5148 grad_norm: 8.3589 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5481 loss: 1.5481 2022/06/28 11:37:55 - mmengine - INFO - Epoch(train) [62][3680/3757] lr: 1.000e-03 eta: 10:31:51 time: 0.206 data_time: 0.018 memory: 5148 grad_norm: 6.5763 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1913 loss: 1.1913 2022/06/28 11:38:00 - mmengine - INFO - Epoch(train) [62][3700/3757] lr: 1.000e-03 eta: 10:31:46 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.9040 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0679 loss: 1.0679 2022/06/28 11:38:06 - mmengine - INFO - Epoch(train) [62][3720/3757] lr: 1.000e-03 eta: 10:31:40 time: 0.223 data_time: 0.041 memory: 5148 grad_norm: 7.6656 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6462 loss: 1.6462 2022/06/28 11:38:10 - mmengine - INFO - Epoch(train) [62][3740/3757] lr: 1.000e-03 eta: 10:31:35 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 6.0789 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9736 loss: 0.9736 2022/06/28 11:38:14 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 11:38:20 - mmengine - INFO - Epoch(val) [62][20/310] eta: 0:01:05 time: 0.083 data_time: 0.011 memory: 5148 2022/06/28 11:38:25 - mmengine - INFO - Epoch(val) [62][40/310] eta: 0:01:00 time: 0.081 data_time: 0.009 memory: 1367 2022/06/28 11:38:31 - mmengine - INFO - Epoch(val) [62][60/310] eta: 0:00:56 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 11:38:35 - mmengine - INFO - Epoch(val) [62][80/310] eta: 0:00:59 time: 0.101 data_time: 0.024 memory: 1367 2022/06/28 11:38:41 - mmengine - INFO - Epoch(val) [62][100/310] eta: 0:00:51 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 11:38:46 - mmengine - INFO - Epoch(val) [62][120/310] eta: 0:00:45 time: 0.165 data_time: 0.092 memory: 1367 2022/06/28 11:38:52 - mmengine - INFO - Epoch(val) [62][140/310] eta: 0:00:38 time: 0.130 data_time: 0.059 memory: 1367 2022/06/28 11:38:57 - mmengine - INFO - Epoch(val) [62][160/310] eta: 0:00:45 time: 0.855 data_time: 0.784 memory: 1367 2022/06/28 11:39:03 - mmengine - INFO - Epoch(val) [62][180/310] eta: 0:00:39 time: 0.427 data_time: 0.355 memory: 1367 2022/06/28 11:39:08 - mmengine - INFO - Epoch(val) [62][200/310] eta: 0:00:29 time: 0.431 data_time: 0.354 memory: 1367 2022/06/28 11:39:14 - mmengine - INFO - Epoch(val) [62][220/310] eta: 0:00:31 time: 0.091 data_time: 0.005 memory: 1367 2022/06/28 11:39:18 - mmengine - INFO - Epoch(val) [62][240/310] eta: 0:00:14 time: 0.081 data_time: 0.009 memory: 1367 2022/06/28 11:39:24 - mmengine - INFO - Epoch(val) [62][260/310] eta: 0:00:16 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 11:39:29 - mmengine - INFO - Epoch(val) [62][280/310] eta: 0:00:07 time: 0.081 data_time: 0.005 memory: 1367 2022/06/28 11:39:35 - mmengine - INFO - Epoch(val) [62][300/310] eta: 0:00:03 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 11:39:38 - mmengine - INFO - Epoch(val) [62][310/310] acc/top1: 0.6466 acc/top5: 0.8561 acc/mean1: 0.6465 2022/06/28 11:39:47 - mmengine - INFO - Epoch(train) [63][20/3757] lr: 1.000e-03 eta: 10:31:25 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 8.0947 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3826 loss: 1.3826 2022/06/28 11:39:52 - mmengine - INFO - Epoch(train) [63][40/3757] lr: 1.000e-03 eta: 10:31:20 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 6.9510 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4132 loss: 1.4132 2022/06/28 11:39:57 - mmengine - INFO - Epoch(train) [63][60/3757] lr: 1.000e-03 eta: 10:31:15 time: 0.192 data_time: 0.010 memory: 5148 grad_norm: 8.6682 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2922 loss: 1.2922 2022/06/28 11:39:59 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 11:40:03 - mmengine - INFO - Epoch(train) [63][80/3757] lr: 1.000e-03 eta: 10:31:10 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 7.1752 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6342 loss: 1.6342 2022/06/28 11:40:08 - mmengine - INFO - Epoch(train) [63][100/3757] lr: 1.000e-03 eta: 10:31:04 time: 0.208 data_time: 0.010 memory: 5148 grad_norm: 7.5998 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2191 loss: 1.2191 2022/06/28 11:40:13 - mmengine - INFO - Epoch(train) [63][120/3757] lr: 1.000e-03 eta: 10:30:59 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.0504 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5813 loss: 1.5813 2022/06/28 11:40:19 - mmengine - INFO - Epoch(train) [63][140/3757] lr: 1.000e-03 eta: 10:30:54 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 7.1745 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4302 loss: 1.4302 2022/06/28 11:40:24 - mmengine - INFO - Epoch(train) [63][160/3757] lr: 1.000e-03 eta: 10:30:49 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 8.0109 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6376 loss: 1.6376 2022/06/28 11:40:29 - mmengine - INFO - Epoch(train) [63][180/3757] lr: 1.000e-03 eta: 10:30:43 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 7.2890 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4888 loss: 1.4888 2022/06/28 11:40:35 - mmengine - INFO - Epoch(train) [63][200/3757] lr: 1.000e-03 eta: 10:30:38 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 8.0478 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3110 loss: 1.3110 2022/06/28 11:40:40 - mmengine - INFO - Epoch(train) [63][220/3757] lr: 1.000e-03 eta: 10:30:32 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 8.6303 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.6284 loss: 1.6284 2022/06/28 11:40:45 - mmengine - INFO - Epoch(train) [63][240/3757] lr: 1.000e-03 eta: 10:30:27 time: 0.195 data_time: 0.014 memory: 5148 grad_norm: 7.3755 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4946 loss: 1.4946 2022/06/28 11:40:51 - mmengine - INFO - Epoch(train) [63][260/3757] lr: 1.000e-03 eta: 10:30:22 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 8.4885 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6063 loss: 1.6063 2022/06/28 11:40:56 - mmengine - INFO - Epoch(train) [63][280/3757] lr: 1.000e-03 eta: 10:30:17 time: 0.220 data_time: 0.008 memory: 5148 grad_norm: 8.0604 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4785 loss: 1.4785 2022/06/28 11:41:01 - mmengine - INFO - Epoch(train) [63][300/3757] lr: 1.000e-03 eta: 10:30:11 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 6.8341 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2125 loss: 1.2125 2022/06/28 11:41:07 - mmengine - INFO - Epoch(train) [63][320/3757] lr: 1.000e-03 eta: 10:30:06 time: 0.198 data_time: 0.009 memory: 5148 grad_norm: 6.6948 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2437 loss: 1.2437 2022/06/28 11:41:12 - mmengine - INFO - Epoch(train) [63][340/3757] lr: 1.000e-03 eta: 10:30:00 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 8.0890 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.5864 loss: 1.5864 2022/06/28 11:41:17 - mmengine - INFO - Epoch(train) [63][360/3757] lr: 1.000e-03 eta: 10:29:55 time: 0.206 data_time: 0.013 memory: 5148 grad_norm: 6.5999 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4618 loss: 1.4618 2022/06/28 11:41:23 - mmengine - INFO - Epoch(train) [63][380/3757] lr: 1.000e-03 eta: 10:29:50 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 8.6926 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1142 loss: 1.1142 2022/06/28 11:41:27 - mmengine - INFO - Epoch(train) [63][400/3757] lr: 1.000e-03 eta: 10:29:44 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 7.5239 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2177 loss: 1.2177 2022/06/28 11:41:33 - mmengine - INFO - Epoch(train) [63][420/3757] lr: 1.000e-03 eta: 10:29:39 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 8.1642 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4376 loss: 1.4376 2022/06/28 11:41:39 - mmengine - INFO - Epoch(train) [63][440/3757] lr: 1.000e-03 eta: 10:29:34 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 8.0053 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6798 loss: 1.6798 2022/06/28 11:41:44 - mmengine - INFO - Epoch(train) [63][460/3757] lr: 1.000e-03 eta: 10:29:29 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 8.2988 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1246 loss: 1.1246 2022/06/28 11:41:50 - mmengine - INFO - Epoch(train) [63][480/3757] lr: 1.000e-03 eta: 10:29:24 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 7.3000 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3335 loss: 1.3335 2022/06/28 11:41:55 - mmengine - INFO - Epoch(train) [63][500/3757] lr: 1.000e-03 eta: 10:29:18 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 7.1090 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3463 loss: 1.3463 2022/06/28 11:42:01 - mmengine - INFO - Epoch(train) [63][520/3757] lr: 1.000e-03 eta: 10:29:13 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 8.0099 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2285 loss: 1.2285 2022/06/28 11:42:05 - mmengine - INFO - Epoch(train) [63][540/3757] lr: 1.000e-03 eta: 10:29:08 time: 0.200 data_time: 0.017 memory: 5148 grad_norm: 8.4338 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1981 loss: 1.1981 2022/06/28 11:42:11 - mmengine - INFO - Epoch(train) [63][560/3757] lr: 1.000e-03 eta: 10:29:02 time: 0.203 data_time: 0.012 memory: 5148 grad_norm: 9.3873 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4395 loss: 1.4395 2022/06/28 11:42:16 - mmengine - INFO - Epoch(train) [63][580/3757] lr: 1.000e-03 eta: 10:28:57 time: 0.248 data_time: 0.016 memory: 5148 grad_norm: 6.3096 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3798 loss: 1.3798 2022/06/28 11:42:21 - mmengine - INFO - Epoch(train) [63][600/3757] lr: 1.000e-03 eta: 10:28:52 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 8.6287 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4221 loss: 1.4221 2022/06/28 11:42:27 - mmengine - INFO - Epoch(train) [63][620/3757] lr: 1.000e-03 eta: 10:28:47 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 5.8586 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1796 loss: 1.1796 2022/06/28 11:42:33 - mmengine - INFO - Epoch(train) [63][640/3757] lr: 1.000e-03 eta: 10:28:41 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 7.9365 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2185 loss: 1.2185 2022/06/28 11:42:38 - mmengine - INFO - Epoch(train) [63][660/3757] lr: 1.000e-03 eta: 10:28:36 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 7.0157 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2690 loss: 1.2690 2022/06/28 11:42:43 - mmengine - INFO - Epoch(train) [63][680/3757] lr: 1.000e-03 eta: 10:28:31 time: 0.199 data_time: 0.013 memory: 5148 grad_norm: 8.8861 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6041 loss: 1.6041 2022/06/28 11:42:49 - mmengine - INFO - Epoch(train) [63][700/3757] lr: 1.000e-03 eta: 10:28:25 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 7.6970 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4108 loss: 1.4108 2022/06/28 11:42:54 - mmengine - INFO - Epoch(train) [63][720/3757] lr: 1.000e-03 eta: 10:28:20 time: 0.209 data_time: 0.010 memory: 5148 grad_norm: 8.3739 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5141 loss: 1.5141 2022/06/28 11:42:59 - mmengine - INFO - Epoch(train) [63][740/3757] lr: 1.000e-03 eta: 10:28:15 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 8.8495 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1654 loss: 1.1654 2022/06/28 11:43:05 - mmengine - INFO - Epoch(train) [63][760/3757] lr: 1.000e-03 eta: 10:28:10 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 7.4715 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3811 loss: 1.3811 2022/06/28 11:43:10 - mmengine - INFO - Epoch(train) [63][780/3757] lr: 1.000e-03 eta: 10:28:04 time: 0.197 data_time: 0.012 memory: 5148 grad_norm: 7.2851 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3954 loss: 1.3954 2022/06/28 11:43:14 - mmengine - INFO - Epoch(train) [63][800/3757] lr: 1.000e-03 eta: 10:27:58 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 7.2074 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1636 loss: 1.1636 2022/06/28 11:43:20 - mmengine - INFO - Epoch(train) [63][820/3757] lr: 1.000e-03 eta: 10:27:53 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 6.7030 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8956 loss: 0.8956 2022/06/28 11:43:25 - mmengine - INFO - Epoch(train) [63][840/3757] lr: 1.000e-03 eta: 10:27:48 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 7.0182 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1426 loss: 1.1426 2022/06/28 11:43:30 - mmengine - INFO - Epoch(train) [63][860/3757] lr: 1.000e-03 eta: 10:27:42 time: 0.197 data_time: 0.016 memory: 5148 grad_norm: 6.7685 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3216 loss: 1.3216 2022/06/28 11:43:36 - mmengine - INFO - Epoch(train) [63][880/3757] lr: 1.000e-03 eta: 10:27:38 time: 0.204 data_time: 0.025 memory: 5148 grad_norm: 8.7521 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2143 loss: 1.2143 2022/06/28 11:43:42 - mmengine - INFO - Epoch(train) [63][900/3757] lr: 1.000e-03 eta: 10:27:33 time: 0.223 data_time: 0.013 memory: 5148 grad_norm: 7.1391 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4501 loss: 1.4501 2022/06/28 11:43:47 - mmengine - INFO - Epoch(train) [63][920/3757] lr: 1.000e-03 eta: 10:27:27 time: 0.416 data_time: 0.018 memory: 5148 grad_norm: 6.4370 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1262 loss: 1.1262 2022/06/28 11:43:53 - mmengine - INFO - Epoch(train) [63][940/3757] lr: 1.000e-03 eta: 10:27:22 time: 0.231 data_time: 0.039 memory: 5148 grad_norm: 7.3515 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0283 loss: 1.0283 2022/06/28 11:43:58 - mmengine - INFO - Epoch(train) [63][960/3757] lr: 1.000e-03 eta: 10:27:16 time: 0.209 data_time: 0.011 memory: 5148 grad_norm: 7.9385 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5160 loss: 1.5160 2022/06/28 11:44:03 - mmengine - INFO - Epoch(train) [63][980/3757] lr: 1.000e-03 eta: 10:27:11 time: 0.215 data_time: 0.013 memory: 5148 grad_norm: 6.3085 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4889 loss: 1.4889 2022/06/28 11:44:09 - mmengine - INFO - Epoch(train) [63][1000/3757] lr: 1.000e-03 eta: 10:27:06 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 7.4478 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6080 loss: 1.6080 2022/06/28 11:44:14 - mmengine - INFO - Epoch(train) [63][1020/3757] lr: 1.000e-03 eta: 10:27:01 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 7.9981 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8462 loss: 1.8462 2022/06/28 11:44:19 - mmengine - INFO - Epoch(train) [63][1040/3757] lr: 1.000e-03 eta: 10:26:55 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 7.5430 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2835 loss: 1.2835 2022/06/28 11:44:24 - mmengine - INFO - Epoch(train) [63][1060/3757] lr: 1.000e-03 eta: 10:26:50 time: 0.197 data_time: 0.014 memory: 5148 grad_norm: 8.3796 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6230 loss: 1.6230 2022/06/28 11:44:25 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 11:44:29 - mmengine - INFO - Epoch(train) [63][1080/3757] lr: 1.000e-03 eta: 10:26:44 time: 0.230 data_time: 0.007 memory: 5148 grad_norm: 8.0052 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4639 loss: 1.4639 2022/06/28 11:44:34 - mmengine - INFO - Epoch(train) [63][1100/3757] lr: 1.000e-03 eta: 10:26:39 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 7.7504 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3216 loss: 1.3216 2022/06/28 11:44:40 - mmengine - INFO - Epoch(train) [63][1120/3757] lr: 1.000e-03 eta: 10:26:34 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 6.4165 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1310 loss: 1.1310 2022/06/28 11:44:45 - mmengine - INFO - Epoch(train) [63][1140/3757] lr: 1.000e-03 eta: 10:26:29 time: 0.653 data_time: 0.007 memory: 5148 grad_norm: 8.3430 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3112 loss: 1.3112 2022/06/28 11:44:50 - mmengine - INFO - Epoch(train) [63][1160/3757] lr: 1.000e-03 eta: 10:26:23 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 7.7596 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9814 loss: 0.9814 2022/06/28 11:44:56 - mmengine - INFO - Epoch(train) [63][1180/3757] lr: 1.000e-03 eta: 10:26:18 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 7.4008 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9495 loss: 0.9495 2022/06/28 11:45:02 - mmengine - INFO - Epoch(train) [63][1200/3757] lr: 1.000e-03 eta: 10:26:13 time: 1.045 data_time: 0.010 memory: 5148 grad_norm: 7.6530 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3540 loss: 1.3540 2022/06/28 11:45:07 - mmengine - INFO - Epoch(train) [63][1220/3757] lr: 1.000e-03 eta: 10:26:07 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 9.2038 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4335 loss: 1.4335 2022/06/28 11:45:12 - mmengine - INFO - Epoch(train) [63][1240/3757] lr: 1.000e-03 eta: 10:26:02 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 6.9586 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2603 loss: 1.2603 2022/06/28 11:45:17 - mmengine - INFO - Epoch(train) [63][1260/3757] lr: 1.000e-03 eta: 10:25:57 time: 0.484 data_time: 0.007 memory: 5148 grad_norm: 8.0938 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6569 loss: 1.6569 2022/06/28 11:45:23 - mmengine - INFO - Epoch(train) [63][1280/3757] lr: 1.000e-03 eta: 10:25:51 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 7.8612 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5486 loss: 1.5486 2022/06/28 11:45:28 - mmengine - INFO - Epoch(train) [63][1300/3757] lr: 1.000e-03 eta: 10:25:46 time: 0.207 data_time: 0.026 memory: 5148 grad_norm: 7.1166 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0093 loss: 1.0093 2022/06/28 11:45:33 - mmengine - INFO - Epoch(train) [63][1320/3757] lr: 1.000e-03 eta: 10:25:41 time: 0.680 data_time: 0.007 memory: 5148 grad_norm: 8.1203 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7178 loss: 1.7178 2022/06/28 11:45:39 - mmengine - INFO - Epoch(train) [63][1340/3757] lr: 1.000e-03 eta: 10:25:36 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 9.0260 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5759 loss: 1.5759 2022/06/28 11:45:44 - mmengine - INFO - Epoch(train) [63][1360/3757] lr: 1.000e-03 eta: 10:25:30 time: 0.220 data_time: 0.038 memory: 5148 grad_norm: 8.1429 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7745 loss: 1.7745 2022/06/28 11:45:50 - mmengine - INFO - Epoch(train) [63][1380/3757] lr: 1.000e-03 eta: 10:25:25 time: 0.227 data_time: 0.007 memory: 5148 grad_norm: 7.7467 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0276 loss: 1.0276 2022/06/28 11:45:55 - mmengine - INFO - Epoch(train) [63][1400/3757] lr: 1.000e-03 eta: 10:25:20 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.7953 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1758 loss: 1.1758 2022/06/28 11:46:00 - mmengine - INFO - Epoch(train) [63][1420/3757] lr: 1.000e-03 eta: 10:25:14 time: 0.203 data_time: 0.021 memory: 5148 grad_norm: 8.8935 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4240 loss: 1.4240 2022/06/28 11:46:05 - mmengine - INFO - Epoch(train) [63][1440/3757] lr: 1.000e-03 eta: 10:25:09 time: 0.213 data_time: 0.014 memory: 5148 grad_norm: 7.9477 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1948 loss: 1.1948 2022/06/28 11:46:10 - mmengine - INFO - Epoch(train) [63][1460/3757] lr: 1.000e-03 eta: 10:25:03 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 6.7441 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4948 loss: 1.4948 2022/06/28 11:46:16 - mmengine - INFO - Epoch(train) [63][1480/3757] lr: 1.000e-03 eta: 10:24:58 time: 0.198 data_time: 0.018 memory: 5148 grad_norm: 7.9953 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4086 loss: 1.4086 2022/06/28 11:46:20 - mmengine - INFO - Epoch(train) [63][1500/3757] lr: 1.000e-03 eta: 10:24:53 time: 0.282 data_time: 0.012 memory: 5148 grad_norm: 7.8474 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2307 loss: 1.2307 2022/06/28 11:46:26 - mmengine - INFO - Epoch(train) [63][1520/3757] lr: 1.000e-03 eta: 10:24:48 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 7.2894 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1694 loss: 1.1694 2022/06/28 11:46:32 - mmengine - INFO - Epoch(train) [63][1540/3757] lr: 1.000e-03 eta: 10:24:42 time: 0.200 data_time: 0.019 memory: 5148 grad_norm: 8.1068 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6302 loss: 1.6302 2022/06/28 11:46:37 - mmengine - INFO - Epoch(train) [63][1560/3757] lr: 1.000e-03 eta: 10:24:37 time: 0.225 data_time: 0.015 memory: 5148 grad_norm: 7.7182 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4880 loss: 1.4880 2022/06/28 11:46:42 - mmengine - INFO - Epoch(train) [63][1580/3757] lr: 1.000e-03 eta: 10:24:32 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 7.7014 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3121 loss: 1.3121 2022/06/28 11:46:48 - mmengine - INFO - Epoch(train) [63][1600/3757] lr: 1.000e-03 eta: 10:24:26 time: 0.209 data_time: 0.017 memory: 5148 grad_norm: 7.3950 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8450 loss: 0.8450 2022/06/28 11:46:53 - mmengine - INFO - Epoch(train) [63][1620/3757] lr: 1.000e-03 eta: 10:24:21 time: 0.219 data_time: 0.017 memory: 5148 grad_norm: 7.6091 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4310 loss: 1.4310 2022/06/28 11:46:58 - mmengine - INFO - Epoch(train) [63][1640/3757] lr: 1.000e-03 eta: 10:24:16 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 6.0603 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0420 loss: 1.0420 2022/06/28 11:47:04 - mmengine - INFO - Epoch(train) [63][1660/3757] lr: 1.000e-03 eta: 10:24:10 time: 0.202 data_time: 0.021 memory: 5148 grad_norm: 7.8376 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0615 loss: 1.0615 2022/06/28 11:47:09 - mmengine - INFO - Epoch(train) [63][1680/3757] lr: 1.000e-03 eta: 10:24:05 time: 0.222 data_time: 0.007 memory: 5148 grad_norm: 7.3731 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5698 loss: 1.5698 2022/06/28 11:47:14 - mmengine - INFO - Epoch(train) [63][1700/3757] lr: 1.000e-03 eta: 10:24:00 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 7.5764 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1801 loss: 1.1801 2022/06/28 11:47:20 - mmengine - INFO - Epoch(train) [63][1720/3757] lr: 1.000e-03 eta: 10:23:54 time: 0.210 data_time: 0.024 memory: 5148 grad_norm: 7.5832 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0811 loss: 1.0811 2022/06/28 11:47:25 - mmengine - INFO - Epoch(train) [63][1740/3757] lr: 1.000e-03 eta: 10:23:49 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 7.3516 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5592 loss: 1.5592 2022/06/28 11:47:31 - mmengine - INFO - Epoch(train) [63][1760/3757] lr: 1.000e-03 eta: 10:23:44 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 6.7834 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0107 loss: 1.0107 2022/06/28 11:47:36 - mmengine - INFO - Epoch(train) [63][1780/3757] lr: 1.000e-03 eta: 10:23:39 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 8.3579 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6935 loss: 1.6935 2022/06/28 11:47:41 - mmengine - INFO - Epoch(train) [63][1800/3757] lr: 1.000e-03 eta: 10:23:34 time: 0.207 data_time: 0.013 memory: 5148 grad_norm: 7.1644 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1560 loss: 1.1560 2022/06/28 11:47:47 - mmengine - INFO - Epoch(train) [63][1820/3757] lr: 1.000e-03 eta: 10:23:29 time: 0.268 data_time: 0.007 memory: 5148 grad_norm: 7.1639 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5903 loss: 1.5903 2022/06/28 11:47:52 - mmengine - INFO - Epoch(train) [63][1840/3757] lr: 1.000e-03 eta: 10:23:23 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 7.7371 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2810 loss: 1.2810 2022/06/28 11:47:58 - mmengine - INFO - Epoch(train) [63][1860/3757] lr: 1.000e-03 eta: 10:23:18 time: 0.212 data_time: 0.018 memory: 5148 grad_norm: 6.7123 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8149 loss: 1.8149 2022/06/28 11:48:03 - mmengine - INFO - Epoch(train) [63][1880/3757] lr: 1.000e-03 eta: 10:23:13 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 6.8677 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6897 loss: 1.6897 2022/06/28 11:48:09 - mmengine - INFO - Epoch(train) [63][1900/3757] lr: 1.000e-03 eta: 10:23:07 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 7.6281 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3291 loss: 1.3291 2022/06/28 11:48:14 - mmengine - INFO - Epoch(train) [63][1920/3757] lr: 1.000e-03 eta: 10:23:02 time: 0.239 data_time: 0.011 memory: 5148 grad_norm: 7.8575 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3317 loss: 1.3317 2022/06/28 11:48:20 - mmengine - INFO - Epoch(train) [63][1940/3757] lr: 1.000e-03 eta: 10:22:57 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 8.0242 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5242 loss: 1.5242 2022/06/28 11:48:24 - mmengine - INFO - Epoch(train) [63][1960/3757] lr: 1.000e-03 eta: 10:22:51 time: 0.196 data_time: 0.012 memory: 5148 grad_norm: 7.9979 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1343 loss: 1.1343 2022/06/28 11:48:29 - mmengine - INFO - Epoch(train) [63][1980/3757] lr: 1.000e-03 eta: 10:22:46 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 8.0445 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1728 loss: 1.1728 2022/06/28 11:48:35 - mmengine - INFO - Epoch(train) [63][2000/3757] lr: 1.000e-03 eta: 10:22:40 time: 0.198 data_time: 0.015 memory: 5148 grad_norm: 6.8361 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2777 loss: 1.2777 2022/06/28 11:48:40 - mmengine - INFO - Epoch(train) [63][2020/3757] lr: 1.000e-03 eta: 10:22:35 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 8.1020 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2270 loss: 1.2270 2022/06/28 11:48:45 - mmengine - INFO - Epoch(train) [63][2040/3757] lr: 1.000e-03 eta: 10:22:30 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 8.2339 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3499 loss: 1.3499 2022/06/28 11:48:51 - mmengine - INFO - Epoch(train) [63][2060/3757] lr: 1.000e-03 eta: 10:22:25 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 9.3036 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4213 loss: 1.4213 2022/06/28 11:48:52 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 11:48:56 - mmengine - INFO - Epoch(train) [63][2080/3757] lr: 1.000e-03 eta: 10:22:19 time: 0.195 data_time: 0.014 memory: 5148 grad_norm: 8.2093 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6114 loss: 1.6114 2022/06/28 11:49:01 - mmengine - INFO - Epoch(train) [63][2100/3757] lr: 1.000e-03 eta: 10:22:14 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 7.4818 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1314 loss: 1.1314 2022/06/28 11:49:06 - mmengine - INFO - Epoch(train) [63][2120/3757] lr: 1.000e-03 eta: 10:22:08 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 7.4973 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1023 loss: 1.1023 2022/06/28 11:49:11 - mmengine - INFO - Epoch(train) [63][2140/3757] lr: 1.000e-03 eta: 10:22:03 time: 0.202 data_time: 0.009 memory: 5148 grad_norm: 8.6082 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2775 loss: 1.2775 2022/06/28 11:49:17 - mmengine - INFO - Epoch(train) [63][2160/3757] lr: 1.000e-03 eta: 10:21:58 time: 0.199 data_time: 0.020 memory: 5148 grad_norm: 7.9936 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3637 loss: 1.3637 2022/06/28 11:49:22 - mmengine - INFO - Epoch(train) [63][2180/3757] lr: 1.000e-03 eta: 10:21:52 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 8.6937 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6721 loss: 1.6721 2022/06/28 11:49:28 - mmengine - INFO - Epoch(train) [63][2200/3757] lr: 1.000e-03 eta: 10:21:48 time: 1.484 data_time: 0.008 memory: 5148 grad_norm: 7.0705 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7505 loss: 1.7505 2022/06/28 11:49:32 - mmengine - INFO - Epoch(train) [63][2220/3757] lr: 1.000e-03 eta: 10:21:42 time: 0.208 data_time: 0.015 memory: 5148 grad_norm: 6.2130 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9806 loss: 0.9806 2022/06/28 11:49:38 - mmengine - INFO - Epoch(train) [63][2240/3757] lr: 1.000e-03 eta: 10:21:36 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 8.3438 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4517 loss: 1.4517 2022/06/28 11:49:43 - mmengine - INFO - Epoch(train) [63][2260/3757] lr: 1.000e-03 eta: 10:21:31 time: 0.370 data_time: 0.007 memory: 5148 grad_norm: 8.6133 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3084 loss: 1.3084 2022/06/28 11:49:48 - mmengine - INFO - Epoch(train) [63][2280/3757] lr: 1.000e-03 eta: 10:21:26 time: 0.271 data_time: 0.017 memory: 5148 grad_norm: 7.4698 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5248 loss: 1.5248 2022/06/28 11:49:54 - mmengine - INFO - Epoch(train) [63][2300/3757] lr: 1.000e-03 eta: 10:21:21 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 8.1249 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8891 loss: 1.8891 2022/06/28 11:50:00 - mmengine - INFO - Epoch(train) [63][2320/3757] lr: 1.000e-03 eta: 10:21:15 time: 0.473 data_time: 0.007 memory: 5148 grad_norm: 7.5676 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3362 loss: 1.3362 2022/06/28 11:50:05 - mmengine - INFO - Epoch(train) [63][2340/3757] lr: 1.000e-03 eta: 10:21:10 time: 0.215 data_time: 0.018 memory: 5148 grad_norm: 8.2182 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3955 loss: 1.3955 2022/06/28 11:50:10 - mmengine - INFO - Epoch(train) [63][2360/3757] lr: 1.000e-03 eta: 10:21:05 time: 0.201 data_time: 0.015 memory: 5148 grad_norm: 9.6799 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7085 loss: 1.7085 2022/06/28 11:50:15 - mmengine - INFO - Epoch(train) [63][2380/3757] lr: 1.000e-03 eta: 10:20:59 time: 0.219 data_time: 0.007 memory: 5148 grad_norm: 7.0758 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4759 loss: 1.4759 2022/06/28 11:50:21 - mmengine - INFO - Epoch(train) [63][2400/3757] lr: 1.000e-03 eta: 10:20:54 time: 0.208 data_time: 0.015 memory: 5148 grad_norm: 7.7191 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2427 loss: 1.2427 2022/06/28 11:50:27 - mmengine - INFO - Epoch(train) [63][2420/3757] lr: 1.000e-03 eta: 10:20:49 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 8.5851 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5605 loss: 1.5605 2022/06/28 11:50:31 - mmengine - INFO - Epoch(train) [63][2440/3757] lr: 1.000e-03 eta: 10:20:44 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 7.7291 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6112 loss: 1.6112 2022/06/28 11:50:37 - mmengine - INFO - Epoch(train) [63][2460/3757] lr: 1.000e-03 eta: 10:20:38 time: 0.217 data_time: 0.014 memory: 5148 grad_norm: 6.9091 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.2000 loss: 1.2000 2022/06/28 11:50:42 - mmengine - INFO - Epoch(train) [63][2480/3757] lr: 1.000e-03 eta: 10:20:33 time: 0.201 data_time: 0.015 memory: 5148 grad_norm: 7.5077 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2471 loss: 1.2471 2022/06/28 11:50:48 - mmengine - INFO - Epoch(train) [63][2500/3757] lr: 1.000e-03 eta: 10:20:28 time: 0.219 data_time: 0.006 memory: 5148 grad_norm: 7.3404 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2482 loss: 1.2482 2022/06/28 11:50:52 - mmengine - INFO - Epoch(train) [63][2520/3757] lr: 1.000e-03 eta: 10:20:22 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 6.1274 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4409 loss: 1.4409 2022/06/28 11:50:58 - mmengine - INFO - Epoch(train) [63][2540/3757] lr: 1.000e-03 eta: 10:20:17 time: 0.208 data_time: 0.012 memory: 5148 grad_norm: 9.6525 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2849 loss: 1.2849 2022/06/28 11:51:04 - mmengine - INFO - Epoch(train) [63][2560/3757] lr: 1.000e-03 eta: 10:20:12 time: 0.209 data_time: 0.010 memory: 5148 grad_norm: 7.1604 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0337 loss: 1.0337 2022/06/28 11:51:08 - mmengine - INFO - Epoch(train) [63][2580/3757] lr: 1.000e-03 eta: 10:20:06 time: 0.201 data_time: 0.016 memory: 5148 grad_norm: 7.7144 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1870 loss: 1.1870 2022/06/28 11:51:14 - mmengine - INFO - Epoch(train) [63][2600/3757] lr: 1.000e-03 eta: 10:20:01 time: 0.218 data_time: 0.025 memory: 5148 grad_norm: 6.8459 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4607 loss: 1.4607 2022/06/28 11:51:19 - mmengine - INFO - Epoch(train) [63][2620/3757] lr: 1.000e-03 eta: 10:19:56 time: 0.205 data_time: 0.017 memory: 5148 grad_norm: 8.9162 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3839 loss: 1.3839 2022/06/28 11:51:24 - mmengine - INFO - Epoch(train) [63][2640/3757] lr: 1.000e-03 eta: 10:19:50 time: 0.205 data_time: 0.013 memory: 5148 grad_norm: 6.9989 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6254 loss: 1.6254 2022/06/28 11:51:30 - mmengine - INFO - Epoch(train) [63][2660/3757] lr: 1.000e-03 eta: 10:19:45 time: 0.205 data_time: 0.020 memory: 5148 grad_norm: 8.0076 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4375 loss: 1.4375 2022/06/28 11:51:35 - mmengine - INFO - Epoch(train) [63][2680/3757] lr: 1.000e-03 eta: 10:19:40 time: 0.197 data_time: 0.020 memory: 5148 grad_norm: 8.1226 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2046 loss: 1.2046 2022/06/28 11:51:40 - mmengine - INFO - Epoch(train) [63][2700/3757] lr: 1.000e-03 eta: 10:19:34 time: 0.223 data_time: 0.018 memory: 5148 grad_norm: 8.5295 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6242 loss: 1.6242 2022/06/28 11:51:46 - mmengine - INFO - Epoch(train) [63][2720/3757] lr: 1.000e-03 eta: 10:19:29 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 8.2853 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6036 loss: 1.6036 2022/06/28 11:51:51 - mmengine - INFO - Epoch(train) [63][2740/3757] lr: 1.000e-03 eta: 10:19:24 time: 0.205 data_time: 0.015 memory: 5148 grad_norm: 7.7206 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2782 loss: 1.2782 2022/06/28 11:51:56 - mmengine - INFO - Epoch(train) [63][2760/3757] lr: 1.000e-03 eta: 10:19:18 time: 0.208 data_time: 0.016 memory: 5148 grad_norm: 6.8879 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4027 loss: 1.4027 2022/06/28 11:52:02 - mmengine - INFO - Epoch(train) [63][2780/3757] lr: 1.000e-03 eta: 10:19:13 time: 0.208 data_time: 0.012 memory: 5148 grad_norm: 8.0240 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2929 loss: 1.2929 2022/06/28 11:52:08 - mmengine - INFO - Epoch(train) [63][2800/3757] lr: 1.000e-03 eta: 10:19:08 time: 0.291 data_time: 0.008 memory: 5148 grad_norm: 7.8503 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1124 loss: 1.1124 2022/06/28 11:52:12 - mmengine - INFO - Epoch(train) [63][2820/3757] lr: 1.000e-03 eta: 10:19:03 time: 0.207 data_time: 0.024 memory: 5148 grad_norm: 7.0164 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1370 loss: 1.1370 2022/06/28 11:52:18 - mmengine - INFO - Epoch(train) [63][2840/3757] lr: 1.000e-03 eta: 10:18:57 time: 0.246 data_time: 0.014 memory: 5148 grad_norm: 8.5810 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7573 loss: 1.7573 2022/06/28 11:52:24 - mmengine - INFO - Epoch(train) [63][2860/3757] lr: 1.000e-03 eta: 10:18:52 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 7.3356 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5695 loss: 1.5695 2022/06/28 11:52:29 - mmengine - INFO - Epoch(train) [63][2880/3757] lr: 1.000e-03 eta: 10:18:47 time: 0.210 data_time: 0.027 memory: 5148 grad_norm: 7.9079 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4993 loss: 1.4993 2022/06/28 11:52:34 - mmengine - INFO - Epoch(train) [63][2900/3757] lr: 1.000e-03 eta: 10:18:42 time: 0.219 data_time: 0.007 memory: 5148 grad_norm: 8.4185 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5107 loss: 1.5107 2022/06/28 11:52:40 - mmengine - INFO - Epoch(train) [63][2920/3757] lr: 1.000e-03 eta: 10:18:36 time: 0.200 data_time: 0.016 memory: 5148 grad_norm: 7.5439 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3482 loss: 1.3482 2022/06/28 11:52:45 - mmengine - INFO - Epoch(train) [63][2940/3757] lr: 1.000e-03 eta: 10:18:31 time: 0.232 data_time: 0.017 memory: 5148 grad_norm: 8.0586 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3847 loss: 1.3847 2022/06/28 11:52:50 - mmengine - INFO - Epoch(train) [63][2960/3757] lr: 1.000e-03 eta: 10:18:26 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 7.5433 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4853 loss: 1.4853 2022/06/28 11:52:56 - mmengine - INFO - Epoch(train) [63][2980/3757] lr: 1.000e-03 eta: 10:18:21 time: 0.205 data_time: 0.026 memory: 5148 grad_norm: 8.9605 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1638 loss: 1.1638 2022/06/28 11:53:00 - mmengine - INFO - Epoch(train) [63][3000/3757] lr: 1.000e-03 eta: 10:18:15 time: 0.206 data_time: 0.013 memory: 5148 grad_norm: 7.5917 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3567 loss: 1.3567 2022/06/28 11:53:06 - mmengine - INFO - Epoch(train) [63][3020/3757] lr: 1.000e-03 eta: 10:18:10 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 7.6554 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4808 loss: 1.4808 2022/06/28 11:53:12 - mmengine - INFO - Epoch(train) [63][3040/3757] lr: 1.000e-03 eta: 10:18:05 time: 0.584 data_time: 0.011 memory: 5148 grad_norm: 8.1249 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2609 loss: 1.2609 2022/06/28 11:53:17 - mmengine - INFO - Epoch(train) [63][3060/3757] lr: 1.000e-03 eta: 10:17:59 time: 0.205 data_time: 0.006 memory: 5148 grad_norm: 7.0200 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2897 loss: 1.2897 2022/06/28 11:53:18 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 11:53:22 - mmengine - INFO - Epoch(train) [63][3080/3757] lr: 1.000e-03 eta: 10:17:54 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 7.5206 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2393 loss: 1.2393 2022/06/28 11:53:28 - mmengine - INFO - Epoch(train) [63][3100/3757] lr: 1.000e-03 eta: 10:17:49 time: 0.256 data_time: 0.035 memory: 5148 grad_norm: 7.2173 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5545 loss: 1.5545 2022/06/28 11:53:33 - mmengine - INFO - Epoch(train) [63][3120/3757] lr: 1.000e-03 eta: 10:17:43 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 9.6231 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2636 loss: 1.2636 2022/06/28 11:53:38 - mmengine - INFO - Epoch(train) [63][3140/3757] lr: 1.000e-03 eta: 10:17:38 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 7.1719 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2541 loss: 1.2541 2022/06/28 11:53:44 - mmengine - INFO - Epoch(train) [63][3160/3757] lr: 1.000e-03 eta: 10:17:33 time: 0.247 data_time: 0.010 memory: 5148 grad_norm: 6.8193 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0874 loss: 1.0874 2022/06/28 11:53:49 - mmengine - INFO - Epoch(train) [63][3180/3757] lr: 1.000e-03 eta: 10:17:28 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 6.5206 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9525 loss: 0.9525 2022/06/28 11:53:54 - mmengine - INFO - Epoch(train) [63][3200/3757] lr: 1.000e-03 eta: 10:17:22 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 7.2596 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3533 loss: 1.3533 2022/06/28 11:54:00 - mmengine - INFO - Epoch(train) [63][3220/3757] lr: 1.000e-03 eta: 10:17:17 time: 0.212 data_time: 0.011 memory: 5148 grad_norm: 6.9925 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5277 loss: 1.5277 2022/06/28 11:54:05 - mmengine - INFO - Epoch(train) [63][3240/3757] lr: 1.000e-03 eta: 10:17:11 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.3408 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3688 loss: 1.3688 2022/06/28 11:54:10 - mmengine - INFO - Epoch(train) [63][3260/3757] lr: 1.000e-03 eta: 10:17:06 time: 0.207 data_time: 0.013 memory: 5148 grad_norm: 7.6508 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5022 loss: 1.5022 2022/06/28 11:54:16 - mmengine - INFO - Epoch(train) [63][3280/3757] lr: 1.000e-03 eta: 10:17:01 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 7.7723 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2658 loss: 1.2658 2022/06/28 11:54:21 - mmengine - INFO - Epoch(train) [63][3300/3757] lr: 1.000e-03 eta: 10:16:56 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 7.1074 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5888 loss: 1.5888 2022/06/28 11:54:26 - mmengine - INFO - Epoch(train) [63][3320/3757] lr: 1.000e-03 eta: 10:16:50 time: 0.232 data_time: 0.012 memory: 5148 grad_norm: 6.5068 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1949 loss: 1.1949 2022/06/28 11:54:32 - mmengine - INFO - Epoch(train) [63][3340/3757] lr: 1.000e-03 eta: 10:16:45 time: 0.213 data_time: 0.013 memory: 5148 grad_norm: 9.2431 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2005 loss: 1.2005 2022/06/28 11:54:36 - mmengine - INFO - Epoch(train) [63][3360/3757] lr: 1.000e-03 eta: 10:16:39 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 6.7221 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2562 loss: 1.2562 2022/06/28 11:54:42 - mmengine - INFO - Epoch(train) [63][3380/3757] lr: 1.000e-03 eta: 10:16:34 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 6.5709 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4815 loss: 1.4815 2022/06/28 11:54:47 - mmengine - INFO - Epoch(train) [63][3400/3757] lr: 1.000e-03 eta: 10:16:29 time: 0.612 data_time: 0.020 memory: 5148 grad_norm: 7.4191 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1451 loss: 1.1451 2022/06/28 11:54:52 - mmengine - INFO - Epoch(train) [63][3420/3757] lr: 1.000e-03 eta: 10:16:23 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 7.6661 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8208 loss: 1.8208 2022/06/28 11:54:57 - mmengine - INFO - Epoch(train) [63][3440/3757] lr: 1.000e-03 eta: 10:16:18 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 7.2542 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4476 loss: 1.4476 2022/06/28 11:55:03 - mmengine - INFO - Epoch(train) [63][3460/3757] lr: 1.000e-03 eta: 10:16:13 time: 0.205 data_time: 0.022 memory: 5148 grad_norm: 7.9475 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1751 loss: 1.1751 2022/06/28 11:55:09 - mmengine - INFO - Epoch(train) [63][3480/3757] lr: 1.000e-03 eta: 10:16:08 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 7.8646 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1816 loss: 1.1816 2022/06/28 11:55:14 - mmengine - INFO - Epoch(train) [63][3500/3757] lr: 1.000e-03 eta: 10:16:02 time: 0.209 data_time: 0.010 memory: 5148 grad_norm: 7.2615 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3492 loss: 1.3492 2022/06/28 11:55:19 - mmengine - INFO - Epoch(train) [63][3520/3757] lr: 1.000e-03 eta: 10:15:57 time: 0.200 data_time: 0.013 memory: 5148 grad_norm: 8.0862 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4042 loss: 1.4042 2022/06/28 11:55:24 - mmengine - INFO - Epoch(train) [63][3540/3757] lr: 1.000e-03 eta: 10:15:52 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 6.8592 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4257 loss: 1.4257 2022/06/28 11:55:30 - mmengine - INFO - Epoch(train) [63][3560/3757] lr: 1.000e-03 eta: 10:15:47 time: 0.193 data_time: 0.011 memory: 5148 grad_norm: 8.1532 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0893 loss: 1.0893 2022/06/28 11:55:35 - mmengine - INFO - Epoch(train) [63][3580/3757] lr: 1.000e-03 eta: 10:15:41 time: 0.196 data_time: 0.006 memory: 5148 grad_norm: 7.9366 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4258 loss: 1.4258 2022/06/28 11:55:41 - mmengine - INFO - Epoch(train) [63][3600/3757] lr: 1.000e-03 eta: 10:15:36 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 8.1464 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4369 loss: 1.4369 2022/06/28 11:55:46 - mmengine - INFO - Epoch(train) [63][3620/3757] lr: 1.000e-03 eta: 10:15:31 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 8.0064 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.2230 loss: 1.2230 2022/06/28 11:55:52 - mmengine - INFO - Epoch(train) [63][3640/3757] lr: 1.000e-03 eta: 10:15:26 time: 0.216 data_time: 0.011 memory: 5148 grad_norm: 6.6119 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3748 loss: 1.3748 2022/06/28 11:55:57 - mmengine - INFO - Epoch(train) [63][3660/3757] lr: 1.000e-03 eta: 10:15:20 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 8.2362 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6224 loss: 1.6224 2022/06/28 11:56:02 - mmengine - INFO - Epoch(train) [63][3680/3757] lr: 1.000e-03 eta: 10:15:15 time: 0.207 data_time: 0.016 memory: 5148 grad_norm: 8.5570 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4032 loss: 1.4032 2022/06/28 11:56:08 - mmengine - INFO - Epoch(train) [63][3700/3757] lr: 1.000e-03 eta: 10:15:10 time: 0.220 data_time: 0.022 memory: 5148 grad_norm: 6.8043 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9111 loss: 1.9111 2022/06/28 11:56:13 - mmengine - INFO - Epoch(train) [63][3720/3757] lr: 1.000e-03 eta: 10:15:04 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 8.2807 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2888 loss: 1.2888 2022/06/28 11:56:18 - mmengine - INFO - Epoch(train) [63][3740/3757] lr: 1.000e-03 eta: 10:14:59 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 8.2215 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1149 loss: 1.1149 2022/06/28 11:56:22 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 11:56:28 - mmengine - INFO - Epoch(val) [63][20/310] eta: 0:01:09 time: 0.167 data_time: 0.088 memory: 5148 2022/06/28 11:56:33 - mmengine - INFO - Epoch(val) [63][40/310] eta: 0:01:01 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 11:56:39 - mmengine - INFO - Epoch(val) [63][60/310] eta: 0:00:57 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 11:56:44 - mmengine - INFO - Epoch(val) [63][80/310] eta: 0:00:57 time: 0.080 data_time: 0.008 memory: 1367 2022/06/28 11:56:50 - mmengine - INFO - Epoch(val) [63][100/310] eta: 0:00:48 time: 0.086 data_time: 0.009 memory: 1367 2022/06/28 11:56:54 - mmengine - INFO - Epoch(val) [63][120/310] eta: 0:00:43 time: 0.085 data_time: 0.009 memory: 1367 2022/06/28 11:57:01 - mmengine - INFO - Epoch(val) [63][140/310] eta: 0:01:00 time: 1.215 data_time: 1.144 memory: 1367 2022/06/28 11:57:05 - mmengine - INFO - Epoch(val) [63][160/310] eta: 0:00:32 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 11:57:11 - mmengine - INFO - Epoch(val) [63][180/310] eta: 0:00:50 time: 1.175 data_time: 1.099 memory: 1367 2022/06/28 11:57:15 - mmengine - INFO - Epoch(val) [63][200/310] eta: 0:00:23 time: 0.077 data_time: 0.006 memory: 1367 2022/06/28 11:57:21 - mmengine - INFO - Epoch(val) [63][220/310] eta: 0:00:31 time: 0.134 data_time: 0.059 memory: 1367 2022/06/28 11:57:26 - mmengine - INFO - Epoch(val) [63][240/310] eta: 0:00:16 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 11:57:32 - mmengine - INFO - Epoch(val) [63][260/310] eta: 0:00:17 time: 0.305 data_time: 0.234 memory: 1367 2022/06/28 11:57:37 - mmengine - INFO - Epoch(val) [63][280/310] eta: 0:00:06 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 11:57:42 - mmengine - INFO - Epoch(val) [63][300/310] eta: 0:00:03 time: 0.349 data_time: 0.278 memory: 1367 2022/06/28 11:57:45 - mmengine - INFO - Epoch(val) [63][310/310] acc/top1: 0.6491 acc/top5: 0.8569 acc/mean1: 0.6490 2022/06/28 11:57:53 - mmengine - INFO - Epoch(train) [64][20/3757] lr: 1.000e-03 eta: 10:14:49 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 6.2730 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5358 loss: 1.5358 2022/06/28 11:57:59 - mmengine - INFO - Epoch(train) [64][40/3757] lr: 1.000e-03 eta: 10:14:44 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 7.8791 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0801 loss: 1.0801 2022/06/28 11:58:04 - mmengine - INFO - Epoch(train) [64][60/3757] lr: 1.000e-03 eta: 10:14:39 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 7.8025 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2190 loss: 1.2190 2022/06/28 11:58:10 - mmengine - INFO - Epoch(train) [64][80/3757] lr: 1.000e-03 eta: 10:14:34 time: 0.192 data_time: 0.011 memory: 5148 grad_norm: 8.7562 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4616 loss: 1.4616 2022/06/28 11:58:16 - mmengine - INFO - Epoch(train) [64][100/3757] lr: 1.000e-03 eta: 10:14:29 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.8487 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7366 loss: 1.7366 2022/06/28 11:58:21 - mmengine - INFO - Epoch(train) [64][120/3757] lr: 1.000e-03 eta: 10:14:23 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 7.0584 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0241 loss: 1.0241 2022/06/28 11:58:26 - mmengine - INFO - Epoch(train) [64][140/3757] lr: 1.000e-03 eta: 10:14:18 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.8231 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6537 loss: 1.6537 2022/06/28 11:58:32 - mmengine - INFO - Epoch(train) [64][160/3757] lr: 1.000e-03 eta: 10:14:13 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 7.1180 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2553 loss: 1.2553 2022/06/28 11:58:36 - mmengine - INFO - Epoch(train) [64][180/3757] lr: 1.000e-03 eta: 10:14:07 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 8.4644 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3061 loss: 1.3061 2022/06/28 11:58:42 - mmengine - INFO - Epoch(train) [64][200/3757] lr: 1.000e-03 eta: 10:14:02 time: 0.199 data_time: 0.009 memory: 5148 grad_norm: 7.1451 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4090 loss: 1.4090 2022/06/28 11:58:48 - mmengine - INFO - Epoch(train) [64][220/3757] lr: 1.000e-03 eta: 10:13:57 time: 0.202 data_time: 0.009 memory: 5148 grad_norm: 7.1594 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2228 loss: 1.2228 2022/06/28 11:58:53 - mmengine - INFO - Epoch(train) [64][240/3757] lr: 1.000e-03 eta: 10:13:51 time: 0.208 data_time: 0.014 memory: 5148 grad_norm: 9.5035 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3795 loss: 1.3795 2022/06/28 11:58:58 - mmengine - INFO - Epoch(train) [64][260/3757] lr: 1.000e-03 eta: 10:13:46 time: 0.202 data_time: 0.009 memory: 5148 grad_norm: 7.0386 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7139 loss: 1.7139 2022/06/28 11:59:03 - mmengine - INFO - Epoch(train) [64][280/3757] lr: 1.000e-03 eta: 10:13:41 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 5.7878 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2957 loss: 1.2957 2022/06/28 11:59:08 - mmengine - INFO - Epoch(train) [64][300/3757] lr: 1.000e-03 eta: 10:13:35 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 7.6760 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2564 loss: 1.2564 2022/06/28 11:59:10 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 11:59:13 - mmengine - INFO - Epoch(train) [64][320/3757] lr: 1.000e-03 eta: 10:13:30 time: 0.208 data_time: 0.024 memory: 5148 grad_norm: 7.3718 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3751 loss: 1.3751 2022/06/28 11:59:19 - mmengine - INFO - Epoch(train) [64][340/3757] lr: 1.000e-03 eta: 10:13:25 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 6.3927 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2348 loss: 1.2348 2022/06/28 11:59:24 - mmengine - INFO - Epoch(train) [64][360/3757] lr: 1.000e-03 eta: 10:13:19 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 8.2540 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3743 loss: 1.3743 2022/06/28 11:59:29 - mmengine - INFO - Epoch(train) [64][380/3757] lr: 1.000e-03 eta: 10:13:14 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 7.7289 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4846 loss: 1.4846 2022/06/28 11:59:35 - mmengine - INFO - Epoch(train) [64][400/3757] lr: 1.000e-03 eta: 10:13:09 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 7.8904 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2570 loss: 1.2570 2022/06/28 11:59:41 - mmengine - INFO - Epoch(train) [64][420/3757] lr: 1.000e-03 eta: 10:13:04 time: 0.191 data_time: 0.010 memory: 5148 grad_norm: 8.3480 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3249 loss: 1.3249 2022/06/28 11:59:45 - mmengine - INFO - Epoch(train) [64][440/3757] lr: 1.000e-03 eta: 10:12:58 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 6.2754 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1601 loss: 1.1601 2022/06/28 11:59:51 - mmengine - INFO - Epoch(train) [64][460/3757] lr: 1.000e-03 eta: 10:12:53 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 7.1546 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4057 loss: 1.4057 2022/06/28 11:59:56 - mmengine - INFO - Epoch(train) [64][480/3757] lr: 1.000e-03 eta: 10:12:48 time: 0.198 data_time: 0.015 memory: 5148 grad_norm: 8.1355 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3589 loss: 1.3589 2022/06/28 12:00:03 - mmengine - INFO - Epoch(train) [64][500/3757] lr: 1.000e-03 eta: 10:12:43 time: 1.963 data_time: 0.022 memory: 5148 grad_norm: 7.3860 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0622 loss: 1.0622 2022/06/28 12:00:07 - mmengine - INFO - Epoch(train) [64][520/3757] lr: 1.000e-03 eta: 10:12:37 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 7.0547 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5079 loss: 1.5079 2022/06/28 12:00:12 - mmengine - INFO - Epoch(train) [64][540/3757] lr: 1.000e-03 eta: 10:12:32 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 7.9404 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5463 loss: 1.5463 2022/06/28 12:00:18 - mmengine - INFO - Epoch(train) [64][560/3757] lr: 1.000e-03 eta: 10:12:27 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 7.1349 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.3609 loss: 1.3609 2022/06/28 12:00:24 - mmengine - INFO - Epoch(train) [64][580/3757] lr: 1.000e-03 eta: 10:12:21 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 7.4959 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5439 loss: 1.5439 2022/06/28 12:00:29 - mmengine - INFO - Epoch(train) [64][600/3757] lr: 1.000e-03 eta: 10:12:16 time: 0.207 data_time: 0.015 memory: 5148 grad_norm: 7.7299 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3170 loss: 1.3170 2022/06/28 12:00:34 - mmengine - INFO - Epoch(train) [64][620/3757] lr: 1.000e-03 eta: 10:12:11 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 7.3726 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4197 loss: 1.4197 2022/06/28 12:00:40 - mmengine - INFO - Epoch(train) [64][640/3757] lr: 1.000e-03 eta: 10:12:06 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.9942 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2358 loss: 1.2358 2022/06/28 12:00:45 - mmengine - INFO - Epoch(train) [64][660/3757] lr: 1.000e-03 eta: 10:12:00 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 8.9960 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3410 loss: 1.3410 2022/06/28 12:00:50 - mmengine - INFO - Epoch(train) [64][680/3757] lr: 1.000e-03 eta: 10:11:55 time: 0.204 data_time: 0.019 memory: 5148 grad_norm: 6.9647 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9428 loss: 0.9428 2022/06/28 12:00:56 - mmengine - INFO - Epoch(train) [64][700/3757] lr: 1.000e-03 eta: 10:11:50 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 7.9259 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9697 loss: 0.9697 2022/06/28 12:01:01 - mmengine - INFO - Epoch(train) [64][720/3757] lr: 1.000e-03 eta: 10:11:45 time: 0.200 data_time: 0.016 memory: 5148 grad_norm: 8.2585 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2381 loss: 1.2381 2022/06/28 12:01:06 - mmengine - INFO - Epoch(train) [64][740/3757] lr: 1.000e-03 eta: 10:11:39 time: 0.202 data_time: 0.021 memory: 5148 grad_norm: 8.1085 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2973 loss: 1.2973 2022/06/28 12:01:12 - mmengine - INFO - Epoch(train) [64][760/3757] lr: 1.000e-03 eta: 10:11:34 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 6.9573 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2442 loss: 1.2442 2022/06/28 12:01:17 - mmengine - INFO - Epoch(train) [64][780/3757] lr: 1.000e-03 eta: 10:11:29 time: 0.205 data_time: 0.009 memory: 5148 grad_norm: 6.7398 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0930 loss: 1.0930 2022/06/28 12:01:22 - mmengine - INFO - Epoch(train) [64][800/3757] lr: 1.000e-03 eta: 10:11:23 time: 0.200 data_time: 0.019 memory: 5148 grad_norm: 7.9499 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3030 loss: 1.3030 2022/06/28 12:01:27 - mmengine - INFO - Epoch(train) [64][820/3757] lr: 1.000e-03 eta: 10:11:18 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 6.7177 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1771 loss: 1.1771 2022/06/28 12:01:33 - mmengine - INFO - Epoch(train) [64][840/3757] lr: 1.000e-03 eta: 10:11:13 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 8.1021 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4392 loss: 1.4392 2022/06/28 12:01:38 - mmengine - INFO - Epoch(train) [64][860/3757] lr: 1.000e-03 eta: 10:11:07 time: 0.195 data_time: 0.018 memory: 5148 grad_norm: 7.0866 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1213 loss: 1.1213 2022/06/28 12:01:44 - mmengine - INFO - Epoch(train) [64][880/3757] lr: 1.000e-03 eta: 10:11:02 time: 0.211 data_time: 0.012 memory: 5148 grad_norm: 8.3632 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4771 loss: 1.4771 2022/06/28 12:01:49 - mmengine - INFO - Epoch(train) [64][900/3757] lr: 1.000e-03 eta: 10:10:57 time: 0.201 data_time: 0.025 memory: 5148 grad_norm: 7.9881 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3717 loss: 1.3717 2022/06/28 12:01:54 - mmengine - INFO - Epoch(train) [64][920/3757] lr: 1.000e-03 eta: 10:10:51 time: 0.466 data_time: 0.007 memory: 5148 grad_norm: 9.5414 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3970 loss: 1.3970 2022/06/28 12:02:00 - mmengine - INFO - Epoch(train) [64][940/3757] lr: 1.000e-03 eta: 10:10:46 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 8.3524 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5100 loss: 1.5100 2022/06/28 12:02:05 - mmengine - INFO - Epoch(train) [64][960/3757] lr: 1.000e-03 eta: 10:10:41 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 7.4944 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5200 loss: 1.5200 2022/06/28 12:02:11 - mmengine - INFO - Epoch(train) [64][980/3757] lr: 1.000e-03 eta: 10:10:36 time: 0.715 data_time: 0.010 memory: 5148 grad_norm: 7.6796 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2229 loss: 1.2229 2022/06/28 12:02:16 - mmengine - INFO - Epoch(train) [64][1000/3757] lr: 1.000e-03 eta: 10:10:30 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 7.4603 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7868 loss: 1.7868 2022/06/28 12:02:21 - mmengine - INFO - Epoch(train) [64][1020/3757] lr: 1.000e-03 eta: 10:10:25 time: 0.192 data_time: 0.010 memory: 5148 grad_norm: 7.6923 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1774 loss: 1.1774 2022/06/28 12:02:27 - mmengine - INFO - Epoch(train) [64][1040/3757] lr: 1.000e-03 eta: 10:10:20 time: 0.483 data_time: 0.007 memory: 5148 grad_norm: 7.1350 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4363 loss: 1.4363 2022/06/28 12:02:32 - mmengine - INFO - Epoch(train) [64][1060/3757] lr: 1.000e-03 eta: 10:10:14 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 8.4325 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2861 loss: 1.2861 2022/06/28 12:02:38 - mmengine - INFO - Epoch(train) [64][1080/3757] lr: 1.000e-03 eta: 10:10:09 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 7.0703 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4602 loss: 1.4602 2022/06/28 12:02:43 - mmengine - INFO - Epoch(train) [64][1100/3757] lr: 1.000e-03 eta: 10:10:04 time: 0.932 data_time: 0.007 memory: 5148 grad_norm: 8.5143 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2955 loss: 1.2955 2022/06/28 12:02:48 - mmengine - INFO - Epoch(train) [64][1120/3757] lr: 1.000e-03 eta: 10:09:58 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 8.1711 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2969 loss: 1.2969 2022/06/28 12:02:53 - mmengine - INFO - Epoch(train) [64][1140/3757] lr: 1.000e-03 eta: 10:09:53 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 6.9952 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2612 loss: 1.2612 2022/06/28 12:02:58 - mmengine - INFO - Epoch(train) [64][1160/3757] lr: 1.000e-03 eta: 10:09:47 time: 0.356 data_time: 0.015 memory: 5148 grad_norm: 7.5446 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1580 loss: 1.1580 2022/06/28 12:03:04 - mmengine - INFO - Epoch(train) [64][1180/3757] lr: 1.000e-03 eta: 10:09:42 time: 0.210 data_time: 0.018 memory: 5148 grad_norm: 8.4600 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5033 loss: 1.5033 2022/06/28 12:03:09 - mmengine - INFO - Epoch(train) [64][1200/3757] lr: 1.000e-03 eta: 10:09:37 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.8687 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1487 loss: 1.1487 2022/06/28 12:03:14 - mmengine - INFO - Epoch(train) [64][1220/3757] lr: 1.000e-03 eta: 10:09:32 time: 0.213 data_time: 0.013 memory: 5148 grad_norm: 8.4502 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4307 loss: 1.4307 2022/06/28 12:03:19 - mmengine - INFO - Epoch(train) [64][1240/3757] lr: 1.000e-03 eta: 10:09:26 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 6.0162 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2387 loss: 1.2387 2022/06/28 12:03:25 - mmengine - INFO - Epoch(train) [64][1260/3757] lr: 1.000e-03 eta: 10:09:21 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 8.3793 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5470 loss: 1.5470 2022/06/28 12:03:30 - mmengine - INFO - Epoch(train) [64][1280/3757] lr: 1.000e-03 eta: 10:09:16 time: 0.235 data_time: 0.014 memory: 5148 grad_norm: 8.4531 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2155 loss: 1.2155 2022/06/28 12:03:35 - mmengine - INFO - Epoch(train) [64][1300/3757] lr: 1.000e-03 eta: 10:09:10 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 7.5170 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5656 loss: 1.5656 2022/06/28 12:03:38 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 12:03:41 - mmengine - INFO - Epoch(train) [64][1320/3757] lr: 1.000e-03 eta: 10:09:05 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 7.2998 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1552 loss: 1.1552 2022/06/28 12:03:45 - mmengine - INFO - Epoch(train) [64][1340/3757] lr: 1.000e-03 eta: 10:08:59 time: 0.203 data_time: 0.012 memory: 5148 grad_norm: 7.2493 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3343 loss: 1.3343 2022/06/28 12:03:51 - mmengine - INFO - Epoch(train) [64][1360/3757] lr: 1.000e-03 eta: 10:08:54 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 6.8219 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2884 loss: 1.2884 2022/06/28 12:03:57 - mmengine - INFO - Epoch(train) [64][1380/3757] lr: 1.000e-03 eta: 10:08:49 time: 0.195 data_time: 0.012 memory: 5148 grad_norm: 8.0699 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6010 loss: 1.6010 2022/06/28 12:04:01 - mmengine - INFO - Epoch(train) [64][1400/3757] lr: 1.000e-03 eta: 10:08:44 time: 0.223 data_time: 0.007 memory: 5148 grad_norm: 10.0839 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3218 loss: 1.3218 2022/06/28 12:04:07 - mmengine - INFO - Epoch(train) [64][1420/3757] lr: 1.000e-03 eta: 10:08:38 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 6.9675 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2141 loss: 1.2141 2022/06/28 12:04:12 - mmengine - INFO - Epoch(train) [64][1440/3757] lr: 1.000e-03 eta: 10:08:33 time: 0.198 data_time: 0.016 memory: 5148 grad_norm: 7.9417 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4771 loss: 1.4771 2022/06/28 12:04:17 - mmengine - INFO - Epoch(train) [64][1460/3757] lr: 1.000e-03 eta: 10:08:27 time: 0.224 data_time: 0.007 memory: 5148 grad_norm: 7.3945 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2644 loss: 1.2644 2022/06/28 12:04:22 - mmengine - INFO - Epoch(train) [64][1480/3757] lr: 1.000e-03 eta: 10:08:22 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 7.5947 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1162 loss: 1.1162 2022/06/28 12:04:29 - mmengine - INFO - Epoch(train) [64][1500/3757] lr: 1.000e-03 eta: 10:08:17 time: 0.198 data_time: 0.017 memory: 5148 grad_norm: 7.6423 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2950 loss: 1.2950 2022/06/28 12:04:33 - mmengine - INFO - Epoch(train) [64][1520/3757] lr: 1.000e-03 eta: 10:08:12 time: 0.212 data_time: 0.010 memory: 5148 grad_norm: 8.4589 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2520 loss: 1.2520 2022/06/28 12:04:39 - mmengine - INFO - Epoch(train) [64][1540/3757] lr: 1.000e-03 eta: 10:08:06 time: 0.235 data_time: 0.013 memory: 5148 grad_norm: 7.3594 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5121 loss: 1.5121 2022/06/28 12:04:44 - mmengine - INFO - Epoch(train) [64][1560/3757] lr: 1.000e-03 eta: 10:08:01 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 6.9049 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4562 loss: 1.4562 2022/06/28 12:04:49 - mmengine - INFO - Epoch(train) [64][1580/3757] lr: 1.000e-03 eta: 10:07:56 time: 0.200 data_time: 0.013 memory: 5148 grad_norm: 7.1999 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3027 loss: 1.3027 2022/06/28 12:04:55 - mmengine - INFO - Epoch(train) [64][1600/3757] lr: 1.000e-03 eta: 10:07:51 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 7.9266 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2958 loss: 1.2958 2022/06/28 12:05:00 - mmengine - INFO - Epoch(train) [64][1620/3757] lr: 1.000e-03 eta: 10:07:45 time: 0.197 data_time: 0.012 memory: 5148 grad_norm: 7.7512 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1815 loss: 1.1815 2022/06/28 12:05:06 - mmengine - INFO - Epoch(train) [64][1640/3757] lr: 1.000e-03 eta: 10:07:40 time: 0.212 data_time: 0.011 memory: 5148 grad_norm: 7.9235 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4389 loss: 1.4389 2022/06/28 12:05:11 - mmengine - INFO - Epoch(train) [64][1660/3757] lr: 1.000e-03 eta: 10:07:35 time: 0.205 data_time: 0.006 memory: 5148 grad_norm: 7.7825 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2577 loss: 1.2577 2022/06/28 12:05:16 - mmengine - INFO - Epoch(train) [64][1680/3757] lr: 1.000e-03 eta: 10:07:29 time: 0.197 data_time: 0.013 memory: 5148 grad_norm: 6.6947 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4808 loss: 1.4808 2022/06/28 12:05:21 - mmengine - INFO - Epoch(train) [64][1700/3757] lr: 1.000e-03 eta: 10:07:24 time: 0.215 data_time: 0.018 memory: 5148 grad_norm: 7.5470 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3455 loss: 1.3455 2022/06/28 12:05:27 - mmengine - INFO - Epoch(train) [64][1720/3757] lr: 1.000e-03 eta: 10:07:19 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 8.4723 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1067 loss: 1.1067 2022/06/28 12:05:32 - mmengine - INFO - Epoch(train) [64][1740/3757] lr: 1.000e-03 eta: 10:07:14 time: 0.205 data_time: 0.016 memory: 5148 grad_norm: 6.3549 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3593 loss: 1.3593 2022/06/28 12:05:37 - mmengine - INFO - Epoch(train) [64][1760/3757] lr: 1.000e-03 eta: 10:07:08 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 8.1801 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4325 loss: 1.4325 2022/06/28 12:05:43 - mmengine - INFO - Epoch(train) [64][1780/3757] lr: 1.000e-03 eta: 10:07:03 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 8.7138 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4752 loss: 1.4752 2022/06/28 12:05:48 - mmengine - INFO - Epoch(train) [64][1800/3757] lr: 1.000e-03 eta: 10:06:57 time: 0.203 data_time: 0.016 memory: 5148 grad_norm: 7.2001 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4254 loss: 1.4254 2022/06/28 12:05:53 - mmengine - INFO - Epoch(train) [64][1820/3757] lr: 1.000e-03 eta: 10:06:52 time: 0.214 data_time: 0.008 memory: 5148 grad_norm: 7.5784 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4752 loss: 1.4752 2022/06/28 12:05:59 - mmengine - INFO - Epoch(train) [64][1840/3757] lr: 1.000e-03 eta: 10:06:47 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 8.4073 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2132 loss: 1.2132 2022/06/28 12:06:05 - mmengine - INFO - Epoch(train) [64][1860/3757] lr: 1.000e-03 eta: 10:06:42 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 6.9990 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3999 loss: 1.3999 2022/06/28 12:06:10 - mmengine - INFO - Epoch(train) [64][1880/3757] lr: 1.000e-03 eta: 10:06:36 time: 0.224 data_time: 0.013 memory: 5148 grad_norm: 9.4871 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2947 loss: 1.2947 2022/06/28 12:06:15 - mmengine - INFO - Epoch(train) [64][1900/3757] lr: 1.000e-03 eta: 10:06:31 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 6.9962 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4267 loss: 1.4267 2022/06/28 12:06:20 - mmengine - INFO - Epoch(train) [64][1920/3757] lr: 1.000e-03 eta: 10:06:26 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 7.6493 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1683 loss: 1.1683 2022/06/28 12:06:26 - mmengine - INFO - Epoch(train) [64][1940/3757] lr: 1.000e-03 eta: 10:06:20 time: 0.214 data_time: 0.014 memory: 5148 grad_norm: 7.5520 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4207 loss: 1.4207 2022/06/28 12:06:31 - mmengine - INFO - Epoch(train) [64][1960/3757] lr: 1.000e-03 eta: 10:06:15 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 7.5954 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4044 loss: 1.4044 2022/06/28 12:06:36 - mmengine - INFO - Epoch(train) [64][1980/3757] lr: 1.000e-03 eta: 10:06:10 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 6.7953 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6050 loss: 1.6050 2022/06/28 12:06:42 - mmengine - INFO - Epoch(train) [64][2000/3757] lr: 1.000e-03 eta: 10:06:05 time: 0.205 data_time: 0.017 memory: 5148 grad_norm: 8.5758 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2037 loss: 1.2037 2022/06/28 12:06:46 - mmengine - INFO - Epoch(train) [64][2020/3757] lr: 1.000e-03 eta: 10:05:59 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 7.4745 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4577 loss: 1.4577 2022/06/28 12:06:52 - mmengine - INFO - Epoch(train) [64][2040/3757] lr: 1.000e-03 eta: 10:05:54 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 7.0096 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2867 loss: 1.2867 2022/06/28 12:06:57 - mmengine - INFO - Epoch(train) [64][2060/3757] lr: 1.000e-03 eta: 10:05:48 time: 0.209 data_time: 0.019 memory: 5148 grad_norm: 7.8342 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2242 loss: 1.2242 2022/06/28 12:07:03 - mmengine - INFO - Epoch(train) [64][2080/3757] lr: 1.000e-03 eta: 10:05:43 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 7.4203 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5012 loss: 1.5012 2022/06/28 12:07:08 - mmengine - INFO - Epoch(train) [64][2100/3757] lr: 1.000e-03 eta: 10:05:38 time: 0.220 data_time: 0.006 memory: 5148 grad_norm: 8.2919 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3119 loss: 1.3119 2022/06/28 12:07:13 - mmengine - INFO - Epoch(train) [64][2120/3757] lr: 1.000e-03 eta: 10:05:32 time: 0.480 data_time: 0.115 memory: 5148 grad_norm: 8.0699 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2393 loss: 1.2393 2022/06/28 12:07:18 - mmengine - INFO - Epoch(train) [64][2140/3757] lr: 1.000e-03 eta: 10:05:27 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 7.9231 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3668 loss: 1.3668 2022/06/28 12:07:24 - mmengine - INFO - Epoch(train) [64][2160/3757] lr: 1.000e-03 eta: 10:05:22 time: 0.212 data_time: 0.008 memory: 5148 grad_norm: 7.7019 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9318 loss: 0.9318 2022/06/28 12:07:29 - mmengine - INFO - Epoch(train) [64][2180/3757] lr: 1.000e-03 eta: 10:05:17 time: 0.792 data_time: 0.605 memory: 5148 grad_norm: 7.5401 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2856 loss: 1.2856 2022/06/28 12:07:34 - mmengine - INFO - Epoch(train) [64][2200/3757] lr: 1.000e-03 eta: 10:05:11 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.7057 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1756 loss: 1.1756 2022/06/28 12:07:40 - mmengine - INFO - Epoch(train) [64][2220/3757] lr: 1.000e-03 eta: 10:05:06 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 9.0857 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4574 loss: 1.4574 2022/06/28 12:07:45 - mmengine - INFO - Epoch(train) [64][2240/3757] lr: 1.000e-03 eta: 10:05:01 time: 0.212 data_time: 0.036 memory: 5148 grad_norm: 8.2581 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2868 loss: 1.2868 2022/06/28 12:07:50 - mmengine - INFO - Epoch(train) [64][2260/3757] lr: 1.000e-03 eta: 10:04:55 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 6.2337 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5262 loss: 1.5262 2022/06/28 12:07:56 - mmengine - INFO - Epoch(train) [64][2280/3757] lr: 1.000e-03 eta: 10:04:50 time: 0.540 data_time: 0.007 memory: 5148 grad_norm: 7.9291 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2496 loss: 1.2496 2022/06/28 12:08:01 - mmengine - INFO - Epoch(train) [64][2300/3757] lr: 1.000e-03 eta: 10:04:45 time: 0.214 data_time: 0.034 memory: 5148 grad_norm: 6.3097 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2465 loss: 1.2465 2022/06/28 12:08:03 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 12:08:07 - mmengine - INFO - Epoch(train) [64][2320/3757] lr: 1.000e-03 eta: 10:04:39 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 8.5484 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0449 loss: 1.0449 2022/06/28 12:08:12 - mmengine - INFO - Epoch(train) [64][2340/3757] lr: 1.000e-03 eta: 10:04:34 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 7.5583 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3393 loss: 1.3393 2022/06/28 12:08:17 - mmengine - INFO - Epoch(train) [64][2360/3757] lr: 1.000e-03 eta: 10:04:29 time: 0.211 data_time: 0.027 memory: 5148 grad_norm: 6.1995 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3042 loss: 1.3042 2022/06/28 12:08:23 - mmengine - INFO - Epoch(train) [64][2380/3757] lr: 1.000e-03 eta: 10:04:24 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 8.4942 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.5458 loss: 1.5458 2022/06/28 12:08:28 - mmengine - INFO - Epoch(train) [64][2400/3757] lr: 1.000e-03 eta: 10:04:19 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 7.0097 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5471 loss: 1.5471 2022/06/28 12:08:33 - mmengine - INFO - Epoch(train) [64][2420/3757] lr: 1.000e-03 eta: 10:04:13 time: 0.215 data_time: 0.028 memory: 5148 grad_norm: 8.1195 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3591 loss: 1.3591 2022/06/28 12:08:39 - mmengine - INFO - Epoch(train) [64][2440/3757] lr: 1.000e-03 eta: 10:04:08 time: 0.265 data_time: 0.007 memory: 5148 grad_norm: 6.5778 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2590 loss: 1.2590 2022/06/28 12:08:44 - mmengine - INFO - Epoch(train) [64][2460/3757] lr: 1.000e-03 eta: 10:04:02 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 6.7815 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5689 loss: 1.5689 2022/06/28 12:08:49 - mmengine - INFO - Epoch(train) [64][2480/3757] lr: 1.000e-03 eta: 10:03:57 time: 0.204 data_time: 0.021 memory: 5148 grad_norm: 7.7647 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3602 loss: 1.3602 2022/06/28 12:08:55 - mmengine - INFO - Epoch(train) [64][2500/3757] lr: 1.000e-03 eta: 10:03:52 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 8.4097 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5193 loss: 1.5193 2022/06/28 12:09:01 - mmengine - INFO - Epoch(train) [64][2520/3757] lr: 1.000e-03 eta: 10:03:47 time: 0.210 data_time: 0.010 memory: 5148 grad_norm: 8.9345 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4627 loss: 1.4627 2022/06/28 12:09:05 - mmengine - INFO - Epoch(train) [64][2540/3757] lr: 1.000e-03 eta: 10:03:41 time: 0.209 data_time: 0.019 memory: 5148 grad_norm: 7.4529 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4627 loss: 1.4627 2022/06/28 12:09:11 - mmengine - INFO - Epoch(train) [64][2560/3757] lr: 1.000e-03 eta: 10:03:36 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 6.6139 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0638 loss: 1.0638 2022/06/28 12:09:16 - mmengine - INFO - Epoch(train) [64][2580/3757] lr: 1.000e-03 eta: 10:03:31 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 7.3101 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3889 loss: 1.3889 2022/06/28 12:09:21 - mmengine - INFO - Epoch(train) [64][2600/3757] lr: 1.000e-03 eta: 10:03:25 time: 0.200 data_time: 0.017 memory: 5148 grad_norm: 8.0673 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4768 loss: 1.4768 2022/06/28 12:09:27 - mmengine - INFO - Epoch(train) [64][2620/3757] lr: 1.000e-03 eta: 10:03:20 time: 0.225 data_time: 0.013 memory: 5148 grad_norm: 7.3236 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0153 loss: 1.0153 2022/06/28 12:09:33 - mmengine - INFO - Epoch(train) [64][2640/3757] lr: 1.000e-03 eta: 10:03:15 time: 0.228 data_time: 0.010 memory: 5148 grad_norm: 7.0519 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0567 loss: 1.0567 2022/06/28 12:09:37 - mmengine - INFO - Epoch(train) [64][2660/3757] lr: 1.000e-03 eta: 10:03:09 time: 0.223 data_time: 0.016 memory: 5148 grad_norm: 6.8701 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1552 loss: 1.1552 2022/06/28 12:09:43 - mmengine - INFO - Epoch(train) [64][2680/3757] lr: 1.000e-03 eta: 10:03:04 time: 0.224 data_time: 0.014 memory: 5148 grad_norm: 7.6952 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6257 loss: 1.6257 2022/06/28 12:09:48 - mmengine - INFO - Epoch(train) [64][2700/3757] lr: 1.000e-03 eta: 10:02:59 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 7.5993 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3235 loss: 1.3235 2022/06/28 12:09:53 - mmengine - INFO - Epoch(train) [64][2720/3757] lr: 1.000e-03 eta: 10:02:53 time: 0.194 data_time: 0.016 memory: 5148 grad_norm: 7.2469 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1382 loss: 1.1382 2022/06/28 12:09:59 - mmengine - INFO - Epoch(train) [64][2740/3757] lr: 1.000e-03 eta: 10:02:48 time: 0.216 data_time: 0.021 memory: 5148 grad_norm: 7.1057 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2009 loss: 1.2009 2022/06/28 12:10:04 - mmengine - INFO - Epoch(train) [64][2760/3757] lr: 1.000e-03 eta: 10:02:43 time: 0.204 data_time: 0.016 memory: 5148 grad_norm: 7.0359 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3171 loss: 1.3171 2022/06/28 12:10:09 - mmengine - INFO - Epoch(train) [64][2780/3757] lr: 1.000e-03 eta: 10:02:37 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 8.6593 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2572 loss: 1.2572 2022/06/28 12:10:15 - mmengine - INFO - Epoch(train) [64][2800/3757] lr: 1.000e-03 eta: 10:02:32 time: 1.070 data_time: 0.021 memory: 5148 grad_norm: 8.1530 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2478 loss: 1.2478 2022/06/28 12:10:20 - mmengine - INFO - Epoch(train) [64][2820/3757] lr: 1.000e-03 eta: 10:02:27 time: 0.217 data_time: 0.016 memory: 5148 grad_norm: 6.2260 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4491 loss: 1.4491 2022/06/28 12:10:25 - mmengine - INFO - Epoch(train) [64][2840/3757] lr: 1.000e-03 eta: 10:02:22 time: 0.200 data_time: 0.020 memory: 5148 grad_norm: 7.9956 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3916 loss: 1.3916 2022/06/28 12:10:31 - mmengine - INFO - Epoch(train) [64][2860/3757] lr: 1.000e-03 eta: 10:02:16 time: 0.219 data_time: 0.015 memory: 5148 grad_norm: 6.9004 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8981 loss: 0.8981 2022/06/28 12:10:35 - mmengine - INFO - Epoch(train) [64][2880/3757] lr: 1.000e-03 eta: 10:02:11 time: 0.208 data_time: 0.010 memory: 5148 grad_norm: 8.2530 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4211 loss: 1.4211 2022/06/28 12:10:42 - mmengine - INFO - Epoch(train) [64][2900/3757] lr: 1.000e-03 eta: 10:02:06 time: 0.202 data_time: 0.009 memory: 5148 grad_norm: 7.8394 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4690 loss: 1.4690 2022/06/28 12:10:46 - mmengine - INFO - Epoch(train) [64][2920/3757] lr: 1.000e-03 eta: 10:02:00 time: 0.212 data_time: 0.013 memory: 5148 grad_norm: 8.0612 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2155 loss: 1.2155 2022/06/28 12:10:51 - mmengine - INFO - Epoch(train) [64][2940/3757] lr: 1.000e-03 eta: 10:01:55 time: 0.201 data_time: 0.019 memory: 5148 grad_norm: 7.3432 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5250 loss: 1.5250 2022/06/28 12:10:56 - mmengine - INFO - Epoch(train) [64][2960/3757] lr: 1.000e-03 eta: 10:01:49 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 8.3938 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2826 loss: 1.2826 2022/06/28 12:11:02 - mmengine - INFO - Epoch(train) [64][2980/3757] lr: 1.000e-03 eta: 10:01:44 time: 0.203 data_time: 0.016 memory: 5148 grad_norm: 7.6053 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1425 loss: 1.1425 2022/06/28 12:11:07 - mmengine - INFO - Epoch(train) [64][3000/3757] lr: 1.000e-03 eta: 10:01:39 time: 0.203 data_time: 0.019 memory: 5148 grad_norm: 6.3664 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2681 loss: 1.2681 2022/06/28 12:11:12 - mmengine - INFO - Epoch(train) [64][3020/3757] lr: 1.000e-03 eta: 10:01:33 time: 0.196 data_time: 0.009 memory: 5148 grad_norm: 6.1912 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1939 loss: 1.1939 2022/06/28 12:11:18 - mmengine - INFO - Epoch(train) [64][3040/3757] lr: 1.000e-03 eta: 10:01:28 time: 0.206 data_time: 0.015 memory: 5148 grad_norm: 6.9627 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2197 loss: 1.2197 2022/06/28 12:11:24 - mmengine - INFO - Epoch(train) [64][3060/3757] lr: 1.000e-03 eta: 10:01:23 time: 0.211 data_time: 0.016 memory: 5148 grad_norm: 7.5058 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3370 loss: 1.3370 2022/06/28 12:11:29 - mmengine - INFO - Epoch(train) [64][3080/3757] lr: 1.000e-03 eta: 10:01:18 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 7.1171 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3431 loss: 1.3431 2022/06/28 12:11:34 - mmengine - INFO - Epoch(train) [64][3100/3757] lr: 1.000e-03 eta: 10:01:12 time: 0.216 data_time: 0.008 memory: 5148 grad_norm: 7.7252 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1348 loss: 1.1348 2022/06/28 12:11:41 - mmengine - INFO - Epoch(train) [64][3120/3757] lr: 1.000e-03 eta: 10:01:08 time: 0.221 data_time: 0.034 memory: 5148 grad_norm: 8.2588 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1641 loss: 1.1641 2022/06/28 12:11:45 - mmengine - INFO - Epoch(train) [64][3140/3757] lr: 1.000e-03 eta: 10:01:02 time: 0.196 data_time: 0.014 memory: 5148 grad_norm: 7.5903 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2479 loss: 1.2479 2022/06/28 12:11:50 - mmengine - INFO - Epoch(train) [64][3160/3757] lr: 1.000e-03 eta: 10:00:57 time: 0.199 data_time: 0.012 memory: 5148 grad_norm: 7.6030 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4333 loss: 1.4333 2022/06/28 12:11:56 - mmengine - INFO - Epoch(train) [64][3180/3757] lr: 1.000e-03 eta: 10:00:51 time: 0.205 data_time: 0.024 memory: 5148 grad_norm: 7.3864 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7644 loss: 1.7644 2022/06/28 12:12:01 - mmengine - INFO - Epoch(train) [64][3200/3757] lr: 1.000e-03 eta: 10:00:46 time: 0.217 data_time: 0.006 memory: 5148 grad_norm: 7.8238 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3970 loss: 1.3970 2022/06/28 12:12:06 - mmengine - INFO - Epoch(train) [64][3220/3757] lr: 1.000e-03 eta: 10:00:40 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.4184 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5304 loss: 1.5304 2022/06/28 12:12:12 - mmengine - INFO - Epoch(train) [64][3240/3757] lr: 1.000e-03 eta: 10:00:36 time: 0.208 data_time: 0.017 memory: 5148 grad_norm: 7.5374 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3045 loss: 1.3045 2022/06/28 12:12:16 - mmengine - INFO - Epoch(train) [64][3260/3757] lr: 1.000e-03 eta: 10:00:30 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 6.3275 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1004 loss: 1.1004 2022/06/28 12:12:22 - mmengine - INFO - Epoch(train) [64][3280/3757] lr: 1.000e-03 eta: 10:00:25 time: 0.210 data_time: 0.013 memory: 5148 grad_norm: 7.3537 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7158 loss: 1.7158 2022/06/28 12:12:28 - mmengine - INFO - Epoch(train) [64][3300/3757] lr: 1.000e-03 eta: 10:00:20 time: 0.201 data_time: 0.013 memory: 5148 grad_norm: 8.5458 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6424 loss: 1.6424 2022/06/28 12:12:30 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 12:12:33 - mmengine - INFO - Epoch(train) [64][3320/3757] lr: 1.000e-03 eta: 10:00:14 time: 0.241 data_time: 0.008 memory: 5148 grad_norm: 9.7676 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3150 loss: 1.3150 2022/06/28 12:12:38 - mmengine - INFO - Epoch(train) [64][3340/3757] lr: 1.000e-03 eta: 10:00:09 time: 0.209 data_time: 0.010 memory: 5148 grad_norm: 7.4164 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1596 loss: 1.1596 2022/06/28 12:12:44 - mmengine - INFO - Epoch(train) [64][3360/3757] lr: 1.000e-03 eta: 10:00:04 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 7.5051 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3483 loss: 1.3483 2022/06/28 12:12:48 - mmengine - INFO - Epoch(train) [64][3380/3757] lr: 1.000e-03 eta: 9:59:58 time: 0.207 data_time: 0.006 memory: 5148 grad_norm: 8.5203 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4773 loss: 1.4773 2022/06/28 12:12:54 - mmengine - INFO - Epoch(train) [64][3400/3757] lr: 1.000e-03 eta: 9:59:53 time: 0.205 data_time: 0.013 memory: 5148 grad_norm: 7.9119 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8884 loss: 0.8884 2022/06/28 12:12:59 - mmengine - INFO - Epoch(train) [64][3420/3757] lr: 1.000e-03 eta: 9:59:48 time: 0.202 data_time: 0.014 memory: 5148 grad_norm: 7.5891 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7010 loss: 1.7010 2022/06/28 12:13:04 - mmengine - INFO - Epoch(train) [64][3440/3757] lr: 1.000e-03 eta: 9:59:42 time: 0.211 data_time: 0.015 memory: 5148 grad_norm: 9.6282 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1943 loss: 1.1943 2022/06/28 12:13:10 - mmengine - INFO - Epoch(train) [64][3460/3757] lr: 1.000e-03 eta: 9:59:37 time: 0.204 data_time: 0.013 memory: 5148 grad_norm: 7.4902 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0097 loss: 1.0097 2022/06/28 12:13:15 - mmengine - INFO - Epoch(train) [64][3480/3757] lr: 1.000e-03 eta: 9:59:31 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 7.5726 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3605 loss: 1.3605 2022/06/28 12:13:21 - mmengine - INFO - Epoch(train) [64][3500/3757] lr: 1.000e-03 eta: 9:59:26 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 9.8954 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7162 loss: 1.7162 2022/06/28 12:13:26 - mmengine - INFO - Epoch(train) [64][3520/3757] lr: 1.000e-03 eta: 9:59:21 time: 0.192 data_time: 0.009 memory: 5148 grad_norm: 5.9556 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1692 loss: 1.1692 2022/06/28 12:13:32 - mmengine - INFO - Epoch(train) [64][3540/3757] lr: 1.000e-03 eta: 9:59:16 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 6.0824 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6978 loss: 1.6978 2022/06/28 12:13:37 - mmengine - INFO - Epoch(train) [64][3560/3757] lr: 1.000e-03 eta: 9:59:10 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 7.1400 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3930 loss: 1.3930 2022/06/28 12:13:42 - mmengine - INFO - Epoch(train) [64][3580/3757] lr: 1.000e-03 eta: 9:59:05 time: 0.190 data_time: 0.007 memory: 5148 grad_norm: 6.4319 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2603 loss: 1.2603 2022/06/28 12:13:47 - mmengine - INFO - Epoch(train) [64][3600/3757] lr: 1.000e-03 eta: 9:59:00 time: 0.199 data_time: 0.013 memory: 5148 grad_norm: 8.0747 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8534 loss: 1.8534 2022/06/28 12:13:53 - mmengine - INFO - Epoch(train) [64][3620/3757] lr: 1.000e-03 eta: 9:58:55 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 7.8418 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2395 loss: 1.2395 2022/06/28 12:13:57 - mmengine - INFO - Epoch(train) [64][3640/3757] lr: 1.000e-03 eta: 9:58:49 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 6.7858 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3883 loss: 1.3883 2022/06/28 12:14:03 - mmengine - INFO - Epoch(train) [64][3660/3757] lr: 1.000e-03 eta: 9:58:44 time: 0.198 data_time: 0.016 memory: 5148 grad_norm: 8.2034 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5878 loss: 1.5878 2022/06/28 12:14:09 - mmengine - INFO - Epoch(train) [64][3680/3757] lr: 1.000e-03 eta: 9:58:39 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 8.5179 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3542 loss: 1.3542 2022/06/28 12:14:14 - mmengine - INFO - Epoch(train) [64][3700/3757] lr: 1.000e-03 eta: 9:58:33 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 8.2279 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4465 loss: 1.4465 2022/06/28 12:14:19 - mmengine - INFO - Epoch(train) [64][3720/3757] lr: 1.000e-03 eta: 9:58:28 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 6.9278 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6021 loss: 1.6021 2022/06/28 12:14:25 - mmengine - INFO - Epoch(train) [64][3740/3757] lr: 1.000e-03 eta: 9:58:23 time: 0.205 data_time: 0.021 memory: 5148 grad_norm: 9.2146 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2963 loss: 1.2963 2022/06/28 12:14:28 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 12:14:35 - mmengine - INFO - Epoch(val) [64][20/310] eta: 0:01:06 time: 0.083 data_time: 0.012 memory: 5148 2022/06/28 12:14:39 - mmengine - INFO - Epoch(val) [64][40/310] eta: 0:01:03 time: 0.079 data_time: 0.008 memory: 1367 2022/06/28 12:14:45 - mmengine - INFO - Epoch(val) [64][60/310] eta: 0:00:53 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 12:14:50 - mmengine - INFO - Epoch(val) [64][80/310] eta: 0:00:55 time: 0.088 data_time: 0.017 memory: 1367 2022/06/28 12:14:56 - mmengine - INFO - Epoch(val) [64][100/310] eta: 0:00:50 time: 0.082 data_time: 0.008 memory: 1367 2022/06/28 12:15:00 - mmengine - INFO - Epoch(val) [64][120/310] eta: 0:00:46 time: 0.080 data_time: 0.008 memory: 1367 2022/06/28 12:15:07 - mmengine - INFO - Epoch(val) [64][140/310] eta: 0:00:50 time: 0.078 data_time: 0.005 memory: 1367 2022/06/28 12:15:11 - mmengine - INFO - Epoch(val) [64][160/310] eta: 0:00:38 time: 0.198 data_time: 0.127 memory: 1367 2022/06/28 12:15:17 - mmengine - INFO - Epoch(val) [64][180/310] eta: 0:00:45 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 12:15:22 - mmengine - INFO - Epoch(val) [64][200/310] eta: 0:00:25 time: 0.247 data_time: 0.171 memory: 1367 2022/06/28 12:15:29 - mmengine - INFO - Epoch(val) [64][220/310] eta: 0:00:38 time: 0.087 data_time: 0.005 memory: 1367 2022/06/28 12:15:33 - mmengine - INFO - Epoch(val) [64][240/310] eta: 0:00:15 time: 0.083 data_time: 0.005 memory: 1367 2022/06/28 12:15:39 - mmengine - INFO - Epoch(val) [64][260/310] eta: 0:00:18 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 12:15:44 - mmengine - INFO - Epoch(val) [64][280/310] eta: 0:00:07 time: 0.084 data_time: 0.005 memory: 1367 2022/06/28 12:15:49 - mmengine - INFO - Epoch(val) [64][300/310] eta: 0:00:03 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 12:15:52 - mmengine - INFO - Epoch(val) [64][310/310] acc/top1: 0.6492 acc/top5: 0.8563 acc/mean1: 0.6491 2022/06/28 12:16:00 - mmengine - INFO - Epoch(train) [65][20/3757] lr: 1.000e-03 eta: 9:58:13 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 7.3413 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0319 loss: 1.0319 2022/06/28 12:16:06 - mmengine - INFO - Epoch(train) [65][40/3757] lr: 1.000e-03 eta: 9:58:08 time: 0.193 data_time: 0.008 memory: 5148 grad_norm: 7.2327 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.0007 loss: 1.0007 2022/06/28 12:16:11 - mmengine - INFO - Epoch(train) [65][60/3757] lr: 1.000e-03 eta: 9:58:02 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 7.6461 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1635 loss: 1.1635 2022/06/28 12:16:16 - mmengine - INFO - Epoch(train) [65][80/3757] lr: 1.000e-03 eta: 9:57:57 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 7.2534 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5002 loss: 1.5002 2022/06/28 12:16:22 - mmengine - INFO - Epoch(train) [65][100/3757] lr: 1.000e-03 eta: 9:57:52 time: 0.235 data_time: 0.011 memory: 5148 grad_norm: 8.2346 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0996 loss: 1.0996 2022/06/28 12:16:27 - mmengine - INFO - Epoch(train) [65][120/3757] lr: 1.000e-03 eta: 9:57:46 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.9973 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3418 loss: 1.3418 2022/06/28 12:16:33 - mmengine - INFO - Epoch(train) [65][140/3757] lr: 1.000e-03 eta: 9:57:41 time: 0.191 data_time: 0.011 memory: 5148 grad_norm: 6.4316 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4076 loss: 1.4076 2022/06/28 12:16:38 - mmengine - INFO - Epoch(train) [65][160/3757] lr: 1.000e-03 eta: 9:57:36 time: 0.217 data_time: 0.006 memory: 5148 grad_norm: 9.4505 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7849 loss: 1.7849 2022/06/28 12:16:43 - mmengine - INFO - Epoch(train) [65][180/3757] lr: 1.000e-03 eta: 9:57:31 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 8.1328 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1733 loss: 1.1733 2022/06/28 12:16:49 - mmengine - INFO - Epoch(train) [65][200/3757] lr: 1.000e-03 eta: 9:57:26 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 7.2267 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6339 loss: 1.6339 2022/06/28 12:16:55 - mmengine - INFO - Epoch(train) [65][220/3757] lr: 1.000e-03 eta: 9:57:21 time: 0.443 data_time: 0.008 memory: 5148 grad_norm: 9.0835 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.7773 loss: 1.7773 2022/06/28 12:17:00 - mmengine - INFO - Epoch(train) [65][240/3757] lr: 1.000e-03 eta: 9:57:15 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 7.3182 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4779 loss: 1.4779 2022/06/28 12:17:05 - mmengine - INFO - Epoch(train) [65][260/3757] lr: 1.000e-03 eta: 9:57:10 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 7.3963 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6607 loss: 1.6607 2022/06/28 12:17:11 - mmengine - INFO - Epoch(train) [65][280/3757] lr: 1.000e-03 eta: 9:57:05 time: 0.227 data_time: 0.007 memory: 5148 grad_norm: 7.5654 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1974 loss: 1.1974 2022/06/28 12:17:16 - mmengine - INFO - Epoch(train) [65][300/3757] lr: 1.000e-03 eta: 9:56:59 time: 0.196 data_time: 0.012 memory: 5148 grad_norm: 8.1341 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9236 loss: 0.9236 2022/06/28 12:17:22 - mmengine - INFO - Epoch(train) [65][320/3757] lr: 1.000e-03 eta: 9:56:54 time: 0.206 data_time: 0.015 memory: 5148 grad_norm: 7.4244 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0768 loss: 1.0768 2022/06/28 12:17:26 - mmengine - INFO - Epoch(train) [65][340/3757] lr: 1.000e-03 eta: 9:56:49 time: 0.219 data_time: 0.023 memory: 5148 grad_norm: 8.0473 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6249 loss: 1.6249 2022/06/28 12:17:31 - mmengine - INFO - Epoch(train) [65][360/3757] lr: 1.000e-03 eta: 9:56:43 time: 0.208 data_time: 0.017 memory: 5148 grad_norm: 7.6399 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5032 loss: 1.5032 2022/06/28 12:17:37 - mmengine - INFO - Epoch(train) [65][380/3757] lr: 1.000e-03 eta: 9:56:38 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 7.2476 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5867 loss: 1.5867 2022/06/28 12:17:42 - mmengine - INFO - Epoch(train) [65][400/3757] lr: 1.000e-03 eta: 9:56:33 time: 0.206 data_time: 0.016 memory: 5148 grad_norm: 7.9533 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5561 loss: 1.5561 2022/06/28 12:17:47 - mmengine - INFO - Epoch(train) [65][420/3757] lr: 1.000e-03 eta: 9:56:27 time: 0.198 data_time: 0.013 memory: 5148 grad_norm: 8.0449 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2370 loss: 1.2370 2022/06/28 12:17:53 - mmengine - INFO - Epoch(train) [65][440/3757] lr: 1.000e-03 eta: 9:56:22 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 8.4114 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6002 loss: 1.6002 2022/06/28 12:17:58 - mmengine - INFO - Epoch(train) [65][460/3757] lr: 1.000e-03 eta: 9:56:17 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 7.3949 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3700 loss: 1.3700 2022/06/28 12:18:03 - mmengine - INFO - Epoch(train) [65][480/3757] lr: 1.000e-03 eta: 9:56:11 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 7.5930 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2327 loss: 1.2327 2022/06/28 12:18:09 - mmengine - INFO - Epoch(train) [65][500/3757] lr: 1.000e-03 eta: 9:56:06 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 6.0845 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0930 loss: 1.0930 2022/06/28 12:18:14 - mmengine - INFO - Epoch(train) [65][520/3757] lr: 1.000e-03 eta: 9:56:01 time: 0.211 data_time: 0.008 memory: 5148 grad_norm: 6.5076 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5221 loss: 1.5221 2022/06/28 12:18:19 - mmengine - INFO - Epoch(train) [65][540/3757] lr: 1.000e-03 eta: 9:55:55 time: 0.200 data_time: 0.012 memory: 5148 grad_norm: 8.0887 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5947 loss: 1.5947 2022/06/28 12:18:22 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 12:18:25 - mmengine - INFO - Epoch(train) [65][560/3757] lr: 1.000e-03 eta: 9:55:50 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 9.4974 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2548 loss: 1.2548 2022/06/28 12:18:30 - mmengine - INFO - Epoch(train) [65][580/3757] lr: 1.000e-03 eta: 9:55:45 time: 0.295 data_time: 0.007 memory: 5148 grad_norm: 8.0679 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2133 loss: 1.2133 2022/06/28 12:18:35 - mmengine - INFO - Epoch(train) [65][600/3757] lr: 1.000e-03 eta: 9:55:39 time: 0.210 data_time: 0.009 memory: 5148 grad_norm: 8.1836 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5879 loss: 1.5879 2022/06/28 12:18:41 - mmengine - INFO - Epoch(train) [65][620/3757] lr: 1.000e-03 eta: 9:55:34 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 8.1292 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2469 loss: 1.2469 2022/06/28 12:18:47 - mmengine - INFO - Epoch(train) [65][640/3757] lr: 1.000e-03 eta: 9:55:29 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 8.7475 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4477 loss: 1.4477 2022/06/28 12:18:52 - mmengine - INFO - Epoch(train) [65][660/3757] lr: 1.000e-03 eta: 9:55:24 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 8.3400 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9167 loss: 1.9167 2022/06/28 12:18:57 - mmengine - INFO - Epoch(train) [65][680/3757] lr: 1.000e-03 eta: 9:55:19 time: 0.192 data_time: 0.006 memory: 5148 grad_norm: 8.2499 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1421 loss: 1.1421 2022/06/28 12:19:03 - mmengine - INFO - Epoch(train) [65][700/3757] lr: 1.000e-03 eta: 9:55:13 time: 0.240 data_time: 0.007 memory: 5148 grad_norm: 8.9044 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2520 loss: 1.2520 2022/06/28 12:19:08 - mmengine - INFO - Epoch(train) [65][720/3757] lr: 1.000e-03 eta: 9:55:08 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 8.1887 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3486 loss: 1.3486 2022/06/28 12:19:13 - mmengine - INFO - Epoch(train) [65][740/3757] lr: 1.000e-03 eta: 9:55:03 time: 0.210 data_time: 0.011 memory: 5148 grad_norm: 8.8716 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5844 loss: 1.5844 2022/06/28 12:19:19 - mmengine - INFO - Epoch(train) [65][760/3757] lr: 1.000e-03 eta: 9:54:58 time: 0.218 data_time: 0.007 memory: 5148 grad_norm: 7.8830 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6198 loss: 1.6198 2022/06/28 12:19:24 - mmengine - INFO - Epoch(train) [65][780/3757] lr: 1.000e-03 eta: 9:54:52 time: 0.210 data_time: 0.009 memory: 5148 grad_norm: 7.5774 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3682 loss: 1.3682 2022/06/28 12:19:29 - mmengine - INFO - Epoch(train) [65][800/3757] lr: 1.000e-03 eta: 9:54:47 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 8.0425 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1782 loss: 1.1782 2022/06/28 12:19:35 - mmengine - INFO - Epoch(train) [65][820/3757] lr: 1.000e-03 eta: 9:54:42 time: 0.223 data_time: 0.017 memory: 5148 grad_norm: 8.9628 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1116 loss: 1.1116 2022/06/28 12:19:40 - mmengine - INFO - Epoch(train) [65][840/3757] lr: 1.000e-03 eta: 9:54:36 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 7.5753 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1388 loss: 1.1388 2022/06/28 12:19:45 - mmengine - INFO - Epoch(train) [65][860/3757] lr: 1.000e-03 eta: 9:54:31 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 7.6572 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9957 loss: 0.9957 2022/06/28 12:19:51 - mmengine - INFO - Epoch(train) [65][880/3757] lr: 1.000e-03 eta: 9:54:26 time: 0.323 data_time: 0.011 memory: 5148 grad_norm: 7.3101 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1104 loss: 1.1104 2022/06/28 12:19:56 - mmengine - INFO - Epoch(train) [65][900/3757] lr: 1.000e-03 eta: 9:54:20 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.2926 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1667 loss: 1.1667 2022/06/28 12:20:02 - mmengine - INFO - Epoch(train) [65][920/3757] lr: 1.000e-03 eta: 9:54:15 time: 0.209 data_time: 0.013 memory: 5148 grad_norm: 7.7521 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3564 loss: 1.3564 2022/06/28 12:20:07 - mmengine - INFO - Epoch(train) [65][940/3757] lr: 1.000e-03 eta: 9:54:10 time: 0.217 data_time: 0.010 memory: 5148 grad_norm: 7.7078 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4642 loss: 1.4642 2022/06/28 12:20:12 - mmengine - INFO - Epoch(train) [65][960/3757] lr: 1.000e-03 eta: 9:54:04 time: 0.203 data_time: 0.017 memory: 5148 grad_norm: 8.7793 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0984 loss: 1.0984 2022/06/28 12:20:18 - mmengine - INFO - Epoch(train) [65][980/3757] lr: 1.000e-03 eta: 9:53:59 time: 0.227 data_time: 0.013 memory: 5148 grad_norm: 6.5192 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0513 loss: 1.0513 2022/06/28 12:20:24 - mmengine - INFO - Epoch(train) [65][1000/3757] lr: 1.000e-03 eta: 9:53:54 time: 0.224 data_time: 0.010 memory: 5148 grad_norm: 6.9900 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0958 loss: 1.0958 2022/06/28 12:20:29 - mmengine - INFO - Epoch(train) [65][1020/3757] lr: 1.000e-03 eta: 9:53:49 time: 0.207 data_time: 0.021 memory: 5148 grad_norm: 7.9421 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7459 loss: 1.7459 2022/06/28 12:20:34 - mmengine - INFO - Epoch(train) [65][1040/3757] lr: 1.000e-03 eta: 9:53:43 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 6.7478 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0916 loss: 1.0916 2022/06/28 12:20:39 - mmengine - INFO - Epoch(train) [65][1060/3757] lr: 1.000e-03 eta: 9:53:38 time: 0.216 data_time: 0.009 memory: 5148 grad_norm: 7.5533 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4022 loss: 1.4022 2022/06/28 12:20:44 - mmengine - INFO - Epoch(train) [65][1080/3757] lr: 1.000e-03 eta: 9:53:33 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 8.0343 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3054 loss: 1.3054 2022/06/28 12:20:50 - mmengine - INFO - Epoch(train) [65][1100/3757] lr: 1.000e-03 eta: 9:53:27 time: 0.201 data_time: 0.012 memory: 5148 grad_norm: 7.4978 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3627 loss: 1.3627 2022/06/28 12:20:55 - mmengine - INFO - Epoch(train) [65][1120/3757] lr: 1.000e-03 eta: 9:53:22 time: 0.225 data_time: 0.010 memory: 5148 grad_norm: 7.5815 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5585 loss: 1.5585 2022/06/28 12:21:00 - mmengine - INFO - Epoch(train) [65][1140/3757] lr: 1.000e-03 eta: 9:53:17 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 7.2551 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.5191 loss: 1.5191 2022/06/28 12:21:05 - mmengine - INFO - Epoch(train) [65][1160/3757] lr: 1.000e-03 eta: 9:53:11 time: 0.208 data_time: 0.018 memory: 5148 grad_norm: 7.6139 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3855 loss: 1.3855 2022/06/28 12:21:11 - mmengine - INFO - Epoch(train) [65][1180/3757] lr: 1.000e-03 eta: 9:53:06 time: 0.303 data_time: 0.031 memory: 5148 grad_norm: 7.4095 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5997 loss: 1.5997 2022/06/28 12:21:16 - mmengine - INFO - Epoch(train) [65][1200/3757] lr: 1.000e-03 eta: 9:53:00 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 7.8273 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3269 loss: 1.3269 2022/06/28 12:21:22 - mmengine - INFO - Epoch(train) [65][1220/3757] lr: 1.000e-03 eta: 9:52:56 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 7.1893 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5159 loss: 1.5159 2022/06/28 12:21:27 - mmengine - INFO - Epoch(train) [65][1240/3757] lr: 1.000e-03 eta: 9:52:50 time: 0.213 data_time: 0.012 memory: 5148 grad_norm: 7.9625 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4876 loss: 1.4876 2022/06/28 12:21:32 - mmengine - INFO - Epoch(train) [65][1260/3757] lr: 1.000e-03 eta: 9:52:45 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 7.8223 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3186 loss: 1.3186 2022/06/28 12:21:37 - mmengine - INFO - Epoch(train) [65][1280/3757] lr: 1.000e-03 eta: 9:52:40 time: 0.205 data_time: 0.022 memory: 5148 grad_norm: 7.8408 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2188 loss: 1.2188 2022/06/28 12:21:43 - mmengine - INFO - Epoch(train) [65][1300/3757] lr: 1.000e-03 eta: 9:52:34 time: 0.226 data_time: 0.018 memory: 5148 grad_norm: 8.2529 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7814 loss: 1.7814 2022/06/28 12:21:48 - mmengine - INFO - Epoch(train) [65][1320/3757] lr: 1.000e-03 eta: 9:52:29 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 8.4623 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4241 loss: 1.4241 2022/06/28 12:21:53 - mmengine - INFO - Epoch(train) [65][1340/3757] lr: 1.000e-03 eta: 9:52:24 time: 0.201 data_time: 0.023 memory: 5148 grad_norm: 7.2223 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3042 loss: 1.3042 2022/06/28 12:21:59 - mmengine - INFO - Epoch(train) [65][1360/3757] lr: 1.000e-03 eta: 9:52:18 time: 0.542 data_time: 0.029 memory: 5148 grad_norm: 7.4117 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2609 loss: 1.2609 2022/06/28 12:22:04 - mmengine - INFO - Epoch(train) [65][1380/3757] lr: 1.000e-03 eta: 9:52:13 time: 0.246 data_time: 0.006 memory: 5148 grad_norm: 7.5065 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5203 loss: 1.5203 2022/06/28 12:22:10 - mmengine - INFO - Epoch(train) [65][1400/3757] lr: 1.000e-03 eta: 9:52:08 time: 0.213 data_time: 0.028 memory: 5148 grad_norm: 6.9152 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5360 loss: 1.5360 2022/06/28 12:22:15 - mmengine - INFO - Epoch(train) [65][1420/3757] lr: 1.000e-03 eta: 9:52:03 time: 0.217 data_time: 0.023 memory: 5148 grad_norm: 6.2952 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6188 loss: 1.6188 2022/06/28 12:22:19 - mmengine - INFO - Epoch(train) [65][1440/3757] lr: 1.000e-03 eta: 9:51:57 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 7.9979 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1219 loss: 1.1219 2022/06/28 12:22:25 - mmengine - INFO - Epoch(train) [65][1460/3757] lr: 1.000e-03 eta: 9:51:52 time: 0.321 data_time: 0.140 memory: 5148 grad_norm: 8.0860 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1370 loss: 1.1370 2022/06/28 12:22:31 - mmengine - INFO - Epoch(train) [65][1480/3757] lr: 1.000e-03 eta: 9:51:46 time: 0.327 data_time: 0.007 memory: 5148 grad_norm: 8.4010 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5195 loss: 1.5195 2022/06/28 12:22:36 - mmengine - INFO - Epoch(train) [65][1500/3757] lr: 1.000e-03 eta: 9:51:41 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 6.3329 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4662 loss: 1.4662 2022/06/28 12:22:41 - mmengine - INFO - Epoch(train) [65][1520/3757] lr: 1.000e-03 eta: 9:51:36 time: 0.460 data_time: 0.284 memory: 5148 grad_norm: 5.6367 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3769 loss: 1.3769 2022/06/28 12:22:46 - mmengine - INFO - Epoch(train) [65][1540/3757] lr: 1.000e-03 eta: 9:51:30 time: 0.236 data_time: 0.012 memory: 5148 grad_norm: 6.2618 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2311 loss: 1.2311 2022/06/28 12:22:49 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 12:22:52 - mmengine - INFO - Epoch(train) [65][1560/3757] lr: 1.000e-03 eta: 9:51:25 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 7.8881 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4979 loss: 1.4979 2022/06/28 12:22:57 - mmengine - INFO - Epoch(train) [65][1580/3757] lr: 1.000e-03 eta: 9:51:20 time: 0.561 data_time: 0.374 memory: 5148 grad_norm: 9.2318 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4680 loss: 1.4680 2022/06/28 12:23:02 - mmengine - INFO - Epoch(train) [65][1600/3757] lr: 1.000e-03 eta: 9:51:14 time: 0.930 data_time: 0.013 memory: 5148 grad_norm: 7.2575 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3923 loss: 1.3923 2022/06/28 12:23:07 - mmengine - INFO - Epoch(train) [65][1620/3757] lr: 1.000e-03 eta: 9:51:09 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 7.8191 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0302 loss: 1.0302 2022/06/28 12:23:13 - mmengine - INFO - Epoch(train) [65][1640/3757] lr: 1.000e-03 eta: 9:51:04 time: 0.583 data_time: 0.403 memory: 5148 grad_norm: 7.2182 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3551 loss: 1.3551 2022/06/28 12:23:17 - mmengine - INFO - Epoch(train) [65][1660/3757] lr: 1.000e-03 eta: 9:50:58 time: 0.209 data_time: 0.014 memory: 5148 grad_norm: 8.3913 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3557 loss: 1.3557 2022/06/28 12:23:23 - mmengine - INFO - Epoch(train) [65][1680/3757] lr: 1.000e-03 eta: 9:50:53 time: 0.213 data_time: 0.008 memory: 5148 grad_norm: 6.3980 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0888 loss: 1.0888 2022/06/28 12:23:28 - mmengine - INFO - Epoch(train) [65][1700/3757] lr: 1.000e-03 eta: 9:50:48 time: 0.665 data_time: 0.483 memory: 5148 grad_norm: 8.0975 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0067 loss: 1.0067 2022/06/28 12:23:33 - mmengine - INFO - Epoch(train) [65][1720/3757] lr: 1.000e-03 eta: 9:50:42 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 8.0434 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3474 loss: 1.3474 2022/06/28 12:23:39 - mmengine - INFO - Epoch(train) [65][1740/3757] lr: 1.000e-03 eta: 9:50:37 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 8.0866 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5905 loss: 1.5905 2022/06/28 12:23:44 - mmengine - INFO - Epoch(train) [65][1760/3757] lr: 1.000e-03 eta: 9:50:32 time: 0.590 data_time: 0.413 memory: 5148 grad_norm: 7.1484 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1780 loss: 1.1780 2022/06/28 12:23:50 - mmengine - INFO - Epoch(train) [65][1780/3757] lr: 1.000e-03 eta: 9:50:26 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 8.5800 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1832 loss: 1.1832 2022/06/28 12:23:55 - mmengine - INFO - Epoch(train) [65][1800/3757] lr: 1.000e-03 eta: 9:50:21 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 7.0036 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6471 loss: 1.6471 2022/06/28 12:24:00 - mmengine - INFO - Epoch(train) [65][1820/3757] lr: 1.000e-03 eta: 9:50:16 time: 0.216 data_time: 0.014 memory: 5148 grad_norm: 8.0405 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6543 loss: 1.6543 2022/06/28 12:24:06 - mmengine - INFO - Epoch(train) [65][1840/3757] lr: 1.000e-03 eta: 9:50:11 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 7.7000 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1950 loss: 1.1950 2022/06/28 12:24:10 - mmengine - INFO - Epoch(train) [65][1860/3757] lr: 1.000e-03 eta: 9:50:05 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 6.3766 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4620 loss: 1.4620 2022/06/28 12:24:16 - mmengine - INFO - Epoch(train) [65][1880/3757] lr: 1.000e-03 eta: 9:50:00 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 7.7700 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3776 loss: 1.3776 2022/06/28 12:24:21 - mmengine - INFO - Epoch(train) [65][1900/3757] lr: 1.000e-03 eta: 9:49:54 time: 0.220 data_time: 0.007 memory: 5148 grad_norm: 8.6580 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1136 loss: 1.1136 2022/06/28 12:24:26 - mmengine - INFO - Epoch(train) [65][1920/3757] lr: 1.000e-03 eta: 9:49:49 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 6.2521 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6184 loss: 1.6184 2022/06/28 12:24:32 - mmengine - INFO - Epoch(train) [65][1940/3757] lr: 1.000e-03 eta: 9:49:44 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.5333 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3132 loss: 1.3132 2022/06/28 12:24:37 - mmengine - INFO - Epoch(train) [65][1960/3757] lr: 1.000e-03 eta: 9:49:38 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.5861 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3163 loss: 1.3163 2022/06/28 12:24:42 - mmengine - INFO - Epoch(train) [65][1980/3757] lr: 1.000e-03 eta: 9:49:33 time: 0.212 data_time: 0.006 memory: 5148 grad_norm: 7.9162 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4662 loss: 1.4662 2022/06/28 12:24:48 - mmengine - INFO - Epoch(train) [65][2000/3757] lr: 1.000e-03 eta: 9:49:28 time: 0.265 data_time: 0.007 memory: 5148 grad_norm: 8.0273 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1572 loss: 1.1572 2022/06/28 12:24:53 - mmengine - INFO - Epoch(train) [65][2020/3757] lr: 1.000e-03 eta: 9:49:22 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 6.6240 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1408 loss: 1.1408 2022/06/28 12:24:59 - mmengine - INFO - Epoch(train) [65][2040/3757] lr: 1.000e-03 eta: 9:49:17 time: 0.247 data_time: 0.008 memory: 5148 grad_norm: 9.3757 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5662 loss: 1.5662 2022/06/28 12:25:04 - mmengine - INFO - Epoch(train) [65][2060/3757] lr: 1.000e-03 eta: 9:49:12 time: 0.425 data_time: 0.009 memory: 5148 grad_norm: 8.2664 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2978 loss: 1.2978 2022/06/28 12:25:09 - mmengine - INFO - Epoch(train) [65][2080/3757] lr: 1.000e-03 eta: 9:49:07 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 8.8171 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3144 loss: 1.3144 2022/06/28 12:25:14 - mmengine - INFO - Epoch(train) [65][2100/3757] lr: 1.000e-03 eta: 9:49:01 time: 0.207 data_time: 0.011 memory: 5148 grad_norm: 6.6416 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2826 loss: 1.2826 2022/06/28 12:25:20 - mmengine - INFO - Epoch(train) [65][2120/3757] lr: 1.000e-03 eta: 9:48:56 time: 0.584 data_time: 0.007 memory: 5148 grad_norm: 8.0590 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1240 loss: 1.1240 2022/06/28 12:25:25 - mmengine - INFO - Epoch(train) [65][2140/3757] lr: 1.000e-03 eta: 9:48:50 time: 0.199 data_time: 0.012 memory: 5148 grad_norm: 7.2692 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0737 loss: 1.0737 2022/06/28 12:25:30 - mmengine - INFO - Epoch(train) [65][2160/3757] lr: 1.000e-03 eta: 9:48:45 time: 0.208 data_time: 0.011 memory: 5148 grad_norm: 6.8547 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1645 loss: 1.1645 2022/06/28 12:25:36 - mmengine - INFO - Epoch(train) [65][2180/3757] lr: 1.000e-03 eta: 9:48:40 time: 0.411 data_time: 0.007 memory: 5148 grad_norm: 7.7436 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1678 loss: 1.1678 2022/06/28 12:25:41 - mmengine - INFO - Epoch(train) [65][2200/3757] lr: 1.000e-03 eta: 9:48:35 time: 0.194 data_time: 0.011 memory: 5148 grad_norm: 7.7867 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 0.9940 loss: 0.9940 2022/06/28 12:25:47 - mmengine - INFO - Epoch(train) [65][2220/3757] lr: 1.000e-03 eta: 9:48:29 time: 0.206 data_time: 0.014 memory: 5148 grad_norm: 8.7476 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4279 loss: 1.4279 2022/06/28 12:25:51 - mmengine - INFO - Epoch(train) [65][2240/3757] lr: 1.000e-03 eta: 9:48:24 time: 0.213 data_time: 0.006 memory: 5148 grad_norm: 6.7883 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1344 loss: 1.1344 2022/06/28 12:25:57 - mmengine - INFO - Epoch(train) [65][2260/3757] lr: 1.000e-03 eta: 9:48:19 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.6820 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3293 loss: 1.3293 2022/06/28 12:26:03 - mmengine - INFO - Epoch(train) [65][2280/3757] lr: 1.000e-03 eta: 9:48:14 time: 0.203 data_time: 0.009 memory: 5148 grad_norm: 7.2348 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6209 loss: 1.6209 2022/06/28 12:26:08 - mmengine - INFO - Epoch(train) [65][2300/3757] lr: 1.000e-03 eta: 9:48:08 time: 0.442 data_time: 0.006 memory: 5148 grad_norm: 7.2877 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4854 loss: 1.4854 2022/06/28 12:26:13 - mmengine - INFO - Epoch(train) [65][2320/3757] lr: 1.000e-03 eta: 9:48:03 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 7.4165 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4350 loss: 1.4350 2022/06/28 12:26:19 - mmengine - INFO - Epoch(train) [65][2340/3757] lr: 1.000e-03 eta: 9:47:58 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 8.0768 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.2008 loss: 1.2008 2022/06/28 12:26:24 - mmengine - INFO - Epoch(train) [65][2360/3757] lr: 1.000e-03 eta: 9:47:52 time: 0.532 data_time: 0.007 memory: 5148 grad_norm: 7.9788 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0961 loss: 1.0961 2022/06/28 12:26:29 - mmengine - INFO - Epoch(train) [65][2380/3757] lr: 1.000e-03 eta: 9:47:47 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 7.0908 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2203 loss: 1.2203 2022/06/28 12:26:34 - mmengine - INFO - Epoch(train) [65][2400/3757] lr: 1.000e-03 eta: 9:47:42 time: 0.190 data_time: 0.010 memory: 5148 grad_norm: 7.9655 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0563 loss: 1.0563 2022/06/28 12:26:40 - mmengine - INFO - Epoch(train) [65][2420/3757] lr: 1.000e-03 eta: 9:47:36 time: 0.606 data_time: 0.006 memory: 5148 grad_norm: 7.8880 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0517 loss: 1.0517 2022/06/28 12:26:45 - mmengine - INFO - Epoch(train) [65][2440/3757] lr: 1.000e-03 eta: 9:47:31 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 8.2017 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6063 loss: 1.6063 2022/06/28 12:26:51 - mmengine - INFO - Epoch(train) [65][2460/3757] lr: 1.000e-03 eta: 9:47:26 time: 0.332 data_time: 0.007 memory: 5148 grad_norm: 6.7394 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3069 loss: 1.3069 2022/06/28 12:26:56 - mmengine - INFO - Epoch(train) [65][2480/3757] lr: 1.000e-03 eta: 9:47:20 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 8.8658 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1976 loss: 1.1976 2022/06/28 12:27:01 - mmengine - INFO - Epoch(train) [65][2500/3757] lr: 1.000e-03 eta: 9:47:15 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 7.5412 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3304 loss: 1.3304 2022/06/28 12:27:06 - mmengine - INFO - Epoch(train) [65][2520/3757] lr: 1.000e-03 eta: 9:47:10 time: 0.203 data_time: 0.019 memory: 5148 grad_norm: 7.8739 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1127 loss: 1.1127 2022/06/28 12:27:12 - mmengine - INFO - Epoch(train) [65][2540/3757] lr: 1.000e-03 eta: 9:47:04 time: 0.276 data_time: 0.006 memory: 5148 grad_norm: 8.6444 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5825 loss: 1.5825 2022/06/28 12:27:15 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 12:27:17 - mmengine - INFO - Epoch(train) [65][2560/3757] lr: 1.000e-03 eta: 9:46:59 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 8.3932 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3189 loss: 1.3189 2022/06/28 12:27:22 - mmengine - INFO - Epoch(train) [65][2580/3757] lr: 1.000e-03 eta: 9:46:54 time: 0.196 data_time: 0.018 memory: 5148 grad_norm: 7.5818 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3512 loss: 1.3512 2022/06/28 12:27:28 - mmengine - INFO - Epoch(train) [65][2600/3757] lr: 1.000e-03 eta: 9:46:49 time: 1.040 data_time: 0.010 memory: 5148 grad_norm: 7.4877 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5203 loss: 1.5203 2022/06/28 12:27:33 - mmengine - INFO - Epoch(train) [65][2620/3757] lr: 1.000e-03 eta: 9:46:43 time: 0.226 data_time: 0.010 memory: 5148 grad_norm: 7.4602 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9943 loss: 1.9943 2022/06/28 12:27:38 - mmengine - INFO - Epoch(train) [65][2640/3757] lr: 1.000e-03 eta: 9:46:38 time: 0.216 data_time: 0.015 memory: 5148 grad_norm: 8.8408 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4520 loss: 1.4520 2022/06/28 12:27:44 - mmengine - INFO - Epoch(train) [65][2660/3757] lr: 1.000e-03 eta: 9:46:33 time: 1.132 data_time: 0.006 memory: 5148 grad_norm: 8.2686 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3329 loss: 1.3329 2022/06/28 12:27:48 - mmengine - INFO - Epoch(train) [65][2680/3757] lr: 1.000e-03 eta: 9:46:27 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 9.2827 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1468 loss: 1.1468 2022/06/28 12:27:54 - mmengine - INFO - Epoch(train) [65][2700/3757] lr: 1.000e-03 eta: 9:46:22 time: 0.214 data_time: 0.030 memory: 5148 grad_norm: 7.2869 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6834 loss: 1.6834 2022/06/28 12:28:00 - mmengine - INFO - Epoch(train) [65][2720/3757] lr: 1.000e-03 eta: 9:46:17 time: 0.812 data_time: 0.007 memory: 5148 grad_norm: 9.0677 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4522 loss: 1.4522 2022/06/28 12:28:04 - mmengine - INFO - Epoch(train) [65][2740/3757] lr: 1.000e-03 eta: 9:46:11 time: 0.230 data_time: 0.008 memory: 5148 grad_norm: 8.6026 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3809 loss: 1.3809 2022/06/28 12:28:10 - mmengine - INFO - Epoch(train) [65][2760/3757] lr: 1.000e-03 eta: 9:46:06 time: 0.207 data_time: 0.026 memory: 5148 grad_norm: 7.7523 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6374 loss: 1.6374 2022/06/28 12:28:15 - mmengine - INFO - Epoch(train) [65][2780/3757] lr: 1.000e-03 eta: 9:46:01 time: 0.717 data_time: 0.006 memory: 5148 grad_norm: 7.5085 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5995 loss: 1.5995 2022/06/28 12:28:20 - mmengine - INFO - Epoch(train) [65][2800/3757] lr: 1.000e-03 eta: 9:45:55 time: 0.644 data_time: 0.013 memory: 5148 grad_norm: 9.1818 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3336 loss: 1.3336 2022/06/28 12:28:25 - mmengine - INFO - Epoch(train) [65][2820/3757] lr: 1.000e-03 eta: 9:45:50 time: 0.205 data_time: 0.025 memory: 5148 grad_norm: 7.0904 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4638 loss: 1.4638 2022/06/28 12:28:31 - mmengine - INFO - Epoch(train) [65][2840/3757] lr: 1.000e-03 eta: 9:45:44 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 8.3894 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3624 loss: 1.3624 2022/06/28 12:28:36 - mmengine - INFO - Epoch(train) [65][2860/3757] lr: 1.000e-03 eta: 9:45:39 time: 0.335 data_time: 0.007 memory: 5148 grad_norm: 9.0002 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4764 loss: 1.4764 2022/06/28 12:28:41 - mmengine - INFO - Epoch(train) [65][2880/3757] lr: 1.000e-03 eta: 9:45:34 time: 0.241 data_time: 0.025 memory: 5148 grad_norm: 7.4607 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9383 loss: 0.9383 2022/06/28 12:28:47 - mmengine - INFO - Epoch(train) [65][2900/3757] lr: 1.000e-03 eta: 9:45:28 time: 0.826 data_time: 0.010 memory: 5148 grad_norm: 9.3056 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1476 loss: 1.1476 2022/06/28 12:28:52 - mmengine - INFO - Epoch(train) [65][2920/3757] lr: 1.000e-03 eta: 9:45:23 time: 0.229 data_time: 0.007 memory: 5148 grad_norm: 9.1358 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 1.6367 loss: 1.6367 2022/06/28 12:28:57 - mmengine - INFO - Epoch(train) [65][2940/3757] lr: 1.000e-03 eta: 9:45:18 time: 0.210 data_time: 0.023 memory: 5148 grad_norm: 6.8885 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6377 loss: 1.6377 2022/06/28 12:29:03 - mmengine - INFO - Epoch(train) [65][2960/3757] lr: 1.000e-03 eta: 9:45:13 time: 0.220 data_time: 0.007 memory: 5148 grad_norm: 8.7980 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8372 loss: 1.8372 2022/06/28 12:29:08 - mmengine - INFO - Epoch(train) [65][2980/3757] lr: 1.000e-03 eta: 9:45:07 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 7.4925 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1524 loss: 1.1524 2022/06/28 12:29:13 - mmengine - INFO - Epoch(train) [65][3000/3757] lr: 1.000e-03 eta: 9:45:02 time: 0.206 data_time: 0.023 memory: 5148 grad_norm: 7.9780 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1433 loss: 1.1433 2022/06/28 12:29:19 - mmengine - INFO - Epoch(train) [65][3020/3757] lr: 1.000e-03 eta: 9:44:57 time: 0.581 data_time: 0.011 memory: 5148 grad_norm: 8.0245 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5693 loss: 1.5693 2022/06/28 12:29:24 - mmengine - INFO - Epoch(train) [65][3040/3757] lr: 1.000e-03 eta: 9:44:51 time: 0.340 data_time: 0.007 memory: 5148 grad_norm: 8.0526 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9397 loss: 0.9397 2022/06/28 12:29:29 - mmengine - INFO - Epoch(train) [65][3060/3757] lr: 1.000e-03 eta: 9:44:46 time: 0.198 data_time: 0.014 memory: 5148 grad_norm: 5.9802 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2099 loss: 1.2099 2022/06/28 12:29:34 - mmengine - INFO - Epoch(train) [65][3080/3757] lr: 1.000e-03 eta: 9:44:40 time: 0.304 data_time: 0.007 memory: 5148 grad_norm: 7.7868 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5155 loss: 1.5155 2022/06/28 12:29:39 - mmengine - INFO - Epoch(train) [65][3100/3757] lr: 1.000e-03 eta: 9:44:35 time: 0.218 data_time: 0.006 memory: 5148 grad_norm: 8.3098 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1720 loss: 1.1720 2022/06/28 12:29:45 - mmengine - INFO - Epoch(train) [65][3120/3757] lr: 1.000e-03 eta: 9:44:30 time: 0.206 data_time: 0.018 memory: 5148 grad_norm: 8.7734 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1549 loss: 1.1549 2022/06/28 12:29:51 - mmengine - INFO - Epoch(train) [65][3140/3757] lr: 1.000e-03 eta: 9:44:25 time: 0.920 data_time: 0.007 memory: 5148 grad_norm: 8.1596 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0535 loss: 1.0535 2022/06/28 12:29:56 - mmengine - INFO - Epoch(train) [65][3160/3757] lr: 1.000e-03 eta: 9:44:19 time: 0.464 data_time: 0.008 memory: 5148 grad_norm: 8.1155 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3802 loss: 1.3802 2022/06/28 12:30:01 - mmengine - INFO - Epoch(train) [65][3180/3757] lr: 1.000e-03 eta: 9:44:14 time: 0.207 data_time: 0.009 memory: 5148 grad_norm: 6.7372 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2913 loss: 1.2913 2022/06/28 12:30:06 - mmengine - INFO - Epoch(train) [65][3200/3757] lr: 1.000e-03 eta: 9:44:09 time: 0.201 data_time: 0.016 memory: 5148 grad_norm: 8.0703 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5790 loss: 1.5790 2022/06/28 12:30:12 - mmengine - INFO - Epoch(train) [65][3220/3757] lr: 1.000e-03 eta: 9:44:04 time: 1.127 data_time: 0.009 memory: 5148 grad_norm: 7.8045 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4086 loss: 1.4086 2022/06/28 12:30:17 - mmengine - INFO - Epoch(train) [65][3240/3757] lr: 1.000e-03 eta: 9:43:58 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 8.1628 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3629 loss: 1.3629 2022/06/28 12:30:22 - mmengine - INFO - Epoch(train) [65][3260/3757] lr: 1.000e-03 eta: 9:43:53 time: 0.212 data_time: 0.012 memory: 5148 grad_norm: 7.5319 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3063 loss: 1.3063 2022/06/28 12:30:28 - mmengine - INFO - Epoch(train) [65][3280/3757] lr: 1.000e-03 eta: 9:43:48 time: 0.219 data_time: 0.008 memory: 5148 grad_norm: 7.3998 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6099 loss: 1.6099 2022/06/28 12:30:33 - mmengine - INFO - Epoch(train) [65][3300/3757] lr: 1.000e-03 eta: 9:43:42 time: 0.214 data_time: 0.012 memory: 5148 grad_norm: 7.9126 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1722 loss: 1.1722 2022/06/28 12:30:39 - mmengine - INFO - Epoch(train) [65][3320/3757] lr: 1.000e-03 eta: 9:43:37 time: 0.651 data_time: 0.026 memory: 5148 grad_norm: 6.6109 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4927 loss: 1.4927 2022/06/28 12:30:44 - mmengine - INFO - Epoch(train) [65][3340/3757] lr: 1.000e-03 eta: 9:43:32 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 8.7360 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2412 loss: 1.2412 2022/06/28 12:30:49 - mmengine - INFO - Epoch(train) [65][3360/3757] lr: 1.000e-03 eta: 9:43:27 time: 0.215 data_time: 0.014 memory: 5148 grad_norm: 8.2012 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5104 loss: 1.5104 2022/06/28 12:30:55 - mmengine - INFO - Epoch(train) [65][3380/3757] lr: 1.000e-03 eta: 9:43:21 time: 0.675 data_time: 0.027 memory: 5148 grad_norm: 7.4755 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9780 loss: 0.9780 2022/06/28 12:31:00 - mmengine - INFO - Epoch(train) [65][3400/3757] lr: 1.000e-03 eta: 9:43:16 time: 0.210 data_time: 0.011 memory: 5148 grad_norm: 7.5949 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5843 loss: 1.5843 2022/06/28 12:31:06 - mmengine - INFO - Epoch(train) [65][3420/3757] lr: 1.000e-03 eta: 9:43:11 time: 0.207 data_time: 0.015 memory: 5148 grad_norm: 7.5143 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2975 loss: 1.2975 2022/06/28 12:31:11 - mmengine - INFO - Epoch(train) [65][3440/3757] lr: 1.000e-03 eta: 9:43:05 time: 0.856 data_time: 0.016 memory: 5148 grad_norm: 7.1036 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8124 loss: 1.8124 2022/06/28 12:31:16 - mmengine - INFO - Epoch(train) [65][3460/3757] lr: 1.000e-03 eta: 9:43:00 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 7.6157 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3349 loss: 1.3349 2022/06/28 12:31:21 - mmengine - INFO - Epoch(train) [65][3480/3757] lr: 1.000e-03 eta: 9:42:55 time: 0.225 data_time: 0.010 memory: 5148 grad_norm: 6.2967 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3648 loss: 1.3648 2022/06/28 12:31:27 - mmengine - INFO - Epoch(train) [65][3500/3757] lr: 1.000e-03 eta: 9:42:49 time: 0.577 data_time: 0.010 memory: 5148 grad_norm: 6.6394 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3816 loss: 1.3816 2022/06/28 12:31:32 - mmengine - INFO - Epoch(train) [65][3520/3757] lr: 1.000e-03 eta: 9:42:44 time: 0.234 data_time: 0.008 memory: 5148 grad_norm: 8.7067 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3917 loss: 1.3917 2022/06/28 12:31:37 - mmengine - INFO - Epoch(train) [65][3540/3757] lr: 1.000e-03 eta: 9:42:39 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 6.9875 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2729 loss: 1.2729 2022/06/28 12:31:41 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 12:31:43 - mmengine - INFO - Epoch(train) [65][3560/3757] lr: 1.000e-03 eta: 9:42:34 time: 0.235 data_time: 0.007 memory: 5148 grad_norm: 7.1246 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2923 loss: 1.2923 2022/06/28 12:31:48 - mmengine - INFO - Epoch(train) [65][3580/3757] lr: 1.000e-03 eta: 9:42:28 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 7.3890 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4611 loss: 1.4611 2022/06/28 12:31:53 - mmengine - INFO - Epoch(train) [65][3600/3757] lr: 1.000e-03 eta: 9:42:23 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 7.5410 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4604 loss: 1.4604 2022/06/28 12:31:59 - mmengine - INFO - Epoch(train) [65][3620/3757] lr: 1.000e-03 eta: 9:42:18 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 9.0229 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4055 loss: 1.4055 2022/06/28 12:32:04 - mmengine - INFO - Epoch(train) [65][3640/3757] lr: 1.000e-03 eta: 9:42:12 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 7.6739 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4681 loss: 1.4681 2022/06/28 12:32:09 - mmengine - INFO - Epoch(train) [65][3660/3757] lr: 1.000e-03 eta: 9:42:07 time: 0.200 data_time: 0.012 memory: 5148 grad_norm: 9.4402 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9308 loss: 0.9308 2022/06/28 12:32:15 - mmengine - INFO - Epoch(train) [65][3680/3757] lr: 1.000e-03 eta: 9:42:02 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 7.4277 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2255 loss: 1.2255 2022/06/28 12:32:20 - mmengine - INFO - Epoch(train) [65][3700/3757] lr: 1.000e-03 eta: 9:41:57 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 7.5681 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4270 loss: 1.4270 2022/06/28 12:32:25 - mmengine - INFO - Epoch(train) [65][3720/3757] lr: 1.000e-03 eta: 9:41:51 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 7.4406 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0663 loss: 1.0663 2022/06/28 12:32:31 - mmengine - INFO - Epoch(train) [65][3740/3757] lr: 1.000e-03 eta: 9:41:46 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 8.0105 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1234 loss: 1.1234 2022/06/28 12:32:34 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 12:32:34 - mmengine - INFO - Saving checkpoint at 65 epochs 2022/06/28 12:32:43 - mmengine - INFO - Epoch(val) [65][20/310] eta: 0:01:14 time: 0.280 data_time: 0.207 memory: 5148 2022/06/28 12:32:47 - mmengine - INFO - Epoch(val) [65][40/310] eta: 0:01:00 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 12:32:53 - mmengine - INFO - Epoch(val) [65][60/310] eta: 0:01:00 time: 0.289 data_time: 0.210 memory: 1367 2022/06/28 12:32:58 - mmengine - INFO - Epoch(val) [65][80/310] eta: 0:00:55 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 12:33:04 - mmengine - INFO - Epoch(val) [65][100/310] eta: 0:00:49 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 12:33:09 - mmengine - INFO - Epoch(val) [65][120/310] eta: 0:00:43 time: 0.079 data_time: 0.009 memory: 1367 2022/06/28 12:33:15 - mmengine - INFO - Epoch(val) [65][140/310] eta: 0:00:52 time: 0.811 data_time: 0.731 memory: 1367 2022/06/28 12:33:20 - mmengine - INFO - Epoch(val) [65][160/310] eta: 0:00:30 time: 0.083 data_time: 0.009 memory: 1367 2022/06/28 12:33:26 - mmengine - INFO - Epoch(val) [65][180/310] eta: 0:00:39 time: 0.725 data_time: 0.654 memory: 1367 2022/06/28 12:33:30 - mmengine - INFO - Epoch(val) [65][200/310] eta: 0:00:26 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 12:33:36 - mmengine - INFO - Epoch(val) [65][220/310] eta: 0:00:29 time: 0.080 data_time: 0.007 memory: 1367 2022/06/28 12:33:41 - mmengine - INFO - Epoch(val) [65][240/310] eta: 0:00:15 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 12:33:47 - mmengine - INFO - Epoch(val) [65][260/310] eta: 0:00:18 time: 0.086 data_time: 0.009 memory: 1367 2022/06/28 12:33:52 - mmengine - INFO - Epoch(val) [65][280/310] eta: 0:00:07 time: 0.076 data_time: 0.004 memory: 1367 2022/06/28 12:33:57 - mmengine - INFO - Epoch(val) [65][300/310] eta: 0:00:02 time: 0.096 data_time: 0.025 memory: 1367 2022/06/28 12:33:59 - mmengine - INFO - Epoch(val) [65][310/310] acc/top1: 0.6485 acc/top5: 0.8573 acc/mean1: 0.6483 2022/06/28 12:34:07 - mmengine - INFO - Epoch(train) [66][20/3757] lr: 1.000e-03 eta: 9:41:36 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 7.9593 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6169 loss: 1.6169 2022/06/28 12:34:13 - mmengine - INFO - Epoch(train) [66][40/3757] lr: 1.000e-03 eta: 9:41:31 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 7.3576 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2335 loss: 1.2335 2022/06/28 12:34:18 - mmengine - INFO - Epoch(train) [66][60/3757] lr: 1.000e-03 eta: 9:41:26 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 9.2400 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4920 loss: 1.4920 2022/06/28 12:34:24 - mmengine - INFO - Epoch(train) [66][80/3757] lr: 1.000e-03 eta: 9:41:21 time: 0.192 data_time: 0.008 memory: 5148 grad_norm: 7.1451 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4869 loss: 1.4869 2022/06/28 12:34:29 - mmengine - INFO - Epoch(train) [66][100/3757] lr: 1.000e-03 eta: 9:41:15 time: 0.213 data_time: 0.009 memory: 5148 grad_norm: 8.6503 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1934 loss: 1.1934 2022/06/28 12:34:34 - mmengine - INFO - Epoch(train) [66][120/3757] lr: 1.000e-03 eta: 9:41:10 time: 0.196 data_time: 0.009 memory: 5148 grad_norm: 6.7730 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1597 loss: 1.1597 2022/06/28 12:34:40 - mmengine - INFO - Epoch(train) [66][140/3757] lr: 1.000e-03 eta: 9:41:05 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 8.6373 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6374 loss: 1.6374 2022/06/28 12:34:46 - mmengine - INFO - Epoch(train) [66][160/3757] lr: 1.000e-03 eta: 9:41:00 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 9.4448 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3978 loss: 1.3978 2022/06/28 12:34:51 - mmengine - INFO - Epoch(train) [66][180/3757] lr: 1.000e-03 eta: 9:40:54 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 7.2118 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4393 loss: 1.4393 2022/06/28 12:34:56 - mmengine - INFO - Epoch(train) [66][200/3757] lr: 1.000e-03 eta: 9:40:49 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 9.0382 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3961 loss: 1.3961 2022/06/28 12:35:02 - mmengine - INFO - Epoch(train) [66][220/3757] lr: 1.000e-03 eta: 9:40:44 time: 0.225 data_time: 0.008 memory: 5148 grad_norm: 7.3010 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.7123 loss: 1.7123 2022/06/28 12:35:07 - mmengine - INFO - Epoch(train) [66][240/3757] lr: 1.000e-03 eta: 9:40:38 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 7.2953 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2502 loss: 1.2502 2022/06/28 12:35:12 - mmengine - INFO - Epoch(train) [66][260/3757] lr: 1.000e-03 eta: 9:40:33 time: 0.194 data_time: 0.006 memory: 5148 grad_norm: 6.3647 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5731 loss: 1.5731 2022/06/28 12:35:18 - mmengine - INFO - Epoch(train) [66][280/3757] lr: 1.000e-03 eta: 9:40:28 time: 0.221 data_time: 0.008 memory: 5148 grad_norm: 7.9598 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4204 loss: 1.4204 2022/06/28 12:35:23 - mmengine - INFO - Epoch(train) [66][300/3757] lr: 1.000e-03 eta: 9:40:22 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.9791 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8955 loss: 0.8955 2022/06/28 12:35:28 - mmengine - INFO - Epoch(train) [66][320/3757] lr: 1.000e-03 eta: 9:40:17 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 9.0436 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1567 loss: 1.1567 2022/06/28 12:35:34 - mmengine - INFO - Epoch(train) [66][340/3757] lr: 1.000e-03 eta: 9:40:12 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 8.8665 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2749 loss: 1.2749 2022/06/28 12:35:39 - mmengine - INFO - Epoch(train) [66][360/3757] lr: 1.000e-03 eta: 9:40:06 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 7.1205 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1988 loss: 1.1988 2022/06/28 12:35:44 - mmengine - INFO - Epoch(train) [66][380/3757] lr: 1.000e-03 eta: 9:40:01 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 8.7625 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0872 loss: 1.0872 2022/06/28 12:35:50 - mmengine - INFO - Epoch(train) [66][400/3757] lr: 1.000e-03 eta: 9:39:56 time: 0.212 data_time: 0.008 memory: 5148 grad_norm: 8.8183 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2031 loss: 1.2031 2022/06/28 12:35:55 - mmengine - INFO - Epoch(train) [66][420/3757] lr: 1.000e-03 eta: 9:39:51 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 8.5323 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4519 loss: 1.4519 2022/06/28 12:36:01 - mmengine - INFO - Epoch(train) [66][440/3757] lr: 1.000e-03 eta: 9:39:46 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 7.1341 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2845 loss: 1.2845 2022/06/28 12:36:06 - mmengine - INFO - Epoch(train) [66][460/3757] lr: 1.000e-03 eta: 9:39:40 time: 0.213 data_time: 0.008 memory: 5148 grad_norm: 9.8935 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0027 loss: 1.0027 2022/06/28 12:36:11 - mmengine - INFO - Epoch(train) [66][480/3757] lr: 1.000e-03 eta: 9:39:35 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 8.6618 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3354 loss: 1.3354 2022/06/28 12:36:16 - mmengine - INFO - Epoch(train) [66][500/3757] lr: 1.000e-03 eta: 9:39:29 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 8.2023 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3391 loss: 1.3391 2022/06/28 12:36:21 - mmengine - INFO - Epoch(train) [66][520/3757] lr: 1.000e-03 eta: 9:39:24 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 7.2261 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1569 loss: 1.1569 2022/06/28 12:36:26 - mmengine - INFO - Epoch(train) [66][540/3757] lr: 1.000e-03 eta: 9:39:18 time: 0.212 data_time: 0.008 memory: 5148 grad_norm: 5.8565 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2877 loss: 1.2877 2022/06/28 12:36:32 - mmengine - INFO - Epoch(train) [66][560/3757] lr: 1.000e-03 eta: 9:39:13 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 8.5257 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5207 loss: 1.5207 2022/06/28 12:36:37 - mmengine - INFO - Epoch(train) [66][580/3757] lr: 1.000e-03 eta: 9:39:08 time: 0.208 data_time: 0.012 memory: 5148 grad_norm: 9.0288 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4816 loss: 1.4816 2022/06/28 12:36:42 - mmengine - INFO - Epoch(train) [66][600/3757] lr: 1.000e-03 eta: 9:39:03 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 8.2257 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5374 loss: 1.5374 2022/06/28 12:36:47 - mmengine - INFO - Epoch(train) [66][620/3757] lr: 1.000e-03 eta: 9:38:57 time: 0.216 data_time: 0.013 memory: 5148 grad_norm: 7.5230 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1757 loss: 1.1757 2022/06/28 12:36:53 - mmengine - INFO - Epoch(train) [66][640/3757] lr: 1.000e-03 eta: 9:38:52 time: 0.215 data_time: 0.021 memory: 5148 grad_norm: 7.5230 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1283 loss: 1.1283 2022/06/28 12:36:58 - mmengine - INFO - Epoch(train) [66][660/3757] lr: 1.000e-03 eta: 9:38:47 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 7.6360 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0602 loss: 1.0602 2022/06/28 12:37:04 - mmengine - INFO - Epoch(train) [66][680/3757] lr: 1.000e-03 eta: 9:38:41 time: 0.205 data_time: 0.018 memory: 5148 grad_norm: 7.0217 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4159 loss: 1.4159 2022/06/28 12:37:09 - mmengine - INFO - Epoch(train) [66][700/3757] lr: 1.000e-03 eta: 9:38:36 time: 0.208 data_time: 0.016 memory: 5148 grad_norm: 8.2479 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6798 loss: 1.6798 2022/06/28 12:37:14 - mmengine - INFO - Epoch(train) [66][720/3757] lr: 1.000e-03 eta: 9:38:31 time: 0.215 data_time: 0.008 memory: 5148 grad_norm: 7.4628 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5731 loss: 1.5731 2022/06/28 12:37:20 - mmengine - INFO - Epoch(train) [66][740/3757] lr: 1.000e-03 eta: 9:38:25 time: 0.215 data_time: 0.012 memory: 5148 grad_norm: 9.3019 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5101 loss: 1.5101 2022/06/28 12:37:25 - mmengine - INFO - Epoch(train) [66][760/3757] lr: 1.000e-03 eta: 9:38:20 time: 0.200 data_time: 0.017 memory: 5148 grad_norm: 7.0699 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1308 loss: 1.1308 2022/06/28 12:37:30 - mmengine - INFO - Epoch(train) [66][780/3757] lr: 1.000e-03 eta: 9:38:15 time: 0.209 data_time: 0.012 memory: 5148 grad_norm: 8.3370 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3848 loss: 1.3848 2022/06/28 12:37:35 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 12:37:36 - mmengine - INFO - Epoch(train) [66][800/3757] lr: 1.000e-03 eta: 9:38:10 time: 0.201 data_time: 0.020 memory: 5148 grad_norm: 6.5473 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1402 loss: 1.1402 2022/06/28 12:37:41 - mmengine - INFO - Epoch(train) [66][820/3757] lr: 1.000e-03 eta: 9:38:04 time: 0.202 data_time: 0.016 memory: 5148 grad_norm: 8.6490 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6225 loss: 1.6225 2022/06/28 12:37:46 - mmengine - INFO - Epoch(train) [66][840/3757] lr: 1.000e-03 eta: 9:37:59 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 7.6433 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2646 loss: 1.2646 2022/06/28 12:37:52 - mmengine - INFO - Epoch(train) [66][860/3757] lr: 1.000e-03 eta: 9:37:54 time: 0.261 data_time: 0.029 memory: 5148 grad_norm: 8.8546 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2898 loss: 1.2898 2022/06/28 12:37:57 - mmengine - INFO - Epoch(train) [66][880/3757] lr: 1.000e-03 eta: 9:37:48 time: 0.199 data_time: 0.014 memory: 5148 grad_norm: 8.4997 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3266 loss: 1.3266 2022/06/28 12:38:02 - mmengine - INFO - Epoch(train) [66][900/3757] lr: 1.000e-03 eta: 9:37:43 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 6.3033 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4657 loss: 1.4657 2022/06/28 12:38:08 - mmengine - INFO - Epoch(train) [66][920/3757] lr: 1.000e-03 eta: 9:37:38 time: 0.209 data_time: 0.031 memory: 5148 grad_norm: 7.5140 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2401 loss: 1.2401 2022/06/28 12:38:13 - mmengine - INFO - Epoch(train) [66][940/3757] lr: 1.000e-03 eta: 9:37:33 time: 0.194 data_time: 0.016 memory: 5148 grad_norm: 8.0026 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3636 loss: 1.3636 2022/06/28 12:38:19 - mmengine - INFO - Epoch(train) [66][960/3757] lr: 1.000e-03 eta: 9:37:27 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 7.6067 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3005 loss: 1.3005 2022/06/28 12:38:24 - mmengine - INFO - Epoch(train) [66][980/3757] lr: 1.000e-03 eta: 9:37:22 time: 0.221 data_time: 0.038 memory: 5148 grad_norm: 8.2485 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0878 loss: 1.0878 2022/06/28 12:38:29 - mmengine - INFO - Epoch(train) [66][1000/3757] lr: 1.000e-03 eta: 9:37:17 time: 0.205 data_time: 0.016 memory: 5148 grad_norm: 7.5177 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.5436 loss: 1.5436 2022/06/28 12:38:34 - mmengine - INFO - Epoch(train) [66][1020/3757] lr: 1.000e-03 eta: 9:37:11 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 8.5088 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4955 loss: 1.4955 2022/06/28 12:38:40 - mmengine - INFO - Epoch(train) [66][1040/3757] lr: 1.000e-03 eta: 9:37:06 time: 0.214 data_time: 0.038 memory: 5148 grad_norm: 8.3794 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2214 loss: 1.2214 2022/06/28 12:38:45 - mmengine - INFO - Epoch(train) [66][1060/3757] lr: 1.000e-03 eta: 9:37:01 time: 0.202 data_time: 0.016 memory: 5148 grad_norm: 7.4394 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5875 loss: 1.5875 2022/06/28 12:38:50 - mmengine - INFO - Epoch(train) [66][1080/3757] lr: 1.000e-03 eta: 9:36:55 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 8.8679 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4278 loss: 1.4278 2022/06/28 12:38:56 - mmengine - INFO - Epoch(train) [66][1100/3757] lr: 1.000e-03 eta: 9:36:50 time: 0.212 data_time: 0.030 memory: 5148 grad_norm: 9.5374 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2214 loss: 1.2214 2022/06/28 12:39:01 - mmengine - INFO - Epoch(train) [66][1120/3757] lr: 1.000e-03 eta: 9:36:45 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 7.5244 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2278 loss: 1.2278 2022/06/28 12:39:06 - mmengine - INFO - Epoch(train) [66][1140/3757] lr: 1.000e-03 eta: 9:36:39 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 7.8724 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2427 loss: 1.2427 2022/06/28 12:39:12 - mmengine - INFO - Epoch(train) [66][1160/3757] lr: 1.000e-03 eta: 9:36:34 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 7.9096 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4911 loss: 1.4911 2022/06/28 12:39:17 - mmengine - INFO - Epoch(train) [66][1180/3757] lr: 1.000e-03 eta: 9:36:29 time: 0.195 data_time: 0.019 memory: 5148 grad_norm: 7.5722 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5137 loss: 1.5137 2022/06/28 12:39:22 - mmengine - INFO - Epoch(train) [66][1200/3757] lr: 1.000e-03 eta: 9:36:23 time: 0.227 data_time: 0.010 memory: 5148 grad_norm: 8.0820 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3601 loss: 1.3601 2022/06/28 12:39:27 - mmengine - INFO - Epoch(train) [66][1220/3757] lr: 1.000e-03 eta: 9:36:18 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 7.8157 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4754 loss: 1.4754 2022/06/28 12:39:33 - mmengine - INFO - Epoch(train) [66][1240/3757] lr: 1.000e-03 eta: 9:36:13 time: 0.203 data_time: 0.014 memory: 5148 grad_norm: 7.3782 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3704 loss: 1.3704 2022/06/28 12:39:38 - mmengine - INFO - Epoch(train) [66][1260/3757] lr: 1.000e-03 eta: 9:36:07 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 9.1609 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3887 loss: 1.3887 2022/06/28 12:39:43 - mmengine - INFO - Epoch(train) [66][1280/3757] lr: 1.000e-03 eta: 9:36:02 time: 0.209 data_time: 0.012 memory: 5148 grad_norm: 8.0324 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3237 loss: 1.3237 2022/06/28 12:39:49 - mmengine - INFO - Epoch(train) [66][1300/3757] lr: 1.000e-03 eta: 9:35:57 time: 0.200 data_time: 0.013 memory: 5148 grad_norm: 8.9548 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2951 loss: 1.2951 2022/06/28 12:39:54 - mmengine - INFO - Epoch(train) [66][1320/3757] lr: 1.000e-03 eta: 9:35:51 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 6.3399 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2139 loss: 1.2139 2022/06/28 12:39:59 - mmengine - INFO - Epoch(train) [66][1340/3757] lr: 1.000e-03 eta: 9:35:46 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 7.2876 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3022 loss: 1.3022 2022/06/28 12:40:05 - mmengine - INFO - Epoch(train) [66][1360/3757] lr: 1.000e-03 eta: 9:35:41 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 8.7237 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5010 loss: 1.5010 2022/06/28 12:40:10 - mmengine - INFO - Epoch(train) [66][1380/3757] lr: 1.000e-03 eta: 9:35:35 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 8.6043 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3693 loss: 1.3693 2022/06/28 12:40:15 - mmengine - INFO - Epoch(train) [66][1400/3757] lr: 1.000e-03 eta: 9:35:30 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 7.1296 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1034 loss: 1.1034 2022/06/28 12:40:20 - mmengine - INFO - Epoch(train) [66][1420/3757] lr: 1.000e-03 eta: 9:35:25 time: 0.212 data_time: 0.015 memory: 5148 grad_norm: 7.8943 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3771 loss: 1.3771 2022/06/28 12:40:25 - mmengine - INFO - Epoch(train) [66][1440/3757] lr: 1.000e-03 eta: 9:35:19 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 7.8226 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6032 loss: 1.6032 2022/06/28 12:40:30 - mmengine - INFO - Epoch(train) [66][1460/3757] lr: 1.000e-03 eta: 9:35:14 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 8.1187 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0171 loss: 1.0171 2022/06/28 12:40:36 - mmengine - INFO - Epoch(train) [66][1480/3757] lr: 1.000e-03 eta: 9:35:09 time: 0.201 data_time: 0.014 memory: 5148 grad_norm: 7.4452 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9884 loss: 0.9884 2022/06/28 12:40:41 - mmengine - INFO - Epoch(train) [66][1500/3757] lr: 1.000e-03 eta: 9:35:03 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 6.3730 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4792 loss: 1.4792 2022/06/28 12:40:46 - mmengine - INFO - Epoch(train) [66][1520/3757] lr: 1.000e-03 eta: 9:34:58 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 8.6131 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3637 loss: 1.3637 2022/06/28 12:40:52 - mmengine - INFO - Epoch(train) [66][1540/3757] lr: 1.000e-03 eta: 9:34:53 time: 0.203 data_time: 0.015 memory: 5148 grad_norm: 6.7715 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2551 loss: 1.2551 2022/06/28 12:40:57 - mmengine - INFO - Epoch(train) [66][1560/3757] lr: 1.000e-03 eta: 9:34:47 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 7.3991 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4417 loss: 1.4417 2022/06/28 12:41:02 - mmengine - INFO - Epoch(train) [66][1580/3757] lr: 1.000e-03 eta: 9:34:42 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 8.0850 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0380 loss: 1.0380 2022/06/28 12:41:07 - mmengine - INFO - Epoch(train) [66][1600/3757] lr: 1.000e-03 eta: 9:34:36 time: 0.207 data_time: 0.020 memory: 5148 grad_norm: 8.8661 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5333 loss: 1.5333 2022/06/28 12:41:13 - mmengine - INFO - Epoch(train) [66][1620/3757] lr: 1.000e-03 eta: 9:34:31 time: 0.206 data_time: 0.009 memory: 5148 grad_norm: 7.3322 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4847 loss: 1.4847 2022/06/28 12:41:18 - mmengine - INFO - Epoch(train) [66][1640/3757] lr: 1.000e-03 eta: 9:34:26 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 7.8480 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5987 loss: 1.5987 2022/06/28 12:41:23 - mmengine - INFO - Epoch(train) [66][1660/3757] lr: 1.000e-03 eta: 9:34:21 time: 0.210 data_time: 0.024 memory: 5148 grad_norm: 8.4278 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4928 loss: 1.4928 2022/06/28 12:41:28 - mmengine - INFO - Epoch(train) [66][1680/3757] lr: 1.000e-03 eta: 9:34:15 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 8.6522 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3592 loss: 1.3592 2022/06/28 12:41:34 - mmengine - INFO - Epoch(train) [66][1700/3757] lr: 1.000e-03 eta: 9:34:10 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 7.8850 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5249 loss: 1.5249 2022/06/28 12:41:39 - mmengine - INFO - Epoch(train) [66][1720/3757] lr: 1.000e-03 eta: 9:34:05 time: 0.197 data_time: 0.019 memory: 5148 grad_norm: 8.2685 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1711 loss: 1.1711 2022/06/28 12:41:45 - mmengine - INFO - Epoch(train) [66][1740/3757] lr: 1.000e-03 eta: 9:33:59 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 8.1143 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.6896 loss: 1.6896 2022/06/28 12:41:50 - mmengine - INFO - Epoch(train) [66][1760/3757] lr: 1.000e-03 eta: 9:33:54 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 8.8531 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1899 loss: 1.1899 2022/06/28 12:41:55 - mmengine - INFO - Epoch(train) [66][1780/3757] lr: 1.000e-03 eta: 9:33:49 time: 0.218 data_time: 0.019 memory: 5148 grad_norm: 7.5520 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3973 loss: 1.3973 2022/06/28 12:41:59 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 12:42:01 - mmengine - INFO - Epoch(train) [66][1800/3757] lr: 1.000e-03 eta: 9:33:44 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 8.4117 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3967 loss: 1.3967 2022/06/28 12:42:06 - mmengine - INFO - Epoch(train) [66][1820/3757] lr: 1.000e-03 eta: 9:33:38 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 9.8544 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3693 loss: 1.3693 2022/06/28 12:42:11 - mmengine - INFO - Epoch(train) [66][1840/3757] lr: 1.000e-03 eta: 9:33:33 time: 0.204 data_time: 0.013 memory: 5148 grad_norm: 7.8976 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3191 loss: 1.3191 2022/06/28 12:42:17 - mmengine - INFO - Epoch(train) [66][1860/3757] lr: 1.000e-03 eta: 9:33:28 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 7.8160 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5607 loss: 1.5607 2022/06/28 12:42:22 - mmengine - INFO - Epoch(train) [66][1880/3757] lr: 1.000e-03 eta: 9:33:22 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 7.3051 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1895 loss: 1.1895 2022/06/28 12:42:28 - mmengine - INFO - Epoch(train) [66][1900/3757] lr: 1.000e-03 eta: 9:33:17 time: 0.194 data_time: 0.016 memory: 5148 grad_norm: 7.8118 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5280 loss: 1.5280 2022/06/28 12:42:33 - mmengine - INFO - Epoch(train) [66][1920/3757] lr: 1.000e-03 eta: 9:33:12 time: 0.193 data_time: 0.011 memory: 5148 grad_norm: 7.0562 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3091 loss: 1.3091 2022/06/28 12:42:38 - mmengine - INFO - Epoch(train) [66][1940/3757] lr: 1.000e-03 eta: 9:33:06 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 8.9490 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3473 loss: 1.3473 2022/06/28 12:42:43 - mmengine - INFO - Epoch(train) [66][1960/3757] lr: 1.000e-03 eta: 9:33:01 time: 0.205 data_time: 0.025 memory: 5148 grad_norm: 6.1769 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6966 loss: 1.6966 2022/06/28 12:42:49 - mmengine - INFO - Epoch(train) [66][1980/3757] lr: 1.000e-03 eta: 9:32:56 time: 0.207 data_time: 0.011 memory: 5148 grad_norm: 6.8716 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.2671 loss: 1.2671 2022/06/28 12:42:54 - mmengine - INFO - Epoch(train) [66][2000/3757] lr: 1.000e-03 eta: 9:32:50 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.7469 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5340 loss: 1.5340 2022/06/28 12:42:59 - mmengine - INFO - Epoch(train) [66][2020/3757] lr: 1.000e-03 eta: 9:32:45 time: 0.199 data_time: 0.015 memory: 5148 grad_norm: 8.5096 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6690 loss: 1.6690 2022/06/28 12:43:04 - mmengine - INFO - Epoch(train) [66][2040/3757] lr: 1.000e-03 eta: 9:32:40 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 8.0840 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3695 loss: 1.3695 2022/06/28 12:43:10 - mmengine - INFO - Epoch(train) [66][2060/3757] lr: 1.000e-03 eta: 9:32:34 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 7.9343 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3047 loss: 1.3047 2022/06/28 12:43:15 - mmengine - INFO - Epoch(train) [66][2080/3757] lr: 1.000e-03 eta: 9:32:29 time: 0.623 data_time: 0.007 memory: 5148 grad_norm: 8.5673 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.6282 loss: 1.6282 2022/06/28 12:43:21 - mmengine - INFO - Epoch(train) [66][2100/3757] lr: 1.000e-03 eta: 9:32:24 time: 0.199 data_time: 0.018 memory: 5148 grad_norm: 7.1489 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4431 loss: 1.4431 2022/06/28 12:43:26 - mmengine - INFO - Epoch(train) [66][2120/3757] lr: 1.000e-03 eta: 9:32:19 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 8.7322 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6665 loss: 1.6665 2022/06/28 12:43:31 - mmengine - INFO - Epoch(train) [66][2140/3757] lr: 1.000e-03 eta: 9:32:13 time: 0.613 data_time: 0.007 memory: 5148 grad_norm: 8.6489 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4986 loss: 1.4986 2022/06/28 12:43:36 - mmengine - INFO - Epoch(train) [66][2160/3757] lr: 1.000e-03 eta: 9:32:08 time: 0.201 data_time: 0.013 memory: 5148 grad_norm: 7.4595 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3225 loss: 1.3225 2022/06/28 12:43:42 - mmengine - INFO - Epoch(train) [66][2180/3757] lr: 1.000e-03 eta: 9:32:02 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.9273 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3877 loss: 1.3877 2022/06/28 12:43:48 - mmengine - INFO - Epoch(train) [66][2200/3757] lr: 1.000e-03 eta: 9:31:58 time: 1.074 data_time: 0.007 memory: 5148 grad_norm: 9.2321 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3061 loss: 1.3061 2022/06/28 12:43:52 - mmengine - INFO - Epoch(train) [66][2220/3757] lr: 1.000e-03 eta: 9:31:52 time: 0.200 data_time: 0.017 memory: 5148 grad_norm: 7.3056 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1046 loss: 1.1046 2022/06/28 12:43:58 - mmengine - INFO - Epoch(train) [66][2240/3757] lr: 1.000e-03 eta: 9:31:47 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 8.9449 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2245 loss: 1.2245 2022/06/28 12:44:03 - mmengine - INFO - Epoch(train) [66][2260/3757] lr: 1.000e-03 eta: 9:31:41 time: 0.465 data_time: 0.011 memory: 5148 grad_norm: 7.8024 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5226 loss: 1.5226 2022/06/28 12:44:08 - mmengine - INFO - Epoch(train) [66][2280/3757] lr: 1.000e-03 eta: 9:31:36 time: 0.200 data_time: 0.015 memory: 5148 grad_norm: 6.9936 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1868 loss: 1.1868 2022/06/28 12:44:14 - mmengine - INFO - Epoch(train) [66][2300/3757] lr: 1.000e-03 eta: 9:31:31 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 7.4971 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1843 loss: 1.1843 2022/06/28 12:44:19 - mmengine - INFO - Epoch(train) [66][2320/3757] lr: 1.000e-03 eta: 9:31:25 time: 0.399 data_time: 0.007 memory: 5148 grad_norm: 8.4550 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1720 loss: 1.1720 2022/06/28 12:44:25 - mmengine - INFO - Epoch(train) [66][2340/3757] lr: 1.000e-03 eta: 9:31:20 time: 0.202 data_time: 0.013 memory: 5148 grad_norm: 7.2455 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6364 loss: 1.6364 2022/06/28 12:44:30 - mmengine - INFO - Epoch(train) [66][2360/3757] lr: 1.000e-03 eta: 9:31:15 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 8.8473 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7337 loss: 1.7337 2022/06/28 12:44:35 - mmengine - INFO - Epoch(train) [66][2380/3757] lr: 1.000e-03 eta: 9:31:10 time: 0.215 data_time: 0.011 memory: 5148 grad_norm: 7.4680 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2627 loss: 1.2627 2022/06/28 12:44:41 - mmengine - INFO - Epoch(train) [66][2400/3757] lr: 1.000e-03 eta: 9:31:04 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 8.2014 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2219 loss: 1.2219 2022/06/28 12:44:45 - mmengine - INFO - Epoch(train) [66][2420/3757] lr: 1.000e-03 eta: 9:30:59 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 7.8152 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2455 loss: 1.2455 2022/06/28 12:44:51 - mmengine - INFO - Epoch(train) [66][2440/3757] lr: 1.000e-03 eta: 9:30:54 time: 0.226 data_time: 0.007 memory: 5148 grad_norm: 8.9079 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0991 loss: 1.0991 2022/06/28 12:44:56 - mmengine - INFO - Epoch(train) [66][2460/3757] lr: 1.000e-03 eta: 9:30:48 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 7.8972 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4784 loss: 1.4784 2022/06/28 12:45:01 - mmengine - INFO - Epoch(train) [66][2480/3757] lr: 1.000e-03 eta: 9:30:43 time: 0.192 data_time: 0.011 memory: 5148 grad_norm: 9.0571 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 0.9169 loss: 0.9169 2022/06/28 12:45:07 - mmengine - INFO - Epoch(train) [66][2500/3757] lr: 1.000e-03 eta: 9:30:38 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 6.6037 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3496 loss: 1.3496 2022/06/28 12:45:12 - mmengine - INFO - Epoch(train) [66][2520/3757] lr: 1.000e-03 eta: 9:30:32 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 7.7499 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6458 loss: 1.6458 2022/06/28 12:45:18 - mmengine - INFO - Epoch(train) [66][2540/3757] lr: 1.000e-03 eta: 9:30:27 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 8.7061 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1591 loss: 1.1591 2022/06/28 12:45:23 - mmengine - INFO - Epoch(train) [66][2560/3757] lr: 1.000e-03 eta: 9:30:22 time: 0.248 data_time: 0.031 memory: 5148 grad_norm: 8.5170 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6331 loss: 1.6331 2022/06/28 12:45:28 - mmengine - INFO - Epoch(train) [66][2580/3757] lr: 1.000e-03 eta: 9:30:17 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 8.2715 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4038 loss: 1.4038 2022/06/28 12:45:33 - mmengine - INFO - Epoch(train) [66][2600/3757] lr: 1.000e-03 eta: 9:30:11 time: 0.196 data_time: 0.014 memory: 5148 grad_norm: 8.2043 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2184 loss: 1.2184 2022/06/28 12:45:39 - mmengine - INFO - Epoch(train) [66][2620/3757] lr: 1.000e-03 eta: 9:30:06 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 7.6866 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5224 loss: 1.5224 2022/06/28 12:45:44 - mmengine - INFO - Epoch(train) [66][2640/3757] lr: 1.000e-03 eta: 9:30:01 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 7.7622 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2860 loss: 1.2860 2022/06/28 12:45:49 - mmengine - INFO - Epoch(train) [66][2660/3757] lr: 1.000e-03 eta: 9:29:55 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 7.8628 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3265 loss: 1.3265 2022/06/28 12:45:55 - mmengine - INFO - Epoch(train) [66][2680/3757] lr: 1.000e-03 eta: 9:29:50 time: 0.209 data_time: 0.020 memory: 5148 grad_norm: 7.7998 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7488 loss: 1.7488 2022/06/28 12:45:59 - mmengine - INFO - Epoch(train) [66][2700/3757] lr: 1.000e-03 eta: 9:29:44 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 9.7840 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4762 loss: 1.4762 2022/06/28 12:46:05 - mmengine - INFO - Epoch(train) [66][2720/3757] lr: 1.000e-03 eta: 9:29:39 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 8.8016 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 0.9927 loss: 0.9927 2022/06/28 12:46:10 - mmengine - INFO - Epoch(train) [66][2740/3757] lr: 1.000e-03 eta: 9:29:33 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 8.4094 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3040 loss: 1.3040 2022/06/28 12:46:15 - mmengine - INFO - Epoch(train) [66][2760/3757] lr: 1.000e-03 eta: 9:29:28 time: 0.207 data_time: 0.013 memory: 5148 grad_norm: 6.6878 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9473 loss: 0.9473 2022/06/28 12:46:20 - mmengine - INFO - Epoch(train) [66][2780/3757] lr: 1.000e-03 eta: 9:29:23 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 7.6783 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5632 loss: 1.5632 2022/06/28 12:46:25 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 12:46:26 - mmengine - INFO - Epoch(train) [66][2800/3757] lr: 1.000e-03 eta: 9:29:17 time: 0.211 data_time: 0.010 memory: 5148 grad_norm: 8.0966 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0540 loss: 1.0540 2022/06/28 12:46:31 - mmengine - INFO - Epoch(train) [66][2820/3757] lr: 1.000e-03 eta: 9:29:12 time: 0.212 data_time: 0.022 memory: 5148 grad_norm: 9.0985 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3877 loss: 1.3877 2022/06/28 12:46:36 - mmengine - INFO - Epoch(train) [66][2840/3757] lr: 1.000e-03 eta: 9:29:07 time: 0.211 data_time: 0.008 memory: 5148 grad_norm: 7.5817 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1113 loss: 1.1113 2022/06/28 12:46:42 - mmengine - INFO - Epoch(train) [66][2860/3757] lr: 1.000e-03 eta: 9:29:01 time: 0.217 data_time: 0.012 memory: 5148 grad_norm: 7.8211 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5687 loss: 1.5687 2022/06/28 12:46:47 - mmengine - INFO - Epoch(train) [66][2880/3757] lr: 1.000e-03 eta: 9:28:56 time: 0.204 data_time: 0.029 memory: 5148 grad_norm: 8.9660 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4461 loss: 1.4461 2022/06/28 12:46:52 - mmengine - INFO - Epoch(train) [66][2900/3757] lr: 1.000e-03 eta: 9:28:51 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 6.7563 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5138 loss: 1.5138 2022/06/28 12:46:58 - mmengine - INFO - Epoch(train) [66][2920/3757] lr: 1.000e-03 eta: 9:28:46 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 7.7758 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.5715 loss: 1.5715 2022/06/28 12:47:03 - mmengine - INFO - Epoch(train) [66][2940/3757] lr: 1.000e-03 eta: 9:28:40 time: 0.261 data_time: 0.029 memory: 5148 grad_norm: 8.3863 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5219 loss: 1.5219 2022/06/28 12:47:08 - mmengine - INFO - Epoch(train) [66][2960/3757] lr: 1.000e-03 eta: 9:28:35 time: 0.209 data_time: 0.012 memory: 5148 grad_norm: 8.5366 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3083 loss: 1.3083 2022/06/28 12:47:13 - mmengine - INFO - Epoch(train) [66][2980/3757] lr: 1.000e-03 eta: 9:28:29 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 7.5469 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3740 loss: 1.3740 2022/06/28 12:47:19 - mmengine - INFO - Epoch(train) [66][3000/3757] lr: 1.000e-03 eta: 9:28:24 time: 0.212 data_time: 0.037 memory: 5148 grad_norm: 7.7587 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4430 loss: 1.4430 2022/06/28 12:47:24 - mmengine - INFO - Epoch(train) [66][3020/3757] lr: 1.000e-03 eta: 9:28:19 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 8.9319 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3653 loss: 1.3653 2022/06/28 12:47:30 - mmengine - INFO - Epoch(train) [66][3040/3757] lr: 1.000e-03 eta: 9:28:14 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 8.2718 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6774 loss: 1.6774 2022/06/28 12:47:34 - mmengine - INFO - Epoch(train) [66][3060/3757] lr: 1.000e-03 eta: 9:28:08 time: 0.210 data_time: 0.028 memory: 5148 grad_norm: 8.2820 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1989 loss: 1.1989 2022/06/28 12:47:39 - mmengine - INFO - Epoch(train) [66][3080/3757] lr: 1.000e-03 eta: 9:28:03 time: 0.220 data_time: 0.007 memory: 5148 grad_norm: 7.0799 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6855 loss: 1.6855 2022/06/28 12:47:45 - mmengine - INFO - Epoch(train) [66][3100/3757] lr: 1.000e-03 eta: 9:27:57 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 7.9335 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1815 loss: 1.1815 2022/06/28 12:47:50 - mmengine - INFO - Epoch(train) [66][3120/3757] lr: 1.000e-03 eta: 9:27:52 time: 0.272 data_time: 0.084 memory: 5148 grad_norm: 7.7015 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1015 loss: 1.1015 2022/06/28 12:47:55 - mmengine - INFO - Epoch(train) [66][3140/3757] lr: 1.000e-03 eta: 9:27:47 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 8.3875 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1302 loss: 1.1302 2022/06/28 12:48:01 - mmengine - INFO - Epoch(train) [66][3160/3757] lr: 1.000e-03 eta: 9:27:42 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 8.9476 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2891 loss: 1.2891 2022/06/28 12:48:06 - mmengine - INFO - Epoch(train) [66][3180/3757] lr: 1.000e-03 eta: 9:27:36 time: 0.217 data_time: 0.034 memory: 5148 grad_norm: 8.5908 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4176 loss: 1.4176 2022/06/28 12:48:11 - mmengine - INFO - Epoch(train) [66][3200/3757] lr: 1.000e-03 eta: 9:27:31 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 9.4422 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3305 loss: 1.3305 2022/06/28 12:48:16 - mmengine - INFO - Epoch(train) [66][3220/3757] lr: 1.000e-03 eta: 9:27:25 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 8.0783 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0103 loss: 1.0103 2022/06/28 12:48:22 - mmengine - INFO - Epoch(train) [66][3240/3757] lr: 1.000e-03 eta: 9:27:20 time: 0.508 data_time: 0.322 memory: 5148 grad_norm: 7.5561 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0933 loss: 1.0933 2022/06/28 12:48:27 - mmengine - INFO - Epoch(train) [66][3260/3757] lr: 1.000e-03 eta: 9:27:15 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 8.2673 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0170 loss: 1.0170 2022/06/28 12:48:32 - mmengine - INFO - Epoch(train) [66][3280/3757] lr: 1.000e-03 eta: 9:27:09 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 8.4153 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0794 loss: 1.0794 2022/06/28 12:48:37 - mmengine - INFO - Epoch(train) [66][3300/3757] lr: 1.000e-03 eta: 9:27:04 time: 0.208 data_time: 0.026 memory: 5148 grad_norm: 7.8282 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2339 loss: 1.2339 2022/06/28 12:48:42 - mmengine - INFO - Epoch(train) [66][3320/3757] lr: 1.000e-03 eta: 9:26:59 time: 0.219 data_time: 0.006 memory: 5148 grad_norm: 8.1838 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4298 loss: 1.4298 2022/06/28 12:48:48 - mmengine - INFO - Epoch(train) [66][3340/3757] lr: 1.000e-03 eta: 9:26:54 time: 0.215 data_time: 0.010 memory: 5148 grad_norm: 6.2645 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1764 loss: 1.1764 2022/06/28 12:48:54 - mmengine - INFO - Epoch(train) [66][3360/3757] lr: 1.000e-03 eta: 9:26:48 time: 0.204 data_time: 0.026 memory: 5148 grad_norm: 7.9051 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4247 loss: 1.4247 2022/06/28 12:48:59 - mmengine - INFO - Epoch(train) [66][3380/3757] lr: 1.000e-03 eta: 9:26:43 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 7.3418 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3492 loss: 1.3492 2022/06/28 12:49:05 - mmengine - INFO - Epoch(train) [66][3400/3757] lr: 1.000e-03 eta: 9:26:38 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 9.0698 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2322 loss: 1.2322 2022/06/28 12:49:09 - mmengine - INFO - Epoch(train) [66][3420/3757] lr: 1.000e-03 eta: 9:26:32 time: 0.203 data_time: 0.012 memory: 5148 grad_norm: 7.1632 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5539 loss: 1.5539 2022/06/28 12:49:15 - mmengine - INFO - Epoch(train) [66][3440/3757] lr: 1.000e-03 eta: 9:26:27 time: 0.227 data_time: 0.007 memory: 5148 grad_norm: 7.7494 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.6654 loss: 1.6654 2022/06/28 12:49:21 - mmengine - INFO - Epoch(train) [66][3460/3757] lr: 1.000e-03 eta: 9:26:22 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 6.7837 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0475 loss: 1.0475 2022/06/28 12:49:26 - mmengine - INFO - Epoch(train) [66][3480/3757] lr: 1.000e-03 eta: 9:26:17 time: 0.209 data_time: 0.024 memory: 5148 grad_norm: 9.0025 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3928 loss: 1.3928 2022/06/28 12:49:32 - mmengine - INFO - Epoch(train) [66][3500/3757] lr: 1.000e-03 eta: 9:26:11 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 7.8493 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2830 loss: 1.2830 2022/06/28 12:49:37 - mmengine - INFO - Epoch(train) [66][3520/3757] lr: 1.000e-03 eta: 9:26:06 time: 0.206 data_time: 0.009 memory: 5148 grad_norm: 6.9999 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1701 loss: 1.1701 2022/06/28 12:49:42 - mmengine - INFO - Epoch(train) [66][3540/3757] lr: 1.000e-03 eta: 9:26:01 time: 0.231 data_time: 0.009 memory: 5148 grad_norm: 8.6730 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2777 loss: 1.2777 2022/06/28 12:49:47 - mmengine - INFO - Epoch(train) [66][3560/3757] lr: 1.000e-03 eta: 9:25:55 time: 0.208 data_time: 0.006 memory: 5148 grad_norm: 7.7009 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1620 loss: 1.1620 2022/06/28 12:49:52 - mmengine - INFO - Epoch(train) [66][3580/3757] lr: 1.000e-03 eta: 9:25:50 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 7.3236 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8204 loss: 0.8204 2022/06/28 12:49:58 - mmengine - INFO - Epoch(train) [66][3600/3757] lr: 1.000e-03 eta: 9:25:45 time: 0.203 data_time: 0.015 memory: 5148 grad_norm: 7.2619 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9653 loss: 0.9653 2022/06/28 12:50:03 - mmengine - INFO - Epoch(train) [66][3620/3757] lr: 1.000e-03 eta: 9:25:39 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 8.6299 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9580 loss: 0.9580 2022/06/28 12:50:08 - mmengine - INFO - Epoch(train) [66][3640/3757] lr: 1.000e-03 eta: 9:25:34 time: 0.252 data_time: 0.016 memory: 5148 grad_norm: 7.9309 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2207 loss: 1.2207 2022/06/28 12:50:14 - mmengine - INFO - Epoch(train) [66][3660/3757] lr: 1.000e-03 eta: 9:25:29 time: 0.220 data_time: 0.013 memory: 5148 grad_norm: 8.4880 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1234 loss: 1.1234 2022/06/28 12:50:18 - mmengine - INFO - Epoch(train) [66][3680/3757] lr: 1.000e-03 eta: 9:25:23 time: 0.199 data_time: 0.009 memory: 5148 grad_norm: 7.1891 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0898 loss: 1.0898 2022/06/28 12:50:24 - mmengine - INFO - Epoch(train) [66][3700/3757] lr: 1.000e-03 eta: 9:25:18 time: 0.205 data_time: 0.014 memory: 5148 grad_norm: 7.7044 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3417 loss: 1.3417 2022/06/28 12:50:29 - mmengine - INFO - Epoch(train) [66][3720/3757] lr: 1.000e-03 eta: 9:25:13 time: 0.209 data_time: 0.014 memory: 5148 grad_norm: 8.7763 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2031 loss: 1.2031 2022/06/28 12:50:34 - mmengine - INFO - Epoch(train) [66][3740/3757] lr: 1.000e-03 eta: 9:25:07 time: 0.220 data_time: 0.007 memory: 5148 grad_norm: 7.7833 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3676 loss: 1.3676 2022/06/28 12:50:38 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 12:50:45 - mmengine - INFO - Epoch(val) [66][20/310] eta: 0:01:09 time: 0.088 data_time: 0.013 memory: 5148 2022/06/28 12:50:49 - mmengine - INFO - Epoch(val) [66][40/310] eta: 0:01:02 time: 0.088 data_time: 0.013 memory: 1367 2022/06/28 12:50:55 - mmengine - INFO - Epoch(val) [66][60/310] eta: 0:00:52 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 12:51:00 - mmengine - INFO - Epoch(val) [66][80/310] eta: 0:00:53 time: 0.084 data_time: 0.008 memory: 1367 2022/06/28 12:51:05 - mmengine - INFO - Epoch(val) [66][100/310] eta: 0:00:49 time: 0.146 data_time: 0.065 memory: 1367 2022/06/28 12:51:10 - mmengine - INFO - Epoch(val) [66][120/310] eta: 0:00:53 time: 0.440 data_time: 0.359 memory: 1367 2022/06/28 12:51:16 - mmengine - INFO - Epoch(val) [66][140/310] eta: 0:00:50 time: 0.426 data_time: 0.349 memory: 1367 2022/06/28 12:51:21 - mmengine - INFO - Epoch(val) [66][160/310] eta: 0:00:41 time: 0.597 data_time: 0.525 memory: 1367 2022/06/28 12:51:27 - mmengine - INFO - Epoch(val) [66][180/310] eta: 0:00:45 time: 0.511 data_time: 0.434 memory: 1367 2022/06/28 12:51:32 - mmengine - INFO - Epoch(val) [66][200/310] eta: 0:00:26 time: 0.123 data_time: 0.051 memory: 1367 2022/06/28 12:51:38 - mmengine - INFO - Epoch(val) [66][220/310] eta: 0:00:33 time: 0.076 data_time: 0.004 memory: 1367 2022/06/28 12:51:42 - mmengine - INFO - Epoch(val) [66][240/310] eta: 0:00:15 time: 0.080 data_time: 0.009 memory: 1367 2022/06/28 12:51:48 - mmengine - INFO - Epoch(val) [66][260/310] eta: 0:00:18 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 12:51:53 - mmengine - INFO - Epoch(val) [66][280/310] eta: 0:00:07 time: 0.078 data_time: 0.006 memory: 1367 2022/06/28 12:51:59 - mmengine - INFO - Epoch(val) [66][300/310] eta: 0:00:03 time: 0.081 data_time: 0.005 memory: 1367 2022/06/28 12:52:02 - mmengine - INFO - Epoch(val) [66][310/310] acc/top1: 0.6503 acc/top5: 0.8560 acc/mean1: 0.6502 2022/06/28 12:52:10 - mmengine - INFO - Epoch(train) [67][20/3757] lr: 1.000e-03 eta: 9:24:58 time: 0.192 data_time: 0.006 memory: 5148 grad_norm: 7.6826 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9029 loss: 1.9029 2022/06/28 12:52:15 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 12:52:16 - mmengine - INFO - Epoch(train) [67][40/3757] lr: 1.000e-03 eta: 9:24:53 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 7.3118 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2207 loss: 1.2207 2022/06/28 12:52:20 - mmengine - INFO - Epoch(train) [67][60/3757] lr: 1.000e-03 eta: 9:24:47 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 7.9658 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0724 loss: 1.0724 2022/06/28 12:52:26 - mmengine - INFO - Epoch(train) [67][80/3757] lr: 1.000e-03 eta: 9:24:42 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.0685 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0309 loss: 1.0309 2022/06/28 12:52:31 - mmengine - INFO - Epoch(train) [67][100/3757] lr: 1.000e-03 eta: 9:24:36 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 7.1599 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0528 loss: 1.0528 2022/06/28 12:52:36 - mmengine - INFO - Epoch(train) [67][120/3757] lr: 1.000e-03 eta: 9:24:31 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.5820 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4387 loss: 1.4387 2022/06/28 12:52:42 - mmengine - INFO - Epoch(train) [67][140/3757] lr: 1.000e-03 eta: 9:24:26 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 7.7786 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1491 loss: 1.1491 2022/06/28 12:52:48 - mmengine - INFO - Epoch(train) [67][160/3757] lr: 1.000e-03 eta: 9:24:21 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 7.9836 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1180 loss: 1.1180 2022/06/28 12:52:52 - mmengine - INFO - Epoch(train) [67][180/3757] lr: 1.000e-03 eta: 9:24:15 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 7.3054 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2814 loss: 1.2814 2022/06/28 12:52:58 - mmengine - INFO - Epoch(train) [67][200/3757] lr: 1.000e-03 eta: 9:24:10 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 8.0282 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.1126 loss: 1.1126 2022/06/28 12:53:03 - mmengine - INFO - Epoch(train) [67][220/3757] lr: 1.000e-03 eta: 9:24:05 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 8.3549 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3498 loss: 1.3498 2022/06/28 12:53:08 - mmengine - INFO - Epoch(train) [67][240/3757] lr: 1.000e-03 eta: 9:23:59 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 7.8629 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2735 loss: 1.2735 2022/06/28 12:53:13 - mmengine - INFO - Epoch(train) [67][260/3757] lr: 1.000e-03 eta: 9:23:54 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 8.7656 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3156 loss: 1.3156 2022/06/28 12:53:19 - mmengine - INFO - Epoch(train) [67][280/3757] lr: 1.000e-03 eta: 9:23:49 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 8.3353 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3600 loss: 1.3600 2022/06/28 12:53:24 - mmengine - INFO - Epoch(train) [67][300/3757] lr: 1.000e-03 eta: 9:23:43 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 8.5730 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2747 loss: 1.2747 2022/06/28 12:53:29 - mmengine - INFO - Epoch(train) [67][320/3757] lr: 1.000e-03 eta: 9:23:38 time: 0.212 data_time: 0.008 memory: 5148 grad_norm: 8.1086 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4151 loss: 1.4151 2022/06/28 12:53:35 - mmengine - INFO - Epoch(train) [67][340/3757] lr: 1.000e-03 eta: 9:23:33 time: 0.233 data_time: 0.008 memory: 5148 grad_norm: 8.5872 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0636 loss: 1.0636 2022/06/28 12:53:40 - mmengine - INFO - Epoch(train) [67][360/3757] lr: 1.000e-03 eta: 9:23:27 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.9424 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0938 loss: 1.0938 2022/06/28 12:53:45 - mmengine - INFO - Epoch(train) [67][380/3757] lr: 1.000e-03 eta: 9:23:22 time: 0.208 data_time: 0.009 memory: 5148 grad_norm: 8.2619 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4348 loss: 1.4348 2022/06/28 12:53:51 - mmengine - INFO - Epoch(train) [67][400/3757] lr: 1.000e-03 eta: 9:23:17 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 7.2151 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0670 loss: 1.0670 2022/06/28 12:53:56 - mmengine - INFO - Epoch(train) [67][420/3757] lr: 1.000e-03 eta: 9:23:11 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 8.0784 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4502 loss: 1.4502 2022/06/28 12:54:01 - mmengine - INFO - Epoch(train) [67][440/3757] lr: 1.000e-03 eta: 9:23:06 time: 0.225 data_time: 0.008 memory: 5148 grad_norm: 9.3649 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3505 loss: 1.3505 2022/06/28 12:54:06 - mmengine - INFO - Epoch(train) [67][460/3757] lr: 1.000e-03 eta: 9:23:01 time: 0.202 data_time: 0.013 memory: 5148 grad_norm: 9.0791 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4406 loss: 1.4406 2022/06/28 12:54:11 - mmengine - INFO - Epoch(train) [67][480/3757] lr: 1.000e-03 eta: 9:22:55 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 7.1516 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4576 loss: 1.4576 2022/06/28 12:54:16 - mmengine - INFO - Epoch(train) [67][500/3757] lr: 1.000e-03 eta: 9:22:50 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 6.3164 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1113 loss: 1.1113 2022/06/28 12:54:22 - mmengine - INFO - Epoch(train) [67][520/3757] lr: 1.000e-03 eta: 9:22:44 time: 0.199 data_time: 0.014 memory: 5148 grad_norm: 8.1549 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1987 loss: 1.1987 2022/06/28 12:54:27 - mmengine - INFO - Epoch(train) [67][540/3757] lr: 1.000e-03 eta: 9:22:39 time: 0.193 data_time: 0.008 memory: 5148 grad_norm: 8.0687 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8073 loss: 1.8073 2022/06/28 12:54:33 - mmengine - INFO - Epoch(train) [67][560/3757] lr: 1.000e-03 eta: 9:22:34 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 7.0664 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3086 loss: 1.3086 2022/06/28 12:54:38 - mmengine - INFO - Epoch(train) [67][580/3757] lr: 1.000e-03 eta: 9:22:28 time: 0.196 data_time: 0.014 memory: 5148 grad_norm: 7.8471 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5172 loss: 1.5172 2022/06/28 12:54:43 - mmengine - INFO - Epoch(train) [67][600/3757] lr: 1.000e-03 eta: 9:22:23 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 7.8537 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1280 loss: 1.1280 2022/06/28 12:54:48 - mmengine - INFO - Epoch(train) [67][620/3757] lr: 1.000e-03 eta: 9:22:18 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 8.4018 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2333 loss: 1.2333 2022/06/28 12:54:55 - mmengine - INFO - Epoch(train) [67][640/3757] lr: 1.000e-03 eta: 9:22:13 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 7.5557 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3253 loss: 1.3253 2022/06/28 12:54:59 - mmengine - INFO - Epoch(train) [67][660/3757] lr: 1.000e-03 eta: 9:22:07 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 8.6486 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9924 loss: 0.9924 2022/06/28 12:55:04 - mmengine - INFO - Epoch(train) [67][680/3757] lr: 1.000e-03 eta: 9:22:02 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 8.9369 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1081 loss: 1.1081 2022/06/28 12:55:10 - mmengine - INFO - Epoch(train) [67][700/3757] lr: 1.000e-03 eta: 9:21:57 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 8.9816 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1769 loss: 1.1769 2022/06/28 12:55:15 - mmengine - INFO - Epoch(train) [67][720/3757] lr: 1.000e-03 eta: 9:21:51 time: 0.195 data_time: 0.014 memory: 5148 grad_norm: 8.7767 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1452 loss: 1.1452 2022/06/28 12:55:21 - mmengine - INFO - Epoch(train) [67][740/3757] lr: 1.000e-03 eta: 9:21:46 time: 0.221 data_time: 0.007 memory: 5148 grad_norm: 8.4252 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5852 loss: 1.5852 2022/06/28 12:55:26 - mmengine - INFO - Epoch(train) [67][760/3757] lr: 1.000e-03 eta: 9:21:41 time: 0.234 data_time: 0.011 memory: 5148 grad_norm: 7.4994 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5075 loss: 1.5075 2022/06/28 12:55:31 - mmengine - INFO - Epoch(train) [67][780/3757] lr: 1.000e-03 eta: 9:21:35 time: 0.201 data_time: 0.012 memory: 5148 grad_norm: 9.3690 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1172 loss: 1.1172 2022/06/28 12:55:36 - mmengine - INFO - Epoch(train) [67][800/3757] lr: 1.000e-03 eta: 9:21:30 time: 0.228 data_time: 0.007 memory: 5148 grad_norm: 8.0532 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7705 loss: 0.7705 2022/06/28 12:55:42 - mmengine - INFO - Epoch(train) [67][820/3757] lr: 1.000e-03 eta: 9:21:25 time: 0.205 data_time: 0.006 memory: 5148 grad_norm: 9.0939 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2516 loss: 1.2516 2022/06/28 12:55:46 - mmengine - INFO - Epoch(train) [67][840/3757] lr: 1.000e-03 eta: 9:21:19 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 6.8454 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8759 loss: 0.8759 2022/06/28 12:55:52 - mmengine - INFO - Epoch(train) [67][860/3757] lr: 1.000e-03 eta: 9:21:14 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 7.5081 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0702 loss: 1.0702 2022/06/28 12:55:57 - mmengine - INFO - Epoch(train) [67][880/3757] lr: 1.000e-03 eta: 9:21:09 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 8.6695 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3268 loss: 1.3268 2022/06/28 12:56:02 - mmengine - INFO - Epoch(train) [67][900/3757] lr: 1.000e-03 eta: 9:21:03 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 7.7358 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4073 loss: 1.4073 2022/06/28 12:56:07 - mmengine - INFO - Epoch(train) [67][920/3757] lr: 1.000e-03 eta: 9:20:58 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 7.5650 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3186 loss: 1.3186 2022/06/28 12:56:13 - mmengine - INFO - Epoch(train) [67][940/3757] lr: 1.000e-03 eta: 9:20:52 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 7.4333 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2475 loss: 1.2475 2022/06/28 12:56:18 - mmengine - INFO - Epoch(train) [67][960/3757] lr: 1.000e-03 eta: 9:20:47 time: 0.215 data_time: 0.028 memory: 5148 grad_norm: 7.4290 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2504 loss: 1.2504 2022/06/28 12:56:23 - mmengine - INFO - Epoch(train) [67][980/3757] lr: 1.000e-03 eta: 9:20:42 time: 0.203 data_time: 0.020 memory: 5148 grad_norm: 7.4871 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3049 loss: 1.3049 2022/06/28 12:56:29 - mmengine - INFO - Epoch(train) [67][1000/3757] lr: 1.000e-03 eta: 9:20:37 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 8.9283 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1274 loss: 1.1274 2022/06/28 12:56:34 - mmengine - INFO - Epoch(train) [67][1020/3757] lr: 1.000e-03 eta: 9:20:31 time: 0.207 data_time: 0.013 memory: 5148 grad_norm: 7.1293 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1518 loss: 1.1518 2022/06/28 12:56:39 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 12:56:39 - mmengine - INFO - Epoch(train) [67][1040/3757] lr: 1.000e-03 eta: 9:20:26 time: 0.216 data_time: 0.018 memory: 5148 grad_norm: 7.8119 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3943 loss: 1.3943 2022/06/28 12:56:45 - mmengine - INFO - Epoch(train) [67][1060/3757] lr: 1.000e-03 eta: 9:20:21 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 6.4239 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3639 loss: 1.3639 2022/06/28 12:56:50 - mmengine - INFO - Epoch(train) [67][1080/3757] lr: 1.000e-03 eta: 9:20:15 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 7.9558 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1697 loss: 1.1697 2022/06/28 12:56:55 - mmengine - INFO - Epoch(train) [67][1100/3757] lr: 1.000e-03 eta: 9:20:10 time: 0.892 data_time: 0.024 memory: 5148 grad_norm: 7.1132 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3044 loss: 1.3044 2022/06/28 12:57:00 - mmengine - INFO - Epoch(train) [67][1120/3757] lr: 1.000e-03 eta: 9:20:04 time: 0.200 data_time: 0.016 memory: 5148 grad_norm: 9.1861 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3954 loss: 1.3954 2022/06/28 12:57:05 - mmengine - INFO - Epoch(train) [67][1140/3757] lr: 1.000e-03 eta: 9:19:59 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 8.4824 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6211 loss: 1.6211 2022/06/28 12:57:11 - mmengine - INFO - Epoch(train) [67][1160/3757] lr: 1.000e-03 eta: 9:19:54 time: 0.893 data_time: 0.015 memory: 5148 grad_norm: 7.6870 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3441 loss: 1.3441 2022/06/28 12:57:17 - mmengine - INFO - Epoch(train) [67][1180/3757] lr: 1.000e-03 eta: 9:19:49 time: 0.219 data_time: 0.006 memory: 5148 grad_norm: 8.6708 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5007 loss: 1.5007 2022/06/28 12:57:22 - mmengine - INFO - Epoch(train) [67][1200/3757] lr: 1.000e-03 eta: 9:19:43 time: 0.208 data_time: 0.006 memory: 5148 grad_norm: 7.1020 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3364 loss: 1.3364 2022/06/28 12:57:27 - mmengine - INFO - Epoch(train) [67][1220/3757] lr: 1.000e-03 eta: 9:19:38 time: 0.308 data_time: 0.020 memory: 5148 grad_norm: 7.4700 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1772 loss: 1.1772 2022/06/28 12:57:32 - mmengine - INFO - Epoch(train) [67][1240/3757] lr: 1.000e-03 eta: 9:19:33 time: 0.208 data_time: 0.009 memory: 5148 grad_norm: 7.5986 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2357 loss: 1.2357 2022/06/28 12:57:38 - mmengine - INFO - Epoch(train) [67][1260/3757] lr: 1.000e-03 eta: 9:19:27 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 7.1533 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3430 loss: 1.3430 2022/06/28 12:57:44 - mmengine - INFO - Epoch(train) [67][1280/3757] lr: 1.000e-03 eta: 9:19:22 time: 0.935 data_time: 0.031 memory: 5148 grad_norm: 8.7015 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2438 loss: 1.2438 2022/06/28 12:57:48 - mmengine - INFO - Epoch(train) [67][1300/3757] lr: 1.000e-03 eta: 9:19:17 time: 0.209 data_time: 0.016 memory: 5148 grad_norm: 8.8562 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3199 loss: 1.3199 2022/06/28 12:57:54 - mmengine - INFO - Epoch(train) [67][1320/3757] lr: 1.000e-03 eta: 9:19:11 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 8.1768 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5112 loss: 1.5112 2022/06/28 12:57:59 - mmengine - INFO - Epoch(train) [67][1340/3757] lr: 1.000e-03 eta: 9:19:06 time: 0.684 data_time: 0.014 memory: 5148 grad_norm: 6.7526 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4364 loss: 1.4364 2022/06/28 12:58:04 - mmengine - INFO - Epoch(train) [67][1360/3757] lr: 1.000e-03 eta: 9:19:01 time: 0.239 data_time: 0.017 memory: 5148 grad_norm: 7.2440 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3998 loss: 1.3998 2022/06/28 12:58:09 - mmengine - INFO - Epoch(train) [67][1380/3757] lr: 1.000e-03 eta: 9:18:55 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 8.8053 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5900 loss: 1.5900 2022/06/28 12:58:15 - mmengine - INFO - Epoch(train) [67][1400/3757] lr: 1.000e-03 eta: 9:18:50 time: 0.995 data_time: 0.030 memory: 5148 grad_norm: 7.1454 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6159 loss: 1.6159 2022/06/28 12:58:20 - mmengine - INFO - Epoch(train) [67][1420/3757] lr: 1.000e-03 eta: 9:18:45 time: 0.211 data_time: 0.012 memory: 5148 grad_norm: 8.7187 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3813 loss: 1.3813 2022/06/28 12:58:25 - mmengine - INFO - Epoch(train) [67][1440/3757] lr: 1.000e-03 eta: 9:18:40 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 8.5490 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 0.9134 loss: 0.9134 2022/06/28 12:58:31 - mmengine - INFO - Epoch(train) [67][1460/3757] lr: 1.000e-03 eta: 9:18:34 time: 0.828 data_time: 0.015 memory: 5148 grad_norm: 6.7234 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5860 loss: 1.5860 2022/06/28 12:58:36 - mmengine - INFO - Epoch(train) [67][1480/3757] lr: 1.000e-03 eta: 9:18:29 time: 0.202 data_time: 0.017 memory: 5148 grad_norm: 7.1642 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2484 loss: 1.2484 2022/06/28 12:58:42 - mmengine - INFO - Epoch(train) [67][1500/3757] lr: 1.000e-03 eta: 9:18:24 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 7.6522 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1805 loss: 1.1805 2022/06/28 12:58:47 - mmengine - INFO - Epoch(train) [67][1520/3757] lr: 1.000e-03 eta: 9:18:19 time: 0.932 data_time: 0.010 memory: 5148 grad_norm: 8.2102 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2512 loss: 1.2512 2022/06/28 12:58:52 - mmengine - INFO - Epoch(train) [67][1540/3757] lr: 1.000e-03 eta: 9:18:13 time: 0.206 data_time: 0.024 memory: 5148 grad_norm: 8.1453 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1820 loss: 1.1820 2022/06/28 12:58:58 - mmengine - INFO - Epoch(train) [67][1560/3757] lr: 1.000e-03 eta: 9:18:08 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 9.1156 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0476 loss: 1.0476 2022/06/28 12:59:03 - mmengine - INFO - Epoch(train) [67][1580/3757] lr: 1.000e-03 eta: 9:18:02 time: 0.219 data_time: 0.007 memory: 5148 grad_norm: 8.7654 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.3841 loss: 1.3841 2022/06/28 12:59:07 - mmengine - INFO - Epoch(train) [67][1600/3757] lr: 1.000e-03 eta: 9:17:57 time: 0.207 data_time: 0.025 memory: 5148 grad_norm: 8.4557 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1465 loss: 1.1465 2022/06/28 12:59:13 - mmengine - INFO - Epoch(train) [67][1620/3757] lr: 1.000e-03 eta: 9:17:52 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 7.0764 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4626 loss: 1.4626 2022/06/28 12:59:18 - mmengine - INFO - Epoch(train) [67][1640/3757] lr: 1.000e-03 eta: 9:17:46 time: 0.691 data_time: 0.015 memory: 5148 grad_norm: 7.8854 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1982 loss: 1.1982 2022/06/28 12:59:23 - mmengine - INFO - Epoch(train) [67][1660/3757] lr: 1.000e-03 eta: 9:17:41 time: 0.198 data_time: 0.015 memory: 5148 grad_norm: 8.7809 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4926 loss: 1.4926 2022/06/28 12:59:29 - mmengine - INFO - Epoch(train) [67][1680/3757] lr: 1.000e-03 eta: 9:17:36 time: 0.196 data_time: 0.012 memory: 5148 grad_norm: 8.9061 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3685 loss: 1.3685 2022/06/28 12:59:34 - mmengine - INFO - Epoch(train) [67][1700/3757] lr: 1.000e-03 eta: 9:17:30 time: 0.207 data_time: 0.014 memory: 5148 grad_norm: 7.6118 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1658 loss: 1.1658 2022/06/28 12:59:40 - mmengine - INFO - Epoch(train) [67][1720/3757] lr: 1.000e-03 eta: 9:17:25 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 8.8163 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4078 loss: 1.4078 2022/06/28 12:59:45 - mmengine - INFO - Epoch(train) [67][1740/3757] lr: 1.000e-03 eta: 9:17:20 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 7.4924 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0882 loss: 1.0882 2022/06/28 12:59:50 - mmengine - INFO - Epoch(train) [67][1760/3757] lr: 1.000e-03 eta: 9:17:14 time: 0.222 data_time: 0.012 memory: 5148 grad_norm: 8.6837 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5491 loss: 1.5491 2022/06/28 12:59:55 - mmengine - INFO - Epoch(train) [67][1780/3757] lr: 1.000e-03 eta: 9:17:09 time: 0.199 data_time: 0.016 memory: 5148 grad_norm: 7.5575 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3279 loss: 1.3279 2022/06/28 13:00:01 - mmengine - INFO - Epoch(train) [67][1800/3757] lr: 1.000e-03 eta: 9:17:04 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 8.2837 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2653 loss: 1.2653 2022/06/28 13:00:07 - mmengine - INFO - Epoch(train) [67][1820/3757] lr: 1.000e-03 eta: 9:16:59 time: 0.213 data_time: 0.011 memory: 5148 grad_norm: 9.6647 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4328 loss: 1.4328 2022/06/28 13:00:12 - mmengine - INFO - Epoch(train) [67][1840/3757] lr: 1.000e-03 eta: 9:16:53 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 7.7086 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2823 loss: 1.2823 2022/06/28 13:00:17 - mmengine - INFO - Epoch(train) [67][1860/3757] lr: 1.000e-03 eta: 9:16:48 time: 0.202 data_time: 0.021 memory: 5148 grad_norm: 7.8231 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5371 loss: 1.5371 2022/06/28 13:00:23 - mmengine - INFO - Epoch(train) [67][1880/3757] lr: 1.000e-03 eta: 9:16:43 time: 0.238 data_time: 0.012 memory: 5148 grad_norm: 9.1943 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7964 loss: 1.7964 2022/06/28 13:00:28 - mmengine - INFO - Epoch(train) [67][1900/3757] lr: 1.000e-03 eta: 9:16:37 time: 0.203 data_time: 0.020 memory: 5148 grad_norm: 6.3093 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3848 loss: 1.3848 2022/06/28 13:00:33 - mmengine - INFO - Epoch(train) [67][1920/3757] lr: 1.000e-03 eta: 9:16:32 time: 0.199 data_time: 0.017 memory: 5148 grad_norm: 8.4404 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3301 loss: 1.3301 2022/06/28 13:00:38 - mmengine - INFO - Epoch(train) [67][1940/3757] lr: 1.000e-03 eta: 9:16:27 time: 0.711 data_time: 0.010 memory: 5148 grad_norm: 7.6649 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0499 loss: 1.0499 2022/06/28 13:00:43 - mmengine - INFO - Epoch(train) [67][1960/3757] lr: 1.000e-03 eta: 9:16:21 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 6.4756 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5917 loss: 1.5917 2022/06/28 13:00:49 - mmengine - INFO - Epoch(train) [67][1980/3757] lr: 1.000e-03 eta: 9:16:16 time: 0.218 data_time: 0.029 memory: 5148 grad_norm: 9.0449 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2891 loss: 1.2891 2022/06/28 13:00:55 - mmengine - INFO - Epoch(train) [67][2000/3757] lr: 1.000e-03 eta: 9:16:11 time: 0.584 data_time: 0.007 memory: 5148 grad_norm: 6.2265 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2388 loss: 1.2388 2022/06/28 13:01:00 - mmengine - INFO - Epoch(train) [67][2020/3757] lr: 1.000e-03 eta: 9:16:05 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 8.2144 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9856 loss: 0.9856 2022/06/28 13:01:05 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 13:01:05 - mmengine - INFO - Epoch(train) [67][2040/3757] lr: 1.000e-03 eta: 9:16:00 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 7.8765 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4191 loss: 1.4191 2022/06/28 13:01:10 - mmengine - INFO - Epoch(train) [67][2060/3757] lr: 1.000e-03 eta: 9:15:55 time: 0.986 data_time: 0.010 memory: 5148 grad_norm: 8.4877 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6145 loss: 1.6145 2022/06/28 13:01:15 - mmengine - INFO - Epoch(train) [67][2080/3757] lr: 1.000e-03 eta: 9:15:49 time: 0.210 data_time: 0.015 memory: 5148 grad_norm: 7.2868 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3875 loss: 1.3875 2022/06/28 13:01:21 - mmengine - INFO - Epoch(train) [67][2100/3757] lr: 1.000e-03 eta: 9:15:44 time: 0.227 data_time: 0.007 memory: 5148 grad_norm: 7.2603 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1824 loss: 1.1824 2022/06/28 13:01:27 - mmengine - INFO - Epoch(train) [67][2120/3757] lr: 1.000e-03 eta: 9:15:39 time: 1.116 data_time: 0.011 memory: 5148 grad_norm: 7.8090 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4650 loss: 1.4650 2022/06/28 13:01:31 - mmengine - INFO - Epoch(train) [67][2140/3757] lr: 1.000e-03 eta: 9:15:33 time: 0.201 data_time: 0.019 memory: 5148 grad_norm: 7.7893 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4064 loss: 1.4064 2022/06/28 13:01:37 - mmengine - INFO - Epoch(train) [67][2160/3757] lr: 1.000e-03 eta: 9:15:28 time: 0.200 data_time: 0.015 memory: 5148 grad_norm: 7.4231 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7396 loss: 1.7396 2022/06/28 13:01:42 - mmengine - INFO - Epoch(train) [67][2180/3757] lr: 1.000e-03 eta: 9:15:23 time: 0.341 data_time: 0.007 memory: 5148 grad_norm: 7.4927 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3455 loss: 1.3455 2022/06/28 13:01:46 - mmengine - INFO - Epoch(train) [67][2200/3757] lr: 1.000e-03 eta: 9:15:17 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 5.9970 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4000 loss: 1.4000 2022/06/28 13:01:52 - mmengine - INFO - Epoch(train) [67][2220/3757] lr: 1.000e-03 eta: 9:15:12 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 7.8152 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1595 loss: 1.1595 2022/06/28 13:01:57 - mmengine - INFO - Epoch(train) [67][2240/3757] lr: 1.000e-03 eta: 9:15:07 time: 0.828 data_time: 0.011 memory: 5148 grad_norm: 8.5658 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5757 loss: 1.5757 2022/06/28 13:02:02 - mmengine - INFO - Epoch(train) [67][2260/3757] lr: 1.000e-03 eta: 9:15:01 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 8.1766 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6304 loss: 1.6304 2022/06/28 13:02:07 - mmengine - INFO - Epoch(train) [67][2280/3757] lr: 1.000e-03 eta: 9:14:56 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 7.2399 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2476 loss: 1.2476 2022/06/28 13:02:13 - mmengine - INFO - Epoch(train) [67][2300/3757] lr: 1.000e-03 eta: 9:14:51 time: 1.080 data_time: 0.010 memory: 5148 grad_norm: 6.7908 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3809 loss: 1.3809 2022/06/28 13:02:18 - mmengine - INFO - Epoch(train) [67][2320/3757] lr: 1.000e-03 eta: 9:14:45 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 7.0764 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5022 loss: 1.5022 2022/06/28 13:02:23 - mmengine - INFO - Epoch(train) [67][2340/3757] lr: 1.000e-03 eta: 9:14:40 time: 0.201 data_time: 0.009 memory: 5148 grad_norm: 8.0234 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3027 loss: 1.3027 2022/06/28 13:02:29 - mmengine - INFO - Epoch(train) [67][2360/3757] lr: 1.000e-03 eta: 9:14:35 time: 0.657 data_time: 0.007 memory: 5148 grad_norm: 7.4913 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1851 loss: 1.1851 2022/06/28 13:02:34 - mmengine - INFO - Epoch(train) [67][2380/3757] lr: 1.000e-03 eta: 9:14:29 time: 0.220 data_time: 0.011 memory: 5148 grad_norm: 8.2286 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0881 loss: 1.0881 2022/06/28 13:02:40 - mmengine - INFO - Epoch(train) [67][2400/3757] lr: 1.000e-03 eta: 9:14:24 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 8.0341 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3383 loss: 1.3383 2022/06/28 13:02:45 - mmengine - INFO - Epoch(train) [67][2420/3757] lr: 1.000e-03 eta: 9:14:19 time: 0.280 data_time: 0.007 memory: 5148 grad_norm: 7.4536 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3779 loss: 1.3779 2022/06/28 13:02:50 - mmengine - INFO - Epoch(train) [67][2440/3757] lr: 1.000e-03 eta: 9:14:13 time: 0.227 data_time: 0.011 memory: 5148 grad_norm: 7.4756 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1893 loss: 1.1893 2022/06/28 13:02:56 - mmengine - INFO - Epoch(train) [67][2460/3757] lr: 1.000e-03 eta: 9:14:08 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 9.1283 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2230 loss: 1.2230 2022/06/28 13:03:01 - mmengine - INFO - Epoch(train) [67][2480/3757] lr: 1.000e-03 eta: 9:14:03 time: 0.398 data_time: 0.007 memory: 5148 grad_norm: 8.8866 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4007 loss: 1.4007 2022/06/28 13:03:07 - mmengine - INFO - Epoch(train) [67][2500/3757] lr: 1.000e-03 eta: 9:13:58 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 6.8064 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3340 loss: 1.3340 2022/06/28 13:03:12 - mmengine - INFO - Epoch(train) [67][2520/3757] lr: 1.000e-03 eta: 9:13:52 time: 0.212 data_time: 0.006 memory: 5148 grad_norm: 7.3590 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4387 loss: 1.4387 2022/06/28 13:03:18 - mmengine - INFO - Epoch(train) [67][2540/3757] lr: 1.000e-03 eta: 9:13:47 time: 0.712 data_time: 0.007 memory: 5148 grad_norm: 9.3303 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4044 loss: 1.4044 2022/06/28 13:03:22 - mmengine - INFO - Epoch(train) [67][2560/3757] lr: 1.000e-03 eta: 9:13:42 time: 0.203 data_time: 0.016 memory: 5148 grad_norm: 7.3646 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5749 loss: 1.5749 2022/06/28 13:03:28 - mmengine - INFO - Epoch(train) [67][2580/3757] lr: 1.000e-03 eta: 9:13:37 time: 0.228 data_time: 0.007 memory: 5148 grad_norm: 8.6074 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1415 loss: 1.1415 2022/06/28 13:03:33 - mmengine - INFO - Epoch(train) [67][2600/3757] lr: 1.000e-03 eta: 9:13:31 time: 0.600 data_time: 0.006 memory: 5148 grad_norm: 8.3133 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2456 loss: 1.2456 2022/06/28 13:03:38 - mmengine - INFO - Epoch(train) [67][2620/3757] lr: 1.000e-03 eta: 9:13:26 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 7.3639 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1754 loss: 1.1754 2022/06/28 13:03:44 - mmengine - INFO - Epoch(train) [67][2640/3757] lr: 1.000e-03 eta: 9:13:21 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 6.7134 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5044 loss: 1.5044 2022/06/28 13:03:49 - mmengine - INFO - Epoch(train) [67][2660/3757] lr: 1.000e-03 eta: 9:13:15 time: 0.860 data_time: 0.006 memory: 5148 grad_norm: 8.3846 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3831 loss: 1.3831 2022/06/28 13:03:54 - mmengine - INFO - Epoch(train) [67][2680/3757] lr: 1.000e-03 eta: 9:13:10 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 8.6777 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4802 loss: 1.4802 2022/06/28 13:04:00 - mmengine - INFO - Epoch(train) [67][2700/3757] lr: 1.000e-03 eta: 9:13:05 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 8.1721 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.2600 loss: 1.2600 2022/06/28 13:04:06 - mmengine - INFO - Epoch(train) [67][2720/3757] lr: 1.000e-03 eta: 9:13:00 time: 0.846 data_time: 0.007 memory: 5148 grad_norm: 8.6990 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5050 loss: 1.5050 2022/06/28 13:04:10 - mmengine - INFO - Epoch(train) [67][2740/3757] lr: 1.000e-03 eta: 9:12:54 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 7.8541 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3017 loss: 1.3017 2022/06/28 13:04:16 - mmengine - INFO - Epoch(train) [67][2760/3757] lr: 1.000e-03 eta: 9:12:49 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 7.1606 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9075 loss: 0.9075 2022/06/28 13:04:22 - mmengine - INFO - Epoch(train) [67][2780/3757] lr: 1.000e-03 eta: 9:12:44 time: 0.809 data_time: 0.007 memory: 5148 grad_norm: 8.5488 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5273 loss: 1.5273 2022/06/28 13:04:27 - mmengine - INFO - Epoch(train) [67][2800/3757] lr: 1.000e-03 eta: 9:12:38 time: 0.217 data_time: 0.019 memory: 5148 grad_norm: 8.5408 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7284 loss: 1.7284 2022/06/28 13:04:32 - mmengine - INFO - Epoch(train) [67][2820/3757] lr: 1.000e-03 eta: 9:12:33 time: 0.209 data_time: 0.011 memory: 5148 grad_norm: 7.6508 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3642 loss: 1.3642 2022/06/28 13:04:37 - mmengine - INFO - Epoch(train) [67][2840/3757] lr: 1.000e-03 eta: 9:12:27 time: 0.990 data_time: 0.012 memory: 5148 grad_norm: 7.4433 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0103 loss: 1.0103 2022/06/28 13:04:42 - mmengine - INFO - Epoch(train) [67][2860/3757] lr: 1.000e-03 eta: 9:12:22 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 7.6445 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6618 loss: 1.6618 2022/06/28 13:04:47 - mmengine - INFO - Epoch(train) [67][2880/3757] lr: 1.000e-03 eta: 9:12:17 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 10.7666 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1898 loss: 1.1898 2022/06/28 13:04:53 - mmengine - INFO - Epoch(train) [67][2900/3757] lr: 1.000e-03 eta: 9:12:12 time: 0.207 data_time: 0.006 memory: 5148 grad_norm: 8.0793 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2054 loss: 1.2054 2022/06/28 13:04:58 - mmengine - INFO - Epoch(train) [67][2920/3757] lr: 1.000e-03 eta: 9:12:06 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 8.3764 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6987 loss: 1.6987 2022/06/28 13:05:04 - mmengine - INFO - Epoch(train) [67][2940/3757] lr: 1.000e-03 eta: 9:12:01 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 7.1449 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5253 loss: 1.5253 2022/06/28 13:05:09 - mmengine - INFO - Epoch(train) [67][2960/3757] lr: 1.000e-03 eta: 9:11:56 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 8.6111 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3706 loss: 1.3706 2022/06/28 13:05:14 - mmengine - INFO - Epoch(train) [67][2980/3757] lr: 1.000e-03 eta: 9:11:50 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 8.4937 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2617 loss: 1.2617 2022/06/28 13:05:19 - mmengine - INFO - Epoch(train) [67][3000/3757] lr: 1.000e-03 eta: 9:11:45 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 6.6929 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4154 loss: 1.4154 2022/06/28 13:05:25 - mmengine - INFO - Epoch(train) [67][3020/3757] lr: 1.000e-03 eta: 9:11:40 time: 0.236 data_time: 0.007 memory: 5148 grad_norm: 8.4789 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4244 loss: 1.4244 2022/06/28 13:05:30 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 13:05:30 - mmengine - INFO - Epoch(train) [67][3040/3757] lr: 1.000e-03 eta: 9:11:34 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 7.4094 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2861 loss: 1.2861 2022/06/28 13:05:36 - mmengine - INFO - Epoch(train) [67][3060/3757] lr: 1.000e-03 eta: 9:11:29 time: 0.191 data_time: 0.011 memory: 5148 grad_norm: 8.9629 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2120 loss: 1.2120 2022/06/28 13:05:41 - mmengine - INFO - Epoch(train) [67][3080/3757] lr: 1.000e-03 eta: 9:11:24 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 8.4011 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1045 loss: 1.1045 2022/06/28 13:05:47 - mmengine - INFO - Epoch(train) [67][3100/3757] lr: 1.000e-03 eta: 9:11:19 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 8.5920 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3555 loss: 1.3555 2022/06/28 13:05:52 - mmengine - INFO - Epoch(train) [67][3120/3757] lr: 1.000e-03 eta: 9:11:13 time: 0.213 data_time: 0.010 memory: 5148 grad_norm: 7.7488 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4642 loss: 1.4642 2022/06/28 13:05:57 - mmengine - INFO - Epoch(train) [67][3140/3757] lr: 1.000e-03 eta: 9:11:08 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 7.1742 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1563 loss: 1.1563 2022/06/28 13:06:02 - mmengine - INFO - Epoch(train) [67][3160/3757] lr: 1.000e-03 eta: 9:11:03 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.5071 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2071 loss: 1.2071 2022/06/28 13:06:07 - mmengine - INFO - Epoch(train) [67][3180/3757] lr: 1.000e-03 eta: 9:10:57 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 6.7954 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1739 loss: 1.1739 2022/06/28 13:06:13 - mmengine - INFO - Epoch(train) [67][3200/3757] lr: 1.000e-03 eta: 9:10:52 time: 0.220 data_time: 0.011 memory: 5148 grad_norm: 9.1096 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4567 loss: 1.4567 2022/06/28 13:06:18 - mmengine - INFO - Epoch(train) [67][3220/3757] lr: 1.000e-03 eta: 9:10:46 time: 0.198 data_time: 0.012 memory: 5148 grad_norm: 6.5352 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1665 loss: 1.1665 2022/06/28 13:06:23 - mmengine - INFO - Epoch(train) [67][3240/3757] lr: 1.000e-03 eta: 9:10:41 time: 0.192 data_time: 0.008 memory: 5148 grad_norm: 8.2130 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3379 loss: 1.3379 2022/06/28 13:06:29 - mmengine - INFO - Epoch(train) [67][3260/3757] lr: 1.000e-03 eta: 9:10:36 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 7.6719 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4440 loss: 1.4440 2022/06/28 13:06:33 - mmengine - INFO - Epoch(train) [67][3280/3757] lr: 1.000e-03 eta: 9:10:30 time: 0.206 data_time: 0.019 memory: 5148 grad_norm: 7.2967 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3697 loss: 1.3697 2022/06/28 13:06:39 - mmengine - INFO - Epoch(train) [67][3300/3757] lr: 1.000e-03 eta: 9:10:25 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 7.4011 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1547 loss: 1.1547 2022/06/28 13:06:44 - mmengine - INFO - Epoch(train) [67][3320/3757] lr: 1.000e-03 eta: 9:10:20 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 8.4241 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6748 loss: 1.6748 2022/06/28 13:06:50 - mmengine - INFO - Epoch(train) [67][3340/3757] lr: 1.000e-03 eta: 9:10:15 time: 0.214 data_time: 0.015 memory: 5148 grad_norm: 8.2950 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1643 loss: 1.1643 2022/06/28 13:06:55 - mmengine - INFO - Epoch(train) [67][3360/3757] lr: 1.000e-03 eta: 9:10:09 time: 0.202 data_time: 0.015 memory: 5148 grad_norm: 6.9282 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5442 loss: 1.5442 2022/06/28 13:07:01 - mmengine - INFO - Epoch(train) [67][3380/3757] lr: 1.000e-03 eta: 9:10:04 time: 0.200 data_time: 0.017 memory: 5148 grad_norm: 7.0081 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4317 loss: 1.4317 2022/06/28 13:07:06 - mmengine - INFO - Epoch(train) [67][3400/3757] lr: 1.000e-03 eta: 9:09:59 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 8.2306 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1175 loss: 1.1175 2022/06/28 13:07:11 - mmengine - INFO - Epoch(train) [67][3420/3757] lr: 1.000e-03 eta: 9:09:54 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 6.8669 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1372 loss: 1.1372 2022/06/28 13:07:17 - mmengine - INFO - Epoch(train) [67][3440/3757] lr: 1.000e-03 eta: 9:09:48 time: 0.209 data_time: 0.013 memory: 5148 grad_norm: 7.5240 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0203 loss: 1.0203 2022/06/28 13:07:22 - mmengine - INFO - Epoch(train) [67][3460/3757] lr: 1.000e-03 eta: 9:09:43 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 8.1024 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4679 loss: 1.4679 2022/06/28 13:07:28 - mmengine - INFO - Epoch(train) [67][3480/3757] lr: 1.000e-03 eta: 9:09:38 time: 0.202 data_time: 0.023 memory: 5148 grad_norm: 8.9550 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0676 loss: 1.0676 2022/06/28 13:07:33 - mmengine - INFO - Epoch(train) [67][3500/3757] lr: 1.000e-03 eta: 9:09:32 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 8.1870 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5729 loss: 1.5729 2022/06/28 13:07:38 - mmengine - INFO - Epoch(train) [67][3520/3757] lr: 1.000e-03 eta: 9:09:27 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 7.1779 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5931 loss: 1.5931 2022/06/28 13:07:43 - mmengine - INFO - Epoch(train) [67][3540/3757] lr: 1.000e-03 eta: 9:09:21 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 8.0380 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3279 loss: 1.3279 2022/06/28 13:07:49 - mmengine - INFO - Epoch(train) [67][3560/3757] lr: 1.000e-03 eta: 9:09:16 time: 0.212 data_time: 0.010 memory: 5148 grad_norm: 7.8921 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4536 loss: 1.4536 2022/06/28 13:07:53 - mmengine - INFO - Epoch(train) [67][3580/3757] lr: 1.000e-03 eta: 9:09:11 time: 0.207 data_time: 0.015 memory: 5148 grad_norm: 7.6442 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7025 loss: 1.7025 2022/06/28 13:07:59 - mmengine - INFO - Epoch(train) [67][3600/3757] lr: 1.000e-03 eta: 9:09:06 time: 0.202 data_time: 0.014 memory: 5148 grad_norm: 7.5525 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3967 loss: 1.3967 2022/06/28 13:08:05 - mmengine - INFO - Epoch(train) [67][3620/3757] lr: 1.000e-03 eta: 9:09:00 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 8.0936 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4391 loss: 1.4391 2022/06/28 13:08:09 - mmengine - INFO - Epoch(train) [67][3640/3757] lr: 1.000e-03 eta: 9:08:55 time: 0.199 data_time: 0.014 memory: 5148 grad_norm: 8.3178 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3948 loss: 1.3948 2022/06/28 13:08:15 - mmengine - INFO - Epoch(train) [67][3660/3757] lr: 1.000e-03 eta: 9:08:49 time: 0.207 data_time: 0.014 memory: 5148 grad_norm: 8.1354 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0727 loss: 1.0727 2022/06/28 13:08:20 - mmengine - INFO - Epoch(train) [67][3680/3757] lr: 1.000e-03 eta: 9:08:44 time: 0.200 data_time: 0.016 memory: 5148 grad_norm: 6.8956 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.1656 loss: 1.1656 2022/06/28 13:08:25 - mmengine - INFO - Epoch(train) [67][3700/3757] lr: 1.000e-03 eta: 9:08:39 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 7.6201 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6607 loss: 1.6607 2022/06/28 13:08:31 - mmengine - INFO - Epoch(train) [67][3720/3757] lr: 1.000e-03 eta: 9:08:34 time: 0.200 data_time: 0.014 memory: 5148 grad_norm: 6.7008 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2332 loss: 1.2332 2022/06/28 13:08:36 - mmengine - INFO - Epoch(train) [67][3740/3757] lr: 1.000e-03 eta: 9:08:28 time: 0.212 data_time: 0.010 memory: 5148 grad_norm: 7.9256 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0174 loss: 1.0174 2022/06/28 13:08:39 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 13:08:46 - mmengine - INFO - Epoch(val) [67][20/310] eta: 0:01:07 time: 0.082 data_time: 0.006 memory: 5148 2022/06/28 13:08:51 - mmengine - INFO - Epoch(val) [67][40/310] eta: 0:01:02 time: 0.081 data_time: 0.005 memory: 1367 2022/06/28 13:08:57 - mmengine - INFO - Epoch(val) [67][60/310] eta: 0:00:55 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 13:09:01 - mmengine - INFO - Epoch(val) [67][80/310] eta: 0:00:50 time: 0.146 data_time: 0.064 memory: 1367 2022/06/28 13:09:08 - mmengine - INFO - Epoch(val) [67][100/310] eta: 0:00:46 time: 0.084 data_time: 0.009 memory: 1367 2022/06/28 13:09:12 - mmengine - INFO - Epoch(val) [67][120/310] eta: 0:00:42 time: 0.081 data_time: 0.009 memory: 1367 2022/06/28 13:09:18 - mmengine - INFO - Epoch(val) [67][140/310] eta: 0:00:39 time: 0.184 data_time: 0.107 memory: 1367 2022/06/28 13:09:23 - mmengine - INFO - Epoch(val) [67][160/310] eta: 0:00:38 time: 0.441 data_time: 0.362 memory: 1367 2022/06/28 13:09:29 - mmengine - INFO - Epoch(val) [67][180/310] eta: 0:00:35 time: 0.443 data_time: 0.371 memory: 1367 2022/06/28 13:09:34 - mmengine - INFO - Epoch(val) [67][200/310] eta: 0:00:28 time: 0.284 data_time: 0.207 memory: 1367 2022/06/28 13:09:39 - mmengine - INFO - Epoch(val) [67][220/310] eta: 0:00:24 time: 0.292 data_time: 0.221 memory: 1367 2022/06/28 13:09:44 - mmengine - INFO - Epoch(val) [67][240/310] eta: 0:00:16 time: 0.080 data_time: 0.009 memory: 1367 2022/06/28 13:09:50 - mmengine - INFO - Epoch(val) [67][260/310] eta: 0:00:12 time: 0.178 data_time: 0.102 memory: 1367 2022/06/28 13:09:55 - mmengine - INFO - Epoch(val) [67][280/310] eta: 0:00:07 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 13:10:00 - mmengine - INFO - Epoch(val) [67][300/310] eta: 0:00:02 time: 0.201 data_time: 0.124 memory: 1367 2022/06/28 13:10:04 - mmengine - INFO - Epoch(val) [67][310/310] acc/top1: 0.6481 acc/top5: 0.8542 acc/mean1: 0.6480 2022/06/28 13:10:12 - mmengine - INFO - Epoch(train) [68][20/3757] lr: 1.000e-03 eta: 9:08:19 time: 0.200 data_time: 0.015 memory: 5148 grad_norm: 8.1969 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4997 loss: 1.4997 2022/06/28 13:10:18 - mmengine - INFO - Epoch(train) [68][40/3757] lr: 1.000e-03 eta: 9:08:14 time: 0.200 data_time: 0.015 memory: 5148 grad_norm: 8.0292 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8932 loss: 0.8932 2022/06/28 13:10:22 - mmengine - INFO - Epoch(train) [68][60/3757] lr: 1.000e-03 eta: 9:08:08 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 8.0675 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8680 loss: 0.8680 2022/06/28 13:10:28 - mmengine - INFO - Epoch(train) [68][80/3757] lr: 1.000e-03 eta: 9:08:03 time: 0.199 data_time: 0.013 memory: 5148 grad_norm: 8.7807 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0507 loss: 1.0507 2022/06/28 13:10:34 - mmengine - INFO - Epoch(train) [68][100/3757] lr: 1.000e-03 eta: 9:07:58 time: 0.197 data_time: 0.014 memory: 5148 grad_norm: 7.2579 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3628 loss: 1.3628 2022/06/28 13:10:39 - mmengine - INFO - Epoch(train) [68][120/3757] lr: 1.000e-03 eta: 9:07:52 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 8.6698 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1078 loss: 1.1078 2022/06/28 13:10:44 - mmengine - INFO - Epoch(train) [68][140/3757] lr: 1.000e-03 eta: 9:07:47 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 8.2271 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2348 loss: 1.2348 2022/06/28 13:10:50 - mmengine - INFO - Epoch(train) [68][160/3757] lr: 1.000e-03 eta: 9:07:42 time: 0.206 data_time: 0.006 memory: 5148 grad_norm: 6.8779 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4066 loss: 1.4066 2022/06/28 13:10:55 - mmengine - INFO - Epoch(train) [68][180/3757] lr: 1.000e-03 eta: 9:07:37 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 7.2959 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0992 loss: 1.0992 2022/06/28 13:11:00 - mmengine - INFO - Epoch(train) [68][200/3757] lr: 1.000e-03 eta: 9:07:31 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 6.9289 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7031 loss: 1.7031 2022/06/28 13:11:06 - mmengine - INFO - Epoch(train) [68][220/3757] lr: 1.000e-03 eta: 9:07:26 time: 0.301 data_time: 0.007 memory: 5148 grad_norm: 6.2513 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3749 loss: 1.3749 2022/06/28 13:11:11 - mmengine - INFO - Epoch(train) [68][240/3757] lr: 1.000e-03 eta: 9:07:21 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 7.1073 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3480 loss: 1.3480 2022/06/28 13:11:16 - mmengine - INFO - Epoch(train) [68][260/3757] lr: 1.000e-03 eta: 9:07:15 time: 0.199 data_time: 0.013 memory: 5148 grad_norm: 7.7028 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7824 loss: 0.7824 2022/06/28 13:11:22 - mmengine - INFO - Epoch(train) [68][280/3757] lr: 1.000e-03 eta: 9:07:10 time: 0.903 data_time: 0.007 memory: 5148 grad_norm: 7.4080 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3099 loss: 1.3099 2022/06/28 13:11:23 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 13:11:27 - mmengine - INFO - Epoch(train) [68][300/3757] lr: 1.000e-03 eta: 9:07:05 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 7.6747 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2713 loss: 1.2713 2022/06/28 13:11:33 - mmengine - INFO - Epoch(train) [68][320/3757] lr: 1.000e-03 eta: 9:07:00 time: 0.195 data_time: 0.020 memory: 5148 grad_norm: 7.9793 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5378 loss: 1.5378 2022/06/28 13:11:38 - mmengine - INFO - Epoch(train) [68][340/3757] lr: 1.000e-03 eta: 9:06:54 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 7.8515 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1444 loss: 1.1444 2022/06/28 13:11:43 - mmengine - INFO - Epoch(train) [68][360/3757] lr: 1.000e-03 eta: 9:06:49 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 5.7087 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1171 loss: 1.1171 2022/06/28 13:11:49 - mmengine - INFO - Epoch(train) [68][380/3757] lr: 1.000e-03 eta: 9:06:44 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 7.0610 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0773 loss: 1.0773 2022/06/28 13:11:54 - mmengine - INFO - Epoch(train) [68][400/3757] lr: 1.000e-03 eta: 9:06:38 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 8.4391 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3723 loss: 1.3723 2022/06/28 13:11:59 - mmengine - INFO - Epoch(train) [68][420/3757] lr: 1.000e-03 eta: 9:06:33 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 7.2063 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3892 loss: 1.3892 2022/06/28 13:12:05 - mmengine - INFO - Epoch(train) [68][440/3757] lr: 1.000e-03 eta: 9:06:28 time: 0.202 data_time: 0.017 memory: 5148 grad_norm: 8.4257 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5546 loss: 1.5546 2022/06/28 13:12:10 - mmengine - INFO - Epoch(train) [68][460/3757] lr: 1.000e-03 eta: 9:06:23 time: 0.214 data_time: 0.021 memory: 5148 grad_norm: 8.0974 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5483 loss: 1.5483 2022/06/28 13:12:15 - mmengine - INFO - Epoch(train) [68][480/3757] lr: 1.000e-03 eta: 9:06:17 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 8.0435 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0695 loss: 1.0695 2022/06/28 13:12:20 - mmengine - INFO - Epoch(train) [68][500/3757] lr: 1.000e-03 eta: 9:06:12 time: 0.215 data_time: 0.016 memory: 5148 grad_norm: 7.9357 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2541 loss: 1.2541 2022/06/28 13:12:26 - mmengine - INFO - Epoch(train) [68][520/3757] lr: 1.000e-03 eta: 9:06:07 time: 0.209 data_time: 0.010 memory: 5148 grad_norm: 8.6930 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2048 loss: 1.2048 2022/06/28 13:12:31 - mmengine - INFO - Epoch(train) [68][540/3757] lr: 1.000e-03 eta: 9:06:01 time: 0.217 data_time: 0.008 memory: 5148 grad_norm: 7.0531 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4111 loss: 1.4111 2022/06/28 13:12:37 - mmengine - INFO - Epoch(train) [68][560/3757] lr: 1.000e-03 eta: 9:05:56 time: 0.198 data_time: 0.013 memory: 5148 grad_norm: 6.8429 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6264 loss: 1.6264 2022/06/28 13:12:42 - mmengine - INFO - Epoch(train) [68][580/3757] lr: 1.000e-03 eta: 9:05:51 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 9.0512 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4206 loss: 1.4206 2022/06/28 13:12:47 - mmengine - INFO - Epoch(train) [68][600/3757] lr: 1.000e-03 eta: 9:05:45 time: 0.209 data_time: 0.010 memory: 5148 grad_norm: 7.4887 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2789 loss: 1.2789 2022/06/28 13:12:53 - mmengine - INFO - Epoch(train) [68][620/3757] lr: 1.000e-03 eta: 9:05:40 time: 0.213 data_time: 0.028 memory: 5148 grad_norm: 9.3180 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1991 loss: 1.1991 2022/06/28 13:12:58 - mmengine - INFO - Epoch(train) [68][640/3757] lr: 1.000e-03 eta: 9:05:35 time: 0.221 data_time: 0.011 memory: 5148 grad_norm: 8.2174 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4285 loss: 1.4285 2022/06/28 13:13:03 - mmengine - INFO - Epoch(train) [68][660/3757] lr: 1.000e-03 eta: 9:05:29 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 7.5322 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7503 loss: 1.7503 2022/06/28 13:13:08 - mmengine - INFO - Epoch(train) [68][680/3757] lr: 1.000e-03 eta: 9:05:24 time: 0.203 data_time: 0.014 memory: 5148 grad_norm: 8.4518 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2059 loss: 1.2059 2022/06/28 13:13:14 - mmengine - INFO - Epoch(train) [68][700/3757] lr: 1.000e-03 eta: 9:05:19 time: 0.215 data_time: 0.010 memory: 5148 grad_norm: 7.1532 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9992 loss: 0.9992 2022/06/28 13:13:19 - mmengine - INFO - Epoch(train) [68][720/3757] lr: 1.000e-03 eta: 9:05:13 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 8.3563 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3069 loss: 1.3069 2022/06/28 13:13:25 - mmengine - INFO - Epoch(train) [68][740/3757] lr: 1.000e-03 eta: 9:05:08 time: 0.196 data_time: 0.014 memory: 5148 grad_norm: 7.4921 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.4613 loss: 1.4613 2022/06/28 13:13:30 - mmengine - INFO - Epoch(train) [68][760/3757] lr: 1.000e-03 eta: 9:05:03 time: 0.220 data_time: 0.007 memory: 5148 grad_norm: 7.7902 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3361 loss: 1.3361 2022/06/28 13:13:35 - mmengine - INFO - Epoch(train) [68][780/3757] lr: 1.000e-03 eta: 9:04:57 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 8.3977 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6593 loss: 1.6593 2022/06/28 13:13:41 - mmengine - INFO - Epoch(train) [68][800/3757] lr: 1.000e-03 eta: 9:04:52 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 8.3042 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6101 loss: 1.6101 2022/06/28 13:13:46 - mmengine - INFO - Epoch(train) [68][820/3757] lr: 1.000e-03 eta: 9:04:47 time: 0.217 data_time: 0.010 memory: 5148 grad_norm: 6.0266 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4041 loss: 1.4041 2022/06/28 13:13:51 - mmengine - INFO - Epoch(train) [68][840/3757] lr: 1.000e-03 eta: 9:04:42 time: 0.198 data_time: 0.009 memory: 5148 grad_norm: 6.5611 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4296 loss: 1.4296 2022/06/28 13:13:57 - mmengine - INFO - Epoch(train) [68][860/3757] lr: 1.000e-03 eta: 9:04:36 time: 0.203 data_time: 0.014 memory: 5148 grad_norm: 7.9050 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3516 loss: 1.3516 2022/06/28 13:14:02 - mmengine - INFO - Epoch(train) [68][880/3757] lr: 1.000e-03 eta: 9:04:31 time: 0.208 data_time: 0.018 memory: 5148 grad_norm: 7.4580 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4367 loss: 1.4367 2022/06/28 13:14:07 - mmengine - INFO - Epoch(train) [68][900/3757] lr: 1.000e-03 eta: 9:04:26 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 7.6084 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3033 loss: 1.3033 2022/06/28 13:14:13 - mmengine - INFO - Epoch(train) [68][920/3757] lr: 1.000e-03 eta: 9:04:20 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 8.3626 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2504 loss: 1.2504 2022/06/28 13:14:18 - mmengine - INFO - Epoch(train) [68][940/3757] lr: 1.000e-03 eta: 9:04:15 time: 0.214 data_time: 0.016 memory: 5148 grad_norm: 7.2586 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0326 loss: 1.0326 2022/06/28 13:14:23 - mmengine - INFO - Epoch(train) [68][960/3757] lr: 1.000e-03 eta: 9:04:10 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 7.2154 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9482 loss: 0.9482 2022/06/28 13:14:29 - mmengine - INFO - Epoch(train) [68][980/3757] lr: 1.000e-03 eta: 9:04:04 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 7.2294 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2899 loss: 1.2899 2022/06/28 13:14:34 - mmengine - INFO - Epoch(train) [68][1000/3757] lr: 1.000e-03 eta: 9:03:59 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 8.6561 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5784 loss: 1.5784 2022/06/28 13:14:39 - mmengine - INFO - Epoch(train) [68][1020/3757] lr: 1.000e-03 eta: 9:03:54 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 7.2040 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3868 loss: 1.3868 2022/06/28 13:14:45 - mmengine - INFO - Epoch(train) [68][1040/3757] lr: 1.000e-03 eta: 9:03:49 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 7.3610 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1709 loss: 1.1709 2022/06/28 13:14:50 - mmengine - INFO - Epoch(train) [68][1060/3757] lr: 1.000e-03 eta: 9:03:43 time: 0.204 data_time: 0.014 memory: 5148 grad_norm: 8.2897 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4786 loss: 1.4786 2022/06/28 13:14:55 - mmengine - INFO - Epoch(train) [68][1080/3757] lr: 1.000e-03 eta: 9:03:38 time: 0.210 data_time: 0.011 memory: 5148 grad_norm: 7.2470 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9482 loss: 0.9482 2022/06/28 13:15:00 - mmengine - INFO - Epoch(train) [68][1100/3757] lr: 1.000e-03 eta: 9:03:33 time: 0.204 data_time: 0.013 memory: 5148 grad_norm: 9.4964 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9790 loss: 0.9790 2022/06/28 13:15:06 - mmengine - INFO - Epoch(train) [68][1120/3757] lr: 1.000e-03 eta: 9:03:28 time: 0.202 data_time: 0.019 memory: 5148 grad_norm: 8.8780 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4189 loss: 1.4189 2022/06/28 13:15:12 - mmengine - INFO - Epoch(train) [68][1140/3757] lr: 1.000e-03 eta: 9:03:22 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 7.6858 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6917 loss: 1.6917 2022/06/28 13:15:17 - mmengine - INFO - Epoch(train) [68][1160/3757] lr: 1.000e-03 eta: 9:03:17 time: 0.239 data_time: 0.055 memory: 5148 grad_norm: 7.2846 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1596 loss: 1.1596 2022/06/28 13:15:22 - mmengine - INFO - Epoch(train) [68][1180/3757] lr: 1.000e-03 eta: 9:03:12 time: 0.206 data_time: 0.020 memory: 5148 grad_norm: 8.7400 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1589 loss: 1.1589 2022/06/28 13:15:27 - mmengine - INFO - Epoch(train) [68][1200/3757] lr: 1.000e-03 eta: 9:03:06 time: 0.194 data_time: 0.012 memory: 5148 grad_norm: 8.8327 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3485 loss: 1.3485 2022/06/28 13:15:33 - mmengine - INFO - Epoch(train) [68][1220/3757] lr: 1.000e-03 eta: 9:03:01 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 8.9409 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4532 loss: 1.4532 2022/06/28 13:15:39 - mmengine - INFO - Epoch(train) [68][1240/3757] lr: 1.000e-03 eta: 9:02:56 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 9.4085 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.9451 loss: 0.9451 2022/06/28 13:15:43 - mmengine - INFO - Epoch(train) [68][1260/3757] lr: 1.000e-03 eta: 9:02:50 time: 0.207 data_time: 0.016 memory: 5148 grad_norm: 7.4650 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5962 loss: 1.5962 2022/06/28 13:15:50 - mmengine - INFO - Epoch(train) [68][1280/3757] lr: 1.000e-03 eta: 9:02:45 time: 0.234 data_time: 0.008 memory: 5148 grad_norm: 7.7962 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5250 loss: 1.5250 2022/06/28 13:15:50 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 13:15:55 - mmengine - INFO - Epoch(train) [68][1300/3757] lr: 1.000e-03 eta: 9:02:40 time: 0.259 data_time: 0.015 memory: 5148 grad_norm: 7.9461 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2579 loss: 1.2579 2022/06/28 13:16:00 - mmengine - INFO - Epoch(train) [68][1320/3757] lr: 1.000e-03 eta: 9:02:34 time: 0.208 data_time: 0.010 memory: 5148 grad_norm: 8.0219 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0173 loss: 1.0173 2022/06/28 13:16:05 - mmengine - INFO - Epoch(train) [68][1340/3757] lr: 1.000e-03 eta: 9:02:29 time: 0.202 data_time: 0.009 memory: 5148 grad_norm: 8.1637 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2993 loss: 1.2993 2022/06/28 13:16:11 - mmengine - INFO - Epoch(train) [68][1360/3757] lr: 1.000e-03 eta: 9:02:24 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 7.3064 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4552 loss: 1.4552 2022/06/28 13:16:16 - mmengine - INFO - Epoch(train) [68][1380/3757] lr: 1.000e-03 eta: 9:02:19 time: 0.220 data_time: 0.029 memory: 5148 grad_norm: 7.8022 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1963 loss: 1.1963 2022/06/28 13:16:21 - mmengine - INFO - Epoch(train) [68][1400/3757] lr: 1.000e-03 eta: 9:02:13 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 7.2901 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3806 loss: 1.3806 2022/06/28 13:16:27 - mmengine - INFO - Epoch(train) [68][1420/3757] lr: 1.000e-03 eta: 9:02:08 time: 0.196 data_time: 0.014 memory: 5148 grad_norm: 9.0617 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9852 loss: 0.9852 2022/06/28 13:16:31 - mmengine - INFO - Epoch(train) [68][1440/3757] lr: 1.000e-03 eta: 9:02:02 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 7.7437 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3419 loss: 1.3419 2022/06/28 13:16:37 - mmengine - INFO - Epoch(train) [68][1460/3757] lr: 1.000e-03 eta: 9:01:57 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 6.7097 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2572 loss: 1.2572 2022/06/28 13:16:43 - mmengine - INFO - Epoch(train) [68][1480/3757] lr: 1.000e-03 eta: 9:01:52 time: 0.218 data_time: 0.007 memory: 5148 grad_norm: 7.7408 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2880 loss: 1.2880 2022/06/28 13:16:48 - mmengine - INFO - Epoch(train) [68][1500/3757] lr: 1.000e-03 eta: 9:01:47 time: 0.246 data_time: 0.013 memory: 5148 grad_norm: 8.3742 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1246 loss: 1.1246 2022/06/28 13:16:53 - mmengine - INFO - Epoch(train) [68][1520/3757] lr: 1.000e-03 eta: 9:01:42 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 7.7664 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5188 loss: 1.5188 2022/06/28 13:16:59 - mmengine - INFO - Epoch(train) [68][1540/3757] lr: 1.000e-03 eta: 9:01:36 time: 0.202 data_time: 0.012 memory: 5148 grad_norm: 8.3138 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0704 loss: 1.0704 2022/06/28 13:17:04 - mmengine - INFO - Epoch(train) [68][1560/3757] lr: 1.000e-03 eta: 9:01:31 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 6.3145 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1381 loss: 1.1381 2022/06/28 13:17:09 - mmengine - INFO - Epoch(train) [68][1580/3757] lr: 1.000e-03 eta: 9:01:26 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 9.1636 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2130 loss: 1.2130 2022/06/28 13:17:15 - mmengine - INFO - Epoch(train) [68][1600/3757] lr: 1.000e-03 eta: 9:01:21 time: 0.235 data_time: 0.012 memory: 5148 grad_norm: 8.5045 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0532 loss: 1.0532 2022/06/28 13:17:20 - mmengine - INFO - Epoch(train) [68][1620/3757] lr: 1.000e-03 eta: 9:01:15 time: 0.213 data_time: 0.010 memory: 5148 grad_norm: 7.9062 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5962 loss: 1.5962 2022/06/28 13:17:25 - mmengine - INFO - Epoch(train) [68][1640/3757] lr: 1.000e-03 eta: 9:01:10 time: 0.201 data_time: 0.014 memory: 5148 grad_norm: 5.9082 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2746 loss: 1.2746 2022/06/28 13:17:31 - mmengine - INFO - Epoch(train) [68][1660/3757] lr: 1.000e-03 eta: 9:01:05 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 7.0045 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4449 loss: 1.4449 2022/06/28 13:17:36 - mmengine - INFO - Epoch(train) [68][1680/3757] lr: 1.000e-03 eta: 9:00:59 time: 0.201 data_time: 0.020 memory: 5148 grad_norm: 8.7141 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6555 loss: 1.6555 2022/06/28 13:17:41 - mmengine - INFO - Epoch(train) [68][1700/3757] lr: 1.000e-03 eta: 9:00:54 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 7.5243 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3646 loss: 1.3646 2022/06/28 13:17:47 - mmengine - INFO - Epoch(train) [68][1720/3757] lr: 1.000e-03 eta: 9:00:49 time: 0.209 data_time: 0.014 memory: 5148 grad_norm: 7.5906 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5581 loss: 1.5581 2022/06/28 13:17:52 - mmengine - INFO - Epoch(train) [68][1740/3757] lr: 1.000e-03 eta: 9:00:43 time: 0.212 data_time: 0.014 memory: 5148 grad_norm: 7.7307 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3974 loss: 1.3974 2022/06/28 13:17:57 - mmengine - INFO - Epoch(train) [68][1760/3757] lr: 1.000e-03 eta: 9:00:38 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 7.6673 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5914 loss: 1.5914 2022/06/28 13:18:03 - mmengine - INFO - Epoch(train) [68][1780/3757] lr: 1.000e-03 eta: 9:00:33 time: 0.224 data_time: 0.014 memory: 5148 grad_norm: 8.7245 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1926 loss: 1.1926 2022/06/28 13:18:08 - mmengine - INFO - Epoch(train) [68][1800/3757] lr: 1.000e-03 eta: 9:00:27 time: 0.216 data_time: 0.033 memory: 5148 grad_norm: 8.4350 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4229 loss: 1.4229 2022/06/28 13:18:14 - mmengine - INFO - Epoch(train) [68][1820/3757] lr: 1.000e-03 eta: 9:00:22 time: 0.260 data_time: 0.071 memory: 5148 grad_norm: 8.3343 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2896 loss: 1.2896 2022/06/28 13:18:19 - mmengine - INFO - Epoch(train) [68][1840/3757] lr: 1.000e-03 eta: 9:00:17 time: 0.207 data_time: 0.011 memory: 5148 grad_norm: 8.1354 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3997 loss: 1.3997 2022/06/28 13:18:23 - mmengine - INFO - Epoch(train) [68][1860/3757] lr: 1.000e-03 eta: 9:00:11 time: 0.213 data_time: 0.016 memory: 5148 grad_norm: 7.7519 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6460 loss: 1.6460 2022/06/28 13:18:29 - mmengine - INFO - Epoch(train) [68][1880/3757] lr: 1.000e-03 eta: 9:00:06 time: 0.203 data_time: 0.019 memory: 5148 grad_norm: 9.2136 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4680 loss: 1.4680 2022/06/28 13:18:35 - mmengine - INFO - Epoch(train) [68][1900/3757] lr: 1.000e-03 eta: 9:00:01 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 7.0512 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2744 loss: 1.2744 2022/06/28 13:18:39 - mmengine - INFO - Epoch(train) [68][1920/3757] lr: 1.000e-03 eta: 8:59:55 time: 0.210 data_time: 0.015 memory: 5148 grad_norm: 7.7624 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2735 loss: 1.2735 2022/06/28 13:18:44 - mmengine - INFO - Epoch(train) [68][1940/3757] lr: 1.000e-03 eta: 8:59:50 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 7.6837 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3181 loss: 1.3181 2022/06/28 13:18:50 - mmengine - INFO - Epoch(train) [68][1960/3757] lr: 1.000e-03 eta: 8:59:44 time: 0.217 data_time: 0.010 memory: 5148 grad_norm: 7.7866 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9329 loss: 0.9329 2022/06/28 13:18:54 - mmengine - INFO - Epoch(train) [68][1980/3757] lr: 1.000e-03 eta: 8:59:39 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 7.9278 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0142 loss: 1.0142 2022/06/28 13:19:00 - mmengine - INFO - Epoch(train) [68][2000/3757] lr: 1.000e-03 eta: 8:59:34 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 7.1776 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3365 loss: 1.3365 2022/06/28 13:19:05 - mmengine - INFO - Epoch(train) [68][2020/3757] lr: 1.000e-03 eta: 8:59:28 time: 0.213 data_time: 0.012 memory: 5148 grad_norm: 8.9942 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4174 loss: 1.4174 2022/06/28 13:19:10 - mmengine - INFO - Epoch(train) [68][2040/3757] lr: 1.000e-03 eta: 8:59:23 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 7.2030 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1762 loss: 1.1762 2022/06/28 13:19:16 - mmengine - INFO - Epoch(train) [68][2060/3757] lr: 1.000e-03 eta: 8:59:18 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 7.2803 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4628 loss: 1.4628 2022/06/28 13:19:21 - mmengine - INFO - Epoch(train) [68][2080/3757] lr: 1.000e-03 eta: 8:59:12 time: 0.659 data_time: 0.008 memory: 5148 grad_norm: 8.7674 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0163 loss: 1.0163 2022/06/28 13:19:26 - mmengine - INFO - Epoch(train) [68][2100/3757] lr: 1.000e-03 eta: 8:59:07 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 9.5076 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4479 loss: 1.4479 2022/06/28 13:19:32 - mmengine - INFO - Epoch(train) [68][2120/3757] lr: 1.000e-03 eta: 8:59:02 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 7.3539 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3679 loss: 1.3679 2022/06/28 13:19:37 - mmengine - INFO - Epoch(train) [68][2140/3757] lr: 1.000e-03 eta: 8:58:57 time: 0.254 data_time: 0.010 memory: 5148 grad_norm: 9.5926 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2473 loss: 1.2473 2022/06/28 13:19:42 - mmengine - INFO - Epoch(train) [68][2160/3757] lr: 1.000e-03 eta: 8:58:51 time: 0.203 data_time: 0.020 memory: 5148 grad_norm: 7.5299 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2901 loss: 1.2901 2022/06/28 13:19:48 - mmengine - INFO - Epoch(train) [68][2180/3757] lr: 1.000e-03 eta: 8:58:46 time: 0.234 data_time: 0.007 memory: 5148 grad_norm: 9.0371 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2759 loss: 1.2759 2022/06/28 13:19:53 - mmengine - INFO - Epoch(train) [68][2200/3757] lr: 1.000e-03 eta: 8:58:41 time: 0.214 data_time: 0.013 memory: 5148 grad_norm: 7.3487 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0063 loss: 1.0063 2022/06/28 13:19:58 - mmengine - INFO - Epoch(train) [68][2220/3757] lr: 1.000e-03 eta: 8:58:35 time: 0.203 data_time: 0.019 memory: 5148 grad_norm: 7.1240 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4111 loss: 1.4111 2022/06/28 13:20:04 - mmengine - INFO - Epoch(train) [68][2240/3757] lr: 1.000e-03 eta: 8:58:30 time: 0.212 data_time: 0.008 memory: 5148 grad_norm: 6.7901 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3559 loss: 1.3559 2022/06/28 13:20:10 - mmengine - INFO - Epoch(train) [68][2260/3757] lr: 1.000e-03 eta: 8:58:25 time: 0.212 data_time: 0.008 memory: 5148 grad_norm: 9.1601 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2571 loss: 1.2571 2022/06/28 13:20:15 - mmengine - INFO - Epoch(train) [68][2280/3757] lr: 1.000e-03 eta: 8:58:19 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 7.8074 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2470 loss: 1.2470 2022/06/28 13:20:15 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 13:20:20 - mmengine - INFO - Epoch(train) [68][2300/3757] lr: 1.000e-03 eta: 8:58:14 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 7.5060 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3245 loss: 1.3245 2022/06/28 13:20:26 - mmengine - INFO - Epoch(train) [68][2320/3757] lr: 1.000e-03 eta: 8:58:09 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 8.3247 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0710 loss: 1.0710 2022/06/28 13:20:31 - mmengine - INFO - Epoch(train) [68][2340/3757] lr: 1.000e-03 eta: 8:58:04 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 6.9845 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5047 loss: 1.5047 2022/06/28 13:20:36 - mmengine - INFO - Epoch(train) [68][2360/3757] lr: 1.000e-03 eta: 8:57:58 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 8.5399 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2644 loss: 1.2644 2022/06/28 13:20:42 - mmengine - INFO - Epoch(train) [68][2380/3757] lr: 1.000e-03 eta: 8:57:53 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 7.6108 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0325 loss: 1.0325 2022/06/28 13:20:47 - mmengine - INFO - Epoch(train) [68][2400/3757] lr: 1.000e-03 eta: 8:57:48 time: 0.199 data_time: 0.013 memory: 5148 grad_norm: 9.0008 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1135 loss: 1.1135 2022/06/28 13:20:52 - mmengine - INFO - Epoch(train) [68][2420/3757] lr: 1.000e-03 eta: 8:57:42 time: 0.208 data_time: 0.010 memory: 5148 grad_norm: 8.4218 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.0247 loss: 1.0247 2022/06/28 13:20:58 - mmengine - INFO - Epoch(train) [68][2440/3757] lr: 1.000e-03 eta: 8:57:37 time: 0.210 data_time: 0.010 memory: 5148 grad_norm: 8.2788 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2385 loss: 1.2385 2022/06/28 13:21:03 - mmengine - INFO - Epoch(train) [68][2460/3757] lr: 1.000e-03 eta: 8:57:32 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 7.6116 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8721 loss: 1.8721 2022/06/28 13:21:09 - mmengine - INFO - Epoch(train) [68][2480/3757] lr: 1.000e-03 eta: 8:57:27 time: 0.207 data_time: 0.013 memory: 5148 grad_norm: 6.9496 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4257 loss: 1.4257 2022/06/28 13:21:15 - mmengine - INFO - Epoch(train) [68][2500/3757] lr: 1.000e-03 eta: 8:57:22 time: 0.230 data_time: 0.008 memory: 5148 grad_norm: 7.3013 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6765 loss: 1.6765 2022/06/28 13:21:19 - mmengine - INFO - Epoch(train) [68][2520/3757] lr: 1.000e-03 eta: 8:57:16 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 8.1392 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1529 loss: 1.1529 2022/06/28 13:21:24 - mmengine - INFO - Epoch(train) [68][2540/3757] lr: 1.000e-03 eta: 8:57:11 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 7.6699 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0782 loss: 1.0782 2022/06/28 13:21:30 - mmengine - INFO - Epoch(train) [68][2560/3757] lr: 1.000e-03 eta: 8:57:06 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 8.4325 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2560 loss: 1.2560 2022/06/28 13:21:35 - mmengine - INFO - Epoch(train) [68][2580/3757] lr: 1.000e-03 eta: 8:57:00 time: 0.209 data_time: 0.011 memory: 5148 grad_norm: 7.5803 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6941 loss: 1.6941 2022/06/28 13:21:41 - mmengine - INFO - Epoch(train) [68][2600/3757] lr: 1.000e-03 eta: 8:56:55 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 8.1158 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3779 loss: 1.3779 2022/06/28 13:21:46 - mmengine - INFO - Epoch(train) [68][2620/3757] lr: 1.000e-03 eta: 8:56:50 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 8.3154 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2317 loss: 1.2317 2022/06/28 13:21:51 - mmengine - INFO - Epoch(train) [68][2640/3757] lr: 1.000e-03 eta: 8:56:44 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 8.5391 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0015 loss: 1.0015 2022/06/28 13:21:56 - mmengine - INFO - Epoch(train) [68][2660/3757] lr: 1.000e-03 eta: 8:56:39 time: 0.208 data_time: 0.014 memory: 5148 grad_norm: 6.4836 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8973 loss: 0.8973 2022/06/28 13:22:02 - mmengine - INFO - Epoch(train) [68][2680/3757] lr: 1.000e-03 eta: 8:56:34 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.8117 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4927 loss: 1.4927 2022/06/28 13:22:06 - mmengine - INFO - Epoch(train) [68][2700/3757] lr: 1.000e-03 eta: 8:56:28 time: 0.270 data_time: 0.015 memory: 5148 grad_norm: 7.5077 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2215 loss: 1.2215 2022/06/28 13:22:12 - mmengine - INFO - Epoch(train) [68][2720/3757] lr: 1.000e-03 eta: 8:56:23 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 7.7050 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3358 loss: 1.3358 2022/06/28 13:22:18 - mmengine - INFO - Epoch(train) [68][2740/3757] lr: 1.000e-03 eta: 8:56:18 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 7.8582 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4985 loss: 1.4985 2022/06/28 13:22:23 - mmengine - INFO - Epoch(train) [68][2760/3757] lr: 1.000e-03 eta: 8:56:12 time: 0.200 data_time: 0.009 memory: 5148 grad_norm: 7.2679 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5281 loss: 1.5281 2022/06/28 13:22:28 - mmengine - INFO - Epoch(train) [68][2780/3757] lr: 1.000e-03 eta: 8:56:07 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 7.3245 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3214 loss: 1.3214 2022/06/28 13:22:34 - mmengine - INFO - Epoch(train) [68][2800/3757] lr: 1.000e-03 eta: 8:56:02 time: 0.218 data_time: 0.006 memory: 5148 grad_norm: 8.5171 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9914 loss: 0.9914 2022/06/28 13:22:39 - mmengine - INFO - Epoch(train) [68][2820/3757] lr: 1.000e-03 eta: 8:55:56 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 7.7859 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3325 loss: 1.3325 2022/06/28 13:22:45 - mmengine - INFO - Epoch(train) [68][2840/3757] lr: 1.000e-03 eta: 8:55:51 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 8.2397 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5040 loss: 1.5040 2022/06/28 13:22:50 - mmengine - INFO - Epoch(train) [68][2860/3757] lr: 1.000e-03 eta: 8:55:46 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 7.3820 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2239 loss: 1.2239 2022/06/28 13:22:55 - mmengine - INFO - Epoch(train) [68][2880/3757] lr: 1.000e-03 eta: 8:55:40 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 7.1845 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4856 loss: 1.4856 2022/06/28 13:23:00 - mmengine - INFO - Epoch(train) [68][2900/3757] lr: 1.000e-03 eta: 8:55:35 time: 0.226 data_time: 0.044 memory: 5148 grad_norm: 7.5838 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3780 loss: 1.3780 2022/06/28 13:23:05 - mmengine - INFO - Epoch(train) [68][2920/3757] lr: 1.000e-03 eta: 8:55:30 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 8.4994 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1444 loss: 1.1444 2022/06/28 13:23:10 - mmengine - INFO - Epoch(train) [68][2940/3757] lr: 1.000e-03 eta: 8:55:24 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 9.6029 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3761 loss: 1.3761 2022/06/28 13:23:16 - mmengine - INFO - Epoch(train) [68][2960/3757] lr: 1.000e-03 eta: 8:55:19 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 7.4556 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3797 loss: 1.3797 2022/06/28 13:23:21 - mmengine - INFO - Epoch(train) [68][2980/3757] lr: 1.000e-03 eta: 8:55:14 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 7.3878 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2524 loss: 1.2524 2022/06/28 13:23:26 - mmengine - INFO - Epoch(train) [68][3000/3757] lr: 1.000e-03 eta: 8:55:08 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 9.7984 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2978 loss: 1.2978 2022/06/28 13:23:31 - mmengine - INFO - Epoch(train) [68][3020/3757] lr: 1.000e-03 eta: 8:55:03 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 7.1003 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9422 loss: 0.9422 2022/06/28 13:23:37 - mmengine - INFO - Epoch(train) [68][3040/3757] lr: 1.000e-03 eta: 8:54:58 time: 0.279 data_time: 0.007 memory: 5148 grad_norm: 8.9415 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5021 loss: 1.5021 2022/06/28 13:23:42 - mmengine - INFO - Epoch(train) [68][3060/3757] lr: 1.000e-03 eta: 8:54:53 time: 0.210 data_time: 0.018 memory: 5148 grad_norm: 8.5631 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4912 loss: 1.4912 2022/06/28 13:23:48 - mmengine - INFO - Epoch(train) [68][3080/3757] lr: 1.000e-03 eta: 8:54:47 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 9.3537 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6001 loss: 1.6001 2022/06/28 13:23:53 - mmengine - INFO - Epoch(train) [68][3100/3757] lr: 1.000e-03 eta: 8:54:42 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 7.2471 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2291 loss: 1.2291 2022/06/28 13:23:59 - mmengine - INFO - Epoch(train) [68][3120/3757] lr: 1.000e-03 eta: 8:54:37 time: 0.271 data_time: 0.013 memory: 5148 grad_norm: 9.9536 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7202 loss: 1.7202 2022/06/28 13:24:04 - mmengine - INFO - Epoch(train) [68][3140/3757] lr: 1.000e-03 eta: 8:54:31 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 8.2408 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3148 loss: 1.3148 2022/06/28 13:24:09 - mmengine - INFO - Epoch(train) [68][3160/3757] lr: 1.000e-03 eta: 8:54:26 time: 0.206 data_time: 0.009 memory: 5148 grad_norm: 8.2331 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2621 loss: 1.2621 2022/06/28 13:24:14 - mmengine - INFO - Epoch(train) [68][3180/3757] lr: 1.000e-03 eta: 8:54:21 time: 0.215 data_time: 0.032 memory: 5148 grad_norm: 8.3146 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4582 loss: 1.4582 2022/06/28 13:24:19 - mmengine - INFO - Epoch(train) [68][3200/3757] lr: 1.000e-03 eta: 8:54:15 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 7.2506 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3319 loss: 1.3319 2022/06/28 13:24:25 - mmengine - INFO - Epoch(train) [68][3220/3757] lr: 1.000e-03 eta: 8:54:10 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 7.8110 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5330 loss: 1.5330 2022/06/28 13:24:31 - mmengine - INFO - Epoch(train) [68][3240/3757] lr: 1.000e-03 eta: 8:54:05 time: 0.206 data_time: 0.021 memory: 5148 grad_norm: 7.3951 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4958 loss: 1.4958 2022/06/28 13:24:36 - mmengine - INFO - Epoch(train) [68][3260/3757] lr: 1.000e-03 eta: 8:53:59 time: 0.209 data_time: 0.010 memory: 5148 grad_norm: 9.3308 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.3310 loss: 1.3310 2022/06/28 13:24:41 - mmengine - INFO - Epoch(train) [68][3280/3757] lr: 1.000e-03 eta: 8:53:54 time: 0.341 data_time: 0.007 memory: 5148 grad_norm: 8.1601 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3925 loss: 1.3925 2022/06/28 13:24:41 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 13:24:46 - mmengine - INFO - Epoch(train) [68][3300/3757] lr: 1.000e-03 eta: 8:53:49 time: 0.208 data_time: 0.011 memory: 5148 grad_norm: 8.6265 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4318 loss: 1.4318 2022/06/28 13:24:51 - mmengine - INFO - Epoch(train) [68][3320/3757] lr: 1.000e-03 eta: 8:53:43 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 8.9179 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 0.9395 loss: 0.9395 2022/06/28 13:24:57 - mmengine - INFO - Epoch(train) [68][3340/3757] lr: 1.000e-03 eta: 8:53:38 time: 0.229 data_time: 0.007 memory: 5148 grad_norm: 7.6845 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1861 loss: 1.1861 2022/06/28 13:25:02 - mmengine - INFO - Epoch(train) [68][3360/3757] lr: 1.000e-03 eta: 8:53:33 time: 0.198 data_time: 0.016 memory: 5148 grad_norm: 7.2506 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3293 loss: 1.3293 2022/06/28 13:25:08 - mmengine - INFO - Epoch(train) [68][3380/3757] lr: 1.000e-03 eta: 8:53:28 time: 0.206 data_time: 0.023 memory: 5148 grad_norm: 8.1049 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5067 loss: 1.5067 2022/06/28 13:25:13 - mmengine - INFO - Epoch(train) [68][3400/3757] lr: 1.000e-03 eta: 8:53:22 time: 0.200 data_time: 0.016 memory: 5148 grad_norm: 7.2137 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3503 loss: 1.3503 2022/06/28 13:25:19 - mmengine - INFO - Epoch(train) [68][3420/3757] lr: 1.000e-03 eta: 8:53:17 time: 0.194 data_time: 0.011 memory: 5148 grad_norm: 9.2160 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3002 loss: 1.3002 2022/06/28 13:25:24 - mmengine - INFO - Epoch(train) [68][3440/3757] lr: 1.000e-03 eta: 8:53:12 time: 0.212 data_time: 0.024 memory: 5148 grad_norm: 7.8790 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8340 loss: 0.8340 2022/06/28 13:25:29 - mmengine - INFO - Epoch(train) [68][3460/3757] lr: 1.000e-03 eta: 8:53:06 time: 0.212 data_time: 0.017 memory: 5148 grad_norm: 7.9714 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6539 loss: 1.6539 2022/06/28 13:25:35 - mmengine - INFO - Epoch(train) [68][3480/3757] lr: 1.000e-03 eta: 8:53:01 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 7.7354 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0624 loss: 1.0624 2022/06/28 13:25:40 - mmengine - INFO - Epoch(train) [68][3500/3757] lr: 1.000e-03 eta: 8:52:56 time: 0.211 data_time: 0.027 memory: 5148 grad_norm: 8.1701 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2294 loss: 1.2294 2022/06/28 13:25:45 - mmengine - INFO - Epoch(train) [68][3520/3757] lr: 1.000e-03 eta: 8:52:50 time: 0.201 data_time: 0.017 memory: 5148 grad_norm: 6.5691 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3472 loss: 1.3472 2022/06/28 13:25:50 - mmengine - INFO - Epoch(train) [68][3540/3757] lr: 1.000e-03 eta: 8:52:45 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 7.3837 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5854 loss: 1.5854 2022/06/28 13:25:56 - mmengine - INFO - Epoch(train) [68][3560/3757] lr: 1.000e-03 eta: 8:52:40 time: 0.206 data_time: 0.029 memory: 5148 grad_norm: 7.6831 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2295 loss: 1.2295 2022/06/28 13:26:01 - mmengine - INFO - Epoch(train) [68][3580/3757] lr: 1.000e-03 eta: 8:52:35 time: 0.210 data_time: 0.013 memory: 5148 grad_norm: 8.8365 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3802 loss: 1.3802 2022/06/28 13:26:06 - mmengine - INFO - Epoch(train) [68][3600/3757] lr: 1.000e-03 eta: 8:52:29 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 9.5797 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1944 loss: 1.1944 2022/06/28 13:26:12 - mmengine - INFO - Epoch(train) [68][3620/3757] lr: 1.000e-03 eta: 8:52:24 time: 0.211 data_time: 0.030 memory: 5148 grad_norm: 9.3000 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4247 loss: 1.4247 2022/06/28 13:26:17 - mmengine - INFO - Epoch(train) [68][3640/3757] lr: 1.000e-03 eta: 8:52:19 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 7.5134 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0747 loss: 1.0747 2022/06/28 13:26:23 - mmengine - INFO - Epoch(train) [68][3660/3757] lr: 1.000e-03 eta: 8:52:14 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 8.1123 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3629 loss: 1.3629 2022/06/28 13:26:28 - mmengine - INFO - Epoch(train) [68][3680/3757] lr: 1.000e-03 eta: 8:52:08 time: 0.204 data_time: 0.016 memory: 5148 grad_norm: 8.2960 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7667 loss: 1.7667 2022/06/28 13:26:33 - mmengine - INFO - Epoch(train) [68][3700/3757] lr: 1.000e-03 eta: 8:52:03 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 8.5900 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1444 loss: 1.1444 2022/06/28 13:26:39 - mmengine - INFO - Epoch(train) [68][3720/3757] lr: 1.000e-03 eta: 8:51:58 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 10.0259 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4450 loss: 1.4450 2022/06/28 13:26:45 - mmengine - INFO - Epoch(train) [68][3740/3757] lr: 1.000e-03 eta: 8:51:53 time: 0.191 data_time: 0.006 memory: 5148 grad_norm: 6.7720 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6141 loss: 1.6141 2022/06/28 13:26:48 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 13:26:55 - mmengine - INFO - Epoch(val) [68][20/310] eta: 0:01:07 time: 0.398 data_time: 0.327 memory: 5148 2022/06/28 13:26:59 - mmengine - INFO - Epoch(val) [68][40/310] eta: 0:01:00 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 13:27:05 - mmengine - INFO - Epoch(val) [68][60/310] eta: 0:00:55 time: 0.135 data_time: 0.065 memory: 1367 2022/06/28 13:27:10 - mmengine - INFO - Epoch(val) [68][80/310] eta: 0:00:55 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 13:27:16 - mmengine - INFO - Epoch(val) [68][100/310] eta: 0:00:49 time: 0.260 data_time: 0.173 memory: 1367 2022/06/28 13:27:20 - mmengine - INFO - Epoch(val) [68][120/310] eta: 0:00:42 time: 0.091 data_time: 0.009 memory: 1367 2022/06/28 13:27:27 - mmengine - INFO - Epoch(val) [68][140/310] eta: 0:00:56 time: 1.045 data_time: 0.968 memory: 1367 2022/06/28 13:27:32 - mmengine - INFO - Epoch(val) [68][160/310] eta: 0:00:33 time: 0.084 data_time: 0.008 memory: 1367 2022/06/28 13:27:38 - mmengine - INFO - Epoch(val) [68][180/310] eta: 0:00:48 time: 1.141 data_time: 1.064 memory: 1367 2022/06/28 13:27:42 - mmengine - INFO - Epoch(val) [68][200/310] eta: 0:00:25 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 13:27:48 - mmengine - INFO - Epoch(val) [68][220/310] eta: 0:00:31 time: 0.100 data_time: 0.028 memory: 1367 2022/06/28 13:27:53 - mmengine - INFO - Epoch(val) [68][240/310] eta: 0:00:14 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 13:27:59 - mmengine - INFO - Epoch(val) [68][260/310] eta: 0:00:17 time: 0.337 data_time: 0.264 memory: 1367 2022/06/28 13:28:03 - mmengine - INFO - Epoch(val) [68][280/310] eta: 0:00:06 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 13:28:09 - mmengine - INFO - Epoch(val) [68][300/310] eta: 0:00:03 time: 0.404 data_time: 0.327 memory: 1367 2022/06/28 13:28:12 - mmengine - INFO - Epoch(val) [68][310/310] acc/top1: 0.6499 acc/top5: 0.8546 acc/mean1: 0.6498 2022/06/28 13:28:21 - mmengine - INFO - Epoch(train) [69][20/3757] lr: 1.000e-03 eta: 8:51:43 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 7.4307 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2673 loss: 1.2673 2022/06/28 13:28:26 - mmengine - INFO - Epoch(train) [69][40/3757] lr: 1.000e-03 eta: 8:51:38 time: 0.200 data_time: 0.018 memory: 5148 grad_norm: 7.7011 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1789 loss: 1.1789 2022/06/28 13:28:31 - mmengine - INFO - Epoch(train) [69][60/3757] lr: 1.000e-03 eta: 8:51:32 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 7.6227 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4661 loss: 1.4661 2022/06/28 13:28:37 - mmengine - INFO - Epoch(train) [69][80/3757] lr: 1.000e-03 eta: 8:51:27 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 6.8892 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5476 loss: 1.5476 2022/06/28 13:28:42 - mmengine - INFO - Epoch(train) [69][100/3757] lr: 1.000e-03 eta: 8:51:22 time: 0.207 data_time: 0.021 memory: 5148 grad_norm: 8.6657 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4764 loss: 1.4764 2022/06/28 13:28:47 - mmengine - INFO - Epoch(train) [69][120/3757] lr: 1.000e-03 eta: 8:51:16 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 8.0457 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1732 loss: 1.1732 2022/06/28 13:28:52 - mmengine - INFO - Epoch(train) [69][140/3757] lr: 1.000e-03 eta: 8:51:11 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 7.8120 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3146 loss: 1.3146 2022/06/28 13:28:58 - mmengine - INFO - Epoch(train) [69][160/3757] lr: 1.000e-03 eta: 8:51:06 time: 0.208 data_time: 0.010 memory: 5148 grad_norm: 7.1216 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0015 loss: 1.0015 2022/06/28 13:29:03 - mmengine - INFO - Epoch(train) [69][180/3757] lr: 1.000e-03 eta: 8:51:00 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 6.9889 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2653 loss: 1.2653 2022/06/28 13:29:09 - mmengine - INFO - Epoch(train) [69][200/3757] lr: 1.000e-03 eta: 8:50:55 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 8.1293 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0704 loss: 1.0704 2022/06/28 13:29:15 - mmengine - INFO - Epoch(train) [69][220/3757] lr: 1.000e-03 eta: 8:50:50 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 8.6798 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5692 loss: 1.5692 2022/06/28 13:29:20 - mmengine - INFO - Epoch(train) [69][240/3757] lr: 1.000e-03 eta: 8:50:45 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 7.7096 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1718 loss: 1.1718 2022/06/28 13:29:25 - mmengine - INFO - Epoch(train) [69][260/3757] lr: 1.000e-03 eta: 8:50:39 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 7.8107 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8989 loss: 0.8989 2022/06/28 13:29:30 - mmengine - INFO - Epoch(train) [69][280/3757] lr: 1.000e-03 eta: 8:50:34 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 7.2477 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0794 loss: 1.0794 2022/06/28 13:29:35 - mmengine - INFO - Epoch(train) [69][300/3757] lr: 1.000e-03 eta: 8:50:29 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 8.6459 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2738 loss: 1.2738 2022/06/28 13:29:41 - mmengine - INFO - Epoch(train) [69][320/3757] lr: 1.000e-03 eta: 8:50:24 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 7.9476 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3153 loss: 1.3153 2022/06/28 13:29:46 - mmengine - INFO - Epoch(train) [69][340/3757] lr: 1.000e-03 eta: 8:50:18 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 8.5481 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4594 loss: 1.4594 2022/06/28 13:29:51 - mmengine - INFO - Epoch(train) [69][360/3757] lr: 1.000e-03 eta: 8:50:13 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 8.7105 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2523 loss: 1.2523 2022/06/28 13:29:57 - mmengine - INFO - Epoch(train) [69][380/3757] lr: 1.000e-03 eta: 8:50:08 time: 0.254 data_time: 0.008 memory: 5148 grad_norm: 7.5630 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3571 loss: 1.3571 2022/06/28 13:30:03 - mmengine - INFO - Epoch(train) [69][400/3757] lr: 1.000e-03 eta: 8:50:03 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 6.5666 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1072 loss: 1.1072 2022/06/28 13:30:07 - mmengine - INFO - Epoch(train) [69][420/3757] lr: 1.000e-03 eta: 8:49:57 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 7.6447 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0057 loss: 1.0057 2022/06/28 13:30:13 - mmengine - INFO - Epoch(train) [69][440/3757] lr: 1.000e-03 eta: 8:49:52 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 8.9650 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2708 loss: 1.2708 2022/06/28 13:30:19 - mmengine - INFO - Epoch(train) [69][460/3757] lr: 1.000e-03 eta: 8:49:47 time: 0.191 data_time: 0.010 memory: 5148 grad_norm: 7.7606 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6779 loss: 1.6779 2022/06/28 13:30:24 - mmengine - INFO - Epoch(train) [69][480/3757] lr: 1.000e-03 eta: 8:49:41 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 7.0898 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2222 loss: 1.2222 2022/06/28 13:30:30 - mmengine - INFO - Epoch(train) [69][500/3757] lr: 1.000e-03 eta: 8:49:36 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 8.9843 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2323 loss: 1.2323 2022/06/28 13:30:35 - mmengine - INFO - Epoch(train) [69][520/3757] lr: 1.000e-03 eta: 8:49:31 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 8.0487 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1604 loss: 1.1604 2022/06/28 13:30:36 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 13:30:40 - mmengine - INFO - Epoch(train) [69][540/3757] lr: 1.000e-03 eta: 8:49:25 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 7.3305 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2006 loss: 1.2006 2022/06/28 13:30:46 - mmengine - INFO - Epoch(train) [69][560/3757] lr: 1.000e-03 eta: 8:49:20 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 8.8237 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1719 loss: 1.1719 2022/06/28 13:30:51 - mmengine - INFO - Epoch(train) [69][580/3757] lr: 1.000e-03 eta: 8:49:15 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 8.0888 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3270 loss: 1.3270 2022/06/28 13:30:56 - mmengine - INFO - Epoch(train) [69][600/3757] lr: 1.000e-03 eta: 8:49:09 time: 0.210 data_time: 0.011 memory: 5148 grad_norm: 9.1751 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1974 loss: 1.1974 2022/06/28 13:31:01 - mmengine - INFO - Epoch(train) [69][620/3757] lr: 1.000e-03 eta: 8:49:04 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 7.1379 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0944 loss: 1.0944 2022/06/28 13:31:07 - mmengine - INFO - Epoch(train) [69][640/3757] lr: 1.000e-03 eta: 8:48:59 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 7.8005 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9225 loss: 0.9225 2022/06/28 13:31:12 - mmengine - INFO - Epoch(train) [69][660/3757] lr: 1.000e-03 eta: 8:48:53 time: 0.201 data_time: 0.014 memory: 5148 grad_norm: 7.5760 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8790 loss: 0.8790 2022/06/28 13:31:17 - mmengine - INFO - Epoch(train) [69][680/3757] lr: 1.000e-03 eta: 8:48:48 time: 0.221 data_time: 0.007 memory: 5148 grad_norm: 7.2919 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4280 loss: 1.4280 2022/06/28 13:31:23 - mmengine - INFO - Epoch(train) [69][700/3757] lr: 1.000e-03 eta: 8:48:43 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 8.7278 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6838 loss: 1.6838 2022/06/28 13:31:28 - mmengine - INFO - Epoch(train) [69][720/3757] lr: 1.000e-03 eta: 8:48:37 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 7.8331 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2219 loss: 1.2219 2022/06/28 13:31:33 - mmengine - INFO - Epoch(train) [69][740/3757] lr: 1.000e-03 eta: 8:48:32 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 8.9812 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3283 loss: 1.3283 2022/06/28 13:31:38 - mmengine - INFO - Epoch(train) [69][760/3757] lr: 1.000e-03 eta: 8:48:27 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 6.9394 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3260 loss: 1.3260 2022/06/28 13:31:43 - mmengine - INFO - Epoch(train) [69][780/3757] lr: 1.000e-03 eta: 8:48:21 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 7.5182 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.0604 loss: 1.0604 2022/06/28 13:31:49 - mmengine - INFO - Epoch(train) [69][800/3757] lr: 1.000e-03 eta: 8:48:16 time: 0.205 data_time: 0.006 memory: 5148 grad_norm: 9.1376 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1312 loss: 1.1312 2022/06/28 13:31:54 - mmengine - INFO - Epoch(train) [69][820/3757] lr: 1.000e-03 eta: 8:48:11 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 8.3386 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4595 loss: 1.4595 2022/06/28 13:32:00 - mmengine - INFO - Epoch(train) [69][840/3757] lr: 1.000e-03 eta: 8:48:06 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 8.2918 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6435 loss: 1.6435 2022/06/28 13:32:05 - mmengine - INFO - Epoch(train) [69][860/3757] lr: 1.000e-03 eta: 8:48:00 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 6.4037 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3105 loss: 1.3105 2022/06/28 13:32:10 - mmengine - INFO - Epoch(train) [69][880/3757] lr: 1.000e-03 eta: 8:47:55 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 8.3424 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6295 loss: 1.6295 2022/06/28 13:32:15 - mmengine - INFO - Epoch(train) [69][900/3757] lr: 1.000e-03 eta: 8:47:50 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 8.8922 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4007 loss: 1.4007 2022/06/28 13:32:21 - mmengine - INFO - Epoch(train) [69][920/3757] lr: 1.000e-03 eta: 8:47:44 time: 0.223 data_time: 0.008 memory: 5148 grad_norm: 9.1671 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1232 loss: 1.1232 2022/06/28 13:32:27 - mmengine - INFO - Epoch(train) [69][940/3757] lr: 1.000e-03 eta: 8:47:39 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 6.8171 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0665 loss: 1.0665 2022/06/28 13:32:31 - mmengine - INFO - Epoch(train) [69][960/3757] lr: 1.000e-03 eta: 8:47:34 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 7.5499 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2622 loss: 1.2622 2022/06/28 13:32:37 - mmengine - INFO - Epoch(train) [69][980/3757] lr: 1.000e-03 eta: 8:47:28 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 7.3883 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3789 loss: 1.3789 2022/06/28 13:32:42 - mmengine - INFO - Epoch(train) [69][1000/3757] lr: 1.000e-03 eta: 8:47:23 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 6.5830 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2097 loss: 1.2097 2022/06/28 13:32:47 - mmengine - INFO - Epoch(train) [69][1020/3757] lr: 1.000e-03 eta: 8:47:18 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 7.9195 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7442 loss: 1.7442 2022/06/28 13:32:53 - mmengine - INFO - Epoch(train) [69][1040/3757] lr: 1.000e-03 eta: 8:47:13 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 7.9673 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2187 loss: 1.2187 2022/06/28 13:32:58 - mmengine - INFO - Epoch(train) [69][1060/3757] lr: 1.000e-03 eta: 8:47:07 time: 0.193 data_time: 0.008 memory: 5148 grad_norm: 6.8437 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2390 loss: 1.2390 2022/06/28 13:33:03 - mmengine - INFO - Epoch(train) [69][1080/3757] lr: 1.000e-03 eta: 8:47:02 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 7.8402 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2790 loss: 1.2790 2022/06/28 13:33:09 - mmengine - INFO - Epoch(train) [69][1100/3757] lr: 1.000e-03 eta: 8:46:57 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.6082 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1792 loss: 1.1792 2022/06/28 13:33:14 - mmengine - INFO - Epoch(train) [69][1120/3757] lr: 1.000e-03 eta: 8:46:51 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 9.1642 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3777 loss: 1.3777 2022/06/28 13:33:20 - mmengine - INFO - Epoch(train) [69][1140/3757] lr: 1.000e-03 eta: 8:46:46 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 7.1140 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6868 loss: 1.6868 2022/06/28 13:33:25 - mmengine - INFO - Epoch(train) [69][1160/3757] lr: 1.000e-03 eta: 8:46:41 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 7.7875 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2542 loss: 1.2542 2022/06/28 13:33:30 - mmengine - INFO - Epoch(train) [69][1180/3757] lr: 1.000e-03 eta: 8:46:36 time: 0.208 data_time: 0.006 memory: 5148 grad_norm: 6.8364 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1350 loss: 1.1350 2022/06/28 13:33:35 - mmengine - INFO - Epoch(train) [69][1200/3757] lr: 1.000e-03 eta: 8:46:30 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 6.9016 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5143 loss: 1.5143 2022/06/28 13:33:41 - mmengine - INFO - Epoch(train) [69][1220/3757] lr: 1.000e-03 eta: 8:46:25 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 8.7818 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3106 loss: 1.3106 2022/06/28 13:33:46 - mmengine - INFO - Epoch(train) [69][1240/3757] lr: 1.000e-03 eta: 8:46:20 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 8.0170 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0139 loss: 1.0139 2022/06/28 13:33:51 - mmengine - INFO - Epoch(train) [69][1260/3757] lr: 1.000e-03 eta: 8:46:14 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 9.3289 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.0805 loss: 1.0805 2022/06/28 13:33:57 - mmengine - INFO - Epoch(train) [69][1280/3757] lr: 1.000e-03 eta: 8:46:09 time: 0.207 data_time: 0.015 memory: 5148 grad_norm: 6.5362 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5372 loss: 1.5372 2022/06/28 13:34:02 - mmengine - INFO - Epoch(train) [69][1300/3757] lr: 1.000e-03 eta: 8:46:04 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 7.4854 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1002 loss: 1.1002 2022/06/28 13:34:08 - mmengine - INFO - Epoch(train) [69][1320/3757] lr: 1.000e-03 eta: 8:45:58 time: 0.318 data_time: 0.007 memory: 5148 grad_norm: 9.4364 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3026 loss: 1.3026 2022/06/28 13:34:13 - mmengine - INFO - Epoch(train) [69][1340/3757] lr: 1.000e-03 eta: 8:45:53 time: 0.205 data_time: 0.012 memory: 5148 grad_norm: 8.1429 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2367 loss: 1.2367 2022/06/28 13:34:18 - mmengine - INFO - Epoch(train) [69][1360/3757] lr: 1.000e-03 eta: 8:45:48 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 7.8148 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5411 loss: 1.5411 2022/06/28 13:34:23 - mmengine - INFO - Epoch(train) [69][1380/3757] lr: 1.000e-03 eta: 8:45:42 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 7.3359 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3598 loss: 1.3598 2022/06/28 13:34:29 - mmengine - INFO - Epoch(train) [69][1400/3757] lr: 1.000e-03 eta: 8:45:37 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 7.8501 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2612 loss: 1.2612 2022/06/28 13:34:34 - mmengine - INFO - Epoch(train) [69][1420/3757] lr: 1.000e-03 eta: 8:45:32 time: 0.225 data_time: 0.007 memory: 5148 grad_norm: 7.9448 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0673 loss: 1.0673 2022/06/28 13:34:39 - mmengine - INFO - Epoch(train) [69][1440/3757] lr: 1.000e-03 eta: 8:45:26 time: 0.220 data_time: 0.007 memory: 5148 grad_norm: 8.7348 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5006 loss: 1.5006 2022/06/28 13:34:45 - mmengine - INFO - Epoch(train) [69][1460/3757] lr: 1.000e-03 eta: 8:45:21 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 9.1554 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5002 loss: 1.5002 2022/06/28 13:34:50 - mmengine - INFO - Epoch(train) [69][1480/3757] lr: 1.000e-03 eta: 8:45:16 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 7.9704 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5266 loss: 1.5266 2022/06/28 13:34:55 - mmengine - INFO - Epoch(train) [69][1500/3757] lr: 1.000e-03 eta: 8:45:10 time: 0.208 data_time: 0.010 memory: 5148 grad_norm: 6.2970 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2148 loss: 1.2148 2022/06/28 13:35:00 - mmengine - INFO - Epoch(train) [69][1520/3757] lr: 1.000e-03 eta: 8:45:05 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 7.0475 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3848 loss: 1.3848 2022/06/28 13:35:01 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 13:35:06 - mmengine - INFO - Epoch(train) [69][1540/3757] lr: 1.000e-03 eta: 8:45:00 time: 0.547 data_time: 0.007 memory: 5148 grad_norm: 8.3733 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2607 loss: 1.2607 2022/06/28 13:35:11 - mmengine - INFO - Epoch(train) [69][1560/3757] lr: 1.000e-03 eta: 8:44:55 time: 0.207 data_time: 0.011 memory: 5148 grad_norm: 8.9168 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4086 loss: 1.4086 2022/06/28 13:35:17 - mmengine - INFO - Epoch(train) [69][1580/3757] lr: 1.000e-03 eta: 8:44:49 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 8.1760 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2561 loss: 1.2561 2022/06/28 13:35:22 - mmengine - INFO - Epoch(train) [69][1600/3757] lr: 1.000e-03 eta: 8:44:44 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 8.3050 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6897 loss: 1.6897 2022/06/28 13:35:26 - mmengine - INFO - Epoch(train) [69][1620/3757] lr: 1.000e-03 eta: 8:44:38 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 7.1519 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2964 loss: 1.2964 2022/06/28 13:35:33 - mmengine - INFO - Epoch(train) [69][1640/3757] lr: 1.000e-03 eta: 8:44:34 time: 0.227 data_time: 0.006 memory: 5148 grad_norm: 9.6100 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3599 loss: 1.3599 2022/06/28 13:35:38 - mmengine - INFO - Epoch(train) [69][1660/3757] lr: 1.000e-03 eta: 8:44:28 time: 0.911 data_time: 0.007 memory: 5148 grad_norm: 8.3899 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2767 loss: 1.2767 2022/06/28 13:35:43 - mmengine - INFO - Epoch(train) [69][1680/3757] lr: 1.000e-03 eta: 8:44:23 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 8.0869 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3229 loss: 1.3229 2022/06/28 13:35:48 - mmengine - INFO - Epoch(train) [69][1700/3757] lr: 1.000e-03 eta: 8:44:17 time: 0.223 data_time: 0.007 memory: 5148 grad_norm: 7.2015 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4212 loss: 1.4212 2022/06/28 13:35:53 - mmengine - INFO - Epoch(train) [69][1720/3757] lr: 1.000e-03 eta: 8:44:12 time: 0.823 data_time: 0.011 memory: 5148 grad_norm: 8.3511 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4069 loss: 1.4069 2022/06/28 13:35:58 - mmengine - INFO - Epoch(train) [69][1740/3757] lr: 1.000e-03 eta: 8:44:06 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 8.0155 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9742 loss: 0.9742 2022/06/28 13:36:03 - mmengine - INFO - Epoch(train) [69][1760/3757] lr: 1.000e-03 eta: 8:44:01 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 8.0477 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4174 loss: 1.4174 2022/06/28 13:36:09 - mmengine - INFO - Epoch(train) [69][1780/3757] lr: 1.000e-03 eta: 8:43:56 time: 0.364 data_time: 0.008 memory: 5148 grad_norm: 7.4787 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5168 loss: 1.5168 2022/06/28 13:36:14 - mmengine - INFO - Epoch(train) [69][1800/3757] lr: 1.000e-03 eta: 8:43:50 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 7.1083 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4471 loss: 1.4471 2022/06/28 13:36:20 - mmengine - INFO - Epoch(train) [69][1820/3757] lr: 1.000e-03 eta: 8:43:45 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 8.9068 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5786 loss: 1.5786 2022/06/28 13:36:26 - mmengine - INFO - Epoch(train) [69][1840/3757] lr: 1.000e-03 eta: 8:43:40 time: 1.304 data_time: 0.007 memory: 5148 grad_norm: 9.9038 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4619 loss: 1.4619 2022/06/28 13:36:30 - mmengine - INFO - Epoch(train) [69][1860/3757] lr: 1.000e-03 eta: 8:43:35 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 8.4274 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6059 loss: 1.6059 2022/06/28 13:36:37 - mmengine - INFO - Epoch(train) [69][1880/3757] lr: 1.000e-03 eta: 8:43:30 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 6.6543 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2884 loss: 1.2884 2022/06/28 13:36:42 - mmengine - INFO - Epoch(train) [69][1900/3757] lr: 1.000e-03 eta: 8:43:24 time: 0.636 data_time: 0.008 memory: 5148 grad_norm: 8.6063 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6447 loss: 1.6447 2022/06/28 13:36:47 - mmengine - INFO - Epoch(train) [69][1920/3757] lr: 1.000e-03 eta: 8:43:19 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 7.2204 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5546 loss: 1.5546 2022/06/28 13:36:52 - mmengine - INFO - Epoch(train) [69][1940/3757] lr: 1.000e-03 eta: 8:43:13 time: 0.203 data_time: 0.009 memory: 5148 grad_norm: 8.3013 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4940 loss: 1.4940 2022/06/28 13:36:57 - mmengine - INFO - Epoch(train) [69][1960/3757] lr: 1.000e-03 eta: 8:43:08 time: 0.893 data_time: 0.007 memory: 5148 grad_norm: 8.8297 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3634 loss: 1.3634 2022/06/28 13:37:03 - mmengine - INFO - Epoch(train) [69][1980/3757] lr: 1.000e-03 eta: 8:43:03 time: 0.203 data_time: 0.016 memory: 5148 grad_norm: 9.0294 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0188 loss: 1.0188 2022/06/28 13:37:09 - mmengine - INFO - Epoch(train) [69][2000/3757] lr: 1.000e-03 eta: 8:42:58 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 7.4388 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5276 loss: 1.5276 2022/06/28 13:37:13 - mmengine - INFO - Epoch(train) [69][2020/3757] lr: 1.000e-03 eta: 8:42:52 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 7.0132 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5179 loss: 1.5179 2022/06/28 13:37:18 - mmengine - INFO - Epoch(train) [69][2040/3757] lr: 1.000e-03 eta: 8:42:47 time: 0.200 data_time: 0.015 memory: 5148 grad_norm: 10.2005 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.4616 loss: 1.4616 2022/06/28 13:37:24 - mmengine - INFO - Epoch(train) [69][2060/3757] lr: 1.000e-03 eta: 8:42:42 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 7.2445 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5034 loss: 1.5034 2022/06/28 13:37:29 - mmengine - INFO - Epoch(train) [69][2080/3757] lr: 1.000e-03 eta: 8:42:36 time: 0.226 data_time: 0.010 memory: 5148 grad_norm: 8.0159 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4479 loss: 1.4479 2022/06/28 13:37:34 - mmengine - INFO - Epoch(train) [69][2100/3757] lr: 1.000e-03 eta: 8:42:31 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 8.4069 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6788 loss: 1.6788 2022/06/28 13:37:40 - mmengine - INFO - Epoch(train) [69][2120/3757] lr: 1.000e-03 eta: 8:42:26 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 8.8115 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8503 loss: 1.8503 2022/06/28 13:37:44 - mmengine - INFO - Epoch(train) [69][2140/3757] lr: 1.000e-03 eta: 8:42:20 time: 0.241 data_time: 0.011 memory: 5148 grad_norm: 7.6923 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2680 loss: 1.2680 2022/06/28 13:37:50 - mmengine - INFO - Epoch(train) [69][2160/3757] lr: 1.000e-03 eta: 8:42:15 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 7.1839 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9861 loss: 0.9861 2022/06/28 13:37:56 - mmengine - INFO - Epoch(train) [69][2180/3757] lr: 1.000e-03 eta: 8:42:10 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 7.8433 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4506 loss: 1.4506 2022/06/28 13:38:01 - mmengine - INFO - Epoch(train) [69][2200/3757] lr: 1.000e-03 eta: 8:42:04 time: 0.516 data_time: 0.007 memory: 5148 grad_norm: 6.8689 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1056 loss: 1.1056 2022/06/28 13:38:06 - mmengine - INFO - Epoch(train) [69][2220/3757] lr: 1.000e-03 eta: 8:41:59 time: 0.210 data_time: 0.011 memory: 5148 grad_norm: 7.8240 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4347 loss: 1.4347 2022/06/28 13:38:11 - mmengine - INFO - Epoch(train) [69][2240/3757] lr: 1.000e-03 eta: 8:41:54 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 8.1660 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5287 loss: 1.5287 2022/06/28 13:38:17 - mmengine - INFO - Epoch(train) [69][2260/3757] lr: 1.000e-03 eta: 8:41:48 time: 0.850 data_time: 0.007 memory: 5148 grad_norm: 7.4128 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6651 loss: 1.6651 2022/06/28 13:38:22 - mmengine - INFO - Epoch(train) [69][2280/3757] lr: 1.000e-03 eta: 8:41:43 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 9.0646 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3614 loss: 1.3614 2022/06/28 13:38:27 - mmengine - INFO - Epoch(train) [69][2300/3757] lr: 1.000e-03 eta: 8:41:38 time: 0.212 data_time: 0.006 memory: 5148 grad_norm: 8.5658 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1008 loss: 1.1008 2022/06/28 13:38:33 - mmengine - INFO - Epoch(train) [69][2320/3757] lr: 1.000e-03 eta: 8:41:33 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 7.8444 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9785 loss: 0.9785 2022/06/28 13:38:38 - mmengine - INFO - Epoch(train) [69][2340/3757] lr: 1.000e-03 eta: 8:41:27 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 7.1665 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4415 loss: 1.4415 2022/06/28 13:38:43 - mmengine - INFO - Epoch(train) [69][2360/3757] lr: 1.000e-03 eta: 8:41:22 time: 0.215 data_time: 0.008 memory: 5148 grad_norm: 6.7379 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6523 loss: 1.6523 2022/06/28 13:38:49 - mmengine - INFO - Epoch(train) [69][2380/3757] lr: 1.000e-03 eta: 8:41:17 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 9.2023 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2434 loss: 1.2434 2022/06/28 13:38:54 - mmengine - INFO - Epoch(train) [69][2400/3757] lr: 1.000e-03 eta: 8:41:11 time: 0.206 data_time: 0.012 memory: 5148 grad_norm: 7.7458 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5327 loss: 1.5327 2022/06/28 13:38:59 - mmengine - INFO - Epoch(train) [69][2420/3757] lr: 1.000e-03 eta: 8:41:06 time: 0.211 data_time: 0.006 memory: 5148 grad_norm: 7.6078 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4516 loss: 1.4516 2022/06/28 13:39:04 - mmengine - INFO - Epoch(train) [69][2440/3757] lr: 1.000e-03 eta: 8:41:00 time: 0.224 data_time: 0.007 memory: 5148 grad_norm: 10.3243 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3927 loss: 1.3927 2022/06/28 13:39:10 - mmengine - INFO - Epoch(train) [69][2460/3757] lr: 1.000e-03 eta: 8:40:55 time: 0.221 data_time: 0.007 memory: 5148 grad_norm: 6.5285 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4629 loss: 1.4629 2022/06/28 13:39:15 - mmengine - INFO - Epoch(train) [69][2480/3757] lr: 1.000e-03 eta: 8:40:50 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 9.6857 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5185 loss: 1.5185 2022/06/28 13:39:20 - mmengine - INFO - Epoch(train) [69][2500/3757] lr: 1.000e-03 eta: 8:40:44 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 8.2759 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2170 loss: 1.2170 2022/06/28 13:39:25 - mmengine - INFO - Epoch(train) [69][2520/3757] lr: 1.000e-03 eta: 8:40:39 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 7.9296 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1488 loss: 1.1488 2022/06/28 13:39:27 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 13:39:31 - mmengine - INFO - Epoch(train) [69][2540/3757] lr: 1.000e-03 eta: 8:40:34 time: 0.236 data_time: 0.007 memory: 5148 grad_norm: 8.7134 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5888 loss: 1.5888 2022/06/28 13:39:36 - mmengine - INFO - Epoch(train) [69][2560/3757] lr: 1.000e-03 eta: 8:40:28 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 8.2993 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8089 loss: 1.8089 2022/06/28 13:39:42 - mmengine - INFO - Epoch(train) [69][2580/3757] lr: 1.000e-03 eta: 8:40:23 time: 0.207 data_time: 0.013 memory: 5148 grad_norm: 8.2228 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1937 loss: 1.1937 2022/06/28 13:39:47 - mmengine - INFO - Epoch(train) [69][2600/3757] lr: 1.000e-03 eta: 8:40:18 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 7.0431 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3992 loss: 1.3992 2022/06/28 13:39:52 - mmengine - INFO - Epoch(train) [69][2620/3757] lr: 1.000e-03 eta: 8:40:13 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 9.2056 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3910 loss: 1.3910 2022/06/28 13:39:58 - mmengine - INFO - Epoch(train) [69][2640/3757] lr: 1.000e-03 eta: 8:40:07 time: 0.206 data_time: 0.013 memory: 5148 grad_norm: 8.1082 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2079 loss: 1.2079 2022/06/28 13:40:03 - mmengine - INFO - Epoch(train) [69][2660/3757] lr: 1.000e-03 eta: 8:40:02 time: 0.215 data_time: 0.008 memory: 5148 grad_norm: 7.6378 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7951 loss: 0.7951 2022/06/28 13:40:08 - mmengine - INFO - Epoch(train) [69][2680/3757] lr: 1.000e-03 eta: 8:39:57 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 9.1230 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.3834 loss: 1.3834 2022/06/28 13:40:14 - mmengine - INFO - Epoch(train) [69][2700/3757] lr: 1.000e-03 eta: 8:39:52 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 8.4370 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1943 loss: 1.1943 2022/06/28 13:40:20 - mmengine - INFO - Epoch(train) [69][2720/3757] lr: 1.000e-03 eta: 8:39:47 time: 0.836 data_time: 0.011 memory: 5148 grad_norm: 8.5251 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2398 loss: 1.2398 2022/06/28 13:40:24 - mmengine - INFO - Epoch(train) [69][2740/3757] lr: 1.000e-03 eta: 8:39:41 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 9.2247 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1885 loss: 1.1885 2022/06/28 13:40:30 - mmengine - INFO - Epoch(train) [69][2760/3757] lr: 1.000e-03 eta: 8:39:36 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 6.9745 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4876 loss: 1.4876 2022/06/28 13:40:35 - mmengine - INFO - Epoch(train) [69][2780/3757] lr: 1.000e-03 eta: 8:39:31 time: 0.757 data_time: 0.010 memory: 5148 grad_norm: 8.2696 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1051 loss: 2.1051 2022/06/28 13:40:41 - mmengine - INFO - Epoch(train) [69][2800/3757] lr: 1.000e-03 eta: 8:39:25 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 7.6995 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0045 loss: 1.0045 2022/06/28 13:40:46 - mmengine - INFO - Epoch(train) [69][2820/3757] lr: 1.000e-03 eta: 8:39:20 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 7.7255 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4933 loss: 1.4933 2022/06/28 13:40:51 - mmengine - INFO - Epoch(train) [69][2840/3757] lr: 1.000e-03 eta: 8:39:14 time: 0.433 data_time: 0.013 memory: 5148 grad_norm: 8.3978 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0600 loss: 1.0600 2022/06/28 13:40:56 - mmengine - INFO - Epoch(train) [69][2860/3757] lr: 1.000e-03 eta: 8:39:09 time: 0.212 data_time: 0.008 memory: 5148 grad_norm: 8.0937 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0241 loss: 1.0241 2022/06/28 13:41:01 - mmengine - INFO - Epoch(train) [69][2880/3757] lr: 1.000e-03 eta: 8:39:04 time: 0.244 data_time: 0.008 memory: 5148 grad_norm: 9.2517 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3476 loss: 1.3476 2022/06/28 13:41:07 - mmengine - INFO - Epoch(train) [69][2900/3757] lr: 1.000e-03 eta: 8:38:58 time: 0.577 data_time: 0.010 memory: 5148 grad_norm: 8.7809 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1432 loss: 1.1432 2022/06/28 13:41:12 - mmengine - INFO - Epoch(train) [69][2920/3757] lr: 1.000e-03 eta: 8:38:53 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 8.9600 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6073 loss: 1.6073 2022/06/28 13:41:18 - mmengine - INFO - Epoch(train) [69][2940/3757] lr: 1.000e-03 eta: 8:38:48 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 7.8772 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0232 loss: 1.0232 2022/06/28 13:41:23 - mmengine - INFO - Epoch(train) [69][2960/3757] lr: 1.000e-03 eta: 8:38:43 time: 0.606 data_time: 0.023 memory: 5148 grad_norm: 6.2592 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4580 loss: 1.4580 2022/06/28 13:41:28 - mmengine - INFO - Epoch(train) [69][2980/3757] lr: 1.000e-03 eta: 8:38:37 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 7.6315 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4125 loss: 1.4125 2022/06/28 13:41:34 - mmengine - INFO - Epoch(train) [69][3000/3757] lr: 1.000e-03 eta: 8:38:32 time: 0.194 data_time: 0.012 memory: 5148 grad_norm: 7.3214 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7625 loss: 1.7625 2022/06/28 13:41:39 - mmengine - INFO - Epoch(train) [69][3020/3757] lr: 1.000e-03 eta: 8:38:27 time: 0.791 data_time: 0.014 memory: 5148 grad_norm: 7.7172 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1297 loss: 1.1297 2022/06/28 13:41:44 - mmengine - INFO - Epoch(train) [69][3040/3757] lr: 1.000e-03 eta: 8:38:21 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 8.1401 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3494 loss: 1.3494 2022/06/28 13:41:50 - mmengine - INFO - Epoch(train) [69][3060/3757] lr: 1.000e-03 eta: 8:38:16 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 7.5319 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2800 loss: 1.2800 2022/06/28 13:41:55 - mmengine - INFO - Epoch(train) [69][3080/3757] lr: 1.000e-03 eta: 8:38:11 time: 1.146 data_time: 0.012 memory: 5148 grad_norm: 7.8750 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4011 loss: 1.4011 2022/06/28 13:42:00 - mmengine - INFO - Epoch(train) [69][3100/3757] lr: 1.000e-03 eta: 8:38:05 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 8.7015 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2952 loss: 1.2952 2022/06/28 13:42:06 - mmengine - INFO - Epoch(train) [69][3120/3757] lr: 1.000e-03 eta: 8:38:00 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 6.0863 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2617 loss: 1.2617 2022/06/28 13:42:11 - mmengine - INFO - Epoch(train) [69][3140/3757] lr: 1.000e-03 eta: 8:37:55 time: 0.223 data_time: 0.014 memory: 5148 grad_norm: 9.2328 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3336 loss: 1.3336 2022/06/28 13:42:16 - mmengine - INFO - Epoch(train) [69][3160/3757] lr: 1.000e-03 eta: 8:37:49 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 7.5306 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1858 loss: 1.1858 2022/06/28 13:42:22 - mmengine - INFO - Epoch(train) [69][3180/3757] lr: 1.000e-03 eta: 8:37:44 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 8.8203 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3663 loss: 1.3663 2022/06/28 13:42:27 - mmengine - INFO - Epoch(train) [69][3200/3757] lr: 1.000e-03 eta: 8:37:39 time: 1.194 data_time: 0.013 memory: 5148 grad_norm: 7.5526 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8018 loss: 0.8018 2022/06/28 13:42:32 - mmengine - INFO - Epoch(train) [69][3220/3757] lr: 1.000e-03 eta: 8:37:34 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 7.3725 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1726 loss: 1.1726 2022/06/28 13:42:38 - mmengine - INFO - Epoch(train) [69][3240/3757] lr: 1.000e-03 eta: 8:37:28 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 8.0056 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2722 loss: 1.2722 2022/06/28 13:42:43 - mmengine - INFO - Epoch(train) [69][3260/3757] lr: 1.000e-03 eta: 8:37:23 time: 0.939 data_time: 0.010 memory: 5148 grad_norm: 7.2102 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1939 loss: 1.1939 2022/06/28 13:42:48 - mmengine - INFO - Epoch(train) [69][3280/3757] lr: 1.000e-03 eta: 8:37:17 time: 0.199 data_time: 0.009 memory: 5148 grad_norm: 8.5347 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4056 loss: 1.4056 2022/06/28 13:42:53 - mmengine - INFO - Epoch(train) [69][3300/3757] lr: 1.000e-03 eta: 8:37:12 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 8.4571 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2784 loss: 1.2784 2022/06/28 13:42:59 - mmengine - INFO - Epoch(train) [69][3320/3757] lr: 1.000e-03 eta: 8:37:07 time: 0.903 data_time: 0.012 memory: 5148 grad_norm: 8.3616 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2966 loss: 1.2966 2022/06/28 13:43:04 - mmengine - INFO - Epoch(train) [69][3340/3757] lr: 1.000e-03 eta: 8:37:02 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 8.5062 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4102 loss: 1.4102 2022/06/28 13:43:10 - mmengine - INFO - Epoch(train) [69][3360/3757] lr: 1.000e-03 eta: 8:36:56 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 6.9718 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1881 loss: 1.1881 2022/06/28 13:43:15 - mmengine - INFO - Epoch(train) [69][3380/3757] lr: 1.000e-03 eta: 8:36:51 time: 0.631 data_time: 0.007 memory: 5148 grad_norm: 8.2346 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3751 loss: 1.3751 2022/06/28 13:43:20 - mmengine - INFO - Epoch(train) [69][3400/3757] lr: 1.000e-03 eta: 8:36:46 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 7.4350 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5511 loss: 1.5511 2022/06/28 13:43:25 - mmengine - INFO - Epoch(train) [69][3420/3757] lr: 1.000e-03 eta: 8:36:40 time: 0.219 data_time: 0.008 memory: 5148 grad_norm: 8.5284 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9877 loss: 0.9877 2022/06/28 13:43:31 - mmengine - INFO - Epoch(train) [69][3440/3757] lr: 1.000e-03 eta: 8:36:35 time: 0.219 data_time: 0.008 memory: 5148 grad_norm: 9.7788 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3998 loss: 1.3998 2022/06/28 13:43:36 - mmengine - INFO - Epoch(train) [69][3460/3757] lr: 1.000e-03 eta: 8:36:30 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 8.5656 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6624 loss: 1.6624 2022/06/28 13:43:41 - mmengine - INFO - Epoch(train) [69][3480/3757] lr: 1.000e-03 eta: 8:36:24 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 9.3809 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0568 loss: 1.0568 2022/06/28 13:43:47 - mmengine - INFO - Epoch(train) [69][3500/3757] lr: 1.000e-03 eta: 8:36:19 time: 0.210 data_time: 0.011 memory: 5148 grad_norm: 8.5006 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3097 loss: 1.3097 2022/06/28 13:43:52 - mmengine - INFO - Epoch(train) [69][3520/3757] lr: 1.000e-03 eta: 8:36:14 time: 0.203 data_time: 0.012 memory: 5148 grad_norm: 7.9268 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8725 loss: 1.8725 2022/06/28 13:43:53 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 13:43:57 - mmengine - INFO - Epoch(train) [69][3540/3757] lr: 1.000e-03 eta: 8:36:08 time: 0.209 data_time: 0.011 memory: 5148 grad_norm: 8.3150 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3871 loss: 1.3871 2022/06/28 13:44:02 - mmengine - INFO - Epoch(train) [69][3560/3757] lr: 1.000e-03 eta: 8:36:03 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 8.0915 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2143 loss: 1.2143 2022/06/28 13:44:08 - mmengine - INFO - Epoch(train) [69][3580/3757] lr: 1.000e-03 eta: 8:35:58 time: 0.214 data_time: 0.027 memory: 5148 grad_norm: 8.4948 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4595 loss: 1.4595 2022/06/28 13:44:13 - mmengine - INFO - Epoch(train) [69][3600/3757] lr: 1.000e-03 eta: 8:35:52 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 9.3923 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1295 loss: 1.1295 2022/06/28 13:44:18 - mmengine - INFO - Epoch(train) [69][3620/3757] lr: 1.000e-03 eta: 8:35:47 time: 0.257 data_time: 0.008 memory: 5148 grad_norm: 8.4086 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2266 loss: 1.2266 2022/06/28 13:44:24 - mmengine - INFO - Epoch(train) [69][3640/3757] lr: 1.000e-03 eta: 8:35:42 time: 0.219 data_time: 0.012 memory: 5148 grad_norm: 8.3435 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1616 loss: 1.1616 2022/06/28 13:44:29 - mmengine - INFO - Epoch(train) [69][3660/3757] lr: 1.000e-03 eta: 8:35:36 time: 0.228 data_time: 0.007 memory: 5148 grad_norm: 9.1207 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1409 loss: 1.1409 2022/06/28 13:44:34 - mmengine - INFO - Epoch(train) [69][3680/3757] lr: 1.000e-03 eta: 8:35:31 time: 0.220 data_time: 0.016 memory: 5148 grad_norm: 7.6003 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4654 loss: 1.4654 2022/06/28 13:44:39 - mmengine - INFO - Epoch(train) [69][3700/3757] lr: 1.000e-03 eta: 8:35:26 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 7.1133 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3262 loss: 1.3262 2022/06/28 13:44:44 - mmengine - INFO - Epoch(train) [69][3720/3757] lr: 1.000e-03 eta: 8:35:20 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 8.7035 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4239 loss: 1.4239 2022/06/28 13:44:50 - mmengine - INFO - Epoch(train) [69][3740/3757] lr: 1.000e-03 eta: 8:35:15 time: 0.230 data_time: 0.007 memory: 5148 grad_norm: 9.9888 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5928 loss: 1.5928 2022/06/28 13:44:53 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 13:45:00 - mmengine - INFO - Epoch(val) [69][20/310] eta: 0:01:14 time: 0.258 data_time: 0.186 memory: 5148 2022/06/28 13:45:05 - mmengine - INFO - Epoch(val) [69][40/310] eta: 0:01:04 time: 0.080 data_time: 0.008 memory: 1367 2022/06/28 13:45:10 - mmengine - INFO - Epoch(val) [69][60/310] eta: 0:00:53 time: 0.081 data_time: 0.005 memory: 1367 2022/06/28 13:45:15 - mmengine - INFO - Epoch(val) [69][80/310] eta: 0:00:56 time: 0.201 data_time: 0.129 memory: 1367 2022/06/28 13:45:21 - mmengine - INFO - Epoch(val) [69][100/310] eta: 0:00:43 time: 0.079 data_time: 0.008 memory: 1367 2022/06/28 13:45:25 - mmengine - INFO - Epoch(val) [69][120/310] eta: 0:00:47 time: 0.350 data_time: 0.275 memory: 1367 2022/06/28 13:45:32 - mmengine - INFO - Epoch(val) [69][140/310] eta: 0:00:51 time: 0.874 data_time: 0.802 memory: 1367 2022/06/28 13:45:36 - mmengine - INFO - Epoch(val) [69][160/310] eta: 0:00:33 time: 0.080 data_time: 0.008 memory: 1367 2022/06/28 13:45:42 - mmengine - INFO - Epoch(val) [69][180/310] eta: 0:00:49 time: 1.206 data_time: 1.134 memory: 1367 2022/06/28 13:45:47 - mmengine - INFO - Epoch(val) [69][200/310] eta: 0:00:26 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 13:45:53 - mmengine - INFO - Epoch(val) [69][220/310] eta: 0:00:32 time: 0.578 data_time: 0.505 memory: 1367 2022/06/28 13:45:57 - mmengine - INFO - Epoch(val) [69][240/310] eta: 0:00:14 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 13:46:03 - mmengine - INFO - Epoch(val) [69][260/310] eta: 0:00:17 time: 0.315 data_time: 0.241 memory: 1367 2022/06/28 13:46:08 - mmengine - INFO - Epoch(val) [69][280/310] eta: 0:00:06 time: 0.081 data_time: 0.005 memory: 1367 2022/06/28 13:46:13 - mmengine - INFO - Epoch(val) [69][300/310] eta: 0:00:03 time: 0.437 data_time: 0.365 memory: 1367 2022/06/28 13:46:16 - mmengine - INFO - Epoch(val) [69][310/310] acc/top1: 0.6537 acc/top5: 0.8553 acc/mean1: 0.6536 2022/06/28 13:46:24 - mmengine - INFO - Epoch(train) [70][20/3757] lr: 1.000e-03 eta: 8:35:06 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 10.2098 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1469 loss: 1.1469 2022/06/28 13:46:30 - mmengine - INFO - Epoch(train) [70][40/3757] lr: 1.000e-03 eta: 8:35:00 time: 0.207 data_time: 0.013 memory: 5148 grad_norm: 8.2948 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3192 loss: 1.3192 2022/06/28 13:46:35 - mmengine - INFO - Epoch(train) [70][60/3757] lr: 1.000e-03 eta: 8:34:55 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 8.0452 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9982 loss: 0.9982 2022/06/28 13:46:40 - mmengine - INFO - Epoch(train) [70][80/3757] lr: 1.000e-03 eta: 8:34:50 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 8.0542 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1000 loss: 1.1000 2022/06/28 13:46:46 - mmengine - INFO - Epoch(train) [70][100/3757] lr: 1.000e-03 eta: 8:34:44 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 9.1803 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.3312 loss: 1.3312 2022/06/28 13:46:51 - mmengine - INFO - Epoch(train) [70][120/3757] lr: 1.000e-03 eta: 8:34:39 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 8.9655 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1332 loss: 1.1332 2022/06/28 13:46:56 - mmengine - INFO - Epoch(train) [70][140/3757] lr: 1.000e-03 eta: 8:34:34 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 8.6512 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9800 loss: 0.9800 2022/06/28 13:47:02 - mmengine - INFO - Epoch(train) [70][160/3757] lr: 1.000e-03 eta: 8:34:28 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 6.9963 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0769 loss: 1.0769 2022/06/28 13:47:07 - mmengine - INFO - Epoch(train) [70][180/3757] lr: 1.000e-03 eta: 8:34:23 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 7.0118 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4697 loss: 1.4697 2022/06/28 13:47:12 - mmengine - INFO - Epoch(train) [70][200/3757] lr: 1.000e-03 eta: 8:34:18 time: 0.199 data_time: 0.012 memory: 5148 grad_norm: 7.8591 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8682 loss: 0.8682 2022/06/28 13:47:18 - mmengine - INFO - Epoch(train) [70][220/3757] lr: 1.000e-03 eta: 8:34:12 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 8.1559 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3106 loss: 1.3106 2022/06/28 13:47:23 - mmengine - INFO - Epoch(train) [70][240/3757] lr: 1.000e-03 eta: 8:34:07 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 8.8898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1054 loss: 1.1054 2022/06/28 13:47:28 - mmengine - INFO - Epoch(train) [70][260/3757] lr: 1.000e-03 eta: 8:34:02 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 8.6405 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3434 loss: 1.3434 2022/06/28 13:47:34 - mmengine - INFO - Epoch(train) [70][280/3757] lr: 1.000e-03 eta: 8:33:57 time: 0.212 data_time: 0.006 memory: 5148 grad_norm: 8.5762 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0952 loss: 1.0952 2022/06/28 13:47:39 - mmengine - INFO - Epoch(train) [70][300/3757] lr: 1.000e-03 eta: 8:33:51 time: 0.221 data_time: 0.008 memory: 5148 grad_norm: 7.8588 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2845 loss: 1.2845 2022/06/28 13:47:44 - mmengine - INFO - Epoch(train) [70][320/3757] lr: 1.000e-03 eta: 8:33:46 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 7.5250 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6057 loss: 1.6057 2022/06/28 13:47:49 - mmengine - INFO - Epoch(train) [70][340/3757] lr: 1.000e-03 eta: 8:33:41 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 7.1654 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2953 loss: 1.2953 2022/06/28 13:47:54 - mmengine - INFO - Epoch(train) [70][360/3757] lr: 1.000e-03 eta: 8:33:35 time: 0.200 data_time: 0.013 memory: 5148 grad_norm: 7.8128 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1916 loss: 1.1916 2022/06/28 13:48:00 - mmengine - INFO - Epoch(train) [70][380/3757] lr: 1.000e-03 eta: 8:33:30 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 7.0279 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4714 loss: 1.4714 2022/06/28 13:48:06 - mmengine - INFO - Epoch(train) [70][400/3757] lr: 1.000e-03 eta: 8:33:25 time: 0.202 data_time: 0.015 memory: 5148 grad_norm: 8.0917 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4660 loss: 1.4660 2022/06/28 13:48:10 - mmengine - INFO - Epoch(train) [70][420/3757] lr: 1.000e-03 eta: 8:33:19 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 8.3477 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1082 loss: 1.1082 2022/06/28 13:48:16 - mmengine - INFO - Epoch(train) [70][440/3757] lr: 1.000e-03 eta: 8:33:14 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 8.0710 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8977 loss: 1.8977 2022/06/28 13:48:22 - mmengine - INFO - Epoch(train) [70][460/3757] lr: 1.000e-03 eta: 8:33:09 time: 0.215 data_time: 0.026 memory: 5148 grad_norm: 7.2625 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1250 loss: 1.1250 2022/06/28 13:48:27 - mmengine - INFO - Epoch(train) [70][480/3757] lr: 1.000e-03 eta: 8:33:03 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 8.8657 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1055 loss: 1.1055 2022/06/28 13:48:32 - mmengine - INFO - Epoch(train) [70][500/3757] lr: 1.000e-03 eta: 8:32:58 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 8.7146 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1343 loss: 1.1343 2022/06/28 13:48:38 - mmengine - INFO - Epoch(train) [70][520/3757] lr: 1.000e-03 eta: 8:32:53 time: 0.216 data_time: 0.033 memory: 5148 grad_norm: 7.7189 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4957 loss: 1.4957 2022/06/28 13:48:43 - mmengine - INFO - Epoch(train) [70][540/3757] lr: 1.000e-03 eta: 8:32:47 time: 0.263 data_time: 0.011 memory: 5148 grad_norm: 8.4297 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2104 loss: 1.2104 2022/06/28 13:48:48 - mmengine - INFO - Epoch(train) [70][560/3757] lr: 1.000e-03 eta: 8:32:42 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 8.9503 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9898 loss: 0.9898 2022/06/28 13:48:54 - mmengine - INFO - Epoch(train) [70][580/3757] lr: 1.000e-03 eta: 8:32:37 time: 0.205 data_time: 0.025 memory: 5148 grad_norm: 7.5200 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3664 loss: 1.3664 2022/06/28 13:48:59 - mmengine - INFO - Epoch(train) [70][600/3757] lr: 1.000e-03 eta: 8:32:31 time: 0.202 data_time: 0.013 memory: 5148 grad_norm: 7.4153 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2612 loss: 1.2612 2022/06/28 13:49:04 - mmengine - INFO - Epoch(train) [70][620/3757] lr: 1.000e-03 eta: 8:32:26 time: 0.222 data_time: 0.017 memory: 5148 grad_norm: 6.4989 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4200 loss: 1.4200 2022/06/28 13:49:10 - mmengine - INFO - Epoch(train) [70][640/3757] lr: 1.000e-03 eta: 8:32:21 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 6.8678 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1844 loss: 1.1844 2022/06/28 13:49:15 - mmengine - INFO - Epoch(train) [70][660/3757] lr: 1.000e-03 eta: 8:32:16 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 5.7729 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8978 loss: 0.8978 2022/06/28 13:49:19 - mmengine - INFO - Epoch(train) [70][680/3757] lr: 1.000e-03 eta: 8:32:10 time: 0.208 data_time: 0.013 memory: 5148 grad_norm: 7.5433 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3223 loss: 1.3223 2022/06/28 13:49:24 - mmengine - INFO - Epoch(train) [70][700/3757] lr: 1.000e-03 eta: 8:32:04 time: 0.210 data_time: 0.011 memory: 5148 grad_norm: 9.2102 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2255 loss: 1.2255 2022/06/28 13:49:29 - mmengine - INFO - Epoch(train) [70][720/3757] lr: 1.000e-03 eta: 8:31:59 time: 0.220 data_time: 0.033 memory: 5148 grad_norm: 8.1771 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2025 loss: 1.2025 2022/06/28 13:49:35 - mmengine - INFO - Epoch(train) [70][740/3757] lr: 1.000e-03 eta: 8:31:54 time: 0.215 data_time: 0.016 memory: 5148 grad_norm: 7.5386 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6121 loss: 1.6121 2022/06/28 13:49:41 - mmengine - INFO - Epoch(train) [70][760/3757] lr: 1.000e-03 eta: 8:31:49 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 7.9666 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1836 loss: 1.1836 2022/06/28 13:49:42 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 13:49:46 - mmengine - INFO - Epoch(train) [70][780/3757] lr: 1.000e-03 eta: 8:31:43 time: 0.196 data_time: 0.015 memory: 5148 grad_norm: 8.9002 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2293 loss: 1.2293 2022/06/28 13:49:51 - mmengine - INFO - Epoch(train) [70][800/3757] lr: 1.000e-03 eta: 8:31:38 time: 0.209 data_time: 0.018 memory: 5148 grad_norm: 7.2773 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4015 loss: 1.4015 2022/06/28 13:49:57 - mmengine - INFO - Epoch(train) [70][820/3757] lr: 1.000e-03 eta: 8:31:33 time: 0.214 data_time: 0.011 memory: 5148 grad_norm: 10.8545 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7003 loss: 1.7003 2022/06/28 13:50:02 - mmengine - INFO - Epoch(train) [70][840/3757] lr: 1.000e-03 eta: 8:31:27 time: 0.199 data_time: 0.020 memory: 5148 grad_norm: 8.3648 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9933 loss: 0.9933 2022/06/28 13:50:08 - mmengine - INFO - Epoch(train) [70][860/3757] lr: 1.000e-03 eta: 8:31:22 time: 0.214 data_time: 0.024 memory: 5148 grad_norm: 8.0798 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2623 loss: 1.2623 2022/06/28 13:50:13 - mmengine - INFO - Epoch(train) [70][880/3757] lr: 1.000e-03 eta: 8:31:17 time: 0.194 data_time: 0.011 memory: 5148 grad_norm: 8.5442 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4979 loss: 1.4979 2022/06/28 13:50:18 - mmengine - INFO - Epoch(train) [70][900/3757] lr: 1.000e-03 eta: 8:31:12 time: 0.205 data_time: 0.016 memory: 5148 grad_norm: 6.8792 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1719 loss: 1.1719 2022/06/28 13:50:24 - mmengine - INFO - Epoch(train) [70][920/3757] lr: 1.000e-03 eta: 8:31:06 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 7.9351 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3586 loss: 1.3586 2022/06/28 13:50:29 - mmengine - INFO - Epoch(train) [70][940/3757] lr: 1.000e-03 eta: 8:31:01 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 7.5898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1848 loss: 1.1848 2022/06/28 13:50:35 - mmengine - INFO - Epoch(train) [70][960/3757] lr: 1.000e-03 eta: 8:30:56 time: 0.221 data_time: 0.035 memory: 5148 grad_norm: 8.4572 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2286 loss: 1.2286 2022/06/28 13:50:39 - mmengine - INFO - Epoch(train) [70][980/3757] lr: 1.000e-03 eta: 8:30:50 time: 0.234 data_time: 0.037 memory: 5148 grad_norm: 8.4027 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.2673 loss: 1.2673 2022/06/28 13:50:45 - mmengine - INFO - Epoch(train) [70][1000/3757] lr: 1.000e-03 eta: 8:30:45 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 7.5439 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9093 loss: 0.9093 2022/06/28 13:50:50 - mmengine - INFO - Epoch(train) [70][1020/3757] lr: 1.000e-03 eta: 8:30:40 time: 0.493 data_time: 0.010 memory: 5148 grad_norm: 6.5383 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2915 loss: 1.2915 2022/06/28 13:50:55 - mmengine - INFO - Epoch(train) [70][1040/3757] lr: 1.000e-03 eta: 8:30:34 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 6.8078 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1638 loss: 1.1638 2022/06/28 13:51:01 - mmengine - INFO - Epoch(train) [70][1060/3757] lr: 1.000e-03 eta: 8:30:29 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 8.8650 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4109 loss: 1.4109 2022/06/28 13:51:06 - mmengine - INFO - Epoch(train) [70][1080/3757] lr: 1.000e-03 eta: 8:30:24 time: 0.303 data_time: 0.010 memory: 5148 grad_norm: 8.1519 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2906 loss: 1.2906 2022/06/28 13:51:11 - mmengine - INFO - Epoch(train) [70][1100/3757] lr: 1.000e-03 eta: 8:30:19 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 7.9031 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0803 loss: 1.0803 2022/06/28 13:51:17 - mmengine - INFO - Epoch(train) [70][1120/3757] lr: 1.000e-03 eta: 8:30:13 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 8.3728 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3659 loss: 1.3659 2022/06/28 13:51:22 - mmengine - INFO - Epoch(train) [70][1140/3757] lr: 1.000e-03 eta: 8:30:08 time: 0.204 data_time: 0.014 memory: 5148 grad_norm: 9.0577 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5523 loss: 1.5523 2022/06/28 13:51:28 - mmengine - INFO - Epoch(train) [70][1160/3757] lr: 1.000e-03 eta: 8:30:03 time: 0.210 data_time: 0.012 memory: 5148 grad_norm: 7.2579 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2477 loss: 1.2477 2022/06/28 13:51:32 - mmengine - INFO - Epoch(train) [70][1180/3757] lr: 1.000e-03 eta: 8:29:57 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 7.3212 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4665 loss: 1.4665 2022/06/28 13:51:38 - mmengine - INFO - Epoch(train) [70][1200/3757] lr: 1.000e-03 eta: 8:29:52 time: 0.627 data_time: 0.008 memory: 5148 grad_norm: 8.5487 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5888 loss: 1.5888 2022/06/28 13:51:43 - mmengine - INFO - Epoch(train) [70][1220/3757] lr: 1.000e-03 eta: 8:29:47 time: 0.220 data_time: 0.013 memory: 5148 grad_norm: 8.1107 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2968 loss: 1.2968 2022/06/28 13:51:49 - mmengine - INFO - Epoch(train) [70][1240/3757] lr: 1.000e-03 eta: 8:29:42 time: 0.196 data_time: 0.012 memory: 5148 grad_norm: 9.1001 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4552 loss: 1.4552 2022/06/28 13:51:54 - mmengine - INFO - Epoch(train) [70][1260/3757] lr: 1.000e-03 eta: 8:29:36 time: 0.430 data_time: 0.007 memory: 5148 grad_norm: 9.4442 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3099 loss: 1.3099 2022/06/28 13:52:00 - mmengine - INFO - Epoch(train) [70][1280/3757] lr: 1.000e-03 eta: 8:29:31 time: 0.204 data_time: 0.013 memory: 5148 grad_norm: 7.4411 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2283 loss: 1.2283 2022/06/28 13:52:05 - mmengine - INFO - Epoch(train) [70][1300/3757] lr: 1.000e-03 eta: 8:29:26 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 9.4697 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6187 loss: 1.6187 2022/06/28 13:52:11 - mmengine - INFO - Epoch(train) [70][1320/3757] lr: 1.000e-03 eta: 8:29:20 time: 0.491 data_time: 0.009 memory: 5148 grad_norm: 7.1103 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9375 loss: 1.9375 2022/06/28 13:52:16 - mmengine - INFO - Epoch(train) [70][1340/3757] lr: 1.000e-03 eta: 8:29:15 time: 0.206 data_time: 0.012 memory: 5148 grad_norm: 5.9146 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3011 loss: 1.3011 2022/06/28 13:52:21 - mmengine - INFO - Epoch(train) [70][1360/3757] lr: 1.000e-03 eta: 8:29:10 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 7.7507 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3186 loss: 1.3186 2022/06/28 13:52:27 - mmengine - INFO - Epoch(train) [70][1380/3757] lr: 1.000e-03 eta: 8:29:05 time: 0.888 data_time: 0.010 memory: 5148 grad_norm: 8.7157 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2603 loss: 1.2603 2022/06/28 13:52:32 - mmengine - INFO - Epoch(train) [70][1400/3757] lr: 1.000e-03 eta: 8:28:59 time: 0.218 data_time: 0.007 memory: 5148 grad_norm: 7.4361 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9945 loss: 0.9945 2022/06/28 13:52:37 - mmengine - INFO - Epoch(train) [70][1420/3757] lr: 1.000e-03 eta: 8:28:54 time: 0.209 data_time: 0.018 memory: 5148 grad_norm: 9.0741 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4341 loss: 1.4341 2022/06/28 13:52:42 - mmengine - INFO - Epoch(train) [70][1440/3757] lr: 1.000e-03 eta: 8:28:49 time: 0.201 data_time: 0.015 memory: 5148 grad_norm: 7.6436 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1426 loss: 1.1426 2022/06/28 13:52:48 - mmengine - INFO - Epoch(train) [70][1460/3757] lr: 1.000e-03 eta: 8:28:43 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 7.8658 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3010 loss: 1.3010 2022/06/28 13:52:53 - mmengine - INFO - Epoch(train) [70][1480/3757] lr: 1.000e-03 eta: 8:28:38 time: 0.195 data_time: 0.009 memory: 5148 grad_norm: 7.9657 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0962 loss: 1.0962 2022/06/28 13:52:58 - mmengine - INFO - Epoch(train) [70][1500/3757] lr: 1.000e-03 eta: 8:28:33 time: 0.588 data_time: 0.008 memory: 5148 grad_norm: 9.2179 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0997 loss: 1.0997 2022/06/28 13:53:04 - mmengine - INFO - Epoch(train) [70][1520/3757] lr: 1.000e-03 eta: 8:28:27 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 8.0329 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3937 loss: 1.3937 2022/06/28 13:53:09 - mmengine - INFO - Epoch(train) [70][1540/3757] lr: 1.000e-03 eta: 8:28:22 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 7.8884 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7135 loss: 1.7135 2022/06/28 13:53:15 - mmengine - INFO - Epoch(train) [70][1560/3757] lr: 1.000e-03 eta: 8:28:17 time: 0.862 data_time: 0.007 memory: 5148 grad_norm: 9.3783 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1055 loss: 1.1055 2022/06/28 13:53:20 - mmengine - INFO - Epoch(train) [70][1580/3757] lr: 1.000e-03 eta: 8:28:12 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 7.4518 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6241 loss: 1.6241 2022/06/28 13:53:25 - mmengine - INFO - Epoch(train) [70][1600/3757] lr: 1.000e-03 eta: 8:28:06 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 7.7971 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0896 loss: 1.0896 2022/06/28 13:53:30 - mmengine - INFO - Epoch(train) [70][1620/3757] lr: 1.000e-03 eta: 8:28:01 time: 0.617 data_time: 0.006 memory: 5148 grad_norm: 7.3800 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1667 loss: 1.1667 2022/06/28 13:53:36 - mmengine - INFO - Epoch(train) [70][1640/3757] lr: 1.000e-03 eta: 8:27:56 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 8.9448 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0097 loss: 1.0097 2022/06/28 13:53:41 - mmengine - INFO - Epoch(train) [70][1660/3757] lr: 1.000e-03 eta: 8:27:50 time: 0.211 data_time: 0.006 memory: 5148 grad_norm: 8.1051 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4365 loss: 1.4365 2022/06/28 13:53:46 - mmengine - INFO - Epoch(train) [70][1680/3757] lr: 1.000e-03 eta: 8:27:45 time: 0.638 data_time: 0.010 memory: 5148 grad_norm: 8.4115 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4987 loss: 1.4987 2022/06/28 13:53:51 - mmengine - INFO - Epoch(train) [70][1700/3757] lr: 1.000e-03 eta: 8:27:40 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 8.9977 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3792 loss: 1.3792 2022/06/28 13:53:57 - mmengine - INFO - Epoch(train) [70][1720/3757] lr: 1.000e-03 eta: 8:27:34 time: 0.233 data_time: 0.007 memory: 5148 grad_norm: 6.1247 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2175 loss: 1.2175 2022/06/28 13:54:02 - mmengine - INFO - Epoch(train) [70][1740/3757] lr: 1.000e-03 eta: 8:27:29 time: 0.634 data_time: 0.011 memory: 5148 grad_norm: 9.0720 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0166 loss: 1.0166 2022/06/28 13:54:07 - mmengine - INFO - Epoch(train) [70][1760/3757] lr: 1.000e-03 eta: 8:27:23 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 9.1773 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1316 loss: 1.1316 2022/06/28 13:54:09 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 13:54:13 - mmengine - INFO - Epoch(train) [70][1780/3757] lr: 1.000e-03 eta: 8:27:18 time: 0.204 data_time: 0.015 memory: 5148 grad_norm: 7.1669 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2151 loss: 1.2151 2022/06/28 13:54:19 - mmengine - INFO - Epoch(train) [70][1800/3757] lr: 1.000e-03 eta: 8:27:13 time: 1.343 data_time: 0.010 memory: 5148 grad_norm: 9.6173 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3552 loss: 1.3552 2022/06/28 13:54:23 - mmengine - INFO - Epoch(train) [70][1820/3757] lr: 1.000e-03 eta: 8:27:08 time: 0.196 data_time: 0.009 memory: 5148 grad_norm: 7.9376 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3458 loss: 1.3458 2022/06/28 13:54:27 - mmengine - INFO - Epoch(train) [70][1840/3757] lr: 1.000e-03 eta: 8:27:02 time: 0.200 data_time: 0.012 memory: 5148 grad_norm: 7.8812 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1946 loss: 1.1946 2022/06/28 13:54:33 - mmengine - INFO - Epoch(train) [70][1860/3757] lr: 1.000e-03 eta: 8:26:56 time: 0.568 data_time: 0.013 memory: 5148 grad_norm: 7.9642 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5079 loss: 1.5079 2022/06/28 13:54:38 - mmengine - INFO - Epoch(train) [70][1880/3757] lr: 1.000e-03 eta: 8:26:51 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 8.3940 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4101 loss: 1.4101 2022/06/28 13:54:44 - mmengine - INFO - Epoch(train) [70][1900/3757] lr: 1.000e-03 eta: 8:26:46 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 9.0041 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.5334 loss: 1.5334 2022/06/28 13:54:49 - mmengine - INFO - Epoch(train) [70][1920/3757] lr: 1.000e-03 eta: 8:26:41 time: 0.237 data_time: 0.008 memory: 5148 grad_norm: 7.2870 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0014 loss: 1.0014 2022/06/28 13:54:54 - mmengine - INFO - Epoch(train) [70][1940/3757] lr: 1.000e-03 eta: 8:26:35 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 9.0276 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3055 loss: 1.3055 2022/06/28 13:55:00 - mmengine - INFO - Epoch(train) [70][1960/3757] lr: 1.000e-03 eta: 8:26:30 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.5214 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1856 loss: 1.1856 2022/06/28 13:55:05 - mmengine - INFO - Epoch(train) [70][1980/3757] lr: 1.000e-03 eta: 8:26:25 time: 0.365 data_time: 0.017 memory: 5148 grad_norm: 9.0674 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4050 loss: 1.4050 2022/06/28 13:55:11 - mmengine - INFO - Epoch(train) [70][2000/3757] lr: 1.000e-03 eta: 8:26:20 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 8.1452 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3461 loss: 1.3461 2022/06/28 13:55:16 - mmengine - INFO - Epoch(train) [70][2020/3757] lr: 1.000e-03 eta: 8:26:14 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 10.3836 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9112 loss: 0.9112 2022/06/28 13:55:21 - mmengine - INFO - Epoch(train) [70][2040/3757] lr: 1.000e-03 eta: 8:26:09 time: 0.210 data_time: 0.022 memory: 5148 grad_norm: 8.2293 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1892 loss: 1.1892 2022/06/28 13:55:27 - mmengine - INFO - Epoch(train) [70][2060/3757] lr: 1.000e-03 eta: 8:26:04 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 7.3422 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0537 loss: 1.0537 2022/06/28 13:55:32 - mmengine - INFO - Epoch(train) [70][2080/3757] lr: 1.000e-03 eta: 8:25:59 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 8.5710 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2354 loss: 1.2354 2022/06/28 13:55:38 - mmengine - INFO - Epoch(train) [70][2100/3757] lr: 1.000e-03 eta: 8:25:53 time: 0.217 data_time: 0.014 memory: 5148 grad_norm: 9.7196 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2446 loss: 1.2446 2022/06/28 13:55:43 - mmengine - INFO - Epoch(train) [70][2120/3757] lr: 1.000e-03 eta: 8:25:48 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 8.0475 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4469 loss: 1.4469 2022/06/28 13:55:48 - mmengine - INFO - Epoch(train) [70][2140/3757] lr: 1.000e-03 eta: 8:25:42 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 8.8910 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.3099 loss: 1.3099 2022/06/28 13:55:54 - mmengine - INFO - Epoch(train) [70][2160/3757] lr: 1.000e-03 eta: 8:25:38 time: 0.214 data_time: 0.013 memory: 5148 grad_norm: 8.8186 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0635 loss: 1.0635 2022/06/28 13:55:58 - mmengine - INFO - Epoch(train) [70][2180/3757] lr: 1.000e-03 eta: 8:25:32 time: 0.220 data_time: 0.010 memory: 5148 grad_norm: 7.5238 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3168 loss: 1.3168 2022/06/28 13:56:04 - mmengine - INFO - Epoch(train) [70][2200/3757] lr: 1.000e-03 eta: 8:25:26 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 8.0819 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2143 loss: 1.2143 2022/06/28 13:56:09 - mmengine - INFO - Epoch(train) [70][2220/3757] lr: 1.000e-03 eta: 8:25:21 time: 0.537 data_time: 0.011 memory: 5148 grad_norm: 7.9612 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5360 loss: 1.5360 2022/06/28 13:56:15 - mmengine - INFO - Epoch(train) [70][2240/3757] lr: 1.000e-03 eta: 8:25:16 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 9.6409 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5591 loss: 1.5591 2022/06/28 13:56:20 - mmengine - INFO - Epoch(train) [70][2260/3757] lr: 1.000e-03 eta: 8:25:11 time: 0.219 data_time: 0.008 memory: 5148 grad_norm: 8.4132 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2352 loss: 1.2352 2022/06/28 13:56:25 - mmengine - INFO - Epoch(train) [70][2280/3757] lr: 1.000e-03 eta: 8:25:05 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 9.0172 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1407 loss: 1.1407 2022/06/28 13:56:30 - mmengine - INFO - Epoch(train) [70][2300/3757] lr: 1.000e-03 eta: 8:25:00 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 8.6276 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9303 loss: 0.9303 2022/06/28 13:56:36 - mmengine - INFO - Epoch(train) [70][2320/3757] lr: 1.000e-03 eta: 8:24:55 time: 0.214 data_time: 0.013 memory: 5148 grad_norm: 8.6475 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3363 loss: 1.3363 2022/06/28 13:56:41 - mmengine - INFO - Epoch(train) [70][2340/3757] lr: 1.000e-03 eta: 8:24:49 time: 0.581 data_time: 0.007 memory: 5148 grad_norm: 7.6969 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6255 loss: 1.6255 2022/06/28 13:56:47 - mmengine - INFO - Epoch(train) [70][2360/3757] lr: 1.000e-03 eta: 8:24:44 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 7.8150 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0871 loss: 1.0871 2022/06/28 13:56:52 - mmengine - INFO - Epoch(train) [70][2380/3757] lr: 1.000e-03 eta: 8:24:39 time: 0.687 data_time: 0.011 memory: 5148 grad_norm: 7.2366 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2099 loss: 1.2099 2022/06/28 13:56:57 - mmengine - INFO - Epoch(train) [70][2400/3757] lr: 1.000e-03 eta: 8:24:33 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 7.7301 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6381 loss: 1.6381 2022/06/28 13:57:03 - mmengine - INFO - Epoch(train) [70][2420/3757] lr: 1.000e-03 eta: 8:24:28 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 8.4270 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4815 loss: 1.4815 2022/06/28 13:57:08 - mmengine - INFO - Epoch(train) [70][2440/3757] lr: 1.000e-03 eta: 8:24:23 time: 0.219 data_time: 0.007 memory: 5148 grad_norm: 7.8942 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3320 loss: 1.3320 2022/06/28 13:57:13 - mmengine - INFO - Epoch(train) [70][2460/3757] lr: 1.000e-03 eta: 8:24:18 time: 0.446 data_time: 0.009 memory: 5148 grad_norm: 7.6972 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4763 loss: 1.4763 2022/06/28 13:57:18 - mmengine - INFO - Epoch(train) [70][2480/3757] lr: 1.000e-03 eta: 8:24:12 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 8.3556 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2699 loss: 1.2699 2022/06/28 13:57:24 - mmengine - INFO - Epoch(train) [70][2500/3757] lr: 1.000e-03 eta: 8:24:07 time: 0.223 data_time: 0.016 memory: 5148 grad_norm: 7.1110 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2237 loss: 1.2237 2022/06/28 13:57:29 - mmengine - INFO - Epoch(train) [70][2520/3757] lr: 1.000e-03 eta: 8:24:02 time: 0.220 data_time: 0.006 memory: 5148 grad_norm: 8.4500 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2699 loss: 1.2699 2022/06/28 13:57:34 - mmengine - INFO - Epoch(train) [70][2540/3757] lr: 1.000e-03 eta: 8:23:56 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 7.5819 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4456 loss: 1.4456 2022/06/28 13:57:40 - mmengine - INFO - Epoch(train) [70][2560/3757] lr: 1.000e-03 eta: 8:23:51 time: 0.319 data_time: 0.013 memory: 5148 grad_norm: 10.0969 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3550 loss: 1.3550 2022/06/28 13:57:45 - mmengine - INFO - Epoch(train) [70][2580/3757] lr: 1.000e-03 eta: 8:23:46 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 6.9966 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4022 loss: 1.4022 2022/06/28 13:57:50 - mmengine - INFO - Epoch(train) [70][2600/3757] lr: 1.000e-03 eta: 8:23:40 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 8.1680 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1260 loss: 1.1260 2022/06/28 13:57:56 - mmengine - INFO - Epoch(train) [70][2620/3757] lr: 1.000e-03 eta: 8:23:35 time: 0.215 data_time: 0.022 memory: 5148 grad_norm: 9.6594 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8943 loss: 0.8943 2022/06/28 13:58:01 - mmengine - INFO - Epoch(train) [70][2640/3757] lr: 1.000e-03 eta: 8:23:30 time: 0.620 data_time: 0.007 memory: 5148 grad_norm: 7.2873 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0182 loss: 1.0182 2022/06/28 13:58:06 - mmengine - INFO - Epoch(train) [70][2660/3757] lr: 1.000e-03 eta: 8:23:24 time: 0.200 data_time: 0.012 memory: 5148 grad_norm: 9.0982 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1189 loss: 1.1189 2022/06/28 13:58:11 - mmengine - INFO - Epoch(train) [70][2680/3757] lr: 1.000e-03 eta: 8:23:19 time: 0.227 data_time: 0.025 memory: 5148 grad_norm: 7.3255 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3005 loss: 1.3005 2022/06/28 13:58:17 - mmengine - INFO - Epoch(train) [70][2700/3757] lr: 1.000e-03 eta: 8:23:14 time: 0.933 data_time: 0.010 memory: 5148 grad_norm: 7.7538 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0863 loss: 1.0863 2022/06/28 13:58:22 - mmengine - INFO - Epoch(train) [70][2720/3757] lr: 1.000e-03 eta: 8:23:08 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 8.6451 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3772 loss: 1.3772 2022/06/28 13:58:27 - mmengine - INFO - Epoch(train) [70][2740/3757] lr: 1.000e-03 eta: 8:23:03 time: 0.213 data_time: 0.016 memory: 5148 grad_norm: 9.1113 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3303 loss: 1.3303 2022/06/28 13:58:32 - mmengine - INFO - Epoch(train) [70][2760/3757] lr: 1.000e-03 eta: 8:22:58 time: 0.825 data_time: 0.014 memory: 5148 grad_norm: 8.7172 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5852 loss: 1.5852 2022/06/28 13:58:34 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 13:58:37 - mmengine - INFO - Epoch(train) [70][2780/3757] lr: 1.000e-03 eta: 8:22:52 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 8.9082 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3992 loss: 1.3992 2022/06/28 13:58:43 - mmengine - INFO - Epoch(train) [70][2800/3757] lr: 1.000e-03 eta: 8:22:47 time: 0.218 data_time: 0.013 memory: 5148 grad_norm: 7.6795 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3080 loss: 1.3080 2022/06/28 13:58:48 - mmengine - INFO - Epoch(train) [70][2820/3757] lr: 1.000e-03 eta: 8:22:42 time: 0.746 data_time: 0.007 memory: 5148 grad_norm: 8.3885 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1489 loss: 1.1489 2022/06/28 13:58:53 - mmengine - INFO - Epoch(train) [70][2840/3757] lr: 1.000e-03 eta: 8:22:36 time: 0.199 data_time: 0.014 memory: 5148 grad_norm: 7.6836 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9190 loss: 0.9190 2022/06/28 13:58:59 - mmengine - INFO - Epoch(train) [70][2860/3757] lr: 1.000e-03 eta: 8:22:31 time: 0.223 data_time: 0.011 memory: 5148 grad_norm: 8.1223 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2888 loss: 1.2888 2022/06/28 13:59:04 - mmengine - INFO - Epoch(train) [70][2880/3757] lr: 1.000e-03 eta: 8:22:26 time: 1.077 data_time: 0.007 memory: 5148 grad_norm: 8.2626 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3292 loss: 1.3292 2022/06/28 13:59:09 - mmengine - INFO - Epoch(train) [70][2900/3757] lr: 1.000e-03 eta: 8:22:20 time: 0.219 data_time: 0.011 memory: 5148 grad_norm: 8.6243 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2978 loss: 1.2978 2022/06/28 13:59:14 - mmengine - INFO - Epoch(train) [70][2920/3757] lr: 1.000e-03 eta: 8:22:15 time: 0.543 data_time: 0.007 memory: 5148 grad_norm: 9.3687 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1995 loss: 1.1995 2022/06/28 13:59:19 - mmengine - INFO - Epoch(train) [70][2940/3757] lr: 1.000e-03 eta: 8:22:09 time: 0.209 data_time: 0.006 memory: 5148 grad_norm: 7.9943 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4096 loss: 1.4096 2022/06/28 13:59:25 - mmengine - INFO - Epoch(train) [70][2960/3757] lr: 1.000e-03 eta: 8:22:04 time: 0.203 data_time: 0.014 memory: 5148 grad_norm: 7.2722 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2078 loss: 1.2078 2022/06/28 13:59:31 - mmengine - INFO - Epoch(train) [70][2980/3757] lr: 1.000e-03 eta: 8:21:59 time: 0.357 data_time: 0.007 memory: 5148 grad_norm: 9.3988 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4381 loss: 1.4381 2022/06/28 13:59:36 - mmengine - INFO - Epoch(train) [70][3000/3757] lr: 1.000e-03 eta: 8:21:54 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 8.4895 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3987 loss: 1.3987 2022/06/28 13:59:41 - mmengine - INFO - Epoch(train) [70][3020/3757] lr: 1.000e-03 eta: 8:21:48 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 7.7904 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1637 loss: 1.1637 2022/06/28 13:59:47 - mmengine - INFO - Epoch(train) [70][3040/3757] lr: 1.000e-03 eta: 8:21:43 time: 1.052 data_time: 0.007 memory: 5148 grad_norm: 7.1891 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8784 loss: 0.8784 2022/06/28 13:59:52 - mmengine - INFO - Epoch(train) [70][3060/3757] lr: 1.000e-03 eta: 8:21:38 time: 0.245 data_time: 0.010 memory: 5148 grad_norm: 8.2512 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4610 loss: 1.4610 2022/06/28 13:59:57 - mmengine - INFO - Epoch(train) [70][3080/3757] lr: 1.000e-03 eta: 8:21:32 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 7.9594 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4245 loss: 1.4245 2022/06/28 14:00:03 - mmengine - INFO - Epoch(train) [70][3100/3757] lr: 1.000e-03 eta: 8:21:27 time: 1.186 data_time: 0.008 memory: 5148 grad_norm: 8.6776 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8521 loss: 0.8521 2022/06/28 14:00:08 - mmengine - INFO - Epoch(train) [70][3120/3757] lr: 1.000e-03 eta: 8:21:22 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 8.7522 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2420 loss: 1.2420 2022/06/28 14:00:13 - mmengine - INFO - Epoch(train) [70][3140/3757] lr: 1.000e-03 eta: 8:21:17 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 9.5226 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8430 loss: 1.8430 2022/06/28 14:00:19 - mmengine - INFO - Epoch(train) [70][3160/3757] lr: 1.000e-03 eta: 8:21:12 time: 1.086 data_time: 0.007 memory: 5148 grad_norm: 7.5886 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1894 loss: 1.1894 2022/06/28 14:00:24 - mmengine - INFO - Epoch(train) [70][3180/3757] lr: 1.000e-03 eta: 8:21:06 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 7.3866 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3291 loss: 1.3291 2022/06/28 14:00:29 - mmengine - INFO - Epoch(train) [70][3200/3757] lr: 1.000e-03 eta: 8:21:01 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 7.6840 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4157 loss: 1.4157 2022/06/28 14:00:34 - mmengine - INFO - Epoch(train) [70][3220/3757] lr: 1.000e-03 eta: 8:20:55 time: 0.217 data_time: 0.008 memory: 5148 grad_norm: 6.5227 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0379 loss: 1.0379 2022/06/28 14:00:41 - mmengine - INFO - Epoch(train) [70][3240/3757] lr: 1.000e-03 eta: 8:20:50 time: 1.241 data_time: 0.008 memory: 5148 grad_norm: 8.6616 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2648 loss: 1.2648 2022/06/28 14:00:45 - mmengine - INFO - Epoch(train) [70][3260/3757] lr: 1.000e-03 eta: 8:20:45 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 8.4199 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2421 loss: 1.2421 2022/06/28 14:00:50 - mmengine - INFO - Epoch(train) [70][3280/3757] lr: 1.000e-03 eta: 8:20:39 time: 0.477 data_time: 0.008 memory: 5148 grad_norm: 7.9049 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2957 loss: 1.2957 2022/06/28 14:00:56 - mmengine - INFO - Epoch(train) [70][3300/3757] lr: 1.000e-03 eta: 8:20:34 time: 0.755 data_time: 0.007 memory: 5148 grad_norm: 8.2744 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4237 loss: 1.4237 2022/06/28 14:01:01 - mmengine - INFO - Epoch(train) [70][3320/3757] lr: 1.000e-03 eta: 8:20:29 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 8.4570 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2316 loss: 1.2316 2022/06/28 14:01:06 - mmengine - INFO - Epoch(train) [70][3340/3757] lr: 1.000e-03 eta: 8:20:23 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 9.2198 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5047 loss: 1.5047 2022/06/28 14:01:12 - mmengine - INFO - Epoch(train) [70][3360/3757] lr: 1.000e-03 eta: 8:20:18 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 8.1499 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4337 loss: 1.4337 2022/06/28 14:01:17 - mmengine - INFO - Epoch(train) [70][3380/3757] lr: 1.000e-03 eta: 8:20:13 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 8.9718 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3561 loss: 1.3561 2022/06/28 14:01:22 - mmengine - INFO - Epoch(train) [70][3400/3757] lr: 1.000e-03 eta: 8:20:07 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 8.3172 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4008 loss: 1.4008 2022/06/28 14:01:27 - mmengine - INFO - Epoch(train) [70][3420/3757] lr: 1.000e-03 eta: 8:20:02 time: 0.210 data_time: 0.010 memory: 5148 grad_norm: 9.1487 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5183 loss: 1.5183 2022/06/28 14:01:33 - mmengine - INFO - Epoch(train) [70][3440/3757] lr: 1.000e-03 eta: 8:19:57 time: 0.223 data_time: 0.006 memory: 5148 grad_norm: 7.6190 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3164 loss: 1.3164 2022/06/28 14:01:38 - mmengine - INFO - Epoch(train) [70][3460/3757] lr: 1.000e-03 eta: 8:19:51 time: 0.198 data_time: 0.013 memory: 5148 grad_norm: 7.6722 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0289 loss: 1.0289 2022/06/28 14:01:44 - mmengine - INFO - Epoch(train) [70][3480/3757] lr: 1.000e-03 eta: 8:19:46 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 8.2482 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0327 loss: 1.0327 2022/06/28 14:01:49 - mmengine - INFO - Epoch(train) [70][3500/3757] lr: 1.000e-03 eta: 8:19:41 time: 0.227 data_time: 0.011 memory: 5148 grad_norm: 7.8820 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1862 loss: 1.1862 2022/06/28 14:01:53 - mmengine - INFO - Epoch(train) [70][3520/3757] lr: 1.000e-03 eta: 8:19:35 time: 0.207 data_time: 0.006 memory: 5148 grad_norm: 8.2756 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5220 loss: 1.5220 2022/06/28 14:01:59 - mmengine - INFO - Epoch(train) [70][3540/3757] lr: 1.000e-03 eta: 8:19:30 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 7.7995 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4572 loss: 1.4572 2022/06/28 14:02:04 - mmengine - INFO - Epoch(train) [70][3560/3757] lr: 1.000e-03 eta: 8:19:25 time: 0.206 data_time: 0.009 memory: 5148 grad_norm: 9.6419 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2089 loss: 1.2089 2022/06/28 14:02:09 - mmengine - INFO - Epoch(train) [70][3580/3757] lr: 1.000e-03 eta: 8:19:19 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 8.9689 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4586 loss: 1.4586 2022/06/28 14:02:15 - mmengine - INFO - Epoch(train) [70][3600/3757] lr: 1.000e-03 eta: 8:19:14 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 9.4794 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1281 loss: 1.1281 2022/06/28 14:02:20 - mmengine - INFO - Epoch(train) [70][3620/3757] lr: 1.000e-03 eta: 8:19:09 time: 0.218 data_time: 0.007 memory: 5148 grad_norm: 7.2812 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6370 loss: 1.6370 2022/06/28 14:02:25 - mmengine - INFO - Epoch(train) [70][3640/3757] lr: 1.000e-03 eta: 8:19:03 time: 0.201 data_time: 0.009 memory: 5148 grad_norm: 6.5987 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2364 loss: 1.2364 2022/06/28 14:02:30 - mmengine - INFO - Epoch(train) [70][3660/3757] lr: 1.000e-03 eta: 8:18:58 time: 0.312 data_time: 0.006 memory: 5148 grad_norm: 9.0814 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0385 loss: 1.0385 2022/06/28 14:02:36 - mmengine - INFO - Epoch(train) [70][3680/3757] lr: 1.000e-03 eta: 8:18:53 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 7.2586 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4718 loss: 1.4718 2022/06/28 14:02:41 - mmengine - INFO - Epoch(train) [70][3700/3757] lr: 1.000e-03 eta: 8:18:48 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 8.0515 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4425 loss: 1.4425 2022/06/28 14:02:46 - mmengine - INFO - Epoch(train) [70][3720/3757] lr: 1.000e-03 eta: 8:18:42 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 8.6517 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2136 loss: 1.2136 2022/06/28 14:02:52 - mmengine - INFO - Epoch(train) [70][3740/3757] lr: 1.000e-03 eta: 8:18:37 time: 0.208 data_time: 0.010 memory: 5148 grad_norm: 9.4381 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3395 loss: 1.3395 2022/06/28 14:02:55 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 14:02:55 - mmengine - INFO - Saving checkpoint at 70 epochs 2022/06/28 14:03:04 - mmengine - INFO - Epoch(val) [70][20/310] eta: 0:01:10 time: 0.310 data_time: 0.225 memory: 5148 2022/06/28 14:03:09 - mmengine - INFO - Epoch(val) [70][40/310] eta: 0:00:59 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 14:03:14 - mmengine - INFO - Epoch(val) [70][60/310] eta: 0:00:55 time: 0.179 data_time: 0.108 memory: 1367 2022/06/28 14:03:19 - mmengine - INFO - Epoch(val) [70][80/310] eta: 0:00:56 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 14:03:25 - mmengine - INFO - Epoch(val) [70][100/310] eta: 0:00:53 time: 0.371 data_time: 0.298 memory: 1367 2022/06/28 14:03:30 - mmengine - INFO - Epoch(val) [70][120/310] eta: 0:00:44 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 14:03:36 - mmengine - INFO - Epoch(val) [70][140/310] eta: 0:00:59 time: 1.201 data_time: 1.117 memory: 1367 2022/06/28 14:03:41 - mmengine - INFO - Epoch(val) [70][160/310] eta: 0:00:32 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 14:03:47 - mmengine - INFO - Epoch(val) [70][180/310] eta: 0:00:52 time: 1.577 data_time: 1.507 memory: 1367 2022/06/28 14:03:52 - mmengine - INFO - Epoch(val) [70][200/310] eta: 0:00:24 time: 0.083 data_time: 0.005 memory: 1367 2022/06/28 14:03:58 - mmengine - INFO - Epoch(val) [70][220/310] eta: 0:00:33 time: 1.044 data_time: 0.973 memory: 1367 2022/06/28 14:04:02 - mmengine - INFO - Epoch(val) [70][240/310] eta: 0:00:14 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 14:04:08 - mmengine - INFO - Epoch(val) [70][260/310] eta: 0:00:18 time: 0.861 data_time: 0.783 memory: 1367 2022/06/28 14:04:13 - mmengine - INFO - Epoch(val) [70][280/310] eta: 0:00:07 time: 0.083 data_time: 0.005 memory: 1367 2022/06/28 14:04:17 - mmengine - INFO - Epoch(val) [70][300/310] eta: 0:00:02 time: 0.618 data_time: 0.547 memory: 1367 2022/06/28 14:04:20 - mmengine - INFO - Epoch(val) [70][310/310] acc/top1: 0.6490 acc/top5: 0.8572 acc/mean1: 0.6489 2022/06/28 14:04:25 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 14:04:28 - mmengine - INFO - Epoch(train) [71][20/3757] lr: 1.000e-03 eta: 8:18:27 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 9.7881 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2647 loss: 1.2647 2022/06/28 14:04:33 - mmengine - INFO - Epoch(train) [71][40/3757] lr: 1.000e-03 eta: 8:18:22 time: 0.197 data_time: 0.013 memory: 5148 grad_norm: 8.3400 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3343 loss: 1.3343 2022/06/28 14:04:38 - mmengine - INFO - Epoch(train) [71][60/3757] lr: 1.000e-03 eta: 8:18:16 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 7.6398 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4826 loss: 1.4826 2022/06/28 14:04:44 - mmengine - INFO - Epoch(train) [71][80/3757] lr: 1.000e-03 eta: 8:18:11 time: 0.193 data_time: 0.011 memory: 5148 grad_norm: 7.3691 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2683 loss: 1.2683 2022/06/28 14:04:50 - mmengine - INFO - Epoch(train) [71][100/3757] lr: 1.000e-03 eta: 8:18:06 time: 0.199 data_time: 0.019 memory: 5148 grad_norm: 6.7625 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3510 loss: 1.3510 2022/06/28 14:04:55 - mmengine - INFO - Epoch(train) [71][120/3757] lr: 1.000e-03 eta: 8:18:01 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 7.9404 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2079 loss: 1.2079 2022/06/28 14:05:01 - mmengine - INFO - Epoch(train) [71][140/3757] lr: 1.000e-03 eta: 8:17:56 time: 0.233 data_time: 0.023 memory: 5148 grad_norm: 7.8934 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2772 loss: 1.2772 2022/06/28 14:05:07 - mmengine - INFO - Epoch(train) [71][160/3757] lr: 1.000e-03 eta: 8:17:51 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 8.2956 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.2913 loss: 1.2913 2022/06/28 14:05:11 - mmengine - INFO - Epoch(train) [71][180/3757] lr: 1.000e-03 eta: 8:17:45 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 8.7982 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0350 loss: 1.0350 2022/06/28 14:05:17 - mmengine - INFO - Epoch(train) [71][200/3757] lr: 1.000e-03 eta: 8:17:40 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 6.6774 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8902 loss: 0.8902 2022/06/28 14:05:22 - mmengine - INFO - Epoch(train) [71][220/3757] lr: 1.000e-03 eta: 8:17:35 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 8.7732 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2707 loss: 1.2707 2022/06/28 14:05:27 - mmengine - INFO - Epoch(train) [71][240/3757] lr: 1.000e-03 eta: 8:17:29 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 7.0984 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4829 loss: 1.4829 2022/06/28 14:05:33 - mmengine - INFO - Epoch(train) [71][260/3757] lr: 1.000e-03 eta: 8:17:24 time: 0.189 data_time: 0.011 memory: 5148 grad_norm: 8.1759 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5452 loss: 1.5452 2022/06/28 14:05:38 - mmengine - INFO - Epoch(train) [71][280/3757] lr: 1.000e-03 eta: 8:17:18 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 8.9180 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2312 loss: 1.2312 2022/06/28 14:05:43 - mmengine - INFO - Epoch(train) [71][300/3757] lr: 1.000e-03 eta: 8:17:13 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 7.9734 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1296 loss: 1.1296 2022/06/28 14:05:48 - mmengine - INFO - Epoch(train) [71][320/3757] lr: 1.000e-03 eta: 8:17:08 time: 0.199 data_time: 0.012 memory: 5148 grad_norm: 7.7502 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1800 loss: 1.1800 2022/06/28 14:05:54 - mmengine - INFO - Epoch(train) [71][340/3757] lr: 1.000e-03 eta: 8:17:03 time: 0.206 data_time: 0.013 memory: 5148 grad_norm: 10.6203 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2329 loss: 1.2329 2022/06/28 14:05:59 - mmengine - INFO - Epoch(train) [71][360/3757] lr: 1.000e-03 eta: 8:16:57 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 8.7214 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.3526 loss: 1.3526 2022/06/28 14:06:04 - mmengine - INFO - Epoch(train) [71][380/3757] lr: 1.000e-03 eta: 8:16:52 time: 0.201 data_time: 0.017 memory: 5148 grad_norm: 7.6995 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3159 loss: 1.3159 2022/06/28 14:06:10 - mmengine - INFO - Epoch(train) [71][400/3757] lr: 1.000e-03 eta: 8:16:47 time: 0.749 data_time: 0.013 memory: 5148 grad_norm: 8.0787 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3006 loss: 1.3006 2022/06/28 14:06:15 - mmengine - INFO - Epoch(train) [71][420/3757] lr: 1.000e-03 eta: 8:16:41 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 7.1143 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2442 loss: 1.2442 2022/06/28 14:06:21 - mmengine - INFO - Epoch(train) [71][440/3757] lr: 1.000e-03 eta: 8:16:36 time: 0.216 data_time: 0.018 memory: 5148 grad_norm: 8.3254 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2029 loss: 1.2029 2022/06/28 14:06:26 - mmengine - INFO - Epoch(train) [71][460/3757] lr: 1.000e-03 eta: 8:16:31 time: 0.715 data_time: 0.011 memory: 5148 grad_norm: 6.2581 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6143 loss: 1.6143 2022/06/28 14:06:31 - mmengine - INFO - Epoch(train) [71][480/3757] lr: 1.000e-03 eta: 8:16:25 time: 0.198 data_time: 0.009 memory: 5148 grad_norm: 7.6497 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2686 loss: 1.2686 2022/06/28 14:06:37 - mmengine - INFO - Epoch(train) [71][500/3757] lr: 1.000e-03 eta: 8:16:20 time: 0.201 data_time: 0.023 memory: 5148 grad_norm: 6.6578 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2081 loss: 1.2081 2022/06/28 14:06:43 - mmengine - INFO - Epoch(train) [71][520/3757] lr: 1.000e-03 eta: 8:16:15 time: 1.101 data_time: 0.008 memory: 5148 grad_norm: 8.2929 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1500 loss: 1.1500 2022/06/28 14:06:48 - mmengine - INFO - Epoch(train) [71][540/3757] lr: 1.000e-03 eta: 8:16:10 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 9.3851 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2660 loss: 1.2660 2022/06/28 14:06:53 - mmengine - INFO - Epoch(train) [71][560/3757] lr: 1.000e-03 eta: 8:16:04 time: 0.201 data_time: 0.024 memory: 5148 grad_norm: 7.4433 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5341 loss: 1.5341 2022/06/28 14:06:59 - mmengine - INFO - Epoch(train) [71][580/3757] lr: 1.000e-03 eta: 8:15:59 time: 0.798 data_time: 0.007 memory: 5148 grad_norm: 8.9729 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4767 loss: 1.4767 2022/06/28 14:07:03 - mmengine - INFO - Epoch(train) [71][600/3757] lr: 1.000e-03 eta: 8:15:54 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 7.8945 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5791 loss: 1.5791 2022/06/28 14:07:09 - mmengine - INFO - Epoch(train) [71][620/3757] lr: 1.000e-03 eta: 8:15:48 time: 0.219 data_time: 0.024 memory: 5148 grad_norm: 7.9879 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1602 loss: 1.1602 2022/06/28 14:07:14 - mmengine - INFO - Epoch(train) [71][640/3757] lr: 1.000e-03 eta: 8:15:43 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 6.6583 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2104 loss: 1.2104 2022/06/28 14:07:20 - mmengine - INFO - Epoch(train) [71][660/3757] lr: 1.000e-03 eta: 8:15:38 time: 0.214 data_time: 0.010 memory: 5148 grad_norm: 7.0128 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7325 loss: 1.7325 2022/06/28 14:07:25 - mmengine - INFO - Epoch(train) [71][680/3757] lr: 1.000e-03 eta: 8:15:33 time: 0.196 data_time: 0.016 memory: 5148 grad_norm: 7.9468 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2739 loss: 1.2739 2022/06/28 14:07:30 - mmengine - INFO - Epoch(train) [71][700/3757] lr: 1.000e-03 eta: 8:15:27 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 9.3616 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8152 loss: 1.8152 2022/06/28 14:07:35 - mmengine - INFO - Epoch(train) [71][720/3757] lr: 1.000e-03 eta: 8:15:22 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 6.9999 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5841 loss: 1.5841 2022/06/28 14:07:41 - mmengine - INFO - Epoch(train) [71][740/3757] lr: 1.000e-03 eta: 8:15:17 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 9.3810 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2819 loss: 1.2819 2022/06/28 14:07:47 - mmengine - INFO - Epoch(train) [71][760/3757] lr: 1.000e-03 eta: 8:15:11 time: 0.592 data_time: 0.007 memory: 5148 grad_norm: 8.0806 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2662 loss: 1.2662 2022/06/28 14:07:52 - mmengine - INFO - Epoch(train) [71][780/3757] lr: 1.000e-03 eta: 8:15:06 time: 0.190 data_time: 0.007 memory: 5148 grad_norm: 9.7533 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4436 loss: 1.4436 2022/06/28 14:07:57 - mmengine - INFO - Epoch(train) [71][800/3757] lr: 1.000e-03 eta: 8:15:01 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.3740 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1100 loss: 1.1100 2022/06/28 14:08:03 - mmengine - INFO - Epoch(train) [71][820/3757] lr: 1.000e-03 eta: 8:14:56 time: 0.612 data_time: 0.007 memory: 5148 grad_norm: 7.6714 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2765 loss: 1.2765 2022/06/28 14:08:08 - mmengine - INFO - Epoch(train) [71][840/3757] lr: 1.000e-03 eta: 8:14:50 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 7.0809 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5799 loss: 1.5799 2022/06/28 14:08:13 - mmengine - INFO - Epoch(train) [71][860/3757] lr: 1.000e-03 eta: 8:14:45 time: 0.234 data_time: 0.007 memory: 5148 grad_norm: 7.2519 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1250 loss: 1.1250 2022/06/28 14:08:19 - mmengine - INFO - Epoch(train) [71][880/3757] lr: 1.000e-03 eta: 8:14:40 time: 1.152 data_time: 0.011 memory: 5148 grad_norm: 6.7536 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2922 loss: 1.2922 2022/06/28 14:08:23 - mmengine - INFO - Epoch(train) [71][900/3757] lr: 1.000e-03 eta: 8:14:34 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 7.7672 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5141 loss: 1.5141 2022/06/28 14:08:29 - mmengine - INFO - Epoch(train) [71][920/3757] lr: 1.000e-03 eta: 8:14:29 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 7.9665 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3179 loss: 1.3179 2022/06/28 14:08:34 - mmengine - INFO - Epoch(train) [71][940/3757] lr: 1.000e-03 eta: 8:14:24 time: 0.212 data_time: 0.010 memory: 5148 grad_norm: 8.2850 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3278 loss: 1.3278 2022/06/28 14:08:39 - mmengine - INFO - Epoch(train) [71][960/3757] lr: 1.000e-03 eta: 8:14:18 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 8.5941 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3959 loss: 1.3959 2022/06/28 14:08:44 - mmengine - INFO - Epoch(train) [71][980/3757] lr: 1.000e-03 eta: 8:14:13 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 7.7355 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3844 loss: 1.3844 2022/06/28 14:08:50 - mmengine - INFO - Epoch(train) [71][1000/3757] lr: 1.000e-03 eta: 8:14:07 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 8.1467 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3810 loss: 1.3810 2022/06/28 14:08:53 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 14:08:55 - mmengine - INFO - Epoch(train) [71][1020/3757] lr: 1.000e-03 eta: 8:14:02 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 7.5272 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9970 loss: 0.9970 2022/06/28 14:09:01 - mmengine - INFO - Epoch(train) [71][1040/3757] lr: 1.000e-03 eta: 8:13:57 time: 0.226 data_time: 0.008 memory: 5148 grad_norm: 7.7480 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3529 loss: 1.3529 2022/06/28 14:09:06 - mmengine - INFO - Epoch(train) [71][1060/3757] lr: 1.000e-03 eta: 8:13:52 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 8.0219 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4600 loss: 1.4600 2022/06/28 14:09:12 - mmengine - INFO - Epoch(train) [71][1080/3757] lr: 1.000e-03 eta: 8:13:46 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 9.4628 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4298 loss: 1.4298 2022/06/28 14:09:17 - mmengine - INFO - Epoch(train) [71][1100/3757] lr: 1.000e-03 eta: 8:13:41 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 7.7380 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4471 loss: 1.4471 2022/06/28 14:09:22 - mmengine - INFO - Epoch(train) [71][1120/3757] lr: 1.000e-03 eta: 8:13:35 time: 0.212 data_time: 0.010 memory: 5148 grad_norm: 7.0738 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4276 loss: 1.4276 2022/06/28 14:09:27 - mmengine - INFO - Epoch(train) [71][1140/3757] lr: 1.000e-03 eta: 8:13:30 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 8.7987 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5125 loss: 1.5125 2022/06/28 14:09:33 - mmengine - INFO - Epoch(train) [71][1160/3757] lr: 1.000e-03 eta: 8:13:25 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 8.2890 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1031 loss: 1.1031 2022/06/28 14:09:38 - mmengine - INFO - Epoch(train) [71][1180/3757] lr: 1.000e-03 eta: 8:13:20 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 7.9265 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3486 loss: 1.3486 2022/06/28 14:09:43 - mmengine - INFO - Epoch(train) [71][1200/3757] lr: 1.000e-03 eta: 8:13:14 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 8.9553 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4005 loss: 1.4005 2022/06/28 14:09:49 - mmengine - INFO - Epoch(train) [71][1220/3757] lr: 1.000e-03 eta: 8:13:09 time: 0.202 data_time: 0.015 memory: 5148 grad_norm: 7.2217 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9352 loss: 0.9352 2022/06/28 14:09:53 - mmengine - INFO - Epoch(train) [71][1240/3757] lr: 1.000e-03 eta: 8:13:04 time: 0.197 data_time: 0.013 memory: 5148 grad_norm: 7.7891 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7645 loss: 1.7645 2022/06/28 14:09:58 - mmengine - INFO - Epoch(train) [71][1260/3757] lr: 1.000e-03 eta: 8:12:58 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 7.8910 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1762 loss: 1.1762 2022/06/28 14:10:04 - mmengine - INFO - Epoch(train) [71][1280/3757] lr: 1.000e-03 eta: 8:12:53 time: 0.207 data_time: 0.014 memory: 5148 grad_norm: 8.5191 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4091 loss: 1.4091 2022/06/28 14:10:09 - mmengine - INFO - Epoch(train) [71][1300/3757] lr: 1.000e-03 eta: 8:12:48 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 9.2241 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1122 loss: 1.1122 2022/06/28 14:10:15 - mmengine - INFO - Epoch(train) [71][1320/3757] lr: 1.000e-03 eta: 8:12:42 time: 0.207 data_time: 0.011 memory: 5148 grad_norm: 9.2798 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7015 loss: 1.7015 2022/06/28 14:10:20 - mmengine - INFO - Epoch(train) [71][1340/3757] lr: 1.000e-03 eta: 8:12:37 time: 0.214 data_time: 0.012 memory: 5148 grad_norm: 7.7881 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0990 loss: 1.0990 2022/06/28 14:10:25 - mmengine - INFO - Epoch(train) [71][1360/3757] lr: 1.000e-03 eta: 8:12:32 time: 0.210 data_time: 0.006 memory: 5148 grad_norm: 6.7463 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3609 loss: 1.3609 2022/06/28 14:10:31 - mmengine - INFO - Epoch(train) [71][1380/3757] lr: 1.000e-03 eta: 8:12:26 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 8.8005 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5905 loss: 1.5905 2022/06/28 14:10:37 - mmengine - INFO - Epoch(train) [71][1400/3757] lr: 1.000e-03 eta: 8:12:21 time: 0.214 data_time: 0.013 memory: 5148 grad_norm: 8.4978 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3466 loss: 1.3466 2022/06/28 14:10:41 - mmengine - INFO - Epoch(train) [71][1420/3757] lr: 1.000e-03 eta: 8:12:16 time: 0.201 data_time: 0.015 memory: 5148 grad_norm: 9.0466 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4557 loss: 1.4557 2022/06/28 14:10:47 - mmengine - INFO - Epoch(train) [71][1440/3757] lr: 1.000e-03 eta: 8:12:10 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 9.4310 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2138 loss: 1.2138 2022/06/28 14:10:52 - mmengine - INFO - Epoch(train) [71][1460/3757] lr: 1.000e-03 eta: 8:12:05 time: 0.213 data_time: 0.006 memory: 5148 grad_norm: 7.4267 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1223 loss: 1.1223 2022/06/28 14:10:57 - mmengine - INFO - Epoch(train) [71][1480/3757] lr: 1.000e-03 eta: 8:12:00 time: 0.203 data_time: 0.018 memory: 5148 grad_norm: 8.6655 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3121 loss: 1.3121 2022/06/28 14:11:02 - mmengine - INFO - Epoch(train) [71][1500/3757] lr: 1.000e-03 eta: 8:11:54 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 8.1474 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8351 loss: 0.8351 2022/06/28 14:11:07 - mmengine - INFO - Epoch(train) [71][1520/3757] lr: 1.000e-03 eta: 8:11:49 time: 0.201 data_time: 0.015 memory: 5148 grad_norm: 7.1295 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2244 loss: 1.2244 2022/06/28 14:11:12 - mmengine - INFO - Epoch(train) [71][1540/3757] lr: 1.000e-03 eta: 8:11:44 time: 0.196 data_time: 0.016 memory: 5148 grad_norm: 8.0983 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0459 loss: 1.0459 2022/06/28 14:11:18 - mmengine - INFO - Epoch(train) [71][1560/3757] lr: 1.000e-03 eta: 8:11:38 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 7.4562 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3971 loss: 1.3971 2022/06/28 14:11:24 - mmengine - INFO - Epoch(train) [71][1580/3757] lr: 1.000e-03 eta: 8:11:33 time: 0.244 data_time: 0.026 memory: 5148 grad_norm: 7.3483 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2311 loss: 1.2311 2022/06/28 14:11:29 - mmengine - INFO - Epoch(train) [71][1600/3757] lr: 1.000e-03 eta: 8:11:28 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 7.1500 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3389 loss: 1.3389 2022/06/28 14:11:34 - mmengine - INFO - Epoch(train) [71][1620/3757] lr: 1.000e-03 eta: 8:11:22 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 8.3892 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4647 loss: 1.4647 2022/06/28 14:11:39 - mmengine - INFO - Epoch(train) [71][1640/3757] lr: 1.000e-03 eta: 8:11:17 time: 0.211 data_time: 0.013 memory: 5148 grad_norm: 10.0226 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4007 loss: 1.4007 2022/06/28 14:11:44 - mmengine - INFO - Epoch(train) [71][1660/3757] lr: 1.000e-03 eta: 8:11:12 time: 0.194 data_time: 0.013 memory: 5148 grad_norm: 8.6948 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0599 loss: 1.0599 2022/06/28 14:11:50 - mmengine - INFO - Epoch(train) [71][1680/3757] lr: 1.000e-03 eta: 8:11:06 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 8.4970 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1512 loss: 1.1512 2022/06/28 14:11:55 - mmengine - INFO - Epoch(train) [71][1700/3757] lr: 1.000e-03 eta: 8:11:01 time: 0.205 data_time: 0.020 memory: 5148 grad_norm: 8.5125 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2374 loss: 1.2374 2022/06/28 14:12:00 - mmengine - INFO - Epoch(train) [71][1720/3757] lr: 1.000e-03 eta: 8:10:56 time: 0.198 data_time: 0.012 memory: 5148 grad_norm: 8.6429 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4964 loss: 1.4964 2022/06/28 14:12:06 - mmengine - INFO - Epoch(train) [71][1740/3757] lr: 1.000e-03 eta: 8:10:51 time: 0.209 data_time: 0.009 memory: 5148 grad_norm: 7.9159 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4597 loss: 1.4597 2022/06/28 14:12:12 - mmengine - INFO - Epoch(train) [71][1760/3757] lr: 1.000e-03 eta: 8:10:45 time: 1.062 data_time: 0.016 memory: 5148 grad_norm: 6.9706 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0753 loss: 1.0753 2022/06/28 14:12:16 - mmengine - INFO - Epoch(train) [71][1780/3757] lr: 1.000e-03 eta: 8:10:40 time: 0.197 data_time: 0.021 memory: 5148 grad_norm: 7.7867 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6159 loss: 1.6159 2022/06/28 14:12:22 - mmengine - INFO - Epoch(train) [71][1800/3757] lr: 1.000e-03 eta: 8:10:35 time: 0.215 data_time: 0.016 memory: 5148 grad_norm: 8.3823 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9355 loss: 0.9355 2022/06/28 14:12:27 - mmengine - INFO - Epoch(train) [71][1820/3757] lr: 1.000e-03 eta: 8:10:29 time: 0.372 data_time: 0.007 memory: 5148 grad_norm: 7.0873 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3640 loss: 1.3640 2022/06/28 14:12:33 - mmengine - INFO - Epoch(train) [71][1840/3757] lr: 1.000e-03 eta: 8:10:24 time: 0.211 data_time: 0.033 memory: 5148 grad_norm: 8.1856 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3811 loss: 1.3811 2022/06/28 14:12:38 - mmengine - INFO - Epoch(train) [71][1860/3757] lr: 1.000e-03 eta: 8:10:19 time: 0.216 data_time: 0.011 memory: 5148 grad_norm: 10.7744 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2610 loss: 1.2610 2022/06/28 14:12:43 - mmengine - INFO - Epoch(train) [71][1880/3757] lr: 1.000e-03 eta: 8:10:13 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 7.5841 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2661 loss: 1.2661 2022/06/28 14:12:48 - mmengine - INFO - Epoch(train) [71][1900/3757] lr: 1.000e-03 eta: 8:10:08 time: 0.206 data_time: 0.021 memory: 5148 grad_norm: 9.7969 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2678 loss: 1.2678 2022/06/28 14:12:54 - mmengine - INFO - Epoch(train) [71][1920/3757] lr: 1.000e-03 eta: 8:10:03 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 9.4490 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6178 loss: 1.6178 2022/06/28 14:12:59 - mmengine - INFO - Epoch(train) [71][1940/3757] lr: 1.000e-03 eta: 8:09:57 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 8.2952 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2502 loss: 1.2502 2022/06/28 14:13:04 - mmengine - INFO - Epoch(train) [71][1960/3757] lr: 1.000e-03 eta: 8:09:52 time: 0.203 data_time: 0.017 memory: 5148 grad_norm: 8.0507 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3167 loss: 1.3167 2022/06/28 14:13:09 - mmengine - INFO - Epoch(train) [71][1980/3757] lr: 1.000e-03 eta: 8:09:47 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 7.8402 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2734 loss: 1.2734 2022/06/28 14:13:15 - mmengine - INFO - Epoch(train) [71][2000/3757] lr: 1.000e-03 eta: 8:09:41 time: 0.611 data_time: 0.011 memory: 5148 grad_norm: 8.9710 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0467 loss: 1.0467 2022/06/28 14:13:17 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 14:13:19 - mmengine - INFO - Epoch(train) [71][2020/3757] lr: 1.000e-03 eta: 8:09:36 time: 0.200 data_time: 0.019 memory: 5148 grad_norm: 8.6036 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2791 loss: 1.2791 2022/06/28 14:13:25 - mmengine - INFO - Epoch(train) [71][2040/3757] lr: 1.000e-03 eta: 8:09:31 time: 0.213 data_time: 0.012 memory: 5148 grad_norm: 9.1661 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0970 loss: 1.0970 2022/06/28 14:13:31 - mmengine - INFO - Epoch(train) [71][2060/3757] lr: 1.000e-03 eta: 8:09:25 time: 0.679 data_time: 0.011 memory: 5148 grad_norm: 6.8578 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3770 loss: 1.3770 2022/06/28 14:13:36 - mmengine - INFO - Epoch(train) [71][2080/3757] lr: 1.000e-03 eta: 8:09:20 time: 0.193 data_time: 0.012 memory: 5148 grad_norm: 7.4225 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2539 loss: 1.2539 2022/06/28 14:13:41 - mmengine - INFO - Epoch(train) [71][2100/3757] lr: 1.000e-03 eta: 8:09:15 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 7.4488 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1278 loss: 1.1278 2022/06/28 14:13:46 - mmengine - INFO - Epoch(train) [71][2120/3757] lr: 1.000e-03 eta: 8:09:09 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 6.7629 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3179 loss: 1.3179 2022/06/28 14:13:52 - mmengine - INFO - Epoch(train) [71][2140/3757] lr: 1.000e-03 eta: 8:09:04 time: 0.200 data_time: 0.016 memory: 5148 grad_norm: 8.2283 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1947 loss: 1.1947 2022/06/28 14:13:57 - mmengine - INFO - Epoch(train) [71][2160/3757] lr: 1.000e-03 eta: 8:08:59 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 9.6103 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2111 loss: 1.2111 2022/06/28 14:14:03 - mmengine - INFO - Epoch(train) [71][2180/3757] lr: 1.000e-03 eta: 8:08:54 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 6.5877 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4772 loss: 1.4772 2022/06/28 14:14:08 - mmengine - INFO - Epoch(train) [71][2200/3757] lr: 1.000e-03 eta: 8:08:48 time: 0.196 data_time: 0.019 memory: 5148 grad_norm: 9.2296 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9182 loss: 1.9182 2022/06/28 14:14:13 - mmengine - INFO - Epoch(train) [71][2220/3757] lr: 1.000e-03 eta: 8:08:43 time: 0.202 data_time: 0.009 memory: 5148 grad_norm: 7.6976 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1945 loss: 1.1945 2022/06/28 14:14:18 - mmengine - INFO - Epoch(train) [71][2240/3757] lr: 1.000e-03 eta: 8:08:38 time: 0.205 data_time: 0.006 memory: 5148 grad_norm: 8.2201 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5138 loss: 1.5138 2022/06/28 14:14:24 - mmengine - INFO - Epoch(train) [71][2260/3757] lr: 1.000e-03 eta: 8:08:32 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 7.7932 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5126 loss: 1.5126 2022/06/28 14:14:29 - mmengine - INFO - Epoch(train) [71][2280/3757] lr: 1.000e-03 eta: 8:08:27 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 9.4446 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1043 loss: 1.1043 2022/06/28 14:14:34 - mmengine - INFO - Epoch(train) [71][2300/3757] lr: 1.000e-03 eta: 8:08:22 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 8.4906 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4610 loss: 1.4610 2022/06/28 14:14:40 - mmengine - INFO - Epoch(train) [71][2320/3757] lr: 1.000e-03 eta: 8:08:17 time: 0.194 data_time: 0.014 memory: 5148 grad_norm: 8.0433 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1682 loss: 1.1682 2022/06/28 14:14:45 - mmengine - INFO - Epoch(train) [71][2340/3757] lr: 1.000e-03 eta: 8:08:11 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 8.1335 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6338 loss: 1.6338 2022/06/28 14:14:51 - mmengine - INFO - Epoch(train) [71][2360/3757] lr: 1.000e-03 eta: 8:08:06 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 8.2725 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5513 loss: 1.5513 2022/06/28 14:14:56 - mmengine - INFO - Epoch(train) [71][2380/3757] lr: 1.000e-03 eta: 8:08:01 time: 0.220 data_time: 0.014 memory: 5148 grad_norm: 9.7746 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4093 loss: 1.4093 2022/06/28 14:15:01 - mmengine - INFO - Epoch(train) [71][2400/3757] lr: 1.000e-03 eta: 8:07:55 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 7.5241 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9920 loss: 0.9920 2022/06/28 14:15:07 - mmengine - INFO - Epoch(train) [71][2420/3757] lr: 1.000e-03 eta: 8:07:50 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 7.6084 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2624 loss: 1.2624 2022/06/28 14:15:12 - mmengine - INFO - Epoch(train) [71][2440/3757] lr: 1.000e-03 eta: 8:07:45 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 10.0685 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4679 loss: 1.4679 2022/06/28 14:15:17 - mmengine - INFO - Epoch(train) [71][2460/3757] lr: 1.000e-03 eta: 8:07:39 time: 0.214 data_time: 0.008 memory: 5148 grad_norm: 7.7548 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3607 loss: 1.3607 2022/06/28 14:15:23 - mmengine - INFO - Epoch(train) [71][2480/3757] lr: 1.000e-03 eta: 8:07:34 time: 0.211 data_time: 0.006 memory: 5148 grad_norm: 8.0399 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3704 loss: 1.3704 2022/06/28 14:15:28 - mmengine - INFO - Epoch(train) [71][2500/3757] lr: 1.000e-03 eta: 8:07:29 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 7.5068 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3122 loss: 1.3122 2022/06/28 14:15:34 - mmengine - INFO - Epoch(train) [71][2520/3757] lr: 1.000e-03 eta: 8:07:24 time: 0.222 data_time: 0.008 memory: 5148 grad_norm: 7.1930 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3144 loss: 1.3144 2022/06/28 14:15:39 - mmengine - INFO - Epoch(train) [71][2540/3757] lr: 1.000e-03 eta: 8:07:18 time: 0.203 data_time: 0.013 memory: 5148 grad_norm: 9.7412 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5584 loss: 1.5584 2022/06/28 14:15:44 - mmengine - INFO - Epoch(train) [71][2560/3757] lr: 1.000e-03 eta: 8:07:13 time: 0.208 data_time: 0.010 memory: 5148 grad_norm: 8.0068 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6281 loss: 1.6281 2022/06/28 14:15:50 - mmengine - INFO - Epoch(train) [71][2580/3757] lr: 1.000e-03 eta: 8:07:08 time: 0.247 data_time: 0.007 memory: 5148 grad_norm: 8.8232 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6664 loss: 1.6664 2022/06/28 14:15:55 - mmengine - INFO - Epoch(train) [71][2600/3757] lr: 1.000e-03 eta: 8:07:02 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 9.0777 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5215 loss: 1.5215 2022/06/28 14:16:00 - mmengine - INFO - Epoch(train) [71][2620/3757] lr: 1.000e-03 eta: 8:06:57 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 8.9654 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2834 loss: 1.2834 2022/06/28 14:16:05 - mmengine - INFO - Epoch(train) [71][2640/3757] lr: 1.000e-03 eta: 8:06:52 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 7.5873 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0992 loss: 1.0992 2022/06/28 14:16:10 - mmengine - INFO - Epoch(train) [71][2660/3757] lr: 1.000e-03 eta: 8:06:46 time: 0.210 data_time: 0.010 memory: 5148 grad_norm: 7.8422 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2712 loss: 1.2712 2022/06/28 14:16:16 - mmengine - INFO - Epoch(train) [71][2680/3757] lr: 1.000e-03 eta: 8:06:41 time: 0.200 data_time: 0.014 memory: 5148 grad_norm: 8.5628 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0859 loss: 1.0859 2022/06/28 14:16:21 - mmengine - INFO - Epoch(train) [71][2700/3757] lr: 1.000e-03 eta: 8:06:35 time: 0.198 data_time: 0.013 memory: 5148 grad_norm: 8.6709 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4961 loss: 1.4961 2022/06/28 14:16:26 - mmengine - INFO - Epoch(train) [71][2720/3757] lr: 1.000e-03 eta: 8:06:30 time: 0.238 data_time: 0.025 memory: 5148 grad_norm: 7.7802 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3813 loss: 1.3813 2022/06/28 14:16:32 - mmengine - INFO - Epoch(train) [71][2740/3757] lr: 1.000e-03 eta: 8:06:25 time: 0.198 data_time: 0.013 memory: 5148 grad_norm: 7.8375 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4084 loss: 1.4084 2022/06/28 14:16:37 - mmengine - INFO - Epoch(train) [71][2760/3757] lr: 1.000e-03 eta: 8:06:20 time: 0.202 data_time: 0.018 memory: 5148 grad_norm: 8.9447 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0323 loss: 1.0323 2022/06/28 14:16:42 - mmengine - INFO - Epoch(train) [71][2780/3757] lr: 1.000e-03 eta: 8:06:14 time: 0.213 data_time: 0.011 memory: 5148 grad_norm: 8.8062 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6010 loss: 1.6010 2022/06/28 14:16:47 - mmengine - INFO - Epoch(train) [71][2800/3757] lr: 1.000e-03 eta: 8:06:09 time: 0.211 data_time: 0.014 memory: 5148 grad_norm: 8.2075 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2068 loss: 1.2068 2022/06/28 14:16:53 - mmengine - INFO - Epoch(train) [71][2820/3757] lr: 1.000e-03 eta: 8:06:04 time: 0.195 data_time: 0.017 memory: 5148 grad_norm: 6.5082 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0886 loss: 1.0886 2022/06/28 14:16:58 - mmengine - INFO - Epoch(train) [71][2840/3757] lr: 1.000e-03 eta: 8:05:58 time: 0.214 data_time: 0.006 memory: 5148 grad_norm: 7.4587 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4621 loss: 1.4621 2022/06/28 14:17:03 - mmengine - INFO - Epoch(train) [71][2860/3757] lr: 1.000e-03 eta: 8:05:53 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 8.0259 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9250 loss: 0.9250 2022/06/28 14:17:09 - mmengine - INFO - Epoch(train) [71][2880/3757] lr: 1.000e-03 eta: 8:05:48 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 7.6313 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1846 loss: 1.1846 2022/06/28 14:17:14 - mmengine - INFO - Epoch(train) [71][2900/3757] lr: 1.000e-03 eta: 8:05:42 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 7.5243 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4390 loss: 1.4390 2022/06/28 14:17:19 - mmengine - INFO - Epoch(train) [71][2920/3757] lr: 1.000e-03 eta: 8:05:37 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 8.4205 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1249 loss: 1.1249 2022/06/28 14:17:24 - mmengine - INFO - Epoch(train) [71][2940/3757] lr: 1.000e-03 eta: 8:05:31 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 8.0827 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8940 loss: 0.8940 2022/06/28 14:17:29 - mmengine - INFO - Epoch(train) [71][2960/3757] lr: 1.000e-03 eta: 8:05:26 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 8.0445 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2852 loss: 1.2852 2022/06/28 14:17:35 - mmengine - INFO - Epoch(train) [71][2980/3757] lr: 1.000e-03 eta: 8:05:21 time: 0.202 data_time: 0.013 memory: 5148 grad_norm: 6.7219 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2124 loss: 1.2124 2022/06/28 14:17:40 - mmengine - INFO - Epoch(train) [71][3000/3757] lr: 1.000e-03 eta: 8:05:16 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 7.9456 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2848 loss: 1.2848 2022/06/28 14:17:43 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 14:17:46 - mmengine - INFO - Epoch(train) [71][3020/3757] lr: 1.000e-03 eta: 8:05:10 time: 0.205 data_time: 0.019 memory: 5148 grad_norm: 9.2743 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2184 loss: 1.2184 2022/06/28 14:17:50 - mmengine - INFO - Epoch(train) [71][3040/3757] lr: 1.000e-03 eta: 8:05:05 time: 0.242 data_time: 0.017 memory: 5148 grad_norm: 8.8231 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2960 loss: 1.2960 2022/06/28 14:17:56 - mmengine - INFO - Epoch(train) [71][3060/3757] lr: 1.000e-03 eta: 8:05:00 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 8.6271 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3823 loss: 1.3823 2022/06/28 14:18:01 - mmengine - INFO - Epoch(train) [71][3080/3757] lr: 1.000e-03 eta: 8:04:54 time: 0.230 data_time: 0.017 memory: 5148 grad_norm: 7.3555 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3953 loss: 1.3953 2022/06/28 14:18:06 - mmengine - INFO - Epoch(train) [71][3100/3757] lr: 1.000e-03 eta: 8:04:49 time: 0.220 data_time: 0.011 memory: 5148 grad_norm: 8.4656 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1284 loss: 1.1284 2022/06/28 14:18:12 - mmengine - INFO - Epoch(train) [71][3120/3757] lr: 1.000e-03 eta: 8:04:44 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 9.8568 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0607 loss: 1.0607 2022/06/28 14:18:17 - mmengine - INFO - Epoch(train) [71][3140/3757] lr: 1.000e-03 eta: 8:04:39 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 7.9001 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4826 loss: 1.4826 2022/06/28 14:18:22 - mmengine - INFO - Epoch(train) [71][3160/3757] lr: 1.000e-03 eta: 8:04:33 time: 0.213 data_time: 0.015 memory: 5148 grad_norm: 7.9221 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0339 loss: 1.0339 2022/06/28 14:18:28 - mmengine - INFO - Epoch(train) [71][3180/3757] lr: 1.000e-03 eta: 8:04:28 time: 0.190 data_time: 0.011 memory: 5148 grad_norm: 7.4853 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2524 loss: 1.2524 2022/06/28 14:18:33 - mmengine - INFO - Epoch(train) [71][3200/3757] lr: 1.000e-03 eta: 8:04:23 time: 0.210 data_time: 0.015 memory: 5148 grad_norm: 8.5726 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2860 loss: 1.2860 2022/06/28 14:18:38 - mmengine - INFO - Epoch(train) [71][3220/3757] lr: 1.000e-03 eta: 8:04:17 time: 0.208 data_time: 0.013 memory: 5148 grad_norm: 7.8514 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0726 loss: 1.0726 2022/06/28 14:18:44 - mmengine - INFO - Epoch(train) [71][3240/3757] lr: 1.000e-03 eta: 8:04:12 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 7.8399 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0966 loss: 1.0966 2022/06/28 14:18:49 - mmengine - INFO - Epoch(train) [71][3260/3757] lr: 1.000e-03 eta: 8:04:07 time: 0.197 data_time: 0.012 memory: 5148 grad_norm: 8.4999 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9915 loss: 0.9915 2022/06/28 14:18:54 - mmengine - INFO - Epoch(train) [71][3280/3757] lr: 1.000e-03 eta: 8:04:01 time: 0.212 data_time: 0.012 memory: 5148 grad_norm: 8.9216 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3104 loss: 1.3104 2022/06/28 14:18:59 - mmengine - INFO - Epoch(train) [71][3300/3757] lr: 1.000e-03 eta: 8:03:56 time: 0.206 data_time: 0.012 memory: 5148 grad_norm: 9.0466 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3492 loss: 1.3492 2022/06/28 14:19:04 - mmengine - INFO - Epoch(train) [71][3320/3757] lr: 1.000e-03 eta: 8:03:50 time: 0.199 data_time: 0.016 memory: 5148 grad_norm: 9.5243 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5073 loss: 1.5073 2022/06/28 14:19:09 - mmengine - INFO - Epoch(train) [71][3340/3757] lr: 1.000e-03 eta: 8:03:45 time: 0.198 data_time: 0.013 memory: 5148 grad_norm: 7.7457 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2501 loss: 1.2501 2022/06/28 14:19:14 - mmengine - INFO - Epoch(train) [71][3360/3757] lr: 1.000e-03 eta: 8:03:39 time: 0.205 data_time: 0.023 memory: 5148 grad_norm: 7.7570 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3150 loss: 1.3150 2022/06/28 14:19:21 - mmengine - INFO - Epoch(train) [71][3380/3757] lr: 1.000e-03 eta: 8:03:35 time: 0.220 data_time: 0.015 memory: 5148 grad_norm: 7.7519 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3968 loss: 1.3968 2022/06/28 14:19:25 - mmengine - INFO - Epoch(train) [71][3400/3757] lr: 1.000e-03 eta: 8:03:29 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.7733 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3244 loss: 1.3244 2022/06/28 14:19:31 - mmengine - INFO - Epoch(train) [71][3420/3757] lr: 1.000e-03 eta: 8:03:24 time: 0.211 data_time: 0.017 memory: 5148 grad_norm: 8.9796 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4064 loss: 1.4064 2022/06/28 14:19:36 - mmengine - INFO - Epoch(train) [71][3440/3757] lr: 1.000e-03 eta: 8:03:18 time: 0.210 data_time: 0.024 memory: 5148 grad_norm: 8.3423 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5730 loss: 1.5730 2022/06/28 14:19:41 - mmengine - INFO - Epoch(train) [71][3460/3757] lr: 1.000e-03 eta: 8:03:13 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 8.5226 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1220 loss: 1.1220 2022/06/28 14:19:46 - mmengine - INFO - Epoch(train) [71][3480/3757] lr: 1.000e-03 eta: 8:03:08 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 8.0728 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4177 loss: 1.4177 2022/06/28 14:19:52 - mmengine - INFO - Epoch(train) [71][3500/3757] lr: 1.000e-03 eta: 8:03:03 time: 0.211 data_time: 0.012 memory: 5148 grad_norm: 7.8608 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1389 loss: 1.1389 2022/06/28 14:19:57 - mmengine - INFO - Epoch(train) [71][3520/3757] lr: 1.000e-03 eta: 8:02:57 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 7.0740 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3464 loss: 1.3464 2022/06/28 14:20:02 - mmengine - INFO - Epoch(train) [71][3540/3757] lr: 1.000e-03 eta: 8:02:52 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 8.4146 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7003 loss: 1.7003 2022/06/28 14:20:07 - mmengine - INFO - Epoch(train) [71][3560/3757] lr: 1.000e-03 eta: 8:02:46 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 9.1485 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5513 loss: 1.5513 2022/06/28 14:20:12 - mmengine - INFO - Epoch(train) [71][3580/3757] lr: 1.000e-03 eta: 8:02:41 time: 0.212 data_time: 0.010 memory: 5148 grad_norm: 10.1545 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5840 loss: 1.5840 2022/06/28 14:20:18 - mmengine - INFO - Epoch(train) [71][3600/3757] lr: 1.000e-03 eta: 8:02:36 time: 0.211 data_time: 0.017 memory: 5148 grad_norm: 7.7787 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2765 loss: 1.2765 2022/06/28 14:20:23 - mmengine - INFO - Epoch(train) [71][3620/3757] lr: 1.000e-03 eta: 8:02:30 time: 0.218 data_time: 0.018 memory: 5148 grad_norm: 7.3943 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2212 loss: 1.2212 2022/06/28 14:20:28 - mmengine - INFO - Epoch(train) [71][3640/3757] lr: 1.000e-03 eta: 8:02:25 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 8.9840 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2368 loss: 1.2368 2022/06/28 14:20:34 - mmengine - INFO - Epoch(train) [71][3660/3757] lr: 1.000e-03 eta: 8:02:20 time: 0.204 data_time: 0.028 memory: 5148 grad_norm: 8.0261 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7245 loss: 1.7245 2022/06/28 14:20:39 - mmengine - INFO - Epoch(train) [71][3680/3757] lr: 1.000e-03 eta: 8:02:14 time: 0.521 data_time: 0.013 memory: 5148 grad_norm: 8.6261 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0891 loss: 1.0891 2022/06/28 14:20:44 - mmengine - INFO - Epoch(train) [71][3700/3757] lr: 1.000e-03 eta: 8:02:09 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 8.9041 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4101 loss: 1.4101 2022/06/28 14:20:49 - mmengine - INFO - Epoch(train) [71][3720/3757] lr: 1.000e-03 eta: 8:02:04 time: 0.195 data_time: 0.019 memory: 5148 grad_norm: 8.2885 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0778 loss: 1.0778 2022/06/28 14:20:55 - mmengine - INFO - Epoch(train) [71][3740/3757] lr: 1.000e-03 eta: 8:01:58 time: 0.213 data_time: 0.016 memory: 5148 grad_norm: 8.1602 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7579 loss: 1.7579 2022/06/28 14:20:58 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 14:21:05 - mmengine - INFO - Epoch(val) [71][20/310] eta: 0:01:11 time: 0.311 data_time: 0.240 memory: 5148 2022/06/28 14:21:09 - mmengine - INFO - Epoch(val) [71][40/310] eta: 0:01:01 time: 0.085 data_time: 0.009 memory: 1367 2022/06/28 14:21:15 - mmengine - INFO - Epoch(val) [71][60/310] eta: 0:00:53 time: 0.090 data_time: 0.012 memory: 1367 2022/06/28 14:21:20 - mmengine - INFO - Epoch(val) [71][80/310] eta: 0:00:56 time: 0.172 data_time: 0.100 memory: 1367 2022/06/28 14:21:26 - mmengine - INFO - Epoch(val) [71][100/310] eta: 0:00:51 time: 0.165 data_time: 0.088 memory: 1367 2022/06/28 14:21:30 - mmengine - INFO - Epoch(val) [71][120/310] eta: 0:00:49 time: 0.345 data_time: 0.267 memory: 1367 2022/06/28 14:21:37 - mmengine - INFO - Epoch(val) [71][140/310] eta: 0:00:52 time: 0.438 data_time: 0.364 memory: 1367 2022/06/28 14:21:41 - mmengine - INFO - Epoch(val) [71][160/310] eta: 0:00:36 time: 0.343 data_time: 0.272 memory: 1367 2022/06/28 14:21:48 - mmengine - INFO - Epoch(val) [71][180/310] eta: 0:00:48 time: 0.967 data_time: 0.894 memory: 1367 2022/06/28 14:21:52 - mmengine - INFO - Epoch(val) [71][200/310] eta: 0:00:26 time: 0.081 data_time: 0.006 memory: 1367 2022/06/28 14:21:58 - mmengine - INFO - Epoch(val) [71][220/310] eta: 0:00:30 time: 0.180 data_time: 0.104 memory: 1367 2022/06/28 14:22:02 - mmengine - INFO - Epoch(val) [71][240/310] eta: 0:00:14 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 14:22:08 - mmengine - INFO - Epoch(val) [71][260/310] eta: 0:00:15 time: 0.234 data_time: 0.154 memory: 1367 2022/06/28 14:22:13 - mmengine - INFO - Epoch(val) [71][280/310] eta: 0:00:07 time: 0.079 data_time: 0.005 memory: 1367 2022/06/28 14:22:19 - mmengine - INFO - Epoch(val) [71][300/310] eta: 0:00:03 time: 0.178 data_time: 0.102 memory: 1367 2022/06/28 14:22:22 - mmengine - INFO - Epoch(val) [71][310/310] acc/top1: 0.6528 acc/top5: 0.8563 acc/mean1: 0.6526 2022/06/28 14:22:31 - mmengine - INFO - Epoch(train) [72][20/3757] lr: 1.000e-03 eta: 8:01:49 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 8.3154 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6740 loss: 1.6740 2022/06/28 14:22:37 - mmengine - INFO - Epoch(train) [72][40/3757] lr: 1.000e-03 eta: 8:01:44 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 7.8621 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.3644 loss: 1.3644 2022/06/28 14:22:41 - mmengine - INFO - Epoch(train) [72][60/3757] lr: 1.000e-03 eta: 8:01:38 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 8.1754 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4386 loss: 1.4386 2022/06/28 14:22:47 - mmengine - INFO - Epoch(train) [72][80/3757] lr: 1.000e-03 eta: 8:01:33 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 7.8556 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0529 loss: 1.0529 2022/06/28 14:22:53 - mmengine - INFO - Epoch(train) [72][100/3757] lr: 1.000e-03 eta: 8:01:28 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 7.4340 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4145 loss: 1.4145 2022/06/28 14:22:57 - mmengine - INFO - Epoch(train) [72][120/3757] lr: 1.000e-03 eta: 8:01:22 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 7.2500 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3024 loss: 1.3024 2022/06/28 14:23:03 - mmengine - INFO - Epoch(train) [72][140/3757] lr: 1.000e-03 eta: 8:01:17 time: 0.221 data_time: 0.007 memory: 5148 grad_norm: 8.7869 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6189 loss: 1.6189 2022/06/28 14:23:08 - mmengine - INFO - Epoch(train) [72][160/3757] lr: 1.000e-03 eta: 8:01:12 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 8.5793 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2892 loss: 1.2892 2022/06/28 14:23:13 - mmengine - INFO - Epoch(train) [72][180/3757] lr: 1.000e-03 eta: 8:01:06 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 9.2748 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4216 loss: 1.4216 2022/06/28 14:23:19 - mmengine - INFO - Epoch(train) [72][200/3757] lr: 1.000e-03 eta: 8:01:01 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 7.7900 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6579 loss: 1.6579 2022/06/28 14:23:24 - mmengine - INFO - Epoch(train) [72][220/3757] lr: 1.000e-03 eta: 8:00:56 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 7.7817 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3815 loss: 1.3815 2022/06/28 14:23:29 - mmengine - INFO - Epoch(train) [72][240/3757] lr: 1.000e-03 eta: 8:00:50 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 7.7791 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2513 loss: 1.2513 2022/06/28 14:23:34 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 14:23:35 - mmengine - INFO - Epoch(train) [72][260/3757] lr: 1.000e-03 eta: 8:00:45 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 7.6064 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4023 loss: 1.4023 2022/06/28 14:23:40 - mmengine - INFO - Epoch(train) [72][280/3757] lr: 1.000e-03 eta: 8:00:40 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 9.3570 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.5211 loss: 1.5211 2022/06/28 14:23:45 - mmengine - INFO - Epoch(train) [72][300/3757] lr: 1.000e-03 eta: 8:00:34 time: 0.220 data_time: 0.007 memory: 5148 grad_norm: 7.6913 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5974 loss: 1.5974 2022/06/28 14:23:51 - mmengine - INFO - Epoch(train) [72][320/3757] lr: 1.000e-03 eta: 8:00:29 time: 0.199 data_time: 0.009 memory: 5148 grad_norm: 8.0469 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5094 loss: 1.5094 2022/06/28 14:23:57 - mmengine - INFO - Epoch(train) [72][340/3757] lr: 1.000e-03 eta: 8:00:24 time: 0.211 data_time: 0.025 memory: 5148 grad_norm: 7.4538 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7383 loss: 1.7383 2022/06/28 14:24:01 - mmengine - INFO - Epoch(train) [72][360/3757] lr: 1.000e-03 eta: 8:00:19 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 8.9409 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1269 loss: 1.1269 2022/06/28 14:24:07 - mmengine - INFO - Epoch(train) [72][380/3757] lr: 1.000e-03 eta: 8:00:13 time: 0.194 data_time: 0.011 memory: 5148 grad_norm: 8.2169 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2270 loss: 1.2270 2022/06/28 14:24:12 - mmengine - INFO - Epoch(train) [72][400/3757] lr: 1.000e-03 eta: 8:00:08 time: 0.233 data_time: 0.012 memory: 5148 grad_norm: 8.4174 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3414 loss: 1.3414 2022/06/28 14:24:17 - mmengine - INFO - Epoch(train) [72][420/3757] lr: 1.000e-03 eta: 8:00:03 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 7.8882 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5713 loss: 1.5713 2022/06/28 14:24:23 - mmengine - INFO - Epoch(train) [72][440/3757] lr: 1.000e-03 eta: 7:59:58 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 8.1197 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3505 loss: 1.3505 2022/06/28 14:24:28 - mmengine - INFO - Epoch(train) [72][460/3757] lr: 1.000e-03 eta: 7:59:52 time: 0.193 data_time: 0.013 memory: 5148 grad_norm: 9.1071 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4345 loss: 1.4345 2022/06/28 14:24:33 - mmengine - INFO - Epoch(train) [72][480/3757] lr: 1.000e-03 eta: 7:59:47 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 8.6405 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4377 loss: 1.4377 2022/06/28 14:24:38 - mmengine - INFO - Epoch(train) [72][500/3757] lr: 1.000e-03 eta: 7:59:41 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 8.0579 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4982 loss: 1.4982 2022/06/28 14:24:44 - mmengine - INFO - Epoch(train) [72][520/3757] lr: 1.000e-03 eta: 7:59:36 time: 0.206 data_time: 0.019 memory: 5148 grad_norm: 8.2322 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2072 loss: 1.2072 2022/06/28 14:24:48 - mmengine - INFO - Epoch(train) [72][540/3757] lr: 1.000e-03 eta: 7:59:31 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.9911 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1069 loss: 1.1069 2022/06/28 14:24:55 - mmengine - INFO - Epoch(train) [72][560/3757] lr: 1.000e-03 eta: 7:59:26 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 8.0312 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4421 loss: 1.4421 2022/06/28 14:25:00 - mmengine - INFO - Epoch(train) [72][580/3757] lr: 1.000e-03 eta: 7:59:20 time: 0.202 data_time: 0.020 memory: 5148 grad_norm: 7.7546 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1810 loss: 1.1810 2022/06/28 14:25:05 - mmengine - INFO - Epoch(train) [72][600/3757] lr: 1.000e-03 eta: 7:59:15 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 9.7058 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2505 loss: 1.2505 2022/06/28 14:25:11 - mmengine - INFO - Epoch(train) [72][620/3757] lr: 1.000e-03 eta: 7:59:10 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 7.3544 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0568 loss: 1.0568 2022/06/28 14:25:16 - mmengine - INFO - Epoch(train) [72][640/3757] lr: 1.000e-03 eta: 7:59:04 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 7.6375 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3076 loss: 1.3076 2022/06/28 14:25:20 - mmengine - INFO - Epoch(train) [72][660/3757] lr: 1.000e-03 eta: 7:58:59 time: 0.207 data_time: 0.009 memory: 5148 grad_norm: 8.6395 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4146 loss: 1.4146 2022/06/28 14:25:26 - mmengine - INFO - Epoch(train) [72][680/3757] lr: 1.000e-03 eta: 7:58:53 time: 0.206 data_time: 0.019 memory: 5148 grad_norm: 7.7685 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9845 loss: 0.9845 2022/06/28 14:25:31 - mmengine - INFO - Epoch(train) [72][700/3757] lr: 1.000e-03 eta: 7:58:48 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 8.3958 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1965 loss: 1.1965 2022/06/28 14:25:36 - mmengine - INFO - Epoch(train) [72][720/3757] lr: 1.000e-03 eta: 7:58:43 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 8.5357 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5247 loss: 1.5247 2022/06/28 14:25:41 - mmengine - INFO - Epoch(train) [72][740/3757] lr: 1.000e-03 eta: 7:58:37 time: 0.211 data_time: 0.013 memory: 5148 grad_norm: 7.2048 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3273 loss: 1.3273 2022/06/28 14:25:47 - mmengine - INFO - Epoch(train) [72][760/3757] lr: 1.000e-03 eta: 7:58:32 time: 0.200 data_time: 0.022 memory: 5148 grad_norm: 8.0512 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0013 loss: 1.0013 2022/06/28 14:25:51 - mmengine - INFO - Epoch(train) [72][780/3757] lr: 1.000e-03 eta: 7:58:26 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 8.6397 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2598 loss: 1.2598 2022/06/28 14:25:57 - mmengine - INFO - Epoch(train) [72][800/3757] lr: 1.000e-03 eta: 7:58:21 time: 0.223 data_time: 0.008 memory: 5148 grad_norm: 9.2935 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6251 loss: 1.6251 2022/06/28 14:26:02 - mmengine - INFO - Epoch(train) [72][820/3757] lr: 1.000e-03 eta: 7:58:16 time: 0.248 data_time: 0.014 memory: 5148 grad_norm: 6.9690 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1217 loss: 1.1217 2022/06/28 14:26:07 - mmengine - INFO - Epoch(train) [72][840/3757] lr: 1.000e-03 eta: 7:58:10 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 8.4625 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3006 loss: 1.3006 2022/06/28 14:26:12 - mmengine - INFO - Epoch(train) [72][860/3757] lr: 1.000e-03 eta: 7:58:05 time: 0.283 data_time: 0.011 memory: 5148 grad_norm: 9.2222 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0441 loss: 1.0441 2022/06/28 14:26:18 - mmengine - INFO - Epoch(train) [72][880/3757] lr: 1.000e-03 eta: 7:58:00 time: 0.216 data_time: 0.031 memory: 5148 grad_norm: 9.4152 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1665 loss: 1.1665 2022/06/28 14:26:23 - mmengine - INFO - Epoch(train) [72][900/3757] lr: 1.000e-03 eta: 7:57:55 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 8.4426 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5043 loss: 1.5043 2022/06/28 14:26:29 - mmengine - INFO - Epoch(train) [72][920/3757] lr: 1.000e-03 eta: 7:57:49 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 9.5715 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3091 loss: 1.3091 2022/06/28 14:26:34 - mmengine - INFO - Epoch(train) [72][940/3757] lr: 1.000e-03 eta: 7:57:44 time: 0.200 data_time: 0.025 memory: 5148 grad_norm: 7.2039 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3500 loss: 1.3500 2022/06/28 14:26:39 - mmengine - INFO - Epoch(train) [72][960/3757] lr: 1.000e-03 eta: 7:57:39 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 9.2434 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5265 loss: 1.5265 2022/06/28 14:26:45 - mmengine - INFO - Epoch(train) [72][980/3757] lr: 1.000e-03 eta: 7:57:33 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 7.3593 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2837 loss: 1.2837 2022/06/28 14:26:50 - mmengine - INFO - Epoch(train) [72][1000/3757] lr: 1.000e-03 eta: 7:57:28 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 7.5245 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2715 loss: 1.2715 2022/06/28 14:26:56 - mmengine - INFO - Epoch(train) [72][1020/3757] lr: 1.000e-03 eta: 7:57:23 time: 0.220 data_time: 0.011 memory: 5148 grad_norm: 9.7325 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1891 loss: 1.1891 2022/06/28 14:27:01 - mmengine - INFO - Epoch(train) [72][1040/3757] lr: 1.000e-03 eta: 7:57:18 time: 0.261 data_time: 0.008 memory: 5148 grad_norm: 7.9172 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6945 loss: 1.6945 2022/06/28 14:27:06 - mmengine - INFO - Epoch(train) [72][1060/3757] lr: 1.000e-03 eta: 7:57:12 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 9.0356 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2356 loss: 1.2356 2022/06/28 14:27:12 - mmengine - INFO - Epoch(train) [72][1080/3757] lr: 1.000e-03 eta: 7:57:07 time: 0.221 data_time: 0.010 memory: 5148 grad_norm: 6.9888 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0130 loss: 1.0130 2022/06/28 14:27:17 - mmengine - INFO - Epoch(train) [72][1100/3757] lr: 1.000e-03 eta: 7:57:02 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 6.9839 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3311 loss: 1.3311 2022/06/28 14:27:23 - mmengine - INFO - Epoch(train) [72][1120/3757] lr: 1.000e-03 eta: 7:56:57 time: 0.227 data_time: 0.016 memory: 5148 grad_norm: 8.6706 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8903 loss: 0.8903 2022/06/28 14:27:28 - mmengine - INFO - Epoch(train) [72][1140/3757] lr: 1.000e-03 eta: 7:56:51 time: 0.214 data_time: 0.008 memory: 5148 grad_norm: 7.7138 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4668 loss: 1.4668 2022/06/28 14:27:34 - mmengine - INFO - Epoch(train) [72][1160/3757] lr: 1.000e-03 eta: 7:56:46 time: 0.458 data_time: 0.007 memory: 5148 grad_norm: 7.4551 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4529 loss: 1.4529 2022/06/28 14:27:38 - mmengine - INFO - Epoch(train) [72][1180/3757] lr: 1.000e-03 eta: 7:56:41 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 9.3290 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5031 loss: 1.5031 2022/06/28 14:27:44 - mmengine - INFO - Epoch(train) [72][1200/3757] lr: 1.000e-03 eta: 7:56:35 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 8.8327 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1101 loss: 1.1101 2022/06/28 14:27:49 - mmengine - INFO - Epoch(train) [72][1220/3757] lr: 1.000e-03 eta: 7:56:30 time: 0.626 data_time: 0.016 memory: 5148 grad_norm: 7.9966 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3036 loss: 1.3036 2022/06/28 14:27:55 - mmengine - INFO - Epoch(train) [72][1240/3757] lr: 1.000e-03 eta: 7:56:25 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 10.4528 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1025 loss: 1.1025 2022/06/28 14:27:58 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 14:27:59 - mmengine - INFO - Epoch(train) [72][1260/3757] lr: 1.000e-03 eta: 7:56:19 time: 0.204 data_time: 0.014 memory: 5148 grad_norm: 7.8814 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9551 loss: 0.9551 2022/06/28 14:28:05 - mmengine - INFO - Epoch(train) [72][1280/3757] lr: 1.000e-03 eta: 7:56:14 time: 0.264 data_time: 0.007 memory: 5148 grad_norm: 9.6243 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8228 loss: 0.8228 2022/06/28 14:28:10 - mmengine - INFO - Epoch(train) [72][1300/3757] lr: 1.000e-03 eta: 7:56:09 time: 0.199 data_time: 0.014 memory: 5148 grad_norm: 6.4786 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3498 loss: 1.3498 2022/06/28 14:28:15 - mmengine - INFO - Epoch(train) [72][1320/3757] lr: 1.000e-03 eta: 7:56:03 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 7.6965 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5682 loss: 1.5682 2022/06/28 14:28:21 - mmengine - INFO - Epoch(train) [72][1340/3757] lr: 1.000e-03 eta: 7:55:58 time: 0.545 data_time: 0.008 memory: 5148 grad_norm: 10.3871 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2840 loss: 1.2840 2022/06/28 14:28:26 - mmengine - INFO - Epoch(train) [72][1360/3757] lr: 1.000e-03 eta: 7:55:53 time: 0.213 data_time: 0.011 memory: 5148 grad_norm: 7.8219 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1228 loss: 1.1228 2022/06/28 14:28:31 - mmengine - INFO - Epoch(train) [72][1380/3757] lr: 1.000e-03 eta: 7:55:47 time: 0.222 data_time: 0.007 memory: 5148 grad_norm: 7.4745 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0316 loss: 1.0316 2022/06/28 14:28:36 - mmengine - INFO - Epoch(train) [72][1400/3757] lr: 1.000e-03 eta: 7:55:42 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 9.5099 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1947 loss: 1.1947 2022/06/28 14:28:41 - mmengine - INFO - Epoch(train) [72][1420/3757] lr: 1.000e-03 eta: 7:55:36 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 9.2952 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4679 loss: 1.4679 2022/06/28 14:28:47 - mmengine - INFO - Epoch(train) [72][1440/3757] lr: 1.000e-03 eta: 7:55:31 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 9.7059 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7146 loss: 1.7146 2022/06/28 14:28:52 - mmengine - INFO - Epoch(train) [72][1460/3757] lr: 1.000e-03 eta: 7:55:26 time: 0.436 data_time: 0.010 memory: 5148 grad_norm: 7.3830 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3184 loss: 1.3184 2022/06/28 14:28:58 - mmengine - INFO - Epoch(train) [72][1480/3757] lr: 1.000e-03 eta: 7:55:21 time: 0.195 data_time: 0.009 memory: 5148 grad_norm: 8.4113 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0739 loss: 1.0739 2022/06/28 14:29:03 - mmengine - INFO - Epoch(train) [72][1500/3757] lr: 1.000e-03 eta: 7:55:15 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 8.8880 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2599 loss: 1.2599 2022/06/28 14:29:08 - mmengine - INFO - Epoch(train) [72][1520/3757] lr: 1.000e-03 eta: 7:55:10 time: 0.238 data_time: 0.007 memory: 5148 grad_norm: 7.6705 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1172 loss: 1.1172 2022/06/28 14:29:14 - mmengine - INFO - Epoch(train) [72][1540/3757] lr: 1.000e-03 eta: 7:55:05 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 8.1803 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6584 loss: 1.6584 2022/06/28 14:29:19 - mmengine - INFO - Epoch(train) [72][1560/3757] lr: 1.000e-03 eta: 7:55:00 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 7.4355 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2410 loss: 1.2410 2022/06/28 14:29:24 - mmengine - INFO - Epoch(train) [72][1580/3757] lr: 1.000e-03 eta: 7:54:54 time: 0.510 data_time: 0.014 memory: 5148 grad_norm: 6.8109 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8935 loss: 0.8935 2022/06/28 14:29:29 - mmengine - INFO - Epoch(train) [72][1600/3757] lr: 1.000e-03 eta: 7:54:49 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 8.3970 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3244 loss: 1.3244 2022/06/28 14:29:34 - mmengine - INFO - Epoch(train) [72][1620/3757] lr: 1.000e-03 eta: 7:54:43 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 10.8364 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4558 loss: 1.4558 2022/06/28 14:29:40 - mmengine - INFO - Epoch(train) [72][1640/3757] lr: 1.000e-03 eta: 7:54:38 time: 0.228 data_time: 0.011 memory: 5148 grad_norm: 7.9589 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3472 loss: 1.3472 2022/06/28 14:29:45 - mmengine - INFO - Epoch(train) [72][1660/3757] lr: 1.000e-03 eta: 7:54:33 time: 0.280 data_time: 0.012 memory: 5148 grad_norm: 7.3382 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5512 loss: 1.5512 2022/06/28 14:29:50 - mmengine - INFO - Epoch(train) [72][1680/3757] lr: 1.000e-03 eta: 7:54:27 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 8.8583 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3164 loss: 1.3164 2022/06/28 14:29:56 - mmengine - INFO - Epoch(train) [72][1700/3757] lr: 1.000e-03 eta: 7:54:22 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 8.7470 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0933 loss: 1.0933 2022/06/28 14:30:02 - mmengine - INFO - Epoch(train) [72][1720/3757] lr: 1.000e-03 eta: 7:54:17 time: 0.235 data_time: 0.010 memory: 5148 grad_norm: 8.2156 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4176 loss: 1.4176 2022/06/28 14:30:07 - mmengine - INFO - Epoch(train) [72][1740/3757] lr: 1.000e-03 eta: 7:54:12 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 7.0416 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2897 loss: 1.2897 2022/06/28 14:30:13 - mmengine - INFO - Epoch(train) [72][1760/3757] lr: 1.000e-03 eta: 7:54:07 time: 0.288 data_time: 0.010 memory: 5148 grad_norm: 9.9920 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1726 loss: 1.1726 2022/06/28 14:30:18 - mmengine - INFO - Epoch(train) [72][1780/3757] lr: 1.000e-03 eta: 7:54:01 time: 0.214 data_time: 0.008 memory: 5148 grad_norm: 8.1931 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4644 loss: 1.4644 2022/06/28 14:30:23 - mmengine - INFO - Epoch(train) [72][1800/3757] lr: 1.000e-03 eta: 7:53:56 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 9.6051 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3471 loss: 1.3471 2022/06/28 14:30:28 - mmengine - INFO - Epoch(train) [72][1820/3757] lr: 1.000e-03 eta: 7:53:51 time: 0.210 data_time: 0.010 memory: 5148 grad_norm: 6.8743 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1900 loss: 1.1900 2022/06/28 14:30:34 - mmengine - INFO - Epoch(train) [72][1840/3757] lr: 1.000e-03 eta: 7:53:45 time: 0.416 data_time: 0.016 memory: 5148 grad_norm: 8.2708 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2340 loss: 1.2340 2022/06/28 14:30:39 - mmengine - INFO - Epoch(train) [72][1860/3757] lr: 1.000e-03 eta: 7:53:40 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 7.7004 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3145 loss: 1.3145 2022/06/28 14:30:44 - mmengine - INFO - Epoch(train) [72][1880/3757] lr: 1.000e-03 eta: 7:53:35 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 9.5220 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2673 loss: 1.2673 2022/06/28 14:30:50 - mmengine - INFO - Epoch(train) [72][1900/3757] lr: 1.000e-03 eta: 7:53:30 time: 0.670 data_time: 0.007 memory: 5148 grad_norm: 8.4149 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3448 loss: 1.3448 2022/06/28 14:30:55 - mmengine - INFO - Epoch(train) [72][1920/3757] lr: 1.000e-03 eta: 7:53:24 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 7.4316 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4916 loss: 1.4916 2022/06/28 14:31:00 - mmengine - INFO - Epoch(train) [72][1940/3757] lr: 1.000e-03 eta: 7:53:19 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 9.2043 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4842 loss: 1.4842 2022/06/28 14:31:05 - mmengine - INFO - Epoch(train) [72][1960/3757] lr: 1.000e-03 eta: 7:53:13 time: 0.277 data_time: 0.008 memory: 5148 grad_norm: 9.0576 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2556 loss: 1.2556 2022/06/28 14:31:10 - mmengine - INFO - Epoch(train) [72][1980/3757] lr: 1.000e-03 eta: 7:53:08 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 8.4944 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8270 loss: 1.8270 2022/06/28 14:31:16 - mmengine - INFO - Epoch(train) [72][2000/3757] lr: 1.000e-03 eta: 7:53:03 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 8.1895 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0430 loss: 1.0430 2022/06/28 14:31:22 - mmengine - INFO - Epoch(train) [72][2020/3757] lr: 1.000e-03 eta: 7:52:58 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 7.6273 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1573 loss: 1.1573 2022/06/28 14:31:26 - mmengine - INFO - Epoch(train) [72][2040/3757] lr: 1.000e-03 eta: 7:52:52 time: 0.199 data_time: 0.009 memory: 5148 grad_norm: 7.0313 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1894 loss: 1.1894 2022/06/28 14:31:32 - mmengine - INFO - Epoch(train) [72][2060/3757] lr: 1.000e-03 eta: 7:52:47 time: 0.190 data_time: 0.007 memory: 5148 grad_norm: 7.7074 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4774 loss: 1.4774 2022/06/28 14:31:38 - mmengine - INFO - Epoch(train) [72][2080/3757] lr: 1.000e-03 eta: 7:52:42 time: 0.213 data_time: 0.011 memory: 5148 grad_norm: 8.6453 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.3053 loss: 1.3053 2022/06/28 14:31:43 - mmengine - INFO - Epoch(train) [72][2100/3757] lr: 1.000e-03 eta: 7:52:36 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 7.5129 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3952 loss: 1.3952 2022/06/28 14:31:48 - mmengine - INFO - Epoch(train) [72][2120/3757] lr: 1.000e-03 eta: 7:52:31 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 9.0304 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5224 loss: 1.5224 2022/06/28 14:31:54 - mmengine - INFO - Epoch(train) [72][2140/3757] lr: 1.000e-03 eta: 7:52:26 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 6.6501 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1955 loss: 1.1955 2022/06/28 14:31:59 - mmengine - INFO - Epoch(train) [72][2160/3757] lr: 1.000e-03 eta: 7:52:20 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 7.9276 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1905 loss: 1.1905 2022/06/28 14:32:04 - mmengine - INFO - Epoch(train) [72][2180/3757] lr: 1.000e-03 eta: 7:52:15 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 7.6055 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2784 loss: 1.2784 2022/06/28 14:32:10 - mmengine - INFO - Epoch(train) [72][2200/3757] lr: 1.000e-03 eta: 7:52:10 time: 0.213 data_time: 0.009 memory: 5148 grad_norm: 7.5151 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6111 loss: 1.6111 2022/06/28 14:32:14 - mmengine - INFO - Epoch(train) [72][2220/3757] lr: 1.000e-03 eta: 7:52:04 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 9.0136 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2705 loss: 1.2705 2022/06/28 14:32:20 - mmengine - INFO - Epoch(train) [72][2240/3757] lr: 1.000e-03 eta: 7:51:59 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 8.3790 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0544 loss: 1.0544 2022/06/28 14:32:23 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 14:32:25 - mmengine - INFO - Epoch(train) [72][2260/3757] lr: 1.000e-03 eta: 7:51:54 time: 0.209 data_time: 0.023 memory: 5148 grad_norm: 8.8782 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3022 loss: 1.3022 2022/06/28 14:32:30 - mmengine - INFO - Epoch(train) [72][2280/3757] lr: 1.000e-03 eta: 7:51:48 time: 0.200 data_time: 0.015 memory: 5148 grad_norm: 8.7333 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3556 loss: 1.3556 2022/06/28 14:32:36 - mmengine - INFO - Epoch(train) [72][2300/3757] lr: 1.000e-03 eta: 7:51:43 time: 0.207 data_time: 0.013 memory: 5148 grad_norm: 8.5220 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3384 loss: 1.3384 2022/06/28 14:32:41 - mmengine - INFO - Epoch(train) [72][2320/3757] lr: 1.000e-03 eta: 7:51:38 time: 0.199 data_time: 0.016 memory: 5148 grad_norm: 7.1729 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4128 loss: 1.4128 2022/06/28 14:32:47 - mmengine - INFO - Epoch(train) [72][2340/3757] lr: 1.000e-03 eta: 7:51:33 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 8.3653 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7152 loss: 1.7152 2022/06/28 14:32:52 - mmengine - INFO - Epoch(train) [72][2360/3757] lr: 1.000e-03 eta: 7:51:27 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 8.2801 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1092 loss: 1.1092 2022/06/28 14:32:57 - mmengine - INFO - Epoch(train) [72][2380/3757] lr: 1.000e-03 eta: 7:51:22 time: 0.230 data_time: 0.009 memory: 5148 grad_norm: 8.2916 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2683 loss: 1.2683 2022/06/28 14:33:03 - mmengine - INFO - Epoch(train) [72][2400/3757] lr: 1.000e-03 eta: 7:51:17 time: 0.202 data_time: 0.015 memory: 5148 grad_norm: 7.4079 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1735 loss: 1.1735 2022/06/28 14:33:08 - mmengine - INFO - Epoch(train) [72][2420/3757] lr: 1.000e-03 eta: 7:51:11 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 8.5228 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5712 loss: 1.5712 2022/06/28 14:33:14 - mmengine - INFO - Epoch(train) [72][2440/3757] lr: 1.000e-03 eta: 7:51:06 time: 0.234 data_time: 0.008 memory: 5148 grad_norm: 7.9259 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4936 loss: 1.4936 2022/06/28 14:33:19 - mmengine - INFO - Epoch(train) [72][2460/3757] lr: 1.000e-03 eta: 7:51:01 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 8.8325 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4935 loss: 1.4935 2022/06/28 14:33:24 - mmengine - INFO - Epoch(train) [72][2480/3757] lr: 1.000e-03 eta: 7:50:55 time: 0.202 data_time: 0.012 memory: 5148 grad_norm: 9.2335 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2841 loss: 1.2841 2022/06/28 14:33:30 - mmengine - INFO - Epoch(train) [72][2500/3757] lr: 1.000e-03 eta: 7:50:50 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 7.9787 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1655 loss: 1.1655 2022/06/28 14:33:35 - mmengine - INFO - Epoch(train) [72][2520/3757] lr: 1.000e-03 eta: 7:50:45 time: 0.206 data_time: 0.009 memory: 5148 grad_norm: 8.6620 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.5213 loss: 1.5213 2022/06/28 14:33:40 - mmengine - INFO - Epoch(train) [72][2540/3757] lr: 1.000e-03 eta: 7:50:39 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 8.8696 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6381 loss: 1.6381 2022/06/28 14:33:45 - mmengine - INFO - Epoch(train) [72][2560/3757] lr: 1.000e-03 eta: 7:50:34 time: 0.261 data_time: 0.007 memory: 5148 grad_norm: 6.7552 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3167 loss: 1.3167 2022/06/28 14:33:51 - mmengine - INFO - Epoch(train) [72][2580/3757] lr: 1.000e-03 eta: 7:50:29 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 8.2859 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3535 loss: 1.3535 2022/06/28 14:33:56 - mmengine - INFO - Epoch(train) [72][2600/3757] lr: 1.000e-03 eta: 7:50:23 time: 0.205 data_time: 0.016 memory: 5148 grad_norm: 9.9454 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4341 loss: 1.4341 2022/06/28 14:34:01 - mmengine - INFO - Epoch(train) [72][2620/3757] lr: 1.000e-03 eta: 7:50:18 time: 0.225 data_time: 0.014 memory: 5148 grad_norm: 9.5894 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9393 loss: 0.9393 2022/06/28 14:34:06 - mmengine - INFO - Epoch(train) [72][2640/3757] lr: 1.000e-03 eta: 7:50:13 time: 0.198 data_time: 0.012 memory: 5148 grad_norm: 9.0999 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5057 loss: 1.5057 2022/06/28 14:34:11 - mmengine - INFO - Epoch(train) [72][2660/3757] lr: 1.000e-03 eta: 7:50:07 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 6.7509 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6982 loss: 1.6982 2022/06/28 14:34:17 - mmengine - INFO - Epoch(train) [72][2680/3757] lr: 1.000e-03 eta: 7:50:02 time: 0.209 data_time: 0.012 memory: 5148 grad_norm: 8.5886 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3190 loss: 1.3190 2022/06/28 14:34:23 - mmengine - INFO - Epoch(train) [72][2700/3757] lr: 1.000e-03 eta: 7:49:57 time: 0.224 data_time: 0.030 memory: 5148 grad_norm: 8.8704 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2887 loss: 1.2887 2022/06/28 14:34:28 - mmengine - INFO - Epoch(train) [72][2720/3757] lr: 1.000e-03 eta: 7:49:52 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 8.0181 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1183 loss: 1.1183 2022/06/28 14:34:34 - mmengine - INFO - Epoch(train) [72][2740/3757] lr: 1.000e-03 eta: 7:49:47 time: 0.219 data_time: 0.016 memory: 5148 grad_norm: 7.7954 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.1934 loss: 1.1934 2022/06/28 14:34:39 - mmengine - INFO - Epoch(train) [72][2760/3757] lr: 1.000e-03 eta: 7:49:41 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 8.7886 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1563 loss: 1.1563 2022/06/28 14:34:44 - mmengine - INFO - Epoch(train) [72][2780/3757] lr: 1.000e-03 eta: 7:49:36 time: 0.197 data_time: 0.018 memory: 5148 grad_norm: 8.2856 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1607 loss: 1.1607 2022/06/28 14:34:49 - mmengine - INFO - Epoch(train) [72][2800/3757] lr: 1.000e-03 eta: 7:49:31 time: 0.222 data_time: 0.035 memory: 5148 grad_norm: 7.1540 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9705 loss: 0.9705 2022/06/28 14:34:55 - mmengine - INFO - Epoch(train) [72][2820/3757] lr: 1.000e-03 eta: 7:49:25 time: 0.232 data_time: 0.018 memory: 5148 grad_norm: 9.0606 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8103 loss: 1.8103 2022/06/28 14:34:59 - mmengine - INFO - Epoch(train) [72][2840/3757] lr: 1.000e-03 eta: 7:49:20 time: 0.204 data_time: 0.016 memory: 5148 grad_norm: 7.9806 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4303 loss: 1.4303 2022/06/28 14:35:06 - mmengine - INFO - Epoch(train) [72][2860/3757] lr: 1.000e-03 eta: 7:49:15 time: 0.212 data_time: 0.010 memory: 5148 grad_norm: 5.8812 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2714 loss: 1.2714 2022/06/28 14:35:11 - mmengine - INFO - Epoch(train) [72][2880/3757] lr: 1.000e-03 eta: 7:49:09 time: 0.219 data_time: 0.010 memory: 5148 grad_norm: 8.9110 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1518 loss: 1.1518 2022/06/28 14:35:16 - mmengine - INFO - Epoch(train) [72][2900/3757] lr: 1.000e-03 eta: 7:49:04 time: 0.206 data_time: 0.013 memory: 5148 grad_norm: 9.6368 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3674 loss: 1.3674 2022/06/28 14:35:21 - mmengine - INFO - Epoch(train) [72][2920/3757] lr: 1.000e-03 eta: 7:48:58 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 8.2282 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0963 loss: 1.0963 2022/06/28 14:35:26 - mmengine - INFO - Epoch(train) [72][2940/3757] lr: 1.000e-03 eta: 7:48:53 time: 0.207 data_time: 0.016 memory: 5148 grad_norm: 7.4865 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1479 loss: 1.1479 2022/06/28 14:35:31 - mmengine - INFO - Epoch(train) [72][2960/3757] lr: 1.000e-03 eta: 7:48:48 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 8.4173 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9852 loss: 1.9852 2022/06/28 14:35:37 - mmengine - INFO - Epoch(train) [72][2980/3757] lr: 1.000e-03 eta: 7:48:43 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 7.5833 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2098 loss: 1.2098 2022/06/28 14:35:43 - mmengine - INFO - Epoch(train) [72][3000/3757] lr: 1.000e-03 eta: 7:48:37 time: 0.218 data_time: 0.022 memory: 5148 grad_norm: 9.4939 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4833 loss: 1.4833 2022/06/28 14:35:47 - mmengine - INFO - Epoch(train) [72][3020/3757] lr: 1.000e-03 eta: 7:48:32 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 9.2745 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3087 loss: 1.3087 2022/06/28 14:35:53 - mmengine - INFO - Epoch(train) [72][3040/3757] lr: 1.000e-03 eta: 7:48:27 time: 0.190 data_time: 0.008 memory: 5148 grad_norm: 8.0231 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0950 loss: 1.0950 2022/06/28 14:35:59 - mmengine - INFO - Epoch(train) [72][3060/3757] lr: 1.000e-03 eta: 7:48:22 time: 0.224 data_time: 0.012 memory: 5148 grad_norm: 8.2613 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4452 loss: 1.4452 2022/06/28 14:36:04 - mmengine - INFO - Epoch(train) [72][3080/3757] lr: 1.000e-03 eta: 7:48:16 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 8.4811 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1689 loss: 1.1689 2022/06/28 14:36:09 - mmengine - INFO - Epoch(train) [72][3100/3757] lr: 1.000e-03 eta: 7:48:11 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 8.0026 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1794 loss: 1.1794 2022/06/28 14:36:15 - mmengine - INFO - Epoch(train) [72][3120/3757] lr: 1.000e-03 eta: 7:48:06 time: 0.216 data_time: 0.010 memory: 5148 grad_norm: 8.0144 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1671 loss: 1.1671 2022/06/28 14:36:20 - mmengine - INFO - Epoch(train) [72][3140/3757] lr: 1.000e-03 eta: 7:48:00 time: 0.199 data_time: 0.012 memory: 5148 grad_norm: 8.0564 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2338 loss: 1.2338 2022/06/28 14:36:25 - mmengine - INFO - Epoch(train) [72][3160/3757] lr: 1.000e-03 eta: 7:47:55 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 8.6866 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5428 loss: 1.5428 2022/06/28 14:36:30 - mmengine - INFO - Epoch(train) [72][3180/3757] lr: 1.000e-03 eta: 7:47:50 time: 0.214 data_time: 0.009 memory: 5148 grad_norm: 7.4771 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2814 loss: 1.2814 2022/06/28 14:36:35 - mmengine - INFO - Epoch(train) [72][3200/3757] lr: 1.000e-03 eta: 7:47:44 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 8.5373 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.6241 loss: 1.6241 2022/06/28 14:36:41 - mmengine - INFO - Epoch(train) [72][3220/3757] lr: 1.000e-03 eta: 7:47:39 time: 0.197 data_time: 0.018 memory: 5148 grad_norm: 7.2898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9948 loss: 0.9948 2022/06/28 14:36:46 - mmengine - INFO - Epoch(train) [72][3240/3757] lr: 1.000e-03 eta: 7:47:34 time: 0.208 data_time: 0.016 memory: 5148 grad_norm: 9.2371 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4112 loss: 1.4112 2022/06/28 14:36:50 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 14:36:51 - mmengine - INFO - Epoch(train) [72][3260/3757] lr: 1.000e-03 eta: 7:47:28 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 7.5643 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9948 loss: 0.9948 2022/06/28 14:36:57 - mmengine - INFO - Epoch(train) [72][3280/3757] lr: 1.000e-03 eta: 7:47:23 time: 0.201 data_time: 0.016 memory: 5148 grad_norm: 7.3093 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4817 loss: 1.4817 2022/06/28 14:37:03 - mmengine - INFO - Epoch(train) [72][3300/3757] lr: 1.000e-03 eta: 7:47:18 time: 0.222 data_time: 0.012 memory: 5148 grad_norm: 8.1453 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2212 loss: 1.2212 2022/06/28 14:37:07 - mmengine - INFO - Epoch(train) [72][3320/3757] lr: 1.000e-03 eta: 7:47:12 time: 0.200 data_time: 0.012 memory: 5148 grad_norm: 8.2350 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2152 loss: 1.2152 2022/06/28 14:37:13 - mmengine - INFO - Epoch(train) [72][3340/3757] lr: 1.000e-03 eta: 7:47:07 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 8.2064 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9393 loss: 0.9393 2022/06/28 14:37:18 - mmengine - INFO - Epoch(train) [72][3360/3757] lr: 1.000e-03 eta: 7:47:02 time: 0.217 data_time: 0.013 memory: 5148 grad_norm: 7.8301 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2447 loss: 1.2447 2022/06/28 14:37:23 - mmengine - INFO - Epoch(train) [72][3380/3757] lr: 1.000e-03 eta: 7:46:56 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 8.3401 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5127 loss: 1.5127 2022/06/28 14:37:28 - mmengine - INFO - Epoch(train) [72][3400/3757] lr: 1.000e-03 eta: 7:46:51 time: 0.214 data_time: 0.016 memory: 5148 grad_norm: 8.4816 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1246 loss: 1.1246 2022/06/28 14:37:34 - mmengine - INFO - Epoch(train) [72][3420/3757] lr: 1.000e-03 eta: 7:46:46 time: 0.211 data_time: 0.010 memory: 5148 grad_norm: 8.5210 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3261 loss: 1.3261 2022/06/28 14:37:38 - mmengine - INFO - Epoch(train) [72][3440/3757] lr: 1.000e-03 eta: 7:46:40 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 7.5566 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8970 loss: 0.8970 2022/06/28 14:37:44 - mmengine - INFO - Epoch(train) [72][3460/3757] lr: 1.000e-03 eta: 7:46:35 time: 0.202 data_time: 0.021 memory: 5148 grad_norm: 9.3795 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6804 loss: 1.6804 2022/06/28 14:37:50 - mmengine - INFO - Epoch(train) [72][3480/3757] lr: 1.000e-03 eta: 7:46:30 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 7.6501 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5401 loss: 1.5401 2022/06/28 14:37:54 - mmengine - INFO - Epoch(train) [72][3500/3757] lr: 1.000e-03 eta: 7:46:24 time: 0.211 data_time: 0.008 memory: 5148 grad_norm: 7.8364 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1941 loss: 1.1941 2022/06/28 14:38:01 - mmengine - INFO - Epoch(train) [72][3520/3757] lr: 1.000e-03 eta: 7:46:19 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 8.2598 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5950 loss: 1.5950 2022/06/28 14:38:05 - mmengine - INFO - Epoch(train) [72][3540/3757] lr: 1.000e-03 eta: 7:46:14 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 7.5005 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.3307 loss: 1.3307 2022/06/28 14:38:10 - mmengine - INFO - Epoch(train) [72][3560/3757] lr: 1.000e-03 eta: 7:46:08 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 9.8175 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3442 loss: 1.3442 2022/06/28 14:38:16 - mmengine - INFO - Epoch(train) [72][3580/3757] lr: 1.000e-03 eta: 7:46:03 time: 0.206 data_time: 0.029 memory: 5148 grad_norm: 8.9404 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2346 loss: 1.2346 2022/06/28 14:38:21 - mmengine - INFO - Epoch(train) [72][3600/3757] lr: 1.000e-03 eta: 7:45:58 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 9.6099 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2604 loss: 1.2604 2022/06/28 14:38:26 - mmengine - INFO - Epoch(train) [72][3620/3757] lr: 1.000e-03 eta: 7:45:52 time: 0.196 data_time: 0.013 memory: 5148 grad_norm: 8.4159 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2958 loss: 1.2958 2022/06/28 14:38:32 - mmengine - INFO - Epoch(train) [72][3640/3757] lr: 1.000e-03 eta: 7:45:47 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 8.6056 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5067 loss: 1.5067 2022/06/28 14:38:37 - mmengine - INFO - Epoch(train) [72][3660/3757] lr: 1.000e-03 eta: 7:45:42 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 7.0293 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4431 loss: 1.4431 2022/06/28 14:38:42 - mmengine - INFO - Epoch(train) [72][3680/3757] lr: 1.000e-03 eta: 7:45:37 time: 0.210 data_time: 0.013 memory: 5148 grad_norm: 8.4524 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2112 loss: 1.2112 2022/06/28 14:38:48 - mmengine - INFO - Epoch(train) [72][3700/3757] lr: 1.000e-03 eta: 7:45:31 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 7.6826 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1570 loss: 1.1570 2022/06/28 14:38:53 - mmengine - INFO - Epoch(train) [72][3720/3757] lr: 1.000e-03 eta: 7:45:26 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 8.2359 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1207 loss: 1.1207 2022/06/28 14:38:58 - mmengine - INFO - Epoch(train) [72][3740/3757] lr: 1.000e-03 eta: 7:45:20 time: 0.209 data_time: 0.016 memory: 5148 grad_norm: 8.0205 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6945 loss: 1.6945 2022/06/28 14:39:01 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 14:39:08 - mmengine - INFO - Epoch(val) [72][20/310] eta: 0:01:08 time: 0.118 data_time: 0.046 memory: 5148 2022/06/28 14:39:12 - mmengine - INFO - Epoch(val) [72][40/310] eta: 0:01:02 time: 0.079 data_time: 0.006 memory: 1367 2022/06/28 14:39:18 - mmengine - INFO - Epoch(val) [72][60/310] eta: 0:00:50 time: 0.086 data_time: 0.008 memory: 1367 2022/06/28 14:39:23 - mmengine - INFO - Epoch(val) [72][80/310] eta: 0:00:59 time: 0.207 data_time: 0.133 memory: 1367 2022/06/28 14:39:29 - mmengine - INFO - Epoch(val) [72][100/310] eta: 0:00:46 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 14:39:33 - mmengine - INFO - Epoch(val) [72][120/310] eta: 0:00:43 time: 0.081 data_time: 0.008 memory: 1367 2022/06/28 14:39:39 - mmengine - INFO - Epoch(val) [72][140/310] eta: 0:00:40 time: 0.079 data_time: 0.008 memory: 1367 2022/06/28 14:39:44 - mmengine - INFO - Epoch(val) [72][160/310] eta: 0:00:37 time: 0.215 data_time: 0.143 memory: 1367 2022/06/28 14:39:50 - mmengine - INFO - Epoch(val) [72][180/310] eta: 0:00:37 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 14:39:54 - mmengine - INFO - Epoch(val) [72][200/310] eta: 0:00:26 time: 0.187 data_time: 0.109 memory: 1367 2022/06/28 14:40:01 - mmengine - INFO - Epoch(val) [72][220/310] eta: 0:00:33 time: 0.084 data_time: 0.005 memory: 1367 2022/06/28 14:40:06 - mmengine - INFO - Epoch(val) [72][240/310] eta: 0:00:15 time: 0.085 data_time: 0.006 memory: 1367 2022/06/28 14:40:11 - mmengine - INFO - Epoch(val) [72][260/310] eta: 0:00:18 time: 0.091 data_time: 0.005 memory: 1367 2022/06/28 14:40:16 - mmengine - INFO - Epoch(val) [72][280/310] eta: 0:00:07 time: 0.084 data_time: 0.007 memory: 1367 2022/06/28 14:40:22 - mmengine - INFO - Epoch(val) [72][300/310] eta: 0:00:03 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 14:40:25 - mmengine - INFO - Epoch(val) [72][310/310] acc/top1: 0.6514 acc/top5: 0.8561 acc/mean1: 0.6513 2022/06/28 14:40:33 - mmengine - INFO - Epoch(train) [73][20/3757] lr: 1.000e-03 eta: 7:45:11 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 6.9383 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3793 loss: 1.3793 2022/06/28 14:40:39 - mmengine - INFO - Epoch(train) [73][40/3757] lr: 1.000e-03 eta: 7:45:06 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 8.9474 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8542 loss: 1.8542 2022/06/28 14:40:44 - mmengine - INFO - Epoch(train) [73][60/3757] lr: 1.000e-03 eta: 7:45:00 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 8.0774 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1297 loss: 1.1297 2022/06/28 14:40:49 - mmengine - INFO - Epoch(train) [73][80/3757] lr: 1.000e-03 eta: 7:44:55 time: 0.210 data_time: 0.010 memory: 5148 grad_norm: 6.7076 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0936 loss: 1.0936 2022/06/28 14:40:55 - mmengine - INFO - Epoch(train) [73][100/3757] lr: 1.000e-03 eta: 7:44:50 time: 0.233 data_time: 0.007 memory: 5148 grad_norm: 8.4537 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8668 loss: 0.8668 2022/06/28 14:41:00 - mmengine - INFO - Epoch(train) [73][120/3757] lr: 1.000e-03 eta: 7:44:44 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 7.8608 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1290 loss: 1.1290 2022/06/28 14:41:05 - mmengine - INFO - Epoch(train) [73][140/3757] lr: 1.000e-03 eta: 7:44:39 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 9.6651 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6988 loss: 1.6988 2022/06/28 14:41:11 - mmengine - INFO - Epoch(train) [73][160/3757] lr: 1.000e-03 eta: 7:44:34 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 8.9139 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2802 loss: 1.2802 2022/06/28 14:41:16 - mmengine - INFO - Epoch(train) [73][180/3757] lr: 1.000e-03 eta: 7:44:28 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 8.2418 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4038 loss: 1.4038 2022/06/28 14:41:22 - mmengine - INFO - Epoch(train) [73][200/3757] lr: 1.000e-03 eta: 7:44:23 time: 0.200 data_time: 0.019 memory: 5148 grad_norm: 8.8305 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2864 loss: 1.2864 2022/06/28 14:41:28 - mmengine - INFO - Epoch(train) [73][220/3757] lr: 1.000e-03 eta: 7:44:18 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 7.9942 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1812 loss: 1.1812 2022/06/28 14:41:33 - mmengine - INFO - Epoch(train) [73][240/3757] lr: 1.000e-03 eta: 7:44:13 time: 0.193 data_time: 0.008 memory: 5148 grad_norm: 7.6104 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1296 loss: 1.1296 2022/06/28 14:41:38 - mmengine - INFO - Epoch(train) [73][260/3757] lr: 1.000e-03 eta: 7:44:07 time: 0.207 data_time: 0.020 memory: 5148 grad_norm: 8.7312 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1599 loss: 1.1599 2022/06/28 14:41:44 - mmengine - INFO - Epoch(train) [73][280/3757] lr: 1.000e-03 eta: 7:44:02 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 7.7343 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3649 loss: 1.3649 2022/06/28 14:41:48 - mmengine - INFO - Epoch(train) [73][300/3757] lr: 1.000e-03 eta: 7:43:57 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 8.9539 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1635 loss: 1.1635 2022/06/28 14:41:54 - mmengine - INFO - Epoch(train) [73][320/3757] lr: 1.000e-03 eta: 7:43:51 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 7.5986 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3043 loss: 1.3043 2022/06/28 14:41:59 - mmengine - INFO - Epoch(train) [73][340/3757] lr: 1.000e-03 eta: 7:43:46 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 7.8491 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0983 loss: 1.0983 2022/06/28 14:42:04 - mmengine - INFO - Epoch(train) [73][360/3757] lr: 1.000e-03 eta: 7:43:41 time: 0.216 data_time: 0.021 memory: 5148 grad_norm: 8.7566 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3193 loss: 1.3193 2022/06/28 14:42:10 - mmengine - INFO - Epoch(train) [73][380/3757] lr: 1.000e-03 eta: 7:43:35 time: 0.214 data_time: 0.010 memory: 5148 grad_norm: 8.6789 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5523 loss: 1.5523 2022/06/28 14:42:15 - mmengine - INFO - Epoch(train) [73][400/3757] lr: 1.000e-03 eta: 7:43:30 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 7.8775 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5140 loss: 1.5140 2022/06/28 14:42:21 - mmengine - INFO - Epoch(train) [73][420/3757] lr: 1.000e-03 eta: 7:43:25 time: 0.200 data_time: 0.018 memory: 5148 grad_norm: 8.3071 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0811 loss: 1.0811 2022/06/28 14:42:26 - mmengine - INFO - Epoch(train) [73][440/3757] lr: 1.000e-03 eta: 7:43:20 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 8.4129 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2850 loss: 1.2850 2022/06/28 14:42:32 - mmengine - INFO - Epoch(train) [73][460/3757] lr: 1.000e-03 eta: 7:43:14 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 9.4007 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4587 loss: 1.4587 2022/06/28 14:42:37 - mmengine - INFO - Epoch(train) [73][480/3757] lr: 1.000e-03 eta: 7:43:09 time: 0.199 data_time: 0.015 memory: 5148 grad_norm: 8.9728 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4573 loss: 1.4573 2022/06/28 14:42:41 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 14:42:42 - mmengine - INFO - Epoch(train) [73][500/3757] lr: 1.000e-03 eta: 7:43:04 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 8.7953 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2953 loss: 1.2953 2022/06/28 14:42:48 - mmengine - INFO - Epoch(train) [73][520/3757] lr: 1.000e-03 eta: 7:42:59 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 8.6380 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3131 loss: 1.3131 2022/06/28 14:42:53 - mmengine - INFO - Epoch(train) [73][540/3757] lr: 1.000e-03 eta: 7:42:53 time: 0.211 data_time: 0.017 memory: 5148 grad_norm: 8.9378 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3067 loss: 1.3067 2022/06/28 14:42:58 - mmengine - INFO - Epoch(train) [73][560/3757] lr: 1.000e-03 eta: 7:42:48 time: 0.219 data_time: 0.041 memory: 5148 grad_norm: 8.3831 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4428 loss: 1.4428 2022/06/28 14:43:04 - mmengine - INFO - Epoch(train) [73][580/3757] lr: 1.000e-03 eta: 7:42:43 time: 0.215 data_time: 0.008 memory: 5148 grad_norm: 7.7021 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2153 loss: 1.2153 2022/06/28 14:43:09 - mmengine - INFO - Epoch(train) [73][600/3757] lr: 1.000e-03 eta: 7:42:37 time: 0.236 data_time: 0.048 memory: 5148 grad_norm: 7.7294 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1007 loss: 1.1007 2022/06/28 14:43:15 - mmengine - INFO - Epoch(train) [73][620/3757] lr: 1.000e-03 eta: 7:42:32 time: 0.208 data_time: 0.011 memory: 5148 grad_norm: 7.2544 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0684 loss: 1.0684 2022/06/28 14:43:20 - mmengine - INFO - Epoch(train) [73][640/3757] lr: 1.000e-03 eta: 7:42:27 time: 0.191 data_time: 0.010 memory: 5148 grad_norm: 9.1204 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3538 loss: 1.3538 2022/06/28 14:43:25 - mmengine - INFO - Epoch(train) [73][660/3757] lr: 1.000e-03 eta: 7:42:22 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 7.7041 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2023 loss: 1.2023 2022/06/28 14:43:30 - mmengine - INFO - Epoch(train) [73][680/3757] lr: 1.000e-03 eta: 7:42:16 time: 0.196 data_time: 0.009 memory: 5148 grad_norm: 7.9553 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1556 loss: 1.1556 2022/06/28 14:43:36 - mmengine - INFO - Epoch(train) [73][700/3757] lr: 1.000e-03 eta: 7:42:11 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 8.5900 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4314 loss: 1.4314 2022/06/28 14:43:41 - mmengine - INFO - Epoch(train) [73][720/3757] lr: 1.000e-03 eta: 7:42:06 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 7.7762 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1866 loss: 1.1866 2022/06/28 14:43:47 - mmengine - INFO - Epoch(train) [73][740/3757] lr: 1.000e-03 eta: 7:42:00 time: 0.208 data_time: 0.017 memory: 5148 grad_norm: 6.2860 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6278 loss: 1.6278 2022/06/28 14:43:52 - mmengine - INFO - Epoch(train) [73][760/3757] lr: 1.000e-03 eta: 7:41:55 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 9.0790 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0607 loss: 1.0607 2022/06/28 14:43:57 - mmengine - INFO - Epoch(train) [73][780/3757] lr: 1.000e-03 eta: 7:41:50 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 8.8907 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2741 loss: 1.2741 2022/06/28 14:44:03 - mmengine - INFO - Epoch(train) [73][800/3757] lr: 1.000e-03 eta: 7:41:44 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 9.1818 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.3931 loss: 1.3931 2022/06/28 14:44:08 - mmengine - INFO - Epoch(train) [73][820/3757] lr: 1.000e-03 eta: 7:41:39 time: 0.206 data_time: 0.020 memory: 5148 grad_norm: 7.7019 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3212 loss: 1.3212 2022/06/28 14:44:14 - mmengine - INFO - Epoch(train) [73][840/3757] lr: 1.000e-03 eta: 7:41:34 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 9.5431 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2145 loss: 1.2145 2022/06/28 14:44:18 - mmengine - INFO - Epoch(train) [73][860/3757] lr: 1.000e-03 eta: 7:41:28 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 7.7222 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3120 loss: 1.3120 2022/06/28 14:44:24 - mmengine - INFO - Epoch(train) [73][880/3757] lr: 1.000e-03 eta: 7:41:23 time: 0.239 data_time: 0.016 memory: 5148 grad_norm: 7.9514 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3385 loss: 1.3385 2022/06/28 14:44:30 - mmengine - INFO - Epoch(train) [73][900/3757] lr: 1.000e-03 eta: 7:41:18 time: 0.199 data_time: 0.014 memory: 5148 grad_norm: 7.9951 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0229 loss: 1.0229 2022/06/28 14:44:35 - mmengine - INFO - Epoch(train) [73][920/3757] lr: 1.000e-03 eta: 7:41:13 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 7.4265 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5941 loss: 1.5941 2022/06/28 14:44:40 - mmengine - INFO - Epoch(train) [73][940/3757] lr: 1.000e-03 eta: 7:41:07 time: 0.202 data_time: 0.014 memory: 5148 grad_norm: 8.1424 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4291 loss: 1.4291 2022/06/28 14:44:45 - mmengine - INFO - Epoch(train) [73][960/3757] lr: 1.000e-03 eta: 7:41:02 time: 0.215 data_time: 0.010 memory: 5148 grad_norm: 9.0652 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5138 loss: 1.5138 2022/06/28 14:44:50 - mmengine - INFO - Epoch(train) [73][980/3757] lr: 1.000e-03 eta: 7:40:57 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 7.9745 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9949 loss: 0.9949 2022/06/28 14:44:56 - mmengine - INFO - Epoch(train) [73][1000/3757] lr: 1.000e-03 eta: 7:40:51 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 7.7100 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5152 loss: 1.5152 2022/06/28 14:45:01 - mmengine - INFO - Epoch(train) [73][1020/3757] lr: 1.000e-03 eta: 7:40:46 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 8.9821 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3649 loss: 1.3649 2022/06/28 14:45:06 - mmengine - INFO - Epoch(train) [73][1040/3757] lr: 1.000e-03 eta: 7:40:41 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 8.5267 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4034 loss: 1.4034 2022/06/28 14:45:12 - mmengine - INFO - Epoch(train) [73][1060/3757] lr: 1.000e-03 eta: 7:40:35 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 8.3905 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1418 loss: 1.1418 2022/06/28 14:45:17 - mmengine - INFO - Epoch(train) [73][1080/3757] lr: 1.000e-03 eta: 7:40:30 time: 0.212 data_time: 0.012 memory: 5148 grad_norm: 7.9946 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3647 loss: 1.3647 2022/06/28 14:45:22 - mmengine - INFO - Epoch(train) [73][1100/3757] lr: 1.000e-03 eta: 7:40:24 time: 0.198 data_time: 0.012 memory: 5148 grad_norm: 11.2919 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2220 loss: 1.2220 2022/06/28 14:45:27 - mmengine - INFO - Epoch(train) [73][1120/3757] lr: 1.000e-03 eta: 7:40:19 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 6.8651 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3766 loss: 1.3766 2022/06/28 14:45:32 - mmengine - INFO - Epoch(train) [73][1140/3757] lr: 1.000e-03 eta: 7:40:14 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 8.1086 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3889 loss: 1.3889 2022/06/28 14:45:38 - mmengine - INFO - Epoch(train) [73][1160/3757] lr: 1.000e-03 eta: 7:40:09 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 7.2355 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2793 loss: 1.2793 2022/06/28 14:45:43 - mmengine - INFO - Epoch(train) [73][1180/3757] lr: 1.000e-03 eta: 7:40:03 time: 0.193 data_time: 0.008 memory: 5148 grad_norm: 9.3930 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2007 loss: 1.2007 2022/06/28 14:45:49 - mmengine - INFO - Epoch(train) [73][1200/3757] lr: 1.000e-03 eta: 7:39:58 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 8.4169 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2630 loss: 1.2630 2022/06/28 14:45:55 - mmengine - INFO - Epoch(train) [73][1220/3757] lr: 1.000e-03 eta: 7:39:53 time: 0.221 data_time: 0.007 memory: 5148 grad_norm: 8.1313 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5503 loss: 1.5503 2022/06/28 14:45:59 - mmengine - INFO - Epoch(train) [73][1240/3757] lr: 1.000e-03 eta: 7:39:47 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 8.8924 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2433 loss: 1.2433 2022/06/28 14:46:05 - mmengine - INFO - Epoch(train) [73][1260/3757] lr: 1.000e-03 eta: 7:39:42 time: 0.228 data_time: 0.008 memory: 5148 grad_norm: 7.9328 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2672 loss: 1.2672 2022/06/28 14:46:10 - mmengine - INFO - Epoch(train) [73][1280/3757] lr: 1.000e-03 eta: 7:39:37 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 7.9065 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2443 loss: 1.2443 2022/06/28 14:46:15 - mmengine - INFO - Epoch(train) [73][1300/3757] lr: 1.000e-03 eta: 7:39:31 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 10.2627 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0565 loss: 1.0565 2022/06/28 14:46:20 - mmengine - INFO - Epoch(train) [73][1320/3757] lr: 1.000e-03 eta: 7:39:26 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 7.7416 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3672 loss: 1.3672 2022/06/28 14:46:26 - mmengine - INFO - Epoch(train) [73][1340/3757] lr: 1.000e-03 eta: 7:39:21 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 7.7741 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5073 loss: 1.5073 2022/06/28 14:46:31 - mmengine - INFO - Epoch(train) [73][1360/3757] lr: 1.000e-03 eta: 7:39:15 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 8.7107 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5710 loss: 1.5710 2022/06/28 14:46:37 - mmengine - INFO - Epoch(train) [73][1380/3757] lr: 1.000e-03 eta: 7:39:10 time: 0.210 data_time: 0.018 memory: 5148 grad_norm: 10.4289 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.2356 loss: 1.2356 2022/06/28 14:46:42 - mmengine - INFO - Epoch(train) [73][1400/3757] lr: 1.000e-03 eta: 7:39:05 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 8.1572 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0869 loss: 1.0869 2022/06/28 14:46:47 - mmengine - INFO - Epoch(train) [73][1420/3757] lr: 1.000e-03 eta: 7:39:00 time: 0.217 data_time: 0.020 memory: 5148 grad_norm: 7.8587 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2568 loss: 1.2568 2022/06/28 14:46:52 - mmengine - INFO - Epoch(train) [73][1440/3757] lr: 1.000e-03 eta: 7:38:54 time: 0.209 data_time: 0.018 memory: 5148 grad_norm: 8.5246 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3759 loss: 1.3759 2022/06/28 14:46:58 - mmengine - INFO - Epoch(train) [73][1460/3757] lr: 1.000e-03 eta: 7:38:49 time: 0.214 data_time: 0.009 memory: 5148 grad_norm: 9.6449 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1044 loss: 1.1044 2022/06/28 14:47:03 - mmengine - INFO - Epoch(train) [73][1480/3757] lr: 1.000e-03 eta: 7:38:44 time: 0.210 data_time: 0.018 memory: 5148 grad_norm: 7.7791 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7544 loss: 0.7544 2022/06/28 14:47:07 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 14:47:08 - mmengine - INFO - Epoch(train) [73][1500/3757] lr: 1.000e-03 eta: 7:38:38 time: 0.980 data_time: 0.015 memory: 5148 grad_norm: 9.3141 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4251 loss: 1.4251 2022/06/28 14:47:13 - mmengine - INFO - Epoch(train) [73][1520/3757] lr: 1.000e-03 eta: 7:38:33 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 8.6001 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3168 loss: 1.3168 2022/06/28 14:47:19 - mmengine - INFO - Epoch(train) [73][1540/3757] lr: 1.000e-03 eta: 7:38:28 time: 0.200 data_time: 0.013 memory: 5148 grad_norm: 7.8853 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1843 loss: 1.1843 2022/06/28 14:47:24 - mmengine - INFO - Epoch(train) [73][1560/3757] lr: 1.000e-03 eta: 7:38:22 time: 0.205 data_time: 0.018 memory: 5148 grad_norm: 9.4429 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0670 loss: 1.0670 2022/06/28 14:47:29 - mmengine - INFO - Epoch(train) [73][1580/3757] lr: 1.000e-03 eta: 7:38:17 time: 0.220 data_time: 0.008 memory: 5148 grad_norm: 7.9750 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5106 loss: 1.5106 2022/06/28 14:47:34 - mmengine - INFO - Epoch(train) [73][1600/3757] lr: 1.000e-03 eta: 7:38:12 time: 0.212 data_time: 0.015 memory: 5148 grad_norm: 7.2336 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4493 loss: 1.4493 2022/06/28 14:47:39 - mmengine - INFO - Epoch(train) [73][1620/3757] lr: 1.000e-03 eta: 7:38:06 time: 0.208 data_time: 0.015 memory: 5148 grad_norm: 8.1395 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5208 loss: 1.5208 2022/06/28 14:47:45 - mmengine - INFO - Epoch(train) [73][1640/3757] lr: 1.000e-03 eta: 7:38:01 time: 0.212 data_time: 0.008 memory: 5148 grad_norm: 7.9538 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6768 loss: 0.6768 2022/06/28 14:47:50 - mmengine - INFO - Epoch(train) [73][1660/3757] lr: 1.000e-03 eta: 7:37:56 time: 0.209 data_time: 0.010 memory: 5148 grad_norm: 6.8460 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1845 loss: 1.1845 2022/06/28 14:47:56 - mmengine - INFO - Epoch(train) [73][1680/3757] lr: 1.000e-03 eta: 7:37:51 time: 0.203 data_time: 0.012 memory: 5148 grad_norm: 8.5580 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3309 loss: 1.3309 2022/06/28 14:48:01 - mmengine - INFO - Epoch(train) [73][1700/3757] lr: 1.000e-03 eta: 7:37:45 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 8.6058 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0390 loss: 1.0390 2022/06/28 14:48:07 - mmengine - INFO - Epoch(train) [73][1720/3757] lr: 1.000e-03 eta: 7:37:40 time: 0.207 data_time: 0.016 memory: 5148 grad_norm: 8.0605 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1755 loss: 1.1755 2022/06/28 14:48:12 - mmengine - INFO - Epoch(train) [73][1740/3757] lr: 1.000e-03 eta: 7:37:35 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 8.0159 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5746 loss: 1.5746 2022/06/28 14:48:17 - mmengine - INFO - Epoch(train) [73][1760/3757] lr: 1.000e-03 eta: 7:37:29 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 10.3025 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2820 loss: 1.2820 2022/06/28 14:48:23 - mmengine - INFO - Epoch(train) [73][1780/3757] lr: 1.000e-03 eta: 7:37:24 time: 0.208 data_time: 0.009 memory: 5148 grad_norm: 9.4988 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0900 loss: 1.0900 2022/06/28 14:48:28 - mmengine - INFO - Epoch(train) [73][1800/3757] lr: 1.000e-03 eta: 7:37:19 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 8.6653 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2436 loss: 1.2436 2022/06/28 14:48:33 - mmengine - INFO - Epoch(train) [73][1820/3757] lr: 1.000e-03 eta: 7:37:13 time: 0.200 data_time: 0.012 memory: 5148 grad_norm: 8.5244 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0080 loss: 1.0080 2022/06/28 14:48:38 - mmengine - INFO - Epoch(train) [73][1840/3757] lr: 1.000e-03 eta: 7:37:08 time: 0.209 data_time: 0.013 memory: 5148 grad_norm: 7.9264 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7984 loss: 1.7984 2022/06/28 14:48:44 - mmengine - INFO - Epoch(train) [73][1860/3757] lr: 1.000e-03 eta: 7:37:03 time: 0.215 data_time: 0.008 memory: 5148 grad_norm: 8.8488 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1920 loss: 1.1920 2022/06/28 14:48:49 - mmengine - INFO - Epoch(train) [73][1880/3757] lr: 1.000e-03 eta: 7:36:57 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 8.0525 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3032 loss: 1.3032 2022/06/28 14:48:54 - mmengine - INFO - Epoch(train) [73][1900/3757] lr: 1.000e-03 eta: 7:36:52 time: 0.221 data_time: 0.011 memory: 5148 grad_norm: 9.4191 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2806 loss: 1.2806 2022/06/28 14:48:59 - mmengine - INFO - Epoch(train) [73][1920/3757] lr: 1.000e-03 eta: 7:36:47 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 9.5721 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3082 loss: 1.3082 2022/06/28 14:49:04 - mmengine - INFO - Epoch(train) [73][1940/3757] lr: 1.000e-03 eta: 7:36:41 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 7.3791 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0349 loss: 1.0349 2022/06/28 14:49:10 - mmengine - INFO - Epoch(train) [73][1960/3757] lr: 1.000e-03 eta: 7:36:36 time: 0.209 data_time: 0.011 memory: 5148 grad_norm: 9.6188 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3502 loss: 1.3502 2022/06/28 14:49:15 - mmengine - INFO - Epoch(train) [73][1980/3757] lr: 1.000e-03 eta: 7:36:31 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 8.2335 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4305 loss: 1.4305 2022/06/28 14:49:21 - mmengine - INFO - Epoch(train) [73][2000/3757] lr: 1.000e-03 eta: 7:36:25 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 7.8598 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2076 loss: 1.2076 2022/06/28 14:49:26 - mmengine - INFO - Epoch(train) [73][2020/3757] lr: 1.000e-03 eta: 7:36:20 time: 0.330 data_time: 0.007 memory: 5148 grad_norm: 9.5374 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1546 loss: 1.1546 2022/06/28 14:49:31 - mmengine - INFO - Epoch(train) [73][2040/3757] lr: 1.000e-03 eta: 7:36:15 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 7.7517 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1461 loss: 1.1461 2022/06/28 14:49:37 - mmengine - INFO - Epoch(train) [73][2060/3757] lr: 1.000e-03 eta: 7:36:10 time: 0.199 data_time: 0.013 memory: 5148 grad_norm: 8.6947 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1154 loss: 1.1154 2022/06/28 14:49:42 - mmengine - INFO - Epoch(train) [73][2080/3757] lr: 1.000e-03 eta: 7:36:04 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 9.4184 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7294 loss: 1.7294 2022/06/28 14:49:48 - mmengine - INFO - Epoch(train) [73][2100/3757] lr: 1.000e-03 eta: 7:35:59 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 8.2473 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0823 loss: 1.0823 2022/06/28 14:49:52 - mmengine - INFO - Epoch(train) [73][2120/3757] lr: 1.000e-03 eta: 7:35:54 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 8.3620 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4023 loss: 1.4023 2022/06/28 14:49:58 - mmengine - INFO - Epoch(train) [73][2140/3757] lr: 1.000e-03 eta: 7:35:48 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 8.1774 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3124 loss: 1.3124 2022/06/28 14:50:02 - mmengine - INFO - Epoch(train) [73][2160/3757] lr: 1.000e-03 eta: 7:35:43 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 7.0984 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2073 loss: 1.2073 2022/06/28 14:50:08 - mmengine - INFO - Epoch(train) [73][2180/3757] lr: 1.000e-03 eta: 7:35:38 time: 0.194 data_time: 0.014 memory: 5148 grad_norm: 8.5831 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5094 loss: 1.5094 2022/06/28 14:50:14 - mmengine - INFO - Epoch(train) [73][2200/3757] lr: 1.000e-03 eta: 7:35:32 time: 0.200 data_time: 0.009 memory: 5148 grad_norm: 7.6561 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0099 loss: 1.0099 2022/06/28 14:50:19 - mmengine - INFO - Epoch(train) [73][2220/3757] lr: 1.000e-03 eta: 7:35:27 time: 0.194 data_time: 0.009 memory: 5148 grad_norm: 8.5438 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3331 loss: 1.3331 2022/06/28 14:50:24 - mmengine - INFO - Epoch(train) [73][2240/3757] lr: 1.000e-03 eta: 7:35:22 time: 0.201 data_time: 0.015 memory: 5148 grad_norm: 7.0584 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3689 loss: 1.3689 2022/06/28 14:50:30 - mmengine - INFO - Epoch(train) [73][2260/3757] lr: 1.000e-03 eta: 7:35:16 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 8.3709 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5840 loss: 1.5840 2022/06/28 14:50:35 - mmengine - INFO - Epoch(train) [73][2280/3757] lr: 1.000e-03 eta: 7:35:11 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 8.0049 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4226 loss: 1.4226 2022/06/28 14:50:41 - mmengine - INFO - Epoch(train) [73][2300/3757] lr: 1.000e-03 eta: 7:35:06 time: 0.211 data_time: 0.017 memory: 5148 grad_norm: 8.4254 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5654 loss: 1.5654 2022/06/28 14:50:46 - mmengine - INFO - Epoch(train) [73][2320/3757] lr: 1.000e-03 eta: 7:35:00 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 7.5958 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5251 loss: 1.5251 2022/06/28 14:50:51 - mmengine - INFO - Epoch(train) [73][2340/3757] lr: 1.000e-03 eta: 7:34:55 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 8.7702 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2926 loss: 1.2926 2022/06/28 14:50:57 - mmengine - INFO - Epoch(train) [73][2360/3757] lr: 1.000e-03 eta: 7:34:50 time: 0.204 data_time: 0.017 memory: 5148 grad_norm: 7.1334 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1180 loss: 1.1180 2022/06/28 14:51:02 - mmengine - INFO - Epoch(train) [73][2380/3757] lr: 1.000e-03 eta: 7:34:45 time: 0.191 data_time: 0.008 memory: 5148 grad_norm: 8.8402 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4762 loss: 1.4762 2022/06/28 14:51:07 - mmengine - INFO - Epoch(train) [73][2400/3757] lr: 1.000e-03 eta: 7:34:39 time: 0.214 data_time: 0.011 memory: 5148 grad_norm: 7.1963 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8690 loss: 1.8690 2022/06/28 14:51:12 - mmengine - INFO - Epoch(train) [73][2420/3757] lr: 1.000e-03 eta: 7:34:34 time: 0.197 data_time: 0.013 memory: 5148 grad_norm: 7.6484 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4074 loss: 1.4074 2022/06/28 14:51:18 - mmengine - INFO - Epoch(train) [73][2440/3757] lr: 1.000e-03 eta: 7:34:29 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 7.7325 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3799 loss: 1.3799 2022/06/28 14:51:23 - mmengine - INFO - Epoch(train) [73][2460/3757] lr: 1.000e-03 eta: 7:34:23 time: 0.208 data_time: 0.006 memory: 5148 grad_norm: 9.1923 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4878 loss: 1.4878 2022/06/28 14:51:28 - mmengine - INFO - Epoch(train) [73][2480/3757] lr: 1.000e-03 eta: 7:34:18 time: 0.197 data_time: 0.016 memory: 5148 grad_norm: 7.8932 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4336 loss: 1.4336 2022/06/28 14:51:32 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 14:51:34 - mmengine - INFO - Epoch(train) [73][2500/3757] lr: 1.000e-03 eta: 7:34:13 time: 0.208 data_time: 0.011 memory: 5148 grad_norm: 7.7758 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5967 loss: 1.5967 2022/06/28 14:51:38 - mmengine - INFO - Epoch(train) [73][2520/3757] lr: 1.000e-03 eta: 7:34:07 time: 0.212 data_time: 0.010 memory: 5148 grad_norm: 7.6357 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2961 loss: 1.2961 2022/06/28 14:51:44 - mmengine - INFO - Epoch(train) [73][2540/3757] lr: 1.000e-03 eta: 7:34:02 time: 0.202 data_time: 0.015 memory: 5148 grad_norm: 7.9116 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7897 loss: 0.7897 2022/06/28 14:51:49 - mmengine - INFO - Epoch(train) [73][2560/3757] lr: 1.000e-03 eta: 7:33:57 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 8.5733 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4319 loss: 1.4319 2022/06/28 14:51:55 - mmengine - INFO - Epoch(train) [73][2580/3757] lr: 1.000e-03 eta: 7:33:51 time: 0.320 data_time: 0.017 memory: 5148 grad_norm: 8.6856 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1754 loss: 1.1754 2022/06/28 14:52:00 - mmengine - INFO - Epoch(train) [73][2600/3757] lr: 1.000e-03 eta: 7:33:46 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 8.8291 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1304 loss: 1.1304 2022/06/28 14:52:05 - mmengine - INFO - Epoch(train) [73][2620/3757] lr: 1.000e-03 eta: 7:33:41 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 8.3753 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2485 loss: 1.2485 2022/06/28 14:52:10 - mmengine - INFO - Epoch(train) [73][2640/3757] lr: 1.000e-03 eta: 7:33:35 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 8.1345 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6446 loss: 1.6446 2022/06/28 14:52:16 - mmengine - INFO - Epoch(train) [73][2660/3757] lr: 1.000e-03 eta: 7:33:30 time: 0.206 data_time: 0.019 memory: 5148 grad_norm: 9.2470 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0357 loss: 1.0357 2022/06/28 14:52:21 - mmengine - INFO - Epoch(train) [73][2680/3757] lr: 1.000e-03 eta: 7:33:25 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 8.8877 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0651 loss: 1.0651 2022/06/28 14:52:26 - mmengine - INFO - Epoch(train) [73][2700/3757] lr: 1.000e-03 eta: 7:33:19 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 8.3893 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0919 loss: 1.0919 2022/06/28 14:52:31 - mmengine - INFO - Epoch(train) [73][2720/3757] lr: 1.000e-03 eta: 7:33:14 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 7.6376 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2040 loss: 1.2040 2022/06/28 14:52:37 - mmengine - INFO - Epoch(train) [73][2740/3757] lr: 1.000e-03 eta: 7:33:09 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 7.8769 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5444 loss: 1.5444 2022/06/28 14:52:42 - mmengine - INFO - Epoch(train) [73][2760/3757] lr: 1.000e-03 eta: 7:33:03 time: 0.204 data_time: 0.016 memory: 5148 grad_norm: 7.4131 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5473 loss: 1.5473 2022/06/28 14:52:47 - mmengine - INFO - Epoch(train) [73][2780/3757] lr: 1.000e-03 eta: 7:32:58 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 8.9647 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2869 loss: 1.2869 2022/06/28 14:52:53 - mmengine - INFO - Epoch(train) [73][2800/3757] lr: 1.000e-03 eta: 7:32:53 time: 0.227 data_time: 0.011 memory: 5148 grad_norm: 8.9763 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1950 loss: 1.1950 2022/06/28 14:52:58 - mmengine - INFO - Epoch(train) [73][2820/3757] lr: 1.000e-03 eta: 7:32:47 time: 0.218 data_time: 0.016 memory: 5148 grad_norm: 8.1489 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3765 loss: 1.3765 2022/06/28 14:53:03 - mmengine - INFO - Epoch(train) [73][2840/3757] lr: 1.000e-03 eta: 7:32:42 time: 0.202 data_time: 0.014 memory: 5148 grad_norm: 8.7521 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1315 loss: 1.1315 2022/06/28 14:53:08 - mmengine - INFO - Epoch(train) [73][2860/3757] lr: 1.000e-03 eta: 7:32:37 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 8.7309 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4317 loss: 1.4317 2022/06/28 14:53:13 - mmengine - INFO - Epoch(train) [73][2880/3757] lr: 1.000e-03 eta: 7:32:31 time: 0.220 data_time: 0.012 memory: 5148 grad_norm: 7.4940 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2592 loss: 1.2592 2022/06/28 14:53:19 - mmengine - INFO - Epoch(train) [73][2900/3757] lr: 1.000e-03 eta: 7:32:26 time: 0.210 data_time: 0.022 memory: 5148 grad_norm: 8.3895 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7081 loss: 1.7081 2022/06/28 14:53:24 - mmengine - INFO - Epoch(train) [73][2920/3757] lr: 1.000e-03 eta: 7:32:21 time: 0.212 data_time: 0.010 memory: 5148 grad_norm: 7.7124 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1010 loss: 1.1010 2022/06/28 14:53:29 - mmengine - INFO - Epoch(train) [73][2940/3757] lr: 1.000e-03 eta: 7:32:15 time: 0.507 data_time: 0.008 memory: 5148 grad_norm: 7.5679 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1762 loss: 1.1762 2022/06/28 14:53:34 - mmengine - INFO - Epoch(train) [73][2960/3757] lr: 1.000e-03 eta: 7:32:10 time: 0.215 data_time: 0.023 memory: 5148 grad_norm: 7.9320 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5265 loss: 1.5265 2022/06/28 14:53:40 - mmengine - INFO - Epoch(train) [73][2980/3757] lr: 1.000e-03 eta: 7:32:05 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 8.5519 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0652 loss: 1.0652 2022/06/28 14:53:46 - mmengine - INFO - Epoch(train) [73][3000/3757] lr: 1.000e-03 eta: 7:32:00 time: 0.211 data_time: 0.011 memory: 5148 grad_norm: 8.3453 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4370 loss: 1.4370 2022/06/28 14:53:51 - mmengine - INFO - Epoch(train) [73][3020/3757] lr: 1.000e-03 eta: 7:31:54 time: 0.210 data_time: 0.011 memory: 5148 grad_norm: 8.5260 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2479 loss: 1.2479 2022/06/28 14:53:56 - mmengine - INFO - Epoch(train) [73][3040/3757] lr: 1.000e-03 eta: 7:31:49 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 8.8891 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4431 loss: 1.4431 2022/06/28 14:54:01 - mmengine - INFO - Epoch(train) [73][3060/3757] lr: 1.000e-03 eta: 7:31:44 time: 0.381 data_time: 0.012 memory: 5148 grad_norm: 8.4295 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4423 loss: 1.4423 2022/06/28 14:54:06 - mmengine - INFO - Epoch(train) [73][3080/3757] lr: 1.000e-03 eta: 7:31:38 time: 0.202 data_time: 0.012 memory: 5148 grad_norm: 9.5416 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3355 loss: 1.3355 2022/06/28 14:54:12 - mmengine - INFO - Epoch(train) [73][3100/3757] lr: 1.000e-03 eta: 7:31:33 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 9.9240 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4992 loss: 1.4992 2022/06/28 14:54:17 - mmengine - INFO - Epoch(train) [73][3120/3757] lr: 1.000e-03 eta: 7:31:28 time: 0.212 data_time: 0.011 memory: 5148 grad_norm: 10.6885 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3073 loss: 1.3073 2022/06/28 14:54:22 - mmengine - INFO - Epoch(train) [73][3140/3757] lr: 1.000e-03 eta: 7:31:22 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 8.7112 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2060 loss: 1.2060 2022/06/28 14:54:27 - mmengine - INFO - Epoch(train) [73][3160/3757] lr: 1.000e-03 eta: 7:31:17 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 7.1999 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6008 loss: 1.6008 2022/06/28 14:54:32 - mmengine - INFO - Epoch(train) [73][3180/3757] lr: 1.000e-03 eta: 7:31:11 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 8.0236 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5259 loss: 1.5259 2022/06/28 14:54:38 - mmengine - INFO - Epoch(train) [73][3200/3757] lr: 1.000e-03 eta: 7:31:06 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 8.7819 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1631 loss: 1.1631 2022/06/28 14:54:42 - mmengine - INFO - Epoch(train) [73][3220/3757] lr: 1.000e-03 eta: 7:31:01 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 9.7777 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3425 loss: 1.3425 2022/06/28 14:54:48 - mmengine - INFO - Epoch(train) [73][3240/3757] lr: 1.000e-03 eta: 7:30:55 time: 0.214 data_time: 0.017 memory: 5148 grad_norm: 8.5587 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3942 loss: 1.3942 2022/06/28 14:54:53 - mmengine - INFO - Epoch(train) [73][3260/3757] lr: 1.000e-03 eta: 7:30:50 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 7.4466 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1094 loss: 1.1094 2022/06/28 14:54:58 - mmengine - INFO - Epoch(train) [73][3280/3757] lr: 1.000e-03 eta: 7:30:45 time: 0.199 data_time: 0.012 memory: 5148 grad_norm: 7.6466 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3845 loss: 1.3845 2022/06/28 14:55:04 - mmengine - INFO - Epoch(train) [73][3300/3757] lr: 1.000e-03 eta: 7:30:39 time: 0.476 data_time: 0.015 memory: 5148 grad_norm: 8.2904 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8614 loss: 1.8614 2022/06/28 14:55:09 - mmengine - INFO - Epoch(train) [73][3320/3757] lr: 1.000e-03 eta: 7:30:34 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 8.3800 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1241 loss: 1.1241 2022/06/28 14:55:15 - mmengine - INFO - Epoch(train) [73][3340/3757] lr: 1.000e-03 eta: 7:30:29 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 7.8574 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4660 loss: 1.4660 2022/06/28 14:55:21 - mmengine - INFO - Epoch(train) [73][3360/3757] lr: 1.000e-03 eta: 7:30:24 time: 0.856 data_time: 0.012 memory: 5148 grad_norm: 7.6814 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3000 loss: 1.3000 2022/06/28 14:55:25 - mmengine - INFO - Epoch(train) [73][3380/3757] lr: 1.000e-03 eta: 7:30:18 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 9.0610 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0833 loss: 1.0833 2022/06/28 14:55:30 - mmengine - INFO - Epoch(train) [73][3400/3757] lr: 1.000e-03 eta: 7:30:13 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 8.3785 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1692 loss: 1.1692 2022/06/28 14:55:36 - mmengine - INFO - Epoch(train) [73][3420/3757] lr: 1.000e-03 eta: 7:30:08 time: 0.943 data_time: 0.008 memory: 5148 grad_norm: 7.8684 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9653 loss: 0.9653 2022/06/28 14:55:41 - mmengine - INFO - Epoch(train) [73][3440/3757] lr: 1.000e-03 eta: 7:30:02 time: 0.199 data_time: 0.009 memory: 5148 grad_norm: 8.1881 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6558 loss: 1.6558 2022/06/28 14:55:47 - mmengine - INFO - Epoch(train) [73][3460/3757] lr: 1.000e-03 eta: 7:29:57 time: 0.215 data_time: 0.006 memory: 5148 grad_norm: 7.6379 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1112 loss: 1.1112 2022/06/28 14:55:52 - mmengine - INFO - Epoch(train) [73][3480/3757] lr: 1.000e-03 eta: 7:29:52 time: 0.728 data_time: 0.011 memory: 5148 grad_norm: 8.7414 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3893 loss: 1.3893 2022/06/28 14:55:55 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 14:55:56 - mmengine - INFO - Epoch(train) [73][3500/3757] lr: 1.000e-03 eta: 7:29:46 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 8.3611 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3870 loss: 1.3870 2022/06/28 14:56:02 - mmengine - INFO - Epoch(train) [73][3520/3757] lr: 1.000e-03 eta: 7:29:41 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 9.0362 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5743 loss: 1.5743 2022/06/28 14:56:07 - mmengine - INFO - Epoch(train) [73][3540/3757] lr: 1.000e-03 eta: 7:29:35 time: 0.246 data_time: 0.006 memory: 5148 grad_norm: 8.3942 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2973 loss: 1.2973 2022/06/28 14:56:12 - mmengine - INFO - Epoch(train) [73][3560/3757] lr: 1.000e-03 eta: 7:29:30 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 9.1985 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1858 loss: 1.1858 2022/06/28 14:56:17 - mmengine - INFO - Epoch(train) [73][3580/3757] lr: 1.000e-03 eta: 7:29:25 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 7.9713 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5608 loss: 1.5608 2022/06/28 14:56:22 - mmengine - INFO - Epoch(train) [73][3600/3757] lr: 1.000e-03 eta: 7:29:19 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 8.5340 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4799 loss: 1.4799 2022/06/28 14:56:28 - mmengine - INFO - Epoch(train) [73][3620/3757] lr: 1.000e-03 eta: 7:29:14 time: 0.221 data_time: 0.007 memory: 5148 grad_norm: 9.6212 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4047 loss: 1.4047 2022/06/28 14:56:33 - mmengine - INFO - Epoch(train) [73][3640/3757] lr: 1.000e-03 eta: 7:29:09 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 8.3566 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2638 loss: 1.2638 2022/06/28 14:56:38 - mmengine - INFO - Epoch(train) [73][3660/3757] lr: 1.000e-03 eta: 7:29:03 time: 0.484 data_time: 0.007 memory: 5148 grad_norm: 8.6066 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3971 loss: 1.3971 2022/06/28 14:56:44 - mmengine - INFO - Epoch(train) [73][3680/3757] lr: 1.000e-03 eta: 7:28:58 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 8.0643 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4439 loss: 1.4439 2022/06/28 14:56:49 - mmengine - INFO - Epoch(train) [73][3700/3757] lr: 1.000e-03 eta: 7:28:53 time: 0.212 data_time: 0.006 memory: 5148 grad_norm: 7.3217 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9519 loss: 0.9519 2022/06/28 14:56:55 - mmengine - INFO - Epoch(train) [73][3720/3757] lr: 1.000e-03 eta: 7:28:48 time: 0.823 data_time: 0.007 memory: 5148 grad_norm: 6.3928 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6927 loss: 1.6927 2022/06/28 14:57:00 - mmengine - INFO - Epoch(train) [73][3740/3757] lr: 1.000e-03 eta: 7:28:42 time: 0.225 data_time: 0.010 memory: 5148 grad_norm: 7.7904 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2163 loss: 1.2163 2022/06/28 14:57:03 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 14:57:10 - mmengine - INFO - Epoch(val) [73][20/310] eta: 0:01:06 time: 0.086 data_time: 0.015 memory: 5148 2022/06/28 14:57:14 - mmengine - INFO - Epoch(val) [73][40/310] eta: 0:01:02 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 14:57:20 - mmengine - INFO - Epoch(val) [73][60/310] eta: 0:00:55 time: 0.129 data_time: 0.054 memory: 1367 2022/06/28 14:57:25 - mmengine - INFO - Epoch(val) [73][80/310] eta: 0:00:58 time: 0.079 data_time: 0.008 memory: 1367 2022/06/28 14:57:31 - mmengine - INFO - Epoch(val) [73][100/310] eta: 0:00:49 time: 0.183 data_time: 0.113 memory: 1367 2022/06/28 14:57:35 - mmengine - INFO - Epoch(val) [73][120/310] eta: 0:00:46 time: 0.288 data_time: 0.211 memory: 1367 2022/06/28 14:57:42 - mmengine - INFO - Epoch(val) [73][140/310] eta: 0:00:56 time: 0.635 data_time: 0.560 memory: 1367 2022/06/28 14:57:46 - mmengine - INFO - Epoch(val) [73][160/310] eta: 0:00:32 time: 0.088 data_time: 0.013 memory: 1367 2022/06/28 14:57:53 - mmengine - INFO - Epoch(val) [73][180/310] eta: 0:00:50 time: 1.442 data_time: 1.361 memory: 1367 2022/06/28 14:57:57 - mmengine - INFO - Epoch(val) [73][200/310] eta: 0:00:26 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 14:58:03 - mmengine - INFO - Epoch(val) [73][220/310] eta: 0:00:33 time: 0.935 data_time: 0.863 memory: 1367 2022/06/28 14:58:07 - mmengine - INFO - Epoch(val) [73][240/310] eta: 0:00:13 time: 0.078 data_time: 0.005 memory: 1367 2022/06/28 14:58:14 - mmengine - INFO - Epoch(val) [73][260/310] eta: 0:00:19 time: 0.797 data_time: 0.721 memory: 1367 2022/06/28 14:58:18 - mmengine - INFO - Epoch(val) [73][280/310] eta: 0:00:06 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 14:58:23 - mmengine - INFO - Epoch(val) [73][300/310] eta: 0:00:03 time: 0.524 data_time: 0.450 memory: 1367 2022/06/28 14:58:26 - mmengine - INFO - Epoch(val) [73][310/310] acc/top1: 0.6500 acc/top5: 0.8565 acc/mean1: 0.6499 2022/06/28 14:58:34 - mmengine - INFO - Epoch(train) [74][20/3757] lr: 1.000e-03 eta: 7:28:33 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 8.3488 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1009 loss: 1.1009 2022/06/28 14:58:40 - mmengine - INFO - Epoch(train) [74][40/3757] lr: 1.000e-03 eta: 7:28:27 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 7.1202 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2870 loss: 1.2870 2022/06/28 14:58:45 - mmengine - INFO - Epoch(train) [74][60/3757] lr: 1.000e-03 eta: 7:28:22 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 8.5891 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1023 loss: 1.1023 2022/06/28 14:58:50 - mmengine - INFO - Epoch(train) [74][80/3757] lr: 1.000e-03 eta: 7:28:17 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 7.4101 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4547 loss: 1.4547 2022/06/28 14:58:56 - mmengine - INFO - Epoch(train) [74][100/3757] lr: 1.000e-03 eta: 7:28:12 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 8.6562 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9249 loss: 0.9249 2022/06/28 14:59:00 - mmengine - INFO - Epoch(train) [74][120/3757] lr: 1.000e-03 eta: 7:28:06 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 7.8663 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1493 loss: 1.1493 2022/06/28 14:59:07 - mmengine - INFO - Epoch(train) [74][140/3757] lr: 1.000e-03 eta: 7:28:01 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 7.1957 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1423 loss: 1.1423 2022/06/28 14:59:12 - mmengine - INFO - Epoch(train) [74][160/3757] lr: 1.000e-03 eta: 7:27:56 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 8.4398 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1339 loss: 1.1339 2022/06/28 14:59:17 - mmengine - INFO - Epoch(train) [74][180/3757] lr: 1.000e-03 eta: 7:27:50 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 9.2276 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5763 loss: 1.5763 2022/06/28 14:59:22 - mmengine - INFO - Epoch(train) [74][200/3757] lr: 1.000e-03 eta: 7:27:45 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 7.7580 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2426 loss: 1.2426 2022/06/28 14:59:28 - mmengine - INFO - Epoch(train) [74][220/3757] lr: 1.000e-03 eta: 7:27:40 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 8.6570 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1576 loss: 1.1576 2022/06/28 14:59:32 - mmengine - INFO - Epoch(train) [74][240/3757] lr: 1.000e-03 eta: 7:27:34 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 9.3009 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0881 loss: 1.0881 2022/06/28 14:59:38 - mmengine - INFO - Epoch(train) [74][260/3757] lr: 1.000e-03 eta: 7:27:29 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 7.8632 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4590 loss: 1.4590 2022/06/28 14:59:44 - mmengine - INFO - Epoch(train) [74][280/3757] lr: 1.000e-03 eta: 7:27:24 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 7.1016 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2887 loss: 1.2887 2022/06/28 14:59:48 - mmengine - INFO - Epoch(train) [74][300/3757] lr: 1.000e-03 eta: 7:27:18 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 7.3040 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3356 loss: 1.3356 2022/06/28 14:59:54 - mmengine - INFO - Epoch(train) [74][320/3757] lr: 1.000e-03 eta: 7:27:13 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 7.9018 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0298 loss: 1.0298 2022/06/28 14:59:59 - mmengine - INFO - Epoch(train) [74][340/3757] lr: 1.000e-03 eta: 7:27:07 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 8.1297 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1341 loss: 1.1341 2022/06/28 15:00:04 - mmengine - INFO - Epoch(train) [74][360/3757] lr: 1.000e-03 eta: 7:27:02 time: 0.199 data_time: 0.009 memory: 5148 grad_norm: 7.1182 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3598 loss: 1.3598 2022/06/28 15:00:10 - mmengine - INFO - Epoch(train) [74][380/3757] lr: 1.000e-03 eta: 7:26:57 time: 0.191 data_time: 0.009 memory: 5148 grad_norm: 7.3811 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3839 loss: 1.3839 2022/06/28 15:00:16 - mmengine - INFO - Epoch(train) [74][400/3757] lr: 1.000e-03 eta: 7:26:52 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 8.8670 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7103 loss: 1.7103 2022/06/28 15:00:21 - mmengine - INFO - Epoch(train) [74][420/3757] lr: 1.000e-03 eta: 7:26:46 time: 0.206 data_time: 0.013 memory: 5148 grad_norm: 9.4474 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5935 loss: 1.5935 2022/06/28 15:00:26 - mmengine - INFO - Epoch(train) [74][440/3757] lr: 1.000e-03 eta: 7:26:41 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 8.7526 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4729 loss: 1.4729 2022/06/28 15:00:32 - mmengine - INFO - Epoch(train) [74][460/3757] lr: 1.000e-03 eta: 7:26:36 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 7.8284 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4115 loss: 1.4115 2022/06/28 15:00:37 - mmengine - INFO - Epoch(train) [74][480/3757] lr: 1.000e-03 eta: 7:26:31 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 7.8553 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4489 loss: 1.4489 2022/06/28 15:00:42 - mmengine - INFO - Epoch(train) [74][500/3757] lr: 1.000e-03 eta: 7:26:25 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 6.9189 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2968 loss: 1.2968 2022/06/28 15:00:48 - mmengine - INFO - Epoch(train) [74][520/3757] lr: 1.000e-03 eta: 7:26:20 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 7.1336 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4250 loss: 1.4250 2022/06/28 15:00:53 - mmengine - INFO - Epoch(train) [74][540/3757] lr: 1.000e-03 eta: 7:26:15 time: 0.204 data_time: 0.012 memory: 5148 grad_norm: 8.6355 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3904 loss: 1.3904 2022/06/28 15:00:58 - mmengine - INFO - Epoch(train) [74][560/3757] lr: 1.000e-03 eta: 7:26:09 time: 0.202 data_time: 0.013 memory: 5148 grad_norm: 7.7528 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0794 loss: 1.0794 2022/06/28 15:01:03 - mmengine - INFO - Epoch(train) [74][580/3757] lr: 1.000e-03 eta: 7:26:04 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 7.6399 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7828 loss: 1.7828 2022/06/28 15:01:09 - mmengine - INFO - Epoch(train) [74][600/3757] lr: 1.000e-03 eta: 7:25:59 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 9.5236 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3069 loss: 1.3069 2022/06/28 15:01:14 - mmengine - INFO - Epoch(train) [74][620/3757] lr: 1.000e-03 eta: 7:25:53 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 7.9589 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1820 loss: 1.1820 2022/06/28 15:01:19 - mmengine - INFO - Epoch(train) [74][640/3757] lr: 1.000e-03 eta: 7:25:48 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 7.9577 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2492 loss: 1.2492 2022/06/28 15:01:24 - mmengine - INFO - Epoch(train) [74][660/3757] lr: 1.000e-03 eta: 7:25:42 time: 0.211 data_time: 0.016 memory: 5148 grad_norm: 7.7380 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7857 loss: 1.7857 2022/06/28 15:01:30 - mmengine - INFO - Epoch(train) [74][680/3757] lr: 1.000e-03 eta: 7:25:37 time: 0.208 data_time: 0.011 memory: 5148 grad_norm: 8.9573 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5415 loss: 1.5415 2022/06/28 15:01:35 - mmengine - INFO - Epoch(train) [74][700/3757] lr: 1.000e-03 eta: 7:25:32 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 9.1133 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0723 loss: 1.0723 2022/06/28 15:01:40 - mmengine - INFO - Epoch(train) [74][720/3757] lr: 1.000e-03 eta: 7:25:27 time: 0.193 data_time: 0.009 memory: 5148 grad_norm: 10.5295 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4533 loss: 1.4533 2022/06/28 15:01:45 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 15:01:45 - mmengine - INFO - Epoch(train) [74][740/3757] lr: 1.000e-03 eta: 7:25:21 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 8.9016 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0790 loss: 1.0790 2022/06/28 15:01:50 - mmengine - INFO - Epoch(train) [74][760/3757] lr: 1.000e-03 eta: 7:25:16 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 8.8950 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0485 loss: 1.0485 2022/06/28 15:01:55 - mmengine - INFO - Epoch(train) [74][780/3757] lr: 1.000e-03 eta: 7:25:10 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 7.6825 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2317 loss: 1.2317 2022/06/28 15:02:01 - mmengine - INFO - Epoch(train) [74][800/3757] lr: 1.000e-03 eta: 7:25:05 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 8.3151 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8967 loss: 0.8967 2022/06/28 15:02:06 - mmengine - INFO - Epoch(train) [74][820/3757] lr: 1.000e-03 eta: 7:25:00 time: 0.404 data_time: 0.008 memory: 5148 grad_norm: 8.8701 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1978 loss: 1.1978 2022/06/28 15:02:11 - mmengine - INFO - Epoch(train) [74][840/3757] lr: 1.000e-03 eta: 7:24:54 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 7.5863 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2261 loss: 1.2261 2022/06/28 15:02:16 - mmengine - INFO - Epoch(train) [74][860/3757] lr: 1.000e-03 eta: 7:24:49 time: 0.213 data_time: 0.008 memory: 5148 grad_norm: 9.5144 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5618 loss: 1.5618 2022/06/28 15:02:22 - mmengine - INFO - Epoch(train) [74][880/3757] lr: 1.000e-03 eta: 7:24:44 time: 0.205 data_time: 0.018 memory: 5148 grad_norm: 6.9917 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4382 loss: 1.4382 2022/06/28 15:02:27 - mmengine - INFO - Epoch(train) [74][900/3757] lr: 1.000e-03 eta: 7:24:38 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 8.8028 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2390 loss: 1.2390 2022/06/28 15:02:32 - mmengine - INFO - Epoch(train) [74][920/3757] lr: 1.000e-03 eta: 7:24:33 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 7.0604 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2325 loss: 1.2325 2022/06/28 15:02:38 - mmengine - INFO - Epoch(train) [74][940/3757] lr: 1.000e-03 eta: 7:24:28 time: 0.207 data_time: 0.024 memory: 5148 grad_norm: 8.2722 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2037 loss: 1.2037 2022/06/28 15:02:43 - mmengine - INFO - Epoch(train) [74][960/3757] lr: 1.000e-03 eta: 7:24:22 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 9.3168 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5218 loss: 1.5218 2022/06/28 15:02:48 - mmengine - INFO - Epoch(train) [74][980/3757] lr: 1.000e-03 eta: 7:24:17 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 8.4233 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2485 loss: 1.2485 2022/06/28 15:02:54 - mmengine - INFO - Epoch(train) [74][1000/3757] lr: 1.000e-03 eta: 7:24:12 time: 0.208 data_time: 0.020 memory: 5148 grad_norm: 10.1457 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2813 loss: 1.2813 2022/06/28 15:02:58 - mmengine - INFO - Epoch(train) [74][1020/3757] lr: 1.000e-03 eta: 7:24:06 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 7.9853 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5917 loss: 1.5917 2022/06/28 15:03:04 - mmengine - INFO - Epoch(train) [74][1040/3757] lr: 1.000e-03 eta: 7:24:01 time: 0.221 data_time: 0.007 memory: 5148 grad_norm: 8.6651 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9304 loss: 0.9304 2022/06/28 15:03:09 - mmengine - INFO - Epoch(train) [74][1060/3757] lr: 1.000e-03 eta: 7:23:56 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 9.4436 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7496 loss: 1.7496 2022/06/28 15:03:14 - mmengine - INFO - Epoch(train) [74][1080/3757] lr: 1.000e-03 eta: 7:23:50 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 7.7772 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1474 loss: 1.1474 2022/06/28 15:03:20 - mmengine - INFO - Epoch(train) [74][1100/3757] lr: 1.000e-03 eta: 7:23:45 time: 0.649 data_time: 0.007 memory: 5148 grad_norm: 10.7077 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2240 loss: 1.2240 2022/06/28 15:03:25 - mmengine - INFO - Epoch(train) [74][1120/3757] lr: 1.000e-03 eta: 7:23:40 time: 0.204 data_time: 0.020 memory: 5148 grad_norm: 8.4102 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1613 loss: 1.1613 2022/06/28 15:03:30 - mmengine - INFO - Epoch(train) [74][1140/3757] lr: 1.000e-03 eta: 7:23:34 time: 0.209 data_time: 0.011 memory: 5148 grad_norm: 8.4527 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2262 loss: 1.2262 2022/06/28 15:03:35 - mmengine - INFO - Epoch(train) [74][1160/3757] lr: 1.000e-03 eta: 7:23:29 time: 0.275 data_time: 0.011 memory: 5148 grad_norm: 7.9593 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8466 loss: 0.8466 2022/06/28 15:03:41 - mmengine - INFO - Epoch(train) [74][1180/3757] lr: 1.000e-03 eta: 7:23:24 time: 0.209 data_time: 0.014 memory: 5148 grad_norm: 7.8432 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5619 loss: 1.5619 2022/06/28 15:03:46 - mmengine - INFO - Epoch(train) [74][1200/3757] lr: 1.000e-03 eta: 7:23:18 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 8.4922 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4896 loss: 1.4896 2022/06/28 15:03:51 - mmengine - INFO - Epoch(train) [74][1220/3757] lr: 1.000e-03 eta: 7:23:13 time: 0.209 data_time: 0.012 memory: 5148 grad_norm: 6.7641 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3961 loss: 1.3961 2022/06/28 15:03:56 - mmengine - INFO - Epoch(train) [74][1240/3757] lr: 1.000e-03 eta: 7:23:08 time: 0.214 data_time: 0.011 memory: 5148 grad_norm: 8.3898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4802 loss: 1.4802 2022/06/28 15:04:02 - mmengine - INFO - Epoch(train) [74][1260/3757] lr: 1.000e-03 eta: 7:23:02 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 9.2689 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3611 loss: 1.3611 2022/06/28 15:04:07 - mmengine - INFO - Epoch(train) [74][1280/3757] lr: 1.000e-03 eta: 7:22:57 time: 0.719 data_time: 0.010 memory: 5148 grad_norm: 9.0108 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4432 loss: 1.4432 2022/06/28 15:04:12 - mmengine - INFO - Epoch(train) [74][1300/3757] lr: 1.000e-03 eta: 7:22:52 time: 0.211 data_time: 0.008 memory: 5148 grad_norm: 7.0597 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.0559 loss: 1.0559 2022/06/28 15:04:17 - mmengine - INFO - Epoch(train) [74][1320/3757] lr: 1.000e-03 eta: 7:22:47 time: 0.209 data_time: 0.010 memory: 5148 grad_norm: 7.5677 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2232 loss: 1.2232 2022/06/28 15:04:23 - mmengine - INFO - Epoch(train) [74][1340/3757] lr: 1.000e-03 eta: 7:22:41 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 7.9570 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1396 loss: 1.1396 2022/06/28 15:04:28 - mmengine - INFO - Epoch(train) [74][1360/3757] lr: 1.000e-03 eta: 7:22:36 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 8.0634 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6144 loss: 1.6144 2022/06/28 15:04:34 - mmengine - INFO - Epoch(train) [74][1380/3757] lr: 1.000e-03 eta: 7:22:31 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 9.3187 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4037 loss: 1.4037 2022/06/28 15:04:40 - mmengine - INFO - Epoch(train) [74][1400/3757] lr: 1.000e-03 eta: 7:22:26 time: 0.214 data_time: 0.010 memory: 5148 grad_norm: 7.3446 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0028 loss: 1.0028 2022/06/28 15:04:44 - mmengine - INFO - Epoch(train) [74][1420/3757] lr: 1.000e-03 eta: 7:22:20 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 9.1104 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4276 loss: 1.4276 2022/06/28 15:04:49 - mmengine - INFO - Epoch(train) [74][1440/3757] lr: 1.000e-03 eta: 7:22:14 time: 0.528 data_time: 0.008 memory: 5148 grad_norm: 7.7619 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1825 loss: 1.1825 2022/06/28 15:04:54 - mmengine - INFO - Epoch(train) [74][1460/3757] lr: 1.000e-03 eta: 7:22:09 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 7.7524 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5011 loss: 1.5011 2022/06/28 15:04:59 - mmengine - INFO - Epoch(train) [74][1480/3757] lr: 1.000e-03 eta: 7:22:04 time: 0.215 data_time: 0.011 memory: 5148 grad_norm: 7.6306 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1051 loss: 1.1051 2022/06/28 15:05:05 - mmengine - INFO - Epoch(train) [74][1500/3757] lr: 1.000e-03 eta: 7:21:59 time: 0.987 data_time: 0.008 memory: 5148 grad_norm: 8.3696 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1095 loss: 1.1095 2022/06/28 15:05:10 - mmengine - INFO - Epoch(train) [74][1520/3757] lr: 1.000e-03 eta: 7:21:53 time: 0.208 data_time: 0.013 memory: 5148 grad_norm: 7.0338 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2267 loss: 1.2267 2022/06/28 15:05:15 - mmengine - INFO - Epoch(train) [74][1540/3757] lr: 1.000e-03 eta: 7:21:48 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 9.2183 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3272 loss: 1.3272 2022/06/28 15:05:20 - mmengine - INFO - Epoch(train) [74][1560/3757] lr: 1.000e-03 eta: 7:21:42 time: 0.391 data_time: 0.008 memory: 5148 grad_norm: 7.3719 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0419 loss: 1.0419 2022/06/28 15:05:25 - mmengine - INFO - Epoch(train) [74][1580/3757] lr: 1.000e-03 eta: 7:21:37 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 8.2174 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1444 loss: 1.1444 2022/06/28 15:05:31 - mmengine - INFO - Epoch(train) [74][1600/3757] lr: 1.000e-03 eta: 7:21:32 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 7.4577 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5117 loss: 1.5117 2022/06/28 15:05:36 - mmengine - INFO - Epoch(train) [74][1620/3757] lr: 1.000e-03 eta: 7:21:26 time: 0.217 data_time: 0.006 memory: 5148 grad_norm: 7.2373 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1694 loss: 1.1694 2022/06/28 15:05:41 - mmengine - INFO - Epoch(train) [74][1640/3757] lr: 1.000e-03 eta: 7:21:21 time: 0.453 data_time: 0.012 memory: 5148 grad_norm: 10.0384 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2201 loss: 1.2201 2022/06/28 15:05:47 - mmengine - INFO - Epoch(train) [74][1660/3757] lr: 1.000e-03 eta: 7:21:16 time: 0.408 data_time: 0.007 memory: 5148 grad_norm: 9.0037 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4880 loss: 1.4880 2022/06/28 15:05:52 - mmengine - INFO - Epoch(train) [74][1680/3757] lr: 1.000e-03 eta: 7:21:10 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 6.4301 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3841 loss: 1.3841 2022/06/28 15:05:57 - mmengine - INFO - Epoch(train) [74][1700/3757] lr: 1.000e-03 eta: 7:21:05 time: 0.526 data_time: 0.010 memory: 5148 grad_norm: 8.3837 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2454 loss: 1.2454 2022/06/28 15:06:03 - mmengine - INFO - Epoch(train) [74][1720/3757] lr: 1.000e-03 eta: 7:21:00 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 8.0361 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2089 loss: 1.2089 2022/06/28 15:06:08 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 15:06:08 - mmengine - INFO - Epoch(train) [74][1740/3757] lr: 1.000e-03 eta: 7:20:55 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 8.4640 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1216 loss: 1.1216 2022/06/28 15:06:13 - mmengine - INFO - Epoch(train) [74][1760/3757] lr: 1.000e-03 eta: 7:20:49 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 9.7436 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2256 loss: 1.2256 2022/06/28 15:06:19 - mmengine - INFO - Epoch(train) [74][1780/3757] lr: 1.000e-03 eta: 7:20:44 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 8.6966 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4916 loss: 1.4916 2022/06/28 15:06:24 - mmengine - INFO - Epoch(train) [74][1800/3757] lr: 1.000e-03 eta: 7:20:39 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 9.5359 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0664 loss: 1.0664 2022/06/28 15:06:29 - mmengine - INFO - Epoch(train) [74][1820/3757] lr: 1.000e-03 eta: 7:20:33 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 8.6620 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3484 loss: 1.3484 2022/06/28 15:06:34 - mmengine - INFO - Epoch(train) [74][1840/3757] lr: 1.000e-03 eta: 7:20:28 time: 0.713 data_time: 0.008 memory: 5148 grad_norm: 7.1555 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2254 loss: 1.2254 2022/06/28 15:06:40 - mmengine - INFO - Epoch(train) [74][1860/3757] lr: 1.000e-03 eta: 7:20:23 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 7.3720 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0428 loss: 1.0428 2022/06/28 15:06:45 - mmengine - INFO - Epoch(train) [74][1880/3757] lr: 1.000e-03 eta: 7:20:17 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 7.1172 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2729 loss: 1.2729 2022/06/28 15:06:50 - mmengine - INFO - Epoch(train) [74][1900/3757] lr: 1.000e-03 eta: 7:20:12 time: 0.235 data_time: 0.007 memory: 5148 grad_norm: 7.5194 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1984 loss: 1.1984 2022/06/28 15:06:56 - mmengine - INFO - Epoch(train) [74][1920/3757] lr: 1.000e-03 eta: 7:20:07 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 8.9423 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1514 loss: 1.1514 2022/06/28 15:07:02 - mmengine - INFO - Epoch(train) [74][1940/3757] lr: 1.000e-03 eta: 7:20:02 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 7.3674 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3416 loss: 1.3416 2022/06/28 15:07:07 - mmengine - INFO - Epoch(train) [74][1960/3757] lr: 1.000e-03 eta: 7:19:56 time: 0.295 data_time: 0.007 memory: 5148 grad_norm: 9.0390 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2014 loss: 1.2014 2022/06/28 15:07:12 - mmengine - INFO - Epoch(train) [74][1980/3757] lr: 1.000e-03 eta: 7:19:51 time: 0.221 data_time: 0.008 memory: 5148 grad_norm: 7.3785 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9812 loss: 0.9812 2022/06/28 15:07:17 - mmengine - INFO - Epoch(train) [74][2000/3757] lr: 1.000e-03 eta: 7:19:46 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 8.5698 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2884 loss: 1.2884 2022/06/28 15:07:22 - mmengine - INFO - Epoch(train) [74][2020/3757] lr: 1.000e-03 eta: 7:19:40 time: 0.219 data_time: 0.007 memory: 5148 grad_norm: 8.3498 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3801 loss: 1.3801 2022/06/28 15:07:28 - mmengine - INFO - Epoch(train) [74][2040/3757] lr: 1.000e-03 eta: 7:19:35 time: 0.215 data_time: 0.010 memory: 5148 grad_norm: 7.9968 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0779 loss: 1.0779 2022/06/28 15:07:33 - mmengine - INFO - Epoch(train) [74][2060/3757] lr: 1.000e-03 eta: 7:19:30 time: 0.218 data_time: 0.014 memory: 5148 grad_norm: 8.0172 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3099 loss: 1.3099 2022/06/28 15:07:38 - mmengine - INFO - Epoch(train) [74][2080/3757] lr: 1.000e-03 eta: 7:19:24 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 7.9465 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1141 loss: 1.1141 2022/06/28 15:07:44 - mmengine - INFO - Epoch(train) [74][2100/3757] lr: 1.000e-03 eta: 7:19:19 time: 0.197 data_time: 0.013 memory: 5148 grad_norm: 8.2478 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0889 loss: 1.0889 2022/06/28 15:07:49 - mmengine - INFO - Epoch(train) [74][2120/3757] lr: 1.000e-03 eta: 7:19:14 time: 0.399 data_time: 0.010 memory: 5148 grad_norm: 8.9087 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0012 loss: 1.0012 2022/06/28 15:07:54 - mmengine - INFO - Epoch(train) [74][2140/3757] lr: 1.000e-03 eta: 7:19:08 time: 0.219 data_time: 0.007 memory: 5148 grad_norm: 7.4447 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3533 loss: 1.3533 2022/06/28 15:07:59 - mmengine - INFO - Epoch(train) [74][2160/3757] lr: 1.000e-03 eta: 7:19:03 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 8.4662 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1711 loss: 1.1711 2022/06/28 15:08:05 - mmengine - INFO - Epoch(train) [74][2180/3757] lr: 1.000e-03 eta: 7:18:58 time: 0.214 data_time: 0.010 memory: 5148 grad_norm: 8.2647 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1264 loss: 1.1264 2022/06/28 15:08:10 - mmengine - INFO - Epoch(train) [74][2200/3757] lr: 1.000e-03 eta: 7:18:52 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 7.8021 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5073 loss: 1.5073 2022/06/28 15:08:15 - mmengine - INFO - Epoch(train) [74][2220/3757] lr: 1.000e-03 eta: 7:18:47 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 6.7737 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3683 loss: 1.3683 2022/06/28 15:08:20 - mmengine - INFO - Epoch(train) [74][2240/3757] lr: 1.000e-03 eta: 7:18:42 time: 0.287 data_time: 0.007 memory: 5148 grad_norm: 8.3045 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5469 loss: 1.5469 2022/06/28 15:08:26 - mmengine - INFO - Epoch(train) [74][2260/3757] lr: 1.000e-03 eta: 7:18:37 time: 0.300 data_time: 0.010 memory: 5148 grad_norm: 8.0192 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1286 loss: 1.1286 2022/06/28 15:08:32 - mmengine - INFO - Epoch(train) [74][2280/3757] lr: 1.000e-03 eta: 7:18:31 time: 0.206 data_time: 0.012 memory: 5148 grad_norm: 9.0687 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6221 loss: 1.6221 2022/06/28 15:08:37 - mmengine - INFO - Epoch(train) [74][2300/3757] lr: 1.000e-03 eta: 7:18:26 time: 0.431 data_time: 0.008 memory: 5148 grad_norm: 8.4836 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5842 loss: 1.5842 2022/06/28 15:08:42 - mmengine - INFO - Epoch(train) [74][2320/3757] lr: 1.000e-03 eta: 7:18:20 time: 0.200 data_time: 0.009 memory: 5148 grad_norm: 8.2951 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1685 loss: 1.1685 2022/06/28 15:08:48 - mmengine - INFO - Epoch(train) [74][2340/3757] lr: 1.000e-03 eta: 7:18:15 time: 0.217 data_time: 0.020 memory: 5148 grad_norm: 8.3270 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9875 loss: 0.9875 2022/06/28 15:08:52 - mmengine - INFO - Epoch(train) [74][2360/3757] lr: 1.000e-03 eta: 7:18:10 time: 0.371 data_time: 0.007 memory: 5148 grad_norm: 8.9262 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1936 loss: 1.1936 2022/06/28 15:08:58 - mmengine - INFO - Epoch(train) [74][2380/3757] lr: 1.000e-03 eta: 7:18:05 time: 0.212 data_time: 0.008 memory: 5148 grad_norm: 7.7686 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4832 loss: 1.4832 2022/06/28 15:09:03 - mmengine - INFO - Epoch(train) [74][2400/3757] lr: 1.000e-03 eta: 7:17:59 time: 0.201 data_time: 0.024 memory: 5148 grad_norm: 8.7659 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4358 loss: 1.4358 2022/06/28 15:09:08 - mmengine - INFO - Epoch(train) [74][2420/3757] lr: 1.000e-03 eta: 7:17:54 time: 0.220 data_time: 0.008 memory: 5148 grad_norm: 9.1393 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2090 loss: 1.2090 2022/06/28 15:09:14 - mmengine - INFO - Epoch(train) [74][2440/3757] lr: 1.000e-03 eta: 7:17:49 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 8.8927 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0016 loss: 1.0016 2022/06/28 15:09:19 - mmengine - INFO - Epoch(train) [74][2460/3757] lr: 1.000e-03 eta: 7:17:43 time: 0.215 data_time: 0.038 memory: 5148 grad_norm: 9.4428 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2479 loss: 1.2479 2022/06/28 15:09:25 - mmengine - INFO - Epoch(train) [74][2480/3757] lr: 1.000e-03 eta: 7:17:38 time: 1.063 data_time: 0.008 memory: 5148 grad_norm: 8.2382 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2324 loss: 1.2324 2022/06/28 15:09:30 - mmengine - INFO - Epoch(train) [74][2500/3757] lr: 1.000e-03 eta: 7:17:33 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 9.4882 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6155 loss: 1.6155 2022/06/28 15:09:36 - mmengine - INFO - Epoch(train) [74][2520/3757] lr: 1.000e-03 eta: 7:17:28 time: 0.227 data_time: 0.041 memory: 5148 grad_norm: 8.1894 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3788 loss: 1.3788 2022/06/28 15:09:41 - mmengine - INFO - Epoch(train) [74][2540/3757] lr: 1.000e-03 eta: 7:17:22 time: 0.884 data_time: 0.007 memory: 5148 grad_norm: 7.3148 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2022 loss: 1.2022 2022/06/28 15:09:46 - mmengine - INFO - Epoch(train) [74][2560/3757] lr: 1.000e-03 eta: 7:17:17 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 9.7473 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3357 loss: 1.3357 2022/06/28 15:09:51 - mmengine - INFO - Epoch(train) [74][2580/3757] lr: 1.000e-03 eta: 7:17:12 time: 0.213 data_time: 0.031 memory: 5148 grad_norm: 9.1309 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3774 loss: 1.3774 2022/06/28 15:09:56 - mmengine - INFO - Epoch(train) [74][2600/3757] lr: 1.000e-03 eta: 7:17:06 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 9.1857 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2716 loss: 1.2716 2022/06/28 15:10:02 - mmengine - INFO - Epoch(train) [74][2620/3757] lr: 1.000e-03 eta: 7:17:01 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 8.8013 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2899 loss: 1.2899 2022/06/28 15:10:08 - mmengine - INFO - Epoch(train) [74][2640/3757] lr: 1.000e-03 eta: 7:16:56 time: 0.216 data_time: 0.033 memory: 5148 grad_norm: 8.5223 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1327 loss: 1.1327 2022/06/28 15:10:13 - mmengine - INFO - Epoch(train) [74][2660/3757] lr: 1.000e-03 eta: 7:16:51 time: 0.788 data_time: 0.008 memory: 5148 grad_norm: 8.2132 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6740 loss: 1.6740 2022/06/28 15:10:18 - mmengine - INFO - Epoch(train) [74][2680/3757] lr: 1.000e-03 eta: 7:16:45 time: 0.231 data_time: 0.007 memory: 5148 grad_norm: 8.3886 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5213 loss: 1.5213 2022/06/28 15:10:23 - mmengine - INFO - Epoch(train) [74][2700/3757] lr: 1.000e-03 eta: 7:16:40 time: 0.232 data_time: 0.040 memory: 5148 grad_norm: 9.1187 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6473 loss: 1.6473 2022/06/28 15:10:28 - mmengine - INFO - Epoch(train) [74][2720/3757] lr: 1.000e-03 eta: 7:16:34 time: 0.215 data_time: 0.011 memory: 5148 grad_norm: 7.4772 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3788 loss: 1.3788 2022/06/28 15:10:33 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 15:10:33 - mmengine - INFO - Epoch(train) [74][2740/3757] lr: 1.000e-03 eta: 7:16:29 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 9.5574 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0913 loss: 1.0913 2022/06/28 15:10:39 - mmengine - INFO - Epoch(train) [74][2760/3757] lr: 1.000e-03 eta: 7:16:24 time: 0.210 data_time: 0.032 memory: 5148 grad_norm: 7.6257 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2429 loss: 1.2429 2022/06/28 15:10:44 - mmengine - INFO - Epoch(train) [74][2780/3757] lr: 1.000e-03 eta: 7:16:18 time: 0.212 data_time: 0.013 memory: 5148 grad_norm: 8.7664 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4180 loss: 1.4180 2022/06/28 15:10:50 - mmengine - INFO - Epoch(train) [74][2800/3757] lr: 1.000e-03 eta: 7:16:13 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 9.0080 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2757 loss: 1.2757 2022/06/28 15:10:56 - mmengine - INFO - Epoch(train) [74][2820/3757] lr: 1.000e-03 eta: 7:16:08 time: 0.210 data_time: 0.029 memory: 5148 grad_norm: 9.1263 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4886 loss: 1.4886 2022/06/28 15:11:00 - mmengine - INFO - Epoch(train) [74][2840/3757] lr: 1.000e-03 eta: 7:16:03 time: 0.197 data_time: 0.014 memory: 5148 grad_norm: 7.5650 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3761 loss: 1.3761 2022/06/28 15:11:06 - mmengine - INFO - Epoch(train) [74][2860/3757] lr: 1.000e-03 eta: 7:15:57 time: 0.208 data_time: 0.006 memory: 5148 grad_norm: 9.0843 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3650 loss: 1.3650 2022/06/28 15:11:11 - mmengine - INFO - Epoch(train) [74][2880/3757] lr: 1.000e-03 eta: 7:15:52 time: 0.215 data_time: 0.032 memory: 5148 grad_norm: 7.9047 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3431 loss: 1.3431 2022/06/28 15:11:16 - mmengine - INFO - Epoch(train) [74][2900/3757] lr: 1.000e-03 eta: 7:15:47 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 7.9557 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6871 loss: 1.6871 2022/06/28 15:11:21 - mmengine - INFO - Epoch(train) [74][2920/3757] lr: 1.000e-03 eta: 7:15:41 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 8.8634 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5905 loss: 1.5905 2022/06/28 15:11:27 - mmengine - INFO - Epoch(train) [74][2940/3757] lr: 1.000e-03 eta: 7:15:36 time: 0.406 data_time: 0.046 memory: 5148 grad_norm: 8.7562 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3103 loss: 1.3103 2022/06/28 15:11:31 - mmengine - INFO - Epoch(train) [74][2960/3757] lr: 1.000e-03 eta: 7:15:30 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 9.0221 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3497 loss: 1.3497 2022/06/28 15:11:37 - mmengine - INFO - Epoch(train) [74][2980/3757] lr: 1.000e-03 eta: 7:15:25 time: 0.226 data_time: 0.008 memory: 5148 grad_norm: 8.3870 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1624 loss: 1.1624 2022/06/28 15:11:42 - mmengine - INFO - Epoch(train) [74][3000/3757] lr: 1.000e-03 eta: 7:15:20 time: 0.213 data_time: 0.020 memory: 5148 grad_norm: 8.8084 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4227 loss: 1.4227 2022/06/28 15:11:48 - mmengine - INFO - Epoch(train) [74][3020/3757] lr: 1.000e-03 eta: 7:15:15 time: 0.221 data_time: 0.008 memory: 5148 grad_norm: 8.5155 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1787 loss: 1.1787 2022/06/28 15:11:53 - mmengine - INFO - Epoch(train) [74][3040/3757] lr: 1.000e-03 eta: 7:15:09 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 8.8503 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3195 loss: 1.3195 2022/06/28 15:11:59 - mmengine - INFO - Epoch(train) [74][3060/3757] lr: 1.000e-03 eta: 7:15:04 time: 0.211 data_time: 0.025 memory: 5148 grad_norm: 7.8672 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2638 loss: 1.2638 2022/06/28 15:12:03 - mmengine - INFO - Epoch(train) [74][3080/3757] lr: 1.000e-03 eta: 7:14:59 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 7.1870 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5363 loss: 1.5363 2022/06/28 15:12:09 - mmengine - INFO - Epoch(train) [74][3100/3757] lr: 1.000e-03 eta: 7:14:53 time: 0.240 data_time: 0.057 memory: 5148 grad_norm: 7.3159 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1290 loss: 1.1290 2022/06/28 15:12:14 - mmengine - INFO - Epoch(train) [74][3120/3757] lr: 1.000e-03 eta: 7:14:48 time: 0.209 data_time: 0.015 memory: 5148 grad_norm: 10.3125 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1574 loss: 1.1574 2022/06/28 15:12:20 - mmengine - INFO - Epoch(train) [74][3140/3757] lr: 1.000e-03 eta: 7:14:43 time: 0.221 data_time: 0.013 memory: 5148 grad_norm: 7.9443 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3242 loss: 1.3242 2022/06/28 15:12:24 - mmengine - INFO - Epoch(train) [74][3160/3757] lr: 1.000e-03 eta: 7:14:37 time: 0.209 data_time: 0.011 memory: 5148 grad_norm: 9.7526 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.5763 loss: 1.5763 2022/06/28 15:12:29 - mmengine - INFO - Epoch(train) [74][3180/3757] lr: 1.000e-03 eta: 7:14:32 time: 0.216 data_time: 0.013 memory: 5148 grad_norm: 8.2021 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0198 loss: 1.0198 2022/06/28 15:12:34 - mmengine - INFO - Epoch(train) [74][3200/3757] lr: 1.000e-03 eta: 7:14:26 time: 0.211 data_time: 0.010 memory: 5148 grad_norm: 8.2294 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1720 loss: 1.1720 2022/06/28 15:12:40 - mmengine - INFO - Epoch(train) [74][3220/3757] lr: 1.000e-03 eta: 7:14:21 time: 0.215 data_time: 0.012 memory: 5148 grad_norm: 8.5526 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3192 loss: 1.3192 2022/06/28 15:12:45 - mmengine - INFO - Epoch(train) [74][3240/3757] lr: 1.000e-03 eta: 7:14:16 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 8.3301 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3052 loss: 1.3052 2022/06/28 15:12:50 - mmengine - INFO - Epoch(train) [74][3260/3757] lr: 1.000e-03 eta: 7:14:11 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 7.3377 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4897 loss: 1.4897 2022/06/28 15:12:56 - mmengine - INFO - Epoch(train) [74][3280/3757] lr: 1.000e-03 eta: 7:14:05 time: 0.202 data_time: 0.017 memory: 5148 grad_norm: 7.4348 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0567 loss: 1.0567 2022/06/28 15:13:01 - mmengine - INFO - Epoch(train) [74][3300/3757] lr: 1.000e-03 eta: 7:14:00 time: 0.206 data_time: 0.012 memory: 5148 grad_norm: 6.9301 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2621 loss: 1.2621 2022/06/28 15:13:06 - mmengine - INFO - Epoch(train) [74][3320/3757] lr: 1.000e-03 eta: 7:13:55 time: 0.213 data_time: 0.008 memory: 5148 grad_norm: 8.8447 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2454 loss: 1.2454 2022/06/28 15:13:12 - mmengine - INFO - Epoch(train) [74][3340/3757] lr: 1.000e-03 eta: 7:13:49 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 8.9853 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4706 loss: 1.4706 2022/06/28 15:13:17 - mmengine - INFO - Epoch(train) [74][3360/3757] lr: 1.000e-03 eta: 7:13:44 time: 0.199 data_time: 0.012 memory: 5148 grad_norm: 7.9207 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3369 loss: 1.3369 2022/06/28 15:13:22 - mmengine - INFO - Epoch(train) [74][3380/3757] lr: 1.000e-03 eta: 7:13:39 time: 0.252 data_time: 0.007 memory: 5148 grad_norm: 7.3070 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9650 loss: 0.9650 2022/06/28 15:13:28 - mmengine - INFO - Epoch(train) [74][3400/3757] lr: 1.000e-03 eta: 7:13:33 time: 0.215 data_time: 0.010 memory: 5148 grad_norm: 9.9823 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3267 loss: 1.3267 2022/06/28 15:13:32 - mmengine - INFO - Epoch(train) [74][3420/3757] lr: 1.000e-03 eta: 7:13:28 time: 0.211 data_time: 0.008 memory: 5148 grad_norm: 9.2211 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1657 loss: 1.1657 2022/06/28 15:13:38 - mmengine - INFO - Epoch(train) [74][3440/3757] lr: 1.000e-03 eta: 7:13:22 time: 0.381 data_time: 0.010 memory: 5148 grad_norm: 8.6116 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1185 loss: 1.1185 2022/06/28 15:13:43 - mmengine - INFO - Epoch(train) [74][3460/3757] lr: 1.000e-03 eta: 7:13:17 time: 0.207 data_time: 0.015 memory: 5148 grad_norm: 10.1482 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2001 loss: 1.2001 2022/06/28 15:13:48 - mmengine - INFO - Epoch(train) [74][3480/3757] lr: 1.000e-03 eta: 7:13:12 time: 0.216 data_time: 0.011 memory: 5148 grad_norm: 8.1174 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4439 loss: 1.4439 2022/06/28 15:13:54 - mmengine - INFO - Epoch(train) [74][3500/3757] lr: 1.000e-03 eta: 7:13:07 time: 0.521 data_time: 0.010 memory: 5148 grad_norm: 8.7814 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0035 loss: 1.0035 2022/06/28 15:13:58 - mmengine - INFO - Epoch(train) [74][3520/3757] lr: 1.000e-03 eta: 7:13:01 time: 0.201 data_time: 0.015 memory: 5148 grad_norm: 8.2516 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3599 loss: 1.3599 2022/06/28 15:14:04 - mmengine - INFO - Epoch(train) [74][3540/3757] lr: 1.000e-03 eta: 7:12:56 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 8.6141 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3127 loss: 1.3127 2022/06/28 15:14:09 - mmengine - INFO - Epoch(train) [74][3560/3757] lr: 1.000e-03 eta: 7:12:51 time: 0.209 data_time: 0.017 memory: 5148 grad_norm: 8.2127 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0371 loss: 1.0371 2022/06/28 15:14:14 - mmengine - INFO - Epoch(train) [74][3580/3757] lr: 1.000e-03 eta: 7:12:45 time: 0.211 data_time: 0.013 memory: 5148 grad_norm: 8.9494 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3011 loss: 1.3011 2022/06/28 15:14:20 - mmengine - INFO - Epoch(train) [74][3600/3757] lr: 1.000e-03 eta: 7:12:40 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 8.9573 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2710 loss: 1.2710 2022/06/28 15:14:25 - mmengine - INFO - Epoch(train) [74][3620/3757] lr: 1.000e-03 eta: 7:12:35 time: 0.209 data_time: 0.011 memory: 5148 grad_norm: 7.6165 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2058 loss: 1.2058 2022/06/28 15:14:31 - mmengine - INFO - Epoch(train) [74][3640/3757] lr: 1.000e-03 eta: 7:12:29 time: 0.204 data_time: 0.015 memory: 5148 grad_norm: 8.2786 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3428 loss: 1.3428 2022/06/28 15:14:36 - mmengine - INFO - Epoch(train) [74][3660/3757] lr: 1.000e-03 eta: 7:12:24 time: 0.216 data_time: 0.011 memory: 5148 grad_norm: 9.1890 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2863 loss: 1.2863 2022/06/28 15:14:41 - mmengine - INFO - Epoch(train) [74][3680/3757] lr: 1.000e-03 eta: 7:12:19 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 8.6227 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2444 loss: 1.2444 2022/06/28 15:14:46 - mmengine - INFO - Epoch(train) [74][3700/3757] lr: 1.000e-03 eta: 7:12:13 time: 0.211 data_time: 0.011 memory: 5148 grad_norm: 8.3757 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2516 loss: 1.2516 2022/06/28 15:14:52 - mmengine - INFO - Epoch(train) [74][3720/3757] lr: 1.000e-03 eta: 7:12:08 time: 0.209 data_time: 0.010 memory: 5148 grad_norm: 7.9999 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3646 loss: 1.3646 2022/06/28 15:14:56 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 15:14:56 - mmengine - INFO - Epoch(train) [74][3740/3757] lr: 1.000e-03 eta: 7:12:03 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 6.6158 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4695 loss: 1.4695 2022/06/28 15:15:00 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 15:15:07 - mmengine - INFO - Epoch(val) [74][20/310] eta: 0:01:11 time: 0.268 data_time: 0.196 memory: 5148 2022/06/28 15:15:11 - mmengine - INFO - Epoch(val) [74][40/310] eta: 0:00:56 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 15:15:17 - mmengine - INFO - Epoch(val) [74][60/310] eta: 0:00:56 time: 0.085 data_time: 0.014 memory: 1367 2022/06/28 15:15:22 - mmengine - INFO - Epoch(val) [74][80/310] eta: 0:00:55 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 15:15:28 - mmengine - INFO - Epoch(val) [74][100/310] eta: 0:00:48 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 15:15:32 - mmengine - INFO - Epoch(val) [74][120/310] eta: 0:00:43 time: 0.085 data_time: 0.009 memory: 1367 2022/06/28 15:15:39 - mmengine - INFO - Epoch(val) [74][140/310] eta: 0:00:47 time: 0.617 data_time: 0.539 memory: 1367 2022/06/28 15:15:43 - mmengine - INFO - Epoch(val) [74][160/310] eta: 0:00:32 time: 0.211 data_time: 0.139 memory: 1367 2022/06/28 15:15:49 - mmengine - INFO - Epoch(val) [74][180/310] eta: 0:00:40 time: 0.962 data_time: 0.886 memory: 1367 2022/06/28 15:15:53 - mmengine - INFO - Epoch(val) [74][200/310] eta: 0:00:24 time: 0.079 data_time: 0.008 memory: 1367 2022/06/28 15:15:59 - mmengine - INFO - Epoch(val) [74][220/310] eta: 0:00:27 time: 0.297 data_time: 0.226 memory: 1367 2022/06/28 15:16:04 - mmengine - INFO - Epoch(val) [74][240/310] eta: 0:00:15 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 15:16:10 - mmengine - INFO - Epoch(val) [74][260/310] eta: 0:00:18 time: 0.144 data_time: 0.069 memory: 1367 2022/06/28 15:16:15 - mmengine - INFO - Epoch(val) [74][280/310] eta: 0:00:07 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 15:16:20 - mmengine - INFO - Epoch(val) [74][300/310] eta: 0:00:03 time: 0.538 data_time: 0.462 memory: 1367 2022/06/28 15:16:23 - mmengine - INFO - Epoch(val) [74][310/310] acc/top1: 0.6484 acc/top5: 0.8563 acc/mean1: 0.6482 2022/06/28 15:16:32 - mmengine - INFO - Epoch(train) [75][20/3757] lr: 1.000e-03 eta: 7:11:53 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 10.4237 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1321 loss: 1.1321 2022/06/28 15:16:38 - mmengine - INFO - Epoch(train) [75][40/3757] lr: 1.000e-03 eta: 7:11:48 time: 0.240 data_time: 0.017 memory: 5148 grad_norm: 8.7382 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3568 loss: 1.3568 2022/06/28 15:16:42 - mmengine - INFO - Epoch(train) [75][60/3757] lr: 1.000e-03 eta: 7:11:42 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 7.2241 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0553 loss: 1.0553 2022/06/28 15:16:48 - mmengine - INFO - Epoch(train) [75][80/3757] lr: 1.000e-03 eta: 7:11:37 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 8.2218 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4061 loss: 1.4061 2022/06/28 15:16:54 - mmengine - INFO - Epoch(train) [75][100/3757] lr: 1.000e-03 eta: 7:11:32 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 8.6415 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2522 loss: 1.2522 2022/06/28 15:16:59 - mmengine - INFO - Epoch(train) [75][120/3757] lr: 1.000e-03 eta: 7:11:27 time: 0.212 data_time: 0.008 memory: 5148 grad_norm: 8.7019 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1575 loss: 1.1575 2022/06/28 15:17:04 - mmengine - INFO - Epoch(train) [75][140/3757] lr: 1.000e-03 eta: 7:11:21 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 8.0042 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0757 loss: 1.0757 2022/06/28 15:17:10 - mmengine - INFO - Epoch(train) [75][160/3757] lr: 1.000e-03 eta: 7:11:16 time: 0.210 data_time: 0.012 memory: 5148 grad_norm: 7.7574 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9988 loss: 0.9988 2022/06/28 15:17:15 - mmengine - INFO - Epoch(train) [75][180/3757] lr: 1.000e-03 eta: 7:11:11 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 7.6148 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9391 loss: 0.9391 2022/06/28 15:17:20 - mmengine - INFO - Epoch(train) [75][200/3757] lr: 1.000e-03 eta: 7:11:05 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 8.4998 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5284 loss: 1.5284 2022/06/28 15:17:26 - mmengine - INFO - Epoch(train) [75][220/3757] lr: 1.000e-03 eta: 7:11:00 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 8.0598 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3631 loss: 1.3631 2022/06/28 15:17:31 - mmengine - INFO - Epoch(train) [75][240/3757] lr: 1.000e-03 eta: 7:10:55 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 9.8098 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.4837 loss: 1.4837 2022/06/28 15:17:37 - mmengine - INFO - Epoch(train) [75][260/3757] lr: 1.000e-03 eta: 7:10:50 time: 0.200 data_time: 0.009 memory: 5148 grad_norm: 9.1416 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1529 loss: 1.1529 2022/06/28 15:17:42 - mmengine - INFO - Epoch(train) [75][280/3757] lr: 1.000e-03 eta: 7:10:44 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 8.5570 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6635 loss: 1.6635 2022/06/28 15:17:47 - mmengine - INFO - Epoch(train) [75][300/3757] lr: 1.000e-03 eta: 7:10:39 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 8.6953 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4718 loss: 1.4718 2022/06/28 15:17:52 - mmengine - INFO - Epoch(train) [75][320/3757] lr: 1.000e-03 eta: 7:10:34 time: 0.204 data_time: 0.009 memory: 5148 grad_norm: 7.1625 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2288 loss: 1.2288 2022/06/28 15:17:58 - mmengine - INFO - Epoch(train) [75][340/3757] lr: 1.000e-03 eta: 7:10:28 time: 0.208 data_time: 0.019 memory: 5148 grad_norm: 8.5106 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8710 loss: 0.8710 2022/06/28 15:18:03 - mmengine - INFO - Epoch(train) [75][360/3757] lr: 1.000e-03 eta: 7:10:23 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 7.2861 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4414 loss: 1.4414 2022/06/28 15:18:08 - mmengine - INFO - Epoch(train) [75][380/3757] lr: 1.000e-03 eta: 7:10:18 time: 0.201 data_time: 0.014 memory: 5148 grad_norm: 7.7000 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7385 loss: 1.7385 2022/06/28 15:18:14 - mmengine - INFO - Epoch(train) [75][400/3757] lr: 1.000e-03 eta: 7:10:12 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 8.5305 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8930 loss: 0.8930 2022/06/28 15:18:18 - mmengine - INFO - Epoch(train) [75][420/3757] lr: 1.000e-03 eta: 7:10:07 time: 0.198 data_time: 0.012 memory: 5148 grad_norm: 7.7426 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2250 loss: 1.2250 2022/06/28 15:18:23 - mmengine - INFO - Epoch(train) [75][440/3757] lr: 1.000e-03 eta: 7:10:02 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 7.3559 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4931 loss: 1.4931 2022/06/28 15:18:29 - mmengine - INFO - Epoch(train) [75][460/3757] lr: 1.000e-03 eta: 7:09:56 time: 0.230 data_time: 0.014 memory: 5148 grad_norm: 9.0778 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2111 loss: 1.2111 2022/06/28 15:18:34 - mmengine - INFO - Epoch(train) [75][480/3757] lr: 1.000e-03 eta: 7:09:51 time: 0.196 data_time: 0.015 memory: 5148 grad_norm: 8.1408 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2927 loss: 1.2927 2022/06/28 15:18:40 - mmengine - INFO - Epoch(train) [75][500/3757] lr: 1.000e-03 eta: 7:09:46 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 8.4893 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9171 loss: 0.9171 2022/06/28 15:18:45 - mmengine - INFO - Epoch(train) [75][520/3757] lr: 1.000e-03 eta: 7:09:40 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 8.3797 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3689 loss: 1.3689 2022/06/28 15:18:50 - mmengine - INFO - Epoch(train) [75][540/3757] lr: 1.000e-03 eta: 7:09:35 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 8.2880 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4946 loss: 1.4946 2022/06/28 15:18:55 - mmengine - INFO - Epoch(train) [75][560/3757] lr: 1.000e-03 eta: 7:09:30 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 8.4786 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3118 loss: 1.3118 2022/06/28 15:19:00 - mmengine - INFO - Epoch(train) [75][580/3757] lr: 1.000e-03 eta: 7:09:24 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 8.5212 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9989 loss: 0.9989 2022/06/28 15:19:05 - mmengine - INFO - Epoch(train) [75][600/3757] lr: 1.000e-03 eta: 7:09:19 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 8.9866 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3319 loss: 1.3319 2022/06/28 15:19:11 - mmengine - INFO - Epoch(train) [75][620/3757] lr: 1.000e-03 eta: 7:09:13 time: 0.210 data_time: 0.010 memory: 5148 grad_norm: 8.7774 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4725 loss: 1.4725 2022/06/28 15:19:16 - mmengine - INFO - Epoch(train) [75][640/3757] lr: 1.000e-03 eta: 7:09:08 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 8.0995 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3343 loss: 1.3343 2022/06/28 15:19:21 - mmengine - INFO - Epoch(train) [75][660/3757] lr: 1.000e-03 eta: 7:09:03 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 8.9880 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2792 loss: 1.2792 2022/06/28 15:19:26 - mmengine - INFO - Epoch(train) [75][680/3757] lr: 1.000e-03 eta: 7:08:57 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 8.6674 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2532 loss: 1.2532 2022/06/28 15:19:31 - mmengine - INFO - Epoch(train) [75][700/3757] lr: 1.000e-03 eta: 7:08:52 time: 0.193 data_time: 0.010 memory: 5148 grad_norm: 7.2007 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2655 loss: 1.2655 2022/06/28 15:19:37 - mmengine - INFO - Epoch(train) [75][720/3757] lr: 1.000e-03 eta: 7:08:47 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 9.0283 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2377 loss: 1.2377 2022/06/28 15:19:42 - mmengine - INFO - Epoch(train) [75][740/3757] lr: 1.000e-03 eta: 7:08:41 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 8.1580 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1653 loss: 1.1653 2022/06/28 15:19:47 - mmengine - INFO - Epoch(train) [75][760/3757] lr: 1.000e-03 eta: 7:08:36 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 7.6733 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2576 loss: 1.2576 2022/06/28 15:19:52 - mmengine - INFO - Epoch(train) [75][780/3757] lr: 1.000e-03 eta: 7:08:31 time: 0.199 data_time: 0.018 memory: 5148 grad_norm: 8.4994 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3778 loss: 1.3778 2022/06/28 15:19:58 - mmengine - INFO - Epoch(train) [75][800/3757] lr: 1.000e-03 eta: 7:08:25 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 9.4382 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3132 loss: 1.3132 2022/06/28 15:20:03 - mmengine - INFO - Epoch(train) [75][820/3757] lr: 1.000e-03 eta: 7:08:20 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 7.0040 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0822 loss: 1.0822 2022/06/28 15:20:09 - mmengine - INFO - Epoch(train) [75][840/3757] lr: 1.000e-03 eta: 7:08:15 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 7.5996 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5303 loss: 1.5303 2022/06/28 15:20:14 - mmengine - INFO - Epoch(train) [75][860/3757] lr: 1.000e-03 eta: 7:08:10 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 9.5175 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3608 loss: 1.3608 2022/06/28 15:20:19 - mmengine - INFO - Epoch(train) [75][880/3757] lr: 1.000e-03 eta: 7:08:04 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 9.7206 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9820 loss: 0.9820 2022/06/28 15:20:24 - mmengine - INFO - Epoch(train) [75][900/3757] lr: 1.000e-03 eta: 7:07:59 time: 0.197 data_time: 0.016 memory: 5148 grad_norm: 7.9999 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4899 loss: 1.4899 2022/06/28 15:20:30 - mmengine - INFO - Epoch(train) [75][920/3757] lr: 1.000e-03 eta: 7:07:54 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 9.4595 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3212 loss: 1.3212 2022/06/28 15:20:35 - mmengine - INFO - Epoch(train) [75][940/3757] lr: 1.000e-03 eta: 7:07:48 time: 0.199 data_time: 0.013 memory: 5148 grad_norm: 9.2793 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2374 loss: 1.2374 2022/06/28 15:20:40 - mmengine - INFO - Epoch(train) [75][960/3757] lr: 1.000e-03 eta: 7:07:43 time: 0.212 data_time: 0.016 memory: 5148 grad_norm: 7.6776 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5278 loss: 1.5278 2022/06/28 15:20:45 - mmengine - INFO - Epoch(train) [75][980/3757] lr: 1.000e-03 eta: 7:07:38 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 7.3312 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1929 loss: 1.1929 2022/06/28 15:20:46 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 15:20:51 - mmengine - INFO - Epoch(train) [75][1000/3757] lr: 1.000e-03 eta: 7:07:32 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 9.5955 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4586 loss: 1.4586 2022/06/28 15:20:56 - mmengine - INFO - Epoch(train) [75][1020/3757] lr: 1.000e-03 eta: 7:07:27 time: 0.439 data_time: 0.011 memory: 5148 grad_norm: 9.0486 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5104 loss: 1.5104 2022/06/28 15:21:01 - mmengine - INFO - Epoch(train) [75][1040/3757] lr: 1.000e-03 eta: 7:07:22 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 8.8625 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0941 loss: 1.0941 2022/06/28 15:21:07 - mmengine - INFO - Epoch(train) [75][1060/3757] lr: 1.000e-03 eta: 7:07:16 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 7.6896 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5398 loss: 1.5398 2022/06/28 15:21:11 - mmengine - INFO - Epoch(train) [75][1080/3757] lr: 1.000e-03 eta: 7:07:11 time: 0.239 data_time: 0.014 memory: 5148 grad_norm: 9.2650 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2647 loss: 1.2647 2022/06/28 15:21:17 - mmengine - INFO - Epoch(train) [75][1100/3757] lr: 1.000e-03 eta: 7:07:06 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 9.0447 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3294 loss: 1.3294 2022/06/28 15:21:22 - mmengine - INFO - Epoch(train) [75][1120/3757] lr: 1.000e-03 eta: 7:07:00 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 9.3465 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2500 loss: 1.2500 2022/06/28 15:21:28 - mmengine - INFO - Epoch(train) [75][1140/3757] lr: 1.000e-03 eta: 7:06:55 time: 0.291 data_time: 0.011 memory: 5148 grad_norm: 7.8049 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0088 loss: 1.0088 2022/06/28 15:21:33 - mmengine - INFO - Epoch(train) [75][1160/3757] lr: 1.000e-03 eta: 7:06:50 time: 0.199 data_time: 0.015 memory: 5148 grad_norm: 8.4364 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1976 loss: 1.1976 2022/06/28 15:21:38 - mmengine - INFO - Epoch(train) [75][1180/3757] lr: 1.000e-03 eta: 7:06:44 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 7.9332 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3006 loss: 1.3006 2022/06/28 15:21:43 - mmengine - INFO - Epoch(train) [75][1200/3757] lr: 1.000e-03 eta: 7:06:39 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 9.9068 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3356 loss: 1.3356 2022/06/28 15:21:48 - mmengine - INFO - Epoch(train) [75][1220/3757] lr: 1.000e-03 eta: 7:06:34 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 8.8062 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5925 loss: 1.5925 2022/06/28 15:21:54 - mmengine - INFO - Epoch(train) [75][1240/3757] lr: 1.000e-03 eta: 7:06:28 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 9.0083 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2575 loss: 1.2575 2022/06/28 15:21:59 - mmengine - INFO - Epoch(train) [75][1260/3757] lr: 1.000e-03 eta: 7:06:23 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 10.5251 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4978 loss: 1.4978 2022/06/28 15:22:04 - mmengine - INFO - Epoch(train) [75][1280/3757] lr: 1.000e-03 eta: 7:06:18 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 8.6360 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2505 loss: 1.2505 2022/06/28 15:22:10 - mmengine - INFO - Epoch(train) [75][1300/3757] lr: 1.000e-03 eta: 7:06:12 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 7.3584 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1558 loss: 1.1558 2022/06/28 15:22:15 - mmengine - INFO - Epoch(train) [75][1320/3757] lr: 1.000e-03 eta: 7:06:07 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 8.7921 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2274 loss: 1.2274 2022/06/28 15:22:20 - mmengine - INFO - Epoch(train) [75][1340/3757] lr: 1.000e-03 eta: 7:06:02 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 7.6892 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2884 loss: 1.2884 2022/06/28 15:22:25 - mmengine - INFO - Epoch(train) [75][1360/3757] lr: 1.000e-03 eta: 7:05:56 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 9.6823 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4509 loss: 1.4509 2022/06/28 15:22:31 - mmengine - INFO - Epoch(train) [75][1380/3757] lr: 1.000e-03 eta: 7:05:51 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 8.0325 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4676 loss: 1.4676 2022/06/28 15:22:36 - mmengine - INFO - Epoch(train) [75][1400/3757] lr: 1.000e-03 eta: 7:05:46 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 9.4912 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0712 loss: 1.0712 2022/06/28 15:22:41 - mmengine - INFO - Epoch(train) [75][1420/3757] lr: 1.000e-03 eta: 7:05:40 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 7.9066 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7581 loss: 1.7581 2022/06/28 15:22:46 - mmengine - INFO - Epoch(train) [75][1440/3757] lr: 1.000e-03 eta: 7:05:35 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 9.9866 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0702 loss: 1.0702 2022/06/28 15:22:51 - mmengine - INFO - Epoch(train) [75][1460/3757] lr: 1.000e-03 eta: 7:05:30 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 8.1438 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5790 loss: 1.5790 2022/06/28 15:22:57 - mmengine - INFO - Epoch(train) [75][1480/3757] lr: 1.000e-03 eta: 7:05:24 time: 0.211 data_time: 0.008 memory: 5148 grad_norm: 9.7099 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3998 loss: 1.3998 2022/06/28 15:23:02 - mmengine - INFO - Epoch(train) [75][1500/3757] lr: 1.000e-03 eta: 7:05:19 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 8.5560 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1427 loss: 1.1427 2022/06/28 15:23:07 - mmengine - INFO - Epoch(train) [75][1520/3757] lr: 1.000e-03 eta: 7:05:14 time: 0.208 data_time: 0.010 memory: 5148 grad_norm: 8.5603 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9597 loss: 0.9597 2022/06/28 15:23:13 - mmengine - INFO - Epoch(train) [75][1540/3757] lr: 1.000e-03 eta: 7:05:08 time: 0.257 data_time: 0.011 memory: 5148 grad_norm: 8.3601 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7034 loss: 0.7034 2022/06/28 15:23:18 - mmengine - INFO - Epoch(train) [75][1560/3757] lr: 1.000e-03 eta: 7:05:03 time: 0.220 data_time: 0.007 memory: 5148 grad_norm: 6.8526 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6668 loss: 1.6668 2022/06/28 15:23:23 - mmengine - INFO - Epoch(train) [75][1580/3757] lr: 1.000e-03 eta: 7:04:58 time: 0.202 data_time: 0.024 memory: 5148 grad_norm: 9.0949 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3145 loss: 1.3145 2022/06/28 15:23:29 - mmengine - INFO - Epoch(train) [75][1600/3757] lr: 1.000e-03 eta: 7:04:53 time: 0.202 data_time: 0.016 memory: 5148 grad_norm: 8.6632 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3321 loss: 1.3321 2022/06/28 15:23:34 - mmengine - INFO - Epoch(train) [75][1620/3757] lr: 1.000e-03 eta: 7:04:47 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 9.2745 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4838 loss: 1.4838 2022/06/28 15:23:39 - mmengine - INFO - Epoch(train) [75][1640/3757] lr: 1.000e-03 eta: 7:04:42 time: 0.206 data_time: 0.013 memory: 5148 grad_norm: 9.0475 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4608 loss: 1.4608 2022/06/28 15:23:44 - mmengine - INFO - Epoch(train) [75][1660/3757] lr: 1.000e-03 eta: 7:04:37 time: 0.218 data_time: 0.010 memory: 5148 grad_norm: 8.3594 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3474 loss: 1.3474 2022/06/28 15:23:50 - mmengine - INFO - Epoch(train) [75][1680/3757] lr: 1.000e-03 eta: 7:04:31 time: 0.198 data_time: 0.019 memory: 5148 grad_norm: 8.0234 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1390 loss: 1.1390 2022/06/28 15:23:54 - mmengine - INFO - Epoch(train) [75][1700/3757] lr: 1.000e-03 eta: 7:04:26 time: 0.196 data_time: 0.012 memory: 5148 grad_norm: 8.2722 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3220 loss: 1.3220 2022/06/28 15:24:00 - mmengine - INFO - Epoch(train) [75][1720/3757] lr: 1.000e-03 eta: 7:04:20 time: 0.212 data_time: 0.011 memory: 5148 grad_norm: 7.0885 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4924 loss: 1.4924 2022/06/28 15:24:05 - mmengine - INFO - Epoch(train) [75][1740/3757] lr: 1.000e-03 eta: 7:04:15 time: 0.201 data_time: 0.015 memory: 5148 grad_norm: 8.6765 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2212 loss: 1.2212 2022/06/28 15:24:10 - mmengine - INFO - Epoch(train) [75][1760/3757] lr: 1.000e-03 eta: 7:04:10 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 8.9432 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2308 loss: 1.2308 2022/06/28 15:24:15 - mmengine - INFO - Epoch(train) [75][1780/3757] lr: 1.000e-03 eta: 7:04:04 time: 0.208 data_time: 0.014 memory: 5148 grad_norm: 10.3249 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0456 loss: 1.0456 2022/06/28 15:24:21 - mmengine - INFO - Epoch(train) [75][1800/3757] lr: 1.000e-03 eta: 7:03:59 time: 0.219 data_time: 0.020 memory: 5148 grad_norm: 9.5455 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3121 loss: 1.3121 2022/06/28 15:24:26 - mmengine - INFO - Epoch(train) [75][1820/3757] lr: 1.000e-03 eta: 7:03:54 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 9.0042 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2917 loss: 1.2917 2022/06/28 15:24:31 - mmengine - INFO - Epoch(train) [75][1840/3757] lr: 1.000e-03 eta: 7:03:48 time: 0.208 data_time: 0.011 memory: 5148 grad_norm: 8.3290 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2077 loss: 1.2077 2022/06/28 15:24:37 - mmengine - INFO - Epoch(train) [75][1860/3757] lr: 1.000e-03 eta: 7:03:43 time: 0.207 data_time: 0.015 memory: 5148 grad_norm: 9.0864 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2970 loss: 1.2970 2022/06/28 15:24:42 - mmengine - INFO - Epoch(train) [75][1880/3757] lr: 1.000e-03 eta: 7:03:38 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 7.4651 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0017 loss: 1.0017 2022/06/28 15:24:48 - mmengine - INFO - Epoch(train) [75][1900/3757] lr: 1.000e-03 eta: 7:03:33 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 9.0317 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5686 loss: 1.5686 2022/06/28 15:24:53 - mmengine - INFO - Epoch(train) [75][1920/3757] lr: 1.000e-03 eta: 7:03:27 time: 0.219 data_time: 0.011 memory: 5148 grad_norm: 9.7009 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3515 loss: 1.3515 2022/06/28 15:24:58 - mmengine - INFO - Epoch(train) [75][1940/3757] lr: 1.000e-03 eta: 7:03:22 time: 0.226 data_time: 0.010 memory: 5148 grad_norm: 10.7473 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0021 loss: 1.0021 2022/06/28 15:25:03 - mmengine - INFO - Epoch(train) [75][1960/3757] lr: 1.000e-03 eta: 7:03:17 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 8.3294 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1707 loss: 1.1707 2022/06/28 15:25:09 - mmengine - INFO - Epoch(train) [75][1980/3757] lr: 1.000e-03 eta: 7:03:11 time: 0.210 data_time: 0.011 memory: 5148 grad_norm: 9.0748 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5179 loss: 1.5179 2022/06/28 15:25:10 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 15:25:14 - mmengine - INFO - Epoch(train) [75][2000/3757] lr: 1.000e-03 eta: 7:03:06 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 8.8701 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8428 loss: 0.8428 2022/06/28 15:25:20 - mmengine - INFO - Epoch(train) [75][2020/3757] lr: 1.000e-03 eta: 7:03:01 time: 0.211 data_time: 0.020 memory: 5148 grad_norm: 8.8010 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1915 loss: 1.1915 2022/06/28 15:25:25 - mmengine - INFO - Epoch(train) [75][2040/3757] lr: 1.000e-03 eta: 7:02:56 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 8.8935 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3694 loss: 1.3694 2022/06/28 15:25:31 - mmengine - INFO - Epoch(train) [75][2060/3757] lr: 1.000e-03 eta: 7:02:50 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 7.5832 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8272 loss: 0.8272 2022/06/28 15:25:35 - mmengine - INFO - Epoch(train) [75][2080/3757] lr: 1.000e-03 eta: 7:02:45 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 8.0912 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3950 loss: 1.3950 2022/06/28 15:25:41 - mmengine - INFO - Epoch(train) [75][2100/3757] lr: 1.000e-03 eta: 7:02:40 time: 0.211 data_time: 0.010 memory: 5148 grad_norm: 7.9655 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2523 loss: 1.2523 2022/06/28 15:25:46 - mmengine - INFO - Epoch(train) [75][2120/3757] lr: 1.000e-03 eta: 7:02:34 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 8.7705 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2042 loss: 1.2042 2022/06/28 15:25:51 - mmengine - INFO - Epoch(train) [75][2140/3757] lr: 1.000e-03 eta: 7:02:29 time: 0.225 data_time: 0.015 memory: 5148 grad_norm: 7.7658 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1075 loss: 1.1075 2022/06/28 15:25:57 - mmengine - INFO - Epoch(train) [75][2160/3757] lr: 1.000e-03 eta: 7:02:24 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 8.0160 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0177 loss: 1.0177 2022/06/28 15:26:02 - mmengine - INFO - Epoch(train) [75][2180/3757] lr: 1.000e-03 eta: 7:02:18 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 7.5086 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2361 loss: 1.2361 2022/06/28 15:26:07 - mmengine - INFO - Epoch(train) [75][2200/3757] lr: 1.000e-03 eta: 7:02:13 time: 0.205 data_time: 0.015 memory: 5148 grad_norm: 8.9065 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0151 loss: 1.0151 2022/06/28 15:26:12 - mmengine - INFO - Epoch(train) [75][2220/3757] lr: 1.000e-03 eta: 7:02:08 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 10.4914 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7831 loss: 1.7831 2022/06/28 15:26:18 - mmengine - INFO - Epoch(train) [75][2240/3757] lr: 1.000e-03 eta: 7:02:02 time: 0.218 data_time: 0.007 memory: 5148 grad_norm: 7.4510 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1674 loss: 1.1674 2022/06/28 15:26:23 - mmengine - INFO - Epoch(train) [75][2260/3757] lr: 1.000e-03 eta: 7:01:57 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 8.7385 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0750 loss: 1.0750 2022/06/28 15:26:28 - mmengine - INFO - Epoch(train) [75][2280/3757] lr: 1.000e-03 eta: 7:01:51 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 7.8828 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7921 loss: 1.7921 2022/06/28 15:26:33 - mmengine - INFO - Epoch(train) [75][2300/3757] lr: 1.000e-03 eta: 7:01:46 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 7.8440 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3529 loss: 1.3529 2022/06/28 15:26:39 - mmengine - INFO - Epoch(train) [75][2320/3757] lr: 1.000e-03 eta: 7:01:41 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 7.5433 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3611 loss: 1.3611 2022/06/28 15:26:44 - mmengine - INFO - Epoch(train) [75][2340/3757] lr: 1.000e-03 eta: 7:01:35 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 10.5114 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1622 loss: 1.1622 2022/06/28 15:26:50 - mmengine - INFO - Epoch(train) [75][2360/3757] lr: 1.000e-03 eta: 7:01:30 time: 0.219 data_time: 0.008 memory: 5148 grad_norm: 8.1251 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5575 loss: 1.5575 2022/06/28 15:26:55 - mmengine - INFO - Epoch(train) [75][2380/3757] lr: 1.000e-03 eta: 7:01:25 time: 0.197 data_time: 0.015 memory: 5148 grad_norm: 7.7310 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1922 loss: 1.1922 2022/06/28 15:27:00 - mmengine - INFO - Epoch(train) [75][2400/3757] lr: 1.000e-03 eta: 7:01:20 time: 0.217 data_time: 0.010 memory: 5148 grad_norm: 8.3658 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1565 loss: 1.1565 2022/06/28 15:27:06 - mmengine - INFO - Epoch(train) [75][2420/3757] lr: 1.000e-03 eta: 7:01:15 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 8.8896 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5127 loss: 1.5127 2022/06/28 15:27:10 - mmengine - INFO - Epoch(train) [75][2440/3757] lr: 1.000e-03 eta: 7:01:09 time: 0.201 data_time: 0.017 memory: 5148 grad_norm: 8.1412 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0353 loss: 1.0353 2022/06/28 15:27:15 - mmengine - INFO - Epoch(train) [75][2460/3757] lr: 1.000e-03 eta: 7:01:04 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 10.3062 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0646 loss: 1.0646 2022/06/28 15:27:21 - mmengine - INFO - Epoch(train) [75][2480/3757] lr: 1.000e-03 eta: 7:00:58 time: 0.212 data_time: 0.012 memory: 5148 grad_norm: 7.0612 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6548 loss: 1.6548 2022/06/28 15:27:27 - mmengine - INFO - Epoch(train) [75][2500/3757] lr: 1.000e-03 eta: 7:00:53 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 7.8161 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2421 loss: 1.2421 2022/06/28 15:27:31 - mmengine - INFO - Epoch(train) [75][2520/3757] lr: 1.000e-03 eta: 7:00:48 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 8.4713 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4774 loss: 1.4774 2022/06/28 15:27:36 - mmengine - INFO - Epoch(train) [75][2540/3757] lr: 1.000e-03 eta: 7:00:42 time: 0.214 data_time: 0.010 memory: 5148 grad_norm: 7.7856 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4679 loss: 1.4679 2022/06/28 15:27:42 - mmengine - INFO - Epoch(train) [75][2560/3757] lr: 1.000e-03 eta: 7:00:37 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 7.9661 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0979 loss: 1.0979 2022/06/28 15:27:47 - mmengine - INFO - Epoch(train) [75][2580/3757] lr: 1.000e-03 eta: 7:00:31 time: 0.203 data_time: 0.012 memory: 5148 grad_norm: 8.0539 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1719 loss: 1.1719 2022/06/28 15:27:52 - mmengine - INFO - Epoch(train) [75][2600/3757] lr: 1.000e-03 eta: 7:00:26 time: 0.441 data_time: 0.013 memory: 5148 grad_norm: 9.0395 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3952 loss: 1.3952 2022/06/28 15:27:57 - mmengine - INFO - Epoch(train) [75][2620/3757] lr: 1.000e-03 eta: 7:00:21 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 8.5318 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3822 loss: 1.3822 2022/06/28 15:28:02 - mmengine - INFO - Epoch(train) [75][2640/3757] lr: 1.000e-03 eta: 7:00:15 time: 0.334 data_time: 0.007 memory: 5148 grad_norm: 9.3980 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4379 loss: 1.4379 2022/06/28 15:28:08 - mmengine - INFO - Epoch(train) [75][2660/3757] lr: 1.000e-03 eta: 7:00:10 time: 0.225 data_time: 0.007 memory: 5148 grad_norm: 8.2410 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3181 loss: 1.3181 2022/06/28 15:28:13 - mmengine - INFO - Epoch(train) [75][2680/3757] lr: 1.000e-03 eta: 7:00:05 time: 0.194 data_time: 0.011 memory: 5148 grad_norm: 7.9231 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2308 loss: 1.2308 2022/06/28 15:28:19 - mmengine - INFO - Epoch(train) [75][2700/3757] lr: 1.000e-03 eta: 7:00:00 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 8.6608 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3975 loss: 1.3975 2022/06/28 15:28:24 - mmengine - INFO - Epoch(train) [75][2720/3757] lr: 1.000e-03 eta: 6:59:55 time: 0.223 data_time: 0.008 memory: 5148 grad_norm: 8.6884 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3274 loss: 1.3274 2022/06/28 15:28:29 - mmengine - INFO - Epoch(train) [75][2740/3757] lr: 1.000e-03 eta: 6:59:49 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 8.3212 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2639 loss: 1.2639 2022/06/28 15:28:34 - mmengine - INFO - Epoch(train) [75][2760/3757] lr: 1.000e-03 eta: 6:59:44 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 8.0919 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1595 loss: 1.1595 2022/06/28 15:28:40 - mmengine - INFO - Epoch(train) [75][2780/3757] lr: 1.000e-03 eta: 6:59:38 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 10.2044 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3769 loss: 1.3769 2022/06/28 15:28:45 - mmengine - INFO - Epoch(train) [75][2800/3757] lr: 1.000e-03 eta: 6:59:33 time: 0.321 data_time: 0.008 memory: 5148 grad_norm: 9.9746 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3300 loss: 1.3300 2022/06/28 15:28:51 - mmengine - INFO - Epoch(train) [75][2820/3757] lr: 1.000e-03 eta: 6:59:28 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 10.0669 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4823 loss: 1.4823 2022/06/28 15:28:56 - mmengine - INFO - Epoch(train) [75][2840/3757] lr: 1.000e-03 eta: 6:59:23 time: 0.218 data_time: 0.007 memory: 5148 grad_norm: 7.8006 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2180 loss: 1.2180 2022/06/28 15:29:01 - mmengine - INFO - Epoch(train) [75][2860/3757] lr: 1.000e-03 eta: 6:59:17 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 7.4658 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3684 loss: 1.3684 2022/06/28 15:29:06 - mmengine - INFO - Epoch(train) [75][2880/3757] lr: 1.000e-03 eta: 6:59:12 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 8.9535 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4569 loss: 1.4569 2022/06/28 15:29:12 - mmengine - INFO - Epoch(train) [75][2900/3757] lr: 1.000e-03 eta: 6:59:07 time: 0.232 data_time: 0.010 memory: 5148 grad_norm: 9.9255 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1916 loss: 1.1916 2022/06/28 15:29:17 - mmengine - INFO - Epoch(train) [75][2920/3757] lr: 1.000e-03 eta: 6:59:01 time: 0.220 data_time: 0.007 memory: 5148 grad_norm: 7.8601 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3330 loss: 1.3330 2022/06/28 15:29:22 - mmengine - INFO - Epoch(train) [75][2940/3757] lr: 1.000e-03 eta: 6:58:56 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 7.7047 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7173 loss: 1.7173 2022/06/28 15:29:27 - mmengine - INFO - Epoch(train) [75][2960/3757] lr: 1.000e-03 eta: 6:58:51 time: 0.215 data_time: 0.010 memory: 5148 grad_norm: 8.3250 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4740 loss: 1.4740 2022/06/28 15:29:33 - mmengine - INFO - Epoch(train) [75][2980/3757] lr: 1.000e-03 eta: 6:58:45 time: 0.621 data_time: 0.007 memory: 5148 grad_norm: 7.6458 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2906 loss: 1.2906 2022/06/28 15:29:34 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 15:29:38 - mmengine - INFO - Epoch(train) [75][3000/3757] lr: 1.000e-03 eta: 6:58:40 time: 0.204 data_time: 0.014 memory: 5148 grad_norm: 7.3335 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1394 loss: 1.1394 2022/06/28 15:29:43 - mmengine - INFO - Epoch(train) [75][3020/3757] lr: 1.000e-03 eta: 6:58:35 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 10.0872 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2971 loss: 1.2971 2022/06/28 15:29:49 - mmengine - INFO - Epoch(train) [75][3040/3757] lr: 1.000e-03 eta: 6:58:29 time: 1.219 data_time: 0.007 memory: 5148 grad_norm: 8.9194 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2234 loss: 1.2234 2022/06/28 15:29:53 - mmengine - INFO - Epoch(train) [75][3060/3757] lr: 1.000e-03 eta: 6:58:24 time: 0.206 data_time: 0.023 memory: 5148 grad_norm: 9.0554 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2239 loss: 1.2239 2022/06/28 15:29:59 - mmengine - INFO - Epoch(train) [75][3080/3757] lr: 1.000e-03 eta: 6:58:19 time: 0.213 data_time: 0.013 memory: 5148 grad_norm: 8.8572 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3401 loss: 1.3401 2022/06/28 15:30:05 - mmengine - INFO - Epoch(train) [75][3100/3757] lr: 1.000e-03 eta: 6:58:13 time: 0.843 data_time: 0.007 memory: 5148 grad_norm: 7.4975 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2902 loss: 1.2902 2022/06/28 15:30:10 - mmengine - INFO - Epoch(train) [75][3120/3757] lr: 1.000e-03 eta: 6:58:08 time: 0.201 data_time: 0.019 memory: 5148 grad_norm: 7.6332 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2360 loss: 1.2360 2022/06/28 15:30:15 - mmengine - INFO - Epoch(train) [75][3140/3757] lr: 1.000e-03 eta: 6:58:03 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 9.3016 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6198 loss: 1.6198 2022/06/28 15:30:20 - mmengine - INFO - Epoch(train) [75][3160/3757] lr: 1.000e-03 eta: 6:57:57 time: 0.893 data_time: 0.007 memory: 5148 grad_norm: 6.3919 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0358 loss: 1.0358 2022/06/28 15:30:25 - mmengine - INFO - Epoch(train) [75][3180/3757] lr: 1.000e-03 eta: 6:57:52 time: 0.206 data_time: 0.019 memory: 5148 grad_norm: 7.8730 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1705 loss: 1.1705 2022/06/28 15:30:30 - mmengine - INFO - Epoch(train) [75][3200/3757] lr: 1.000e-03 eta: 6:57:47 time: 0.200 data_time: 0.013 memory: 5148 grad_norm: 8.2378 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3080 loss: 1.3080 2022/06/28 15:30:36 - mmengine - INFO - Epoch(train) [75][3220/3757] lr: 1.000e-03 eta: 6:57:41 time: 0.667 data_time: 0.009 memory: 5148 grad_norm: 7.1906 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3037 loss: 1.3037 2022/06/28 15:30:41 - mmengine - INFO - Epoch(train) [75][3240/3757] lr: 1.000e-03 eta: 6:57:36 time: 0.212 data_time: 0.029 memory: 5148 grad_norm: 6.9748 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0033 loss: 1.0033 2022/06/28 15:30:46 - mmengine - INFO - Epoch(train) [75][3260/3757] lr: 1.000e-03 eta: 6:57:31 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 7.6182 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4885 loss: 1.4885 2022/06/28 15:30:52 - mmengine - INFO - Epoch(train) [75][3280/3757] lr: 1.000e-03 eta: 6:57:25 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 9.0543 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5566 loss: 1.5566 2022/06/28 15:30:56 - mmengine - INFO - Epoch(train) [75][3300/3757] lr: 1.000e-03 eta: 6:57:20 time: 0.214 data_time: 0.030 memory: 5148 grad_norm: 8.4134 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4079 loss: 1.4079 2022/06/28 15:31:02 - mmengine - INFO - Epoch(train) [75][3320/3757] lr: 1.000e-03 eta: 6:57:15 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 8.0964 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0964 loss: 2.0964 2022/06/28 15:31:08 - mmengine - INFO - Epoch(train) [75][3340/3757] lr: 1.000e-03 eta: 6:57:09 time: 0.219 data_time: 0.006 memory: 5148 grad_norm: 8.4349 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2806 loss: 1.2806 2022/06/28 15:31:12 - mmengine - INFO - Epoch(train) [75][3360/3757] lr: 1.000e-03 eta: 6:57:04 time: 0.206 data_time: 0.018 memory: 5148 grad_norm: 8.7001 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3855 loss: 1.3855 2022/06/28 15:31:18 - mmengine - INFO - Epoch(train) [75][3380/3757] lr: 1.000e-03 eta: 6:56:59 time: 0.213 data_time: 0.008 memory: 5148 grad_norm: 8.8052 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8985 loss: 0.8985 2022/06/28 15:31:24 - mmengine - INFO - Epoch(train) [75][3400/3757] lr: 1.000e-03 eta: 6:56:54 time: 0.945 data_time: 0.008 memory: 5148 grad_norm: 7.6070 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0697 loss: 1.0697 2022/06/28 15:31:28 - mmengine - INFO - Epoch(train) [75][3420/3757] lr: 1.000e-03 eta: 6:56:48 time: 0.204 data_time: 0.012 memory: 5148 grad_norm: 7.6756 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1665 loss: 1.1665 2022/06/28 15:31:34 - mmengine - INFO - Epoch(train) [75][3440/3757] lr: 1.000e-03 eta: 6:56:43 time: 0.221 data_time: 0.006 memory: 5148 grad_norm: 9.7921 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4620 loss: 1.4620 2022/06/28 15:31:39 - mmengine - INFO - Epoch(train) [75][3460/3757] lr: 1.000e-03 eta: 6:56:37 time: 0.621 data_time: 0.008 memory: 5148 grad_norm: 7.3131 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0966 loss: 1.0966 2022/06/28 15:31:44 - mmengine - INFO - Epoch(train) [75][3480/3757] lr: 1.000e-03 eta: 6:56:32 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 8.5798 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5902 loss: 1.5902 2022/06/28 15:31:50 - mmengine - INFO - Epoch(train) [75][3500/3757] lr: 1.000e-03 eta: 6:56:27 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 8.0237 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4466 loss: 1.4466 2022/06/28 15:31:55 - mmengine - INFO - Epoch(train) [75][3520/3757] lr: 1.000e-03 eta: 6:56:21 time: 0.222 data_time: 0.008 memory: 5148 grad_norm: 8.0270 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5313 loss: 1.5313 2022/06/28 15:31:59 - mmengine - INFO - Epoch(train) [75][3540/3757] lr: 1.000e-03 eta: 6:56:16 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 7.5303 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4028 loss: 1.4028 2022/06/28 15:32:05 - mmengine - INFO - Epoch(train) [75][3560/3757] lr: 1.000e-03 eta: 6:56:11 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 7.2549 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0397 loss: 1.0397 2022/06/28 15:32:10 - mmengine - INFO - Epoch(train) [75][3580/3757] lr: 1.000e-03 eta: 6:56:05 time: 0.428 data_time: 0.008 memory: 5148 grad_norm: 10.1936 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0158 loss: 1.0158 2022/06/28 15:32:15 - mmengine - INFO - Epoch(train) [75][3600/3757] lr: 1.000e-03 eta: 6:56:00 time: 0.205 data_time: 0.016 memory: 5148 grad_norm: 9.5991 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1216 loss: 1.1216 2022/06/28 15:32:20 - mmengine - INFO - Epoch(train) [75][3620/3757] lr: 1.000e-03 eta: 6:55:54 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 8.3162 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5049 loss: 1.5049 2022/06/28 15:32:26 - mmengine - INFO - Epoch(train) [75][3640/3757] lr: 1.000e-03 eta: 6:55:49 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 8.1507 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8344 loss: 0.8344 2022/06/28 15:32:31 - mmengine - INFO - Epoch(train) [75][3660/3757] lr: 1.000e-03 eta: 6:55:44 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 7.6716 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0587 loss: 1.0587 2022/06/28 15:32:36 - mmengine - INFO - Epoch(train) [75][3680/3757] lr: 1.000e-03 eta: 6:55:38 time: 0.353 data_time: 0.007 memory: 5148 grad_norm: 7.2877 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0921 loss: 1.0921 2022/06/28 15:32:41 - mmengine - INFO - Epoch(train) [75][3700/3757] lr: 1.000e-03 eta: 6:55:33 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 9.0073 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1977 loss: 1.1977 2022/06/28 15:32:47 - mmengine - INFO - Epoch(train) [75][3720/3757] lr: 1.000e-03 eta: 6:55:28 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 7.5942 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4092 loss: 1.4092 2022/06/28 15:32:52 - mmengine - INFO - Epoch(train) [75][3740/3757] lr: 1.000e-03 eta: 6:55:23 time: 0.269 data_time: 0.007 memory: 5148 grad_norm: 8.2681 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2323 loss: 1.2323 2022/06/28 15:32:55 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 15:32:55 - mmengine - INFO - Saving checkpoint at 75 epochs 2022/06/28 15:33:05 - mmengine - INFO - Epoch(val) [75][20/310] eta: 0:01:11 time: 0.203 data_time: 0.130 memory: 5148 2022/06/28 15:33:09 - mmengine - INFO - Epoch(val) [75][40/310] eta: 0:00:59 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 15:33:15 - mmengine - INFO - Epoch(val) [75][60/310] eta: 0:00:55 time: 0.084 data_time: 0.005 memory: 1367 2022/06/28 15:33:20 - mmengine - INFO - Epoch(val) [75][80/310] eta: 0:00:55 time: 0.081 data_time: 0.009 memory: 1367 2022/06/28 15:33:26 - mmengine - INFO - Epoch(val) [75][100/310] eta: 0:00:48 time: 0.083 data_time: 0.005 memory: 1367 2022/06/28 15:33:30 - mmengine - INFO - Epoch(val) [75][120/310] eta: 0:00:43 time: 0.084 data_time: 0.008 memory: 1367 2022/06/28 15:33:36 - mmengine - INFO - Epoch(val) [75][140/310] eta: 0:00:47 time: 0.593 data_time: 0.518 memory: 1367 2022/06/28 15:33:41 - mmengine - INFO - Epoch(val) [75][160/310] eta: 0:00:33 time: 0.088 data_time: 0.015 memory: 1367 2022/06/28 15:33:47 - mmengine - INFO - Epoch(val) [75][180/310] eta: 0:00:43 time: 1.014 data_time: 0.943 memory: 1367 2022/06/28 15:33:51 - mmengine - INFO - Epoch(val) [75][200/310] eta: 0:00:23 time: 0.085 data_time: 0.008 memory: 1367 2022/06/28 15:33:57 - mmengine - INFO - Epoch(val) [75][220/310] eta: 0:00:30 time: 0.080 data_time: 0.008 memory: 1367 2022/06/28 15:34:02 - mmengine - INFO - Epoch(val) [75][240/310] eta: 0:00:14 time: 0.079 data_time: 0.008 memory: 1367 2022/06/28 15:34:08 - mmengine - INFO - Epoch(val) [75][260/310] eta: 0:00:16 time: 0.146 data_time: 0.068 memory: 1367 2022/06/28 15:34:12 - mmengine - INFO - Epoch(val) [75][280/310] eta: 0:00:06 time: 0.083 data_time: 0.005 memory: 1367 2022/06/28 15:34:17 - mmengine - INFO - Epoch(val) [75][300/310] eta: 0:00:02 time: 0.326 data_time: 0.250 memory: 1367 2022/06/28 15:34:19 - mmengine - INFO - Epoch(val) [75][310/310] acc/top1: 0.6526 acc/top5: 0.8579 acc/mean1: 0.6524 2022/06/28 15:34:27 - mmengine - INFO - Epoch(train) [76][20/3757] lr: 1.000e-03 eta: 6:55:13 time: 0.195 data_time: 0.016 memory: 5148 grad_norm: 7.9659 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3276 loss: 1.3276 2022/06/28 15:34:33 - mmengine - INFO - Epoch(train) [76][40/3757] lr: 1.000e-03 eta: 6:55:08 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 8.7717 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4566 loss: 1.4566 2022/06/28 15:34:38 - mmengine - INFO - Epoch(train) [76][60/3757] lr: 1.000e-03 eta: 6:55:02 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 8.9011 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.6663 loss: 1.6663 2022/06/28 15:34:44 - mmengine - INFO - Epoch(train) [76][80/3757] lr: 1.000e-03 eta: 6:54:57 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 8.8169 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1095 loss: 1.1095 2022/06/28 15:34:49 - mmengine - INFO - Epoch(train) [76][100/3757] lr: 1.000e-03 eta: 6:54:52 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 8.9934 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4499 loss: 1.4499 2022/06/28 15:34:54 - mmengine - INFO - Epoch(train) [76][120/3757] lr: 1.000e-03 eta: 6:54:46 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 7.4629 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3561 loss: 1.3561 2022/06/28 15:35:00 - mmengine - INFO - Epoch(train) [76][140/3757] lr: 1.000e-03 eta: 6:54:41 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 8.7088 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2272 loss: 1.2272 2022/06/28 15:35:05 - mmengine - INFO - Epoch(train) [76][160/3757] lr: 1.000e-03 eta: 6:54:36 time: 0.195 data_time: 0.012 memory: 5148 grad_norm: 8.2446 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3866 loss: 1.3866 2022/06/28 15:35:10 - mmengine - INFO - Epoch(train) [76][180/3757] lr: 1.000e-03 eta: 6:54:30 time: 0.200 data_time: 0.014 memory: 5148 grad_norm: 8.0253 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1970 loss: 1.1970 2022/06/28 15:35:16 - mmengine - INFO - Epoch(train) [76][200/3757] lr: 1.000e-03 eta: 6:54:25 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 8.9521 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1923 loss: 1.1923 2022/06/28 15:35:21 - mmengine - INFO - Epoch(train) [76][220/3757] lr: 1.000e-03 eta: 6:54:20 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 9.5948 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2298 loss: 1.2298 2022/06/28 15:35:22 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 15:35:26 - mmengine - INFO - Epoch(train) [76][240/3757] lr: 1.000e-03 eta: 6:54:15 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 9.6071 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2794 loss: 1.2794 2022/06/28 15:35:32 - mmengine - INFO - Epoch(train) [76][260/3757] lr: 1.000e-03 eta: 6:54:09 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 7.9370 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4705 loss: 1.4705 2022/06/28 15:35:37 - mmengine - INFO - Epoch(train) [76][280/3757] lr: 1.000e-03 eta: 6:54:04 time: 0.252 data_time: 0.006 memory: 5148 grad_norm: 9.2439 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2307 loss: 1.2307 2022/06/28 15:35:42 - mmengine - INFO - Epoch(train) [76][300/3757] lr: 1.000e-03 eta: 6:53:59 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 9.5771 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6610 loss: 1.6610 2022/06/28 15:35:48 - mmengine - INFO - Epoch(train) [76][320/3757] lr: 1.000e-03 eta: 6:53:53 time: 0.201 data_time: 0.009 memory: 5148 grad_norm: 8.1747 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2027 loss: 1.2027 2022/06/28 15:35:53 - mmengine - INFO - Epoch(train) [76][340/3757] lr: 1.000e-03 eta: 6:53:48 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 8.8190 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3179 loss: 1.3179 2022/06/28 15:35:58 - mmengine - INFO - Epoch(train) [76][360/3757] lr: 1.000e-03 eta: 6:53:43 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 10.2432 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.3401 loss: 1.3401 2022/06/28 15:36:03 - mmengine - INFO - Epoch(train) [76][380/3757] lr: 1.000e-03 eta: 6:53:37 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 10.2207 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3917 loss: 1.3917 2022/06/28 15:36:09 - mmengine - INFO - Epoch(train) [76][400/3757] lr: 1.000e-03 eta: 6:53:32 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 7.6544 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3042 loss: 1.3042 2022/06/28 15:36:13 - mmengine - INFO - Epoch(train) [76][420/3757] lr: 1.000e-03 eta: 6:53:26 time: 0.201 data_time: 0.014 memory: 5148 grad_norm: 9.1412 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2336 loss: 1.2336 2022/06/28 15:36:18 - mmengine - INFO - Epoch(train) [76][440/3757] lr: 1.000e-03 eta: 6:53:21 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 8.5395 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0283 loss: 1.0283 2022/06/28 15:36:24 - mmengine - INFO - Epoch(train) [76][460/3757] lr: 1.000e-03 eta: 6:53:16 time: 0.205 data_time: 0.014 memory: 5148 grad_norm: 8.1348 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4033 loss: 1.4033 2022/06/28 15:36:29 - mmengine - INFO - Epoch(train) [76][480/3757] lr: 1.000e-03 eta: 6:53:11 time: 0.198 data_time: 0.012 memory: 5148 grad_norm: 8.9699 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4924 loss: 1.4924 2022/06/28 15:36:35 - mmengine - INFO - Epoch(train) [76][500/3757] lr: 1.000e-03 eta: 6:53:05 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 9.2095 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1860 loss: 1.1860 2022/06/28 15:36:40 - mmengine - INFO - Epoch(train) [76][520/3757] lr: 1.000e-03 eta: 6:53:00 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 7.7401 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1310 loss: 1.1310 2022/06/28 15:36:45 - mmengine - INFO - Epoch(train) [76][540/3757] lr: 1.000e-03 eta: 6:52:55 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 8.8410 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1610 loss: 1.1610 2022/06/28 15:36:50 - mmengine - INFO - Epoch(train) [76][560/3757] lr: 1.000e-03 eta: 6:52:49 time: 0.211 data_time: 0.010 memory: 5148 grad_norm: 8.4700 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2017 loss: 1.2017 2022/06/28 15:36:56 - mmengine - INFO - Epoch(train) [76][580/3757] lr: 1.000e-03 eta: 6:52:44 time: 0.194 data_time: 0.013 memory: 5148 grad_norm: 7.4646 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4482 loss: 1.4482 2022/06/28 15:37:01 - mmengine - INFO - Epoch(train) [76][600/3757] lr: 1.000e-03 eta: 6:52:39 time: 0.216 data_time: 0.010 memory: 5148 grad_norm: 8.2701 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2829 loss: 1.2829 2022/06/28 15:37:06 - mmengine - INFO - Epoch(train) [76][620/3757] lr: 1.000e-03 eta: 6:52:33 time: 0.199 data_time: 0.016 memory: 5148 grad_norm: 8.1398 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0653 loss: 1.0653 2022/06/28 15:37:12 - mmengine - INFO - Epoch(train) [76][640/3757] lr: 1.000e-03 eta: 6:52:28 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 7.8127 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2971 loss: 1.2971 2022/06/28 15:37:17 - mmengine - INFO - Epoch(train) [76][660/3757] lr: 1.000e-03 eta: 6:52:23 time: 0.199 data_time: 0.012 memory: 5148 grad_norm: 9.3409 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4202 loss: 1.4202 2022/06/28 15:37:22 - mmengine - INFO - Epoch(train) [76][680/3757] lr: 1.000e-03 eta: 6:52:17 time: 0.198 data_time: 0.014 memory: 5148 grad_norm: 7.1842 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2339 loss: 1.2339 2022/06/28 15:37:27 - mmengine - INFO - Epoch(train) [76][700/3757] lr: 1.000e-03 eta: 6:52:12 time: 0.216 data_time: 0.011 memory: 5148 grad_norm: 7.5383 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9042 loss: 0.9042 2022/06/28 15:37:32 - mmengine - INFO - Epoch(train) [76][720/3757] lr: 1.000e-03 eta: 6:52:07 time: 0.194 data_time: 0.012 memory: 5148 grad_norm: 10.0365 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3697 loss: 1.3697 2022/06/28 15:37:38 - mmengine - INFO - Epoch(train) [76][740/3757] lr: 1.000e-03 eta: 6:52:01 time: 0.208 data_time: 0.014 memory: 5148 grad_norm: 10.2063 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2802 loss: 1.2802 2022/06/28 15:37:43 - mmengine - INFO - Epoch(train) [76][760/3757] lr: 1.000e-03 eta: 6:51:56 time: 0.207 data_time: 0.006 memory: 5148 grad_norm: 9.5551 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3447 loss: 1.3447 2022/06/28 15:37:48 - mmengine - INFO - Epoch(train) [76][780/3757] lr: 1.000e-03 eta: 6:51:51 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 7.6688 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7257 loss: 1.7257 2022/06/28 15:37:53 - mmengine - INFO - Epoch(train) [76][800/3757] lr: 1.000e-03 eta: 6:51:45 time: 0.208 data_time: 0.020 memory: 5148 grad_norm: 8.9948 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0911 loss: 1.0911 2022/06/28 15:37:59 - mmengine - INFO - Epoch(train) [76][820/3757] lr: 1.000e-03 eta: 6:51:40 time: 0.346 data_time: 0.010 memory: 5148 grad_norm: 8.1648 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4626 loss: 1.4626 2022/06/28 15:38:04 - mmengine - INFO - Epoch(train) [76][840/3757] lr: 1.000e-03 eta: 6:51:35 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 8.8746 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3845 loss: 1.3845 2022/06/28 15:38:09 - mmengine - INFO - Epoch(train) [76][860/3757] lr: 1.000e-03 eta: 6:51:29 time: 0.201 data_time: 0.013 memory: 5148 grad_norm: 9.8817 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4775 loss: 1.4775 2022/06/28 15:38:15 - mmengine - INFO - Epoch(train) [76][880/3757] lr: 1.000e-03 eta: 6:51:24 time: 0.474 data_time: 0.010 memory: 5148 grad_norm: 9.3402 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4021 loss: 1.4021 2022/06/28 15:38:19 - mmengine - INFO - Epoch(train) [76][900/3757] lr: 1.000e-03 eta: 6:51:19 time: 0.270 data_time: 0.007 memory: 5148 grad_norm: 7.7740 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1311 loss: 1.1311 2022/06/28 15:38:25 - mmengine - INFO - Epoch(train) [76][920/3757] lr: 1.000e-03 eta: 6:51:13 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 7.4038 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0972 loss: 1.0972 2022/06/28 15:38:30 - mmengine - INFO - Epoch(train) [76][940/3757] lr: 1.000e-03 eta: 6:51:08 time: 0.399 data_time: 0.010 memory: 5148 grad_norm: 8.4813 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4016 loss: 1.4016 2022/06/28 15:38:35 - mmengine - INFO - Epoch(train) [76][960/3757] lr: 1.000e-03 eta: 6:51:03 time: 0.207 data_time: 0.006 memory: 5148 grad_norm: 9.2478 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1456 loss: 1.1456 2022/06/28 15:38:41 - mmengine - INFO - Epoch(train) [76][980/3757] lr: 1.000e-03 eta: 6:50:57 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 9.3733 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3934 loss: 1.3934 2022/06/28 15:38:46 - mmengine - INFO - Epoch(train) [76][1000/3757] lr: 1.000e-03 eta: 6:50:52 time: 0.317 data_time: 0.010 memory: 5148 grad_norm: 10.3040 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3781 loss: 1.3781 2022/06/28 15:38:51 - mmengine - INFO - Epoch(train) [76][1020/3757] lr: 1.000e-03 eta: 6:50:47 time: 0.468 data_time: 0.011 memory: 5148 grad_norm: 9.3215 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3159 loss: 1.3159 2022/06/28 15:38:56 - mmengine - INFO - Epoch(train) [76][1040/3757] lr: 1.000e-03 eta: 6:50:41 time: 0.210 data_time: 0.006 memory: 5148 grad_norm: 7.9737 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7112 loss: 1.7112 2022/06/28 15:39:02 - mmengine - INFO - Epoch(train) [76][1060/3757] lr: 1.000e-03 eta: 6:50:36 time: 0.254 data_time: 0.010 memory: 5148 grad_norm: 9.1052 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4740 loss: 1.4740 2022/06/28 15:39:07 - mmengine - INFO - Epoch(train) [76][1080/3757] lr: 1.000e-03 eta: 6:50:31 time: 0.615 data_time: 0.006 memory: 5148 grad_norm: 7.9537 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0410 loss: 1.0410 2022/06/28 15:39:12 - mmengine - INFO - Epoch(train) [76][1100/3757] lr: 1.000e-03 eta: 6:50:25 time: 0.204 data_time: 0.017 memory: 5148 grad_norm: 7.8779 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4913 loss: 1.4913 2022/06/28 15:39:18 - mmengine - INFO - Epoch(train) [76][1120/3757] lr: 1.000e-03 eta: 6:50:20 time: 0.211 data_time: 0.011 memory: 5148 grad_norm: 7.7691 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4084 loss: 1.4084 2022/06/28 15:39:22 - mmengine - INFO - Epoch(train) [76][1140/3757] lr: 1.000e-03 eta: 6:50:15 time: 0.288 data_time: 0.007 memory: 5148 grad_norm: 9.0593 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4740 loss: 1.4740 2022/06/28 15:39:28 - mmengine - INFO - Epoch(train) [76][1160/3757] lr: 1.000e-03 eta: 6:50:10 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 8.6991 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0217 loss: 1.0217 2022/06/28 15:39:34 - mmengine - INFO - Epoch(train) [76][1180/3757] lr: 1.000e-03 eta: 6:50:04 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 8.6004 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1415 loss: 1.1415 2022/06/28 15:39:39 - mmengine - INFO - Epoch(train) [76][1200/3757] lr: 1.000e-03 eta: 6:49:59 time: 0.222 data_time: 0.006 memory: 5148 grad_norm: 8.7631 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9938 loss: 0.9938 2022/06/28 15:39:44 - mmengine - INFO - Epoch(train) [76][1220/3757] lr: 1.000e-03 eta: 6:49:54 time: 0.212 data_time: 0.010 memory: 5148 grad_norm: 8.8393 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1849 loss: 1.1849 2022/06/28 15:39:45 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 15:39:49 - mmengine - INFO - Epoch(train) [76][1240/3757] lr: 1.000e-03 eta: 6:49:48 time: 0.200 data_time: 0.012 memory: 5148 grad_norm: 8.1701 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0551 loss: 1.0551 2022/06/28 15:39:54 - mmengine - INFO - Epoch(train) [76][1260/3757] lr: 1.000e-03 eta: 6:49:43 time: 0.215 data_time: 0.006 memory: 5148 grad_norm: 9.5241 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0604 loss: 1.0604 2022/06/28 15:40:00 - mmengine - INFO - Epoch(train) [76][1280/3757] lr: 1.000e-03 eta: 6:49:38 time: 0.217 data_time: 0.008 memory: 5148 grad_norm: 8.4261 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3930 loss: 1.3930 2022/06/28 15:40:06 - mmengine - INFO - Epoch(train) [76][1300/3757] lr: 1.000e-03 eta: 6:49:33 time: 0.283 data_time: 0.012 memory: 5148 grad_norm: 8.3454 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2516 loss: 1.2516 2022/06/28 15:40:11 - mmengine - INFO - Epoch(train) [76][1320/3757] lr: 1.000e-03 eta: 6:49:27 time: 0.214 data_time: 0.006 memory: 5148 grad_norm: 8.7176 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1067 loss: 1.1067 2022/06/28 15:40:17 - mmengine - INFO - Epoch(train) [76][1340/3757] lr: 1.000e-03 eta: 6:49:22 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 9.3479 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3749 loss: 1.3749 2022/06/28 15:40:22 - mmengine - INFO - Epoch(train) [76][1360/3757] lr: 1.000e-03 eta: 6:49:17 time: 0.701 data_time: 0.011 memory: 5148 grad_norm: 8.3845 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3288 loss: 1.3288 2022/06/28 15:40:27 - mmengine - INFO - Epoch(train) [76][1380/3757] lr: 1.000e-03 eta: 6:49:11 time: 0.220 data_time: 0.008 memory: 5148 grad_norm: 8.6893 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0431 loss: 1.0431 2022/06/28 15:40:32 - mmengine - INFO - Epoch(train) [76][1400/3757] lr: 1.000e-03 eta: 6:49:06 time: 0.203 data_time: 0.009 memory: 5148 grad_norm: 9.6591 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3326 loss: 1.3326 2022/06/28 15:40:38 - mmengine - INFO - Epoch(train) [76][1420/3757] lr: 1.000e-03 eta: 6:49:01 time: 0.229 data_time: 0.008 memory: 5148 grad_norm: 8.3439 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1981 loss: 1.1981 2022/06/28 15:40:43 - mmengine - INFO - Epoch(train) [76][1440/3757] lr: 1.000e-03 eta: 6:48:55 time: 0.931 data_time: 0.007 memory: 5148 grad_norm: 10.0479 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3712 loss: 1.3712 2022/06/28 15:40:48 - mmengine - INFO - Epoch(train) [76][1460/3757] lr: 1.000e-03 eta: 6:48:50 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 9.0540 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5594 loss: 1.5594 2022/06/28 15:40:54 - mmengine - INFO - Epoch(train) [76][1480/3757] lr: 1.000e-03 eta: 6:48:45 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 9.7632 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5654 loss: 1.5654 2022/06/28 15:40:59 - mmengine - INFO - Epoch(train) [76][1500/3757] lr: 1.000e-03 eta: 6:48:40 time: 0.803 data_time: 0.010 memory: 5148 grad_norm: 9.8627 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3213 loss: 1.3213 2022/06/28 15:41:05 - mmengine - INFO - Epoch(train) [76][1520/3757] lr: 1.000e-03 eta: 6:48:34 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 8.5811 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2680 loss: 1.2680 2022/06/28 15:41:10 - mmengine - INFO - Epoch(train) [76][1540/3757] lr: 1.000e-03 eta: 6:48:29 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 8.4957 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9704 loss: 0.9704 2022/06/28 15:41:15 - mmengine - INFO - Epoch(train) [76][1560/3757] lr: 1.000e-03 eta: 6:48:23 time: 0.430 data_time: 0.010 memory: 5148 grad_norm: 10.2984 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1526 loss: 1.1526 2022/06/28 15:41:20 - mmengine - INFO - Epoch(train) [76][1580/3757] lr: 1.000e-03 eta: 6:48:18 time: 0.212 data_time: 0.011 memory: 5148 grad_norm: 8.7554 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1716 loss: 1.1716 2022/06/28 15:41:25 - mmengine - INFO - Epoch(train) [76][1600/3757] lr: 1.000e-03 eta: 6:48:13 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 7.6395 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9706 loss: 0.9706 2022/06/28 15:41:30 - mmengine - INFO - Epoch(train) [76][1620/3757] lr: 1.000e-03 eta: 6:48:07 time: 0.232 data_time: 0.014 memory: 5148 grad_norm: 9.6998 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2925 loss: 1.2925 2022/06/28 15:41:36 - mmengine - INFO - Epoch(train) [76][1640/3757] lr: 1.000e-03 eta: 6:48:02 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 7.3617 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1978 loss: 1.1978 2022/06/28 15:41:42 - mmengine - INFO - Epoch(train) [76][1660/3757] lr: 1.000e-03 eta: 6:47:57 time: 0.209 data_time: 0.010 memory: 5148 grad_norm: 10.1550 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2669 loss: 1.2669 2022/06/28 15:41:46 - mmengine - INFO - Epoch(train) [76][1680/3757] lr: 1.000e-03 eta: 6:47:51 time: 0.240 data_time: 0.011 memory: 5148 grad_norm: 9.0053 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.1310 loss: 1.1310 2022/06/28 15:41:52 - mmengine - INFO - Epoch(train) [76][1700/3757] lr: 1.000e-03 eta: 6:47:46 time: 0.214 data_time: 0.036 memory: 5148 grad_norm: 10.2049 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0103 loss: 1.0103 2022/06/28 15:41:57 - mmengine - INFO - Epoch(train) [76][1720/3757] lr: 1.000e-03 eta: 6:47:41 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 8.9607 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6165 loss: 1.6165 2022/06/28 15:42:02 - mmengine - INFO - Epoch(train) [76][1740/3757] lr: 1.000e-03 eta: 6:47:35 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 9.3128 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2390 loss: 1.2390 2022/06/28 15:42:07 - mmengine - INFO - Epoch(train) [76][1760/3757] lr: 1.000e-03 eta: 6:47:30 time: 0.208 data_time: 0.010 memory: 5148 grad_norm: 7.3462 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0656 loss: 1.0656 2022/06/28 15:42:12 - mmengine - INFO - Epoch(train) [76][1780/3757] lr: 1.000e-03 eta: 6:47:25 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 7.6707 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3888 loss: 1.3888 2022/06/28 15:42:17 - mmengine - INFO - Epoch(train) [76][1800/3757] lr: 1.000e-03 eta: 6:47:19 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 9.1152 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4875 loss: 1.4875 2022/06/28 15:42:23 - mmengine - INFO - Epoch(train) [76][1820/3757] lr: 1.000e-03 eta: 6:47:14 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 9.6532 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2749 loss: 1.2749 2022/06/28 15:42:28 - mmengine - INFO - Epoch(train) [76][1840/3757] lr: 1.000e-03 eta: 6:47:09 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 8.4622 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2683 loss: 1.2683 2022/06/28 15:42:33 - mmengine - INFO - Epoch(train) [76][1860/3757] lr: 1.000e-03 eta: 6:47:03 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 8.0323 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5361 loss: 1.5361 2022/06/28 15:42:38 - mmengine - INFO - Epoch(train) [76][1880/3757] lr: 1.000e-03 eta: 6:46:58 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 8.4764 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1708 loss: 1.1708 2022/06/28 15:42:44 - mmengine - INFO - Epoch(train) [76][1900/3757] lr: 1.000e-03 eta: 6:46:53 time: 0.220 data_time: 0.008 memory: 5148 grad_norm: 7.4769 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5994 loss: 1.5994 2022/06/28 15:42:49 - mmengine - INFO - Epoch(train) [76][1920/3757] lr: 1.000e-03 eta: 6:46:47 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 7.8630 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2943 loss: 1.2943 2022/06/28 15:42:54 - mmengine - INFO - Epoch(train) [76][1940/3757] lr: 1.000e-03 eta: 6:46:42 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 9.0916 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0497 loss: 1.0497 2022/06/28 15:43:00 - mmengine - INFO - Epoch(train) [76][1960/3757] lr: 1.000e-03 eta: 6:46:37 time: 0.215 data_time: 0.008 memory: 5148 grad_norm: 8.3217 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3620 loss: 1.3620 2022/06/28 15:43:05 - mmengine - INFO - Epoch(train) [76][1980/3757] lr: 1.000e-03 eta: 6:46:31 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 8.7329 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2148 loss: 1.2148 2022/06/28 15:43:10 - mmengine - INFO - Epoch(train) [76][2000/3757] lr: 1.000e-03 eta: 6:46:26 time: 0.223 data_time: 0.007 memory: 5148 grad_norm: 8.0841 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3293 loss: 1.3293 2022/06/28 15:43:16 - mmengine - INFO - Epoch(train) [76][2020/3757] lr: 1.000e-03 eta: 6:46:21 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 8.1836 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8977 loss: 0.8977 2022/06/28 15:43:20 - mmengine - INFO - Epoch(train) [76][2040/3757] lr: 1.000e-03 eta: 6:46:15 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 7.3773 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4545 loss: 1.4545 2022/06/28 15:43:26 - mmengine - INFO - Epoch(train) [76][2060/3757] lr: 1.000e-03 eta: 6:46:10 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 7.8523 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0959 loss: 1.0959 2022/06/28 15:43:31 - mmengine - INFO - Epoch(train) [76][2080/3757] lr: 1.000e-03 eta: 6:46:05 time: 0.210 data_time: 0.006 memory: 5148 grad_norm: 9.1886 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4963 loss: 1.4963 2022/06/28 15:43:36 - mmengine - INFO - Epoch(train) [76][2100/3757] lr: 1.000e-03 eta: 6:45:59 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 7.6458 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1932 loss: 1.1932 2022/06/28 15:43:42 - mmengine - INFO - Epoch(train) [76][2120/3757] lr: 1.000e-03 eta: 6:45:54 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 8.4476 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1285 loss: 1.1285 2022/06/28 15:43:47 - mmengine - INFO - Epoch(train) [76][2140/3757] lr: 1.000e-03 eta: 6:45:49 time: 0.431 data_time: 0.007 memory: 5148 grad_norm: 7.4061 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1480 loss: 1.1480 2022/06/28 15:43:52 - mmengine - INFO - Epoch(train) [76][2160/3757] lr: 1.000e-03 eta: 6:45:43 time: 0.225 data_time: 0.043 memory: 5148 grad_norm: 9.2947 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3895 loss: 1.3895 2022/06/28 15:43:58 - mmengine - INFO - Epoch(train) [76][2180/3757] lr: 1.000e-03 eta: 6:45:38 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 8.9899 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2220 loss: 1.2220 2022/06/28 15:44:03 - mmengine - INFO - Epoch(train) [76][2200/3757] lr: 1.000e-03 eta: 6:45:33 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 8.0127 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3825 loss: 1.3825 2022/06/28 15:44:08 - mmengine - INFO - Epoch(train) [76][2220/3757] lr: 1.000e-03 eta: 6:45:27 time: 0.218 data_time: 0.010 memory: 5148 grad_norm: 8.7247 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1893 loss: 1.1893 2022/06/28 15:44:09 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 15:44:13 - mmengine - INFO - Epoch(train) [76][2240/3757] lr: 1.000e-03 eta: 6:45:22 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 8.9364 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5512 loss: 1.5512 2022/06/28 15:44:19 - mmengine - INFO - Epoch(train) [76][2260/3757] lr: 1.000e-03 eta: 6:45:17 time: 1.238 data_time: 0.008 memory: 5148 grad_norm: 8.3878 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2856 loss: 1.2856 2022/06/28 15:44:24 - mmengine - INFO - Epoch(train) [76][2280/3757] lr: 1.000e-03 eta: 6:45:12 time: 0.205 data_time: 0.012 memory: 5148 grad_norm: 6.6601 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4714 loss: 1.4714 2022/06/28 15:44:29 - mmengine - INFO - Epoch(train) [76][2300/3757] lr: 1.000e-03 eta: 6:45:06 time: 0.198 data_time: 0.012 memory: 5148 grad_norm: 7.9973 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2715 loss: 1.2715 2022/06/28 15:44:34 - mmengine - INFO - Epoch(train) [76][2320/3757] lr: 1.000e-03 eta: 6:45:01 time: 0.791 data_time: 0.008 memory: 5148 grad_norm: 7.4886 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3765 loss: 1.3765 2022/06/28 15:44:39 - mmengine - INFO - Epoch(train) [76][2340/3757] lr: 1.000e-03 eta: 6:44:55 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 8.9960 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4218 loss: 1.4218 2022/06/28 15:44:45 - mmengine - INFO - Epoch(train) [76][2360/3757] lr: 1.000e-03 eta: 6:44:50 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 9.5276 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6848 loss: 1.6848 2022/06/28 15:44:50 - mmengine - INFO - Epoch(train) [76][2380/3757] lr: 1.000e-03 eta: 6:44:45 time: 0.771 data_time: 0.010 memory: 5148 grad_norm: 9.2007 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4170 loss: 1.4170 2022/06/28 15:44:55 - mmengine - INFO - Epoch(train) [76][2400/3757] lr: 1.000e-03 eta: 6:44:39 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 8.2999 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3199 loss: 1.3199 2022/06/28 15:45:00 - mmengine - INFO - Epoch(train) [76][2420/3757] lr: 1.000e-03 eta: 6:44:34 time: 0.206 data_time: 0.026 memory: 5148 grad_norm: 9.8273 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1867 loss: 1.1867 2022/06/28 15:45:05 - mmengine - INFO - Epoch(train) [76][2440/3757] lr: 1.000e-03 eta: 6:44:29 time: 0.242 data_time: 0.011 memory: 5148 grad_norm: 6.1929 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9964 loss: 0.9964 2022/06/28 15:45:11 - mmengine - INFO - Epoch(train) [76][2460/3757] lr: 1.000e-03 eta: 6:44:23 time: 0.297 data_time: 0.007 memory: 5148 grad_norm: 7.6099 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2499 loss: 1.2499 2022/06/28 15:45:15 - mmengine - INFO - Epoch(train) [76][2480/3757] lr: 1.000e-03 eta: 6:44:18 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 9.4359 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2411 loss: 1.2411 2022/06/28 15:45:21 - mmengine - INFO - Epoch(train) [76][2500/3757] lr: 1.000e-03 eta: 6:44:13 time: 0.204 data_time: 0.009 memory: 5148 grad_norm: 8.5548 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6264 loss: 1.6264 2022/06/28 15:45:26 - mmengine - INFO - Epoch(train) [76][2520/3757] lr: 1.000e-03 eta: 6:44:07 time: 0.203 data_time: 0.013 memory: 5148 grad_norm: 9.0450 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3776 loss: 1.3776 2022/06/28 15:45:31 - mmengine - INFO - Epoch(train) [76][2540/3757] lr: 1.000e-03 eta: 6:44:02 time: 0.201 data_time: 0.012 memory: 5148 grad_norm: 8.5182 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2923 loss: 1.2923 2022/06/28 15:45:36 - mmengine - INFO - Epoch(train) [76][2560/3757] lr: 1.000e-03 eta: 6:43:57 time: 0.225 data_time: 0.007 memory: 5148 grad_norm: 8.3800 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2183 loss: 1.2183 2022/06/28 15:45:42 - mmengine - INFO - Epoch(train) [76][2580/3757] lr: 1.000e-03 eta: 6:43:51 time: 0.209 data_time: 0.026 memory: 5148 grad_norm: 8.9226 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3392 loss: 1.3392 2022/06/28 15:45:47 - mmengine - INFO - Epoch(train) [76][2600/3757] lr: 1.000e-03 eta: 6:43:46 time: 0.206 data_time: 0.023 memory: 5148 grad_norm: 8.5673 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1850 loss: 1.1850 2022/06/28 15:45:52 - mmengine - INFO - Epoch(train) [76][2620/3757] lr: 1.000e-03 eta: 6:43:41 time: 0.223 data_time: 0.007 memory: 5148 grad_norm: 9.2795 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0697 loss: 1.0697 2022/06/28 15:45:58 - mmengine - INFO - Epoch(train) [76][2640/3757] lr: 1.000e-03 eta: 6:43:35 time: 0.214 data_time: 0.012 memory: 5148 grad_norm: 7.5297 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1441 loss: 1.1441 2022/06/28 15:46:03 - mmengine - INFO - Epoch(train) [76][2660/3757] lr: 1.000e-03 eta: 6:43:30 time: 0.201 data_time: 0.024 memory: 5148 grad_norm: 8.6738 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9452 loss: 0.9452 2022/06/28 15:46:08 - mmengine - INFO - Epoch(train) [76][2680/3757] lr: 1.000e-03 eta: 6:43:25 time: 0.306 data_time: 0.007 memory: 5148 grad_norm: 7.4373 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1227 loss: 1.1227 2022/06/28 15:46:14 - mmengine - INFO - Epoch(train) [76][2700/3757] lr: 1.000e-03 eta: 6:43:20 time: 0.202 data_time: 0.016 memory: 5148 grad_norm: 8.8095 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7598 loss: 1.7598 2022/06/28 15:46:20 - mmengine - INFO - Epoch(train) [76][2720/3757] lr: 1.000e-03 eta: 6:43:14 time: 0.205 data_time: 0.017 memory: 5148 grad_norm: 8.8026 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.5603 loss: 1.5603 2022/06/28 15:46:25 - mmengine - INFO - Epoch(train) [76][2740/3757] lr: 1.000e-03 eta: 6:43:09 time: 0.656 data_time: 0.007 memory: 5148 grad_norm: 8.4863 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3663 loss: 1.3663 2022/06/28 15:46:30 - mmengine - INFO - Epoch(train) [76][2760/3757] lr: 1.000e-03 eta: 6:43:04 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 9.0378 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2966 loss: 1.2966 2022/06/28 15:46:35 - mmengine - INFO - Epoch(train) [76][2780/3757] lr: 1.000e-03 eta: 6:42:58 time: 0.205 data_time: 0.016 memory: 5148 grad_norm: 8.2855 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2263 loss: 1.2263 2022/06/28 15:46:41 - mmengine - INFO - Epoch(train) [76][2800/3757] lr: 1.000e-03 eta: 6:42:53 time: 0.736 data_time: 0.007 memory: 5148 grad_norm: 9.1136 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4215 loss: 1.4215 2022/06/28 15:46:46 - mmengine - INFO - Epoch(train) [76][2820/3757] lr: 1.000e-03 eta: 6:42:48 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 8.9986 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2738 loss: 1.2738 2022/06/28 15:46:51 - mmengine - INFO - Epoch(train) [76][2840/3757] lr: 1.000e-03 eta: 6:42:42 time: 0.201 data_time: 0.023 memory: 5148 grad_norm: 9.9965 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5992 loss: 1.5992 2022/06/28 15:46:57 - mmengine - INFO - Epoch(train) [76][2860/3757] lr: 1.000e-03 eta: 6:42:37 time: 0.446 data_time: 0.007 memory: 5148 grad_norm: 9.2323 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1042 loss: 1.1042 2022/06/28 15:47:02 - mmengine - INFO - Epoch(train) [76][2880/3757] lr: 1.000e-03 eta: 6:42:32 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 8.6293 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4667 loss: 1.4667 2022/06/28 15:47:07 - mmengine - INFO - Epoch(train) [76][2900/3757] lr: 1.000e-03 eta: 6:42:26 time: 0.202 data_time: 0.025 memory: 5148 grad_norm: 7.5171 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7998 loss: 0.7998 2022/06/28 15:47:13 - mmengine - INFO - Epoch(train) [76][2920/3757] lr: 1.000e-03 eta: 6:42:21 time: 0.687 data_time: 0.007 memory: 5148 grad_norm: 8.8907 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2540 loss: 1.2540 2022/06/28 15:47:18 - mmengine - INFO - Epoch(train) [76][2940/3757] lr: 1.000e-03 eta: 6:42:16 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 7.4148 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3329 loss: 1.3329 2022/06/28 15:47:23 - mmengine - INFO - Epoch(train) [76][2960/3757] lr: 1.000e-03 eta: 6:42:11 time: 0.227 data_time: 0.028 memory: 5148 grad_norm: 8.8068 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3580 loss: 1.3580 2022/06/28 15:47:29 - mmengine - INFO - Epoch(train) [76][2980/3757] lr: 1.000e-03 eta: 6:42:05 time: 0.395 data_time: 0.007 memory: 5148 grad_norm: 8.5605 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1657 loss: 1.1657 2022/06/28 15:47:34 - mmengine - INFO - Epoch(train) [76][3000/3757] lr: 1.000e-03 eta: 6:42:00 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 9.6640 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8095 loss: 1.8095 2022/06/28 15:47:39 - mmengine - INFO - Epoch(train) [76][3020/3757] lr: 1.000e-03 eta: 6:41:55 time: 0.207 data_time: 0.025 memory: 5148 grad_norm: 7.5313 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2460 loss: 1.2460 2022/06/28 15:47:44 - mmengine - INFO - Epoch(train) [76][3040/3757] lr: 1.000e-03 eta: 6:41:49 time: 0.214 data_time: 0.011 memory: 5148 grad_norm: 8.6978 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2360 loss: 1.2360 2022/06/28 15:47:50 - mmengine - INFO - Epoch(train) [76][3060/3757] lr: 1.000e-03 eta: 6:41:44 time: 0.216 data_time: 0.013 memory: 5148 grad_norm: 8.4001 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4505 loss: 1.4505 2022/06/28 15:47:55 - mmengine - INFO - Epoch(train) [76][3080/3757] lr: 1.000e-03 eta: 6:41:39 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 10.3104 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2959 loss: 1.2959 2022/06/28 15:48:00 - mmengine - INFO - Epoch(train) [76][3100/3757] lr: 1.000e-03 eta: 6:41:33 time: 0.218 data_time: 0.015 memory: 5148 grad_norm: 9.3662 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4854 loss: 1.4854 2022/06/28 15:48:06 - mmengine - INFO - Epoch(train) [76][3120/3757] lr: 1.000e-03 eta: 6:41:28 time: 0.202 data_time: 0.017 memory: 5148 grad_norm: 9.4834 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3924 loss: 1.3924 2022/06/28 15:48:10 - mmengine - INFO - Epoch(train) [76][3140/3757] lr: 1.000e-03 eta: 6:41:23 time: 0.250 data_time: 0.008 memory: 5148 grad_norm: 10.0753 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4203 loss: 1.4203 2022/06/28 15:48:16 - mmengine - INFO - Epoch(train) [76][3160/3757] lr: 1.000e-03 eta: 6:41:18 time: 0.232 data_time: 0.010 memory: 5148 grad_norm: 8.5783 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4114 loss: 1.4114 2022/06/28 15:48:22 - mmengine - INFO - Epoch(train) [76][3180/3757] lr: 1.000e-03 eta: 6:41:12 time: 0.235 data_time: 0.017 memory: 5148 grad_norm: 8.2657 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2804 loss: 1.2804 2022/06/28 15:48:26 - mmengine - INFO - Epoch(train) [76][3200/3757] lr: 1.000e-03 eta: 6:41:07 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 10.3638 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0149 loss: 1.0149 2022/06/28 15:48:32 - mmengine - INFO - Epoch(train) [76][3220/3757] lr: 1.000e-03 eta: 6:41:02 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 8.6030 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0267 loss: 1.0267 2022/06/28 15:48:34 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 15:48:37 - mmengine - INFO - Epoch(train) [76][3240/3757] lr: 1.000e-03 eta: 6:40:56 time: 0.208 data_time: 0.011 memory: 5148 grad_norm: 9.0441 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4546 loss: 1.4546 2022/06/28 15:48:42 - mmengine - INFO - Epoch(train) [76][3260/3757] lr: 1.000e-03 eta: 6:40:51 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 9.7466 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0139 loss: 1.0139 2022/06/28 15:48:47 - mmengine - INFO - Epoch(train) [76][3280/3757] lr: 1.000e-03 eta: 6:40:46 time: 0.798 data_time: 0.014 memory: 5148 grad_norm: 7.2916 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2683 loss: 1.2683 2022/06/28 15:48:53 - mmengine - INFO - Epoch(train) [76][3300/3757] lr: 1.000e-03 eta: 6:40:40 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 8.9833 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1419 loss: 1.1419 2022/06/28 15:48:58 - mmengine - INFO - Epoch(train) [76][3320/3757] lr: 1.000e-03 eta: 6:40:35 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 10.4690 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4748 loss: 1.4748 2022/06/28 15:49:04 - mmengine - INFO - Epoch(train) [76][3340/3757] lr: 1.000e-03 eta: 6:40:30 time: 0.680 data_time: 0.007 memory: 5148 grad_norm: 8.5781 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2299 loss: 1.2299 2022/06/28 15:49:08 - mmengine - INFO - Epoch(train) [76][3360/3757] lr: 1.000e-03 eta: 6:40:24 time: 0.199 data_time: 0.019 memory: 5148 grad_norm: 9.2770 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8092 loss: 1.8092 2022/06/28 15:49:13 - mmengine - INFO - Epoch(train) [76][3380/3757] lr: 1.000e-03 eta: 6:40:19 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 9.1121 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5579 loss: 1.5579 2022/06/28 15:49:20 - mmengine - INFO - Epoch(train) [76][3400/3757] lr: 1.000e-03 eta: 6:40:14 time: 1.484 data_time: 0.007 memory: 5148 grad_norm: 8.5391 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9492 loss: 0.9492 2022/06/28 15:49:24 - mmengine - INFO - Epoch(train) [76][3420/3757] lr: 1.000e-03 eta: 6:40:08 time: 0.205 data_time: 0.019 memory: 5148 grad_norm: 7.2457 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1505 loss: 1.1505 2022/06/28 15:49:29 - mmengine - INFO - Epoch(train) [76][3440/3757] lr: 1.000e-03 eta: 6:40:03 time: 0.202 data_time: 0.013 memory: 5148 grad_norm: 9.9077 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1892 loss: 1.1892 2022/06/28 15:49:35 - mmengine - INFO - Epoch(train) [76][3460/3757] lr: 1.000e-03 eta: 6:39:58 time: 0.845 data_time: 0.010 memory: 5148 grad_norm: 10.6289 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.1907 loss: 1.1907 2022/06/28 15:49:40 - mmengine - INFO - Epoch(train) [76][3480/3757] lr: 1.000e-03 eta: 6:39:52 time: 0.215 data_time: 0.018 memory: 5148 grad_norm: 9.5998 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3288 loss: 1.3288 2022/06/28 15:49:45 - mmengine - INFO - Epoch(train) [76][3500/3757] lr: 1.000e-03 eta: 6:39:47 time: 0.210 data_time: 0.013 memory: 5148 grad_norm: 8.4451 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1693 loss: 1.1693 2022/06/28 15:49:51 - mmengine - INFO - Epoch(train) [76][3520/3757] lr: 1.000e-03 eta: 6:39:42 time: 1.023 data_time: 0.006 memory: 5148 grad_norm: 8.3312 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1665 loss: 1.1665 2022/06/28 15:49:56 - mmengine - INFO - Epoch(train) [76][3540/3757] lr: 1.000e-03 eta: 6:39:36 time: 0.204 data_time: 0.016 memory: 5148 grad_norm: 7.9432 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2445 loss: 1.2445 2022/06/28 15:50:01 - mmengine - INFO - Epoch(train) [76][3560/3757] lr: 1.000e-03 eta: 6:39:31 time: 0.197 data_time: 0.013 memory: 5148 grad_norm: 8.1786 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6412 loss: 1.6412 2022/06/28 15:50:07 - mmengine - INFO - Epoch(train) [76][3580/3757] lr: 1.000e-03 eta: 6:39:26 time: 0.850 data_time: 0.007 memory: 5148 grad_norm: 8.8284 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3984 loss: 1.3984 2022/06/28 15:50:12 - mmengine - INFO - Epoch(train) [76][3600/3757] lr: 1.000e-03 eta: 6:39:20 time: 0.245 data_time: 0.015 memory: 5148 grad_norm: 7.9377 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6620 loss: 1.6620 2022/06/28 15:50:17 - mmengine - INFO - Epoch(train) [76][3620/3757] lr: 1.000e-03 eta: 6:39:15 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 8.8756 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2760 loss: 1.2760 2022/06/28 15:50:22 - mmengine - INFO - Epoch(train) [76][3640/3757] lr: 1.000e-03 eta: 6:39:10 time: 0.550 data_time: 0.008 memory: 5148 grad_norm: 9.4166 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1787 loss: 1.1787 2022/06/28 15:50:27 - mmengine - INFO - Epoch(train) [76][3660/3757] lr: 1.000e-03 eta: 6:39:04 time: 0.204 data_time: 0.013 memory: 5148 grad_norm: 9.4885 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1296 loss: 1.1296 2022/06/28 15:50:33 - mmengine - INFO - Epoch(train) [76][3680/3757] lr: 1.000e-03 eta: 6:38:59 time: 0.572 data_time: 0.008 memory: 5148 grad_norm: 9.6637 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1605 loss: 1.1605 2022/06/28 15:50:37 - mmengine - INFO - Epoch(train) [76][3700/3757] lr: 1.000e-03 eta: 6:38:54 time: 0.297 data_time: 0.011 memory: 5148 grad_norm: 8.3923 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.9089 loss: 0.9089 2022/06/28 15:50:42 - mmengine - INFO - Epoch(train) [76][3720/3757] lr: 1.000e-03 eta: 6:38:48 time: 0.208 data_time: 0.009 memory: 5148 grad_norm: 8.4835 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5806 loss: 1.5806 2022/06/28 15:50:48 - mmengine - INFO - Epoch(train) [76][3740/3757] lr: 1.000e-03 eta: 6:38:43 time: 0.580 data_time: 0.007 memory: 5148 grad_norm: 8.8397 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6302 loss: 1.6302 2022/06/28 15:50:52 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 15:50:58 - mmengine - INFO - Epoch(val) [76][20/310] eta: 0:01:03 time: 0.082 data_time: 0.011 memory: 5148 2022/06/28 15:51:03 - mmengine - INFO - Epoch(val) [76][40/310] eta: 0:01:00 time: 0.081 data_time: 0.009 memory: 1367 2022/06/28 15:51:09 - mmengine - INFO - Epoch(val) [76][60/310] eta: 0:00:53 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 15:51:13 - mmengine - INFO - Epoch(val) [76][80/310] eta: 0:00:57 time: 0.273 data_time: 0.201 memory: 1367 2022/06/28 15:51:19 - mmengine - INFO - Epoch(val) [76][100/310] eta: 0:00:49 time: 0.081 data_time: 0.005 memory: 1367 2022/06/28 15:51:24 - mmengine - INFO - Epoch(val) [76][120/310] eta: 0:00:43 time: 0.080 data_time: 0.008 memory: 1367 2022/06/28 15:51:30 - mmengine - INFO - Epoch(val) [76][140/310] eta: 0:00:49 time: 0.629 data_time: 0.559 memory: 1367 2022/06/28 15:51:35 - mmengine - INFO - Epoch(val) [76][160/310] eta: 0:00:33 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 15:51:41 - mmengine - INFO - Epoch(val) [76][180/310] eta: 0:00:47 time: 1.463 data_time: 1.386 memory: 1367 2022/06/28 15:51:45 - mmengine - INFO - Epoch(val) [76][200/310] eta: 0:00:23 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 15:51:51 - mmengine - INFO - Epoch(val) [76][220/310] eta: 0:00:32 time: 1.013 data_time: 0.936 memory: 1367 2022/06/28 15:51:55 - mmengine - INFO - Epoch(val) [76][240/310] eta: 0:00:14 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 15:52:01 - mmengine - INFO - Epoch(val) [76][260/310] eta: 0:00:17 time: 0.884 data_time: 0.801 memory: 1367 2022/06/28 15:52:06 - mmengine - INFO - Epoch(val) [76][280/310] eta: 0:00:07 time: 0.083 data_time: 0.005 memory: 1367 2022/06/28 15:52:12 - mmengine - INFO - Epoch(val) [76][300/310] eta: 0:00:03 time: 1.143 data_time: 1.071 memory: 1367 2022/06/28 15:52:15 - mmengine - INFO - Epoch(val) [76][310/310] acc/top1: 0.6503 acc/top5: 0.8592 acc/mean1: 0.6501 2022/06/28 15:52:23 - mmengine - INFO - Epoch(train) [77][20/3757] lr: 1.000e-03 eta: 6:38:33 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 7.7124 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1893 loss: 1.1893 2022/06/28 15:52:29 - mmengine - INFO - Epoch(train) [77][40/3757] lr: 1.000e-03 eta: 6:38:28 time: 0.228 data_time: 0.008 memory: 5148 grad_norm: 7.6088 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0598 loss: 1.0598 2022/06/28 15:52:33 - mmengine - INFO - Epoch(train) [77][60/3757] lr: 1.000e-03 eta: 6:38:23 time: 0.193 data_time: 0.011 memory: 5148 grad_norm: 9.4241 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2938 loss: 1.2938 2022/06/28 15:52:39 - mmengine - INFO - Epoch(train) [77][80/3757] lr: 1.000e-03 eta: 6:38:17 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 7.2250 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1857 loss: 1.1857 2022/06/28 15:52:45 - mmengine - INFO - Epoch(train) [77][100/3757] lr: 1.000e-03 eta: 6:38:12 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 10.5429 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.2751 loss: 1.2751 2022/06/28 15:52:50 - mmengine - INFO - Epoch(train) [77][120/3757] lr: 1.000e-03 eta: 6:38:07 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 8.1751 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2778 loss: 1.2778 2022/06/28 15:52:56 - mmengine - INFO - Epoch(train) [77][140/3757] lr: 1.000e-03 eta: 6:38:02 time: 0.193 data_time: 0.008 memory: 5148 grad_norm: 8.2447 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0686 loss: 1.0686 2022/06/28 15:53:02 - mmengine - INFO - Epoch(train) [77][160/3757] lr: 1.000e-03 eta: 6:37:57 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 9.9184 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1012 loss: 1.1012 2022/06/28 15:53:06 - mmengine - INFO - Epoch(train) [77][180/3757] lr: 1.000e-03 eta: 6:37:51 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 7.9605 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8220 loss: 0.8220 2022/06/28 15:53:13 - mmengine - INFO - Epoch(train) [77][200/3757] lr: 1.000e-03 eta: 6:37:46 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 9.8392 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5820 loss: 1.5820 2022/06/28 15:53:17 - mmengine - INFO - Epoch(train) [77][220/3757] lr: 1.000e-03 eta: 6:37:41 time: 0.199 data_time: 0.009 memory: 5148 grad_norm: 8.8493 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2215 loss: 1.2215 2022/06/28 15:53:22 - mmengine - INFO - Epoch(train) [77][240/3757] lr: 1.000e-03 eta: 6:37:35 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 8.0451 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1597 loss: 1.1597 2022/06/28 15:53:28 - mmengine - INFO - Epoch(train) [77][260/3757] lr: 1.000e-03 eta: 6:37:30 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 8.3570 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5589 loss: 1.5589 2022/06/28 15:53:33 - mmengine - INFO - Epoch(train) [77][280/3757] lr: 1.000e-03 eta: 6:37:25 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 8.3407 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0663 loss: 1.0663 2022/06/28 15:53:38 - mmengine - INFO - Epoch(train) [77][300/3757] lr: 1.000e-03 eta: 6:37:19 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 7.7327 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0044 loss: 1.0044 2022/06/28 15:53:44 - mmengine - INFO - Epoch(train) [77][320/3757] lr: 1.000e-03 eta: 6:37:14 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 8.7653 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5300 loss: 1.5300 2022/06/28 15:53:49 - mmengine - INFO - Epoch(train) [77][340/3757] lr: 1.000e-03 eta: 6:37:09 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 9.2373 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9400 loss: 0.9400 2022/06/28 15:53:54 - mmengine - INFO - Epoch(train) [77][360/3757] lr: 1.000e-03 eta: 6:37:03 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 7.7677 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8786 loss: 0.8786 2022/06/28 15:54:00 - mmengine - INFO - Epoch(train) [77][380/3757] lr: 1.000e-03 eta: 6:36:58 time: 0.214 data_time: 0.008 memory: 5148 grad_norm: 8.9401 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0126 loss: 1.0126 2022/06/28 15:54:05 - mmengine - INFO - Epoch(train) [77][400/3757] lr: 1.000e-03 eta: 6:36:53 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 8.9089 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2708 loss: 1.2708 2022/06/28 15:54:10 - mmengine - INFO - Epoch(train) [77][420/3757] lr: 1.000e-03 eta: 6:36:47 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 9.1663 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3207 loss: 1.3207 2022/06/28 15:54:16 - mmengine - INFO - Epoch(train) [77][440/3757] lr: 1.000e-03 eta: 6:36:42 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 8.8966 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9429 loss: 0.9429 2022/06/28 15:54:21 - mmengine - INFO - Epoch(train) [77][460/3757] lr: 1.000e-03 eta: 6:36:37 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 9.0908 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4776 loss: 1.4776 2022/06/28 15:54:23 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 15:54:26 - mmengine - INFO - Epoch(train) [77][480/3757] lr: 1.000e-03 eta: 6:36:31 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 11.3933 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1622 loss: 1.1622 2022/06/28 15:54:31 - mmengine - INFO - Epoch(train) [77][500/3757] lr: 1.000e-03 eta: 6:36:26 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 8.1779 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4288 loss: 1.4288 2022/06/28 15:54:37 - mmengine - INFO - Epoch(train) [77][520/3757] lr: 1.000e-03 eta: 6:36:21 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 8.7138 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2844 loss: 1.2844 2022/06/28 15:54:42 - mmengine - INFO - Epoch(train) [77][540/3757] lr: 1.000e-03 eta: 6:36:16 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 9.3621 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.2350 loss: 1.2350 2022/06/28 15:54:47 - mmengine - INFO - Epoch(train) [77][560/3757] lr: 1.000e-03 eta: 6:36:10 time: 0.220 data_time: 0.007 memory: 5148 grad_norm: 8.2696 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2446 loss: 1.2446 2022/06/28 15:54:53 - mmengine - INFO - Epoch(train) [77][580/3757] lr: 1.000e-03 eta: 6:36:05 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 7.5798 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0361 loss: 1.0361 2022/06/28 15:54:58 - mmengine - INFO - Epoch(train) [77][600/3757] lr: 1.000e-03 eta: 6:36:00 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 8.9038 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8745 loss: 0.8745 2022/06/28 15:55:03 - mmengine - INFO - Epoch(train) [77][620/3757] lr: 1.000e-03 eta: 6:35:54 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 8.4688 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4634 loss: 1.4634 2022/06/28 15:55:09 - mmengine - INFO - Epoch(train) [77][640/3757] lr: 1.000e-03 eta: 6:35:49 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 6.7102 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2478 loss: 1.2478 2022/06/28 15:55:14 - mmengine - INFO - Epoch(train) [77][660/3757] lr: 1.000e-03 eta: 6:35:44 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 8.5990 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5137 loss: 1.5137 2022/06/28 15:55:19 - mmengine - INFO - Epoch(train) [77][680/3757] lr: 1.000e-03 eta: 6:35:38 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 9.4352 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0237 loss: 1.0237 2022/06/28 15:55:25 - mmengine - INFO - Epoch(train) [77][700/3757] lr: 1.000e-03 eta: 6:35:33 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 8.3735 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3908 loss: 1.3908 2022/06/28 15:55:30 - mmengine - INFO - Epoch(train) [77][720/3757] lr: 1.000e-03 eta: 6:35:28 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 8.2089 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1916 loss: 1.1916 2022/06/28 15:55:35 - mmengine - INFO - Epoch(train) [77][740/3757] lr: 1.000e-03 eta: 6:35:22 time: 0.218 data_time: 0.007 memory: 5148 grad_norm: 8.5378 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3810 loss: 1.3810 2022/06/28 15:55:40 - mmengine - INFO - Epoch(train) [77][760/3757] lr: 1.000e-03 eta: 6:35:17 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 8.3626 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9990 loss: 0.9990 2022/06/28 15:55:45 - mmengine - INFO - Epoch(train) [77][780/3757] lr: 1.000e-03 eta: 6:35:12 time: 0.222 data_time: 0.007 memory: 5148 grad_norm: 8.4881 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0804 loss: 1.0804 2022/06/28 15:55:51 - mmengine - INFO - Epoch(train) [77][800/3757] lr: 1.000e-03 eta: 6:35:07 time: 0.294 data_time: 0.016 memory: 5148 grad_norm: 8.4675 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4075 loss: 1.4075 2022/06/28 15:55:56 - mmengine - INFO - Epoch(train) [77][820/3757] lr: 1.000e-03 eta: 6:35:01 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 8.9215 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1483 loss: 1.1483 2022/06/28 15:56:02 - mmengine - INFO - Epoch(train) [77][840/3757] lr: 1.000e-03 eta: 6:34:56 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 9.6842 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0438 loss: 1.0438 2022/06/28 15:56:06 - mmengine - INFO - Epoch(train) [77][860/3757] lr: 1.000e-03 eta: 6:34:50 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 9.4304 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2384 loss: 1.2384 2022/06/28 15:56:12 - mmengine - INFO - Epoch(train) [77][880/3757] lr: 1.000e-03 eta: 6:34:45 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 8.6551 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3355 loss: 1.3355 2022/06/28 15:56:17 - mmengine - INFO - Epoch(train) [77][900/3757] lr: 1.000e-03 eta: 6:34:40 time: 0.219 data_time: 0.012 memory: 5148 grad_norm: 8.2494 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4078 loss: 1.4078 2022/06/28 15:56:22 - mmengine - INFO - Epoch(train) [77][920/3757] lr: 1.000e-03 eta: 6:34:34 time: 0.320 data_time: 0.007 memory: 5148 grad_norm: 9.2857 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2537 loss: 1.2537 2022/06/28 15:56:27 - mmengine - INFO - Epoch(train) [77][940/3757] lr: 1.000e-03 eta: 6:34:29 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.8632 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8754 loss: 0.8754 2022/06/28 15:56:33 - mmengine - INFO - Epoch(train) [77][960/3757] lr: 1.000e-03 eta: 6:34:24 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 7.8253 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2117 loss: 1.2117 2022/06/28 15:56:38 - mmengine - INFO - Epoch(train) [77][980/3757] lr: 1.000e-03 eta: 6:34:19 time: 0.217 data_time: 0.010 memory: 5148 grad_norm: 8.7965 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2060 loss: 1.2060 2022/06/28 15:56:44 - mmengine - INFO - Epoch(train) [77][1000/3757] lr: 1.000e-03 eta: 6:34:13 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 9.2802 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2838 loss: 1.2838 2022/06/28 15:56:49 - mmengine - INFO - Epoch(train) [77][1020/3757] lr: 1.000e-03 eta: 6:34:08 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 8.6152 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2821 loss: 1.2821 2022/06/28 15:56:55 - mmengine - INFO - Epoch(train) [77][1040/3757] lr: 1.000e-03 eta: 6:34:03 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 8.1472 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3348 loss: 1.3348 2022/06/28 15:57:00 - mmengine - INFO - Epoch(train) [77][1060/3757] lr: 1.000e-03 eta: 6:33:58 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 10.1491 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2737 loss: 1.2737 2022/06/28 15:57:05 - mmengine - INFO - Epoch(train) [77][1080/3757] lr: 1.000e-03 eta: 6:33:52 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 7.3081 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4291 loss: 1.4291 2022/06/28 15:57:11 - mmengine - INFO - Epoch(train) [77][1100/3757] lr: 1.000e-03 eta: 6:33:47 time: 0.259 data_time: 0.007 memory: 5148 grad_norm: 7.0166 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1173 loss: 1.1173 2022/06/28 15:57:16 - mmengine - INFO - Epoch(train) [77][1120/3757] lr: 1.000e-03 eta: 6:33:42 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 9.9355 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.5528 loss: 1.5528 2022/06/28 15:57:22 - mmengine - INFO - Epoch(train) [77][1140/3757] lr: 1.000e-03 eta: 6:33:36 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 8.1709 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0715 loss: 1.0715 2022/06/28 15:57:27 - mmengine - INFO - Epoch(train) [77][1160/3757] lr: 1.000e-03 eta: 6:33:31 time: 0.666 data_time: 0.010 memory: 5148 grad_norm: 8.6688 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4187 loss: 1.4187 2022/06/28 15:57:32 - mmengine - INFO - Epoch(train) [77][1180/3757] lr: 1.000e-03 eta: 6:33:26 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 10.2657 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1467 loss: 1.1467 2022/06/28 15:57:38 - mmengine - INFO - Epoch(train) [77][1200/3757] lr: 1.000e-03 eta: 6:33:20 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 7.5978 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0815 loss: 1.0815 2022/06/28 15:57:43 - mmengine - INFO - Epoch(train) [77][1220/3757] lr: 1.000e-03 eta: 6:33:15 time: 0.704 data_time: 0.012 memory: 5148 grad_norm: 8.1303 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0759 loss: 1.0759 2022/06/28 15:57:48 - mmengine - INFO - Epoch(train) [77][1240/3757] lr: 1.000e-03 eta: 6:33:10 time: 0.217 data_time: 0.010 memory: 5148 grad_norm: 7.2683 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2887 loss: 1.2887 2022/06/28 15:57:54 - mmengine - INFO - Epoch(train) [77][1260/3757] lr: 1.000e-03 eta: 6:33:05 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 7.8012 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4984 loss: 1.4984 2022/06/28 15:58:00 - mmengine - INFO - Epoch(train) [77][1280/3757] lr: 1.000e-03 eta: 6:32:59 time: 0.971 data_time: 0.011 memory: 5148 grad_norm: 8.3065 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0577 loss: 1.0577 2022/06/28 15:58:05 - mmengine - INFO - Epoch(train) [77][1300/3757] lr: 1.000e-03 eta: 6:32:54 time: 0.229 data_time: 0.013 memory: 5148 grad_norm: 7.8481 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0749 loss: 1.0749 2022/06/28 15:58:10 - mmengine - INFO - Epoch(train) [77][1320/3757] lr: 1.000e-03 eta: 6:32:49 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 9.1777 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4728 loss: 1.4728 2022/06/28 15:58:15 - mmengine - INFO - Epoch(train) [77][1340/3757] lr: 1.000e-03 eta: 6:32:43 time: 0.752 data_time: 0.011 memory: 5148 grad_norm: 9.0238 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4640 loss: 1.4640 2022/06/28 15:58:20 - mmengine - INFO - Epoch(train) [77][1360/3757] lr: 1.000e-03 eta: 6:32:38 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 9.8979 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0897 loss: 1.0897 2022/06/28 15:58:25 - mmengine - INFO - Epoch(train) [77][1380/3757] lr: 1.000e-03 eta: 6:32:33 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 8.8251 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5364 loss: 1.5364 2022/06/28 15:58:31 - mmengine - INFO - Epoch(train) [77][1400/3757] lr: 1.000e-03 eta: 6:32:27 time: 0.215 data_time: 0.008 memory: 5148 grad_norm: 8.5838 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9471 loss: 0.9471 2022/06/28 15:58:36 - mmengine - INFO - Epoch(train) [77][1420/3757] lr: 1.000e-03 eta: 6:32:22 time: 0.222 data_time: 0.007 memory: 5148 grad_norm: 10.0212 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3619 loss: 1.3619 2022/06/28 15:58:41 - mmengine - INFO - Epoch(train) [77][1440/3757] lr: 1.000e-03 eta: 6:32:17 time: 0.201 data_time: 0.016 memory: 5148 grad_norm: 9.0333 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8533 loss: 0.8533 2022/06/28 15:58:47 - mmengine - INFO - Epoch(train) [77][1460/3757] lr: 1.000e-03 eta: 6:32:11 time: 0.218 data_time: 0.010 memory: 5148 grad_norm: 10.1887 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9329 loss: 0.9329 2022/06/28 15:58:49 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 15:58:53 - mmengine - INFO - Epoch(train) [77][1480/3757] lr: 1.000e-03 eta: 6:32:06 time: 0.217 data_time: 0.014 memory: 5148 grad_norm: 8.6270 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3873 loss: 1.3873 2022/06/28 15:58:57 - mmengine - INFO - Epoch(train) [77][1500/3757] lr: 1.000e-03 eta: 6:32:01 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 8.0823 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3824 loss: 1.3824 2022/06/28 15:59:03 - mmengine - INFO - Epoch(train) [77][1520/3757] lr: 1.000e-03 eta: 6:31:56 time: 0.598 data_time: 0.007 memory: 5148 grad_norm: 9.2491 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2575 loss: 1.2575 2022/06/28 15:59:08 - mmengine - INFO - Epoch(train) [77][1540/3757] lr: 1.000e-03 eta: 6:31:50 time: 0.219 data_time: 0.042 memory: 5148 grad_norm: 9.8642 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2197 loss: 1.2197 2022/06/28 15:59:13 - mmengine - INFO - Epoch(train) [77][1560/3757] lr: 1.000e-03 eta: 6:31:45 time: 0.206 data_time: 0.006 memory: 5148 grad_norm: 9.3862 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1599 loss: 1.1599 2022/06/28 15:59:18 - mmengine - INFO - Epoch(train) [77][1580/3757] lr: 1.000e-03 eta: 6:31:39 time: 0.410 data_time: 0.007 memory: 5148 grad_norm: 8.4201 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4067 loss: 1.4067 2022/06/28 15:59:23 - mmengine - INFO - Epoch(train) [77][1600/3757] lr: 1.000e-03 eta: 6:31:34 time: 0.207 data_time: 0.020 memory: 5148 grad_norm: 9.0089 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1870 loss: 1.1870 2022/06/28 15:59:28 - mmengine - INFO - Epoch(train) [77][1620/3757] lr: 1.000e-03 eta: 6:31:29 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 7.0423 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4151 loss: 1.4151 2022/06/28 15:59:34 - mmengine - INFO - Epoch(train) [77][1640/3757] lr: 1.000e-03 eta: 6:31:23 time: 0.768 data_time: 0.006 memory: 5148 grad_norm: 9.8781 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4184 loss: 1.4184 2022/06/28 15:59:39 - mmengine - INFO - Epoch(train) [77][1660/3757] lr: 1.000e-03 eta: 6:31:18 time: 0.194 data_time: 0.013 memory: 5148 grad_norm: 8.8691 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3982 loss: 1.3982 2022/06/28 15:59:45 - mmengine - INFO - Epoch(train) [77][1680/3757] lr: 1.000e-03 eta: 6:31:13 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 9.7021 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5647 loss: 1.5647 2022/06/28 15:59:50 - mmengine - INFO - Epoch(train) [77][1700/3757] lr: 1.000e-03 eta: 6:31:07 time: 0.745 data_time: 0.011 memory: 5148 grad_norm: 9.2443 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9878 loss: 0.9878 2022/06/28 15:59:55 - mmengine - INFO - Epoch(train) [77][1720/3757] lr: 1.000e-03 eta: 6:31:02 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 10.4588 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4526 loss: 1.4526 2022/06/28 16:00:00 - mmengine - INFO - Epoch(train) [77][1740/3757] lr: 1.000e-03 eta: 6:30:57 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 7.4151 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2567 loss: 1.2567 2022/06/28 16:00:06 - mmengine - INFO - Epoch(train) [77][1760/3757] lr: 1.000e-03 eta: 6:30:52 time: 0.672 data_time: 0.007 memory: 5148 grad_norm: 8.1817 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0911 loss: 1.0911 2022/06/28 16:00:12 - mmengine - INFO - Epoch(train) [77][1780/3757] lr: 1.000e-03 eta: 6:30:46 time: 0.254 data_time: 0.008 memory: 5148 grad_norm: 8.0772 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2140 loss: 1.2140 2022/06/28 16:00:16 - mmengine - INFO - Epoch(train) [77][1800/3757] lr: 1.000e-03 eta: 6:30:41 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 7.9440 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2113 loss: 1.2113 2022/06/28 16:00:22 - mmengine - INFO - Epoch(train) [77][1820/3757] lr: 1.000e-03 eta: 6:30:36 time: 0.557 data_time: 0.125 memory: 5148 grad_norm: 8.5829 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4928 loss: 1.4928 2022/06/28 16:00:27 - mmengine - INFO - Epoch(train) [77][1840/3757] lr: 1.000e-03 eta: 6:30:30 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 7.6228 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3729 loss: 1.3729 2022/06/28 16:00:33 - mmengine - INFO - Epoch(train) [77][1860/3757] lr: 1.000e-03 eta: 6:30:25 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 9.0113 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4337 loss: 1.4337 2022/06/28 16:00:38 - mmengine - INFO - Epoch(train) [77][1880/3757] lr: 1.000e-03 eta: 6:30:20 time: 0.994 data_time: 0.015 memory: 5148 grad_norm: 8.2291 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0328 loss: 1.0328 2022/06/28 16:00:43 - mmengine - INFO - Epoch(train) [77][1900/3757] lr: 1.000e-03 eta: 6:30:14 time: 0.194 data_time: 0.016 memory: 5148 grad_norm: 7.8331 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8980 loss: 0.8980 2022/06/28 16:00:48 - mmengine - INFO - Epoch(train) [77][1920/3757] lr: 1.000e-03 eta: 6:30:09 time: 0.212 data_time: 0.008 memory: 5148 grad_norm: 6.7279 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2027 loss: 1.2027 2022/06/28 16:00:54 - mmengine - INFO - Epoch(train) [77][1940/3757] lr: 1.000e-03 eta: 6:30:04 time: 0.652 data_time: 0.010 memory: 5148 grad_norm: 8.4231 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1954 loss: 1.1954 2022/06/28 16:00:59 - mmengine - INFO - Epoch(train) [77][1960/3757] lr: 1.000e-03 eta: 6:29:59 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 8.5359 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0340 loss: 1.0340 2022/06/28 16:01:05 - mmengine - INFO - Epoch(train) [77][1980/3757] lr: 1.000e-03 eta: 6:29:53 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 8.6786 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5362 loss: 1.5362 2022/06/28 16:01:10 - mmengine - INFO - Epoch(train) [77][2000/3757] lr: 1.000e-03 eta: 6:29:48 time: 0.994 data_time: 0.014 memory: 5148 grad_norm: 8.3412 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9546 loss: 0.9546 2022/06/28 16:01:15 - mmengine - INFO - Epoch(train) [77][2020/3757] lr: 1.000e-03 eta: 6:29:43 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 9.0906 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3408 loss: 1.3408 2022/06/28 16:01:21 - mmengine - INFO - Epoch(train) [77][2040/3757] lr: 1.000e-03 eta: 6:29:37 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 8.1648 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1270 loss: 1.1270 2022/06/28 16:01:26 - mmengine - INFO - Epoch(train) [77][2060/3757] lr: 1.000e-03 eta: 6:29:32 time: 0.791 data_time: 0.007 memory: 5148 grad_norm: 10.3048 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3534 loss: 1.3534 2022/06/28 16:01:31 - mmengine - INFO - Epoch(train) [77][2080/3757] lr: 1.000e-03 eta: 6:29:27 time: 0.201 data_time: 0.020 memory: 5148 grad_norm: 9.5444 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0122 loss: 1.0122 2022/06/28 16:01:36 - mmengine - INFO - Epoch(train) [77][2100/3757] lr: 1.000e-03 eta: 6:29:21 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 8.3168 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2349 loss: 1.2349 2022/06/28 16:01:42 - mmengine - INFO - Epoch(train) [77][2120/3757] lr: 1.000e-03 eta: 6:29:16 time: 0.479 data_time: 0.010 memory: 5148 grad_norm: 9.4618 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3746 loss: 1.3746 2022/06/28 16:01:47 - mmengine - INFO - Epoch(train) [77][2140/3757] lr: 1.000e-03 eta: 6:29:11 time: 0.200 data_time: 0.017 memory: 5148 grad_norm: 10.0419 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5932 loss: 1.5932 2022/06/28 16:01:53 - mmengine - INFO - Epoch(train) [77][2160/3757] lr: 1.000e-03 eta: 6:29:06 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 7.8564 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1216 loss: 1.1216 2022/06/28 16:01:58 - mmengine - INFO - Epoch(train) [77][2180/3757] lr: 1.000e-03 eta: 6:29:00 time: 0.902 data_time: 0.010 memory: 5148 grad_norm: 8.6245 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6697 loss: 1.6697 2022/06/28 16:02:03 - mmengine - INFO - Epoch(train) [77][2200/3757] lr: 1.000e-03 eta: 6:28:55 time: 0.219 data_time: 0.036 memory: 5148 grad_norm: 9.0723 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6627 loss: 1.6627 2022/06/28 16:02:08 - mmengine - INFO - Epoch(train) [77][2220/3757] lr: 1.000e-03 eta: 6:28:50 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 10.2506 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8894 loss: 0.8894 2022/06/28 16:02:14 - mmengine - INFO - Epoch(train) [77][2240/3757] lr: 1.000e-03 eta: 6:28:44 time: 0.237 data_time: 0.010 memory: 5148 grad_norm: 10.2669 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7502 loss: 0.7502 2022/06/28 16:02:19 - mmengine - INFO - Epoch(train) [77][2260/3757] lr: 1.000e-03 eta: 6:28:39 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 9.4837 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1572 loss: 1.1572 2022/06/28 16:02:24 - mmengine - INFO - Epoch(train) [77][2280/3757] lr: 1.000e-03 eta: 6:28:34 time: 0.203 data_time: 0.012 memory: 5148 grad_norm: 9.6500 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.3423 loss: 1.3423 2022/06/28 16:02:29 - mmengine - INFO - Epoch(train) [77][2300/3757] lr: 1.000e-03 eta: 6:28:28 time: 0.221 data_time: 0.007 memory: 5148 grad_norm: 9.4391 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2016 loss: 1.2016 2022/06/28 16:02:35 - mmengine - INFO - Epoch(train) [77][2320/3757] lr: 1.000e-03 eta: 6:28:23 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 11.4863 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8186 loss: 0.8186 2022/06/28 16:02:39 - mmengine - INFO - Epoch(train) [77][2340/3757] lr: 1.000e-03 eta: 6:28:18 time: 0.200 data_time: 0.014 memory: 5148 grad_norm: 10.4600 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1730 loss: 1.1730 2022/06/28 16:02:45 - mmengine - INFO - Epoch(train) [77][2360/3757] lr: 1.000e-03 eta: 6:28:12 time: 0.210 data_time: 0.011 memory: 5148 grad_norm: 8.6138 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3856 loss: 1.3856 2022/06/28 16:02:51 - mmengine - INFO - Epoch(train) [77][2380/3757] lr: 1.000e-03 eta: 6:28:07 time: 0.204 data_time: 0.016 memory: 5148 grad_norm: 9.4954 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2727 loss: 1.2727 2022/06/28 16:02:56 - mmengine - INFO - Epoch(train) [77][2400/3757] lr: 1.000e-03 eta: 6:28:02 time: 0.200 data_time: 0.014 memory: 5148 grad_norm: 7.2453 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3334 loss: 1.3334 2022/06/28 16:03:01 - mmengine - INFO - Epoch(train) [77][2420/3757] lr: 1.000e-03 eta: 6:27:56 time: 0.215 data_time: 0.008 memory: 5148 grad_norm: 9.7876 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0531 loss: 1.0531 2022/06/28 16:03:06 - mmengine - INFO - Epoch(train) [77][2440/3757] lr: 1.000e-03 eta: 6:27:51 time: 0.200 data_time: 0.023 memory: 5148 grad_norm: 9.9291 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9066 loss: 0.9066 2022/06/28 16:03:11 - mmengine - INFO - Epoch(train) [77][2460/3757] lr: 1.000e-03 eta: 6:27:46 time: 0.199 data_time: 0.013 memory: 5148 grad_norm: 9.1562 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2438 loss: 1.2438 2022/06/28 16:03:14 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 16:03:17 - mmengine - INFO - Epoch(train) [77][2480/3757] lr: 1.000e-03 eta: 6:27:40 time: 0.207 data_time: 0.014 memory: 5148 grad_norm: 7.9598 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1199 loss: 1.1199 2022/06/28 16:03:22 - mmengine - INFO - Epoch(train) [77][2500/3757] lr: 1.000e-03 eta: 6:27:35 time: 0.208 data_time: 0.014 memory: 5148 grad_norm: 8.9295 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0663 loss: 1.0663 2022/06/28 16:03:27 - mmengine - INFO - Epoch(train) [77][2520/3757] lr: 1.000e-03 eta: 6:27:30 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 8.7083 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5631 loss: 1.5631 2022/06/28 16:03:33 - mmengine - INFO - Epoch(train) [77][2540/3757] lr: 1.000e-03 eta: 6:27:24 time: 0.237 data_time: 0.011 memory: 5148 grad_norm: 7.4795 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0625 loss: 1.0625 2022/06/28 16:03:38 - mmengine - INFO - Epoch(train) [77][2560/3757] lr: 1.000e-03 eta: 6:27:19 time: 0.224 data_time: 0.015 memory: 5148 grad_norm: 8.8099 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1812 loss: 1.1812 2022/06/28 16:03:43 - mmengine - INFO - Epoch(train) [77][2580/3757] lr: 1.000e-03 eta: 6:27:14 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 9.0026 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0728 loss: 1.0728 2022/06/28 16:03:49 - mmengine - INFO - Epoch(train) [77][2600/3757] lr: 1.000e-03 eta: 6:27:09 time: 1.186 data_time: 0.008 memory: 5148 grad_norm: 8.7225 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0921 loss: 1.0921 2022/06/28 16:03:54 - mmengine - INFO - Epoch(train) [77][2620/3757] lr: 1.000e-03 eta: 6:27:03 time: 0.208 data_time: 0.013 memory: 5148 grad_norm: 8.9253 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9236 loss: 0.9236 2022/06/28 16:03:59 - mmengine - INFO - Epoch(train) [77][2640/3757] lr: 1.000e-03 eta: 6:26:58 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 7.2644 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9853 loss: 0.9853 2022/06/28 16:04:04 - mmengine - INFO - Epoch(train) [77][2660/3757] lr: 1.000e-03 eta: 6:26:53 time: 0.974 data_time: 0.010 memory: 5148 grad_norm: 7.9117 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1371 loss: 1.1371 2022/06/28 16:04:09 - mmengine - INFO - Epoch(train) [77][2680/3757] lr: 1.000e-03 eta: 6:26:47 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 9.1278 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5947 loss: 1.5947 2022/06/28 16:04:15 - mmengine - INFO - Epoch(train) [77][2700/3757] lr: 1.000e-03 eta: 6:26:42 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 10.2630 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0847 loss: 1.0847 2022/06/28 16:04:20 - mmengine - INFO - Epoch(train) [77][2720/3757] lr: 1.000e-03 eta: 6:26:37 time: 0.995 data_time: 0.007 memory: 5148 grad_norm: 7.9286 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4186 loss: 1.4186 2022/06/28 16:04:25 - mmengine - INFO - Epoch(train) [77][2740/3757] lr: 1.000e-03 eta: 6:26:31 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 8.1594 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2851 loss: 1.2851 2022/06/28 16:04:31 - mmengine - INFO - Epoch(train) [77][2760/3757] lr: 1.000e-03 eta: 6:26:26 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 10.0512 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1746 loss: 1.1746 2022/06/28 16:04:36 - mmengine - INFO - Epoch(train) [77][2780/3757] lr: 1.000e-03 eta: 6:26:21 time: 0.879 data_time: 0.007 memory: 5148 grad_norm: 8.5906 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9887 loss: 0.9887 2022/06/28 16:04:41 - mmengine - INFO - Epoch(train) [77][2800/3757] lr: 1.000e-03 eta: 6:26:15 time: 0.203 data_time: 0.013 memory: 5148 grad_norm: 7.2166 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1593 loss: 1.1593 2022/06/28 16:04:46 - mmengine - INFO - Epoch(train) [77][2820/3757] lr: 1.000e-03 eta: 6:26:10 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 7.9312 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2434 loss: 1.2434 2022/06/28 16:04:52 - mmengine - INFO - Epoch(train) [77][2840/3757] lr: 1.000e-03 eta: 6:26:05 time: 0.299 data_time: 0.007 memory: 5148 grad_norm: 8.1263 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9625 loss: 0.9625 2022/06/28 16:04:57 - mmengine - INFO - Epoch(train) [77][2860/3757] lr: 1.000e-03 eta: 6:25:59 time: 0.201 data_time: 0.017 memory: 5148 grad_norm: 10.5953 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3354 loss: 1.3354 2022/06/28 16:05:03 - mmengine - INFO - Epoch(train) [77][2880/3757] lr: 1.000e-03 eta: 6:25:54 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 8.1568 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1486 loss: 1.1486 2022/06/28 16:05:08 - mmengine - INFO - Epoch(train) [77][2900/3757] lr: 1.000e-03 eta: 6:25:49 time: 0.895 data_time: 0.008 memory: 5148 grad_norm: 7.9585 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2643 loss: 1.2643 2022/06/28 16:05:13 - mmengine - INFO - Epoch(train) [77][2920/3757] lr: 1.000e-03 eta: 6:25:43 time: 0.201 data_time: 0.012 memory: 5148 grad_norm: 9.1086 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6389 loss: 1.6389 2022/06/28 16:05:18 - mmengine - INFO - Epoch(train) [77][2940/3757] lr: 1.000e-03 eta: 6:25:38 time: 0.209 data_time: 0.013 memory: 5148 grad_norm: 8.0377 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4484 loss: 1.4484 2022/06/28 16:05:23 - mmengine - INFO - Epoch(train) [77][2960/3757] lr: 1.000e-03 eta: 6:25:33 time: 0.887 data_time: 0.008 memory: 5148 grad_norm: 9.8663 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5390 loss: 1.5390 2022/06/28 16:05:28 - mmengine - INFO - Epoch(train) [77][2980/3757] lr: 1.000e-03 eta: 6:25:27 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 9.6392 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7256 loss: 1.7256 2022/06/28 16:05:34 - mmengine - INFO - Epoch(train) [77][3000/3757] lr: 1.000e-03 eta: 6:25:22 time: 0.224 data_time: 0.011 memory: 5148 grad_norm: 8.3886 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2333 loss: 1.2333 2022/06/28 16:05:39 - mmengine - INFO - Epoch(train) [77][3020/3757] lr: 1.000e-03 eta: 6:25:17 time: 0.573 data_time: 0.011 memory: 5148 grad_norm: 7.8914 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2581 loss: 1.2581 2022/06/28 16:05:44 - mmengine - INFO - Epoch(train) [77][3040/3757] lr: 1.000e-03 eta: 6:25:11 time: 0.202 data_time: 0.016 memory: 5148 grad_norm: 9.5471 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2585 loss: 1.2585 2022/06/28 16:05:49 - mmengine - INFO - Epoch(train) [77][3060/3757] lr: 1.000e-03 eta: 6:25:06 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 8.3936 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0368 loss: 1.0368 2022/06/28 16:05:55 - mmengine - INFO - Epoch(train) [77][3080/3757] lr: 1.000e-03 eta: 6:25:01 time: 1.088 data_time: 0.010 memory: 5148 grad_norm: 9.6223 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2174 loss: 1.2174 2022/06/28 16:06:00 - mmengine - INFO - Epoch(train) [77][3100/3757] lr: 1.000e-03 eta: 6:24:55 time: 0.205 data_time: 0.012 memory: 5148 grad_norm: 9.3035 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6619 loss: 1.6619 2022/06/28 16:06:06 - mmengine - INFO - Epoch(train) [77][3120/3757] lr: 1.000e-03 eta: 6:24:50 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 8.5690 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1754 loss: 1.1754 2022/06/28 16:06:11 - mmengine - INFO - Epoch(train) [77][3140/3757] lr: 1.000e-03 eta: 6:24:45 time: 0.910 data_time: 0.007 memory: 5148 grad_norm: 7.1971 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6435 loss: 1.6435 2022/06/28 16:06:16 - mmengine - INFO - Epoch(train) [77][3160/3757] lr: 1.000e-03 eta: 6:24:39 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 8.2891 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4117 loss: 1.4117 2022/06/28 16:06:21 - mmengine - INFO - Epoch(train) [77][3180/3757] lr: 1.000e-03 eta: 6:24:34 time: 0.204 data_time: 0.012 memory: 5148 grad_norm: 9.6652 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3096 loss: 1.3096 2022/06/28 16:06:27 - mmengine - INFO - Epoch(train) [77][3200/3757] lr: 1.000e-03 eta: 6:24:29 time: 0.566 data_time: 0.011 memory: 5148 grad_norm: 8.7656 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4004 loss: 1.4004 2022/06/28 16:06:31 - mmengine - INFO - Epoch(train) [77][3220/3757] lr: 1.000e-03 eta: 6:24:23 time: 0.202 data_time: 0.013 memory: 5148 grad_norm: 9.0121 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1829 loss: 1.1829 2022/06/28 16:06:37 - mmengine - INFO - Epoch(train) [77][3240/3757] lr: 1.000e-03 eta: 6:24:18 time: 0.214 data_time: 0.026 memory: 5148 grad_norm: 8.4055 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4394 loss: 1.4394 2022/06/28 16:06:41 - mmengine - INFO - Epoch(train) [77][3260/3757] lr: 1.000e-03 eta: 6:24:13 time: 0.956 data_time: 0.011 memory: 5148 grad_norm: 7.8823 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1963 loss: 1.1963 2022/06/28 16:06:46 - mmengine - INFO - Epoch(train) [77][3280/3757] lr: 1.000e-03 eta: 6:24:07 time: 0.202 data_time: 0.014 memory: 5148 grad_norm: 8.3757 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5918 loss: 1.5918 2022/06/28 16:06:51 - mmengine - INFO - Epoch(train) [77][3300/3757] lr: 1.000e-03 eta: 6:24:02 time: 0.201 data_time: 0.024 memory: 5148 grad_norm: 8.6021 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5103 loss: 1.5103 2022/06/28 16:06:57 - mmengine - INFO - Epoch(train) [77][3320/3757] lr: 1.000e-03 eta: 6:23:57 time: 0.211 data_time: 0.010 memory: 5148 grad_norm: 6.3043 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1491 loss: 1.1491 2022/06/28 16:07:02 - mmengine - INFO - Epoch(train) [77][3340/3757] lr: 1.000e-03 eta: 6:23:51 time: 0.210 data_time: 0.017 memory: 5148 grad_norm: 8.6358 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6641 loss: 1.6641 2022/06/28 16:07:07 - mmengine - INFO - Epoch(train) [77][3360/3757] lr: 1.000e-03 eta: 6:23:46 time: 0.231 data_time: 0.054 memory: 5148 grad_norm: 7.7714 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8342 loss: 0.8342 2022/06/28 16:07:13 - mmengine - INFO - Epoch(train) [77][3380/3757] lr: 1.000e-03 eta: 6:23:41 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 8.6748 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4117 loss: 1.4117 2022/06/28 16:07:18 - mmengine - INFO - Epoch(train) [77][3400/3757] lr: 1.000e-03 eta: 6:23:35 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 7.8892 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3000 loss: 1.3000 2022/06/28 16:07:23 - mmengine - INFO - Epoch(train) [77][3420/3757] lr: 1.000e-03 eta: 6:23:30 time: 0.201 data_time: 0.019 memory: 5148 grad_norm: 8.8362 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6392 loss: 1.6392 2022/06/28 16:07:29 - mmengine - INFO - Epoch(train) [77][3440/3757] lr: 1.000e-03 eta: 6:23:25 time: 0.239 data_time: 0.007 memory: 5148 grad_norm: 7.4184 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1131 loss: 1.1131 2022/06/28 16:07:34 - mmengine - INFO - Epoch(train) [77][3460/3757] lr: 1.000e-03 eta: 6:23:19 time: 0.206 data_time: 0.012 memory: 5148 grad_norm: 8.7971 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1680 loss: 1.1680 2022/06/28 16:07:37 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 16:07:40 - mmengine - INFO - Epoch(train) [77][3480/3757] lr: 1.000e-03 eta: 6:23:14 time: 0.222 data_time: 0.039 memory: 5148 grad_norm: 6.8659 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4343 loss: 1.4343 2022/06/28 16:07:45 - mmengine - INFO - Epoch(train) [77][3500/3757] lr: 1.000e-03 eta: 6:23:09 time: 0.428 data_time: 0.008 memory: 5148 grad_norm: 9.3122 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3700 loss: 1.3700 2022/06/28 16:07:50 - mmengine - INFO - Epoch(train) [77][3520/3757] lr: 1.000e-03 eta: 6:23:04 time: 0.211 data_time: 0.013 memory: 5148 grad_norm: 9.0071 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2961 loss: 1.2961 2022/06/28 16:07:56 - mmengine - INFO - Epoch(train) [77][3540/3757] lr: 1.000e-03 eta: 6:22:58 time: 0.204 data_time: 0.026 memory: 5148 grad_norm: 8.3112 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2723 loss: 1.2723 2022/06/28 16:08:00 - mmengine - INFO - Epoch(train) [77][3560/3757] lr: 1.000e-03 eta: 6:22:53 time: 0.223 data_time: 0.007 memory: 5148 grad_norm: 9.4399 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9921 loss: 0.9921 2022/06/28 16:08:06 - mmengine - INFO - Epoch(train) [77][3580/3757] lr: 1.000e-03 eta: 6:22:48 time: 0.220 data_time: 0.008 memory: 5148 grad_norm: 8.5451 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4826 loss: 1.4826 2022/06/28 16:08:12 - mmengine - INFO - Epoch(train) [77][3600/3757] lr: 1.000e-03 eta: 6:22:42 time: 0.202 data_time: 0.021 memory: 5148 grad_norm: 8.1404 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8536 loss: 0.8536 2022/06/28 16:08:17 - mmengine - INFO - Epoch(train) [77][3620/3757] lr: 1.000e-03 eta: 6:22:37 time: 0.214 data_time: 0.009 memory: 5148 grad_norm: 8.3130 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7263 loss: 1.7263 2022/06/28 16:08:23 - mmengine - INFO - Epoch(train) [77][3640/3757] lr: 1.000e-03 eta: 6:22:32 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 8.2501 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3427 loss: 1.3427 2022/06/28 16:08:28 - mmengine - INFO - Epoch(train) [77][3660/3757] lr: 1.000e-03 eta: 6:22:26 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 8.6896 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3795 loss: 1.3795 2022/06/28 16:08:33 - mmengine - INFO - Epoch(train) [77][3680/3757] lr: 1.000e-03 eta: 6:22:21 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 9.8156 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9682 loss: 0.9682 2022/06/28 16:08:38 - mmengine - INFO - Epoch(train) [77][3700/3757] lr: 1.000e-03 eta: 6:22:16 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 8.7122 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3852 loss: 1.3852 2022/06/28 16:08:44 - mmengine - INFO - Epoch(train) [77][3720/3757] lr: 1.000e-03 eta: 6:22:11 time: 0.216 data_time: 0.010 memory: 5148 grad_norm: 9.3180 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1211 loss: 1.1211 2022/06/28 16:08:49 - mmengine - INFO - Epoch(train) [77][3740/3757] lr: 1.000e-03 eta: 6:22:05 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 9.8902 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1615 loss: 1.1615 2022/06/28 16:08:52 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 16:08:59 - mmengine - INFO - Epoch(val) [77][20/310] eta: 0:01:12 time: 0.290 data_time: 0.203 memory: 5148 2022/06/28 16:09:03 - mmengine - INFO - Epoch(val) [77][40/310] eta: 0:01:00 time: 0.079 data_time: 0.006 memory: 1367 2022/06/28 16:09:09 - mmengine - INFO - Epoch(val) [77][60/310] eta: 0:00:55 time: 0.112 data_time: 0.034 memory: 1367 2022/06/28 16:09:14 - mmengine - INFO - Epoch(val) [77][80/310] eta: 0:00:57 time: 0.085 data_time: 0.008 memory: 1367 2022/06/28 16:09:20 - mmengine - INFO - Epoch(val) [77][100/310] eta: 0:00:56 time: 0.499 data_time: 0.424 memory: 1367 2022/06/28 16:09:24 - mmengine - INFO - Epoch(val) [77][120/310] eta: 0:00:43 time: 0.081 data_time: 0.009 memory: 1367 2022/06/28 16:09:31 - mmengine - INFO - Epoch(val) [77][140/310] eta: 0:00:59 time: 1.124 data_time: 1.049 memory: 1367 2022/06/28 16:09:35 - mmengine - INFO - Epoch(val) [77][160/310] eta: 0:00:32 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 16:09:41 - mmengine - INFO - Epoch(val) [77][180/310] eta: 0:00:48 time: 1.195 data_time: 1.122 memory: 1367 2022/06/28 16:09:46 - mmengine - INFO - Epoch(val) [77][200/310] eta: 0:00:25 time: 0.086 data_time: 0.008 memory: 1367 2022/06/28 16:09:51 - mmengine - INFO - Epoch(val) [77][220/310] eta: 0:00:32 time: 0.287 data_time: 0.216 memory: 1367 2022/06/28 16:09:56 - mmengine - INFO - Epoch(val) [77][240/310] eta: 0:00:15 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 16:10:02 - mmengine - INFO - Epoch(val) [77][260/310] eta: 0:00:18 time: 0.491 data_time: 0.420 memory: 1367 2022/06/28 16:10:07 - mmengine - INFO - Epoch(val) [77][280/310] eta: 0:00:06 time: 0.083 data_time: 0.005 memory: 1367 2022/06/28 16:10:12 - mmengine - INFO - Epoch(val) [77][300/310] eta: 0:00:03 time: 0.381 data_time: 0.310 memory: 1367 2022/06/28 16:10:15 - mmengine - INFO - Epoch(val) [77][310/310] acc/top1: 0.6505 acc/top5: 0.8566 acc/mean1: 0.6504 2022/06/28 16:10:23 - mmengine - INFO - Epoch(train) [78][20/3757] lr: 1.000e-03 eta: 6:21:55 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 8.8320 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1234 loss: 1.1234 2022/06/28 16:10:29 - mmengine - INFO - Epoch(train) [78][40/3757] lr: 1.000e-03 eta: 6:21:50 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 7.3748 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4361 loss: 1.4361 2022/06/28 16:10:34 - mmengine - INFO - Epoch(train) [78][60/3757] lr: 1.000e-03 eta: 6:21:45 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 9.7935 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.4244 loss: 1.4244 2022/06/28 16:10:40 - mmengine - INFO - Epoch(train) [78][80/3757] lr: 1.000e-03 eta: 6:21:40 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 10.6095 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2646 loss: 1.2646 2022/06/28 16:10:45 - mmengine - INFO - Epoch(train) [78][100/3757] lr: 1.000e-03 eta: 6:21:34 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 8.6275 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2991 loss: 1.2991 2022/06/28 16:10:50 - mmengine - INFO - Epoch(train) [78][120/3757] lr: 1.000e-03 eta: 6:21:29 time: 0.206 data_time: 0.009 memory: 5148 grad_norm: 8.8602 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0749 loss: 1.0749 2022/06/28 16:10:56 - mmengine - INFO - Epoch(train) [78][140/3757] lr: 1.000e-03 eta: 6:21:24 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 7.5798 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2131 loss: 1.2131 2022/06/28 16:11:01 - mmengine - INFO - Epoch(train) [78][160/3757] lr: 1.000e-03 eta: 6:21:18 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 9.9165 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3888 loss: 1.3888 2022/06/28 16:11:06 - mmengine - INFO - Epoch(train) [78][180/3757] lr: 1.000e-03 eta: 6:21:13 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 8.0275 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3221 loss: 1.3221 2022/06/28 16:11:11 - mmengine - INFO - Epoch(train) [78][200/3757] lr: 1.000e-03 eta: 6:21:08 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 7.9929 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2351 loss: 1.2351 2022/06/28 16:11:17 - mmengine - INFO - Epoch(train) [78][220/3757] lr: 1.000e-03 eta: 6:21:02 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 10.5916 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3334 loss: 1.3334 2022/06/28 16:11:21 - mmengine - INFO - Epoch(train) [78][240/3757] lr: 1.000e-03 eta: 6:20:57 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 9.8808 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1863 loss: 1.1863 2022/06/28 16:11:27 - mmengine - INFO - Epoch(train) [78][260/3757] lr: 1.000e-03 eta: 6:20:52 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 8.1887 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9639 loss: 0.9639 2022/06/28 16:11:32 - mmengine - INFO - Epoch(train) [78][280/3757] lr: 1.000e-03 eta: 6:20:46 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 8.4402 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3978 loss: 1.3978 2022/06/28 16:11:37 - mmengine - INFO - Epoch(train) [78][300/3757] lr: 1.000e-03 eta: 6:20:41 time: 0.204 data_time: 0.012 memory: 5148 grad_norm: 10.4957 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1214 loss: 1.1214 2022/06/28 16:11:43 - mmengine - INFO - Epoch(train) [78][320/3757] lr: 1.000e-03 eta: 6:20:36 time: 0.202 data_time: 0.017 memory: 5148 grad_norm: 9.2418 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2043 loss: 1.2043 2022/06/28 16:11:49 - mmengine - INFO - Epoch(train) [78][340/3757] lr: 1.000e-03 eta: 6:20:31 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 7.3806 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1509 loss: 1.1509 2022/06/28 16:11:53 - mmengine - INFO - Epoch(train) [78][360/3757] lr: 1.000e-03 eta: 6:20:25 time: 0.225 data_time: 0.024 memory: 5148 grad_norm: 8.5302 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2195 loss: 1.2195 2022/06/28 16:11:59 - mmengine - INFO - Epoch(train) [78][380/3757] lr: 1.000e-03 eta: 6:20:20 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 9.5126 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2281 loss: 1.2281 2022/06/28 16:12:04 - mmengine - INFO - Epoch(train) [78][400/3757] lr: 1.000e-03 eta: 6:20:15 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 8.9293 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3559 loss: 1.3559 2022/06/28 16:12:09 - mmengine - INFO - Epoch(train) [78][420/3757] lr: 1.000e-03 eta: 6:20:09 time: 0.208 data_time: 0.011 memory: 5148 grad_norm: 8.4252 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9408 loss: 0.9408 2022/06/28 16:12:15 - mmengine - INFO - Epoch(train) [78][440/3757] lr: 1.000e-03 eta: 6:20:04 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 8.5396 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1674 loss: 1.1674 2022/06/28 16:12:21 - mmengine - INFO - Epoch(train) [78][460/3757] lr: 1.000e-03 eta: 6:19:59 time: 0.237 data_time: 0.007 memory: 5148 grad_norm: 8.7457 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9678 loss: 0.9678 2022/06/28 16:12:25 - mmengine - INFO - Epoch(train) [78][480/3757] lr: 1.000e-03 eta: 6:19:53 time: 0.214 data_time: 0.015 memory: 5148 grad_norm: 7.3921 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1390 loss: 1.1390 2022/06/28 16:12:31 - mmengine - INFO - Epoch(train) [78][500/3757] lr: 1.000e-03 eta: 6:19:48 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 9.4947 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3227 loss: 1.3227 2022/06/28 16:12:36 - mmengine - INFO - Epoch(train) [78][520/3757] lr: 1.000e-03 eta: 6:19:43 time: 0.198 data_time: 0.009 memory: 5148 grad_norm: 7.4856 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3618 loss: 1.3618 2022/06/28 16:12:41 - mmengine - INFO - Epoch(train) [78][540/3757] lr: 1.000e-03 eta: 6:19:37 time: 0.201 data_time: 0.013 memory: 5148 grad_norm: 8.1081 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7939 loss: 1.7939 2022/06/28 16:12:46 - mmengine - INFO - Epoch(train) [78][560/3757] lr: 1.000e-03 eta: 6:19:32 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 7.3926 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2327 loss: 1.2327 2022/06/28 16:12:52 - mmengine - INFO - Epoch(train) [78][580/3757] lr: 1.000e-03 eta: 6:19:27 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 10.3044 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1528 loss: 1.1528 2022/06/28 16:12:57 - mmengine - INFO - Epoch(train) [78][600/3757] lr: 1.000e-03 eta: 6:19:21 time: 0.203 data_time: 0.021 memory: 5148 grad_norm: 8.8824 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2477 loss: 1.2477 2022/06/28 16:13:02 - mmengine - INFO - Epoch(train) [78][620/3757] lr: 1.000e-03 eta: 6:19:16 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 8.1563 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4761 loss: 1.4761 2022/06/28 16:13:08 - mmengine - INFO - Epoch(train) [78][640/3757] lr: 1.000e-03 eta: 6:19:11 time: 0.209 data_time: 0.010 memory: 5148 grad_norm: 8.7901 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4920 loss: 1.4920 2022/06/28 16:13:13 - mmengine - INFO - Epoch(train) [78][660/3757] lr: 1.000e-03 eta: 6:19:05 time: 0.292 data_time: 0.010 memory: 5148 grad_norm: 8.6969 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4141 loss: 1.4141 2022/06/28 16:13:18 - mmengine - INFO - Epoch(train) [78][680/3757] lr: 1.000e-03 eta: 6:19:00 time: 0.228 data_time: 0.008 memory: 5148 grad_norm: 7.0632 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3976 loss: 1.3976 2022/06/28 16:13:24 - mmengine - INFO - Epoch(train) [78][700/3757] lr: 1.000e-03 eta: 6:18:55 time: 0.471 data_time: 0.010 memory: 5148 grad_norm: 9.1287 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5222 loss: 1.5222 2022/06/28 16:13:26 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 16:13:29 - mmengine - INFO - Epoch(train) [78][720/3757] lr: 1.000e-03 eta: 6:18:49 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 7.5208 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4934 loss: 1.4934 2022/06/28 16:13:35 - mmengine - INFO - Epoch(train) [78][740/3757] lr: 1.000e-03 eta: 6:18:44 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 9.4063 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3031 loss: 1.3031 2022/06/28 16:13:40 - mmengine - INFO - Epoch(train) [78][760/3757] lr: 1.000e-03 eta: 6:18:39 time: 0.251 data_time: 0.007 memory: 5148 grad_norm: 8.9233 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3522 loss: 1.3522 2022/06/28 16:13:45 - mmengine - INFO - Epoch(train) [78][780/3757] lr: 1.000e-03 eta: 6:18:34 time: 0.205 data_time: 0.013 memory: 5148 grad_norm: 7.6190 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1603 loss: 1.1603 2022/06/28 16:13:51 - mmengine - INFO - Epoch(train) [78][800/3757] lr: 1.000e-03 eta: 6:18:28 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 8.1584 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0127 loss: 1.0127 2022/06/28 16:13:56 - mmengine - INFO - Epoch(train) [78][820/3757] lr: 1.000e-03 eta: 6:18:23 time: 0.219 data_time: 0.006 memory: 5148 grad_norm: 8.9050 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3518 loss: 1.3518 2022/06/28 16:14:01 - mmengine - INFO - Epoch(train) [78][840/3757] lr: 1.000e-03 eta: 6:18:18 time: 0.200 data_time: 0.017 memory: 5148 grad_norm: 7.9177 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4319 loss: 1.4319 2022/06/28 16:14:06 - mmengine - INFO - Epoch(train) [78][860/3757] lr: 1.000e-03 eta: 6:18:12 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 8.6393 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3682 loss: 1.3682 2022/06/28 16:14:12 - mmengine - INFO - Epoch(train) [78][880/3757] lr: 1.000e-03 eta: 6:18:07 time: 0.221 data_time: 0.017 memory: 5148 grad_norm: 9.0326 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1096 loss: 1.1096 2022/06/28 16:14:17 - mmengine - INFO - Epoch(train) [78][900/3757] lr: 1.000e-03 eta: 6:18:02 time: 0.212 data_time: 0.014 memory: 5148 grad_norm: 8.7063 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1441 loss: 1.1441 2022/06/28 16:14:22 - mmengine - INFO - Epoch(train) [78][920/3757] lr: 1.000e-03 eta: 6:17:57 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 8.9824 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.0127 loss: 1.0127 2022/06/28 16:14:28 - mmengine - INFO - Epoch(train) [78][940/3757] lr: 1.000e-03 eta: 6:17:51 time: 0.210 data_time: 0.010 memory: 5148 grad_norm: 9.4823 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3151 loss: 1.3151 2022/06/28 16:14:34 - mmengine - INFO - Epoch(train) [78][960/3757] lr: 1.000e-03 eta: 6:17:46 time: 0.205 data_time: 0.015 memory: 5148 grad_norm: 8.8829 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0087 loss: 1.0087 2022/06/28 16:14:39 - mmengine - INFO - Epoch(train) [78][980/3757] lr: 1.000e-03 eta: 6:17:41 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 7.9463 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4289 loss: 1.4289 2022/06/28 16:14:44 - mmengine - INFO - Epoch(train) [78][1000/3757] lr: 1.000e-03 eta: 6:17:35 time: 0.219 data_time: 0.007 memory: 5148 grad_norm: 9.0114 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3116 loss: 1.3116 2022/06/28 16:14:49 - mmengine - INFO - Epoch(train) [78][1020/3757] lr: 1.000e-03 eta: 6:17:30 time: 0.213 data_time: 0.017 memory: 5148 grad_norm: 8.5174 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2276 loss: 1.2276 2022/06/28 16:14:55 - mmengine - INFO - Epoch(train) [78][1040/3757] lr: 1.000e-03 eta: 6:17:25 time: 0.203 data_time: 0.019 memory: 5148 grad_norm: 7.5458 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4205 loss: 1.4205 2022/06/28 16:15:00 - mmengine - INFO - Epoch(train) [78][1060/3757] lr: 1.000e-03 eta: 6:17:19 time: 0.219 data_time: 0.007 memory: 5148 grad_norm: 8.2110 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3936 loss: 1.3936 2022/06/28 16:15:05 - mmengine - INFO - Epoch(train) [78][1080/3757] lr: 1.000e-03 eta: 6:17:14 time: 0.203 data_time: 0.017 memory: 5148 grad_norm: 8.7859 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4130 loss: 1.4130 2022/06/28 16:15:11 - mmengine - INFO - Epoch(train) [78][1100/3757] lr: 1.000e-03 eta: 6:17:09 time: 0.211 data_time: 0.010 memory: 5148 grad_norm: 9.8094 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5544 loss: 1.5544 2022/06/28 16:15:16 - mmengine - INFO - Epoch(train) [78][1120/3757] lr: 1.000e-03 eta: 6:17:04 time: 0.225 data_time: 0.020 memory: 5148 grad_norm: 9.0058 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1140 loss: 1.1140 2022/06/28 16:15:21 - mmengine - INFO - Epoch(train) [78][1140/3757] lr: 1.000e-03 eta: 6:16:58 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 9.3994 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1024 loss: 1.1024 2022/06/28 16:15:26 - mmengine - INFO - Epoch(train) [78][1160/3757] lr: 1.000e-03 eta: 6:16:53 time: 0.204 data_time: 0.017 memory: 5148 grad_norm: 8.1305 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1957 loss: 1.1957 2022/06/28 16:15:32 - mmengine - INFO - Epoch(train) [78][1180/3757] lr: 1.000e-03 eta: 6:16:48 time: 0.219 data_time: 0.019 memory: 5148 grad_norm: 8.2478 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0789 loss: 1.0789 2022/06/28 16:15:37 - mmengine - INFO - Epoch(train) [78][1200/3757] lr: 1.000e-03 eta: 6:16:42 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 9.2764 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2171 loss: 1.2171 2022/06/28 16:15:42 - mmengine - INFO - Epoch(train) [78][1220/3757] lr: 1.000e-03 eta: 6:16:37 time: 0.211 data_time: 0.020 memory: 5148 grad_norm: 8.0459 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3731 loss: 1.3731 2022/06/28 16:15:48 - mmengine - INFO - Epoch(train) [78][1240/3757] lr: 1.000e-03 eta: 6:16:32 time: 0.217 data_time: 0.021 memory: 5148 grad_norm: 9.1370 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1037 loss: 1.1037 2022/06/28 16:15:53 - mmengine - INFO - Epoch(train) [78][1260/3757] lr: 1.000e-03 eta: 6:16:26 time: 0.194 data_time: 0.014 memory: 5148 grad_norm: 7.2925 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2203 loss: 1.2203 2022/06/28 16:15:58 - mmengine - INFO - Epoch(train) [78][1280/3757] lr: 1.000e-03 eta: 6:16:21 time: 0.216 data_time: 0.036 memory: 5148 grad_norm: 8.5344 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9042 loss: 0.9042 2022/06/28 16:16:03 - mmengine - INFO - Epoch(train) [78][1300/3757] lr: 1.000e-03 eta: 6:16:16 time: 0.212 data_time: 0.021 memory: 5148 grad_norm: 8.9328 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5834 loss: 1.5834 2022/06/28 16:16:08 - mmengine - INFO - Epoch(train) [78][1320/3757] lr: 1.000e-03 eta: 6:16:10 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 8.4657 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2869 loss: 1.2869 2022/06/28 16:16:14 - mmengine - INFO - Epoch(train) [78][1340/3757] lr: 1.000e-03 eta: 6:16:05 time: 0.211 data_time: 0.016 memory: 5148 grad_norm: 7.6607 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3007 loss: 1.3007 2022/06/28 16:16:19 - mmengine - INFO - Epoch(train) [78][1360/3757] lr: 1.000e-03 eta: 6:16:00 time: 0.218 data_time: 0.022 memory: 5148 grad_norm: 8.2417 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3406 loss: 1.3406 2022/06/28 16:16:24 - mmengine - INFO - Epoch(train) [78][1380/3757] lr: 1.000e-03 eta: 6:15:54 time: 0.210 data_time: 0.010 memory: 5148 grad_norm: 8.8811 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2568 loss: 1.2568 2022/06/28 16:16:30 - mmengine - INFO - Epoch(train) [78][1400/3757] lr: 1.000e-03 eta: 6:15:49 time: 0.208 data_time: 0.026 memory: 5148 grad_norm: 8.3511 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1415 loss: 1.1415 2022/06/28 16:16:36 - mmengine - INFO - Epoch(train) [78][1420/3757] lr: 1.000e-03 eta: 6:15:44 time: 0.219 data_time: 0.010 memory: 5148 grad_norm: 7.6187 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0582 loss: 1.0582 2022/06/28 16:16:40 - mmengine - INFO - Epoch(train) [78][1440/3757] lr: 1.000e-03 eta: 6:15:38 time: 0.201 data_time: 0.013 memory: 5148 grad_norm: 9.9660 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8959 loss: 0.8959 2022/06/28 16:16:46 - mmengine - INFO - Epoch(train) [78][1460/3757] lr: 1.000e-03 eta: 6:15:33 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 8.2945 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4215 loss: 1.4215 2022/06/28 16:16:51 - mmengine - INFO - Epoch(train) [78][1480/3757] lr: 1.000e-03 eta: 6:15:28 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 9.9524 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4201 loss: 1.4201 2022/06/28 16:16:57 - mmengine - INFO - Epoch(train) [78][1500/3757] lr: 1.000e-03 eta: 6:15:23 time: 0.197 data_time: 0.017 memory: 5148 grad_norm: 8.6184 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1826 loss: 1.1826 2022/06/28 16:17:02 - mmengine - INFO - Epoch(train) [78][1520/3757] lr: 1.000e-03 eta: 6:15:17 time: 0.200 data_time: 0.016 memory: 5148 grad_norm: 8.6901 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2266 loss: 1.2266 2022/06/28 16:17:07 - mmengine - INFO - Epoch(train) [78][1540/3757] lr: 1.000e-03 eta: 6:15:12 time: 0.211 data_time: 0.010 memory: 5148 grad_norm: 8.7285 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1015 loss: 1.1015 2022/06/28 16:17:13 - mmengine - INFO - Epoch(train) [78][1560/3757] lr: 1.000e-03 eta: 6:15:07 time: 0.220 data_time: 0.022 memory: 5148 grad_norm: 9.6466 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3791 loss: 1.3791 2022/06/28 16:17:19 - mmengine - INFO - Epoch(train) [78][1580/3757] lr: 1.000e-03 eta: 6:15:02 time: 0.198 data_time: 0.013 memory: 5148 grad_norm: 8.2980 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3496 loss: 1.3496 2022/06/28 16:17:23 - mmengine - INFO - Epoch(train) [78][1600/3757] lr: 1.000e-03 eta: 6:14:56 time: 0.342 data_time: 0.021 memory: 5148 grad_norm: 8.2506 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4020 loss: 1.4020 2022/06/28 16:17:29 - mmengine - INFO - Epoch(train) [78][1620/3757] lr: 1.000e-03 eta: 6:14:51 time: 0.222 data_time: 0.019 memory: 5148 grad_norm: 10.4067 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1119 loss: 1.1119 2022/06/28 16:17:34 - mmengine - INFO - Epoch(train) [78][1640/3757] lr: 1.000e-03 eta: 6:14:46 time: 0.207 data_time: 0.011 memory: 5148 grad_norm: 8.1741 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1142 loss: 1.1142 2022/06/28 16:17:39 - mmengine - INFO - Epoch(train) [78][1660/3757] lr: 1.000e-03 eta: 6:14:40 time: 0.228 data_time: 0.007 memory: 5148 grad_norm: 8.0144 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1600 loss: 1.1600 2022/06/28 16:17:45 - mmengine - INFO - Epoch(train) [78][1680/3757] lr: 1.000e-03 eta: 6:14:35 time: 0.207 data_time: 0.015 memory: 5148 grad_norm: 9.4161 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3503 loss: 1.3503 2022/06/28 16:17:50 - mmengine - INFO - Epoch(train) [78][1700/3757] lr: 1.000e-03 eta: 6:14:30 time: 0.224 data_time: 0.010 memory: 5148 grad_norm: 7.9656 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9700 loss: 0.9700 2022/06/28 16:17:54 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 16:17:56 - mmengine - INFO - Epoch(train) [78][1720/3757] lr: 1.000e-03 eta: 6:14:24 time: 0.211 data_time: 0.016 memory: 5148 grad_norm: 8.1129 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0704 loss: 1.0704 2022/06/28 16:18:00 - mmengine - INFO - Epoch(train) [78][1740/3757] lr: 1.000e-03 eta: 6:14:19 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 7.8435 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5001 loss: 1.5001 2022/06/28 16:18:04 - mmengine - INFO - Epoch(train) [78][1760/3757] lr: 1.000e-03 eta: 6:14:13 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 8.1508 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0416 loss: 1.0416 2022/06/28 16:18:09 - mmengine - INFO - Epoch(train) [78][1780/3757] lr: 1.000e-03 eta: 6:14:08 time: 0.208 data_time: 0.013 memory: 5148 grad_norm: 8.4341 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3872 loss: 1.3872 2022/06/28 16:18:15 - mmengine - INFO - Epoch(train) [78][1800/3757] lr: 1.000e-03 eta: 6:14:03 time: 0.211 data_time: 0.012 memory: 5148 grad_norm: 7.2989 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2850 loss: 1.2850 2022/06/28 16:18:20 - mmengine - INFO - Epoch(train) [78][1820/3757] lr: 1.000e-03 eta: 6:13:57 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 7.7495 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2993 loss: 1.2993 2022/06/28 16:18:25 - mmengine - INFO - Epoch(train) [78][1840/3757] lr: 1.000e-03 eta: 6:13:52 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 8.4223 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5750 loss: 1.5750 2022/06/28 16:18:31 - mmengine - INFO - Epoch(train) [78][1860/3757] lr: 1.000e-03 eta: 6:13:47 time: 0.206 data_time: 0.013 memory: 5148 grad_norm: 8.9578 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3215 loss: 1.3215 2022/06/28 16:18:36 - mmengine - INFO - Epoch(train) [78][1880/3757] lr: 1.000e-03 eta: 6:13:41 time: 0.215 data_time: 0.010 memory: 5148 grad_norm: 8.2996 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4034 loss: 1.4034 2022/06/28 16:18:41 - mmengine - INFO - Epoch(train) [78][1900/3757] lr: 1.000e-03 eta: 6:13:36 time: 0.193 data_time: 0.009 memory: 5148 grad_norm: 7.5079 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2916 loss: 1.2916 2022/06/28 16:18:47 - mmengine - INFO - Epoch(train) [78][1920/3757] lr: 1.000e-03 eta: 6:13:31 time: 0.197 data_time: 0.015 memory: 5148 grad_norm: 9.3674 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1152 loss: 1.1152 2022/06/28 16:18:52 - mmengine - INFO - Epoch(train) [78][1940/3757] lr: 1.000e-03 eta: 6:13:25 time: 0.373 data_time: 0.016 memory: 5148 grad_norm: 7.6620 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7794 loss: 0.7794 2022/06/28 16:18:57 - mmengine - INFO - Epoch(train) [78][1960/3757] lr: 1.000e-03 eta: 6:13:20 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 11.3207 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6767 loss: 1.6767 2022/06/28 16:19:03 - mmengine - INFO - Epoch(train) [78][1980/3757] lr: 1.000e-03 eta: 6:13:15 time: 0.204 data_time: 0.021 memory: 5148 grad_norm: 7.6229 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0125 loss: 1.0125 2022/06/28 16:19:08 - mmengine - INFO - Epoch(train) [78][2000/3757] lr: 1.000e-03 eta: 6:13:10 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 8.3494 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1857 loss: 1.1857 2022/06/28 16:19:14 - mmengine - INFO - Epoch(train) [78][2020/3757] lr: 1.000e-03 eta: 6:13:04 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 8.6449 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2327 loss: 1.2327 2022/06/28 16:19:19 - mmengine - INFO - Epoch(train) [78][2040/3757] lr: 1.000e-03 eta: 6:12:59 time: 0.216 data_time: 0.032 memory: 5148 grad_norm: 8.2291 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0277 loss: 1.0277 2022/06/28 16:19:24 - mmengine - INFO - Epoch(train) [78][2060/3757] lr: 1.000e-03 eta: 6:12:54 time: 0.212 data_time: 0.013 memory: 5148 grad_norm: 8.1233 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0799 loss: 1.0799 2022/06/28 16:19:30 - mmengine - INFO - Epoch(train) [78][2080/3757] lr: 1.000e-03 eta: 6:12:48 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 9.0712 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5132 loss: 1.5132 2022/06/28 16:19:35 - mmengine - INFO - Epoch(train) [78][2100/3757] lr: 1.000e-03 eta: 6:12:43 time: 0.800 data_time: 0.281 memory: 5148 grad_norm: 9.3783 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2632 loss: 1.2632 2022/06/28 16:19:40 - mmengine - INFO - Epoch(train) [78][2120/3757] lr: 1.000e-03 eta: 6:12:38 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 9.0003 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6253 loss: 1.6253 2022/06/28 16:19:46 - mmengine - INFO - Epoch(train) [78][2140/3757] lr: 1.000e-03 eta: 6:12:33 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 9.1113 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1534 loss: 1.1534 2022/06/28 16:19:51 - mmengine - INFO - Epoch(train) [78][2160/3757] lr: 1.000e-03 eta: 6:12:27 time: 0.904 data_time: 0.037 memory: 5148 grad_norm: 8.1078 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2672 loss: 1.2672 2022/06/28 16:19:56 - mmengine - INFO - Epoch(train) [78][2180/3757] lr: 1.000e-03 eta: 6:12:22 time: 0.201 data_time: 0.020 memory: 5148 grad_norm: 7.4219 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2495 loss: 1.2495 2022/06/28 16:20:02 - mmengine - INFO - Epoch(train) [78][2200/3757] lr: 1.000e-03 eta: 6:12:17 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 9.0110 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1458 loss: 1.1458 2022/06/28 16:20:08 - mmengine - INFO - Epoch(train) [78][2220/3757] lr: 1.000e-03 eta: 6:12:12 time: 0.824 data_time: 0.032 memory: 5148 grad_norm: 10.4469 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1560 loss: 1.1560 2022/06/28 16:20:12 - mmengine - INFO - Epoch(train) [78][2240/3757] lr: 1.000e-03 eta: 6:12:06 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 8.2063 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0879 loss: 1.0879 2022/06/28 16:20:17 - mmengine - INFO - Epoch(train) [78][2260/3757] lr: 1.000e-03 eta: 6:12:01 time: 0.220 data_time: 0.013 memory: 5148 grad_norm: 8.2202 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4507 loss: 1.4507 2022/06/28 16:20:23 - mmengine - INFO - Epoch(train) [78][2280/3757] lr: 1.000e-03 eta: 6:11:55 time: 0.709 data_time: 0.033 memory: 5148 grad_norm: 10.0008 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3302 loss: 1.3302 2022/06/28 16:20:28 - mmengine - INFO - Epoch(train) [78][2300/3757] lr: 1.000e-03 eta: 6:11:50 time: 0.207 data_time: 0.006 memory: 5148 grad_norm: 8.2471 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3296 loss: 1.3296 2022/06/28 16:20:34 - mmengine - INFO - Epoch(train) [78][2320/3757] lr: 1.000e-03 eta: 6:11:45 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 9.6033 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2048 loss: 1.2048 2022/06/28 16:20:39 - mmengine - INFO - Epoch(train) [78][2340/3757] lr: 1.000e-03 eta: 6:11:40 time: 0.688 data_time: 0.025 memory: 5148 grad_norm: 9.8478 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1159 loss: 1.1159 2022/06/28 16:20:44 - mmengine - INFO - Epoch(train) [78][2360/3757] lr: 1.000e-03 eta: 6:11:34 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 9.5777 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9633 loss: 0.9633 2022/06/28 16:20:49 - mmengine - INFO - Epoch(train) [78][2380/3757] lr: 1.000e-03 eta: 6:11:29 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 7.9527 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0925 loss: 1.0925 2022/06/28 16:20:55 - mmengine - INFO - Epoch(train) [78][2400/3757] lr: 1.000e-03 eta: 6:11:23 time: 0.898 data_time: 0.030 memory: 5148 grad_norm: 10.4674 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2642 loss: 1.2642 2022/06/28 16:20:59 - mmengine - INFO - Epoch(train) [78][2420/3757] lr: 1.000e-03 eta: 6:11:18 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 10.5786 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0519 loss: 1.0519 2022/06/28 16:21:05 - mmengine - INFO - Epoch(train) [78][2440/3757] lr: 1.000e-03 eta: 6:11:13 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 9.3860 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4863 loss: 1.4863 2022/06/28 16:21:11 - mmengine - INFO - Epoch(train) [78][2460/3757] lr: 1.000e-03 eta: 6:11:08 time: 0.825 data_time: 0.024 memory: 5148 grad_norm: 8.5854 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4372 loss: 1.4372 2022/06/28 16:21:16 - mmengine - INFO - Epoch(train) [78][2480/3757] lr: 1.000e-03 eta: 6:11:02 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 8.7072 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2045 loss: 1.2045 2022/06/28 16:21:21 - mmengine - INFO - Epoch(train) [78][2500/3757] lr: 1.000e-03 eta: 6:10:57 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 10.0716 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2883 loss: 1.2883 2022/06/28 16:21:27 - mmengine - INFO - Epoch(train) [78][2520/3757] lr: 1.000e-03 eta: 6:10:52 time: 0.906 data_time: 0.023 memory: 5148 grad_norm: 9.0004 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5646 loss: 1.5646 2022/06/28 16:21:31 - mmengine - INFO - Epoch(train) [78][2540/3757] lr: 1.000e-03 eta: 6:10:46 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 9.5805 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1593 loss: 1.1593 2022/06/28 16:21:36 - mmengine - INFO - Epoch(train) [78][2560/3757] lr: 1.000e-03 eta: 6:10:41 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 8.2801 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0447 loss: 1.0447 2022/06/28 16:21:42 - mmengine - INFO - Epoch(train) [78][2580/3757] lr: 1.000e-03 eta: 6:10:36 time: 0.564 data_time: 0.016 memory: 5148 grad_norm: 8.5295 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2605 loss: 1.2605 2022/06/28 16:21:47 - mmengine - INFO - Epoch(train) [78][2600/3757] lr: 1.000e-03 eta: 6:10:30 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 9.0738 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7336 loss: 1.7336 2022/06/28 16:21:52 - mmengine - INFO - Epoch(train) [78][2620/3757] lr: 1.000e-03 eta: 6:10:25 time: 0.199 data_time: 0.013 memory: 5148 grad_norm: 9.7990 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0905 loss: 1.0905 2022/06/28 16:21:58 - mmengine - INFO - Epoch(train) [78][2640/3757] lr: 1.000e-03 eta: 6:10:20 time: 0.728 data_time: 0.014 memory: 5148 grad_norm: 10.5961 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3951 loss: 1.3951 2022/06/28 16:22:03 - mmengine - INFO - Epoch(train) [78][2660/3757] lr: 1.000e-03 eta: 6:10:14 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 10.4091 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1232 loss: 1.1232 2022/06/28 16:22:08 - mmengine - INFO - Epoch(train) [78][2680/3757] lr: 1.000e-03 eta: 6:10:09 time: 0.209 data_time: 0.012 memory: 5148 grad_norm: 9.6858 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3512 loss: 1.3512 2022/06/28 16:22:14 - mmengine - INFO - Epoch(train) [78][2700/3757] lr: 1.000e-03 eta: 6:10:04 time: 0.811 data_time: 0.012 memory: 5148 grad_norm: 8.9370 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2600 loss: 1.2600 2022/06/28 16:22:16 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 16:22:18 - mmengine - INFO - Epoch(train) [78][2720/3757] lr: 1.000e-03 eta: 6:09:58 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 9.5719 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1768 loss: 1.1768 2022/06/28 16:22:24 - mmengine - INFO - Epoch(train) [78][2740/3757] lr: 1.000e-03 eta: 6:09:53 time: 0.205 data_time: 0.022 memory: 5148 grad_norm: 8.5229 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4204 loss: 1.4204 2022/06/28 16:22:29 - mmengine - INFO - Epoch(train) [78][2760/3757] lr: 1.000e-03 eta: 6:09:48 time: 0.698 data_time: 0.008 memory: 5148 grad_norm: 9.0509 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6814 loss: 1.6814 2022/06/28 16:22:35 - mmengine - INFO - Epoch(train) [78][2780/3757] lr: 1.000e-03 eta: 6:09:42 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 10.8818 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7325 loss: 1.7325 2022/06/28 16:22:40 - mmengine - INFO - Epoch(train) [78][2800/3757] lr: 1.000e-03 eta: 6:09:37 time: 0.206 data_time: 0.019 memory: 5148 grad_norm: 8.5440 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1349 loss: 1.1349 2022/06/28 16:22:45 - mmengine - INFO - Epoch(train) [78][2820/3757] lr: 1.000e-03 eta: 6:09:32 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 8.5068 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3827 loss: 1.3827 2022/06/28 16:22:50 - mmengine - INFO - Epoch(train) [78][2840/3757] lr: 1.000e-03 eta: 6:09:26 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 7.4649 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7839 loss: 1.7839 2022/06/28 16:22:56 - mmengine - INFO - Epoch(train) [78][2860/3757] lr: 1.000e-03 eta: 6:09:21 time: 0.199 data_time: 0.015 memory: 5148 grad_norm: 10.1638 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3668 loss: 1.3668 2022/06/28 16:23:01 - mmengine - INFO - Epoch(train) [78][2880/3757] lr: 1.000e-03 eta: 6:09:16 time: 0.494 data_time: 0.008 memory: 5148 grad_norm: 8.7357 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0482 loss: 1.0482 2022/06/28 16:23:07 - mmengine - INFO - Epoch(train) [78][2900/3757] lr: 1.000e-03 eta: 6:09:11 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 8.2991 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5479 loss: 1.5479 2022/06/28 16:23:13 - mmengine - INFO - Epoch(train) [78][2920/3757] lr: 1.000e-03 eta: 6:09:05 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 9.0814 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3240 loss: 1.3240 2022/06/28 16:23:18 - mmengine - INFO - Epoch(train) [78][2940/3757] lr: 1.000e-03 eta: 6:09:00 time: 0.291 data_time: 0.007 memory: 5148 grad_norm: 9.0087 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9739 loss: 0.9739 2022/06/28 16:23:23 - mmengine - INFO - Epoch(train) [78][2960/3757] lr: 1.000e-03 eta: 6:08:55 time: 0.213 data_time: 0.008 memory: 5148 grad_norm: 9.6787 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0365 loss: 1.0365 2022/06/28 16:23:29 - mmengine - INFO - Epoch(train) [78][2980/3757] lr: 1.000e-03 eta: 6:08:50 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 9.1716 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9830 loss: 0.9830 2022/06/28 16:23:34 - mmengine - INFO - Epoch(train) [78][3000/3757] lr: 1.000e-03 eta: 6:08:44 time: 0.961 data_time: 0.011 memory: 5148 grad_norm: 9.5710 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4505 loss: 1.4505 2022/06/28 16:23:39 - mmengine - INFO - Epoch(train) [78][3020/3757] lr: 1.000e-03 eta: 6:08:39 time: 0.204 data_time: 0.016 memory: 5148 grad_norm: 8.9849 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0111 loss: 1.0111 2022/06/28 16:23:45 - mmengine - INFO - Epoch(train) [78][3040/3757] lr: 1.000e-03 eta: 6:08:34 time: 0.199 data_time: 0.015 memory: 5148 grad_norm: 9.9046 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2495 loss: 1.2495 2022/06/28 16:23:50 - mmengine - INFO - Epoch(train) [78][3060/3757] lr: 1.000e-03 eta: 6:08:28 time: 1.042 data_time: 0.011 memory: 5148 grad_norm: 9.2065 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1208 loss: 1.1208 2022/06/28 16:23:55 - mmengine - INFO - Epoch(train) [78][3080/3757] lr: 1.000e-03 eta: 6:08:23 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 8.0744 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1285 loss: 1.1285 2022/06/28 16:24:00 - mmengine - INFO - Epoch(train) [78][3100/3757] lr: 1.000e-03 eta: 6:08:18 time: 0.231 data_time: 0.015 memory: 5148 grad_norm: 8.4812 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8829 loss: 0.8829 2022/06/28 16:24:06 - mmengine - INFO - Epoch(train) [78][3120/3757] lr: 1.000e-03 eta: 6:08:12 time: 1.005 data_time: 0.011 memory: 5148 grad_norm: 8.7478 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2283 loss: 1.2283 2022/06/28 16:24:11 - mmengine - INFO - Epoch(train) [78][3140/3757] lr: 1.000e-03 eta: 6:08:07 time: 0.203 data_time: 0.017 memory: 5148 grad_norm: 8.0095 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3609 loss: 1.3609 2022/06/28 16:24:16 - mmengine - INFO - Epoch(train) [78][3160/3757] lr: 1.000e-03 eta: 6:08:02 time: 0.202 data_time: 0.016 memory: 5148 grad_norm: 7.6871 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2025 loss: 1.2025 2022/06/28 16:24:21 - mmengine - INFO - Epoch(train) [78][3180/3757] lr: 1.000e-03 eta: 6:07:56 time: 0.744 data_time: 0.010 memory: 5148 grad_norm: 8.2250 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2013 loss: 1.2013 2022/06/28 16:24:26 - mmengine - INFO - Epoch(train) [78][3200/3757] lr: 1.000e-03 eta: 6:07:51 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 7.9080 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1383 loss: 1.1383 2022/06/28 16:24:32 - mmengine - INFO - Epoch(train) [78][3220/3757] lr: 1.000e-03 eta: 6:07:46 time: 0.205 data_time: 0.019 memory: 5148 grad_norm: 8.3321 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2593 loss: 1.2593 2022/06/28 16:24:38 - mmengine - INFO - Epoch(train) [78][3240/3757] lr: 1.000e-03 eta: 6:07:41 time: 1.308 data_time: 0.012 memory: 5148 grad_norm: 9.8226 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7907 loss: 1.7907 2022/06/28 16:24:43 - mmengine - INFO - Epoch(train) [78][3260/3757] lr: 1.000e-03 eta: 6:07:35 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 9.1522 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4258 loss: 1.4258 2022/06/28 16:24:48 - mmengine - INFO - Epoch(train) [78][3280/3757] lr: 1.000e-03 eta: 6:07:30 time: 0.209 data_time: 0.013 memory: 5148 grad_norm: 9.1317 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1886 loss: 1.1886 2022/06/28 16:24:53 - mmengine - INFO - Epoch(train) [78][3300/3757] lr: 1.000e-03 eta: 6:07:24 time: 0.663 data_time: 0.010 memory: 5148 grad_norm: 9.6500 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3717 loss: 1.3717 2022/06/28 16:24:58 - mmengine - INFO - Epoch(train) [78][3320/3757] lr: 1.000e-03 eta: 6:07:19 time: 0.204 data_time: 0.017 memory: 5148 grad_norm: 8.3577 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3612 loss: 1.3612 2022/06/28 16:25:04 - mmengine - INFO - Epoch(train) [78][3340/3757] lr: 1.000e-03 eta: 6:07:14 time: 0.208 data_time: 0.012 memory: 5148 grad_norm: 9.4833 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3783 loss: 1.3783 2022/06/28 16:25:09 - mmengine - INFO - Epoch(train) [78][3360/3757] lr: 1.000e-03 eta: 6:07:09 time: 0.983 data_time: 0.014 memory: 5148 grad_norm: 8.2350 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2212 loss: 1.2212 2022/06/28 16:25:14 - mmengine - INFO - Epoch(train) [78][3380/3757] lr: 1.000e-03 eta: 6:07:03 time: 0.390 data_time: 0.018 memory: 5148 grad_norm: 8.7384 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2935 loss: 1.2935 2022/06/28 16:25:20 - mmengine - INFO - Epoch(train) [78][3400/3757] lr: 1.000e-03 eta: 6:06:58 time: 0.622 data_time: 0.022 memory: 5148 grad_norm: 8.7173 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3125 loss: 1.3125 2022/06/28 16:25:25 - mmengine - INFO - Epoch(train) [78][3420/3757] lr: 1.000e-03 eta: 6:06:53 time: 0.556 data_time: 0.007 memory: 5148 grad_norm: 9.7982 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7518 loss: 1.7518 2022/06/28 16:25:30 - mmengine - INFO - Epoch(train) [78][3440/3757] lr: 1.000e-03 eta: 6:06:47 time: 0.203 data_time: 0.020 memory: 5148 grad_norm: 9.5360 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5794 loss: 1.5794 2022/06/28 16:25:36 - mmengine - INFO - Epoch(train) [78][3460/3757] lr: 1.000e-03 eta: 6:06:42 time: 0.681 data_time: 0.018 memory: 5148 grad_norm: 8.7401 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9898 loss: 0.9898 2022/06/28 16:25:41 - mmengine - INFO - Epoch(train) [78][3480/3757] lr: 1.000e-03 eta: 6:06:37 time: 0.609 data_time: 0.007 memory: 5148 grad_norm: 9.1168 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9362 loss: 0.9362 2022/06/28 16:25:46 - mmengine - INFO - Epoch(train) [78][3500/3757] lr: 1.000e-03 eta: 6:06:31 time: 0.213 data_time: 0.032 memory: 5148 grad_norm: 8.1156 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9790 loss: 0.9790 2022/06/28 16:25:52 - mmengine - INFO - Epoch(train) [78][3520/3757] lr: 1.000e-03 eta: 6:06:26 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 8.6701 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6991 loss: 1.6991 2022/06/28 16:25:57 - mmengine - INFO - Epoch(train) [78][3540/3757] lr: 1.000e-03 eta: 6:06:21 time: 0.775 data_time: 0.007 memory: 5148 grad_norm: 10.1313 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0143 loss: 1.0143 2022/06/28 16:26:02 - mmengine - INFO - Epoch(train) [78][3560/3757] lr: 1.000e-03 eta: 6:06:15 time: 0.198 data_time: 0.016 memory: 5148 grad_norm: 8.3029 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3655 loss: 1.3655 2022/06/28 16:26:08 - mmengine - INFO - Epoch(train) [78][3580/3757] lr: 1.000e-03 eta: 6:06:10 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 10.2260 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2113 loss: 1.2113 2022/06/28 16:26:13 - mmengine - INFO - Epoch(train) [78][3600/3757] lr: 1.000e-03 eta: 6:06:05 time: 0.678 data_time: 0.011 memory: 5148 grad_norm: 8.9542 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1673 loss: 1.1673 2022/06/28 16:26:18 - mmengine - INFO - Epoch(train) [78][3620/3757] lr: 1.000e-03 eta: 6:06:00 time: 0.201 data_time: 0.009 memory: 5148 grad_norm: 9.7771 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1895 loss: 1.1895 2022/06/28 16:26:24 - mmengine - INFO - Epoch(train) [78][3640/3757] lr: 1.000e-03 eta: 6:05:54 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 7.6172 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4370 loss: 1.4370 2022/06/28 16:26:30 - mmengine - INFO - Epoch(train) [78][3660/3757] lr: 1.000e-03 eta: 6:05:49 time: 0.988 data_time: 0.007 memory: 5148 grad_norm: 8.6146 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0610 loss: 1.0610 2022/06/28 16:26:35 - mmengine - INFO - Epoch(train) [78][3680/3757] lr: 1.000e-03 eta: 6:05:44 time: 0.212 data_time: 0.019 memory: 5148 grad_norm: 9.3180 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8534 loss: 0.8534 2022/06/28 16:26:40 - mmengine - INFO - Epoch(train) [78][3700/3757] lr: 1.000e-03 eta: 6:05:38 time: 0.212 data_time: 0.011 memory: 5148 grad_norm: 9.0293 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4660 loss: 1.4660 2022/06/28 16:26:43 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 16:26:45 - mmengine - INFO - Epoch(train) [78][3720/3757] lr: 1.000e-03 eta: 6:05:33 time: 1.111 data_time: 0.010 memory: 5148 grad_norm: 8.4650 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9935 loss: 0.9935 2022/06/28 16:26:51 - mmengine - INFO - Epoch(train) [78][3740/3757] lr: 1.000e-03 eta: 6:05:28 time: 0.193 data_time: 0.014 memory: 5148 grad_norm: 9.1670 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8448 loss: 0.8448 2022/06/28 16:26:54 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 16:27:01 - mmengine - INFO - Epoch(val) [78][20/310] eta: 0:01:08 time: 0.076 data_time: 0.005 memory: 5148 2022/06/28 16:27:06 - mmengine - INFO - Epoch(val) [78][40/310] eta: 0:01:04 time: 0.091 data_time: 0.013 memory: 1367 2022/06/28 16:27:12 - mmengine - INFO - Epoch(val) [78][60/310] eta: 0:00:52 time: 0.083 data_time: 0.006 memory: 1367 2022/06/28 16:27:16 - mmengine - INFO - Epoch(val) [78][80/310] eta: 0:01:02 time: 0.620 data_time: 0.547 memory: 1367 2022/06/28 16:27:22 - mmengine - INFO - Epoch(val) [78][100/310] eta: 0:00:45 time: 0.081 data_time: 0.005 memory: 1367 2022/06/28 16:27:27 - mmengine - INFO - Epoch(val) [78][120/310] eta: 0:00:49 time: 0.659 data_time: 0.588 memory: 1367 2022/06/28 16:27:32 - mmengine - INFO - Epoch(val) [78][140/310] eta: 0:00:41 time: 0.200 data_time: 0.127 memory: 1367 2022/06/28 16:27:38 - mmengine - INFO - Epoch(val) [78][160/310] eta: 0:00:50 time: 1.226 data_time: 1.149 memory: 1367 2022/06/28 16:27:43 - mmengine - INFO - Epoch(val) [78][180/310] eta: 0:00:31 time: 0.079 data_time: 0.008 memory: 1367 2022/06/28 16:27:49 - mmengine - INFO - Epoch(val) [78][200/310] eta: 0:00:39 time: 1.522 data_time: 1.447 memory: 1367 2022/06/28 16:27:54 - mmengine - INFO - Epoch(val) [78][220/310] eta: 0:00:27 time: 0.082 data_time: 0.009 memory: 1367 2022/06/28 16:27:59 - mmengine - INFO - Epoch(val) [78][240/310] eta: 0:00:19 time: 0.528 data_time: 0.457 memory: 1367 2022/06/28 16:28:04 - mmengine - INFO - Epoch(val) [78][260/310] eta: 0:00:17 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 16:28:10 - mmengine - INFO - Epoch(val) [78][280/310] eta: 0:00:08 time: 0.690 data_time: 0.612 memory: 1367 2022/06/28 16:28:15 - mmengine - INFO - Epoch(val) [78][300/310] eta: 0:00:03 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 16:28:18 - mmengine - INFO - Epoch(val) [78][310/310] acc/top1: 0.6479 acc/top5: 0.8567 acc/mean1: 0.6477 2022/06/28 16:28:26 - mmengine - INFO - Epoch(train) [79][20/3757] lr: 1.000e-03 eta: 6:05:18 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 10.3139 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5748 loss: 1.5748 2022/06/28 16:28:32 - mmengine - INFO - Epoch(train) [79][40/3757] lr: 1.000e-03 eta: 6:05:13 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 10.8295 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3679 loss: 1.3679 2022/06/28 16:28:37 - mmengine - INFO - Epoch(train) [79][60/3757] lr: 1.000e-03 eta: 6:05:08 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 7.6916 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2462 loss: 1.2462 2022/06/28 16:28:43 - mmengine - INFO - Epoch(train) [79][80/3757] lr: 1.000e-03 eta: 6:05:02 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 8.8243 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7347 loss: 1.7347 2022/06/28 16:28:48 - mmengine - INFO - Epoch(train) [79][100/3757] lr: 1.000e-03 eta: 6:04:57 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 8.5483 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4901 loss: 1.4901 2022/06/28 16:28:53 - mmengine - INFO - Epoch(train) [79][120/3757] lr: 1.000e-03 eta: 6:04:52 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 8.3616 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1512 loss: 1.1512 2022/06/28 16:28:59 - mmengine - INFO - Epoch(train) [79][140/3757] lr: 1.000e-03 eta: 6:04:46 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 7.3858 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0480 loss: 1.0480 2022/06/28 16:29:04 - mmengine - INFO - Epoch(train) [79][160/3757] lr: 1.000e-03 eta: 6:04:41 time: 0.254 data_time: 0.029 memory: 5148 grad_norm: 8.2981 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1283 loss: 1.1283 2022/06/28 16:29:09 - mmengine - INFO - Epoch(train) [79][180/3757] lr: 1.000e-03 eta: 6:04:36 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 7.6735 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3848 loss: 1.3848 2022/06/28 16:29:15 - mmengine - INFO - Epoch(train) [79][200/3757] lr: 1.000e-03 eta: 6:04:31 time: 0.214 data_time: 0.012 memory: 5148 grad_norm: 8.5098 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0889 loss: 1.0889 2022/06/28 16:29:20 - mmengine - INFO - Epoch(train) [79][220/3757] lr: 1.000e-03 eta: 6:04:25 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 10.7326 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2080 loss: 1.2080 2022/06/28 16:29:25 - mmengine - INFO - Epoch(train) [79][240/3757] lr: 1.000e-03 eta: 6:04:20 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 8.6708 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2107 loss: 1.2107 2022/06/28 16:29:31 - mmengine - INFO - Epoch(train) [79][260/3757] lr: 1.000e-03 eta: 6:04:15 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 8.2797 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4107 loss: 1.4107 2022/06/28 16:29:36 - mmengine - INFO - Epoch(train) [79][280/3757] lr: 1.000e-03 eta: 6:04:09 time: 0.219 data_time: 0.008 memory: 5148 grad_norm: 10.6987 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5595 loss: 1.5595 2022/06/28 16:29:42 - mmengine - INFO - Epoch(train) [79][300/3757] lr: 1.000e-03 eta: 6:04:04 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 7.5297 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9821 loss: 0.9821 2022/06/28 16:29:47 - mmengine - INFO - Epoch(train) [79][320/3757] lr: 1.000e-03 eta: 6:03:59 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 7.9175 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1520 loss: 1.1520 2022/06/28 16:29:52 - mmengine - INFO - Epoch(train) [79][340/3757] lr: 1.000e-03 eta: 6:03:53 time: 0.221 data_time: 0.010 memory: 5148 grad_norm: 8.0934 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4301 loss: 1.4301 2022/06/28 16:29:57 - mmengine - INFO - Epoch(train) [79][360/3757] lr: 1.000e-03 eta: 6:03:48 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 8.0883 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0042 loss: 1.0042 2022/06/28 16:30:03 - mmengine - INFO - Epoch(train) [79][380/3757] lr: 1.000e-03 eta: 6:03:43 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 7.6439 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2102 loss: 1.2102 2022/06/28 16:30:08 - mmengine - INFO - Epoch(train) [79][400/3757] lr: 1.000e-03 eta: 6:03:38 time: 0.623 data_time: 0.007 memory: 5148 grad_norm: 10.0798 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2376 loss: 1.2376 2022/06/28 16:30:14 - mmengine - INFO - Epoch(train) [79][420/3757] lr: 1.000e-03 eta: 6:03:32 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 8.1701 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1843 loss: 1.1843 2022/06/28 16:30:19 - mmengine - INFO - Epoch(train) [79][440/3757] lr: 1.000e-03 eta: 6:03:27 time: 0.209 data_time: 0.011 memory: 5148 grad_norm: 8.0269 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8943 loss: 0.8943 2022/06/28 16:30:26 - mmengine - INFO - Epoch(train) [79][460/3757] lr: 1.000e-03 eta: 6:03:22 time: 0.227 data_time: 0.008 memory: 5148 grad_norm: 7.7257 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6698 loss: 1.6698 2022/06/28 16:30:30 - mmengine - INFO - Epoch(train) [79][480/3757] lr: 1.000e-03 eta: 6:03:16 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 8.0001 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2588 loss: 1.2588 2022/06/28 16:30:35 - mmengine - INFO - Epoch(train) [79][500/3757] lr: 1.000e-03 eta: 6:03:11 time: 0.208 data_time: 0.012 memory: 5148 grad_norm: 8.2692 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7601 loss: 1.7601 2022/06/28 16:30:41 - mmengine - INFO - Epoch(train) [79][520/3757] lr: 1.000e-03 eta: 6:03:06 time: 0.221 data_time: 0.007 memory: 5148 grad_norm: 7.7121 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6672 loss: 1.6672 2022/06/28 16:30:46 - mmengine - INFO - Epoch(train) [79][540/3757] lr: 1.000e-03 eta: 6:03:01 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 7.6483 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4534 loss: 1.4534 2022/06/28 16:30:51 - mmengine - INFO - Epoch(train) [79][560/3757] lr: 1.000e-03 eta: 6:02:55 time: 0.198 data_time: 0.015 memory: 5148 grad_norm: 9.8358 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2657 loss: 1.2657 2022/06/28 16:30:57 - mmengine - INFO - Epoch(train) [79][580/3757] lr: 1.000e-03 eta: 6:02:50 time: 0.219 data_time: 0.007 memory: 5148 grad_norm: 9.7653 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1988 loss: 1.1988 2022/06/28 16:31:03 - mmengine - INFO - Epoch(train) [79][600/3757] lr: 1.000e-03 eta: 6:02:45 time: 0.212 data_time: 0.008 memory: 5148 grad_norm: 9.5182 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6191 loss: 1.6191 2022/06/28 16:31:07 - mmengine - INFO - Epoch(train) [79][620/3757] lr: 1.000e-03 eta: 6:02:39 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 11.7935 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4066 loss: 1.4066 2022/06/28 16:31:13 - mmengine - INFO - Epoch(train) [79][640/3757] lr: 1.000e-03 eta: 6:02:34 time: 0.354 data_time: 0.007 memory: 5148 grad_norm: 8.9598 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1055 loss: 1.1055 2022/06/28 16:31:18 - mmengine - INFO - Epoch(train) [79][660/3757] lr: 1.000e-03 eta: 6:02:29 time: 0.218 data_time: 0.007 memory: 5148 grad_norm: 10.3217 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5638 loss: 1.5638 2022/06/28 16:31:23 - mmengine - INFO - Epoch(train) [79][680/3757] lr: 1.000e-03 eta: 6:02:23 time: 0.720 data_time: 0.007 memory: 5148 grad_norm: 7.6350 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3857 loss: 1.3857 2022/06/28 16:31:29 - mmengine - INFO - Epoch(train) [79][700/3757] lr: 1.000e-03 eta: 6:02:18 time: 0.356 data_time: 0.007 memory: 5148 grad_norm: 8.5634 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3873 loss: 1.3873 2022/06/28 16:31:34 - mmengine - INFO - Epoch(train) [79][720/3757] lr: 1.000e-03 eta: 6:02:13 time: 0.200 data_time: 0.009 memory: 5148 grad_norm: 7.8997 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5962 loss: 1.5962 2022/06/28 16:31:40 - mmengine - INFO - Epoch(train) [79][740/3757] lr: 1.000e-03 eta: 6:02:08 time: 0.211 data_time: 0.012 memory: 5148 grad_norm: 9.0413 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4289 loss: 1.4289 2022/06/28 16:31:45 - mmengine - INFO - Epoch(train) [79][760/3757] lr: 1.000e-03 eta: 6:02:02 time: 0.216 data_time: 0.010 memory: 5148 grad_norm: 8.3927 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2733 loss: 1.2733 2022/06/28 16:31:50 - mmengine - INFO - Epoch(train) [79][780/3757] lr: 1.000e-03 eta: 6:01:57 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 9.3444 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2639 loss: 1.2639 2022/06/28 16:31:55 - mmengine - INFO - Epoch(train) [79][800/3757] lr: 1.000e-03 eta: 6:01:52 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 8.4170 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0600 loss: 1.0600 2022/06/28 16:32:00 - mmengine - INFO - Epoch(train) [79][820/3757] lr: 1.000e-03 eta: 6:01:46 time: 0.928 data_time: 0.007 memory: 5148 grad_norm: 8.2258 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7857 loss: 1.7857 2022/06/28 16:32:05 - mmengine - INFO - Epoch(train) [79][840/3757] lr: 1.000e-03 eta: 6:01:41 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 8.3124 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1602 loss: 1.1602 2022/06/28 16:32:11 - mmengine - INFO - Epoch(train) [79][860/3757] lr: 1.000e-03 eta: 6:01:36 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 10.3484 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5256 loss: 1.5256 2022/06/28 16:32:16 - mmengine - INFO - Epoch(train) [79][880/3757] lr: 1.000e-03 eta: 6:01:30 time: 0.330 data_time: 0.008 memory: 5148 grad_norm: 7.3635 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1688 loss: 1.1688 2022/06/28 16:32:22 - mmengine - INFO - Epoch(train) [79][900/3757] lr: 1.000e-03 eta: 6:01:25 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 9.6515 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1640 loss: 1.1640 2022/06/28 16:32:27 - mmengine - INFO - Epoch(train) [79][920/3757] lr: 1.000e-03 eta: 6:01:20 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 10.5906 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5221 loss: 1.5221 2022/06/28 16:32:33 - mmengine - INFO - Epoch(train) [79][940/3757] lr: 1.000e-03 eta: 6:01:15 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 8.1627 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9407 loss: 0.9407 2022/06/28 16:32:36 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 16:32:38 - mmengine - INFO - Epoch(train) [79][960/3757] lr: 1.000e-03 eta: 6:01:09 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 8.9359 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9001 loss: 0.9001 2022/06/28 16:32:43 - mmengine - INFO - Epoch(train) [79][980/3757] lr: 1.000e-03 eta: 6:01:04 time: 0.203 data_time: 0.015 memory: 5148 grad_norm: 7.7703 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1412 loss: 1.1412 2022/06/28 16:32:48 - mmengine - INFO - Epoch(train) [79][1000/3757] lr: 1.000e-03 eta: 6:00:58 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 9.1721 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1872 loss: 1.1872 2022/06/28 16:32:54 - mmengine - INFO - Epoch(train) [79][1020/3757] lr: 1.000e-03 eta: 6:00:53 time: 0.199 data_time: 0.009 memory: 5148 grad_norm: 9.0208 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9535 loss: 0.9535 2022/06/28 16:32:59 - mmengine - INFO - Epoch(train) [79][1040/3757] lr: 1.000e-03 eta: 6:00:48 time: 0.211 data_time: 0.012 memory: 5148 grad_norm: 7.3463 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5800 loss: 1.5800 2022/06/28 16:33:04 - mmengine - INFO - Epoch(train) [79][1060/3757] lr: 1.000e-03 eta: 6:00:42 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 9.0107 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1941 loss: 1.1941 2022/06/28 16:33:10 - mmengine - INFO - Epoch(train) [79][1080/3757] lr: 1.000e-03 eta: 6:00:37 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 8.2802 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.1729 loss: 1.1729 2022/06/28 16:33:15 - mmengine - INFO - Epoch(train) [79][1100/3757] lr: 1.000e-03 eta: 6:00:32 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 7.4679 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0435 loss: 1.0435 2022/06/28 16:33:20 - mmengine - INFO - Epoch(train) [79][1120/3757] lr: 1.000e-03 eta: 6:00:27 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 9.5838 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2309 loss: 1.2309 2022/06/28 16:33:26 - mmengine - INFO - Epoch(train) [79][1140/3757] lr: 1.000e-03 eta: 6:00:21 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 8.6040 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3347 loss: 1.3347 2022/06/28 16:33:30 - mmengine - INFO - Epoch(train) [79][1160/3757] lr: 1.000e-03 eta: 6:00:16 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 8.9513 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3377 loss: 1.3377 2022/06/28 16:33:36 - mmengine - INFO - Epoch(train) [79][1180/3757] lr: 1.000e-03 eta: 6:00:11 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 9.0267 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1852 loss: 1.1852 2022/06/28 16:33:41 - mmengine - INFO - Epoch(train) [79][1200/3757] lr: 1.000e-03 eta: 6:00:05 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 9.8241 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9674 loss: 0.9674 2022/06/28 16:33:47 - mmengine - INFO - Epoch(train) [79][1220/3757] lr: 1.000e-03 eta: 6:00:00 time: 0.201 data_time: 0.015 memory: 5148 grad_norm: 8.0414 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0446 loss: 1.0446 2022/06/28 16:33:53 - mmengine - INFO - Epoch(train) [79][1240/3757] lr: 1.000e-03 eta: 5:59:55 time: 0.203 data_time: 0.012 memory: 5148 grad_norm: 8.8209 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4296 loss: 1.4296 2022/06/28 16:33:59 - mmengine - INFO - Epoch(train) [79][1260/3757] lr: 1.000e-03 eta: 5:59:50 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 8.1203 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9580 loss: 0.9580 2022/06/28 16:34:03 - mmengine - INFO - Epoch(train) [79][1280/3757] lr: 1.000e-03 eta: 5:59:44 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 8.3613 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4986 loss: 1.4986 2022/06/28 16:34:08 - mmengine - INFO - Epoch(train) [79][1300/3757] lr: 1.000e-03 eta: 5:59:39 time: 0.207 data_time: 0.013 memory: 5148 grad_norm: 8.8279 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0743 loss: 1.0743 2022/06/28 16:34:13 - mmengine - INFO - Epoch(train) [79][1320/3757] lr: 1.000e-03 eta: 5:59:33 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 8.9102 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3856 loss: 1.3856 2022/06/28 16:34:18 - mmengine - INFO - Epoch(train) [79][1340/3757] lr: 1.000e-03 eta: 5:59:28 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 9.1245 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0767 loss: 1.0767 2022/06/28 16:34:24 - mmengine - INFO - Epoch(train) [79][1360/3757] lr: 1.000e-03 eta: 5:59:23 time: 0.206 data_time: 0.019 memory: 5148 grad_norm: 8.7028 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7260 loss: 1.7260 2022/06/28 16:34:29 - mmengine - INFO - Epoch(train) [79][1380/3757] lr: 1.000e-03 eta: 5:59:18 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 7.4682 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3548 loss: 1.3548 2022/06/28 16:34:35 - mmengine - INFO - Epoch(train) [79][1400/3757] lr: 1.000e-03 eta: 5:59:12 time: 0.228 data_time: 0.008 memory: 5148 grad_norm: 8.9739 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2869 loss: 1.2869 2022/06/28 16:34:41 - mmengine - INFO - Epoch(train) [79][1420/3757] lr: 1.000e-03 eta: 5:59:07 time: 0.206 data_time: 0.014 memory: 5148 grad_norm: 8.2878 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3538 loss: 1.3538 2022/06/28 16:34:46 - mmengine - INFO - Epoch(train) [79][1440/3757] lr: 1.000e-03 eta: 5:59:02 time: 0.194 data_time: 0.011 memory: 5148 grad_norm: 8.4594 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5914 loss: 1.5914 2022/06/28 16:34:51 - mmengine - INFO - Epoch(train) [79][1460/3757] lr: 1.000e-03 eta: 5:58:57 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 8.4744 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1663 loss: 1.1663 2022/06/28 16:34:57 - mmengine - INFO - Epoch(train) [79][1480/3757] lr: 1.000e-03 eta: 5:58:51 time: 0.198 data_time: 0.014 memory: 5148 grad_norm: 9.6325 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4039 loss: 1.4039 2022/06/28 16:35:01 - mmengine - INFO - Epoch(train) [79][1500/3757] lr: 1.000e-03 eta: 5:58:46 time: 0.190 data_time: 0.007 memory: 5148 grad_norm: 7.9032 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3194 loss: 1.3194 2022/06/28 16:35:07 - mmengine - INFO - Epoch(train) [79][1520/3757] lr: 1.000e-03 eta: 5:58:41 time: 0.213 data_time: 0.022 memory: 5148 grad_norm: 9.4336 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7369 loss: 1.7369 2022/06/28 16:35:13 - mmengine - INFO - Epoch(train) [79][1540/3757] lr: 1.000e-03 eta: 5:58:35 time: 0.205 data_time: 0.009 memory: 5148 grad_norm: 9.6977 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2165 loss: 1.2165 2022/06/28 16:35:17 - mmengine - INFO - Epoch(train) [79][1560/3757] lr: 1.000e-03 eta: 5:58:30 time: 0.202 data_time: 0.012 memory: 5148 grad_norm: 8.3979 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2501 loss: 1.2501 2022/06/28 16:35:23 - mmengine - INFO - Epoch(train) [79][1580/3757] lr: 1.000e-03 eta: 5:58:25 time: 0.217 data_time: 0.010 memory: 5148 grad_norm: 7.8563 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3224 loss: 1.3224 2022/06/28 16:35:28 - mmengine - INFO - Epoch(train) [79][1600/3757] lr: 1.000e-03 eta: 5:58:19 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 8.3056 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4224 loss: 1.4224 2022/06/28 16:35:33 - mmengine - INFO - Epoch(train) [79][1620/3757] lr: 1.000e-03 eta: 5:58:14 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 9.0598 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2641 loss: 1.2641 2022/06/28 16:35:38 - mmengine - INFO - Epoch(train) [79][1640/3757] lr: 1.000e-03 eta: 5:58:09 time: 0.240 data_time: 0.008 memory: 5148 grad_norm: 9.2078 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1363 loss: 1.1363 2022/06/28 16:35:44 - mmengine - INFO - Epoch(train) [79][1660/3757] lr: 1.000e-03 eta: 5:58:03 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 8.4697 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1954 loss: 1.1954 2022/06/28 16:35:49 - mmengine - INFO - Epoch(train) [79][1680/3757] lr: 1.000e-03 eta: 5:57:58 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 10.2546 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3081 loss: 1.3081 2022/06/28 16:35:54 - mmengine - INFO - Epoch(train) [79][1700/3757] lr: 1.000e-03 eta: 5:57:53 time: 0.254 data_time: 0.007 memory: 5148 grad_norm: 9.4703 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1639 loss: 1.1639 2022/06/28 16:35:59 - mmengine - INFO - Epoch(train) [79][1720/3757] lr: 1.000e-03 eta: 5:57:47 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 7.7385 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5051 loss: 1.5051 2022/06/28 16:36:05 - mmengine - INFO - Epoch(train) [79][1740/3757] lr: 1.000e-03 eta: 5:57:42 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 7.9998 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0987 loss: 1.0987 2022/06/28 16:36:10 - mmengine - INFO - Epoch(train) [79][1760/3757] lr: 1.000e-03 eta: 5:57:37 time: 0.213 data_time: 0.008 memory: 5148 grad_norm: 9.1193 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2975 loss: 1.2975 2022/06/28 16:36:15 - mmengine - INFO - Epoch(train) [79][1780/3757] lr: 1.000e-03 eta: 5:57:31 time: 0.212 data_time: 0.010 memory: 5148 grad_norm: 9.3734 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2395 loss: 1.2395 2022/06/28 16:36:21 - mmengine - INFO - Epoch(train) [79][1800/3757] lr: 1.000e-03 eta: 5:57:26 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 7.7796 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0215 loss: 1.0215 2022/06/28 16:36:26 - mmengine - INFO - Epoch(train) [79][1820/3757] lr: 1.000e-03 eta: 5:57:21 time: 0.225 data_time: 0.008 memory: 5148 grad_norm: 11.1877 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2823 loss: 1.2823 2022/06/28 16:36:31 - mmengine - INFO - Epoch(train) [79][1840/3757] lr: 1.000e-03 eta: 5:57:15 time: 0.216 data_time: 0.016 memory: 5148 grad_norm: 10.0233 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3279 loss: 1.3279 2022/06/28 16:36:36 - mmengine - INFO - Epoch(train) [79][1860/3757] lr: 1.000e-03 eta: 5:57:10 time: 0.212 data_time: 0.010 memory: 5148 grad_norm: 7.9540 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3854 loss: 1.3854 2022/06/28 16:36:42 - mmengine - INFO - Epoch(train) [79][1880/3757] lr: 1.000e-03 eta: 5:57:05 time: 0.217 data_time: 0.008 memory: 5148 grad_norm: 8.2177 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3850 loss: 1.3850 2022/06/28 16:36:47 - mmengine - INFO - Epoch(train) [79][1900/3757] lr: 1.000e-03 eta: 5:57:00 time: 0.204 data_time: 0.017 memory: 5148 grad_norm: 9.8069 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2107 loss: 1.2107 2022/06/28 16:36:53 - mmengine - INFO - Epoch(train) [79][1920/3757] lr: 1.000e-03 eta: 5:56:54 time: 0.204 data_time: 0.017 memory: 5148 grad_norm: 8.1768 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1105 loss: 1.1105 2022/06/28 16:36:58 - mmengine - INFO - Epoch(train) [79][1940/3757] lr: 1.000e-03 eta: 5:56:49 time: 0.203 data_time: 0.009 memory: 5148 grad_norm: 9.8826 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3017 loss: 1.3017 2022/06/28 16:37:02 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 16:37:03 - mmengine - INFO - Epoch(train) [79][1960/3757] lr: 1.000e-03 eta: 5:56:44 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 9.0352 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9766 loss: 0.9766 2022/06/28 16:37:09 - mmengine - INFO - Epoch(train) [79][1980/3757] lr: 1.000e-03 eta: 5:56:38 time: 0.207 data_time: 0.024 memory: 5148 grad_norm: 9.1890 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2113 loss: 1.2113 2022/06/28 16:37:14 - mmengine - INFO - Epoch(train) [79][2000/3757] lr: 1.000e-03 eta: 5:56:33 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 10.3242 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6149 loss: 1.6149 2022/06/28 16:37:19 - mmengine - INFO - Epoch(train) [79][2020/3757] lr: 1.000e-03 eta: 5:56:28 time: 0.216 data_time: 0.008 memory: 5148 grad_norm: 8.9993 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3054 loss: 1.3054 2022/06/28 16:37:25 - mmengine - INFO - Epoch(train) [79][2040/3757] lr: 1.000e-03 eta: 5:56:23 time: 0.266 data_time: 0.031 memory: 5148 grad_norm: 8.8731 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6770 loss: 1.6770 2022/06/28 16:37:30 - mmengine - INFO - Epoch(train) [79][2060/3757] lr: 1.000e-03 eta: 5:56:17 time: 0.217 data_time: 0.008 memory: 5148 grad_norm: 10.1021 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3777 loss: 1.3777 2022/06/28 16:37:36 - mmengine - INFO - Epoch(train) [79][2080/3757] lr: 1.000e-03 eta: 5:56:12 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 6.1187 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3192 loss: 1.3192 2022/06/28 16:37:41 - mmengine - INFO - Epoch(train) [79][2100/3757] lr: 1.000e-03 eta: 5:56:07 time: 0.201 data_time: 0.025 memory: 5148 grad_norm: 10.5525 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0184 loss: 1.0184 2022/06/28 16:37:47 - mmengine - INFO - Epoch(train) [79][2120/3757] lr: 1.000e-03 eta: 5:56:01 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 9.3141 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0301 loss: 1.0301 2022/06/28 16:37:52 - mmengine - INFO - Epoch(train) [79][2140/3757] lr: 1.000e-03 eta: 5:55:56 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 8.5549 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2706 loss: 1.2706 2022/06/28 16:37:57 - mmengine - INFO - Epoch(train) [79][2160/3757] lr: 1.000e-03 eta: 5:55:51 time: 0.209 data_time: 0.025 memory: 5148 grad_norm: 8.9997 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1127 loss: 1.1127 2022/06/28 16:38:02 - mmengine - INFO - Epoch(train) [79][2180/3757] lr: 1.000e-03 eta: 5:55:45 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 9.3061 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8417 loss: 0.8417 2022/06/28 16:38:08 - mmengine - INFO - Epoch(train) [79][2200/3757] lr: 1.000e-03 eta: 5:55:40 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 8.5646 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5534 loss: 1.5534 2022/06/28 16:38:13 - mmengine - INFO - Epoch(train) [79][2220/3757] lr: 1.000e-03 eta: 5:55:35 time: 0.216 data_time: 0.018 memory: 5148 grad_norm: 7.6808 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2432 loss: 1.2432 2022/06/28 16:38:18 - mmengine - INFO - Epoch(train) [79][2240/3757] lr: 1.000e-03 eta: 5:55:30 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 7.1841 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7838 loss: 0.7838 2022/06/28 16:38:23 - mmengine - INFO - Epoch(train) [79][2260/3757] lr: 1.000e-03 eta: 5:55:24 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 8.4306 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4018 loss: 1.4018 2022/06/28 16:38:29 - mmengine - INFO - Epoch(train) [79][2280/3757] lr: 1.000e-03 eta: 5:55:19 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 8.2314 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1626 loss: 1.1626 2022/06/28 16:38:34 - mmengine - INFO - Epoch(train) [79][2300/3757] lr: 1.000e-03 eta: 5:55:14 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 8.8073 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1046 loss: 1.1046 2022/06/28 16:38:39 - mmengine - INFO - Epoch(train) [79][2320/3757] lr: 1.000e-03 eta: 5:55:08 time: 0.221 data_time: 0.008 memory: 5148 grad_norm: 8.7316 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0230 loss: 1.0230 2022/06/28 16:38:45 - mmengine - INFO - Epoch(train) [79][2340/3757] lr: 1.000e-03 eta: 5:55:03 time: 0.200 data_time: 0.009 memory: 5148 grad_norm: 8.6779 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5239 loss: 1.5239 2022/06/28 16:38:50 - mmengine - INFO - Epoch(train) [79][2360/3757] lr: 1.000e-03 eta: 5:54:58 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 9.1996 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1285 loss: 1.1285 2022/06/28 16:38:55 - mmengine - INFO - Epoch(train) [79][2380/3757] lr: 1.000e-03 eta: 5:54:52 time: 0.211 data_time: 0.008 memory: 5148 grad_norm: 7.0590 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1178 loss: 1.1178 2022/06/28 16:39:01 - mmengine - INFO - Epoch(train) [79][2400/3757] lr: 1.000e-03 eta: 5:54:47 time: 0.202 data_time: 0.016 memory: 5148 grad_norm: 9.8765 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5805 loss: 1.5805 2022/06/28 16:39:06 - mmengine - INFO - Epoch(train) [79][2420/3757] lr: 1.000e-03 eta: 5:54:42 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 8.4819 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0448 loss: 1.0448 2022/06/28 16:39:11 - mmengine - INFO - Epoch(train) [79][2440/3757] lr: 1.000e-03 eta: 5:54:36 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 8.4332 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4013 loss: 1.4013 2022/06/28 16:39:16 - mmengine - INFO - Epoch(train) [79][2460/3757] lr: 1.000e-03 eta: 5:54:31 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 7.8198 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4206 loss: 1.4206 2022/06/28 16:39:21 - mmengine - INFO - Epoch(train) [79][2480/3757] lr: 1.000e-03 eta: 5:54:26 time: 0.219 data_time: 0.008 memory: 5148 grad_norm: 8.7504 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0649 loss: 1.0649 2022/06/28 16:39:27 - mmengine - INFO - Epoch(train) [79][2500/3757] lr: 1.000e-03 eta: 5:54:20 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 8.8920 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4288 loss: 1.4288 2022/06/28 16:39:32 - mmengine - INFO - Epoch(train) [79][2520/3757] lr: 1.000e-03 eta: 5:54:15 time: 0.202 data_time: 0.014 memory: 5148 grad_norm: 7.8569 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1169 loss: 1.1169 2022/06/28 16:39:38 - mmengine - INFO - Epoch(train) [79][2540/3757] lr: 1.000e-03 eta: 5:54:10 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 11.3068 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5845 loss: 1.5845 2022/06/28 16:39:43 - mmengine - INFO - Epoch(train) [79][2560/3757] lr: 1.000e-03 eta: 5:54:05 time: 0.203 data_time: 0.025 memory: 5148 grad_norm: 10.9684 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4743 loss: 1.4743 2022/06/28 16:39:49 - mmengine - INFO - Epoch(train) [79][2580/3757] lr: 1.000e-03 eta: 5:53:59 time: 0.203 data_time: 0.020 memory: 5148 grad_norm: 8.4713 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1560 loss: 1.1560 2022/06/28 16:39:54 - mmengine - INFO - Epoch(train) [79][2600/3757] lr: 1.000e-03 eta: 5:53:54 time: 0.216 data_time: 0.006 memory: 5148 grad_norm: 8.5576 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3404 loss: 1.3404 2022/06/28 16:39:59 - mmengine - INFO - Epoch(train) [79][2620/3757] lr: 1.000e-03 eta: 5:53:49 time: 0.217 data_time: 0.038 memory: 5148 grad_norm: 7.6796 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0713 loss: 1.0713 2022/06/28 16:40:05 - mmengine - INFO - Epoch(train) [79][2640/3757] lr: 1.000e-03 eta: 5:53:44 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 8.8400 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1551 loss: 1.1551 2022/06/28 16:40:10 - mmengine - INFO - Epoch(train) [79][2660/3757] lr: 1.000e-03 eta: 5:53:38 time: 0.228 data_time: 0.008 memory: 5148 grad_norm: 7.9892 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1133 loss: 1.1133 2022/06/28 16:40:16 - mmengine - INFO - Epoch(train) [79][2680/3757] lr: 1.000e-03 eta: 5:53:33 time: 0.205 data_time: 0.024 memory: 5148 grad_norm: 7.6093 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0435 loss: 1.0435 2022/06/28 16:40:21 - mmengine - INFO - Epoch(train) [79][2700/3757] lr: 1.000e-03 eta: 5:53:28 time: 0.206 data_time: 0.009 memory: 5148 grad_norm: 9.6297 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2962 loss: 1.2962 2022/06/28 16:40:26 - mmengine - INFO - Epoch(train) [79][2720/3757] lr: 1.000e-03 eta: 5:53:22 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 6.5399 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3193 loss: 1.3193 2022/06/28 16:40:31 - mmengine - INFO - Epoch(train) [79][2740/3757] lr: 1.000e-03 eta: 5:53:17 time: 0.227 data_time: 0.041 memory: 5148 grad_norm: 9.6357 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2824 loss: 1.2824 2022/06/28 16:40:37 - mmengine - INFO - Epoch(train) [79][2760/3757] lr: 1.000e-03 eta: 5:53:12 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 8.5127 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5228 loss: 1.5228 2022/06/28 16:40:42 - mmengine - INFO - Epoch(train) [79][2780/3757] lr: 1.000e-03 eta: 5:53:06 time: 0.203 data_time: 0.016 memory: 5148 grad_norm: 8.8537 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.2661 loss: 1.2661 2022/06/28 16:40:47 - mmengine - INFO - Epoch(train) [79][2800/3757] lr: 1.000e-03 eta: 5:53:01 time: 0.214 data_time: 0.024 memory: 5148 grad_norm: 9.8861 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4735 loss: 1.4735 2022/06/28 16:40:53 - mmengine - INFO - Epoch(train) [79][2820/3757] lr: 1.000e-03 eta: 5:52:56 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 9.7124 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2039 loss: 1.2039 2022/06/28 16:40:58 - mmengine - INFO - Epoch(train) [79][2840/3757] lr: 1.000e-03 eta: 5:52:50 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 7.8681 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1500 loss: 1.1500 2022/06/28 16:41:04 - mmengine - INFO - Epoch(train) [79][2860/3757] lr: 1.000e-03 eta: 5:52:45 time: 0.237 data_time: 0.049 memory: 5148 grad_norm: 6.8314 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8528 loss: 0.8528 2022/06/28 16:41:08 - mmengine - INFO - Epoch(train) [79][2880/3757] lr: 1.000e-03 eta: 5:52:40 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 9.4080 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4932 loss: 1.4932 2022/06/28 16:41:14 - mmengine - INFO - Epoch(train) [79][2900/3757] lr: 1.000e-03 eta: 5:52:34 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 7.5946 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0974 loss: 1.0974 2022/06/28 16:41:19 - mmengine - INFO - Epoch(train) [79][2920/3757] lr: 1.000e-03 eta: 5:52:29 time: 0.198 data_time: 0.015 memory: 5148 grad_norm: 8.0903 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5444 loss: 1.5444 2022/06/28 16:41:24 - mmengine - INFO - Epoch(train) [79][2940/3757] lr: 1.000e-03 eta: 5:52:24 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 8.3759 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1521 loss: 1.1521 2022/06/28 16:41:28 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 16:41:30 - mmengine - INFO - Epoch(train) [79][2960/3757] lr: 1.000e-03 eta: 5:52:19 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 7.4590 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3963 loss: 1.3963 2022/06/28 16:41:35 - mmengine - INFO - Epoch(train) [79][2980/3757] lr: 1.000e-03 eta: 5:52:13 time: 0.215 data_time: 0.015 memory: 5148 grad_norm: 7.0947 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3150 loss: 1.3150 2022/06/28 16:41:40 - mmengine - INFO - Epoch(train) [79][3000/3757] lr: 1.000e-03 eta: 5:52:08 time: 0.207 data_time: 0.016 memory: 5148 grad_norm: 7.9317 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3250 loss: 1.3250 2022/06/28 16:41:45 - mmengine - INFO - Epoch(train) [79][3020/3757] lr: 1.000e-03 eta: 5:52:03 time: 0.198 data_time: 0.014 memory: 5148 grad_norm: 9.2890 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0593 loss: 1.0593 2022/06/28 16:41:50 - mmengine - INFO - Epoch(train) [79][3040/3757] lr: 1.000e-03 eta: 5:51:57 time: 0.210 data_time: 0.016 memory: 5148 grad_norm: 9.0254 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3883 loss: 1.3883 2022/06/28 16:41:55 - mmengine - INFO - Epoch(train) [79][3060/3757] lr: 1.000e-03 eta: 5:51:52 time: 0.198 data_time: 0.018 memory: 5148 grad_norm: 8.2097 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0628 loss: 1.0628 2022/06/28 16:42:01 - mmengine - INFO - Epoch(train) [79][3080/3757] lr: 1.000e-03 eta: 5:51:46 time: 0.466 data_time: 0.012 memory: 5148 grad_norm: 7.9068 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0250 loss: 1.0250 2022/06/28 16:42:07 - mmengine - INFO - Epoch(train) [79][3100/3757] lr: 1.000e-03 eta: 5:51:41 time: 0.209 data_time: 0.017 memory: 5148 grad_norm: 7.9008 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3117 loss: 1.3117 2022/06/28 16:42:11 - mmengine - INFO - Epoch(train) [79][3120/3757] lr: 1.000e-03 eta: 5:51:36 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 9.0852 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2863 loss: 1.2863 2022/06/28 16:42:17 - mmengine - INFO - Epoch(train) [79][3140/3757] lr: 1.000e-03 eta: 5:51:31 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 8.2160 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1086 loss: 1.1086 2022/06/28 16:42:22 - mmengine - INFO - Epoch(train) [79][3160/3757] lr: 1.000e-03 eta: 5:51:25 time: 0.207 data_time: 0.016 memory: 5148 grad_norm: 8.7607 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1207 loss: 1.1207 2022/06/28 16:42:28 - mmengine - INFO - Epoch(train) [79][3180/3757] lr: 1.000e-03 eta: 5:51:20 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 8.2795 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0402 loss: 1.0402 2022/06/28 16:42:33 - mmengine - INFO - Epoch(train) [79][3200/3757] lr: 1.000e-03 eta: 5:51:15 time: 0.199 data_time: 0.009 memory: 5148 grad_norm: 8.6658 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9694 loss: 0.9694 2022/06/28 16:42:38 - mmengine - INFO - Epoch(train) [79][3220/3757] lr: 1.000e-03 eta: 5:51:09 time: 0.208 data_time: 0.019 memory: 5148 grad_norm: 7.8863 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1818 loss: 1.1818 2022/06/28 16:42:43 - mmengine - INFO - Epoch(train) [79][3240/3757] lr: 1.000e-03 eta: 5:51:04 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 8.4742 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4692 loss: 1.4692 2022/06/28 16:42:49 - mmengine - INFO - Epoch(train) [79][3260/3757] lr: 1.000e-03 eta: 5:50:59 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 8.1424 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1777 loss: 1.1777 2022/06/28 16:42:54 - mmengine - INFO - Epoch(train) [79][3280/3757] lr: 1.000e-03 eta: 5:50:53 time: 0.390 data_time: 0.028 memory: 5148 grad_norm: 7.7863 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0747 loss: 1.0747 2022/06/28 16:43:00 - mmengine - INFO - Epoch(train) [79][3300/3757] lr: 1.000e-03 eta: 5:50:48 time: 0.208 data_time: 0.015 memory: 5148 grad_norm: 9.3927 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1760 loss: 1.1760 2022/06/28 16:43:05 - mmengine - INFO - Epoch(train) [79][3320/3757] lr: 1.000e-03 eta: 5:50:43 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 9.7217 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1887 loss: 1.1887 2022/06/28 16:43:10 - mmengine - INFO - Epoch(train) [79][3340/3757] lr: 1.000e-03 eta: 5:50:38 time: 0.210 data_time: 0.022 memory: 5148 grad_norm: 8.5926 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3456 loss: 1.3456 2022/06/28 16:43:16 - mmengine - INFO - Epoch(train) [79][3360/3757] lr: 1.000e-03 eta: 5:50:32 time: 0.203 data_time: 0.014 memory: 5148 grad_norm: 8.7686 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3699 loss: 1.3699 2022/06/28 16:43:22 - mmengine - INFO - Epoch(train) [79][3380/3757] lr: 1.000e-03 eta: 5:50:27 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 9.2552 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2830 loss: 1.2830 2022/06/28 16:43:27 - mmengine - INFO - Epoch(train) [79][3400/3757] lr: 1.000e-03 eta: 5:50:22 time: 0.216 data_time: 0.012 memory: 5148 grad_norm: 8.8181 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4515 loss: 1.4515 2022/06/28 16:43:31 - mmengine - INFO - Epoch(train) [79][3420/3757] lr: 1.000e-03 eta: 5:50:16 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 8.2931 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1296 loss: 1.1296 2022/06/28 16:43:36 - mmengine - INFO - Epoch(train) [79][3440/3757] lr: 1.000e-03 eta: 5:50:11 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 7.8955 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4811 loss: 1.4811 2022/06/28 16:43:41 - mmengine - INFO - Epoch(train) [79][3460/3757] lr: 1.000e-03 eta: 5:50:06 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 8.9998 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9413 loss: 0.9413 2022/06/28 16:43:47 - mmengine - INFO - Epoch(train) [79][3480/3757] lr: 1.000e-03 eta: 5:50:00 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 8.2926 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2409 loss: 1.2409 2022/06/28 16:43:53 - mmengine - INFO - Epoch(train) [79][3500/3757] lr: 1.000e-03 eta: 5:49:55 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 8.6377 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5864 loss: 1.5864 2022/06/28 16:43:58 - mmengine - INFO - Epoch(train) [79][3520/3757] lr: 1.000e-03 eta: 5:49:50 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 9.3966 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3965 loss: 1.3965 2022/06/28 16:44:04 - mmengine - INFO - Epoch(train) [79][3540/3757] lr: 1.000e-03 eta: 5:49:45 time: 0.218 data_time: 0.012 memory: 5148 grad_norm: 7.6419 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2138 loss: 1.2138 2022/06/28 16:44:09 - mmengine - INFO - Epoch(train) [79][3560/3757] lr: 1.000e-03 eta: 5:49:39 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 8.4594 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9608 loss: 0.9608 2022/06/28 16:44:14 - mmengine - INFO - Epoch(train) [79][3580/3757] lr: 1.000e-03 eta: 5:49:34 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 7.7712 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2700 loss: 1.2700 2022/06/28 16:44:19 - mmengine - INFO - Epoch(train) [79][3600/3757] lr: 1.000e-03 eta: 5:49:29 time: 0.206 data_time: 0.014 memory: 5148 grad_norm: 8.7137 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1164 loss: 1.1164 2022/06/28 16:44:25 - mmengine - INFO - Epoch(train) [79][3620/3757] lr: 1.000e-03 eta: 5:49:23 time: 0.212 data_time: 0.008 memory: 5148 grad_norm: 7.0385 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2164 loss: 1.2164 2022/06/28 16:44:30 - mmengine - INFO - Epoch(train) [79][3640/3757] lr: 1.000e-03 eta: 5:49:18 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 8.3186 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2888 loss: 1.2888 2022/06/28 16:44:35 - mmengine - INFO - Epoch(train) [79][3660/3757] lr: 1.000e-03 eta: 5:49:13 time: 0.214 data_time: 0.011 memory: 5148 grad_norm: 8.1136 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9882 loss: 0.9882 2022/06/28 16:44:41 - mmengine - INFO - Epoch(train) [79][3680/3757] lr: 1.000e-03 eta: 5:49:07 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 7.9057 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4655 loss: 1.4655 2022/06/28 16:44:47 - mmengine - INFO - Epoch(train) [79][3700/3757] lr: 1.000e-03 eta: 5:49:02 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 7.9341 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3373 loss: 1.3373 2022/06/28 16:44:52 - mmengine - INFO - Epoch(train) [79][3720/3757] lr: 1.000e-03 eta: 5:48:57 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 8.5774 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3301 loss: 1.3301 2022/06/28 16:44:57 - mmengine - INFO - Epoch(train) [79][3740/3757] lr: 1.000e-03 eta: 5:48:52 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 9.3189 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2079 loss: 1.2079 2022/06/28 16:45:00 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 16:45:07 - mmengine - INFO - Epoch(val) [79][20/310] eta: 0:01:11 time: 0.121 data_time: 0.050 memory: 5148 2022/06/28 16:45:12 - mmengine - INFO - Epoch(val) [79][40/310] eta: 0:01:00 time: 0.081 data_time: 0.005 memory: 1367 2022/06/28 16:45:18 - mmengine - INFO - Epoch(val) [79][60/310] eta: 0:00:55 time: 0.084 data_time: 0.009 memory: 1367 2022/06/28 16:45:22 - mmengine - INFO - Epoch(val) [79][80/310] eta: 0:00:52 time: 0.132 data_time: 0.055 memory: 1367 2022/06/28 16:45:29 - mmengine - INFO - Epoch(val) [79][100/310] eta: 0:00:52 time: 0.079 data_time: 0.005 memory: 1367 2022/06/28 16:45:33 - mmengine - INFO - Epoch(val) [79][120/310] eta: 0:00:42 time: 0.080 data_time: 0.005 memory: 1367 2022/06/28 16:45:39 - mmengine - INFO - Epoch(val) [79][140/310] eta: 0:00:40 time: 0.151 data_time: 0.070 memory: 1367 2022/06/28 16:45:44 - mmengine - INFO - Epoch(val) [79][160/310] eta: 0:00:32 time: 0.093 data_time: 0.022 memory: 1367 2022/06/28 16:45:50 - mmengine - INFO - Epoch(val) [79][180/310] eta: 0:00:42 time: 1.005 data_time: 0.928 memory: 1367 2022/06/28 16:45:55 - mmengine - INFO - Epoch(val) [79][200/310] eta: 0:00:25 time: 0.087 data_time: 0.009 memory: 1367 2022/06/28 16:46:00 - mmengine - INFO - Epoch(val) [79][220/310] eta: 0:00:28 time: 0.175 data_time: 0.098 memory: 1367 2022/06/28 16:46:05 - mmengine - INFO - Epoch(val) [79][240/310] eta: 0:00:15 time: 0.077 data_time: 0.006 memory: 1367 2022/06/28 16:46:11 - mmengine - INFO - Epoch(val) [79][260/310] eta: 0:00:15 time: 0.075 data_time: 0.005 memory: 1367 2022/06/28 16:46:15 - mmengine - INFO - Epoch(val) [79][280/310] eta: 0:00:07 time: 0.079 data_time: 0.008 memory: 1367 2022/06/28 16:46:21 - mmengine - INFO - Epoch(val) [79][300/310] eta: 0:00:03 time: 0.081 data_time: 0.005 memory: 1367 2022/06/28 16:46:24 - mmengine - INFO - Epoch(val) [79][310/310] acc/top1: 0.6483 acc/top5: 0.8568 acc/mean1: 0.6481 2022/06/28 16:46:32 - mmengine - INFO - Epoch(train) [80][20/3757] lr: 1.000e-03 eta: 5:48:42 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 8.5436 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5854 loss: 1.5854 2022/06/28 16:46:38 - mmengine - INFO - Epoch(train) [80][40/3757] lr: 1.000e-03 eta: 5:48:37 time: 0.201 data_time: 0.024 memory: 5148 grad_norm: 8.6570 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4001 loss: 1.4001 2022/06/28 16:46:43 - mmengine - INFO - Epoch(train) [80][60/3757] lr: 1.000e-03 eta: 5:48:31 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 9.8283 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2857 loss: 1.2857 2022/06/28 16:46:49 - mmengine - INFO - Epoch(train) [80][80/3757] lr: 1.000e-03 eta: 5:48:26 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 8.2892 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2140 loss: 1.2140 2022/06/28 16:46:55 - mmengine - INFO - Epoch(train) [80][100/3757] lr: 1.000e-03 eta: 5:48:21 time: 0.220 data_time: 0.018 memory: 5148 grad_norm: 8.9586 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2788 loss: 1.2788 2022/06/28 16:47:00 - mmengine - INFO - Epoch(train) [80][120/3757] lr: 1.000e-03 eta: 5:48:16 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 10.7917 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4238 loss: 1.4238 2022/06/28 16:47:05 - mmengine - INFO - Epoch(train) [80][140/3757] lr: 1.000e-03 eta: 5:48:10 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 10.5688 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4111 loss: 1.4111 2022/06/28 16:47:11 - mmengine - INFO - Epoch(train) [80][160/3757] lr: 1.000e-03 eta: 5:48:05 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 8.3730 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0660 loss: 1.0660 2022/06/28 16:47:16 - mmengine - INFO - Epoch(train) [80][180/3757] lr: 1.000e-03 eta: 5:48:00 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 9.5405 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2125 loss: 1.2125 2022/06/28 16:47:21 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 16:47:21 - mmengine - INFO - Epoch(train) [80][200/3757] lr: 1.000e-03 eta: 5:47:54 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 8.7194 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3106 loss: 1.3106 2022/06/28 16:47:27 - mmengine - INFO - Epoch(train) [80][220/3757] lr: 1.000e-03 eta: 5:47:49 time: 0.231 data_time: 0.007 memory: 5148 grad_norm: 10.8698 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4482 loss: 1.4482 2022/06/28 16:47:32 - mmengine - INFO - Epoch(train) [80][240/3757] lr: 1.000e-03 eta: 5:47:44 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 8.1730 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1109 loss: 1.1109 2022/06/28 16:47:38 - mmengine - INFO - Epoch(train) [80][260/3757] lr: 1.000e-03 eta: 5:47:39 time: 0.221 data_time: 0.008 memory: 5148 grad_norm: 9.2710 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3830 loss: 1.3830 2022/06/28 16:47:43 - mmengine - INFO - Epoch(train) [80][280/3757] lr: 1.000e-03 eta: 5:47:33 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 8.7111 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1008 loss: 1.1008 2022/06/28 16:47:48 - mmengine - INFO - Epoch(train) [80][300/3757] lr: 1.000e-03 eta: 5:47:28 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 8.9673 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4838 loss: 1.4838 2022/06/28 16:47:54 - mmengine - INFO - Epoch(train) [80][320/3757] lr: 1.000e-03 eta: 5:47:23 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 10.7643 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6005 loss: 1.6005 2022/06/28 16:48:00 - mmengine - INFO - Epoch(train) [80][340/3757] lr: 1.000e-03 eta: 5:47:18 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 7.7809 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2001 loss: 1.2001 2022/06/28 16:48:05 - mmengine - INFO - Epoch(train) [80][360/3757] lr: 1.000e-03 eta: 5:47:12 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 9.1547 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1759 loss: 1.1759 2022/06/28 16:48:10 - mmengine - INFO - Epoch(train) [80][380/3757] lr: 1.000e-03 eta: 5:47:07 time: 0.213 data_time: 0.008 memory: 5148 grad_norm: 7.1203 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1347 loss: 1.1347 2022/06/28 16:48:15 - mmengine - INFO - Epoch(train) [80][400/3757] lr: 1.000e-03 eta: 5:47:01 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 10.1870 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2649 loss: 1.2649 2022/06/28 16:48:20 - mmengine - INFO - Epoch(train) [80][420/3757] lr: 1.000e-03 eta: 5:46:56 time: 0.197 data_time: 0.013 memory: 5148 grad_norm: 10.0221 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1942 loss: 1.1942 2022/06/28 16:48:26 - mmengine - INFO - Epoch(train) [80][440/3757] lr: 1.000e-03 eta: 5:46:51 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 7.3900 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2569 loss: 1.2569 2022/06/28 16:48:31 - mmengine - INFO - Epoch(train) [80][460/3757] lr: 1.000e-03 eta: 5:46:46 time: 0.350 data_time: 0.014 memory: 5148 grad_norm: 9.8583 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2717 loss: 1.2717 2022/06/28 16:48:36 - mmengine - INFO - Epoch(train) [80][480/3757] lr: 1.000e-03 eta: 5:46:40 time: 0.251 data_time: 0.019 memory: 5148 grad_norm: 7.7259 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1214 loss: 1.1214 2022/06/28 16:48:42 - mmengine - INFO - Epoch(train) [80][500/3757] lr: 1.000e-03 eta: 5:46:35 time: 0.215 data_time: 0.008 memory: 5148 grad_norm: 8.4220 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4182 loss: 1.4182 2022/06/28 16:48:48 - mmengine - INFO - Epoch(train) [80][520/3757] lr: 1.000e-03 eta: 5:46:30 time: 0.970 data_time: 0.008 memory: 5148 grad_norm: 8.7137 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0742 loss: 1.0742 2022/06/28 16:48:53 - mmengine - INFO - Epoch(train) [80][540/3757] lr: 1.000e-03 eta: 5:46:24 time: 0.202 data_time: 0.016 memory: 5148 grad_norm: 7.8173 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5041 loss: 1.5041 2022/06/28 16:48:58 - mmengine - INFO - Epoch(train) [80][560/3757] lr: 1.000e-03 eta: 5:46:19 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 10.0977 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0477 loss: 1.0477 2022/06/28 16:49:04 - mmengine - INFO - Epoch(train) [80][580/3757] lr: 1.000e-03 eta: 5:46:14 time: 0.324 data_time: 0.008 memory: 5148 grad_norm: 6.6843 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2035 loss: 1.2035 2022/06/28 16:49:09 - mmengine - INFO - Epoch(train) [80][600/3757] lr: 1.000e-03 eta: 5:46:09 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 8.6599 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0182 loss: 1.0182 2022/06/28 16:49:14 - mmengine - INFO - Epoch(train) [80][620/3757] lr: 1.000e-03 eta: 5:46:03 time: 0.214 data_time: 0.011 memory: 5148 grad_norm: 7.6704 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3063 loss: 1.3063 2022/06/28 16:49:20 - mmengine - INFO - Epoch(train) [80][640/3757] lr: 1.000e-03 eta: 5:45:58 time: 0.726 data_time: 0.007 memory: 5148 grad_norm: 10.6567 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4334 loss: 1.4334 2022/06/28 16:49:25 - mmengine - INFO - Epoch(train) [80][660/3757] lr: 1.000e-03 eta: 5:45:53 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 9.6906 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.9349 loss: 1.9349 2022/06/28 16:49:30 - mmengine - INFO - Epoch(train) [80][680/3757] lr: 1.000e-03 eta: 5:45:47 time: 0.198 data_time: 0.018 memory: 5148 grad_norm: 9.0840 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2288 loss: 1.2288 2022/06/28 16:49:36 - mmengine - INFO - Epoch(train) [80][700/3757] lr: 1.000e-03 eta: 5:45:42 time: 0.229 data_time: 0.007 memory: 5148 grad_norm: 8.2737 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5756 loss: 1.5756 2022/06/28 16:49:41 - mmengine - INFO - Epoch(train) [80][720/3757] lr: 1.000e-03 eta: 5:45:37 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 8.8350 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2254 loss: 1.2254 2022/06/28 16:49:47 - mmengine - INFO - Epoch(train) [80][740/3757] lr: 1.000e-03 eta: 5:45:32 time: 0.203 data_time: 0.017 memory: 5148 grad_norm: 10.5033 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3954 loss: 1.3954 2022/06/28 16:49:52 - mmengine - INFO - Epoch(train) [80][760/3757] lr: 1.000e-03 eta: 5:45:26 time: 0.225 data_time: 0.007 memory: 5148 grad_norm: 7.8464 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2204 loss: 1.2204 2022/06/28 16:49:57 - mmengine - INFO - Epoch(train) [80][780/3757] lr: 1.000e-03 eta: 5:45:21 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 9.1915 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0659 loss: 1.0659 2022/06/28 16:50:03 - mmengine - INFO - Epoch(train) [80][800/3757] lr: 1.000e-03 eta: 5:45:16 time: 0.206 data_time: 0.013 memory: 5148 grad_norm: 10.1220 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.1117 loss: 1.1117 2022/06/28 16:50:09 - mmengine - INFO - Epoch(train) [80][820/3757] lr: 1.000e-03 eta: 5:45:11 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 11.0013 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2573 loss: 1.2573 2022/06/28 16:50:14 - mmengine - INFO - Epoch(train) [80][840/3757] lr: 1.000e-03 eta: 5:45:05 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 8.5064 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1440 loss: 1.1440 2022/06/28 16:50:20 - mmengine - INFO - Epoch(train) [80][860/3757] lr: 1.000e-03 eta: 5:45:00 time: 0.208 data_time: 0.026 memory: 5148 grad_norm: 8.1610 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0080 loss: 1.0080 2022/06/28 16:50:25 - mmengine - INFO - Epoch(train) [80][880/3757] lr: 1.000e-03 eta: 5:44:55 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 8.3265 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6962 loss: 1.6962 2022/06/28 16:50:30 - mmengine - INFO - Epoch(train) [80][900/3757] lr: 1.000e-03 eta: 5:44:49 time: 0.196 data_time: 0.014 memory: 5148 grad_norm: 8.6001 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5036 loss: 1.5036 2022/06/28 16:50:36 - mmengine - INFO - Epoch(train) [80][920/3757] lr: 1.000e-03 eta: 5:44:44 time: 0.202 data_time: 0.016 memory: 5148 grad_norm: 10.2137 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3794 loss: 1.3794 2022/06/28 16:50:41 - mmengine - INFO - Epoch(train) [80][940/3757] lr: 1.000e-03 eta: 5:44:39 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 8.8048 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2244 loss: 1.2244 2022/06/28 16:50:46 - mmengine - INFO - Epoch(train) [80][960/3757] lr: 1.000e-03 eta: 5:44:33 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 7.4088 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1202 loss: 1.1202 2022/06/28 16:50:51 - mmengine - INFO - Epoch(train) [80][980/3757] lr: 1.000e-03 eta: 5:44:28 time: 0.198 data_time: 0.012 memory: 5148 grad_norm: 8.3094 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8374 loss: 0.8374 2022/06/28 16:50:57 - mmengine - INFO - Epoch(train) [80][1000/3757] lr: 1.000e-03 eta: 5:44:23 time: 1.034 data_time: 0.007 memory: 5148 grad_norm: 7.7640 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2835 loss: 1.2835 2022/06/28 16:51:02 - mmengine - INFO - Epoch(train) [80][1020/3757] lr: 1.000e-03 eta: 5:44:18 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 8.7411 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2035 loss: 1.2035 2022/06/28 16:51:08 - mmengine - INFO - Epoch(train) [80][1040/3757] lr: 1.000e-03 eta: 5:44:12 time: 0.210 data_time: 0.011 memory: 5148 grad_norm: 10.0043 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0527 loss: 1.0527 2022/06/28 16:51:13 - mmengine - INFO - Epoch(train) [80][1060/3757] lr: 1.000e-03 eta: 5:44:07 time: 0.734 data_time: 0.007 memory: 5148 grad_norm: 8.0282 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1402 loss: 1.1402 2022/06/28 16:51:18 - mmengine - INFO - Epoch(train) [80][1080/3757] lr: 1.000e-03 eta: 5:44:02 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 8.5017 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3863 loss: 1.3863 2022/06/28 16:51:23 - mmengine - INFO - Epoch(train) [80][1100/3757] lr: 1.000e-03 eta: 5:43:56 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 9.6235 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.5266 loss: 1.5266 2022/06/28 16:51:28 - mmengine - INFO - Epoch(train) [80][1120/3757] lr: 1.000e-03 eta: 5:43:51 time: 0.245 data_time: 0.012 memory: 5148 grad_norm: 8.7426 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4307 loss: 1.4307 2022/06/28 16:51:34 - mmengine - INFO - Epoch(train) [80][1140/3757] lr: 1.000e-03 eta: 5:43:46 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 9.2303 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3641 loss: 1.3641 2022/06/28 16:51:39 - mmengine - INFO - Epoch(train) [80][1160/3757] lr: 1.000e-03 eta: 5:43:40 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 7.8363 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9731 loss: 0.9731 2022/06/28 16:51:44 - mmengine - INFO - Epoch(train) [80][1180/3757] lr: 1.000e-03 eta: 5:43:35 time: 0.273 data_time: 0.006 memory: 5148 grad_norm: 8.0487 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3462 loss: 1.3462 2022/06/28 16:51:49 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 16:51:49 - mmengine - INFO - Epoch(train) [80][1200/3757] lr: 1.000e-03 eta: 5:43:30 time: 0.207 data_time: 0.012 memory: 5148 grad_norm: 7.8980 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0362 loss: 1.0362 2022/06/28 16:51:55 - mmengine - INFO - Epoch(train) [80][1220/3757] lr: 1.000e-03 eta: 5:43:24 time: 0.209 data_time: 0.011 memory: 5148 grad_norm: 8.3216 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3398 loss: 1.3398 2022/06/28 16:52:00 - mmengine - INFO - Epoch(train) [80][1240/3757] lr: 1.000e-03 eta: 5:43:19 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 9.2472 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1696 loss: 1.1696 2022/06/28 16:52:05 - mmengine - INFO - Epoch(train) [80][1260/3757] lr: 1.000e-03 eta: 5:43:14 time: 0.205 data_time: 0.021 memory: 5148 grad_norm: 8.5276 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6487 loss: 1.6487 2022/06/28 16:52:11 - mmengine - INFO - Epoch(train) [80][1280/3757] lr: 1.000e-03 eta: 5:43:08 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 9.4047 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2795 loss: 1.2795 2022/06/28 16:52:15 - mmengine - INFO - Epoch(train) [80][1300/3757] lr: 1.000e-03 eta: 5:43:03 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 9.8201 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3150 loss: 1.3150 2022/06/28 16:52:21 - mmengine - INFO - Epoch(train) [80][1320/3757] lr: 1.000e-03 eta: 5:42:58 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 9.8805 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2672 loss: 1.2672 2022/06/28 16:52:26 - mmengine - INFO - Epoch(train) [80][1340/3757] lr: 1.000e-03 eta: 5:42:52 time: 0.199 data_time: 0.009 memory: 5148 grad_norm: 9.8775 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5876 loss: 1.5876 2022/06/28 16:52:31 - mmengine - INFO - Epoch(train) [80][1360/3757] lr: 1.000e-03 eta: 5:42:47 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 9.7255 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3589 loss: 1.3589 2022/06/28 16:52:37 - mmengine - INFO - Epoch(train) [80][1380/3757] lr: 1.000e-03 eta: 5:42:42 time: 0.199 data_time: 0.013 memory: 5148 grad_norm: 8.0487 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6871 loss: 1.6871 2022/06/28 16:52:42 - mmengine - INFO - Epoch(train) [80][1400/3757] lr: 1.000e-03 eta: 5:42:36 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 9.3952 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2940 loss: 1.2940 2022/06/28 16:52:47 - mmengine - INFO - Epoch(train) [80][1420/3757] lr: 1.000e-03 eta: 5:42:31 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 9.1153 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2242 loss: 1.2242 2022/06/28 16:52:52 - mmengine - INFO - Epoch(train) [80][1440/3757] lr: 1.000e-03 eta: 5:42:26 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 8.6083 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3880 loss: 1.3880 2022/06/28 16:52:57 - mmengine - INFO - Epoch(train) [80][1460/3757] lr: 1.000e-03 eta: 5:42:20 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 9.8242 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1865 loss: 1.1865 2022/06/28 16:53:03 - mmengine - INFO - Epoch(train) [80][1480/3757] lr: 1.000e-03 eta: 5:42:15 time: 0.205 data_time: 0.009 memory: 5148 grad_norm: 9.4488 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2580 loss: 1.2580 2022/06/28 16:53:09 - mmengine - INFO - Epoch(train) [80][1500/3757] lr: 1.000e-03 eta: 5:42:10 time: 0.204 data_time: 0.016 memory: 5148 grad_norm: 9.3023 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1520 loss: 1.1520 2022/06/28 16:53:14 - mmengine - INFO - Epoch(train) [80][1520/3757] lr: 1.000e-03 eta: 5:42:04 time: 0.211 data_time: 0.008 memory: 5148 grad_norm: 10.4099 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1207 loss: 1.1207 2022/06/28 16:53:19 - mmengine - INFO - Epoch(train) [80][1540/3757] lr: 1.000e-03 eta: 5:41:59 time: 0.196 data_time: 0.009 memory: 5148 grad_norm: 10.0250 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7855 loss: 1.7855 2022/06/28 16:53:24 - mmengine - INFO - Epoch(train) [80][1560/3757] lr: 1.000e-03 eta: 5:41:54 time: 0.201 data_time: 0.018 memory: 5148 grad_norm: 8.6235 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1272 loss: 1.1272 2022/06/28 16:53:29 - mmengine - INFO - Epoch(train) [80][1580/3757] lr: 1.000e-03 eta: 5:41:49 time: 0.422 data_time: 0.011 memory: 5148 grad_norm: 7.6188 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6154 loss: 1.6154 2022/06/28 16:53:35 - mmengine - INFO - Epoch(train) [80][1600/3757] lr: 1.000e-03 eta: 5:41:43 time: 0.230 data_time: 0.008 memory: 5148 grad_norm: 8.2922 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2324 loss: 1.2324 2022/06/28 16:53:40 - mmengine - INFO - Epoch(train) [80][1620/3757] lr: 1.000e-03 eta: 5:41:38 time: 0.208 data_time: 0.023 memory: 5148 grad_norm: 7.9560 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1472 loss: 1.1472 2022/06/28 16:53:45 - mmengine - INFO - Epoch(train) [80][1640/3757] lr: 1.000e-03 eta: 5:41:33 time: 0.331 data_time: 0.007 memory: 5148 grad_norm: 9.9608 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4589 loss: 1.4589 2022/06/28 16:53:50 - mmengine - INFO - Epoch(train) [80][1660/3757] lr: 1.000e-03 eta: 5:41:27 time: 0.210 data_time: 0.010 memory: 5148 grad_norm: 7.9824 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0203 loss: 1.0203 2022/06/28 16:53:56 - mmengine - INFO - Epoch(train) [80][1680/3757] lr: 1.000e-03 eta: 5:41:22 time: 0.216 data_time: 0.028 memory: 5148 grad_norm: 8.2997 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3387 loss: 1.3387 2022/06/28 16:54:01 - mmengine - INFO - Epoch(train) [80][1700/3757] lr: 1.000e-03 eta: 5:41:17 time: 0.435 data_time: 0.007 memory: 5148 grad_norm: 8.6247 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6616 loss: 1.6616 2022/06/28 16:54:06 - mmengine - INFO - Epoch(train) [80][1720/3757] lr: 1.000e-03 eta: 5:41:11 time: 0.211 data_time: 0.010 memory: 5148 grad_norm: 8.9984 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1351 loss: 1.1351 2022/06/28 16:54:12 - mmengine - INFO - Epoch(train) [80][1740/3757] lr: 1.000e-03 eta: 5:41:06 time: 0.203 data_time: 0.014 memory: 5148 grad_norm: 9.4771 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0082 loss: 1.0082 2022/06/28 16:54:17 - mmengine - INFO - Epoch(train) [80][1760/3757] lr: 1.000e-03 eta: 5:41:01 time: 0.775 data_time: 0.012 memory: 5148 grad_norm: 8.2480 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0918 loss: 1.0918 2022/06/28 16:54:22 - mmengine - INFO - Epoch(train) [80][1780/3757] lr: 1.000e-03 eta: 5:40:55 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 10.8945 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1653 loss: 1.1653 2022/06/28 16:54:28 - mmengine - INFO - Epoch(train) [80][1800/3757] lr: 1.000e-03 eta: 5:40:50 time: 0.214 data_time: 0.014 memory: 5148 grad_norm: 8.8151 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3583 loss: 1.3583 2022/06/28 16:54:33 - mmengine - INFO - Epoch(train) [80][1820/3757] lr: 1.000e-03 eta: 5:40:45 time: 0.917 data_time: 0.011 memory: 5148 grad_norm: 8.1193 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2066 loss: 1.2066 2022/06/28 16:54:37 - mmengine - INFO - Epoch(train) [80][1840/3757] lr: 1.000e-03 eta: 5:40:39 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 9.8568 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0050 loss: 1.0050 2022/06/28 16:54:43 - mmengine - INFO - Epoch(train) [80][1860/3757] lr: 1.000e-03 eta: 5:40:34 time: 0.210 data_time: 0.014 memory: 5148 grad_norm: 9.3280 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2671 loss: 1.2671 2022/06/28 16:54:49 - mmengine - INFO - Epoch(train) [80][1880/3757] lr: 1.000e-03 eta: 5:40:29 time: 0.728 data_time: 0.018 memory: 5148 grad_norm: 8.9715 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1890 loss: 1.1890 2022/06/28 16:54:54 - mmengine - INFO - Epoch(train) [80][1900/3757] lr: 1.000e-03 eta: 5:40:23 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 9.9556 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3813 loss: 1.3813 2022/06/28 16:54:59 - mmengine - INFO - Epoch(train) [80][1920/3757] lr: 1.000e-03 eta: 5:40:18 time: 0.206 data_time: 0.017 memory: 5148 grad_norm: 10.5358 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2059 loss: 1.2059 2022/06/28 16:55:04 - mmengine - INFO - Epoch(train) [80][1940/3757] lr: 1.000e-03 eta: 5:40:13 time: 0.541 data_time: 0.020 memory: 5148 grad_norm: 8.8187 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4980 loss: 1.4980 2022/06/28 16:55:09 - mmengine - INFO - Epoch(train) [80][1960/3757] lr: 1.000e-03 eta: 5:40:07 time: 0.215 data_time: 0.013 memory: 5148 grad_norm: 7.9034 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 0.9761 loss: 0.9761 2022/06/28 16:55:15 - mmengine - INFO - Epoch(train) [80][1980/3757] lr: 1.000e-03 eta: 5:40:02 time: 0.205 data_time: 0.021 memory: 5148 grad_norm: 7.7478 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1839 loss: 1.1839 2022/06/28 16:55:20 - mmengine - INFO - Epoch(train) [80][2000/3757] lr: 1.000e-03 eta: 5:39:57 time: 0.565 data_time: 0.010 memory: 5148 grad_norm: 9.1560 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1983 loss: 1.1983 2022/06/28 16:55:25 - mmengine - INFO - Epoch(train) [80][2020/3757] lr: 1.000e-03 eta: 5:39:51 time: 0.205 data_time: 0.018 memory: 5148 grad_norm: 8.8967 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0195 loss: 1.0195 2022/06/28 16:55:30 - mmengine - INFO - Epoch(train) [80][2040/3757] lr: 1.000e-03 eta: 5:39:46 time: 0.229 data_time: 0.033 memory: 5148 grad_norm: 7.1281 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3623 loss: 1.3623 2022/06/28 16:55:36 - mmengine - INFO - Epoch(train) [80][2060/3757] lr: 1.000e-03 eta: 5:39:41 time: 1.050 data_time: 0.011 memory: 5148 grad_norm: 7.2537 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2923 loss: 1.2923 2022/06/28 16:55:41 - mmengine - INFO - Epoch(train) [80][2080/3757] lr: 1.000e-03 eta: 5:39:35 time: 0.200 data_time: 0.015 memory: 5148 grad_norm: 9.6625 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2772 loss: 1.2772 2022/06/28 16:55:46 - mmengine - INFO - Epoch(train) [80][2100/3757] lr: 1.000e-03 eta: 5:39:30 time: 0.217 data_time: 0.022 memory: 5148 grad_norm: 9.2048 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4420 loss: 1.4420 2022/06/28 16:55:52 - mmengine - INFO - Epoch(train) [80][2120/3757] lr: 1.000e-03 eta: 5:39:25 time: 0.754 data_time: 0.008 memory: 5148 grad_norm: 7.7704 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4266 loss: 1.4266 2022/06/28 16:55:56 - mmengine - INFO - Epoch(train) [80][2140/3757] lr: 1.000e-03 eta: 5:39:19 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 9.7143 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2328 loss: 1.2328 2022/06/28 16:56:02 - mmengine - INFO - Epoch(train) [80][2160/3757] lr: 1.000e-03 eta: 5:39:14 time: 0.219 data_time: 0.040 memory: 5148 grad_norm: 10.5058 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4064 loss: 1.4064 2022/06/28 16:56:08 - mmengine - INFO - Epoch(train) [80][2180/3757] lr: 1.000e-03 eta: 5:39:09 time: 1.233 data_time: 0.007 memory: 5148 grad_norm: 9.3015 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2720 loss: 1.2720 2022/06/28 16:56:11 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 16:56:12 - mmengine - INFO - Epoch(train) [80][2200/3757] lr: 1.000e-03 eta: 5:39:03 time: 0.196 data_time: 0.009 memory: 5148 grad_norm: 8.4774 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0642 loss: 1.0642 2022/06/28 16:56:17 - mmengine - INFO - Epoch(train) [80][2220/3757] lr: 1.000e-03 eta: 5:38:58 time: 0.227 data_time: 0.025 memory: 5148 grad_norm: 8.2453 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1400 loss: 1.1400 2022/06/28 16:56:23 - mmengine - INFO - Epoch(train) [80][2240/3757] lr: 1.000e-03 eta: 5:38:53 time: 0.695 data_time: 0.008 memory: 5148 grad_norm: 8.1066 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2192 loss: 1.2192 2022/06/28 16:56:28 - mmengine - INFO - Epoch(train) [80][2260/3757] lr: 1.000e-03 eta: 5:38:48 time: 0.219 data_time: 0.007 memory: 5148 grad_norm: 6.8609 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8807 loss: 0.8807 2022/06/28 16:56:33 - mmengine - INFO - Epoch(train) [80][2280/3757] lr: 1.000e-03 eta: 5:38:42 time: 0.220 data_time: 0.012 memory: 5148 grad_norm: 8.3248 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4187 loss: 1.4187 2022/06/28 16:56:38 - mmengine - INFO - Epoch(train) [80][2300/3757] lr: 1.000e-03 eta: 5:38:37 time: 0.216 data_time: 0.008 memory: 5148 grad_norm: 9.6794 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5650 loss: 1.5650 2022/06/28 16:56:44 - mmengine - INFO - Epoch(train) [80][2320/3757] lr: 1.000e-03 eta: 5:38:32 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 9.4519 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4891 loss: 1.4891 2022/06/28 16:56:49 - mmengine - INFO - Epoch(train) [80][2340/3757] lr: 1.000e-03 eta: 5:38:26 time: 0.214 data_time: 0.013 memory: 5148 grad_norm: 9.8544 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3384 loss: 1.3384 2022/06/28 16:56:54 - mmengine - INFO - Epoch(train) [80][2360/3757] lr: 1.000e-03 eta: 5:38:21 time: 0.214 data_time: 0.008 memory: 5148 grad_norm: 8.9752 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7713 loss: 1.7713 2022/06/28 16:56:59 - mmengine - INFO - Epoch(train) [80][2380/3757] lr: 1.000e-03 eta: 5:38:16 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 8.4862 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3365 loss: 1.3365 2022/06/28 16:57:05 - mmengine - INFO - Epoch(train) [80][2400/3757] lr: 1.000e-03 eta: 5:38:10 time: 0.225 data_time: 0.007 memory: 5148 grad_norm: 8.9272 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5043 loss: 1.5043 2022/06/28 16:57:10 - mmengine - INFO - Epoch(train) [80][2420/3757] lr: 1.000e-03 eta: 5:38:05 time: 0.226 data_time: 0.007 memory: 5148 grad_norm: 8.8412 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3285 loss: 1.3285 2022/06/28 16:57:15 - mmengine - INFO - Epoch(train) [80][2440/3757] lr: 1.000e-03 eta: 5:38:00 time: 0.212 data_time: 0.013 memory: 5148 grad_norm: 8.4456 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2359 loss: 1.2359 2022/06/28 16:57:21 - mmengine - INFO - Epoch(train) [80][2460/3757] lr: 1.000e-03 eta: 5:37:54 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 9.0696 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3360 loss: 1.3360 2022/06/28 16:57:26 - mmengine - INFO - Epoch(train) [80][2480/3757] lr: 1.000e-03 eta: 5:37:49 time: 0.296 data_time: 0.010 memory: 5148 grad_norm: 9.7079 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3051 loss: 1.3051 2022/06/28 16:57:31 - mmengine - INFO - Epoch(train) [80][2500/3757] lr: 1.000e-03 eta: 5:37:44 time: 0.220 data_time: 0.010 memory: 5148 grad_norm: 8.0405 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3822 loss: 1.3822 2022/06/28 16:57:37 - mmengine - INFO - Epoch(train) [80][2520/3757] lr: 1.000e-03 eta: 5:37:38 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 7.6419 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4747 loss: 1.4747 2022/06/28 16:57:42 - mmengine - INFO - Epoch(train) [80][2540/3757] lr: 1.000e-03 eta: 5:37:33 time: 0.221 data_time: 0.007 memory: 5148 grad_norm: 9.2312 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3381 loss: 1.3381 2022/06/28 16:57:47 - mmengine - INFO - Epoch(train) [80][2560/3757] lr: 1.000e-03 eta: 5:37:28 time: 0.275 data_time: 0.020 memory: 5148 grad_norm: 8.4104 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6992 loss: 1.6992 2022/06/28 16:57:52 - mmengine - INFO - Epoch(train) [80][2580/3757] lr: 1.000e-03 eta: 5:37:22 time: 0.231 data_time: 0.014 memory: 5148 grad_norm: 7.7556 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6645 loss: 1.6645 2022/06/28 16:57:57 - mmengine - INFO - Epoch(train) [80][2600/3757] lr: 1.000e-03 eta: 5:37:17 time: 0.275 data_time: 0.007 memory: 5148 grad_norm: 8.5100 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2025 loss: 1.2025 2022/06/28 16:58:03 - mmengine - INFO - Epoch(train) [80][2620/3757] lr: 1.000e-03 eta: 5:37:12 time: 0.201 data_time: 0.024 memory: 5148 grad_norm: 8.9483 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4715 loss: 1.4715 2022/06/28 16:58:08 - mmengine - INFO - Epoch(train) [80][2640/3757] lr: 1.000e-03 eta: 5:37:06 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 8.3565 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1374 loss: 1.1374 2022/06/28 16:58:13 - mmengine - INFO - Epoch(train) [80][2660/3757] lr: 1.000e-03 eta: 5:37:01 time: 0.216 data_time: 0.008 memory: 5148 grad_norm: 7.9513 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8414 loss: 0.8414 2022/06/28 16:58:18 - mmengine - INFO - Epoch(train) [80][2680/3757] lr: 1.000e-03 eta: 5:36:56 time: 0.199 data_time: 0.021 memory: 5148 grad_norm: 7.8204 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0326 loss: 1.0326 2022/06/28 16:58:24 - mmengine - INFO - Epoch(train) [80][2700/3757] lr: 1.000e-03 eta: 5:36:51 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 9.0583 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4103 loss: 1.4103 2022/06/28 16:58:30 - mmengine - INFO - Epoch(train) [80][2720/3757] lr: 1.000e-03 eta: 5:36:45 time: 1.158 data_time: 0.007 memory: 5148 grad_norm: 8.7181 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5556 loss: 1.5556 2022/06/28 16:58:34 - mmengine - INFO - Epoch(train) [80][2740/3757] lr: 1.000e-03 eta: 5:36:40 time: 0.208 data_time: 0.018 memory: 5148 grad_norm: 10.7662 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2100 loss: 1.2100 2022/06/28 16:58:40 - mmengine - INFO - Epoch(train) [80][2760/3757] lr: 1.000e-03 eta: 5:36:35 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 7.4057 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1708 loss: 1.1708 2022/06/28 16:58:45 - mmengine - INFO - Epoch(train) [80][2780/3757] lr: 1.000e-03 eta: 5:36:29 time: 0.411 data_time: 0.007 memory: 5148 grad_norm: 10.0290 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3960 loss: 1.3960 2022/06/28 16:58:51 - mmengine - INFO - Epoch(train) [80][2800/3757] lr: 1.000e-03 eta: 5:36:24 time: 0.210 data_time: 0.023 memory: 5148 grad_norm: 8.8908 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2591 loss: 1.2591 2022/06/28 16:58:56 - mmengine - INFO - Epoch(train) [80][2820/3757] lr: 1.000e-03 eta: 5:36:19 time: 0.206 data_time: 0.019 memory: 5148 grad_norm: 10.5468 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2717 loss: 1.2717 2022/06/28 16:59:01 - mmengine - INFO - Epoch(train) [80][2840/3757] lr: 1.000e-03 eta: 5:36:13 time: 0.963 data_time: 0.007 memory: 5148 grad_norm: 10.1142 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1218 loss: 1.1218 2022/06/28 16:59:06 - mmengine - INFO - Epoch(train) [80][2860/3757] lr: 1.000e-03 eta: 5:36:08 time: 0.199 data_time: 0.013 memory: 5148 grad_norm: 9.6069 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1182 loss: 1.1182 2022/06/28 16:59:12 - mmengine - INFO - Epoch(train) [80][2880/3757] lr: 1.000e-03 eta: 5:36:03 time: 0.199 data_time: 0.012 memory: 5148 grad_norm: 6.6746 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6500 loss: 1.6500 2022/06/28 16:59:17 - mmengine - INFO - Epoch(train) [80][2900/3757] lr: 1.000e-03 eta: 5:35:57 time: 0.262 data_time: 0.006 memory: 5148 grad_norm: 10.3384 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1959 loss: 1.1959 2022/06/28 16:59:22 - mmengine - INFO - Epoch(train) [80][2920/3757] lr: 1.000e-03 eta: 5:35:52 time: 0.202 data_time: 0.017 memory: 5148 grad_norm: 9.6183 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8548 loss: 0.8548 2022/06/28 16:59:28 - mmengine - INFO - Epoch(train) [80][2940/3757] lr: 1.000e-03 eta: 5:35:47 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 7.8438 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1304 loss: 1.1304 2022/06/28 16:59:33 - mmengine - INFO - Epoch(train) [80][2960/3757] lr: 1.000e-03 eta: 5:35:42 time: 0.570 data_time: 0.016 memory: 5148 grad_norm: 8.6083 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1048 loss: 1.1048 2022/06/28 16:59:38 - mmengine - INFO - Epoch(train) [80][2980/3757] lr: 1.000e-03 eta: 5:35:36 time: 0.199 data_time: 0.022 memory: 5148 grad_norm: 8.9035 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0812 loss: 1.0812 2022/06/28 16:59:44 - mmengine - INFO - Epoch(train) [80][3000/3757] lr: 1.000e-03 eta: 5:35:31 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 9.6254 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5053 loss: 1.5053 2022/06/28 16:59:49 - mmengine - INFO - Epoch(train) [80][3020/3757] lr: 1.000e-03 eta: 5:35:26 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 8.4492 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9389 loss: 0.9389 2022/06/28 16:59:55 - mmengine - INFO - Epoch(train) [80][3040/3757] lr: 1.000e-03 eta: 5:35:20 time: 0.199 data_time: 0.023 memory: 5148 grad_norm: 8.6108 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6114 loss: 1.6114 2022/06/28 17:00:00 - mmengine - INFO - Epoch(train) [80][3060/3757] lr: 1.000e-03 eta: 5:35:15 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 10.7816 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3827 loss: 1.3827 2022/06/28 17:00:05 - mmengine - INFO - Epoch(train) [80][3080/3757] lr: 1.000e-03 eta: 5:35:10 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 10.3458 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5503 loss: 1.5503 2022/06/28 17:00:11 - mmengine - INFO - Epoch(train) [80][3100/3757] lr: 1.000e-03 eta: 5:35:05 time: 0.204 data_time: 0.013 memory: 5148 grad_norm: 7.3935 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1517 loss: 1.1517 2022/06/28 17:00:17 - mmengine - INFO - Epoch(train) [80][3120/3757] lr: 1.000e-03 eta: 5:34:59 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 9.0146 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7106 loss: 1.7106 2022/06/28 17:00:22 - mmengine - INFO - Epoch(train) [80][3140/3757] lr: 1.000e-03 eta: 5:34:54 time: 0.197 data_time: 0.015 memory: 5148 grad_norm: 8.5911 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1764 loss: 1.1764 2022/06/28 17:00:27 - mmengine - INFO - Epoch(train) [80][3160/3757] lr: 1.000e-03 eta: 5:34:49 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 9.3803 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5126 loss: 1.5126 2022/06/28 17:00:32 - mmengine - INFO - Epoch(train) [80][3180/3757] lr: 1.000e-03 eta: 5:34:43 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 8.4484 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3609 loss: 1.3609 2022/06/28 17:00:37 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 17:00:38 - mmengine - INFO - Epoch(train) [80][3200/3757] lr: 1.000e-03 eta: 5:34:38 time: 0.443 data_time: 0.024 memory: 5148 grad_norm: 9.0685 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3373 loss: 1.3373 2022/06/28 17:00:43 - mmengine - INFO - Epoch(train) [80][3220/3757] lr: 1.000e-03 eta: 5:34:33 time: 0.228 data_time: 0.007 memory: 5148 grad_norm: 7.7395 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8037 loss: 1.8037 2022/06/28 17:00:48 - mmengine - INFO - Epoch(train) [80][3240/3757] lr: 1.000e-03 eta: 5:34:27 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 9.6641 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3647 loss: 1.3647 2022/06/28 17:00:54 - mmengine - INFO - Epoch(train) [80][3260/3757] lr: 1.000e-03 eta: 5:34:22 time: 0.709 data_time: 0.007 memory: 5148 grad_norm: 7.1538 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0845 loss: 1.0845 2022/06/28 17:00:59 - mmengine - INFO - Epoch(train) [80][3280/3757] lr: 1.000e-03 eta: 5:34:17 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 8.3369 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2474 loss: 1.2474 2022/06/28 17:01:04 - mmengine - INFO - Epoch(train) [80][3300/3757] lr: 1.000e-03 eta: 5:34:12 time: 0.206 data_time: 0.021 memory: 5148 grad_norm: 8.4370 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4213 loss: 1.4213 2022/06/28 17:01:10 - mmengine - INFO - Epoch(train) [80][3320/3757] lr: 1.000e-03 eta: 5:34:06 time: 0.536 data_time: 0.008 memory: 5148 grad_norm: 8.8698 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0121 loss: 1.0121 2022/06/28 17:01:15 - mmengine - INFO - Epoch(train) [80][3340/3757] lr: 1.000e-03 eta: 5:34:01 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 8.8256 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2431 loss: 1.2431 2022/06/28 17:01:21 - mmengine - INFO - Epoch(train) [80][3360/3757] lr: 1.000e-03 eta: 5:33:56 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 9.3877 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2953 loss: 1.2953 2022/06/28 17:01:26 - mmengine - INFO - Epoch(train) [80][3380/3757] lr: 1.000e-03 eta: 5:33:50 time: 0.647 data_time: 0.011 memory: 5148 grad_norm: 8.6746 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8707 loss: 1.8707 2022/06/28 17:01:31 - mmengine - INFO - Epoch(train) [80][3400/3757] lr: 1.000e-03 eta: 5:33:45 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 8.9058 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0327 loss: 1.0327 2022/06/28 17:01:37 - mmengine - INFO - Epoch(train) [80][3420/3757] lr: 1.000e-03 eta: 5:33:40 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 10.1476 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0776 loss: 1.0776 2022/06/28 17:01:43 - mmengine - INFO - Epoch(train) [80][3440/3757] lr: 1.000e-03 eta: 5:33:35 time: 1.102 data_time: 0.011 memory: 5148 grad_norm: 7.9159 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6315 loss: 1.6315 2022/06/28 17:01:47 - mmengine - INFO - Epoch(train) [80][3460/3757] lr: 1.000e-03 eta: 5:33:29 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 8.0010 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1552 loss: 1.1552 2022/06/28 17:01:52 - mmengine - INFO - Epoch(train) [80][3480/3757] lr: 1.000e-03 eta: 5:33:24 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 10.6473 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3213 loss: 1.3213 2022/06/28 17:01:58 - mmengine - INFO - Epoch(train) [80][3500/3757] lr: 1.000e-03 eta: 5:33:19 time: 0.909 data_time: 0.008 memory: 5148 grad_norm: 9.4656 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9907 loss: 0.9907 2022/06/28 17:02:03 - mmengine - INFO - Epoch(train) [80][3520/3757] lr: 1.000e-03 eta: 5:33:13 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 8.8563 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3477 loss: 1.3477 2022/06/28 17:02:09 - mmengine - INFO - Epoch(train) [80][3540/3757] lr: 1.000e-03 eta: 5:33:08 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 9.3479 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5065 loss: 1.5065 2022/06/28 17:02:14 - mmengine - INFO - Epoch(train) [80][3560/3757] lr: 1.000e-03 eta: 5:33:03 time: 0.705 data_time: 0.010 memory: 5148 grad_norm: 10.8215 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0246 loss: 1.0246 2022/06/28 17:02:19 - mmengine - INFO - Epoch(train) [80][3580/3757] lr: 1.000e-03 eta: 5:32:57 time: 0.211 data_time: 0.011 memory: 5148 grad_norm: 9.0412 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5204 loss: 1.5204 2022/06/28 17:02:24 - mmengine - INFO - Epoch(train) [80][3600/3757] lr: 1.000e-03 eta: 5:32:52 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 7.8753 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3156 loss: 1.3156 2022/06/28 17:02:30 - mmengine - INFO - Epoch(train) [80][3620/3757] lr: 1.000e-03 eta: 5:32:47 time: 0.844 data_time: 0.017 memory: 5148 grad_norm: 8.3698 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1981 loss: 1.1981 2022/06/28 17:02:34 - mmengine - INFO - Epoch(train) [80][3640/3757] lr: 1.000e-03 eta: 5:32:41 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 8.1279 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1753 loss: 1.1753 2022/06/28 17:02:40 - mmengine - INFO - Epoch(train) [80][3660/3757] lr: 1.000e-03 eta: 5:32:36 time: 0.227 data_time: 0.010 memory: 5148 grad_norm: 10.3516 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4814 loss: 1.4814 2022/06/28 17:02:46 - mmengine - INFO - Epoch(train) [80][3680/3757] lr: 1.000e-03 eta: 5:32:31 time: 0.942 data_time: 0.010 memory: 5148 grad_norm: 8.3321 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1727 loss: 1.1727 2022/06/28 17:02:51 - mmengine - INFO - Epoch(train) [80][3700/3757] lr: 1.000e-03 eta: 5:32:25 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 9.8282 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4596 loss: 1.4596 2022/06/28 17:02:56 - mmengine - INFO - Epoch(train) [80][3720/3757] lr: 1.000e-03 eta: 5:32:20 time: 0.691 data_time: 0.010 memory: 5148 grad_norm: 9.1671 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4317 loss: 1.4317 2022/06/28 17:03:01 - mmengine - INFO - Epoch(train) [80][3740/3757] lr: 1.000e-03 eta: 5:32:15 time: 0.336 data_time: 0.010 memory: 5148 grad_norm: 9.7693 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2681 loss: 1.2681 2022/06/28 17:03:05 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 17:03:05 - mmengine - INFO - Saving checkpoint at 80 epochs 2022/06/28 17:03:14 - mmengine - INFO - Epoch(val) [80][20/310] eta: 0:01:13 time: 0.194 data_time: 0.122 memory: 5148 2022/06/28 17:03:18 - mmengine - INFO - Epoch(val) [80][40/310] eta: 0:01:01 time: 0.081 data_time: 0.009 memory: 1367 2022/06/28 17:03:24 - mmengine - INFO - Epoch(val) [80][60/310] eta: 0:00:56 time: 0.079 data_time: 0.008 memory: 1367 2022/06/28 17:03:29 - mmengine - INFO - Epoch(val) [80][80/310] eta: 0:01:03 time: 0.356 data_time: 0.278 memory: 1367 2022/06/28 17:03:34 - mmengine - INFO - Epoch(val) [80][100/310] eta: 0:00:45 time: 0.080 data_time: 0.008 memory: 1367 2022/06/28 17:03:40 - mmengine - INFO - Epoch(val) [80][120/310] eta: 0:00:58 time: 0.774 data_time: 0.702 memory: 1367 2022/06/28 17:03:46 - mmengine - INFO - Epoch(val) [80][140/310] eta: 0:00:53 time: 0.653 data_time: 0.580 memory: 1367 2022/06/28 17:03:51 - mmengine - INFO - Epoch(val) [80][160/310] eta: 0:00:41 time: 0.666 data_time: 0.585 memory: 1367 2022/06/28 17:03:56 - mmengine - INFO - Epoch(val) [80][180/310] eta: 0:00:44 time: 1.226 data_time: 1.149 memory: 1367 2022/06/28 17:04:01 - mmengine - INFO - Epoch(val) [80][200/310] eta: 0:00:25 time: 0.089 data_time: 0.011 memory: 1367 2022/06/28 17:04:07 - mmengine - INFO - Epoch(val) [80][220/310] eta: 0:00:32 time: 0.313 data_time: 0.241 memory: 1367 2022/06/28 17:04:11 - mmengine - INFO - Epoch(val) [80][240/310] eta: 0:00:14 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 17:04:17 - mmengine - INFO - Epoch(val) [80][260/310] eta: 0:00:18 time: 0.394 data_time: 0.317 memory: 1367 2022/06/28 17:04:22 - mmengine - INFO - Epoch(val) [80][280/310] eta: 0:00:07 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 17:04:27 - mmengine - INFO - Epoch(val) [80][300/310] eta: 0:00:02 time: 0.503 data_time: 0.423 memory: 1367 2022/06/28 17:04:29 - mmengine - INFO - Epoch(val) [80][310/310] acc/top1: 0.6490 acc/top5: 0.8568 acc/mean1: 0.6489 2022/06/28 17:04:38 - mmengine - INFO - Epoch(train) [81][20/3757] lr: 1.000e-04 eta: 5:32:05 time: 0.231 data_time: 0.007 memory: 5148 grad_norm: 10.1455 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2769 loss: 1.2769 2022/06/28 17:04:44 - mmengine - INFO - Epoch(train) [81][40/3757] lr: 1.000e-04 eta: 5:32:00 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 8.7725 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2829 loss: 1.2829 2022/06/28 17:04:48 - mmengine - INFO - Epoch(train) [81][60/3757] lr: 1.000e-04 eta: 5:31:55 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 8.8814 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3266 loss: 1.3266 2022/06/28 17:04:55 - mmengine - INFO - Epoch(train) [81][80/3757] lr: 1.000e-04 eta: 5:31:49 time: 0.198 data_time: 0.009 memory: 5148 grad_norm: 9.5042 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8754 loss: 0.8754 2022/06/28 17:05:00 - mmengine - INFO - Epoch(train) [81][100/3757] lr: 1.000e-04 eta: 5:31:44 time: 0.298 data_time: 0.008 memory: 5148 grad_norm: 7.8283 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0599 loss: 1.0599 2022/06/28 17:05:05 - mmengine - INFO - Epoch(train) [81][120/3757] lr: 1.000e-04 eta: 5:31:39 time: 0.192 data_time: 0.008 memory: 5148 grad_norm: 8.4978 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1797 loss: 1.1797 2022/06/28 17:05:10 - mmengine - INFO - Epoch(train) [81][140/3757] lr: 1.000e-04 eta: 5:31:33 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 9.3469 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6552 loss: 1.6552 2022/06/28 17:05:16 - mmengine - INFO - Epoch(train) [81][160/3757] lr: 1.000e-04 eta: 5:31:28 time: 0.229 data_time: 0.007 memory: 5148 grad_norm: 9.0993 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1332 loss: 1.1332 2022/06/28 17:05:21 - mmengine - INFO - Epoch(train) [81][180/3757] lr: 1.000e-04 eta: 5:31:23 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 7.6795 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3622 loss: 1.3622 2022/06/28 17:05:27 - mmengine - INFO - Epoch(train) [81][200/3757] lr: 1.000e-04 eta: 5:31:18 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 7.7260 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0959 loss: 1.0959 2022/06/28 17:05:33 - mmengine - INFO - Epoch(train) [81][220/3757] lr: 1.000e-04 eta: 5:31:12 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 6.5004 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1125 loss: 1.1125 2022/06/28 17:05:38 - mmengine - INFO - Epoch(train) [81][240/3757] lr: 1.000e-04 eta: 5:31:07 time: 0.266 data_time: 0.007 memory: 5148 grad_norm: 7.4863 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9948 loss: 0.9948 2022/06/28 17:05:43 - mmengine - INFO - Epoch(train) [81][260/3757] lr: 1.000e-04 eta: 5:31:02 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 8.4886 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0736 loss: 1.0736 2022/06/28 17:05:48 - mmengine - INFO - Epoch(train) [81][280/3757] lr: 1.000e-04 eta: 5:30:56 time: 0.226 data_time: 0.007 memory: 5148 grad_norm: 8.9222 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1260 loss: 1.1260 2022/06/28 17:05:53 - mmengine - INFO - Epoch(train) [81][300/3757] lr: 1.000e-04 eta: 5:30:51 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 10.1836 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6107 loss: 1.6107 2022/06/28 17:05:59 - mmengine - INFO - Epoch(train) [81][320/3757] lr: 1.000e-04 eta: 5:30:46 time: 0.200 data_time: 0.009 memory: 5148 grad_norm: 9.7830 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2132 loss: 1.2132 2022/06/28 17:06:04 - mmengine - INFO - Epoch(train) [81][340/3757] lr: 1.000e-04 eta: 5:30:40 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 10.5896 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4500 loss: 1.4500 2022/06/28 17:06:09 - mmengine - INFO - Epoch(train) [81][360/3757] lr: 1.000e-04 eta: 5:30:35 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 8.3482 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2758 loss: 1.2758 2022/06/28 17:06:15 - mmengine - INFO - Epoch(train) [81][380/3757] lr: 1.000e-04 eta: 5:30:30 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 8.5476 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0036 loss: 1.0036 2022/06/28 17:06:21 - mmengine - INFO - Epoch(train) [81][400/3757] lr: 1.000e-04 eta: 5:30:25 time: 0.220 data_time: 0.008 memory: 5148 grad_norm: 8.3414 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2692 loss: 1.2692 2022/06/28 17:06:26 - mmengine - INFO - Epoch(train) [81][420/3757] lr: 1.000e-04 eta: 5:30:19 time: 0.208 data_time: 0.009 memory: 5148 grad_norm: 8.0311 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5501 loss: 1.5501 2022/06/28 17:06:31 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 17:06:31 - mmengine - INFO - Epoch(train) [81][440/3757] lr: 1.000e-04 eta: 5:30:14 time: 0.216 data_time: 0.008 memory: 5148 grad_norm: 8.8680 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9032 loss: 0.9032 2022/06/28 17:06:37 - mmengine - INFO - Epoch(train) [81][460/3757] lr: 1.000e-04 eta: 5:30:09 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 8.8369 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2154 loss: 1.2154 2022/06/28 17:06:41 - mmengine - INFO - Epoch(train) [81][480/3757] lr: 1.000e-04 eta: 5:30:03 time: 0.208 data_time: 0.012 memory: 5148 grad_norm: 8.4258 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0556 loss: 1.0556 2022/06/28 17:06:47 - mmengine - INFO - Epoch(train) [81][500/3757] lr: 1.000e-04 eta: 5:29:58 time: 0.206 data_time: 0.006 memory: 5148 grad_norm: 8.7759 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0995 loss: 1.0995 2022/06/28 17:06:53 - mmengine - INFO - Epoch(train) [81][520/3757] lr: 1.000e-04 eta: 5:29:53 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 9.1167 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2528 loss: 1.2528 2022/06/28 17:06:58 - mmengine - INFO - Epoch(train) [81][540/3757] lr: 1.000e-04 eta: 5:29:48 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 8.1861 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9285 loss: 0.9285 2022/06/28 17:07:03 - mmengine - INFO - Epoch(train) [81][560/3757] lr: 1.000e-04 eta: 5:29:42 time: 0.206 data_time: 0.006 memory: 5148 grad_norm: 8.4719 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2919 loss: 1.2919 2022/06/28 17:07:08 - mmengine - INFO - Epoch(train) [81][580/3757] lr: 1.000e-04 eta: 5:29:37 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 8.0941 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2343 loss: 1.2343 2022/06/28 17:07:14 - mmengine - INFO - Epoch(train) [81][600/3757] lr: 1.000e-04 eta: 5:29:32 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 10.1163 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5309 loss: 1.5309 2022/06/28 17:07:19 - mmengine - INFO - Epoch(train) [81][620/3757] lr: 1.000e-04 eta: 5:29:26 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 8.6141 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4158 loss: 1.4158 2022/06/28 17:07:24 - mmengine - INFO - Epoch(train) [81][640/3757] lr: 1.000e-04 eta: 5:29:21 time: 0.213 data_time: 0.008 memory: 5148 grad_norm: 9.7210 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1422 loss: 1.1422 2022/06/28 17:07:30 - mmengine - INFO - Epoch(train) [81][660/3757] lr: 1.000e-04 eta: 5:29:16 time: 0.217 data_time: 0.008 memory: 5148 grad_norm: 7.7927 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2312 loss: 1.2312 2022/06/28 17:07:35 - mmengine - INFO - Epoch(train) [81][680/3757] lr: 1.000e-04 eta: 5:29:10 time: 0.205 data_time: 0.014 memory: 5148 grad_norm: 8.6613 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0414 loss: 1.0414 2022/06/28 17:07:41 - mmengine - INFO - Epoch(train) [81][700/3757] lr: 1.000e-04 eta: 5:29:05 time: 0.193 data_time: 0.006 memory: 5148 grad_norm: 8.3460 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1997 loss: 1.1997 2022/06/28 17:07:45 - mmengine - INFO - Epoch(train) [81][720/3757] lr: 1.000e-04 eta: 5:29:00 time: 0.193 data_time: 0.011 memory: 5148 grad_norm: 7.4342 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3003 loss: 1.3003 2022/06/28 17:07:51 - mmengine - INFO - Epoch(train) [81][740/3757] lr: 1.000e-04 eta: 5:28:55 time: 0.214 data_time: 0.012 memory: 5148 grad_norm: 8.4597 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2483 loss: 1.2483 2022/06/28 17:07:56 - mmengine - INFO - Epoch(train) [81][760/3757] lr: 1.000e-04 eta: 5:28:49 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 10.7340 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0425 loss: 1.0425 2022/06/28 17:08:02 - mmengine - INFO - Epoch(train) [81][780/3757] lr: 1.000e-04 eta: 5:28:44 time: 0.205 data_time: 0.018 memory: 5148 grad_norm: 9.0406 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3516 loss: 1.3516 2022/06/28 17:08:07 - mmengine - INFO - Epoch(train) [81][800/3757] lr: 1.000e-04 eta: 5:28:39 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 7.5252 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1565 loss: 1.1565 2022/06/28 17:08:12 - mmengine - INFO - Epoch(train) [81][820/3757] lr: 1.000e-04 eta: 5:28:33 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 7.1494 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9350 loss: 0.9350 2022/06/28 17:08:18 - mmengine - INFO - Epoch(train) [81][840/3757] lr: 1.000e-04 eta: 5:28:28 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 8.1169 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1371 loss: 1.1371 2022/06/28 17:08:23 - mmengine - INFO - Epoch(train) [81][860/3757] lr: 1.000e-04 eta: 5:28:23 time: 0.208 data_time: 0.009 memory: 5148 grad_norm: 9.4098 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0538 loss: 1.0538 2022/06/28 17:08:29 - mmengine - INFO - Epoch(train) [81][880/3757] lr: 1.000e-04 eta: 5:28:18 time: 0.218 data_time: 0.011 memory: 5148 grad_norm: 10.5158 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0752 loss: 1.0752 2022/06/28 17:08:34 - mmengine - INFO - Epoch(train) [81][900/3757] lr: 1.000e-04 eta: 5:28:12 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 8.6848 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1668 loss: 1.1668 2022/06/28 17:08:39 - mmengine - INFO - Epoch(train) [81][920/3757] lr: 1.000e-04 eta: 5:28:07 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 8.4458 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9277 loss: 0.9277 2022/06/28 17:08:45 - mmengine - INFO - Epoch(train) [81][940/3757] lr: 1.000e-04 eta: 5:28:02 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 9.3461 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6970 loss: 1.6970 2022/06/28 17:08:50 - mmengine - INFO - Epoch(train) [81][960/3757] lr: 1.000e-04 eta: 5:27:56 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 10.4531 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5404 loss: 1.5404 2022/06/28 17:08:55 - mmengine - INFO - Epoch(train) [81][980/3757] lr: 1.000e-04 eta: 5:27:51 time: 0.211 data_time: 0.019 memory: 5148 grad_norm: 9.1456 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3927 loss: 1.3927 2022/06/28 17:09:01 - mmengine - INFO - Epoch(train) [81][1000/3757] lr: 1.000e-04 eta: 5:27:46 time: 0.212 data_time: 0.013 memory: 5148 grad_norm: 10.3499 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2496 loss: 1.2496 2022/06/28 17:09:05 - mmengine - INFO - Epoch(train) [81][1020/3757] lr: 1.000e-04 eta: 5:27:40 time: 0.210 data_time: 0.011 memory: 5148 grad_norm: 8.1463 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1018 loss: 1.1018 2022/06/28 17:09:12 - mmengine - INFO - Epoch(train) [81][1040/3757] lr: 1.000e-04 eta: 5:27:35 time: 0.210 data_time: 0.013 memory: 5148 grad_norm: 8.2674 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1249 loss: 1.1249 2022/06/28 17:09:16 - mmengine - INFO - Epoch(train) [81][1060/3757] lr: 1.000e-04 eta: 5:27:30 time: 0.210 data_time: 0.013 memory: 5148 grad_norm: 8.1657 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4864 loss: 1.4864 2022/06/28 17:09:21 - mmengine - INFO - Epoch(train) [81][1080/3757] lr: 1.000e-04 eta: 5:27:24 time: 0.212 data_time: 0.011 memory: 5148 grad_norm: 8.3539 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2117 loss: 1.2117 2022/06/28 17:09:26 - mmengine - INFO - Epoch(train) [81][1100/3757] lr: 1.000e-04 eta: 5:27:19 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 8.2147 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0839 loss: 1.0839 2022/06/28 17:09:32 - mmengine - INFO - Epoch(train) [81][1120/3757] lr: 1.000e-04 eta: 5:27:14 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 8.9951 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0106 loss: 1.0106 2022/06/28 17:09:37 - mmengine - INFO - Epoch(train) [81][1140/3757] lr: 1.000e-04 eta: 5:27:08 time: 0.214 data_time: 0.019 memory: 5148 grad_norm: 9.5673 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6900 loss: 0.6900 2022/06/28 17:09:42 - mmengine - INFO - Epoch(train) [81][1160/3757] lr: 1.000e-04 eta: 5:27:03 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 9.4503 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.4132 loss: 1.4132 2022/06/28 17:09:48 - mmengine - INFO - Epoch(train) [81][1180/3757] lr: 1.000e-04 eta: 5:26:58 time: 0.197 data_time: 0.012 memory: 5148 grad_norm: 9.3647 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1805 loss: 1.1805 2022/06/28 17:09:52 - mmengine - INFO - Epoch(train) [81][1200/3757] lr: 1.000e-04 eta: 5:26:52 time: 0.465 data_time: 0.006 memory: 5148 grad_norm: 8.1001 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0771 loss: 1.0771 2022/06/28 17:09:58 - mmengine - INFO - Epoch(train) [81][1220/3757] lr: 1.000e-04 eta: 5:26:47 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 6.5549 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9478 loss: 0.9478 2022/06/28 17:10:03 - mmengine - INFO - Epoch(train) [81][1240/3757] lr: 1.000e-04 eta: 5:26:42 time: 0.201 data_time: 0.018 memory: 5148 grad_norm: 7.4608 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4874 loss: 1.4874 2022/06/28 17:10:09 - mmengine - INFO - Epoch(train) [81][1260/3757] lr: 1.000e-04 eta: 5:26:36 time: 0.474 data_time: 0.008 memory: 5148 grad_norm: 8.8915 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3691 loss: 1.3691 2022/06/28 17:10:14 - mmengine - INFO - Epoch(train) [81][1280/3757] lr: 1.000e-04 eta: 5:26:31 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 9.0213 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2309 loss: 1.2309 2022/06/28 17:10:19 - mmengine - INFO - Epoch(train) [81][1300/3757] lr: 1.000e-04 eta: 5:26:26 time: 0.210 data_time: 0.020 memory: 5148 grad_norm: 7.2797 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1018 loss: 1.1018 2022/06/28 17:10:24 - mmengine - INFO - Epoch(train) [81][1320/3757] lr: 1.000e-04 eta: 5:26:20 time: 0.220 data_time: 0.010 memory: 5148 grad_norm: 7.6771 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1141 loss: 1.1141 2022/06/28 17:10:30 - mmengine - INFO - Epoch(train) [81][1340/3757] lr: 1.000e-04 eta: 5:26:15 time: 0.209 data_time: 0.010 memory: 5148 grad_norm: 8.0363 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6362 loss: 1.6362 2022/06/28 17:10:35 - mmengine - INFO - Epoch(train) [81][1360/3757] lr: 1.000e-04 eta: 5:26:10 time: 0.201 data_time: 0.021 memory: 5148 grad_norm: 10.3912 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9822 loss: 0.9822 2022/06/28 17:10:40 - mmengine - INFO - Epoch(train) [81][1380/3757] lr: 1.000e-04 eta: 5:26:05 time: 0.213 data_time: 0.015 memory: 5148 grad_norm: 9.8482 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3657 loss: 1.3657 2022/06/28 17:10:47 - mmengine - INFO - Epoch(train) [81][1400/3757] lr: 1.000e-04 eta: 5:25:59 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 8.1052 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0740 loss: 1.0740 2022/06/28 17:10:52 - mmengine - INFO - Epoch(train) [81][1420/3757] lr: 1.000e-04 eta: 5:25:54 time: 0.214 data_time: 0.010 memory: 5148 grad_norm: 10.1218 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6049 loss: 1.6049 2022/06/28 17:10:57 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 17:10:57 - mmengine - INFO - Epoch(train) [81][1440/3757] lr: 1.000e-04 eta: 5:25:49 time: 0.221 data_time: 0.008 memory: 5148 grad_norm: 8.1969 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9970 loss: 0.9970 2022/06/28 17:11:02 - mmengine - INFO - Epoch(train) [81][1460/3757] lr: 1.000e-04 eta: 5:25:43 time: 0.196 data_time: 0.015 memory: 5148 grad_norm: 8.9591 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 0.9588 loss: 0.9588 2022/06/28 17:11:07 - mmengine - INFO - Epoch(train) [81][1480/3757] lr: 1.000e-04 eta: 5:25:38 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 9.1256 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8331 loss: 0.8331 2022/06/28 17:11:13 - mmengine - INFO - Epoch(train) [81][1500/3757] lr: 1.000e-04 eta: 5:25:33 time: 0.227 data_time: 0.008 memory: 5148 grad_norm: 8.8454 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0099 loss: 1.0099 2022/06/28 17:11:19 - mmengine - INFO - Epoch(train) [81][1520/3757] lr: 1.000e-04 eta: 5:25:28 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 8.1479 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7998 loss: 1.7998 2022/06/28 17:11:23 - mmengine - INFO - Epoch(train) [81][1540/3757] lr: 1.000e-04 eta: 5:25:22 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 8.0201 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2042 loss: 1.2042 2022/06/28 17:11:29 - mmengine - INFO - Epoch(train) [81][1560/3757] lr: 1.000e-04 eta: 5:25:17 time: 0.248 data_time: 0.008 memory: 5148 grad_norm: 8.6817 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3318 loss: 1.3318 2022/06/28 17:11:34 - mmengine - INFO - Epoch(train) [81][1580/3757] lr: 1.000e-04 eta: 5:25:12 time: 0.207 data_time: 0.013 memory: 5148 grad_norm: 9.9298 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1369 loss: 1.1369 2022/06/28 17:11:39 - mmengine - INFO - Epoch(train) [81][1600/3757] lr: 1.000e-04 eta: 5:25:06 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 8.2610 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8082 loss: 0.8082 2022/06/28 17:11:45 - mmengine - INFO - Epoch(train) [81][1620/3757] lr: 1.000e-04 eta: 5:25:01 time: 0.216 data_time: 0.011 memory: 5148 grad_norm: 8.5626 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7787 loss: 1.7787 2022/06/28 17:11:50 - mmengine - INFO - Epoch(train) [81][1640/3757] lr: 1.000e-04 eta: 5:24:56 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 6.4934 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6063 loss: 1.6063 2022/06/28 17:11:55 - mmengine - INFO - Epoch(train) [81][1660/3757] lr: 1.000e-04 eta: 5:24:50 time: 0.207 data_time: 0.006 memory: 5148 grad_norm: 8.0277 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6651 loss: 1.6651 2022/06/28 17:12:01 - mmengine - INFO - Epoch(train) [81][1680/3757] lr: 1.000e-04 eta: 5:24:45 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 9.4977 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.1961 loss: 1.1961 2022/06/28 17:12:06 - mmengine - INFO - Epoch(train) [81][1700/3757] lr: 1.000e-04 eta: 5:24:40 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 8.5586 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3364 loss: 1.3364 2022/06/28 17:12:11 - mmengine - INFO - Epoch(train) [81][1720/3757] lr: 1.000e-04 eta: 5:24:34 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 9.6715 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2223 loss: 1.2223 2022/06/28 17:12:16 - mmengine - INFO - Epoch(train) [81][1740/3757] lr: 1.000e-04 eta: 5:24:29 time: 0.215 data_time: 0.006 memory: 5148 grad_norm: 8.7521 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1546 loss: 1.1546 2022/06/28 17:12:22 - mmengine - INFO - Epoch(train) [81][1760/3757] lr: 1.000e-04 eta: 5:24:24 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 8.4641 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0811 loss: 1.0811 2022/06/28 17:12:27 - mmengine - INFO - Epoch(train) [81][1780/3757] lr: 1.000e-04 eta: 5:24:18 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 7.6727 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2397 loss: 1.2397 2022/06/28 17:12:32 - mmengine - INFO - Epoch(train) [81][1800/3757] lr: 1.000e-04 eta: 5:24:13 time: 0.195 data_time: 0.009 memory: 5148 grad_norm: 8.9246 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5402 loss: 1.5402 2022/06/28 17:12:38 - mmengine - INFO - Epoch(train) [81][1820/3757] lr: 1.000e-04 eta: 5:24:08 time: 0.204 data_time: 0.021 memory: 5148 grad_norm: 8.9171 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4250 loss: 1.4250 2022/06/28 17:12:43 - mmengine - INFO - Epoch(train) [81][1840/3757] lr: 1.000e-04 eta: 5:24:03 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 10.5593 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2635 loss: 1.2635 2022/06/28 17:12:48 - mmengine - INFO - Epoch(train) [81][1860/3757] lr: 1.000e-04 eta: 5:23:57 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 8.4668 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3178 loss: 1.3178 2022/06/28 17:12:54 - mmengine - INFO - Epoch(train) [81][1880/3757] lr: 1.000e-04 eta: 5:23:52 time: 0.214 data_time: 0.020 memory: 5148 grad_norm: 9.4324 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3428 loss: 1.3428 2022/06/28 17:12:59 - mmengine - INFO - Epoch(train) [81][1900/3757] lr: 1.000e-04 eta: 5:23:47 time: 0.205 data_time: 0.013 memory: 5148 grad_norm: 7.5061 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2328 loss: 1.2328 2022/06/28 17:13:05 - mmengine - INFO - Epoch(train) [81][1920/3757] lr: 1.000e-04 eta: 5:23:41 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 8.2239 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0097 loss: 1.0097 2022/06/28 17:13:10 - mmengine - INFO - Epoch(train) [81][1940/3757] lr: 1.000e-04 eta: 5:23:36 time: 0.211 data_time: 0.008 memory: 5148 grad_norm: 9.0997 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2819 loss: 1.2819 2022/06/28 17:13:15 - mmengine - INFO - Epoch(train) [81][1960/3757] lr: 1.000e-04 eta: 5:23:31 time: 0.206 data_time: 0.015 memory: 5148 grad_norm: 7.8370 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2879 loss: 1.2879 2022/06/28 17:13:21 - mmengine - INFO - Epoch(train) [81][1980/3757] lr: 1.000e-04 eta: 5:23:25 time: 0.200 data_time: 0.017 memory: 5148 grad_norm: 10.7118 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2292 loss: 1.2292 2022/06/28 17:13:26 - mmengine - INFO - Epoch(train) [81][2000/3757] lr: 1.000e-04 eta: 5:23:20 time: 0.260 data_time: 0.007 memory: 5148 grad_norm: 10.4185 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8466 loss: 0.8466 2022/06/28 17:13:32 - mmengine - INFO - Epoch(train) [81][2020/3757] lr: 1.000e-04 eta: 5:23:15 time: 0.218 data_time: 0.014 memory: 5148 grad_norm: 9.5694 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1388 loss: 1.1388 2022/06/28 17:13:37 - mmengine - INFO - Epoch(train) [81][2040/3757] lr: 1.000e-04 eta: 5:23:10 time: 0.221 data_time: 0.011 memory: 5148 grad_norm: 7.5863 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0134 loss: 1.0134 2022/06/28 17:13:42 - mmengine - INFO - Epoch(train) [81][2060/3757] lr: 1.000e-04 eta: 5:23:04 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 8.3547 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1294 loss: 1.1294 2022/06/28 17:13:47 - mmengine - INFO - Epoch(train) [81][2080/3757] lr: 1.000e-04 eta: 5:22:59 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 9.3110 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1828 loss: 1.1828 2022/06/28 17:13:53 - mmengine - INFO - Epoch(train) [81][2100/3757] lr: 1.000e-04 eta: 5:22:54 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 8.2298 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2211 loss: 1.2211 2022/06/28 17:13:58 - mmengine - INFO - Epoch(train) [81][2120/3757] lr: 1.000e-04 eta: 5:22:48 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 9.8402 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2048 loss: 1.2048 2022/06/28 17:14:04 - mmengine - INFO - Epoch(train) [81][2140/3757] lr: 1.000e-04 eta: 5:22:43 time: 0.203 data_time: 0.014 memory: 5148 grad_norm: 9.4553 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6098 loss: 1.6098 2022/06/28 17:14:08 - mmengine - INFO - Epoch(train) [81][2160/3757] lr: 1.000e-04 eta: 5:22:38 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 8.1001 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2196 loss: 1.2196 2022/06/28 17:14:14 - mmengine - INFO - Epoch(train) [81][2180/3757] lr: 1.000e-04 eta: 5:22:33 time: 0.233 data_time: 0.015 memory: 5148 grad_norm: 7.2543 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7276 loss: 0.7276 2022/06/28 17:14:19 - mmengine - INFO - Epoch(train) [81][2200/3757] lr: 1.000e-04 eta: 5:22:27 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 8.0252 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8991 loss: 0.8991 2022/06/28 17:14:24 - mmengine - INFO - Epoch(train) [81][2220/3757] lr: 1.000e-04 eta: 5:22:22 time: 0.205 data_time: 0.015 memory: 5148 grad_norm: 8.4255 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0149 loss: 1.0149 2022/06/28 17:14:30 - mmengine - INFO - Epoch(train) [81][2240/3757] lr: 1.000e-04 eta: 5:22:17 time: 0.206 data_time: 0.016 memory: 5148 grad_norm: 8.3806 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2418 loss: 1.2418 2022/06/28 17:14:34 - mmengine - INFO - Epoch(train) [81][2260/3757] lr: 1.000e-04 eta: 5:22:11 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 9.1190 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1991 loss: 1.1991 2022/06/28 17:14:40 - mmengine - INFO - Epoch(train) [81][2280/3757] lr: 1.000e-04 eta: 5:22:06 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 9.1430 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1040 loss: 1.1040 2022/06/28 17:14:45 - mmengine - INFO - Epoch(train) [81][2300/3757] lr: 1.000e-04 eta: 5:22:00 time: 0.203 data_time: 0.025 memory: 5148 grad_norm: 9.3300 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0534 loss: 1.0534 2022/06/28 17:14:50 - mmengine - INFO - Epoch(train) [81][2320/3757] lr: 1.000e-04 eta: 5:21:55 time: 0.211 data_time: 0.010 memory: 5148 grad_norm: 9.8345 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3086 loss: 1.3086 2022/06/28 17:14:56 - mmengine - INFO - Epoch(train) [81][2340/3757] lr: 1.000e-04 eta: 5:21:50 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 9.3989 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2465 loss: 1.2465 2022/06/28 17:15:01 - mmengine - INFO - Epoch(train) [81][2360/3757] lr: 1.000e-04 eta: 5:21:45 time: 0.204 data_time: 0.020 memory: 5148 grad_norm: 9.5351 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2879 loss: 1.2879 2022/06/28 17:15:06 - mmengine - INFO - Epoch(train) [81][2380/3757] lr: 1.000e-04 eta: 5:21:39 time: 0.204 data_time: 0.012 memory: 5148 grad_norm: 9.4667 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.2782 loss: 1.2782 2022/06/28 17:15:12 - mmengine - INFO - Epoch(train) [81][2400/3757] lr: 1.000e-04 eta: 5:21:34 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 7.9578 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8547 loss: 1.8547 2022/06/28 17:15:17 - mmengine - INFO - Epoch(train) [81][2420/3757] lr: 1.000e-04 eta: 5:21:29 time: 0.207 data_time: 0.018 memory: 5148 grad_norm: 9.0704 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5441 loss: 1.5441 2022/06/28 17:15:22 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 17:15:22 - mmengine - INFO - Epoch(train) [81][2440/3757] lr: 1.000e-04 eta: 5:21:23 time: 0.199 data_time: 0.015 memory: 5148 grad_norm: 8.2799 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1087 loss: 1.1087 2022/06/28 17:15:27 - mmengine - INFO - Epoch(train) [81][2460/3757] lr: 1.000e-04 eta: 5:21:18 time: 0.198 data_time: 0.013 memory: 5148 grad_norm: 9.6574 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2686 loss: 1.2686 2022/06/28 17:15:33 - mmengine - INFO - Epoch(train) [81][2480/3757] lr: 1.000e-04 eta: 5:21:13 time: 0.212 data_time: 0.013 memory: 5148 grad_norm: 9.5611 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3899 loss: 1.3899 2022/06/28 17:15:37 - mmengine - INFO - Epoch(train) [81][2500/3757] lr: 1.000e-04 eta: 5:21:07 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 9.7503 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.6470 loss: 1.6470 2022/06/28 17:15:43 - mmengine - INFO - Epoch(train) [81][2520/3757] lr: 1.000e-04 eta: 5:21:02 time: 0.197 data_time: 0.012 memory: 5148 grad_norm: 8.2982 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1731 loss: 1.1731 2022/06/28 17:15:48 - mmengine - INFO - Epoch(train) [81][2540/3757] lr: 1.000e-04 eta: 5:20:57 time: 0.497 data_time: 0.020 memory: 5148 grad_norm: 7.4333 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0026 loss: 1.0026 2022/06/28 17:15:53 - mmengine - INFO - Epoch(train) [81][2560/3757] lr: 1.000e-04 eta: 5:20:51 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 8.1027 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1358 loss: 1.1358 2022/06/28 17:15:59 - mmengine - INFO - Epoch(train) [81][2580/3757] lr: 1.000e-04 eta: 5:20:46 time: 0.211 data_time: 0.011 memory: 5148 grad_norm: 9.0315 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3844 loss: 1.3844 2022/06/28 17:16:04 - mmengine - INFO - Epoch(train) [81][2600/3757] lr: 1.000e-04 eta: 5:20:41 time: 0.211 data_time: 0.020 memory: 5148 grad_norm: 9.9973 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0682 loss: 1.0682 2022/06/28 17:16:09 - mmengine - INFO - Epoch(train) [81][2620/3757] lr: 1.000e-04 eta: 5:20:35 time: 0.198 data_time: 0.015 memory: 5148 grad_norm: 6.9539 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8809 loss: 0.8809 2022/06/28 17:16:15 - mmengine - INFO - Epoch(train) [81][2640/3757] lr: 1.000e-04 eta: 5:20:30 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 9.5941 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0733 loss: 1.0733 2022/06/28 17:16:20 - mmengine - INFO - Epoch(train) [81][2660/3757] lr: 1.000e-04 eta: 5:20:25 time: 0.355 data_time: 0.019 memory: 5148 grad_norm: 8.5953 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0306 loss: 1.0306 2022/06/28 17:16:25 - mmengine - INFO - Epoch(train) [81][2680/3757] lr: 1.000e-04 eta: 5:20:19 time: 0.204 data_time: 0.017 memory: 5148 grad_norm: 9.9683 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9657 loss: 0.9657 2022/06/28 17:16:31 - mmengine - INFO - Epoch(train) [81][2700/3757] lr: 1.000e-04 eta: 5:20:14 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 7.3754 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2542 loss: 1.2542 2022/06/28 17:16:36 - mmengine - INFO - Epoch(train) [81][2720/3757] lr: 1.000e-04 eta: 5:20:09 time: 0.641 data_time: 0.017 memory: 5148 grad_norm: 9.9612 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1600 loss: 1.1600 2022/06/28 17:16:41 - mmengine - INFO - Epoch(train) [81][2740/3757] lr: 1.000e-04 eta: 5:20:03 time: 0.200 data_time: 0.013 memory: 5148 grad_norm: 8.9708 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2459 loss: 1.2459 2022/06/28 17:16:46 - mmengine - INFO - Epoch(train) [81][2760/3757] lr: 1.000e-04 eta: 5:19:58 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 9.1396 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9512 loss: 0.9512 2022/06/28 17:16:51 - mmengine - INFO - Epoch(train) [81][2780/3757] lr: 1.000e-04 eta: 5:19:53 time: 0.308 data_time: 0.023 memory: 5148 grad_norm: 10.7120 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1984 loss: 1.1984 2022/06/28 17:16:57 - mmengine - INFO - Epoch(train) [81][2800/3757] lr: 1.000e-04 eta: 5:19:47 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 7.1920 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3519 loss: 1.3519 2022/06/28 17:17:03 - mmengine - INFO - Epoch(train) [81][2820/3757] lr: 1.000e-04 eta: 5:19:42 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 9.3362 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2063 loss: 1.2063 2022/06/28 17:17:08 - mmengine - INFO - Epoch(train) [81][2840/3757] lr: 1.000e-04 eta: 5:19:37 time: 0.206 data_time: 0.023 memory: 5148 grad_norm: 8.8345 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3818 loss: 1.3818 2022/06/28 17:17:13 - mmengine - INFO - Epoch(train) [81][2860/3757] lr: 1.000e-04 eta: 5:19:32 time: 0.200 data_time: 0.012 memory: 5148 grad_norm: 9.2798 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8560 loss: 0.8560 2022/06/28 17:17:18 - mmengine - INFO - Epoch(train) [81][2880/3757] lr: 1.000e-04 eta: 5:19:26 time: 0.204 data_time: 0.012 memory: 5148 grad_norm: 7.3720 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9870 loss: 0.9870 2022/06/28 17:17:24 - mmengine - INFO - Epoch(train) [81][2900/3757] lr: 1.000e-04 eta: 5:19:21 time: 0.202 data_time: 0.014 memory: 5148 grad_norm: 8.4556 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9452 loss: 0.9452 2022/06/28 17:17:29 - mmengine - INFO - Epoch(train) [81][2920/3757] lr: 1.000e-04 eta: 5:19:16 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 9.3569 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1177 loss: 1.1177 2022/06/28 17:17:34 - mmengine - INFO - Epoch(train) [81][2940/3757] lr: 1.000e-04 eta: 5:19:10 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 8.3619 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2633 loss: 1.2633 2022/06/28 17:17:39 - mmengine - INFO - Epoch(train) [81][2960/3757] lr: 1.000e-04 eta: 5:19:05 time: 0.219 data_time: 0.010 memory: 5148 grad_norm: 9.4736 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4283 loss: 1.4283 2022/06/28 17:17:44 - mmengine - INFO - Epoch(train) [81][2980/3757] lr: 1.000e-04 eta: 5:19:00 time: 0.204 data_time: 0.018 memory: 5148 grad_norm: 9.0250 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1946 loss: 1.1946 2022/06/28 17:17:50 - mmengine - INFO - Epoch(train) [81][3000/3757] lr: 1.000e-04 eta: 5:18:54 time: 0.209 data_time: 0.012 memory: 5148 grad_norm: 9.2388 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1375 loss: 1.1375 2022/06/28 17:17:55 - mmengine - INFO - Epoch(train) [81][3020/3757] lr: 1.000e-04 eta: 5:18:49 time: 0.686 data_time: 0.010 memory: 5148 grad_norm: 7.3765 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8461 loss: 0.8461 2022/06/28 17:18:00 - mmengine - INFO - Epoch(train) [81][3040/3757] lr: 1.000e-04 eta: 5:18:44 time: 0.204 data_time: 0.015 memory: 5148 grad_norm: 9.7212 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1959 loss: 1.1959 2022/06/28 17:18:05 - mmengine - INFO - Epoch(train) [81][3060/3757] lr: 1.000e-04 eta: 5:18:38 time: 0.218 data_time: 0.008 memory: 5148 grad_norm: 9.1092 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5082 loss: 1.5082 2022/06/28 17:18:11 - mmengine - INFO - Epoch(train) [81][3080/3757] lr: 1.000e-04 eta: 5:18:33 time: 0.798 data_time: 0.006 memory: 5148 grad_norm: 9.1329 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2436 loss: 1.2436 2022/06/28 17:18:16 - mmengine - INFO - Epoch(train) [81][3100/3757] lr: 1.000e-04 eta: 5:18:28 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 9.0090 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0465 loss: 1.0465 2022/06/28 17:18:21 - mmengine - INFO - Epoch(train) [81][3120/3757] lr: 1.000e-04 eta: 5:18:22 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 7.6851 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1413 loss: 1.1413 2022/06/28 17:18:26 - mmengine - INFO - Epoch(train) [81][3140/3757] lr: 1.000e-04 eta: 5:18:17 time: 0.584 data_time: 0.007 memory: 5148 grad_norm: 8.3120 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3191 loss: 1.3191 2022/06/28 17:18:31 - mmengine - INFO - Epoch(train) [81][3160/3757] lr: 1.000e-04 eta: 5:18:12 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 7.9760 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0981 loss: 1.0981 2022/06/28 17:18:37 - mmengine - INFO - Epoch(train) [81][3180/3757] lr: 1.000e-04 eta: 5:18:06 time: 0.205 data_time: 0.015 memory: 5148 grad_norm: 8.3949 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0647 loss: 1.0647 2022/06/28 17:18:42 - mmengine - INFO - Epoch(train) [81][3200/3757] lr: 1.000e-04 eta: 5:18:01 time: 0.624 data_time: 0.007 memory: 5148 grad_norm: 7.9878 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0940 loss: 1.0940 2022/06/28 17:18:47 - mmengine - INFO - Epoch(train) [81][3220/3757] lr: 1.000e-04 eta: 5:17:56 time: 0.201 data_time: 0.014 memory: 5148 grad_norm: 9.1960 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1007 loss: 1.1007 2022/06/28 17:18:53 - mmengine - INFO - Epoch(train) [81][3240/3757] lr: 1.000e-04 eta: 5:17:50 time: 0.209 data_time: 0.016 memory: 5148 grad_norm: 7.9132 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6312 loss: 1.6312 2022/06/28 17:18:58 - mmengine - INFO - Epoch(train) [81][3260/3757] lr: 1.000e-04 eta: 5:17:45 time: 0.954 data_time: 0.007 memory: 5148 grad_norm: 9.4553 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3666 loss: 1.3666 2022/06/28 17:19:03 - mmengine - INFO - Epoch(train) [81][3280/3757] lr: 1.000e-04 eta: 5:17:40 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 9.9486 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5809 loss: 1.5809 2022/06/28 17:19:08 - mmengine - INFO - Epoch(train) [81][3300/3757] lr: 1.000e-04 eta: 5:17:35 time: 0.208 data_time: 0.019 memory: 5148 grad_norm: 9.9499 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2780 loss: 1.2780 2022/06/28 17:19:13 - mmengine - INFO - Epoch(train) [81][3320/3757] lr: 1.000e-04 eta: 5:17:29 time: 0.621 data_time: 0.012 memory: 5148 grad_norm: 8.5534 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0661 loss: 1.0661 2022/06/28 17:19:18 - mmengine - INFO - Epoch(train) [81][3340/3757] lr: 1.000e-04 eta: 5:17:24 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 8.6270 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2965 loss: 1.2965 2022/06/28 17:19:24 - mmengine - INFO - Epoch(train) [81][3360/3757] lr: 1.000e-04 eta: 5:17:18 time: 0.211 data_time: 0.017 memory: 5148 grad_norm: 9.0930 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5170 loss: 1.5170 2022/06/28 17:19:30 - mmengine - INFO - Epoch(train) [81][3380/3757] lr: 1.000e-04 eta: 5:17:13 time: 1.578 data_time: 0.007 memory: 5148 grad_norm: 10.0306 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5235 loss: 1.5235 2022/06/28 17:19:34 - mmengine - INFO - Epoch(train) [81][3400/3757] lr: 1.000e-04 eta: 5:17:08 time: 0.198 data_time: 0.019 memory: 5148 grad_norm: 8.5327 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3569 loss: 1.3569 2022/06/28 17:19:40 - mmengine - INFO - Epoch(train) [81][3420/3757] lr: 1.000e-04 eta: 5:17:03 time: 0.205 data_time: 0.020 memory: 5148 grad_norm: 8.1109 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2939 loss: 1.2939 2022/06/28 17:19:45 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 17:19:45 - mmengine - INFO - Epoch(train) [81][3440/3757] lr: 1.000e-04 eta: 5:16:57 time: 1.262 data_time: 0.008 memory: 5148 grad_norm: 9.4528 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0738 loss: 1.0738 2022/06/28 17:19:50 - mmengine - INFO - Epoch(train) [81][3460/3757] lr: 1.000e-04 eta: 5:16:52 time: 0.199 data_time: 0.016 memory: 5148 grad_norm: 8.6683 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0586 loss: 1.0586 2022/06/28 17:19:56 - mmengine - INFO - Epoch(train) [81][3480/3757] lr: 1.000e-04 eta: 5:16:47 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 8.9315 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0770 loss: 1.0770 2022/06/28 17:20:01 - mmengine - INFO - Epoch(train) [81][3500/3757] lr: 1.000e-04 eta: 5:16:41 time: 0.902 data_time: 0.008 memory: 5148 grad_norm: 7.8963 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4295 loss: 1.4295 2022/06/28 17:20:06 - mmengine - INFO - Epoch(train) [81][3520/3757] lr: 1.000e-04 eta: 5:16:36 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 9.1402 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8501 loss: 0.8501 2022/06/28 17:20:12 - mmengine - INFO - Epoch(train) [81][3540/3757] lr: 1.000e-04 eta: 5:16:31 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 6.2438 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9852 loss: 0.9852 2022/06/28 17:20:17 - mmengine - INFO - Epoch(train) [81][3560/3757] lr: 1.000e-04 eta: 5:16:25 time: 0.287 data_time: 0.008 memory: 5148 grad_norm: 9.0780 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1370 loss: 1.1370 2022/06/28 17:20:22 - mmengine - INFO - Epoch(train) [81][3580/3757] lr: 1.000e-04 eta: 5:16:20 time: 0.199 data_time: 0.016 memory: 5148 grad_norm: 8.7864 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2527 loss: 1.2527 2022/06/28 17:20:27 - mmengine - INFO - Epoch(train) [81][3600/3757] lr: 1.000e-04 eta: 5:16:15 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 7.5863 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2267 loss: 1.2267 2022/06/28 17:20:32 - mmengine - INFO - Epoch(train) [81][3620/3757] lr: 1.000e-04 eta: 5:16:09 time: 0.771 data_time: 0.011 memory: 5148 grad_norm: 9.8854 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4676 loss: 1.4676 2022/06/28 17:20:37 - mmengine - INFO - Epoch(train) [81][3640/3757] lr: 1.000e-04 eta: 5:16:04 time: 0.205 data_time: 0.018 memory: 5148 grad_norm: 8.5344 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2598 loss: 1.2598 2022/06/28 17:20:43 - mmengine - INFO - Epoch(train) [81][3660/3757] lr: 1.000e-04 eta: 5:15:59 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 9.1933 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2455 loss: 1.2455 2022/06/28 17:20:48 - mmengine - INFO - Epoch(train) [81][3680/3757] lr: 1.000e-04 eta: 5:15:53 time: 0.698 data_time: 0.006 memory: 5148 grad_norm: 8.8294 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3145 loss: 1.3145 2022/06/28 17:20:53 - mmengine - INFO - Epoch(train) [81][3700/3757] lr: 1.000e-04 eta: 5:15:48 time: 0.209 data_time: 0.011 memory: 5148 grad_norm: 8.7356 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7207 loss: 0.7207 2022/06/28 17:20:58 - mmengine - INFO - Epoch(train) [81][3720/3757] lr: 1.000e-04 eta: 5:15:43 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 8.8281 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0932 loss: 1.0932 2022/06/28 17:21:03 - mmengine - INFO - Epoch(train) [81][3740/3757] lr: 1.000e-04 eta: 5:15:37 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 8.7458 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3289 loss: 1.3289 2022/06/28 17:21:07 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 17:21:13 - mmengine - INFO - Epoch(val) [81][20/310] eta: 0:01:08 time: 0.209 data_time: 0.138 memory: 5148 2022/06/28 17:21:18 - mmengine - INFO - Epoch(val) [81][40/310] eta: 0:00:58 time: 0.087 data_time: 0.009 memory: 1367 2022/06/28 17:21:24 - mmengine - INFO - Epoch(val) [81][60/310] eta: 0:00:53 time: 0.099 data_time: 0.022 memory: 1367 2022/06/28 17:21:28 - mmengine - INFO - Epoch(val) [81][80/310] eta: 0:01:03 time: 0.439 data_time: 0.362 memory: 1367 2022/06/28 17:21:34 - mmengine - INFO - Epoch(val) [81][100/310] eta: 0:00:48 time: 0.091 data_time: 0.005 memory: 1367 2022/06/28 17:21:39 - mmengine - INFO - Epoch(val) [81][120/310] eta: 0:00:53 time: 0.654 data_time: 0.582 memory: 1367 2022/06/28 17:21:45 - mmengine - INFO - Epoch(val) [81][140/310] eta: 0:00:46 time: 0.367 data_time: 0.295 memory: 1367 2022/06/28 17:21:50 - mmengine - INFO - Epoch(val) [81][160/310] eta: 0:00:43 time: 0.613 data_time: 0.536 memory: 1367 2022/06/28 17:21:56 - mmengine - INFO - Epoch(val) [81][180/310] eta: 0:00:38 time: 0.691 data_time: 0.610 memory: 1367 2022/06/28 17:22:00 - mmengine - INFO - Epoch(val) [81][200/310] eta: 0:00:28 time: 0.410 data_time: 0.333 memory: 1367 2022/06/28 17:22:06 - mmengine - INFO - Epoch(val) [81][220/310] eta: 0:00:27 time: 0.168 data_time: 0.091 memory: 1367 2022/06/28 17:22:11 - mmengine - INFO - Epoch(val) [81][240/310] eta: 0:00:15 time: 0.079 data_time: 0.008 memory: 1367 2022/06/28 17:22:17 - mmengine - INFO - Epoch(val) [81][260/310] eta: 0:00:15 time: 0.085 data_time: 0.014 memory: 1367 2022/06/28 17:22:22 - mmengine - INFO - Epoch(val) [81][280/310] eta: 0:00:06 time: 0.165 data_time: 0.093 memory: 1367 2022/06/28 17:22:27 - mmengine - INFO - Epoch(val) [81][300/310] eta: 0:00:03 time: 0.236 data_time: 0.165 memory: 1367 2022/06/28 17:22:31 - mmengine - INFO - Epoch(val) [81][310/310] acc/top1: 0.6567 acc/top5: 0.8611 acc/mean1: 0.6566 2022/06/28 17:22:39 - mmengine - INFO - Epoch(train) [82][20/3757] lr: 1.000e-04 eta: 5:15:28 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 7.1596 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3032 loss: 1.3032 2022/06/28 17:22:45 - mmengine - INFO - Epoch(train) [82][40/3757] lr: 1.000e-04 eta: 5:15:22 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 8.5644 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2346 loss: 1.2346 2022/06/28 17:22:50 - mmengine - INFO - Epoch(train) [82][60/3757] lr: 1.000e-04 eta: 5:15:17 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 6.9136 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9217 loss: 0.9217 2022/06/28 17:22:56 - mmengine - INFO - Epoch(train) [82][80/3757] lr: 1.000e-04 eta: 5:15:12 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 7.6145 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4456 loss: 1.4456 2022/06/28 17:23:01 - mmengine - INFO - Epoch(train) [82][100/3757] lr: 1.000e-04 eta: 5:15:06 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 11.1966 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6086 loss: 1.6086 2022/06/28 17:23:06 - mmengine - INFO - Epoch(train) [82][120/3757] lr: 1.000e-04 eta: 5:15:01 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 7.5792 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1114 loss: 1.1114 2022/06/28 17:23:11 - mmengine - INFO - Epoch(train) [82][140/3757] lr: 1.000e-04 eta: 5:14:56 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 8.7933 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0730 loss: 1.0730 2022/06/28 17:23:17 - mmengine - INFO - Epoch(train) [82][160/3757] lr: 1.000e-04 eta: 5:14:51 time: 0.568 data_time: 0.010 memory: 5148 grad_norm: 7.8535 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0796 loss: 1.0796 2022/06/28 17:23:22 - mmengine - INFO - Epoch(train) [82][180/3757] lr: 1.000e-04 eta: 5:14:45 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 7.8445 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8870 loss: 0.8870 2022/06/28 17:23:28 - mmengine - INFO - Epoch(train) [82][200/3757] lr: 1.000e-04 eta: 5:14:40 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 10.4682 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9753 loss: 0.9753 2022/06/28 17:23:33 - mmengine - INFO - Epoch(train) [82][220/3757] lr: 1.000e-04 eta: 5:14:35 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 8.6743 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0228 loss: 1.0228 2022/06/28 17:23:38 - mmengine - INFO - Epoch(train) [82][240/3757] lr: 1.000e-04 eta: 5:14:29 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 9.1881 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1982 loss: 1.1982 2022/06/28 17:23:44 - mmengine - INFO - Epoch(train) [82][260/3757] lr: 1.000e-04 eta: 5:14:24 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 7.8045 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3069 loss: 1.3069 2022/06/28 17:23:49 - mmengine - INFO - Epoch(train) [82][280/3757] lr: 1.000e-04 eta: 5:14:19 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 8.3640 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2141 loss: 1.2141 2022/06/28 17:23:54 - mmengine - INFO - Epoch(train) [82][300/3757] lr: 1.000e-04 eta: 5:14:13 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 10.1855 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4937 loss: 1.4937 2022/06/28 17:24:00 - mmengine - INFO - Epoch(train) [82][320/3757] lr: 1.000e-04 eta: 5:14:08 time: 0.214 data_time: 0.008 memory: 5148 grad_norm: 8.6023 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2109 loss: 1.2109 2022/06/28 17:24:06 - mmengine - INFO - Epoch(train) [82][340/3757] lr: 1.000e-04 eta: 5:14:03 time: 0.206 data_time: 0.015 memory: 5148 grad_norm: 10.3880 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1525 loss: 1.1525 2022/06/28 17:24:10 - mmengine - INFO - Epoch(train) [82][360/3757] lr: 1.000e-04 eta: 5:13:58 time: 0.200 data_time: 0.009 memory: 5148 grad_norm: 8.0858 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9718 loss: 0.9718 2022/06/28 17:24:16 - mmengine - INFO - Epoch(train) [82][380/3757] lr: 1.000e-04 eta: 5:13:52 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 7.5234 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5450 loss: 1.5450 2022/06/28 17:24:21 - mmengine - INFO - Epoch(train) [82][400/3757] lr: 1.000e-04 eta: 5:13:47 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 9.4053 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0075 loss: 1.0075 2022/06/28 17:24:26 - mmengine - INFO - Epoch(train) [82][420/3757] lr: 1.000e-04 eta: 5:13:42 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 9.9537 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3920 loss: 1.3920 2022/06/28 17:24:32 - mmengine - INFO - Epoch(train) [82][440/3757] lr: 1.000e-04 eta: 5:13:36 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 8.6846 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9616 loss: 0.9616 2022/06/28 17:24:38 - mmengine - INFO - Epoch(train) [82][460/3757] lr: 1.000e-04 eta: 5:13:31 time: 0.207 data_time: 0.006 memory: 5148 grad_norm: 8.7470 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1264 loss: 1.1264 2022/06/28 17:24:42 - mmengine - INFO - Epoch(train) [82][480/3757] lr: 1.000e-04 eta: 5:13:26 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 8.0212 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2905 loss: 1.2905 2022/06/28 17:24:48 - mmengine - INFO - Epoch(train) [82][500/3757] lr: 1.000e-04 eta: 5:13:21 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 7.4648 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4280 loss: 1.4280 2022/06/28 17:24:54 - mmengine - INFO - Epoch(train) [82][520/3757] lr: 1.000e-04 eta: 5:13:15 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 8.9647 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1330 loss: 1.1330 2022/06/28 17:24:58 - mmengine - INFO - Epoch(train) [82][540/3757] lr: 1.000e-04 eta: 5:13:10 time: 0.211 data_time: 0.008 memory: 5148 grad_norm: 7.5660 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.6565 loss: 0.6565 2022/06/28 17:25:04 - mmengine - INFO - Epoch(train) [82][560/3757] lr: 1.000e-04 eta: 5:13:05 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 8.2545 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9445 loss: 0.9445 2022/06/28 17:25:10 - mmengine - INFO - Epoch(train) [82][580/3757] lr: 1.000e-04 eta: 5:13:00 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 8.2269 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1600 loss: 1.1600 2022/06/28 17:25:15 - mmengine - INFO - Epoch(train) [82][600/3757] lr: 1.000e-04 eta: 5:12:54 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 9.4156 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2373 loss: 1.2373 2022/06/28 17:25:20 - mmengine - INFO - Epoch(train) [82][620/3757] lr: 1.000e-04 eta: 5:12:49 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 8.0849 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8442 loss: 0.8442 2022/06/28 17:25:26 - mmengine - INFO - Epoch(train) [82][640/3757] lr: 1.000e-04 eta: 5:12:43 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 7.9346 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0753 loss: 1.0753 2022/06/28 17:25:30 - mmengine - INFO - Epoch(train) [82][660/3757] lr: 1.000e-04 eta: 5:12:38 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 9.4925 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1975 loss: 1.1975 2022/06/28 17:25:35 - mmengine - INFO - Epoch(train) [82][680/3757] lr: 1.000e-04 eta: 5:12:33 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 9.4038 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1319 loss: 1.1319 2022/06/28 17:25:36 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 17:25:41 - mmengine - INFO - Epoch(train) [82][700/3757] lr: 1.000e-04 eta: 5:12:27 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 9.3196 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9466 loss: 0.9466 2022/06/28 17:25:46 - mmengine - INFO - Epoch(train) [82][720/3757] lr: 1.000e-04 eta: 5:12:22 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 7.3960 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3449 loss: 1.3449 2022/06/28 17:25:51 - mmengine - INFO - Epoch(train) [82][740/3757] lr: 1.000e-04 eta: 5:12:17 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 9.1914 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9761 loss: 0.9761 2022/06/28 17:25:56 - mmengine - INFO - Epoch(train) [82][760/3757] lr: 1.000e-04 eta: 5:12:11 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 9.3561 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2276 loss: 1.2276 2022/06/28 17:26:02 - mmengine - INFO - Epoch(train) [82][780/3757] lr: 1.000e-04 eta: 5:12:06 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 8.9063 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1489 loss: 1.1489 2022/06/28 17:26:08 - mmengine - INFO - Epoch(train) [82][800/3757] lr: 1.000e-04 eta: 5:12:01 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 9.7232 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9592 loss: 0.9592 2022/06/28 17:26:13 - mmengine - INFO - Epoch(train) [82][820/3757] lr: 1.000e-04 eta: 5:11:56 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 8.9480 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1495 loss: 1.1495 2022/06/28 17:26:18 - mmengine - INFO - Epoch(train) [82][840/3757] lr: 1.000e-04 eta: 5:11:50 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 9.9411 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5097 loss: 1.5097 2022/06/28 17:26:24 - mmengine - INFO - Epoch(train) [82][860/3757] lr: 1.000e-04 eta: 5:11:45 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 9.3289 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4795 loss: 1.4795 2022/06/28 17:26:29 - mmengine - INFO - Epoch(train) [82][880/3757] lr: 1.000e-04 eta: 5:11:40 time: 0.195 data_time: 0.013 memory: 5148 grad_norm: 9.8213 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1954 loss: 1.1954 2022/06/28 17:26:34 - mmengine - INFO - Epoch(train) [82][900/3757] lr: 1.000e-04 eta: 5:11:34 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 8.4198 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4992 loss: 1.4992 2022/06/28 17:26:39 - mmengine - INFO - Epoch(train) [82][920/3757] lr: 1.000e-04 eta: 5:11:29 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 8.6777 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3849 loss: 1.3849 2022/06/28 17:26:44 - mmengine - INFO - Epoch(train) [82][940/3757] lr: 1.000e-04 eta: 5:11:24 time: 0.200 data_time: 0.019 memory: 5148 grad_norm: 9.3688 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5166 loss: 1.5166 2022/06/28 17:26:49 - mmengine - INFO - Epoch(train) [82][960/3757] lr: 1.000e-04 eta: 5:11:18 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 9.6226 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1225 loss: 1.1225 2022/06/28 17:26:55 - mmengine - INFO - Epoch(train) [82][980/3757] lr: 1.000e-04 eta: 5:11:13 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 8.5183 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0352 loss: 1.0352 2022/06/28 17:27:00 - mmengine - INFO - Epoch(train) [82][1000/3757] lr: 1.000e-04 eta: 5:11:08 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 8.8178 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6070 loss: 1.6070 2022/06/28 17:27:06 - mmengine - INFO - Epoch(train) [82][1020/3757] lr: 1.000e-04 eta: 5:11:02 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 8.2204 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.2830 loss: 1.2830 2022/06/28 17:27:12 - mmengine - INFO - Epoch(train) [82][1040/3757] lr: 1.000e-04 eta: 5:10:57 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 10.2376 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9680 loss: 0.9680 2022/06/28 17:27:17 - mmengine - INFO - Epoch(train) [82][1060/3757] lr: 1.000e-04 eta: 5:10:52 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 8.4716 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2600 loss: 1.2600 2022/06/28 17:27:22 - mmengine - INFO - Epoch(train) [82][1080/3757] lr: 1.000e-04 eta: 5:10:46 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 9.6065 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3280 loss: 1.3280 2022/06/28 17:27:27 - mmengine - INFO - Epoch(train) [82][1100/3757] lr: 1.000e-04 eta: 5:10:41 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 8.2498 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2390 loss: 1.2390 2022/06/28 17:27:32 - mmengine - INFO - Epoch(train) [82][1120/3757] lr: 1.000e-04 eta: 5:10:36 time: 0.203 data_time: 0.017 memory: 5148 grad_norm: 7.9729 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8138 loss: 0.8138 2022/06/28 17:27:37 - mmengine - INFO - Epoch(train) [82][1140/3757] lr: 1.000e-04 eta: 5:10:30 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 9.3499 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1702 loss: 1.1702 2022/06/28 17:27:42 - mmengine - INFO - Epoch(train) [82][1160/3757] lr: 1.000e-04 eta: 5:10:25 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 9.4276 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1517 loss: 1.1517 2022/06/28 17:27:48 - mmengine - INFO - Epoch(train) [82][1180/3757] lr: 1.000e-04 eta: 5:10:20 time: 0.209 data_time: 0.018 memory: 5148 grad_norm: 9.6539 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1222 loss: 1.1222 2022/06/28 17:27:53 - mmengine - INFO - Epoch(train) [82][1200/3757] lr: 1.000e-04 eta: 5:10:15 time: 0.192 data_time: 0.008 memory: 5148 grad_norm: 10.8971 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1784 loss: 1.1784 2022/06/28 17:27:58 - mmengine - INFO - Epoch(train) [82][1220/3757] lr: 1.000e-04 eta: 5:10:09 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 8.8941 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4938 loss: 1.4938 2022/06/28 17:28:04 - mmengine - INFO - Epoch(train) [82][1240/3757] lr: 1.000e-04 eta: 5:10:04 time: 0.204 data_time: 0.017 memory: 5148 grad_norm: 9.1584 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2500 loss: 1.2500 2022/06/28 17:28:08 - mmengine - INFO - Epoch(train) [82][1260/3757] lr: 1.000e-04 eta: 5:09:58 time: 0.219 data_time: 0.008 memory: 5148 grad_norm: 8.7029 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0884 loss: 1.0884 2022/06/28 17:28:14 - mmengine - INFO - Epoch(train) [82][1280/3757] lr: 1.000e-04 eta: 5:09:53 time: 0.204 data_time: 0.015 memory: 5148 grad_norm: 8.2786 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8868 loss: 0.8868 2022/06/28 17:28:19 - mmengine - INFO - Epoch(train) [82][1300/3757] lr: 1.000e-04 eta: 5:09:48 time: 0.198 data_time: 0.013 memory: 5148 grad_norm: 10.8347 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0598 loss: 1.0598 2022/06/28 17:28:24 - mmengine - INFO - Epoch(train) [82][1320/3757] lr: 1.000e-04 eta: 5:09:43 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 9.5588 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4395 loss: 1.4395 2022/06/28 17:28:30 - mmengine - INFO - Epoch(train) [82][1340/3757] lr: 1.000e-04 eta: 5:09:37 time: 0.212 data_time: 0.011 memory: 5148 grad_norm: 9.4705 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9291 loss: 0.9291 2022/06/28 17:28:36 - mmengine - INFO - Epoch(train) [82][1360/3757] lr: 1.000e-04 eta: 5:09:32 time: 0.199 data_time: 0.012 memory: 5148 grad_norm: 8.0019 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0276 loss: 1.0276 2022/06/28 17:28:41 - mmengine - INFO - Epoch(train) [82][1380/3757] lr: 1.000e-04 eta: 5:09:27 time: 0.219 data_time: 0.010 memory: 5148 grad_norm: 8.6239 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8099 loss: 0.8099 2022/06/28 17:28:46 - mmengine - INFO - Epoch(train) [82][1400/3757] lr: 1.000e-04 eta: 5:09:21 time: 0.196 data_time: 0.014 memory: 5148 grad_norm: 8.7485 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9261 loss: 0.9261 2022/06/28 17:28:51 - mmengine - INFO - Epoch(train) [82][1420/3757] lr: 1.000e-04 eta: 5:09:16 time: 0.204 data_time: 0.019 memory: 5148 grad_norm: 8.3827 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1051 loss: 1.1051 2022/06/28 17:28:57 - mmengine - INFO - Epoch(train) [82][1440/3757] lr: 1.000e-04 eta: 5:09:11 time: 0.203 data_time: 0.018 memory: 5148 grad_norm: 8.9886 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9825 loss: 0.9825 2022/06/28 17:29:03 - mmengine - INFO - Epoch(train) [82][1460/3757] lr: 1.000e-04 eta: 5:09:06 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 9.2024 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3572 loss: 1.3572 2022/06/28 17:29:08 - mmengine - INFO - Epoch(train) [82][1480/3757] lr: 1.000e-04 eta: 5:09:00 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 9.0773 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9327 loss: 0.9327 2022/06/28 17:29:12 - mmengine - INFO - Epoch(train) [82][1500/3757] lr: 1.000e-04 eta: 5:08:55 time: 0.203 data_time: 0.015 memory: 5148 grad_norm: 8.6355 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1503 loss: 1.1503 2022/06/28 17:29:18 - mmengine - INFO - Epoch(train) [82][1520/3757] lr: 1.000e-04 eta: 5:08:50 time: 0.237 data_time: 0.007 memory: 5148 grad_norm: 10.4736 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0999 loss: 1.0999 2022/06/28 17:29:23 - mmengine - INFO - Epoch(train) [82][1540/3757] lr: 1.000e-04 eta: 5:08:44 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 8.6116 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2202 loss: 1.2202 2022/06/28 17:29:28 - mmengine - INFO - Epoch(train) [82][1560/3757] lr: 1.000e-04 eta: 5:08:39 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 7.3722 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0381 loss: 1.0381 2022/06/28 17:29:33 - mmengine - INFO - Epoch(train) [82][1580/3757] lr: 1.000e-04 eta: 5:08:33 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 9.2115 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1216 loss: 1.1216 2022/06/28 17:29:39 - mmengine - INFO - Epoch(train) [82][1600/3757] lr: 1.000e-04 eta: 5:08:28 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 8.4747 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6863 loss: 1.6863 2022/06/28 17:29:44 - mmengine - INFO - Epoch(train) [82][1620/3757] lr: 1.000e-04 eta: 5:08:23 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 9.2057 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1077 loss: 1.1077 2022/06/28 17:29:48 - mmengine - INFO - Epoch(train) [82][1640/3757] lr: 1.000e-04 eta: 5:08:17 time: 0.210 data_time: 0.018 memory: 5148 grad_norm: 9.8959 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1155 loss: 1.1155 2022/06/28 17:29:54 - mmengine - INFO - Epoch(train) [82][1660/3757] lr: 1.000e-04 eta: 5:08:12 time: 0.212 data_time: 0.017 memory: 5148 grad_norm: 8.7920 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5014 loss: 1.5014 2022/06/28 17:30:00 - mmengine - INFO - Epoch(train) [82][1680/3757] lr: 1.000e-04 eta: 5:08:07 time: 0.203 data_time: 0.012 memory: 5148 grad_norm: 9.2001 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5489 loss: 1.5489 2022/06/28 17:30:00 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 17:30:05 - mmengine - INFO - Epoch(train) [82][1700/3757] lr: 1.000e-04 eta: 5:08:02 time: 0.203 data_time: 0.020 memory: 5148 grad_norm: 8.1472 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0169 loss: 1.0169 2022/06/28 17:30:10 - mmengine - INFO - Epoch(train) [82][1720/3757] lr: 1.000e-04 eta: 5:07:56 time: 0.209 data_time: 0.018 memory: 5148 grad_norm: 8.2035 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9344 loss: 0.9344 2022/06/28 17:30:16 - mmengine - INFO - Epoch(train) [82][1740/3757] lr: 1.000e-04 eta: 5:07:51 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 7.2031 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4615 loss: 1.4615 2022/06/28 17:30:21 - mmengine - INFO - Epoch(train) [82][1760/3757] lr: 1.000e-04 eta: 5:07:46 time: 0.215 data_time: 0.035 memory: 5148 grad_norm: 7.9451 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1181 loss: 1.1181 2022/06/28 17:30:27 - mmengine - INFO - Epoch(train) [82][1780/3757] lr: 1.000e-04 eta: 5:07:41 time: 0.239 data_time: 0.011 memory: 5148 grad_norm: 6.8521 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1008 loss: 1.1008 2022/06/28 17:30:32 - mmengine - INFO - Epoch(train) [82][1800/3757] lr: 1.000e-04 eta: 5:07:35 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 9.2707 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0994 loss: 1.0994 2022/06/28 17:30:37 - mmengine - INFO - Epoch(train) [82][1820/3757] lr: 1.000e-04 eta: 5:07:30 time: 0.214 data_time: 0.024 memory: 5148 grad_norm: 7.9071 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4882 loss: 1.4882 2022/06/28 17:30:42 - mmengine - INFO - Epoch(train) [82][1840/3757] lr: 1.000e-04 eta: 5:07:24 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 9.3543 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1411 loss: 1.1411 2022/06/28 17:30:47 - mmengine - INFO - Epoch(train) [82][1860/3757] lr: 1.000e-04 eta: 5:07:19 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 10.0740 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3883 loss: 1.3883 2022/06/28 17:30:52 - mmengine - INFO - Epoch(train) [82][1880/3757] lr: 1.000e-04 eta: 5:07:14 time: 0.207 data_time: 0.023 memory: 5148 grad_norm: 9.8819 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.0765 loss: 1.0765 2022/06/28 17:30:57 - mmengine - INFO - Epoch(train) [82][1900/3757] lr: 1.000e-04 eta: 5:07:08 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 8.3933 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5865 loss: 1.5865 2022/06/28 17:31:03 - mmengine - INFO - Epoch(train) [82][1920/3757] lr: 1.000e-04 eta: 5:07:03 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 8.2242 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3825 loss: 1.3825 2022/06/28 17:31:08 - mmengine - INFO - Epoch(train) [82][1940/3757] lr: 1.000e-04 eta: 5:06:58 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 9.7480 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0168 loss: 1.0168 2022/06/28 17:31:13 - mmengine - INFO - Epoch(train) [82][1960/3757] lr: 1.000e-04 eta: 5:06:52 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 7.9259 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8049 loss: 0.8049 2022/06/28 17:31:18 - mmengine - INFO - Epoch(train) [82][1980/3757] lr: 1.000e-04 eta: 5:06:47 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 9.2964 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1029 loss: 1.1029 2022/06/28 17:31:23 - mmengine - INFO - Epoch(train) [82][2000/3757] lr: 1.000e-04 eta: 5:06:42 time: 0.211 data_time: 0.010 memory: 5148 grad_norm: 7.7752 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0975 loss: 1.0975 2022/06/28 17:31:29 - mmengine - INFO - Epoch(train) [82][2020/3757] lr: 1.000e-04 eta: 5:06:36 time: 0.206 data_time: 0.009 memory: 5148 grad_norm: 10.4961 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8918 loss: 0.8918 2022/06/28 17:31:34 - mmengine - INFO - Epoch(train) [82][2040/3757] lr: 1.000e-04 eta: 5:06:31 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 9.4858 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1191 loss: 1.1191 2022/06/28 17:31:39 - mmengine - INFO - Epoch(train) [82][2060/3757] lr: 1.000e-04 eta: 5:06:26 time: 0.211 data_time: 0.022 memory: 5148 grad_norm: 7.9372 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.9044 loss: 0.9044 2022/06/28 17:31:44 - mmengine - INFO - Epoch(train) [82][2080/3757] lr: 1.000e-04 eta: 5:06:20 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 10.7979 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3339 loss: 1.3339 2022/06/28 17:31:50 - mmengine - INFO - Epoch(train) [82][2100/3757] lr: 1.000e-04 eta: 5:06:15 time: 0.228 data_time: 0.006 memory: 5148 grad_norm: 9.5366 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2188 loss: 1.2188 2022/06/28 17:31:55 - mmengine - INFO - Epoch(train) [82][2120/3757] lr: 1.000e-04 eta: 5:06:10 time: 0.320 data_time: 0.020 memory: 5148 grad_norm: 9.7289 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4655 loss: 1.4655 2022/06/28 17:32:00 - mmengine - INFO - Epoch(train) [82][2140/3757] lr: 1.000e-04 eta: 5:06:05 time: 0.248 data_time: 0.008 memory: 5148 grad_norm: 8.8522 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2201 loss: 1.2201 2022/06/28 17:32:05 - mmengine - INFO - Epoch(train) [82][2160/3757] lr: 1.000e-04 eta: 5:05:59 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 8.1241 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2082 loss: 1.2082 2022/06/28 17:32:11 - mmengine - INFO - Epoch(train) [82][2180/3757] lr: 1.000e-04 eta: 5:05:54 time: 0.213 data_time: 0.026 memory: 5148 grad_norm: 8.3102 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9799 loss: 0.9799 2022/06/28 17:32:16 - mmengine - INFO - Epoch(train) [82][2200/3757] lr: 1.000e-04 eta: 5:05:49 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 9.2818 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0044 loss: 1.0044 2022/06/28 17:32:21 - mmengine - INFO - Epoch(train) [82][2220/3757] lr: 1.000e-04 eta: 5:05:43 time: 0.223 data_time: 0.008 memory: 5148 grad_norm: 7.5351 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2493 loss: 1.2493 2022/06/28 17:32:26 - mmengine - INFO - Epoch(train) [82][2240/3757] lr: 1.000e-04 eta: 5:05:38 time: 0.213 data_time: 0.013 memory: 5148 grad_norm: 6.5289 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2230 loss: 1.2230 2022/06/28 17:32:32 - mmengine - INFO - Epoch(train) [82][2260/3757] lr: 1.000e-04 eta: 5:05:33 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 8.8938 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2908 loss: 1.2908 2022/06/28 17:32:38 - mmengine - INFO - Epoch(train) [82][2280/3757] lr: 1.000e-04 eta: 5:05:27 time: 0.223 data_time: 0.007 memory: 5148 grad_norm: 7.6570 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3943 loss: 1.3943 2022/06/28 17:32:42 - mmengine - INFO - Epoch(train) [82][2300/3757] lr: 1.000e-04 eta: 5:05:22 time: 0.212 data_time: 0.008 memory: 5148 grad_norm: 7.9696 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0874 loss: 1.0874 2022/06/28 17:32:48 - mmengine - INFO - Epoch(train) [82][2320/3757] lr: 1.000e-04 eta: 5:05:17 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 8.9565 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7366 loss: 1.7366 2022/06/28 17:32:53 - mmengine - INFO - Epoch(train) [82][2340/3757] lr: 1.000e-04 eta: 5:05:11 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 9.8684 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2639 loss: 1.2639 2022/06/28 17:32:58 - mmengine - INFO - Epoch(train) [82][2360/3757] lr: 1.000e-04 eta: 5:05:06 time: 0.236 data_time: 0.007 memory: 5148 grad_norm: 8.1900 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5839 loss: 1.5839 2022/06/28 17:33:04 - mmengine - INFO - Epoch(train) [82][2380/3757] lr: 1.000e-04 eta: 5:05:01 time: 0.205 data_time: 0.016 memory: 5148 grad_norm: 7.5464 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3551 loss: 1.3551 2022/06/28 17:33:09 - mmengine - INFO - Epoch(train) [82][2400/3757] lr: 1.000e-04 eta: 5:04:55 time: 0.237 data_time: 0.007 memory: 5148 grad_norm: 9.0152 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2053 loss: 1.2053 2022/06/28 17:33:14 - mmengine - INFO - Epoch(train) [82][2420/3757] lr: 1.000e-04 eta: 5:04:50 time: 0.214 data_time: 0.008 memory: 5148 grad_norm: 11.1054 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2224 loss: 1.2224 2022/06/28 17:33:20 - mmengine - INFO - Epoch(train) [82][2440/3757] lr: 1.000e-04 eta: 5:04:45 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 9.9508 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0633 loss: 1.0633 2022/06/28 17:33:25 - mmengine - INFO - Epoch(train) [82][2460/3757] lr: 1.000e-04 eta: 5:04:40 time: 0.218 data_time: 0.007 memory: 5148 grad_norm: 9.2565 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3602 loss: 1.3602 2022/06/28 17:33:30 - mmengine - INFO - Epoch(train) [82][2480/3757] lr: 1.000e-04 eta: 5:04:34 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 8.7179 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8793 loss: 0.8793 2022/06/28 17:33:36 - mmengine - INFO - Epoch(train) [82][2500/3757] lr: 1.000e-04 eta: 5:04:29 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 10.6399 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4038 loss: 1.4038 2022/06/28 17:33:41 - mmengine - INFO - Epoch(train) [82][2520/3757] lr: 1.000e-04 eta: 5:04:24 time: 0.307 data_time: 0.011 memory: 5148 grad_norm: 8.1317 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7632 loss: 0.7632 2022/06/28 17:33:46 - mmengine - INFO - Epoch(train) [82][2540/3757] lr: 1.000e-04 eta: 5:04:18 time: 0.218 data_time: 0.008 memory: 5148 grad_norm: 7.4632 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8342 loss: 0.8342 2022/06/28 17:33:51 - mmengine - INFO - Epoch(train) [82][2560/3757] lr: 1.000e-04 eta: 5:04:13 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 8.2401 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0827 loss: 1.0827 2022/06/28 17:33:56 - mmengine - INFO - Epoch(train) [82][2580/3757] lr: 1.000e-04 eta: 5:04:08 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 8.3427 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8269 loss: 0.8269 2022/06/28 17:34:02 - mmengine - INFO - Epoch(train) [82][2600/3757] lr: 1.000e-04 eta: 5:04:02 time: 0.376 data_time: 0.007 memory: 5148 grad_norm: 9.4103 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1698 loss: 1.1698 2022/06/28 17:34:07 - mmengine - INFO - Epoch(train) [82][2620/3757] lr: 1.000e-04 eta: 5:03:57 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 9.3296 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0398 loss: 1.0398 2022/06/28 17:34:12 - mmengine - INFO - Epoch(train) [82][2640/3757] lr: 1.000e-04 eta: 5:03:52 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 8.0531 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0271 loss: 1.0271 2022/06/28 17:34:17 - mmengine - INFO - Epoch(train) [82][2660/3757] lr: 1.000e-04 eta: 5:03:46 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 9.4391 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5721 loss: 1.5721 2022/06/28 17:34:22 - mmengine - INFO - Epoch(train) [82][2680/3757] lr: 1.000e-04 eta: 5:03:41 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 8.9872 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1071 loss: 1.1071 2022/06/28 17:34:23 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 17:34:27 - mmengine - INFO - Epoch(train) [82][2700/3757] lr: 1.000e-04 eta: 5:03:36 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 8.2002 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3169 loss: 1.3169 2022/06/28 17:34:33 - mmengine - INFO - Epoch(train) [82][2720/3757] lr: 1.000e-04 eta: 5:03:30 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 8.3686 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4319 loss: 1.4319 2022/06/28 17:34:38 - mmengine - INFO - Epoch(train) [82][2740/3757] lr: 1.000e-04 eta: 5:03:25 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 8.9783 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3437 loss: 1.3437 2022/06/28 17:34:44 - mmengine - INFO - Epoch(train) [82][2760/3757] lr: 1.000e-04 eta: 5:03:20 time: 0.223 data_time: 0.007 memory: 5148 grad_norm: 9.1424 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1923 loss: 1.1923 2022/06/28 17:34:49 - mmengine - INFO - Epoch(train) [82][2780/3757] lr: 1.000e-04 eta: 5:03:14 time: 0.326 data_time: 0.007 memory: 5148 grad_norm: 9.9320 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9522 loss: 0.9522 2022/06/28 17:34:54 - mmengine - INFO - Epoch(train) [82][2800/3757] lr: 1.000e-04 eta: 5:03:09 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 8.8227 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0276 loss: 1.0276 2022/06/28 17:34:59 - mmengine - INFO - Epoch(train) [82][2820/3757] lr: 1.000e-04 eta: 5:03:04 time: 0.229 data_time: 0.008 memory: 5148 grad_norm: 8.5912 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1150 loss: 1.1150 2022/06/28 17:35:05 - mmengine - INFO - Epoch(train) [82][2840/3757] lr: 1.000e-04 eta: 5:02:58 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 7.9699 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2612 loss: 1.2612 2022/06/28 17:35:10 - mmengine - INFO - Epoch(train) [82][2860/3757] lr: 1.000e-04 eta: 5:02:53 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 7.9952 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1654 loss: 1.1654 2022/06/28 17:35:16 - mmengine - INFO - Epoch(train) [82][2880/3757] lr: 1.000e-04 eta: 5:02:48 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 7.8618 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0913 loss: 1.0913 2022/06/28 17:35:21 - mmengine - INFO - Epoch(train) [82][2900/3757] lr: 1.000e-04 eta: 5:02:43 time: 0.244 data_time: 0.007 memory: 5148 grad_norm: 8.7862 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0573 loss: 1.0573 2022/06/28 17:35:26 - mmengine - INFO - Epoch(train) [82][2920/3757] lr: 1.000e-04 eta: 5:02:37 time: 0.212 data_time: 0.028 memory: 5148 grad_norm: 7.5922 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4387 loss: 1.4387 2022/06/28 17:35:32 - mmengine - INFO - Epoch(train) [82][2940/3757] lr: 1.000e-04 eta: 5:02:32 time: 0.213 data_time: 0.014 memory: 5148 grad_norm: 8.9175 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8085 loss: 0.8085 2022/06/28 17:35:36 - mmengine - INFO - Epoch(train) [82][2960/3757] lr: 1.000e-04 eta: 5:02:27 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 8.3618 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0923 loss: 1.0923 2022/06/28 17:35:43 - mmengine - INFO - Epoch(train) [82][2980/3757] lr: 1.000e-04 eta: 5:02:21 time: 0.210 data_time: 0.024 memory: 5148 grad_norm: 8.1155 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7346 loss: 0.7346 2022/06/28 17:35:47 - mmengine - INFO - Epoch(train) [82][3000/3757] lr: 1.000e-04 eta: 5:02:16 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 8.4376 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4643 loss: 1.4643 2022/06/28 17:35:51 - mmengine - INFO - Epoch(train) [82][3020/3757] lr: 1.000e-04 eta: 5:02:10 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 7.5814 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1004 loss: 1.1004 2022/06/28 17:35:57 - mmengine - INFO - Epoch(train) [82][3040/3757] lr: 1.000e-04 eta: 5:02:05 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 7.4357 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2536 loss: 1.2536 2022/06/28 17:36:02 - mmengine - INFO - Epoch(train) [82][3060/3757] lr: 1.000e-04 eta: 5:02:00 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 8.8457 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2923 loss: 1.2923 2022/06/28 17:36:07 - mmengine - INFO - Epoch(train) [82][3080/3757] lr: 1.000e-04 eta: 5:01:54 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 7.7058 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0086 loss: 1.0086 2022/06/28 17:36:13 - mmengine - INFO - Epoch(train) [82][3100/3757] lr: 1.000e-04 eta: 5:01:49 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 8.0937 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1782 loss: 1.1782 2022/06/28 17:36:19 - mmengine - INFO - Epoch(train) [82][3120/3757] lr: 1.000e-04 eta: 5:01:44 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 9.2585 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9748 loss: 0.9748 2022/06/28 17:36:23 - mmengine - INFO - Epoch(train) [82][3140/3757] lr: 1.000e-04 eta: 5:01:39 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 8.0281 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6444 loss: 1.6444 2022/06/28 17:36:29 - mmengine - INFO - Epoch(train) [82][3160/3757] lr: 1.000e-04 eta: 5:01:34 time: 0.200 data_time: 0.022 memory: 5148 grad_norm: 9.1790 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1240 loss: 1.1240 2022/06/28 17:36:35 - mmengine - INFO - Epoch(train) [82][3180/3757] lr: 1.000e-04 eta: 5:01:28 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 6.4657 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0357 loss: 1.0357 2022/06/28 17:36:40 - mmengine - INFO - Epoch(train) [82][3200/3757] lr: 1.000e-04 eta: 5:01:23 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 8.9477 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0404 loss: 1.0404 2022/06/28 17:36:45 - mmengine - INFO - Epoch(train) [82][3220/3757] lr: 1.000e-04 eta: 5:01:18 time: 0.207 data_time: 0.028 memory: 5148 grad_norm: 8.8861 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4382 loss: 1.4382 2022/06/28 17:36:50 - mmengine - INFO - Epoch(train) [82][3240/3757] lr: 1.000e-04 eta: 5:01:12 time: 0.203 data_time: 0.014 memory: 5148 grad_norm: 9.6644 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1429 loss: 1.1429 2022/06/28 17:36:55 - mmengine - INFO - Epoch(train) [82][3260/3757] lr: 1.000e-04 eta: 5:01:07 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 10.4417 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9915 loss: 0.9915 2022/06/28 17:37:01 - mmengine - INFO - Epoch(train) [82][3280/3757] lr: 1.000e-04 eta: 5:01:02 time: 0.232 data_time: 0.020 memory: 5148 grad_norm: 8.8425 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1708 loss: 1.1708 2022/06/28 17:37:06 - mmengine - INFO - Epoch(train) [82][3300/3757] lr: 1.000e-04 eta: 5:00:56 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 9.5678 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0534 loss: 1.0534 2022/06/28 17:37:12 - mmengine - INFO - Epoch(train) [82][3320/3757] lr: 1.000e-04 eta: 5:00:51 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 8.6685 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1864 loss: 1.1864 2022/06/28 17:37:17 - mmengine - INFO - Epoch(train) [82][3340/3757] lr: 1.000e-04 eta: 5:00:46 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 9.8568 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2163 loss: 1.2163 2022/06/28 17:37:22 - mmengine - INFO - Epoch(train) [82][3360/3757] lr: 1.000e-04 eta: 5:00:40 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 10.5920 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0776 loss: 1.0776 2022/06/28 17:37:27 - mmengine - INFO - Epoch(train) [82][3380/3757] lr: 1.000e-04 eta: 5:00:35 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 10.7709 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0378 loss: 1.0378 2022/06/28 17:37:32 - mmengine - INFO - Epoch(train) [82][3400/3757] lr: 1.000e-04 eta: 5:00:30 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 9.6498 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2060 loss: 1.2060 2022/06/28 17:37:38 - mmengine - INFO - Epoch(train) [82][3420/3757] lr: 1.000e-04 eta: 5:00:24 time: 0.202 data_time: 0.018 memory: 5148 grad_norm: 9.1497 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4872 loss: 1.4872 2022/06/28 17:37:44 - mmengine - INFO - Epoch(train) [82][3440/3757] lr: 1.000e-04 eta: 5:00:19 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 8.9856 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3133 loss: 1.3133 2022/06/28 17:37:48 - mmengine - INFO - Epoch(train) [82][3460/3757] lr: 1.000e-04 eta: 5:00:14 time: 0.197 data_time: 0.015 memory: 5148 grad_norm: 11.3054 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2205 loss: 1.2205 2022/06/28 17:37:53 - mmengine - INFO - Epoch(train) [82][3480/3757] lr: 1.000e-04 eta: 5:00:08 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 9.2814 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4718 loss: 1.4718 2022/06/28 17:37:58 - mmengine - INFO - Epoch(train) [82][3500/3757] lr: 1.000e-04 eta: 5:00:03 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 9.0500 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0513 loss: 1.0513 2022/06/28 17:38:04 - mmengine - INFO - Epoch(train) [82][3520/3757] lr: 1.000e-04 eta: 4:59:58 time: 0.215 data_time: 0.015 memory: 5148 grad_norm: 9.6133 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0059 loss: 1.0059 2022/06/28 17:38:09 - mmengine - INFO - Epoch(train) [82][3540/3757] lr: 1.000e-04 eta: 4:59:52 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 9.5007 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2516 loss: 1.2516 2022/06/28 17:38:14 - mmengine - INFO - Epoch(train) [82][3560/3757] lr: 1.000e-04 eta: 4:59:47 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 9.2800 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0520 loss: 1.0520 2022/06/28 17:38:20 - mmengine - INFO - Epoch(train) [82][3580/3757] lr: 1.000e-04 eta: 4:59:42 time: 0.211 data_time: 0.016 memory: 5148 grad_norm: 8.8918 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9592 loss: 0.9592 2022/06/28 17:38:25 - mmengine - INFO - Epoch(train) [82][3600/3757] lr: 1.000e-04 eta: 4:59:36 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 9.2822 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2466 loss: 1.2466 2022/06/28 17:38:31 - mmengine - INFO - Epoch(train) [82][3620/3757] lr: 1.000e-04 eta: 4:59:31 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 8.8485 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0007 loss: 1.0007 2022/06/28 17:38:36 - mmengine - INFO - Epoch(train) [82][3640/3757] lr: 1.000e-04 eta: 4:59:26 time: 0.211 data_time: 0.032 memory: 5148 grad_norm: 9.3351 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0707 loss: 1.0707 2022/06/28 17:38:41 - mmengine - INFO - Epoch(train) [82][3660/3757] lr: 1.000e-04 eta: 4:59:21 time: 0.212 data_time: 0.008 memory: 5148 grad_norm: 9.0252 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2479 loss: 1.2479 2022/06/28 17:38:46 - mmengine - INFO - Epoch(train) [82][3680/3757] lr: 1.000e-04 eta: 4:59:15 time: 0.203 data_time: 0.021 memory: 5148 grad_norm: 11.1455 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4254 loss: 1.4254 2022/06/28 17:38:47 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 17:38:52 - mmengine - INFO - Epoch(train) [82][3700/3757] lr: 1.000e-04 eta: 4:59:10 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 8.1404 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9076 loss: 0.9076 2022/06/28 17:38:57 - mmengine - INFO - Epoch(train) [82][3720/3757] lr: 1.000e-04 eta: 4:59:05 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 7.9688 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1674 loss: 1.1674 2022/06/28 17:39:02 - mmengine - INFO - Epoch(train) [82][3740/3757] lr: 1.000e-04 eta: 4:58:59 time: 0.206 data_time: 0.017 memory: 5148 grad_norm: 8.0174 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0954 loss: 1.0954 2022/06/28 17:39:06 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 17:39:13 - mmengine - INFO - Epoch(val) [82][20/310] eta: 0:01:20 time: 0.422 data_time: 0.335 memory: 5148 2022/06/28 17:39:17 - mmengine - INFO - Epoch(val) [82][40/310] eta: 0:00:59 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 17:39:23 - mmengine - INFO - Epoch(val) [82][60/310] eta: 0:01:01 time: 0.449 data_time: 0.378 memory: 1367 2022/06/28 17:39:28 - mmengine - INFO - Epoch(val) [82][80/310] eta: 0:00:52 time: 0.080 data_time: 0.008 memory: 1367 2022/06/28 17:39:34 - mmengine - INFO - Epoch(val) [82][100/310] eta: 0:00:57 time: 0.371 data_time: 0.295 memory: 1367 2022/06/28 17:39:38 - mmengine - INFO - Epoch(val) [82][120/310] eta: 0:00:44 time: 0.080 data_time: 0.008 memory: 1367 2022/06/28 17:39:45 - mmengine - INFO - Epoch(val) [82][140/310] eta: 0:01:04 time: 1.281 data_time: 1.204 memory: 1367 2022/06/28 17:39:49 - mmengine - INFO - Epoch(val) [82][160/310] eta: 0:00:34 time: 0.078 data_time: 0.005 memory: 1367 2022/06/28 17:39:55 - mmengine - INFO - Epoch(val) [82][180/310] eta: 0:00:48 time: 1.727 data_time: 1.649 memory: 1367 2022/06/28 17:40:00 - mmengine - INFO - Epoch(val) [82][200/310] eta: 0:00:25 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 17:40:06 - mmengine - INFO - Epoch(val) [82][220/310] eta: 0:00:33 time: 1.338 data_time: 1.267 memory: 1367 2022/06/28 17:40:10 - mmengine - INFO - Epoch(val) [82][240/310] eta: 0:00:14 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 17:40:16 - mmengine - INFO - Epoch(val) [82][260/310] eta: 0:00:18 time: 1.478 data_time: 1.402 memory: 1367 2022/06/28 17:40:21 - mmengine - INFO - Epoch(val) [82][280/310] eta: 0:00:06 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 17:40:27 - mmengine - INFO - Epoch(val) [82][300/310] eta: 0:00:03 time: 1.446 data_time: 1.375 memory: 1367 2022/06/28 17:40:31 - mmengine - INFO - Epoch(val) [82][310/310] acc/top1: 0.6597 acc/top5: 0.8613 acc/mean1: 0.6596 2022/06/28 17:40:40 - mmengine - INFO - Epoch(train) [83][20/3757] lr: 1.000e-04 eta: 4:58:50 time: 0.202 data_time: 0.013 memory: 5148 grad_norm: 9.0092 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1350 loss: 1.1350 2022/06/28 17:40:45 - mmengine - INFO - Epoch(train) [83][40/3757] lr: 1.000e-04 eta: 4:58:44 time: 0.214 data_time: 0.026 memory: 5148 grad_norm: 7.8759 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2363 loss: 1.2363 2022/06/28 17:40:51 - mmengine - INFO - Epoch(train) [83][60/3757] lr: 1.000e-04 eta: 4:58:39 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 8.3211 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1460 loss: 1.1460 2022/06/28 17:40:56 - mmengine - INFO - Epoch(train) [83][80/3757] lr: 1.000e-04 eta: 4:58:34 time: 0.219 data_time: 0.007 memory: 5148 grad_norm: 8.5077 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3208 loss: 1.3208 2022/06/28 17:41:01 - mmengine - INFO - Epoch(train) [83][100/3757] lr: 1.000e-04 eta: 4:58:28 time: 0.240 data_time: 0.018 memory: 5148 grad_norm: 8.2866 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0156 loss: 1.0156 2022/06/28 17:41:06 - mmengine - INFO - Epoch(train) [83][120/3757] lr: 1.000e-04 eta: 4:58:23 time: 0.193 data_time: 0.008 memory: 5148 grad_norm: 10.1046 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0839 loss: 1.0839 2022/06/28 17:41:12 - mmengine - INFO - Epoch(train) [83][140/3757] lr: 1.000e-04 eta: 4:58:18 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 9.1815 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3083 loss: 1.3083 2022/06/28 17:41:17 - mmengine - INFO - Epoch(train) [83][160/3757] lr: 1.000e-04 eta: 4:58:13 time: 0.415 data_time: 0.007 memory: 5148 grad_norm: 10.5089 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0564 loss: 1.0564 2022/06/28 17:41:22 - mmengine - INFO - Epoch(train) [83][180/3757] lr: 1.000e-04 eta: 4:58:07 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 7.9221 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.7983 loss: 0.7983 2022/06/28 17:41:28 - mmengine - INFO - Epoch(train) [83][200/3757] lr: 1.000e-04 eta: 4:58:02 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 8.8391 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1209 loss: 1.1209 2022/06/28 17:41:34 - mmengine - INFO - Epoch(train) [83][220/3757] lr: 1.000e-04 eta: 4:57:57 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 8.3925 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1670 loss: 1.1670 2022/06/28 17:41:39 - mmengine - INFO - Epoch(train) [83][240/3757] lr: 1.000e-04 eta: 4:57:51 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 8.6956 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3062 loss: 1.3062 2022/06/28 17:41:44 - mmengine - INFO - Epoch(train) [83][260/3757] lr: 1.000e-04 eta: 4:57:46 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 7.9526 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0441 loss: 1.0441 2022/06/28 17:41:50 - mmengine - INFO - Epoch(train) [83][280/3757] lr: 1.000e-04 eta: 4:57:41 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 8.0293 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0303 loss: 1.0303 2022/06/28 17:41:55 - mmengine - INFO - Epoch(train) [83][300/3757] lr: 1.000e-04 eta: 4:57:36 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 9.0268 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3626 loss: 1.3626 2022/06/28 17:42:00 - mmengine - INFO - Epoch(train) [83][320/3757] lr: 1.000e-04 eta: 4:57:30 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 8.0531 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0252 loss: 1.0252 2022/06/28 17:42:05 - mmengine - INFO - Epoch(train) [83][340/3757] lr: 1.000e-04 eta: 4:57:25 time: 0.209 data_time: 0.014 memory: 5148 grad_norm: 8.0009 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1638 loss: 1.1638 2022/06/28 17:42:10 - mmengine - INFO - Epoch(train) [83][360/3757] lr: 1.000e-04 eta: 4:57:20 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 9.6443 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4054 loss: 1.4054 2022/06/28 17:42:16 - mmengine - INFO - Epoch(train) [83][380/3757] lr: 1.000e-04 eta: 4:57:14 time: 0.211 data_time: 0.008 memory: 5148 grad_norm: 7.8340 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9913 loss: 0.9913 2022/06/28 17:42:22 - mmengine - INFO - Epoch(train) [83][400/3757] lr: 1.000e-04 eta: 4:57:09 time: 0.203 data_time: 0.014 memory: 5148 grad_norm: 8.5134 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1240 loss: 1.1240 2022/06/28 17:42:27 - mmengine - INFO - Epoch(train) [83][420/3757] lr: 1.000e-04 eta: 4:57:04 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 8.7413 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3814 loss: 1.3814 2022/06/28 17:42:32 - mmengine - INFO - Epoch(train) [83][440/3757] lr: 1.000e-04 eta: 4:56:58 time: 0.213 data_time: 0.011 memory: 5148 grad_norm: 9.9374 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0654 loss: 1.0654 2022/06/28 17:42:37 - mmengine - INFO - Epoch(train) [83][460/3757] lr: 1.000e-04 eta: 4:56:53 time: 0.210 data_time: 0.015 memory: 5148 grad_norm: 9.0316 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3941 loss: 1.3941 2022/06/28 17:42:42 - mmengine - INFO - Epoch(train) [83][480/3757] lr: 1.000e-04 eta: 4:56:48 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 10.4997 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8725 loss: 0.8725 2022/06/28 17:42:47 - mmengine - INFO - Epoch(train) [83][500/3757] lr: 1.000e-04 eta: 4:56:42 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 7.4742 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0120 loss: 1.0120 2022/06/28 17:42:53 - mmengine - INFO - Epoch(train) [83][520/3757] lr: 1.000e-04 eta: 4:56:37 time: 0.207 data_time: 0.015 memory: 5148 grad_norm: 7.9899 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.8846 loss: 0.8846 2022/06/28 17:42:58 - mmengine - INFO - Epoch(train) [83][540/3757] lr: 1.000e-04 eta: 4:56:32 time: 0.211 data_time: 0.008 memory: 5148 grad_norm: 7.1142 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0305 loss: 1.0305 2022/06/28 17:43:03 - mmengine - INFO - Epoch(train) [83][560/3757] lr: 1.000e-04 eta: 4:56:26 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 7.9960 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3282 loss: 1.3282 2022/06/28 17:43:09 - mmengine - INFO - Epoch(train) [83][580/3757] lr: 1.000e-04 eta: 4:56:21 time: 0.210 data_time: 0.022 memory: 5148 grad_norm: 7.9360 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1488 loss: 1.1488 2022/06/28 17:43:14 - mmengine - INFO - Epoch(train) [83][600/3757] lr: 1.000e-04 eta: 4:56:16 time: 0.212 data_time: 0.012 memory: 5148 grad_norm: 8.8629 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2313 loss: 1.2313 2022/06/28 17:43:19 - mmengine - INFO - Epoch(train) [83][620/3757] lr: 1.000e-04 eta: 4:56:11 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 9.1959 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2066 loss: 1.2066 2022/06/28 17:43:25 - mmengine - INFO - Epoch(train) [83][640/3757] lr: 1.000e-04 eta: 4:56:05 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 9.0416 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2317 loss: 1.2317 2022/06/28 17:43:30 - mmengine - INFO - Epoch(train) [83][660/3757] lr: 1.000e-04 eta: 4:56:00 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 7.2325 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2073 loss: 1.2073 2022/06/28 17:43:35 - mmengine - INFO - Epoch(train) [83][680/3757] lr: 1.000e-04 eta: 4:55:55 time: 0.214 data_time: 0.008 memory: 5148 grad_norm: 10.0883 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1940 loss: 1.1940 2022/06/28 17:43:40 - mmengine - INFO - Epoch(train) [83][700/3757] lr: 1.000e-04 eta: 4:55:49 time: 0.363 data_time: 0.010 memory: 5148 grad_norm: 8.7603 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2093 loss: 1.2093 2022/06/28 17:43:45 - mmengine - INFO - Epoch(train) [83][720/3757] lr: 1.000e-04 eta: 4:55:44 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 9.4505 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2323 loss: 1.2323 2022/06/28 17:43:51 - mmengine - INFO - Epoch(train) [83][740/3757] lr: 1.000e-04 eta: 4:55:39 time: 0.205 data_time: 0.006 memory: 5148 grad_norm: 8.5854 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0600 loss: 1.0600 2022/06/28 17:43:56 - mmengine - INFO - Epoch(train) [83][760/3757] lr: 1.000e-04 eta: 4:55:33 time: 0.281 data_time: 0.016 memory: 5148 grad_norm: 7.4469 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2842 loss: 1.2842 2022/06/28 17:44:01 - mmengine - INFO - Epoch(train) [83][780/3757] lr: 1.000e-04 eta: 4:55:28 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 9.8107 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1345 loss: 1.1345 2022/06/28 17:44:06 - mmengine - INFO - Epoch(train) [83][800/3757] lr: 1.000e-04 eta: 4:55:23 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 7.9953 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2589 loss: 1.2589 2022/06/28 17:44:12 - mmengine - INFO - Epoch(train) [83][820/3757] lr: 1.000e-04 eta: 4:55:17 time: 0.206 data_time: 0.018 memory: 5148 grad_norm: 7.2843 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0649 loss: 1.0649 2022/06/28 17:44:17 - mmengine - INFO - Epoch(train) [83][840/3757] lr: 1.000e-04 eta: 4:55:12 time: 0.215 data_time: 0.010 memory: 5148 grad_norm: 8.4162 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1712 loss: 1.1712 2022/06/28 17:44:22 - mmengine - INFO - Epoch(train) [83][860/3757] lr: 1.000e-04 eta: 4:55:07 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 7.5189 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3092 loss: 1.3092 2022/06/28 17:44:27 - mmengine - INFO - Epoch(train) [83][880/3757] lr: 1.000e-04 eta: 4:55:01 time: 0.237 data_time: 0.010 memory: 5148 grad_norm: 9.2122 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3938 loss: 1.3938 2022/06/28 17:44:34 - mmengine - INFO - Epoch(train) [83][900/3757] lr: 1.000e-04 eta: 4:54:56 time: 0.222 data_time: 0.010 memory: 5148 grad_norm: 6.7398 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0245 loss: 1.0245 2022/06/28 17:44:38 - mmengine - INFO - Epoch(train) [83][920/3757] lr: 1.000e-04 eta: 4:54:51 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 7.7990 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1327 loss: 1.1327 2022/06/28 17:44:39 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 17:44:42 - mmengine - INFO - Epoch(train) [83][940/3757] lr: 1.000e-04 eta: 4:54:45 time: 0.223 data_time: 0.013 memory: 5148 grad_norm: 9.8736 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2716 loss: 1.2716 2022/06/28 17:44:48 - mmengine - INFO - Epoch(train) [83][960/3757] lr: 1.000e-04 eta: 4:54:40 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 5.4049 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3075 loss: 1.3075 2022/06/28 17:44:54 - mmengine - INFO - Epoch(train) [83][980/3757] lr: 1.000e-04 eta: 4:54:35 time: 0.217 data_time: 0.008 memory: 5148 grad_norm: 7.3929 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9677 loss: 0.9677 2022/06/28 17:44:59 - mmengine - INFO - Epoch(train) [83][1000/3757] lr: 1.000e-04 eta: 4:54:29 time: 0.215 data_time: 0.018 memory: 5148 grad_norm: 7.0723 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0919 loss: 1.0919 2022/06/28 17:45:04 - mmengine - INFO - Epoch(train) [83][1020/3757] lr: 1.000e-04 eta: 4:54:24 time: 0.212 data_time: 0.008 memory: 5148 grad_norm: 6.5596 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0474 loss: 1.0474 2022/06/28 17:45:09 - mmengine - INFO - Epoch(train) [83][1040/3757] lr: 1.000e-04 eta: 4:54:19 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 8.7656 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1555 loss: 1.1555 2022/06/28 17:45:14 - mmengine - INFO - Epoch(train) [83][1060/3757] lr: 1.000e-04 eta: 4:54:13 time: 0.213 data_time: 0.019 memory: 5148 grad_norm: 10.0985 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1829 loss: 1.1829 2022/06/28 17:45:20 - mmengine - INFO - Epoch(train) [83][1080/3757] lr: 1.000e-04 eta: 4:54:08 time: 0.222 data_time: 0.007 memory: 5148 grad_norm: 7.5918 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2897 loss: 1.2897 2022/06/28 17:45:25 - mmengine - INFO - Epoch(train) [83][1100/3757] lr: 1.000e-04 eta: 4:54:03 time: 0.240 data_time: 0.010 memory: 5148 grad_norm: 9.9977 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2250 loss: 1.2250 2022/06/28 17:45:31 - mmengine - INFO - Epoch(train) [83][1120/3757] lr: 1.000e-04 eta: 4:53:58 time: 0.404 data_time: 0.022 memory: 5148 grad_norm: 8.8598 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9683 loss: 0.9683 2022/06/28 17:45:36 - mmengine - INFO - Epoch(train) [83][1140/3757] lr: 1.000e-04 eta: 4:53:52 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 9.8642 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1264 loss: 1.1264 2022/06/28 17:45:41 - mmengine - INFO - Epoch(train) [83][1160/3757] lr: 1.000e-04 eta: 4:53:47 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 8.0180 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9085 loss: 0.9085 2022/06/28 17:45:47 - mmengine - INFO - Epoch(train) [83][1180/3757] lr: 1.000e-04 eta: 4:53:42 time: 0.213 data_time: 0.020 memory: 5148 grad_norm: 9.5079 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2259 loss: 1.2259 2022/06/28 17:45:52 - mmengine - INFO - Epoch(train) [83][1200/3757] lr: 1.000e-04 eta: 4:53:36 time: 0.214 data_time: 0.011 memory: 5148 grad_norm: 7.6996 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9729 loss: 0.9729 2022/06/28 17:45:57 - mmengine - INFO - Epoch(train) [83][1220/3757] lr: 1.000e-04 eta: 4:53:31 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 10.0969 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0881 loss: 1.0881 2022/06/28 17:46:02 - mmengine - INFO - Epoch(train) [83][1240/3757] lr: 1.000e-04 eta: 4:53:26 time: 0.215 data_time: 0.025 memory: 5148 grad_norm: 11.5531 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8050 loss: 1.8050 2022/06/28 17:46:08 - mmengine - INFO - Epoch(train) [83][1260/3757] lr: 1.000e-04 eta: 4:53:20 time: 0.244 data_time: 0.011 memory: 5148 grad_norm: 8.9871 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1128 loss: 1.1128 2022/06/28 17:46:12 - mmengine - INFO - Epoch(train) [83][1280/3757] lr: 1.000e-04 eta: 4:53:15 time: 0.211 data_time: 0.012 memory: 5148 grad_norm: 8.8961 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9100 loss: 0.9100 2022/06/28 17:46:18 - mmengine - INFO - Epoch(train) [83][1300/3757] lr: 1.000e-04 eta: 4:53:10 time: 0.209 data_time: 0.019 memory: 5148 grad_norm: 9.8907 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2852 loss: 1.2852 2022/06/28 17:46:23 - mmengine - INFO - Epoch(train) [83][1320/3757] lr: 1.000e-04 eta: 4:53:04 time: 0.230 data_time: 0.008 memory: 5148 grad_norm: 8.3645 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2621 loss: 1.2621 2022/06/28 17:46:28 - mmengine - INFO - Epoch(train) [83][1340/3757] lr: 1.000e-04 eta: 4:52:59 time: 0.208 data_time: 0.010 memory: 5148 grad_norm: 10.0627 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1857 loss: 1.1857 2022/06/28 17:46:34 - mmengine - INFO - Epoch(train) [83][1360/3757] lr: 1.000e-04 eta: 4:52:54 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 10.2255 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1924 loss: 1.1924 2022/06/28 17:46:39 - mmengine - INFO - Epoch(train) [83][1380/3757] lr: 1.000e-04 eta: 4:52:48 time: 0.227 data_time: 0.019 memory: 5148 grad_norm: 7.9542 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3683 loss: 1.3683 2022/06/28 17:46:45 - mmengine - INFO - Epoch(train) [83][1400/3757] lr: 1.000e-04 eta: 4:52:43 time: 0.223 data_time: 0.008 memory: 5148 grad_norm: 8.2810 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2343 loss: 1.2343 2022/06/28 17:46:49 - mmengine - INFO - Epoch(train) [83][1420/3757] lr: 1.000e-04 eta: 4:52:38 time: 0.196 data_time: 0.012 memory: 5148 grad_norm: 8.9030 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0434 loss: 1.0434 2022/06/28 17:46:55 - mmengine - INFO - Epoch(train) [83][1440/3757] lr: 1.000e-04 eta: 4:52:33 time: 0.216 data_time: 0.030 memory: 5148 grad_norm: 9.0758 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2146 loss: 1.2146 2022/06/28 17:47:01 - mmengine - INFO - Epoch(train) [83][1460/3757] lr: 1.000e-04 eta: 4:52:27 time: 0.916 data_time: 0.007 memory: 5148 grad_norm: 8.5353 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1486 loss: 1.1486 2022/06/28 17:47:06 - mmengine - INFO - Epoch(train) [83][1480/3757] lr: 1.000e-04 eta: 4:52:22 time: 0.195 data_time: 0.012 memory: 5148 grad_norm: 6.7504 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0213 loss: 1.0213 2022/06/28 17:47:11 - mmengine - INFO - Epoch(train) [83][1500/3757] lr: 1.000e-04 eta: 4:52:17 time: 0.640 data_time: 0.460 memory: 5148 grad_norm: 10.6514 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.6420 loss: 1.6420 2022/06/28 17:47:16 - mmengine - INFO - Epoch(train) [83][1520/3757] lr: 1.000e-04 eta: 4:52:11 time: 0.451 data_time: 0.008 memory: 5148 grad_norm: 9.4636 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9734 loss: 0.9734 2022/06/28 17:47:21 - mmengine - INFO - Epoch(train) [83][1540/3757] lr: 1.000e-04 eta: 4:52:06 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 11.6775 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7916 loss: 0.7916 2022/06/28 17:47:27 - mmengine - INFO - Epoch(train) [83][1560/3757] lr: 1.000e-04 eta: 4:52:01 time: 0.209 data_time: 0.006 memory: 5148 grad_norm: 9.7160 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2076 loss: 1.2076 2022/06/28 17:47:33 - mmengine - INFO - Epoch(train) [83][1580/3757] lr: 1.000e-04 eta: 4:51:55 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 7.5842 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2926 loss: 1.2926 2022/06/28 17:47:37 - mmengine - INFO - Epoch(train) [83][1600/3757] lr: 1.000e-04 eta: 4:51:50 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 10.0361 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1432 loss: 1.1432 2022/06/28 17:47:44 - mmengine - INFO - Epoch(train) [83][1620/3757] lr: 1.000e-04 eta: 4:51:45 time: 0.204 data_time: 0.018 memory: 5148 grad_norm: 8.5000 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3151 loss: 1.3151 2022/06/28 17:47:48 - mmengine - INFO - Epoch(train) [83][1640/3757] lr: 1.000e-04 eta: 4:51:39 time: 0.213 data_time: 0.008 memory: 5148 grad_norm: 11.1099 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.7024 loss: 0.7024 2022/06/28 17:47:53 - mmengine - INFO - Epoch(train) [83][1660/3757] lr: 1.000e-04 eta: 4:51:34 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 9.8450 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2288 loss: 1.2288 2022/06/28 17:47:59 - mmengine - INFO - Epoch(train) [83][1680/3757] lr: 1.000e-04 eta: 4:51:29 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 7.7579 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9345 loss: 0.9345 2022/06/28 17:48:04 - mmengine - INFO - Epoch(train) [83][1700/3757] lr: 1.000e-04 eta: 4:51:23 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 7.6753 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2593 loss: 1.2593 2022/06/28 17:48:10 - mmengine - INFO - Epoch(train) [83][1720/3757] lr: 1.000e-04 eta: 4:51:18 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 9.5399 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4316 loss: 1.4316 2022/06/28 17:48:15 - mmengine - INFO - Epoch(train) [83][1740/3757] lr: 1.000e-04 eta: 4:51:13 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 9.2855 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1367 loss: 1.1367 2022/06/28 17:48:19 - mmengine - INFO - Epoch(train) [83][1760/3757] lr: 1.000e-04 eta: 4:51:07 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 8.8011 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1042 loss: 1.1042 2022/06/28 17:48:25 - mmengine - INFO - Epoch(train) [83][1780/3757] lr: 1.000e-04 eta: 4:51:02 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 8.7198 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1764 loss: 1.1764 2022/06/28 17:48:31 - mmengine - INFO - Epoch(train) [83][1800/3757] lr: 1.000e-04 eta: 4:50:57 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 8.3158 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1292 loss: 1.1292 2022/06/28 17:48:36 - mmengine - INFO - Epoch(train) [83][1820/3757] lr: 1.000e-04 eta: 4:50:52 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 9.6869 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2633 loss: 1.2633 2022/06/28 17:48:42 - mmengine - INFO - Epoch(train) [83][1840/3757] lr: 1.000e-04 eta: 4:50:46 time: 0.214 data_time: 0.008 memory: 5148 grad_norm: 7.8455 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2832 loss: 1.2832 2022/06/28 17:48:47 - mmengine - INFO - Epoch(train) [83][1860/3757] lr: 1.000e-04 eta: 4:50:41 time: 0.208 data_time: 0.009 memory: 5148 grad_norm: 9.5750 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2412 loss: 1.2412 2022/06/28 17:48:53 - mmengine - INFO - Epoch(train) [83][1880/3757] lr: 1.000e-04 eta: 4:50:36 time: 0.212 data_time: 0.011 memory: 5148 grad_norm: 9.1538 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0588 loss: 1.0588 2022/06/28 17:48:58 - mmengine - INFO - Epoch(train) [83][1900/3757] lr: 1.000e-04 eta: 4:50:31 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 9.8940 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8448 loss: 0.8448 2022/06/28 17:49:04 - mmengine - INFO - Epoch(train) [83][1920/3757] lr: 1.000e-04 eta: 4:50:25 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 8.4201 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2878 loss: 1.2878 2022/06/28 17:49:05 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 17:49:09 - mmengine - INFO - Epoch(train) [83][1940/3757] lr: 1.000e-04 eta: 4:50:20 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 9.2819 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4531 loss: 1.4531 2022/06/28 17:49:14 - mmengine - INFO - Epoch(train) [83][1960/3757] lr: 1.000e-04 eta: 4:50:15 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 7.2203 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3207 loss: 1.3207 2022/06/28 17:49:19 - mmengine - INFO - Epoch(train) [83][1980/3757] lr: 1.000e-04 eta: 4:50:09 time: 0.215 data_time: 0.012 memory: 5148 grad_norm: 9.7243 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1855 loss: 1.1855 2022/06/28 17:49:24 - mmengine - INFO - Epoch(train) [83][2000/3757] lr: 1.000e-04 eta: 4:50:04 time: 0.211 data_time: 0.011 memory: 5148 grad_norm: 9.2262 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2967 loss: 1.2967 2022/06/28 17:49:29 - mmengine - INFO - Epoch(train) [83][2020/3757] lr: 1.000e-04 eta: 4:49:59 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 8.2857 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1499 loss: 1.1499 2022/06/28 17:49:34 - mmengine - INFO - Epoch(train) [83][2040/3757] lr: 1.000e-04 eta: 4:49:53 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 8.6165 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2702 loss: 1.2702 2022/06/28 17:49:41 - mmengine - INFO - Epoch(train) [83][2060/3757] lr: 1.000e-04 eta: 4:49:48 time: 1.314 data_time: 0.006 memory: 5148 grad_norm: 10.4191 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3209 loss: 1.3209 2022/06/28 17:49:46 - mmengine - INFO - Epoch(train) [83][2080/3757] lr: 1.000e-04 eta: 4:49:43 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 9.5574 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0024 loss: 1.0024 2022/06/28 17:49:51 - mmengine - INFO - Epoch(train) [83][2100/3757] lr: 1.000e-04 eta: 4:49:38 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 9.8102 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9874 loss: 0.9874 2022/06/28 17:49:57 - mmengine - INFO - Epoch(train) [83][2120/3757] lr: 1.000e-04 eta: 4:49:32 time: 1.324 data_time: 0.007 memory: 5148 grad_norm: 9.6690 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1503 loss: 1.1503 2022/06/28 17:50:02 - mmengine - INFO - Epoch(train) [83][2140/3757] lr: 1.000e-04 eta: 4:49:27 time: 0.195 data_time: 0.014 memory: 5148 grad_norm: 8.8293 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0559 loss: 1.0559 2022/06/28 17:50:07 - mmengine - INFO - Epoch(train) [83][2160/3757] lr: 1.000e-04 eta: 4:49:22 time: 0.227 data_time: 0.007 memory: 5148 grad_norm: 8.9022 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6150 loss: 1.6150 2022/06/28 17:50:12 - mmengine - INFO - Epoch(train) [83][2180/3757] lr: 1.000e-04 eta: 4:49:16 time: 0.274 data_time: 0.009 memory: 5148 grad_norm: 8.7528 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0760 loss: 1.0760 2022/06/28 17:50:18 - mmengine - INFO - Epoch(train) [83][2200/3757] lr: 1.000e-04 eta: 4:49:11 time: 0.199 data_time: 0.012 memory: 5148 grad_norm: 8.6430 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2081 loss: 1.2081 2022/06/28 17:50:24 - mmengine - INFO - Epoch(train) [83][2220/3757] lr: 1.000e-04 eta: 4:49:06 time: 0.233 data_time: 0.010 memory: 5148 grad_norm: 8.6799 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9698 loss: 0.9698 2022/06/28 17:50:29 - mmengine - INFO - Epoch(train) [83][2240/3757] lr: 1.000e-04 eta: 4:49:01 time: 0.218 data_time: 0.007 memory: 5148 grad_norm: 9.1025 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0183 loss: 1.0183 2022/06/28 17:50:34 - mmengine - INFO - Epoch(train) [83][2260/3757] lr: 1.000e-04 eta: 4:48:55 time: 0.206 data_time: 0.015 memory: 5148 grad_norm: 8.1597 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2209 loss: 1.2209 2022/06/28 17:50:40 - mmengine - INFO - Epoch(train) [83][2280/3757] lr: 1.000e-04 eta: 4:48:50 time: 0.240 data_time: 0.007 memory: 5148 grad_norm: 8.9081 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2325 loss: 1.2325 2022/06/28 17:50:44 - mmengine - INFO - Epoch(train) [83][2300/3757] lr: 1.000e-04 eta: 4:48:44 time: 0.214 data_time: 0.011 memory: 5148 grad_norm: 8.8547 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8968 loss: 0.8968 2022/06/28 17:50:50 - mmengine - INFO - Epoch(train) [83][2320/3757] lr: 1.000e-04 eta: 4:48:39 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 7.8572 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3150 loss: 1.3150 2022/06/28 17:50:55 - mmengine - INFO - Epoch(train) [83][2340/3757] lr: 1.000e-04 eta: 4:48:34 time: 0.213 data_time: 0.009 memory: 5148 grad_norm: 8.2518 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3426 loss: 1.3426 2022/06/28 17:51:00 - mmengine - INFO - Epoch(train) [83][2360/3757] lr: 1.000e-04 eta: 4:48:29 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 9.4894 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2032 loss: 1.2032 2022/06/28 17:51:06 - mmengine - INFO - Epoch(train) [83][2380/3757] lr: 1.000e-04 eta: 4:48:23 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 10.3102 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9564 loss: 0.9564 2022/06/28 17:51:11 - mmengine - INFO - Epoch(train) [83][2400/3757] lr: 1.000e-04 eta: 4:48:18 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 9.5433 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1017 loss: 1.1017 2022/06/28 17:51:17 - mmengine - INFO - Epoch(train) [83][2420/3757] lr: 1.000e-04 eta: 4:48:13 time: 0.206 data_time: 0.015 memory: 5148 grad_norm: 8.4178 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0768 loss: 1.0768 2022/06/28 17:51:23 - mmengine - INFO - Epoch(train) [83][2440/3757] lr: 1.000e-04 eta: 4:48:08 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 9.4764 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0352 loss: 1.0352 2022/06/28 17:51:27 - mmengine - INFO - Epoch(train) [83][2460/3757] lr: 1.000e-04 eta: 4:48:02 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 9.4132 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2950 loss: 1.2950 2022/06/28 17:51:32 - mmengine - INFO - Epoch(train) [83][2480/3757] lr: 1.000e-04 eta: 4:47:57 time: 0.213 data_time: 0.026 memory: 5148 grad_norm: 9.4184 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2892 loss: 1.2892 2022/06/28 17:51:38 - mmengine - INFO - Epoch(train) [83][2500/3757] lr: 1.000e-04 eta: 4:47:52 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 10.5300 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0816 loss: 1.0816 2022/06/28 17:51:43 - mmengine - INFO - Epoch(train) [83][2520/3757] lr: 1.000e-04 eta: 4:47:46 time: 0.205 data_time: 0.018 memory: 5148 grad_norm: 8.1244 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1092 loss: 1.1092 2022/06/28 17:51:49 - mmengine - INFO - Epoch(train) [83][2540/3757] lr: 1.000e-04 eta: 4:47:41 time: 0.222 data_time: 0.012 memory: 5148 grad_norm: 7.7876 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4300 loss: 1.4300 2022/06/28 17:51:54 - mmengine - INFO - Epoch(train) [83][2560/3757] lr: 1.000e-04 eta: 4:47:36 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 8.2707 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2027 loss: 1.2027 2022/06/28 17:51:59 - mmengine - INFO - Epoch(train) [83][2580/3757] lr: 1.000e-04 eta: 4:47:30 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 8.7038 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1555 loss: 1.1555 2022/06/28 17:52:04 - mmengine - INFO - Epoch(train) [83][2600/3757] lr: 1.000e-04 eta: 4:47:25 time: 0.205 data_time: 0.018 memory: 5148 grad_norm: 9.5898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.0997 loss: 1.0997 2022/06/28 17:52:10 - mmengine - INFO - Epoch(train) [83][2620/3757] lr: 1.000e-04 eta: 4:47:20 time: 0.273 data_time: 0.007 memory: 5148 grad_norm: 10.2665 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1031 loss: 1.1031 2022/06/28 17:52:15 - mmengine - INFO - Epoch(train) [83][2640/3757] lr: 1.000e-04 eta: 4:47:14 time: 0.194 data_time: 0.011 memory: 5148 grad_norm: 9.6686 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2356 loss: 1.2356 2022/06/28 17:52:21 - mmengine - INFO - Epoch(train) [83][2660/3757] lr: 1.000e-04 eta: 4:47:09 time: 0.212 data_time: 0.010 memory: 5148 grad_norm: 10.7675 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3668 loss: 1.3668 2022/06/28 17:52:27 - mmengine - INFO - Epoch(train) [83][2680/3757] lr: 1.000e-04 eta: 4:47:04 time: 0.798 data_time: 0.007 memory: 5148 grad_norm: 7.5823 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5138 loss: 1.5138 2022/06/28 17:52:32 - mmengine - INFO - Epoch(train) [83][2700/3757] lr: 1.000e-04 eta: 4:46:59 time: 0.207 data_time: 0.025 memory: 5148 grad_norm: 9.4849 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0064 loss: 1.0064 2022/06/28 17:52:37 - mmengine - INFO - Epoch(train) [83][2720/3757] lr: 1.000e-04 eta: 4:46:53 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 8.9239 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0293 loss: 1.0293 2022/06/28 17:52:42 - mmengine - INFO - Epoch(train) [83][2740/3757] lr: 1.000e-04 eta: 4:46:48 time: 0.508 data_time: 0.009 memory: 5148 grad_norm: 9.4448 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4079 loss: 1.4079 2022/06/28 17:52:47 - mmengine - INFO - Epoch(train) [83][2760/3757] lr: 1.000e-04 eta: 4:46:43 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 10.3557 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9887 loss: 0.9887 2022/06/28 17:52:53 - mmengine - INFO - Epoch(train) [83][2780/3757] lr: 1.000e-04 eta: 4:46:37 time: 0.206 data_time: 0.020 memory: 5148 grad_norm: 9.6447 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2259 loss: 1.2259 2022/06/28 17:52:59 - mmengine - INFO - Epoch(train) [83][2800/3757] lr: 1.000e-04 eta: 4:46:32 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 8.4948 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2435 loss: 1.2435 2022/06/28 17:53:03 - mmengine - INFO - Epoch(train) [83][2820/3757] lr: 1.000e-04 eta: 4:46:27 time: 0.202 data_time: 0.012 memory: 5148 grad_norm: 10.7098 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5634 loss: 1.5634 2022/06/28 17:53:08 - mmengine - INFO - Epoch(train) [83][2840/3757] lr: 1.000e-04 eta: 4:46:21 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 10.3196 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 0.8621 loss: 0.8621 2022/06/28 17:53:16 - mmengine - INFO - Epoch(train) [83][2860/3757] lr: 1.000e-04 eta: 4:46:17 time: 0.194 data_time: 0.009 memory: 5148 grad_norm: 7.9496 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2689 loss: 1.2689 2022/06/28 17:53:20 - mmengine - INFO - Epoch(train) [83][2880/3757] lr: 1.000e-04 eta: 4:46:11 time: 0.193 data_time: 0.006 memory: 5148 grad_norm: 8.4510 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1418 loss: 1.1418 2022/06/28 17:53:24 - mmengine - INFO - Epoch(train) [83][2900/3757] lr: 1.000e-04 eta: 4:46:05 time: 0.211 data_time: 0.012 memory: 5148 grad_norm: 8.4369 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1810 loss: 1.1810 2022/06/28 17:53:29 - mmengine - INFO - Epoch(train) [83][2920/3757] lr: 1.000e-04 eta: 4:46:00 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 11.2221 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0868 loss: 1.0868 2022/06/28 17:53:30 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 17:53:34 - mmengine - INFO - Epoch(train) [83][2940/3757] lr: 1.000e-04 eta: 4:45:55 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 8.2516 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2635 loss: 1.2635 2022/06/28 17:53:40 - mmengine - INFO - Epoch(train) [83][2960/3757] lr: 1.000e-04 eta: 4:45:49 time: 0.196 data_time: 0.014 memory: 5148 grad_norm: 8.4367 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3507 loss: 1.3507 2022/06/28 17:53:46 - mmengine - INFO - Epoch(train) [83][2980/3757] lr: 1.000e-04 eta: 4:45:44 time: 0.211 data_time: 0.008 memory: 5148 grad_norm: 9.4918 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1386 loss: 1.1386 2022/06/28 17:53:51 - mmengine - INFO - Epoch(train) [83][3000/3757] lr: 1.000e-04 eta: 4:45:39 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 10.2729 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2932 loss: 1.2932 2022/06/28 17:53:58 - mmengine - INFO - Epoch(train) [83][3020/3757] lr: 1.000e-04 eta: 4:45:34 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 9.4809 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0379 loss: 1.0379 2022/06/28 17:54:03 - mmengine - INFO - Epoch(train) [83][3040/3757] lr: 1.000e-04 eta: 4:45:29 time: 0.276 data_time: 0.007 memory: 5148 grad_norm: 10.1963 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9490 loss: 0.9490 2022/06/28 17:54:08 - mmengine - INFO - Epoch(train) [83][3060/3757] lr: 1.000e-04 eta: 4:45:23 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 9.5048 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2518 loss: 1.2518 2022/06/28 17:54:13 - mmengine - INFO - Epoch(train) [83][3080/3757] lr: 1.000e-04 eta: 4:45:18 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 9.0481 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.3177 loss: 1.3177 2022/06/28 17:54:18 - mmengine - INFO - Epoch(train) [83][3100/3757] lr: 1.000e-04 eta: 4:45:13 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 6.6567 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2927 loss: 1.2927 2022/06/28 17:54:24 - mmengine - INFO - Epoch(train) [83][3120/3757] lr: 1.000e-04 eta: 4:45:07 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 8.4836 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3604 loss: 1.3604 2022/06/28 17:54:29 - mmengine - INFO - Epoch(train) [83][3140/3757] lr: 1.000e-04 eta: 4:45:02 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 9.0785 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0573 loss: 1.0573 2022/06/28 17:54:34 - mmengine - INFO - Epoch(train) [83][3160/3757] lr: 1.000e-04 eta: 4:44:57 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 8.8316 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9352 loss: 0.9352 2022/06/28 17:54:39 - mmengine - INFO - Epoch(train) [83][3180/3757] lr: 1.000e-04 eta: 4:44:51 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 9.0737 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1127 loss: 1.1127 2022/06/28 17:54:45 - mmengine - INFO - Epoch(train) [83][3200/3757] lr: 1.000e-04 eta: 4:44:46 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 10.0388 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3995 loss: 1.3995 2022/06/28 17:54:51 - mmengine - INFO - Epoch(train) [83][3220/3757] lr: 1.000e-04 eta: 4:44:41 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 9.7368 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0256 loss: 1.0256 2022/06/28 17:54:56 - mmengine - INFO - Epoch(train) [83][3240/3757] lr: 1.000e-04 eta: 4:44:35 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 9.1569 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2678 loss: 1.2678 2022/06/28 17:55:01 - mmengine - INFO - Epoch(train) [83][3260/3757] lr: 1.000e-04 eta: 4:44:30 time: 0.222 data_time: 0.008 memory: 5148 grad_norm: 9.2703 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0629 loss: 1.0629 2022/06/28 17:55:07 - mmengine - INFO - Epoch(train) [83][3280/3757] lr: 1.000e-04 eta: 4:44:25 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 9.4029 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4138 loss: 1.4138 2022/06/28 17:55:12 - mmengine - INFO - Epoch(train) [83][3300/3757] lr: 1.000e-04 eta: 4:44:20 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 8.5817 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3163 loss: 1.3163 2022/06/28 17:55:18 - mmengine - INFO - Epoch(train) [83][3320/3757] lr: 1.000e-04 eta: 4:44:14 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 9.2233 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2573 loss: 1.2573 2022/06/28 17:55:23 - mmengine - INFO - Epoch(train) [83][3340/3757] lr: 1.000e-04 eta: 4:44:09 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 8.9920 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9976 loss: 0.9976 2022/06/28 17:55:27 - mmengine - INFO - Epoch(train) [83][3360/3757] lr: 1.000e-04 eta: 4:44:04 time: 0.199 data_time: 0.015 memory: 5148 grad_norm: 7.4945 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8966 loss: 0.8966 2022/06/28 17:55:33 - mmengine - INFO - Epoch(train) [83][3380/3757] lr: 1.000e-04 eta: 4:43:58 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 10.0110 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1684 loss: 1.1684 2022/06/28 17:55:38 - mmengine - INFO - Epoch(train) [83][3400/3757] lr: 1.000e-04 eta: 4:43:53 time: 0.208 data_time: 0.009 memory: 5148 grad_norm: 7.0974 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0589 loss: 1.0589 2022/06/28 17:55:43 - mmengine - INFO - Epoch(train) [83][3420/3757] lr: 1.000e-04 eta: 4:43:48 time: 0.236 data_time: 0.008 memory: 5148 grad_norm: 7.0751 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3219 loss: 1.3219 2022/06/28 17:55:48 - mmengine - INFO - Epoch(train) [83][3440/3757] lr: 1.000e-04 eta: 4:43:42 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 8.3978 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1509 loss: 1.1509 2022/06/28 17:55:54 - mmengine - INFO - Epoch(train) [83][3460/3757] lr: 1.000e-04 eta: 4:43:37 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 9.0721 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1966 loss: 1.1966 2022/06/28 17:55:59 - mmengine - INFO - Epoch(train) [83][3480/3757] lr: 1.000e-04 eta: 4:43:32 time: 0.216 data_time: 0.008 memory: 5148 grad_norm: 9.7112 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9495 loss: 0.9495 2022/06/28 17:56:05 - mmengine - INFO - Epoch(train) [83][3500/3757] lr: 1.000e-04 eta: 4:43:26 time: 0.203 data_time: 0.016 memory: 5148 grad_norm: 9.6992 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3343 loss: 1.3343 2022/06/28 17:56:09 - mmengine - INFO - Epoch(train) [83][3520/3757] lr: 1.000e-04 eta: 4:43:21 time: 0.206 data_time: 0.023 memory: 5148 grad_norm: 10.6325 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2916 loss: 1.2916 2022/06/28 17:56:15 - mmengine - INFO - Epoch(train) [83][3540/3757] lr: 1.000e-04 eta: 4:43:16 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 8.9228 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2645 loss: 1.2645 2022/06/28 17:56:20 - mmengine - INFO - Epoch(train) [83][3560/3757] lr: 1.000e-04 eta: 4:43:10 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 10.7002 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4898 loss: 1.4898 2022/06/28 17:56:25 - mmengine - INFO - Epoch(train) [83][3580/3757] lr: 1.000e-04 eta: 4:43:05 time: 0.334 data_time: 0.156 memory: 5148 grad_norm: 8.7534 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.5442 loss: 1.5442 2022/06/28 17:56:30 - mmengine - INFO - Epoch(train) [83][3600/3757] lr: 1.000e-04 eta: 4:43:00 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 9.4471 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8265 loss: 0.8265 2022/06/28 17:56:36 - mmengine - INFO - Epoch(train) [83][3620/3757] lr: 1.000e-04 eta: 4:42:54 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 7.5629 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1882 loss: 1.1882 2022/06/28 17:56:41 - mmengine - INFO - Epoch(train) [83][3640/3757] lr: 1.000e-04 eta: 4:42:49 time: 0.520 data_time: 0.333 memory: 5148 grad_norm: 8.9331 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3406 loss: 1.3406 2022/06/28 17:56:46 - mmengine - INFO - Epoch(train) [83][3660/3757] lr: 1.000e-04 eta: 4:42:44 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 9.0424 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2041 loss: 1.2041 2022/06/28 17:56:54 - mmengine - INFO - Epoch(train) [83][3680/3757] lr: 1.000e-04 eta: 4:42:39 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 9.2495 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2213 loss: 1.2213 2022/06/28 17:56:59 - mmengine - INFO - Epoch(train) [83][3700/3757] lr: 1.000e-04 eta: 4:42:34 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 7.3707 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9482 loss: 0.9482 2022/06/28 17:57:03 - mmengine - INFO - Epoch(train) [83][3720/3757] lr: 1.000e-04 eta: 4:42:28 time: 0.216 data_time: 0.020 memory: 5148 grad_norm: 8.8783 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4432 loss: 1.4432 2022/06/28 17:57:08 - mmengine - INFO - Epoch(train) [83][3740/3757] lr: 1.000e-04 eta: 4:42:23 time: 0.376 data_time: 0.008 memory: 5148 grad_norm: 7.6327 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4441 loss: 1.4441 2022/06/28 17:57:11 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 17:57:21 - mmengine - INFO - Epoch(val) [83][20/310] eta: 0:01:28 time: 0.091 data_time: 0.004 memory: 5148 2022/06/28 17:57:25 - mmengine - INFO - Epoch(val) [83][40/310] eta: 0:01:13 time: 0.080 data_time: 0.008 memory: 1367 2022/06/28 17:57:32 - mmengine - INFO - Epoch(val) [83][60/310] eta: 0:01:04 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 17:57:37 - mmengine - INFO - Epoch(val) [83][80/310] eta: 0:00:49 time: 0.081 data_time: 0.004 memory: 1367 2022/06/28 17:57:43 - mmengine - INFO - Epoch(val) [83][100/310] eta: 0:01:10 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 17:57:49 - mmengine - INFO - Epoch(val) [83][120/310] eta: 0:00:26 time: 0.075 data_time: 0.004 memory: 1367 2022/06/28 17:57:55 - mmengine - INFO - Epoch(val) [83][140/310] eta: 0:00:35 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 17:57:59 - mmengine - INFO - Epoch(val) [83][160/310] eta: 0:00:33 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 17:58:06 - mmengine - INFO - Epoch(val) [83][180/310] eta: 0:00:29 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 17:58:10 - mmengine - INFO - Epoch(val) [83][200/310] eta: 0:00:28 time: 0.088 data_time: 0.005 memory: 1367 2022/06/28 17:58:16 - mmengine - INFO - Epoch(val) [83][220/310] eta: 0:00:21 time: 0.091 data_time: 0.004 memory: 1367 2022/06/28 17:58:21 - mmengine - INFO - Epoch(val) [83][240/310] eta: 0:00:16 time: 0.078 data_time: 0.005 memory: 1367 2022/06/28 17:58:27 - mmengine - INFO - Epoch(val) [83][260/310] eta: 0:00:11 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 17:58:31 - mmengine - INFO - Epoch(val) [83][280/310] eta: 0:00:06 time: 0.079 data_time: 0.005 memory: 1367 2022/06/28 17:58:35 - mmengine - INFO - Epoch(val) [83][300/310] eta: 0:00:01 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 17:58:37 - mmengine - INFO - Epoch(val) [83][310/310] acc/top1: 0.6592 acc/top5: 0.8631 acc/mean1: 0.6591 2022/06/28 17:58:48 - mmengine - INFO - Epoch(train) [84][20/3757] lr: 1.000e-04 eta: 4:42:13 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 8.7887 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9646 loss: 0.9646 2022/06/28 17:58:52 - mmengine - INFO - Epoch(train) [84][40/3757] lr: 1.000e-04 eta: 4:42:08 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 9.7172 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3436 loss: 1.3436 2022/06/28 17:58:56 - mmengine - INFO - Epoch(train) [84][60/3757] lr: 1.000e-04 eta: 4:42:02 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 9.4292 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9545 loss: 0.9545 2022/06/28 17:59:02 - mmengine - INFO - Epoch(train) [84][80/3757] lr: 1.000e-04 eta: 4:41:57 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 8.6299 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9669 loss: 0.9669 2022/06/28 17:59:08 - mmengine - INFO - Epoch(train) [84][100/3757] lr: 1.000e-04 eta: 4:41:52 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 7.8755 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3961 loss: 1.3961 2022/06/28 17:59:13 - mmengine - INFO - Epoch(train) [84][120/3757] lr: 1.000e-04 eta: 4:41:47 time: 0.204 data_time: 0.014 memory: 5148 grad_norm: 8.2370 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2049 loss: 1.2049 2022/06/28 17:59:18 - mmengine - INFO - Epoch(train) [84][140/3757] lr: 1.000e-04 eta: 4:41:41 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 10.0638 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3419 loss: 1.3419 2022/06/28 17:59:23 - mmengine - INFO - Epoch(train) [84][160/3757] lr: 1.000e-04 eta: 4:41:36 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 8.4664 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1665 loss: 1.1665 2022/06/28 17:59:25 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 17:59:28 - mmengine - INFO - Epoch(train) [84][180/3757] lr: 1.000e-04 eta: 4:41:31 time: 0.212 data_time: 0.020 memory: 5148 grad_norm: 8.4374 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2229 loss: 1.2229 2022/06/28 17:59:34 - mmengine - INFO - Epoch(train) [84][200/3757] lr: 1.000e-04 eta: 4:41:25 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 8.5207 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8967 loss: 0.8967 2022/06/28 17:59:39 - mmengine - INFO - Epoch(train) [84][220/3757] lr: 1.000e-04 eta: 4:41:20 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 9.8252 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0045 loss: 1.0045 2022/06/28 17:59:44 - mmengine - INFO - Epoch(train) [84][240/3757] lr: 1.000e-04 eta: 4:41:15 time: 0.201 data_time: 0.023 memory: 5148 grad_norm: 9.9230 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.2802 loss: 1.2802 2022/06/28 17:59:50 - mmengine - INFO - Epoch(train) [84][260/3757] lr: 1.000e-04 eta: 4:41:10 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 9.5961 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0919 loss: 1.0919 2022/06/28 17:59:55 - mmengine - INFO - Epoch(train) [84][280/3757] lr: 1.000e-04 eta: 4:41:04 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 8.7537 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1869 loss: 1.1869 2022/06/28 18:00:00 - mmengine - INFO - Epoch(train) [84][300/3757] lr: 1.000e-04 eta: 4:40:59 time: 0.222 data_time: 0.035 memory: 5148 grad_norm: 9.7163 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9048 loss: 0.9048 2022/06/28 18:00:07 - mmengine - INFO - Epoch(train) [84][320/3757] lr: 1.000e-04 eta: 4:40:54 time: 0.203 data_time: 0.022 memory: 5148 grad_norm: 8.2772 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1697 loss: 1.1697 2022/06/28 18:00:12 - mmengine - INFO - Epoch(train) [84][340/3757] lr: 1.000e-04 eta: 4:40:48 time: 0.210 data_time: 0.006 memory: 5148 grad_norm: 10.9428 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2754 loss: 1.2754 2022/06/28 18:00:17 - mmengine - INFO - Epoch(train) [84][360/3757] lr: 1.000e-04 eta: 4:40:43 time: 0.211 data_time: 0.028 memory: 5148 grad_norm: 8.8961 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0476 loss: 1.0476 2022/06/28 18:00:23 - mmengine - INFO - Epoch(train) [84][380/3757] lr: 1.000e-04 eta: 4:40:38 time: 0.252 data_time: 0.008 memory: 5148 grad_norm: 9.3525 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3069 loss: 1.3069 2022/06/28 18:00:28 - mmengine - INFO - Epoch(train) [84][400/3757] lr: 1.000e-04 eta: 4:40:33 time: 0.200 data_time: 0.006 memory: 5148 grad_norm: 9.2481 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2689 loss: 1.2689 2022/06/28 18:00:34 - mmengine - INFO - Epoch(train) [84][420/3757] lr: 1.000e-04 eta: 4:40:27 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 8.5696 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3172 loss: 1.3172 2022/06/28 18:00:39 - mmengine - INFO - Epoch(train) [84][440/3757] lr: 1.000e-04 eta: 4:40:22 time: 0.215 data_time: 0.011 memory: 5148 grad_norm: 8.9032 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3625 loss: 1.3625 2022/06/28 18:00:44 - mmengine - INFO - Epoch(train) [84][460/3757] lr: 1.000e-04 eta: 4:40:17 time: 0.208 data_time: 0.021 memory: 5148 grad_norm: 6.6028 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8454 loss: 0.8454 2022/06/28 18:00:49 - mmengine - INFO - Epoch(train) [84][480/3757] lr: 1.000e-04 eta: 4:40:11 time: 0.209 data_time: 0.025 memory: 5148 grad_norm: 7.8624 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2435 loss: 1.2435 2022/06/28 18:00:54 - mmengine - INFO - Epoch(train) [84][500/3757] lr: 1.000e-04 eta: 4:40:06 time: 0.210 data_time: 0.014 memory: 5148 grad_norm: 8.5343 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1717 loss: 1.1717 2022/06/28 18:01:00 - mmengine - INFO - Epoch(train) [84][520/3757] lr: 1.000e-04 eta: 4:40:01 time: 0.225 data_time: 0.016 memory: 5148 grad_norm: 10.0995 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3138 loss: 1.3138 2022/06/28 18:01:05 - mmengine - INFO - Epoch(train) [84][540/3757] lr: 1.000e-04 eta: 4:39:55 time: 0.203 data_time: 0.013 memory: 5148 grad_norm: 7.7689 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9787 loss: 0.9787 2022/06/28 18:01:11 - mmengine - INFO - Epoch(train) [84][560/3757] lr: 1.000e-04 eta: 4:39:50 time: 0.206 data_time: 0.019 memory: 5148 grad_norm: 7.1249 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1695 loss: 1.1695 2022/06/28 18:01:17 - mmengine - INFO - Epoch(train) [84][580/3757] lr: 1.000e-04 eta: 4:39:45 time: 0.238 data_time: 0.006 memory: 5148 grad_norm: 9.6637 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9154 loss: 0.9154 2022/06/28 18:01:21 - mmengine - INFO - Epoch(train) [84][600/3757] lr: 1.000e-04 eta: 4:39:39 time: 0.211 data_time: 0.011 memory: 5148 grad_norm: 9.5407 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.9869 loss: 0.9869 2022/06/28 18:01:26 - mmengine - INFO - Epoch(train) [84][620/3757] lr: 1.000e-04 eta: 4:39:34 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 8.5629 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1744 loss: 1.1744 2022/06/28 18:01:32 - mmengine - INFO - Epoch(train) [84][640/3757] lr: 1.000e-04 eta: 4:39:29 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 10.3203 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2858 loss: 1.2858 2022/06/28 18:01:36 - mmengine - INFO - Epoch(train) [84][660/3757] lr: 1.000e-04 eta: 4:39:23 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 10.5465 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9203 loss: 0.9203 2022/06/28 18:01:42 - mmengine - INFO - Epoch(train) [84][680/3757] lr: 1.000e-04 eta: 4:39:18 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 7.7258 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8613 loss: 0.8613 2022/06/28 18:01:47 - mmengine - INFO - Epoch(train) [84][700/3757] lr: 1.000e-04 eta: 4:39:13 time: 0.204 data_time: 0.009 memory: 5148 grad_norm: 10.1088 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3027 loss: 1.3027 2022/06/28 18:01:53 - mmengine - INFO - Epoch(train) [84][720/3757] lr: 1.000e-04 eta: 4:39:07 time: 0.207 data_time: 0.024 memory: 5148 grad_norm: 8.8599 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4426 loss: 1.4426 2022/06/28 18:01:58 - mmengine - INFO - Epoch(train) [84][740/3757] lr: 1.000e-04 eta: 4:39:02 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 6.8043 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0018 loss: 1.0018 2022/06/28 18:02:03 - mmengine - INFO - Epoch(train) [84][760/3757] lr: 1.000e-04 eta: 4:38:57 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 9.4924 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3286 loss: 1.3286 2022/06/28 18:02:08 - mmengine - INFO - Epoch(train) [84][780/3757] lr: 1.000e-04 eta: 4:38:52 time: 0.208 data_time: 0.018 memory: 5148 grad_norm: 8.8213 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7849 loss: 0.7849 2022/06/28 18:02:14 - mmengine - INFO - Epoch(train) [84][800/3757] lr: 1.000e-04 eta: 4:38:46 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 7.4877 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0642 loss: 1.0642 2022/06/28 18:02:20 - mmengine - INFO - Epoch(train) [84][820/3757] lr: 1.000e-04 eta: 4:38:41 time: 0.937 data_time: 0.007 memory: 5148 grad_norm: 9.7991 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3637 loss: 1.3637 2022/06/28 18:02:25 - mmengine - INFO - Epoch(train) [84][840/3757] lr: 1.000e-04 eta: 4:38:36 time: 0.222 data_time: 0.016 memory: 5148 grad_norm: 8.7230 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2678 loss: 1.2678 2022/06/28 18:02:30 - mmengine - INFO - Epoch(train) [84][860/3757] lr: 1.000e-04 eta: 4:38:30 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 8.9921 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3385 loss: 1.3385 2022/06/28 18:02:35 - mmengine - INFO - Epoch(train) [84][880/3757] lr: 1.000e-04 eta: 4:38:25 time: 0.462 data_time: 0.007 memory: 5148 grad_norm: 8.6980 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1151 loss: 1.1151 2022/06/28 18:02:40 - mmengine - INFO - Epoch(train) [84][900/3757] lr: 1.000e-04 eta: 4:38:20 time: 0.210 data_time: 0.019 memory: 5148 grad_norm: 9.9128 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1026 loss: 1.1026 2022/06/28 18:02:45 - mmengine - INFO - Epoch(train) [84][920/3757] lr: 1.000e-04 eta: 4:38:14 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 10.0816 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1457 loss: 1.1457 2022/06/28 18:02:51 - mmengine - INFO - Epoch(train) [84][940/3757] lr: 1.000e-04 eta: 4:38:09 time: 0.506 data_time: 0.011 memory: 5148 grad_norm: 8.4590 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9933 loss: 0.9933 2022/06/28 18:02:56 - mmengine - INFO - Epoch(train) [84][960/3757] lr: 1.000e-04 eta: 4:38:04 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 7.2447 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2380 loss: 1.2380 2022/06/28 18:03:01 - mmengine - INFO - Epoch(train) [84][980/3757] lr: 1.000e-04 eta: 4:37:58 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 8.0481 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1318 loss: 1.1318 2022/06/28 18:03:06 - mmengine - INFO - Epoch(train) [84][1000/3757] lr: 1.000e-04 eta: 4:37:53 time: 0.421 data_time: 0.007 memory: 5148 grad_norm: 9.4996 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1076 loss: 1.1076 2022/06/28 18:03:12 - mmengine - INFO - Epoch(train) [84][1020/3757] lr: 1.000e-04 eta: 4:37:48 time: 0.212 data_time: 0.008 memory: 5148 grad_norm: 8.9637 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0285 loss: 1.0285 2022/06/28 18:03:17 - mmengine - INFO - Epoch(train) [84][1040/3757] lr: 1.000e-04 eta: 4:37:43 time: 0.212 data_time: 0.008 memory: 5148 grad_norm: 8.1988 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5658 loss: 1.5658 2022/06/28 18:03:23 - mmengine - INFO - Epoch(train) [84][1060/3757] lr: 1.000e-04 eta: 4:37:37 time: 0.220 data_time: 0.008 memory: 5148 grad_norm: 8.3730 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3989 loss: 1.3989 2022/06/28 18:03:28 - mmengine - INFO - Epoch(train) [84][1080/3757] lr: 1.000e-04 eta: 4:37:32 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 10.3959 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3029 loss: 1.3029 2022/06/28 18:03:34 - mmengine - INFO - Epoch(train) [84][1100/3757] lr: 1.000e-04 eta: 4:37:27 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 9.4015 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1997 loss: 1.1997 2022/06/28 18:03:39 - mmengine - INFO - Epoch(train) [84][1120/3757] lr: 1.000e-04 eta: 4:37:21 time: 0.245 data_time: 0.009 memory: 5148 grad_norm: 9.6129 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1532 loss: 1.1532 2022/06/28 18:03:45 - mmengine - INFO - Epoch(train) [84][1140/3757] lr: 1.000e-04 eta: 4:37:16 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 9.0173 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0679 loss: 1.0679 2022/06/28 18:03:51 - mmengine - INFO - Epoch(train) [84][1160/3757] lr: 1.000e-04 eta: 4:37:11 time: 0.211 data_time: 0.027 memory: 5148 grad_norm: 8.6447 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1880 loss: 1.1880 2022/06/28 18:03:53 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 18:03:55 - mmengine - INFO - Epoch(train) [84][1180/3757] lr: 1.000e-04 eta: 4:37:05 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 8.8133 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2165 loss: 1.2165 2022/06/28 18:04:00 - mmengine - INFO - Epoch(train) [84][1200/3757] lr: 1.000e-04 eta: 4:37:00 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 9.2740 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8169 loss: 0.8169 2022/06/28 18:04:05 - mmengine - INFO - Epoch(train) [84][1220/3757] lr: 1.000e-04 eta: 4:36:55 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 9.6626 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0455 loss: 1.0455 2022/06/28 18:04:11 - mmengine - INFO - Epoch(train) [84][1240/3757] lr: 1.000e-04 eta: 4:36:50 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 8.4890 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3205 loss: 1.3205 2022/06/28 18:04:17 - mmengine - INFO - Epoch(train) [84][1260/3757] lr: 1.000e-04 eta: 4:36:44 time: 0.205 data_time: 0.014 memory: 5148 grad_norm: 8.6488 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1365 loss: 1.1365 2022/06/28 18:04:22 - mmengine - INFO - Epoch(train) [84][1280/3757] lr: 1.000e-04 eta: 4:36:39 time: 0.213 data_time: 0.010 memory: 5148 grad_norm: 9.5788 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2815 loss: 1.2815 2022/06/28 18:04:27 - mmengine - INFO - Epoch(train) [84][1300/3757] lr: 1.000e-04 eta: 4:36:34 time: 0.199 data_time: 0.013 memory: 5148 grad_norm: 9.2954 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2687 loss: 1.2687 2022/06/28 18:04:32 - mmengine - INFO - Epoch(train) [84][1320/3757] lr: 1.000e-04 eta: 4:36:28 time: 0.227 data_time: 0.007 memory: 5148 grad_norm: 8.6097 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2054 loss: 1.2054 2022/06/28 18:04:38 - mmengine - INFO - Epoch(train) [84][1340/3757] lr: 1.000e-04 eta: 4:36:23 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 10.2999 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1815 loss: 1.1815 2022/06/28 18:04:42 - mmengine - INFO - Epoch(train) [84][1360/3757] lr: 1.000e-04 eta: 4:36:18 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 10.1666 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2599 loss: 1.2599 2022/06/28 18:04:48 - mmengine - INFO - Epoch(train) [84][1380/3757] lr: 1.000e-04 eta: 4:36:12 time: 0.223 data_time: 0.008 memory: 5148 grad_norm: 9.2972 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6814 loss: 1.6814 2022/06/28 18:04:53 - mmengine - INFO - Epoch(train) [84][1400/3757] lr: 1.000e-04 eta: 4:36:07 time: 0.216 data_time: 0.008 memory: 5148 grad_norm: 7.0825 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3202 loss: 1.3202 2022/06/28 18:04:58 - mmengine - INFO - Epoch(train) [84][1420/3757] lr: 1.000e-04 eta: 4:36:02 time: 0.223 data_time: 0.008 memory: 5148 grad_norm: 8.5656 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5321 loss: 1.5321 2022/06/28 18:05:04 - mmengine - INFO - Epoch(train) [84][1440/3757] lr: 1.000e-04 eta: 4:35:56 time: 0.344 data_time: 0.008 memory: 5148 grad_norm: 9.0517 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2390 loss: 1.2390 2022/06/28 18:05:10 - mmengine - INFO - Epoch(train) [84][1460/3757] lr: 1.000e-04 eta: 4:35:51 time: 0.207 data_time: 0.011 memory: 5148 grad_norm: 7.6400 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2519 loss: 1.2519 2022/06/28 18:05:15 - mmengine - INFO - Epoch(train) [84][1480/3757] lr: 1.000e-04 eta: 4:35:46 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 9.1287 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1679 loss: 1.1679 2022/06/28 18:05:20 - mmengine - INFO - Epoch(train) [84][1500/3757] lr: 1.000e-04 eta: 4:35:41 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 8.0575 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1075 loss: 1.1075 2022/06/28 18:05:25 - mmengine - INFO - Epoch(train) [84][1520/3757] lr: 1.000e-04 eta: 4:35:35 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 8.0895 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0206 loss: 1.0206 2022/06/28 18:05:31 - mmengine - INFO - Epoch(train) [84][1540/3757] lr: 1.000e-04 eta: 4:35:30 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 8.6527 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3351 loss: 1.3351 2022/06/28 18:05:36 - mmengine - INFO - Epoch(train) [84][1560/3757] lr: 1.000e-04 eta: 4:35:25 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 8.3633 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7350 loss: 0.7350 2022/06/28 18:05:42 - mmengine - INFO - Epoch(train) [84][1580/3757] lr: 1.000e-04 eta: 4:35:19 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 8.5416 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3953 loss: 1.3953 2022/06/28 18:05:46 - mmengine - INFO - Epoch(train) [84][1600/3757] lr: 1.000e-04 eta: 4:35:14 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 8.8539 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2392 loss: 1.2392 2022/06/28 18:05:52 - mmengine - INFO - Epoch(train) [84][1620/3757] lr: 1.000e-04 eta: 4:35:09 time: 0.197 data_time: 0.012 memory: 5148 grad_norm: 9.8974 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2635 loss: 1.2635 2022/06/28 18:05:57 - mmengine - INFO - Epoch(train) [84][1640/3757] lr: 1.000e-04 eta: 4:35:03 time: 0.208 data_time: 0.012 memory: 5148 grad_norm: 9.6720 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9348 loss: 0.9348 2022/06/28 18:06:02 - mmengine - INFO - Epoch(train) [84][1660/3757] lr: 1.000e-04 eta: 4:34:58 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 8.4996 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2733 loss: 1.2733 2022/06/28 18:06:08 - mmengine - INFO - Epoch(train) [84][1680/3757] lr: 1.000e-04 eta: 4:34:53 time: 0.190 data_time: 0.010 memory: 5148 grad_norm: 9.3532 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1568 loss: 1.1568 2022/06/28 18:06:13 - mmengine - INFO - Epoch(train) [84][1700/3757] lr: 1.000e-04 eta: 4:34:47 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 9.3315 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2423 loss: 1.2423 2022/06/28 18:06:18 - mmengine - INFO - Epoch(train) [84][1720/3757] lr: 1.000e-04 eta: 4:34:42 time: 0.207 data_time: 0.011 memory: 5148 grad_norm: 7.0767 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0632 loss: 1.0632 2022/06/28 18:06:23 - mmengine - INFO - Epoch(train) [84][1740/3757] lr: 1.000e-04 eta: 4:34:37 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 8.4643 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0753 loss: 1.0753 2022/06/28 18:06:28 - mmengine - INFO - Epoch(train) [84][1760/3757] lr: 1.000e-04 eta: 4:34:31 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 7.3153 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.3755 loss: 1.3755 2022/06/28 18:06:33 - mmengine - INFO - Epoch(train) [84][1780/3757] lr: 1.000e-04 eta: 4:34:26 time: 0.203 data_time: 0.016 memory: 5148 grad_norm: 8.3993 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8070 loss: 0.8070 2022/06/28 18:06:38 - mmengine - INFO - Epoch(train) [84][1800/3757] lr: 1.000e-04 eta: 4:34:21 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 8.7959 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2142 loss: 1.2142 2022/06/28 18:06:45 - mmengine - INFO - Epoch(train) [84][1820/3757] lr: 1.000e-04 eta: 4:34:16 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 7.9656 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1713 loss: 1.1713 2022/06/28 18:06:49 - mmengine - INFO - Epoch(train) [84][1840/3757] lr: 1.000e-04 eta: 4:34:10 time: 0.206 data_time: 0.016 memory: 5148 grad_norm: 8.3778 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1954 loss: 1.1954 2022/06/28 18:06:55 - mmengine - INFO - Epoch(train) [84][1860/3757] lr: 1.000e-04 eta: 4:34:05 time: 0.219 data_time: 0.006 memory: 5148 grad_norm: 9.9748 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4107 loss: 1.4107 2022/06/28 18:07:00 - mmengine - INFO - Epoch(train) [84][1880/3757] lr: 1.000e-04 eta: 4:34:00 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 9.6860 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2574 loss: 1.2574 2022/06/28 18:07:05 - mmengine - INFO - Epoch(train) [84][1900/3757] lr: 1.000e-04 eta: 4:33:54 time: 0.214 data_time: 0.008 memory: 5148 grad_norm: 9.3027 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1656 loss: 1.1656 2022/06/28 18:07:11 - mmengine - INFO - Epoch(train) [84][1920/3757] lr: 1.000e-04 eta: 4:33:49 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 9.4926 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2982 loss: 1.2982 2022/06/28 18:07:17 - mmengine - INFO - Epoch(train) [84][1940/3757] lr: 1.000e-04 eta: 4:33:44 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 9.7537 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9391 loss: 0.9391 2022/06/28 18:07:21 - mmengine - INFO - Epoch(train) [84][1960/3757] lr: 1.000e-04 eta: 4:33:38 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 8.6501 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0687 loss: 1.0687 2022/06/28 18:07:26 - mmengine - INFO - Epoch(train) [84][1980/3757] lr: 1.000e-04 eta: 4:33:33 time: 0.205 data_time: 0.012 memory: 5148 grad_norm: 9.1562 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5093 loss: 1.5093 2022/06/28 18:07:31 - mmengine - INFO - Epoch(train) [84][2000/3757] lr: 1.000e-04 eta: 4:33:28 time: 0.204 data_time: 0.025 memory: 5148 grad_norm: 8.0795 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2221 loss: 1.2221 2022/06/28 18:07:37 - mmengine - INFO - Epoch(train) [84][2020/3757] lr: 1.000e-04 eta: 4:33:22 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 8.1785 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9155 loss: 0.9155 2022/06/28 18:07:42 - mmengine - INFO - Epoch(train) [84][2040/3757] lr: 1.000e-04 eta: 4:33:17 time: 0.207 data_time: 0.012 memory: 5148 grad_norm: 9.0835 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1062 loss: 1.1062 2022/06/28 18:07:46 - mmengine - INFO - Epoch(train) [84][2060/3757] lr: 1.000e-04 eta: 4:33:12 time: 0.205 data_time: 0.019 memory: 5148 grad_norm: 9.4551 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3062 loss: 1.3062 2022/06/28 18:07:52 - mmengine - INFO - Epoch(train) [84][2080/3757] lr: 1.000e-04 eta: 4:33:06 time: 0.215 data_time: 0.010 memory: 5148 grad_norm: 9.7835 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9538 loss: 0.9538 2022/06/28 18:07:58 - mmengine - INFO - Epoch(train) [84][2100/3757] lr: 1.000e-04 eta: 4:33:01 time: 0.198 data_time: 0.013 memory: 5148 grad_norm: 8.3199 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1876 loss: 1.1876 2022/06/28 18:08:03 - mmengine - INFO - Epoch(train) [84][2120/3757] lr: 1.000e-04 eta: 4:32:56 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 8.9244 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5807 loss: 0.5807 2022/06/28 18:08:08 - mmengine - INFO - Epoch(train) [84][2140/3757] lr: 1.000e-04 eta: 4:32:50 time: 0.224 data_time: 0.008 memory: 5148 grad_norm: 7.3186 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1705 loss: 1.1705 2022/06/28 18:08:15 - mmengine - INFO - Epoch(train) [84][2160/3757] lr: 1.000e-04 eta: 4:32:45 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 7.9149 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4144 loss: 1.4144 2022/06/28 18:08:17 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 18:08:19 - mmengine - INFO - Epoch(train) [84][2180/3757] lr: 1.000e-04 eta: 4:32:40 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 9.0243 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3431 loss: 1.3431 2022/06/28 18:08:24 - mmengine - INFO - Epoch(train) [84][2200/3757] lr: 1.000e-04 eta: 4:32:34 time: 0.208 data_time: 0.017 memory: 5148 grad_norm: 11.6908 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2928 loss: 1.2928 2022/06/28 18:08:29 - mmengine - INFO - Epoch(train) [84][2220/3757] lr: 1.000e-04 eta: 4:32:29 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 8.7382 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2058 loss: 1.2058 2022/06/28 18:08:34 - mmengine - INFO - Epoch(train) [84][2240/3757] lr: 1.000e-04 eta: 4:32:24 time: 0.203 data_time: 0.014 memory: 5148 grad_norm: 10.9191 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0098 loss: 1.0098 2022/06/28 18:08:40 - mmengine - INFO - Epoch(train) [84][2260/3757] lr: 1.000e-04 eta: 4:32:19 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 10.6650 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4202 loss: 1.4202 2022/06/28 18:08:45 - mmengine - INFO - Epoch(train) [84][2280/3757] lr: 1.000e-04 eta: 4:32:13 time: 0.222 data_time: 0.008 memory: 5148 grad_norm: 10.6845 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0393 loss: 1.0393 2022/06/28 18:08:50 - mmengine - INFO - Epoch(train) [84][2300/3757] lr: 1.000e-04 eta: 4:32:08 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 9.6091 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3453 loss: 1.3453 2022/06/28 18:08:56 - mmengine - INFO - Epoch(train) [84][2320/3757] lr: 1.000e-04 eta: 4:32:03 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 10.7465 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5090 loss: 1.5090 2022/06/28 18:09:01 - mmengine - INFO - Epoch(train) [84][2340/3757] lr: 1.000e-04 eta: 4:31:57 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 9.2423 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2275 loss: 1.2275 2022/06/28 18:09:07 - mmengine - INFO - Epoch(train) [84][2360/3757] lr: 1.000e-04 eta: 4:31:52 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 7.6978 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2451 loss: 1.2451 2022/06/28 18:09:12 - mmengine - INFO - Epoch(train) [84][2380/3757] lr: 1.000e-04 eta: 4:31:47 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 9.4510 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1552 loss: 1.1552 2022/06/28 18:09:17 - mmengine - INFO - Epoch(train) [84][2400/3757] lr: 1.000e-04 eta: 4:31:41 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 7.7565 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3285 loss: 1.3285 2022/06/28 18:09:22 - mmengine - INFO - Epoch(train) [84][2420/3757] lr: 1.000e-04 eta: 4:31:36 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 9.0440 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2125 loss: 1.2125 2022/06/28 18:09:27 - mmengine - INFO - Epoch(train) [84][2440/3757] lr: 1.000e-04 eta: 4:31:31 time: 0.211 data_time: 0.008 memory: 5148 grad_norm: 9.7365 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9802 loss: 0.9802 2022/06/28 18:09:33 - mmengine - INFO - Epoch(train) [84][2460/3757] lr: 1.000e-04 eta: 4:31:26 time: 0.220 data_time: 0.008 memory: 5148 grad_norm: 9.9185 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3997 loss: 1.3997 2022/06/28 18:09:38 - mmengine - INFO - Epoch(train) [84][2480/3757] lr: 1.000e-04 eta: 4:31:20 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 8.7750 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0991 loss: 1.0991 2022/06/28 18:09:43 - mmengine - INFO - Epoch(train) [84][2500/3757] lr: 1.000e-04 eta: 4:31:15 time: 0.230 data_time: 0.007 memory: 5148 grad_norm: 8.6753 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1414 loss: 1.1414 2022/06/28 18:09:48 - mmengine - INFO - Epoch(train) [84][2520/3757] lr: 1.000e-04 eta: 4:31:09 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 7.9256 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4856 loss: 1.4856 2022/06/28 18:09:54 - mmengine - INFO - Epoch(train) [84][2540/3757] lr: 1.000e-04 eta: 4:31:04 time: 0.211 data_time: 0.012 memory: 5148 grad_norm: 7.5913 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4094 loss: 1.4094 2022/06/28 18:09:59 - mmengine - INFO - Epoch(train) [84][2560/3757] lr: 1.000e-04 eta: 4:30:59 time: 0.208 data_time: 0.025 memory: 5148 grad_norm: 8.9146 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9777 loss: 0.9777 2022/06/28 18:10:04 - mmengine - INFO - Epoch(train) [84][2580/3757] lr: 1.000e-04 eta: 4:30:54 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 8.2726 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8253 loss: 0.8253 2022/06/28 18:10:10 - mmengine - INFO - Epoch(train) [84][2600/3757] lr: 1.000e-04 eta: 4:30:48 time: 0.199 data_time: 0.009 memory: 5148 grad_norm: 8.8367 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2032 loss: 1.2032 2022/06/28 18:10:16 - mmengine - INFO - Epoch(train) [84][2620/3757] lr: 1.000e-04 eta: 4:30:43 time: 0.206 data_time: 0.021 memory: 5148 grad_norm: 8.3467 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9419 loss: 0.9419 2022/06/28 18:10:20 - mmengine - INFO - Epoch(train) [84][2640/3757] lr: 1.000e-04 eta: 4:30:38 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 9.1021 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3909 loss: 1.3909 2022/06/28 18:10:25 - mmengine - INFO - Epoch(train) [84][2660/3757] lr: 1.000e-04 eta: 4:30:32 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 10.1887 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.4590 loss: 1.4590 2022/06/28 18:10:31 - mmengine - INFO - Epoch(train) [84][2680/3757] lr: 1.000e-04 eta: 4:30:27 time: 0.202 data_time: 0.020 memory: 5148 grad_norm: 9.0978 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0815 loss: 1.0815 2022/06/28 18:10:36 - mmengine - INFO - Epoch(train) [84][2700/3757] lr: 1.000e-04 eta: 4:30:22 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 6.6449 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1651 loss: 1.1651 2022/06/28 18:10:42 - mmengine - INFO - Epoch(train) [84][2720/3757] lr: 1.000e-04 eta: 4:30:16 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 9.9463 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3231 loss: 1.3231 2022/06/28 18:10:47 - mmengine - INFO - Epoch(train) [84][2740/3757] lr: 1.000e-04 eta: 4:30:11 time: 0.207 data_time: 0.016 memory: 5148 grad_norm: 9.5094 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3850 loss: 1.3850 2022/06/28 18:10:52 - mmengine - INFO - Epoch(train) [84][2760/3757] lr: 1.000e-04 eta: 4:30:06 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 9.5178 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0766 loss: 1.0766 2022/06/28 18:10:57 - mmengine - INFO - Epoch(train) [84][2780/3757] lr: 1.000e-04 eta: 4:30:00 time: 0.213 data_time: 0.008 memory: 5148 grad_norm: 7.1955 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4397 loss: 1.4397 2022/06/28 18:11:02 - mmengine - INFO - Epoch(train) [84][2800/3757] lr: 1.000e-04 eta: 4:29:55 time: 0.218 data_time: 0.007 memory: 5148 grad_norm: 8.7235 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3242 loss: 1.3242 2022/06/28 18:11:08 - mmengine - INFO - Epoch(train) [84][2820/3757] lr: 1.000e-04 eta: 4:29:50 time: 0.207 data_time: 0.012 memory: 5148 grad_norm: 9.5927 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2671 loss: 1.2671 2022/06/28 18:11:13 - mmengine - INFO - Epoch(train) [84][2840/3757] lr: 1.000e-04 eta: 4:29:44 time: 0.202 data_time: 0.013 memory: 5148 grad_norm: 7.9216 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4461 loss: 1.4461 2022/06/28 18:11:19 - mmengine - INFO - Epoch(train) [84][2860/3757] lr: 1.000e-04 eta: 4:29:39 time: 0.227 data_time: 0.007 memory: 5148 grad_norm: 8.2502 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4669 loss: 1.4669 2022/06/28 18:11:23 - mmengine - INFO - Epoch(train) [84][2880/3757] lr: 1.000e-04 eta: 4:29:34 time: 0.200 data_time: 0.019 memory: 5148 grad_norm: 7.8992 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0669 loss: 1.0669 2022/06/28 18:11:29 - mmengine - INFO - Epoch(train) [84][2900/3757] lr: 1.000e-04 eta: 4:29:28 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 9.1539 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0115 loss: 1.0115 2022/06/28 18:11:34 - mmengine - INFO - Epoch(train) [84][2920/3757] lr: 1.000e-04 eta: 4:29:23 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 7.6794 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0304 loss: 1.0304 2022/06/28 18:11:39 - mmengine - INFO - Epoch(train) [84][2940/3757] lr: 1.000e-04 eta: 4:29:18 time: 0.210 data_time: 0.019 memory: 5148 grad_norm: 9.7138 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7948 loss: 0.7948 2022/06/28 18:11:45 - mmengine - INFO - Epoch(train) [84][2960/3757] lr: 1.000e-04 eta: 4:29:13 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 9.1592 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1851 loss: 1.1851 2022/06/28 18:11:50 - mmengine - INFO - Epoch(train) [84][2980/3757] lr: 1.000e-04 eta: 4:29:07 time: 0.226 data_time: 0.007 memory: 5148 grad_norm: 7.8634 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8960 loss: 0.8960 2022/06/28 18:11:55 - mmengine - INFO - Epoch(train) [84][3000/3757] lr: 1.000e-04 eta: 4:29:02 time: 0.209 data_time: 0.017 memory: 5148 grad_norm: 9.5825 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8158 loss: 0.8158 2022/06/28 18:12:00 - mmengine - INFO - Epoch(train) [84][3020/3757] lr: 1.000e-04 eta: 4:28:57 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 10.6512 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8925 loss: 0.8925 2022/06/28 18:12:05 - mmengine - INFO - Epoch(train) [84][3040/3757] lr: 1.000e-04 eta: 4:28:51 time: 0.218 data_time: 0.007 memory: 5148 grad_norm: 9.3135 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3721 loss: 1.3721 2022/06/28 18:12:11 - mmengine - INFO - Epoch(train) [84][3060/3757] lr: 1.000e-04 eta: 4:28:46 time: 0.219 data_time: 0.013 memory: 5148 grad_norm: 7.9988 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0530 loss: 1.0530 2022/06/28 18:12:16 - mmengine - INFO - Epoch(train) [84][3080/3757] lr: 1.000e-04 eta: 4:28:41 time: 0.211 data_time: 0.008 memory: 5148 grad_norm: 9.8478 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3842 loss: 1.3842 2022/06/28 18:12:21 - mmengine - INFO - Epoch(train) [84][3100/3757] lr: 1.000e-04 eta: 4:28:35 time: 0.340 data_time: 0.007 memory: 5148 grad_norm: 10.0217 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2330 loss: 1.2330 2022/06/28 18:12:28 - mmengine - INFO - Epoch(train) [84][3120/3757] lr: 1.000e-04 eta: 4:28:30 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 9.9173 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2713 loss: 1.2713 2022/06/28 18:12:33 - mmengine - INFO - Epoch(train) [84][3140/3757] lr: 1.000e-04 eta: 4:28:25 time: 0.215 data_time: 0.008 memory: 5148 grad_norm: 9.4119 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9471 loss: 0.9471 2022/06/28 18:12:37 - mmengine - INFO - Epoch(train) [84][3160/3757] lr: 1.000e-04 eta: 4:28:19 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 8.1481 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0645 loss: 1.0645 2022/06/28 18:12:39 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 18:12:43 - mmengine - INFO - Epoch(train) [84][3180/3757] lr: 1.000e-04 eta: 4:28:14 time: 0.200 data_time: 0.017 memory: 5148 grad_norm: 10.5425 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2541 loss: 1.2541 2022/06/28 18:12:48 - mmengine - INFO - Epoch(train) [84][3200/3757] lr: 1.000e-04 eta: 4:28:09 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 9.3642 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9366 loss: 0.9366 2022/06/28 18:12:53 - mmengine - INFO - Epoch(train) [84][3220/3757] lr: 1.000e-04 eta: 4:28:03 time: 0.220 data_time: 0.008 memory: 5148 grad_norm: 9.2684 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0769 loss: 1.0769 2022/06/28 18:12:59 - mmengine - INFO - Epoch(train) [84][3240/3757] lr: 1.000e-04 eta: 4:27:58 time: 0.209 data_time: 0.023 memory: 5148 grad_norm: 11.6760 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4356 loss: 1.4356 2022/06/28 18:13:04 - mmengine - INFO - Epoch(train) [84][3260/3757] lr: 1.000e-04 eta: 4:27:53 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 9.3846 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5397 loss: 1.5397 2022/06/28 18:13:09 - mmengine - INFO - Epoch(train) [84][3280/3757] lr: 1.000e-04 eta: 4:27:48 time: 0.225 data_time: 0.012 memory: 5148 grad_norm: 7.5414 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5701 loss: 1.5701 2022/06/28 18:13:15 - mmengine - INFO - Epoch(train) [84][3300/3757] lr: 1.000e-04 eta: 4:27:42 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 7.7594 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1593 loss: 1.1593 2022/06/28 18:13:20 - mmengine - INFO - Epoch(train) [84][3320/3757] lr: 1.000e-04 eta: 4:27:37 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 10.0889 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1918 loss: 1.1918 2022/06/28 18:13:25 - mmengine - INFO - Epoch(train) [84][3340/3757] lr: 1.000e-04 eta: 4:27:32 time: 0.229 data_time: 0.011 memory: 5148 grad_norm: 8.1609 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0319 loss: 1.0319 2022/06/28 18:13:31 - mmengine - INFO - Epoch(train) [84][3360/3757] lr: 1.000e-04 eta: 4:27:26 time: 0.201 data_time: 0.009 memory: 5148 grad_norm: 9.8526 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1829 loss: 1.1829 2022/06/28 18:13:36 - mmengine - INFO - Epoch(train) [84][3380/3757] lr: 1.000e-04 eta: 4:27:21 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 9.7620 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0223 loss: 1.0223 2022/06/28 18:13:42 - mmengine - INFO - Epoch(train) [84][3400/3757] lr: 1.000e-04 eta: 4:27:16 time: 0.203 data_time: 0.014 memory: 5148 grad_norm: 8.9606 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0712 loss: 1.0712 2022/06/28 18:13:47 - mmengine - INFO - Epoch(train) [84][3420/3757] lr: 1.000e-04 eta: 4:27:11 time: 0.211 data_time: 0.010 memory: 5148 grad_norm: 8.9689 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3717 loss: 1.3717 2022/06/28 18:13:53 - mmengine - INFO - Epoch(train) [84][3440/3757] lr: 1.000e-04 eta: 4:27:05 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 9.0467 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9364 loss: 0.9364 2022/06/28 18:13:58 - mmengine - INFO - Epoch(train) [84][3460/3757] lr: 1.000e-04 eta: 4:27:00 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 8.3241 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0060 loss: 1.0060 2022/06/28 18:14:03 - mmengine - INFO - Epoch(train) [84][3480/3757] lr: 1.000e-04 eta: 4:26:55 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 9.0960 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3128 loss: 1.3128 2022/06/28 18:14:10 - mmengine - INFO - Epoch(train) [84][3500/3757] lr: 1.000e-04 eta: 4:26:50 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 6.4226 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3195 loss: 1.3195 2022/06/28 18:14:15 - mmengine - INFO - Epoch(train) [84][3520/3757] lr: 1.000e-04 eta: 4:26:44 time: 0.224 data_time: 0.010 memory: 5148 grad_norm: 7.2515 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9797 loss: 0.9797 2022/06/28 18:14:20 - mmengine - INFO - Epoch(train) [84][3540/3757] lr: 1.000e-04 eta: 4:26:39 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 9.0670 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2847 loss: 1.2847 2022/06/28 18:14:25 - mmengine - INFO - Epoch(train) [84][3560/3757] lr: 1.000e-04 eta: 4:26:34 time: 0.208 data_time: 0.011 memory: 5148 grad_norm: 6.9988 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5873 loss: 1.5873 2022/06/28 18:14:30 - mmengine - INFO - Epoch(train) [84][3580/3757] lr: 1.000e-04 eta: 4:26:28 time: 0.215 data_time: 0.019 memory: 5148 grad_norm: 9.3271 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3337 loss: 1.3337 2022/06/28 18:14:35 - mmengine - INFO - Epoch(train) [84][3600/3757] lr: 1.000e-04 eta: 4:26:23 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 9.4450 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9011 loss: 0.9011 2022/06/28 18:14:41 - mmengine - INFO - Epoch(train) [84][3620/3757] lr: 1.000e-04 eta: 4:26:18 time: 0.207 data_time: 0.015 memory: 5148 grad_norm: 8.9413 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9584 loss: 0.9584 2022/06/28 18:14:46 - mmengine - INFO - Epoch(train) [84][3640/3757] lr: 1.000e-04 eta: 4:26:12 time: 0.217 data_time: 0.017 memory: 5148 grad_norm: 9.4812 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0187 loss: 1.0187 2022/06/28 18:14:52 - mmengine - INFO - Epoch(train) [84][3660/3757] lr: 1.000e-04 eta: 4:26:07 time: 0.986 data_time: 0.007 memory: 5148 grad_norm: 8.6031 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0722 loss: 1.0722 2022/06/28 18:15:03 - mmengine - INFO - Epoch(train) [84][3680/3757] lr: 1.000e-04 eta: 4:26:03 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 9.0915 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0951 loss: 1.0951 2022/06/28 18:15:08 - mmengine - INFO - Epoch(train) [84][3700/3757] lr: 1.000e-04 eta: 4:25:58 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 9.3033 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9097 loss: 0.9097 2022/06/28 18:15:12 - mmengine - INFO - Epoch(train) [84][3720/3757] lr: 1.000e-04 eta: 4:25:52 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 9.2449 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1718 loss: 1.1718 2022/06/28 18:15:18 - mmengine - INFO - Epoch(train) [84][3740/3757] lr: 1.000e-04 eta: 4:25:47 time: 0.212 data_time: 0.008 memory: 5148 grad_norm: 8.9551 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8890 loss: 0.8890 2022/06/28 18:15:21 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 18:15:28 - mmengine - INFO - Epoch(val) [84][20/310] eta: 0:01:06 time: 0.080 data_time: 0.008 memory: 5148 2022/06/28 18:15:33 - mmengine - INFO - Epoch(val) [84][40/310] eta: 0:00:57 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 18:15:39 - mmengine - INFO - Epoch(val) [84][60/310] eta: 0:01:15 time: 0.092 data_time: 0.005 memory: 1367 2022/06/28 18:15:44 - mmengine - INFO - Epoch(val) [84][80/310] eta: 0:00:47 time: 0.083 data_time: 0.006 memory: 1367 2022/06/28 18:15:50 - mmengine - INFO - Epoch(val) [84][100/310] eta: 0:01:03 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 18:15:54 - mmengine - INFO - Epoch(val) [84][120/310] eta: 0:00:43 time: 0.078 data_time: 0.008 memory: 1367 2022/06/28 18:16:01 - mmengine - INFO - Epoch(val) [84][140/310] eta: 0:00:51 time: 0.442 data_time: 0.370 memory: 1367 2022/06/28 18:16:06 - mmengine - INFO - Epoch(val) [84][160/310] eta: 0:00:40 time: 0.616 data_time: 0.540 memory: 1367 2022/06/28 18:16:11 - mmengine - INFO - Epoch(val) [84][180/310] eta: 0:00:41 time: 0.374 data_time: 0.304 memory: 1367 2022/06/28 18:16:16 - mmengine - INFO - Epoch(val) [84][200/310] eta: 0:00:26 time: 0.085 data_time: 0.009 memory: 1367 2022/06/28 18:16:23 - mmengine - INFO - Epoch(val) [84][220/310] eta: 0:00:40 time: 0.090 data_time: 0.005 memory: 1367 2022/06/28 18:16:27 - mmengine - INFO - Epoch(val) [84][240/310] eta: 0:00:14 time: 0.075 data_time: 0.005 memory: 1367 2022/06/28 18:16:33 - mmengine - INFO - Epoch(val) [84][260/310] eta: 0:00:18 time: 0.354 data_time: 0.283 memory: 1367 2022/06/28 18:16:38 - mmengine - INFO - Epoch(val) [84][280/310] eta: 0:00:06 time: 0.083 data_time: 0.006 memory: 1367 2022/06/28 18:16:44 - mmengine - INFO - Epoch(val) [84][300/310] eta: 0:00:03 time: 1.421 data_time: 1.351 memory: 1367 2022/06/28 18:16:49 - mmengine - INFO - Epoch(val) [84][310/310] acc/top1: 0.6595 acc/top5: 0.8617 acc/mean1: 0.6594 2022/06/28 18:16:57 - mmengine - INFO - Epoch(train) [85][20/3757] lr: 1.000e-04 eta: 4:25:37 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 7.5579 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2536 loss: 1.2536 2022/06/28 18:17:03 - mmengine - INFO - Epoch(train) [85][40/3757] lr: 1.000e-04 eta: 4:25:32 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 9.3907 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3089 loss: 1.3089 2022/06/28 18:17:08 - mmengine - INFO - Epoch(train) [85][60/3757] lr: 1.000e-04 eta: 4:25:27 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 8.3830 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2416 loss: 1.2416 2022/06/28 18:17:14 - mmengine - INFO - Epoch(train) [85][80/3757] lr: 1.000e-04 eta: 4:25:21 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 10.6011 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2740 loss: 1.2740 2022/06/28 18:17:19 - mmengine - INFO - Epoch(train) [85][100/3757] lr: 1.000e-04 eta: 4:25:16 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 9.1302 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0547 loss: 1.0547 2022/06/28 18:17:25 - mmengine - INFO - Epoch(train) [85][120/3757] lr: 1.000e-04 eta: 4:25:11 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 9.1874 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0405 loss: 1.0405 2022/06/28 18:17:30 - mmengine - INFO - Epoch(train) [85][140/3757] lr: 1.000e-04 eta: 4:25:06 time: 0.218 data_time: 0.008 memory: 5148 grad_norm: 8.6909 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0751 loss: 1.0751 2022/06/28 18:17:35 - mmengine - INFO - Epoch(train) [85][160/3757] lr: 1.000e-04 eta: 4:25:00 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 10.0793 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5072 loss: 1.5072 2022/06/28 18:17:40 - mmengine - INFO - Epoch(train) [85][180/3757] lr: 1.000e-04 eta: 4:24:55 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 9.2070 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3068 loss: 1.3068 2022/06/28 18:17:46 - mmengine - INFO - Epoch(train) [85][200/3757] lr: 1.000e-04 eta: 4:24:50 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 7.6798 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8187 loss: 0.8187 2022/06/28 18:17:52 - mmengine - INFO - Epoch(train) [85][220/3757] lr: 1.000e-04 eta: 4:24:44 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 7.7161 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1038 loss: 1.1038 2022/06/28 18:17:56 - mmengine - INFO - Epoch(train) [85][240/3757] lr: 1.000e-04 eta: 4:24:39 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 9.2662 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.6259 loss: 1.6259 2022/06/28 18:18:02 - mmengine - INFO - Epoch(train) [85][260/3757] lr: 1.000e-04 eta: 4:24:34 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 9.5921 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3180 loss: 1.3180 2022/06/28 18:18:07 - mmengine - INFO - Epoch(train) [85][280/3757] lr: 1.000e-04 eta: 4:24:28 time: 0.217 data_time: 0.006 memory: 5148 grad_norm: 8.9054 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1547 loss: 1.1547 2022/06/28 18:18:12 - mmengine - INFO - Epoch(train) [85][300/3757] lr: 1.000e-04 eta: 4:24:23 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 10.6295 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2222 loss: 1.2222 2022/06/28 18:18:18 - mmengine - INFO - Epoch(train) [85][320/3757] lr: 1.000e-04 eta: 4:24:18 time: 0.218 data_time: 0.008 memory: 5148 grad_norm: 8.8882 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1181 loss: 1.1181 2022/06/28 18:18:24 - mmengine - INFO - Epoch(train) [85][340/3757] lr: 1.000e-04 eta: 4:24:13 time: 0.220 data_time: 0.007 memory: 5148 grad_norm: 7.6058 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9170 loss: 0.9170 2022/06/28 18:18:29 - mmengine - INFO - Epoch(train) [85][360/3757] lr: 1.000e-04 eta: 4:24:07 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 11.3362 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2059 loss: 1.2059 2022/06/28 18:18:34 - mmengine - INFO - Epoch(train) [85][380/3757] lr: 1.000e-04 eta: 4:24:02 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 6.6372 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3576 loss: 1.3576 2022/06/28 18:18:40 - mmengine - INFO - Epoch(train) [85][400/3757] lr: 1.000e-04 eta: 4:23:57 time: 0.220 data_time: 0.007 memory: 5148 grad_norm: 8.9060 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0859 loss: 1.0859 2022/06/28 18:18:43 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 18:18:45 - mmengine - INFO - Epoch(train) [85][420/3757] lr: 1.000e-04 eta: 4:23:51 time: 0.217 data_time: 0.014 memory: 5148 grad_norm: 9.4309 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0461 loss: 1.0461 2022/06/28 18:18:51 - mmengine - INFO - Epoch(train) [85][440/3757] lr: 1.000e-04 eta: 4:23:46 time: 0.199 data_time: 0.017 memory: 5148 grad_norm: 8.5140 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1872 loss: 1.1872 2022/06/28 18:18:56 - mmengine - INFO - Epoch(train) [85][460/3757] lr: 1.000e-04 eta: 4:23:41 time: 1.254 data_time: 0.007 memory: 5148 grad_norm: 9.6201 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2827 loss: 1.2827 2022/06/28 18:19:01 - mmengine - INFO - Epoch(train) [85][480/3757] lr: 1.000e-04 eta: 4:23:35 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 8.7558 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8081 loss: 0.8081 2022/06/28 18:19:07 - mmengine - INFO - Epoch(train) [85][500/3757] lr: 1.000e-04 eta: 4:23:30 time: 0.204 data_time: 0.015 memory: 5148 grad_norm: 8.9424 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9715 loss: 0.9715 2022/06/28 18:19:12 - mmengine - INFO - Epoch(train) [85][520/3757] lr: 1.000e-04 eta: 4:23:25 time: 0.826 data_time: 0.014 memory: 5148 grad_norm: 8.0693 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4829 loss: 1.4829 2022/06/28 18:19:17 - mmengine - INFO - Epoch(train) [85][540/3757] lr: 1.000e-04 eta: 4:23:19 time: 0.205 data_time: 0.031 memory: 5148 grad_norm: 9.3134 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0735 loss: 1.0735 2022/06/28 18:19:22 - mmengine - INFO - Epoch(train) [85][560/3757] lr: 1.000e-04 eta: 4:23:14 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 9.3324 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2922 loss: 1.2922 2022/06/28 18:19:28 - mmengine - INFO - Epoch(train) [85][580/3757] lr: 1.000e-04 eta: 4:23:09 time: 0.728 data_time: 0.008 memory: 5148 grad_norm: 8.1828 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3777 loss: 1.3777 2022/06/28 18:19:32 - mmengine - INFO - Epoch(train) [85][600/3757] lr: 1.000e-04 eta: 4:23:03 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 8.8187 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9265 loss: 0.9265 2022/06/28 18:19:38 - mmengine - INFO - Epoch(train) [85][620/3757] lr: 1.000e-04 eta: 4:22:58 time: 0.202 data_time: 0.015 memory: 5148 grad_norm: 10.4126 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2871 loss: 1.2871 2022/06/28 18:19:43 - mmengine - INFO - Epoch(train) [85][640/3757] lr: 1.000e-04 eta: 4:22:53 time: 0.407 data_time: 0.007 memory: 5148 grad_norm: 10.8434 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5139 loss: 1.5139 2022/06/28 18:19:49 - mmengine - INFO - Epoch(train) [85][660/3757] lr: 1.000e-04 eta: 4:22:48 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 9.3381 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4885 loss: 1.4885 2022/06/28 18:19:55 - mmengine - INFO - Epoch(train) [85][680/3757] lr: 1.000e-04 eta: 4:22:42 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 7.8139 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8800 loss: 0.8800 2022/06/28 18:20:00 - mmengine - INFO - Epoch(train) [85][700/3757] lr: 1.000e-04 eta: 4:22:37 time: 0.902 data_time: 0.008 memory: 5148 grad_norm: 8.9996 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.5774 loss: 1.5774 2022/06/28 18:20:05 - mmengine - INFO - Epoch(train) [85][720/3757] lr: 1.000e-04 eta: 4:22:32 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 8.6604 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3621 loss: 1.3621 2022/06/28 18:20:11 - mmengine - INFO - Epoch(train) [85][740/3757] lr: 1.000e-04 eta: 4:22:26 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 9.2441 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9814 loss: 0.9814 2022/06/28 18:20:16 - mmengine - INFO - Epoch(train) [85][760/3757] lr: 1.000e-04 eta: 4:22:21 time: 0.231 data_time: 0.007 memory: 5148 grad_norm: 8.0862 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1816 loss: 1.1816 2022/06/28 18:20:21 - mmengine - INFO - Epoch(train) [85][780/3757] lr: 1.000e-04 eta: 4:22:16 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 7.2052 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1653 loss: 1.1653 2022/06/28 18:20:27 - mmengine - INFO - Epoch(train) [85][800/3757] lr: 1.000e-04 eta: 4:22:11 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 7.3580 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8425 loss: 0.8425 2022/06/28 18:20:32 - mmengine - INFO - Epoch(train) [85][820/3757] lr: 1.000e-04 eta: 4:22:05 time: 0.997 data_time: 0.011 memory: 5148 grad_norm: 8.8698 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2575 loss: 1.2575 2022/06/28 18:20:37 - mmengine - INFO - Epoch(train) [85][840/3757] lr: 1.000e-04 eta: 4:22:00 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 9.5128 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1150 loss: 1.1150 2022/06/28 18:20:42 - mmengine - INFO - Epoch(train) [85][860/3757] lr: 1.000e-04 eta: 4:21:55 time: 0.221 data_time: 0.008 memory: 5148 grad_norm: 11.3366 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2719 loss: 1.2719 2022/06/28 18:20:48 - mmengine - INFO - Epoch(train) [85][880/3757] lr: 1.000e-04 eta: 4:21:49 time: 0.221 data_time: 0.007 memory: 5148 grad_norm: 8.0747 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9044 loss: 0.9044 2022/06/28 18:20:53 - mmengine - INFO - Epoch(train) [85][900/3757] lr: 1.000e-04 eta: 4:21:44 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 8.5603 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1733 loss: 1.1733 2022/06/28 18:20:59 - mmengine - INFO - Epoch(train) [85][920/3757] lr: 1.000e-04 eta: 4:21:39 time: 0.227 data_time: 0.007 memory: 5148 grad_norm: 8.5300 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9656 loss: 0.9656 2022/06/28 18:21:05 - mmengine - INFO - Epoch(train) [85][940/3757] lr: 1.000e-04 eta: 4:21:34 time: 0.221 data_time: 0.007 memory: 5148 grad_norm: 8.3901 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0110 loss: 1.0110 2022/06/28 18:21:09 - mmengine - INFO - Epoch(train) [85][960/3757] lr: 1.000e-04 eta: 4:21:28 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 7.8545 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2292 loss: 1.2292 2022/06/28 18:21:15 - mmengine - INFO - Epoch(train) [85][980/3757] lr: 1.000e-04 eta: 4:21:23 time: 0.197 data_time: 0.012 memory: 5148 grad_norm: 7.4458 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4355 loss: 1.4355 2022/06/28 18:21:21 - mmengine - INFO - Epoch(train) [85][1000/3757] lr: 1.000e-04 eta: 4:21:18 time: 0.247 data_time: 0.008 memory: 5148 grad_norm: 9.4236 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2348 loss: 1.2348 2022/06/28 18:21:25 - mmengine - INFO - Epoch(train) [85][1020/3757] lr: 1.000e-04 eta: 4:21:12 time: 0.213 data_time: 0.016 memory: 5148 grad_norm: 8.6419 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1559 loss: 1.1559 2022/06/28 18:21:30 - mmengine - INFO - Epoch(train) [85][1040/3757] lr: 1.000e-04 eta: 4:21:07 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 10.4594 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3892 loss: 1.3892 2022/06/28 18:21:36 - mmengine - INFO - Epoch(train) [85][1060/3757] lr: 1.000e-04 eta: 4:21:02 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 9.6162 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2012 loss: 1.2012 2022/06/28 18:21:41 - mmengine - INFO - Epoch(train) [85][1080/3757] lr: 1.000e-04 eta: 4:20:56 time: 0.206 data_time: 0.023 memory: 5148 grad_norm: 9.6040 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0618 loss: 1.0618 2022/06/28 18:21:46 - mmengine - INFO - Epoch(train) [85][1100/3757] lr: 1.000e-04 eta: 4:20:51 time: 0.216 data_time: 0.018 memory: 5148 grad_norm: 9.5447 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3314 loss: 1.3314 2022/06/28 18:21:52 - mmengine - INFO - Epoch(train) [85][1120/3757] lr: 1.000e-04 eta: 4:20:46 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 8.2511 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1964 loss: 1.1964 2022/06/28 18:21:57 - mmengine - INFO - Epoch(train) [85][1140/3757] lr: 1.000e-04 eta: 4:20:40 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 10.2172 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3097 loss: 1.3097 2022/06/28 18:22:02 - mmengine - INFO - Epoch(train) [85][1160/3757] lr: 1.000e-04 eta: 4:20:35 time: 0.202 data_time: 0.015 memory: 5148 grad_norm: 9.4979 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1355 loss: 1.1355 2022/06/28 18:22:08 - mmengine - INFO - Epoch(train) [85][1180/3757] lr: 1.000e-04 eta: 4:20:30 time: 0.215 data_time: 0.008 memory: 5148 grad_norm: 8.0554 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1331 loss: 1.1331 2022/06/28 18:22:12 - mmengine - INFO - Epoch(train) [85][1200/3757] lr: 1.000e-04 eta: 4:20:24 time: 0.206 data_time: 0.012 memory: 5148 grad_norm: 7.7005 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4269 loss: 1.4269 2022/06/28 18:22:18 - mmengine - INFO - Epoch(train) [85][1220/3757] lr: 1.000e-04 eta: 4:20:19 time: 0.205 data_time: 0.014 memory: 5148 grad_norm: 9.6910 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2590 loss: 1.2590 2022/06/28 18:22:24 - mmengine - INFO - Epoch(train) [85][1240/3757] lr: 1.000e-04 eta: 4:20:14 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 8.8354 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0251 loss: 1.0251 2022/06/28 18:22:29 - mmengine - INFO - Epoch(train) [85][1260/3757] lr: 1.000e-04 eta: 4:20:09 time: 0.197 data_time: 0.013 memory: 5148 grad_norm: 9.1795 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2176 loss: 1.2176 2022/06/28 18:22:34 - mmengine - INFO - Epoch(train) [85][1280/3757] lr: 1.000e-04 eta: 4:20:03 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 7.9308 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0658 loss: 1.0658 2022/06/28 18:22:39 - mmengine - INFO - Epoch(train) [85][1300/3757] lr: 1.000e-04 eta: 4:19:58 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 9.5458 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8917 loss: 0.8917 2022/06/28 18:22:45 - mmengine - INFO - Epoch(train) [85][1320/3757] lr: 1.000e-04 eta: 4:19:53 time: 0.221 data_time: 0.011 memory: 5148 grad_norm: 8.1151 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0499 loss: 1.0499 2022/06/28 18:22:50 - mmengine - INFO - Epoch(train) [85][1340/3757] lr: 1.000e-04 eta: 4:19:47 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 8.2391 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2870 loss: 1.2870 2022/06/28 18:22:56 - mmengine - INFO - Epoch(train) [85][1360/3757] lr: 1.000e-04 eta: 4:19:42 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 8.9578 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2001 loss: 1.2001 2022/06/28 18:23:01 - mmengine - INFO - Epoch(train) [85][1380/3757] lr: 1.000e-04 eta: 4:19:37 time: 0.200 data_time: 0.015 memory: 5148 grad_norm: 7.5787 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0797 loss: 1.0797 2022/06/28 18:23:07 - mmengine - INFO - Epoch(train) [85][1400/3757] lr: 1.000e-04 eta: 4:19:31 time: 0.214 data_time: 0.009 memory: 5148 grad_norm: 8.2245 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2333 loss: 1.2333 2022/06/28 18:23:10 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 18:23:12 - mmengine - INFO - Epoch(train) [85][1420/3757] lr: 1.000e-04 eta: 4:19:26 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 9.2215 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6116 loss: 1.6116 2022/06/28 18:23:18 - mmengine - INFO - Epoch(train) [85][1440/3757] lr: 1.000e-04 eta: 4:19:21 time: 0.201 data_time: 0.013 memory: 5148 grad_norm: 8.4711 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2816 loss: 1.2816 2022/06/28 18:23:22 - mmengine - INFO - Epoch(train) [85][1460/3757] lr: 1.000e-04 eta: 4:19:16 time: 0.209 data_time: 0.011 memory: 5148 grad_norm: 8.0584 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1565 loss: 1.1565 2022/06/28 18:23:28 - mmengine - INFO - Epoch(train) [85][1480/3757] lr: 1.000e-04 eta: 4:19:10 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 9.6473 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2619 loss: 1.2619 2022/06/28 18:23:33 - mmengine - INFO - Epoch(train) [85][1500/3757] lr: 1.000e-04 eta: 4:19:05 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 10.2196 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3081 loss: 1.3081 2022/06/28 18:23:39 - mmengine - INFO - Epoch(train) [85][1520/3757] lr: 1.000e-04 eta: 4:19:00 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 8.4241 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0853 loss: 1.0853 2022/06/28 18:23:44 - mmengine - INFO - Epoch(train) [85][1540/3757] lr: 1.000e-04 eta: 4:18:54 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 8.3626 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1996 loss: 1.1996 2022/06/28 18:23:50 - mmengine - INFO - Epoch(train) [85][1560/3757] lr: 1.000e-04 eta: 4:18:49 time: 0.205 data_time: 0.012 memory: 5148 grad_norm: 8.9442 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9431 loss: 0.9431 2022/06/28 18:23:55 - mmengine - INFO - Epoch(train) [85][1580/3757] lr: 1.000e-04 eta: 4:18:44 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 10.4839 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0219 loss: 1.0219 2022/06/28 18:24:00 - mmengine - INFO - Epoch(train) [85][1600/3757] lr: 1.000e-04 eta: 4:18:38 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 11.1760 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0584 loss: 1.0584 2022/06/28 18:24:05 - mmengine - INFO - Epoch(train) [85][1620/3757] lr: 1.000e-04 eta: 4:18:33 time: 0.228 data_time: 0.030 memory: 5148 grad_norm: 10.1498 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2533 loss: 1.2533 2022/06/28 18:24:11 - mmengine - INFO - Epoch(train) [85][1640/3757] lr: 1.000e-04 eta: 4:18:28 time: 1.206 data_time: 0.009 memory: 5148 grad_norm: 9.5511 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1649 loss: 1.1649 2022/06/28 18:24:16 - mmengine - INFO - Epoch(train) [85][1660/3757] lr: 1.000e-04 eta: 4:18:23 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 9.6861 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0393 loss: 1.0393 2022/06/28 18:24:21 - mmengine - INFO - Epoch(train) [85][1680/3757] lr: 1.000e-04 eta: 4:18:17 time: 0.204 data_time: 0.027 memory: 5148 grad_norm: 10.1112 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3862 loss: 1.3862 2022/06/28 18:24:27 - mmengine - INFO - Epoch(train) [85][1700/3757] lr: 1.000e-04 eta: 4:18:12 time: 0.708 data_time: 0.008 memory: 5148 grad_norm: 9.9953 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2350 loss: 1.2350 2022/06/28 18:24:32 - mmengine - INFO - Epoch(train) [85][1720/3757] lr: 1.000e-04 eta: 4:18:07 time: 0.215 data_time: 0.010 memory: 5148 grad_norm: 10.0195 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3871 loss: 1.3871 2022/06/28 18:24:37 - mmengine - INFO - Epoch(train) [85][1740/3757] lr: 1.000e-04 eta: 4:18:01 time: 0.224 data_time: 0.007 memory: 5148 grad_norm: 9.0198 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7369 loss: 0.7369 2022/06/28 18:24:42 - mmengine - INFO - Epoch(train) [85][1760/3757] lr: 1.000e-04 eta: 4:17:56 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.7938 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0866 loss: 1.0866 2022/06/28 18:24:48 - mmengine - INFO - Epoch(train) [85][1780/3757] lr: 1.000e-04 eta: 4:17:51 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 9.8585 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1973 loss: 1.1973 2022/06/28 18:24:53 - mmengine - INFO - Epoch(train) [85][1800/3757] lr: 1.000e-04 eta: 4:17:45 time: 0.210 data_time: 0.011 memory: 5148 grad_norm: 8.4354 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2662 loss: 1.2662 2022/06/28 18:24:59 - mmengine - INFO - Epoch(train) [85][1820/3757] lr: 1.000e-04 eta: 4:17:40 time: 0.459 data_time: 0.015 memory: 5148 grad_norm: 8.3313 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0963 loss: 1.0963 2022/06/28 18:25:04 - mmengine - INFO - Epoch(train) [85][1840/3757] lr: 1.000e-04 eta: 4:17:35 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 9.0167 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3322 loss: 1.3322 2022/06/28 18:25:10 - mmengine - INFO - Epoch(train) [85][1860/3757] lr: 1.000e-04 eta: 4:17:30 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 11.7006 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2388 loss: 1.2388 2022/06/28 18:25:15 - mmengine - INFO - Epoch(train) [85][1880/3757] lr: 1.000e-04 eta: 4:17:24 time: 0.857 data_time: 0.011 memory: 5148 grad_norm: 9.1605 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3344 loss: 1.3344 2022/06/28 18:25:20 - mmengine - INFO - Epoch(train) [85][1900/3757] lr: 1.000e-04 eta: 4:17:19 time: 0.218 data_time: 0.008 memory: 5148 grad_norm: 7.2997 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1245 loss: 1.1245 2022/06/28 18:25:26 - mmengine - INFO - Epoch(train) [85][1920/3757] lr: 1.000e-04 eta: 4:17:14 time: 0.323 data_time: 0.011 memory: 5148 grad_norm: 7.2517 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2918 loss: 1.2918 2022/06/28 18:25:31 - mmengine - INFO - Epoch(train) [85][1940/3757] lr: 1.000e-04 eta: 4:17:08 time: 0.222 data_time: 0.011 memory: 5148 grad_norm: 10.3021 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0375 loss: 1.0375 2022/06/28 18:25:36 - mmengine - INFO - Epoch(train) [85][1960/3757] lr: 1.000e-04 eta: 4:17:03 time: 0.230 data_time: 0.021 memory: 5148 grad_norm: 9.1288 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8975 loss: 0.8975 2022/06/28 18:25:41 - mmengine - INFO - Epoch(train) [85][1980/3757] lr: 1.000e-04 eta: 4:16:58 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 8.7417 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3771 loss: 1.3771 2022/06/28 18:25:48 - mmengine - INFO - Epoch(train) [85][2000/3757] lr: 1.000e-04 eta: 4:16:53 time: 0.203 data_time: 0.016 memory: 5148 grad_norm: 9.0438 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2409 loss: 1.2409 2022/06/28 18:25:52 - mmengine - INFO - Epoch(train) [85][2020/3757] lr: 1.000e-04 eta: 4:16:47 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 10.2805 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0749 loss: 1.0749 2022/06/28 18:25:57 - mmengine - INFO - Epoch(train) [85][2040/3757] lr: 1.000e-04 eta: 4:16:42 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 8.0924 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2989 loss: 1.2989 2022/06/28 18:26:02 - mmengine - INFO - Epoch(train) [85][2060/3757] lr: 1.000e-04 eta: 4:16:36 time: 0.288 data_time: 0.006 memory: 5148 grad_norm: 10.5829 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5296 loss: 1.5296 2022/06/28 18:26:08 - mmengine - INFO - Epoch(train) [85][2080/3757] lr: 1.000e-04 eta: 4:16:31 time: 0.234 data_time: 0.008 memory: 5148 grad_norm: 10.5140 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0520 loss: 1.0520 2022/06/28 18:26:13 - mmengine - INFO - Epoch(train) [85][2100/3757] lr: 1.000e-04 eta: 4:16:26 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 9.2211 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2280 loss: 1.2280 2022/06/28 18:26:19 - mmengine - INFO - Epoch(train) [85][2120/3757] lr: 1.000e-04 eta: 4:16:21 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 9.8311 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0322 loss: 1.0322 2022/06/28 18:26:24 - mmengine - INFO - Epoch(train) [85][2140/3757] lr: 1.000e-04 eta: 4:16:15 time: 0.227 data_time: 0.008 memory: 5148 grad_norm: 9.6231 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3675 loss: 1.3675 2022/06/28 18:26:29 - mmengine - INFO - Epoch(train) [85][2160/3757] lr: 1.000e-04 eta: 4:16:10 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 7.0961 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0925 loss: 1.0925 2022/06/28 18:26:35 - mmengine - INFO - Epoch(train) [85][2180/3757] lr: 1.000e-04 eta: 4:16:05 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 9.7612 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0293 loss: 1.0293 2022/06/28 18:26:41 - mmengine - INFO - Epoch(train) [85][2200/3757] lr: 1.000e-04 eta: 4:16:00 time: 0.241 data_time: 0.016 memory: 5148 grad_norm: 9.2977 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0644 loss: 1.0644 2022/06/28 18:26:46 - mmengine - INFO - Epoch(train) [85][2220/3757] lr: 1.000e-04 eta: 4:15:54 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 9.1905 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0905 loss: 1.0905 2022/06/28 18:26:51 - mmengine - INFO - Epoch(train) [85][2240/3757] lr: 1.000e-04 eta: 4:15:49 time: 0.213 data_time: 0.018 memory: 5148 grad_norm: 9.2291 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1124 loss: 1.1124 2022/06/28 18:26:57 - mmengine - INFO - Epoch(train) [85][2260/3757] lr: 1.000e-04 eta: 4:15:44 time: 1.375 data_time: 0.017 memory: 5148 grad_norm: 9.6089 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2806 loss: 1.2806 2022/06/28 18:27:01 - mmengine - INFO - Epoch(train) [85][2280/3757] lr: 1.000e-04 eta: 4:15:38 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 7.7099 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3903 loss: 1.3903 2022/06/28 18:27:06 - mmengine - INFO - Epoch(train) [85][2300/3757] lr: 1.000e-04 eta: 4:15:33 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 8.1118 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0609 loss: 1.0609 2022/06/28 18:27:12 - mmengine - INFO - Epoch(train) [85][2320/3757] lr: 1.000e-04 eta: 4:15:28 time: 0.217 data_time: 0.011 memory: 5148 grad_norm: 9.1835 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2164 loss: 1.2164 2022/06/28 18:27:17 - mmengine - INFO - Epoch(train) [85][2340/3757] lr: 1.000e-04 eta: 4:15:22 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 9.9097 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2422 loss: 1.2422 2022/06/28 18:27:22 - mmengine - INFO - Epoch(train) [85][2360/3757] lr: 1.000e-04 eta: 4:15:17 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 8.8632 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2637 loss: 1.2637 2022/06/28 18:27:28 - mmengine - INFO - Epoch(train) [85][2380/3757] lr: 1.000e-04 eta: 4:15:12 time: 0.208 data_time: 0.013 memory: 5148 grad_norm: 8.5504 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2464 loss: 1.2464 2022/06/28 18:27:33 - mmengine - INFO - Epoch(train) [85][2400/3757] lr: 1.000e-04 eta: 4:15:06 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 8.2800 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9268 loss: 0.9268 2022/06/28 18:27:36 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 18:27:39 - mmengine - INFO - Epoch(train) [85][2420/3757] lr: 1.000e-04 eta: 4:15:01 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 9.6633 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4745 loss: 1.4745 2022/06/28 18:27:44 - mmengine - INFO - Epoch(train) [85][2440/3757] lr: 1.000e-04 eta: 4:14:56 time: 0.204 data_time: 0.025 memory: 5148 grad_norm: 9.7051 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2467 loss: 1.2467 2022/06/28 18:27:49 - mmengine - INFO - Epoch(train) [85][2460/3757] lr: 1.000e-04 eta: 4:14:50 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 8.9786 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0396 loss: 1.0396 2022/06/28 18:27:54 - mmengine - INFO - Epoch(train) [85][2480/3757] lr: 1.000e-04 eta: 4:14:45 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 8.6610 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3001 loss: 1.3001 2022/06/28 18:28:00 - mmengine - INFO - Epoch(train) [85][2500/3757] lr: 1.000e-04 eta: 4:14:40 time: 0.209 data_time: 0.022 memory: 5148 grad_norm: 8.8134 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4046 loss: 1.4046 2022/06/28 18:28:04 - mmengine - INFO - Epoch(train) [85][2520/3757] lr: 1.000e-04 eta: 4:14:34 time: 0.208 data_time: 0.015 memory: 5148 grad_norm: 8.3753 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2291 loss: 1.2291 2022/06/28 18:28:10 - mmengine - INFO - Epoch(train) [85][2540/3757] lr: 1.000e-04 eta: 4:14:29 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 7.0570 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3099 loss: 1.3099 2022/06/28 18:28:16 - mmengine - INFO - Epoch(train) [85][2560/3757] lr: 1.000e-04 eta: 4:14:24 time: 0.326 data_time: 0.007 memory: 5148 grad_norm: 8.4417 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2120 loss: 1.2120 2022/06/28 18:28:21 - mmengine - INFO - Epoch(train) [85][2580/3757] lr: 1.000e-04 eta: 4:14:19 time: 0.207 data_time: 0.023 memory: 5148 grad_norm: 10.0057 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9870 loss: 0.9870 2022/06/28 18:28:27 - mmengine - INFO - Epoch(train) [85][2600/3757] lr: 1.000e-04 eta: 4:14:13 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 9.5048 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4080 loss: 1.4080 2022/06/28 18:28:32 - mmengine - INFO - Epoch(train) [85][2620/3757] lr: 1.000e-04 eta: 4:14:08 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 9.6561 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1928 loss: 1.1928 2022/06/28 18:28:37 - mmengine - INFO - Epoch(train) [85][2640/3757] lr: 1.000e-04 eta: 4:14:03 time: 0.206 data_time: 0.017 memory: 5148 grad_norm: 7.5829 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0763 loss: 1.0763 2022/06/28 18:28:43 - mmengine - INFO - Epoch(train) [85][2660/3757] lr: 1.000e-04 eta: 4:13:57 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 8.6466 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3534 loss: 1.3534 2022/06/28 18:28:48 - mmengine - INFO - Epoch(train) [85][2680/3757] lr: 1.000e-04 eta: 4:13:52 time: 0.202 data_time: 0.013 memory: 5148 grad_norm: 6.4931 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9721 loss: 0.9721 2022/06/28 18:28:53 - mmengine - INFO - Epoch(train) [85][2700/3757] lr: 1.000e-04 eta: 4:13:47 time: 0.228 data_time: 0.007 memory: 5148 grad_norm: 8.1137 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0288 loss: 1.0288 2022/06/28 18:28:58 - mmengine - INFO - Epoch(train) [85][2720/3757] lr: 1.000e-04 eta: 4:13:41 time: 0.223 data_time: 0.008 memory: 5148 grad_norm: 8.9019 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1726 loss: 1.1726 2022/06/28 18:29:04 - mmengine - INFO - Epoch(train) [85][2740/3757] lr: 1.000e-04 eta: 4:13:36 time: 0.209 data_time: 0.022 memory: 5148 grad_norm: 9.1453 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1001 loss: 1.1001 2022/06/28 18:29:09 - mmengine - INFO - Epoch(train) [85][2760/3757] lr: 1.000e-04 eta: 4:13:31 time: 0.798 data_time: 0.010 memory: 5148 grad_norm: 9.5074 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3957 loss: 1.3957 2022/06/28 18:29:14 - mmengine - INFO - Epoch(train) [85][2780/3757] lr: 1.000e-04 eta: 4:13:26 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 8.3956 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0307 loss: 1.0307 2022/06/28 18:29:19 - mmengine - INFO - Epoch(train) [85][2800/3757] lr: 1.000e-04 eta: 4:13:20 time: 0.296 data_time: 0.010 memory: 5148 grad_norm: 9.4820 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9575 loss: 0.9575 2022/06/28 18:29:25 - mmengine - INFO - Epoch(train) [85][2820/3757] lr: 1.000e-04 eta: 4:13:15 time: 0.198 data_time: 0.015 memory: 5148 grad_norm: 7.9604 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1176 loss: 1.1176 2022/06/28 18:29:31 - mmengine - INFO - Epoch(train) [85][2840/3757] lr: 1.000e-04 eta: 4:13:10 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 8.3364 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3694 loss: 1.3694 2022/06/28 18:29:36 - mmengine - INFO - Epoch(train) [85][2860/3757] lr: 1.000e-04 eta: 4:13:04 time: 0.215 data_time: 0.006 memory: 5148 grad_norm: 8.6678 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1189 loss: 1.1189 2022/06/28 18:29:41 - mmengine - INFO - Epoch(train) [85][2880/3757] lr: 1.000e-04 eta: 4:12:59 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 8.0645 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1956 loss: 1.1956 2022/06/28 18:29:47 - mmengine - INFO - Epoch(train) [85][2900/3757] lr: 1.000e-04 eta: 4:12:54 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 7.7844 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3094 loss: 1.3094 2022/06/28 18:29:52 - mmengine - INFO - Epoch(train) [85][2920/3757] lr: 1.000e-04 eta: 4:12:49 time: 0.218 data_time: 0.008 memory: 5148 grad_norm: 9.5392 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1795 loss: 1.1795 2022/06/28 18:29:57 - mmengine - INFO - Epoch(train) [85][2940/3757] lr: 1.000e-04 eta: 4:12:43 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 9.9180 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3265 loss: 1.3265 2022/06/28 18:30:03 - mmengine - INFO - Epoch(train) [85][2960/3757] lr: 1.000e-04 eta: 4:12:38 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 9.9581 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2589 loss: 1.2589 2022/06/28 18:30:09 - mmengine - INFO - Epoch(train) [85][2980/3757] lr: 1.000e-04 eta: 4:12:33 time: 0.637 data_time: 0.014 memory: 5148 grad_norm: 8.8600 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7788 loss: 0.7788 2022/06/28 18:30:14 - mmengine - INFO - Epoch(train) [85][3000/3757] lr: 1.000e-04 eta: 4:12:27 time: 0.232 data_time: 0.054 memory: 5148 grad_norm: 9.5704 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2737 loss: 1.2737 2022/06/28 18:30:19 - mmengine - INFO - Epoch(train) [85][3020/3757] lr: 1.000e-04 eta: 4:12:22 time: 0.198 data_time: 0.015 memory: 5148 grad_norm: 10.2402 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2693 loss: 1.2693 2022/06/28 18:30:24 - mmengine - INFO - Epoch(train) [85][3040/3757] lr: 1.000e-04 eta: 4:12:17 time: 0.354 data_time: 0.007 memory: 5148 grad_norm: 9.3283 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5569 loss: 1.5569 2022/06/28 18:30:29 - mmengine - INFO - Epoch(train) [85][3060/3757] lr: 1.000e-04 eta: 4:12:11 time: 0.215 data_time: 0.028 memory: 5148 grad_norm: 9.9706 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1206 loss: 1.1206 2022/06/28 18:30:35 - mmengine - INFO - Epoch(train) [85][3080/3757] lr: 1.000e-04 eta: 4:12:06 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 11.3243 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6583 loss: 0.6583 2022/06/28 18:30:40 - mmengine - INFO - Epoch(train) [85][3100/3757] lr: 1.000e-04 eta: 4:12:01 time: 0.802 data_time: 0.027 memory: 5148 grad_norm: 8.1744 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3514 loss: 1.3514 2022/06/28 18:30:46 - mmengine - INFO - Epoch(train) [85][3120/3757] lr: 1.000e-04 eta: 4:11:56 time: 0.222 data_time: 0.020 memory: 5148 grad_norm: 8.6200 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0442 loss: 1.0442 2022/06/28 18:30:51 - mmengine - INFO - Epoch(train) [85][3140/3757] lr: 1.000e-04 eta: 4:11:50 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 8.1793 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2901 loss: 1.2901 2022/06/28 18:30:57 - mmengine - INFO - Epoch(train) [85][3160/3757] lr: 1.000e-04 eta: 4:11:45 time: 0.348 data_time: 0.008 memory: 5148 grad_norm: 6.7335 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9519 loss: 0.9519 2022/06/28 18:31:02 - mmengine - INFO - Epoch(train) [85][3180/3757] lr: 1.000e-04 eta: 4:11:40 time: 0.361 data_time: 0.185 memory: 5148 grad_norm: 8.0589 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1215 loss: 1.1215 2022/06/28 18:31:07 - mmengine - INFO - Epoch(train) [85][3200/3757] lr: 1.000e-04 eta: 4:11:34 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 8.0422 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1867 loss: 1.1867 2022/06/28 18:31:13 - mmengine - INFO - Epoch(train) [85][3220/3757] lr: 1.000e-04 eta: 4:11:29 time: 0.217 data_time: 0.008 memory: 5148 grad_norm: 9.1321 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6328 loss: 1.6328 2022/06/28 18:31:18 - mmengine - INFO - Epoch(train) [85][3240/3757] lr: 1.000e-04 eta: 4:11:24 time: 0.201 data_time: 0.016 memory: 5148 grad_norm: 9.7664 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1334 loss: 1.1334 2022/06/28 18:31:23 - mmengine - INFO - Epoch(train) [85][3260/3757] lr: 1.000e-04 eta: 4:11:18 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 9.0123 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3917 loss: 1.3917 2022/06/28 18:31:28 - mmengine - INFO - Epoch(train) [85][3280/3757] lr: 1.000e-04 eta: 4:11:13 time: 0.353 data_time: 0.015 memory: 5148 grad_norm: 7.0242 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4581 loss: 1.4581 2022/06/28 18:31:34 - mmengine - INFO - Epoch(train) [85][3300/3757] lr: 1.000e-04 eta: 4:11:08 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 9.1269 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2455 loss: 1.2455 2022/06/28 18:31:40 - mmengine - INFO - Epoch(train) [85][3320/3757] lr: 1.000e-04 eta: 4:11:03 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 8.3233 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2430 loss: 1.2430 2022/06/28 18:31:44 - mmengine - INFO - Epoch(train) [85][3340/3757] lr: 1.000e-04 eta: 4:10:57 time: 0.223 data_time: 0.009 memory: 5148 grad_norm: 7.7522 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0930 loss: 1.0930 2022/06/28 18:31:49 - mmengine - INFO - Epoch(train) [85][3360/3757] lr: 1.000e-04 eta: 4:10:52 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 9.4680 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0392 loss: 1.0392 2022/06/28 18:31:55 - mmengine - INFO - Epoch(train) [85][3380/3757] lr: 1.000e-04 eta: 4:10:47 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 10.4019 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2744 loss: 1.2744 2022/06/28 18:32:00 - mmengine - INFO - Epoch(train) [85][3400/3757] lr: 1.000e-04 eta: 4:10:41 time: 0.212 data_time: 0.019 memory: 5148 grad_norm: 9.2183 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4013 loss: 1.4013 2022/06/28 18:32:03 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 18:32:05 - mmengine - INFO - Epoch(train) [85][3420/3757] lr: 1.000e-04 eta: 4:10:36 time: 0.232 data_time: 0.008 memory: 5148 grad_norm: 9.3073 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4975 loss: 1.4975 2022/06/28 18:32:11 - mmengine - INFO - Epoch(train) [85][3440/3757] lr: 1.000e-04 eta: 4:10:31 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 9.2934 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0768 loss: 1.0768 2022/06/28 18:32:16 - mmengine - INFO - Epoch(train) [85][3460/3757] lr: 1.000e-04 eta: 4:10:25 time: 0.678 data_time: 0.013 memory: 5148 grad_norm: 9.6202 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3013 loss: 1.3013 2022/06/28 18:32:21 - mmengine - INFO - Epoch(train) [85][3480/3757] lr: 1.000e-04 eta: 4:10:20 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 8.0264 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8577 loss: 0.8577 2022/06/28 18:32:27 - mmengine - INFO - Epoch(train) [85][3500/3757] lr: 1.000e-04 eta: 4:10:15 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 10.0815 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9025 loss: 0.9025 2022/06/28 18:32:33 - mmengine - INFO - Epoch(train) [85][3520/3757] lr: 1.000e-04 eta: 4:10:10 time: 1.121 data_time: 0.011 memory: 5148 grad_norm: 9.2215 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2952 loss: 1.2952 2022/06/28 18:32:37 - mmengine - INFO - Epoch(train) [85][3540/3757] lr: 1.000e-04 eta: 4:10:04 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 8.1972 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5952 loss: 1.5952 2022/06/28 18:32:43 - mmengine - INFO - Epoch(train) [85][3560/3757] lr: 1.000e-04 eta: 4:09:59 time: 0.223 data_time: 0.007 memory: 5148 grad_norm: 7.7866 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1501 loss: 1.1501 2022/06/28 18:32:48 - mmengine - INFO - Epoch(train) [85][3580/3757] lr: 1.000e-04 eta: 4:09:54 time: 0.708 data_time: 0.012 memory: 5148 grad_norm: 9.1322 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1289 loss: 1.1289 2022/06/28 18:32:53 - mmengine - INFO - Epoch(train) [85][3600/3757] lr: 1.000e-04 eta: 4:09:48 time: 0.203 data_time: 0.012 memory: 5148 grad_norm: 8.7877 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0453 loss: 1.0453 2022/06/28 18:32:59 - mmengine - INFO - Epoch(train) [85][3620/3757] lr: 1.000e-04 eta: 4:09:43 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 9.5509 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2373 loss: 1.2373 2022/06/28 18:33:05 - mmengine - INFO - Epoch(train) [85][3640/3757] lr: 1.000e-04 eta: 4:09:38 time: 1.273 data_time: 0.006 memory: 5148 grad_norm: 9.4098 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6428 loss: 0.6428 2022/06/28 18:33:10 - mmengine - INFO - Epoch(train) [85][3660/3757] lr: 1.000e-04 eta: 4:09:32 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 8.6715 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4936 loss: 1.4936 2022/06/28 18:33:15 - mmengine - INFO - Epoch(train) [85][3680/3757] lr: 1.000e-04 eta: 4:09:27 time: 0.219 data_time: 0.008 memory: 5148 grad_norm: 10.2810 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1241 loss: 1.1241 2022/06/28 18:33:21 - mmengine - INFO - Epoch(train) [85][3700/3757] lr: 1.000e-04 eta: 4:09:22 time: 0.656 data_time: 0.012 memory: 5148 grad_norm: 9.2939 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0598 loss: 1.0598 2022/06/28 18:33:26 - mmengine - INFO - Epoch(train) [85][3720/3757] lr: 1.000e-04 eta: 4:09:17 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 7.6726 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0485 loss: 1.0485 2022/06/28 18:33:31 - mmengine - INFO - Epoch(train) [85][3740/3757] lr: 1.000e-04 eta: 4:09:11 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 10.7364 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0657 loss: 1.0657 2022/06/28 18:33:35 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 18:33:35 - mmengine - INFO - Saving checkpoint at 85 epochs 2022/06/28 18:34:08 - mmengine - INFO - Epoch(val) [85][20/310] eta: 0:01:59 time: 0.078 data_time: 0.008 memory: 5148 2022/06/28 18:34:19 - mmengine - INFO - Epoch(val) [85][40/310] eta: 0:02:38 time: 4.306 data_time: 4.225 memory: 1367 2022/06/28 18:34:25 - mmengine - INFO - Epoch(val) [85][60/310] eta: 0:01:36 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 18:34:30 - mmengine - INFO - Epoch(val) [85][80/310] eta: 0:01:16 time: 1.372 data_time: 1.294 memory: 1367 2022/06/28 18:34:35 - mmengine - INFO - Epoch(val) [85][100/310] eta: 0:00:46 time: 0.079 data_time: 0.005 memory: 1367 2022/06/28 18:34:41 - mmengine - INFO - Epoch(val) [85][120/310] eta: 0:01:11 time: 1.964 data_time: 1.882 memory: 1367 2022/06/28 18:34:47 - mmengine - INFO - Epoch(val) [85][140/310] eta: 0:00:53 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 18:34:55 - mmengine - INFO - Epoch(val) [85][160/310] eta: 0:00:59 time: 2.384 data_time: 2.304 memory: 1367 2022/06/28 18:35:02 - mmengine - INFO - Epoch(val) [85][180/310] eta: 0:00:50 time: 1.979 data_time: 1.894 memory: 1367 2022/06/28 18:35:13 - mmengine - INFO - Epoch(val) [85][200/310] eta: 0:01:42 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 18:35:21 - mmengine - INFO - Epoch(val) [85][220/310] eta: 0:00:22 time: 1.096 data_time: 1.024 memory: 1367 2022/06/28 18:35:27 - mmengine - INFO - Epoch(val) [85][240/310] eta: 0:00:28 time: 0.081 data_time: 0.005 memory: 1367 2022/06/28 18:35:33 - mmengine - INFO - Epoch(val) [85][260/310] eta: 0:00:21 time: 1.136 data_time: 1.061 memory: 1367 2022/06/28 18:35:40 - mmengine - INFO - Epoch(val) [85][280/310] eta: 0:00:09 time: 0.084 data_time: 0.005 memory: 1367 2022/06/28 18:35:44 - mmengine - INFO - Epoch(val) [85][300/310] eta: 0:00:01 time: 0.085 data_time: 0.009 memory: 1367 2022/06/28 18:35:48 - mmengine - INFO - Epoch(val) [85][310/310] acc/top1: 0.6599 acc/top5: 0.8645 acc/mean1: 0.6598 2022/06/28 18:35:58 - mmengine - INFO - Epoch(train) [86][20/3757] lr: 1.000e-04 eta: 4:09:02 time: 0.198 data_time: 0.014 memory: 5148 grad_norm: 9.1973 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8486 loss: 0.8486 2022/06/28 18:36:04 - mmengine - INFO - Epoch(train) [86][40/3757] lr: 1.000e-04 eta: 4:08:56 time: 0.217 data_time: 0.030 memory: 5148 grad_norm: 9.5267 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1175 loss: 1.1175 2022/06/28 18:36:09 - mmengine - INFO - Epoch(train) [86][60/3757] lr: 1.000e-04 eta: 4:08:51 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 9.4294 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0378 loss: 1.0378 2022/06/28 18:36:13 - mmengine - INFO - Epoch(train) [86][80/3757] lr: 1.000e-04 eta: 4:08:46 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 11.4895 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1648 loss: 1.1648 2022/06/28 18:36:19 - mmengine - INFO - Epoch(train) [86][100/3757] lr: 1.000e-04 eta: 4:08:40 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 8.7508 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0177 loss: 1.0177 2022/06/28 18:36:25 - mmengine - INFO - Epoch(train) [86][120/3757] lr: 1.000e-04 eta: 4:08:35 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 9.0139 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9633 loss: 0.9633 2022/06/28 18:36:30 - mmengine - INFO - Epoch(train) [86][140/3757] lr: 1.000e-04 eta: 4:08:30 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 8.5443 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3752 loss: 1.3752 2022/06/28 18:36:36 - mmengine - INFO - Epoch(train) [86][160/3757] lr: 1.000e-04 eta: 4:08:25 time: 0.217 data_time: 0.029 memory: 5148 grad_norm: 8.8801 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3113 loss: 1.3113 2022/06/28 18:36:42 - mmengine - INFO - Epoch(train) [86][180/3757] lr: 1.000e-04 eta: 4:08:19 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 7.8351 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1544 loss: 1.1544 2022/06/28 18:36:46 - mmengine - INFO - Epoch(train) [86][200/3757] lr: 1.000e-04 eta: 4:08:14 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 8.9535 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3435 loss: 1.3435 2022/06/28 18:36:50 - mmengine - INFO - Epoch(train) [86][220/3757] lr: 1.000e-04 eta: 4:08:08 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 10.4114 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1238 loss: 1.1238 2022/06/28 18:36:57 - mmengine - INFO - Epoch(train) [86][240/3757] lr: 1.000e-04 eta: 4:08:03 time: 0.245 data_time: 0.010 memory: 5148 grad_norm: 7.3958 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1268 loss: 1.1268 2022/06/28 18:37:03 - mmengine - INFO - Epoch(train) [86][260/3757] lr: 1.000e-04 eta: 4:07:58 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 10.0426 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2086 loss: 1.2086 2022/06/28 18:37:07 - mmengine - INFO - Epoch(train) [86][280/3757] lr: 1.000e-04 eta: 4:07:53 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 8.6497 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3516 loss: 1.3516 2022/06/28 18:37:13 - mmengine - INFO - Epoch(train) [86][300/3757] lr: 1.000e-04 eta: 4:07:47 time: 0.222 data_time: 0.007 memory: 5148 grad_norm: 8.3440 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4807 loss: 1.4807 2022/06/28 18:37:18 - mmengine - INFO - Epoch(train) [86][320/3757] lr: 1.000e-04 eta: 4:07:42 time: 0.231 data_time: 0.009 memory: 5148 grad_norm: 9.1775 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8072 loss: 1.8072 2022/06/28 18:37:23 - mmengine - INFO - Epoch(train) [86][340/3757] lr: 1.000e-04 eta: 4:07:37 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 8.7541 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3097 loss: 1.3097 2022/06/28 18:37:28 - mmengine - INFO - Epoch(train) [86][360/3757] lr: 1.000e-04 eta: 4:07:31 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 8.4478 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3255 loss: 1.3255 2022/06/28 18:37:34 - mmengine - INFO - Epoch(train) [86][380/3757] lr: 1.000e-04 eta: 4:07:26 time: 0.219 data_time: 0.007 memory: 5148 grad_norm: 8.1044 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3064 loss: 1.3064 2022/06/28 18:37:39 - mmengine - INFO - Epoch(train) [86][400/3757] lr: 1.000e-04 eta: 4:07:21 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 9.1672 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2114 loss: 1.2114 2022/06/28 18:37:44 - mmengine - INFO - Epoch(train) [86][420/3757] lr: 1.000e-04 eta: 4:07:16 time: 0.235 data_time: 0.012 memory: 5148 grad_norm: 8.2559 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1020 loss: 1.1020 2022/06/28 18:37:49 - mmengine - INFO - Epoch(train) [86][440/3757] lr: 1.000e-04 eta: 4:07:10 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 8.1972 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1190 loss: 1.1190 2022/06/28 18:37:55 - mmengine - INFO - Epoch(train) [86][460/3757] lr: 1.000e-04 eta: 4:07:05 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 11.4481 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9374 loss: 0.9374 2022/06/28 18:38:00 - mmengine - INFO - Epoch(train) [86][480/3757] lr: 1.000e-04 eta: 4:07:00 time: 0.218 data_time: 0.006 memory: 5148 grad_norm: 8.2105 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2688 loss: 1.2688 2022/06/28 18:38:05 - mmengine - INFO - Epoch(train) [86][500/3757] lr: 1.000e-04 eta: 4:06:54 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 9.1336 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9930 loss: 0.9930 2022/06/28 18:38:10 - mmengine - INFO - Epoch(train) [86][520/3757] lr: 1.000e-04 eta: 4:06:49 time: 0.241 data_time: 0.007 memory: 5148 grad_norm: 9.3531 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1194 loss: 1.1194 2022/06/28 18:38:16 - mmengine - INFO - Epoch(train) [86][540/3757] lr: 1.000e-04 eta: 4:06:44 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 10.4643 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.2548 loss: 1.2548 2022/06/28 18:38:21 - mmengine - INFO - Epoch(train) [86][560/3757] lr: 1.000e-04 eta: 4:06:38 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 9.7248 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3429 loss: 1.3429 2022/06/28 18:38:26 - mmengine - INFO - Epoch(train) [86][580/3757] lr: 1.000e-04 eta: 4:06:33 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 8.4870 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8606 loss: 0.8606 2022/06/28 18:38:32 - mmengine - INFO - Epoch(train) [86][600/3757] lr: 1.000e-04 eta: 4:06:28 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 8.6650 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8636 loss: 0.8636 2022/06/28 18:38:37 - mmengine - INFO - Epoch(train) [86][620/3757] lr: 1.000e-04 eta: 4:06:22 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 7.8938 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8334 loss: 0.8334 2022/06/28 18:38:41 - mmengine - INFO - Epoch(train) [86][640/3757] lr: 1.000e-04 eta: 4:06:17 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 8.4736 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0457 loss: 1.0457 2022/06/28 18:38:46 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 18:38:47 - mmengine - INFO - Epoch(train) [86][660/3757] lr: 1.000e-04 eta: 4:06:12 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 8.4920 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3338 loss: 1.3338 2022/06/28 18:38:53 - mmengine - INFO - Epoch(train) [86][680/3757] lr: 1.000e-04 eta: 4:06:06 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 7.7022 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4556 loss: 1.4556 2022/06/28 18:38:58 - mmengine - INFO - Epoch(train) [86][700/3757] lr: 1.000e-04 eta: 4:06:01 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 8.6433 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4325 loss: 1.4325 2022/06/28 18:39:03 - mmengine - INFO - Epoch(train) [86][720/3757] lr: 1.000e-04 eta: 4:05:56 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 10.1433 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8326 loss: 0.8326 2022/06/28 18:39:09 - mmengine - INFO - Epoch(train) [86][740/3757] lr: 1.000e-04 eta: 4:05:51 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 8.0308 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8600 loss: 0.8600 2022/06/28 18:39:14 - mmengine - INFO - Epoch(train) [86][760/3757] lr: 1.000e-04 eta: 4:05:45 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 9.2540 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6089 loss: 1.6089 2022/06/28 18:39:19 - mmengine - INFO - Epoch(train) [86][780/3757] lr: 1.000e-04 eta: 4:05:40 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 9.2099 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3357 loss: 1.3357 2022/06/28 18:39:25 - mmengine - INFO - Epoch(train) [86][800/3757] lr: 1.000e-04 eta: 4:05:35 time: 0.210 data_time: 0.023 memory: 5148 grad_norm: 8.7201 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8757 loss: 0.8757 2022/06/28 18:39:30 - mmengine - INFO - Epoch(train) [86][820/3757] lr: 1.000e-04 eta: 4:05:29 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 9.2726 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2261 loss: 1.2261 2022/06/28 18:39:35 - mmengine - INFO - Epoch(train) [86][840/3757] lr: 1.000e-04 eta: 4:05:24 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 10.0904 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2410 loss: 1.2410 2022/06/28 18:39:41 - mmengine - INFO - Epoch(train) [86][860/3757] lr: 1.000e-04 eta: 4:05:19 time: 0.205 data_time: 0.013 memory: 5148 grad_norm: 10.2973 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0199 loss: 1.0199 2022/06/28 18:39:46 - mmengine - INFO - Epoch(train) [86][880/3757] lr: 1.000e-04 eta: 4:05:13 time: 0.211 data_time: 0.008 memory: 5148 grad_norm: 8.3452 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4511 loss: 1.4511 2022/06/28 18:39:51 - mmengine - INFO - Epoch(train) [86][900/3757] lr: 1.000e-04 eta: 4:05:08 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 9.4559 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0712 loss: 1.0712 2022/06/28 18:39:57 - mmengine - INFO - Epoch(train) [86][920/3757] lr: 1.000e-04 eta: 4:05:03 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 8.8086 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.7889 loss: 0.7889 2022/06/28 18:40:03 - mmengine - INFO - Epoch(train) [86][940/3757] lr: 1.000e-04 eta: 4:04:58 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 10.7907 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.2060 loss: 1.2060 2022/06/28 18:40:08 - mmengine - INFO - Epoch(train) [86][960/3757] lr: 1.000e-04 eta: 4:04:52 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 8.3342 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0048 loss: 1.0048 2022/06/28 18:40:13 - mmengine - INFO - Epoch(train) [86][980/3757] lr: 1.000e-04 eta: 4:04:47 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 10.2347 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9468 loss: 0.9468 2022/06/28 18:40:18 - mmengine - INFO - Epoch(train) [86][1000/3757] lr: 1.000e-04 eta: 4:04:42 time: 0.220 data_time: 0.007 memory: 5148 grad_norm: 9.2985 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2556 loss: 1.2556 2022/06/28 18:40:23 - mmengine - INFO - Epoch(train) [86][1020/3757] lr: 1.000e-04 eta: 4:04:36 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 8.5314 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0432 loss: 1.0432 2022/06/28 18:40:29 - mmengine - INFO - Epoch(train) [86][1040/3757] lr: 1.000e-04 eta: 4:04:31 time: 0.209 data_time: 0.009 memory: 5148 grad_norm: 8.8367 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3121 loss: 1.3121 2022/06/28 18:40:34 - mmengine - INFO - Epoch(train) [86][1060/3757] lr: 1.000e-04 eta: 4:04:26 time: 0.388 data_time: 0.016 memory: 5148 grad_norm: 7.7792 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0710 loss: 1.0710 2022/06/28 18:40:39 - mmengine - INFO - Epoch(train) [86][1080/3757] lr: 1.000e-04 eta: 4:04:20 time: 0.218 data_time: 0.007 memory: 5148 grad_norm: 9.6635 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9557 loss: 0.9557 2022/06/28 18:40:45 - mmengine - INFO - Epoch(train) [86][1100/3757] lr: 1.000e-04 eta: 4:04:15 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 8.5840 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3389 loss: 1.3389 2022/06/28 18:40:50 - mmengine - INFO - Epoch(train) [86][1120/3757] lr: 1.000e-04 eta: 4:04:10 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 8.8791 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0424 loss: 1.0424 2022/06/28 18:40:55 - mmengine - INFO - Epoch(train) [86][1140/3757] lr: 1.000e-04 eta: 4:04:04 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 8.0781 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0281 loss: 1.0281 2022/06/28 18:41:01 - mmengine - INFO - Epoch(train) [86][1160/3757] lr: 1.000e-04 eta: 4:03:59 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 9.9955 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1480 loss: 1.1480 2022/06/28 18:41:07 - mmengine - INFO - Epoch(train) [86][1180/3757] lr: 1.000e-04 eta: 4:03:54 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 8.8574 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1557 loss: 1.1557 2022/06/28 18:41:11 - mmengine - INFO - Epoch(train) [86][1200/3757] lr: 1.000e-04 eta: 4:03:49 time: 0.208 data_time: 0.011 memory: 5148 grad_norm: 7.6542 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8827 loss: 0.8827 2022/06/28 18:41:17 - mmengine - INFO - Epoch(train) [86][1220/3757] lr: 1.000e-04 eta: 4:03:43 time: 0.447 data_time: 0.007 memory: 5148 grad_norm: 9.0686 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.1446 loss: 1.1446 2022/06/28 18:41:22 - mmengine - INFO - Epoch(train) [86][1240/3757] lr: 1.000e-04 eta: 4:03:38 time: 0.203 data_time: 0.015 memory: 5148 grad_norm: 9.4976 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0510 loss: 1.0510 2022/06/28 18:41:27 - mmengine - INFO - Epoch(train) [86][1260/3757] lr: 1.000e-04 eta: 4:03:33 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 8.2741 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2120 loss: 1.2120 2022/06/28 18:41:33 - mmengine - INFO - Epoch(train) [86][1280/3757] lr: 1.000e-04 eta: 4:03:27 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 8.2258 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0841 loss: 1.0841 2022/06/28 18:41:38 - mmengine - INFO - Epoch(train) [86][1300/3757] lr: 1.000e-04 eta: 4:03:22 time: 0.199 data_time: 0.012 memory: 5148 grad_norm: 8.2859 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2471 loss: 1.2471 2022/06/28 18:41:45 - mmengine - INFO - Epoch(train) [86][1320/3757] lr: 1.000e-04 eta: 4:03:17 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 8.2727 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0131 loss: 1.0131 2022/06/28 18:41:50 - mmengine - INFO - Epoch(train) [86][1340/3757] lr: 1.000e-04 eta: 4:03:12 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 8.8904 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3648 loss: 1.3648 2022/06/28 18:41:55 - mmengine - INFO - Epoch(train) [86][1360/3757] lr: 1.000e-04 eta: 4:03:06 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 9.1935 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9166 loss: 0.9166 2022/06/28 18:42:00 - mmengine - INFO - Epoch(train) [86][1380/3757] lr: 1.000e-04 eta: 4:03:01 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 8.2654 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0377 loss: 1.0377 2022/06/28 18:42:05 - mmengine - INFO - Epoch(train) [86][1400/3757] lr: 1.000e-04 eta: 4:02:56 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 10.6868 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1189 loss: 1.1189 2022/06/28 18:42:10 - mmengine - INFO - Epoch(train) [86][1420/3757] lr: 1.000e-04 eta: 4:02:50 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 10.3027 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1236 loss: 1.1236 2022/06/28 18:42:16 - mmengine - INFO - Epoch(train) [86][1440/3757] lr: 1.000e-04 eta: 4:02:45 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 9.8641 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3526 loss: 1.3526 2022/06/28 18:42:21 - mmengine - INFO - Epoch(train) [86][1460/3757] lr: 1.000e-04 eta: 4:02:40 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 8.9865 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2050 loss: 1.2050 2022/06/28 18:42:27 - mmengine - INFO - Epoch(train) [86][1480/3757] lr: 1.000e-04 eta: 4:02:34 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 8.4949 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2857 loss: 1.2857 2022/06/28 18:42:32 - mmengine - INFO - Epoch(train) [86][1500/3757] lr: 1.000e-04 eta: 4:02:29 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 9.6957 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2760 loss: 1.2760 2022/06/28 18:42:38 - mmengine - INFO - Epoch(train) [86][1520/3757] lr: 1.000e-04 eta: 4:02:24 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 7.7701 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2523 loss: 1.2523 2022/06/28 18:42:43 - mmengine - INFO - Epoch(train) [86][1540/3757] lr: 1.000e-04 eta: 4:02:19 time: 0.228 data_time: 0.008 memory: 5148 grad_norm: 8.9382 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2992 loss: 1.2992 2022/06/28 18:42:48 - mmengine - INFO - Epoch(train) [86][1560/3757] lr: 1.000e-04 eta: 4:02:13 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 8.5168 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3394 loss: 1.3394 2022/06/28 18:42:54 - mmengine - INFO - Epoch(train) [86][1580/3757] lr: 1.000e-04 eta: 4:02:08 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 8.5979 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2281 loss: 1.2281 2022/06/28 18:42:59 - mmengine - INFO - Epoch(train) [86][1600/3757] lr: 1.000e-04 eta: 4:02:03 time: 0.209 data_time: 0.011 memory: 5148 grad_norm: 10.6547 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4412 loss: 1.4412 2022/06/28 18:43:04 - mmengine - INFO - Epoch(train) [86][1620/3757] lr: 1.000e-04 eta: 4:01:57 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 8.9768 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0406 loss: 1.0406 2022/06/28 18:43:10 - mmengine - INFO - Epoch(train) [86][1640/3757] lr: 1.000e-04 eta: 4:01:52 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 10.0679 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1460 loss: 1.1460 2022/06/28 18:43:13 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 18:43:15 - mmengine - INFO - Epoch(train) [86][1660/3757] lr: 1.000e-04 eta: 4:01:47 time: 0.695 data_time: 0.008 memory: 5148 grad_norm: 6.2914 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4931 loss: 1.4931 2022/06/28 18:43:21 - mmengine - INFO - Epoch(train) [86][1680/3757] lr: 1.000e-04 eta: 4:01:41 time: 0.239 data_time: 0.007 memory: 5148 grad_norm: 8.7054 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2521 loss: 1.2521 2022/06/28 18:43:25 - mmengine - INFO - Epoch(train) [86][1700/3757] lr: 1.000e-04 eta: 4:01:36 time: 0.212 data_time: 0.008 memory: 5148 grad_norm: 9.6208 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2810 loss: 1.2810 2022/06/28 18:43:31 - mmengine - INFO - Epoch(train) [86][1720/3757] lr: 1.000e-04 eta: 4:01:31 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 9.2077 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2798 loss: 1.2798 2022/06/28 18:43:37 - mmengine - INFO - Epoch(train) [86][1740/3757] lr: 1.000e-04 eta: 4:01:26 time: 0.777 data_time: 0.008 memory: 5148 grad_norm: 10.1149 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0553 loss: 1.0553 2022/06/28 18:43:42 - mmengine - INFO - Epoch(train) [86][1760/3757] lr: 1.000e-04 eta: 4:01:20 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 8.0710 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2590 loss: 1.2590 2022/06/28 18:43:47 - mmengine - INFO - Epoch(train) [86][1780/3757] lr: 1.000e-04 eta: 4:01:15 time: 0.215 data_time: 0.017 memory: 5148 grad_norm: 9.0285 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2948 loss: 1.2948 2022/06/28 18:43:52 - mmengine - INFO - Epoch(train) [86][1800/3757] lr: 1.000e-04 eta: 4:01:10 time: 0.391 data_time: 0.010 memory: 5148 grad_norm: 8.7631 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2977 loss: 1.2977 2022/06/28 18:43:58 - mmengine - INFO - Epoch(train) [86][1820/3757] lr: 1.000e-04 eta: 4:01:04 time: 0.222 data_time: 0.008 memory: 5148 grad_norm: 8.7114 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1628 loss: 1.1628 2022/06/28 18:44:03 - mmengine - INFO - Epoch(train) [86][1840/3757] lr: 1.000e-04 eta: 4:00:59 time: 0.215 data_time: 0.031 memory: 5148 grad_norm: 8.7467 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1165 loss: 1.1165 2022/06/28 18:44:08 - mmengine - INFO - Epoch(train) [86][1860/3757] lr: 1.000e-04 eta: 4:00:54 time: 0.573 data_time: 0.011 memory: 5148 grad_norm: 9.8099 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2743 loss: 1.2743 2022/06/28 18:44:14 - mmengine - INFO - Epoch(train) [86][1880/3757] lr: 1.000e-04 eta: 4:00:48 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 8.7566 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0997 loss: 1.0997 2022/06/28 18:44:19 - mmengine - INFO - Epoch(train) [86][1900/3757] lr: 1.000e-04 eta: 4:00:43 time: 0.209 data_time: 0.023 memory: 5148 grad_norm: 8.6374 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7851 loss: 0.7851 2022/06/28 18:44:24 - mmengine - INFO - Epoch(train) [86][1920/3757] lr: 1.000e-04 eta: 4:00:38 time: 0.284 data_time: 0.007 memory: 5148 grad_norm: 9.7805 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9664 loss: 0.9664 2022/06/28 18:44:30 - mmengine - INFO - Epoch(train) [86][1940/3757] lr: 1.000e-04 eta: 4:00:32 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 8.1497 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2951 loss: 1.2951 2022/06/28 18:44:35 - mmengine - INFO - Epoch(train) [86][1960/3757] lr: 1.000e-04 eta: 4:00:27 time: 0.204 data_time: 0.016 memory: 5148 grad_norm: 9.0437 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0078 loss: 1.0078 2022/06/28 18:44:40 - mmengine - INFO - Epoch(train) [86][1980/3757] lr: 1.000e-04 eta: 4:00:22 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 9.1335 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0879 loss: 1.0879 2022/06/28 18:44:46 - mmengine - INFO - Epoch(train) [86][2000/3757] lr: 1.000e-04 eta: 4:00:17 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 7.7317 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2009 loss: 1.2009 2022/06/28 18:44:51 - mmengine - INFO - Epoch(train) [86][2020/3757] lr: 1.000e-04 eta: 4:00:11 time: 0.207 data_time: 0.015 memory: 5148 grad_norm: 10.2327 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4469 loss: 1.4469 2022/06/28 18:44:56 - mmengine - INFO - Epoch(train) [86][2040/3757] lr: 1.000e-04 eta: 4:00:06 time: 0.224 data_time: 0.007 memory: 5148 grad_norm: 8.0146 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2522 loss: 1.2522 2022/06/28 18:45:02 - mmengine - INFO - Epoch(train) [86][2060/3757] lr: 1.000e-04 eta: 4:00:01 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 8.1905 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2353 loss: 1.2353 2022/06/28 18:45:07 - mmengine - INFO - Epoch(train) [86][2080/3757] lr: 1.000e-04 eta: 3:59:55 time: 0.201 data_time: 0.013 memory: 5148 grad_norm: 9.4176 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8308 loss: 0.8308 2022/06/28 18:45:12 - mmengine - INFO - Epoch(train) [86][2100/3757] lr: 1.000e-04 eta: 3:59:50 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 8.8637 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0697 loss: 1.0697 2022/06/28 18:45:18 - mmengine - INFO - Epoch(train) [86][2120/3757] lr: 1.000e-04 eta: 3:59:45 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 7.4610 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0927 loss: 1.0927 2022/06/28 18:45:23 - mmengine - INFO - Epoch(train) [86][2140/3757] lr: 1.000e-04 eta: 3:59:39 time: 0.197 data_time: 0.009 memory: 5148 grad_norm: 9.6409 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9463 loss: 0.9463 2022/06/28 18:45:28 - mmengine - INFO - Epoch(train) [86][2160/3757] lr: 1.000e-04 eta: 3:59:34 time: 0.216 data_time: 0.008 memory: 5148 grad_norm: 9.8284 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0591 loss: 1.0591 2022/06/28 18:45:33 - mmengine - INFO - Epoch(train) [86][2180/3757] lr: 1.000e-04 eta: 3:59:29 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 7.9836 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0491 loss: 1.0491 2022/06/28 18:45:40 - mmengine - INFO - Epoch(train) [86][2200/3757] lr: 1.000e-04 eta: 3:59:24 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 9.3483 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2953 loss: 1.2953 2022/06/28 18:45:45 - mmengine - INFO - Epoch(train) [86][2220/3757] lr: 1.000e-04 eta: 3:59:18 time: 0.230 data_time: 0.008 memory: 5148 grad_norm: 10.0583 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5422 loss: 1.5422 2022/06/28 18:45:50 - mmengine - INFO - Epoch(train) [86][2240/3757] lr: 1.000e-04 eta: 3:59:13 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 9.9655 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3599 loss: 1.3599 2022/06/28 18:45:55 - mmengine - INFO - Epoch(train) [86][2260/3757] lr: 1.000e-04 eta: 3:59:08 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 9.5862 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0969 loss: 1.0969 2022/06/28 18:46:01 - mmengine - INFO - Epoch(train) [86][2280/3757] lr: 1.000e-04 eta: 3:59:02 time: 0.210 data_time: 0.006 memory: 5148 grad_norm: 8.6923 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3309 loss: 1.3309 2022/06/28 18:46:06 - mmengine - INFO - Epoch(train) [86][2300/3757] lr: 1.000e-04 eta: 3:58:57 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 10.1478 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2696 loss: 1.2696 2022/06/28 18:46:11 - mmengine - INFO - Epoch(train) [86][2320/3757] lr: 1.000e-04 eta: 3:58:52 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 10.1767 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2367 loss: 1.2367 2022/06/28 18:46:17 - mmengine - INFO - Epoch(train) [86][2340/3757] lr: 1.000e-04 eta: 3:58:46 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 9.4257 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1394 loss: 1.1394 2022/06/28 18:46:22 - mmengine - INFO - Epoch(train) [86][2360/3757] lr: 1.000e-04 eta: 3:58:41 time: 0.204 data_time: 0.022 memory: 5148 grad_norm: 8.4903 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2890 loss: 1.2890 2022/06/28 18:46:28 - mmengine - INFO - Epoch(train) [86][2380/3757] lr: 1.000e-04 eta: 3:58:36 time: 0.235 data_time: 0.008 memory: 5148 grad_norm: 7.8278 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1217 loss: 1.1217 2022/06/28 18:46:33 - mmengine - INFO - Epoch(train) [86][2400/3757] lr: 1.000e-04 eta: 3:58:31 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 8.2998 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2051 loss: 1.2051 2022/06/28 18:46:39 - mmengine - INFO - Epoch(train) [86][2420/3757] lr: 1.000e-04 eta: 3:58:25 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 7.4227 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1693 loss: 1.1693 2022/06/28 18:46:45 - mmengine - INFO - Epoch(train) [86][2440/3757] lr: 1.000e-04 eta: 3:58:20 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 9.7392 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5121 loss: 1.5121 2022/06/28 18:46:50 - mmengine - INFO - Epoch(train) [86][2460/3757] lr: 1.000e-04 eta: 3:58:15 time: 0.217 data_time: 0.008 memory: 5148 grad_norm: 8.0058 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0062 loss: 1.0062 2022/06/28 18:46:55 - mmengine - INFO - Epoch(train) [86][2480/3757] lr: 1.000e-04 eta: 3:58:09 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 10.0883 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9426 loss: 0.9426 2022/06/28 18:47:00 - mmengine - INFO - Epoch(train) [86][2500/3757] lr: 1.000e-04 eta: 3:58:04 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 7.9253 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0028 loss: 1.0028 2022/06/28 18:47:05 - mmengine - INFO - Epoch(train) [86][2520/3757] lr: 1.000e-04 eta: 3:57:59 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 8.8333 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7715 loss: 0.7715 2022/06/28 18:47:10 - mmengine - INFO - Epoch(train) [86][2540/3757] lr: 1.000e-04 eta: 3:57:53 time: 0.212 data_time: 0.008 memory: 5148 grad_norm: 7.3634 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8327 loss: 0.8327 2022/06/28 18:47:16 - mmengine - INFO - Epoch(train) [86][2560/3757] lr: 1.000e-04 eta: 3:57:48 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 11.2700 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3460 loss: 1.3460 2022/06/28 18:47:21 - mmengine - INFO - Epoch(train) [86][2580/3757] lr: 1.000e-04 eta: 3:57:43 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 7.9808 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5485 loss: 1.5485 2022/06/28 18:47:27 - mmengine - INFO - Epoch(train) [86][2600/3757] lr: 1.000e-04 eta: 3:57:38 time: 0.220 data_time: 0.043 memory: 5148 grad_norm: 8.3398 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4063 loss: 1.4063 2022/06/28 18:47:32 - mmengine - INFO - Epoch(train) [86][2620/3757] lr: 1.000e-04 eta: 3:57:32 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 8.3523 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0107 loss: 1.0107 2022/06/28 18:47:38 - mmengine - INFO - Epoch(train) [86][2640/3757] lr: 1.000e-04 eta: 3:57:27 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 10.1588 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3281 loss: 1.3281 2022/06/28 18:47:42 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 18:47:44 - mmengine - INFO - Epoch(train) [86][2660/3757] lr: 1.000e-04 eta: 3:57:22 time: 0.238 data_time: 0.011 memory: 5148 grad_norm: 9.2414 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9873 loss: 0.9873 2022/06/28 18:47:49 - mmengine - INFO - Epoch(train) [86][2680/3757] lr: 1.000e-04 eta: 3:57:17 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 10.0894 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6284 loss: 1.6284 2022/06/28 18:47:54 - mmengine - INFO - Epoch(train) [86][2700/3757] lr: 1.000e-04 eta: 3:57:11 time: 0.216 data_time: 0.010 memory: 5148 grad_norm: 8.6817 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1537 loss: 1.1537 2022/06/28 18:47:59 - mmengine - INFO - Epoch(train) [86][2720/3757] lr: 1.000e-04 eta: 3:57:06 time: 0.220 data_time: 0.010 memory: 5148 grad_norm: 8.1548 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1699 loss: 1.1699 2022/06/28 18:48:04 - mmengine - INFO - Epoch(train) [86][2740/3757] lr: 1.000e-04 eta: 3:57:01 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 9.2830 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2956 loss: 1.2956 2022/06/28 18:48:10 - mmengine - INFO - Epoch(train) [86][2760/3757] lr: 1.000e-04 eta: 3:56:55 time: 0.204 data_time: 0.016 memory: 5148 grad_norm: 11.1974 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0745 loss: 1.0745 2022/06/28 18:48:15 - mmengine - INFO - Epoch(train) [86][2780/3757] lr: 1.000e-04 eta: 3:56:50 time: 0.206 data_time: 0.021 memory: 5148 grad_norm: 9.7468 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9781 loss: 0.9781 2022/06/28 18:48:20 - mmengine - INFO - Epoch(train) [86][2800/3757] lr: 1.000e-04 eta: 3:56:45 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 9.6332 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2399 loss: 1.2399 2022/06/28 18:48:26 - mmengine - INFO - Epoch(train) [86][2820/3757] lr: 1.000e-04 eta: 3:56:39 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 8.1390 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4870 loss: 1.4870 2022/06/28 18:48:31 - mmengine - INFO - Epoch(train) [86][2840/3757] lr: 1.000e-04 eta: 3:56:34 time: 0.200 data_time: 0.017 memory: 5148 grad_norm: 10.1761 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1610 loss: 1.1610 2022/06/28 18:48:37 - mmengine - INFO - Epoch(train) [86][2860/3757] lr: 1.000e-04 eta: 3:56:29 time: 0.246 data_time: 0.007 memory: 5148 grad_norm: 9.1081 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2990 loss: 1.2990 2022/06/28 18:48:43 - mmengine - INFO - Epoch(train) [86][2880/3757] lr: 1.000e-04 eta: 3:56:24 time: 0.211 data_time: 0.016 memory: 5148 grad_norm: 9.3612 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3104 loss: 1.3104 2022/06/28 18:48:47 - mmengine - INFO - Epoch(train) [86][2900/3757] lr: 1.000e-04 eta: 3:56:18 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 10.8283 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3195 loss: 1.3195 2022/06/28 18:48:53 - mmengine - INFO - Epoch(train) [86][2920/3757] lr: 1.000e-04 eta: 3:56:13 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 9.2934 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2789 loss: 1.2789 2022/06/28 18:48:59 - mmengine - INFO - Epoch(train) [86][2940/3757] lr: 1.000e-04 eta: 3:56:08 time: 0.226 data_time: 0.028 memory: 5148 grad_norm: 8.9637 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3544 loss: 1.3544 2022/06/28 18:49:04 - mmengine - INFO - Epoch(train) [86][2960/3757] lr: 1.000e-04 eta: 3:56:02 time: 0.205 data_time: 0.017 memory: 5148 grad_norm: 9.4241 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5030 loss: 1.5030 2022/06/28 18:49:09 - mmengine - INFO - Epoch(train) [86][2980/3757] lr: 1.000e-04 eta: 3:55:57 time: 0.217 data_time: 0.008 memory: 5148 grad_norm: 9.3173 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3345 loss: 1.3345 2022/06/28 18:49:15 - mmengine - INFO - Epoch(train) [86][3000/3757] lr: 1.000e-04 eta: 3:55:52 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 7.3102 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1347 loss: 1.1347 2022/06/28 18:49:21 - mmengine - INFO - Epoch(train) [86][3020/3757] lr: 1.000e-04 eta: 3:55:47 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 8.4770 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2372 loss: 1.2372 2022/06/28 18:49:25 - mmengine - INFO - Epoch(train) [86][3040/3757] lr: 1.000e-04 eta: 3:55:41 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 7.7574 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3951 loss: 1.3951 2022/06/28 18:49:30 - mmengine - INFO - Epoch(train) [86][3060/3757] lr: 1.000e-04 eta: 3:55:36 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 8.7915 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2129 loss: 1.2129 2022/06/28 18:49:36 - mmengine - INFO - Epoch(train) [86][3080/3757] lr: 1.000e-04 eta: 3:55:31 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 8.5161 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4113 loss: 1.4113 2022/06/28 18:49:42 - mmengine - INFO - Epoch(train) [86][3100/3757] lr: 1.000e-04 eta: 3:55:25 time: 0.208 data_time: 0.011 memory: 5148 grad_norm: 10.2301 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2475 loss: 1.2475 2022/06/28 18:49:46 - mmengine - INFO - Epoch(train) [86][3120/3757] lr: 1.000e-04 eta: 3:55:20 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 7.7277 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3075 loss: 1.3075 2022/06/28 18:49:53 - mmengine - INFO - Epoch(train) [86][3140/3757] lr: 1.000e-04 eta: 3:55:15 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 8.5319 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0596 loss: 1.0596 2022/06/28 18:49:58 - mmengine - INFO - Epoch(train) [86][3160/3757] lr: 1.000e-04 eta: 3:55:10 time: 0.249 data_time: 0.007 memory: 5148 grad_norm: 8.7905 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4453 loss: 1.4453 2022/06/28 18:50:03 - mmengine - INFO - Epoch(train) [86][3180/3757] lr: 1.000e-04 eta: 3:55:04 time: 0.217 data_time: 0.008 memory: 5148 grad_norm: 7.2628 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9841 loss: 0.9841 2022/06/28 18:50:09 - mmengine - INFO - Epoch(train) [86][3200/3757] lr: 1.000e-04 eta: 3:54:59 time: 0.205 data_time: 0.021 memory: 5148 grad_norm: 8.4755 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2346 loss: 1.2346 2022/06/28 18:50:14 - mmengine - INFO - Epoch(train) [86][3220/3757] lr: 1.000e-04 eta: 3:54:54 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 9.1379 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9376 loss: 0.9376 2022/06/28 18:50:19 - mmengine - INFO - Epoch(train) [86][3240/3757] lr: 1.000e-04 eta: 3:54:48 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 8.8659 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3579 loss: 1.3579 2022/06/28 18:50:25 - mmengine - INFO - Epoch(train) [86][3260/3757] lr: 1.000e-04 eta: 3:54:43 time: 0.207 data_time: 0.014 memory: 5148 grad_norm: 8.6819 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0734 loss: 1.0734 2022/06/28 18:50:30 - mmengine - INFO - Epoch(train) [86][3280/3757] lr: 1.000e-04 eta: 3:54:38 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 8.5016 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8855 loss: 0.8855 2022/06/28 18:50:35 - mmengine - INFO - Epoch(train) [86][3300/3757] lr: 1.000e-04 eta: 3:54:32 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 11.6480 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1890 loss: 1.1890 2022/06/28 18:50:40 - mmengine - INFO - Epoch(train) [86][3320/3757] lr: 1.000e-04 eta: 3:54:27 time: 0.212 data_time: 0.011 memory: 5148 grad_norm: 7.1983 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2755 loss: 1.2755 2022/06/28 18:50:45 - mmengine - INFO - Epoch(train) [86][3340/3757] lr: 1.000e-04 eta: 3:54:22 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 9.2936 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0052 loss: 1.0052 2022/06/28 18:50:51 - mmengine - INFO - Epoch(train) [86][3360/3757] lr: 1.000e-04 eta: 3:54:16 time: 0.215 data_time: 0.008 memory: 5148 grad_norm: 9.1223 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7158 loss: 0.7158 2022/06/28 18:50:57 - mmengine - INFO - Epoch(train) [86][3380/3757] lr: 1.000e-04 eta: 3:54:11 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 8.6779 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9658 loss: 0.9658 2022/06/28 18:51:03 - mmengine - INFO - Epoch(train) [86][3400/3757] lr: 1.000e-04 eta: 3:54:06 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 8.2951 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9012 loss: 0.9012 2022/06/28 18:51:07 - mmengine - INFO - Epoch(train) [86][3420/3757] lr: 1.000e-04 eta: 3:54:01 time: 0.223 data_time: 0.007 memory: 5148 grad_norm: 9.0980 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3938 loss: 1.3938 2022/06/28 18:51:14 - mmengine - INFO - Epoch(train) [86][3440/3757] lr: 1.000e-04 eta: 3:53:55 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 9.8930 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1989 loss: 1.1989 2022/06/28 18:51:18 - mmengine - INFO - Epoch(train) [86][3460/3757] lr: 1.000e-04 eta: 3:53:50 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 10.9385 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2514 loss: 1.2514 2022/06/28 18:51:23 - mmengine - INFO - Epoch(train) [86][3480/3757] lr: 1.000e-04 eta: 3:53:45 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 9.2486 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3106 loss: 1.3106 2022/06/28 18:51:29 - mmengine - INFO - Epoch(train) [86][3500/3757] lr: 1.000e-04 eta: 3:53:39 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 8.1779 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2261 loss: 1.2261 2022/06/28 18:51:34 - mmengine - INFO - Epoch(train) [86][3520/3757] lr: 1.000e-04 eta: 3:53:34 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 9.1447 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9646 loss: 0.9646 2022/06/28 18:51:40 - mmengine - INFO - Epoch(train) [86][3540/3757] lr: 1.000e-04 eta: 3:53:29 time: 0.648 data_time: 0.008 memory: 5148 grad_norm: 8.1138 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3360 loss: 1.3360 2022/06/28 18:51:46 - mmengine - INFO - Epoch(train) [86][3560/3757] lr: 1.000e-04 eta: 3:53:24 time: 0.202 data_time: 0.018 memory: 5148 grad_norm: 10.8671 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6741 loss: 0.6741 2022/06/28 18:51:51 - mmengine - INFO - Epoch(train) [86][3580/3757] lr: 1.000e-04 eta: 3:53:18 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 8.2744 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1394 loss: 1.1394 2022/06/28 18:51:55 - mmengine - INFO - Epoch(train) [86][3600/3757] lr: 1.000e-04 eta: 3:53:13 time: 0.208 data_time: 0.009 memory: 5148 grad_norm: 10.7211 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1325 loss: 1.1325 2022/06/28 18:52:01 - mmengine - INFO - Epoch(train) [86][3620/3757] lr: 1.000e-04 eta: 3:53:08 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 9.2091 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0037 loss: 1.0037 2022/06/28 18:52:07 - mmengine - INFO - Epoch(train) [86][3640/3757] lr: 1.000e-04 eta: 3:53:02 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 9.4202 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1554 loss: 1.1554 2022/06/28 18:52:12 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 18:52:13 - mmengine - INFO - Epoch(train) [86][3660/3757] lr: 1.000e-04 eta: 3:52:57 time: 0.203 data_time: 0.012 memory: 5148 grad_norm: 10.7870 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1593 loss: 1.1593 2022/06/28 18:52:17 - mmengine - INFO - Epoch(train) [86][3680/3757] lr: 1.000e-04 eta: 3:52:52 time: 0.199 data_time: 0.021 memory: 5148 grad_norm: 9.7404 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4448 loss: 1.4448 2022/06/28 18:52:24 - mmengine - INFO - Epoch(train) [86][3700/3757] lr: 1.000e-04 eta: 3:52:47 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 8.7964 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9630 loss: 0.9630 2022/06/28 18:52:31 - mmengine - INFO - Epoch(train) [86][3720/3757] lr: 1.000e-04 eta: 3:52:42 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 9.1299 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4440 loss: 1.4440 2022/06/28 18:52:36 - mmengine - INFO - Epoch(train) [86][3740/3757] lr: 1.000e-04 eta: 3:52:36 time: 0.219 data_time: 0.007 memory: 5148 grad_norm: 7.1810 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0867 loss: 1.0867 2022/06/28 18:52:39 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 18:52:46 - mmengine - INFO - Epoch(val) [86][20/310] eta: 0:01:14 time: 0.491 data_time: 0.419 memory: 5148 2022/06/28 18:52:50 - mmengine - INFO - Epoch(val) [86][40/310] eta: 0:00:53 time: 0.113 data_time: 0.041 memory: 1367 2022/06/28 18:52:57 - mmengine - INFO - Epoch(val) [86][60/310] eta: 0:01:10 time: 0.087 data_time: 0.005 memory: 1367 2022/06/28 18:53:02 - mmengine - INFO - Epoch(val) [86][80/310] eta: 0:00:52 time: 0.089 data_time: 0.009 memory: 1367 2022/06/28 18:53:07 - mmengine - INFO - Epoch(val) [86][100/310] eta: 0:01:05 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 18:53:12 - mmengine - INFO - Epoch(val) [86][120/310] eta: 0:00:46 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 18:53:18 - mmengine - INFO - Epoch(val) [86][140/310] eta: 0:01:00 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 18:53:23 - mmengine - INFO - Epoch(val) [86][160/310] eta: 0:00:46 time: 0.671 data_time: 0.598 memory: 1367 2022/06/28 18:53:28 - mmengine - INFO - Epoch(val) [86][180/310] eta: 0:00:41 time: 0.085 data_time: 0.005 memory: 1367 2022/06/28 18:53:33 - mmengine - INFO - Epoch(val) [86][200/310] eta: 0:00:25 time: 0.208 data_time: 0.131 memory: 1367 2022/06/28 18:53:39 - mmengine - INFO - Epoch(val) [86][220/310] eta: 0:00:37 time: 0.091 data_time: 0.005 memory: 1367 2022/06/28 18:53:44 - mmengine - INFO - Epoch(val) [86][240/310] eta: 0:00:15 time: 0.089 data_time: 0.009 memory: 1367 2022/06/28 18:53:50 - mmengine - INFO - Epoch(val) [86][260/310] eta: 0:00:18 time: 0.086 data_time: 0.008 memory: 1367 2022/06/28 18:53:54 - mmengine - INFO - Epoch(val) [86][280/310] eta: 0:00:07 time: 0.083 data_time: 0.005 memory: 1367 2022/06/28 18:54:00 - mmengine - INFO - Epoch(val) [86][300/310] eta: 0:00:03 time: 0.075 data_time: 0.004 memory: 1367 2022/06/28 18:54:03 - mmengine - INFO - Epoch(val) [86][310/310] acc/top1: 0.6601 acc/top5: 0.8618 acc/mean1: 0.6600 2022/06/28 18:54:11 - mmengine - INFO - Epoch(train) [87][20/3757] lr: 1.000e-04 eta: 3:52:26 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 6.4928 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0529 loss: 1.0529 2022/06/28 18:54:17 - mmengine - INFO - Epoch(train) [87][40/3757] lr: 1.000e-04 eta: 3:52:21 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 9.5314 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1002 loss: 1.1002 2022/06/28 18:54:22 - mmengine - INFO - Epoch(train) [87][60/3757] lr: 1.000e-04 eta: 3:52:16 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 9.1141 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4028 loss: 1.4028 2022/06/28 18:54:28 - mmengine - INFO - Epoch(train) [87][80/3757] lr: 1.000e-04 eta: 3:52:11 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 10.3596 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.0110 loss: 1.0110 2022/06/28 18:54:33 - mmengine - INFO - Epoch(train) [87][100/3757] lr: 1.000e-04 eta: 3:52:05 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 8.5734 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1434 loss: 1.1434 2022/06/28 18:54:39 - mmengine - INFO - Epoch(train) [87][120/3757] lr: 1.000e-04 eta: 3:52:00 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 10.1661 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1675 loss: 1.1675 2022/06/28 18:54:45 - mmengine - INFO - Epoch(train) [87][140/3757] lr: 1.000e-04 eta: 3:51:55 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 9.2175 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9073 loss: 0.9073 2022/06/28 18:54:51 - mmengine - INFO - Epoch(train) [87][160/3757] lr: 1.000e-04 eta: 3:51:50 time: 0.219 data_time: 0.008 memory: 5148 grad_norm: 8.4642 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0906 loss: 1.0906 2022/06/28 18:54:55 - mmengine - INFO - Epoch(train) [87][180/3757] lr: 1.000e-04 eta: 3:51:44 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 7.4470 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9036 loss: 0.9036 2022/06/28 18:55:01 - mmengine - INFO - Epoch(train) [87][200/3757] lr: 1.000e-04 eta: 3:51:39 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 8.3337 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0343 loss: 1.0343 2022/06/28 18:55:07 - mmengine - INFO - Epoch(train) [87][220/3757] lr: 1.000e-04 eta: 3:51:34 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 6.5433 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2696 loss: 1.2696 2022/06/28 18:55:12 - mmengine - INFO - Epoch(train) [87][240/3757] lr: 1.000e-04 eta: 3:51:28 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 7.4115 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4610 loss: 1.4610 2022/06/28 18:55:18 - mmengine - INFO - Epoch(train) [87][260/3757] lr: 1.000e-04 eta: 3:51:23 time: 0.207 data_time: 0.009 memory: 5148 grad_norm: 8.8910 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0498 loss: 1.0498 2022/06/28 18:55:22 - mmengine - INFO - Epoch(train) [87][280/3757] lr: 1.000e-04 eta: 3:51:18 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 9.9361 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9374 loss: 0.9374 2022/06/28 18:55:28 - mmengine - INFO - Epoch(train) [87][300/3757] lr: 1.000e-04 eta: 3:51:12 time: 0.207 data_time: 0.024 memory: 5148 grad_norm: 9.9564 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0219 loss: 1.0219 2022/06/28 18:55:33 - mmengine - INFO - Epoch(train) [87][320/3757] lr: 1.000e-04 eta: 3:51:07 time: 0.203 data_time: 0.009 memory: 5148 grad_norm: 9.4506 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6417 loss: 1.6417 2022/06/28 18:55:39 - mmengine - INFO - Epoch(train) [87][340/3757] lr: 1.000e-04 eta: 3:51:02 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 8.9310 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3407 loss: 1.3407 2022/06/28 18:55:44 - mmengine - INFO - Epoch(train) [87][360/3757] lr: 1.000e-04 eta: 3:50:57 time: 0.507 data_time: 0.325 memory: 5148 grad_norm: 9.6631 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0766 loss: 1.0766 2022/06/28 18:55:49 - mmengine - INFO - Epoch(train) [87][380/3757] lr: 1.000e-04 eta: 3:50:51 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 7.5131 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3174 loss: 1.3174 2022/06/28 18:55:54 - mmengine - INFO - Epoch(train) [87][400/3757] lr: 1.000e-04 eta: 3:50:46 time: 0.212 data_time: 0.008 memory: 5148 grad_norm: 8.3350 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1592 loss: 1.1592 2022/06/28 18:55:59 - mmengine - INFO - Epoch(train) [87][420/3757] lr: 1.000e-04 eta: 3:50:41 time: 0.409 data_time: 0.228 memory: 5148 grad_norm: 8.2325 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1046 loss: 1.1046 2022/06/28 18:56:04 - mmengine - INFO - Epoch(train) [87][440/3757] lr: 1.000e-04 eta: 3:50:35 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 8.2135 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7380 loss: 0.7380 2022/06/28 18:56:10 - mmengine - INFO - Epoch(train) [87][460/3757] lr: 1.000e-04 eta: 3:50:30 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 9.0969 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1000 loss: 1.1000 2022/06/28 18:56:15 - mmengine - INFO - Epoch(train) [87][480/3757] lr: 1.000e-04 eta: 3:50:25 time: 0.219 data_time: 0.031 memory: 5148 grad_norm: 8.0676 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0497 loss: 1.0497 2022/06/28 18:56:20 - mmengine - INFO - Epoch(train) [87][500/3757] lr: 1.000e-04 eta: 3:50:19 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 11.7158 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4352 loss: 1.4352 2022/06/28 18:56:26 - mmengine - INFO - Epoch(train) [87][520/3757] lr: 1.000e-04 eta: 3:50:14 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 9.5194 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4083 loss: 1.4083 2022/06/28 18:56:31 - mmengine - INFO - Epoch(train) [87][540/3757] lr: 1.000e-04 eta: 3:50:09 time: 0.206 data_time: 0.021 memory: 5148 grad_norm: 9.1065 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2020 loss: 1.2020 2022/06/28 18:56:36 - mmengine - INFO - Epoch(train) [87][560/3757] lr: 1.000e-04 eta: 3:50:03 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 7.7411 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3485 loss: 1.3485 2022/06/28 18:56:42 - mmengine - INFO - Epoch(train) [87][580/3757] lr: 1.000e-04 eta: 3:49:58 time: 0.208 data_time: 0.028 memory: 5148 grad_norm: 9.6113 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5427 loss: 1.5427 2022/06/28 18:56:47 - mmengine - INFO - Epoch(train) [87][600/3757] lr: 1.000e-04 eta: 3:49:53 time: 0.197 data_time: 0.013 memory: 5148 grad_norm: 10.8875 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8517 loss: 0.8517 2022/06/28 18:56:52 - mmengine - INFO - Epoch(train) [87][620/3757] lr: 1.000e-04 eta: 3:49:47 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 10.0014 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3466 loss: 1.3466 2022/06/28 18:56:57 - mmengine - INFO - Epoch(train) [87][640/3757] lr: 1.000e-04 eta: 3:49:42 time: 0.211 data_time: 0.021 memory: 5148 grad_norm: 9.9223 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0758 loss: 1.0758 2022/06/28 18:57:03 - mmengine - INFO - Epoch(train) [87][660/3757] lr: 1.000e-04 eta: 3:49:37 time: 0.216 data_time: 0.032 memory: 5148 grad_norm: 8.3963 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3110 loss: 1.3110 2022/06/28 18:57:08 - mmengine - INFO - Epoch(train) [87][680/3757] lr: 1.000e-04 eta: 3:49:31 time: 0.204 data_time: 0.013 memory: 5148 grad_norm: 8.4409 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1631 loss: 1.1631 2022/06/28 18:57:13 - mmengine - INFO - Epoch(train) [87][700/3757] lr: 1.000e-04 eta: 3:49:26 time: 0.216 data_time: 0.034 memory: 5148 grad_norm: 9.2128 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4474 loss: 1.4474 2022/06/28 18:57:25 - mmengine - INFO - Epoch(train) [87][720/3757] lr: 1.000e-04 eta: 3:49:22 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 9.0278 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2472 loss: 1.2472 2022/06/28 18:57:33 - mmengine - INFO - Epoch(train) [87][740/3757] lr: 1.000e-04 eta: 3:49:17 time: 0.214 data_time: 0.010 memory: 5148 grad_norm: 9.9211 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0439 loss: 1.0439 2022/06/28 18:57:37 - mmengine - INFO - Epoch(train) [87][760/3757] lr: 1.000e-04 eta: 3:49:12 time: 0.225 data_time: 0.007 memory: 5148 grad_norm: 8.5583 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1515 loss: 1.1515 2022/06/28 18:57:41 - mmengine - INFO - Epoch(train) [87][780/3757] lr: 1.000e-04 eta: 3:49:06 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 9.7192 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6286 loss: 1.6286 2022/06/28 18:57:46 - mmengine - INFO - Epoch(train) [87][800/3757] lr: 1.000e-04 eta: 3:49:01 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 8.4881 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0364 loss: 1.0364 2022/06/28 18:57:52 - mmengine - INFO - Epoch(train) [87][820/3757] lr: 1.000e-04 eta: 3:48:55 time: 0.391 data_time: 0.112 memory: 5148 grad_norm: 9.2155 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2236 loss: 1.2236 2022/06/28 18:57:57 - mmengine - INFO - Epoch(train) [87][840/3757] lr: 1.000e-04 eta: 3:48:50 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 7.6774 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1302 loss: 1.1302 2022/06/28 18:58:02 - mmengine - INFO - Epoch(train) [87][860/3757] lr: 1.000e-04 eta: 3:48:45 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 9.4856 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0989 loss: 1.0989 2022/06/28 18:58:08 - mmengine - INFO - Epoch(train) [87][880/3757] lr: 1.000e-04 eta: 3:48:40 time: 0.218 data_time: 0.019 memory: 5148 grad_norm: 9.0520 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2891 loss: 1.2891 2022/06/28 18:58:12 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 18:58:13 - mmengine - INFO - Epoch(train) [87][900/3757] lr: 1.000e-04 eta: 3:48:34 time: 0.235 data_time: 0.008 memory: 5148 grad_norm: 9.3900 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2197 loss: 1.2197 2022/06/28 18:58:18 - mmengine - INFO - Epoch(train) [87][920/3757] lr: 1.000e-04 eta: 3:48:29 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 9.6433 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7938 loss: 0.7938 2022/06/28 18:58:24 - mmengine - INFO - Epoch(train) [87][940/3757] lr: 1.000e-04 eta: 3:48:24 time: 0.202 data_time: 0.017 memory: 5148 grad_norm: 8.8503 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1459 loss: 1.1459 2022/06/28 18:58:29 - mmengine - INFO - Epoch(train) [87][960/3757] lr: 1.000e-04 eta: 3:48:18 time: 0.684 data_time: 0.010 memory: 5148 grad_norm: 8.9305 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0403 loss: 1.0403 2022/06/28 18:58:34 - mmengine - INFO - Epoch(train) [87][980/3757] lr: 1.000e-04 eta: 3:48:13 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 7.8279 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3004 loss: 1.3004 2022/06/28 18:58:40 - mmengine - INFO - Epoch(train) [87][1000/3757] lr: 1.000e-04 eta: 3:48:08 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 8.0911 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0191 loss: 1.0191 2022/06/28 18:58:45 - mmengine - INFO - Epoch(train) [87][1020/3757] lr: 1.000e-04 eta: 3:48:02 time: 0.647 data_time: 0.021 memory: 5148 grad_norm: 9.5682 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5553 loss: 1.5553 2022/06/28 18:58:50 - mmengine - INFO - Epoch(train) [87][1040/3757] lr: 1.000e-04 eta: 3:47:57 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 8.5422 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1185 loss: 1.1185 2022/06/28 18:58:55 - mmengine - INFO - Epoch(train) [87][1060/3757] lr: 1.000e-04 eta: 3:47:52 time: 0.335 data_time: 0.007 memory: 5148 grad_norm: 9.4577 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1527 loss: 1.1527 2022/06/28 18:59:01 - mmengine - INFO - Epoch(train) [87][1080/3757] lr: 1.000e-04 eta: 3:47:46 time: 0.218 data_time: 0.016 memory: 5148 grad_norm: 10.5423 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2317 loss: 1.2317 2022/06/28 18:59:06 - mmengine - INFO - Epoch(train) [87][1100/3757] lr: 1.000e-04 eta: 3:47:41 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 8.4474 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4102 loss: 1.4102 2022/06/28 18:59:11 - mmengine - INFO - Epoch(train) [87][1120/3757] lr: 1.000e-04 eta: 3:47:36 time: 0.217 data_time: 0.014 memory: 5148 grad_norm: 10.0262 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3435 loss: 1.3435 2022/06/28 18:59:17 - mmengine - INFO - Epoch(train) [87][1140/3757] lr: 1.000e-04 eta: 3:47:30 time: 0.230 data_time: 0.032 memory: 5148 grad_norm: 7.8796 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0124 loss: 1.0124 2022/06/28 18:59:22 - mmengine - INFO - Epoch(train) [87][1160/3757] lr: 1.000e-04 eta: 3:47:25 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 8.8667 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8117 loss: 0.8117 2022/06/28 18:59:28 - mmengine - INFO - Epoch(train) [87][1180/3757] lr: 1.000e-04 eta: 3:47:20 time: 0.591 data_time: 0.007 memory: 5148 grad_norm: 8.1263 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0420 loss: 1.0420 2022/06/28 18:59:33 - mmengine - INFO - Epoch(train) [87][1200/3757] lr: 1.000e-04 eta: 3:47:15 time: 0.216 data_time: 0.015 memory: 5148 grad_norm: 9.0321 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.4022 loss: 1.4022 2022/06/28 18:59:38 - mmengine - INFO - Epoch(train) [87][1220/3757] lr: 1.000e-04 eta: 3:47:09 time: 0.212 data_time: 0.010 memory: 5148 grad_norm: 8.7934 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1269 loss: 1.1269 2022/06/28 18:59:44 - mmengine - INFO - Epoch(train) [87][1240/3757] lr: 1.000e-04 eta: 3:47:04 time: 1.239 data_time: 0.007 memory: 5148 grad_norm: 9.8528 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0418 loss: 1.0418 2022/06/28 18:59:49 - mmengine - INFO - Epoch(train) [87][1260/3757] lr: 1.000e-04 eta: 3:46:59 time: 0.203 data_time: 0.012 memory: 5148 grad_norm: 9.2153 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0668 loss: 1.0668 2022/06/28 18:59:54 - mmengine - INFO - Epoch(train) [87][1280/3757] lr: 1.000e-04 eta: 3:46:53 time: 0.203 data_time: 0.015 memory: 5148 grad_norm: 8.5080 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3507 loss: 1.3507 2022/06/28 18:59:59 - mmengine - INFO - Epoch(train) [87][1300/3757] lr: 1.000e-04 eta: 3:46:48 time: 0.976 data_time: 0.007 memory: 5148 grad_norm: 6.7974 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1650 loss: 1.1650 2022/06/28 19:00:05 - mmengine - INFO - Epoch(train) [87][1320/3757] lr: 1.000e-04 eta: 3:46:43 time: 0.220 data_time: 0.010 memory: 5148 grad_norm: 10.7227 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7065 loss: 1.7065 2022/06/28 19:00:11 - mmengine - INFO - Epoch(train) [87][1340/3757] lr: 1.000e-04 eta: 3:46:38 time: 0.223 data_time: 0.007 memory: 5148 grad_norm: 9.2016 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1303 loss: 1.1303 2022/06/28 19:00:16 - mmengine - INFO - Epoch(train) [87][1360/3757] lr: 1.000e-04 eta: 3:46:32 time: 0.590 data_time: 0.007 memory: 5148 grad_norm: 9.5375 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3638 loss: 1.3638 2022/06/28 19:00:22 - mmengine - INFO - Epoch(train) [87][1380/3757] lr: 1.000e-04 eta: 3:46:27 time: 0.191 data_time: 0.007 memory: 5148 grad_norm: 7.8425 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8897 loss: 0.8897 2022/06/28 19:00:26 - mmengine - INFO - Epoch(train) [87][1400/3757] lr: 1.000e-04 eta: 3:46:22 time: 0.238 data_time: 0.012 memory: 5148 grad_norm: 11.0241 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3815 loss: 1.3815 2022/06/28 19:00:32 - mmengine - INFO - Epoch(train) [87][1420/3757] lr: 1.000e-04 eta: 3:46:16 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 9.2350 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3257 loss: 1.3257 2022/06/28 19:00:37 - mmengine - INFO - Epoch(train) [87][1440/3757] lr: 1.000e-04 eta: 3:46:11 time: 0.271 data_time: 0.007 memory: 5148 grad_norm: 8.4052 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0395 loss: 1.0395 2022/06/28 19:00:42 - mmengine - INFO - Epoch(train) [87][1460/3757] lr: 1.000e-04 eta: 3:46:06 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 9.4291 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1589 loss: 1.1589 2022/06/28 19:00:48 - mmengine - INFO - Epoch(train) [87][1480/3757] lr: 1.000e-04 eta: 3:46:00 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 9.7601 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1158 loss: 1.1158 2022/06/28 19:00:53 - mmengine - INFO - Epoch(train) [87][1500/3757] lr: 1.000e-04 eta: 3:45:55 time: 0.205 data_time: 0.016 memory: 5148 grad_norm: 8.2172 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5487 loss: 1.5487 2022/06/28 19:00:59 - mmengine - INFO - Epoch(train) [87][1520/3757] lr: 1.000e-04 eta: 3:45:50 time: 0.223 data_time: 0.011 memory: 5148 grad_norm: 9.6989 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9840 loss: 0.9840 2022/06/28 19:01:03 - mmengine - INFO - Epoch(train) [87][1540/3757] lr: 1.000e-04 eta: 3:45:44 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 8.3361 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4891 loss: 1.4891 2022/06/28 19:01:08 - mmengine - INFO - Epoch(train) [87][1560/3757] lr: 1.000e-04 eta: 3:45:39 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 9.0688 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1763 loss: 1.1763 2022/06/28 19:01:14 - mmengine - INFO - Epoch(train) [87][1580/3757] lr: 1.000e-04 eta: 3:45:34 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 8.5562 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2190 loss: 1.2190 2022/06/28 19:01:19 - mmengine - INFO - Epoch(train) [87][1600/3757] lr: 1.000e-04 eta: 3:45:28 time: 0.227 data_time: 0.008 memory: 5148 grad_norm: 9.0595 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2081 loss: 1.2081 2022/06/28 19:01:24 - mmengine - INFO - Epoch(train) [87][1620/3757] lr: 1.000e-04 eta: 3:45:23 time: 0.207 data_time: 0.022 memory: 5148 grad_norm: 9.8612 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2209 loss: 1.2209 2022/06/28 19:01:30 - mmengine - INFO - Epoch(train) [87][1640/3757] lr: 1.000e-04 eta: 3:45:18 time: 0.222 data_time: 0.008 memory: 5148 grad_norm: 8.3489 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1374 loss: 1.1374 2022/06/28 19:01:36 - mmengine - INFO - Epoch(train) [87][1660/3757] lr: 1.000e-04 eta: 3:45:13 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 8.0355 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1796 loss: 1.1796 2022/06/28 19:01:42 - mmengine - INFO - Epoch(train) [87][1680/3757] lr: 1.000e-04 eta: 3:45:07 time: 0.234 data_time: 0.007 memory: 5148 grad_norm: 9.2390 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2696 loss: 1.2696 2022/06/28 19:01:48 - mmengine - INFO - Epoch(train) [87][1700/3757] lr: 1.000e-04 eta: 3:45:02 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 8.7118 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8517 loss: 0.8517 2022/06/28 19:01:52 - mmengine - INFO - Epoch(train) [87][1720/3757] lr: 1.000e-04 eta: 3:44:57 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 10.1399 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0362 loss: 1.0362 2022/06/28 19:02:01 - mmengine - INFO - Epoch(train) [87][1740/3757] lr: 1.000e-04 eta: 3:44:52 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 7.0920 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0442 loss: 1.0442 2022/06/28 19:02:05 - mmengine - INFO - Epoch(train) [87][1760/3757] lr: 1.000e-04 eta: 3:44:47 time: 0.215 data_time: 0.014 memory: 5148 grad_norm: 8.6972 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1892 loss: 1.1892 2022/06/28 19:02:10 - mmengine - INFO - Epoch(train) [87][1780/3757] lr: 1.000e-04 eta: 3:44:41 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 8.5959 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1730 loss: 1.1730 2022/06/28 19:02:15 - mmengine - INFO - Epoch(train) [87][1800/3757] lr: 1.000e-04 eta: 3:44:36 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 9.5959 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1369 loss: 1.1369 2022/06/28 19:02:20 - mmengine - INFO - Epoch(train) [87][1820/3757] lr: 1.000e-04 eta: 3:44:30 time: 0.210 data_time: 0.016 memory: 5148 grad_norm: 11.1217 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3567 loss: 1.3567 2022/06/28 19:02:25 - mmengine - INFO - Epoch(train) [87][1840/3757] lr: 1.000e-04 eta: 3:44:25 time: 0.202 data_time: 0.021 memory: 5148 grad_norm: 9.5367 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0557 loss: 1.0557 2022/06/28 19:02:31 - mmengine - INFO - Epoch(train) [87][1860/3757] lr: 1.000e-04 eta: 3:44:20 time: 0.225 data_time: 0.007 memory: 5148 grad_norm: 7.8280 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3004 loss: 1.3004 2022/06/28 19:02:37 - mmengine - INFO - Epoch(train) [87][1880/3757] lr: 1.000e-04 eta: 3:44:15 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 9.0219 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0141 loss: 1.0141 2022/06/28 19:02:41 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 19:02:42 - mmengine - INFO - Epoch(train) [87][1900/3757] lr: 1.000e-04 eta: 3:44:09 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 9.0897 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8468 loss: 0.8468 2022/06/28 19:02:47 - mmengine - INFO - Epoch(train) [87][1920/3757] lr: 1.000e-04 eta: 3:44:04 time: 0.199 data_time: 0.021 memory: 5148 grad_norm: 8.7253 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2825 loss: 1.2825 2022/06/28 19:02:53 - mmengine - INFO - Epoch(train) [87][1940/3757] lr: 1.000e-04 eta: 3:43:59 time: 0.215 data_time: 0.014 memory: 5148 grad_norm: 9.0429 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0051 loss: 1.0051 2022/06/28 19:03:00 - mmengine - INFO - Epoch(train) [87][1960/3757] lr: 1.000e-04 eta: 3:43:54 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 8.6163 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9668 loss: 0.9668 2022/06/28 19:03:05 - mmengine - INFO - Epoch(train) [87][1980/3757] lr: 1.000e-04 eta: 3:43:48 time: 0.224 data_time: 0.011 memory: 5148 grad_norm: 8.4348 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0889 loss: 1.0889 2022/06/28 19:03:10 - mmengine - INFO - Epoch(train) [87][2000/3757] lr: 1.000e-04 eta: 3:43:43 time: 0.222 data_time: 0.008 memory: 5148 grad_norm: 10.7814 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2497 loss: 1.2497 2022/06/28 19:03:15 - mmengine - INFO - Epoch(train) [87][2020/3757] lr: 1.000e-04 eta: 3:43:38 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 9.7306 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0454 loss: 1.0454 2022/06/28 19:03:20 - mmengine - INFO - Epoch(train) [87][2040/3757] lr: 1.000e-04 eta: 3:43:32 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 9.6440 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0193 loss: 1.0193 2022/06/28 19:03:26 - mmengine - INFO - Epoch(train) [87][2060/3757] lr: 1.000e-04 eta: 3:43:27 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 10.6571 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0546 loss: 1.0546 2022/06/28 19:03:31 - mmengine - INFO - Epoch(train) [87][2080/3757] lr: 1.000e-04 eta: 3:43:22 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 7.9982 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0822 loss: 1.0822 2022/06/28 19:03:37 - mmengine - INFO - Epoch(train) [87][2100/3757] lr: 1.000e-04 eta: 3:43:17 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 8.9010 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2969 loss: 1.2969 2022/06/28 19:03:43 - mmengine - INFO - Epoch(train) [87][2120/3757] lr: 1.000e-04 eta: 3:43:11 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 9.1245 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3677 loss: 1.3677 2022/06/28 19:03:48 - mmengine - INFO - Epoch(train) [87][2140/3757] lr: 1.000e-04 eta: 3:43:06 time: 0.713 data_time: 0.008 memory: 5148 grad_norm: 9.0701 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8455 loss: 1.8455 2022/06/28 19:03:53 - mmengine - INFO - Epoch(train) [87][2160/3757] lr: 1.000e-04 eta: 3:43:01 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 9.2295 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3032 loss: 1.3032 2022/06/28 19:03:58 - mmengine - INFO - Epoch(train) [87][2180/3757] lr: 1.000e-04 eta: 3:42:55 time: 0.214 data_time: 0.037 memory: 5148 grad_norm: 8.2342 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1971 loss: 1.1971 2022/06/28 19:04:04 - mmengine - INFO - Epoch(train) [87][2200/3757] lr: 1.000e-04 eta: 3:42:50 time: 0.312 data_time: 0.007 memory: 5148 grad_norm: 9.4482 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4546 loss: 1.4546 2022/06/28 19:04:09 - mmengine - INFO - Epoch(train) [87][2220/3757] lr: 1.000e-04 eta: 3:42:45 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 8.3651 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1213 loss: 1.1213 2022/06/28 19:04:14 - mmengine - INFO - Epoch(train) [87][2240/3757] lr: 1.000e-04 eta: 3:42:39 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 9.1629 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2229 loss: 1.2229 2022/06/28 19:04:21 - mmengine - INFO - Epoch(train) [87][2260/3757] lr: 1.000e-04 eta: 3:42:34 time: 0.377 data_time: 0.008 memory: 5148 grad_norm: 8.9179 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2166 loss: 1.2166 2022/06/28 19:04:26 - mmengine - INFO - Epoch(train) [87][2280/3757] lr: 1.000e-04 eta: 3:42:29 time: 0.266 data_time: 0.008 memory: 5148 grad_norm: 9.1442 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2324 loss: 1.2324 2022/06/28 19:04:31 - mmengine - INFO - Epoch(train) [87][2300/3757] lr: 1.000e-04 eta: 3:42:24 time: 0.207 data_time: 0.011 memory: 5148 grad_norm: 9.1957 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9505 loss: 0.9505 2022/06/28 19:04:37 - mmengine - INFO - Epoch(train) [87][2320/3757] lr: 1.000e-04 eta: 3:42:18 time: 0.671 data_time: 0.007 memory: 5148 grad_norm: 6.7923 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1669 loss: 1.1669 2022/06/28 19:04:42 - mmengine - INFO - Epoch(train) [87][2340/3757] lr: 1.000e-04 eta: 3:42:13 time: 0.256 data_time: 0.008 memory: 5148 grad_norm: 8.6953 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1508 loss: 1.1508 2022/06/28 19:04:49 - mmengine - INFO - Epoch(train) [87][2360/3757] lr: 1.000e-04 eta: 3:42:08 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 10.2964 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0261 loss: 1.0261 2022/06/28 19:04:53 - mmengine - INFO - Epoch(train) [87][2380/3757] lr: 1.000e-04 eta: 3:42:02 time: 0.204 data_time: 0.017 memory: 5148 grad_norm: 9.5392 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.1002 loss: 1.1002 2022/06/28 19:04:57 - mmengine - INFO - Epoch(train) [87][2400/3757] lr: 1.000e-04 eta: 3:41:57 time: 0.206 data_time: 0.012 memory: 5148 grad_norm: 8.5352 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0992 loss: 1.0992 2022/06/28 19:05:02 - mmengine - INFO - Epoch(train) [87][2420/3757] lr: 1.000e-04 eta: 3:41:52 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 8.4050 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2076 loss: 1.2076 2022/06/28 19:05:08 - mmengine - INFO - Epoch(train) [87][2440/3757] lr: 1.000e-04 eta: 3:41:46 time: 0.461 data_time: 0.007 memory: 5148 grad_norm: 8.5220 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0490 loss: 1.0490 2022/06/28 19:05:14 - mmengine - INFO - Epoch(train) [87][2460/3757] lr: 1.000e-04 eta: 3:41:41 time: 0.208 data_time: 0.014 memory: 5148 grad_norm: 8.3040 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9209 loss: 0.9209 2022/06/28 19:05:19 - mmengine - INFO - Epoch(train) [87][2480/3757] lr: 1.000e-04 eta: 3:41:36 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 8.6715 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0501 loss: 1.0501 2022/06/28 19:05:24 - mmengine - INFO - Epoch(train) [87][2500/3757] lr: 1.000e-04 eta: 3:41:31 time: 0.237 data_time: 0.019 memory: 5148 grad_norm: 11.5154 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1570 loss: 1.1570 2022/06/28 19:05:30 - mmengine - INFO - Epoch(train) [87][2520/3757] lr: 1.000e-04 eta: 3:41:25 time: 0.215 data_time: 0.008 memory: 5148 grad_norm: 7.6911 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0662 loss: 1.0662 2022/06/28 19:05:35 - mmengine - INFO - Epoch(train) [87][2540/3757] lr: 1.000e-04 eta: 3:41:20 time: 0.215 data_time: 0.008 memory: 5148 grad_norm: 8.9877 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3247 loss: 1.3247 2022/06/28 19:05:40 - mmengine - INFO - Epoch(train) [87][2560/3757] lr: 1.000e-04 eta: 3:41:15 time: 0.424 data_time: 0.011 memory: 5148 grad_norm: 8.9961 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8622 loss: 0.8622 2022/06/28 19:05:45 - mmengine - INFO - Epoch(train) [87][2580/3757] lr: 1.000e-04 eta: 3:41:09 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 11.4129 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2750 loss: 1.2750 2022/06/28 19:05:51 - mmengine - INFO - Epoch(train) [87][2600/3757] lr: 1.000e-04 eta: 3:41:04 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 7.9795 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1459 loss: 1.1459 2022/06/28 19:05:56 - mmengine - INFO - Epoch(train) [87][2620/3757] lr: 1.000e-04 eta: 3:40:59 time: 0.223 data_time: 0.010 memory: 5148 grad_norm: 9.9192 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4849 loss: 1.4849 2022/06/28 19:06:02 - mmengine - INFO - Epoch(train) [87][2640/3757] lr: 1.000e-04 eta: 3:40:53 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 7.1953 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7646 loss: 0.7646 2022/06/28 19:06:07 - mmengine - INFO - Epoch(train) [87][2660/3757] lr: 1.000e-04 eta: 3:40:48 time: 0.212 data_time: 0.014 memory: 5148 grad_norm: 8.9149 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2570 loss: 1.2570 2022/06/28 19:06:12 - mmengine - INFO - Epoch(train) [87][2680/3757] lr: 1.000e-04 eta: 3:40:43 time: 0.226 data_time: 0.010 memory: 5148 grad_norm: 7.7746 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0532 loss: 1.0532 2022/06/28 19:06:17 - mmengine - INFO - Epoch(train) [87][2700/3757] lr: 1.000e-04 eta: 3:40:37 time: 0.326 data_time: 0.010 memory: 5148 grad_norm: 10.2708 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8423 loss: 0.8423 2022/06/28 19:06:22 - mmengine - INFO - Epoch(train) [87][2720/3757] lr: 1.000e-04 eta: 3:40:32 time: 0.208 data_time: 0.023 memory: 5148 grad_norm: 9.9825 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1850 loss: 1.1850 2022/06/28 19:06:28 - mmengine - INFO - Epoch(train) [87][2740/3757] lr: 1.000e-04 eta: 3:40:27 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 8.6589 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0582 loss: 1.0582 2022/06/28 19:06:33 - mmengine - INFO - Epoch(train) [87][2760/3757] lr: 1.000e-04 eta: 3:40:22 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 9.6824 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4330 loss: 1.4330 2022/06/28 19:06:39 - mmengine - INFO - Epoch(train) [87][2780/3757] lr: 1.000e-04 eta: 3:40:16 time: 0.206 data_time: 0.024 memory: 5148 grad_norm: 9.3954 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2399 loss: 1.2399 2022/06/28 19:06:47 - mmengine - INFO - Epoch(train) [87][2800/3757] lr: 1.000e-04 eta: 3:40:11 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 9.5979 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0652 loss: 1.0652 2022/06/28 19:06:52 - mmengine - INFO - Epoch(train) [87][2820/3757] lr: 1.000e-04 eta: 3:40:06 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 7.9635 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2682 loss: 1.2682 2022/06/28 19:06:57 - mmengine - INFO - Epoch(train) [87][2840/3757] lr: 1.000e-04 eta: 3:40:01 time: 0.220 data_time: 0.013 memory: 5148 grad_norm: 9.0768 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1383 loss: 1.1383 2022/06/28 19:07:03 - mmengine - INFO - Epoch(train) [87][2860/3757] lr: 1.000e-04 eta: 3:39:55 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 9.2244 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2473 loss: 1.2473 2022/06/28 19:07:09 - mmengine - INFO - Epoch(train) [87][2880/3757] lr: 1.000e-04 eta: 3:39:50 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 9.8744 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1396 loss: 1.1396 2022/06/28 19:07:13 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 19:07:13 - mmengine - INFO - Epoch(train) [87][2900/3757] lr: 1.000e-04 eta: 3:39:45 time: 0.201 data_time: 0.014 memory: 5148 grad_norm: 9.6814 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 0.9429 loss: 0.9429 2022/06/28 19:07:18 - mmengine - INFO - Epoch(train) [87][2920/3757] lr: 1.000e-04 eta: 3:39:39 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 9.6017 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8823 loss: 0.8823 2022/06/28 19:07:23 - mmengine - INFO - Epoch(train) [87][2940/3757] lr: 1.000e-04 eta: 3:39:34 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 9.5920 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0452 loss: 1.0452 2022/06/28 19:07:29 - mmengine - INFO - Epoch(train) [87][2960/3757] lr: 1.000e-04 eta: 3:39:29 time: 0.208 data_time: 0.025 memory: 5148 grad_norm: 8.6985 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0552 loss: 1.0552 2022/06/28 19:07:34 - mmengine - INFO - Epoch(train) [87][2980/3757] lr: 1.000e-04 eta: 3:39:23 time: 0.229 data_time: 0.008 memory: 5148 grad_norm: 9.2766 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3340 loss: 1.3340 2022/06/28 19:07:42 - mmengine - INFO - Epoch(train) [87][3000/3757] lr: 1.000e-04 eta: 3:39:19 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 10.6038 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3377 loss: 1.3377 2022/06/28 19:07:47 - mmengine - INFO - Epoch(train) [87][3020/3757] lr: 1.000e-04 eta: 3:39:13 time: 0.213 data_time: 0.029 memory: 5148 grad_norm: 7.9102 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2486 loss: 1.2486 2022/06/28 19:07:52 - mmengine - INFO - Epoch(train) [87][3040/3757] lr: 1.000e-04 eta: 3:39:08 time: 1.616 data_time: 0.007 memory: 5148 grad_norm: 8.3869 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9968 loss: 0.9968 2022/06/28 19:07:58 - mmengine - INFO - Epoch(train) [87][3060/3757] lr: 1.000e-04 eta: 3:39:03 time: 0.202 data_time: 0.009 memory: 5148 grad_norm: 8.0190 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2110 loss: 1.2110 2022/06/28 19:08:03 - mmengine - INFO - Epoch(train) [87][3080/3757] lr: 1.000e-04 eta: 3:38:57 time: 0.204 data_time: 0.017 memory: 5148 grad_norm: 11.1744 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9872 loss: 0.9872 2022/06/28 19:08:07 - mmengine - INFO - Epoch(train) [87][3100/3757] lr: 1.000e-04 eta: 3:38:52 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 10.1800 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1747 loss: 1.1747 2022/06/28 19:08:13 - mmengine - INFO - Epoch(train) [87][3120/3757] lr: 1.000e-04 eta: 3:38:47 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 10.2378 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0623 loss: 1.0623 2022/06/28 19:08:18 - mmengine - INFO - Epoch(train) [87][3140/3757] lr: 1.000e-04 eta: 3:38:41 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 9.4697 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1539 loss: 1.1539 2022/06/28 19:08:23 - mmengine - INFO - Epoch(train) [87][3160/3757] lr: 1.000e-04 eta: 3:38:36 time: 0.219 data_time: 0.007 memory: 5148 grad_norm: 9.6506 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1044 loss: 1.1044 2022/06/28 19:08:29 - mmengine - INFO - Epoch(train) [87][3180/3757] lr: 1.000e-04 eta: 3:38:31 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 8.9702 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2687 loss: 1.2687 2022/06/28 19:08:33 - mmengine - INFO - Epoch(train) [87][3200/3757] lr: 1.000e-04 eta: 3:38:25 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 9.4799 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9853 loss: 0.9853 2022/06/28 19:08:39 - mmengine - INFO - Epoch(train) [87][3220/3757] lr: 1.000e-04 eta: 3:38:20 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 7.8363 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9015 loss: 0.9015 2022/06/28 19:08:44 - mmengine - INFO - Epoch(train) [87][3240/3757] lr: 1.000e-04 eta: 3:38:15 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 8.3965 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1237 loss: 1.1237 2022/06/28 19:08:50 - mmengine - INFO - Epoch(train) [87][3260/3757] lr: 1.000e-04 eta: 3:38:09 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 8.8344 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9593 loss: 0.9593 2022/06/28 19:08:56 - mmengine - INFO - Epoch(train) [87][3280/3757] lr: 1.000e-04 eta: 3:38:04 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 8.9793 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2443 loss: 1.2443 2022/06/28 19:09:01 - mmengine - INFO - Epoch(train) [87][3300/3757] lr: 1.000e-04 eta: 3:37:59 time: 0.229 data_time: 0.008 memory: 5148 grad_norm: 9.8292 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1732 loss: 1.1732 2022/06/28 19:09:06 - mmengine - INFO - Epoch(train) [87][3320/3757] lr: 1.000e-04 eta: 3:37:53 time: 0.203 data_time: 0.009 memory: 5148 grad_norm: 7.3525 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2454 loss: 1.2454 2022/06/28 19:09:11 - mmengine - INFO - Epoch(train) [87][3340/3757] lr: 1.000e-04 eta: 3:37:48 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 10.3309 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2162 loss: 1.2162 2022/06/28 19:09:18 - mmengine - INFO - Epoch(train) [87][3360/3757] lr: 1.000e-04 eta: 3:37:43 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 9.0420 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5166 loss: 1.5166 2022/06/28 19:09:22 - mmengine - INFO - Epoch(train) [87][3380/3757] lr: 1.000e-04 eta: 3:37:38 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 9.3390 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4415 loss: 1.4415 2022/06/28 19:09:27 - mmengine - INFO - Epoch(train) [87][3400/3757] lr: 1.000e-04 eta: 3:37:32 time: 0.197 data_time: 0.021 memory: 5148 grad_norm: 10.2675 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1460 loss: 1.1460 2022/06/28 19:09:33 - mmengine - INFO - Epoch(train) [87][3420/3757] lr: 1.000e-04 eta: 3:37:27 time: 0.211 data_time: 0.006 memory: 5148 grad_norm: 8.1639 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9449 loss: 0.9449 2022/06/28 19:09:38 - mmengine - INFO - Epoch(train) [87][3440/3757] lr: 1.000e-04 eta: 3:37:22 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 10.2579 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1567 loss: 1.1567 2022/06/28 19:09:43 - mmengine - INFO - Epoch(train) [87][3460/3757] lr: 1.000e-04 eta: 3:37:16 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 8.6693 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1116 loss: 1.1116 2022/06/28 19:09:49 - mmengine - INFO - Epoch(train) [87][3480/3757] lr: 1.000e-04 eta: 3:37:11 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 9.9961 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2789 loss: 1.2789 2022/06/28 19:09:54 - mmengine - INFO - Epoch(train) [87][3500/3757] lr: 1.000e-04 eta: 3:37:06 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 8.3213 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2770 loss: 1.2770 2022/06/28 19:10:00 - mmengine - INFO - Epoch(train) [87][3520/3757] lr: 1.000e-04 eta: 3:37:01 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 8.3202 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8902 loss: 0.8902 2022/06/28 19:10:05 - mmengine - INFO - Epoch(train) [87][3540/3757] lr: 1.000e-04 eta: 3:36:55 time: 0.213 data_time: 0.014 memory: 5148 grad_norm: 8.4095 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2230 loss: 1.2230 2022/06/28 19:10:10 - mmengine - INFO - Epoch(train) [87][3560/3757] lr: 1.000e-04 eta: 3:36:50 time: 0.362 data_time: 0.007 memory: 5148 grad_norm: 9.7302 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9577 loss: 0.9577 2022/06/28 19:10:15 - mmengine - INFO - Epoch(train) [87][3580/3757] lr: 1.000e-04 eta: 3:36:45 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 11.3714 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9834 loss: 0.9834 2022/06/28 19:10:22 - mmengine - INFO - Epoch(train) [87][3600/3757] lr: 1.000e-04 eta: 3:36:39 time: 0.210 data_time: 0.033 memory: 5148 grad_norm: 10.0150 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8509 loss: 0.8509 2022/06/28 19:10:26 - mmengine - INFO - Epoch(train) [87][3620/3757] lr: 1.000e-04 eta: 3:36:34 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 10.1951 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0560 loss: 1.0560 2022/06/28 19:10:32 - mmengine - INFO - Epoch(train) [87][3640/3757] lr: 1.000e-04 eta: 3:36:29 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 8.4228 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8627 loss: 0.8627 2022/06/28 19:10:37 - mmengine - INFO - Epoch(train) [87][3660/3757] lr: 1.000e-04 eta: 3:36:23 time: 0.503 data_time: 0.320 memory: 5148 grad_norm: 8.8046 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2855 loss: 1.2855 2022/06/28 19:10:42 - mmengine - INFO - Epoch(train) [87][3680/3757] lr: 1.000e-04 eta: 3:36:18 time: 0.191 data_time: 0.011 memory: 5148 grad_norm: 9.3573 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.1138 loss: 1.1138 2022/06/28 19:10:47 - mmengine - INFO - Epoch(train) [87][3700/3757] lr: 1.000e-04 eta: 3:36:13 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 9.1432 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9463 loss: 0.9463 2022/06/28 19:10:53 - mmengine - INFO - Epoch(train) [87][3720/3757] lr: 1.000e-04 eta: 3:36:07 time: 0.214 data_time: 0.026 memory: 5148 grad_norm: 10.3600 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0365 loss: 1.0365 2022/06/28 19:10:58 - mmengine - INFO - Epoch(train) [87][3740/3757] lr: 1.000e-04 eta: 3:36:02 time: 0.221 data_time: 0.011 memory: 5148 grad_norm: 9.3006 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7902 loss: 0.7902 2022/06/28 19:11:01 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 19:11:08 - mmengine - INFO - Epoch(val) [87][20/310] eta: 0:01:12 time: 0.265 data_time: 0.193 memory: 5148 2022/06/28 19:11:13 - mmengine - INFO - Epoch(val) [87][40/310] eta: 0:01:01 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 19:11:18 - mmengine - INFO - Epoch(val) [87][60/310] eta: 0:01:00 time: 0.085 data_time: 0.008 memory: 1367 2022/06/28 19:11:23 - mmengine - INFO - Epoch(val) [87][80/310] eta: 0:00:55 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 19:11:29 - mmengine - INFO - Epoch(val) [87][100/310] eta: 0:00:55 time: 0.077 data_time: 0.006 memory: 1367 2022/06/28 19:11:33 - mmengine - INFO - Epoch(val) [87][120/310] eta: 0:00:46 time: 0.080 data_time: 0.008 memory: 1367 2022/06/28 19:11:40 - mmengine - INFO - Epoch(val) [87][140/310] eta: 0:00:59 time: 0.360 data_time: 0.282 memory: 1367 2022/06/28 19:11:44 - mmengine - INFO - Epoch(val) [87][160/310] eta: 0:00:34 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 19:11:50 - mmengine - INFO - Epoch(val) [87][180/310] eta: 0:00:46 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 19:11:55 - mmengine - INFO - Epoch(val) [87][200/310] eta: 0:00:29 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 19:12:00 - mmengine - INFO - Epoch(val) [87][220/310] eta: 0:00:33 time: 0.084 data_time: 0.004 memory: 1367 2022/06/28 19:12:05 - mmengine - INFO - Epoch(val) [87][240/310] eta: 0:00:14 time: 0.077 data_time: 0.004 memory: 1367 2022/06/28 19:12:11 - mmengine - INFO - Epoch(val) [87][260/310] eta: 0:00:18 time: 0.641 data_time: 0.565 memory: 1367 2022/06/28 19:12:15 - mmengine - INFO - Epoch(val) [87][280/310] eta: 0:00:05 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 19:12:21 - mmengine - INFO - Epoch(val) [87][300/310] eta: 0:00:03 time: 1.163 data_time: 1.090 memory: 1367 2022/06/28 19:12:25 - mmengine - INFO - Epoch(val) [87][310/310] acc/top1: 0.6619 acc/top5: 0.8630 acc/mean1: 0.6618 2022/06/28 19:12:35 - mmengine - INFO - Epoch(train) [88][20/3757] lr: 1.000e-04 eta: 3:35:52 time: 0.208 data_time: 0.006 memory: 5148 grad_norm: 9.6877 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3438 loss: 1.3438 2022/06/28 19:12:41 - mmengine - INFO - Epoch(train) [88][40/3757] lr: 1.000e-04 eta: 3:35:47 time: 0.218 data_time: 0.012 memory: 5148 grad_norm: 8.6230 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9737 loss: 0.9737 2022/06/28 19:12:45 - mmengine - INFO - Epoch(train) [88][60/3757] lr: 1.000e-04 eta: 3:35:42 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 7.3652 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2694 loss: 1.2694 2022/06/28 19:12:50 - mmengine - INFO - Epoch(train) [88][80/3757] lr: 1.000e-04 eta: 3:35:36 time: 0.207 data_time: 0.011 memory: 5148 grad_norm: 8.0278 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4218 loss: 1.4218 2022/06/28 19:12:57 - mmengine - INFO - Epoch(train) [88][100/3757] lr: 1.000e-04 eta: 3:35:31 time: 0.201 data_time: 0.009 memory: 5148 grad_norm: 9.2990 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7253 loss: 1.7253 2022/06/28 19:13:03 - mmengine - INFO - Epoch(train) [88][120/3757] lr: 1.000e-04 eta: 3:35:26 time: 0.199 data_time: 0.009 memory: 5148 grad_norm: 8.9317 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2997 loss: 1.2997 2022/06/28 19:13:07 - mmengine - INFO - Epoch(train) [88][140/3757] lr: 1.000e-04 eta: 3:35:21 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 10.2241 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8589 loss: 0.8589 2022/06/28 19:13:08 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 19:13:13 - mmengine - INFO - Epoch(train) [88][160/3757] lr: 1.000e-04 eta: 3:35:15 time: 0.241 data_time: 0.009 memory: 5148 grad_norm: 8.1337 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8728 loss: 0.8728 2022/06/28 19:13:17 - mmengine - INFO - Epoch(train) [88][180/3757] lr: 1.000e-04 eta: 3:35:10 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 8.4761 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1342 loss: 1.1342 2022/06/28 19:13:23 - mmengine - INFO - Epoch(train) [88][200/3757] lr: 1.000e-04 eta: 3:35:05 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 9.1478 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3517 loss: 1.3517 2022/06/28 19:13:28 - mmengine - INFO - Epoch(train) [88][220/3757] lr: 1.000e-04 eta: 3:34:59 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 9.2661 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2803 loss: 1.2803 2022/06/28 19:13:34 - mmengine - INFO - Epoch(train) [88][240/3757] lr: 1.000e-04 eta: 3:34:54 time: 0.193 data_time: 0.007 memory: 5148 grad_norm: 8.8835 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5865 loss: 1.5865 2022/06/28 19:13:39 - mmengine - INFO - Epoch(train) [88][260/3757] lr: 1.000e-04 eta: 3:34:49 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 9.2746 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3543 loss: 1.3543 2022/06/28 19:13:44 - mmengine - INFO - Epoch(train) [88][280/3757] lr: 1.000e-04 eta: 3:34:43 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 7.6720 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8228 loss: 0.8228 2022/06/28 19:13:49 - mmengine - INFO - Epoch(train) [88][300/3757] lr: 1.000e-04 eta: 3:34:38 time: 0.217 data_time: 0.018 memory: 5148 grad_norm: 10.8766 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5885 loss: 1.5885 2022/06/28 19:13:55 - mmengine - INFO - Epoch(train) [88][320/3757] lr: 1.000e-04 eta: 3:34:33 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 9.1442 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3901 loss: 1.3901 2022/06/28 19:14:00 - mmengine - INFO - Epoch(train) [88][340/3757] lr: 1.000e-04 eta: 3:34:28 time: 0.253 data_time: 0.012 memory: 5148 grad_norm: 9.1516 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2452 loss: 1.2452 2022/06/28 19:14:06 - mmengine - INFO - Epoch(train) [88][360/3757] lr: 1.000e-04 eta: 3:34:22 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 7.8953 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1766 loss: 1.1766 2022/06/28 19:14:11 - mmengine - INFO - Epoch(train) [88][380/3757] lr: 1.000e-04 eta: 3:34:17 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 8.9245 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7029 loss: 0.7029 2022/06/28 19:14:16 - mmengine - INFO - Epoch(train) [88][400/3757] lr: 1.000e-04 eta: 3:34:12 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 8.7441 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0987 loss: 1.0987 2022/06/28 19:14:21 - mmengine - INFO - Epoch(train) [88][420/3757] lr: 1.000e-04 eta: 3:34:06 time: 0.206 data_time: 0.017 memory: 5148 grad_norm: 8.5456 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3855 loss: 1.3855 2022/06/28 19:14:27 - mmengine - INFO - Epoch(train) [88][440/3757] lr: 1.000e-04 eta: 3:34:01 time: 0.203 data_time: 0.013 memory: 5148 grad_norm: 8.4327 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2587 loss: 1.2587 2022/06/28 19:14:33 - mmengine - INFO - Epoch(train) [88][460/3757] lr: 1.000e-04 eta: 3:33:56 time: 0.225 data_time: 0.016 memory: 5148 grad_norm: 10.0419 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1235 loss: 1.1235 2022/06/28 19:14:37 - mmengine - INFO - Epoch(train) [88][480/3757] lr: 1.000e-04 eta: 3:33:50 time: 0.227 data_time: 0.045 memory: 5148 grad_norm: 8.4444 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1437 loss: 1.1437 2022/06/28 19:14:42 - mmengine - INFO - Epoch(train) [88][500/3757] lr: 1.000e-04 eta: 3:33:45 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 8.5900 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1285 loss: 1.1285 2022/06/28 19:14:47 - mmengine - INFO - Epoch(train) [88][520/3757] lr: 1.000e-04 eta: 3:33:40 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 11.1753 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0745 loss: 1.0745 2022/06/28 19:14:53 - mmengine - INFO - Epoch(train) [88][540/3757] lr: 1.000e-04 eta: 3:33:34 time: 0.672 data_time: 0.008 memory: 5148 grad_norm: 9.0001 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1738 loss: 1.1738 2022/06/28 19:14:58 - mmengine - INFO - Epoch(train) [88][560/3757] lr: 1.000e-04 eta: 3:33:29 time: 0.207 data_time: 0.006 memory: 5148 grad_norm: 9.0907 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9682 loss: 0.9682 2022/06/28 19:15:05 - mmengine - INFO - Epoch(train) [88][580/3757] lr: 1.000e-04 eta: 3:33:24 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 8.1764 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1052 loss: 1.1052 2022/06/28 19:15:10 - mmengine - INFO - Epoch(train) [88][600/3757] lr: 1.000e-04 eta: 3:33:19 time: 0.225 data_time: 0.007 memory: 5148 grad_norm: 9.0638 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9590 loss: 0.9590 2022/06/28 19:15:15 - mmengine - INFO - Epoch(train) [88][620/3757] lr: 1.000e-04 eta: 3:33:13 time: 0.207 data_time: 0.011 memory: 5148 grad_norm: 10.2852 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.2372 loss: 1.2372 2022/06/28 19:15:21 - mmengine - INFO - Epoch(train) [88][640/3757] lr: 1.000e-04 eta: 3:33:08 time: 0.205 data_time: 0.018 memory: 5148 grad_norm: 10.0938 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2611 loss: 1.2611 2022/06/28 19:15:26 - mmengine - INFO - Epoch(train) [88][660/3757] lr: 1.000e-04 eta: 3:33:03 time: 0.640 data_time: 0.008 memory: 5148 grad_norm: 10.7863 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9781 loss: 0.9781 2022/06/28 19:15:31 - mmengine - INFO - Epoch(train) [88][680/3757] lr: 1.000e-04 eta: 3:32:57 time: 0.244 data_time: 0.007 memory: 5148 grad_norm: 8.8219 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1072 loss: 1.1072 2022/06/28 19:15:37 - mmengine - INFO - Epoch(train) [88][700/3757] lr: 1.000e-04 eta: 3:32:52 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 10.1886 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2981 loss: 1.2981 2022/06/28 19:15:41 - mmengine - INFO - Epoch(train) [88][720/3757] lr: 1.000e-04 eta: 3:32:47 time: 0.328 data_time: 0.008 memory: 5148 grad_norm: 9.2214 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3804 loss: 1.3804 2022/06/28 19:15:47 - mmengine - INFO - Epoch(train) [88][740/3757] lr: 1.000e-04 eta: 3:32:41 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 10.0199 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1630 loss: 1.1630 2022/06/28 19:15:52 - mmengine - INFO - Epoch(train) [88][760/3757] lr: 1.000e-04 eta: 3:32:36 time: 0.221 data_time: 0.007 memory: 5148 grad_norm: 7.3567 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9579 loss: 0.9579 2022/06/28 19:15:57 - mmengine - INFO - Epoch(train) [88][780/3757] lr: 1.000e-04 eta: 3:32:31 time: 0.302 data_time: 0.007 memory: 5148 grad_norm: 11.4824 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.1166 loss: 1.1166 2022/06/28 19:16:05 - mmengine - INFO - Epoch(train) [88][800/3757] lr: 1.000e-04 eta: 3:32:26 time: 0.219 data_time: 0.006 memory: 5148 grad_norm: 7.6048 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2662 loss: 1.2662 2022/06/28 19:16:10 - mmengine - INFO - Epoch(train) [88][820/3757] lr: 1.000e-04 eta: 3:32:20 time: 0.216 data_time: 0.010 memory: 5148 grad_norm: 10.3372 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4696 loss: 1.4696 2022/06/28 19:16:14 - mmengine - INFO - Epoch(train) [88][840/3757] lr: 1.000e-04 eta: 3:32:15 time: 0.200 data_time: 0.016 memory: 5148 grad_norm: 9.7886 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0333 loss: 1.0333 2022/06/28 19:16:19 - mmengine - INFO - Epoch(train) [88][860/3757] lr: 1.000e-04 eta: 3:32:10 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 9.9581 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9703 loss: 0.9703 2022/06/28 19:16:24 - mmengine - INFO - Epoch(train) [88][880/3757] lr: 1.000e-04 eta: 3:32:04 time: 0.508 data_time: 0.011 memory: 5148 grad_norm: 7.6740 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2754 loss: 1.2754 2022/06/28 19:16:30 - mmengine - INFO - Epoch(train) [88][900/3757] lr: 1.000e-04 eta: 3:31:59 time: 0.212 data_time: 0.013 memory: 5148 grad_norm: 7.9160 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4937 loss: 1.4937 2022/06/28 19:16:37 - mmengine - INFO - Epoch(train) [88][920/3757] lr: 1.000e-04 eta: 3:31:54 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 9.7165 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8942 loss: 0.8942 2022/06/28 19:16:41 - mmengine - INFO - Epoch(train) [88][940/3757] lr: 1.000e-04 eta: 3:31:49 time: 0.679 data_time: 0.025 memory: 5148 grad_norm: 9.5517 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3305 loss: 1.3305 2022/06/28 19:16:46 - mmengine - INFO - Epoch(train) [88][960/3757] lr: 1.000e-04 eta: 3:31:43 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 8.0506 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2344 loss: 1.2344 2022/06/28 19:16:52 - mmengine - INFO - Epoch(train) [88][980/3757] lr: 1.000e-04 eta: 3:31:38 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 8.5228 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3421 loss: 1.3421 2022/06/28 19:16:57 - mmengine - INFO - Epoch(train) [88][1000/3757] lr: 1.000e-04 eta: 3:31:33 time: 0.925 data_time: 0.029 memory: 5148 grad_norm: 8.8979 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3094 loss: 1.3094 2022/06/28 19:17:02 - mmengine - INFO - Epoch(train) [88][1020/3757] lr: 1.000e-04 eta: 3:31:27 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 9.5925 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9406 loss: 0.9406 2022/06/28 19:17:08 - mmengine - INFO - Epoch(train) [88][1040/3757] lr: 1.000e-04 eta: 3:31:22 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 8.9149 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8925 loss: 0.8925 2022/06/28 19:17:13 - mmengine - INFO - Epoch(train) [88][1060/3757] lr: 1.000e-04 eta: 3:31:17 time: 0.661 data_time: 0.478 memory: 5148 grad_norm: 9.9479 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9803 loss: 0.9803 2022/06/28 19:17:18 - mmengine - INFO - Epoch(train) [88][1080/3757] lr: 1.000e-04 eta: 3:31:11 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 9.7748 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9453 loss: 0.9453 2022/06/28 19:17:24 - mmengine - INFO - Epoch(train) [88][1100/3757] lr: 1.000e-04 eta: 3:31:06 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 9.4515 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.2594 loss: 1.2594 2022/06/28 19:17:29 - mmengine - INFO - Epoch(train) [88][1120/3757] lr: 1.000e-04 eta: 3:31:01 time: 0.567 data_time: 0.364 memory: 5148 grad_norm: 7.8588 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1554 loss: 1.1554 2022/06/28 19:17:34 - mmengine - INFO - Epoch(train) [88][1140/3757] lr: 1.000e-04 eta: 3:30:55 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 7.3528 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3465 loss: 1.3465 2022/06/28 19:17:34 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 19:17:41 - mmengine - INFO - Epoch(train) [88][1160/3757] lr: 1.000e-04 eta: 3:30:50 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 10.4687 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2397 loss: 1.2397 2022/06/28 19:17:45 - mmengine - INFO - Epoch(train) [88][1180/3757] lr: 1.000e-04 eta: 3:30:45 time: 0.212 data_time: 0.016 memory: 5148 grad_norm: 10.7271 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0194 loss: 1.0194 2022/06/28 19:17:50 - mmengine - INFO - Epoch(train) [88][1200/3757] lr: 1.000e-04 eta: 3:30:40 time: 0.207 data_time: 0.011 memory: 5148 grad_norm: 8.6713 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8753 loss: 0.8753 2022/06/28 19:17:56 - mmengine - INFO - Epoch(train) [88][1220/3757] lr: 1.000e-04 eta: 3:30:34 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 9.8311 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7738 loss: 0.7738 2022/06/28 19:18:02 - mmengine - INFO - Epoch(train) [88][1240/3757] lr: 1.000e-04 eta: 3:30:29 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 8.2282 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6908 loss: 0.6908 2022/06/28 19:18:06 - mmengine - INFO - Epoch(train) [88][1260/3757] lr: 1.000e-04 eta: 3:30:24 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 9.4159 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1660 loss: 1.1660 2022/06/28 19:18:11 - mmengine - INFO - Epoch(train) [88][1280/3757] lr: 1.000e-04 eta: 3:30:18 time: 0.208 data_time: 0.020 memory: 5148 grad_norm: 9.0145 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 0.9895 loss: 0.9895 2022/06/28 19:18:16 - mmengine - INFO - Epoch(train) [88][1300/3757] lr: 1.000e-04 eta: 3:30:13 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 8.5987 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4150 loss: 1.4150 2022/06/28 19:18:22 - mmengine - INFO - Epoch(train) [88][1320/3757] lr: 1.000e-04 eta: 3:30:08 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 9.4136 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9280 loss: 0.9280 2022/06/28 19:18:29 - mmengine - INFO - Epoch(train) [88][1340/3757] lr: 1.000e-04 eta: 3:30:03 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 8.8677 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4924 loss: 1.4924 2022/06/28 19:18:33 - mmengine - INFO - Epoch(train) [88][1360/3757] lr: 1.000e-04 eta: 3:29:57 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 7.5441 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1021 loss: 1.1021 2022/06/28 19:18:39 - mmengine - INFO - Epoch(train) [88][1380/3757] lr: 1.000e-04 eta: 3:29:52 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 9.1988 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1358 loss: 1.1358 2022/06/28 19:18:44 - mmengine - INFO - Epoch(train) [88][1400/3757] lr: 1.000e-04 eta: 3:29:47 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 9.3260 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9411 loss: 0.9411 2022/06/28 19:18:48 - mmengine - INFO - Epoch(train) [88][1420/3757] lr: 1.000e-04 eta: 3:29:41 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 8.5863 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3526 loss: 1.3526 2022/06/28 19:18:54 - mmengine - INFO - Epoch(train) [88][1440/3757] lr: 1.000e-04 eta: 3:29:36 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 9.4385 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5254 loss: 1.5254 2022/06/28 19:18:59 - mmengine - INFO - Epoch(train) [88][1460/3757] lr: 1.000e-04 eta: 3:29:31 time: 0.200 data_time: 0.021 memory: 5148 grad_norm: 8.9281 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3944 loss: 1.3944 2022/06/28 19:19:05 - mmengine - INFO - Epoch(train) [88][1480/3757] lr: 1.000e-04 eta: 3:29:25 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 8.7092 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1613 loss: 1.1613 2022/06/28 19:19:10 - mmengine - INFO - Epoch(train) [88][1500/3757] lr: 1.000e-04 eta: 3:29:20 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 9.7392 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5561 loss: 1.5561 2022/06/28 19:19:15 - mmengine - INFO - Epoch(train) [88][1520/3757] lr: 1.000e-04 eta: 3:29:15 time: 0.276 data_time: 0.008 memory: 5148 grad_norm: 10.6993 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2097 loss: 1.2097 2022/06/28 19:19:21 - mmengine - INFO - Epoch(train) [88][1540/3757] lr: 1.000e-04 eta: 3:29:09 time: 1.307 data_time: 0.006 memory: 5148 grad_norm: 10.0255 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1691 loss: 1.1691 2022/06/28 19:19:26 - mmengine - INFO - Epoch(train) [88][1560/3757] lr: 1.000e-04 eta: 3:29:04 time: 0.218 data_time: 0.010 memory: 5148 grad_norm: 9.9347 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1696 loss: 1.1696 2022/06/28 19:19:31 - mmengine - INFO - Epoch(train) [88][1580/3757] lr: 1.000e-04 eta: 3:28:59 time: 0.202 data_time: 0.015 memory: 5148 grad_norm: 9.9388 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1492 loss: 1.1492 2022/06/28 19:19:36 - mmengine - INFO - Epoch(train) [88][1600/3757] lr: 1.000e-04 eta: 3:28:53 time: 0.628 data_time: 0.010 memory: 5148 grad_norm: 8.9279 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1692 loss: 1.1692 2022/06/28 19:19:41 - mmengine - INFO - Epoch(train) [88][1620/3757] lr: 1.000e-04 eta: 3:28:48 time: 0.218 data_time: 0.017 memory: 5148 grad_norm: 9.2751 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3810 loss: 1.3810 2022/06/28 19:19:46 - mmengine - INFO - Epoch(train) [88][1640/3757] lr: 1.000e-04 eta: 3:28:43 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 8.6486 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2262 loss: 1.2262 2022/06/28 19:19:52 - mmengine - INFO - Epoch(train) [88][1660/3757] lr: 1.000e-04 eta: 3:28:37 time: 1.189 data_time: 0.008 memory: 5148 grad_norm: 9.2280 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8656 loss: 0.8656 2022/06/28 19:19:57 - mmengine - INFO - Epoch(train) [88][1680/3757] lr: 1.000e-04 eta: 3:28:32 time: 0.207 data_time: 0.024 memory: 5148 grad_norm: 9.6187 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2041 loss: 1.2041 2022/06/28 19:20:03 - mmengine - INFO - Epoch(train) [88][1700/3757] lr: 1.000e-04 eta: 3:28:27 time: 0.220 data_time: 0.008 memory: 5148 grad_norm: 8.2009 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2494 loss: 1.2494 2022/06/28 19:20:08 - mmengine - INFO - Epoch(train) [88][1720/3757] lr: 1.000e-04 eta: 3:28:22 time: 0.813 data_time: 0.008 memory: 5148 grad_norm: 10.6471 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4341 loss: 1.4341 2022/06/28 19:20:13 - mmengine - INFO - Epoch(train) [88][1740/3757] lr: 1.000e-04 eta: 3:28:16 time: 0.211 data_time: 0.018 memory: 5148 grad_norm: 9.2562 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2775 loss: 1.2775 2022/06/28 19:20:18 - mmengine - INFO - Epoch(train) [88][1760/3757] lr: 1.000e-04 eta: 3:28:11 time: 0.215 data_time: 0.025 memory: 5148 grad_norm: 9.7533 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1923 loss: 1.1923 2022/06/28 19:20:24 - mmengine - INFO - Epoch(train) [88][1780/3757] lr: 1.000e-04 eta: 3:28:06 time: 0.237 data_time: 0.008 memory: 5148 grad_norm: 9.2080 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2448 loss: 1.2448 2022/06/28 19:20:29 - mmengine - INFO - Epoch(train) [88][1800/3757] lr: 1.000e-04 eta: 3:28:00 time: 0.213 data_time: 0.028 memory: 5148 grad_norm: 9.3961 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9596 loss: 0.9596 2022/06/28 19:20:38 - mmengine - INFO - Epoch(train) [88][1820/3757] lr: 1.000e-04 eta: 3:27:55 time: 0.208 data_time: 0.006 memory: 5148 grad_norm: 7.9496 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3455 loss: 1.3455 2022/06/28 19:20:42 - mmengine - INFO - Epoch(train) [88][1840/3757] lr: 1.000e-04 eta: 3:27:50 time: 0.214 data_time: 0.011 memory: 5148 grad_norm: 8.4575 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0364 loss: 1.0364 2022/06/28 19:20:47 - mmengine - INFO - Epoch(train) [88][1860/3757] lr: 1.000e-04 eta: 3:27:45 time: 0.205 data_time: 0.009 memory: 5148 grad_norm: 9.8491 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3465 loss: 1.3465 2022/06/28 19:20:53 - mmengine - INFO - Epoch(train) [88][1880/3757] lr: 1.000e-04 eta: 3:27:39 time: 0.204 data_time: 0.014 memory: 5148 grad_norm: 10.0598 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2290 loss: 1.2290 2022/06/28 19:20:58 - mmengine - INFO - Epoch(train) [88][1900/3757] lr: 1.000e-04 eta: 3:27:34 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 8.9169 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1798 loss: 1.1798 2022/06/28 19:21:03 - mmengine - INFO - Epoch(train) [88][1920/3757] lr: 1.000e-04 eta: 3:27:29 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 10.2080 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0298 loss: 1.0298 2022/06/28 19:21:08 - mmengine - INFO - Epoch(train) [88][1940/3757] lr: 1.000e-04 eta: 3:27:23 time: 0.198 data_time: 0.014 memory: 5148 grad_norm: 10.5361 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2657 loss: 1.2657 2022/06/28 19:21:13 - mmengine - INFO - Epoch(train) [88][1960/3757] lr: 1.000e-04 eta: 3:27:18 time: 0.204 data_time: 0.017 memory: 5148 grad_norm: 9.8926 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9774 loss: 0.9774 2022/06/28 19:21:19 - mmengine - INFO - Epoch(train) [88][1980/3757] lr: 1.000e-04 eta: 3:27:13 time: 0.196 data_time: 0.006 memory: 5148 grad_norm: 8.6462 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9888 loss: 0.9888 2022/06/28 19:21:25 - mmengine - INFO - Epoch(train) [88][2000/3757] lr: 1.000e-04 eta: 3:27:08 time: 0.208 data_time: 0.006 memory: 5148 grad_norm: 9.3982 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1723 loss: 1.1723 2022/06/28 19:21:30 - mmengine - INFO - Epoch(train) [88][2020/3757] lr: 1.000e-04 eta: 3:27:02 time: 0.222 data_time: 0.007 memory: 5148 grad_norm: 11.7724 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1812 loss: 1.1812 2022/06/28 19:21:35 - mmengine - INFO - Epoch(train) [88][2040/3757] lr: 1.000e-04 eta: 3:26:57 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 8.7975 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0638 loss: 1.0638 2022/06/28 19:21:42 - mmengine - INFO - Epoch(train) [88][2060/3757] lr: 1.000e-04 eta: 3:26:52 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 10.6152 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1162 loss: 1.1162 2022/06/28 19:21:47 - mmengine - INFO - Epoch(train) [88][2080/3757] lr: 1.000e-04 eta: 3:26:46 time: 0.251 data_time: 0.007 memory: 5148 grad_norm: 8.5411 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8767 loss: 0.8767 2022/06/28 19:21:52 - mmengine - INFO - Epoch(train) [88][2100/3757] lr: 1.000e-04 eta: 3:26:41 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 8.9145 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0530 loss: 1.0530 2022/06/28 19:21:56 - mmengine - INFO - Epoch(train) [88][2120/3757] lr: 1.000e-04 eta: 3:26:36 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 8.7720 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2082 loss: 1.2082 2022/06/28 19:22:02 - mmengine - INFO - Epoch(train) [88][2140/3757] lr: 1.000e-04 eta: 3:26:30 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 9.3922 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1273 loss: 1.1273 2022/06/28 19:22:03 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 19:22:07 - mmengine - INFO - Epoch(train) [88][2160/3757] lr: 1.000e-04 eta: 3:26:25 time: 0.231 data_time: 0.008 memory: 5148 grad_norm: 8.6589 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9452 loss: 0.9452 2022/06/28 19:22:13 - mmengine - INFO - Epoch(train) [88][2180/3757] lr: 1.000e-04 eta: 3:26:20 time: 0.222 data_time: 0.007 memory: 5148 grad_norm: 8.7864 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2921 loss: 1.2921 2022/06/28 19:22:18 - mmengine - INFO - Epoch(train) [88][2200/3757] lr: 1.000e-04 eta: 3:26:14 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 10.6340 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.0802 loss: 1.0802 2022/06/28 19:22:24 - mmengine - INFO - Epoch(train) [88][2220/3757] lr: 1.000e-04 eta: 3:26:09 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 8.9787 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2573 loss: 1.2573 2022/06/28 19:22:28 - mmengine - INFO - Epoch(train) [88][2240/3757] lr: 1.000e-04 eta: 3:26:04 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 8.5478 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1115 loss: 1.1115 2022/06/28 19:22:34 - mmengine - INFO - Epoch(train) [88][2260/3757] lr: 1.000e-04 eta: 3:25:58 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 9.6932 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2356 loss: 1.2356 2022/06/28 19:22:39 - mmengine - INFO - Epoch(train) [88][2280/3757] lr: 1.000e-04 eta: 3:25:53 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 9.8894 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1533 loss: 1.1533 2022/06/28 19:22:44 - mmengine - INFO - Epoch(train) [88][2300/3757] lr: 1.000e-04 eta: 3:25:48 time: 0.233 data_time: 0.006 memory: 5148 grad_norm: 8.4471 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4659 loss: 1.4659 2022/06/28 19:22:50 - mmengine - INFO - Epoch(train) [88][2320/3757] lr: 1.000e-04 eta: 3:25:43 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 9.3025 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1311 loss: 1.1311 2022/06/28 19:22:56 - mmengine - INFO - Epoch(train) [88][2340/3757] lr: 1.000e-04 eta: 3:25:37 time: 0.217 data_time: 0.008 memory: 5148 grad_norm: 10.8242 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8597 loss: 0.8597 2022/06/28 19:23:01 - mmengine - INFO - Epoch(train) [88][2360/3757] lr: 1.000e-04 eta: 3:25:32 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 8.8694 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0381 loss: 1.0381 2022/06/28 19:23:06 - mmengine - INFO - Epoch(train) [88][2380/3757] lr: 1.000e-04 eta: 3:25:27 time: 0.213 data_time: 0.009 memory: 5148 grad_norm: 9.2362 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9573 loss: 0.9573 2022/06/28 19:23:12 - mmengine - INFO - Epoch(train) [88][2400/3757] lr: 1.000e-04 eta: 3:25:22 time: 0.206 data_time: 0.013 memory: 5148 grad_norm: 11.7869 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1855 loss: 1.1855 2022/06/28 19:23:17 - mmengine - INFO - Epoch(train) [88][2420/3757] lr: 1.000e-04 eta: 3:25:16 time: 0.204 data_time: 0.012 memory: 5148 grad_norm: 10.0462 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2868 loss: 1.2868 2022/06/28 19:23:23 - mmengine - INFO - Epoch(train) [88][2440/3757] lr: 1.000e-04 eta: 3:25:11 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 10.0703 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4591 loss: 1.4591 2022/06/28 19:23:27 - mmengine - INFO - Epoch(train) [88][2460/3757] lr: 1.000e-04 eta: 3:25:05 time: 0.211 data_time: 0.023 memory: 5148 grad_norm: 8.3831 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.0195 loss: 1.0195 2022/06/28 19:23:32 - mmengine - INFO - Epoch(train) [88][2480/3757] lr: 1.000e-04 eta: 3:25:00 time: 0.210 data_time: 0.011 memory: 5148 grad_norm: 8.9546 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2184 loss: 1.2184 2022/06/28 19:23:37 - mmengine - INFO - Epoch(train) [88][2500/3757] lr: 1.000e-04 eta: 3:24:55 time: 0.194 data_time: 0.011 memory: 5148 grad_norm: 10.7266 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2292 loss: 1.2292 2022/06/28 19:23:44 - mmengine - INFO - Epoch(train) [88][2520/3757] lr: 1.000e-04 eta: 3:24:50 time: 0.210 data_time: 0.013 memory: 5148 grad_norm: 8.9777 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4919 loss: 1.4919 2022/06/28 19:23:50 - mmengine - INFO - Epoch(train) [88][2540/3757] lr: 1.000e-04 eta: 3:24:44 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 8.0331 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0424 loss: 1.0424 2022/06/28 19:23:54 - mmengine - INFO - Epoch(train) [88][2560/3757] lr: 1.000e-04 eta: 3:24:39 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 9.6958 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1313 loss: 1.1313 2022/06/28 19:23:59 - mmengine - INFO - Epoch(train) [88][2580/3757] lr: 1.000e-04 eta: 3:24:34 time: 0.207 data_time: 0.027 memory: 5148 grad_norm: 7.2060 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1321 loss: 1.1321 2022/06/28 19:24:04 - mmengine - INFO - Epoch(train) [88][2600/3757] lr: 1.000e-04 eta: 3:24:28 time: 0.201 data_time: 0.013 memory: 5148 grad_norm: 6.7419 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3269 loss: 1.3269 2022/06/28 19:24:09 - mmengine - INFO - Epoch(train) [88][2620/3757] lr: 1.000e-04 eta: 3:24:23 time: 0.215 data_time: 0.008 memory: 5148 grad_norm: 8.9046 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3749 loss: 1.3749 2022/06/28 19:24:14 - mmengine - INFO - Epoch(train) [88][2640/3757] lr: 1.000e-04 eta: 3:24:18 time: 0.290 data_time: 0.108 memory: 5148 grad_norm: 9.8131 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1761 loss: 1.1761 2022/06/28 19:24:20 - mmengine - INFO - Epoch(train) [88][2660/3757] lr: 1.000e-04 eta: 3:24:12 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 7.7294 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7686 loss: 0.7686 2022/06/28 19:24:25 - mmengine - INFO - Epoch(train) [88][2680/3757] lr: 1.000e-04 eta: 3:24:07 time: 0.835 data_time: 0.011 memory: 5148 grad_norm: 9.5295 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0997 loss: 1.0997 2022/06/28 19:24:31 - mmengine - INFO - Epoch(train) [88][2700/3757] lr: 1.000e-04 eta: 3:24:02 time: 0.201 data_time: 0.012 memory: 5148 grad_norm: 7.2474 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5611 loss: 1.5611 2022/06/28 19:24:36 - mmengine - INFO - Epoch(train) [88][2720/3757] lr: 1.000e-04 eta: 3:23:56 time: 0.216 data_time: 0.008 memory: 5148 grad_norm: 9.9543 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9397 loss: 0.9397 2022/06/28 19:24:41 - mmengine - INFO - Epoch(train) [88][2740/3757] lr: 1.000e-04 eta: 3:23:51 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 8.8005 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8711 loss: 0.8711 2022/06/28 19:24:47 - mmengine - INFO - Epoch(train) [88][2760/3757] lr: 1.000e-04 eta: 3:23:46 time: 0.209 data_time: 0.020 memory: 5148 grad_norm: 8.4517 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9636 loss: 0.9636 2022/06/28 19:24:52 - mmengine - INFO - Epoch(train) [88][2780/3757] lr: 1.000e-04 eta: 3:23:40 time: 0.213 data_time: 0.012 memory: 5148 grad_norm: 9.3411 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1786 loss: 1.1786 2022/06/28 19:24:57 - mmengine - INFO - Epoch(train) [88][2800/3757] lr: 1.000e-04 eta: 3:23:35 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 8.5917 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9389 loss: 0.9389 2022/06/28 19:25:03 - mmengine - INFO - Epoch(train) [88][2820/3757] lr: 1.000e-04 eta: 3:23:30 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 10.7878 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3380 loss: 1.3380 2022/06/28 19:25:08 - mmengine - INFO - Epoch(train) [88][2840/3757] lr: 1.000e-04 eta: 3:23:25 time: 0.204 data_time: 0.013 memory: 5148 grad_norm: 10.6060 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1442 loss: 1.1442 2022/06/28 19:25:13 - mmengine - INFO - Epoch(train) [88][2860/3757] lr: 1.000e-04 eta: 3:23:19 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 7.7280 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3475 loss: 1.3475 2022/06/28 19:25:18 - mmengine - INFO - Epoch(train) [88][2880/3757] lr: 1.000e-04 eta: 3:23:14 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 9.0762 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2581 loss: 1.2581 2022/06/28 19:25:23 - mmengine - INFO - Epoch(train) [88][2900/3757] lr: 1.000e-04 eta: 3:23:09 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 8.7329 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3256 loss: 1.3256 2022/06/28 19:25:29 - mmengine - INFO - Epoch(train) [88][2920/3757] lr: 1.000e-04 eta: 3:23:03 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 8.8588 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5516 loss: 1.5516 2022/06/28 19:25:34 - mmengine - INFO - Epoch(train) [88][2940/3757] lr: 1.000e-04 eta: 3:22:58 time: 0.221 data_time: 0.007 memory: 5148 grad_norm: 9.9015 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2179 loss: 1.2179 2022/06/28 19:25:39 - mmengine - INFO - Epoch(train) [88][2960/3757] lr: 1.000e-04 eta: 3:22:53 time: 0.202 data_time: 0.013 memory: 5148 grad_norm: 7.9596 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9820 loss: 0.9820 2022/06/28 19:25:45 - mmengine - INFO - Epoch(train) [88][2980/3757] lr: 1.000e-04 eta: 3:22:47 time: 0.217 data_time: 0.010 memory: 5148 grad_norm: 10.3635 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8963 loss: 0.8963 2022/06/28 19:25:51 - mmengine - INFO - Epoch(train) [88][3000/3757] lr: 1.000e-04 eta: 3:22:42 time: 0.216 data_time: 0.011 memory: 5148 grad_norm: 9.3439 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0271 loss: 1.0271 2022/06/28 19:25:56 - mmengine - INFO - Epoch(train) [88][3020/3757] lr: 1.000e-04 eta: 3:22:37 time: 0.212 data_time: 0.011 memory: 5148 grad_norm: 9.8839 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2686 loss: 1.2686 2022/06/28 19:26:01 - mmengine - INFO - Epoch(train) [88][3040/3757] lr: 1.000e-04 eta: 3:22:31 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 9.4411 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2308 loss: 1.2308 2022/06/28 19:26:06 - mmengine - INFO - Epoch(train) [88][3060/3757] lr: 1.000e-04 eta: 3:22:26 time: 0.207 data_time: 0.014 memory: 5148 grad_norm: 9.9353 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.0080 loss: 1.0080 2022/06/28 19:26:11 - mmengine - INFO - Epoch(train) [88][3080/3757] lr: 1.000e-04 eta: 3:22:21 time: 0.228 data_time: 0.008 memory: 5148 grad_norm: 9.7674 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 0.9566 loss: 0.9566 2022/06/28 19:26:16 - mmengine - INFO - Epoch(train) [88][3100/3757] lr: 1.000e-04 eta: 3:22:15 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 10.2386 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0685 loss: 1.0685 2022/06/28 19:26:21 - mmengine - INFO - Epoch(train) [88][3120/3757] lr: 1.000e-04 eta: 3:22:10 time: 0.200 data_time: 0.017 memory: 5148 grad_norm: 10.0683 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0286 loss: 1.0286 2022/06/28 19:26:27 - mmengine - INFO - Epoch(train) [88][3140/3757] lr: 1.000e-04 eta: 3:22:05 time: 0.430 data_time: 0.007 memory: 5148 grad_norm: 8.9689 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3937 loss: 1.3937 2022/06/28 19:26:27 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 19:26:32 - mmengine - INFO - Epoch(train) [88][3160/3757] lr: 1.000e-04 eta: 3:22:00 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 7.2056 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9947 loss: 0.9947 2022/06/28 19:26:37 - mmengine - INFO - Epoch(train) [88][3180/3757] lr: 1.000e-04 eta: 3:21:54 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 9.1009 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8252 loss: 0.8252 2022/06/28 19:26:43 - mmengine - INFO - Epoch(train) [88][3200/3757] lr: 1.000e-04 eta: 3:21:49 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 9.0034 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2060 loss: 1.2060 2022/06/28 19:26:49 - mmengine - INFO - Epoch(train) [88][3220/3757] lr: 1.000e-04 eta: 3:21:44 time: 0.237 data_time: 0.010 memory: 5148 grad_norm: 8.7408 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8178 loss: 0.8178 2022/06/28 19:26:55 - mmengine - INFO - Epoch(train) [88][3240/3757] lr: 1.000e-04 eta: 3:21:38 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 8.5055 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7277 loss: 0.7277 2022/06/28 19:26:59 - mmengine - INFO - Epoch(train) [88][3260/3757] lr: 1.000e-04 eta: 3:21:33 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 9.0084 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0581 loss: 1.0581 2022/06/28 19:27:04 - mmengine - INFO - Epoch(train) [88][3280/3757] lr: 1.000e-04 eta: 3:21:28 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 9.1926 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9248 loss: 0.9248 2022/06/28 19:27:10 - mmengine - INFO - Epoch(train) [88][3300/3757] lr: 1.000e-04 eta: 3:21:22 time: 0.207 data_time: 0.025 memory: 5148 grad_norm: 8.4805 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1590 loss: 1.1590 2022/06/28 19:27:14 - mmengine - INFO - Epoch(train) [88][3320/3757] lr: 1.000e-04 eta: 3:21:17 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 8.7419 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2769 loss: 1.2769 2022/06/28 19:27:20 - mmengine - INFO - Epoch(train) [88][3340/3757] lr: 1.000e-04 eta: 3:21:12 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 6.2042 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9778 loss: 0.9778 2022/06/28 19:27:26 - mmengine - INFO - Epoch(train) [88][3360/3757] lr: 1.000e-04 eta: 3:21:06 time: 0.219 data_time: 0.018 memory: 5148 grad_norm: 9.1508 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0805 loss: 1.0805 2022/06/28 19:27:31 - mmengine - INFO - Epoch(train) [88][3380/3757] lr: 1.000e-04 eta: 3:21:01 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 9.0282 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0967 loss: 1.0967 2022/06/28 19:27:36 - mmengine - INFO - Epoch(train) [88][3400/3757] lr: 1.000e-04 eta: 3:20:56 time: 0.210 data_time: 0.011 memory: 5148 grad_norm: 8.4452 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2240 loss: 1.2240 2022/06/28 19:27:42 - mmengine - INFO - Epoch(train) [88][3420/3757] lr: 1.000e-04 eta: 3:20:51 time: 0.776 data_time: 0.025 memory: 5148 grad_norm: 11.1298 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2993 loss: 1.2993 2022/06/28 19:27:47 - mmengine - INFO - Epoch(train) [88][3440/3757] lr: 1.000e-04 eta: 3:20:45 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 9.5369 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1904 loss: 1.1904 2022/06/28 19:27:52 - mmengine - INFO - Epoch(train) [88][3460/3757] lr: 1.000e-04 eta: 3:20:40 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 10.3528 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0383 loss: 1.0383 2022/06/28 19:27:58 - mmengine - INFO - Epoch(train) [88][3480/3757] lr: 1.000e-04 eta: 3:20:35 time: 0.321 data_time: 0.011 memory: 5148 grad_norm: 8.2124 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8091 loss: 0.8091 2022/06/28 19:28:03 - mmengine - INFO - Epoch(train) [88][3500/3757] lr: 1.000e-04 eta: 3:20:29 time: 0.225 data_time: 0.010 memory: 5148 grad_norm: 9.5491 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2060 loss: 1.2060 2022/06/28 19:28:08 - mmengine - INFO - Epoch(train) [88][3520/3757] lr: 1.000e-04 eta: 3:20:24 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 8.2704 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5924 loss: 1.5924 2022/06/28 19:28:14 - mmengine - INFO - Epoch(train) [88][3540/3757] lr: 1.000e-04 eta: 3:20:19 time: 0.218 data_time: 0.011 memory: 5148 grad_norm: 8.4222 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3098 loss: 1.3098 2022/06/28 19:28:19 - mmengine - INFO - Epoch(train) [88][3560/3757] lr: 1.000e-04 eta: 3:20:13 time: 0.204 data_time: 0.012 memory: 5148 grad_norm: 8.3229 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1489 loss: 1.1489 2022/06/28 19:28:24 - mmengine - INFO - Epoch(train) [88][3580/3757] lr: 1.000e-04 eta: 3:20:08 time: 0.216 data_time: 0.008 memory: 5148 grad_norm: 8.0987 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2824 loss: 1.2824 2022/06/28 19:28:29 - mmengine - INFO - Epoch(train) [88][3600/3757] lr: 1.000e-04 eta: 3:20:03 time: 0.197 data_time: 0.016 memory: 5148 grad_norm: 8.9776 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1503 loss: 1.1503 2022/06/28 19:28:35 - mmengine - INFO - Epoch(train) [88][3620/3757] lr: 1.000e-04 eta: 3:19:58 time: 0.218 data_time: 0.021 memory: 5148 grad_norm: 9.8617 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4346 loss: 1.4346 2022/06/28 19:28:40 - mmengine - INFO - Epoch(train) [88][3640/3757] lr: 1.000e-04 eta: 3:19:52 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 8.2865 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2174 loss: 1.2174 2022/06/28 19:28:46 - mmengine - INFO - Epoch(train) [88][3660/3757] lr: 1.000e-04 eta: 3:19:47 time: 0.223 data_time: 0.016 memory: 5148 grad_norm: 10.2442 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2047 loss: 1.2047 2022/06/28 19:28:51 - mmengine - INFO - Epoch(train) [88][3680/3757] lr: 1.000e-04 eta: 3:19:42 time: 0.214 data_time: 0.013 memory: 5148 grad_norm: 8.9873 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1017 loss: 1.1017 2022/06/28 19:28:56 - mmengine - INFO - Epoch(train) [88][3700/3757] lr: 1.000e-04 eta: 3:19:36 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 8.1902 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0533 loss: 1.0533 2022/06/28 19:29:02 - mmengine - INFO - Epoch(train) [88][3720/3757] lr: 1.000e-04 eta: 3:19:31 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 9.4110 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5075 loss: 1.5075 2022/06/28 19:29:07 - mmengine - INFO - Epoch(train) [88][3740/3757] lr: 1.000e-04 eta: 3:19:26 time: 0.201 data_time: 0.014 memory: 5148 grad_norm: 10.5170 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3714 loss: 1.3714 2022/06/28 19:29:13 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 19:29:20 - mmengine - INFO - Epoch(val) [88][20/310] eta: 0:01:12 time: 0.300 data_time: 0.230 memory: 5148 2022/06/28 19:29:24 - mmengine - INFO - Epoch(val) [88][40/310] eta: 0:00:59 time: 0.080 data_time: 0.009 memory: 1367 2022/06/28 19:29:30 - mmengine - INFO - Epoch(val) [88][60/310] eta: 0:00:57 time: 0.078 data_time: 0.006 memory: 1367 2022/06/28 19:29:35 - mmengine - INFO - Epoch(val) [88][80/310] eta: 0:00:54 time: 0.145 data_time: 0.065 memory: 1367 2022/06/28 19:29:41 - mmengine - INFO - Epoch(val) [88][100/310] eta: 0:00:52 time: 0.086 data_time: 0.005 memory: 1367 2022/06/28 19:29:46 - mmengine - INFO - Epoch(val) [88][120/310] eta: 0:00:55 time: 0.512 data_time: 0.440 memory: 1367 2022/06/28 19:29:52 - mmengine - INFO - Epoch(val) [88][140/310] eta: 0:00:50 time: 0.237 data_time: 0.151 memory: 1367 2022/06/28 19:29:57 - mmengine - INFO - Epoch(val) [88][160/310] eta: 0:00:48 time: 1.118 data_time: 1.047 memory: 1367 2022/06/28 19:30:03 - mmengine - INFO - Epoch(val) [88][180/310] eta: 0:00:42 time: 0.729 data_time: 0.659 memory: 1367 2022/06/28 19:30:08 - mmengine - INFO - Epoch(val) [88][200/310] eta: 0:00:30 time: 0.467 data_time: 0.396 memory: 1367 2022/06/28 19:30:13 - mmengine - INFO - Epoch(val) [88][220/310] eta: 0:00:33 time: 0.081 data_time: 0.005 memory: 1367 2022/06/28 19:30:18 - mmengine - INFO - Epoch(val) [88][240/310] eta: 0:00:15 time: 0.131 data_time: 0.055 memory: 1367 2022/06/28 19:30:24 - mmengine - INFO - Epoch(val) [88][260/310] eta: 0:00:18 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 19:30:29 - mmengine - INFO - Epoch(val) [88][280/310] eta: 0:00:07 time: 0.237 data_time: 0.165 memory: 1367 2022/06/28 19:30:34 - mmengine - INFO - Epoch(val) [88][300/310] eta: 0:00:03 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 19:30:38 - mmengine - INFO - Epoch(val) [88][310/310] acc/top1: 0.6608 acc/top5: 0.8628 acc/mean1: 0.6608 2022/06/28 19:30:47 - mmengine - INFO - Epoch(train) [89][20/3757] lr: 1.000e-04 eta: 3:19:16 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 9.3156 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2711 loss: 1.2711 2022/06/28 19:30:52 - mmengine - INFO - Epoch(train) [89][40/3757] lr: 1.000e-04 eta: 3:19:11 time: 0.220 data_time: 0.012 memory: 5148 grad_norm: 9.4689 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1679 loss: 1.1679 2022/06/28 19:30:58 - mmengine - INFO - Epoch(train) [89][60/3757] lr: 1.000e-04 eta: 3:19:06 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 9.4956 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1466 loss: 1.1466 2022/06/28 19:31:03 - mmengine - INFO - Epoch(train) [89][80/3757] lr: 1.000e-04 eta: 3:19:00 time: 0.219 data_time: 0.008 memory: 5148 grad_norm: 9.1431 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8244 loss: 0.8244 2022/06/28 19:31:09 - mmengine - INFO - Epoch(train) [89][100/3757] lr: 1.000e-04 eta: 3:18:55 time: 0.211 data_time: 0.030 memory: 5148 grad_norm: 10.4430 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3205 loss: 1.3205 2022/06/28 19:31:15 - mmengine - INFO - Epoch(train) [89][120/3757] lr: 1.000e-04 eta: 3:18:50 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 8.9356 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2554 loss: 1.2554 2022/06/28 19:31:19 - mmengine - INFO - Epoch(train) [89][140/3757] lr: 1.000e-04 eta: 3:18:45 time: 0.209 data_time: 0.017 memory: 5148 grad_norm: 9.5444 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4513 loss: 1.4513 2022/06/28 19:31:25 - mmengine - INFO - Epoch(train) [89][160/3757] lr: 1.000e-04 eta: 3:18:39 time: 0.845 data_time: 0.012 memory: 5148 grad_norm: 8.7247 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0827 loss: 1.0827 2022/06/28 19:31:30 - mmengine - INFO - Epoch(train) [89][180/3757] lr: 1.000e-04 eta: 3:18:34 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 9.5903 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1041 loss: 1.1041 2022/06/28 19:31:35 - mmengine - INFO - Epoch(train) [89][200/3757] lr: 1.000e-04 eta: 3:18:29 time: 0.228 data_time: 0.008 memory: 5148 grad_norm: 9.1092 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3677 loss: 1.3677 2022/06/28 19:31:41 - mmengine - INFO - Epoch(train) [89][220/3757] lr: 1.000e-04 eta: 3:18:23 time: 0.720 data_time: 0.007 memory: 5148 grad_norm: 9.0485 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3527 loss: 1.3527 2022/06/28 19:31:46 - mmengine - INFO - Epoch(train) [89][240/3757] lr: 1.000e-04 eta: 3:18:18 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 9.4840 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0351 loss: 1.0351 2022/06/28 19:31:52 - mmengine - INFO - Epoch(train) [89][260/3757] lr: 1.000e-04 eta: 3:18:13 time: 0.218 data_time: 0.008 memory: 5148 grad_norm: 9.8204 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1596 loss: 1.1596 2022/06/28 19:31:58 - mmengine - INFO - Epoch(train) [89][280/3757] lr: 1.000e-04 eta: 3:18:08 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 9.9256 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6555 loss: 1.6555 2022/06/28 19:32:02 - mmengine - INFO - Epoch(train) [89][300/3757] lr: 1.000e-04 eta: 3:18:02 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 10.2134 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9937 loss: 0.9937 2022/06/28 19:32:06 - mmengine - INFO - Epoch(train) [89][320/3757] lr: 1.000e-04 eta: 3:17:57 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 9.2444 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0150 loss: 1.0150 2022/06/28 19:32:11 - mmengine - INFO - Epoch(train) [89][340/3757] lr: 1.000e-04 eta: 3:17:51 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 9.5218 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1236 loss: 1.1236 2022/06/28 19:32:17 - mmengine - INFO - Epoch(train) [89][360/3757] lr: 1.000e-04 eta: 3:17:46 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 9.0927 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8414 loss: 0.8414 2022/06/28 19:32:23 - mmengine - INFO - Epoch(train) [89][380/3757] lr: 1.000e-04 eta: 3:17:41 time: 0.203 data_time: 0.015 memory: 5148 grad_norm: 7.7967 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3238 loss: 1.3238 2022/06/28 19:32:23 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 19:32:28 - mmengine - INFO - Epoch(train) [89][400/3757] lr: 1.000e-04 eta: 3:17:36 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 10.1943 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3900 loss: 1.3900 2022/06/28 19:32:33 - mmengine - INFO - Epoch(train) [89][420/3757] lr: 1.000e-04 eta: 3:17:30 time: 0.224 data_time: 0.012 memory: 5148 grad_norm: 8.3159 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1798 loss: 1.1798 2022/06/28 19:32:39 - mmengine - INFO - Epoch(train) [89][440/3757] lr: 1.000e-04 eta: 3:17:25 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 8.5534 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1920 loss: 1.1920 2022/06/28 19:32:45 - mmengine - INFO - Epoch(train) [89][460/3757] lr: 1.000e-04 eta: 3:17:20 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 8.5810 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1628 loss: 1.1628 2022/06/28 19:32:49 - mmengine - INFO - Epoch(train) [89][480/3757] lr: 1.000e-04 eta: 3:17:14 time: 0.214 data_time: 0.015 memory: 5148 grad_norm: 9.6075 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3558 loss: 1.3558 2022/06/28 19:32:55 - mmengine - INFO - Epoch(train) [89][500/3757] lr: 1.000e-04 eta: 3:17:09 time: 0.203 data_time: 0.017 memory: 5148 grad_norm: 7.9026 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4450 loss: 1.4450 2022/06/28 19:33:00 - mmengine - INFO - Epoch(train) [89][520/3757] lr: 1.000e-04 eta: 3:17:04 time: 0.620 data_time: 0.008 memory: 5148 grad_norm: 9.1503 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9754 loss: 0.9754 2022/06/28 19:33:05 - mmengine - INFO - Epoch(train) [89][540/3757] lr: 1.000e-04 eta: 3:16:58 time: 0.537 data_time: 0.010 memory: 5148 grad_norm: 8.7205 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0333 loss: 1.0333 2022/06/28 19:33:11 - mmengine - INFO - Epoch(train) [89][560/3757] lr: 1.000e-04 eta: 3:16:53 time: 0.204 data_time: 0.014 memory: 5148 grad_norm: 8.2770 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8707 loss: 0.8707 2022/06/28 19:33:16 - mmengine - INFO - Epoch(train) [89][580/3757] lr: 1.000e-04 eta: 3:16:48 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 7.2348 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1050 loss: 1.1050 2022/06/28 19:33:21 - mmengine - INFO - Epoch(train) [89][600/3757] lr: 1.000e-04 eta: 3:16:43 time: 0.225 data_time: 0.008 memory: 5148 grad_norm: 8.7221 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2220 loss: 1.2220 2022/06/28 19:33:27 - mmengine - INFO - Epoch(train) [89][620/3757] lr: 1.000e-04 eta: 3:16:37 time: 0.199 data_time: 0.013 memory: 5148 grad_norm: 8.4735 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1016 loss: 1.1016 2022/06/28 19:33:33 - mmengine - INFO - Epoch(train) [89][640/3757] lr: 1.000e-04 eta: 3:16:32 time: 0.231 data_time: 0.011 memory: 5148 grad_norm: 11.1321 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2704 loss: 1.2704 2022/06/28 19:33:37 - mmengine - INFO - Epoch(train) [89][660/3757] lr: 1.000e-04 eta: 3:16:27 time: 0.447 data_time: 0.007 memory: 5148 grad_norm: 8.7062 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1199 loss: 1.1199 2022/06/28 19:33:43 - mmengine - INFO - Epoch(train) [89][680/3757] lr: 1.000e-04 eta: 3:16:21 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 9.7586 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1041 loss: 1.1041 2022/06/28 19:33:48 - mmengine - INFO - Epoch(train) [89][700/3757] lr: 1.000e-04 eta: 3:16:16 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 9.2054 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1204 loss: 1.1204 2022/06/28 19:33:54 - mmengine - INFO - Epoch(train) [89][720/3757] lr: 1.000e-04 eta: 3:16:11 time: 0.204 data_time: 0.012 memory: 5148 grad_norm: 10.1966 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3304 loss: 1.3304 2022/06/28 19:34:00 - mmengine - INFO - Epoch(train) [89][740/3757] lr: 1.000e-04 eta: 3:16:06 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 9.4489 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5331 loss: 1.5331 2022/06/28 19:34:05 - mmengine - INFO - Epoch(train) [89][760/3757] lr: 1.000e-04 eta: 3:16:00 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 10.2937 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8972 loss: 0.8972 2022/06/28 19:34:10 - mmengine - INFO - Epoch(train) [89][780/3757] lr: 1.000e-04 eta: 3:15:55 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 10.2554 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3211 loss: 1.3211 2022/06/28 19:34:16 - mmengine - INFO - Epoch(train) [89][800/3757] lr: 1.000e-04 eta: 3:15:50 time: 0.242 data_time: 0.038 memory: 5148 grad_norm: 8.9800 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8903 loss: 0.8903 2022/06/28 19:34:21 - mmengine - INFO - Epoch(train) [89][820/3757] lr: 1.000e-04 eta: 3:15:44 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 8.3478 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2159 loss: 1.2159 2022/06/28 19:34:26 - mmengine - INFO - Epoch(train) [89][840/3757] lr: 1.000e-04 eta: 3:15:39 time: 0.207 data_time: 0.013 memory: 5148 grad_norm: 10.1145 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2737 loss: 1.2737 2022/06/28 19:34:32 - mmengine - INFO - Epoch(train) [89][860/3757] lr: 1.000e-04 eta: 3:15:34 time: 0.207 data_time: 0.006 memory: 5148 grad_norm: 10.1902 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2758 loss: 1.2758 2022/06/28 19:34:37 - mmengine - INFO - Epoch(train) [89][880/3757] lr: 1.000e-04 eta: 3:15:28 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 8.8141 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0858 loss: 1.0858 2022/06/28 19:34:42 - mmengine - INFO - Epoch(train) [89][900/3757] lr: 1.000e-04 eta: 3:15:23 time: 0.198 data_time: 0.014 memory: 5148 grad_norm: 10.0273 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2981 loss: 1.2981 2022/06/28 19:34:47 - mmengine - INFO - Epoch(train) [89][920/3757] lr: 1.000e-04 eta: 3:15:18 time: 0.217 data_time: 0.008 memory: 5148 grad_norm: 7.9652 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0627 loss: 1.0627 2022/06/28 19:34:53 - mmengine - INFO - Epoch(train) [89][940/3757] lr: 1.000e-04 eta: 3:15:12 time: 0.211 data_time: 0.014 memory: 5148 grad_norm: 11.1498 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3576 loss: 1.3576 2022/06/28 19:34:57 - mmengine - INFO - Epoch(train) [89][960/3757] lr: 1.000e-04 eta: 3:15:07 time: 0.208 data_time: 0.016 memory: 5148 grad_norm: 9.2986 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6253 loss: 1.6253 2022/06/28 19:35:03 - mmengine - INFO - Epoch(train) [89][980/3757] lr: 1.000e-04 eta: 3:15:02 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 7.9499 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0465 loss: 1.0465 2022/06/28 19:35:09 - mmengine - INFO - Epoch(train) [89][1000/3757] lr: 1.000e-04 eta: 3:14:57 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 10.1859 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0039 loss: 1.0039 2022/06/28 19:35:14 - mmengine - INFO - Epoch(train) [89][1020/3757] lr: 1.000e-04 eta: 3:14:51 time: 0.211 data_time: 0.030 memory: 5148 grad_norm: 9.9709 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0437 loss: 1.0437 2022/06/28 19:35:20 - mmengine - INFO - Epoch(train) [89][1040/3757] lr: 1.000e-04 eta: 3:14:46 time: 0.218 data_time: 0.008 memory: 5148 grad_norm: 9.1993 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3105 loss: 1.3105 2022/06/28 19:35:24 - mmengine - INFO - Epoch(train) [89][1060/3757] lr: 1.000e-04 eta: 3:14:41 time: 0.211 data_time: 0.010 memory: 5148 grad_norm: 10.2271 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7647 loss: 0.7647 2022/06/28 19:35:30 - mmengine - INFO - Epoch(train) [89][1080/3757] lr: 1.000e-04 eta: 3:14:35 time: 0.229 data_time: 0.051 memory: 5148 grad_norm: 9.2265 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2011 loss: 1.2011 2022/06/28 19:35:36 - mmengine - INFO - Epoch(train) [89][1100/3757] lr: 1.000e-04 eta: 3:14:30 time: 0.862 data_time: 0.007 memory: 5148 grad_norm: 9.4655 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.4806 loss: 1.4806 2022/06/28 19:35:41 - mmengine - INFO - Epoch(train) [89][1120/3757] lr: 1.000e-04 eta: 3:14:25 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 9.2283 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9860 loss: 0.9860 2022/06/28 19:35:46 - mmengine - INFO - Epoch(train) [89][1140/3757] lr: 1.000e-04 eta: 3:14:19 time: 0.214 data_time: 0.016 memory: 5148 grad_norm: 10.5747 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1242 loss: 1.1242 2022/06/28 19:35:51 - mmengine - INFO - Epoch(train) [89][1160/3757] lr: 1.000e-04 eta: 3:14:14 time: 0.516 data_time: 0.011 memory: 5148 grad_norm: 10.4838 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2609 loss: 1.2609 2022/06/28 19:35:57 - mmengine - INFO - Epoch(train) [89][1180/3757] lr: 1.000e-04 eta: 3:14:09 time: 0.235 data_time: 0.052 memory: 5148 grad_norm: 9.7791 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3270 loss: 1.3270 2022/06/28 19:36:02 - mmengine - INFO - Epoch(train) [89][1200/3757] lr: 1.000e-04 eta: 3:14:03 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 8.6403 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1114 loss: 1.1114 2022/06/28 19:36:07 - mmengine - INFO - Epoch(train) [89][1220/3757] lr: 1.000e-04 eta: 3:13:58 time: 0.804 data_time: 0.008 memory: 5148 grad_norm: 8.8234 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9847 loss: 0.9847 2022/06/28 19:36:13 - mmengine - INFO - Epoch(train) [89][1240/3757] lr: 1.000e-04 eta: 3:13:53 time: 0.297 data_time: 0.113 memory: 5148 grad_norm: 8.7525 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9683 loss: 0.9683 2022/06/28 19:36:18 - mmengine - INFO - Epoch(train) [89][1260/3757] lr: 1.000e-04 eta: 3:13:47 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 8.9572 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1189 loss: 1.1189 2022/06/28 19:36:24 - mmengine - INFO - Epoch(train) [89][1280/3757] lr: 1.000e-04 eta: 3:13:42 time: 0.878 data_time: 0.007 memory: 5148 grad_norm: 8.8512 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8689 loss: 0.8689 2022/06/28 19:36:28 - mmengine - INFO - Epoch(train) [89][1300/3757] lr: 1.000e-04 eta: 3:13:37 time: 0.212 data_time: 0.023 memory: 5148 grad_norm: 9.4117 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4679 loss: 1.4679 2022/06/28 19:36:33 - mmengine - INFO - Epoch(train) [89][1320/3757] lr: 1.000e-04 eta: 3:13:32 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 8.9864 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0346 loss: 1.0346 2022/06/28 19:36:39 - mmengine - INFO - Epoch(train) [89][1340/3757] lr: 1.000e-04 eta: 3:13:26 time: 0.380 data_time: 0.008 memory: 5148 grad_norm: 8.5608 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0636 loss: 1.0636 2022/06/28 19:36:44 - mmengine - INFO - Epoch(train) [89][1360/3757] lr: 1.000e-04 eta: 3:13:21 time: 0.215 data_time: 0.016 memory: 5148 grad_norm: 9.1663 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1427 loss: 1.1427 2022/06/28 19:36:49 - mmengine - INFO - Epoch(train) [89][1380/3757] lr: 1.000e-04 eta: 3:13:16 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 9.2638 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8614 loss: 0.8614 2022/06/28 19:36:50 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 19:36:55 - mmengine - INFO - Epoch(train) [89][1400/3757] lr: 1.000e-04 eta: 3:13:10 time: 1.162 data_time: 0.008 memory: 5148 grad_norm: 8.9267 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2660 loss: 1.2660 2022/06/28 19:37:00 - mmengine - INFO - Epoch(train) [89][1420/3757] lr: 1.000e-04 eta: 3:13:05 time: 0.215 data_time: 0.022 memory: 5148 grad_norm: 8.5805 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1016 loss: 1.1016 2022/06/28 19:37:05 - mmengine - INFO - Epoch(train) [89][1440/3757] lr: 1.000e-04 eta: 3:13:00 time: 0.201 data_time: 0.012 memory: 5148 grad_norm: 9.4221 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0600 loss: 1.0600 2022/06/28 19:37:11 - mmengine - INFO - Epoch(train) [89][1460/3757] lr: 1.000e-04 eta: 3:12:54 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 8.4170 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9535 loss: 0.9535 2022/06/28 19:37:16 - mmengine - INFO - Epoch(train) [89][1480/3757] lr: 1.000e-04 eta: 3:12:49 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 9.8600 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2554 loss: 1.2554 2022/06/28 19:37:21 - mmengine - INFO - Epoch(train) [89][1500/3757] lr: 1.000e-04 eta: 3:12:44 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 9.3034 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2358 loss: 1.2358 2022/06/28 19:37:27 - mmengine - INFO - Epoch(train) [89][1520/3757] lr: 1.000e-04 eta: 3:12:38 time: 0.211 data_time: 0.008 memory: 5148 grad_norm: 10.0414 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2661 loss: 1.2661 2022/06/28 19:37:33 - mmengine - INFO - Epoch(train) [89][1540/3757] lr: 1.000e-04 eta: 3:12:33 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 8.6491 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1062 loss: 1.1062 2022/06/28 19:37:38 - mmengine - INFO - Epoch(train) [89][1560/3757] lr: 1.000e-04 eta: 3:12:28 time: 0.201 data_time: 0.016 memory: 5148 grad_norm: 10.5185 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4434 loss: 1.4434 2022/06/28 19:37:44 - mmengine - INFO - Epoch(train) [89][1580/3757] lr: 1.000e-04 eta: 3:12:23 time: 0.215 data_time: 0.008 memory: 5148 grad_norm: 8.5813 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0565 loss: 1.0565 2022/06/28 19:37:49 - mmengine - INFO - Epoch(train) [89][1600/3757] lr: 1.000e-04 eta: 3:12:17 time: 0.209 data_time: 0.010 memory: 5148 grad_norm: 9.7890 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3896 loss: 1.3896 2022/06/28 19:37:54 - mmengine - INFO - Epoch(train) [89][1620/3757] lr: 1.000e-04 eta: 3:12:12 time: 0.229 data_time: 0.007 memory: 5148 grad_norm: 9.3775 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0973 loss: 1.0973 2022/06/28 19:38:00 - mmengine - INFO - Epoch(train) [89][1640/3757] lr: 1.000e-04 eta: 3:12:07 time: 1.047 data_time: 0.011 memory: 5148 grad_norm: 9.1953 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4760 loss: 1.4760 2022/06/28 19:38:05 - mmengine - INFO - Epoch(train) [89][1660/3757] lr: 1.000e-04 eta: 3:12:01 time: 0.235 data_time: 0.012 memory: 5148 grad_norm: 10.1105 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0754 loss: 1.0754 2022/06/28 19:38:12 - mmengine - INFO - Epoch(train) [89][1680/3757] lr: 1.000e-04 eta: 3:11:56 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 10.0427 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0580 loss: 1.0580 2022/06/28 19:38:16 - mmengine - INFO - Epoch(train) [89][1700/3757] lr: 1.000e-04 eta: 3:11:51 time: 0.205 data_time: 0.006 memory: 5148 grad_norm: 9.4396 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1251 loss: 1.1251 2022/06/28 19:38:20 - mmengine - INFO - Epoch(train) [89][1720/3757] lr: 1.000e-04 eta: 3:11:45 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 10.0693 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2680 loss: 1.2680 2022/06/28 19:38:27 - mmengine - INFO - Epoch(train) [89][1740/3757] lr: 1.000e-04 eta: 3:11:40 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 8.9465 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9625 loss: 0.9625 2022/06/28 19:38:32 - mmengine - INFO - Epoch(train) [89][1760/3757] lr: 1.000e-04 eta: 3:11:35 time: 0.847 data_time: 0.008 memory: 5148 grad_norm: 7.3144 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8547 loss: 0.8547 2022/06/28 19:38:37 - mmengine - INFO - Epoch(train) [89][1780/3757] lr: 1.000e-04 eta: 3:11:30 time: 0.196 data_time: 0.012 memory: 5148 grad_norm: 10.6958 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3517 loss: 1.3517 2022/06/28 19:38:42 - mmengine - INFO - Epoch(train) [89][1800/3757] lr: 1.000e-04 eta: 3:11:24 time: 0.233 data_time: 0.011 memory: 5148 grad_norm: 9.7345 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4621 loss: 1.4621 2022/06/28 19:38:48 - mmengine - INFO - Epoch(train) [89][1820/3757] lr: 1.000e-04 eta: 3:11:19 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 7.1562 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0489 loss: 1.0489 2022/06/28 19:38:53 - mmengine - INFO - Epoch(train) [89][1840/3757] lr: 1.000e-04 eta: 3:11:14 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 9.1969 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0683 loss: 1.0683 2022/06/28 19:38:59 - mmengine - INFO - Epoch(train) [89][1860/3757] lr: 1.000e-04 eta: 3:11:08 time: 0.222 data_time: 0.007 memory: 5148 grad_norm: 9.9815 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7778 loss: 0.7778 2022/06/28 19:39:04 - mmengine - INFO - Epoch(train) [89][1880/3757] lr: 1.000e-04 eta: 3:11:03 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 8.6981 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2462 loss: 1.2462 2022/06/28 19:39:09 - mmengine - INFO - Epoch(train) [89][1900/3757] lr: 1.000e-04 eta: 3:10:58 time: 0.218 data_time: 0.007 memory: 5148 grad_norm: 9.2440 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9188 loss: 1.9188 2022/06/28 19:39:15 - mmengine - INFO - Epoch(train) [89][1920/3757] lr: 1.000e-04 eta: 3:10:53 time: 0.207 data_time: 0.013 memory: 5148 grad_norm: 9.2076 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9526 loss: 0.9526 2022/06/28 19:39:20 - mmengine - INFO - Epoch(train) [89][1940/3757] lr: 1.000e-04 eta: 3:10:47 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 7.6332 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2217 loss: 1.2217 2022/06/28 19:39:25 - mmengine - INFO - Epoch(train) [89][1960/3757] lr: 1.000e-04 eta: 3:10:42 time: 0.216 data_time: 0.016 memory: 5148 grad_norm: 7.8724 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2972 loss: 1.2972 2022/06/28 19:39:30 - mmengine - INFO - Epoch(train) [89][1980/3757] lr: 1.000e-04 eta: 3:10:37 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 9.3644 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2159 loss: 1.2159 2022/06/28 19:39:36 - mmengine - INFO - Epoch(train) [89][2000/3757] lr: 1.000e-04 eta: 3:10:31 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 8.2996 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9627 loss: 0.9627 2022/06/28 19:39:42 - mmengine - INFO - Epoch(train) [89][2020/3757] lr: 1.000e-04 eta: 3:10:26 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 8.7711 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1788 loss: 1.1788 2022/06/28 19:39:47 - mmengine - INFO - Epoch(train) [89][2040/3757] lr: 1.000e-04 eta: 3:10:21 time: 0.196 data_time: 0.015 memory: 5148 grad_norm: 9.8430 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1597 loss: 1.1597 2022/06/28 19:39:51 - mmengine - INFO - Epoch(train) [89][2060/3757] lr: 1.000e-04 eta: 3:10:15 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 8.6605 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9083 loss: 0.9083 2022/06/28 19:39:58 - mmengine - INFO - Epoch(train) [89][2080/3757] lr: 1.000e-04 eta: 3:10:10 time: 0.780 data_time: 0.008 memory: 5148 grad_norm: 8.2388 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1381 loss: 1.1381 2022/06/28 19:40:03 - mmengine - INFO - Epoch(train) [89][2100/3757] lr: 1.000e-04 eta: 3:10:05 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 9.2397 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9760 loss: 0.9760 2022/06/28 19:40:09 - mmengine - INFO - Epoch(train) [89][2120/3757] lr: 1.000e-04 eta: 3:10:00 time: 0.239 data_time: 0.011 memory: 5148 grad_norm: 8.5298 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0504 loss: 1.0504 2022/06/28 19:40:14 - mmengine - INFO - Epoch(train) [89][2140/3757] lr: 1.000e-04 eta: 3:09:54 time: 0.211 data_time: 0.008 memory: 5148 grad_norm: 10.0482 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2950 loss: 1.2950 2022/06/28 19:40:19 - mmengine - INFO - Epoch(train) [89][2160/3757] lr: 1.000e-04 eta: 3:09:49 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 9.9211 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0553 loss: 1.0553 2022/06/28 19:40:25 - mmengine - INFO - Epoch(train) [89][2180/3757] lr: 1.000e-04 eta: 3:09:44 time: 0.218 data_time: 0.041 memory: 5148 grad_norm: 9.0363 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9946 loss: 0.9946 2022/06/28 19:40:30 - mmengine - INFO - Epoch(train) [89][2200/3757] lr: 1.000e-04 eta: 3:09:38 time: 0.203 data_time: 0.014 memory: 5148 grad_norm: 8.9312 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3289 loss: 1.3289 2022/06/28 19:40:35 - mmengine - INFO - Epoch(train) [89][2220/3757] lr: 1.000e-04 eta: 3:09:33 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 9.9746 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2929 loss: 1.2929 2022/06/28 19:40:40 - mmengine - INFO - Epoch(train) [89][2240/3757] lr: 1.000e-04 eta: 3:09:28 time: 0.215 data_time: 0.012 memory: 5148 grad_norm: 8.2189 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9837 loss: 0.9837 2022/06/28 19:40:45 - mmengine - INFO - Epoch(train) [89][2260/3757] lr: 1.000e-04 eta: 3:09:22 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 8.6282 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8469 loss: 0.8469 2022/06/28 19:40:51 - mmengine - INFO - Epoch(train) [89][2280/3757] lr: 1.000e-04 eta: 3:09:17 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 8.9255 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0301 loss: 1.0301 2022/06/28 19:40:56 - mmengine - INFO - Epoch(train) [89][2300/3757] lr: 1.000e-04 eta: 3:09:12 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 9.0530 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3517 loss: 1.3517 2022/06/28 19:41:01 - mmengine - INFO - Epoch(train) [89][2320/3757] lr: 1.000e-04 eta: 3:09:06 time: 0.223 data_time: 0.011 memory: 5148 grad_norm: 9.6290 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3562 loss: 1.3562 2022/06/28 19:41:08 - mmengine - INFO - Epoch(train) [89][2340/3757] lr: 1.000e-04 eta: 3:09:01 time: 0.200 data_time: 0.012 memory: 5148 grad_norm: 6.7440 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0004 loss: 1.0004 2022/06/28 19:41:13 - mmengine - INFO - Epoch(train) [89][2360/3757] lr: 1.000e-04 eta: 3:08:56 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 7.0485 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0568 loss: 1.0568 2022/06/28 19:41:18 - mmengine - INFO - Epoch(train) [89][2380/3757] lr: 1.000e-04 eta: 3:08:51 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 9.3452 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9791 loss: 0.9791 2022/06/28 19:41:20 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 19:41:24 - mmengine - INFO - Epoch(train) [89][2400/3757] lr: 1.000e-04 eta: 3:08:45 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 9.9806 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3592 loss: 1.3592 2022/06/28 19:41:29 - mmengine - INFO - Epoch(train) [89][2420/3757] lr: 1.000e-04 eta: 3:08:40 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 8.9000 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2738 loss: 1.2738 2022/06/28 19:41:33 - mmengine - INFO - Epoch(train) [89][2440/3757] lr: 1.000e-04 eta: 3:08:35 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 9.5162 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0150 loss: 1.0150 2022/06/28 19:41:39 - mmengine - INFO - Epoch(train) [89][2460/3757] lr: 1.000e-04 eta: 3:08:29 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 7.9091 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1224 loss: 1.1224 2022/06/28 19:41:45 - mmengine - INFO - Epoch(train) [89][2480/3757] lr: 1.000e-04 eta: 3:08:24 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 9.0851 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0989 loss: 1.0989 2022/06/28 19:41:50 - mmengine - INFO - Epoch(train) [89][2500/3757] lr: 1.000e-04 eta: 3:08:19 time: 0.207 data_time: 0.018 memory: 5148 grad_norm: 9.7843 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1353 loss: 1.1353 2022/06/28 19:41:55 - mmengine - INFO - Epoch(train) [89][2520/3757] lr: 1.000e-04 eta: 3:08:13 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 8.0468 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2515 loss: 1.2515 2022/06/28 19:42:01 - mmengine - INFO - Epoch(train) [89][2540/3757] lr: 1.000e-04 eta: 3:08:08 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 9.3603 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2059 loss: 1.2059 2022/06/28 19:42:06 - mmengine - INFO - Epoch(train) [89][2560/3757] lr: 1.000e-04 eta: 3:08:03 time: 0.442 data_time: 0.261 memory: 5148 grad_norm: 7.4802 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8948 loss: 0.8948 2022/06/28 19:42:11 - mmengine - INFO - Epoch(train) [89][2580/3757] lr: 1.000e-04 eta: 3:07:57 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 7.8266 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1552 loss: 1.1552 2022/06/28 19:42:17 - mmengine - INFO - Epoch(train) [89][2600/3757] lr: 1.000e-04 eta: 3:07:52 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 8.3592 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4416 loss: 1.4416 2022/06/28 19:42:22 - mmengine - INFO - Epoch(train) [89][2620/3757] lr: 1.000e-04 eta: 3:07:47 time: 0.207 data_time: 0.011 memory: 5148 grad_norm: 9.6207 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8631 loss: 0.8631 2022/06/28 19:42:27 - mmengine - INFO - Epoch(train) [89][2640/3757] lr: 1.000e-04 eta: 3:07:42 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 8.2043 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2428 loss: 1.2428 2022/06/28 19:42:33 - mmengine - INFO - Epoch(train) [89][2660/3757] lr: 1.000e-04 eta: 3:07:36 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 8.2145 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3804 loss: 1.3804 2022/06/28 19:42:38 - mmengine - INFO - Epoch(train) [89][2680/3757] lr: 1.000e-04 eta: 3:07:31 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 10.6926 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7627 loss: 0.7627 2022/06/28 19:42:44 - mmengine - INFO - Epoch(train) [89][2700/3757] lr: 1.000e-04 eta: 3:07:26 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 8.4824 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1917 loss: 1.1917 2022/06/28 19:42:49 - mmengine - INFO - Epoch(train) [89][2720/3757] lr: 1.000e-04 eta: 3:07:20 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 10.3542 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0548 loss: 1.0548 2022/06/28 19:42:54 - mmengine - INFO - Epoch(train) [89][2740/3757] lr: 1.000e-04 eta: 3:07:15 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 9.9712 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2572 loss: 1.2572 2022/06/28 19:42:59 - mmengine - INFO - Epoch(train) [89][2760/3757] lr: 1.000e-04 eta: 3:07:10 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 8.9989 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3768 loss: 1.3768 2022/06/28 19:43:05 - mmengine - INFO - Epoch(train) [89][2780/3757] lr: 1.000e-04 eta: 3:07:04 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 7.4161 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1189 loss: 1.1189 2022/06/28 19:43:10 - mmengine - INFO - Epoch(train) [89][2800/3757] lr: 1.000e-04 eta: 3:06:59 time: 0.211 data_time: 0.006 memory: 5148 grad_norm: 9.9299 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3933 loss: 1.3933 2022/06/28 19:43:15 - mmengine - INFO - Epoch(train) [89][2820/3757] lr: 1.000e-04 eta: 3:06:54 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 10.4602 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1281 loss: 1.1281 2022/06/28 19:43:21 - mmengine - INFO - Epoch(train) [89][2840/3757] lr: 1.000e-04 eta: 3:06:49 time: 0.220 data_time: 0.008 memory: 5148 grad_norm: 7.9147 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4962 loss: 1.4962 2022/06/28 19:43:26 - mmengine - INFO - Epoch(train) [89][2860/3757] lr: 1.000e-04 eta: 3:06:43 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 9.4831 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7544 loss: 1.7544 2022/06/28 19:43:31 - mmengine - INFO - Epoch(train) [89][2880/3757] lr: 1.000e-04 eta: 3:06:38 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 8.1514 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0332 loss: 1.0332 2022/06/28 19:43:37 - mmengine - INFO - Epoch(train) [89][2900/3757] lr: 1.000e-04 eta: 3:06:33 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 6.8170 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1445 loss: 1.1445 2022/06/28 19:43:42 - mmengine - INFO - Epoch(train) [89][2920/3757] lr: 1.000e-04 eta: 3:06:27 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 8.9337 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2116 loss: 1.2116 2022/06/28 19:43:47 - mmengine - INFO - Epoch(train) [89][2940/3757] lr: 1.000e-04 eta: 3:06:22 time: 0.441 data_time: 0.013 memory: 5148 grad_norm: 10.6561 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3552 loss: 1.3552 2022/06/28 19:43:52 - mmengine - INFO - Epoch(train) [89][2960/3757] lr: 1.000e-04 eta: 3:06:17 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 10.1053 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4765 loss: 1.4765 2022/06/28 19:43:58 - mmengine - INFO - Epoch(train) [89][2980/3757] lr: 1.000e-04 eta: 3:06:11 time: 0.205 data_time: 0.018 memory: 5148 grad_norm: 9.2162 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2366 loss: 1.2366 2022/06/28 19:44:04 - mmengine - INFO - Epoch(train) [89][3000/3757] lr: 1.000e-04 eta: 3:06:06 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 7.5192 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9394 loss: 0.9394 2022/06/28 19:44:09 - mmengine - INFO - Epoch(train) [89][3020/3757] lr: 1.000e-04 eta: 3:06:01 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 8.3679 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0978 loss: 1.0978 2022/06/28 19:44:14 - mmengine - INFO - Epoch(train) [89][3040/3757] lr: 1.000e-04 eta: 3:05:55 time: 0.217 data_time: 0.026 memory: 5148 grad_norm: 9.7760 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1917 loss: 1.1917 2022/06/28 19:44:20 - mmengine - INFO - Epoch(train) [89][3060/3757] lr: 1.000e-04 eta: 3:05:50 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 11.9214 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0087 loss: 1.0087 2022/06/28 19:44:25 - mmengine - INFO - Epoch(train) [89][3080/3757] lr: 1.000e-04 eta: 3:05:45 time: 0.232 data_time: 0.010 memory: 5148 grad_norm: 11.4609 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1868 loss: 1.1868 2022/06/28 19:44:30 - mmengine - INFO - Epoch(train) [89][3100/3757] lr: 1.000e-04 eta: 3:05:40 time: 0.212 data_time: 0.029 memory: 5148 grad_norm: 9.6128 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3037 loss: 1.3037 2022/06/28 19:44:36 - mmengine - INFO - Epoch(train) [89][3120/3757] lr: 1.000e-04 eta: 3:05:34 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 8.9582 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1371 loss: 1.1371 2022/06/28 19:44:41 - mmengine - INFO - Epoch(train) [89][3140/3757] lr: 1.000e-04 eta: 3:05:29 time: 0.214 data_time: 0.011 memory: 5148 grad_norm: 8.5443 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1264 loss: 1.1264 2022/06/28 19:44:47 - mmengine - INFO - Epoch(train) [89][3160/3757] lr: 1.000e-04 eta: 3:05:24 time: 0.215 data_time: 0.035 memory: 5148 grad_norm: 9.3741 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5574 loss: 1.5574 2022/06/28 19:44:51 - mmengine - INFO - Epoch(train) [89][3180/3757] lr: 1.000e-04 eta: 3:05:18 time: 0.199 data_time: 0.014 memory: 5148 grad_norm: 9.3549 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1562 loss: 1.1562 2022/06/28 19:44:57 - mmengine - INFO - Epoch(train) [89][3200/3757] lr: 1.000e-04 eta: 3:05:13 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 10.0942 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0553 loss: 1.0553 2022/06/28 19:45:02 - mmengine - INFO - Epoch(train) [89][3220/3757] lr: 1.000e-04 eta: 3:05:08 time: 0.245 data_time: 0.016 memory: 5148 grad_norm: 7.6308 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3296 loss: 1.3296 2022/06/28 19:45:07 - mmengine - INFO - Epoch(train) [89][3240/3757] lr: 1.000e-04 eta: 3:05:02 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 9.3202 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2424 loss: 1.2424 2022/06/28 19:45:13 - mmengine - INFO - Epoch(train) [89][3260/3757] lr: 1.000e-04 eta: 3:04:57 time: 0.297 data_time: 0.078 memory: 5148 grad_norm: 10.5663 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3153 loss: 1.3153 2022/06/28 19:45:18 - mmengine - INFO - Epoch(train) [89][3280/3757] lr: 1.000e-04 eta: 3:04:52 time: 0.206 data_time: 0.015 memory: 5148 grad_norm: 9.7421 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3612 loss: 1.3612 2022/06/28 19:45:24 - mmengine - INFO - Epoch(train) [89][3300/3757] lr: 1.000e-04 eta: 3:04:47 time: 0.206 data_time: 0.019 memory: 5148 grad_norm: 9.1059 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0802 loss: 1.0802 2022/06/28 19:45:29 - mmengine - INFO - Epoch(train) [89][3320/3757] lr: 1.000e-04 eta: 3:04:41 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 8.9575 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3036 loss: 1.3036 2022/06/28 19:45:34 - mmengine - INFO - Epoch(train) [89][3340/3757] lr: 1.000e-04 eta: 3:04:36 time: 0.209 data_time: 0.026 memory: 5148 grad_norm: 9.2445 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8511 loss: 0.8511 2022/06/28 19:45:40 - mmengine - INFO - Epoch(train) [89][3360/3757] lr: 1.000e-04 eta: 3:04:31 time: 0.208 data_time: 0.012 memory: 5148 grad_norm: 9.7760 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1264 loss: 1.1264 2022/06/28 19:45:45 - mmengine - INFO - Epoch(train) [89][3380/3757] lr: 1.000e-04 eta: 3:04:25 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 9.8631 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7447 loss: 0.7447 2022/06/28 19:45:46 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 19:45:51 - mmengine - INFO - Epoch(train) [89][3400/3757] lr: 1.000e-04 eta: 3:04:20 time: 0.208 data_time: 0.020 memory: 5148 grad_norm: 10.0763 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2806 loss: 1.2806 2022/06/28 19:45:56 - mmengine - INFO - Epoch(train) [89][3420/3757] lr: 1.000e-04 eta: 3:04:15 time: 0.228 data_time: 0.010 memory: 5148 grad_norm: 9.4023 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3943 loss: 1.3943 2022/06/28 19:46:01 - mmengine - INFO - Epoch(train) [89][3440/3757] lr: 1.000e-04 eta: 3:04:09 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 8.9326 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 0.7209 loss: 0.7209 2022/06/28 19:46:07 - mmengine - INFO - Epoch(train) [89][3460/3757] lr: 1.000e-04 eta: 3:04:04 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 9.6588 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1532 loss: 1.1532 2022/06/28 19:46:12 - mmengine - INFO - Epoch(train) [89][3480/3757] lr: 1.000e-04 eta: 3:03:59 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 9.1987 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1268 loss: 1.1268 2022/06/28 19:46:17 - mmengine - INFO - Epoch(train) [89][3500/3757] lr: 1.000e-04 eta: 3:03:53 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 7.9663 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0891 loss: 1.0891 2022/06/28 19:46:22 - mmengine - INFO - Epoch(train) [89][3520/3757] lr: 1.000e-04 eta: 3:03:48 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 10.3980 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9349 loss: 0.9349 2022/06/28 19:46:28 - mmengine - INFO - Epoch(train) [89][3540/3757] lr: 1.000e-04 eta: 3:03:43 time: 0.210 data_time: 0.011 memory: 5148 grad_norm: 10.1890 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2409 loss: 1.2409 2022/06/28 19:46:33 - mmengine - INFO - Epoch(train) [89][3560/3757] lr: 1.000e-04 eta: 3:03:38 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 8.0563 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9908 loss: 0.9908 2022/06/28 19:46:38 - mmengine - INFO - Epoch(train) [89][3580/3757] lr: 1.000e-04 eta: 3:03:32 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 8.7814 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3689 loss: 1.3689 2022/06/28 19:46:44 - mmengine - INFO - Epoch(train) [89][3600/3757] lr: 1.000e-04 eta: 3:03:27 time: 0.219 data_time: 0.008 memory: 5148 grad_norm: 9.5203 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5355 loss: 1.5355 2022/06/28 19:46:50 - mmengine - INFO - Epoch(train) [89][3620/3757] lr: 1.000e-04 eta: 3:03:22 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 10.7377 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7093 loss: 0.7093 2022/06/28 19:46:54 - mmengine - INFO - Epoch(train) [89][3640/3757] lr: 1.000e-04 eta: 3:03:16 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 9.9099 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0637 loss: 1.0637 2022/06/28 19:46:59 - mmengine - INFO - Epoch(train) [89][3660/3757] lr: 1.000e-04 eta: 3:03:11 time: 0.205 data_time: 0.015 memory: 5148 grad_norm: 10.0177 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6829 loss: 1.6829 2022/06/28 19:47:06 - mmengine - INFO - Epoch(train) [89][3680/3757] lr: 1.000e-04 eta: 3:03:06 time: 0.212 data_time: 0.020 memory: 5148 grad_norm: 9.3757 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9640 loss: 0.9640 2022/06/28 19:47:10 - mmengine - INFO - Epoch(train) [89][3700/3757] lr: 1.000e-04 eta: 3:03:00 time: 0.221 data_time: 0.011 memory: 5148 grad_norm: 8.5744 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3751 loss: 1.3751 2022/06/28 19:47:15 - mmengine - INFO - Epoch(train) [89][3720/3757] lr: 1.000e-04 eta: 3:02:55 time: 0.206 data_time: 0.012 memory: 5148 grad_norm: 8.1642 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7710 loss: 0.7710 2022/06/28 19:47:20 - mmengine - INFO - Epoch(train) [89][3740/3757] lr: 1.000e-04 eta: 3:02:50 time: 0.203 data_time: 0.022 memory: 5148 grad_norm: 8.7859 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8800 loss: 0.8800 2022/06/28 19:47:24 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 19:47:31 - mmengine - INFO - Epoch(val) [89][20/310] eta: 0:01:18 time: 0.274 data_time: 0.202 memory: 5148 2022/06/28 19:47:35 - mmengine - INFO - Epoch(val) [89][40/310] eta: 0:01:00 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 19:47:41 - mmengine - INFO - Epoch(val) [89][60/310] eta: 0:00:56 time: 0.090 data_time: 0.013 memory: 1367 2022/06/28 19:47:46 - mmengine - INFO - Epoch(val) [89][80/310] eta: 0:00:57 time: 0.232 data_time: 0.162 memory: 1367 2022/06/28 19:47:52 - mmengine - INFO - Epoch(val) [89][100/310] eta: 0:00:48 time: 0.077 data_time: 0.006 memory: 1367 2022/06/28 19:47:56 - mmengine - INFO - Epoch(val) [89][120/310] eta: 0:00:42 time: 0.080 data_time: 0.008 memory: 1367 2022/06/28 19:48:02 - mmengine - INFO - Epoch(val) [89][140/310] eta: 0:00:40 time: 0.091 data_time: 0.005 memory: 1367 2022/06/28 19:48:08 - mmengine - INFO - Epoch(val) [89][160/310] eta: 0:00:45 time: 0.863 data_time: 0.791 memory: 1367 2022/06/28 19:48:13 - mmengine - INFO - Epoch(val) [89][180/310] eta: 0:00:34 time: 0.348 data_time: 0.277 memory: 1367 2022/06/28 19:48:18 - mmengine - INFO - Epoch(val) [89][200/310] eta: 0:00:27 time: 0.276 data_time: 0.199 memory: 1367 2022/06/28 19:48:24 - mmengine - INFO - Epoch(val) [89][220/310] eta: 0:00:27 time: 0.091 data_time: 0.008 memory: 1367 2022/06/28 19:48:28 - mmengine - INFO - Epoch(val) [89][240/310] eta: 0:00:15 time: 0.081 data_time: 0.009 memory: 1367 2022/06/28 19:48:34 - mmengine - INFO - Epoch(val) [89][260/310] eta: 0:00:16 time: 0.080 data_time: 0.007 memory: 1367 2022/06/28 19:48:39 - mmengine - INFO - Epoch(val) [89][280/310] eta: 0:00:07 time: 0.087 data_time: 0.011 memory: 1367 2022/06/28 19:48:45 - mmengine - INFO - Epoch(val) [89][300/310] eta: 0:00:03 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 19:48:48 - mmengine - INFO - Epoch(val) [89][310/310] acc/top1: 0.6608 acc/top5: 0.8628 acc/mean1: 0.6608 2022/06/28 19:48:57 - mmengine - INFO - Epoch(train) [90][20/3757] lr: 1.000e-04 eta: 3:02:40 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 10.5018 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1437 loss: 1.1437 2022/06/28 19:49:02 - mmengine - INFO - Epoch(train) [90][40/3757] lr: 1.000e-04 eta: 3:02:35 time: 0.196 data_time: 0.014 memory: 5148 grad_norm: 8.9436 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3033 loss: 1.3033 2022/06/28 19:49:08 - mmengine - INFO - Epoch(train) [90][60/3757] lr: 1.000e-04 eta: 3:02:29 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 10.1465 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2891 loss: 1.2891 2022/06/28 19:49:13 - mmengine - INFO - Epoch(train) [90][80/3757] lr: 1.000e-04 eta: 3:02:24 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 8.3247 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2062 loss: 1.2062 2022/06/28 19:49:19 - mmengine - INFO - Epoch(train) [90][100/3757] lr: 1.000e-04 eta: 3:02:19 time: 0.765 data_time: 0.007 memory: 5148 grad_norm: 9.8375 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1263 loss: 1.1263 2022/06/28 19:49:24 - mmengine - INFO - Epoch(train) [90][120/3757] lr: 1.000e-04 eta: 3:02:14 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 10.4845 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9543 loss: 0.9543 2022/06/28 19:49:30 - mmengine - INFO - Epoch(train) [90][140/3757] lr: 1.000e-04 eta: 3:02:08 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 8.7534 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1157 loss: 1.1157 2022/06/28 19:49:36 - mmengine - INFO - Epoch(train) [90][160/3757] lr: 1.000e-04 eta: 3:02:03 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 8.1623 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1105 loss: 1.1105 2022/06/28 19:49:40 - mmengine - INFO - Epoch(train) [90][180/3757] lr: 1.000e-04 eta: 3:01:58 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 8.4684 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0339 loss: 1.0339 2022/06/28 19:49:45 - mmengine - INFO - Epoch(train) [90][200/3757] lr: 1.000e-04 eta: 3:01:52 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 9.2179 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2440 loss: 1.2440 2022/06/28 19:49:51 - mmengine - INFO - Epoch(train) [90][220/3757] lr: 1.000e-04 eta: 3:01:47 time: 0.212 data_time: 0.008 memory: 5148 grad_norm: 10.0441 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0909 loss: 1.0909 2022/06/28 19:49:56 - mmengine - INFO - Epoch(train) [90][240/3757] lr: 1.000e-04 eta: 3:01:42 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 11.4763 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0466 loss: 1.0466 2022/06/28 19:50:01 - mmengine - INFO - Epoch(train) [90][260/3757] lr: 1.000e-04 eta: 3:01:36 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 8.5975 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1701 loss: 1.1701 2022/06/28 19:50:07 - mmengine - INFO - Epoch(train) [90][280/3757] lr: 1.000e-04 eta: 3:01:31 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 8.4657 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2967 loss: 1.2967 2022/06/28 19:50:12 - mmengine - INFO - Epoch(train) [90][300/3757] lr: 1.000e-04 eta: 3:01:26 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 8.5301 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8675 loss: 0.8675 2022/06/28 19:50:18 - mmengine - INFO - Epoch(train) [90][320/3757] lr: 1.000e-04 eta: 3:01:21 time: 0.932 data_time: 0.018 memory: 5148 grad_norm: 8.5011 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8715 loss: 0.8715 2022/06/28 19:50:23 - mmengine - INFO - Epoch(train) [90][340/3757] lr: 1.000e-04 eta: 3:01:15 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 8.4706 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8175 loss: 0.8175 2022/06/28 19:50:28 - mmengine - INFO - Epoch(train) [90][360/3757] lr: 1.000e-04 eta: 3:01:10 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 10.4728 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2575 loss: 1.2575 2022/06/28 19:50:34 - mmengine - INFO - Epoch(train) [90][380/3757] lr: 1.000e-04 eta: 3:01:05 time: 0.304 data_time: 0.010 memory: 5148 grad_norm: 7.8313 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0558 loss: 1.0558 2022/06/28 19:50:39 - mmengine - INFO - Epoch(train) [90][400/3757] lr: 1.000e-04 eta: 3:00:59 time: 0.205 data_time: 0.012 memory: 5148 grad_norm: 8.9696 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1756 loss: 1.1756 2022/06/28 19:50:44 - mmengine - INFO - Epoch(train) [90][420/3757] lr: 1.000e-04 eta: 3:00:54 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 10.4322 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3263 loss: 1.3263 2022/06/28 19:50:49 - mmengine - INFO - Epoch(train) [90][440/3757] lr: 1.000e-04 eta: 3:00:49 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 9.0398 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3702 loss: 1.3702 2022/06/28 19:50:55 - mmengine - INFO - Epoch(train) [90][460/3757] lr: 1.000e-04 eta: 3:00:43 time: 0.219 data_time: 0.007 memory: 5148 grad_norm: 10.3675 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1617 loss: 1.1617 2022/06/28 19:51:00 - mmengine - INFO - Epoch(train) [90][480/3757] lr: 1.000e-04 eta: 3:00:38 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 8.8934 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7883 loss: 1.7883 2022/06/28 19:51:05 - mmengine - INFO - Epoch(train) [90][500/3757] lr: 1.000e-04 eta: 3:00:33 time: 0.211 data_time: 0.011 memory: 5148 grad_norm: 9.8096 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2336 loss: 1.2336 2022/06/28 19:51:11 - mmengine - INFO - Epoch(train) [90][520/3757] lr: 1.000e-04 eta: 3:00:27 time: 0.239 data_time: 0.011 memory: 5148 grad_norm: 9.8319 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3479 loss: 1.3479 2022/06/28 19:51:16 - mmengine - INFO - Epoch(train) [90][540/3757] lr: 1.000e-04 eta: 3:00:22 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 10.4504 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0035 loss: 1.0035 2022/06/28 19:51:22 - mmengine - INFO - Epoch(train) [90][560/3757] lr: 1.000e-04 eta: 3:00:17 time: 0.938 data_time: 0.008 memory: 5148 grad_norm: 10.2196 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9124 loss: 1.9124 2022/06/28 19:51:28 - mmengine - INFO - Epoch(train) [90][580/3757] lr: 1.000e-04 eta: 3:00:12 time: 1.487 data_time: 0.007 memory: 5148 grad_norm: 9.9654 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4438 loss: 1.4438 2022/06/28 19:51:32 - mmengine - INFO - Epoch(train) [90][600/3757] lr: 1.000e-04 eta: 3:00:06 time: 0.198 data_time: 0.009 memory: 5148 grad_norm: 10.0819 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2128 loss: 1.2128 2022/06/28 19:51:38 - mmengine - INFO - Epoch(train) [90][620/3757] lr: 1.000e-04 eta: 3:00:01 time: 0.214 data_time: 0.013 memory: 5148 grad_norm: 9.0993 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5341 loss: 1.5341 2022/06/28 19:51:39 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 19:51:43 - mmengine - INFO - Epoch(train) [90][640/3757] lr: 1.000e-04 eta: 2:59:56 time: 0.234 data_time: 0.016 memory: 5148 grad_norm: 9.4207 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4479 loss: 1.4479 2022/06/28 19:51:48 - mmengine - INFO - Epoch(train) [90][660/3757] lr: 1.000e-04 eta: 2:59:50 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 9.8911 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1935 loss: 1.1935 2022/06/28 19:51:54 - mmengine - INFO - Epoch(train) [90][680/3757] lr: 1.000e-04 eta: 2:59:45 time: 0.224 data_time: 0.007 memory: 5148 grad_norm: 8.5095 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1439 loss: 1.1439 2022/06/28 19:51:59 - mmengine - INFO - Epoch(train) [90][700/3757] lr: 1.000e-04 eta: 2:59:40 time: 0.437 data_time: 0.008 memory: 5148 grad_norm: 8.8249 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9785 loss: 0.9785 2022/06/28 19:52:05 - mmengine - INFO - Epoch(train) [90][720/3757] lr: 1.000e-04 eta: 2:59:35 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 7.9290 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0092 loss: 1.0092 2022/06/28 19:52:10 - mmengine - INFO - Epoch(train) [90][740/3757] lr: 1.000e-04 eta: 2:59:29 time: 0.225 data_time: 0.016 memory: 5148 grad_norm: 8.8038 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0308 loss: 1.0308 2022/06/28 19:52:15 - mmengine - INFO - Epoch(train) [90][760/3757] lr: 1.000e-04 eta: 2:59:24 time: 0.756 data_time: 0.013 memory: 5148 grad_norm: 8.8294 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8625 loss: 0.8625 2022/06/28 19:52:20 - mmengine - INFO - Epoch(train) [90][780/3757] lr: 1.000e-04 eta: 2:59:18 time: 0.212 data_time: 0.006 memory: 5148 grad_norm: 9.1400 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0427 loss: 1.0427 2022/06/28 19:52:25 - mmengine - INFO - Epoch(train) [90][800/3757] lr: 1.000e-04 eta: 2:59:13 time: 0.202 data_time: 0.015 memory: 5148 grad_norm: 10.6534 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9629 loss: 0.9629 2022/06/28 19:52:31 - mmengine - INFO - Epoch(train) [90][820/3757] lr: 1.000e-04 eta: 2:59:08 time: 1.291 data_time: 0.007 memory: 5148 grad_norm: 9.5003 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3252 loss: 1.3252 2022/06/28 19:52:35 - mmengine - INFO - Epoch(train) [90][840/3757] lr: 1.000e-04 eta: 2:59:02 time: 0.216 data_time: 0.010 memory: 5148 grad_norm: 7.8995 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1049 loss: 1.1049 2022/06/28 19:52:40 - mmengine - INFO - Epoch(train) [90][860/3757] lr: 1.000e-04 eta: 2:58:57 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 9.5006 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2832 loss: 1.2832 2022/06/28 19:52:46 - mmengine - INFO - Epoch(train) [90][880/3757] lr: 1.000e-04 eta: 2:58:52 time: 0.726 data_time: 0.007 memory: 5148 grad_norm: 9.1271 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8618 loss: 0.8618 2022/06/28 19:52:52 - mmengine - INFO - Epoch(train) [90][900/3757] lr: 1.000e-04 eta: 2:58:47 time: 1.250 data_time: 0.007 memory: 5148 grad_norm: 8.0085 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0928 loss: 1.0928 2022/06/28 19:52:56 - mmengine - INFO - Epoch(train) [90][920/3757] lr: 1.000e-04 eta: 2:58:41 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 9.3735 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9503 loss: 0.9503 2022/06/28 19:53:02 - mmengine - INFO - Epoch(train) [90][940/3757] lr: 1.000e-04 eta: 2:58:36 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 7.2575 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1282 loss: 1.1282 2022/06/28 19:53:08 - mmengine - INFO - Epoch(train) [90][960/3757] lr: 1.000e-04 eta: 2:58:31 time: 0.223 data_time: 0.007 memory: 5148 grad_norm: 7.8355 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0450 loss: 1.0450 2022/06/28 19:53:12 - mmengine - INFO - Epoch(train) [90][980/3757] lr: 1.000e-04 eta: 2:58:25 time: 0.197 data_time: 0.009 memory: 5148 grad_norm: 9.9021 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2757 loss: 1.2757 2022/06/28 19:53:18 - mmengine - INFO - Epoch(train) [90][1000/3757] lr: 1.000e-04 eta: 2:58:20 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 9.9707 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0712 loss: 1.0712 2022/06/28 19:53:23 - mmengine - INFO - Epoch(train) [90][1020/3757] lr: 1.000e-04 eta: 2:58:15 time: 0.449 data_time: 0.007 memory: 5148 grad_norm: 8.8187 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0908 loss: 1.0908 2022/06/28 19:53:29 - mmengine - INFO - Epoch(train) [90][1040/3757] lr: 1.000e-04 eta: 2:58:09 time: 0.218 data_time: 0.007 memory: 5148 grad_norm: 10.3102 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1012 loss: 1.1012 2022/06/28 19:53:34 - mmengine - INFO - Epoch(train) [90][1060/3757] lr: 1.000e-04 eta: 2:58:04 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 8.9939 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7122 loss: 0.7122 2022/06/28 19:53:39 - mmengine - INFO - Epoch(train) [90][1080/3757] lr: 1.000e-04 eta: 2:57:59 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 10.7037 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8119 loss: 0.8119 2022/06/28 19:53:45 - mmengine - INFO - Epoch(train) [90][1100/3757] lr: 1.000e-04 eta: 2:57:53 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 8.2482 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1549 loss: 1.1549 2022/06/28 19:53:51 - mmengine - INFO - Epoch(train) [90][1120/3757] lr: 1.000e-04 eta: 2:57:48 time: 0.655 data_time: 0.010 memory: 5148 grad_norm: 9.1637 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0433 loss: 1.0433 2022/06/28 19:53:56 - mmengine - INFO - Epoch(train) [90][1140/3757] lr: 1.000e-04 eta: 2:57:43 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 11.1294 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1755 loss: 1.1755 2022/06/28 19:54:02 - mmengine - INFO - Epoch(train) [90][1160/3757] lr: 1.000e-04 eta: 2:57:38 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 7.8934 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1678 loss: 1.1678 2022/06/28 19:54:06 - mmengine - INFO - Epoch(train) [90][1180/3757] lr: 1.000e-04 eta: 2:57:32 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 8.1491 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2261 loss: 1.2261 2022/06/28 19:54:12 - mmengine - INFO - Epoch(train) [90][1200/3757] lr: 1.000e-04 eta: 2:57:27 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 10.2047 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3042 loss: 1.3042 2022/06/28 19:54:17 - mmengine - INFO - Epoch(train) [90][1220/3757] lr: 1.000e-04 eta: 2:57:22 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 9.3138 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0763 loss: 1.0763 2022/06/28 19:54:23 - mmengine - INFO - Epoch(train) [90][1240/3757] lr: 1.000e-04 eta: 2:57:16 time: 0.221 data_time: 0.016 memory: 5148 grad_norm: 9.5471 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2908 loss: 1.2908 2022/06/28 19:54:27 - mmengine - INFO - Epoch(train) [90][1260/3757] lr: 1.000e-04 eta: 2:57:11 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 9.9083 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4707 loss: 1.4707 2022/06/28 19:54:32 - mmengine - INFO - Epoch(train) [90][1280/3757] lr: 1.000e-04 eta: 2:57:06 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 10.3216 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9720 loss: 0.9720 2022/06/28 19:54:37 - mmengine - INFO - Epoch(train) [90][1300/3757] lr: 1.000e-04 eta: 2:57:00 time: 0.482 data_time: 0.006 memory: 5148 grad_norm: 10.1491 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2932 loss: 1.2932 2022/06/28 19:54:43 - mmengine - INFO - Epoch(train) [90][1320/3757] lr: 1.000e-04 eta: 2:56:55 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 9.1886 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1673 loss: 1.1673 2022/06/28 19:54:49 - mmengine - INFO - Epoch(train) [90][1340/3757] lr: 1.000e-04 eta: 2:56:50 time: 0.207 data_time: 0.009 memory: 5148 grad_norm: 10.3182 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6397 loss: 1.6397 2022/06/28 19:54:54 - mmengine - INFO - Epoch(train) [90][1360/3757] lr: 1.000e-04 eta: 2:56:44 time: 0.613 data_time: 0.007 memory: 5148 grad_norm: 8.8505 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1188 loss: 1.1188 2022/06/28 19:55:00 - mmengine - INFO - Epoch(train) [90][1380/3757] lr: 1.000e-04 eta: 2:56:39 time: 0.197 data_time: 0.006 memory: 5148 grad_norm: 8.8178 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0702 loss: 1.0702 2022/06/28 19:55:06 - mmengine - INFO - Epoch(train) [90][1400/3757] lr: 1.000e-04 eta: 2:56:34 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 8.1784 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3093 loss: 1.3093 2022/06/28 19:55:10 - mmengine - INFO - Epoch(train) [90][1420/3757] lr: 1.000e-04 eta: 2:56:29 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 6.9730 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0097 loss: 1.0097 2022/06/28 19:55:15 - mmengine - INFO - Epoch(train) [90][1440/3757] lr: 1.000e-04 eta: 2:56:23 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 8.0765 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2896 loss: 1.2896 2022/06/28 19:55:20 - mmengine - INFO - Epoch(train) [90][1460/3757] lr: 1.000e-04 eta: 2:56:18 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 10.8180 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9873 loss: 0.9873 2022/06/28 19:55:26 - mmengine - INFO - Epoch(train) [90][1480/3757] lr: 1.000e-04 eta: 2:56:13 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 8.5717 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2531 loss: 1.2531 2022/06/28 19:55:31 - mmengine - INFO - Epoch(train) [90][1500/3757] lr: 1.000e-04 eta: 2:56:07 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 7.8179 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2995 loss: 1.2995 2022/06/28 19:55:36 - mmengine - INFO - Epoch(train) [90][1520/3757] lr: 1.000e-04 eta: 2:56:02 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 9.8612 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1193 loss: 1.1193 2022/06/28 19:55:42 - mmengine - INFO - Epoch(train) [90][1540/3757] lr: 1.000e-04 eta: 2:55:57 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 9.2291 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4539 loss: 1.4539 2022/06/28 19:55:47 - mmengine - INFO - Epoch(train) [90][1560/3757] lr: 1.000e-04 eta: 2:55:51 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 10.2828 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8194 loss: 0.8194 2022/06/28 19:55:52 - mmengine - INFO - Epoch(train) [90][1580/3757] lr: 1.000e-04 eta: 2:55:46 time: 0.231 data_time: 0.007 memory: 5148 grad_norm: 8.8598 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3791 loss: 1.3791 2022/06/28 19:55:57 - mmengine - INFO - Epoch(train) [90][1600/3757] lr: 1.000e-04 eta: 2:55:41 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 10.6199 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9252 loss: 0.9252 2022/06/28 19:56:03 - mmengine - INFO - Epoch(train) [90][1620/3757] lr: 1.000e-04 eta: 2:55:35 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 10.4292 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4381 loss: 1.4381 2022/06/28 19:56:05 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 19:56:08 - mmengine - INFO - Epoch(train) [90][1640/3757] lr: 1.000e-04 eta: 2:55:30 time: 0.318 data_time: 0.008 memory: 5148 grad_norm: 8.7879 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4370 loss: 1.4370 2022/06/28 19:56:13 - mmengine - INFO - Epoch(train) [90][1660/3757] lr: 1.000e-04 eta: 2:55:25 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 8.5877 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8820 loss: 0.8820 2022/06/28 19:56:18 - mmengine - INFO - Epoch(train) [90][1680/3757] lr: 1.000e-04 eta: 2:55:19 time: 0.215 data_time: 0.011 memory: 5148 grad_norm: 9.2477 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3972 loss: 1.3972 2022/06/28 19:56:24 - mmengine - INFO - Epoch(train) [90][1700/3757] lr: 1.000e-04 eta: 2:55:14 time: 0.332 data_time: 0.014 memory: 5148 grad_norm: 7.7776 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7707 loss: 0.7707 2022/06/28 19:56:29 - mmengine - INFO - Epoch(train) [90][1720/3757] lr: 1.000e-04 eta: 2:55:09 time: 0.224 data_time: 0.008 memory: 5148 grad_norm: 9.5111 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1345 loss: 1.1345 2022/06/28 19:56:34 - mmengine - INFO - Epoch(train) [90][1740/3757] lr: 1.000e-04 eta: 2:55:04 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 9.1509 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4155 loss: 1.4155 2022/06/28 19:56:39 - mmengine - INFO - Epoch(train) [90][1760/3757] lr: 1.000e-04 eta: 2:54:58 time: 0.200 data_time: 0.018 memory: 5148 grad_norm: 7.8583 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9784 loss: 0.9784 2022/06/28 19:56:45 - mmengine - INFO - Epoch(train) [90][1780/3757] lr: 1.000e-04 eta: 2:54:53 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 8.9500 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3386 loss: 1.3386 2022/06/28 19:56:51 - mmengine - INFO - Epoch(train) [90][1800/3757] lr: 1.000e-04 eta: 2:54:48 time: 0.205 data_time: 0.006 memory: 5148 grad_norm: 9.9112 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2010 loss: 1.2010 2022/06/28 19:56:56 - mmengine - INFO - Epoch(train) [90][1820/3757] lr: 1.000e-04 eta: 2:54:42 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 9.8526 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2061 loss: 1.2061 2022/06/28 19:57:01 - mmengine - INFO - Epoch(train) [90][1840/3757] lr: 1.000e-04 eta: 2:54:37 time: 0.208 data_time: 0.014 memory: 5148 grad_norm: 8.7766 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1385 loss: 1.1385 2022/06/28 19:57:06 - mmengine - INFO - Epoch(train) [90][1860/3757] lr: 1.000e-04 eta: 2:54:32 time: 0.197 data_time: 0.014 memory: 5148 grad_norm: 8.1168 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5088 loss: 1.5088 2022/06/28 19:57:11 - mmengine - INFO - Epoch(train) [90][1880/3757] lr: 1.000e-04 eta: 2:54:26 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 9.4131 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2219 loss: 1.2219 2022/06/28 19:57:17 - mmengine - INFO - Epoch(train) [90][1900/3757] lr: 1.000e-04 eta: 2:54:21 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 8.9018 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3076 loss: 1.3076 2022/06/28 19:57:22 - mmengine - INFO - Epoch(train) [90][1920/3757] lr: 1.000e-04 eta: 2:54:16 time: 0.200 data_time: 0.013 memory: 5148 grad_norm: 9.5087 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.9570 loss: 0.9570 2022/06/28 19:57:27 - mmengine - INFO - Epoch(train) [90][1940/3757] lr: 1.000e-04 eta: 2:54:10 time: 0.201 data_time: 0.012 memory: 5148 grad_norm: 9.0904 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4810 loss: 1.4810 2022/06/28 19:57:32 - mmengine - INFO - Epoch(train) [90][1960/3757] lr: 1.000e-04 eta: 2:54:05 time: 0.231 data_time: 0.008 memory: 5148 grad_norm: 7.8053 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0596 loss: 1.0596 2022/06/28 19:57:38 - mmengine - INFO - Epoch(train) [90][1980/3757] lr: 1.000e-04 eta: 2:54:00 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 9.9650 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3274 loss: 1.3274 2022/06/28 19:57:43 - mmengine - INFO - Epoch(train) [90][2000/3757] lr: 1.000e-04 eta: 2:53:54 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 10.3045 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8424 loss: 0.8424 2022/06/28 19:57:48 - mmengine - INFO - Epoch(train) [90][2020/3757] lr: 1.000e-04 eta: 2:53:49 time: 0.213 data_time: 0.008 memory: 5148 grad_norm: 8.8710 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1486 loss: 1.1486 2022/06/28 19:57:54 - mmengine - INFO - Epoch(train) [90][2040/3757] lr: 1.000e-04 eta: 2:53:44 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 8.6245 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2517 loss: 1.2517 2022/06/28 19:57:58 - mmengine - INFO - Epoch(train) [90][2060/3757] lr: 1.000e-04 eta: 2:53:39 time: 0.204 data_time: 0.017 memory: 5148 grad_norm: 9.5192 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1921 loss: 1.1921 2022/06/28 19:58:04 - mmengine - INFO - Epoch(train) [90][2080/3757] lr: 1.000e-04 eta: 2:53:33 time: 0.212 data_time: 0.015 memory: 5148 grad_norm: 8.8552 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0835 loss: 1.0835 2022/06/28 19:58:10 - mmengine - INFO - Epoch(train) [90][2100/3757] lr: 1.000e-04 eta: 2:53:28 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 8.2785 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7714 loss: 0.7714 2022/06/28 19:58:15 - mmengine - INFO - Epoch(train) [90][2120/3757] lr: 1.000e-04 eta: 2:53:23 time: 0.221 data_time: 0.008 memory: 5148 grad_norm: 7.9273 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0566 loss: 1.0566 2022/06/28 19:58:20 - mmengine - INFO - Epoch(train) [90][2140/3757] lr: 1.000e-04 eta: 2:53:17 time: 0.206 data_time: 0.009 memory: 5148 grad_norm: 10.7953 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3219 loss: 1.3219 2022/06/28 19:58:26 - mmengine - INFO - Epoch(train) [90][2160/3757] lr: 1.000e-04 eta: 2:53:12 time: 0.245 data_time: 0.061 memory: 5148 grad_norm: 8.6489 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5409 loss: 1.5409 2022/06/28 19:58:30 - mmengine - INFO - Epoch(train) [90][2180/3757] lr: 1.000e-04 eta: 2:53:07 time: 0.200 data_time: 0.012 memory: 5148 grad_norm: 9.1421 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1080 loss: 1.1080 2022/06/28 19:58:36 - mmengine - INFO - Epoch(train) [90][2200/3757] lr: 1.000e-04 eta: 2:53:01 time: 0.214 data_time: 0.011 memory: 5148 grad_norm: 9.4531 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1905 loss: 1.1905 2022/06/28 19:58:41 - mmengine - INFO - Epoch(train) [90][2220/3757] lr: 1.000e-04 eta: 2:52:56 time: 0.206 data_time: 0.014 memory: 5148 grad_norm: 9.5005 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1408 loss: 1.1408 2022/06/28 19:58:47 - mmengine - INFO - Epoch(train) [90][2240/3757] lr: 1.000e-04 eta: 2:52:51 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 7.3733 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4547 loss: 1.4547 2022/06/28 19:58:52 - mmengine - INFO - Epoch(train) [90][2260/3757] lr: 1.000e-04 eta: 2:52:45 time: 0.215 data_time: 0.011 memory: 5148 grad_norm: 7.9151 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9041 loss: 0.9041 2022/06/28 19:58:57 - mmengine - INFO - Epoch(train) [90][2280/3757] lr: 1.000e-04 eta: 2:52:40 time: 0.201 data_time: 0.013 memory: 5148 grad_norm: 10.2670 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9771 loss: 0.9771 2022/06/28 19:59:02 - mmengine - INFO - Epoch(train) [90][2300/3757] lr: 1.000e-04 eta: 2:52:35 time: 0.212 data_time: 0.014 memory: 5148 grad_norm: 8.3742 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.2554 loss: 1.2554 2022/06/28 19:59:08 - mmengine - INFO - Epoch(train) [90][2320/3757] lr: 1.000e-04 eta: 2:52:30 time: 0.210 data_time: 0.024 memory: 5148 grad_norm: 8.8705 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4535 loss: 1.4535 2022/06/28 19:59:13 - mmengine - INFO - Epoch(train) [90][2340/3757] lr: 1.000e-04 eta: 2:52:24 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 8.2588 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7300 loss: 0.7300 2022/06/28 19:59:18 - mmengine - INFO - Epoch(train) [90][2360/3757] lr: 1.000e-04 eta: 2:52:19 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 9.5399 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1076 loss: 1.1076 2022/06/28 19:59:23 - mmengine - INFO - Epoch(train) [90][2380/3757] lr: 1.000e-04 eta: 2:52:14 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 8.7346 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0793 loss: 1.0793 2022/06/28 19:59:28 - mmengine - INFO - Epoch(train) [90][2400/3757] lr: 1.000e-04 eta: 2:52:08 time: 0.208 data_time: 0.011 memory: 5148 grad_norm: 8.7525 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7547 loss: 0.7547 2022/06/28 19:59:34 - mmengine - INFO - Epoch(train) [90][2420/3757] lr: 1.000e-04 eta: 2:52:03 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 9.1385 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1555 loss: 1.1555 2022/06/28 19:59:39 - mmengine - INFO - Epoch(train) [90][2440/3757] lr: 1.000e-04 eta: 2:51:58 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 9.3111 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3417 loss: 1.3417 2022/06/28 19:59:45 - mmengine - INFO - Epoch(train) [90][2460/3757] lr: 1.000e-04 eta: 2:51:52 time: 0.228 data_time: 0.007 memory: 5148 grad_norm: 9.8581 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4004 loss: 1.4004 2022/06/28 19:59:50 - mmengine - INFO - Epoch(train) [90][2480/3757] lr: 1.000e-04 eta: 2:51:47 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 9.3637 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4047 loss: 1.4047 2022/06/28 19:59:55 - mmengine - INFO - Epoch(train) [90][2500/3757] lr: 1.000e-04 eta: 2:51:42 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 10.6663 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4653 loss: 1.4653 2022/06/28 20:00:01 - mmengine - INFO - Epoch(train) [90][2520/3757] lr: 1.000e-04 eta: 2:51:36 time: 0.506 data_time: 0.007 memory: 5148 grad_norm: 11.1425 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3563 loss: 1.3563 2022/06/28 20:00:06 - mmengine - INFO - Epoch(train) [90][2540/3757] lr: 1.000e-04 eta: 2:51:31 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 9.0405 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1445 loss: 1.1445 2022/06/28 20:00:12 - mmengine - INFO - Epoch(train) [90][2560/3757] lr: 1.000e-04 eta: 2:51:26 time: 0.206 data_time: 0.009 memory: 5148 grad_norm: 8.9385 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3830 loss: 1.3830 2022/06/28 20:00:17 - mmengine - INFO - Epoch(train) [90][2580/3757] lr: 1.000e-04 eta: 2:51:21 time: 0.232 data_time: 0.008 memory: 5148 grad_norm: 11.7956 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.2154 loss: 1.2154 2022/06/28 20:00:22 - mmengine - INFO - Epoch(train) [90][2600/3757] lr: 1.000e-04 eta: 2:51:15 time: 0.214 data_time: 0.008 memory: 5148 grad_norm: 9.0641 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2880 loss: 1.2880 2022/06/28 20:00:28 - mmengine - INFO - Epoch(train) [90][2620/3757] lr: 1.000e-04 eta: 2:51:10 time: 0.201 data_time: 0.018 memory: 5148 grad_norm: 9.9486 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2854 loss: 1.2854 2022/06/28 20:00:29 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 20:00:33 - mmengine - INFO - Epoch(train) [90][2640/3757] lr: 1.000e-04 eta: 2:51:05 time: 0.224 data_time: 0.021 memory: 5148 grad_norm: 10.0904 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0162 loss: 1.0162 2022/06/28 20:00:38 - mmengine - INFO - Epoch(train) [90][2660/3757] lr: 1.000e-04 eta: 2:50:59 time: 0.203 data_time: 0.012 memory: 5148 grad_norm: 9.5329 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0271 loss: 1.0271 2022/06/28 20:00:43 - mmengine - INFO - Epoch(train) [90][2680/3757] lr: 1.000e-04 eta: 2:50:54 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 8.6235 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2006 loss: 1.2006 2022/06/28 20:00:49 - mmengine - INFO - Epoch(train) [90][2700/3757] lr: 1.000e-04 eta: 2:50:49 time: 0.250 data_time: 0.014 memory: 5148 grad_norm: 9.9269 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1966 loss: 1.1966 2022/06/28 20:00:54 - mmengine - INFO - Epoch(train) [90][2720/3757] lr: 1.000e-04 eta: 2:50:43 time: 0.211 data_time: 0.008 memory: 5148 grad_norm: 9.8214 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9668 loss: 0.9668 2022/06/28 20:00:58 - mmengine - INFO - Epoch(train) [90][2740/3757] lr: 1.000e-04 eta: 2:50:38 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 9.6877 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2281 loss: 1.2281 2022/06/28 20:01:04 - mmengine - INFO - Epoch(train) [90][2760/3757] lr: 1.000e-04 eta: 2:50:33 time: 0.210 data_time: 0.012 memory: 5148 grad_norm: 7.9928 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9111 loss: 0.9111 2022/06/28 20:01:09 - mmengine - INFO - Epoch(train) [90][2780/3757] lr: 1.000e-04 eta: 2:50:27 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 10.2673 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1585 loss: 1.1585 2022/06/28 20:01:15 - mmengine - INFO - Epoch(train) [90][2800/3757] lr: 1.000e-04 eta: 2:50:22 time: 0.215 data_time: 0.009 memory: 5148 grad_norm: 9.9794 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0734 loss: 1.0734 2022/06/28 20:01:20 - mmengine - INFO - Epoch(train) [90][2820/3757] lr: 1.000e-04 eta: 2:50:17 time: 1.133 data_time: 0.007 memory: 5148 grad_norm: 10.0257 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0438 loss: 1.0438 2022/06/28 20:01:25 - mmengine - INFO - Epoch(train) [90][2840/3757] lr: 1.000e-04 eta: 2:50:11 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 8.6122 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4049 loss: 1.4049 2022/06/28 20:01:30 - mmengine - INFO - Epoch(train) [90][2860/3757] lr: 1.000e-04 eta: 2:50:06 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 7.7873 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9954 loss: 0.9954 2022/06/28 20:01:36 - mmengine - INFO - Epoch(train) [90][2880/3757] lr: 1.000e-04 eta: 2:50:01 time: 0.539 data_time: 0.008 memory: 5148 grad_norm: 10.0083 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0708 loss: 1.0708 2022/06/28 20:01:41 - mmengine - INFO - Epoch(train) [90][2900/3757] lr: 1.000e-04 eta: 2:49:56 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 9.8938 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9766 loss: 0.9766 2022/06/28 20:01:46 - mmengine - INFO - Epoch(train) [90][2920/3757] lr: 1.000e-04 eta: 2:49:50 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 12.1286 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1889 loss: 1.1889 2022/06/28 20:01:52 - mmengine - INFO - Epoch(train) [90][2940/3757] lr: 1.000e-04 eta: 2:49:45 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 9.4090 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2928 loss: 1.2928 2022/06/28 20:01:57 - mmengine - INFO - Epoch(train) [90][2960/3757] lr: 1.000e-04 eta: 2:49:40 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 9.0847 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.2091 loss: 1.2091 2022/06/28 20:02:02 - mmengine - INFO - Epoch(train) [90][2980/3757] lr: 1.000e-04 eta: 2:49:34 time: 0.219 data_time: 0.012 memory: 5148 grad_norm: 10.3032 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1382 loss: 1.1382 2022/06/28 20:02:07 - mmengine - INFO - Epoch(train) [90][3000/3757] lr: 1.000e-04 eta: 2:49:29 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 9.2476 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1867 loss: 1.1867 2022/06/28 20:02:13 - mmengine - INFO - Epoch(train) [90][3020/3757] lr: 1.000e-04 eta: 2:49:24 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 9.8003 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2564 loss: 1.2564 2022/06/28 20:02:17 - mmengine - INFO - Epoch(train) [90][3040/3757] lr: 1.000e-04 eta: 2:49:18 time: 0.209 data_time: 0.009 memory: 5148 grad_norm: 9.9396 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.0621 loss: 1.0621 2022/06/28 20:02:23 - mmengine - INFO - Epoch(train) [90][3060/3757] lr: 1.000e-04 eta: 2:49:13 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 9.6346 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9995 loss: 0.9995 2022/06/28 20:02:28 - mmengine - INFO - Epoch(train) [90][3080/3757] lr: 1.000e-04 eta: 2:49:08 time: 0.213 data_time: 0.008 memory: 5148 grad_norm: 8.8418 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2013 loss: 1.2013 2022/06/28 20:02:33 - mmengine - INFO - Epoch(train) [90][3100/3757] lr: 1.000e-04 eta: 2:49:02 time: 0.207 data_time: 0.012 memory: 5148 grad_norm: 9.7866 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3282 loss: 1.3282 2022/06/28 20:02:39 - mmengine - INFO - Epoch(train) [90][3120/3757] lr: 1.000e-04 eta: 2:48:57 time: 0.223 data_time: 0.008 memory: 5148 grad_norm: 8.8752 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2064 loss: 1.2064 2022/06/28 20:02:43 - mmengine - INFO - Epoch(train) [90][3140/3757] lr: 1.000e-04 eta: 2:48:52 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 8.4177 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0781 loss: 1.0781 2022/06/28 20:02:49 - mmengine - INFO - Epoch(train) [90][3160/3757] lr: 1.000e-04 eta: 2:48:46 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 10.6497 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3950 loss: 1.3950 2022/06/28 20:02:54 - mmengine - INFO - Epoch(train) [90][3180/3757] lr: 1.000e-04 eta: 2:48:41 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 9.7142 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.3869 loss: 1.3869 2022/06/28 20:03:00 - mmengine - INFO - Epoch(train) [90][3200/3757] lr: 1.000e-04 eta: 2:48:36 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 9.5267 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0574 loss: 1.0574 2022/06/28 20:03:05 - mmengine - INFO - Epoch(train) [90][3220/3757] lr: 1.000e-04 eta: 2:48:30 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 8.2221 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0896 loss: 1.0896 2022/06/28 20:03:10 - mmengine - INFO - Epoch(train) [90][3240/3757] lr: 1.000e-04 eta: 2:48:25 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 9.6758 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7112 loss: 0.7112 2022/06/28 20:03:16 - mmengine - INFO - Epoch(train) [90][3260/3757] lr: 1.000e-04 eta: 2:48:20 time: 0.224 data_time: 0.008 memory: 5148 grad_norm: 9.8793 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0412 loss: 1.0412 2022/06/28 20:03:21 - mmengine - INFO - Epoch(train) [90][3280/3757] lr: 1.000e-04 eta: 2:48:15 time: 0.198 data_time: 0.014 memory: 5148 grad_norm: 10.1026 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0538 loss: 1.0538 2022/06/28 20:03:25 - mmengine - INFO - Epoch(train) [90][3300/3757] lr: 1.000e-04 eta: 2:48:09 time: 0.210 data_time: 0.011 memory: 5148 grad_norm: 8.8903 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0128 loss: 1.0128 2022/06/28 20:03:31 - mmengine - INFO - Epoch(train) [90][3320/3757] lr: 1.000e-04 eta: 2:48:04 time: 0.286 data_time: 0.008 memory: 5148 grad_norm: 9.5504 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3027 loss: 1.3027 2022/06/28 20:03:37 - mmengine - INFO - Epoch(train) [90][3340/3757] lr: 1.000e-04 eta: 2:47:59 time: 0.204 data_time: 0.018 memory: 5148 grad_norm: 9.6936 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6019 loss: 1.6019 2022/06/28 20:03:42 - mmengine - INFO - Epoch(train) [90][3360/3757] lr: 1.000e-04 eta: 2:47:53 time: 0.202 data_time: 0.013 memory: 5148 grad_norm: 9.1410 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1186 loss: 1.1186 2022/06/28 20:03:47 - mmengine - INFO - Epoch(train) [90][3380/3757] lr: 1.000e-04 eta: 2:47:48 time: 0.209 data_time: 0.012 memory: 5148 grad_norm: 8.6437 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1803 loss: 1.1803 2022/06/28 20:03:52 - mmengine - INFO - Epoch(train) [90][3400/3757] lr: 1.000e-04 eta: 2:47:43 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 7.7378 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0875 loss: 1.0875 2022/06/28 20:03:58 - mmengine - INFO - Epoch(train) [90][3420/3757] lr: 1.000e-04 eta: 2:47:37 time: 0.211 data_time: 0.012 memory: 5148 grad_norm: 10.6388 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8195 loss: 0.8195 2022/06/28 20:04:03 - mmengine - INFO - Epoch(train) [90][3440/3757] lr: 1.000e-04 eta: 2:47:32 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 8.6744 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9040 loss: 0.9040 2022/06/28 20:04:08 - mmengine - INFO - Epoch(train) [90][3460/3757] lr: 1.000e-04 eta: 2:47:27 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 10.7977 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9561 loss: 0.9561 2022/06/28 20:04:13 - mmengine - INFO - Epoch(train) [90][3480/3757] lr: 1.000e-04 eta: 2:47:21 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 8.4568 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1253 loss: 1.1253 2022/06/28 20:04:19 - mmengine - INFO - Epoch(train) [90][3500/3757] lr: 1.000e-04 eta: 2:47:16 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 7.5268 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8493 loss: 0.8493 2022/06/28 20:04:25 - mmengine - INFO - Epoch(train) [90][3520/3757] lr: 1.000e-04 eta: 2:47:11 time: 0.218 data_time: 0.007 memory: 5148 grad_norm: 9.1605 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1998 loss: 1.1998 2022/06/28 20:04:29 - mmengine - INFO - Epoch(train) [90][3540/3757] lr: 1.000e-04 eta: 2:47:05 time: 0.229 data_time: 0.008 memory: 5148 grad_norm: 9.9004 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9526 loss: 0.9526 2022/06/28 20:04:35 - mmengine - INFO - Epoch(train) [90][3560/3757] lr: 1.000e-04 eta: 2:47:00 time: 0.207 data_time: 0.015 memory: 5148 grad_norm: 8.8018 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1111 loss: 1.1111 2022/06/28 20:04:40 - mmengine - INFO - Epoch(train) [90][3580/3757] lr: 1.000e-04 eta: 2:46:55 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 7.8041 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1072 loss: 1.1072 2022/06/28 20:04:46 - mmengine - INFO - Epoch(train) [90][3600/3757] lr: 1.000e-04 eta: 2:46:50 time: 0.219 data_time: 0.007 memory: 5148 grad_norm: 8.4791 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3042 loss: 1.3042 2022/06/28 20:04:52 - mmengine - INFO - Epoch(train) [90][3620/3757] lr: 1.000e-04 eta: 2:46:44 time: 0.217 data_time: 0.008 memory: 5148 grad_norm: 8.8148 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3033 loss: 1.3033 2022/06/28 20:04:53 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 20:04:57 - mmengine - INFO - Epoch(train) [90][3640/3757] lr: 1.000e-04 eta: 2:46:39 time: 0.214 data_time: 0.014 memory: 5148 grad_norm: 8.8904 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1628 loss: 1.1628 2022/06/28 20:05:03 - mmengine - INFO - Epoch(train) [90][3660/3757] lr: 1.000e-04 eta: 2:46:34 time: 0.947 data_time: 0.007 memory: 5148 grad_norm: 8.8121 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9551 loss: 0.9551 2022/06/28 20:05:08 - mmengine - INFO - Epoch(train) [90][3680/3757] lr: 1.000e-04 eta: 2:46:28 time: 0.232 data_time: 0.012 memory: 5148 grad_norm: 9.0983 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9363 loss: 0.9363 2022/06/28 20:05:13 - mmengine - INFO - Epoch(train) [90][3700/3757] lr: 1.000e-04 eta: 2:46:23 time: 0.210 data_time: 0.022 memory: 5148 grad_norm: 10.6127 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0737 loss: 1.0737 2022/06/28 20:05:19 - mmengine - INFO - Epoch(train) [90][3720/3757] lr: 1.000e-04 eta: 2:46:18 time: 0.223 data_time: 0.016 memory: 5148 grad_norm: 9.0245 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2534 loss: 1.2534 2022/06/28 20:05:24 - mmengine - INFO - Epoch(train) [90][3740/3757] lr: 1.000e-04 eta: 2:46:13 time: 0.573 data_time: 0.008 memory: 5148 grad_norm: 8.4693 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0782 loss: 1.0782 2022/06/28 20:05:27 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 20:05:27 - mmengine - INFO - Saving checkpoint at 90 epochs 2022/06/28 20:05:37 - mmengine - INFO - Epoch(val) [90][20/310] eta: 0:01:14 time: 0.387 data_time: 0.311 memory: 5148 2022/06/28 20:05:42 - mmengine - INFO - Epoch(val) [90][40/310] eta: 0:00:58 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 20:05:48 - mmengine - INFO - Epoch(val) [90][60/310] eta: 0:01:00 time: 0.301 data_time: 0.224 memory: 1367 2022/06/28 20:05:52 - mmengine - INFO - Epoch(val) [90][80/310] eta: 0:00:54 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 20:05:58 - mmengine - INFO - Epoch(val) [90][100/310] eta: 0:00:45 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 20:06:03 - mmengine - INFO - Epoch(val) [90][120/310] eta: 0:00:53 time: 0.078 data_time: 0.005 memory: 1367 2022/06/28 20:06:08 - mmengine - INFO - Epoch(val) [90][140/310] eta: 0:00:35 time: 0.148 data_time: 0.070 memory: 1367 2022/06/28 20:06:14 - mmengine - INFO - Epoch(val) [90][160/310] eta: 0:00:30 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 20:06:18 - mmengine - INFO - Epoch(val) [90][180/310] eta: 0:00:29 time: 0.090 data_time: 0.011 memory: 1367 2022/06/28 20:06:24 - mmengine - INFO - Epoch(val) [90][200/310] eta: 0:00:28 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 20:06:29 - mmengine - INFO - Epoch(val) [90][220/310] eta: 0:00:18 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 20:06:35 - mmengine - INFO - Epoch(val) [90][240/310] eta: 0:00:15 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 20:06:39 - mmengine - INFO - Epoch(val) [90][260/310] eta: 0:00:10 time: 0.085 data_time: 0.008 memory: 1367 2022/06/28 20:06:44 - mmengine - INFO - Epoch(val) [90][280/310] eta: 0:00:06 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 20:06:49 - mmengine - INFO - Epoch(val) [90][300/310] eta: 0:00:01 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 20:06:52 - mmengine - INFO - Epoch(val) [90][310/310] acc/top1: 0.6602 acc/top5: 0.8633 acc/mean1: 0.6601 2022/06/28 20:07:01 - mmengine - INFO - Epoch(train) [91][20/3757] lr: 1.000e-04 eta: 2:46:03 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 7.1345 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0256 loss: 1.0256 2022/06/28 20:07:06 - mmengine - INFO - Epoch(train) [91][40/3757] lr: 1.000e-04 eta: 2:45:58 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 8.0209 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9698 loss: 0.9698 2022/06/28 20:07:12 - mmengine - INFO - Epoch(train) [91][60/3757] lr: 1.000e-04 eta: 2:45:52 time: 0.213 data_time: 0.008 memory: 5148 grad_norm: 8.7248 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3720 loss: 1.3720 2022/06/28 20:07:17 - mmengine - INFO - Epoch(train) [91][80/3757] lr: 1.000e-04 eta: 2:45:47 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 9.7298 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8482 loss: 0.8482 2022/06/28 20:07:23 - mmengine - INFO - Epoch(train) [91][100/3757] lr: 1.000e-04 eta: 2:45:42 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 8.5529 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1117 loss: 1.1117 2022/06/28 20:07:27 - mmengine - INFO - Epoch(train) [91][120/3757] lr: 1.000e-04 eta: 2:45:36 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 8.2632 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9221 loss: 0.9221 2022/06/28 20:07:33 - mmengine - INFO - Epoch(train) [91][140/3757] lr: 1.000e-04 eta: 2:45:31 time: 0.201 data_time: 0.016 memory: 5148 grad_norm: 10.0706 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3725 loss: 1.3725 2022/06/28 20:07:39 - mmengine - INFO - Epoch(train) [91][160/3757] lr: 1.000e-04 eta: 2:45:26 time: 0.223 data_time: 0.007 memory: 5148 grad_norm: 7.7774 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4486 loss: 1.4486 2022/06/28 20:07:43 - mmengine - INFO - Epoch(train) [91][180/3757] lr: 1.000e-04 eta: 2:45:20 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 7.8678 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4176 loss: 1.4176 2022/06/28 20:07:49 - mmengine - INFO - Epoch(train) [91][200/3757] lr: 1.000e-04 eta: 2:45:15 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 9.5460 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1019 loss: 1.1019 2022/06/28 20:07:55 - mmengine - INFO - Epoch(train) [91][220/3757] lr: 1.000e-04 eta: 2:45:10 time: 0.417 data_time: 0.008 memory: 5148 grad_norm: 9.1579 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1218 loss: 1.1218 2022/06/28 20:08:00 - mmengine - INFO - Epoch(train) [91][240/3757] lr: 1.000e-04 eta: 2:45:04 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 9.1881 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0359 loss: 1.0359 2022/06/28 20:08:06 - mmengine - INFO - Epoch(train) [91][260/3757] lr: 1.000e-04 eta: 2:44:59 time: 0.225 data_time: 0.022 memory: 5148 grad_norm: 9.2553 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1088 loss: 1.1088 2022/06/28 20:08:11 - mmengine - INFO - Epoch(train) [91][280/3757] lr: 1.000e-04 eta: 2:44:54 time: 0.368 data_time: 0.008 memory: 5148 grad_norm: 7.8689 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0785 loss: 1.0785 2022/06/28 20:08:16 - mmengine - INFO - Epoch(train) [91][300/3757] lr: 1.000e-04 eta: 2:44:49 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 10.1370 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2962 loss: 1.2962 2022/06/28 20:08:22 - mmengine - INFO - Epoch(train) [91][320/3757] lr: 1.000e-04 eta: 2:44:43 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 9.5525 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 0.9396 loss: 0.9396 2022/06/28 20:08:27 - mmengine - INFO - Epoch(train) [91][340/3757] lr: 1.000e-04 eta: 2:44:38 time: 0.233 data_time: 0.008 memory: 5148 grad_norm: 8.9634 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2888 loss: 1.2888 2022/06/28 20:08:32 - mmengine - INFO - Epoch(train) [91][360/3757] lr: 1.000e-04 eta: 2:44:33 time: 0.203 data_time: 0.014 memory: 5148 grad_norm: 8.8991 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2722 loss: 1.2722 2022/06/28 20:08:38 - mmengine - INFO - Epoch(train) [91][380/3757] lr: 1.000e-04 eta: 2:44:27 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 9.3187 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8050 loss: 0.8050 2022/06/28 20:08:43 - mmengine - INFO - Epoch(train) [91][400/3757] lr: 1.000e-04 eta: 2:44:22 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 10.1093 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1156 loss: 1.1156 2022/06/28 20:08:49 - mmengine - INFO - Epoch(train) [91][420/3757] lr: 1.000e-04 eta: 2:44:17 time: 0.207 data_time: 0.011 memory: 5148 grad_norm: 9.1361 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4662 loss: 1.4662 2022/06/28 20:08:54 - mmengine - INFO - Epoch(train) [91][440/3757] lr: 1.000e-04 eta: 2:44:11 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 8.1668 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0861 loss: 1.0861 2022/06/28 20:08:59 - mmengine - INFO - Epoch(train) [91][460/3757] lr: 1.000e-04 eta: 2:44:06 time: 0.211 data_time: 0.011 memory: 5148 grad_norm: 9.7005 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9733 loss: 0.9733 2022/06/28 20:09:03 - mmengine - INFO - Epoch(train) [91][480/3757] lr: 1.000e-04 eta: 2:44:01 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 8.5284 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2895 loss: 1.2895 2022/06/28 20:09:09 - mmengine - INFO - Epoch(train) [91][500/3757] lr: 1.000e-04 eta: 2:43:55 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 9.6137 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7735 loss: 0.7735 2022/06/28 20:09:14 - mmengine - INFO - Epoch(train) [91][520/3757] lr: 1.000e-04 eta: 2:43:50 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 8.5938 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3111 loss: 1.3111 2022/06/28 20:09:20 - mmengine - INFO - Epoch(train) [91][540/3757] lr: 1.000e-04 eta: 2:43:45 time: 0.424 data_time: 0.007 memory: 5148 grad_norm: 8.5436 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2464 loss: 1.2464 2022/06/28 20:09:25 - mmengine - INFO - Epoch(train) [91][560/3757] lr: 1.000e-04 eta: 2:43:40 time: 0.217 data_time: 0.009 memory: 5148 grad_norm: 7.5564 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0329 loss: 1.0329 2022/06/28 20:09:30 - mmengine - INFO - Epoch(train) [91][580/3757] lr: 1.000e-04 eta: 2:43:34 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 7.0578 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4076 loss: 1.4076 2022/06/28 20:09:36 - mmengine - INFO - Epoch(train) [91][600/3757] lr: 1.000e-04 eta: 2:43:29 time: 0.535 data_time: 0.007 memory: 5148 grad_norm: 8.6736 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1472 loss: 1.1472 2022/06/28 20:09:42 - mmengine - INFO - Epoch(train) [91][620/3757] lr: 1.000e-04 eta: 2:43:24 time: 0.206 data_time: 0.015 memory: 5148 grad_norm: 7.9121 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0023 loss: 1.0023 2022/06/28 20:09:48 - mmengine - INFO - Epoch(train) [91][640/3757] lr: 1.000e-04 eta: 2:43:18 time: 0.775 data_time: 0.008 memory: 5148 grad_norm: 7.7261 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0007 loss: 1.0007 2022/06/28 20:09:52 - mmengine - INFO - Epoch(train) [91][660/3757] lr: 1.000e-04 eta: 2:43:13 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 9.3658 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1739 loss: 1.1739 2022/06/28 20:09:57 - mmengine - INFO - Epoch(train) [91][680/3757] lr: 1.000e-04 eta: 2:43:08 time: 0.206 data_time: 0.015 memory: 5148 grad_norm: 9.2726 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4043 loss: 1.4043 2022/06/28 20:10:03 - mmengine - INFO - Epoch(train) [91][700/3757] lr: 1.000e-04 eta: 2:43:02 time: 0.779 data_time: 0.007 memory: 5148 grad_norm: 10.2744 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2090 loss: 1.2090 2022/06/28 20:10:08 - mmengine - INFO - Epoch(train) [91][720/3757] lr: 1.000e-04 eta: 2:42:57 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 10.1217 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1828 loss: 1.1828 2022/06/28 20:10:14 - mmengine - INFO - Epoch(train) [91][740/3757] lr: 1.000e-04 eta: 2:42:52 time: 0.217 data_time: 0.013 memory: 5148 grad_norm: 7.7857 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7701 loss: 0.7701 2022/06/28 20:10:19 - mmengine - INFO - Epoch(train) [91][760/3757] lr: 1.000e-04 eta: 2:42:47 time: 0.606 data_time: 0.008 memory: 5148 grad_norm: 8.9255 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7956 loss: 0.7956 2022/06/28 20:10:25 - mmengine - INFO - Epoch(train) [91][780/3757] lr: 1.000e-04 eta: 2:42:41 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 8.4813 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3052 loss: 1.3052 2022/06/28 20:10:30 - mmengine - INFO - Epoch(train) [91][800/3757] lr: 1.000e-04 eta: 2:42:36 time: 0.249 data_time: 0.009 memory: 5148 grad_norm: 8.3901 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2172 loss: 1.2172 2022/06/28 20:10:36 - mmengine - INFO - Epoch(train) [91][820/3757] lr: 1.000e-04 eta: 2:42:31 time: 0.270 data_time: 0.011 memory: 5148 grad_norm: 9.7672 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0550 loss: 1.0550 2022/06/28 20:10:41 - mmengine - INFO - Epoch(train) [91][840/3757] lr: 1.000e-04 eta: 2:42:25 time: 0.229 data_time: 0.015 memory: 5148 grad_norm: 8.8509 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3737 loss: 1.3737 2022/06/28 20:10:46 - mmengine - INFO - Epoch(train) [91][860/3757] lr: 1.000e-04 eta: 2:42:20 time: 0.342 data_time: 0.007 memory: 5148 grad_norm: 10.3926 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4470 loss: 1.4470 2022/06/28 20:10:48 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 20:10:51 - mmengine - INFO - Epoch(train) [91][880/3757] lr: 1.000e-04 eta: 2:42:15 time: 0.195 data_time: 0.017 memory: 5148 grad_norm: 8.3226 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0029 loss: 1.0029 2022/06/28 20:10:57 - mmengine - INFO - Epoch(train) [91][900/3757] lr: 1.000e-04 eta: 2:42:09 time: 0.220 data_time: 0.015 memory: 5148 grad_norm: 9.6456 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2142 loss: 1.2142 2022/06/28 20:11:02 - mmengine - INFO - Epoch(train) [91][920/3757] lr: 1.000e-04 eta: 2:42:04 time: 0.241 data_time: 0.010 memory: 5148 grad_norm: 9.4107 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1557 loss: 1.1557 2022/06/28 20:11:08 - mmengine - INFO - Epoch(train) [91][940/3757] lr: 1.000e-04 eta: 2:41:59 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 6.3278 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1036 loss: 1.1036 2022/06/28 20:11:12 - mmengine - INFO - Epoch(train) [91][960/3757] lr: 1.000e-04 eta: 2:41:53 time: 0.214 data_time: 0.017 memory: 5148 grad_norm: 9.4519 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0834 loss: 1.0834 2022/06/28 20:11:17 - mmengine - INFO - Epoch(train) [91][980/3757] lr: 1.000e-04 eta: 2:41:48 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 8.4558 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8204 loss: 0.8204 2022/06/28 20:11:22 - mmengine - INFO - Epoch(train) [91][1000/3757] lr: 1.000e-04 eta: 2:41:43 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 9.0614 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9372 loss: 0.9372 2022/06/28 20:11:29 - mmengine - INFO - Epoch(train) [91][1020/3757] lr: 1.000e-04 eta: 2:41:38 time: 0.884 data_time: 0.013 memory: 5148 grad_norm: 7.8035 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1454 loss: 1.1454 2022/06/28 20:11:34 - mmengine - INFO - Epoch(train) [91][1040/3757] lr: 1.000e-04 eta: 2:41:32 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 11.1651 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.9612 loss: 0.9612 2022/06/28 20:11:39 - mmengine - INFO - Epoch(train) [91][1060/3757] lr: 1.000e-04 eta: 2:41:27 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 8.3538 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3310 loss: 1.3310 2022/06/28 20:11:45 - mmengine - INFO - Epoch(train) [91][1080/3757] lr: 1.000e-04 eta: 2:41:22 time: 0.228 data_time: 0.009 memory: 5148 grad_norm: 8.4221 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1442 loss: 1.1442 2022/06/28 20:11:50 - mmengine - INFO - Epoch(train) [91][1100/3757] lr: 1.000e-04 eta: 2:41:16 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 9.8494 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1163 loss: 1.1163 2022/06/28 20:11:55 - mmengine - INFO - Epoch(train) [91][1120/3757] lr: 1.000e-04 eta: 2:41:11 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 9.8574 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0985 loss: 1.0985 2022/06/28 20:12:00 - mmengine - INFO - Epoch(train) [91][1140/3757] lr: 1.000e-04 eta: 2:41:06 time: 0.215 data_time: 0.010 memory: 5148 grad_norm: 9.8873 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2075 loss: 1.2075 2022/06/28 20:12:05 - mmengine - INFO - Epoch(train) [91][1160/3757] lr: 1.000e-04 eta: 2:41:00 time: 0.200 data_time: 0.015 memory: 5148 grad_norm: 8.4713 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0084 loss: 1.0084 2022/06/28 20:12:10 - mmengine - INFO - Epoch(train) [91][1180/3757] lr: 1.000e-04 eta: 2:40:55 time: 0.203 data_time: 0.017 memory: 5148 grad_norm: 9.6922 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0750 loss: 1.0750 2022/06/28 20:12:16 - mmengine - INFO - Epoch(train) [91][1200/3757] lr: 1.000e-04 eta: 2:40:50 time: 0.347 data_time: 0.010 memory: 5148 grad_norm: 7.6052 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1602 loss: 1.1602 2022/06/28 20:12:21 - mmengine - INFO - Epoch(train) [91][1220/3757] lr: 1.000e-04 eta: 2:40:44 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 8.0070 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2683 loss: 1.2683 2022/06/28 20:12:26 - mmengine - INFO - Epoch(train) [91][1240/3757] lr: 1.000e-04 eta: 2:40:39 time: 0.225 data_time: 0.013 memory: 5148 grad_norm: 7.1082 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0842 loss: 1.0842 2022/06/28 20:12:31 - mmengine - INFO - Epoch(train) [91][1260/3757] lr: 1.000e-04 eta: 2:40:34 time: 0.215 data_time: 0.017 memory: 5148 grad_norm: 8.7550 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9527 loss: 0.9527 2022/06/28 20:12:37 - mmengine - INFO - Epoch(train) [91][1280/3757] lr: 1.000e-04 eta: 2:40:29 time: 0.213 data_time: 0.008 memory: 5148 grad_norm: 9.1874 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0903 loss: 1.0903 2022/06/28 20:12:43 - mmengine - INFO - Epoch(train) [91][1300/3757] lr: 1.000e-04 eta: 2:40:23 time: 0.902 data_time: 0.013 memory: 5148 grad_norm: 9.1930 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3180 loss: 1.3180 2022/06/28 20:12:48 - mmengine - INFO - Epoch(train) [91][1320/3757] lr: 1.000e-04 eta: 2:40:18 time: 0.239 data_time: 0.008 memory: 5148 grad_norm: 10.9455 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0082 loss: 1.0082 2022/06/28 20:12:53 - mmengine - INFO - Epoch(train) [91][1340/3757] lr: 1.000e-04 eta: 2:40:13 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 10.2114 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0991 loss: 1.0991 2022/06/28 20:12:58 - mmengine - INFO - Epoch(train) [91][1360/3757] lr: 1.000e-04 eta: 2:40:07 time: 0.227 data_time: 0.022 memory: 5148 grad_norm: 11.4586 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3845 loss: 1.3845 2022/06/28 20:13:04 - mmengine - INFO - Epoch(train) [91][1380/3757] lr: 1.000e-04 eta: 2:40:02 time: 0.233 data_time: 0.007 memory: 5148 grad_norm: 9.9196 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3541 loss: 1.3541 2022/06/28 20:13:09 - mmengine - INFO - Epoch(train) [91][1400/3757] lr: 1.000e-04 eta: 2:39:57 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 10.1023 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2167 loss: 1.2167 2022/06/28 20:13:15 - mmengine - INFO - Epoch(train) [91][1420/3757] lr: 1.000e-04 eta: 2:39:51 time: 0.895 data_time: 0.025 memory: 5148 grad_norm: 7.5418 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8813 loss: 0.8813 2022/06/28 20:13:20 - mmengine - INFO - Epoch(train) [91][1440/3757] lr: 1.000e-04 eta: 2:39:46 time: 0.304 data_time: 0.008 memory: 5148 grad_norm: 9.6818 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2032 loss: 1.2032 2022/06/28 20:13:25 - mmengine - INFO - Epoch(train) [91][1460/3757] lr: 1.000e-04 eta: 2:39:41 time: 0.243 data_time: 0.008 memory: 5148 grad_norm: 10.2179 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3141 loss: 1.3141 2022/06/28 20:13:31 - mmengine - INFO - Epoch(train) [91][1480/3757] lr: 1.000e-04 eta: 2:39:36 time: 0.212 data_time: 0.030 memory: 5148 grad_norm: 8.8716 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9567 loss: 0.9567 2022/06/28 20:13:36 - mmengine - INFO - Epoch(train) [91][1500/3757] lr: 1.000e-04 eta: 2:39:30 time: 0.225 data_time: 0.041 memory: 5148 grad_norm: 7.5081 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2257 loss: 1.2257 2022/06/28 20:13:41 - mmengine - INFO - Epoch(train) [91][1520/3757] lr: 1.000e-04 eta: 2:39:25 time: 0.217 data_time: 0.016 memory: 5148 grad_norm: 9.6900 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3741 loss: 1.3741 2022/06/28 20:13:47 - mmengine - INFO - Epoch(train) [91][1540/3757] lr: 1.000e-04 eta: 2:39:20 time: 0.220 data_time: 0.017 memory: 5148 grad_norm: 9.8955 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9614 loss: 0.9614 2022/06/28 20:13:52 - mmengine - INFO - Epoch(train) [91][1560/3757] lr: 1.000e-04 eta: 2:39:14 time: 0.205 data_time: 0.017 memory: 5148 grad_norm: 8.7311 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9117 loss: 0.9117 2022/06/28 20:13:57 - mmengine - INFO - Epoch(train) [91][1580/3757] lr: 1.000e-04 eta: 2:39:09 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 9.7310 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0440 loss: 1.0440 2022/06/28 20:14:02 - mmengine - INFO - Epoch(train) [91][1600/3757] lr: 1.000e-04 eta: 2:39:04 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 7.6808 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1774 loss: 1.1774 2022/06/28 20:14:08 - mmengine - INFO - Epoch(train) [91][1620/3757] lr: 1.000e-04 eta: 2:38:58 time: 0.218 data_time: 0.013 memory: 5148 grad_norm: 9.6359 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1823 loss: 1.1823 2022/06/28 20:14:13 - mmengine - INFO - Epoch(train) [91][1640/3757] lr: 1.000e-04 eta: 2:38:53 time: 0.211 data_time: 0.020 memory: 5148 grad_norm: 8.4254 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2943 loss: 1.2943 2022/06/28 20:14:19 - mmengine - INFO - Epoch(train) [91][1660/3757] lr: 1.000e-04 eta: 2:38:48 time: 0.360 data_time: 0.013 memory: 5148 grad_norm: 8.1475 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8551 loss: 0.8551 2022/06/28 20:14:24 - mmengine - INFO - Epoch(train) [91][1680/3757] lr: 1.000e-04 eta: 2:38:42 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 8.8115 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3127 loss: 1.3127 2022/06/28 20:14:30 - mmengine - INFO - Epoch(train) [91][1700/3757] lr: 1.000e-04 eta: 2:38:37 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 8.0863 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8937 loss: 0.8937 2022/06/28 20:14:35 - mmengine - INFO - Epoch(train) [91][1720/3757] lr: 1.000e-04 eta: 2:38:32 time: 0.229 data_time: 0.017 memory: 5148 grad_norm: 8.9609 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1738 loss: 1.1738 2022/06/28 20:14:40 - mmengine - INFO - Epoch(train) [91][1740/3757] lr: 1.000e-04 eta: 2:38:27 time: 0.224 data_time: 0.013 memory: 5148 grad_norm: 8.4761 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8212 loss: 0.8212 2022/06/28 20:14:46 - mmengine - INFO - Epoch(train) [91][1760/3757] lr: 1.000e-04 eta: 2:38:21 time: 0.211 data_time: 0.021 memory: 5148 grad_norm: 9.3231 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9875 loss: 0.9875 2022/06/28 20:14:51 - mmengine - INFO - Epoch(train) [91][1780/3757] lr: 1.000e-04 eta: 2:38:16 time: 0.214 data_time: 0.014 memory: 5148 grad_norm: 10.9382 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3484 loss: 1.3484 2022/06/28 20:14:56 - mmengine - INFO - Epoch(train) [91][1800/3757] lr: 1.000e-04 eta: 2:38:11 time: 0.211 data_time: 0.011 memory: 5148 grad_norm: 12.1730 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0257 loss: 1.0257 2022/06/28 20:15:01 - mmengine - INFO - Epoch(train) [91][1820/3757] lr: 1.000e-04 eta: 2:38:05 time: 0.218 data_time: 0.007 memory: 5148 grad_norm: 9.0949 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7682 loss: 0.7682 2022/06/28 20:15:06 - mmengine - INFO - Epoch(train) [91][1840/3757] lr: 1.000e-04 eta: 2:38:00 time: 0.323 data_time: 0.052 memory: 5148 grad_norm: 10.0305 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3563 loss: 1.3563 2022/06/28 20:15:12 - mmengine - INFO - Epoch(train) [91][1860/3757] lr: 1.000e-04 eta: 2:37:55 time: 0.212 data_time: 0.011 memory: 5148 grad_norm: 8.1154 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6707 loss: 1.6707 2022/06/28 20:15:14 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 20:15:17 - mmengine - INFO - Epoch(train) [91][1880/3757] lr: 1.000e-04 eta: 2:37:49 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 9.5931 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3189 loss: 1.3189 2022/06/28 20:15:23 - mmengine - INFO - Epoch(train) [91][1900/3757] lr: 1.000e-04 eta: 2:37:44 time: 0.208 data_time: 0.019 memory: 5148 grad_norm: 9.4372 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3023 loss: 1.3023 2022/06/28 20:15:28 - mmengine - INFO - Epoch(train) [91][1920/3757] lr: 1.000e-04 eta: 2:37:39 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 10.9722 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0830 loss: 1.0830 2022/06/28 20:15:33 - mmengine - INFO - Epoch(train) [91][1940/3757] lr: 1.000e-04 eta: 2:37:33 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 8.2891 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4242 loss: 1.4242 2022/06/28 20:15:39 - mmengine - INFO - Epoch(train) [91][1960/3757] lr: 1.000e-04 eta: 2:37:28 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 7.9590 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0412 loss: 1.0412 2022/06/28 20:15:44 - mmengine - INFO - Epoch(train) [91][1980/3757] lr: 1.000e-04 eta: 2:37:23 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 9.0854 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1312 loss: 1.1312 2022/06/28 20:15:49 - mmengine - INFO - Epoch(train) [91][2000/3757] lr: 1.000e-04 eta: 2:37:18 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 9.3888 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1719 loss: 1.1719 2022/06/28 20:15:55 - mmengine - INFO - Epoch(train) [91][2020/3757] lr: 1.000e-04 eta: 2:37:12 time: 0.224 data_time: 0.010 memory: 5148 grad_norm: 10.1459 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9758 loss: 0.9758 2022/06/28 20:16:00 - mmengine - INFO - Epoch(train) [91][2040/3757] lr: 1.000e-04 eta: 2:37:07 time: 0.209 data_time: 0.023 memory: 5148 grad_norm: 9.9256 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9027 loss: 0.9027 2022/06/28 20:16:06 - mmengine - INFO - Epoch(train) [91][2060/3757] lr: 1.000e-04 eta: 2:37:02 time: 0.194 data_time: 0.009 memory: 5148 grad_norm: 9.0529 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9429 loss: 0.9429 2022/06/28 20:16:11 - mmengine - INFO - Epoch(train) [91][2080/3757] lr: 1.000e-04 eta: 2:36:56 time: 0.201 data_time: 0.013 memory: 5148 grad_norm: 8.8244 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1171 loss: 1.1171 2022/06/28 20:16:17 - mmengine - INFO - Epoch(train) [91][2100/3757] lr: 1.000e-04 eta: 2:36:51 time: 0.346 data_time: 0.007 memory: 5148 grad_norm: 8.8178 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3634 loss: 1.3634 2022/06/28 20:16:22 - mmengine - INFO - Epoch(train) [91][2120/3757] lr: 1.000e-04 eta: 2:36:46 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 8.9894 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9309 loss: 0.9309 2022/06/28 20:16:27 - mmengine - INFO - Epoch(train) [91][2140/3757] lr: 1.000e-04 eta: 2:36:40 time: 0.222 data_time: 0.012 memory: 5148 grad_norm: 9.4365 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1443 loss: 1.1443 2022/06/28 20:16:33 - mmengine - INFO - Epoch(train) [91][2160/3757] lr: 1.000e-04 eta: 2:36:35 time: 0.912 data_time: 0.007 memory: 5148 grad_norm: 9.9073 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1103 loss: 1.1103 2022/06/28 20:16:38 - mmengine - INFO - Epoch(train) [91][2180/3757] lr: 1.000e-04 eta: 2:36:30 time: 0.192 data_time: 0.009 memory: 5148 grad_norm: 10.2811 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1207 loss: 1.1207 2022/06/28 20:16:43 - mmengine - INFO - Epoch(train) [91][2200/3757] lr: 1.000e-04 eta: 2:36:25 time: 0.503 data_time: 0.016 memory: 5148 grad_norm: 9.4181 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9070 loss: 0.9070 2022/06/28 20:16:48 - mmengine - INFO - Epoch(train) [91][2220/3757] lr: 1.000e-04 eta: 2:36:19 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 10.5336 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8853 loss: 0.8853 2022/06/28 20:16:54 - mmengine - INFO - Epoch(train) [91][2240/3757] lr: 1.000e-04 eta: 2:36:14 time: 0.222 data_time: 0.008 memory: 5148 grad_norm: 10.5746 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1975 loss: 1.1975 2022/06/28 20:16:59 - mmengine - INFO - Epoch(train) [91][2260/3757] lr: 1.000e-04 eta: 2:36:09 time: 0.242 data_time: 0.022 memory: 5148 grad_norm: 7.8932 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4137 loss: 1.4137 2022/06/28 20:17:05 - mmengine - INFO - Epoch(train) [91][2280/3757] lr: 1.000e-04 eta: 2:36:03 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 7.3584 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0181 loss: 1.0181 2022/06/28 20:17:10 - mmengine - INFO - Epoch(train) [91][2300/3757] lr: 1.000e-04 eta: 2:35:58 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 8.7741 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2627 loss: 1.2627 2022/06/28 20:17:15 - mmengine - INFO - Epoch(train) [91][2320/3757] lr: 1.000e-04 eta: 2:35:53 time: 0.212 data_time: 0.010 memory: 5148 grad_norm: 9.6128 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9493 loss: 0.9493 2022/06/28 20:17:20 - mmengine - INFO - Epoch(train) [91][2340/3757] lr: 1.000e-04 eta: 2:35:47 time: 0.211 data_time: 0.010 memory: 5148 grad_norm: 9.8821 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2472 loss: 1.2472 2022/06/28 20:17:26 - mmengine - INFO - Epoch(train) [91][2360/3757] lr: 1.000e-04 eta: 2:35:42 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 9.4730 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8654 loss: 0.8654 2022/06/28 20:17:32 - mmengine - INFO - Epoch(train) [91][2380/3757] lr: 1.000e-04 eta: 2:35:37 time: 0.210 data_time: 0.010 memory: 5148 grad_norm: 8.3528 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1442 loss: 1.1442 2022/06/28 20:17:36 - mmengine - INFO - Epoch(train) [91][2400/3757] lr: 1.000e-04 eta: 2:35:31 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 10.0323 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3280 loss: 1.3280 2022/06/28 20:17:42 - mmengine - INFO - Epoch(train) [91][2420/3757] lr: 1.000e-04 eta: 2:35:26 time: 0.212 data_time: 0.012 memory: 5148 grad_norm: 8.9568 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7663 loss: 0.7663 2022/06/28 20:17:48 - mmengine - INFO - Epoch(train) [91][2440/3757] lr: 1.000e-04 eta: 2:35:21 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 8.8768 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2905 loss: 1.2905 2022/06/28 20:17:53 - mmengine - INFO - Epoch(train) [91][2460/3757] lr: 1.000e-04 eta: 2:35:16 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 8.5097 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9486 loss: 0.9486 2022/06/28 20:17:59 - mmengine - INFO - Epoch(train) [91][2480/3757] lr: 1.000e-04 eta: 2:35:10 time: 0.208 data_time: 0.015 memory: 5148 grad_norm: 9.6333 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9286 loss: 0.9286 2022/06/28 20:18:03 - mmengine - INFO - Epoch(train) [91][2500/3757] lr: 1.000e-04 eta: 2:35:05 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 10.9535 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3405 loss: 1.3405 2022/06/28 20:18:09 - mmengine - INFO - Epoch(train) [91][2520/3757] lr: 1.000e-04 eta: 2:35:00 time: 0.217 data_time: 0.008 memory: 5148 grad_norm: 10.1300 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0405 loss: 1.0405 2022/06/28 20:18:14 - mmengine - INFO - Epoch(train) [91][2540/3757] lr: 1.000e-04 eta: 2:34:54 time: 0.216 data_time: 0.014 memory: 5148 grad_norm: 9.2321 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1130 loss: 1.1130 2022/06/28 20:18:18 - mmengine - INFO - Epoch(train) [91][2560/3757] lr: 1.000e-04 eta: 2:34:49 time: 0.210 data_time: 0.025 memory: 5148 grad_norm: 8.6805 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3336 loss: 1.3336 2022/06/28 20:18:24 - mmengine - INFO - Epoch(train) [91][2580/3757] lr: 1.000e-04 eta: 2:34:44 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 7.8197 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3686 loss: 1.3686 2022/06/28 20:18:29 - mmengine - INFO - Epoch(train) [91][2600/3757] lr: 1.000e-04 eta: 2:34:38 time: 0.224 data_time: 0.008 memory: 5148 grad_norm: 9.6143 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8447 loss: 0.8447 2022/06/28 20:18:34 - mmengine - INFO - Epoch(train) [91][2620/3757] lr: 1.000e-04 eta: 2:34:33 time: 0.226 data_time: 0.040 memory: 5148 grad_norm: 11.3042 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1629 loss: 1.1629 2022/06/28 20:18:40 - mmengine - INFO - Epoch(train) [91][2640/3757] lr: 1.000e-04 eta: 2:34:28 time: 0.212 data_time: 0.008 memory: 5148 grad_norm: 8.7167 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1102 loss: 1.1102 2022/06/28 20:18:45 - mmengine - INFO - Epoch(train) [91][2660/3757] lr: 1.000e-04 eta: 2:34:22 time: 0.428 data_time: 0.007 memory: 5148 grad_norm: 6.9037 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2329 loss: 1.2329 2022/06/28 20:18:50 - mmengine - INFO - Epoch(train) [91][2680/3757] lr: 1.000e-04 eta: 2:34:17 time: 0.208 data_time: 0.026 memory: 5148 grad_norm: 8.5490 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3652 loss: 1.3652 2022/06/28 20:18:55 - mmengine - INFO - Epoch(train) [91][2700/3757] lr: 1.000e-04 eta: 2:34:12 time: 0.217 data_time: 0.014 memory: 5148 grad_norm: 8.8996 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9761 loss: 0.9761 2022/06/28 20:19:01 - mmengine - INFO - Epoch(train) [91][2720/3757] lr: 1.000e-04 eta: 2:34:06 time: 0.457 data_time: 0.007 memory: 5148 grad_norm: 9.0745 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9075 loss: 0.9075 2022/06/28 20:19:06 - mmengine - INFO - Epoch(train) [91][2740/3757] lr: 1.000e-04 eta: 2:34:01 time: 0.254 data_time: 0.008 memory: 5148 grad_norm: 7.7990 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9973 loss: 0.9973 2022/06/28 20:19:12 - mmengine - INFO - Epoch(train) [91][2760/3757] lr: 1.000e-04 eta: 2:33:56 time: 0.224 data_time: 0.037 memory: 5148 grad_norm: 8.1659 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9747 loss: 0.9747 2022/06/28 20:19:17 - mmengine - INFO - Epoch(train) [91][2780/3757] lr: 1.000e-04 eta: 2:33:51 time: 0.271 data_time: 0.007 memory: 5148 grad_norm: 8.1199 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3052 loss: 1.3052 2022/06/28 20:19:22 - mmengine - INFO - Epoch(train) [91][2800/3757] lr: 1.000e-04 eta: 2:33:45 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 8.5236 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9454 loss: 0.9454 2022/06/28 20:19:28 - mmengine - INFO - Epoch(train) [91][2820/3757] lr: 1.000e-04 eta: 2:33:40 time: 0.213 data_time: 0.028 memory: 5148 grad_norm: 9.1704 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0242 loss: 1.0242 2022/06/28 20:19:33 - mmengine - INFO - Epoch(train) [91][2840/3757] lr: 1.000e-04 eta: 2:33:35 time: 0.227 data_time: 0.008 memory: 5148 grad_norm: 9.3327 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1646 loss: 1.1646 2022/06/28 20:19:38 - mmengine - INFO - Epoch(train) [91][2860/3757] lr: 1.000e-04 eta: 2:33:29 time: 0.211 data_time: 0.008 memory: 5148 grad_norm: 9.2396 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 0.9134 loss: 0.9134 2022/06/28 20:19:41 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 20:19:43 - mmengine - INFO - Epoch(train) [91][2880/3757] lr: 1.000e-04 eta: 2:33:24 time: 0.213 data_time: 0.023 memory: 5148 grad_norm: 8.3769 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1151 loss: 1.1151 2022/06/28 20:19:49 - mmengine - INFO - Epoch(train) [91][2900/3757] lr: 1.000e-04 eta: 2:33:19 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 8.3429 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1364 loss: 1.1364 2022/06/28 20:19:54 - mmengine - INFO - Epoch(train) [91][2920/3757] lr: 1.000e-04 eta: 2:33:13 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 8.9683 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7565 loss: 0.7565 2022/06/28 20:19:59 - mmengine - INFO - Epoch(train) [91][2940/3757] lr: 1.000e-04 eta: 2:33:08 time: 0.200 data_time: 0.018 memory: 5148 grad_norm: 8.3050 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5750 loss: 1.5750 2022/06/28 20:20:04 - mmengine - INFO - Epoch(train) [91][2960/3757] lr: 1.000e-04 eta: 2:33:03 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 9.8450 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1046 loss: 1.1046 2022/06/28 20:20:10 - mmengine - INFO - Epoch(train) [91][2980/3757] lr: 1.000e-04 eta: 2:32:57 time: 0.204 data_time: 0.016 memory: 5148 grad_norm: 9.6076 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1164 loss: 1.1164 2022/06/28 20:20:15 - mmengine - INFO - Epoch(train) [91][3000/3757] lr: 1.000e-04 eta: 2:32:52 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 7.6892 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3198 loss: 1.3198 2022/06/28 20:20:20 - mmengine - INFO - Epoch(train) [91][3020/3757] lr: 1.000e-04 eta: 2:32:47 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 8.8634 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9630 loss: 0.9630 2022/06/28 20:20:26 - mmengine - INFO - Epoch(train) [91][3040/3757] lr: 1.000e-04 eta: 2:32:42 time: 0.215 data_time: 0.021 memory: 5148 grad_norm: 10.2380 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3235 loss: 1.3235 2022/06/28 20:20:32 - mmengine - INFO - Epoch(train) [91][3060/3757] lr: 1.000e-04 eta: 2:32:36 time: 0.214 data_time: 0.014 memory: 5148 grad_norm: 8.1520 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3885 loss: 1.3885 2022/06/28 20:20:36 - mmengine - INFO - Epoch(train) [91][3080/3757] lr: 1.000e-04 eta: 2:32:31 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 8.7718 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9997 loss: 0.9997 2022/06/28 20:20:42 - mmengine - INFO - Epoch(train) [91][3100/3757] lr: 1.000e-04 eta: 2:32:26 time: 0.217 data_time: 0.008 memory: 5148 grad_norm: 7.8743 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0790 loss: 1.0790 2022/06/28 20:20:47 - mmengine - INFO - Epoch(train) [91][3120/3757] lr: 1.000e-04 eta: 2:32:20 time: 0.220 data_time: 0.034 memory: 5148 grad_norm: 9.9471 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9264 loss: 0.9264 2022/06/28 20:20:52 - mmengine - INFO - Epoch(train) [91][3140/3757] lr: 1.000e-04 eta: 2:32:15 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 10.0010 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3418 loss: 1.3418 2022/06/28 20:20:57 - mmengine - INFO - Epoch(train) [91][3160/3757] lr: 1.000e-04 eta: 2:32:10 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 10.5502 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.3391 loss: 1.3391 2022/06/28 20:21:03 - mmengine - INFO - Epoch(train) [91][3180/3757] lr: 1.000e-04 eta: 2:32:04 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 7.9175 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7258 loss: 0.7258 2022/06/28 20:21:08 - mmengine - INFO - Epoch(train) [91][3200/3757] lr: 1.000e-04 eta: 2:31:59 time: 0.211 data_time: 0.008 memory: 5148 grad_norm: 8.2152 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6300 loss: 1.6300 2022/06/28 20:21:13 - mmengine - INFO - Epoch(train) [91][3220/3757] lr: 1.000e-04 eta: 2:31:54 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 11.2039 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0475 loss: 1.0475 2022/06/28 20:21:20 - mmengine - INFO - Epoch(train) [91][3240/3757] lr: 1.000e-04 eta: 2:31:49 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 7.3956 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1737 loss: 1.1737 2022/06/28 20:21:24 - mmengine - INFO - Epoch(train) [91][3260/3757] lr: 1.000e-04 eta: 2:31:43 time: 0.208 data_time: 0.009 memory: 5148 grad_norm: 8.6829 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6036 loss: 1.6036 2022/06/28 20:21:30 - mmengine - INFO - Epoch(train) [91][3280/3757] lr: 1.000e-04 eta: 2:31:38 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 9.8210 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2679 loss: 1.2679 2022/06/28 20:21:35 - mmengine - INFO - Epoch(train) [91][3300/3757] lr: 1.000e-04 eta: 2:31:33 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 10.3871 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3756 loss: 1.3756 2022/06/28 20:21:40 - mmengine - INFO - Epoch(train) [91][3320/3757] lr: 1.000e-04 eta: 2:31:27 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 9.7105 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4053 loss: 1.4053 2022/06/28 20:21:46 - mmengine - INFO - Epoch(train) [91][3340/3757] lr: 1.000e-04 eta: 2:31:22 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 10.8919 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9302 loss: 0.9302 2022/06/28 20:21:51 - mmengine - INFO - Epoch(train) [91][3360/3757] lr: 1.000e-04 eta: 2:31:17 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 12.2893 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2442 loss: 1.2442 2022/06/28 20:21:56 - mmengine - INFO - Epoch(train) [91][3380/3757] lr: 1.000e-04 eta: 2:31:11 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 9.6117 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8821 loss: 0.8821 2022/06/28 20:22:02 - mmengine - INFO - Epoch(train) [91][3400/3757] lr: 1.000e-04 eta: 2:31:06 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 8.7849 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1764 loss: 1.1764 2022/06/28 20:22:08 - mmengine - INFO - Epoch(train) [91][3420/3757] lr: 1.000e-04 eta: 2:31:01 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 7.6856 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2200 loss: 1.2200 2022/06/28 20:22:12 - mmengine - INFO - Epoch(train) [91][3440/3757] lr: 1.000e-04 eta: 2:30:55 time: 0.207 data_time: 0.015 memory: 5148 grad_norm: 10.6856 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3870 loss: 1.3870 2022/06/28 20:22:18 - mmengine - INFO - Epoch(train) [91][3460/3757] lr: 1.000e-04 eta: 2:30:50 time: 0.444 data_time: 0.008 memory: 5148 grad_norm: 10.9033 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0859 loss: 1.0859 2022/06/28 20:22:23 - mmengine - INFO - Epoch(train) [91][3480/3757] lr: 1.000e-04 eta: 2:30:45 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 7.6535 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8708 loss: 0.8708 2022/06/28 20:22:28 - mmengine - INFO - Epoch(train) [91][3500/3757] lr: 1.000e-04 eta: 2:30:39 time: 0.199 data_time: 0.014 memory: 5148 grad_norm: 9.3310 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2465 loss: 1.2465 2022/06/28 20:22:34 - mmengine - INFO - Epoch(train) [91][3520/3757] lr: 1.000e-04 eta: 2:30:34 time: 0.712 data_time: 0.007 memory: 5148 grad_norm: 9.5442 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2272 loss: 1.2272 2022/06/28 20:22:39 - mmengine - INFO - Epoch(train) [91][3540/3757] lr: 1.000e-04 eta: 2:30:29 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 9.9561 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3495 loss: 1.3495 2022/06/28 20:22:44 - mmengine - INFO - Epoch(train) [91][3560/3757] lr: 1.000e-04 eta: 2:30:24 time: 0.220 data_time: 0.018 memory: 5148 grad_norm: 8.4166 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2844 loss: 1.2844 2022/06/28 20:22:50 - mmengine - INFO - Epoch(train) [91][3580/3757] lr: 1.000e-04 eta: 2:30:18 time: 0.779 data_time: 0.008 memory: 5148 grad_norm: 8.4150 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2635 loss: 1.2635 2022/06/28 20:22:56 - mmengine - INFO - Epoch(train) [91][3600/3757] lr: 1.000e-04 eta: 2:30:13 time: 0.212 data_time: 0.008 memory: 5148 grad_norm: 8.7380 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2104 loss: 1.2104 2022/06/28 20:23:00 - mmengine - INFO - Epoch(train) [91][3620/3757] lr: 1.000e-04 eta: 2:30:08 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 9.7252 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1333 loss: 1.1333 2022/06/28 20:23:07 - mmengine - INFO - Epoch(train) [91][3640/3757] lr: 1.000e-04 eta: 2:30:02 time: 0.196 data_time: 0.013 memory: 5148 grad_norm: 10.0917 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2294 loss: 1.2294 2022/06/28 20:23:11 - mmengine - INFO - Epoch(train) [91][3660/3757] lr: 1.000e-04 eta: 2:29:57 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 8.1215 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0839 loss: 1.0839 2022/06/28 20:23:16 - mmengine - INFO - Epoch(train) [91][3680/3757] lr: 1.000e-04 eta: 2:29:52 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 7.5593 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2771 loss: 1.2771 2022/06/28 20:23:22 - mmengine - INFO - Epoch(train) [91][3700/3757] lr: 1.000e-04 eta: 2:29:46 time: 0.205 data_time: 0.016 memory: 5148 grad_norm: 8.4225 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0392 loss: 1.0392 2022/06/28 20:23:27 - mmengine - INFO - Epoch(train) [91][3720/3757] lr: 1.000e-04 eta: 2:29:41 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 7.0462 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3146 loss: 1.3146 2022/06/28 20:23:32 - mmengine - INFO - Epoch(train) [91][3740/3757] lr: 1.000e-04 eta: 2:29:36 time: 0.196 data_time: 0.015 memory: 5148 grad_norm: 7.3789 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2176 loss: 1.2176 2022/06/28 20:23:35 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 20:23:42 - mmengine - INFO - Epoch(val) [91][20/310] eta: 0:01:14 time: 0.288 data_time: 0.212 memory: 5148 2022/06/28 20:23:47 - mmengine - INFO - Epoch(val) [91][40/310] eta: 0:01:04 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 20:23:53 - mmengine - INFO - Epoch(val) [91][60/310] eta: 0:01:00 time: 0.392 data_time: 0.316 memory: 1367 2022/06/28 20:23:57 - mmengine - INFO - Epoch(val) [91][80/310] eta: 0:00:58 time: 0.081 data_time: 0.009 memory: 1367 2022/06/28 20:24:03 - mmengine - INFO - Epoch(val) [91][100/310] eta: 0:00:58 time: 0.556 data_time: 0.475 memory: 1367 2022/06/28 20:24:08 - mmengine - INFO - Epoch(val) [91][120/310] eta: 0:00:44 time: 0.142 data_time: 0.065 memory: 1367 2022/06/28 20:24:15 - mmengine - INFO - Epoch(val) [91][140/310] eta: 0:00:55 time: 1.151 data_time: 1.079 memory: 1367 2022/06/28 20:24:19 - mmengine - INFO - Epoch(val) [91][160/310] eta: 0:00:36 time: 0.259 data_time: 0.185 memory: 1367 2022/06/28 20:24:25 - mmengine - INFO - Epoch(val) [91][180/310] eta: 0:00:51 time: 1.457 data_time: 1.386 memory: 1367 2022/06/28 20:24:30 - mmengine - INFO - Epoch(val) [91][200/310] eta: 0:00:25 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 20:24:36 - mmengine - INFO - Epoch(val) [91][220/310] eta: 0:00:32 time: 0.928 data_time: 0.856 memory: 1367 2022/06/28 20:24:40 - mmengine - INFO - Epoch(val) [91][240/310] eta: 0:00:14 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 20:24:46 - mmengine - INFO - Epoch(val) [91][260/310] eta: 0:00:18 time: 0.681 data_time: 0.609 memory: 1367 2022/06/28 20:24:51 - mmengine - INFO - Epoch(val) [91][280/310] eta: 0:00:06 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 20:24:57 - mmengine - INFO - Epoch(val) [91][300/310] eta: 0:00:03 time: 0.843 data_time: 0.772 memory: 1367 2022/06/28 20:25:00 - mmengine - INFO - Epoch(val) [91][310/310] acc/top1: 0.6608 acc/top5: 0.8612 acc/mean1: 0.6607 2022/06/28 20:25:09 - mmengine - INFO - Epoch(train) [92][20/3757] lr: 1.000e-04 eta: 2:29:26 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 10.3553 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9938 loss: 0.9938 2022/06/28 20:25:15 - mmengine - INFO - Epoch(train) [92][40/3757] lr: 1.000e-04 eta: 2:29:21 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 11.0763 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1505 loss: 1.1505 2022/06/28 20:25:20 - mmengine - INFO - Epoch(train) [92][60/3757] lr: 1.000e-04 eta: 2:29:15 time: 0.198 data_time: 0.020 memory: 5148 grad_norm: 10.0922 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8942 loss: 0.8942 2022/06/28 20:25:26 - mmengine - INFO - Epoch(train) [92][80/3757] lr: 1.000e-04 eta: 2:29:10 time: 0.196 data_time: 0.015 memory: 5148 grad_norm: 10.7239 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3173 loss: 1.3173 2022/06/28 20:25:31 - mmengine - INFO - Epoch(train) [92][100/3757] lr: 1.000e-04 eta: 2:29:05 time: 0.208 data_time: 0.009 memory: 5148 grad_norm: 8.7403 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8109 loss: 0.8109 2022/06/28 20:25:34 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 20:25:36 - mmengine - INFO - Epoch(train) [92][120/3757] lr: 1.000e-04 eta: 2:29:00 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 10.2504 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4287 loss: 1.4287 2022/06/28 20:25:42 - mmengine - INFO - Epoch(train) [92][140/3757] lr: 1.000e-04 eta: 2:28:54 time: 0.208 data_time: 0.019 memory: 5148 grad_norm: 9.5817 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3408 loss: 1.3408 2022/06/28 20:25:46 - mmengine - INFO - Epoch(train) [92][160/3757] lr: 1.000e-04 eta: 2:28:49 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 10.4597 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0342 loss: 1.0342 2022/06/28 20:25:51 - mmengine - INFO - Epoch(train) [92][180/3757] lr: 1.000e-04 eta: 2:28:44 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 7.0795 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9786 loss: 0.9786 2022/06/28 20:25:57 - mmengine - INFO - Epoch(train) [92][200/3757] lr: 1.000e-04 eta: 2:28:38 time: 0.208 data_time: 0.029 memory: 5148 grad_norm: 9.9547 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9129 loss: 0.9129 2022/06/28 20:26:02 - mmengine - INFO - Epoch(train) [92][220/3757] lr: 1.000e-04 eta: 2:28:33 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 9.2459 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1664 loss: 1.1664 2022/06/28 20:26:08 - mmengine - INFO - Epoch(train) [92][240/3757] lr: 1.000e-04 eta: 2:28:28 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 10.5803 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2308 loss: 1.2308 2022/06/28 20:26:13 - mmengine - INFO - Epoch(train) [92][260/3757] lr: 1.000e-04 eta: 2:28:22 time: 0.393 data_time: 0.209 memory: 5148 grad_norm: 9.1113 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3081 loss: 1.3081 2022/06/28 20:26:19 - mmengine - INFO - Epoch(train) [92][280/3757] lr: 1.000e-04 eta: 2:28:17 time: 0.212 data_time: 0.009 memory: 5148 grad_norm: 7.5752 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9692 loss: 0.9692 2022/06/28 20:26:24 - mmengine - INFO - Epoch(train) [92][300/3757] lr: 1.000e-04 eta: 2:28:12 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 8.6245 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0272 loss: 1.0272 2022/06/28 20:26:29 - mmengine - INFO - Epoch(train) [92][320/3757] lr: 1.000e-04 eta: 2:28:07 time: 0.479 data_time: 0.038 memory: 5148 grad_norm: 9.5157 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1288 loss: 1.1288 2022/06/28 20:26:34 - mmengine - INFO - Epoch(train) [92][340/3757] lr: 1.000e-04 eta: 2:28:01 time: 0.212 data_time: 0.008 memory: 5148 grad_norm: 8.4698 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0314 loss: 1.0314 2022/06/28 20:26:39 - mmengine - INFO - Epoch(train) [92][360/3757] lr: 1.000e-04 eta: 2:27:56 time: 0.201 data_time: 0.009 memory: 5148 grad_norm: 7.4505 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9986 loss: 0.9986 2022/06/28 20:26:46 - mmengine - INFO - Epoch(train) [92][380/3757] lr: 1.000e-04 eta: 2:27:51 time: 0.206 data_time: 0.022 memory: 5148 grad_norm: 10.0638 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2003 loss: 1.2003 2022/06/28 20:26:51 - mmengine - INFO - Epoch(train) [92][400/3757] lr: 1.000e-04 eta: 2:27:45 time: 0.600 data_time: 0.016 memory: 5148 grad_norm: 10.3596 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2194 loss: 1.2194 2022/06/28 20:26:56 - mmengine - INFO - Epoch(train) [92][420/3757] lr: 1.000e-04 eta: 2:27:40 time: 0.218 data_time: 0.008 memory: 5148 grad_norm: 8.8370 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0188 loss: 1.0188 2022/06/28 20:27:02 - mmengine - INFO - Epoch(train) [92][440/3757] lr: 1.000e-04 eta: 2:27:35 time: 0.205 data_time: 0.006 memory: 5148 grad_norm: 8.1414 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3841 loss: 1.3841 2022/06/28 20:27:07 - mmengine - INFO - Epoch(train) [92][460/3757] lr: 1.000e-04 eta: 2:27:29 time: 0.394 data_time: 0.019 memory: 5148 grad_norm: 10.1401 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0751 loss: 1.0751 2022/06/28 20:27:12 - mmengine - INFO - Epoch(train) [92][480/3757] lr: 1.000e-04 eta: 2:27:24 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 10.1567 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3896 loss: 1.3896 2022/06/28 20:27:18 - mmengine - INFO - Epoch(train) [92][500/3757] lr: 1.000e-04 eta: 2:27:19 time: 0.220 data_time: 0.011 memory: 5148 grad_norm: 8.1459 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3555 loss: 1.3555 2022/06/28 20:27:24 - mmengine - INFO - Epoch(train) [92][520/3757] lr: 1.000e-04 eta: 2:27:14 time: 1.726 data_time: 0.015 memory: 5148 grad_norm: 9.6269 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1572 loss: 1.1572 2022/06/28 20:27:29 - mmengine - INFO - Epoch(train) [92][540/3757] lr: 1.000e-04 eta: 2:27:08 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 10.0379 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1454 loss: 1.1454 2022/06/28 20:27:34 - mmengine - INFO - Epoch(train) [92][560/3757] lr: 1.000e-04 eta: 2:27:03 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 7.9541 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0459 loss: 1.0459 2022/06/28 20:27:40 - mmengine - INFO - Epoch(train) [92][580/3757] lr: 1.000e-04 eta: 2:26:58 time: 0.918 data_time: 0.013 memory: 5148 grad_norm: 8.4037 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3207 loss: 1.3207 2022/06/28 20:27:45 - mmengine - INFO - Epoch(train) [92][600/3757] lr: 1.000e-04 eta: 2:26:52 time: 0.247 data_time: 0.008 memory: 5148 grad_norm: 9.1695 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1634 loss: 1.1634 2022/06/28 20:27:50 - mmengine - INFO - Epoch(train) [92][620/3757] lr: 1.000e-04 eta: 2:26:47 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 8.2195 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1029 loss: 1.1029 2022/06/28 20:27:56 - mmengine - INFO - Epoch(train) [92][640/3757] lr: 1.000e-04 eta: 2:26:42 time: 1.254 data_time: 0.008 memory: 5148 grad_norm: 9.5895 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0862 loss: 1.0862 2022/06/28 20:28:01 - mmengine - INFO - Epoch(train) [92][660/3757] lr: 1.000e-04 eta: 2:26:36 time: 0.217 data_time: 0.006 memory: 5148 grad_norm: 8.3506 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1136 loss: 1.1136 2022/06/28 20:28:06 - mmengine - INFO - Epoch(train) [92][680/3757] lr: 1.000e-04 eta: 2:26:31 time: 0.202 data_time: 0.012 memory: 5148 grad_norm: 10.4359 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3033 loss: 1.3033 2022/06/28 20:28:12 - mmengine - INFO - Epoch(train) [92][700/3757] lr: 1.000e-04 eta: 2:26:26 time: 1.207 data_time: 0.006 memory: 5148 grad_norm: 8.8118 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5694 loss: 1.5694 2022/06/28 20:28:17 - mmengine - INFO - Epoch(train) [92][720/3757] lr: 1.000e-04 eta: 2:26:21 time: 0.273 data_time: 0.021 memory: 5148 grad_norm: 8.9408 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1411 loss: 1.1411 2022/06/28 20:28:22 - mmengine - INFO - Epoch(train) [92][740/3757] lr: 1.000e-04 eta: 2:26:15 time: 0.207 data_time: 0.013 memory: 5148 grad_norm: 9.5875 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2361 loss: 1.2361 2022/06/28 20:28:26 - mmengine - INFO - Epoch(train) [92][760/3757] lr: 1.000e-04 eta: 2:26:10 time: 0.682 data_time: 0.010 memory: 5148 grad_norm: 8.2456 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8786 loss: 0.8786 2022/06/28 20:28:31 - mmengine - INFO - Epoch(train) [92][780/3757] lr: 1.000e-04 eta: 2:26:04 time: 0.473 data_time: 0.011 memory: 5148 grad_norm: 8.5008 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2451 loss: 1.2451 2022/06/28 20:28:37 - mmengine - INFO - Epoch(train) [92][800/3757] lr: 1.000e-04 eta: 2:25:59 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 8.7349 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2443 loss: 1.2443 2022/06/28 20:28:42 - mmengine - INFO - Epoch(train) [92][820/3757] lr: 1.000e-04 eta: 2:25:54 time: 0.606 data_time: 0.009 memory: 5148 grad_norm: 9.0256 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5893 loss: 1.5893 2022/06/28 20:28:47 - mmengine - INFO - Epoch(train) [92][840/3757] lr: 1.000e-04 eta: 2:25:49 time: 0.610 data_time: 0.007 memory: 5148 grad_norm: 10.2633 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3333 loss: 1.3333 2022/06/28 20:28:53 - mmengine - INFO - Epoch(train) [92][860/3757] lr: 1.000e-04 eta: 2:25:43 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 8.8622 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0562 loss: 1.0562 2022/06/28 20:28:58 - mmengine - INFO - Epoch(train) [92][880/3757] lr: 1.000e-04 eta: 2:25:38 time: 0.398 data_time: 0.010 memory: 5148 grad_norm: 8.8966 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3746 loss: 1.3746 2022/06/28 20:29:03 - mmengine - INFO - Epoch(train) [92][900/3757] lr: 1.000e-04 eta: 2:25:33 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 9.5111 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6728 loss: 1.6728 2022/06/28 20:29:09 - mmengine - INFO - Epoch(train) [92][920/3757] lr: 1.000e-04 eta: 2:25:27 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 9.8825 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4278 loss: 1.4278 2022/06/28 20:29:15 - mmengine - INFO - Epoch(train) [92][940/3757] lr: 1.000e-04 eta: 2:25:22 time: 0.495 data_time: 0.010 memory: 5148 grad_norm: 9.8929 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7912 loss: 0.7912 2022/06/28 20:29:20 - mmengine - INFO - Epoch(train) [92][960/3757] lr: 1.000e-04 eta: 2:25:17 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 11.2276 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5181 loss: 1.5181 2022/06/28 20:29:25 - mmengine - INFO - Epoch(train) [92][980/3757] lr: 1.000e-04 eta: 2:25:11 time: 0.210 data_time: 0.023 memory: 5148 grad_norm: 9.8638 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2664 loss: 1.2664 2022/06/28 20:29:31 - mmengine - INFO - Epoch(train) [92][1000/3757] lr: 1.000e-04 eta: 2:25:06 time: 0.214 data_time: 0.011 memory: 5148 grad_norm: 9.4961 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0487 loss: 1.0487 2022/06/28 20:29:36 - mmengine - INFO - Epoch(train) [92][1020/3757] lr: 1.000e-04 eta: 2:25:01 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 8.0153 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2317 loss: 1.2317 2022/06/28 20:29:41 - mmengine - INFO - Epoch(train) [92][1040/3757] lr: 1.000e-04 eta: 2:24:55 time: 0.206 data_time: 0.020 memory: 5148 grad_norm: 8.0745 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8833 loss: 0.8833 2022/06/28 20:29:47 - mmengine - INFO - Epoch(train) [92][1060/3757] lr: 1.000e-04 eta: 2:24:50 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 9.9375 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8846 loss: 0.8846 2022/06/28 20:29:53 - mmengine - INFO - Epoch(train) [92][1080/3757] lr: 1.000e-04 eta: 2:24:45 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 7.8892 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1328 loss: 1.1328 2022/06/28 20:29:58 - mmengine - INFO - Epoch(train) [92][1100/3757] lr: 1.000e-04 eta: 2:24:40 time: 0.295 data_time: 0.020 memory: 5148 grad_norm: 7.8026 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2721 loss: 1.2721 2022/06/28 20:30:01 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 20:30:03 - mmengine - INFO - Epoch(train) [92][1120/3757] lr: 1.000e-04 eta: 2:24:34 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 8.7490 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1278 loss: 1.1278 2022/06/28 20:30:09 - mmengine - INFO - Epoch(train) [92][1140/3757] lr: 1.000e-04 eta: 2:24:29 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 8.6878 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0545 loss: 1.0545 2022/06/28 20:30:14 - mmengine - INFO - Epoch(train) [92][1160/3757] lr: 1.000e-04 eta: 2:24:24 time: 0.202 data_time: 0.019 memory: 5148 grad_norm: 11.0340 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9473 loss: 0.9473 2022/06/28 20:30:19 - mmengine - INFO - Epoch(train) [92][1180/3757] lr: 1.000e-04 eta: 2:24:18 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 8.5518 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1326 loss: 1.1326 2022/06/28 20:30:25 - mmengine - INFO - Epoch(train) [92][1200/3757] lr: 1.000e-04 eta: 2:24:13 time: 0.203 data_time: 0.023 memory: 5148 grad_norm: 9.0777 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3447 loss: 1.3447 2022/06/28 20:30:30 - mmengine - INFO - Epoch(train) [92][1220/3757] lr: 1.000e-04 eta: 2:24:08 time: 0.197 data_time: 0.013 memory: 5148 grad_norm: 9.6854 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2941 loss: 1.2941 2022/06/28 20:30:35 - mmengine - INFO - Epoch(train) [92][1240/3757] lr: 1.000e-04 eta: 2:24:02 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 9.4897 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2824 loss: 1.2824 2022/06/28 20:30:41 - mmengine - INFO - Epoch(train) [92][1260/3757] lr: 1.000e-04 eta: 2:23:57 time: 0.196 data_time: 0.012 memory: 5148 grad_norm: 10.2132 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9978 loss: 0.9978 2022/06/28 20:30:46 - mmengine - INFO - Epoch(train) [92][1280/3757] lr: 1.000e-04 eta: 2:23:52 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 9.2277 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9428 loss: 0.9428 2022/06/28 20:30:52 - mmengine - INFO - Epoch(train) [92][1300/3757] lr: 1.000e-04 eta: 2:23:47 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 6.7862 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4004 loss: 1.4004 2022/06/28 20:30:57 - mmengine - INFO - Epoch(train) [92][1320/3757] lr: 1.000e-04 eta: 2:23:41 time: 0.209 data_time: 0.030 memory: 5148 grad_norm: 11.9377 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8393 loss: 0.8393 2022/06/28 20:31:01 - mmengine - INFO - Epoch(train) [92][1340/3757] lr: 1.000e-04 eta: 2:23:36 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 8.1189 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0740 loss: 1.0740 2022/06/28 20:31:07 - mmengine - INFO - Epoch(train) [92][1360/3757] lr: 1.000e-04 eta: 2:23:31 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 8.8699 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3568 loss: 1.3568 2022/06/28 20:31:13 - mmengine - INFO - Epoch(train) [92][1380/3757] lr: 1.000e-04 eta: 2:23:25 time: 0.233 data_time: 0.024 memory: 5148 grad_norm: 7.1581 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9713 loss: 0.9713 2022/06/28 20:31:18 - mmengine - INFO - Epoch(train) [92][1400/3757] lr: 1.000e-04 eta: 2:23:20 time: 0.221 data_time: 0.008 memory: 5148 grad_norm: 10.0260 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6910 loss: 0.6910 2022/06/28 20:31:23 - mmengine - INFO - Epoch(train) [92][1420/3757] lr: 1.000e-04 eta: 2:23:15 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 10.1177 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2017 loss: 1.2017 2022/06/28 20:31:29 - mmengine - INFO - Epoch(train) [92][1440/3757] lr: 1.000e-04 eta: 2:23:09 time: 0.223 data_time: 0.022 memory: 5148 grad_norm: 9.8240 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2986 loss: 1.2986 2022/06/28 20:31:34 - mmengine - INFO - Epoch(train) [92][1460/3757] lr: 1.000e-04 eta: 2:23:04 time: 0.201 data_time: 0.009 memory: 5148 grad_norm: 9.7275 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1737 loss: 1.1737 2022/06/28 20:31:39 - mmengine - INFO - Epoch(train) [92][1480/3757] lr: 1.000e-04 eta: 2:22:59 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 10.3645 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0135 loss: 1.0135 2022/06/28 20:31:45 - mmengine - INFO - Epoch(train) [92][1500/3757] lr: 1.000e-04 eta: 2:22:54 time: 0.223 data_time: 0.034 memory: 5148 grad_norm: 8.8563 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1391 loss: 1.1391 2022/06/28 20:31:50 - mmengine - INFO - Epoch(train) [92][1520/3757] lr: 1.000e-04 eta: 2:22:48 time: 0.200 data_time: 0.009 memory: 5148 grad_norm: 10.8810 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8017 loss: 0.8017 2022/06/28 20:31:55 - mmengine - INFO - Epoch(train) [92][1540/3757] lr: 1.000e-04 eta: 2:22:43 time: 0.216 data_time: 0.008 memory: 5148 grad_norm: 9.7685 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9756 loss: 0.9756 2022/06/28 20:32:00 - mmengine - INFO - Epoch(train) [92][1560/3757] lr: 1.000e-04 eta: 2:22:38 time: 0.231 data_time: 0.021 memory: 5148 grad_norm: 9.9218 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3780 loss: 1.3780 2022/06/28 20:32:05 - mmengine - INFO - Epoch(train) [92][1580/3757] lr: 1.000e-04 eta: 2:22:32 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 8.6354 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1408 loss: 1.1408 2022/06/28 20:32:11 - mmengine - INFO - Epoch(train) [92][1600/3757] lr: 1.000e-04 eta: 2:22:27 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 8.1572 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1333 loss: 1.1333 2022/06/28 20:32:17 - mmengine - INFO - Epoch(train) [92][1620/3757] lr: 1.000e-04 eta: 2:22:22 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 9.2656 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3784 loss: 1.3784 2022/06/28 20:32:21 - mmengine - INFO - Epoch(train) [92][1640/3757] lr: 1.000e-04 eta: 2:22:16 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 8.1297 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1847 loss: 1.1847 2022/06/28 20:32:27 - mmengine - INFO - Epoch(train) [92][1660/3757] lr: 1.000e-04 eta: 2:22:11 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 10.5762 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1916 loss: 1.1916 2022/06/28 20:32:32 - mmengine - INFO - Epoch(train) [92][1680/3757] lr: 1.000e-04 eta: 2:22:06 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 9.2609 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9202 loss: 0.9202 2022/06/28 20:32:38 - mmengine - INFO - Epoch(train) [92][1700/3757] lr: 1.000e-04 eta: 2:22:00 time: 0.337 data_time: 0.008 memory: 5148 grad_norm: 8.7827 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3688 loss: 1.3688 2022/06/28 20:32:43 - mmengine - INFO - Epoch(train) [92][1720/3757] lr: 1.000e-04 eta: 2:21:55 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 7.8135 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5791 loss: 1.5791 2022/06/28 20:32:49 - mmengine - INFO - Epoch(train) [92][1740/3757] lr: 1.000e-04 eta: 2:21:50 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 10.0799 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3119 loss: 1.3119 2022/06/28 20:32:54 - mmengine - INFO - Epoch(train) [92][1760/3757] lr: 1.000e-04 eta: 2:21:45 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 9.1321 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1545 loss: 1.1545 2022/06/28 20:32:59 - mmengine - INFO - Epoch(train) [92][1780/3757] lr: 1.000e-04 eta: 2:21:39 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 10.0352 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2191 loss: 1.2191 2022/06/28 20:33:04 - mmengine - INFO - Epoch(train) [92][1800/3757] lr: 1.000e-04 eta: 2:21:34 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 9.7909 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1006 loss: 1.1006 2022/06/28 20:33:10 - mmengine - INFO - Epoch(train) [92][1820/3757] lr: 1.000e-04 eta: 2:21:29 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 9.6588 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3563 loss: 1.3563 2022/06/28 20:33:15 - mmengine - INFO - Epoch(train) [92][1840/3757] lr: 1.000e-04 eta: 2:21:23 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 7.6783 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4892 loss: 1.4892 2022/06/28 20:33:21 - mmengine - INFO - Epoch(train) [92][1860/3757] lr: 1.000e-04 eta: 2:21:18 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 10.5454 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.5648 loss: 1.5648 2022/06/28 20:33:26 - mmengine - INFO - Epoch(train) [92][1880/3757] lr: 1.000e-04 eta: 2:21:13 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 7.5618 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9593 loss: 0.9593 2022/06/28 20:33:32 - mmengine - INFO - Epoch(train) [92][1900/3757] lr: 1.000e-04 eta: 2:21:07 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 8.9695 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1227 loss: 1.1227 2022/06/28 20:33:36 - mmengine - INFO - Epoch(train) [92][1920/3757] lr: 1.000e-04 eta: 2:21:02 time: 0.203 data_time: 0.015 memory: 5148 grad_norm: 9.0406 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9398 loss: 0.9398 2022/06/28 20:33:42 - mmengine - INFO - Epoch(train) [92][1940/3757] lr: 1.000e-04 eta: 2:20:57 time: 0.208 data_time: 0.015 memory: 5148 grad_norm: 10.8065 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9930 loss: 0.9930 2022/06/28 20:33:47 - mmengine - INFO - Epoch(train) [92][1960/3757] lr: 1.000e-04 eta: 2:20:51 time: 0.367 data_time: 0.012 memory: 5148 grad_norm: 8.2457 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2546 loss: 1.2546 2022/06/28 20:33:53 - mmengine - INFO - Epoch(train) [92][1980/3757] lr: 1.000e-04 eta: 2:20:46 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 8.5933 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1954 loss: 1.1954 2022/06/28 20:33:58 - mmengine - INFO - Epoch(train) [92][2000/3757] lr: 1.000e-04 eta: 2:20:41 time: 0.660 data_time: 0.468 memory: 5148 grad_norm: 8.2222 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1150 loss: 1.1150 2022/06/28 20:34:04 - mmengine - INFO - Epoch(train) [92][2020/3757] lr: 1.000e-04 eta: 2:20:36 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 8.1507 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9245 loss: 0.9245 2022/06/28 20:34:09 - mmengine - INFO - Epoch(train) [92][2040/3757] lr: 1.000e-04 eta: 2:20:30 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 8.0993 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0329 loss: 1.0329 2022/06/28 20:34:14 - mmengine - INFO - Epoch(train) [92][2060/3757] lr: 1.000e-04 eta: 2:20:25 time: 0.282 data_time: 0.091 memory: 5148 grad_norm: 9.2027 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4933 loss: 1.4933 2022/06/28 20:34:20 - mmengine - INFO - Epoch(train) [92][2080/3757] lr: 1.000e-04 eta: 2:20:20 time: 0.320 data_time: 0.007 memory: 5148 grad_norm: 8.5363 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1936 loss: 1.1936 2022/06/28 20:34:25 - mmengine - INFO - Epoch(train) [92][2100/3757] lr: 1.000e-04 eta: 2:20:14 time: 0.217 data_time: 0.006 memory: 5148 grad_norm: 10.0316 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2152 loss: 1.2152 2022/06/28 20:34:28 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 20:34:30 - mmengine - INFO - Epoch(train) [92][2120/3757] lr: 1.000e-04 eta: 2:20:09 time: 0.224 data_time: 0.039 memory: 5148 grad_norm: 8.7065 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8659 loss: 0.8659 2022/06/28 20:34:36 - mmengine - INFO - Epoch(train) [92][2140/3757] lr: 1.000e-04 eta: 2:20:04 time: 0.990 data_time: 0.008 memory: 5148 grad_norm: 8.9154 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1995 loss: 1.1995 2022/06/28 20:34:41 - mmengine - INFO - Epoch(train) [92][2160/3757] lr: 1.000e-04 eta: 2:19:58 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 9.0650 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1827 loss: 1.1827 2022/06/28 20:34:47 - mmengine - INFO - Epoch(train) [92][2180/3757] lr: 1.000e-04 eta: 2:19:53 time: 0.212 data_time: 0.026 memory: 5148 grad_norm: 9.8225 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4135 loss: 1.4135 2022/06/28 20:34:52 - mmengine - INFO - Epoch(train) [92][2200/3757] lr: 1.000e-04 eta: 2:19:48 time: 0.775 data_time: 0.007 memory: 5148 grad_norm: 9.0375 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0861 loss: 1.0861 2022/06/28 20:34:57 - mmengine - INFO - Epoch(train) [92][2220/3757] lr: 1.000e-04 eta: 2:19:43 time: 0.218 data_time: 0.040 memory: 5148 grad_norm: 9.0282 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4051 loss: 1.4051 2022/06/28 20:35:03 - mmengine - INFO - Epoch(train) [92][2240/3757] lr: 1.000e-04 eta: 2:19:37 time: 0.198 data_time: 0.012 memory: 5148 grad_norm: 9.2882 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0855 loss: 1.0855 2022/06/28 20:35:08 - mmengine - INFO - Epoch(train) [92][2260/3757] lr: 1.000e-04 eta: 2:19:32 time: 0.951 data_time: 0.009 memory: 5148 grad_norm: 9.8370 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0497 loss: 1.0497 2022/06/28 20:35:13 - mmengine - INFO - Epoch(train) [92][2280/3757] lr: 1.000e-04 eta: 2:19:27 time: 0.203 data_time: 0.022 memory: 5148 grad_norm: 8.8090 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2542 loss: 1.2542 2022/06/28 20:35:18 - mmengine - INFO - Epoch(train) [92][2300/3757] lr: 1.000e-04 eta: 2:19:21 time: 0.451 data_time: 0.041 memory: 5148 grad_norm: 8.0501 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7722 loss: 0.7722 2022/06/28 20:35:24 - mmengine - INFO - Epoch(train) [92][2320/3757] lr: 1.000e-04 eta: 2:19:16 time: 1.130 data_time: 0.007 memory: 5148 grad_norm: 9.5373 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2212 loss: 1.2212 2022/06/28 20:35:29 - mmengine - INFO - Epoch(train) [92][2340/3757] lr: 1.000e-04 eta: 2:19:11 time: 0.202 data_time: 0.020 memory: 5148 grad_norm: 10.8953 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0861 loss: 1.0861 2022/06/28 20:35:34 - mmengine - INFO - Epoch(train) [92][2360/3757] lr: 1.000e-04 eta: 2:19:05 time: 0.198 data_time: 0.012 memory: 5148 grad_norm: 8.8128 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1039 loss: 1.1039 2022/06/28 20:35:40 - mmengine - INFO - Epoch(train) [92][2380/3757] lr: 1.000e-04 eta: 2:19:00 time: 0.807 data_time: 0.011 memory: 5148 grad_norm: 8.0278 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9869 loss: 0.9869 2022/06/28 20:35:45 - mmengine - INFO - Epoch(train) [92][2400/3757] lr: 1.000e-04 eta: 2:18:55 time: 0.214 data_time: 0.017 memory: 5148 grad_norm: 10.2955 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1804 loss: 1.1804 2022/06/28 20:35:50 - mmengine - INFO - Epoch(train) [92][2420/3757] lr: 1.000e-04 eta: 2:18:49 time: 0.203 data_time: 0.009 memory: 5148 grad_norm: 10.9009 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1868 loss: 1.1868 2022/06/28 20:35:56 - mmengine - INFO - Epoch(train) [92][2440/3757] lr: 1.000e-04 eta: 2:18:44 time: 0.952 data_time: 0.012 memory: 5148 grad_norm: 11.3946 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2192 loss: 1.2192 2022/06/28 20:36:00 - mmengine - INFO - Epoch(train) [92][2460/3757] lr: 1.000e-04 eta: 2:18:39 time: 0.206 data_time: 0.016 memory: 5148 grad_norm: 8.7173 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1656 loss: 1.1656 2022/06/28 20:36:06 - mmengine - INFO - Epoch(train) [92][2480/3757] lr: 1.000e-04 eta: 2:18:34 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 9.7706 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1998 loss: 1.1998 2022/06/28 20:36:11 - mmengine - INFO - Epoch(train) [92][2500/3757] lr: 1.000e-04 eta: 2:18:28 time: 0.437 data_time: 0.008 memory: 5148 grad_norm: 9.5424 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4520 loss: 1.4520 2022/06/28 20:36:17 - mmengine - INFO - Epoch(train) [92][2520/3757] lr: 1.000e-04 eta: 2:18:23 time: 0.219 data_time: 0.010 memory: 5148 grad_norm: 10.2931 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1047 loss: 1.1047 2022/06/28 20:36:22 - mmengine - INFO - Epoch(train) [92][2540/3757] lr: 1.000e-04 eta: 2:18:18 time: 0.238 data_time: 0.017 memory: 5148 grad_norm: 10.3439 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4308 loss: 1.4308 2022/06/28 20:36:27 - mmengine - INFO - Epoch(train) [92][2560/3757] lr: 1.000e-04 eta: 2:18:12 time: 0.202 data_time: 0.016 memory: 5148 grad_norm: 9.6149 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1760 loss: 1.1760 2022/06/28 20:36:33 - mmengine - INFO - Epoch(train) [92][2580/3757] lr: 1.000e-04 eta: 2:18:07 time: 0.208 data_time: 0.030 memory: 5148 grad_norm: 10.8671 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.2741 loss: 1.2741 2022/06/28 20:36:39 - mmengine - INFO - Epoch(train) [92][2600/3757] lr: 1.000e-04 eta: 2:18:02 time: 0.208 data_time: 0.014 memory: 5148 grad_norm: 8.8604 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.3253 loss: 1.3253 2022/06/28 20:36:43 - mmengine - INFO - Epoch(train) [92][2620/3757] lr: 1.000e-04 eta: 2:17:56 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 8.7196 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2848 loss: 1.2848 2022/06/28 20:36:48 - mmengine - INFO - Epoch(train) [92][2640/3757] lr: 1.000e-04 eta: 2:17:51 time: 0.211 data_time: 0.012 memory: 5148 grad_norm: 7.7036 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0956 loss: 1.0956 2022/06/28 20:36:54 - mmengine - INFO - Epoch(train) [92][2660/3757] lr: 1.000e-04 eta: 2:17:46 time: 0.199 data_time: 0.017 memory: 5148 grad_norm: 8.0140 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4550 loss: 1.4550 2022/06/28 20:37:00 - mmengine - INFO - Epoch(train) [92][2680/3757] lr: 1.000e-04 eta: 2:17:40 time: 0.204 data_time: 0.015 memory: 5148 grad_norm: 9.5130 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2901 loss: 1.2901 2022/06/28 20:37:05 - mmengine - INFO - Epoch(train) [92][2700/3757] lr: 1.000e-04 eta: 2:17:35 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 7.1404 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1020 loss: 1.1020 2022/06/28 20:37:10 - mmengine - INFO - Epoch(train) [92][2720/3757] lr: 1.000e-04 eta: 2:17:30 time: 0.207 data_time: 0.016 memory: 5148 grad_norm: 9.4428 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9775 loss: 0.9775 2022/06/28 20:37:15 - mmengine - INFO - Epoch(train) [92][2740/3757] lr: 1.000e-04 eta: 2:17:25 time: 0.314 data_time: 0.012 memory: 5148 grad_norm: 10.0883 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3478 loss: 1.3478 2022/06/28 20:37:20 - mmengine - INFO - Epoch(train) [92][2760/3757] lr: 1.000e-04 eta: 2:17:19 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 7.8255 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7542 loss: 1.7542 2022/06/28 20:37:26 - mmengine - INFO - Epoch(train) [92][2780/3757] lr: 1.000e-04 eta: 2:17:14 time: 0.299 data_time: 0.025 memory: 5148 grad_norm: 9.8393 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2849 loss: 1.2849 2022/06/28 20:37:32 - mmengine - INFO - Epoch(train) [92][2800/3757] lr: 1.000e-04 eta: 2:17:09 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 8.2298 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1603 loss: 1.1603 2022/06/28 20:37:37 - mmengine - INFO - Epoch(train) [92][2820/3757] lr: 1.000e-04 eta: 2:17:03 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 12.3081 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4609 loss: 1.4609 2022/06/28 20:37:42 - mmengine - INFO - Epoch(train) [92][2840/3757] lr: 1.000e-04 eta: 2:16:58 time: 0.224 data_time: 0.025 memory: 5148 grad_norm: 8.8286 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1438 loss: 1.1438 2022/06/28 20:37:48 - mmengine - INFO - Epoch(train) [92][2860/3757] lr: 1.000e-04 eta: 2:16:53 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 9.2065 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3337 loss: 1.3337 2022/06/28 20:37:53 - mmengine - INFO - Epoch(train) [92][2880/3757] lr: 1.000e-04 eta: 2:16:47 time: 0.208 data_time: 0.011 memory: 5148 grad_norm: 9.2173 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3665 loss: 1.3665 2022/06/28 20:37:58 - mmengine - INFO - Epoch(train) [92][2900/3757] lr: 1.000e-04 eta: 2:16:42 time: 0.451 data_time: 0.021 memory: 5148 grad_norm: 9.8201 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1655 loss: 1.1655 2022/06/28 20:38:03 - mmengine - INFO - Epoch(train) [92][2920/3757] lr: 1.000e-04 eta: 2:16:37 time: 0.204 data_time: 0.013 memory: 5148 grad_norm: 8.1452 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9787 loss: 0.9787 2022/06/28 20:38:09 - mmengine - INFO - Epoch(train) [92][2940/3757] lr: 1.000e-04 eta: 2:16:32 time: 0.393 data_time: 0.014 memory: 5148 grad_norm: 9.9086 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2496 loss: 1.2496 2022/06/28 20:38:15 - mmengine - INFO - Epoch(train) [92][2960/3757] lr: 1.000e-04 eta: 2:16:26 time: 0.468 data_time: 0.015 memory: 5148 grad_norm: 11.0595 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0565 loss: 1.0565 2022/06/28 20:38:20 - mmengine - INFO - Epoch(train) [92][2980/3757] lr: 1.000e-04 eta: 2:16:21 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 7.6047 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0445 loss: 1.0445 2022/06/28 20:38:25 - mmengine - INFO - Epoch(train) [92][3000/3757] lr: 1.000e-04 eta: 2:16:16 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 8.6179 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9333 loss: 0.9333 2022/06/28 20:38:31 - mmengine - INFO - Epoch(train) [92][3020/3757] lr: 1.000e-04 eta: 2:16:10 time: 0.203 data_time: 0.012 memory: 5148 grad_norm: 8.0993 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1830 loss: 1.1830 2022/06/28 20:38:36 - mmengine - INFO - Epoch(train) [92][3040/3757] lr: 1.000e-04 eta: 2:16:05 time: 0.203 data_time: 0.015 memory: 5148 grad_norm: 9.5295 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3228 loss: 1.3228 2022/06/28 20:38:42 - mmengine - INFO - Epoch(train) [92][3060/3757] lr: 1.000e-04 eta: 2:16:00 time: 0.275 data_time: 0.007 memory: 5148 grad_norm: 9.7211 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0126 loss: 1.0126 2022/06/28 20:38:47 - mmengine - INFO - Epoch(train) [92][3080/3757] lr: 1.000e-04 eta: 2:15:54 time: 0.217 data_time: 0.012 memory: 5148 grad_norm: 8.9766 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1289 loss: 1.1289 2022/06/28 20:38:52 - mmengine - INFO - Epoch(train) [92][3100/3757] lr: 1.000e-04 eta: 2:15:49 time: 0.202 data_time: 0.015 memory: 5148 grad_norm: 9.7008 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3627 loss: 1.3627 2022/06/28 20:38:55 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 20:38:57 - mmengine - INFO - Epoch(train) [92][3120/3757] lr: 1.000e-04 eta: 2:15:44 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 8.4540 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1835 loss: 1.1835 2022/06/28 20:39:02 - mmengine - INFO - Epoch(train) [92][3140/3757] lr: 1.000e-04 eta: 2:15:38 time: 0.218 data_time: 0.007 memory: 5148 grad_norm: 8.1997 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3613 loss: 1.3613 2022/06/28 20:39:08 - mmengine - INFO - Epoch(train) [92][3160/3757] lr: 1.000e-04 eta: 2:15:33 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 8.9547 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1632 loss: 1.1632 2022/06/28 20:39:14 - mmengine - INFO - Epoch(train) [92][3180/3757] lr: 1.000e-04 eta: 2:15:28 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 9.2964 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2074 loss: 1.2074 2022/06/28 20:39:18 - mmengine - INFO - Epoch(train) [92][3200/3757] lr: 1.000e-04 eta: 2:15:22 time: 0.222 data_time: 0.015 memory: 5148 grad_norm: 8.9554 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7312 loss: 0.7312 2022/06/28 20:39:23 - mmengine - INFO - Epoch(train) [92][3220/3757] lr: 1.000e-04 eta: 2:15:17 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 9.5754 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0331 loss: 1.0331 2022/06/28 20:39:29 - mmengine - INFO - Epoch(train) [92][3240/3757] lr: 1.000e-04 eta: 2:15:12 time: 0.207 data_time: 0.011 memory: 5148 grad_norm: 8.0742 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0113 loss: 1.0113 2022/06/28 20:39:34 - mmengine - INFO - Epoch(train) [92][3260/3757] lr: 1.000e-04 eta: 2:15:07 time: 0.208 data_time: 0.015 memory: 5148 grad_norm: 9.5396 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1718 loss: 1.1718 2022/06/28 20:39:39 - mmengine - INFO - Epoch(train) [92][3280/3757] lr: 1.000e-04 eta: 2:15:01 time: 0.213 data_time: 0.008 memory: 5148 grad_norm: 9.3140 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0721 loss: 1.0721 2022/06/28 20:39:44 - mmengine - INFO - Epoch(train) [92][3300/3757] lr: 1.000e-04 eta: 2:14:56 time: 0.212 data_time: 0.010 memory: 5148 grad_norm: 8.6461 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0907 loss: 1.0907 2022/06/28 20:39:50 - mmengine - INFO - Epoch(train) [92][3320/3757] lr: 1.000e-04 eta: 2:14:51 time: 0.220 data_time: 0.008 memory: 5148 grad_norm: 9.3664 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2421 loss: 1.2421 2022/06/28 20:39:55 - mmengine - INFO - Epoch(train) [92][3340/3757] lr: 1.000e-04 eta: 2:14:45 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 10.2218 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3876 loss: 1.3876 2022/06/28 20:40:01 - mmengine - INFO - Epoch(train) [92][3360/3757] lr: 1.000e-04 eta: 2:14:40 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 9.2672 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8496 loss: 0.8496 2022/06/28 20:40:07 - mmengine - INFO - Epoch(train) [92][3380/3757] lr: 1.000e-04 eta: 2:14:35 time: 0.203 data_time: 0.013 memory: 5148 grad_norm: 7.7520 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6825 loss: 1.6825 2022/06/28 20:40:12 - mmengine - INFO - Epoch(train) [92][3400/3757] lr: 1.000e-04 eta: 2:14:30 time: 0.198 data_time: 0.012 memory: 5148 grad_norm: 7.6209 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2342 loss: 1.2342 2022/06/28 20:40:18 - mmengine - INFO - Epoch(train) [92][3420/3757] lr: 1.000e-04 eta: 2:14:24 time: 0.203 data_time: 0.009 memory: 5148 grad_norm: 9.4371 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0558 loss: 1.0558 2022/06/28 20:40:23 - mmengine - INFO - Epoch(train) [92][3440/3757] lr: 1.000e-04 eta: 2:14:19 time: 0.193 data_time: 0.011 memory: 5148 grad_norm: 8.9790 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2598 loss: 1.2598 2022/06/28 20:40:29 - mmengine - INFO - Epoch(train) [92][3460/3757] lr: 1.000e-04 eta: 2:14:14 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 8.5035 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7804 loss: 0.7804 2022/06/28 20:40:34 - mmengine - INFO - Epoch(train) [92][3480/3757] lr: 1.000e-04 eta: 2:14:08 time: 0.210 data_time: 0.015 memory: 5148 grad_norm: 9.4889 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4586 loss: 1.4586 2022/06/28 20:40:39 - mmengine - INFO - Epoch(train) [92][3500/3757] lr: 1.000e-04 eta: 2:14:03 time: 0.207 data_time: 0.011 memory: 5148 grad_norm: 10.4579 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0854 loss: 1.0854 2022/06/28 20:40:45 - mmengine - INFO - Epoch(train) [92][3520/3757] lr: 1.000e-04 eta: 2:13:58 time: 0.225 data_time: 0.018 memory: 5148 grad_norm: 10.1106 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5536 loss: 1.5536 2022/06/28 20:40:49 - mmengine - INFO - Epoch(train) [92][3540/3757] lr: 1.000e-04 eta: 2:13:52 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 7.9719 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0124 loss: 1.0124 2022/06/28 20:40:54 - mmengine - INFO - Epoch(train) [92][3560/3757] lr: 1.000e-04 eta: 2:13:47 time: 0.201 data_time: 0.012 memory: 5148 grad_norm: 9.5736 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1533 loss: 1.1533 2022/06/28 20:41:00 - mmengine - INFO - Epoch(train) [92][3580/3757] lr: 1.000e-04 eta: 2:13:42 time: 0.211 data_time: 0.016 memory: 5148 grad_norm: 8.9819 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1867 loss: 1.1867 2022/06/28 20:41:06 - mmengine - INFO - Epoch(train) [92][3600/3757] lr: 1.000e-04 eta: 2:13:36 time: 0.218 data_time: 0.008 memory: 5148 grad_norm: 8.4714 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8546 loss: 0.8546 2022/06/28 20:41:11 - mmengine - INFO - Epoch(train) [92][3620/3757] lr: 1.000e-04 eta: 2:13:31 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 8.2992 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0753 loss: 1.0753 2022/06/28 20:41:16 - mmengine - INFO - Epoch(train) [92][3640/3757] lr: 1.000e-04 eta: 2:13:26 time: 0.415 data_time: 0.018 memory: 5148 grad_norm: 8.7784 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1092 loss: 1.1092 2022/06/28 20:41:21 - mmengine - INFO - Epoch(train) [92][3660/3757] lr: 1.000e-04 eta: 2:13:21 time: 0.211 data_time: 0.008 memory: 5148 grad_norm: 10.8211 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7650 loss: 0.7650 2022/06/28 20:41:27 - mmengine - INFO - Epoch(train) [92][3680/3757] lr: 1.000e-04 eta: 2:13:15 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 8.7266 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9216 loss: 0.9216 2022/06/28 20:41:32 - mmengine - INFO - Epoch(train) [92][3700/3757] lr: 1.000e-04 eta: 2:13:10 time: 0.667 data_time: 0.022 memory: 5148 grad_norm: 9.4216 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4290 loss: 1.4290 2022/06/28 20:41:37 - mmengine - INFO - Epoch(train) [92][3720/3757] lr: 1.000e-04 eta: 2:13:05 time: 0.212 data_time: 0.008 memory: 5148 grad_norm: 11.1824 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3411 loss: 1.3411 2022/06/28 20:41:42 - mmengine - INFO - Epoch(train) [92][3740/3757] lr: 1.000e-04 eta: 2:12:59 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 9.3224 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3833 loss: 1.3833 2022/06/28 20:41:46 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 20:41:53 - mmengine - INFO - Epoch(val) [92][20/310] eta: 0:01:08 time: 0.083 data_time: 0.011 memory: 5148 2022/06/28 20:41:58 - mmengine - INFO - Epoch(val) [92][40/310] eta: 0:01:08 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 20:42:04 - mmengine - INFO - Epoch(val) [92][60/310] eta: 0:00:51 time: 0.083 data_time: 0.005 memory: 1367 2022/06/28 20:42:08 - mmengine - INFO - Epoch(val) [92][80/310] eta: 0:00:56 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 20:42:14 - mmengine - INFO - Epoch(val) [92][100/310] eta: 0:00:47 time: 0.084 data_time: 0.005 memory: 1367 2022/06/28 20:42:20 - mmengine - INFO - Epoch(val) [92][120/310] eta: 0:00:40 time: 0.092 data_time: 0.009 memory: 1367 2022/06/28 20:42:25 - mmengine - INFO - Epoch(val) [92][140/310] eta: 0:00:42 time: 0.424 data_time: 0.351 memory: 1367 2022/06/28 20:42:30 - mmengine - INFO - Epoch(val) [92][160/310] eta: 0:00:29 time: 0.078 data_time: 0.005 memory: 1367 2022/06/28 20:42:36 - mmengine - INFO - Epoch(val) [92][180/310] eta: 0:00:38 time: 0.798 data_time: 0.724 memory: 1367 2022/06/28 20:42:41 - mmengine - INFO - Epoch(val) [92][200/310] eta: 0:00:24 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 20:42:46 - mmengine - INFO - Epoch(val) [92][220/310] eta: 0:00:25 time: 0.266 data_time: 0.192 memory: 1367 2022/06/28 20:42:52 - mmengine - INFO - Epoch(val) [92][240/310] eta: 0:00:17 time: 0.091 data_time: 0.005 memory: 1367 2022/06/28 20:42:57 - mmengine - INFO - Epoch(val) [92][260/310] eta: 0:00:11 time: 0.188 data_time: 0.117 memory: 1367 2022/06/28 20:43:03 - mmengine - INFO - Epoch(val) [92][280/310] eta: 0:00:06 time: 0.081 data_time: 0.005 memory: 1367 2022/06/28 20:43:08 - mmengine - INFO - Epoch(val) [92][300/310] eta: 0:00:02 time: 0.090 data_time: 0.008 memory: 1367 2022/06/28 20:43:11 - mmengine - INFO - Epoch(val) [92][310/310] acc/top1: 0.6610 acc/top5: 0.8633 acc/mean1: 0.6609 2022/06/28 20:43:20 - mmengine - INFO - Epoch(train) [93][20/3757] lr: 1.000e-04 eta: 2:12:50 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 9.1849 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0999 loss: 1.0999 2022/06/28 20:43:25 - mmengine - INFO - Epoch(train) [93][40/3757] lr: 1.000e-04 eta: 2:12:44 time: 0.206 data_time: 0.006 memory: 5148 grad_norm: 10.4747 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7280 loss: 0.7280 2022/06/28 20:43:31 - mmengine - INFO - Epoch(train) [93][60/3757] lr: 1.000e-04 eta: 2:12:39 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 10.0463 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9278 loss: 0.9278 2022/06/28 20:43:38 - mmengine - INFO - Epoch(train) [93][80/3757] lr: 1.000e-04 eta: 2:12:34 time: 0.198 data_time: 0.020 memory: 5148 grad_norm: 9.4265 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3482 loss: 1.3482 2022/06/28 20:43:43 - mmengine - INFO - Epoch(train) [93][100/3757] lr: 1.000e-04 eta: 2:12:28 time: 0.204 data_time: 0.015 memory: 5148 grad_norm: 8.1945 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1489 loss: 1.1489 2022/06/28 20:43:48 - mmengine - INFO - Epoch(train) [93][120/3757] lr: 1.000e-04 eta: 2:12:23 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 8.4258 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0446 loss: 1.0446 2022/06/28 20:43:54 - mmengine - INFO - Epoch(train) [93][140/3757] lr: 1.000e-04 eta: 2:12:18 time: 0.221 data_time: 0.044 memory: 5148 grad_norm: 9.3999 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1926 loss: 1.1926 2022/06/28 20:44:00 - mmengine - INFO - Epoch(train) [93][160/3757] lr: 1.000e-04 eta: 2:12:13 time: 0.217 data_time: 0.011 memory: 5148 grad_norm: 9.2400 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2781 loss: 1.2781 2022/06/28 20:44:05 - mmengine - INFO - Epoch(train) [93][180/3757] lr: 1.000e-04 eta: 2:12:07 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 8.5859 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8378 loss: 0.8378 2022/06/28 20:44:10 - mmengine - INFO - Epoch(train) [93][200/3757] lr: 1.000e-04 eta: 2:12:02 time: 0.203 data_time: 0.023 memory: 5148 grad_norm: 8.5063 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0695 loss: 1.0695 2022/06/28 20:44:15 - mmengine - INFO - Epoch(train) [93][220/3757] lr: 1.000e-04 eta: 2:11:57 time: 0.673 data_time: 0.007 memory: 5148 grad_norm: 10.7254 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1294 loss: 1.1294 2022/06/28 20:44:20 - mmengine - INFO - Epoch(train) [93][240/3757] lr: 1.000e-04 eta: 2:11:51 time: 0.213 data_time: 0.013 memory: 5148 grad_norm: 9.2364 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2786 loss: 1.2786 2022/06/28 20:44:26 - mmengine - INFO - Epoch(train) [93][260/3757] lr: 1.000e-04 eta: 2:11:46 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 8.1059 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1424 loss: 1.1424 2022/06/28 20:44:31 - mmengine - INFO - Epoch(train) [93][280/3757] lr: 1.000e-04 eta: 2:11:41 time: 0.233 data_time: 0.006 memory: 5148 grad_norm: 9.7347 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8989 loss: 0.8989 2022/06/28 20:44:36 - mmengine - INFO - Epoch(train) [93][300/3757] lr: 1.000e-04 eta: 2:11:35 time: 0.216 data_time: 0.018 memory: 5148 grad_norm: 10.2012 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2471 loss: 1.2471 2022/06/28 20:44:42 - mmengine - INFO - Epoch(train) [93][320/3757] lr: 1.000e-04 eta: 2:11:30 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 8.1404 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2548 loss: 1.2548 2022/06/28 20:44:47 - mmengine - INFO - Epoch(train) [93][340/3757] lr: 1.000e-04 eta: 2:11:25 time: 0.693 data_time: 0.011 memory: 5148 grad_norm: 8.6759 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2864 loss: 1.2864 2022/06/28 20:44:52 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 20:44:52 - mmengine - INFO - Epoch(train) [93][360/3757] lr: 1.000e-04 eta: 2:11:19 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 9.1874 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9867 loss: 0.9867 2022/06/28 20:44:58 - mmengine - INFO - Epoch(train) [93][380/3757] lr: 1.000e-04 eta: 2:11:14 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 11.2249 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2050 loss: 1.2050 2022/06/28 20:45:03 - mmengine - INFO - Epoch(train) [93][400/3757] lr: 1.000e-04 eta: 2:11:09 time: 0.373 data_time: 0.009 memory: 5148 grad_norm: 7.4069 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2138 loss: 1.2138 2022/06/28 20:45:09 - mmengine - INFO - Epoch(train) [93][420/3757] lr: 1.000e-04 eta: 2:11:04 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 8.3594 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5798 loss: 0.5798 2022/06/28 20:45:14 - mmengine - INFO - Epoch(train) [93][440/3757] lr: 1.000e-04 eta: 2:10:58 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 11.1102 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2676 loss: 1.2676 2022/06/28 20:45:19 - mmengine - INFO - Epoch(train) [93][460/3757] lr: 1.000e-04 eta: 2:10:53 time: 0.202 data_time: 0.012 memory: 5148 grad_norm: 10.8550 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1473 loss: 1.1473 2022/06/28 20:45:25 - mmengine - INFO - Epoch(train) [93][480/3757] lr: 1.000e-04 eta: 2:10:48 time: 0.202 data_time: 0.016 memory: 5148 grad_norm: 8.4166 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8536 loss: 0.8536 2022/06/28 20:45:30 - mmengine - INFO - Epoch(train) [93][500/3757] lr: 1.000e-04 eta: 2:10:42 time: 0.203 data_time: 0.019 memory: 5148 grad_norm: 10.9108 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0881 loss: 1.0881 2022/06/28 20:45:35 - mmengine - INFO - Epoch(train) [93][520/3757] lr: 1.000e-04 eta: 2:10:37 time: 0.200 data_time: 0.013 memory: 5148 grad_norm: 9.0854 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6844 loss: 0.6844 2022/06/28 20:45:41 - mmengine - INFO - Epoch(train) [93][540/3757] lr: 1.000e-04 eta: 2:10:32 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 9.8065 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8767 loss: 0.8767 2022/06/28 20:45:46 - mmengine - INFO - Epoch(train) [93][560/3757] lr: 1.000e-04 eta: 2:10:26 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 8.5733 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2541 loss: 1.2541 2022/06/28 20:45:51 - mmengine - INFO - Epoch(train) [93][580/3757] lr: 1.000e-04 eta: 2:10:21 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 8.5135 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7831 loss: 0.7831 2022/06/28 20:45:56 - mmengine - INFO - Epoch(train) [93][600/3757] lr: 1.000e-04 eta: 2:10:16 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 8.6542 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1839 loss: 1.1839 2022/06/28 20:46:02 - mmengine - INFO - Epoch(train) [93][620/3757] lr: 1.000e-04 eta: 2:10:10 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 9.0540 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3067 loss: 1.3067 2022/06/28 20:46:07 - mmengine - INFO - Epoch(train) [93][640/3757] lr: 1.000e-04 eta: 2:10:05 time: 0.337 data_time: 0.006 memory: 5148 grad_norm: 9.3533 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1996 loss: 1.1996 2022/06/28 20:46:12 - mmengine - INFO - Epoch(train) [93][660/3757] lr: 1.000e-04 eta: 2:10:00 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 9.2380 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1195 loss: 1.1195 2022/06/28 20:46:17 - mmengine - INFO - Epoch(train) [93][680/3757] lr: 1.000e-04 eta: 2:09:55 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 9.5341 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2416 loss: 1.2416 2022/06/28 20:46:23 - mmengine - INFO - Epoch(train) [93][700/3757] lr: 1.000e-04 eta: 2:09:49 time: 0.372 data_time: 0.007 memory: 5148 grad_norm: 8.3675 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2602 loss: 1.2602 2022/06/28 20:46:29 - mmengine - INFO - Epoch(train) [93][720/3757] lr: 1.000e-04 eta: 2:09:44 time: 0.279 data_time: 0.011 memory: 5148 grad_norm: 9.4262 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3228 loss: 1.3228 2022/06/28 20:46:34 - mmengine - INFO - Epoch(train) [93][740/3757] lr: 1.000e-04 eta: 2:09:39 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 8.4718 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2496 loss: 1.2496 2022/06/28 20:46:39 - mmengine - INFO - Epoch(train) [93][760/3757] lr: 1.000e-04 eta: 2:09:33 time: 0.271 data_time: 0.022 memory: 5148 grad_norm: 11.0307 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0549 loss: 1.0549 2022/06/28 20:46:44 - mmengine - INFO - Epoch(train) [93][780/3757] lr: 1.000e-04 eta: 2:09:28 time: 0.219 data_time: 0.016 memory: 5148 grad_norm: 8.1771 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0634 loss: 1.0634 2022/06/28 20:46:50 - mmengine - INFO - Epoch(train) [93][800/3757] lr: 1.000e-04 eta: 2:09:23 time: 0.206 data_time: 0.016 memory: 5148 grad_norm: 7.7586 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1775 loss: 1.1775 2022/06/28 20:46:55 - mmengine - INFO - Epoch(train) [93][820/3757] lr: 1.000e-04 eta: 2:09:17 time: 0.783 data_time: 0.008 memory: 5148 grad_norm: 8.8831 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2808 loss: 1.2808 2022/06/28 20:47:01 - mmengine - INFO - Epoch(train) [93][840/3757] lr: 1.000e-04 eta: 2:09:12 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 8.9559 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9263 loss: 0.9263 2022/06/28 20:47:06 - mmengine - INFO - Epoch(train) [93][860/3757] lr: 1.000e-04 eta: 2:09:07 time: 0.209 data_time: 0.017 memory: 5148 grad_norm: 9.0929 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1998 loss: 1.1998 2022/06/28 20:47:12 - mmengine - INFO - Epoch(train) [93][880/3757] lr: 1.000e-04 eta: 2:09:02 time: 0.675 data_time: 0.011 memory: 5148 grad_norm: 9.7832 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0247 loss: 1.0247 2022/06/28 20:47:16 - mmengine - INFO - Epoch(train) [93][900/3757] lr: 1.000e-04 eta: 2:08:56 time: 0.204 data_time: 0.014 memory: 5148 grad_norm: 8.2376 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0436 loss: 1.0436 2022/06/28 20:47:22 - mmengine - INFO - Epoch(train) [93][920/3757] lr: 1.000e-04 eta: 2:08:51 time: 0.218 data_time: 0.010 memory: 5148 grad_norm: 7.0239 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0518 loss: 1.0518 2022/06/28 20:47:28 - mmengine - INFO - Epoch(train) [93][940/3757] lr: 1.000e-04 eta: 2:08:46 time: 1.055 data_time: 0.007 memory: 5148 grad_norm: 8.0393 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4752 loss: 1.4752 2022/06/28 20:47:33 - mmengine - INFO - Epoch(train) [93][960/3757] lr: 1.000e-04 eta: 2:08:40 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 9.6656 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1254 loss: 1.1254 2022/06/28 20:47:38 - mmengine - INFO - Epoch(train) [93][980/3757] lr: 1.000e-04 eta: 2:08:35 time: 0.219 data_time: 0.024 memory: 5148 grad_norm: 9.4451 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2637 loss: 1.2637 2022/06/28 20:47:44 - mmengine - INFO - Epoch(train) [93][1000/3757] lr: 1.000e-04 eta: 2:08:30 time: 0.966 data_time: 0.011 memory: 5148 grad_norm: 9.4145 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7844 loss: 0.7844 2022/06/28 20:47:48 - mmengine - INFO - Epoch(train) [93][1020/3757] lr: 1.000e-04 eta: 2:08:24 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 8.6248 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4107 loss: 1.4107 2022/06/28 20:47:54 - mmengine - INFO - Epoch(train) [93][1040/3757] lr: 1.000e-04 eta: 2:08:19 time: 0.208 data_time: 0.018 memory: 5148 grad_norm: 9.3051 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9197 loss: 0.9197 2022/06/28 20:47:59 - mmengine - INFO - Epoch(train) [93][1060/3757] lr: 1.000e-04 eta: 2:08:14 time: 0.401 data_time: 0.010 memory: 5148 grad_norm: 8.5810 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8421 loss: 0.8421 2022/06/28 20:48:04 - mmengine - INFO - Epoch(train) [93][1080/3757] lr: 1.000e-04 eta: 2:08:08 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 9.9238 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9863 loss: 0.9863 2022/06/28 20:48:09 - mmengine - INFO - Epoch(train) [93][1100/3757] lr: 1.000e-04 eta: 2:08:03 time: 0.300 data_time: 0.120 memory: 5148 grad_norm: 10.3248 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1094 loss: 1.1094 2022/06/28 20:48:14 - mmengine - INFO - Epoch(train) [93][1120/3757] lr: 1.000e-04 eta: 2:07:58 time: 0.210 data_time: 0.014 memory: 5148 grad_norm: 9.1150 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1653 loss: 1.1653 2022/06/28 20:48:20 - mmengine - INFO - Epoch(train) [93][1140/3757] lr: 1.000e-04 eta: 2:07:52 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 9.3434 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1689 loss: 1.1689 2022/06/28 20:48:25 - mmengine - INFO - Epoch(train) [93][1160/3757] lr: 1.000e-04 eta: 2:07:47 time: 0.219 data_time: 0.030 memory: 5148 grad_norm: 10.2353 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1121 loss: 1.1121 2022/06/28 20:48:30 - mmengine - INFO - Epoch(train) [93][1180/3757] lr: 1.000e-04 eta: 2:07:42 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 9.4680 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4683 loss: 1.4683 2022/06/28 20:48:36 - mmengine - INFO - Epoch(train) [93][1200/3757] lr: 1.000e-04 eta: 2:07:37 time: 0.198 data_time: 0.012 memory: 5148 grad_norm: 8.6391 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3968 loss: 1.3968 2022/06/28 20:48:41 - mmengine - INFO - Epoch(train) [93][1220/3757] lr: 1.000e-04 eta: 2:07:31 time: 0.225 data_time: 0.040 memory: 5148 grad_norm: 7.8793 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9695 loss: 0.9695 2022/06/28 20:48:46 - mmengine - INFO - Epoch(train) [93][1240/3757] lr: 1.000e-04 eta: 2:07:26 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 8.9923 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2795 loss: 1.2795 2022/06/28 20:48:52 - mmengine - INFO - Epoch(train) [93][1260/3757] lr: 1.000e-04 eta: 2:07:21 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 9.1291 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2363 loss: 1.2363 2022/06/28 20:48:57 - mmengine - INFO - Epoch(train) [93][1280/3757] lr: 1.000e-04 eta: 2:07:15 time: 0.459 data_time: 0.282 memory: 5148 grad_norm: 8.6689 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5158 loss: 1.5158 2022/06/28 20:49:02 - mmengine - INFO - Epoch(train) [93][1300/3757] lr: 1.000e-04 eta: 2:07:10 time: 0.212 data_time: 0.008 memory: 5148 grad_norm: 10.7962 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2241 loss: 1.2241 2022/06/28 20:49:08 - mmengine - INFO - Epoch(train) [93][1320/3757] lr: 1.000e-04 eta: 2:07:05 time: 0.194 data_time: 0.011 memory: 5148 grad_norm: 7.3464 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7032 loss: 0.7032 2022/06/28 20:49:14 - mmengine - INFO - Epoch(train) [93][1340/3757] lr: 1.000e-04 eta: 2:06:59 time: 0.894 data_time: 0.013 memory: 5148 grad_norm: 9.8902 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9999 loss: 0.9999 2022/06/28 20:49:18 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 20:49:19 - mmengine - INFO - Epoch(train) [93][1360/3757] lr: 1.000e-04 eta: 2:06:54 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 9.4820 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2650 loss: 1.2650 2022/06/28 20:49:24 - mmengine - INFO - Epoch(train) [93][1380/3757] lr: 1.000e-04 eta: 2:06:49 time: 0.214 data_time: 0.008 memory: 5148 grad_norm: 9.9205 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1412 loss: 1.1412 2022/06/28 20:49:29 - mmengine - INFO - Epoch(train) [93][1400/3757] lr: 1.000e-04 eta: 2:06:44 time: 0.400 data_time: 0.022 memory: 5148 grad_norm: 6.9525 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9741 loss: 0.9741 2022/06/28 20:49:35 - mmengine - INFO - Epoch(train) [93][1420/3757] lr: 1.000e-04 eta: 2:06:38 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 10.0768 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2108 loss: 1.2108 2022/06/28 20:49:41 - mmengine - INFO - Epoch(train) [93][1440/3757] lr: 1.000e-04 eta: 2:06:33 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 8.3798 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3470 loss: 1.3470 2022/06/28 20:49:46 - mmengine - INFO - Epoch(train) [93][1460/3757] lr: 1.000e-04 eta: 2:06:28 time: 1.026 data_time: 0.022 memory: 5148 grad_norm: 8.0581 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2034 loss: 1.2034 2022/06/28 20:49:51 - mmengine - INFO - Epoch(train) [93][1480/3757] lr: 1.000e-04 eta: 2:06:22 time: 0.221 data_time: 0.008 memory: 5148 grad_norm: 8.2602 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.7581 loss: 0.7581 2022/06/28 20:49:56 - mmengine - INFO - Epoch(train) [93][1500/3757] lr: 1.000e-04 eta: 2:06:17 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 10.3633 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9710 loss: 0.9710 2022/06/28 20:50:02 - mmengine - INFO - Epoch(train) [93][1520/3757] lr: 1.000e-04 eta: 2:06:12 time: 0.758 data_time: 0.025 memory: 5148 grad_norm: 10.1232 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2998 loss: 1.2998 2022/06/28 20:50:07 - mmengine - INFO - Epoch(train) [93][1540/3757] lr: 1.000e-04 eta: 2:06:06 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 9.9733 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1452 loss: 1.1452 2022/06/28 20:50:13 - mmengine - INFO - Epoch(train) [93][1560/3757] lr: 1.000e-04 eta: 2:06:01 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 8.9806 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9674 loss: 0.9674 2022/06/28 20:50:18 - mmengine - INFO - Epoch(train) [93][1580/3757] lr: 1.000e-04 eta: 2:05:56 time: 1.074 data_time: 0.011 memory: 5148 grad_norm: 9.8905 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9696 loss: 0.9696 2022/06/28 20:50:23 - mmengine - INFO - Epoch(train) [93][1600/3757] lr: 1.000e-04 eta: 2:05:50 time: 0.206 data_time: 0.015 memory: 5148 grad_norm: 9.3078 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0078 loss: 1.0078 2022/06/28 20:50:28 - mmengine - INFO - Epoch(train) [93][1620/3757] lr: 1.000e-04 eta: 2:05:45 time: 0.197 data_time: 0.016 memory: 5148 grad_norm: 8.3854 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8354 loss: 0.8354 2022/06/28 20:50:33 - mmengine - INFO - Epoch(train) [93][1640/3757] lr: 1.000e-04 eta: 2:05:40 time: 0.200 data_time: 0.014 memory: 5148 grad_norm: 10.9765 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3025 loss: 1.3025 2022/06/28 20:50:38 - mmengine - INFO - Epoch(train) [93][1660/3757] lr: 1.000e-04 eta: 2:05:34 time: 0.605 data_time: 0.007 memory: 5148 grad_norm: 11.3652 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1692 loss: 1.1692 2022/06/28 20:50:43 - mmengine - INFO - Epoch(train) [93][1680/3757] lr: 1.000e-04 eta: 2:05:29 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 11.2368 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5209 loss: 1.5209 2022/06/28 20:50:49 - mmengine - INFO - Epoch(train) [93][1700/3757] lr: 1.000e-04 eta: 2:05:24 time: 0.565 data_time: 0.008 memory: 5148 grad_norm: 9.2941 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0577 loss: 1.0577 2022/06/28 20:50:54 - mmengine - INFO - Epoch(train) [93][1720/3757] lr: 1.000e-04 eta: 2:05:19 time: 0.220 data_time: 0.008 memory: 5148 grad_norm: 7.8406 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9329 loss: 0.9329 2022/06/28 20:51:00 - mmengine - INFO - Epoch(train) [93][1740/3757] lr: 1.000e-04 eta: 2:05:13 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 9.3060 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2400 loss: 1.2400 2022/06/28 20:51:05 - mmengine - INFO - Epoch(train) [93][1760/3757] lr: 1.000e-04 eta: 2:05:08 time: 0.284 data_time: 0.007 memory: 5148 grad_norm: 9.0503 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3061 loss: 1.3061 2022/06/28 20:51:11 - mmengine - INFO - Epoch(train) [93][1780/3757] lr: 1.000e-04 eta: 2:05:03 time: 0.435 data_time: 0.007 memory: 5148 grad_norm: 11.1302 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9953 loss: 0.9953 2022/06/28 20:51:16 - mmengine - INFO - Epoch(train) [93][1800/3757] lr: 1.000e-04 eta: 2:04:57 time: 0.221 data_time: 0.007 memory: 5148 grad_norm: 11.1575 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9151 loss: 0.9151 2022/06/28 20:51:21 - mmengine - INFO - Epoch(train) [93][1820/3757] lr: 1.000e-04 eta: 2:04:52 time: 0.209 data_time: 0.013 memory: 5148 grad_norm: 11.2690 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1843 loss: 1.1843 2022/06/28 20:51:27 - mmengine - INFO - Epoch(train) [93][1840/3757] lr: 1.000e-04 eta: 2:04:47 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 9.4125 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0631 loss: 1.0631 2022/06/28 20:51:33 - mmengine - INFO - Epoch(train) [93][1860/3757] lr: 1.000e-04 eta: 2:04:42 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 8.0466 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3028 loss: 1.3028 2022/06/28 20:51:37 - mmengine - INFO - Epoch(train) [93][1880/3757] lr: 1.000e-04 eta: 2:04:36 time: 0.210 data_time: 0.012 memory: 5148 grad_norm: 9.6430 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5841 loss: 1.5841 2022/06/28 20:51:43 - mmengine - INFO - Epoch(train) [93][1900/3757] lr: 1.000e-04 eta: 2:04:31 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 8.3763 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9427 loss: 0.9427 2022/06/28 20:51:48 - mmengine - INFO - Epoch(train) [93][1920/3757] lr: 1.000e-04 eta: 2:04:26 time: 0.654 data_time: 0.476 memory: 5148 grad_norm: 8.5063 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8913 loss: 0.8913 2022/06/28 20:51:54 - mmengine - INFO - Epoch(train) [93][1940/3757] lr: 1.000e-04 eta: 2:04:20 time: 0.218 data_time: 0.007 memory: 5148 grad_norm: 8.9507 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4027 loss: 1.4027 2022/06/28 20:51:59 - mmengine - INFO - Epoch(train) [93][1960/3757] lr: 1.000e-04 eta: 2:04:15 time: 0.231 data_time: 0.007 memory: 5148 grad_norm: 10.0291 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8414 loss: 0.8414 2022/06/28 20:52:04 - mmengine - INFO - Epoch(train) [93][1980/3757] lr: 1.000e-04 eta: 2:04:10 time: 0.209 data_time: 0.025 memory: 5148 grad_norm: 8.6165 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1078 loss: 1.1078 2022/06/28 20:52:10 - mmengine - INFO - Epoch(train) [93][2000/3757] lr: 1.000e-04 eta: 2:04:04 time: 0.225 data_time: 0.007 memory: 5148 grad_norm: 8.6028 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3147 loss: 1.3147 2022/06/28 20:52:15 - mmengine - INFO - Epoch(train) [93][2020/3757] lr: 1.000e-04 eta: 2:03:59 time: 0.252 data_time: 0.008 memory: 5148 grad_norm: 9.2559 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9770 loss: 0.9770 2022/06/28 20:52:20 - mmengine - INFO - Epoch(train) [93][2040/3757] lr: 1.000e-04 eta: 2:03:54 time: 0.205 data_time: 0.022 memory: 5148 grad_norm: 8.3545 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1021 loss: 1.1021 2022/06/28 20:52:26 - mmengine - INFO - Epoch(train) [93][2060/3757] lr: 1.000e-04 eta: 2:03:48 time: 0.434 data_time: 0.007 memory: 5148 grad_norm: 10.0101 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0078 loss: 1.0078 2022/06/28 20:52:31 - mmengine - INFO - Epoch(train) [93][2080/3757] lr: 1.000e-04 eta: 2:03:43 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 9.8209 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2715 loss: 1.2715 2022/06/28 20:52:37 - mmengine - INFO - Epoch(train) [93][2100/3757] lr: 1.000e-04 eta: 2:03:38 time: 0.229 data_time: 0.042 memory: 5148 grad_norm: 9.7720 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5250 loss: 1.5250 2022/06/28 20:52:42 - mmengine - INFO - Epoch(train) [93][2120/3757] lr: 1.000e-04 eta: 2:03:33 time: 0.712 data_time: 0.008 memory: 5148 grad_norm: 8.0956 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2484 loss: 1.2484 2022/06/28 20:52:47 - mmengine - INFO - Epoch(train) [93][2140/3757] lr: 1.000e-04 eta: 2:03:27 time: 0.216 data_time: 0.008 memory: 5148 grad_norm: 8.9386 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0498 loss: 1.0498 2022/06/28 20:52:52 - mmengine - INFO - Epoch(train) [93][2160/3757] lr: 1.000e-04 eta: 2:03:22 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 7.6720 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2592 loss: 1.2592 2022/06/28 20:52:58 - mmengine - INFO - Epoch(train) [93][2180/3757] lr: 1.000e-04 eta: 2:03:17 time: 0.211 data_time: 0.008 memory: 5148 grad_norm: 9.8692 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6602 loss: 1.6602 2022/06/28 20:53:03 - mmengine - INFO - Epoch(train) [93][2200/3757] lr: 1.000e-04 eta: 2:03:11 time: 0.246 data_time: 0.007 memory: 5148 grad_norm: 10.9621 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2210 loss: 1.2210 2022/06/28 20:53:08 - mmengine - INFO - Epoch(train) [93][2220/3757] lr: 1.000e-04 eta: 2:03:06 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 6.9461 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4847 loss: 1.4847 2022/06/28 20:53:14 - mmengine - INFO - Epoch(train) [93][2240/3757] lr: 1.000e-04 eta: 2:03:01 time: 0.220 data_time: 0.007 memory: 5148 grad_norm: 6.9550 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9099 loss: 0.9099 2022/06/28 20:53:19 - mmengine - INFO - Epoch(train) [93][2260/3757] lr: 1.000e-04 eta: 2:02:55 time: 0.233 data_time: 0.008 memory: 5148 grad_norm: 9.4011 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3348 loss: 1.3348 2022/06/28 20:53:25 - mmengine - INFO - Epoch(train) [93][2280/3757] lr: 1.000e-04 eta: 2:02:50 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 8.5180 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9332 loss: 0.9332 2022/06/28 20:53:30 - mmengine - INFO - Epoch(train) [93][2300/3757] lr: 1.000e-04 eta: 2:02:45 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 9.3145 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0608 loss: 1.0608 2022/06/28 20:53:35 - mmengine - INFO - Epoch(train) [93][2320/3757] lr: 1.000e-04 eta: 2:02:39 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 9.3524 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2568 loss: 1.2568 2022/06/28 20:53:42 - mmengine - INFO - Epoch(train) [93][2340/3757] lr: 1.000e-04 eta: 2:02:34 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 8.7912 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1387 loss: 1.1387 2022/06/28 20:53:46 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 20:53:47 - mmengine - INFO - Epoch(train) [93][2360/3757] lr: 1.000e-04 eta: 2:02:29 time: 0.219 data_time: 0.031 memory: 5148 grad_norm: 9.8777 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2620 loss: 1.2620 2022/06/28 20:53:52 - mmengine - INFO - Epoch(train) [93][2380/3757] lr: 1.000e-04 eta: 2:02:24 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 7.0440 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8666 loss: 0.8666 2022/06/28 20:53:58 - mmengine - INFO - Epoch(train) [93][2400/3757] lr: 1.000e-04 eta: 2:02:18 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 9.4538 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4093 loss: 1.4093 2022/06/28 20:54:03 - mmengine - INFO - Epoch(train) [93][2420/3757] lr: 1.000e-04 eta: 2:02:13 time: 0.478 data_time: 0.299 memory: 5148 grad_norm: 9.1427 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2783 loss: 1.2783 2022/06/28 20:54:08 - mmengine - INFO - Epoch(train) [93][2440/3757] lr: 1.000e-04 eta: 2:02:08 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 9.1063 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1945 loss: 1.1945 2022/06/28 20:54:14 - mmengine - INFO - Epoch(train) [93][2460/3757] lr: 1.000e-04 eta: 2:02:02 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 9.1383 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8444 loss: 0.8444 2022/06/28 20:54:20 - mmengine - INFO - Epoch(train) [93][2480/3757] lr: 1.000e-04 eta: 2:01:57 time: 1.405 data_time: 1.148 memory: 5148 grad_norm: 7.7140 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2209 loss: 1.2209 2022/06/28 20:54:24 - mmengine - INFO - Epoch(train) [93][2500/3757] lr: 1.000e-04 eta: 2:01:52 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 7.6967 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2653 loss: 1.2653 2022/06/28 20:54:29 - mmengine - INFO - Epoch(train) [93][2520/3757] lr: 1.000e-04 eta: 2:01:46 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 9.8369 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4862 loss: 1.4862 2022/06/28 20:54:34 - mmengine - INFO - Epoch(train) [93][2540/3757] lr: 1.000e-04 eta: 2:01:41 time: 0.256 data_time: 0.068 memory: 5148 grad_norm: 8.4840 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5961 loss: 1.5961 2022/06/28 20:54:41 - mmengine - INFO - Epoch(train) [93][2560/3757] lr: 1.000e-04 eta: 2:01:36 time: 0.216 data_time: 0.010 memory: 5148 grad_norm: 9.5728 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3055 loss: 1.3055 2022/06/28 20:54:45 - mmengine - INFO - Epoch(train) [93][2580/3757] lr: 1.000e-04 eta: 2:01:31 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 9.1568 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0171 loss: 1.0171 2022/06/28 20:54:51 - mmengine - INFO - Epoch(train) [93][2600/3757] lr: 1.000e-04 eta: 2:01:25 time: 0.210 data_time: 0.010 memory: 5148 grad_norm: 9.0890 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8675 loss: 0.8675 2022/06/28 20:54:57 - mmengine - INFO - Epoch(train) [93][2620/3757] lr: 1.000e-04 eta: 2:01:20 time: 0.226 data_time: 0.006 memory: 5148 grad_norm: 11.5279 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2681 loss: 1.2681 2022/06/28 20:55:02 - mmengine - INFO - Epoch(train) [93][2640/3757] lr: 1.000e-04 eta: 2:01:15 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 9.3351 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1747 loss: 1.1747 2022/06/28 20:55:08 - mmengine - INFO - Epoch(train) [93][2660/3757] lr: 1.000e-04 eta: 2:01:09 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 8.8372 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1080 loss: 1.1080 2022/06/28 20:55:13 - mmengine - INFO - Epoch(train) [93][2680/3757] lr: 1.000e-04 eta: 2:01:04 time: 0.226 data_time: 0.007 memory: 5148 grad_norm: 6.5315 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1100 loss: 1.1100 2022/06/28 20:55:18 - mmengine - INFO - Epoch(train) [93][2700/3757] lr: 1.000e-04 eta: 2:00:59 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 10.0407 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9550 loss: 0.9550 2022/06/28 20:55:23 - mmengine - INFO - Epoch(train) [93][2720/3757] lr: 1.000e-04 eta: 2:00:53 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 10.0209 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5323 loss: 1.5323 2022/06/28 20:55:28 - mmengine - INFO - Epoch(train) [93][2740/3757] lr: 1.000e-04 eta: 2:00:48 time: 0.223 data_time: 0.007 memory: 5148 grad_norm: 9.0600 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2724 loss: 1.2724 2022/06/28 20:55:33 - mmengine - INFO - Epoch(train) [93][2760/3757] lr: 1.000e-04 eta: 2:00:43 time: 0.218 data_time: 0.008 memory: 5148 grad_norm: 10.2860 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0772 loss: 1.0772 2022/06/28 20:55:39 - mmengine - INFO - Epoch(train) [93][2780/3757] lr: 1.000e-04 eta: 2:00:37 time: 0.207 data_time: 0.014 memory: 5148 grad_norm: 9.2165 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2870 loss: 1.2870 2022/06/28 20:55:44 - mmengine - INFO - Epoch(train) [93][2800/3757] lr: 1.000e-04 eta: 2:00:32 time: 0.330 data_time: 0.007 memory: 5148 grad_norm: 9.6222 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1690 loss: 1.1690 2022/06/28 20:55:49 - mmengine - INFO - Epoch(train) [93][2820/3757] lr: 1.000e-04 eta: 2:00:27 time: 0.212 data_time: 0.008 memory: 5148 grad_norm: 10.2305 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4218 loss: 1.4218 2022/06/28 20:55:55 - mmengine - INFO - Epoch(train) [93][2840/3757] lr: 1.000e-04 eta: 2:00:22 time: 0.483 data_time: 0.013 memory: 5148 grad_norm: 8.1587 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5448 loss: 1.5448 2022/06/28 20:56:00 - mmengine - INFO - Epoch(train) [93][2860/3757] lr: 1.000e-04 eta: 2:00:16 time: 0.296 data_time: 0.019 memory: 5148 grad_norm: 11.6745 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4012 loss: 1.4012 2022/06/28 20:56:06 - mmengine - INFO - Epoch(train) [93][2880/3757] lr: 1.000e-04 eta: 2:00:11 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 8.8717 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9476 loss: 0.9476 2022/06/28 20:56:11 - mmengine - INFO - Epoch(train) [93][2900/3757] lr: 1.000e-04 eta: 2:00:06 time: 0.673 data_time: 0.011 memory: 5148 grad_norm: 9.0162 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2882 loss: 1.2882 2022/06/28 20:56:17 - mmengine - INFO - Epoch(train) [93][2920/3757] lr: 1.000e-04 eta: 2:00:00 time: 0.219 data_time: 0.017 memory: 5148 grad_norm: 9.5233 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1048 loss: 1.1048 2022/06/28 20:56:23 - mmengine - INFO - Epoch(train) [93][2940/3757] lr: 1.000e-04 eta: 1:59:55 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 9.0539 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5089 loss: 1.5089 2022/06/28 20:56:27 - mmengine - INFO - Epoch(train) [93][2960/3757] lr: 1.000e-04 eta: 1:59:50 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 10.0197 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1374 loss: 1.1374 2022/06/28 20:56:32 - mmengine - INFO - Epoch(train) [93][2980/3757] lr: 1.000e-04 eta: 1:59:44 time: 0.198 data_time: 0.012 memory: 5148 grad_norm: 10.2748 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9543 loss: 0.9543 2022/06/28 20:56:38 - mmengine - INFO - Epoch(train) [93][3000/3757] lr: 1.000e-04 eta: 1:59:39 time: 0.200 data_time: 0.012 memory: 5148 grad_norm: 10.2370 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1686 loss: 1.1686 2022/06/28 20:56:43 - mmengine - INFO - Epoch(train) [93][3020/3757] lr: 1.000e-04 eta: 1:59:34 time: 0.222 data_time: 0.006 memory: 5148 grad_norm: 7.1220 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2183 loss: 1.2183 2022/06/28 20:56:49 - mmengine - INFO - Epoch(train) [93][3040/3757] lr: 1.000e-04 eta: 1:59:29 time: 0.208 data_time: 0.013 memory: 5148 grad_norm: 9.9332 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.3143 loss: 1.3143 2022/06/28 20:56:54 - mmengine - INFO - Epoch(train) [93][3060/3757] lr: 1.000e-04 eta: 1:59:23 time: 0.222 data_time: 0.010 memory: 5148 grad_norm: 10.7170 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7692 loss: 1.7692 2022/06/28 20:56:59 - mmengine - INFO - Epoch(train) [93][3080/3757] lr: 1.000e-04 eta: 1:59:18 time: 0.206 data_time: 0.020 memory: 5148 grad_norm: 7.8037 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1220 loss: 1.1220 2022/06/28 20:57:05 - mmengine - INFO - Epoch(train) [93][3100/3757] lr: 1.000e-04 eta: 1:59:13 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 7.4267 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9325 loss: 0.9325 2022/06/28 20:57:10 - mmengine - INFO - Epoch(train) [93][3120/3757] lr: 1.000e-04 eta: 1:59:07 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 9.7231 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0425 loss: 1.0425 2022/06/28 20:57:15 - mmengine - INFO - Epoch(train) [93][3140/3757] lr: 1.000e-04 eta: 1:59:02 time: 0.230 data_time: 0.007 memory: 5148 grad_norm: 9.3972 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9017 loss: 0.9017 2022/06/28 20:57:21 - mmengine - INFO - Epoch(train) [93][3160/3757] lr: 1.000e-04 eta: 1:58:57 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 8.7327 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6569 loss: 1.6569 2022/06/28 20:57:26 - mmengine - INFO - Epoch(train) [93][3180/3757] lr: 1.000e-04 eta: 1:58:51 time: 0.202 data_time: 0.015 memory: 5148 grad_norm: 9.1706 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0639 loss: 1.0639 2022/06/28 20:57:31 - mmengine - INFO - Epoch(train) [93][3200/3757] lr: 1.000e-04 eta: 1:58:46 time: 0.224 data_time: 0.007 memory: 5148 grad_norm: 9.5108 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.4625 loss: 1.4625 2022/06/28 20:57:37 - mmengine - INFO - Epoch(train) [93][3220/3757] lr: 1.000e-04 eta: 1:58:41 time: 0.201 data_time: 0.012 memory: 5148 grad_norm: 8.9365 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8889 loss: 0.8889 2022/06/28 20:57:42 - mmengine - INFO - Epoch(train) [93][3240/3757] lr: 1.000e-04 eta: 1:58:35 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 8.8001 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9002 loss: 0.9002 2022/06/28 20:57:47 - mmengine - INFO - Epoch(train) [93][3260/3757] lr: 1.000e-04 eta: 1:58:30 time: 0.488 data_time: 0.019 memory: 5148 grad_norm: 7.3579 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0049 loss: 1.0049 2022/06/28 20:57:52 - mmengine - INFO - Epoch(train) [93][3280/3757] lr: 1.000e-04 eta: 1:58:25 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 10.3791 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2062 loss: 1.2062 2022/06/28 20:57:57 - mmengine - INFO - Epoch(train) [93][3300/3757] lr: 1.000e-04 eta: 1:58:19 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 10.6375 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3110 loss: 1.3110 2022/06/28 20:58:02 - mmengine - INFO - Epoch(train) [93][3320/3757] lr: 1.000e-04 eta: 1:58:14 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 9.6381 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9645 loss: 0.9645 2022/06/28 20:58:07 - mmengine - INFO - Epoch(train) [93][3340/3757] lr: 1.000e-04 eta: 1:58:09 time: 0.212 data_time: 0.023 memory: 5148 grad_norm: 8.1022 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8996 loss: 0.8996 2022/06/28 20:58:11 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 20:58:12 - mmengine - INFO - Epoch(train) [93][3360/3757] lr: 1.000e-04 eta: 1:58:03 time: 0.219 data_time: 0.007 memory: 5148 grad_norm: 8.9840 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2582 loss: 1.2582 2022/06/28 20:58:18 - mmengine - INFO - Epoch(train) [93][3380/3757] lr: 1.000e-04 eta: 1:57:58 time: 0.221 data_time: 0.007 memory: 5148 grad_norm: 8.4550 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0797 loss: 1.0797 2022/06/28 20:58:25 - mmengine - INFO - Epoch(train) [93][3400/3757] lr: 1.000e-04 eta: 1:57:53 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 8.5639 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9905 loss: 0.9905 2022/06/28 20:58:29 - mmengine - INFO - Epoch(train) [93][3420/3757] lr: 1.000e-04 eta: 1:57:48 time: 0.212 data_time: 0.008 memory: 5148 grad_norm: 8.8609 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3348 loss: 1.3348 2022/06/28 20:58:34 - mmengine - INFO - Epoch(train) [93][3440/3757] lr: 1.000e-04 eta: 1:57:42 time: 0.217 data_time: 0.016 memory: 5148 grad_norm: 9.1471 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3856 loss: 1.3856 2022/06/28 20:58:40 - mmengine - INFO - Epoch(train) [93][3460/3757] lr: 1.000e-04 eta: 1:57:37 time: 0.228 data_time: 0.031 memory: 5148 grad_norm: 10.8215 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2442 loss: 1.2442 2022/06/28 20:58:45 - mmengine - INFO - Epoch(train) [93][3480/3757] lr: 1.000e-04 eta: 1:57:32 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 9.1420 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0400 loss: 1.0400 2022/06/28 20:58:50 - mmengine - INFO - Epoch(train) [93][3500/3757] lr: 1.000e-04 eta: 1:57:26 time: 0.268 data_time: 0.007 memory: 5148 grad_norm: 9.7504 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7755 loss: 0.7755 2022/06/28 20:58:56 - mmengine - INFO - Epoch(train) [93][3520/3757] lr: 1.000e-04 eta: 1:57:21 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 8.0061 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4620 loss: 1.4620 2022/06/28 20:59:01 - mmengine - INFO - Epoch(train) [93][3540/3757] lr: 1.000e-04 eta: 1:57:16 time: 0.199 data_time: 0.020 memory: 5148 grad_norm: 9.9507 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2440 loss: 1.2440 2022/06/28 20:59:06 - mmengine - INFO - Epoch(train) [93][3560/3757] lr: 1.000e-04 eta: 1:57:10 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 10.2366 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0490 loss: 1.0490 2022/06/28 20:59:11 - mmengine - INFO - Epoch(train) [93][3580/3757] lr: 1.000e-04 eta: 1:57:05 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 8.1768 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1038 loss: 1.1038 2022/06/28 20:59:17 - mmengine - INFO - Epoch(train) [93][3600/3757] lr: 1.000e-04 eta: 1:57:00 time: 0.199 data_time: 0.012 memory: 5148 grad_norm: 9.0728 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3839 loss: 1.3839 2022/06/28 20:59:22 - mmengine - INFO - Epoch(train) [93][3620/3757] lr: 1.000e-04 eta: 1:56:55 time: 0.215 data_time: 0.008 memory: 5148 grad_norm: 10.2583 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9516 loss: 0.9516 2022/06/28 20:59:27 - mmengine - INFO - Epoch(train) [93][3640/3757] lr: 1.000e-04 eta: 1:56:49 time: 0.221 data_time: 0.007 memory: 5148 grad_norm: 9.6529 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.6890 loss: 0.6890 2022/06/28 20:59:33 - mmengine - INFO - Epoch(train) [93][3660/3757] lr: 1.000e-04 eta: 1:56:44 time: 0.221 data_time: 0.038 memory: 5148 grad_norm: 9.0043 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2347 loss: 1.2347 2022/06/28 20:59:38 - mmengine - INFO - Epoch(train) [93][3680/3757] lr: 1.000e-04 eta: 1:56:39 time: 0.224 data_time: 0.008 memory: 5148 grad_norm: 9.2698 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3342 loss: 1.3342 2022/06/28 20:59:43 - mmengine - INFO - Epoch(train) [93][3700/3757] lr: 1.000e-04 eta: 1:56:33 time: 0.231 data_time: 0.010 memory: 5148 grad_norm: 9.3364 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9491 loss: 0.9491 2022/06/28 20:59:49 - mmengine - INFO - Epoch(train) [93][3720/3757] lr: 1.000e-04 eta: 1:56:28 time: 0.215 data_time: 0.021 memory: 5148 grad_norm: 9.8748 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9086 loss: 0.9086 2022/06/28 20:59:53 - mmengine - INFO - Epoch(train) [93][3740/3757] lr: 1.000e-04 eta: 1:56:23 time: 0.212 data_time: 0.012 memory: 5148 grad_norm: 9.0390 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1447 loss: 1.1447 2022/06/28 20:59:57 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 21:00:04 - mmengine - INFO - Epoch(val) [93][20/310] eta: 0:01:03 time: 0.165 data_time: 0.085 memory: 5148 2022/06/28 21:00:08 - mmengine - INFO - Epoch(val) [93][40/310] eta: 0:00:55 time: 0.087 data_time: 0.008 memory: 1367 2022/06/28 21:00:14 - mmengine - INFO - Epoch(val) [93][60/310] eta: 0:01:00 time: 0.207 data_time: 0.135 memory: 1367 2022/06/28 21:00:19 - mmengine - INFO - Epoch(val) [93][80/310] eta: 0:01:00 time: 0.326 data_time: 0.249 memory: 1367 2022/06/28 21:00:24 - mmengine - INFO - Epoch(val) [93][100/310] eta: 0:01:00 time: 0.713 data_time: 0.641 memory: 1367 2022/06/28 21:00:29 - mmengine - INFO - Epoch(val) [93][120/310] eta: 0:00:59 time: 0.085 data_time: 0.005 memory: 1367 2022/06/28 21:00:35 - mmengine - INFO - Epoch(val) [93][140/310] eta: 0:01:12 time: 2.419 data_time: 2.339 memory: 1367 2022/06/28 21:00:39 - mmengine - INFO - Epoch(val) [93][160/310] eta: 0:00:27 time: 0.081 data_time: 0.005 memory: 1367 2022/06/28 21:00:45 - mmengine - INFO - Epoch(val) [93][180/310] eta: 0:00:42 time: 1.124 data_time: 1.048 memory: 1367 2022/06/28 21:00:49 - mmengine - INFO - Epoch(val) [93][200/310] eta: 0:00:19 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 21:00:54 - mmengine - INFO - Epoch(val) [93][220/310] eta: 0:00:27 time: 1.338 data_time: 1.266 memory: 1367 2022/06/28 21:00:58 - mmengine - INFO - Epoch(val) [93][240/310] eta: 0:00:15 time: 0.083 data_time: 0.005 memory: 1367 2022/06/28 21:01:03 - mmengine - INFO - Epoch(val) [93][260/310] eta: 0:00:15 time: 1.374 data_time: 1.298 memory: 1367 2022/06/28 21:01:07 - mmengine - INFO - Epoch(val) [93][280/310] eta: 0:00:05 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 21:01:12 - mmengine - INFO - Epoch(val) [93][300/310] eta: 0:00:03 time: 1.133 data_time: 1.063 memory: 1367 2022/06/28 21:01:27 - mmengine - INFO - Epoch(val) [93][310/310] acc/top1: 0.6615 acc/top5: 0.8638 acc/mean1: 0.6614 2022/06/28 21:01:36 - mmengine - INFO - Epoch(train) [94][20/3757] lr: 1.000e-04 eta: 1:56:13 time: 0.197 data_time: 0.009 memory: 5148 grad_norm: 9.4179 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9759 loss: 0.9759 2022/06/28 21:01:41 - mmengine - INFO - Epoch(train) [94][40/3757] lr: 1.000e-04 eta: 1:56:08 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 6.6843 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1687 loss: 1.1687 2022/06/28 21:01:46 - mmengine - INFO - Epoch(train) [94][60/3757] lr: 1.000e-04 eta: 1:56:02 time: 0.191 data_time: 0.012 memory: 5148 grad_norm: 8.4293 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8521 loss: 0.8521 2022/06/28 21:01:52 - mmengine - INFO - Epoch(train) [94][80/3757] lr: 1.000e-04 eta: 1:55:57 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 8.6658 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0198 loss: 1.0198 2022/06/28 21:01:57 - mmengine - INFO - Epoch(train) [94][100/3757] lr: 1.000e-04 eta: 1:55:52 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 8.8677 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0474 loss: 1.0474 2022/06/28 21:02:03 - mmengine - INFO - Epoch(train) [94][120/3757] lr: 1.000e-04 eta: 1:55:46 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 10.0236 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8778 loss: 0.8778 2022/06/28 21:02:08 - mmengine - INFO - Epoch(train) [94][140/3757] lr: 1.000e-04 eta: 1:55:41 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 10.0337 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9800 loss: 0.9800 2022/06/28 21:02:14 - mmengine - INFO - Epoch(train) [94][160/3757] lr: 1.000e-04 eta: 1:55:36 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 10.9067 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3745 loss: 1.3745 2022/06/28 21:02:19 - mmengine - INFO - Epoch(train) [94][180/3757] lr: 1.000e-04 eta: 1:55:30 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 9.3838 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8848 loss: 0.8848 2022/06/28 21:02:24 - mmengine - INFO - Epoch(train) [94][200/3757] lr: 1.000e-04 eta: 1:55:25 time: 0.205 data_time: 0.013 memory: 5148 grad_norm: 8.4822 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0616 loss: 1.0616 2022/06/28 21:02:30 - mmengine - INFO - Epoch(train) [94][220/3757] lr: 1.000e-04 eta: 1:55:20 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 8.6875 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8118 loss: 0.8118 2022/06/28 21:02:35 - mmengine - INFO - Epoch(train) [94][240/3757] lr: 1.000e-04 eta: 1:55:15 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 9.3574 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1867 loss: 1.1867 2022/06/28 21:02:40 - mmengine - INFO - Epoch(train) [94][260/3757] lr: 1.000e-04 eta: 1:55:09 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 7.9372 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1989 loss: 1.1989 2022/06/28 21:02:46 - mmengine - INFO - Epoch(train) [94][280/3757] lr: 1.000e-04 eta: 1:55:04 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 8.6628 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9026 loss: 0.9026 2022/06/28 21:02:51 - mmengine - INFO - Epoch(train) [94][300/3757] lr: 1.000e-04 eta: 1:54:59 time: 0.226 data_time: 0.007 memory: 5148 grad_norm: 10.1297 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1865 loss: 1.1865 2022/06/28 21:02:56 - mmengine - INFO - Epoch(train) [94][320/3757] lr: 1.000e-04 eta: 1:54:53 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 9.1720 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4383 loss: 1.4383 2022/06/28 21:03:02 - mmengine - INFO - Epoch(train) [94][340/3757] lr: 1.000e-04 eta: 1:54:48 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 8.8006 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8905 loss: 0.8905 2022/06/28 21:03:07 - mmengine - INFO - Epoch(train) [94][360/3757] lr: 1.000e-04 eta: 1:54:43 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 10.2980 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1873 loss: 1.1873 2022/06/28 21:03:13 - mmengine - INFO - Epoch(train) [94][380/3757] lr: 1.000e-04 eta: 1:54:37 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 8.7164 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1526 loss: 1.1526 2022/06/28 21:03:18 - mmengine - INFO - Epoch(train) [94][400/3757] lr: 1.000e-04 eta: 1:54:32 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 9.4929 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0602 loss: 1.0602 2022/06/28 21:03:23 - mmengine - INFO - Epoch(train) [94][420/3757] lr: 1.000e-04 eta: 1:54:27 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 10.4906 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2201 loss: 1.2201 2022/06/28 21:03:28 - mmengine - INFO - Epoch(train) [94][440/3757] lr: 1.000e-04 eta: 1:54:21 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 9.9703 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1389 loss: 1.1389 2022/06/28 21:03:34 - mmengine - INFO - Epoch(train) [94][460/3757] lr: 1.000e-04 eta: 1:54:16 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 8.8653 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5922 loss: 1.5922 2022/06/28 21:03:39 - mmengine - INFO - Epoch(train) [94][480/3757] lr: 1.000e-04 eta: 1:54:11 time: 0.195 data_time: 0.011 memory: 5148 grad_norm: 9.0496 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2019 loss: 1.2019 2022/06/28 21:03:44 - mmengine - INFO - Epoch(train) [94][500/3757] lr: 1.000e-04 eta: 1:54:06 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 8.0587 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9118 loss: 0.9118 2022/06/28 21:03:51 - mmengine - INFO - Epoch(train) [94][520/3757] lr: 1.000e-04 eta: 1:54:00 time: 0.298 data_time: 0.008 memory: 5148 grad_norm: 10.3726 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0750 loss: 1.0750 2022/06/28 21:03:55 - mmengine - INFO - Epoch(train) [94][540/3757] lr: 1.000e-04 eta: 1:53:55 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 9.8525 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1722 loss: 1.1722 2022/06/28 21:04:00 - mmengine - INFO - Epoch(train) [94][560/3757] lr: 1.000e-04 eta: 1:53:50 time: 0.201 data_time: 0.012 memory: 5148 grad_norm: 10.5299 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0820 loss: 1.0820 2022/06/28 21:04:06 - mmengine - INFO - Epoch(train) [94][580/3757] lr: 1.000e-04 eta: 1:53:44 time: 0.230 data_time: 0.008 memory: 5148 grad_norm: 8.2721 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7813 loss: 0.7813 2022/06/28 21:04:11 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 21:04:11 - mmengine - INFO - Epoch(train) [94][600/3757] lr: 1.000e-04 eta: 1:53:39 time: 0.284 data_time: 0.008 memory: 5148 grad_norm: 9.0950 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9112 loss: 0.9112 2022/06/28 21:04:17 - mmengine - INFO - Epoch(train) [94][620/3757] lr: 1.000e-04 eta: 1:53:34 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 8.6050 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5632 loss: 1.5632 2022/06/28 21:04:22 - mmengine - INFO - Epoch(train) [94][640/3757] lr: 1.000e-04 eta: 1:53:28 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 9.3411 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9539 loss: 0.9539 2022/06/28 21:04:28 - mmengine - INFO - Epoch(train) [94][660/3757] lr: 1.000e-04 eta: 1:53:23 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 8.7724 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9385 loss: 0.9385 2022/06/28 21:04:33 - mmengine - INFO - Epoch(train) [94][680/3757] lr: 1.000e-04 eta: 1:53:18 time: 0.209 data_time: 0.010 memory: 5148 grad_norm: 9.2762 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0200 loss: 1.0200 2022/06/28 21:04:38 - mmengine - INFO - Epoch(train) [94][700/3757] lr: 1.000e-04 eta: 1:53:12 time: 0.201 data_time: 0.012 memory: 5148 grad_norm: 9.4730 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3242 loss: 1.3242 2022/06/28 21:04:43 - mmengine - INFO - Epoch(train) [94][720/3757] lr: 1.000e-04 eta: 1:53:07 time: 0.211 data_time: 0.008 memory: 5148 grad_norm: 9.1809 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0943 loss: 1.0943 2022/06/28 21:04:49 - mmengine - INFO - Epoch(train) [94][740/3757] lr: 1.000e-04 eta: 1:53:02 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 9.9009 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9167 loss: 0.9167 2022/06/28 21:04:54 - mmengine - INFO - Epoch(train) [94][760/3757] lr: 1.000e-04 eta: 1:52:57 time: 0.225 data_time: 0.007 memory: 5148 grad_norm: 8.8917 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9097 loss: 0.9097 2022/06/28 21:05:00 - mmengine - INFO - Epoch(train) [94][780/3757] lr: 1.000e-04 eta: 1:52:51 time: 0.195 data_time: 0.013 memory: 5148 grad_norm: 7.4895 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8820 loss: 0.8820 2022/06/28 21:05:05 - mmengine - INFO - Epoch(train) [94][800/3757] lr: 1.000e-04 eta: 1:52:46 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 9.6450 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2983 loss: 1.2983 2022/06/28 21:05:10 - mmengine - INFO - Epoch(train) [94][820/3757] lr: 1.000e-04 eta: 1:52:41 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 8.1695 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4554 loss: 1.4554 2022/06/28 21:05:15 - mmengine - INFO - Epoch(train) [94][840/3757] lr: 1.000e-04 eta: 1:52:35 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 9.7016 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2342 loss: 1.2342 2022/06/28 21:05:21 - mmengine - INFO - Epoch(train) [94][860/3757] lr: 1.000e-04 eta: 1:52:30 time: 0.218 data_time: 0.021 memory: 5148 grad_norm: 9.1036 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1815 loss: 1.1815 2022/06/28 21:05:26 - mmengine - INFO - Epoch(train) [94][880/3757] lr: 1.000e-04 eta: 1:52:25 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 10.9717 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1205 loss: 1.1205 2022/06/28 21:05:32 - mmengine - INFO - Epoch(train) [94][900/3757] lr: 1.000e-04 eta: 1:52:19 time: 0.213 data_time: 0.008 memory: 5148 grad_norm: 8.4788 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9903 loss: 0.9903 2022/06/28 21:05:37 - mmengine - INFO - Epoch(train) [94][920/3757] lr: 1.000e-04 eta: 1:52:14 time: 0.208 data_time: 0.012 memory: 5148 grad_norm: 9.4664 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9440 loss: 0.9440 2022/06/28 21:05:42 - mmengine - INFO - Epoch(train) [94][940/3757] lr: 1.000e-04 eta: 1:52:09 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 6.9350 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3980 loss: 1.3980 2022/06/28 21:05:48 - mmengine - INFO - Epoch(train) [94][960/3757] lr: 1.000e-04 eta: 1:52:04 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 7.7858 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1402 loss: 1.1402 2022/06/28 21:05:53 - mmengine - INFO - Epoch(train) [94][980/3757] lr: 1.000e-04 eta: 1:51:58 time: 0.812 data_time: 0.017 memory: 5148 grad_norm: 9.5283 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1984 loss: 1.1984 2022/06/28 21:05:59 - mmengine - INFO - Epoch(train) [94][1000/3757] lr: 1.000e-04 eta: 1:51:53 time: 0.204 data_time: 0.009 memory: 5148 grad_norm: 9.3049 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9751 loss: 0.9751 2022/06/28 21:06:04 - mmengine - INFO - Epoch(train) [94][1020/3757] lr: 1.000e-04 eta: 1:51:48 time: 0.205 data_time: 0.012 memory: 5148 grad_norm: 10.3682 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3003 loss: 1.3003 2022/06/28 21:06:09 - mmengine - INFO - Epoch(train) [94][1040/3757] lr: 1.000e-04 eta: 1:51:42 time: 0.217 data_time: 0.010 memory: 5148 grad_norm: 9.5424 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9782 loss: 0.9782 2022/06/28 21:06:14 - mmengine - INFO - Epoch(train) [94][1060/3757] lr: 1.000e-04 eta: 1:51:37 time: 0.200 data_time: 0.016 memory: 5148 grad_norm: 8.0381 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2764 loss: 1.2764 2022/06/28 21:06:19 - mmengine - INFO - Epoch(train) [94][1080/3757] lr: 1.000e-04 eta: 1:51:32 time: 0.206 data_time: 0.018 memory: 5148 grad_norm: 10.4471 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0335 loss: 1.0335 2022/06/28 21:06:25 - mmengine - INFO - Epoch(train) [94][1100/3757] lr: 1.000e-04 eta: 1:51:26 time: 0.776 data_time: 0.010 memory: 5148 grad_norm: 7.4202 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0853 loss: 1.0853 2022/06/28 21:06:30 - mmengine - INFO - Epoch(train) [94][1120/3757] lr: 1.000e-04 eta: 1:51:21 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 7.9169 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3719 loss: 1.3719 2022/06/28 21:06:36 - mmengine - INFO - Epoch(train) [94][1140/3757] lr: 1.000e-04 eta: 1:51:16 time: 0.198 data_time: 0.014 memory: 5148 grad_norm: 10.5235 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9489 loss: 0.9489 2022/06/28 21:06:42 - mmengine - INFO - Epoch(train) [94][1160/3757] lr: 1.000e-04 eta: 1:51:11 time: 0.234 data_time: 0.007 memory: 5148 grad_norm: 9.6351 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9794 loss: 0.9794 2022/06/28 21:06:46 - mmengine - INFO - Epoch(train) [94][1180/3757] lr: 1.000e-04 eta: 1:51:05 time: 0.210 data_time: 0.011 memory: 5148 grad_norm: 9.6116 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9754 loss: 0.9754 2022/06/28 21:06:51 - mmengine - INFO - Epoch(train) [94][1200/3757] lr: 1.000e-04 eta: 1:51:00 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 7.7915 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1292 loss: 1.1292 2022/06/28 21:06:56 - mmengine - INFO - Epoch(train) [94][1220/3757] lr: 1.000e-04 eta: 1:50:54 time: 0.559 data_time: 0.007 memory: 5148 grad_norm: 9.7059 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1894 loss: 1.1894 2022/06/28 21:07:01 - mmengine - INFO - Epoch(train) [94][1240/3757] lr: 1.000e-04 eta: 1:50:49 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 9.5405 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4300 loss: 1.4300 2022/06/28 21:07:08 - mmengine - INFO - Epoch(train) [94][1260/3757] lr: 1.000e-04 eta: 1:50:44 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 9.6202 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7523 loss: 0.7523 2022/06/28 21:07:13 - mmengine - INFO - Epoch(train) [94][1280/3757] lr: 1.000e-04 eta: 1:50:39 time: 0.881 data_time: 0.010 memory: 5148 grad_norm: 8.0938 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2525 loss: 1.2525 2022/06/28 21:07:19 - mmengine - INFO - Epoch(train) [94][1300/3757] lr: 1.000e-04 eta: 1:50:33 time: 0.194 data_time: 0.012 memory: 5148 grad_norm: 9.2622 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2495 loss: 1.2495 2022/06/28 21:07:24 - mmengine - INFO - Epoch(train) [94][1320/3757] lr: 1.000e-04 eta: 1:50:28 time: 0.198 data_time: 0.013 memory: 5148 grad_norm: 8.1992 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2530 loss: 1.2530 2022/06/28 21:07:29 - mmengine - INFO - Epoch(train) [94][1340/3757] lr: 1.000e-04 eta: 1:50:23 time: 0.556 data_time: 0.008 memory: 5148 grad_norm: 9.4497 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1219 loss: 1.1219 2022/06/28 21:07:35 - mmengine - INFO - Epoch(train) [94][1360/3757] lr: 1.000e-04 eta: 1:50:17 time: 0.198 data_time: 0.009 memory: 5148 grad_norm: 9.5052 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9708 loss: 0.9708 2022/06/28 21:07:40 - mmengine - INFO - Epoch(train) [94][1380/3757] lr: 1.000e-04 eta: 1:50:12 time: 0.207 data_time: 0.015 memory: 5148 grad_norm: 10.5432 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2323 loss: 1.2323 2022/06/28 21:07:45 - mmengine - INFO - Epoch(train) [94][1400/3757] lr: 1.000e-04 eta: 1:50:07 time: 0.220 data_time: 0.007 memory: 5148 grad_norm: 10.8040 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3573 loss: 1.3573 2022/06/28 21:07:51 - mmengine - INFO - Epoch(train) [94][1420/3757] lr: 1.000e-04 eta: 1:50:01 time: 0.193 data_time: 0.009 memory: 5148 grad_norm: 8.6481 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2797 loss: 1.2797 2022/06/28 21:07:56 - mmengine - INFO - Epoch(train) [94][1440/3757] lr: 1.000e-04 eta: 1:49:56 time: 0.201 data_time: 0.006 memory: 5148 grad_norm: 9.5600 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0870 loss: 1.0870 2022/06/28 21:08:02 - mmengine - INFO - Epoch(train) [94][1460/3757] lr: 1.000e-04 eta: 1:49:51 time: 0.222 data_time: 0.007 memory: 5148 grad_norm: 9.5519 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9126 loss: 0.9126 2022/06/28 21:08:07 - mmengine - INFO - Epoch(train) [94][1480/3757] lr: 1.000e-04 eta: 1:49:46 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 9.1591 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1442 loss: 1.1442 2022/06/28 21:08:13 - mmengine - INFO - Epoch(train) [94][1500/3757] lr: 1.000e-04 eta: 1:49:40 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 8.8214 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9982 loss: 0.9982 2022/06/28 21:08:17 - mmengine - INFO - Epoch(train) [94][1520/3757] lr: 1.000e-04 eta: 1:49:35 time: 0.212 data_time: 0.009 memory: 5148 grad_norm: 10.2472 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9413 loss: 0.9413 2022/06/28 21:08:22 - mmengine - INFO - Epoch(train) [94][1540/3757] lr: 1.000e-04 eta: 1:49:30 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 10.4980 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1252 loss: 1.1252 2022/06/28 21:08:29 - mmengine - INFO - Epoch(train) [94][1560/3757] lr: 1.000e-04 eta: 1:49:24 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 8.3298 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9624 loss: 0.9624 2022/06/28 21:08:34 - mmengine - INFO - Epoch(train) [94][1580/3757] lr: 1.000e-04 eta: 1:49:19 time: 0.196 data_time: 0.014 memory: 5148 grad_norm: 9.7906 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0990 loss: 1.0990 2022/06/28 21:08:39 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 21:08:39 - mmengine - INFO - Epoch(train) [94][1600/3757] lr: 1.000e-04 eta: 1:49:14 time: 0.204 data_time: 0.018 memory: 5148 grad_norm: 8.8948 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2171 loss: 1.2171 2022/06/28 21:08:44 - mmengine - INFO - Epoch(train) [94][1620/3757] lr: 1.000e-04 eta: 1:49:08 time: 0.233 data_time: 0.009 memory: 5148 grad_norm: 9.4723 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0792 loss: 1.0792 2022/06/28 21:08:49 - mmengine - INFO - Epoch(train) [94][1640/3757] lr: 1.000e-04 eta: 1:49:03 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 9.5387 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8371 loss: 0.8371 2022/06/28 21:08:55 - mmengine - INFO - Epoch(train) [94][1660/3757] lr: 1.000e-04 eta: 1:48:58 time: 0.915 data_time: 0.008 memory: 5148 grad_norm: 9.0877 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1261 loss: 1.1261 2022/06/28 21:09:00 - mmengine - INFO - Epoch(train) [94][1680/3757] lr: 1.000e-04 eta: 1:48:53 time: 0.228 data_time: 0.008 memory: 5148 grad_norm: 9.4668 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0321 loss: 1.0321 2022/06/28 21:09:06 - mmengine - INFO - Epoch(train) [94][1700/3757] lr: 1.000e-04 eta: 1:48:47 time: 0.221 data_time: 0.007 memory: 5148 grad_norm: 9.6220 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3927 loss: 1.3927 2022/06/28 21:09:10 - mmengine - INFO - Epoch(train) [94][1720/3757] lr: 1.000e-04 eta: 1:48:42 time: 0.215 data_time: 0.008 memory: 5148 grad_norm: 10.7484 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1772 loss: 1.1772 2022/06/28 21:09:16 - mmengine - INFO - Epoch(train) [94][1740/3757] lr: 1.000e-04 eta: 1:48:37 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 10.1582 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8116 loss: 0.8116 2022/06/28 21:09:22 - mmengine - INFO - Epoch(train) [94][1760/3757] lr: 1.000e-04 eta: 1:48:31 time: 0.205 data_time: 0.016 memory: 5148 grad_norm: 8.6047 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9124 loss: 0.9124 2022/06/28 21:09:27 - mmengine - INFO - Epoch(train) [94][1780/3757] lr: 1.000e-04 eta: 1:48:26 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 7.9116 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1914 loss: 1.1914 2022/06/28 21:09:32 - mmengine - INFO - Epoch(train) [94][1800/3757] lr: 1.000e-04 eta: 1:48:21 time: 0.205 data_time: 0.018 memory: 5148 grad_norm: 9.1706 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0168 loss: 1.0168 2022/06/28 21:09:38 - mmengine - INFO - Epoch(train) [94][1820/3757] lr: 1.000e-04 eta: 1:48:15 time: 0.200 data_time: 0.013 memory: 5148 grad_norm: 9.0116 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8729 loss: 0.8729 2022/06/28 21:09:43 - mmengine - INFO - Epoch(train) [94][1840/3757] lr: 1.000e-04 eta: 1:48:10 time: 0.198 data_time: 0.013 memory: 5148 grad_norm: 7.3094 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0647 loss: 1.0647 2022/06/28 21:09:49 - mmengine - INFO - Epoch(train) [94][1860/3757] lr: 1.000e-04 eta: 1:48:05 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 8.8739 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0429 loss: 1.0429 2022/06/28 21:09:53 - mmengine - INFO - Epoch(train) [94][1880/3757] lr: 1.000e-04 eta: 1:47:59 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 8.4117 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0151 loss: 1.0151 2022/06/28 21:09:58 - mmengine - INFO - Epoch(train) [94][1900/3757] lr: 1.000e-04 eta: 1:47:54 time: 0.209 data_time: 0.011 memory: 5148 grad_norm: 9.7327 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7561 loss: 1.7561 2022/06/28 21:10:04 - mmengine - INFO - Epoch(train) [94][1920/3757] lr: 1.000e-04 eta: 1:47:49 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 8.3160 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0346 loss: 1.0346 2022/06/28 21:10:10 - mmengine - INFO - Epoch(train) [94][1940/3757] lr: 1.000e-04 eta: 1:47:44 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 8.4408 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1588 loss: 1.1588 2022/06/28 21:10:15 - mmengine - INFO - Epoch(train) [94][1960/3757] lr: 1.000e-04 eta: 1:47:38 time: 0.274 data_time: 0.008 memory: 5148 grad_norm: 11.0166 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4281 loss: 1.4281 2022/06/28 21:10:21 - mmengine - INFO - Epoch(train) [94][1980/3757] lr: 1.000e-04 eta: 1:47:33 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 9.4811 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7170 loss: 0.7170 2022/06/28 21:10:26 - mmengine - INFO - Epoch(train) [94][2000/3757] lr: 1.000e-04 eta: 1:47:28 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 8.8324 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7881 loss: 0.7881 2022/06/28 21:10:31 - mmengine - INFO - Epoch(train) [94][2020/3757] lr: 1.000e-04 eta: 1:47:22 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 9.9313 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9937 loss: 0.9937 2022/06/28 21:10:37 - mmengine - INFO - Epoch(train) [94][2040/3757] lr: 1.000e-04 eta: 1:47:17 time: 0.219 data_time: 0.008 memory: 5148 grad_norm: 9.3450 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3022 loss: 1.3022 2022/06/28 21:10:42 - mmengine - INFO - Epoch(train) [94][2060/3757] lr: 1.000e-04 eta: 1:47:12 time: 0.212 data_time: 0.012 memory: 5148 grad_norm: 9.5566 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3406 loss: 1.3406 2022/06/28 21:10:47 - mmengine - INFO - Epoch(train) [94][2080/3757] lr: 1.000e-04 eta: 1:47:06 time: 0.284 data_time: 0.007 memory: 5148 grad_norm: 9.2910 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 0.9298 loss: 0.9298 2022/06/28 21:10:53 - mmengine - INFO - Epoch(train) [94][2100/3757] lr: 1.000e-04 eta: 1:47:01 time: 0.215 data_time: 0.008 memory: 5148 grad_norm: 9.7410 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4305 loss: 1.4305 2022/06/28 21:10:57 - mmengine - INFO - Epoch(train) [94][2120/3757] lr: 1.000e-04 eta: 1:46:56 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 8.3332 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0724 loss: 1.0724 2022/06/28 21:11:03 - mmengine - INFO - Epoch(train) [94][2140/3757] lr: 1.000e-04 eta: 1:46:50 time: 0.223 data_time: 0.017 memory: 5148 grad_norm: 9.5334 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2608 loss: 1.2608 2022/06/28 21:11:09 - mmengine - INFO - Epoch(train) [94][2160/3757] lr: 1.000e-04 eta: 1:46:45 time: 0.527 data_time: 0.008 memory: 5148 grad_norm: 8.0603 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8325 loss: 0.8325 2022/06/28 21:11:14 - mmengine - INFO - Epoch(train) [94][2180/3757] lr: 1.000e-04 eta: 1:46:40 time: 0.216 data_time: 0.008 memory: 5148 grad_norm: 9.0636 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2475 loss: 1.2475 2022/06/28 21:11:20 - mmengine - INFO - Epoch(train) [94][2200/3757] lr: 1.000e-04 eta: 1:46:35 time: 0.211 data_time: 0.022 memory: 5148 grad_norm: 9.0177 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0977 loss: 1.0977 2022/06/28 21:11:26 - mmengine - INFO - Epoch(train) [94][2220/3757] lr: 1.000e-04 eta: 1:46:29 time: 0.379 data_time: 0.020 memory: 5148 grad_norm: 10.2724 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2869 loss: 1.2869 2022/06/28 21:11:30 - mmengine - INFO - Epoch(train) [94][2240/3757] lr: 1.000e-04 eta: 1:46:24 time: 0.207 data_time: 0.006 memory: 5148 grad_norm: 10.1509 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0023 loss: 1.0023 2022/06/28 21:11:36 - mmengine - INFO - Epoch(train) [94][2260/3757] lr: 1.000e-04 eta: 1:46:19 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 8.3675 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0224 loss: 1.0224 2022/06/28 21:11:41 - mmengine - INFO - Epoch(train) [94][2280/3757] lr: 1.000e-04 eta: 1:46:13 time: 0.219 data_time: 0.011 memory: 5148 grad_norm: 8.0274 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0093 loss: 1.0093 2022/06/28 21:11:47 - mmengine - INFO - Epoch(train) [94][2300/3757] lr: 1.000e-04 eta: 1:46:08 time: 0.209 data_time: 0.009 memory: 5148 grad_norm: 9.8866 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9599 loss: 0.9599 2022/06/28 21:11:52 - mmengine - INFO - Epoch(train) [94][2320/3757] lr: 1.000e-04 eta: 1:46:03 time: 0.208 data_time: 0.010 memory: 5148 grad_norm: 10.2450 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2052 loss: 1.2052 2022/06/28 21:11:57 - mmengine - INFO - Epoch(train) [94][2340/3757] lr: 1.000e-04 eta: 1:45:57 time: 0.453 data_time: 0.007 memory: 5148 grad_norm: 10.4649 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6483 loss: 0.6483 2022/06/28 21:12:02 - mmengine - INFO - Epoch(train) [94][2360/3757] lr: 1.000e-04 eta: 1:45:52 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 9.7666 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0349 loss: 1.0349 2022/06/28 21:12:08 - mmengine - INFO - Epoch(train) [94][2380/3757] lr: 1.000e-04 eta: 1:45:47 time: 0.255 data_time: 0.022 memory: 5148 grad_norm: 9.0180 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3975 loss: 1.3975 2022/06/28 21:12:14 - mmengine - INFO - Epoch(train) [94][2400/3757] lr: 1.000e-04 eta: 1:45:42 time: 0.721 data_time: 0.008 memory: 5148 grad_norm: 11.7755 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2689 loss: 1.2689 2022/06/28 21:12:18 - mmengine - INFO - Epoch(train) [94][2420/3757] lr: 1.000e-04 eta: 1:45:36 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 9.5493 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3126 loss: 1.3126 2022/06/28 21:12:24 - mmengine - INFO - Epoch(train) [94][2440/3757] lr: 1.000e-04 eta: 1:45:31 time: 0.211 data_time: 0.008 memory: 5148 grad_norm: 9.1016 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2191 loss: 1.2191 2022/06/28 21:12:29 - mmengine - INFO - Epoch(train) [94][2460/3757] lr: 1.000e-04 eta: 1:45:26 time: 0.232 data_time: 0.008 memory: 5148 grad_norm: 9.6952 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4312 loss: 1.4312 2022/06/28 21:12:34 - mmengine - INFO - Epoch(train) [94][2480/3757] lr: 1.000e-04 eta: 1:45:20 time: 0.208 data_time: 0.012 memory: 5148 grad_norm: 9.9726 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0452 loss: 1.0452 2022/06/28 21:12:40 - mmengine - INFO - Epoch(train) [94][2500/3757] lr: 1.000e-04 eta: 1:45:15 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 8.8400 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0729 loss: 1.0729 2022/06/28 21:12:45 - mmengine - INFO - Epoch(train) [94][2520/3757] lr: 1.000e-04 eta: 1:45:10 time: 0.380 data_time: 0.010 memory: 5148 grad_norm: 9.7019 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3645 loss: 1.3645 2022/06/28 21:12:50 - mmengine - INFO - Epoch(train) [94][2540/3757] lr: 1.000e-04 eta: 1:45:04 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 9.6105 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0844 loss: 1.0844 2022/06/28 21:12:55 - mmengine - INFO - Epoch(train) [94][2560/3757] lr: 1.000e-04 eta: 1:44:59 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 10.3960 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9907 loss: 0.9907 2022/06/28 21:13:01 - mmengine - INFO - Epoch(train) [94][2580/3757] lr: 1.000e-04 eta: 1:44:54 time: 0.644 data_time: 0.012 memory: 5148 grad_norm: 10.1834 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2310 loss: 1.2310 2022/06/28 21:13:06 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 21:13:06 - mmengine - INFO - Epoch(train) [94][2600/3757] lr: 1.000e-04 eta: 1:44:48 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 10.5475 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9871 loss: 0.9871 2022/06/28 21:13:11 - mmengine - INFO - Epoch(train) [94][2620/3757] lr: 1.000e-04 eta: 1:44:43 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 8.7729 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4149 loss: 1.4149 2022/06/28 21:13:17 - mmengine - INFO - Epoch(train) [94][2640/3757] lr: 1.000e-04 eta: 1:44:38 time: 0.755 data_time: 0.008 memory: 5148 grad_norm: 8.7148 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8231 loss: 0.8231 2022/06/28 21:13:22 - mmengine - INFO - Epoch(train) [94][2660/3757] lr: 1.000e-04 eta: 1:44:33 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 8.0456 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0048 loss: 1.0048 2022/06/28 21:13:28 - mmengine - INFO - Epoch(train) [94][2680/3757] lr: 1.000e-04 eta: 1:44:27 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 10.4637 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9154 loss: 0.9154 2022/06/28 21:13:33 - mmengine - INFO - Epoch(train) [94][2700/3757] lr: 1.000e-04 eta: 1:44:22 time: 0.338 data_time: 0.012 memory: 5148 grad_norm: 9.5978 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8479 loss: 0.8479 2022/06/28 21:13:38 - mmengine - INFO - Epoch(train) [94][2720/3757] lr: 1.000e-04 eta: 1:44:17 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 9.9261 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8154 loss: 0.8154 2022/06/28 21:13:43 - mmengine - INFO - Epoch(train) [94][2740/3757] lr: 1.000e-04 eta: 1:44:11 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 7.5755 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2650 loss: 1.2650 2022/06/28 21:13:49 - mmengine - INFO - Epoch(train) [94][2760/3757] lr: 1.000e-04 eta: 1:44:06 time: 0.830 data_time: 0.008 memory: 5148 grad_norm: 8.3088 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3568 loss: 1.3568 2022/06/28 21:13:54 - mmengine - INFO - Epoch(train) [94][2780/3757] lr: 1.000e-04 eta: 1:44:01 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 8.5815 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8493 loss: 0.8493 2022/06/28 21:14:00 - mmengine - INFO - Epoch(train) [94][2800/3757] lr: 1.000e-04 eta: 1:43:55 time: 0.575 data_time: 0.008 memory: 5148 grad_norm: 8.1628 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1483 loss: 1.1483 2022/06/28 21:14:05 - mmengine - INFO - Epoch(train) [94][2820/3757] lr: 1.000e-04 eta: 1:43:50 time: 0.793 data_time: 0.014 memory: 5148 grad_norm: 11.2900 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2439 loss: 1.2439 2022/06/28 21:14:11 - mmengine - INFO - Epoch(train) [94][2840/3757] lr: 1.000e-04 eta: 1:43:45 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 9.3414 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6924 loss: 1.6924 2022/06/28 21:14:15 - mmengine - INFO - Epoch(train) [94][2860/3757] lr: 1.000e-04 eta: 1:43:39 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 9.4711 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1252 loss: 1.1252 2022/06/28 21:14:22 - mmengine - INFO - Epoch(train) [94][2880/3757] lr: 1.000e-04 eta: 1:43:34 time: 0.764 data_time: 0.017 memory: 5148 grad_norm: 7.4438 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1046 loss: 1.1046 2022/06/28 21:14:27 - mmengine - INFO - Epoch(train) [94][2900/3757] lr: 1.000e-04 eta: 1:43:29 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 9.9656 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3198 loss: 1.3198 2022/06/28 21:14:32 - mmengine - INFO - Epoch(train) [94][2920/3757] lr: 1.000e-04 eta: 1:43:24 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 9.2663 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0861 loss: 1.0861 2022/06/28 21:14:37 - mmengine - INFO - Epoch(train) [94][2940/3757] lr: 1.000e-04 eta: 1:43:18 time: 0.222 data_time: 0.015 memory: 5148 grad_norm: 9.4128 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3919 loss: 1.3919 2022/06/28 21:14:42 - mmengine - INFO - Epoch(train) [94][2960/3757] lr: 1.000e-04 eta: 1:43:13 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 11.7058 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2094 loss: 1.2094 2022/06/28 21:14:47 - mmengine - INFO - Epoch(train) [94][2980/3757] lr: 1.000e-04 eta: 1:43:08 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 7.3953 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2083 loss: 1.2083 2022/06/28 21:14:52 - mmengine - INFO - Epoch(train) [94][3000/3757] lr: 1.000e-04 eta: 1:43:02 time: 0.295 data_time: 0.010 memory: 5148 grad_norm: 9.1605 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2977 loss: 1.2977 2022/06/28 21:14:57 - mmengine - INFO - Epoch(train) [94][3020/3757] lr: 1.000e-04 eta: 1:42:57 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 9.3860 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2055 loss: 1.2055 2022/06/28 21:15:03 - mmengine - INFO - Epoch(train) [94][3040/3757] lr: 1.000e-04 eta: 1:42:52 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 9.6745 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8705 loss: 0.8705 2022/06/28 21:15:08 - mmengine - INFO - Epoch(train) [94][3060/3757] lr: 1.000e-04 eta: 1:42:46 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 10.8905 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2636 loss: 1.2636 2022/06/28 21:15:13 - mmengine - INFO - Epoch(train) [94][3080/3757] lr: 1.000e-04 eta: 1:42:41 time: 0.498 data_time: 0.007 memory: 5148 grad_norm: 9.3508 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9980 loss: 0.9980 2022/06/28 21:15:19 - mmengine - INFO - Epoch(train) [94][3100/3757] lr: 1.000e-04 eta: 1:42:36 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 10.2074 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1424 loss: 1.1424 2022/06/28 21:15:25 - mmengine - INFO - Epoch(train) [94][3120/3757] lr: 1.000e-04 eta: 1:42:30 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 8.7407 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9524 loss: 0.9524 2022/06/28 21:15:30 - mmengine - INFO - Epoch(train) [94][3140/3757] lr: 1.000e-04 eta: 1:42:25 time: 0.289 data_time: 0.007 memory: 5148 grad_norm: 9.9882 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1085 loss: 1.1085 2022/06/28 21:15:35 - mmengine - INFO - Epoch(train) [94][3160/3757] lr: 1.000e-04 eta: 1:42:20 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 10.7373 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1092 loss: 1.1092 2022/06/28 21:15:40 - mmengine - INFO - Epoch(train) [94][3180/3757] lr: 1.000e-04 eta: 1:42:14 time: 0.211 data_time: 0.010 memory: 5148 grad_norm: 8.3484 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3196 loss: 1.3196 2022/06/28 21:15:45 - mmengine - INFO - Epoch(train) [94][3200/3757] lr: 1.000e-04 eta: 1:42:09 time: 0.214 data_time: 0.009 memory: 5148 grad_norm: 8.4459 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3438 loss: 1.3438 2022/06/28 21:15:51 - mmengine - INFO - Epoch(train) [94][3220/3757] lr: 1.000e-04 eta: 1:42:04 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 10.9067 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4366 loss: 1.4366 2022/06/28 21:15:56 - mmengine - INFO - Epoch(train) [94][3240/3757] lr: 1.000e-04 eta: 1:41:59 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 10.2626 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3179 loss: 1.3179 2022/06/28 21:16:02 - mmengine - INFO - Epoch(train) [94][3260/3757] lr: 1.000e-04 eta: 1:41:53 time: 0.535 data_time: 0.008 memory: 5148 grad_norm: 8.3414 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7200 loss: 0.7200 2022/06/28 21:16:08 - mmengine - INFO - Epoch(train) [94][3280/3757] lr: 1.000e-04 eta: 1:41:48 time: 0.203 data_time: 0.009 memory: 5148 grad_norm: 8.6950 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1680 loss: 1.1680 2022/06/28 21:16:13 - mmengine - INFO - Epoch(train) [94][3300/3757] lr: 1.000e-04 eta: 1:41:43 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 10.1572 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1937 loss: 1.1937 2022/06/28 21:16:18 - mmengine - INFO - Epoch(train) [94][3320/3757] lr: 1.000e-04 eta: 1:41:37 time: 0.220 data_time: 0.008 memory: 5148 grad_norm: 8.2601 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0320 loss: 1.0320 2022/06/28 21:16:24 - mmengine - INFO - Epoch(train) [94][3340/3757] lr: 1.000e-04 eta: 1:41:32 time: 0.212 data_time: 0.008 memory: 5148 grad_norm: 10.5166 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1917 loss: 1.1917 2022/06/28 21:16:29 - mmengine - INFO - Epoch(train) [94][3360/3757] lr: 1.000e-04 eta: 1:41:27 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 9.0967 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2736 loss: 1.2736 2022/06/28 21:16:34 - mmengine - INFO - Epoch(train) [94][3380/3757] lr: 1.000e-04 eta: 1:41:21 time: 0.212 data_time: 0.010 memory: 5148 grad_norm: 8.5604 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3576 loss: 1.3576 2022/06/28 21:16:39 - mmengine - INFO - Epoch(train) [94][3400/3757] lr: 1.000e-04 eta: 1:41:16 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 8.3476 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1875 loss: 1.1875 2022/06/28 21:16:45 - mmengine - INFO - Epoch(train) [94][3420/3757] lr: 1.000e-04 eta: 1:41:11 time: 0.200 data_time: 0.012 memory: 5148 grad_norm: 8.3237 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.9533 loss: 0.9533 2022/06/28 21:16:50 - mmengine - INFO - Epoch(train) [94][3440/3757] lr: 1.000e-04 eta: 1:41:06 time: 0.211 data_time: 0.010 memory: 5148 grad_norm: 8.2145 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3595 loss: 1.3595 2022/06/28 21:16:56 - mmengine - INFO - Epoch(train) [94][3460/3757] lr: 1.000e-04 eta: 1:41:00 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 10.0362 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8117 loss: 0.8117 2022/06/28 21:17:01 - mmengine - INFO - Epoch(train) [94][3480/3757] lr: 1.000e-04 eta: 1:40:55 time: 0.210 data_time: 0.016 memory: 5148 grad_norm: 8.4189 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1550 loss: 1.1550 2022/06/28 21:17:06 - mmengine - INFO - Epoch(train) [94][3500/3757] lr: 1.000e-04 eta: 1:40:50 time: 0.208 data_time: 0.011 memory: 5148 grad_norm: 9.0922 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9546 loss: 0.9546 2022/06/28 21:17:12 - mmengine - INFO - Epoch(train) [94][3520/3757] lr: 1.000e-04 eta: 1:40:44 time: 0.745 data_time: 0.007 memory: 5148 grad_norm: 8.3019 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3843 loss: 1.3843 2022/06/28 21:17:17 - mmengine - INFO - Epoch(train) [94][3540/3757] lr: 1.000e-04 eta: 1:40:39 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 10.9332 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9380 loss: 0.9380 2022/06/28 21:17:23 - mmengine - INFO - Epoch(train) [94][3560/3757] lr: 1.000e-04 eta: 1:40:34 time: 0.211 data_time: 0.009 memory: 5148 grad_norm: 9.5561 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0085 loss: 1.0085 2022/06/28 21:17:28 - mmengine - INFO - Epoch(train) [94][3580/3757] lr: 1.000e-04 eta: 1:40:28 time: 1.166 data_time: 0.007 memory: 5148 grad_norm: 6.9081 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1412 loss: 1.1412 2022/06/28 21:17:33 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 21:17:33 - mmengine - INFO - Epoch(train) [94][3600/3757] lr: 1.000e-04 eta: 1:40:23 time: 0.213 data_time: 0.009 memory: 5148 grad_norm: 9.8932 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1325 loss: 1.1325 2022/06/28 21:17:38 - mmengine - INFO - Epoch(train) [94][3620/3757] lr: 1.000e-04 eta: 1:40:18 time: 0.207 data_time: 0.023 memory: 5148 grad_norm: 10.4777 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9792 loss: 0.9792 2022/06/28 21:17:43 - mmengine - INFO - Epoch(train) [94][3640/3757] lr: 1.000e-04 eta: 1:40:12 time: 0.403 data_time: 0.008 memory: 5148 grad_norm: 11.1965 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3115 loss: 1.3115 2022/06/28 21:17:48 - mmengine - INFO - Epoch(train) [94][3660/3757] lr: 1.000e-04 eta: 1:40:07 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 11.2641 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.4688 loss: 1.4688 2022/06/28 21:17:54 - mmengine - INFO - Epoch(train) [94][3680/3757] lr: 1.000e-04 eta: 1:40:02 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 8.8151 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0801 loss: 1.0801 2022/06/28 21:18:00 - mmengine - INFO - Epoch(train) [94][3700/3757] lr: 1.000e-04 eta: 1:39:57 time: 0.546 data_time: 0.007 memory: 5148 grad_norm: 10.5844 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0849 loss: 1.0849 2022/06/28 21:18:05 - mmengine - INFO - Epoch(train) [94][3720/3757] lr: 1.000e-04 eta: 1:39:51 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 9.0340 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4592 loss: 1.4592 2022/06/28 21:18:10 - mmengine - INFO - Epoch(train) [94][3740/3757] lr: 1.000e-04 eta: 1:39:46 time: 0.203 data_time: 0.027 memory: 5148 grad_norm: 8.8759 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1599 loss: 1.1599 2022/06/28 21:18:14 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 21:18:21 - mmengine - INFO - Epoch(val) [94][20/310] eta: 0:01:23 time: 1.267 data_time: 1.194 memory: 5148 2022/06/28 21:18:26 - mmengine - INFO - Epoch(val) [94][40/310] eta: 0:00:51 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 21:18:31 - mmengine - INFO - Epoch(val) [94][60/310] eta: 0:01:06 time: 0.475 data_time: 0.401 memory: 1367 2022/06/28 21:18:36 - mmengine - INFO - Epoch(val) [94][80/310] eta: 0:01:00 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 21:18:41 - mmengine - INFO - Epoch(val) [94][100/310] eta: 0:00:47 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 21:18:45 - mmengine - INFO - Epoch(val) [94][120/310] eta: 0:00:46 time: 0.079 data_time: 0.008 memory: 1367 2022/06/28 21:18:51 - mmengine - INFO - Epoch(val) [94][140/310] eta: 0:00:48 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 21:18:56 - mmengine - INFO - Epoch(val) [94][160/310] eta: 0:00:32 time: 0.087 data_time: 0.005 memory: 1367 2022/06/28 21:19:02 - mmengine - INFO - Epoch(val) [94][180/310] eta: 0:00:27 time: 0.079 data_time: 0.006 memory: 1367 2022/06/28 21:19:07 - mmengine - INFO - Epoch(val) [94][200/310] eta: 0:00:23 time: 0.083 data_time: 0.011 memory: 1367 2022/06/28 21:19:12 - mmengine - INFO - Epoch(val) [94][220/310] eta: 0:00:25 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 21:19:17 - mmengine - INFO - Epoch(val) [94][240/310] eta: 0:00:14 time: 0.081 data_time: 0.005 memory: 1367 2022/06/28 21:19:22 - mmengine - INFO - Epoch(val) [94][260/310] eta: 0:00:09 time: 0.081 data_time: 0.005 memory: 1367 2022/06/28 21:19:27 - mmengine - INFO - Epoch(val) [94][280/310] eta: 0:00:07 time: 0.078 data_time: 0.005 memory: 1367 2022/06/28 21:19:33 - mmengine - INFO - Epoch(val) [94][300/310] eta: 0:00:02 time: 0.075 data_time: 0.005 memory: 1367 2022/06/28 21:19:41 - mmengine - INFO - Epoch(val) [94][310/310] acc/top1: 0.6600 acc/top5: 0.8637 acc/mean1: 0.6599 2022/06/28 21:19:50 - mmengine - INFO - Epoch(train) [95][20/3757] lr: 1.000e-04 eta: 1:39:36 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 7.9100 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3953 loss: 1.3953 2022/06/28 21:19:56 - mmengine - INFO - Epoch(train) [95][40/3757] lr: 1.000e-04 eta: 1:39:31 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 10.1854 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1137 loss: 1.1137 2022/06/28 21:20:00 - mmengine - INFO - Epoch(train) [95][60/3757] lr: 1.000e-04 eta: 1:39:26 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 8.7822 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8517 loss: 0.8517 2022/06/28 21:20:07 - mmengine - INFO - Epoch(train) [95][80/3757] lr: 1.000e-04 eta: 1:39:20 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 10.0956 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9573 loss: 0.9573 2022/06/28 21:20:13 - mmengine - INFO - Epoch(train) [95][100/3757] lr: 1.000e-04 eta: 1:39:15 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 9.6618 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8621 loss: 0.8621 2022/06/28 21:20:17 - mmengine - INFO - Epoch(train) [95][120/3757] lr: 1.000e-04 eta: 1:39:10 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 9.8331 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2446 loss: 1.2446 2022/06/28 21:20:22 - mmengine - INFO - Epoch(train) [95][140/3757] lr: 1.000e-04 eta: 1:39:04 time: 0.215 data_time: 0.019 memory: 5148 grad_norm: 10.8640 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2203 loss: 1.2203 2022/06/28 21:20:28 - mmengine - INFO - Epoch(train) [95][160/3757] lr: 1.000e-04 eta: 1:38:59 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 8.6756 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0949 loss: 1.0949 2022/06/28 21:20:33 - mmengine - INFO - Epoch(train) [95][180/3757] lr: 1.000e-04 eta: 1:38:54 time: 0.198 data_time: 0.014 memory: 5148 grad_norm: 9.2216 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0255 loss: 1.0255 2022/06/28 21:20:38 - mmengine - INFO - Epoch(train) [95][200/3757] lr: 1.000e-04 eta: 1:38:48 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 10.6344 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9653 loss: 0.9653 2022/06/28 21:20:44 - mmengine - INFO - Epoch(train) [95][220/3757] lr: 1.000e-04 eta: 1:38:43 time: 0.202 data_time: 0.009 memory: 5148 grad_norm: 9.9399 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9000 loss: 0.9000 2022/06/28 21:20:49 - mmengine - INFO - Epoch(train) [95][240/3757] lr: 1.000e-04 eta: 1:38:38 time: 0.208 data_time: 0.020 memory: 5148 grad_norm: 10.3971 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5403 loss: 1.5403 2022/06/28 21:20:55 - mmengine - INFO - Epoch(train) [95][260/3757] lr: 1.000e-04 eta: 1:38:33 time: 0.625 data_time: 0.011 memory: 5148 grad_norm: 8.8151 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6193 loss: 1.6193 2022/06/28 21:21:00 - mmengine - INFO - Epoch(train) [95][280/3757] lr: 1.000e-04 eta: 1:38:27 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 7.8912 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1066 loss: 1.1066 2022/06/28 21:21:05 - mmengine - INFO - Epoch(train) [95][300/3757] lr: 1.000e-04 eta: 1:38:22 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 9.4130 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0404 loss: 1.0404 2022/06/28 21:21:10 - mmengine - INFO - Epoch(train) [95][320/3757] lr: 1.000e-04 eta: 1:38:17 time: 0.217 data_time: 0.011 memory: 5148 grad_norm: 10.1533 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.8756 loss: 0.8756 2022/06/28 21:21:16 - mmengine - INFO - Epoch(train) [95][340/3757] lr: 1.000e-04 eta: 1:38:11 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 8.7543 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3205 loss: 1.3205 2022/06/28 21:21:20 - mmengine - INFO - Epoch(train) [95][360/3757] lr: 1.000e-04 eta: 1:38:06 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 9.0622 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2419 loss: 1.2419 2022/06/28 21:21:25 - mmengine - INFO - Epoch(train) [95][380/3757] lr: 1.000e-04 eta: 1:38:01 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 8.4669 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2085 loss: 1.2085 2022/06/28 21:21:30 - mmengine - INFO - Epoch(train) [95][400/3757] lr: 1.000e-04 eta: 1:37:55 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 8.6002 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1846 loss: 1.1846 2022/06/28 21:21:36 - mmengine - INFO - Epoch(train) [95][420/3757] lr: 1.000e-04 eta: 1:37:50 time: 0.203 data_time: 0.013 memory: 5148 grad_norm: 9.5667 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 0.9353 loss: 0.9353 2022/06/28 21:21:41 - mmengine - INFO - Epoch(train) [95][440/3757] lr: 1.000e-04 eta: 1:37:45 time: 0.219 data_time: 0.008 memory: 5148 grad_norm: 9.0021 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1163 loss: 1.1163 2022/06/28 21:21:48 - mmengine - INFO - Epoch(train) [95][460/3757] lr: 1.000e-04 eta: 1:37:39 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 8.2574 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0811 loss: 1.0811 2022/06/28 21:21:52 - mmengine - INFO - Epoch(train) [95][480/3757] lr: 1.000e-04 eta: 1:37:34 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 8.7289 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0746 loss: 1.0746 2022/06/28 21:21:58 - mmengine - INFO - Epoch(train) [95][500/3757] lr: 1.000e-04 eta: 1:37:29 time: 0.285 data_time: 0.007 memory: 5148 grad_norm: 8.5885 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1597 loss: 1.1597 2022/06/28 21:22:03 - mmengine - INFO - Epoch(train) [95][520/3757] lr: 1.000e-04 eta: 1:37:23 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 9.4566 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5019 loss: 1.5019 2022/06/28 21:22:08 - mmengine - INFO - Epoch(train) [95][540/3757] lr: 1.000e-04 eta: 1:37:18 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 9.9023 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2548 loss: 1.2548 2022/06/28 21:22:14 - mmengine - INFO - Epoch(train) [95][560/3757] lr: 1.000e-04 eta: 1:37:13 time: 0.830 data_time: 0.008 memory: 5148 grad_norm: 7.8644 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1798 loss: 1.1798 2022/06/28 21:22:19 - mmengine - INFO - Epoch(train) [95][580/3757] lr: 1.000e-04 eta: 1:37:08 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 11.0946 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1151 loss: 1.1151 2022/06/28 21:22:24 - mmengine - INFO - Epoch(train) [95][600/3757] lr: 1.000e-04 eta: 1:37:02 time: 0.207 data_time: 0.009 memory: 5148 grad_norm: 8.3861 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0315 loss: 1.0315 2022/06/28 21:22:30 - mmengine - INFO - Epoch(train) [95][620/3757] lr: 1.000e-04 eta: 1:36:57 time: 0.929 data_time: 0.008 memory: 5148 grad_norm: 9.1067 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1848 loss: 1.1848 2022/06/28 21:22:35 - mmengine - INFO - Epoch(train) [95][640/3757] lr: 1.000e-04 eta: 1:36:52 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 9.2565 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3436 loss: 1.3436 2022/06/28 21:22:40 - mmengine - INFO - Epoch(train) [95][660/3757] lr: 1.000e-04 eta: 1:36:46 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 9.4720 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8654 loss: 0.8654 2022/06/28 21:22:45 - mmengine - INFO - Epoch(train) [95][680/3757] lr: 1.000e-04 eta: 1:36:41 time: 0.429 data_time: 0.007 memory: 5148 grad_norm: 9.2352 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9054 loss: 0.9054 2022/06/28 21:22:50 - mmengine - INFO - Epoch(train) [95][700/3757] lr: 1.000e-04 eta: 1:36:36 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 9.7729 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5336 loss: 1.5336 2022/06/28 21:22:56 - mmengine - INFO - Epoch(train) [95][720/3757] lr: 1.000e-04 eta: 1:36:30 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 9.6145 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3299 loss: 1.3299 2022/06/28 21:23:02 - mmengine - INFO - Epoch(train) [95][740/3757] lr: 1.000e-04 eta: 1:36:25 time: 0.841 data_time: 0.015 memory: 5148 grad_norm: 7.6125 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3992 loss: 1.3992 2022/06/28 21:23:07 - mmengine - INFO - Epoch(train) [95][760/3757] lr: 1.000e-04 eta: 1:36:20 time: 0.219 data_time: 0.008 memory: 5148 grad_norm: 9.1520 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8114 loss: 0.8114 2022/06/28 21:23:12 - mmengine - INFO - Epoch(train) [95][780/3757] lr: 1.000e-04 eta: 1:36:14 time: 0.200 data_time: 0.012 memory: 5148 grad_norm: 9.1152 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8559 loss: 0.8559 2022/06/28 21:23:17 - mmengine - INFO - Epoch(train) [95][800/3757] lr: 1.000e-04 eta: 1:36:09 time: 0.214 data_time: 0.008 memory: 5148 grad_norm: 9.4360 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1414 loss: 1.1414 2022/06/28 21:23:22 - mmengine - INFO - Epoch(train) [95][820/3757] lr: 1.000e-04 eta: 1:36:04 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 9.6890 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0021 loss: 1.0021 2022/06/28 21:23:28 - mmengine - INFO - Epoch(train) [95][840/3757] lr: 1.000e-04 eta: 1:35:59 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 8.4433 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2009 loss: 1.2009 2022/06/28 21:23:29 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 21:23:33 - mmengine - INFO - Epoch(train) [95][860/3757] lr: 1.000e-04 eta: 1:35:53 time: 0.280 data_time: 0.013 memory: 5148 grad_norm: 9.6955 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3071 loss: 1.3071 2022/06/28 21:23:38 - mmengine - INFO - Epoch(train) [95][880/3757] lr: 1.000e-04 eta: 1:35:48 time: 0.199 data_time: 0.013 memory: 5148 grad_norm: 9.2455 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0573 loss: 1.0573 2022/06/28 21:23:44 - mmengine - INFO - Epoch(train) [95][900/3757] lr: 1.000e-04 eta: 1:35:43 time: 0.219 data_time: 0.012 memory: 5148 grad_norm: 9.0336 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1227 loss: 1.1227 2022/06/28 21:23:49 - mmengine - INFO - Epoch(train) [95][920/3757] lr: 1.000e-04 eta: 1:35:37 time: 0.232 data_time: 0.014 memory: 5148 grad_norm: 7.8590 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2592 loss: 1.2592 2022/06/28 21:23:54 - mmengine - INFO - Epoch(train) [95][940/3757] lr: 1.000e-04 eta: 1:35:32 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 8.9969 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1324 loss: 1.1324 2022/06/28 21:24:00 - mmengine - INFO - Epoch(train) [95][960/3757] lr: 1.000e-04 eta: 1:35:27 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 9.4733 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0053 loss: 1.0053 2022/06/28 21:24:05 - mmengine - INFO - Epoch(train) [95][980/3757] lr: 1.000e-04 eta: 1:35:21 time: 0.245 data_time: 0.007 memory: 5148 grad_norm: 7.8770 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5244 loss: 1.5244 2022/06/28 21:24:10 - mmengine - INFO - Epoch(train) [95][1000/3757] lr: 1.000e-04 eta: 1:35:16 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 9.8572 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0132 loss: 1.0132 2022/06/28 21:24:16 - mmengine - INFO - Epoch(train) [95][1020/3757] lr: 1.000e-04 eta: 1:35:11 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 8.0075 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2535 loss: 1.2535 2022/06/28 21:24:22 - mmengine - INFO - Epoch(train) [95][1040/3757] lr: 1.000e-04 eta: 1:35:05 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 8.8695 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3652 loss: 1.3652 2022/06/28 21:24:27 - mmengine - INFO - Epoch(train) [95][1060/3757] lr: 1.000e-04 eta: 1:35:00 time: 0.203 data_time: 0.027 memory: 5148 grad_norm: 10.7338 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1866 loss: 1.1866 2022/06/28 21:24:32 - mmengine - INFO - Epoch(train) [95][1080/3757] lr: 1.000e-04 eta: 1:34:55 time: 0.245 data_time: 0.007 memory: 5148 grad_norm: 8.1384 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9170 loss: 0.9170 2022/06/28 21:24:37 - mmengine - INFO - Epoch(train) [95][1100/3757] lr: 1.000e-04 eta: 1:34:50 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 9.5196 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9682 loss: 0.9682 2022/06/28 21:24:43 - mmengine - INFO - Epoch(train) [95][1120/3757] lr: 1.000e-04 eta: 1:34:44 time: 0.201 data_time: 0.023 memory: 5148 grad_norm: 8.5476 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4962 loss: 1.4962 2022/06/28 21:24:48 - mmengine - INFO - Epoch(train) [95][1140/3757] lr: 1.000e-04 eta: 1:34:39 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 10.9586 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1631 loss: 1.1631 2022/06/28 21:24:53 - mmengine - INFO - Epoch(train) [95][1160/3757] lr: 1.000e-04 eta: 1:34:34 time: 0.198 data_time: 0.010 memory: 5148 grad_norm: 9.0102 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0789 loss: 1.0789 2022/06/28 21:24:59 - mmengine - INFO - Epoch(train) [95][1180/3757] lr: 1.000e-04 eta: 1:34:28 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 7.7187 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3427 loss: 1.3427 2022/06/28 21:25:04 - mmengine - INFO - Epoch(train) [95][1200/3757] lr: 1.000e-04 eta: 1:34:23 time: 0.214 data_time: 0.014 memory: 5148 grad_norm: 8.6547 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3130 loss: 1.3130 2022/06/28 21:25:10 - mmengine - INFO - Epoch(train) [95][1220/3757] lr: 1.000e-04 eta: 1:34:18 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 8.6612 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2664 loss: 1.2664 2022/06/28 21:25:15 - mmengine - INFO - Epoch(train) [95][1240/3757] lr: 1.000e-04 eta: 1:34:12 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 9.5181 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1939 loss: 1.1939 2022/06/28 21:25:20 - mmengine - INFO - Epoch(train) [95][1260/3757] lr: 1.000e-04 eta: 1:34:07 time: 0.219 data_time: 0.013 memory: 5148 grad_norm: 7.5266 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1850 loss: 1.1850 2022/06/28 21:25:26 - mmengine - INFO - Epoch(train) [95][1280/3757] lr: 1.000e-04 eta: 1:34:02 time: 0.215 data_time: 0.008 memory: 5148 grad_norm: 7.5047 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1448 loss: 1.1448 2022/06/28 21:25:32 - mmengine - INFO - Epoch(train) [95][1300/3757] lr: 1.000e-04 eta: 1:33:57 time: 0.256 data_time: 0.012 memory: 5148 grad_norm: 8.5822 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0650 loss: 1.0650 2022/06/28 21:25:36 - mmengine - INFO - Epoch(train) [95][1320/3757] lr: 1.000e-04 eta: 1:33:51 time: 0.208 data_time: 0.014 memory: 5148 grad_norm: 8.2259 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8002 loss: 0.8002 2022/06/28 21:25:42 - mmengine - INFO - Epoch(train) [95][1340/3757] lr: 1.000e-04 eta: 1:33:46 time: 0.202 data_time: 0.017 memory: 5148 grad_norm: 9.7608 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1387 loss: 1.1387 2022/06/28 21:25:48 - mmengine - INFO - Epoch(train) [95][1360/3757] lr: 1.000e-04 eta: 1:33:41 time: 0.223 data_time: 0.011 memory: 5148 grad_norm: 7.8981 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3377 loss: 1.3377 2022/06/28 21:25:52 - mmengine - INFO - Epoch(train) [95][1380/3757] lr: 1.000e-04 eta: 1:33:35 time: 0.222 data_time: 0.013 memory: 5148 grad_norm: 10.1951 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9573 loss: 0.9573 2022/06/28 21:25:57 - mmengine - INFO - Epoch(train) [95][1400/3757] lr: 1.000e-04 eta: 1:33:30 time: 0.200 data_time: 0.014 memory: 5148 grad_norm: 11.1851 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1808 loss: 1.1808 2022/06/28 21:26:02 - mmengine - INFO - Epoch(train) [95][1420/3757] lr: 1.000e-04 eta: 1:33:25 time: 0.208 data_time: 0.011 memory: 5148 grad_norm: 9.2680 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2680 loss: 1.2680 2022/06/28 21:26:07 - mmengine - INFO - Epoch(train) [95][1440/3757] lr: 1.000e-04 eta: 1:33:19 time: 0.204 data_time: 0.017 memory: 5148 grad_norm: 7.7357 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9773 loss: 0.9773 2022/06/28 21:26:13 - mmengine - INFO - Epoch(train) [95][1460/3757] lr: 1.000e-04 eta: 1:33:14 time: 0.299 data_time: 0.007 memory: 5148 grad_norm: 10.6492 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1592 loss: 1.1592 2022/06/28 21:26:18 - mmengine - INFO - Epoch(train) [95][1480/3757] lr: 1.000e-04 eta: 1:33:09 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 10.3141 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8605 loss: 0.8605 2022/06/28 21:26:24 - mmengine - INFO - Epoch(train) [95][1500/3757] lr: 1.000e-04 eta: 1:33:03 time: 0.212 data_time: 0.015 memory: 5148 grad_norm: 8.8328 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0050 loss: 1.0050 2022/06/28 21:26:29 - mmengine - INFO - Epoch(train) [95][1520/3757] lr: 1.000e-04 eta: 1:32:58 time: 0.242 data_time: 0.010 memory: 5148 grad_norm: 10.4200 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0397 loss: 1.0397 2022/06/28 21:26:34 - mmengine - INFO - Epoch(train) [95][1540/3757] lr: 1.000e-04 eta: 1:32:53 time: 0.212 data_time: 0.014 memory: 5148 grad_norm: 8.9578 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2349 loss: 1.2349 2022/06/28 21:26:39 - mmengine - INFO - Epoch(train) [95][1560/3757] lr: 1.000e-04 eta: 1:32:47 time: 0.212 data_time: 0.008 memory: 5148 grad_norm: 8.5868 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1238 loss: 1.1238 2022/06/28 21:26:44 - mmengine - INFO - Epoch(train) [95][1580/3757] lr: 1.000e-04 eta: 1:32:42 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 9.0916 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2393 loss: 1.2393 2022/06/28 21:26:50 - mmengine - INFO - Epoch(train) [95][1600/3757] lr: 1.000e-04 eta: 1:32:37 time: 0.289 data_time: 0.019 memory: 5148 grad_norm: 9.5462 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9383 loss: 0.9383 2022/06/28 21:26:55 - mmengine - INFO - Epoch(train) [95][1620/3757] lr: 1.000e-04 eta: 1:32:32 time: 0.243 data_time: 0.007 memory: 5148 grad_norm: 9.1012 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0962 loss: 1.0962 2022/06/28 21:27:01 - mmengine - INFO - Epoch(train) [95][1640/3757] lr: 1.000e-04 eta: 1:32:26 time: 0.199 data_time: 0.013 memory: 5148 grad_norm: 10.8481 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1565 loss: 1.1565 2022/06/28 21:27:06 - mmengine - INFO - Epoch(train) [95][1660/3757] lr: 1.000e-04 eta: 1:32:21 time: 0.209 data_time: 0.011 memory: 5148 grad_norm: 8.9523 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3196 loss: 1.3196 2022/06/28 21:27:12 - mmengine - INFO - Epoch(train) [95][1680/3757] lr: 1.000e-04 eta: 1:32:16 time: 0.196 data_time: 0.009 memory: 5148 grad_norm: 8.4309 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5352 loss: 1.5352 2022/06/28 21:27:17 - mmengine - INFO - Epoch(train) [95][1700/3757] lr: 1.000e-04 eta: 1:32:10 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 7.2501 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9754 loss: 0.9754 2022/06/28 21:27:23 - mmengine - INFO - Epoch(train) [95][1720/3757] lr: 1.000e-04 eta: 1:32:05 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 7.6250 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3740 loss: 1.3740 2022/06/28 21:27:28 - mmengine - INFO - Epoch(train) [95][1740/3757] lr: 1.000e-04 eta: 1:32:00 time: 0.208 data_time: 0.018 memory: 5148 grad_norm: 9.7954 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1622 loss: 1.1622 2022/06/28 21:27:34 - mmengine - INFO - Epoch(train) [95][1760/3757] lr: 1.000e-04 eta: 1:31:54 time: 0.215 data_time: 0.010 memory: 5148 grad_norm: 7.7870 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0529 loss: 1.0529 2022/06/28 21:27:39 - mmengine - INFO - Epoch(train) [95][1780/3757] lr: 1.000e-04 eta: 1:31:49 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 8.2231 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8972 loss: 0.8972 2022/06/28 21:27:44 - mmengine - INFO - Epoch(train) [95][1800/3757] lr: 1.000e-04 eta: 1:31:44 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 11.1607 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9028 loss: 0.9028 2022/06/28 21:27:50 - mmengine - INFO - Epoch(train) [95][1820/3757] lr: 1.000e-04 eta: 1:31:39 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 7.7701 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3809 loss: 1.3809 2022/06/28 21:27:55 - mmengine - INFO - Epoch(train) [95][1840/3757] lr: 1.000e-04 eta: 1:31:33 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 7.3830 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9985 loss: 0.9985 2022/06/28 21:27:56 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 21:28:00 - mmengine - INFO - Epoch(train) [95][1860/3757] lr: 1.000e-04 eta: 1:31:28 time: 0.240 data_time: 0.013 memory: 5148 grad_norm: 10.7609 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4976 loss: 1.4976 2022/06/28 21:28:06 - mmengine - INFO - Epoch(train) [95][1880/3757] lr: 1.000e-04 eta: 1:31:23 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 8.9719 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1676 loss: 1.1676 2022/06/28 21:28:10 - mmengine - INFO - Epoch(train) [95][1900/3757] lr: 1.000e-04 eta: 1:31:17 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 9.7382 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8242 loss: 0.8242 2022/06/28 21:28:15 - mmengine - INFO - Epoch(train) [95][1920/3757] lr: 1.000e-04 eta: 1:31:12 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 9.2289 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9805 loss: 0.9805 2022/06/28 21:28:21 - mmengine - INFO - Epoch(train) [95][1940/3757] lr: 1.000e-04 eta: 1:31:07 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 7.8011 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2452 loss: 1.2452 2022/06/28 21:28:26 - mmengine - INFO - Epoch(train) [95][1960/3757] lr: 1.000e-04 eta: 1:31:01 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 8.1743 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2722 loss: 1.2722 2022/06/28 21:28:31 - mmengine - INFO - Epoch(train) [95][1980/3757] lr: 1.000e-04 eta: 1:30:56 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 10.0960 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3084 loss: 1.3084 2022/06/28 21:28:37 - mmengine - INFO - Epoch(train) [95][2000/3757] lr: 1.000e-04 eta: 1:30:51 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 9.9056 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1412 loss: 1.1412 2022/06/28 21:28:42 - mmengine - INFO - Epoch(train) [95][2020/3757] lr: 1.000e-04 eta: 1:30:45 time: 0.206 data_time: 0.015 memory: 5148 grad_norm: 9.0250 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0702 loss: 1.0702 2022/06/28 21:28:47 - mmengine - INFO - Epoch(train) [95][2040/3757] lr: 1.000e-04 eta: 1:30:40 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 9.1824 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4054 loss: 1.4054 2022/06/28 21:28:52 - mmengine - INFO - Epoch(train) [95][2060/3757] lr: 1.000e-04 eta: 1:30:35 time: 0.207 data_time: 0.016 memory: 5148 grad_norm: 7.5304 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1366 loss: 1.1366 2022/06/28 21:28:57 - mmengine - INFO - Epoch(train) [95][2080/3757] lr: 1.000e-04 eta: 1:30:29 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 9.1870 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9952 loss: 0.9952 2022/06/28 21:29:03 - mmengine - INFO - Epoch(train) [95][2100/3757] lr: 1.000e-04 eta: 1:30:24 time: 0.225 data_time: 0.008 memory: 5148 grad_norm: 9.0851 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2044 loss: 1.2044 2022/06/28 21:29:08 - mmengine - INFO - Epoch(train) [95][2120/3757] lr: 1.000e-04 eta: 1:30:19 time: 0.279 data_time: 0.010 memory: 5148 grad_norm: 8.0924 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2458 loss: 1.2458 2022/06/28 21:29:14 - mmengine - INFO - Epoch(train) [95][2140/3757] lr: 1.000e-04 eta: 1:30:14 time: 0.211 data_time: 0.023 memory: 5148 grad_norm: 9.5448 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3024 loss: 1.3024 2022/06/28 21:29:19 - mmengine - INFO - Epoch(train) [95][2160/3757] lr: 1.000e-04 eta: 1:30:08 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 8.3758 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2532 loss: 1.2532 2022/06/28 21:29:24 - mmengine - INFO - Epoch(train) [95][2180/3757] lr: 1.000e-04 eta: 1:30:03 time: 0.226 data_time: 0.011 memory: 5148 grad_norm: 8.5215 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2288 loss: 1.2288 2022/06/28 21:29:29 - mmengine - INFO - Epoch(train) [95][2200/3757] lr: 1.000e-04 eta: 1:29:58 time: 0.200 data_time: 0.016 memory: 5148 grad_norm: 11.9965 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1844 loss: 1.1844 2022/06/28 21:29:35 - mmengine - INFO - Epoch(train) [95][2220/3757] lr: 1.000e-04 eta: 1:29:52 time: 0.198 data_time: 0.014 memory: 5148 grad_norm: 8.3915 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5610 loss: 1.5610 2022/06/28 21:29:40 - mmengine - INFO - Epoch(train) [95][2240/3757] lr: 1.000e-04 eta: 1:29:47 time: 0.229 data_time: 0.014 memory: 5148 grad_norm: 8.8578 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1321 loss: 1.1321 2022/06/28 21:29:45 - mmengine - INFO - Epoch(train) [95][2260/3757] lr: 1.000e-04 eta: 1:29:42 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 8.6483 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.8863 loss: 0.8863 2022/06/28 21:29:50 - mmengine - INFO - Epoch(train) [95][2280/3757] lr: 1.000e-04 eta: 1:29:36 time: 0.204 data_time: 0.017 memory: 5148 grad_norm: 9.5437 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9686 loss: 0.9686 2022/06/28 21:29:55 - mmengine - INFO - Epoch(train) [95][2300/3757] lr: 1.000e-04 eta: 1:29:31 time: 0.204 data_time: 0.017 memory: 5148 grad_norm: 10.7190 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0601 loss: 1.0601 2022/06/28 21:30:00 - mmengine - INFO - Epoch(train) [95][2320/3757] lr: 1.000e-04 eta: 1:29:26 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 7.9663 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2060 loss: 1.2060 2022/06/28 21:30:06 - mmengine - INFO - Epoch(train) [95][2340/3757] lr: 1.000e-04 eta: 1:29:20 time: 0.209 data_time: 0.025 memory: 5148 grad_norm: 8.4922 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8871 loss: 0.8871 2022/06/28 21:30:12 - mmengine - INFO - Epoch(train) [95][2360/3757] lr: 1.000e-04 eta: 1:29:15 time: 0.208 data_time: 0.029 memory: 5148 grad_norm: 8.6867 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2314 loss: 1.2314 2022/06/28 21:30:16 - mmengine - INFO - Epoch(train) [95][2380/3757] lr: 1.000e-04 eta: 1:29:10 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 10.5322 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0278 loss: 1.0278 2022/06/28 21:30:22 - mmengine - INFO - Epoch(train) [95][2400/3757] lr: 1.000e-04 eta: 1:29:04 time: 0.218 data_time: 0.017 memory: 5148 grad_norm: 10.7173 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9677 loss: 0.9677 2022/06/28 21:30:27 - mmengine - INFO - Epoch(train) [95][2420/3757] lr: 1.000e-04 eta: 1:28:59 time: 0.209 data_time: 0.021 memory: 5148 grad_norm: 8.2939 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3098 loss: 1.3098 2022/06/28 21:30:32 - mmengine - INFO - Epoch(train) [95][2440/3757] lr: 1.000e-04 eta: 1:28:54 time: 0.315 data_time: 0.007 memory: 5148 grad_norm: 9.0189 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2629 loss: 1.2629 2022/06/28 21:30:38 - mmengine - INFO - Epoch(train) [95][2460/3757] lr: 1.000e-04 eta: 1:28:49 time: 0.216 data_time: 0.014 memory: 5148 grad_norm: 9.0344 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3362 loss: 1.3362 2022/06/28 21:30:43 - mmengine - INFO - Epoch(train) [95][2480/3757] lr: 1.000e-04 eta: 1:28:43 time: 0.209 data_time: 0.019 memory: 5148 grad_norm: 8.1455 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9922 loss: 0.9922 2022/06/28 21:30:48 - mmengine - INFO - Epoch(train) [95][2500/3757] lr: 1.000e-04 eta: 1:28:38 time: 0.211 data_time: 0.008 memory: 5148 grad_norm: 9.7910 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0568 loss: 1.0568 2022/06/28 21:30:53 - mmengine - INFO - Epoch(train) [95][2520/3757] lr: 1.000e-04 eta: 1:28:33 time: 0.257 data_time: 0.008 memory: 5148 grad_norm: 10.1371 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1193 loss: 1.1193 2022/06/28 21:30:59 - mmengine - INFO - Epoch(train) [95][2540/3757] lr: 1.000e-04 eta: 1:28:27 time: 0.202 data_time: 0.020 memory: 5148 grad_norm: 8.3307 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4373 loss: 1.4373 2022/06/28 21:31:04 - mmengine - INFO - Epoch(train) [95][2560/3757] lr: 1.000e-04 eta: 1:28:22 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 10.3433 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9760 loss: 0.9760 2022/06/28 21:31:10 - mmengine - INFO - Epoch(train) [95][2580/3757] lr: 1.000e-04 eta: 1:28:17 time: 0.216 data_time: 0.008 memory: 5148 grad_norm: 9.2621 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9380 loss: 0.9380 2022/06/28 21:31:15 - mmengine - INFO - Epoch(train) [95][2600/3757] lr: 1.000e-04 eta: 1:28:11 time: 0.246 data_time: 0.059 memory: 5148 grad_norm: 8.2078 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9573 loss: 0.9573 2022/06/28 21:31:20 - mmengine - INFO - Epoch(train) [95][2620/3757] lr: 1.000e-04 eta: 1:28:06 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 9.5007 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9568 loss: 0.9568 2022/06/28 21:31:26 - mmengine - INFO - Epoch(train) [95][2640/3757] lr: 1.000e-04 eta: 1:28:01 time: 0.228 data_time: 0.007 memory: 5148 grad_norm: 9.4482 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6928 loss: 0.6928 2022/06/28 21:31:31 - mmengine - INFO - Epoch(train) [95][2660/3757] lr: 1.000e-04 eta: 1:27:55 time: 0.204 data_time: 0.023 memory: 5148 grad_norm: 9.0229 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0703 loss: 1.0703 2022/06/28 21:31:36 - mmengine - INFO - Epoch(train) [95][2680/3757] lr: 1.000e-04 eta: 1:27:50 time: 0.212 data_time: 0.006 memory: 5148 grad_norm: 9.7074 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2355 loss: 1.2355 2022/06/28 21:31:41 - mmengine - INFO - Epoch(train) [95][2700/3757] lr: 1.000e-04 eta: 1:27:45 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 7.2412 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2222 loss: 1.2222 2022/06/28 21:31:46 - mmengine - INFO - Epoch(train) [95][2720/3757] lr: 1.000e-04 eta: 1:27:40 time: 0.217 data_time: 0.035 memory: 5148 grad_norm: 9.8398 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2437 loss: 1.2437 2022/06/28 21:31:51 - mmengine - INFO - Epoch(train) [95][2740/3757] lr: 1.000e-04 eta: 1:27:34 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 7.9621 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3261 loss: 1.3261 2022/06/28 21:31:57 - mmengine - INFO - Epoch(train) [95][2760/3757] lr: 1.000e-04 eta: 1:27:29 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 9.6734 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9194 loss: 0.9194 2022/06/28 21:32:02 - mmengine - INFO - Epoch(train) [95][2780/3757] lr: 1.000e-04 eta: 1:27:24 time: 0.207 data_time: 0.021 memory: 5148 grad_norm: 9.9686 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1101 loss: 1.1101 2022/06/28 21:32:07 - mmengine - INFO - Epoch(train) [95][2800/3757] lr: 1.000e-04 eta: 1:27:18 time: 0.197 data_time: 0.012 memory: 5148 grad_norm: 9.3775 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5574 loss: 1.5574 2022/06/28 21:32:13 - mmengine - INFO - Epoch(train) [95][2820/3757] lr: 1.000e-04 eta: 1:27:13 time: 0.219 data_time: 0.008 memory: 5148 grad_norm: 10.4705 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2552 loss: 1.2552 2022/06/28 21:32:18 - mmengine - INFO - Epoch(train) [95][2840/3757] lr: 1.000e-04 eta: 1:27:08 time: 0.209 data_time: 0.016 memory: 5148 grad_norm: 9.4080 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2741 loss: 1.2741 2022/06/28 21:32:19 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 21:32:23 - mmengine - INFO - Epoch(train) [95][2860/3757] lr: 1.000e-04 eta: 1:27:02 time: 0.203 data_time: 0.012 memory: 5148 grad_norm: 8.6366 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9790 loss: 0.9790 2022/06/28 21:32:29 - mmengine - INFO - Epoch(train) [95][2880/3757] lr: 1.000e-04 eta: 1:26:57 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 9.1686 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3526 loss: 1.3526 2022/06/28 21:32:34 - mmengine - INFO - Epoch(train) [95][2900/3757] lr: 1.000e-04 eta: 1:26:52 time: 0.203 data_time: 0.016 memory: 5148 grad_norm: 10.6075 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9965 loss: 0.9965 2022/06/28 21:32:39 - mmengine - INFO - Epoch(train) [95][2920/3757] lr: 1.000e-04 eta: 1:26:46 time: 0.249 data_time: 0.011 memory: 5148 grad_norm: 10.1092 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4227 loss: 1.4227 2022/06/28 21:32:44 - mmengine - INFO - Epoch(train) [95][2940/3757] lr: 1.000e-04 eta: 1:26:41 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 9.6844 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0370 loss: 1.0370 2022/06/28 21:32:50 - mmengine - INFO - Epoch(train) [95][2960/3757] lr: 1.000e-04 eta: 1:26:36 time: 0.205 data_time: 0.018 memory: 5148 grad_norm: 8.2511 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0545 loss: 1.0545 2022/06/28 21:32:54 - mmengine - INFO - Epoch(train) [95][2980/3757] lr: 1.000e-04 eta: 1:26:30 time: 0.230 data_time: 0.049 memory: 5148 grad_norm: 9.2428 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4475 loss: 1.4475 2022/06/28 21:33:00 - mmengine - INFO - Epoch(train) [95][3000/3757] lr: 1.000e-04 eta: 1:26:25 time: 0.241 data_time: 0.024 memory: 5148 grad_norm: 10.5527 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4217 loss: 1.4217 2022/06/28 21:33:05 - mmengine - INFO - Epoch(train) [95][3020/3757] lr: 1.000e-04 eta: 1:26:20 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 9.5732 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0597 loss: 1.0597 2022/06/28 21:33:10 - mmengine - INFO - Epoch(train) [95][3040/3757] lr: 1.000e-04 eta: 1:26:14 time: 0.203 data_time: 0.014 memory: 5148 grad_norm: 9.1005 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0177 loss: 1.0177 2022/06/28 21:33:15 - mmengine - INFO - Epoch(train) [95][3060/3757] lr: 1.000e-04 eta: 1:26:09 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 10.1396 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0173 loss: 1.0173 2022/06/28 21:33:21 - mmengine - INFO - Epoch(train) [95][3080/3757] lr: 1.000e-04 eta: 1:26:04 time: 0.220 data_time: 0.011 memory: 5148 grad_norm: 10.5863 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0447 loss: 1.0447 2022/06/28 21:33:26 - mmengine - INFO - Epoch(train) [95][3100/3757] lr: 1.000e-04 eta: 1:25:59 time: 0.192 data_time: 0.007 memory: 5148 grad_norm: 8.4659 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0482 loss: 1.0482 2022/06/28 21:33:31 - mmengine - INFO - Epoch(train) [95][3120/3757] lr: 1.000e-04 eta: 1:25:53 time: 0.198 data_time: 0.009 memory: 5148 grad_norm: 9.9421 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1119 loss: 1.1119 2022/06/28 21:33:37 - mmengine - INFO - Epoch(train) [95][3140/3757] lr: 1.000e-04 eta: 1:25:48 time: 0.215 data_time: 0.011 memory: 5148 grad_norm: 7.9348 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9229 loss: 0.9229 2022/06/28 21:33:42 - mmengine - INFO - Epoch(train) [95][3160/3757] lr: 1.000e-04 eta: 1:25:43 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 7.9487 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1306 loss: 1.1306 2022/06/28 21:33:47 - mmengine - INFO - Epoch(train) [95][3180/3757] lr: 1.000e-04 eta: 1:25:37 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 9.5372 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3522 loss: 1.3522 2022/06/28 21:33:53 - mmengine - INFO - Epoch(train) [95][3200/3757] lr: 1.000e-04 eta: 1:25:32 time: 0.205 data_time: 0.009 memory: 5148 grad_norm: 9.4137 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2067 loss: 1.2067 2022/06/28 21:33:58 - mmengine - INFO - Epoch(train) [95][3220/3757] lr: 1.000e-04 eta: 1:25:27 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 7.9729 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0935 loss: 1.0935 2022/06/28 21:34:04 - mmengine - INFO - Epoch(train) [95][3240/3757] lr: 1.000e-04 eta: 1:25:21 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 11.0948 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1843 loss: 1.1843 2022/06/28 21:34:09 - mmengine - INFO - Epoch(train) [95][3260/3757] lr: 1.000e-04 eta: 1:25:16 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 9.1563 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1857 loss: 1.1857 2022/06/28 21:34:14 - mmengine - INFO - Epoch(train) [95][3280/3757] lr: 1.000e-04 eta: 1:25:11 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 9.6698 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.7427 loss: 0.7427 2022/06/28 21:34:20 - mmengine - INFO - Epoch(train) [95][3300/3757] lr: 1.000e-04 eta: 1:25:06 time: 0.209 data_time: 0.011 memory: 5148 grad_norm: 9.3851 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4322 loss: 1.4322 2022/06/28 21:34:25 - mmengine - INFO - Epoch(train) [95][3320/3757] lr: 1.000e-04 eta: 1:25:00 time: 0.239 data_time: 0.007 memory: 5148 grad_norm: 9.9470 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0762 loss: 1.0762 2022/06/28 21:34:30 - mmengine - INFO - Epoch(train) [95][3340/3757] lr: 1.000e-04 eta: 1:24:55 time: 0.202 data_time: 0.015 memory: 5148 grad_norm: 9.2475 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2308 loss: 1.2308 2022/06/28 21:34:36 - mmengine - INFO - Epoch(train) [95][3360/3757] lr: 1.000e-04 eta: 1:24:50 time: 0.198 data_time: 0.014 memory: 5148 grad_norm: 9.6066 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4498 loss: 1.4498 2022/06/28 21:34:41 - mmengine - INFO - Epoch(train) [95][3380/3757] lr: 1.000e-04 eta: 1:24:44 time: 0.202 data_time: 0.012 memory: 5148 grad_norm: 8.9541 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9141 loss: 0.9141 2022/06/28 21:34:46 - mmengine - INFO - Epoch(train) [95][3400/3757] lr: 1.000e-04 eta: 1:24:39 time: 0.217 data_time: 0.006 memory: 5148 grad_norm: 7.1554 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2724 loss: 1.2724 2022/06/28 21:34:51 - mmengine - INFO - Epoch(train) [95][3420/3757] lr: 1.000e-04 eta: 1:24:34 time: 0.201 data_time: 0.017 memory: 5148 grad_norm: 8.9109 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4127 loss: 1.4127 2022/06/28 21:34:57 - mmengine - INFO - Epoch(train) [95][3440/3757] lr: 1.000e-04 eta: 1:24:28 time: 0.202 data_time: 0.009 memory: 5148 grad_norm: 10.0952 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9717 loss: 0.9717 2022/06/28 21:35:02 - mmengine - INFO - Epoch(train) [95][3460/3757] lr: 1.000e-04 eta: 1:24:23 time: 0.596 data_time: 0.007 memory: 5148 grad_norm: 10.1833 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1957 loss: 1.1957 2022/06/28 21:35:07 - mmengine - INFO - Epoch(train) [95][3480/3757] lr: 1.000e-04 eta: 1:24:18 time: 0.262 data_time: 0.021 memory: 5148 grad_norm: 8.6675 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0891 loss: 1.0891 2022/06/28 21:35:13 - mmengine - INFO - Epoch(train) [95][3500/3757] lr: 1.000e-04 eta: 1:24:12 time: 0.204 data_time: 0.015 memory: 5148 grad_norm: 9.2984 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7848 loss: 0.7848 2022/06/28 21:35:18 - mmengine - INFO - Epoch(train) [95][3520/3757] lr: 1.000e-04 eta: 1:24:07 time: 0.614 data_time: 0.006 memory: 5148 grad_norm: 7.8395 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0574 loss: 1.0574 2022/06/28 21:35:23 - mmengine - INFO - Epoch(train) [95][3540/3757] lr: 1.000e-04 eta: 1:24:02 time: 0.217 data_time: 0.028 memory: 5148 grad_norm: 8.4191 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1653 loss: 1.1653 2022/06/28 21:35:29 - mmengine - INFO - Epoch(train) [95][3560/3757] lr: 1.000e-04 eta: 1:23:57 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 10.1042 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9838 loss: 0.9838 2022/06/28 21:35:34 - mmengine - INFO - Epoch(train) [95][3580/3757] lr: 1.000e-04 eta: 1:23:51 time: 0.527 data_time: 0.008 memory: 5148 grad_norm: 9.1573 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0257 loss: 1.0257 2022/06/28 21:35:39 - mmengine - INFO - Epoch(train) [95][3600/3757] lr: 1.000e-04 eta: 1:23:46 time: 0.210 data_time: 0.013 memory: 5148 grad_norm: 8.9967 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5951 loss: 1.5951 2022/06/28 21:35:45 - mmengine - INFO - Epoch(train) [95][3620/3757] lr: 1.000e-04 eta: 1:23:41 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 9.7945 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0162 loss: 1.0162 2022/06/28 21:35:50 - mmengine - INFO - Epoch(train) [95][3640/3757] lr: 1.000e-04 eta: 1:23:35 time: 0.217 data_time: 0.006 memory: 5148 grad_norm: 7.8787 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3064 loss: 1.3064 2022/06/28 21:35:55 - mmengine - INFO - Epoch(train) [95][3660/3757] lr: 1.000e-04 eta: 1:23:30 time: 0.199 data_time: 0.018 memory: 5148 grad_norm: 9.0107 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1209 loss: 1.1209 2022/06/28 21:36:01 - mmengine - INFO - Epoch(train) [95][3680/3757] lr: 1.000e-04 eta: 1:23:25 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 7.9115 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3386 loss: 1.3386 2022/06/28 21:36:06 - mmengine - INFO - Epoch(train) [95][3700/3757] lr: 1.000e-04 eta: 1:23:19 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 10.8593 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1345 loss: 1.1345 2022/06/28 21:36:12 - mmengine - INFO - Epoch(train) [95][3720/3757] lr: 1.000e-04 eta: 1:23:14 time: 0.205 data_time: 0.023 memory: 5148 grad_norm: 7.8484 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1444 loss: 1.1444 2022/06/28 21:36:17 - mmengine - INFO - Epoch(train) [95][3740/3757] lr: 1.000e-04 eta: 1:23:09 time: 0.216 data_time: 0.010 memory: 5148 grad_norm: 8.4344 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8807 loss: 0.8807 2022/06/28 21:36:20 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 21:36:20 - mmengine - INFO - Saving checkpoint at 95 epochs 2022/06/28 21:36:29 - mmengine - INFO - Epoch(val) [95][20/310] eta: 0:01:14 time: 0.305 data_time: 0.228 memory: 5148 2022/06/28 21:36:34 - mmengine - INFO - Epoch(val) [95][40/310] eta: 0:01:02 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 21:36:40 - mmengine - INFO - Epoch(val) [95][60/310] eta: 0:00:57 time: 0.084 data_time: 0.011 memory: 1367 2022/06/28 21:36:45 - mmengine - INFO - Epoch(val) [95][80/310] eta: 0:00:59 time: 0.080 data_time: 0.009 memory: 1367 2022/06/28 21:36:50 - mmengine - INFO - Epoch(val) [95][100/310] eta: 0:00:47 time: 0.081 data_time: 0.005 memory: 1367 2022/06/28 21:36:55 - mmengine - INFO - Epoch(val) [95][120/310] eta: 0:00:44 time: 0.087 data_time: 0.009 memory: 1367 2022/06/28 21:37:01 - mmengine - INFO - Epoch(val) [95][140/310] eta: 0:00:48 time: 0.469 data_time: 0.393 memory: 1367 2022/06/28 21:37:06 - mmengine - INFO - Epoch(val) [95][160/310] eta: 0:00:35 time: 0.206 data_time: 0.128 memory: 1367 2022/06/28 21:37:12 - mmengine - INFO - Epoch(val) [95][180/310] eta: 0:00:43 time: 0.800 data_time: 0.729 memory: 1367 2022/06/28 21:37:17 - mmengine - INFO - Epoch(val) [95][200/310] eta: 0:00:25 time: 0.079 data_time: 0.008 memory: 1367 2022/06/28 21:37:22 - mmengine - INFO - Epoch(val) [95][220/310] eta: 0:00:31 time: 0.086 data_time: 0.006 memory: 1367 2022/06/28 21:37:27 - mmengine - INFO - Epoch(val) [95][240/310] eta: 0:00:15 time: 0.081 data_time: 0.005 memory: 1367 2022/06/28 21:37:33 - mmengine - INFO - Epoch(val) [95][260/310] eta: 0:00:18 time: 0.099 data_time: 0.008 memory: 1367 2022/06/28 21:37:38 - mmengine - INFO - Epoch(val) [95][280/310] eta: 0:00:07 time: 0.081 data_time: 0.005 memory: 1367 2022/06/28 21:37:43 - mmengine - INFO - Epoch(val) [95][300/310] eta: 0:00:02 time: 0.081 data_time: 0.005 memory: 1367 2022/06/28 21:37:46 - mmengine - INFO - Epoch(val) [95][310/310] acc/top1: 0.6615 acc/top5: 0.8633 acc/mean1: 0.6614 2022/06/28 21:37:54 - mmengine - INFO - Epoch(train) [96][20/3757] lr: 1.000e-04 eta: 1:22:59 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 9.2045 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2545 loss: 1.2545 2022/06/28 21:38:00 - mmengine - INFO - Epoch(train) [96][40/3757] lr: 1.000e-04 eta: 1:22:54 time: 0.204 data_time: 0.016 memory: 5148 grad_norm: 9.7610 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8276 loss: 0.8276 2022/06/28 21:38:05 - mmengine - INFO - Epoch(train) [96][60/3757] lr: 1.000e-04 eta: 1:22:48 time: 0.214 data_time: 0.008 memory: 5148 grad_norm: 8.4035 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2265 loss: 1.2265 2022/06/28 21:38:10 - mmengine - INFO - Epoch(train) [96][80/3757] lr: 1.000e-04 eta: 1:22:43 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 7.9067 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1708 loss: 1.1708 2022/06/28 21:38:11 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 21:38:16 - mmengine - INFO - Epoch(train) [96][100/3757] lr: 1.000e-04 eta: 1:22:38 time: 0.200 data_time: 0.014 memory: 5148 grad_norm: 8.9923 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2260 loss: 1.2260 2022/06/28 21:38:21 - mmengine - INFO - Epoch(train) [96][120/3757] lr: 1.000e-04 eta: 1:22:32 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 9.9078 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2729 loss: 1.2729 2022/06/28 21:38:26 - mmengine - INFO - Epoch(train) [96][140/3757] lr: 1.000e-04 eta: 1:22:27 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 7.8400 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1115 loss: 1.1115 2022/06/28 21:38:32 - mmengine - INFO - Epoch(train) [96][160/3757] lr: 1.000e-04 eta: 1:22:22 time: 0.200 data_time: 0.013 memory: 5148 grad_norm: 8.1479 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9238 loss: 0.9238 2022/06/28 21:38:37 - mmengine - INFO - Epoch(train) [96][180/3757] lr: 1.000e-04 eta: 1:22:17 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 9.9571 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2475 loss: 1.2475 2022/06/28 21:38:42 - mmengine - INFO - Epoch(train) [96][200/3757] lr: 1.000e-04 eta: 1:22:11 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 8.6465 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1479 loss: 1.1479 2022/06/28 21:38:48 - mmengine - INFO - Epoch(train) [96][220/3757] lr: 1.000e-04 eta: 1:22:06 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 10.8637 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4600 loss: 1.4600 2022/06/28 21:38:53 - mmengine - INFO - Epoch(train) [96][240/3757] lr: 1.000e-04 eta: 1:22:01 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 11.1678 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2487 loss: 1.2487 2022/06/28 21:38:58 - mmengine - INFO - Epoch(train) [96][260/3757] lr: 1.000e-04 eta: 1:21:55 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 9.2947 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6440 loss: 1.6440 2022/06/28 21:39:03 - mmengine - INFO - Epoch(train) [96][280/3757] lr: 1.000e-04 eta: 1:21:50 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 8.9112 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3583 loss: 1.3583 2022/06/28 21:39:08 - mmengine - INFO - Epoch(train) [96][300/3757] lr: 1.000e-04 eta: 1:21:45 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 11.4063 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9355 loss: 0.9355 2022/06/28 21:39:14 - mmengine - INFO - Epoch(train) [96][320/3757] lr: 1.000e-04 eta: 1:21:39 time: 0.196 data_time: 0.015 memory: 5148 grad_norm: 9.2736 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1914 loss: 1.1914 2022/06/28 21:39:19 - mmengine - INFO - Epoch(train) [96][340/3757] lr: 1.000e-04 eta: 1:21:34 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 9.1121 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1101 loss: 1.1101 2022/06/28 21:39:24 - mmengine - INFO - Epoch(train) [96][360/3757] lr: 1.000e-04 eta: 1:21:29 time: 0.275 data_time: 0.012 memory: 5148 grad_norm: 10.7918 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0986 loss: 1.0986 2022/06/28 21:39:30 - mmengine - INFO - Epoch(train) [96][380/3757] lr: 1.000e-04 eta: 1:21:23 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 9.5965 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2409 loss: 1.2409 2022/06/28 21:39:35 - mmengine - INFO - Epoch(train) [96][400/3757] lr: 1.000e-04 eta: 1:21:18 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 9.6364 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1797 loss: 1.1797 2022/06/28 21:39:40 - mmengine - INFO - Epoch(train) [96][420/3757] lr: 1.000e-04 eta: 1:21:13 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 8.7280 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3594 loss: 1.3594 2022/06/28 21:39:46 - mmengine - INFO - Epoch(train) [96][440/3757] lr: 1.000e-04 eta: 1:21:08 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 8.3762 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9406 loss: 0.9406 2022/06/28 21:39:51 - mmengine - INFO - Epoch(train) [96][460/3757] lr: 1.000e-04 eta: 1:21:02 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 9.4454 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1700 loss: 1.1700 2022/06/28 21:39:56 - mmengine - INFO - Epoch(train) [96][480/3757] lr: 1.000e-04 eta: 1:20:57 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 10.8639 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0202 loss: 1.0202 2022/06/28 21:40:02 - mmengine - INFO - Epoch(train) [96][500/3757] lr: 1.000e-04 eta: 1:20:52 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 9.9468 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4944 loss: 1.4944 2022/06/28 21:40:08 - mmengine - INFO - Epoch(train) [96][520/3757] lr: 1.000e-04 eta: 1:20:46 time: 0.204 data_time: 0.006 memory: 5148 grad_norm: 8.3369 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1209 loss: 1.1209 2022/06/28 21:40:13 - mmengine - INFO - Epoch(train) [96][540/3757] lr: 1.000e-04 eta: 1:20:41 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 8.9662 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0955 loss: 1.0955 2022/06/28 21:40:18 - mmengine - INFO - Epoch(train) [96][560/3757] lr: 1.000e-04 eta: 1:20:36 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 11.1060 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2000 loss: 1.2000 2022/06/28 21:40:23 - mmengine - INFO - Epoch(train) [96][580/3757] lr: 1.000e-04 eta: 1:20:30 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 8.6049 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0929 loss: 1.0929 2022/06/28 21:40:28 - mmengine - INFO - Epoch(train) [96][600/3757] lr: 1.000e-04 eta: 1:20:25 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 8.4560 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2334 loss: 1.2334 2022/06/28 21:40:34 - mmengine - INFO - Epoch(train) [96][620/3757] lr: 1.000e-04 eta: 1:20:20 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 10.3250 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4258 loss: 1.4258 2022/06/28 21:40:39 - mmengine - INFO - Epoch(train) [96][640/3757] lr: 1.000e-04 eta: 1:20:14 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 7.7848 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9302 loss: 0.9302 2022/06/28 21:40:44 - mmengine - INFO - Epoch(train) [96][660/3757] lr: 1.000e-04 eta: 1:20:09 time: 0.204 data_time: 0.012 memory: 5148 grad_norm: 8.8077 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1817 loss: 1.1817 2022/06/28 21:40:49 - mmengine - INFO - Epoch(train) [96][680/3757] lr: 1.000e-04 eta: 1:20:04 time: 0.215 data_time: 0.011 memory: 5148 grad_norm: 8.4869 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1291 loss: 1.1291 2022/06/28 21:40:55 - mmengine - INFO - Epoch(train) [96][700/3757] lr: 1.000e-04 eta: 1:19:59 time: 0.216 data_time: 0.008 memory: 5148 grad_norm: 6.8424 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0099 loss: 1.0099 2022/06/28 21:41:00 - mmengine - INFO - Epoch(train) [96][720/3757] lr: 1.000e-04 eta: 1:19:53 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 9.0410 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7706 loss: 0.7706 2022/06/28 21:41:05 - mmengine - INFO - Epoch(train) [96][740/3757] lr: 1.000e-04 eta: 1:19:48 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 8.9972 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9821 loss: 0.9821 2022/06/28 21:41:11 - mmengine - INFO - Epoch(train) [96][760/3757] lr: 1.000e-04 eta: 1:19:43 time: 0.221 data_time: 0.007 memory: 5148 grad_norm: 10.3857 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0733 loss: 1.0733 2022/06/28 21:41:16 - mmengine - INFO - Epoch(train) [96][780/3757] lr: 1.000e-04 eta: 1:19:37 time: 0.209 data_time: 0.014 memory: 5148 grad_norm: 9.9427 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0697 loss: 1.0697 2022/06/28 21:41:21 - mmengine - INFO - Epoch(train) [96][800/3757] lr: 1.000e-04 eta: 1:19:32 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 10.8803 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2317 loss: 1.2317 2022/06/28 21:41:27 - mmengine - INFO - Epoch(train) [96][820/3757] lr: 1.000e-04 eta: 1:19:27 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 8.8537 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0798 loss: 1.0798 2022/06/28 21:41:32 - mmengine - INFO - Epoch(train) [96][840/3757] lr: 1.000e-04 eta: 1:19:21 time: 0.209 data_time: 0.011 memory: 5148 grad_norm: 8.3266 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7869 loss: 0.7869 2022/06/28 21:41:37 - mmengine - INFO - Epoch(train) [96][860/3757] lr: 1.000e-04 eta: 1:19:16 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 8.9994 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1226 loss: 1.1226 2022/06/28 21:41:43 - mmengine - INFO - Epoch(train) [96][880/3757] lr: 1.000e-04 eta: 1:19:11 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 8.5417 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0963 loss: 1.0963 2022/06/28 21:41:48 - mmengine - INFO - Epoch(train) [96][900/3757] lr: 1.000e-04 eta: 1:19:05 time: 0.199 data_time: 0.014 memory: 5148 grad_norm: 10.2667 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.1785 loss: 1.1785 2022/06/28 21:41:53 - mmengine - INFO - Epoch(train) [96][920/3757] lr: 1.000e-04 eta: 1:19:00 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 8.5358 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0652 loss: 1.0652 2022/06/28 21:41:59 - mmengine - INFO - Epoch(train) [96][940/3757] lr: 1.000e-04 eta: 1:18:55 time: 0.202 data_time: 0.015 memory: 5148 grad_norm: 8.6773 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3385 loss: 1.3385 2022/06/28 21:42:04 - mmengine - INFO - Epoch(train) [96][960/3757] lr: 1.000e-04 eta: 1:18:50 time: 0.212 data_time: 0.013 memory: 5148 grad_norm: 10.3690 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0791 loss: 1.0791 2022/06/28 21:42:09 - mmengine - INFO - Epoch(train) [96][980/3757] lr: 1.000e-04 eta: 1:18:44 time: 0.206 data_time: 0.012 memory: 5148 grad_norm: 8.1579 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2131 loss: 1.2131 2022/06/28 21:42:15 - mmengine - INFO - Epoch(train) [96][1000/3757] lr: 1.000e-04 eta: 1:18:39 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 8.7591 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4284 loss: 1.4284 2022/06/28 21:42:20 - mmengine - INFO - Epoch(train) [96][1020/3757] lr: 1.000e-04 eta: 1:18:34 time: 0.202 data_time: 0.014 memory: 5148 grad_norm: 9.0665 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0395 loss: 1.0395 2022/06/28 21:42:25 - mmengine - INFO - Epoch(train) [96][1040/3757] lr: 1.000e-04 eta: 1:18:28 time: 0.222 data_time: 0.008 memory: 5148 grad_norm: 11.4480 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1829 loss: 1.1829 2022/06/28 21:42:31 - mmengine - INFO - Epoch(train) [96][1060/3757] lr: 1.000e-04 eta: 1:18:23 time: 0.218 data_time: 0.008 memory: 5148 grad_norm: 11.2262 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1761 loss: 1.1761 2022/06/28 21:42:36 - mmengine - INFO - Epoch(train) [96][1080/3757] lr: 1.000e-04 eta: 1:18:18 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 7.8589 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1935 loss: 1.1935 2022/06/28 21:42:38 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 21:42:42 - mmengine - INFO - Epoch(train) [96][1100/3757] lr: 1.000e-04 eta: 1:18:12 time: 0.213 data_time: 0.012 memory: 5148 grad_norm: 9.0642 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1316 loss: 1.1316 2022/06/28 21:42:47 - mmengine - INFO - Epoch(train) [96][1120/3757] lr: 1.000e-04 eta: 1:18:07 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 10.3693 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5937 loss: 0.5937 2022/06/28 21:42:52 - mmengine - INFO - Epoch(train) [96][1140/3757] lr: 1.000e-04 eta: 1:18:02 time: 0.199 data_time: 0.012 memory: 5148 grad_norm: 9.3259 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5512 loss: 1.5512 2022/06/28 21:42:57 - mmengine - INFO - Epoch(train) [96][1160/3757] lr: 1.000e-04 eta: 1:17:56 time: 0.210 data_time: 0.019 memory: 5148 grad_norm: 8.3768 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1282 loss: 1.1282 2022/06/28 21:43:03 - mmengine - INFO - Epoch(train) [96][1180/3757] lr: 1.000e-04 eta: 1:17:51 time: 0.204 data_time: 0.012 memory: 5148 grad_norm: 9.0718 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1201 loss: 1.1201 2022/06/28 21:43:08 - mmengine - INFO - Epoch(train) [96][1200/3757] lr: 1.000e-04 eta: 1:17:46 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 9.6266 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0954 loss: 1.0954 2022/06/28 21:43:13 - mmengine - INFO - Epoch(train) [96][1220/3757] lr: 1.000e-04 eta: 1:17:41 time: 0.224 data_time: 0.020 memory: 5148 grad_norm: 10.0382 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8986 loss: 0.8986 2022/06/28 21:43:19 - mmengine - INFO - Epoch(train) [96][1240/3757] lr: 1.000e-04 eta: 1:17:35 time: 0.213 data_time: 0.008 memory: 5148 grad_norm: 9.6223 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2164 loss: 1.2164 2022/06/28 21:43:24 - mmengine - INFO - Epoch(train) [96][1260/3757] lr: 1.000e-04 eta: 1:17:30 time: 0.206 data_time: 0.012 memory: 5148 grad_norm: 8.4793 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3088 loss: 1.3088 2022/06/28 21:43:30 - mmengine - INFO - Epoch(train) [96][1280/3757] lr: 1.000e-04 eta: 1:17:25 time: 0.204 data_time: 0.016 memory: 5148 grad_norm: 8.9124 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2998 loss: 1.2998 2022/06/28 21:43:35 - mmengine - INFO - Epoch(train) [96][1300/3757] lr: 1.000e-04 eta: 1:17:19 time: 0.221 data_time: 0.010 memory: 5148 grad_norm: 8.5846 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0614 loss: 1.0614 2022/06/28 21:43:40 - mmengine - INFO - Epoch(train) [96][1320/3757] lr: 1.000e-04 eta: 1:17:14 time: 0.216 data_time: 0.008 memory: 5148 grad_norm: 8.9137 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1925 loss: 1.1925 2022/06/28 21:43:45 - mmengine - INFO - Epoch(train) [96][1340/3757] lr: 1.000e-04 eta: 1:17:09 time: 0.209 data_time: 0.011 memory: 5148 grad_norm: 8.7584 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1075 loss: 1.1075 2022/06/28 21:43:51 - mmengine - INFO - Epoch(train) [96][1360/3757] lr: 1.000e-04 eta: 1:17:03 time: 0.223 data_time: 0.019 memory: 5148 grad_norm: 8.9590 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0073 loss: 1.0073 2022/06/28 21:43:56 - mmengine - INFO - Epoch(train) [96][1380/3757] lr: 1.000e-04 eta: 1:16:58 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 9.5477 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1215 loss: 1.1215 2022/06/28 21:44:02 - mmengine - INFO - Epoch(train) [96][1400/3757] lr: 1.000e-04 eta: 1:16:53 time: 0.201 data_time: 0.018 memory: 5148 grad_norm: 8.3810 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8399 loss: 0.8399 2022/06/28 21:44:07 - mmengine - INFO - Epoch(train) [96][1420/3757] lr: 1.000e-04 eta: 1:16:48 time: 0.206 data_time: 0.016 memory: 5148 grad_norm: 9.2806 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1283 loss: 1.1283 2022/06/28 21:44:12 - mmengine - INFO - Epoch(train) [96][1440/3757] lr: 1.000e-04 eta: 1:16:42 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 8.6059 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1781 loss: 1.1781 2022/06/28 21:44:18 - mmengine - INFO - Epoch(train) [96][1460/3757] lr: 1.000e-04 eta: 1:16:37 time: 0.204 data_time: 0.015 memory: 5148 grad_norm: 8.0630 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7618 loss: 0.7618 2022/06/28 21:44:23 - mmengine - INFO - Epoch(train) [96][1480/3757] lr: 1.000e-04 eta: 1:16:32 time: 0.210 data_time: 0.011 memory: 5148 grad_norm: 9.3082 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1403 loss: 1.1403 2022/06/28 21:44:29 - mmengine - INFO - Epoch(train) [96][1500/3757] lr: 1.000e-04 eta: 1:16:26 time: 0.216 data_time: 0.010 memory: 5148 grad_norm: 9.3188 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9257 loss: 0.9257 2022/06/28 21:44:34 - mmengine - INFO - Epoch(train) [96][1520/3757] lr: 1.000e-04 eta: 1:16:21 time: 0.198 data_time: 0.009 memory: 5148 grad_norm: 7.7610 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0344 loss: 1.0344 2022/06/28 21:44:40 - mmengine - INFO - Epoch(train) [96][1540/3757] lr: 1.000e-04 eta: 1:16:16 time: 0.203 data_time: 0.014 memory: 5148 grad_norm: 10.0708 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0145 loss: 1.0145 2022/06/28 21:44:45 - mmengine - INFO - Epoch(train) [96][1560/3757] lr: 1.000e-04 eta: 1:16:10 time: 0.211 data_time: 0.019 memory: 5148 grad_norm: 8.1099 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8368 loss: 0.8368 2022/06/28 21:44:50 - mmengine - INFO - Epoch(train) [96][1580/3757] lr: 1.000e-04 eta: 1:16:05 time: 0.211 data_time: 0.015 memory: 5148 grad_norm: 9.7256 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2043 loss: 1.2043 2022/06/28 21:44:56 - mmengine - INFO - Epoch(train) [96][1600/3757] lr: 1.000e-04 eta: 1:16:00 time: 0.220 data_time: 0.018 memory: 5148 grad_norm: 10.8607 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1946 loss: 1.1946 2022/06/28 21:45:00 - mmengine - INFO - Epoch(train) [96][1620/3757] lr: 1.000e-04 eta: 1:15:54 time: 0.198 data_time: 0.012 memory: 5148 grad_norm: 8.6371 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3015 loss: 1.3015 2022/06/28 21:45:06 - mmengine - INFO - Epoch(train) [96][1640/3757] lr: 1.000e-04 eta: 1:15:49 time: 0.202 data_time: 0.017 memory: 5148 grad_norm: 9.0316 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6371 loss: 0.6371 2022/06/28 21:45:12 - mmengine - INFO - Epoch(train) [96][1660/3757] lr: 1.000e-04 eta: 1:15:44 time: 0.204 data_time: 0.019 memory: 5148 grad_norm: 7.6685 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1422 loss: 1.1422 2022/06/28 21:45:17 - mmengine - INFO - Epoch(train) [96][1680/3757] lr: 1.000e-04 eta: 1:15:39 time: 0.201 data_time: 0.013 memory: 5148 grad_norm: 9.2834 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9816 loss: 0.9816 2022/06/28 21:45:22 - mmengine - INFO - Epoch(train) [96][1700/3757] lr: 1.000e-04 eta: 1:15:33 time: 0.204 data_time: 0.016 memory: 5148 grad_norm: 8.0172 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9551 loss: 0.9551 2022/06/28 21:45:27 - mmengine - INFO - Epoch(train) [96][1720/3757] lr: 1.000e-04 eta: 1:15:28 time: 0.205 data_time: 0.012 memory: 5148 grad_norm: 10.3149 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6620 loss: 1.6620 2022/06/28 21:45:32 - mmengine - INFO - Epoch(train) [96][1740/3757] lr: 1.000e-04 eta: 1:15:23 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 10.0576 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8464 loss: 0.8464 2022/06/28 21:45:37 - mmengine - INFO - Epoch(train) [96][1760/3757] lr: 1.000e-04 eta: 1:15:17 time: 0.210 data_time: 0.016 memory: 5148 grad_norm: 8.6175 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9703 loss: 0.9703 2022/06/28 21:45:43 - mmengine - INFO - Epoch(train) [96][1780/3757] lr: 1.000e-04 eta: 1:15:12 time: 0.212 data_time: 0.012 memory: 5148 grad_norm: 9.5870 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8717 loss: 0.8717 2022/06/28 21:45:48 - mmengine - INFO - Epoch(train) [96][1800/3757] lr: 1.000e-04 eta: 1:15:07 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 9.1977 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2465 loss: 1.2465 2022/06/28 21:45:54 - mmengine - INFO - Epoch(train) [96][1820/3757] lr: 1.000e-04 eta: 1:15:01 time: 0.212 data_time: 0.020 memory: 5148 grad_norm: 10.2584 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8462 loss: 0.8462 2022/06/28 21:46:00 - mmengine - INFO - Epoch(train) [96][1840/3757] lr: 1.000e-04 eta: 1:14:56 time: 0.205 data_time: 0.013 memory: 5148 grad_norm: 8.1167 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7622 loss: 0.7622 2022/06/28 21:46:05 - mmengine - INFO - Epoch(train) [96][1860/3757] lr: 1.000e-04 eta: 1:14:51 time: 0.321 data_time: 0.007 memory: 5148 grad_norm: 7.6286 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3697 loss: 1.3697 2022/06/28 21:46:10 - mmengine - INFO - Epoch(train) [96][1880/3757] lr: 1.000e-04 eta: 1:14:45 time: 0.361 data_time: 0.022 memory: 5148 grad_norm: 7.9187 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0182 loss: 1.0182 2022/06/28 21:46:15 - mmengine - INFO - Epoch(train) [96][1900/3757] lr: 1.000e-04 eta: 1:14:40 time: 0.205 data_time: 0.016 memory: 5148 grad_norm: 9.7777 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3081 loss: 1.3081 2022/06/28 21:46:20 - mmengine - INFO - Epoch(train) [96][1920/3757] lr: 1.000e-04 eta: 1:14:35 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 9.1527 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1315 loss: 1.1315 2022/06/28 21:46:26 - mmengine - INFO - Epoch(train) [96][1940/3757] lr: 1.000e-04 eta: 1:14:30 time: 0.567 data_time: 0.031 memory: 5148 grad_norm: 8.7242 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4075 loss: 1.4075 2022/06/28 21:46:31 - mmengine - INFO - Epoch(train) [96][1960/3757] lr: 1.000e-04 eta: 1:14:24 time: 0.221 data_time: 0.006 memory: 5148 grad_norm: 8.7537 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9794 loss: 0.9794 2022/06/28 21:46:36 - mmengine - INFO - Epoch(train) [96][1980/3757] lr: 1.000e-04 eta: 1:14:19 time: 0.209 data_time: 0.011 memory: 5148 grad_norm: 8.3180 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8847 loss: 0.8847 2022/06/28 21:46:41 - mmengine - INFO - Epoch(train) [96][2000/3757] lr: 1.000e-04 eta: 1:14:14 time: 0.726 data_time: 0.033 memory: 5148 grad_norm: 9.3886 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0662 loss: 1.0662 2022/06/28 21:46:46 - mmengine - INFO - Epoch(train) [96][2020/3757] lr: 1.000e-04 eta: 1:14:08 time: 0.214 data_time: 0.006 memory: 5148 grad_norm: 9.4475 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9633 loss: 0.9633 2022/06/28 21:46:51 - mmengine - INFO - Epoch(train) [96][2040/3757] lr: 1.000e-04 eta: 1:14:03 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 9.9882 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3258 loss: 1.3258 2022/06/28 21:46:57 - mmengine - INFO - Epoch(train) [96][2060/3757] lr: 1.000e-04 eta: 1:13:58 time: 0.375 data_time: 0.039 memory: 5148 grad_norm: 8.3342 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0464 loss: 1.0464 2022/06/28 21:47:02 - mmengine - INFO - Epoch(train) [96][2080/3757] lr: 1.000e-04 eta: 1:13:52 time: 0.213 data_time: 0.018 memory: 5148 grad_norm: 9.6269 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3803 loss: 1.3803 2022/06/28 21:47:04 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 21:47:07 - mmengine - INFO - Epoch(train) [96][2100/3757] lr: 1.000e-04 eta: 1:13:47 time: 0.208 data_time: 0.009 memory: 5148 grad_norm: 9.0926 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2958 loss: 1.2958 2022/06/28 21:47:13 - mmengine - INFO - Epoch(train) [96][2120/3757] lr: 1.000e-04 eta: 1:13:42 time: 0.225 data_time: 0.037 memory: 5148 grad_norm: 11.6750 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9387 loss: 0.9387 2022/06/28 21:47:18 - mmengine - INFO - Epoch(train) [96][2140/3757] lr: 1.000e-04 eta: 1:13:36 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 8.4898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9177 loss: 0.9177 2022/06/28 21:47:23 - mmengine - INFO - Epoch(train) [96][2160/3757] lr: 1.000e-04 eta: 1:13:31 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 10.8313 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0713 loss: 1.0713 2022/06/28 21:47:28 - mmengine - INFO - Epoch(train) [96][2180/3757] lr: 1.000e-04 eta: 1:13:26 time: 0.228 data_time: 0.042 memory: 5148 grad_norm: 8.8233 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4281 loss: 1.4281 2022/06/28 21:47:34 - mmengine - INFO - Epoch(train) [96][2200/3757] lr: 1.000e-04 eta: 1:13:20 time: 0.221 data_time: 0.007 memory: 5148 grad_norm: 9.2616 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9609 loss: 0.9609 2022/06/28 21:47:39 - mmengine - INFO - Epoch(train) [96][2220/3757] lr: 1.000e-04 eta: 1:13:15 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 6.9812 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1925 loss: 1.1925 2022/06/28 21:47:45 - mmengine - INFO - Epoch(train) [96][2240/3757] lr: 1.000e-04 eta: 1:13:10 time: 0.221 data_time: 0.038 memory: 5148 grad_norm: 8.9563 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1882 loss: 1.1882 2022/06/28 21:47:50 - mmengine - INFO - Epoch(train) [96][2260/3757] lr: 1.000e-04 eta: 1:13:05 time: 0.220 data_time: 0.007 memory: 5148 grad_norm: 9.3142 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3140 loss: 1.3140 2022/06/28 21:47:55 - mmengine - INFO - Epoch(train) [96][2280/3757] lr: 1.000e-04 eta: 1:12:59 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 10.0934 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.1764 loss: 1.1764 2022/06/28 21:48:01 - mmengine - INFO - Epoch(train) [96][2300/3757] lr: 1.000e-04 eta: 1:12:54 time: 0.226 data_time: 0.027 memory: 5148 grad_norm: 7.7680 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1494 loss: 1.1494 2022/06/28 21:48:06 - mmengine - INFO - Epoch(train) [96][2320/3757] lr: 1.000e-04 eta: 1:12:49 time: 0.211 data_time: 0.011 memory: 5148 grad_norm: 10.1255 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1723 loss: 1.1723 2022/06/28 21:48:12 - mmengine - INFO - Epoch(train) [96][2340/3757] lr: 1.000e-04 eta: 1:12:43 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 8.8714 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.8082 loss: 0.8082 2022/06/28 21:48:17 - mmengine - INFO - Epoch(train) [96][2360/3757] lr: 1.000e-04 eta: 1:12:38 time: 0.214 data_time: 0.028 memory: 5148 grad_norm: 8.9050 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0612 loss: 1.0612 2022/06/28 21:48:22 - mmengine - INFO - Epoch(train) [96][2380/3757] lr: 1.000e-04 eta: 1:12:33 time: 0.215 data_time: 0.011 memory: 5148 grad_norm: 9.4083 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2112 loss: 1.2112 2022/06/28 21:48:28 - mmengine - INFO - Epoch(train) [96][2400/3757] lr: 1.000e-04 eta: 1:12:27 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 9.9980 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0157 loss: 1.0157 2022/06/28 21:48:32 - mmengine - INFO - Epoch(train) [96][2420/3757] lr: 1.000e-04 eta: 1:12:22 time: 0.206 data_time: 0.013 memory: 5148 grad_norm: 9.6987 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9924 loss: 0.9924 2022/06/28 21:48:38 - mmengine - INFO - Epoch(train) [96][2440/3757] lr: 1.000e-04 eta: 1:12:17 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 9.2001 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4435 loss: 1.4435 2022/06/28 21:48:43 - mmengine - INFO - Epoch(train) [96][2460/3757] lr: 1.000e-04 eta: 1:12:11 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 9.0751 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1312 loss: 1.1312 2022/06/28 21:48:48 - mmengine - INFO - Epoch(train) [96][2480/3757] lr: 1.000e-04 eta: 1:12:06 time: 0.214 data_time: 0.010 memory: 5148 grad_norm: 13.2973 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1551 loss: 1.1551 2022/06/28 21:48:53 - mmengine - INFO - Epoch(train) [96][2500/3757] lr: 1.000e-04 eta: 1:12:01 time: 0.208 data_time: 0.014 memory: 5148 grad_norm: 8.2855 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3372 loss: 1.3372 2022/06/28 21:48:59 - mmengine - INFO - Epoch(train) [96][2520/3757] lr: 1.000e-04 eta: 1:11:56 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 9.0050 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8694 loss: 0.8694 2022/06/28 21:49:04 - mmengine - INFO - Epoch(train) [96][2540/3757] lr: 1.000e-04 eta: 1:11:50 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 9.5283 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3032 loss: 1.3032 2022/06/28 21:49:10 - mmengine - INFO - Epoch(train) [96][2560/3757] lr: 1.000e-04 eta: 1:11:45 time: 0.213 data_time: 0.028 memory: 5148 grad_norm: 11.5567 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3212 loss: 1.3212 2022/06/28 21:49:15 - mmengine - INFO - Epoch(train) [96][2580/3757] lr: 1.000e-04 eta: 1:11:40 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 11.0646 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2248 loss: 1.2248 2022/06/28 21:49:20 - mmengine - INFO - Epoch(train) [96][2600/3757] lr: 1.000e-04 eta: 1:11:34 time: 0.202 data_time: 0.013 memory: 5148 grad_norm: 10.3143 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4673 loss: 1.4673 2022/06/28 21:49:26 - mmengine - INFO - Epoch(train) [96][2620/3757] lr: 1.000e-04 eta: 1:11:29 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 10.5442 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8585 loss: 0.8585 2022/06/28 21:49:31 - mmengine - INFO - Epoch(train) [96][2640/3757] lr: 1.000e-04 eta: 1:11:24 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 10.1155 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4829 loss: 1.4829 2022/06/28 21:49:36 - mmengine - INFO - Epoch(train) [96][2660/3757] lr: 1.000e-04 eta: 1:11:18 time: 0.203 data_time: 0.015 memory: 5148 grad_norm: 9.1630 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8942 loss: 0.8942 2022/06/28 21:49:41 - mmengine - INFO - Epoch(train) [96][2680/3757] lr: 1.000e-04 eta: 1:11:13 time: 0.194 data_time: 0.007 memory: 5148 grad_norm: 10.5792 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 0.8984 loss: 0.8984 2022/06/28 21:49:47 - mmengine - INFO - Epoch(train) [96][2700/3757] lr: 1.000e-04 eta: 1:11:08 time: 0.228 data_time: 0.009 memory: 5148 grad_norm: 10.2485 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2365 loss: 1.2365 2022/06/28 21:49:52 - mmengine - INFO - Epoch(train) [96][2720/3757] lr: 1.000e-04 eta: 1:11:02 time: 0.199 data_time: 0.009 memory: 5148 grad_norm: 9.5249 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1388 loss: 1.1388 2022/06/28 21:49:57 - mmengine - INFO - Epoch(train) [96][2740/3757] lr: 1.000e-04 eta: 1:10:57 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 9.6908 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3507 loss: 1.3507 2022/06/28 21:50:03 - mmengine - INFO - Epoch(train) [96][2760/3757] lr: 1.000e-04 eta: 1:10:52 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 9.6847 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9809 loss: 0.9809 2022/06/28 21:50:09 - mmengine - INFO - Epoch(train) [96][2780/3757] lr: 1.000e-04 eta: 1:10:47 time: 0.213 data_time: 0.010 memory: 5148 grad_norm: 10.5361 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1015 loss: 1.1015 2022/06/28 21:50:14 - mmengine - INFO - Epoch(train) [96][2800/3757] lr: 1.000e-04 eta: 1:10:41 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 10.7824 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0130 loss: 1.0130 2022/06/28 21:50:19 - mmengine - INFO - Epoch(train) [96][2820/3757] lr: 1.000e-04 eta: 1:10:36 time: 0.210 data_time: 0.012 memory: 5148 grad_norm: 9.8905 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0117 loss: 1.0117 2022/06/28 21:50:24 - mmengine - INFO - Epoch(train) [96][2840/3757] lr: 1.000e-04 eta: 1:10:31 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 7.6896 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2034 loss: 1.2034 2022/06/28 21:50:30 - mmengine - INFO - Epoch(train) [96][2860/3757] lr: 1.000e-04 eta: 1:10:25 time: 0.203 data_time: 0.012 memory: 5148 grad_norm: 8.8929 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3342 loss: 1.3342 2022/06/28 21:50:35 - mmengine - INFO - Epoch(train) [96][2880/3757] lr: 1.000e-04 eta: 1:10:20 time: 0.227 data_time: 0.008 memory: 5148 grad_norm: 10.9470 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2488 loss: 1.2488 2022/06/28 21:50:40 - mmengine - INFO - Epoch(train) [96][2900/3757] lr: 1.000e-04 eta: 1:10:15 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 9.5731 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4052 loss: 1.4052 2022/06/28 21:50:45 - mmengine - INFO - Epoch(train) [96][2920/3757] lr: 1.000e-04 eta: 1:10:09 time: 0.228 data_time: 0.006 memory: 5148 grad_norm: 9.0344 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1613 loss: 1.1613 2022/06/28 21:50:51 - mmengine - INFO - Epoch(train) [96][2940/3757] lr: 1.000e-04 eta: 1:10:04 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 7.6694 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3510 loss: 1.3510 2022/06/28 21:50:57 - mmengine - INFO - Epoch(train) [96][2960/3757] lr: 1.000e-04 eta: 1:09:59 time: 0.208 data_time: 0.010 memory: 5148 grad_norm: 8.0330 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0048 loss: 1.0048 2022/06/28 21:51:02 - mmengine - INFO - Epoch(train) [96][2980/3757] lr: 1.000e-04 eta: 1:09:53 time: 0.208 data_time: 0.009 memory: 5148 grad_norm: 7.7460 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8943 loss: 0.8943 2022/06/28 21:51:07 - mmengine - INFO - Epoch(train) [96][3000/3757] lr: 1.000e-04 eta: 1:09:48 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 11.2375 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2371 loss: 1.2371 2022/06/28 21:51:13 - mmengine - INFO - Epoch(train) [96][3020/3757] lr: 1.000e-04 eta: 1:09:43 time: 0.210 data_time: 0.012 memory: 5148 grad_norm: 12.1452 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8890 loss: 0.8890 2022/06/28 21:51:18 - mmengine - INFO - Epoch(train) [96][3040/3757] lr: 1.000e-04 eta: 1:09:38 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 9.4630 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4242 loss: 1.4242 2022/06/28 21:51:24 - mmengine - INFO - Epoch(train) [96][3060/3757] lr: 1.000e-04 eta: 1:09:32 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 11.6896 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3473 loss: 1.3473 2022/06/28 21:51:29 - mmengine - INFO - Epoch(train) [96][3080/3757] lr: 1.000e-04 eta: 1:09:27 time: 0.210 data_time: 0.011 memory: 5148 grad_norm: 8.3076 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1186 loss: 1.1186 2022/06/28 21:51:30 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 21:51:33 - mmengine - INFO - Epoch(train) [96][3100/3757] lr: 1.000e-04 eta: 1:09:22 time: 0.200 data_time: 0.015 memory: 5148 grad_norm: 10.4899 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0834 loss: 1.0834 2022/06/28 21:51:38 - mmengine - INFO - Epoch(train) [96][3120/3757] lr: 1.000e-04 eta: 1:09:16 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 8.9259 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2614 loss: 1.2614 2022/06/28 21:51:44 - mmengine - INFO - Epoch(train) [96][3140/3757] lr: 1.000e-04 eta: 1:09:11 time: 0.208 data_time: 0.017 memory: 5148 grad_norm: 9.5787 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3120 loss: 1.3120 2022/06/28 21:51:49 - mmengine - INFO - Epoch(train) [96][3160/3757] lr: 1.000e-04 eta: 1:09:06 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 9.3165 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9149 loss: 0.9149 2022/06/28 21:51:55 - mmengine - INFO - Epoch(train) [96][3180/3757] lr: 1.000e-04 eta: 1:09:00 time: 0.205 data_time: 0.016 memory: 5148 grad_norm: 7.4375 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2779 loss: 1.2779 2022/06/28 21:52:00 - mmengine - INFO - Epoch(train) [96][3200/3757] lr: 1.000e-04 eta: 1:08:55 time: 0.208 data_time: 0.010 memory: 5148 grad_norm: 11.6585 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5499 loss: 1.5499 2022/06/28 21:52:05 - mmengine - INFO - Epoch(train) [96][3220/3757] lr: 1.000e-04 eta: 1:08:50 time: 0.215 data_time: 0.011 memory: 5148 grad_norm: 9.7373 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2304 loss: 1.2304 2022/06/28 21:52:11 - mmengine - INFO - Epoch(train) [96][3240/3757] lr: 1.000e-04 eta: 1:08:44 time: 0.203 data_time: 0.013 memory: 5148 grad_norm: 10.3285 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0810 loss: 1.0810 2022/06/28 21:52:16 - mmengine - INFO - Epoch(train) [96][3260/3757] lr: 1.000e-04 eta: 1:08:39 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 7.2601 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0121 loss: 1.0121 2022/06/28 21:52:21 - mmengine - INFO - Epoch(train) [96][3280/3757] lr: 1.000e-04 eta: 1:08:34 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 8.1837 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3814 loss: 1.3814 2022/06/28 21:52:27 - mmengine - INFO - Epoch(train) [96][3300/3757] lr: 1.000e-04 eta: 1:08:29 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 9.5959 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0804 loss: 1.0804 2022/06/28 21:52:32 - mmengine - INFO - Epoch(train) [96][3320/3757] lr: 1.000e-04 eta: 1:08:23 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 10.5431 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8983 loss: 0.8983 2022/06/28 21:52:38 - mmengine - INFO - Epoch(train) [96][3340/3757] lr: 1.000e-04 eta: 1:08:18 time: 0.208 data_time: 0.020 memory: 5148 grad_norm: 9.3264 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2432 loss: 1.2432 2022/06/28 21:52:43 - mmengine - INFO - Epoch(train) [96][3360/3757] lr: 1.000e-04 eta: 1:08:13 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 9.7867 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1732 loss: 1.1732 2022/06/28 21:52:48 - mmengine - INFO - Epoch(train) [96][3380/3757] lr: 1.000e-04 eta: 1:08:07 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 7.1653 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8479 loss: 0.8479 2022/06/28 21:52:53 - mmengine - INFO - Epoch(train) [96][3400/3757] lr: 1.000e-04 eta: 1:08:02 time: 0.220 data_time: 0.006 memory: 5148 grad_norm: 9.8620 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2897 loss: 1.2897 2022/06/28 21:53:00 - mmengine - INFO - Epoch(train) [96][3420/3757] lr: 1.000e-04 eta: 1:07:57 time: 0.244 data_time: 0.060 memory: 5148 grad_norm: 9.6087 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1281 loss: 1.1281 2022/06/28 21:53:04 - mmengine - INFO - Epoch(train) [96][3440/3757] lr: 1.000e-04 eta: 1:07:51 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 9.3280 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3512 loss: 1.3512 2022/06/28 21:53:10 - mmengine - INFO - Epoch(train) [96][3460/3757] lr: 1.000e-04 eta: 1:07:46 time: 0.217 data_time: 0.014 memory: 5148 grad_norm: 9.5148 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2008 loss: 1.2008 2022/06/28 21:53:15 - mmengine - INFO - Epoch(train) [96][3480/3757] lr: 1.000e-04 eta: 1:07:41 time: 0.211 data_time: 0.013 memory: 5148 grad_norm: 9.2916 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1191 loss: 1.1191 2022/06/28 21:53:20 - mmengine - INFO - Epoch(train) [96][3500/3757] lr: 1.000e-04 eta: 1:07:35 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 9.5587 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1581 loss: 1.1581 2022/06/28 21:53:25 - mmengine - INFO - Epoch(train) [96][3520/3757] lr: 1.000e-04 eta: 1:07:30 time: 0.207 data_time: 0.013 memory: 5148 grad_norm: 10.7397 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0726 loss: 1.0726 2022/06/28 21:53:31 - mmengine - INFO - Epoch(train) [96][3540/3757] lr: 1.000e-04 eta: 1:07:25 time: 0.229 data_time: 0.007 memory: 5148 grad_norm: 9.5286 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9524 loss: 0.9524 2022/06/28 21:53:36 - mmengine - INFO - Epoch(train) [96][3560/3757] lr: 1.000e-04 eta: 1:07:20 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 8.7967 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6581 loss: 1.6581 2022/06/28 21:53:41 - mmengine - INFO - Epoch(train) [96][3580/3757] lr: 1.000e-04 eta: 1:07:14 time: 0.202 data_time: 0.018 memory: 5148 grad_norm: 11.1215 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4510 loss: 1.4510 2022/06/28 21:53:46 - mmengine - INFO - Epoch(train) [96][3600/3757] lr: 1.000e-04 eta: 1:07:09 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 10.2951 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1320 loss: 1.1320 2022/06/28 21:53:51 - mmengine - INFO - Epoch(train) [96][3620/3757] lr: 1.000e-04 eta: 1:07:04 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 9.1948 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9039 loss: 0.9039 2022/06/28 21:53:57 - mmengine - INFO - Epoch(train) [96][3640/3757] lr: 1.000e-04 eta: 1:06:58 time: 0.210 data_time: 0.019 memory: 5148 grad_norm: 12.0196 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3486 loss: 1.3486 2022/06/28 21:54:02 - mmengine - INFO - Epoch(train) [96][3660/3757] lr: 1.000e-04 eta: 1:06:53 time: 0.203 data_time: 0.009 memory: 5148 grad_norm: 7.1254 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0386 loss: 1.0386 2022/06/28 21:54:07 - mmengine - INFO - Epoch(train) [96][3680/3757] lr: 1.000e-04 eta: 1:06:48 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 9.4425 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4591 loss: 1.4591 2022/06/28 21:54:12 - mmengine - INFO - Epoch(train) [96][3700/3757] lr: 1.000e-04 eta: 1:06:42 time: 0.212 data_time: 0.011 memory: 5148 grad_norm: 10.4765 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1908 loss: 1.1908 2022/06/28 21:54:18 - mmengine - INFO - Epoch(train) [96][3720/3757] lr: 1.000e-04 eta: 1:06:37 time: 0.207 data_time: 0.016 memory: 5148 grad_norm: 8.6669 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9199 loss: 0.9199 2022/06/28 21:54:24 - mmengine - INFO - Epoch(train) [96][3740/3757] lr: 1.000e-04 eta: 1:06:32 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 7.7695 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2987 loss: 1.2987 2022/06/28 21:54:28 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 21:54:35 - mmengine - INFO - Epoch(val) [96][20/310] eta: 0:01:13 time: 0.204 data_time: 0.132 memory: 5148 2022/06/28 21:54:39 - mmengine - INFO - Epoch(val) [96][40/310] eta: 0:01:03 time: 0.081 data_time: 0.005 memory: 1367 2022/06/28 21:54:45 - mmengine - INFO - Epoch(val) [96][60/310] eta: 0:00:56 time: 0.096 data_time: 0.017 memory: 1367 2022/06/28 21:54:50 - mmengine - INFO - Epoch(val) [96][80/310] eta: 0:00:53 time: 0.082 data_time: 0.010 memory: 1367 2022/06/28 21:54:56 - mmengine - INFO - Epoch(val) [96][100/310] eta: 0:00:45 time: 0.080 data_time: 0.008 memory: 1367 2022/06/28 21:55:00 - mmengine - INFO - Epoch(val) [96][120/310] eta: 0:00:44 time: 0.180 data_time: 0.109 memory: 1367 2022/06/28 21:55:07 - mmengine - INFO - Epoch(val) [96][140/310] eta: 0:00:54 time: 0.949 data_time: 0.878 memory: 1367 2022/06/28 21:55:11 - mmengine - INFO - Epoch(val) [96][160/310] eta: 0:00:36 time: 0.350 data_time: 0.272 memory: 1367 2022/06/28 21:55:17 - mmengine - INFO - Epoch(val) [96][180/310] eta: 0:00:47 time: 1.263 data_time: 1.186 memory: 1367 2022/06/28 21:55:22 - mmengine - INFO - Epoch(val) [96][200/310] eta: 0:00:27 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 21:55:28 - mmengine - INFO - Epoch(val) [96][220/310] eta: 0:00:31 time: 0.145 data_time: 0.067 memory: 1367 2022/06/28 21:55:32 - mmengine - INFO - Epoch(val) [96][240/310] eta: 0:00:15 time: 0.087 data_time: 0.009 memory: 1367 2022/06/28 21:55:38 - mmengine - INFO - Epoch(val) [96][260/310] eta: 0:00:18 time: 0.327 data_time: 0.251 memory: 1367 2022/06/28 21:55:43 - mmengine - INFO - Epoch(val) [96][280/310] eta: 0:00:07 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 21:55:49 - mmengine - INFO - Epoch(val) [96][300/310] eta: 0:00:03 time: 0.145 data_time: 0.067 memory: 1367 2022/06/28 21:55:52 - mmengine - INFO - Epoch(val) [96][310/310] acc/top1: 0.6615 acc/top5: 0.8639 acc/mean1: 0.6614 2022/06/28 21:56:00 - mmengine - INFO - Epoch(train) [97][20/3757] lr: 1.000e-04 eta: 1:06:22 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 9.3926 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1779 loss: 1.1779 2022/06/28 21:56:06 - mmengine - INFO - Epoch(train) [97][40/3757] lr: 1.000e-04 eta: 1:06:17 time: 0.226 data_time: 0.007 memory: 5148 grad_norm: 8.7122 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0718 loss: 1.0718 2022/06/28 21:56:11 - mmengine - INFO - Epoch(train) [97][60/3757] lr: 1.000e-04 eta: 1:06:11 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 11.8387 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2148 loss: 1.2148 2022/06/28 21:56:17 - mmengine - INFO - Epoch(train) [97][80/3757] lr: 1.000e-04 eta: 1:06:06 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 7.7933 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8057 loss: 0.8057 2022/06/28 21:56:23 - mmengine - INFO - Epoch(train) [97][100/3757] lr: 1.000e-04 eta: 1:06:01 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 9.1714 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1302 loss: 1.1302 2022/06/28 21:56:28 - mmengine - INFO - Epoch(train) [97][120/3757] lr: 1.000e-04 eta: 1:05:56 time: 0.212 data_time: 0.008 memory: 5148 grad_norm: 10.1881 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1312 loss: 1.1312 2022/06/28 21:56:33 - mmengine - INFO - Epoch(train) [97][140/3757] lr: 1.000e-04 eta: 1:05:50 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 8.9329 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0855 loss: 1.0855 2022/06/28 21:56:39 - mmengine - INFO - Epoch(train) [97][160/3757] lr: 1.000e-04 eta: 1:05:45 time: 0.224 data_time: 0.009 memory: 5148 grad_norm: 9.9834 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2134 loss: 1.2134 2022/06/28 21:56:44 - mmengine - INFO - Epoch(train) [97][180/3757] lr: 1.000e-04 eta: 1:05:40 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 10.0745 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2360 loss: 1.2360 2022/06/28 21:56:49 - mmengine - INFO - Epoch(train) [97][200/3757] lr: 1.000e-04 eta: 1:05:34 time: 0.202 data_time: 0.009 memory: 5148 grad_norm: 10.3076 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0649 loss: 1.0649 2022/06/28 21:56:55 - mmengine - INFO - Epoch(train) [97][220/3757] lr: 1.000e-04 eta: 1:05:29 time: 0.228 data_time: 0.007 memory: 5148 grad_norm: 9.5969 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3034 loss: 1.3034 2022/06/28 21:57:00 - mmengine - INFO - Epoch(train) [97][240/3757] lr: 1.000e-04 eta: 1:05:24 time: 0.195 data_time: 0.012 memory: 5148 grad_norm: 8.2499 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2532 loss: 1.2532 2022/06/28 21:57:05 - mmengine - INFO - Epoch(train) [97][260/3757] lr: 1.000e-04 eta: 1:05:18 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 10.1259 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1897 loss: 1.1897 2022/06/28 21:57:11 - mmengine - INFO - Epoch(train) [97][280/3757] lr: 1.000e-04 eta: 1:05:13 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 8.9272 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9607 loss: 0.9607 2022/06/28 21:57:16 - mmengine - INFO - Epoch(train) [97][300/3757] lr: 1.000e-04 eta: 1:05:08 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 8.8444 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0550 loss: 1.0550 2022/06/28 21:57:21 - mmengine - INFO - Epoch(train) [97][320/3757] lr: 1.000e-04 eta: 1:05:02 time: 0.200 data_time: 0.009 memory: 5148 grad_norm: 9.3951 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2892 loss: 1.2892 2022/06/28 21:57:23 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 21:57:26 - mmengine - INFO - Epoch(train) [97][340/3757] lr: 1.000e-04 eta: 1:04:57 time: 0.228 data_time: 0.012 memory: 5148 grad_norm: 9.7218 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2993 loss: 1.2993 2022/06/28 21:57:31 - mmengine - INFO - Epoch(train) [97][360/3757] lr: 1.000e-04 eta: 1:04:52 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 8.8747 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1776 loss: 1.1776 2022/06/28 21:57:37 - mmengine - INFO - Epoch(train) [97][380/3757] lr: 1.000e-04 eta: 1:04:47 time: 0.202 data_time: 0.006 memory: 5148 grad_norm: 9.5645 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0082 loss: 1.0082 2022/06/28 21:57:42 - mmengine - INFO - Epoch(train) [97][400/3757] lr: 1.000e-04 eta: 1:04:41 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 7.6535 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3189 loss: 1.3189 2022/06/28 21:57:48 - mmengine - INFO - Epoch(train) [97][420/3757] lr: 1.000e-04 eta: 1:04:36 time: 0.199 data_time: 0.006 memory: 5148 grad_norm: 11.5480 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9628 loss: 0.9628 2022/06/28 21:57:53 - mmengine - INFO - Epoch(train) [97][440/3757] lr: 1.000e-04 eta: 1:04:31 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 9.3182 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3029 loss: 1.3029 2022/06/28 21:57:58 - mmengine - INFO - Epoch(train) [97][460/3757] lr: 1.000e-04 eta: 1:04:25 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 9.9361 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8134 loss: 0.8134 2022/06/28 21:58:03 - mmengine - INFO - Epoch(train) [97][480/3757] lr: 1.000e-04 eta: 1:04:20 time: 0.210 data_time: 0.012 memory: 5148 grad_norm: 9.9326 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1368 loss: 1.1368 2022/06/28 21:58:09 - mmengine - INFO - Epoch(train) [97][500/3757] lr: 1.000e-04 eta: 1:04:15 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 9.4720 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8046 loss: 0.8046 2022/06/28 21:58:14 - mmengine - INFO - Epoch(train) [97][520/3757] lr: 1.000e-04 eta: 1:04:09 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 8.4440 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9329 loss: 0.9329 2022/06/28 21:58:19 - mmengine - INFO - Epoch(train) [97][540/3757] lr: 1.000e-04 eta: 1:04:04 time: 0.212 data_time: 0.006 memory: 5148 grad_norm: 9.5927 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8573 loss: 0.8573 2022/06/28 21:58:24 - mmengine - INFO - Epoch(train) [97][560/3757] lr: 1.000e-04 eta: 1:03:59 time: 0.199 data_time: 0.012 memory: 5148 grad_norm: 8.3843 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2623 loss: 1.2623 2022/06/28 21:58:30 - mmengine - INFO - Epoch(train) [97][580/3757] lr: 1.000e-04 eta: 1:03:53 time: 0.206 data_time: 0.020 memory: 5148 grad_norm: 8.3377 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0348 loss: 1.0348 2022/06/28 21:58:34 - mmengine - INFO - Epoch(train) [97][600/3757] lr: 1.000e-04 eta: 1:03:48 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 9.5467 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9370 loss: 0.9370 2022/06/28 21:58:40 - mmengine - INFO - Epoch(train) [97][620/3757] lr: 1.000e-04 eta: 1:03:43 time: 0.207 data_time: 0.014 memory: 5148 grad_norm: 8.3620 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3858 loss: 1.3858 2022/06/28 21:58:45 - mmengine - INFO - Epoch(train) [97][640/3757] lr: 1.000e-04 eta: 1:03:37 time: 0.201 data_time: 0.009 memory: 5148 grad_norm: 7.4968 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9577 loss: 0.9577 2022/06/28 21:58:50 - mmengine - INFO - Epoch(train) [97][660/3757] lr: 1.000e-04 eta: 1:03:32 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 9.9915 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1396 loss: 1.1396 2022/06/28 21:58:55 - mmengine - INFO - Epoch(train) [97][680/3757] lr: 1.000e-04 eta: 1:03:27 time: 0.206 data_time: 0.015 memory: 5148 grad_norm: 8.7459 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0905 loss: 1.0905 2022/06/28 21:59:01 - mmengine - INFO - Epoch(train) [97][700/3757] lr: 1.000e-04 eta: 1:03:22 time: 0.212 data_time: 0.011 memory: 5148 grad_norm: 10.5306 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1635 loss: 1.1635 2022/06/28 21:59:06 - mmengine - INFO - Epoch(train) [97][720/3757] lr: 1.000e-04 eta: 1:03:16 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 8.5874 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1330 loss: 1.1330 2022/06/28 21:59:11 - mmengine - INFO - Epoch(train) [97][740/3757] lr: 1.000e-04 eta: 1:03:11 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 9.7465 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2845 loss: 1.2845 2022/06/28 21:59:16 - mmengine - INFO - Epoch(train) [97][760/3757] lr: 1.000e-04 eta: 1:03:06 time: 0.218 data_time: 0.011 memory: 5148 grad_norm: 9.6289 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5037 loss: 1.5037 2022/06/28 21:59:21 - mmengine - INFO - Epoch(train) [97][780/3757] lr: 1.000e-04 eta: 1:03:00 time: 0.203 data_time: 0.012 memory: 5148 grad_norm: 8.5811 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3282 loss: 1.3282 2022/06/28 21:59:27 - mmengine - INFO - Epoch(train) [97][800/3757] lr: 1.000e-04 eta: 1:02:55 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 11.5179 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1825 loss: 1.1825 2022/06/28 21:59:32 - mmengine - INFO - Epoch(train) [97][820/3757] lr: 1.000e-04 eta: 1:02:50 time: 0.201 data_time: 0.019 memory: 5148 grad_norm: 9.2547 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3126 loss: 1.3126 2022/06/28 21:59:37 - mmengine - INFO - Epoch(train) [97][840/3757] lr: 1.000e-04 eta: 1:02:44 time: 0.200 data_time: 0.016 memory: 5148 grad_norm: 8.1096 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9993 loss: 0.9993 2022/06/28 21:59:42 - mmengine - INFO - Epoch(train) [97][860/3757] lr: 1.000e-04 eta: 1:02:39 time: 0.216 data_time: 0.011 memory: 5148 grad_norm: 8.7727 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1021 loss: 1.1021 2022/06/28 21:59:48 - mmengine - INFO - Epoch(train) [97][880/3757] lr: 1.000e-04 eta: 1:02:34 time: 0.211 data_time: 0.014 memory: 5148 grad_norm: 7.8510 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1658 loss: 1.1658 2022/06/28 21:59:52 - mmengine - INFO - Epoch(train) [97][900/3757] lr: 1.000e-04 eta: 1:02:28 time: 0.204 data_time: 0.017 memory: 5148 grad_norm: 9.8044 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1102 loss: 1.1102 2022/06/28 21:59:58 - mmengine - INFO - Epoch(train) [97][920/3757] lr: 1.000e-04 eta: 1:02:23 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 8.0463 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1085 loss: 1.1085 2022/06/28 22:00:03 - mmengine - INFO - Epoch(train) [97][940/3757] lr: 1.000e-04 eta: 1:02:18 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 8.0440 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3721 loss: 1.3721 2022/06/28 22:00:09 - mmengine - INFO - Epoch(train) [97][960/3757] lr: 1.000e-04 eta: 1:02:13 time: 0.217 data_time: 0.027 memory: 5148 grad_norm: 7.3446 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0650 loss: 1.0650 2022/06/28 22:00:14 - mmengine - INFO - Epoch(train) [97][980/3757] lr: 1.000e-04 eta: 1:02:07 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 8.4359 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3667 loss: 1.3667 2022/06/28 22:00:19 - mmengine - INFO - Epoch(train) [97][1000/3757] lr: 1.000e-04 eta: 1:02:02 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 9.2483 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7053 loss: 1.7053 2022/06/28 22:00:25 - mmengine - INFO - Epoch(train) [97][1020/3757] lr: 1.000e-04 eta: 1:01:57 time: 0.209 data_time: 0.027 memory: 5148 grad_norm: 11.1987 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2082 loss: 1.2082 2022/06/28 22:00:31 - mmengine - INFO - Epoch(train) [97][1040/3757] lr: 1.000e-04 eta: 1:01:51 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 8.9744 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3747 loss: 1.3747 2022/06/28 22:00:35 - mmengine - INFO - Epoch(train) [97][1060/3757] lr: 1.000e-04 eta: 1:01:46 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 9.8901 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.4442 loss: 1.4442 2022/06/28 22:00:41 - mmengine - INFO - Epoch(train) [97][1080/3757] lr: 1.000e-04 eta: 1:01:41 time: 0.200 data_time: 0.022 memory: 5148 grad_norm: 9.1297 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0263 loss: 1.0263 2022/06/28 22:00:46 - mmengine - INFO - Epoch(train) [97][1100/3757] lr: 1.000e-04 eta: 1:01:35 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 9.7655 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2711 loss: 1.2711 2022/06/28 22:00:51 - mmengine - INFO - Epoch(train) [97][1120/3757] lr: 1.000e-04 eta: 1:01:30 time: 0.204 data_time: 0.013 memory: 5148 grad_norm: 9.6603 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1878 loss: 1.1878 2022/06/28 22:00:56 - mmengine - INFO - Epoch(train) [97][1140/3757] lr: 1.000e-04 eta: 1:01:25 time: 0.221 data_time: 0.038 memory: 5148 grad_norm: 9.8012 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0838 loss: 1.0838 2022/06/28 22:01:01 - mmengine - INFO - Epoch(train) [97][1160/3757] lr: 1.000e-04 eta: 1:01:19 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 11.3864 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0927 loss: 1.0927 2022/06/28 22:01:06 - mmengine - INFO - Epoch(train) [97][1180/3757] lr: 1.000e-04 eta: 1:01:14 time: 0.226 data_time: 0.008 memory: 5148 grad_norm: 7.7739 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1996 loss: 1.1996 2022/06/28 22:01:12 - mmengine - INFO - Epoch(train) [97][1200/3757] lr: 1.000e-04 eta: 1:01:09 time: 0.227 data_time: 0.043 memory: 5148 grad_norm: 9.7888 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1894 loss: 1.1894 2022/06/28 22:01:18 - mmengine - INFO - Epoch(train) [97][1220/3757] lr: 1.000e-04 eta: 1:01:04 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 10.7889 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1731 loss: 1.1731 2022/06/28 22:01:22 - mmengine - INFO - Epoch(train) [97][1240/3757] lr: 1.000e-04 eta: 1:00:58 time: 0.219 data_time: 0.007 memory: 5148 grad_norm: 8.2121 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9493 loss: 0.9493 2022/06/28 22:01:28 - mmengine - INFO - Epoch(train) [97][1260/3757] lr: 1.000e-04 eta: 1:00:53 time: 0.221 data_time: 0.038 memory: 5148 grad_norm: 8.9414 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4218 loss: 1.4218 2022/06/28 22:01:33 - mmengine - INFO - Epoch(train) [97][1280/3757] lr: 1.000e-04 eta: 1:00:48 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 9.0551 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0928 loss: 1.0928 2022/06/28 22:01:38 - mmengine - INFO - Epoch(train) [97][1300/3757] lr: 1.000e-04 eta: 1:00:42 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 8.9098 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2446 loss: 1.2446 2022/06/28 22:01:44 - mmengine - INFO - Epoch(train) [97][1320/3757] lr: 1.000e-04 eta: 1:00:37 time: 0.206 data_time: 0.026 memory: 5148 grad_norm: 9.4455 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2888 loss: 1.2888 2022/06/28 22:01:46 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 22:01:50 - mmengine - INFO - Epoch(train) [97][1340/3757] lr: 1.000e-04 eta: 1:00:32 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 11.5532 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2338 loss: 1.2338 2022/06/28 22:01:55 - mmengine - INFO - Epoch(train) [97][1360/3757] lr: 1.000e-04 eta: 1:00:26 time: 0.236 data_time: 0.008 memory: 5148 grad_norm: 9.0378 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0422 loss: 1.0422 2022/06/28 22:02:00 - mmengine - INFO - Epoch(train) [97][1380/3757] lr: 1.000e-04 eta: 1:00:21 time: 0.209 data_time: 0.029 memory: 5148 grad_norm: 10.9076 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9003 loss: 0.9003 2022/06/28 22:02:05 - mmengine - INFO - Epoch(train) [97][1400/3757] lr: 1.000e-04 eta: 1:00:16 time: 0.212 data_time: 0.014 memory: 5148 grad_norm: 9.8741 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8959 loss: 1.8959 2022/06/28 22:02:10 - mmengine - INFO - Epoch(train) [97][1420/3757] lr: 1.000e-04 eta: 1:00:10 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 9.7963 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1329 loss: 1.1329 2022/06/28 22:02:16 - mmengine - INFO - Epoch(train) [97][1440/3757] lr: 1.000e-04 eta: 1:00:05 time: 0.210 data_time: 0.025 memory: 5148 grad_norm: 11.0290 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3260 loss: 1.3260 2022/06/28 22:02:21 - mmengine - INFO - Epoch(train) [97][1460/3757] lr: 1.000e-04 eta: 1:00:00 time: 0.212 data_time: 0.018 memory: 5148 grad_norm: 9.3945 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2759 loss: 1.2759 2022/06/28 22:02:26 - mmengine - INFO - Epoch(train) [97][1480/3757] lr: 1.000e-04 eta: 0:59:54 time: 0.207 data_time: 0.011 memory: 5148 grad_norm: 9.8159 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9434 loss: 0.9434 2022/06/28 22:02:31 - mmengine - INFO - Epoch(train) [97][1500/3757] lr: 1.000e-04 eta: 0:59:49 time: 0.215 data_time: 0.030 memory: 5148 grad_norm: 10.6806 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4007 loss: 1.4007 2022/06/28 22:02:37 - mmengine - INFO - Epoch(train) [97][1520/3757] lr: 1.000e-04 eta: 0:59:44 time: 0.223 data_time: 0.028 memory: 5148 grad_norm: 9.5838 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2970 loss: 1.2970 2022/06/28 22:02:41 - mmengine - INFO - Epoch(train) [97][1540/3757] lr: 1.000e-04 eta: 0:59:39 time: 0.207 data_time: 0.017 memory: 5148 grad_norm: 10.4531 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8461 loss: 0.8461 2022/06/28 22:02:47 - mmengine - INFO - Epoch(train) [97][1560/3757] lr: 1.000e-04 eta: 0:59:33 time: 0.206 data_time: 0.021 memory: 5148 grad_norm: 11.7556 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7159 loss: 0.7159 2022/06/28 22:02:52 - mmengine - INFO - Epoch(train) [97][1580/3757] lr: 1.000e-04 eta: 0:59:28 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 8.2667 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1436 loss: 1.1436 2022/06/28 22:02:57 - mmengine - INFO - Epoch(train) [97][1600/3757] lr: 1.000e-04 eta: 0:59:23 time: 0.212 data_time: 0.015 memory: 5148 grad_norm: 10.2208 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2835 loss: 1.2835 2022/06/28 22:03:03 - mmengine - INFO - Epoch(train) [97][1620/3757] lr: 1.000e-04 eta: 0:59:17 time: 0.218 data_time: 0.029 memory: 5148 grad_norm: 10.3339 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1593 loss: 1.1593 2022/06/28 22:03:08 - mmengine - INFO - Epoch(train) [97][1640/3757] lr: 1.000e-04 eta: 0:59:12 time: 0.218 data_time: 0.014 memory: 5148 grad_norm: 11.0904 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9964 loss: 0.9964 2022/06/28 22:03:13 - mmengine - INFO - Epoch(train) [97][1660/3757] lr: 1.000e-04 eta: 0:59:07 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 9.4557 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6031 loss: 1.6031 2022/06/28 22:03:18 - mmengine - INFO - Epoch(train) [97][1680/3757] lr: 1.000e-04 eta: 0:59:01 time: 0.222 data_time: 0.027 memory: 5148 grad_norm: 8.1253 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0486 loss: 1.0486 2022/06/28 22:03:24 - mmengine - INFO - Epoch(train) [97][1700/3757] lr: 1.000e-04 eta: 0:58:56 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 8.3808 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0381 loss: 1.0381 2022/06/28 22:03:29 - mmengine - INFO - Epoch(train) [97][1720/3757] lr: 1.000e-04 eta: 0:58:51 time: 0.208 data_time: 0.013 memory: 5148 grad_norm: 8.4647 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9218 loss: 0.9218 2022/06/28 22:03:34 - mmengine - INFO - Epoch(train) [97][1740/3757] lr: 1.000e-04 eta: 0:58:45 time: 0.201 data_time: 0.019 memory: 5148 grad_norm: 7.7173 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0199 loss: 1.0199 2022/06/28 22:03:39 - mmengine - INFO - Epoch(train) [97][1760/3757] lr: 1.000e-04 eta: 0:58:40 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 10.1037 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9848 loss: 0.9848 2022/06/28 22:03:44 - mmengine - INFO - Epoch(train) [97][1780/3757] lr: 1.000e-04 eta: 0:58:35 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 8.3555 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0964 loss: 1.0964 2022/06/28 22:03:50 - mmengine - INFO - Epoch(train) [97][1800/3757] lr: 1.000e-04 eta: 0:58:30 time: 0.212 data_time: 0.023 memory: 5148 grad_norm: 9.4223 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5755 loss: 0.5755 2022/06/28 22:03:56 - mmengine - INFO - Epoch(train) [97][1820/3757] lr: 1.000e-04 eta: 0:58:24 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 9.0358 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9708 loss: 0.9708 2022/06/28 22:04:00 - mmengine - INFO - Epoch(train) [97][1840/3757] lr: 1.000e-04 eta: 0:58:19 time: 0.196 data_time: 0.012 memory: 5148 grad_norm: 11.7732 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2349 loss: 1.2349 2022/06/28 22:04:05 - mmengine - INFO - Epoch(train) [97][1860/3757] lr: 1.000e-04 eta: 0:58:14 time: 0.211 data_time: 0.027 memory: 5148 grad_norm: 10.3861 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2508 loss: 1.2508 2022/06/28 22:04:11 - mmengine - INFO - Epoch(train) [97][1880/3757] lr: 1.000e-04 eta: 0:58:08 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 7.7958 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8498 loss: 0.8498 2022/06/28 22:04:16 - mmengine - INFO - Epoch(train) [97][1900/3757] lr: 1.000e-04 eta: 0:58:03 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 8.3358 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3644 loss: 1.3644 2022/06/28 22:04:21 - mmengine - INFO - Epoch(train) [97][1920/3757] lr: 1.000e-04 eta: 0:57:58 time: 0.215 data_time: 0.020 memory: 5148 grad_norm: 7.8948 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2019 loss: 1.2019 2022/06/28 22:04:26 - mmengine - INFO - Epoch(train) [97][1940/3757] lr: 1.000e-04 eta: 0:57:52 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 9.1427 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8738 loss: 0.8738 2022/06/28 22:04:31 - mmengine - INFO - Epoch(train) [97][1960/3757] lr: 1.000e-04 eta: 0:57:47 time: 0.215 data_time: 0.009 memory: 5148 grad_norm: 7.8957 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1974 loss: 1.1974 2022/06/28 22:04:37 - mmengine - INFO - Epoch(train) [97][1980/3757] lr: 1.000e-04 eta: 0:57:42 time: 0.261 data_time: 0.031 memory: 5148 grad_norm: 9.8621 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0864 loss: 1.0864 2022/06/28 22:04:42 - mmengine - INFO - Epoch(train) [97][2000/3757] lr: 1.000e-04 eta: 0:57:36 time: 0.211 data_time: 0.014 memory: 5148 grad_norm: 10.2968 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2087 loss: 1.2087 2022/06/28 22:04:48 - mmengine - INFO - Epoch(train) [97][2020/3757] lr: 1.000e-04 eta: 0:57:31 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 10.4691 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1902 loss: 1.1902 2022/06/28 22:04:53 - mmengine - INFO - Epoch(train) [97][2040/3757] lr: 1.000e-04 eta: 0:57:26 time: 0.219 data_time: 0.022 memory: 5148 grad_norm: 7.7695 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3784 loss: 1.3784 2022/06/28 22:04:58 - mmengine - INFO - Epoch(train) [97][2060/3757] lr: 1.000e-04 eta: 0:57:20 time: 0.229 data_time: 0.013 memory: 5148 grad_norm: 9.3380 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0649 loss: 1.0649 2022/06/28 22:05:03 - mmengine - INFO - Epoch(train) [97][2080/3757] lr: 1.000e-04 eta: 0:57:15 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 10.6887 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9520 loss: 0.9520 2022/06/28 22:05:09 - mmengine - INFO - Epoch(train) [97][2100/3757] lr: 1.000e-04 eta: 0:57:10 time: 0.211 data_time: 0.018 memory: 5148 grad_norm: 9.7136 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8362 loss: 0.8362 2022/06/28 22:05:14 - mmengine - INFO - Epoch(train) [97][2120/3757] lr: 1.000e-04 eta: 0:57:05 time: 0.207 data_time: 0.012 memory: 5148 grad_norm: 9.4467 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9031 loss: 0.9031 2022/06/28 22:05:20 - mmengine - INFO - Epoch(train) [97][2140/3757] lr: 1.000e-04 eta: 0:56:59 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 8.0601 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1843 loss: 1.1843 2022/06/28 22:05:25 - mmengine - INFO - Epoch(train) [97][2160/3757] lr: 1.000e-04 eta: 0:56:54 time: 0.197 data_time: 0.016 memory: 5148 grad_norm: 13.0591 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8202 loss: 0.8202 2022/06/28 22:05:30 - mmengine - INFO - Epoch(train) [97][2180/3757] lr: 1.000e-04 eta: 0:56:49 time: 0.209 data_time: 0.019 memory: 5148 grad_norm: 9.4146 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1923 loss: 1.1923 2022/06/28 22:05:35 - mmengine - INFO - Epoch(train) [97][2200/3757] lr: 1.000e-04 eta: 0:56:43 time: 0.198 data_time: 0.013 memory: 5148 grad_norm: 9.7777 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0800 loss: 1.0800 2022/06/28 22:05:40 - mmengine - INFO - Epoch(train) [97][2220/3757] lr: 1.000e-04 eta: 0:56:38 time: 0.215 data_time: 0.008 memory: 5148 grad_norm: 8.2464 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1919 loss: 1.1919 2022/06/28 22:05:45 - mmengine - INFO - Epoch(train) [97][2240/3757] lr: 1.000e-04 eta: 0:56:33 time: 0.209 data_time: 0.029 memory: 5148 grad_norm: 8.3693 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2568 loss: 1.2568 2022/06/28 22:05:50 - mmengine - INFO - Epoch(train) [97][2260/3757] lr: 1.000e-04 eta: 0:56:27 time: 0.202 data_time: 0.013 memory: 5148 grad_norm: 8.3939 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1213 loss: 1.1213 2022/06/28 22:05:56 - mmengine - INFO - Epoch(train) [97][2280/3757] lr: 1.000e-04 eta: 0:56:22 time: 0.239 data_time: 0.008 memory: 5148 grad_norm: 8.4466 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0056 loss: 1.0056 2022/06/28 22:06:01 - mmengine - INFO - Epoch(train) [97][2300/3757] lr: 1.000e-04 eta: 0:56:17 time: 0.426 data_time: 0.186 memory: 5148 grad_norm: 9.3605 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0449 loss: 1.0449 2022/06/28 22:06:06 - mmengine - INFO - Epoch(train) [97][2320/3757] lr: 1.000e-04 eta: 0:56:11 time: 0.205 data_time: 0.009 memory: 5148 grad_norm: 7.7475 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3797 loss: 1.3797 2022/06/28 22:06:09 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 22:06:12 - mmengine - INFO - Epoch(train) [97][2340/3757] lr: 1.000e-04 eta: 0:56:06 time: 0.206 data_time: 0.006 memory: 5148 grad_norm: 10.0188 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9020 loss: 0.9020 2022/06/28 22:06:18 - mmengine - INFO - Epoch(train) [97][2360/3757] lr: 1.000e-04 eta: 0:56:01 time: 0.768 data_time: 0.586 memory: 5148 grad_norm: 9.0793 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3559 loss: 1.3559 2022/06/28 22:06:23 - mmengine - INFO - Epoch(train) [97][2380/3757] lr: 1.000e-04 eta: 0:55:56 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 9.1335 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1356 loss: 1.1356 2022/06/28 22:06:29 - mmengine - INFO - Epoch(train) [97][2400/3757] lr: 1.000e-04 eta: 0:55:50 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 9.3735 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1617 loss: 1.1617 2022/06/28 22:06:34 - mmengine - INFO - Epoch(train) [97][2420/3757] lr: 1.000e-04 eta: 0:55:45 time: 0.986 data_time: 0.801 memory: 5148 grad_norm: 9.0198 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9443 loss: 0.9443 2022/06/28 22:06:39 - mmengine - INFO - Epoch(train) [97][2440/3757] lr: 1.000e-04 eta: 0:55:40 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 9.9597 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0123 loss: 1.0123 2022/06/28 22:06:44 - mmengine - INFO - Epoch(train) [97][2460/3757] lr: 1.000e-04 eta: 0:55:34 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 7.1695 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8976 loss: 0.8976 2022/06/28 22:06:50 - mmengine - INFO - Epoch(train) [97][2480/3757] lr: 1.000e-04 eta: 0:55:29 time: 0.214 data_time: 0.038 memory: 5148 grad_norm: 9.6046 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1574 loss: 1.1574 2022/06/28 22:06:55 - mmengine - INFO - Epoch(train) [97][2500/3757] lr: 1.000e-04 eta: 0:55:24 time: 0.207 data_time: 0.009 memory: 5148 grad_norm: 7.1390 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9321 loss: 0.9321 2022/06/28 22:07:00 - mmengine - INFO - Epoch(train) [97][2520/3757] lr: 1.000e-04 eta: 0:55:18 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 9.4458 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4338 loss: 1.4338 2022/06/28 22:07:06 - mmengine - INFO - Epoch(train) [97][2540/3757] lr: 1.000e-04 eta: 0:55:13 time: 0.497 data_time: 0.310 memory: 5148 grad_norm: 8.2445 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9418 loss: 0.9418 2022/06/28 22:07:11 - mmengine - INFO - Epoch(train) [97][2560/3757] lr: 1.000e-04 eta: 0:55:08 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 9.0118 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0514 loss: 1.0514 2022/06/28 22:07:16 - mmengine - INFO - Epoch(train) [97][2580/3757] lr: 1.000e-04 eta: 0:55:02 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 9.6253 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3133 loss: 1.3133 2022/06/28 22:07:22 - mmengine - INFO - Epoch(train) [97][2600/3757] lr: 1.000e-04 eta: 0:54:57 time: 0.221 data_time: 0.043 memory: 5148 grad_norm: 10.5927 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8860 loss: 0.8860 2022/06/28 22:07:27 - mmengine - INFO - Epoch(train) [97][2620/3757] lr: 1.000e-04 eta: 0:54:52 time: 0.211 data_time: 0.022 memory: 5148 grad_norm: 9.3259 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4389 loss: 1.4389 2022/06/28 22:07:32 - mmengine - INFO - Epoch(train) [97][2640/3757] lr: 1.000e-04 eta: 0:54:47 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 8.6347 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0894 loss: 1.0894 2022/06/28 22:07:38 - mmengine - INFO - Epoch(train) [97][2660/3757] lr: 1.000e-04 eta: 0:54:41 time: 0.215 data_time: 0.034 memory: 5148 grad_norm: 7.8481 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7115 loss: 0.7115 2022/06/28 22:07:43 - mmengine - INFO - Epoch(train) [97][2680/3757] lr: 1.000e-04 eta: 0:54:36 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 9.1314 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3496 loss: 1.3496 2022/06/28 22:07:48 - mmengine - INFO - Epoch(train) [97][2700/3757] lr: 1.000e-04 eta: 0:54:31 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 9.7299 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5687 loss: 1.5687 2022/06/28 22:07:54 - mmengine - INFO - Epoch(train) [97][2720/3757] lr: 1.000e-04 eta: 0:54:25 time: 0.210 data_time: 0.028 memory: 5148 grad_norm: 10.1523 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.0792 loss: 1.0792 2022/06/28 22:07:59 - mmengine - INFO - Epoch(train) [97][2740/3757] lr: 1.000e-04 eta: 0:54:20 time: 0.198 data_time: 0.012 memory: 5148 grad_norm: 7.5336 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3300 loss: 1.3300 2022/06/28 22:08:04 - mmengine - INFO - Epoch(train) [97][2760/3757] lr: 1.000e-04 eta: 0:54:15 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 8.6033 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1174 loss: 1.1174 2022/06/28 22:08:10 - mmengine - INFO - Epoch(train) [97][2780/3757] lr: 1.000e-04 eta: 0:54:09 time: 0.205 data_time: 0.027 memory: 5148 grad_norm: 10.4744 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3042 loss: 1.3042 2022/06/28 22:08:15 - mmengine - INFO - Epoch(train) [97][2800/3757] lr: 1.000e-04 eta: 0:54:04 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 9.8160 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1911 loss: 1.1911 2022/06/28 22:08:20 - mmengine - INFO - Epoch(train) [97][2820/3757] lr: 1.000e-04 eta: 0:53:59 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 11.2752 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3510 loss: 1.3510 2022/06/28 22:08:26 - mmengine - INFO - Epoch(train) [97][2840/3757] lr: 1.000e-04 eta: 0:53:54 time: 0.208 data_time: 0.023 memory: 5148 grad_norm: 8.7457 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0423 loss: 1.0423 2022/06/28 22:08:31 - mmengine - INFO - Epoch(train) [97][2860/3757] lr: 1.000e-04 eta: 0:53:48 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 9.9797 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2905 loss: 1.2905 2022/06/28 22:08:36 - mmengine - INFO - Epoch(train) [97][2880/3757] lr: 1.000e-04 eta: 0:53:43 time: 0.209 data_time: 0.012 memory: 5148 grad_norm: 9.3384 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3848 loss: 1.3848 2022/06/28 22:08:42 - mmengine - INFO - Epoch(train) [97][2900/3757] lr: 1.000e-04 eta: 0:53:38 time: 0.215 data_time: 0.027 memory: 5148 grad_norm: 11.1382 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1676 loss: 1.1676 2022/06/28 22:08:47 - mmengine - INFO - Epoch(train) [97][2920/3757] lr: 1.000e-04 eta: 0:53:32 time: 0.249 data_time: 0.071 memory: 5148 grad_norm: 8.5694 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0509 loss: 1.0509 2022/06/28 22:08:52 - mmengine - INFO - Epoch(train) [97][2940/3757] lr: 1.000e-04 eta: 0:53:27 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 9.1676 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8777 loss: 0.8777 2022/06/28 22:08:58 - mmengine - INFO - Epoch(train) [97][2960/3757] lr: 1.000e-04 eta: 0:53:22 time: 0.212 data_time: 0.019 memory: 5148 grad_norm: 9.6984 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1365 loss: 1.1365 2022/06/28 22:09:03 - mmengine - INFO - Epoch(train) [97][2980/3757] lr: 1.000e-04 eta: 0:53:16 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 10.1062 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1523 loss: 1.1523 2022/06/28 22:09:08 - mmengine - INFO - Epoch(train) [97][3000/3757] lr: 1.000e-04 eta: 0:53:11 time: 0.197 data_time: 0.011 memory: 5148 grad_norm: 9.0774 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9469 loss: 0.9469 2022/06/28 22:09:13 - mmengine - INFO - Epoch(train) [97][3020/3757] lr: 1.000e-04 eta: 0:53:06 time: 0.202 data_time: 0.016 memory: 5148 grad_norm: 9.6769 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2062 loss: 1.2062 2022/06/28 22:09:18 - mmengine - INFO - Epoch(train) [97][3040/3757] lr: 1.000e-04 eta: 0:53:00 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 10.4849 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1832 loss: 1.1832 2022/06/28 22:09:24 - mmengine - INFO - Epoch(train) [97][3060/3757] lr: 1.000e-04 eta: 0:52:55 time: 0.218 data_time: 0.007 memory: 5148 grad_norm: 8.8695 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0881 loss: 1.0881 2022/06/28 22:09:30 - mmengine - INFO - Epoch(train) [97][3080/3757] lr: 1.000e-04 eta: 0:52:50 time: 0.203 data_time: 0.019 memory: 5148 grad_norm: 9.0065 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9281 loss: 0.9281 2022/06/28 22:09:35 - mmengine - INFO - Epoch(train) [97][3100/3757] lr: 1.000e-04 eta: 0:52:45 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 9.4524 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.8018 loss: 0.8018 2022/06/28 22:09:40 - mmengine - INFO - Epoch(train) [97][3120/3757] lr: 1.000e-04 eta: 0:52:39 time: 0.206 data_time: 0.015 memory: 5148 grad_norm: 9.2952 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1371 loss: 1.1371 2022/06/28 22:09:46 - mmengine - INFO - Epoch(train) [97][3140/3757] lr: 1.000e-04 eta: 0:52:34 time: 0.199 data_time: 0.012 memory: 5148 grad_norm: 10.3292 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1231 loss: 1.1231 2022/06/28 22:09:51 - mmengine - INFO - Epoch(train) [97][3160/3757] lr: 1.000e-04 eta: 0:52:29 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 8.2597 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1738 loss: 1.1738 2022/06/28 22:09:56 - mmengine - INFO - Epoch(train) [97][3180/3757] lr: 1.000e-04 eta: 0:52:23 time: 0.215 data_time: 0.016 memory: 5148 grad_norm: 8.4655 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2636 loss: 1.2636 2022/06/28 22:10:01 - mmengine - INFO - Epoch(train) [97][3200/3757] lr: 1.000e-04 eta: 0:52:18 time: 0.197 data_time: 0.013 memory: 5148 grad_norm: 8.3240 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9407 loss: 0.9407 2022/06/28 22:10:06 - mmengine - INFO - Epoch(train) [97][3220/3757] lr: 1.000e-04 eta: 0:52:13 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 9.9476 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8611 loss: 0.8611 2022/06/28 22:10:12 - mmengine - INFO - Epoch(train) [97][3240/3757] lr: 1.000e-04 eta: 0:52:07 time: 0.210 data_time: 0.010 memory: 5148 grad_norm: 10.2783 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8401 loss: 0.8401 2022/06/28 22:10:17 - mmengine - INFO - Epoch(train) [97][3260/3757] lr: 1.000e-04 eta: 0:52:02 time: 0.240 data_time: 0.010 memory: 5148 grad_norm: 9.2665 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3223 loss: 1.3223 2022/06/28 22:10:23 - mmengine - INFO - Epoch(train) [97][3280/3757] lr: 1.000e-04 eta: 0:51:57 time: 0.211 data_time: 0.006 memory: 5148 grad_norm: 7.0511 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3526 loss: 1.3526 2022/06/28 22:10:28 - mmengine - INFO - Epoch(train) [97][3300/3757] lr: 1.000e-04 eta: 0:51:51 time: 0.205 data_time: 0.016 memory: 5148 grad_norm: 8.7539 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8584 loss: 0.8584 2022/06/28 22:10:33 - mmengine - INFO - Epoch(train) [97][3320/3757] lr: 1.000e-04 eta: 0:51:46 time: 0.203 data_time: 0.013 memory: 5148 grad_norm: 8.1314 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1838 loss: 1.1838 2022/06/28 22:10:36 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 22:10:39 - mmengine - INFO - Epoch(train) [97][3340/3757] lr: 1.000e-04 eta: 0:51:41 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 10.5097 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8960 loss: 0.8960 2022/06/28 22:10:44 - mmengine - INFO - Epoch(train) [97][3360/3757] lr: 1.000e-04 eta: 0:51:36 time: 0.218 data_time: 0.013 memory: 5148 grad_norm: 11.0059 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2739 loss: 1.2739 2022/06/28 22:10:49 - mmengine - INFO - Epoch(train) [97][3380/3757] lr: 1.000e-04 eta: 0:51:30 time: 0.216 data_time: 0.008 memory: 5148 grad_norm: 10.0308 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5682 loss: 1.5682 2022/06/28 22:10:55 - mmengine - INFO - Epoch(train) [97][3400/3757] lr: 1.000e-04 eta: 0:51:25 time: 0.203 data_time: 0.017 memory: 5148 grad_norm: 10.0254 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9504 loss: 0.9504 2022/06/28 22:11:00 - mmengine - INFO - Epoch(train) [97][3420/3757] lr: 1.000e-04 eta: 0:51:20 time: 0.207 data_time: 0.012 memory: 5148 grad_norm: 8.7511 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5968 loss: 1.5968 2022/06/28 22:11:05 - mmengine - INFO - Epoch(train) [97][3440/3757] lr: 1.000e-04 eta: 0:51:14 time: 0.212 data_time: 0.008 memory: 5148 grad_norm: 10.6964 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3308 loss: 1.3308 2022/06/28 22:11:10 - mmengine - INFO - Epoch(train) [97][3460/3757] lr: 1.000e-04 eta: 0:51:09 time: 0.207 data_time: 0.020 memory: 5148 grad_norm: 8.7855 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1319 loss: 1.1319 2022/06/28 22:11:16 - mmengine - INFO - Epoch(train) [97][3480/3757] lr: 1.000e-04 eta: 0:51:04 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 9.5174 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2080 loss: 1.2080 2022/06/28 22:11:21 - mmengine - INFO - Epoch(train) [97][3500/3757] lr: 1.000e-04 eta: 0:50:58 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 12.8668 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3880 loss: 1.3880 2022/06/28 22:11:26 - mmengine - INFO - Epoch(train) [97][3520/3757] lr: 1.000e-04 eta: 0:50:53 time: 0.229 data_time: 0.032 memory: 5148 grad_norm: 7.9603 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0981 loss: 1.0981 2022/06/28 22:11:32 - mmengine - INFO - Epoch(train) [97][3540/3757] lr: 1.000e-04 eta: 0:50:48 time: 0.206 data_time: 0.012 memory: 5148 grad_norm: 8.7837 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2913 loss: 1.2913 2022/06/28 22:11:37 - mmengine - INFO - Epoch(train) [97][3560/3757] lr: 1.000e-04 eta: 0:50:42 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 9.7098 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3950 loss: 1.3950 2022/06/28 22:11:42 - mmengine - INFO - Epoch(train) [97][3580/3757] lr: 1.000e-04 eta: 0:50:37 time: 0.207 data_time: 0.022 memory: 5148 grad_norm: 9.6112 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0286 loss: 1.0286 2022/06/28 22:11:47 - mmengine - INFO - Epoch(train) [97][3600/3757] lr: 1.000e-04 eta: 0:50:32 time: 0.222 data_time: 0.007 memory: 5148 grad_norm: 9.1812 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3257 loss: 1.3257 2022/06/28 22:11:52 - mmengine - INFO - Epoch(train) [97][3620/3757] lr: 1.000e-04 eta: 0:50:27 time: 0.221 data_time: 0.007 memory: 5148 grad_norm: 9.9928 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2552 loss: 1.2552 2022/06/28 22:11:57 - mmengine - INFO - Epoch(train) [97][3640/3757] lr: 1.000e-04 eta: 0:50:21 time: 0.267 data_time: 0.040 memory: 5148 grad_norm: 10.0544 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4115 loss: 1.4115 2022/06/28 22:12:03 - mmengine - INFO - Epoch(train) [97][3660/3757] lr: 1.000e-04 eta: 0:50:16 time: 0.219 data_time: 0.007 memory: 5148 grad_norm: 9.5436 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2841 loss: 1.2841 2022/06/28 22:12:08 - mmengine - INFO - Epoch(train) [97][3680/3757] lr: 1.000e-04 eta: 0:50:11 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 9.8284 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9642 loss: 0.9642 2022/06/28 22:12:13 - mmengine - INFO - Epoch(train) [97][3700/3757] lr: 1.000e-04 eta: 0:50:05 time: 0.212 data_time: 0.021 memory: 5148 grad_norm: 7.8484 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2812 loss: 1.2812 2022/06/28 22:12:19 - mmengine - INFO - Epoch(train) [97][3720/3757] lr: 1.000e-04 eta: 0:50:00 time: 0.220 data_time: 0.008 memory: 5148 grad_norm: 9.5234 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8456 loss: 0.8456 2022/06/28 22:12:24 - mmengine - INFO - Epoch(train) [97][3740/3757] lr: 1.000e-04 eta: 0:49:55 time: 0.210 data_time: 0.006 memory: 5148 grad_norm: 8.9043 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2003 loss: 1.2003 2022/06/28 22:12:27 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 22:12:34 - mmengine - INFO - Epoch(val) [97][20/310] eta: 0:01:06 time: 0.092 data_time: 0.017 memory: 5148 2022/06/28 22:12:39 - mmengine - INFO - Epoch(val) [97][40/310] eta: 0:01:03 time: 0.080 data_time: 0.009 memory: 1367 2022/06/28 22:12:44 - mmengine - INFO - Epoch(val) [97][60/310] eta: 0:00:55 time: 0.085 data_time: 0.008 memory: 1367 2022/06/28 22:12:49 - mmengine - INFO - Epoch(val) [97][80/310] eta: 0:00:58 time: 0.199 data_time: 0.127 memory: 1367 2022/06/28 22:12:55 - mmengine - INFO - Epoch(val) [97][100/310] eta: 0:00:49 time: 0.093 data_time: 0.013 memory: 1367 2022/06/28 22:13:00 - mmengine - INFO - Epoch(val) [97][120/310] eta: 0:00:46 time: 0.234 data_time: 0.163 memory: 1367 2022/06/28 22:13:06 - mmengine - INFO - Epoch(val) [97][140/310] eta: 0:00:50 time: 0.792 data_time: 0.720 memory: 1367 2022/06/28 22:13:10 - mmengine - INFO - Epoch(val) [97][160/310] eta: 0:00:34 time: 0.130 data_time: 0.058 memory: 1367 2022/06/28 22:13:17 - mmengine - INFO - Epoch(val) [97][180/310] eta: 0:00:51 time: 1.368 data_time: 1.291 memory: 1367 2022/06/28 22:13:21 - mmengine - INFO - Epoch(val) [97][200/310] eta: 0:00:26 time: 0.083 data_time: 0.008 memory: 1367 2022/06/28 22:13:27 - mmengine - INFO - Epoch(val) [97][220/310] eta: 0:00:32 time: 0.810 data_time: 0.733 memory: 1367 2022/06/28 22:13:32 - mmengine - INFO - Epoch(val) [97][240/310] eta: 0:00:15 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 22:13:38 - mmengine - INFO - Epoch(val) [97][260/310] eta: 0:00:18 time: 0.999 data_time: 0.927 memory: 1367 2022/06/28 22:13:42 - mmengine - INFO - Epoch(val) [97][280/310] eta: 0:00:06 time: 0.088 data_time: 0.008 memory: 1367 2022/06/28 22:13:47 - mmengine - INFO - Epoch(val) [97][300/310] eta: 0:00:03 time: 0.351 data_time: 0.277 memory: 1367 2022/06/28 22:13:50 - mmengine - INFO - Epoch(val) [97][310/310] acc/top1: 0.6615 acc/top5: 0.8642 acc/mean1: 0.6615 2022/06/28 22:13:58 - mmengine - INFO - Epoch(train) [98][20/3757] lr: 1.000e-04 eta: 0:49:45 time: 0.196 data_time: 0.009 memory: 5148 grad_norm: 10.1564 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9646 loss: 0.9646 2022/06/28 22:14:04 - mmengine - INFO - Epoch(train) [98][40/3757] lr: 1.000e-04 eta: 0:49:40 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 10.3735 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3464 loss: 1.3464 2022/06/28 22:14:09 - mmengine - INFO - Epoch(train) [98][60/3757] lr: 1.000e-04 eta: 0:49:34 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 10.0063 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3205 loss: 1.3205 2022/06/28 22:14:15 - mmengine - INFO - Epoch(train) [98][80/3757] lr: 1.000e-04 eta: 0:49:29 time: 0.202 data_time: 0.009 memory: 5148 grad_norm: 8.0814 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2396 loss: 1.2396 2022/06/28 22:14:20 - mmengine - INFO - Epoch(train) [98][100/3757] lr: 1.000e-04 eta: 0:49:24 time: 0.219 data_time: 0.009 memory: 5148 grad_norm: 9.7878 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1297 loss: 1.1297 2022/06/28 22:14:25 - mmengine - INFO - Epoch(train) [98][120/3757] lr: 1.000e-04 eta: 0:49:18 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 7.5915 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8614 loss: 0.8614 2022/06/28 22:14:30 - mmengine - INFO - Epoch(train) [98][140/3757] lr: 1.000e-04 eta: 0:49:13 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 8.8369 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0036 loss: 1.0036 2022/06/28 22:14:36 - mmengine - INFO - Epoch(train) [98][160/3757] lr: 1.000e-04 eta: 0:49:08 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 8.4795 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1471 loss: 1.1471 2022/06/28 22:14:41 - mmengine - INFO - Epoch(train) [98][180/3757] lr: 1.000e-04 eta: 0:49:02 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 7.9478 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8834 loss: 0.8834 2022/06/28 22:14:46 - mmengine - INFO - Epoch(train) [98][200/3757] lr: 1.000e-04 eta: 0:48:57 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 8.2329 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1574 loss: 1.1574 2022/06/28 22:14:52 - mmengine - INFO - Epoch(train) [98][220/3757] lr: 1.000e-04 eta: 0:48:52 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 8.3313 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6091 loss: 1.6091 2022/06/28 22:14:57 - mmengine - INFO - Epoch(train) [98][240/3757] lr: 1.000e-04 eta: 0:48:46 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 7.9149 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7595 loss: 0.7595 2022/06/28 22:15:02 - mmengine - INFO - Epoch(train) [98][260/3757] lr: 1.000e-04 eta: 0:48:41 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 8.3814 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3824 loss: 1.3824 2022/06/28 22:15:08 - mmengine - INFO - Epoch(train) [98][280/3757] lr: 1.000e-04 eta: 0:48:36 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 10.9023 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0613 loss: 1.0613 2022/06/28 22:15:13 - mmengine - INFO - Epoch(train) [98][300/3757] lr: 1.000e-04 eta: 0:48:31 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 12.0603 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2238 loss: 1.2238 2022/06/28 22:15:18 - mmengine - INFO - Epoch(train) [98][320/3757] lr: 1.000e-04 eta: 0:48:25 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 10.3889 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9972 loss: 0.9972 2022/06/28 22:15:23 - mmengine - INFO - Epoch(train) [98][340/3757] lr: 1.000e-04 eta: 0:48:20 time: 0.200 data_time: 0.009 memory: 5148 grad_norm: 9.3646 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1681 loss: 1.1681 2022/06/28 22:15:29 - mmengine - INFO - Epoch(train) [98][360/3757] lr: 1.000e-04 eta: 0:48:15 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 9.8083 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1382 loss: 1.1382 2022/06/28 22:15:34 - mmengine - INFO - Epoch(train) [98][380/3757] lr: 1.000e-04 eta: 0:48:09 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 7.7521 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0390 loss: 1.0390 2022/06/28 22:15:39 - mmengine - INFO - Epoch(train) [98][400/3757] lr: 1.000e-04 eta: 0:48:04 time: 0.221 data_time: 0.009 memory: 5148 grad_norm: 8.8783 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1878 loss: 1.1878 2022/06/28 22:15:44 - mmengine - INFO - Epoch(train) [98][420/3757] lr: 1.000e-04 eta: 0:47:59 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 9.8860 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1644 loss: 1.1644 2022/06/28 22:15:50 - mmengine - INFO - Epoch(train) [98][440/3757] lr: 1.000e-04 eta: 0:47:53 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 9.4229 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4007 loss: 1.4007 2022/06/28 22:15:55 - mmengine - INFO - Epoch(train) [98][460/3757] lr: 1.000e-04 eta: 0:47:48 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 9.1134 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0244 loss: 1.0244 2022/06/28 22:16:00 - mmengine - INFO - Epoch(train) [98][480/3757] lr: 1.000e-04 eta: 0:47:43 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 9.0289 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8670 loss: 0.8670 2022/06/28 22:16:05 - mmengine - INFO - Epoch(train) [98][500/3757] lr: 1.000e-04 eta: 0:47:37 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 9.4433 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2382 loss: 1.2382 2022/06/28 22:16:11 - mmengine - INFO - Epoch(train) [98][520/3757] lr: 1.000e-04 eta: 0:47:32 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 11.2704 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1484 loss: 1.1484 2022/06/28 22:16:16 - mmengine - INFO - Epoch(train) [98][540/3757] lr: 1.000e-04 eta: 0:47:27 time: 0.209 data_time: 0.013 memory: 5148 grad_norm: 9.8093 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1947 loss: 1.1947 2022/06/28 22:16:21 - mmengine - INFO - Epoch(train) [98][560/3757] lr: 1.000e-04 eta: 0:47:22 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 10.1643 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0684 loss: 1.0684 2022/06/28 22:16:24 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 22:16:27 - mmengine - INFO - Epoch(train) [98][580/3757] lr: 1.000e-04 eta: 0:47:16 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 10.2137 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1316 loss: 1.1316 2022/06/28 22:16:31 - mmengine - INFO - Epoch(train) [98][600/3757] lr: 1.000e-04 eta: 0:47:11 time: 0.212 data_time: 0.011 memory: 5148 grad_norm: 9.1746 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9939 loss: 0.9939 2022/06/28 22:16:37 - mmengine - INFO - Epoch(train) [98][620/3757] lr: 1.000e-04 eta: 0:47:06 time: 0.198 data_time: 0.009 memory: 5148 grad_norm: 9.8734 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9333 loss: 0.9333 2022/06/28 22:16:43 - mmengine - INFO - Epoch(train) [98][640/3757] lr: 1.000e-04 eta: 0:47:00 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 9.4697 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4296 loss: 1.4296 2022/06/28 22:16:47 - mmengine - INFO - Epoch(train) [98][660/3757] lr: 1.000e-04 eta: 0:46:55 time: 0.229 data_time: 0.011 memory: 5148 grad_norm: 10.1017 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0118 loss: 1.0118 2022/06/28 22:16:53 - mmengine - INFO - Epoch(train) [98][680/3757] lr: 1.000e-04 eta: 0:46:50 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 9.6903 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1065 loss: 1.1065 2022/06/28 22:16:58 - mmengine - INFO - Epoch(train) [98][700/3757] lr: 1.000e-04 eta: 0:46:44 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 10.3836 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8570 loss: 0.8570 2022/06/28 22:17:03 - mmengine - INFO - Epoch(train) [98][720/3757] lr: 1.000e-04 eta: 0:46:39 time: 0.207 data_time: 0.009 memory: 5148 grad_norm: 9.1010 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9475 loss: 0.9475 2022/06/28 22:17:09 - mmengine - INFO - Epoch(train) [98][740/3757] lr: 1.000e-04 eta: 0:46:34 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 11.3343 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1489 loss: 1.1489 2022/06/28 22:17:14 - mmengine - INFO - Epoch(train) [98][760/3757] lr: 1.000e-04 eta: 0:46:28 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 7.9986 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4895 loss: 1.4895 2022/06/28 22:17:19 - mmengine - INFO - Epoch(train) [98][780/3757] lr: 1.000e-04 eta: 0:46:23 time: 0.214 data_time: 0.012 memory: 5148 grad_norm: 9.5597 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1890 loss: 1.1890 2022/06/28 22:17:24 - mmengine - INFO - Epoch(train) [98][800/3757] lr: 1.000e-04 eta: 0:46:18 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 10.3649 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0926 loss: 1.0926 2022/06/28 22:17:30 - mmengine - INFO - Epoch(train) [98][820/3757] lr: 1.000e-04 eta: 0:46:13 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 9.3799 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1074 loss: 1.1074 2022/06/28 22:17:34 - mmengine - INFO - Epoch(train) [98][840/3757] lr: 1.000e-04 eta: 0:46:07 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 7.5533 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0447 loss: 1.0447 2022/06/28 22:17:40 - mmengine - INFO - Epoch(train) [98][860/3757] lr: 1.000e-04 eta: 0:46:02 time: 0.203 data_time: 0.013 memory: 5148 grad_norm: 9.8808 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3423 loss: 1.3423 2022/06/28 22:17:45 - mmengine - INFO - Epoch(train) [98][880/3757] lr: 1.000e-04 eta: 0:45:57 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 11.1203 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2827 loss: 1.2827 2022/06/28 22:17:50 - mmengine - INFO - Epoch(train) [98][900/3757] lr: 1.000e-04 eta: 0:45:51 time: 0.212 data_time: 0.011 memory: 5148 grad_norm: 8.7915 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9401 loss: 0.9401 2022/06/28 22:17:55 - mmengine - INFO - Epoch(train) [98][920/3757] lr: 1.000e-04 eta: 0:45:46 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 10.5856 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0010 loss: 1.0010 2022/06/28 22:18:01 - mmengine - INFO - Epoch(train) [98][940/3757] lr: 1.000e-04 eta: 0:45:41 time: 0.223 data_time: 0.017 memory: 5148 grad_norm: 9.8223 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9758 loss: 0.9758 2022/06/28 22:18:06 - mmengine - INFO - Epoch(train) [98][960/3757] lr: 1.000e-04 eta: 0:45:35 time: 0.204 data_time: 0.018 memory: 5148 grad_norm: 10.2247 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0307 loss: 1.0307 2022/06/28 22:18:12 - mmengine - INFO - Epoch(train) [98][980/3757] lr: 1.000e-04 eta: 0:45:30 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 7.2142 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2249 loss: 1.2249 2022/06/28 22:18:17 - mmengine - INFO - Epoch(train) [98][1000/3757] lr: 1.000e-04 eta: 0:45:25 time: 0.200 data_time: 0.014 memory: 5148 grad_norm: 8.7231 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0709 loss: 1.0709 2022/06/28 22:18:22 - mmengine - INFO - Epoch(train) [98][1020/3757] lr: 1.000e-04 eta: 0:45:19 time: 0.208 data_time: 0.013 memory: 5148 grad_norm: 11.5752 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0466 loss: 1.0466 2022/06/28 22:18:27 - mmengine - INFO - Epoch(train) [98][1040/3757] lr: 1.000e-04 eta: 0:45:14 time: 0.199 data_time: 0.020 memory: 5148 grad_norm: 9.1033 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9645 loss: 0.9645 2022/06/28 22:18:33 - mmengine - INFO - Epoch(train) [98][1060/3757] lr: 1.000e-04 eta: 0:45:09 time: 0.214 data_time: 0.012 memory: 5148 grad_norm: 10.9295 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2784 loss: 1.2784 2022/06/28 22:18:38 - mmengine - INFO - Epoch(train) [98][1080/3757] lr: 1.000e-04 eta: 0:45:04 time: 0.220 data_time: 0.013 memory: 5148 grad_norm: 10.0357 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1596 loss: 1.1596 2022/06/28 22:18:43 - mmengine - INFO - Epoch(train) [98][1100/3757] lr: 1.000e-04 eta: 0:44:58 time: 0.202 data_time: 0.014 memory: 5148 grad_norm: 8.3853 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9831 loss: 0.9831 2022/06/28 22:18:49 - mmengine - INFO - Epoch(train) [98][1120/3757] lr: 1.000e-04 eta: 0:44:53 time: 0.195 data_time: 0.013 memory: 5148 grad_norm: 10.2268 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2243 loss: 1.2243 2022/06/28 22:18:54 - mmengine - INFO - Epoch(train) [98][1140/3757] lr: 1.000e-04 eta: 0:44:48 time: 0.212 data_time: 0.010 memory: 5148 grad_norm: 8.7524 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3179 loss: 1.3179 2022/06/28 22:18:59 - mmengine - INFO - Epoch(train) [98][1160/3757] lr: 1.000e-04 eta: 0:44:42 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 8.6918 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1102 loss: 1.1102 2022/06/28 22:19:05 - mmengine - INFO - Epoch(train) [98][1180/3757] lr: 1.000e-04 eta: 0:44:37 time: 0.200 data_time: 0.013 memory: 5148 grad_norm: 12.2347 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3403 loss: 1.3403 2022/06/28 22:19:09 - mmengine - INFO - Epoch(train) [98][1200/3757] lr: 1.000e-04 eta: 0:44:32 time: 0.209 data_time: 0.010 memory: 5148 grad_norm: 9.5282 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2994 loss: 1.2994 2022/06/28 22:19:15 - mmengine - INFO - Epoch(train) [98][1220/3757] lr: 1.000e-04 eta: 0:44:26 time: 0.201 data_time: 0.023 memory: 5148 grad_norm: 8.9224 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9423 loss: 0.9423 2022/06/28 22:19:21 - mmengine - INFO - Epoch(train) [98][1240/3757] lr: 1.000e-04 eta: 0:44:21 time: 0.209 data_time: 0.013 memory: 5148 grad_norm: 9.1542 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0200 loss: 1.0200 2022/06/28 22:19:25 - mmengine - INFO - Epoch(train) [98][1260/3757] lr: 1.000e-04 eta: 0:44:16 time: 0.226 data_time: 0.008 memory: 5148 grad_norm: 8.9933 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7795 loss: 0.7795 2022/06/28 22:19:31 - mmengine - INFO - Epoch(train) [98][1280/3757] lr: 1.000e-04 eta: 0:44:10 time: 0.205 data_time: 0.021 memory: 5148 grad_norm: 10.6067 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0549 loss: 1.0549 2022/06/28 22:19:37 - mmengine - INFO - Epoch(train) [98][1300/3757] lr: 1.000e-04 eta: 0:44:05 time: 0.196 data_time: 0.014 memory: 5148 grad_norm: 8.3289 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1877 loss: 1.1877 2022/06/28 22:19:42 - mmengine - INFO - Epoch(train) [98][1320/3757] lr: 1.000e-04 eta: 0:44:00 time: 0.196 data_time: 0.007 memory: 5148 grad_norm: 7.9517 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7990 loss: 0.7990 2022/06/28 22:19:47 - mmengine - INFO - Epoch(train) [98][1340/3757] lr: 1.000e-04 eta: 0:43:55 time: 0.196 data_time: 0.015 memory: 5148 grad_norm: 10.6006 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9416 loss: 0.9416 2022/06/28 22:19:53 - mmengine - INFO - Epoch(train) [98][1360/3757] lr: 1.000e-04 eta: 0:43:49 time: 0.199 data_time: 0.018 memory: 5148 grad_norm: 8.8987 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0330 loss: 1.0330 2022/06/28 22:19:58 - mmengine - INFO - Epoch(train) [98][1380/3757] lr: 1.000e-04 eta: 0:43:44 time: 0.199 data_time: 0.010 memory: 5148 grad_norm: 8.9165 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5878 loss: 1.5878 2022/06/28 22:20:03 - mmengine - INFO - Epoch(train) [98][1400/3757] lr: 1.000e-04 eta: 0:43:39 time: 0.214 data_time: 0.008 memory: 5148 grad_norm: 11.1198 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1539 loss: 1.1539 2022/06/28 22:20:09 - mmengine - INFO - Epoch(train) [98][1420/3757] lr: 1.000e-04 eta: 0:43:33 time: 0.201 data_time: 0.020 memory: 5148 grad_norm: 9.0932 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4840 loss: 1.4840 2022/06/28 22:20:14 - mmengine - INFO - Epoch(train) [98][1440/3757] lr: 1.000e-04 eta: 0:43:28 time: 0.214 data_time: 0.013 memory: 5148 grad_norm: 12.4542 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2348 loss: 1.2348 2022/06/28 22:20:19 - mmengine - INFO - Epoch(train) [98][1460/3757] lr: 1.000e-04 eta: 0:43:23 time: 0.194 data_time: 0.010 memory: 5148 grad_norm: 9.4047 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1604 loss: 1.1604 2022/06/28 22:20:25 - mmengine - INFO - Epoch(train) [98][1480/3757] lr: 1.000e-04 eta: 0:43:17 time: 0.213 data_time: 0.035 memory: 5148 grad_norm: 10.6866 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2525 loss: 1.2525 2022/06/28 22:20:30 - mmengine - INFO - Epoch(train) [98][1500/3757] lr: 1.000e-04 eta: 0:43:12 time: 0.214 data_time: 0.018 memory: 5148 grad_norm: 9.4847 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0832 loss: 1.0832 2022/06/28 22:20:36 - mmengine - INFO - Epoch(train) [98][1520/3757] lr: 1.000e-04 eta: 0:43:07 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 8.3938 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8652 loss: 0.8652 2022/06/28 22:20:41 - mmengine - INFO - Epoch(train) [98][1540/3757] lr: 1.000e-04 eta: 0:43:01 time: 0.206 data_time: 0.017 memory: 5148 grad_norm: 10.0176 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3080 loss: 1.3080 2022/06/28 22:20:46 - mmengine - INFO - Epoch(train) [98][1560/3757] lr: 1.000e-04 eta: 0:42:56 time: 0.211 data_time: 0.008 memory: 5148 grad_norm: 9.6889 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2252 loss: 1.2252 2022/06/28 22:20:49 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 22:20:51 - mmengine - INFO - Epoch(train) [98][1580/3757] lr: 1.000e-04 eta: 0:42:51 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 9.6997 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3449 loss: 1.3449 2022/06/28 22:20:57 - mmengine - INFO - Epoch(train) [98][1600/3757] lr: 1.000e-04 eta: 0:42:46 time: 0.210 data_time: 0.021 memory: 5148 grad_norm: 9.9839 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1422 loss: 1.1422 2022/06/28 22:21:03 - mmengine - INFO - Epoch(train) [98][1620/3757] lr: 1.000e-04 eta: 0:42:40 time: 0.208 data_time: 0.012 memory: 5148 grad_norm: 8.8776 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9858 loss: 0.9858 2022/06/28 22:21:08 - mmengine - INFO - Epoch(train) [98][1640/3757] lr: 1.000e-04 eta: 0:42:35 time: 0.210 data_time: 0.012 memory: 5148 grad_norm: 8.4140 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0960 loss: 1.0960 2022/06/28 22:21:13 - mmengine - INFO - Epoch(train) [98][1660/3757] lr: 1.000e-04 eta: 0:42:30 time: 0.217 data_time: 0.016 memory: 5148 grad_norm: 8.5906 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2566 loss: 1.2566 2022/06/28 22:21:18 - mmengine - INFO - Epoch(train) [98][1680/3757] lr: 1.000e-04 eta: 0:42:24 time: 0.254 data_time: 0.011 memory: 5148 grad_norm: 6.9338 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3751 loss: 1.3751 2022/06/28 22:21:24 - mmengine - INFO - Epoch(train) [98][1700/3757] lr: 1.000e-04 eta: 0:42:19 time: 0.218 data_time: 0.008 memory: 5148 grad_norm: 9.5062 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9634 loss: 0.9634 2022/06/28 22:21:29 - mmengine - INFO - Epoch(train) [98][1720/3757] lr: 1.000e-04 eta: 0:42:14 time: 0.207 data_time: 0.013 memory: 5148 grad_norm: 8.8904 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9422 loss: 0.9422 2022/06/28 22:21:34 - mmengine - INFO - Epoch(train) [98][1740/3757] lr: 1.000e-04 eta: 0:42:08 time: 0.202 data_time: 0.011 memory: 5148 grad_norm: 8.1793 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1923 loss: 1.1923 2022/06/28 22:21:39 - mmengine - INFO - Epoch(train) [98][1760/3757] lr: 1.000e-04 eta: 0:42:03 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 9.3298 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2865 loss: 1.2865 2022/06/28 22:21:45 - mmengine - INFO - Epoch(train) [98][1780/3757] lr: 1.000e-04 eta: 0:41:58 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 9.9150 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3341 loss: 1.3341 2022/06/28 22:21:50 - mmengine - INFO - Epoch(train) [98][1800/3757] lr: 1.000e-04 eta: 0:41:52 time: 0.196 data_time: 0.012 memory: 5148 grad_norm: 9.1453 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4160 loss: 1.4160 2022/06/28 22:21:56 - mmengine - INFO - Epoch(train) [98][1820/3757] lr: 1.000e-04 eta: 0:41:47 time: 0.207 data_time: 0.011 memory: 5148 grad_norm: 8.3439 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0236 loss: 1.0236 2022/06/28 22:22:01 - mmengine - INFO - Epoch(train) [98][1840/3757] lr: 1.000e-04 eta: 0:41:42 time: 0.197 data_time: 0.014 memory: 5148 grad_norm: 10.5326 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1238 loss: 1.1238 2022/06/28 22:22:05 - mmengine - INFO - Epoch(train) [98][1860/3757] lr: 1.000e-04 eta: 0:41:37 time: 0.203 data_time: 0.021 memory: 5148 grad_norm: 9.4960 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8417 loss: 0.8417 2022/06/28 22:22:11 - mmengine - INFO - Epoch(train) [98][1880/3757] lr: 1.000e-04 eta: 0:41:31 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 11.5400 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3371 loss: 1.3371 2022/06/28 22:22:18 - mmengine - INFO - Epoch(train) [98][1900/3757] lr: 1.000e-04 eta: 0:41:26 time: 0.204 data_time: 0.013 memory: 5148 grad_norm: 10.0532 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0368 loss: 1.0368 2022/06/28 22:22:22 - mmengine - INFO - Epoch(train) [98][1920/3757] lr: 1.000e-04 eta: 0:41:21 time: 0.212 data_time: 0.017 memory: 5148 grad_norm: 10.1519 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1036 loss: 1.1036 2022/06/28 22:22:28 - mmengine - INFO - Epoch(train) [98][1940/3757] lr: 1.000e-04 eta: 0:41:15 time: 0.211 data_time: 0.011 memory: 5148 grad_norm: 8.3471 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0655 loss: 1.0655 2022/06/28 22:22:33 - mmengine - INFO - Epoch(train) [98][1960/3757] lr: 1.000e-04 eta: 0:41:10 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 8.5810 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3030 loss: 1.3030 2022/06/28 22:22:38 - mmengine - INFO - Epoch(train) [98][1980/3757] lr: 1.000e-04 eta: 0:41:05 time: 0.222 data_time: 0.017 memory: 5148 grad_norm: 9.9461 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2847 loss: 1.2847 2022/06/28 22:22:44 - mmengine - INFO - Epoch(train) [98][2000/3757] lr: 1.000e-04 eta: 0:40:59 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 10.1728 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0063 loss: 1.0063 2022/06/28 22:22:49 - mmengine - INFO - Epoch(train) [98][2020/3757] lr: 1.000e-04 eta: 0:40:54 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 9.2694 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1152 loss: 1.1152 2022/06/28 22:22:54 - mmengine - INFO - Epoch(train) [98][2040/3757] lr: 1.000e-04 eta: 0:40:49 time: 0.210 data_time: 0.016 memory: 5148 grad_norm: 10.1920 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9977 loss: 0.9977 2022/06/28 22:23:00 - mmengine - INFO - Epoch(train) [98][2060/3757] lr: 1.000e-04 eta: 0:40:44 time: 0.207 data_time: 0.027 memory: 5148 grad_norm: 9.2082 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3890 loss: 1.3890 2022/06/28 22:23:05 - mmengine - INFO - Epoch(train) [98][2080/3757] lr: 1.000e-04 eta: 0:40:38 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 10.3237 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0718 loss: 1.0718 2022/06/28 22:23:10 - mmengine - INFO - Epoch(train) [98][2100/3757] lr: 1.000e-04 eta: 0:40:33 time: 0.230 data_time: 0.007 memory: 5148 grad_norm: 9.8492 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1748 loss: 1.1748 2022/06/28 22:23:16 - mmengine - INFO - Epoch(train) [98][2120/3757] lr: 1.000e-04 eta: 0:40:28 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 10.0311 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4007 loss: 1.4007 2022/06/28 22:23:21 - mmengine - INFO - Epoch(train) [98][2140/3757] lr: 1.000e-04 eta: 0:40:22 time: 0.209 data_time: 0.012 memory: 5148 grad_norm: 9.1544 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0197 loss: 1.0197 2022/06/28 22:23:26 - mmengine - INFO - Epoch(train) [98][2160/3757] lr: 1.000e-04 eta: 0:40:17 time: 0.218 data_time: 0.008 memory: 5148 grad_norm: 7.9533 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0633 loss: 1.0633 2022/06/28 22:23:31 - mmengine - INFO - Epoch(train) [98][2180/3757] lr: 1.000e-04 eta: 0:40:12 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 9.6852 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7689 loss: 0.7689 2022/06/28 22:23:37 - mmengine - INFO - Epoch(train) [98][2200/3757] lr: 1.000e-04 eta: 0:40:06 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 10.5309 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0046 loss: 1.0046 2022/06/28 22:23:41 - mmengine - INFO - Epoch(train) [98][2220/3757] lr: 1.000e-04 eta: 0:40:01 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 8.5649 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3842 loss: 1.3842 2022/06/28 22:23:47 - mmengine - INFO - Epoch(train) [98][2240/3757] lr: 1.000e-04 eta: 0:39:56 time: 0.206 data_time: 0.012 memory: 5148 grad_norm: 7.8089 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1412 loss: 1.1412 2022/06/28 22:23:53 - mmengine - INFO - Epoch(train) [98][2260/3757] lr: 1.000e-04 eta: 0:39:50 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 10.2634 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.3468 loss: 1.3468 2022/06/28 22:23:57 - mmengine - INFO - Epoch(train) [98][2280/3757] lr: 1.000e-04 eta: 0:39:45 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 9.0719 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1589 loss: 1.1589 2022/06/28 22:24:03 - mmengine - INFO - Epoch(train) [98][2300/3757] lr: 1.000e-04 eta: 0:39:40 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 8.2587 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1374 loss: 1.1374 2022/06/28 22:24:09 - mmengine - INFO - Epoch(train) [98][2320/3757] lr: 1.000e-04 eta: 0:39:35 time: 0.211 data_time: 0.014 memory: 5148 grad_norm: 9.5024 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3661 loss: 1.3661 2022/06/28 22:24:13 - mmengine - INFO - Epoch(train) [98][2340/3757] lr: 1.000e-04 eta: 0:39:29 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 7.9695 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3993 loss: 1.3993 2022/06/28 22:24:20 - mmengine - INFO - Epoch(train) [98][2360/3757] lr: 1.000e-04 eta: 0:39:24 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 9.2501 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2198 loss: 1.2198 2022/06/28 22:24:25 - mmengine - INFO - Epoch(train) [98][2380/3757] lr: 1.000e-04 eta: 0:39:19 time: 0.231 data_time: 0.012 memory: 5148 grad_norm: 8.9489 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8141 loss: 0.8141 2022/06/28 22:24:30 - mmengine - INFO - Epoch(train) [98][2400/3757] lr: 1.000e-04 eta: 0:39:13 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 8.8470 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8191 loss: 0.8191 2022/06/28 22:24:36 - mmengine - INFO - Epoch(train) [98][2420/3757] lr: 1.000e-04 eta: 0:39:08 time: 0.208 data_time: 0.011 memory: 5148 grad_norm: 8.9213 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3318 loss: 1.3318 2022/06/28 22:24:41 - mmengine - INFO - Epoch(train) [98][2440/3757] lr: 1.000e-04 eta: 0:39:03 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 9.2982 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3817 loss: 1.3817 2022/06/28 22:24:47 - mmengine - INFO - Epoch(train) [98][2460/3757] lr: 1.000e-04 eta: 0:38:57 time: 0.230 data_time: 0.006 memory: 5148 grad_norm: 7.7475 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9800 loss: 0.9800 2022/06/28 22:24:51 - mmengine - INFO - Epoch(train) [98][2480/3757] lr: 1.000e-04 eta: 0:38:52 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 9.3946 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2298 loss: 1.2298 2022/06/28 22:24:57 - mmengine - INFO - Epoch(train) [98][2500/3757] lr: 1.000e-04 eta: 0:38:47 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 8.7223 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6146 loss: 0.6146 2022/06/28 22:25:01 - mmengine - INFO - Epoch(train) [98][2520/3757] lr: 1.000e-04 eta: 0:38:41 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 8.9217 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8988 loss: 0.8988 2022/06/28 22:25:07 - mmengine - INFO - Epoch(train) [98][2540/3757] lr: 1.000e-04 eta: 0:38:36 time: 0.204 data_time: 0.010 memory: 5148 grad_norm: 8.1087 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1149 loss: 1.1149 2022/06/28 22:25:12 - mmengine - INFO - Epoch(train) [98][2560/3757] lr: 1.000e-04 eta: 0:38:31 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 9.6947 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9080 loss: 0.9080 2022/06/28 22:25:15 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 22:25:17 - mmengine - INFO - Epoch(train) [98][2580/3757] lr: 1.000e-04 eta: 0:38:26 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 7.6750 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0695 loss: 1.0695 2022/06/28 22:25:23 - mmengine - INFO - Epoch(train) [98][2600/3757] lr: 1.000e-04 eta: 0:38:20 time: 0.201 data_time: 0.015 memory: 5148 grad_norm: 10.0652 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1562 loss: 1.1562 2022/06/28 22:25:28 - mmengine - INFO - Epoch(train) [98][2620/3757] lr: 1.000e-04 eta: 0:38:15 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 10.7209 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9258 loss: 0.9258 2022/06/28 22:25:33 - mmengine - INFO - Epoch(train) [98][2640/3757] lr: 1.000e-04 eta: 0:38:10 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 8.4088 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1101 loss: 1.1101 2022/06/28 22:25:38 - mmengine - INFO - Epoch(train) [98][2660/3757] lr: 1.000e-04 eta: 0:38:04 time: 0.214 data_time: 0.019 memory: 5148 grad_norm: 9.6065 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1578 loss: 1.1578 2022/06/28 22:25:44 - mmengine - INFO - Epoch(train) [98][2680/3757] lr: 1.000e-04 eta: 0:37:59 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 9.4936 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4001 loss: 1.4001 2022/06/28 22:25:49 - mmengine - INFO - Epoch(train) [98][2700/3757] lr: 1.000e-04 eta: 0:37:54 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 9.6679 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2765 loss: 1.2765 2022/06/28 22:25:55 - mmengine - INFO - Epoch(train) [98][2720/3757] lr: 1.000e-04 eta: 0:37:48 time: 0.215 data_time: 0.013 memory: 5148 grad_norm: 9.5178 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4169 loss: 1.4169 2022/06/28 22:26:01 - mmengine - INFO - Epoch(train) [98][2740/3757] lr: 1.000e-04 eta: 0:37:43 time: 0.232 data_time: 0.008 memory: 5148 grad_norm: 8.0256 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1596 loss: 1.1596 2022/06/28 22:26:06 - mmengine - INFO - Epoch(train) [98][2760/3757] lr: 1.000e-04 eta: 0:37:38 time: 0.199 data_time: 0.018 memory: 5148 grad_norm: 9.3260 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3808 loss: 1.3808 2022/06/28 22:26:11 - mmengine - INFO - Epoch(train) [98][2780/3757] lr: 1.000e-04 eta: 0:37:32 time: 0.208 data_time: 0.017 memory: 5148 grad_norm: 10.7467 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1938 loss: 1.1938 2022/06/28 22:26:16 - mmengine - INFO - Epoch(train) [98][2800/3757] lr: 1.000e-04 eta: 0:37:27 time: 0.650 data_time: 0.014 memory: 5148 grad_norm: 9.0527 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0922 loss: 1.0922 2022/06/28 22:26:22 - mmengine - INFO - Epoch(train) [98][2820/3757] lr: 1.000e-04 eta: 0:37:22 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 7.2960 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4015 loss: 1.4015 2022/06/28 22:26:27 - mmengine - INFO - Epoch(train) [98][2840/3757] lr: 1.000e-04 eta: 0:37:17 time: 0.205 data_time: 0.019 memory: 5148 grad_norm: 10.0055 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3330 loss: 1.3330 2022/06/28 22:26:32 - mmengine - INFO - Epoch(train) [98][2860/3757] lr: 1.000e-04 eta: 0:37:11 time: 0.536 data_time: 0.007 memory: 5148 grad_norm: 9.2944 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3034 loss: 1.3034 2022/06/28 22:26:38 - mmengine - INFO - Epoch(train) [98][2880/3757] lr: 1.000e-04 eta: 0:37:06 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 9.9173 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1252 loss: 1.1252 2022/06/28 22:26:43 - mmengine - INFO - Epoch(train) [98][2900/3757] lr: 1.000e-04 eta: 0:37:01 time: 0.214 data_time: 0.017 memory: 5148 grad_norm: 9.6035 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1012 loss: 1.1012 2022/06/28 22:26:49 - mmengine - INFO - Epoch(train) [98][2920/3757] lr: 1.000e-04 eta: 0:36:55 time: 0.952 data_time: 0.008 memory: 5148 grad_norm: 10.6314 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0989 loss: 1.0989 2022/06/28 22:26:54 - mmengine - INFO - Epoch(train) [98][2940/3757] lr: 1.000e-04 eta: 0:36:50 time: 0.194 data_time: 0.011 memory: 5148 grad_norm: 8.1143 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1381 loss: 1.1381 2022/06/28 22:26:59 - mmengine - INFO - Epoch(train) [98][2960/3757] lr: 1.000e-04 eta: 0:36:45 time: 0.302 data_time: 0.016 memory: 5148 grad_norm: 9.9240 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4864 loss: 1.4864 2022/06/28 22:27:04 - mmengine - INFO - Epoch(train) [98][2980/3757] lr: 1.000e-04 eta: 0:36:39 time: 0.209 data_time: 0.013 memory: 5148 grad_norm: 10.1074 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1582 loss: 1.1582 2022/06/28 22:27:10 - mmengine - INFO - Epoch(train) [98][3000/3757] lr: 1.000e-04 eta: 0:36:34 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 9.2460 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2608 loss: 1.2608 2022/06/28 22:27:15 - mmengine - INFO - Epoch(train) [98][3020/3757] lr: 1.000e-04 eta: 0:36:29 time: 0.202 data_time: 0.016 memory: 5148 grad_norm: 10.6065 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4512 loss: 1.4512 2022/06/28 22:27:20 - mmengine - INFO - Epoch(train) [98][3040/3757] lr: 1.000e-04 eta: 0:36:23 time: 0.203 data_time: 0.013 memory: 5148 grad_norm: 9.8904 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9011 loss: 0.9011 2022/06/28 22:27:26 - mmengine - INFO - Epoch(train) [98][3060/3757] lr: 1.000e-04 eta: 0:36:18 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 8.5718 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0056 loss: 1.0056 2022/06/28 22:27:31 - mmengine - INFO - Epoch(train) [98][3080/3757] lr: 1.000e-04 eta: 0:36:13 time: 0.206 data_time: 0.022 memory: 5148 grad_norm: 10.5466 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3197 loss: 1.3197 2022/06/28 22:27:36 - mmengine - INFO - Epoch(train) [98][3100/3757] lr: 1.000e-04 eta: 0:36:08 time: 0.201 data_time: 0.015 memory: 5148 grad_norm: 10.7274 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2006 loss: 1.2006 2022/06/28 22:27:42 - mmengine - INFO - Epoch(train) [98][3120/3757] lr: 1.000e-04 eta: 0:36:02 time: 0.211 data_time: 0.023 memory: 5148 grad_norm: 9.4236 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1917 loss: 1.1917 2022/06/28 22:27:47 - mmengine - INFO - Epoch(train) [98][3140/3757] lr: 1.000e-04 eta: 0:35:57 time: 0.205 data_time: 0.021 memory: 5148 grad_norm: 10.3875 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4099 loss: 1.4099 2022/06/28 22:27:52 - mmengine - INFO - Epoch(train) [98][3160/3757] lr: 1.000e-04 eta: 0:35:52 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 9.6250 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9788 loss: 0.9788 2022/06/28 22:27:58 - mmengine - INFO - Epoch(train) [98][3180/3757] lr: 1.000e-04 eta: 0:35:46 time: 0.240 data_time: 0.007 memory: 5148 grad_norm: 8.9733 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1510 loss: 1.1510 2022/06/28 22:28:03 - mmengine - INFO - Epoch(train) [98][3200/3757] lr: 1.000e-04 eta: 0:35:41 time: 0.204 data_time: 0.020 memory: 5148 grad_norm: 10.7442 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1104 loss: 1.1104 2022/06/28 22:28:08 - mmengine - INFO - Epoch(train) [98][3220/3757] lr: 1.000e-04 eta: 0:35:36 time: 0.205 data_time: 0.017 memory: 5148 grad_norm: 8.9714 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2365 loss: 1.2365 2022/06/28 22:28:13 - mmengine - INFO - Epoch(train) [98][3240/3757] lr: 1.000e-04 eta: 0:35:30 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 8.6317 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9285 loss: 0.9285 2022/06/28 22:28:19 - mmengine - INFO - Epoch(train) [98][3260/3757] lr: 1.000e-04 eta: 0:35:25 time: 0.213 data_time: 0.027 memory: 5148 grad_norm: 10.3024 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2290 loss: 1.2290 2022/06/28 22:28:25 - mmengine - INFO - Epoch(train) [98][3280/3757] lr: 1.000e-04 eta: 0:35:20 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 11.2515 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3581 loss: 1.3581 2022/06/28 22:28:30 - mmengine - INFO - Epoch(train) [98][3300/3757] lr: 1.000e-04 eta: 0:35:14 time: 0.252 data_time: 0.008 memory: 5148 grad_norm: 10.8164 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2879 loss: 1.2879 2022/06/28 22:28:35 - mmengine - INFO - Epoch(train) [98][3320/3757] lr: 1.000e-04 eta: 0:35:09 time: 0.202 data_time: 0.010 memory: 5148 grad_norm: 10.0848 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9712 loss: 0.9712 2022/06/28 22:28:40 - mmengine - INFO - Epoch(train) [98][3340/3757] lr: 1.000e-04 eta: 0:35:04 time: 0.207 data_time: 0.011 memory: 5148 grad_norm: 8.9388 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1375 loss: 1.1375 2022/06/28 22:28:45 - mmengine - INFO - Epoch(train) [98][3360/3757] lr: 1.000e-04 eta: 0:34:59 time: 0.217 data_time: 0.008 memory: 5148 grad_norm: 9.0376 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0493 loss: 1.0493 2022/06/28 22:28:51 - mmengine - INFO - Epoch(train) [98][3380/3757] lr: 1.000e-04 eta: 0:34:53 time: 0.212 data_time: 0.014 memory: 5148 grad_norm: 10.8615 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0303 loss: 1.0303 2022/06/28 22:28:56 - mmengine - INFO - Epoch(train) [98][3400/3757] lr: 1.000e-04 eta: 0:34:48 time: 0.218 data_time: 0.008 memory: 5148 grad_norm: 9.2862 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1006 loss: 1.1006 2022/06/28 22:29:01 - mmengine - INFO - Epoch(train) [98][3420/3757] lr: 1.000e-04 eta: 0:34:43 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 8.3926 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7458 loss: 0.7458 2022/06/28 22:29:07 - mmengine - INFO - Epoch(train) [98][3440/3757] lr: 1.000e-04 eta: 0:34:37 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 10.4918 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.6479 loss: 1.6479 2022/06/28 22:29:12 - mmengine - INFO - Epoch(train) [98][3460/3757] lr: 1.000e-04 eta: 0:34:32 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 8.8183 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0143 loss: 1.0143 2022/06/28 22:29:17 - mmengine - INFO - Epoch(train) [98][3480/3757] lr: 1.000e-04 eta: 0:34:27 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 9.7959 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3440 loss: 1.3440 2022/06/28 22:29:23 - mmengine - INFO - Epoch(train) [98][3500/3757] lr: 1.000e-04 eta: 0:34:21 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 9.1496 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0082 loss: 1.0082 2022/06/28 22:29:28 - mmengine - INFO - Epoch(train) [98][3520/3757] lr: 1.000e-04 eta: 0:34:16 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 8.9898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8986 loss: 0.8986 2022/06/28 22:29:33 - mmengine - INFO - Epoch(train) [98][3540/3757] lr: 1.000e-04 eta: 0:34:11 time: 0.256 data_time: 0.007 memory: 5148 grad_norm: 11.1712 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0487 loss: 1.0487 2022/06/28 22:29:39 - mmengine - INFO - Epoch(train) [98][3560/3757] lr: 1.000e-04 eta: 0:34:05 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 8.3070 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2803 loss: 1.2803 2022/06/28 22:29:42 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 22:29:44 - mmengine - INFO - Epoch(train) [98][3580/3757] lr: 1.000e-04 eta: 0:34:00 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 9.4569 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0620 loss: 1.0620 2022/06/28 22:29:49 - mmengine - INFO - Epoch(train) [98][3600/3757] lr: 1.000e-04 eta: 0:33:55 time: 0.216 data_time: 0.006 memory: 5148 grad_norm: 9.0615 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1592 loss: 1.1592 2022/06/28 22:29:55 - mmengine - INFO - Epoch(train) [98][3620/3757] lr: 1.000e-04 eta: 0:33:50 time: 0.205 data_time: 0.012 memory: 5148 grad_norm: 10.7804 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 0.8224 loss: 0.8224 2022/06/28 22:30:00 - mmengine - INFO - Epoch(train) [98][3640/3757] lr: 1.000e-04 eta: 0:33:44 time: 0.216 data_time: 0.008 memory: 5148 grad_norm: 8.9891 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1692 loss: 1.1692 2022/06/28 22:30:05 - mmengine - INFO - Epoch(train) [98][3660/3757] lr: 1.000e-04 eta: 0:33:39 time: 0.200 data_time: 0.014 memory: 5148 grad_norm: 8.1946 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0540 loss: 1.0540 2022/06/28 22:30:10 - mmengine - INFO - Epoch(train) [98][3680/3757] lr: 1.000e-04 eta: 0:33:34 time: 0.204 data_time: 0.012 memory: 5148 grad_norm: 9.9455 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9307 loss: 0.9307 2022/06/28 22:30:15 - mmengine - INFO - Epoch(train) [98][3700/3757] lr: 1.000e-04 eta: 0:33:28 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 9.6526 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9548 loss: 0.9548 2022/06/28 22:30:21 - mmengine - INFO - Epoch(train) [98][3720/3757] lr: 1.000e-04 eta: 0:33:23 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 9.3347 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5211 loss: 1.5211 2022/06/28 22:30:26 - mmengine - INFO - Epoch(train) [98][3740/3757] lr: 1.000e-04 eta: 0:33:18 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 9.1755 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8205 loss: 0.8205 2022/06/28 22:30:29 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 22:30:36 - mmengine - INFO - Epoch(val) [98][20/310] eta: 0:01:12 time: 0.328 data_time: 0.250 memory: 5148 2022/06/28 22:30:40 - mmengine - INFO - Epoch(val) [98][40/310] eta: 0:00:57 time: 0.085 data_time: 0.008 memory: 1367 2022/06/28 22:30:46 - mmengine - INFO - Epoch(val) [98][60/310] eta: 0:00:52 time: 0.088 data_time: 0.013 memory: 1367 2022/06/28 22:30:51 - mmengine - INFO - Epoch(val) [98][80/310] eta: 0:00:55 time: 0.105 data_time: 0.033 memory: 1367 2022/06/28 22:30:56 - mmengine - INFO - Epoch(val) [98][100/310] eta: 0:00:47 time: 0.084 data_time: 0.010 memory: 1367 2022/06/28 22:31:01 - mmengine - INFO - Epoch(val) [98][120/310] eta: 0:00:48 time: 0.423 data_time: 0.352 memory: 1367 2022/06/28 22:31:07 - mmengine - INFO - Epoch(val) [98][140/310] eta: 0:00:48 time: 0.474 data_time: 0.402 memory: 1367 2022/06/28 22:31:12 - mmengine - INFO - Epoch(val) [98][160/310] eta: 0:00:39 time: 0.623 data_time: 0.547 memory: 1367 2022/06/28 22:31:18 - mmengine - INFO - Epoch(val) [98][180/310] eta: 0:00:44 time: 0.860 data_time: 0.789 memory: 1367 2022/06/28 22:31:23 - mmengine - INFO - Epoch(val) [98][200/310] eta: 0:00:25 time: 0.083 data_time: 0.011 memory: 1367 2022/06/28 22:31:29 - mmengine - INFO - Epoch(val) [98][220/310] eta: 0:00:33 time: 0.197 data_time: 0.120 memory: 1367 2022/06/28 22:31:33 - mmengine - INFO - Epoch(val) [98][240/310] eta: 0:00:15 time: 0.088 data_time: 0.013 memory: 1367 2022/06/28 22:31:39 - mmengine - INFO - Epoch(val) [98][260/310] eta: 0:00:18 time: 0.188 data_time: 0.116 memory: 1367 2022/06/28 22:31:44 - mmengine - INFO - Epoch(val) [98][280/310] eta: 0:00:07 time: 0.080 data_time: 0.007 memory: 1367 2022/06/28 22:31:50 - mmengine - INFO - Epoch(val) [98][300/310] eta: 0:00:03 time: 0.631 data_time: 0.556 memory: 1367 2022/06/28 22:31:53 - mmengine - INFO - Epoch(val) [98][310/310] acc/top1: 0.6615 acc/top5: 0.8624 acc/mean1: 0.6614 2022/06/28 22:32:01 - mmengine - INFO - Epoch(train) [99][20/3757] lr: 1.000e-04 eta: 0:33:08 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 8.5972 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9311 loss: 0.9311 2022/06/28 22:32:07 - mmengine - INFO - Epoch(train) [99][40/3757] lr: 1.000e-04 eta: 0:33:03 time: 0.209 data_time: 0.011 memory: 5148 grad_norm: 8.5073 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8062 loss: 0.8062 2022/06/28 22:32:12 - mmengine - INFO - Epoch(train) [99][60/3757] lr: 1.000e-04 eta: 0:32:57 time: 0.214 data_time: 0.008 memory: 5148 grad_norm: 9.4577 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3399 loss: 1.3399 2022/06/28 22:32:18 - mmengine - INFO - Epoch(train) [99][80/3757] lr: 1.000e-04 eta: 0:32:52 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 7.6174 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8357 loss: 0.8357 2022/06/28 22:32:23 - mmengine - INFO - Epoch(train) [99][100/3757] lr: 1.000e-04 eta: 0:32:47 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 10.7180 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0219 loss: 1.0219 2022/06/28 22:32:28 - mmengine - INFO - Epoch(train) [99][120/3757] lr: 1.000e-04 eta: 0:32:41 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 8.8458 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8258 loss: 0.8258 2022/06/28 22:32:33 - mmengine - INFO - Epoch(train) [99][140/3757] lr: 1.000e-04 eta: 0:32:36 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 9.5168 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4379 loss: 1.4379 2022/06/28 22:32:39 - mmengine - INFO - Epoch(train) [99][160/3757] lr: 1.000e-04 eta: 0:32:31 time: 0.214 data_time: 0.008 memory: 5148 grad_norm: 9.4193 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0559 loss: 1.0559 2022/06/28 22:32:44 - mmengine - INFO - Epoch(train) [99][180/3757] lr: 1.000e-04 eta: 0:32:25 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 10.6427 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2025 loss: 1.2025 2022/06/28 22:32:49 - mmengine - INFO - Epoch(train) [99][200/3757] lr: 1.000e-04 eta: 0:32:20 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 8.0716 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8678 loss: 0.8678 2022/06/28 22:32:55 - mmengine - INFO - Epoch(train) [99][220/3757] lr: 1.000e-04 eta: 0:32:15 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 10.3589 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7837 loss: 0.7837 2022/06/28 22:33:00 - mmengine - INFO - Epoch(train) [99][240/3757] lr: 1.000e-04 eta: 0:32:10 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 9.6663 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7099 loss: 0.7099 2022/06/28 22:33:05 - mmengine - INFO - Epoch(train) [99][260/3757] lr: 1.000e-04 eta: 0:32:04 time: 0.196 data_time: 0.010 memory: 5148 grad_norm: 10.8296 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1073 loss: 1.1073 2022/06/28 22:33:11 - mmengine - INFO - Epoch(train) [99][280/3757] lr: 1.000e-04 eta: 0:31:59 time: 0.235 data_time: 0.012 memory: 5148 grad_norm: 9.3098 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0877 loss: 1.0877 2022/06/28 22:33:16 - mmengine - INFO - Epoch(train) [99][300/3757] lr: 1.000e-04 eta: 0:31:54 time: 0.207 data_time: 0.009 memory: 5148 grad_norm: 9.1812 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2274 loss: 1.2274 2022/06/28 22:33:22 - mmengine - INFO - Epoch(train) [99][320/3757] lr: 1.000e-04 eta: 0:31:48 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 9.5973 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0162 loss: 1.0162 2022/06/28 22:33:28 - mmengine - INFO - Epoch(train) [99][340/3757] lr: 1.000e-04 eta: 0:31:43 time: 0.210 data_time: 0.009 memory: 5148 grad_norm: 9.8700 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3162 loss: 1.3162 2022/06/28 22:33:32 - mmengine - INFO - Epoch(train) [99][360/3757] lr: 1.000e-04 eta: 0:31:38 time: 0.204 data_time: 0.009 memory: 5148 grad_norm: 9.5821 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8687 loss: 0.8687 2022/06/28 22:33:37 - mmengine - INFO - Epoch(train) [99][380/3757] lr: 1.000e-04 eta: 0:31:32 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 8.8586 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8869 loss: 0.8869 2022/06/28 22:33:44 - mmengine - INFO - Epoch(train) [99][400/3757] lr: 1.000e-04 eta: 0:31:27 time: 0.703 data_time: 0.007 memory: 5148 grad_norm: 9.1853 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2319 loss: 1.2319 2022/06/28 22:33:48 - mmengine - INFO - Epoch(train) [99][420/3757] lr: 1.000e-04 eta: 0:31:22 time: 0.228 data_time: 0.050 memory: 5148 grad_norm: 10.1108 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9018 loss: 0.9018 2022/06/28 22:33:54 - mmengine - INFO - Epoch(train) [99][440/3757] lr: 1.000e-04 eta: 0:31:16 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 7.8353 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1118 loss: 1.1118 2022/06/28 22:33:59 - mmengine - INFO - Epoch(train) [99][460/3757] lr: 1.000e-04 eta: 0:31:11 time: 0.315 data_time: 0.008 memory: 5148 grad_norm: 10.0266 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0589 loss: 1.0589 2022/06/28 22:34:04 - mmengine - INFO - Epoch(train) [99][480/3757] lr: 1.000e-04 eta: 0:31:06 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 10.5251 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7663 loss: 0.7663 2022/06/28 22:34:10 - mmengine - INFO - Epoch(train) [99][500/3757] lr: 1.000e-04 eta: 0:31:01 time: 0.214 data_time: 0.006 memory: 5148 grad_norm: 8.9247 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2719 loss: 1.2719 2022/06/28 22:34:15 - mmengine - INFO - Epoch(train) [99][520/3757] lr: 1.000e-04 eta: 0:30:55 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 10.4484 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1117 loss: 1.1117 2022/06/28 22:34:20 - mmengine - INFO - Epoch(train) [99][540/3757] lr: 1.000e-04 eta: 0:30:50 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 9.4180 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9186 loss: 0.9186 2022/06/28 22:34:26 - mmengine - INFO - Epoch(train) [99][560/3757] lr: 1.000e-04 eta: 0:30:45 time: 0.212 data_time: 0.008 memory: 5148 grad_norm: 7.8255 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2333 loss: 1.2333 2022/06/28 22:34:31 - mmengine - INFO - Epoch(train) [99][580/3757] lr: 1.000e-04 eta: 0:30:39 time: 0.200 data_time: 0.010 memory: 5148 grad_norm: 9.3395 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6230 loss: 1.6230 2022/06/28 22:34:36 - mmengine - INFO - Epoch(train) [99][600/3757] lr: 1.000e-04 eta: 0:30:34 time: 0.196 data_time: 0.008 memory: 5148 grad_norm: 9.2207 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2321 loss: 1.2321 2022/06/28 22:34:42 - mmengine - INFO - Epoch(train) [99][620/3757] lr: 1.000e-04 eta: 0:30:29 time: 0.212 data_time: 0.008 memory: 5148 grad_norm: 7.9377 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9683 loss: 0.9683 2022/06/28 22:34:47 - mmengine - INFO - Epoch(train) [99][640/3757] lr: 1.000e-04 eta: 0:30:23 time: 0.211 data_time: 0.008 memory: 5148 grad_norm: 9.8712 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1930 loss: 1.1930 2022/06/28 22:34:52 - mmengine - INFO - Epoch(train) [99][660/3757] lr: 1.000e-04 eta: 0:30:18 time: 0.198 data_time: 0.009 memory: 5148 grad_norm: 9.6048 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1100 loss: 1.1100 2022/06/28 22:34:58 - mmengine - INFO - Epoch(train) [99][680/3757] lr: 1.000e-04 eta: 0:30:13 time: 0.198 data_time: 0.006 memory: 5148 grad_norm: 8.2552 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8836 loss: 0.8836 2022/06/28 22:35:03 - mmengine - INFO - Epoch(train) [99][700/3757] lr: 1.000e-04 eta: 0:30:07 time: 0.325 data_time: 0.007 memory: 5148 grad_norm: 6.7332 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9167 loss: 0.9167 2022/06/28 22:35:09 - mmengine - INFO - Epoch(train) [99][720/3757] lr: 1.000e-04 eta: 0:30:02 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 8.3149 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4626 loss: 1.4626 2022/06/28 22:35:14 - mmengine - INFO - Epoch(train) [99][740/3757] lr: 1.000e-04 eta: 0:29:57 time: 0.215 data_time: 0.008 memory: 5148 grad_norm: 10.1525 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2099 loss: 1.2099 2022/06/28 22:35:19 - mmengine - INFO - Epoch(train) [99][760/3757] lr: 1.000e-04 eta: 0:29:52 time: 0.227 data_time: 0.010 memory: 5148 grad_norm: 9.9792 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6468 loss: 0.6468 2022/06/28 22:35:24 - mmengine - INFO - Epoch(train) [99][780/3757] lr: 1.000e-04 eta: 0:29:46 time: 0.201 data_time: 0.018 memory: 5148 grad_norm: 10.7073 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8536 loss: 0.8536 2022/06/28 22:35:29 - mmengine - INFO - Epoch(train) [99][800/3757] lr: 1.000e-04 eta: 0:29:41 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 9.8909 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1041 loss: 1.1041 2022/06/28 22:35:33 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 22:35:34 - mmengine - INFO - Epoch(train) [99][820/3757] lr: 1.000e-04 eta: 0:29:36 time: 0.341 data_time: 0.015 memory: 5148 grad_norm: 7.9083 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5497 loss: 1.5497 2022/06/28 22:35:40 - mmengine - INFO - Epoch(train) [99][840/3757] lr: 1.000e-04 eta: 0:29:30 time: 0.259 data_time: 0.019 memory: 5148 grad_norm: 11.3806 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3833 loss: 1.3833 2022/06/28 22:35:45 - mmengine - INFO - Epoch(train) [99][860/3757] lr: 1.000e-04 eta: 0:29:25 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 9.3678 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3120 loss: 1.3120 2022/06/28 22:35:50 - mmengine - INFO - Epoch(train) [99][880/3757] lr: 1.000e-04 eta: 0:29:20 time: 0.211 data_time: 0.014 memory: 5148 grad_norm: 9.7588 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3754 loss: 1.3754 2022/06/28 22:35:55 - mmengine - INFO - Epoch(train) [99][900/3757] lr: 1.000e-04 eta: 0:29:14 time: 0.208 data_time: 0.023 memory: 5148 grad_norm: 9.9903 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0800 loss: 1.0800 2022/06/28 22:36:01 - mmengine - INFO - Epoch(train) [99][920/3757] lr: 1.000e-04 eta: 0:29:09 time: 0.201 data_time: 0.010 memory: 5148 grad_norm: 11.3567 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1388 loss: 1.1388 2022/06/28 22:36:06 - mmengine - INFO - Epoch(train) [99][940/3757] lr: 1.000e-04 eta: 0:29:04 time: 0.213 data_time: 0.017 memory: 5148 grad_norm: 9.0329 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0013 loss: 1.0013 2022/06/28 22:36:11 - mmengine - INFO - Epoch(train) [99][960/3757] lr: 1.000e-04 eta: 0:28:58 time: 0.211 data_time: 0.028 memory: 5148 grad_norm: 9.4811 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4168 loss: 1.4168 2022/06/28 22:36:17 - mmengine - INFO - Epoch(train) [99][980/3757] lr: 1.000e-04 eta: 0:28:53 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 8.8937 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0167 loss: 1.0167 2022/06/28 22:36:22 - mmengine - INFO - Epoch(train) [99][1000/3757] lr: 1.000e-04 eta: 0:28:48 time: 0.205 data_time: 0.013 memory: 5148 grad_norm: 9.3681 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9872 loss: 0.9872 2022/06/28 22:36:28 - mmengine - INFO - Epoch(train) [99][1020/3757] lr: 1.000e-04 eta: 0:28:43 time: 0.211 data_time: 0.027 memory: 5148 grad_norm: 10.1601 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3794 loss: 1.3794 2022/06/28 22:36:33 - mmengine - INFO - Epoch(train) [99][1040/3757] lr: 1.000e-04 eta: 0:28:37 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 10.7582 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2130 loss: 1.2130 2022/06/28 22:36:39 - mmengine - INFO - Epoch(train) [99][1060/3757] lr: 1.000e-04 eta: 0:28:32 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 7.7942 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1110 loss: 1.1110 2022/06/28 22:36:44 - mmengine - INFO - Epoch(train) [99][1080/3757] lr: 1.000e-04 eta: 0:28:27 time: 0.207 data_time: 0.016 memory: 5148 grad_norm: 9.2957 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3505 loss: 1.3505 2022/06/28 22:36:49 - mmengine - INFO - Epoch(train) [99][1100/3757] lr: 1.000e-04 eta: 0:28:21 time: 0.209 data_time: 0.012 memory: 5148 grad_norm: 10.0462 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9662 loss: 0.9662 2022/06/28 22:36:54 - mmengine - INFO - Epoch(train) [99][1120/3757] lr: 1.000e-04 eta: 0:28:16 time: 0.200 data_time: 0.015 memory: 5148 grad_norm: 9.7579 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.2011 loss: 1.2011 2022/06/28 22:36:59 - mmengine - INFO - Epoch(train) [99][1140/3757] lr: 1.000e-04 eta: 0:28:11 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 8.6893 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3162 loss: 1.3162 2022/06/28 22:37:05 - mmengine - INFO - Epoch(train) [99][1160/3757] lr: 1.000e-04 eta: 0:28:05 time: 0.209 data_time: 0.011 memory: 5148 grad_norm: 9.8797 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2051 loss: 1.2051 2022/06/28 22:37:10 - mmengine - INFO - Epoch(train) [99][1180/3757] lr: 1.000e-04 eta: 0:28:00 time: 0.254 data_time: 0.011 memory: 5148 grad_norm: 9.2225 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1695 loss: 1.1695 2022/06/28 22:37:15 - mmengine - INFO - Epoch(train) [99][1200/3757] lr: 1.000e-04 eta: 0:27:55 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 10.3154 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0427 loss: 1.0427 2022/06/28 22:37:21 - mmengine - INFO - Epoch(train) [99][1220/3757] lr: 1.000e-04 eta: 0:27:50 time: 0.208 data_time: 0.010 memory: 5148 grad_norm: 7.2447 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3008 loss: 1.3008 2022/06/28 22:37:25 - mmengine - INFO - Epoch(train) [99][1240/3757] lr: 1.000e-04 eta: 0:27:44 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 10.4989 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5714 loss: 1.5714 2022/06/28 22:37:31 - mmengine - INFO - Epoch(train) [99][1260/3757] lr: 1.000e-04 eta: 0:27:39 time: 0.208 data_time: 0.031 memory: 5148 grad_norm: 10.3951 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1919 loss: 1.1919 2022/06/28 22:37:36 - mmengine - INFO - Epoch(train) [99][1280/3757] lr: 1.000e-04 eta: 0:27:34 time: 0.206 data_time: 0.012 memory: 5148 grad_norm: 9.6407 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9916 loss: 0.9916 2022/06/28 22:37:41 - mmengine - INFO - Epoch(train) [99][1300/3757] lr: 1.000e-04 eta: 0:27:28 time: 0.208 data_time: 0.012 memory: 5148 grad_norm: 7.1877 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3057 loss: 1.3057 2022/06/28 22:37:47 - mmengine - INFO - Epoch(train) [99][1320/3757] lr: 1.000e-04 eta: 0:27:23 time: 0.203 data_time: 0.015 memory: 5148 grad_norm: 6.9810 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1016 loss: 1.1016 2022/06/28 22:37:52 - mmengine - INFO - Epoch(train) [99][1340/3757] lr: 1.000e-04 eta: 0:27:18 time: 0.210 data_time: 0.010 memory: 5148 grad_norm: 9.5432 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9022 loss: 0.9022 2022/06/28 22:37:57 - mmengine - INFO - Epoch(train) [99][1360/3757] lr: 1.000e-04 eta: 0:27:12 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 11.1172 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4544 loss: 1.4544 2022/06/28 22:38:02 - mmengine - INFO - Epoch(train) [99][1380/3757] lr: 1.000e-04 eta: 0:27:07 time: 0.219 data_time: 0.039 memory: 5148 grad_norm: 9.6753 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1106 loss: 1.1106 2022/06/28 22:38:07 - mmengine - INFO - Epoch(train) [99][1400/3757] lr: 1.000e-04 eta: 0:27:02 time: 0.205 data_time: 0.013 memory: 5148 grad_norm: 9.5623 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2086 loss: 1.2086 2022/06/28 22:38:12 - mmengine - INFO - Epoch(train) [99][1420/3757] lr: 1.000e-04 eta: 0:26:56 time: 0.210 data_time: 0.009 memory: 5148 grad_norm: 8.0041 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1521 loss: 1.1521 2022/06/28 22:38:17 - mmengine - INFO - Epoch(train) [99][1440/3757] lr: 1.000e-04 eta: 0:26:51 time: 0.208 data_time: 0.021 memory: 5148 grad_norm: 9.7428 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0474 loss: 1.0474 2022/06/28 22:38:23 - mmengine - INFO - Epoch(train) [99][1460/3757] lr: 1.000e-04 eta: 0:26:46 time: 0.212 data_time: 0.017 memory: 5148 grad_norm: 11.1107 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1610 loss: 1.1610 2022/06/28 22:38:29 - mmengine - INFO - Epoch(train) [99][1480/3757] lr: 1.000e-04 eta: 0:26:41 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 9.1794 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9235 loss: 0.9235 2022/06/28 22:38:34 - mmengine - INFO - Epoch(train) [99][1500/3757] lr: 1.000e-04 eta: 0:26:35 time: 0.200 data_time: 0.014 memory: 5148 grad_norm: 11.6065 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6242 loss: 1.6242 2022/06/28 22:38:39 - mmengine - INFO - Epoch(train) [99][1520/3757] lr: 1.000e-04 eta: 0:26:30 time: 0.207 data_time: 0.012 memory: 5148 grad_norm: 8.5218 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0698 loss: 1.0698 2022/06/28 22:38:45 - mmengine - INFO - Epoch(train) [99][1540/3757] lr: 1.000e-04 eta: 0:26:25 time: 0.202 data_time: 0.013 memory: 5148 grad_norm: 8.9520 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1603 loss: 1.1603 2022/06/28 22:38:50 - mmengine - INFO - Epoch(train) [99][1560/3757] lr: 1.000e-04 eta: 0:26:19 time: 0.206 data_time: 0.016 memory: 5148 grad_norm: 9.7412 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3649 loss: 1.3649 2022/06/28 22:38:55 - mmengine - INFO - Epoch(train) [99][1580/3757] lr: 1.000e-04 eta: 0:26:14 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 9.5474 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8036 loss: 0.8036 2022/06/28 22:39:00 - mmengine - INFO - Epoch(train) [99][1600/3757] lr: 1.000e-04 eta: 0:26:09 time: 0.198 data_time: 0.012 memory: 5148 grad_norm: 9.9322 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1411 loss: 1.1411 2022/06/28 22:39:06 - mmengine - INFO - Epoch(train) [99][1620/3757] lr: 1.000e-04 eta: 0:26:03 time: 0.203 data_time: 0.017 memory: 5148 grad_norm: 7.6685 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1774 loss: 1.1774 2022/06/28 22:39:11 - mmengine - INFO - Epoch(train) [99][1640/3757] lr: 1.000e-04 eta: 0:25:58 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 9.1000 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1783 loss: 1.1783 2022/06/28 22:39:17 - mmengine - INFO - Epoch(train) [99][1660/3757] lr: 1.000e-04 eta: 0:25:53 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 9.2437 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2394 loss: 1.2394 2022/06/28 22:39:22 - mmengine - INFO - Epoch(train) [99][1680/3757] lr: 1.000e-04 eta: 0:25:47 time: 0.212 data_time: 0.018 memory: 5148 grad_norm: 10.0030 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0555 loss: 1.0555 2022/06/28 22:39:27 - mmengine - INFO - Epoch(train) [99][1700/3757] lr: 1.000e-04 eta: 0:25:42 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 11.0743 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9411 loss: 0.9411 2022/06/28 22:39:33 - mmengine - INFO - Epoch(train) [99][1720/3757] lr: 1.000e-04 eta: 0:25:37 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 12.4810 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2793 loss: 1.2793 2022/06/28 22:39:38 - mmengine - INFO - Epoch(train) [99][1740/3757] lr: 1.000e-04 eta: 0:25:32 time: 0.202 data_time: 0.019 memory: 5148 grad_norm: 8.3371 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1018 loss: 1.1018 2022/06/28 22:39:43 - mmengine - INFO - Epoch(train) [99][1760/3757] lr: 1.000e-04 eta: 0:25:26 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 9.0537 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3076 loss: 1.3076 2022/06/28 22:39:49 - mmengine - INFO - Epoch(train) [99][1780/3757] lr: 1.000e-04 eta: 0:25:21 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 7.7137 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8947 loss: 0.8947 2022/06/28 22:39:54 - mmengine - INFO - Epoch(train) [99][1800/3757] lr: 1.000e-04 eta: 0:25:16 time: 0.203 data_time: 0.010 memory: 5148 grad_norm: 8.4999 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9874 loss: 0.9874 2022/06/28 22:39:58 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 22:39:59 - mmengine - INFO - Epoch(train) [99][1820/3757] lr: 1.000e-04 eta: 0:25:10 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 9.4778 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1225 loss: 1.1225 2022/06/28 22:40:05 - mmengine - INFO - Epoch(train) [99][1840/3757] lr: 1.000e-04 eta: 0:25:05 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 8.7776 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0543 loss: 1.0543 2022/06/28 22:40:10 - mmengine - INFO - Epoch(train) [99][1860/3757] lr: 1.000e-04 eta: 0:25:00 time: 0.245 data_time: 0.007 memory: 5148 grad_norm: 9.4724 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9064 loss: 0.9064 2022/06/28 22:40:15 - mmengine - INFO - Epoch(train) [99][1880/3757] lr: 1.000e-04 eta: 0:24:54 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 11.1038 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2098 loss: 1.2098 2022/06/28 22:40:21 - mmengine - INFO - Epoch(train) [99][1900/3757] lr: 1.000e-04 eta: 0:24:49 time: 0.211 data_time: 0.008 memory: 5148 grad_norm: 9.0398 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1916 loss: 1.1916 2022/06/28 22:40:27 - mmengine - INFO - Epoch(train) [99][1920/3757] lr: 1.000e-04 eta: 0:24:44 time: 0.217 data_time: 0.009 memory: 5148 grad_norm: 11.1620 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4979 loss: 1.4979 2022/06/28 22:40:31 - mmengine - INFO - Epoch(train) [99][1940/3757] lr: 1.000e-04 eta: 0:24:38 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 12.5644 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1321 loss: 1.1321 2022/06/28 22:40:36 - mmengine - INFO - Epoch(train) [99][1960/3757] lr: 1.000e-04 eta: 0:24:33 time: 0.208 data_time: 0.020 memory: 5148 grad_norm: 9.5342 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7061 loss: 0.7061 2022/06/28 22:40:42 - mmengine - INFO - Epoch(train) [99][1980/3757] lr: 1.000e-04 eta: 0:24:28 time: 0.211 data_time: 0.011 memory: 5148 grad_norm: 7.8161 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8227 loss: 0.8227 2022/06/28 22:40:47 - mmengine - INFO - Epoch(train) [99][2000/3757] lr: 1.000e-04 eta: 0:24:23 time: 0.204 data_time: 0.011 memory: 5148 grad_norm: 9.8124 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2418 loss: 1.2418 2022/06/28 22:40:52 - mmengine - INFO - Epoch(train) [99][2020/3757] lr: 1.000e-04 eta: 0:24:17 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 8.4270 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3219 loss: 1.3219 2022/06/28 22:40:58 - mmengine - INFO - Epoch(train) [99][2040/3757] lr: 1.000e-04 eta: 0:24:12 time: 0.216 data_time: 0.013 memory: 5148 grad_norm: 10.5708 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6618 loss: 1.6618 2022/06/28 22:41:03 - mmengine - INFO - Epoch(train) [99][2060/3757] lr: 1.000e-04 eta: 0:24:07 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 10.4337 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1702 loss: 1.1702 2022/06/28 22:41:08 - mmengine - INFO - Epoch(train) [99][2080/3757] lr: 1.000e-04 eta: 0:24:01 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 9.3259 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1136 loss: 1.1136 2022/06/28 22:41:14 - mmengine - INFO - Epoch(train) [99][2100/3757] lr: 1.000e-04 eta: 0:23:56 time: 0.244 data_time: 0.016 memory: 5148 grad_norm: 9.3336 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2622 loss: 1.2622 2022/06/28 22:41:19 - mmengine - INFO - Epoch(train) [99][2120/3757] lr: 1.000e-04 eta: 0:23:51 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 8.5753 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9202 loss: 0.9202 2022/06/28 22:41:24 - mmengine - INFO - Epoch(train) [99][2140/3757] lr: 1.000e-04 eta: 0:23:45 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 9.3262 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0439 loss: 1.0439 2022/06/28 22:41:30 - mmengine - INFO - Epoch(train) [99][2160/3757] lr: 1.000e-04 eta: 0:23:40 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 9.5489 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0178 loss: 1.0178 2022/06/28 22:41:35 - mmengine - INFO - Epoch(train) [99][2180/3757] lr: 1.000e-04 eta: 0:23:35 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 11.5121 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0315 loss: 1.0315 2022/06/28 22:41:40 - mmengine - INFO - Epoch(train) [99][2200/3757] lr: 1.000e-04 eta: 0:23:29 time: 0.211 data_time: 0.008 memory: 5148 grad_norm: 9.6973 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4112 loss: 1.4112 2022/06/28 22:41:46 - mmengine - INFO - Epoch(train) [99][2220/3757] lr: 1.000e-04 eta: 0:23:24 time: 0.199 data_time: 0.014 memory: 5148 grad_norm: 9.4454 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9831 loss: 0.9831 2022/06/28 22:41:51 - mmengine - INFO - Epoch(train) [99][2240/3757] lr: 1.000e-04 eta: 0:23:19 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 10.7949 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1766 loss: 1.1766 2022/06/28 22:41:57 - mmengine - INFO - Epoch(train) [99][2260/3757] lr: 1.000e-04 eta: 0:23:14 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 8.7027 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9117 loss: 0.9117 2022/06/28 22:42:02 - mmengine - INFO - Epoch(train) [99][2280/3757] lr: 1.000e-04 eta: 0:23:08 time: 0.198 data_time: 0.011 memory: 5148 grad_norm: 9.6366 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8836 loss: 0.8836 2022/06/28 22:42:07 - mmengine - INFO - Epoch(train) [99][2300/3757] lr: 1.000e-04 eta: 0:23:03 time: 0.207 data_time: 0.011 memory: 5148 grad_norm: 9.1836 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1641 loss: 1.1641 2022/06/28 22:42:12 - mmengine - INFO - Epoch(train) [99][2320/3757] lr: 1.000e-04 eta: 0:22:58 time: 0.214 data_time: 0.008 memory: 5148 grad_norm: 9.9553 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3895 loss: 1.3895 2022/06/28 22:42:18 - mmengine - INFO - Epoch(train) [99][2340/3757] lr: 1.000e-04 eta: 0:22:52 time: 0.203 data_time: 0.015 memory: 5148 grad_norm: 8.1121 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9387 loss: 0.9387 2022/06/28 22:42:22 - mmengine - INFO - Epoch(train) [99][2360/3757] lr: 1.000e-04 eta: 0:22:47 time: 0.206 data_time: 0.012 memory: 5148 grad_norm: 8.3103 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2536 loss: 1.2536 2022/06/28 22:42:28 - mmengine - INFO - Epoch(train) [99][2380/3757] lr: 1.000e-04 eta: 0:22:42 time: 0.207 data_time: 0.011 memory: 5148 grad_norm: 7.7352 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3083 loss: 1.3083 2022/06/28 22:42:34 - mmengine - INFO - Epoch(train) [99][2400/3757] lr: 1.000e-04 eta: 0:22:36 time: 0.409 data_time: 0.016 memory: 5148 grad_norm: 8.5475 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0782 loss: 1.0782 2022/06/28 22:42:39 - mmengine - INFO - Epoch(train) [99][2420/3757] lr: 1.000e-04 eta: 0:22:31 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 8.7203 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2588 loss: 1.2588 2022/06/28 22:42:44 - mmengine - INFO - Epoch(train) [99][2440/3757] lr: 1.000e-04 eta: 0:22:26 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 10.1253 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3205 loss: 1.3205 2022/06/28 22:42:50 - mmengine - INFO - Epoch(train) [99][2460/3757] lr: 1.000e-04 eta: 0:22:20 time: 0.210 data_time: 0.010 memory: 5148 grad_norm: 8.9415 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2635 loss: 1.2635 2022/06/28 22:42:54 - mmengine - INFO - Epoch(train) [99][2480/3757] lr: 1.000e-04 eta: 0:22:15 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 9.0262 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2091 loss: 1.2091 2022/06/28 22:43:00 - mmengine - INFO - Epoch(train) [99][2500/3757] lr: 1.000e-04 eta: 0:22:10 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 9.4333 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2241 loss: 1.2241 2022/06/28 22:43:05 - mmengine - INFO - Epoch(train) [99][2520/3757] lr: 1.000e-04 eta: 0:22:05 time: 0.660 data_time: 0.011 memory: 5148 grad_norm: 8.3321 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0662 loss: 1.0662 2022/06/28 22:43:11 - mmengine - INFO - Epoch(train) [99][2540/3757] lr: 1.000e-04 eta: 0:21:59 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 7.6439 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7787 loss: 0.7787 2022/06/28 22:43:16 - mmengine - INFO - Epoch(train) [99][2560/3757] lr: 1.000e-04 eta: 0:21:54 time: 0.197 data_time: 0.007 memory: 5148 grad_norm: 8.5200 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9065 loss: 0.9065 2022/06/28 22:43:22 - mmengine - INFO - Epoch(train) [99][2580/3757] lr: 1.000e-04 eta: 0:21:49 time: 0.794 data_time: 0.011 memory: 5148 grad_norm: 11.4974 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1969 loss: 1.1969 2022/06/28 22:43:27 - mmengine - INFO - Epoch(train) [99][2600/3757] lr: 1.000e-04 eta: 0:21:43 time: 0.210 data_time: 0.007 memory: 5148 grad_norm: 11.1522 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3086 loss: 1.3086 2022/06/28 22:43:32 - mmengine - INFO - Epoch(train) [99][2620/3757] lr: 1.000e-04 eta: 0:21:38 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 9.2508 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5173 loss: 1.5173 2022/06/28 22:43:37 - mmengine - INFO - Epoch(train) [99][2640/3757] lr: 1.000e-04 eta: 0:21:33 time: 0.563 data_time: 0.011 memory: 5148 grad_norm: 8.1407 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9563 loss: 0.9563 2022/06/28 22:43:43 - mmengine - INFO - Epoch(train) [99][2660/3757] lr: 1.000e-04 eta: 0:21:27 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 9.3143 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2840 loss: 1.2840 2022/06/28 22:43:48 - mmengine - INFO - Epoch(train) [99][2680/3757] lr: 1.000e-04 eta: 0:21:22 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 7.9305 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5486 loss: 1.5486 2022/06/28 22:43:53 - mmengine - INFO - Epoch(train) [99][2700/3757] lr: 1.000e-04 eta: 0:21:17 time: 0.212 data_time: 0.011 memory: 5148 grad_norm: 11.4928 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4430 loss: 1.4430 2022/06/28 22:43:59 - mmengine - INFO - Epoch(train) [99][2720/3757] lr: 1.000e-04 eta: 0:21:11 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 9.8346 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1126 loss: 1.1126 2022/06/28 22:44:04 - mmengine - INFO - Epoch(train) [99][2740/3757] lr: 1.000e-04 eta: 0:21:06 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 8.9843 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2906 loss: 1.2906 2022/06/28 22:44:09 - mmengine - INFO - Epoch(train) [99][2760/3757] lr: 1.000e-04 eta: 0:21:01 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 8.9153 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9293 loss: 0.9293 2022/06/28 22:44:14 - mmengine - INFO - Epoch(train) [99][2780/3757] lr: 1.000e-04 eta: 0:20:56 time: 0.208 data_time: 0.007 memory: 5148 grad_norm: 8.6920 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3023 loss: 1.3023 2022/06/28 22:44:19 - mmengine - INFO - Epoch(train) [99][2800/3757] lr: 1.000e-04 eta: 0:20:50 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 8.4307 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9154 loss: 0.9154 2022/06/28 22:44:23 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 22:44:24 - mmengine - INFO - Epoch(train) [99][2820/3757] lr: 1.000e-04 eta: 0:20:45 time: 0.218 data_time: 0.008 memory: 5148 grad_norm: 8.6625 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2701 loss: 1.2701 2022/06/28 22:44:30 - mmengine - INFO - Epoch(train) [99][2840/3757] lr: 1.000e-04 eta: 0:20:40 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 9.5371 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2825 loss: 1.2825 2022/06/28 22:44:35 - mmengine - INFO - Epoch(train) [99][2860/3757] lr: 1.000e-04 eta: 0:20:34 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 9.8060 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5199 loss: 1.5199 2022/06/28 22:44:40 - mmengine - INFO - Epoch(train) [99][2880/3757] lr: 1.000e-04 eta: 0:20:29 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 8.8750 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5280 loss: 1.5280 2022/06/28 22:44:45 - mmengine - INFO - Epoch(train) [99][2900/3757] lr: 1.000e-04 eta: 0:20:24 time: 0.215 data_time: 0.008 memory: 5148 grad_norm: 9.2689 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2453 loss: 1.2453 2022/06/28 22:44:51 - mmengine - INFO - Epoch(train) [99][2920/3757] lr: 1.000e-04 eta: 0:20:18 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 8.8448 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8201 loss: 0.8201 2022/06/28 22:44:56 - mmengine - INFO - Epoch(train) [99][2940/3757] lr: 1.000e-04 eta: 0:20:13 time: 0.215 data_time: 0.007 memory: 5148 grad_norm: 8.4390 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0567 loss: 1.0567 2022/06/28 22:45:01 - mmengine - INFO - Epoch(train) [99][2960/3757] lr: 1.000e-04 eta: 0:20:08 time: 0.197 data_time: 0.010 memory: 5148 grad_norm: 9.2801 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0791 loss: 1.0791 2022/06/28 22:45:07 - mmengine - INFO - Epoch(train) [99][2980/3757] lr: 1.000e-04 eta: 0:20:02 time: 0.277 data_time: 0.007 memory: 5148 grad_norm: 8.6749 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1890 loss: 1.1890 2022/06/28 22:45:12 - mmengine - INFO - Epoch(train) [99][3000/3757] lr: 1.000e-04 eta: 0:19:57 time: 0.211 data_time: 0.008 memory: 5148 grad_norm: 10.2196 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0150 loss: 1.0150 2022/06/28 22:45:18 - mmengine - INFO - Epoch(train) [99][3020/3757] lr: 1.000e-04 eta: 0:19:52 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 11.2619 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2382 loss: 1.2382 2022/06/28 22:45:24 - mmengine - INFO - Epoch(train) [99][3040/3757] lr: 1.000e-04 eta: 0:19:47 time: 0.597 data_time: 0.007 memory: 5148 grad_norm: 11.3485 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0527 loss: 1.0527 2022/06/28 22:45:28 - mmengine - INFO - Epoch(train) [99][3060/3757] lr: 1.000e-04 eta: 0:19:41 time: 0.197 data_time: 0.009 memory: 5148 grad_norm: 9.6636 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2560 loss: 1.2560 2022/06/28 22:45:33 - mmengine - INFO - Epoch(train) [99][3080/3757] lr: 1.000e-04 eta: 0:19:36 time: 0.199 data_time: 0.011 memory: 5148 grad_norm: 7.7051 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0379 loss: 1.0379 2022/06/28 22:45:39 - mmengine - INFO - Epoch(train) [99][3100/3757] lr: 1.000e-04 eta: 0:19:31 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 9.5930 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0075 loss: 1.0075 2022/06/28 22:45:44 - mmengine - INFO - Epoch(train) [99][3120/3757] lr: 1.000e-04 eta: 0:19:25 time: 0.210 data_time: 0.014 memory: 5148 grad_norm: 10.5132 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9183 loss: 0.9183 2022/06/28 22:45:50 - mmengine - INFO - Epoch(train) [99][3140/3757] lr: 1.000e-04 eta: 0:19:20 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 6.8555 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2623 loss: 1.2623 2022/06/28 22:45:56 - mmengine - INFO - Epoch(train) [99][3160/3757] lr: 1.000e-04 eta: 0:19:15 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 10.3740 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1831 loss: 1.1831 2022/06/28 22:46:01 - mmengine - INFO - Epoch(train) [99][3180/3757] lr: 1.000e-04 eta: 0:19:09 time: 0.209 data_time: 0.015 memory: 5148 grad_norm: 9.6819 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4168 loss: 1.4168 2022/06/28 22:46:06 - mmengine - INFO - Epoch(train) [99][3200/3757] lr: 1.000e-04 eta: 0:19:04 time: 0.247 data_time: 0.007 memory: 5148 grad_norm: 9.5706 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9500 loss: 0.9500 2022/06/28 22:46:12 - mmengine - INFO - Epoch(train) [99][3220/3757] lr: 1.000e-04 eta: 0:18:59 time: 0.204 data_time: 0.015 memory: 5148 grad_norm: 9.6823 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4456 loss: 1.4456 2022/06/28 22:46:16 - mmengine - INFO - Epoch(train) [99][3240/3757] lr: 1.000e-04 eta: 0:18:53 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 9.8164 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4220 loss: 1.4220 2022/06/28 22:46:22 - mmengine - INFO - Epoch(train) [99][3260/3757] lr: 1.000e-04 eta: 0:18:48 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 9.4524 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2636 loss: 1.2636 2022/06/28 22:46:27 - mmengine - INFO - Epoch(train) [99][3280/3757] lr: 1.000e-04 eta: 0:18:43 time: 0.217 data_time: 0.031 memory: 5148 grad_norm: 7.6079 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8814 loss: 0.8814 2022/06/28 22:46:32 - mmengine - INFO - Epoch(train) [99][3300/3757] lr: 1.000e-04 eta: 0:18:38 time: 0.195 data_time: 0.010 memory: 5148 grad_norm: 10.5841 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2053 loss: 1.2053 2022/06/28 22:46:38 - mmengine - INFO - Epoch(train) [99][3320/3757] lr: 1.000e-04 eta: 0:18:32 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 10.9922 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3548 loss: 1.3548 2022/06/28 22:46:43 - mmengine - INFO - Epoch(train) [99][3340/3757] lr: 1.000e-04 eta: 0:18:27 time: 0.208 data_time: 0.015 memory: 5148 grad_norm: 9.4059 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9241 loss: 0.9241 2022/06/28 22:46:48 - mmengine - INFO - Epoch(train) [99][3360/3757] lr: 1.000e-04 eta: 0:18:22 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 8.6035 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1712 loss: 1.1712 2022/06/28 22:46:54 - mmengine - INFO - Epoch(train) [99][3380/3757] lr: 1.000e-04 eta: 0:18:16 time: 0.285 data_time: 0.009 memory: 5148 grad_norm: 9.3819 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1798 loss: 1.1798 2022/06/28 22:47:00 - mmengine - INFO - Epoch(train) [99][3400/3757] lr: 1.000e-04 eta: 0:18:11 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 10.3264 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2461 loss: 1.2461 2022/06/28 22:47:04 - mmengine - INFO - Epoch(train) [99][3420/3757] lr: 1.000e-04 eta: 0:18:06 time: 0.200 data_time: 0.011 memory: 5148 grad_norm: 9.1981 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3294 loss: 1.3294 2022/06/28 22:47:10 - mmengine - INFO - Epoch(train) [99][3440/3757] lr: 1.000e-04 eta: 0:18:00 time: 0.209 data_time: 0.007 memory: 5148 grad_norm: 8.9262 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0336 loss: 1.0336 2022/06/28 22:47:15 - mmengine - INFO - Epoch(train) [99][3460/3757] lr: 1.000e-04 eta: 0:17:55 time: 0.198 data_time: 0.008 memory: 5148 grad_norm: 9.2748 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0721 loss: 1.0721 2022/06/28 22:47:20 - mmengine - INFO - Epoch(train) [99][3480/3757] lr: 1.000e-04 eta: 0:17:50 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 10.2822 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8351 loss: 0.8351 2022/06/28 22:47:26 - mmengine - INFO - Epoch(train) [99][3500/3757] lr: 1.000e-04 eta: 0:17:45 time: 0.207 data_time: 0.011 memory: 5148 grad_norm: 9.6217 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1712 loss: 1.1712 2022/06/28 22:47:31 - mmengine - INFO - Epoch(train) [99][3520/3757] lr: 1.000e-04 eta: 0:17:39 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 9.4265 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1689 loss: 1.1689 2022/06/28 22:47:36 - mmengine - INFO - Epoch(train) [99][3540/3757] lr: 1.000e-04 eta: 0:17:34 time: 0.210 data_time: 0.014 memory: 5148 grad_norm: 10.1801 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9319 loss: 0.9319 2022/06/28 22:47:42 - mmengine - INFO - Epoch(train) [99][3560/3757] lr: 1.000e-04 eta: 0:17:29 time: 0.214 data_time: 0.008 memory: 5148 grad_norm: 7.2996 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1500 loss: 1.1500 2022/06/28 22:47:47 - mmengine - INFO - Epoch(train) [99][3580/3757] lr: 1.000e-04 eta: 0:17:23 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 7.6453 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1070 loss: 1.1070 2022/06/28 22:47:52 - mmengine - INFO - Epoch(train) [99][3600/3757] lr: 1.000e-04 eta: 0:17:18 time: 0.209 data_time: 0.012 memory: 5148 grad_norm: 8.4761 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1297 loss: 1.1297 2022/06/28 22:47:58 - mmengine - INFO - Epoch(train) [99][3620/3757] lr: 1.000e-04 eta: 0:17:13 time: 0.316 data_time: 0.007 memory: 5148 grad_norm: 8.9887 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0974 loss: 1.0974 2022/06/28 22:48:03 - mmengine - INFO - Epoch(train) [99][3640/3757] lr: 1.000e-04 eta: 0:17:07 time: 0.210 data_time: 0.008 memory: 5148 grad_norm: 10.9223 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1288 loss: 1.1288 2022/06/28 22:48:09 - mmengine - INFO - Epoch(train) [99][3660/3757] lr: 1.000e-04 eta: 0:17:02 time: 0.219 data_time: 0.036 memory: 5148 grad_norm: 9.5333 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5269 loss: 1.5269 2022/06/28 22:48:14 - mmengine - INFO - Epoch(train) [99][3680/3757] lr: 1.000e-04 eta: 0:16:57 time: 0.237 data_time: 0.050 memory: 5148 grad_norm: 11.6987 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0578 loss: 1.0578 2022/06/28 22:48:19 - mmengine - INFO - Epoch(train) [99][3700/3757] lr: 1.000e-04 eta: 0:16:51 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 11.1040 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1002 loss: 1.1002 2022/06/28 22:48:24 - mmengine - INFO - Epoch(train) [99][3720/3757] lr: 1.000e-04 eta: 0:16:46 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 9.7748 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0957 loss: 1.0957 2022/06/28 22:48:30 - mmengine - INFO - Epoch(train) [99][3740/3757] lr: 1.000e-04 eta: 0:16:41 time: 0.217 data_time: 0.023 memory: 5148 grad_norm: 11.7420 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0868 loss: 1.0868 2022/06/28 22:48:33 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 22:48:40 - mmengine - INFO - Epoch(val) [99][20/310] eta: 0:01:06 time: 0.079 data_time: 0.008 memory: 5148 2022/06/28 22:48:44 - mmengine - INFO - Epoch(val) [99][40/310] eta: 0:00:59 time: 0.077 data_time: 0.006 memory: 1367 2022/06/28 22:48:50 - mmengine - INFO - Epoch(val) [99][60/310] eta: 0:00:52 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 22:48:55 - mmengine - INFO - Epoch(val) [99][80/310] eta: 0:00:54 time: 0.085 data_time: 0.009 memory: 1367 2022/06/28 22:49:01 - mmengine - INFO - Epoch(val) [99][100/310] eta: 0:00:48 time: 0.079 data_time: 0.008 memory: 1367 2022/06/28 22:49:05 - mmengine - INFO - Epoch(val) [99][120/310] eta: 0:00:48 time: 0.262 data_time: 0.190 memory: 1367 2022/06/28 22:49:12 - mmengine - INFO - Epoch(val) [99][140/310] eta: 0:00:55 time: 0.942 data_time: 0.861 memory: 1367 2022/06/28 22:49:16 - mmengine - INFO - Epoch(val) [99][160/310] eta: 0:00:33 time: 0.086 data_time: 0.009 memory: 1367 2022/06/28 22:49:22 - mmengine - INFO - Epoch(val) [99][180/310] eta: 0:00:47 time: 0.928 data_time: 0.857 memory: 1367 2022/06/28 22:49:27 - mmengine - INFO - Epoch(val) [99][200/310] eta: 0:00:26 time: 0.080 data_time: 0.008 memory: 1367 2022/06/28 22:49:33 - mmengine - INFO - Epoch(val) [99][220/310] eta: 0:00:34 time: 0.537 data_time: 0.466 memory: 1367 2022/06/28 22:49:38 - mmengine - INFO - Epoch(val) [99][240/310] eta: 0:00:13 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 22:49:43 - mmengine - INFO - Epoch(val) [99][260/310] eta: 0:00:18 time: 0.418 data_time: 0.341 memory: 1367 2022/06/28 22:49:48 - mmengine - INFO - Epoch(val) [99][280/310] eta: 0:00:06 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 22:49:54 - mmengine - INFO - Epoch(val) [99][300/310] eta: 0:00:03 time: 0.400 data_time: 0.320 memory: 1367 2022/06/28 22:49:57 - mmengine - INFO - Epoch(val) [99][310/310] acc/top1: 0.6626 acc/top5: 0.8622 acc/mean1: 0.6625 2022/06/28 22:50:06 - mmengine - INFO - Epoch(train) [100][20/3757] lr: 1.000e-04 eta: 0:16:31 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 7.2175 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9849 loss: 0.9849 2022/06/28 22:50:11 - mmengine - INFO - Epoch(train) [100][40/3757] lr: 1.000e-04 eta: 0:16:26 time: 0.209 data_time: 0.012 memory: 5148 grad_norm: 9.3908 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2468 loss: 1.2468 2022/06/28 22:50:16 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 22:50:16 - mmengine - INFO - Epoch(train) [100][60/3757] lr: 1.000e-04 eta: 0:16:20 time: 0.195 data_time: 0.012 memory: 5148 grad_norm: 9.7554 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1883 loss: 1.1883 2022/06/28 22:50:22 - mmengine - INFO - Epoch(train) [100][80/3757] lr: 1.000e-04 eta: 0:16:15 time: 0.205 data_time: 0.014 memory: 5148 grad_norm: 9.4156 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1715 loss: 1.1715 2022/06/28 22:50:27 - mmengine - INFO - Epoch(train) [100][100/3757] lr: 1.000e-04 eta: 0:16:10 time: 0.199 data_time: 0.019 memory: 5148 grad_norm: 8.5847 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0813 loss: 1.0813 2022/06/28 22:50:32 - mmengine - INFO - Epoch(train) [100][120/3757] lr: 1.000e-04 eta: 0:16:04 time: 0.214 data_time: 0.010 memory: 5148 grad_norm: 9.9008 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1497 loss: 1.1497 2022/06/28 22:50:38 - mmengine - INFO - Epoch(train) [100][140/3757] lr: 1.000e-04 eta: 0:15:59 time: 0.203 data_time: 0.012 memory: 5148 grad_norm: 9.0581 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4900 loss: 1.4900 2022/06/28 22:50:43 - mmengine - INFO - Epoch(train) [100][160/3757] lr: 1.000e-04 eta: 0:15:54 time: 0.221 data_time: 0.039 memory: 5148 grad_norm: 9.4945 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9184 loss: 0.9184 2022/06/28 22:50:48 - mmengine - INFO - Epoch(train) [100][180/3757] lr: 1.000e-04 eta: 0:15:49 time: 0.196 data_time: 0.011 memory: 5148 grad_norm: 8.8327 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1402 loss: 1.1402 2022/06/28 22:50:54 - mmengine - INFO - Epoch(train) [100][200/3757] lr: 1.000e-04 eta: 0:15:43 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 9.4508 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7685 loss: 0.7685 2022/06/28 22:50:59 - mmengine - INFO - Epoch(train) [100][220/3757] lr: 1.000e-04 eta: 0:15:38 time: 0.213 data_time: 0.011 memory: 5148 grad_norm: 11.5351 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3051 loss: 1.3051 2022/06/28 22:51:04 - mmengine - INFO - Epoch(train) [100][240/3757] lr: 1.000e-04 eta: 0:15:33 time: 0.193 data_time: 0.008 memory: 5148 grad_norm: 9.4052 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9297 loss: 0.9297 2022/06/28 22:51:10 - mmengine - INFO - Epoch(train) [100][260/3757] lr: 1.000e-04 eta: 0:15:27 time: 0.204 data_time: 0.009 memory: 5148 grad_norm: 8.0710 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2490 loss: 1.2490 2022/06/28 22:51:15 - mmengine - INFO - Epoch(train) [100][280/3757] lr: 1.000e-04 eta: 0:15:22 time: 0.207 data_time: 0.017 memory: 5148 grad_norm: 9.3708 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9839 loss: 0.9839 2022/06/28 22:51:20 - mmengine - INFO - Epoch(train) [100][300/3757] lr: 1.000e-04 eta: 0:15:17 time: 0.205 data_time: 0.010 memory: 5148 grad_norm: 10.5709 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1103 loss: 1.1103 2022/06/28 22:51:26 - mmengine - INFO - Epoch(train) [100][320/3757] lr: 1.000e-04 eta: 0:15:11 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 9.5415 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5750 loss: 1.5750 2022/06/28 22:51:31 - mmengine - INFO - Epoch(train) [100][340/3757] lr: 1.000e-04 eta: 0:15:06 time: 0.210 data_time: 0.013 memory: 5148 grad_norm: 9.3484 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0797 loss: 1.0797 2022/06/28 22:51:36 - mmengine - INFO - Epoch(train) [100][360/3757] lr: 1.000e-04 eta: 0:15:01 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 7.5724 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2360 loss: 1.2360 2022/06/28 22:51:42 - mmengine - INFO - Epoch(train) [100][380/3757] lr: 1.000e-04 eta: 0:14:56 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 10.1442 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0921 loss: 1.0921 2022/06/28 22:51:48 - mmengine - INFO - Epoch(train) [100][400/3757] lr: 1.000e-04 eta: 0:14:50 time: 0.888 data_time: 0.022 memory: 5148 grad_norm: 11.0401 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2596 loss: 1.2596 2022/06/28 22:51:53 - mmengine - INFO - Epoch(train) [100][420/3757] lr: 1.000e-04 eta: 0:14:45 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 9.6186 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9655 loss: 0.9655 2022/06/28 22:51:58 - mmengine - INFO - Epoch(train) [100][440/3757] lr: 1.000e-04 eta: 0:14:40 time: 0.195 data_time: 0.007 memory: 5148 grad_norm: 9.8965 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4922 loss: 1.4922 2022/06/28 22:52:04 - mmengine - INFO - Epoch(train) [100][460/3757] lr: 1.000e-04 eta: 0:14:34 time: 0.371 data_time: 0.171 memory: 5148 grad_norm: 8.5806 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9718 loss: 0.9718 2022/06/28 22:52:08 - mmengine - INFO - Epoch(train) [100][480/3757] lr: 1.000e-04 eta: 0:14:29 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 8.4935 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9179 loss: 0.9179 2022/06/28 22:52:14 - mmengine - INFO - Epoch(train) [100][500/3757] lr: 1.000e-04 eta: 0:14:24 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 9.6351 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8035 loss: 0.8035 2022/06/28 22:52:20 - mmengine - INFO - Epoch(train) [100][520/3757] lr: 1.000e-04 eta: 0:14:18 time: 0.989 data_time: 0.030 memory: 5148 grad_norm: 9.9599 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9900 loss: 0.9900 2022/06/28 22:52:24 - mmengine - INFO - Epoch(train) [100][540/3757] lr: 1.000e-04 eta: 0:14:13 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 10.7748 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6131 loss: 1.6131 2022/06/28 22:52:30 - mmengine - INFO - Epoch(train) [100][560/3757] lr: 1.000e-04 eta: 0:14:08 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 9.0848 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8972 loss: 0.8972 2022/06/28 22:52:36 - mmengine - INFO - Epoch(train) [100][580/3757] lr: 1.000e-04 eta: 0:14:02 time: 0.639 data_time: 0.029 memory: 5148 grad_norm: 9.5106 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8109 loss: 0.8109 2022/06/28 22:52:40 - mmengine - INFO - Epoch(train) [100][600/3757] lr: 1.000e-04 eta: 0:13:57 time: 0.215 data_time: 0.008 memory: 5148 grad_norm: 10.1928 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1464 loss: 1.1464 2022/06/28 22:52:46 - mmengine - INFO - Epoch(train) [100][620/3757] lr: 1.000e-04 eta: 0:13:52 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 11.5069 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7698 loss: 1.7698 2022/06/28 22:52:51 - mmengine - INFO - Epoch(train) [100][640/3757] lr: 1.000e-04 eta: 0:13:47 time: 0.235 data_time: 0.010 memory: 5148 grad_norm: 9.7853 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0115 loss: 1.0115 2022/06/28 22:52:56 - mmengine - INFO - Epoch(train) [100][660/3757] lr: 1.000e-04 eta: 0:13:41 time: 0.209 data_time: 0.011 memory: 5148 grad_norm: 8.3616 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3657 loss: 1.3657 2022/06/28 22:53:02 - mmengine - INFO - Epoch(train) [100][680/3757] lr: 1.000e-04 eta: 0:13:36 time: 0.197 data_time: 0.008 memory: 5148 grad_norm: 10.0255 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1393 loss: 1.1393 2022/06/28 22:53:07 - mmengine - INFO - Epoch(train) [100][700/3757] lr: 1.000e-04 eta: 0:13:31 time: 0.213 data_time: 0.013 memory: 5148 grad_norm: 9.2300 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8991 loss: 0.8991 2022/06/28 22:53:12 - mmengine - INFO - Epoch(train) [100][720/3757] lr: 1.000e-04 eta: 0:13:25 time: 0.206 data_time: 0.012 memory: 5148 grad_norm: 8.7951 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8128 loss: 0.8128 2022/06/28 22:53:17 - mmengine - INFO - Epoch(train) [100][740/3757] lr: 1.000e-04 eta: 0:13:20 time: 0.201 data_time: 0.009 memory: 5148 grad_norm: 11.1000 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5905 loss: 1.5905 2022/06/28 22:53:23 - mmengine - INFO - Epoch(train) [100][760/3757] lr: 1.000e-04 eta: 0:13:15 time: 0.634 data_time: 0.010 memory: 5148 grad_norm: 8.7903 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8930 loss: 0.8930 2022/06/28 22:53:28 - mmengine - INFO - Epoch(train) [100][780/3757] lr: 1.000e-04 eta: 0:13:09 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 10.1406 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9805 loss: 0.9805 2022/06/28 22:53:34 - mmengine - INFO - Epoch(train) [100][800/3757] lr: 1.000e-04 eta: 0:13:04 time: 0.201 data_time: 0.007 memory: 5148 grad_norm: 9.1830 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2593 loss: 1.2593 2022/06/28 22:53:39 - mmengine - INFO - Epoch(train) [100][820/3757] lr: 1.000e-04 eta: 0:12:59 time: 0.564 data_time: 0.011 memory: 5148 grad_norm: 9.2586 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2015 loss: 1.2015 2022/06/28 22:53:44 - mmengine - INFO - Epoch(train) [100][840/3757] lr: 1.000e-04 eta: 0:12:53 time: 0.236 data_time: 0.016 memory: 5148 grad_norm: 9.0484 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9306 loss: 0.9306 2022/06/28 22:53:50 - mmengine - INFO - Epoch(train) [100][860/3757] lr: 1.000e-04 eta: 0:12:48 time: 0.207 data_time: 0.011 memory: 5148 grad_norm: 8.8155 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0585 loss: 1.0585 2022/06/28 22:53:55 - mmengine - INFO - Epoch(train) [100][880/3757] lr: 1.000e-04 eta: 0:12:43 time: 0.980 data_time: 0.011 memory: 5148 grad_norm: 9.9007 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9084 loss: 0.9084 2022/06/28 22:54:00 - mmengine - INFO - Epoch(train) [100][900/3757] lr: 1.000e-04 eta: 0:12:38 time: 0.206 data_time: 0.011 memory: 5148 grad_norm: 8.5989 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0387 loss: 1.0387 2022/06/28 22:54:05 - mmengine - INFO - Epoch(train) [100][920/3757] lr: 1.000e-04 eta: 0:12:32 time: 0.208 data_time: 0.011 memory: 5148 grad_norm: 7.6885 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3807 loss: 1.3807 2022/06/28 22:54:11 - mmengine - INFO - Epoch(train) [100][940/3757] lr: 1.000e-04 eta: 0:12:27 time: 0.848 data_time: 0.011 memory: 5148 grad_norm: 10.0672 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0065 loss: 1.0065 2022/06/28 22:54:16 - mmengine - INFO - Epoch(train) [100][960/3757] lr: 1.000e-04 eta: 0:12:22 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 9.6116 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9858 loss: 0.9858 2022/06/28 22:54:21 - mmengine - INFO - Epoch(train) [100][980/3757] lr: 1.000e-04 eta: 0:12:16 time: 0.205 data_time: 0.017 memory: 5148 grad_norm: 8.8370 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0313 loss: 1.0313 2022/06/28 22:54:27 - mmengine - INFO - Epoch(train) [100][1000/3757] lr: 1.000e-04 eta: 0:12:11 time: 0.909 data_time: 0.007 memory: 5148 grad_norm: 7.9612 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9631 loss: 0.9631 2022/06/28 22:54:31 - mmengine - INFO - Epoch(train) [100][1020/3757] lr: 1.000e-04 eta: 0:12:06 time: 0.206 data_time: 0.018 memory: 5148 grad_norm: 10.6017 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1071 loss: 1.1071 2022/06/28 22:54:37 - mmengine - INFO - Epoch(train) [100][1040/3757] lr: 1.000e-04 eta: 0:12:00 time: 0.212 data_time: 0.011 memory: 5148 grad_norm: 9.7957 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9735 loss: 0.9735 2022/06/28 22:54:41 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 22:54:42 - mmengine - INFO - Epoch(train) [100][1060/3757] lr: 1.000e-04 eta: 0:11:55 time: 0.752 data_time: 0.008 memory: 5148 grad_norm: 9.6573 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0234 loss: 1.0234 2022/06/28 22:54:47 - mmengine - INFO - Epoch(train) [100][1080/3757] lr: 1.000e-04 eta: 0:11:50 time: 0.207 data_time: 0.010 memory: 5148 grad_norm: 8.4712 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1917 loss: 1.1917 2022/06/28 22:54:53 - mmengine - INFO - Epoch(train) [100][1100/3757] lr: 1.000e-04 eta: 0:11:44 time: 0.204 data_time: 0.020 memory: 5148 grad_norm: 9.9268 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0940 loss: 1.0940 2022/06/28 22:54:58 - mmengine - INFO - Epoch(train) [100][1120/3757] lr: 1.000e-04 eta: 0:11:39 time: 0.493 data_time: 0.009 memory: 5148 grad_norm: 8.5579 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9952 loss: 0.9952 2022/06/28 22:55:03 - mmengine - INFO - Epoch(train) [100][1140/3757] lr: 1.000e-04 eta: 0:11:34 time: 0.217 data_time: 0.014 memory: 5148 grad_norm: 7.7914 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0651 loss: 1.0651 2022/06/28 22:55:08 - mmengine - INFO - Epoch(train) [100][1160/3757] lr: 1.000e-04 eta: 0:11:29 time: 0.220 data_time: 0.012 memory: 5148 grad_norm: 7.8918 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4383 loss: 1.4383 2022/06/28 22:55:13 - mmengine - INFO - Epoch(train) [100][1180/3757] lr: 1.000e-04 eta: 0:11:23 time: 0.674 data_time: 0.007 memory: 5148 grad_norm: 12.4359 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2759 loss: 1.2759 2022/06/28 22:55:18 - mmengine - INFO - Epoch(train) [100][1200/3757] lr: 1.000e-04 eta: 0:11:18 time: 0.222 data_time: 0.015 memory: 5148 grad_norm: 8.3239 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2122 loss: 1.2122 2022/06/28 22:55:24 - mmengine - INFO - Epoch(train) [100][1220/3757] lr: 1.000e-04 eta: 0:11:13 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 8.5039 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2650 loss: 1.2650 2022/06/28 22:55:29 - mmengine - INFO - Epoch(train) [100][1240/3757] lr: 1.000e-04 eta: 0:11:07 time: 0.823 data_time: 0.008 memory: 5148 grad_norm: 8.7302 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9811 loss: 0.9811 2022/06/28 22:55:34 - mmengine - INFO - Epoch(train) [100][1260/3757] lr: 1.000e-04 eta: 0:11:02 time: 0.217 data_time: 0.007 memory: 5148 grad_norm: 7.9671 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0270 loss: 1.0270 2022/06/28 22:55:40 - mmengine - INFO - Epoch(train) [100][1280/3757] lr: 1.000e-04 eta: 0:10:57 time: 0.206 data_time: 0.010 memory: 5148 grad_norm: 8.0327 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0632 loss: 1.0632 2022/06/28 22:55:45 - mmengine - INFO - Epoch(train) [100][1300/3757] lr: 1.000e-04 eta: 0:10:51 time: 0.857 data_time: 0.011 memory: 5148 grad_norm: 6.9831 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7741 loss: 0.7741 2022/06/28 22:55:50 - mmengine - INFO - Epoch(train) [100][1320/3757] lr: 1.000e-04 eta: 0:10:46 time: 0.216 data_time: 0.006 memory: 5148 grad_norm: 11.0443 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9243 loss: 0.9243 2022/06/28 22:55:55 - mmengine - INFO - Epoch(train) [100][1340/3757] lr: 1.000e-04 eta: 0:10:41 time: 0.212 data_time: 0.020 memory: 5148 grad_norm: 9.7677 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2087 loss: 1.2087 2022/06/28 22:56:01 - mmengine - INFO - Epoch(train) [100][1360/3757] lr: 1.000e-04 eta: 0:10:35 time: 1.350 data_time: 0.009 memory: 5148 grad_norm: 10.2481 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0084 loss: 1.0084 2022/06/28 22:56:05 - mmengine - INFO - Epoch(train) [100][1380/3757] lr: 1.000e-04 eta: 0:10:30 time: 0.217 data_time: 0.008 memory: 5148 grad_norm: 9.8448 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1493 loss: 1.1493 2022/06/28 22:56:11 - mmengine - INFO - Epoch(train) [100][1400/3757] lr: 1.000e-04 eta: 0:10:25 time: 0.202 data_time: 0.015 memory: 5148 grad_norm: 8.9755 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9867 loss: 0.9867 2022/06/28 22:56:17 - mmengine - INFO - Epoch(train) [100][1420/3757] lr: 1.000e-04 eta: 0:10:20 time: 1.149 data_time: 0.007 memory: 5148 grad_norm: 7.8979 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9957 loss: 0.9957 2022/06/28 22:56:22 - mmengine - INFO - Epoch(train) [100][1440/3757] lr: 1.000e-04 eta: 0:10:14 time: 0.207 data_time: 0.008 memory: 5148 grad_norm: 9.8878 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0230 loss: 1.0230 2022/06/28 22:56:27 - mmengine - INFO - Epoch(train) [100][1460/3757] lr: 1.000e-04 eta: 0:10:09 time: 0.199 data_time: 0.016 memory: 5148 grad_norm: 8.3887 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1659 loss: 1.1659 2022/06/28 22:56:32 - mmengine - INFO - Epoch(train) [100][1480/3757] lr: 1.000e-04 eta: 0:10:04 time: 0.650 data_time: 0.006 memory: 5148 grad_norm: 10.5072 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0393 loss: 1.0393 2022/06/28 22:56:37 - mmengine - INFO - Epoch(train) [100][1500/3757] lr: 1.000e-04 eta: 0:09:58 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 10.3692 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0806 loss: 1.0806 2022/06/28 22:56:43 - mmengine - INFO - Epoch(train) [100][1520/3757] lr: 1.000e-04 eta: 0:09:53 time: 0.215 data_time: 0.014 memory: 5148 grad_norm: 10.1376 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0205 loss: 1.0205 2022/06/28 22:56:48 - mmengine - INFO - Epoch(train) [100][1540/3757] lr: 1.000e-04 eta: 0:09:48 time: 0.382 data_time: 0.007 memory: 5148 grad_norm: 9.4339 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2784 loss: 1.2784 2022/06/28 22:56:53 - mmengine - INFO - Epoch(train) [100][1560/3757] lr: 1.000e-04 eta: 0:09:42 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 10.7865 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3363 loss: 1.3363 2022/06/28 22:56:58 - mmengine - INFO - Epoch(train) [100][1580/3757] lr: 1.000e-04 eta: 0:09:37 time: 0.206 data_time: 0.022 memory: 5148 grad_norm: 8.5595 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5089 loss: 1.5089 2022/06/28 22:57:04 - mmengine - INFO - Epoch(train) [100][1600/3757] lr: 1.000e-04 eta: 0:09:32 time: 0.893 data_time: 0.011 memory: 5148 grad_norm: 10.0599 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1876 loss: 1.1876 2022/06/28 22:57:09 - mmengine - INFO - Epoch(train) [100][1620/3757] lr: 1.000e-04 eta: 0:09:26 time: 0.195 data_time: 0.008 memory: 5148 grad_norm: 9.7629 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1016 loss: 1.1016 2022/06/28 22:57:14 - mmengine - INFO - Epoch(train) [100][1640/3757] lr: 1.000e-04 eta: 0:09:21 time: 0.206 data_time: 0.019 memory: 5148 grad_norm: 9.7959 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4346 loss: 1.4346 2022/06/28 22:57:20 - mmengine - INFO - Epoch(train) [100][1660/3757] lr: 1.000e-04 eta: 0:09:16 time: 0.209 data_time: 0.008 memory: 5148 grad_norm: 9.1287 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1595 loss: 1.1595 2022/06/28 22:57:25 - mmengine - INFO - Epoch(train) [100][1680/3757] lr: 1.000e-04 eta: 0:09:11 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 10.9212 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2513 loss: 1.2513 2022/06/28 22:57:31 - mmengine - INFO - Epoch(train) [100][1700/3757] lr: 1.000e-04 eta: 0:09:05 time: 0.212 data_time: 0.013 memory: 5148 grad_norm: 9.0794 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8204 loss: 0.8204 2022/06/28 22:57:36 - mmengine - INFO - Epoch(train) [100][1720/3757] lr: 1.000e-04 eta: 0:09:00 time: 0.236 data_time: 0.012 memory: 5148 grad_norm: 9.1924 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0254 loss: 1.0254 2022/06/28 22:57:41 - mmengine - INFO - Epoch(train) [100][1740/3757] lr: 1.000e-04 eta: 0:08:55 time: 0.225 data_time: 0.007 memory: 5148 grad_norm: 9.0849 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3280 loss: 1.3280 2022/06/28 22:57:46 - mmengine - INFO - Epoch(train) [100][1760/3757] lr: 1.000e-04 eta: 0:08:49 time: 0.204 data_time: 0.014 memory: 5148 grad_norm: 9.4295 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8229 loss: 0.8229 2022/06/28 22:57:52 - mmengine - INFO - Epoch(train) [100][1780/3757] lr: 1.000e-04 eta: 0:08:44 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 9.0018 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2261 loss: 1.2261 2022/06/28 22:57:57 - mmengine - INFO - Epoch(train) [100][1800/3757] lr: 1.000e-04 eta: 0:08:39 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 9.6205 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2149 loss: 1.2149 2022/06/28 22:58:02 - mmengine - INFO - Epoch(train) [100][1820/3757] lr: 1.000e-04 eta: 0:08:33 time: 0.202 data_time: 0.008 memory: 5148 grad_norm: 8.6541 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1984 loss: 1.1984 2022/06/28 22:58:08 - mmengine - INFO - Epoch(train) [100][1840/3757] lr: 1.000e-04 eta: 0:08:28 time: 0.212 data_time: 0.008 memory: 5148 grad_norm: 10.2317 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1091 loss: 1.1091 2022/06/28 22:58:14 - mmengine - INFO - Epoch(train) [100][1860/3757] lr: 1.000e-04 eta: 0:08:23 time: 0.208 data_time: 0.008 memory: 5148 grad_norm: 10.9102 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3404 loss: 1.3404 2022/06/28 22:58:19 - mmengine - INFO - Epoch(train) [100][1880/3757] lr: 1.000e-04 eta: 0:08:18 time: 0.211 data_time: 0.008 memory: 5148 grad_norm: 9.2265 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3127 loss: 1.3127 2022/06/28 22:58:24 - mmengine - INFO - Epoch(train) [100][1900/3757] lr: 1.000e-04 eta: 0:08:12 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 10.1839 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1182 loss: 1.1182 2022/06/28 22:58:29 - mmengine - INFO - Epoch(train) [100][1920/3757] lr: 1.000e-04 eta: 0:08:07 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 11.2200 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.1885 loss: 1.1885 2022/06/28 22:58:34 - mmengine - INFO - Epoch(train) [100][1940/3757] lr: 1.000e-04 eta: 0:08:02 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 8.7905 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0211 loss: 1.0211 2022/06/28 22:58:40 - mmengine - INFO - Epoch(train) [100][1960/3757] lr: 1.000e-04 eta: 0:07:56 time: 0.219 data_time: 0.007 memory: 5148 grad_norm: 9.2104 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3220 loss: 1.3220 2022/06/28 22:58:45 - mmengine - INFO - Epoch(train) [100][1980/3757] lr: 1.000e-04 eta: 0:07:51 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 9.2100 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5367 loss: 1.5367 2022/06/28 22:58:51 - mmengine - INFO - Epoch(train) [100][2000/3757] lr: 1.000e-04 eta: 0:07:46 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 8.1913 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8855 loss: 0.8855 2022/06/28 22:58:56 - mmengine - INFO - Epoch(train) [100][2020/3757] lr: 1.000e-04 eta: 0:07:40 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 10.4897 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1239 loss: 1.1239 2022/06/28 22:59:02 - mmengine - INFO - Epoch(train) [100][2040/3757] lr: 1.000e-04 eta: 0:07:35 time: 0.214 data_time: 0.006 memory: 5148 grad_norm: 10.9669 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8501 loss: 0.8501 2022/06/28 22:59:06 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 22:59:07 - mmengine - INFO - Epoch(train) [100][2060/3757] lr: 1.000e-04 eta: 0:07:30 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 9.0917 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9568 loss: 0.9568 2022/06/28 22:59:12 - mmengine - INFO - Epoch(train) [100][2080/3757] lr: 1.000e-04 eta: 0:07:24 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 9.4523 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3738 loss: 1.3738 2022/06/28 22:59:18 - mmengine - INFO - Epoch(train) [100][2100/3757] lr: 1.000e-04 eta: 0:07:19 time: 0.197 data_time: 0.012 memory: 5148 grad_norm: 10.6140 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9930 loss: 0.9930 2022/06/28 22:59:22 - mmengine - INFO - Epoch(train) [100][2120/3757] lr: 1.000e-04 eta: 0:07:14 time: 0.202 data_time: 0.007 memory: 5148 grad_norm: 9.0825 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5460 loss: 1.5460 2022/06/28 22:59:28 - mmengine - INFO - Epoch(train) [100][2140/3757] lr: 1.000e-04 eta: 0:07:09 time: 0.203 data_time: 0.007 memory: 5148 grad_norm: 8.7152 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9600 loss: 0.9600 2022/06/28 22:59:33 - mmengine - INFO - Epoch(train) [100][2160/3757] lr: 1.000e-04 eta: 0:07:03 time: 0.201 data_time: 0.013 memory: 5148 grad_norm: 8.3494 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0629 loss: 1.0629 2022/06/28 22:59:38 - mmengine - INFO - Epoch(train) [100][2180/3757] lr: 1.000e-04 eta: 0:06:58 time: 0.205 data_time: 0.012 memory: 5148 grad_norm: 10.3080 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3278 loss: 1.3278 2022/06/28 22:59:43 - mmengine - INFO - Epoch(train) [100][2200/3757] lr: 1.000e-04 eta: 0:06:53 time: 0.206 data_time: 0.009 memory: 5148 grad_norm: 9.1857 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1360 loss: 1.1360 2022/06/28 22:59:48 - mmengine - INFO - Epoch(train) [100][2220/3757] lr: 1.000e-04 eta: 0:06:47 time: 0.202 data_time: 0.013 memory: 5148 grad_norm: 8.5985 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0302 loss: 1.0302 2022/06/28 22:59:53 - mmengine - INFO - Epoch(train) [100][2240/3757] lr: 1.000e-04 eta: 0:06:42 time: 0.201 data_time: 0.011 memory: 5148 grad_norm: 11.7614 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2891 loss: 1.2891 2022/06/28 22:59:59 - mmengine - INFO - Epoch(train) [100][2260/3757] lr: 1.000e-04 eta: 0:06:37 time: 0.203 data_time: 0.008 memory: 5148 grad_norm: 8.4590 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1026 loss: 1.1026 2022/06/28 23:00:04 - mmengine - INFO - Epoch(train) [100][2280/3757] lr: 1.000e-04 eta: 0:06:31 time: 0.213 data_time: 0.022 memory: 5148 grad_norm: 8.5327 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2843 loss: 1.2843 2022/06/28 23:00:09 - mmengine - INFO - Epoch(train) [100][2300/3757] lr: 1.000e-04 eta: 0:06:26 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 8.4995 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4445 loss: 1.4445 2022/06/28 23:00:15 - mmengine - INFO - Epoch(train) [100][2320/3757] lr: 1.000e-04 eta: 0:06:21 time: 0.207 data_time: 0.007 memory: 5148 grad_norm: 9.3589 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9094 loss: 0.9094 2022/06/28 23:00:20 - mmengine - INFO - Epoch(train) [100][2340/3757] lr: 1.000e-04 eta: 0:06:15 time: 0.211 data_time: 0.016 memory: 5148 grad_norm: 8.2420 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0728 loss: 1.0728 2022/06/28 23:00:25 - mmengine - INFO - Epoch(train) [100][2360/3757] lr: 1.000e-04 eta: 0:06:10 time: 0.215 data_time: 0.011 memory: 5148 grad_norm: 9.4121 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0651 loss: 1.0651 2022/06/28 23:00:31 - mmengine - INFO - Epoch(train) [100][2380/3757] lr: 1.000e-04 eta: 0:06:05 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 10.2703 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9211 loss: 0.9211 2022/06/28 23:00:37 - mmengine - INFO - Epoch(train) [100][2400/3757] lr: 1.000e-04 eta: 0:06:00 time: 0.199 data_time: 0.020 memory: 5148 grad_norm: 10.9228 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9742 loss: 0.9742 2022/06/28 23:00:41 - mmengine - INFO - Epoch(train) [100][2420/3757] lr: 1.000e-04 eta: 0:05:54 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 9.0563 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2069 loss: 1.2069 2022/06/28 23:00:47 - mmengine - INFO - Epoch(train) [100][2440/3757] lr: 1.000e-04 eta: 0:05:49 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 8.7696 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7460 loss: 0.7460 2022/06/28 23:00:52 - mmengine - INFO - Epoch(train) [100][2460/3757] lr: 1.000e-04 eta: 0:05:44 time: 0.240 data_time: 0.032 memory: 5148 grad_norm: 10.0961 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2619 loss: 1.2619 2022/06/28 23:00:57 - mmengine - INFO - Epoch(train) [100][2480/3757] lr: 1.000e-04 eta: 0:05:38 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 9.2812 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2371 loss: 1.2371 2022/06/28 23:01:03 - mmengine - INFO - Epoch(train) [100][2500/3757] lr: 1.000e-04 eta: 0:05:33 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 10.3993 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0211 loss: 1.0211 2022/06/28 23:01:09 - mmengine - INFO - Epoch(train) [100][2520/3757] lr: 1.000e-04 eta: 0:05:28 time: 0.218 data_time: 0.008 memory: 5148 grad_norm: 8.2341 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2704 loss: 1.2704 2022/06/28 23:01:13 - mmengine - INFO - Epoch(train) [100][2540/3757] lr: 1.000e-04 eta: 0:05:22 time: 0.205 data_time: 0.008 memory: 5148 grad_norm: 11.2918 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2661 loss: 1.2661 2022/06/28 23:01:19 - mmengine - INFO - Epoch(train) [100][2560/3757] lr: 1.000e-04 eta: 0:05:17 time: 0.195 data_time: 0.009 memory: 5148 grad_norm: 9.5321 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2344 loss: 1.2344 2022/06/28 23:01:25 - mmengine - INFO - Epoch(train) [100][2580/3757] lr: 1.000e-04 eta: 0:05:12 time: 0.238 data_time: 0.007 memory: 5148 grad_norm: 10.6362 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2310 loss: 1.2310 2022/06/28 23:01:29 - mmengine - INFO - Epoch(train) [100][2600/3757] lr: 1.000e-04 eta: 0:05:06 time: 0.212 data_time: 0.009 memory: 5148 grad_norm: 8.7663 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8597 loss: 0.8597 2022/06/28 23:01:34 - mmengine - INFO - Epoch(train) [100][2620/3757] lr: 1.000e-04 eta: 0:05:01 time: 0.194 data_time: 0.008 memory: 5148 grad_norm: 8.9274 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8460 loss: 0.8460 2022/06/28 23:01:40 - mmengine - INFO - Epoch(train) [100][2640/3757] lr: 1.000e-04 eta: 0:04:56 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 10.3516 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0739 loss: 1.0739 2022/06/28 23:01:45 - mmengine - INFO - Epoch(train) [100][2660/3757] lr: 1.000e-04 eta: 0:04:51 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 8.3308 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1308 loss: 1.1308 2022/06/28 23:01:51 - mmengine - INFO - Epoch(train) [100][2680/3757] lr: 1.000e-04 eta: 0:04:45 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 7.6161 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8127 loss: 0.8127 2022/06/28 23:01:56 - mmengine - INFO - Epoch(train) [100][2700/3757] lr: 1.000e-04 eta: 0:04:40 time: 0.219 data_time: 0.008 memory: 5148 grad_norm: 11.0697 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3257 loss: 1.3257 2022/06/28 23:02:01 - mmengine - INFO - Epoch(train) [100][2720/3757] lr: 1.000e-04 eta: 0:04:35 time: 0.211 data_time: 0.008 memory: 5148 grad_norm: 10.0668 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0383 loss: 1.0383 2022/06/28 23:02:07 - mmengine - INFO - Epoch(train) [100][2740/3757] lr: 1.000e-04 eta: 0:04:29 time: 0.199 data_time: 0.007 memory: 5148 grad_norm: 9.7283 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2618 loss: 1.2618 2022/06/28 23:02:12 - mmengine - INFO - Epoch(train) [100][2760/3757] lr: 1.000e-04 eta: 0:04:24 time: 0.278 data_time: 0.009 memory: 5148 grad_norm: 9.4901 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9684 loss: 0.9684 2022/06/28 23:02:17 - mmengine - INFO - Epoch(train) [100][2780/3757] lr: 1.000e-04 eta: 0:04:19 time: 0.205 data_time: 0.011 memory: 5148 grad_norm: 8.5625 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3301 loss: 1.3301 2022/06/28 23:02:23 - mmengine - INFO - Epoch(train) [100][2800/3757] lr: 1.000e-04 eta: 0:04:13 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 10.2826 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8445 loss: 0.8445 2022/06/28 23:02:28 - mmengine - INFO - Epoch(train) [100][2820/3757] lr: 1.000e-04 eta: 0:04:08 time: 0.216 data_time: 0.011 memory: 5148 grad_norm: 8.5390 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0804 loss: 1.0804 2022/06/28 23:02:34 - mmengine - INFO - Epoch(train) [100][2840/3757] lr: 1.000e-04 eta: 0:04:03 time: 0.226 data_time: 0.008 memory: 5148 grad_norm: 10.1498 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4879 loss: 1.4879 2022/06/28 23:02:39 - mmengine - INFO - Epoch(train) [100][2860/3757] lr: 1.000e-04 eta: 0:03:57 time: 0.206 data_time: 0.006 memory: 5148 grad_norm: 11.3306 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4043 loss: 1.4043 2022/06/28 23:02:44 - mmengine - INFO - Epoch(train) [100][2880/3757] lr: 1.000e-04 eta: 0:03:52 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 9.1695 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9534 loss: 0.9534 2022/06/28 23:02:49 - mmengine - INFO - Epoch(train) [100][2900/3757] lr: 1.000e-04 eta: 0:03:47 time: 0.206 data_time: 0.007 memory: 5148 grad_norm: 8.5062 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9354 loss: 0.9354 2022/06/28 23:02:54 - mmengine - INFO - Epoch(train) [100][2920/3757] lr: 1.000e-04 eta: 0:03:42 time: 0.203 data_time: 0.006 memory: 5148 grad_norm: 8.3565 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8878 loss: 0.8878 2022/06/28 23:03:00 - mmengine - INFO - Epoch(train) [100][2940/3757] lr: 1.000e-04 eta: 0:03:36 time: 0.219 data_time: 0.008 memory: 5148 grad_norm: 9.8627 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2972 loss: 1.2972 2022/06/28 23:03:05 - mmengine - INFO - Epoch(train) [100][2960/3757] lr: 1.000e-04 eta: 0:03:31 time: 0.201 data_time: 0.008 memory: 5148 grad_norm: 10.8576 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2247 loss: 1.2247 2022/06/28 23:03:10 - mmengine - INFO - Epoch(train) [100][2980/3757] lr: 1.000e-04 eta: 0:03:26 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 10.0948 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7242 loss: 0.7242 2022/06/28 23:03:15 - mmengine - INFO - Epoch(train) [100][3000/3757] lr: 1.000e-04 eta: 0:03:20 time: 0.211 data_time: 0.023 memory: 5148 grad_norm: 9.3287 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4789 loss: 1.4789 2022/06/28 23:03:21 - mmengine - INFO - Epoch(train) [100][3020/3757] lr: 1.000e-04 eta: 0:03:15 time: 0.213 data_time: 0.007 memory: 5148 grad_norm: 9.8742 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9722 loss: 0.9722 2022/06/28 23:03:26 - mmengine - INFO - Epoch(train) [100][3040/3757] lr: 1.000e-04 eta: 0:03:10 time: 0.216 data_time: 0.007 memory: 5148 grad_norm: 9.2760 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2741 loss: 1.2741 2022/06/28 23:03:31 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 23:03:31 - mmengine - INFO - Epoch(train) [100][3060/3757] lr: 1.000e-04 eta: 0:03:04 time: 0.203 data_time: 0.013 memory: 5148 grad_norm: 9.5781 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1404 loss: 1.1404 2022/06/28 23:03:36 - mmengine - INFO - Epoch(train) [100][3080/3757] lr: 1.000e-04 eta: 0:02:59 time: 0.199 data_time: 0.008 memory: 5148 grad_norm: 9.8802 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1578 loss: 1.1578 2022/06/28 23:03:42 - mmengine - INFO - Epoch(train) [100][3100/3757] lr: 1.000e-04 eta: 0:02:54 time: 0.203 data_time: 0.009 memory: 5148 grad_norm: 9.7264 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 0.9470 loss: 0.9470 2022/06/28 23:03:47 - mmengine - INFO - Epoch(train) [100][3120/3757] lr: 1.000e-04 eta: 0:02:49 time: 0.229 data_time: 0.014 memory: 5148 grad_norm: 9.3223 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9270 loss: 0.9270 2022/06/28 23:03:53 - mmengine - INFO - Epoch(train) [100][3140/3757] lr: 1.000e-04 eta: 0:02:43 time: 0.645 data_time: 0.031 memory: 5148 grad_norm: 9.5188 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1200 loss: 1.1200 2022/06/28 23:03:58 - mmengine - INFO - Epoch(train) [100][3160/3757] lr: 1.000e-04 eta: 0:02:38 time: 0.201 data_time: 0.018 memory: 5148 grad_norm: 9.2980 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2676 loss: 1.2676 2022/06/28 23:04:03 - mmengine - INFO - Epoch(train) [100][3180/3757] lr: 1.000e-04 eta: 0:02:33 time: 0.222 data_time: 0.014 memory: 5148 grad_norm: 10.4203 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2144 loss: 1.2144 2022/06/28 23:04:09 - mmengine - INFO - Epoch(train) [100][3200/3757] lr: 1.000e-04 eta: 0:02:27 time: 0.503 data_time: 0.018 memory: 5148 grad_norm: 9.0783 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0583 loss: 1.0583 2022/06/28 23:04:14 - mmengine - INFO - Epoch(train) [100][3220/3757] lr: 1.000e-04 eta: 0:02:22 time: 0.204 data_time: 0.008 memory: 5148 grad_norm: 8.4495 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2296 loss: 1.2296 2022/06/28 23:04:20 - mmengine - INFO - Epoch(train) [100][3240/3757] lr: 1.000e-04 eta: 0:02:17 time: 0.232 data_time: 0.014 memory: 5148 grad_norm: 9.2905 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2652 loss: 1.2652 2022/06/28 23:04:25 - mmengine - INFO - Epoch(train) [100][3260/3757] lr: 1.000e-04 eta: 0:02:11 time: 0.206 data_time: 0.014 memory: 5148 grad_norm: 11.4828 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1424 loss: 1.1424 2022/06/28 23:04:30 - mmengine - INFO - Epoch(train) [100][3280/3757] lr: 1.000e-04 eta: 0:02:06 time: 0.200 data_time: 0.008 memory: 5148 grad_norm: 9.2701 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8850 loss: 0.8850 2022/06/28 23:04:35 - mmengine - INFO - Epoch(train) [100][3300/3757] lr: 1.000e-04 eta: 0:02:01 time: 0.205 data_time: 0.007 memory: 5148 grad_norm: 9.8080 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3658 loss: 1.3658 2022/06/28 23:04:40 - mmengine - INFO - Epoch(train) [100][3320/3757] lr: 1.000e-04 eta: 0:01:55 time: 0.211 data_time: 0.007 memory: 5148 grad_norm: 8.6007 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2447 loss: 1.2447 2022/06/28 23:04:46 - mmengine - INFO - Epoch(train) [100][3340/3757] lr: 1.000e-04 eta: 0:01:50 time: 0.212 data_time: 0.007 memory: 5148 grad_norm: 9.2649 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1313 loss: 1.1313 2022/06/28 23:04:51 - mmengine - INFO - Epoch(train) [100][3360/3757] lr: 1.000e-04 eta: 0:01:45 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 7.9767 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2232 loss: 1.2232 2022/06/28 23:04:57 - mmengine - INFO - Epoch(train) [100][3380/3757] lr: 1.000e-04 eta: 0:01:40 time: 0.224 data_time: 0.007 memory: 5148 grad_norm: 10.1006 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2096 loss: 1.2096 2022/06/28 23:05:02 - mmengine - INFO - Epoch(train) [100][3400/3757] lr: 1.000e-04 eta: 0:01:34 time: 0.201 data_time: 0.009 memory: 5148 grad_norm: 9.0027 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2837 loss: 1.2837 2022/06/28 23:05:08 - mmengine - INFO - Epoch(train) [100][3420/3757] lr: 1.000e-04 eta: 0:01:29 time: 0.200 data_time: 0.007 memory: 5148 grad_norm: 10.1432 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1632 loss: 1.1632 2022/06/28 23:05:13 - mmengine - INFO - Epoch(train) [100][3440/3757] lr: 1.000e-04 eta: 0:01:24 time: 0.219 data_time: 0.016 memory: 5148 grad_norm: 10.9890 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9100 loss: 0.9100 2022/06/28 23:05:18 - mmengine - INFO - Epoch(train) [100][3460/3757] lr: 1.000e-04 eta: 0:01:18 time: 0.202 data_time: 0.016 memory: 5148 grad_norm: 7.9964 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9572 loss: 0.9572 2022/06/28 23:05:24 - mmengine - INFO - Epoch(train) [100][3480/3757] lr: 1.000e-04 eta: 0:01:13 time: 0.198 data_time: 0.007 memory: 5148 grad_norm: 11.2944 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2909 loss: 1.2909 2022/06/28 23:05:28 - mmengine - INFO - Epoch(train) [100][3500/3757] lr: 1.000e-04 eta: 0:01:08 time: 0.215 data_time: 0.014 memory: 5148 grad_norm: 10.7515 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8784 loss: 0.8784 2022/06/28 23:05:34 - mmengine - INFO - Epoch(train) [100][3520/3757] lr: 1.000e-04 eta: 0:01:02 time: 0.217 data_time: 0.012 memory: 5148 grad_norm: 9.1558 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8470 loss: 0.8470 2022/06/28 23:05:40 - mmengine - INFO - Epoch(train) [100][3540/3757] lr: 1.000e-04 eta: 0:00:57 time: 0.214 data_time: 0.007 memory: 5148 grad_norm: 9.1180 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1108 loss: 1.1108 2022/06/28 23:05:44 - mmengine - INFO - Epoch(train) [100][3560/3757] lr: 1.000e-04 eta: 0:00:52 time: 0.208 data_time: 0.014 memory: 5148 grad_norm: 8.2204 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0240 loss: 1.0240 2022/06/28 23:05:50 - mmengine - INFO - Epoch(train) [100][3580/3757] lr: 1.000e-04 eta: 0:00:46 time: 0.203 data_time: 0.011 memory: 5148 grad_norm: 8.8304 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0202 loss: 1.0202 2022/06/28 23:05:55 - mmengine - INFO - Epoch(train) [100][3600/3757] lr: 1.000e-04 eta: 0:00:41 time: 0.219 data_time: 0.007 memory: 5148 grad_norm: 8.2517 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2433 loss: 1.2433 2022/06/28 23:06:00 - mmengine - INFO - Epoch(train) [100][3620/3757] lr: 1.000e-04 eta: 0:00:36 time: 0.214 data_time: 0.013 memory: 5148 grad_norm: 8.5485 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2419 loss: 1.2419 2022/06/28 23:06:06 - mmengine - INFO - Epoch(train) [100][3640/3757] lr: 1.000e-04 eta: 0:00:31 time: 0.211 data_time: 0.010 memory: 5148 grad_norm: 9.1225 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8557 loss: 0.8557 2022/06/28 23:06:11 - mmengine - INFO - Epoch(train) [100][3660/3757] lr: 1.000e-04 eta: 0:00:25 time: 0.206 data_time: 0.008 memory: 5148 grad_norm: 8.0400 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0816 loss: 1.0816 2022/06/28 23:06:16 - mmengine - INFO - Epoch(train) [100][3680/3757] lr: 1.000e-04 eta: 0:00:20 time: 0.209 data_time: 0.011 memory: 5148 grad_norm: 9.6974 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3074 loss: 1.3074 2022/06/28 23:06:21 - mmengine - INFO - Epoch(train) [100][3700/3757] lr: 1.000e-04 eta: 0:00:15 time: 0.205 data_time: 0.012 memory: 5148 grad_norm: 8.9612 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9920 loss: 0.9920 2022/06/28 23:06:27 - mmengine - INFO - Epoch(train) [100][3720/3757] lr: 1.000e-04 eta: 0:00:09 time: 0.204 data_time: 0.007 memory: 5148 grad_norm: 9.8641 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9353 loss: 0.9353 2022/06/28 23:06:32 - mmengine - INFO - Epoch(train) [100][3740/3757] lr: 1.000e-04 eta: 0:00:04 time: 0.201 data_time: 0.012 memory: 5148 grad_norm: 8.1201 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1880 loss: 1.1880 2022/06/28 23:06:36 - mmengine - INFO - Exp name: i3d_r50_32x2x1_100e_kinetics400_rgb_20220627_165806 2022/06/28 23:06:36 - mmengine - INFO - Saving checkpoint at 100 epochs 2022/06/28 23:06:46 - mmengine - INFO - Epoch(val) [100][20/310] eta: 0:01:24 time: 0.600 data_time: 0.529 memory: 5148 2022/06/28 23:06:51 - mmengine - INFO - Epoch(val) [100][40/310] eta: 0:00:59 time: 0.078 data_time: 0.005 memory: 1367 2022/06/28 23:06:56 - mmengine - INFO - Epoch(val) [100][60/310] eta: 0:01:07 time: 0.427 data_time: 0.340 memory: 1367 2022/06/28 23:07:01 - mmengine - INFO - Epoch(val) [100][80/310] eta: 0:00:56 time: 0.081 data_time: 0.009 memory: 1367 2022/06/28 23:07:07 - mmengine - INFO - Epoch(val) [100][100/310] eta: 0:00:59 time: 0.201 data_time: 0.123 memory: 1367 2022/06/28 23:07:12 - mmengine - INFO - Epoch(val) [100][120/310] eta: 0:00:45 time: 0.080 data_time: 0.008 memory: 1367 2022/06/28 23:07:18 - mmengine - INFO - Epoch(val) [100][140/310] eta: 0:01:03 time: 0.609 data_time: 0.522 memory: 1367 2022/06/28 23:07:23 - mmengine - INFO - Epoch(val) [100][160/310] eta: 0:00:34 time: 0.109 data_time: 0.033 memory: 1367 2022/06/28 23:07:29 - mmengine - INFO - Epoch(val) [100][180/310] eta: 0:00:52 time: 0.682 data_time: 0.605 memory: 1367 2022/06/28 23:07:34 - mmengine - INFO - Epoch(val) [100][200/310] eta: 0:00:25 time: 0.077 data_time: 0.005 memory: 1367 2022/06/28 23:07:40 - mmengine - INFO - Epoch(val) [100][220/310] eta: 0:00:35 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 23:07:44 - mmengine - INFO - Epoch(val) [100][240/310] eta: 0:00:15 time: 0.082 data_time: 0.005 memory: 1367 2022/06/28 23:07:50 - mmengine - INFO - Epoch(val) [100][260/310] eta: 0:00:19 time: 0.076 data_time: 0.005 memory: 1367 2022/06/28 23:07:55 - mmengine - INFO - Epoch(val) [100][280/310] eta: 0:00:07 time: 0.083 data_time: 0.005 memory: 1367 2022/06/28 23:07:59 - mmengine - INFO - Epoch(val) [100][300/310] eta: 0:00:01 time: 0.081 data_time: 0.004 memory: 1367 2022/06/28 23:08:02 - mmengine - INFO - Epoch(val) [100][310/310] acc/top1: 0.6613 acc/top5: 0.8640 acc/mean1: 0.6612